import pandas as pd
from django.conf import settings
import sqlalchemy

def raschet_real(df, koefs):
    koef_summ = sum(koefs.values())
    for k, v in koefs.items():
        df[k] = (df[k] * v)
    df['rate'] = df[list(koefs.keys())].apply(lambda x: sum([x[k]*koefs[k] for k in list(koefs.keys())]), axis=1)
    df['rate'] = df['rate'] / koef_summ
    return df

def raschet(tables, filters, koefs):
    conn = sqlalchemy.create_engine(settings.DB_URL, connect_args={'options': '-csearch_path=public'})
    msk_ao = filters.get('msk_ao')
    msk_rayon = filters.get('msk_rayon')
    category = filters.get('category', [])
    categories = ','.join([f"'{c}'" for c in category])
    points_df = None
    nets_df = None
    for table in tables:
        if 'point' in table:
            if msk_ao is not None:
                query = f"select * from {table} where msk_ao={msk_ao} and category in ({categories});"
            else:
                query = f"select * from {table} where msk_rayon={msk_rayon} and category in ({categories});"
            points = pd.read_sql(query, conn)
            points_df = raschet_real(points, koefs)

        if 'net' in table:
            if msk_ao is not None:
                query = f"select * from {table} where msk_ao={msk_ao};"
            else:
                query = f"select * from {table} where msk_rayon={msk_rayon};"
            nets = pd.read_sql(query, conn)
            nets_df = raschet_real(nets, koefs)

    return points_df, nets_df