83 lines
2.4 KiB
Python
83 lines
2.4 KiB
Python
import re
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import requests
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import json
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import pandas as pd
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import numpy as np
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from datetime import datetime
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from requests.auth import HTTPBasicAuth
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from sqlalchemy import create_engine
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from airflow import DAG
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from airflow.operators.python import PythonOperator
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default_args = {
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'owner': 'airflow',
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'depends_on_past': False,
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'start_date': datetime(2023, 1, 1),
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'retries': 1,
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}
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def get_db_engine():
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"""Создает подключение к PostgreSQL"""
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DF_CONFIG = {
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'dbname': "postgres",
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'user': "postgres",
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'password': "4a00d4b90cd830da0796",
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'host': "postgresql",
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'port': "5432"
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}
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return create_engine(
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f"postgresql+psycopg2://{DF_CONFIG['user']}:{DF_CONFIG['password']}@"
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f"{DF_CONFIG['host']}:{DF_CONFIG['port']}/{DF_CONFIG['dbname']}",
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pool_size=10,
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max_overflow=20
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)
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def upsert_list_fin_portfel(**kwargs):
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engine = get_db_engine()
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query =
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"""
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select distinct
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osv.schet as schet
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, osv.subkonto2 as subkonto2
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, null as summa_dogovora
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, null as percent_value
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from public.oborotno_salbdovaya_vedomostb osv
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where osv.subkonto2 not in (select dst2.subkonto2 from public.dict_subkonto_sec dst2)
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and (osv.schet like '%%01%%' or osv.schet like '%%03%%')
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"""
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df = pd.read_sql(query, engine)
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with engine.begin() as conn:
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if not df.empty:
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conn.execute("CREATE TEMP TABLE temp_fin_portfel as SELECT * FROM public.fin_portfel WHERE 1=0")
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df.to_sql('temp_fin_portfel', con=conn, if_exists='append', index=False, method='multi')
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conn.execute
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("""
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INSERT INTO public.fin_portfel
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SELECT
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schet
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, subkonto2
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, summa_dogovora
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, percent_value
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FROM temp_fin_portfel
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""")
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return 'Список обновлен.'
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else:
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return 'Обновлять нечего.'
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with DAG(
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dag_id='update_fin_portfel',
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default_args=default_args,
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description='Обновление списка Финансового портфеля',
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schedule_interval=None,
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catchup=False,
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tags=['sigma'],
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) as dag:
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upsert_list_fin_portfel_task = PythonOperator(
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task_id='upsert_list_fin_portfel',
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python_callable=upsert_list_fin_portfel,
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provide_context=True
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)
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upsert_list_fin_portfel_task |