#!/usr/bin/env python3
"""同步微伴线索到销售表，去重后追加"""
import json, requests, os, sys
from collections import defaultdict

CRED_DIR = "/root/.openclaw/credentials/xiaoxi"
SPREADSHEET_TOKEN = "NoZqsFi47hIOHEt9j8WcfRtbnug"
WEIBAN_FILE = "/tmp/weiban_20260603.xlsx"

# Sheet IDs
SHEET_IDS = {"小龙": "qJF4I", "吴迪": "f975f0"}

# 微伴客服 → 销售映射
CS_MAP = {"益达老师": "小龙", "吴迪": "吴迪"}

def get_token():
    with open(os.path.join(CRED_DIR, "config.json")) as f:
        cfg = json.load(f)
    resp = requests.post(
        "https://open.feishu.cn/open-apis/auth/v3/tenant_access_token/internal",
        json={"app_id": cfg["apps"][0]["appId"], "app_secret": cfg["apps"][0]["appSecret"]},
        timeout=15)
    return resp.json()["tenant_access_token"]

def read_sheet(token, sheet_id, range_str):
    resp = requests.get(
        f"https://open.feishu.cn/open-apis/sheets/v2/spreadsheets/{SPREADSHEET_TOKEN}/values/{sheet_id}!{range_str}",
        headers={"Authorization": f"Bearer {token}"}, timeout=30)
    data = resp.json()
    if data.get("code") != 0:
        print(f"  Read error: {data}")
        return []
    return data["data"]["valueRange"]["values"]

def append_rows(token, sheet_id, rows):
    """Append rows to sheet using append API"""
    url = f"https://open.feishu.cn/open-apis/sheets/v2/spreadsheets/{SPREADSHEET_TOKEN}/values_append"
    body = {"valueRange": {"range": f"{sheet_id}!A:K", "values": rows}}
    resp = requests.post(url, headers={
        "Authorization": f"Bearer {token}",
        "Content-Type": "application/json"
    }, json=body, timeout=30)
    r = resp.json()
    if r.get("code") != 0:
        print(f"  Append error: {r}")
        return False
    return True

def main():
    token = get_token()

    # Step 1: Parse 微伴 data
    print("=== Step 1: 解析微伴数据 ===")
    import openpyxl
    wb = openpyxl.load_workbook(WEIBAN_FILE, read_only=True)
    ws = wb['Sheet1']
    
    weiban_entries = []
    for row in ws.iter_rows(min_row=6, values_only=True):
        if row[0] is None:
            continue
        add_time = str(row[13]) if row[13] else ''
        if not add_time.startswith('2026-06'):
            continue
        
        kefu = row[6]  # 所属客服
        sales = CS_MAP.get(kefu)
        if not sales:
            continue
        
        # Parse date: "2026-06-01 12:34:56" → "6月1日"
        from datetime import datetime
        try:
            dt = datetime.strptime(add_time, "%Y-%m-%d %H:%M:%S")
            date_str = f"{dt.month}月{dt.day}日"
        except:
            date_str = add_time[:10]
        
        name = str(row[0]).strip() if row[0] else ''
        weiban_entries.append({
            "name": name,
            "date": date_str,
            "sales": sales,
            "kefu": kefu,
        })
    
    print(f"  微伴6月线索: {len(weiban_entries)} 条")
    
    # Count by sales
    by_sales = defaultdict(list)
    for e in weiban_entries:
        by_sales[e["sales"]].append(e)
    for s, entries in by_sales.items():
        print(f"  {s}: {len(entries)} 条")
    
    # Step 2: Read existing sales sheet data
    print("\n=== Step 2: 读取销售表现有数据 ===")
    existing_names = {"小龙": set(), "吴迪": set()}
    
    for sales_name, sheet_id in SHEET_IDS.items():
        data = read_sheet(token, sheet_id, f"A1:K2000")
        for row in data[1:]:  # skip header
            if row and len(row) >= 2 and row[1]:
                name = str(row[1]).strip()
                if name:
                    existing_names[sales_name].add(name)
        print(f"  {sales_name}表已有 {len(existing_names[sales_name])} 条记录")
    
    # Step 3: Dedup and prepare new rows
    print("\n=== Step 3: 去重 ===")
    new_rows = {"小龙": [], "吴迪": []}
    
    for sales_name, entries in by_sales.items():
        existing = existing_names[sales_name]
        for e in entries:
            if e["name"] not in existing:
                # Format: [销售归属, 微信昵称, 进线日期, 体验节数, 手机号, 用户年级, 课史/跟进, 用户ID, 注册日期, 下载渠道, 是否下单]
                new_rows[sales_name].append([sales_name, e["name"], e["date"], "", "", "", "", "", "", "", ""])
            else:
                print(f"  跳过重复: [{sales_name}] {e['name']}")
    
    for s, rows in new_rows.items():
        print(f"  {s}新增: {len(rows)} 条")
    
    # Step 4: Write to sheets
    print("\n=== Step 4: 写入销售表 ===")
    for sales_name, rows in new_rows.items():
        if not rows:
            print(f"  {sales_name}: 无新增，跳过")
            continue
        sheet_id = SHEET_IDS[sales_name]
        ok = append_rows(token, sheet_id, rows)
        if ok:
            print(f"  {sales_name}: ✅ 写入 {len(rows)} 条")
        else:
            print(f"  {sales_name}: ❌ 写入失败")
    
    # Step 5: Summary
    print("\n=== 汇总 ===")
    print(f"微伴6月总量: {len(weiban_entries)} 条")
    print(f"小龙: 微伴{len(by_sales['小龙'])}条 → 新增{len(new_rows['小龙'])}条")
    print(f"吴迪: 微伴{len(by_sales['吴迪'])}条 → 新增{len(new_rows['吴迪'])}条")

if __name__ == "__main__":
    main()