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Getting data from SQL server to odoo postgresql server. best practices and industry standard

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postgresqlapisqlpsycopg2datamanagement
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Imran ahmed

My objective is to transfer the data from a SQL server to odoo Postgres database automatically. below is my Python script, which will run on a scheduled basis in a linux system.


Now I'm trying to know, what is the industry standard, how are you solving this problem, is there any better way to do this.


This is what I have done so far.

import pandas as pd
import pymssql
import psycopg2
import psycopg2.extras

# Function to fetch data from SQL Server data table
def fetch_data_from_sql_server(server, database, username, password, table_name):
    connection = pymssql.connect(server=server, database=database, user=username, password=password)
    query = f'SELECT TOP 15 CustomerCode,CustomerName,Mobile,Business FROM {table_name};'  # Use "TOP 10" to get the first 10 rows
    data = pd.read_sql(query, connection)
    connection.close()
    return data

# Function to insert data into PostgreSQL database
def insert_data_to_postgres(server, database, username, password, table_name, data):
    connection_string = f'dbname={database} user={username} password={password} host={server}'
    with psycopg2.connect(connection_string) as conn:
        data_columns = data.columns.tolist()

        # Convert data to a list of tuples to use with psycopg2.extras.execute_values
        data_values = [tuple(row) for row in data.to_numpy()]

        with conn.cursor() as cur:
            for row in data_values:
                customer_code = row[0]  # Assuming CustomerCode is the first column in the DataFrame
                # Check if the CustomerCode exists in the PostgreSQL table
                cur.execute(f"SELECT CustomerCode FROM {table_name} WHERE CustomerCode = %s", (customer_code,))
                if not cur.fetchone():  # If the customer does not exist, insert the row
                    insert_query = f"INSERT INTO {table_name} ({', '.join(data_columns)}) VALUES %s"
                    psycopg2.extras.execute_values(cur, insert_query, [row])

        # Commit the changes to the database
        conn.commit()



# Configuration for SQL Server
sql_server_config = {
    "server": "server_url",
    "database": "dbname",
    "username": "sa",
    "password": "password",
    "table_name": "Customer",
}


# Configuration for PostgreSQL
postgres_config = {
    "server": "server_url",
    "database": "dbname",
    "username": "username",
    "password": "password",
    "table_name": "table_name",
}

# Fetch data from SQL Server
data = fetch_data_from_sql_server(**sql_server_config)

# Insert data into PostgreSQL
insert_data_to_postgres(**postgres_config, data=data)

print("Data transfer completed successfully.")
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