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feat: import datasets #7

Merged
merged 8 commits into from
Sep 1, 2024
Merged

feat: import datasets #7

merged 8 commits into from
Sep 1, 2024

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jo-elimu
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@jo-elimu jo-elimu commented Sep 1, 2024

closes #6

Summary by CodeRabbit

  • New Features

    • Introduced a GitHub Actions workflow for automated testing and linting across multiple Python versions.
    • Added a new script to orchestrate data preparation, model training, and prediction in a machine learning pipeline.
    • Implemented a script to automate the download and processing of storybook datasets.
  • Documentation

    • Updated the README for clarity, emphasizing the model's purpose and improving navigation with specific steps.
    • Changed the project title for consistency and enhanced the footer's visual appeal.
  • Chores

    • Added Pandas as a dependency for improved data manipulation capabilities.

@jo-elimu jo-elimu self-assigned this Sep 1, 2024
@jo-elimu jo-elimu requested a review from a team as a code owner September 1, 2024 07:07
@jo-elimu jo-elimu linked an issue Sep 1, 2024 that may be closed by this pull request
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coderabbitai bot commented Sep 1, 2024

Walkthrough

The changes introduce a new GitHub Actions workflow for continuous integration that runs tests and linting across multiple Python versions. Updates to the README.md clarify the project's purpose and usage, while the addition of the run_all_steps.py script orchestrates a machine learning pipeline involving data preparation, model training, and prediction steps. Furthermore, a new script for downloading datasets has been added.

Changes

Files Change Summary
.github/workflows/run-all-steps.yml New workflow configuration for GitHub Actions to run tests and linting across Python versions.
README.md Updated text for clarity, changed model focus from "rating" to "likability," added usage notes, and replaced "TODO" placeholders with specific step references.
requirements.txt Added dependency pandas==2.2.2 for data manipulation and analysis.
run_all_steps.py New script to manage a sequential process for data preparation, model training, and prediction.
step1_prepare/step1_1_download_data.py New script to download and process CSV datasets related to storybooks and learning events.

Recent review details

Configuration used: CodeRabbit UI
Review profile: CHILL

Commits

Files that changed from the base of the PR and between a2d94b9 and 54f0f14.

Files ignored due to path filters (2)
  • step1_prepare/step1_1_storybook_learning_events.csv is excluded by !**/*.csv
  • step1_prepare/step1_1_storybooks.csv is excluded by !**/*.csv
Files selected for processing (6)
  • .github/workflows/run-all-steps-nightly.yml (1 hunks)
  • .github/workflows/run-all-steps.yml (1 hunks)
  • README.md (1 hunks)
  • requirements.txt (1 hunks)
  • run_all_steps.py (1 hunks)
  • step1_prepare/step1_1_download_data.py (1 hunks)
Files skipped from review as they are similar to previous changes (1)
  • .github/workflows/run-all-steps.yml
Additional context used
Ruff
run_all_steps.py

6-6: step1_prepare.step1_1_download_data imported but unused

Remove unused import: step1_prepare.step1_1_download_data

(F401)

Markdownlint
README.md

5-5: null
Blank line inside blockquote

(MD028, no-blanks-blockquote)


29-29: null
Images should have alternate text (alt text)

(MD045, no-alt-text)

Additional comments not posted (12)
requirements.txt (1)

1-1: LGTM!

The requirements.txt file is correctly formatted and specifies the exact version of the pandas library, which is a popular data manipulation library in Python. This aligns with the project's purpose of dataset management.

run_all_steps.py (1)

13-13: Complete steps 2 and 3.

The script contains TODO comments for steps 2 and 3, indicating that the implementation is incomplete. Please complete these steps to ensure the script can run the entire machine learning pipeline.

Do you want me to generate the code for steps 2 and 3 or open a GitHub issue to track this task?

Also applies to: 18-18

step1_prepare/step1_1_download_data.py (1)

1-16: LGTM!

The step1_prepare/step1_1_download_data.py file is correctly formatted and follows the naming convention for the script files in the project. It uses the pandas library to read the CSV data into DataFrames and write them to local files, which is a common pattern for data manipulation in Python.

.github/workflows/run-all-steps-nightly.yml (7)

3-5: LGTM!

The schedule configuration is correct and follows the best practice of running nightly jobs at a specific time.


7-9: LGTM!

The job configuration is standard and appropriate for running the workflow on GitHub-hosted runners.


11-11: LGTM!

Using the actions/checkout action is necessary to clone the repository and access the codebase. Pinning the action to version 4 ensures consistency and reproducibility.


13-16: LGTM!

Using the actions/setup-python action is a standard way to set up a specific Python version in GitHub Actions workflows. Pinning the action to version 3 ensures consistency and reproducibility. Python 3.11 is a recent version and is appropriate for the project.


18-22: LGTM!

Upgrading pip ensures that the latest version is used, which is a good practice. Installing flake8 is necessary for the linting step. Installing dependencies from requirements.txt is a standard way to manage project dependencies.


24-29: LGTM!

Running flake8 is a good practice to ensure code quality and consistency. The selected options are appropriate for catching common issues and enforcing coding standards.


31-33: LGTM!

Running the main script is the core purpose of the workflow. The script name suggests that it orchestrates the entire pipeline.

README.md (2)

6-8: LGTM!

The added note provides important information about the model's intended use and the required storage format. This is valuable context for users of the repository.


29-29: Add alternate text for the image.

The image should have alternate text (alt text) to improve accessibility and provide a textual description of the image for users who cannot see it.

Apply this diff to add alternate text for the image:

-  <img src="https://github.com/elimu-ai/webapp/blob/main/src/main/webapp/static/img/logo-text-256x78.png" />
+  <img src="https://github.com/elimu-ai/webapp/blob/main/src/main/webapp/static/img/logo-text-256x78.png" alt="elimu.ai logo" />

Likely invalid or redundant comment.

Tools
Markdownlint

29-29: null
Images should have alternate text (alt text)

(MD045, no-alt-text)


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Actionable comments posted: 3

run_all_steps.py Show resolved Hide resolved
run_all_steps.py Outdated Show resolved Hide resolved
README.md Show resolved Hide resolved
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Actionable comments posted: 0

Outside diff range, codebase verification and nitpick comments (2)
.github/workflows/run-all-steps.yml (2)

26-31: Improve the linting step by failing the job if there are linting errors.

The job doesn't fail if there are linting errors. This can be improved by removing the --exit-zero flag from the second flake8 command.

Apply this diff to improve the linting step:

     # stop the build if there are Python syntax errors or undefined names
     flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
-    # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
-    flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
+    # The GitHub editor is 127 chars wide
+    flake8 . --count --max-complexity=10 --max-line-length=127 --statistics

35-37: Incomplete Implementation in run_all_steps.py

The run_all_steps.py script partially implements its intended functionality by executing data preparation steps. However, the sections for model training and prediction are marked as TODO and need to be completed for the script to function as intended.

  • Implement the model training logic in the Step 2. Train Model section.
  • Implement the prediction logic in the Step 3. Make Prediction section.
Analysis chain

Verify that the run_all_steps.py script exists and does what it's supposed to do.

The job runs a script named run_all_steps.py. However, the script is not provided for review.

Run the following script to verify that the script exists:

If the script exists, review it to ensure that it does what it's supposed to do.

Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Description: Verify that the `run_all_steps.py` script exists.

# Test: Check if the script exists. Expect: The script exists.
fd run_all_steps.py

Length of output: 38


Script:

#!/bin/bash
# Description: Retrieve the contents of the `run_all_steps.py` script for review.

# Display the contents of the script.
cat run_all_steps.py

Length of output: 600

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Actionable comments posted: 1

Outside diff range, codebase verification and nitpick comments (1)
step1_prepare/step1_1_download_data.py (1)

6-6: Consider removing print statements in production code.

The file contains print statements that output the URLs and the DataFrames for debugging purposes. While these can be helpful during development, they may not be necessary in production code.

Consider removing the print statements or adding a flag to conditionally execute them based on the environment (e.g., development vs. production).

Also applies to: 8-8, 13-13, 15-15

run_all_steps.py Show resolved Hide resolved
@jo-elimu jo-elimu merged commit 1519898 into main Sep 1, 2024
3 checks passed
@jo-elimu jo-elimu deleted the 6-import-datasets branch September 1, 2024 07:51
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Import datasets
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