53e0065e3e
配置 SSOT（TOML + .env） 统一错误契约 Auth 与事务边界 Redis / Celery 可靠性:业务 Redis（DB/0）与 Celery broker/backend（DB/1）显式拆分；连接池、sync client 可观测性（OpenTelemetry + LGTM）
49 lines
1.7 KiB
Python
49 lines
1.7 KiB
Python
"""口述规则归一与 memoir 入口行为。"""
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from unittest.mock import patch
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from app.core.text_normalize import apply_oral_rules
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from app.features.memoir.oral_normalize import normalize_oral_for_memoir
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def test_apply_rules_mei_kanshang_wo() -> None:
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assert "没看上我" in apply_oral_rules("我去试镜了 美看上我 张伟")
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def test_apply_rules_mei_kanshang_ni() -> None:
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assert apply_oral_rules("美看上你") == "没看上你"
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def test_apply_rules_no_false_positive_rong() -> None:
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"""「美容」等不应被误替换。"""
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s = "我去了解美容项目"
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assert apply_oral_rules(s) == s
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def test_normalize_respects_global_off() -> None:
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raw = "美看上我"
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with patch("app.features.memoir.oral_normalize.memoir") as m:
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m.oral_normalize_enabled = False
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m.oral_normalize_mode = "rules"
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assert normalize_oral_for_memoir(raw, llm=None) == raw
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def test_normalize_rules_mode_no_llm() -> None:
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raw = "美看上我"
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with patch("app.features.memoir.oral_normalize.memoir") as m:
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m.oral_normalize_enabled = True
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m.oral_normalize_mode = "rules"
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m.oral_normalize_llm_max_tokens = 512
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m.oral_normalize_llm_max_input_chars = 8000
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assert normalize_oral_for_memoir(raw, llm=None) == "没看上我"
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def test_normalize_mode_off_string() -> None:
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raw = "美看上我"
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with patch("app.features.memoir.oral_normalize.memoir") as m:
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m.oral_normalize_enabled = True
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m.oral_normalize_mode = "off"
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m.oral_normalize_llm_max_tokens = 512
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m.oral_normalize_llm_max_input_chars = 8000
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assert normalize_oral_for_memoir(raw, llm=None) == raw
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