A dashboard for Tesla Solar customers that don't have a PowerWall/Energy Gateway. These instructions are written to deploy locally to a system. The code is also easy to run via AWS Lambda/S3/CloudFront if you're familiar with those services.
- Go to https://github.com/jweier/SolarDataParser/archive/refs/heads/main.zip
- Unzip the file
- Move to your desired directory
- If using a webserver, the root of this zip file contains the index.html page that you will want to serve up
- Make note of the path to the directory you chose as it will be needed later
- Install Python 3
- Windows - https://www.python.org/downloads/
- Pi OS -
sudo apt-get install python3
- Open a command prompt or terminal window and go to the directory where you unzipped the code
- Run the following command to install the required Python packages:
python -m pip install -r requirements.txt
This token should be kept private as it allows anyone with the token to generate more API tokens to access your data.
- Browse to https://tesla-info.com/tesla-token.php
- Under Step 1, click Tesla Logon
- Login with your Tesla Credentials
- You will receive an error page
- Copy the URL of that page and paste it into the tesla-info website that you originally opened
- Scroll down and copy the text under Refresh Token (do not get your access token, this will not work)
- Keep that text for the setup process
- Find the main.py file in the root of the code and edit it
- At the very top, there is a variable named code_base. Update this variable to point to the full path where the code was unzipped to.
- For Windows paths, be sure to use a double backslash instead of a single backslash (i.e. C:\MyCodebase instead of C:\MyCodebase)
- Find the tesla.py file in the root of the code and edit it
- About halfway down, there is text that says refresh_token="" with a warning above it. Paste your refresh token in between the two paratheses.
- Create an empty folder in the assets named rawjsondata
If the folder containing the raw JSON dumps from the Tesla API is empty then you will be asked if you'd like to seed the data. This step should only be performed once and is only needed for initial setup. You will be asked the month/year you first started generating solar energy and then it will call the Tesla API and download the data for each month since you specified. Unfortunately, it has to be downloaded per month because if the time period is any larger Tesla summarizes the data and you don't get the daily level of detail.
- Run the following command to start the script
python main.py
- If you receive an error about numpy import failing then run sudo apt-get install libatlas-base-dev
- When asked about seeding the initial type Y
- When asked for the year, type in the year using 4 numbers
- When asked for the month, type in the month using 1-2 numbers
The data is only updated once a day for the API calls that are leveraged. Therefore, there is no point in updating multiple times per day.
To update the data daily, simply schedule something like cron or Windows Task Manager to run the python main.py command each day.