docs(metrics): Add ARCHITECTURE.md for Metrics module (SPARK-782335)#4763
docs(metrics): Add ARCHITECTURE.md for Metrics module (SPARK-782335)#4763Shreyas281299 wants to merge 1 commit intowebex:task-refactorfrom
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Create architectural documentation following Contact Center SDK patterns for the Metrics module. System-level guide explaining component design, data flow, and implementation details. Key sections: - Component Overview: MetricsManager, taxonomy, constants - File Structure: Complete src/metrics/ layout including AGENTS.md - Singleton Pattern: getInstance implementation and SDK readiness - Data Flow: Mermaid diagram showing timeEvent → submission path - Sequence Diagrams: Event tracking and initialization flows - Behavioral Event Taxonomy: Structured naming convention - Event Queuing: Three parallel queues with submission guards - Timing Pattern: Duration calculation mechanism - Payload Preparation: Cleanup and normalization - Error Handling: Silent drops, logging, lock protection - Troubleshooting: Common issues and resolutions Fixes applied from review: - Corrected preparePayload description (strips ALL arrays) - Added AGENTS.md to file structure listing JIRA: SPARK-782335 Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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| const response = await cc.getBuddyAgents({ | ||
| state: 'Available', | ||
| mediaType: 'telephony', | ||
| }); |
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This example calls cc.getBuddyAgents without agentProfileId, but the public signature is getBuddyAgents(data: BuddyAgents) and BuddyAgents requires agentProfileId: string in src/services/agent/types.ts. TypeScript consumers copying this snippet will hit a type error and be unable to call the API as documented, so the guide should include the required field (or explicitly explain a different public type).
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COMPLETES SPARK-782335
This pull request addresses
The need for standardized AI-facing architectural documentation for the Metrics module within the Contact Center SDK. As part of Specs Driven Software Development, we are creating a framework of ARCHITECTURE.md files to help LLMs understand system design, component interactions, and implementation patterns.
The Metrics module currently lacks comprehensive architectural documentation, making it difficult to understand the singleton pattern, event queuing mechanisms, data flow, and system-level design decisions.
by making the following changes
packages/@webex/contact-center/src/metrics/ai-docs/ARCHITECTURE.mdChange Type
The following scenarios were tested
The GAI Coding Policy And Copyright Annotation Best Practices
I certified that
Generated with Claude Code AI agents using parallel worktree workflow with devil's advocate review