Eric Wang
8323d53a70
Architecture (mirrors workflow/20261016 chatNode structure): - events.py: client markers parsed to typed ClientEvent (sources verified against workflow JSON); plain text like '拍好了' is not an event - transitions.py: LEGAL_TRANSITIONS whitelist drafted from chatNode prompts and Condition edges (16 entries, each with source_ref); is_legal_transition rejects unlisted/terminal-violating moves - graph.py: multi-node graph (collect/single_photo/dual_photo/... matching workflow chatNodes), route_by_stage conditional edges, _fake_llm_propose simulates LLM stage-code proposals (assignment 4 replaces with real LLM); code only keeps context bookkeeping (no_reply_count) and validation - state.py: expanded domain fields (pending_question, accident/ person fields, clarify/no-reply counts, turn_patch, state_version) Key finding: 单车拍照#6/双车拍照#7 are browser_addon branches ending at 0000, so 2005/2015 allow both 300x (direct) and 0000. Verified: pytest 87 passed (24 transition/event tests newly green). Known limit: stage proposals come from a fake LLM; per-stage scripts and real LLM integration are assignments 4-5.
42 lines
1.4 KiB
Python
42 lines
1.4 KiB
Python
"""作业 3 事件解析测试。
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来源：workflow/20261016/事故信息采集2025118.json 中的客户端标记。
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关键规则：普通自然语言（如“拍好了”“继续”）不是事件。
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"""
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import pytest
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from src.agent.events import ClientEvent, parse_client_event
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@pytest.mark.parametrize(
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("text", "expected"),
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[
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("【开始】", ClientEvent.SESSION_START),
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("【继续办理】", ClientEvent.CONTINUE),
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("【拍摄完成】", ClientEvent.PHOTO_DONE),
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("【用户无回复】", ClientEvent.NO_REPLY),
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("【客户端连续3次拍摄识别失败：图片过于模糊】", ClientEvent.PHOTO_FAILED_3X),
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("【客户端连续3次拍摄识别失败：摄像头启动失败】", ClientEvent.PHOTO_FAILED_3X),
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("【客户端连续3次拍摄识别失败：未识别到完整车牌】", ClientEvent.PHOTO_FAILED_3X),
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(" 【拍摄完成】 ", ClientEvent.PHOTO_DONE), # 容忍首尾空白
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],
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)
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def test_markers_parse_to_events(text, expected):
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assert parse_client_event(text) is expected
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@pytest.mark.parametrize(
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"text",
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[
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"拍好了", # 普通“拍好了”不等于拍摄完成事件
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"我已经拍完了",
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"继续",
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"你好",
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"",
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" ",
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],
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)
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def test_plain_text_is_not_an_event(text):
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assert parse_client_event(text) is None
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