import re
import requests
import json
import pandas as pd
import numpy as np
from datetime import datetime
from requests.auth import HTTPBasicAuth
from sqlalchemy import create_engine
from airflow import DAG
from airflow.operators.python import PythonOperator

default_args = {
    'owner': 'airflow',
    'depends_on_past': False,
    'start_date': datetime(2023, 1, 1),
    'retries': 1,
}

def get_db_engine():
    """Создает подключение к PostgreSQL"""
    DF_CONFIG = {
        'dbname': "postgres",
        'user': "postgres",
        'password': "4a00d4b90cd830da0796",
        'host': "postgresql", 
        'port': "5432"
    }
    return create_engine(
        f"postgresql+psycopg2://{DF_CONFIG['user']}:{DF_CONFIG['password']}@"
        f"{DF_CONFIG['host']}:{DF_CONFIG['port']}/{DF_CONFIG['dbname']}",
        pool_size=10,
        max_overflow=20
    )

def upsert_list_fin_portfel(**kwargs):
    engine = get_db_engine()
    query = 
    """
    select distinct
          osv.schet as schet
        , osv.subkonto2 as subkonto2
        , null as summa_dogovora
        , null as percent_value
    from public.oborotno_salbdovaya_vedomostb osv
    where osv.subkonto2 not in (select dst2.subkonto2  from public.dict_subkonto_sec dst2)
    and (osv.schet like '%%01%%' or osv.schet like '%%03%%')
    """
    df = pd.read_sql(query, engine)

    with engine.begin() as conn:
        if not df.empty:
            conn.execute("CREATE TEMP TABLE temp_fin_portfel as SELECT * FROM public.fin_portfel WHERE 1=0")
            df.to_sql('temp_fin_portfel', con=conn, if_exists='append', index=False, method='multi')
            conn.execute
            ("""
            INSERT INTO public.fin_portfel
            SELECT
                  schet
                , subkonto2
                , summa_dogovora
                , percent_value
            FROM temp_fin_portfel
            """)
            return 'Список обновлен.'
        else:
            return 'Обновлять нечего.'

with DAG(
    dag_id='update_fin_portfel',
    default_args=default_args,
    description='Обновление списка Финансового портфеля',
    schedule_interval=None,
    catchup=False,
    tags=['sigma'],
) as dag:

    upsert_list_fin_portfel_task = PythonOperator(
        task_id='upsert_list_fin_portfel',
        python_callable='upsert_list_fin_portfel',
        provide_context=True
    )

upsert_list_fin_portfel_task