58 lines
1.2 KiB
Python
58 lines
1.2 KiB
Python
import streamlit as st
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from sqlalchemy import create_engine, Text
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from data.scriptloader import get_sql
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import oracledb
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import pandas as pd
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from dotenv import load_dotenv
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from pathlib import Path
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from urllib.parse import quote
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import os
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import logging
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env_path = Path("config/settings.env")
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load_dotenv(env_path)
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oracle_conn_str = os.getenv("oracle_conn_str")
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co_dw_conn_str = os.getenv("co_dw_conn_str")
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co_daten_conn_str = os.getenv("co_daten_conn_str")
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def get_conn(db):
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match db:
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case "oracle":
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engine = create_engine(oracle_conn_str)
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case "co_dw":
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engine = create_engine(co_dw_conn_str)
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case "co_daten":
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engine = create_engine(co_dw_conn_str)
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case _:
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logging.info(f"Datenbank {db} konnte nicht gefunden werden")
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return engine
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def load_data(sql_file, db):
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sql = get_sql(sql_file)
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engine = get_conn(db)
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with engine.connect():
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df = pd.read_sql(sql, engine)
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return df
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# def get_data(db):
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# engine = get_conn(db)
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# with engine.connect() as conn:
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# print(engine)
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# return
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# if __name__ == "__main__":
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# get_data("co_daten") |