### **Magento Apache Airflow Provider**
This repository contains a custom Apache Airflow provider for integrating with Magento 2. The provider enables the automation of various Magento-related tasks using Airflow, such as order synchronization and data exports.
#### **Features:**
- **Magento Integration**: Seamlessly connect to Magento 2 using OAuth1 authentication for secure API requests.
- **Custom Airflow Hooks**: Simplifies interaction with Magento's REST API and GraphQL.
- **Custom Airflow Operators**: Provides an operator to fetch and manipulate orders and other data from Magento.
#### **Contents:**
- **`airflow_magento_provider/hooks/magento.py`**: Contains the `MagentoHook` class, which handles OAuth authentication and API requests to Magento.
- **`airflow_magento_provider/operators/rest.py`**: Contains the `MagentoRestOperator` class.
- **`airflow_magento_provider/operators/graphql.py`**: Contains the `MagentoGraphQLOperator` class.
- **`example_dags/`**: Example DAGs for understanding Magento Operators and Hooks.
#### **Getting Started:**
1. **Install the provider**:
Clone the repository and install the package using pip:
```bash
git clone https://github.com/sivajik34/magento-airflow.git
cd apache_airflow_provider_magento
pip install .
```
Also, you can install it from https://pypi.org/project/apache-airflow-provider-magento/
pip install apache-airflow-provider-magento
3. **Set up Airflow connections**:
- Create an Airflow connection with your Magento credentials( System -> Integration -> Add new Integration).
4. **Create a DAG**:
- Set up your data synchronization pipeline by referring to the example DAGs in the `example_dags` directory.
#### **Requirements:**
- Apache Airflow 2.x
- Magento 2.4.x
- Python 3.8+
#### **Contributing:**
Contributions are welcome! Please feel free to submit a pull request or open an issue.
#### **License:**
This project is licensed under the MIT License.
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"description": "### **Magento Apache Airflow Provider**\n\nThis repository contains a custom Apache Airflow provider for integrating with Magento 2. The provider enables the automation of various Magento-related tasks using Airflow, such as order synchronization and data exports.\n\n#### **Features:**\n- **Magento Integration**: Seamlessly connect to Magento 2 using OAuth1 authentication for secure API requests. \n- **Custom Airflow Hooks**: Simplifies interaction with Magento's REST API and GraphQL.\n- **Custom Airflow Operators**: Provides an operator to fetch and manipulate orders and other data from Magento.\n\n#### **Contents:**\n- **`airflow_magento_provider/hooks/magento.py`**: Contains the `MagentoHook` class, which handles OAuth authentication and API requests to Magento.\n- **`airflow_magento_provider/operators/rest.py`**: Contains the `MagentoRestOperator` class.\n- **`airflow_magento_provider/operators/graphql.py`**: Contains the `MagentoGraphQLOperator` class.\n- **`example_dags/`**: Example DAGs for understanding Magento Operators and Hooks.\n\n#### **Getting Started:**\n1. **Install the provider**:\n Clone the repository and install the package using pip:\n ```bash\n git clone https://github.com/sivajik34/magento-airflow.git\n cd apache_airflow_provider_magento\n pip install .\n ```\n\n Also, you can install it from https://pypi.org/project/apache-airflow-provider-magento/\n pip install apache-airflow-provider-magento\n\n3. **Set up Airflow connections**:\n - Create an Airflow connection with your Magento credentials( System -> Integration -> Add new Integration).\n\n4. **Create a DAG**:\n - Set up your data synchronization pipeline by referring to the example DAGs in the `example_dags` directory.\n\n#### **Requirements:**\n- Apache Airflow 2.x\n- Magento 2.4.x\n- Python 3.8+\n\n#### **Contributing:**\nContributions are welcome! Please feel free to submit a pull request or open an issue.\n\n#### **License:**\nThis project is licensed under the MIT License.\n\n---\n",
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