28 lines
1.2 KiB
Markdown
28 lines
1.2 KiB
Markdown
## Purpose
|
|
|
|
Canonical specification for context-aware-image-selection-recovery requirements synced from OpenSpec change deltas.
|
|
|
|
## Requirements
|
|
|
|
### Requirement: Context-aware image query generation
|
|
Image refetch SHALL construct provider queries from article context including keywords and mood/sentiment cues.
|
|
|
|
#### Scenario: Context-enriched query
|
|
- **WHEN** a queued article is processed for image refetch
|
|
- **THEN** the system derives query terms from article headline/summary content
|
|
- **AND** includes mood/sentiment-informed cues to improve relevance
|
|
|
|
### Requirement: AI-domain fallback keywords
|
|
When context extraction is insufficient, the system SHALL use AI-domain fallback keywords.
|
|
|
|
#### Scenario: Empty or weak context extraction
|
|
- **WHEN** extracted context terms are empty or below quality threshold
|
|
- **THEN** the system applies fallback terms such as `ai`, `machine learning`, `deep learning`
|
|
|
|
### Requirement: Generic AI fallback image on terminal failure
|
|
If no usable provider image is returned, the system SHALL assign a generic AI fallback image.
|
|
|
|
#### Scenario: Provider chain exhaustion
|
|
- **WHEN** all provider attempts fail or return unusable images
|
|
- **THEN** the system stores a generic AI fallback image for the article
|