from collections import defaultdict

import pandas as pd
import numpy as np
from fastapi import APIRouter, Depends, Request
from motor.motor_asyncio import AsyncIOMotorDatabase

import crud, schemas
from common import *

from api import deps
from db import get_database
from db.ckdb import get_ck_db, CKDrive
from db.redisdb import get_redis_pool, RedisDrive

from models.behavior_analysis import BehaviorAnalysis
from models.user_analysis import UserAnalysis
from models.x_analysis import XAnalysis

router = APIRouter()


@router.post("/ltv_model_sql")
async def ltv_model_sql(
        request: Request,
        game: str,
        analysis: XAnalysis = Depends(XAnalysis),
        current_user: schemas.UserDB = Depends(deps.get_current_user)
) -> schemas.Msg:
    """ ltv模型sql """
    await analysis.init()
    sql = analysis.ltv_model_sql()
    return schemas.Msg(code=0, msg='ok', data=sql)


@router.post("/ltv_model")
async def ltv_model_sql(
        request: Request,
        game: str,
        analysis: XAnalysis = Depends(XAnalysis),
        ckdb: CKDrive = Depends(get_ck_db),
        current_user: schemas.UserDB = Depends(deps.get_current_user)
) -> schemas.Msg:
    """ ltv模型sql """
    await analysis.init()
    sql = analysis.ltv_model_sql()
    df = await ckdb.query_dataframe(sql)
    df.fillna(0, inplace=True)
    df.rename(columns={'date': '注册日期', 'cnt1': '角色数'}, inplace=True)
    data = {
        'titel': df.columns.tolist(),
        'rows': df.values.tolist()
    }

    return schemas.Msg(code=0, msg='ok', data=data)