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Merge pull request #8574 from Z3Prover/copilot/fix-a3-python-file-processing

Fix a3-python workflow sparse-checkout to include Python source files
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Nikolaj Bjorner 2026-02-10 17:26:16 -08:00 committed by GitHub
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2 changed files with 89 additions and 11 deletions

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@ -0,0 +1,60 @@
# A3 Python Workflow Fix
## Problem
The a3-python workflow was not finding Python files in the repository because it was using sparse-checkout and only checking out `.github` and `.agents` directories. The Python source files in `src/api/python/z3/` were not being checked out.
## Solution
Added a custom `steps:` configuration in the workflow frontmatter to run `git sparse-checkout add src` before the agent executes. This ensures the Python source files are available for analysis.
## Changes Made
### 1. Frontmatter Update (lines 24-28)
```yaml
steps:
- name: Checkout Python source files
run: |
git sparse-checkout add src
echo "Python source files checked out from src directory"
```
This step runs before the AI agent starts, expanding the sparse-checkout to include the `src/` directory.
### 2. Updated Analysis Instructions
- Updated Phase 2.1 to explicitly verify `src/api/python/z3/` files are available
- Changed the a3 command from `a3 analyze` to `a3 scan` with proper flags
- Added specific documentation about which Python files should be analyzed:
- `z3.py` - Main Z3 Python API (350KB+)
- `z3printer.py` - Pretty printing functionality
- `z3num.py`, `z3poly.py`, `z3rcf.py` - Numeric and polynomial modules
- `z3types.py`, `z3util.py` - Type definitions and utilities
### 3. Updated Exit Conditions
Added mention of sparse checkout issues in the exit conditions to help with future debugging.
## How to Recompile
After modifying `a3-python.md`, you must recompile the workflow to generate the updated `.lock.yml` file:
```bash
# Compile the specific workflow
gh aw compile a3-python
# Or compile all workflows
gh aw compile
```
This will update `a3-python.lock.yml` with the new sparse-checkout step.
## Testing
To test the workflow locally or in a PR:
1. Trigger the workflow manually via workflow_dispatch
2. Check the logs to verify:
- The "Checkout Python source files" step runs successfully
- Python files in `src/api/python/z3/` are found
- The a3 scan command analyzes those files
## Related Files
- `a3-python.md` - The workflow definition (source of truth)
- `a3-python.lock.yml` - The compiled GitHub Actions workflow (auto-generated)
- `src/api/python/z3/*.py` - The Python files that should be analyzed

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@ -21,6 +21,11 @@ name: A3 Python Code Analysis
strict: true
timeout-minutes: 45
tracker-id: a3-python-analysis
steps:
- name: Checkout Python source files
run: |
git sparse-checkout add src
echo "Python source files checked out from src directory"
---
# A3 Python Code Analysis Agent
@ -59,28 +64,36 @@ a3 --help || python -m a3 --help
### 2.1 Identify Python Files
Find all Python files in the src directory:
The Z3 repository contains Python source files primarily in `src/api/python/z3/`. Verify these files are available:
```bash
find ${{ github.workspace }}/src -name "*.py" -type f | head -20
# Check that src directory was checked out
ls -la ${{ github.workspace }}/src/api/python/z3/
# List Python files
find ${{ github.workspace }}/src -name "*.py" -type f | head -30
```
### 2.2 Run a3-python Analysis
Run the a3 analyze command on the src directory and save output to a file:
Run the a3 scan command on the repository to analyze all Python files, particularly those in `src/api/python/z3/`:
```bash
cd ${{ github.workspace }}
# Try different command variations based on what's available
# Ensure PATH includes a3 command
export PATH="$PATH:/home/runner/.local/bin"
# Run a3 scan on the repository with focus on src directory
if command -v a3 &> /dev/null; then
a3 analyze ./src --generate-docs --dependency-graph > a3-python-output.txt 2>&1 || \
a3 analyze ./src > a3-python-output.txt 2>&1 || \
a3 debug ./src --execute-tests --validate-imports > a3-python-output.txt 2>&1 || \
echo "a3 analyze command failed with all variations" > a3-python-output.txt
# Run with multiple options for comprehensive analysis
a3 scan . --verbose --dse-verify --deduplicate --consolidate-variants > a3-python-output.txt 2>&1 || \
a3 scan src --verbose --functions --dse-verify > a3-python-output.txt 2>&1 || \
a3 scan src/api/python --verbose > a3-python-output.txt 2>&1 || \
echo "a3 scan command failed with all variations" > a3-python-output.txt
elif python -m a3 --help &> /dev/null; then
python -m a3 analyze ./src > a3-python-output.txt 2>&1 || \
echo "python -m a3 analyze command failed" > a3-python-output.txt
python -m a3 scan src > a3-python-output.txt 2>&1 || \
echo "python -m a3 scan command failed" > a3-python-output.txt
else
echo "ERROR: a3-python tool not available" > a3-python-output.txt
fi
@ -90,7 +103,11 @@ ls -lh a3-python-output.txt
cat a3-python-output.txt
```
**Important**: Capture the complete output including any errors, warnings, and findings.
**Important**: The a3-python tool should analyze the Python files in `src/api/python/z3/` which include:
- `z3.py` - Main Z3 Python API (350KB+)
- `z3printer.py` - Pretty printing functionality
- `z3num.py`, `z3poly.py`, `z3rcf.py` - Numeric and polynomial modules
- `z3types.py`, `z3util.py` - Type definitions and utilities
## Phase 3: Post-Process and Analyze Results
@ -268,6 +285,7 @@ Create the issue using the safe-outputs configuration:
Exit gracefully without creating an issue if:
- Analysis tool failed to run or install
- Python source files in `src/api/python/z3` were not checked out (sparse checkout issue)
- No Python files found in src directory
- Output file is empty or invalid
- Zero or one true positive identified