Add fetch_task_data helper for retrieving task results#11
Merged
Conversation
Adds a convenience function that takes a task ID and returns the associated table data as a pandas DataFrame. This simplifies the common workflow of fetching completed task results. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
hnykda
pushed a commit
that referenced
this pull request
Jan 22, 2026
Adds a convenience function that takes a task ID and returns the associated table data as a pandas DataFrame. This simplifies the common workflow of fetching completed task results. Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Summary
fetch_task_data(task_id)helper function that takes a task ID and returns the associated table data as a pandas DataFramefrom everyrow import fetch_task_dataTest plan
from everyrow import fetch_task_data35dd0a48-29aa-4488-be7b-c988c352f560,114993e3-ad34-55c4-9099-8ea743bdf7ac) - both return expected DataFrame🤖 Generated with Claude Code