497 lines
23 KiB
Python
497 lines
23 KiB
Python
#!/usr/bin/env python3
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"""
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销售线索转化统计 v11 — 公式版
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设计原则：
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- 过程数据：写入原始数字（人数/金额），比率/GSV 全部用公式
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- 销转总览：SUMIFS 从过程数据引用，转化率/ROI 用公式
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- 落单渠道分布：渠道数字写入，合计列用 SUM 公式
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- 参数 sheet：线索成本，供 VLOOKUP 引用
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"""
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import json, requests, os, re, time, psycopg2
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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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SHEET_MAP = {"吴迪": "f975f0", "小龙": "qJF4I", "成都": "qJF4J"}
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TARGET_MONTHS = [3, 4, 5, 6]
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COSTS = {3: 243, 4: 246, 5: 241}
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SALES_ORDER = ["小龙", "吴迪", "Bob", "Tom"]
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PG_HOST = "bj-postgres-16pob4sg.sql.tencentcdb.com"
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PG_PORT = 28591
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PG_USER = "ai_member"
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PG_PASSWORD = "LdfjdjL83h3h3^$&**YGG*"
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PG_DB = "vala_bi"
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# Sheet 名称（公式跨表引用用）
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SN_FUNNEL = "📊 过程数据"
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SN_OVERVIEW = "📊 销转总览"
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SN_CHANNEL = "📊 落单渠道分布"
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SN_PARAMS = "📊 参数"
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# ── 数据库查询 ──────────────────────────────────────────
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def get_orders_for_accounts(account_ids):
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if not account_ids:
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return {}, []
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conn = psycopg2.connect(host=PG_HOST, port=PG_PORT, user=PG_USER, password=PG_PASSWORD, dbname=PG_DB)
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cur = conn.cursor()
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placeholders = ','.join(['%s'] * len(account_ids))
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cur.execute(f"""
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SELECT o.account_id, o.trade_no, o.pay_success_date, o.key_from,
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o.pay_amount_int, o.order_status
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FROM bi_vala_order o
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JOIN bi_vala_app_account a ON o.account_id = a.id AND a.status = 1
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WHERE o.account_id IN ({placeholders})
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AND o.pay_success_date IS NOT NULL
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AND o.order_status IN (3, 4)
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ORDER BY o.account_id, o.pay_success_date
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""", list(account_ids))
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orders_by_account = defaultdict(list)
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all_trade_nos = []
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for row in cur.fetchall():
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aid, trade_no, pay_date, key_from, amount, status = row
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orders_by_account[aid].append({
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'trade_no': trade_no,
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'pay_date': str(pay_date)[:10] if pay_date else '',
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'key_from': key_from or '',
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'amount': float(amount) / 100.0 if amount else 0,
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'status': status,
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})
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all_trade_nos.append(trade_no)
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cur.close()
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conn.close()
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return orders_by_account, all_trade_nos
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def get_refund_for_trade_nos(trade_nos):
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if not trade_nos:
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return {}
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conn = psycopg2.connect(host=PG_HOST, port=PG_PORT, user=PG_USER, password=PG_PASSWORD, dbname=PG_DB)
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cur = conn.cursor()
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refunds = {}
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batch_size = 500
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for i in range(0, len(trade_nos), batch_size):
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batch = trade_nos[i:i+batch_size]
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placeholders = ','.join(['%s'] * len(batch))
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cur.execute(f"""
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SELECT o.trade_no, COALESCE(SUM(r.refund_amount::numeric), 0)/100.0
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FROM bi_vala_order o
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JOIN bi_refund_order r ON o.trade_no = r.trade_no
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WHERE r.status = 3 AND o.order_status = 4
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AND o.trade_no IN ({placeholders})
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GROUP BY o.trade_no
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""", batch)
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for row in cur.fetchall():
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refunds[row[0]] = float(row[1])
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cur.close()
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conn.close()
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return refunds
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def classify_channel(key_from):
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kf = str(key_from).strip()
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if not kf: return "其他"
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if kf.startswith("sales-adp"): return "销转渠道"
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if kf in ('app-active-h5-0-0', 'app-sales-bj-qhm-0'): return "端内"
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if kf.startswith("miniprogram"): return "端内"
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if kf.startswith("newmedia-daren") or "daren" in kf.lower(): return "达人渠道"
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if kf.startswith("newmedia-dianpu-xhs"): return "直购渠道"
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if kf.startswith("newmedia-dianpu-douyin"): return "直购渠道"
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if "jingxuan" in kf and "douyin" in kf.lower(): return "直购渠道"
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if kf.startswith("stream-xhs"): return "直购渠道"
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if "wxxd" in kf: return "直购渠道"
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if kf.startswith("partner"): return "直购渠道"
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if kf.startswith("newmedia-dianpu-wwxx"): return "达人渠道"
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if kf.startswith("newmedia-"): return "直购渠道"
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return "其他"
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CHANNEL_ORDER = ["销转渠道", "端内", "直购渠道", "达人渠道", "其他"]
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# ── 飞书 API ──────────────────────────────────────────
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BLUE = "#4472C4"; WHITE = "#FFFFFF"
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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("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"]}, timeout=15)
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return resp.json()["tenant_access_token"]
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def read_sheet(token, sheet_id):
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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}",
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headers={"Authorization": f"Bearer {token}"}, timeout=60)
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return resp.json()["data"]["valueRange"]["values"][2:]
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def parse_month(date_str):
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m = re.match(r'(\d+)月', str(date_str).strip())
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return int(m.group(1)) if m else None
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def parse_row(row):
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def get(idx, default=""):
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return str(row[idx]).strip() if idx < len(row) and row[idx] else default
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return {
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"sales": get(0), "nickname": get(1), "lead_date": get(2),
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"trial_lessons": get(3), "phone": get(4), "grade": get(5),
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"history": get(6), "user_id": get(7), "reg_date": get(8),
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"download_channel": get(9), "is_order": get(10), "order_date": get(11),
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"order_channel": get(12), "product": get(13), "gmv": get(14),
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"refund": get(15), "gsv": get(16), "activated": get(17),
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"progress": get(18), "last_study": get(19), "study_min": get(20),
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"update_time": get(21),
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}
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def safe_int(val):
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try: return int(float(val))
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except: return 0
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def get_or_create_sheet(token, title):
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resp = requests.get(
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f"https://open.feishu.cn/open-apis/sheets/v2/spreadsheets/{SPREADSHEET_TOKEN}/metainfo",
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headers={"Authorization": f"Bearer {token}"}, timeout=15)
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sheets = resp.json().get("data", {}).get("sheets", [])
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for s in sheets:
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if s.get("title") == title:
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sid = s["sheetId"]
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print(f" 复用已有 sheet: {title} ({sid})，清空旧数据...")
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requests.put(
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f"https://open.feishu.cn/open-apis/sheets/v2/spreadsheets/{SPREADSHEET_TOKEN}/values",
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headers={"Authorization": f"Bearer {token}", "Content-Type": "application/json"},
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json={"valueRange": {"range": f"{sid}!A1:ZZ200", "values": [['']]}}, timeout=30)
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return sid
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resp = requests.post(
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f"https://open.feishu.cn/open-apis/sheets/v2/spreadsheets/{SPREADSHEET_TOKEN}/sheets_batch_update",
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headers={"Authorization": f"Bearer {token}", "Content-Type": "application/json"},
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json={"requests": [{"addSheet": {"properties": {"title": title, "index": 10}}}]}, timeout=30)
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result = resp.json()
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if result.get("code") == 0:
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replies = result["data"]["replies"]
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if replies and "addSheet" in replies[0]:
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return replies[0]["addSheet"]["properties"]["sheetId"]
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print(f" 创建sheet失败: {result}")
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return None
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def write_values(token, sheet_id, range_str, values):
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resp = requests.put(
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f"https://open.feishu.cn/open-apis/sheets/v2/spreadsheets/{SPREADSHEET_TOKEN}/values",
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headers={"Authorization": f"Bearer {token}", "Content-Type": "application/json"},
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json={"valueRange": {"range": f"{sheet_id}!{range_str}", "values": values}}, timeout=30)
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code = resp.json().get("code")
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if code != 0:
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print(f" ❌ {range_str}: {resp.json()}")
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return code == 0
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def apply_style(token, sheet_id, col_start, row_start, col_end, row_end, style):
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rng = f"{sheet_id}!{col_start}{row_start}:{col_end}{row_end}"
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resp = requests.put(
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f"https://open.feishu.cn/open-apis/sheets/v2/spreadsheets/{SPREADSHEET_TOKEN}/style",
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headers={"Authorization": f"Bearer {token}", "Content-Type": "application/json"},
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json={"appendStyle": {"range": rng, "style": style}}, timeout=30)
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code = resp.json().get("code")
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if code != 0:
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print(f" ❌ {rng}: {resp.json()}")
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return code == 0
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def header_style():
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return {"backcolor": BLUE, "fontColor": WHITE, "bold": True, "fontSize": 10}
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# ── 主流程 ──────────────────────────────────────────
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def main():
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token = get_token()
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# 1. 读取销售明细
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print("读取销售明细...")
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all_leads = []
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for sheet_label, sheet_id in SHEET_MAP.items():
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rows = read_sheet(token, sheet_id)
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for row in rows:
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d = parse_row(row)
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all_leads.append(d)
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print(f" 总计: {len(all_leads)} 条线索")
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by_month = defaultdict(list)
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for r in all_leads:
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m = parse_month(r["lead_date"])
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if m in TARGET_MONTHS:
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by_month[m].append(r)
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for m in TARGET_MONTHS:
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print(f" {m}月: {len(by_month[m])} 条线索")
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# 2. 查数据库订单
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all_user_ids = set()
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for r in all_leads:
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uid = safe_int(r["user_id"])
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if uid > 0:
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all_user_ids.add(uid)
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print(f"\n查询数据库订单（{len(all_user_ids)} 个用户）...")
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db_orders, all_trade_nos = get_orders_for_accounts(all_user_ids)
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print(f" 有订单的用户: {len(db_orders)} 人, 订单: {sum(len(v) for v in db_orders.values())} 笔")
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# 3. 查退款
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print(f"查询退款（{len(all_trade_nos)} 笔订单）...")
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refund_by_trade = get_refund_for_trade_nos(all_trade_nos)
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print(f" 退款: {len(refund_by_trade)} 笔, ¥{sum(refund_by_trade.values()):,.0f}")
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# 4-5. 匹配订单 + 计算 GMV/退款/GSV
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for r in all_leads:
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uid = safe_int(r["user_id"])
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r["_db_orders"] = db_orders.get(uid, [])
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r["_has_order"] = len(r["_db_orders"]) > 0
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orders = r["_db_orders"]
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r["_db_gmv"] = sum(o['amount'] for o in orders)
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r["_db_refund"] = sum(refund_by_trade.get(o['trade_no'], 0) for o in orders)
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r["_db_gsv"] = r["_db_gmv"] - r["_db_refund"]
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# ═══════════════════════════════════════════════════
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# 6. 过程数据（只写原始数字，比率/GSV 用公式）
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# ═══════════════════════════════════════════════════
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# 列布局 (A-AF, 32列):
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# A=月份 B=销售 C=线索总数
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# D=拿手机号数 E=拿手机号率(=D/C)
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# F=注册数 G=注册率(=F/C)
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# H=首课人数(>=1) I=首课率(=H/C) J=一节课转化人数(<=1&ordered) K=一节课转化率(=J/C)
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# L=二次课人数(>=2) M=二次课率(=L/C) N=二节课转化人数(<=2&ordered) O=二节课转化率(=N/C)
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# P=三次课人数(>=3) Q=三次课率(=P/C) R=三节课转化人数(<=3&ordered) S=三节课转化率(=R/C)
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# T=四次课人数(>=4) U=四次课率(=T/C) V=四节课转化人数(<=4&ordered) W=四节课转化率(=V/C)
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# X=五次课人数(>=5) Y=五次课率(=X/C) Z=五节课转化人数(<=5&ordered) AA=五节课转化率(=Z/C)
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# AB=订单数 AC=转化率(=AB/C) AD=GMV AE=退款金额 AF=GSV(=AD-AE)
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print("\n=== 1. 过程数据（底表） ===")
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sid_funnel = get_or_create_sheet(token, SN_FUNNEL)
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meta = requests.get(
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f"https://open.feishu.cn/open-apis/sheets/v2/spreadsheets/{SPREADSHEET_TOKEN}/metainfo",
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headers={"Authorization": f"Bearer {token}"}, timeout=10).json()
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for s in meta.get('data', {}).get('sheets', []):
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if s.get('sheetId') == sid_funnel:
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mr = s.get('row_count', 0)
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if mr > 0:
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requests.delete(
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f"https://open.feishu.cn/open-apis/sheets/v2/spreadsheets/{SPREADSHEET_TOKEN}/sheets/{sid_funnel}/range?dimension=ROWS&start_index=1&end_index={mr}",
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headers={"Authorization": f"Bearer {token}"}, timeout=15)
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time.sleep(0.5)
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break
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hdr = [["月份", "销售", "线索总数",
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"拿手机号数", "拿手机号率",
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"注册数", "注册率",
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"首课人数", "首课率", "一节课转化人数", "一节课转化率",
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"二次课人数", "二次课率", "二节课转化人数", "二节课转化率",
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"三次课人数", "三次课率", "三节课转化人数", "三节课转化率",
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"四次课人数", "四次课率", "四节课转化人数", "四节课转化率",
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"五次课人数", "五次课率", "五节课转化人数", "五节课转化率",
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"订单数", "转化率", "GMV", "退款金额", "GSV"]]
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write_values(token, sid_funnel, "A1:AF1", hdr)
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apply_style(token, sid_funnel, "A", 1, "AF", 1, header_style())
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# 数据行：原始数字 + 公式
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row_idx = 2
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for m in TARGET_MONTHS:
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for sales in SALES_ORDER:
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leads = [r for r in by_month[m] if r["sales"] == sales]
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if not leads:
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continue
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lead_count = len(leads)
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has_phone = len([r for r in leads if r["phone"] and r["phone"] != "未注册"])
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registered = len([r for r in leads if r["user_id"] and r["user_id"] != "未注册"])
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trial = [safe_int(r["trial_lessons"]) for r in leads]
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ordered = [r for r in leads if r["_has_order"]]
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order_count = len(ordered)
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gmv = sum(r["_db_gmv"] for r in ordered)
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refund = sum(r["_db_refund"] for r in ordered)
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ge = {n: len([t for t in trial if t >= n]) for n in range(1, 6)}
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le_conv = {n: len([r for r in leads if safe_int(r["trial_lessons"]) <= n and r["_has_order"]]) for n in range(1, 6)}
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r = row_idx
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row_data = [[
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f"{m}月", sales, lead_count,
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has_phone, f"=D{r}/C{r}",
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registered, f"=F{r}/C{r}",
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ge[1], f"=H{r}/C{r}", le_conv[1], f"=J{r}/C{r}",
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ge[2], f"=L{r}/C{r}", le_conv[2], f"=N{r}/C{r}",
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ge[3], f"=P{r}/C{r}", le_conv[3], f"=R{r}/C{r}",
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ge[4], f"=T{r}/C{r}", le_conv[4], f"=V{r}/C{r}",
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ge[5], f"=X{r}/C{r}", le_conv[5], f"=Z{r}/C{r}",
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order_count, f"=AB{r}/C{r}",
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gmv, refund, f"=AD{r}-AE{r}",
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]]
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write_values(token, sid_funnel, f"A{r}:AF{r}", row_data)
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row_idx += 1
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if (row_idx - 2) % 5 == 0:
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time.sleep(0.5)
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last_funnel_row = row_idx - 1
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print(f" ✅ 过程数据 {last_funnel_row - 1} 行")
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# ═══════════════════════════════════════════════════
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# 7. 参数 sheet（线索成本，供 VLOOKUP 引用）
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# ═══════════════════════════════════════════════════
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print("\n=== 2. 参数 ===")
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sid_params = get_or_create_sheet(token, SN_PARAMS)
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params_data = [["月份", "线索成本(元)"]]
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for m in TARGET_MONTHS:
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c = COSTS.get(m, 0)
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params_data.append([f"{m}月", c if c > 0 else 0])
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write_values(token, sid_params, f"A1:B{len(params_data)}", params_data)
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apply_style(token, sid_params, "A", 1, "B", 1, header_style())
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print(" ✅")
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# ═══════════════════════════════════════════════════
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# 8. 落单渠道分布（渠道数字 + SUM 公式）
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# ═══════════════════════════════════════════════════
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# 列: A=月份 B=销售 C=销转-订单 D=销转-GMV E=端内-订单 F=端内-GMV
|
||
# G=直购-订单 H=直购-GMV I=达人-订单 J=达人-GMV K=其他-订单 L=其他-GMV
|
||
# M=合计-订单(=SUM(C,E,G,I,K)) N=合计-GMV(=SUM(D,F,H,J,L))
|
||
print("\n=== 3. 落单渠道分布 ===")
|
||
sid_ch = get_or_create_sheet(token, SN_CHANNEL)
|
||
|
||
meta = requests.get(
|
||
f"https://open.feishu.cn/open-apis/sheets/v2/spreadsheets/{SPREADSHEET_TOKEN}/metainfo",
|
||
headers={"Authorization": f"Bearer {token}"}, timeout=10).json()
|
||
for s in meta.get('data', {}).get('sheets', []):
|
||
if s.get('sheetId') == sid_ch:
|
||
mr = s.get('row_count', 0)
|
||
if mr > 0:
|
||
requests.delete(
|
||
f"https://open.feishu.cn/open-apis/sheets/v2/spreadsheets/{SPREADSHEET_TOKEN}/sheets/{sid_ch}/range?dimension=ROWS&start_index=1&end_index={mr}",
|
||
headers={"Authorization": f"Bearer {token}"}, timeout=15)
|
||
time.sleep(0.5)
|
||
break
|
||
|
||
ch_hdr = [["月份", "销售"] +
|
||
[f"{c}-{m}" for c in CHANNEL_ORDER for m in ["订单", "GMV"]] +
|
||
["合计-订单", "合计-GMV"]]
|
||
write_values(token, sid_ch, "A1:N1", ch_hdr)
|
||
apply_style(token, sid_ch, "A", 1, "N", 1, header_style())
|
||
|
||
# 构建渠道数据
|
||
ms_channel = defaultdict(lambda: defaultdict(lambda: {"orders": 0, "gmv": 0.0}))
|
||
for m in TARGET_MONTHS:
|
||
for r in by_month[m]:
|
||
sales = r["sales"]
|
||
for o in r["_db_orders"]:
|
||
cat = classify_channel(o['key_from'])
|
||
ms_channel[(m, sales)][cat]["orders"] += 1
|
||
ms_channel[(m, sales)][cat]["gmv"] += o['amount']
|
||
|
||
ch_row = 2
|
||
for m in TARGET_MONTHS:
|
||
# 合计行
|
||
row_data = [f"{m}月", "合计"]
|
||
for cat in CHANNEL_ORDER:
|
||
o = sum(ms_channel[(m, s)][cat]["orders"] for s in SALES_ORDER)
|
||
g = sum(ms_channel[(m, s)][cat]["gmv"] for s in SALES_ORDER)
|
||
row_data.append(o)
|
||
row_data.append(g)
|
||
# 合计列用 SUM 公式
|
||
row_data.append(f"=SUM(C{ch_row},E{ch_row},G{ch_row},I{ch_row},K{ch_row})")
|
||
row_data.append(f"=SUM(D{ch_row},F{ch_row},H{ch_row},J{ch_row},L{ch_row})")
|
||
write_values(token, sid_ch, f"A{ch_row}:N{ch_row}", [row_data])
|
||
ch_row += 1
|
||
|
||
# 个人行
|
||
for sales in SALES_ORDER:
|
||
if not any(r["sales"] == sales for r in by_month[m]):
|
||
continue
|
||
row_data = [f"{m}月", sales]
|
||
for cat in CHANNEL_ORDER:
|
||
o = ms_channel[(m, sales)][cat]["orders"]
|
||
g = ms_channel[(m, sales)][cat]["gmv"]
|
||
row_data.append(o)
|
||
row_data.append(g)
|
||
row_data.append(f"=SUM(C{ch_row},E{ch_row},G{ch_row},I{ch_row},K{ch_row})")
|
||
row_data.append(f"=SUM(D{ch_row},F{ch_row},H{ch_row},J{ch_row},L{ch_row})")
|
||
write_values(token, sid_ch, f"A{ch_row}:N{ch_row}", [row_data])
|
||
ch_row += 1
|
||
if (ch_row - 2) % 5 == 0:
|
||
time.sleep(0.5)
|
||
|
||
print(f" ✅ 落单渠道 {ch_row - 2} 行")
|
||
|
||
# ═══════════════════════════════════════════════════
|
||
# 9. 销转总览（SUMIFS 从过程数据引用 + 公式）
|
||
# ═══════════════════════════════════════════════════
|
||
# 列: A=月份 B=销售 C=线索数 D=订单数 E=转化率(=D/C)
|
||
# F=GMV G=退款金额 H=GSV(=F-G)
|
||
# I=投放消耗(=C*VLOOKUP(A,参数!A:B,2,0))
|
||
# J=达人GMV K=达人佣金(=J*0.4) L=总成本(=I+K) M=退后ROI(=H/L)
|
||
print("\n=== 4. 销转总览 ===")
|
||
sid_ov = get_or_create_sheet(token, SN_OVERVIEW)
|
||
|
||
meta = requests.get(
|
||
f"https://open.feishu.cn/open-apis/sheets/v2/spreadsheets/{SPREADSHEET_TOKEN}/metainfo",
|
||
headers={"Authorization": f"Bearer {token}"}, timeout=10).json()
|
||
for s in meta.get('data', {}).get('sheets', []):
|
||
if s.get('sheetId') == sid_ov:
|
||
mr = s.get('row_count', 0)
|
||
if mr > 0:
|
||
requests.delete(
|
||
f"https://open.feishu.cn/open-apis/sheets/v2/spreadsheets/{SPREADSHEET_TOKEN}/sheets/{sid_ov}/range?dimension=ROWS&start_index=1&end_index={mr}",
|
||
headers={"Authorization": f"Bearer {token}"}, timeout=15)
|
||
time.sleep(0.5)
|
||
break
|
||
|
||
ov_hdr = [["月份", "销售", "线索数", "订单数", "转化率",
|
||
"GMV", "退款金额", "GSV", "投放消耗", "达人GMV",
|
||
"达人佣金(40%)", "总成本", "退后ROI"]]
|
||
write_values(token, sid_ov, "A1:M1", ov_hdr)
|
||
apply_style(token, sid_ov, "A", 1, "M", 1, header_style())
|
||
|
||
# 过程数据 sheet 列映射（用于 SUMIFS）
|
||
# A=月份 B=销售 C=线索总数 AB=订单数 AD=GMV AE=退款金额
|
||
F = SN_FUNNEL # sheet 名简写
|
||
|
||
ov_row = 2
|
||
for m in TARGET_MONTHS:
|
||
month_str = f"{m}月"
|
||
|
||
# 合计行
|
||
row_data = [
|
||
month_str, "合计",
|
||
f"=SUMIFS('{F}'!C:C,'{F}'!A:A,A{ov_row},'{F}'!B:B,\"<>\")",
|
||
f"=SUMIFS('{F}'!AB:AB,'{F}'!A:A,A{ov_row},'{F}'!B:B,\"<>\")",
|
||
f"=D{ov_row}/C{ov_row}",
|
||
f"=SUMIFS('{F}'!AD:AD,'{F}'!A:A,A{ov_row},'{F}'!B:B,\"<>\")",
|
||
f"=SUMIFS('{F}'!AE:AE,'{F}'!A:A,A{ov_row},'{F}'!B:B,\"<>\")",
|
||
f"=F{ov_row}-G{ov_row}",
|
||
f"=C{ov_row}*VLOOKUP(A{ov_row},'{SN_PARAMS}'!A:B,2,0)",
|
||
f"=SUMIFS('{SN_CHANNEL}'!J:J,'{SN_CHANNEL}'!A:A,A{ov_row},'{SN_CHANNEL}'!B:B,\"合计\")",
|
||
f"=J{ov_row}*0.4",
|
||
f"=I{ov_row}+K{ov_row}",
|
||
f"=IF(L{ov_row}>0,H{ov_row}/L{ov_row},\"-\")",
|
||
]
|
||
write_values(token, sid_ov, f"A{ov_row}:M{ov_row}", [row_data])
|
||
ov_row += 1
|
||
|
||
# 个人行
|
||
for sales in SALES_ORDER:
|
||
if not any(r["sales"] == sales for r in by_month[m]):
|
||
continue
|
||
row_data = [
|
||
month_str, sales,
|
||
f"=SUMIFS('{F}'!C:C,'{F}'!A:A,A{ov_row},'{F}'!B:B,B{ov_row})",
|
||
f"=SUMIFS('{F}'!AB:AB,'{F}'!A:A,A{ov_row},'{F}'!B:B,B{ov_row})",
|
||
f"=D{ov_row}/C{ov_row}",
|
||
f"=SUMIFS('{F}'!AD:AD,'{F}'!A:A,A{ov_row},'{F}'!B:B,B{ov_row})",
|
||
f"=SUMIFS('{F}'!AE:AE,'{F}'!A:A,A{ov_row},'{F}'!B:B,B{ov_row})",
|
||
f"=F{ov_row}-G{ov_row}",
|
||
f"=C{ov_row}*VLOOKUP(A{ov_row},'{SN_PARAMS}'!A:B,2,0)",
|
||
f"=SUMIFS('{SN_CHANNEL}'!J:J,'{SN_CHANNEL}'!A:A,A{ov_row},'{SN_CHANNEL}'!B:B,B{ov_row})",
|
||
f"=J{ov_row}*0.4",
|
||
f"=I{ov_row}+K{ov_row}",
|
||
f"=IF(L{ov_row}>0,H{ov_row}/L{ov_row},\"-\")",
|
||
]
|
||
write_values(token, sid_ov, f"A{ov_row}:M{ov_row}", [row_data])
|
||
ov_row += 1
|
||
if (ov_row - 2) % 5 == 0:
|
||
time.sleep(0.5)
|
||
|
||
print(f" ✅ 销转总览 {ov_row - 2} 行")
|
||
print("\n✅ 全部完成")
|
||
|
||
if __name__ == "__main__":
|
||
main()
|