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.claude/skills/slack-gif-creator/.openskills.json new file: .claude/skills/slack-gif-creator/LICENSE.txt new file: .claude/skills/slack-gif-creator/SKILL.md new file: .claude/skills/slack-gif-creator/core/easing.py new file: .claude/skills/slack-gif-creator/core/frame_composer.py new file: .claude/skills/slack-gif-creator/core/gif_builder.py new file: .claude/skills/slack-gif-creator/core/validators.py new file: .claude/skills/slack-gif-creator/requirements.txt new file: .claude/skills/template/.openskills.json new file: .claude/skills/template/SKILL.md new file: .claude/skills/theme-factory/.openskills.json new file: .claude/skills/theme-factory/LICENSE.txt new file: .claude/skills/theme-factory/SKILL.md new file: .claude/skills/theme-factory/theme-showcase.pdf new file: .claude/skills/theme-factory/themes/arctic-frost.md new file: .claude/skills/theme-factory/themes/botanical-garden.md new file: .claude/skills/theme-factory/themes/desert-rose.md new file: .claude/skills/theme-factory/themes/forest-canopy.md new file: .claude/skills/theme-factory/themes/golden-hour.md new file: .claude/skills/theme-factory/themes/midnight-galaxy.md new file: .claude/skills/theme-factory/themes/modern-minimalist.md new file: .claude/skills/theme-factory/themes/ocean-depths.md new file: .claude/skills/theme-factory/themes/sunset-boulevard.md new file: .claude/skills/theme-factory/themes/tech-innovation.md new file: .claude/skills/web-artifacts-builder/.openskills.json new file: .claude/skills/web-artifacts-builder/LICENSE.txt new file: .claude/skills/web-artifacts-builder/SKILL.md new file: .claude/skills/web-artifacts-builder/scripts/bundle-artifact.sh new file: .claude/skills/web-artifacts-builder/scripts/init-artifact.sh new file: .claude/skills/web-artifacts-builder/scripts/shadcn-components.tar.gz new file: .claude/skills/webapp-testing/.openskills.json new file: .claude/skills/webapp-testing/LICENSE.txt new file: .claude/skills/webapp-testing/SKILL.md new file: .claude/skills/webapp-testing/examples/console_logging.py new file: .claude/skills/webapp-testing/examples/element_discovery.py new file: .claude/skills/webapp-testing/examples/static_html_automation.py new file: .claude/skills/webapp-testing/scripts/with_server.py new file: .claude/skills/xlsx/.openskills.json new file: .claude/skills/xlsx/LICENSE.txt new file: .claude/skills/xlsx/SKILL.md new file: .claude/skills/xlsx/scripts/office/helpers/__init__.py new file: .claude/skills/xlsx/scripts/office/helpers/merge_runs.py new file: .claude/skills/xlsx/scripts/office/helpers/simplify_redlines.py new file: .claude/skills/xlsx/scripts/office/pack.py new file: .claude/skills/xlsx/scripts/office/schemas/ISO-IEC29500-4_2016/dml-chart.xsd new file: .claude/skills/xlsx/scripts/office/schemas/ISO-IEC29500-4_2016/dml-chartDrawing.xsd new file: .claude/skills/xlsx/scripts/office/schemas/ISO-IEC29500-4_2016/dml-diagram.xsd new file: .claude/skills/xlsx/scripts/office/schemas/ISO-IEC29500-4_2016/dml-lockedCanvas.xsd new file: .claude/skills/xlsx/scripts/office/schemas/ISO-IEC29500-4_2016/dml-main.xsd new file: .claude/skills/xlsx/scripts/office/schemas/ISO-IEC29500-4_2016/dml-picture.xsd new file: .claude/skills/xlsx/scripts/office/schemas/ISO-IEC29500-4_2016/dml-spreadsheetDrawing.xsd new file: .claude/skills/xlsx/scripts/office/schemas/ISO-IEC29500-4_2016/dml-wordprocessingDrawing.xsd new file: .claude/skills/xlsx/scripts/office/schemas/ISO-IEC29500-4_2016/pml.xsd new file: .claude/skills/xlsx/scripts/office/schemas/ISO-IEC29500-4_2016/shared-additionalCharacteristics.xsd new file: .claude/skills/xlsx/scripts/office/schemas/ISO-IEC29500-4_2016/shared-bibliography.xsd new file: .claude/skills/xlsx/scripts/office/schemas/ISO-IEC29500-4_2016/shared-commonSimpleTypes.xsd new file: .claude/skills/xlsx/scripts/office/schemas/ISO-IEC29500-4_2016/shared-customXmlDataProperties.xsd new file: .claude/skills/xlsx/scripts/office/schemas/ISO-IEC29500-4_2016/shared-customXmlSchemaProperties.xsd new file: .claude/skills/xlsx/scripts/office/schemas/ISO-IEC29500-4_2016/shared-documentPropertiesCustom.xsd new file: .claude/skills/xlsx/scripts/office/schemas/ISO-IEC29500-4_2016/shared-documentPropertiesExtended.xsd new file: .claude/skills/xlsx/scripts/office/schemas/ISO-IEC29500-4_2016/shared-documentPropertiesVariantTypes.xsd new file: .claude/skills/xlsx/scripts/office/schemas/ISO-IEC29500-4_2016/shared-math.xsd new file: .claude/skills/xlsx/scripts/office/schemas/ISO-IEC29500-4_2016/shared-relationshipReference.xsd new file: .claude/skills/xlsx/scripts/office/schemas/ISO-IEC29500-4_2016/sml.xsd new file: .claude/skills/xlsx/scripts/office/schemas/ISO-IEC29500-4_2016/vml-main.xsd new file: .claude/skills/xlsx/scripts/office/schemas/ISO-IEC29500-4_2016/vml-officeDrawing.xsd new file: .claude/skills/xlsx/scripts/office/schemas/ISO-IEC29500-4_2016/vml-presentationDrawing.xsd new file: .claude/skills/xlsx/scripts/office/schemas/ISO-IEC29500-4_2016/vml-spreadsheetDrawing.xsd new file: .claude/skills/xlsx/scripts/office/schemas/ISO-IEC29500-4_2016/vml-wordprocessingDrawing.xsd new file: .claude/skills/xlsx/scripts/office/schemas/ISO-IEC29500-4_2016/wml.xsd new file: .claude/skills/xlsx/scripts/office/schemas/ISO-IEC29500-4_2016/xml.xsd new file: .claude/skills/xlsx/scripts/office/schemas/ecma/fouth-edition/opc-contentTypes.xsd new file: .claude/skills/xlsx/scripts/office/schemas/ecma/fouth-edition/opc-coreProperties.xsd new file: .claude/skills/xlsx/scripts/office/schemas/ecma/fouth-edition/opc-digSig.xsd new file: .claude/skills/xlsx/scripts/office/schemas/ecma/fouth-edition/opc-relationships.xsd new file: .claude/skills/xlsx/scripts/office/schemas/mce/mc.xsd new file: .claude/skills/xlsx/scripts/office/schemas/microsoft/wml-2010.xsd new file: .claude/skills/xlsx/scripts/office/schemas/microsoft/wml-2012.xsd new file: .claude/skills/xlsx/scripts/office/schemas/microsoft/wml-2018.xsd new file: .claude/skills/xlsx/scripts/office/schemas/microsoft/wml-cex-2018.xsd new file: .claude/skills/xlsx/scripts/office/schemas/microsoft/wml-cid-2016.xsd new file: .claude/skills/xlsx/scripts/office/schemas/microsoft/wml-sdtdatahash-2020.xsd new file: .claude/skills/xlsx/scripts/office/schemas/microsoft/wml-symex-2015.xsd new file: .claude/skills/xlsx/scripts/office/soffice.py new file: .claude/skills/xlsx/scripts/office/unpack.py new file: .claude/skills/xlsx/scripts/office/validate.py new file: .claude/skills/xlsx/scripts/office/validators/__init__.py new file: .claude/skills/xlsx/scripts/office/validators/base.py new file: .claude/skills/xlsx/scripts/office/validators/docx.py new file: .claude/skills/xlsx/scripts/office/validators/pptx.py new file: .claude/skills/xlsx/scripts/office/validators/redlining.py new file: .claude/skills/xlsx/scripts/recalc.py new file: .env.example new file: .gitignore new file: config/mcp.json new file: config/models.json new file: config/personalities.json new file: docs/AGENTS.md new file: docs/AI_IMPLEMENTATION.md new file: docs/AI_INTEGRATION_COMPLETE.md new file: docs/AI_QUICKSTART.md new file: docs/AI_SUMMARY.md new file: docs/CHANGELOG.md new file: docs/CONFIG_GUIDE.md new file: docs/FIXES.md new file: docs/PROJECT_REFACTOR.md new file: docs/README.md new file: docs/README_INDEX.md new file: examples/ai_example.py new file: main.py new file: pytest.ini new file: requirements.txt new file: scripts/migrate_to_vector_db.py new file: skills/cmd_zip_skill/README.md new file: skills/cmd_zip_skill/__init__.py new file: skills/cmd_zip_skill/main.py new file: skills/cmd_zip_skill/skill.json new file: skills/cmd_zip_skill_1772465404375/README.md new file: skills/cmd_zip_skill_1772465404375/__init__.py new file: skills/cmd_zip_skill_1772465404375/main.py new file: skills/cmd_zip_skill_1772465404375/skill.json new file: skills/cmd_zip_skill_1772465434774/README.md new file: skills/cmd_zip_skill_1772465434774/__init__.py new file: skills/cmd_zip_skill_1772465434774/main.py new file: skills/cmd_zip_skill_1772465434774/skill.json new file: skills/cmd_zip_skill_1772465467809/README.md new file: skills/cmd_zip_skill_1772465467809/__init__.py new file: skills/cmd_zip_skill_1772465467809/main.py new file: skills/cmd_zip_skill_1772465467809/skill.json new file: skills/cmd_zip_skill_1772465652075/README.md new file: skills/cmd_zip_skill_1772465652075/__init__.py new file: skills/cmd_zip_skill_1772465652075/main.py new file: skills/cmd_zip_skill_1772465652075/skill.json new file: skills/cmd_zip_skill_1772465685352/README.md new file: skills/cmd_zip_skill_1772465685352/__init__.py new file: skills/cmd_zip_skill_1772465685352/main.py new file: skills/cmd_zip_skill_1772465685352/skill.json new file: skills/cmd_zip_skill_1772465936294/README.md new file: skills/cmd_zip_skill_1772465936294/__init__.py new file: skills/cmd_zip_skill_1772465936294/main.py new file: skills/cmd_zip_skill_1772465936294/skill.json new file: skills/cmd_zip_skill_1772465966322/README.md new file: skills/cmd_zip_skill_1772465966322/__init__.py new file: skills/cmd_zip_skill_1772465966322/main.py new file: skills/cmd_zip_skill_1772465966322/skill.json new file: skills/cmd_zip_skill_1772466071278/README.md new file: skills/cmd_zip_skill_1772466071278/__init__.py new file: skills/cmd_zip_skill_1772466071278/main.py new file: skills/cmd_zip_skill_1772466071278/skill.json new file: skills/skills_creator/README.md new file: skills/skills_creator/__init__.py new file: skills/skills_creator/main.py new file: skills/skills_creator/skill.json new file: src/__init__.py new file: src/ai/__init__.py new file: src/ai/base.py new file: src/ai/client.py new file: src/ai/docs/README.md new file: src/ai/mcp/__init__.py new file: src/ai/mcp/base.py new file: src/ai/mcp/servers/__init__.py new file: src/ai/mcp/servers/filesystem.py new file: src/ai/memory.py new file: src/ai/models/__init__.py new file: src/ai/models/anthropic_model.py new file: src/ai/models/openai_model.py new file: src/ai/personality.py new file: src/ai/skills/__init__.py new file: src/ai/skills/base.py new file: src/ai/task_manager.py new file: src/ai/vector_store/__init__.py new file: src/ai/vector_store/base.py new file: src/ai/vector_store/chroma_store.py new file: src/ai/vector_store/json_store.py new file: src/core/__init__.py new file: src/core/bot.py new file: src/core/config.py new file: src/handlers/__init__.py new file: src/handlers/message_handler.py new file: src/handlers/message_handler_ai.py new file: src/utils/__init__.py new file: src/utils/logger.py new file: start.bat new file: tests/test_ai.py
This commit is contained in:
Mimikko-zeus
332
.claude/skills/skill-creator/scripts/run_loop.py
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332
.claude/skills/skill-creator/scripts/run_loop.py
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#!/usr/bin/env python3
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"""Run the eval + improve loop until all pass or max iterations reached.
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Combines run_eval.py and improve_description.py in a loop, tracking history
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and returning the best description found. Supports train/test split to prevent
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overfitting.
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"""
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import argparse
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import json
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import random
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import sys
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import tempfile
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import time
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import webbrowser
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from pathlib import Path
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import anthropic
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from scripts.generate_report import generate_html
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from scripts.improve_description import improve_description
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from scripts.run_eval import find_project_root, run_eval
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from scripts.utils import parse_skill_md
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def split_eval_set(eval_set: list[dict], holdout: float, seed: int = 42) -> tuple[list[dict], list[dict]]:
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"""Split eval set into train and test sets, stratified by should_trigger."""
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random.seed(seed)
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# Separate by should_trigger
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trigger = [e for e in eval_set if e["should_trigger"]]
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no_trigger = [e for e in eval_set if not e["should_trigger"]]
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# Shuffle each group
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random.shuffle(trigger)
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random.shuffle(no_trigger)
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# Calculate split points
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n_trigger_test = max(1, int(len(trigger) * holdout))
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n_no_trigger_test = max(1, int(len(no_trigger) * holdout))
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# Split
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test_set = trigger[:n_trigger_test] + no_trigger[:n_no_trigger_test]
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train_set = trigger[n_trigger_test:] + no_trigger[n_no_trigger_test:]
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return train_set, test_set
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def run_loop(
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eval_set: list[dict],
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skill_path: Path,
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description_override: str | None,
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num_workers: int,
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timeout: int,
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max_iterations: int,
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runs_per_query: int,
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trigger_threshold: float,
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holdout: float,
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model: str,
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verbose: bool,
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live_report_path: Path | None = None,
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log_dir: Path | None = None,
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) -> dict:
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"""Run the eval + improvement loop."""
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project_root = find_project_root()
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name, original_description, content = parse_skill_md(skill_path)
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current_description = description_override or original_description
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# Split into train/test if holdout > 0
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if holdout > 0:
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train_set, test_set = split_eval_set(eval_set, holdout)
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if verbose:
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print(f"Split: {len(train_set)} train, {len(test_set)} test (holdout={holdout})", file=sys.stderr)
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else:
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train_set = eval_set
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test_set = []
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client = anthropic.Anthropic()
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history = []
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exit_reason = "unknown"
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for iteration in range(1, max_iterations + 1):
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if verbose:
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print(f"\n{'='*60}", file=sys.stderr)
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print(f"Iteration {iteration}/{max_iterations}", file=sys.stderr)
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print(f"Description: {current_description}", file=sys.stderr)
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print(f"{'='*60}", file=sys.stderr)
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# Evaluate train + test together in one batch for parallelism
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all_queries = train_set + test_set
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t0 = time.time()
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all_results = run_eval(
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eval_set=all_queries,
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skill_name=name,
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description=current_description,
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num_workers=num_workers,
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timeout=timeout,
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project_root=project_root,
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runs_per_query=runs_per_query,
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trigger_threshold=trigger_threshold,
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model=model,
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)
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eval_elapsed = time.time() - t0
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# Split results back into train/test by matching queries
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train_queries_set = {q["query"] for q in train_set}
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train_result_list = [r for r in all_results["results"] if r["query"] in train_queries_set]
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test_result_list = [r for r in all_results["results"] if r["query"] not in train_queries_set]
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train_passed = sum(1 for r in train_result_list if r["pass"])
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train_total = len(train_result_list)
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train_summary = {"passed": train_passed, "failed": train_total - train_passed, "total": train_total}
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train_results = {"results": train_result_list, "summary": train_summary}
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if test_set:
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test_passed = sum(1 for r in test_result_list if r["pass"])
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test_total = len(test_result_list)
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test_summary = {"passed": test_passed, "failed": test_total - test_passed, "total": test_total}
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test_results = {"results": test_result_list, "summary": test_summary}
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else:
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test_results = None
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test_summary = None
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history.append({
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"iteration": iteration,
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"description": current_description,
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"train_passed": train_summary["passed"],
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"train_failed": train_summary["failed"],
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"train_total": train_summary["total"],
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"train_results": train_results["results"],
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"test_passed": test_summary["passed"] if test_summary else None,
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"test_failed": test_summary["failed"] if test_summary else None,
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"test_total": test_summary["total"] if test_summary else None,
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"test_results": test_results["results"] if test_results else None,
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# For backward compat with report generator
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"passed": train_summary["passed"],
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"failed": train_summary["failed"],
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"total": train_summary["total"],
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"results": train_results["results"],
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})
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# Write live report if path provided
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if live_report_path:
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partial_output = {
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"original_description": original_description,
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"best_description": current_description,
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"best_score": "in progress",
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"iterations_run": len(history),
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"holdout": holdout,
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"train_size": len(train_set),
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"test_size": len(test_set),
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"history": history,
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}
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live_report_path.write_text(generate_html(partial_output, auto_refresh=True, skill_name=name))
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if verbose:
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def print_eval_stats(label, results, elapsed):
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pos = [r for r in results if r["should_trigger"]]
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neg = [r for r in results if not r["should_trigger"]]
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tp = sum(r["triggers"] for r in pos)
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pos_runs = sum(r["runs"] for r in pos)
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fn = pos_runs - tp
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fp = sum(r["triggers"] for r in neg)
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neg_runs = sum(r["runs"] for r in neg)
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tn = neg_runs - fp
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total = tp + tn + fp + fn
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precision = tp / (tp + fp) if (tp + fp) > 0 else 1.0
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recall = tp / (tp + fn) if (tp + fn) > 0 else 1.0
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accuracy = (tp + tn) / total if total > 0 else 0.0
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print(f"{label}: {tp+tn}/{total} correct, precision={precision:.0%} recall={recall:.0%} accuracy={accuracy:.0%} ({elapsed:.1f}s)", file=sys.stderr)
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for r in results:
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status = "PASS" if r["pass"] else "FAIL"
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rate_str = f"{r['triggers']}/{r['runs']}"
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print(f" [{status}] rate={rate_str} expected={r['should_trigger']}: {r['query'][:60]}", file=sys.stderr)
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print_eval_stats("Train", train_results["results"], eval_elapsed)
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if test_summary:
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print_eval_stats("Test ", test_results["results"], 0)
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if train_summary["failed"] == 0:
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exit_reason = f"all_passed (iteration {iteration})"
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if verbose:
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print(f"\nAll train queries passed on iteration {iteration}!", file=sys.stderr)
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break
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if iteration == max_iterations:
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exit_reason = f"max_iterations ({max_iterations})"
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if verbose:
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print(f"\nMax iterations reached ({max_iterations}).", file=sys.stderr)
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break
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# Improve the description based on train results
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if verbose:
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print(f"\nImproving description...", file=sys.stderr)
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t0 = time.time()
|
||||
# Strip test scores from history so improvement model can't see them
|
||||
blinded_history = [
|
||||
{k: v for k, v in h.items() if not k.startswith("test_")}
|
||||
for h in history
|
||||
]
|
||||
new_description = improve_description(
|
||||
client=client,
|
||||
skill_name=name,
|
||||
skill_content=content,
|
||||
current_description=current_description,
|
||||
eval_results=train_results,
|
||||
history=blinded_history,
|
||||
model=model,
|
||||
log_dir=log_dir,
|
||||
iteration=iteration,
|
||||
)
|
||||
improve_elapsed = time.time() - t0
|
||||
|
||||
if verbose:
|
||||
print(f"Proposed ({improve_elapsed:.1f}s): {new_description}", file=sys.stderr)
|
||||
|
||||
current_description = new_description
|
||||
|
||||
# Find the best iteration by TEST score (or train if no test set)
|
||||
if test_set:
|
||||
best = max(history, key=lambda h: h["test_passed"] or 0)
|
||||
best_score = f"{best['test_passed']}/{best['test_total']}"
|
||||
else:
|
||||
best = max(history, key=lambda h: h["train_passed"])
|
||||
best_score = f"{best['train_passed']}/{best['train_total']}"
|
||||
|
||||
if verbose:
|
||||
print(f"\nExit reason: {exit_reason}", file=sys.stderr)
|
||||
print(f"Best score: {best_score} (iteration {best['iteration']})", file=sys.stderr)
|
||||
|
||||
return {
|
||||
"exit_reason": exit_reason,
|
||||
"original_description": original_description,
|
||||
"best_description": best["description"],
|
||||
"best_score": best_score,
|
||||
"best_train_score": f"{best['train_passed']}/{best['train_total']}",
|
||||
"best_test_score": f"{best['test_passed']}/{best['test_total']}" if test_set else None,
|
||||
"final_description": current_description,
|
||||
"iterations_run": len(history),
|
||||
"holdout": holdout,
|
||||
"train_size": len(train_set),
|
||||
"test_size": len(test_set),
|
||||
"history": history,
|
||||
}
|
||||
|
||||
|
||||
def main():
|
||||
parser = argparse.ArgumentParser(description="Run eval + improve loop")
|
||||
parser.add_argument("--eval-set", required=True, help="Path to eval set JSON file")
|
||||
parser.add_argument("--skill-path", required=True, help="Path to skill directory")
|
||||
parser.add_argument("--description", default=None, help="Override starting description")
|
||||
parser.add_argument("--num-workers", type=int, default=10, help="Number of parallel workers")
|
||||
parser.add_argument("--timeout", type=int, default=30, help="Timeout per query in seconds")
|
||||
parser.add_argument("--max-iterations", type=int, default=5, help="Max improvement iterations")
|
||||
parser.add_argument("--runs-per-query", type=int, default=3, help="Number of runs per query")
|
||||
parser.add_argument("--trigger-threshold", type=float, default=0.5, help="Trigger rate threshold")
|
||||
parser.add_argument("--holdout", type=float, default=0.4, help="Fraction of eval set to hold out for testing (0 to disable)")
|
||||
parser.add_argument("--model", required=True, help="Model for improvement")
|
||||
parser.add_argument("--verbose", action="store_true", help="Print progress to stderr")
|
||||
parser.add_argument("--report", default="auto", help="Generate HTML report at this path (default: 'auto' for temp file, 'none' to disable)")
|
||||
parser.add_argument("--results-dir", default=None, help="Save all outputs (results.json, report.html, log.txt) to a timestamped subdirectory here")
|
||||
args = parser.parse_args()
|
||||
|
||||
eval_set = json.loads(Path(args.eval_set).read_text())
|
||||
skill_path = Path(args.skill_path)
|
||||
|
||||
if not (skill_path / "SKILL.md").exists():
|
||||
print(f"Error: No SKILL.md found at {skill_path}", file=sys.stderr)
|
||||
sys.exit(1)
|
||||
|
||||
name, _, _ = parse_skill_md(skill_path)
|
||||
|
||||
# Set up live report path
|
||||
if args.report != "none":
|
||||
if args.report == "auto":
|
||||
timestamp = time.strftime("%Y%m%d_%H%M%S")
|
||||
live_report_path = Path(tempfile.gettempdir()) / f"skill_description_report_{skill_path.name}_{timestamp}.html"
|
||||
else:
|
||||
live_report_path = Path(args.report)
|
||||
# Open the report immediately so the user can watch
|
||||
live_report_path.write_text("<html><body><h1>Starting optimization loop...</h1><meta http-equiv='refresh' content='5'></body></html>")
|
||||
webbrowser.open(str(live_report_path))
|
||||
else:
|
||||
live_report_path = None
|
||||
|
||||
# Determine output directory (create before run_loop so logs can be written)
|
||||
if args.results_dir:
|
||||
timestamp = time.strftime("%Y-%m-%d_%H%M%S")
|
||||
results_dir = Path(args.results_dir) / timestamp
|
||||
results_dir.mkdir(parents=True, exist_ok=True)
|
||||
else:
|
||||
results_dir = None
|
||||
|
||||
log_dir = results_dir / "logs" if results_dir else None
|
||||
|
||||
output = run_loop(
|
||||
eval_set=eval_set,
|
||||
skill_path=skill_path,
|
||||
description_override=args.description,
|
||||
num_workers=args.num_workers,
|
||||
timeout=args.timeout,
|
||||
max_iterations=args.max_iterations,
|
||||
runs_per_query=args.runs_per_query,
|
||||
trigger_threshold=args.trigger_threshold,
|
||||
holdout=args.holdout,
|
||||
model=args.model,
|
||||
verbose=args.verbose,
|
||||
live_report_path=live_report_path,
|
||||
log_dir=log_dir,
|
||||
)
|
||||
|
||||
# Save JSON output
|
||||
json_output = json.dumps(output, indent=2)
|
||||
print(json_output)
|
||||
if results_dir:
|
||||
(results_dir / "results.json").write_text(json_output)
|
||||
|
||||
# Write final HTML report (without auto-refresh)
|
||||
if live_report_path:
|
||||
live_report_path.write_text(generate_html(output, auto_refresh=False, skill_name=name))
|
||||
print(f"\nReport: {live_report_path}", file=sys.stderr)
|
||||
|
||||
if results_dir and live_report_path:
|
||||
(results_dir / "report.html").write_text(generate_html(output, auto_refresh=False, skill_name=name))
|
||||
|
||||
if results_dir:
|
||||
print(f"Results saved to: {results_dir}", file=sys.stderr)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
Reference in New Issue
Block a user