Implement stubbed backend APIs for model list, search and time series #22
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WalkthroughThe pull request introduces several new components to the application, including multiple controller classes for handling various API endpoints related to models and time series data. It updates the project's build configuration to include new library dependencies for JSON handling with Circe and modifies testing frameworks. Additionally, a new configuration file is added to manage application settings, and unit tests are introduced for the new controllers to ensure proper functionality. Changes
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Actionable comments posted: 11
🧹 Outside diff range and nitpick comments (18)
hub/app/controllers/ApplicationController.scala (2)
1-5: Consider using more specific imports.While the current imports are valid, consider replacing the wildcard import
play.api.mvc._with more specific imports for better code clarity and to avoid potential naming conflicts. For example:import play.api.mvc.{Action, AnyContent, BaseController, ControllerComponents, Request}This approach makes it clearer which components from the
mvcpackage are being used in the controller.
11-14: LGTM: Simple and effective ping implementation.The
ping()method is correctly implemented:
- It returns an
Action[AnyContent]as expected for a Play controller method.- The response is a simple "pong!" string, which is appropriate for a basic health check.
Consider adding a content type to the response for better HTTP compliance:
Ok("pong!").as("text/plain")This explicitly sets the content type of the response to plain text.
hub/conf/application.test.conf (3)
4-4: LGTM! Consider adding a fallback for the secret key.Using an environment variable for the secret key is a good security practice. However, to prevent potential issues if the environment variable is not set, consider adding a fallback value for development purposes.
You could modify the line as follows:
-play.http.secret.key = ${?PLAY_HTTP_SECRET_KEY} +play.http.secret.key = "changeme" # Default for development +play.http.secret.key = ${?PLAY_HTTP_SECRET_KEY}This ensures a default value for development while still allowing it to be overridden by the environment variable in production.
5-5: LGTM! Consider future multi-language support.The configuration for internationalization is clear and straightforward. However, as the application grows, you might want to consider supporting multiple languages to improve accessibility.
For future development, you could expand this configuration to include more languages:
play.i18n.langs = ["en", "es", "fr", "de"]This would allow for easier integration of translations as your user base grows.
15-21: LGTM! Consider adding a comment about the current evolutions state.The commented-out configurations for disabling evolutions are clear and provide good flexibility. However, it might be helpful to add a comment explicitly stating that evolutions are currently enabled by default.
Consider adding a comment at the beginning of this section to clarify the current state:
# Evolutions # ~~~~~ # Evolutions are currently enabled by default. # You can disable evolutions if needed # play.evolutions.enabled=false # You can disable evolutions for a specific datasource if necessary # play.evolutions.db.default.enabled=falseThis addition would make the current configuration state more explicit for other developers.
hub/app/controllers/ModelController.scala (2)
16-26: LGTM: Mock data generation is well-implemented, but consider adding a TODO for future replacement.The mock data generation is clearly marked as temporary and provides a good variety of models for testing. The use of private methods and fields is appropriate for encapsulation.
Consider adding a TODO comment to remind about replacing the mock data with actual data from the KV store layer in the future. For example:
// temporarily serve up mock data while we wait on hooking up our KV store layer +// TODO: Replace mock data with actual data from KV store layer private[this] def generateMockModel(id: String): Model =
37-51: LGTM with suggestions: Implementation is solid, but could be improved.The implementation correctly handles pagination, performs basic input validation, and returns the data in the expected format. However, there are a few areas that could be improved:
Input validation could be more comprehensive. Consider adding an upper limit for the
limitparameter to prevent potential performance issues with very large requests.There's no explicit handling of the case where the offset is beyond the available data. In this case, an empty list will be returned, which might be confusing for API consumers.
The error messages for invalid inputs could be more informative, possibly including the actual value that caused the error.
Consider applying the following improvements:
def list(offset: Option[Int], limit: Option[Int]): Action[AnyContent] = Action { implicit request: Request[AnyContent] => // Default values if the parameters are not provided val offsetValue = offset.getOrElse(defaultOffset) val limitValue = limit.getOrElse(defaultLimit) + val maxLimit = 100 // Define a maximum limit to prevent performance issues if (offsetValue < 0) { - BadRequest("Invalid offset - expect a positive number") + BadRequest(s"Invalid offset: $offsetValue. Expected a non-negative number.") } else if (limitValue < 0) { - BadRequest("Invalid limit - expect a positive number") + BadRequest(s"Invalid limit: $limitValue. Expected a positive number.") + } else if (limitValue > maxLimit) { + BadRequest(s"Invalid limit: $limitValue. Maximum allowed limit is $maxLimit.") } else { val paginatedResults = mockModelRegistry.slice(offsetValue, offsetValue + limitValue) + if (paginatedResults.isEmpty && offsetValue > 0) { + NotFound(s"No results found for offset: $offsetValue") + } else { val json = ListModelResponse(offsetValue, paginatedResults).asJson.noSpaces Ok(json) + } } }These changes improve input validation, add handling for out-of-range offsets, and provide more informative error messages.
hub/test/controllers/ModelControllerSpec.scala (4)
1-20: LGTM! Consider organizing imports for better readability.The imports and class declaration look good. The necessary components for testing are properly set up.
Consider organizing the imports for better readability. You can group them by their source:
// Play and ScalaTest imports import org.scalatestplus.play._ import play.api.http.Status.{BAD_REQUEST, OK} import play.api.mvc._ import play.api.test.Helpers._ import play.api.test._ // Circe imports import io.circe._ import io.circe.generic.auto._ import io.circe.parser._ // Application-specific imports import model.ListModelResponse import org.scalatest.EitherValues
29-32: LGTM! Consider parameterized tests for edge cases.This test case correctly verifies that the controller returns a BAD_REQUEST status when given a negative limit. It's consistent with the previous test for bad offset.
Consider using ScalaTest's property-based testing or table-driven tests to cover more edge cases efficiently. For example:
"send 400 on invalid input" in { val invalidInputs = Table( ("offset", "limit"), (Some(-1), Some(10)), (Some(10), Some(-2)), (Some(-1), Some(-1)), (Some(Int.MinValue), Some(Int.MaxValue)) ) forAll(invalidInputs) { (offset, limit) => val result = controller.list(offset, limit).apply(FakeRequest()) status(result) mustBe BAD_REQUEST } }This approach allows you to test multiple invalid inputs in a single test case, improving test coverage and readability.
34-42: LGTM! Good validation of response content.This test case thoroughly checks the controller's behavior for a valid request with default parameters. It verifies both the response status and the content of the response body.
Consider adding a more descriptive error message for the JSON decoding step:
val listModelResponse: Either[Error, ListModelResponse] = decode[ListModelResponse](bodyText).valueOr(e => fail(s"Failed to decode JSON: ${e.getMessage}"))This will provide more context if the JSON decoding fails, making it easier to debug potential issues.
44-54: LGTM! Good test for pagination. Consider additional assertions and edge cases.This test case effectively verifies the pagination functionality of the controller. It checks the response status, number of items, and the correct ID range based on the provided offset and limit.
Consider the following improvements:
- Add assertions for the
totalandoffsetfields in theListModelResponse:val response = listModelResponse.value response.total mustBe (startOffset + number) // Assuming total is the last ID response.offset mustBe startOffset
Test edge cases for pagination, such as:
- Requesting more items than available
- Requesting with an offset larger than the total number of items
- Requesting with the maximum allowed limit
Consider using ScalaTest's property-based testing to generate various combinations of offset and limit values:
import org.scalacheck.Gen import org.scalatestplus.scalacheck.ScalaCheckPropertyChecks // ... in your test class forAll(Gen.choose(0, 100), Gen.choose(1, 50)) { (offset, limit) => val result = controller.list(Some(offset), Some(limit)).apply(FakeRequest()) status(result) mustBe OK // ... rest of your assertions }These improvements will enhance the test coverage and robustness of your pagination tests.
hub/test/controllers/SearchControllerSpec.scala (3)
33-41: LGTM with suggestion: Comprehensive test for valid request.This test case thoroughly checks the controller's behavior for a valid request, including:
- Verifying the 200 OK status
- Decoding the response body
- Checking the number of items matches the default limit
- Verifying the returned item IDs
Consider adding an assertion to check the
totalfield in theListModelResponse. This would ensure that the pagination metadata is also correct:listModelResponse.value.total mustBe (expectedTotalCount)Replace
expectedTotalCountwith the actual expected total count of models.
43-53: LGTM with suggestions: Good pagination test with room for improvement.This test case effectively verifies the pagination functionality of the search endpoint. It checks:
- The correct HTTP status (200 OK)
- The number of items returned matches the requested limit
- The IDs of the returned items are in the expected range
Consider the following improvements:
Add an assertion to check the
totalfield in theListModelResponse:listModelResponse.value.total mustBe (expectedTotalCount)Replace
expectedTotalCountwith the actual expected total count of models.Verify that the
nextOffsetfield in the response is correct:listModelResponse.value.nextOffset mustBe Some(startOffset + number)Add a test case with a limit larger than the total number of items to ensure correct behavior when reaching the end of the list.
These additions would provide more comprehensive coverage of the pagination functionality.
1-55: Overall good test coverage with suggestions for expansion.The
SearchControllerSpecprovides a solid foundation for testing theSearchController. It covers essential scenarios including error handling for invalid parameters, successful responses for valid requests, and basic pagination functionality.Consider adding the following test cases to improve coverage:
- Test with empty search term to ensure correct handling.
- Test with very large offset and limit values to check for any upper bounds.
- Test with special characters or SQL injection attempts in the search term to ensure proper sanitization.
- Test the behavior when no results are found for a given search term.
- Verify that the search is case-insensitive (if that's a requirement).
- Test with the maximum allowed limit to ensure it's enforced correctly.
Adding these cases would provide more comprehensive coverage and help catch potential edge cases or security issues.
build.sbt (1)
30-30: Summary of build.sbt changes and suggestions for follow-up.The changes to build.sbt are focused on adding Circe for JSON handling and updating the scalatestplus-play version. These modifications align well with the PR objectives of implementing stubbed backend APIs.
To ensure a smooth integration of these changes:
- Verify that the new Circe dependencies are properly utilized in the implementation of the stubbed APIs.
- Consider adding any necessary Circe-specific configurations to the project settings if required.
- After confirming test compatibility with the new scalatestplus-play version, update any relevant documentation about the project's testing setup.
Also applies to: 222-225
hub/app/model/Model.scala (1)
32-42: Consider clarifying the naming ofMetricand its case objects.To enhance clarity, you might consider renaming the
Metrictrait to better reflect its purpose, such asMetricRollup, since it represents different ways to aggregate metrics.hub/app/controllers/TimeSeriesController.scala (2)
326-329: Potential Performance Issue with Large Time RangesIn the
generateMockTimeSeriesPointsmethod, creating a sequence over a large time range using(startTs until endTs by (1.hours.toMillis))can lead to performance issues or memory exhaustion if the range betweenstartTsandendTsis significant.Consider adding a check to limit the number of points generated or adjusting the step size based on the range:
def generateMockTimeSeriesPoints(startTs: Long, endTs: Long): Seq[TimeSeriesPoint] = { val random = new Random(1000) + val maxPoints = 1000 + val step = ((endTs - startTs) / maxPoints).max(1.hours.toMillis) - (startTs until endTs by (1.hours.toMillis)).map(ts => TimeSeriesPoint(random.between(0, 0.5), ts)) + (startTs until endTs by step).map(ts => TimeSeriesPoint(random.between(0, 0.5), ts)) }This limits the number of generated points to a manageable size.
258-271: Maintain Consistent Variable Naming for ClarityIn the method
doFetchFeatureSkew, the variable namefeaturesTsis used, which is inconsistent withfeatureTsused elsewhere. This might cause confusion when reading the code.Consider renaming
featuresTstofeatureTsfor consistency:- val featuresTs = FeatureTimeSeries(name, generateMockTimeSeriesPercentilePoints(startTs, endTs)) - featuresTs.asJson.noSpaces + val featureTs = FeatureTimeSeries(name, generateMockTimeSeriesPercentilePoints(startTs, endTs)) + featureTs.asJson.noSpacesThis makes the variable naming consistent across the codebase.
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📒 Files selected for processing (11)
- build.sbt (2 hunks)
- hub/app/controllers/ApplicationController.scala (1 hunks)
- hub/app/controllers/ModelController.scala (1 hunks)
- hub/app/controllers/SearchController.scala (1 hunks)
- hub/app/controllers/TimeSeriesController.scala (1 hunks)
- hub/app/model/Model.scala (1 hunks)
- hub/conf/application.test.conf (1 hunks)
- hub/conf/routes (1 hunks)
- hub/test/controllers/ModelControllerSpec.scala (1 hunks)
- hub/test/controllers/SearchControllerSpec.scala (1 hunks)
- hub/test/controllers/TimeSeriesControllerSpec.scala (1 hunks)
🔇 Additional comments (25)
hub/app/controllers/ApplicationController.scala (2)
7-10: LGTM: Class definition follows Play Framework conventions.The
ApplicationControllerclass is well-structured:
- It correctly extends
BaseController.- Dependency injection is properly used for
ControllerComponents.- The class-level comment provides a clear description of the controller's purpose.
1-15: Overall assessment: Well-implemented controller for basic health check.The
ApplicationControlleris correctly implemented and follows Play Framework conventions. It provides a simple ping endpoint which can be useful for basic health checks or testing connectivity.Key points:
- Proper use of dependency injection and extension of
BaseController.- Clear and concise implementation of the
ping()method.Minor suggestions for improvement have been provided in previous comments, but these are not critical issues. The controller is functional and ready for use as is.
hub/conf/application.test.conf (1)
7-13: Verify the database configuration requirements.The database configuration is currently commented out. If this is intentional for the test configuration, it's fine. However, if a database is required for testing, you'll need to uncomment and possibly modify these lines.
Could you confirm if:
- A database is needed for the tests?
- If needed, is H2 in-memory database the intended choice?
- Are there any specific database settings required for the test environment?
hub/app/controllers/ModelController.scala (3)
1-14: LGTM: Imports and class definition are well-structured.The import statements and class definition follow best practices for Play Framework controllers. The use of dependency injection and the
@Singletonannotation is appropriate.
28-29: LGTM: Default pagination values are well-defined.The use of constants for default offset and limit values is a good practice. The values (0 for offset and 10 for limit) seem reasonable for initial pagination.
31-36: LGTM: Method signature and documentation are well-defined.The
listmethod signature is appropriate for a Play Framework controller action. The use of optional parameters foroffsetandlimitallows for flexible API usage. The documentation clearly explains the method's purpose and parameters.hub/test/controllers/ModelControllerSpec.scala (2)
24-27: LGTM! Good test for invalid offset.This test case correctly verifies that the controller returns a BAD_REQUEST status when given a negative offset. It's a good practice to test edge cases like this.
1-56: Overall, well-structured and comprehensive test suite. Consider suggested improvements for enhanced coverage.The
ModelControllerSpecprovides a solid foundation for testing theModelController. It covers essential scenarios including error handling and pagination. The tests are well-organized and use appropriate testing utilities from Play Framework and ScalaTest.To further improve the test suite, consider implementing the following suggestions:
- Organize imports for better readability.
- Use parameterized tests for edge cases, especially for input validation.
- Add more descriptive error messages for JSON decoding steps.
- Enhance pagination tests with additional assertions and edge cases.
- Explore property-based testing for more comprehensive input combination coverage.
These improvements will lead to a more robust and maintainable test suite, ensuring the reliability of the
ModelControlleras the project evolves.hub/test/controllers/SearchControllerSpec.scala (3)
1-20: LGTM: Imports and class setup look good.The import statements are appropriate for the test suite, including necessary libraries for JSON handling, testing frameworks, and Play Framework utilities. The class declaration extends the required traits for testing, and the stub ControllerComponents is correctly set up for isolated testing of the SearchController.
23-26: LGTM: Good edge case testing for bad offset.This test case correctly verifies that the controller returns a 400 BAD REQUEST status when provided with an invalid (negative) offset. This is an important edge case to cover in the test suite.
28-31: LGTM: Good edge case testing for bad limit.This test case properly verifies that the controller returns a 400 BAD REQUEST status when provided with an invalid (negative) limit. This is another important edge case to cover in the test suite.
hub/app/controllers/SearchController.scala (2)
1-9: LGTM: Package declaration and imports are appropriate.The package declaration and imports are well-structured and include all necessary components for the controller's functionality. The use of Circe for JSON handling is a good choice for Scala projects.
10-13: LGTM: Controller class declaration is well-structured.The
SearchControllerclass is correctly defined with proper dependency injection and extendsBaseControlleras expected in a Play Framework application.build.sbt (3)
30-30: LGTM: Addition of circeVersion.The addition of
circeVersionas a lazy val is a good practice for managing dependency versions in sbt. The version "0.14.9" appears to be the latest stable version of Circe at the time of this review.
223-225: LGTM: Addition of Circe dependencies.The addition of Circe dependencies (core, generic, and parser) is appropriate for implementing the stubbed backend APIs mentioned in the PR objectives. Circe is a well-regarded library for JSON handling in Scala. Using the previously defined
circeVersionfor all three dependencies ensures version consistency, which is a good practice.
222-222: Verify compatibility with updated scalatestplus-play version.The update from version "5.1.0" to "7.0.0" for scalatestplus-play is a significant version jump. While keeping dependencies up-to-date is generally good practice, please ensure that all existing tests are compatible with this new version.
To verify the compatibility, please run the test suite and confirm that all tests pass with the new version. You can use the following command:
hub/conf/routes (2)
2-4: Endpoints are correctly definedThe routes for
/api/v1/ping,/api/v1/models, and/api/v1/searchare properly specified and align with the expected functionality.
7-10: Endpoints are correctly definedThe routes for
/api/v1/join,/api/v1/join/slice,/api/v1/feature, and/api/v1/feature/sliceare properly specified and consistent with the application's API design.hub/app/model/Model.scala (6)
4-11: TheModelcase class is well-structured and comprehensive.The
Modelclass accurately captures all necessary attributes for machine learning models in Zipline.
14-21: Definition ofMetricTypeand its variants is appropriate.The sealed trait
MetricTypewithDriftandSkewcase objects is well-defined and allows for clear type safety.
23-30:DriftAlgorithmtrait and its implementations are correctly specified.The sealed trait
DriftAlgorithmwithPSIandKLcase objects appropriately represents the supported drift algorithms.
44-54:Granularitytrait and its variants are well-defined.The sealed trait
GranularitywithRaw,Percentile, andAggregatescase objects effectively represents the different data granularity levels.
55-58: Time series case classes are properly constructed.The case classes
TimeSeriesPoint,FeatureTimeSeries,RawComparedFeatureTimeSeries, andGroupByTimeSeriesare well-defined for handling time series data structures.
61-65: Response case classes are appropriately designed for API endpoints.The response classes
SearchModelResponse,ListModelResponse,ModelTimeSeriesResponse, andJoinTimeSeriesResponseare correctly structured to facilitate API responses.hub/app/controllers/TimeSeriesController.scala (1)
293-300: Verify the Mapping of "ooc" toSkewinparseMetricChoiceIn the
parseMetricChoicemethod, the string"ooc"is mapped toSome(Skew):case Some("ooc") => Some(Skew)Ensure that mapping
"ooc"(possibly "out of control") toSkewis intentional and accurately reflects the domain logic.Run the following script to check for other usages of
"ooc"and how it's handled:This will help confirm whether
"ooc"should map toSkewor if it requires a separate handling or enumeration.
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Actionable comments posted: 6
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📒 Files selected for processing (6)
- hub/app/controllers/ModelController.scala (1 hunks)
- hub/app/controllers/SearchController.scala (1 hunks)
- hub/app/controllers/TimeSeriesController.scala (1 hunks)
- hub/test/controllers/ModelControllerSpec.scala (1 hunks)
- hub/test/controllers/SearchControllerSpec.scala (1 hunks)
- hub/test/controllers/TimeSeriesControllerSpec.scala (1 hunks)
🚧 Files skipped from review as they are similar to previous changes (5)
- hub/app/controllers/ModelController.scala
- hub/app/controllers/SearchController.scala
- hub/test/controllers/ModelControllerSpec.scala
- hub/test/controllers/SearchControllerSpec.scala
- hub/test/controllers/TimeSeriesControllerSpec.scala
🔇 Additional comments (10)
hub/app/controllers/TimeSeriesController.scala (10)
1-17: Class structure and dependencies look goodThe
TimeSeriesControlleris well-structured with appropriate imports and dependency injection. The use of@Singletonannotation ensures a single instance of the controller.
45-52: LGTM: Well-structured method with appropriate optional parametersThe
fetchJoinmethod is well-implemented with correct parameter types and delegation to the privatedoFetchJoinmethod.
58-66: LGTM: Consistent implementation withfetchJoinThe
fetchJoinSlicemethod is correctly implemented, maintaining consistency with thefetchJoinmethod while adding thesliceIdparameter.
73-81: LGTM: Well-implemented method with appropriate parametersThe
fetchFeaturemethod is correctly implemented with a good balance of required and optional parameters, delegating to the privatedoFetchFeaturemethod.
87-96: LGTM: Consistent implementation withfetchFeatureThe
fetchFeatureSlicemethod is correctly implemented, maintaining consistency with thefetchFeaturemethod while adding thesliceIdparameter.
123-141: LGTM: Well-structured method with proper error handlingThe
doFetchJoinmethod is well-implemented with appropriate parsing of parameters and delegation to specific methods based on the metric type.
177-194: LGTM: Straightforward implementation of mock data generationThe
doFetchJoinSkewmethod is correctly implemented, generating appropriate mock data for join skew time series.
196-218: LGTM: Well-structured method with proper error handling and delegationThe
doFetchFeaturemethod is well-implemented with appropriate parsing of parameters and delegation to specific methods based on the metric type and granularity.
251-271: LGTM: Well-structured implementation with proper granularity handlingThe
doFetchFeatureSkewmethod is correctly implemented, handling different granularity types and generating appropriate mock data for feature skew time series.
321-349: LGTM: Well-implemented mock data generation methodsThe mock data generation methods are correctly implemented, providing appropriate test data for various scenarios. These methods will be useful for testing and development until the actual data retrieval is implemented.
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Actionable comments posted: 0
🧹 Outside diff range and nitpick comments (2)
hub/app/controllers/Paginate.scala (2)
5-9: LGTM: Well-defined trait with appropriate constants.The
Paginatetrait is well-named and includes useful constants for pagination. ThemaxLimitof 100 is a good practice to prevent excessive data retrieval.Consider adding Scaladoc comments to explain the purpose of these constants, especially
maxLimit, to improve code documentation:trait Paginate { + /** Default offset for pagination, starts from the beginning of the list. */ val defaultOffset = 0 + /** Default limit for the number of items per page. */ val defaultLimit = 10 + /** Maximum allowed limit to prevent excessive data retrieval. */ val maxLimit = 100 }
10-12: Approve with suggestions: Add input validation and handle edge cases.The
paginateResultsmethod correctly implements basic pagination usingslice. However, it lacks input validation and doesn't handle edge cases.Consider adding input validation and handling edge cases:
def paginateResults(results: Seq[Model], offset: Int, limit: Int): Seq[Model] = { val validatedOffset = Math.max(0, offset) val validatedLimit = Math.min(maxLimit, Math.max(1, limit)) results.slice(validatedOffset, validatedOffset + validatedLimit) }This implementation:
- Ensures the offset is non-negative.
- Ensures the limit is between 1 and
maxLimit.- Prevents potential issues with negative or excessively large inputs.
Additionally, consider adding a comment explaining the method's behavior:
/** * Paginates the given sequence of Model objects. * * @param results The sequence of Model objects to paginate * @param offset The starting index for pagination (must be non-negative) * @param limit The maximum number of items to return (capped at maxLimit) * @return A subsequence of Model objects based on the given offset and limit */
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📒 Files selected for processing (6)
- hub/app/controllers/ModelController.scala (1 hunks)
- hub/app/controllers/Paginate.scala (1 hunks)
- hub/app/controllers/SearchController.scala (1 hunks)
- hub/app/controllers/TimeSeriesController.scala (1 hunks)
- hub/app/model/Model.scala (1 hunks)
- hub/test/controllers/TimeSeriesControllerSpec.scala (1 hunks)
🚧 Files skipped from review as they are similar to previous changes (5)
- hub/app/controllers/ModelController.scala
- hub/app/controllers/SearchController.scala
- hub/app/controllers/TimeSeriesController.scala
- hub/app/model/Model.scala
- hub/test/controllers/TimeSeriesControllerSpec.scala
🔇 Additional comments (1)
hub/app/controllers/Paginate.scala (1)
1-4: LGTM: Package declaration and imports are appropriate.The package declaration and import are correctly set up for a controller-related trait that works with model objects.
Implement stubbed backend APIs for model list, search and time series
Implement stubbed backend APIs for model list, search and time series
Implement stubbed baour clientsend APIs for model list, search and time series
Summary
Add some stubbed APIs based on the outline sketched out in doc. As part of this I've added some basic validation of the endpoint params. We'll need to do a more thorough pass there and lock things down so that the backend APIs can only be hit by the frontend in a subsequent PR.
Checklist
Test by unit tests + manual. For manual testing and to see the output:
Then in a browser / via curl, you can pull up some of these endpoints to see the returned responses:
Summary by CodeRabbit
Release Notes
New Features
ApplicationController,ModelController,SearchController, andTimeSeriesControllerfor handling various API requests, including endpoints for listing models, searching, and retrieving time series metrics./api/v1/ping.Improvements
Bug Fixes
Tests
ModelController,SearchController, andTimeSeriesControllerto ensure proper functionality and error handling.