first commit
This commit is contained in:
Ankit Malik
+10
@@ -0,0 +1,10 @@
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# Python-generated files
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__pycache__/
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*.py[oc]
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build/
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dist/
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wheels/
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*.egg-info
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# Virtual environments
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.venv
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@@ -0,0 +1 @@
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3.14
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@@ -0,0 +1,54 @@
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import polars as pl
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from sqlalchemy import text
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from log import *
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def create_clickhouse_table(
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df: pl.DataFrame,
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table_name: str,
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clickhouse_engine
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):
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type_mapping = {
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pl.Int8: "Nullable(Int8)",
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pl.Int16: "Nullable(Int16)",
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pl.Int32: "Nullable(Int32)",
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pl.Int64: "Nullable(Int64)",
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pl.UInt8: "Nullable(UInt8)",
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pl.UInt16: "Nullable(UInt16)",
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pl.UInt32: "Nullable(UInt32)",
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pl.UInt64: "Nullable(UInt64)",
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pl.Float32: "Nullable(Float32)",
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pl.Float64: "Nullable(Float64)",
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pl.Boolean: "Nullable(Bool)",
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pl.String: "Nullable(String)",
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pl.Date: "Nullable(Date)",
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pl.Datetime: "Nullable(DateTime)",
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}
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columns = []
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for col_name, dtype in df.schema.items():
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clickhouse_type = type_mapping.get(
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dtype,
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"Nullable(String)"
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)
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columns.append(
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f"`{col_name}` {clickhouse_type}"
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)
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create_sql = f"""
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CREATE TABLE IF NOT EXISTS {table_name}
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(
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{', '.join(columns)}
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)
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ENGINE = MergeTree()
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ORDER BY tuple()
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"""
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with clickhouse_engine.begin() as conn:
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conn.execute(text(create_sql))
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log.info(f"Table ready: {table_name}")
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@@ -0,0 +1,31 @@
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from db_con.connection import *
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from log import *
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def truncate_table(client, table_name: str) -> None:
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"""
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Truncate a ClickHouse table.
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"""
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query = f"TRUNCATE TABLE {table_name}"
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print(f"Truncating table: {table_name}")
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client.command(query)
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log.info(f"Table {table_name} truncated successfully.")
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def delete_rows(client, table_name: str, condition: str) -> None:
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"""
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Delete rows from a ClickHouse table based on a condition.
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"""
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query = f"""
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ALTER TABLE {table_name}
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DELETE WHERE {condition}
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"""
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print(f"Deleting rows from {table_name} where {condition}")
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client.command(query)
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log.info("Delete command submitted successfully.")
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+12
@@ -0,0 +1,12 @@
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# SQL Server
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MSSQL_SERVER=43.242.212.54,21443
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MSSQL_DB=OneApp_KelloggsMT
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MSSQL_USER=ankit_malik
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MSSQL_PASS=M4l!k#Ank1t001
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# ClickHouse
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CH_HOST=172.188.12.194
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CH_PORT=8123
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CH_USER=default
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CH_PASS=dipanshu_k
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CH_DB=kelloggs
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@@ -0,0 +1,86 @@
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from dotenv import load_dotenv
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from sqlalchemy import create_engine, text
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from sqlalchemy.engine import URL, Engine
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import os
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import clickhouse_connect
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from log import *
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load_dotenv()
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# SQL Server
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MSSQL_SERVER = os.getenv("MSSQL_SERVER")
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MSSQL_DB = os.getenv("MSSQL_DB")
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MSSQL_USER = os.getenv("MSSQL_USER")
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MSSQL_PASS = os.getenv("MSSQL_PASS")
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# ClickHouse
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CH_HOST = os.getenv("CH_HOST")
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CH_PORT = int(os.getenv("CH_PORT", "8123"))
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CH_USER = os.getenv("CH_USER")
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CH_PASS = os.getenv("CH_PASS")
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CH_DB = os.getenv("CH_DB")
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def build_sql_server_engine() -> Engine:
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odbc_dsn = (
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f"DRIVER={{ODBC Driver 18 for SQL Server}};"
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f"SERVER={MSSQL_SERVER};"
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f"DATABASE={MSSQL_DB};"
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f"UID={MSSQL_USER};"
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f"PWD={MSSQL_PASS};"
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"TrustServerCertificate=yes;"
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)
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sql_url = URL.create(
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drivername="mssql+pyodbc",
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query={"odbc_connect": odbc_dsn},
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)
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engine = create_engine(
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sql_url,
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pool_size=3,
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max_overflow=2,
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pool_pre_ping=True,
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connect_args={
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"fast_executemany": True,
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},
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)
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with engine.connect() as conn:
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log.info(conn.execute(text("SELECT 1")))
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return engine
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def build_clickhouse_engine() -> Engine:
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clickhouse_url = URL.create(
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drivername="clickhouse+http",
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username=CH_USER,
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password=CH_PASS,
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host=CH_HOST,
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port=CH_PORT,
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database=CH_DB,
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)
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engine = create_engine(
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clickhouse_url,
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pool_pre_ping=True,
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)
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with engine.connect() as conn:
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log.info( conn.execute(text("SELECT 1")))
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return engine
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def get_clickhouse_client():
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return clickhouse_connect.get_client(
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host=CH_HOST,
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port=CH_PORT,
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username=CH_USER,
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password="CH_PASS",
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database=CH_DB
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)
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+876
@@ -0,0 +1,876 @@
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import os
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import pyarrow
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import sys
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import logging
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from datetime import date, timedelta
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import polars as pl
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from sqlalchemy import create_engine, text
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from sqlalchemy.engine import Engine, URL
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import clickhouse_connect
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from dotenv import load_dotenv
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from log import log
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from clickhouse_task.create_table import create_clickhouse_table , check
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from db_con.connection import *
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from mids import *
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#PROJECT_ID = 40148
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p=40148
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def fetch_SOS_OneApp(engine: Engine, mids: list[int]) -> pl.DataFrame:
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if not mids:
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log.warning("No MIDs — nothing to fetch.")
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return pl.DataFrame()
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mid_list = ",".join(str(mid) for mid in mids)
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sql = f""" SELECT
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MID,
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EmpId AS employee_id,
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StoreId AS store_id,
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VisitDate AS visit_date,
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StoreTypeid AS storetype_id,
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ChannelId AS channel_id,
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SOSDefinitionName,
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SOSHeaderDeatils,
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SOSHeaderName,
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SOSHeaderID,
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SOSChildDeatils,
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SOSChildName,
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SOSChildID,
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SOSHeaderFacing,
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ChildTotalFacing,
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ChildSelfFacing,
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SOSTarget
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FROM
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(
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SELECT
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sm.CountryName,
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sc.MID,
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sm.RegionName,
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sm.StateName,
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sm.CityName,
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Em.SupervisorName,
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Em.EmpId,
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Em.EmpName AS EmployeeName,
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Em.DesignationName AS Designation,
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sm.StoreId,
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CAST(sc.VisitDate AS DATE) AS VisitDate,
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sm.StoreCode,
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sm.StoreName,
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sm.Address,
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sm.StoreTypeid,
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sm.ChannelId,
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sm.ChainName,
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MSD.SOSDefinitionName,
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CASE
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WHEN ISNULL(TS.SOSHeaderTable,'')='Master_Category' THEN 'Category'
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WHEN ISNULL(TS.SOSHeaderTable,'')='Master_SubCategory' THEN 'SubCategory'
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WHEN ISNULL(TS.SOSHeaderTable,'')='Master_Brand' THEN 'Brand'
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WHEN ISNULL(TS.SOSHeaderTable,'')='Master_SubBrand' THEN 'SubBrand'
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END AS SOSHeaderDeatils,
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TS.SOSHeaderName,
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TS.SOSHeaderValue AS SOSHeaderID,
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CASE
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WHEN ISNULL(TSC.SOSChildTable,'')='Master_Category' THEN 'Category'
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WHEN ISNULL(TSC.SOSChildTable,'')='Master_SubCategory' THEN 'SubCategory'
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WHEN ISNULL(TSC.SOSChildTable,'')='Master_Brand' THEN 'Brand'
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WHEN ISNULL(TSC.SOSChildTable,'')='Master_SubBrand' THEN 'SubBrand'
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END AS SOSChildDeatils,
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TSC.SOSChildName,
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TSC.SOSChildValue AS SOSChildID,
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TSC.ChildTotalFacing,
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TS.SOSHeaderFacing,
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TSC.ChildSelfFacing,
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(
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SELECT TOP 1 SOSTarget
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FROM OneApp_KelloggsMT.dbo.Mapping_StoreShareOfShelfTarget a
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WHERE a.SOSDefinitionId = MSD.SOSDefinitionId
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AND a.StoreId = sm.StoreId
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AND a.FromDate <= sc.VisitDate
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AND a.ToDate >= sc.VisitDate
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) AS SOSTarget
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FROM OneApp_KelloggsMT.dbo.T_ShareOfShelfHeader TS
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INNER JOIN OneApp_KelloggsMT.dbo.T_StoreCoverage SC
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ON TS.MID = SC.MID
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INNER JOIN OneApp_KelloggsMT.dbo.vw_StoreDetail SM
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ON SC.StoreId = SM.StoreId
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INNER JOIN OneApp_KelloggsMT.dbo.vw_Employee_Detail EM
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ON SC.EmpId = EM.EmpId
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|
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INNER JOIN OneApp_KelloggsMT.dbo.T_ShareOfShelfChild TSC
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ON TS.SOSId = TSC.SOSId
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INNER JOIN OneApp_KelloggsMT.dbo.Master_ShareOfShelfDefinition MSD
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ON MSD.SOSDefinitionId = TSC.SOSDefinitionId
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|
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WHERE EM.EmpName NOT LIKE 'test%'
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AND SC.MID IN ({mid_list})
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) A
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"""
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log.info(f"Fetching data for {len(mids):,} MIDs")
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df = pl.read_database(
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query=sql,
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connection=engine
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)
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log.info(f"Fetched {len(df):,} rows from SQL Server")
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return df
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def fetch_OQaD(engine: Engine, mids: list[int]) -> pl.DataFrame:
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if not mids:
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log.warning("No MIDs — nothing to fetch.")
|
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return pl.DataFrame()
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mid_list = ",".join(map(str, mids))
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sql = f"""
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WITH MID_TABLE_COV1 AS
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(
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SELECT DISTINCT
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EmpId,
|
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CAST(VisitDate AS DATE) AS VisitDate
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FROM OneApp_KelloggsMT.dbo.T_StoreCoverage
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WHERE MID IN ({mid_list})
|
||||
),
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|
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QUIZ AS
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(
|
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SELECT DISTINCT
|
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E.EmpId,
|
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CAST(DQ.VisitDate AS DATE) AS VisitDate,
|
||||
DQ.QuestionId,
|
||||
DQ.AnswerId,
|
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QC.QuestionCategoryId,
|
||||
QC.QuestionCategory
|
||||
|
||||
FROM OneApp_KelloggsMT.dbo.T_OQAD DQ
|
||||
|
||||
INNER JOIN OneApp_KelloggsMT.dbo.vw_Employee_Detail E
|
||||
ON DQ.EmpId = E.EmpId
|
||||
|
||||
INNER JOIN OneApp_KelloggsMT.dbo.Master_OQAD_Question QU
|
||||
ON DQ.QuestionId = QU.QuestionId
|
||||
|
||||
INNER JOIN OneApp_KelloggsMT.dbo.Master_OQAD_Category QC
|
||||
ON QU.QuestionCategoryId = QC.QuestionCategoryId
|
||||
|
||||
WHERE E.EmpName NOT LIKE 'test%'
|
||||
AND E.EmpName NOT LIKE '%TEST%'
|
||||
AND E.RightId = 6
|
||||
AND (
|
||||
E.ResignDate IS NULL
|
||||
OR E.ResignDate >= DQ.VisitDate
|
||||
)
|
||||
AND EXISTS
|
||||
(
|
||||
SELECT 1
|
||||
FROM MID_TABLE_COV1 A
|
||||
WHERE A.EmpId = DQ.EmpId
|
||||
AND A.VisitDate = CAST(DQ.VisitDate AS DATE)
|
||||
)
|
||||
)
|
||||
|
||||
SELECT
|
||||
Q.EmpId AS employee_id,
|
||||
0 AS process_id,
|
||||
Q.VisitDate AS visit_date,
|
||||
Q.QuestionCategoryId AS question_category_id,
|
||||
Q.QuestionCategory AS question_category,
|
||||
QM.QuestionId AS question_id,
|
||||
QM.Question AS question,
|
||||
|
||||
ISNULL(QA.AnswerId,0) AS answer_id,
|
||||
ISNULL(QA.Answer,'') AS answer,
|
||||
|
||||
CASE
|
||||
WHEN QA.AnswerId IS NULL THEN 'Not Answer'
|
||||
WHEN QA.RightAnswer = 1 THEN 'Y'
|
||||
WHEN QA.RightAnswer IS NULL THEN 'Not Answer'
|
||||
ELSE 'N'
|
||||
END AS correct_answer
|
||||
|
||||
FROM QUIZ Q
|
||||
|
||||
INNER JOIN OneApp_KelloggsMT.dbo.Master_OQAD_Question QM
|
||||
ON Q.QuestionId = QM.QuestionId
|
||||
|
||||
LEFT JOIN OneApp_KelloggsMT.dbo.Master_OQAD_Answer QA
|
||||
ON Q.AnswerId = QA.AnswerId
|
||||
"""
|
||||
|
||||
log.info(f"Fetching OQaD data for {len(mids):,} MIDs")
|
||||
|
||||
df = pl.read_database(
|
||||
query=sql,
|
||||
connection=engine
|
||||
)
|
||||
|
||||
log.info(f"Fetched {len(df):,} rows")
|
||||
|
||||
return df
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
def fetch_Survey(engine: Engine, mids: list[int]) -> pl.DataFrame:
|
||||
if not mids:
|
||||
log.warning("No MIDs — nothing to fetch.")
|
||||
return pl.DataFrame()
|
||||
|
||||
mid_list = ",".join(map(str, mids))
|
||||
|
||||
sql = f"""
|
||||
WITH QUIZ AS
|
||||
(
|
||||
SELECT
|
||||
SC.MID,
|
||||
SC.StoreId,
|
||||
EM.EmpId,
|
||||
EM.SupervisorId,
|
||||
CAST(SC.VisitDate AS DATE) AS VisitDate,
|
||||
|
||||
DQ.QuestionId,
|
||||
QU.Question,
|
||||
DQ.Answer,
|
||||
|
||||
QC.CategoryId,
|
||||
QC.Category,
|
||||
|
||||
MSS.SubCategoryId,
|
||||
MSS.SubCategory
|
||||
|
||||
FROM OneApp_KelloggsMT.dbo.T_SURVEY DQ
|
||||
|
||||
INNER JOIN OneApp_KelloggsMT.dbo.T_StoreCoverage SC
|
||||
ON DQ.MID = SC.MID
|
||||
|
||||
INNER JOIN OneApp_KelloggsMT.dbo.Master_SurveyQuestion QU
|
||||
ON DQ.QuestionId = QU.QuestionId
|
||||
|
||||
INNER JOIN OneApp_KelloggsMT.dbo.Master_SurveySubCategory MSS
|
||||
ON QU.SubCategoryId = MSS.SubCategoryId
|
||||
|
||||
INNER JOIN OneApp_KelloggsMT.dbo.Master_SurveyCategory QC
|
||||
ON MSS.CategoryId = QC.CategoryId
|
||||
|
||||
INNER JOIN OneApp_KelloggsMT.dbo.vw_Employee_Detail EM
|
||||
ON SC.EmpId = EM.EmpId
|
||||
|
||||
INNER JOIN OneApp_KelloggsMT.dbo.Master_Survey MS
|
||||
ON DQ.SurveyId = MS.SurveyId
|
||||
AND QU.SurveyId = MS.SurveyId
|
||||
|
||||
WHERE EM.EmpName NOT LIKE 'test%'
|
||||
AND SC.MID IN ({mid_list})
|
||||
)
|
||||
|
||||
SELECT
|
||||
Q.MID,
|
||||
Q.SupervisorId,
|
||||
Q.EmpId,
|
||||
SM.StoreId,
|
||||
Q.VisitDate,
|
||||
|
||||
SM.StoreTypeId,
|
||||
SM.ChainId,
|
||||
|
||||
Q.CategoryId,
|
||||
Q.Category,
|
||||
|
||||
Q.SubCategoryId,
|
||||
Q.SubCategory,
|
||||
|
||||
Q.QuestionId,
|
||||
Q.Question,
|
||||
Q.Answer
|
||||
|
||||
FROM QUIZ Q
|
||||
|
||||
INNER JOIN OneApp_KelloggsMT.dbo.vw_StoreDetail SM
|
||||
ON Q.StoreId = SM.StoreId
|
||||
"""
|
||||
|
||||
log.info(f"Fetching Survey data for {len(mids):,} MIDs")
|
||||
|
||||
df = pl.read_database(
|
||||
query=sql,
|
||||
connection=engine
|
||||
)
|
||||
|
||||
log.info(f"Fetched {len(df):,} Survey rows")
|
||||
|
||||
return df
|
||||
|
||||
|
||||
def fetch_additional_visibility(
|
||||
engine: Engine,
|
||||
mids: list[int]
|
||||
) -> pl.DataFrame:
|
||||
|
||||
if not mids:
|
||||
log.warning("No MIDs — nothing to fetch.")
|
||||
return pl.DataFrame()
|
||||
|
||||
mid_list = ",".join(map(str, mids))
|
||||
|
||||
sql = f"""
|
||||
SELECT
|
||||
TS.MID,
|
||||
|
||||
EM.EmpId AS emp_id,
|
||||
|
||||
SM.StoreId AS store_id,
|
||||
SM.StoreTypeId AS storetype_id,
|
||||
SM.ChannelId AS channel_id,
|
||||
SM.ChainId AS chain_id,
|
||||
|
||||
CASE
|
||||
WHEN SM.CameraAllow = 1 THEN 'Y'
|
||||
ELSE 'N'
|
||||
END AS camera_allowed,
|
||||
|
||||
CAST(SC.VisitDate AS DATE) AS visit_date,
|
||||
|
||||
CASE
|
||||
WHEN TS.Present = 0 THEN 'N'
|
||||
ELSE 'Y'
|
||||
END AS is_present,
|
||||
|
||||
ISNULL(MB.BrandId, 0) AS brand_id,
|
||||
ISNULL(MD.DisplayId, 0) AS display_id,
|
||||
|
||||
ISNULL(TS.Remark, '') AS remarks,
|
||||
|
||||
CASE
|
||||
WHEN ISNULL(TS.ImageUrl, '') = '' THEN ''
|
||||
ELSE CONCAT(
|
||||
'https://kimt1.parinaam.in/Upload/VisibilityImages/',
|
||||
TS.ImageUrl
|
||||
)
|
||||
END AS image_url
|
||||
|
||||
FROM OneApp_KelloggsMT.dbo.T_AdditionalVisibility TS
|
||||
|
||||
INNER JOIN OneApp_KelloggsMT.dbo.T_StoreCoverage SC
|
||||
ON TS.MID = SC.MID
|
||||
|
||||
INNER JOIN OneApp_KelloggsMT.dbo.vw_StoreDetail SM
|
||||
ON SC.StoreId = SM.StoreId
|
||||
|
||||
INNER JOIN OneApp_KelloggsMT.dbo.vw_Employee_Detail EM
|
||||
ON SC.EmpId = EM.EmpId
|
||||
|
||||
LEFT JOIN OneApp_KelloggsMT.dbo.Master_Brand MB
|
||||
ON TS.BrandId = MB.BrandId
|
||||
|
||||
LEFT JOIN OneApp_KelloggsMT.dbo.Master_Display MD
|
||||
ON TS.DisplayId = MD.DisplayId
|
||||
|
||||
WHERE EM.EmpName NOT LIKE 'test%'
|
||||
AND TS.Present = 1
|
||||
AND SC.MID IN ({mid_list})
|
||||
"""
|
||||
|
||||
log.info(
|
||||
f"Fetching Additional Visibility data for {len(mids):,} MIDs"
|
||||
)
|
||||
|
||||
df = pl.read_database(
|
||||
query=sql,
|
||||
connection=engine
|
||||
)
|
||||
|
||||
log.info(
|
||||
f"Fetched {len(df):,} Additional Visibility rows"
|
||||
)
|
||||
|
||||
return df
|
||||
|
||||
|
||||
def fetch_Coverage(engine: Engine, mids: list[int]) -> pl.DataFrame:
|
||||
|
||||
|
||||
|
||||
if not mids:
|
||||
log.warning("No MIDs — nothing to fetch.")
|
||||
return pl.DataFrame()
|
||||
|
||||
mid_list = ",".join(str(mid) for mid in mids)
|
||||
|
||||
sql = f"""
|
||||
SELECT
|
||||
{p} AS project_id,
|
||||
JP.MID,
|
||||
sm.StoreId AS store_id,
|
||||
JP.EmpId AS employee_id,
|
||||
CONVERT(date, JP.VisitDate) AS visit_date,
|
||||
JP.InTime AS in_time,
|
||||
JP.OutTime AS out_time,
|
||||
CASE
|
||||
WHEN JP.OutTime IS NULL OR JP.InTime IS NULL THEN NULL
|
||||
WHEN JP.OutTime < JP.InTime THEN 0
|
||||
ELSE DATEDIFF(SECOND, JP.InTime, JP.OutTime) / 60
|
||||
END AS duration_minutes,
|
||||
CASE
|
||||
WHEN (
|
||||
SELECT TOP 1 EmpId
|
||||
FROM OneApp_KelloggsMT.dbo.T_StoreCoverage SC
|
||||
WHERE SC.EmpId = JP.EmpId
|
||||
AND SC.StoreId = JP.StoreId
|
||||
AND SC.VisitDate = JP.VisitDate
|
||||
AND SC.ReasonId IN (0,1,3,9,10,19,20)
|
||||
) > 0
|
||||
THEN 'Y' ELSE 'N'
|
||||
END AS is_covered,
|
||||
CASE JP.Deviation
|
||||
WHEN 0 THEN 'Planned'
|
||||
WHEN 1 THEN 'Adhoc'
|
||||
WHEN 2 THEN 'Beat Plan'
|
||||
WHEN 3 THEN 'Non Merchandised'
|
||||
WHEN 4 THEN 'Add New Store'
|
||||
WHEN 5 THEN 'Non Program'
|
||||
ELSE ''
|
||||
END AS coverage_type,
|
||||
sm.StoreTypeId AS storetype_id,
|
||||
Em.SupervisorId AS supervisor_id,
|
||||
ISNULL(JP.ReasonId, 0) AS reason_id,
|
||||
sm.CameraAllow AS camera_allow,
|
||||
CAST(
|
||||
CASE
|
||||
WHEN sm.Latitude IS NULL OR sm.Latitude = 0 THEN 0
|
||||
WHEN sm.Longitude IS NULL OR sm.Longitude = 0 THEN 0
|
||||
WHEN JP.Latitude IS NULL OR JP.Latitude = 0 THEN 0
|
||||
WHEN JP.Longitude IS NULL OR JP.Longitude = 0 THEN 0
|
||||
ELSE SQRT(
|
||||
POWER(69.1 * (JP.Latitude - sm.Latitude), 2) +
|
||||
POWER(69.1 * (sm.Longitude - JP.Longitude)
|
||||
* COS(JP.Latitude / 57.3), 2)
|
||||
) * 1000
|
||||
END AS FLOAT
|
||||
) AS distance_meters,
|
||||
GETDATE() AS update_date,
|
||||
'ETL-SQLAlchemy' AS update_by
|
||||
FROM OneApp_KelloggsMT.dbo.T_StoreCoverage JP WITH (NOLOCK)
|
||||
INNER JOIN OneApp_KelloggsMT.dbo.vw_StoreDetail sm
|
||||
ON JP.StoreId = sm.StoreId
|
||||
INNER JOIN OneApp_KelloggsMT.dbo.vw_Employee_Detail Em
|
||||
ON JP.EmpId = Em.EmpId
|
||||
WHERE JP.MID IN ({mid_list})
|
||||
AND Em.UserName NOT LIKE 'test%'
|
||||
"""
|
||||
|
||||
log.info(f"Fetching coverage data for {len(mids):,} MIDs")
|
||||
|
||||
df = pl.read_database(
|
||||
query=sql,
|
||||
connection=engine
|
||||
)
|
||||
|
||||
log.info(f"Fetched {len(df):,} rows from SQL Server")
|
||||
|
||||
return df
|
||||
|
||||
|
||||
|
||||
|
||||
def fetch_stock_details(
|
||||
engine: Engine,
|
||||
mids: list[int]
|
||||
) -> pl.DataFrame:
|
||||
|
||||
if not mids:
|
||||
log.warning("No MIDs — nothing to fetch.")
|
||||
return pl.DataFrame()
|
||||
|
||||
mid_list = ",".join(map(str, mids))
|
||||
|
||||
sql = f"""
|
||||
SELECT
|
||||
SC.MID,
|
||||
|
||||
EM.SupervisorId AS supervisor_id,
|
||||
EM.EmpId AS employee_id,
|
||||
|
||||
SM.StoreId AS store_id,
|
||||
|
||||
CAST(SC.VisitDate AS DATE) AS visitdate,
|
||||
|
||||
SC.StoreTypeId,
|
||||
SM.StoreCategoryId,
|
||||
|
||||
VP.ProductId AS product_id,
|
||||
|
||||
TS.MSL,
|
||||
MP.MBQ,
|
||||
|
||||
ISNULL(TS.OpeningStock, 0)
|
||||
+ ISNULL(TS.MidDayStock, 0) AS stock_qty,
|
||||
|
||||
0 AS damagedstock,
|
||||
0 AS loststock,
|
||||
0 AS expirystock,
|
||||
|
||||
CASE
|
||||
WHEN ISNULL(TS.OpeningStock, 0)
|
||||
+ ISNULL(TS.MidDayStock, 0) >= 1
|
||||
THEN 'Y'
|
||||
ELSE 'N'
|
||||
END AS skuavailability,
|
||||
|
||||
'Parinaam' AS stocktype
|
||||
|
||||
FROM OneApp_KelloggsMT.dbo.T_Stock TS
|
||||
|
||||
INNER JOIN OneApp_KelloggsMT.dbo.T_StoreCoverage SC
|
||||
ON TS.MID = SC.MID
|
||||
|
||||
INNER JOIN OneApp_KelloggsMT.dbo.vw_StoreDetail SM
|
||||
ON SC.StoreId = SM.StoreId
|
||||
|
||||
INNER JOIN OneApp_KelloggsMT.dbo.vw_Employee_Detail EM
|
||||
ON SC.EmpId = EM.EmpId
|
||||
|
||||
INNER JOIN OneApp_KelloggsMT.dbo.vw_Product VP
|
||||
ON TS.ProductId = VP.ProductId
|
||||
|
||||
INNER JOIN
|
||||
(
|
||||
SELECT
|
||||
MBQ,
|
||||
ProductId,
|
||||
StateId,
|
||||
ChainId,
|
||||
StoreTypeId,
|
||||
StoreCategoryId,
|
||||
StoreClassId
|
||||
FROM OneApp_KelloggsMT.dbo.Mapping_ProductAssortment
|
||||
WHERE FromDate <= CAST(GETDATE() AS DATE)
|
||||
AND ToDate >= CAST(GETDATE() AS DATE)
|
||||
) MP
|
||||
ON MP.StateId = SM.StateId
|
||||
AND MP.ChainId = SM.ChainId
|
||||
AND MP.StoreTypeId = SM.StoreTypeId
|
||||
AND MP.StoreCategoryId = SM.StoreCategoryId
|
||||
AND MP.StoreClassId = SM.StoreClassId
|
||||
AND MP.ProductId = TS.ProductId
|
||||
|
||||
WHERE EM.EmpName NOT LIKE 'test%'
|
||||
AND SC.MID IN ({mid_list})
|
||||
"""
|
||||
|
||||
log.info(
|
||||
f"Fetching Stock Details data for {len(mids):,} MIDs"
|
||||
)
|
||||
|
||||
df = pl.read_database(
|
||||
query=sql,
|
||||
connection=engine
|
||||
)
|
||||
|
||||
log.info(
|
||||
f"Fetched {len(df):,} Stock Details rows"
|
||||
)
|
||||
|
||||
return df
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
def fetch_Attendance(
|
||||
engine: Engine,
|
||||
end_date: date | None = None,
|
||||
days_back: int = 15
|
||||
) -> pl.DataFrame:
|
||||
"""
|
||||
Fetch attendance source data.
|
||||
|
||||
Default:
|
||||
end_date = yesterday
|
||||
start_date = yesterday - 15 days
|
||||
"""
|
||||
|
||||
if end_date is None:
|
||||
end_date = date.today() - timedelta(days=1)
|
||||
|
||||
start_date = end_date - timedelta(days=days_back)
|
||||
|
||||
sql = f"""
|
||||
SELECT
|
||||
JP.EmpId AS employee_id,
|
||||
JP.StoreId AS store_id,
|
||||
CAST(JP.VisitDate AS DATE) AS visit_date,
|
||||
|
||||
EM.ManagerId AS supervisor_id,
|
||||
EM.JoinDate AS date_of_join,
|
||||
EM.ResignDate AS date_of_resign,
|
||||
EM.LegacyCode,
|
||||
|
||||
SC.ReasonId,
|
||||
SC.InTime,
|
||||
SC.OutTime,
|
||||
|
||||
MPU.PositionId,
|
||||
MP.PositionCode
|
||||
|
||||
FROM OneApp_KelloggsMT.dbo.Mapping_JourneyPlan JP
|
||||
|
||||
INNER JOIN OneApp_KelloggsMT.dbo.AspNetUsers EM
|
||||
ON JP.EmpId = EM.Id
|
||||
|
||||
LEFT JOIN OneApp_KelloggsMT.dbo.T_StoreCoverage SC
|
||||
ON JP.EmpId = SC.EmpId
|
||||
AND JP.StoreId = SC.StoreId
|
||||
AND JP.VisitDate = SC.VisitDate
|
||||
|
||||
LEFT JOIN OneApp_KelloggsMT.dbo.Mapping_PositionUser MPU
|
||||
ON JP.EmpId = MPU.EmpId
|
||||
AND JP.VisitDate BETWEEN MPU.FromDate AND MPU.ToDate
|
||||
|
||||
LEFT JOIN OneApp_KelloggsMT.dbo.Master_Position MP
|
||||
ON MPU.PositionId = MP.PositionId
|
||||
|
||||
WHERE JP.VisitDate BETWEEN '{start_date}'
|
||||
AND '{end_date}'
|
||||
AND EM.RightId = 6
|
||||
AND EM.EmployeeName NOT LIKE '%test%'
|
||||
"""
|
||||
|
||||
log.info(
|
||||
f"Fetching Attendance data from {start_date} to {end_date}"
|
||||
)
|
||||
|
||||
df = pl.read_database(
|
||||
query=sql,
|
||||
connection=engine
|
||||
)
|
||||
|
||||
log.info(
|
||||
f"Fetched {len(df):,} attendance rows "
|
||||
f"for {df['employee_id'].n_unique():,} employees"
|
||||
)
|
||||
|
||||
return df
|
||||
|
||||
def fetch_login(engine: Engine , mids: list[int]) -> pl.DataFrame:
|
||||
|
||||
sql = """
|
||||
WITH login_data AS
|
||||
(
|
||||
SELECT
|
||||
UD.EmpId,
|
||||
CAST(UD.LoginDate AS DATE) AS LoginDate,
|
||||
CONVERT(VARCHAR(8), UD.InTime, 108) AS LoginTime,
|
||||
|
||||
ROW_NUMBER() OVER
|
||||
(
|
||||
PARTITION BY
|
||||
UD.EmpId,
|
||||
CAST(UD.LoginDate AS DATE)
|
||||
ORDER BY UD.LoginDate
|
||||
) AS rn
|
||||
|
||||
FROM OneApp_KelloggsMT.dbo.T_DeviceLogin UD
|
||||
INNER JOIN OneApp_KelloggsMT.dbo.vw_Employee_Detail EM
|
||||
ON UD.EmpId = EM.EmpId
|
||||
|
||||
WHERE CAST(UD.LoginDate AS DATE) =
|
||||
CAST(DATEADD(DAY,-1,GETDATE()) AS DATE)
|
||||
|
||||
AND EM.RightId = 6
|
||||
AND EM.EmpName NOT LIKE '%test%'
|
||||
AND (
|
||||
EM.ResignDate IS NULL
|
||||
OR CAST(EM.ResignDate AS DATE) >=
|
||||
CAST(DATEADD(DAY,-1,GETDATE()) AS DATE)
|
||||
)
|
||||
)
|
||||
|
||||
SELECT
|
||||
LD.EmpId AS employee_id,
|
||||
LD.LoginDate AS login_date,
|
||||
LD.LoginTime AS login_time,
|
||||
|
||||
(
|
||||
SELECT MIN(CONVERT(VARCHAR(8), SC.InTime, 108))
|
||||
FROM OneApp_KelloggsMT.dbo.T_StoreCoverage SC
|
||||
WHERE SC.IsDel = 0
|
||||
AND SC.EmpId = LD.EmpId
|
||||
AND CAST(SC.VisitDate AS DATE) = LD.LoginDate
|
||||
) AS first_store_in_time,
|
||||
|
||||
(
|
||||
SELECT MAX(CONVERT(VARCHAR(8), SC.OutTime, 108))
|
||||
FROM OneApp_KelloggsMT.dbo.T_StoreCoverage SC
|
||||
WHERE SC.IsDel = 0
|
||||
AND SC.EmpId = LD.EmpId
|
||||
AND CAST(SC.VisitDate AS DATE) = LD.LoginDate
|
||||
) AS last_store_out_time,
|
||||
|
||||
CONCAT('40148','_',CAST(LD.EmpId AS VARCHAR(50))) AS unique_id
|
||||
|
||||
FROM login_data LD
|
||||
WHERE LD.rn = 1
|
||||
"""
|
||||
|
||||
|
||||
log.info("Fetching Login data for yesterday")
|
||||
|
||||
df = pl.read_database(
|
||||
query=sql,
|
||||
connection=engine
|
||||
)
|
||||
|
||||
log.info(f"Fetched {len(df):,} Login rows")
|
||||
|
||||
return df
|
||||
|
||||
|
||||
|
||||
def fetch_Promotion(engine: Engine, mids: list[int]) -> pl.DataFrame:
|
||||
|
||||
|
||||
|
||||
if not mids:
|
||||
log.warning("No MIDs — nothing to fetch.")
|
||||
return pl.DataFrame()
|
||||
|
||||
mid_list = ",".join(str(mid) for mid in mids)
|
||||
|
||||
sql = f"""
|
||||
SELECT
|
||||
sc.MID AS mid,
|
||||
{p} AS project_id,
|
||||
sc.StoreId AS store_id,
|
||||
Em.EmpId AS employee_id,
|
||||
CONVERT(date, sc.VisitDate) AS visit_date,
|
||||
Em.SupervisorId AS supervisor_id,
|
||||
sm.ChannelId AS channel_id,
|
||||
sm.ChainId AS chain_id,
|
||||
sm.StoreTypeId AS storetype_id,
|
||||
msd.PromoDefinitionId AS promo_definition_id,
|
||||
msd.PromoDefinitionName AS promo_definition_name,
|
||||
|
||||
-- Resolve which dimension level the promo targets
|
||||
-- (Category / SubCategory / Brand / SubBrand)
|
||||
CASE
|
||||
WHEN ISNULL(ts.PromoTable,'') = 'Master_Category' THEN 'Category'
|
||||
WHEN ISNULL(ts.PromoTable,'') = 'Master_SubCategory' THEN 'SubCategory'
|
||||
WHEN ISNULL(ts.PromoTable,'') = 'Master_Brand' THEN 'Brand'
|
||||
WHEN ISNULL(ts.PromoTable,'') = 'Master_SubBrand' THEN 'SubBrand'
|
||||
ELSE ''
|
||||
END AS promotion_details,
|
||||
|
||||
ts.PromoValue AS promotion_details_id,
|
||||
|
||||
-- Resolve the actual name of that dimension item
|
||||
-- SQL Server evaluates exactly ONE of these subqueries per row
|
||||
CASE
|
||||
WHEN ISNULL(ts.PromoTable,'') = 'Master_Category'
|
||||
THEN (SELECT a.CategoryName
|
||||
FROM OneApp_KelloggsMT.dbo.Master_Category a
|
||||
WHERE a.CategoryId = ts.PromoValue)
|
||||
WHEN ISNULL(ts.PromoTable,'') = 'Master_SubCategory'
|
||||
THEN (SELECT a.SubCategoryName
|
||||
FROM OneApp_KelloggsMT.dbo.Master_SubCategory a
|
||||
WHERE a.SubCategoryId = ts.PromoValue)
|
||||
WHEN ISNULL(ts.PromoTable,'') = 'Master_Brand'
|
||||
THEN (SELECT a.BrandName
|
||||
FROM OneApp_KelloggsMT.dbo.Master_Brand a
|
||||
WHERE a.BrandId = ts.PromoValue)
|
||||
WHEN ISNULL(ts.PromoTable,'') = 'Master_SubBrand'
|
||||
THEN (SELECT a.SubBrandName
|
||||
FROM OneApp_KelloggsMT.dbo.Master_SubBrand a
|
||||
WHERE a.SubBrandId = ts.PromoValue)
|
||||
END AS promo_value_name,
|
||||
|
||||
-- Present flag: 0 → 'N', anything else → 'Y'
|
||||
CASE WHEN ts.Present = 0 THEN 'N' ELSE 'Y' END AS is_present,
|
||||
|
||||
-- Reason only populated when promo is ABSENT
|
||||
CASE
|
||||
WHEN ts.Present = 1 THEN ''
|
||||
ELSE ISNULL(mnp.PromoReason, '')
|
||||
END AS reason,
|
||||
|
||||
ISNULL(mpq.PromoQuestionName, '') AS question,
|
||||
ISNULL(tpq.PromoAnswerName, '') AS answer,
|
||||
|
||||
-- Image URLs — empty string when no image
|
||||
CASE
|
||||
WHEN ISNULL(SHI.PromoImage1,'') = '' THEN ''
|
||||
ELSE 'https://kimt1.parinaam.in/Upload/PromotionImages/'
|
||||
+ SHI.PromoImage1
|
||||
END AS image1,
|
||||
CASE
|
||||
WHEN ISNULL(SHI.PromoImage2,'') = '' THEN ''
|
||||
ELSE 'https://kimt1.parinaam.in/Upload/PromotionImages/'
|
||||
+ SHI.PromoImage2
|
||||
END AS image2,
|
||||
|
||||
GETDATE() AS update_date,
|
||||
'ETL-SQLAlchemy' AS update_by
|
||||
|
||||
FROM OneApp_KelloggsMT.dbo.T_Promotion ts
|
||||
INNER JOIN OneApp_KelloggsMT.dbo.T_StoreCoverage sc
|
||||
ON ts.mid = sc.mid
|
||||
INNER JOIN OneApp_KelloggsMT.dbo.vw_StoreDetail sm
|
||||
ON sc.StoreId = sm.StoreId
|
||||
INNER JOIN OneApp_KelloggsMT.dbo.vw_Employee_Detail Em
|
||||
ON sc.EmpId = Em.EmpId
|
||||
INNER JOIN OneApp_KelloggsMT.dbo.Master_PromotionDefinition msd
|
||||
ON msd.PromoDefinitionId = ts.PromoDefinitionId
|
||||
LEFT JOIN OneApp_KelloggsMT.dbo.T_PromotionImages SHI
|
||||
ON ts.PId = SHI.PId
|
||||
LEFT JOIN OneApp_KelloggsMT.dbo.Master_PromotionReason mnp
|
||||
ON ts.PromoReasonId = mnp.PromoReasonId
|
||||
LEFT JOIN OneApp_KelloggsMT.dbo.t_promotionquestion tpq
|
||||
ON ts.PId = tpq.PId
|
||||
LEFT JOIN OneApp_KelloggsMT.dbo.Master_PromotionQuestion mpq
|
||||
ON tpq.PromoQuestionId = mpq.PromoQuestionId
|
||||
|
||||
WHERE Em.EmpName NOT LIKE 'test%'
|
||||
AND sc.MID IN ({mid_list})
|
||||
"""
|
||||
|
||||
log.info(f"Fetching Coverage data for {len(mids):,} MIDs")
|
||||
|
||||
df = pl.read_database(
|
||||
query=sql,
|
||||
connection=engine
|
||||
)
|
||||
|
||||
log.info(f"Fetched {len(df):,} rows from SQL Server")
|
||||
|
||||
return df
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
@@ -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")
|
||||
@@ -0,0 +1,120 @@
|
||||
# /// script
|
||||
# requires-python = ">=3.11"
|
||||
# dependencies = [
|
||||
# "polars>=0.20.0",
|
||||
# "sqlalchemy>=2.0.0",
|
||||
# "pyodbc>=5.0.0",
|
||||
# "pyyaml>=6.0.3",
|
||||
# "clickhouse-connect>=0.7.0",
|
||||
# "clickhouse-sqlalchemy>=0.3.2",
|
||||
# "python-dotenv>=1.0.0",
|
||||
# "pyarrow>=18.0.0"
|
||||
# ]
|
||||
# ///
|
||||
|
||||
|
||||
|
||||
import os
|
||||
import yaml
|
||||
import pyarrow
|
||||
import sys
|
||||
import logging
|
||||
from datetime import date, timedelta
|
||||
import polars as pl
|
||||
from sqlalchemy import create_engine, text
|
||||
from sqlalchemy.engine import Engine, URL
|
||||
import clickhouse_connect
|
||||
from dotenv import load_dotenv
|
||||
|
||||
from log import log
|
||||
from clickhouse_task.create_table import create_clickhouse_table , check
|
||||
from db_con.connection import *
|
||||
from mids import *
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
def main():
|
||||
|
||||
log.info("Hello from data-move Python data pipeline !")
|
||||
check()
|
||||
|
||||
if len(sys.argv) > 1:
|
||||
run_date = datetime.strptime(sys.argv[1], "%Y-%m-%d").date()
|
||||
else:
|
||||
run_date = date.today() - timedelta(days=1)
|
||||
|
||||
print(run_date)
|
||||
print(type(run_date))
|
||||
# connecting with both db servers sql-server
|
||||
|
||||
|
||||
log.info("connecting with both db servers sql-serveras well as clickhouse DB")
|
||||
|
||||
sql_engine = build_sql_server_engine()
|
||||
clickhouse_engine = build_clickhouse_engine()
|
||||
client=get_clickhouse_client()
|
||||
|
||||
log.info("Both databases connected successfully")
|
||||
|
||||
mids=collect_mids(sql_engine , run_date)
|
||||
|
||||
|
||||
# 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"]
|
||||
|
||||
log.info(table_name, operation)
|
||||
fn=f"fetch_{table_name}"
|
||||
|
||||
if table_type =="FACT" :
|
||||
|
||||
if table_name == "Attendance" :
|
||||
df = globals()[fn](sql_engine, run_date)
|
||||
|
||||
else:
|
||||
df = globals()[fn](sql_engine, mids)
|
||||
|
||||
|
||||
|
||||
|
||||
else:
|
||||
|
||||
df = globals()[fn](sql_engine)
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
#fetch table details
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
@@ -0,0 +1,362 @@
|
||||
import os
|
||||
import pyarrow
|
||||
import sys
|
||||
import logging
|
||||
from datetime import date, timedelta
|
||||
import polars as pl
|
||||
from sqlalchemy import create_engine, text
|
||||
from sqlalchemy.engine import Engine, URL
|
||||
import clickhouse_connect
|
||||
from dotenv import load_dotenv
|
||||
|
||||
from log import log
|
||||
from clickhouse_task.create_table import create_clickhouse_table , check
|
||||
from db_con.connection import *
|
||||
from mids import *
|
||||
|
||||
|
||||
|
||||
#PROJECT_ID = 40148
|
||||
p=40148
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
def fetch_Store_master(engine: Engine) -> pl.DataFrame:
|
||||
sql = """
|
||||
SELECT
|
||||
RegionId AS region_id,
|
||||
RegionName AS region,
|
||||
StateId AS state_id,
|
||||
StateName AS state,
|
||||
CityId AS city_id,
|
||||
CityName AS city,
|
||||
CityCode AS cpm_city_id,
|
||||
|
||||
ChannelId AS channel_id,
|
||||
ChannelName AS channel,
|
||||
|
||||
DistributorId AS distributor_id,
|
||||
Distributor AS distributor_name,
|
||||
|
||||
ChainId AS keyaccount_id,
|
||||
ChainName AS keyaccount,
|
||||
|
||||
StoreUniqueCode AS insight_store_id,
|
||||
StoreCode AS client_store_code,
|
||||
|
||||
Latitude AS latitude,
|
||||
Longitude AS longitude,
|
||||
|
||||
StoreCategoryId AS store_category_id,
|
||||
StoreCategory AS store_category,
|
||||
|
||||
StoreTypeId AS store_type_id,
|
||||
StoreType AS store_type,
|
||||
|
||||
StoreClassId AS store_classification_id,
|
||||
StoreClass AS store_classification,
|
||||
|
||||
StLayerFourId,
|
||||
|
||||
StoreId AS store_id,
|
||||
StoreName AS store_name,
|
||||
Address AS address
|
||||
|
||||
FROM OneApp_KelloggsMT.dbo.vw_storedetail
|
||||
"""
|
||||
|
||||
log.info("Fetching Store Master data")
|
||||
|
||||
df = pl.read_database(
|
||||
query=sql,
|
||||
connection=engine
|
||||
)
|
||||
|
||||
log.info(
|
||||
f"Fetched {len(df):,} stores"
|
||||
)
|
||||
|
||||
return df
|
||||
|
||||
|
||||
|
||||
|
||||
def fetch_sku_master(engine: Engine) -> pl.DataFrame:
|
||||
|
||||
sql = """
|
||||
SELECT
|
||||
CM.CategoryId AS category_id,
|
||||
CM.CategoryCode AS category_code,
|
||||
CM.CategoryName AS category_name,
|
||||
|
||||
SCA.SubCategoryId AS sub_category_id,
|
||||
SCA.SubCategoryCode AS sub_category_code,
|
||||
SCA.SubCategoryName AS sub_category_name,
|
||||
|
||||
BR.BrandId AS brand_id,
|
||||
BR.BrandCode AS brand_code,
|
||||
BR.BrandName AS brand_name,
|
||||
|
||||
SB.SubBrandId AS sub_brand_id,
|
||||
SB.SubBrandCode AS sub_brand_code,
|
||||
SB.SubBrandName AS sub_brand_name,
|
||||
|
||||
P.ProductId AS product_id,
|
||||
P.ProductName AS product_name,
|
||||
P.ProductCode AS product_code,
|
||||
|
||||
P.MRP AS mrp,
|
||||
|
||||
FL.FlavourId AS flavour_id,
|
||||
FL.Flavour AS flavour,
|
||||
|
||||
P.Grammage AS grammage,
|
||||
P.ProductSequence AS product_sequence,
|
||||
P.CaseSize AS case_size,
|
||||
|
||||
MC.Company AS company_name,
|
||||
MC.IsCompetitor AS is_competitor,
|
||||
|
||||
P.PTR AS ptr
|
||||
|
||||
FROM OneApp_KelloggsMT.dbo.Master_Product P
|
||||
|
||||
RIGHT JOIN OneApp_KelloggsMT.dbo.Master_Flavour FL
|
||||
ON P.FlavourId = FL.FlavourId
|
||||
|
||||
RIGHT JOIN OneApp_KelloggsMT.dbo.Master_SubBrand SB
|
||||
ON P.SubBrandId = SB.SubBrandId
|
||||
|
||||
RIGHT JOIN OneApp_KelloggsMT.dbo.Master_Brand BR
|
||||
ON SB.BrandId = BR.BrandId
|
||||
|
||||
RIGHT JOIN OneApp_KelloggsMT.dbo.Master_SubCategory SCA
|
||||
ON BR.SubCategoryId = SCA.SubCategoryId
|
||||
|
||||
RIGHT JOIN OneApp_KelloggsMT.dbo.Master_Category CM
|
||||
ON SCA.CategoryId = CM.CategoryId
|
||||
|
||||
RIGHT JOIN OneApp_KelloggsMT.dbo.Master_Company MC
|
||||
ON MC.CompanyId = BR.CompanyId
|
||||
"""
|
||||
|
||||
log.info("Fetching SKU Master data")
|
||||
|
||||
df = pl.read_database(
|
||||
query=sql,
|
||||
connection=engine
|
||||
)
|
||||
|
||||
log.info(
|
||||
f"Fetched {len(df):,} SKU Master rows"
|
||||
)
|
||||
|
||||
return df
|
||||
|
||||
|
||||
|
||||
|
||||
def fetch_display_master(engine: Engine) -> pl.DataFrame:
|
||||
"""
|
||||
Fetch Display Master data.
|
||||
Source: Master_Display
|
||||
Target: display_master
|
||||
"""
|
||||
|
||||
sql = """
|
||||
SELECT
|
||||
DisplayId AS display_id,
|
||||
DisplayCode AS display_code,
|
||||
DisplayName AS display_name,
|
||||
DisplayRefImage AS display_ref_url
|
||||
FROM OneApp_KelloggsMT.dbo.Master_Display
|
||||
"""
|
||||
|
||||
log.info("Fetching Display Master data")
|
||||
|
||||
df = pl.read_database(
|
||||
query=sql,
|
||||
connection=engine
|
||||
)
|
||||
|
||||
log.info(
|
||||
f"Fetched {len(df):,} Display Master records"
|
||||
)
|
||||
|
||||
return df
|
||||
|
||||
|
||||
import polars as pl
|
||||
from sqlalchemy.engine import Engine
|
||||
from loguru import logger as log
|
||||
|
||||
|
||||
def fetch_employee_master(engine: Engine) -> pl.DataFrame:
|
||||
"""
|
||||
Fetch Employee Master data.
|
||||
Source: vw_Employee_Detail + Mapping_PositionUser + Master_Position
|
||||
Target: Employee_Master
|
||||
"""
|
||||
|
||||
sql = """
|
||||
SELECT
|
||||
RegionId AS region_id,
|
||||
RegionName AS region,
|
||||
|
||||
StateId AS state_id,
|
||||
StateName AS state,
|
||||
|
||||
CityId AS city_id,
|
||||
CityName AS city,
|
||||
|
||||
A.EmpId AS employee_id,
|
||||
EmpName AS employee_name,
|
||||
Gender AS gender,
|
||||
|
||||
A.DesignationId AS designation_id,
|
||||
DesignationName AS designation,
|
||||
|
||||
SupervisorId AS manager_id,
|
||||
SupervisorName AS manager_name,
|
||||
|
||||
JoinDate AS employee_joining_date,
|
||||
ResignDate AS employee_resign_date,
|
||||
|
||||
C.PositionCode AS position_code,
|
||||
|
||||
EmpCode AS employee_legacy_code,
|
||||
|
||||
RIGHTNAME AS employee_role,
|
||||
|
||||
CASE
|
||||
WHEN RIGHTNAME IN ('Client', 'Client HO')
|
||||
THEN 'NON CPM'
|
||||
ELSE 'CPM'
|
||||
END AS employee_type
|
||||
|
||||
FROM OneApp_KelloggsMT.dbo.vw_Employee_Detail A
|
||||
|
||||
LEFT JOIN
|
||||
(
|
||||
SELECT DISTINCT
|
||||
PositionId,
|
||||
EmpId
|
||||
FROM OneApp_KelloggsMT.dbo.Mapping_PositionUser
|
||||
WHERE DATEDIFF(DAY, FromDate, GETDATE()) >= 0
|
||||
AND DATEDIFF(DAY, ToDate, GETDATE()) <= 0
|
||||
) B
|
||||
ON A.EmpId = B.EmpId
|
||||
|
||||
LEFT JOIN
|
||||
(
|
||||
SELECT
|
||||
PositionId,
|
||||
PositionCode
|
||||
FROM OneApp_KelloggsMT.dbo.Master_Position
|
||||
) C
|
||||
ON B.PositionId = C.PositionId
|
||||
"""
|
||||
|
||||
log.info("Fetching Employee Master data")
|
||||
|
||||
df = pl.read_database(
|
||||
query=sql,
|
||||
connection=engine
|
||||
)
|
||||
|
||||
log.info(
|
||||
f"Fetched {len(df):,} Employee Master records"
|
||||
)
|
||||
|
||||
return df
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
def fetch_employee_master(engine: Engine) -> pl.DataFrame:
|
||||
"""
|
||||
Fetch Employee Master data.
|
||||
Source: vw_Employee_Detail + Mapping_PositionUser + Master_Position
|
||||
Target: Employee_Master
|
||||
"""
|
||||
|
||||
sql = """
|
||||
SELECT
|
||||
RegionId AS region_id,
|
||||
RegionName AS region,
|
||||
|
||||
StateId AS state_id,
|
||||
StateName AS state,
|
||||
|
||||
CityId AS city_id,
|
||||
CityName AS city,
|
||||
|
||||
A.EmpId AS employee_id,
|
||||
EmpName AS employee_name,
|
||||
Gender AS gender,
|
||||
|
||||
A.DesignationId AS designation_id,
|
||||
DesignationName AS designation,
|
||||
|
||||
SupervisorId AS manager_id,
|
||||
SupervisorName AS manager_name,
|
||||
|
||||
JoinDate AS employee_joining_date,
|
||||
ResignDate AS employee_resign_date,
|
||||
|
||||
C.PositionCode AS position_code,
|
||||
|
||||
EmpCode AS employee_legacy_code,
|
||||
|
||||
RIGHTNAME AS employee_role,
|
||||
|
||||
CASE
|
||||
WHEN RIGHTNAME IN ('Client', 'Client HO')
|
||||
THEN 'NON CPM'
|
||||
ELSE 'CPM'
|
||||
END AS employee_type
|
||||
|
||||
FROM OneApp_KelloggsMT.dbo.vw_Employee_Detail A
|
||||
|
||||
LEFT JOIN
|
||||
(
|
||||
SELECT DISTINCT
|
||||
PositionId,
|
||||
EmpId
|
||||
FROM OneApp_KelloggsMT.dbo.Mapping_PositionUser
|
||||
WHERE DATEDIFF(DAY, FromDate, GETDATE()) >= 0
|
||||
AND DATEDIFF(DAY, ToDate, GETDATE()) <= 0
|
||||
) B
|
||||
ON A.EmpId = B.EmpId
|
||||
|
||||
LEFT JOIN
|
||||
(
|
||||
SELECT
|
||||
PositionId,
|
||||
PositionCode
|
||||
FROM OneApp_KelloggsMT.dbo.Master_Position
|
||||
) C
|
||||
ON B.PositionId = C.PositionId
|
||||
"""
|
||||
|
||||
log.info("Fetching Employee Master data")
|
||||
|
||||
df = pl.read_database(
|
||||
query=sql,
|
||||
connection=engine
|
||||
)
|
||||
|
||||
log.info(
|
||||
f"Fetched {len(df):,} Employee Master records"
|
||||
)
|
||||
|
||||
return df
|
||||
|
||||
|
||||
@@ -0,0 +1,36 @@
|
||||
import os
|
||||
import pyarrow
|
||||
import sys
|
||||
import logging
|
||||
from datetime import date, timedelta
|
||||
import polars as pl
|
||||
from sqlalchemy import create_engine, text
|
||||
from sqlalchemy.engine import Engine, URL
|
||||
import clickhouse_connect
|
||||
from dotenv import load_dotenv
|
||||
|
||||
from log import log
|
||||
from clickhouse_task.create_table import create_clickhouse_table , check
|
||||
from db_con.connection import *
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
def collect_mids(engine: Engine, target_date: date) -> list[int]:
|
||||
|
||||
sql = text("""
|
||||
SELECT MID FROM OneApp_KelloggsMT.dbo.T_StoreCoverage
|
||||
WHERE CONVERT(date, CreateDate) = :target_date
|
||||
UNION
|
||||
SELECT MID FROM OneApp_KelloggsMT.dbo.T_StoreCoverage
|
||||
WHERE CONVERT(date, UpdateDate) = :target_date
|
||||
""")
|
||||
log.info(f"Collecting MIDs for: {target_date}")
|
||||
with engine.connect() as conn:
|
||||
result = conn.execute(sql, {"target_date": target_date})
|
||||
mids = [row[0] for row in result.fetchall()]
|
||||
log.info(f"Found {len(mids):,} MIDs")
|
||||
return mids
|
||||
@@ -0,0 +1,10 @@
|
||||
[project]
|
||||
name = "data-move"
|
||||
version = "0.1.0"
|
||||
description = "Add your description here"
|
||||
readme = "README.md"
|
||||
requires-python = ">=3.14"
|
||||
dependencies = [
|
||||
"clickhouse-sqlalchemy>=0.3.2",
|
||||
"pyyaml>=6.0.3",
|
||||
]
|
||||
+84
@@ -0,0 +1,84 @@
|
||||
tables:
|
||||
- name: SOS_OneApp
|
||||
type: FACT
|
||||
operation: INSERT
|
||||
|
||||
- name: OQaD
|
||||
type: FACT
|
||||
operation: INSERT
|
||||
|
||||
- name: Survey
|
||||
type: FACT
|
||||
operation: INSERT
|
||||
|
||||
- name: additional_visibility
|
||||
type: FACT
|
||||
operation: INSERT
|
||||
|
||||
- name: Coverage
|
||||
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{ url = "https://files.pythonhosted.org/packages/fb/ee/b71a41ae810b429b909b4d68c9bd6decc4bca1407cac8d157b9470a654e2/zstd-1.5.7.3-cp315-cp315-manylinux_2_14_i686.whl", hash = "sha256:31ac7fbacca4759aad4b6abc13bbc05e68788e9e85a968255f7624b3b8db31df", size = 300146, upload-time = "2026-01-08T16:56:10.452Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/93/24/3925528355ededa372951f10e85bec9870e3f4d325b04cfb6d9707ba7dec/zstd-1.5.7.3-cp315-cp315-manylinux_2_14_x86_64.whl", hash = "sha256:d03b2927c5843ded4d1319836a33a9c21675d2f86f916a2f234a060d4c67d87c", size = 304202, upload-time = "2026-01-08T16:35:34.94Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/8d/37/2ed92c824e2f8ecff1a5f699677277a4d46ce9d527800aadf5f867455ccd/zstd-1.5.7.3-cp315-cp315t-manylinux_2_14_i686.whl", hash = "sha256:5dfbf2564eb574fc1f45613ecf28036a82533c3dd70e7bb1c9854168c638da7a", size = 300404, upload-time = "2026-01-08T16:24:41.593Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/92/77/a152dde083129c3eee60c3bc83963b8c747112afe375b3d6d4a96fa15427/zstd-1.5.7.3-cp315-cp315t-manylinux_2_14_x86_64.whl", hash = "sha256:7f2f5776b902f41daf7b63e75a9384b0d7c855f824f14dabefc67814b8fa5611", size = 304333, upload-time = "2026-01-08T16:25:49.196Z" },
|
||||
]
|
||||
Reference in New Issue
Block a user