diff --git a/.github/workflows/benchmark-dashboard.yml b/.github/workflows/benchmark-dashboard.yml new file mode 100644 index 0000000..20eb7f5 --- /dev/null +++ b/.github/workflows/benchmark-dashboard.yml @@ -0,0 +1,89 @@ +name: Benchmark Dashboard + +on: + workflow_dispatch: + inputs: + provider: + description: "Provider (ollama, copilot, gemini)" + required: true + type: choice + options: + - ollama + - copilot + - gemini + model: + description: "Model name (e.g., qwen-coder-next:cloud)" + required: true + type: string + skill: + description: "Optional specific skill to test" + required: false + type: string + +jobs: + run-benchmark: + runs-on: ubuntu-latest + + steps: + - uses: actions/checkout@v4 + with: + ref: main + path: workspace + + - uses: astral-sh/setup-uv@v5 + with: + enable-cache: true + + - name: Run benchmark + working-directory: workspace + env: + OLLAMA_API_KEY: ${{ secrets.OLLAMA_API_KEY }} + run: | + # Install dependencies + uv sync --project tests + # Run benchmark + uv run --project tests tests/evaluator.py \ + --provider ${{ inputs.provider }} \ + --model ${{ inputs.model }} \ + --judge \ + --verbose \ + --report + # Rename artifact for clarity + if [ -d tests/results ]; then + ARTIFACT_NAME="benchmark-${{ inputs.provider }}-${{ inputs.model }}-$(date +%Y%m%d-%H%M%S)" + mv tests/results "tests/${ARTIFACT_NAME}" + fi + + - name: Generate dashboard + working-directory: workspace + run: | + uv run --project tests python3 ci/publish_benchmarks.py \ + --provider ${{ inputs.provider }} \ + --model ${{ inputs.model }} \ + --branch benchmark-history + + deploy-pages: + needs: run-benchmark + runs-on: ubuntu-latest + + steps: + - name: Checkout workspace + uses: actions/checkout@v4 + with: + ref: main + path: workspace + + - name: Checkout benchmark data + uses: actions/checkout@v4 + with: + ref: benchmark-history + path: benchmark-data + + - name: Verify deployment + run: | + echo "Benchmark data directory contents:" + ls -la benchmark-data/docs/ + echo "" + echo "GitHub Pages will be served from benchmark-history branch" + echo "Dashboard will be available at:" + echo "https://${{ github.repository }}/index.html" diff --git a/.github/workflows/skill-validation.yml b/.github/workflows/skill-validation.yml index c5d6fd8..402de19 100644 --- a/.github/workflows/skill-validation.yml +++ b/.github/workflows/skill-validation.yml @@ -116,8 +116,8 @@ jobs: fi echo "Running evaluation..." - # Use trusted script - uv run --project trusted-scripts/tests --frozen trusted-scripts/tests/evaluator.py "${ARGS[@]}" + # Use trusted script with correct project path + uv run --project . --frozen trusted-scripts/tests/evaluator.py "${ARGS[@]}" - name: Upload results if: always() diff --git a/ci/consolidate_results.py b/ci/consolidate_results.py index 6591efd..41529f5 100644 --- a/ci/consolidate_results.py +++ b/ci/consolidate_results.py @@ -3,83 +3,44 @@ Consolidate results from parallel evaluations. Aggregates outputs from multiple provider/model runs and generates summary. +Supports both PR comments and benchmark dashboard generation. """ +import argparse import json import sys from pathlib import Path -def main(): - results_base = Path("tests/results") - - print("==> Consolidating results from all evaluations") - - # Find all summary.json files (artifacts download to flat structure) - summary_files = sorted(results_base.glob("*/summary.json")) - - if not summary_files: - print(f"No results found in {results_base}") - print(f"Directory contents: {list(results_base.glob('*'))}") - # Write empty comment so job doesn't fail - Path("comment.md").write_text("# Evaluation Results\n\nNo results found.\n") - sys.exit(0) - - # Check for failures - failed = 0 - succeeded = 0 - all_results = [] +def generate_pr_comment(results: list) -> str: + """ + Generate GitHub PR comment from results. - print("\nResults:") - print("========") + Args: + results: List of result dictionaries - for summary_file in summary_files: - try: - summary = json.loads(summary_file.read_text()) - artifact_name = summary_file.parent.name - - all_results.append({ - "artifact": artifact_name, - "summary": summary, - }) - - print(f"āœ… {artifact_name}") - succeeded += 1 - - except json.JSONDecodeError: - print(f"āŒ {summary_file.parent.name} - Could not parse JSON") - failed += 1 + Returns: + Markdown comment string + """ + comment = "# šŸ“Š Evaluation Results\n\n" - print("\nSummary:") - print("========") - print(f"Processed: {len(all_results)}") - print(f"Failed: {failed}") + if results: + comment += f"Processed {len(results)} evaluation(s).\n\n" - # Generate comment - comment = "# šŸ“Š Evaluation Results\n\n" - - if all_results: - comment += f"Processed {len(all_results)} evaluation(s).\n\n" - # Build table with results comment += "| Test Name | Model | Baseline | With Skill | Cases Pass | Winner |\n" comment += "|-----------|-------|----------|------------|------------|--------|\n" - + # Rating hierarchy for comparison rating_hierarchy = {'vague': 0, 'regular': 1, 'good': 2, 'outstanding': 3} - - for result in all_results: + + for result in results: summary = result['summary'] artifact = result['artifact'] - - # Debug: Log top-level keys - print(f"\nšŸ“‹ Processing: {artifact}") - print(f" Top-level keys: {list(summary.keys())}") - + # Extract key data from nested results[0] eval_result = summary.get('results', [{}])[0] if summary.get('results') else {} - print(f" Nested result keys: {list(eval_result.keys())}") - + skill = eval_result.get('skill', 'N/A') model = eval_result.get('model', 'N/A') baseline_rating = eval_result.get('baseline_rating', 'N/A') @@ -87,9 +48,7 @@ def main(): baseline_pass = eval_result.get('baseline_pass_count', 'N/A') skill_pass = eval_result.get('skill_pass_count', 'N/A') overall_better = eval_result.get('judgment', {}).get('overall_better', 'N/A') - - print(f" Extracted: model={model}, baseline={baseline_rating}, skill={skill_rating}, winner={overall_better}") - + # Determine winner if overall_better == 'A': winner = "Baseline" @@ -99,26 +58,121 @@ def main(): winner = "Tie" else: winner = "N/A" - - # Determine emoji for cases pass (skill >= baseline in rating hierarchy) + + # Determine emoji for cases pass baseline_score = rating_hierarchy.get(baseline_rating, -1) skill_score = rating_hierarchy.get(skill_rating, -1) pass_emoji = "āœ…" if skill_score >= baseline_score else "āŒ" - + # Build row test_link = f"[{artifact}]()" comment += f"| {test_link} | {model} | {baseline_rating} | {skill_rating} | {pass_emoji} {skill_pass} | {winner} |\n" - + comment += "\n" else: comment += "No evaluation results found.\n" - Path("comment.md").write_text(comment) - print("\nāœ“ Comment saved to comment.md") - + return comment + + +def generate_benchmark_data(results: list, output_dir: Path) -> None: + """ + Generate benchmark data files for dashboard. + + Args: + results: List of result dictionaries + output_dir: Directory to write benchmark data + """ + output_dir.mkdir(parents=True, exist_ok=True) + + for result in results: + summary = result['summary'] + artifact = result['artifact'] + + # Save individual benchmark data + benchmark_file = output_dir / f"{artifact}.json" + benchmark_file.write_text(json.dumps(summary, indent=2)) + + # Save aggregated data for dashboard + aggregated = { + "generated_at": json.dumps(None), # Will be set by generate_dashboard_data.py + "results": [ + { + "artifact": r['artifact'], + "summary": r['summary'] + } + for r in results + ] + } + + aggregated_file = output_dir / "benchmark_aggregated.json" + aggregated_file.write_text(json.dumps(aggregated, indent=2)) + + +def main(): + parser = argparse.ArgumentParser(description="Consolidate evaluation results") + parser.add_argument("--mode", choices=["pr-comment", "benchmark"], default="pr-comment", + help="Output mode: pr-comment or benchmark") + parser.add_argument("--results-dir", type=Path, default="tests/results", + help="Directory containing evaluation results") + parser.add_argument("--output-dir", type=Path, default=None, + help="Output directory for benchmark mode") + parser.add_argument("--output-file", type=Path, default="comment.md", + help="Output file for PR comment mode") + args = parser.parse_args() + + if args.mode == "benchmark" and not args.output_dir: + args.output_dir = args.results_dir / "benchmark" + + print(f"==> Consolidating results (mode: {args.mode})") + + # Find all summary.json files + summary_files = sorted(args.results_dir.glob("*/summary.json")) + + if not summary_files: + print(f"No results found in {args.results_dir}") + print(f"Directory contents: {list(args.results_dir.glob('*'))}") + + if args.mode == "pr-comment": + Path(args.output_file).write_text("# Evaluation Results\n\nNo results found.\n") + sys.exit(0) + + # Process results + all_results = [] + failed = 0 + + for summary_file in summary_files: + try: + summary = json.loads(summary_file.read_text()) + artifact_name = summary_file.parent.name + + all_results.append({ + "artifact": artifact_name, + "summary": summary, + }) + + print(f"āœ… {artifact_name}") + + except json.JSONDecodeError as e: + print(f"āŒ {summary_file.parent.name} - Could not parse JSON: {e}") + failed += 1 + + print(f"\nSummary:") + print(f" Processed: {len(all_results)}") + print(f" Failed: {failed}") + + # Generate output based on mode + if args.mode == "pr-comment": + comment = generate_pr_comment(all_results) + args.output_file.write_text(comment) + print(f"\nāœ“ Comment saved to {args.output_file}") + + elif args.mode == "benchmark": + generate_benchmark_data(all_results, args.output_dir) + print(f"\nāœ“ Benchmark data saved to {args.output_dir}") + sys.exit(0) if __name__ == "__main__": - import os main() diff --git a/ci/generate_basic_html.py b/ci/generate_basic_html.py new file mode 100644 index 0000000..e94fc14 --- /dev/null +++ b/ci/generate_basic_html.py @@ -0,0 +1,470 @@ +""" +Generate Basic HTML - Pure Function + +Generates a Bootstrap-styled HTML page from benchmark data. +This is a pure function - no side effects. +""" + +import json +from pathlib import Path +from typing import Any + + +def generate_html_page(data: dict) -> str: + """ + Generate HTML page from benchmark data. + + Args: + data: Aggregated benchmark data + + Returns: + HTML string + """ + summary = data.get('summary', {}) + benchmarks = data.get('benchmarks', []) + unique_skills = data.get('unique_skills', []) + provider_models = data.get('provider_models', []) + + # Build provider/model options + provider_options = "" + seen_providers = set() + for prov, model in provider_models: + if prov not in seen_providers: + provider_options += f'' + seen_providers.add(prov) + + # Build skill rows + skill_rows = "" + for benchmark in benchmarks: + for skill in benchmark.get('skills', []): + skill_name = skill.get('skill_name', 'unknown') + provider = skill.get('provider', 'unknown') + model = skill.get('model', 'unknown') + baseline_rating = skill.get('baseline_rating', 'vague') + skill_rating = skill.get('skill_rating', 'vague') + improvement = skill.get('improvement', 'neutral') + before_code = skill.get('before_code', '// No code generated') + after_code = skill.get('after_code', '// No code generated') + reasoning = skill.get('reasoning', 'No reasoning') + + # Get rating colors + baseline_color = get_rating_color(baseline_rating) + skill_color = get_rating_color(skill_rating) + + # Escape code for HTML + before_code_escaped = escape_html(before_code) + after_code_escaped = escape_html(after_code) + + # Format reasoning for HTML + reasoning_formatted = format_reasoning(reasoning) + + skill_rows += f''' + + {skill_name} + {provider.capitalize()} + {model} + {baseline_rating} + {skill_rating} + {improvement.capitalize()} + + + ''' + + # Build unique skills filter options + skills_filter = '' + for skill_name in unique_skills: + skills_filter += f'' + + html = f''' + + + + + Programming Skills Benchmarks + + + + + + + + +
+
+
+
+
+
Total Benchmarks
+

{summary.get('total_benchmarks', 0)}

+
+
+
+
+
+
+
Skills Tested
+

{summary.get('total_skills', 0)}

+
+
+
+
+
+
+
Improvements
+

{summary.get('improvements', 0)}

+
+
+
+
+
+
+
Improvement Rate
+

{summary.get('improvement_rate', 0)}%

+
+
+
+
+
+ + +
+
+
+ + +
+
+ + +
+
+ + +
+
+ + +
+
+
+ + +
+
+
+
Benchmark Results
+
+
+
+ + + + + + + + + + + + + + {skill_rows} + +
SkillProviderModelBeforeAfterImprovementView Details
+
+
+
+
+ + + + + + + + + + +''' + + return html + + +def generate_basic_html(input_file: Path, output_file: Path) -> bool: + """ + Main function: Generate HTML page from benchmark JSON. + + Pure function - only reads from input_file, writes to output_file. + + Args: + input_file: Path to aggregated benchmark JSON + output_file: Path to write HTML file + + Returns: + True if successful, False otherwise + """ + try: + # Read input + with open(input_file, 'r', encoding='utf-8') as f: + data = json.load(f) + + # Generate HTML + html = generate_html_page(data) + + # Write output + output_file.parent.mkdir(parents=True, exist_ok=True) + with open(output_file, 'w', encoding='utf-8') as f: + f.write(html) + + print(f"Generated {output_file}") + return True + + except Exception as e: + print(f"Error generating HTML: {e}") + import traceback + traceback.print_exc() + return False + + +if __name__ == "__main__": + import sys + + # Default paths + input_file = Path("docs/benchmarks.json") + output_file = Path("docs/index.html") + + # Allow command line overrides + if len(sys.argv) > 1: + input_file = Path(sys.argv[1]) + if len(sys.argv) > 2: + output_file = Path(sys.argv[2]) + + success = generate_basic_html(input_file, output_file) + sys.exit(0 if success else 1) diff --git a/ci/generate_dashboard_data.py b/ci/generate_dashboard_data.py new file mode 100644 index 0000000..efe1567 --- /dev/null +++ b/ci/generate_dashboard_data.py @@ -0,0 +1,332 @@ +""" +Generate Dashboard Data - Pure Function + +Extracts structured data from evaluation JSON files for dashboard rendering. +This is a pure function - no side effects. +""" + +import json +import re +from pathlib import Path +from typing import Any + + +def extract_judgment_reasoning(judgment: dict) -> str: + """ + Extract judgment reasoning with code examples. + + The judgment contains reasoning text. We want to extract key insights + and highlight code that demonstrates the skill application. + + Args: + judgment: Judgment dictionary from evaluation results + + Returns: + Formatted reasoning string with code references + """ + reasoning = judgment.get('reasoning', 'No reasoning provided') + + # Add rating context + a_rating = judgment.get('option_a_rating', 'unknown') + b_rating = judgment.get('option_b_rating', 'unknown') + + context = f"Baseline rated: {a_rating} | With Skill rated: {b_rating}\n\n" + + return context + reasoning + + +def extract_code_from_test_results(test_results: list, provider: str) -> tuple[str, str]: + """ + Extract before/after code from test results. + + For provider-specific code extraction: + - Ollama responses are typically raw code + - Copilot responses may have markdown formatting + + Args: + test_results: List of test result dictionaries + provider: The provider name for formatting + + Returns: + Tuple of (before_code, after_code) as strings + """ + before_parts = [] + after_parts = [] + + for test in test_results: + # Extract before code (baseline) + baseline = test.get('baseline', {}) + before_response = baseline.get('response_full', '') + if before_response: + before_parts.append(f"// Test: {test.get('name', 'unknown')}\n{before_response}") + + # Extract after code (skill) + skill = test.get('skill', {}) + after_response = skill.get('response_full', '') + if after_response: + after_parts.append(f"// Test: {test.get('name', 'unknown')}\n{after_response}") + + before_code = "\n\n".join(before_parts) if before_parts else "// No code generated" + after_code = "\n\n".join(after_parts) if after_parts else "// No code generated" + + return before_code, after_code + + +def normalize_rating(rating: str) -> str: + """ + Normalize rating values to consistent format. + + Args: + rating: Raw rating string + + Returns: + Normalized rating string + """ + if not rating: + return "vague" + + rating = str(rating).lower().strip() + + valid_ratings = ["vague", "regular", "good", "outstanding"] + if rating in valid_ratings: + return rating + + # Map numeric values + if rating in ["0", "1", "2", "3"]: + mapping = {"0": "vague", "1": "regular", "2": "good", "3": "outstanding"} + return mapping[rating] + + return "vague" + + +def process_benchmark_file(file_path: Path) -> dict | None: + """ + Process a single benchmark JSON file and extract structured data. + + Args: + file_path: Path to the benchmark JSON file + + Returns: + Structured benchmark data dict or None if processing fails + """ + try: + with open(file_path, 'r', encoding='utf-8') as f: + data = json.load(f) + except (json.JSONDecodeError, IOError) as e: + print(f"Error reading {file_path}: {e}") + return None + + # Extract timestamp from filename or data + timestamp = data.get('timestamp', '') + if not timestamp: + # Extract from filename if no timestamp in data + match = re.search(r'(\d{4}-\d{2}-\d{2}T\d{2}-\d{2}-\d{2})', file_path.stem) + if match: + timestamp = match.group(1).replace('T', ' ') + + # Get provider and model from filename or data + filename = file_path.stem + if 'ollama' in filename: + provider = 'ollama' + elif 'copilot' in filename: + provider = 'copilot' + elif 'gemini' in filename: + provider = 'gemini' + else: + provider = 'unknown' + + # Extract model name from filename + # Pattern: benchmark-ollama-modelname-timestamp + model_match = re.search(r'benchmark-[^-]+-([^--]+)-\d{4}', filename) + if model_match: + model = model_match.group(1) + else: + model = 'unknown' + + # Get results from data + results = data.get('results', []) + if not results: + return None + + # Build skills list + skills = [] + for result in results: + judgment = result.get('judgment', {}) + + # Get before/after code from test results + test_results = result.get('results', []) + before_code, after_code = extract_code_from_test_results(test_results, provider) + + # Determine improvement + overall_better = judgment.get('overall_better', 'Equal') + if overall_better == 'B': + improvement = 'yes' + elif overall_better == 'A': + improvement = 'no' + else: + improvement = 'neutral' + + skill_data = { + 'skill_name': result.get('skill', 'unknown'), + 'provider': provider, + 'model': model, + 'timestamp': timestamp, + 'baseline_rating': normalize_rating(judgment.get('option_a_rating', '')), + 'skill_rating': normalize_rating(judgment.get('option_b_rating', '')), + 'improvement': improvement, + 'reasoning': extract_judgment_reasoning(judgment), + 'before_code': before_code, + 'after_code': after_code, + 'judgment': judgment + } + skills.append(skill_data) + + return { + 'benchmark_id': file_path.stem, + 'timestamp': timestamp, + 'provider': provider, + 'model': model, + 'skills': skills + } + + +def collect_all_benchmarks(benchmarks_dir: Path) -> list[dict]: + """ + Collect all benchmark data from a directory. + + Args: + benchmarks_dir: Directory containing benchmark JSON files + + Returns: + List of structured benchmark data + """ + if not benchmarks_dir.exists(): + return [] + + all_data = [] + + # Look for summary.json files + for summary_file in benchmarks_dir.glob('**/summary.json'): + data = process_benchmark_file(summary_file) + if data: + all_data.append(data) + + # Also look for benchmark-*.json files + for benchmark_file in benchmarks_dir.glob('**/benchmark-*.json'): + data = process_benchmark_file(benchmark_file) + if data: + all_data.append(data) + + # Sort by timestamp (newest first) + all_data.sort(key=lambda x: x.get('timestamp', ''), reverse=True) + + return all_data + + +def build_aggregated_data(benchmarks: list[dict]) -> dict: + """ + Build aggregated data from individual benchmarks. + + Args: + benchmarks: List of benchmark data + + Returns: + Aggregated data dict + """ + if not benchmarks: + return {'benchmarks': [], 'summary': {}} + + # Collect all skills with unique names + skill_names = set() + provider_models = set() + + for benchmark in benchmarks: + for skill in benchmark.get('skills', []): + skill_names.add(skill.get('skill_name', 'unknown')) + provider_models.add((benchmark.get('provider', ''), benchmark.get('model', ''))) + + # Count improvements + total_skills = 0 + improvements = 0 + regressions = 0 + neutral = 0 + + for benchmark in benchmarks: + for skill in benchmark.get('skills', []): + total_skills += 1 + if skill.get('improvement') == 'yes': + improvements += 1 + elif skill.get('improvement') == 'no': + regressions += 1 + else: + neutral += 1 + + # Build summary + summary = { + 'total_benchmarks': len(benchmarks), + 'total_skills': total_skills, + 'improvements': improvements, + 'regressions': regressions, + 'neutral': neutral, + 'improvement_rate': round((improvements / total_skills * 100) if total_skills > 0 else 0, 1) + } + + return { + 'benchmarks': benchmarks, + 'summary': summary, + 'unique_skills': sorted(list(skill_names)), + 'provider_models': sorted(list(provider_models)) + } + + +def generate_dashboard_data(benchmarks_dir: Path, output_file: Path) -> bool: + """ + Main function: Generate dashboard data from benchmark files. + + Pure function - only reads from benchmarks_dir, writes to output_file. + + Args: + benchmarks_dir: Directory containing benchmark JSON files + output_file: Path to write aggregated data JSON + + Returns: + True if successful, False otherwise + """ + try: + # Collect all benchmarks + benchmarks = collect_all_benchmarks(benchmarks_dir) + + # Build aggregated data + aggregated = build_aggregated_data(benchmarks) + + # Write output + output_file.parent.mkdir(parents=True, exist_ok=True) + with open(output_file, 'w', encoding='utf-8') as f: + json.dump(aggregated, f, indent=2) + + print(f"Generated {output_file}") + print(f" Benchmarks: {aggregated['summary'].get('total_benchmarks', 0)}") + print(f" Skills: {aggregated['summary'].get('total_skills', 0)}") + + return True + + except Exception as e: + print(f"Error generating dashboard data: {e}") + return False + + +if __name__ == "__main__": + import sys + + # Default paths + benchmarks_dir = Path("docs/benchmarks") + output_file = Path("docs/benchmarks.json") + + # Allow command line overrides + if len(sys.argv) > 1: + benchmarks_dir = Path(sys.argv[1]) + if len(sys.argv) > 2: + output_file = Path(sys.argv[2]) + + success = generate_dashboard_data(benchmarks_dir, output_file) + sys.exit(0 if success else 1) diff --git a/ci/orphan_branch_manager.py b/ci/orphan_branch_manager.py new file mode 100644 index 0000000..7c79fac --- /dev/null +++ b/ci/orphan_branch_manager.py @@ -0,0 +1,284 @@ +""" +Orphan Branch Manager - Adapter for Git Operations + +Handles operations on the benchmark-history orphan branch. +Encapsulates git operations behind a clean interface. +""" + +import subprocess +from pathlib import Path +from typing import Optional, Tuple +from dataclasses import dataclass + + +@dataclass(frozen=True) +class GitResult: + """Result of a git operation.""" + success: bool + message: str + output: Optional[str] = None + + +class OrphanBranchManager: + """ + Manages operations on the benchmark-history orphan branch. + + This adapter encapsulates git operations, making them testable + and easy to modify if git strategy changes. + """ + + def __init__(self, repo_path: Path, branch_name: str = "benchmark-history"): + """ + Initialize the manager. + + Args: + repo_path: Path to the git repository + branch_name: Name of the orphan branch to use + """ + self.repo_path = repo_path + self.branch_name = branch_name + + def _run_git(self, *args: str) -> GitResult: + """ + Run a git command. + + Args: + *args: Git command arguments + + Returns: + GitResult with success status and output + """ + try: + result = subprocess.run( + ["git"] + list(args), + cwd=self.repo_path, + capture_output=True, + text=True, + check=False + ) + if result.returncode == 0: + return GitResult( + success=True, + message="Command succeeded", + output=result.stdout.strip() if result.stdout else None + ) + else: + return GitResult( + success=False, + message=result.stderr.strip() if result.stderr else "Command failed" + ) + except Exception as e: + return GitResult( + success=False, + message=str(e) + ) + + def branch_exists(self) -> bool: + """ + Check if the orphan branch exists. + + Returns: + True if branch exists, False otherwise + """ + result = self._run_git("rev-parse", "--verify", self.branch_name, "2>/dev/null") + return result.success + + def create_orphan_branch(self) -> GitResult: + """ + Create the orphan branch. + + Returns: + GitResult with success status + """ + if self.branch_exists(): + return GitResult( + success=False, + message=f"Branch '{self.branch_name}' already exists" + ) + + result = self._run_git("checkout", "--orphan", self.branch_name) + if result.success: + # Remove all files to start fresh + self._run_git("rm", "-rf", ".") + # Create initial commit + self._run_git("commit", "--allow-empty", "-m", f"Initial {self.branch_name} commit") + + return result + + def checkout_branch(self) -> GitResult: + """ + Checkout the orphan branch. + + Returns: + GitResult with success status + """ + if not self.branch_exists(): + return self.create_orphan_branch() + + return self._run_git("checkout", self.branch_name) + + def copy_files_to_branch(self, source_dir: Path, dest_dir: Optional[str] = None) -> GitResult: + """ + Copy files from source to the branch. + + Args: + source_dir: Source directory to copy from + dest_dir: Destination directory relative to repo root + + Returns: + GitResult with success status + """ + dest = self.repo_path / (dest_dir or "") + dest.mkdir(parents=True, exist_ok=True) + + try: + import shutil + shutil.copytree(source_dir, dest, dirs_exist_ok=True) + return GitResult(success=True, message=f"Copied files to {dest}") + except Exception as e: + return GitResult(success=False, message=str(e)) + + def add_all_files(self) -> GitResult: + """ + Add all files in the repo to staging. + + Returns: + GitResult with success status + """ + return self._run_git("add", ".") + + def commit(self, message: str) -> GitResult: + """ + Commit staged changes. + + Args: + message: Commit message + + Returns: + GitResult with success status + """ + return self._run_git("commit", "-m", message) + + def push(self, remote: str = "origin") -> GitResult: + """ + Push the branch to remote. + + Args: + remote: Remote repository name + + Returns: + GitResult with success status + """ + return self._run_git("push", "-f", remote, self.branch_name) + + def reset_hard(self) -> GitResult: + """ + Reset branch to clean state (delete all changes). + + Returns: + GitResult with success status + """ + return self._run_git("reset", "--hard", "HEAD") + + def clean_untracked(self) -> GitResult: + """ + Remove untracked files. + + Returns: + GitResult with success status + """ + return self._run_git("clean", "-fd") + + def get_branch_status(self) -> Tuple[str, str]: + """ + Get current branch status. + + Returns: + Tuple of (branch_name, commit_hash) + """ + branch_result = self._run_git("rev-parse", "--abbrev-ref", "HEAD") + commit_result = self._run_git("rev-parse", "HEAD") + + branch = branch_result.output or "unknown" + commit = commit_result.output or "unknown" + + return branch, commit + + +def manage_benchmark_branch( + repo_path: Path, + docs_dir: Path, + branch_name: str = "benchmark-history" +) -> bool: + """ + Convenience function: Manage the benchmark branch end-to-end. + + This is the main entry point for most use cases. + + Args: + repo_path: Path to the git repository + docs_dir: Path to the docs directory to push + branch_name: Name of the orphan branch + + Returns: + True if successful, False otherwise + """ + manager = OrphanBranchManager(repo_path, branch_name) + + print(f"Managing orphan branch: {branch_name}") + + # Checkout branch (create if needed) + result = manager.checkout_branch() + if not result.success: + print(f"Error checking out branch: {result.message}") + return False + print(f"Checked out branch: {branch_name}") + + # Clean branch + result = manager.clean_untracked() + if not result.success: + print(f"Warning: Could not clean untracked files: {result.message}") + + # Copy docs to branch + result = manager.copy_files_to_branch(docs_dir) + if not result.success: + print(f"Error copying files: {result.message}") + return False + print(f"Copied docs to branch") + + # Add and commit + result = manager.add_all_files() + if not result.success: + print(f"Error adding files: {result.message}") + return False + + result = manager.commit("Update benchmark data") + if not result.success: + # Check if nothing to commit + status_result = manager._run_git("status", "--porcelain") + if not status_result.output: + print("No changes to commit") + return True + print(f"Error committing: {result.message}") + return False + print("Committed changes") + + # Push to remote + result = manager.push() + if not result.success: + print(f"Error pushing: {result.message}") + return False + print("Pushed to remote") + + return True + + +if __name__ == "__main__": + import sys + + repo_path = Path(__file__).parent.parent + docs_dir = repo_path / "docs" + branch_name = "benchmark-history" + + success = manage_benchmark_branch(repo_path, docs_dir, branch_name) + sys.exit(0 if success else 1) diff --git a/ci/publish_benchmarks.py b/ci/publish_benchmarks.py new file mode 100644 index 0000000..abd2a88 --- /dev/null +++ b/ci/publish_benchmarks.py @@ -0,0 +1,137 @@ +#!/usr/bin/env python3 +""" +Publish Benchmarks - Orchestration Script + +Main entry point for publishing benchmark results. +Coordinates all steps: run evaluation, generate data, create HTML, push to orphan branch. +""" + +import argparse +import subprocess +import sys +from pathlib import Path + + +def run_benchmark(provider: str, model: str, skill: str | None = None) -> bool: + """ + Run benchmark evaluation. + + Args: + provider: Provider name (ollama, copilot, gemini) + model: Model name + skill: Optional specific skill to test + + Returns: + True if successful, False otherwise + """ + cmd = [ + "uv", "run", "--project", "tests", "tests/evaluator.py", + "--provider", provider, + "--model", model, + "--judge", + "--verbose", + "--report", + ] + + if skill: + cmd.extend(["--skill", skill]) + + print(f"Running benchmark: provider={provider}, model={model}") + print(f"Command: {' '.join(cmd)}") + + result = subprocess.run(cmd, cwd=Path(__file__).parent.parent) + + return result.returncode == 0 + + +def collect_and_generate(benchmarks_dir: Path, output_dir: Path) -> bool: + """ + Collect benchmark data and generate HTML. + + Args: + benchmarks_dir: Directory containing benchmark JSON files + output_dir: Directory to write generated files + + Returns: + True if successful, False otherwise + """ + from generate_dashboard_data import generate_dashboard_data + from generate_basic_html import generate_basic_html + + # Generate aggregated JSON + data_file = output_dir / "benchmarks.json" + if not generate_dashboard_data(benchmarks_dir, data_file): + print("Error generating dashboard data") + return False + + # Generate HTML + html_file = output_dir / "index.html" + if not generate_basic_html(data_file, html_file): + print("Error generating HTML") + return False + + return True + + +def push_to_orphan_branch(repo_path: Path, docs_dir: Path, branch_name: str) -> bool: + """ + Push benchmark files to orphan branch. + + Args: + repo_path: Path to git repository + docs_dir: Path to docs directory + branch_name: Name of orphan branch + + Returns: + True if successful, False otherwise + """ + from orphan_branch_manager import manage_benchmark_branch + + return manage_benchmark_branch(repo_path, docs_dir, branch_name) + + +def main() -> int: + """Main entry point.""" + parser = argparse.ArgumentParser(description="Publish benchmark results") + parser.add_argument("--provider", required=True, help="Provider name") + parser.add_argument("--model", required=True, help="Model name") + parser.add_argument("--skill", help="Optional specific skill to test") + parser.add_argument("--branch", default="benchmark-history", help="Orphan branch name") + parser.add_argument("--no-benchmark", action="store_true", help="Skip benchmark run") + parser.add_argument("--no-push", action="store_true", help="Skip pushing to orphan branch") + + args = parser.parse_args() + + repo_path = Path(__file__).parent.parent + benchmarks_dir = repo_path / "tests" / "results" + docs_dir = repo_path / "docs" + + # Step 1: Run benchmark if requested + if not args.no_benchmark: + if not run_benchmark(args.provider, args.model, args.skill): + print("Benchmark run failed") + return 1 + else: + print("Skipping benchmark run") + + # Step 2: Generate dashboard data and HTML + print("\nGenerating dashboard data...") + if not collect_and_generate(benchmarks_dir, docs_dir): + print("Dashboard generation failed") + return 1 + + # Step 3: Push to orphan branch if requested + if not args.no_push: + print("\nPushing to orphan branch...") + if not push_to_orphan_branch(repo_path, docs_dir, args.branch): + print("Push to orphan branch failed") + return 1 + else: + print("Skipping push to orphan branch") + + print("\nāœ“ Benchmark publishing completed successfully!") + return 0 + + +if __name__ == "__main__": + sys.exit(main()) diff --git a/ci/run_evaluation.py b/ci/run_evaluation.py index 73bc1f2..89705ee 100644 --- a/ci/run_evaluation.py +++ b/ci/run_evaluation.py @@ -9,9 +9,49 @@ import subprocess import sys import os +import re from pathlib import Path +def get_timestamp(): + """ + Get current timestamp for artifact naming. + + Returns: + Timestamp string in format YYYYMMDD-HHMMSS + """ + import time + return time.strftime('%Y%m%d-%H%M%S') + + +def get_timestamp_iso(): + """ + Get current timestamp in ISO format. + + Returns: + ISO timestamp string + """ + from datetime import datetime + return datetime.now().strftime('%Y-%m-%dT%H:%M:%S') + + +def extract_model_name(model: str) -> str: + """ + Extract clean model name for artifact naming. + + Args: + model: Full model name (e.g., qwen-coder-next:cloud) + + Returns: + Clean model name (e.g., qwen-coder-next-cloud) + """ + # Replace : and / with - + clean = model.replace(":", "-").replace("/", "-") + # Remove any trailing dots or dashes + clean = clean.strip("-.") + return clean + + def main(): if len(sys.argv) < 3: print("Usage: run_evaluation.py [threshold] [extra_args]") @@ -22,12 +62,19 @@ def main(): threshold = sys.argv[3] if len(sys.argv) > 3 else "50" extra_args = sys.argv[4] if len(sys.argv) > 4 else "" - # Results directory per provider/model for parallel execution - results_dir = Path("tests/results") / provider / model.replace(":", "_").replace("/", "_") + # Timestamp for artifact naming + timestamp = get_timestamp() + timestamp_iso = get_timestamp_iso() + model_clean = extract_model_name(model) + + # Results directory with timestamp for historical tracking + # Format: provider/model-timestamp + results_dir = Path("tests/results") / provider / f"{model_clean}-{timestamp}" results_dir.mkdir(parents=True, exist_ok=True) print(f"==> Running evaluation: {provider}/{model}") print(f" Results: {results_dir}") + print(f" Timestamp: {timestamp_iso}") print(f" Threshold: {threshold}") # Build skill arguments @@ -72,17 +119,25 @@ def main(): # Execute with live output exit_code = subprocess.run(cmd).returncode - + if exit_code == 0: print(f"[{provider}/{model}] āœ… Evaluation completed successfully") else: print(f"[{provider}/{model}] āŒ Evaluation failed with exit code {exit_code}") - # Save exit code for consolidation + # Save exit code and metadata for consolidation (results_dir / "exit_code").write_text(str(exit_code)) + (results_dir / "metadata.json").write_text(json.dumps({ + "provider": provider, + "model": model, + "timestamp": timestamp_iso, + "timestamp_epoch": timestamp, + "model_clean": model_clean + }, indent=2)) sys.exit(exit_code) if __name__ == "__main__": + import json main() diff --git a/docs/benchmarks.json b/docs/benchmarks.json new file mode 100644 index 0000000..89e1d34 --- /dev/null +++ b/docs/benchmarks.json @@ -0,0 +1,4 @@ +{ + "benchmarks": [], + "summary": {} +} \ No newline at end of file diff --git a/docs/index.html b/docs/index.html new file mode 100644 index 0000000..701f881 --- /dev/null +++ b/docs/index.html @@ -0,0 +1,341 @@ + + + + + + Programming Skills Benchmarks + + + + + + + + +
+
+
+
+
+
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0

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SkillProviderModelBeforeAfterImprovementView Details
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+ + + + + + + + + + + \ No newline at end of file diff --git a/docs/specs/benchmark-page.md b/docs/specs/benchmark-page.md new file mode 100644 index 0000000..db0d2ef --- /dev/null +++ b/docs/specs/benchmark-page.md @@ -0,0 +1,228 @@ +# Benchmark Dashboard Page Specification + +## Overview + +This spec describes the HTML/CSS/JS structure for the benchmark dashboard page. + +## Tech Stack (MVP) + +- **HTML5**: Semantic structure +- **Bootstrap 5**: CSS framework for layout and components +- **Vanilla JavaScript**: No build step, pure client-side +- **Chart.js (CDN)**: For future time series charts +- **Diff Match Patch (CDN)**: For code comparison highlighting + +## Page Structure + +```html + + + + + + + + + + + + +
+
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+
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+
Total Benchmarks
+

0

+
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-

+
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+ Filter by: + + +
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+ + + + + + + + + + + + + + + +
SkillProviderModelBeforeAfterImprovementView Details
+
+ + + + + + + + + + + + + + +``` + +## Data Loading + +```javascript +// Load aggregated data from docs/benchmarks.json +fetch('benchmarks.json') + .then(response => response.json()) + .then(data => { + renderSummary(data); + renderTable(data); + }); +``` + +## Table Row Structure + +```javascript +function renderTableRow(skill) { + return ` + + ${skill.name} + ${skill.provider} + ${skill.model} + ${skill.baseline_rating} + ${skill.skill_rating} + + ${skill.improvement === 'yes' + ? 'Yes' + : 'No'} + + + + `; +} +``` + +## Code Diff Highlighting (Future Enhancement) + +```javascript +function highlightCodeDiff(before, after) { + const dmp = new diff_match_patch(); + const diffs = dmp.diff_main(before, after); + dmp.diff_cleanupSemantic(diffs); + + return diffs.map(([op, text]) => { + if (op === 1) return `${text}`; // Add + if (op === -1) return `${text}`; // Remove + return text; + }).join(''); +} +``` + +## Chart.js Integration (Future) + +```javascript +function renderTimeSeriesChart(data) { + const ctx = document.getElementById('improvementChart').getContext('2d'); + new Chart(ctx, { + type: 'line', + data: { + labels: data.timestamps, + datasets: [{ + label: 'Average Improvement', + data: data.improvements, + borderColor: 'rgb(75, 192, 192)', + tension: 0.1 + }] + } + }); +} +``` + +## Future Enhancements + +1. **Time Series Charts**: Show improvement over time +2. **Provider Comparison**: Bar chart comparing providers +3. **Skill Heatmap**: Visual representation of improvement by skill +4. **Export Function**: Download results as CSV +5. **Version Comparison**: Compare any two benchmark runs diff --git a/docs/specs/benchmark-workflow.md b/docs/specs/benchmark-workflow.md new file mode 100644 index 0000000..1aaf223 --- /dev/null +++ b/docs/specs/benchmark-workflow.md @@ -0,0 +1,126 @@ +# Benchmark Dashboard Workflow Specification + +## Overview + +This spec describes the end-to-end workflow for running manual benchmarks and publishing results to GitHub Pages. + +## Trigger + +Manual trigger via GitHub Actions workflow dispatch with inputs: +- **provider**: Choice dropdown (ollama, copilot, gemini) +- **model**: Free text input (e.g., qwen-coder-next:cloud) + +## Data Flow + +``` +Manual GitHub Actions Trigger + inputs: provider (choice), model (string) + ā†“ +Run evaluation for provider/model ā†’ artifact/ + ā†“ +Download artifacts + ā†“ +Generate dashboard data (pure function) + ā†“ +Save to docs/benchmarks/{timestamp}.json + ā†“ +Push docs/ to benchmark-history orphan branch + ā†“ +Generate basic index.html + ā†“ +Commit & push index.html to orphan branch + ā†“ +GitHub Pages serves benchmark-history branch +``` + +## Folder Structure + +``` +docs/ +ā”œā”€ā”€ specs/ +ā”‚ ā”œā”€ā”€ benchmark-workflow.md # This file +ā”‚ ā””ā”€ā”€ benchmark-page.md # Page design spec (separate spec) +ā”œā”€ā”€ benchmarks/ # Generated data (auto-created) +ā”‚ ā”œā”€ā”€ {timestamp}.json # Individual benchmark results +ā”‚ ā””ā”€ā”€ index.html # Dashboard page +ā””ā”€ā”€ benchmarks.json # Aggregated data for quick access +``` + +## Files + +### `.github/workflows/benchmark-dashboard.yml` + +GitHub Actions workflow that: +1. Accepts manual trigger with provider/model inputs +2. Runs evaluation using existing evaluator.py +3. Downloads and consolidates results +4. Pushes to orphan branch + +### `ci/publish_benchmarks.py` + +Main orchestration script: +- Coordinates all steps +- Handles errors gracefully +- Writes to docs/benchmarks/ + +### `ci/orphan_branch_manager.py` + +Handles orphan branch operations: +- Creates/updates benchmark-history branch +- Manages git operations +- Ensures clean commits + +### `ci/generate_dashboard_data.py` + +Pure function that: +- Reads evaluation JSON files +- Extracts structured data for dashboard +- Returns consistent format + +### `ci/generate_basic_html.py` + +Pure function that: +- Takes structured data +- Generates Bootstrap-styled HTML +- Outputs index.html + +## Output Format + +```json +{ + "benchmark_id": "ollama-qwen-coder-next-cloud-2026-02-07T12-00-00", + "timestamp": "2026-02-07T12:00:00Z", + "provider": "ollama", + "model": "qwen-coder-next:cloud", + "skills": [ + { + "name": "ps-composition-over-coordination", + "baseline_rating": "good", + "skill_rating": "outstanding", + "improvement": "yes", + "reasoning": "...", + "before_code": "original code...", + "after_code": "improved code..." + } + ] +} +``` + +## HTML Structure + +``` +Bootstrap 5 + minimal JS +ā”œā”€ā”€ Header (title, timestamp, provider/model info) +ā”œā”€ā”€ Summary cards (quick stats) +ā”œā”€ā”€ Skills table (filterable) +ā”‚ ā””ā”€ā”€ Click to expand for details +ā”‚ ā”œā”€ā”€ Judgment reasoning +ā”‚ ā”œā”€ā”€ Before/After code comparison +ā””ā”€ā”€ Footer (refresh button, source info) +``` + +## Orphan Branch: benchmark-history + +- Single branch for all benchmark data +- Contains: docs/benchmarks/ + docs/benchmarks.json +- GitHub Pages serves this branch directly diff --git a/tests/uv.lock b/tests/uv.lock index b599dbc..f818b56 100644 --- a/tests/uv.lock +++ b/tests/uv.lock @@ -6,393 +6,6 @@ resolution-markers = [ "python_full_version < '3.13.5'", ] -[[package]] -name = "a2a-sdk" -version = "0.3.22" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - 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