"""Bug-audit endpoint for runtime regression checks."""
from fastapi import APIRouter, Depends
from sqlalchemy.orm import Session
from sqlalchemy import text
from app.database import get_db
from app.models import SiteSetting, AIModel
from app.capability_registry import CAPABILITY_TYPES, get_capability_defaults, resolve_auto_model
import logging

logger = logging.getLogger(__name__)

router = APIRouter()

@router.get("/bug-audit")
def bug_audit(db: Session = Depends(get_db)):
    """
    Runtime self-check: 验证平台大模型路由/能力配置的关键不变量。
    用于发现重复 bug（比如「已修复又出现」）。
    """
    issues = []
    warnings = []
    checks = []

    # Check 1: 文本类能力(text/thinking) 必须指向启用的非图像/视频模型
    TEXT_FAMILY = {"text", "thinking", "vision", "tool"}
    defaults = get_capability_defaults(db)
    for cap in ("text", "thinking"):
        mid = defaults.get(cap)
        if not mid:
            issues.append(f"{cap}: site_settings.model_capability_defaults 未设置")
            continue
        m = db.query(AIModel).filter(AIModel.id == mid, AIModel.is_enabled == True).first()
        if not m:
            issues.append(f"{cap}: 指向的模型 {mid} 不存在或已禁用")
            continue
        caps = [c.lower() for c in (m.capabilities or [])]
        if not ("text" in caps or "thinking" in caps):
            issues.append(f"{cap}: 指向的 {m.name} 没有 text/thinking 能力 (caps={caps})")
        if "image" in caps or "video" in caps:
            warnings.append(f"{cap}: 默认模型 {m.name} 含 image/video 能力 (普通多轮对话可能误判)")
        checks.append(f"{cap} -> {m.name} (caps={caps})")

    # Check 2: 必须有 is_default=true 的模型
    default_model = db.query(AIModel).filter(AIModel.is_default == True, AIModel.is_enabled == True).first()
    if not default_model:
        issues.append("没有任何 is_default=true 且启用的模型")
    else:
        checks.append(f"is_default -> {default_model.name}")

    # Check 3: 所有 enabled 的 chat 模型都应该能正常 resolve
    for cap in ("text", "image", "video", "audio", "embedding", "rerank", "asr", "ocr"):
        m = resolve_auto_model(cap, db)
        if m:
            checks.append(f"resolve_auto_model({cap}) -> {m.name}")
        else:
            warnings.append(f"resolve_auto_model({cap}) 返回 None (该能力无默认模型)")

    # Check 4: detect_media_intent 单元自检（用经典样本）
    from app.api.chat_media import detect_media_intent
    test_cases = [
        ("平台有哪些技能能", None),  # 普通文字
        ("你好", None),  # 普通问候
        ("画一只小猫", "image"),  # 明确图像
        ("生成一个视频介绍", "video"),  # 明确视频
        ("今天天气如何？", None),  # 疑问句
    ]
    for text_in, expected in test_cases:
        result = detect_media_intent(text_in)
        if result != expected:
            issues.append(f"detect_media_intent({text_in!r})={result!r} 期望 {expected!r}")
        else:
            checks.append(f"detect_media_intent({text_in!r})={result!r} ✓")

    # 汇总
    healthy = len(issues) == 0
    return {
        "healthy": healthy,
        "issues": issues,
        "warnings": warnings,
        "checks": checks,
        "summary": {
            "total_checks": len(checks),
            "issues": len(issues),
            "warnings": len(warnings),
        }
    }