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@@ -140,12 +140,9 @@ Feb 28 03:23:52 predixedge b35f5fc9ed5b[319]: {"messageId":"flex-pipe","body":[{
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### Software You will Need
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In order to develop and run this sample locally you will need:
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*[**Python 3**](https://www.python.org/)
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*[**Docker**](https://www.docker.com/)
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* The *UAA URL*, *ClientID* and *Secret* for the Predix Cloud Time Series service to which you wish to ingest the app's output.
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To download dependencies, run `pip3 install -r requirements.txt`. Unit tests are in the [test](test/) directory. To run the tests, run `python3 setup.py test`.
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### Step 1: Install the core Predix Edge components
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To get started developing locally you will need to pull the core Predix Edge Docker images onto your local machine.
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This is very similar to Option 1, only instead of running the application in a Docker container, you run it locally on your machine.
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### Software You will Need
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In order to develop and run this sample locally you will need:
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*[**Python 3**](https://www.python.org/)
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To download dependencies, run `pip3 install -r requirements.txt`. Unit tests are in the [test](test/) directory. To run the tests, run `python3 setup.py test`.
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##### Step 1: Run the other containers of the Application
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Start the Data Broker. It is recommended to run this as a separate docker stack becuase the broker can be used with multiple applications and Predix Edge OS is shipped with the Broker already running. Execute the following command from the command line.
__append_new_line_log "To see the data in the cloud, using a browser, open the Front-end App URL shown above. With login=app_user_1, password=App_User_111""$quickstartLogDir"
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