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>
23 lines
624 B
Python
23 lines
624 B
Python
"""LLM 智能体包
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公开 API:
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LLMClient — LLM API 客户端（含缓存 + 重试）
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Agent1Parser — COPYBOOK → FieldTree
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Agent2Data — FieldTree → TestSuite（测试数据设计）
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Agent3Diagnostic — FieldResult → 诊断建议文本
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"""
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from __future__ import annotations
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from .llm import LLMClient
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from .agent1_parser import Agent1Parser
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from .agent2_data import Agent2Data
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from .agent3_diagnostic import Agent3Diagnostic
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__all__ = [
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"LLMClient", # class
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"Agent1Parser", # class
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"Agent2Data", # class
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"Agent3Diagnostic", # class
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]
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