Compare commits

..
1 Commits
Author SHA1 Message Date
admin c8d7e03afe lock streaming text 2025-06-05 22:22:34 -07:00
1607 changed files with 43525 additions and 113617 deletions
+2 -8
View File
@@ -1,8 +1,5 @@
bazel-1.0.0.bazelrc
# for now: filter out annoying TASTY warnings
common --ui_event_filters=-INFO
common --enable_bzlmod
# Don't use toolchains_llvm for the swift app build
@@ -19,9 +16,9 @@ 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"
@@ -29,9 +26,6 @@ common --javacopt="-Xlint:-options"
common --linkopt=-Wl
common:macos --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 --java_language_version=17
common --java_runtime_version=remotejdk_17
common --tool_java_language_version=17
-3
View File
@@ -1,3 +0,0 @@
CompileFlags:
Add:
- "-std=c++23"
-4
View File
@@ -6,7 +6,3 @@
*.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
+7 -61
View File
@@ -3,23 +3,13 @@ name: Bazel Test
on:
push:
branches: [ "main" ]
paths:
- 'src/**'
- 'WORKSPACE'
- 'MODULE.bazel'
- 'BUILD.bazel'
- '.github/workflows/bazel_test.yml'
- '!src/main/csharp/**'
- '!src/test/csharp/**'
paths-ignore:
- "src/main/csharp/**"
- "src/test/csharp/**"
pull_request:
paths:
- 'src/**'
- 'WORKSPACE'
- 'MODULE.bazel'
- 'BUILD.bazel'
- '.github/workflows/bazel_test.yml'
- '!src/main/csharp/**'
- '!src/test/csharp/**'
paths-ignore:
- "src/main/csharp/**"
- "src/test/csharp/**"
permissions:
contents: read
@@ -34,54 +24,10 @@ 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
-63
View File
@@ -1,63 +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: |
sudo apt-get update
sudo apt-get install -y awscli
- name: Upload to DigitalOcean Spaces
env:
AWS_ACCESS_KEY_ID: ${{ secrets.ACCESS_KEY_ID }}
AWS_SECRET_ACCESS_KEY: ${{ secrets.SECRET_KEY }}
run: |
# Upload sysroot tarball to DO Spaces
aws s3 cp tools/sysroot/output/ubuntu_noble_amd64_sysroot.tar.xz \
s3://eagle0/sysroot/${{ 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/sysroot/${{ inputs.version }}/ubuntu_noble_amd64_sysroot.sha256 \
--endpoint-url https://sfo3.digitaloceanspaces.com \
--acl public-read
echo ""
echo "=== Sysroot uploaded ==="
echo "URL: https://eagle0.sfo3.digitaloceanspaces.com/sysroot/${{ 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.sfo3.digitaloceanspaces.com/sysroot/${{ inputs.version }}/ubuntu_noble_amd64_sysroot.tar.xz\"],"
echo ")"
+6 -8
View File
@@ -4,21 +4,19 @@ on:
push:
branches: [ "main" ]
paths:
- ".github/workflows/client_presigner.yml"
- "src/main/go/net/eagle0/client_download/**"
- "src/main/go/net/eagle0/util/**"
- "src/main/go/**"
- "!src/main/go/net/eagle0/web_functions/name-generator/**"
pull_request:
paths:
- ".github/workflows/client_presigner.yml"
- "src/main/go/net/eagle0/client_download/**"
- "src/main/go/net/eagle0/util/**"
- "src/main/go/**"
- "!src/main/go/net/eagle0/web_functions/name-generator/**"
permissions:
contents: read
jobs:
client-presigner:
runs-on: self-hosted
runs-on: ubuntu-22.04
steps:
- uses: actions/checkout@v4
@@ -26,7 +24,7 @@ jobs:
lfs: false
clean: false
- name: Build Client Presigner
run: bazel build --platforms=@io_bazel_rules_go//go/toolchain:linux_amd64 //src/main/go/net/eagle0/client_download
run: bazel build //src/main/go/net/eagle0/client_download
- name: Archive presigner binary
if: success() || failure()
uses: actions/upload-artifact@v4
-72
View File
@@ -1,72 +0,0 @@
name: Docker Build and Push
on:
push:
branches: [ "main" ]
paths:
- 'src/main/cpp/**'
- 'src/main/scala/**'
- 'src/main/protobuf/**'
- 'src/main/resources/**'
- 'ci/BUILD.bazel'
- 'MODULE.bazel'
- '.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
steps:
- name: Checkout repository
uses: actions/checkout@v4
with:
lfs: false
- name: Build Eagle Docker image
run: bazel build //ci:eagle_server_image
- 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
- name: Push Eagle image to DO registry
if: github.event_name == 'push' || (github.event_name == 'workflow_dispatch' && github.event.inputs.push_images == 'true')
run: bazel run //ci:eagle_server_push
build-shardok:
runs-on: self-hosted
steps:
- name: Checkout repository
uses: actions/checkout@v4
with:
lfs: false
- name: Build Shardok Docker image (cross-compile for Linux)
run: bazel build --platforms=//:linux_x86_64 //ci:shardok_server_image
- 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
- name: Push Shardok image to DO registry
if: github.event_name == 'push' || (github.event_name == 'workflow_dispatch' && github.event.inputs.push_images == 'true')
run: bazel run --platforms=//:linux_x86_64 //ci:shardok_server_push
-82
View File
@@ -1,82 +0,0 @@
name: Installer Build
on:
push:
branches: [ "main" ]
paths:
- ".github/workflows/installer_build.yml"
- "src/main/csharp/net/eagle0/clients/win/installer/**"
pull_request:
paths:
- ".github/workflows/installer_build.yml"
- "src/main/csharp/net/eagle0/clients/win/installer/**"
permissions:
contents: read
jobs:
build-installer:
runs-on: self-hosted
steps:
- uses: actions/checkout@v4
with:
lfs: false
clean: false
- name: Setup .NET 8
uses: actions/setup-dotnet@v4
with:
dotnet-version: '8.0.x'
- name: Restore dependencies
run: dotnet restore src/main/csharp/net/eagle0/clients/win/installer/EagleInstaller/EagleInstaller.csproj
- name: Build installer
run: dotnet publish src/main/csharp/net/eagle0/clients/win/installer/EagleInstaller/EagleInstaller.csproj -c Release -r win-x64 --self-contained true --output ./installer-output
- name: Archive installer binary
if: success() || failure()
uses: actions/upload-artifact@v4
with:
name: eagle-installer
path: ./installer-output/EagleInstaller.exe
- name: Verify installer exists
if: success()
run: |
if [ ! -f "./installer-output/EagleInstaller.exe" ]; then
echo "ERROR: EagleInstaller.exe not found at expected location"
echo "Directory contents:"
ls -la ./installer-output/
exit 1
fi
echo "Installer found at correct location"
- name: Deploy installer
if: success() && github.ref == 'refs/heads/main' && github.event_name == 'push'
env:
ACCESS_KEY_ID: ${{ secrets.ACCESS_KEY_ID }}
SECRET_KEY: ${{ secrets.SECRET_KEY }}
run: |
INSTALLER_PATH="$(pwd)/installer-output/EagleInstaller.exe"
echo "Using absolute path: $INSTALLER_PATH"
bazel run //src/main/go/net/eagle0/build/installer_build_handler:installer_build_handler -- "$INSTALLER_PATH"
- name: Update unified manifest
if: success() && github.ref == 'refs/heads/main' && github.event_name == 'push'
env:
ACCESS_KEY_ID: ${{ secrets.ACCESS_KEY_ID }}
SECRET_KEY: ${{ secrets.SECRET_KEY }}
run: |
# Create installer manifest content
INSTALLER_SHA=$(sha256sum ./installer-output/EagleInstaller.exe | cut -d' ' -f1)
echo "installer_version=$INSTALLER_SHA" > /tmp/installer_manifest.txt
echo "installer_url=installer/EagleInstaller.exe" >> /tmp/installer_manifest.txt
echo "=== Installer manifest content ==="
cat /tmp/installer_manifest.txt
echo "=================================="
# Update the unified manifest
bazel run //src/main/go/net/eagle0/build/manifest_manager:manifest_manager -- installer /tmp/installer_manifest.txt
+14 -8
View File
@@ -3,15 +3,21 @@ name: Mac History Editor Build
on:
push:
branches: [ "main" ]
paths:
- ".github/workflows/mac_history_build.yml"
- "src/main/swift/net/eagle0/EagleGameHistoryViewer/**"
- "src/main/protobuf/net/eagle0/eagle/**"
paths-ignore:
- "src/main/cpp/**"
- "src/main/scala/**"
- "src/main/csharp/**"
- "src/test/cpp/**"
- "src/test/scala/**"
- "src/test/csharp/**"
pull_request:
paths:
- ".github/workflows/mac_history_build.yml"
- "src/main/swift/net/eagle0/EagleGameHistoryViewer/**"
- "src/main/protobuf/net/eagle0/eagle/**"
paths-ignore:
- "src/main/cpp/**"
- "src/main/scala/**"
- "src/main/csharp/**"
- "src/test/cpp/**"
- "src/test/scala/**"
- "src/test/csharp/**"
permissions:
contents: read
+6 -18
View File
@@ -3,25 +3,13 @@ name: Shardok Build
on:
push:
branches: [ "main" ]
paths:
- 'src/main/cpp/**'
- 'src/main/proto/net/eagle0/shardok/**'
- 'src/main/proto/net/eagle0/common/**'
- 'src/main/go/net/eagle0/build/**'
- 'WORKSPACE'
- 'MODULE.bazel'
- 'BUILD.bazel'
- '.github/workflows/shardok_build.yml'
paths-ignore:
- "src/main/csharp/**"
- "src/test/csharp/**"
pull_request:
paths:
- 'src/main/cpp/**'
- 'src/main/proto/net/eagle0/shardok/**'
- 'src/main/proto/net/eagle0/common/**'
- 'src/main/go/net/eagle0/build/**'
- 'WORKSPACE'
- 'MODULE.bazel'
- 'BUILD.bazel'
- '.github/workflows/shardok_build.yml'
paths-ignore:
- "src/main/csharp/**"
- "src/test/csharp/**"
permissions:
contents: read
+12 -36
View File
@@ -3,33 +3,17 @@ name: Unity Build
on:
push:
branches: [ "main" ]
paths:
- ".github/workflows/unity_build.yml"
- "src/main/csharp/net/eagle0/clients/unity/**"
- "src/main/proto/**"
- "scripts/build_protos.sh"
- "scripts/build_plugins.sh"
- "scripts/build_windows_plugin.sh"
- "ci/github_actions/build_unity.sh"
- "ci/github_actions/restore_library.sh"
- "ci/github_actions/persist_library.sh"
- "MODULE.bazel"
- "WORKSPACE"
- "src/main/proto/net/eagle0/eagle/**/BUILD.bazel"
pull_request:
paths:
- ".github/workflows/unity_build.yml"
- "src/main/csharp/net/eagle0/clients/unity/**"
- "src/main/proto/**"
- "scripts/build_protos.sh"
- "scripts/build_plugins.sh"
- "scripts/build_windows_plugin.sh"
- "ci/github_actions/build_unity.sh"
- "ci/github_actions/restore_library.sh"
- "ci/github_actions/persist_library.sh"
- "MODULE.bazel"
- "WORKSPACE"
- "src/main/proto/**/BUILD.bazel"
paths-ignore:
- "src/main/cpp/**"
- "src/main/scala/**"
- "src/test/cpp/**"
- "src/test/scala/**"
# pull_request:
# paths-ignore:
# - "src/main/cpp/**"
# - "src/main/scala/**"
# - "src/test/cpp/**"
# - "src/test/scala/**"
permissions:
contents: read
@@ -52,18 +36,10 @@ 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'
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'
env:
ACCESS_KEY_ID: ${{ secrets.ACCESS_KEY_ID }}
SECRET_KEY: ${{ secrets.SECRET_KEY }}
run: bazel run //src/main/go/net/eagle0/build/manifest_manager:manifest_manager -- unity3d /tmp/unity_manifest.txt
run: bazel run //src/main/go/net/eagle0/build/unity3d_windows_build_handler:unity3d_windows_build_handler -- "/tmp/eagle0/eagle0WIN"
- name: Archive build log
if: success() || failure()
uses: actions/upload-artifact@v4
+2 -2
View File
@@ -20,7 +20,7 @@ project/boot/
project/plugins/project/
project/target/
bazel-bin
bazel-eagle0*
bazel-eagle0
bazel-out
bazel-testlogs
.ijwb
@@ -32,9 +32,9 @@ buildWin.sh
__pycache__/
scripts/refresh_name_layers/vendor/
scripts/refresh_name_layers/refresh_name_layers.zip
.pre-commit-config.yaml
.bazelbsp
.bsp
.metals
api_keys.txt
src/main/csharp/net/eagle0/clients/unity/eagle0/ProjectSettings/Packages/com.unity.dedicated-server/
-44
View File
@@ -1,44 +0,0 @@
# See https://pre-commit.com for more information
# See https://pre-commit.com/hooks.html for more hooks
repos:
- repo: https://github.com/pre-commit/pre-commit-hooks
rev: v4.3.0
hooks:
- id: check-added-large-files
- id: no-commit-to-branch
args: [--branch, main]
- repo: https://github.com/pocc/pre-commit-hooks
rev: v1.3.5
hooks:
- id: clang-format
args: [-i, --no-diff]
types_or: ["c++", "c#"]
exclude: ^src/main/csharp/net/eagle0/clients/unity/eagle0/Assets/Plugins
- repo: https://github.com/yoheimuta/protolint
rev: v0.42.2
hooks:
- id: protolint
args: [-fix]
exclude: ^src/main/protobuf/scalapb/
- repo: local
hooks:
- id: scalafmt
name: scalafmt
language: system
entry: scalafmt -i -f
types_or: ["scala"]
- repo: local
hooks:
- id: gazelle
name: gazelle
language: system
entry: ./scripts/pre-commit-gazelle.sh
files: '(\.go|\.proto|BUILD\.bazel|BUILD|WORKSPACE|WORKSPACE\.bazel|\.bzl)$'
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'
+2 -47
View File
@@ -1,47 +1,2 @@
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
version = "3.6.1"
runner.dialect = scala213
-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
-320
View File
@@ -1,320 +0,0 @@
# CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
## 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.
## 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
**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
## 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)
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
./scripts/build_windows_plugin.sh # Windows-specific plugin build
# Unity builds via CI: ci/github_actions/build_unity.sh
```
### Running Services
```bash
# Eagle server (port 40032)
bazel run //src/main/scala/net/eagle0/eagle:eagle_server -- --eagle-grpc-port 40032
# Or: ./scripts/eagle_run.sh
# Shardok server
bazel run //src/main/cpp/net/eagle0/shardok:shardok-server --compilation_mode=opt
# Or: ./scripts/shardok_run.sh
```
### Testing
```bash
# Run all tests
bazel test //src/test/... //src/main/go/...
# Component-specific tests
bazel test //src/test/scala/... # Scala Eagle tests
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>
# Format all C++ files in a directory:
find . -name "*.cpp" -o -name "*.hpp" | xargs clang-format -i
# Format all C# files in a directory:
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
# 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
```
## 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)
- Real-time bidirectional streaming with server via `PersistentClientConnection.cs`
- Strategic map UI in `Assets/Eagle/`, tactical battle UI in `Assets/Shardok/`
- 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
## Testing Strategy
- Comprehensive unit tests for both Scala and C++ components
- Integration tests for Eagle-Shardok communication
- 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:
```bash
# 1. Commit your changes to a feature branch
git checkout -b performance-improvement-feature
git add . && git commit -m "Implement performance improvement"
# 2. Run performance tests multiple times on your branch to reduce noise
for i in 1 2 3; do
echo "=== Run $i ==="
./scripts/ai_perf_test.sh 2>&1 | grep -A 20 "AI Search Performance Summary"
done
# Save or note the results
# 3. Switch to main branch and run the same tests
git checkout main
for i in 1 2 3; do
echo "=== Run $i ==="
./scripts/ai_perf_test.sh 2>&1 | grep -A 20 "AI Search Performance Summary"
done
# 4. Compare the results between your branch and main
# Key metrics to compare:
# - Commands evaluated at each depth (e.g., "Depth 3: 169/523 commands")
# - Average search depth achieved
# - Completion rates at each depth
```
**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
## Game Content
**Maps:** `.e0mj` files in `/src/main/resources/net/eagle0/shardok/maps/`
**Configuration:** Game parameters in `/src/main/resources/net/eagle0/eagle/game_parameters.json`
**Data Files:** TSV format for battalions, heroes, and other game data
## Deployment
- 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
+110 -206
View File
@@ -1,269 +1,173 @@
module(name = "net_eagle0")
# Version constants
SCALA_VERSION = "3.7.2"
NETTY_VERSION = "4.1.110.Final"
SCALAPB_VERSION = "1.0.0-alpha.1"
AWS_SDK_VERSION = "2.28.1"
bazel_dep(name = "apple_support", repo_name = "build_bazel_apple_support", version = "1.21.1")
#
# Core Build Tools
# bazel-toolchain
#
bazel_dep(name = "bazel_skylib", version = "1.8.1")
bazel_dep(name = "rules_pkg", version = "1.1.0")
#
# Language Support - Scala
#
bazel_dep(name = "rules_scala", version = "7.1.1")
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 = "1.2.0")
# Configure and register the toolchain.
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",
llvm_version = "19.1.0",
)
# 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",
use_repo(llvm, "llvm_toolchain")
# Set dev_dependency so we can turn this off for swift MacOS builds
register_toolchains(
"@llvm_toolchain//:all",
dev_dependency = True,
)
# 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",
# TODO: Update sha256 after running sysroot build workflow with version v2
sha256 = "PLACEHOLDER_RUN_SYSROOT_WORKFLOW_FIRST",
urls = ["https://eagle0.sfo3.digitaloceanspaces.com/sysroot/v2/ubuntu_noble_amd64_sysroot.tar.xz"],
)
#
# 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_pkg", version = "1.0.1")
bazel_dep(name = "bazel_skylib", version = "1.7.1")
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 = "googletest", version = "1.15.2")
bazel_dep(name = "rules_go", repo_name = "io_bazel_rules_go", version = "0.50.1")
bazel_dep(name = "gazelle", repo_name = "bazel_gazelle", version = "0.40.0")
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",
"org_golang_x_text",
"com_github_google_go_cmp",
)
#
# 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")
#go_sdk.nogo(
# nogo = "//:my_nogo",
#)
#
# Protocol Buffers & RPC
# rules_jvm_external
#
bazel_dep(name = "protobuf", version = "29.2", repo_name = "com_google_protobuf")
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")
scala_version = "2.13.14"
#
# Testing
#
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)
oci.pull(
name = "eclipse_temurin_17",
digest = "sha256:d286b5352d98777bbf727f54038b04f0145cd9b76ca83f38a67aa111d4303748",
image = "docker.io/library/eclipse-temurin",
platforms = ["linux/amd64"],
bazel_dep(
name = "rules_jvm_external",
version = "6.3",
)
# 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",
)
use_repo(oci, "eclipse_temurin_17", "eclipse_temurin_17_linux_amd64", "ubuntu_24_04", "ubuntu_24_04_linux_amd64")
#
# Java/Scala Dependencies
#
bazel_dep(name = "rules_jvm_external", version = "6.3")
maven = use_extension("@rules_jvm_external//:extensions.bzl", "maven")
maven.install(
artifacts = [
# Netty
"io.netty:netty-codec:%s" % NETTY_VERSION,
"io.netty:netty-codec-http:%s" % NETTY_VERSION,
"io.netty:netty-codec-socks:%s" % NETTY_VERSION,
"io.netty:netty-codec-http2:%s" % NETTY_VERSION,
"io.netty:netty-handler:%s" % NETTY_VERSION,
"io.netty:netty-buffer:%s" % NETTY_VERSION,
"io.netty:netty-transport:%s" % NETTY_VERSION,
"io.netty:netty-resolver:%s" % NETTY_VERSION,
"io.netty:netty-common:%s" % NETTY_VERSION,
"io.netty:netty-handler-proxy:%s" % NETTY_VERSION,
# ScalaPB
"com.thesamet.scalapb:lenses_3:%s" % SCALAPB_VERSION,
"com.thesamet.scalapb:scalapb-json4s_3:%s" % SCALAPB_VERSION,
"com.thesamet.scalapb:scalapb-runtime_3:%s" % SCALAPB_VERSION,
"com.thesamet.scalapb:scalapb-runtime-grpc_3:%s" % SCALAPB_VERSION,
"com.thesamet.scalapb:compilerplugin_3:%s" % SCALAPB_VERSION,
"com.thesamet.scalapb:protoc-bridge_3:0.9.9",
# JSON
"org.json4s:json4s-ast_3:4.1.0-M8",
"org.json4s:json4s-core_3:4.1.0-M8",
"org.json4s:json4s-native_3:4.1.0-M8",
# Testing
"org.scalamock:scalamock_3:7.4.1",
# AWS SDK
"software.amazon.awssdk:s3-transfer-manager:%s" % AWS_SDK_VERSION,
"software.amazon.awssdk:s3:%s" % AWS_SDK_VERSION,
"software.amazon.awssdk:regions:%s" % AWS_SDK_VERSION,
"software.amazon.awssdk:aws-core:%s" % AWS_SDK_VERSION,
"software.amazon.awssdk:sdk-core:%s" % AWS_SDK_VERSION,
"software.amazon.awssdk:utils:%s" % AWS_SDK_VERSION,
"software.amazon.awssdk:http-client-spi:%s" % AWS_SDK_VERSION,
# AWS Lambda
"com.amazonaws:aws-lambda-java-core:1.2.3",
"com.amazonaws:aws-lambda-java-events:3.13.0",
# Logging
"org.scala-lang:scala-library:%s" % scala_version,
"io.netty:netty-codec:4.1.110.Final",
"io.netty:netty-codec-http:4.1.110.Final",
"io.netty:netty-codec-socks:4.1.110.Final",
"io.netty:netty-codec-http2:4.1.110.Final",
"io.netty:netty-handler:4.1.110.Final",
"io.netty:netty-buffer:4.1.110.Final",
"io.netty:netty-transport:4.1.110.Final",
"io.netty:netty-resolver:4.1.110.Final",
"io.netty:netty-common:4.1.110.Final",
"io.netty:netty-handler-proxy:4.1.110.Final",
"com.thesamet.scalapb:lenses_2.13:1.0.0-alpha.1",
"com.thesamet.scalapb:scalapb-json4s_2.13:1.0.0-alpha.1",
"com.thesamet.scalapb:scalapb-runtime_2.13:1.0.0-alpha.1",
"com.thesamet.scalapb:scalapb-runtime-grpc_2.13:1.0.0-alpha.1",
"com.thesamet.scalapb:compilerplugin_2.13:1.0.0-alpha.1",
"com.thesamet.scalapb:protoc-bridge_2.13:0.9.8",
"org.json4s:json4s-ast_2.13:4.0.7",
"org.json4s:json4s-core_2.13:4.0.7",
"org.json4s:json4s-native_2.13:4.0.7",
"org.scalamock:scalamock_2.13:6.0.0",
"software.amazon.awssdk:s3-transfer-manager:2.28.1",
"software.amazon.awssdk:s3:2.28.1",
"software.amazon.awssdk:regions:2.28.1",
"software.amazon.awssdk:aws-core:2.28.1",
"software.amazon.awssdk:sdk-core:2.28.1",
"org.slf4j:slf4j-api:2.0.16",
"org.slf4j:slf4j-simple:2.0.16",
# Other
#"software.amazon.awssdk:sns:2.28.1",
"software.amazon.awssdk:utils:2.28.1",
"software.amazon.awssdk:http-client-spi:2.28.1",
"org.reactivestreams:reactive-streams:1.0.4",
"com.amazonaws:aws-lambda-java-core:1.2.3",
"com.amazonaws:aws-lambda-java-events:3.13.0",
"javax.xml.bind:jaxb-api:2.3.1",
# OkHttp (for SSE with read timeout support)
"com.squareup.okhttp3:okhttp:4.12.0",
"com.squareup.okhttp3:okhttp-sse:4.12.0",
],
duplicate_version_warning = "error",
fail_if_repin_required = True,
lock_file = "//:maven_install.json",
lock_file = "//:maven_install.json", #
repositories = [
"https://repo1.maven.org/maven2",
],
)
use_repo(maven, "maven", "unpinned_maven")
#
# External Libraries
# rules_apple
#
http_archive = use_repo_rule("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")
# GTL (for parallel_hashmap)
GTL_VERSION = "1.2.0"
GTL_SHA = "1969c45dd76eac0dd87e9e2b65cffe358617f4fe1bcd203f72f427742537913a"
http_archive(
name = "gtl",
build_file = "@//external:BUILD.gtl",
sha256 = GTL_SHA,
strip_prefix = "gtl-%s" % GTL_VERSION,
url = "https://github.com/greg7mdp/gtl/archive/refs/tags/v%s.zip" % GTL_VERSION,
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",
)
# Unity GoDice Plugin
UNITY_GODICE_COMMIT = "18d6823991592e4d45fcc0f22692db849dea9063"
#
# Unbazelified imports
#
http_archive = use_repo_rule("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")
UNITY_GODICE_SHA = "04e6ae4155965aab3372592e04061eba1256bb6ea7ccffd0d83f27574e5b3349"
#
# flatbuffers
#
bazel_dep(name = "flatbuffers", version = "25.2.10")
#
# parallel-hashmap
#
parallel_hashmap_version = "1.4.1"
parallel_hashmap_sha = "aac333eac3627698ca922102fd2a5921df8976906dff6b8e247a49e8cf363911"
http_archive(
name = "parallel_hashmap",
build_file = "@//external:BUILD.parallel_hashmap",
sha256 = parallel_hashmap_sha,
strip_prefix = "parallel-hashmap-%s" % parallel_hashmap_version,
url = "https://github.com/greg7mdp/parallel-hashmap/archive/refs/tags/v%s.zip" % parallel_hashmap_version,
)
#
# Plugins for the native code for interacting with GoDice
#
unity_godice_commit = "18d6823991592e4d45fcc0f22692db849dea9063"
unity_godice_sha = "04e6ae4155965aab3372592e04061eba1256bb6ea7ccffd0d83f27574e5b3349"
http_archive(
name = "net_eagle0_unity_godice",
sha256 = UNITY_GODICE_SHA,
strip_prefix = "godice-framework-%s" % UNITY_GODICE_COMMIT,
sha256 = unity_godice_sha,
strip_prefix = "godice-framework-%s" % unity_godice_commit,
urls = [
"https://github.com/nolen777/godice-framework/archive/%s.zip" % UNITY_GODICE_COMMIT,
"https://github.com/nolen777/godice-framework/archive/%s.zip" % unity_godice_commit,
],
)
#
# Toolchain Registration
#
register_toolchains(
"//tools:unused_dependency_checker_error_and_opts_toolchain",
"@rules_scala//testing:scalatest_toolchain",
)
# 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,
)
+113 -3820
View File
File diff suppressed because it is too large Load Diff
+51 -2
View File
@@ -1,2 +1,51 @@
# This file marks the root of the Bazel workspace.
# See MODULE.bazel for external dependencies and setup.
workspace(name = "net_eagle0")
load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")
#
# Scala support
#
scala_version = "2.13.14"
#rules_scala_version = "6.6.0"
#rules_scala_sha = "e734eef95cf26c0171566bdc24d83bd82bdaf8ca7873bec6ce9b0d524bdaf05d"
#http_archive(
# name = "io_bazel_rules_scala",
# sha256 = rules_scala_sha,
# strip_prefix = "rules_scala-%s" % rules_scala_version,
# url = "https://github.com/bazelbuild/rules_scala/releases/download/v%s/rules_scala-v%s.tar.gz" % (rules_scala_version, rules_scala_version),
#)
# Using a commit from master to get 2.13.14 support. Restore the commented-out lines above with a new
# release version when one is cut.
rules_scala_commit = "e53a43bf48f10a5906b3e91c21798281cec1b334"
rules_scala_sha = "b4fd903724d084d9d9f45e17fc22391bda745bf0574f8934d38a9c1c2fc18834"
http_archive(
name = "io_bazel_rules_scala",
sha256 = rules_scala_sha,
strip_prefix = "rules_scala-%s" % rules_scala_commit,
url = "https://github.com/bazelbuild/rules_scala/archive/%s.zip" % rules_scala_commit,
)
load("@io_bazel_rules_scala//:scala_config.bzl", "scala_config")
scala_config(scala_version = scala_version)
load("//tools:toolchains.bzl", "scala_register_toolchains")
scala_register_toolchains()
load("@io_bazel_rules_scala//scala:scala.bzl", "scala_repositories")
scala_repositories()
load("@io_bazel_rules_scala//testing:scalatest.bzl", "scalatest_repositories", "scalatest_toolchain")
scalatest_repositories()
scalatest_toolchain()
-128
View File
@@ -1,128 +0,0 @@
load("@rules_oci//oci:defs.bzl", "oci_image", "oci_load", "oci_push")
load("@rules_pkg//pkg:tar.bzl", "pkg_tar")
#
# 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",
"-Xmx4g",
"-XX:+UseG1GC",
"-jar",
"/app/eagle_server_deploy.jar",
],
env = {
"JAVA_OPTS": "-Xmx4g -XX:+UseG1GC",
},
exposed_ports = ["40032/tcp"],
tars = [
":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
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 = [
":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
oci_push(
name = "shardok_server_push",
image = ":shardok_server_image",
repository = "registry.digitalocean.com/eagle0/shardok-server",
)
+2 -1
View File
@@ -1 +1,2 @@
UNITY_VERSION='6000.3.0f1'
UNITY_VERSION='6000.0.32f1'
-47
View File
@@ -1,47 +0,0 @@
# Docker Compose for local testing of production images
# Build images: bazel run //ci:eagle_server_load && bazel run //ci:shardok_server_load
# Run: docker compose -f docker-compose.prod.yml up
services:
eagle:
image: eagle0/eagle-server:latest
container_name: eagle-server
ports:
- "40032:40032"
environment:
# Eagle server configuration
EAGLE_GRPC_PORT: "40032"
SHARDOK_HOST: "shardok"
SHARDOK_PORT: "40042"
# Resource paths (relative to /app in container)
EAGLE_RESOURCES_PATH: "/app/resources"
volumes:
# Mount saves directory for persistence
- ./saves:/app/saves
depends_on:
- shardok
restart: unless-stopped
healthcheck:
test: ["CMD", "nc", "-z", "localhost", "40032"]
interval: 30s
timeout: 10s
retries: 3
start_period: 30s
shardok:
image: eagle0/shardok-server:latest
container_name: shardok-server
ports:
- "40042:40042"
- "40052:40052"
environment:
# Shardok server configuration
SHARDOK_RESOURCES_PATH: "/app/resources"
SHARDOK_MAPS_PATH: "/app/resources/maps"
restart: unless-stopped
healthcheck:
test: ["CMD", "nc", "-z", "localhost", "40042"]
interval: 30s
timeout: 10s
retries: 3
start_period: 10s
-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
-334
View File
@@ -1,334 +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: 46 of 52 action files (88%) are fully protoless.**
The following 6 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 |
| `NewRoundAction` | 1 | `ChronicleEventGenerator` returns proto | Medium |
**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) |
| `ChronicleEventGenerator` to Scala | ~400 | Medium | 1 action |
| History API updates | ~100 | Low | - |
| **Total Remaining** | **~3000** | | |
### Progress Summary
| Metric | Value |
|--------|-------|
| Action files fully protoless | 46 / 52 (88%) |
| Proto usages in remaining actions | 33 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
-940
View File
@@ -1,940 +0,0 @@
# Eagle0 Productionization Plan
## Executive Summary
This document outlines a plan to move Eagle0's Eagle and Shardok servers from a home Mac to cloud infrastructure while maintaining a QA environment on the Mac. The architecture uses DigitalOcean (already integrated via Spaces) with containerized deployments and GitHub Actions CI/CD.
## Current Architecture
```
Unity Client
│ gRPC/TLS (eagle0.net:443)
nginx (home Mac, via router port forward)
├─► Eagle Server (Scala/JVM, port 40032)
│ │
│ │ internal gRPC (port 40042)
│ ▼
└─► Shardok Server (C++, port 40042/40052)
Storage: DigitalOcean Spaces (sfo3.digitaloceanspaces.com)
DNS: eagle0.net → home IP
```
**Key observations:**
- Already using DigitalOcean Spaces for S3-compatible storage
- Eagle server is a deployable JAR (`eagle_server_deploy.jar`)
- Shardok server is a native C++ binary
- nginx handles TLS termination and gRPC routing
- Self-hosted GitHub Actions runner on Mac
---
## Target Architecture
### Production Environment (DigitalOcean)
```
Unity Client
├─► eagle0.net (Production)
│ │
│ ▼
│ DigitalOcean Load Balancer (TLS termination)
│ │
│ ▼
│ ┌─────────────────────────────────────┐
│ │ DigitalOcean Droplet(s) │
│ │ ┌─────────────┬─────────────────┐ │
│ │ │ Eagle │ Shardok │ │
│ │ │ (Docker) │ (Docker) │ │
│ │ │ :40032 │ :40042 │ │
│ │ └─────────────┴─────────────────┘ │
│ └─────────────────────────────────────┘
└─► qa.eagle0.net (QA - home Mac, unchanged)
nginx → Eagle/Shardok (current setup)
```
### Environment Switching
The Unity client already supports configurable server URLs via the connection screen:
- **Production:** `eagle0.net` (default)
- **QA:** `qa.eagle0.net`
No client code changes needed - users can simply type the desired URL.
---
## Cloud Provider: DigitalOcean
### Why DigitalOcean
1. **Already integrated** - S3 Spaces storage at `sfo3.digitaloceanspaces.com` with credentials configured
2. **Simple pricing** - Predictable monthly costs, no surprise bills
3. **Good performance** - SFO3 datacenter is geographically close
4. **Managed services** - Load balancers, managed databases if needed later
5. **Not AWS/GCP** - Per your requirements
### Alternative Considered: Hetzner
- Cheaper for compute ($3.29/mo for 2 vCPU/4GB vs DO's $24/mo)
- Good EU presence but less US coverage
- No managed load balancer (need to run HAProxy/nginx yourself)
- **Recommendation:** Start with DigitalOcean for simplicity; migrate to Hetzner later if cost becomes a concern
---
## Infrastructure Components
### 1. Compute: DigitalOcean Droplets
#### Resource Characteristics
- **Eagle server:** CPU-light, possibly RAM-heavy (JVM). Should be always available.
- **Shardok server:** Very CPU-heavy (AI algorithms). Only needed during tactical battles. Startup time <1 second.
#### Recommended: On-Demand Shardok (Same Droplet)
For current low player count, optimize for cost while maintaining availability:
| Component | Config | Monthly Cost |
|-----------|--------|--------------|
| Droplet | s-2vcpu-4gb | $24/mo |
| Eagle | Always running | - |
| Shardok | Started on-demand by Eagle, stopped after idle | - |
**How it works:**
1. Eagle server runs 24/7 - game is always available
2. When battle starts, Eagle launches Shardok container/process (<1s startup)
3. After battle ends, idle timer starts (e.g., 5 minutes)
4. On timeout, Eagle stops Shardok to free CPU
5. If new battle starts during idle period, Shardok is already warm
**Shardok lifecycle management** (implement in Eagle):
```scala
// Pseudocode for Eagle's Shardok management
object ShardokManager {
private var process: Option[Process] = None
private var idleTimer: Option[Timer] = None
def ensureRunning(): Unit = {
cancelIdleTimer()
if (process.isEmpty) {
process = Some(startShardokProcess())
waitForHealthCheck()
}
}
def onBattleEnd(): Unit = {
idleTimer = Some(scheduleShutdown(5.minutes))
}
private def shutdown(): Unit = {
process.foreach(_.destroy())
process = None
}
}
```
#### Future Scaling Options
As player count grows and Shardok needs more CPU:
**Option A: Upgrade Droplet (Simplest)**
| Droplet | vCPU | RAM | Cost | Use Case |
|---------|------|-----|------|----------|
| s-2vcpu-4gb | 2 shared | 4 GB | $24/mo | Current (few players) |
| s-4vcpu-8gb | 4 shared | 8 GB | $48/mo | Moderate usage |
| c-4 | 4 dedicated | 8 GB | $84/mo | CPU-intensive battles |
| c-8 | 8 dedicated | 16 GB | $168/mo | Multiple concurrent battles |
**Option B: Separate Shardok Droplet (API-driven)**
For heavy Shardok usage with cost optimization:
- **Eagle droplet:** s-1vcpu-2gb ($12/mo) - always on
- **Shardok droplet:** Created on-demand via DigitalOcean API
- c-4 CPU-optimized: $0.125/hour
- c-8 CPU-optimized: $0.25/hour
- Created when battle starts, destroyed after idle
- 30-60s droplet creation time (acceptable if battles are requested in advance)
**Option C: Fly.io for Shardok (Scale-to-Zero)**
For true pay-per-use with fast cold starts:
- **Eagle:** DigitalOcean or Fly.io (~$10/mo)
- **Shardok:** Fly.io with auto-scaling
- Performance VMs: ~$0.0000022/second when running
- Cold start: 2-5 seconds
- Scales to zero when idle
Requires learning Fly.io but offers best cost efficiency for sporadic usage.
**Option D: Multiple Shardok Instances (High Scale)**
For many concurrent battles:
- **Eagle:** Dedicated droplet with more RAM
- **Shardok pool:** Multiple Shardok containers/droplets
- Eagle routes battles to available Shardok instances
- Could use Kubernetes or Docker Swarm for orchestration
This is overkill for now but documented for future reference.
### 2. Load Balancer
**DigitalOcean Load Balancer:** $12/mo
- TLS termination with Let's Encrypt
- Health checks
- Sticky sessions (if needed)
- Can add more droplets later for HA
**Alternative:** Run nginx on the droplet for $0 extra, but lose automatic failover.
### 3. Storage
**Already configured:** DigitalOcean Spaces
- Bucket: `eagle0`
- Region: `sfo3`
- Used for game saves and assets
- Cost: $5/mo base + $0.02/GB storage + $0.01/GB transfer
### 4. DNS
**Option A: DigitalOcean DNS (Recommended)**
- Free with droplets
- Easy integration
- API for automated updates
**Option B: Keep current DNS provider**
- Update A records manually or via script
**DNS Records:**
```
eagle0.net A <DO Load Balancer IP>
qa.eagle0.net A <Home IP> (unchanged)
*.eagle0.net A <DO Load Balancer IP> (wildcard for future)
```
### 5. Firewall
**DigitalOcean Cloud Firewall:** Free
```
Inbound Rules:
- TCP 443 (HTTPS/gRPC) from anywhere → Load Balancer
- TCP 22 (SSH) from your IP only → Droplets
- TCP 40032 (Eagle) from Load Balancer only
- TCP 40042 (Shardok) from Load Balancer only
Outbound Rules:
- All traffic allowed (for external APIs, Spaces, etc.)
```
---
## Container Strategy
### Dockerfiles
**Eagle Server** (`ci/eagle_run.Dockerfile` - already exists, needs enhancement):
```dockerfile
FROM eclipse-temurin:17-jre-alpine
# Add non-root user
RUN addgroup -S eagle && adduser -S eagle -G eagle
WORKDIR /app
# Copy the deploy JAR
COPY --chown=eagle:eagle deploy/eagle_server_deploy.jar ./
# Copy game resources
COPY --chown=eagle:eagle src/main/resources/net/eagle0/eagle/ ./resources/
USER eagle
# Health check
HEALTHCHECK --interval=30s --timeout=10s --retries=3 \
CMD wget -q --spider http://localhost:40032/health || exit 1
EXPOSE 40032
ENTRYPOINT ["java", "-Xmx4g", "-jar", "eagle_server_deploy.jar"]
CMD ["--eagle-grpc-port", "40032", "--shardok-interface-remote-address", "shardok:40042", "--gpt-model-name", "gpt-4"]
```
**Shardok Server** (new: `ci/shardok_run.Dockerfile`):
```dockerfile
FROM ubuntu:22.04
# Install runtime dependencies
RUN apt-get update && apt-get install -y \
libstdc++6 \
ca-certificates \
&& rm -rf /var/lib/apt/lists/*
# Add non-root user
RUN useradd -r -s /bin/false shardok
WORKDIR /app
# Copy the Shardok binary and dependencies
COPY --chown=shardok:shardok bazel-bin/src/main/cpp/net/eagle0/shardok/shardok-server ./
COPY --chown=shardok:shardok src/main/resources/net/eagle0/shardok/maps/ ./maps/
USER shardok
# Health check (need to implement gRPC health endpoint)
HEALTHCHECK --interval=30s --timeout=10s --retries=3 \
CMD ./shardok-server --health-check || exit 1
EXPOSE 40042 40052
ENTRYPOINT ["./shardok-server"]
```
**Docker Compose** (new: `docker-compose.prod.yml`):
```yaml
version: '3.8'
services:
eagle:
build:
context: .
dockerfile: ci/eagle_run.Dockerfile
image: eagle0/eagle-server:${VERSION:-latest}
ports:
- "40032:40032"
environment:
- SHARDOK_ADDRESS=shardok:40042
- GPT_MODEL_NAME=${GPT_MODEL_NAME:-gpt-4}
- JAVA_OPTS=-Xmx4g -XX:+UseG1GC
depends_on:
- shardok
restart: unless-stopped
logging:
driver: "json-file"
options:
max-size: "100m"
max-file: "5"
shardok:
build:
context: .
dockerfile: ci/shardok_run.Dockerfile
image: eagle0/shardok-server:${VERSION:-latest}
ports:
- "40042:40042"
- "40052:40052"
restart: unless-stopped
logging:
driver: "json-file"
options:
max-size: "100m"
max-file: "5"
```
---
## Build Pipeline
### Build Artifacts
The build process produces:
1. **Eagle JAR:** `bazel-bin/src/main/scala/net/eagle0/eagle/eagle_server_deploy.jar`
2. **Shardok binary:** `bazel-bin/src/main/cpp/net/eagle0/shardok/shardok-server`
### Cross-Compilation for Linux
Current builds target macOS (self-hosted runner). For production Linux deployment:
**Option A: Build in Docker (Recommended)**
```bash
# Build Eagle (JVM - platform independent)
bazel build //src/main/scala/net/eagle0/eagle:eagle_server_deploy.jar
# Build Shardok in Linux container
docker run --rm -v $(pwd):/workspace -w /workspace \
ubuntu:22.04 \
bash -c "apt-get update && apt-get install -y build-essential && bazel build -c opt //src/main/cpp/net/eagle0/shardok:shardok-server"
```
**Option B: Use GitHub-hosted Linux runner**
- Add `runs-on: ubuntu-latest` workflow
- Builds directly on Linux
- May need to cache Bazel to avoid long build times
**Option C: Cross-compile on Mac**
- Configure Bazel for Linux cross-compilation
- More complex setup but faster iteration
**Recommendation:** Option A (Docker build) for Shardok, since Eagle's JAR is platform-independent.
---
## CI/CD Pipeline
### GitHub Actions Workflows
**New workflow:** `.github/workflows/deploy_production.yml`
```yaml
name: Deploy to Production
on:
push:
branches: [main]
paths:
- 'src/main/scala/**'
- 'src/main/cpp/**'
- 'src/main/protobuf/**'
- 'ci/*.Dockerfile'
- 'docker-compose.prod.yml'
workflow_dispatch:
inputs:
environment:
description: 'Deployment environment'
required: true
default: 'production'
type: choice
options:
- production
- staging
env:
REGISTRY: registry.digitalocean.com
EAGLE_IMAGE: eagle0/eagle-server
SHARDOK_IMAGE: eagle0/shardok-server
jobs:
build-eagle:
runs-on: self-hosted
outputs:
version: ${{ steps.version.outputs.version }}
steps:
- uses: actions/checkout@v4
with:
lfs: false
- name: Set version
id: version
run: echo "version=$(git rev-parse --short HEAD)" >> $GITHUB_OUTPUT
- name: Build Eagle server JAR
run: bazel build //src/main/scala/net/eagle0/eagle:eagle_server_deploy.jar
- name: Copy artifacts
run: |
mkdir -p deploy
cp bazel-bin/src/main/scala/net/eagle0/eagle/eagle_server_deploy.jar deploy/
- name: Build Docker image
run: |
docker build -f ci/eagle_run.Dockerfile -t ${{ env.REGISTRY }}/${{ env.EAGLE_IMAGE }}:${{ steps.version.outputs.version }} .
docker tag ${{ env.REGISTRY }}/${{ env.EAGLE_IMAGE }}:${{ steps.version.outputs.version }} ${{ env.REGISTRY }}/${{ env.EAGLE_IMAGE }}:latest
- name: Push to registry
run: |
echo "${{ secrets.DO_REGISTRY_TOKEN }}" | docker login ${{ env.REGISTRY }} -u ${{ secrets.DO_REGISTRY_TOKEN }} --password-stdin
docker push ${{ env.REGISTRY }}/${{ env.EAGLE_IMAGE }}:${{ steps.version.outputs.version }}
docker push ${{ env.REGISTRY }}/${{ env.EAGLE_IMAGE }}:latest
build-shardok:
runs-on: ubuntu-latest
needs: []
steps:
- uses: actions/checkout@v4
with:
lfs: false
- name: Set version
id: version
run: echo "version=$(git rev-parse --short HEAD)" >> $GITHUB_OUTPUT
- name: Set up Bazel
uses: bazelbuild/setup-bazelisk@v2
- name: Cache Bazel
uses: actions/cache@v3
with:
path: ~/.cache/bazel
key: bazel-linux-${{ hashFiles('MODULE.bazel', 'WORKSPACE') }}
- name: Build Shardok server
run: bazel build -c opt //src/main/cpp/net/eagle0/shardok:shardok-server
- name: Build Docker image
run: |
mkdir -p bazel-bin/src/main/cpp/net/eagle0/shardok/
cp bazel-bin/src/main/cpp/net/eagle0/shardok/shardok-server bazel-bin/src/main/cpp/net/eagle0/shardok/
docker build -f ci/shardok_run.Dockerfile -t ${{ env.REGISTRY }}/${{ env.SHARDOK_IMAGE }}:${{ steps.version.outputs.version }} .
docker tag ${{ env.REGISTRY }}/${{ env.SHARDOK_IMAGE }}:${{ steps.version.outputs.version }} ${{ env.REGISTRY }}/${{ env.SHARDOK_IMAGE }}:latest
- name: Push to registry
run: |
echo "${{ secrets.DO_REGISTRY_TOKEN }}" | docker login ${{ env.REGISTRY }} -u ${{ secrets.DO_REGISTRY_TOKEN }} --password-stdin
docker push ${{ env.REGISTRY }}/${{ env.SHARDOK_IMAGE }}:${{ steps.version.outputs.version }}
docker push ${{ env.REGISTRY }}/${{ env.SHARDOK_IMAGE }}:latest
deploy:
runs-on: ubuntu-latest
needs: [build-eagle, build-shardok]
environment: production
steps:
- uses: actions/checkout@v4
- name: Deploy to DigitalOcean
uses: appleboy/ssh-action@v1.0.0
with:
host: ${{ secrets.DO_DROPLET_IP }}
username: deploy
key: ${{ secrets.DO_SSH_KEY }}
script: |
cd /opt/eagle0
# Pull latest images
docker-compose -f docker-compose.prod.yml pull
# Rolling restart (zero-downtime if load balancer configured)
docker-compose -f docker-compose.prod.yml up -d --remove-orphans
# Wait for health checks
sleep 30
docker-compose -f docker-compose.prod.yml ps
# Cleanup old images
docker image prune -f
- name: Verify deployment
run: |
# Health check endpoint
curl -f https://eagle0.net/health || exit 1
- name: Notify on failure
if: failure()
run: |
# Add Slack/Discord notification here
echo "Deployment failed!"
```
### Deployment Steps
1. **On push to main:**
- Build Eagle JAR (self-hosted Mac runner - for consistency)
- Build Shardok binary (GitHub-hosted Ubuntu runner)
- Build Docker images
- Push to DigitalOcean Container Registry
2. **Deploy to droplet:**
- SSH to production server
- Pull new images
- `docker-compose up -d` (rolling update)
- Verify health checks
3. **Rollback:**
```bash
# On server
docker-compose -f docker-compose.prod.yml down
docker-compose -f docker-compose.prod.yml pull eagle0/eagle-server:<previous-version>
docker-compose -f docker-compose.prod.yml up -d
```
---
## Server Setup
### Initial Droplet Setup
```bash
#!/bin/bash
# Run on fresh DigitalOcean droplet (Ubuntu 22.04)
# Update system
apt-get update && apt-get upgrade -y
# Install Docker
curl -fsSL https://get.docker.com | sh
systemctl enable docker
systemctl start docker
# Install Docker Compose
apt-get install -y docker-compose-plugin
# Create deploy user
useradd -m -s /bin/bash -G docker deploy
mkdir -p /home/deploy/.ssh
# Add your SSH public key to /home/deploy/.ssh/authorized_keys
# Create app directory
mkdir -p /opt/eagle0
chown deploy:deploy /opt/eagle0
# Configure Docker to use DigitalOcean Container Registry
docker login registry.digitalocean.com
# Create systemd service for auto-start
cat > /etc/systemd/system/eagle0.service << 'EOF'
[Unit]
Description=Eagle0 Game Servers
Requires=docker.service
After=docker.service
[Service]
Type=oneshot
RemainAfterExit=yes
WorkingDirectory=/opt/eagle0
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
Group=deploy
[Install]
WantedBy=multi-user.target
EOF
systemctl enable eagle0
```
### Load Balancer Configuration
**DigitalOcean Load Balancer settings:**
- **Forwarding Rules:**
- HTTPS 443 → HTTP 40032 (Eagle)
- gRPC is HTTP/2, handled automatically
- **Health Checks:**
- Protocol: HTTP
- Port: 40032
- Path: `/health` (need to implement)
- **SSL:**
- Let's Encrypt certificate for `eagle0.net`
- **Settings:**
- Sticky sessions: Disabled (gRPC streams handle this)
- Proxy protocol: Disabled
### nginx on Droplet (Alternative to LB)
If using nginx instead of managed LB:
```nginx
# /etc/nginx/sites-available/eagle0
upstream eagle_backend {
server 127.0.0.1:40032;
keepalive 100;
}
server {
listen 443 ssl http2;
server_name eagle0.net;
ssl_certificate /etc/letsencrypt/live/eagle0.net/fullchain.pem;
ssl_certificate_key /etc/letsencrypt/live/eagle0.net/privkey.pem;
# gRPC settings
location /net.eagle0.eagle.api.Eagle {
grpc_pass grpc://eagle_backend;
grpc_read_timeout 1200s;
grpc_send_timeout 1200s;
grpc_socket_keepalive on;
# Rate limiting
limit_req zone=eagle burst=50 nodelay;
}
# Health check endpoint
location /health {
proxy_pass http://127.0.0.1:40032/health;
}
}
# Rate limit zone
limit_req_zone $binary_remote_addr zone=eagle:10m rate=100r/s;
```
---
## Environment Configuration
### Secrets Management
**GitHub Secrets (for CI/CD):**
- `DO_REGISTRY_TOKEN` - DigitalOcean Container Registry token
- `DO_DROPLET_IP` - Production server IP
- `DO_SSH_KEY` - SSH private key for deployment
- `OPENAI_API_KEY` - For LLM integration (if used in production)
- `DO_SPACES_KEY` - Already exists for S3
**On Server (environment variables):**
```bash
# /opt/eagle0/.env
GPT_MODEL_NAME=gpt-4
OPENAI_API_KEY=sk-...
DO_SPACES_KEY=...
DO_SPACES_SECRET=...
JAVA_OPTS=-Xmx4g -XX:+UseG1GC -XX:MaxGCPauseMillis=200
```
### Configuration Files
**Production config** (`/opt/eagle0/config/eagle0.conf`):
```
monteCarloIterations = 150000
monteCarloThreads = 4
grpcAddress = 0.0.0.0:40042
```
---
## Monitoring & Observability
### Logging
**Docker logging driver:** json-file with rotation
- Logs stored in `/var/lib/docker/containers/<id>/`
- Max 5 files of 100MB each
**Log aggregation options:**
1. **DigitalOcean Logs** - $0 for basic, integrates with Droplets
2. **Papertrail** - $7/mo for 1GB, good search
3. **Self-hosted Loki** - Free, more complex
### Metrics
**Prometheus + Grafana** (optional, for advanced monitoring):
```yaml
# Add to docker-compose.prod.yml
prometheus:
image: prom/prometheus
volumes:
- ./prometheus.yml:/etc/prometheus/prometheus.yml
ports:
- "9090:9090"
grafana:
image: grafana/grafana
ports:
- "3000:3000"
environment:
- GF_SECURITY_ADMIN_PASSWORD=${GRAFANA_PASSWORD}
```
**Key metrics to track:**
- Connection count
- Request latency (p50, p95, p99)
- Error rate
- CPU/memory usage
- Shardok AI search depth/time
### Alerting
**DigitalOcean Monitoring Alerts:**
- CPU > 80% for 5 minutes
- Memory > 90%
- Disk > 85%
- Droplet unreachable
**Uptime monitoring:**
- Use UptimeRobot (free tier) or Better Uptime
- Check `https://eagle0.net/health` every minute
---
## Cost Estimate
### Recommended Starting Configuration
| Component | Monthly Cost | Notes |
|-----------|-------------|-------|
| Droplet (s-2vcpu-4gb) | $24 | Eagle always-on, Shardok on-demand |
| Spaces | ~$5 | Already paying |
| Container Registry | $5 | For Docker images |
| DNS | $0 | Included |
| Bandwidth | ~$0 | 1TB free, then $0.01/GB |
| **Total** | **~$34/mo** | |
### Optional Add-ons
| Component | Monthly Cost | Notes |
|-----------|-------------|-------|
| Load Balancer | +$12 | Only if need HA/failover |
| Monitoring (Papertrail) | +$7 | Better log search |
### Scaling Costs
| Scenario | Droplet | Monthly Cost |
|----------|---------|--------------|
| Current (few players) | s-2vcpu-4gb | $24 |
| Growing usage | s-4vcpu-8gb | $48 |
| CPU-intensive battles | c-4 (dedicated) | $84 |
| High concurrency | c-8 (dedicated) | $168 |
| Separate Shardok (on-demand) | s-1vcpu-2gb + c-4 hourly | $12 + usage |
---
## Migration Plan
### Phase 1: Infrastructure Setup (Day 1)
1. Create DigitalOcean resources:
- Droplet in SFO3 region
- Container Registry
- (Optional) Load Balancer
2. Configure DNS:
- Point `eagle0.net` to new infrastructure
- Keep `qa.eagle0.net` pointing to home IP
3. Set up server:
- Run initial setup script
- Configure Docker and docker-compose
- Test SSH access
### Phase 2: Build Pipeline (Day 2)
1. Create Dockerfiles:
- Enhance `ci/eagle_run.Dockerfile`
- Create `ci/shardok_run.Dockerfile`
2. Create `docker-compose.prod.yml`
3. Set up GitHub Actions:
- Add deployment workflow
- Configure secrets
- Test build pipeline
### Phase 3: Deployment (Day 3)
1. Deploy to production:
- Push first images
- Start containers
- Verify health checks
2. Configure TLS:
- Set up Let's Encrypt
- Update nginx/LB configuration
3. Update DNS:
- Switch `eagle0.net` to production
- Verify client can connect
### Phase 4: Validation (Day 4)
1. Test gameplay:
- Connect from Unity client
- Play through Eagle gameplay
- Test Shardok combat
2. Monitor:
- Check logs for errors
- Verify resource usage
- Test reconnection behavior
3. Document:
- Update runbooks
- Document rollback procedures
### Phase 5: QA Environment (Day 5)
1. Configure `qa.eagle0.net`:
- Keep pointing to home Mac
- Ensure nginx routes correctly
2. Test environment switching:
- Connect to production
- Switch to QA
- Verify different game states
---
## Rollback Procedure
### Quick Rollback (< 5 minutes)
```bash
# SSH to production server
ssh deploy@<droplet-ip>
# Roll back to previous version
cd /opt/eagle0
docker-compose -f docker-compose.prod.yml down
docker pull registry.digitalocean.com/eagle0/eagle-server:<previous-tag>
docker pull registry.digitalocean.com/eagle0/shardok-server:<previous-tag>
VERSION=<previous-tag> docker-compose -f docker-compose.prod.yml up -d
```
### Full Rollback to Home Mac
1. Update DNS: Point `eagle0.net` back to home IP
2. Ensure home Mac servers are running
3. Wait for DNS propagation (5-30 minutes)
---
## Security Checklist
- [ ] SSH key authentication only (disable password)
- [ ] Firewall configured (only 443, 22 from trusted IPs)
- [ ] TLS 1.3 enforced
- [ ] Secrets in environment variables, not in code
- [ ] Container runs as non-root user
- [ ] Rate limiting on gRPC endpoints
- [ ] Regular security updates (`unattended-upgrades`)
- [ ] Remove Shardok internal interface from public nginx (per CONNECTION_ARCHITECTURE.md)
---
## Resolved Questions
1. **Game state migration:** No migration needed. Saves are currently local only. The codebase has a `Persister` pattern (with existing AWS support) that could be adapted to save to DO Spaces in the future.
2. **LLM API keys:** Yes, OpenAI API keys are needed on the Eagle server. Add `OPENAI_API_KEY` to the `.env` file on the production droplet.
3. **Multiple regions:** Not needed for now. Single SFO3 region is sufficient.
## Remaining Open Questions
1. **Backup strategy:** Should we add automated backups for local persistence, or migrate to DO Spaces persistence first?
2. **Autoscaling:** Is traffic predictable enough to use fixed instance, or need autoscaling later?
---
## Next Steps
### Phase 1: Infrastructure
1. **Approve this plan** - Review and discuss any changes
2. **Create DigitalOcean resources** - Droplet (s-2vcpu-4gb), Container Registry
3. **Set up droplet** - Docker, deploy user, firewall, nginx with TLS
### Phase 2: Containerization
4. **Implement Dockerfiles** - Eagle and Shardok containers
5. **Implement Shardok lifecycle management** - Eagle starts/stops Shardok on-demand
- Add `ShardokProcessManager` to Eagle server
- Start Shardok when battle requested
- Stop after idle timeout (5 min)
- Health check before routing traffic
### Phase 3: CI/CD
6. **Set up GitHub Actions** - Build and push Docker images
7. **Add deployment workflow** - SSH deploy to droplet
### Phase 4: Migration
8. **Deploy to production** - Push images, start services
9. **Update DNS** - Point eagle0.net to droplet
10. **Validate** - Test gameplay, monitor logs
11. **Configure QA** - Ensure qa.eagle0.net still works (home Mac)
-205
View File
@@ -1,205 +0,0 @@
# Scala 3 Modernization Guide
## Overview
This document outlines opportunities to modernize the Eagle0 codebase to use Scala 3 best practices and features. The migration to Scala 3 is complete, but the code still uses many Scala 2 patterns that can be improved.
## Modernization Opportunities
### 1. **Convert Sealed Traits to Enums** 🎯 HIGH IMPACT
**Benefits**: Better performance, more concise syntax, improved exhaustiveness checking
**Current pattern** (`ExternalTextGenerationCaller.scala:23-31`):
```scala
sealed trait ExternalTextGenerationError extends Error {
def message: String
}
case class ExternalTextGenerationRateLimitError(code: Int, message: String)
extends ExternalTextGenerationError
case class ExternalTextGenerationHttpError(code: Int, message: String)
extends ExternalTextGenerationError
case class ExternalTextGenerationTimeoutError(message: String)
extends ExternalTextGenerationError
```
**Scala 3 improvement**:
```scala
enum ExternalTextGenerationError extends Error:
case RateLimit(code: Int, message: String)
case Http(code: Int, message: String)
case Timeout(message: String)
def message: String = this match
case RateLimit(_, msg) => msg
case Http(_, msg) => msg
case Timeout(msg) => msg
```
**Files to check**:
- `/src/main/scala/net/eagle0/common/llm_integration/ExternalTextGenerationCaller.scala`
- `/src/main/scala/net/eagle0/eagle/model/action_result/generated_text_request/GeneratedTextRequestT.scala`
- `/src/main/scala/net/eagle0/eagle/model/state/quest/concrete/QuestC.scala`
### 2. **Convert Implicit Classes to Extension Methods** 🎯 HIGH IMPACT
**Benefits**: Modern syntax, better IDE support, cleaner imports
**Current pattern** (`MoreSeq.scala:23-26`):
```scala
implicit def SeqCollect[A, Repr[_]](coll: Repr[A])(implicit
itr: IsIterable[Repr[A]]
): SeqCollect[A, Repr, itr.type] =
new SeqCollect[A, Repr, itr.type](coll, itr)
```
**Scala 3 improvement**:
```scala
extension [A, Repr[_]](coll: Repr[A])(using itr: IsIterable[Repr[A]])
def flatCollect[B](pf: PartialFunction[itr.A, Option[B]])(using Factory[B, Repr[B]]): Repr[B] =
Factory[B, Repr[B]].fromSpecific(itr(coll).collect(pf).flatten)
def flatCollectFirst[B](pf: PartialFunction[itr.A, Option[B]]): Option[B] =
itr(coll).collect(pf).flatten.headOption
```
**Files to check**:
- `/src/main/scala/net/eagle0/common/MoreSeq.scala`
- `/src/main/scala/net/eagle0/eagle/library/util/command_choice_helpers/CommandChooser.scala`
- `/src/main/scala/net/eagle0/eagle/service/new_game_creation/NewGameCreation.scala`
- `/src/main/scala/net/eagle0/eagle/library/actions/applier/ActionResultProtoApplierImpl.scala`
- `/src/main/scala/net/eagle0/eagle/service/new_game_creation/StartGameActionResultUtils.scala`
- `/src/main/scala/net/eagle0/eagle/model/state/date/Date.scala`
### 3. **Convert Implicit Parameters to Using Clauses** 🎯 MEDIUM IMPACT
**Benefits**: Cleaner syntax, better tooling support, clearer intent
**Current pattern**:
```scala
def method[T](value: T)(implicit ec: ExecutionContext): Future[T]
def process[A](items: Seq[A])(implicit ord: Ordering[A]): Seq[A]
```
**Scala 3 improvement**:
```scala
def method[T](value: T)(using ExecutionContext): Future[T]
def process[A](items: Seq[A])(using Ordering[A]): Seq[A]
```
**Files to check**:
- `/src/main/scala/net/eagle0/common/MoreSeq.scala`
- `/src/main/scala/net/eagle0/eagle/library/util/hero_name_fetcher/HeroNameFetcher.scala`
- `/src/main/scala/net/eagle0/eagle/library/util/ShardokMapInfo.scala`
- `/src/main/scala/net/eagle0/common/llm_integration/OpenAIChatCompletionsServiceImpl.scala`
- `/src/main/scala/net/eagle0/common/llm_integration/ClaudeServiceImpl.scala`
### 4. **Opaque Types for Type Safety** 🎯 MEDIUM IMPACT
**Benefits**: Zero runtime cost, compile-time type safety, prevents mixing up similar types
**Pattern to look for**: Type aliases that represent distinct concepts
```scala
// Instead of: type UserId = String, type GameId = String
opaque type UserId = String
object UserId:
def apply(s: String): UserId = s
extension (id: UserId)
def value: String = id
def isValid: Boolean = id.nonEmpty && id.length > 3
opaque type GameId = Long
object GameId:
def apply(l: Long): GameId = l
extension (id: GameId) def value: Long = id
```
**Candidates**: Look for simple type aliases and ID types throughout the codebase.
### 5. **Inline Methods for Performance** 🎯 LOW IMPACT
**Benefits**: Compile-time optimization, better performance for hot paths
**Pattern**: Mark small, frequently-called methods as `inline`
```scala
inline def isValidId(id: String): Boolean =
id.nonEmpty && id.length > 3
inline def calculateScore(base: Int, multiplier: Double): Double =
base * multiplier
```
**Candidates**: Small utility methods in performance-critical paths (AI calculations, game state updates).
### 6. **Union Types Instead of Complex Hierarchies** 🎯 LOW IMPACT
**Benefits**: Simpler type definitions for either/or scenarios
**Pattern**: Simple sealed traits with only case classes
```scala
// Instead of:
sealed trait Result
case class Success(value: String) extends Result
case class Error(message: String) extends Result
// Consider:
type Result = Success | Error
case class Success(value: String)
case class Error(message: String)
```
### 7. **Context Functions for Cleaner APIs** 🎯 LOW IMPACT
**Benefits**: Cleaner API design, implicit context passing
**Pattern**: Replace implicit function parameters
```scala
// Old
type Handler = GameState => Unit
def withGameState(gs: GameState)(handler: Handler): Unit = handler(gs)
// New
type Handler = GameState ?=> Unit
def withGameState(gs: GameState)(handler: Handler): Unit =
given GameState = gs
handler
```
## Implementation Priority
### Phase 1: Quick Wins (High Impact, Low Risk)
1. **Convert Extension Methods** in `MoreSeq.scala` - immediate readability improvement
2. **Update Using Clauses** - simple find/replace operation
3. **Convert Simple Sealed Traits to Enums** - start with error types
### Phase 2: Type Safety Improvements
4. **Add Opaque Types** for IDs and measurements - improves type safety
5. **Inline Performance-Critical Methods** - measure before/after impact
### Phase 3: Advanced Features (Lower Priority)
6. **Union Types** where appropriate - only for simple either/or cases
7. **Context Functions** for complex API improvements
## Implementation Guidelines
### Style Consistency
- **Keep curly braces**: Continue using Scala 2 style `{}` instead of indentation-based syntax
- **Gradual adoption**: Modernize files as they're touched for other reasons
- **Test thoroughly**: Each modernization should include verification that behavior is unchanged
### Performance Considerations
- **Measure enum performance**: Verify that enum conversion actually improves performance in hot paths
- **Benchmark inline methods**: Use profiling to confirm performance gains
- **Consider compilation time**: Some features may increase compile time
### Migration Strategy
- **File-by-file approach**: Complete modernization of one file at a time
- **Separate PRs**: Each modernization type should be its own PR for easier review
- **Documentation**: Update this document as patterns are modernized
## Success Criteria
- [ ] All extension methods converted from implicit classes
- [ ] All implicit parameters converted to using clauses
- [ ] Key sealed traits converted to enums where appropriate
- [ ] Opaque types introduced for important ID types
- [ ] Performance-critical methods marked as inline (with benchmarks)
- [ ] No regression in functionality or performance
- [ ] Code remains readable and maintainable
## Notes
- Focus on high-impact, low-risk improvements first
- Each change should be driven by clear benefits (performance, readability, type safety)
- Maintain backward compatibility where possible
- Document any breaking changes clearly
-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*
-206
View File
@@ -1,206 +0,0 @@
# Occupants Vector Optimization - Conversion Report
## Overview
This document details the implementation of an embedded occupants vector in the GameState flatbuffer to replace O(n)
unit iteration with O(1) position lookups. It also catalogs all Occupant() and KnownEnemyOccupant() calls that could not
be converted to use the new optimized methods.
## Completed Conversions
### Successfully Converted Occupant() Calls (16 total)
#### Commands Directory (11 conversions)
1. **HideCommand.cpp**:
- Line 43: `Occupant(currentState->units(), target)``currentState.GetOccupant(target)`
- Line 59: `Occupant(currentState->units(), adjCoords)``currentState.GetOccupant(adjCoords)`
2. **ScoutCommand.cpp**:
- Line 63: `Occupant(currentState->units(), target)``currentState.GetOccupant(target)`
- Line 73: `Occupant(currentState->units(), adjacentCoords)``currentState.GetOccupant(adjacentCoords)`
3. **ReduceCommand.cpp**:
- Line 66: `Occupant(currentState->units(), target)``currentState.GetOccupant(target)`
4. **RaiseDeadCommand.cpp**:
- Line 53: `Occupant(currentState->units(), target)``currentState.GetOccupant(target)`
5. **HolyWaveCommand.cpp**:
- Line 233: `Occupant(runningState->units(), coords)``runningState.GetOccupant(coords)`
6. **MoveCommand.cpp**:
- Line 66: `Occupant(allUnits, destination)``currentState.GetOccupant(destination)`
- Line 98: `Occupant(allUnits, adj)``currentState.GetOccupant(adj)`
- Line 114: `Occupant(allUnits, adj)``currentState.GetOccupant(adj)`
#### Actions Directory (4 conversions)
1. **UpdateGameStatusAction.cpp**:
- Line 232: `Occupant(gameState->units(), criticalTile)``currentState.GetOccupant(criticalTile)`
2. **MeteorCastAction.cpp**:
- Line 186: `Occupant(runningGameState->units(), target)``runningGameState.GetOccupant(target)`
- Line 251: `Occupant(runningGameState->units(), splashCoords)``runningGameState.GetOccupant(splashCoords)`
- Line 304: `Occupant(runningGameState->units(), coords)``runningGameState.GetOccupant(coords)`
3. **UpdateOpponentKnowledgeAction.cpp**:
- Line 42: `Occupant(currentState->units(), adjCoords)``currentState.GetOccupant(adjCoords)`
#### Engine Directory (1 conversion)
1. **ShardokEngine.cpp**:
- Line 463: `Occupant(GetCurrentGameState()->units(), modifiedCoords)``gameState.GetOccupant(modifiedCoords)`
#### Factory Classes Directory (previously converted)
1. **PlayerSetupCommandFactory.cpp**:
- Line 31: `Occupant(gameState->units(), *possiblePosition)``gameState.GetOccupant(*possiblePosition)`
- Line 40: `Occupant(gameState->units(), possibleHidingPosition)``gameState.GetOccupant(possibleHidingPosition)`
2. **FallIntoWaterAction.cpp**:
- Line 154: `Occupant(currentState->units(), adjWithTerrain.adjacentCoords)`
`currentState.GetOccupant(adjWithTerrain.adjacentCoords)`
- Line 175: `Occupant(currentState->units(), bestCoords)``currentState.GetOccupant(bestCoords)`
### KnownEnemyOccupant() Conversions
**Result: 0 conversions possible**
All KnownEnemyOccupant() calls are in command factory methods that receive decomposed game state parameters (Units*,
vector<PlayerId>, etc.) rather than complete GameStateW objects.
## Remaining Unconverted Calls
### Occupant() Calls That Cannot Be Converted
#### 1. PerformUndeadCommandsAction.cpp (2 calls - No GameStateW access)
- **Line 69**: `Occupant(units, FromCoordsProto(possibleAttackCommandProto.target()))`
- **Line 99**: `Occupant(units, adjCoords)`
- **Reason**: These calls are in the `ChooseUndeadCommand()` function which only receives `const Units* units`
parameter, not a full GameStateW.
- **Location**: `src/main/cpp/net/eagle0/shardok/library/actions/PerformUndeadCommandsAction.cpp`
#### 2. AICommandFilter.cpp (1 call - Raw pointer access)
- **Line 399**: `KnownEnemyOccupant(pid, units, allyPids, fireLocation)` (in EXTINGUISH_FIRE_COMMAND case)
- **Reason**: Method receives `const GameState* gameState` parameter, not GameStateW. Has TODO comment noting this
limitation.
- **Location**: `src/main/cpp/net/eagle0/shardok/ai/AICommandFilter.cpp`
#### 3. UpdateGameStatusAction.cpp - Member Variable Usage
- **Various calls**: Uses `gameState` member variable of type `const GameState*`
- **Reason**: Class was designed to take raw GameState pointer in constructor, though InternalExecute method has
GameStateW access.
- **Location**: `src/main/cpp/net/eagle0/shardok/library/actions/UpdateGameStatusAction.cpp`
#### 4. IceAndSnowAdjustmentActionFactory.cpp (1 call - Factory pattern)
- **Line 42**: `Occupant(units, coords)`
- **Reason**: Factory method receives individual parameters, not GameStateW.
- **Location**: `src/main/cpp/net/eagle0/shardok/library/action_factories/IceAndSnowAdjustmentActionFactory.cpp`
### KnownEnemyOccupant() Calls That Cannot Be Converted
#### Command Factory Methods (8 calls - No GameStateW access)
1. **RepairCommandFactory.cpp** - Line 44
2. **FearCommandFactory.cpp** - Line 35
3. **LightningBoltCommandFactory.cpp** - Line 54
4. **ReduceCommandFactory.cpp** - Line 48
5. **ChallengeDuelCommandFactory.cpp** - Line 35
6. **HideCommandFactory.cpp** - Line 45
7. **MeleeCommandFactory.cpp** - Line 58
8. **ArcheryCommandFactory.cpp** - Line 89
**Common Reason**: All command factory methods follow a pattern where they receive individual game state components (
`Units* units`, `vector<PlayerId> allyPids`, etc.) rather than a complete GameStateW object.
#### Utility Functions (3 calls - Utility function parameters)
1. **HexMapUtils.cpp** - Lines 81, 670
2. **ZoneOfControlCalculator.cpp** - Line 143
**Reason**: These are utility functions that take decomposed parameters for reusability across different contexts.
## Performance Impact
### Achieved Improvements
- **16 Occupant() calls** converted from O(n) iteration to O(1) lookup
- Eliminated cache invalidation issues with thread-local approach
- Automatic copying of occupants vector with GameState copies
- **Estimated Performance Gain**: 2-5% reduction in AI search time for typical game states
### Trade-offs
- **Memory Overhead**: 168 bytes per GameState (14×12 map = 168 int16 values)
- **Incremental Updates**: ActionResultApplier now maintains occupants vector via UpdateOccupant() calls
- **Copy Cost**: Slightly higher GameState copy overhead offset by O(1) lookup benefits
## Architectural Patterns Identified
### Convertible Patterns
1. **Command InternalExecute methods**: Have access to `const GameStateW& currentState`
2. **Action InternalExecute methods**: Have access to `const GameStateW& currentState`
3. **Factory methods with GameStateW parameters**: Can access embedded occupants vector
### Non-Convertible Patterns
1. **Command Factory methods**: Receive decomposed parameters (`Units*`, `HexMap*`, etc.)
2. **Utility functions**: Take individual components for reusability
3. **Engine methods**: Often work with raw `GameState*` pointers
4. **Legacy member variables**: Classes storing `const GameState*` instead of `GameStateW`
## Recommendations for Future Work
### Potential Additional Conversions
1. **Refactor command factories** to accept GameStateW instead of decomposed parameters
2. **Update ShardokEngine** to use GameStateW internally where possible
3. **Create GameStateW constructors** from raw GameState* to enable more conversions
4. **Modernize legacy classes** to use GameStateW member variables
### Copy-on-Write Consideration
The user suggested implementing copy-on-write (COW) for GameStateW to reduce memory allocation overhead during AI
search. This could provide additional performance benefits by eliminating unnecessary copying of the occupants vector.
## Technical Implementation Details
### Core Changes Made
1. **game_state.fbs**: Added `occupants:[int16];` field
2. **GameStateW.cpp**: Implemented GetOccupant() and UpdateOccupant() methods
3. **GameStateCopier.cpp**: Populates occupants vector during GameState creation
4. **ActionResultApplier.cpp**: Maintains occupants vector during unit movement
### Key Method Signatures
```cpp
// O(1) occupant lookup
auto GameStateW::GetOccupant(const Coords& coords) const -> const Unit*;
// O(1) enemy occupant lookup
auto GameStateW::GetKnownEnemyOccupant(
PlayerId playerId,
const std::vector<PlayerId>& allyPids,
const Coords& coords) const -> const Unit*;
// Incremental occupants vector maintenance
void GameStateW::UpdateOccupant(
UnitId unitId,
const Coords& oldCoords,
const Coords& newCoords);
```
## Conclusion
The occupants vector optimization successfully converted 12 high-frequency Occupant() calls to O(1) lookups while
maintaining correctness through automatic copying and incremental updates. The remaining 15+ unconverted calls are
primarily in architectural layers (command factories, utilities) that would require broader refactoring to convert. The
performance improvement achieved represents a solid foundation that could be extended with future architectural
modernization.
-310
View File
@@ -1,310 +0,0 @@
# Scala 3 Migration: Reflection Issues Found
This document catalogs all reflection-related problems discovered during the Scala 2.13.16 → Scala 3.7.2 migration of the Eagle0 codebase.
## Summary
The migration revealed several categories of reflection issues that needed to be addressed for Scala 3 compatibility:
1. **Scala 2 Runtime Reflection API** - No longer available in Scala 3
2. **Settings System Reflection** - Custom reflection for loading settings singletons
3. **json4s Automatic Case Class Extraction** - Uses reflection that fails with Scala 3 metaprogramming classes
4. **ScalaTest Exception Handling** - Syntax changes affecting exception variable binding
## 1. Scala 2 Runtime Reflection (FIXED)
### Issue
Tests using `scala.reflect.runtime.universe` fail because this reflection API doesn't exist in Scala 3.
### Files Affected
- `/Users/dancrosby/CodingProjects/github/eagle0/src/test/scala/net/eagle0/eagle/library/actions/types/ActionResultTypesTest.scala`
### Error
```scala
import scala.reflect.runtime.universe // Not available in Scala 3
```
### Solution Applied
**Deleted the test entirely** as it was redundant. The test was verifying that auto-generated Scala objects (created by Bazel from proto enum values) matched their source proto values - something already guaranteed by the build system. Since the objects are generated directly from the proto definitions, this test provided no value.
**Files deleted:**
- `src/test/scala/net/eagle0/eagle/library/actions/types/ActionResultTypesTest.scala`
## 2. Settings System Reflection (FIXED)
### Issue
Custom `SettingsLoader` class used reflection to access Scala object singletons, but the reflection pattern changed between Scala 2 and Scala 3.
### Files Affected
- `/Users/dancrosby/CodingProjects/github/eagle0/src/main/scala/net/eagle0/eagle/library/settings/loaders/SettingsLoader.scala`
### Error
```
java.lang.NoSuchMethodException: net.eagle0.eagle.library.settings.ApprehendOutlawVigorCost$.MODULE$
```
### Root Cause
In Scala 2, singleton objects are accessed via `ClassName$.MODULE$()`, but in Scala 3, they're accessed directly via `ClassName$` field. Additionally, `scala.reflect.runtime.universe` is not available in Scala 3.
### Solution Applied
**Completely eliminated reflection** by auto-generating the entire `SettingsLoader.scala` file from BUILD.bazel definitions:
1. **Created generator**: `src/main/go/net/eagle0/build/settings_loader_generator/settings_loader_generator.go` - parses BUILD.bazel and generates complete SettingsLoader.scala with pattern matching for all 272 settings
2. **Added genrule**: In `src/main/scala/net/eagle0/eagle/library/settings/loaders/BUILD.bazel`:
```python
genrule(
name = "settings_loader_src",
srcs = ["//src/main/scala/net/eagle0/eagle/library/settings:BUILD.bazel"],
outs = ["SettingsLoader.scala"],
cmd = "$(location //src/main/go/net/eagle0/build/settings_loader_generator) $(location //src/main/scala/net/eagle0/eagle/library/settings:BUILD.bazel) > $@",
tools = ["//src/main/go/net/eagle0/build/settings_loader_generator"],
)
```
3. **Result**: SettingsLoader now uses compile-time pattern matching instead of reflection:
```scala
private def settingObjectForKey(key: String): Any = key match {
case "ActionVigorCost" => ActionVigorCost
case "BaseFoodBuyPrice" => BaseFoodBuyPrice
// ... all 272 settings auto-generated
case _ => throw NoSuchSettingException(key)
}
```
### Benefits
- **No reflection** - Completely Scala 3 compatible
- **Maintainable** - New settings automatically included when added to BUILD.bazel
- **Performance** - Pattern matching is faster than reflection
- **Type-safe** - Compile-time checking of all settings
## 3. json4s Reflection Issues (MULTIPLE LOCATIONS)
### 3.1 EagleServiceImpl JSON Serialization (FIXED)
#### Files Affected
- `/Users/dancrosby/CodingProjects/github/eagle0/src/main/scala/net/eagle0/eagle/service/EagleServiceImpl.scala`
#### Error
```
java.lang.NoClassDefFoundError: scala/quoted/staging/package$
```
#### Root Cause
json4s automatic case class serialization uses reflection that tries to access Scala 3 metaprogramming classes (`scala.quoted.staging.package$`) which aren't available at runtime.
#### Solution Applied
Replaced automatic json4s serialization with ScalaPB's built-in JSON support:
```scala
// Old (reflection-based):
// implicit val formats: DefaultFormats.type = DefaultFormats
// write(actionResultView)
// New (ScalaPB JSON support):
import scalapb.json4s.JsonFormat
JsonFormat.toJsonString(actionResultView.toProto)
```
### 3.2 ShardokMapInfo JSON Parsing (FIXED)
#### Files Affected
- `/Users/dancrosby/CodingProjects/github/eagle0/src/main/scala/net/eagle0/eagle/library/util/ShardokMapInfo.scala` (Line 44)
#### Error
```
java.lang.NoClassDefFoundError: scala/quoted/staging/package$
at org.json4s.reflect.ScalaSigReader$.readConstructor(ScalaSigReader.scala:42)
```
#### Root Cause
The line `val extracted = parsedJson.extract[List[ShardokMapInfo]]` uses json4s automatic case class extraction which relies on reflection.
#### Solution Applied
Replaced automatic extraction with manual JSON parsing:
```scala
// OLD (reflection-based):
val extracted = parsedJson.extract[List[ShardokMapInfo]]
// NEW (manual parsing, no reflection):
val extracted = parsedJson match {
case JArray(items) => items.map { item =>
val name = (item \ "name").extract[String]
val castleCount = (item \ "castleCount").extract[Int]
val positions = (item \ "positions").extract[Map[Int, Int]]
ShardokMapInfo(name, castleCount, positions)
}
case _ => throw new Exception("Expected JSON array for map info")
}
```
#### Testing
The fix was verified - `attack_command_chooser_test` now passes successfully.
### 3.3 HeroNameFetcher JSON Parsing (FIXED)
#### Files Affected
- `/Users/dancrosby/CodingProjects/github/eagle0/src/main/scala/net/eagle0/eagle/library/util/hero_name_fetcher/HeroNameFetcher.scala`
#### Issue
Case class extraction `parsedJson.extract[ResponseBody]` uses reflection that may fail in Scala 3.
#### Solution Applied
Replaced automatic case class extraction with manual JSON parsing:
```scala
// OLD (reflection-based):
val parsedJson = json.parse(src.getLines().mkString)
parsedJson.extract[ResponseBody]
// NEW (manual parsing, no reflection):
parsedJson \ "names" match {
case JArray(nameArray) =>
nameArray.map { nameObj =>
val id = (nameObj \ "id").extract[String]
val name = (nameObj \ "name").extract[String]
NameResponse(id, name)
}.toVector
case _ => throw new Exception("Expected 'names' array in response")
}
```
#### Testing
The fix was verified - HeroNameFetcher now builds successfully without reflection.
### 3.4 Other json4s Usage Analysis
#### Files with json4s extraction:
- **✅ SAFE**: OpenAI/Claude Services - Only extract simple types (`String`, `Int`) - no reflection
- **✅ FIXED**: `HeroNameFetcher.scala` - Replaced `extract[ResponseBody]` with manual parsing (no reflection)
- **⚠️ POTENTIAL ISSUES** (not currently causing failures but should be monitored):
- `JsonUtils.scala`: `extract[Map[String, Vector[String]]]` - complex type extraction
- `HexMapJsonUtils.scala`: `extract[List[JObject]]` - may be problematic
#### Recommendation
Apply the same manual parsing pattern to remaining case class extractions if they cause runtime failures during Scala 3 migration.
## 4. ScalaTest Exception Handling Syntax (FIXED)
### Issue
Scala 3 changed how exception variables are bound in ScalaTest's `the[Exception] thrownBy {...}` construct.
### Files Affected
**70+ test files** across the codebase using exception testing patterns.
### Error Pattern
```
Not found: ex
```
### Root Cause
In Scala 2: `the[Exception] thrownBy { ... }` automatically creates an `ex` variable.
In Scala 3: The exception variable must be explicitly bound.
### Solution Applied
Added explicit variable binding across all affected test files:
```scala
// Old Scala 2 syntax:
the[EagleCommandException] thrownBy {
// test code
}
ex.getMessage shouldBe "expected message"
// New Scala 3 syntax:
val ex = the[EagleCommandException] thrownBy {
// test code
}
ex.getMessage shouldBe "expected message"
```
### Script Used
Created and ran a systematic fix script that processed 70+ files:
```bash
# Pattern to find and fix exception handling
find . -name "*.scala" -exec sed -i '' 's/the\[\([^]]*\)\] thrownBy {/val ex = the[\1] thrownBy {/g' {} \;
```
## 5. ScalaTest Import Changes (FIXED)
### Issue
Scala 3 requires different imports for ScalaTest matchers.
### Files Affected
- `/Users/dancrosby/CodingProjects/github/eagle0/src/test/scala/net/eagle0/eagle/library/actions/impl/command/DeclineQuestCommandTest.scala`
### Error
```
value convertToAnyShouldWrapper is not a member of object org.scalatest.matchers.should.Matchers
```
### Solution Applied
Changed from specific imports to wildcard import:
```scala
// Old:
import org.scalatest.matchers.should.Matchers.{convertToAnyShouldWrapper, the}
// New:
import org.scalatest.matchers.should.Matchers.*
```
## 6. Mock Framework Issues (FIXED)
### Issue
ScalaMock had type inference issues with Scala 3 for classes with constructor parameters.
### Files Affected
- `/Users/dancrosby/CodingProjects/github/eagle0/src/test/scala/net/eagle0/eagle/library/EngineImplTest.scala`
### Error
```
Found: Vector
Required: Vector[net.eagle0.eagle.library.util.hero_generator.hero_with_name.HeroWithName]
```
### Root Cause
Mock framework couldn't properly infer types for `mock[HeroGenerator]` where `HeroGenerator` has constructor parameters.
### Solution Applied
The user updated to a newer ScalaMock version that fixed this issue, plus added some missing Bazel dependencies:
```scala
// Also needed to add missing dependency:
"//src/main/scala/net/eagle0/eagle/shardok_interface:battle_resolution"
```
## Migration Status
### ✅ COMPLETED
- [x] Scala 2 runtime reflection removal
- [x] Settings system reflection compatibility
- [x] EagleServiceImpl json4s → ScalaPB JSON
- [x] ScalaTest exception handling syntax (70+ files)
- [x] ScalaTest import changes
- [x] Mock framework issues (via ScalaMock update)
- [x] All test compilation issues resolved
### ⚠️ REMAINING
- [ ] **Potential json4s case class extractions** - May cause runtime failures (JsonUtils, HexMapJsonUtils) - currently no test failures reported
### 📊 PROGRESS
- **Tests passing**: All identified runtime failures resolved
- **Build failures**: 0 (all tests now compile)
- **Runtime failures**: 0 (critical ShardokMapInfo issue resolved)
## Recommendations
1. **✅ COMPLETED**: ShardokMapInfo json4s reflection issue resolved with manual parsing
2. **Monitor remaining json4s usage**: Watch for runtime failures in HeroNameFetcher, JsonUtils, and HexMapJsonUtils during full Scala 3 migration
3. **Consider ScalaPB for new JSON needs**: For new functionality, prefer ScalaPB's JSON support to avoid reflection entirely
4. **Apply manual parsing pattern**: If other json4s case class extractions cause runtime failures, use the same manual parsing approach demonstrated in ShardokMapInfo
## Key Learnings
- **Scala 3 reflection changes**: Major differences in singleton object access patterns
- **json4s compatibility**: Automatic case class extraction doesn't work well with Scala 3 metaprogramming
- **ScalaPB advantage**: Using ScalaPB's JSON support avoids reflection issues entirely
- **Systematic approach**: Many issues followed patterns that could be fixed with scripts across multiple files
Binary file not shown.
-6
View File
@@ -1,6 +0,0 @@
cc_library(
name = "gtl",
hdrs = glob(["include/gtl/*.hpp"]),
includes = ["include"],
visibility = ["//visibility:public"],
)
+5
View File
@@ -0,0 +1,5 @@
cc_library(
name = "parallel_hashmap",
hdrs = glob(["parallel_hashmap/*.h"]),
visibility = ["//visibility:public"],
)
-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=
+167 -251
View File
@@ -1,10 +1,9 @@
{
"__AUTOGENERATED_FILE_DO_NOT_MODIFY_THIS_FILE_MANUALLY": "THERE_IS_NO_DATA_ONLY_ZUUL",
"__INPUT_ARTIFACTS_HASH": 289080209,
"__RESOLVED_ARTIFACTS_HASH": -131178107,
"__INPUT_ARTIFACTS_HASH": 644967262,
"__RESOLVED_ARTIFACTS_HASH": -595552834,
"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",
@@ -15,7 +14,8 @@
"io.netty:netty-transport-native-unix-common:4.1.110.Final": "io.netty:netty-transport-native-unix-common:4.1.112.Final",
"io.netty:netty-transport:4.1.110.Final": "io.netty:netty-transport:4.1.112.Final",
"io.opencensus:opencensus-api:0.31.0": "io.opencensus:opencensus-api:0.31.1",
"org.checkerframework:checker-qual:3.12.0": "org.checkerframework:checker-qual:3.43.0"
"org.checkerframework:checker-qual:3.12.0": "org.checkerframework:checker-qual:3.43.0",
"org.scala-lang:scala-library:2.13.14": "org.scala-lang:scala-library:2.13.15"
},
"artifacts": {
"com.amazonaws:aws-lambda-java-core": {
@@ -156,18 +156,6 @@
},
"version": "1.4.2"
},
"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"
@@ -176,39 +164,27 @@
},
"com.squareup.okio:okio": {
"shasums": {
"jar": "8e63292e5c53bb93c4a6b0c213e79f15990fed250c1340f1c343880e1c9c39b5"
"jar": "a27f091d34aa452e37227e2cfa85809f29012a8ef2501a9b5a125a978e4fcbc1"
},
"version": "3.6.0"
"version": "2.10.0"
},
"com.squareup.okio:okio-jvm": {
"com.thesamet.scalapb:compilerplugin_2.13": {
"shasums": {
"jar": "67543f0736fc422ae927ed0e504b98bc5e269fda0d3500579337cb713da28412"
},
"version": "3.6.0"
},
"com.thesamet.scalapb:compilerplugin_3": {
"shasums": {
"jar": "e7d7156269fc23cbb539eea60f07c3230aa05a726434fc942b040495567f0a2d"
"jar": "218640423ba8156f994d6d700ef960d65025f79a5918070c0898213f4384df1f"
},
"version": "1.0.0-alpha.1"
},
"com.thesamet.scalapb:lenses_3": {
"com.thesamet.scalapb:lenses_2.13": {
"shasums": {
"jar": "63fdffc573947402c526c49cf6ee92990ede88d55eb56af5123dfd247b365185"
"jar": "46902feb0fd848fce92e234514254dc43b3cde5f6e10e88ae6eec52f4c016fbc"
},
"version": "1.0.0-alpha.1"
},
"com.thesamet.scalapb:protoc-bridge_2.13": {
"shasums": {
"jar": "403f0e7223c8fd052cff0fbf977f3696c387a696a3a12d7b031d95660c7552f5"
"jar": "0b3827da2cd9bca867d6963c2a821e7eaff41f5ac3babf671c4c00408bd14a9b"
},
"version": "0.9.7"
},
"com.thesamet.scalapb:protoc-bridge_3": {
"shasums": {
"jar": "e7e2f1862f54076b6870bd034a7c16aae7b88cfee3d00b69dbb6b1175108560c"
},
"version": "0.9.9"
"version": "0.9.8"
},
"com.thesamet.scalapb:protoc-gen_2.13": {
"shasums": {
@@ -216,24 +192,30 @@
},
"version": "0.9.7"
},
"com.thesamet.scalapb:scalapb-json4s_3": {
"com.thesamet.scalapb:scalapb-json4s_2.13": {
"shasums": {
"jar": "deed5b6ebf5e9bf676e629036ea60182d68b747c775ca5f0222211fcca697e14"
"jar": "16b1983d09091e1227de69a999285c02818b8d0639a0520de511d11a3e6fb1cd"
},
"version": "1.0.0-alpha.1"
},
"com.thesamet.scalapb:scalapb-runtime-grpc_3": {
"com.thesamet.scalapb:scalapb-runtime-grpc_2.13": {
"shasums": {
"jar": "0c8574f91693cb08795ed16a601bcf6d5ba46ba8dbd71792910b706cce995c7a"
"jar": "75eb71fea9509308070812b8bcf1eec90c065be3e9d8c60b12098f206db6c581"
},
"version": "1.0.0-alpha.1"
},
"com.thesamet.scalapb:scalapb-runtime_3": {
"com.thesamet.scalapb:scalapb-runtime_2.13": {
"shasums": {
"jar": "37ec7d72d56f58e3adb78e385e39ecb927a5097e290f4e51332bbd55fc534a65"
"jar": "0ceaaf48bc3fa41419fcb8830d21685aea8b7a5e403b90b3246124d9f4b6d087"
},
"version": "1.0.0-alpha.1"
},
"com.thoughtworks.paranamer:paranamer": {
"shasums": {
"jar": "688cb118a6021d819138e855208c956031688be4b47a24bb615becc63acedf07"
},
"version": "2.8"
},
"commons-codec:commons-codec": {
"shasums": {
"jar": "f9f6cb103f2ddc3c99a9d80ada2ae7bf0685111fd6bffccb72033d1da4e6ff23"
@@ -463,27 +445,15 @@
},
"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": {
@@ -491,35 +461,41 @@
},
"version": "13.0"
},
"org.json4s:json4s-ast_3": {
"org.json4s:json4s-ast_2.13": {
"shasums": {
"jar": "d899bf87f5a9b0ce73f2dcde2029a1e18b6c5557abd08ee45d26845c3d22a583"
},
"version": "4.1.0-M8"
},
"org.json4s:json4s-core_3": {
"shasums": {
"jar": "ecf2ca8c4a27b6e61eca45f12d8840bacc5f2e38b89dfa7c9694b4e889aa4e3d"
},
"version": "4.1.0-M8"
},
"org.json4s:json4s-jackson-core_3": {
"shasums": {
"jar": "aeb0034d1f7eb854b56a672b7dc97c2a96b8109d8dbc8d3128faeca04274fbd3"
"jar": "3135eceb95b679ea228e3543267d12bea5f4bdb68e3e8fc55402824d85885e7e"
},
"version": "4.0.7"
},
"org.json4s:json4s-native-core_3": {
"org.json4s:json4s-core_2.13": {
"shasums": {
"jar": "f5565d5cefed6fdfcbefcf3e5a8e22b2d0455538446af151ac90bc110442c00c"
"jar": "e831e4a676964d3f38a408b464b3ba6d21b76730c01f13d2d0b9995945fa06ce"
},
"version": "4.1.0-M8"
"version": "4.0.7"
},
"org.json4s:json4s-native_3": {
"org.json4s:json4s-jackson-core_2.13": {
"shasums": {
"jar": "cf95bc65afb8230d255fa00c1a1185d958d9dd09fb594f35bf4ab849d7817f8e"
"jar": "c189e11ddb2c8e15544386687d986108584934b06a025c09c334f24b11260528"
},
"version": "4.1.0-M8"
"version": "4.0.7"
},
"org.json4s:json4s-native-core_2.13": {
"shasums": {
"jar": "038ce5b91ba8d6198eb11368f90bf7c8f0e05d8fb6a914d1ccf25aa88a8ff6da"
},
"version": "4.0.7"
},
"org.json4s:json4s-native_2.13": {
"shasums": {
"jar": "728c6970ff1f6101ca2d47a32c0f7d55277fab92485eef8a8be3e289a4e445ea"
},
"version": "4.0.7"
},
"org.json4s:json4s-scalap_2.13": {
"shasums": {
"jar": "69bdf853f04379970939022247495f30f60a3ef7292d6af77ad7bec4cb83ff4b"
},
"version": "4.0.7"
},
"org.ow2.asm:asm": {
"shasums": {
@@ -533,29 +509,29 @@
},
"version": "1.0.4"
},
"org.scala-lang.modules:scala-collection-compat_3": {
"org.scala-lang.modules:scala-collection-compat_2.13": {
"shasums": {
"jar": "af81a8bc7d85d2e02ad4448a83ed5f9fe08f64e3d47ca9c050a8c33e19aa4018"
"jar": "befff482233cd7f9a7ca1e1f5a36ede421c018e6ce82358978c475d45532755f"
},
"version": "2.12.0"
},
"org.scala-lang:scala-library": {
"shasums": {
"jar": "1ebb2b6f9e4eb4022497c19b1e1e825019c08514f962aaac197145f88ed730f1"
"jar": "8e4dbc3becf70d59c787118f6ad06fab6790136a0699cd6412bc9da3d336944e"
},
"version": "2.13.16"
"version": "2.13.15"
},
"org.scala-lang:scala3-library_3": {
"org.scala-lang:scala-reflect": {
"shasums": {
"jar": "cf4ddaf76c0ce71cf68ca5d2dc7bad46c5a921aaf18909317ddc9ba6e67fb12b"
"jar": "c648ceb93a9fcbd22603e0be3d6a156723ae661f516c772a550a088bb3cbca7a"
},
"version": "3.3.6"
"version": "2.13.12"
},
"org.scalamock:scalamock_3": {
"org.scalamock:scalamock_2.13": {
"shasums": {
"jar": "9a421b4eb47cbef8394998ec864eea21c1c3e43b1b80966efd493cd06e7b4516"
"jar": "f34aacf41fddcf7341408b932ff3cad836c0fc59a080cb19548a587961b4ec2f"
},
"version": "7.4.1"
"version": "6.0.0"
},
"org.slf4j:slf4j-api": {
"shasums": {
@@ -810,63 +786,48 @@
"org.checkerframework:checker-qual",
"org.ow2.asm:asm"
],
"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"
"org.jetbrains.kotlin:kotlin-stdlib",
"org.jetbrains.kotlin:kotlin-stdlib-common"
],
"com.squareup.okio:okio-jvm": [
"org.jetbrains.kotlin:kotlin-stdlib-common",
"org.jetbrains.kotlin:kotlin-stdlib-jdk8"
],
"com.thesamet.scalapb:compilerplugin_3": [
"com.thesamet.scalapb:compilerplugin_2.13": [
"com.google.protobuf:protobuf-java",
"com.thesamet.scalapb:protoc-gen_2.13",
"org.scala-lang.modules:scala-collection-compat_3",
"org.scala-lang:scala3-library_3"
"org.scala-lang.modules:scala-collection-compat_2.13",
"org.scala-lang:scala-library"
],
"com.thesamet.scalapb:lenses_3": [
"org.scala-lang.modules:scala-collection-compat_3",
"org.scala-lang:scala3-library_3"
"com.thesamet.scalapb:lenses_2.13": [
"org.scala-lang.modules:scala-collection-compat_2.13",
"org.scala-lang:scala-library"
],
"com.thesamet.scalapb:protoc-bridge_2.13": [
"dev.dirs:directories",
"org.scala-lang:scala-library"
],
"com.thesamet.scalapb:protoc-bridge_3": [
"dev.dirs:directories",
"org.scala-lang:scala3-library_3"
],
"com.thesamet.scalapb:protoc-gen_2.13": [
"com.thesamet.scalapb:protoc-bridge_2.13",
"org.scala-lang:scala-library"
],
"com.thesamet.scalapb:scalapb-json4s_3": [
"com.thesamet.scalapb:scalapb-runtime_3",
"org.json4s:json4s-jackson-core_3",
"org.scala-lang:scala3-library_3"
"com.thesamet.scalapb:scalapb-json4s_2.13": [
"com.thesamet.scalapb:scalapb-runtime_2.13",
"org.json4s:json4s-jackson-core_2.13",
"org.scala-lang:scala-library"
],
"com.thesamet.scalapb:scalapb-runtime-grpc_3": [
"com.thesamet.scalapb:scalapb-runtime_3",
"com.thesamet.scalapb:scalapb-runtime-grpc_2.13": [
"com.thesamet.scalapb:scalapb-runtime_2.13",
"io.grpc:grpc-protobuf",
"io.grpc:grpc-stub",
"org.scala-lang.modules:scala-collection-compat_3",
"org.scala-lang:scala3-library_3"
"org.scala-lang.modules:scala-collection-compat_2.13",
"org.scala-lang:scala-library"
],
"com.thesamet.scalapb:scalapb-runtime_3": [
"com.thesamet.scalapb:scalapb-runtime_2.13": [
"com.google.protobuf:protobuf-java",
"com.thesamet.scalapb:lenses_3",
"org.scala-lang.modules:scala-collection-compat_3",
"org.scala-lang:scala3-library_3"
"com.thesamet.scalapb:lenses_2.13",
"org.scala-lang.modules:scala-collection-compat_2.13",
"org.scala-lang:scala-library"
],
"io.grpc:grpc-api": [
"com.google.code.findbugs:jsr305",
@@ -1034,42 +995,41 @@
"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"
],
"org.json4s:json4s-core_3": [
"org.json4s:json4s-ast_3",
"org.scala-lang:scala3-library_3"
],
"org.json4s:json4s-jackson-core_3": [
"com.fasterxml.jackson.core:jackson-databind",
"org.json4s:json4s-ast_3",
"org.scala-lang:scala3-library_3"
],
"org.json4s:json4s-native-core_3": [
"org.json4s:json4s-ast_3",
"org.scala-lang:scala3-library_3"
],
"org.json4s:json4s-native_3": [
"org.json4s:json4s-core_3",
"org.json4s:json4s-native-core_3",
"org.scala-lang:scala3-library_3"
],
"org.scala-lang.modules:scala-collection-compat_3": [
"org.scala-lang:scala3-library_3"
],
"org.scala-lang:scala3-library_3": [
"org.json4s:json4s-ast_2.13": [
"org.scala-lang:scala-library"
],
"org.scalamock:scalamock_3": [
"org.scala-lang:scala3-library_3"
"org.json4s:json4s-core_2.13": [
"com.thoughtworks.paranamer:paranamer",
"org.json4s:json4s-ast_2.13",
"org.json4s:json4s-scalap_2.13",
"org.scala-lang:scala-library"
],
"org.json4s:json4s-jackson-core_2.13": [
"com.fasterxml.jackson.core:jackson-databind",
"org.json4s:json4s-ast_2.13",
"org.scala-lang:scala-library"
],
"org.json4s:json4s-native-core_2.13": [
"org.json4s:json4s-ast_2.13",
"org.scala-lang:scala-library"
],
"org.json4s:json4s-native_2.13": [
"org.json4s:json4s-core_2.13",
"org.json4s:json4s-native-core_2.13",
"org.scala-lang:scala-library"
],
"org.json4s:json4s-scalap_2.13": [
"org.scala-lang:scala-library"
],
"org.scala-lang.modules:scala-collection-compat_2.13": [
"org.scala-lang:scala-library"
],
"org.scala-lang:scala-reflect": [
"org.scala-lang:scala-library"
],
"org.scalamock:scalamock_2.13": [
"org.scala-lang:scala-library",
"org.scala-lang:scala-reflect"
],
"org.slf4j:slf4j-simple": [
"org.slf4j:slf4j-api"
@@ -1500,29 +1460,6 @@
"com.google.truth:truth": [
"com.google.common.truth"
],
"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",
@@ -1531,18 +1468,18 @@
"com.squareup.okhttp.internal.io",
"com.squareup.okhttp.internal.tls"
],
"com.squareup.okio:okio-jvm": [
"com.squareup.okio:okio": [
"okio",
"okio.internal"
],
"com.thesamet.scalapb:compilerplugin_3": [
"com.thesamet.scalapb:compilerplugin_2.13": [
"scalapb",
"scalapb.compiler",
"scalapb.internal",
"scalapb.options",
"scalapb.options.compiler"
],
"com.thesamet.scalapb:lenses_3": [
"com.thesamet.scalapb:lenses_2.13": [
"scalapb.lenses"
],
"com.thesamet.scalapb:protoc-bridge_2.13": [
@@ -1550,21 +1487,16 @@
"protocbridge.codegen",
"protocbridge.frontend"
],
"com.thesamet.scalapb:protoc-bridge_3": [
"protocbridge",
"protocbridge.codegen",
"protocbridge.frontend"
],
"com.thesamet.scalapb:protoc-gen_2.13": [
"protocgen"
],
"com.thesamet.scalapb:scalapb-json4s_3": [
"com.thesamet.scalapb:scalapb-json4s_2.13": [
"scalapb.json4s"
],
"com.thesamet.scalapb:scalapb-runtime-grpc_3": [
"com.thesamet.scalapb:scalapb-runtime-grpc_2.13": [
"scalapb.grpc"
],
"com.thesamet.scalapb:scalapb-runtime_3": [
"com.thesamet.scalapb:scalapb-runtime_2.13": [
"com.google.protobuf.any",
"com.google.protobuf.api",
"com.google.protobuf.compiler.plugin",
@@ -1583,6 +1515,9 @@
"scalapb.options",
"scalapb.textformat"
],
"com.thoughtworks.paranamer:paranamer": [
"com.thoughtworks.paranamer"
],
"commons-codec:commons-codec": [
"org.apache.commons.codec",
"org.apache.commons.codec.binary",
@@ -1886,7 +1821,6 @@
"kotlin.annotation",
"kotlin.collections",
"kotlin.collections.builders",
"kotlin.collections.jdk8",
"kotlin.collections.unsigned",
"kotlin.comparisons",
"kotlin.concurrent",
@@ -1895,59 +1829,51 @@
"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",
"org.jetbrains.annotations"
],
"org.json4s:json4s-ast_3": [
"org.json4s:json4s-ast_2.13": [
"org.json4s",
"org.json4s.prefs"
],
"org.json4s:json4s-core_3": [
"org.json4s:json4s-core_2.13": [
"org.json4s",
"org.json4s.prefs",
"org.json4s.reflect"
],
"org.json4s:json4s-jackson-core_3": [
"org.json4s:json4s-jackson-core_2.13": [
"org.json4s.jackson"
],
"org.json4s:json4s-native-core_3": [
"org.json4s:json4s-native-core_2.13": [
"org.json4s.native"
],
"org.json4s:json4s-native_3": [
"org.json4s:json4s-native_2.13": [
"org.json4s.native"
],
"org.json4s:json4s-scalap_2.13": [
"org.json4s.scalap",
"org.json4s.scalap.scalasig"
],
"org.ow2.asm:asm": [
"org.objectweb.asm",
"org.objectweb.asm.signature"
@@ -1955,7 +1881,7 @@
"org.reactivestreams:reactive-streams": [
"org.reactivestreams"
],
"org.scala-lang.modules:scala-collection-compat_3": [
"org.scala-lang.modules:scala-collection-compat_2.13": [
"scala.collection.compat",
"scala.collection.compat.immutable",
"scala.util.control.compat",
@@ -1994,26 +1920,22 @@
"scala.util.hashing",
"scala.util.matching"
],
"org.scala-lang:scala3-library_3": [
"scala",
"scala.annotation",
"scala.annotation.internal",
"scala.annotation.unchecked",
"scala.compiletime",
"scala.compiletime.ops",
"scala.compiletime.testing",
"scala.deriving",
"scala.quoted",
"scala.quoted.runtime",
"scala.reflect",
"scala.runtime",
"scala.runtime.coverage",
"scala.runtime.function",
"scala.runtime.stdLibPatches",
"scala.util",
"scala.util.control"
"org.scala-lang:scala-reflect": [
"scala.reflect.api",
"scala.reflect.internal",
"scala.reflect.internal.annotations",
"scala.reflect.internal.pickling",
"scala.reflect.internal.settings",
"scala.reflect.internal.tpe",
"scala.reflect.internal.transform",
"scala.reflect.internal.util",
"scala.reflect.io",
"scala.reflect.macros",
"scala.reflect.macros.blackbox",
"scala.reflect.macros.whitebox",
"scala.reflect.runtime"
],
"org.scalamock:scalamock_3": [
"org.scalamock:scalamock_2.13": [
"org.scalamock",
"org.scalamock.clazz",
"org.scalamock.context",
@@ -2024,8 +1946,6 @@
"org.scalamock.scalatest",
"org.scalamock.scalatest.proxy",
"org.scalamock.specs2",
"org.scalamock.stubs",
"org.scalamock.stubs.internal",
"org.scalamock.util"
],
"org.slf4j:slf4j-api": [
@@ -2355,19 +2275,16 @@
"com.google.protobuf:protobuf-java",
"com.google.re2j:re2j",
"com.google.truth:truth",
"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:compilerplugin_2.13",
"com.thesamet.scalapb:lenses_2.13",
"com.thesamet.scalapb:protoc-bridge_2.13",
"com.thesamet.scalapb:protoc-bridge_3",
"com.thesamet.scalapb:protoc-gen_2.13",
"com.thesamet.scalapb:scalapb-json4s_3",
"com.thesamet.scalapb:scalapb-runtime-grpc_3",
"com.thesamet.scalapb:scalapb-runtime_3",
"com.thesamet.scalapb:scalapb-json4s_2.13",
"com.thesamet.scalapb:scalapb-runtime-grpc_2.13",
"com.thesamet.scalapb:scalapb-runtime_2.13",
"com.thoughtworks.paranamer:paranamer",
"commons-codec:commons-codec",
"commons-logging:commons-logging",
"dev.dirs:directories",
@@ -2412,20 +2329,19 @@
"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",
"org.json4s:json4s-jackson-core_3",
"org.json4s:json4s-native-core_3",
"org.json4s:json4s-native_3",
"org.json4s:json4s-ast_2.13",
"org.json4s:json4s-core_2.13",
"org.json4s:json4s-jackson-core_2.13",
"org.json4s:json4s-native-core_2.13",
"org.json4s:json4s-native_2.13",
"org.json4s:json4s-scalap_2.13",
"org.ow2.asm:asm",
"org.reactivestreams:reactive-streams",
"org.scala-lang.modules:scala-collection-compat_3",
"org.scala-lang.modules:scala-collection-compat_2.13",
"org.scala-lang:scala-library",
"org.scala-lang:scala3-library_3",
"org.scalamock:scalamock_3",
"org.scala-lang:scala-reflect",
"org.scalamock:scalamock_2.13",
"org.slf4j:slf4j-api",
"org.slf4j:slf4j-simple",
"software.amazon.awssdk:annotations",
-11
View File
@@ -1,11 +0,0 @@
#!/bin/bash
set -e
# AI Performance Test Runner Script
# Runs the AI performance test with optimized builds and 10 turns
echo "Running AI performance test with optimized build..."
echo "=============================================="
# Run with optimized compilation and 10 turns
bazel run -c opt //src/main/cpp/net/eagle0/shardok/ai_performance_runner:ai_performance_runner -- --turns=10 "$@"
+2 -3
View File
@@ -3,8 +3,7 @@
set -euxo pipefail
/bin/echo "building darwin bundle"
bazel build --config=mactools @net_eagle0_unity_godice//darwin/framework:DarwinGodiceBundle
ZIP_LOCATION=$(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
${PWD}/scripts/dlSettings.sh
-235
View File
@@ -1,235 +0,0 @@
#!/bin/bash
#
# generate_changelog.sh
#
# Generates a weekly changelog from merged PRs, uses Claude to create a synopsis,
# and opens an email draft in Mac Mail.
#
# Usage: ./scripts/generate_changelog.sh [--dry-run]
#
# The script tracks its last run using a git tag 'changelog-last-run'.
# On first run (no tag), it defaults to the previous Friday at 4pm.
set -euo pipefail
# Ensure homebrew binaries are in PATH
export PATH="/opt/homebrew/bin:$PATH"
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
REPO_ROOT="$(cd "$SCRIPT_DIR/.." && pwd)"
TAG_NAME="changelog-last-run"
DRY_RUN=false
# 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"
cat > "$prompt_file" <<'PROMPT_HEADER'
You are summarizing changes for a weekly engineering update email.
Read the following list of merged PRs and create a concise synopsis grouped by theme/feature/area of the codebase.
Guidelines:
- Group related changes together under clear headings (ALL CAPS with a blank line before)
- Use "- " bullet points for individual changes
- Highlight any significant new features, breaking changes, or important fixes
- Keep the tone professional but accessible
- Aim for a summary that takes 1-2 minutes to read
- Don't include PR numbers in the summary - focus on what changed and why it matters
IMPORTANT: Output plain text only. No markdown, no HTML. Use simple formatting:
- ALL CAPS for section headers
- Dashes (-) for bullet points
- Blank lines between sections
Here are the merged PRs:
PROMPT_HEADER
cat "$input_file" >> "$prompt_file"
echo "" >> "$prompt_file"
echo "Generate the synopsis now:" >> "$prompt_file"
# Use Claude CLI to generate the synopsis (read from stdin)
cat "$prompt_file" | claude --print > "$output_file"
rm -f "$prompt_file"
echo "Synopsis generated at: $output_file"
}
# Create email in Mac Mail
create_email() {
local synopsis_file="$1"
local since_date="$2"
local subject="Eagle0 Weekly Changelog - $(date +%Y-%m-%d)"
echo "Creating email draft in Mac Mail..."
osascript <<EOF
set textContent to read POSIX file "$synopsis_file" as «class utf8»
tell application "Mail"
set newMessage to make new outgoing message with properties {subject:"$subject", content:textContent, visible:true}
activate
end tell
EOF
echo "Email draft created"
}
# 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 "$TAG_NAME"
echo "Tag updated to current HEAD"
}
# Main
main() {
echo "=== Eagle0 Weekly Changelog Generator ==="
echo ""
# Get cutoff date
local cutoff_date=$(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_$(date +%s).txt"
# Fetch PRs
if ! fetch_merged_prs "$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 "$synopsis_file"
echo ""
echo "=== DRY RUN - Skipping email creation and tag update ==="
else
# Create email
create_email "$synopsis_file" "$cutoff_date"
# Update tag for next run
update_tag
fi
echo ""
echo "Done!"
echo "PR details: $pr_file"
echo "Synopsis: $synopsis_file"
}
main
-30
View File
@@ -1,30 +0,0 @@
#!/bin/zsh
echo "***"
echo "*** Moving files to workspace"
mv /Users/dancrosby/NewInvokeAI/outputs/images/*.png /Users/dancrosby/Downloads/new_heroes/
echo "***"
echo "*** Renaming files"
bazel run src/main/go/net/eagle0/util/hero_generation/pngorganizer -- /Users/dancrosby/Downloads/new_heroes/
# echo "***"
# echo "*** Moving files to generated"
# mv /Users/dancrosby/Downloads/new_heroes/generated/*.png /Users/dancrosby/Documents/headshots/generated
# echo "***"
# echo "*** Syncing to server"
# ./scripts/sync_headshots.sh
# echo "***"
# echo "*** Checking which new heroes have images and adjusting TSVs"
# bazel run //src/main/go/net/eagle0/util/hero_generation/imagechecker -- /Users/dancrosby/CodingProjects/github/eagle0/src/main/resources/net/eagle0/eagle/waiting_headshots_heroes.herodata /Users/dancrosby/CodingProjects/github/eagle0/src/main/resources/net/eagle0/eagle/generated_heroes.tsv /Users/dancrosby/Documents/headshots/
# echo "***"
# echo "*** Deduplicate names"
# bazel run //src/main/go/net/eagle0/util/hero_generation/namededuplicator /Users/dancrosby/CodingProjects/github/eagle0/src/main/resources/net/eagle0/eagle/generated_heroes.tsv
# rm src/main/resources/net/eagle0/eagle/generated_heroes.tsv.backup
# echo "***"
# echo "*** Generating new SD prompts"
# bazel run src/main/go/net/eagle0/util/hero_generation/heroformatter ${PWD}/src/main/resources/net/eagle0/eagle/waiting_headshots_heroes.herodata ~/samplelines.txt
-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
+7 -7
View File
@@ -22,6 +22,13 @@ cc_library(
visibility = ["//visibility:public"],
)
cc_library(
name = "container_utils",
hdrs = ["ContainerUtils.hpp"],
copts = COPTS,
visibility = ["//visibility:public"],
)
cc_library(
name = "filesystem_utils",
srcs = ["FilesystemUtils.cpp"],
@@ -88,13 +95,6 @@ cc_library(
],
)
cc_library(
name = "thread_pool",
hdrs = ["ThreadPool.hpp"],
copts = COPTS,
visibility = ["//visibility:public"],
)
cc_library(
name = "time_utils",
hdrs = ["TimeUtils.hpp"],
+5 -36
View File
@@ -7,43 +7,12 @@
#include <cstdint>
// FNV-1a 64-bit constants
constexpr uint64_t FNV_PRIME = 0x00000100000001B3ULL;
constexpr uint64_t FNV_OFFSET_BASIS = 0xcbf29ce484222325ULL;
constexpr int64_t FNV_PRIME = 0x100000001b3;
constexpr int64_t FNV_OFFSET_BASIS = 0xcbf29ce484222325;
// FNV-1a algorithm: XOR first, then multiply
static inline auto MixIn(uint64_t& hash, const uint8_t byte) {
hash ^= byte;
hash *= FNV_PRIME;
}
// 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;
}
// Process remaining bytes
while (data < end) {
hash ^= static_cast<uint64_t>(*data);
hash *= FNV_PRIME;
data++;
}
return hash;
static inline auto MixIn(int64_t& hash, const uint8_t byte) {
hash = hash * FNV_PRIME;
hash = hash ^ byte;
}
#endif // EAGLE0_BYTEHASHER_HPP
@@ -0,0 +1,173 @@
//
// Created by Dan Crosby on 12/25/20.
//
#ifndef EAGLE0_CONTAINERUTILS_HPP
#define EAGLE0_CONTAINERUTILS_HPP
#include <algorithm>
#include <functional>
#include <optional>
namespace common {
using std::allocator;
using std::back_inserter;
using std::begin;
using std::copy_if;
using std::count_if;
using std::end;
using std::find;
using std::find_if;
using std::function;
using std::optional;
using std::remove_if;
using std::vector;
template<class T, class Container>
auto Contains(const Container& container, const T& elt) -> bool {
return find(begin(container), end(container), elt) != end(container);
}
template<class Container, class Func>
auto CountIf(const Container& container, Func fn) -> size_t {
Container result{};
return count_if(begin(container), end(container), fn);
}
template<class Container, class Func>
void FilterInPlace(Container& container, Func fn) {
container.erase(
remove_if(begin(container), end(container), [fn](const auto& elt) { return !fn(elt); }),
end(container));
}
template<class Container, class Func>
auto Filtered(const Container& container, Func fn) -> Container {
Container result{};
copy_if(begin(container), end(container), back_inserter(result), fn);
return result;
}
template<class Container, class Func>
auto FilteredToVector(const Container& container, Func fn) -> decltype(auto) {
typedef typename Container::value_type value_type;
vector<value_type> result{};
copy_if(begin(container), end(container), back_inserter(result), fn);
return result;
}
template<typename Container, typename Func>
auto FindIf(const Container& container, Func fn) -> optional<typename Container::value_type> {
const auto& t = find_if(begin(container), end(container), fn);
if (t == end(container)) {
return {};
} else {
return optional<typename Container::value_type>(*t);
}
}
template<typename Container, typename Func>
auto ContainsWhere(const Container& container, Func fn) -> bool {
return find_if(begin(container), end(container), fn) != end(container);
}
template<
template<typename, typename>
class TwoTypeContainer,
typename T,
typename Allocator = allocator<T>,
typename Func>
auto Map(const TwoTypeContainer<T, Allocator>& input, Func fn) -> decltype(auto) {
typedef typename decltype(function(fn))::result_type result_type;
TwoTypeContainer<result_type, allocator<result_type>> result{};
result.reserve(input.size());
transform(begin(input), end(input), back_inserter(result), fn);
return result;
}
template<template<typename> class OneTypeContainer, typename T, typename Func>
auto Map(const OneTypeContainer<T>& input, Func fn) -> decltype(auto) {
typedef typename decltype(function(fn))::result_type result_type;
OneTypeContainer<result_type> result{};
result.reserve(input.size());
transform(begin(input), end(input), back_inserter(result), fn);
return result;
}
template<typename Container, typename Func>
auto MapToVector(const Container& input, Func fn) -> decltype(auto) {
typedef typename decltype(function(fn))::result_type result_type;
vector<result_type> result{};
transform(begin(input), end(input), back_inserter(result), fn);
return result;
}
template<
template<typename, typename>
class TwoTypeContainer,
typename T,
typename Allocator = allocator<T>,
typename Func>
auto FlatMap(const TwoTypeContainer<T, Allocator>& input, Func fn) -> decltype(auto) {
typedef typename decltype(function(fn))::result_type::value_type result_value_type;
TwoTypeContainer<result_value_type, allocator<result_value_type>> result{};
for (const auto& elt : input) {
const auto& outContainer = fn(elt);
for (const auto& outElt : outContainer) { result.push_back(outElt); }
}
return result;
}
template<template<typename> class OneTypeContainer, typename T, typename Func>
auto FlatMap(const OneTypeContainer<T>& input, Func fn) -> decltype(auto) {
typedef typename decltype(function(fn))::result_type::value_type result_value_type;
OneTypeContainer<result_value_type> result{};
for (const auto& elt : input) {
const auto& outContainer = fn(elt);
for (const auto& outElt : outContainer) { result.push_back(outElt); }
}
return result;
}
template<typename Container, typename Func>
auto FlatMapToVector(const Container& input, Func fn) -> decltype(auto) {
typedef typename decltype(function(fn))::result_type::value_type value_type;
vector<value_type> result{};
for (const auto& elt : input) {
const auto& outContainer = fn(elt);
for (const auto& outElt : outContainer) { result.push_back(outElt); }
}
return result;
}
template<typename Container>
auto ToVector(const Container& input) -> decltype(auto) {
typedef typename Container::value_type value_type;
return vector<value_type>(begin(input), end(input));
}
template<typename C1, typename C2>
auto Append(C1& recipient, const C2& newItems) -> C1& {
recipient.insert(end(recipient), begin(newItems), end(newItems));
return recipient;
}
} // namespace common
#endif // EAGLE0_CONTAINERUTILS_HPP
@@ -30,7 +30,7 @@ auto rloc(const string& execPath) -> string {
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
}
@@ -67,9 +67,9 @@ auto FilesystemUtils::MapFilesDirectory() -> string {
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 {
@@ -129,11 +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;
}
@@ -145,7 +145,7 @@ auto FilesystemUtils::LoadFromPath(const string& path) -> byte_vector {
const std::streamsize size = inputFileStream.tellg();
inputFileStream.seekg(0, std::ios::beg);
auto bv = byte_vector(static_cast<size_t>(size));
auto bv = byte_vector(size);
inputFileStream.read((char*)bv.data(), size);
return bv;
@@ -84,9 +84,7 @@ auto RandomGenerator::ChanceOpenEndedPercentileAtOrAbove(const double value) ->
auto StdLibraryGenerator::DoubleZeroToOne() -> double { return unifDouble(engine); }
StdLibraryGenerator::StdLibraryGenerator() : RandomGenerator() {
engine.seed(static_cast<std::mt19937_64::result_type>(std::time(nullptr)));
}
StdLibraryGenerator::StdLibraryGenerator() : RandomGenerator() { engine.seed(std::time(nullptr)); }
auto StdLibraryGenerator::IntBetween(const int min, const int max) -> int {
std::uniform_int_distribution<int> unifInt(min, max - 1);
@@ -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;
@@ -1,14 +0,0 @@
//
// ThreadPool.cpp - Implementation of priority-based thread pool
//
#include "ThreadPool.hpp"
namespace eagle0 {
namespace common {
// Implementation is header-only to support templates
// This file exists for potential future non-template implementations
} // namespace common
} // namespace eagle0
@@ -1,200 +0,0 @@
//
// ThreadPool.hpp - Priority-based thread pool with deadline support
//
#ifndef EAGLE0_THREADPOOL_HPP
#define EAGLE0_THREADPOOL_HPP
#include <atomic>
#include <chrono>
#include <condition_variable>
#include <functional>
#include <future>
#include <memory>
#include <mutex>
#include <queue>
#include <thread>
#include <vector>
namespace eagle0::common {
enum class TaskStatus { SUCCESS = 0, DEADLINE_EXCEEDED = 1, CANCELLED = 2 };
template<typename T>
struct TaskResult {
T value;
TaskStatus status;
TaskResult() : value{}, status(TaskStatus::SUCCESS) {}
TaskResult(T val) : value(std::move(val)), status(TaskStatus::SUCCESS) {}
TaskResult(T val, TaskStatus stat) : value(std::move(val)), status(stat) {}
// NO implicit conversion - this was causing infinite recursion
// Use .value or .get() instead
T get() const { return value; }
bool succeeded() const { return status == TaskStatus::SUCCESS; }
bool deadlineExceeded() const { return status == TaskStatus::DEADLINE_EXCEEDED; }
};
class ThreadPool {
public:
using Clock = std::chrono::steady_clock;
using TimePoint = Clock::time_point;
private:
struct Task {
std::function<void()> function;
int priority;
TimePoint deadline;
bool has_deadline;
Task(std::function<void()> f, int p, TimePoint d, bool has_d)
: function(std::move(f)),
priority(p),
deadline(d),
has_deadline(has_d) {}
// Higher priority values and earlier deadlines have higher priority
bool operator<(const Task& other) const {
if (priority != other.priority) {
return priority < other.priority; // Lower priority values have lower priority in
// priority_queue
}
if (has_deadline && other.has_deadline) {
return deadline > other.deadline; // Later deadlines have lower priority
}
if (has_deadline && !other.has_deadline) {
return false; // Tasks with deadlines have higher priority
}
if (!has_deadline && other.has_deadline) {
return true; // Tasks without deadlines have lower priority
}
return false; // Equal priority, no preference
}
};
std::vector<std::thread> workers;
std::priority_queue<Task> tasks;
std::mutex queue_mutex;
std::condition_variable condition;
std::atomic<bool> stop{false};
public:
explicit ThreadPool(size_t num_threads = std::thread::hardware_concurrency()) {
for (size_t i = 0; i < num_threads; ++i) {
workers.emplace_back([this] {
while (true) {
Task task{nullptr, 0, TimePoint{}, false};
{
std::unique_lock<std::mutex> lock(queue_mutex);
condition.wait(lock, [this] { return stop.load() || !tasks.empty(); });
if (stop.load() && tasks.empty()) { return; }
if (!tasks.empty()) {
task = std::move(const_cast<Task&>(tasks.top()));
tasks.pop();
} else {
continue;
}
}
// Execute the task (deadline checking is now handled inside the task)
if (task.function) { task.function(); }
}
});
}
}
// Enqueue a task with priority only
template<class F, class... Args>
auto enqueue(F&& f, Args&&... args, int priority = 0)
-> std::future<TaskResult<std::invoke_result_t<F, Args...>>> {
using return_type = std::invoke_result_t<F, Args...>;
using result_type = TaskResult<return_type>;
auto actualTask = std::bind(std::forward<F>(f), std::forward<Args>(args)...);
auto task = std::make_shared<std::packaged_task<result_type()>>(
[actualTask = std::move(actualTask)]() mutable -> result_type {
return result_type(actualTask());
});
std::future<result_type> result = task->get_future();
{
std::unique_lock<std::mutex> lock(queue_mutex);
if (stop.load()) { throw std::runtime_error("enqueue on stopped ThreadPool"); }
tasks.emplace([task]() { (*task)(); }, priority, TimePoint{}, false);
}
condition.notify_one();
return result;
}
// Enqueue a task with priority and deadline
template<class F, class... Args>
auto enqueue_with_deadline(F&& f, Args&&... args, int priority, TimePoint deadline)
-> std::future<TaskResult<std::invoke_result_t<F, Args...>>> {
using return_type = std::invoke_result_t<F, Args...>;
using result_type = TaskResult<return_type>;
auto actualTask = std::bind(std::forward<F>(f), std::forward<Args>(args)...);
auto task = std::make_shared<std::packaged_task<result_type()>>(
[actualTask = std::move(actualTask), deadline]() mutable -> result_type {
if (Clock::now() > deadline) {
return result_type(return_type{}, TaskStatus::DEADLINE_EXCEEDED);
}
return result_type(actualTask());
});
std::future<result_type> result = task->get_future();
{
std::unique_lock<std::mutex> lock(queue_mutex);
if (stop.load()) { throw std::runtime_error("enqueue on stopped ThreadPool"); }
tasks.emplace([task]() { (*task)(); }, priority, deadline, true);
}
condition.notify_one();
return result;
}
// Get current queue size (approximate, for monitoring)
size_t queue_size() const {
std::unique_lock<std::mutex> lock(const_cast<std::mutex&>(queue_mutex));
return tasks.size();
}
// Get detailed queue information for debugging
void debug_queue_state() const {
std::unique_lock<std::mutex> lock(const_cast<std::mutex&>(queue_mutex));
printf("ThreadPool: Queue size: %zu\n", tasks.size());
if (!tasks.empty()) {
// Create a copy to inspect priorities without modifying queue
auto queue_copy = tasks;
std::vector<int> priorities;
while (!queue_copy.empty()) {
priorities.push_back(queue_copy.top().priority);
queue_copy.pop();
}
printf("ThreadPool: Priorities in queue: ");
for (int p : priorities) { printf("%d ", p); }
printf("\n");
}
}
~ThreadPool() {
stop.store(true);
condition.notify_all();
for (std::thread& worker : workers) {
if (worker.joinable()) { worker.join(); }
}
}
};
} // namespace eagle0::common
#endif // EAGLE0_THREADPOOL_HPP
@@ -8,8 +8,6 @@ namespace shardok {
using Coords = net::eagle0::shardok::storage::fb::Coords;
constexpr double kDefaultMorale = 50.0;
auto ConvertBattalion(const net::eagle0::common::CommonBattalion &battalion) -> Battalion {
Battalion shardokBattalion{};
@@ -17,9 +15,9 @@ auto ConvertBattalion(const net::eagle0::common::CommonBattalion &battalion) ->
shardokBattalion.mutate_size(battalion.size());
shardokBattalion.mutate_type(
static_cast<net::eagle0::shardok::storage::fb::BattalionTypeId>(battalion.type()));
shardokBattalion.mutate_morale(kDefaultMorale);
shardokBattalion.mutate_armament(static_cast<float>(battalion.armament()));
shardokBattalion.mutate_training(static_cast<float>(battalion.training()));
shardokBattalion.mutate_morale(battalion.morale());
shardokBattalion.mutate_armament(battalion.armament());
shardokBattalion.mutate_training(battalion.training());
return shardokBattalion;
}
@@ -39,28 +37,28 @@ auto ConvertHero(const net::eagle0::common::CommonHero &hero) -> Hero {
shardokHero.mutable_control_info().mutate_controlled_unit_id(-1);
shardokHero.mutable_control_info().mutate_controlled_this_round(false);
shardokHero.mutate_strength(static_cast<int8_t>(hero.strength()));
shardokHero.mutate_strength_xp(static_cast<int16_t>(hero.strength_xp()));
shardokHero.mutate_strength(hero.strength());
shardokHero.mutate_strength_xp(hero.strength_xp());
shardokHero.mutate_agility(static_cast<int8_t>(hero.agility()));
shardokHero.mutate_agility_xp(static_cast<int16_t>(hero.agility_xp()));
shardokHero.mutate_agility(hero.agility());
shardokHero.mutate_agility_xp(hero.agility_xp());
shardokHero.mutate_constitution(static_cast<int8_t>(hero.constitution()));
shardokHero.mutate_constitution_xp(static_cast<int16_t>(hero.constitution_xp()));
shardokHero.mutate_constitution(hero.constitution());
shardokHero.mutate_constitution_xp(hero.constitution_xp());
shardokHero.mutate_charisma(static_cast<int8_t>(hero.charisma()));
shardokHero.mutate_charisma_xp(static_cast<int16_t>(hero.charisma_xp()));
shardokHero.mutate_charisma(hero.charisma());
shardokHero.mutate_charisma_xp(hero.charisma_xp());
shardokHero.mutate_wisdom(static_cast<int8_t>(hero.wisdom()));
shardokHero.mutate_wisdom_xp(static_cast<int16_t>(hero.wisdom_xp()));
shardokHero.mutate_wisdom(hero.wisdom());
shardokHero.mutate_wisdom_xp(hero.wisdom_xp());
shardokHero.mutate_integrity(static_cast<int8_t>(hero.integrity()));
shardokHero.mutate_ambition(static_cast<int8_t>(hero.ambition()));
shardokHero.mutate_gregariousness(static_cast<int8_t>(hero.gregariousness()));
shardokHero.mutate_bravery(static_cast<int8_t>(hero.bravery()));
shardokHero.mutate_integrity(hero.integrity());
shardokHero.mutate_ambition(hero.ambition());
shardokHero.mutate_gregariousness(hero.gregariousness());
shardokHero.mutate_bravery(hero.bravery());
shardokHero.mutate_vigor(static_cast<float>(hero.vigor()));
shardokHero.mutate_starting_vigor(static_cast<float>(hero.vigor()));
shardokHero.mutate_vigor(hero.vigor());
shardokHero.mutate_starting_vigor(hero.vigor());
return shardokHero;
}
@@ -72,14 +70,7 @@ auto ConvertUnit(
Unit shardokUnit{};
shardokUnit.mutate_player_id(shardokPlayerId);
// Range check eagle_player_id for int8 conversion
int32_t eagle_id = unit.eagle_player_id();
if (eagle_id < -128 || eagle_id > 127) {
throw std::runtime_error(
"eagle_player_id " + std::to_string(eagle_id) + " out of int8 range");
}
shardokUnit.mutate_eagle_player_id(static_cast<int8_t>(eagle_id));
shardokUnit.mutate_eagle_player_id(unit.eagle_player_id());
shardokUnit.mutate_hidden(false);
shardokUnit.mutate_fortified(false);
if (unit.has_hero()) {
@@ -95,22 +86,19 @@ auto ConvertUnit(
shardokUnit.mutate_stun_rounds_remaining(0);
for (const PlayerId pid : allPlayerIds) {
shardokUnit.mutable_opponent_knowledge()->Mutate(
static_cast<flatbuffers::uoffset_t>(pid),
0);
shardokUnit.mutable_opponent_knowledge()->Mutate(pid, 0);
}
shardokUnit.mutate_has_moved_in_zoc(false);
shardokUnit.mutate_targeted_unit(-1);
shardokUnit.mutate_volleys_remaining(0);
shardokUnit.mutate_food_remaining(static_cast<float>(unit.food()));
shardokUnit.mutate_food_remaining(unit.food());
shardokUnit.mutate_can_flee(unit.can_flee());
shardokUnit.mutate_can_archery(unit.can_archery());
shardokUnit.mutate_can_start_fire(unit.can_start_fire());
if (unit.has_starting_position_index()) {
shardokUnit.mutate_starting_position_index(
static_cast<int8_t>(unit.starting_position_index().value()));
shardokUnit.mutate_starting_position_index(unit.starting_position_index().value());
} else {
shardokUnit.mutate_starting_position_index(-1);
}
@@ -9,10 +9,7 @@
#include "src/main/cpp/net/eagle0/shardok/library/ShardokCTypes.h"
#include "src/main/flatbuffer/net/eagle0/shardok/storage/unit.hpp"
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wdeprecated-redundant-constexpr-static-def"
#include "src/main/protobuf/net/eagle0/common/common_unit.pb.h"
#pragma GCC diagnostic pop
namespace shardok {
@@ -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
+2 -1
View File
@@ -51,7 +51,8 @@ cc_binary(
deps = [
"//src/main/cpp/net/eagle0/common:byte_vector",
"//src/main/cpp/net/eagle0/common:filesystem_utils",
"//src/main/cpp/net/eagle0/shardok/library:game_state_w",
"//src/main/cpp/net/eagle0/shardok/library/fb_helpers:flatbuffer_wrapper",
"//src/main/flatbuffer/net/eagle0/shardok/storage:game_state_cc_fbs",
"//src/main/protobuf/net/eagle0/common:shardok_internal_interface_cc_grpc",
],
)
@@ -3,10 +3,13 @@
//
#include "src/main/cpp/net/eagle0/common/byte_vector.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/GameStateW.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/fb_helpers/FlatbufferWrapper.hpp"
#include "src/main/flatbuffer/net/eagle0/shardok/storage/game_state.hpp"
#include "src/main/protobuf/net/eagle0/common/shardok_internal_interface.pb.h"
#include "src/main/protobuf/net/eagle0/shardok/storage/game.pb.h"
using GameStateW = shardok::Wrapper<net::eagle0::shardok::storage::fb::GameState>;
auto main(int argc, char** argv) -> int {
char* path = argv[1];
@@ -24,8 +27,8 @@ auto main(int argc, char** argv) -> int {
printf("There are %d results\n", arCount);
for (int arIndex = 0; arIndex < arCount; arIndex++) {
shardok::GameStateW gameState =
shardok::GameStateW::FromByteString(game.action_result(arIndex).state_after_fb());
GameStateW gameState =
GameStateW::FromByteString(game.action_result(arIndex).state_after_fb());
const auto* hexMap = gameState->hex_map();
for (int terrainIndex = 0; terrainIndex < hexMap->terrain()->size(); terrainIndex++) {
@@ -36,7 +36,7 @@ auto CalculateMap(
.name = mapName,
.positionsRequiringCrossing = {}};
for (unsigned int i = 0; i < hexMap->attacker_starting_positions()->size(); i++) {
for (int i = 0; i < hexMap->attacker_starting_positions()->size(); i++) {
const auto* positionList = hexMap->attacker_starting_positions()->Get(i);
if (positionList->positions()->size() < 1) continue;
if (positionList->positions()->size() != 10) {
@@ -5,9 +5,7 @@
#ifndef EAGLE0_MAPINFOCALCULATOR_HPP
#define EAGLE0_MAPINFOCALCULATOR_HPP
#include <cstdint>
#include <map>
#include <memory>
#include <string>
#include "src/main/cpp/net/eagle0/shardok/library/action_point_distances/ActionPointDistancesCache.hpp"
@@ -3,7 +3,6 @@
//
#include <iostream>
#include <memory>
#include "MapInfoCalculator.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/settings/GameSettings.hpp"
@@ -53,7 +52,7 @@ auto main(const int argc, char** argv) -> int {
outputStream << " \"positions\": {";
bool firstPosition = true;
for (const auto& [position, count] : mapInfo.positionsRequiringCrossing) {
for (const auto& kv : mapInfo.positionsRequiringCrossing) {
if (firstPosition) {
outputStream << endl;
firstPosition = false;
@@ -61,7 +60,7 @@ auto main(const int argc, char** argv) -> int {
outputStream << "," << endl;
}
outputStream << " \"" << position << "\": " << count;
outputStream << " \"" << kv.first << "\": " << kv.second;
}
outputStream << endl << " }" << endl << " }";
}
@@ -4,11 +4,7 @@
#include "AIAttackGroups.hpp"
#include <cstdlib>
#include <iterator>
#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 {
@@ -16,9 +12,6 @@ namespace shardok {
constexpr double kOverpowerRatio = 2.0;
constexpr double kBraveWaterCostMultiplier = 1.2;
using std::pair;
using std::shared_ptr;
DIST_T NormalizedCostWhenBraving(const DIST_T cost) {
if (cost >= static_cast<double>(ActionPointDistances::IMPOSSIBLE) / kBraveWaterCostMultiplier)
return ActionPointDistances::IMPOSSIBLE;
@@ -36,13 +29,13 @@ struct TargetAndDistance {
: target(t),
attackLocations(al),
targetPower(tp),
distance(d) {}
distance(d){};
};
auto MinDistance(
const Coords& start,
const CoordsSet& destinations,
const ActionPointDistances* apd) -> DIST_T {
const std::shared_ptr<ActionPointDistances>& apd) -> DIST_T {
DIST_T minDistance = ActionPointDistances::IMPOSSIBLE;
for (const Coords& dest : destinations) {
@@ -57,8 +50,8 @@ auto MinDistance(
auto MinDistanceIncludingBraving(
const Coords& start,
const CoordsSet& destinations,
const ActionPointDistances* notBravingApd,
const ActionPointDistances* bravingApd) {
const std::shared_ptr<ActionPointDistances>& notBravingApd,
const std::shared_ptr<ActionPointDistances>& bravingApd) {
// First try to get there without braving
if (const DIST_T notBravingDistance = MinDistance(start, destinations, notBravingApd);
notBravingDistance < ActionPointDistances::IMPOSSIBLE) {
@@ -75,45 +68,39 @@ 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 auto* notBravingApd = apdCache->GetRaw(map, mapId, battType, false);
const ActionPointDistances* bravingApd = nullptr;
const CoordsSet& locations,
const SettingsGetter& settings,
const int braveWaterCost) -> DIST_T {
const auto& battType = settings.GetBattalionType(unit->battalion().type());
const auto& notBravingApd = apdCache->Get(map, mapId, battType, false);
std::shared_ptr<ActionPointDistances> bravingApd = nullptr;
if (battType->allowsBraveWater) {
bravingApd = apdCache->GetRaw(map, mapId, battType, true, braveWaterCost);
bravingApd = apdCache->Get(map, mapId, battType, true, braveWaterCost);
}
return MinDistanceIncludingBraving(unit->location(), locations, notBravingApd, bravingApd);
}
auto EffectiveDistance(
const Unit* unit,
const ActionPointDistances* notBravingApd,
const ActionPointDistances* bravingApd,
const CoordsSet& locations) -> DIST_T {
return MinDistanceIncludingBraving(unit->location(), locations, notBravingApd, bravingApd);
}
auto Power(const Unit* unit) -> double { return unit->battalion().size(); }
auto CoordsIndex(const Coords& coords, const int columnCount) {
@@ -129,12 +116,12 @@ 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());
@@ -143,11 +130,11 @@ auto GenerateTargetPriorities(
vector<const Unit*> sortedAttackers = remainingUnits;
// Handle stronger units first
std::ranges::sort(sortedAttackers, [](const Unit* left, const Unit* right) {
return Power(left) > Power(right);
});
std::sort(
begin(sortedAttackers),
end(sortedAttackers),
[](const Unit* left, const Unit* right) { return Power(left) > Power(right); });
// APDCache now has built-in thread-local caching - no need for local apdByBattType map
// For each unit, sort the targets by distance from the unit to an attack location for the
// target
for (const Unit* unit : sortedAttackers) {
@@ -157,14 +144,6 @@ 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* notBravingApd = apdCache->GetRaw(map, mapId, battType, false);
const ActionPointDistances* bravingApd = nullptr;
if (battType->allowsBraveWater) {
bravingApd = apdCache->GetRaw(map, mapId, battType, true, braveWaterCost);
}
for (const Coords& targetLocation : targets) {
const auto coordsIndex = CoordsIndex(targetLocation, cc);
const auto& occupant = occupants[coordsIndex];
@@ -175,13 +154,18 @@ auto GenerateTargetPriorities(
double occupantPower = Power(occupant);
if (unit->location().row() >= 0) {
const auto& attackLocsForUnit = attackLocations.LocationsWithEnemyInRange(unit);
auto distance =
EffectiveDistance(unit, notBravingApd, bravingApd, attackLocsForUnit);
auto distance = EffectiveDistance(
unit,
map,
mapId,
apdCache,
attackLocations,
settings,
braveWaterCost);
targetsWithDistance.emplace_back(
targetLocation,
attackLocsForUnit,
attackLocations.LocationsWithEnemyInRange(unit),
occupantPower,
distance);
} else {
@@ -195,8 +179,9 @@ auto GenerateTargetPriorities(
}
// Sort by distance
std::ranges::sort(
targetsWithDistance,
std::sort(
begin(targetsWithDistance),
end(targetsWithDistance),
[&powerAttackingEachTarget,
cc](const TargetAndDistance& left, const TargetAndDistance& right) {
const auto leftIndex = CoordsIndex(left.target, cc);
@@ -221,15 +206,11 @@ auto GenerateTargetPriorities(
Power(unit);
}
tpl.priorityOrder.reserve(targetsWithDistance.size());
std::ranges::transform(
targetsWithDistance,
std::back_inserter(tpl.priorityOrder),
[](const TargetAndDistance& tad) {
return TargetAndAttackLocations{
.target = tad.target,
.attackLocations = tad.attackLocations};
});
tpl.priorityOrder = common::Map(targetsWithDistance, [](const TargetAndDistance& tad) {
return TargetAndAttackLocations{
.target = tad.target,
.attackLocations = tad.attackLocations};
});
}
return allTargetsUnitsAndDistances;
@@ -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;
@@ -43,24 +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;
auto EffectiveDistance(
const Unit* unit,
const ActionPointDistances* notBravingApd,
const ActionPointDistances* bravingApd,
const CoordsSet& locations) -> DIST_T;
const CoordsSet& locations,
const SettingsGetter& settings,
int braveWaterCost) -> DIST_T;
// Chooses a list of targets in priority order for each unit.
auto GenerateTargetPriorities(
@@ -71,8 +65,8 @@ 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
@@ -4,8 +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"
@@ -13,23 +11,21 @@ namespace shardok {
using Unit = net::eagle0::shardok::storage::fb::Unit;
// Combat success threshold below which we should consider fleeing
// This replaces the simple troop ratio check with sophisticated probability estimation
constexpr double FLEE_CONSIDERATION_THRESHOLD = 0.25;
constexpr double MAXIMUM_RATIO_FOR_ATTACKER_TO_FLEE = 0.50;
auto AIAttackerStrategySelector::BestAttackerStrategy(
const PlayerId attackerPid,
const GameStateW& gameState,
const net::eagle0::shardok::storage::fb::GameState* 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;
int attackerTroops = 0;
int defenderTroops = 0;
bool canFlee = false;
vector<const Unit*> attackerUnits{};
@@ -44,6 +40,8 @@ auto AIAttackerStrategySelector::BestAttackerStrategy(
if (pi != nullptr) {
if (pi->is_defender()) {
if (unit->location().row() >= 0) {
defenderTroops += unit->battalion().size();
if (criticalTileCoords.Contains(unit->location())) {
++defenderOccupiedCriticalTileCount;
}
@@ -52,6 +50,7 @@ auto AIAttackerStrategySelector::BestAttackerStrategy(
}
} else if (unit->player_id() == attackerPid) {
++attackerUnitCount;
attackerTroops += unit->battalion().size();
if (unit->can_flee()) canFlee = true;
attackerUnits.push_back(unit);
} else {
@@ -61,19 +60,11 @@ auto AIAttackerStrategySelector::BestAttackerStrategy(
}
AIStrategy chosenStrategy;
// Use sophisticated combat success estimation instead of simple troop ratio
if (canFlee && AIFleeDecisionCalculator::ShouldConsiderFleeing(
attackerPid,
gameState,
maxRounds,
FLEE_CONSIDERATION_THRESHOLD)) {
if (canFlee && attackerTroops < MAXIMUM_RATIO_FOR_ATTACKER_TO_FLEE * defenderTroops) {
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 +79,8 @@ 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 +96,8 @@ auto AIAttackerStrategySelector::BestAttackerStrategy(
attackerUnits,
apdCache,
alCache,
battalionTypeGetter,
braveWaterCost));
ActionPointDistancesCache::GetMapId(gameState->hex_map()),
settings));
} else {
chosenStrategy = HoldCastlesStrategy;
}
@@ -6,29 +6,26 @@
#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"
#include "src/main/flatbuffer/net/eagle0/shardok/storage/game_state.hpp"
namespace shardok {
using GameState = net::eagle0::shardok::storage::fb::GameState;
class AIAttackerStrategySelector {
public:
static auto BestAttackerStrategy(
PlayerId attackerPid,
const GameStateW& gameState,
const GameState* 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
@@ -1,605 +0,0 @@
//
// Filter obviously bad commands for performance
//
#include "AICommandFilter.hpp"
#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"
namespace shardok {
using fb::Unit;
using net::eagle0::shardok::common::CommandType;
CoordsSet AICommandFilter::BuildEnemyLocations(const GameStateW& gameState, PlayerId pid) {
CoordsSet enemyLocations(gameState->hex_map());
const auto* units = gameState->units();
for (size_t i = 0; i < units->size(); ++i) {
const auto* unit = units->Get(static_cast<unsigned int>(i));
if (unit->status() == net::eagle0::shardok::storage::fb::UnitStatus_NORMAL_UNIT &&
unit->player_id() != pid && !unit->hidden() && unit->location().column() != -1) {
enemyLocations.Add(unit->location());
}
}
return enemyLocations;
}
std::vector<size_t> AICommandFilter::FilterCommands(
const CommandListSPtr& commands,
PlayerId pid,
bool isDefender,
const GameStateW& gameState,
const APDCache& apdCache,
const BattalionTypeGetter& battalionTypeGetter) {
std::vector<size_t> filteredIndices;
filteredIndices.reserve(commands->size());
// Build enemy and castle locations once for efficiency
const CoordsSet enemyLocations = BuildEnemyLocations(gameState, pid);
const CoordsSet castleLocations = AllCastleCoords(gameState->hex_map());
// Calculate minimum distance to enemies once for all filters
const double minDistToEnemies = MinDistanceToEnemyUnits(gameState, pid, enemyLocations);
for (size_t i = 0; i < commands->size(); ++i) {
const auto& cmd = (*commands)[i];
// Always allow END_TURN commands
if (cmd->GetCommandType() == CommandType::END_TURN_COMMAND) {
filteredIndices.push_back(i);
continue;
}
// Filter obviously bad moves
bool shouldFilter = false;
// Check spell preparation waste
if (IsWastefulAction(
*cmd,
pid,
isDefender,
gameState,
apdCache,
battalionTypeGetter,
enemyLocations,
castleLocations,
minDistToEnemies)) {
shouldFilter = true;
}
// Check movement waste
if (!shouldFilter && IsWastefulMovement(
*cmd,
pid,
isDefender,
gameState,
apdCache,
battalionTypeGetter,
enemyLocations,
minDistToEnemies)) {
shouldFilter = true;
}
// Check strategic blunders
if (!shouldFilter && IsStrategicBlunder(
*cmd,
pid,
isDefender,
gameState,
apdCache,
battalionTypeGetter,
minDistToEnemies)) {
shouldFilter = true;
}
if (!shouldFilter) { filteredIndices.push_back(i); }
}
return filteredIndices;
}
bool AICommandFilter::IsWastefulAction(
const ShardokCommand& cmd,
PlayerId pid,
bool isDefender,
const GameStateW& gameState,
const APDCache& apdCache,
const BattalionTypeGetter& battalionTypeGetter,
const CoordsSet& enemyLocations,
const CoordsSet& castleLocations,
double minDistToEnemies) {
// Handle different spell types
switch (cmd.GetCommandType()) {
case CommandType::METEOR_START_COMMAND: {
// Meteor preparation filtering
// Meteor takes 3 rounds (start -> target -> cast) and locks the mage in place
// Asymmetric filtering based on attacker vs defender role
if (!isDefender) {
// Attackers: Don't start meteor when too far from enemies OR castles
// Check distance to castles as well since meteor can deny castle access
double minDistToCastles = MinDistanceToCastles(gameState, pid, castleLocations);
// More aggressive filtering for attackers: filter if >4 hexes from targets
// Meteor has range 3, so being >4 hexes from enemies AND castles is wasteful
if (minDistToEnemies > 4.0 && minDistToCastles > 4.0) {
return true; // Too far from enemies and castles, advance first
}
}
// Defenders: Allow meteor in most cases since it's great for area denial
break;
}
case CommandType::START_FIRE_COMMAND: {
// Fire spell filtering - be very restrictive for attackers
// Fire only affects adjacent tiles and lasts multiple rounds
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 Coords fireLocation(
static_cast<int8_t>(targetRow),
static_cast<int8_t>(targetCol));
// Check if any enemy is on the fire location or adjacent to it
bool enemyNearFireLocation = false;
// First check the fire location itself
if (enemyLocations.Contains(fireLocation)) {
enemyNearFireLocation = true;
} else {
// Check adjacent tiles (at most 6 coordinates)
const auto& adjacentCoords =
HexMapUtils::GetAdjacentCoords(gameState->hex_map(), fireLocation);
for (const auto& adjCoord : adjacentCoords) {
if (enemyLocations.Contains(adjCoord)) {
enemyNearFireLocation = true;
break;
}
}
}
if (!enemyNearFireLocation) {
return true; // No enemies on or adjacent to fire location, fire would be
// wasteful
}
}
// Defenders: Allow fire for area denial
break;
}
case CommandType::FORTIFY_COMMAND: {
// Fortify filtering - attackers shouldn't fortify when far from objectives
// Fortify improves defense but also allows an engineer to use a Reduce command next
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");
}
// Get the acting unit directly by ID
const Unit* actingUnit = gameState->units()->Get(unitId);
// verify the unit is still active
if (actingUnit &&
actingUnit->status() !=
net::eagle0::shardok::storage::fb::UnitStatus_NORMAL_UNIT) {
actingUnit = nullptr; // Not a valid unit
}
// Verify it's our unit (not enemy)
if (actingUnit && actingUnit->player_id() != pid) { actingUnit = nullptr; }
if (!actingUnit) {
return true; // Unit not found or belongs to enemy
}
const auto& unitCoords = actingUnit->location();
const Cube unitCube = OffsetToCube(unitCoords);
// Check if within 3 hexes of any enemy
bool nearObjective = false;
for (const auto& enemyCoords : enemyLocations) {
const Cube enemyCube = OffsetToCube(enemyCoords);
if (const int hexDistance = CubeDistance(unitCube, enemyCube);
hexDistance <= 3) {
nearObjective = true;
break;
}
}
// If not near enemies, check if near castles
if (!nearObjective) {
for (const auto& castleCoord : castleLocations) {
const Cube castleCube = OffsetToCube(castleCoord);
const int hexDistance = CubeDistance(unitCube, castleCube);
if (hexDistance <= 3) {
nearObjective = true;
break;
}
}
}
if (!nearObjective) {
return true; // Too far from enemies and castles, fortify is wasteful for
// attacker
}
}
// Defenders: Allow fortify in most cases since it's about holding positions
break;
}
case CommandType::BUILD_BRIDGE_COMMAND:
case CommandType::FREEZE_WATER_COMMAND: {
// Bridge/freeze filtering - only allow if it creates significant tactical shortcuts
// 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 Coords waterLocation(
static_cast<int8_t>(targetRow),
static_cast<int8_t>(targetCol));
// Get the acting unit directly by ID
const Unit* actingUnit = gameState->units()->Get(unitId);
// Verify the unit is still active
if (actingUnit &&
actingUnit->status() != net::eagle0::shardok::storage::fb::UnitStatus_NORMAL_UNIT) {
actingUnit = nullptr; // Not a valid unit or not ours
}
// Verify it's our unit (not enemy)
if (actingUnit && actingUnit->player_id() != pid) { actingUnit = nullptr; }
if (!actingUnit) {
return true; // Unit not found or belongs to enemy
}
// Get action point distances for this unit's battalion type
const auto& battType = battalionTypeGetter(actingUnit->battalion().type());
const auto* apd = apdCache->GetRaw(
gameState->hex_map(),
ActionPointDistancesCache::GetMapId(gameState->hex_map()),
battType,
false);
const auto& casterCoords = actingUnit->location();
// Check if bridge creates significant shortcuts to any tactical objective
bool worthwhileShortcut = false;
// Get tiles on the "other side" of the water (adjacent to bridge location)
const auto& adjacentTiles =
HexMapUtils::GetAdjacentCoords(gameState->hex_map(), waterLocation);
// Check shortcuts to enemies
for (const auto& enemyCoords : enemyLocations) {
const auto currentDistance = apd->Distance(casterCoords, enemyCoords);
if (currentDistance == ActionPointDistances::IMPOSSIBLE) continue;
// Check if going via any adjacent tile creates a shortcut
for (const auto& adjacentCoord : adjacentTiles) {
const auto distanceToAdjacent = apd->Distance(casterCoords, adjacentCoord);
const auto adjacentToObjective = apd->Distance(adjacentCoord, enemyCoords);
if (distanceToAdjacent != ActionPointDistances::IMPOSSIBLE &&
adjacentToObjective != ActionPointDistances::IMPOSSIBLE) {
// New route: caster -> adjacent tile -> objective (plus ~2 for crossing)
const auto newRouteDistance = distanceToAdjacent + adjacentToObjective + 2;
if (currentDistance >= newRouteDistance + 8) { // 8+ action points saved
worthwhileShortcut = true;
break;
}
}
}
if (worthwhileShortcut) break;
}
// Check shortcuts to castles if no enemy shortcut found
if (!worthwhileShortcut) {
for (const auto& castleCoord : castleLocations) {
const auto currentDistance = apd->Distance(casterCoords, castleCoord);
if (currentDistance == ActionPointDistances::IMPOSSIBLE) continue;
// Check if going via any adjacent tile creates a shortcut
for (const auto& adjacentCoord : adjacentTiles) {
const auto distanceToAdjacent = apd->Distance(casterCoords, adjacentCoord);
const auto adjacentToObjective = apd->Distance(adjacentCoord, castleCoord);
if (distanceToAdjacent != ActionPointDistances::IMPOSSIBLE &&
adjacentToObjective != ActionPointDistances::IMPOSSIBLE) {
// New route: caster -> adjacent tile -> objective (plus ~2 for
// crossing)
const auto newRouteDistance =
distanceToAdjacent + adjacentToObjective + 2;
if (currentDistance >=
newRouteDistance + 8) { // 8+ action points saved
worthwhileShortcut = true;
break;
}
}
}
if (worthwhileShortcut) break;
}
}
if (!worthwhileShortcut) {
return true; // No significant shortcut found, filter out this bridge/freeze
}
break;
}
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 Coords repairLocation(
static_cast<int8_t>(targetRow),
static_cast<int8_t>(targetCol));
// Check terrain modifiers at target location
const auto* terrain = GetTerrain(gameState->hex_map(), repairLocation);
const auto& modifier = terrain->modifier();
// Filter based on integrity thresholds
if (modifier.bridge().present()) {
// Bridge integrity filtering: >70% is wasteful
if (modifier.bridge().integrity() > 70.0f) {
return true; // Bridge integrity too high to justify repair
}
} else if (modifier.castle().present()) {
// Castle integrity filtering: >90% is wasteful
if (modifier.castle().integrity() > 90.0f) {
return true; // Castle integrity too high to justify repair
}
}
break;
}
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 Coords fireLocation(
static_cast<int8_t>(targetRow),
static_cast<int8_t>(targetCol));
// Check if any enemy occupies the fire location - let them burn!
std::vector<PlayerId> allyPids; // Empty for now - assume 2-player game
if (gameState.GetKnownEnemyOccupant(pid, allyPids, fireLocation)) {
return true; // Don't extinguish fires under enemies
}
break;
}
default: return false; // Don't filter other spell types for now
}
return false;
}
bool AICommandFilter::IsWastefulMovement(
const ShardokCommand& cmd,
PlayerId pid,
bool isDefender,
const GameStateW& gameState,
const APDCache& apdCache,
const BattalionTypeGetter& battalionTypeGetter,
const CoordsSet& enemyLocations,
double minDistToEnemies) {
if (cmd.GetCommandType() != CommandType::MOVE_COMMAND) { return false; }
// Only filter attacker movement when already fairly far from enemies
if (isDefender || minDistToEnemies <= 6.0) {
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();
// Check if we have the required information
if (unitId < 0 || targetRow < 0 || targetCol < 0) {
throw ShardokInternalErrorException(
"MOVE_COMMAND missing required actor or target information");
}
// Get the acting unit directly by ID
const Unit* actingUnit = gameState->units()->Get(unitId);
// Verify the unit is still active
if (actingUnit &&
actingUnit->status() != net::eagle0::shardok::storage::fb::UnitStatus_NORMAL_UNIT) {
actingUnit = nullptr; // Not a valid unit
}
// Verify it's our unit (not enemy)
if (actingUnit && actingUnit->player_id() != pid) { actingUnit = nullptr; }
if (!actingUnit) {
return false; // Unit not found or belongs to enemy
}
const auto& currentCoords = actingUnit->location();
const Coords targetCoordsFlat(static_cast<int8_t>(targetRow), static_cast<int8_t>(targetCol));
// Get action point distances for this unit's battalion type
const auto& battType = battalionTypeGetter(actingUnit->battalion().type());
const auto* apd = apdCache->GetRaw(
gameState->hex_map(),
ActionPointDistancesCache::GetMapId(gameState->hex_map()),
battType,
false);
// Calculate action point distance from current position to closest enemy
double currentDistToEnemies = std::numeric_limits<double>::max();
double targetDistToEnemies = std::numeric_limits<double>::max();
for (const auto& enemyCoords : enemyLocations) {
const auto currentDist = apd->Distance(currentCoords, enemyCoords);
const auto targetDist = apd->Distance(targetCoordsFlat, enemyCoords);
if (currentDist != ActionPointDistances::IMPOSSIBLE) {
currentDistToEnemies = std::min(currentDistToEnemies, static_cast<double>(currentDist));
}
if (targetDist != ActionPointDistances::IMPOSSIBLE) {
targetDistToEnemies = std::min(targetDistToEnemies, static_cast<double>(targetDist));
}
}
// Filter movement if it takes us significantly farther from all enemies
// Only when we're already far away (>6 hexes as checked above)
if (currentDistToEnemies != std::numeric_limits<double>::max() &&
targetDistToEnemies != std::numeric_limits<double>::max()) {
// Filter if move increases distance to enemies by more than 2 action points
if (targetDistToEnemies > currentDistToEnemies + 2.0) {
return true; // Wasteful move away from enemies when already far
}
}
return false;
}
bool AICommandFilter::IsStrategicBlunder(
const ShardokCommand& /*cmd*/,
PlayerId /*pid*/,
bool /*isDefender*/,
const GameStateW& /*gameState*/,
const APDCache& /*apdCache*/,
const BattalionTypeGetter& /*battalionTypeGetter*/,
double /*minDistToEnemies*/) {
// Simplified strategic blunder detection for now
// TODO: Implement proper castle abandonment detection
// TODO: Use minDistToEnemies for strategic blunder logic
return false;
}
double AICommandFilter::MinDistanceToEnemyUnits(
const GameStateW& gameState,
PlayerId pid,
const CoordsSet& enemyLocations) {
// Calculate minimum distance from any player unit to any enemy unit
double minDistance = std::numeric_limits<double>::max();
const auto* units = gameState->units();
for (size_t i = 0; i < units->size(); ++i) {
const auto* playerUnit = units->Get(static_cast<unsigned int>(i));
if (playerUnit->status() == net::eagle0::shardok::storage::fb::UnitStatus_NORMAL_UNIT &&
playerUnit->player_id() == pid) {
const auto& playerCoords = playerUnit->location();
const Cube playerCube = OffsetToCube(playerCoords);
for (const auto& enemyCoords : enemyLocations) {
const Cube enemyCube = OffsetToCube(enemyCoords);
const int hexDistance = CubeDistance(playerCube, enemyCube);
minDistance = std::min(minDistance, static_cast<double>(hexDistance));
}
}
}
return minDistance == std::numeric_limits<double>::max() ? 0.0 : minDistance;
}
double AICommandFilter::MinDistanceToCastles(
const GameStateW& gameState,
PlayerId pid,
const CoordsSet& castleLocations) {
// Calculate minimum distance from any player unit to any castle
double minDistance = std::numeric_limits<double>::max();
const auto* units = gameState->units();
if (castleLocations.empty()) {
return 0.0; // No castles found
}
// Find minimum hex distance from any player unit to any castle
for (size_t i = 0; i < units->size(); ++i) {
const auto* unit = units->Get(static_cast<unsigned int>(i));
if (unit->status() == net::eagle0::shardok::storage::fb::UnitStatus_NORMAL_UNIT &&
unit->player_id() == pid) {
const auto& unitCoords = unit->location();
const Cube unitCube = OffsetToCube(unitCoords);
for (const auto& castleCoord : castleLocations) {
const Cube castleCube = OffsetToCube(castleCoord);
const int hexDistance = CubeDistance(unitCube, castleCube);
minDistance = std::min(minDistance, static_cast<double>(hexDistance));
}
}
}
return minDistance == std::numeric_limits<double>::max() ? 0.0 : minDistance;
}
bool AICommandFilter::IsPlayerOutnumbered(
const GameStateW& gameState,
PlayerId pid,
double threshold) {
const int playerUnitCount = CountPlayerUnits(gameState, pid);
const int enemyUnitCount = CountPlayerUnits(gameState, 1 - pid); // Assumes 2-player game
if (enemyUnitCount == 0) return false;
const double ratio = static_cast<double>(playerUnitCount) / static_cast<double>(enemyUnitCount);
return ratio < threshold;
}
int AICommandFilter::CountPlayerUnits(const GameStateW& gameState, PlayerId pid) {
int count = 0;
const auto* units = gameState->units();
for (size_t i = 0; i < units->size(); ++i) {
const auto* unit = units->Get(static_cast<unsigned int>(i));
if (unit->status() == net::eagle0::shardok::storage::fb::UnitStatus_NORMAL_UNIT &&
unit->player_id() == pid) {
count++;
}
}
return count;
}
bool AICommandFilter::WouldAbandonCriticalCastle(
const ShardokCommand& /*cmd*/,
PlayerId /*pid*/,
const GameStateW& /*gameState*/) {
// Simplified implementation - return false for now
// TODO: Implement proper castle abandonment detection when API is available
return false;
}
} // namespace shardok
@@ -1,107 +0,0 @@
//
// Filter obviously bad commands to reduce search space for AI
//
#ifndef EAGLE0_AICOMMANDFILTER_HPP
#define EAGLE0_AICOMMANDFILTER_HPP
#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"
namespace shardok {
using GameState = net::eagle0::shardok::storage::fb::GameState;
/**
* Filters obviously bad moves to reduce search space for AI.
* This class implements heuristic filtering to eliminate moves that are
* strategically bad without requiring deep search to identify.
*/
class AICommandFilter {
public:
/**
* Filter a list of commands, removing obviously bad ones.
* @param commands Original list of all available commands
* @param pid Player ID making the move
* @param isDefender True if this player is the defender
* @param gameState Current game state
* @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(
const CommandListSPtr& commands,
PlayerId pid,
bool isDefender,
const GameStateW& gameState,
const APDCache& apdCache,
const BattalionTypeGetter& battalionTypeLookup);
private:
// Helper to build enemy locations once for efficiency
static CoordsSet BuildEnemyLocations(const GameStateW& gameState, PlayerId pid);
// Spell preparation filters
static bool IsWastefulAction(
const ShardokCommand& cmd,
PlayerId pid,
bool isDefender,
const GameStateW& gameState,
const APDCache& apdCache,
const BattalionTypeGetter& battalionTypeLookup,
const CoordsSet& enemyLocations,
const CoordsSet& castleLocations,
double minDistToEnemies);
// Movement filters
static bool IsWastefulMovement(
const ShardokCommand& cmd,
PlayerId pid,
bool isDefender,
const GameStateW& gameState,
const APDCache& apdCache,
const BattalionTypeGetter& battalionTypeLookup,
const CoordsSet& enemyLocations,
double minDistToEnemies);
// Strategic blunder filters
static bool IsStrategicBlunder(
const ShardokCommand& cmd,
PlayerId pid,
bool isDefender,
const GameStateW& gameState,
const APDCache& apdCache,
const BattalionTypeGetter& battalionTypeLookup,
double minDistToEnemies);
// Helper functions for distance and position analysis
static double MinDistanceToEnemyUnits(
const GameStateW& gameState,
PlayerId pid,
const CoordsSet& enemyLocations);
static double MinDistanceToCastles(
const GameStateW& gameState,
PlayerId pid,
const CoordsSet& castleLocations);
static bool IsPlayerOutnumbered(const GameStateW& gameState, PlayerId pid, double threshold);
static int CountPlayerUnits(const GameStateW& gameState, PlayerId pid);
static bool WouldAbandonCriticalCastle(
const ShardokCommand& cmd,
PlayerId pid,
const GameStateW& gameState);
};
} // namespace shardok
#endif // EAGLE0_AICOMMANDFILTER_HPP
@@ -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
@@ -4,13 +4,8 @@
#include "AIDefenderStrategySelector.hpp"
#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 {
@@ -19,11 +14,10 @@ constexpr double MAXIMUM_RATIO_FOR_DEFENDER_TO_FLEE = 0.15;
constexpr double MINIMUM_RATIO_FOR_DEFENDER_TO_HOLD = 0.60;
auto AIDefenderStrategySelector::BestDefenderStrategy(
const GameStateW& gameState,
const GameState* 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 +33,7 @@ auto AIDefenderStrategySelector::BestDefenderStrategy(
player->player_id(),
criticalTileCoords,
apdCache,
battalionTypeGetter);
settings);
attackerUnitIdsRequiringWaterCrossing.insert(
attackerUnitIdsRequiringWaterCrossing.end(),
unitIdsRequiringWaterCrossing.begin(),
@@ -63,9 +57,7 @@ auto AIDefenderStrategySelector::BestDefenderStrategy(
net::eagle0::shardok::storage::fb::BattalionTypeId_UNDEAD) {
++attackerNonUndeadUnitCount;
if (!std::ranges::contains(
attackerUnitIdsRequiringWaterCrossing,
unit->unit_id())) {
if (!common::Contains(attackerUnitIdsRequiringWaterCrossing, unit->unit_id())) {
++attackerNonUndeadUnitNotRequiringWaterCrossingCount;
}
}
@@ -74,7 +66,7 @@ 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 +6,20 @@
#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 {
using GameState = net::eagle0::shardok::storage::fb::GameState;
public:
static auto BestDefenderStrategy(
const GameStateW& gameState,
const GameState* gameState,
const CoordsSet& criticalTileCoords,
int maxRounds,
const APDCache& apdCache,
const BattalionTypeGetter& battalionTypeGetter) -> AIStrategy;
const SettingsGetter& settings) -> AIStrategy;
};
} // namespace shardok
@@ -13,8 +13,8 @@ constexpr double kPerUnitDebufDecay = 0.5;
constexpr double kDecaySum = kPerUnitDebufDecay / (1 - kPerUnitDebufDecay);
auto CostsWithoutAndWithBraving(
const ActionPointDistances *actionPointDistancesWithoutBraving,
const ActionPointDistances *actionPointDistancesWithBraving,
const shared_ptr<ActionPointDistances> &actionPointDistancesWithoutBraving,
const shared_ptr<ActionPointDistances> &actionPointDistancesWithBraving,
const Coords &startLocation,
const CoordsSet &targets,
int &outPointCostWithoutBraving,
@@ -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);
@@ -65,22 +65,22 @@ auto DefenderDistanceBuf(
vector<WithoutAndWith> pointCosts{};
pointCosts.reserve(attackerUnits.size());
vector<const ActionPointDistances *> notBravingDistances(6, nullptr);
vector<const ActionPointDistances *> bravingDistances(6, nullptr);
vector<std::shared_ptr<ActionPointDistances>> notBravingDistances(6);
vector<std::shared_ptr<ActionPointDistances>> bravingDistances(6);
for (const Unit *attacker : attackerUnits) {
const int typeInt = attacker->battalion().type();
if (notBravingDistances[typeInt] == nullptr) {
notBravingDistances[typeInt] = apdCache->GetRaw(
notBravingDistances[typeInt] = apdCache->Get(
hexMap,
mapId,
battalionTypeGetter(attacker->battalion().type()),
settings.GetBattalionType(attacker->battalion().type()),
false);
bravingDistances[typeInt] = apdCache->GetRaw(
bravingDistances[typeInt] = apdCache->Get(
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;
@@ -1,226 +0,0 @@
//
// AIFleeDecisionCalculator.cpp
// eagle0
//
// Handles AI flee decision logic including combat success estimation
// and flee vs fight evaluation for final round scenarios
//
#include "AIFleeDecisionCalculator.hpp"
#include "src/main/cpp/net/eagle0/shardok/ai/AIScoreUtilities.hpp"
#include "src/main/cpp/net/eagle0/shardok/ai/AIUnitScoreCalculator.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/util/HexMapUtils.hpp"
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));
}
auto AIFleeDecisionCalculator::EstimateCombatSuccess(
PlayerId attackerPlayerId,
const GameStateW& gameState,
int maxRounds) -> double {
if (gameState->status() == nullptr ||
gameState->status()->state() !=
net::eagle0::shardok::storage::fb::GameStatus_::State_GAME_RUNNING) {
return 1.0; // we're still in set_up so we can't really evaluate
}
// Combat success estimation based on unit power, heroes, and capture dynamics
double attackerPower = 0.0;
double defenderPower = 0.0;
int attackerTroops = 0; // Still track raw troops for special cases
int defenderTroops = 0;
int attackerUnits = 0;
int defenderUnits = 0;
int attackerHeroes = 0;
int defenderHeroes = 0;
bool defenderHasVips = false;
// Calculate total power and count units/heroes for each side
for (const auto* unit : *gameState->units()) {
if (unit->status() != net::eagle0::shardok::storage::fb::UnitStatus_NORMAL_UNIT) continue;
const auto* pi = PlayerInfoForPid(gameState, unit->player_id());
if (pi == nullptr) continue;
const int unitTroops = unit->battalion().size();
const bool hasHero = unit->has_attached_hero();
const double unitPower = ContextFreeUnitValue(unit);
if (pi->is_defender()) {
defenderPower += unitPower;
defenderTroops += unitTroops;
defenderUnits++;
if (hasHero) {
defenderHeroes++;
if (unit->attached_hero().is_vip()) { defenderHasVips = true; }
}
} else if (unit->player_id() == attackerPlayerId) {
attackerPower += unitPower;
attackerTroops += unitTroops;
attackerUnits++;
if (hasHero) { attackerHeroes++; }
}
}
const int roundsRemaining = maxRounds - gameState->current_round();
// Special case: Attacker has no heroes - automatic loss
if (attackerHeroes == 0) {
return 0.0; // Cannot win without heroes
}
// Special case: Defender has no heroes - automatic win for attacker
if (defenderHeroes == 0) {
return 1.0; // Guaranteed win
}
// Special case: Attacker has no troops (but has heroes)
if (attackerTroops == 0) {
// Very difficult to win with heroes alone
return 0.05; // Extremely low chance
}
// Special case: Defender has no troops but has heroes
if (defenderTroops == 0) {
// Defenders with only heroes are vulnerable to capture
// Only truly difficult if time is extremely limited
if (roundsRemaining <= 1) {
// Last round - very hard to capture all heroes
return 0.3; // Low but not impossible
} else if (roundsRemaining <= 2) {
return 0.6; // Still achievable
} else {
// With 3+ rounds, capturing defenseless heroes is quite feasible
return 0.85; // High probability of success
}
}
// Normal case: Both sides have troops
// Base probability from power ratio (accounts for unit quality, not just quantity)
const double powerRatio = attackerPower / std::max(1.0, defenderPower);
double baseProbability = std::min(0.95, std::max(0.05, powerRatio * 0.5));
// Adjust for time pressure - attackers need to win before time runs out
if (roundsRemaining <= 1) {
baseProbability *= 0.6; // Severe penalty for last round
} else if (roundsRemaining <= 3) {
baseProbability *= 0.8; // Moderate penalty
}
// Adjust for unit count (more units = better tactical flexibility)
const double unitRatio =
static_cast<double>(attackerUnits) / std::max(1.0, static_cast<double>(defenderUnits));
if (unitRatio < 0.5) {
baseProbability *= 0.8;
} else if (unitRatio > 1.5) {
baseProbability *= 1.15;
}
// Adjust for hero presence
if (defenderHeroes > attackerHeroes && defenderHasVips) {
// Defender has more heroes including VIPs - harder to capture
baseProbability *= 0.85;
}
return std::min(0.95, std::max(0.05, baseProbability));
}
auto AIFleeDecisionCalculator::EvaluateFleeVsFight(
PlayerId playerId,
const GameStateW& guessedState,
const CommandListSPtr& availableCommands,
const CommandList::const_iterator& fleeCommand,
int maxRounds,
int minimumFleeOddsThreshold,
int desperateFleeThreshold,
bool enableDebugLogging) -> FleeDecision {
// Get flee success odds
const int fleeSuccessChance = (*fleeCommand)->GetOddsPercentile();
if (enableDebugLogging) {
printf("AI FinalRound: Evaluating flee (odds=%d%%)...\n", fleeSuccessChance);
}
// Check if flee odds are good enough to attempt
if (fleeSuccessChance >= minimumFleeOddsThreshold) {
if (enableDebugLogging) {
printf("AI FinalRound: Good flee odds (%d%% >= %d%%), choosing flee\n",
fleeSuccessChance,
minimumFleeOddsThreshold);
}
return FleeDecision{
true,
GetFleeCommandIndex(fleeCommand, availableCommands),
"Good flee odds"};
}
// Low flee odds - evaluate if fighting might be better
const double combatWinChance = EstimateCombatSuccess(playerId, guessedState, maxRounds);
// If combat situation is hopeless, even bad flee odds are better than certain death
if (combatWinChance <= 0.05 && fleeSuccessChance >= desperateFleeThreshold) {
if (enableDebugLogging) {
printf("AI FinalRound: Combat hopeless (%.1f%%), desperate flee attempt (%d%%)\n",
combatWinChance * 100,
fleeSuccessChance);
}
return FleeDecision{
true,
GetFleeCommandIndex(fleeCommand, availableCommands),
"Combat hopeless, desperate flee"};
}
// Detailed flee vs fight comparison
const double fleeChance = static_cast<double>(fleeSuccessChance) / 100.0;
// Compare expected outcomes:
// - Flee: fleeChance of survival (not victory, but avoiding loss)
// - Fight: combatWinChance of victory (better than survival)
constexpr double FLEE_VS_COMBAT_MARGIN =
0.8; // Require 80% of combat chance to prefer fighting
const double adjustedCombatThreshold = combatWinChance * FLEE_VS_COMBAT_MARGIN;
if (enableDebugLogging) {
printf("AI FinalRound: Flee=%d%%, Combat=%.1f%%, Threshold=%.1f%% -> ",
fleeSuccessChance,
combatWinChance * 100,
adjustedCombatThreshold * 100);
}
if (fleeChance > adjustedCombatThreshold) {
if (enableDebugLogging) { printf("FLEE (better odds)\n"); }
return FleeDecision{
true,
GetFleeCommandIndex(fleeCommand, availableCommands),
"Flee has better expected outcome"};
} else {
if (enableDebugLogging) { printf("FIGHT (better expected outcome)\n"); }
// Return 0 to indicate we should use standard command selection
return FleeDecision{
false,
0, // Will be replaced by StandardChooseCommandIndex
"Fighting has better expected outcome"};
}
}
auto AIFleeDecisionCalculator::ShouldConsiderFleeing(
PlayerId attackerPlayerId,
const GameStateW& guessedState,
int maxRounds,
double fleeConsiderationThreshold) -> bool {
// Get combat success probability
const double combatSuccessChance =
EstimateCombatSuccess(attackerPlayerId, guessedState, maxRounds);
// Consider fleeing if combat success chance is below threshold
return combatSuccessChance < fleeConsiderationThreshold;
}
} // namespace shardok
@@ -1,66 +0,0 @@
//
// AIFleeDecisionCalculator.hpp
// eagle0
//
// Handles AI flee decision logic including combat success estimation
// and flee vs fight evaluation for final round scenarios
//
#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"
namespace shardok {
class AIFleeDecisionCalculator {
public:
// Configuration for flee decision thresholds
struct FleeThresholds {
int minimumFleeOddsThreshold; // Minimum flee success odds to consider fleeing
int desperateFleeThreshold; // Flee threshold when combat is hopeless
};
// Result of flee vs fight evaluation
struct FleeDecision {
bool shouldFlee;
size_t commandIndex; // Index of command to execute (flee or fight)
const char* reasoning; // Debug explanation of decision
};
// Evaluate whether to flee or fight in the final round
[[nodiscard]] static auto EvaluateFleeVsFight(
PlayerId playerId,
const GameStateW& guessedState,
const CommandListSPtr& availableCommands,
const CommandList::const_iterator& fleeCommand,
int maxRounds,
int minimumFleeOddsThreshold,
int desperateFleeThreshold,
bool enableDebugLogging = false) -> FleeDecision;
// Estimate probability of combat success for the attacker
[[nodiscard]] static auto EstimateCombatSuccess(
PlayerId attackerPlayerId,
const GameStateW& guessedState,
int maxRounds) -> 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,
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;
};
} // namespace shardok
#endif /* AIFleeDecisionCalculator_hpp */
@@ -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
@@ -6,7 +6,7 @@
namespace shardok {
auto MinimumDistanceAndTarget(
const ActionPointDistances *apd,
const shared_ptr<ActionPointDistances> &apd,
const Coords &origin,
const CoordsSet &destinations) -> CoordsAndDistance {
CoordsAndDistance min{Coords(-1, -1), ActionPointDistances::IMPOSSIBLE};
@@ -20,7 +20,7 @@ auto MinimumDistanceAndTarget(
}
auto MinimumDistance(
const ActionPointDistances *apd,
const shared_ptr<ActionPointDistances> &apd,
const Coords &origin,
const CoordsSet &destinations) -> int {
return MinimumDistanceAndTarget(apd, origin, destinations).distance;
@@ -23,12 +23,12 @@ struct CoordsAndDistance {
};
auto MinimumDistanceAndTarget(
const ActionPointDistances *apd,
const shared_ptr<ActionPointDistances> &apd,
const Coords &origin,
const CoordsSet &destinations) -> CoordsAndDistance;
auto MinimumDistance(
const ActionPointDistances *apd,
const shared_ptr<ActionPointDistances> &apd,
const Coords &origin,
const CoordsSet &destinations) -> int;
@@ -0,0 +1,904 @@
//
// Created by dancrosby on 3/4/20.
//
#include "AIScoreCalculator.hpp"
#include <future>
#include "src/main/cpp/net/eagle0/common/SequenceRandomGenerator.hpp"
#include "src/main/cpp/net/eagle0/shardok/ai/AIAttackLocations.hpp"
#include "src/main/cpp/net/eagle0/shardok/ai/AIScoreUtilities.hpp"
#include "src/main/cpp/net/eagle0/shardok/ai/AIStrategy.hpp"
#include "src/main/cpp/net/eagle0/shardok/ai/AIUnitScoreCalculator.hpp"
#include "src/main/cpp/net/eagle0/shardok/ai/AIVictoryConditionScoreCalculator.hpp"
#include "src/main/cpp/net/eagle0/shardok/ai/AIWaterCrossingCommandChooser.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/util/HexMapUtils.hpp"
#include "src/main/protobuf/net/eagle0/shardok/api/unit_view.pb.h"
namespace shardok {
#define LOGGING_ 0
#define MULTITHREAD true
constexpr double UNITS_BASE_MULTIPLIER = 0.05;
constexpr double FLEE_UNIT_SCORE = -10000;
constexpr double FLEE_CONTROLLING_UNIT_SCORE = -10000;
constexpr double CAPTURED_UNIT_SCORE = -10000;
constexpr double CAPTURED_VIP_SCORE = -25000;
constexpr double kMaxProximityBuf = 1.5;
constexpr double kDistanceDebufRatio = 8.0;
using std::async;
using std::future;
using flatbuffers::FlatBufferBuilder;
using flatbuffers::Offset;
using net::eagle0::shardok::api::HeroView;
using net::eagle0::shardok::api::UnitView;
using GameState = net::eagle0::shardok::storage::fb::GameState;
using Unit = net::eagle0::shardok::storage::fb::Unit;
static const std::vector<double> _averageSequence = {0.5};
static const auto _averageGenerator = std::make_shared<SequenceRandomGenerator>(_averageSequence);
static inline auto IsLateGame(const GameState *gs) { return gs->current_round() > 18; }
static auto CommandSorter(
const AIScoreCalculator::IndexAndScore &l,
const AIScoreCalculator::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;
}
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;
}
}
static auto RecursiveAttackerMultiplierForTargetDistance(
const Unit *attackingUnit,
vector<TargetAndAttackLocations>::const_iterator &priorityListNext,
const vector<TargetAndAttackLocations>::const_iterator &priorityListEnd,
const vector<const Unit *> &occupants,
const HexMap *map,
const MapId &mapId,
const SettingsGetter &settings,
const ALCache &alCache,
const APDCache &apdCache,
const ActionPoints braveWaterCost,
const bool isLateGame) -> double {
if (priorityListNext == priorityListEnd) return 1.0;
const auto &[target, attackLocations] = *priorityListNext;
const Coords &topPriorityTarget = target;
// If the target is unoccupied or is occupied by this player, give the maximum multiplier, but
// also add the bonus for the next up in the priority list
if (const Unit *occupant = occupants
[topPriorityTarget.row() * map->column_count() + topPriorityTarget.column()];
!occupant || occupant->player_id() == attackingUnit->player_id()) {
return kMaxProximityBuf + RecursiveAttackerMultiplierForTargetDistance(
attackingUnit,
++priorityListNext,
priorityListEnd,
occupants,
map,
mapId,
settings,
alCache,
apdCache,
braveWaterCost,
isLateGame);
}
const DIST_T distance = EffectiveDistance(
attackingUnit,
map,
mapId,
apdCache,
attackLocations,
settings,
braveWaterCost);
return kMaxProximityBuf / (1 + distance / kDistanceDebufRatio);
}
auto AttackerMultiplierForTargetDistance(
const Unit *attackingUnit,
const vector<TargetAndAttackLocations> &priorityList,
const vector<const Unit *> &occupants,
const HexMap *map,
const MapId &mapId,
const SettingsGetter &settings,
const ALCache &alCache,
const APDCache &apdCache,
const ActionPoints braveWaterCost,
const bool isLateGame) -> double {
auto iter = begin(priorityList);
return RecursiveAttackerMultiplierForTargetDistance(
attackingUnit,
iter,
end(priorityList),
occupants,
map,
mapId,
settings,
alCache,
apdCache,
braveWaterCost,
isLateGame);
}
auto AttackerUnitsScore(
const GameState *gameState,
int roundsRemaining,
const SettingsGetter &settings,
bool attackerWantsCastles,
bool defenderShouldScatter,
const vector<TargetPriorityList> &attackerTargetPriorities,
const ALCache &alCache,
const APDCache &apdCache,
const MapId &mapId) -> ScoreValue {
bool isLateGame = IsLateGame(gameState);
std::vector<const Unit *> attackerUnits{};
std::vector<const Unit *> defenderUnits{};
double attackerUnitsValue = 0;
double defenderUnitsValue = 0;
auto occupants = Occupants(
*gameState->units(),
gameState->hex_map()->row_count(),
gameState->hex_map()->column_count());
ActionPoints braveWaterCost = settings.Backing().brave_water_action_point_cost();
for (const Unit *unit : *gameState->units()) {
const auto *pi = PlayerInfoForPid(gameState, unit->player_id());
if (pi == nullptr) continue;
switch (unit->status()) {
case net::eagle0::shardok::storage::fb::UnitStatus_NORMAL_UNIT: {
if (pi->is_defender()) {
defenderUnits.push_back(unit);
} else {
attackerUnits.push_back(unit);
}
break;
}
case net::eagle0::shardok::storage::fb::UnitStatus_CAPTURED_UNIT: {
double thisScore = (unit->has_attached_hero() && unit->attached_hero().is_vip())
? CAPTURED_VIP_SCORE
: CAPTURED_UNIT_SCORE;
if (pi->is_defender()) {
defenderUnitsValue += thisScore;
} else {
attackerUnitsValue += thisScore;
}
break;
}
case net::eagle0::shardok::storage::fb::UnitStatus_DESTROYED_SUMMONED_UNIT:
case net::eagle0::shardok::storage::fb::UnitStatus_FLED_UNIT:
case net::eagle0::shardok::storage::fb::UnitStatus_NEVER_ENTERED_UNIT:
case net::eagle0::shardok::storage::fb::UnitStatus_OUTLAWED_UNIT:
case net::eagle0::shardok::storage::fb::UnitStatus_RESERVE_UNIT:
case net::eagle0::shardok::storage::fb::UnitStatus_RETREATED_UNIT: break;
case net::eagle0::shardok::storage::fb::UnitStatus_UNKNOWN_UNIT:
throw ShardokInternalErrorException("Unknown unit status");
}
}
double defenderAdvantage = 1.0 + static_cast<double>(gameState->current_round()) / 31.0;
// Can we cache this somehow, it won't usually change within your turn
auto attackLocationsForAttacker = alCache->CachedLocations(defenderUnits, isLateGame);
const auto &locationsCausingDanger = attackLocationsForAttacker.AllLocations();
vector<shared_ptr<ActionPointDistances>> actionPointDistancesByBattalionType(6);
for (const Unit *unit : attackerUnits) {
auto apdsForType = actionPointDistancesByBattalionType[unit->battalion().type()];
if (apdsForType == nullptr) {
apdsForType = apdCache->Get(
gameState->hex_map(),
mapId,
settings.GetBattalionType(unit->battalion().type()),
false);
actionPointDistancesByBattalionType[unit->battalion().type()] = apdsForType;
}
const auto &priorityList = std::find_if(
begin(attackerTargetPriorities),
end(attackerTargetPriorities),
[&unit](const TargetPriorityList &tpl) {
return tpl.attackingUnitId == unit->unit_id();
});
// If there are any tiles being targeted, give this unit a multiplier based on how close
// they are to being able to attack it
double distanceMultiplier = priorityList == end(attackerTargetPriorities)
? 1.0
: AttackerMultiplierForTargetDistance(
unit,
priorityList->priorityOrder,
occupants,
gameState->hex_map(),
mapId,
settings,
alCache,
apdCache,
braveWaterCost,
isLateGame);
auto uv = UnitValue(
unit,
true,
attackerUnits,
attackerWantsCastles,
/* includeCastleBonus=*/true,
defenderUnits,
gameState->hex_map(),
roundsRemaining,
attackLocationsForAttacker,
locationsCausingDanger,
apdsForType,
settings);
attackerUnitsValue += distanceMultiplier * uv;
}
auto attackLocationsForDefender = alCache->CachedLocations(attackerUnits, isLateGame);
const auto &locationsCausingDangerForAttacker = attackLocationsForDefender.AllLocations();
for (const Unit *unit : defenderUnits) {
auto defenderUnitId = unit->unit_id();
auto dv = UnitValue(
unit,
false,
attackerUnits,
attackerWantsCastles,
/* includeCastleBonus=*/!defenderShouldScatter,
defenderUnits,
gameState->hex_map(),
roundsRemaining,
attackLocationsForDefender,
locationsCausingDangerForAttacker,
apdCache->Get(
gameState->hex_map(),
mapId,
settings.GetBattalionType(unit->battalion().type()),
false),
settings);
double distanceMultiplier = 1.0;
// If the defender is trying to scatter, than we want to be as far away from the nearest
// attacker as possible, AND as far away from the nearest friendly as possible
if (unit->location().row() > -1 && defenderShouldScatter) {
CoordsSet myLocationSet(gameState->hex_map());
myLocationSet.Add(unit->location());
DIST_T closestDistanceToEnemy = 999;
for (const auto &attackerUnit : attackerUnits) {
if (const DIST_T thisDistance = EffectiveDistance(
attackerUnit,
gameState->hex_map(),
mapId,
apdCache,
myLocationSet,
settings,
braveWaterCost);
thisDistance < closestDistanceToEnemy) {
closestDistanceToEnemy = thisDistance;
}
}
// If the best we can do puts us very close to the enemy, and the unit is almost
// destroyed, return a negative value; better to flee
if (unit->can_flee() && closestDistanceToEnemy < 5 &&
closestDistanceToEnemy != ActionPointDistances::IMPOSSIBLE &&
unit->battalion().size() < 10) {
distanceMultiplier = -1;
} else {
DIST_T closestDistanceToFriendly = 1;
if (defenderUnits.size() > 1) {
for (const auto &defenderUnit : defenderUnits) {
if (defenderUnit->unit_id() != defenderUnitId) {
if (const DIST_T thisDistance = EffectiveDistance(
defenderUnit,
gameState->hex_map(),
mapId,
apdCache,
myLocationSet,
settings,
braveWaterCost);
thisDistance < closestDistanceToEnemy) {
closestDistanceToFriendly = thisDistance;
}
}
}
}
distanceMultiplier =
(closestDistanceToEnemy + closestDistanceToFriendly / 5.0) / 5.0;
}
}
defenderUnitsValue += distanceMultiplier * dv;
}
defenderUnitsValue *= defenderAdvantage;
return attackerUnitsValue - defenderUnitsValue;
}
auto AIScoreCalculator::FleeStrategyScoreForState(
const GameState *gameState,
const PlayerId playerId) -> ScoreValue {
ScoreValue scoreValue = 0.0;
for (const auto *unit : *gameState->units()) {
if (unit->status() != net::eagle0::shardok::storage::fb::UnitStatus_NORMAL_UNIT) continue;
if (unit->player_id() == playerId &&
unit->battalion().type() != net::eagle0::shardok::storage::fb::BattalionTypeId_UNDEAD) {
scoreValue += FLEE_UNIT_SCORE;
if (unit->has_attached_hero() &&
unit->attached_hero().control_info().controlled_unit_id() != -1) {
scoreValue += FLEE_CONTROLLING_UNIT_SCORE;
}
}
}
return scoreValue;
}
auto AIScoreCalculator::DefenderScatterStrategyScoreForState(
const GameState *gameState,
const int roundsRemaining,
const SettingsGetter &settings,
const ALCache &alCache,
const APDCache &apdCache) -> ScoreValue {
if (gameState->status()->state() ==
net::eagle0::shardok::storage::fb::GameStatus_::State_VICTORY) {
for (const PlayerId winningPid : *gameState->status()->winning_shardok_ids()) {
if (winningPid < 0) continue;
if (gameState->player_infos()->Get(winningPid)->is_defender()) return INT_MAX;
else
return INT_MIN;
}
return INT_MAX;
}
if (gameState->status()->state() ==
net::eagle0::shardok::storage::fb::GameStatus_::State_DRAW) {
return 0;
}
const auto mapId = ActionPointDistancesCache::GetMapId(gameState->hex_map());
const auto unitsTotal = -AttackerUnitsScore(
gameState,
roundsRemaining,
settings,
/* attackerWantsCastles=*/false,
/* defenderShouldScatter=*/true,
{},
alCache,
apdCache,
mapId);
return unitsTotal;
}
auto AIScoreCalculator::DefenderHoldCastlesStrategyScoreForState(
const GameState *gameState,
const CoordsSet &castleCoords,
const int roundsRemaining,
const SettingsGetter &settings,
const ALCache &alCache,
const APDCache &apdCache) -> ScoreValue {
const auto unitsTotal = -AttackerUnitsScore(
gameState,
roundsRemaining,
settings,
/* attackerWantsCastles=*/true,
/*defenderShouldScatter=*/false,
{},
alCache,
apdCache,
ActionPointDistancesCache::GetMapId(gameState->hex_map()));
// Check the victory condition types
ScoreValue victoryConditionTotal = 0.0;
const PlayerInfo *defenderPi = nullptr;
for (const PlayerInfo *pi : *gameState->player_infos()) {
if (pi->is_defender()) defenderPi = pi;
}
victoryConditionTotal += DefenderHoldsCriticalTilesVictoryScore(
gameState,
castleCoords,
defenderPi,
apdCache,
alCache,
settings);
const double unitsMultiplier = static_cast<double>(roundsRemaining) /
static_cast<double>(settings.Backing().max_rounds());
return UNITS_BASE_MULTIPLIER * unitsMultiplier * unitsTotal + victoryConditionTotal;
}
auto AIScoreCalculator::DefenderScoreForState(
const GameState *gameState,
const AIStrategy &defenderStrategy,
const CoordsSet &castleCoords,
const int roundsRemaining,
const SettingsGetter &settings,
const ALCache &alCache,
const APDCache &apdCache) -> ScoreValue {
if (gameState->status()->state() ==
net::eagle0::shardok::storage::fb::GameStatus_::State_VICTORY) {
for (const PlayerId winningPid : *gameState->status()->winning_shardok_ids()) {
if (winningPid < 0) continue;
if (defenderStrategy.strategyType == AIStrategy::STRATEGY_FLEE) return 0;
if (gameState->player_infos()->Get(winningPid)->is_defender()) return INT_MAX;
else
return INT_MIN;
}
return INT_MIN;
}
if (gameState->status()->state() ==
net::eagle0::shardok::storage::fb::GameStatus_::State_DRAW) {
return 0;
}
switch (defenderStrategy.strategyType) {
case AIStrategy::STRATEGY_ATTACK_CASTLES:
throw ShardokInternalErrorException("Defender cannot use AttackCastlesStrategy");
case AIStrategy::STRATEGY_ATTACK_UNITS:
throw ShardokInternalErrorException("Defender cannot use AttackUnitsStrategy");
case AIStrategy::STRATEGY_CROSS_RIVERS:
throw ShardokInternalErrorException("Defender cannot use CrossRiversStrategy");
case AIStrategy::STRATEGY_HOLD_CASTLES:
return DefenderHoldCastlesStrategyScoreForState(
gameState,
castleCoords,
roundsRemaining,
settings,
alCache,
apdCache);
case AIStrategy::STRATEGY_SCATTER:
return DefenderScatterStrategyScoreForState(
gameState,
roundsRemaining,
settings,
alCache,
apdCache);
case AIStrategy::STRATEGY_FLEE:
for (const auto *pi : *gameState->player_infos()) {
if (pi->is_defender()) {
return FleeStrategyScoreForState(gameState, pi->player_id());
}
}
throw ShardokInternalErrorException("Unable to find defender for FleeStrategy");
}
throw ShardokInternalErrorException("Escaped AIStrategy switch");
}
auto AIScoreCalculator::AttackerScoreForState(
const GameState *gameState,
const AIStrategy &attackerStrategy,
const CoordsSet &castleCoords,
const int roundsRemaining,
const SettingsGetter &settings,
const ALCache &alCache,
const APDCache &apdCache) -> ScoreValue {
if (gameState->status()->state() ==
net::eagle0::shardok::storage::fb::GameStatus_::State_VICTORY) {
for (const PlayerId winningPid : *gameState->status()->winning_shardok_ids()) {
if (winningPid < 0) continue;
if (attackerStrategy.strategyType == AIStrategy::STRATEGY_FLEE) return 0;
if (gameState->player_infos()->Get(winningPid)->is_defender()) return INT_MIN;
else
return INT_MAX;
}
return INT_MAX;
}
if (gameState->status()->state() ==
net::eagle0::shardok::storage::fb::GameStatus_::State_DRAW) {
return 0;
}
const auto mapId = ActionPointDistancesCache::GetMapId(gameState->hex_map());
const auto unitsTotal = AttackerUnitsScore(
gameState,
roundsRemaining,
settings,
attackerStrategy.strategyType == AIStrategy::STRATEGY_HOLD_CASTLES,
/* defenderShouldScatter=*/false,
attackerStrategy.targetPriorities,
alCache,
apdCache,
mapId);
// Check the victory condition types
ScoreValue victoryConditionTotal = 0.0;
for (const PlayerInfo *pi : *gameState->player_infos()) {
if (pi->is_defender()) continue;
switch (attackerStrategy.strategyType) {
case AIStrategy::STRATEGY_CROSS_RIVERS:
victoryConditionTotal += AIWaterCrossingCommandChooser(pi->player_id(), apdCache)
.WaterCrossingScore(
settings,
gameState,
castleCoords,
attackerStrategy.targetLocations);
case AIStrategy::STRATEGY_ATTACK_CASTLES:
case AIStrategy::STRATEGY_ATTACK_UNITS:
// already factored into AttackerUnitsScore
break;
case AIStrategy::STRATEGY_HOLD_CASTLES:
victoryConditionTotal += AttackerHoldsCriticalTilesVictoryScore(
gameState,
castleCoords,
pi,
apdCache,
alCache,
settings);
break;
case AIStrategy::STRATEGY_SCATTER:
throw ShardokInternalErrorException("Attacker cannot use ScatterStrategy");
case AIStrategy::STRATEGY_FLEE:
return FleeStrategyScoreForState(gameState, pi->player_id());
}
}
const double unitsMultiplier = static_cast<double>(roundsRemaining) /
static_cast<double>(settings.Backing().max_rounds());
return UNITS_BASE_MULTIPLIER * unitsMultiplier * unitsTotal + victoryConditionTotal;
}
[[nodiscard]] auto AIScoreCalculator::GuessedStateScore(
const bool isDefender,
const GameState *state,
const AIStrategy &aiStrategy,
const CoordsSet &allCastleCoords,
const SettingsGetter &settingsGetter,
const APDCache &apdCache,
const ALCache &alCache) -> ScoreValue {
const int roundsRemaining = settingsGetter.Backing().max_rounds() - state->current_round();
if (isDefender) {
return DefenderScoreForState(
state,
aiStrategy,
allCastleCoords,
roundsRemaining,
settingsGetter,
alCache,
apdCache);
} else {
return AttackerScoreForState(
state,
aiStrategy,
allCastleCoords,
roundsRemaining,
settingsGetter,
alCache,
apdCache);
}
}
void PrintCommand(
const uint32_t index,
const CommandProto &cmd,
const GameState *gs,
const ScoreValue utility) {
printf("i%d %s\n ", index, net::eagle0::shardok::common::CommandType_Name(cmd.type()).c_str());
if (cmd.has_actor()) {
const auto actor = cmd.actor().value();
auto &loc = gs->units()->Get(actor)->location();
printf("a%d(%d, %d) ", cmd.actor().value(), loc.row(), loc.column());
}
if (cmd.has_target()) { printf("t(%d, %d) ", cmd.target().row(), cmd.target().column()); }
printf("u%f\n", utility);
}
auto AIScoreCalculator::BasicLookaheadCalculator(
const PlayerId pid,
const bool isDefender,
const int maxRepeatCount,
const shared_ptr<ShardokEngine> &innerEngine,
const ScoreValue currentUtility,
const AIStrategy &attackerStrategy,
const SettingsGetter &settingsGetter,
const CoordsSet &allCastleCoords,
const APDCache &apdCache,
const ALCache &alCache) -> ScoreValue {
const auto nextUtility = currentUtility;
if (const CommandListSPtr nextCommands = innerEngine->GetAvailableCommandsForAIPlayer(pid);
nextCommands && !nextCommands->empty()) {
const auto [index, type, lookaheadScore, immediateScore] = BestCommandIndex(
pid,
isDefender,
-1,
maxRepeatCount,
*innerEngine,
attackerStrategy,
nextUtility,
settingsGetter,
allCastleCoords,
apdCache,
alCache);
if (auto &nextCommand = innerEngine->GetAvailableCommandsForAIPlayer(pid)->at(index);
nextCommand->GetCommandType() != net::eagle0::shardok::common::END_TURN_COMMAND) {
return immediateScore;
}
}
return nextUtility;
}
auto AIScoreCalculator::CalcOne(
PlayerId pid,
bool isDefender,
uint32_t commandIndex,
int remainingLookahead,
int maxRepeatCount,
const std::shared_ptr<RandomGenerator> &randomGenerator,
const ShardokEngine &guessedEngine,
const AIStrategy &attackerStrategy,
const SettingsGetter &settingsGetter,
const CoordsSet &allCastleCoords,
const APDCache &apdCache,
const ALCache &alCache) -> ImmediateAndLookaheadScore {
ImmediateAndLookaheadScore returnValue{};
auto innerEngine = std::make_shared<ShardokEngine>(guessedEngine, false);
innerEngine->PostCommand(pid, commandIndex, randomGenerator);
auto innerUtility = AIScoreCalculator::GuessedStateScore(
isDefender,
innerEngine->GetCurrentGameState(),
attackerStrategy,
allCastleCoords,
settingsGetter,
apdCache,
alCache);
#if LOGGING_
if (remainingLookahead == 1 && (commandIndex == 265 || commandIndex == 25)) {
printf("Here we are %d\n", commandIndex);
log = true;
auto cmd = guessedEngine.GetAvailableCommands(pid, false)[commandIndex];
PrintCommand(commandIndex, cmd, guessedEngine.GetCurrentGameState(), innerUtility);
}
#endif
returnValue.immediateScore = innerUtility;
if (remainingLookahead == -1) {
std::promise<ScoreValue> p;
returnValue.lookaheadScore = p.get_future();
p.set_value(innerUtility);
} else {
auto lookaheadLambda = [pid,
isDefender,
maxRepeatCount,
innerEngine,
attackerStrategy,
innerUtility,
&settingsGetter,
&allCastleCoords,
&apdCache,
&alCache]() -> ScoreValue {
return BasicLookaheadCalculator(
pid,
isDefender,
maxRepeatCount,
innerEngine,
innerUtility,
attackerStrategy,
settingsGetter,
allCastleCoords,
apdCache,
alCache);
};
#if MULTITHREAD
returnValue.lookaheadScore = std::async(std::launch::async, lookaheadLambda);
#else
std::promise<ScoreValue> p;
returnValue.lookaheadScore = p.get_future();
auto lambdaResult = lookaheadLambda();
p.set_value(lambdaResult);
#endif
}
return returnValue;
}
[[nodiscard]] auto AIScoreCalculator::BestCommandIndex(
const PlayerId pid,
const bool isDefender,
const int remainingLookahead,
const int maxRepeatCount,
const ShardokEngine &guessedEngine,
const AIStrategy &attackerStrategy,
const ScoreValue currentUtility,
const SettingsGetter &settingsGetter,
const CoordsSet &allCastleCoords,
const APDCache &apdCache,
const ALCache &alCache) -> IndexAndScore {
const CommandListSPtr guessedDescriptors = guessedEngine.GetAvailableCommandsForAIPlayer(pid);
const auto commandCount = guessedDescriptors->size();
vector<IndexAndScore> allIndices(commandCount);
// Primary index is the command index; vector may contain repeated attempts
vector<vector<future<ScoreValue>>> scoreFutures(commandCount);
for (uint32_t index = 0; index < commandCount; index++) {
const auto &guessedDescriptor = guessedDescriptors->at(index);
const auto guessedCommandType = guessedDescriptor->GetCommandType();
allIndices[index].index = index;
allIndices[index].type = guessedCommandType;
if (guessedCommandType == net::eagle0::shardok::common::END_TURN_COMMAND) {
std::promise<ScoreValue> p;
scoreFutures[index].push_back(p.get_future());
p.set_value(currentUtility);
allIndices[index].immediateScore = currentUtility;
} else if (IsDeterministic(guessedCommandType)) {
auto [immediateScore, lookaheadScore] =
CalcOne(pid,
isDefender,
index,
remainingLookahead,
maxRepeatCount,
_averageGenerator,
guessedEngine,
attackerStrategy,
settingsGetter,
allCastleCoords,
apdCache,
alCache);
allIndices[index].immediateScore = immediateScore;
scoreFutures[index].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 (so 30% chance -> rolling
// 85)
auto [successImmediateScore, successLookaheadScore] =
CalcOne(pid,
isDefender,
index,
remainingLookahead,
maxRepeatCount,
std::make_shared<SequenceRandomGenerator>(
std::vector{1.0 - successChance / 2.0}),
guessedEngine,
attackerStrategy,
settingsGetter,
allCastleCoords,
apdCache,
alCache);
// second attempt uses the average of (1 - successChance) and 0 as the roll (so 30%
// chance -> rolling 15)
auto [failureImmediateScore, failureLookaheadScore] =
CalcOne(pid,
isDefender,
index,
remainingLookahead,
maxRepeatCount,
std::make_shared<SequenceRandomGenerator>(
std::vector{(1.0 - successChance) / 2.0}),
guessedEngine,
attackerStrategy,
settingsGetter,
allCastleCoords,
apdCache,
alCache);
allIndices[index].immediateScore =
std::lerp(failureImmediateScore, successImmediateScore, successChance);
auto successSF = successLookaheadScore.share();
auto failureSF = failureLookaheadScore.share();
scoreFutures[index].push_back(
std::async(std::launch::deferred, [successSF, failureSF, successChance]() {
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] =
CalcOne(pid,
isDefender,
index,
remainingLookahead,
maxRepeatCount,
std::make_shared<SequenceRandomGenerator>(sequence),
guessedEngine,
attackerStrategy,
settingsGetter,
allCastleCoords,
apdCache,
alCache);
sum += immediateScore;
scoreFutures[index].push_back(std::move(lookaheadScore));
}
allIndices[index].immediateScore = sum / maxRepeatCount;
}
}
for (uint32_t i = 0; i < commandCount; i++) {
const auto count = static_cast<ScoreValue>(scoreFutures[i].size());
ScoreValue total = 0.0;
for (auto &oneFuture : scoreFutures[i]) { total += oneFuture.get(); }
allIndices[i].lookaheadScore = total / count;
}
return *std::max_element(std::begin(allIndices), std::end(allIndices), CommandSorter);
}
} // namespace shardok
@@ -0,0 +1,139 @@
//
// Created by dancrosby on 3/4/20.
//
#ifndef EAGLE0_AISCORECALCULATOR_HPP
#define EAGLE0_AISCORECALCULATOR_HPP
#include <flatbuffers/flatbuffers.h>
#include <future>
#include <utility>
#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/cpp/net/eagle0/shardok/library/view_filters/GameStateGuesser.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 = net::eagle0::shardok::storage::fb::GameState;
using shardok::PlayerId;
using std::future;
using std::vector;
using ScoreValue = double;
using CommandProto = net::eagle0::shardok::api::CommandDescriptor;
class AIScoreCalculator {
public:
struct IndexAndScore {
size_t index;
net::eagle0::shardok::common::CommandType type;
ScoreValue lookaheadScore;
ScoreValue immediateScore;
};
private:
[[nodiscard]] static auto DefenderScatterStrategyScoreForState(
const GameState *gameState,
int roundsRemaining,
const SettingsGetter &settings,
const ALCache &alCache,
const APDCache &apdCache) -> ScoreValue;
[[nodiscard]] static auto DefenderHoldCastlesStrategyScoreForState(
const GameState *gameState,
const CoordsSet &castleCoords,
int roundsRemaining,
const SettingsGetter &settings,
const ALCache &alCache,
const APDCache &apdCache) -> ScoreValue;
[[nodiscard]] static auto FleeStrategyScoreForState(
const GameState *gameState,
PlayerId playerId) -> ScoreValue;
[[nodiscard]] static auto DefenderScoreForState(
const GameState *gameState,
const AIStrategy &defenderStrategy,
const CoordsSet &castleCoords,
int roundsRemaining,
const SettingsGetter &settings,
const ALCache &alCache,
const APDCache &apdCache) -> ScoreValue;
[[nodiscard]] static auto AttackerScoreForState(
const GameState *gameState,
const AIStrategy &attackerStrategy,
const CoordsSet &castleCoords,
int roundsRemaining,
const SettingsGetter &settings,
const ALCache &alCache,
const APDCache &apdCache) -> ScoreValue;
struct ImmediateAndLookaheadScore {
ScoreValue immediateScore;
future<ScoreValue> lookaheadScore;
};
static auto BasicLookaheadCalculator(
PlayerId pid,
bool isDefender,
int maxRepeatCount,
const shared_ptr<ShardokEngine> &innerEngine,
ScoreValue currentUtility,
const AIStrategy &attackerStrategy,
const SettingsGetter &settingsGetter,
const CoordsSet &allCastleCoords,
const APDCache &apdCache,
const ALCache &alCache) -> ScoreValue;
static auto CalcOne(
PlayerId pid,
bool isDefender,
uint32_t commandIndex,
int remainingLookahead,
int maxRepeatCount,
const std::shared_ptr<RandomGenerator> &randomGenerator,
const ShardokEngine &guessedEngine,
const AIStrategy &attackerStrategy,
const SettingsGetter &settingsGetter,
const CoordsSet &allCastleCoords,
const APDCache &apdCache,
const ALCache &alCache) -> ImmediateAndLookaheadScore;
public:
[[nodiscard]] static auto GuessedStateScore(
bool isDefender,
const GameState *state,
const AIStrategy &aiStrategy,
const CoordsSet &allCastleCoords,
const SettingsGetter &settingsGetter,
const APDCache &apdCache,
const ALCache &alCache) -> ScoreValue;
[[nodiscard]] static auto BestCommandIndex(
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) -> IndexAndScore;
};
} // namespace shardok
#endif // EAGLE0_AISCORECALCULATOR_HPP
@@ -16,7 +16,7 @@ auto HasAttachedHeroWithProfession(
unit->attached_hero().profession_info().profession() == profession;
}
auto CastleClaimCapableAttackerUnitCount(const GameStateW &gameState) -> int {
auto CastleClaimCapableAttackerUnitCount(const GameState *gameState) -> int {
int count = 0;
for (const auto *unit : *gameState->units()) {
@@ -32,7 +32,7 @@ auto CastleClaimCapableAttackerUnitCount(const GameStateW &gameState) -> int {
return count;
}
auto PlayerInfoForPid(const GameStateW &gs, const PlayerId pid) -> const PlayerInfo * {
auto PlayerInfoForPid(const GameState *gs, const PlayerId pid) -> const PlayerInfo * {
if (gs->player_infos()) {
for (const auto &pi : *gs->player_infos()) {
if (pi->player_id() == pid) return pi;
@@ -7,7 +7,6 @@
#include <vector>
#include "src/main/cpp/net/eagle0/shardok/library/GameStateW.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/ShardokCTypes.h"
#include "src/main/flatbuffer/net/eagle0/shardok/storage/game_state.hpp"
#include "src/main/flatbuffer/net/eagle0/shardok/storage/unit.hpp"
@@ -26,8 +25,8 @@ auto HasAttachedHeroWithProfession(
const Unit *unit,
net::eagle0::shardok::storage::fb::Profession profession) -> bool;
auto CastleClaimCapableAttackerUnitCount(const GameStateW &gameState) -> int;
auto PlayerInfoForPid(const GameStateW &, PlayerId pid) -> const PlayerInfo *;
auto CastleClaimCapableAttackerUnitCount(const GameState *gameState) -> int;
auto PlayerInfoForPid(const GameState *gs, PlayerId pid) -> const PlayerInfo *;
} // namespace shardok
@@ -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};
@@ -1,134 +0,0 @@
//
// Created by Dan Crosby on 07/04/25.
//
#include "AITimeBudget.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/fb_helpers/FlatbufferWrapper.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/settings/GameSettings.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/flatbuffer/net/eagle0/shardok/storage/game_state.hpp"
namespace shardok {
// Static member definition
std::atomic<int> AIEvaluationCounter::activeCount{0};
AIEvaluationCounter::AIEvaluationCounter() { activeCount++; }
AIEvaluationCounter::~AIEvaluationCounter() { activeCount--; }
int AIEvaluationCounter::GetCurrentCount() { return activeCount.load(); }
auto CalculateTimeBudget(
const PlayerId playerId,
const GameSettingsSPtr &settings,
const GameStateW &state,
const size_t numCommands) -> 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)
const double maxBudgetSeconds =
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();
for (size_t i = 0; i < units->size() && !isClose; ++i) {
const auto *myUnit = units->Get(static_cast<unsigned int>(i));
if (myUnit->player_id() != playerId) continue;
const auto &myCoords = myUnit->location();
// Skip units that haven't been placed on the map yet
if (myCoords.row() == -1) continue;
const Cube myCube = OffsetToCube(myCoords);
// Check distance to enemy units
for (size_t j = 0; j < units->size(); ++j) {
const auto *enemyUnit = units->Get(static_cast<unsigned int>(j));
if (enemyUnit->player_id() == playerId) continue;
const auto &enemyCoords = enemyUnit->location();
// Skip enemy units that haven't been placed on the map yet
if (enemyCoords.row() == -1) continue;
const Cube enemyCube = OffsetToCube(enemyCoords);
if (const int hexDistance = CubeDistance(myCube, enemyCube); hexDistance <= 4) {
isClose = true;
break;
}
}
// Check distance to castles
if (!isClose) {
for (const auto &castleCoord : castleCoords) {
const Cube castleCube = OffsetToCube(castleCoord);
if (const int hexDistance = CubeDistance(myCube, castleCube); hexDistance <= 4) {
isClose = true;
break;
}
}
}
}
// 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);
// 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);
// Get minimum depth requirement
const size_t minDepth = settingsGetter.Backing().min_lookahead_turns();
return AITimeBudget{
.remainingBudget = remainingBudget,
.minDepthRequired = minDepth,
.isCloseToEnemy = isClose};
}
} // namespace shardok
@@ -1,49 +0,0 @@
//
// Created by Dan Crosby on 07/04/25.
//
#ifndef EAGLE0_AITIMEBUDGET_HPP
#define EAGLE0_AITIMEBUDGET_HPP
#include <atomic>
#include <chrono>
#include <memory>
#include "src/main/cpp/net/eagle0/shardok/library/GameStateW.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/ShardokCTypes.h"
namespace shardok {
// Forward declarations
class GameSettings;
using GameSettingsSPtr = std::shared_ptr<GameSettings>;
// RAII counter for tracking concurrent AI command evaluations
class AIEvaluationCounter {
static std::atomic<int> activeCount;
public:
AIEvaluationCounter();
~AIEvaluationCounter();
static int GetCurrentCount();
};
// Configuration structure for iterative deepening time budget
struct AITimeBudget {
std::chrono::milliseconds remainingBudget; // Time budget remaining (decremented as used)
size_t minDepthRequired; // Minimum depth from minLookaheadTurns
bool isCloseToEnemy; // Proximity flag for budget selection
};
// 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)
auto CalculateTimeBudget(
PlayerId playerId,
const GameSettingsSPtr &settings,
const GameStateW &state,
size_t numCommands) -> AITimeBudget;
} // namespace shardok
#endif // EAGLE0_AITIMEBUDGET_HPP
@@ -5,7 +5,6 @@
#include "AIUnitScoreCalculator.hpp"
#include <algorithm>
#include <cstdlib>
#include "AIAttackLocations.hpp"
#include "src/main/cpp/net/eagle0/shardok/library/util/HexMapUtils.hpp"
@@ -17,10 +16,9 @@ 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 +62,7 @@ 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 +88,8 @@ 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 =
@@ -101,7 +98,7 @@ auto ContextFreeUnitValue(const Unit *unit) -> ScoreValue {
return battalionValue + heroValue;
}
auto archeryValue(const Unit * /*unit*/) -> double {
auto archeryValue(const Unit *unit) -> double {
// TODO: make this depend on the value of the targets
return kArcheryPossibleValue;
}
@@ -116,7 +113,7 @@ auto reduceValue(const Unit *unit, const Terrain *unitTerrain) -> double {
return 0.0;
}
auto fearValue(const Unit * /*unit*/) -> double {
auto fearValue(const Unit *unit) -> double {
// TODO: make this depend on the value of the targets
return kFearPossibleValue;
}
@@ -336,9 +333,8 @@ auto UnitValue(
const int roundsRemaining,
const AttackLocations &locationsThisSideCanAttackFrom,
const CoordsSet &locationsInDangerFromEnemy,
const ActionPointDistances *distances,
int meteorRange,
double meteorCastVigorCost) -> ScoreValue {
const std::shared_ptr<ActionPointDistances> &distances,
const SettingsGetter &settings) -> ScoreValue {
const auto &location = unit->location();
if (location.row() < 0) return 0; // unplaced unit
@@ -346,8 +342,7 @@ auto UnitValue(
unit->battalion().type() == net::eagle0::shardok::storage::fb::BattalionTypeId_UNDEAD;
const int coordsIndex = location.row() * map->column_count() + location.column();
const auto *terrain = map->terrain()->Get(coordsIndex);
const auto &terrain = map->terrain()->Get(coordsIndex);
double castleMultiplier = 1.0;
// Only give a multiplier for being in a castle if the castle is useful, and the unit is not
// undead
@@ -357,12 +352,14 @@ 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) {
if (const auto *adjTerrain = GetTerrain(map, c);
adjTerrain && adjTerrain->modifier().fire().present()) {
if (const auto &adjTerrain = GetTerrain(map, c);
adjTerrain->modifier().fire().present()) {
onFireMultiplier *= kAdjacentFireMultiplier;
}
}
@@ -381,8 +378,8 @@ auto UnitValue(
roundsRemaining,
attackerUnits,
defenderUnits,
meteorRange,
meteorCastVigorCost);
settings.Backing().meteor_range(),
settings.Backing().meteor_cast_vigor_cost());
// scouting values
// attack range
@@ -417,7 +414,7 @@ auto UnitValue(
if (const auto commandingUnitId = unit->commanding_unit_id(); commandingUnitId != -1) {
const Unit *commandingUnit = nullptr;
for (const Unit *attackerUnit : attackerUnits) {
if (attackerUnit && attackerUnit->unit_id() == commandingUnitId) {
if (attackerUnit->unit_id() == commandingUnitId) {
commandingUnit = attackerUnit;
break;
}
@@ -425,7 +422,7 @@ auto UnitValue(
if (commandingUnit == nullptr) {
for (const Unit *defenderUnit : defenderUnits) {
if (defenderUnit && defenderUnit->unit_id() == commandingUnitId) {
if (defenderUnit->unit_id() == commandingUnitId) {
commandingUnit = defenderUnit;
break;
}

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