14-06-2026 2nd commit

clickhouse_task/delete_task.py

@@ -70,8 +70,6 @@ def delete_existing_data(
         "PaidVisibility",
         "SOS_OneApp",
         "Stock_Details",
-        "Login",
-        "coverage_remarks",
     }
 
     if table_name in mid_tables and mids:
@@ -113,8 +111,7 @@ def delete_existing_data(
         client,
         table_name,
         f"""
-        project_id = 40148
+                 toDate(login_date) = toDate('{run_date}')
-        AND toDate(login_date) = toDate('{run_date}')
         """
     )
 

db_con/log.py

@@ -0,0 +1,24 @@
+
+from pathlib import Path
+from datetime import datetime
+import logging
+
+# Create logs folder if it doesn't exist
+Path("logs").mkdir(exist_ok=True)
+
+# Daily log file
+log_file = Path("logs") / f"etl_{datetime.now():%Y%m%d}.log"
+
+# Configure logging
+logging.basicConfig(
+    level=logging.INFO,
+    format="%(asctime)s | %(levelname)-8s | %(message)s",
+    datefmt="%Y-%m-%d %H:%M:%S",
+    handlers=[
+        logging.StreamHandler(),
+        logging.FileHandler(log_file, encoding="utf-8"),
+    ],
+)
+
+# Export logger
+log = logging.getLogger("etl")

kpi/facts.py

@@ -807,35 +807,6 @@ def fetch_Journey_Plan(
 
 
 
-def fetch_coverage_remarks(engine: Engine , mids: list[int]) -> pl.DataFrame:
-    """
-    Source:
-        OneApp_KelloggsMT.dbo.Master_NonWorkingReason
-
-    Target:
-        coverage_remarks
-    """
-
-    sql = """
-    SELECT
-        40148 AS project_id,
-        ReasonId AS reason_id,
-        Reason AS reason_remarks
-    FROM OneApp_KelloggsMT.dbo.Master_NonWorkingReason
-    """
-
-    log.info("Fetching Coverage Remarks")
-
-    df = pl.read_database(
-        query=sql,
-        connection=engine
-    )
-
-    log.info(
-        f"Fetched {len(df):,} Coverage Remark records"
-    )
-
-    return df
 
 
 def fetch_Web_Logins(
@@ -853,55 +824,39 @@ def fetch_Web_Logins(
     sql = f"""
       SELECT DISTINCT
         40148 AS project_id,
-
         EM1.Id AS supervisor_id,
         EM1.EmployeeName AS supervisor_name,
-
         EM.Id AS emp_id,
         EM.EmployeeName AS employee_name,
-
         DM.DesignationName AS designation,
-
+        CAST(AL.Date AS DATE) AS date,
-        CAST(AL.Date AS DATE) AS login_date,
+        CONVERT(VARCHAR(8), AL.Date, 108) AS time,
-        CONVERT(VARCHAR, AL.Date, 108) AS login_time,
-
         AL.Thread AS activity_name,
         AL.Level AS activity_type,
-
         R.RightName AS right_name,
-
+        GETDATE() AS CreateDate,
-        GETDATE() AS create_date,
+        'Pius' AS CreateBy
-        'Pius' AS create_by
-
     FROM OneApp_KelloggsMT.dbo.T_User_Activity_Log AL
-
     LEFT JOIN OneApp_KelloggsMT.dbo.AspNetUsers EM
-        ON AL.Logger = EM.UserName
+        ON AL.Logger = EM.USERNAME
-
     INNER JOIN OneApp_KelloggsMT.dbo.AspNetUsers EM1
         ON EM1.Id = EM.ManagerId
-
     INNER JOIN OneApp_KelloggsMT.dbo.AspNetUsers EM2
         ON EM2.Id = EM1.ManagerId
-
     INNER JOIN OneApp_KelloggsMT.dbo.Master_Designation DM
         ON EM.DesignationId = DM.DesignationId
-
     INNER JOIN OneApp_KelloggsMT.dbo.Master_City CM
         ON EM.CityId = CM.CityId
-
     INNER JOIN OneApp_KelloggsMT.dbo.Master_State ST
         ON ST.StateId = CM.StateId
-
     INNER JOIN OneApp_KelloggsMT.dbo.Master_Region RM
         ON RM.RegionId = ST.RegionId
-
     INNER JOIN OneApp_KelloggsMT.dbo.Right_Master R
         ON EM.RightId = R.RightId
-
     WHERE CAST(AL.Date AS DATE) = '{run_date}'
     """
 
+    
     log.info(f"Fetching Web Login data for {run_date}")
 
     df = pl.read_database(

main.py

@@ -13,238 +13,262 @@
 # ///
 
 
-
 from __future__ import annotations
 
-import os
-# import pyarrow
 import sys
-from datetime import date, timedelta, datetime
+from datetime import date, datetime, timedelta
 
 import polars as pl
 import yaml
-from dotenv import load_dotenv
 
-from sqlalchemy import create_engine, text
-from sqlalchemy.engine import Engine, URL
-
-import clickhouse_connect
 
 from log import log
 
+from clickhouse_task.create_table import create_clickhouse_table
+from clickhouse_task.delete_task import (
+    delete_existing_data,
+    truncate_table,
+)
 
+from clickhouse_task.load_table import load_to_clickhouse
+
+from db_con.connection import (
+    build_sql_server_engine,
+    build_clickhouse_engine,
+    get_clickhouse_client,
+)
+
+from mids import (
+    MID_TABLE_COV,
+    MID_TABLE_COV1,
+)
 
-from clickhouse_task.create_table import *
-from clickhouse_task.delete_task import *
-from clickhouse_task.load_table import *
-from db_con.connection import *
-from mids import *
 from masters.dimensions import *
 from masters.bridge import *
 from kpi.facts import *
 
 
+# ==========================================================
+# Helpers
+# ==========================================================
+
+def table_exists(
+    client,
+    table_name: str,
+) -> bool:
+
+    return bool(
+        client.command(
+            f"EXISTS TABLE {table_name}"
+        )
+    )
 
 
+def get_dataframe(
+    fn_name: str,
+    fetch_by: str,
+    sql_engine,
+    mids,
+    run_date,
+):
+
+    fn = globals()[fn_name]
+
+    if fetch_by == "mids":
+        return fn(sql_engine, mids)
+
+    if fetch_by == "run_date":
+        return fn(sql_engine, run_date)
+
+    return fn(sql_engine)
 
 
+# ==========================================================
+# Main
+# ==========================================================
 
 def main():
 
     log.info("=" * 80)
-    log.info("Hello from data-move Python data pipeline !")
+    log.info("Hello from data-move Python data pipeline!")
+
+    # ------------------------------------------------------
+    # Run Date
+    # ------------------------------------------------------
 
     if len(sys.argv) > 1:
-        run_date = datetime.strptime(sys.argv[1], "%Y-%m-%d").date()
+        run_date = datetime.strptime(
+            sys.argv[1],
+            "%Y-%m-%d",
+        ).date()
     else:
         run_date = date.today() - timedelta(days=1)
 
-    log.info(f"Data-pipeline running Date is  -:{run_date}")
+    log.info(
-    # connecting with both db servers sql-server
+        "Pipeline Run Date: %s",
+        run_date,
+    )
 
+    # ------------------------------------------------------
+    # Connections
+    # ------------------------------------------------------
 
-    log.info("connecting with both db servers sql-serveras well as clickhouse DB") 
+    log.info(
+        "Connecting to databases..."
+    )
 
     sql_engine = build_sql_server_engine()
     clickhouse_engine = build_clickhouse_engine()
-    client=get_clickhouse_client()
+    client = get_clickhouse_client()
 
-    log.info("Both databases connected successfully")
+    log.info(
+        "Database connections established"
+    )
 
-    mids = MID_TABLE_COV(sql_engine, run_date)
+    # ------------------------------------------------------
+    # Delete Keys
+    # ------------------------------------------------------
+
+    mids = MID_TABLE_COV(
+        sql_engine,
+        run_date,
+    )
 
     emp_visit_df = MID_TABLE_COV1(
         sql_engine,
-        run_date
+        run_date,
     )
 
+    # ------------------------------------------------------
+    # Config
+    # ------------------------------------------------------
+
+    with open(
+        "t.yml",
+        "r",
+    ) as file:
+
+        config = yaml.safe_load(file)
+
+    # ------------------------------------------------------
+    # Process Tables
+    # ------------------------------------------------------
+
+    for table in config["tables"]:
+
+        table_name = table["name"]
+        operation = table["operation"]
+        fetch_by = table["fetch_by"]
+
+        log.info("=" * 80)
+        log.info(
+            "Processing Table: %s",
+            table_name,
+        )
+
+        try:
+
+            # ------------------------------------------
+            # Fetch Data
+            # ------------------------------------------
+
+            fn_name = f"fetch_{table_name}"
+
+            df = get_dataframe(
+                fn_name=fn_name,
+                fetch_by=fetch_by,
+                sql_engine=sql_engine,
+                mids=mids,
+                run_date=run_date,
+            )
+
+            if df.is_empty():
+
+                log.warning(
+                    "%s returned no rows",
+                    table_name,
+                )
+
+                continue
+
+            log.info(
+                "Fetched %s rows",
+                len(df),
+            )
+
+            # ------------------------------------------
+            # Create Table If Missing
+            # ------------------------------------------
+
+            exists = table_exists(
+                client,
+                table_name,
+            )
+
+            if not exists:
+
+                log.info(
+                    "Creating table %s",
+                    table_name,
+                )
+
+                create_clickhouse_table(
+                    df=df,
+                    table_name=table_name,
+                    clickhouse_engine=clickhouse_engine,
+                )
+
+            # ------------------------------------------
+            # Existing Table Logic
+            # ------------------------------------------
+
+            else:
+
+                if operation == "DELETE+INSERT":
+
+                    truncate_table(
+                        client,
+                        table_name,
+                    )
+
+                else:
+
                     delete_existing_data(
                         client=client,
+                        table_name=table_name,
                         run_date=run_date,
                         mids=mids,
                         emp_visit_df=emp_visit_df,
                     )
 
+            # ------------------------------------------
+            # Load Data
+            # ------------------------------------------
 
+            load_to_clickhouse(
+                client=client,
+                table_name=table_name,
+                df=df,
+            )
 
+            log.info(
+                "%s loaded successfully (%s rows)",
+                table_name,
+                len(df),
+            )
 
+        except Exception:
 
+            log.exception(
+                "Failed processing table %s",
+                table_name,
+            )
 
-
+            raise
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-    mid_list = ",".join(map(str, mids))
-    conditions = {
-    "mids": f"MID IN ({mid_list})",
-
-    "j_plan": (
-        f"MONTH(VisitDate) = {run_date.month} "
-        f"AND YEAR(VisitDate) = {run_date.year}"
-    ),
-
-    "mapping": (
-        f"CAST(Z.FromDate AS DATE) <= '{run_date}' "
-        f"AND CAST(Z.ToDate AS DATE) >= '{run_date}'"
-    ),
-
-    "web": (
-        f"CAST(login_date AS DATE) = '{run_date}'"
-    ),
-
-    "none": None,
-}
-
-   
-
-    # fetching polar df from sql-server
-
-
-    
-
-
-    with open("tables.yml", "r") as file:
-        config = yaml.safe_load(file)
-
-    for table in config["tables"]:
-            
-        table_name=table["name"]
-        table_type=table["type"]
-        operation=table["operation"]
-        condition=table["condition"]
-        
-        c = conditions.get(condition) 
 
     log.info("=" * 80)
-        log.info("TABLE=%s | TYPE=%s | OPERATION=%s",
+    log.info("Pipeline Completed Successfully")
-                table_name,
+    log.info("=" * 80)
-                table_type,
-                operation)
-        
-
-        fn=f"fetch_{table_name}"
-        fetch_by = table["fetch_by"]
-
-        if operation == "DELETE+INSERT" :
-                if fetch_by == "mids":
-                    df = globals()[fn](sql_engine, mids)
-                    check_query=f"EXISTS TABLE {table_name}"
-                    exists = client.command(check_query)
-                    if exists == 0 :
-                         create_clickhouse_table(df, table_name, clickhouse_engine)
-
-                    else:     
-                        truncate_table(client , table_name )
-                        log.info(f"Truncate a ClickHouse table - {table_name}")
-
-                    load_to_clickhouse(client=client,table_name=table_name,df=df)
-
-                elif fetch_by == "run_date":
-                    df = globals()[fn](sql_engine, run_date)
-                    check_query=f"EXISTS TABLE {table_name}"
-                    exists = client.command(check_query)
-                    if exists == 0 :
-                         create_clickhouse_table(df, table_name, clickhouse_engine)
-
-                    else:     
-                        truncate_table(client , table_name )
-                        log.info(f"Truncate a ClickHouse table - {table_name}")
-
-                    load_to_clickhouse(client=client,table_name=table_name,df=df)
-                else:
-                    df = globals()[fn](sql_engine)
-                    check_query=f"EXISTS TABLE {table_name}"
-                    exists = client.command(check_query)
-                    if exists == 0 :
-                         create_clickhouse_table(df, table_name, clickhouse_engine)
-
-                    else:     
-                        truncate_table(client , table_name )
-                        log.info(f"Truncate a ClickHouse table - {table_name}")
-
-                    load_to_clickhouse(client=client,table_name=table_name,df=df)
-        else:
-                if fetch_by == "mids":
-                    df = globals()[fn](sql_engine, mids)
-                    check_query=f"EXISTS TABLE {table_name}"
-                    exists = client.command(check_query)
-                    if exists == 0 :
-                         create_clickhouse_table(df, table_name, clickhouse_engine)
-
-                    else:
-
-                        delete_rows(client, table_name, c )
-
-                    load_to_clickhouse(client=client,table_name=table_name,df=df)
-
-                elif fetch_by == "run_date":
-                    df = globals()[fn](sql_engine, run_date)
-                    check_query=f"EXISTS TABLE {table_name}"
-                    exists = client.command(check_query)
-                    if exists == 0 :
-                         create_clickhouse_table(df, table_name, clickhouse_engine)
-
-                    else:     
-                        
-                        delete_rows(client, table_name, c)
-
-                    load_to_clickhouse(client=client,table_name=table_name,df=df)
-                else:
-                    df = globals()[fn](sql_engine)
-                    check_query=f"EXISTS TABLE {table_name}"
-                    exists = client.command(check_query)
-                    if exists == 0 :
-                         create_clickhouse_table(df, table_name, clickhouse_engine)
-
-                    else:     
-                        truncate_table(client , table_name )
-                        log.info(f"Truncate a ClickHouse table - {table_name}")
-
-                    load_to_clickhouse(client=client,table_name=table_name,df=df)        
-
-
-
 
 
 if __name__ == "__main__":

masters/dimensions.py

@@ -484,3 +484,32 @@ def fetch_Master_Salesterritorylayer(
     return df
 
 
+def fetch_coverage_remarks(engine: Engine ) -> pl.DataFrame:
+    """
+    Source:
+        OneApp_KelloggsMT.dbo.Master_NonWorkingReason
+
+    Target:
+        coverage_remarks
+    """
+
+    sql = """
+    SELECT
+        40148 AS project_id,
+        ReasonId AS reason_id,
+        Reason AS reason_remarks
+    FROM OneApp_KelloggsMT.dbo.Master_NonWorkingReason
+    """
+
+    log.info("Fetching Coverage Remarks")
+
+    df = pl.read_database(
+        query=sql,
+        connection=engine
+    )
+
+    log.info(
+        f"Fetched {len(df):,} Coverage Remark records"
+    )
+
+    return df

t.yml

@@ -0,0 +1,105 @@
+tables:
+  - name: SOS_OneApp
+    type: FACT
+    operation: INSERT
+    fetch_by: mids
+
+  - name: OQaD
+    type: FACT
+    operation: INSERT
+    fetch_by: run_date
+
+  - name: Survey
+    type: FACT
+    operation: INSERT
+    fetch_by: mids
+
+  - name: additional_visibility
+    type: FACT
+    operation: INSERT
+    fetch_by: mids
+
+  - name: Coverage
+    type: FACT
+    operation: INSERT
+    fetch_by: mids
+
+  - name: Login
+    type: FACT
+    operation: INSERT
+    fetch_by: run_date
+
+  - name: Stock_Details
+    type: FACT
+    operation: INSERT
+    fetch_by: mids
+
+  - name: Attendance
+    type: FACT
+    operation: DELETE+INSERT
+    fetch_by: run_date
+
+  - name: Store_Master
+    type: DIMENSION
+    operation: DELETE+INSERT
+    fetch_by: none
+
+  - name: SKU_Master
+    type: DIMENSION
+    operation: DELETE+INSERT
+    fetch_by: none
+
+  - name: display_master
+    type: DIMENSION
+    operation: DELETE+INSERT
+    fetch_by: none
+
+  - name: Employee_Master
+    type: DIMENSION
+    operation: DELETE+INSERT
+    fetch_by: none
+
+  - name: Journey_Plan
+    type: FACT
+    operation: INSERT
+    fetch_by: run_date
+
+  - name: coverage_remarks
+    type: DIMENSION
+    operation: DELETE+INSERT
+    fetch_by: none
+
+  - name: mapping_storevisibility
+    type: BRIDGE
+    operation: DELETE+INSERT
+    fetch_by: run_date
+
+  - name: Master_VisibilityReason
+    type: DIMENSION
+    operation: DELETE+INSERT
+    fetch_by: none
+
+  - name: Master_VisibilityDefinition
+    type: DIMENSION
+    operation: DELETE+INSERT
+    fetch_by: none
+
+  - name: Web_Logins
+    type: FACT
+    operation: INSERT
+    fetch_by: run_date
+
+  - name: Promotion
+    type: FACT
+    operation: INSERT
+    fetch_by: mids
+
+  - name: PaidVisibility
+    type: FACT
+    operation: INSERT
+    fetch_by: mids
+
+  - name: Master_Salesterritorylayer
+    type: DIMENSION
+    operation: DELETE+INSERT
+    fetch_by: none

tables.yml

@@ -9,7 +9,7 @@ tables:
     type: FACT
     operation: INSERT
     fetch_by: run_date
-    condition: mids
+    condition: none
 
   - name: Survey
     type: FACT
@@ -32,8 +32,8 @@ tables:
   - name: Login
     type: FACT
     operation: INSERT
-    fetch_by: mids
+    fetch_by: run_date
-    condition: mids
+    condition: none
 
   - name: Stock_Details
     type: FACT

test.py

@@ -1,267 +0,0 @@
-from __future__ import annotations
-
-import sys
-from datetime import date, datetime, timedelta
-
-import polars as pl
-import yaml
-
-from log import log
-
-from clickhouse_task.create_table import create_clickhouse_table
-from clickhouse_task.delete_task import delete_existing_data , truncate_table
-from clickhouse_task.load_table import load_to_clickhouse
-
-from db_con.connection import (
-    build_sql_server_engine,
-    build_clickhouse_engine,
-    get_clickhouse_client,
-)
-
-from mids import MID_TABLE_COV, MID_TABLE_COV1
-
-from masters.dimensions import *
-from masters.bridge import *
-from kpi.facts import *
-
-
-# ============================================================
-# Helpers
-# ============================================================
-
-def get_dataframe(
-    fn_name: str,
-    fetch_by: str,
-    sql_engine,
-    mids,
-    run_date,
-) -> pl.DataFrame:
-
-    fn = globals()[fn_name]
-
-    if fetch_by == "mids":
-        return fn(sql_engine, mids)
-
-    if fetch_by == "run_date":
-        return fn(sql_engine, run_date)
-
-    return fn(sql_engine)
-
-
-def ensure_table_exists(
-    client,
-    clickhouse_engine,
-    table_name: str,
-    df: pl.DataFrame,
-) -> bool:
-
-    exists = client.command(
-        f"EXISTS TABLE {table_name}"
-    )
-
-    if not exists:
-        log.info(
-            "Creating ClickHouse table: %s",
-            table_name,
-        )
-
-        create_clickhouse_table(
-            df=df,
-            table_name=table_name,
-            clickhouse_engine=clickhouse_engine,
-        )
-
-    return bool(exists)
-
-
-# ============================================================
-# Main
-# ============================================================
-
-def main():
-
-    log.info("=" * 80)
-    log.info("Hello from data-move Python data pipeline !")
-
-    # --------------------------------------------------------
-    # Run Date
-    # --------------------------------------------------------
-
-    if len(sys.argv) > 1:
-        run_date = datetime.strptime(
-            sys.argv[1],
-            "%Y-%m-%d",
-        ).date()
-    else:
-        run_date = date.today() - timedelta(days=1)
-
-    log.info(
-        "Pipeline Run Date : %s",
-        run_date,
-    )
-
-    # --------------------------------------------------------
-    # Connections
-    # --------------------------------------------------------
-
-    log.info(
-        "Connecting to SQL Server and ClickHouse"
-    )
-
-    sql_engine = build_sql_server_engine()
-
-    clickhouse_engine = (
-        build_clickhouse_engine()
-    )
-
-    client = get_clickhouse_client()
-
-    log.info(
-        "Database connections established"
-    )
-
-    # --------------------------------------------------------
-    # Collect Delete Keys
-    # --------------------------------------------------------
-
-    mids = MID_TABLE_COV(
-        sql_engine,
-        run_date,
-    )
-
-    emp_visit_df = MID_TABLE_COV1(
-        sql_engine,
-        run_date,
-    )
-
-    # --------------------------------------------------------
-    # Delete Existing Data
-    # --------------------------------------------------------
-
-    delete_existing_data(
-        client=client,
-        run_date=run_date,
-        mids=mids,
-        emp_visit_df=emp_visit_df,
-    )
-
-    # --------------------------------------------------------
-    # Load Config
-    # --------------------------------------------------------
-
-    with open(
-        "tables.yml",
-        "r",
-    ) as file:
-
-        config = yaml.safe_load(file)
-
-    # --------------------------------------------------------
-    # Process Tables
-    # --------------------------------------------------------
-
-    for table in config["tables"]:
-
-        table_name = table["name"]
-        table_type = table["type"]
-        operation = table["operation"]
-        fetch_by = table["fetch_by"]
-
-        log.info("=" * 80)
-
-        log.info(
-            "TABLE=%s | TYPE=%s | OPERATION=%s",
-            table_name,
-            table_type,
-            operation,
-        )
-
-        try:
-
-            # --------------------------------------------
-            # Fetch
-            # --------------------------------------------
-
-            fn_name = f"fetch_{table_name}"
-
-            df = get_dataframe(
-                fn_name=fn_name,
-                fetch_by=fetch_by,
-                sql_engine=sql_engine,
-                mids=mids,
-                run_date=run_date,
-            )
-
-            if df.is_empty():
-
-                log.warning(
-                    "%s returned no rows",
-                    table_name,
-                )
-
-                continue
-
-            log.info(
-                "Fetched %s rows",
-                len(df),
-            )
-
-            # --------------------------------------------
-            # Create Table if Missing
-            # --------------------------------------------
-
-            exists = ensure_table_exists(
-                client=client,
-                clickhouse_engine=clickhouse_engine,
-                table_name=table_name,
-                df=df,
-            )
-
-            # --------------------------------------------
-            # Full Refresh Tables
-            # --------------------------------------------
-
-            if exists and operation == "DELETE+INSERT":
-
-                truncate_table(
-                    client,
-                    table_name,
-                )
-
-                log.info(
-                    "Truncated %s",
-                    table_name,
-                )
-
-            # --------------------------------------------
-            # Load
-            # --------------------------------------------
-
-            load_to_clickhouse(
-                client=client,
-                table_name=table_name,
-                df=df,
-            )
-
-            log.info(
-                "%s loaded successfully (%s rows)",
-                table_name,
-                len(df),
-            )
-
-        except Exception as e:
-
-            log.exception(
-                "Failed processing table %s",
-                table_name,
-            )
-
-            raise
-
-    log.info("=" * 80)
-    log.info("Pipeline Completed Successfully")
-    log.info("=" * 80)
-
-
-if __name__ == "__main__":
-    main()

test2.py

@@ -1,275 +0,0 @@
-# /// script
-# requires-python = ">=3.11"
-# dependencies = [
-#   "polars>=0.20.0",
-#   "pyarrow>=18.0.0",
-#   "sqlalchemy>=2.0.0",
-#   "pyodbc>=5.0.0",
-#   "clickhouse-connect>=0.7.0",
-#   "clickhouse-sqlalchemy>=0.3.2",
-#   "pyyaml>=6.0.3",
-#   "python-dotenv>=1.0.0",
-# ]
-# ///
-
-
-from __future__ import annotations
-
-import sys
-from datetime import date, datetime, timedelta
-
-import polars as pl
-import yaml
-
-
-from log import log
-
-from clickhouse_task.create_table import create_clickhouse_table
-from clickhouse_task.delete_task import (
-    delete_existing_data,
-    truncate_table,
-)
-
-from clickhouse_task.load_table import load_to_clickhouse
-
-from db_con.connection import (
-    build_sql_server_engine,
-    build_clickhouse_engine,
-    get_clickhouse_client,
-)
-
-from mids import (
-    MID_TABLE_COV,
-    MID_TABLE_COV1,
-)
-
-from masters.dimensions import *
-from masters.bridge import *
-from kpi.facts import *
-
-
-# ==========================================================
-# Helpers
-# ==========================================================
-
-def table_exists(
-    client,
-    table_name: str,
-) -> bool:
-
-    return bool(
-        client.command(
-            f"EXISTS TABLE {table_name}"
-        )
-    )
-
-
-def get_dataframe(
-    fn_name: str,
-    fetch_by: str,
-    sql_engine,
-    mids,
-    run_date,
-):
-
-    fn = globals()[fn_name]
-
-    if fetch_by == "mids":
-        return fn(sql_engine, mids)
-
-    if fetch_by == "run_date":
-        return fn(sql_engine, run_date)
-
-    return fn(sql_engine)
-
-
-# ==========================================================
-# Main
-# ==========================================================
-
-def main():
-
-    log.info("=" * 80)
-    log.info("Hello from data-move Python data pipeline!")
-
-    # ------------------------------------------------------
-    # Run Date
-    # ------------------------------------------------------
-
-    if len(sys.argv) > 1:
-        run_date = datetime.strptime(
-            sys.argv[1],
-            "%Y-%m-%d",
-        ).date()
-    else:
-        run_date = date.today() - timedelta(days=1)
-
-    log.info(
-        "Pipeline Run Date: %s",
-        run_date,
-    )
-
-    # ------------------------------------------------------
-    # Connections
-    # ------------------------------------------------------
-
-    log.info(
-        "Connecting to databases..."
-    )
-
-    sql_engine = build_sql_server_engine()
-    clickhouse_engine = build_clickhouse_engine()
-    client = get_clickhouse_client()
-
-    log.info(
-        "Database connections established"
-    )
-
-    # ------------------------------------------------------
-    # Delete Keys
-    # ------------------------------------------------------
-
-    mids = MID_TABLE_COV(
-        sql_engine,
-        run_date,
-    )
-
-    emp_visit_df = MID_TABLE_COV1(
-        sql_engine,
-        run_date,
-    )
-
-    # ------------------------------------------------------
-    # Config
-    # ------------------------------------------------------
-
-    with open(
-        "tables.yml",
-        "r",
-    ) as file:
-
-        config = yaml.safe_load(file)
-
-    # ------------------------------------------------------
-    # Process Tables
-    # ------------------------------------------------------
-
-    for table in config["tables"]:
-
-        table_name = table["name"]
-        operation = table["operation"]
-        fetch_by = table["fetch_by"]
-
-        log.info("=" * 80)
-        log.info(
-            "Processing Table: %s",
-            table_name,
-        )
-
-        try:
-
-            # ------------------------------------------
-            # Fetch Data
-            # ------------------------------------------
-
-            fn_name = f"fetch_{table_name}"
-
-            df = get_dataframe(
-                fn_name=fn_name,
-                fetch_by=fetch_by,
-                sql_engine=sql_engine,
-                mids=mids,
-                run_date=run_date,
-            )
-
-            if df.is_empty():
-
-                log.warning(
-                    "%s returned no rows",
-                    table_name,
-                )
-
-                continue
-
-            log.info(
-                "Fetched %s rows",
-                len(df),
-            )
-
-            # ------------------------------------------
-            # Create Table If Missing
-            # ------------------------------------------
-
-            exists = table_exists(
-                client,
-                table_name,
-            )
-
-            if not exists:
-
-                log.info(
-                    "Creating table %s",
-                    table_name,
-                )
-
-                create_clickhouse_table(
-                    df=df,
-                    table_name=table_name,
-                    clickhouse_engine=clickhouse_engine,
-                )
-
-            # ------------------------------------------
-            # Existing Table Logic
-            # ------------------------------------------
-
-            else:
-
-                if operation == "DELETE+INSERT":
-
-                    truncate_table(
-                        client,
-                        table_name,
-                    )
-
-                else:
-
-                    delete_existing_data(
-                        client=client,
-                        table_name=table_name,
-                        run_date=run_date,
-                        mids=mids,
-                        emp_visit_df=emp_visit_df,
-                    )
-
-            # ------------------------------------------
-            # Load Data
-            # ------------------------------------------
-
-            load_to_clickhouse(
-                client=client,
-                table_name=table_name,
-                df=df,
-            )
-
-            log.info(
-                "%s loaded successfully (%s rows)",
-                table_name,
-                len(df),
-            )
-
-        except Exception:
-
-            log.exception(
-                "Failed processing table %s",
-                table_name,
-            )
-
-            raise
-
-    log.info("=" * 80)
-    log.info("Pipeline Completed Successfully")
-    log.info("=" * 80)
-
-
-if __name__ == "__main__":
-    main()