feat: Phase 2 complete — 13 Phases of COBOL type classification and test benchmark

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>

test_pipeline.py

@@ -0,0 +1,52 @@
+import json, os, sys, traceback
+sys.path.insert(0, ".")
+os.environ["LLM_API_KEY"] = "sk-ca4961087c7f4aefa8ed0fc6f3d02329"
+os.environ["LLM_API_BASE"] = "https://api.deepseek.com/v1"
+
+from config import Config
+from orchestrator import run_pipeline
+
+cfg = Config()
+cfg.llm_model = "deepseek-chat"
+cfg.runner_mode = "native"
+
+print("STEP 1: Reading copybook...")
+cp = "uploads/ec17bf32/copybook.cpy"
+with open(cp) as f:
+    text = f.read()
+print(f"  Copybook text ({len(text)} chars):\n{text}")
+
+print("\nSTEP 2: Agent1Parser (LLM)...")
+from agents.agent1_parser import Agent1Parser
+from agents.llm import LLMClient
+try:
+    llm = LLMClient(model="deepseek-chat", timeout=30)
+    tree = Agent1Parser(llm).parse(text)
+    fields = tree.flatten()
+    print(f"  Fields parsed: {list(fields.keys())}")
+    for name, f in fields.items():
+        print(f"    {name}: level={f.level}, pic={f.pic}, usage={f.usage}, offset={f.offset}, len={f.length}")
+except Exception as e:
+    print(f"  ERROR: {e}")
+    traceback.print_exc()
+
+print("\nSTEP 3: Full orchestrator...")
+try:
+    vr = run_pipeline(cfg, cp, "uploads/ec17bf32/program.cbl",
+                      "uploads/ec17bf32/java", "uploads/ec17bf32/mapping.yaml")
+    print(f"  Status: {vr.status} (exit_code={vr.exit_code})")
+    print(f"  Program: {vr.program}")
+    print(f"  Matched: {vr.fields_matched}")
+    print(f"  Mismatched: {vr.fields_mismatched}")
+    print(f"  Duration: {vr.duration_s:.1f}s")
+    print(f"  Debug keys: {list(vr.debug.keys())}")
+    print(f"  Debug details:")
+    for k, v in vr.debug.items():
+        if v:
+            if isinstance(v, dict):
+                print(f"    {k}: {'OK' if v.get('ok') else 'FAIL'} {str(v.get('log',''))[-200:]}")
+            else:
+                print(f"    {k}: {v}")
+except Exception as e:
+    print(f"  ERROR: {e}")
+    traceback.print_exc()