Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

fix!: add serde derives for more types #112

Merged
merged 1 commit into from
Sep 22, 2024
Merged

fix!: add serde derives for more types #112

merged 1 commit into from
Sep 22, 2024

Conversation

sd2k
Copy link
Collaborator

@sd2k sd2k commented Sep 22, 2024

This is a breaking change because it changes the definition of some types
so that they make more sense.

Specifically, OutlierOutput::outlying_series is now a BTreeSet to preserve
order, and OutlierIntervals::intervals is now a Vec<OutlierInterval> instead
of a Vec<usize>, to make it more easily usable.

Summary by CodeRabbit

  • New Features

    • Enhanced DistanceMatrix struct with conditional serialization and deserialization support.
    • Introduced OutlierInterval struct for better representation of outlier intervals.
    • Added flatten_intervals function for streamlined processing of outlier intervals.
  • Improvements

    • Replaced HashSet with BTreeSet for ordered outlier series.
    • Simplified outlier interval conversion logic.
  • Documentation

    • Added serde_json as a development dependency for improved JSON handling in the development environment.

This is a breaking change because it changes the definition of some types
so that they make more sense.

Specifically, `OutlierOutput::outlying_series` is now a `BTreeSet` to preserve
order, and `OutlierIntervals::intervals` is now a `Vec<OutlierInterval>` instead
of a `Vec<usize>`, to make it more easily usable.
Copy link
Contributor

coderabbitai bot commented Sep 22, 2024

Walkthrough

The pull request introduces several modifications across multiple files in the augurs project. Key changes include the conditional implementation of serialization for the DistanceMatrix struct, the transition from HashSet to BTreeSet for managing outlier indices, and the addition of a new OutlierInterval struct to better represent outlier intervals. Additionally, a new development dependency on serde_json is added, and test cases are updated to reflect these structural changes.

Changes

File Path Change Summary
crates/augurs-core/src/distance.rs Added conditional serialization and deserialization for DistanceMatrix.
crates/augurs-js/src/outlier.rs Replaced HashSet with BTreeSet in OutlierOutput, refactored interval conversion logic, and added a From implementation for OutlierInterval.
crates/augurs-outlier/Cargo.toml Introduced serde_json as a development dependency.
crates/augurs-outlier/src/dbscan.rs Updated test module to use flatten_intervals for processing outlier indices.
crates/augurs-outlier/src/lib.rs Modified OutlierOutput and OutlierIntervals structures, added OutlierInterval struct, and updated the detect method signature in the OutlierDetector trait.
crates/augurs-outlier/src/mad.rs Updated test case to use flatten_intervals for assertions on outlier intervals.
crates/augurs-outlier/src/testing.rs Added flatten_intervals function to convert OutlierInterval slices into a flat vector of indices.

Possibly related PRs

Suggested labels

bug

Poem

🐰 In the meadow where bunnies play,
Changes hop in, brightening the day.
With BTree sets and intervals new,
Our code dances, fresh as the dew.
Serialization's here, oh what a treat,
In the world of augurs, we can't be beat! 🌼


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
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>, please review it.
    -- 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 gather interesting stats about this repository and render them as a table. Additionally, render a pie chart showing the language distribution in the codebase.
    -- @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.

Copy link
Contributor

@coderabbitai coderabbitai bot left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Actionable comments posted: 2

Outside diff range and nitpick comments (1)
crates/augurs-outlier/src/lib.rs (1)

273-293: Enhance test coverage for serialization

In the serialize test, consider adding cases with intervals where end is Some(usize) to ensure serialization handles both open and closed intervals correctly.

Review details

Configuration used: CodeRabbit UI
Review profile: CHILL

Commits

Files that changed from the base of the PR and between 7d27a33 and 1aa346b.

Files selected for processing (7)
  • crates/augurs-core/src/distance.rs (1 hunks)
  • crates/augurs-js/src/outlier.rs (4 hunks)
  • crates/augurs-outlier/Cargo.toml (1 hunks)
  • crates/augurs-outlier/src/dbscan.rs (3 hunks)
  • crates/augurs-outlier/src/lib.rs (7 hunks)
  • crates/augurs-outlier/src/mad.rs (2 hunks)
  • crates/augurs-outlier/src/testing.rs (2 hunks)
Additional comments not posted (19)
crates/augurs-outlier/Cargo.toml (1)

27-28: LGTM!

Adding serde_json as a development dependency is a valid change. It expands the development environment by including a library for JSON serialization and deserialization, which can be useful for testing and development purposes. The specified version is a stable release, ensuring compatibility and reliability.

This change does not affect the existing functionality of the crate and is limited to the development environment, making it a safe addition.

crates/augurs-core/src/distance.rs (1)

20-20: Conditional serialization support for DistanceMatrix struct.

The addition of the #[cfg_attr(feature = "serde", derive(serde::Serialize, serde::Deserialize))] attribute to the DistanceMatrix struct is a great improvement. It allows instances of DistanceMatrix to be serialized and deserialized when the "serde" feature is enabled, enhancing the struct's functionality for data interchange formats such as JSON.

The conditional compilation ensures that the serde dependencies are only included when needed, keeping the dependencies minimal when serialization is not required. This provides flexibility to enable or disable serialization support based on the project's requirements.

crates/augurs-js/src/outlier.rs (4)

274-279: LGTM!

The change simplifies the conversion logic by directly mapping augurs_outlier::OutlierInterval instances to OutlierInterval without the intermediate vector. This aligns with the AI-generated summary and improves the clarity of the code.


295-301: LGTM!

The From implementation for OutlierInterval directly maps augurs_outlier::OutlierInterval instances to OutlierInterval, streamlining the conversion process. This change aligns with the AI-generated summary and enhances the clarity and efficiency of the code by simplifying the conversion logic.


1-1: LGTM!

The import of BTreeSet from the std::collections module aligns with the AI-generated summary, which mentions that HashSet has been replaced with BTreeSet for the outlying_series field in the OutlierOutput struct. Using BTreeSet is appropriate when the order of outlier indices is important, as it maintains its elements in sorted order.


310-310: Verify the impact of the change on the codebase.

The change from HashSet<usize> to BTreeSet<usize> for the outlying_series field in the OutlierOutput struct aligns with the AI-generated summary. Using BTreeSet is appropriate when the order of outlier indices is important, as it maintains its elements in sorted order.

However, it's important to ensure that this change is consistently applied throughout the codebase and that any dependent code is updated accordingly, as the order of elements will now be preserved.

Run the following script to verify the usage of outlying_series field:

Verification successful

The update to BTreeSet<usize> for outlying_series is consistently applied across the codebase. No issues detected.

Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Description: Verify the usage of `outlying_series` field in the codebase.

# Test: Search for the usage of `outlying_series` field. Expect: Consistent usage with `BTreeSet`.
rg --type rust -A 5 $'outlying_series'

Length of output: 4138

crates/augurs-outlier/src/testing.rs (1)

880-891: LGTM!

The flatten_intervals function looks good. It correctly converts an OutlierIntervals to a list of indices by iterating over the intervals, collecting the start and end indices (if present), and flattening them into a single vector. The use of iter(), flat_map(), and collect() is idiomatic and efficient.

crates/augurs-outlier/src/mad.rs (1)

Line range hint 386-716: LGTM!

The changes in the test code, including the updated import statement and the flattening of intervals before comparison, appear to be a valid refactoring to accommodate the new structure of outlier_intervals. The test coverage and correctness are maintained.

crates/augurs-outlier/src/dbscan.rs (4)

360-360: LGTM!

The import statement has been updated to include the flatten_intervals function from the testing module, which is necessary to support the changes made in the test cases.


519-525: LGTM!

The changes to the iteration over outlier indices simplify the logic and improve readability by using the flattened indices obtained from flatten_intervals. The usage of iter and next() on the flattened indices is more idiomatic and consistent with the introduction of flatten_intervals in the import statement.


602-606: LGTM!

The assertions have been updated to retrieve indices from the flattened intervals, ensuring that they remain valid under the new implementation. The changes are consistent with the modifications made to the iteration logic.


608-614: LGTM!

The assertions have been updated to use the flattened indices, ensuring that they access the correct values. The usage of array indexing is consistent with the flattened structure of the indices, and the assertions remain valid in testing the expected behavior of the outlier detection.

crates/augurs-outlier/src/lib.rs (7)

4-4: LGTM: Importing BTreeSet to preserve order

The import of BTreeSet is appropriate for ensuring the order of outlying series is preserved, aligning with the PR objectives.


41-42: Enable serialization for OutlierOutput struct

Adding serde serialization attributes allows OutlierOutput to be serialized consistently, which is beneficial for data interchange.


45-47: Update outlying_series to use BTreeSet

Changing outlying_series to a BTreeSet<usize> ensures that the series indices are ordered, which can be important for downstream processing.


83-84: Enable serialization for Series struct

Adding serde serialization attributes to the Series struct facilitates consistent serialization of series results.


134-138: Refactor OutlierIntervals to use intervals and enable serialization

Replacing indices with intervals: Vec<OutlierInterval> provides a more structured and clear representation of outlier intervals. Serialization attributes enable consistent data exchange.


141-141: Exclude internal state expecting_end from serialization

Using #[cfg_attr(feature = "serde", serde(skip))] appropriately omits the internal expecting_end flag from serialized output, preventing exposure of internal logic.


182-196: Add OutlierInterval struct for clearer interval representation

Introducing OutlierInterval struct enhances the clarity and usability of outlier intervals, allowing for explicit start and optional end indices.

Comment on lines +158 to +162

self.intervals.push(OutlierInterval {
start: ts,
end: None,
});
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Improve error handling in add_start method

The use of debug_assert! means the check is only active in debug builds. Consider using assert! or returning a Result to ensure that invalid states are caught in release builds as well.

Comment on lines +171 to +177

match self.intervals.last_mut() {
Some(x @ OutlierInterval { end: None, .. }) => {
x.end = Some(ts);
}
_ => unreachable!("tried to add end to an open-ended interval"),
};
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Improve error handling in add_end method

Similar to add_start, using debug_assert! and unreachable! may not catch errors in release builds. Consider explicit error handling to prevent potential panics in production.

@sd2k sd2k merged commit d46c954 into main Sep 22, 2024
20 checks passed
@sd2k sd2k deleted the add-serde-derives branch September 22, 2024 11:34
@sd2k sd2k mentioned this pull request Sep 22, 2024
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

1 participant