Files
dc-docs/scripts/extract_group_members.py
T
Evilom 64ac71a8ed feat: daily collection 6/12 - new docs, industry report, .gitignore cleanup
- Collected 9 new messages from dc group and innovation group
- Fetched 6 new Feishu docs (黄静雯/陈楚真/韦译/夏莲/莫润麟/张家振)
- Downloaded 狱国争霸分析拆解.html file attachment
- Saved 6/12 game industry daily report from 韩丹
- Updated .gitignore to exclude temp scripts, images, downloaded files
- Added utility scripts (group members extraction, invitation generation)
2026-06-12 10:32:24 +08:00

168 lines
5.6 KiB
Python

"""从钉钉群拉取全部成员并查询工号/邮箱/手机等详细信息,输出 CSV"""
import csv
import json
import os
import subprocess
import sys
import time
sys.path.insert(0, os.path.join(os.path.dirname(os.path.abspath(__file__))))
from config import DWS
GROUP_ID = "cidrLgqKZUgbJ9PdVHgQQIS9g=="
OUTPUT_DIR = os.path.join(os.path.dirname(os.path.dirname(os.path.abspath(__file__))), "data")
OUTPUT_CSV = os.path.join(OUTPUT_DIR, "group_members_detail.csv")
OUTPUT_JSON = os.path.join(OUTPUT_DIR, "group_members_all.json")
def run_dws(args, timeout=30):
cmd = [DWS] + args + ["-f", "json"]
result = subprocess.run(cmd, capture_output=True, timeout=timeout)
out = result.stdout.decode("utf-8", errors="replace")
for i, ch in enumerate(out):
if ch == "{":
return json.loads(out[i:])
return None
def fetch_all_members():
all_members = []
cursor = "0"
page = 0
while True:
page += 1
args = ["chat", "group", "members", "list", "--id", GROUP_ID, "--cursor", cursor]
data = run_dws(args, timeout=60)
if not data or not data.get("success"):
print(f" page {page} failed: {data}")
break
result = data.get("result", {})
members = result.get("list", [])
all_members.extend(members)
print(f" page {page}: {len(members)} members (total {len(all_members)})")
if not result.get("hasMore"):
break
cursor = str(result.get("nextCursor", ""))
if not cursor:
break
time.sleep(0.3)
return all_members
def search_user_id(name, open_dingtalk_id):
"""通过姓名搜索获取 userId"""
args = ["contact", "user", "search", "--query", name]
data = run_dws(args, timeout=15)
if data and data.get("success"):
results = data.get("result", [])
for r in results:
if r.get("openDingTalkId") == open_dingtalk_id:
return r.get("userId", "")
if r.get("name") == name:
return r.get("userId", "")
if results:
return results[0].get("userId", "")
return ""
def batch_get_user_details(user_ids):
"""批量获取用户详情"""
profiles = {}
batch_size = 20
for i in range(0, len(user_ids), batch_size):
batch = [uid for uid in user_ids[i:i+batch_size] if uid]
if not batch:
continue
ids_str = ",".join(batch)
args = ["contact", "user", "get", "--ids", ids_str]
data = run_dws(args, timeout=30)
if data and data.get("success"):
result = data.get("result", [])
if isinstance(result, list):
for u in result:
model = u.get("orgEmployeeModel", {})
uid = model.get("orgUserId", "")
if uid:
profiles[uid] = model
print(f" batch {i//batch_size+1}/{(len(user_ids)+batch_size-1)//batch_size}: got {len(profiles)} profiles")
time.sleep(0.3)
return profiles
def main():
os.makedirs(OUTPUT_DIR, exist_ok=True)
print("=" * 50)
print("Step 1: Fetch all group members")
print("=" * 50)
members = fetch_all_members()
print(f"\nTotal: {len(members)} members")
with open(OUTPUT_JSON, "w", encoding="utf-8") as f:
json.dump(members, f, ensure_ascii=False, indent=2)
print("\n" + "=" * 50)
print("Step 2: Resolve userId for each member via search")
print("=" * 50)
user_id_map = {} # openDingtalkId -> userId
for idx, m in enumerate(members, 1):
name = m.get("memberEmpName", "")
oid = m.get("openDingtalkId", "")
if name and oid:
uid = search_user_id(name, oid)
if uid:
user_id_map[oid] = uid
if idx % 50 == 0:
print(f" resolved {len(user_id_map)}/{idx} userIds")
time.sleep(0.15)
print(f" resolved {len(user_id_map)}/{len(members)} userIds total")
print("\n" + "=" * 50)
print("Step 3: Batch query user profiles")
print("=" * 50)
all_user_ids = list(user_id_map.values())
profiles = batch_get_user_details(all_user_ids)
print("\n" + "=" * 50)
print("Step 4: Generate CSV")
print("=" * 50)
fieldnames = ["序号", "姓名", "昵称", "工号", "企业邮箱", "职位", "部门", "userId", "角色", "openDingtalkId"]
rows = []
for idx, m in enumerate(members, 1):
oid = m.get("openDingtalkId", "")
name = m.get("memberEmpName", "")
nick = m.get("memberNick", "")
role = m.get("memberRoleDesc", "")
uid = user_id_map.get(oid, "")
p = profiles.get(uid, {})
job_number = p.get("jobNumber", "")
email = p.get("orgAuthEmail", "")
title = p.get("orgTitle", "")
depts = p.get("depts", [])
dept_name = "/".join(d.get("deptName", "") for d in depts) if depts else ""
rows.append({
"序号": idx, "姓名": name, "昵称": nick, "工号": job_number,
"企业邮箱": email, "职位": title, "部门": dept_name,
"userId": uid, "角色": role, "openDingtalkId": oid,
})
with open(OUTPUT_CSV, "w", encoding="utf-8-sig", newline="") as f:
writer = csv.DictWriter(f, fieldnames=fieldnames)
writer.writeheader()
writer.writerows(rows)
print(f"\nCSV saved: {OUTPUT_CSV}")
print(f"Total: {len(rows)} rows")
has_job = sum(1 for r in rows if r["工号"])
has_email = sum(1 for r in rows if r["企业邮箱"])
has_dept = sum(1 for r in rows if r["部门"])
print(f"有工号: {has_job}, 有邮箱: {has_email}, 有部门: {has_dept}")
if __name__ == "__main__":
main()