649 lines
26 KiB
Python
649 lines
26 KiB
Python
import re
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from typing import Tuple
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import arrow
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import sqlalchemy as sa
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import json
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from fastapi import Depends
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import pandas as pd
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from sqlalchemy import func, or_, and_, not_
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import crud
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import schemas
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from core.config import settings
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from db import get_database
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from db.redisdb import get_redis_pool, RedisDrive
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class CustomEvent:
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def __init__(self, tbl, string, format):
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self.tbl = tbl
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self.string = string
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self.pattern = re.compile('[+\-*/]')
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self.format = format
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self.events_name = []
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def _parse(self, s):
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m = s.split('.')
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if len(m) == 3:
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event_name, attr, comp = m
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self.events_name.append(event_name)
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return getattr(func, comp)(getattr(func, 'if')(getattr(self.tbl.c, '#event_name') == event_name,
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getattr(self.tbl.c, attr), 0))
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elif len(m) == 2:
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event_name, comp = m
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self.events_name.append(event_name)
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# 总次数
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if comp == 'total_count':
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return func.sum(getattr(func, 'if')(getattr(self.tbl.c, '#event_name') == event_name, 1, 0))
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elif comp == 'touch_user_count':
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return func.uniqCombined(getattr(func, 'if')(getattr(self.tbl.c, '#event_name') == event_name,
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getattr(self.tbl.c, '#account_id'), None))
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elif comp == 'touch_user_avg':
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return func.divide(
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func.sum(getattr(func, 'if')(getattr(self.tbl.c, '#event_name') == event_name, 1, 0)),
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func.uniqCombined(getattr(func, 'if')(getattr(self.tbl.c, '#event_name') == event_name,
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getattr(self.tbl.c, '#account_id'), None)))
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elif len(m) == 1:
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n = int(m[0])
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return n
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def str2obj(self, factors, opts):
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sel = None
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for i, factor in enumerate(factors):
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if i == 0:
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sel = self._parse(factor)
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else:
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tmp = self._parse(factor)
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sel = settings.ARITHMETIC[opts[i - 1]](sel, tmp)
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return sel
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def parse(self):
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factors = self.pattern.split(self.string)
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opts = self.pattern.findall(self.string)
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sel = self.str2obj(factors, opts)
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decimal = 2
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if self.format == 'percent':
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sel = sel * 100
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elif format == 'integer':
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decimal = 0
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elif format == 'float':
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decimal = 2
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sel = func.round(sel, decimal).label('values')
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res = {
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'event_name': self.events_name,
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'select': sel
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}
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return res
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class BehaviorAnalysis:
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def __init__(self, game: str, data_in: schemas.CkQuery, rdb: RedisDrive = Depends(get_redis_pool)):
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self.game = game
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self.rdb = rdb
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self.user_tbl = None
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self.event_tbl = None
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self.data_in = data_in
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self.event_view = dict()
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self.events = [dict()]
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self.zone_time: int = 0
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self.start_date = None
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self.end_date = None
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self.global_filters = None
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self.groupby = None
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self.time_particle = None
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self.date_range = None
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self.unit_num = None
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async def init(self):
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if self.data_in.report_id:
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db = get_database()
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report = await crud.report.get(db, id=self.data_in.report_id)
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self.event_view = report['query']['eventView']
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self.events = report['query']['events']
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try:
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e_days = self.event_view['e_days']
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s_days = self.event_view['s_days']
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except:
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# 兼容以前的
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e_days, s_days = self.event_view['recentDay'].split('-')
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self.event_view['endTime'] = arrow.get().shift(days=-int(e_days)).strftime('%Y-%m-%d 23:59:59')
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self.event_view['startTime'] = arrow.get().shift(days=-int(s_days)).strftime('%Y-%m-%d 00:00:00')
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else:
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self.event_view = self.data_in.eventView
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self.events = self.data_in.events
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await self._init_table()
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self.zone_time = self._get_zone_time()
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self.time_particle = self._get_time_particle_size()
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self.start_date, self.end_date, self.date_range = self._get_date_range()
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self.global_filters = self._get_global_filters()
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self.groupby = self._get_group_by()
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self.unit_num = self._get_unit_num()
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def _get_time_particle_size(self):
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return self.event_view.get('timeParticleSize') or 'P1D'
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def _get_unit_num(self):
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return self.event_view.get('unitNum')
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def _get_group_by(self):
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return [getattr(self.event_tbl.c, item['columnName']) for item in self.event_view.get('groupBy', [])]
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def _get_zone_time(self):
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return int(self.event_view.get('zone_time', 8))
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def _get_date_range(self) -> Tuple[str, str, list]:
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start_date: str = self.event_view.get('startTime')
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end_date: str = self.event_view.get('endTime')
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date_range = pd.date_range(start_date, end_date, freq=settings.PROPHET_TIME_GRAIN_MAP[self.time_particle],
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tz='UTC').tolist()
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if self.time_particle in ('P1D', 'P1W', 'P1M'):
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date_range = [item.date() for item in date_range]
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# start_date = date_range[0].strftime('%Y-%m-%d')
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# end_date = date_range[-1].strftime('%Y-%m-%d')
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return start_date, end_date, date_range
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def _get_global_filters(self):
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return self.event_view.get('filts') or []
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async def _init_table(self):
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"""
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从redis中取出表字段，构建表结构
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:return:
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"""
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res_json = await self.rdb.get(f'{self.game}_user')
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columns = json.loads(res_json).keys()
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metadata = sa.MetaData(schema=self.game)
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self.user_tbl = sa.Table('user_view', metadata, *[sa.Column(column) for column in columns])
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res_json = await self.rdb.get(f'{self.game}_event')
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columns = json.loads(res_json).keys()
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metadata = sa.MetaData(schema=self.game)
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# self.event_tbl = sa.Table('event_view', metadata, *[sa.Column(column) for column in columns])
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self.event_tbl = sa.Table('event', metadata, *[sa.Column(column) for column in columns])
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def handler_filts(self, *ext_filters, g_f=True):
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user_filter = []
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event_filter = []
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# filters = (*self.global_filters, *ext_filters) if g_f else (*ext_filters,)
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filters = []
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filters.extend(ext_filters)
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if g_f:
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filters.extend(self.global_filters)
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# filters = [] if filters == ([],) else filters
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for item in filters:
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if item['tableType'] == 'user':
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where = user_filter
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elif item['tableType'] == 'event':
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where = event_filter
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else:
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continue
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tbl = getattr(self, f'{item["tableType"]}_tbl')
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col = getattr(tbl.c, item['columnName'])
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comparator = item['comparator']
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ftv = item['ftv']
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if comparator == '==':
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if len(ftv) > 1:
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where.append(or_(*[col == v for v in ftv]))
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else:
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where.append(col == ftv[0])
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elif comparator == '>=':
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where.append(col >= ftv[0])
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elif comparator == '<=':
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where.append(col <= ftv[0])
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elif comparator == '>':
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where.append(col > ftv[0])
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elif comparator == '<':
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where.append(col < ftv[0])
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elif comparator == 'is not null':
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where.append(col.isnot(None))
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elif comparator == 'is null':
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where.append(col.is_(None))
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elif comparator == '!=':
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where.append(col != ftv[0])
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return event_filter, user_filter
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def retention_model_sql(self):
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event_name_a = self.events[0]['eventName']
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event_name_b = self.events[1]['eventName']
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visit_name = self.events[0].get('event_attr_id')
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event_time_col = getattr(self.event_tbl.c, '#event_time')
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event_name_col = getattr(self.event_tbl.c, '#event_name')
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e_account_id_col = getattr(self.event_tbl.c, '#account_id')
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u_account_id_col = getattr(self.user_tbl.c, '#account_id')
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date_col = sa.Column('date')
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who_visit = e_account_id_col
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if visit_name:
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who_visit = getattr(self.event_tbl.c, visit_name)
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filters, _ = self.handler_filts(*self.events[0].get('filts'), g_f=False)
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filters = filters or [1]
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selectd = [func.toStartOfDay(func.addHours(event_time_col, self.zone_time)).label('date'),
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*self.groupby,
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func.arrayDistinct(
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(func.groupArray(
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func.if_(func.and_(event_name_col == event_name_a, *filters), who_visit, None)))).label(
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'val_a'),
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func.length(sa.Column('val_a')).label('amount_a'),
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func.length(sa.Column('val_b')).label('amount_b'),
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]
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if event_name_b == '*':
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val_b = func.arrayDistinct(
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(func.groupArray(func.if_(1, who_visit, None)))).label('val_b'),
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selectd.insert(-2, *val_b)
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else:
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val_b = func.arrayDistinct(
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(func.groupArray(func.if_(event_name_col == event_name_b, who_visit, None)))).label('val_b'),
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selectd.insert(-2, *val_b)
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base_where = [
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func.addHours(event_time_col, self.zone_time) >= self.start_date,
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func.addHours(event_time_col, self.zone_time) <= self.end_date,
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]
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event_filter, user_filter = self.handler_filts()
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groupby = [date_col] + self.groupby
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oredrby = [date_col]
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if user_filter:
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qry = sa.select(selectd).select_from(
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self.event_tbl.join(self.user_tbl, u_account_id_col == e_account_id_col)).where(
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and_(*user_filter, *event_filter, *base_where)).group_by(*groupby).order_by(
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*oredrby).limit(10000)
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else:
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qry = sa.select(selectd).where(and_(*base_where, *event_filter)).group_by(*groupby).order_by(
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*oredrby).limit(10000)
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sql = str(qry.compile(compile_kwargs={"literal_binds": True}))
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print(sql)
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return {'sql': sql,
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'groupby': ['date'] + [i.key for i in self.groupby],
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'date_range': self.date_range,
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'event_name': [event_name_a, event_name_b],
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'unit_num': self.unit_num
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}
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def event_model_sql(self):
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sqls = []
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event_time_col = getattr(self.event_tbl.c, '#event_time')
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for event in self.events:
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event_name_display = event.get('eventNameDisplay')
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select_exprs = []
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if self.time_particle != 'total':
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select_exprs.append(
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settings.TIME_GRAIN_EXPRESSIONS[self.time_particle](event_time_col, self.zone_time))
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base_where = [
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func.addHours(event_time_col, self.zone_time) >= self.start_date,
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func.addHours(event_time_col, self.zone_time) <= self.end_date,
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]
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event_name_col = getattr(self.event_tbl.c, '#event_name')
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format = event.get('format') or 'float'
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if event.get('customEvent'):
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formula = event.get('customEvent')
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custom = CustomEvent(self.event_tbl, formula, format).parse()
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event_name = custom['event_name']
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where = [event_name_col.in_(event_name)]
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event_filter, _ = self.handler_filts(*event['filts'])
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select_exprs.extend(self.groupby)
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qry = sa.select(
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*select_exprs,
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custom['select']
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).where(*base_where, *where, *event_filter)
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else:
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event_name = event['event_name']
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select_exprs += self.groupby
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if event_name != '*':
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base_where.append(event_name_col == event_name)
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analysis = event['analysis']
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event_filter, user_filter = self.handler_filts(*event['filts'])
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u_account_id_col = getattr(self.user_tbl.c, '#account_id')
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# 按账号聚合
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e_account_id_col = getattr(self.event_tbl.c, '#account_id')
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# 聚合方式
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if analysis == 'total_count':
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selectd = select_exprs + [func.count().label('values')]
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elif analysis == 'touch_user_count':
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selectd = select_exprs + [func.count(sa.distinct(e_account_id_col)).label('values')]
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elif analysis == 'touch_user_avg':
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selectd = select_exprs + [
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func.round((func.count() / func.count(sa.distinct(e_account_id_col))), 2).label(
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'values')]
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else:
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selectd = select_exprs + [
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func.round(getattr(func, analysis)(getattr(self.event_tbl.c, event['event_attr_id'])), 2).label(
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'values')]
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if user_filter:
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qry = sa.select(selectd).select_from(
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self.event_tbl.join(self.user_tbl, u_account_id_col == e_account_id_col)).where(
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and_(*user_filter, *event_filter, *base_where))
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else:
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qry = sa.select(selectd).where(and_(*event_filter, *base_where))
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qry = qry.group_by(*select_exprs)
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if self.time_particle != 'total':
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qry = qry.order_by(sa.Column('date'))
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else:
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qry = qry.order_by(sa.Column('values').desc())
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qry = qry.limit(1000)
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sql = str(qry.compile(compile_kwargs={"literal_binds": True}))
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print(sql)
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sqls.append({'sql': sql,
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'groupby': [i.key for i in self.groupby],
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'date_range': self.date_range,
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'event_name': event_name_display or event_name,
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'format': format,
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'time_particle': self.time_particle
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})
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return sqls
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def funnel_model_sql(self):
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"""
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SELECT level, count(*) AS values
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FROM (SELECT windowFunnel(86400)(shjy.event."#event_time", shjy.event."#event_name" = 'create_role',
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shjy.event."#event_name" = 'login') AS level
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FROM shjy.event
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WHERE addHours(shjy.event."#event_time", 8) >= '2021-05-16 00:00:00'
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AND addHours(shjy.event."#event_time", 8) <= '2021-06-14 23:59:59'
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GROUP BY shjy.event."#account_id") AS anon_1
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GROUP BY level
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ORDER BY level
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:return:
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"""
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windows_gap = self.event_view['windows_gap'] * 86400
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event_time_col = getattr(self.event_tbl.c, '#event_time')
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event_name_col = getattr(self.event_tbl.c, '#event_name')
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date_col = func.toStartOfDay(func.addHours(event_time_col, self.zone_time)).label('date')
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e_account_id_col = getattr(self.event_tbl.c, '#account_id')
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sub_group = [date_col, *self.groupby, e_account_id_col]
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conds = []
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cond_level = []
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for item in self.events:
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event_filter, _ = self.handler_filts(*item['filts'], g_f=False)
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conds.append(
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and_(event_name_col == item['eventName'], *event_filter)
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)
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cond_level.append(item['eventName'])
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# todo 替换 _windows_gap_
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subq = sa.select(*[sa.Column(i.key) for i in self.groupby], date_col,
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func.windowFunnel_windows_gap__(event_time_col, *conds).label('level')).select_from(
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self.event_tbl)
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g_event_filter, _ = self.handler_filts()
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where = [
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func.addHours(event_time_col, self.zone_time) >= self.start_date,
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func.addHours(event_time_col, self.zone_time) <= self.end_date,
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*g_event_filter
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]
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subq = subq.where(and_(*where)).group_by(*sub_group)
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subq = subq.subquery()
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qry = sa.select(sa.Column('date'), *[sa.Column(i.key) for i in self.groupby], sa.Column('level'),
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func.count().label('values')).select_from(subq) \
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.where(sa.Column('level') > 0) \
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.group_by(sa.Column('date'), *[sa.Column(i.key) for i in self.groupby], sa.Column('level')) \
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.order_by(sa.Column('date'), *[sa.Column(i.key) for i in self.groupby], sa.Column('level'))
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sql = str(qry.compile(compile_kwargs={"literal_binds": True}))
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# sql = sql.replace('_windows_gap_', f"({windows_gap},'strict_increase')")
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sql = sql.replace('_windows_gap_', f"({windows_gap})")
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print(sql)
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return {'sql': sql,
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'groupby': [i.key for i in self.groupby],
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'date_range': self.date_range,
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'cond_level': cond_level
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}
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def scatter_model_sql(self):
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event = self.events[0]
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event_name = event['eventName']
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analysis = event['analysis']
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e_account_id_col = getattr(self.event_tbl.c, '#account_id')
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event_name_col = getattr(self.event_tbl.c, '#event_name')
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event_time_col = getattr(self.event_tbl.c, '#event_time').label('date')
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event_date_col = settings.TIME_GRAIN_EXPRESSIONS[self.time_particle](event_time_col, self.zone_time)
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quota_interval_arr = event.get('quotaIntervalArr')
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where = [
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event_date_col >= self.start_date,
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event_date_col <= self.end_date,
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event_name_col == event_name
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]
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event_filter, _ = self.handler_filts(*self.events[0]['filts'])
|
||
where.extend(event_filter)
|
||
values_col = func.count().label('values')
|
||
if analysis in ['number_of_days', 'number_of_hours']:
|
||
values_col = func.count(func.distinct(e_account_id_col)).label('values')
|
||
|
||
if analysis in ['times', 'number_of_days', 'number_of_hours']:
|
||
|
||
qry = sa.select(event_date_col, *self.groupby, values_col) \
|
||
.where(and_(*where)) \
|
||
.group_by(event_date_col, *self.groupby)
|
||
|
||
sql = str(qry.compile(compile_kwargs={"literal_binds": True}))
|
||
print(sql)
|
||
return {
|
||
'sql': sql,
|
||
'interval_type': event['intervalType'],
|
||
'analysis': analysis,
|
||
'quota_interval_arr': quota_interval_arr,
|
||
'groupby': [i.key for i in self.groupby]
|
||
}
|
||
elif event.get('quota'):
|
||
event_attr_col = getattr(self.event_tbl.c, event['quota'])
|
||
|
||
qry = sa.select(event_date_col, settings.CK_FUNC[analysis](event_attr_col).label('values')) \
|
||
.where(and_(*where)) \
|
||
.group_by(event_date_col, *self.groupby, e_account_id_col)
|
||
sql = str(qry.compile(compile_kwargs={"literal_binds": True}))
|
||
print(sql)
|
||
return {
|
||
'sql': sql,
|
||
'interval_type': event['intervalType'],
|
||
'analysis': analysis,
|
||
'quota_interval_arr': quota_interval_arr,
|
||
'groupby': [i.key for i in self.groupby]
|
||
}
|
||
|
||
def trace_model_sql(self):
|
||
session_interval = self.event_view.get('session_interval')
|
||
session_type = self.event_view.get('session_type')
|
||
session_type_map = {
|
||
'minute': 60,
|
||
'second': 1,
|
||
'hour': 3600
|
||
|
||
}
|
||
interval_ts = session_interval * session_type_map.get(session_type, 60)
|
||
event_names = self.events.get('event_names')
|
||
source_event = self.events.get('source_event', {}).get('eventName')
|
||
source_type = self.events.get('source_event', {}).get('source_type')
|
||
|
||
sql_a = f"""with
|
||
'{source_event}' as start_event,
|
||
{tuple(event_names)} as evnet_all,
|
||
'{self.start_date}' as start_data,
|
||
'{self.end_date}' as end_data
|
||
select event_chain,
|
||
count() as values
|
||
from (with
|
||
toUInt32(minIf(`#event_time`, `#event_name` = start_event)) AS start_event_ts,
|
||
arraySort(
|
||
x ->
|
||
x.1,
|
||
arrayFilter(
|
||
x -> x.1 >= start_event_ts,
|
||
groupArray((toUInt32(`#event_time`), `#event_name`))
|
||
)
|
||
) AS sorted_events,
|
||
arrayEnumerate(sorted_events) AS event_idxs,
|
||
arrayFilter(
|
||
(x, y, z) -> z.1 >= start_event_ts and ((z.2 = start_event and y > {interval_ts}) or y > {interval_ts}) ,
|
||
event_idxs,
|
||
arrayDifference(sorted_events.1),
|
||
sorted_events
|
||
) AS gap_idxs,
|
||
arrayMap(x -> x, gap_idxs) AS gap_idxs_,
|
||
arrayMap(x -> if(has(gap_idxs_, x), 1, 0), event_idxs) AS gap_masks,
|
||
arraySplit((x, y) -> y, sorted_events, gap_masks) AS split_events
|
||
select `#account_id`,
|
||
arrayJoin(split_events) AS event_chain_,
|
||
arrayMap(x ->
|
||
x.2, event_chain_) AS event_chain,
|
||
has(event_chain, start_event) AS has_midway_hit
|
||
|
||
from (select `#event_time`, `#event_name`, `#account_id`
|
||
from {self.game}.event
|
||
where addHours(`#event_time`, {self.zone_time}) >= start_data
|
||
and addHours(`#event_time`, {self.zone_time}) <= end_data
|
||
and `#event_name` in evnet_all)
|
||
group by `#account_id`
|
||
HAVING has_midway_hit = 1
|
||
)
|
||
where arrayElement(event_chain, 1) = start_event
|
||
GROUP BY event_chain
|
||
ORDER BY values desc
|
||
"""
|
||
sql_b = f"""with
|
||
'{source_event}' as end_event,
|
||
{tuple(event_names)} as evnet_all,
|
||
'{self.start_date}' as start_data,
|
||
'{self.end_date}' as end_data
|
||
select event_chain,
|
||
count() as values
|
||
from (with
|
||
toUInt32(maxIf(`#event_time`, `#event_name` = end_event)) AS end_event_ts,
|
||
arraySort(
|
||
x ->
|
||
x.1,
|
||
arrayFilter(
|
||
x -> x.1 <= end_event_ts,
|
||
groupArray((toUInt32(`#event_time`), `#event_name`))
|
||
)
|
||
) AS sorted_events,
|
||
arrayEnumerate(sorted_events) AS event_idxs,
|
||
arrayFilter(
|
||
(x, y, z) -> z.1 <= end_event_ts and (z.2 = end_event and y>{interval_ts}) OR y > {interval_ts},
|
||
event_idxs,
|
||
arrayDifference(sorted_events.1),
|
||
sorted_events
|
||
) AS gap_idxs,
|
||
arrayMap(x -> x+1, gap_idxs) AS gap_idxs_,
|
||
arrayMap(x -> if(has(gap_idxs_, x), 1,0), event_idxs) AS gap_masks,
|
||
arraySplit((x, y) -> y, sorted_events, gap_masks) AS split_events
|
||
select `#account_id`,
|
||
arrayJoin(split_events) AS event_chain_,
|
||
arrayMap(x ->
|
||
x.2, event_chain_) AS event_chain,
|
||
has(event_chain, end_event) AS has_midway_hit
|
||
from (select `#event_time`, `#event_name`, `#account_id`
|
||
from {self.game}.event
|
||
where addHours(`#event_time`, {self.zone_time}) >= start_data
|
||
and addHours(`#event_time`, {self.zone_time}) <= end_data
|
||
and `#event_name` in evnet_all)
|
||
group by `#account_id`
|
||
HAVING has_midway_hit = 1
|
||
)
|
||
where arrayElement(event_chain, -1) = end_event
|
||
GROUP BY event_chain
|
||
ORDER BY values desc"""
|
||
|
||
sql = sql_a if source_type == 'initial_event' else sql_b
|
||
print(sql)
|
||
return {
|
||
'sql': sql,
|
||
}
|
||
|
||
def retention_model_sql2(self):
|
||
event_name_a = self.events[0]['eventName']
|
||
event_name_b = self.events[1]['eventName']
|
||
|
||
visit_name = self.events[0].get('event_attr_id')
|
||
|
||
where, _ = self.handler_filts(*self.events[0].get('filts', []))
|
||
where_a = '1'
|
||
if where:
|
||
qry = sa.select().where(*where)
|
||
sql = str(qry.compile(compile_kwargs={"literal_binds": True}))
|
||
where_a = sql.split('WHERE ')[1]
|
||
|
||
where, _ = self.handler_filts(*self.events[1].get('filts', []))
|
||
where_b = '1'
|
||
if where:
|
||
qry = sa.select().where(*where)
|
||
sql = str(qry.compile(compile_kwargs={"literal_binds": True}))
|
||
where_b = sql.split('WHERE ')[1]
|
||
|
||
# 任意事件
|
||
event_name_b = 1 if event_name_b == '*' else f"`#event_name` = '{event_name_b}'"
|
||
|
||
days = (arrow.get(self.end_date).date() - arrow.get(self.start_date).date()).days
|
||
keep = []
|
||
cnt = []
|
||
for i in range(days+1):
|
||
keep.append(
|
||
f"""cnt{i + 1},round(cnt{i + 1} * 100 / cnt0, 2) as `p{i + 1}`""")
|
||
cnt.append(f"""sum(if(dateDiff('day',a.reg_date,b.visit_date)={i},1,0)) as cnt{i + 1}""")
|
||
keep_str = ','.join(keep)
|
||
cnt_str = ','.join(cnt)
|
||
|
||
sql = f"""
|
||
with '{event_name_a}' as start_event,
|
||
{event_name_b} as retuen_visit,
|
||
`{visit_name}` as visit,
|
||
'{self.start_date}' as start_data,
|
||
'{self.end_date}' as end_data,
|
||
toDate(addHours(`#event_time`, {self.zone_time})) as date
|
||
|
||
select reg_date,
|
||
cnt0 ,
|
||
{keep_str}
|
||
|
||
from(select date, uniqExact(visit) as cnt0 from {self.game}.event
|
||
where `#event_name` = start_event and addHours(`#event_time`, {self.zone_time}) >= start_data and addHours(`#event_time`, {self.zone_time}) <= end_data and {where_a}
|
||
group by date) reg left join
|
||
(select a.reg_date,
|
||
{cnt_str}
|
||
from (select date as reg_date, visit from {self.game}.event where `#event_name` = start_event and addHours(`#event_time`, {self.zone_time}) >= start_data and addHours(`#event_time`, {self.zone_time}) <= end_data and {where_a} group by reg_date, visit) a
|
||
left join (select date as visit_date, visit from {self.game}.event where retuen_visit and addHours(`#event_time`, {self.zone_time}) >= start_data and addHours(`#event_time`, {self.zone_time}) <= end_data and {where_b} group by visit_date, visit) b on
|
||
a.visit = b.visit
|
||
group by a.reg_date) log on reg.date=log.reg_date
|
||
"""
|
||
print(sql)
|
||
return {
|
||
'sql': sql,
|
||
'date_range':self.date_range,
|
||
'unit_num': self.unit_num
|
||
}
|