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* Add "Deploy to Heroku" button to README.md * Make "Deploy to Heroku" button open a new browser tab * Fixing markdown typo in Deploy to Heroku button * Revert changes for opening Heroku in a new tab apparently Github doesn't support it * Add Instructions for Deploy to Heroku button * Add deploy button to instruction page * Removed button on the instruction page because it only works at the project root * Fixed some markdown lint errors * Fixed more MD lint issues * Added Procfile.txt * Removed .txt file extension from Procfile * Add TABPY_PORT env var and copy $PORT value to it after deploy * Removed static config for Port env var from app.json The port is dynamic and needs to be set on deploy via * Moved dynamic Port env var assignment to Procfile * Added a bit more detail to the instructions * Removed an extra empty line in app.json Co-authored-by: Jim Liu <[email protected]>
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web: export TABPY_PORT=$PORT && tabpy |
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{ | ||
"name": "TabPy", | ||
"description": "Analytics Extension implementation which expands Tableau's capabilities by allowing users to execute Python scripts and saved functions via Tableau's table calculations.", | ||
"repository": "https://github.com/tableau/TabPy", | ||
"logo": "", | ||
"keywords": ["tableau", "python", "analytics-extension"] | ||
} |
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# Deploying TabPy to your Heroku account | ||
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To deploy TabPy from master branch to a Heroku account: | ||
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1. Log in to Heroku with your account via a browser. | ||
If you don't have an account, create one. | ||
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2. Click the "Deploy to Heroku" button in the Readme. | ||
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3. Configure the new TabPy server by setting environment | ||
variables through Heroku's web console or API. |