Pipedrive Ares Application

Overview

This application helps to process company data by fetching information from ares and then using this information to update corresponding company information on pipedrive.

The application is built using Flask and uses pipedrive API to interact with pipedrive data.

Key Features

• Fetches and processes company data.
• Updates the corresponding company information on Pipedrive based on the newly fetched data.
• Utilizes webhooks to trigger the process asynchronously upon receiving the post request.
• The application logs all requests received along with their IP addresses for tracing and troubleshooting.

Prerequisites

• Python 3.8 or later
• Flask
• API_TOKEN for pipedrive API access

Setup and Installation

1. Clone the repository:

   git clone <repository-url>

2. Change into the directory:

   cd <repository-folder>

3. Create a virtual environment:

   python -m venv venv

4. Activate the virtual environment:

   source venv/bin/activate  # for linux
   venv\Scripts\activate  # for windows

5. Install the necessary dependencies:

   pip install -r requirements.txt

6. Set the necessary environment variables:

   export WEBHOOK_URL=<your_webhook_url>
   export API_TOKEN=<your_api_token>

Directory Structure

├── Dockerfile ├── api_my_ares.py ├── app.py ├── helper.py ├── pipedrive.py └── requirements.txt

Usage

• To start the server, run:

  python app.py

API Endpoints

• GET /: Returns 'ok' and logs the IP address of the requester.
• POST /<webhook_url>: Triggers the processing of the company data. The webhook URL is read from the environment variable WEBHOOK_URL.

Disclaimer

Please ensure to handle the security aspects carefully when deploying this application. Also, ensure to use secure and unique values for WEBHOOK_URL and API_TOKEN environment variables to prevent unauthorized access.

Contact

For any queries or issues, please contact [email protected].

License

This project is licensed under MIT License.