This application is designed to perform incremental loading of car listings data. It efficiently fetches and stores only the new or updated data from car listing sources, ensuring that your database remains up-to-date without redundant data processing.
- Incremental Loading: Only new or modified listings are loaded, reducing processing time and resource usage.
- Error Handling: Robust error handling mechanisms to ensure data integrity.
- Configurable: Supports configuration options for different data sources and update intervals.
- Python 3.7+
- Database: PostgreSQL (or any other supported database with minor adjustments)
- Dependencies: Listed in
requirements.txt
-
Clone the repository:
git clone https://github.com/yourusername/car-listings-loader.git cd car-listings-loader
-
Install the required dependencies:
pip install -r requirements.txt
-
Set up your database and configure the connection in the
config.ini
file. -
Run the initial setup to prepare the database:
python setup.py
The application uses a config.ini
file for configuration. Below is an example of what the configuration file might look like:
[database]
host = localhost
port = 5432
user = yourusername
password = yourpassword
dbname = car_listings
[loader]
data_source_url = https://example.com/api/car-listings
update_interval = 86400 # Time in seconds
To start the incremental loading process, simply run the following command:
python load_data.py
This will fetch and store new or updated car listings data based on the last successful run.
The application logs important events and errors to a log file located at logs/app.log
. You can adjust the logging level and format in the config.ini
file.
The application is designed to handle common errors gracefully, including:
- Network Errors: Retries fetching data in case of network failures.
- Database Errors: Ensures database integrity by rolling back incomplete transactions.
- Connection Issues: Ensure that your database credentials are correct and that the database server is running.
- Missing Data: Check the logs in
logs/app.log
for any errors related to data fetching or processing.
If you wish to contribute to this project, please fork the repository and submit a pull request. All contributions are welcome!
This project is licensed under the MIT License. See the LICENSE file for details.