refactor: change datasource

[jo-elimu]

Fetch storybook learning events from a more up-to-date datasource.

Directly from http://hin.elimu.ai/analytics/storybook-learning-event/list

Which issue does this PR address?

Resolves #6

Summary by CodeRabbit

• New Features
  • Updated URLs for downloading CSV files, improving data retrieval processes.
• Bug Fixes
  • Simplified URL format for storybooks CSV to enhance accessibility.
  • Changed endpoint for storybook learning events CSV to ensure reliable data sourcing.

[coderabbitai]

Walkthrough

The changes involve updates to the URLs used for downloading CSV files in the step1_prepare/step1_1_download_data.py script. The storybooks CSV URL has been simplified by removing parentheses, and the storybook learning events CSV URL has been changed to a different HTTP endpoint. These modifications affect data retrieval processes while maintaining the existing logic for reading and writing CSV files.

Changes

Files	Change Summary
step1_prepare/step1_1_download_data.py	Updated URLs for downloading storybooks and storybook learning events CSV files; simplified URL format for storybooks.

---

Recent review details

Configuration used: CodeRabbit UI
Review profile: CHILL

Commits

Files that changed from the base of the PR and between f316e4a and ad5eba4.

Files selected for processing (1)

• step1_prepare/step1_1_download_data.py (1 hunks)

Additional comments not posted (2)

step1_prepare/step1_1_download_data.py (2)

5-5: LGTM!

The code change simplifies the URL format without affecting the functionality.

---

12-12: Verify the impact of the data source change.

The code change updates the data source for storybook learning events, which is in line with the PR objective. However, please ensure that:

• The new data source provides the expected data format and content.
• The data processing logic in the subsequent steps is compatible with the new data.

Run the following script to verify the data format and content:

Verification successful

---

Data source change verified successfully.

The new data source for storybook learning events is compatible with the existing data processing logic. The DataFrame is correctly read from the new URL, and its usage in the codebase is straightforward and unaffected by the change.

• The CSV file from the new URL has the expected format and columns.
• The DataFrame is used only in step1_prepare/step1_1_download_data.py and is saved to a CSV file without further complex processing.

Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Description: Verify the format and content of the new storybook learning events data source.

# Test 1: Download and inspect the CSV file. Expect: Valid CSV file with expected columns.
curl -s -o storybook_learning_events.csv 'http://hin.elimu.ai/analytics/storybook-learning-event/list/storybook-learning-events.csv'
echo "Columns:"
head -n 1 storybook_learning_events.csv
echo -e "\nSample data:"
tail -n 5 storybook_learning_events.csv

# Test 2: Search for the usage of the DataFrame. Expect: Compatible usage in the subsequent steps.
rg --type python -A 5 $'storybook_learning_events_dataframe'

Length of output: 885

---

Script:

#!/bin/bash
# Corrected script to verify the usage of the DataFrame in the codebase.

# Search for the usage of the DataFrame in Python files.
rg --type py -A 5 'storybook_learning_events_dataframe'

Length of output: 473

---

Thank you for using CodeRabbit. We offer it for free to the OSS community and would appreciate your support in helping us grow. If you find it useful, would you consider giving us a shout-out on your favorite social media?

Share

• X
• Mastodon
• Reddit
• LinkedIn

Tips

Chat

There are 3 ways to chat with CodeRabbit:

• Review comments: Directly reply to a review comment made by CodeRabbit. Example:
  • I pushed a fix in commit <commit_id>.
  • Generate unit testing code for this file.
  • Open a follow-up GitHub issue for this discussion.
• Files and specific lines of code (under the "Files changed" tab): Tag @coderabbitai in a new review comment at the desired location with your query. Examples:
  • @coderabbitai generate unit testing code for this file.
  • @coderabbitai modularize this function.
• PR comments: Tag @coderabbitai in a new PR comment to ask questions about the PR branch. For the best results, please provide a very specific query, as very limited context is provided in this mode. Examples:
  • @coderabbitai generate interesting stats about this repository and render them as a table.
  • @coderabbitai show all the console.log statements in this repository.
  • @coderabbitai read src/utils.ts and generate unit testing code.
  • @coderabbitai read the files in the src/scheduler package and generate a class diagram using mermaid and a README in the markdown format.
  • @coderabbitai help me debug CodeRabbit configuration file.

Note: Be mindful of the bot's finite context window. It's strongly recommended to break down tasks such as reading entire modules into smaller chunks. For a focused discussion, use review comments to chat about specific files and their changes, instead of using the PR comments.

CodeRabbit Commands (Invoked using PR comments)

• @coderabbitai pause to pause the reviews on a PR.
• @coderabbitai resume to resume the paused reviews.
• @coderabbitai review to trigger an incremental review. This is useful when automatic reviews are disabled for the repository.
• @coderabbitai full review to do a full review from scratch and review all the files again.
• @coderabbitai summary to regenerate the summary of the PR.
• @coderabbitai resolve resolve all the CodeRabbit review comments.
• @coderabbitai configuration to show the current CodeRabbit configuration for the repository.
• @coderabbitai help to get help.

Other keywords and placeholders

• Add @coderabbitai ignore anywhere in the PR description to prevent this PR from being reviewed.
• Add @coderabbitai summary to generate the high-level summary at a specific location in the PR description.
• Add @coderabbitai anywhere in the PR title to generate the title automatically.

CodeRabbit Configuration File (.coderabbit.yaml)

• You can programmatically configure CodeRabbit by adding a .coderabbit.yaml file to the root of your repository.
• Please see the configuration documentation for more information.
• If your editor has YAML language server enabled, you can add the path at the top of this file to enable auto-completion and validation: # yaml-language-server: $schema=https://coderabbit.ai/integrations/schema.v2.json

Documentation and Community

• Visit our Documentation for detailed information on how to use CodeRabbit.
• Join our Discord Community to get help, request features, and share feedback.
• Follow us on X/Twitter for updates and announcements.

Early access features: disabled

We are currently testing the following features in early access:

• Anthropic claude-3-5-sonnet for code reviews: Anthropic claims that the new Claude model has stronger code understanding and code generation capabilities than their previous models. Note: Our default code review model was also updated late last week. Please compare the quality of the reviews between the two models by toggling the early access feature.

Note:

• You can enable or disable early access features from the CodeRabbit UI or by updating the CodeRabbit configuration file.
• Please join our Discord Community to provide feedback and report issues on the discussion post.