hangshuo652/cobol-java-v3
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feat/agent-mode
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8 Commits
Author SHA1 Message Date
tmm621 a3918e2162 feat: add agent mode pipeline (orchestrator_jcl) 
- Add --mode agent to main.py for jcl-cobol-data-create integration
- New orchestrator_jcl.py: 5-phase pipeline
  Phase 1: Call jcl-cobol-data-create (DeepSeek LLM) to generate JSON test data
  Phase 2: Parse COBOL FD layouts via analyze_fd_layout
  Phase 3: Compile COBOL + subprograms + Java (once)
  Phase 4: Per-group loop: JSON->binary->run COBOL->run Java->compare->report
  Phase 5: Aggregate summary
- Fix orchestrator.py import error (check_coverage from cobol_testgen.coverage)
- Normalize jcl JSON field names (R01-APPL-ID -> R01APPL-ID) for FD layout matching
- Auto-compile subprograms by scanning CALL statements in COBOL source
- Update README.md with agent mode usage and architecture docs
- jcl-cobol-data-create api_client.py: bypass Windows system proxy
 2026-07-27 20:20:30 +08:00
hangshuo652 0203ead96b feat: config-driven multi-scenario + gcda accumulation fix + gcov merge fix 
Config-driven architecture:
- coverage_dates: YAML-driven date replacement for LEAVE_RECORDS
- row_overrides: per-scenario field overrides (e.g. STATUS='9')
- delete_all_rows: per-scenario table emptying for empty-cursor tests

gcda accumulation fix (V3 bug #7):
- Delete .gcda before each scenario run to prevent GnuCOBOL accumulation
- Force-copy scenario gcda (skip mtime check)
- Copy scenario DB to CWD data/kin.db for CONNECT TO path resolution

Multi-run gcov merge fix:
- Always merge multi-run gcov data regardless of generate_coverage flag
- Fix v3_root UnboundLocalError in cleanup path

Other fixes:
- _make_key_unique: skip WHERE-constrained columns to avoid PK conflict
- incremental_supplement: support fields_dict for base record generation
- check_coverage: use structure coverage data if available
- orchestrator.py: filter _-prefixed fields in TestCase; merge Agent2Data cases
 2026-07-18 08:42:55 +08:00
hangshuo652andClaude bc1d56d1a4 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 <[email protected]>
 2026-06-19 23:51:55 +08:00
hangshuo652 2e64f208ea fix: P1 - complete_tests now feeds DataWriter; P2 - loop syncs complete_tests; P5 - machine_json gets coverage fields 2026-06-18 16:47:21 +08:00
hangshuo652 de506d9c31 feat: Phase 2 - HINA Agent + Strategy Agent + classifier 2026-06-18 16:10:38 +08:00
hangshuo652 c021dfe01e feat: Phase 1 - orchestrator quality gate loop + hina/gate + main CLI args 2026-06-18 16:02:38 +08:00
hangshuo652 7fcdb41a85 init: cobol-java migration verification platform v3 (42 tests, JCL module) 2026-05-27 08:42:41 +08:00
hangshuo652 818e81269c v3: gstack-code-gen 生成 2026-05-24 12:36:44 +08:00