Idempotency And Dedup

Skill Profile

(Select at least one profile to enable specific modules)

• DevOps
• Backend
• Frontend
• AI-RAG
• Security Critical

Overview

Idempotency and Deduplication are strategies for ensuring operations can be safely retried without causing unintended side effects. Idempotent operations produce the same result regardless of how many times they're called, while deduplication prevents duplicate processing of the same data.

Core Principle: "Make operations safe to retry by designing them to be idempotent and detecting duplicates."

Why This Matters

• Reliability: Enables safe retries without side effects
• Consistency: Prevents duplicate operations and data inconsistency
• User Experience: Users don't see duplicate charges, emails, or actions
• Cost Control: Deduplication prevents unnecessary processing costs
• Debugging: Idempotency simplifies testing and debugging

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Core Concepts & Rules

1. Core Principles

• Follow established patterns and conventions
• Maintain consistency across codebase
• Document decisions and trade-offs

2. Implementation Guidelines

• Start with the simplest viable solution
• Iterate based on feedback and requirements
• Test thoroughly before deployment

Inputs / Outputs / Contracts

• Inputs:
  • API endpoint definitions and operation types
  • Message queue configuration
  • Data models and schemas
• Entry Conditions:
  • Idempotency keys are defined for non-idempotent operations
  • Deduplication stores are configured
  • Message queue has deduplication enabled
• Outputs:
  • Idempotent API implementations
  • Deduplication middleware and filters
  • Idempotency key generation utilities
• Artifacts Required (Deliverables):
  • Idempotency key documentation
  • Deduplication configuration
  • Test cases for idempotent operations
• Acceptance Evidence:
  • Load test showing no side effects from retries
  • Deduplication test results (duplicate detection rate)
  • Idempotency key format validation
• Success Criteria:
  • Operations can be retried 10+ times without side effects
  • Duplicate detection rate > 99%
  • Idempotency keys follow consistent format

Skill Composition

• Depends on: API Design, Message Queues
• Compatible with: Retry Strategies, Circuit Breaker
• Conflicts with: Systems that require exact-once semantics
• Related Skills:
  • 40-system-resilience/retry-timeout-strategies - Retry strategies
  • 09-microservices/event-driven - Message queue deduplication
  • 03-backend-api/api-design - Idempotent API design

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Quick Start / Implementation Example

1. Review requirements and constraints
2. Set up development environment
3. Implement core functionality following patterns
4. Write tests for critical paths
5. Run tests and fix issues
6. Document any deviations or decisions

# Example implementation following best practices
def example_function():
    # Your implementation here
    pass

Assumptions / Constraints / Non-goals

• Assumptions:
  • Development environment is properly configured
  • Required dependencies are available
  • Team has basic understanding of domain
• Constraints:
  • Must follow existing codebase conventions
  • Time and resource limitations
  • Compatibility requirements
• Non-goals:
  • This skill does not cover edge cases outside scope
  • Not a replacement for formal training

Compatibility & Prerequisites

• Supported Versions:
  • Python 3.8+
  • Node.js 16+
  • Modern browsers (Chrome, Firefox, Safari, Edge)
• Required AI Tools:
  • Code editor (VS Code recommended)
  • Testing framework appropriate for language
  • Version control (Git)
• Dependencies:
  • Language-specific package manager
  • Build tools
  • Testing libraries
• Environment Setup:

  • .env.example

    keys:

    API_KEY

    ,

    DATABASE_URL

    (no values)

Test Scenario Matrix (QA Strategy)

Type	Focus Area	Required Scenarios / Mocks
Unit	Core Logic	Must cover primary logic and at least 3 edge/error cases. Target minimum 80% coverage
Integration	DB / API	All external API calls or database connections must be mocked during unit tests
E2E	User Journey	Critical user flows to test
Performance	Latency / Load	Benchmark requirements
Security	Vuln / Auth	SAST/DAST or dependency audit
Frontend	UX / A11y	Accessibility checklist (WCAG), Performance Budget (Lighthouse score)

Technical Guardrails & Security Threat Model

1. Security & Privacy (Threat Model)

• Top Threats: Injection attacks, authentication bypass, data exposure

• Data Handling: Sanitize all user inputs to prevent Injection attacks. Never log raw PII
• Secrets Management: No hardcoded API keys. Use Env Vars/Secrets Manager
• Authorization: Validate user permissions before state changes

2. Performance & Resources

• Execution Efficiency: Consider time complexity for algorithms
• Memory Management: Use streams/pagination for large data
• Resource Cleanup: Close DB connections/file handlers in finally blocks

3. Architecture & Scalability

• Design Pattern: Follow SOLID principles, use Dependency Injection
• Modularity: Decouple logic from UI/Frameworks

4. Observability & Reliability

• Logging Standards: Structured JSON, include trace IDs

  request_id

• Metrics: Track

  error_rate

  ,

  latency

  ,

  queue_depth

• Error Handling: Standardized error codes, no bare except
• Observability Artifacts:
  • Log Fields: timestamp, level, message, request_id
  • Metrics: request_count, error_count, response_time
  • Dashboards/Alerts: High Error Rate > 5%

Agent Directives & Error Recovery

(ข้อกำหนดสำหรับ AI Agent ในการคิดและแก้ปัญหาเมื่อเกิดข้อผิดพลาด)

• Thinking Process: Analyze root cause before fixing. Do not brute-force.
• Fallback Strategy: Stop after 3 failed test attempts. Output root cause and ask for human intervention/clarification.
• Self-Review: Check against Guardrails & Anti-patterns before finalizing.
• Output Constraints: Output ONLY the modified code block. Do not explain unless asked.

Definition of Done (DoD) Checklist

• Tests passed + coverage met
• Lint/Typecheck passed
• Logging/Metrics/Trace implemented
• Security checks passed
• Documentation/Changelog updated
• Accessibility/Performance requirements met (if frontend)

Anti-patterns / Pitfalls

• ⛔ Don't: Log PII, catch-all exception, N+1 queries
• ⚠️ Watch out for: Common symptoms and quick fixes
• 💡 Instead: Use proper error handling, pagination, and logging

Reference Links & Examples

• Internal documentation and examples
• Official documentation and best practices
• Community resources and discussions

Versioning & Changelog

• Version: 1.0.0
• Changelog:
  • 2026-02-22: Initial version with complete template structure