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