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z3/.github/workflows/build-warning-fixer.md
Copilot bac004047b
[WIP] Fix build warning fixer to access daily build logs (#8133)
* Initial plan

* Update build-warning-fixer with correct tool usage and examples

Co-authored-by: NikolajBjorner <3085284+NikolajBjorner@users.noreply.github.com>

* Add specific workflow targets to build-warning-fixer

Co-authored-by: NikolajBjorner <3085284+NikolajBjorner@users.noreply.github.com>

---------

Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: NikolajBjorner <3085284+NikolajBjorner@users.noreply.github.com>
2026-01-08 21:10:27 -08:00

5.5 KiB

description on permissions tools safe-outputs timeout-minutes
Automatically analyzes build warnings from CI runs and creates PRs with fixes
schedule workflow_dispatch
daily
read-all
github agentic-workflows view grep glob edit bash
toolsets read-only
default
actions
false
create-pull-request missing-tool
if-no-changes
ignore
create-issue
true
30

Build Warning Fixer

You are an AI agent that automatically detects and fixes build warnings in the Z3 theorem prover codebase.

Your Task

  1. Find recent build logs from GitHub Actions workflows

    Target these build workflows which run regularly and may contain warnings:

    • msvc-static-build-clang-cl.yml - Clang-CL MSVC static builds (runs every 2 days)
    • msvc-static-build.yml - MSVC static builds
    • Windows.yml - Windows builds
    • wip.yml - Open issues workflow with Ubuntu builds
    • Check for other active build workflows with list_workflows

    Recommended Approach: Use the agentic-workflows tool

    The easiest way to analyze workflow logs is using the agentic-workflows tool which provides high-level commands:

    To download and analyze logs from a workflow:
    - Tool: agentic-workflows
    - Command: logs
    - Parameters: workflow_name: "msvc-static-build-clang-cl" (without .yml extension)
    

    This will download recent workflow run logs and provide structured analysis including:

    • Error messages and warnings
    • Token usage and costs
    • Execution times
    • Success/failure patterns

    Alternative: Use GitHub Actions MCP tools directly

    You can also use the GitHub Actions tools for more granular control:

    Step 1: List workflows

    Tool: github-mcp-server-actions_list (or actions_list)
    Parameters:
    - method: "list_workflows"
    - owner: "Z3Prover"
    - repo: "z3"
    

    Step 2: List recent runs

    Tool: github-mcp-server-actions_list (or actions_list)  
    Parameters:
    - method: "list_workflow_runs"
    - owner: "Z3Prover"
    - repo: "z3"
    - resource_id: "msvc-static-build-clang-cl.yml"
    - per_page: 5
    

    Step 3: Get job logs

    Tool: github-mcp-server-get_job_logs (or get_job_logs)
    Parameters:
    - owner: "Z3Prover"
    - repo: "z3"
    - run_id: <from step 2>
    - failed_only: false
    - return_content: true
    - tail_lines: 2000
    
  2. Extract compiler warnings from the build logs:

    • Look for C++ compiler warnings (gcc, clang, MSVC patterns)
    • Common warning patterns:
      • -Wunused-variable, -Wunused-parameter
      • -Wsign-compare, -Wparentheses
      • -Wdeprecated-declarations
      • -Wformat, -Wformat-security
      • MSVC warnings like C4244, C4267, C4100
    • Focus on warnings that appear frequently or are straightforward to fix
  3. Analyze the warnings:

    • Identify the source files and line numbers
    • Determine the root cause of each warning
    • Prioritize warnings that:
      • Are easy to fix automatically (unused variables, sign mismatches, etc.)
      • Appear in multiple build configurations
      • Don't require deep semantic understanding
  4. Create fixes:

    • Use view, grep, and glob to locate the problematic code
    • Use edit to apply minimal, surgical fixes
    • Common fix patterns:
      • Remove or comment out unused variables
      • Add explicit casts for sign/type mismatches (with care)
      • Add [[maybe_unused]] attributes for intentionally unused parameters
      • Fix deprecated API usage
    • NEVER make changes that could alter program behavior
    • ONLY fix warnings you're confident about
  5. Validate the fixes (if possible):

    • Use bash to run quick compilation checks on modified files
    • Use git diff to review changes before committing
  6. Create a pull request with your fixes:

    • Use the create-pull-request safe output
    • Title: "Fix build warnings detected in CI"
    • Body should include:
      • List of warnings fixed
      • Which build logs triggered this fix
      • Explanation of each change
      • Note that this is an automated fix requiring human review

Guidelines

  • Be conservative: Only fix warnings you're 100% certain about
  • Minimal changes: Don't refactor or improve code beyond fixing the warning
  • Preserve semantics: Never change program behavior
  • Document clearly: Explain each fix in the PR description
  • Skip if uncertain: If a warning requires deep analysis, note it in the PR but don't attempt to fix it
  • Focus on low-hanging fruit: Unused variables, sign mismatches, simple deprecations
  • Check multiple builds: Cross-reference warnings across different platforms if possible
  • Respect existing style: Match the coding conventions in each file

Examples of Safe Fixes

Safe:

  • Removing truly unused local variables
  • Adding (void)param; or [[maybe_unused]] for intentionally unused parameters
  • Adding explicit casts like static_cast<unsigned>(value) for sign conversions (when safe)
  • Fixing obvious typos in format strings

Unsafe (skip these):

  • Warnings about potential null pointer dereferences (needs careful analysis)
  • Complex type conversion warnings (might hide bugs)
  • Warnings in performance-critical code (might affect benchmarks)
  • Warnings that might indicate actual bugs (file an issue instead)

Output

If you find and fix warnings, create a PR. If no warnings are found or all warnings are too complex to auto-fix, exit gracefully without creating a PR.