Mysql – The requests library is not installed google.cloud.sql.connector Python

It sounds like you’re encountering dependency issues with your Python environment while trying to use the Google Cloud SQL Connector. Creating a dedicated virtual environment for your project can help manage dependencies more effectively and isolate your project from global Python package installations. Here’s how you can set up a Python virtual environment, install the necessary libraries, and start using the Google Cloud SQL Connector:

Step 1: Install Python and PIP

Ensure that Python and PIP are installed on your system. You can download Python from the official website and it typically includes PIP.

Step 2: Create a Virtual Environment

Open your terminal or command prompt and navigate to your project directory. Then, execute the following command to create a virtual environment named venv:

# On Windows
python -m venv venv

# On macOS or Linux
python3 -m venv venv

Step 3: Activate the Virtual Environment

Before installing any packages, you need to activate the virtual environment:

# On Windows
.venvScriptsactivate

# On macOS or Linux
source venv/bin/activate

Step 4: Install Google Cloud SQL Connector and Requests

With your environment activated, install the Google Cloud SQL Connector and the requests library using PIP:

pip install google-cloud-sql-connector requests

Step 5: Write Python Code to Use the Connector

Now you can write your Python code to connect to your SQL Server instance on Google Cloud using the connector. Here’s a basic example of how to do this:

import google.cloud.sql.connector
import sqlalchemy

# Function to create SQL connection
def getconn() -> sqlalchemy.engine.base.Connection:
    conn = google.cloud.sql.connector.connect(
        "project-id:region:instance-id",  # Use your Cloud SQL instance connection name
        "pymysql",
        user="your-user",  # Replace with your database user
        password="your-password",  # Replace with your database password
        db="your-database-name"  # Replace with your database name
    )
    return conn

# Create a SQLAlchemy engine
engine = sqlalchemy.create_engine(
    "mysql+pymysql://",
    creator=getconn,
)

# Use the engine to execute SQL queries
with engine.connect() as conn:
    result = conn.execute("SELECT * FROM your_table")  # Replace 'your_table' with your actual table name
    for row in result:
        print(row)

# Close the engine
engine.dispose()

Step 6: Run Your Python Script

Execute your Python script within the activated virtual environment. This ensures that it uses the correct dependencies.

Additional Tips

• Always activate your virtual environment when working on your project.
• If you encounter other dependency-related issues, make sure to check that your dependencies are correctly listed and compatible.

This setup should help you manage your dependencies better and resolve the import issues you were experiencing with the Google Cloud SQL Connector.