Disclaimer: I am not knowledgeable in this field, but asked someone to help me with it so here is his solution (might be a waste of time but I don't know):
You can use the "sqlalchemy" library in Python along with the "alembic" library, which is a database migration tool compatible with SQLAlchemy.
def main():
# Update the database URL according to your setup
engine = create_engine("postgresql://username:password@localhost:5432/database_name")
with engine.connect() as connection:
generate_migrations()
apply_migrations()
python diff_tool.py
This will generate the necessary migration scripts based on the changes between the current schema and the one defined in the previous day's file. The migrations will be created in the migrations/versions directory.
This will apply the migrations to bring the database to the desired state.
Please note that this is a basic setup using SQLAlchemy and Alembic for PostgreSQL database migrations. You can customize the tool further based on your specific requirements, such as handling additional schema changes or incorporating more complex migrations.
Remember to update the database URL and credentials in both the alembic.ini file and the diff_tool.py script according to your actual PostgreSQL database setup.
1: Install the necessary dependencies:
2: Create a new directory for your project and navigate to it:
3: Initialize the Alembic migration environment:
4: Update the alembic.ini file in the migrations directory to configure your database connection. Modify the [alembic] section as follows:
5: Create a new Python script in the project directory, for example diff_tool.py. Add the following code to the script:
6: Customize the script as needed, including the database URL in the create_engine function.
7: Run the diffing tool:
8: To apply the generated migrations to the database, run the diffing tool again: