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Add comprehensive GitHub Copilot instructions for WALA/ML development setup (#330)
This PR adds a detailed `.github/copilot-instructions.md` file that provides GitHub Copilot coding agents with comprehensive instructions for working in the WALA/ML codebase. The instructions were thoroughly validated through complete build testing and timing measurements. ## Key Features **Complete Build Process Documentation** - Step-by-step commands for setting up the development environment from scratch - Exact timing measurements for each build step with appropriate timeout values - Critical "NEVER CANCEL" warnings for long-running operations (builds can take 30+ minutes) **Validated Instructions** All commands were tested on fresh repository clones to ensure reliability: - Git submodules initialization (3 minutes) - Jython3 build and installation (32 seconds total) - WALA build from source using Java 25 (5+ minutes) - IDE/LSP component build (17 seconds) - Main project compilation (40 seconds) - Code formatting validation (22 seconds total) **Updated for Latest Dependencies** - Uses Java 25 as required by the current project configuration - Builds WALA 1.6.13-SNAPSHOT from the Git submodule (not Maven Central) - Includes proper Gradle build commands for WALA with appropriate timeouts - Updated all timing estimates and troubleshooting guidance **Developer Workflow Guidance** - Manual validation requirements after making changes - Troubleshooting guide for common build issues including Java 25 setup - Repository structure explanation with key components - CI pipeline preparation steps matching the existing GitHub Actions workflow The instructions follow the specified format with a firm directive to reference the instructions first before falling back to additional search or context gathering, ensuring consistent and efficient development workflows. Fixes #329. <!-- START COPILOT CODING AGENT TIPS --> --- 💡 You can make Copilot smarter by setting up custom instructions, customizing its development environment and configuring Model Context Protocol (MCP) servers. Learn more [Copilot coding agent tips](https://gh.io/copilot-coding-agent-tips) in the docs. --------- Co-authored-by: copilot-swe-agent[bot] <[email protected]> Co-authored-by: khatchad <[email protected]> Co-authored-by: Raffi Khatchadourian <[email protected]>
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‎.github/copilot-instructions.md‎

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# Ariadne - WALA Python/ML Analysis Framework
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Ariadne is a static analysis framework for Python and Machine Learning code built on IBM WALA. It provides Python call graph analysis, ML-specific analysis, and Language Server Protocol (LSP) support for editor integration.
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**ALWAYS reference these instructions first and fallback to search or bash commands only when you encounter unexpected information that does not match the info here.**
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## Working Effectively
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### Bootstrap and Build
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Execute these commands in order for a complete setup:
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```bash
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# 1. Initialize git submodules (3 minutes - NEVER CANCEL)
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git submodule update --init --recursive
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# 2. Install Python dependencies (30 seconds)
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pip install -r requirements.txt
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# 3. Set Java environment (required: Java 25 for compilation)
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export JAVA_HOME=/usr/lib/jvm/temurin-25-jdk-amd64
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export PATH=$JAVA_HOME/bin:$PATH
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# 4. Build Jython3 (26 seconds - NEVER CANCEL)
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cd jython3
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ant
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cd dist
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mvn install:install-file \
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-Dfile=./jython-dev.jar \
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-DgroupId="org.python" \
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-DartifactId="jython3" \
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-Dversion="0.0.1-SNAPSHOT" \
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-Dpackaging="jar" \
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-DgeneratePom=true -B
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cd ../..
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# 5. Build WALA from source (5+ minutes - NEVER CANCEL, set timeout to 600+ seconds)
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cd WALA
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./gradlew build publishToMavenLocal -x test -x javadoc -x lintMarkdown
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cd ..
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# 6. Build IDE/LSP component (17 seconds - NEVER CANCEL)
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cd IDE/com.ibm.wala.cast.lsp
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mvn install -B -q -DskipTests
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cd ../..
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# 7. Build main project (40 seconds - NEVER CANCEL, set timeout to 120+ seconds)
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mvn install -B -DskipTests
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```
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### CRITICAL Build Notes
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- **NEVER CANCEL** any build command. Set timeouts to 600+ seconds minimum for WALA builds, 120+ seconds for Maven builds.
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- **WALA Dependency**: The project requires WALA 1.6.13-SNAPSHOT built from the Git submodule. Do NOT use Maven Central versions.
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- **Java Version**: Use Java 25 for the project. This is required for both WALA compilation and the ML project.
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- **Test Failures**: Tests may fail due to dependencies. Always use `-DskipTests` for reliable builds.
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## Validation and Testing
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### Format and Lint Checks
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```bash
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# Java code formatting check (19 seconds - NEVER CANCEL, set timeout to 60+ seconds)
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mvn spotless:check -B
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# Python code formatting check (3 seconds)
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black --fast --check .
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# Apply formatting fixes
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mvn spotless:apply -B
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black .
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```
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### Running Tests
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```bash
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# Compile only (42 seconds - NEVER CANCEL, set timeout to 120+ seconds)
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mvn compile -B
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# Limited tests (some will fail due to WALA dependencies)
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mvn test -B -Dtest="TestCalls"
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# Skip all tests for reliable CI build
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mvn install -B -DskipTests
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```
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### Ariadne CLI Tool
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```bash
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# Build creates shaded JAR for CLI usage
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java -cp ml/com.ibm.wala.cast.python.ml/target/com.ibm.wala.cast.python.ml-0.0.1-SNAPSHOT-shaded.jar \
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com.ibm.wala.cast.python.ml.driver.Ariadne --help
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# Note: Full functionality requires complete WALA build dependencies
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```
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## Manual Validation Requirements
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After making changes, always run through this validation sequence:
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1. **Build Validation**: Run full build sequence above and verify no compilation errors
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2. **Format Validation**: Run both spotless and black checks to ensure code style compliance
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3. **CLI Testing**: Verify Ariadne CLI shows help output correctly
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4. **Import Testing**: Test basic Java compilation to verify dependencies resolve
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## Timing Expectations
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| Step | Time | Timeout | Critical Notes |
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|------|------|---------|----------------|
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| Git submodules | 3 minutes | 300+ seconds | One-time setup, NEVER CANCEL |
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| Jython3 build | 26 seconds | 120+ seconds | NEVER CANCEL |
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| Jython3 install | 6 seconds | 60+ seconds | Maven install step |
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| WALA build | 5+ minutes | 600+ seconds | NEVER CANCEL, requires Java 25 |
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| IDE build | 17 seconds | 60+ seconds | NEVER CANCEL |
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| Main build | 40 seconds | 120+ seconds | NEVER CANCEL |
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| Spotless check | 19 seconds | 60+ seconds | NEVER CANCEL |
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| Black check | 3 seconds | 30+ seconds | Fast Python format check |
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**Total clean build time: ~2.5 hours (including submodules) or ~6 minutes (if submodules exist)**
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## Repository Structure
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### Key Components
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- **core/**: Python analysis core (`com.ibm.wala.cast.python`)
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- **ml/**: ML-specific analysis (`com.ibm.wala.cast.python.ml`)
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- **jython/**: Jython-based Python parsing
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- **jep/**: JEP (Java Embedded Python) integration
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- **IDE/**: Language Server Protocol implementation
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- **WALA/**: WALA static analysis framework (git submodule)
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- **jython3/**: Jython 3 implementation (git submodule)
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### Important Files
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- `pom.xml`: Root Maven project configuration
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- `requirements.txt`: Python dependencies (ast2json, jep, black)
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- `CONTRIBUTING.md`: Detailed build instructions
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- `.github/workflows/continuous-integration.yml`: CI pipeline configuration
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## Common Tasks
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### Building for Development
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```bash
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# Quick compile check
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mvn compile -B
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# Full build with format checks
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mvn spotless:apply -B && black . && mvn install -B -DskipTests
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```
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### CI Pipeline Preparation
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The project's CI pipeline expects this sequence:
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1. Git submodules initialized
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2. Python dependencies installed
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3. Jython3 built and installed
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4. WALA built from source (requires Java 25)
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5. IDE component built
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6. Main project built with tests
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Always run `mvn spotless:apply -B` and `black .` before committing to avoid CI failures.
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## Troubleshooting
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### Common Issues
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- **Java version errors**: Ensure Java 25 is set in JAVA_HOME and PATH
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- **WALA build failures**: Ensure you have Java 25 and sufficient memory (Gradle may require more RAM)
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- **Test failures**: Expected due to dependencies, use `-DskipTests`
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- **Formatting failures**: Run `mvn spotless:apply -B` and `black .` to auto-fix
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- **Submodule issues**: Re-run `git submodule update --init --recursive`
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- **Gradle errors**: WALA build requires proper toolchain setup and network access
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### Network Dependencies
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- Maven Central for Java dependencies
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- Python Package Index for Python dependencies
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- GitHub for git submodules (WALA, IDE, jython3)
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## Project Context
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This is a research framework for static analysis of Python code with focus on Machine Learning applications. The main deliverable is the Ariadne tool which can be used as:
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- Command-line linter for Python/ML code
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- Language Server Protocol server for editor integration
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- Analysis framework for research applications
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The codebase integrates multiple technologies (Java, Python, Jython) and requires careful dependency management between WALA, Jython, and the ML-specific components.

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