149 lines
7.1 KiB
Python
149 lines
7.1 KiB
Python
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 KuaishouBaseModel(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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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 KuaishouVideo(KuaishouBaseModel):
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video_id = fields.CharField(max_length=64, index=True, description="视频ID")
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video_type = fields.CharField(max_length=16, description="视频类型")
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title = fields.CharField(null=True, max_length=500, description="视频标题")
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desc = fields.TextField(null=True, description="视频描述")
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create_time = fields.BigIntField(description="视频发布时间戳", index=True)
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liked_count = fields.CharField(null=True, max_length=16, description="视频点赞数")
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viewd_count = fields.CharField(null=True, max_length=16, description="视频浏览数量")
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video_url = fields.CharField(null=True, max_length=512, description="视频详情URL")
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video_cover_url = fields.CharField(null=True, max_length=512, description="视频封面图 URL")
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video_play_url = fields.CharField(null=True, max_length=512, description="视频播放 URL")
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class Meta:
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table = "kuaishou_video"
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table_description = "快手视频"
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def __str__(self):
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return f"{self.video_id} - {self.title}"
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class KuaishouVideoComment(KuaishouBaseModel):
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comment_id = fields.CharField(max_length=64, index=True, description="评论ID")
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video_id = fields.CharField(max_length=64, index=True, description="视频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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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 = "kuaishou_video_comment"
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table_description = "快手视频评论"
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def __str__(self):
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return f"{self.comment_id} - {self.content}"
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async def update_kuaishou_video(video_item: Dict):
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photo_info: Dict = video_item.get("photo", {})
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video_id = photo_info.get("id")
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user_info = video_item.get("author", {})
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local_db_item = {
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"video_id": video_id,
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"video_type": str(video_item.get("type")),
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"title": photo_info.get("caption", "")[:500],
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"desc": photo_info.get("caption", "")[:500],
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"create_time": photo_info.get("timestamp"),
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"user_id": user_info.get("id"),
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"nickname": user_info.get("name"),
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"avatar": user_info.get("headerUrl", ""),
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"liked_count": str(photo_info.get("realLikeCount")),
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"viewd_count": str(photo_info.get("viewCount")),
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"last_modify_ts": utils.get_current_timestamp(),
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"video_url": f"https://www.kuaishou.com/short-video/{video_id}",
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"video_cover_url": photo_info.get("coverUrl", ""),
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"video_play_url": photo_info.get("photoUrl", ""),
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}
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print(f"Kuaishou video id:{video_id}, title:{local_db_item.get('title')}")
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if config.IS_SAVED_DATABASED:
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if not await KuaishouVideo.filter(video_id=video_id).exists():
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local_db_item["add_ts"] = utils.get_current_timestamp()
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kuaishou_video_pydantic = pydantic_model_creator(KuaishouVideo, name='kuaishouVideoCreate', exclude=('id',))
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kuaishou_data = kuaishou_video_pydantic(**local_db_item)
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kuaishou_video_pydantic.model_validate(kuaishou_data)
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await KuaishouVideo.create(**kuaishou_data.model_dump())
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else:
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kuaishou_video_pydantic = pydantic_model_creator(KuaishouVideo, name='kuaishouVideoUpdate',
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exclude=('id', 'add_ts'))
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kuaishou_data = kuaishou_video_pydantic(**local_db_item)
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kuaishou_video_pydantic.model_validate(kuaishou_data)
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await KuaishouVideo.filter(video_id=video_id).update(**kuaishou_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/kuaishou").mkdir(parents=True, exist_ok=True)
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save_file_name = f"data/kuaishou/{crawler_type_var.get()}_videos_{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_ks_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_ks_video_comment(video_id, comment_item)
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async def update_ks_video_comment(video_id: str, comment_item: Dict):
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comment_id = comment_item.get("commentId")
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local_db_item = {
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"comment_id": comment_id,
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"create_time": comment_item.get("timestamp"),
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"video_id": video_id,
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"content": comment_item.get("content"),
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"user_id": comment_item.get("authorId"),
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"nickname": comment_item.get("authorName"),
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"avatar": comment_item.get("headurl"),
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"sub_comment_count": str(comment_item.get("subCommentCount", 0)),
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"last_modify_ts": utils.get_current_timestamp(),
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}
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print(f"Kuaishou video comment: {comment_id}, content: {local_db_item.get('content')}")
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if config.IS_SAVED_DATABASED:
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if not await KuaishouVideoComment.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(KuaishouVideoComment, name='KuaishouVideoCommentCreate',
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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 KuaishouVideoComment.create(**comment_data.dict())
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else:
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comment_pydantic = pydantic_model_creator(KuaishouVideoComment, name='KuaishouVideoCommentUpdate',
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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 KuaishouVideoComment.filter(comment_id=comment_id).update(**comment_data.dict())
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else:
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pathlib.Path(f"data/kuaishou").mkdir(parents=True, exist_ok=True)
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save_file_name = f"data/kuaishou/{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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