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- Fix E402: Move module-level imports to top of file - Fix F401: Add noqa for availability check imports - Fix F402: Rename loop variables shadowing imports - Fix E722: Replace bare except with except Exception - Fix B904: Add exception chaining (from e) - Fix F811: Remove duplicate imports - Fix B027: Add noqa for empty close() method - Fix E741: Rename ambiguous variable l -> label - Fix I001: Import sorting issues - Apply ruff format to all 106 files All 902 tests pass.
104 lines
3.5 KiB
Python
104 lines
3.5 KiB
Python
"""Verify that SmartCrusher preserves ERROR entries.
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This is critical - errors should NEVER be dropped during compression.
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"""
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import json
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from headroom.config import SmartCrusherConfig
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from headroom.providers import OpenAIProvider
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from headroom.transforms import SmartCrusher
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from .mock_tools import generate_log_entries
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def main():
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print("\n" + "=" * 70)
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print("VERIFYING ERROR PRESERVATION IN SMARTCRUSHER")
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print("=" * 70)
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# Generate logs with some ERROR entries
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raw_output = generate_log_entries("test-service", count=200)
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data = json.loads(raw_output)
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# Count errors in original
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original_errors = [e for e in data["entries"] if e["level"] == "ERROR"]
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print(f"\nOriginal log entries: {len(data['entries'])}")
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print(f"ERROR entries in original: {len(original_errors)}")
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print("\nERROR messages found:")
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for err in original_errors[:5]: # Show first 5
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print(f" - {err['message'][:60]}...")
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# Apply SmartCrusher
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smart_config = SmartCrusherConfig(
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enabled=True,
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min_tokens_to_crush=200,
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max_items_after_crush=20,
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)
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provider = OpenAIProvider()
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tokenizer = provider.get_token_counter("gpt-4o")
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crusher = SmartCrusher(config=smart_config)
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messages = [
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{"role": "system", "content": "You are a helpful assistant."},
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{"role": "user", "content": "Find ERROR entries in the logs"},
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{
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"role": "assistant",
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"content": None,
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"tool_calls": [
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{"id": "call_1", "function": {"name": "search_logs", "arguments": "{}"}}
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],
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},
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{"role": "tool", "content": raw_output, "tool_call_id": "call_1"},
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]
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result = crusher.apply(messages, tokenizer=tokenizer)
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compressed_output = result.messages[-1]["content"]
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# Handle case where SmartCrusher may add markers
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# Try to find the JSON part
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try:
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compressed_data = json.loads(compressed_output)
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except json.JSONDecodeError:
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# Try to extract just the JSON object
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import re
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json_match = re.search(r"(\{.*\})", compressed_output, re.DOTALL)
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if json_match:
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compressed_data = json.loads(json_match.group(1))
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else:
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print("Could not parse compressed output:")
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print(compressed_output[:500])
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return
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# Count errors in compressed
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compressed_errors = [e for e in compressed_data["entries"] if e["level"] == "ERROR"]
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print(f"\nCompressed log entries: {len(compressed_data['entries'])}")
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print(f"ERROR entries preserved: {len(compressed_errors)}")
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print("\nERROR messages in compressed:")
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for err in compressed_errors[:5]:
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print(f" - {err['message'][:60]}...")
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# Verification
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print("\n" + "=" * 70)
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if len(compressed_errors) >= len(original_errors):
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print("SUCCESS: All ERROR entries were preserved!")
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elif len(compressed_errors) > 0:
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print(f"PARTIAL: {len(compressed_errors)}/{len(original_errors)} ERROR entries preserved")
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else:
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print("FAILURE: ERROR entries were dropped!")
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print("=" * 70)
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# Show compression ratio
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original_count = len(data["entries"])
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compressed_count = len(compressed_data["entries"])
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reduction = (original_count - compressed_count) / original_count * 100
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print(
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f"\nCompression: {original_count} → {compressed_count} entries ({reduction:.1f}% reduction)"
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)
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print(f"But kept: {len(compressed_errors)} of {len(original_errors)} ERROR entries")
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if __name__ == "__main__":
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main()
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