14-06-26 1st comit
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# /// script
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# requires-python = ">=3.11"
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# dependencies = [
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# "polars>=0.20.0",
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# "pyarrow>=18.0.0",
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# "sqlalchemy>=2.0.0",
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# "pyodbc>=5.0.0",
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# "clickhouse-connect>=0.7.0",
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# "clickhouse-sqlalchemy>=0.3.2",
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# "pyyaml>=6.0.3",
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# "python-dotenv>=1.0.0",
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# ]
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# ///
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from __future__ import annotations
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import sys
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from datetime import date, datetime, timedelta
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import polars as pl
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import yaml
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from log import log
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from clickhouse_task.create_table import create_clickhouse_table
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from clickhouse_task.delete_task import (
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delete_existing_data,
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truncate_table,
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)
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from clickhouse_task.load_table import load_to_clickhouse
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from db_con.connection import (
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build_sql_server_engine,
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build_clickhouse_engine,
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get_clickhouse_client,
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)
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from mids import (
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MID_TABLE_COV,
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MID_TABLE_COV1,
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)
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from masters.dimensions import *
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from masters.bridge import *
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from kpi.facts import *
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# ==========================================================
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# Helpers
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# ==========================================================
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def table_exists(
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client,
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table_name: str,
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) -> bool:
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return bool(
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client.command(
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f"EXISTS TABLE {table_name}"
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)
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)
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def get_dataframe(
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fn_name: str,
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fetch_by: str,
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sql_engine,
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mids,
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run_date,
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):
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fn = globals()[fn_name]
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if fetch_by == "mids":
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return fn(sql_engine, mids)
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if fetch_by == "run_date":
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return fn(sql_engine, run_date)
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return fn(sql_engine)
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# ==========================================================
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# Main
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# ==========================================================
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def main():
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log.info("=" * 80)
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log.info("Hello from data-move Python data pipeline!")
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# ------------------------------------------------------
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# Run Date
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# ------------------------------------------------------
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if len(sys.argv) > 1:
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run_date = datetime.strptime(
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sys.argv[1],
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"%Y-%m-%d",
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).date()
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else:
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run_date = date.today() - timedelta(days=1)
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log.info(
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"Pipeline Run Date: %s",
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run_date,
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)
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# ------------------------------------------------------
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# Connections
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# ------------------------------------------------------
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log.info(
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"Connecting to databases..."
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)
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sql_engine = build_sql_server_engine()
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clickhouse_engine = build_clickhouse_engine()
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client = get_clickhouse_client()
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log.info(
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"Database connections established"
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)
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# ------------------------------------------------------
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# Delete Keys
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# ------------------------------------------------------
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mids = MID_TABLE_COV(
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sql_engine,
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run_date,
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)
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emp_visit_df = MID_TABLE_COV1(
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sql_engine,
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run_date,
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)
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# ------------------------------------------------------
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# Config
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# ------------------------------------------------------
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with open(
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"tables.yml",
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"r",
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) as file:
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config = yaml.safe_load(file)
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# ------------------------------------------------------
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# Process Tables
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# ------------------------------------------------------
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for table in config["tables"]:
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table_name = table["name"]
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operation = table["operation"]
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fetch_by = table["fetch_by"]
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log.info("=" * 80)
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log.info(
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"Processing Table: %s",
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table_name,
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)
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try:
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# ------------------------------------------
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# Fetch Data
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# ------------------------------------------
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fn_name = f"fetch_{table_name}"
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df = get_dataframe(
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fn_name=fn_name,
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fetch_by=fetch_by,
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sql_engine=sql_engine,
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mids=mids,
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run_date=run_date,
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)
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if df.is_empty():
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log.warning(
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"%s returned no rows",
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table_name,
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)
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continue
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log.info(
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"Fetched %s rows",
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len(df),
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)
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# ------------------------------------------
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# Create Table If Missing
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# ------------------------------------------
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exists = table_exists(
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client,
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table_name,
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)
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if not exists:
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log.info(
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"Creating table %s",
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table_name,
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)
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create_clickhouse_table(
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df=df,
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table_name=table_name,
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clickhouse_engine=clickhouse_engine,
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)
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# ------------------------------------------
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# Existing Table Logic
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# ------------------------------------------
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else:
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if operation == "DELETE+INSERT":
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truncate_table(
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client,
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table_name,
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)
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else:
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delete_existing_data(
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client=client,
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table_name=table_name,
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run_date=run_date,
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mids=mids,
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emp_visit_df=emp_visit_df,
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)
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# ------------------------------------------
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# Load Data
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# ------------------------------------------
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load_to_clickhouse(
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client=client,
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table_name=table_name,
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df=df,
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)
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log.info(
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"%s loaded successfully (%s rows)",
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table_name,
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len(df),
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)
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except Exception:
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log.exception(
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"Failed processing table %s",
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table_name,
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)
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raise
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log.info("=" * 80)
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log.info("Pipeline Completed Successfully")
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log.info("=" * 80)
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if __name__ == "__main__":
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main()
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