hangshuo652
bc1d56d1a4
P0.6: gcov infrastructure P1: extract_structure output expansion (11 new feature fields) P2: Confusion group rule engine (8 pairs + contradiction + backtrack) P3: 4-factor confidence calculation + quality gate update P4: 33+2 COBOL program type test samples (22 files, 7 categories) P5: parametrized/ test data generation engine P6: japanese_data.py lookup tables P7-10: Type-specific test suites (~159 parametrized tests) P11: Full classification pipeline (classify_program) + orchestrator integration P12: Documentation (module-interfaces, test-plan v3.0, coverage-matrix) Architecture decisions: - classification_pipeline/ merged to hina/pipeline/ - parametrized/ as independent module - japanese_data.py as root-level file - hina/__all__ only exports classify_program() Co-Authored-By: Claude <noreply@anthropic.com>
53 lines
1.8 KiB
Python
53 lines
1.8 KiB
Python
import json, os, sys, traceback
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sys.path.insert(0, ".")
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os.environ["LLM_API_KEY"] = "sk-ca4961087c7f4aefa8ed0fc6f3d02329"
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os.environ["LLM_API_BASE"] = "https://api.deepseek.com/v1"
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from config import Config
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from orchestrator import run_pipeline
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cfg = Config()
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cfg.llm_model = "deepseek-chat"
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cfg.runner_mode = "native"
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print("STEP 1: Reading copybook...")
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cp = "uploads/ec17bf32/copybook.cpy"
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with open(cp) as f:
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text = f.read()
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print(f" Copybook text ({len(text)} chars):\n{text}")
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print("\nSTEP 2: Agent1Parser (LLM)...")
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from agents.agent1_parser import Agent1Parser
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from agents.llm import LLMClient
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try:
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llm = LLMClient(model="deepseek-chat", timeout=30)
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tree = Agent1Parser(llm).parse(text)
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fields = tree.flatten()
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print(f" Fields parsed: {list(fields.keys())}")
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for name, f in fields.items():
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print(f" {name}: level={f.level}, pic={f.pic}, usage={f.usage}, offset={f.offset}, len={f.length}")
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except Exception as e:
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print(f" ERROR: {e}")
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traceback.print_exc()
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print("\nSTEP 3: Full orchestrator...")
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try:
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vr = run_pipeline(cfg, cp, "uploads/ec17bf32/program.cbl",
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"uploads/ec17bf32/java", "uploads/ec17bf32/mapping.yaml")
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print(f" Status: {vr.status} (exit_code={vr.exit_code})")
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print(f" Program: {vr.program}")
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print(f" Matched: {vr.fields_matched}")
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print(f" Mismatched: {vr.fields_mismatched}")
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print(f" Duration: {vr.duration_s:.1f}s")
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print(f" Debug keys: {list(vr.debug.keys())}")
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print(f" Debug details:")
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for k, v in vr.debug.items():
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if v:
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if isinstance(v, dict):
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print(f" {k}: {'OK' if v.get('ok') else 'FAIL'} {str(v.get('log',''))[-200:]}")
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else:
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print(f" {k}: {v}")
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except Exception as e:
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print(f" ERROR: {e}")
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traceback.print_exc()
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