"""
一次性脚本：清除测试数据，导入 25 期真实收视数据 + 回填 AI 标签
数据来源：
  - 收视数据：ai-labeling/example/2026收视update.xlsx（已导出为 _tmp_excel.json）
  - AI 标签：ai-labeling/benchmark-set/ground-truth.json（v0.6.0，制片人审定）
"""

import json
import sys
import os
from datetime import date

# 加 backend 到 path
sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', 'backend'))

from app.db.session import get_session
from app.models.episode import Episode
from app.models.user import User  # 注册 User 表元数据，FK 解析需要
from sqlmodel import select, delete

# ── 1. 读数据源 ──
project_root = os.path.join(os.path.dirname(__file__), '..')

with open(os.path.join(project_root, '_tmp_excel.json'), 'r', encoding='utf-8') as f:
    excel_rows = json.load(f)

with open(os.path.join(project_root, 'ai-labeling', 'benchmark-set', 'ground-truth.json'), 'r', encoding='utf-8') as f:
    gt_data = json.load(f)

# ground-truth 按 ep 编号索引
gt_map = {ep['ep']: ep for ep in gt_data['episodes']}

print(f"Excel: {len(excel_rows)} rows")
print(f"Ground-truth: {len(gt_map)} episodes (v{gt_data['version']})")

# ── 2. 构造 Episode 对象 ──
new_episodes = []
for row in excel_rows:
    # 解析期号："第1期" -> 1
    ep_num_str = row['ep'].replace('第', '').replace('期', '')
    ep_num = int(ep_num_str)

    # 解析日期："2026 01 06" -> date(2026, 1, 6)
    parts = row['date'].split()
    air = date(int(parts[0]), int(parts[1]), int(parts[2]))

    # 编导名（去空格）
    editor_name = row['editor'].replace(' ', '').replace('　', '')

    # 从 ground-truth 取 AI 标签
    gt = gt_map.get(ep_num, {})

    ep = Episode(
        episode_number=ep_num,
        program_name=row['title'],
        air_date=air,
        editor_id=None,          # 软引用，暂不关联 user id
        editor_name_snapshot=editor_name,
        audience_share=row['share'],
        audience_rating=row['rating'],
        # AI 标签
        program_format=gt.get('program_format'),
        equipment_domain=gt.get('equipment_domain'),
        scene_tags=gt.get('scene_tags'),
        tech_tags=gt.get('tech_tags'),
        narrative_structure=gt.get('narrative_structure'),
        opening_hook=gt.get('opening_hook'),
        ai_label_confidence='reviewed' if gt else None,
    )
    new_episodes.append(ep)

# ── 3. 执行：清旧 + 插新 ──
session = next(get_session())

# 删除所有旧数据
old_count = len(session.exec(select(Episode)).all())
session.exec(delete(Episode))
print(f"Deleted {old_count} old test episodes")

# 插入新数据
for ep in new_episodes:
    session.add(ep)

session.commit()
print(f"Inserted {len(new_episodes)} real episodes")

# ── 4. 验证 ──
all_eps = session.exec(select(Episode).order_by(Episode.air_date)).all()
print(f"\nVerification: {len(all_eps)} episodes in DB")
labeled = sum(1 for e in all_eps if e.program_format is not None)
print(f"With program_format: {labeled}/{len(all_eps)}")
print()
for e in all_eps:
    print(f"  ep{e.episode_number:02d} | {str(e.air_date)} | {e.audience_share} | {e.editor_name_snapshot} | {e.program_format or '-'}")