1

api/api_v1/endpoints/data_auth.py

@@ -100,11 +100,36 @@ async def my_event(request: Request,
     key_prefix = f'{game}_event_'
 
     event_dict = await rdb.smembers_keys(*my_data_auth['data'], prefix=key_prefix)
-    res = []
+    event = []
+
+    group_by = [{
+        'id': item,
+        'data_type': settings.CK_TYPE_DICT.get(all_filed.get(item)),
+        'title': data_attr.get(item, {}).get('show_name') or item,
+    } for item in all_filed]
     for k, v in event_dict.items():
-        event_attr = []
+        event_attr = [{
+            'id': 'total_count',
+            'data_type': None,
+            'title': '总次数',
+            'category': []
+        },
+            {
+                'id': 'touch_user_count',
+                'data_type': None,
+                'title': '触发用户数',
+                'category': []
+            },
+            {
+                'id': 'touch_user_avg',
+                'data_type': None,
+                'title': '人均次数',
+                'category': []
+            }
+
+        ]
         event_filter = []
-        for item in v:
+        for item in sorted(v):
             data_type = settings.CK_TYPE_DICT.get(all_filed.get(item))
             title = data_attr.get(item, {}).get('show_name') or item
             event_attr.append(
@@ -121,14 +146,19 @@ async def my_event(request: Request,
                 'title': title,
                 'category': settings.CK_FILTER.get(data_type) or []
             })
-        res.append({
+        event.append({
             'event_name': k,
             'event_attr': [{'id': 'event', 'title': '事件属性', 'category': event_attr}],
             'event_filter': [{'id': 'event', 'title': '事件属性', 'category': event_filter}],
         }
         )
 
-    return schemas.Msg(code=0, msg='ok', data=[{'id': 'event',
+    res = {
-                                                'title': '默认分组',
+        'analysis': [{'id': 'event',
-                                                'category': res
+                      'title': '默认分组',
-                                                }])
+                      'category': event
+                      }],
+        'group_by': group_by
+    }
+
+    return schemas.Msg(code=0, msg='ok', data=res)

api/api_v1/endpoints/query.py

@@ -1,9 +1,13 @@
+import json
+
 import pandas as pd
 from fastapi import APIRouter, Depends, Request
 import crud, schemas
 
 from api import deps
 from db.ckdb import get_ck_db, CKDrive
+from db.redisdb import get_redis_pool, RedisDrive
+from models import ToSql
 
 router = APIRouter()
 
@@ -20,27 +24,40 @@ async def query_sql(
     return schemas.Msg(code=0, msg='ok', data=data)
 
 
-@router.post("/query")
+@router.post("/event_model_sql")
-async def query(
+async def event_model_sql(
         request: Request,
+        game: str,
         data_in: schemas.CkQuery,
         ckdb: CKDrive = Depends(get_ck_db),
+        rdb: RedisDrive = Depends(get_redis_pool),
         current_user: schemas.UserDB = Depends(deps.get_current_user)
 ) -> schemas.Msg:
-    """ json解析 sql 查询"""
+    """ 事件分析模型 sql"""
-    # data, columns = await ckdb.execute(data_in.sql, with_column_types=True, columnar=True)
+
-    # df = pd.DataFrame({col[0]: d for d, col in zip(data, columns)})
+    columns_json = await rdb.get(f'{game}_event')
-    return schemas.Msg(code=0, msg='ok', data=data_in)
+    columns = json.loads(columns_json)
+    to_sql = ToSql(data_in.dict(), game, 'event', columns.keys())
+    res = to_sql.get_sql_query_event_model()
+    return schemas.Msg(code=0, msg='ok', data=res)
 
 
 @router.post("/event_model")
 async def event_model(
         request: Request,
+        game: str,
         data_in: schemas.CkQuery,
         ckdb: CKDrive = Depends(get_ck_db),
+        rdb: RedisDrive = Depends(get_redis_pool),
         current_user: schemas.UserDB = Depends(deps.get_current_user)
 ) -> schemas.Msg:
-    """ json解析 sql 查询"""
+    """ 事件分析"""
-    # data, columns = await ckdb.execute(data_in.sql, with_column_types=True, columnar=True)
+    columns_json = await rdb.get(f'{game}_event')
-    # df = pd.DataFrame({col[0]: d for d, col in zip(data, columns)})
+    columns = json.loads(columns_json)
-    return schemas.Msg(code=0, msg='ok', data=data_in)
+    to_sql = ToSql(data_in.dict(), game, 'event', columns.keys())
+    sqls = to_sql.get_sql_query_event_model()
+    res = []
+    for sql in sqls:
+        data = await ckdb.execute(sql)
+        res.append(data)
+    return schemas.Msg(code=0, msg='ok', data=res)

core/config.py

@@ -91,13 +91,13 @@ class Settings(BaseSettings):
             'id': 'min',
             'title': '最小值'
         }, {
-            'id': 'distinct',
+            'id': 'distinct_count',
             'title': '去重数'
         },
 
         ],
         'string': [{
-            'id': 'distinct',
+            'id': 'distinct_count',
             'title': '去重数'
         }],
         'float': [{
@@ -116,22 +116,22 @@ class Settings(BaseSettings):
             'id': 'min',
             'title': '最小值'
         }, {
-            'id': 'distinct',
+            'id': 'distinct_count',
             'title': '去重数'
         },
 
         ],
         'array': [
             {
-                'id': 'distinct1',
+                'id': 'list_distinct',
                 'title': '列表去重数'
             },
             {
-                'id': 'distinct2',
+                'id': 'set_distinct',
                 'title': '集合去重数'
             },
             {
-                'id': 'distinct3',
+                'id': 'ele_distinct',
                 'title': '元素去重数'
             },
         ]
@@ -139,7 +139,7 @@ class Settings(BaseSettings):
 
     CK_FILTER = {
         'int': [{
-            'id': '=',
+            'id': '==',
             'title': '等于'
         }, {
             'id': '!=',
@@ -162,33 +162,34 @@ class Settings(BaseSettings):
         },
         ],
         'string': [{
-            'id': '=',
+            'id': '==',
             'title': '等于'
         }, {
             'id': '!=',
             'title': '不等于'
         }, {
-            'id': 'in',
+            'id': 'like',
-            'title': '包括'
+            'title': '包含'
         }, {
-            'id': 'not in',
+            'id': 'not like',
-            'title': '不包括'
+            'title': '不包含'
         }, {
-            'id': 'not null',
+            'id': 'is not null',
             'title': '有值'
         }, {
             'id': 'is null',
             'title': '无值'
-        }, {
-            'id': 'regex',
-            'title': '正则匹配'
-        }, {
-            'id': 'not regex',
-            'title': '正则不匹配'
         },
+            #     {
+            #     'id': 'regex',
+            #     'title': '正则匹配'
+            # }, {
+            #     'id': 'not regex',
+            #     'title': '正则不匹配'
+            # },
         ],
         'float': [{
-            'id': '=',
+            'id': '==',
             'title': '等于'
         }, {
             'id': '!=',
@@ -200,34 +201,36 @@ class Settings(BaseSettings):
             'id': '>',
             'title': '大于'
         }, {
-            'id': 'not null',
+            'id': 'is not null',
             'title': '有值'
         }, {
             'id': 'is null',
             'title': '无值'
-        }, {
+        },
-            'id': 'range',
+            # {
-            'title': '区间'
+            #     'id': 'range',
-        }, ],
+            #     'title': '区间'
+            # },
+        ],
         'datetime': [
             {
-                'id': '=',
+                'id': '==',
                 'title': '绝对时间'
             },
             {
-                'id': '=',
+                'id': '==',
                 'title': '相对当前日期'
             },
             {
-                'id': '=',
+                'id': '==',
                 'title': '相对事件发生时刻'
             },
             {
-                'id': '=',
+                'id': 'is not null',
                 'title': '有值'
             },
             {
-                'id': '=',
+                'id': 'is null',
                 'title': '无值'
             },
         ],

models/__init__.py

@@ -0,0 +1 @@
+from .to_sql import ToSql

models/to_sql.py

@@ -0,0 +1,97 @@
+from typing import List, Tuple
+import sqlalchemy as sa
+from sqlalchemy.sql import func
+from sqlalchemy import create_engine, column, and_, desc, table, or_
+
+
+class ToSql:
+    def __init__(self, data: dict, db_name: str, table_name: str, columns: List[str]):
+        self.db_name = db_name
+        self.engine = create_engine('clickhouse://')
+        self.columns = self.gen_columns(columns)
+        self.event_view = data.get('eventView')
+        self.events = data.get('events')
+
+        self.table = sa.table(table_name, *self.columns, schema=self.db_name)
+
+    def gen_columns(self, columns):
+        return {col: column(col) for col in columns}
+
+    def get_date_range(self) -> Tuple[str, str]:
+        start_data: str = self.event_view.get('startTime')
+        end_data: str = self.event_view.get('endTime')
+        return start_data, end_data
+
+    def get_global_filters(self):
+        return self.event_view.get('filters') or []
+
+    def get_group_by(self):
+        # return self.event_view.get('groupBy') or []
+        return [item['columnName'] for item in self.event_view.get('groupBy')]
+
+    def get_time_particle_size(self):
+        return self.event_view.get('timeParticleSize') or 'day'
+
+    def get_sql_query_event_model(self):
+        """只是查event表"""
+        sqls = []
+        select_exprs = self.get_group_by()
+        select_exprs = [self.columns.get(item) for item in select_exprs]
+        time_particle_size = self.get_time_particle_size()
+        if time_particle_size == 'day':
+            select_exprs.append(func.toYYYYMMDD(self.columns['#event_time']).label('date'))
+
+        start_data, end_data = self.get_date_range()
+
+        for event in self.events:
+            event_name = event['event_name']
+            where = [
+                self.columns['#event_time'] >= start_data,
+                self.columns['#event_time'] <= end_data,
+                self.columns['#event_name'] == event_name
+            ]
+            analysis = event['analysis']
+            filters = event['filters'] + self.get_global_filters()
+            for item in filters:
+                col = self.columns.get(item['column_id'])
+                comparator = item['comparator_id']
+                ftv = item['ftv']
+                if comparator == '==':
+                    if len(ftv) > 1:
+                        where.append(or_(*[col == v for v in ftv]))
+                    else:
+                        where.append(col == ftv[0])
+                elif comparator == '>=':
+                    where.append(col >= ftv[0])
+                elif comparator == '<=':
+                    where.append(col <= ftv[0])
+                elif comparator == '>':
+                    where.append(col > ftv[0])
+                elif comparator == '<':
+                    where.append(col < ftv[0])
+                elif comparator == '!=':
+                    where.append(col != ftv[0])
+
+            if analysis == 'total_count':
+                qry = sa.select(select_exprs + [func.count()])
+            elif analysis == 'touch_user_count':
+                qry = sa.select(select_exprs + [func.count(sa.distinct(self.columns[event['#account_id']]))])
+            elif analysis == 'touch_user_avg':
+                qry = sa.select(select_exprs + [func.count(func.avg(self.columns[event['#account_id']]))])
+
+            elif analysis == 'distinct_count':
+                qry = sa.select(select_exprs + [func.count(sa.distinct(self.columns[event['event_attr_id']]))])
+            else:
+                qry = sa.select(select_exprs + [getattr(func, analysis)(self.columns[event['event_attr_id']])])
+
+            qry = qry.where(and_(*where))
+
+            qry = qry.group_by(*select_exprs)
+
+            if time_particle_size == 'day':
+                qry = qry.order_by(column('date'))
+
+            qry = qry.select_from(self.table)
+            sqls.append(str(qry.compile(self.engine, compile_kwargs={"literal_binds": True})))
+
+        return sqls

schemas/report.py

@@ -19,6 +19,7 @@ class ReportCreate(ReportBase):
     name: str
     project_id: str
     query: Json
+    sql: str
 
 
 class ReportDelete(DBBase):

schemas/sql.py

@@ -8,4 +8,5 @@ class Sql(BaseModel):
 
 
 class CkQuery(BaseModel):
-    report_id: List[str]
+    eventView: dict
+    events: List[dict]