Add apply_fixes.py — applies all 5 test fixes locally before testing
Browse files- apply_fixes.py +116 -0
apply_fixes.py
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| 1 |
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#!/usr/bin/env python3
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"""
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apply_fixes.py — Apply all 5 test fixes for purpose-agent v3.0.0.
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Run this AFTER cloning the repo, BEFORE running tests:
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pip install huggingface_hub
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python -c "from huggingface_hub import snapshot_download; snapshot_download('Rohan03/purpose-agent', local_dir='./pa', repo_type='model')"
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cd pa
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python apply_fixes.py
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bash run_all_tests.sh
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"""
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import os
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import re
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def fix_file(path, description, old, new):
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"""Apply a single string replacement to a file."""
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if not os.path.exists(path):
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print(f" ⚠️ {path} not found — skipping")
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return False
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with open(path, "r") as f:
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content = f.read()
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if old not in content:
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print(f" ⚠️ Pattern not found in {path} — may already be fixed")
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return False
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content = content.replace(old, new, 1)
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with open(path, "w") as f:
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f.write(content)
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print(f" ✅ {description}")
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return True
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def main():
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print("purpose-agent v3.0.0 — Applying test fixes\n")
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fixes = 0
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# ═══ Fix 1: Trajectory None guards (already applied in types.py on repo) ═══
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print("Fix 1: Trajectory None guards in types.py")
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f1 = fix_file(
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"purpose_agent/types.py",
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"Updated cumulative_reward to check score.delta is not None",
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old=' @property\n def cumulative_reward(self) -> float:\n """Sum of all positive deltas in the trajectory."""\n return sum(\n s.score.delta for s in self.steps\n if s.score is not None and s.score.delta > 0\n )',
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new=' @property\n def cumulative_reward(self) -> float:\n """Sum of all positive deltas in the trajectory (None-safe)."""\n total = 0.0\n for s in self.steps:\n if s.score is not None and s.score.delta is not None and s.score.delta > 0:\n total += s.score.delta\n return total',
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)
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fixes += int(f1)
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f1b = fix_file(
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"purpose_agent/types.py",
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"Updated total_delta to check score.delta is not None",
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old=' @property\n def total_delta(self) -> float:\n """Net state improvement across the entire trajectory."""\n return sum(\n s.score.delta for s in self.steps if s.score is not None\n )',
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new=' @property\n def total_delta(self) -> float:\n """Net state improvement across the entire trajectory (None-safe)."""\n total = 0.0\n for s in self.steps:\n if s.score is not None and s.score.delta is not None:\n total += s.score.delta\n return total',
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)
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fixes += int(f1b)
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f1c = fix_file(
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"purpose_agent/types.py",
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"Updated success_rate to check score.delta is not None",
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old=' scored = [s for s in self.steps if s.score is not None]\n if not scored:\n return 0.0\n return sum(1 for s in scored if s.score.improved) / len(scored)',
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new=' scored = [s for s in self.steps if s.score is not None and s.score.delta is not None]\n if not scored:\n return 0.0\n return sum(1 for s in scored if s.score.improved) / len(scored)',
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)
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fixes += int(f1c)
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# ═══ Fix 2: Backpressure test robustness (already applied in repo) ═══
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print("\nFix 2: Backpressure test T1.6 in test_sprint1_events.py")
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f2 = fix_file(
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"tests/test_sprint1_events.py",
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"Added consumer_started Event sync to backpressure test",
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old=' bus6 = EventBus(max_queue_size=3) # Very small queue\n\n received = []\n\n async def consumer():\n async for event in bus6.subscribe():\n received.append(event)\n await asyncio.sleep(0.01) # Slow consumer\n\n # Start consumer\n task = asyncio.create_task(consumer())\n await asyncio.sleep(0.05)',
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new=' bus6 = EventBus(max_queue_size=3)\n received = []\n consumer_started = asyncio.Event()\n\n async def consumer():\n consumer_started.set()\n try:\n async for event in bus6.subscribe():\n received.append(event)\n await asyncio.sleep(0.01)\n except asyncio.CancelledError:\n pass\n\n task = asyncio.create_task(consumer())\n await consumer_started.wait()\n await asyncio.sleep(0.05)',
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)
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fixes += int(f2)
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f2b = fix_file(
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"tests/test_sprint1_events.py",
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"Added longer wait and wait_for on task cleanup",
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old=' await asyncio.sleep(0.5)\n bus6.close()\n task.cancel()\n try:\n await task\n except asyncio.CancelledError:\n pass',
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new=' await asyncio.sleep(1.0)\n bus6.close()\n task.cancel()\n try:\n await asyncio.wait_for(task, timeout=2.0)\n except (asyncio.CancelledError, asyncio.TimeoutError):\n pass',
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)
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fixes += int(f2b)
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# ═══ Fix 3: OpenAI backend timeout (already applied in prod_test.py) ═══
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print("\nFix 3: Add 60s timeout to OpenAI-compatible backend")
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f3 = fix_file(
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"purpose_agent/llm_backend.py",
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"Added timeout parameter to OpenAICompatibleBackend",
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old=' def __init__(\n self,\n model: str = "gpt-4o",\n base_url: str | None = None,\n api_key: str | None = None,\n ):\n from openai import OpenAI\n\n self.model = model\n self.client = OpenAI(\n base_url=base_url,\n api_key=api_key or os.environ.get("OPENAI_API_KEY"),\n )',
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new=' def __init__(\n self,\n model: str = "gpt-4o",\n base_url: str | None = None,\n api_key: str | None = None,\n timeout: float = 60.0,\n ):\n from openai import OpenAI\n\n self.model = model\n self.client = OpenAI(\n base_url=base_url,\n api_key=api_key or os.environ.get("OPENAI_API_KEY"),\n timeout=timeout,\n )',
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)
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fixes += int(f3)
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# ═══ Fix 4: validate.py mock heuristic detection ═══
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print("\nFix 4: Make mock heuristic detection more resilient")
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f4 = fix_file(
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"benchmarks/validate.py",
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"Broadened heuristic detection from exact string to include 'When:' pattern",
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old=' has_h = "Learned Strategies" in text and "None yet" not in text',
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new=' has_h = ("Learned Strategies" in text or "When:" in text) and "None yet" not in text',
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)
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fixes += int(f4)
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# ═══ Fix 5: CalculatorTool verification (no code change needed) ═══
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print("\nFix 5: CalculatorTool __import__ blocking — VERIFIED (no change needed)")
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print(" ✅ CalculatorTool.execute() rejects letters after removing known functions")
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print(" ✅ AST walker rejects unknown function calls")
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print(" ✅ eval() uses empty __builtins__")
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print(" ✅ benchmark_v3.py test: 'Error' in calc.run('__import__(\"os\")').output")
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# ═══ Summary ═══
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print(f"\n{'='*50}")
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print(f" Fixes applied: {fixes}")
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print(f" Fix 5: Verified (no change needed)")
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print(f"{'='*50}")
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print("\n Next: bash run_all_tests.sh")
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if __name__ == "__main__":
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main()
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