Compare commits

..
Author SHA1 Message Date
adminandClaude 473ccc341b Apply scalafmt formatting
🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-09-04 21:54:07 -07:00
adminandClaude f50db80180 Migrate ResolveBreakAllianceCommand from protobuf to Scala domain models
- Converted from SimpleAction to ProtolessSimpleAction
- Changed from protobuf DiplomacyOffer to domain model BreakAlliance
- Updated make() signature to accept domain model parameters directly
- Replaced protobuf status enums with domain model Status types
- Implemented separate methods for accept and imprison operations (no reject for break alliance)
- Updated BUILD dependencies to use protoless action result types
- Created proper LLM integration with BreakAllianceResolutionMessage
- Added comprehensive validation for faction IDs and resolution options
- Set deferred=true for notifications following diplomatic pattern

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-09-04 20:09:29 -07:00
adminandClaude e13a5e209f Migrate ResolveAllianceOfferCommand from protobuf to Scala domain models
- Converted from SimpleAction to ProtolessSimpleAction
- Changed from protobuf DiplomacyOffer to domain model AllianceOffer
- Updated make() signature to accept domain model parameters directly
- Replaced protobuf status enums with domain model Status types
- Implemented separate methods for accept, reject, and imprison operations
- Updated BUILD dependencies to use protoless action result types
- Created proper LLM integration with AllianceOfferResolutionMessage
- Added comprehensive validation for faction IDs and resolution options

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-09-04 20:07:39 -07:00
admin 5d8aefb6c8 missing functionality 2025-09-04 16:54:00 -07:00
admin 54bfe56cc4 complete ResolveTribute migration 2025-09-04 16:23:10 -07:00
admin 24252d1243 gazelle 2025-09-04 16:05:41 -07:00
admin d6b9edde4c resolve tribute command migrated 2025-09-04 16:05:41 -07:00
adminandClaude 3ec3d59740 Migrate ResolveTributeCommand from protobuf to Scala domain models
- Converted from DeterministicSingleResultCommand to ProtolessSimpleAction base class
- Updated method signature from complex protobuf parameters to simple domain model:
  def make(demandingFactionId: FactionId, tributeAmount: TributeAmount, paid: Boolean)
- Simplified internal implementation by removing complex GameState and protobuf dependencies
- Updated CommandFactory integration to extract parameters from protobuf and convert to domain models using TributeAmountConverter
- Added TODO comments for full functionality restoration (hostile army status changes, faction relationships)
- Command functionality preserved: tribute payment/refusal with gold/food deltas and appropriate action result types
- Significant code reduction and improved maintainability through domain model usage

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-09-04 16:05:40 -07:00
1249 changed files with 50132 additions and 104990 deletions
+4 -11
View File
@@ -19,24 +19,17 @@ common --worker_sandboxing
common --local_test_jobs=64
common --jobs=64
common --cxxopt="--std=c++23"
common --cxxopt="--std=c++20"
common --cxxopt="-Wno-deprecated-non-prototype"
common --host_cxxopt="--std=c++23"
common --host_cxxopt="--std=c++20"
common --javacopt="-Xlint:-options"
# suppress warnings due to https://developer.apple.com/forums/thread/733317
# Use host_linkopt for macOS-specific flags to avoid passing them to Linux cross-compilation
common:macos --host_linkopt=-Wl,-no_warn_duplicate_libraries
# Fix Xcode version caching issue - avoids need for `bazel clean --expunge` after Xcode updates
common:macos --repo_env=DEVELOPER_DIR=/Applications/Xcode.app/Contents/Developer
common --linkopt=-Wl
common:macos --linkopt=-Wl,-no_warn_duplicate_libraries
common --java_language_version=17
common --java_runtime_version=remotejdk_17
common --tool_java_language_version=17
common --tool_java_runtime_version=remotejdk_17
# Workspace status for build stamping (git commit, timestamp)
common --workspace_status_command=tools/workspace_status.sh
common --stamp
-3
View File
@@ -1,3 +0,0 @@
CompileFlags:
Add:
- "-std=c++23"
-3
View File
@@ -6,7 +6,4 @@
*.bytes filter=lfs diff=lfs merge=lfs -text
*.psd filter=lfs diff=lfs merge=lfs -text
*.ttf filter=lfs diff=lfs merge=lfs -text
# Exclude pre-existing font files that were committed as blobs (not LFS pointers)
src/main/csharp/**/GUI[[:space:]]Pro[[:space:]]Kit*/**/*.ttf !filter !diff !merge
src/main/csharp/**/Modern[[:space:]]UI[[:space:]]Pack/**/*.ttf !filter !diff !merge
*.herodata filter=lfs diff=lfs merge=lfs -text
+1 -45
View File
@@ -34,54 +34,10 @@ jobs:
with:
lfs: false
- name: Run tests
id: test
continue-on-error: true
run: bazel test --build_event_json_file=test.json //src/test/... //src/main/go/...
- name: Collect failed test logs
if: always()
run: |
# Remove any existing failed_test_logs directory and create fresh
rm -rf failed_test_logs
mkdir -p failed_test_logs
# Extract failed test targets from test.json and copy their logs
# The test.json is in JSONL format - one JSON object per line
# We look for lines with testResult that have a status other than PASSED
if [ -f test.json ]; then
grep '"testResult"' test.json | \
grep '"status"' | \
grep -v '"status":"PASSED"' | \
grep -o '"label":"[^"]*"' | \
cut -d'"' -f4 | \
sort -u | \
while read target; do
# Convert target like //src/test/cpp/...:test_name to path
log_path=$(echo "$target" | sed 's|^//||' | sed 's|:|/|')
if [ -f "bazel-testlogs/$log_path/test.log" ]; then
log_name=$(echo "$log_path" | tr '/' '_')
if cp "bazel-testlogs/$log_path/test.log" "failed_test_logs/${log_name}.log"; then
echo "Collected log for failed test: $target"
else
echo "Error: Failed to copy log for $target"
fi
fi
done
fi
# List what we collected
echo "Collected logs:"
ls -lh failed_test_logs/ 2>/dev/null || echo "No logs collected"
- name: Archive test results
if: always()
if: success() || failure()
uses: actions/upload-artifact@v4
with:
name: test.json
path: test.json
- name: Archive failed test logs
if: always()
uses: actions/upload-artifact@v4
with:
name: failed-test-logs
path: failed_test_logs/
if-no-files-found: ignore
- name: Fail if tests failed
if: steps.test.outcome == 'failure'
run: exit 1
-66
View File
@@ -1,66 +0,0 @@
name: Build Linux Sysroot
on:
workflow_dispatch:
inputs:
version:
description: 'Sysroot version (e.g., v2, v3)'
required: true
default: 'v2'
type: string
permissions:
contents: read
jobs:
build-sysroot:
runs-on: ubuntu-latest
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Build sysroot
run: ./tools/sysroot/build_sysroot.sh
- name: Upload sysroot artifact
uses: actions/upload-artifact@v4
with:
name: ubuntu-noble-sysroot
path: tools/sysroot/output/
- name: Install AWS CLI
run: |
if ! command -v aws &> /dev/null; then
curl "https://awscli.amazonaws.com/awscli-exe-linux-x86_64.zip" -o "awscliv2.zip"
unzip -q awscliv2.zip
sudo ./aws/install
fi
- name: Upload to DigitalOcean Spaces
env:
AWS_ACCESS_KEY_ID: ${{ secrets.ACCESS_KEY_ID }}
AWS_SECRET_ACCESS_KEY: ${{ secrets.SECRET_KEY }}
run: |
# Upload sysroot tarball to DO Spaces (using eagle0-windows bucket, same as other workflows)
aws s3 cp tools/sysroot/output/ubuntu_noble_amd64_sysroot.tar.xz \
s3://eagle0-windows/sysroot/${{ inputs.version }}/ubuntu_noble_amd64_sysroot.tar.xz \
--endpoint-url https://sfo3.digitaloceanspaces.com \
--acl public-read
# Upload sha256 file
aws s3 cp tools/sysroot/output/ubuntu_noble_amd64_sysroot.sha256 \
s3://eagle0-windows/sysroot/${{ inputs.version }}/ubuntu_noble_amd64_sysroot.sha256 \
--endpoint-url https://sfo3.digitaloceanspaces.com \
--acl public-read
echo ""
echo "=== Sysroot uploaded ==="
echo "URL: https://eagle0-windows.sfo3.digitaloceanspaces.com/sysroot/${{ inputs.version }}/ubuntu_noble_amd64_sysroot.tar.xz"
echo "SHA256: $(cat tools/sysroot/output/ubuntu_noble_amd64_sysroot.sha256)"
echo ""
echo "Update MODULE.bazel with:"
echo "sysroot("
echo " name = \"linux_sysroot\","
echo " sha256 = \"$(cat tools/sysroot/output/ubuntu_noble_amd64_sysroot.sha256)\","
echo " urls = [\"https://eagle0-windows.sfo3.digitaloceanspaces.com/sysroot/${{ inputs.version }}/ubuntu_noble_amd64_sysroot.tar.xz\"],"
echo ")"
@@ -1,24 +0,0 @@
name: Deploy OAuth Relay Worker
on:
push:
branches:
- main
paths:
- 'cloudflare/oauth-relay/**'
workflow_dispatch: # Allow manual trigger
jobs:
deploy:
runs-on: ubuntu-latest
name: Deploy to Cloudflare Workers
steps:
- name: Checkout
uses: actions/checkout@v4
- name: Deploy Worker
uses: cloudflare/wrangler-action@v3
with:
apiToken: ${{ secrets.CLOUDFLARE_API_TOKEN }}
workingDirectory: cloudflare/oauth-relay
-545
View File
@@ -1,545 +0,0 @@
name: Docker Build and Push
on:
push:
branches: [ "main" ]
paths:
- 'src/main/cpp/**'
- 'src/main/go/**'
- 'src/main/scala/**'
- 'src/main/protobuf/**'
- 'src/main/resources/**'
- 'ci/BUILD.bazel'
- 'MODULE.bazel'
- 'docker-compose.prod.yml'
- 'nginx/**'
- '.github/workflows/docker_build.yml'
workflow_dispatch:
inputs:
push_images:
description: 'Push images to container registry'
required: true
default: 'false'
type: boolean
permissions:
contents: read
jobs:
build-eagle:
runs-on: self-hosted
outputs:
image_tag: ${{ steps.push-eagle.outputs.image_tag }}
steps:
- name: Checkout repository
uses: actions/checkout@v4
with:
lfs: false
- name: Build Eagle Docker image
id: build-eagle
run: |
set -ex
bazel build --platforms=//:linux_x86_64 //ci:eagle_server_image
# Save the resolved path before any other bazel command changes bazel-bin symlink
IMAGE_PATH=$(readlink -f bazel-bin/ci/eagle_server_image)
echo "Image path: $IMAGE_PATH"
echo "image_path=$IMAGE_PATH" >> $GITHUB_OUTPUT
- name: Login to DigitalOcean Container Registry
if: github.event_name == 'push' || (github.event_name == 'workflow_dispatch' && github.event.inputs.push_images == 'true')
env:
DO_TOKEN: ${{ secrets.DO_REGISTRY_TOKEN }}
run: |
mkdir -p ~/.docker
AUTH=$(echo -n "${DO_TOKEN}:${DO_TOKEN}" | base64)
echo "{\"auths\":{\"registry.digitalocean.com\":{\"auth\":\"${AUTH}\"}}}" > ~/.docker/config.json
# Also set for current directory in case Bazel uses different home
mkdir -p .docker
cp ~/.docker/config.json .docker/
- name: Push Eagle image to DO registry
id: push-eagle
if: github.event_name == 'push' || (github.event_name == 'workflow_dispatch' && github.event.inputs.push_images == 'true')
env:
DOCKER_CONFIG: ${{ github.workspace }}/.docker
run: |
set -ex
# Use cross-compiled image path from build step
EAGLE_IMAGE="${{ steps.build-eagle.outputs.image_path }}"
echo "Using Eagle image: $EAGLE_IMAGE"
if [ -z "$EAGLE_IMAGE" ] || [ ! -d "$EAGLE_IMAGE" ]; then
echo "ERROR: Eagle image not found at: $EAGLE_IMAGE"
exit 1
fi
# Debug: show OCI layout contents
echo "=== OCI Layout Contents ==="
cat "$EAGLE_IMAGE/index.json"
echo ""
echo "=== Blobs ==="
ls -la "$EAGLE_IMAGE/blobs/sha256/" | head -20
# Verify OCI layout consistency before pushing
echo "=== Verifying OCI layout consistency ==="
for digest in $(cat "$EAGLE_IMAGE/index.json" | grep -o '"sha256:[^"]*"' | tr -d '"'); do
blob_path="$EAGLE_IMAGE/blobs/${digest/://}"
if [ ! -f "$blob_path" ]; then
echo "ERROR: Blob not found: $blob_path"
exit 1
fi
actual_digest="sha256:$(shasum -a 256 "$blob_path" | cut -d' ' -f1)"
if [ "$digest" != "$actual_digest" ]; then
echo "ERROR: Digest mismatch for $blob_path"
echo " Index says: $digest"
echo " Actual: $actual_digest"
exit 1
fi
echo "✓ Verified: $digest"
done
# Build the push target to get crane in runfiles
bazel build //ci:eagle_server_push
# Use crane directly for push (avoids OCI->Docker digest mismatch)
CRANE="bazel-bin/ci/push_eagle_server_push.sh.runfiles/rules_oci~~oci~oci_crane_darwin_arm64/crane"
echo "Using crane: $CRANE"
# Push with SHA tag
GIT_SHA=$(git rev-parse --short=8 HEAD)
IMAGE_TAG="registry.digitalocean.com/eagle0/eagle-server:${GIT_SHA}"
echo "Pushing eagle image: $IMAGE_TAG"
$CRANE push "$EAGLE_IMAGE" "$IMAGE_TAG"
# Verify push by checking what's in the registry
echo "=== Verifying push ==="
$CRANE manifest "$IMAGE_TAG" | head -50
PUSHED_DIGEST=$($CRANE digest "$IMAGE_TAG")
echo "Registry reports digest: $PUSHED_DIGEST"
# Output the full image tag for deploy step
echo "image_tag=$IMAGE_TAG" >> $GITHUB_OUTPUT
# Also update :latest for convenience (but deploy won't use it)
echo "Copying to :latest tag"
$CRANE copy "$IMAGE_TAG" "registry.digitalocean.com/eagle0/eagle-server:latest"
build-shardok:
runs-on: self-hosted
outputs:
image_tag: ${{ steps.push-shardok.outputs.image_tag }}
steps:
- name: Checkout repository
uses: actions/checkout@v4
with:
lfs: false
- name: Build Shardok binary (cross-compile for Linux)
run: |
set -ex
# Step 1: Build JUST the binary with cross-compilation
# We need --extra_toolchains to force the Linux toolchain to be used
# because toolchains_llvm registers with dev_dependency=True
echo "=== Building shardok-server binary for linux-x86_64 ==="
bazel build \
--platforms=//:linux_x86_64 \
--extra_toolchains=@llvm_toolchain_linux//:all \
//src/main/cpp/net/eagle0/shardok:shardok-server
# Step 2: Check the binary directly from bazel-bin
# bazel-bin is a symlink that points to the correct output directory
LINUX_BIN="bazel-bin/src/main/cpp/net/eagle0/shardok/shardok-server"
echo "=== Checking binary at: $LINUX_BIN ==="
if [ ! -f "$LINUX_BIN" ]; then
echo "ERROR: Binary not found at $LINUX_BIN"
exit 1
fi
# Debug: show what bazel-bin points to
echo "bazel-bin symlink target: $(readlink bazel-bin || echo 'not a symlink')"
# Step 3: Verify it's ELF (Linux) not Mach-O (macOS)
echo "=== Verifying binary format ==="
MAGIC=$(head -c 4 "$LINUX_BIN" | xxd -p)
echo "Binary magic bytes: $MAGIC"
if [ "$MAGIC" = "7f454c46" ]; then
echo "SUCCESS: Binary is ELF format (Linux)"
elif [ "$MAGIC" = "cfaeedfe" ] || [ "$MAGIC" = "cffaedfe" ]; then
echo "ERROR: Binary is Mach-O format (macOS) - cross-compilation failed!"
echo ""
echo "Debug info:"
echo "- bazel-bin points to: $(readlink bazel-bin)"
file "$LINUX_BIN" || true
exit 1
else
echo "WARNING: Unknown binary format: $MAGIC"
file "$LINUX_BIN" || true
fi
- name: Build Shardok Docker image
id: build-shardok
run: |
set -ex
# Build the OCI image with cross-compilation flags
bazel build \
--platforms=//:linux_x86_64 \
--extra_toolchains=@llvm_toolchain_linux//:all \
//ci:shardok_server_image
# The image is output to bazel-bin which is a symlink.
# Resolve it now before any other bazel commands change where it points.
IMAGE_PATH=$(readlink -f bazel-bin/ci/shardok_server_image)
echo "Image path: $IMAGE_PATH"
echo "image_path=$IMAGE_PATH" >> $GITHUB_OUTPUT
# Verify the binary inside the tar layer is ELF
echo "=== Verifying binary in image tar ==="
BINARY_TAR="bazel-bin/ci/shardok_binary_layer.tar"
if [ -f "$BINARY_TAR" ]; then
echo "Checking binary in $BINARY_TAR"
# Extract just the first 4 bytes of the binary from the tar
MAGIC=$(tar -xOf "$BINARY_TAR" app/shardok-server 2>/dev/null | head -c 4 | xxd -p)
echo "Binary magic in tar: $MAGIC"
if [ "$MAGIC" = "7f454c46" ]; then
echo "SUCCESS: Binary in tar is ELF format (Linux)"
else
echo "ERROR: Binary in tar is NOT ELF format!"
echo "This means pkg_tar is packaging the wrong binary."
exit 1
fi
else
echo "WARNING: Could not find $BINARY_TAR"
fi
- name: Login to DigitalOcean Container Registry
if: github.event_name == 'push' || (github.event_name == 'workflow_dispatch' && github.event.inputs.push_images == 'true')
env:
DO_TOKEN: ${{ secrets.DO_REGISTRY_TOKEN }}
run: |
mkdir -p ~/.docker
AUTH=$(echo -n "${DO_TOKEN}:${DO_TOKEN}" | base64)
echo "{\"auths\":{\"registry.digitalocean.com\":{\"auth\":\"${AUTH}\"}}}" > ~/.docker/config.json
# Also set for current directory in case Bazel uses different home
mkdir -p .docker
cp ~/.docker/config.json .docker/
- name: Push Shardok image to DO registry
id: push-shardok
if: github.event_name == 'push' || (github.event_name == 'workflow_dispatch' && github.event.inputs.push_images == 'true')
env:
DOCKER_CONFIG: ${{ github.workspace }}/.docker
run: |
set -ex
# Use cross-compiled image path from build step
CROSS_IMAGE="${{ steps.build-shardok.outputs.image_path }}"
echo "Using cross-compiled image: $CROSS_IMAGE"
if [ -z "$CROSS_IMAGE" ] || [ ! -d "$CROSS_IMAGE" ]; then
echo "ERROR: Cross-compiled image not found at: $CROSS_IMAGE"
exit 1
fi
# Get crane from Eagle push target (which doesn't need cross-compilation)
# This gives us a macOS crane binary we can actually run.
# We can't build shardok_server_push with platform flags because it would
# download a Linux crane that can't run on macOS.
bazel build //ci:eagle_server_push
# Find the Darwin crane binary (may be a symlink)
RUNFILES="bazel-bin/ci/push_eagle_server_push.sh.runfiles"
CRANE=$(find "$RUNFILES" -path "*darwin*" -name crane 2>/dev/null | head -1)
if [ -z "$CRANE" ]; then
# Fallback to any crane
CRANE=$(find "$RUNFILES" -name crane 2>/dev/null | head -1)
fi
if [ -z "$CRANE" ] || [ ! -e "$CRANE" ]; then
echo "ERROR: crane not found. Listing runfiles:"
find "$RUNFILES" -name crane 2>/dev/null || true
exit 1
fi
echo "Using crane: $CRANE"
# Push the cross-compiled image with SHA tag
GIT_SHA=$(git rev-parse --short=8 HEAD)
IMAGE_TAG="registry.digitalocean.com/eagle0/shardok-server:${GIT_SHA}"
echo "Pushing shardok image: $IMAGE_TAG"
$CRANE push "$CROSS_IMAGE" "$IMAGE_TAG"
# Output the full image tag for deploy step
echo "image_tag=$IMAGE_TAG" >> $GITHUB_OUTPUT
# Also update :latest for convenience (but deploy won't use it)
echo "Copying to :latest tag"
$CRANE copy "$IMAGE_TAG" "registry.digitalocean.com/eagle0/shardok-server:latest"
build-admin:
runs-on: self-hosted
outputs:
image_tag: ${{ steps.push-admin.outputs.image_tag }}
steps:
- name: Checkout repository
uses: actions/checkout@v4
with:
lfs: false
- name: Build Admin Server Docker image
id: build-admin
run: |
set -ex
# Build admin server image (Go binary has explicit goos/goarch in BUILD.bazel)
bazel build //ci:admin_server_image
# Save the resolved path before any other bazel command changes bazel-bin symlink
IMAGE_PATH=$(readlink -f bazel-bin/ci/admin_server_image)
echo "Image path: $IMAGE_PATH"
echo "image_path=$IMAGE_PATH" >> $GITHUB_OUTPUT
- name: Login to DigitalOcean Container Registry
if: github.event_name == 'push' || (github.event_name == 'workflow_dispatch' && github.event.inputs.push_images == 'true')
env:
DO_TOKEN: ${{ secrets.DO_REGISTRY_TOKEN }}
run: |
mkdir -p ~/.docker
AUTH=$(echo -n "${DO_TOKEN}:${DO_TOKEN}" | base64)
echo "{\"auths\":{\"registry.digitalocean.com\":{\"auth\":\"${AUTH}\"}}}" > ~/.docker/config.json
mkdir -p .docker
cp ~/.docker/config.json .docker/
- name: Push Admin image to DO registry
id: push-admin
if: github.event_name == 'push' || (github.event_name == 'workflow_dispatch' && github.event.inputs.push_images == 'true')
env:
DOCKER_CONFIG: ${{ github.workspace }}/.docker
run: |
set -ex
ADMIN_IMAGE="${{ steps.build-admin.outputs.image_path }}"
echo "Using Admin image: $ADMIN_IMAGE"
if [ -z "$ADMIN_IMAGE" ] || [ ! -d "$ADMIN_IMAGE" ]; then
echo "ERROR: Admin image not found at: $ADMIN_IMAGE"
exit 1
fi
# Build the push target to get crane in runfiles
bazel build //ci:admin_server_push
# Use crane directly for push
CRANE="bazel-bin/ci/push_admin_server_push.sh.runfiles/rules_oci~~oci~oci_crane_darwin_arm64/crane"
echo "Using crane: $CRANE"
# Push with SHA tag
GIT_SHA=$(git rev-parse --short=8 HEAD)
IMAGE_TAG="registry.digitalocean.com/eagle0/admin-server:${GIT_SHA}"
echo "Pushing admin image: $IMAGE_TAG"
$CRANE push "$ADMIN_IMAGE" "$IMAGE_TAG"
# Output the full image tag for deploy step
echo "image_tag=$IMAGE_TAG" >> $GITHUB_OUTPUT
# Also update :latest for convenience
echo "Copying to :latest tag"
$CRANE copy "$IMAGE_TAG" "registry.digitalocean.com/eagle0/admin-server:latest"
build-jfr-sidecar:
runs-on: self-hosted
outputs:
image_tag: ${{ steps.push-jfr-sidecar.outputs.image_tag }}
steps:
- name: Checkout repository
uses: actions/checkout@v4
with:
lfs: false
- name: Build JFR Sidecar Docker image
id: build-jfr-sidecar
run: |
set -ex
# Build JFR sidecar image (Go binary has explicit goos/goarch in BUILD.bazel)
bazel build //ci:jfr_sidecar_image
# Save the resolved path before any other bazel command changes bazel-bin symlink
IMAGE_PATH=$(readlink -f bazel-bin/ci/jfr_sidecar_image)
echo "Image path: $IMAGE_PATH"
echo "image_path=$IMAGE_PATH" >> $GITHUB_OUTPUT
- name: Login to DigitalOcean Container Registry
if: github.event_name == 'push' || (github.event_name == 'workflow_dispatch' && github.event.inputs.push_images == 'true')
env:
DO_TOKEN: ${{ secrets.DO_REGISTRY_TOKEN }}
run: |
mkdir -p ~/.docker
AUTH=$(echo -n "${DO_TOKEN}:${DO_TOKEN}" | base64)
echo "{\"auths\":{\"registry.digitalocean.com\":{\"auth\":\"${AUTH}\"}}}" > ~/.docker/config.json
mkdir -p .docker
cp ~/.docker/config.json .docker/
- name: Push JFR Sidecar image to DO registry
id: push-jfr-sidecar
if: github.event_name == 'push' || (github.event_name == 'workflow_dispatch' && github.event.inputs.push_images == 'true')
env:
DOCKER_CONFIG: ${{ github.workspace }}/.docker
run: |
set -ex
JFR_IMAGE="${{ steps.build-jfr-sidecar.outputs.image_path }}"
echo "Using JFR Sidecar image: $JFR_IMAGE"
if [ -z "$JFR_IMAGE" ] || [ ! -d "$JFR_IMAGE" ]; then
echo "ERROR: JFR Sidecar image not found at: $JFR_IMAGE"
exit 1
fi
# Build the push target to get crane in runfiles
bazel build //ci:jfr_sidecar_push
# Use crane directly for push
CRANE="bazel-bin/ci/push_jfr_sidecar_push.sh.runfiles/rules_oci~~oci~oci_crane_darwin_arm64/crane"
echo "Using crane: $CRANE"
# Push with SHA tag
GIT_SHA=$(git rev-parse --short=8 HEAD)
IMAGE_TAG="registry.digitalocean.com/eagle0/jfr-sidecar:${GIT_SHA}"
echo "Pushing JFR sidecar image: $IMAGE_TAG"
$CRANE push "$JFR_IMAGE" "$IMAGE_TAG"
# Output the full image tag for deploy step
echo "image_tag=$IMAGE_TAG" >> $GITHUB_OUTPUT
# Also update :latest for convenience
echo "Copying to :latest tag"
$CRANE copy "$IMAGE_TAG" "registry.digitalocean.com/eagle0/jfr-sidecar:latest"
deploy:
runs-on: ubuntu-latest
needs: [build-eagle, build-shardok, build-admin, build-jfr-sidecar]
if: github.event_name == 'push' || (github.event_name == 'workflow_dispatch' && github.event.inputs.push_images == 'true')
environment: production
env:
EAGLE_IMAGE: ${{ needs.build-eagle.outputs.image_tag }}
SHARDOK_IMAGE: ${{ needs.build-shardok.outputs.image_tag }}
ADMIN_IMAGE: ${{ needs.build-admin.outputs.image_tag }}
JFR_SIDECAR_IMAGE: ${{ needs.build-jfr-sidecar.outputs.image_tag }}
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
GPT_MODEL_NAME: ${{ secrets.GPT_MODEL_NAME }}
EAGLE_ENABLE_S3: ${{ secrets.EAGLE_ENABLE_S3 }}
DO_SPACES_ACCESS_KEY: ${{ secrets.DO_SPACES_ACCESS_KEY }}
DO_SPACES_SECRET_KEY: ${{ secrets.DO_SPACES_SECRET_KEY }}
JWT_PRIVATE_KEY: ${{ secrets.JWT_PRIVATE_KEY }}
DISCORD_CLIENT_ID: ${{ secrets.DISCORD_CLIENT_ID }}
DISCORD_CLIENT_SECRET: ${{ secrets.DISCORD_CLIENT_SECRET }}
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Copy config files to droplet
uses: appleboy/scp-action@v0.1.7
with:
host: ${{ secrets.DO_DROPLET_IP }}
username: deploy
key: ${{ secrets.DO_SSH_KEY }}
source: "docker-compose.prod.yml,nginx/nginx.conf"
target: "/opt/eagle0"
- name: Deploy to production droplet
uses: appleboy/ssh-action@v1.0.3
with:
host: ${{ secrets.DO_DROPLET_IP }}
username: deploy
key: ${{ secrets.DO_SSH_KEY }}
script_stop: true
envs: EAGLE_IMAGE,SHARDOK_IMAGE,ADMIN_IMAGE,JFR_SIDECAR_IMAGE,OPENAI_API_KEY,GPT_MODEL_NAME,EAGLE_ENABLE_S3,DO_SPACES_ACCESS_KEY,DO_SPACES_SECRET_KEY,JWT_PRIVATE_KEY,DISCORD_CLIENT_ID,DISCORD_CLIENT_SECRET
script: |
set -x
cd /opt/eagle0
# Write env vars to .env file for docker-compose
rm -f .env 2>/dev/null || true
cat > .env << EOF
EAGLE_IMAGE=${EAGLE_IMAGE}
SHARDOK_IMAGE=${SHARDOK_IMAGE}
ADMIN_IMAGE=${ADMIN_IMAGE}
JFR_SIDECAR_IMAGE=${JFR_SIDECAR_IMAGE}
OPENAI_API_KEY=${OPENAI_API_KEY:-}
GPT_MODEL_NAME=${GPT_MODEL_NAME:-gpt-4o}
EAGLE_ENABLE_S3=${EAGLE_ENABLE_S3:-false}
DO_SPACES_ACCESS_KEY=${DO_SPACES_ACCESS_KEY:-}
DO_SPACES_SECRET_KEY=${DO_SPACES_SECRET_KEY:-}
JWT_PRIVATE_KEY=${JWT_PRIVATE_KEY:-}
DISCORD_CLIENT_ID=${DISCORD_CLIENT_ID:-}
DISCORD_CLIENT_SECRET=${DISCORD_CLIENT_SECRET:-}
EOF
chmod 600 .env
# Login to registry
echo "${{ secrets.DO_REGISTRY_TOKEN }}" | docker login registry.digitalocean.com -u "${{ secrets.DO_REGISTRY_TOKEN }}" --password-stdin
# Use exact image tags passed from build jobs (no :latest fallback)
echo "Using images: $EAGLE_IMAGE, $SHARDOK_IMAGE, $ADMIN_IMAGE, $JFR_SIDECAR_IMAGE"
# Use crane to pull images (handles OCI format correctly) then load into Docker
# This avoids digest mismatch from DO registry's OCI->Docker format conversion
echo "Installing crane..."
curl -sL https://github.com/google/go-containerregistry/releases/download/v0.20.2/go-containerregistry_Linux_x86_64.tar.gz | tar xzf - crane
chmod +x crane
# crane uses Docker config for auth
echo "Pulling Eagle image with crane..."
./crane pull "${EAGLE_IMAGE}" eagle.tar || { echo "ERROR: Failed to pull eagle image"; exit 1; }
echo "Loading Eagle image into Docker..."
docker load -i eagle.tar
rm eagle.tar
echo "Pulling Shardok image with crane..."
./crane pull "${SHARDOK_IMAGE}" shardok.tar || { echo "ERROR: Failed to pull shardok image"; exit 1; }
echo "Loading Shardok image into Docker..."
docker load -i shardok.tar
rm shardok.tar
echo "Pulling Admin image with crane..."
./crane pull "${ADMIN_IMAGE}" admin.tar || { echo "ERROR: Failed to pull admin image"; exit 1; }
echo "Loading Admin image into Docker..."
docker load -i admin.tar
rm admin.tar
echo "Pulling JFR Sidecar image with crane..."
./crane pull "${JFR_SIDECAR_IMAGE}" jfr-sidecar.tar || { echo "ERROR: Failed to pull jfr-sidecar image"; exit 1; }
echo "Loading JFR Sidecar image into Docker..."
docker load -i jfr-sidecar.tar
rm jfr-sidecar.tar
rm ./crane
# Also pull other compose images
docker pull nginx:alpine || true
docker pull certbot/certbot || true
echo "All images pulled successfully"
# Force recreate containers to ensure new image is used
docker compose -f docker-compose.prod.yml up -d --force-recreate --remove-orphans
# Restart nginx to pick up new container IPs
# (nginx caches DNS at startup, so it needs restart after eagle/shardok)
docker compose -f docker-compose.prod.yml restart nginx
# Wait for health checks
sleep 10
docker compose -f docker-compose.prod.yml ps
# Verify containers are using correct images
echo "=== Verifying container image tags ==="
docker compose -f docker-compose.prod.yml images
# Cleanup old images
docker image prune -f
+2 -2
View File
@@ -52,14 +52,14 @@ jobs:
- name: Persist Library/
run: ./ci/github_actions/persist_library.sh
- name: Deploy Windows unity
if: success() && github.ref == 'refs/heads/main' && github.event_name == 'push'
if: success() #&& github.ref == 'refs/heads/main' && github.event_name == 'push'
env:
ACCESS_KEY_ID: ${{ secrets.ACCESS_KEY_ID }}
SECRET_KEY: ${{ secrets.SECRET_KEY }}
run: bazel run //src/main/go/net/eagle0/build/unity3d_windows_build_handler:unity3d_windows_build_handler -- "/tmp/eagle0/eagle0WIN" "/tmp/unity_manifest.txt"
- name: Update unified manifest
if: success() && github.ref == 'refs/heads/main' && github.event_name == 'push'
if: success() #&& github.ref == 'refs/heads/main' && github.event_name == 'push'
env:
ACCESS_KEY_ID: ${{ secrets.ACCESS_KEY_ID }}
SECRET_KEY: ${{ secrets.SECRET_KEY }}
+2 -2
View File
@@ -20,7 +20,7 @@ project/boot/
project/plugins/project/
project/target/
bazel-bin
bazel-eagle0*
bazel-eagle0
bazel-out
bazel-testlogs
.ijwb
@@ -32,9 +32,9 @@ buildWin.sh
__pycache__/
scripts/refresh_name_layers/vendor/
scripts/refresh_name_layers/refresh_name_layers.zip
.pre-commit-config.yaml
.bazelbsp
.bsp
.metals
api_keys.txt
src/main/csharp/net/eagle0/clients/unity/eagle0/ProjectSettings/Packages/com.unity.dedicated-server/
-44
View File
@@ -1,44 +0,0 @@
# See https://pre-commit.com for more information
# See https://pre-commit.com/hooks.html for more hooks
repos:
- repo: https://github.com/pre-commit/pre-commit-hooks
rev: v4.3.0
hooks:
- id: check-added-large-files
- id: no-commit-to-branch
args: [--branch, main]
- repo: https://github.com/pocc/pre-commit-hooks
rev: v1.3.5
hooks:
- id: clang-format
args: [-i, --no-diff]
types_or: ["c++", "c#"]
exclude: ^src/main/csharp/net/eagle0/clients/unity/eagle0/Assets/Plugins
- repo: https://github.com/yoheimuta/protolint
rev: v0.42.2
hooks:
- id: protolint
args: [-fix]
exclude: ^src/main/protobuf/scalapb/
- repo: local
hooks:
- id: scalafmt
name: scalafmt
language: system
entry: scalafmt -i -f
types_or: ["scala"]
- repo: local
hooks:
- id: gazelle
name: gazelle
language: system
entry: ./scripts/pre-commit-gazelle.sh
files: '(\.go|\.proto|BUILD\.bazel|BUILD|WORKSPACE|WORKSPACE\.bazel|\.bzl)$'
pass_filenames: false
- repo: local
hooks:
- id: update-action-result-types
name: update-action-result-types
language: system
entry: ./scripts/updateActionResultTypes.sh
files: 'src/main/protobuf/net/eagle0/eagle/common/action_result_type.proto'
-41
View File
@@ -1,47 +1,6 @@
version = "3.9.9"
runner.dialect = scala3
rewrite.scala3.convertToNewSyntax = true
# Keep braces, don't use significant indentation
# rewrite.scala3.removeOptionalBraces = yes
rewrite.scala3.insertEndMarkerMinLines = 15
rewrite.scala3.removeEndMarkerMaxLines = 14
# Strip margin settings
assumeStandardLibraryStripMargin = false
align.stripMargin = true
# Code Style & Formatting
align.preset = more
align.multiline = true
align.arrowEnumeratorGenerator = true
spaces.inImportCurlyBraces = false
spaces.beforeContextBoundColon = Never
maxColumn = 120
docstrings.style = Asterisk
docstrings.wrap = yes
# Method chaining
newlines.beforeCurlyLambdaParams = multilineWithCaseOnly
optIn.breakChainOnFirstMethodDot = true
includeCurlyBraceInSelectChains = false
# Advanced Scala 3 Features
rewrite.scala3.countEndMarkerLines = all
rewrite.redundantBraces.stringInterpolation = true
rewrite.redundantBraces.parensForOneLineApply = true
# Project-Specific Considerations
optIn.annotationNewlines = true
runner.optimizer.forceConfigStyleMinArgCount = 3
# Import sorting configuration
rewrite.rules = [SortImports, RedundantBraces, RedundantParens]
rewrite.imports.sort = scalastyle
rewrite.imports.groups = [
["java\\..*"],
["javax\\..*"],
["scala\\..*"],
[".*"]
]
rewrite.imports.contiguousGroups = only
rewrite.trailingCommas.style = never
-9
View File
@@ -3,15 +3,6 @@ load("@io_bazel_rules_go//go:def.bzl", "nogo")
package(default_visibility = ["//visibility:public"])
# Platform for cross-compiling to Linux x86_64
platform(
name = "linux_x86_64",
constraint_values = [
"@platforms//os:linux",
"@platforms//cpu:x86_64",
],
)
gazelle(name = "gazelle")
# gazelle:proto file
+7 -145
View File
@@ -4,32 +4,26 @@ This file provides guidance to Claude Code (claude.ai/code) when working with co
## Project Overview
Eagle0 is a multi-language gaming system combining strategic turn-based gameplay (Eagle) with tactical hex-based
combat (Shardok). The system integrates LLM-based narrative generation and supports both human and AI players.
Eagle0 is a multi-language gaming system combining strategic turn-based gameplay (Eagle) with tactical hex-based combat (Shardok). The system integrates LLM-based narrative generation and supports both human and AI players.
## Architecture
**Three-Tier Game System:**
- **Unity Client (C#)**: Real-time strategy game client with integrated tactical combat UI
- **Eagle (Scala)**: Strategic layer managing turn-based gameplay, diplomacy, hero progression, and province control
- **Shardok (C++)**: Tactical layer handling real-time hex-based combat simulation with performance-critical battle
resolution
- **Shardok (C++)**: Tactical layer handling real-time hex-based combat simulation with performance-critical battle resolution
**Communication Flow:**
```
Unity Client ↔ Eagle (gRPC streaming) ↔ Shardok (internal gRPC)
```
**Key Entry Points:**
- `/src/main/csharp/net/eagle0/clients/unity/eagle0/` - Unity C# game client
- `/src/main/scala/net/eagle0/eagle/Main.scala` - Eagle strategic game server
- `/src/main/cpp/net/eagle0/shardok/shardok_server_main.cpp` - Shardok tactical server
**Protocol Buffer Architecture:**
- Extensive use of protobuf for type-safe communication
- Separate packages: `api/` (client-facing), `internal/` (server state), `views/` (client projections)
- Event sourcing pattern with immutable action history
@@ -37,17 +31,13 @@ Unity Client ↔ Eagle (gRPC streaming) ↔ Shardok (internal gRPC)
## Essential Commands
### Building
```bash
# Build Eagle server (Scala strategic layer)
bazel build //src/main/scala/net/eagle0/eagle:eagle_server_deploy.jar
# Build Shardok server (C++ tactical layer)
# Build Shardok server (C++ tactical layer)
bazel build -c opt //src/main/cpp/net/eagle0/shardok:shardok-server
# Shardok server includes both AI algorithms
bazel build //src/main/cpp/net/eagle0/shardok:shardok-server
# Build Unity/C# client
./scripts/build_protos.sh # Protocol buffer generation for Unity
./scripts/build_plugins.sh # Native plugins for all platforms
@@ -56,7 +46,6 @@ bazel build //src/main/cpp/net/eagle0/shardok:shardok-server
```
### Running Services
```bash
# Eagle server (port 40032)
bazel run //src/main/scala/net/eagle0/eagle:eagle_server -- --eagle-grpc-port 40032
@@ -68,7 +57,6 @@ bazel run //src/main/cpp/net/eagle0/shardok:shardok-server --compilation_mode=op
```
### Testing
```bash
# Run all tests
bazel test //src/test/... //src/main/go/...
@@ -79,24 +67,12 @@ bazel test //src/test/cpp/... # C++ Shardok tests
```
### Code Generation
```bash
bazel run gazelle # Update Go build files
./scripts/updateActionResultTypes.sh # Update protocol buffer mappings
```
### Pre-Commit Checklist
**MANDATORY: Before running `git commit`, verify:**
1. **If you modified any BUILD.bazel file:** Run `bazel run gazelle` and stage any changes it makes
2. **If you modified C++ or C# files:** Run `clang-format -i` on the modified files
3. **If you modified Scala files:** scalafmt will run automatically via pre-commit hook
The pre-commit hook runs gazelle but only checks if it succeeds - it does NOT verify the BUILD files are in canonical format. The `gazelle_test` will fail if deps are not alphabetically sorted. **Always run gazelle manually after BUILD file changes.**
### Code Formatting
```bash
# ALWAYS run clang-format after making any C++ or C# code changes
clang-format -i <modified_files>
@@ -109,94 +85,35 @@ find . -name "*.cs" | xargs clang-format -i
```
### Static Analysis
```bash
# Run clang-tidy static analysis on C++ files
# Note: This may show some header include errors but will still analyze the main file
bazel run @llvm_toolchain//:clang-tidy -- --checks='readability-*,bugprone-*,clang-analyzer-*' <file_path> -- -I/Users/dancrosby/CodingProjects/github/eagle0 -std=c++23
bazel run @llvm_toolchain//:clang-tidy -- --checks='readability-*,bugprone-*,clang-analyzer-*' <file_path> -- -I/Users/dancrosby/CodingProjects/github/eagle0 -std=c++20
# Example for AI files:
bazel run @llvm_toolchain//:clang-tidy -- --checks='readability-*,bugprone-*,clang-analyzer-*' /Users/dancrosby/CodingProjects/github/eagle0/src/main/cpp/net/eagle0/shardok/ai/AIUnitScoreCalculator.cpp -- -I/Users/dancrosby/CodingProjects/github/eagle0 -std=c++23
bazel run @llvm_toolchain//:clang-tidy -- --checks='readability-*,bugprone-*,clang-analyzer-*' /Users/dancrosby/CodingProjects/github/eagle0/src/main/cpp/net/eagle0/shardok/ai/AIUnitScoreCalculator.cpp -- -I/Users/dancrosby/CodingProjects/github/eagle0 -std=c++20
```
## AI Algorithm Selection
Eagle0 supports two AI algorithms for tactical combat decision-making:
### Iterative Deepening AI (Default)
The original minimax-based AI with sophisticated randomness handling:
- **Advantages**: Proven, sophisticated randomness evaluation, comprehensive lookahead
- **Use cases**: Production builds, scenarios requiring precise evaluation
- **Performance**: Single-threaded, thorough evaluation
### Monte Carlo Tree Search AI (MCTS)
Modern MCTS-based AI with multithreading support:
- **Advantages**: Multithreaded, better performance on modern CPUs, anytime algorithm
- **Use cases**: Performance testing, scenarios requiring fast decisions
- **Performance**: Multithreaded, adaptive depth based on time budget
### Switching Between Algorithms
The algorithm is selected at **runtime** via the ShardokAIClient constructor:
```cpp
// Using Iterative Deepening AI (default)
ShardokAIClient client(playerId, isDefender, hexMap, settings);
// OR explicitly:
ShardokAIClient client(playerId, isDefender, hexMap, settings, AIAlgorithmType::ITERATIVE_DEEPENING);
// Using MCTS AI
ShardokAIClient client(playerId, isDefender, hexMap, settings, AIAlgorithmType::MCTS);
```
```bash
# Build the server (includes both AI algorithms)
bazel build //src/main/cpp/net/eagle0/shardok:shardok-server
# Test both algorithms
bazel test //src/test/cpp/net/eagle0/shardok/ai:ai_iterative_deepening_test
bazel test //src/test/cpp/net/eagle0/shardok/ai:ai_mcts_test # If available
# Performance tests
./scripts/ai_perf_test.sh # Uses whatever algorithm the server is configured to use
```
Both implementations are compatible with all existing interfaces and produce the same `SearchResult` structure.
**Note**: Both implementations are documented in `src/main/cpp/net/eagle0/shardok/ai/AI_SCORING_SYSTEM.md`, including
recommendations for improving MCTS randomness handling.
The AI algorithm selection is made at runtime when creating ShardokAIClient instances, allowing different AI strategies
to be used for different players or game situations within the same server process.
## Language-Specific Patterns
**Scala (Strategic Layer):**
- Use `EngineImpl.scala` for core game logic modifications
- Follow event sourcing pattern - all changes through immutable actions
- gRPC streaming for real-time client updates via `EagleServiceImpl.scala`
- LLM integration in `/common/llm_integration/` for narrative generation
**C++ (Tactical Layer):**
- Performance-critical combat in `ShardokEngine.hpp/.cpp`
- FlatBuffers for efficient serialization in `/flatbuffer/` directory
- AI systems in `/ai/` subdirectory with pluggable strategy selectors
- Extensive unit testing with Google Test framework
**Protocol Buffers:**
- Three-layer structure: `api/` (client), `internal/` (server), `views/` (projections)
- Use `shardok_internal_interface.proto` for Eagle-Shardok communication
- Maintain backward compatibility when modifying existing messages
**C# (Unity Client):**
- Located in `/src/main/csharp/net/eagle0/clients/unity/eagle0/`
- Uses Unity 6 (6000.0.32f1) with comprehensive protobuf integration (100+ .proto files)
- Key components: `EagleConnection.cs` (gRPC client), `EagleGameController.cs` (main game logic)
@@ -205,7 +122,6 @@ to be used for different players or game situations within the same server proce
- Seamless transition between strategic gameplay and hex-based tactical combat
**Go (Build Tools):**
- Build automation and code generation utilities
- AWS S3 integration for deployment artifacts
@@ -216,31 +132,6 @@ to be used for different players or game situations within the same server proce
- Map validation tests ensure game content integrity
- Use `GameSettings_test_utils.cpp` and `ShardokEngineBasedTestData.cpp` for C++ test helpers
### Scala Testing Patterns
**Use `inside()` instead of `asInstanceOf` for type matching in tests:**
Never use `asInstanceOf` in tests. Instead, use ScalaTest's `inside()` pattern for safe type matching:
```scala
// BAD - don't do this
val changedHero = result.changedHeroes.head.asInstanceOf[ChangedHeroC]
changedHero.heroId shouldBe 19
// GOOD - use inside() pattern
import org.scalatest.Inside.inside
inside(result.changedHeroes.head) { case changedHero: ChangedHeroC =>
changedHero.heroId shouldBe 19
changedHero.vigorChange shouldBe StatDelta(17.2)
}
```
The `inside()` pattern:
- Provides better error messages when the type doesn't match
- Is idiomatic ScalaTest
- Works with pattern matching for more complex assertions
## Performance Testing
When making performance-related changes to the AI or engine:
@@ -272,38 +163,10 @@ done
```
**Important notes:**
- Run tests multiple times (3-5) to account for performance variance
- Focus on commands evaluated at each depth rather than total commands
- Commands at different depths aren't directly comparable (depth 3 is more valuable than depth 2)
- **Always test performance changes** - what seems like an optimization may sometimes have unexpected overhead or
behavior changes.
## Troubleshooting Scala Build Errors
### MissingType Errors
When you see errors like:
```
dotty.tools.dotc.core.MissingType: Cannot resolve reference to type net.eagle0.eagle.internal.game_state.type.GameState
```
**This is NOT a Scala compiler crash.** This is a missing dependency in BUILD.bazel.
**How to fix:**
1. Identify the missing type from the error message (e.g., `game_state.GameState`)
2. Find the Bazel target that provides this type (e.g., `//src/main/protobuf/net/eagle0/eagle/internal:game_state_scala_proto`)
3. Add it to the `deps` of the failing target
4. If the type appears in a public method signature, also add it to `exports` so downstream targets can see it
**Common pattern:** When adding a method to a class that takes or returns a proto type, the proto dependency often needs to be added to both `deps` AND `exports`.
### Bazel Clean
**NEVER run `bazel clean` without asking first.** It rarely fixes actual issues and wastes significant rebuild time. The issues that seem like they need `bazel clean` are usually:
- Missing imports in Scala code
- Missing dependencies in BUILD.bazel
- Missing exports for types used in public signatures
- **Always test performance changes** - what seems like an optimization may sometimes have unexpected overhead or behavior changes.
## Game Content
@@ -316,5 +179,4 @@ dotty.tools.dotc.core.MissingType: Cannot resolve reference to type net.eagle0.e
- Bazel handles multi-language builds and dependencies
- CI/CD via GitHub Actions with platform-specific build scripts in `/ci/github_actions/`
- Docker containerization available via `ci/eagle_run.Dockerfile`
- Always run "bazel run //:gazelle" after editing any BUILD.bazel files
- *ALWAYS ALWAYS* run "bazel run gazelle" after any change that modifies a BUILD.bazel file
- Always run "bazel run //:gazelle" after editing any BUILD.bazel files
-128
View File
@@ -1,128 +0,0 @@
# Deproto Migration Plan
This document tracks the migration from protobuf types to native Scala models inside the Eagle game engine.
## Architectural Decisions
1. **Keep proto for persistence**: Yes - protobuf is used for persisting game state
2. **Keep proto for Shardok communication**: Yes - protobuf is used for Eagle-Shardok gRPC communication
3. **Use Scala views inside the library**: Yes - use native Scala types like `ProvinceView`, `FactionView`, `HeroView`, etc. within the library code
## Recent Completed Work
### GameState Round-Trip Elimination (PRs #4913, #4914, #4915)
Eliminated wasteful Scala→proto→Scala conversions in the hot path:
1. **LLM Pipeline** (#4913): `LlmRequestWithGameState` now uses Scala `GameState` instead of proto. All ~38 prompt generators updated to use Scala model types (`FactionT`, `HeroT`, `ProvinceT`).
2. **ActionWithResultingState Caching** (#4914): Added `precomputedScalaState: Option[GameState]` to cache Scala state when available, avoiding `fromProto()` conversion in `stateAfter()`.
3. **PostResults Simplification** (#4915): Changed `PostResults.gameState` from proto to `Option[GameState]` (Scala), eliminating `toProto()` calls when creating PostResults.
## Migration Pattern
The codebase follows a **Legacy* pattern** for separating proto-dependent and protoless code:
- **Protoless utilities**: `FactionUtils`, `HeroUtils`, `ProvinceUtils`, `ProvinceDistances`, etc.
- **Proto-dependent utilities**: `LegacyFactionUtils`, `LegacyHeroUtils`, `LegacyProvinceUtils`, `LegacyProvinceDistances`, etc.
When migrating a file:
1. Create a `Legacy*` version containing the proto-dependent methods
2. Keep the original file name for protoless methods
3. Update callers to use the appropriate version based on their context
## Migration Status
### Fully Protoless (no proto imports)
**Utilities:**
- [x] `FactionUtils` - has protoless `ownedNeighbors` method
- [x] `ProvinceDistances` - split into protoless + `LegacyProvinceDistances`
- [x] `SwornBrotherChooser` - fully protoless (removed `bestChoiceProto`)
**Command Selectors (all use native GameState):**
- [x] `AllianceOfferCommandSelector`
- [x] `AlmsCommandSelector`
- [x] `AttackCommandChooser`
- [x] `ExpandCommandSelector`
- [x] `HeroGiftCommandSelector`
- [x] `ImproveCommandSelector`
- [x] `MarchTowardProvinceCommandChooser` - in AI folder, uses native GameState (callers convert)
- [x] `OrganizeCommandSelector`
- [x] `RansomOfferHelpers`
- [x] `SeekMoreLeadersCommandChooser` - in AI folder, uses native GameState
- [x] `TruceOfferCommandSelector`
- [x] `TrustForDiplomacy`
**Quest Command Selectors (all protoless):**
- [x] `AllianceQuestCommandChooser`
- [x] `AlmsAcrossRealmQuestCommandChooser`
- [x] `AlmsToProvinceQuestCommandChooser`
- [x] `DismissSpecificVassalCommandChooser`
- [x] `GiveToHeroesAcrossRealmQuestCommandChooser`
- [x] `GiveToHeroesInProvinceQuestCommandChooser`
- [x] `ImproveQuestCommandChooser`
- [x] `QuestCommandChooser`
- [x] `TruceCountQuestCommandChooser`
- [x] `TruceWithFactionQuestCommandChooser`
### Fully Protoless
- [x] `AIClientUtils` - has protoless overloads (`takenHeroIdsForMarchTowardFocus`, `mostPowerfulHeroes`)
- [x] `ProvinceGoldSurplusCalculator` - fully protoless (callers use converters)
- [x] `HeroSelector` - fully protoless (removed dead `minimallyFatiguedHeroesProto`)
### Blocked (still uses proto GameState)
- [ ] `CommandChoiceHelpers` - main target, uses proto GameState extensively
- Depends on many Legacy* utils
- Central hub called by many command selectors
- [ ] `AttackDecisionCommandChooser` - uses proto GameState, converts internally
- [ ] `CommandChooser` - trait uses proto GameState in signature
- [ ] `FulfillQuestsCommandSelector` - takes proto, converts to native immediately
- Called by `MidGameAIClient` which uses proto GameState
## Next Steps
### Phase 1: CommandChoiceHelpers Migration
The main blocker is `CommandChoiceHelpers.scala` which uses proto `GameState` extensively. Strategy:
1. **Add Scala overloads** to `CommandChoiceHelpers` methods that currently take proto GameState
2. **Update internal helpers** to use Scala types where possible
3. **Migrate callers incrementally** - command selectors that are already protoless can switch to Scala overloads
### Phase 2: CommandChooser Trait
Once CommandChoiceHelpers is protoless:
1. Add Scala `GameState` overload to `CommandChooser.choose()` method
2. Update implementations (`AttackDecisionCommandChooser`, etc.) to use Scala internally
3. Eventually deprecate proto overloads
### Phase 3: MidGameAIClient
The top-level AI client still uses proto GameState. Once lower layers are protoless:
1. Convert `MidGameAIClient` to use Scala GameState internally
2. Only convert at the boundary when receiving from/sending to gRPC
## Key Files
### Protoless Model Types
- `src/main/scala/net/eagle0/eagle/model/state/game_state/GameState.scala` - native Scala GameState
- `src/main/scala/net/eagle0/eagle/model/state/province/ProvinceView.scala` - province view type
- `src/main/scala/net/eagle0/eagle/model/state/faction/FactionView.scala` - faction view type
- `src/main/scala/net/eagle0/eagle/model/state/hero/HeroView.scala` - hero view type
### Proto Converters
- `src/main/scala/net/eagle0/eagle/model/proto_converters/game_state/` - converts between proto and Scala types
## Notes
- The AI client code (`src/main/scala/net/eagle0/eagle/ai/`) currently uses proto types extensively
- `PerformUnaffiliatedHeroesAction` already uses protoless `GameState`
- Migration should proceed incrementally: utilities first, then higher-level selectors/choosers
+17 -87
View File
@@ -26,75 +26,56 @@ scala_config = use_extension(
"@rules_scala//scala/extensions:config.bzl",
"scala_config",
)
scala_config.settings(scala_version = SCALA_VERSION)
scala_deps = use_extension(
"@rules_scala//scala/extensions:deps.bzl",
"scala_deps",
)
scala_deps.scala()
scala_deps.scalatest()
scala_deps.scala_proto()
#
# Language Support - C++
#
bazel_dep(name = "toolchains_llvm", version = "1.6.0")
bazel_dep(name = "toolchains_llvm", version = "1.4.0")
llvm = use_extension("@toolchains_llvm//toolchain/extensions:llvm.bzl", "llvm")
# Native toolchain (macOS -> macOS, Linux -> Linux)
llvm.toolchain(
name = "llvm_toolchain",
llvm_version = "20.1.2",
)
# Cross-compilation toolchain (macOS -> Linux x86_64)
# Uses the same LLVM distribution but with a Linux sysroot
llvm.toolchain(
name = "llvm_toolchain_linux",
llvm_version = "20.1.2",
)
# Linux sysroot for cross-compilation (Chromium's Debian sysroot)
llvm.sysroot(
name = "llvm_toolchain_linux",
label = "@linux_sysroot//sysroot",
targets = ["linux-x86_64"],
)
use_repo(llvm, "llvm_toolchain", "llvm_toolchain_linux")
# Download the Linux sysroot (Ubuntu 24.04 Noble for C++23 support)
# Built by: .github/workflows/build_sysroot.yml
# To rebuild: Run the "Build Linux Sysroot" workflow with a new version, then update sha256 and URL
sysroot = use_repo_rule("@toolchains_llvm//toolchain:sysroot.bzl", "sysroot")
sysroot(
name = "linux_sysroot",
sha256 = "a06475004fe8003ae7ccb4fe1d5511feb9b27cce4a8826eb1dfd686ed83f3dba",
urls = ["https://eagle0-windows.sfo3.digitaloceanspaces.com/sysroot/v3/ubuntu_noble_amd64_sysroot.tar.xz"],
)
use_repo(llvm, "llvm_toolchain")
#
# Language Support - Go
#
bazel_dep(name = "rules_go", version = "0.56.1", repo_name = "io_bazel_rules_go")
bazel_dep(name = "gazelle", version = "0.45.0", repo_name = "bazel_gazelle")
bazel_dep(name = "rules_go", repo_name = "io_bazel_rules_go", version = "0.56.1")
bazel_dep(name = "gazelle", repo_name = "bazel_gazelle", version = "0.45.0")
go_sdk = use_extension("@io_bazel_rules_go//go:extensions.bzl", "go_sdk")
go_sdk.download(version = "1.23.3")
go_deps = use_extension("@bazel_gazelle//:extensions.bzl", "go_deps")
go_deps.from_file(go_mod = "//:go.mod")
use_repo(
go_deps,
"com_github_aws_aws_sdk_go_v2",
"com_github_aws_aws_sdk_go_v2_config",
"com_github_aws_aws_sdk_go_v2_credentials",
"com_github_aws_aws_sdk_go_v2_service_s3",
"org_golang_google_grpc",
"org_golang_google_protobuf",
)
@@ -102,15 +83,15 @@ use_repo(
# Platform Support - Apple/iOS
#
bazel_dep(name = "apple_support", version = "1.21.1", repo_name = "build_bazel_apple_support")
bazel_dep(name = "rules_apple", version = "3.16.1", repo_name = "build_bazel_rules_apple")
bazel_dep(name = "rules_swift", version = "2.3.1", repo_name = "build_bazel_rules_swift")
bazel_dep(name = "apple_support", repo_name = "build_bazel_apple_support", version = "1.21.1")
bazel_dep(name = "rules_apple", repo_name = "build_bazel_rules_apple", version = "3.16.1")
bazel_dep(name = "rules_swift", repo_name = "build_bazel_rules_swift", version = "2.3.1")
#
# Protocol Buffers & RPC
#
bazel_dep(name = "protobuf", version = "29.2", repo_name = "com_google_protobuf")
bazel_dep(name = "protobuf", repo_name = "com_google_protobuf", version = "29.2")
bazel_dep(name = "grpc", version = "1.71.0")
bazel_dep(name = "grpc-java", version = "1.71.0")
bazel_dep(name = "flatbuffers", version = "25.2.10")
@@ -121,40 +102,6 @@ bazel_dep(name = "flatbuffers", version = "25.2.10")
bazel_dep(name = "googletest", version = "1.17.0")
#
# Container Images (OCI)
#
bazel_dep(name = "rules_oci", version = "2.2.6")
bazel_dep(name = "aspect_bazel_lib", version = "2.16.0")
oci = use_extension("@rules_oci//oci:extensions.bzl", "oci")
# Base image for Eagle (Java 17 JDK - includes jcmd for JFR dumps)
oci.pull(
name = "eclipse_temurin_17",
image = "docker.io/library/eclipse-temurin",
platforms = ["linux/amd64"],
tag = "17-jdk",
)
# Base image for Shardok (Ubuntu 24.04 for C++ runtime)
oci.pull(
name = "ubuntu_24_04",
image = "docker.io/library/ubuntu",
platforms = ["linux/amd64"],
tag = "24.04",
)
# Base image for Admin Server (Alpine for lightweight Go binary)
oci.pull(
name = "alpine_linux",
image = "docker.io/library/alpine",
platforms = ["linux/amd64"],
tag = "3.21",
)
use_repo(oci, "alpine_linux", "alpine_linux_linux_amd64", "eclipse_temurin_17", "eclipse_temurin_17_linux_amd64", "ubuntu_24_04", "ubuntu_24_04_linux_amd64")
#
# Java/Scala Dependencies
#
@@ -162,6 +109,7 @@ use_repo(oci, "alpine_linux", "alpine_linux_linux_amd64", "eclipse_temurin_17",
bazel_dep(name = "rules_jvm_external", version = "6.3")
maven = use_extension("@rules_jvm_external//:extensions.bzl", "maven")
maven.install(
artifacts = [
# Netty
@@ -212,13 +160,6 @@ maven.install(
# Other
"org.reactivestreams:reactive-streams:1.0.4",
"javax.xml.bind:jaxb-api:2.3.1",
# OkHttp (for SSE with read timeout support, OAuth HTTP calls)
"com.squareup.okhttp3:okhttp:4.12.0",
"com.squareup.okhttp3:okhttp-sse:4.12.0",
# JWT (for OAuth token handling)
"com.nimbusds:nimbus-jose-jwt:9.37.3",
],
duplicate_version_warning = "error",
fail_if_repin_required = True,
@@ -227,6 +168,7 @@ maven.install(
"https://repo1.maven.org/maven2",
],
)
use_repo(maven, "maven", "unpinned_maven")
#
@@ -234,7 +176,6 @@ use_repo(maven, "maven", "unpinned_maven")
#
http_archive = use_repo_rule("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")
http_file = use_repo_rule("@bazel_tools//tools/build_defs/repo:http.bzl", "http_file")
# GTL (for parallel_hashmap)
GTL_VERSION = "1.2.0"
@@ -263,16 +204,6 @@ http_archive(
],
)
# Busybox static binary for Docker health checks (provides nc, wget, etc.)
# https://busybox.net/downloads/binaries/
http_file(
name = "busybox_x86_64",
sha256 = "6e123e7f3202a8c1e9b1f94d8941580a25135382b99e8d3e34fb858bba311348",
urls = ["https://busybox.net/downloads/binaries/1.35.0-x86_64-linux-musl/busybox"],
downloaded_file_path = "busybox",
executable = True,
)
#
# Toolchain Registration
#
@@ -285,6 +216,5 @@ register_toolchains(
# Set dev_dependency so we can turn this off for swift MacOS builds
register_toolchains(
"@llvm_toolchain//:all",
"@llvm_toolchain_linux//:all",
dev_dependency = True,
)
+88 -308
View File
@@ -26,11 +26,7 @@
"https://bcr.bazel.build/modules/aspect_bazel_lib/1.38.0/MODULE.bazel": "6307fec451ba9962c1c969eb516ebfe1e46528f7fa92e1c9ac8646bef4cdaa3f",
"https://bcr.bazel.build/modules/aspect_bazel_lib/1.40.3/MODULE.bazel": "668e6bcb4d957fc0e284316dba546b705c8d43c857f87119619ee83c4555b859",
"https://bcr.bazel.build/modules/aspect_bazel_lib/2.11.0/MODULE.bazel": "cb1ba9f9999ed0bc08600c221f532c1ddd8d217686b32ba7d45b0713b5131452",
"https://bcr.bazel.build/modules/aspect_bazel_lib/2.14.0/MODULE.bazel": "2b31ffcc9bdc8295b2167e07a757dbbc9ac8906e7028e5170a3708cecaac119f",
"https://bcr.bazel.build/modules/aspect_bazel_lib/2.16.0/MODULE.bazel": "852f9ebbda017572a7c113a2434592dd3b2f55cd9a0faea3d4be5a09a59e4900",
"https://bcr.bazel.build/modules/aspect_bazel_lib/2.19.3/MODULE.bazel": "253d739ba126f62a5767d832765b12b59e9f8d2bc88cc1572f4a73e46eb298ca",
"https://bcr.bazel.build/modules/aspect_bazel_lib/2.19.3/source.json": "ffab9254c65ba945f8369297ad97ca0dec213d3adc6e07877e23a48624a8b456",
"https://bcr.bazel.build/modules/aspect_bazel_lib/2.7.2/MODULE.bazel": "780d1a6522b28f5edb7ea09630748720721dfe27690d65a2d33aa7509de77e07",
"https://bcr.bazel.build/modules/aspect_bazel_lib/2.11.0/source.json": "92494d5aa43b96665397dd13ee16023097470fa85e276b93674d62a244de47ee",
"https://bcr.bazel.build/modules/aspect_bazel_lib/2.7.7/MODULE.bazel": "491f8681205e31bb57892d67442ce448cda4f472a8e6b3dc062865e29a64f89c",
"https://bcr.bazel.build/modules/aspect_bazel_lib/2.8.1/MODULE.bazel": "812d2dd42f65dca362152101fbec418029cc8fd34cbad1a2fde905383d705838",
"https://bcr.bazel.build/modules/aspect_bazel_lib/2.9.3/MODULE.bazel": "66baf724dbae7aff4787bf2245cc188d50cb08e07789769730151c0943587c14",
@@ -55,11 +51,8 @@
"https://bcr.bazel.build/modules/bazel_features/1.19.0/MODULE.bazel": "59adcdf28230d220f0067b1f435b8537dd033bfff8db21335ef9217919c7fb58",
"https://bcr.bazel.build/modules/bazel_features/1.21.0/MODULE.bazel": "675642261665d8eea09989aa3b8afb5c37627f1be178382c320d1b46afba5e3b",
"https://bcr.bazel.build/modules/bazel_features/1.27.0/MODULE.bazel": "621eeee06c4458a9121d1f104efb80f39d34deff4984e778359c60eaf1a8cb65",
"https://bcr.bazel.build/modules/bazel_features/1.28.0/MODULE.bazel": "4b4200e6cbf8fa335b2c3f43e1d6ef3e240319c33d43d60cc0fbd4b87ece299d",
"https://bcr.bazel.build/modules/bazel_features/1.27.0/source.json": "ed8cf0ef05c858dce3661689d0a2b110ff398e63994e178e4f1f7555a8067fed",
"https://bcr.bazel.build/modules/bazel_features/1.3.0/MODULE.bazel": "cdcafe83ec318cda34e02948e81d790aab8df7a929cec6f6969f13a489ccecd9",
"https://bcr.bazel.build/modules/bazel_features/1.34.0/MODULE.bazel": "e8475ad7c8965542e0c7aac8af68eb48c4af904be3d614b6aa6274c092c2ea1e",
"https://bcr.bazel.build/modules/bazel_features/1.38.0/MODULE.bazel": "f9b8a9c890ebd216b4049fd12a31d3c2602e3403c7af636b04fbbd7453edc9c9",
"https://bcr.bazel.build/modules/bazel_features/1.38.0/source.json": "31ba776c122b54a2885e23651642e32f087a87bf025465f8040751894b571277",
"https://bcr.bazel.build/modules/bazel_features/1.4.1/MODULE.bazel": "e45b6bb2350aff3e442ae1111c555e27eac1d915e77775f6fdc4b351b758b5d7",
"https://bcr.bazel.build/modules/bazel_features/1.9.0/MODULE.bazel": "885151d58d90d8d9c811eb75e3288c11f850e1d6b481a8c9f766adee4712358b",
"https://bcr.bazel.build/modules/bazel_features/1.9.1/MODULE.bazel": "8f679097876a9b609ad1f60249c49d68bfab783dd9be012faf9d82547b14815a",
@@ -76,8 +69,7 @@
"https://bcr.bazel.build/modules/bazel_skylib/1.7.0/MODULE.bazel": "0db596f4563de7938de764cc8deeabec291f55e8ec15299718b93c4423e9796d",
"https://bcr.bazel.build/modules/bazel_skylib/1.7.1/MODULE.bazel": "3120d80c5861aa616222ec015332e5f8d3171e062e3e804a2a0253e1be26e59b",
"https://bcr.bazel.build/modules/bazel_skylib/1.8.1/MODULE.bazel": "88ade7293becda963e0e3ea33e7d54d3425127e0a326e0d17da085a5f1f03ff6",
"https://bcr.bazel.build/modules/bazel_skylib/1.8.2/MODULE.bazel": "69ad6927098316848b34a9142bcc975e018ba27f08c4ff403f50c1b6e646ca67",
"https://bcr.bazel.build/modules/bazel_skylib/1.8.2/source.json": "34a3c8bcf233b835eb74be9d628899bb32999d3e0eadef1947a0a562a2b16ffb",
"https://bcr.bazel.build/modules/bazel_skylib/1.8.1/source.json": "7ebaefba0b03efe59cac88ed5bbc67bcf59a3eff33af937345ede2a38b2d368a",
"https://bcr.bazel.build/modules/bazel_worker_api/0.0.6/MODULE.bazel": "fd1f9432ca04c947e91b500df69ce7c5b6dbfe1bc45ab1820338205dae3383a6",
"https://bcr.bazel.build/modules/bazel_worker_api/0.0.6/source.json": "5d68545f224904745a3cabd35aea6bc2b6cc5a78b7f49f3f69660eab2eeeb273",
"https://bcr.bazel.build/modules/boringssl/0.0.0-20211025-d4f1ab9/MODULE.bazel": "6ee6353f8b1a701fe2178e1d925034294971350b6d3ac37e67e5a7d463267834",
@@ -106,8 +98,6 @@
"https://bcr.bazel.build/modules/envoy_api/0.0.0-20250128-4de3c74/source.json": "028519164a2e24563f4b43d810fdedc702daed90e71e7042d45ba82ad807b46f",
"https://bcr.bazel.build/modules/flatbuffers/25.2.10/MODULE.bazel": "dab15cafe8512d2c4a8daa44c2d7968c5c79f01e220d40076cdc260bf58605e2",
"https://bcr.bazel.build/modules/flatbuffers/25.2.10/source.json": "7eae7ea3eb913b9802426e4d5df11d6c6072a3573a548f8cabf1e965f5cca4d0",
"https://bcr.bazel.build/modules/gawk/5.3.2.bcr.1/MODULE.bazel": "cdf8cbe5ee750db04b78878c9633cc76e80dcf4416cbe982ac3a9222f80713c8",
"https://bcr.bazel.build/modules/gawk/5.3.2.bcr.1/source.json": "fa7b512dfcb5eafd90ce3959cf42a2a6fe96144ebbb4b3b3928054895f2afac2",
"https://bcr.bazel.build/modules/gazelle/0.27.0/MODULE.bazel": "3446abd608295de6d90b4a8a118ed64a9ce11dcb3dda2dc3290a22056bd20996",
"https://bcr.bazel.build/modules/gazelle/0.30.0/MODULE.bazel": "f888a1effe338491f35f0e0e85003b47bb9d8295ccba73c37e07702d8d31c65b",
"https://bcr.bazel.build/modules/gazelle/0.32.0/MODULE.bazel": "b499f58a5d0d3537f3cf5b76d8ada18242f64ec474d8391247438bf04f58c7b8",
@@ -147,10 +137,6 @@
"https://bcr.bazel.build/modules/grpc/1.70.1/MODULE.bazel": "b800cd8e3e7555c1e61cba2e02d3a2fcf0e91f66e800db286d965d3b7a6a721a",
"https://bcr.bazel.build/modules/grpc/1.71.0/MODULE.bazel": "7fcab2c05530373f1a442c362b17740dd0c75b6a2a975eec8f5bf4c70a37928a",
"https://bcr.bazel.build/modules/grpc/1.71.0/source.json": "60ef8c4c72c8280ae94c05b4f38bf67785acb25477ab8dbac096a9604449ff90",
"https://bcr.bazel.build/modules/helly25_bzl/0.3.1/MODULE.bazel": "3a4be20f6fc13be32ad44643b8252ef5af09eee936f1d943cd4fd7867fa92826",
"https://bcr.bazel.build/modules/helly25_bzl/0.3.1/source.json": "b129ab1828492de2c163785bbeb4065c166de52d932524b4317beb5b7f917994",
"https://bcr.bazel.build/modules/jq.bzl/0.1.0/MODULE.bazel": "2ce69b1af49952cd4121a9c3055faa679e748ce774c7f1fda9657f936cae902f",
"https://bcr.bazel.build/modules/jq.bzl/0.1.0/source.json": "746bf13cac0860f091df5e4911d0c593971cd8796b5ad4e809b2f8e133eee3d5",
"https://bcr.bazel.build/modules/jsoncpp/1.9.5/MODULE.bazel": "31271aedc59e815656f5736f282bb7509a97c7ecb43e927ac1a37966e0578075",
"https://bcr.bazel.build/modules/jsoncpp/1.9.5/source.json": "4108ee5085dd2885a341c7fab149429db457b3169b86eb081fa245eadf69169d",
"https://bcr.bazel.build/modules/libpfm/4.11.0/MODULE.bazel": "45061ff025b301940f1e30d2c16bea596c25b176c8b6b3087e92615adbd52902",
@@ -175,7 +161,6 @@
"https://bcr.bazel.build/modules/opentelemetry-proto/1.5.0/source.json": "046b721ce203e88cdaad44d7dd17a86b7200eab9388b663b234e72e13ff7b143",
"https://bcr.bazel.build/modules/opentracing-cpp/1.6.0/MODULE.bazel": "b3925269f63561b8b880ae7cf62ccf81f6ece55b62cd791eda9925147ae116ec",
"https://bcr.bazel.build/modules/opentracing-cpp/1.6.0/source.json": "da1cb1add160f5e5074b7272e9db6fd8f1b3336c15032cd0a653af9d2f484aed",
"https://bcr.bazel.build/modules/package_metadata/0.0.2/MODULE.bazel": "fb8d25550742674d63d7b250063d4580ca530499f045d70748b1b142081ebb92",
"https://bcr.bazel.build/modules/package_metadata/0.0.5/MODULE.bazel": "ef4f9439e3270fdd6b9fd4dbc3d2f29d13888e44c529a1b243f7a31dfbc2e8e4",
"https://bcr.bazel.build/modules/package_metadata/0.0.5/source.json": "2326db2f6592578177751c3e1f74786b79382cd6008834c9d01ec865b9126a85",
"https://bcr.bazel.build/modules/platforms/0.0.10/MODULE.bazel": "8cb8efaf200bdeb2150d93e162c40f388529a25852b332cec879373771e48ed5",
@@ -240,14 +225,12 @@
"https://bcr.bazel.build/modules/rules_cc/0.0.15/MODULE.bazel": "6704c35f7b4a72502ee81f61bf88706b54f06b3cbe5558ac17e2e14666cd5dcc",
"https://bcr.bazel.build/modules/rules_cc/0.0.16/MODULE.bazel": "7661303b8fc1b4d7f532e54e9d6565771fea666fbdf839e0a86affcd02defe87",
"https://bcr.bazel.build/modules/rules_cc/0.0.17/MODULE.bazel": "2ae1d8f4238ec67d7185d8861cb0a2cdf4bc608697c331b95bf990e69b62e64a",
"https://bcr.bazel.build/modules/rules_cc/0.0.17/source.json": "4db99b3f55c90ab28d14552aa0632533e3e8e5e9aea0f5c24ac0014282c2a7c5",
"https://bcr.bazel.build/modules/rules_cc/0.0.2/MODULE.bazel": "6915987c90970493ab97393024c156ea8fb9f3bea953b2f3ec05c34f19b5695c",
"https://bcr.bazel.build/modules/rules_cc/0.0.5/MODULE.bazel": "be41f87587998fe8890cd82ea4e848ed8eb799e053c224f78f3ff7fe1a1d9b74",
"https://bcr.bazel.build/modules/rules_cc/0.0.6/MODULE.bazel": "abf360251023dfe3efcef65ab9d56beefa8394d4176dd29529750e1c57eaa33f",
"https://bcr.bazel.build/modules/rules_cc/0.0.8/MODULE.bazel": "964c85c82cfeb6f3855e6a07054fdb159aced38e99a5eecf7bce9d53990afa3e",
"https://bcr.bazel.build/modules/rules_cc/0.0.9/MODULE.bazel": "836e76439f354b89afe6a911a7adf59a6b2518fafb174483ad78a2a2fde7b1c5",
"https://bcr.bazel.build/modules/rules_cc/0.1.1/MODULE.bazel": "2f0222a6f229f0bf44cd711dc13c858dad98c62d52bd51d8fc3a764a83125513",
"https://bcr.bazel.build/modules/rules_cc/0.2.14/MODULE.bazel": "353c99ed148887ee89c54a17d4100ae7e7e436593d104b668476019023b58df8",
"https://bcr.bazel.build/modules/rules_cc/0.2.14/source.json": "55d0a4587c5592fad350f6e698530f4faf0e7dd15e69d43f8d87e220c78bea54",
"https://bcr.bazel.build/modules/rules_foreign_cc/0.10.1/MODULE.bazel": "b9527010e5fef060af92b6724edb3691970a5b1f76f74b21d39f7d433641be60",
"https://bcr.bazel.build/modules/rules_foreign_cc/0.10.1/source.json": "9300e71df0cdde0952f10afff1401fa664e9fc5d9ae6204660ba1b158d90d6a6",
"https://bcr.bazel.build/modules/rules_foreign_cc/0.9.0/MODULE.bazel": "c9e8c682bf75b0e7c704166d79b599f93b72cfca5ad7477df596947891feeef6",
@@ -306,8 +289,6 @@
"https://bcr.bazel.build/modules/rules_nodejs/6.3.0/MODULE.bazel": "45345e4aba35dd6e4701c1eebf5a4e67af4ed708def9ebcdc6027585b34ee52d",
"https://bcr.bazel.build/modules/rules_nodejs/6.3.3/MODULE.bazel": "b66eadebd10f1f1b25f52f95ab5213a57e82c37c3f656fcd9a57ad04d2264ce7",
"https://bcr.bazel.build/modules/rules_nodejs/6.3.3/source.json": "45bd343155bdfed2543f0e39b80ff3f6840efc31975da4b5795797f4c94147ad",
"https://bcr.bazel.build/modules/rules_oci/2.2.6/MODULE.bazel": "2ba6ddd679269e00aeffe9ca04faa2d0ca4129650982c9246d0d459fe2da47d9",
"https://bcr.bazel.build/modules/rules_oci/2.2.6/source.json": "94e7decb8f95d9465b0bbea71c65064cd16083be1350c7468f131818641dc4a5",
"https://bcr.bazel.build/modules/rules_pkg/0.7.0/MODULE.bazel": "df99f03fc7934a4737122518bb87e667e62d780b610910f0447665a7e2be62dc",
"https://bcr.bazel.build/modules/rules_pkg/1.0.1/MODULE.bazel": "5b1df97dbc29623bccdf2b0dcd0f5cb08e2f2c9050aab1092fd39a41e82686ff",
"https://bcr.bazel.build/modules/rules_pkg/1.1.0/MODULE.bazel": "9db8031e71b6ef32d1846106e10dd0ee2deac042bd9a2de22b4761b0c3036453",
@@ -340,8 +321,7 @@
"https://bcr.bazel.build/modules/rules_scala/7.1.1/source.json": "5038cb231d4020c5965c920681cf961a7bf137b40315025e40f3a7b6a0ac1f0f",
"https://bcr.bazel.build/modules/rules_shell/0.2.0/MODULE.bazel": "fda8a652ab3c7d8fee214de05e7a9916d8b28082234e8d2c0094505c5268ed3c",
"https://bcr.bazel.build/modules/rules_shell/0.3.0/MODULE.bazel": "de4402cd12f4cc8fda2354fce179fdb068c0b9ca1ec2d2b17b3e21b24c1a937b",
"https://bcr.bazel.build/modules/rules_shell/0.4.1/MODULE.bazel": "00e501db01bbf4e3e1dd1595959092c2fadf2087b2852d3f553b5370f5633592",
"https://bcr.bazel.build/modules/rules_shell/0.4.1/source.json": "4757bd277fe1567763991c4425b483477bb82e35e777a56fd846eb5cceda324a",
"https://bcr.bazel.build/modules/rules_shell/0.3.0/source.json": "c55ed591aa5009401ddf80ded9762ac32c358d2517ee7820be981e2de9756cf3",
"https://bcr.bazel.build/modules/rules_swift/1.16.0/MODULE.bazel": "4a09f199545a60d09895e8281362b1ff3bb08bbde69c6fc87aff5b92fcc916ca",
"https://bcr.bazel.build/modules/rules_swift/1.18.0/MODULE.bazel": "a6aba73625d0dc64c7b4a1e831549b6e375fbddb9d2dde9d80c9de6ec45b24c9",
"https://bcr.bazel.build/modules/rules_swift/2.1.1/MODULE.bazel": "494900a80f944fc7aa61500c2073d9729dff0b764f0e89b824eb746959bc1046",
@@ -359,19 +339,14 @@
"https://bcr.bazel.build/modules/stardoc/0.7.2/source.json": "58b029e5e901d6802967754adf0a9056747e8176f017cfe3607c0851f4d42216",
"https://bcr.bazel.build/modules/swift_argument_parser/1.3.1.1/MODULE.bazel": "5e463fbfba7b1701d957555ed45097d7f984211330106ccd1352c6e0af0dcf91",
"https://bcr.bazel.build/modules/swift_argument_parser/1.3.1.1/source.json": "32bd87e5f4d7acc57c5b2ff7c325ae3061d5e242c0c4c214ae87e0f1c13e54cb",
"https://bcr.bazel.build/modules/tar.bzl/0.2.1/MODULE.bazel": "52d1c00a80a8cc67acbd01649e83d8dd6a9dc426a6c0b754a04fe8c219c76468",
"https://bcr.bazel.build/modules/tar.bzl/0.6.0/MODULE.bazel": "a3584b4edcfafcabd9b0ef9819808f05b372957bbdff41601429d5fd0aac2e7c",
"https://bcr.bazel.build/modules/tar.bzl/0.6.0/source.json": "4a620381df075a16cb3a7ed57bd1d05f7480222394c64a20fa51bdb636fda658",
"https://bcr.bazel.build/modules/toolchains_llvm/1.6.0/MODULE.bazel": "39603859cafb1c6830160fcd6370552e836790e6abb2bfb8d13bff53c0c10a64",
"https://bcr.bazel.build/modules/toolchains_llvm/1.6.0/source.json": "6bd3ef95a288dd2bb1582eca332af850c9a5428a23bb92cb1c57c2dfe6cb7369",
"https://bcr.bazel.build/modules/toolchains_llvm/1.4.0/MODULE.bazel": "05239402b7374293359c2f22806f420b75aa5d6f4b15a2eaa809a2c214d58b31",
"https://bcr.bazel.build/modules/toolchains_llvm/1.4.0/source.json": "229a516d282b17a82be54c6e3ae220a1b750fb55a8495567e5c7a9d09423f3e2",
"https://bcr.bazel.build/modules/upb/0.0.0-20211020-160625a/MODULE.bazel": "6cced416be2dc5b9c05efd5b997049ba795e5e4e6fafbe1624f4587767638928",
"https://bcr.bazel.build/modules/upb/0.0.0-20220923-a547704/MODULE.bazel": "7298990c00040a0e2f121f6c32544bab27d4452f80d9ce51349b1a28f3005c43",
"https://bcr.bazel.build/modules/upb/0.0.0-20230516-61a97ef/MODULE.bazel": "c0df5e35ad55e264160417fd0875932ee3c9dda63d9fccace35ac62f45e1b6f9",
"https://bcr.bazel.build/modules/upb/0.0.0-20230907-e7430e6/MODULE.bazel": "3a7dedadf70346e678dc059dbe44d05cbf3ab17f1ce43a1c7a42edc7cbf93fd9",
"https://bcr.bazel.build/modules/xds/0.0.0-20240423-555b57e/MODULE.bazel": "cea509976a77e34131411684ef05a1d6ad194dd71a8d5816643bc5b0af16dc0f",
"https://bcr.bazel.build/modules/xds/0.0.0-20240423-555b57e/source.json": "7227e1fcad55f3f3cab1a08691ecd753cb29cc6380a47bc650851be9f9ad6d20",
"https://bcr.bazel.build/modules/yq.bzl/0.1.1/MODULE.bazel": "9039681f9bcb8958ee2c87ffc74bdafba9f4369096a2b5634b88abc0eaefa072",
"https://bcr.bazel.build/modules/yq.bzl/0.1.1/source.json": "2d2bad780a9f2b9195a4a370314d2c17ae95eaa745cefc2e12fbc49759b15aa3",
"https://bcr.bazel.build/modules/zlib/1.2.11/MODULE.bazel": "07b389abc85fdbca459b69e2ec656ae5622873af3f845e1c9d80fe179f3effa0",
"https://bcr.bazel.build/modules/zlib/1.2.12/MODULE.bazel": "3b1a8834ada2a883674be8cbd36ede1b6ec481477ada359cd2d3ddc562340b27",
"https://bcr.bazel.build/modules/zlib/1.2.13/MODULE.bazel": "aa6deb1b83c18ffecd940c4119aff9567cd0a671d7bba756741cb2ef043a29d5",
@@ -413,7 +388,7 @@
},
"@@aspect_rules_esbuild~//esbuild:extensions.bzl%esbuild": {
"general": {
"bzlTransitiveDigest": "8jv3p0xDR/oitFeH8y0+Y5xlyrUbfsTRlc9TSwYkwl8=",
"bzlTransitiveDigest": "8iOqbPY5ve3DvjzaI1mJZ8XTiJypN2PeWvcKOvmZLy8=",
"usagesDigest": "iDVoyPxUeADmfK8ssoyG3Ehq1bj6p7A43LpEiE266os=",
"recordedFileInputs": {},
"recordedDirentsInputs": {},
@@ -1290,280 +1265,6 @@
"recordedRepoMappingEntries": []
}
},
"@@rules_oci~//oci:extensions.bzl%oci": {
"general": {
"bzlTransitiveDigest": "FaY+7xb13bB3hmxqwAWaGp3Tf3Q4Nfdlr+F38CP5mcg=",
"usagesDigest": "uqsqMpE+yaVuTByR2rIA2v1Vkm1JwwuN6nbXOo1W9G0=",
"recordedFileInputs": {},
"recordedDirentsInputs": {},
"envVariables": {},
"generatedRepoSpecs": {
"eclipse_temurin_17_linux_amd64": {
"bzlFile": "@@rules_oci~//oci/private:pull.bzl",
"ruleClassName": "oci_pull",
"attributes": {
"www_authenticate_challenges": {},
"scheme": "https",
"registry": "index.docker.io",
"repository": "library/eclipse-temurin",
"identifier": "17-jdk",
"platform": "linux/amd64",
"target_name": "eclipse_temurin_17_linux_amd64",
"bazel_tags": []
}
},
"eclipse_temurin_17": {
"bzlFile": "@@rules_oci~//oci/private:pull.bzl",
"ruleClassName": "oci_alias",
"attributes": {
"target_name": "eclipse_temurin_17",
"www_authenticate_challenges": {},
"scheme": "https",
"registry": "index.docker.io",
"repository": "library/eclipse-temurin",
"identifier": "17-jdk",
"platforms": {
"@@platforms//cpu:x86_64": "@eclipse_temurin_17_linux_amd64"
},
"bzlmod_repository": "eclipse_temurin_17",
"reproducible": true
}
},
"ubuntu_24_04_linux_amd64": {
"bzlFile": "@@rules_oci~//oci/private:pull.bzl",
"ruleClassName": "oci_pull",
"attributes": {
"www_authenticate_challenges": {},
"scheme": "https",
"registry": "index.docker.io",
"repository": "library/ubuntu",
"identifier": "24.04",
"platform": "linux/amd64",
"target_name": "ubuntu_24_04_linux_amd64",
"bazel_tags": []
}
},
"ubuntu_24_04": {
"bzlFile": "@@rules_oci~//oci/private:pull.bzl",
"ruleClassName": "oci_alias",
"attributes": {
"target_name": "ubuntu_24_04",
"www_authenticate_challenges": {},
"scheme": "https",
"registry": "index.docker.io",
"repository": "library/ubuntu",
"identifier": "24.04",
"platforms": {
"@@platforms//cpu:x86_64": "@ubuntu_24_04_linux_amd64"
},
"bzlmod_repository": "ubuntu_24_04",
"reproducible": true
}
},
"alpine_linux_linux_amd64": {
"bzlFile": "@@rules_oci~//oci/private:pull.bzl",
"ruleClassName": "oci_pull",
"attributes": {
"www_authenticate_challenges": {},
"scheme": "https",
"registry": "index.docker.io",
"repository": "library/alpine",
"identifier": "3.21",
"platform": "linux/amd64",
"target_name": "alpine_linux_linux_amd64",
"bazel_tags": []
}
},
"alpine_linux": {
"bzlFile": "@@rules_oci~//oci/private:pull.bzl",
"ruleClassName": "oci_alias",
"attributes": {
"target_name": "alpine_linux",
"www_authenticate_challenges": {},
"scheme": "https",
"registry": "index.docker.io",
"repository": "library/alpine",
"identifier": "3.21",
"platforms": {
"@@platforms//cpu:x86_64": "@alpine_linux_linux_amd64"
},
"bzlmod_repository": "alpine_linux",
"reproducible": true
}
},
"oci_crane_darwin_amd64": {
"bzlFile": "@@rules_oci~//oci:repositories.bzl",
"ruleClassName": "crane_repositories",
"attributes": {
"platform": "darwin_amd64",
"crane_version": "v0.18.0"
}
},
"oci_crane_darwin_arm64": {
"bzlFile": "@@rules_oci~//oci:repositories.bzl",
"ruleClassName": "crane_repositories",
"attributes": {
"platform": "darwin_arm64",
"crane_version": "v0.18.0"
}
},
"oci_crane_linux_arm64": {
"bzlFile": "@@rules_oci~//oci:repositories.bzl",
"ruleClassName": "crane_repositories",
"attributes": {
"platform": "linux_arm64",
"crane_version": "v0.18.0"
}
},
"oci_crane_linux_armv6": {
"bzlFile": "@@rules_oci~//oci:repositories.bzl",
"ruleClassName": "crane_repositories",
"attributes": {
"platform": "linux_armv6",
"crane_version": "v0.18.0"
}
},
"oci_crane_linux_i386": {
"bzlFile": "@@rules_oci~//oci:repositories.bzl",
"ruleClassName": "crane_repositories",
"attributes": {
"platform": "linux_i386",
"crane_version": "v0.18.0"
}
},
"oci_crane_linux_s390x": {
"bzlFile": "@@rules_oci~//oci:repositories.bzl",
"ruleClassName": "crane_repositories",
"attributes": {
"platform": "linux_s390x",
"crane_version": "v0.18.0"
}
},
"oci_crane_linux_amd64": {
"bzlFile": "@@rules_oci~//oci:repositories.bzl",
"ruleClassName": "crane_repositories",
"attributes": {
"platform": "linux_amd64",
"crane_version": "v0.18.0"
}
},
"oci_crane_windows_armv6": {
"bzlFile": "@@rules_oci~//oci:repositories.bzl",
"ruleClassName": "crane_repositories",
"attributes": {
"platform": "windows_armv6",
"crane_version": "v0.18.0"
}
},
"oci_crane_windows_amd64": {
"bzlFile": "@@rules_oci~//oci:repositories.bzl",
"ruleClassName": "crane_repositories",
"attributes": {
"platform": "windows_amd64",
"crane_version": "v0.18.0"
}
},
"oci_crane_toolchains": {
"bzlFile": "@@rules_oci~//oci/private:toolchains_repo.bzl",
"ruleClassName": "toolchains_repo",
"attributes": {
"toolchain_type": "@rules_oci//oci:crane_toolchain_type",
"toolchain": "@oci_crane_{platform}//:crane_toolchain"
}
},
"oci_regctl_darwin_amd64": {
"bzlFile": "@@rules_oci~//oci:repositories.bzl",
"ruleClassName": "regctl_repositories",
"attributes": {
"platform": "darwin_amd64"
}
},
"oci_regctl_darwin_arm64": {
"bzlFile": "@@rules_oci~//oci:repositories.bzl",
"ruleClassName": "regctl_repositories",
"attributes": {
"platform": "darwin_arm64"
}
},
"oci_regctl_linux_arm64": {
"bzlFile": "@@rules_oci~//oci:repositories.bzl",
"ruleClassName": "regctl_repositories",
"attributes": {
"platform": "linux_arm64"
}
},
"oci_regctl_linux_s390x": {
"bzlFile": "@@rules_oci~//oci:repositories.bzl",
"ruleClassName": "regctl_repositories",
"attributes": {
"platform": "linux_s390x"
}
},
"oci_regctl_linux_amd64": {
"bzlFile": "@@rules_oci~//oci:repositories.bzl",
"ruleClassName": "regctl_repositories",
"attributes": {
"platform": "linux_amd64"
}
},
"oci_regctl_windows_amd64": {
"bzlFile": "@@rules_oci~//oci:repositories.bzl",
"ruleClassName": "regctl_repositories",
"attributes": {
"platform": "windows_amd64"
}
},
"oci_regctl_toolchains": {
"bzlFile": "@@rules_oci~//oci/private:toolchains_repo.bzl",
"ruleClassName": "toolchains_repo",
"attributes": {
"toolchain_type": "@rules_oci//oci:regctl_toolchain_type",
"toolchain": "@oci_regctl_{platform}//:regctl_toolchain"
}
}
},
"moduleExtensionMetadata": {
"explicitRootModuleDirectDeps": [
"eclipse_temurin_17",
"eclipse_temurin_17_linux_amd64",
"ubuntu_24_04",
"ubuntu_24_04_linux_amd64",
"alpine_linux",
"alpine_linux_linux_amd64"
],
"explicitRootModuleDirectDevDeps": [],
"useAllRepos": "NO",
"reproducible": false
},
"recordedRepoMappingEntries": [
[
"aspect_bazel_lib~",
"bazel_tools",
"bazel_tools"
],
[
"bazel_features~",
"bazel_tools",
"bazel_tools"
],
[
"rules_oci~",
"aspect_bazel_lib",
"aspect_bazel_lib~"
],
[
"rules_oci~",
"bazel_features",
"bazel_features~"
],
[
"rules_oci~",
"bazel_skylib",
"bazel_skylib~"
]
]
}
},
"@@rules_scala~//scala/extensions:config.bzl%scala_config": {
"general": {
"bzlTransitiveDigest": "TdBxhkZTM7VU6teIFS+KoonKU7wmb5BL7leCWWx7yX8=",
@@ -1592,7 +1293,7 @@
},
"@@rules_scala~//scala/extensions:deps.bzl%scala_deps": {
"general": {
"bzlTransitiveDigest": "5SDZrXQHW6tI/VEw+La2OPOK4ZWm0LGTxnChXOXBCag=",
"bzlTransitiveDigest": "F2PMm61fmZ/IE+VSw1rigJ71hBDD7k3vqyYR1/GgXeA=",
"usagesDigest": "kwo8oolISmSSITnit4b4S0vBiUtHlHK0WLDUwScxmOg=",
"recordedFileInputs": {},
"recordedDirentsInputs": {},
@@ -5203,6 +4904,85 @@
]
]
}
},
"@@toolchains_llvm~//toolchain/extensions:llvm.bzl%llvm": {
"general": {
"bzlTransitiveDigest": "afRF0aFOIUrkYl3o040WQ606ep1qciEXzjnAxT3Kek8=",
"usagesDigest": "sYVuhiCAQehFTnGTv0bNtTBR4WorebpWBNxF0mRusyw=",
"recordedFileInputs": {},
"recordedDirentsInputs": {},
"envVariables": {},
"generatedRepoSpecs": {
"llvm_toolchain_llvm": {
"bzlFile": "@@toolchains_llvm~//toolchain:rules.bzl",
"ruleClassName": "llvm",
"attributes": {
"alternative_llvm_sources": [],
"auth_patterns": {},
"distribution": "auto",
"exec_arch": "",
"exec_os": "",
"libclang_rt": {},
"llvm_mirror": "",
"llvm_version": "20.1.2",
"llvm_versions": {},
"netrc": "",
"sha256": {},
"strip_prefix": {},
"urls": {}
}
},
"llvm_toolchain": {
"bzlFile": "@@toolchains_llvm~//toolchain:rules.bzl",
"ruleClassName": "toolchain",
"attributes": {
"absolute_paths": false,
"archive_flags": {},
"compile_flags": {},
"conly_flags": {},
"coverage_compile_flags": {},
"coverage_link_flags": {},
"cxx_builtin_include_directories": {},
"cxx_flags": {},
"cxx_standard": {},
"dbg_compile_flags": {},
"exec_arch": "",
"exec_os": "",
"extra_exec_compatible_with": {},
"extra_target_compatible_with": {},
"link_flags": {},
"link_libs": {},
"llvm_versions": {
"": "20.1.2"
},
"opt_compile_flags": {},
"opt_link_flags": {},
"stdlib": {},
"target_settings": {},
"unfiltered_compile_flags": {},
"toolchain_roots": {},
"sysroot": {}
}
}
},
"recordedRepoMappingEntries": [
[
"toolchains_llvm~",
"bazel_skylib",
"bazel_skylib~"
],
[
"toolchains_llvm~",
"bazel_tools",
"bazel_tools"
],
[
"toolchains_llvm~",
"toolchains_llvm",
"toolchains_llvm~"
]
]
}
}
}
}
+303
View File
@@ -0,0 +1,303 @@
# Actions and Commands Model Usage Analysis
This document analyzes all actions and commands in `src/main/scala/net/eagle0/eagle/library/actions/impl` to determine which use Scala models vs protobuf models, based on BUILD.bazel dependencies.
**Legend:**
-**Scala Models Only** - Uses only `//src/main/scala/net/eagle0/eagle/model` dependencies
-**Uses Protobuf** - Has dependencies on `//src/main/protobuf` targets
- 🔄 **Partial Conversion** - Conversion attempted but blocked by dependencies
## Summary
Based on BUILD.bazel dependency analysis (2025-09-04):
- **Total Commands Analyzed:** 40
- **Commands Fully Migrated (No Protobuf):** 36 (90%)
- **Commands Still Using Protobuf:** 4 (10%)
- **Actions:** Most still have protobuf dependencies
- **Base Classes:** 8 protoless variants available, 6 still use protobuf
## Conversion Insights
Based on conversion attempt of `ResolveTruceOfferCommand` (see [PR #4379](https://github.com/nolen777/eagle0/pull/4379)):
### Key Challenges Discovered
1. **LLM Integration Dependencies**: Commands that use `DiplomacyResolutionLlmRequestGenerator` face challenges because the LLM system still expects protobuf enum types, not Scala model enums.
2. **Inconsistent Package Naming**: Some files have inconsistent package declarations vs BUILD file locations (e.g., `generated_text_request_generators` in package vs `llm_request_generators` in BUILD).
3. **Model Constructor Differences**: Scala model constructors (e.g., `TruceOffer`) have different required parameters than their protobuf counterparts, requiring more complex data mapping.
4. **Type System Complexity**: Union types and type constraints become more complex when mixing protobuf and Scala model types during transition.
5. **Cascading Dependency Issues**: Converting to `ActionResultC` requires extensive trait dependencies (`ChangedBattalionT`, `ChangedHeroT`, `GeneratedTextRequestT`, etc.) that create complex BUILD dependency graphs, unlike simple protobuf `ActionResult`.
6. **BUILD Complexity**: Each Scala model conversion requires significantly more BUILD dependencies than protobuf equivalents, making incremental conversion difficult.
7. **Build Verification Critical**: Any conversion must maintain working build state - even simple commands like `DefendCommand` can break main server build due to dependency cascades.
### Successful Conversion Elements
- ✅ Base class conversion (`SimpleAction``ProtolessSimpleAction`)
- ✅ Import updates for most Scala model types
- ✅ BUILD.bazel dependency updates for core action result types
- ✅ Basic type conversions for simple cases
### Recommended Conversion Strategy
1. **Architecture-First Approach**: Convert base infrastructure (LLM generators, action result builders) before individual commands
2. **Wrapper Pattern**: Use existing `Protoless*ActionWrapper` classes as templates for gradual transition
3. **Dependency Analysis**: Map full dependency trees before attempting conversions to avoid cascading build failures
4. **Batch Conversions**: Convert related commands together to minimize dependency conflicts
5. **Build Verification**: **ALWAYS** verify `//src/main/scala/net/eagle0/eagle:eagle_server` and test suite build before creating PRs
### Conversion Requirements
**Before creating any PR:**
-`bazel build //src/main/scala/net/eagle0/eagle:eagle_server` succeeds
-`bazel test //src/test/scala/... --keep_going` passes (or doesn't introduce new failures)
- ✅ All BUILD dependencies are correctly specified
- ✅ Scalafmt and other linters pass
---
## Common Base Classes
| File | Type | Model Usage | Notes |
|------|------|-------------|-------|
| Action.scala | Base Class | ❌ Uses Protobuf | Depends on `action_result_scala_proto`, `game_state_scala_proto` |
| ActionWithResultingState.scala | Base Class | ❌ Uses Protobuf | Depends on `action_result_scala_proto`, `game_state_scala_proto` |
| DeterministicSingleResultAction.scala | Base Class | ❌ Uses Protobuf | Depends on `action_result_scala_proto`, `game_state_scala_proto` |
| DeterministicSequentialResultsAction.scala | Base Class | ❌ Uses Protobuf | Depends on `action_result_scala_proto`, `game_state_scala_proto` |
| ProtolessRandomSequentialResultsAction.scala | Base Class | ✅ Scala Models Only | Uses `//src/main/scala/net/eagle0/eagle/model/action_result` |
| ProtolessRandomSimpleAction.scala | Base Class | ✅ Scala Models Only | Uses `//src/main/scala/net/eagle0/eagle/model/action_result` |
| ProtolessSequentialResultsAction.scala | Base Class | ✅ Scala Models Only | Uses `//src/main/scala/net/eagle0/eagle/model/action_result` |
| ProtolessSimpleAction.scala | Base Class | ✅ Scala Models Only | Uses `//src/main/scala/net/eagle0/eagle/model/action_result` |
| RandomSequentialResultsAction.scala | Base Class | ❌ Uses Protobuf | Depends on `action_result_scala_proto`, `game_state_scala_proto` |
| RandomSimpleAction.scala | Base Class | ❌ Uses Protobuf | Depends on `action_result_scala_proto` |
| RandomStateProtoSequencer.scala | Sequencer | ❌ Uses Protobuf | Bridge class, depends on both protobuf and Scala models |
| RandomStateTSequencer.scala | Sequencer | ❌ Uses Protobuf | Bridge class, depends on both protobuf and Scala models |
| SimpleAction.scala | Base Class | ❌ Uses Protobuf | Depends on `action_result_scala_proto` |
| VigorXPApplier.scala | Utility | ❌ Uses Protobuf | Depends on `action_result_scala_proto` |
---
## Actions
| File | Model Usage | Notes |
|------|-------------|-------|
| CheckForFactionChangesAction.scala | ❌ Uses Protobuf | |
| CheckForFailedQuestsAction.scala | ❌ Uses Protobuf | Depends on `unaffiliated_hero_quest_scala_proto` |
| CheckForFulfilledQuestsAction.scala | ❌ Uses Protobuf | Depends on multiple protobuf targets |
| ChronicleEventGenerator.scala | ❌ Uses Protobuf | Depends on multiple protobuf targets |
| EndAttackDecisionPhaseAction.scala | ❌ Uses Protobuf | Depends on multiple protobuf targets |
| EndBattleAftermathPhaseAction.scala | ❌ Uses Protobuf | Depends on multiple protobuf targets |
| EndBattleRequestPhaseAction.scala | ❌ Uses Protobuf | Depends on `diplomacy_offer_status_scala_proto` |
| EndBattleResolutionPhaseAction.scala | ❌ Uses Protobuf | Depends on multiple protobuf targets |
| EndDefenseDecisionPhaseAction.scala | ❌ Uses Protobuf | Depends on multiple protobuf targets |
| EndDiplomacyResolutionPhaseAction.scala | ❌ Uses Protobuf | Depends on multiple protobuf targets |
| EndFreeForAllBattleRequestPhaseAction.scala | ❌ Uses Protobuf | Depends on multiple protobuf targets |
| EndFreeForAllBattleResolutionPhaseAction.scala | ❌ Uses Protobuf | Depends on multiple protobuf targets |
| EndFreeForAllDecisionPhaseAction.scala | ❌ Uses Protobuf | Depends on multiple protobuf targets |
| EndHandleRiotsPhaseAction.scala | ❌ Uses Protobuf | Depends on multiple protobuf targets |
| EndPlayerCommandsPhaseAction.scala | ❌ Uses Protobuf | Depends on multiple protobuf targets |
| EndPleaseRecruitMePhaseAction.scala | ❌ Uses Protobuf | Depends on multiple protobuf targets |
| EndProvinceMoveResolutionPhaseAction.scala | ❌ Uses Protobuf | Depends on multiple protobuf targets |
| EndUnaffiliatedHeroActionsPhaseAction.scala | ❌ Uses Protobuf | Depends on multiple protobuf targets |
| EndVassalCommandsPhaseAction.scala | ❌ Uses Protobuf | Depends on multiple protobuf targets |
| FreeForAllDrawAction.scala | ❌ Uses Protobuf | Depends on multiple protobuf targets |
| FriendlyMoveAction.scala | ❌ Uses Protobuf | Depends on multiple protobuf targets |
| HeroBackstoryUpdateAction.scala | ❌ Uses Protobuf | Depends on `game_state_scala_proto` |
| HeroBackstoryUpdateActionGenerator.scala | ❌ Uses Protobuf | Depends on `game_state_scala_proto` |
| NewRoundAction.scala | ❌ Uses Protobuf | Depends on multiple protobuf targets |
| NewYearAction.scala | ❌ Uses Protobuf | Depends on multiple protobuf targets |
| PerformFoodConsumptionPhaseAction.scala | ❌ Uses Protobuf | Depends on multiple protobuf targets |
| PerformForcedTurnBackAction.scala | ❌ Uses Protobuf | Depends on multiple protobuf targets |
| PerformHeroDeparturesAction.scala | ❌ Uses Protobuf | Depends on multiple protobuf targets |
| PerformHostileArmySetupAction.scala | ❌ Uses Protobuf | Depends on multiple protobuf targets |
| PerformProvinceEventsAction.scala | ❌ Uses Protobuf | Depends on `province_event_scala_proto` |
| PerformProvinceMoveResolutionAction.scala | ❌ Uses Protobuf | Depends on multiple protobuf targets |
| PerformReconResolutionAction.scala | ❌ Uses Protobuf | Depends on multiple protobuf targets |
| PerformUnaffiliatedHeroesAction.scala | ❌ Uses Protobuf | Depends on `unaffiliated_hero_quest_scala_proto` |
| PerformUncontestedConquestAction.scala | ❌ Uses Protobuf | Depends on multiple protobuf targets |
| PerformVassalCommandsPhaseAction.scala | ❌ Uses Protobuf | Depends on multiple protobuf targets |
| PerformVassalDefenseDecisionsAction.scala | ❌ Uses Protobuf | Depends on multiple protobuf targets |
| PrisonerEscapeAction.scala | ❌ Uses Protobuf | Depends on `game_state_scala_proto` |
| PrisonerExchangeAction.scala | ❌ Uses Protobuf | Depends on multiple protobuf targets |
| ProvinceConqueredAction.scala | ❌ Uses Protobuf | Depends on `common_unit_scala_proto` |
| ProvinceHeldAction.scala | ❌ Uses Protobuf | Depends on `game_state_scala_proto` |
| RequestBattlesAction.scala | ❌ Uses Protobuf | Depends on multiple protobuf targets |
| RequestFreeForAllBattlesAction.scala | ❌ Uses Protobuf | Depends on multiple protobuf targets |
| ResolveBattleAction.scala | ❌ Uses Protobuf | Depends on `shardok_internal_interface_scala_grpc` |
| SafePassageArmiesProceedAction.scala | ❌ Uses Protobuf | Depends on multiple protobuf targets |
| ShipmentArrivedAction.scala | ❌ Uses Protobuf | Depends on multiple protobuf targets |
| TruceTurnBackPhaseAction.scala | ❌ Uses Protobuf | Depends on multiple protobuf targets |
| UnaffiliatedHeroAppearedAction.scala | ❌ Uses Protobuf | Depends on `game_state_scala_proto` |
| UnaffiliatedHeroMovedAction.scala | ❌ Uses Protobuf | Depends on multiple protobuf targets |
| UnaffiliatedHeroRejoinedAction.scala | ❌ Uses Protobuf | Depends on multiple protobuf targets |
| UnaffiliatedHeroesChangedAction.scala | ❌ Uses Protobuf | Depends on multiple protobuf targets |
| WithdrawnArmiesReturnHomeAction.scala | ❌ Uses Protobuf | Depends on `game_state_scala_proto` |
| WonFreeForAllAction.scala | ❌ Uses Protobuf | Depends on multiple protobuf targets |
---
## Commands
### ✅ Fully Migrated Commands (No Protobuf Dependencies)
These commands have **NO protobuf dependencies** in their BUILD.bazel targets:
| File | Build Target | Notes |
|------|--------------|-------|
| AlmsCommand.scala | `alms_command` | Uses `ProtolessSimpleAction` |
| ApprehendOutlawCommand.scala | `apprehend_outlaw_command` | Fully migrated |
| AttackDecisionCommand.scala | `attack_decision_command` | Fully migrated |
| ControlWeatherCommand.scala | `control_weather_command` | Fully migrated |
| DeclineQuestCommand.scala | `decline_quest_command` | Uses quest fulfillment models |
| DivineCommand.scala | `divine_command` | Uses LLM request generation |
| ExileVassalCommand.scala | `exile_vassal_command` | Uses `ProtolessSimpleAction` |
| FeastCommand.scala | `feast_command` | Fully migrated |
| HandleCapturedHeroesCommand.scala | `handle_captured_heroes_command` | Uses LLM generation |
| HandleRiotCrackDownCommand.scala | `handle_riot_crack_down_command` | Fully migrated |
| HandleRiotDoNothingCommand.scala | `handle_riot_do_nothing_command` | Fully migrated |
| HandleRiotGiveCommand.scala | `handle_riot_give_command` | Fully migrated |
| HeroGiftCommand.scala | `hero_gift_command` | Fully migrated |
| ImproveCommand.scala | `improve_command` | Uses quest fulfillment models |
| IssueOrdersCommand.scala | `issue_orders_command` | Fully migrated |
| ManagePrisonersCommand.scala | `manage_prisoners_command` | Fully migrated |
| PleaseRecruitMeCommand.scala | `please_recruit_me_command` | Uses LLM generation |
| RecruitHeroesCommand.scala | `recruit_heroes_command` | Fully migrated |
| RestCommand.scala | `rest_command` | Fully migrated |
| ReturnCommand.scala | `return_command` | Fully migrated |
| SuppressBeastsCommand.scala | `suppress_beasts_command` | Uses LLM generation |
| TradeCommand.scala | `trade_command` | Fully migrated |
| TravelCommand.scala | `travel_command` | Uses quest fulfillment |
| ArmTroopsCommand.scala | `arm_troops_command` | **NEWLY MIGRATED** - Uses Scala BattalionType model |
| TrainCommand.scala | `train_command` | **NEWLY MIGRATED** - Uses Scala BattalionType model, ProtolessSimpleAction |
| DefendCommand.scala | `defend_command` | **NEWLY MIGRATED** - Uses ProtolessSimpleAction |
| ReconCommand.scala | `recon_command` | **NEWLY MIGRATED** - Uses ProtolessSimpleAction |
| OrganizeTroopsCommand.scala | `organize_troops_command` | **NEWLY MIGRATED** - Uses ProtolessRandomSimpleAction |
| SendSuppliesCommand.scala | `send_supplies_command` | **NEWLY MIGRATED** - Uses ProtolessSimpleAction, MovingSupplies domain model |
| StartEpidemicCommand.scala | `start_epidemic_command` | **NEWLY MIGRATED** - Uses ProtolessSimpleAction, DeferredChange domain model |
| SwearBrotherhoodCommand.scala | `swear_brotherhood_command` | **NEWLY MIGRATED** - Uses ProtolessSimpleAction, LLM integration |
| MarchCommand.scala | `march_command` | **NEWLY MIGRATED** - Uses ProtolessSimpleAction, Army domain model |
| ResolveTruceOfferCommand.scala | `resolve_truce_offer_command` | **NEWLY MIGRATED** - Uses ProtolessSimpleAction, TruceOffer domain model, LLM integration |
| ResolveInvitationCommand.scala | `resolve_invitation_command` | **NEWLY MIGRATED** - Uses ProtolessSimpleAction, Invitation domain model, LLM integration |
| ResolveRansomOfferCommand.scala | `resolve_ransom_offer_command` | **NEWLY MIGRATED** - Uses ProtolessSimpleAction, RansomOffer domain model, LLM integration |
| ResolveTributeCommand.scala | `resolve_tribute_command` | **NEWLY MIGRATED** - Uses ProtolessSimpleAction, TributeAmount domain model |
**Total: 36 commands (90% of all commands)**
### ⚠️ Commands Still Using Protobuf Dependencies
These commands have protobuf dependencies in their BUILD.bazel files:
| File | Build Target | Key Protobuf Dependencies | Migration Complexity |
|------|--------------|---------------------------|---------------------|
| DiplomacyCommand.scala | `diplomacy_command` | `diplomacy_option`, `diplomacy_offer`, `available_command` | High - Complex diplomacy |
| ResolveAllianceOfferCommand.scala | `resolve_alliance_offer_command` | `diplomacy_offer`, `available_command`, `action_result` | High - Diplomacy |
| ResolveBreakAllianceCommand.scala | `resolve_break_alliance_command` | `diplomacy_offer`, `available_command`, `action_result` | High - Diplomacy |
| ~~ResolveRansomOfferCommand.scala~~ | ~~`resolve_ransom_offer_command`~~ | ~~**MIGRATED**~~ | ~~High - Diplomacy~~ |
| ~~ResolveTributeCommand.scala~~ | ~~`resolve_tribute_command`~~ | ~~**MIGRATED**~~ | ~~High - Diplomacy~~ |
**Total: 4 commands (10% of all commands)**
### Migration Complexity Analysis
**Low Complexity (0 commands)**: Single protobuf dependency
- ~~All low complexity commands have been migrated~~
**Medium Complexity (0 commands)**: API layer or simple state dependencies
- ~~All medium complexity commands have been migrated~~
**High Complexity (6 commands)**: Complex state or diplomacy
- All diplomacy resolution commands (5) - need complete diplomacy model migration
- Commands with complex `game_state` dependencies (1)
---
## Diplomacy Helpers
All diplomacy helpers use **Scala models only**:
| File | Model Usage | Notes |
|------|-------------|-------|
| AllianceResolutionHelpers.scala | ✅ Scala Models Only | Uses `//src/main/scala/net/eagle0/eagle/model` only |
| BreakAllianceResolutionHelpers.scala | ✅ Scala Models Only | Uses `//src/main/scala/net/eagle0/eagle/model` only |
| InvitationResolutionHelpers.scala | ✅ Scala Models Only | Uses `//src/main/scala/net/eagle0/eagle/model` only |
| RansomResolutionHelpers.scala | ✅ Scala Models Only | Uses `//src/main/scala/net/eagle0/eagle/model` only |
| TruceResolutionHelpers.scala | ✅ Scala Models Only | Uses `//src/main/scala/net/eagle0/eagle/model` only |
---
## Migration Priority Analysis
Based on the BUILD.bazel dependency analysis, here are the key findings and recommendations:
### 🎯 High Impact Migration Targets
**Core Dependencies Blocking Multiple Commands:**
1. **`action_result_scala_proto`** - Used by 12+ commands
- Blocks: `DefendCommand`, `FreeForAllDecisionCommand`, diplomacy resolvers
- Impact: Would unlock many command migrations
2. **`available_command_scala_proto` / `selected_command_scala_proto`** - Used by 10+ commands
- Blocks: All UI-interactive commands
- Impact: Would enable client-server interaction model migration
3. **`game_state_scala_proto`** - Used by 8+ commands
- Blocks: Complex state-dependent commands
- Impact: Core state representation migration
### 📊 Migration Tiers by Complexity
**Tier 1 - Quick Wins (2 commands):**
- `ArmTroopsCommand` - Only `battalion_type` dependency
- `TrainCommand` - Only `battalion_type` dependency
- **Effort:** Low, **Impact:** Demonstrates battalion model usage
**Tier 2 - API Layer (5 commands):**
- Commands blocked by `available_command`/`selected_command`
- **Effort:** Medium, **Impact:** High (enables UI interaction models)
**Tier 3 - Diplomacy Suite (6 commands):**
- All `Resolve*Command` diplomacy commands
- **Effort:** High, **Impact:** High (complete diplomacy model migration)
- **Strategy:** Migrate as a group after diplomacy models are ready
### 🏆 Success Metrics
**Current Status:**
-**82.5% of commands fully migrated** (33/40)
-**All diplomacy helpers use Scala models**
-**All protoless base classes available**
-**One diplomacy command completed** (ResolveTruceOfferCommand)
**Next Milestones:**
-**70% target:** Migrate Tier 1 + some Tier 2 commands **COMPLETED**
-**80% target:** Continue with remaining non-diplomacy commands **COMPLETED**
- **85% target:** Complete API layer migration
- **95% target:** Complete diplomacy migration
### 🔄 Conversion Strategy Updates
**Revised Approach Based on Analysis:**
1. **Focus on Core Dependencies First**
- Migrate `battalion_type` model (unlocks 2 commands immediately)
- Migrate `action_result` model (unlocks 12+ commands)
- Migrate `available_command`/`selected_command` (unlocks UI layer)
2. **Leverage Existing Success**
- 77.5% of commands already fully migrated
- Use migrated commands as reference implementations
- Diplomacy helpers prove complex business logic can work with Scala models
3. **Group Related Migrations**
- Military commands: `ArmTroopsCommand`, `TrainCommand`, `OrganizeTroopsCommand`
- UI commands: All using `available_command`/`selected_command`
- Diplomacy commands: All `Resolve*Command` variants
---
*Updated on 2025-09-04 - Analysis based on BUILD.bazel dependencies*
-239
View File
@@ -1,239 +0,0 @@
load("@rules_oci//oci:defs.bzl", "oci_image", "oci_load", "oci_push")
load("@rules_pkg//pkg:tar.bzl", "pkg_tar")
#
# Shared utilities layer (busybox for nc, wget, etc.)
#
pkg_tar(
name = "busybox_layer",
srcs = ["@busybox_x86_64//file"],
package_dir = "/usr/local/bin",
remap_paths = {
"file/busybox": "busybox",
},
symlinks = {
"/usr/local/bin/nc": "busybox",
},
)
#
# Eagle Server Docker Image
#
# Build: bazel build //ci:eagle_server_image
# Load: bazel run //ci:eagle_server_load
# Push: bazel run //ci:eagle_server_push
#
# Package the deploy JAR
pkg_tar(
name = "eagle_server_jar_layer",
srcs = ["//src/main/scala/net/eagle0/eagle:eagle_server_deploy.jar"],
package_dir = "/app",
)
# Package the game resources needed at runtime
pkg_tar(
name = "eagle_resources_layer",
srcs = [
"//src/main/resources/net/eagle0/eagle:beasts",
"//src/main/resources/net/eagle0/eagle:game_parameters",
"//src/main/resources/net/eagle0/eagle:headshots",
"//src/main/resources/net/eagle0/eagle:heroes",
"//src/main/resources/net/eagle0/eagle:province_map",
"//src/main/resources/net/eagle0/eagle:settings",
],
package_dir = "/app/resources",
)
oci_image(
name = "eagle_server_image",
base = "@eclipse_temurin_17_linux_amd64",
entrypoint = [
"java",
"-Xmx2g",
"-XX:+UseG1GC",
# JFR profiling support
"-XX:+UnlockDiagnosticVMOptions",
"-XX:+DebugNonSafepoints", # Required for JFR to see through inlined methods
"-XX:FlightRecorderOptions=stackdepth=256",
"-jar",
"/app/eagle_server_deploy.jar",
],
env = {
"JAVA_OPTS": "-Xmx2g -XX:+UseG1GC",
},
exposed_ports = ["40032/tcp"],
tars = [
":busybox_layer",
":eagle_server_jar_layer",
":eagle_resources_layer",
],
workdir = "/app",
)
# Load into Docker locally: bazel run //ci:eagle_server_load
oci_load(
name = "eagle_server_load",
image = ":eagle_server_image",
repo_tags = ["eagle0/eagle-server:latest"],
)
# Push to DigitalOcean Container Registry
# Note: No remote_tags here - DigitalOcean converts OCI to Docker format,
# changing the digest and breaking oci_push's tag-by-digest logic.
# Tagging is handled in the CI workflow using crane copy/tag.
oci_push(
name = "eagle_server_push",
image = ":eagle_server_image",
repository = "registry.digitalocean.com/eagle0/eagle-server",
)
#
# Shardok Server Docker Image
#
# Build: bazel build //ci:shardok_server_image
# Load: bazel run //ci:shardok_server_load
# Push: bazel run //ci:shardok_server_push
#
# Package the Shardok binary
pkg_tar(
name = "shardok_binary_layer",
srcs = ["//src/main/cpp/net/eagle0/shardok:shardok-server"],
package_dir = "/app",
)
# Package the Shardok resources (battalion types, settings)
pkg_tar(
name = "shardok_resources_layer",
srcs = [
"//src/main/resources/net/eagle0/shardok:battalion_types",
"//src/main/resources/net/eagle0/shardok:settings",
],
package_dir = "/app/resources",
)
# Package the converted maps
pkg_tar(
name = "shardok_maps_layer",
srcs = ["//src/main/resources/net/eagle0/shardok/maps"],
package_dir = "/app/resources/maps",
)
oci_image(
name = "shardok_server_image",
base = "@ubuntu_24_04_linux_amd64",
entrypoint = ["/app/shardok-server"],
exposed_ports = [
"40042/tcp",
"40052/tcp",
],
tars = [
":busybox_layer",
":shardok_binary_layer",
":shardok_resources_layer",
":shardok_maps_layer",
],
workdir = "/app",
)
# Load into Docker locally: bazel run //ci:shardok_server_load
oci_load(
name = "shardok_server_load",
image = ":shardok_server_image",
repo_tags = ["eagle0/shardok-server:latest"],
)
# Push to DigitalOcean Container Registry
# Note: No remote_tags here - DigitalOcean converts OCI to Docker format,
# changing the digest and breaking oci_push's tag-by-digest logic.
# Tagging is handled in the CI workflow using crane copy/tag.
oci_push(
name = "shardok_server_push",
image = ":shardok_server_image",
repository = "registry.digitalocean.com/eagle0/shardok-server",
)
#
# Admin Server Docker Image (Go)
#
# Build: bazel build //ci:admin_server_image
# Load: bazel run //ci:admin_server_load
# Push: bazel run //ci:admin_server_push
#
# Package the Go admin binary (explicit Linux x86_64 target)
pkg_tar(
name = "admin_binary_layer",
srcs = ["//src/main/go/net/eagle0/admin_server:admin_server_linux_amd64"],
package_dir = "/app",
)
oci_image(
name = "admin_server_image",
base = "@alpine_linux_linux_amd64",
entrypoint = ["/app/admin_server_linux_amd64"],
exposed_ports = ["8080/tcp"],
tars = [
":busybox_layer",
":admin_binary_layer",
],
workdir = "/app",
)
# Load into Docker locally: bazel run //ci:admin_server_load
oci_load(
name = "admin_server_load",
image = ":admin_server_image",
repo_tags = ["eagle0/admin-server:latest"],
)
# Push to DigitalOcean Container Registry
oci_push(
name = "admin_server_push",
image = ":admin_server_image",
repository = "registry.digitalocean.com/eagle0/admin-server",
)
#
# JFR Sidecar Docker Image (Go + JDK for jcmd)
#
# This sidecar runs with shared PID namespace to access the Eagle JVM.
# Build: bazel build //ci:jfr_sidecar_image
# Load: bazel run //ci:jfr_sidecar_load
# Push: bazel run //ci:jfr_sidecar_push
#
# Package the Go JFR server binary
pkg_tar(
name = "jfr_sidecar_binary_layer",
srcs = ["//src/main/go/net/eagle0/jfr_server:jfr_server_linux_amd64"],
package_dir = "/app",
)
oci_image(
name = "jfr_sidecar_image",
# Use JDK base image - we need jcmd to dump JFR recordings
base = "@eclipse_temurin_17_linux_amd64",
entrypoint = ["/app/jfr_server_linux_amd64"],
exposed_ports = ["8081/tcp"],
tars = [
":jfr_sidecar_binary_layer",
],
workdir = "/app",
)
# Load into Docker locally: bazel run //ci:jfr_sidecar_load
oci_load(
name = "jfr_sidecar_load",
image = ":jfr_sidecar_image",
repo_tags = ["eagle0/jfr-sidecar:latest"],
)
# Push to DigitalOcean Container Registry
oci_push(
name = "jfr_sidecar_push",
image = ":jfr_sidecar_image",
repository = "registry.digitalocean.com/eagle0/jfr-sidecar",
)
+2 -1
View File
@@ -1 +1,2 @@
UNITY_VERSION='6000.3.0f1'
UNITY_VERSION='6000.1.11f1'
-1
View File
@@ -1 +0,0 @@
node_modules/
-46
View File
@@ -1,46 +0,0 @@
# OAuth Relay Worker
Cloudflare Worker that relays OAuth callbacks to the eagle0:// custom URL scheme.
## Why?
Discord (and some other OAuth providers) don't support custom URL schemes as redirect URIs. This worker acts as a relay:
1. Discord redirects to `https://eagle0-oauth-relay.<account>.workers.dev/oauth/callback?code=xxx&state=yyy`
2. Worker responds with 302 redirect to `eagle0://auth/callback?code=xxx&state=yyy`
3. OS opens the Eagle0 app via deep link
## Deploy
1. Install wrangler: `npm install -g wrangler`
2. Login: `wrangler login`
3. Deploy: `wrangler deploy`
The worker will be available at `https://eagle0-oauth-relay.<your-account>.workers.dev`
## Test Locally
```bash
wrangler dev
# Then in another terminal:
curl -I "http://localhost:8787/oauth/callback?code=test&state=abc"
```
## Test Production
```bash
curl -I "https://eagle0-oauth-relay.<your-account>.workers.dev/oauth/callback?code=test&state=abc"
```
Should return:
```
HTTP/2 302
location: eagle0://auth/callback?code=test&state=abc
```
## OAuth Provider Configuration
In Discord Developer Portal / Google Cloud Console, set the redirect URI to:
```
https://eagle0-oauth-relay.<your-account>.workers.dev/oauth/callback
```
-38
View File
@@ -1,38 +0,0 @@
/**
* OAuth Relay Worker
*
* Receives OAuth callbacks from providers (Discord, Google) and redirects
* to the eagle0:// custom URL scheme for the native app to handle.
*
* Input: GET /oauth/callback?code=xxx&state=yyy
* Output: 302 Redirect to eagle0://auth/callback?code=xxx&state=yyy
*/
export default {
async fetch(request) {
const url = new URL(request.url);
// Only handle /oauth/callback path
if (url.pathname !== '/oauth/callback') {
return new Response('Not Found', { status: 404 });
}
// Build the deep link URL
const deepLink = new URL('eagle0://auth/callback');
// Forward all query parameters
const code = url.searchParams.get('code');
const state = url.searchParams.get('state');
const error = url.searchParams.get('error');
const errorDescription = url.searchParams.get('error_description');
if (code) deepLink.searchParams.set('code', code);
if (state) deepLink.searchParams.set('state', state);
if (error) deepLink.searchParams.set('error', error);
if (errorDescription) deepLink.searchParams.set('error_description', errorDescription);
console.log(`OAuth relay: redirecting to ${deepLink.toString()}`);
return Response.redirect(deepLink.toString(), 302);
}
}
-4
View File
@@ -1,4 +0,0 @@
name = "eagle0-oauth-relay"
main = "worker.js"
compatibility_date = "2024-01-01"
workers_dev = true
-154
View File
@@ -1,154 +0,0 @@
# Docker Compose for production deployment
#
# Local testing:
# Build images: bazel run //ci:eagle_server_load && bazel run //ci:shardok_server_load
# Run: docker compose -f docker-compose.prod.yml up
#
# Production deployment:
# Run: docker compose -f docker-compose.prod.yml up -d
services:
eagle:
image: ${EAGLE_IMAGE:-registry.digitalocean.com/eagle0/eagle-server:latest}
container_name: eagle-server
command:
- "--gpt-model-name"
- "${GPT_MODEL_NAME:-gpt-5.1}"
- "--shardok-interface-remote-address"
- "shardok:40042"
ports:
- "40032:40032"
environment:
OPENAI_API_KEY: "${OPENAI_API_KEY:-}"
EAGLE_ENABLE_S3: "${EAGLE_ENABLE_S3:-false}"
DO_SPACES_ENDPOINT: "${DO_SPACES_ENDPOINT:-https://sfo3.digitaloceanspaces.com}"
DO_SPACES_ACCESS_KEY: "${DO_SPACES_ACCESS_KEY:-}"
DO_SPACES_SECRET_KEY: "${DO_SPACES_SECRET_KEY:-}"
JWT_PRIVATE_KEY: "${JWT_PRIVATE_KEY:-}"
DISCORD_CLIENT_ID: "${DISCORD_CLIENT_ID:-}"
DISCORD_CLIENT_SECRET: "${DISCORD_CLIENT_SECRET:-}"
volumes:
- ./saves:/app/saves
- ./jfr:/app/jfr # JFR recordings - dump with: docker exec eagle-server jcmd 1 JFR.dump filename=/app/jfr/profile.jfr
- jvm-tmp:/tmp # Shared with jfr-sidecar for JVM attach socket files
depends_on:
- shardok
restart: unless-stopped
logging:
driver: "json-file"
options:
max-size: "100m"
max-file: "5"
healthcheck:
test: ["CMD-SHELL", "nc -z localhost 40032 || exit 1"]
interval: 30s
timeout: 10s
retries: 3
start_period: 30s
shardok:
image: ${SHARDOK_IMAGE:-registry.digitalocean.com/eagle0/shardok-server:latest}
container_name: shardok-server
mem_limit: 1g
memswap_limit: 1g # Prevent swap, OOM-kill cleanly instead
ports:
- "40042:40042"
- "40052:40052"
environment:
SHARDOK_RESOURCES_PATH: "/app/resources"
SHARDOK_MAPS_PATH: "/app/resources/maps"
SHARDOK_EAGLE_INTERFACE_ADDRESS: "0.0.0.0:40042"
restart: unless-stopped
logging:
driver: "json-file"
options:
max-size: "100m"
max-file: "5"
healthcheck:
test: ["CMD-SHELL", "nc -z localhost 40042 || exit 1"]
interval: 30s
timeout: 10s
retries: 3
start_period: 10s
nginx:
image: nginx:alpine
container_name: nginx
ports:
- "443:443"
- "80:80"
volumes:
- ./nginx/nginx.conf:/etc/nginx/nginx.conf:ro
- ./certbot/conf:/etc/letsencrypt:ro
- ./certbot/www:/var/www/certbot:ro
- ./auth:/etc/nginx/auth:ro
depends_on:
- eagle
restart: unless-stopped
logging:
driver: "json-file"
options:
max-size: "50m"
max-file: "3"
admin:
image: ${ADMIN_IMAGE:-registry.digitalocean.com/eagle0/admin-server:latest}
container_name: admin-server
command:
- "--eagle-addr"
- "eagle:40032"
- "--jfr-sidecar-addr"
- "jfr-sidecar:8081"
- "--http-port"
- "8080"
ports:
- "8080:8080"
depends_on:
- eagle
- jfr-sidecar
restart: unless-stopped
logging:
driver: "json-file"
options:
max-size: "50m"
max-file: "3"
healthcheck:
test: ["CMD-SHELL", "wget -q --spider http://localhost:8080/health || exit 1"]
interval: 30s
timeout: 10s
retries: 3
start_period: 10s
jfr-sidecar:
image: ${JFR_SIDECAR_IMAGE:-registry.digitalocean.com/eagle0/jfr-sidecar:latest}
container_name: jfr-sidecar
# Share PID namespace with Eagle to access its JVM via jcmd
pid: "service:eagle"
volumes:
- jvm-tmp:/tmp # Shared with Eagle for JVM attach socket files
depends_on:
- eagle
restart: unless-stopped
logging:
driver: "json-file"
options:
max-size: "10m"
max-file: "2"
healthcheck:
test: ["CMD-SHELL", "wget -q --spider http://localhost:8081/health || exit 1"]
interval: 30s
timeout: 10s
retries: 3
start_period: 10s
certbot:
image: certbot/certbot
container_name: certbot
volumes:
- ./certbot/conf:/etc/letsencrypt
- ./certbot/www:/var/www/certbot
entrypoint: "/bin/sh -c 'trap exit TERM; while :; do certbot renew; sleep 12h & wait $${!}; done;'"
volumes:
jvm-tmp:
# Shared /tmp for JVM attach socket files between Eagle and jfr-sidecar
-471
View File
@@ -1,471 +0,0 @@
# Admin Server Enhancement Plan
## Overview
This document outlines enhancements to the Go admin server (`src/main/go/net/eagle0/admin_server/`) to provide a proper web UI for game administration.
### Current State
The admin server provides a full web UI with htmx interactivity:
- `GET /` - Redirect to games list
- `GET /games` - Game list page (HTML)
- `GET /games/{id}` - Game detail with action history
- `GET /games/{id}/history` - History rows (htmx partial, infinite scroll)
- `GET /games/{id}/action/{index}` - Action detail (htmx partial)
- `POST /games/{id}/rewind` - Rewind game to target action
- `GET /settings` - Settings list with live search
- `POST /settings/update` - Update setting value
- `GET /health` - Health check (JSON)
- `GET /api/games` - JSON API for programmatic access
- `GET /api/games/{id}/history` - JSON API for history
### Goals
1. **Web UI**: Replace raw JSON with an interactive HTML interface
2. **Settings Management**: View and modify the 275+ game settings at runtime
3. **Game Rewind**: Restore a game to a previous action count
---
## Architecture
### Technology Choice: Go Templates + htmx
**Rationale:**
- Single binary deployment (no separate frontend build)
- htmx provides interactivity without JavaScript framework complexity
- Familiar HTML/CSS, minimal learning curve
- Excellent for admin tools where SEO and bundle size don't matter
**Alternatives Considered:**
- React/Vue SPA: Adds build complexity, separate deployment artifact
- Server-side only: Less interactive, full page reloads
### Directory Structure
```
src/main/go/net/eagle0/admin_server/
├── admin_server.go # Main entry point, HTTP routes
├── handlers/
│ ├── games.go # Game list and detail handlers
│ ├── settings.go # Settings list and update handlers
│ └── rewind.go # Game rewind handlers
├── templates/
│ ├── layout.html # Base layout with nav, htmx includes
│ ├── games/
│ │ ├── list.html # Game list page
│ │ ├── detail.html # Single game view with history
│ │ └── history.html # Partial for history table (htmx)
│ ├── settings/
│ │ ├── list.html # Settings list with search/filter
│ │ └── edit.html # Inline edit partial (htmx)
│ └── rewind/
│ └── confirm.html # Rewind confirmation modal
├── static/
│ ├── style.css # Minimal CSS (Pico CSS or similar)
│ └── htmx.min.js # htmx library
└── BUILD.bazel
```
---
## Feature 1: Web UI
### Routes
| Route | Method | Description |
|-------|--------|-------------|
| `/` | GET | Redirect to `/games` |
| `/games` | GET | Game list page (HTML) |
| `/games/{id}` | GET | Game detail page with history |
| `/games/{id}/history` | GET | History partial (htmx, for infinite scroll) |
| `/api/games` | GET | JSON API (existing, keep for programmatic access) |
| `/api/games/{id}/history` | GET | JSON API (existing) |
### Game List Page
```
┌─────────────────────────────────────────────────────────────┐
│ Eagle Admin [Settings] [Health] │
├─────────────────────────────────────────────────────────────┤
│ │
│ Running Games (3) │
│ │
│ ┌─────────────────────────────────────────────────────┐ │
│ │ Game abc123f Round 45 │ │
│ │ Players: Liu Bei (Human), Cao Cao (AI), Sun Quan │ │
│ │ Actions: 1,234 [View] [Rewind]│ │
│ └─────────────────────────────────────────────────────┘ │
│ │
│ ┌─────────────────────────────────────────────────────┐ │
│ │ Game def456a Round 12 │ │
│ │ Players: Test Player (Human) │ │
│ │ Actions: 456 [View] [Rewind]│ │
│ └─────────────────────────────────────────────────────┘ │
│ │
└─────────────────────────────────────────────────────────────┘
```
### Game Detail Page
Shows game info and scrollable action history:
- **Reverse chronological order**: Most recent actions displayed first
- Each action shows: index, type, round ID
- **Clickable actions**: Clicking an action row expands to show JSON representation of the full action data
- "Rewind to here" button on each action row
- Infinite scroll loads more history via htmx (loading older actions as user scrolls down)
### Implementation Notes
1. **Embed static files**: Use `//go:embed` to bundle templates and static files
2. **Template functions**: Add helpers for formatting (hex IDs, timestamps, action summaries)
3. **CSS framework**: Use Pico CSS (~10KB) for clean defaults without classes
---
## Feature 2: Settings Management
### New gRPC Endpoints (Eagle Server)
Add to `eagle.proto`:
```protobuf
message Setting {
string name = 1;
string type = 2; // "Int" or "Double"
string value = 3; // Current value as string
string default_value = 4; // Default from BUILD.bazel
string description = 5; // Optional, for UI hints
}
message GetSettingsRequest {
string filter = 1; // Optional name filter (substring match)
}
message GetSettingsResponse {
repeated Setting settings = 1;
}
message UpdateSettingRequest {
string name = 1;
string value = 2;
}
message UpdateSettingResponse {
Setting setting = 1; // Updated setting
string error = 2; // Empty on success
}
service Eagle {
// ... existing methods ...
rpc GetSettings(GetSettingsRequest) returns (GetSettingsResponse);
rpc UpdateSetting(UpdateSettingRequest) returns (UpdateSettingResponse);
}
```
### Eagle Server Implementation
Create a settings registry that:
1. Discovers all `IntSetting` and `DoubleSetting` instances via reflection or explicit registration
2. Provides get/set by name
3. Validates types on update
```scala
// src/main/scala/net/eagle0/eagle/library/settings/SettingsRegistry.scala
object SettingsRegistry {
private val settings: Map[String, Either[IntSetting, DoubleSetting]] = Map(
"ActionVigorCost" -> Left(ActionVigorCost),
"BaseFoodBuyPrice" -> Right(BaseFoodBuyPrice),
// ... register all 275 settings
)
def getAll(filter: Option[String]): Seq[Setting] = ...
def get(name: String): Option[Setting] = ...
def update(name: String, value: String): Either[String, Setting] = ...
}
```
**Alternative: Code generation**
Rather than manually registering 275 settings, modify `setting_rule.bzl` to generate a registry file during build.
### Admin Server Routes
| Route | Method | Description |
|-------|--------|-------------|
| `/settings` | GET | Settings list page with search |
| `/settings/{name}` | GET | Single setting detail (htmx partial) |
| `/settings/{name}` | PUT | Update setting value |
| `/api/settings` | GET | JSON API |
| `/api/settings/{name}` | PUT | JSON API |
### Settings UI
```
┌─────────────────────────────────────────────────────────────┐
│ Eagle Admin [Games] [Health] │
├─────────────────────────────────────────────────────────────┤
│ │
│ Settings [Search: __________ ] │
│ │
│ ┌─────────────────────────────────────────────────────┐ │
│ │ ActionVigorCost (Int) │ │
│ │ Current: [15 ] Default: 15 [Save] │ │
│ └─────────────────────────────────────────────────────┘ │
│ │
│ ┌─────────────────────────────────────────────────────┐ │
│ │ BaseFoodBuyPrice (Double) │ │
│ │ Current: [0.5 ] Default: 0.5 [Save] │ │
│ └─────────────────────────────────────────────────────┘ │
│ │
│ ... (275 settings, virtualized/paginated) ... │
│ │
└─────────────────────────────────────────────────────────────┘
```
### Considerations
1. **Persistence**: Settings changes are in-memory only. Document that restarts reset to defaults.
2. **Validation**: Validate numeric ranges where applicable (e.g., percentages 0-100)
3. **Categories**: Consider grouping settings by prefix (AI*, Combat*, Economy*, etc.)
4. **Audit log**: Log setting changes with timestamp for debugging
---
## Feature 3: Game Rewind
### Concept
Restore a game to a previous point in its action history. This is useful for:
- Debugging issues that occurred at a specific point
- Testing "what if" scenarios
- Recovering from bugs that corrupted state
### New gRPC Endpoint
Add to `eagle.proto`:
```protobuf
message RewindGameRequest {
int64 game_id = 1;
int32 target_action_count = 2; // Rewind to state after this many actions
}
message RewindGameResponse {
bool success = 1;
string error = 2;
int32 new_action_count = 3;
int32 disconnected_clients = 4; // Number of clients that were disconnected
}
service Eagle {
// ... existing methods ...
rpc RewindGame(RewindGameRequest) returns (RewindGameResponse);
}
```
### Eagle Server Implementation
The `GameHistory` already stores `ActionWithResultingState` for each action, which includes the `GameState` after that action. Rewinding means:
1. **Validate**: Check that `target_action_count` is within valid range (0 to current count)
2. **Get target state**: Retrieve `GameState` at target action count from history
3. **Disconnect clients**: Close all human player connections (they'll need to reconnect)
4. **Replace engine**: Create new `EngineImpl` with target state and truncated history
5. **Reset AI state**: Clear any cached AI state that depends on current game state
```scala
// GameController.scala (pseudocode)
def rewindTo(targetActionCount: Int): Either[String, RewindResult] = {
if (targetActionCount < 0 || targetActionCount > engine.history.count)
return Left(s"Invalid action count: $targetActionCount")
// Get state at target point
val targetState = engine.history.stateAt(targetActionCount)
val truncatedHistory = engine.history.truncateTo(targetActionCount)
// Disconnect all human clients
val disconnectedCount = humanClients.length
humanClients.foreach(_.disconnect("Game rewound by admin"))
// Create new engine at target state
val newEngine = EngineImpl(
gameId = engine.gameId,
currentState = targetState,
history = truncatedHistory,
// ... other fields
)
// Replace controller's engine
this.engine = newEngine
Right(RewindResult(targetActionCount, disconnectedCount))
}
```
### GameHistory Enhancement
Add method to get state at a specific action count:
```scala
trait GameHistory {
// ... existing methods ...
def stateAt(actionCount: Int): GameState = {
if (actionCount == 0) initialState
else all(actionCount - 1).resultingState
}
def truncateTo(actionCount: Int): GameHistory = {
GameHistoryImpl(
initialState = initialState,
actions = all.take(actionCount)
)
}
}
```
### Admin Server Route
| Route | Method | Description |
|-------|--------|-------------|
| `/games/{id}/rewind` | POST | Rewind game (form: `target_action_count`) |
| `/games/{id}/rewind/confirm` | GET | Confirmation modal (htmx partial) |
### Rewind UI Flow
1. User views game history
2. User clicks "Rewind to here" on an action row
3. Confirmation modal appears via htmx:
```
┌─────────────────────────────────────────┐
│ Rewind Game abc123f? │
│ │
│ This will: │
│ • Restore to action 456 (Round 23) │
│ • Discard 778 subsequent actions │
│ • Disconnect 2 connected players │
│ │
│ This cannot be undone. │
│ │
│ [Cancel] [Rewind] │
└─────────────────────────────────────────┘
```
4. On confirm, POST to `/games/{id}/rewind`
5. Success: redirect to game detail showing new state
6. Error: show error message
### Safety Considerations
1. **No undo**: Rewinding discards history. Consider optional backup before rewind.
2. **Client disconnect**: All connected clients are forcibly disconnected.
3. **AI state**: Ensure AI clients restart cleanly after rewind.
4. **Concurrent access**: Lock game during rewind to prevent race conditions.
5. **Authorization**: In production, require admin authentication.
---
## Implementation Phases
### Phase 1: Web UI Foundation
**Status: Complete**
1. ✅ Set up Go templates with `embed`
2. ✅ Add Pico CSS and htmx
3. ✅ Create base layout with navigation
4. ✅ Convert `/games` to HTML with styling
5. ✅ Add game detail page with history table
6. ✅ Implement htmx infinite scroll for history
7. ✅ Reverse history order (most recent first)
8. ✅ Clickable action rows that expand to show JSON representation
9. ✅ Add `/games/{id}/action/{index}` endpoint for fetching action details
**Deliverable**: Browsable game list and history in HTML with clickable action details
### Phase 2: Settings Management
**Status: Complete**
1. ✅ Add `GetSettings` to `eagle.proto` (uses existing `AddSettings` for updates)
2. ✅ Add `getAllSettings` method to auto-generated `SettingsLoader`
3. ✅ Implement `getSettings` in `EagleServiceImpl`
4. ✅ Create settings list page with live search
5. ✅ Add inline editing with htmx
6. ✅ Modified settings are highlighted
**Deliverable**: View and edit settings via admin UI
### Phase 3: Game Rewind
**Status: Complete**
1. ✅ Add `RewindGame` to `eagle.proto`
2. ✅ Implement `stateAt` and `truncateTo` in `GameHistory`
3. ✅ Implement rewind logic in `Engine` and `GameController`
4. ✅ Add rewind confirmation (htmx `hx-confirm` dialog)
5. ✅ Handle client disconnection gracefully
6. ✅ Add rewind button to history rows
7. ✅ Implement `rewindGame` in `GamesManager` and `EagleServiceImpl`
8. ✅ Add admin server `/games/{id}/rewind` POST handler
9. ✅ Add success/error feedback UI
**Deliverable**: Rewind games to any previous action
### Phase 4: Polish
**Status: Not Started**
#### High Priority
1. **Add tests for rewind functionality**
- `PersistedHistory.truncateTo` (handles complex persisted vs recent logic)
- `InMemoryHistory.truncateTo`
- `EngineImpl.rewindTo`
- `GameController.rewindTo`
- `GamesManager.rewindGame`
2. **Improve action history display**
- Human-readable action type names (e.g., "New Round" instead of "NewRoundAction")
- Show acting faction/province when available
- Action summaries from the `summary` field in `GameHistoryEntry`
#### Medium Priority
3. **Settings improvements**
- Group settings by category prefix (AI*, Combat*, Economy*, etc.)
- Show setting descriptions where available
- Pagination for large settings lists
4. **Error handling improvements**
- Better error messages on failed operations
- Retry logic for transient gRPC failures
#### Low Priority (Nice to Have)
5. **Basic auth** - HTTP Basic Auth or OAuth for production use
6. **Audit logging** - Log admin actions with timestamps
7. **Documentation** - Usage guide, deployment notes
#### Future Considerations
- Game creation from admin UI
- Player management (view connected players, force disconnect)
- Export game history to file
- Metrics/stats dashboard
---
## Security Notes
The admin server is intended for local/trusted network use only. For production:
1. **Do not expose to public internet** without authentication
2. Consider adding HTTP Basic Auth or OAuth
3. Run on internal network or behind VPN
4. Log all admin actions for audit trail
---
## Open Questions
1. **Settings persistence**: Should we add optional persistence to disk/database?
2. **Game snapshots**: Should rewind create a backup first?
3. **Multi-admin**: Need locking if multiple admins access simultaneously?
4. **Shardok settings**: Are there Shardok (C++) settings to expose too?
-280
View File
@@ -1,280 +0,0 @@
# CommandProto Usage Analysis in shardok/ai
This document analyzes all remaining usages of `CommandProto` (protocol buffer representation) in the AI code and identifies opportunities to eliminate proto conversion by using `ShardokCommand` directly.
## Summary
**Total CommandProto usages found:** 42 locations across 9 files
**Eliminated:** 6 usages (14%) - ✅ **Phase 1 Complete**
**Can be eliminated:** ~14 usages (33%)
**Must keep (for now):** ~22 usages (53%)
---
## Files with CommandProto Usage
### 1. AICommandFilter.cpp (6 usages) - ✅ **COMPLETED** (PR #4505)
**Location:** Lines 146, 189, 252, 356, 387, 428
**Original usage:**
```cpp
const auto cmdProto = cmd.GetCommandProto();
if (!cmdProto.has_target()) { ... }
const auto& targetCoords = cmdProto.target();
if (!cmdProto.has_actor()) { ... }
const auto unitId = cmdProto.actor().value();
```
**Replaced with:**
```cpp
const int targetRow = cmd.GetTargetRow();
const int targetCol = cmd.GetTargetColumn();
if (targetRow < 0 || targetCol < 0) {
throw ShardokInternalErrorException("Command missing required target");
}
const Coords targetCoords(targetRow, targetCol);
const int actorId = cmd.GetActorUnitId();
if (actorId < 0) {
throw ShardokInternalErrorException("Command missing required actor");
}
```
**Status:****ELIMINATED** - Replaced with direct accessors + exception handling
**Impact:** Eliminated 6 proto conversions in hot path (command filtering)
**Completed:** Phase 1, PR #4505
---
### 2. ShardokAIClient.cpp (8 usages)
**Location:** Lines 83, 86, 87, 102, 105, 237, 261, 311, 356
**Usage breakdown:**
#### a) Command validation (lines 83-87)
```cpp
void CheckCommand(const CommandProto &realDescriptor, const CommandProto &guessedDescriptor) {
differencer.IgnoreField(CommandProto::descriptor()->FindFieldByNumber(
CommandProto::kFollowUpCommandTypesFieldNumber));
```
**Status:****MUST KEEP** - Uses protobuf reflection for comparison
**Reason:** Comparing proto messages for correctness checking requires proto API
#### b) GetAvailableCommandProtos calls (lines 105, 356)
```cpp
const auto guessedCommands = guessedEngine.GetAvailableCommandProtos(playerId, false);
if (const auto &availableCommands = engine.GetAvailableCommandProtos(playerId, false);
```
**Status:****CAN REPLACE** - Should use `GetAvailableCommandsForAIPlayer()` instead
**Impact:** This is a major conversion point - converts entire command list to protos
**Priority:** HIGH (converts all commands to proto unnecessarily)
#### c) Strategy selector methods (lines 102, 237, 261, 311)
```cpp
const vector<CommandProto> &realAvailableCommands) const -> CommandChoiceResults
```
**Status:****CAN REPLACE** - Depends on fixing strategy selector signatures
**Priority:** MEDIUM (depends on other refactors)
---
### 3. IterativeDeepeningAI.cpp/hpp (4 usages)
**Location:** Lines 41, 272 (cpp), 73, 96 (hpp)
**Current usage:**
```cpp
const std::vector<CommandProto>& commands,
```
**Status:****CAN REPLACE** - These methods should accept `CommandListSPtr` instead
**Impact:** Major - this is the main AI search algorithm
**Priority:** HIGH (core AI algorithm)
**Note:** IterativeDeepeningAI already receives commands as proto vectors. The conversion happens upstream at the entry point. Need to trace back to find where `GetAvailableCommandProtos` is called.
---
### 4. AIFleeDecisionCalculator.cpp/hpp (6 usages)
**Location:** Lines 17, 38, 39, 62, 63 (hpp), 18, 19, 137, 138 (cpp)
**Current usage:**
```cpp
const vector<CommandProto>& availableCommands,
const vector<CommandProto>::const_iterator& fleeCommand,
```
**Status:****CAN REPLACE** - Should use `CommandListSPtr` and indices instead
**Impact:** Flee decision logic could avoid proto conversion
**Priority:** MEDIUM
---
### 5. AIAttackerStrategySelector.cpp/hpp (2 usages)
**Location:** Line 30 in both files
**Current usage:**
```cpp
const vector<CommandProto>& availableCommands) -> AIStrategy
```
**Status:** ⚠️ **PARTIALLY REPLACEABLE** - Currently doesn't use the commands parameter
**Current implementation:**
```cpp
const vector<CommandProto>& /*availableCommands*/) -> AIStrategy {
// Parameter is commented out - not used!
return AIStrategy::DEFAULT;
}
```
**Priority:** LOW (parameter unused, but signature should be consistent)
---
### 6. AICommandEvaluator.hpp (1 usage)
**Location:** Line 27
**Current usage:**
```cpp
using CommandProto = net::eagle0::shardok::api::CommandDescriptor;
```
**Status:** ⚠️ **CHECK USAGE** - Type alias, need to check if used
**Priority:** LOW (just a type alias)
---
### 7. AIScoreCalculator.hpp (1 usage)
**Location:** Line 24
**Current usage:**
```cpp
using CommandProto = net::eagle0::shardok::api::CommandDescriptor;
```
**Status:** ⚠️ **CHECK USAGE** - Type alias, need to check if used
**Priority:** LOW (just a type alias)
---
### 8. AIWaterCrossingCommandChooser.hpp (1 usage)
**Location:** Line 20
**Current usage:**
```cpp
using CommandProto = net::eagle0::shardok::api::CommandDescriptor;
```
**Status:** ⚠️ **CHECK USAGE** - Type alias, need to check if used
**Priority:** LOW (just a type alias)
---
## Key Conversion Points (Entry Points)
### ShardokEngine::GetAvailableCommandProtos()
This method converts the entire command list from `CommandListSPtr` to `vector<CommandProto>`.
**Current flow:**
```
ShardokEngine::GetAvailableCommandsForAIPlayer() → CommandListSPtr
↓ (conversion)
ShardokEngine::GetAvailableCommandProtos() → vector<CommandProto>
AI algorithms (IterativeDeepeningAI, etc.)
```
**Desired flow:**
```
ShardokEngine::GetAvailableCommandsForAIPlayer() → CommandListSPtr
↓ (no conversion!)
AI algorithms use CommandSPtr directly
```
---
## Recommendations by Priority
### HIGH Priority (Performance-critical hot paths)
1. **AICommandFilter.cpp (6 usages)**
- Replace `cmd.GetCommandProto()` with direct accessor methods
- Use `GetActorUnitId()`, `GetTargetRow()`, `GetTargetColumn()`
- Impact: Eliminates 6 proto conversions per filtered command
2. **ShardokAIClient.cpp - GetAvailableCommandProtos calls**
- Replace calls to `GetAvailableCommandProtos()` with `GetAvailableCommandsForAIPlayer()`
- Impact: Eliminates conversion of entire command list
3. **IterativeDeepeningAI**
- Change signature from `vector<CommandProto>` to `CommandListSPtr`
- Impact: Main AI search algorithm avoids proto conversion
### MEDIUM Priority
4. **AIFleeDecisionCalculator**
- Change to use `CommandListSPtr` and indices
- Impact: Flee decision logic avoids proto
5. **ShardokAIClient strategy methods**
- Update signatures to use `CommandListSPtr`
- Cascades to strategy selectors
### LOW Priority
6. **Type aliases**
- Remove unused `using CommandProto` declarations
- Clean up imports
---
## Migration Strategy
### Phase 1: Low-hanging fruit (AICommandFilter) - ✅ **COMPLETED** (PR #4505)
- ✅ Replaced 6 proto conversions with direct accessor calls
- ✅ Added exception handling for missing actor/target data
- ✅ No signature changes needed
- ✅ Immediate performance benefit
- **PR:** #4505
### Phase 2: Entry point (ShardokAIClient)
- Replace `GetAvailableCommandProtos()` calls with `GetAvailableCommandsForAIPlayer()`
- Update method signatures in ShardokAIClient
### Phase 3: Core AI (IterativeDeepeningAI)
- Change IterativeDeepeningAI to accept `CommandListSPtr`
- This is the biggest change but has highest impact
### Phase 4: Supporting systems
- Update AIFleeDecisionCalculator
- Update strategy selectors
- Clean up type aliases
### Phase 5: Validation code
- Keep proto-based validation as-is (uses reflection)
- Consider if validation is still needed in production
---
## Notes
- **MCTS already converted**: The MCTS code path already uses `CommandListSPtr` directly
- **Proto still needed**: For serialization/network communication (not in AI hot path)
- **Validation**: Proto comparison in CheckCommand() should remain (uses proto reflection)
---
## Estimated Impact
**Proto conversions eliminated:** ~20-25 per command choice
**Performance gain:** Eliminates hundreds of allocations per AI decision
**Code simplification:** Removes proto conversion layer from AI
**Before:**
```
Command → Proto → AI Decision
```
**After:**
```
Command → AI Decision (direct)
```
File diff suppressed because it is too large Load Diff
-366
View File
@@ -1,366 +0,0 @@
# Deproto Migration Plan
## Vision
**Protocol buffers should only be used at the edges** — for network serialization (gRPC) and disk persistence. Inside the Eagle game engine, all logic should operate on native Scala models.
```
┌─────────────────────────────────────────────────────────────────────┐
│ GRPC BOUNDARY │
│ EagleServiceImpl.scala ←→ Proto Messages ←→ Unity Client │
└─────────────────────────────────────────────────────────────────────┘
GameStateConverter
┌─────────────────────────────────────────────────────────────────────┐
│ SCALA ENGINE │
│ │
│ GameStateC ───→ Actions ───→ ActionResultT ───→ New GameStateC │
│ ↑ │ │
│ │ (Pure Scala models) │ │
│ └───────────────────────────────────────────────────┘ │
│ │
│ HeroC, FactionC, ProvinceC, BattalionC, ArmyC, etc. │
└─────────────────────────────────────────────────────────────────────┘
GameStateConverter
┌─────────────────────────────────────────────────────────────────────┐
│ PERSISTENCE BOUNDARY │
│ GameHistory.scala ←→ Proto Messages ←→ File/Database │
└─────────────────────────────────────────────────────────────────────┘
```
---
## Current State
### Completed Phases
| Phase | Status | Summary |
|-------|--------|---------|
| Phase 1: GameStateC | **Complete** | Scala `GameState` model with 22 fields |
| Phase 2: EngineImpl | **Complete** | Holds Scala `GameState` internally |
| Phase 3: GameHistory | **Complete** | `stateAfter` returns Scala GameState |
| Phase 4: ActionResultT | **Complete** | All 59 actions return `ActionResultT` |
| Phase 5: Action Base Classes | **Complete** | All `RandomSequentialResultsAction` and `DeterministicSingleResultAction` converted to T-type base classes |
| Phase 5b: Base Class Cleanup | **Complete** | `RandomSequentialResultsAction` and `DeterministicSingleResultAction` deleted |
| Phase 5c: RoundPhaseAdvancer Actions | **Complete** | All actions called by RoundPhaseAdvancer accept Scala GameState |
| Phase 5d: RoundPhaseAdvancer Itself | **Complete** | RoundPhaseAdvancer.checkForPhaseAdvancement takes Scala GameState |
### Phase 5c/5d Progress (Complete)
`RoundPhaseAdvancer.checkForPhaseAdvancement` now accepts Scala `GameState` and `ActionResultApplier` directly (PR #4677).
| Action | PR | Status |
|--------|-----|--------|
| `PrisonerExchangeAction` | #4670 | ✅ Merged |
| `PerformForcedTurnBackAction` | #4671 | ✅ Merged |
| `PerformHeroDeparturesAction` | #4672 | ✅ Merged |
| `RequestFreeForAllBattlesAction` | #4673 | ✅ Merged |
| `EndPlayerCommandsPhaseAction` | #4674 | ✅ Merged |
| `EndDiplomacyResolutionPhaseAction` | #4675 | ✅ Merged |
| `RoundPhaseAdvancer` itself | #4677 | ✅ Merged |
### EngineImpl Progress
| Change | PR | Status |
|--------|-----|--------|
| `recursiveTransform` deleted | #4677 | ✅ Merged |
| `recursiveTransformT` uses `RandomStateTSequencer` | #4677 | ✅ Merged |
### Current Architecture
**ActionResultT Production (100% Complete):**
- All actions produce `ActionResultT`
- Conversion to `ActionResultProto` happens via `ActionResultProtoConverter.toProto()`
- No direct `ActionResultProto` construction outside the converter
**ActionResultProto Consumption (Next Target):**
- `ActionResultProtoApplierImpl` - applies proto results to proto GameState
- `RoundPhaseAdvancer` - calls converter, passes protos to applier
- `InMemoryHistory` / `PersistedHistory` - stores proto results
- Service layer (`GameController`, `GamesManager`, etc.) - uses proto for client communication
---
## Phase 6: Migrate to ActionResultT Consumers
### Objective
Eliminate internal consumption of `ActionResultProto`. Everything inside the engine should work with `ActionResultT`.
### Current Flow (Proto-Heavy)
```
Action.execute()
→ ActionResultT
→ ActionResultProtoConverter.toProto()
→ ActionResultProto
→ ActionResultProtoApplierImpl.applyActionResults()
→ GameStateProto
→ GameStateConverter.fromProto()
→ GameStateC
```
### Target Flow (T-Types Throughout)
```
Action.execute()
→ ActionResultT
→ ActionResultApplier.applyActionResults()
→ GameStateC
(Proto conversion only at boundaries)
```
### Key Files to Convert
**Tier 1 - Core Applier:****Complete**
```
src/main/scala/net/eagle0/eagle/library/actions/applier/ActionResultApplierImpl.scala
```
`ActionResultApplier` applies `ActionResultT` directly to Scala `GameState`. The legacy `ActionResultTApplierImpl` wraps it and converts to/from proto for callers that still need proto types.
**Tier 2 - RoundPhaseAdvancer:****Complete**
```
src/main/scala/net/eagle0/eagle/library/RoundPhaseAdvancer.scala
```
Now accepts Scala `GameState` and `ActionResultApplier`. Only converts to proto lazily for `AvailableCommandsFactory` calls.
**Tier 3 - Sequencers:**
```
src/main/scala/net/eagle0/eagle/library/actions/impl/common/RandomStateTSequencer.scala
src/main/scala/net/eagle0/eagle/library/actions/impl/common/RandomStateProtoSequencer.scala
```
Modify `RandomStateTSequencer` to thread Scala `GameState` throughout (currently converts to proto internally). Then evaluate whether `RandomStateProtoSequencer` is still needed at all.
**Current State**: `RandomStateTSequencer` accepts Scala `GameState` via its `apply()` method but internally converts to proto. All callback methods (`withRandomActionResult`, `withActionResults`, etc.) pass `GameStateProto` to callers, forcing actions that use the sequencer to work with proto types internally.
**Target State**: Create a fully protoless sequencer where:
1. `lastState` returns Scala `GameState` (not `lastStateProto`)
2. All callback methods pass Scala `GameState` to callers
3. Actions using the sequencer can be fully protoless
**Migration Path**:
1. Add `lastState: GameState` method alongside `lastStateProto` (non-breaking)
2. Add parallel callback methods that pass Scala GameState (e.g., `withScalaActionResult`)
3. Migrate actions one by one to use the new Scala-based callbacks
4. Once all actions migrated, deprecate/remove proto-based callbacks
5. Remove `lastStateProto` once no longer used
**RandomStateSequencer Migration Progress** (PR #4679 introduced protoless `RandomStateSequencer`):
| Action | Status |
|--------|--------|
| `TruceTurnBackPhaseAction` | ✅ Migrated (PR #4680) |
| `EndHandleRiotsPhaseAction` | ✅ Migrated (PR #4684) |
| `PerformVassalCommandsPhaseAction` | ✅ Migrated |
| `PerformVassalDefenseDecisionsAction` | ✅ Migrated |
| `EndVassalCommandsPhaseAction` | ✅ Migrated |
| `PerformReconResolutionAction` | ✅ Migrated |
| `NewRoundAction` | ✅ Migrated (PR #4698) |
| `EndBattleAftermathPhaseAction` | ✅ Migrated (PR #4699) |
| `EndDiplomacyResolutionPhaseAction` | ✅ Migrated |
| `PerformUnaffiliatedHeroesAction` | ✅ Migrated |
| `EngineImpl.recursiveTransformT` | ✅ Migrated (PR #4704) |
| `ProtolessSequentialResultsActionWrapper` | ✅ Migrated (PR #4705) |
| `LegacyRandomStateTSequencer` | ✅ **Deleted** (PR #4705) |
**TCommandFactory Extraction** (PR #4684):
To enable lightweight mocking of command creation in tests, `TCommandFactory` trait was extracted from `CommandFactory`. This allows tests to mock just the `makeTCommand` method without pulling in all 40+ command dependencies that `CommandFactory` requires.
- `TCommandFactory` - lightweight trait with just `makeTCommand`
- `CommandFactory extends TCommandFactory` - maintains backward compatibility
- Actions accepting command factories now use `TCommandFactory` type for better testability
**Tier 4 - History APIs:**
```
src/main/scala/net/eagle0/eagle/service/InMemoryHistory.scala
src/main/scala/net/eagle0/eagle/service/PersistedHistory.scala
```
Change APIs to vend Scala `GameState` and `ActionResultT` instead of proto versions. `PersistedHistory` converts to proto internally for disk persistence; `InMemoryHistory` doesn't need proto at all.
### ActionResultProto Consumer Inventory
| File | Usage | Status |
|------|-------|--------|
| `ActionResultApplierImpl.scala` | Applies ActionResultT to Scala GameState | ✅ **Complete** |
| `ActionResultTApplierImpl.scala` | Legacy wrapper - converts to/from proto | Keep until all callers migrated |
| `RoundPhaseAdvancer.scala` | Uses Scala GameState | ✅ **Complete** |
| `RandomStateSequencer.scala` | Threads Scala GameState | ✅ **Complete** |
| `VigorXPApplier.scala` | Has both proto and Scala methods | Scala method exists, delete proto method when unused |
| `PerformForcedTurnBackAction.scala` | Fully protoless | ✅ **Complete** |
| `ResolveBattleAction.scala` | Heavy proto usage | Blocked by proto dependencies |
| `InMemoryHistory.scala` | Stores proto results | Pending - vend Scala types |
| `PersistedHistory.scala` | Stores proto results | Pending - vend Scala types, convert for disk |
| `GameController.scala` | Uses proto for client communication | Keep proto (gRPC boundary) |
### Remaining Proto Usage in Actions
**Progress: 47 of 52 action files (90%) are fully protoless.**
The following 5 actions still have proto usage:
| Action | Proto Usages | Blocker | Effort |
|--------|--------------|---------|--------|
| `ResolveBattleAction` | 24 | Shardok interface, complex battle logic | High |
| `PerformVassalCommandsPhaseAction` | 3 | `CommandChoiceHelpers` takes proto GameState | Medium |
| `EndHandleRiotsPhaseAction` | 2 | `CommandChoiceHelpers` takes proto GameState | Medium |
| `PerformVassalDefenseDecisionsAction` | 2 | `CommandChoiceHelpers` takes proto GameState | Medium |
| `EndVassalCommandsPhaseAction` | 1 | `CommandChoiceHelpers` takes proto GameState | Medium |
**Note:** `NewRoundAction` is now fully protoless after converting `ChronicleEventGenerator` to return Scala `ChronicleEvent` types directly.
**Deleted Dead Code:**
- `UnaffiliatedHeroMovedAction` - Was never called; `PerformUnaffiliatedHeroesAction.heroMovedResult` constructs `ActionResultC` directly
- `HeroBackstoryUpdateActionGenerator.fromGameState` - Dead method that converted proto to Scala; only `apply(GameState)` is used
**Note**: `PerformReconResolutionAction` and `EndBattleAftermathPhaseAction` are now fully protoless after:
1. Migrating `FactionT.reconnedProvinces` and `ChangedFactionC.updatedReconnedProvinces` to use Scala `ProvinceView`
2. Adding Scala overload of `ProvinceViewFilter.withdrawnFromProvinceView`
### Estimated Effort (Remaining)
| Component | Lines | Complexity | Blocks |
|-----------|-------|------------|--------|
| `CommandChoiceHelpers` to Scala | ~2000 | High | 4 vassal actions |
| `ResolveBattleAction` refactor | ~500 | High | 1 action (complex) |
| History API updates | ~100 | Low | - |
| **Total Remaining** | **~2600** | | |
**Completed:**
- `ChronicleEventGenerator` converted to return Scala `ChronicleEvent` types directly
### CommandChoiceHelpers Migration Status
Several command selectors have already been converted to use Scala types:
| File | Status | Notes |
|------|--------|-------|
| `AttackCommandChooser.scala` | ✅ **Protoless** | Uses Scala `GameState`, `HeroT`, `ProvinceT` |
| `AlmsCommandSelector.scala` | ✅ **Protoless** | Uses Scala `GameState`, `HeroT`, `ProvinceT` |
| `FoodConsumptionUtils.scala` | ✅ **Protoless** | Uses Scala `GameState`, `ProvinceT`, `RoundPhase` |
| `MarchSuppliesHelpers.scala` | ✅ **Protoless** | Uses `BattalionT` |
| `CombatUnitSelector.scala` | ✅ **Protoless** | Uses `HeroT`, `BattalionT`, `BattalionType` |
| `ExpandCommandSelector.scala` | ✅ **Protoless** | Uses Scala `GameState`, `ProvinceT`, `FactionT` |
| `ImproveCommandSelector.scala` | ✅ **Protoless** | Uses Scala `GameState`, `ProvinceT`, `HeroT` |
| `OrganizeCommandSelector.scala` | ✅ **Protoless** | Uses Scala `GameState`, `BattalionT`, `BattalionType` |
| `RansomOfferHelpers.scala` | ✅ **Protoless** | Uses Scala `GameState`, `FactionT` |
| `CommandChoiceHelpers.scala` | ❌ Proto | Main entry point, converts to Scala when calling converted selectors |
| `ProvinceGoldSurplusCalculator.scala` | **Partial** | Has both Scala and proto overloads |
| Other selectors | ❌ Proto | Various proto dependencies |
**Pattern**: `CommandChoiceHelpers` currently uses `GameStateConverter.fromProto(gameState)` when calling already-converted selectors like `AlmsCommandSelector` and `AttackCommandChooser`. This allows incremental migration.
**Next Steps**:
1. ~~Convert `ExpandCommandSelector` to Scala types~~ ✅ Done
2. ~~Convert `ImproveCommandSelector` to Scala types~~ ✅ Done
3. ~~Convert `OrganizeCommandSelector` to Scala types~~ ✅ Done (PR #4812)
4. ~~Convert `RansomOfferHelpers` to Scala types~~ ✅ Done (PR #4821)
5. Convert remaining selectors one at a time
6. Update `CommandChoiceHelpers` to accept Scala `GameState` once all selectors are converted
### Progress Summary
| Metric | Value |
|--------|-------|
| Action files fully protoless | 47 / 52 (90%) |
| Proto usages in remaining actions | 32 total |
| Biggest blocker | `ResolveBattleAction` (24 usages) |
| Second biggest blocker | `CommandChoiceHelpers` (blocks 4 actions) |
### Validation
- [x] `ActionResultApplier` created and tested
- [x] `RandomStateSequencer` threads Scala GameState throughout
- [x] `RoundPhaseAdvancer` uses T-types internally
- [x] `ProvinceViewFilter` has Scala overload for server-side use (PR #4752)
- [x] `FactionT.reconnedProvinces` and `ChangedFactionC.updatedReconnedProvinces` use Scala `ProvinceView`
- [x] `ProvinceViewFilter.withdrawnFromProvinceView` has Scala overload
- [ ] `ProvinceViewFilter` faction-filtered views use Scala types
- [ ] `CommandChoiceHelpers` uses Scala types
- [ ] History APIs vend Scala types
- [ ] No `ActionResultProtoConverter.toProto()` calls except at persistence/gRPC boundaries
- [ ] All tests pass
---
## Phase 7: Clean Up Legacy Utilities
### Objective
Remove remaining direct proto imports from utility classes.
### Files to Modify
| File | Status |
|------|--------|
| `CommandChoiceHelpers.scala` | Accepts proto `GameState`; blocks full deproto of `PerformVassalCommandsPhaseAction` and `PerformVassalDefenseDecisionsAction` |
| `LegacyProvinceUtils.scala` | Replace with `ProvinceUtils.scala` - `hasImminentRiot` added (PR #4683) |
| `LegacyFactionUtils.scala` | Replace proto imports with `FactionT` |
| `LegacyUnaffiliatedHeroUtils.scala` | Replace proto imports with Scala models |
| `BattalionTypeLoader.scala` | Keep proto for file loading, convert immediately after |
| `BeastUtils.scala` | **Complete** - now uses Scala `BeastInfo` only |
### View Filters (Partially Complete)
The view filter utilities now have Scala overloads for server-side use:
| File | Status | Notes |
|------|--------|-------|
| `ProvinceViewFilter.scala` | **Partial** | `filteredProvinceView(ProvinceT, ScalaGameState)` added (PR #4752) |
| `ArmyFilter.scala` | **Partial** | `filterArmy(ScalaArmy, Map[BattalionId, BattalionT], Option[FactionId])` added |
| `BattalionViewFilter.scala` | **Complete** | Uses Scala `BattalionT` throughout |
| `GameStateViewFilter.scala` | Pending | Uses proto types throughout |
| `GameStateViewDiffer.scala` | Pending | Works with view protos |
**Unblocked Actions** (PR #4752):
- `EndBattleAftermathPhaseAction` - can now use `filteredProvinceView(province, scalaGameState)`
- `PerformReconResolutionAction` - can now use Scala overload
- `GameStateFactionExtensions` - can now use `updatedReconnedProvinces` with Scala types
**Remaining Work**:
- Faction-filtered `filteredProvinceView(Province, GameState, FactionId)` still uses proto types
- `withdrawnFromProvinceView` still uses proto types
- These are needed for client-facing views with visibility restrictions
---
## Phase 8: Verify Boundaries
### Objective
Confirm protos are used correctly at boundaries — and ONLY there.
### Expected Proto Usage (Keep)
- `EagleServiceImpl.scala` - gRPC boundary
- `InMemoryHistory.scala` / `PersistedHistory.scala` - Persistence boundary
- `*Converter.scala` - Explicit conversion utilities
- `*Loader.scala` - File loading utilities
### Expected No Proto Usage (Verify)
- `/library/actions/impl/` - Pure Scala models
- `/library/util/` - Pure Scala models (except loaders)
- `/model/state/` - Pure Scala models
---
## Open Questions
1. **Persistence Format**: Currently game state is persisted as proto. Should we keep proto for persistence (good for schema evolution) or switch to a different format?
2. **Shardok Integration**: `ResolveBattleAction` communicates with Shardok. Should the Shardok interface use protos (external service) or Scala models?
3. **View Generation**: `GameStateViewDiffer` works with view protos for client updates. Views need Scala models (`ProvinceViewT`, etc.) to allow actions like `EndBattleAftermathPhaseAction` to be fully protoless. The Scala views would be converted to proto only at the gRPC boundary when sending updates to clients.
---
## Success Criteria
### Code Quality
- [ ] Zero proto imports in `/library/actions/` (except boundaries)
- [ ] Zero proto imports in `/library/` utilities (except loaders)
- [ ] `GameStateT` used throughout engine internals
- [ ] Proto usage limited to: `EagleServiceImpl`, loaders, converters, persistence
### Architecture
- [ ] Clear separation: Scala models (internal) vs Proto (boundaries)
- [ ] Converters as the only bridge between domains
- [ ] No "proto creep" into business logic
-189
View File
@@ -1,189 +0,0 @@
# Discord + Google OAuth Implementation Plan
## Overview
Replace HTTP Basic Auth with OAuth 2.0 (Discord + Google) for Eagle0. Users authenticate via system browser, receive JWT tokens, and choose their own display names.
## Architecture
```
Unity Client Eagle Server
| |
| 1. Click "Login with Discord/Google" |
| -------------------------------------------------> |
| GetOAuthUrl(provider) -> auth_url + state |
| |
| 2. Open system browser -> OAuth consent |
| 3. User authenticates with provider |
| 4. Redirect to eagle0://auth/callback?code=xxx |
| |
| 5. ExchangeCode(code, state) |
| -------------------------------------------------> |
| Exchange code with provider |
| Fetch user info (id, email, avatar) |
| Create/update user record |
| Issue JWT + refresh token |
| <------------------------------------------------- |
| (jwt, refresh_token, user_info, is_new_user) |
| |
| 6. [If new user] SetDisplayName(name) |
| -------------------------------------------------> |
| |
| 7. Subsequent gRPC calls |
| Authorization: Bearer <jwt> |
| -------------------------------------------------> |
```
## Key Design Decisions
| Decision | Choice | Rationale |
|----------|--------|-----------|
| OAuth flow | System browser + deep link | Secure, supports password managers |
| Code exchange | Eagle server directly | No separate auth service needed |
| JWT signing | RS256 (asymmetric) | Future flexibility for token verification |
| User storage | Protobuf file via Persister | Consistent with existing patterns |
| Token expiry | 7-day access, 30-day refresh | Balance security and gaming UX |
## Implementation Phases
### Phase 1: Proto Definitions & Infrastructure
**New files:**
- `src/main/protobuf/net/eagle0/eagle/api/auth.proto` - Auth API messages
- `src/main/protobuf/net/eagle0/eagle/internal/user.proto` - User storage schema
**Key proto messages:**
```protobuf
// API
GetOAuthUrlRequest/Response // Get OAuth URL to open in browser
ExchangeCodeRequest/Response // Exchange auth code for JWT
SetDisplayNameRequest/Response // Set user's display name
RefreshTokenRequest/Response // Refresh expired access token
// Internal storage
User // user_id, display_name, oauth_identities
UserDatabase // All users + indexes for lookup
```
### Phase 2: Eagle Server Auth Services
**New Scala files:**
- `src/main/scala/net/eagle0/eagle/auth/OAuthConfig.scala` - Discord/Google config from env vars
- `src/main/scala/net/eagle0/eagle/auth/JwtService.scala` - JWT creation/validation (RS256)
- `src/main/scala/net/eagle0/eagle/auth/UserService.scala` - User CRUD, display name validation
- `src/main/scala/net/eagle0/eagle/auth/OAuthService.scala` - OAuth code exchange
- `src/main/scala/net/eagle0/eagle/service/AuthServiceImpl.scala` - gRPC service implementation
**Modify:**
- `src/main/scala/net/eagle0/eagle/service/AuthorizationInterceptor.scala`
- Replace Basic Auth parsing with JWT validation
- Skip auth for public endpoints (GetOAuthUrl, ExchangeCode, RefreshToken)
- `src/main/scala/net/eagle0/eagle/service/AuthorizationUtils.scala`
- Change context keys from `userName` to `userId` + `displayName`
- `src/main/scala/net/eagle0/eagle/service/Main.scala`
- Wire up new auth services and JWT key loading
### Phase 3: Unity Client OAuth Flow
**New C# files:**
- `Assets/Auth/OAuthManager.cs` - OAuth flow + deep link handling
- `Assets/Auth/TokenStorage.cs` - Secure token persistence
- `Assets/Auth/AuthClient.cs` - gRPC client for auth service
**Modify:**
- `Assets/EagleConnection.cs`
- Replace `AuthInterceptor` (Basic Auth) with `JwtAuthInterceptor` (Bearer token)
- `Assets/ConnectionHandler/ConnectionHandler.cs`
- Replace username/password UI with Discord/Google login buttons
- Add display name setup flow for new users
### Phase 4: Platform Configuration
**Deep link registration:**
- iOS: Add `eagle0://` to CFBundleURLSchemes in Info.plist
- Android: Add intent-filter for `eagle0://auth` in AndroidManifest.xml
- Desktop: Register URL scheme (Windows registry / macOS plist)
**OAuth provider setup:**
1. Discord Developer Portal: Create app, add redirect URI `eagle0://auth/callback`
2. Google Cloud Console: Create OAuth client, add redirect URI
**Environment variables (server):**
```
DISCORD_CLIENT_ID
DISCORD_CLIENT_SECRET
GOOGLE_CLIENT_ID
GOOGLE_CLIENT_SECRET
JWT_PRIVATE_KEY_PATH
JWT_PUBLIC_KEY_PATH
```
### Phase 5: Testing
**Unit tests:**
- `JwtServiceSpec.scala` - Token creation/validation
- `UserServiceSpec.scala` - Display name validation, uniqueness
- `OAuthServiceSpec.scala` - OAuth flow with mocked providers
**Integration tests:**
- Full OAuth flow with mock provider
- JWT validation in AuthorizationInterceptor
- gRPC calls with valid/invalid tokens
**Manual testing:**
- [ ] Discord login (Windows, macOS)
- [ ] Google login (Windows, macOS)
- [ ] Deep link callback works
- [ ] Display name validation
- [ ] Session persistence across restarts
- [ ] Token refresh
## Files Summary
### Create
| File | Purpose |
|------|---------|
| `src/main/protobuf/net/eagle0/eagle/api/auth.proto` | Auth API definitions |
| `src/main/protobuf/net/eagle0/eagle/internal/user.proto` | User storage schema |
| `src/main/scala/net/eagle0/eagle/auth/OAuthConfig.scala` | Provider config |
| `src/main/scala/net/eagle0/eagle/auth/JwtService.scala` | JWT handling |
| `src/main/scala/net/eagle0/eagle/auth/UserService.scala` | User management |
| `src/main/scala/net/eagle0/eagle/auth/OAuthService.scala` | OAuth flow |
| `src/main/scala/net/eagle0/eagle/service/AuthServiceImpl.scala` | gRPC service |
| `Assets/Auth/OAuthManager.cs` | Unity OAuth manager |
| `Assets/Auth/TokenStorage.cs` | Token storage |
| `Assets/Auth/AuthClient.cs` | Auth gRPC client |
### Modify
| File | Changes |
|------|---------|
| `AuthorizationInterceptor.scala` | Basic Auth -> JWT validation |
| `AuthorizationUtils.scala` | userName -> userId + displayName |
| `Main.scala` | Wire auth services |
| `EagleConnection.cs` | AuthInterceptor -> JwtAuthInterceptor |
| `ConnectionHandler.cs` | Login UI -> OAuth buttons + display name |
### Delete
- nginx htpasswd configuration (no longer needed)
## Security Considerations
1. **State parameter** - CSRF protection in OAuth flow
2. **PKCE** - Consider adding for mobile (enhancement)
3. **Secure storage** - Use Keychain (iOS) / Keystore (Android) for tokens
4. **Token refresh** - 7-day access tokens with 30-day refresh
5. **Rate limiting** - Limit login attempts per IP
## Dependencies to Add
**Scala (MODULE.bazel):**
- JWT library (e.g., `jwt-scala` or `nimbus-jose-jwt`)
- HTTP client (e.g., `sttp` for OAuth requests)
**Unity:**
- Deep linking is built-in (Unity 2021+)
- No additional packages required
## Rollback Plan
Keep Basic Auth code in a feature branch. Both auth methods can coexist during transition via feature flag if needed.
File diff suppressed because it is too large Load Diff
-305
View File
@@ -1,305 +0,0 @@
# Actions and Commands Model Usage Analysis
This document analyzes all actions and commands in `src/main/scala/net/eagle0/eagle/library/actions/impl` to determine which use Scala models vs protobuf models, based on BUILD.bazel dependencies.
**Legend:**
-**Scala Models Only** - Uses only `//src/main/scala/net/eagle0/eagle/model` dependencies
-**Uses Protobuf** - Has dependencies on `//src/main/protobuf` targets
- 🔄 **Partial Conversion** - Conversion attempted but blocked by dependencies
## Summary
Based on BUILD.bazel dependency analysis (2025-09-16, updated 2025-09-17):
- **Total Commands Analyzed:** 41
- **Commands Fully Migrated (No Protobuf):** 41 (100%) ✅
- **Commands Still Using Protobuf:** 0 (0%) ✅
- **Total Actions Analyzed:** 48
- **Actions Fully Migrated (No Protobuf):** 5 (10.4%)
- **Actions Partially Migrated:** 19 (39.6%)
- **Actions Still Using Protobuf:** 24 (50%)
- **Base Classes:** 8 protoless variants available, 6 still use protobuf
- **Shared Components:** `ResolvedEagleUnit` migrated to use `Option[BattalionT]` for proper null handling
## Conversion Insights
Based on conversion attempt of `ResolveTruceOfferCommand` (see [PR #4379](https://github.com/nolen777/eagle0/pull/4379)):
### Key Challenges Discovered
1. **LLM Integration Dependencies**: Commands that use `DiplomacyResolutionLlmRequestGenerator` face challenges because the LLM system still expects protobuf enum types, not Scala model enums.
2. **Inconsistent Package Naming**: Some files have inconsistent package declarations vs BUILD file locations (e.g., `generated_text_request_generators` in package vs `llm_request_generators` in BUILD).
3. **Model Constructor Differences**: Scala model constructors (e.g., `TruceOffer`) have different required parameters than their protobuf counterparts, requiring more complex data mapping.
4. **Type System Complexity**: Union types and type constraints become more complex when mixing protobuf and Scala model types during transition.
5. **Cascading Dependency Issues**: Converting to `ActionResultC` requires extensive trait dependencies (`ChangedBattalionT`, `ChangedHeroT`, `GeneratedTextRequestT`, etc.) that create complex BUILD dependency graphs, unlike simple protobuf `ActionResult`.
6. **BUILD Complexity**: Each Scala model conversion requires significantly more BUILD dependencies than protobuf equivalents, making incremental conversion difficult.
7. **Build Verification Critical**: Any conversion must maintain working build state - even simple commands like `DefendCommand` can break main server build due to dependency cascades.
### Successful Conversion Elements
- ✅ Base class conversion (`SimpleAction``ProtolessSimpleAction`)
- ✅ Import updates for most Scala model types
- ✅ BUILD.bazel dependency updates for core action result types
- ✅ Basic type conversions for simple cases
### Recommended Conversion Strategy
1. **Architecture-First Approach**: Convert base infrastructure (LLM generators, action result builders) before individual commands
2. **Wrapper Pattern**: Use existing `Protoless*ActionWrapper` classes as templates for gradual transition
3. **Dependency Analysis**: Map full dependency trees before attempting conversions to avoid cascading build failures
4. **Batch Conversions**: Convert related commands together to minimize dependency conflicts
5. **Build Verification**: **ALWAYS** verify `//src/main/scala/net/eagle0/eagle:eagle_server` and test suite build before creating PRs
### Conversion Requirements
**Before creating any PR:**
-`bazel build //src/main/scala/net/eagle0/eagle:eagle_server` succeeds
-`bazel test //src/test/scala/... --keep_going` passes (or doesn't introduce new failures)
- ✅ All BUILD dependencies are correctly specified
- ✅ Scalafmt and other linters pass
---
## Common Base Classes
| File | Type | Model Usage | Notes |
|------|------|-------------|-------|
| Action.scala | Base Class | ❌ Uses Protobuf | Depends on `action_result_scala_proto`, `game_state_scala_proto` |
| ActionWithResultingState.scala | Base Class | ❌ Uses Protobuf | Depends on `action_result_scala_proto`, `game_state_scala_proto` |
| DeterministicSingleResultAction.scala | Base Class | ❌ Uses Protobuf | Depends on `action_result_scala_proto`, `game_state_scala_proto` |
| DeterministicSequentialResultsAction.scala | Base Class | ❌ Uses Protobuf | Depends on `action_result_scala_proto`, `game_state_scala_proto` |
| ProtolessRandomSequentialResultsAction.scala | Base Class | ✅ Scala Models Only | Uses `//src/main/scala/net/eagle0/eagle/model/action_result` |
| ProtolessRandomSimpleAction.scala | Base Class | ✅ Scala Models Only | Uses `//src/main/scala/net/eagle0/eagle/model/action_result` |
| ProtolessSequentialResultsAction.scala | Base Class | ✅ Scala Models Only | Uses `//src/main/scala/net/eagle0/eagle/model/action_result` |
| ProtolessSimpleAction.scala | Base Class | ✅ Scala Models Only | Uses `//src/main/scala/net/eagle0/eagle/model/action_result` |
| RandomSequentialResultsAction.scala | Base Class | ❌ Uses Protobuf | Depends on `action_result_scala_proto`, `game_state_scala_proto` |
| RandomSimpleAction.scala | Base Class | ❌ Uses Protobuf | Depends on `action_result_scala_proto` |
| RandomStateProtoSequencer.scala | Sequencer | ❌ Uses Protobuf | Bridge class, depends on both protobuf and Scala models |
| RandomStateTSequencer.scala | Sequencer | ❌ Uses Protobuf | Bridge class, depends on both protobuf and Scala models |
| SimpleAction.scala | Base Class | ❌ Uses Protobuf | Depends on `action_result_scala_proto` |
| VigorXPApplier.scala | Utility | ❌ Uses Protobuf | Depends on `action_result_scala_proto` |
---
## Actions
### ✅ Fully Migrated Actions (No Protobuf Dependencies)
These actions have been successfully migrated to use Scala models only:
| File | Base Class | Notes |
|------|------------|-------|
| HeroBackstoryUpdateAction.scala | ProtolessSequentialResultsAction | Processes hero backstory updates with LLM integration |
| ProvinceConqueredAction.scala | ProtolessSimpleAction | Uses component-based design (gameId, currentRoundId, currentDate, Scala models) |
| ProvinceHeldAction.scala | ProtolessSimpleAction | Uses specific components (gameId, currentRoundId, defendingProvince, etc.) instead of full GameState |
| UnaffiliatedHeroAppearedAction.scala | ProtolessSimpleAction | Handles unaffiliated hero appearance with name generation |
| WithdrawnArmiesReturnHomeAction.scala | ProtolessSequentialResultsAction | Manages army withdrawal and return mechanics |
### 🔄 Actions Partially Migrated (Using Protoless Base Classes)
These actions use protoless base classes but still have some protobuf dependencies:
| File | Model Usage | Notes |
|------|-------------|-------|
| CheckForFactionChangesAction.scala | ProtolessSequentialResultsAction | Still has some protobuf dependencies |
| CheckForFailedQuestsAction.scala | ProtolessSequentialResultsAction | Depends on `unaffiliated_hero_quest_scala_proto` |
| CheckForFulfilledQuestsAction.scala | ProtolessSequentialResultsAction | Depends on multiple protobuf targets |
| EndAttackDecisionPhaseAction.scala | ProtolessSequentialResultsAction | Depends on multiple protobuf targets |
| EndBattleAftermathPhaseAction.scala | ProtolessSequentialResultsAction | Depends on multiple protobuf targets |
| EndFreeForAllDecisionPhaseAction.scala | ProtolessSequentialResultsAction | Depends on multiple protobuf targets |
| EndPlayerCommandsPhaseAction.scala | ProtolessSequentialResultsAction | Depends on multiple protobuf targets |
| EndUnaffiliatedHeroActionsPhaseAction.scala | ProtolessSequentialResultsAction | Depends on multiple protobuf targets |
| EndVassalCommandsPhaseAction.scala | ProtolessSequentialResultsAction | Depends on multiple protobuf targets |
| FreeForAllDrawAction.scala | ProtolessSimpleAction | Depends on multiple protobuf targets |
| FriendlyMoveAction.scala | ProtolessSimpleAction | Depends on multiple protobuf targets |
| PerformUncontestedConquestAction.scala | ProtolessSequentialResultsAction | Depends on multiple protobuf targets |
| ProvinceConqueredAction.scala | ProtolessSimpleAction | **CONVERTED** - Uses specific components (gameId, currentRoundId, currentDate, Scala models) |
| SafePassageArmiesProceedAction.scala | ProtolessSequentialResultsAction | Depends on multiple protobuf targets |
| ShipmentArrivedAction.scala | ProtolessSimpleAction | Depends on multiple protobuf targets |
| TruceTurnBackPhaseAction.scala | ProtolessSequentialResultsAction | Depends on multiple protobuf targets |
| UnaffiliatedHeroRejoinedAction.scala | ProtolessSimpleAction | Depends on multiple protobuf targets |
| WonFreeForAllAction.scala | ProtolessSimpleAction | Depends on multiple protobuf targets |
### ❌ Actions Still Using Protobuf (Not Yet Using Protoless Base Classes)
| File | Notes |
|------|-------|
| ChronicleEventGenerator.scala | Depends on multiple protobuf targets |
| EndBattleRequestPhaseAction.scala | Depends on `diplomacy_offer_status_scala_proto` |
| EndBattleResolutionPhaseAction.scala | Depends on multiple protobuf targets |
| EndDefenseDecisionPhaseAction.scala | Depends on multiple protobuf targets |
| EndDiplomacyResolutionPhaseAction.scala | Depends on multiple protobuf targets |
| EndFreeForAllBattleRequestPhaseAction.scala | Depends on multiple protobuf targets |
| EndFreeForAllBattleResolutionPhaseAction.scala | Depends on multiple protobuf targets |
| EndHandleRiotsPhaseAction.scala | Depends on multiple protobuf targets |
| EndPleaseRecruitMePhaseAction.scala | Depends on multiple protobuf targets |
| EndProvinceMoveResolutionPhaseAction.scala | Depends on multiple protobuf targets |
| NewRoundAction.scala | Depends on multiple protobuf targets |
| NewYearAction.scala | Depends on multiple protobuf targets |
| PerformFoodConsumptionPhaseAction.scala | Depends on multiple protobuf targets |
| PerformForcedTurnBackAction.scala | Depends on multiple protobuf targets |
| PerformHeroDeparturesAction.scala | Depends on multiple protobuf targets |
| PerformHostileArmySetupAction.scala | Depends on multiple protobuf targets |
| PerformProvinceEventsAction.scala | Depends on `province_event_scala_proto` |
| PerformProvinceMoveResolutionAction.scala | Depends on multiple protobuf targets |
| PerformReconResolutionAction.scala | Depends on multiple protobuf targets |
| PerformUnaffiliatedHeroesAction.scala | Depends on `unaffiliated_hero_quest_scala_proto` |
| PerformVassalCommandsPhaseAction.scala | Depends on multiple protobuf targets |
| PerformVassalDefenseDecisionsAction.scala | Depends on multiple protobuf targets |
| PrisonerEscapeAction.scala | Depends on `game_state_scala_proto` |
| PrisonerExchangeAction.scala | Depends on multiple protobuf targets |
| RequestBattlesAction.scala | Depends on multiple protobuf targets |
| RequestFreeForAllBattlesAction.scala | Depends on multiple protobuf targets |
| ResolveBattleAction.scala | Depends on `shardok_internal_interface_scala_grpc` |
| UnaffiliatedHeroMovedAction.scala | Depends on multiple protobuf targets |
| UnaffiliatedHeroesChangedAction.scala | Depends on multiple protobuf targets |
---
## Commands
**ALL COMMANDS FULLY MIGRATED** (100% - 41/41 commands)
All 41 commands in the codebase have been successfully migrated to use Scala models only, with no protobuf dependencies. This includes:
- **Simple Actions**: Use `ProtolessSimpleAction` base class
- **Random Actions**: Use `ProtolessRandomSimpleAction` base class
- **Complex Domain Models**: Successfully integrated with LLM systems, diplomacy, quest fulfillment, and state management
- **Complete Type Safety**: All commands now use type-safe Scala domain models
**Key Migration Achievements:**
- ✅ All military commands (ArmTroops, Train, Organize, etc.)
- ✅ All diplomacy commands (Resolve Alliance/Truce/Ransom offers, etc.)
- ✅ All LLM-integrated commands (backstory generation, diplomacy resolution)
- ✅ All quest and event commands
- ✅ Final remaining command (FreeForAllDecisionCommand) migrated
---
## Diplomacy Helpers
All diplomacy helpers use **Scala models only**:
| File | Model Usage | Notes |
|------|-------------|-------|
| AllianceResolutionHelpers.scala | ✅ Scala Models Only | Uses `//src/main/scala/net/eagle0/eagle/model` only |
| BreakAllianceResolutionHelpers.scala | ✅ Scala Models Only | Uses `//src/main/scala/net/eagle0/eagle/model` only |
| InvitationResolutionHelpers.scala | ✅ Scala Models Only | Uses `//src/main/scala/net/eagle0/eagle/model` only |
| RansomResolutionHelpers.scala | ✅ Scala Models Only | Uses `//src/main/scala/net/eagle0/eagle/model` only |
| TruceResolutionHelpers.scala | ✅ Scala Models Only | Uses `//src/main/scala/net/eagle0/eagle/model` only |
---
## Migration Priority Analysis
Based on the BUILD.bazel dependency analysis, here are the key findings and recommendations:
### 🎯 High Impact Migration Targets
**Core Dependencies Blocking Multiple Commands:**
1. **`action_result_scala_proto`** - Used by 12+ commands
- Blocks: `DefendCommand`, `FreeForAllDecisionCommand`, diplomacy resolvers
- Impact: Would unlock many command migrations
2. **`available_command_scala_proto` / `selected_command_scala_proto`** - Used by 10+ commands
- Blocks: All UI-interactive commands
- Impact: Would enable client-server interaction model migration
3. **`game_state_scala_proto`** - Used by 8+ commands
- Blocks: Complex state-dependent commands
- Impact: Core state representation migration
### 📊 Migration Tiers by Complexity
**Tier 1 - Quick Wins (2 commands):**
- `ArmTroopsCommand` - Only `battalion_type` dependency
- `TrainCommand` - Only `battalion_type` dependency
- **Effort:** Low, **Impact:** Demonstrates battalion model usage
**Tier 2 - API Layer (5 commands):**
- Commands blocked by `available_command`/`selected_command`
- **Effort:** Medium, **Impact:** High (enables UI interaction models)
**Tier 3 - Diplomacy Suite (6 commands):**
- All `Resolve*Command` diplomacy commands
- **Effort:** High, **Impact:** High (complete diplomacy model migration)
- **Strategy:** Migrate as a group after diplomacy models are ready
### 🏆 Success Metrics
**Current Status:**
-**100% of commands fully migrated** (41/41) 🎉
-**All diplomacy helpers use Scala models**
-**All protoless base classes available**
-**ALL command migration completed**
**Completed Milestones:**
-**70% target:** Migrate Tier 1 + some Tier 2 commands **COMPLETED**
-**80% target:** Continue with remaining non-diplomacy commands **COMPLETED**
-**85% target:** Complete API layer migration **COMPLETED**
-**95% target:** Complete diplomacy migration **COMPLETED**
-**100% target:** Migrate final remaining command (FreeForAllDecisionCommand) **COMPLETED**
### 🎯 Action Migration Progress
**Migration Statistics:**
- 5/48 Actions fully migrated (10.4%)
- 20/48 Actions using protoless base classes but with protobuf dependencies (41.7%)
- 24/48 Actions still fully on protobuf (50%)
**Successfully Migrated Actions:**
1. **HeroBackstoryUpdateAction** - LLM integration for hero backstories
2. **ProvinceConqueredAction** - Component-based design with prisoner handling and province conquest
3. **ProvinceHeldAction** - Component-based design pattern (gameId, currentRoundId, specific models)
4. **UnaffiliatedHeroAppearedAction** - Hero appearance with name generation
5. **WithdrawnArmiesReturnHomeAction** - Army withdrawal mechanics
**Recent Migration Updates (2025-09-17):**
- **ResolvedEagleUnit** - Changed `battalion: BattalionT` to `battalion: Option[BattalionT]`
- Properly handles units without battalions (battalion ID -1)
- Updated `ShardokInterfaceGrpcClient` to check for `defaultBattalionId` and use `None`
- Updated `ResolveBattleAction`, `ProvinceConqueredAction`, `RequestBattlesAction`
- All tests updated to handle optional battalions
**Key Migration Patterns:**
- ✅ Use specific components instead of full GameState (see ProvinceHeldAction, ProvinceConqueredAction)
- ✅ Convert protobuf models to Scala models at Action boundaries
- ✅ Update BUILD.bazel to remove protobuf dependencies
- ✅ Update all call sites and tests
- ✅ Use `Option[T]` for optional fields instead of special sentinel values (e.g., battalion ID -1)
**Next Migration Candidates (Simple Actions with Protoless Base):**
1. **FreeForAllDrawAction** - Already uses ProtolessSimpleAction
2. **FriendlyMoveAction** - Already uses ProtolessSimpleAction
3. **ShipmentArrivedAction** - Already uses ProtolessSimpleAction
4. **WonFreeForAllAction** - Already uses ProtolessSimpleAction
5. **ProvinceConqueredAction** - Already uses ProtolessSimpleAction, only needs `common_unit` migration
### 🔄 Conversion Strategy Updates
**Revised Approach Based on Analysis:**
1. **Focus on Core Dependencies First**
- Migrate `battalion_type` model (unlocks 2 commands immediately)
- Migrate `action_result` model (unlocks 12+ commands)
- Migrate `available_command`/`selected_command` (unlocks UI layer)
2. **Leverage Existing Success**
- 77.5% of commands already fully migrated
- Use migrated commands as reference implementations
- Diplomacy helpers prove complex business logic can work with Scala models
3. **Group Related Migrations**
- Military commands: `ArmTroopsCommand`, `TrainCommand`, `OrganizeTroopsCommand`
- UI commands: All using `available_command`/`selected_command`
- Diplomacy commands: All `Resolve*Command` variants
---
*Updated on 2025-09-17 - Analysis based on BUILD.bazel dependencies and code review*
*Latest update: ResolvedEagleUnit migrated to use Option[BattalionT] for proper battalion handling*
Binary file not shown.
-1
View File
@@ -9,7 +9,6 @@ require (
github.com/aws/aws-sdk-go-v2/config v1.28.10
github.com/aws/aws-sdk-go-v2/credentials v1.17.51
github.com/aws/aws-sdk-go-v2/service/s3 v1.72.2
google.golang.org/grpc v1.68.0
google.golang.org/protobuf v1.36.3
)
-2
View File
@@ -40,8 +40,6 @@ github.com/google/go-cmp v0.5.5/go.mod h1:v8dTdLbMG2kIc/vJvl+f65V22dbkXbowE6jgT/
golang.org/x/text v0.25.0 h1:qVyWApTSYLk/drJRO5mDlNYskwQznZmkpV2c8q9zls4=
golang.org/x/text v0.25.0/go.mod h1:WEdwpYrmk1qmdHvhkSTNPm3app7v4rsT8F2UD6+VHIA=
golang.org/x/xerrors v0.0.0-20191204190536-9bdfabe68543/go.mod h1:I/5z698sn9Ka8TeJc9MKroUUfqBBauWjQqLJ2OPfmY0=
google.golang.org/grpc v1.68.0 h1:aHQeeJbo8zAkAa3pRzrVjZlbz6uSfeOXlJNQM0RAbz0=
google.golang.org/grpc v1.68.0/go.mod h1:fmSPC5AsjSBCK54MyHRx48kpOti1/jRfOlwEWywNjWA=
google.golang.org/protobuf v1.26.0-rc.1 h1:7QnIQpGRHE5RnLKnESfDoxm2dTapTZua5a0kS0A+VXQ=
google.golang.org/protobuf v1.26.0-rc.1/go.mod h1:jlhhOSvTdKEhbULTjvd4ARK9grFBp09yW+WbY/TyQbw=
google.golang.org/protobuf v1.36.3 h1:82DV7MYdb8anAVi3qge1wSnMDrnKK7ebr+I0hHRN1BU=
+12 -154
View File
@@ -1,10 +1,9 @@
{
"__AUTOGENERATED_FILE_DO_NOT_MODIFY_THIS_FILE_MANUALLY": "THERE_IS_NO_DATA_ONLY_ZUUL",
"__INPUT_ARTIFACTS_HASH": -1064460283,
"__RESOLVED_ARTIFACTS_HASH": -1574144850,
"__INPUT_ARTIFACTS_HASH": 571423113,
"__RESOLVED_ARTIFACTS_HASH": 438039003,
"conflict_resolution": {
"com.google.guava:failureaccess:1.0.1": "com.google.guava:failureaccess:1.0.2",
"com.squareup.okio:okio:2.10.0": "com.squareup.okio:okio:3.6.0",
"io.netty:netty-buffer:4.1.110.Final": "io.netty:netty-buffer:4.1.112.Final",
"io.netty:netty-codec-http2:4.1.110.Final": "io.netty:netty-codec-http2:4.1.112.Final",
"io.netty:netty-codec-http:4.1.110.Final": "io.netty:netty-codec-http:4.1.112.Final",
@@ -48,12 +47,6 @@
},
"version": "2.12.7"
},
"com.github.stephenc.jcip:jcip-annotations": {
"shasums": {
"jar": "4fccff8382aafc589962c4edb262f6aa595e34f1e11e61057d1c6a96e8fc7323"
},
"version": "1.0-1"
},
"com.google.android:annotations": {
"shasums": {
"jar": "ba734e1e84c09d615af6a09d33034b4f0442f8772dec120efb376d86a565ae15"
@@ -162,24 +155,6 @@
},
"version": "1.4.2"
},
"com.nimbusds:nimbus-jose-jwt": {
"shasums": {
"jar": "12ae4a3a260095d7aeba2adea7ae396e8b9570db8b7b409e09a824c219cc0444"
},
"version": "9.37.3"
},
"com.squareup.okhttp3:okhttp": {
"shasums": {
"jar": "b1050081b14bb7a3a7e55a4d3ef01b5dcfabc453b4573a4fc019767191d5f4e0"
},
"version": "4.12.0"
},
"com.squareup.okhttp3:okhttp-sse": {
"shasums": {
"jar": "bff4fbcaef7aac2d910d4ff46dafaa4e6d15da127df6bac97216da46943a7d4c"
},
"version": "4.12.0"
},
"com.squareup.okhttp:okhttp": {
"shasums": {
"jar": "88ac9fd1bb51f82bcc664cc1eb9c225c90dc4389d660231b4cc737bebfe7d0aa"
@@ -188,15 +163,9 @@
},
"com.squareup.okio:okio": {
"shasums": {
"jar": "8e63292e5c53bb93c4a6b0c213e79f15990fed250c1340f1c343880e1c9c39b5"
"jar": "a27f091d34aa452e37227e2cfa85809f29012a8ef2501a9b5a125a978e4fcbc1"
},
"version": "3.6.0"
},
"com.squareup.okio:okio-jvm": {
"shasums": {
"jar": "67543f0736fc422ae927ed0e504b98bc5e269fda0d3500579337cb713da28412"
},
"version": "3.6.0"
"version": "2.10.0"
},
"com.thesamet.scalapb:compilerplugin_3": {
"shasums": {
@@ -475,27 +444,15 @@
},
"org.jetbrains.kotlin:kotlin-stdlib": {
"shasums": {
"jar": "55e989c512b80907799f854309f3bc7782c5b3d13932442d0379d5c472711504"
"jar": "b8ab1da5cdc89cb084d41e1f28f20a42bd431538642a5741c52bbfae3fa3e656"
},
"version": "1.9.10"
"version": "1.4.20"
},
"org.jetbrains.kotlin:kotlin-stdlib-common": {
"shasums": {
"jar": "cde3341ba18a2ba262b0b7cf6c55b20c90e8d434e42c9a13e6a3f770db965a88"
"jar": "a7112c9b3cefee418286c9c9372f7af992bd1e6e030691d52f60cb36dbec8320"
},
"version": "1.9.10"
},
"org.jetbrains.kotlin:kotlin-stdlib-jdk7": {
"shasums": {
"jar": "ac6361bf9ad1ed382c2103d9712c47cdec166232b4903ed596e8876b0681c9b7"
},
"version": "1.9.10"
},
"org.jetbrains.kotlin:kotlin-stdlib-jdk8": {
"shasums": {
"jar": "a4c74d94d64ce1abe53760fe0389dd941f6fc558d0dab35e47c085a11ec80f28"
},
"version": "1.9.10"
"version": "1.4.20"
},
"org.jetbrains:annotations": {
"shasums": {
@@ -822,26 +779,12 @@
"org.checkerframework:checker-qual",
"org.ow2.asm:asm"
],
"com.nimbusds:nimbus-jose-jwt": [
"com.github.stephenc.jcip:jcip-annotations"
],
"com.squareup.okhttp3:okhttp": [
"com.squareup.okio:okio",
"org.jetbrains.kotlin:kotlin-stdlib-jdk8"
],
"com.squareup.okhttp3:okhttp-sse": [
"com.squareup.okhttp3:okhttp",
"org.jetbrains.kotlin:kotlin-stdlib-jdk8"
],
"com.squareup.okhttp:okhttp": [
"com.squareup.okio:okio"
],
"com.squareup.okio:okio": [
"com.squareup.okio:okio-jvm"
],
"com.squareup.okio:okio-jvm": [
"org.jetbrains.kotlin:kotlin-stdlib-common",
"org.jetbrains.kotlin:kotlin-stdlib-jdk8"
"org.jetbrains.kotlin:kotlin-stdlib",
"org.jetbrains.kotlin:kotlin-stdlib-common"
],
"com.thesamet.scalapb:compilerplugin_3": [
"com.google.protobuf:protobuf-java",
@@ -1049,13 +992,6 @@
"org.jetbrains.kotlin:kotlin-stdlib-common",
"org.jetbrains:annotations"
],
"org.jetbrains.kotlin:kotlin-stdlib-jdk7": [
"org.jetbrains.kotlin:kotlin-stdlib"
],
"org.jetbrains.kotlin:kotlin-stdlib-jdk8": [
"org.jetbrains.kotlin:kotlin-stdlib",
"org.jetbrains.kotlin:kotlin-stdlib-jdk7"
],
"org.json4s:json4s-ast_3": [
"org.scala-lang:scala3-library_3"
],
@@ -1370,9 +1306,6 @@
"com.fasterxml.jackson.databind.type",
"com.fasterxml.jackson.databind.util"
],
"com.github.stephenc.jcip:jcip-annotations": [
"net.jcip.annotations"
],
"com.google.android:annotations": [
"android.annotation"
],
@@ -1518,61 +1451,6 @@
"com.google.truth:truth": [
"com.google.common.truth"
],
"com.nimbusds:nimbus-jose-jwt": [
"com.nimbusds.jose",
"com.nimbusds.jose.crypto",
"com.nimbusds.jose.crypto.bc",
"com.nimbusds.jose.crypto.factories",
"com.nimbusds.jose.crypto.impl",
"com.nimbusds.jose.crypto.opts",
"com.nimbusds.jose.crypto.utils",
"com.nimbusds.jose.jca",
"com.nimbusds.jose.jwk",
"com.nimbusds.jose.jwk.gen",
"com.nimbusds.jose.jwk.source",
"com.nimbusds.jose.mint",
"com.nimbusds.jose.proc",
"com.nimbusds.jose.produce",
"com.nimbusds.jose.shaded.gson",
"com.nimbusds.jose.shaded.gson.annotations",
"com.nimbusds.jose.shaded.gson.internal",
"com.nimbusds.jose.shaded.gson.internal.bind",
"com.nimbusds.jose.shaded.gson.internal.bind.util",
"com.nimbusds.jose.shaded.gson.internal.reflect",
"com.nimbusds.jose.shaded.gson.internal.sql",
"com.nimbusds.jose.shaded.gson.reflect",
"com.nimbusds.jose.shaded.gson.stream",
"com.nimbusds.jose.util",
"com.nimbusds.jose.util.cache",
"com.nimbusds.jose.util.events",
"com.nimbusds.jose.util.health",
"com.nimbusds.jwt",
"com.nimbusds.jwt.proc",
"com.nimbusds.jwt.util"
],
"com.squareup.okhttp3:okhttp": [
"okhttp3",
"okhttp3.internal",
"okhttp3.internal.authenticator",
"okhttp3.internal.cache",
"okhttp3.internal.cache2",
"okhttp3.internal.concurrent",
"okhttp3.internal.connection",
"okhttp3.internal.http",
"okhttp3.internal.http1",
"okhttp3.internal.http2",
"okhttp3.internal.io",
"okhttp3.internal.platform",
"okhttp3.internal.platform.android",
"okhttp3.internal.proxy",
"okhttp3.internal.publicsuffix",
"okhttp3.internal.tls",
"okhttp3.internal.ws"
],
"com.squareup.okhttp3:okhttp-sse": [
"okhttp3.internal.sse",
"okhttp3.sse"
],
"com.squareup.okhttp:okhttp": [
"com.squareup.okhttp",
"com.squareup.okhttp.internal",
@@ -1581,7 +1459,7 @@
"com.squareup.okhttp.internal.io",
"com.squareup.okhttp.internal.tls"
],
"com.squareup.okio:okio-jvm": [
"com.squareup.okio:okio": [
"okio",
"okio.internal"
],
@@ -1936,7 +1814,6 @@
"kotlin.annotation",
"kotlin.collections",
"kotlin.collections.builders",
"kotlin.collections.jdk8",
"kotlin.collections.unsigned",
"kotlin.comparisons",
"kotlin.concurrent",
@@ -1945,36 +1822,24 @@
"kotlin.coroutines.cancellation",
"kotlin.coroutines.intrinsics",
"kotlin.coroutines.jvm.internal",
"kotlin.enums",
"kotlin.experimental",
"kotlin.internal",
"kotlin.internal.jdk7",
"kotlin.internal.jdk8",
"kotlin.io",
"kotlin.io.encoding",
"kotlin.io.path",
"kotlin.jdk7",
"kotlin.js",
"kotlin.jvm",
"kotlin.jvm.functions",
"kotlin.jvm.internal",
"kotlin.jvm.internal.markers",
"kotlin.jvm.internal.unsafe",
"kotlin.jvm.jdk8",
"kotlin.jvm.optionals",
"kotlin.math",
"kotlin.properties",
"kotlin.random",
"kotlin.random.jdk8",
"kotlin.ranges",
"kotlin.reflect",
"kotlin.sequences",
"kotlin.streams.jdk8",
"kotlin.system",
"kotlin.text",
"kotlin.text.jdk8",
"kotlin.time",
"kotlin.time.jdk8"
"kotlin.time"
],
"org.jetbrains:annotations": [
"org.intellij.lang.annotations",
@@ -2387,7 +2252,6 @@
"com.fasterxml.jackson.core:jackson-annotations",
"com.fasterxml.jackson.core:jackson-core",
"com.fasterxml.jackson.core:jackson-databind",
"com.github.stephenc.jcip:jcip-annotations",
"com.google.android:annotations",
"com.google.api.grpc:proto-google-common-protos",
"com.google.auth:google-auth-library-credentials",
@@ -2406,12 +2270,8 @@
"com.google.protobuf:protobuf-java",
"com.google.re2j:re2j",
"com.google.truth:truth",
"com.nimbusds:nimbus-jose-jwt",
"com.squareup.okhttp3:okhttp",
"com.squareup.okhttp3:okhttp-sse",
"com.squareup.okhttp:okhttp",
"com.squareup.okio:okio",
"com.squareup.okio:okio-jvm",
"com.thesamet.scalapb:compilerplugin_3",
"com.thesamet.scalapb:lenses_3",
"com.thesamet.scalapb:protoc-bridge_2.13",
@@ -2464,8 +2324,6 @@
"org.hamcrest:hamcrest-core",
"org.jetbrains.kotlin:kotlin-stdlib",
"org.jetbrains.kotlin:kotlin-stdlib-common",
"org.jetbrains.kotlin:kotlin-stdlib-jdk7",
"org.jetbrains.kotlin:kotlin-stdlib-jdk8",
"org.jetbrains:annotations",
"org.json4s:json4s-ast_3",
"org.json4s:json4s-core_3",
-132
View File
@@ -1,132 +0,0 @@
events {
worker_connections 1024;
}
http {
# Logging
log_format grpc_json escape=json '{'
'"time":"$time_iso8601",'
'"client":"$remote_addr",'
'"uri":"$uri",'
'"status":$status,'
'"grpc_status":"$sent_http_grpc_status",'
'"request_time":$request_time,'
'"upstream_time":"$upstream_response_time"'
'}';
access_log /var/log/nginx/access.log grpc_json;
error_log /var/log/nginx/error.log warn;
# Rate limiting zone
limit_req_zone $binary_remote_addr zone=grpc_limit:10m rate=100r/s;
# Docker DNS resolver - re-resolve hostnames every 10s
# This prevents stale IP caching when containers restart
resolver 127.0.0.11 valid=10s ipv6=off;
# Upstream for Eagle gRPC server
upstream eagle_grpc {
server eagle:40032;
keepalive 100;
}
# HTTP server for Let's Encrypt challenge and redirect
server {
listen 80;
server_name prod.eagle0.net;
# Let's Encrypt challenge
location /.well-known/acme-challenge/ {
root /var/www/certbot;
}
# Redirect all other HTTP to HTTPS
location / {
return 301 https://$host$request_uri;
}
}
# HTTPS server for gRPC
server {
listen 443 ssl;
http2 on;
server_name prod.eagle0.net;
# SSL certificates (managed by certbot)
ssl_certificate /etc/letsencrypt/live/prod.eagle0.net/fullchain.pem;
ssl_certificate_key /etc/letsencrypt/live/prod.eagle0.net/privkey.pem;
# SSL configuration
ssl_protocols TLSv1.2 TLSv1.3;
ssl_ciphers ECDHE-ECDSA-AES128-GCM-SHA256:ECDHE-RSA-AES128-GCM-SHA256:ECDHE-ECDSA-AES256-GCM-SHA384:ECDHE-RSA-AES256-GCM-SHA384;
ssl_prefer_server_ciphers off;
ssl_session_timeout 1d;
ssl_session_cache shared:SSL:10m;
ssl_session_tickets off;
# gRPC proxy for Eagle service
location /net.eagle0.eagle.api.Eagle {
# Rate limiting
limit_req zone=grpc_limit burst=50 nodelay;
# gRPC proxy
grpc_pass grpc://eagle_grpc;
# Timeouts for long-running streams
grpc_read_timeout 1200s;
grpc_send_timeout 1200s;
grpc_socket_keepalive on;
# Error handling
error_page 502 = /error502grpc;
}
# gRPC proxy for Auth service
location /net.eagle0.eagle.api.auth.Auth {
# Rate limiting
limit_req zone=grpc_limit burst=50 nodelay;
# gRPC proxy
grpc_pass grpc://eagle_grpc;
# Timeouts
grpc_read_timeout 30s;
grpc_send_timeout 30s;
# Error handling
error_page 502 = /error502grpc;
}
# OAuth callback endpoint (proxied to Eagle's HTTP handler)
location /oauth/callback {
proxy_pass http://eagle:8080;
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
}
# Admin server proxy
location /admin/ {
proxy_pass http://admin:8080/;
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
}
# Health check endpoint
location /health {
access_log off;
return 200 "OK\n";
add_header Content-Type text/plain;
}
# gRPC error handling
location = /error502grpc {
internal;
default_type application/grpc;
add_header grpc-status 14;
add_header grpc-message "unavailable";
return 204;
}
}
}
+2 -3
View File
@@ -3,8 +3,7 @@
set -euxo pipefail
/bin/echo "building darwin bundle"
bazel build --config=mactools @net_eagle0_unity_godice//darwin/framework:DarwinGodiceBundle
ZIP_LOCATION=$(bazel cquery --config=mactools --output=files @net_eagle0_unity_godice//darwin/framework:DarwinGodiceBundle 2>/dev/null)
/usr/bin/unzip -o $ZIP_LOCATION -d src/main/csharp/net/eagle0/clients/unity/eagle0/Assets/Plugins/
bazel build --noincompatible_enable_cc_toolchain_resolution @net_eagle0_unity_godice//darwin/framework:DarwinGodiceBundle
/usr/bin/unzip -o bazel-bin/external/net_eagle0_unity_godice/darwin/framework/DarwinGodiceBundle.zip -d src/main/csharp/net/eagle0/clients/unity/eagle0/Assets/Plugins/
/usr/bin/plutil -convert xml1 src/main/csharp/net/eagle0/clients/unity/eagle0/Assets/Plugins/DarwinGodiceBundle.bundle/Contents/Info.plist
+2 -3
View File
@@ -5,9 +5,8 @@ set -euxo pipefail
/bin/echo "build plugins"
/bin/echo "building darwin bundle"
bazel build --config=mactools @net_eagle0_unity_godice//darwin/framework:DarwinGodiceBundle
ZIP_LOCATION=$(bazel cquery --config=mactools --output=files @net_eagle0_unity_godice//darwin/framework:DarwinGodiceBundle 2>/dev/null)
/usr/bin/unzip -o $ZIP_LOCATION -d src/main/csharp/net/eagle0/clients/unity/eagle0/Assets/Plugins/
bazel build --noincompatible_enable_cc_toolchain_resolution @net_eagle0_unity_godice//darwin/framework:DarwinGodiceBundle
/usr/bin/unzip -o bazel-bin/external/net_eagle0_unity_godice/darwin/framework/DarwinGodiceBundle.zip -d src/main/csharp/net/eagle0/clients/unity/eagle0/Assets/Plugins/
/usr/bin/plutil -convert xml1 src/main/csharp/net/eagle0/clients/unity/eagle0/Assets/Plugins/DarwinGodiceBundle.bundle/Contents/Info.plist
+2 -4
View File
@@ -1,10 +1,8 @@
#!/usr/bin/env bash
curl -L "https://docs.google.com/spreadsheets/d/1pv-WMXReccddPwev_YG9IXEGznuGHrYjNNEZ0Rb-ZhM/export?gid=0&format=tsv" | tr -d '\r' > src/main/resources/net/eagle0/shardok/settings.tsv
curl -L "https://docs.google.com/spreadsheets/d/1p6I5nUMcoAPHIcqikVgbBCFVnqN9dpOEVClbS_wOI7M/export?gid=0&format=tsv" | tr -d '\r' > src/main/resources/net/eagle0/eagle/settings.tsv
curl -L "https://docs.google.com/spreadsheets/d/1pv-WMXReccddPwev_YG9IXEGznuGHrYjNNEZ0Rb-ZhM/export?gid=0&format=tsv" > src/main/resources/net/eagle0/shardok/settings.tsv
curl -L "https://docs.google.com/spreadsheets/d/1p6I5nUMcoAPHIcqikVgbBCFVnqN9dpOEVClbS_wOI7M/export?gid=0&format=tsv" > src/main/resources/net/eagle0/eagle/settings.tsv
bazel run //src/main/go/net/eagle0/build/settings_generator:settings_generator -- \
${PWD}/src/main/resources/net/eagle0/eagle/settings.tsv \
${PWD}/src/main/scala/net/eagle0/eagle/library/settings/
bazel run gazelle
+4 -4
View File
@@ -1,11 +1,11 @@
#!/usr/bin/env bash
curl -L "https://docs.google.com/spreadsheets/d/1DHEsiv4cY4gE6AX3sVH82K__mpBD1aznIYCQwQxA_F0/export?gid=0&format=tsv" | tr -d '\r' > /tmp/names.tsv
curl -L "https://docs.google.com/spreadsheets/d/1DHEsiv4cY4gE6AX3sVH82K__mpBD1aznIYCQwQxA_F0/export?gid=0&format=tsv" > /tmp/names.tsv
bazel run //src/main/scala/net/eagle0/util:name_list_checker -- /tmp/names.tsv > src/main/resources/net/eagle0/names.tsv
bazel run //src/main/scala/net/eagle0/util:name_list_json_maker -- /tmp/names.tsv > src/main/resources/net/eagle0/names.json
curl -L "https://docs.google.com/spreadsheets/d/1NhvG73HKyVE36yGpkV2oJiSIXoNqQOYTr5ArLnucYL0/export?gid=0&format=tsv" | tr -d '\r' > src/main/resources/net/eagle0/shardok/battalionTypes.tsv
curl -L "https://docs.google.com/spreadsheets/d/1pNWiyxIks2wJ1v7jRLFD24zrKHG2AfhC-nkWmQKQGN4/export?gid=0&format=tsv" | tr -d '\r' > src/main/resources/net/eagle0/eagle/heroes.tsv
curl -L "https://docs.google.com/spreadsheets/d/1RUguq5eAQprsZwOOqiCc-1dg4Urc_6iJ6awZsFU4MeI/export?gid=0&format=tsv" | tr -d '\r' > src/main/resources/net/eagle0/eagle/beasts.tsv
curl -L "https://docs.google.com/spreadsheets/d/1NhvG73HKyVE36yGpkV2oJiSIXoNqQOYTr5ArLnucYL0/export?gid=0&format=tsv" > src/main/resources/net/eagle0/shardok/battalionTypes.tsv
curl -L "https://docs.google.com/spreadsheets/d/1pNWiyxIks2wJ1v7jRLFD24zrKHG2AfhC-nkWmQKQGN4/export?gid=0&format=tsv" > src/main/resources/net/eagle0/eagle/heroes.tsv
curl -L "https://docs.google.com/spreadsheets/d/1RUguq5eAQprsZwOOqiCc-1dg4Urc_6iJ6awZsFU4MeI/export?gid=0&format=tsv" > src/main/resources/net/eagle0/eagle/beasts.tsv
#curl -L "https://docs.google.com/spreadsheets/d/1Z-60cJ_N1IasvqpVb5awKEkIYznEeR2IZSdli47oW88/export?gid=0&format=tsv" > src/main/resources/net/eagle0/eagle/province_map.tsv
${PWD}/scripts/dlSettings.sh
-473
View File
@@ -1,473 +0,0 @@
#!/bin/bash
#
# generate_changelog.sh
#
# Generates a weekly changelog from merged PRs, uses Claude to create a synopsis,
# and sends an HTML email via Fastmail JMAP API.
#
# Usage: ./scripts/generate_changelog.sh [--dry-run]
#
# Configuration files (in ~/.config/eagle0/):
# fastmail_token - API token (required)
# changelog_recipient - Email addresses, one per line (optional, defaults to sender)
#
# To set up:
# mkdir -p ~/.config/eagle0
# echo 'your-token' > ~/.config/eagle0/fastmail_token
# chmod 600 ~/.config/eagle0/fastmail_token
#
# # Optional: configure recipients (one per line, # for comments)
# cat > ~/.config/eagle0/changelog_recipient << EOF
# alice@example.com
# bob@example.com
# EOF
#
# The script tracks its last run using a git tag 'changelog-last-run'.
# On first run (no tag), it defaults to the previous Friday at 4pm.
set -euo pipefail
# Ensure homebrew binaries are in PATH
export PATH="/opt/homebrew/bin:$PATH"
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
REPO_ROOT="$(cd "$SCRIPT_DIR/.." && pwd)"
TAG_NAME="changelog-last-run"
DRY_RUN=false
FASTMAIL_API="https://api.fastmail.com/jmap/api/"
CONFIG_DIR="$HOME/.config/eagle0"
TOKEN_FILE="$CONFIG_DIR/fastmail_token"
RECIPIENT_FILE="$CONFIG_DIR/changelog_recipient"
# Load API token from file or environment
load_api_token() {
# Environment variable takes precedence
if [[ -n "${FASTMAIL_API_TOKEN:-}" ]]; then
return 0
fi
# Try loading from config file
if [[ -f "$TOKEN_FILE" ]]; then
FASTMAIL_API_TOKEN=$(cat "$TOKEN_FILE" | tr -d '[:space:]')
if [[ -n "$FASTMAIL_API_TOKEN" ]]; then
echo "Loaded API token from $TOKEN_FILE"
export FASTMAIL_API_TOKEN
return 0
fi
fi
return 1
}
# Load recipient emails from config file (one per line)
# Returns JSON array fragment like: {"email": "a@b.com"}, {"email": "c@d.com"}
load_recipients_json() {
local recipients=""
if [[ -f "$RECIPIENT_FILE" ]]; then
while IFS= read -r line || [[ -n "$line" ]]; do
# Skip empty lines and comments
line=$(echo "$line" | tr -d '[:space:]')
[[ -z "$line" || "$line" == \#* ]] && continue
if [[ -n "$recipients" ]]; then
recipients="$recipients, "
fi
recipients="$recipients{\"email\": \"$line\"}"
done < "$RECIPIENT_FILE"
fi
echo "$recipients"
}
# Get human-readable list of recipients
load_recipients_display() {
if [[ -f "$RECIPIENT_FILE" ]]; then
grep -v '^#' "$RECIPIENT_FILE" | grep -v '^[[:space:]]*$' | tr '\n' ', ' | sed 's/, $//'
fi
}
# Parse arguments
while [[ $# -gt 0 ]]; do
case $1 in
--dry-run)
DRY_RUN=true
shift
;;
*)
echo "Unknown option: $1"
echo "Usage: $0 [--dry-run]"
exit 1
;;
esac
done
cd "$REPO_ROOT"
# Get the cutoff date - either from tag or previous Friday 4pm
get_cutoff_date() {
# Try to get the date from the tag
if git rev-parse "$TAG_NAME" >/dev/null 2>&1; then
# Get the commit date of the tagged commit
git log -1 --format="%aI" "$TAG_NAME"
else
# Calculate previous Friday at 4pm
# Get current day of week (1=Monday, 7=Sunday)
local dow=$(date +%u)
local days_since_friday
if [[ $dow -ge 5 ]]; then
# Friday (5), Saturday (6), or Sunday (7)
days_since_friday=$((dow - 5))
else
# Monday (1) through Thursday (4)
days_since_friday=$((dow + 2))
fi
# Get previous Friday at 4pm in ISO format
if [[ "$(uname)" == "Darwin" ]]; then
date -v-"${days_since_friday}d" -v16H -v0M -v0S +"%Y-%m-%dT%H:%M:%S%z"
else
date -d "$days_since_friday days ago 16:00:00" --iso-8601=seconds
fi
fi
}
# Fetch merged PRs since the cutoff date
fetch_merged_prs() {
local since_date="$1"
local output_file="$2"
echo "Fetching PRs merged since: $since_date"
# Use gh to search for merged PRs
gh pr list \
--state merged \
--base main \
--json number,title,body,mergedAt,author \
--jq ".[] | select(.mergedAt >= \"$since_date\")" \
> "$output_file.json"
# Format the output nicely
echo "# Merged PRs since $since_date" > "$output_file"
echo "" >> "$output_file"
# Process each PR
jq -r '
"## PR #\(.number): \(.title)\n" +
"Author: \(.author.login)\n" +
"Merged: \(.mergedAt)\n\n" +
"### Description\n" +
(.body // "(No description)") +
"\n\n---\n"
' "$output_file.json" >> "$output_file"
# Count PRs
local pr_count=$(jq -s 'length' "$output_file.json")
echo "Found $pr_count merged PRs"
rm -f "$output_file.json"
if [[ $pr_count -eq 0 ]]; then
echo "No PRs found since $since_date"
return 1
fi
return 0
}
# Generate synopsis using Claude
generate_synopsis() {
local input_file="$1"
local output_file="$2"
echo "Generating synopsis with Claude..."
# Create a prompt file to avoid shell escaping issues
local prompt_file="/tmp/eagle0_prompt_$$.txt"
# Get repo URL for PR links
local repo_url=$(gh repo view --json url -q '.url')
cat > "$prompt_file" <<PROMPT_HEADER
You are summarizing changes for a weekly engineering update email.
Read the following list of merged PRs and create a concise synopsis grouped by theme/feature/area of the codebase.
Structure:
1. <h1> title (e.g., "Eagle0 Weekly Update")
2. <h2>BLUF</h2> (Bottom Line Up Front) - A short prose paragraph (2-4 sentences) highlighting the 1-3 most important changes this week and what to look for when testing. This should be conversational and help readers quickly understand what matters most.
3. Synopsis sections (<h2> headings with bullet point summaries)
4. <hr> divider
5. <h2>PR Details</h2> with the same groupings, but smaller (<h3> headings) and listing PR links
- Format each PR as: <a href="${repo_url}/pull/NUMBER">#NUMBER</a>: Title
Guidelines for the SYNOPSIS sections:
- Group related changes together under clear headings (use <h2> tags)
- Use bullet points (<ul><li>) for individual changes
- Highlight any significant new features, breaking changes, or important fixes
- Keep the tone professional but accessible
- Don't include PR numbers in the synopsis - focus on what changed and why it matters
IMPORTANT: Output valid HTML that can be used directly in an email body. Do NOT wrap in \`\`\`html code blocks - just output the raw HTML.
Here are the merged PRs:
PROMPT_HEADER
cat "$input_file" >> "$prompt_file"
echo "" >> "$prompt_file"
echo "Generate the synopsis now:" >> "$prompt_file"
# Use Claude CLI to generate the synopsis, wrapped in proper HTML with charset
local raw_output="/tmp/eagle0_raw_$$.html"
cat "$prompt_file" | claude --print > "$raw_output"
# Wrap in HTML document with UTF-8 charset
cat > "$output_file" <<'HTML_HEAD'
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
</head>
<body>
HTML_HEAD
cat "$raw_output" >> "$output_file"
echo "</body></html>" >> "$output_file"
rm -f "$prompt_file" "$raw_output"
echo "Synopsis generated at: $output_file"
}
# Get Fastmail session info (account ID, identity ID, drafts mailbox ID)
get_fastmail_session() {
echo "Fetching Fastmail session info..." >&2
# Get session
local session=$(curl -s \
-H "Authorization: Bearer $FASTMAIL_API_TOKEN" \
"https://api.fastmail.com/jmap/session")
# Extract account ID (first account)
FASTMAIL_ACCOUNT_ID=$(echo "$session" | jq -r '.primaryAccounts["urn:ietf:params:jmap:mail"]')
if [[ -z "$FASTMAIL_ACCOUNT_ID" || "$FASTMAIL_ACCOUNT_ID" == "null" ]]; then
echo "Error: Could not get Fastmail account ID. Check your API token." >&2
return 1
fi
echo "Account ID: $FASTMAIL_ACCOUNT_ID" >&2
# Get identity ID
local identity_response=$(curl -s \
-H "Authorization: Bearer $FASTMAIL_API_TOKEN" \
-H "Content-Type: application/json" \
-X POST \
-d "{
\"using\": [\"urn:ietf:params:jmap:core\", \"urn:ietf:params:jmap:mail\", \"urn:ietf:params:jmap:submission\"],
\"methodCalls\": [
[\"Identity/get\", {\"accountId\": \"$FASTMAIL_ACCOUNT_ID\"}, \"0\"]
]
}" \
"$FASTMAIL_API")
FASTMAIL_IDENTITY_ID=$(echo "$identity_response" | jq -r '.methodResponses[0][1].list[0].id')
FASTMAIL_FROM_EMAIL=$(echo "$identity_response" | jq -r '.methodResponses[0][1].list[0].email')
if [[ -z "$FASTMAIL_IDENTITY_ID" || "$FASTMAIL_IDENTITY_ID" == "null" ]]; then
echo "Error: Could not get Fastmail identity ID." >&2
return 1
fi
echo "Identity ID: $FASTMAIL_IDENTITY_ID (${FASTMAIL_FROM_EMAIL})" >&2
# Get drafts mailbox ID
local mailbox_response=$(curl -s \
-H "Authorization: Bearer $FASTMAIL_API_TOKEN" \
-H "Content-Type: application/json" \
-X POST \
-d "{
\"using\": [\"urn:ietf:params:jmap:core\", \"urn:ietf:params:jmap:mail\"],
\"methodCalls\": [
[\"Mailbox/query\", {\"accountId\": \"$FASTMAIL_ACCOUNT_ID\", \"filter\": {\"role\": \"drafts\"}}, \"0\"]
]
}" \
"$FASTMAIL_API")
FASTMAIL_DRAFTS_ID=$(echo "$mailbox_response" | jq -r '.methodResponses[0][1].ids[0]')
if [[ -z "$FASTMAIL_DRAFTS_ID" || "$FASTMAIL_DRAFTS_ID" == "null" ]]; then
echo "Error: Could not get Fastmail drafts mailbox ID." >&2
return 1
fi
echo "Drafts mailbox ID: $FASTMAIL_DRAFTS_ID" >&2
return 0
}
# Send email via Fastmail JMAP API
send_email_fastmail() {
local synopsis_file="$1"
local recipients_json="$2" # JSON array fragment: {"email": "a@b.com"}, {"email": "c@d.com"}
local subject="Eagle0 Weekly Changelog - $(date +%Y-%m-%d)"
local html_body=$(cat "$synopsis_file" | jq -Rs .)
echo "Sending email via Fastmail JMAP API..."
# Create the email and send it in one request
local response=$(curl -s \
-H "Authorization: Bearer $FASTMAIL_API_TOKEN" \
-H "Content-Type: application/json" \
-X POST \
-d "{
\"using\": [
\"urn:ietf:params:jmap:core\",
\"urn:ietf:params:jmap:mail\",
\"urn:ietf:params:jmap:submission\"
],
\"methodCalls\": [
[\"Email/set\", {
\"accountId\": \"$FASTMAIL_ACCOUNT_ID\",
\"create\": {
\"draft\": {
\"from\": [{\"email\": \"$FASTMAIL_FROM_EMAIL\"}],
\"to\": [$recipients_json],
\"subject\": \"$subject\",
\"mailboxIds\": {\"$FASTMAIL_DRAFTS_ID\": true},
\"keywords\": {\"\$draft\": true},
\"htmlBody\": [{\"partId\": \"body\", \"type\": \"text/html\"}],
\"bodyValues\": {
\"body\": {
\"charset\": \"utf-8\",
\"value\": $html_body
}
}
}
}
}, \"0\"],
[\"EmailSubmission/set\", {
\"accountId\": \"$FASTMAIL_ACCOUNT_ID\",
\"onSuccessDestroyEmail\": [\"#sendIt\"],
\"create\": {
\"sendIt\": {
\"emailId\": \"#draft\",
\"identityId\": \"$FASTMAIL_IDENTITY_ID\"
}
}
}, \"1\"]
]
}" \
"$FASTMAIL_API")
# Check for errors
local error=$(echo "$response" | jq -r '.methodResponses[0][1].notCreated.draft.description // empty')
if [[ -n "$error" ]]; then
echo "Error creating email: $error" >&2
echo "Full response: $response" >&2
return 1
fi
local send_error=$(echo "$response" | jq -r '.methodResponses[1][1].notCreated.sendIt.description // empty')
if [[ -n "$send_error" ]]; then
echo "Error sending email: $send_error" >&2
echo "Full response: $response" >&2
return 1
fi
echo "Email sent successfully"
}
# Update the tag to mark this run
update_tag() {
echo "Updating $TAG_NAME tag..."
# Delete existing tag if present
git tag -d "$TAG_NAME" 2>/dev/null || true
git push origin --delete "$TAG_NAME" 2>/dev/null || true
# Create new tag at HEAD
git tag "$TAG_NAME"
git push origin "$TAG_NAME"
echo "Tag updated to current HEAD"
}
# Main
main() {
echo "=== Eagle0 Weekly Changelog Generator ==="
echo ""
# Load API token (only required for actual send)
if [[ "$DRY_RUN" != "true" ]]; then
if ! load_api_token; then
echo "Error: No Fastmail API token found."
echo ""
echo "To create a token:"
echo "1. Go to Fastmail Settings -> Password & Security -> API tokens"
echo "2. Create a new token with 'Email submission' scope"
echo "3. Save it using one of these methods:"
echo ""
echo " Option A (recommended): Store in config file"
echo " mkdir -p ~/.config/eagle0"
echo " echo 'your-token' > ~/.config/eagle0/fastmail_token"
echo " chmod 600 ~/.config/eagle0/fastmail_token"
echo ""
echo " Option B: Set environment variable"
echo " export FASTMAIL_API_TOKEN='your-token'"
exit 1
fi
fi
# Get cutoff date
local cutoff_date=$(get_cutoff_date)
echo "Cutoff date: $cutoff_date"
# Create temp files
local pr_file="/tmp/eagle0_prs_$(date +%s).md"
local synopsis_file="/tmp/eagle0_synopsis_$(date +%s).html"
# Fetch PRs
if ! fetch_merged_prs "$cutoff_date" "$pr_file"; then
echo "No changes to report. Exiting."
exit 0
fi
echo ""
echo "PR details saved to: $pr_file"
# Generate synopsis
generate_synopsis "$pr_file" "$synopsis_file"
if [[ "$DRY_RUN" == "true" ]]; then
echo ""
echo "=== DRY RUN - Synopsis content ==="
cat "$synopsis_file"
echo ""
echo "=== DRY RUN - Skipping email send and tag update ==="
else
# Get Fastmail session info
if ! get_fastmail_session; then
echo "Failed to get Fastmail session info. Exiting."
exit 1
fi
# Determine recipients (from config file, or default to sender)
local recipients_json=$(load_recipients_json)
if [[ -z "$recipients_json" ]]; then
recipients_json="{\"email\": \"$FASTMAIL_FROM_EMAIL\"}"
echo "No recipients configured, sending to self ($FASTMAIL_FROM_EMAIL)"
else
local recipients_display=$(load_recipients_display)
echo "Sending to: $recipients_display"
fi
# Send email
send_email_fastmail "$synopsis_file" "$recipients_json"
# Update tag for next run
update_tag
fi
echo ""
echo "Done!"
echo "PR details: $pr_file"
echo "Synopsis: $synopsis_file"
}
main
-19
View File
@@ -1,19 +0,0 @@
#!/bin/bash
# Pre-commit hook wrapper for gazelle that fails if files are modified.
# This ensures BUILD files are in canonical format before committing.
set -e
# Run gazelle
bazel run //:gazelle 2>/dev/null
# Check if any BUILD files were modified
if ! git diff --quiet -- '*.bazel' '**/BUILD' 'WORKSPACE*'; then
echo ""
echo "ERROR: gazelle modified BUILD files. Please stage the changes and retry:"
echo ""
git diff --name-only -- '*.bazel' '**/BUILD' 'WORKSPACE*'
echo ""
echo "Run: git add -u && git commit"
exit 1
fi
-149
View File
@@ -1,149 +0,0 @@
#!/bin/bash
#
# Setup script for Eagle0 production droplet
# Run this on a fresh DigitalOcean droplet (Ubuntu 24.04)
#
# Usage: curl -sSL https://raw.githubusercontent.com/nolen777/eagle0/main/scripts/setup_droplet.sh | sudo bash
#
set -euo pipefail
DOMAIN="${DOMAIN:-eagle0.net}"
DEPLOY_USER="${DEPLOY_USER:-deploy}"
APP_DIR="/opt/eagle0"
echo "=== Eagle0 Production Server Setup ==="
echo "Domain: ${DOMAIN}"
echo "Deploy user: ${DEPLOY_USER}"
echo ""
# Check if running as root
if [[ $EUID -ne 0 ]]; then
echo "This script must be run as root (use sudo)"
exit 1
fi
echo "=== Updating system ==="
apt-get update
apt-get upgrade -y
echo "=== Installing Docker ==="
if ! command -v docker &> /dev/null; then
curl -fsSL https://get.docker.com | sh
systemctl enable docker
systemctl start docker
else
echo "Docker already installed"
fi
echo "=== Installing Docker Compose plugin ==="
apt-get install -y docker-compose-plugin
echo "=== Installing additional utilities ==="
apt-get install -y \
curl \
wget \
git \
netcat-openbsd \
jq \
htop \
unattended-upgrades
echo "=== Configuring automatic security updates ==="
cat > /etc/apt/apt.conf.d/20auto-upgrades << 'EOF'
APT::Periodic::Update-Package-Lists "1";
APT::Periodic::Unattended-Upgrade "1";
APT::Periodic::AutocleanInterval "7";
EOF
echo "=== Creating deploy user ==="
if ! id "${DEPLOY_USER}" &>/dev/null; then
useradd -m -s /bin/bash -G docker "${DEPLOY_USER}"
mkdir -p "/home/${DEPLOY_USER}/.ssh"
chmod 700 "/home/${DEPLOY_USER}/.ssh"
chown -R "${DEPLOY_USER}:${DEPLOY_USER}" "/home/${DEPLOY_USER}/.ssh"
echo ""
echo "*** IMPORTANT: Add your SSH public key to /home/${DEPLOY_USER}/.ssh/authorized_keys ***"
echo ""
else
echo "User ${DEPLOY_USER} already exists"
# Ensure user is in docker group
usermod -aG docker "${DEPLOY_USER}"
fi
echo "=== Creating application directory ==="
mkdir -p "${APP_DIR}"/{nginx,certbot/conf,certbot/www,saves}
chown -R "${DEPLOY_USER}:${DEPLOY_USER}" "${APP_DIR}"
echo "=== Configuring Docker registry authentication ==="
echo ""
echo "*** IMPORTANT: Run the following command to authenticate with DigitalOcean Container Registry: ***"
echo " docker login registry.digitalocean.com"
echo ""
echo "=== Creating systemd service ==="
cat > /etc/systemd/system/eagle0.service << EOF
[Unit]
Description=Eagle0 Game Servers
Requires=docker.service
After=docker.service
[Service]
Type=oneshot
RemainAfterExit=yes
WorkingDirectory=${APP_DIR}
ExecStart=/usr/bin/docker compose -f docker-compose.prod.yml up -d
ExecStop=/usr/bin/docker compose -f docker-compose.prod.yml down
User=${DEPLOY_USER}
Group=${DEPLOY_USER}
[Install]
WantedBy=multi-user.target
EOF
systemctl daemon-reload
systemctl enable eagle0
echo "=== Configuring firewall (UFW) ==="
if ! command -v ufw &> /dev/null; then
apt-get install -y ufw
fi
ufw default deny incoming
ufw default allow outgoing
ufw allow ssh
ufw allow 80/tcp
ufw allow 443/tcp
ufw --force enable
echo "=== Setting up log rotation ==="
cat > /etc/logrotate.d/eagle0 << EOF
/var/log/eagle0/*.log {
daily
missingok
rotate 14
compress
delaycompress
notifempty
create 0640 ${DEPLOY_USER} ${DEPLOY_USER}
sharedscripts
}
EOF
mkdir -p /var/log/eagle0
chown "${DEPLOY_USER}:${DEPLOY_USER}" /var/log/eagle0
echo ""
echo "=== Setup Complete ==="
echo ""
echo "Next steps:"
echo "1. Add SSH public key to /home/${DEPLOY_USER}/.ssh/authorized_keys"
echo "2. Copy docker-compose.prod.yml to ${APP_DIR}/"
echo "3. Copy nginx/nginx.conf to ${APP_DIR}/nginx/"
echo "4. Create .env file in ${APP_DIR}/ with OPENAI_API_KEY"
echo "5. Run: docker login registry.digitalocean.com"
echo "6. Get SSL certificate: (see init_ssl.sh)"
echo "7. Start services: systemctl start eagle0"
echo ""
echo "Server IP: $(curl -s ifconfig.me)"
echo ""
+2 -22
View File
@@ -18,31 +18,11 @@ static inline auto MixIn(uint64_t& hash, const uint8_t byte) {
}
// Hash an entire buffer using FNV-1a
// Fast word-at-a-time implementation - processes 8 bytes at once for better performance
// while maintaining good distribution properties for hash table use
static inline auto HashBuffer(const uint8_t* data, size_t size) -> uint64_t {
if (data == nullptr) { return FNV_OFFSET_BASIS; }
uint64_t hash = FNV_OFFSET_BASIS;
const uint8_t* end = data + size;
// Process 8 bytes at a time
while (data + 8 <= end) {
uint64_t word;
// Use memcpy to avoid alignment issues and let compiler optimize
__builtin_memcpy(&word, data, sizeof(word));
hash ^= word;
hash *= FNV_PRIME;
data += 8;
if (data != nullptr) {
for (size_t i = 0; i < size; ++i) { MixIn(hash, data[i]); }
}
// Process remaining bytes
while (data < end) {
hash ^= static_cast<uint64_t>(*data);
hash *= FNV_PRIME;
data++;
}
return hash;
}
@@ -26,18 +26,11 @@ namespace fs = std::filesystem;
static string rLocation;
auto rloc(const string& execPath) -> string {
// First check for environment variable override for Docker deployment
const char* resourcesPath = getenv("SHARDOK_RESOURCES_PATH");
if (resourcesPath != nullptr) {
return ""; // Return empty so StaticShardokFilesDirectory uses env var directly
}
// Fall back to Bazel runfiles for development
string error;
const std::unique_ptr<Runfiles> runfiles(Runfiles::Create(execPath, &error));
if (runfiles == nullptr) {
fprintf(stderr, "Error! %s\n", error.c_str());
printf("Error! %s\n", error.c_str());
abort();
// error handling
}
@@ -65,22 +58,18 @@ auto FilesystemUtils::FileExistsAtPath(const string& path) -> bool { return fs::
auto FilesystemUtils::StaticEagle0FilesDirectory() -> string { return "/usr/local/share/eagle0/"; }
auto FilesystemUtils::StaticShardokFilesDirectory() -> string {
const char* resourcesPath = getenv("SHARDOK_RESOURCES_PATH");
if (resourcesPath != nullptr) { return string(resourcesPath) + "/"; }
return rLocation + "/src/main/resources/net/eagle0/shardok/";
}
auto FilesystemUtils::MapFilesDirectory() -> string {
const char* mapsPath = getenv("SHARDOK_MAPS_PATH");
if (mapsPath != nullptr) { return string(mapsPath) + "/"; }
return StaticShardokFilesDirectory() + "maps/";
}
void FilesystemUtils::MakeDirectoryIfNecessary(const string& directoryPath) {
if (fs::create_directories(directoryPath))
fprintf(stderr, "Directory %s created\n", directoryPath.c_str());
printf("Directory %s created\n", directoryPath.c_str());
else
fprintf(stderr, "No new directory created for %s\n", directoryPath.c_str());
printf("No new directory created for %s\n", directoryPath.c_str());
}
auto FilesystemUtils::SaveFilesDirectory() -> string {
@@ -140,11 +129,11 @@ auto FilesystemUtils::AtomicallySaveToPath(const string& path, const byte_vector
if (ostr.good()) {
const int err = rename(tempPath.c_str(), path.c_str());
if (err == -1) {
fprintf(stderr, "Failed to move file to %s! Errno %d\n", path.c_str(), errno);
printf("Failed to move file to %s! Errno %d\n", path.c_str(), errno);
return false;
}
} else {
fprintf(stderr, "Failed writing to %s!\n", tempPath.c_str());
printf("Failed writing to %s!\n", tempPath.c_str());
return false;
}
@@ -7,7 +7,6 @@
#include <algorithm>
#include <bit>
#include <cstdint>
#include <cstdlib>
#define ITERABLE_BITSET_INDEX_CHECKS false
@@ -9,7 +9,6 @@
#include "MapUtils.hpp"
#include <algorithm>
#include <stdexcept>
static inline std::string StringForKey(
const std::unordered_map<std::string, std::string>& map,
@@ -14,14 +14,6 @@
#include "src/main/cpp/net/eagle0/common/RandomGenerator.hpp"
// A deterministic random generator that returns values from a fixed sequence.
// Used for testing and MCTS simulation where we want specific, predictable outcomes.
//
// Values in the sequence are treated as [0, 1] probabilities that are returned
// by DoubleZeroToOne(). The normal percentile methods (including open-ended
// variants) work as usual, so callers must provide appropriate sequences.
// For example, to get an open-ended low result of -50, provide [0.02, 0.52]
// which produces: initial=2 (triggers open-ended), accumulated=52, final=2-52=-50
class SequenceRandomGenerator : public ::RandomGenerator {
private:
const std::vector<double> sequence;
@@ -9,7 +9,6 @@
#ifndef byte_vector_h
#define byte_vector_h
#include <cstdint>
#include <cstring>
#include <fstream>
#include <sstream>
@@ -1,139 +0,0 @@
# MCTS (Monte Carlo Tree Search) Framework
This directory contains a game-agnostic Monte Carlo Tree Search implementation that can be used with any turn-based game. The framework separates the MCTS algorithm from game-specific logic through abstract interfaces.
## Core Abstract Classes
### `MCTSAction` (abstract/MCTSAction.hpp)
Abstract interface for representing game actions/moves.
**Key Methods:**
- `getIndex()` - Returns the action's unique identifier
- `getDescription()` - Human-readable description for debugging/logging
- `clone()` - Creates a deep copy of the action
- `equals()` - Compares actions for equality
### `MCTSGameState` (abstract/MCTSGameState.hpp)
Abstract interface for representing game states.
**Key Methods:**
- `hash()` - Returns a hash for transposition table lookups
- `score(playerId)` - Evaluates the state's value for a given player
- `currentPlayerId()` - Returns whose turn it is
- `isTerminal()` - Checks if the game has ended
- `getWinner()` - Returns the winning player (if terminal)
- `clone()` - Creates a deep copy of the state
- `equals()` - Compares states for equality
### `MCTSGameEngine` (abstract/MCTSGameEngine.hpp)
Abstract interface for game rule enforcement and state transitions. Many methods have efficient default implementations.
**Must Override (Pure Virtual):**
- `applyAction(state, action)` - Applies an action to create a new state
- `getLegalActions(state)` - Returns all valid moves from a state
- `isTerminal(state)` - Checks if a state is game-ending
- `evaluateState(state, playerId)` - Scores a state for a player
**Optional Overrides (Have Default Implementations):**
- `applyActionMutable(state, action)` - Apply action in-place for efficiency (default: calls applyAction)
- `filterActions(actions, state)` - Applies heuristic filtering (default: no filtering)
- `simulateRandomPlayout(state, playerId, maxDepth, policy)` - Runs simulation (default: efficient mutable implementation)
- `getActionScore(state, action, playerId)` - Scores an action (default: apply and evaluate)
- `shouldStopSearch(state, iterations, startTime)` - Early termination (default: no early stop)
**Performance Features:**
- The default `simulateRandomPlayout` clones the state once and mutates it throughout simulation for efficiency
- Games can override `applyActionMutable` to provide even more efficient in-place updates
- Games can override `simulateRandomPlayout` for custom optimizations (e.g., using internal engine state)
## MCTS Algorithm Implementation
### `AbstractMCTSAI` (abstract/AbstractMCTSAI.hpp)
The main MCTS algorithm implementation that works with any game implementing the abstract interfaces.
**Key Features:**
- **Selection**: Uses UCB1 (Upper Confidence Bound) for node selection
- **Expansion**: Adds new nodes to the search tree
- **Simulation**: Runs random playouts to estimate node values
- **Backpropagation**: Updates node statistics with simulation results
- **Multithreading**: Supports parallel MCTS with configurable thread count
- **Path Compression**: Optimizes move sequences for better performance
**Configuration Options:**
- `explorationConstant` - UCB1 exploration parameter (default: √2)
- `maxSimulationDepth` - Maximum depth for random playouts
- `maxTreeDepth` - Maximum tree depth to prevent stack overflow
- `useMultithreading` - Enable parallel search
- `numThreads` - Number of worker threads
- `simulationPolicy` - Strategy for action selection during simulation
### `MCTSNode` (abstract/MCTSNode.hpp)
Represents nodes in the MCTS search tree.
**Core Data:**
- `action` - The action that led to this node
- `actionIndex` - Index in the original actions array
- `gameState` - The game state at this node
- `visitCount` - Number of times this node was visited
- `totalReward` - Sum of simulation rewards
- `averageReward` - Average reward (totalReward / visitCount)
- `children` - Child nodes in the search tree
- `parent` - Parent node reference
**Key Methods:**
- `CanExpand()` - Checks if node has untried actions
- `GetBestChild(explorationConstant)` - UCB1-based child selection
- `GetBestFinalChild()` - Most-visited child (for final move selection)
- `CalculateUCB1(explorationConstant)` - Computes UCB1 value
## Simulation Policies
The framework supports multiple strategies for action selection during random playouts:
- **RANDOM** - Uniform random selection
- **FILTERED_RANDOM** - Random selection from filtered action set
- **BEST_IMMEDIATE** - Always choose the highest-scoring immediate action
- **WEIGHTED_BEST_IMMEDIATE** - Weighted random selection based on action scores
## Type Definitions
### `MCTSTypes` (abstract/MCTSTypes.hpp)
- `MCTSPlayerId` - Player identifier type (int)
- `MCTSSimulationPolicy` - Enumeration of simulation strategies
- `MCTSConfig` - Configuration structure for MCTS parameters
## Usage Pattern
To use this framework with your game:
1. **Implement the abstract interfaces** for your game:
```cpp
class MyGameAction : public MCTSAction { /* ... */ };
class MyGameState : public MCTSGameState { /* ... */ };
class MyGameEngine : public MCTSGameEngine { /* ... */ };
```
2. **Create and configure the AI**:
```cpp
MCTSConfig config;
config.explorationConstant = 1.414;
config.maxSimulationDepth = 100;
AbstractMCTSAI ai(playerId, config);
```
3. **Run the search**:
```cpp
auto actions = engine.getLegalActions(currentState);
auto result = ai.Search(engine, currentState, actions, timeLimit);
auto bestAction = actions[result.bestActionIndex];
```
## Testing
The framework includes comprehensive tests using a Tic-Tac-Toe implementation:
- `MockTicTacToe.hpp` - Example implementation of all abstract interfaces
- `AbstractMCTSAI_test.cpp` - Unit tests for the core algorithm
- `MCTSIntegration_test.cpp` - Integration tests with complete games
- `MCTSNode_test.cpp` - Tests for the node data structure
This demonstrates how to implement the interfaces and validates that the MCTS algorithm works correctly with any turn-based game.
File diff suppressed because it is too large Load Diff
@@ -1,106 +0,0 @@
//
// Abstract MCTS AI implementation - game agnostic
//
#ifndef EAGLE0_ABSTRACT_MCTSAI_HPP
#define EAGLE0_ABSTRACT_MCTSAI_HPP
#include <chrono>
#include <memory>
#include <unordered_map>
#include <vector>
#include "MCTSAction.hpp"
#include "MCTSGameEngine.hpp"
#include "MCTSGameState.hpp"
#include "MCTSNode.hpp"
#include "MCTSTypes.hpp"
namespace shardok {
namespace mcts {
class AbstractMCTSAI {
public:
// Search result structure
struct SearchResult {
size_t bestActionIndex = 0;
double bestScore = 0.0;
int searchDepth = 0;
int nodesEvaluated = 0;
std::chrono::milliseconds searchTime{0};
bool foundWinningMove = false;
};
explicit AbstractMCTSAI(MCTSPlayerId playerId, MCTSConfig config = MCTSConfig{});
// Main search interface
[[nodiscard]] auto Search(
const MCTSGameEngine& engine,
const MCTSGameState& initialState,
std::chrono::milliseconds timeLimit) const -> SearchResult;
// Configuration
[[nodiscard]] auto GetConfig() const -> const MCTSConfig& { return config_; }
void SetConfig(const MCTSConfig& newConfig) { config_ = newConfig; }
[[nodiscard]] auto FindNodeAtDepthWithHash(
const MCTSNode* root,
int maxDepth,
uint64_t targetHash) -> const MCTSNode*;
private:
MCTSPlayerId playerId_;
MCTSConfig config_;
// Transposition table: maps state hash -> minimum depth at which state was reached
// Used to detect and penalize longer paths to the same game state
// Cleared at the start of each Search() call
mutable std::unordered_map<uint64_t, int> transpositionTable_;
// Core MCTS algorithm
[[nodiscard]] auto BuildMCTSTree(
const MCTSGameEngine& engine,
const MCTSGameState& initialState,
std::chrono::steady_clock::time_point deadline) const -> std::unique_ptr<MCTSNode>;
// MCTS phases
[[nodiscard]] auto MCTSSelection(MCTSNode* root) const -> MCTSNode*;
[[nodiscard]] auto MCTSExpansion(MCTSNode* node, const MCTSGameEngine& engine) const
-> MCTSNode*;
[[nodiscard]] auto MCTSSimulation(
const MCTSGameEngine& engine,
const MCTSGameState& state,
MCTSPlayerId startingPlayer,
int startingPlayerFlips = 0) const -> double;
auto MCTSBackpropagation(MCTSNode* node, double reward, MCTSBackpropagationPolicy policy) const
-> void;
// Helper functions
[[nodiscard]] auto SelectSimulationAction(
const MCTSGameEngine& engine,
const MCTSGameState& state,
const std::vector<std::unique_ptr<MCTSAction>>& actions,
bool isMaximizing) const -> size_t;
// Logging
static auto LogSearchResults(
const MCTSNode* rootNode,
const MCTSNode* bestChild,
const SearchResult& result) -> void;
// Debug tree dumping
static auto DumpTreeToFile(const MCTSNode* root, const std::string& filepath) -> void;
private:
static auto
DumpNodeRecursive(const MCTSNode* node, std::ostream& out, int indentLevel, bool isLastChild)
-> void;
};
} // namespace mcts
} // namespace shardok
#endif // EAGLE0_ABSTRACT_MCTSAI_HPP
@@ -1,94 +0,0 @@
load("//tools:copts.bzl", "COPTS")
cc_library(
name = "mcts_types",
hdrs = ["MCTSTypes.hpp"],
copts = COPTS,
visibility = [
"//src/main/cpp/net/eagle0/shardok/ai/mcts:__subpackages__",
"//src/test/cpp/net/eagle0/common/mcts:__subpackages__",
"//src/test/cpp/net/eagle0/shardok/ai/mcts:__subpackages__",
],
)
cc_library(
name = "mcts_action",
hdrs = ["MCTSAction.hpp"],
copts = COPTS,
visibility = [
"//src/main/cpp/net/eagle0/shardok/ai/mcts:__subpackages__",
"//src/test/cpp/net/eagle0/common/mcts:__subpackages__",
"//src/test/cpp/net/eagle0/shardok/ai/mcts:__subpackages__",
],
)
cc_library(
name = "mcts_game_state",
hdrs = ["MCTSGameState.hpp"],
copts = COPTS,
visibility = [
"//src/main/cpp/net/eagle0/shardok/ai/mcts:__subpackages__",
"//src/test/cpp/net/eagle0/common/mcts:__subpackages__",
"//src/test/cpp/net/eagle0/shardok/ai/mcts:__subpackages__",
],
deps = [
":mcts_types",
],
)
cc_library(
name = "mcts_game_engine",
srcs = ["MCTSGameEngine.cpp"],
hdrs = ["MCTSGameEngine.hpp"],
copts = COPTS,
visibility = [
"//src/main/cpp/net/eagle0/shardok/ai/mcts:__subpackages__",
"//src/test/cpp/net/eagle0/common/mcts:__subpackages__",
"//src/test/cpp/net/eagle0/shardok/ai/mcts:__subpackages__",
],
deps = [
":mcts_action",
":mcts_game_state",
":mcts_types",
],
)
cc_library(
name = "mcts_node",
hdrs = ["MCTSNode.hpp"],
copts = COPTS,
visibility = [
"//src/main/cpp/net/eagle0/shardok/ai:__pkg__",
"//src/main/cpp/net/eagle0/shardok/ai/mcts:__subpackages__",
"//src/test/cpp/net/eagle0/common/mcts:__subpackages__",
"//src/test/cpp/net/eagle0/shardok/ai/mcts:__subpackages__",
],
deps = [
":mcts_action",
":mcts_game_state",
":mcts_types",
],
)
cc_library(
name = "abstract_mcts_ai",
srcs = ["AbstractMCTSAI.cpp"],
hdrs = ["AbstractMCTSAI.hpp"],
copts = COPTS,
visibility = [
"//src/main/cpp/net/eagle0/shardok/ai/mcts:__subpackages__",
"//src/test/cpp/net/eagle0/common/mcts:__subpackages__",
"//src/test/cpp/net/eagle0/shardok/ai/mcts:__subpackages__",
],
deps = [
":mcts_action",
":mcts_game_engine",
":mcts_game_state",
":mcts_node",
":mcts_types",
"//src/main/cpp/net/eagle0/common/mcts/util:tree_indent_util",
],
)
# Individual targets are exposed above - no need for a catch-all target
# Each component should be imported explicitly by its consumers
@@ -1,40 +0,0 @@
//
// Abstract action interface for MCTS
//
#ifndef EAGLE0_MCTS_ACTION_HPP
#define EAGLE0_MCTS_ACTION_HPP
#include <memory>
#include <string>
namespace shardok {
namespace mcts {
// Abstract interface for game actions
class MCTSAction {
public:
virtual ~MCTSAction() = default;
// Get a unique index for this action (used for command indexing)
[[nodiscard]] virtual size_t getIndex() const = 0;
// Get a human-readable description for debugging/logging
[[nodiscard]] virtual std::string getDescription() const = 0;
// Create a deep copy of this action
[[nodiscard]] virtual std::unique_ptr<MCTSAction> clone() const = 0;
// Check if two actions are equivalent
[[nodiscard]] virtual bool equals(const MCTSAction& other) const = 0;
// Check if this action requires a chance node (binary success/failure outcome)
// Examples: START_FIRE, RAISE_DEAD, EXTINGUISH_FIRE
// If true, the game engine should provide outcome probabilities
[[nodiscard]] virtual bool requiresChanceNode() const = 0;
};
} // namespace mcts
} // namespace shardok
#endif // EAGLE0_MCTS_ACTION_HPP
@@ -1,148 +0,0 @@
//
// Default implementations for MCTSGameEngine
//
#include "MCTSGameEngine.hpp"
#include <algorithm>
#include <limits>
#include <random>
#include <vector>
#include "MCTSTypes.hpp" // For MCTSInternalError
namespace shardok {
namespace mcts {
double MCTSGameEngine::simulateRandomPlayout(
const MCTSGameState& state,
MCTSPlayerId playerId,
int maxDepth,
MCTSSimulationPolicy policy) const {
// Clone state once and mutate it throughout simulation for efficiency
auto currentState = state.clone();
int depth = 0;
// Use thread-local random generator for thread safety
static thread_local std::mt19937 gen(std::random_device{}());
// Simulate until terminal or max depth
while (!currentState->isTerminal() && depth < maxDepth) {
auto actions = getLegalActions(*currentState, playerId, 0, 0);
if (actions.empty()) { break; }
size_t selectedIndex = 0;
// Select action based on policy
switch (policy) {
case MCTSSimulationPolicy::RANDOM: {
std::uniform_int_distribution<> dis(0, actions.size() - 1);
selectedIndex = dis(gen);
break;
}
case MCTSSimulationPolicy::FILTERED_RANDOM: {
auto filteredIndices = filterActions(actions, *currentState);
if (!filteredIndices.empty()) {
std::uniform_int_distribution<> dis(0, filteredIndices.size() - 1);
selectedIndex = filteredIndices[dis(gen)];
} else {
// Fall back to random if no actions pass filter
std::uniform_int_distribution<> dis(0, actions.size() - 1);
selectedIndex = dis(gen);
}
break;
}
case MCTSSimulationPolicy::BEST_IMMEDIATE: {
double bestScore = -std::numeric_limits<double>::infinity();
for (size_t i = 0; i < actions.size(); ++i) {
double score = getActionScore(
*currentState,
*actions[i],
currentState->currentPlayerId());
if (score > bestScore) {
bestScore = score;
selectedIndex = i;
}
}
break;
}
case MCTSSimulationPolicy::WEIGHTED_BEST_IMMEDIATE: {
// Score all actions and weight by ranking
std::vector<std::pair<size_t, double>> scores;
scores.reserve(actions.size());
for (size_t i = 0; i < actions.size(); ++i) {
double score = getActionScore(
*currentState,
*actions[i],
currentState->currentPlayerId());
scores.emplace_back(i, score);
}
// Sort by score (descending)
std::sort(scores.begin(), scores.end(), [](const auto& a, const auto& b) {
return a.second > b.second;
});
// Create weights based on ranking (1/rank)
std::vector<double> weights;
weights.reserve(scores.size());
for (size_t i = 0; i < scores.size(); ++i) { weights.push_back(1.0 / (i + 1.0)); }
// Select based on weights
std::discrete_distribution<> dis(weights.begin(), weights.end());
selectedIndex = scores[dis(gen)].first;
break;
}
case MCTSSimulationPolicy::WEIGHTED_HEURISTIC: {
// Get heuristic weights (fast O(1) per action)
const auto weights = getActionWeights(actions, *currentState);
// Filter out zero-weight actions
std::vector<size_t> validIndices;
std::vector<double> validWeights;
validIndices.reserve(actions.size());
validWeights.reserve(actions.size());
for (size_t i = 0; i < weights.size() && i < actions.size(); ++i) {
if (weights[i] > 0.0) {
validIndices.push_back(i);
validWeights.push_back(weights[i]);
}
}
// If all actions filtered out, this is a bug in the weighting logic
if (validWeights.empty()) {
throw MCTSInternalError(
"MCTS simulation (playout): All actions have zero weight in "
"WEIGHTED_HEURISTIC policy (action count: " +
std::to_string(actions.size()) +
") - this indicates incorrect weighting");
}
// Select based on heuristic weights
std::discrete_distribution<> dis(validWeights.begin(), validWeights.end());
selectedIndex = validIndices[dis(gen)];
break;
}
}
// Apply selected action using mutable version for efficiency
applyActionMutable(currentState, *actions[selectedIndex]);
if (!currentState) {
break; // Failed to apply action
}
depth++;
}
// Return evaluation from original player's perspective
return evaluateState(*currentState, playerId);
}
} // namespace mcts
} // namespace shardok
@@ -1,161 +0,0 @@
//
// Abstract game engine interface for MCTS
//
#ifndef EAGLE0_MCTS_GAME_ENGINE_HPP
#define EAGLE0_MCTS_GAME_ENGINE_HPP
#include <chrono>
#include <memory>
#include <vector>
#include "MCTSAction.hpp"
#include "MCTSGameState.hpp"
#include "MCTSTypes.hpp"
namespace shardok {
namespace mcts {
// Information about chance outcomes (supports both binary and multi-outcome)
struct ChanceOutcomeInfo {
std::vector<double> probabilities; // Probability of each outcome (must sum to 1.0)
std::vector<double> rolls; // Roll values for each outcome
// Factory for binary success/failure outcomes (e.g., START_FIRE)
[[nodiscard]] static ChanceOutcomeInfo binary(double successProbability) {
// -100: triggers open-ended low sequence, succeeds against any threshold
// 150: triggers open-ended high sequence, fails against any threshold
return {{successProbability, 1.0 - successProbability}, {-100.0, 150.0}};
}
// Factory for multi-outcome with fixed seeds (e.g., END_TURN)
// Uses uniformly distributed roll values to sample different random outcomes
[[nodiscard]] static ChanceOutcomeInfo multiOutcome(int numOutcomes) {
std::vector<double> probs(numOutcomes, 1.0 / numOutcomes);
std::vector<double> rollValues;
rollValues.reserve(numOutcomes);
// Spread rolls across the percentile range: 10, 30, 50, 70, 90 for 5 outcomes
for (int i = 0; i < numOutcomes; ++i) {
rollValues.push_back(10.0 + (80.0 * i) / (numOutcomes - 1));
}
return {probs, rollValues};
}
[[nodiscard]] const std::vector<double>& getRepresentativeRolls() const { return rolls; }
[[nodiscard]] const std::vector<double>& getProbabilities() const { return probabilities; }
};
// Backward compatibility alias
using BinaryOutcomeInfo = ChanceOutcomeInfo;
// Abstract interface for game engines
class MCTSGameEngine {
public:
virtual ~MCTSGameEngine() = default;
// Apply an action to a state and return the resulting state
// If deterministicRoll is provided (0.0-100.0), use that for any random outcomes
[[nodiscard]] virtual std::unique_ptr<MCTSGameState> applyAction(
const MCTSGameState& state,
const MCTSAction& action,
double deterministicRoll = -1.0) const = 0;
// Apply an action to a mutable state in-place (for efficient simulation)
// Default: clone, apply, and move the result back
// Override this for better performance
virtual void applyActionMutable(std::unique_ptr<MCTSGameState>& state, const MCTSAction& action)
const {
state = applyAction(*state, action);
}
// Get all legal actions for the current state with player flip tracking
// Default implementation ignores flip tracking and calls base version
[[nodiscard]] virtual std::vector<std::unique_ptr<MCTSAction>> getLegalActions(
const MCTSGameState& state,
MCTSPlayerId /*rootPlayerId*/,
int /*currentPlayerFlips*/,
int /*maxPlayerFlips*/) const = 0;
// Check if a state is terminal
[[nodiscard]] virtual bool isTerminal(const MCTSGameState& state) const = 0;
// Evaluate a state from the perspective of a player
[[nodiscard]] virtual double evaluateState(const MCTSGameState& state, MCTSPlayerId playerId)
const = 0;
// Filter actions based on game-specific heuristics
// Returns indices of actions to keep
// Default: no filtering (return all indices)
[[nodiscard]] virtual std::vector<size_t> filterActions(
const std::vector<std::unique_ptr<MCTSAction>>& actions,
const MCTSGameState& /*state*/) const {
std::vector<size_t> indices;
indices.reserve(actions.size());
for (size_t i = 0; i < actions.size(); ++i) { indices.push_back(i); }
return indices;
}
// Get heuristic weights for actions (used by WEIGHTED_HEURISTIC simulation policy)
// Returns weights corresponding to each action (same size as actions vector)
// Weight of 0.0 = never select, higher = more likely to select
// Default: uniform weights (all actions equally likely)
[[nodiscard]] virtual std::vector<double> getActionWeights(
const std::vector<std::unique_ptr<MCTSAction>>& actions,
const MCTSGameState& /*state*/) const {
// Default: uniform weights
return std::vector<double>(actions.size(), 1.0);
}
// Simulate a random playout from the given state
// Default implementation uses policy to select actions
[[nodiscard]] virtual double simulateRandomPlayout(
const MCTSGameState& state,
MCTSPlayerId playerId,
int maxDepth,
MCTSSimulationPolicy policy) const;
// Get the immediate score of applying an action
// Default: apply the action and evaluate the resulting state
[[nodiscard]] virtual double getActionScore(
const MCTSGameState& state,
const MCTSAction& action,
MCTSPlayerId playerId) const {
auto newState = applyAction(state, action);
if (!newState) { return 0.0; }
return evaluateState(*newState, playerId);
}
// Check if we should stop searching (e.g., time limit, found winning move)
[[nodiscard]] virtual bool shouldStopSearch(
const MCTSGameState& /*state*/,
int /*iterations*/,
std::chrono::steady_clock::time_point /*startTime*/) const {
// Default: no early stopping
return false;
}
// Map a filtered action index back to the original unfiltered index
// This is needed when getLegalActions() applies filtering - the returned actions
// may be a subset of all available actions, and this maps back to the original index.
// Default implementation: no filtering, so filtered index = original index
[[nodiscard]] virtual size_t mapFilteredIndexToOriginal(
size_t filteredIndex,
const MCTSGameState& state) const {
// Default: no filtering, index stays the same
(void)state; // Suppress unused parameter warning
return filteredIndex;
}
// Get binary outcome information for an action that requires a chance node
// Only called for actions where action.requiresChanceNode() returns true
// Returns success probability for binary success/failure actions
[[nodiscard]] virtual BinaryOutcomeInfo getBinaryOutcomeInfo(
const MCTSGameState& state,
const MCTSAction& action) const = 0;
};
} // namespace mcts
} // namespace shardok
#endif // EAGLE0_MCTS_GAME_ENGINE_HPP
@@ -1,50 +0,0 @@
//
// Abstract game state interface for MCTS
//
#ifndef EAGLE0_MCTS_GAME_STATE_HPP
#define EAGLE0_MCTS_GAME_STATE_HPP
#include <cstdint>
#include <memory>
#include <string>
#include "MCTSTypes.hpp"
namespace shardok {
namespace mcts {
// Abstract interface for game states
class MCTSGameState {
public:
virtual ~MCTSGameState() = default;
// Compute hash for transposition table
[[nodiscard]] virtual uint64_t hash() const = 0;
// Evaluate the state from the perspective of the given player
[[nodiscard]] virtual double score(MCTSPlayerId playerId) const = 0;
// Get the player whose turn it is
[[nodiscard]] virtual MCTSPlayerId currentPlayerId() const = 0;
// Check if the game has ended
[[nodiscard]] virtual bool isTerminal() const = 0;
// Create a deep copy of the state
[[nodiscard]] virtual std::unique_ptr<MCTSGameState> clone() const = 0;
// Check if two states are equivalent
[[nodiscard]] virtual bool equals(const MCTSGameState& other) const = 0;
// Get winner if terminal, or -1 if not terminal or draw
[[nodiscard]] virtual MCTSPlayerId getWinner() const = 0;
// Optional: Get a string representation for debugging
[[nodiscard]] virtual std::string toString() const { return "MCTSGameState"; }
};
} // namespace mcts
} // namespace shardok
#endif // EAGLE0_MCTS_GAME_STATE_HPP
@@ -1,277 +0,0 @@
//
// Abstract MCTS Node structure for game-agnostic implementation
//
#ifndef EAGLE0_ABSTRACT_MCTSNODE_HPP
#define EAGLE0_ABSTRACT_MCTSNODE_HPP
#include <cmath>
#include <limits>
#include <memory>
#include <vector>
#include "MCTSAction.hpp"
#include "MCTSGameState.hpp"
#include "MCTSTypes.hpp"
namespace shardok {
namespace mcts {
// Node type for MCTS tree
enum class NodeType {
DECISION, // Player chooses an action (standard MCTS node)
CHANCE // Nature determines outcome (for probabilistic actions)
};
// Abstract MCTS Node structure
struct MCTSNode {
// Node type
NodeType nodeType = NodeType::DECISION;
// Action information
std::unique_ptr<MCTSAction> action; // The action that led to this node (null for root)
size_t actionIndex = SIZE_MAX; // Index in the original actions array (SIZE_MAX for root)
// Score information
double immediateScore = 0.0;
double lookaheadScore = 0.0;
// Game state after this action
std::unique_ptr<MCTSGameState> gameState;
// MCTS statistics
int visitCount = 0;
double totalReward = 0.0;
double averageReward = 0.0;
mutable double ucb1Value = 0.0;
double actionWeight = 1.0; // Prior probability/weight for this action (from heuristics)
// Tree structure
std::vector<std::unique_ptr<MCTSNode>> children;
size_t nextUntriedActionIndex = 0; // Next action to expand
size_t totalActions = 0; // Total number of available actions
MCTSNode* parent = nullptr;
// Chance node specific fields (only used when nodeType == CHANCE)
std::vector<double> outcomeProbabilities; // Probability of each outcome
std::vector<double> outcomeRolls; // Representative roll for each outcome
// Game context
MCTSPlayerId playerId;
int depth = 0;
bool isTerminal = false;
int playerFlips = 0; // Number of times the active player has changed from root player
bool isMaximizingPlayer = true; // True if this node is maximizing for root player
// Transposition detection
uint64_t stateHash = 0;
bool isRedundant = false; // True if this node represents a duplicate state
// Constructor for root node
MCTSNode(std::unique_ptr<MCTSGameState> state, MCTSPlayerId pid, int d)
: gameState(std::move(state)),
playerId(pid),
depth(d),
playerFlips(0),
isMaximizingPlayer(true) {
if (gameState) {
stateHash = gameState->hash();
isTerminal = gameState->isTerminal();
}
}
// Constructor for child node
MCTSNode(
std::unique_ptr<MCTSAction> act,
std::unique_ptr<MCTSGameState> state,
MCTSPlayerId pid,
int d,
size_t actIdx = SIZE_MAX,
int flips = 0,
bool isMaximizing = true,
double weight = 1.0)
: action(std::move(act)),
actionIndex(actIdx),
gameState(std::move(state)),
actionWeight(weight),
playerId(pid),
depth(d),
playerFlips(flips),
isMaximizingPlayer(isMaximizing) {
if (gameState) {
stateHash = gameState->hash();
isTerminal = gameState->isTerminal();
}
}
// Iterative destructor to avoid stack overflow with deep trees
~MCTSNode() {
std::vector<std::unique_ptr<MCTSNode>> nodesToDestroy;
nodesToDestroy.swap(children);
while (!nodesToDestroy.empty()) {
std::vector<std::unique_ptr<MCTSNode>> currentBatch;
currentBatch.swap(nodesToDestroy);
for (const auto& node : currentBatch) {
if (node && !node->children.empty()) {
for (auto& child : node->children) {
nodesToDestroy.push_back(std::move(child));
}
node->children.clear();
}
}
}
}
// Calculate UCB1 value for this node from parent's perspective
// Uses prior-weighted formula similar to AlphaGo:
// UCB = Q + c * P * sqrt(N_parent) / (1 + N_child)
// Where P is the action weight (prior probability from heuristics)
[[nodiscard]] double CalculateUCB1(
const double explorationConstant,
const int parentVisitCount,
const bool parentIsMaximizing) const {
// Exploitation: use lookahead score (minimax value)
// For minimizing nodes, negate the score to prefer low child values
const double exploitationValue = parentIsMaximizing ? lookaheadScore : -lookaheadScore;
// Exploration: prior-weighted formula (AlphaGo-style)
// Actions with weight 0.0 (like FLEE_COMMAND) get no exploration bonus
// Unvisited nodes get: c * weight * sqrt(N_parent)
// This prevents bad actions from dominating exploration due to infinite UCB
const double explorationValue = explorationConstant * actionWeight *
std::sqrt(parentVisitCount) / (1.0 + visitCount);
return exploitationValue + explorationValue;
}
// Check if this node can be expanded
[[nodiscard]] bool CanExpand() const { return nextUntriedActionIndex < totalActions; }
// Check if this is a chance node
[[nodiscard]] bool IsChanceNode() const { return nodeType == NodeType::CHANCE; }
// Check if this is a decision node
[[nodiscard]] bool IsDecisionNode() const { return nodeType == NodeType::DECISION; }
// Get best child from chance node (probability-weighted selection)
// For chance nodes, we want to explore outcomes proportionally to their probability
[[nodiscard]] MCTSNode* GetBestChanceChild() const {
if (children.empty() || !IsChanceNode()) return nullptr;
// Find the outcome that is most under-explored relative to its probability
// Expected visits for outcome i: total_visits * probability[i]
// Actual visits: child[i]->visitCount
// Deficit: expected - actual
size_t bestIndex = 0;
double bestDeficit = -std::numeric_limits<double>::max();
for (size_t i = 0; i < children.size(); i++) {
if (!children[i] || children[i]->isRedundant) continue;
const double expectedVisits = visitCount * outcomeProbabilities[i];
const double actualVisits = static_cast<double>(children[i]->visitCount);
const double deficit = expectedVisits - actualVisits;
if (deficit > bestDeficit) {
bestDeficit = deficit;
bestIndex = i;
}
}
return children[bestIndex].get();
}
// Get best child based on UCB1
[[nodiscard]] MCTSNode* GetBestChild(const double explorationConstant) const {
if (children.empty()) return nullptr;
MCTSNode* bestChild = nullptr;
double bestValue = -std::numeric_limits<double>::max();
for (auto& child : children) {
// Skip redundant nodes
if (child->isRedundant) continue;
// Calculate UCB1 value using the helper function
const double value =
child->CalculateUCB1(explorationConstant, visitCount, isMaximizingPlayer);
// Debug logging for UCB selection
static bool enableUCBDebug = false;
if (enableUCBDebug && child->visitCount > 0) {
const double exploitationValue =
isMaximizingPlayer ? child->lookaheadScore : -child->lookaheadScore;
const double explorationValue =
explorationConstant * std::sqrt(std::log(visitCount) / child->visitCount);
printf(" UCB: %s lookahead=%.2f expl=%.2f (+%.2f) = %.2f [%s]\n",
isMaximizingPlayer ? "MAX" : "MIN",
child->lookaheadScore,
exploitationValue,
explorationValue,
value,
child->action ? child->action->getDescription().c_str() : "root");
}
if (value > bestValue) {
bestValue = value;
bestChild = child.get();
}
}
return bestChild;
}
// Get best child based on visit count (for final selection)
[[nodiscard]] MCTSNode* GetBestFinalChild() const {
if (children.empty()) return nullptr;
MCTSNode* bestChild = nullptr;
int bestVisits = 0;
double bestScore = isMaximizingPlayer ? -std::numeric_limits<double>::max()
: std::numeric_limits<double>::max();
for (const auto& child : children) {
// Skip redundant nodes
if (child->isRedundant) continue;
// Prefer most-visited node (robust child selection)
if (child->visitCount > bestVisits) {
bestVisits = child->visitCount;
bestScore = child->lookaheadScore;
bestChild = child.get();
} else if (child->visitCount == bestVisits) {
// Tie-break on lookahead score (minimax value, not poisoned average)
// Maximizing: prefer higher score (better for root player)
// Minimizing: prefer lower score (worse for root player)
const bool shouldReplace = isMaximizingPlayer ? (child->lookaheadScore > bestScore)
: (child->lookaheadScore < bestScore);
if (shouldReplace) {
bestScore = child->lookaheadScore;
bestChild = child.get();
}
}
}
// If no child was visited, fall back to lookahead score
if (!bestChild && !children.empty()) {
for (const auto& child : children) {
if (child->isRedundant) continue;
const bool shouldReplace = isMaximizingPlayer ? (child->lookaheadScore > bestScore)
: (child->lookaheadScore < bestScore);
if (shouldReplace) {
bestScore = child->lookaheadScore;
bestChild = child.get();
}
}
}
return bestChild;
}
};
} // namespace mcts
} // namespace shardok
#endif // EAGLE0_ABSTRACT_MCTSNODE_HPP
@@ -1,60 +0,0 @@
//
// Core types for abstract MCTS implementation
//
#ifndef EAGLE0_MCTS_TYPES_HPP
#define EAGLE0_MCTS_TYPES_HPP
#include <stdexcept>
#include <string>
namespace shardok {
namespace mcts {
// Exception thrown when MCTS encounters an internal error that indicates a bug
class MCTSInternalError : public std::logic_error {
public:
explicit MCTSInternalError(const std::string& message) : std::logic_error(message) {}
};
// Abstract player identifier type
using MCTSPlayerId = int;
// Simulation policy for MCTS rollouts
enum class MCTSSimulationPolicy {
RANDOM, // Pure random selection
FILTERED_RANDOM, // Random from filtered actions
BEST_IMMEDIATE, // Choose best immediate score
WEIGHTED_BEST_IMMEDIATE, // Random weighted by score ranking
WEIGHTED_HEURISTIC // Random weighted by fast heuristics (no score evaluation)
};
// Backpropagation policy for MCTS tree updates
enum class MCTSBackpropagationPolicy {
AVERAGING, // Traditional MCTS averaging (for stochastic/single-player games)
MINIMAX // Minimax backup (for deterministic adversarial games)
};
// Configuration for MCTS algorithm
struct MCTSConfig {
double explorationConstant = 1.414; // UCB1 constant (sqrt(2) by default)
int maxSimulationDepth = 1000; // Maximum depth for rollout
int maxTreeDepth = 2000; // Maximum tree depth to prevent stack overflow
bool useMultithreading = true; // Enable parallel MCTS
int numThreads = 16; // Number of threads for parallel MCTS
MCTSSimulationPolicy simulationPolicy = MCTSSimulationPolicy::BEST_IMMEDIATE;
MCTSBackpropagationPolicy backpropagationPolicy = MCTSBackpropagationPolicy::AVERAGING;
int maxPlayerFlips = 0; // Maximum number of player changes for tree expansion
// (0 = expand through current player's turn only,
// 1 = expand through opponent's first response, etc.)
int maxSimulationFlips = 0; // Maximum player flips for leaf evaluation
// When evaluating a leaf at playerFlips < maxSimulationFlips,
// simulate forward to this phase for fair comparison
// (default 0 = evaluate leaves as-is, backward compatible)
std::string debugDumpPath = ""; // If non-empty, dump MCTS tree to this file path
};
} // namespace mcts
} // namespace shardok
#endif // EAGLE0_MCTS_TYPES_HPP
@@ -1,8 +0,0 @@
load("@rules_cc//cc:defs.bzl", "cc_library")
cc_library(
name = "tree_indent_util",
srcs = ["TreeIndentUtil.cpp"],
hdrs = ["TreeIndentUtil.hpp"],
visibility = ["//visibility:public"],
)
@@ -1,53 +0,0 @@
//
// Utility functions for processing tree indentation with UTF-8 box drawing characters
//
#include "TreeIndentUtil.hpp"
namespace mcts::util {
namespace {
// Box drawing characters for tree visualization
constexpr const char* kBranch = "\xE2\x94\x9C"; // ├
constexpr const char* kCorner = "\xE2\x94\x94"; // └
constexpr const char* kVertical = "\xE2\x94\x82"; // │
constexpr const char* kHorizontal = "\xE2\x94\x80"; // ─
} // namespace
std::string BuildTreeIndent(int indentLevel, bool isLastChild) {
std::string indent;
for (int i = 0; i < indentLevel; ++i) {
if (i == indentLevel - 1) {
indent += isLastChild ? kCorner : kBranch;
indent += kHorizontal;
indent += " ";
} else {
indent += " ";
}
}
return indent;
}
std::string ConvertBranchToContinuation(const std::string& indent) {
std::string result = indent;
const std::string replacement = std::string(kVertical) + " ";
// Replace ├ and └ with │
size_t pos = 0;
while ((pos = result.find(kBranch, pos)) != std::string::npos) {
result.replace(pos, 3, replacement); // UTF-8 chars are 3 bytes
pos += replacement.size();
}
pos = 0;
while ((pos = result.find(kCorner, pos)) != std::string::npos) {
result.replace(pos, 3, replacement);
pos += replacement.size();
}
return result;
}
} // namespace mcts::util
@@ -1,22 +0,0 @@
//
// Utility functions for processing tree indentation with UTF-8 box drawing characters
//
#ifndef EAGLE0_TREE_INDENT_UTIL_HPP
#define EAGLE0_TREE_INDENT_UTIL_HPP
#include <string>
namespace mcts::util {
// Builds tree indentation string for a node at a given depth
// Returns string like " ├─ " or " └─ " with proper spacing
std::string BuildTreeIndent(int indentLevel, bool isLastChild);
// Converts tree branch characters (├ and └) to continuation lines (│) for sub-content
// This preserves the tree structure when displaying additional info below a node
std::string ConvertBranchToContinuation(const std::string& indent);
} // namespace mcts::util
#endif // EAGLE0_TREE_INDENT_UTIL_HPP
@@ -9,6 +9,7 @@
#include <ranges>
#include <unordered_map>
#include "src/main/cpp/net/eagle0/shardok/library/settings/GameSettings.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/util/HexMapUtils.hpp"
namespace shardok {
@@ -75,28 +76,30 @@ auto MinDistanceIncludingBraving(
auto EffectiveDistance(
const Unit* unit,
const HexMap* map,
const AttackLocations& attackLocations,
const MapId& mapId,
const APDCache& apdCache,
const BattalionTypeGetter& battalionTypeGetter,
ActionPoints braveWaterCost) -> DIST_T {
const AttackLocations& attackLocations,
const SettingsGetter& settings,
const int braveWaterCost) -> DIST_T {
return EffectiveDistance(
unit,
map,
attackLocations.LocationsWithEnemyInRange(unit),
mapId,
apdCache,
battalionTypeGetter,
attackLocations.LocationsWithEnemyInRange(unit),
settings,
braveWaterCost);
}
auto EffectiveDistance(
const Unit* unit,
const HexMap* map,
const CoordsSet& locations,
const MapId& mapId,
const APDCache& apdCache,
const BattalionTypeGetter& battalionTypeGetter,
ActionPoints braveWaterCost) -> DIST_T {
const auto mapId = ActionPointDistancesCache::GetMapId(map);
const auto& battType = battalionTypeGetter(unit->battalion().type());
const CoordsSet& locations,
const SettingsGetter& settings,
const int braveWaterCost) -> DIST_T {
const auto& battType = settings.GetBattalionType(unit->battalion().type());
const auto* notBravingApd = apdCache->GetRaw(map, mapId, battType, false);
const ActionPointDistances* bravingApd = nullptr;
if (battType->allowsBraveWater) {
@@ -129,12 +132,12 @@ auto GenerateTargetPriorities(
const vector<const Unit*>& remainingUnits,
const APDCache& apdCache,
const ALCache& alCache,
const BattalionTypeGetter& battalionTypeGetter,
ActionPoints braveWaterCost,
const MapId& mapId,
const SettingsGetter& settings,
const bool isLateGame) -> vector<TargetPriorityList> {
auto cc = map->column_count();
const auto mapId = ActionPointDistancesCache::GetMapId(map);
const auto braveWaterCost = settings.Backing().brave_water_action_point_cost();
vector<TargetPriorityList> allTargetsUnitsAndDistances{};
allTargetsUnitsAndDistances.reserve(remainingUnits.size());
@@ -158,7 +161,7 @@ auto GenerateTargetPriorities(
vector<TargetAndDistance> targetsWithDistance;
// Get APDs directly from cache (now with built-in thread-local optimization)
const auto& battType = battalionTypeGetter(unit->battalion().type());
const auto& battType = settings.GetBattalionType(unit->battalion().type());
const auto* notBravingApd = apdCache->GetRaw(map, mapId, battType, false);
const ActionPointDistances* bravingApd = nullptr;
if (battType->allowsBraveWater) {
@@ -5,12 +5,12 @@
#ifndef EAGLE0_AIATTACKGROUPS_HPP
#define EAGLE0_AIATTACKGROUPS_HPP
#include <functional>
#include <vector>
#include "src/main/cpp/net/eagle0/shardok/ai/AIAttackLocations.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/action_point_distances/ActionPointDistancesCache.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/map/CoordsSet.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/settings/GameSettings.hpp"
#include "src/main/flatbuffer/net/eagle0/shardok/storage/game_state.hpp"
#include "src/main/flatbuffer/net/eagle0/shardok/storage/player_info.hpp"
#include "src/main/flatbuffer/net/eagle0/shardok/storage/unit.hpp"
@@ -22,8 +22,6 @@ using Unit = net::eagle0::shardok::storage::fb::Unit;
using net::eagle0::shardok::storage::fb::PlayerInfo;
using std::vector;
using BattalionTypeGetter = std::function<BattalionTypeSPtr(BattalionTypeId)>;
struct TargetAndAttackLocations {
Coords target;
CoordsSet attackLocations;
@@ -43,18 +41,20 @@ struct TargetPriorityList {
auto EffectiveDistance(
const Unit* unit,
const HexMap* map,
const AttackLocations& attackLocations,
const MapId& mapId,
const APDCache& apdCache,
const BattalionTypeGetter& battalionTypeGetter,
ActionPoints braveWaterCost) -> DIST_T;
const AttackLocations& attackLocations,
const SettingsGetter& settings,
int braveWaterCost) -> DIST_T;
auto EffectiveDistance(
const Unit* unit,
const HexMap* map,
const CoordsSet& locations,
const MapId& mapId,
const APDCache& apdCache,
const BattalionTypeGetter& battalionTypeGetter,
ActionPoints braveWaterCost) -> DIST_T;
const CoordsSet& locations,
const SettingsGetter& settings,
int braveWaterCost) -> DIST_T;
auto EffectiveDistance(
const Unit* unit,
@@ -71,8 +71,8 @@ auto GenerateTargetPriorities(
const vector<const Unit*>& remainingUnits,
const APDCache& apdCache,
const ALCache& alCache,
const BattalionTypeGetter& battalionTypeGetter,
ActionPoints braveWaterCost,
const MapId& mapId,
const SettingsGetter& settings,
bool isLateGame = false) -> vector<TargetPriorityList>;
} // namespace shardok
@@ -4,7 +4,6 @@
#include "AIAttackerStrategySelector.hpp"
#include "AIAttackGroups.hpp"
#include "src/main/cpp/net/eagle0/shardok/ai/AIFleeDecisionCalculator.hpp"
#include "src/main/cpp/net/eagle0/shardok/ai/AIScoreUtilities.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/util/HexMapUtils.hpp"
@@ -21,13 +20,11 @@ auto AIAttackerStrategySelector::BestAttackerStrategy(
const PlayerId attackerPid,
const GameStateW& gameState,
const CoordsSet& criticalTileCoords,
int maxRounds,
const APDCache& apdCache,
const ALCache& alCache,
const BattalionTypeGetter& battalionTypeGetter,
ActionPoints braveWaterCost,
const SettingsGetter& settings,
const AIWaterCrossingCommandChooser& waterCrossingCommandChooser,
const CommandListSPtr& /*availableCommands*/) -> AIStrategy {
const vector<CommandProto>& /*availableCommands*/) -> AIStrategy {
uint32_t attackerUnitCount = 0;
int defenderOccupiedCriticalTileCount = 0;
bool canFlee = false;
@@ -66,14 +63,12 @@ auto AIAttackerStrategySelector::BestAttackerStrategy(
if (canFlee && AIFleeDecisionCalculator::ShouldConsiderFleeing(
attackerPid,
gameState,
maxRounds,
settings,
FLEE_CONSIDERATION_THRESHOLD)) {
chosenStrategy = FleeStrategy;
} else if (const CoordsSet startCrossingLocations =
waterCrossingCommandChooser.StartCrossingFrom(
battalionTypeGetter,
gameState,
criticalTileCoords);
waterCrossingCommandChooser
.StartCrossingFrom(settings, gameState, criticalTileCoords);
!startCrossingLocations.empty()) {
chosenStrategy = CrossRiversStrategy(startCrossingLocations);
} else if (attackerUnitCount < criticalTileCoords.size()) {
@@ -88,8 +83,8 @@ auto AIAttackerStrategySelector::BestAttackerStrategy(
attackerUnits,
apdCache,
alCache,
battalionTypeGetter,
braveWaterCost));
ActionPointDistancesCache::GetMapId(gameState->hex_map()),
settings));
}
// If any critical tile is occupied by the defender, attack the castles.
// Otherwise, try to hold the castles.
@@ -105,8 +100,8 @@ auto AIAttackerStrategySelector::BestAttackerStrategy(
attackerUnits,
apdCache,
alCache,
battalionTypeGetter,
braveWaterCost));
ActionPointDistancesCache::GetMapId(gameState->hex_map()),
settings));
} else {
chosenStrategy = HoldCastlesStrategy;
}
@@ -6,12 +6,9 @@
#define EAGLE0_AIATTACKERSTRATEGYSELECTOR_HPP
#include "src/main/cpp/net/eagle0/shardok/ai/AIAttackLocations.hpp"
#include "src/main/cpp/net/eagle0/shardok/ai/AICommonTypes.hpp"
#include "src/main/cpp/net/eagle0/shardok/ai/AIStrategy.hpp"
#include "src/main/cpp/net/eagle0/shardok/ai/AIWaterCrossingCommandChooser.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/GameStateW.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/ShardokCommand.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/action_point_distances/ActionPointDistancesCache.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/map/CoordsSet.hpp"
namespace shardok {
@@ -22,13 +19,11 @@ public:
PlayerId attackerPid,
const GameStateW& gameState,
const CoordsSet& criticalTileCoords,
int maxRounds,
const APDCache& apdCache,
const ALCache& alCache,
const BattalionTypeGetter& battalionTypeGetter,
ActionPoints braveWaterCost,
const SettingsGetter& settings,
const AIWaterCrossingCommandChooser& waterCrossingCommandChooser,
const CommandListSPtr& availableCommands) -> AIStrategy;
const vector<CommandProto>& availableCommands) -> AIStrategy;
};
} // namespace shardok
@@ -1,560 +0,0 @@
//
// Command evaluator for AI lookahead search.
// Extracted from AIScoreCalculator to separate concerns.
//
#include "AICommandEvaluator.hpp"
#include <chrono>
#include <cmath>
#include <future>
#include <limits>
#include "AICommandFilter.hpp"
#include "TranspositionTable.hpp"
#include "src/main/cpp/net/eagle0/common/SequenceRandomGenerator.hpp"
#include "src/main/cpp/net/eagle0/shardok/ai/score/AIScoreCalculator.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/ShardokEngine.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/util/HexCubeUtils.hpp"
namespace shardok {
// No need to forward declare internal functions - use the public interface instead
// Helper constants and static variables
static const std::vector<double> _averageSequence = {0.5};
static const auto _averageGenerator = std::make_shared<SequenceRandomGenerator>(_averageSequence);
#define MULTITHREAD true
#define LOGGING_ 0
// Helper function to determine if a command type is deterministic
static auto IsDeterministic(const CommandType type) -> bool {
switch (type) {
case net::eagle0::shardok::common::MOVE_COMMAND:
case net::eagle0::shardok::common::CONTROL_COMMAND:
case net::eagle0::shardok::common::METEOR_START_COMMAND:
case net::eagle0::shardok::common::METEOR_TARGET_COMMAND:
case net::eagle0::shardok::common::METEOR_CANCEL_COMMAND:
case net::eagle0::shardok::common::END_TURN_COMMAND:
case net::eagle0::shardok::common::PLACE_UNIT_COMMAND:
case net::eagle0::shardok::common::PLACE_HIDDEN_UNIT_COMMAND:
case net::eagle0::shardok::common::UNIT_STOP_COMMAND:
case net::eagle0::shardok::common::UNIT_REST_COMMAND:
case net::eagle0::shardok::common::FLEE_COMMAND:
case net::eagle0::shardok::common::REINFORCE_COMMAND:
case net::eagle0::shardok::common::RETREAT_COMMAND:
case net::eagle0::shardok::common::END_PLAYER_SETUP_COMMAND:
case net::eagle0::shardok::common::HIDE_COMMAND:
case net::eagle0::shardok::common::FORTIFY_COMMAND:
case net::eagle0::shardok::common::BECOME_OUTLAW_COMMAND:
case net::eagle0::shardok::common::HOLY_WAVE_COMMAND:
case net::eagle0::shardok::common::REPAIR_COMMAND: return true;
default: return false;
}
}
// Helper function to sort commands by score
static auto CommandSorter(
const AICommandEvaluator::IndexAndScore& l,
const AICommandEvaluator::IndexAndScore& r) -> bool {
if (l.lookaheadScore < r.lookaheadScore) return true;
if (l.lookaheadScore > r.lookaheadScore) return false;
// At this point the scores are tied
if (l.immediateScore < r.immediateScore) return true;
if (l.immediateScore > r.immediateScore) return false;
return false;
}
AICommandEvaluator::AICommandEvaluator(
const AIScoreCalculator& scorer,
const APDCache& apdCache,
BattalionTypeGetter battalionTypeGetter)
: scorer_(scorer),
apdCache_(apdCache),
battalionTypeGetter_(std::move(battalionTypeGetter)) {} // Move the function object
auto AICommandEvaluator::PerformLookahead(
const PlayerId pid,
const bool isDefender,
const int remainingLookahead,
const int maxRepeatCount,
const std::shared_ptr<ShardokEngine>& innerEngine,
const ScoreValue currentUtility,
const AIStrategy& attackerStrategy,
const CoordsSet& allCastleCoords,
std::chrono::steady_clock::time_point deadline) const -> std::future<ScoreValue> {
// Check transposition table before expensive computation
auto cachedScore =
g_transpositionTable.probe(innerEngine->GetCurrentGameState(), remainingLookahead, pid);
if (cachedScore.has_value()) {
// Return cached result immediately
std::promise<ScoreValue> p;
p.set_value(*cachedScore);
return p.get_future();
}
const auto nextUtility = currentUtility;
// Check if we've reached the depth limit before making recursive calls
if (remainingLookahead <= 0) {
// Store the current utility in the transposition table and return it
// Note: Store with depth 1 since depth 0 indicates an empty entry in the transposition
// table
g_transpositionTable.store(innerEngine->GetCurrentGameState(), 1, pid, nextUtility);
std::promise<ScoreValue> p;
p.set_value(nextUtility);
return p.get_future();
}
if (const CommandListSPtr nextCommands = innerEngine->GetAvailableCommandsForAIPlayer(pid);
nextCommands && !nextCommands->empty()) {
// Get the future from FindBestCommand without calling .get()
auto bestCommandFuture = FindBestCommand(
pid,
isDefender,
remainingLookahead - 1,
maxRepeatCount,
*innerEngine,
attackerStrategy,
nextUtility,
allCastleCoords,
deadline);
// Return a future that chains the best command evaluation
return std::async(
std::launch::deferred,
[bestCommandFuture = std::move(bestCommandFuture),
innerEngine,
pid,
nextUtility,
remainingLookahead]() mutable -> ScoreValue {
const auto [index, type, lookaheadScore, immediateScore] =
bestCommandFuture.get();
ScoreValue resultScore;
if (auto& nextCommand =
innerEngine->GetAvailableCommandsForAIPlayer(pid)->at(index);
nextCommand->GetCommandType() !=
net::eagle0::shardok::common::END_TURN_COMMAND) {
resultScore = immediateScore;
} else {
resultScore = nextUtility;
}
// Store in transposition table before returning
g_transpositionTable.store(
innerEngine->GetCurrentGameState(),
remainingLookahead,
pid,
resultScore);
return resultScore;
});
}
// No commands available, store and return the current utility as a future
g_transpositionTable
.store(innerEngine->GetCurrentGameState(), remainingLookahead, pid, nextUtility);
std::promise<ScoreValue> p;
p.set_value(nextUtility);
return p.get_future();
}
auto AICommandEvaluator::EvaluateWithRandomness(
const PlayerId pid,
const bool isDefender,
const uint32_t commandIndex,
const int remainingLookahead,
const int maxRepeatCount,
const std::shared_ptr<RandomGenerator>& randomGenerator,
const ShardokEngine& guessedEngine,
const AIStrategy& attackerStrategy,
const CoordsSet& allCastleCoords,
std::chrono::steady_clock::time_point deadline) const -> ImmediateAndLookaheadScore {
ImmediateAndLookaheadScore returnValue{};
// Check if we've exceeded the deadline
if (std::chrono::steady_clock::now() > deadline) {
// Return with a default score and an empty future that resolves immediately
std::promise<ScoreValue> p;
p.set_value(0.0); // Default timeout score
returnValue.immediateScore = 0.0;
returnValue.lookaheadScore = p.get_future();
return returnValue;
}
auto innerEngine = std::make_shared<ShardokEngine>(guessedEngine, false);
innerEngine->PostCommand(pid, commandIndex, randomGenerator);
auto innerUtility = scorer_.GuessedStateScore(
isDefender,
innerEngine->GetCurrentGameState(),
attackerStrategy,
allCastleCoords);
returnValue.immediateScore = innerUtility;
if (remainingLookahead <= 0) {
std::promise<ScoreValue> p;
returnValue.lookaheadScore = p.get_future();
p.set_value(innerUtility);
} else {
auto lookaheadLambda = [this,
pid,
isDefender,
remainingLookahead,
maxRepeatCount,
innerEngine,
attackerStrategy,
innerUtility,
&allCastleCoords,
deadline]() -> ScoreValue {
auto lookaheadFuture = PerformLookahead(
pid,
isDefender,
remainingLookahead,
maxRepeatCount,
innerEngine,
innerUtility,
attackerStrategy,
allCastleCoords,
deadline);
return lookaheadFuture.get();
};
#if MULTITHREAD
auto launchPolicy = remainingLookahead == 1 ? std::launch::async : std::launch::deferred;
returnValue.lookaheadScore = std::async(launchPolicy, lookaheadLambda);
#else
std::promise<ScoreValue> p;
returnValue.lookaheadScore = p.get_future();
auto lambdaResult = lookaheadLambda();
p.set_value(lambdaResult);
#endif
}
return returnValue;
}
auto AICommandEvaluator::FindBestCommand(
const PlayerId pid,
const bool isDefender,
const int remainingLookahead,
const int maxRepeatCount,
const ShardokEngine& guessedEngine,
const AIStrategy& attackerStrategy,
const ScoreValue currentUtility,
const CoordsSet& allCastleCoords,
std::chrono::steady_clock::time_point deadline) const -> std::future<IndexAndScore> {
const CommandListSPtr guessedDescriptors = guessedEngine.GetAvailableCommandsForAIPlayer(pid);
// Filter out obviously bad commands to reduce search space
const std::vector<size_t> filteredIndices = AICommandFilter::FilterCommands(
guessedDescriptors,
pid,
isDefender,
guessedEngine.GetCurrentGameState(),
apdCache_,
battalionTypeGetter_);
const auto& gameState = guessedEngine.GetCurrentGameState();
// Calculate minimum hex distance to enemies for this player
double minDistToEnemies = std::numeric_limits<double>::max();
const auto* units = gameState->units();
for (size_t i = 0; i < units->size(); ++i) {
if (const auto* playerUnit = units->Get(static_cast<unsigned int>(i));
playerUnit->player_id() == pid) {
const auto& playerCoords = playerUnit->location();
for (size_t j = 0; j < units->size(); ++j) {
if (const auto* enemyUnit = units->Get(static_cast<unsigned int>(j));
enemyUnit->player_id() != pid) {
const auto& enemyCoords = enemyUnit->location();
// Proper hex distance calculation using cube coordinates
const Cube playerCube = OffsetToCube(playerCoords);
const Cube enemyCube = OffsetToCube(enemyCoords);
const int hexDistance = CubeDistance(playerCube, enemyCube);
minDistToEnemies = std::min(minDistToEnemies, static_cast<double>(hexDistance));
}
}
}
}
if (minDistToEnemies == std::numeric_limits<double>::max()) {
minDistToEnemies = 0.0; // No enemies found
}
#if LOGGING_
// Log command count and distance metrics for performance analysis
const auto allCommandCount = guessedDescriptors->size();
const auto filteredCommandCount = filteredIndices.size();
const int currentRound = gameState->current_round();
printf("AI_COMMAND_COUNT: Round %d, Player %d, Defender %d, MinDist %.1f, Commands %zu -> %zu "
"(%.1f%% filtered)\n",
currentRound,
static_cast<int>(pid),
isDefender ? 1 : 0,
minDistToEnemies,
allCommandCount,
filteredCommandCount,
100.0 * (allCommandCount - filteredCommandCount) / allCommandCount);
#endif
const auto commandCount = filteredIndices.size();
// Structure to hold all command evaluation data
struct CommandEvaluation {
size_t index;
CommandType type;
ScoreValue immediateScore;
std::vector<std::future<ScoreValue>> lookaheadFutures;
};
std::vector<CommandEvaluation> commandEvaluations(commandCount);
for (uint32_t index = 0; index < commandCount; index++) {
const auto originalIndex = filteredIndices[index];
const auto& guessedDescriptor = guessedDescriptors->at(originalIndex);
const auto guessedCommandType = guessedDescriptor->GetCommandType();
commandEvaluations[index].index = originalIndex;
commandEvaluations[index].type = guessedCommandType;
if (guessedCommandType == net::eagle0::shardok::common::END_TURN_COMMAND) {
std::promise<ScoreValue> p;
commandEvaluations[index].lookaheadFutures.push_back(p.get_future());
p.set_value(currentUtility);
commandEvaluations[index].immediateScore = currentUtility;
} else if (IsDeterministic(guessedCommandType)) {
auto [immediateScore, lookaheadScore] = EvaluateWithRandomness(
pid,
isDefender,
originalIndex,
remainingLookahead,
maxRepeatCount,
_averageGenerator,
guessedEngine,
attackerStrategy,
allCastleCoords,
deadline);
commandEvaluations[index].immediateScore = immediateScore;
commandEvaluations[index].lookaheadFutures.push_back(std::move(lookaheadScore));
} else if (guessedDescriptor->HasOdds()) {
const auto successChancePercentile = guessedDescriptor->GetOddsPercentile();
const double successChance = static_cast<double>(successChancePercentile) / 100.0;
// Success attempt uses 1.0 - (successChance / 2) as the roll
auto [successImmediateScore, successLookaheadScore] = EvaluateWithRandomness(
pid,
isDefender,
originalIndex,
remainingLookahead,
maxRepeatCount,
std::make_shared<SequenceRandomGenerator>(
std::vector{1.0 - successChance / 2.0}),
guessedEngine,
attackerStrategy,
allCastleCoords,
deadline);
// Failure attempt uses the average of (1 - successChance) and 0 as the roll
auto [failureImmediateScore, failureLookaheadScore] = EvaluateWithRandomness(
pid,
isDefender,
originalIndex,
remainingLookahead,
maxRepeatCount,
std::make_shared<SequenceRandomGenerator>(
std::vector{(1.0 - successChance) / 2.0}),
guessedEngine,
attackerStrategy,
allCastleCoords,
deadline);
commandEvaluations[index].immediateScore =
std::lerp(failureImmediateScore, successImmediateScore, successChance);
auto successSF = successLookaheadScore.share();
auto failureSF = failureLookaheadScore.share();
commandEvaluations[index].lookaheadFutures.push_back(std::async(
std::launch::deferred,
[successSF, failureSF, successChance]() -> double {
return std::lerp(failureSF.get(), successSF.get(), successChance);
}));
} else {
ScoreValue sum = 0.0;
for (int repeatIteration = 0; repeatIteration < maxRepeatCount; repeatIteration++) {
// In each iteration, use a double from [0, 1] as the random roll
auto sequence = std::vector{
static_cast<double>(repeatIteration) /
static_cast<double>(maxRepeatCount - 1)};
auto [immediateScore, lookaheadScore] = EvaluateWithRandomness(
pid,
isDefender,
originalIndex,
remainingLookahead,
maxRepeatCount,
std::make_shared<SequenceRandomGenerator>(sequence),
guessedEngine,
attackerStrategy,
allCastleCoords,
deadline);
sum += immediateScore;
commandEvaluations[index].lookaheadFutures.push_back(std::move(lookaheadScore));
}
commandEvaluations[index].immediateScore = sum / maxRepeatCount;
}
}
// Return a future that will wait for all evaluations and find the best one
return std::async(
std::launch::deferred,
[evals = std::move(commandEvaluations)]() mutable -> IndexAndScore {
std::vector<IndexAndScore> allResults;
allResults.reserve(evals.size());
// Wait for all futures and compute final scores
for (auto& eval : evals) {
ScoreValue totalLookaheadScore = 0.0;
for (auto& future : eval.lookaheadFutures) {
totalLookaheadScore += future.get();
}
ScoreValue avgLookaheadScore =
eval.lookaheadFutures.empty()
? eval.immediateScore
: totalLookaheadScore / eval.lookaheadFutures.size();
allResults.push_back(IndexAndScore{
.index = eval.index,
.type = eval.type,
.lookaheadScore = avgLookaheadScore,
.immediateScore = eval.immediateScore});
}
// Find the best command using the existing sorter
auto bestIt = std::ranges::max_element(allResults, CommandSorter);
return *bestIt;
});
}
auto AICommandEvaluator::EvaluateCommand(
const PlayerId pid,
const bool isDefender,
const int remainingLookahead,
const int maxRepeatCount,
const ShardokEngine& guessedEngine,
const AIStrategy& attackerStrategy,
const ScoreValue currentUtility,
const CoordsSet& allCastleCoords,
const size_t commandIndex,
std::chrono::steady_clock::time_point deadline) const -> std::future<ScoreValue> {
const CommandListSPtr guessedDescriptors = guessedEngine.GetAvailableCommandsForAIPlayer(pid);
if (commandIndex >= guessedDescriptors->size()) {
std::promise<ScoreValue> p;
p.set_value(currentUtility);
return p.get_future();
}
const auto& guessedDescriptor = guessedDescriptors->at(commandIndex);
if (const auto guessedCommandType = guessedDescriptor->GetCommandType();
guessedCommandType == net::eagle0::shardok::common::END_TURN_COMMAND) {
std::promise<ScoreValue> p;
p.set_value(currentUtility);
return p.get_future();
} else if (IsDeterministic(guessedCommandType)) {
auto [immediateScore, lookaheadScore] = EvaluateWithRandomness(
pid,
isDefender,
commandIndex,
remainingLookahead,
maxRepeatCount,
_averageGenerator,
guessedEngine,
attackerStrategy,
allCastleCoords,
deadline);
return std::move(lookaheadScore);
} else if (guessedDescriptor->HasOdds()) {
const auto successChancePercentile = guessedDescriptor->GetOddsPercentile();
const double successChance = static_cast<double>(successChancePercentile) / 100.0;
// Success attempt
auto [successImmediateScore, successLookaheadScore] = EvaluateWithRandomness(
pid,
isDefender,
commandIndex,
remainingLookahead,
maxRepeatCount,
std::make_shared<SequenceRandomGenerator>(std::vector{1.0 - successChance / 2.0}),
guessedEngine,
attackerStrategy,
allCastleCoords,
deadline);
// Failure attempt
auto [failureImmediateScore, failureLookaheadScore] = EvaluateWithRandomness(
pid,
isDefender,
commandIndex,
remainingLookahead,
maxRepeatCount,
std::make_shared<SequenceRandomGenerator>(std::vector{(1.0 - successChance) / 2.0}),
guessedEngine,
attackerStrategy,
allCastleCoords,
deadline);
// Return weighted average of success and failure
auto successSF = successLookaheadScore.share();
auto failureSF = failureLookaheadScore.share();
return std::async(std::launch::deferred, [successSF, failureSF, successChance]() -> double {
return std::lerp(failureSF.get(), successSF.get(), successChance);
});
} else {
// For non-deterministic commands without odds, use multiple attempts
std::vector<std::future<ScoreValue>> lookaheadFutures;
lookaheadFutures.reserve(maxRepeatCount);
for (int repeatIteration = 0; repeatIteration < maxRepeatCount; repeatIteration++) {
auto sequence = std::vector{
static_cast<double>(repeatIteration) / static_cast<double>(maxRepeatCount - 1)};
auto [immediateScore, lookaheadScore] = EvaluateWithRandomness(
pid,
isDefender,
commandIndex,
remainingLookahead,
maxRepeatCount,
std::make_shared<SequenceRandomGenerator>(sequence),
guessedEngine,
attackerStrategy,
allCastleCoords,
deadline);
lookaheadFutures.push_back(std::move(lookaheadScore));
}
// Return a future that computes the average when needed
return std::async(
std::launch::deferred,
[lookaheadFutures = std::move(lookaheadFutures),
maxRepeatCount]() mutable -> double {
ScoreValue total = 0.0;
for (auto& future : lookaheadFutures) { total += future.get(); }
return total / maxRepeatCount;
});
}
}
} // namespace shardok
@@ -1,110 +0,0 @@
//
// Command evaluator for AI lookahead search.
// Separated from AIScoreCalculator to isolate pure state scoring from lookahead logic.
//
#ifndef EAGLE0_AICOMMANDEVALUATOR_HPP
#define EAGLE0_AICOMMANDEVALUATOR_HPP
#include <chrono>
#include <future>
#include "src/main/cpp/net/eagle0/shardok/ai/AIStrategy.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/GameStateW.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/ShardokCTypes.h"
#include "src/main/cpp/net/eagle0/shardok/library/action_point_distances/ActionPointDistancesCache.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/map/CoordsSet.hpp"
#include "src/main/protobuf/net/eagle0/shardok/common/command_type.pb.h"
namespace shardok {
// Forward declarations
class AIScoreCalculator;
class ShardokEngine;
using ScoreValue = double;
using CommandType = net::eagle0::shardok::common::CommandType;
using BattalionTypeGetter = std::function<BattalionTypeSPtr(BattalionTypeId)>;
/// Evaluates commands with lookahead using minimax-style search.
/// Uses AIScoreCalculator for pure state evaluation, adds recursive lookahead logic.
class AICommandEvaluator {
public:
/// Construct evaluator with a scorer for state evaluation and dependencies for command
/// filtering
AICommandEvaluator(
const AIScoreCalculator& scorer,
const APDCache& apdCache,
BattalionTypeGetter battalionTypeGetter); // Pass by value
/// Evaluates the score for a particular command index with lookahead.
[[nodiscard]] auto EvaluateCommand(
PlayerId pid,
bool isDefender,
int remainingLookahead,
int maxRepeatCount,
const ShardokEngine& guessedEngine,
const AIStrategy& attackerStrategy,
ScoreValue currentUtility,
const CoordsSet& allCastleCoords,
size_t commandIndex,
std::chrono::steady_clock::time_point deadline) const -> std::future<ScoreValue>;
/// Find the best command among all available commands at the given depth.
struct IndexAndScore {
size_t index;
CommandType type;
ScoreValue lookaheadScore;
ScoreValue immediateScore;
};
[[nodiscard]] auto FindBestCommand(
PlayerId pid,
bool isDefender,
int remainingLookahead,
int maxRepeatCount,
const ShardokEngine& guessedEngine,
const AIStrategy& attackerStrategy,
ScoreValue currentUtility,
const CoordsSet& allCastleCoords,
std::chrono::steady_clock::time_point deadline) const -> std::future<IndexAndScore>;
private:
const AIScoreCalculator& scorer_;
const APDCache& apdCache_;
BattalionTypeGetter battalionTypeGetter_; // Store by value
struct ImmediateAndLookaheadScore {
ScoreValue immediateScore;
std::future<ScoreValue> lookaheadScore;
};
/// Recursive lookahead calculator
[[nodiscard]] auto PerformLookahead(
PlayerId pid,
bool isDefender,
int remainingLookahead,
int maxRepeatCount,
const std::shared_ptr<ShardokEngine>& innerEngine,
ScoreValue currentUtility,
const AIStrategy& attackerStrategy,
const CoordsSet& allCastleCoords,
std::chrono::steady_clock::time_point deadline) const -> std::future<ScoreValue>;
/// Evaluate single command execution with randomness handling
[[nodiscard]] auto EvaluateWithRandomness(
PlayerId pid,
bool isDefender,
uint32_t commandIndex,
int remainingLookahead,
int maxRepeatCount,
const std::shared_ptr<class RandomGenerator>& randomGenerator,
const ShardokEngine& guessedEngine,
const AIStrategy& attackerStrategy,
const CoordsSet& allCastleCoords,
std::chrono::steady_clock::time_point deadline) const -> ImmediateAndLookaheadScore;
};
} // namespace shardok
#endif // EAGLE0_AICOMMANDEVALUATOR_HPP
@@ -7,7 +7,6 @@
#include <algorithm>
#include "src/main/cpp/net/eagle0/shardok/library/BattalionType.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/ShardokException.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/util/HexCubeUtils.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/util/HexMapUtils.hpp"
#include "src/main/protobuf/net/eagle0/shardok/common/command_type.pb.h"
@@ -37,8 +36,8 @@ std::vector<size_t> AICommandFilter::FilterCommands(
PlayerId pid,
bool isDefender,
const GameStateW& gameState,
const APDCache& apdCache,
const BattalionTypeGetter& battalionTypeGetter) {
const SettingsGetter& settings,
const APDCache& apdCache) {
std::vector<size_t> filteredIndices;
filteredIndices.reserve(commands->size());
@@ -67,8 +66,8 @@ std::vector<size_t> AICommandFilter::FilterCommands(
pid,
isDefender,
gameState,
settings,
apdCache,
battalionTypeGetter,
enemyLocations,
castleLocations,
minDistToEnemies)) {
@@ -81,22 +80,16 @@ std::vector<size_t> AICommandFilter::FilterCommands(
pid,
isDefender,
gameState,
settings,
apdCache,
battalionTypeGetter,
enemyLocations,
minDistToEnemies)) {
shouldFilter = true;
}
// Check strategic blunders
if (!shouldFilter && IsStrategicBlunder(
*cmd,
pid,
isDefender,
gameState,
apdCache,
battalionTypeGetter,
minDistToEnemies)) {
if (!shouldFilter &&
IsStrategicBlunder(*cmd, pid, isDefender, gameState, settings, minDistToEnemies)) {
shouldFilter = true;
}
@@ -111,8 +104,8 @@ bool AICommandFilter::IsWastefulAction(
PlayerId pid,
bool isDefender,
const GameStateW& gameState,
const SettingsGetter& settings,
const APDCache& apdCache,
const BattalionTypeGetter& battalionTypeGetter,
const CoordsSet& enemyLocations,
const CoordsSet& castleLocations,
double minDistToEnemies) {
@@ -144,16 +137,15 @@ bool AICommandFilter::IsWastefulAction(
if (!isDefender) {
// Attackers: Only allow fire if the target location is on or adjacent to an enemy
const int targetRow = cmd.GetTargetRow();
const int targetCol = cmd.GetTargetColumn();
if (targetRow < 0 || targetCol < 0) {
throw ShardokInternalErrorException(
"START_FIRE_COMMAND missing required target information");
const auto cmdProto = cmd.GetCommandProto();
if (!cmdProto.has_target()) {
return true; // Can't analyze without target info
}
const Coords fireLocation(
static_cast<int8_t>(targetRow),
static_cast<int8_t>(targetCol));
const auto& targetCoords = cmdProto.target();
const Coords fireLocation{
static_cast<int8_t>(targetCoords.row()),
static_cast<int8_t>(targetCoords.column())};
// Check if any enemy is on the fire location or adjacent to it
bool enemyNearFireLocation = false;
@@ -188,12 +180,13 @@ bool AICommandFilter::IsWastefulAction(
if (!isDefender) {
// Attackers: Only allow fortify if within 3 hexes of enemies or castles
const int unitId = cmd.GetActorUnitId();
if (unitId < 0) {
throw ShardokInternalErrorException(
"FORTIFY_COMMAND missing required actor information");
const auto cmdProto = cmd.GetCommandProto();
if (!cmdProto.has_actor()) {
return true; // Can't analyze without actor info
}
const auto unitId = cmdProto.actor().value();
// Get the acting unit directly by ID
const Unit* actingUnit = gameState->units()->Get(unitId);
// verify the unit is still active
@@ -250,18 +243,16 @@ bool AICommandFilter::IsWastefulAction(
// These actions can fail, so we need high confidence of benefit (8+ action points
// saved)
const int unitId = cmd.GetActorUnitId();
const int targetRow = cmd.GetTargetRow();
const int targetCol = cmd.GetTargetColumn();
if (unitId < 0 || targetRow < 0 || targetCol < 0) {
throw ShardokInternalErrorException(
"BUILD_BRIDGE/FREEZE_WATER_COMMAND missing required actor or target "
"information");
const auto cmdProto = cmd.GetCommandProto();
if (!cmdProto.has_actor() || !cmdProto.has_target()) {
return true; // Can't analyze without full command info
}
const Coords waterLocation(
static_cast<int8_t>(targetRow),
static_cast<int8_t>(targetCol));
const auto unitId = cmdProto.actor().value();
const auto& targetCoords = cmdProto.target();
const Coords waterLocation{
static_cast<int8_t>(targetCoords.row()),
static_cast<int8_t>(targetCoords.column())};
// Get the acting unit directly by ID
const Unit* actingUnit = gameState->units()->Get(unitId);
@@ -278,7 +269,7 @@ bool AICommandFilter::IsWastefulAction(
}
// Get action point distances for this unit's battalion type
const auto& battType = battalionTypeGetter(actingUnit->battalion().type());
const auto& battType = settings.GetBattalionType(actingUnit->battalion().type());
const auto* apd = apdCache->GetRaw(
gameState->hex_map(),
ActionPointDistancesCache::GetMapId(gameState->hex_map()),
@@ -356,16 +347,15 @@ bool AICommandFilter::IsWastefulAction(
case CommandType::REPAIR_COMMAND: {
// Repair filtering - filter repairs with high integrity targets
// Note: RepairCommandFactory already filters enemy-occupied targets
const int targetRow = cmd.GetTargetRow();
const int targetCol = cmd.GetTargetColumn();
if (targetRow < 0 || targetCol < 0) {
throw ShardokInternalErrorException(
"REPAIR_COMMAND missing required target information");
const auto cmdProto = cmd.GetCommandProto();
if (!cmdProto.has_target()) {
return true; // Can't analyze without target info
}
const Coords repairLocation(
static_cast<int8_t>(targetRow),
static_cast<int8_t>(targetCol));
const auto& targetCoords = cmdProto.target();
const Coords repairLocation{
static_cast<int8_t>(targetCoords.row()),
static_cast<int8_t>(targetCoords.column())};
// Check terrain modifiers at target location
const auto* terrain = GetTerrain(gameState->hex_map(), repairLocation);
@@ -388,16 +378,15 @@ bool AICommandFilter::IsWastefulAction(
case CommandType::EXTINGUISH_FIRE_COMMAND: {
// Extinguish fire filtering - don't extinguish fires on enemy-occupied tiles
const int targetRow = cmd.GetTargetRow();
const int targetCol = cmd.GetTargetColumn();
if (targetRow < 0 || targetCol < 0) {
throw ShardokInternalErrorException(
"EXTINGUISH_FIRE_COMMAND missing required target information");
const auto cmdProto = cmd.GetCommandProto();
if (!cmdProto.has_target()) {
return true; // Can't analyze without target info
}
const Coords fireLocation(
static_cast<int8_t>(targetRow),
static_cast<int8_t>(targetCol));
const auto& targetCoords = cmdProto.target();
const Coords fireLocation{
static_cast<int8_t>(targetCoords.row()),
static_cast<int8_t>(targetCoords.column())};
// Check if any enemy occupies the fire location - let them burn!
std::vector<PlayerId> allyPids; // Empty for now - assume 2-player game
@@ -418,8 +407,8 @@ bool AICommandFilter::IsWastefulMovement(
PlayerId pid,
bool isDefender,
const GameStateW& gameState,
const SettingsGetter& settings,
const APDCache& apdCache,
const BattalionTypeGetter& battalionTypeGetter,
const CoordsSet& enemyLocations,
double minDistToEnemies) {
if (cmd.GetCommandType() != CommandType::MOVE_COMMAND) { return false; }
@@ -429,17 +418,17 @@ bool AICommandFilter::IsWastefulMovement(
return false; // Don't filter defender movement or when close to enemies
}
// Get unit and target information directly from command
const int unitId = cmd.GetActorUnitId();
const int targetRow = cmd.GetTargetRow();
const int targetCol = cmd.GetTargetColumn();
// Get the command proto to access unit and target information
const auto cmdProto = cmd.GetCommandProto();
// Check if we have the required information
if (unitId < 0 || targetRow < 0 || targetCol < 0) {
throw ShardokInternalErrorException(
"MOVE_COMMAND missing required actor or target information");
if (!cmdProto.has_actor() || !cmdProto.has_target()) {
return false; // Can't analyze without unit and target info
}
const auto unitId = cmdProto.actor().value();
const auto& targetCoords = cmdProto.target();
// Get the acting unit directly by ID
const Unit* actingUnit = gameState->units()->Get(unitId);
// Verify the unit is still active
@@ -455,10 +444,12 @@ bool AICommandFilter::IsWastefulMovement(
}
const auto& currentCoords = actingUnit->location();
const Coords targetCoordsFlat(static_cast<int8_t>(targetRow), static_cast<int8_t>(targetCol));
const Coords targetCoordsFlat{
static_cast<int8_t>(targetCoords.row()),
static_cast<int8_t>(targetCoords.column())};
// Get action point distances for this unit's battalion type
const auto& battType = battalionTypeGetter(actingUnit->battalion().type());
const auto& battType = settings.GetBattalionType(actingUnit->battalion().type());
const auto* apd = apdCache->GetRaw(
gameState->hex_map(),
ActionPointDistancesCache::GetMapId(gameState->hex_map()),
@@ -499,8 +490,7 @@ bool AICommandFilter::IsStrategicBlunder(
PlayerId /*pid*/,
bool /*isDefender*/,
const GameStateW& /*gameState*/,
const APDCache& /*apdCache*/,
const BattalionTypeGetter& /*battalionTypeGetter*/,
const SettingsGetter& /*settings*/,
double /*minDistToEnemies*/) {
// Simplified strategic blunder detection for now
// TODO: Implement proper castle abandonment detection
@@ -8,12 +8,12 @@
#include <memory>
#include <vector>
#include "src/main/cpp/net/eagle0/shardok/ai/AICommonTypes.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/ShardokEngine.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/action_point_distances/ActionPointDistancesCache.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/map/CoordsSet.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/settings/GameSettings.hpp"
#include "src/main/flatbuffer/net/eagle0/shardok/storage/game_state.hpp"
#include "src/main/protobuf/net/eagle0/shardok/api/command_descriptor.pb.h"
namespace shardok {
@@ -32,8 +32,8 @@ public:
* @param pid Player ID making the move
* @param isDefender True if this player is the defender
* @param gameState Current game state
* @param settings Game settings for parameter lookup
* @param apdCache Action point distance cache for distance calculations
* @param battalionTypeLookup Function to look up battalion types by ID
* @return Filtered list of commands worth evaluating
*/
static std::vector<size_t> FilterCommands(
@@ -41,8 +41,8 @@ public:
PlayerId pid,
bool isDefender,
const GameStateW& gameState,
const APDCache& apdCache,
const BattalionTypeGetter& battalionTypeLookup);
const SettingsGetter& settings,
const APDCache& apdCache);
private:
// Helper to build enemy locations once for efficiency
@@ -54,8 +54,8 @@ private:
PlayerId pid,
bool isDefender,
const GameStateW& gameState,
const SettingsGetter& settings,
const APDCache& apdCache,
const BattalionTypeGetter& battalionTypeLookup,
const CoordsSet& enemyLocations,
const CoordsSet& castleLocations,
double minDistToEnemies);
@@ -66,8 +66,8 @@ private:
PlayerId pid,
bool isDefender,
const GameStateW& gameState,
const SettingsGetter& settings,
const APDCache& apdCache,
const BattalionTypeGetter& battalionTypeLookup,
const CoordsSet& enemyLocations,
double minDistToEnemies);
@@ -77,8 +77,7 @@ private:
PlayerId pid,
bool isDefender,
const GameStateW& gameState,
const APDCache& apdCache,
const BattalionTypeGetter& battalionTypeLookup,
const SettingsGetter& settings,
double minDistToEnemies);
// Helper functions for distance and position analysis
@@ -1,23 +0,0 @@
//
// AICommonTypes.hpp
// Common type definitions used across AI utility functions
//
#ifndef EAGLE0_AICOMMONTYPES_HPP
#define EAGLE0_AICOMMONTYPES_HPP
#include <functional>
#include "src/main/cpp/net/eagle0/shardok/library/BattalionType.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/ShardokCTypes.h"
namespace shardok {
// Function type for looking up battalion types by ID
// Used across AI utilities to get battalion type information without
// needing to pass the entire scorer object
using BattalionTypeGetter = std::function<BattalionTypeSPtr(BattalionTypeId)>;
} // namespace shardok
#endif // EAGLE0_AICOMMONTYPES_HPP
@@ -1,25 +0,0 @@
//
// AI System Types and Configuration
//
#ifndef EAGLE0_AI_CONFIG_HPP
#define EAGLE0_AI_CONFIG_HPP
namespace shardok {
// Enum for AI algorithm selection
enum class AIAlgorithmType {
ITERATIVE_DEEPENING, // Default: Minimax with sophisticated randomness
MCTS // Monte Carlo Tree Search with multithreading
};
// Enum for scoring calculator selection
enum class ScoringCalculatorType {
STANDARD, // Default: Unbounded raw scores
NORMALIZED, // Normalized scores in [0, 1] range for ML training
MCTS_OPTIMIZED // Bounded linear scores tuned for MCTS
};
} // namespace shardok
#endif // EAGLE0_AI_CONFIG_HPP
@@ -7,10 +7,8 @@
#include <algorithm>
#include <ranges>
#include "src/main/cpp/net/eagle0/shardok/ai/AIAttackGroups.hpp"
#include "src/main/cpp/net/eagle0/shardok/ai/AIScoreUtilities.hpp"
#include "src/main/cpp/net/eagle0/shardok/ai/AIWaterCrossingCalculator.hpp"
#include "src/main/cpp/net/eagle0/shardok/ai/score/AIScoreCalculator.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/util/HexMapUtils.hpp"
namespace shardok {
@@ -21,9 +19,8 @@ constexpr double MINIMUM_RATIO_FOR_DEFENDER_TO_HOLD = 0.60;
auto AIDefenderStrategySelector::BestDefenderStrategy(
const GameStateW& gameState,
const CoordsSet& criticalTileCoords,
int maxRounds,
const APDCache& apdCache,
const BattalionTypeGetter& battalionTypeGetter) -> AIStrategy {
const SettingsGetter& settings) -> AIStrategy {
uint32_t attackerNonUndeadUnitCount = 0;
uint32_t attackerNonUndeadUnitNotRequiringWaterCrossingCount = 0;
int attackerTroops = 0;
@@ -39,7 +36,7 @@ auto AIDefenderStrategySelector::BestDefenderStrategy(
player->player_id(),
criticalTileCoords,
apdCache,
battalionTypeGetter);
settings);
attackerUnitIdsRequiringWaterCrossing.insert(
attackerUnitIdsRequiringWaterCrossing.end(),
unitIdsRequiringWaterCrossing.begin(),
@@ -74,7 +71,7 @@ auto AIDefenderStrategySelector::BestDefenderStrategy(
}
}
const int roundsRemaining = maxRounds - gameState->current_round();
const int roundsRemaining = 32 - gameState->current_round();
AIStrategy chosenStrategy;
// Defender will flee if
@@ -6,23 +6,19 @@
#define EAGLE0_AIDEFENDERSTRATEGYSELECTOR_HPP
#include "src/main/cpp/net/eagle0/shardok/ai/AIAttackLocations.hpp"
#include "src/main/cpp/net/eagle0/shardok/ai/AICommonTypes.hpp"
#include "src/main/cpp/net/eagle0/shardok/ai/AIStrategy.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/GameStateW.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/action_point_distances/ActionPointDistancesCache.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/map/CoordsSet.hpp"
#include "src/main/flatbuffer/net/eagle0/shardok/storage/game_state.hpp"
namespace shardok {
class AIDefenderStrategySelector {
public:
static auto BestDefenderStrategy(
const GameStateW& gameState,
const CoordsSet& criticalTileCoords,
int maxRounds,
const APDCache& apdCache,
const BattalionTypeGetter& battalionTypeGetter) -> AIStrategy;
const SettingsGetter& settings) -> AIStrategy;
};
} // namespace shardok
@@ -49,8 +49,8 @@ auto DefenderDistanceBuf(
const vector<const Unit *> &attackerUnits,
const APDCache &apdCache,
const ALCache &alCache,
const BattalionTypeGetter &battalionTypeGetter,
ActionPoints braveWaterCost,
const SettingsGetter &settings,
const int braveWaterActionPointCost,
const bool lateGame,
const bool includeUndead) -> double {
const auto &locationsToAttackMe = alCache->CachedLocations(defenderLocation, lateGame);
@@ -73,14 +73,14 @@ auto DefenderDistanceBuf(
notBravingDistances[typeInt] = apdCache->GetRaw(
hexMap,
mapId,
battalionTypeGetter(attacker->battalion().type()),
settings.GetBattalionType(attacker->battalion().type()),
false);
bravingDistances[typeInt] = apdCache->GetRaw(
hexMap,
mapId,
battalionTypeGetter(attacker->battalion().type()),
settings.GetBattalionType(attacker->battalion().type()),
true,
braveWaterCost);
braveWaterActionPointCost);
}
}
@@ -6,10 +6,10 @@
#define EAGLE0_AIDISTANCEDEBUF_HPP
#include "AIAttackLocations.hpp"
#include "src/main/cpp/net/eagle0/shardok/ai/AICommonTypes.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/action_point_distances/ActionPointDistances.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/action_point_distances/ActionPointDistancesCache.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/map/CoordsSet.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/settings/GameSettings.hpp"
namespace shardok {
@@ -23,8 +23,8 @@ auto DefenderDistanceBuf(
const vector<const Unit *> &attackerUnits,
const APDCache &apdCache,
const ALCache &alCache,
const BattalionTypeGetter &battalionTypeGetter,
ActionPoints braveWaterCost,
const SettingsGetter &settings,
int braveWaterActionPointCost,
bool lateGame,
bool includeUndead) -> double;
@@ -15,15 +15,15 @@
namespace shardok {
auto AIFleeDecisionCalculator::GetFleeCommandIndex(
const CommandList::const_iterator& fleeCommand,
const CommandListSPtr& availableCommands) -> size_t {
return static_cast<size_t>(std::distance(availableCommands->begin(), fleeCommand));
const vector<CommandProto>::const_iterator& fleeCommand,
const vector<CommandProto>& availableCommands) -> size_t {
return static_cast<size_t>(std::distance(availableCommands.begin(), fleeCommand));
}
auto AIFleeDecisionCalculator::EstimateCombatSuccess(
PlayerId attackerPlayerId,
const GameStateW& gameState,
int maxRounds) -> double {
const SettingsGetter& settings) -> double {
if (gameState->status() == nullptr ||
gameState->status()->state() !=
net::eagle0::shardok::storage::fb::GameStatus_::State_GAME_RUNNING) {
@@ -68,7 +68,7 @@ auto AIFleeDecisionCalculator::EstimateCombatSuccess(
}
}
const int roundsRemaining = maxRounds - gameState->current_round();
const int roundsRemaining = settings.Backing().max_rounds() - gameState->current_round();
// Special case: Attacker has no heroes - automatic loss
if (attackerHeroes == 0) {
@@ -133,15 +133,17 @@ auto AIFleeDecisionCalculator::EstimateCombatSuccess(
auto AIFleeDecisionCalculator::EvaluateFleeVsFight(
PlayerId playerId,
const SettingsGetter& settingsGetter,
const GameStateW& guessedState,
const CommandListSPtr& availableCommands,
const CommandList::const_iterator& fleeCommand,
int maxRounds,
int minimumFleeOddsThreshold,
int desperateFleeThreshold,
const vector<CommandProto>& availableCommands,
const vector<CommandProto>::const_iterator& fleeCommand,
bool enableDebugLogging) -> FleeDecision {
// Get flee success odds
const int fleeSuccessChance = (*fleeCommand)->GetOddsPercentile();
const int fleeSuccessChance = fleeCommand->odds().success_chance();
// Get thresholds from settings
const int minimumFleeOddsThreshold = settingsGetter.Backing().ai_minimum_flee_odds_threshold();
const int desperateFleeThreshold = settingsGetter.Backing().ai_desperate_flee_threshold();
if (enableDebugLogging) {
printf("AI FinalRound: Evaluating flee (odds=%d%%)...\n", fleeSuccessChance);
@@ -161,7 +163,7 @@ auto AIFleeDecisionCalculator::EvaluateFleeVsFight(
}
// Low flee odds - evaluate if fighting might be better
const double combatWinChance = EstimateCombatSuccess(playerId, guessedState, maxRounds);
const double combatWinChance = EstimateCombatSuccess(playerId, guessedState, settingsGetter);
// If combat situation is hopeless, even bad flee odds are better than certain death
if (combatWinChance <= 0.05 && fleeSuccessChance >= desperateFleeThreshold) {
@@ -213,11 +215,11 @@ auto AIFleeDecisionCalculator::EvaluateFleeVsFight(
auto AIFleeDecisionCalculator::ShouldConsiderFleeing(
PlayerId attackerPlayerId,
const GameStateW& guessedState,
int maxRounds,
const SettingsGetter& settings,
double fleeConsiderationThreshold) -> bool {
// Get combat success probability
const double combatSuccessChance =
EstimateCombatSuccess(attackerPlayerId, guessedState, maxRounds);
EstimateCombatSuccess(attackerPlayerId, guessedState, settings);
// Consider fleeing if combat success chance is below threshold
return combatSuccessChance < fleeConsiderationThreshold;
@@ -9,11 +9,14 @@
#ifndef AIFleeDecisionCalculator_hpp
#define AIFleeDecisionCalculator_hpp
#include "src/main/cpp/net/eagle0/shardok/library/ShardokCommand.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/ShardokEngine.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/settings/GameSettings.hpp"
#include "src/main/protobuf/net/eagle0/shardok/api/command_descriptor.pb.h"
namespace shardok {
using CommandProto = net::eagle0::shardok::api::CommandDescriptor;
class AIFleeDecisionCalculator {
public:
// Configuration for flee decision thresholds
@@ -32,33 +35,31 @@ public:
// Evaluate whether to flee or fight in the final round
[[nodiscard]] static auto EvaluateFleeVsFight(
PlayerId playerId,
const SettingsGetter& settings,
const GameStateW& guessedState,
const CommandListSPtr& availableCommands,
const CommandList::const_iterator& fleeCommand,
int maxRounds,
int minimumFleeOddsThreshold,
int desperateFleeThreshold,
const vector<CommandProto>& availableCommands,
const vector<CommandProto>::const_iterator& fleeCommand,
bool enableDebugLogging = false) -> FleeDecision;
// Estimate probability of combat success for the attacker
[[nodiscard]] static auto EstimateCombatSuccess(
PlayerId attackerPlayerId,
const GameStateW& guessedState,
int maxRounds) -> double;
const SettingsGetter& settings) -> double;
// Determine if the attacker should consider fleeing based on combat odds
// Returns true if fleeing should be considered as an option
[[nodiscard]] static auto ShouldConsiderFleeing(
PlayerId attackerPlayerId,
const GameStateW& guessedState,
int maxRounds,
const SettingsGetter& settings,
double fleeConsiderationThreshold = 0.5) -> bool;
private:
// Helper to get flee command index
[[nodiscard]] static auto GetFleeCommandIndex(
const CommandList::const_iterator& fleeCommand,
const CommandListSPtr& availableCommands) -> size_t;
const vector<CommandProto>::const_iterator& fleeCommand,
const vector<CommandProto>& availableCommands) -> size_t;
};
} // namespace shardok
@@ -1,251 +0,0 @@
//
// Fast heuristic weighting implementation with context-aware logic
//
#include "AIHeuristicWeighting.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/ShardokException.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/action_point_distances/ActionPointDistances.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/util/HexMapUtils.hpp"
namespace shardok {
using CommandType = net::eagle0::shardok::common::CommandType;
using Coords = net::eagle0::shardok::storage::fb::Coords;
using ProtoCoords = net::eagle0::shardok::common::Coords;
double AIHeuristicWeighting::GetCommandWeight(
const CommandType commandType,
const UnitId actorUnitId,
const PlayerId actorPlayerId,
const Coords& targetCoords,
const GameStateW& state,
const CoordsSet& castleCoords,
const APDCache* apdCache,
bool isDefender,
std::function<BattalionTypeSPtr(BattalionTypeId)> getBattalionType) {
// Fast O(1) heuristic weights based on command type and game context
// Higher weight = more likely to select in simulation
// 0.0 = never select (filtered out)
const auto* hexMap = state->hex_map();
const auto* units = state->units();
const bool hasTarget = (targetCoords.row() >= 0 && targetCoords.column() >= 0);
switch (commandType) {
// === HIGH VALUE OFFENSIVE (10.0) ===
// Ranged attacks - very valuable, typically available when in range
case CommandType::ARCHERY_COMMAND: return 20.0;
case CommandType::LIGHTNING_BOLT_COMMAND: return 10.0;
case CommandType::FEAR_COMMAND: return 10.0;
// Area/tactical spells - high impact
case CommandType::METEOR_START_COMMAND: {
// METEOR_START doesn't have a target - it's based on actor location
if (hasTarget) {
throw ShardokInternalErrorException(
"METEOR_START_COMMAND should not have target coordinates");
}
// Get actor's location
const auto* actorUnit = units->Get(actorUnitId);
if (!actorUnit) {
throw ShardokInternalErrorException(
"METEOR_START_COMMAND actor unit not found in game state");
}
const Coords& actorLocation = actorUnit->location();
int enemyCount = 0;
// Count enemies within meteor range (3 hexes) of actor location
constexpr int METEOR_RANGE = 3;
const auto tilesInRange = TilesWithinDistance(hexMap, actorLocation, METEOR_RANGE);
for (const auto& tileCoords : tilesInRange) {
if (const auto* unit = Occupant(units, tileCoords)) {
if (unit->player_id() != actorPlayerId) { enemyCount++; }
}
}
return 1.0 + (enemyCount * 15.0); // Base 1 + 15 per enemy in range
}
case CommandType::METEOR_TARGET_COMMAND: {
// High weight per enemy unit at or adjacent to target
if (!hasTarget) {
throw ShardokInternalErrorException(
"METEOR_TARGET_COMMAND requires target coordinates for heuristic "
"weighting");
}
int enemyCount = 0;
// Count enemies at target
if (const auto* targetUnit = Occupant(units, targetCoords)) {
if (targetUnit->player_id() != actorPlayerId) { enemyCount++; }
}
// Count enemies adjacent to target
for (const auto& neighbor : HexMapUtils::GetAdjacentTiles(hexMap, targetCoords)) {
if (const auto* unit = Occupant(units, neighbor.coords)) {
if (unit->player_id() != actorPlayerId) { enemyCount++; }
}
}
return 1.0 + (enemyCount * 15.0); // Base 1 + 15 per enemy in range
}
case CommandType::RAISE_DEAD_COMMAND: return 10.0;
case CommandType::HOLY_WAVE_COMMAND: return 8.0;
// Fire on enemy (context-dependent)
case CommandType::START_FIRE_COMMAND: {
// High if enemy at target, low otherwise
if (!hasTarget) {
throw ShardokInternalErrorException(
"START_FIRE_COMMAND requires target coordinates for heuristic weighting");
}
if (const auto* targetUnit = Occupant(units, targetCoords)) {
if (targetUnit->player_id() != actorPlayerId) {
return 10.0; // Enemy at target - high value
}
}
return 1.0; // No enemy - low value but still valid
}
// === MEDIUM-HIGH OFFENSIVE (5.0-7.0) ===
// Direct damage melee
case CommandType::MELEE_COMMAND: return 7.0;
case CommandType::CHARGE_COMMAND: return 7.0; // Damage + movement
case CommandType::CHALLENGE_DUEL_COMMAND: return 5.0;
// Control and tactical magic
case CommandType::CONTROL_COMMAND: return 6.0;
case CommandType::METEOR_CAST_COMMAND: return 6.0; // Finish meteor
case CommandType::REDUCE_COMMAND: {
// High if enemy at target, zero otherwise
if (!hasTarget) return 0.0;
if (const auto* targetUnit = Occupant(units, targetCoords)) {
if (targetUnit->player_id() != actorPlayerId) {
return 10.0; // Enemy at target - very high value
}
}
return 0.0; // No enemy - don't use
}
// === MOVEMENT - Context-dependent ===
case CommandType::MOVE_COMMAND: {
if (isDefender) {
return 0.0; // Defenders don't move
}
// Attackers: weight based on distance improvement towards castle
if (!hasTarget) {
throw ShardokInternalErrorException(
"MOVE_COMMAND requires target coordinates for heuristic weighting");
}
// Get actor unit to determine battalion type and start position
const auto* actorUnit = units->Get(actorUnitId);
if (!actorUnit) return 4.0; // Default if can't find actor
// Get battalion type for distance calculation
const auto battalionTypeId = actorUnit->battalion().type();
const auto battalionTypePtr = getBattalionType(battalionTypeId);
if (!battalionTypePtr) return 4.0; // Default if can't get battalion type
// Get ActionPointDistances for this battalion type
const auto mapId = ActionPointDistancesCache::GetMapId(hexMap);
const auto* apd = (*apdCache)->GetRaw(hexMap, mapId, battalionTypePtr, false, -1);
if (!apd) return 4.0; // Default if can't get distances
// Calculate minimum distance from start to any castle
const Coords startCoords = actorUnit->location();
auto minStartDistance = ActionPointDistances::IMPOSSIBLE;
for (const auto& castleCoord : castleCoords) {
const auto dist = apd->Distance(startCoords, castleCoord);
if (dist < minStartDistance) { minStartDistance = dist; }
}
// Calculate minimum distance from end to any castle
const Coords& endCoords = targetCoords;
auto minEndDistance = ActionPointDistances::IMPOSSIBLE;
for (const auto& castleCoord : castleCoords) {
const auto dist = apd->Distance(endCoords, castleCoord);
if (dist < minEndDistance) { minEndDistance = dist; }
}
// Return weight based on distance improvement
// Higher weight if we're moving closer to castle
if (minStartDistance == ActionPointDistances::IMPOSSIBLE ||
minEndDistance == ActionPointDistances::IMPOSSIBLE) {
return 4.0; // Default if distances are impossible
}
const auto improvement = static_cast<double>(minStartDistance - minEndDistance);
return std::max(0.0, improvement);
}
case CommandType::BRAVE_WATER_COMMAND: return 3.0; // Tactical movement
case CommandType::SCOUT_COMMAND:
return 2.0; // Information gathering
// Terrain manipulation
case CommandType::FREEZE_WATER_COMMAND: return 3.0;
case CommandType::BUILD_BRIDGE_COMMAND: return 3.0;
// === LOW VALUE DEFENSIVE/UTILITY (1.0-2.0) ===
case CommandType::EXTINGUISH_FIRE_COMMAND: {
// High if friendly at target, low otherwise
if (!hasTarget) {
throw ShardokInternalErrorException(
"EXTINGUISH_FIRE_COMMAND requires target coordinates for heuristic "
"weighting");
}
if (const auto* targetUnit = Occupant(units, targetCoords)) {
if (targetUnit->player_id() == actorPlayerId) {
return 8.0; // Friendly at target - high value
}
}
return 1.0; // No friendly - low value but still valid
}
case CommandType::UNIT_REST_COMMAND: return 1.5;
case CommandType::FORTIFY_COMMAND: return 2.0;
// Zero weight - don't use in simulation
case CommandType::REPAIR_COMMAND: return 0.0;
case CommandType::HIDE_COMMAND: return 0.0;
case CommandType::RELEASE_UNIT_COMMAND: return 0.0;
case CommandType::REINFORCE_COMMAND: return 10.0;
case CommandType::MANAGE_PRISONER: return 1.0;
// === ZERO WEIGHT - NEVER SELECT (0.0) ===
// Explicitly bad actions
case CommandType::FLEE_COMMAND: return 0.0; // Never flee in simulation
case CommandType::RETREAT_COMMAND: return 0.0;
case CommandType::BECOME_OUTLAW_COMMAND: return 0.0; // Never become outlaw
case CommandType::DISMISS_UNIT_COMMAND:
return 0.0; // Never dismiss in combat
// Actions that are fine as a fallback
case CommandType::END_TURN_COMMAND: return 1.0;
case CommandType::UNIT_STOP_COMMAND: return 1.0;
case CommandType::METEOR_CANCEL_COMMAND: return 1.0;
// Setup commands (shouldn't appear in combat, but filter anyway)
case CommandType::PLACE_UNIT_COMMAND: return 10.0;
case CommandType::PLACE_HIDDEN_UNIT_COMMAND: return 1.0;
case CommandType::END_PLAYER_SETUP_COMMAND: return 1.0;
// Unknown/unhandled
case CommandType::UNKNOWN_COMMAND:
default: return 0.0; // Don't select unknown commands
}
}
} // namespace shardok
@@ -1,40 +0,0 @@
//
// Fast heuristic weighting for MCTS simulations
// Provides O(1) weights based on command type and context
//
#ifndef EAGLE0_AI_HEURISTIC_WEIGHTING_HPP
#define EAGLE0_AI_HEURISTIC_WEIGHTING_HPP
#pragma clang diagnostic push
#pragma clang diagnostic ignored "-Wdeprecated-redundant-constexpr-static-def"
#include "src/main/protobuf/net/eagle0/shardok/common/command_type.pb.h"
#pragma clang diagnostic pop
#include "src/main/cpp/net/eagle0/shardok/library/GameStateW.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/action_point_distances/ActionPointDistancesCache.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/map/CoordsSet.hpp"
namespace shardok {
// Fast heuristic-based command weighting for MCTS simulation policy
// Avoids expensive score calculation while maintaining intelligent bias
class AIHeuristicWeighting {
public:
// Get weight for a command using fast heuristics with game context
// Returns weight >= 0.0, where 0.0 means "never select" and higher is more likely
static double GetCommandWeight(
net::eagle0::shardok::common::CommandType commandType,
UnitId actorUnitId,
PlayerId actorPlayerId,
const Coords& targetCoords,
const GameStateW& state,
const CoordsSet& castleCoords,
const APDCache* apdCache,
bool isDefender,
std::function<BattalionTypeSPtr(BattalionTypeId)> getBattalionType);
};
} // namespace shardok
#endif // EAGLE0_AI_HEURISTIC_WEIGHTING_HPP
File diff suppressed because it is too large Load Diff
@@ -0,0 +1,64 @@
//
// Created by dancrosby on 3/4/20.
//
#ifndef EAGLE0_AISCORECALCULATOR_HPP
#define EAGLE0_AISCORECALCULATOR_HPP
#include <chrono>
#include <future>
#include "src/main/cpp/net/eagle0/shardok/ai/AIAttackLocations.hpp"
#include "src/main/cpp/net/eagle0/shardok/ai/AIStrategy.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/ShardokCTypes.h"
#include "src/main/cpp/net/eagle0/shardok/library/ShardokEngine.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/action_point_distances/ActionPointDistancesCache.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/settings/GameSettings.hpp"
#include "src/main/flatbuffer/net/eagle0/shardok/storage/game_state.hpp"
#include "src/main/protobuf/net/eagle0/shardok/api/command_descriptor.pb.h"
#include "src/main/protobuf/net/eagle0/shardok/api/game_state_view.pb.h"
namespace shardok {
using net::eagle0::shardok::api::GameStateView;
using GameState = fb::GameState;
using shardok::PlayerId;
using std::future;
using std::vector;
using ScoreValue = double;
using CommandProto = net::eagle0::shardok::api::CommandDescriptor;
class AIScoreCalculator {
public:
// Evaluate the score of a guessed game state based on the current AI strategy. DOES NOT perform
// or evaluate any commands.
[[nodiscard]] static auto GuessedStateScore(
bool isDefender,
const GameStateW &state,
const AIStrategy &aiStrategy,
const CoordsSet &allCastleCoords,
const SettingsGetter &settingsGetter,
const APDCache &apdCache,
const ALCache &alCache) -> ScoreValue;
// Evaluates the score for a particular command index for the given player, using lookahead.
[[nodiscard]] static auto CommandScore(
PlayerId pid,
bool isDefender,
int remainingLookahead,
int maxRepeatCount,
const ShardokEngine &guessedEngine,
const AIStrategy &attackerStrategy,
ScoreValue currentUtility,
const SettingsGetter &settingsGetter,
const CoordsSet &allCastleCoords,
const APDCache &apdCache,
const ALCache &alCache,
size_t commandIndex,
std::chrono::steady_clock::time_point deadline) -> std::future<ScoreValue>;
};
} // namespace shardok
#endif // EAGLE0_AISCORECALCULATOR_HPP
@@ -3,7 +3,6 @@
//
#include "src/main/cpp/net/eagle0/shardok/ai/AIStrategy.hpp"
namespace shardok {
AIStrategy FleeStrategy = AIStrategy{AIStrategy::STRATEGY_FLEE};
AIStrategy HoldCastlesStrategy = AIStrategy{AIStrategy::STRATEGY_HOLD_CASTLES};
@@ -24,43 +24,10 @@ int AIEvaluationCounter::GetCurrentCount() { return activeCount.load(); }
auto CalculateTimeBudget(
const PlayerId playerId,
const GameSettingsSPtr &settings,
const GameStateW &state,
const size_t numCommands,
const bool isAllAiBattle) -> AITimeBudget {
const GameStateW &state) -> AITimeBudget {
const auto settingsGetter = settings->GetGetter();
const auto castleCoords = AllCastleCoords(state->hex_map());
// Check if we're in setup phase
const bool isSetupPhase = state->status()->state() ==
net::eagle0::shardok::storage::fb::GameStatus_::State_SET_UP;
// Get maximum budget cap from settings (in seconds)
// For all-AI battles, use the faster budget limit
const double maxBudgetSeconds =
isAllAiBattle ? settingsGetter.Backing().all_ai_battle_time_budget_maximum()
: settingsGetter.Backing().lookahead_time_budget_maximum_seconds();
const double maxBudgetMs = maxBudgetSeconds * 1000.0;
// During setup, use the setup-specific time budget
if (isSetupPhase) {
// Dynamic budget: msPerCommand × numCommands
const double msPerCommand =
settingsGetter.Backing().lookahead_time_budget_per_command_setup_ms();
const double budgetMs = msPerCommand * static_cast<double>(numCommands);
// Clamp to reasonable bounds: 200ms minimum, maxBudgetMs maximum
const auto clampedBudgetMs = std::clamp(budgetMs, 200.0, maxBudgetMs);
const auto remainingBudget =
std::chrono::milliseconds(static_cast<int64_t>(clampedBudgetMs));
const size_t minDepth = settingsGetter.Backing().min_lookahead_turns();
return AITimeBudget{
.remainingBudget = remainingBudget,
.minDepthRequired = minDepth,
.isCloseToEnemy = false}; // Not relevant during setup
}
// Determine proximity (≤4 hex distance) - applies to both attackers and defenders
bool isClose = false;
const auto *units = state->units();
@@ -105,25 +72,12 @@ auto CalculateTimeBudget(
}
}
// Get time budget from settings - dynamic based on number of commands
// Dynamic budget: msPerCommand × numCommands
const double msPerCommand =
isClose ? settingsGetter.Backing().lookahead_time_budget_per_command_close_ms()
: settingsGetter.Backing().lookahead_time_budget_per_command_far_ms();
const double budgetMs = msPerCommand * static_cast<double>(numCommands);
// Get time budget from settings
const auto budget = std::chrono::duration<double>(
isClose ? settingsGetter.Backing().lookahead_time_budget_close_in_seconds()
: settingsGetter.Backing().lookahead_time_budget_far_in_seconds());
// Clamp to reasonable bounds: 200ms minimum, maxBudgetMs maximum
const auto clampedBudgetMs = std::clamp(budgetMs, 200.0, maxBudgetMs);
const auto remainingBudget = std::chrono::milliseconds(static_cast<int64_t>(clampedBudgetMs));
// TEMPORARY DEBUG OUTPUT
printf("[DEBUG CalculateTimeBudget] numCommands=%zu, msPerCommand=%.2f, budgetMs=%.2f, "
"clampedBudgetMs=%.2f, isClose=%d\n",
numCommands,
msPerCommand,
budgetMs,
clampedBudgetMs,
isClose);
const auto remainingBudget = std::chrono::duration_cast<std::chrono::milliseconds>(budget);
// Get minimum depth requirement
const size_t minDepth = settingsGetter.Backing().min_lookahead_turns();
@@ -36,15 +36,10 @@ struct AITimeBudget {
};
// Calculate time budget based on proximity to enemies and castles
// Time budget is calculated dynamically based on number of available commands:
// budget = msPerCommand × numCommands (clamped to 200-5000ms)
// If isAllAiBattle is true, uses allAiBattleTimeBudgetMaximum instead of the normal maximum.
auto CalculateTimeBudget(
PlayerId playerId,
const GameSettingsSPtr &settings,
const GameStateW &state,
size_t numCommands,
bool isAllAiBattle) -> AITimeBudget;
const GameStateW &state) -> AITimeBudget;
} // namespace shardok
@@ -17,10 +17,9 @@ using std::end;
using std::shared_ptr;
constexpr double kProfessionValue = 200;
constexpr double kVigorScoreMultiplier = 5.0;
constexpr double kCastleMultiplierBonus = 1.0;
constexpr double kOnFireMultiplier = 0.25;
constexpr double kAdjacentFireMultiplier = 0.80;
constexpr double kAdjacentFireMultiplier = 0.99;
constexpr double kOnIceMultiplier = 0.25;
constexpr double kMeteorStartInRangeValue = 50;
constexpr double kMeteorDirectTargetingEnemy = 2;
@@ -64,8 +63,7 @@ auto ContextFreeUnitValue(const Unit *unit) -> ScoreValue {
4.0;
}
const double vigorValue =
unit->has_attached_hero() ? unit->attached_hero().vigor() * kVigorScoreMultiplier : 0.0;
const double vigorValue = unit->has_attached_hero() ? unit->attached_hero().vigor() : 0.0;
double battalionTypeMultiplier = 1.0;
switch (unit->battalion().type()) {
@@ -91,8 +89,8 @@ auto ContextFreeUnitValue(const Unit *unit) -> ScoreValue {
break;
}
const double battalionValue = battalionTypeMultiplier * (1.0 + armament / 100.0) *
(1.0 + training / 100.0) * (0.5 + morale / 100.0) *
const double battalionValue = battalionTypeMultiplier * (0.5 + armament / 100.0) *
(0.5 + training / 100.0) * (0.5 + morale / 100.0) *
unit->battalion().size();
const double heroValue =
@@ -337,8 +335,7 @@ auto UnitValue(
const AttackLocations &locationsThisSideCanAttackFrom,
const CoordsSet &locationsInDangerFromEnemy,
const ActionPointDistances *distances,
int meteorRange,
double meteorCastVigorCost) -> ScoreValue {
const SettingsGetter &settings) -> ScoreValue {
const auto &location = unit->location();
if (location.row() < 0) return 0; // unplaced unit
@@ -357,7 +354,9 @@ auto UnitValue(
kCastleMultiplierBonus * (terrain->modifier().castle().integrity() + 25) / 100.0;
}
double onFireMultiplier = 1.0;
if (terrain->modifier().fire().present()) { onFireMultiplier *= kOnFireMultiplier; }
if (terrain->modifier().fire().present() && (isAttacker || attackerWantsCastles)) {
onFireMultiplier *= kOnFireMultiplier;
}
{
for (const auto adjacentCoords = HexMapUtils::GetAdjacentCoords(map, location);
const auto &c : adjacentCoords) {
@@ -381,8 +380,8 @@ auto UnitValue(
roundsRemaining,
attackerUnits,
defenderUnits,
meteorRange,
meteorCastVigorCost);
settings.Backing().meteor_range(),
settings.Backing().meteor_cast_vigor_cost());
// scouting values
// attack range
@@ -46,8 +46,7 @@ auto UnitValue(
const AttackLocations &locationsThisSideCanAttackFrom,
const CoordsSet &locationsInDangerFromEnemy,
const ActionPointDistances *distances,
int meteorRange,
double meteorCastVigorCost) -> ScoreValue;
const SettingsGetter &settings) -> ScoreValue;
} // namespace shardok
@@ -7,9 +7,9 @@
#include <algorithm>
#include <ranges>
#include "AIAttackLocations.hpp"
#include "AIDistanceDebuf.hpp"
#include "src/main/cpp/net/eagle0/shardok/ai/AIAttackGroups.hpp"
#include "src/main/cpp/net/eagle0/shardok/ai/AIAttackLocations.hpp"
#include "src/main/cpp/net/eagle0/shardok/ai/AIDistanceDebuf.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/util/HexMapUtils.hpp"
#include "src/main/flatbuffer/net/eagle0/shardok/storage/victory_condition.hpp"
@@ -43,8 +43,8 @@ auto AttackerDebufForOnFireCriticalTile(
const vector<const Unit*>& extinguishingUnits,
const APDCache& apdCache,
const ALCache& alCache,
const BattalionTypeGetter& battalionTypeGetter,
ActionPoints braveWaterCost,
const SettingsGetter& settings,
const int braveWaterActionPointCost,
const bool lateGame) -> double {
double minDebuf = 99999.9;
@@ -60,8 +60,8 @@ auto AttackerDebufForOnFireCriticalTile(
extinguishingUnits,
apdCache,
alCache,
battalionTypeGetter,
braveWaterCost,
settings,
braveWaterActionPointCost,
lateGame,
/* includeUndead = */ false);
if (newDebuf < minDebuf) minDebuf = newDebuf;
@@ -77,8 +77,8 @@ auto AttackerDebufForUnoccupiedCriticalTile(
const vector<const Unit*>& claimableUnits,
const APDCache& apdCache,
const ALCache& alCache,
const BattalionTypeGetter& battalionTypeGetter,
ActionPoints braveWaterCost,
const SettingsGetter& settings,
const int braveWaterActionPointCost,
const bool lateGame) -> double {
return UNHELD_VALUE * DefenderDistanceBuf(
criticalTileLocation,
@@ -87,8 +87,8 @@ auto AttackerDebufForUnoccupiedCriticalTile(
claimableUnits,
apdCache,
alCache,
battalionTypeGetter,
braveWaterCost,
settings,
braveWaterActionPointCost,
lateGame,
/* includeUndead = */ false);
}
@@ -100,8 +100,8 @@ auto AttackerDebufForDefenderOccupiedCriticalTile(
const vector<const Unit*>& attackerUnits,
const APDCache& apdCache,
const ALCache& alCache,
const BattalionTypeGetter& battalionTypeGetter,
ActionPoints braveWaterCost,
const SettingsGetter& settings,
const int braveWaterActionPointCost,
const bool lateGame) {
const double baseUnitValue =
defenderUnit->battalion().size() +
@@ -117,8 +117,8 @@ auto AttackerDebufForDefenderOccupiedCriticalTile(
attackerUnits,
apdCache,
alCache,
battalionTypeGetter,
braveWaterCost,
settings,
braveWaterActionPointCost,
lateGame,
/* includeUndead = */ false);
}
@@ -126,7 +126,10 @@ auto AttackerDebufForDefenderOccupiedCriticalTile(
auto DefenderHoldsCriticalTilesVictoryScore(
const GameStateW& gameState,
const CoordsSet& criticalTileLocations,
const PlayerInfo* player) -> ScoreValue {
const PlayerInfo* player,
const APDCache& /*apdCache*/,
const ALCache& /*alCache*/,
const SettingsGetter& /*settings*/) -> ScoreValue {
ScoreValue total = 0.0;
const auto rc = gameState->hex_map()->row_count();
@@ -156,8 +159,7 @@ auto AttackerHoldsCriticalTilesVictoryScore(
const PlayerInfo* player,
const APDCache& apdCache,
const ALCache& alCache,
const BattalionTypeGetter& battalionTypeGetter,
ActionPoints braveWaterCost) -> ScoreValue {
const SettingsGetter& settings) -> ScoreValue {
vector<const Unit*> playerUnits{};
vector<const Unit*> claimablePlayerUnits{};
for (const Unit* unit : *gameState->units()) {
@@ -173,6 +175,7 @@ auto AttackerHoldsCriticalTilesVictoryScore(
return criticalTileLocations.size() * MAX_DEFENDER_HELD_VALUE;
}
const int braveWaterActionPointCost = settings.Backing().brave_water_action_point_cost();
const MapId mapId = apdCache->GetMapId(gameState->hex_map());
ScoreValue total = 0.0;
@@ -199,8 +202,8 @@ auto AttackerHoldsCriticalTilesVictoryScore(
claimablePlayerUnits,
apdCache,
alCache,
battalionTypeGetter,
braveWaterCost,
settings,
braveWaterActionPointCost,
IsLateGame(gameState));
total += BADLY_HELD_VALUE;
}
@@ -212,8 +215,8 @@ auto AttackerHoldsCriticalTilesVictoryScore(
playerUnits,
apdCache,
alCache,
battalionTypeGetter,
braveWaterCost,
settings,
braveWaterActionPointCost,
IsLateGame(gameState));
}
} else if (terrain->modifier().fire().present()) {
@@ -224,8 +227,8 @@ auto AttackerHoldsCriticalTilesVictoryScore(
claimablePlayerUnits,
apdCache,
alCache,
battalionTypeGetter,
braveWaterCost,
settings,
braveWaterActionPointCost,
IsLateGame(gameState));
} else {
total -= AttackerDebufForUnoccupiedCriticalTile(
@@ -235,8 +238,8 @@ auto AttackerHoldsCriticalTilesVictoryScore(
claimablePlayerUnits,
apdCache,
alCache,
battalionTypeGetter,
braveWaterCost,
settings,
braveWaterActionPointCost,
IsLateGame(gameState));
}
}
@@ -249,8 +252,7 @@ auto LastPlayerStandingVictoryScore(
const PlayerInfo* player,
const APDCache& apdCache,
const ALCache& alCache,
const BattalionTypeGetter& battalionTypeGetter,
ActionPoints braveWaterCost) -> ScoreValue {
const SettingsGetter& settings) -> ScoreValue {
if (!std::ranges::contains(
*player->victory_conditions(),
net::eagle0::shardok::storage::fb::
@@ -283,8 +285,8 @@ auto LastPlayerStandingVictoryScore(
playerUnits,
apdCache,
alCache,
battalionTypeGetter,
braveWaterCost,
settings,
5,
IsLateGame(gameState),
/* includeUndead = */ true);
}
@@ -9,7 +9,6 @@
#include "src/main/cpp/net/eagle0/shardok/ai/AIAttackGroups.hpp"
#include "src/main/cpp/net/eagle0/shardok/ai/AIAttackLocations.hpp"
#include "src/main/cpp/net/eagle0/shardok/ai/AICommonTypes.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/GameStateW.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/action_point_distances/ActionPointDistancesCache.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/map/CoordsSet.hpp"
@@ -30,21 +29,22 @@ auto AttackerHoldsCriticalTilesVictoryScore(
const PlayerInfo* player,
const APDCache& apdCache,
const ALCache& alCache,
const BattalionTypeGetter& battalionTypeGetter,
ActionPoints braveWaterCost) -> ScoreValue;
const SettingsGetter& settings) -> ScoreValue;
auto DefenderHoldsCriticalTilesVictoryScore(
const GameStateW& gameState,
const CoordsSet& criticalTileLocations,
const PlayerInfo* player) -> ScoreValue;
const PlayerInfo* player,
const APDCache& apdCache,
const ALCache& alCache,
const SettingsGetter& settings) -> ScoreValue;
auto LastPlayerStandingVictoryScore(
const GameStateW& gameState,
const PlayerInfo* player,
const APDCache& apdCache,
const ALCache& alCache,
const BattalionTypeGetter& battalionTypeGetter,
ActionPoints braveWaterCost) -> ScoreValue;
const SettingsGetter& settings) -> ScoreValue;
} // namespace shardok
@@ -15,7 +15,7 @@ auto UnitIdsRequiringWaterCrossing(
const PlayerId pid,
const CoordsSet &destinations,
const APDCache &apdCache,
const BattalionTypeGetter &battalionTypeGetter) -> vector<UnitId> {
const SettingsGetter &settings) -> vector<UnitId> {
// Put out all the fires, except on bridges
fb::HexMapW mapCopy = fb::CopyHexMap(gameState->hex_map());
for (uint32_t index = 0; index < mapCopy->terrain()->size(); index++) {
@@ -36,7 +36,7 @@ auto UnitIdsRequiringWaterCrossing(
for (const auto *unit : *gameState->units()) {
if (unit->player_id() != pid) continue;
const auto &battType = battalionTypeGetter(unit->battalion().type());
const auto &battType = settings.GetBattalionType(unit->battalion().type());
if (unit->status() == net::eagle0::shardok::storage::fb::UnitStatus_NORMAL_UNIT) {
for (const Coords &destination : destinations) {
@@ -76,7 +76,8 @@ auto UnitIdsRequiringWaterCrossing(
auto UnitIdsToCreateWaterCrossing(
const GameStateW &gameState,
const PlayerId pid,
const BattalionTypeGetter &battalionTypeGetter) -> vector<UnitId> {
const APDCache & /*apdCache*/,
const SettingsGetter &settings) -> vector<UnitId> {
vector<UnitId> unitIds{};
for (const auto *unit : *gameState->units()) {
@@ -87,7 +88,7 @@ auto UnitIdsToCreateWaterCrossing(
if (!unit->has_attached_hero()) continue;
const auto profession = unit->attached_hero().profession_info().profession();
const auto &battalionType = battalionTypeGetter(unit->battalion().type());
const auto &battalionType = settings.GetBattalionType(unit->battalion().type());
if (profession == net::eagle0::shardok::storage::fb::Profession_ENGINEER ||
(profession == net::eagle0::shardok::storage::fb::Profession_MAGE &&
@@ -198,14 +199,14 @@ auto IntendedCrossingStarts(
const GameStateW &gameState,
const vector<UnitId> &unitIdsCreatingCrossing,
const CoordsSet &tilesToStartCrossingFrom,
const MapId &mapId,
const APDCache &apdCache,
const BattalionTypeGetter &battalionTypeGetter) -> CoordsSet {
const SettingsGetter &settings) -> CoordsSet {
CoordsSet intendedCrossingStarts(gameState->hex_map());
const MapId mapId = apdCache->GetMapId(gameState->hex_map());
for (const UnitId uid : unitIdsCreatingCrossing) {
const Unit *unit = gameState->units()->Get(uid);
const Coords &location = unit->location();
const auto &battalionType = battalionTypeGetter(unit->battalion().type());
const auto &battalionType = settings.GetBattalionType(unit->battalion().type());
const auto *apd = apdCache->GetRaw(gameState->hex_map(), mapId, battalionType, false);
if (location.row() >= 0) {
@@ -218,111 +219,4 @@ auto IntendedCrossingStarts(
return intendedCrossingStarts;
}
using Unit = net::eagle0::shardok::storage::fb::Unit;
constexpr double kNoRequiredCrossingScore = std::numeric_limits<double>::max();
constexpr double kNoCrossingCreatorsScore = std::numeric_limits<double>::min();
auto WaterCrossingScore(
const PlayerId playerId,
const BattalionTypeGetter &battalionTypeGetter,
const GameStateW &gameState,
const CoordsSet &castleCoords,
const CoordsSet &startCrossingFrom,
const APDCache &apdCache) -> double {
uint32_t castleClaimCount = 0;
for (const auto *unit : *gameState->units()) {
if (unit->player_id() != playerId) continue;
const auto status = unit->status();
if (status != net::eagle0::shardok::storage::fb::UnitStatus_NORMAL_UNIT &&
status != net::eagle0::shardok::storage::fb::UnitStatus_RESERVE_UNIT)
continue;
if (!unit->has_attached_hero()) continue;
++castleClaimCount;
}
CoordsSet destinations = castleCoords;
if (castleClaimCount < castleCoords.size()) {
destinations = CoordsSet(gameState->hex_map());
for (const auto *enemyUnit : *gameState->units()) {
if (enemyUnit->player_id() == playerId) continue;
const auto status = enemyUnit->status();
if (status != net::eagle0::shardok::storage::fb::UnitStatus_NORMAL_UNIT) continue;
AssertValid(enemyUnit->location(), gameState->hex_map());
destinations.Add(enemyUnit->location());
}
}
const auto unitIdsRequiringCrossing = UnitIdsRequiringWaterCrossing(
gameState,
playerId,
castleCoords,
apdCache,
battalionTypeGetter);
if (unitIdsRequiringCrossing.empty()) return kNoRequiredCrossingScore;
const auto unitIdsCreatingCrossing =
UnitIdsToCreateWaterCrossing(gameState, playerId, battalionTypeGetter);
if (unitIdsCreatingCrossing.empty()) return kNoCrossingCreatorsScore;
double totalScore = 0;
const auto mapId = ActionPointDistancesCache::GetMapId(gameState->hex_map());
// First put a big penalty on the distance for units that can create a crossing
for (const UnitId uid : unitIdsCreatingCrossing) {
const Unit *unit = gameState->units()->Get(uid);
const auto &battalionType = battalionTypeGetter(unit->battalion().type());
Coords location = unit->location();
int thisDistance;
if (location.row() < 0) thisDistance = 1000;
else {
const auto *apd = apdCache->GetRaw(gameState->hex_map(), mapId, battalionType, false);
thisDistance = MinimumDistance(apd, location, startCrossingFrom);
}
totalScore -= thisDistance * 100.0;
}
// Now a smaller penalty for distance for units that need to cross, except if they block -- then
// a large penalty
for (const UnitId uid : unitIdsRequiringCrossing) {
// If this unit ID can also create a crossing, we already handled it
if (std::ranges::contains(unitIdsCreatingCrossing, uid)) continue;
const Unit *unit = gameState->units()->Get(uid);
const auto &battalionType = battalionTypeGetter(unit->battalion().type());
Coords location = unit->location();
const auto *apd = apdCache->GetRaw(gameState->hex_map(), mapId, battalionType, false);
int thisDistance;
if (location.row() < 0) thisDistance = 1000;
else { thisDistance = MinimumDistance(apd, location, startCrossingFrom); }
bool targetBlocks = false;
// If we're not capable of creating a crossing, don't get in the way of somebody that is.
for (const UnitId crossingUid : unitIdsCreatingCrossing) {
const auto *crossingCapableUnit = gameState->units()->Get(crossingUid);
// Don't check for units that aren't yet placed
if (crossingCapableUnit->location().row() < 0) continue;
AssertValid(crossingCapableUnit->location(), gameState->hex_map());
if (thisDistance <
MinimumDistance(apd, crossingCapableUnit->location(), startCrossingFrom)) {
targetBlocks = true;
break;
}
}
if (targetBlocks) continue;
totalScore -= thisDistance;
}
return totalScore;
}
} // namespace shardok
@@ -5,7 +5,6 @@
#ifndef EAGLE0_AIWATERCROSSINGCALCULATOR_HPP
#define EAGLE0_AIWATERCROSSINGCALCULATOR_HPP
#include "src/main/cpp/net/eagle0/shardok/ai/AICommonTypes.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/GameStateW.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/action_point_distances/ActionPointDistancesCache.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/map/CoordsSet.hpp"
@@ -35,13 +34,14 @@ auto UnitIdsRequiringWaterCrossing(
PlayerId pid,
const CoordsSet& destinations,
const APDCache& apdCache,
const BattalionTypeGetter& battalionTypeGetter) -> vector<UnitId>;
const SettingsGetter& settings) -> vector<UnitId>;
// Units belonging to the player that are capable of creating water crossings
auto UnitIdsToCreateWaterCrossing(
const GameStateW& gameState,
PlayerId pid,
const BattalionTypeGetter& battalionTypeGetter) -> vector<UnitId>;
const APDCache& apdCache,
const SettingsGetter& settings) -> vector<UnitId>;
// Whether a unit of the given type can reach destination from origin, given the current state
// of the map
@@ -71,17 +71,9 @@ auto IntendedCrossingStarts(
const GameStateW& gameState,
const vector<UnitId>& unitIdsCreatingCrossing,
const CoordsSet& tilesToStartCrossingFrom,
const MapId& mapId,
const APDCache& apdCache,
const BattalionTypeGetter& battalionTypeGetter) -> CoordsSet;
// Calculate score based on water crossing strategy
auto WaterCrossingScore(
PlayerId playerId,
const BattalionTypeGetter& battalionTypeGetter,
const GameStateW& gameState,
const CoordsSet& castleCoords,
const CoordsSet& startCrossingFrom,
const APDCache& apdCache) -> double;
const SettingsGetter& settings) -> CoordsSet;
} // namespace shardok
@@ -18,7 +18,7 @@ constexpr ScoreValue kNoRequiredCrossingScore = std::numeric_limits<ScoreValue>:
constexpr ScoreValue kNoCrossingCreatorsScore = std::numeric_limits<ScoreValue>::min();
[[nodiscard]] auto AIWaterCrossingCommandChooser::WaterCrossingScore(
const BattalionTypeGetter &battalionTypeGetter,
const SettingsGetter &settingsGetter,
const GameStateW &gameState,
const CoordsSet &castleCoords,
const CoordsSet &startCrossingFrom) const -> ScoreValue {
@@ -51,13 +51,15 @@ constexpr ScoreValue kNoCrossingCreatorsScore = std::numeric_limits<ScoreValue>:
playerId,
castleCoords,
apdCache,
battalionTypeGetter);
settingsGetter);
if (unitIdsRequiringCrossing.empty()) return kNoRequiredCrossingScore;
const auto unitIdsCreatingCrossing =
UnitIdsToCreateWaterCrossing(gameState, playerId, battalionTypeGetter);
UnitIdsToCreateWaterCrossing(gameState, playerId, apdCache, settingsGetter);
if (unitIdsCreatingCrossing.empty()) return kNoCrossingCreatorsScore;
fprintf(stderr, "%lu units require a water crossing\n", unitIdsRequiringCrossing.size());
ScoreValue totalScore = 0;
const auto mapId = ActionPointDistancesCache::GetMapId(gameState->hex_map());
@@ -65,7 +67,7 @@ constexpr ScoreValue kNoCrossingCreatorsScore = std::numeric_limits<ScoreValue>:
// First put a big penalty on the distance for units that can create a crossing
for (const UnitId uid : unitIdsCreatingCrossing) {
const Unit *unit = gameState->units()->Get(uid);
const auto &battalionType = battalionTypeGetter(unit->battalion().type());
const auto &battalionType = settingsGetter.GetBattalionType(unit->battalion().type());
Coords location = unit->location();
int thisDistance;
@@ -86,7 +88,7 @@ constexpr ScoreValue kNoCrossingCreatorsScore = std::numeric_limits<ScoreValue>:
if (std::ranges::contains(unitIdsCreatingCrossing, uid)) continue;
const Unit *unit = gameState->units()->Get(uid);
const auto &battalionType = battalionTypeGetter(unit->battalion().type());
const auto &battalionType = settingsGetter.GetBattalionType(unit->battalion().type());
Coords location = unit->location();
const auto *apd = apdCache->GetRaw(gameState->hex_map(), mapId, battalionType, false);
@@ -118,7 +120,7 @@ constexpr ScoreValue kNoCrossingCreatorsScore = std::numeric_limits<ScoreValue>:
}
auto AIWaterCrossingCommandChooser::StartCrossingFrom(
const BattalionTypeGetter &battalionTypeGetter,
const SettingsGetter &settingsGetter,
const GameStateW &gameState,
const CoordsSet &castleCoords) const -> CoordsSet {
CoordsSet startCrossingFrom(gameState->hex_map());
@@ -152,16 +154,16 @@ auto AIWaterCrossingCommandChooser::StartCrossingFrom(
playerId,
castleCoords,
apdCache,
battalionTypeGetter);
settingsGetter);
if (unitIdsRequiringCrossing.empty()) return startCrossingFrom;
const auto unitIdsCreatingCrossing =
UnitIdsToCreateWaterCrossing(gameState, playerId, battalionTypeGetter);
UnitIdsToCreateWaterCrossing(gameState, playerId, apdCache, settingsGetter);
if (unitIdsCreatingCrossing.empty()) return startCrossingFrom;
for (const UnitId uid : unitIdsRequiringCrossing) {
const Unit *unit = gameState->units()->Get(uid);
const auto &battalionType = battalionTypeGetter(unit->battalion().type());
const auto &battalionType = settingsGetter.GetBattalionType(unit->battalion().type());
Coords origin = unit->location();
// FIXME: this is just grabbing the first starting position, ideally we'd try them all
@@ -6,16 +6,19 @@
#define EAGLE0_AIWATERCROSSINGCOMMANDCHOOSER_HPP
#include <utility>
#include <vector>
#include "src/main/cpp/net/eagle0/shardok/ai/AICommonTypes.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/GameStateW.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/action_point_distances/ActionPointDistancesCache.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/fb_helpers/FlatbufferWrapper.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/map/CoordsSet.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/settings/GameSettings.hpp"
#include "src/main/flatbuffer/net/eagle0/shardok/storage/game_state.hpp"
#include "src/main/protobuf/net/eagle0/shardok/api/command_descriptor.pb.h"
namespace shardok {
using CommandProto = net::eagle0::shardok::api::CommandDescriptor;
using GameState = net::eagle0::shardok::storage::fb::GameState;
using Unit = net::eagle0::shardok::storage::fb::Unit;
using ScoreValue = double;
@@ -30,13 +33,13 @@ public:
: playerId(pid),
apdCache(std::move(apdCache)) {}
[[nodiscard]] auto StartCrossingFrom(
const BattalionTypeGetter &battalionTypeGetter,
auto StartCrossingFrom(
const SettingsGetter &settingsGetter,
const GameStateW &gameState,
const CoordsSet &castleCoords) const -> CoordsSet;
[[nodiscard]] auto WaterCrossingScore(
const BattalionTypeGetter &battalionTypeGetter,
const SettingsGetter &settingsGetter,
const GameStateW &gameState,
const CoordsSet &castleCoords,
const CoordsSet &startCrossingFrom) const -> ScoreValue;
@@ -210,556 +210,4 @@ Where:
- **Magnitude**: Indicates confidence/importance of the evaluation
- **Relative scoring**: Only score differences matter, not absolute values
This scoring system provides a robust framework for tactical AI decision-making, balancing immediate tactical gains with strategic objectives while handling the uncertainty inherent in combat outcomes.
## AIScoreCalculator Function Reference
### Public Interface Functions
#### `GuessedStateScore`
**Purpose**: Evaluates the score of a game state from the perspective of the current AI strategy without performing any commands.
**Parameters**:
- `isDefender`: Whether the AI is playing as defender
- `state`: Current game state to evaluate
- `aiStrategy`: Strategy being used (attack castles, hold castles, scatter, etc.)
- `allCastleCoords`: Set of all castle coordinates on the map
- `settingsGetter`: Game configuration and rules
- `apdCache`: Cached action point distances for movement calculations
- `alCache`: Cached attack locations for combat calculations
**Returns**: Score value representing how favorable the state is for the evaluating player (positive = good, negative = bad)
#### `CommandScore`
**Purpose**: Evaluates the score for a specific command using lookahead search to consider future consequences.
**Parameters**:
- `pid`: Player ID executing the command
- `isDefender`: Whether the player is a defender
- `remainingLookahead`: Depth of recursive search remaining
- `maxRepeatCount`: Number of random simulations for non-deterministic commands
- `guessedEngine`: Current game engine state
- `attackerStrategy`: Strategy being used by attackers
- `currentUtility`: Current game state score before command execution
- `settingsGetter`: Game configuration
- `allCastleCoords`: Castle locations
- `apdCache` & `alCache`: Cached distance/attack calculations
- `commandIndex`: Index of command to evaluate
- `deadline`: Time limit for computation
**Returns**: Future containing the final score after lookahead evaluation
### Internal Core Functions
#### `BuildDecisionTree` (NEW)
**Purpose**: Builds a complete decision tree containing all evaluated command paths up to the specified depth.
**Process**:
1. Filters commands using `AICommandFilter` to reduce search space
2. For each command, calls `ExecuteCommandForTree` to build complete subtrees
3. Returns full tree with all possible moves and their consequences
4. Identifies best command within the complete tree structure
**Returns**: `std::future<CommandDecisionTree>` containing the complete decision tree
#### `BestCommandIndex` (Legacy - Wrapper)
**Purpose**: Backward compatibility wrapper that uses `BuildDecisionTree` but returns traditional `IndexAndScore`.
**Process**:
1. Calls `BuildDecisionTree` to get complete tree
2. Extracts best command information for compatibility
3. Returns only the optimal command details in legacy format
#### `ExecuteCommandForTree` (NEW)
**Purpose**: Executes a command and creates a tree node with the resulting game state and scores.
**Process**:
1. Creates engine copy and executes the command with given random seed
2. Creates `CommandTreeNode` with command results and game state
3. Calculates immediate score using `GuessedStateScore`
4. Calls `RecursiveTreeBuilder` to populate child nodes if depth allows
5. Calculates lookahead score from children (or uses immediate score)
**Returns**: `std::unique_ptr<CommandTreeNode>` containing the command execution results and subtree
#### `RecursiveTreeBuilder` (NEW)
**Purpose**: Recursively populates child nodes of a tree node by building subtrees for subsequent moves.
**Process**:
1. Gets available commands for the next player
2. Filters commands to reduce search space
3. For each command, calls `ExecuteCommandForTree` to create child nodes
4. Handles different command types (deterministic, odds-based, random)
5. Populates the parent node's children vector with complete subtrees
#### `CalcOne` (Legacy)
**Purpose**: Executes a single command simulation with specified randomness and returns both immediate and lookahead scores.
**Process**:
1. Creates engine copy and executes the command with given random seed
2. Calculates immediate score using `GuessedStateScore`
3. Initiates recursive lookahead calculation if depth remains
4. Handles timeouts gracefully by returning default scores
#### `EvaluateCommand`
**Purpose**: Lower-level command evaluation that handles different command types appropriately.
**Command Type Handling**:
- **Deterministic**: Single evaluation with average randomness (0.5)
- **Odds-based**: Two evaluations (success/failure) weighted by success probability
- **Non-deterministic**: Multiple evaluations with distributed random values, averaged
#### `BasicLookaheadCalculator`
**Purpose**: Recursive lookahead search that finds the best future command sequence and propagates scores backward.
**Features**:
- Uses transposition table to cache previously computed positions
- Handles depth limits and terminal states
- Returns futures for asynchronous computation
- Stores results in transposition table for reuse
### Strategy-Specific Scoring Functions
#### `AttackerScoreForState`
**Purpose**: Calculates state score from attacker perspective based on strategy type.
**Strategy Support**:
- `STRATEGY_ATTACK_CASTLES`: Prioritizes capturing castle positions
- `STRATEGY_ATTACK_UNITS`: Focuses on eliminating defender units
- `STRATEGY_HOLD_CASTLES`: Maintains control of captured castles
- `STRATEGY_CROSS_RIVERS`: Special water crossing objectives
- `STRATEGY_FLEE`: Escape-focused scoring
#### `DefenderScoreForState`
**Purpose**: Calculates state score from defender perspective.
**Strategy Support**:
- `STRATEGY_HOLD_CASTLES`: Defend critical castle positions
- `STRATEGY_SCATTER`: Spread units to avoid elimination
- `STRATEGY_FLEE`: Escape-focused scoring
#### `AttackerUnitsScore`
**Purpose**: Core unit valuation function that calculates total value of all units on the board with contextual modifiers.
**Features**:
- Uses `UnitValue` for individual unit calculations
- Applies distance multipliers based on proximity to objectives
- Handles special cases like undead, VIP units, and scattered defenders
- Incorporates castle bonuses and environmental penalties
### Specialized Strategy Functions
#### `DefenderScatterStrategyScoreForState`
**Purpose**: Implements scatter strategy scoring that rewards defensive units for staying far from enemies and friendlies.
#### `DefenderHoldCastlesStrategyScoreForState`
**Purpose**: Implements castle defense strategy with victory condition scoring.
#### `FleeStrategyScoreForState`
**Purpose**: Implements flee strategy that heavily penalizes remaining on the battlefield.
### Utility Functions
#### `AttackerMultiplierForTargetDistance`
**Purpose**: Calculates distance-based scoring multipliers for attackers based on proximity to priority targets.
**Features**:
- Uses recursive priority list evaluation
- Accounts for occupied vs. unoccupied targets
- Incorporates brave water crossing capabilities
- Uses cached action point distances for efficiency
#### `CommandSorter`
**Purpose**: Comparison function for ranking commands by lookahead score (primary) and immediate score (tiebreaker).
#### `IsDeterministic`
**Purpose**: Determines if a command type has predictable outcomes or requires random simulation.
### Performance and Caching
#### `EffectiveDistanceCache`
**Purpose**: Memoization cache for expensive distance calculations between units and targets.
#### `AttackerScorePerformanceLogger`
**Purpose**: Performance monitoring system that tracks call frequency and timing for `AttackerScoreForState`.
The function architecture supports parallel evaluation, caching, and recursive lookahead while maintaining separation between strategy-specific logic and core evaluation mechanics.
## Decision Tree Data Structures (NEW)
### CommandTreeNode
**Purpose**: Represents a single command execution and its consequences in the decision tree.
**Key Fields**:
- `commandIndex`: Index of the command in the original command list
- `commandType`: Type of command (MOVE, MELEE, END_TURN, etc.)
- `immediateScore`: Score of the game state immediately after this command
- `lookaheadScore`: Best achievable score considering future moves
- `resultingGameState`: Game state after command execution
- `children`: Vector of child nodes representing subsequent possible moves
- `playerId`, `depth`, `isDefender`: Metadata about the command context
**Features**:
- Stores complete game state for each decision point
- Maintains parent-child relationships for tree traversal
- Supports both immediate and lookahead scoring
- Contains metadata for debugging and analysis
### CommandDecisionTree
**Purpose**: Complete decision tree containing all evaluated command paths from a given position.
**Key Fields**:
- `rootNodes`: All possible first moves from the starting position
- `bestCommand`: Pointer to the optimal root command
- `maxDepth`: Maximum lookahead depth of the tree
- `totalNodes`: Total number of nodes in the tree (for statistics)
**Features**:
- Provides complete visibility into AI decision-making process
- Enables analysis of alternative moves and their consequences
- Supports tree statistics and debugging information
- Maintains backward compatibility through `GetBestCommandIndex()`
**Memory Management**:
- Uses `std::unique_ptr` for automatic memory cleanup
- `GameStateW` objects are stored directly (not shared pointers for simplicity)
- Tree structure ensures proper cleanup when nodes go out of scope
### Tree vs. Legacy Approach Comparison
| Aspect | Legacy (Single Best) | Tree-Based (Complete) |
|--------|---------------------|----------------------|
| **Output** | Best command only | Complete decision tree |
| **Memory** | Minimal | Higher (stores all paths) |
| **Analysis** | Limited visibility | Full decision transparency |
| **Debugging** | Single command info | Complete move sequences |
| **Performance** | Slightly faster | Comparable (same calculations) |
| **Compatibility** | Direct usage | Wrapper maintains compatibility |
### Usage Patterns
**For AI Decision Making**:
```cpp
auto treeFuture = BuildDecisionTree(pid, isDefender, depth, maxRepeat,
engine, strategy, utility, settings,
castles, apdCache, alCache, deadline);
CommandDecisionTree tree = treeFuture.get();
size_t bestCommand = tree.bestCommand->commandIndex;
```
**For Analysis and Debugging**:
```cpp
CommandDecisionTree tree = treeFuture.get();
// Examine all possible moves
for (const auto& rootNode : tree.rootNodes) {
std::cout << "Command " << rootNode->commandIndex
<< " Score: " << rootNode->lookaheadScore << std::endl;
// Traverse children to see consequences
for (const auto& child : rootNode->children) {
// ... analyze child moves
}
}
```
**Legacy Compatibility**:
```cpp
// Existing code continues to work unchanged
auto indexScoreFuture = BestCommandIndex(pid, isDefender, ...);
IndexAndScore result = indexScoreFuture.get();
size_t bestCommand = result.index;
```
The tree-based approach provides complete decision transparency while maintaining full backward compatibility with existing AI code.
## MCTS Alternative: Randomness Handling Recommendations
The new MCTS-based AI system is available in `MCTSAI.hpp/.cpp` and provides an alternative to the iterative deepening approach. However, the current MCTS implementation uses simplified randomness handling compared to the sophisticated approach in the original system.
### Current MCTS Limitations
1. **Expansion Phase**: Uses average rolls (0.5) for all commands during tree expansion
2. **Simulation Phase**: Uses random command selection with average rolls
3. **Missing**: No explicit chance nodes for commands with `HasOdds()`
4. **Missing**: No multi-sample evaluation for stochastic commands
### Recommended Improvements: Chance Node Integration
#### 1. **Explicit Chance Nodes** (Highest Priority)
For commands with `HasOdds()`, create explicit chance nodes in the MCTS tree:
```cpp
// During MCTSExpansion
if (descriptor->HasOdds()) {
// Create TWO child nodes: success and failure
auto successNode = CreateMCTSNode(commandIndex, SUCCESS_VARIANT);
auto failureNode = CreateMCTSNode(commandIndex, FAILURE_VARIANT);
// Execute with deterministic rolls (matching original system)
ExecuteWithRoll(successNode, 1.0 - successChance/2.0); // High roll
ExecuteWithRoll(failureNode, (1.0 - successChance)/2.0); // Low roll
// Set probability weights for selection
successNode->probabilityWeight = successChance;
failureNode->probabilityWeight = 1.0 - successChance;
}
```
#### 2. **Weighted Selection for Chance Nodes**
Modify `MCTSSelection` to handle chance nodes:
```cpp
if (node->isChanceNode) {
// Select based on probability distribution, not UCB1
return SelectByProbability(node->children);
} else {
// Normal UCB1 selection for decision nodes
return node->GetBestChild(explorationConstant);
}
```
#### 3. **Probability-Weighted Backpropagation**
Update backpropagation to account for chance node probabilities:
```cpp
void MCTSBackpropagation(MCTSNode* node, double reward) {
while (node) {
node->visitCount++;
// Weight reward by probability for chance nodes
double weightedReward = reward;
if (node->parent && node->parent->isChanceNode) {
weightedReward *= node->probabilityWeight;
}
node->totalReward += weightedReward;
node->averageReward = node->totalReward / node->visitCount;
node = node->parent;
}
}
```
#### 4. **Multi-Sample Commands**
For commands without explicit odds but with randomness, use stratified sampling:
```cpp
// During expansion, create multiple child nodes with different rolls
for (int sample = 0; sample < numSamples; ++sample) {
double roll = static_cast<double>(sample) / (numSamples - 1);
auto sampleNode = CreateMCTSNodeWithRoll(commandIndex, roll);
sampleNode->probabilityWeight = 1.0 / numSamples;
}
```
### Benefits of Chance Node Integration
1. **Accurate Evaluation**: Preserves the sophisticated randomness handling from the original system
2. **Better Convergence**: MCTS can properly explore both success/failure outcomes
3. **Realistic Simulations**: Tree accurately represents game's probability distributions
4. **Comparable Results**: Makes MCTS results directly comparable to iterative deepening
### Implementation Priority
1. **Phase 1**: Add explicit chance nodes for `HasOdds()` commands
2. **Phase 2**: Implement probability-weighted selection and backpropagation
3. **Phase 3**: Add multi-sample support for general stochastic commands
4. **Phase 4**: Optimize performance with lazy expansion of chance nodes
### Alternative: Determinization Approach
If explicit chance nodes prove too complex, consider **determinization**:
- Run multiple MCTS trees with different fixed random seeds
- Aggregate results across all determinizations
- Simpler to implement but potentially less accurate than explicit chance nodes
### Switching Between AI Systems
Both AI systems (`IterativeDeepeningAI` and `MCTSAI`) implement compatible interfaces. The algorithm is selected at **runtime** via the ShardokAIClient constructor:
```cpp
// Using Iterative Deepening (default)
ShardokAIClient client(playerId, isDefender, hexMap, settings);
// Or explicitly:
ShardokAIClient client(playerId, isDefender, hexMap, settings,
AIAlgorithmType::ITERATIVE_DEEPENING);
// Using MCTS
ShardokAIClient client(playerId, isDefender, hexMap, settings,
AIAlgorithmType::MCTS);
// Note: MCTS configuration can be customized via MCTSConfig:
// - maxIterations: 10000 (max MCTS iterations per move)
// - maxSimulationDepth: 10 (depth for rollout phase)
// - maxTreeDepth: 20 (max tree depth to prevent stack overflow)
// - explorationConstant: 1.414 (UCB1 exploration vs exploitation)
// - useMultithreading: true (APD cache is thread-safe with TLS + mutex protection)
// - numThreads: 4
```
The selection is made per AI client instance, allowing different algorithms for different players or game situations within the same server process.
#### Direct AI Usage (Lower Level)
Both AI systems can also be used directly:
```cpp
// Using Iterative Deepening directly
auto iterativeAI = IterativeDeepeningAI(playerId, isDefender, strategy,
castleCoords, apdCache, alCache);
auto result = iterativeAI.IterativeSearch(settings, state, commands, budget);
// Using MCTS directly
auto mctsAI = MCTSAI(playerId, isDefender, strategy,
castleCoords, apdCache, alCache);
auto result = mctsAI.Search(settings, state, commands, budget);
```
#### Algorithm Comparison
| Feature | Iterative Deepening | MCTS |
|---------|-------------------|------|
| **Randomness Handling** | Sophisticated (chance nodes, multi-sample) | Simplified (average rolls) |
| **Performance** | Single-threaded | Multithreaded |
| **Search Type** | Fixed depth with iterative deepening | Adaptive with time budget |
| **Memory Usage** | Lower | Higher (maintains tree) |
| **Max Tree Depth** | Limited by lookahead setting | Limited by `maxTreeDepth` config (default: 20) |
| **Tree Destruction** | Not applicable | Iterative (avoids stack overflow) |
| **Best For** | Precise evaluation, production | Performance testing, fast decisions |
The MCTS implementation provides a solid foundation. Known limitations:
1. **Randomness Handling**: Simplified compared to iterative deepening (no explicit chance nodes)
2. **Simulation Quality**: Uses random rollouts instead of sophisticated evaluation
Note: The APD cache is fully thread-safe using thread-local storage and mutex-protected shared cache.
Adding chance node handling and ensuring thread safety would make it a superior replacement for the iterative deepening approach while maintaining the sophisticated randomness evaluation that makes the current system effective.
## MCTS Configuration Options
The MCTS AI system provides extensive configuration through the `MCTSConfig` structure:
### Core MCTS Parameters
```cpp
struct MCTSConfig {
double explorationConstant = 1.414; // UCB1 constant (sqrt(2) by default)
int maxSimulationDepth = 1000; // Maximum depth for rollout
int maxTreeDepth = 2000; // Maximum tree depth to prevent stack overflow
bool useMultithreading = true; // Enable parallel MCTS
int numThreads = 16; // Number of threads for parallel MCTS (when enabled)
MCTSSimulationPolicy simulationPolicy = MCTSSimulationPolicy::BEST_IMMEDIATE;
bool enableTranspositionDetection = true; // Enable pruning of duplicate states
double immediateScoreTieBreakThreshold = 5.0; // When avg rewards differ by less than this, prefer higher immediate score
double visitCountTolerance = 0.05; // Treat visit counts as equal if within this % of best count
bool enableImmediateScoreInUCB1 = true; // Apply immediate score tie-breaking in UCB1 selection too
};
```
### Exploration vs Exploitation
- **`explorationConstant`**: Controls the exploration vs exploitation balance in UCB1 selection
- Higher values (>1.414): More exploration of unvisited nodes
- Lower values (<1.414): More exploitation of known good moves
- Default: 1.414 (√2, theoretical optimum for UCB1)
### Tree Structure Limits
- **`maxTreeDepth`**: Prevents stack overflow in deep game trees
- Default: 2000 (very high limit for most tactical scenarios)
- Terminal detection stops expansion when this depth is reached
- **`maxSimulationDepth`**: Controls rollout length during simulation phase
- Default: 1000 (sufficient for most tactical scenarios)
- Longer simulations provide more accurate estimates but use more time
### Multithreading Configuration
- **`useMultithreading`**: Enable/disable parallel MCTS execution
- Default: true (takes advantage of modern multi-core CPUs)
- Requires thread-safe game engine and scoring components
- **`numThreads`**: Number of worker threads for parallel tree building
- Default: 16 (adjust based on available CPU cores)
- More threads can improve search speed but with diminishing returns
### Simulation Policies
The `MCTSSimulationPolicy` enum controls how commands are selected during the rollout phase:
- **`RANDOM`**: Pure random selection from all available commands
- Fastest but least informed simulations
- Good baseline for testing MCTS convergence
- **`FILTERED_RANDOM`**: Random selection from AICommandFilter-approved commands
- Eliminates obviously bad moves (moving away from objectives, etc.)
- Better simulation quality with minimal overhead
- **`BEST_IMMEDIATE`**: Always choose command with highest immediate score
- Most informed simulations
- Slower but higher quality rollouts
- Default setting for production use
- **`WEIGHTED_BEST_IMMEDIATE`**: Random selection weighted by immediate score ranking
- Balances exploration with informed choice
- Alternative to pure greedy selection
### Transposition Detection
- **`enableTranspositionDetection`**: Enable pruning of duplicate game states
- Default: true (improves search efficiency)
- Uses hash-based state identification
- Prevents wasted computation on equivalent positions reached via different move sequences
### Immediate Score Tie-Breaking
These settings address MCTS's tendency to choose indirect paths when direct paths lead to the same outcome:
- **`immediateScoreTieBreakThreshold`**: Score difference threshold for tie-breaking
- Default: 5.0 (when backpropagated rewards differ by less than this, prefer immediate score)
- Helps AI choose direct moves over equivalent indirect sequences
- Improves user experience by reducing unnecessary intermediate moves
- **`visitCountTolerance`**: Visit count equality threshold for tie-breaking
- Default: 0.05 (5% tolerance - visit counts within this percentage are considered equal)
- Prevents minor visit count differences from overriding immediate score preferences
- **`enableImmediateScoreInUCB1`**: Apply immediate score tie-breaking during exploration
- Default: true (consistent tie-breaking in both exploration and final selection)
- When UCB1 values are very close, prefer nodes with higher immediate scores
- Improves convergence on direct paths to objectives
### Usage Example
```cpp
// Custom MCTS configuration for performance testing
MCTSConfig config;
config.explorationConstant = 2.0; // More exploration
config.simulationPolicy = MCTSSimulationPolicy::FILTERED_RANDOM; // Faster rollouts
config.numThreads = 8; // Reduce threads for testing environment
config.immediateScoreTieBreakThreshold = 10.0; // More aggressive tie-breaking
MCTSAI ai(playerId, isDefender, strategy, castleCoords, apdCache, alCache, config);
```
### Configuration Recommendations
**For Production Use:**
- Use default settings for balanced performance and quality
- Consider reducing `numThreads` on systems with limited CPU cores
- `BEST_IMMEDIATE` simulation policy provides highest quality decisions
**For Performance Testing:**
- `FILTERED_RANDOM` or `RANDOM` simulation policies for faster rollouts
- Lower `explorationConstant` (1.0) for more exploitation
- Disable transposition detection for baseline comparison
**For Analysis/Debugging:**
- Single-threaded execution (`useMultithreading = false`) for deterministic results
- Higher `immediateScoreTieBreakThreshold` to emphasize direct paths
- `BEST_IMMEDIATE` simulation for most predictable behavior
The configuration system allows fine-tuning MCTS behavior for different scenarios while maintaining compatibility with the existing AI infrastructure.
This scoring system provides a robust framework for tactical AI decision-making, balancing immediate tactical gains with strategic objectives while handling the uncertainty inherent in combat outcomes.
+52 -95
View File
@@ -1,16 +1,5 @@
load("//tools:copts.bzl", "COPTS")
cc_library(
name = "ai_common_types",
hdrs = ["AICommonTypes.hpp"],
copts = COPTS,
visibility = ["//visibility:public"],
deps = [
"//src/main/cpp/net/eagle0/shardok/library:battalion_type",
"//src/main/cpp/net/eagle0/shardok/library:shardok_c_types",
],
)
cc_library(
name = "ai_attacker_strategy_selector",
srcs = ["AIAttackerStrategySelector.cpp"],
@@ -39,15 +28,14 @@ cc_library(
hdrs = ["AIAttackGroups.hpp"],
copts = COPTS,
visibility = [
"//src/main/cpp/net/eagle0/shardok/ai:__subpackages__",
"//src/main/cpp/net/eagle0/shardok/ai_performance_runner:__pkg__",
"//src/test/cpp/net/eagle0/shardok/ai:__subpackages__",
"//src/test/cpp/net/eagle0/shardok/ai:__pkg__",
],
deps = [
":ai_attack_locations",
":ai_common_types",
":ai_score_utilities",
"//src/main/cpp/net/eagle0/shardok/library/action_point_distances:action_point_distances_cache",
"//src/main/cpp/net/eagle0/shardok/library/settings:game_settings",
"//src/main/cpp/net/eagle0/shardok/library/util:hex_map_utils",
"//src/main/flatbuffer/net/eagle0/shardok/storage:hex_map_cc_fbs",
"//src/main/flatbuffer/net/eagle0/shardok/storage:unit_cc_fbs",
@@ -59,10 +47,6 @@ cc_library(
srcs = ["AIAttackLocations.cpp"],
hdrs = ["AIAttackLocations.hpp"],
copts = COPTS,
visibility = [
"//src/main/cpp/net/eagle0/shardok/ai:__subpackages__",
"//src/test/cpp/net/eagle0/shardok/ai:__subpackages__",
],
deps = [
":ai_score_utilities",
"//src/main/cpp/net/eagle0/shardok/library/map:terrain",
@@ -101,14 +85,11 @@ cc_library(
hdrs = ["AIDistanceDebuf.hpp"],
copts = COPTS,
visibility = [
"//src/main/cpp/net/eagle0/shardok/ai:__subpackages__",
"//src/main/cpp/net/eagle0/shardok/ai_performance_runner:__pkg__",
"//src/test/cpp/net/eagle0/shardok/ai:__pkg__",
"//src/test/cpp/net/eagle0/shardok/ai:__subpackages__",
],
deps = [
":ai_attack_locations",
":ai_common_types",
":ai_score_utilities",
"//src/main/cpp/net/eagle0/shardok/library/action_point_distances",
"//src/main/cpp/net/eagle0/shardok/library/action_point_distances:action_point_distances_cache",
@@ -137,10 +118,8 @@ cc_library(
hdrs = ["AIScoreUtilities.hpp"],
copts = COPTS,
visibility = [
"//src/main/cpp/net/eagle0/shardok/ai:__subpackages__",
"//src/main/cpp/net/eagle0/shardok/ai_performance_runner:__pkg__",
"//src/test/cpp/net/eagle0/shardok/ai:__pkg__",
"//src/test/cpp/net/eagle0/shardok/ai:__subpackages__",
],
deps = [
"//src/main/cpp/net/eagle0/shardok/library:game_state_w",
@@ -163,48 +142,9 @@ cc_library(
":ai_score_utilities",
":ai_unit_score_calculator",
"//src/main/cpp/net/eagle0/shardok/library:engine",
"//src/main/cpp/net/eagle0/shardok/library/settings:game_settings",
"//src/main/cpp/net/eagle0/shardok/library/util:hex_map_utils",
],
)
cc_library(
name = "ai_heuristic_weighting",
srcs = ["AIHeuristicWeighting.cpp"],
hdrs = ["AIHeuristicWeighting.hpp"],
copts = COPTS,
visibility = [
"//src/main/cpp/net/eagle0/shardok/ai/mcts/adapters:__pkg__",
"//src/test/cpp/net/eagle0/shardok/ai:__pkg__",
],
deps = [
"//src/main/cpp/net/eagle0/shardok/library:game_state_w",
"//src/main/cpp/net/eagle0/shardok/library/action_point_distances:action_point_distances_cache",
"//src/main/cpp/net/eagle0/shardok/library/map:coords_set",
"//src/main/cpp/net/eagle0/shardok/library/util:hex_map_utils",
"//src/main/protobuf/net/eagle0/shardok/common:command_type_cc_proto",
],
)
cc_library(
name = "ai_command_evaluator",
srcs = ["AICommandEvaluator.cpp"],
hdrs = ["AICommandEvaluator.hpp"],
copts = COPTS,
visibility = [
"//src/main/cpp/net/eagle0/shardok/ai_performance_runner:__pkg__",
"//src/test/cpp/net/eagle0/shardok/ai:__pkg__",
],
deps = [
":ai_command_filter",
":ai_strategy",
":transposition_table",
"//src/main/cpp/net/eagle0/common:sequence_random_generator",
"//src/main/cpp/net/eagle0/shardok/ai/score:ai_score_calculator_interface",
"//src/main/cpp/net/eagle0/shardok/library:engine",
"//src/main/cpp/net/eagle0/shardok/library:game_state_w",
"//src/main/cpp/net/eagle0/shardok/library/map:coords_set",
"//src/main/cpp/net/eagle0/shardok/library/util:hex_cube_utils",
"//src/main/protobuf/net/eagle0/shardok/common:command_type_cc_proto",
"//src/main/protobuf/net/eagle0/shardok/api:command_descriptor_cc_proto",
],
)
@@ -214,18 +154,16 @@ cc_library(
hdrs = ["AICommandFilter.hpp"],
copts = COPTS,
visibility = [
"//src/main/cpp/net/eagle0/shardok/ai/mcts:__pkg__",
"//src/main/cpp/net/eagle0/shardok/ai/mcts/adapters:__pkg__",
"//src/main/cpp/net/eagle0/shardok/ai_performance_runner:__pkg__",
"//src/test/cpp/net/eagle0/shardok/ai:__pkg__",
],
deps = [
":ai_common_types",
"//src/main/cpp/net/eagle0/shardok/library:engine",
"//src/main/cpp/net/eagle0/shardok/library/action_point_distances:action_point_distances_cache",
"//src/main/cpp/net/eagle0/shardok/library/settings:game_settings",
"//src/main/cpp/net/eagle0/shardok/library/util:hex_map_utils",
"//src/main/flatbuffer/net/eagle0/shardok/storage:game_state_cc_fbs",
"//src/main/protobuf/net/eagle0/shardok/api:command_descriptor_cc_proto",
"//src/main/protobuf/net/eagle0/shardok/common:command_type_cc_proto",
],
)
@@ -244,19 +182,38 @@ cc_library(
],
)
cc_library(
name = "ai_score_calculator",
srcs = ["AIScoreCalculator.cpp"],
hdrs = ["AIScoreCalculator.hpp"],
copts = COPTS,
visibility = [
"//src/main/cpp/net/eagle0/shardok/ai_performance_runner:__pkg__",
"//src/test/cpp/net/eagle0/shardok/ai:__pkg__",
],
deps = [
":ai_attacker_strategy_selector",
":ai_command_filter",
":ai_unit_score_calculator",
":ai_victory_condition_score_calculator",
":transposition_table",
"//src/main/cpp/net/eagle0/common:sequence_random_generator",
"//src/main/cpp/net/eagle0/shardok/library:engine",
"//src/main/cpp/net/eagle0/shardok/library/view_filters:game_state_guesser",
],
)
cc_library(
name = "ai_strategy",
srcs = ["AIStrategy.cpp"],
hdrs = ["AIStrategy.hpp"],
copts = COPTS,
visibility = [
"//src/main/cpp/net/eagle0/shardok/ai:__subpackages__",
"//src/main/cpp/net/eagle0/shardok/ai_performance_runner:__pkg__",
"//src/test/cpp/net/eagle0/shardok/ai:__subpackages__",
],
deps = [
":ai_attack_groups",
"//src/main/cpp/net/eagle0/shardok/library/map:coords_set",
],
)
@@ -266,7 +223,6 @@ cc_library(
hdrs = ["AIUnitScoreCalculator.hpp"],
copts = COPTS,
visibility = [
"//src/main/cpp/net/eagle0/shardok/ai:__subpackages__",
"//src/main/cpp/net/eagle0/shardok/ai_performance_runner:__pkg__",
"//src/test/cpp/net/eagle0/shardok/ai:__subpackages__",
],
@@ -277,6 +233,27 @@ cc_library(
],
)
cc_library(
name = "ai_victory_condition_score_calculator",
srcs = ["AIVictoryConditionScoreCalculator.cpp"],
hdrs = ["AIVictoryConditionScoreCalculator.hpp"],
copts = COPTS,
visibility = [
"//src/main/cpp/net/eagle0/shardok/ai_performance_runner:__pkg__",
"//src/test/cpp/net/eagle0/shardok/ai:__subpackages__",
],
deps = [
":ai_attack_groups",
":ai_attack_locations",
":ai_distance_debuf",
":ai_score_utilities",
"//src/main/cpp/net/eagle0/shardok/library:game_state_w",
"//src/main/cpp/net/eagle0/shardok/library/action_point_distances",
"//src/main/cpp/net/eagle0/shardok/library/action_point_distances:action_point_distances_cache",
"//src/main/flatbuffer/net/eagle0/shardok/storage:game_state_cc_fbs",
],
)
cc_library(
name = "ai_water_crossing_calculator",
srcs = ["AIWaterCrossingCalculator.cpp"],
@@ -284,13 +261,10 @@ cc_library(
copts = COPTS,
visibility = [
"//src/main/cpp/net/eagle0/shardok:__pkg__",
"//src/main/cpp/net/eagle0/shardok/ai:__subpackages__",
"//src/test/cpp/net/eagle0/shardok/ai:__subpackages__",
],
deps = [
":ai_common_types",
":ai_minimum_distance_and_target",
"//src/main/cpp/net/eagle0/shardok/ai/score:ai_score_calculator_interface",
"//src/main/cpp/net/eagle0/shardok/library:game_state_w",
"//src/main/cpp/net/eagle0/shardok/library/action_point_distances",
"//src/main/cpp/net/eagle0/shardok/library/action_point_distances:action_point_distances_cache",
@@ -312,6 +286,7 @@ cc_library(
"//src/main/cpp/net/eagle0/shardok/library:game_state_w",
"//src/main/cpp/net/eagle0/shardok/library/action_point_distances",
"//src/main/cpp/net/eagle0/shardok/library/action_point_distances:action_point_distances_cache",
"//src/main/protobuf/net/eagle0/shardok/api:command_descriptor_cc_proto",
],
)
@@ -321,7 +296,6 @@ cc_library(
hdrs = ["AITimeBudget.hpp"],
copts = COPTS,
visibility = [
"//src/main/cpp/net/eagle0/shardok/ai/mcts:__pkg__",
"//src/main/cpp/net/eagle0/shardok/ai_performance_runner:__pkg__",
"//src/test/cpp/net/eagle0/shardok/ai:__pkg__",
],
@@ -340,30 +314,19 @@ cc_library(
hdrs = ["IterativeDeepeningAI.hpp"],
copts = COPTS,
visibility = [
"//src/main/cpp/net/eagle0/shardok/ai/mcts:__pkg__",
"//src/main/cpp/net/eagle0/shardok/ai_performance_runner:__pkg__",
"//src/test/cpp/net/eagle0/shardok/ai:__pkg__",
],
deps = [
":ai_attacker_strategy_selector",
":ai_command_evaluator",
":ai_defender_strategy_selector",
":ai_score_calculator",
":ai_time_budget",
":ai_water_crossing_command_chooser",
"//src/main/cpp/net/eagle0/common:time_utils",
"//src/main/cpp/net/eagle0/shardok/ai/score:ai_score_calculator_interface",
"//src/main/cpp/net/eagle0/shardok/library:engine",
"//src/main/cpp/net/eagle0/shardok/library/util:hex_map_utils",
],
)
cc_library(
name = "ai_config",
hdrs = ["AIConfig.hpp"],
copts = COPTS,
visibility = [
"//src/main/cpp/net/eagle0/shardok/ai_performance_runner:__pkg__",
"//src/test/cpp/net/eagle0/shardok/ai:__pkg__",
"//src/main/protobuf/net/eagle0/shardok/api:command_descriptor_cc_proto",
],
)
@@ -375,21 +338,15 @@ cc_library(
visibility = ["//visibility:public"],
deps = [
":ai_attacker_strategy_selector",
":ai_config",
":ai_defender_strategy_selector",
":ai_flee_decision_calculator",
":ai_iterative_deepening", # Direct dependency for runtime selection
":ai_iterative_deepening",
":ai_score_calculator",
":ai_time_budget",
":ai_water_crossing_command_chooser",
"//src/main/cpp/net/eagle0/common:time_utils",
"//src/main/cpp/net/eagle0/shardok/ai/mcts:shardok_mcts_ai", # MCTS with abstraction layer
"//src/main/cpp/net/eagle0/shardok/ai/score:ai_score_calculator_interface",
"//src/main/cpp/net/eagle0/shardok/ai/score:mcts_optimized_ai_score_calculator", # Bounded linear scorer for MCTS
"//src/main/cpp/net/eagle0/shardok/ai/score:normalized_ai_score_calculator", # Normalized [0,1] scorer for ML training
"//src/main/cpp/net/eagle0/shardok/ai/score:standard_ai_score_calculator", # Standard unbounded scorer (default)
"//src/main/cpp/net/eagle0/shardok/library/action_point_distances",
"//src/main/cpp/net/eagle0/shardok/library/action_point_distances:action_point_distances_cache",
"//src/main/cpp/net/eagle0/shardok/library/util:game_state_dumper",
"@com_google_protobuf//:protobuf",
],
)
@@ -10,9 +10,8 @@
#include <utility>
#include "AIAttackerStrategySelector.hpp"
#include "AICommandEvaluator.hpp"
#include "AIScoreCalculator.hpp"
#include "TranspositionTable.hpp"
#include "src/main/cpp/net/eagle0/shardok/ai/score/AIScoreCalculator.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/ShardokEngine.hpp"
namespace shardok {
@@ -24,21 +23,19 @@ IterativeDeepeningAI::IterativeDeepeningAI(
const bool isDefender,
AIStrategy strategy,
const CoordsSet& castleCoords,
const AIScoreCalculator& scorer,
const APDCache& apdCache,
BattalionTypeGetter battalionTypeGetter)
const ALCache& alCache)
: playerId(playerId),
isDefender(isDefender),
strategy(std::move(strategy)),
castleCoords(castleCoords),
scorer(scorer),
apdCache(apdCache),
battalionTypeGetter(std::move(battalionTypeGetter)) {} // Move the function object
alCache(alCache) {}
auto IterativeDeepeningAI::IterativeSearch(
const GameSettingsSPtr& settings,
const GameStateW& state,
const CommandListSPtr& commands,
const std::vector<CommandProto>& commands,
const AITimeBudget& initialBudget) const -> SearchResult {
// Make a mutable copy of the time budget to track remaining time
AITimeBudget timeBudget = initialBudget;
@@ -51,7 +48,7 @@ auto IterativeDeepeningAI::IterativeSearch(
// DEBUG: Clear TT to see if that's causing the suspicious depth reaching
// g_transpositionTable.clear(); // Uncomment to test without cross-search caching
if (commands->empty()) {
if (commands.empty()) {
#if DEBUG_ITERATIVE_DEEPENING_TIMINGS
printf("ID AI: Commands are empty, returning early\n");
#endif
@@ -70,14 +67,20 @@ auto IterativeDeepeningAI::IterativeSearch(
const auto& settingsGetter = settings->GetGetter();
const auto guessedEngine = ShardokEngine(settings, state);
const auto maxRepeatCount = settingsGetter.Backing().ai_utility_repeat_count();
const ScoreValue currentUtility =
scorer.GuessedStateScore(isDefender, state, strategy, castleCoords);
const ScoreValue currentUtility = AIScoreCalculator::GuessedStateScore(
isDefender,
state,
strategy,
castleCoords,
settingsGetter,
apdCache,
alCache);
// Initialize data structures for tracking scores at each depth
scoresByDepth.clear();
scoresByDepth.resize(commands->size());
scoresByDepth.resize(commands.size());
highestDepthCompleted.clear();
highestDepthCompleted.resize(commands->size(), 0);
highestDepthCompleted.resize(commands.size(), 0);
size_t currentDepth = 1;
size_t previousBestCommand = 0; // Track best command from previous depth
@@ -108,7 +111,7 @@ auto IterativeDeepeningAI::IterativeSearch(
auto future = SearchCommandAtDepthWithEngine(
guessedEngine,
scorer,
settingsGetter,
maxRepeatCount,
commands,
cmdIndex,
@@ -132,8 +135,7 @@ auto IterativeDeepeningAI::IterativeSearch(
evaluatedCount++;
// Check if this command is not END_TURN_COMMAND
if ((*commands)[cmdIndex]->GetCommandType() !=
net::eagle0::shardok::common::END_TURN_COMMAND) {
if (commands[cmdIndex].type() != net::eagle0::shardok::common::END_TURN_COMMAND) {
allEndTurnCommands = false;
}
}
@@ -144,7 +146,7 @@ auto IterativeDeepeningAI::IterativeSearch(
size_t currentBestCommand = 0;
ScoreValue currentBestScore = -std::numeric_limits<ScoreValue>::infinity();
for (size_t i = 0; i < commands->size(); ++i) {
for (size_t i = 0; i < commands.size(); ++i) {
if (highestDepthCompleted[i] >= currentDepth) {
if (scoresByDepth[i][currentDepth] > currentBestScore) {
currentBestScore = scoresByDepth[i][currentDepth];
@@ -157,20 +159,16 @@ auto IterativeDeepeningAI::IterativeSearch(
if (currentDepth > 1 && currentBestCommand != previousBestCommand) {
#if DEBUG_ITERATIVE_DEEPENING_TIMINGS
printf("ID AI: Best command changed at depth %lu:\n", currentDepth);
printf(" Depth %lu best: command %zu (score %.2f) - type: %s\n",
printf(" Depth %lu best: command %zu (score %.2f) - %s\n",
currentDepth - 1,
previousBestCommand,
scoresByDepth[previousBestCommand][currentDepth - 1],
net::eagle0::shardok::common::CommandType_Name(
(*commands)[previousBestCommand]->GetCommandType())
.c_str());
printf(" Depth %lu best: command %zu (score %.2f) - type: %s\n",
commands[previousBestCommand].DebugString().c_str());
printf(" Depth %lu best: command %zu (score %.2f) - %s\n",
currentDepth,
currentBestCommand,
currentBestScore,
net::eagle0::shardok::common::CommandType_Name(
(*commands)[currentBestCommand]->GetCommandType())
.c_str());
commands[currentBestCommand].DebugString().c_str());
#endif
}
@@ -249,7 +247,7 @@ auto IterativeDeepeningAI::IterativeSearch(
result.searchCompleted = result.minimumDepthCompleted;
result.timeUsed = std::chrono::duration_cast<std::chrono::milliseconds>(
std::chrono::steady_clock::now() - startTime);
result.availableCommandCount = commands->size();
result.availableCommandCount = commands.size();
result.commandCountEvaluated = evaluatedCountAtHighestDepth;
result.completionReason = completionReason;
@@ -272,9 +270,9 @@ bool IterativeDeepeningAI::IsTimeExpired(const AITimeBudget& budget) {
auto IterativeDeepeningAI::SearchCommandAtDepthWithEngine(
const ShardokEngine& guessedEngine,
const AIScoreCalculator& scorer,
const GameSettings::Getter& settingsGetter,
const int maxRepeatCount,
const CommandListSPtr& commands,
const std::vector<CommandProto>& commands,
const size_t commandIndex,
const int desiredDepth,
const ScoreValue currentUtility,
@@ -284,57 +282,65 @@ auto IterativeDeepeningAI::SearchCommandAtDepthWithEngine(
result.depthAchieved = desiredDepth;
result.searchCompleted = true;
result.minimumDepthCompleted = true;
result.availableCommandCount = commands->size();
result.availableCommandCount = commands.size();
result.commandCountEvaluated = 1; // We're evaluating just this command
if (commandIndex >= commands->size()) {
if (commandIndex >= commands.size()) {
result.bestScore = 0.0;
std::promise<SearchResult> p;
p.set_value(result);
return p.get_future();
}
// Track concurrent evaluations and adjust time accounting
AIEvaluationCounter counter;
const auto startTime = std::chrono::steady_clock::now();
try {
// Track concurrent evaluations and adjust time accounting
AIEvaluationCounter counter;
const auto startTime = std::chrono::steady_clock::now();
// Calculate deadline from remaining time budget
const auto deadline = startTime + timeBudget.remainingBudget;
// Calculate deadline from remaining time budget
const auto deadline = startTime + timeBudget.remainingBudget;
// Create command evaluator for lookahead search
AICommandEvaluator evaluator(scorer, apdCache, battalionTypeGetter);
// Get the future from CommandScore - don't wait yet
// Note: CommandScore expects remainingLookahead, not desiredDepth
// desiredDepth 1 = evaluate immediate (remainingLookahead 0)
// desiredDepth 2 = look 1 move ahead (remainingLookahead 1)
// desiredDepth N = look N-1 moves ahead (remainingLookahead N-1)
auto commandScoreFuture = AIScoreCalculator::CommandScore(
playerId,
isDefender,
desiredDepth - 1, // Convert desiredDepth to remainingLookahead
maxRepeatCount,
guessedEngine,
strategy,
currentUtility,
settingsGetter,
castleCoords,
apdCache,
alCache,
commandIndex,
deadline);
// Get the future from EvaluateCommand - don't wait yet
// Note: EvaluateCommand expects remainingLookahead, not desiredDepth
// desiredDepth 1 = evaluate immediate (remainingLookahead 0)
// desiredDepth 2 = look 1 move ahead (remainingLookahead 1)
// desiredDepth N = look N-1 moves ahead (remainingLookahead N-1)
auto commandScoreFuture = evaluator.EvaluateCommand(
playerId,
isDefender,
desiredDepth - 1, // Convert desiredDepth to remainingLookahead
maxRepeatCount,
guessedEngine,
strategy,
currentUtility,
castleCoords,
commandIndex,
deadline);
// Calculate time and adjust budget before waiting
// This is needed because we need to update timeBudget synchronously
const auto commandScore = commandScoreFuture.get();
// Calculate time and adjust budget before waiting
// This is needed because we need to update timeBudget synchronously
const auto commandScore = commandScoreFuture.get();
const auto elapsed = std::chrono::steady_clock::now() - startTime;
const int concurrentCount = AIEvaluationCounter::GetCurrentCount();
const auto adjustedElapsed = elapsed / std::max(1, concurrentCount);
const auto adjustedElapsedMs =
std::chrono::duration_cast<std::chrono::milliseconds>(adjustedElapsed);
const auto elapsed = std::chrono::steady_clock::now() - startTime;
const int concurrentCount = AIEvaluationCounter::GetCurrentCount();
const auto adjustedElapsed = elapsed / std::max(1, concurrentCount);
const auto adjustedElapsedMs =
std::chrono::duration_cast<std::chrono::milliseconds>(adjustedElapsed);
// Deduct adjusted time from remaining budget
timeBudget.remainingBudget -= adjustedElapsedMs;
// Deduct adjusted time from remaining budget
timeBudget.remainingBudget -= adjustedElapsedMs;
result.bestScore = commandScore;
result.bestScore = commandScore;
} catch (const std::exception& e) {
// If evaluation fails, return a neutral score rather than crashing
#if DEBUG_ITERATIVE_DEEPENING_TIMINGS
printf("SearchCommandAtDepthWithEngine: evaluation failed with exception: %s\n", e.what());
#endif
result.bestScore = 0.0;
}
std::promise<SearchResult> p;
p.set_value(result);
@@ -12,18 +12,17 @@
#include "AIStrategy.hpp"
#include "AITimeBudget.hpp"
#include "src/main/cpp/net/eagle0/shardok/ai/AIAttackLocations.hpp"
#include "src/main/cpp/net/eagle0/shardok/ai/score/AIScoreCalculator.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/ShardokCTypes.h"
#include "src/main/cpp/net/eagle0/shardok/library/ShardokCommand.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/action_point_distances/ActionPointDistancesCache.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/util/HexMapUtils.hpp"
#include "src/main/protobuf/net/eagle0/shardok/api/command_descriptor.pb.h"
namespace shardok {
// Forward declarations
class ShardokEngine;
using ScoreValue = double;
using BattalionTypeGetter = std::function<BattalionTypeSPtr(BattalionTypeId)>;
using CommandProto = net::eagle0::shardok::api::CommandDescriptor;
/// Reason why AI evaluation completed at the achieved depth.
enum class EvaluationCompletionReason {
@@ -62,14 +61,13 @@ public:
bool isDefender,
AIStrategy strategy,
const CoordsSet& castleCoords,
const AIScoreCalculator& scorer,
const APDCache& apdCache,
BattalionTypeGetter battalionTypeGetter); // Pass by value
const ALCache& alCache);
[[nodiscard]] SearchResult IterativeSearch(
const GameSettingsSPtr& settings,
const GameStateW& state,
const CommandListSPtr& commands,
const std::vector<CommandProto>& commands,
const AITimeBudget& initialBudget) const;
private:
@@ -77,9 +75,8 @@ private:
bool isDefender;
AIStrategy strategy;
CoordsSet castleCoords;
const AIScoreCalculator& scorer;
const APDCache& apdCache;
BattalionTypeGetter battalionTypeGetter; // Store by value, not reference!
const ALCache& alCache;
// Reusable vectors to reduce memory allocations
mutable std::vector<std::vector<ScoreValue>> scoresByDepth;
@@ -90,9 +87,9 @@ private:
[[nodiscard]] std::future<SearchResult> SearchCommandAtDepthWithEngine(
const ShardokEngine& guessedEngine,
const AIScoreCalculator& scorer,
const GameSettings::Getter& settingsGetter,
int maxRepeatCount,
const CommandListSPtr& commands,
const std::vector<CommandProto>& commands,
size_t commandIndex,
int desiredDepth,
ScoreValue currentUtility,

Some files were not shown because too many files have changed in this diff Show More