51 lines
1.9 KiB
Python
51 lines
1.9 KiB
Python
from pymongo import UpdateOne
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from pydantic import Field
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import pandas as pd
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from .task import Task
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from utils import *
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from db import GBaseModel
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class SummaryFunc(Task):
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"""
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功能分析
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"""
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class Model(GBaseModel):
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prize: list = Field(None, title='奖励')
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need: list = Field(None, title='消耗')
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ftype: str = Field(..., title='功能')
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data: dict = Field(None, title='功能数据')
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cdate: int = Field(..., title='当天0点')
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def cleaning(self, cursor_list):
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for cursor in cursor_list: # type:dict
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for event_coll, ts in cursor.items(): # type:str,dict
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if ts['cursor_st'] == ts['cursor_et']:
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continue
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logger.info(f'开始处理{self.game_name} 处理 {event_coll} 游标 {ts}')
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where = {
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'_event_name': 'Func',
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'_event_time': {
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'$gte': ts['cursor_st'],
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'$lt': ts['cursor_et'],
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}
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}
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projection = self.Model.get_fields()
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bulk_data = []
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for item in self.local_db[event_coll].find(where, projection):
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try:
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item['cdate'] = int(pd.Timestamp(item['_event_time'], unit='s', tz=self.timezone) \
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.normalize().timestamp())
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model = self.Model(**item)
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data = model.dict(by_alias=True)
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bulk_data.append(UpdateOne({'_id': data['_id']}, {'$set': data}, upsert=True))
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except Exception as e:
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logger.error(f'ftype {item["ftype"]} msg:{e}')
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# pass
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if bulk_data:
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self.remote_db[self.dest_coll].bulk_write(bulk_data, ordered=False)
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self.set_cursor(cursor_st=ts['cursor_st'], cursor_et=ts['cursor_et'])
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