Repository for Processing French Funding Data

In this repository, we process French funding data by adding information about partner organizations and affiliated persons.

Setup Instructions

To use it, first, create a .env file in the root directory and add authorization access. Then, there are three options:

1. Run the notebook process_and_send_data_details.ipynb

Run the notebook with all the details of the code, step by step. When using the Jupyter notebook, select the data source (ex: ANR, ANSES...) at the beginning, and then execute each cell to obtain a standardized format for one source at a time.

2. Run the Flask application locally

• In an IDE, execute: python projects_partners_flask_app.py
• Then, execute the process at http://127.0.0.1:5000/process?source= + the data source (ex: ANR, ANSES...).
• When the process is over, you can update the new projects or partners with:

  1. update the projects with the link:

  • http://127.0.0.1:5000/update/project?source= + the data source (ex: ANR, ANSES...)
    • example: curl -X POST "http://127.0.0.1:5000/update/project?source=ANSES"

  2. update the partners

  • http://127.0.0.1:5000/update/partner?source= + the data source (ex: ANR, ANSES...)
    • example: curl -X POST "http://127.0.0.1:5000/update/partner?source=ANSES"

3. Run the Flask application remotely

• blabla