Uploading the AI Crawler System: MindSpider

This commit is contained in:
戒酒的李白
2025-08-27 13:49:07 +08:00
parent 822bad557f
commit 587e709e82
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# 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 : relakkes@gmail.com
# @Time : 2024/1/14 21:34
# @Desc :
import re
from typing import List
from var import source_keyword_var
from .weibo_store_media import *
from .weibo_store_impl import *
class WeibostoreFactory:
STORES = {
"csv": WeiboCsvStoreImplement,
"db": WeiboDbStoreImplement,
"json": WeiboJsonStoreImplement,
"sqlite": WeiboSqliteStoreImplement,
}
@staticmethod
def create_store() -> AbstractStore:
store_class = WeibostoreFactory.STORES.get(config.SAVE_DATA_OPTION)
if not store_class:
raise ValueError("[WeibotoreFactory.create_store] Invalid save option only supported csv or db or json or sqlite ...")
return store_class()
async def batch_update_weibo_notes(note_list: List[Dict]):
"""
Batch update weibo notes
Args:
note_list:
Returns:
"""
if not note_list:
return
for note_item in note_list:
await update_weibo_note(note_item)
async def update_weibo_note(note_item: Dict):
"""
Update weibo note
Args:
note_item:
Returns:
"""
if not note_item:
return
mblog: Dict = note_item.get("mblog")
user_info: Dict = mblog.get("user")
note_id = mblog.get("id")
content_text = mblog.get("text")
clean_text = re.sub(r"<.*?>", "", content_text)
save_content_item = {
# 微博信息
"note_id": note_id,
"content": clean_text,
"create_time": utils.rfc2822_to_timestamp(mblog.get("created_at")),
"create_date_time": str(utils.rfc2822_to_china_datetime(mblog.get("created_at"))),
"liked_count": str(mblog.get("attitudes_count", 0)),
"comments_count": str(mblog.get("comments_count", 0)),
"shared_count": str(mblog.get("reposts_count", 0)),
"last_modify_ts": utils.get_current_timestamp(),
"note_url": f"https://m.weibo.cn/detail/{note_id}",
"ip_location": mblog.get("region_name", "").replace("发布于 ", ""),
# 用户信息
"user_id": str(user_info.get("id")),
"nickname": user_info.get("screen_name", ""),
"gender": user_info.get("gender", ""),
"profile_url": user_info.get("profile_url", ""),
"avatar": user_info.get("profile_image_url", ""),
"source_keyword": source_keyword_var.get(),
}
utils.logger.info(f"[store.weibo.update_weibo_note] weibo note id:{note_id}, title:{save_content_item.get('content')[:24]} ...")
await WeibostoreFactory.create_store().store_content(content_item=save_content_item)
async def batch_update_weibo_note_comments(note_id: str, comments: List[Dict]):
"""
Batch update weibo note comments
Args:
note_id:
comments:
Returns:
"""
if not comments:
return
for comment_item in comments:
await update_weibo_note_comment(note_id, comment_item)
async def update_weibo_note_comment(note_id: str, comment_item: Dict):
"""
Update weibo note comment
Args:
note_id: weibo note id
comment_item: weibo comment item
Returns:
"""
if not comment_item or not note_id:
return
comment_id = str(comment_item.get("id"))
user_info: Dict = comment_item.get("user")
content_text = comment_item.get("text")
clean_text = re.sub(r"<.*?>", "", content_text)
save_comment_item = {
"comment_id": comment_id,
"create_time": utils.rfc2822_to_timestamp(comment_item.get("created_at")),
"create_date_time": str(utils.rfc2822_to_china_datetime(comment_item.get("created_at"))),
"note_id": note_id,
"content": clean_text,
"sub_comment_count": str(comment_item.get("total_number", 0)),
"comment_like_count": str(comment_item.get("like_count", 0)),
"last_modify_ts": utils.get_current_timestamp(),
"ip_location": comment_item.get("source", "").replace("来自", ""),
"parent_comment_id": comment_item.get("rootid", ""),
# 用户信息
"user_id": str(user_info.get("id")),
"nickname": user_info.get("screen_name", ""),
"gender": user_info.get("gender", ""),
"profile_url": user_info.get("profile_url", ""),
"avatar": user_info.get("profile_image_url", ""),
}
utils.logger.info(f"[store.weibo.update_weibo_note_comment] Weibo note comment: {comment_id}, content: {save_comment_item.get('content', '')[:24]} ...")
await WeibostoreFactory.create_store().store_comment(comment_item=save_comment_item)
async def update_weibo_note_image(picid: str, pic_content, extension_file_name):
"""
Save weibo note image to local
Args:
picid:
pic_content:
extension_file_name:
Returns:
"""
await WeiboStoreImage().store_image({"pic_id": picid, "pic_content": pic_content, "extension_file_name": extension_file_name})
async def save_creator(user_id: str, user_info: Dict):
"""
Save creator information to local
Args:
user_id:
user_info:
Returns:
"""
local_db_item = {
'user_id': user_id,
'nickname': user_info.get('screen_name'),
'gender': '' if user_info.get('gender') == "f" else '',
'avatar': user_info.get('avatar_hd'),
'desc': user_info.get('description'),
'ip_location': user_info.get("source", "").replace("来自", ""),
'follows': user_info.get('follow_count', ''),
'fans': user_info.get('followers_count', ''),
'tag_list': '',
"last_modify_ts": utils.get_current_timestamp(),
}
utils.logger.info(f"[store.weibo.save_creator] creator:{local_db_item}")
await WeibostoreFactory.create_store().store_creator(local_db_item)
@@ -0,0 +1,326 @@
# 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 : relakkes@gmail.com
# @Time : 2024/1/14 21:35
# @Desc : 微博存储实现类
import asyncio
import csv
import json
import os
import pathlib
from typing import Dict
import aiofiles
import config
from base.base_crawler import AbstractStore
from tools import utils, words
from var import crawler_type_var
def calculate_number_of_files(file_store_path: str) -> int:
"""计算数据保存文件的前部分排序数字,支持每次运行代码不写到同一个文件中
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
class WeiboCsvStoreImplement(AbstractStore):
csv_store_path: str = "data/weibo"
file_count: int = calculate_number_of_files(csv_store_path)
def make_save_file_name(self, store_type: str) -> str:
"""
make save file name by store type
Args:
store_type: contents or comments
Returns: eg: data/bilibili/search_comments_20240114.csv ...
"""
return f"{self.csv_store_path}/{crawler_type_var.get()}_{store_type}_{utils.get_current_date()}.csv"
async def save_data_to_csv(self, save_item: Dict, store_type: str):
"""
Below is a simple way to save it in CSV format.
Args:
save_item: save content dict info
store_type: Save type contains content and commentscontents | comments
Returns: no returns
"""
pathlib.Path(self.csv_store_path).mkdir(parents=True, exist_ok=True)
save_file_name = self.make_save_file_name(store_type=store_type)
async with aiofiles.open(save_file_name, mode='a+', encoding="utf-8-sig", newline="") as f:
writer = csv.writer(f)
if await f.tell() == 0:
await writer.writerow(save_item.keys())
await writer.writerow(save_item.values())
async def store_content(self, content_item: Dict):
"""
Weibo content CSV storage implementation
Args:
content_item: note item dict
Returns:
"""
await self.save_data_to_csv(save_item=content_item, store_type="contents")
async def store_comment(self, comment_item: Dict):
"""
Weibo comment CSV storage implementation
Args:
comment_item: comment item dict
Returns:
"""
await self.save_data_to_csv(save_item=comment_item, store_type="comments")
async def store_creator(self, creator: Dict):
"""
Weibo creator CSV storage implementation
Args:
creator:
Returns:
"""
await self.save_data_to_csv(save_item=creator, store_type="creators")
class WeiboDbStoreImplement(AbstractStore):
async def store_content(self, content_item: Dict):
"""
Weibo content DB storage implementation
Args:
content_item: content item dict
Returns:
"""
from .weibo_store_sql import (add_new_content,
query_content_by_content_id,
update_content_by_content_id)
note_id = content_item.get("note_id")
note_detail: Dict = await query_content_by_content_id(content_id=note_id)
if not note_detail:
content_item["add_ts"] = utils.get_current_timestamp()
await add_new_content(content_item)
else:
await update_content_by_content_id(note_id, content_item=content_item)
async def store_comment(self, comment_item: Dict):
"""
Weibo content DB storage implementation
Args:
comment_item: comment item dict
Returns:
"""
from .weibo_store_sql import (add_new_comment,
query_comment_by_comment_id,
update_comment_by_comment_id)
comment_id = comment_item.get("comment_id")
comment_detail: Dict = await query_comment_by_comment_id(comment_id=comment_id)
if not comment_detail:
comment_item["add_ts"] = utils.get_current_timestamp()
await add_new_comment(comment_item)
else:
await update_comment_by_comment_id(comment_id, comment_item=comment_item)
async def store_creator(self, creator: Dict):
"""
Weibo creator DB storage implementation
Args:
creator:
Returns:
"""
from .weibo_store_sql import (add_new_creator,
query_creator_by_user_id,
update_creator_by_user_id)
user_id = creator.get("user_id")
user_detail: Dict = await query_creator_by_user_id(user_id)
if not user_detail:
creator["add_ts"] = utils.get_current_timestamp()
await add_new_creator(creator)
else:
await update_creator_by_user_id(user_id, creator)
class WeiboJsonStoreImplement(AbstractStore):
json_store_path: str = "data/weibo/json"
words_store_path: str = "data/weibo/words"
lock = asyncio.Lock()
file_count: int = calculate_number_of_files(json_store_path)
WordCloud = words.AsyncWordCloudGenerator()
def make_save_file_name(self, store_type: str) -> (str, str):
"""
make save file name by store type
Args:
store_type: Save type contains content and commentscontents | comments
Returns:
"""
return (
f"{self.json_store_path}/{crawler_type_var.get()}_{store_type}_{utils.get_current_date()}.json",
f"{self.words_store_path}/{crawler_type_var.get()}_{store_type}_{utils.get_current_date()}"
)
async def save_data_to_json(self, save_item: Dict, store_type: str):
"""
Below is a simple way to save it in json format.
Args:
save_item: save content dict info
store_type: Save type contains content and commentscontents | comments
Returns:
"""
pathlib.Path(self.json_store_path).mkdir(parents=True, exist_ok=True)
pathlib.Path(self.words_store_path).mkdir(parents=True, exist_ok=True)
save_file_name, words_file_name_prefix = self.make_save_file_name(store_type=store_type)
save_data = []
async with self.lock:
if os.path.exists(save_file_name):
async with aiofiles.open(save_file_name, 'r', encoding='utf-8') as file:
save_data = json.loads(await file.read())
save_data.append(save_item)
async with aiofiles.open(save_file_name, 'w', encoding='utf-8') as file:
await file.write(json.dumps(save_data, ensure_ascii=False))
if config.ENABLE_GET_COMMENTS and config.ENABLE_GET_WORDCLOUD:
try:
await self.WordCloud.generate_word_frequency_and_cloud(save_data, words_file_name_prefix)
except:
pass
async def store_content(self, content_item: Dict):
"""
content JSON storage implementation
Args:
content_item:
Returns:
"""
await self.save_data_to_json(content_item, "contents")
async def store_comment(self, comment_item: Dict):
"""
comment JSON storage implementation
Args:
comment_item:
Returns:
"""
await self.save_data_to_json(comment_item, "comments")
async def store_creator(self, creator: Dict):
"""
creator JSON storage implementation
Args:
creator:
Returns:
"""
await self.save_data_to_json(creator, "creators")
class WeiboSqliteStoreImplement(AbstractStore):
async def store_content(self, content_item: Dict):
"""
Weibo content SQLite storage implementation
Args:
content_item: content item dict
Returns:
"""
from .weibo_store_sql import (add_new_content,
query_content_by_content_id,
update_content_by_content_id)
note_id = content_item.get("note_id")
note_detail: Dict = await query_content_by_content_id(content_id=note_id)
if not note_detail:
content_item["add_ts"] = utils.get_current_timestamp()
await add_new_content(content_item)
else:
await update_content_by_content_id(note_id, content_item=content_item)
async def store_comment(self, comment_item: Dict):
"""
Weibo comment SQLite storage implementation
Args:
comment_item: comment item dict
Returns:
"""
from .weibo_store_sql import (add_new_comment,
query_comment_by_comment_id,
update_comment_by_comment_id)
comment_id = comment_item.get("comment_id")
comment_detail: Dict = await query_comment_by_comment_id(comment_id=comment_id)
if not comment_detail:
comment_item["add_ts"] = utils.get_current_timestamp()
await add_new_comment(comment_item)
else:
await update_comment_by_comment_id(comment_id, comment_item=comment_item)
async def store_creator(self, creator: Dict):
"""
Weibo creator SQLite storage implementation
Args:
creator:
Returns:
"""
from .weibo_store_sql import (add_new_creator,
query_creator_by_user_id,
update_creator_by_user_id)
user_id = creator.get("user_id")
user_detail: Dict = await query_creator_by_user_id(user_id)
if not user_detail:
creator["add_ts"] = utils.get_current_timestamp()
await add_new_creator(creator)
else:
await update_creator_by_user_id(user_id, creator)
@@ -0,0 +1,68 @@
# 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 : Erm
# @Time : 2024/4/9 17:35
# @Desc : 微博媒体保存
import pathlib
from typing import Dict
import aiofiles
from base.base_crawler import AbstractStoreImage, AbstractStoreVideo
from tools import utils
class WeiboStoreImage(AbstractStoreImage):
image_store_path: str = "data/weibo/images"
async def store_image(self, image_content_item: Dict):
"""
store content
Args:
image_content_item:
Returns:
"""
await self.save_image(image_content_item.get("pic_id"), image_content_item.get("pic_content"), image_content_item.get("extension_file_name"))
def make_save_file_name(self, picid: str, extension_file_name: str) -> str:
"""
make save file name by store type
Args:
picid: image id
extension_file_name: video filename with extension
Returns:
"""
return f"{self.image_store_path}/{picid}.{extension_file_name}"
async def save_image(self, picid: str, pic_content: str, extension_file_name="jpg"):
"""
save image to local
Args:
picid: image id
pic_content: image content
extension_file_name: image filename with extension
Returns:
"""
pathlib.Path(self.image_store_path).mkdir(parents=True, exist_ok=True)
save_file_name = self.make_save_file_name(picid, extension_file_name)
async with aiofiles.open(save_file_name, 'wb') as f:
await f.write(pic_content)
utils.logger.info(f"[WeiboImageStoreImplement.save_image] save image {save_file_name} success ...")
@@ -0,0 +1,160 @@
# 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 : relakkes@gmail.com
# @Time : 2024/4/6 15:30
# @Desc : sql接口集合
from typing import Dict, List, Union
from async_db import AsyncMysqlDB
from async_sqlite_db import AsyncSqliteDB
from var import media_crawler_db_var
async def query_content_by_content_id(content_id: str) -> Dict:
"""
查询一条内容记录(xhs的帖子 | 抖音的视频 | 微博 | 快手视频 ...)
Args:
content_id:
Returns:
"""
async_db_conn: Union[AsyncMysqlDB, AsyncSqliteDB] = media_crawler_db_var.get()
sql: str = f"select * from weibo_note where note_id = '{content_id}'"
rows: List[Dict] = await async_db_conn.query(sql)
if len(rows) > 0:
return rows[0]
return dict()
async def add_new_content(content_item: Dict) -> int:
"""
新增一条内容记录(xhs的帖子 | 抖音的视频 | 微博 | 快手视频 ...)
Args:
content_item:
Returns:
"""
async_db_conn: Union[AsyncMysqlDB, AsyncSqliteDB] = media_crawler_db_var.get()
last_row_id: int = await async_db_conn.item_to_table("weibo_note", content_item)
return last_row_id
async def update_content_by_content_id(content_id: str, content_item: Dict) -> int:
"""
更新一条记录(xhs的帖子 | 抖音的视频 | 微博 | 快手视频 ...)
Args:
content_id:
content_item:
Returns:
"""
async_db_conn: Union[AsyncMysqlDB, AsyncSqliteDB] = media_crawler_db_var.get()
effect_row: int = await async_db_conn.update_table("weibo_note", content_item, "note_id", content_id)
return effect_row
async def query_comment_by_comment_id(comment_id: str) -> Dict:
"""
查询一条评论内容
Args:
comment_id:
Returns:
"""
async_db_conn: Union[AsyncMysqlDB, AsyncSqliteDB] = media_crawler_db_var.get()
sql: str = f"select * from weibo_note_comment where comment_id = '{comment_id}'"
rows: List[Dict] = await async_db_conn.query(sql)
if len(rows) > 0:
return rows[0]
return dict()
async def add_new_comment(comment_item: Dict) -> int:
"""
新增一条评论记录
Args:
comment_item:
Returns:
"""
async_db_conn: Union[AsyncMysqlDB, AsyncSqliteDB] = media_crawler_db_var.get()
last_row_id: int = await async_db_conn.item_to_table("weibo_note_comment", comment_item)
return last_row_id
async def update_comment_by_comment_id(comment_id: str, comment_item: Dict) -> int:
"""
更新增一条评论记录
Args:
comment_id:
comment_item:
Returns:
"""
async_db_conn: Union[AsyncMysqlDB, AsyncSqliteDB] = media_crawler_db_var.get()
effect_row: int = await async_db_conn.update_table("weibo_note_comment", comment_item, "comment_id", comment_id)
return effect_row
async def query_creator_by_user_id(user_id: str) -> Dict:
"""
查询一条创作者记录
Args:
user_id:
Returns:
"""
async_db_conn: Union[AsyncMysqlDB, AsyncSqliteDB] = media_crawler_db_var.get()
sql: str = f"select * from weibo_creator where user_id = '{user_id}'"
rows: List[Dict] = await async_db_conn.query(sql)
if len(rows) > 0:
return rows[0]
return dict()
async def add_new_creator(creator_item: Dict) -> int:
"""
新增一条创作者信息
Args:
creator_item:
Returns:
"""
async_db_conn: Union[AsyncMysqlDB, AsyncSqliteDB] = media_crawler_db_var.get()
last_row_id: int = await async_db_conn.item_to_table("weibo_creator", creator_item)
return last_row_id
async def update_creator_by_user_id(user_id: str, creator_item: Dict) -> int:
"""
更新一条创作者信息
Args:
user_id:
creator_item:
Returns:
"""
async_db_conn: Union[AsyncMysqlDB, AsyncSqliteDB] = media_crawler_db_var.get()
effect_row: int = await async_db_conn.update_table("weibo_creator", creator_item, "user_id", user_id)
return effect_row