146 lines
5.2 KiB
Python
146 lines
5.2 KiB
Python
#!/usr/bin/env python3
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"""同步微伴线索到销售表，去重后追加"""
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import json, requests, os, sys
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from collections import defaultdict
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CRED_DIR = "/root/.openclaw/credentials/xiaoxi"
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SPREADSHEET_TOKEN = "NoZqsFi47hIOHEt9j8WcfRtbnug"
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WEIBAN_FILE = "/tmp/weiban_20260603.xlsx"
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# Sheet IDs
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SHEET_IDS = {"小龙": "qJF4I", "吴迪": "f975f0"}
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# 微伴客服 → 销售映射
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CS_MAP = {"益达老师": "小龙", "吴迪": "吴迪"}
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def get_token():
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with open(os.path.join(CRED_DIR, "config.json")) as f:
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cfg = json.load(f)
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resp = requests.post(
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"https://open.feishu.cn/open-apis/auth/v3/tenant_access_token/internal",
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json={"app_id": cfg["apps"][0]["appId"], "app_secret": cfg["apps"][0]["appSecret"]},
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timeout=15)
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return resp.json()["tenant_access_token"]
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def read_sheet(token, sheet_id, range_str):
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resp = requests.get(
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f"https://open.feishu.cn/open-apis/sheets/v2/spreadsheets/{SPREADSHEET_TOKEN}/values/{sheet_id}!{range_str}",
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headers={"Authorization": f"Bearer {token}"}, timeout=30)
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data = resp.json()
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if data.get("code") != 0:
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print(f" Read error: {data}")
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return []
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return data["data"]["valueRange"]["values"]
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def append_rows(token, sheet_id, rows):
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"""Append rows to sheet using append API"""
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url = f"https://open.feishu.cn/open-apis/sheets/v2/spreadsheets/{SPREADSHEET_TOKEN}/values_append"
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body = {"valueRange": {"range": f"{sheet_id}!A:K", "values": rows}}
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resp = requests.post(url, headers={
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"Authorization": f"Bearer {token}",
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"Content-Type": "application/json"
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}, json=body, timeout=30)
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r = resp.json()
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if r.get("code") != 0:
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print(f" Append error: {r}")
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return False
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return True
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def main():
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token = get_token()
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# Step 1: Parse 微伴 data
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print("=== Step 1: 解析微伴数据 ===")
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import openpyxl
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wb = openpyxl.load_workbook(WEIBAN_FILE, read_only=True)
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ws = wb['Sheet1']
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weiban_entries = []
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for row in ws.iter_rows(min_row=6, values_only=True):
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if row[0] is None:
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continue
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add_time = str(row[13]) if row[13] else ''
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if not add_time.startswith('2026-06'):
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continue
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kefu = row[6] # 所属客服
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sales = CS_MAP.get(kefu)
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if not sales:
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continue
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# Parse date: "2026-06-01 12:34:56" → "6月1日"
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from datetime import datetime
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try:
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dt = datetime.strptime(add_time, "%Y-%m-%d %H:%M:%S")
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date_str = f"{dt.month}月{dt.day}日"
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except:
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date_str = add_time[:10]
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name = str(row[0]).strip() if row[0] else ''
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weiban_entries.append({
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"name": name,
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"date": date_str,
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"sales": sales,
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"kefu": kefu,
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})
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print(f" 微伴6月线索: {len(weiban_entries)} 条")
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# Count by sales
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by_sales = defaultdict(list)
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for e in weiban_entries:
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by_sales[e["sales"]].append(e)
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for s, entries in by_sales.items():
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print(f" {s}: {len(entries)} 条")
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# Step 2: Read existing sales sheet data
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print("\n=== Step 2: 读取销售表现有数据 ===")
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existing_names = {"小龙": set(), "吴迪": set()}
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for sales_name, sheet_id in SHEET_IDS.items():
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data = read_sheet(token, sheet_id, f"A1:K2000")
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for row in data[1:]: # skip header
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if row and len(row) >= 2 and row[1]:
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name = str(row[1]).strip()
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if name:
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existing_names[sales_name].add(name)
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print(f" {sales_name}表已有 {len(existing_names[sales_name])} 条记录")
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# Step 3: Dedup and prepare new rows
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print("\n=== Step 3: 去重 ===")
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new_rows = {"小龙": [], "吴迪": []}
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for sales_name, entries in by_sales.items():
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existing = existing_names[sales_name]
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for e in entries:
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if e["name"] not in existing:
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# 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]
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new_rows[sales_name].append([sales_name, e["name"], e["date"], "", "", "", "", "", "", "", ""])
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else:
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print(f" 跳过重复: [{sales_name}] {e['name']}")
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for s, rows in new_rows.items():
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print(f" {s}新增: {len(rows)} 条")
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# Step 4: Write to sheets
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print("\n=== Step 4: 写入销售表 ===")
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for sales_name, rows in new_rows.items():
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if not rows:
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print(f" {sales_name}: 无新增，跳过")
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continue
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sheet_id = SHEET_IDS[sales_name]
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ok = append_rows(token, sheet_id, rows)
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if ok:
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print(f" {sales_name}: ✅ 写入 {len(rows)} 条")
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else:
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print(f" {sales_name}: ❌ 写入失败")
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# Step 5: Summary
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print("\n=== 汇总 ===")
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print(f"微伴6月总量: {len(weiban_entries)} 条")
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print(f"小龙: 微伴{len(by_sales['小龙'])}条 → 新增{len(new_rows['小龙'])}条")
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print(f"吴迪: 微伴{len(by_sales['吴迪'])}条 → 新增{len(new_rows['吴迪'])}条")
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if __name__ == "__main__":
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main()
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