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Add semantic tagging, search, favourite/NSFW filtering, and LLM job queue

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Replaces old list-format tags (which duplicated prompt content) with structured
dict tags per category (origin_series, outfit_type, participants, style_type,
scene_type, etc.). Tags are now purely organizational metadata — removed from
the prompt pipeline entirely.

Adds is_favourite and is_nsfw columns to all 8 resource models. Favourite is
DB-only (user preference); NSFW is mirrored in JSON tags for rescan persistence.
All library pages get filter controls and favourites-first sorting.

Introduces a parallel LLM job queue (_enqueue_task + _llm_queue_worker) for
background tag regeneration, with the same status polling UI as ComfyUI jobs.
Fixes call_llm() to use has_request_context() fallback for background threads.

Adds global search (/search) across resources and gallery images, with navbar
search bar. Adds gallery image sidecar JSON for per-image favourite/NSFW metadata.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Aodhan Collins
2026-03-21 03:22:09 +00:00
parent 7d79e626a5
commit 32a73b02f5
72 changed files with 3163 additions and 2212 deletions
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7
services/prompts.py
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@@ -171,10 +171,6 @@ def build_prompt(data, selected_fields=None, default_fields=None, active_outfit=
if style_data.get('artistic_style') and is_selected('style', 'artistic_style'):
parts.append(style_data['artistic_style'])
tags = data.get('tags', [])
if tags and is_selected('special', 'tags'):
parts.extend(tags)
lora = data.get('lora', {})
if lora.get('lora_triggers') and is_selected('lora', 'lora_triggers'):
parts.append(lora.get('lora_triggers'))
@@ -283,7 +279,6 @@ def build_extras_prompt(actions, outfits, scenes, styles, detailers):
lora = data.get('lora', {})
if lora.get('lora_triggers'):
parts.append(lora['lora_triggers'])
parts.extend(data.get('tags', []))
for key in _BODY_GROUP_KEYS:
val = data.get('action', {}).get(key)
if val:
@@ -299,7 +294,6 @@ def build_extras_prompt(actions, outfits, scenes, styles, detailers):
lora = data.get('lora', {})
if lora.get('lora_triggers'):
parts.append(lora['lora_triggers'])
parts.extend(data.get('tags', []))
for scene in scenes:
data = scene.data
@@ -311,7 +305,6 @@ def build_extras_prompt(actions, outfits, scenes, styles, detailers):
lora = data.get('lora', {})
if lora.get('lora_triggers'):
parts.append(lora['lora_triggers'])
parts.extend(data.get('tags', []))
for style in styles:
data = style.data