Testing Strategy
Relevant source files
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The SecretForge AI testing strategy is a multi-layered approach designed to ensure the security, reliability, and performance of secret management operations. It encompasses automated unit testing, integration testing, security scanning, and continuous integration (CI) workflows to maintain high code quality standards across the monorepo.
The strategy prioritizes high test coverage (aiming for >80%) and utilizes the Vitest framework for execution. Testing covers critical paths including cryptographic operations, database persistence, CLI command execution, and API endpoint behavior.
Sources: CONTRIBUTING.md:100-105, SYSTEM_EVALUATION.md:12-16, AUTOMATION_SUMMARY.md:10-15
Testing Architecture
The project employs a structured testing hierarchy ranging from isolated unit tests to end-to-end integration tests.
Test Hierarchy Levels
| Level | Focus | Tooling |
|---|---|---|
| Unit Tests | Logic verification for isolated functions (Crypto, Scanners) | Vitest |
| Integration Tests | End-to-end CLI commands and API endpoint flows | Vitest, Mock Environments |
| Security Scanning | Vulnerability detection and secret leakage prevention | CodeQL, TruffleHog, pnpm audit |
| CI/CD Validation | Automated execution on every PR/push | GitHub Actions |
Sources: SYSTEM_EVALUATION.md:52-65, AUTOMATION_SUMMARY.md:18-35
Test Execution Flow
The following diagram illustrates how tests are triggered and validated within the development lifecycle.
The automation flow ensures that no code is merged without passing linting, type checking, and the full test suite.
Sources: AUTOMATION_SUMMARY.md:85-110, CONTRIBUTING.md:120-135
Unit Testing
Unit tests focus on the core business logic of the system, specifically targeting the cryptographic providers, storage layers, and dependency scanners.
Cryptographic Tests
Tests verify the AES-256-GCM implementation, ensuring that:
- Encryption and decryption are deterministic and accurate.
- Key validation handles invalid lengths or formats.
- Edge cases like empty strings or special characters are handled.
Sources: SYSTEM_EVALUATION.md:65-70, PHASE1_IMPLEMENTATION.md:135-145
Dependency Scanner Tests
The dependencyScanner.test.ts suite validates the ability to detect required services across multiple languages and package managers.
| Language | Target Files | Detected Services |
|---|---|---|
| Node.js | package.json | Stripe, OpenAI, AWS, Supabase |
| Python | requirements.txt | Stripe, OpenAI, PostgreSQL |
| Go | go.mod | Stripe, Twilio, Redis |
| Ruby | Gemfile | Stripe, Redis, PG |
Sources: packages/shared/src/scanners/tests/dependencyScanner.test.ts:13-110
The scanner uses pattern matching to assign confidence scores to detected services based on dependency declarations.
Sources: packages/shared/src/scanners/tests/dependencyScanner.test.ts:250-265
Integration Testing
Integration tests verify the interaction between multiple components, such as the API's interaction with Cloudflare KV/D1 or the CLI's interaction with the local SQLite database.
API Integration
The API test suite uses mock implementations of Cloudflare services (D1, KV, Vectorize) to simulate a production environment.
Key Test Scenarios:
- Authentication: Rejection of missing tokens and acceptance of valid JWT/API keys.
- Secret Management: Full CRUD lifecycle (Create, List, Retrieve, Rotate, Delete).
- Rate Limiting: Enforcement of request thresholds based on user tiers.
Sources: packages/api/src/tests/api.integration.test.ts:35-180
CLI Integration
CLI integration tests verify command execution via the sf binary.
sf init: Setup of configuration and database.sf add/list: Validation of encryption at rest and masked display.sf inject/export: Verification of credential output to files and standard output.
Sources: SYSTEM_EVALUATION.md:160-175, PHASE1_IMPLEMENTATION.md:150-165
Security and Compliance Testing
Security testing is integrated into the CI pipeline to detect vulnerabilities before deployment.
Automated Security Checks
| Tool | Purpose |
|---|---|
| CodeQL | Scans for code vulnerabilities and injection attacks |
| TruffleHog | Detects hardcoded secrets and credentials |
| pnpm audit | Checks for known vulnerabilities in dependencies |
Sources: AUTOMATION_SUMMARY.md:25-32, SYSTEM_EVALUATION.md:105-125
Compliance Validation Tests
The API includes specific endpoints to validate secret compliance against frameworks like SOC2, GDPR, and HIPAA. These tests ensure that the validation logic correctly identifies compliant or non-compliant secret configurations.
Testing Configuration
The project utilizes vitest as the primary test runner. Configuration is managed at the package level.
Vitest Environment
The API tests require a specialized environment to handle Cloudflare Worker bindings. This is achieved through mock functions that simulate the TEST_ENV object:
createMockD1Database(): Simulates D1 prepared statements and execution results.createMockKV(): Implements aMap-based storage for KV pairs.createMockVectorize(): Simulates vector search matches.
Sources: packages/api/src/tests/api.integration.test.ts:305-385
Conclusion
The SecretForge AI testing strategy ensures system integrity through a combination of rigorous unit tests for core logic and extensive integration tests for platform features. By embedding security scanning and automated CI checks into the development workflow, the project maintains a "passed" status for critical security and functional requirements while targeting high code coverage and performance efficiency.
Sources: SYSTEM_EVALUATION.md:10-15, AUTOMATION_SUMMARY.md:135-140