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Advanced Charts Save and Load Storage Example

This is a backend implementing a chart storage with Python and PostgreSQL. You can run this storage on your server to process users' saved data such as chart layouts, drawing templates, and indicator templates. For more information, refer to the Saving and loading charts section of the Advanced Charts documentation.

Requirements

Python 3x, pip, Django, PostgreSQL

How to start

  1. Clone the repository to your host machine.
  2. Install Python 3.x and pip. Use a virtual environment if your host has an older Python version that cannot be upgraded.
  3. Install PostgreSQL or any other Django-friendly database engine. You can also install pgAdmin or any other administrative tool for your database.
  4. Go to your chart storage folder and install the required dependencies: pip install -r requirements.txt. For Unix users: you should have the python-dev package to install psycopg2.
  5. Create an empty database in PostgreSQL using either the command line or pgAdmin.
  6. Configure your database connection in charting_library_charts/settings.py (see DATABASES at line 16).
  7. Run python manage.py migrate to create the database schema without any data.
  8. Generate a secret key by running python -c 'from django.core.management.utils import get_random_secret_key; print(get_random_secret_key())'.
  9. Set your secret key to your environment variables export SECRET_KEY='...'.
  10. Start a test instance of your database by running python manage.py runserver. Note that for production environments, you should avoid using runserver and instead use a suitable WSGI (Web Server Gateway Interface) server like Gunicorn.
  11. Set charts_storage_url in the Widget Constructor to the URL of your chart storage. Additionally, ensure to set client_id and user_id.