12591282da
Major rewrite based on deep study of Karpathy's autoresearch repo.
Architecture changes:
- Multi-experiment support: .autoresearch/{domain}/{name}/ structure
- Domain categories: engineering, marketing, content, prompts, custom
- Project-level (git-tracked, shareable) or user-level (~/.autoresearch/) scope
- User chooses scope during setup, not installation
New evaluators (8 ready-to-use):
- Free: benchmark_speed, benchmark_size, test_pass_rate, build_speed, memory_usage
- LLM judge (uses existing subscription): llm_judge_content, llm_judge_prompt, llm_judge_copy
- LLM judges call user's CLI tool (claude/codex/gemini) — no extra API keys needed
Script improvements:
- setup_experiment.py: --domain, --scope, --evaluator, --list, --list-evaluators
- run_experiment.py: --experiment domain/name, --resume, --loop, --single
- log_results.py: --dashboard, --domain, --format csv|markdown|terminal, --output
Results export:
- Terminal (default), CSV, and Markdown formats
- Per-experiment, per-domain, or cross-experiment dashboard view
SKILL.md rewritten:
- Clear activation triggers (when the skill should activate)
- Practical examples for each domain
- Evaluator documentation with cost transparency
- Simplified loop protocol matching Karpathy's original philosophy
56 lines
1.5 KiB
Python
56 lines
1.5 KiB
Python
#!/usr/bin/env python3
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"""Measure test suite pass rate.
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DO NOT MODIFY after experiment starts — this is the fixed evaluator."""
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import re
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import subprocess
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import sys
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# --- CONFIGURE THESE ---
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TEST_CMD = "pytest tests/ --tb=no -q" # Test command
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# --- END CONFIG ---
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result = subprocess.run(TEST_CMD, shell=True, capture_output=True, text=True, timeout=300)
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output = result.stdout + "\n" + result.stderr
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# Try to parse pytest output: "X passed, Y failed, Z errors"
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passed = failed = errors = 0
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# pytest short format: "5 passed, 2 failed in 1.23s"
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match = re.search(r"(\d+) passed", output)
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if match:
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passed = int(match.group(1))
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match = re.search(r"(\d+) failed", output)
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if match:
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failed = int(match.group(1))
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match = re.search(r"(\d+) error", output)
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if match:
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errors = int(match.group(1))
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total = passed + failed + errors
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if total == 0:
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# Try unittest format: "Ran X tests"
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match = re.search(r"Ran (\d+) test", output)
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if match:
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total = int(match.group(1))
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if result.returncode == 0:
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passed = total
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else:
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# Count failures from output
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fail_match = re.search(r"FAILED \(failures=(\d+)", output)
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if fail_match:
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failed = int(fail_match.group(1))
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passed = total - failed
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if total == 0:
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print("Could not parse test results", file=sys.stderr)
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print(f"Output: {output[:500]}", file=sys.stderr)
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sys.exit(1)
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rate = passed / total
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print(f"pass_rate: {rate:.4f}")
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print(f"passed: {passed}")
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print(f"failed: {failed}")
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print(f"total: {total}")
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