400 Error when trying to create a dataset with API on Python
Hey guys
I'm trying to create a dataset with API on Python script but it's throwing a 400 error. Below is the code.
json = { "name": "Dataset Name", "description": "Description", "rows": 0, "schema": { "columns": [ {"type": "STRING", "name": "Col1"}, {"type": "STRING", "name": "Col2"} ] } } response = requests.post('https://api.domo.com/v1/datasets', headers={'Authorization': 'bearer ' + accessToken, 'Content-Type': 'application/json', 'Accept': 'application/json'}, json=json)
Could you please advise on how I can get it work?
Thank you!
Answers
-
Hi @DKCloud9
Have you tried utilizing pydomo? It's all packaged to neatly do this and is a supported method for communicating with the APIs.
Are you getting an error message back with your 400 code? Have you tried replicating your API request in a tool like Postman to make sure your body, parameters and url are correct?
**Was this post helpful? Click Agree or Like below**
**Did this solve your problem? Accept it as a solution!**1 -
@GrantSmith
Actually before I tried it with fewer columns with data type I know it's definitely working for this and it worked.
Where can I see the list of data types I can use to create DOMO dataset? I used "INTEGER" and "FLOAT" but i think thats where the errors are caused. I am assuming different terminology is used.
0 -
if your'e not going to use PyDomo, I'd recommend forming your query in Postman.
also i don't know what JSON is expecting, but keep in mind the API expects a string not a dictionary.
Jae Wilson
Check out my 🎥 Domo Training YouTube Channel 👨💻
**Say "Thanks" by clicking the ❤️ in the post that helped you.
**Please mark the post that solves your problem by clicking on "Accept as Solution"0 -
I am trying to install pydomo via pip but it shows an error stating 'Could not fetch URL https://pypi.org/simple/pip/'
0
Categories
- All Categories
- 1.4K Product Ideas
- 1.4K Ideas Exchange
- 1.4K Connect
- 1.2K Connectors
- 284 Workbench
- 4 Cloud Amplifier
- 4 Federated
- 2.9K Transform
- 88 SQL DataFlows
- 554 Datasets
- 2.2K Magic ETL
- 3.3K Visualize
- 2.3K Charting
- 564 Beast Mode
- 9 App Studio
- 27 Variables
- 577 Automate
- 140 Apps
- 414 APIs & Domo Developer
- 22 Workflows
- 1 DomoAI
- 28 Predict
- 12 Jupyter Workspaces
- 16 R & Python Tiles
- 350 Distribute
- 90 Domo Everywhere
- 258 Scheduled Reports
- 2 Software Integrations
- 91 Manage
- 88 Governance & Security
- 9 Product Release Questions
- Community Forums
- 42 Getting Started
- 28 Community Member Introductions
- 85 Community Announcements
- 4.8K Archive