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[UT] add metering consumer ut #222
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Linter Issue ReportDuring the code review, a list issues were found. These issues could affect the code quality, maintainability, and consistency. Below is the detailed Linter issue report: accounting/utils/format_test.goLint Issue: undefined: ValidateDateTimeFormat
Lint Issue: undefined: ValidateDateTimeFormat
accounting/utils/parameters_test.goLint Issue: undefined: GetSceneFromContext
Lint Issue: undefined: GetSceneFromContext
Please make the suggested changes to improve the code quality. |
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merge ut code
MR Summary:
The summary is added by @codegpt.
This Merge Request introduces enhancements and new features across multiple components related to accounting and metering functionalities. Key updates include:
Accounting and Metering Enhancements: Added new utility functions and tests for scene validation, formatting, and parameter extraction. This includes determining if billing calculations are necessary based on the scene type, and retrieving SKU unit types and SKU types by scene.
NATS Message Queue Improvements: Expanded the
MessageQueue
interface andNatsHandler
implementation to support operations related to fee credit, token, and quota data publishing. This aligns with the broader goal of enhancing metering and billing capabilities.Configuration Management: Updated the configuration structure to include a flag for enabling or disabling charging in the accounting component. This provides flexibility in managing billing features.
Database Layer Updates: Enhanced the
AccountMeteringStore
interface and its implementation with a new method for retrieving metering statistics by date. Accompanied by corresponding unit tests, these changes improve the ability to query and manage metering data.Consumer Logic for Metering: Introduced changes in the metering consumer logic to handle metering messages with retry mechanisms and to publish fee-related events based on the message content. This includes handling different types of fee data (credit, token, quota) and moving messages to a Dead Letter Queue (DLQ) if necessary.
Mock Implementations and Tests: Added extensive mock implementations and unit tests across different components to ensure the reliability and correctness of the new functionalities.
This MR aims to bolster the system's accounting and metering capabilities, providing a more robust and flexible framework for handling billing and resource usage tracking.