151 lines
7.1 KiB
Python
151 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 XhsBaseModel(Model):
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id = fields.IntField(pk=True, autoincrement=True, description="自增ID")
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user_id = fields.CharField(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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ip_location = fields.CharField(null=True, max_length=255, description="评论时的IP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 XHSNote(XhsBaseModel):
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note_id = fields.CharField(max_length=64, index=True, description="笔记ID")
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type = fields.CharField(null=True, max_length=16, description="笔记类型(normal | video)")
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title = fields.CharField(null=True, max_length=255, description="笔记标题")
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desc = fields.TextField(null=True, description="笔记描述")
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time = fields.BigIntField(description="笔记发布时间戳", index=True)
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last_update_time = fields.BigIntField(description="笔记最后更新时间戳")
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liked_count = fields.CharField(null=True, max_length=16, description="笔记点赞数")
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collected_count = fields.CharField(null=True, max_length=16, description="笔记收藏数")
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comment_count = fields.CharField(null=True, max_length=16, description="笔记评论数")
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share_count = fields.CharField(null=True, max_length=16, description="笔记分享数")
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image_list = fields.TextField(null=True, description="笔记封面图片列表")
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note_url = fields.CharField(null=True, max_length=255, description="笔记详情页的URL")
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class Meta:
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table = "xhs_note"
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table_description = "小红书笔记"
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def __str__(self):
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return f"{self.note_id} - {self.title}"
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class XHSNoteComment(XhsBaseModel):
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comment_id = fields.CharField(max_length=64, index=True, description="评论ID")
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create_time = fields.BigIntField(index=True, description="评论时间戳")
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note_id = fields.CharField(max_length=64, description="笔记ID")
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content = fields.TextField(description="评论内容")
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sub_comment_count = fields.IntField(description="子评论数量")
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class Meta:
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table = "xhs_note_comment"
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table_description = "小红书笔记评论"
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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_xhs_note(note_item: Dict):
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note_id = note_item.get("note_id")
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user_info = note_item.get("user", {})
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interact_info = note_item.get("interact_info", {})
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image_list: List[Dict] = note_item.get("image_list", [])
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local_db_item = {
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"note_id": note_item.get("note_id"),
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"type": note_item.get("type"),
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"title": note_item.get("title") or note_item.get("desc", "")[:255],
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"desc": note_item.get("desc", ""),
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"time": note_item.get("time"),
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"last_update_time": note_item.get("last_update_time", 0),
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"user_id": user_info.get("user_id"),
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"nickname": user_info.get("nickname"),
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"avatar": user_info.get("avatar"),
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"liked_count": interact_info.get("liked_count"),
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"collected_count": interact_info.get("collected_count"),
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"comment_count": interact_info.get("comment_count"),
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"share_count": interact_info.get("share_count"),
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"ip_location": note_item.get("ip_location", ""),
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"image_list": ','.join([img.get('url', '') for img in image_list]),
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"last_modify_ts": utils.get_current_timestamp(),
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"note_url": f"https://www.xiaohongshu.com/explore/{note_id}"
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}
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print("xhs note:", local_db_item)
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if config.IS_SAVED_DATABASED:
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if not await XHSNote.filter(note_id=note_id).first():
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local_db_item["add_ts"] = utils.get_current_timestamp()
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note_pydantic = pydantic_model_creator(XHSNote, name="XHSPydanticCreate", exclude=('id',))
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note_data = note_pydantic(**local_db_item)
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note_pydantic.validate(note_data)
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await XHSNote.create(**note_data.dict())
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else:
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note_pydantic = pydantic_model_creator(XHSNote, name="XHSPydanticUpdate", exclude=('id', 'add_ts'))
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note_data = note_pydantic(**local_db_item)
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note_pydantic.validate(note_data)
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await XHSNote.filter(note_id=note_id).update(**note_data.dict())
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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/xhs").mkdir(parents=True, exist_ok=True)
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save_file_name = f"data/xhs/{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 update_xhs_note_comment(note_id: str, comment_item: Dict):
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user_info = comment_item.get("user_info", {})
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comment_id = comment_item.get("id")
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local_db_item = {
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"comment_id": comment_id,
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"create_time": comment_item.get("create_time"),
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"ip_location": comment_item.get("ip_location"),
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"note_id": note_id,
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"content": comment_item.get("content"),
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"user_id": user_info.get("user_id"),
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"nickname": user_info.get("nickname"),
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"avatar": user_info.get("image"),
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"sub_comment_count": comment_item.get("sub_comment_count"),
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"last_modify_ts": utils.get_current_timestamp(),
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}
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print("xhs note comment:", local_db_item)
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if config.IS_SAVED_DATABASED:
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if not await XHSNoteComment.filter(comment_id=comment_id).first():
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local_db_item["add_ts"] = utils.get_current_timestamp()
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comment_pydantic = pydantic_model_creator(XHSNoteComment, name="CommentPydanticCreate", 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 XHSNoteComment.create(**comment_data.dict())
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else:
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comment_pydantic = pydantic_model_creator(XHSNoteComment, name="CommentPydanticUpdate",
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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 XHSNoteComment.filter(comment_id=comment_id).update(**comment_data.dict())
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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/xhs").mkdir(parents=True, exist_ok=True)
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save_file_name = f"data/xhs/{crawler_type_var.get()}_comment_{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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