How to implement commands from the Command Line Interface Tool in Python, specifically api requests
Question: Is it possible to execute command line interface tool operations within Python, specifically the 'list-dataflow' command?
Elaboration: The 'list-dataflow' command in the command line interface tool returns JSON structured metadata for a dataflow. My guess is that this command is just making a GET request to a DOMO api. If that is right, then what url and headers are used to make the request?
I need to implement getting this json data programmatically within Python. I am looking for something like the api that is available for datasets, except for dataflows. For example, you can make a GET request to the url 'https://api.domo.com/v1/datasets/<dataset_id>' with the headers {'Accept': 'application/json', 'Authorization': 'bearer <access_token>'}, and the api returns JSON structured metadata for the dataset with the specified dataset_id. Is there a similar functionality available for dataflows?
I have not seen anything about this functionality or a dataflow api in DOMO's documentation or in the Python library 'pydomo'.
Answers
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@walker_page when you run a command via the Java cli it prints to screen which API it's hitting. If it's just sending a POST request, then recreating the request in python should be pretty straight forward.
Jae Wilson
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@jaeW_at_Onyx , thanks for your response. I have noticed it printing api info when I run the 'connect' command to connect to my company's instance, but no api info is printed when running the list-dataflow command.
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those may be private APIs.
you can monitor network traffic from Chrome to see which APIs the browser is hitting. And you can watch the youtube video i linked to see how you authenticate against Domo.
leveraging private APIs is not something Domo supports, so you have to sleuth a bit.
There may be some wizards in the Domo User Group that have done it befroe.
Jae Wilson
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Also as a warning private APIs aren't supported by Domo so you're using those at your own risk as they could change without warning and cause issues or break your script.
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