72 lines
2.9 KiB
Python
72 lines
2.9 KiB
Python
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"""提示词静态断言(同步自上游 ai-kefu tests/test_prompt_static.py)。
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锚点迁移(Task 6): 上游单副本 app/prompts → seed_profiles/<slug>/prompts
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按租户持有。auto 租户保留上游逐字锚点;jiancai(主线)措辞已演化——例外
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句/回显句式/禁令是其等价形态。两租户同测,任何一侧缺件都红;断言语义
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不变: 例外句在场(教学多点复述)、好例在场、extractor 门控声明在场。
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"""
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from pathlib import Path
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import pytest
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PROMPTS = Path(__file__).resolve().parent.parent / "seed_profiles"
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# 各租户锚点: exception=(例外句, 最少出现次数), good_example 与小写比较
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ANCHORS = {
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# 主线措辞: "**唯一例外**：系统提供的补全号码原文" + 确认/回显各节的
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# 机制复述("按系统提醒回显补全后的完整号码请客户确认");好例句式与
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# wall.json cc_templates.echo 同源("— is that right?")
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"jiancai": {
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"exception": ("唯一例外", 1),
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"exception_extra": ("回显补全后的完整号码", 4),
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"forbidden": "客户自己的号码也不回显",
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"good_example": "is that right",
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"gate": "仅当客户在回应号码确认时填写",
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},
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# 上游原句(L47/L67/L127/L170 四处),auto 出厂未随主线演化
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"auto": {
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"exception": ("唯一例外:系统提醒提供的补全号", 4),
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"exception_extra": None,
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"forbidden": "禁止回显任何其他号码",
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"good_example": "is this your full number",
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"gate": "仅当客户消息是对号码确认的回应",
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},
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}
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def _read(tenant, name):
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return (PROMPTS / tenant / "prompts" / name).read_text(encoding="utf-8")
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@pytest.mark.parametrize("tenant", ["jiancai", "auto"])
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def test_system_md_exception_clauses_present(tenant):
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src = _read(tenant, "system.md")
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a = ANCHORS[tenant]
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needle, floor = a["exception"]
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assert src.count(needle) >= floor, f"{tenant}: 例外句缺失/少于 {floor} 处"
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if a["exception_extra"]:
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needle2, floor2 = a["exception_extra"]
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assert src.count(needle2) >= floor2, \
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f"{tenant}: 例外机制复述少于 {floor2} 处"
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@pytest.mark.parametrize("tenant", ["jiancai", "auto"])
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def test_system_md_echo_examples_present(tenant):
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src = _read(tenant, "system.md").lower()
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assert ANCHORS[tenant]["good_example"] in src, \
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f"{tenant}: 回显好例句式缺失(应与提醒模板同源)"
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@pytest.mark.parametrize("tenant", ["jiancai", "auto"])
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def test_system_md_forbidden_clause_present(tenant):
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src = _read(tenant, "system.md")
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assert ANCHORS[tenant]["forbidden"] in src, \
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f"{tenant}: 禁止回显其他号码条款缺失"
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@pytest.mark.parametrize("tenant", ["jiancai", "auto"])
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def test_extractor_md_cc_reply_declared_with_gate(tenant):
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src = _read(tenant, "extractor.md")
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assert "cc_reply" in src and "affirm" in src
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assert ANCHORS[tenant]["gate"] in src, f"{tenant}: 双门控第一道门声明缺失"
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