14-06-26 1st comit
This commit is contained in:
@@ -1,41 +1,267 @@
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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 datetime import date, timedelta
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mids_list=[1,3]
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from log import log
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run_date=date.today()
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conditions = {
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"mids": f"MID IN ({','.join(map(str, mids_list))})",
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from clickhouse_task.create_table import create_clickhouse_table
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from clickhouse_task.delete_task import delete_existing_data , truncate_table
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from clickhouse_task.load_table import load_to_clickhouse
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"j_plan": (
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f"MONTH(VisitDate) = {run_date.month} "
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f"AND YEAR(VisitDate) = {run_date.year}"
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),
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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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"mapping": (
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f"CAST(Z.FromDate AS DATE) <= '{run_date}' "
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f"AND CAST(Z.ToDate AS DATE) >= '{run_date}'"
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),
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from mids import MID_TABLE_COV, MID_TABLE_COV1
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"web": (
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f"CAST(login_date AS DATE) = '{run_date}'"
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),
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"none": None,
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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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with open("tables.yml", "r") as file:
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config = yaml.safe_load(file)
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# ============================================================
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# Helpers
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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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table_type=table["type"]
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operation=table["operation"]
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condition=table["condition"]
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c = conditions[condition]
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print(table_name)
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print(table_type)
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print(operation)
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print(c)
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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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) -> pl.DataFrame:
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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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def ensure_table_exists(
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client,
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clickhouse_engine,
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table_name: str,
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df: pl.DataFrame,
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) -> bool:
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exists = client.command(
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f"EXISTS TABLE {table_name}"
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)
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if not exists:
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log.info(
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"Creating ClickHouse 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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return bool(exists)
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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 SQL Server and ClickHouse"
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)
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sql_engine = build_sql_server_engine()
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clickhouse_engine = (
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build_clickhouse_engine()
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)
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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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# Collect 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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# Delete Existing Data
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# --------------------------------------------------------
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delete_existing_data(
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client=client,
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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 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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table_type = table["type"]
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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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"TABLE=%s | TYPE=%s | OPERATION=%s",
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table_name,
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table_type,
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operation,
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)
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try:
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# --------------------------------------------
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# Fetch
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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 = ensure_table_exists(
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client=client,
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clickhouse_engine=clickhouse_engine,
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table_name=table_name,
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df=df,
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)
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# --------------------------------------------
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# Full Refresh Tables
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# --------------------------------------------
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if exists and 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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log.info(
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"Truncated %s",
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table_name,
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)
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# --------------------------------------------
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# Load
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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 as e:
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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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