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Programatic access to Files in Repos

Jiri_Koutny
New Contributor III

Hi, we are testing the new Files support in Databricks repos. Is there a way how to programmatically read notebooks?

UntitledThanks

1 ACCEPTED SOLUTION

Accepted Solutions

User16871418122
Contributor III

Hi @Jiri Koutny​ these files anyway should be synced to your remote repository (git, bitbucket, GitLab etc). The APIs from version control tools Git API for example might help you achieve what you want.

https://stackoverflow.com/questions/38491722/reading-a-github-file-using-python-returns-html-tags

#!/usr/bin/env python3
import base64
import requests
 
 
url = 'https://api.github.com/repos/{user}/{repo_name}/contents/{path_to_file}'
req = requests.get(url)
if req.status_code == requests.codes.ok:
    req = req.json()  # the response is a JSON
    # req is now a dict with keys: name, encoding, url, size ...
    # and content. But it is encoded with base64.
    content = base64.decodestring(req['content'])
else:
    print('Content was not found.')

View solution in original post

5 REPLIES 5

Jiri_Koutny
New Contributor III

Thanks @Kaniz Fatma​  for quick reply. Looking forward to the answers 🙂

Jiri_Koutny
New Contributor III

imageWe definitely work with Python files in Databricks Repos, not with local files.

Sandeep
Contributor III

@Jiri Koutny​ Alternatively, using export API, you can download it and use

curl -n -o example.scala \

'https://<databricks-instance>/api/2.0/workspace/export?path=/Users/user@example.com/ScalaExampleNotebook&direct_download=true'

Documentation https://docs.databricks.com/dev-tools/api/latest/workspace.html#export

Jiri_Koutny
New Contributor III

Hi Sandeep, is it really possible to download files (not notebooks) from Repos using the export API? Last time I tried, only notebooks were exported and all files were skipped...

User16871418122
Contributor III

Hi @Jiri Koutny​ these files anyway should be synced to your remote repository (git, bitbucket, GitLab etc). The APIs from version control tools Git API for example might help you achieve what you want.

https://stackoverflow.com/questions/38491722/reading-a-github-file-using-python-returns-html-tags

#!/usr/bin/env python3
import base64
import requests
 
 
url = 'https://api.github.com/repos/{user}/{repo_name}/contents/{path_to_file}'
req = requests.get(url)
if req.status_code == requests.codes.ok:
    req = req.json()  # the response is a JSON
    # req is now a dict with keys: name, encoding, url, size ...
    # and content. But it is encoded with base64.
    content = base64.decodestring(req['content'])
else:
    print('Content was not found.')

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