Mikkel Georgsen
8c03780230
- internal/ai/types.go: IntakeRequest, IntakeResult, TierConfig, AIConfig domain types - internal/ai/client.go: AIClient interface + TierClient (go-openai, BaseURL tier-routing) - internal/ai/mock.go: MockAIClient test double with HighConfidenceResult/LowConfidenceResult fixtures - internal/ai/prompts/intake.go: BuildIntakePrompt() JSON-extraction prompt template - internal/config/config.go: Config.AI AIConfig field, tier defaults, env bindings, ai_config.json merge - ai_config.json: template config with placeholder Tier2 API key - .gitignore: add ai_config.local.json pattern for real keys (T-02-01 mitigation) - All tests pass: TestMockAIClient, TestMockAIClientError, TestTierClientConstruction, TestAIConfigDefaults
38 lines
1.1 KiB
Go
38 lines
1.1 KiB
Go
package ai
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import "context"
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// MockAIClient is a test double for AIClient.
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// Set FixedResult and/or FixedError before use.
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type MockAIClient struct {
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FixedResult *IntakeResult
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FixedError error
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Calls []IntakeRequest
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}
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func (m *MockAIClient) AnalyzePhotos(_ context.Context, req IntakeRequest) (*IntakeResult, error) {
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m.Calls = append(m.Calls, req)
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return m.FixedResult, m.FixedError
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}
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// HighConfidenceResult returns a fixture IntakeResult with confidence 0.95.
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func HighConfidenceResult() *IntakeResult {
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return &IntakeResult{
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Model: "Raspberry Pi 4 Model B",
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Manufacturer: "Raspberry Pi Foundation",
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Category: "compute",
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Specs: map[string]string{"ram": "4GB", "cpu": "BCM2711"},
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SuggestedTags: []string{"raspberry-pi", "compute", "arm"},
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Confidence: 0.95,
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}
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}
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// LowConfidenceResult returns a fixture with confidence 0.40 (below threshold).
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func LowConfidenceResult() *IntakeResult {
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return &IntakeResult{
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Model: "Unknown Device",
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Category: "unknown",
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Confidence: 0.40,
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ConfidenceNote: "Cannot identify markings clearly",
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}
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}
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