Files
MediaCrawler/store/weibo/_store_impl.py
程序员阿江(Relakkes) 9f4f8bf768 refactor: 教学版移除全平台用户个人信息采集与持久化
- 用户 ID 转为匿名 creator_hash,昵称中间脱敏,IP/头像/主页/签名/性别不再采集
- 覆盖 xhs/weibo/bilibili/douyin/kuaishou/tieba/zhihu 7 个平台
- 删除 7 张 creator 档案 ORM 表,15 张内容/评论表新增 creator_hash 列
- B 站禁用粉丝/关注/联系人列表抓取
- 新增 tools/user_hash.py 与 4 个平台的 mock+SQLite 端到端测试

测试: pytest tests/test_no_user_info.py tests/test_weibo_no_user_info.py tests/test_douyin_no_user_info.py tests/test_kuaishou_no_user_info.py (21 passed)
2026-07-01 13:09:55 +08:00

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# -*- coding: utf-8 -*-
# Copyright (c) 2025 relakkes@gmail.com
#
# This file is part of MediaCrawler project.
# Repository: https://github.com/NanmiCoder/MediaCrawler/blob/main/store/weibo/_store_impl.py
# GitHub: https://github.com/NanmiCoder
# Licensed under NON-COMMERCIAL LEARNING LICENSE 1.1
#
# 声明:本代码仅供学习和研究目的使用。使用者应遵守以下原则:
# 1. 不得用于任何商业用途。
# 2. 使用时应遵守目标平台的使用条款和robots.txt规则。
# 3. 不得进行大规模爬取或对平台造成运营干扰。
# 4. 应合理控制请求频率,避免给目标平台带来不必要的负担。
# 5. 不得用于任何非法或不当的用途。
#
# 详细许可条款请参阅项目根目录下的LICENSE文件。
# 使用本代码即表示您同意遵守上述原则和LICENSE中的所有条款。
# -*- coding: utf-8 -*-
# @Author : persist1@126.com
# @Time : 2025/9/5 19:34
# @Desc : Weibo storage implementation class
import asyncio
import csv
import json
import os
import pathlib
from typing import Dict
import aiofiles
from sqlalchemy import select
from sqlalchemy.ext.asyncio import AsyncSession
import config
from base.base_crawler import AbstractStore
from database.models import WeiboNote, WeiboNoteComment
from tools import utils, words
from tools.async_file_writer import AsyncFileWriter
from database.db_session import get_session
from var import crawler_type_var
from database.mongodb_store_base import MongoDBStoreBase
def calculate_number_of_files(file_store_path: str) -> int:
"""Calculate the prefix sorting number for data save files, supporting writing to different files for each run
Args:
file_store_path;
Returns:
file nums
"""
if not os.path.exists(file_store_path):
return 1
try:
return max([int(file_name.split("_")[0]) for file_name in os.listdir(file_store_path)]) + 1
except ValueError:
return 1
def _filter_model_fields(model_cls, item: Dict) -> Dict:
"""只保留目标 ORM 模型已有的列,避免把已删除/多余字段(如 avatar/gender/
profile_url/ip_location/user_id传给 ORM 构造而报错。教学版兜底保护。"""
allowed = {col.name for col in model_cls.__table__.columns}
return {k: v for k, v in item.items() if k in allowed}
class WeiboCsvStoreImplement(AbstractStore):
def __init__(self, **kwargs):
super().__init__(**kwargs)
self.writer = AsyncFileWriter(platform="weibo", crawler_type=crawler_type_var.get())
async def store_content(self, content_item: Dict):
"""
Weibo content CSV storage implementation
Args:
content_item: note item dict
Returns:
"""
await self.writer.write_to_csv(item_type="contents", item=content_item)
async def store_comment(self, comment_item: Dict):
"""
Weibo comment CSV storage implementation
Args:
comment_item: comment item dict
Returns:
"""
await self.writer.write_to_csv(item_type="comments", item=comment_item)
async def store_creator(self, creator: Dict):
"""
Weibo creator CSV storage implementation
教学版:不采集/持久化创作者个人信息,空操作。
Args:
creator:
Returns:
"""
pass
class WeiboDbStoreImplement(AbstractStore):
async def store_content(self, content_item: Dict):
"""
Weibo content DB storage implementation
Args:
content_item: content item dict
Returns:
"""
# 教学版兜底:过滤掉已删除/多余字段,确保不会把 user_id/avatar 等传给 ORM
content_item = _filter_model_fields(WeiboNote, content_item)
note_id = int(content_item.get("note_id"))
content_item["note_id"] = note_id
async with get_session() as session:
stmt = select(WeiboNote).where(WeiboNote.note_id == note_id)
res = await session.execute(stmt)
db_note = res.scalar_one_or_none()
if db_note:
db_note.last_modify_ts = utils.get_current_timestamp()
for key, value in content_item.items():
if hasattr(db_note, key):
setattr(db_note, key, value)
else:
content_item["add_ts"] = utils.get_current_timestamp()
content_item["last_modify_ts"] = utils.get_current_timestamp()
db_note = WeiboNote(**content_item)
session.add(db_note)
await session.commit()
async def store_comment(self, comment_item: Dict):
"""
Weibo content DB storage implementation
Args:
comment_item: comment item dict
Returns:
"""
# 教学版兜底:过滤掉已删除/多余字段,确保不会把 user_id/avatar 等传给 ORM
comment_item = _filter_model_fields(WeiboNoteComment, comment_item)
comment_id = int(comment_item.get("comment_id"))
comment_item["comment_id"] = comment_id
comment_item["note_id"] = int(comment_item.get("note_id", 0) or 0)
comment_item["create_time"] = int(comment_item.get("create_time", 0) or 0)
comment_item["comment_like_count"] = str(comment_item.get("comment_like_count", "0"))
comment_item["sub_comment_count"] = str(comment_item.get("sub_comment_count", "0"))
comment_item["parent_comment_id"] = str(comment_item.get("parent_comment_id", "0"))
async with get_session() as session:
stmt = select(WeiboNoteComment).where(WeiboNoteComment.comment_id == comment_id)
res = await session.execute(stmt)
db_comment = res.scalar_one_or_none()
if db_comment:
db_comment.last_modify_ts = utils.get_current_timestamp()
for key, value in comment_item.items():
if hasattr(db_comment, key):
setattr(db_comment, key, value)
else:
comment_item["add_ts"] = utils.get_current_timestamp()
comment_item["last_modify_ts"] = utils.get_current_timestamp()
db_comment = WeiboNoteComment(**comment_item)
session.add(db_comment)
await session.commit()
async def store_creator(self, creator: Dict):
"""
Weibo creator DB storage implementation
教学版:不采集/持久化创作者个人信息空操作WeiboCreator 表已删除)。
Args:
creator:
Returns:
"""
pass
class WeiboJsonStoreImplement(AbstractStore):
def __init__(self, **kwargs):
super().__init__(**kwargs)
self.writer = AsyncFileWriter(platform="weibo", crawler_type=crawler_type_var.get())
async def store_content(self, content_item: Dict):
"""
content JSON storage implementation
Args:
content_item:
Returns:
"""
await self.writer.write_single_item_to_json(item_type="contents", item=content_item)
async def store_comment(self, comment_item: Dict):
"""
comment JSON storage implementation
Args:
comment_item:
Returns:
"""
await self.writer.write_single_item_to_json(item_type="comments", item=comment_item)
async def store_creator(self, creator: Dict):
"""
creator JSON storage implementation
教学版:不采集/持久化创作者个人信息,空操作。
Args:
creator:
Returns:
"""
pass
class WeiboJsonlStoreImplement(AbstractStore):
def __init__(self, **kwargs):
super().__init__(**kwargs)
self.writer = AsyncFileWriter(platform="weibo", crawler_type=crawler_type_var.get())
async def store_content(self, content_item: Dict):
await self.writer.write_to_jsonl(item_type="contents", item=content_item)
async def store_comment(self, comment_item: Dict):
await self.writer.write_to_jsonl(item_type="comments", item=comment_item)
async def store_creator(self, creator: Dict):
# 教学版:不采集/持久化创作者个人信息,空操作。
pass
class WeiboSqliteStoreImplement(WeiboDbStoreImplement):
"""
Weibo content SQLite storage implementation
"""
pass
class WeiboMongoStoreImplement(AbstractStore):
"""Weibo MongoDB storage implementation"""
def __init__(self):
self.mongo_store = MongoDBStoreBase(collection_prefix="weibo")
async def store_content(self, content_item: Dict):
"""
Store Weibo content to MongoDB
Args:
content_item: Weibo content data
"""
note_id = content_item.get("note_id")
if not note_id:
return
await self.mongo_store.save_or_update(
collection_suffix="contents",
query={"note_id": note_id},
data=content_item
)
utils.logger.info(f"[WeiboMongoStoreImplement.store_content] Saved note {note_id} to MongoDB")
async def store_comment(self, comment_item: Dict):
"""
Store comment to MongoDB
Args:
comment_item: Comment data
"""
comment_id = comment_item.get("comment_id")
if not comment_id:
return
await self.mongo_store.save_or_update(
collection_suffix="comments",
query={"comment_id": comment_id},
data=comment_item
)
utils.logger.info(f"[WeiboMongoStoreImplement.store_comment] Saved comment {comment_id} to MongoDB")
async def store_creator(self, creator_item: Dict):
"""
Store creator information to MongoDB
教学版:不采集/持久化创作者个人信息,空操作。
Args:
creator_item: Creator data
"""
pass
class WeiboExcelStoreImplement:
"""Weibo Excel storage implementation - Global singleton"""
def __new__(cls, *args, **kwargs):
from store.excel_store_base import ExcelStoreBase
return ExcelStoreBase.get_instance(
platform="weibo",
crawler_type=crawler_type_var.get()
)