1. Recherche: fetchChunkSnippets() — après le classement RRF existant, récupère les passages précis qui matchent depuis NoteEmbeddingChunk. Pur affichage, AUCUN changement de classement. 2. Script migration: scripts/migrate-chunk-embeddings.ts Indexe toutes les notes existantes en fragments. Batch de 10, barre de progression. Usage: npx tsx scripts/migrate-chunk-embeddings.ts 3. Memory Echo chunk-level: à faire (US restante)
50 lines
989 B
JSON
50 lines
989 B
JSON
{
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"manifest_version": 3,
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"name": "__MSG_extName__",
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"version": "0.3.1",
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"description": "__MSG_extDescription__",
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"default_locale": "en",
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"permissions": [
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"activeTab",
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"scripting",
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"storage",
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"sidePanel",
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"tabs"
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],
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"host_permissions": [
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"https://memento-note.com/*",
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"https://www.memento-note.com/*"
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],
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"background": {
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"service_worker": "background.js"
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},
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"side_panel": {
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"default_path": "sidepanel.html"
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},
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"content_scripts": [
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{
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"matches": [
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"https://memento-note.com/*",
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"https://www.memento-note.com/*"
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],
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"js": [
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"content.js"
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],
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"run_at": "document_idle",
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"all_frames": false
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}
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],
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"action": {
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"default_title": "__MSG_extActionTitle__",
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"default_icon": {
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"16": "icon-16.png",
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"48": "icon-48.png",
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"128": "icon-128.png"
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}
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},
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"icons": {
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"16": "icon-16.png",
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"48": "icon-48.png",
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"128": "icon-128.png"
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}
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} |