feat(Pipelines) synthetic dataframe pipeline (Sourcery refactored) #703
Conversation
This file contains 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
![sourcery-ai[bot]](https://avatars.githubusercontent.com/in/48477?s=60&v=4){kind=small}
| data = namespace["df"] | ||
|
|
||
| return data | ||
|
|
||
| return namespace["df"] |
There was a problem hiding this comment.
Function SDFCodeExecutor.execute refactored with the following changes:
- Inline variable that is immediately returned (
inline-immediately-returned-variable)
Comment on lines
-28
to
-32
| prompt = GenerateSyntheticDfPrompt( | ||
| amount=self._amount, dataframe=context.dfs[kwargs.get("dataframe_index", 0)] | ||
| return GenerateSyntheticDfPrompt( | ||
| amount=self._amount, | ||
| dataframe=context.dfs[kwargs.get("dataframe_index", 0)], | ||
| ) | ||
|
|
||
| return prompt |
There was a problem hiding this comment.
Function SyntheticDataframePrompt.execute refactored with the following changes:
- Inline variable that is immediately returned (
inline-immediately-returned-variable)
|
Important Auto Review SkippedBot user detected. To trigger a single review, invoke the TipsChat with CodeRabbit Bot (
|
Codecov Report
❗ Your organization needs to install the Codecov GitHub app to enable full functionality. @@ Coverage Diff @@
## feat/pipelines_synthetic_df #703 +/- ##
==============================================================
Coverage ? 84.49%
==============================================================
Files ? 81
Lines ? 3709
Branches ? 0
==============================================================
Hits ? 3134
Misses ? 575
Partials ? 0 📣 We’re building smart automated test selection to slash your CI/CD build times. Learn more |
gventuri
added a commit
that referenced
this pull request
Nov 1, 2023
* feat(pipeline): Add pipeline to generate synthetic dataframe * chore(pipeline): maintain documentation and other flows * feat(Pipeline): test case for pipeline * feat(cache): adding cache in pipeline context and fix leftovers * chore(pipeline): rename and add dependency * update poetry lock file * refactor: minor changes from the code review Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com> * chore: update pipeline_context.py * chore: use PandasAI logger instead of default one * refactor: prompt for synthetic data now accepts the amount params * remove extra print statement * 'Refactored by Sourcery' (#703) Co-authored-by: Sourcery AI <> * chore(pipeline): improve pipeline usage remove passing config to pipeline * feat: config plot libraries (#705) * In this commit, I introduced a new configuration parameter in our application settings that allows users to define their preferred data visualization library (matplotlib, seaborn, or plotly). With this update, I've eliminated the need for the user to specify in every prompt which library to use, thereby simplifying their interaction with the application and increasing its versatility. * This commit adds a configuration parameter for users to set their preferred data visualization library (matplotlib, seaborn, or plotly), simplifying interactions and enhancing the application's versatility. * viz_library_type' in test_generate_python_code_prompt.py, resolved failing tests --------- Co-authored-by: sabatino.severino <qrxqfspfibrth6nxywai2qifza6jmskt222howzew43risnx4kva> Co-authored-by: Gabriele Venturi <[email protected]> * build: use ruff for formatting * feat: add add_message method to the agent * Release v1.4.3 * feat: workspace env (#717) * fix(chart): charts to save to save_chart_path * refactor sourcery changes * 'Refactored by Sourcery' * refactor chart save code * fix: minor leftovers * feat(workspace_env): add workspace env to store cache, temp chart and config * add error handling and comments --------- Co-authored-by: Sourcery AI <> --------- Co-authored-by: Gabriele Venturi <[email protected]> Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com> Co-authored-by: sourcery-ai[bot] <58596630+sourcery-ai[bot]@users.noreply.github.com> Co-authored-by: Sab Severino <[email protected]>
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.
Pull Request #688 refactored by Sourcery.
If you're happy with these changes, merge this Pull Request using the Squash and merge strategy.
NOTE: As code is pushed to the original Pull Request, Sourcery will
re-run and update (force-push) this Pull Request with new refactorings as
necessary. If Sourcery finds no refactorings at any point, this Pull Request
will be closed automatically.
See our documentation here.
Run Sourcery locally
Reduce the feedback loop during development by using the Sourcery editor plugin:
Review changes via command line
To manually merge these changes, make sure you're on the
feat/pipelines_synthetic_dfbranch, then run:Help us improve this pull request!