29 lines
1.4 KiB
Markdown
29 lines
1.4 KiB
Markdown
## Purpose
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Canonical specification for context-aware-image-selection-recovery requirements synced from OpenSpec change deltas.
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## Requirements
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### Requirement: Context-aware image query generation
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Image refetch SHALL construct provider queries from article context by identifying main subject keywords from headline and summary content.
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#### Scenario: Context-enriched query
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- **WHEN** a queued article is processed for image refetch
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- **THEN** the system derives main-subject query terms from article headline and summary
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- **AND** includes relevance-supporting cues for improved candidate quality
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### Requirement: AI-domain fallback keywords
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When context extraction is insufficient or confidence is low, the system SHALL use AI-domain fallback keywords.
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#### Scenario: Empty or weak context extraction
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- **WHEN** extracted context terms are empty or below quality threshold
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- **THEN** the system applies fallback terms such as `ai`, `machine learning`, `deep learning`
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- **AND** continues candidate search with deterministic fallback ordering
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### Requirement: Generic AI fallback image on terminal failure
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If no usable provider image is returned, the system SHALL assign a generic AI fallback image.
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#### Scenario: Provider chain exhaustion
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- **WHEN** all provider attempts fail or return unusable images
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- **THEN** the system stores a generic AI fallback image for the article
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