"""Task 4(spec §4.1, 2026-10-08): system.md 双要+国家代码话术静态断言。

- test_system_md_dual_contact_wording: 七处话术落盘(§4.1-1~7 关键锚点)
- test_system_md_contains_verbatim_note_bodies: 同源断言(Task 3 质量审查
  Issue 5)——conversation.py 四个逐字注入常量的正文必须逐字出现在
  system.md: 两处"逐字指令"若各自漂移,GLM 会混合输出两种措辞。
"""


def _read_system_md() -> str:
    with open("app/prompts/system.md", encoding="utf-8") as f:
        return f.read()


def _note_body(note: str) -> str:
    """从注入常量提取 AI 逐字复述的正文(剥"⚠️ 轻补指引"系统指令外壳)。

    常量形态: 外壳说明 + 请逐字使用这句："正文" + 尾注。外壳含"留邮箱"等
    渠道词,会误触再索要墙的中文模式——正文才是 AI 真正说出口的部分,
    同源断言与过墙断言都以正文为准。"""
    marker = "请逐字使用这句：\""
    assert marker in note, note[:40]
    body = note.split(marker, 1)[1].split("\"", 1)[0]
    assert body, note[:40]
    return body


def test_system_md_dual_contact_wording():
    src = _read_system_md()
    assert "with the country code" in src                     # §4.1-1
    assert "formal quotation PDF" in src and "轻补" in src    # §4.1-2/3
    assert "send the full number with the country code" in src  # §4.1-4
    assert src.count("国家代码") >= 2                          # 好差示例
    assert "已在手的渠道" in src and "缺失渠道" in src         # §4.1-6
    assert "国家代码追问句" in src and "邮箱轻补句" in src     # §4.1-7 模板句枚举


def test_system_md_contains_verbatim_note_bodies():
    """Step 5b 同源断言: 四常量正文逐字在 system.md(防两处逐字指令漂移)。"""
    from app.services.conversation import (
        _CC_NOTE_EN, _CC_NOTE_ZH, _EMAIL_NOTE_EN, _EMAIL_NOTE_ZH)
    src = _read_system_md()
    for note in (_CC_NOTE_EN, _CC_NOTE_ZH, _EMAIL_NOTE_EN, _EMAIL_NOTE_ZH):
        body = _note_body(note)
        assert body in src, body[:40]