# -*- 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.CharField(description="帖子发布日期时间",max_length=32, 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_note" 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.CharField(description="评论日期时间", max_length=32, 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": 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", ""), } utils.logger.info( f"[models.weibo.update_weibo_note] 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_note_pydantic = pydantic_model_creator(WeiboNote, name='WeiboNoteCreate', exclude=('id',)) weibo_data = weibo_note_pydantic(**local_db_item) weibo_note_pydantic.model_validate(weibo_data) await WeiboNote.create(**weibo_data.model_dump()) else: weibo_note_pydantic = pydantic_model_creator(WeiboNote, name='WeiboNoteUpdate', exclude=('id', 'add_ts')) weibo_data = weibo_note_pydantic(**local_db_item) weibo_note_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_note_comments(note_id: str, comments: List[Dict]): 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): comment_id = str(comment_item.get("id")) user_info: Dict = comment_item.get("user") local_db_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": comment_item.get("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", ""), # 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"[models.weibo.update_weibo_note_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())