MediaCrawler/models/weibo.py

172 lines
8.1 KiB
Python

# -*- coding: utf-8 -*-
# @Author : relakkes@gmail.com
# @Time : 2023/12/23 21:53
# @Desc : 微博的模型类
import csv
import pathlib
from typing import Dict, List
from tortoise import fields
from tortoise.contrib.pydantic import pydantic_model_creator
from tortoise.models import Model
import config
from tools import utils
from var import crawler_type_var
class WeiboBaseModel(Model):
id = fields.IntField(pk=True, autoincrement=True, description="自增ID")
user_id = fields.CharField(null=True, max_length=64, description="用户ID")
nickname = fields.CharField(null=True, max_length=64, description="用户昵称")
avatar = fields.CharField(null=True, max_length=255, description="用户头像地址")
gender = fields.CharField(null=True, max_length=12, description="用户性别")
profile_url = fields.CharField(null=True, max_length=255, description="用户主页地址")
ip_location = fields.CharField(null=True, max_length=32, default="发布微博的地理信息")
add_ts = fields.BigIntField(description="记录添加时间戳")
last_modify_ts = fields.BigIntField(description="记录最后修改时间戳")
class Meta:
abstract = True
class WeiboNote(WeiboBaseModel):
note_id = fields.CharField(max_length=64, index=True, description="帖子ID")
content = fields.TextField(null=True, description="帖子正文内容")
create_time = fields.BigIntField(description="帖子发布时间戳", index=True)
create_date_time = fields.BigIntField(description="帖子发布日期时间", index=True)
liked_count = fields.CharField(null=True, max_length=16, description="帖子点赞数")
comments_count = fields.CharField(null=True, max_length=16, description="帖子评论数量")
shared_count = fields.CharField(null=True, max_length=16, description="帖子转发数量")
note_url = fields.CharField(null=True, max_length=512, description="帖子详情URL")
class Meta:
table = "weibo_video"
table_description = "微博帖子"
def __str__(self):
return f"{self.note_id}"
class WeiboComment(WeiboBaseModel):
comment_id = fields.CharField(max_length=64, index=True, description="评论ID")
note_id = fields.CharField(max_length=64, index=True, description="帖子ID")
content = fields.TextField(null=True, description="评论内容")
create_time = fields.BigIntField(description="评论时间戳")
create_date_time = fields.BigIntField(description="评论日期时间", index=True)
comment_like_count = fields.CharField(max_length=16, description="评论点赞数量")
sub_comment_count = fields.CharField(max_length=16, description="评论回复数")
class Meta:
table = "weibo_note_comment"
table_description = "微博帖子评论"
def __str__(self):
return f"{self.comment_id}"
async def update_weibo_note(note_item: Dict):
mblog: Dict = note_item.get("mblog")
user_info: Dict = mblog.get("user")
note_id = mblog.get("id")
local_db_item = {
# 微博信息
"note_id": note_id,
"content": mblog.get("text"),
"create_time": utils.rfc2822_to_timestamp(mblog.get("created_at")),
"create_date_time": utils.rfc2822_to_china_datetime(mblog.get("created_at")),
"liked_count": mblog.get("attitudes_count", 0),
"comments_count": mblog.get("comments_count", 0),
"shared_count": 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": 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"[models.weibo.update_weibo_video] weibo note id:{note_id}, title:{local_db_item.get('content')[:24]} ...")
if config.IS_SAVED_DATABASED:
if not await WeiboNote.filter(note_id=note_id).exists():
local_db_item["add_ts"] = utils.get_current_timestamp()
weibo_video_pydantic = pydantic_model_creator(WeiboNote, name='WeiboNoteCreate', exclude=('id',))
weibo_data = weibo_video_pydantic(**local_db_item)
weibo_video_pydantic.model_validate(weibo_data)
await WeiboNote.create(**weibo_data.model_dump())
else:
weibo_video_pydantic = pydantic_model_creator(WeiboNote, name='WeiboNoteUpdate',
exclude=('id', 'add_ts'))
weibo_data = weibo_video_pydantic(**local_db_item)
weibo_video_pydantic.model_validate(weibo_data)
await WeiboNote.filter(note_id=note_id).update(**weibo_data.model_dump())
else:
# Below is a simple way to save it in CSV format.
pathlib.Path(f"data/weibo").mkdir(parents=True, exist_ok=True)
save_file_name = f"data/weibo/{crawler_type_var.get()}_notes_{utils.get_current_date()}.csv"
with open(save_file_name, mode='a+', encoding="utf-8-sig", newline="") as f:
writer = csv.writer(f)
if f.tell() == 0:
writer.writerow(local_db_item.keys())
writer.writerow(local_db_item.values())
async def batch_update_weibo_video_comments(video_id: str, comments: List[Dict]):
if not comments:
return
for comment_item in comments:
await update_weibo_video_comment(video_id, comment_item)
async def update_weibo_video_comment(note_id: str, comment_item: Dict):
comment_id = str(comment_item.get("id"))
content: Dict = comment_item.get("text")
user_info: Dict = comment_item.get("member")
local_db_item = {
"comment_id": comment_id,
"create_time": utils.rfc2822_to_timestamp(comment_item.get("created_at")),
"create_date_time": utils.rfc2822_to_china_datetime(comment_item.get("created_at")),
"note_id": note_id,
"content": content.get("message"),
"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", ""),
# 用户信息
"user_id": 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"[models.weibo.update_weibo_video_comment] Weibo note comment: {comment_id}, content: {local_db_item.get('content','')[:24]} ...")
if config.IS_SAVED_DATABASED:
if not await WeiboComment.filter(comment_id=comment_id).exists():
local_db_item["add_ts"] = utils.get_current_timestamp()
comment_pydantic = pydantic_model_creator(WeiboComment, name='WeiboNoteCommentCreate',
exclude=('id',))
comment_data = comment_pydantic(**local_db_item)
comment_pydantic.validate(comment_data)
await WeiboComment.create(**comment_data.dict())
else:
comment_pydantic = pydantic_model_creator(WeiboComment, name='WeiboNoteCommentUpdate',
exclude=('id', 'add_ts'))
comment_data = comment_pydantic(**local_db_item)
comment_pydantic.validate(comment_data)
await WeiboComment.filter(comment_id=comment_id).update(**comment_data.dict())
else:
pathlib.Path(f"data/weibo").mkdir(parents=True, exist_ok=True)
save_file_name = f"data/weibo/{crawler_type_var.get()}_comments_{utils.get_current_date()}.csv"
with open(save_file_name, mode='a+', encoding="utf-8-sig", newline="") as f:
writer = csv.writer(f)
if f.tell() == 0:
writer.writerow(local_db_item.keys())
writer.writerow(local_db_item.values())