Releases · runpod/runpod-python

12 Apr 04:22

justinmerrell

0.9.2

9510c09

0.9.2

Improvements

General code cleanup and refactoring
Improved documentation with end-to-end examples
Removed outdated docs
Enhanced logging verbosity for a better developer experience

Expanded Worker Functions

refresh_worker can now be set within the start_work configuration

Download Utility

(BREAKING CHANGE) Renamed download_input_objects to download_files_from_urls for additional clarity
download_files_from_urls now requires the additional input parameter job_id
Enhanced download_files_from_urls to support both string input and list of strings
Improved download_files_from_urls performance by downloading files in parallel
download_files_from_urls now saves files to jobs/{job_id}/downloaded_files
download_files_from_urls uses the file name from URL as a fallback if unavailable in Content-Disposition

Upload Utility

(BREAKING CHANGE) Renamed file to upload_file_to_bucket for added clarity
(NEW) Added upload_in_memory_object to upload files directly from memory to bucket storage
Ability to define bucket name and file path

Housekeeping

Future releases will automatically be versioned with the GitHub tag

What's Changed

Async serverless runner by @SkullMag in #15

New Contributors

@SkullMag made their first contribution in #15

Full Changelog: 0.9.1...0.9.2

Contributors

SkullMag

Assets 2

16 Mar 18:27

justinmerrell

0.9.1

494b788

0.9.1

SDK

Improved verbose feedback

Upload Utility

Faster file uploads

Download Utility

Accepts URLs that have file attachments vs only files in paths

Upload Utility

Upload status shown when uploading file to S3 bucket

Language Library - Endpoints

Endpoints can now be interacted with natively within Python

import runpod

runpod.api_key = "YOUR_API_KEY"
endpoint = runpod.Endpoint("ENDPOINT_ID")

run_request = endpoint.run(
    {"YOUR_MODEL_INPUT_JSON": "YOUR_MODEL_INPUT_VALUE"}
)

# Check the status of the endpoint run request
print(run_request.status())

# Get the output of the endpoint run request, blocking until the endpoint run is complete.
print(run_request.output())

import runpod

runpod.api_key = "YOUR_API_KEY"
endpoint = runpod.Endpoint("ENDPOINT_ID")

run_request = endpoint.run_sync(
    {"YOUR_MODEL_INPUT_JSON": "YOUR_MODEL_INPUT_VALUE"}
)

# Returns the job results if completed within 90 seconds, otherwise, returns the job status.
print(run_request )

Full Changelog: 0.8.4...0.9.1

Assets 2

21 Feb 20:59

justinmerrell

0.8.5

438e84d

0.9.0

New Feature:

Returning "refresh_worker" in the output will trigger the worker to terminate at the end of the job.

Validation Utility:

(BREAKING CHANGE) runpod.serverless.utils.validator renamed to runpod.serverless.utils.rp_validator
(BREAKING CHANGE) The validator utility now returns an object with "errors" that contains the list of errors or "validated_input" with a cleaned input based on the provided schema.

Download Utility:

(BREAKING CHANGE) runpod.serverless.utils.download renamed to runpod.serverless.utils.rp_download
Added single file downloader and extractor with improved object based return.

Upload Utility:

(BREAKING CHANGE) runpod.serverless.utils.upload renamed to runpod.serverless.utils.rp_upload`
Added single file upload functionality

Improvement:

Errors that are raised by the handler are marked. Additionally, traceback is also provided.
Tips have been introduced to assist users in developing their endpoints.

Refactor: