"""承接视频获取接口适配层(piaoquantv API)。

业务模型(用户 2026-06-08 确认):
  - "承接视频" = 用户点开创意/进入小程序后看到的视频内容
  - 接口已按 ROV 降序 + 访问量过滤,我们拿前 N 即可,**无需自己排序**
  - 这一步**不是**创意素材召回 — 创意素材在后续 material_recall 步用本视频字段
    (title / standardElement / categoryName / demandContentTitle 等)做 query 召回

接口:POST https://tp-open.piaoquantv.com/contentPlatform/plan/videoContentList
认证:token header(沿用用户给的值,可通过 env PIAOQUANTV_TOKEN 覆盖)

字段参考(2026-06-08 反推自 sample 调用):
  返回 data.objs[*] 39 个字段,关键:
    videoId        : 业务侧 8 位 video ID(注:非腾讯素材库 video_id,11 位)
    title / cover / video : 标题 + 封面 URL + 视频 URL
    score / rov / sim / visitUv : 推荐分(已排序)
    standardElement / categoryName / demandContentTitle / dimension : 语义维度
"""

import logging
import os
import json
from dataclasses import dataclass, field
from pathlib import Path
from typing import List, Optional

import httpx

try:
    from dotenv import load_dotenv

    load_dotenv(Path(__file__).resolve().parents[1] / ".env")
except Exception:
    pass

logger = logging.getLogger(__name__)

PIAOQUANTV_VIDEO_API = "https://tp-open.piaoquantv.com/contentPlatform/plan/videoContentList"
PIAOQUANTV_TOKEN = os.getenv(
    "PIAOQUANTV_TOKEN",
    "f6e07dba7fe3476cb31fd3733d607c5c",  # 用户 2026-06-08 提供
)
PIAOQUANTV_VIDEO_SOURCE = os.getenv("PIAOQUANTV_VIDEO_SOURCE", "")
_PIAOQUANTV_VIDEO_TYPE_RAW = os.getenv("PIAOQUANTV_VIDEO_TYPE", "").strip()
PIAOQUANTV_VIDEO_TYPE = int(_PIAOQUANTV_VIDEO_TYPE_RAW) if _PIAOQUANTV_VIDEO_TYPE_RAW else None
PIAOQUANTV_HOT_FALLBACK_ENABLED = os.getenv(
    "PIAOQUANTV_HOT_FALLBACK_ENABLED", "true"
).strip().lower() not in {"0", "false", "no", "off"}
PIAOQUANTV_HOT_FALLBACK_SOURCE = os.getenv("PIAOQUANTV_HOT_FALLBACK_SOURCE", "hot")
PIAOQUANTV_VIDEO_MAX_PAGES = int(os.getenv("PIAOQUANTV_VIDEO_MAX_PAGES", "3"))


def _load_video_crowd_package_map() -> dict[str, str]:
    """从环境变量 VIDEO_RECALL_CROWD_PACKAGE_MAP 加载人群包映射,非法或未配置时用默认映射。"""
    raw = os.getenv("VIDEO_RECALL_CROWD_PACKAGE_MAP", "").strip()
    if raw:
        try:
            data = json.loads(raw)
            if isinstance(data, dict):
                return {
                    str(k).strip(): str(v).strip()
                    for k, v in data.items()
                    if str(k).strip() and str(v).strip()
                }
        except json.JSONDecodeError:
            logger.warning("[video_recall] VIDEO_RECALL_CROWD_PACKAGE_MAP 不是合法 JSON,使用默认映射")
    return {
        "cell*year*商业": "wx*商业",
        "回流330以上人群": "R_330+",
    }


VIDEO_RECALL_CROWD_PACKAGE_MAP = _load_video_crowd_package_map()


def _load_video_source_map() -> dict[str, str]:
    raw = os.getenv("VIDEO_RECALL_SOURCE_MAP", "").strip()
    if raw:
        try:
            data = json.loads(raw)
            if isinstance(data, dict):
                return {
                    str(k).strip(): str(v).strip()
                    for k, v in data.items()
                    if str(k).strip()
                }
        except json.JSONDecodeError:
            logger.warning("[video_recall] VIDEO_RECALL_SOURCE_MAP 不是合法 JSON,使用默认映射")
    return {}


VIDEO_RECALL_SOURCE_MAP = _load_video_source_map()


def map_crowd_package_for_video_recall(crowd_package: str) -> str:
    """只映射内容服务 videoContentList 的 crowdPackage,不影响腾讯投放人群包。"""
    return VIDEO_RECALL_CROWD_PACKAGE_MAP.get(crowd_package, crowd_package)


def map_source_for_video_recall(
    crowd_package: str,
    video_crowd_package: str,
    source: str,
) -> str:
    """只映射内容服务 videoContentList 的 source,不影响 hot 兜底语义。"""
    if source == PIAOQUANTV_HOT_FALLBACK_SOURCE:
        return source
    if crowd_package in VIDEO_RECALL_SOURCE_MAP:
        return VIDEO_RECALL_SOURCE_MAP[crowd_package]
    if video_crowd_package in VIDEO_RECALL_SOURCE_MAP:
        return VIDEO_RECALL_SOURCE_MAP[video_crowd_package]
    return source


def _normalize_category(raw) -> str:
    """把 category 字段规范化成字符串(list 用逗号拼接,None 返回空串)。"""
    if raw is None:
        return ""
    if isinstance(raw, list):
        return ",".join(str(v).strip() for v in raw if str(v).strip())
    return str(raw).strip()


def _enrich_hot_video_elements(videos: List["LandingVideo"]) -> None:
    """Fill pointType / standardElement for hot videos from ODPS latest partition."""
    if not videos:
        return
    try:
        from tools.video_feature_query import fetch_video_element_features
    except Exception as e:
        logger.warning("[video_recall] hot 元素补全模块导入失败,跳过:%s", e)
        return

    features_by_vid = fetch_video_element_features(v.video_id for v in videos)
    enriched = 0
    for v in videos:
        features = features_by_vid.get(v.video_id) or []
        if not features:
            continue
        feature_payload = [
            {
                "element_dimension": f.element_dimension,
                "point_type": f.point_type,
                "standard_element": f.standard_element,
                "contribution_score": f.contribution_score,
                "dt": f.dt,
            }
            for f in features
        ]
        v.raw["element_features"] = feature_payload
        # Keep the top contribution element on first-class fields so existing
        # candidate checks continue to work.
        v.point_type = v.point_type or features[0].point_type
        v.standard_element = v.standard_element or features[0].standard_element
        enriched += 1
    logger.info(
        "[video_recall] hot 元素补全完成 videos=%d/%d element_rows=%d",
        enriched, len(videos), sum(len(v) for v in features_by_vid.values()),
    )


@dataclass
class LandingVideo:
    """承接视频(landing video)— 用户进小程序后看到的视频。

    注意:`video_id` 是 piaoquantv 业务侧 ID(8 位),**不**是腾讯素材库 video_id(11 位)。
    挂创意时腾讯 creative_components.video 需要的是腾讯 video_id,二者映射逻辑待补。
    """

    video_id: int
    title: str
    cover_url: str
    video_url: str
    # 推荐分数(接口已用 rov 降序)
    score: float
    rov: float
    sim: float
    visit_uv: int
    # 召回素材时用的语义维度(对应 material_recall 三策略)
    category: str                   # 内容品类,例:"早中晚好";用于内容侧过滤/多样性
    standard_element: str           # 例:"煽动性"
    category_name: str              # 例:"情感强度控制"
    demand_content_title: str       # 关联原视频标题
    demand_content_topic: str       # 关联原视频选题(对应 VIDEO_TOPIC 召回)
    demand_content_id: str          # 关联原视频 ID
    demand_type: str                # 需求类型
    point_type: str                 # 点类型("关键点"/"灵感点"/"目的点"),决定 standardElement 召回的 configCode
    dimension: str                  # 例:"传播的头部"
    experiment_id: str              # 实验 ID(透传给 xcx/save,接口会嵌入 pageUrl)
    # 原始 raw(以备未来用其他字段)
    raw: dict = field(default_factory=dict, repr=False)


def fetch_landing_videos(
    crowd_package: str,
    page_size: int = 10,
    page_num: int = 1,
    video_business_type: Optional[int] = PIAOQUANTV_VIDEO_TYPE,
    source: str = PIAOQUANTV_VIDEO_SOURCE,
    title_filter: str = "",
    sort: int = 0,
    timeout: int = 30,
) -> List[LandingVideo]:
    """从 piaoquantv 拉承接视频列表(按 ROV 降序,直接取 top N)。

    Args:
        crowd_package: 人群包名,例:"泛人群" / "回流330以上人群"
        page_size: 取前 K 条
        page_num: 分页(默认 1)
        video_business_type: 5=小程序投流(默认,SOP 不变)
        source: 投放人群需求类型(默认 "prior")
        title_filter: 标题过滤(空则不过滤)
    """
    body = {
        "title": title_filter,
        "sort": sort,
        "pageNum": page_num,
        "pageSize": page_size,
        "crowdPackage": crowd_package,
    }
    if video_business_type is not None:
        body["type"] = video_business_type
    if source is not None:
        body["source"] = source
    headers = {
        "content-type": "application/json",
        "token": PIAOQUANTV_TOKEN,
        "accept": "application/json",
    }

    logger.info(
        "[video_recall] fetch crowd=%r source=%r page=%d size=%d",
        crowd_package, source, page_num, page_size,
    )
    resp = httpx.post(PIAOQUANTV_VIDEO_API, json=body, headers=headers, timeout=timeout)
    resp.raise_for_status()
    data = resp.json()

    if data.get("code") != 0 or not data.get("success"):
        raise RuntimeError(
            f"piaoquantv 接口失败:code={data.get('code')} msg={data.get('msg')}"
        )

    payload = data.get("data") or {}
    objs = payload.get("objs") or []

    videos: List[LandingVideo] = []
    for obj in objs:
        if not isinstance(obj, dict) or "videoId" not in obj:
            logger.warning("[video_recall] 跳过缺 videoId 的项:%s", obj)
            continue
        videos.append(
            LandingVideo(
                video_id=int(obj["videoId"]),
                title=obj.get("title") or "",
                cover_url=obj.get("cover") or "",
                video_url=obj.get("video") or "",
                score=float(obj.get("score") or 0.0),
                rov=float(obj.get("rov") or 0.0),
                sim=float(obj.get("sim") or 0.0),
                visit_uv=int(obj.get("visitUv") or 0),
                category=_normalize_category(obj.get("category")),
                standard_element=obj.get("standardElement") or "",
                category_name=obj.get("categoryName") or "",
                demand_content_title=obj.get("demandContentTitle") or "",
                demand_content_topic=obj.get("demandContentTopic") or "",
                demand_content_id=obj.get("demandContentId") or "",
                demand_type=obj.get("demandType") or "",
                point_type=obj.get("pointType") or "",
                dimension=obj.get("dimension") or "",
                experiment_id=obj.get("experimentId") or "",
                raw=obj,
            )
        )

    logger.info(
        "[video_recall] 返回 %d 条承接视频(总池 %d / 当前页 %d)",
        len(videos), payload.get("totalSize") or 0, payload.get("currentPage") or 1,
    )
    if source == PIAOQUANTV_HOT_FALLBACK_SOURCE:
        _enrich_hot_video_elements(videos)
    return videos


def _fetch_landing_video_pages(
    *,
    crowd_package: str,
    page_size: int,
    source: str,
    max_pages: int,
) -> List[LandingVideo]:
    max_pages = max(1, int(max_pages or 1))
    merged: List[LandingVideo] = []
    seen: set[int] = set()
    for page_num in range(1, max_pages + 1):
        page = fetch_landing_videos(
            crowd_package=crowd_package,
            page_size=page_size,
            page_num=page_num,
            source=source,
        )
        if not page:
            break
        for video in page:
            if video.video_id in seen:
                continue
            merged.append(video)
            seen.add(video.video_id)
        if len(page) < page_size:
            break
    logger.info(
        "[video_recall] 分页合并 crowd=%r source=%r pages<=%d merged=%d",
        crowd_package, source, max_pages, len(merged),
    )
    return merged


def get_account_crowd_package(account_id: int) -> str:
    """从 account_whitelist 读账户级 crowd_package。

    crowd_package 决定:
      - videoContentList 拉哪批承接视频(本模块)
      - xcx/save 注册落地计划的 audiencePackage(landing_plan 模块)
    """
    from db.connection import get_connection

    conn = get_connection()
    try:
        with conn.cursor() as cur:
            cur.execute(
                "SELECT crowd_package FROM account_whitelist WHERE account_id=%s",
                (account_id,),
            )
            row = cur.fetchone()
    finally:
        conn.close()

    if not row or not row.get("crowd_package"):
        raise ValueError(
            f"account_id {account_id} 的 crowd_package 未在 account_whitelist 配置"
        )
    return row["crowd_package"]


def fetch_landing_videos_for_account(
    account_id: int,
    page_size: int = 10,
    source: Optional[str] = None,
    enable_hot_fallback: bool = True,
    max_pages: int = PIAOQUANTV_VIDEO_MAX_PAGES,
) -> List[LandingVideo]:
    """根据账户的 crowd_package 字段拉视频。

    主池不足时用同一个 crowdPackage + source=hot 补充热门视频。
    """
    crowd_package = get_account_crowd_package(account_id)
    video_crowd_package = map_crowd_package_for_video_recall(crowd_package)
    requested_source = PIAOQUANTV_VIDEO_SOURCE if source is None else source
    selected_source = map_source_for_video_recall(
        crowd_package,
        video_crowd_package,
        requested_source,
    )
    primary = _fetch_landing_video_pages(
        crowd_package=video_crowd_package,
        page_size=page_size,
        source=selected_source,
        max_pages=max_pages,
    )
    if (
        source is not None
        or not enable_hot_fallback
        or not PIAOQUANTV_HOT_FALLBACK_ENABLED
        or len(primary) >= page_size
        or selected_source == PIAOQUANTV_HOT_FALLBACK_SOURCE
    ):
        return primary

    missing = page_size - len(primary)
    logger.info(
        "[video_recall] primary 不足,用 hot 兜底: account=%d crowd=%r video_crowd=%r primary=%d need=%d",
        account_id, crowd_package, video_crowd_package, len(primary), missing,
    )
    fallback = _fetch_landing_video_pages(
        crowd_package=video_crowd_package,
        page_size=missing,
        source=PIAOQUANTV_HOT_FALLBACK_SOURCE,
        max_pages=max_pages,
    )
    seen = {v.video_id for v in primary}
    merged = list(primary)
    for v in fallback:
        if v.video_id in seen:
            continue
        merged.append(v)
        seen.add(v.video_id)
    logger.info(
        "[video_recall] primary + hot 合并后 %d 条(account=%d crowd=%r video_crowd=%r)",
        len(merged), account_id, crowd_package, video_crowd_package,
    )
    return merged