增加 .gitignore 文件忽视 .trash/ 和 attachments/
增加 .obsidian 配置文件 增加第三方插件：ai-providers、dataview、local-gpt、templater-obsidian
This commit is contained in:
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3
.gitignore
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3
.gitignore
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.trash/
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attachments/
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8
.obsidian/app.json
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8
.obsidian/app.json
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{
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"newFileLocation": "folder",
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"newFileFolderPath": "note",
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"attachmentFolderPath": "attachments",
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"showLineNumber": true,
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"trashOption": "local",
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"promptDelete": false
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}
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1
.obsidian/appearance.json
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1
.obsidian/appearance.json
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{}
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3
.obsidian/backlink.json
vendored
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3
.obsidian/backlink.json
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{
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"backlinkInDocument": true
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}
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6
.obsidian/canvas.json
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6
.obsidian/canvas.json
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{
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"snapToObjects": true,
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"snapToGrid": true,
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"newFileLocation": "folder",
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"newFileFolderPath": "attachments"
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}
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1
.obsidian/community-plugins.json
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1
.obsidian/community-plugins.json
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[]
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33
.obsidian/core-plugins.json
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33
.obsidian/core-plugins.json
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{
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"file-explorer": true,
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"global-search": true,
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"switcher": true,
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"graph": true,
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"backlink": true,
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"canvas": true,
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"outgoing-link": true,
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"tag-pane": true,
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"footnotes": true,
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"properties": true,
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"page-preview": true,
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"daily-notes": true,
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"templates": true,
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"note-composer": true,
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"command-palette": true,
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"slash-command": true,
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"editor-status": true,
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"bookmarks": true,
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"markdown-importer": false,
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"zk-prefixer": true,
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"random-note": true,
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"outline": true,
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"word-count": true,
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"slides": true,
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"audio-recorder": true,
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"workspaces": true,
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"file-recovery": true,
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"publish": false,
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"sync": false,
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"bases": true,
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"webviewer": false
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}
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22
.obsidian/graph.json
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22
.obsidian/graph.json
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{
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"collapse-filter": true,
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"search": "",
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"showTags": false,
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"showAttachments": false,
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"hideUnresolved": false,
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"showOrphans": true,
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"collapse-color-groups": true,
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"colorGroups": [],
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"collapse-display": true,
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"showArrow": false,
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"textFadeMultiplier": 0,
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"nodeSizeMultiplier": 1,
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"lineSizeMultiplier": 1,
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"collapse-forces": true,
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"centerStrength": 0.518713248970312,
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"repelStrength": 10,
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"linkStrength": 1,
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"linkDistance": 250,
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"scale": 1,
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"close": false
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}
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196
.obsidian/plugins/ai-providers/data.json
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.obsidian/plugins/ai-providers/data.json
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{
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"_version": 1,
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"debugLogging": false,
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"useNativeFetch": false,
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"providers": [
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{
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"id": "id-1766815906291",
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"name": "OpenAI",
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"apiKey": "sk-00717039aff94da698a217b5abc2380e",
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"url": "https://dashscope.aliyuncs.com/compatible-mode/v1",
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"type": "openai",
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"model": "qwen3-max-preview",
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"availableModels": [
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"qwen-flash",
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"z-image-turbo",
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"qwen3-vl-plus-2025-12-19",
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"qwen3-tts-vd-realtime-2025-12-16",
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"qwen-image-edit-plus-2025-12-15",
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"deepseek-v3.2",
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"qwen3-omni-flash-2025-12-01",
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"qwen3-omni-flash-realtime-2025-12-01",
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"qwen3-livetranslate-flash-2025-12-01",
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"qwen3-livetranslate-flash",
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"qwen-plus-2025-12-01",
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"qwen3-tts-vc-realtime-2025-11-27",
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"qwen3-tts-flash-2025-11-27",
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"qwen3-tts-flash-realtime-2025-11-27",
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"qwen-plus-2025-11-05",
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"qwen-mt-lite",
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"qwen-vl-ocr-2025-11-20",
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"kimi-k2-thinking",
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"qwen-mt-flash",
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"gui-plus",
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"qwen-image-edit-plus-2025-10-30",
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"qwen-image-edit-plus",
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"qwen-deep-search-planning",
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"qwen3-asr-flash-realtime-2025-10-27",
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"qwen3-asr-flash-realtime",
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"qwen3-vl-flash",
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"qwen3-vl-flash-2025-10-15",
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"qwen3-tts-flash",
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"qwen3-tts-flash-2025-09-18",
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"qwen3-tts-flash-realtime-2025-09-18",
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"qwen3-tts-flash-realtime",
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"qwen3-omni-flash-realtime",
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"qwen3-omni-flash",
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"qwen3-omni-flash-2025-09-15",
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"qwen3-omni-flash-realtime-2025-09-15",
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"qwen3-s2s-flash-realtime-2025-09-22",
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"qwen3-livetranslate-flash-realtime",
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"qwen3-livetranslate-flash-realtime-2025-09-22",
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"qwen2.5-14b-instruct-1m",
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"qwen2.5-7b-instruct-1m",
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"qwen-max-2025-01-25",
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"qwen-turbo-2024-11-01",
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"qwen-plus-2025-01-25",
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"qwq-plus-2025-03-05",
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"qwq-plus",
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"qwen2.5-vl-32b-instruct",
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"qvq-max",
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"qwen-omni-turbo",
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"qwen-turbo-2025-04-28",
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"qwen-plus-2025-04-28",
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"qwen-vl-max-2025-04-08",
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"qwen-vl-plus-2025-01-25",
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"qwen-vl-plus-latest",
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"qwen-vl-max-latest",
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"qwen-vl-plus-2025-05-07",
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"qwen-turbo-2025-07-15",
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"qwen3-235b-a22b-instruct-2507",
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"qwen3-235b-a22b-thinking-2507",
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"qwen3-30b-a3b-thinking-2507",
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"qwen3-30b-a3b-instruct-2507",
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"qwen3-coder-flash",
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"qwen3-coder-plus-2025-09-23",
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"qwen3-max-2025-09-23",
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"qwen3-vl-plus",
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"qwen3-vl-plus-2025-09-23",
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"qwen-plus-2025-09-11",
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"qwen3-next-80b-a3b-thinking",
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"qwen3-next-80b-a3b-instruct",
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"qwen3-max-preview",
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"deepseek-v3.1",
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"qwen-vl-plus-2025-08-15",
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"qwen3-coder-plus",
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"qwen3-coder-plus-2025-07-22",
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"qwen-plus-2025-07-14",
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"qwen3-coder-480b-a35b-instruct",
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"qwen-mt-turbo",
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"qwen-mt-plus",
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"qwen-tts-2025-05-22",
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"qvq-plus",
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"qvq-plus-2025-05-15",
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"qvq-max-2025-05-15",
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"qwen3-4b",
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"qwen3-32b",
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"qwen3-30b-a3b",
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"qwen3-235b-a22b",
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"qwen3-14b",
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"qwen3-1.7b",
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"qwen3-0.6b",
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"qwen3-8b",
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"qwen-vl-max-2025-04-02",
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"deepseek-v3",
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"deepseek-r1-distill-llama-70b",
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"deepseek-r1-distill-qwen-32b",
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"deepseek-r1-distill-qwen-14b",
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"deepseek-r1-distill-llama-8b",
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"deepseek-r1-distill-qwen-1.5b",
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"deepseek-r1-distill-qwen-7b",
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"deepseek-r1",
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"qwen1.5-7b-chat",
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"qwen-vl-ocr-latest",
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"qwen-vl-ocr",
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"qwen-coder-plus-1106",
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"qwen-coder-plus",
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"qwen-coder-plus-latest",
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"qwen2.5-coder-3b-instruct",
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"qwen2.5-coder-0.5b-instruct",
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"qwen2.5-coder-14b-instruct",
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"qwen2.5-coder-32b-instruct",
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"qwen-coder-turbo",
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"qwen2.5-math-7b-instruct",
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"qwen2.5-coder-7b-instruct",
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"qwen2.5-72b-instruct",
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"qwen2.5-32b-instruct",
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"qwen2.5-math-1.5b-instruct",
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"qwen2.5-1.5b-instruct",
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"qwen-turbo-latest",
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"qwen-plus-0919",
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"qwen-max-latest",
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"qwen-turbo-0919",
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"qwen-math-turbo-0919",
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"qwen-coder-turbo-latest",
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"qwen2.5-math-72b-instruct",
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"qwen2.5-7b-instruct",
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"qwen2.5-14b-instruct",
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"qwen2.5-0.5b-instruct",
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"qwen-math-plus",
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"qwen-max-0919",
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"qwen-math-turbo-latest",
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"qwen-math-turbo",
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"qwen-math-plus-latest",
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"qwen-math-plus-0919",
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"qwen-coder-turbo-0919",
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"qwen-plus-latest",
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"qwen2.5-3b-instruct",
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"qwen2-57b-a14b-instruct",
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"qwen2-7b-instruct",
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"qwen2-0.5b-instruct",
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"qwen2-1.5b-instruct",
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"qwen-long",
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"qwen-vl-max",
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"qwen-vl-plus",
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"qwen-max-0428",
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"qwen1.5-110b-chat",
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"qwen1.5-0.5b-chat",
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"codeqwen1.5-7b-chat",
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"qwen-72b-chat",
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"qwen-1.8b-chat",
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"qwen-7b-chat",
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"qwen-1.8b-longcontext-chat",
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"qwen-14b-chat",
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"qwen-max-1201",
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"qwen-max-longcontext",
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"qwen1.5-1.8b-chat",
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"qwen1.5-14b-chat",
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"qwen1.5-32b-chat",
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"qwen1.5-72b-chat",
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"qwen-plus",
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"qwen-max-0107",
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"qwen-turbo",
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"qwen-max-0403",
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"qwen-max"
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]
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},
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{
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"id": "id-1766822455151",
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"name": "Ollama",
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"apiKey": "",
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"url": "https://efhjzk-nfodwe-8434.app.cloudstudio.work",
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"type": "ollama",
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"model": "deepseek-r1:8b",
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"availableModels": [
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"qwen2.5:7b",
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"qwen2.5:1.5b-instruct-q4_0",
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"llama3.2:1b-instruct-q2_K",
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"deepseek-r1:1.5b",
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"deepseek-r1:14b",
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"deepseek-r1:7b",
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"deepseek-r1:8b",
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"bge-m3:latest"
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]
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}
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]
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}
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85
.obsidian/plugins/ai-providers/main.js
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85
.obsidian/plugins/ai-providers/main.js
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10
.obsidian/plugins/ai-providers/manifest.json
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.obsidian/plugins/ai-providers/manifest.json
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{
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"id": "ai-providers",
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"name": "AI Providers",
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"version": "1.8.0",
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"minAppVersion": "0.15.0",
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"description": "A hub for setting AI providers (OpenAI-like, Ollama and more) in one place.",
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"author": "Pavel Frankov",
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"authorUrl": "https://github.com/pfrankov",
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"isDesktopOnly": false
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}
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1
.obsidian/plugins/ai-providers/styles.css
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.obsidian/plugins/ai-providers/styles.css
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.ai-providers-model-pill{display:inline-block;padding:2px 6px;margin-top:4px;border-radius:var(--radius-s);background-color:var(--background-modifier-border);color:var(--text-muted);font-size:var(--font-smallest);opacity:.8;text-shadow:var(--background-primary) 0 0 1px,var(--background-primary) 0 0 1px}.ai-providers-provider-icon{display:inline-flex;align-items:center;margin-right:6px;vertical-align:text-top}.ai-providers-provider-icon svg{width:16px;height:16px;fill:var(--text-muted)}.ai-providers-developer-settings-toggle{margin-top:1.5em;border:0}.ai-providers-developer-settings{margin-top:.75em;padding:1em;border:1px solid var(--background-modifier-border);border-radius:var(--radius-m)}.ai-providers-notice{margin:0 -1em 1em;padding:1em;border:1px solid var(--background-modifier-border);border-radius:var(--radius-m);background-color:var(--background-secondary)}.ai-providers-notice-content{color:var(--text-muted);font-size:var(--font-small);line-height:var(--line-height-tight)}.ai-providers-model-dropdown{max-width:65%}.ai-providers-model-dropdown select{width:100%;text-overflow:ellipsis}.ai-providers-main-interface .setting-item,.ai-providers-main-interface .setting-item-info{overflow:hidden}.ai-providers-main-interface .setting-item-description{max-width:100%}
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20876
.obsidian/plugins/dataview/main.js
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20876
.obsidian/plugins/dataview/main.js
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11
.obsidian/plugins/dataview/manifest.json
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11
.obsidian/plugins/dataview/manifest.json
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{
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||||
"id": "dataview",
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||||
"name": "Dataview",
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||||
"version": "0.5.68",
|
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"minAppVersion": "0.13.11",
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||||
"description": "Complex data views for the data-obsessed.",
|
||||
"author": "Michael Brenan <blacksmithgu@gmail.com>",
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||||
"authorUrl": "https://github.com/blacksmithgu",
|
||||
"helpUrl": "https://blacksmithgu.github.io/obsidian-dataview/",
|
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"isDesktopOnly": false
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||||
}
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141
.obsidian/plugins/dataview/styles.css
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141
.obsidian/plugins/dataview/styles.css
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.block-language-dataview {
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overflow-y: auto;
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}
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||||
/*****************/
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/** Table Views **/
|
||||
/*****************/
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||||
|
||||
/* List View Default Styling; rendered internally as a table. */
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||||
.table-view-table {
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width: 100%;
|
||||
}
|
||||
|
||||
.table-view-table > thead > tr, .table-view-table > tbody > tr {
|
||||
margin-top: 1em;
|
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margin-bottom: 1em;
|
||||
text-align: left;
|
||||
}
|
||||
|
||||
.table-view-table > tbody > tr:hover {
|
||||
background-color: var(--table-row-background-hover);
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||||
}
|
||||
|
||||
.table-view-table > thead > tr > th {
|
||||
font-weight: 700;
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||||
font-size: larger;
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||||
border-top: none;
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||||
border-left: none;
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||||
border-right: none;
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||||
border-bottom: solid;
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||||
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||||
max-width: 100%;
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||||
}
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.table-view-table > tbody > tr > td {
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text-align: left;
|
||||
border: none;
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font-weight: 400;
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||||
max-width: 100%;
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||||
}
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||||
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||||
.table-view-table ul, .table-view-table ol {
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margin-block-start: 0.2em !important;
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||||
margin-block-end: 0.2em !important;
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||||
}
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||||
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||||
/** Rendered value styling for any view. */
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||||
.dataview-result-list-root-ul {
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||||
padding: 0em !important;
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||||
margin: 0em !important;
|
||||
}
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||||
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||||
.dataview-result-list-ul {
|
||||
margin-block-start: 0.2em !important;
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||||
margin-block-end: 0.2em !important;
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||||
}
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||||
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||||
/** Generic grouping styling. */
|
||||
.dataview.result-group {
|
||||
padding-left: 8px;
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||||
}
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||||
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||||
/*******************/
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||||
/** Inline Fields **/
|
||||
/*******************/
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||||
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||||
.dataview.inline-field-key {
|
||||
padding-left: 8px;
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||||
padding-right: 8px;
|
||||
font-family: var(--font-monospace);
|
||||
background-color: var(--background-primary-alt);
|
||||
color: var(--nav-item-color-selected);
|
||||
}
|
||||
|
||||
.dataview.inline-field-value {
|
||||
padding-left: 8px;
|
||||
padding-right: 8px;
|
||||
font-family: var(--font-monospace);
|
||||
background-color: var(--background-secondary-alt);
|
||||
color: var(--nav-item-color-selected);
|
||||
}
|
||||
|
||||
.dataview.inline-field-standalone-value {
|
||||
padding-left: 8px;
|
||||
padding-right: 8px;
|
||||
font-family: var(--font-monospace);
|
||||
background-color: var(--background-secondary-alt);
|
||||
color: var(--nav-item-color-selected);
|
||||
}
|
||||
|
||||
/***************/
|
||||
/** Task View **/
|
||||
/***************/
|
||||
|
||||
.dataview.task-list-item, .dataview.task-list-basic-item {
|
||||
margin-top: 3px;
|
||||
margin-bottom: 3px;
|
||||
transition: 0.4s;
|
||||
}
|
||||
|
||||
.dataview.task-list-item:hover, .dataview.task-list-basic-item:hover {
|
||||
background-color: var(--text-selection);
|
||||
box-shadow: -40px 0 0 var(--text-selection);
|
||||
cursor: pointer;
|
||||
}
|
||||
|
||||
/*****************/
|
||||
/** Error Views **/
|
||||
/*****************/
|
||||
|
||||
div.dataview-error-box {
|
||||
width: 100%;
|
||||
min-height: 150px;
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
border: 4px dashed var(--background-secondary);
|
||||
}
|
||||
|
||||
.dataview-error-message {
|
||||
color: var(--text-muted);
|
||||
text-align: center;
|
||||
}
|
||||
|
||||
/*************************/
|
||||
/** Additional Metadata **/
|
||||
/*************************/
|
||||
|
||||
.dataview.small-text {
|
||||
font-size: smaller;
|
||||
color: var(--text-muted);
|
||||
margin-left: 3px;
|
||||
}
|
||||
|
||||
.dataview.small-text::before {
|
||||
content: "(";
|
||||
}
|
||||
|
||||
.dataview.small-text::after {
|
||||
content: ")";
|
||||
}
|
||||
57
.obsidian/plugins/local-gpt/data.json
vendored
Normal file
57
.obsidian/plugins/local-gpt/data.json
vendored
Normal file
@ -0,0 +1,57 @@
|
||||
{
|
||||
"aiProviders": {
|
||||
"main": "id-1766822455151",
|
||||
"embedding": "id-1766822455151",
|
||||
"vision": null
|
||||
},
|
||||
"defaults": {
|
||||
"creativity": "low",
|
||||
"contextLimit": "local"
|
||||
},
|
||||
"actions": [
|
||||
{
|
||||
"name": "文档归档",
|
||||
"prompt": "",
|
||||
"system": "你是一个专业的文字工作者。能够平衡文档的完整性和读者的理解性。将文档进行整理排版归档，作为知识库供未来人工/程序检索查询。",
|
||||
"replace": false
|
||||
},
|
||||
{
|
||||
"name": "Hotfix助手",
|
||||
"prompt": "",
|
||||
"system": "你是一个专业的hotfix人员，专业技能完全值得信赖",
|
||||
"replace": false
|
||||
},
|
||||
{
|
||||
"name": "🪄 General help",
|
||||
"prompt": "",
|
||||
"system": "You are an assistant helping a user write more content in a document based on a prompt. Output in markdown format. Do not use links. Do not include literal content from the original document."
|
||||
},
|
||||
{
|
||||
"name": "✍️ Continue writing",
|
||||
"prompt": "Act as a professional editor with many years of experience as a writer. Carefully finalize the following text, add details, use facts and make sure that the meaning and original style are preserved. Purposely write in detail, with examples, so that your reader is comfortable, even if they don't understand the specifics. Don't use clericalisms, evaluations without proof with facts, passive voice. Use Markdown markup language for formatting. Answer only content and nothing else, no introductory words, only substance.",
|
||||
"system": "You are an AI assistant that follows instruction extremely well. Help as much as you can."
|
||||
},
|
||||
{
|
||||
"name": "🍭 Summarize",
|
||||
"prompt": "Make a concise summary of the key points of the following text.",
|
||||
"system": "You are an AI assistant that follows instruction extremely well. Help as much as you can."
|
||||
},
|
||||
{
|
||||
"name": "📖 Fix spelling and grammar",
|
||||
"prompt": "Proofread the below for spelling and grammar.",
|
||||
"system": "You are an AI assistant that follows instruction extremely well. Help as much as you can.",
|
||||
"replace": true
|
||||
},
|
||||
{
|
||||
"name": "✅ Find action items",
|
||||
"prompt": "Act as an assistant helping find action items inside a document. An action item is an extracted task or to-do found inside of an unstructured document. Use Markdown checkbox format: each line starts with \"- [ ] \"",
|
||||
"system": "You are an AI assistant that follows instruction extremely well. Help as much as you can."
|
||||
},
|
||||
{
|
||||
"name": "🧠 New System Prompt",
|
||||
"prompt": "",
|
||||
"system": "You are a highly skilled AI prompt engineer with expertise in creating tailored prompts for a wide range of professional roles. You have a deep knowledge of how to craft prompts that effectively guide the language model to produce high-quality, contextually appropriate responses.\n\nYour task is to generate a custom system prompt for different roles based on user input. This involves understanding the specific requirements of each role, the context in which the prompt will be used, and the desired output format. You are skilled in structuring prompts that ensure clarity, relevance, and utility.\n\nCreate a custom system prompt for an LLM to assist users in generating contextually appropriate and highly effective responses for various roles. The prompt should provide clear instructions to the LLM on how to handle specific scenarios related to the role, including the tone and format of the response.\n\nStart by providing a role \"You are...\" and context as a summary of the situation or background information relevant to the prompt. Define the main objective, outlining what the LLM needs to accomplish.\n\nInclude instructions on the appropriate style and tone (e.g., formal, casual, technical, empathetic) based on the role and audience. Identify the target audience to tailor the LLM's output effectively. Specify the format of the response, whether it should be a narrative, bullet points, step-by-step guide, code, or another format. Avoid using headings or examples; the prompt should read as a continuous, cohesive set of instructions.\nANSWER PROMPT AND NOTHING ELSE!"
|
||||
}
|
||||
],
|
||||
"_version": 8
|
||||
}
|
||||
29671
.obsidian/plugins/local-gpt/main.js
vendored
Normal file
29671
.obsidian/plugins/local-gpt/main.js
vendored
Normal file
File diff suppressed because one or more lines are too long
13
.obsidian/plugins/local-gpt/manifest.json
vendored
Normal file
13
.obsidian/plugins/local-gpt/manifest.json
vendored
Normal file
@ -0,0 +1,13 @@
|
||||
{
|
||||
"id": "local-gpt",
|
||||
"name": "Local GPT",
|
||||
"version": "3.6.0",
|
||||
"minAppVersion": "0.15.0",
|
||||
"description": "Local GPT assistance for maximum privacy and offline access",
|
||||
"author": "Pavel Frankov",
|
||||
"authorUrl": "https://github.com/pfrankov",
|
||||
"isDesktopOnly": false,
|
||||
"css": [
|
||||
"styles.css"
|
||||
]
|
||||
}
|
||||
569
.obsidian/plugins/local-gpt/styles.css
vendored
Normal file
569
.obsidian/plugins/local-gpt/styles.css
vendored
Normal file
@ -0,0 +1,569 @@
|
||||
/* node_modules/@obsidian-ai-providers/sdk/dist/styles.css */
|
||||
.ai-providers-notice {
|
||||
margin: 0 -1em 1em;
|
||||
padding: 1em;
|
||||
border: 1px solid var(--background-modifier-border);
|
||||
border-radius: var(--radius-m);
|
||||
background-color: var(--background-secondary);
|
||||
color: var(--text-muted);
|
||||
font-size: var(--font-small);
|
||||
line-height: var(--line-height-tight);
|
||||
}
|
||||
.ai-providers-notice p {
|
||||
margin: 0;
|
||||
margin-bottom: 0.5em;
|
||||
}
|
||||
.ai-providers-notice p:last-child {
|
||||
margin-bottom: 0;
|
||||
}
|
||||
.ai-providers-select > .setting-item-info {
|
||||
flex-grow: 1;
|
||||
flex-shrink: 1;
|
||||
}
|
||||
.ai-providers-select > .setting-item-control {
|
||||
flex-grow: 0;
|
||||
flex-shrink: 1;
|
||||
flex-basis: 50%;
|
||||
max-width: 50%;
|
||||
}
|
||||
.ai-providers-select > .setting-item-control .dropdown {
|
||||
max-width: 100%;
|
||||
}
|
||||
|
||||
/* styles.css */
|
||||
.local-gpt-settings-separator {
|
||||
margin: 1em 0;
|
||||
height: 1em;
|
||||
}
|
||||
.local-gpt-advanced-toggle {
|
||||
margin-top: 1.5em;
|
||||
border: 0;
|
||||
}
|
||||
.local-gpt-advanced-group {
|
||||
margin-top: 0.75em;
|
||||
padding: 1em;
|
||||
border: 1px solid var(--background-modifier-border);
|
||||
border-radius: var(--radius-m);
|
||||
}
|
||||
.local-gpt-advanced-group > h4 {
|
||||
margin: 0 0 0.75em;
|
||||
font-weight: 700;
|
||||
}
|
||||
.local-gpt-advanced-group .setting-item {
|
||||
border-top: 1px solid var(--background-modifier-border);
|
||||
margin-top: 0.5em;
|
||||
padding-top: 0.5em;
|
||||
}
|
||||
.local-gpt-content {
|
||||
color: var(--text-faint);
|
||||
display: block;
|
||||
white-space: pre-wrap;
|
||||
word-break: break-word;
|
||||
}
|
||||
.local-gpt-content > span:last-child {
|
||||
display: inline;
|
||||
background-image: linear-gradient(to right, var(--text-faint) 0%, var(--interactive-accent) 100%);
|
||||
background-clip: text;
|
||||
-webkit-text-fill-color: transparent;
|
||||
box-decoration-break: slice;
|
||||
}
|
||||
.local-gpt-loading {
|
||||
display: inline-block;
|
||||
overflow: hidden;
|
||||
height: 1.3em;
|
||||
line-height: 1.5em;
|
||||
vertical-align: text-bottom;
|
||||
margin: -0.3em 0.3em 0;
|
||||
}
|
||||
.local-gpt-thinking-container {
|
||||
display: block;
|
||||
opacity: 0;
|
||||
animation: local-gpt-fadeIn 0.1s ease-out forwards;
|
||||
}
|
||||
@keyframes local-gpt-fadeIn {
|
||||
from {
|
||||
opacity: 0;
|
||||
}
|
||||
to {
|
||||
opacity: 1;
|
||||
}
|
||||
}
|
||||
.local-gpt-thinking {
|
||||
position: relative;
|
||||
display: inline-block;
|
||||
color: var(--interactive-accent);
|
||||
font-style: italic;
|
||||
animation: local-gpt-pulse 1.7s ease-in-out infinite;
|
||||
}
|
||||
.local-gpt-thinking::before {
|
||||
content: attr(data-text);
|
||||
position: absolute;
|
||||
top: 0;
|
||||
left: 0;
|
||||
right: 0;
|
||||
bottom: 0;
|
||||
color: var(--interactive-accent-hover);
|
||||
display: inline-block;
|
||||
white-space: nowrap;
|
||||
filter: blur(2px);
|
||||
mask-image: linear-gradient(to right, transparent 30%, black 50%, transparent 70%);
|
||||
mask-size: 200% 100%;
|
||||
mask-position: -50% 0;
|
||||
animation: local-gpt-maskMove 1.7s linear infinite reverse;
|
||||
mix-blend-mode: color-dodge;
|
||||
}
|
||||
.local-gpt-thinking::after {
|
||||
content: "";
|
||||
display: inline-block;
|
||||
width: 1em;
|
||||
text-align: left;
|
||||
animation: local-gpt-dots 1.7s infinite;
|
||||
opacity: 1;
|
||||
}
|
||||
.cm-editor .local-gpt-action-palette-container {
|
||||
position: relative;
|
||||
display: block;
|
||||
padding: 0;
|
||||
text-indent: 0;
|
||||
}
|
||||
.markdown-source-view.mod-cm6 .cm-content > .local-gpt-action-palette-container[contenteditable=false] {
|
||||
contain: none !important;
|
||||
overflow: visible;
|
||||
margin: 0.3rem -10px 1.5rem !important;
|
||||
}
|
||||
.cm-editor .local-gpt-action-palette-shell {
|
||||
display: inline-flex;
|
||||
width: 100%;
|
||||
padding: var(--size-2-1) 0;
|
||||
position: relative;
|
||||
z-index: var(--layer-popover);
|
||||
}
|
||||
.cm-editor .local-gpt-action-palette {
|
||||
width: 100%;
|
||||
box-sizing: border-box;
|
||||
padding: var(--size-4-2) var(--size-4-2);
|
||||
border-radius: var(--radius-m);
|
||||
border: 2px solid var(--background-modifier-border);
|
||||
background: var(--background-primary);
|
||||
color: var(--text-normal);
|
||||
font: inherit;
|
||||
outline: none;
|
||||
box-shadow: var(--shadow-s);
|
||||
transition: border-color var(--anim-duration-moderate) ease, box-shadow var(--anim-duration-moderate) ease;
|
||||
min-height: var(--line-height-normal);
|
||||
line-height: var(--line-height-normal);
|
||||
z-index: var(--layer-popover);
|
||||
}
|
||||
.cm-editor .local-gpt-action-palette[contenteditable=true]:empty::before {
|
||||
content: attr(data-placeholder);
|
||||
color: var(--text-faint);
|
||||
pointer-events: none;
|
||||
}
|
||||
.cm-editor .local-gpt-action-palette .file-mention {
|
||||
background: var(--interactive-accent);
|
||||
color: var(--text-on-accent);
|
||||
padding: var(--size-2-1) var(--size-4-2);
|
||||
border-radius: var(--radius-s);
|
||||
cursor: pointer;
|
||||
user-select: none;
|
||||
transition: background-color var(--anim-duration-fast) ease;
|
||||
margin: 0 var(--size-2-1);
|
||||
display: inline-block;
|
||||
}
|
||||
.cm-editor .local-gpt-action-palette .file-mention:hover {
|
||||
background: var(--interactive-accent-hover);
|
||||
}
|
||||
.cm-editor .local-gpt-action-palette .file-mention:active {
|
||||
background: var(--interactive-accent-hover);
|
||||
transform: translateY(var(--size-2-1));
|
||||
}
|
||||
.local-gpt-dropdown {
|
||||
position: absolute;
|
||||
top: 100%;
|
||||
left: 0;
|
||||
right: 0;
|
||||
margin-top: calc(var(--line-height-normal) * -1em);
|
||||
padding-top: calc(var(--line-height-normal) * 1em);
|
||||
background: var(--background-primary);
|
||||
border: var(--border-width) solid var(--background-modifier-border);
|
||||
border-radius: 0 0 var(--radius-l) var(--radius-l);
|
||||
box-shadow: var(--shadow-l);
|
||||
max-height: 240px;
|
||||
overflow-y: auto;
|
||||
scroll-behavior: smooth;
|
||||
z-index: 1;
|
||||
}
|
||||
.local-gpt-dropdown-item {
|
||||
display: grid;
|
||||
padding: var(--size-4-2) var(--size-4-3);
|
||||
cursor: pointer;
|
||||
border-bottom: var(--border-width) solid var(--background-modifier-border-hover);
|
||||
transition: background-color var(--anim-duration-fast) ease;
|
||||
font-size: var(--font-ui-small);
|
||||
line-height: var(--line-height-tight);
|
||||
}
|
||||
.local-gpt-dropdown-item:last-child {
|
||||
border-bottom: none;
|
||||
}
|
||||
.local-gpt-dropdown-item:hover,
|
||||
.local-gpt-dropdown-item.local-gpt-selected {
|
||||
background: var(--background-modifier-hover);
|
||||
}
|
||||
.local-gpt-dropdown-item.local-gpt-selected {
|
||||
background: var(--interactive-accent);
|
||||
color: var(--text-on-accent);
|
||||
}
|
||||
.local-gpt-file-name {
|
||||
display: block;
|
||||
font-weight: var(--font-ui-medium);
|
||||
margin-bottom: var(--size-2-1);
|
||||
}
|
||||
.local-gpt-file-path {
|
||||
display: block;
|
||||
font-size: var(--font-ui-smaller);
|
||||
color: var(--text-faint);
|
||||
white-space: nowrap;
|
||||
overflow: hidden;
|
||||
text-overflow: ellipsis;
|
||||
}
|
||||
.local-gpt-dropdown-item.local-gpt-selected .local-gpt-file-path {
|
||||
color: var(--text-on-accent);
|
||||
opacity: 0.8;
|
||||
}
|
||||
.local-gpt-command-name {
|
||||
display: block;
|
||||
font-weight: var(--font-ui-medium);
|
||||
margin-bottom: var(--size-2-1);
|
||||
}
|
||||
.local-gpt-command-description {
|
||||
display: block;
|
||||
font-size: var(--font-ui-smaller);
|
||||
color: var(--text-faint);
|
||||
white-space: nowrap;
|
||||
overflow: hidden;
|
||||
text-overflow: ellipsis;
|
||||
}
|
||||
.local-gpt-dropdown-item.local-gpt-selected .local-gpt-command-description {
|
||||
color: var(--text-on-accent);
|
||||
opacity: 0.8;
|
||||
}
|
||||
.cm-editor .local-gpt-action-palette .command-mention {
|
||||
background: var(--color-accent);
|
||||
color: var(--text-on-accent);
|
||||
padding: var(--size-2-1) var(--size-4-2);
|
||||
border-radius: var(--radius-s);
|
||||
cursor: pointer;
|
||||
user-select: none;
|
||||
transition: background-color var(--anim-duration-fast) ease;
|
||||
margin: 0 var(--size-2-1);
|
||||
display: inline-block;
|
||||
}
|
||||
.cm-editor .local-gpt-action-palette .command-mention:hover {
|
||||
background: var(--color-accent-hover);
|
||||
}
|
||||
.cm-editor .local-gpt-action-palette .command-mention:active {
|
||||
background: var(--color-accent-hover);
|
||||
transform: translateY(var(--size-2-1));
|
||||
}
|
||||
.cm-editor .local-gpt-action-palette:focus {
|
||||
border-color: var(--interactive-accent);
|
||||
box-shadow: 0 0 0 2px var(--interactive-accent), var(--shadow-s);
|
||||
}
|
||||
.cm-editor .local-gpt-fake-selection {
|
||||
box-shadow: inset 0 0 0 9999px var(--text-selection), 0 0 0 calc((var(--line-height-normal) - 1) / 4 * 1em) var(--text-selection);
|
||||
-webkit-box-decoration-break: clone;
|
||||
box-decoration-break: clone;
|
||||
}
|
||||
@keyframes local-gpt-dots {
|
||||
0% {
|
||||
content: "";
|
||||
opacity: 1;
|
||||
}
|
||||
59% {
|
||||
content: "";
|
||||
opacity: 1;
|
||||
}
|
||||
60% {
|
||||
content: ".";
|
||||
opacity: 1;
|
||||
}
|
||||
70% {
|
||||
content: "..";
|
||||
opacity: 1;
|
||||
}
|
||||
80% {
|
||||
content: "...";
|
||||
opacity: 1;
|
||||
}
|
||||
100% {
|
||||
opacity: 0.5;
|
||||
content: "...";
|
||||
}
|
||||
}
|
||||
@keyframes local-gpt-pulse {
|
||||
0% {
|
||||
opacity: 0.8;
|
||||
}
|
||||
50% {
|
||||
opacity: 1;
|
||||
}
|
||||
100% {
|
||||
opacity: 0.8;
|
||||
}
|
||||
}
|
||||
.local-gpt-loading::after {
|
||||
display: inline-table;
|
||||
white-space: pre;
|
||||
text-align: left;
|
||||
}
|
||||
.local-gpt-loading.local-gpt-dots::after {
|
||||
content: "\280b\a\2819\a\2839\a\2838\a\283c\a\2834\a\2826\a\2827\a\2807\a\280f";
|
||||
animation: local-gpt-spin10 1s steps(10) infinite;
|
||||
}
|
||||
.local-gpt-status {
|
||||
position: relative;
|
||||
}
|
||||
.local-gpt-status::before {
|
||||
content: attr(data-text);
|
||||
background-image: linear-gradient(to right, var(--status-bar-text-color) 30%, var(--interactive-accent-hover) 50%, var(--status-bar-text-color) 70%);
|
||||
background-clip: text;
|
||||
-webkit-text-fill-color: transparent;
|
||||
box-decoration-break: slice;
|
||||
display: inline-block;
|
||||
overflow: hidden;
|
||||
white-space: nowrap;
|
||||
animation: local-gpt-expandText 0.3s ease-out forwards, local-gpt-gradientMove 1.7s linear infinite;
|
||||
background-size: 200% 100%;
|
||||
background-position: -50% 0;
|
||||
}
|
||||
.local-gpt-status::after {
|
||||
content: attr(data-text);
|
||||
position: absolute;
|
||||
padding: 10px;
|
||||
margin-left: -10px;
|
||||
color: var(--interactive-accent-hover);
|
||||
display: inline-block;
|
||||
white-space: nowrap;
|
||||
filter: blur(1px);
|
||||
mask-image: linear-gradient(to right, transparent 30%, black 50%, transparent 70%);
|
||||
mask-size: 200% 100%;
|
||||
mask-position: -50% 0;
|
||||
animation: local-gpt-maskMove 1.7s linear infinite;
|
||||
mix-blend-mode: color-dodge;
|
||||
}
|
||||
@keyframes local-gpt-spin10 {
|
||||
to {
|
||||
transform: translateY(-15em);
|
||||
}
|
||||
}
|
||||
@keyframes local-gpt-expandText {
|
||||
from {
|
||||
max-width: 0;
|
||||
}
|
||||
to {
|
||||
max-width: 100%;
|
||||
}
|
||||
}
|
||||
@keyframes local-gpt-gradientMove {
|
||||
0% {
|
||||
background-position: -50% 0;
|
||||
}
|
||||
100% {
|
||||
background-position: 150% 0;
|
||||
}
|
||||
}
|
||||
@keyframes local-gpt-maskMove {
|
||||
0% {
|
||||
mask-position: -50% 0;
|
||||
}
|
||||
100% {
|
||||
mask-position: 150% 0;
|
||||
}
|
||||
}
|
||||
.local-gpt-provider-name {
|
||||
display: block;
|
||||
font-weight: var(--font-ui-medium);
|
||||
margin-bottom: var(--size-2-1);
|
||||
}
|
||||
.local-gpt-provider-url {
|
||||
display: block;
|
||||
font-size: var(--font-ui-smaller);
|
||||
color: var(--text-faint);
|
||||
white-space: nowrap;
|
||||
max-width: 50%;
|
||||
overflow: hidden;
|
||||
text-overflow: ellipsis;
|
||||
}
|
||||
.local-gpt-dropdown-item.local-gpt-selected .local-gpt-provider-url {
|
||||
color: var(--text-on-accent);
|
||||
opacity: 0.8;
|
||||
}
|
||||
.cm-editor .local-gpt-provider-badge {
|
||||
position: absolute;
|
||||
left: 0;
|
||||
right: 0;
|
||||
bottom: calc(var(--line-height-normal) * -1em);
|
||||
padding: var(--size-2-1) var(--size-4-2);
|
||||
border-radius: var(--radius-m);
|
||||
color: var(--text-muted);
|
||||
background: var(--background-secondary);
|
||||
border: var(--border-width) solid var(--background-modifier-border);
|
||||
font-size: var(--font-ui-medium);
|
||||
font-weight: var(--font-light);
|
||||
pointer-events: none;
|
||||
z-index: 0;
|
||||
display: grid;
|
||||
align-items: end;
|
||||
justify-items: end;
|
||||
height: 3em;
|
||||
}
|
||||
.cm-editor .local-gpt-provider-badge-label {
|
||||
justify-self: end;
|
||||
align-self: end;
|
||||
font-size: var(--font-smallest);
|
||||
line-height: var(--line-height-normal);
|
||||
color: var(--text-faint);
|
||||
text-shadow: var(--background-primary) 0 0 1px, var(--background-primary) 0 0 1px;
|
||||
transition: color 250ms ease-in-out, text-shadow 250ms ease-in-out;
|
||||
transition-delay: 0s;
|
||||
}
|
||||
.cm-editor .local-gpt-provider-badge-label.local-gpt-badge-highlight {
|
||||
color: var(--text-accent);
|
||||
text-shadow:
|
||||
0 0 1px var(--background-primary),
|
||||
0 0 2px var(--background-primary),
|
||||
0 0 4px var(--color-accent-2);
|
||||
transition-delay: 0.5s;
|
||||
}
|
||||
.local-gpt-provider-header {
|
||||
display: flex;
|
||||
align-items: baseline;
|
||||
justify-content: space-between;
|
||||
gap: var(--size-2-2);
|
||||
margin-bottom: var(--size-2-1);
|
||||
}
|
||||
.local-gpt-provider-model {
|
||||
display: block;
|
||||
font-size: var(--font-ui-smaller);
|
||||
color: var(--text-faint);
|
||||
white-space: nowrap;
|
||||
overflow: hidden;
|
||||
text-overflow: ellipsis;
|
||||
}
|
||||
.local-gpt-dropdown-item.local-gpt-selected .local-gpt-provider-model {
|
||||
color: var(--text-on-accent);
|
||||
opacity: 0.9;
|
||||
}
|
||||
.local-gpt-action-row {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
cursor: grab;
|
||||
}
|
||||
.local-gpt-drag-handle {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
margin-inline-end: var(--size-4-2);
|
||||
color: var(--text-faint);
|
||||
}
|
||||
.local-gpt-drag-handle:hover {
|
||||
color: var(--text-muted);
|
||||
}
|
||||
.local-gpt-sortable-chosen,
|
||||
.local-gpt-sortable-drag {
|
||||
background: var(--background-primary);
|
||||
border-radius: var(--radius-m);
|
||||
cursor: grabbing;
|
||||
}
|
||||
.local-gpt-sortable-ghost {
|
||||
opacity: 0;
|
||||
}
|
||||
.local-gpt-actions-container .setting-item:first-child {
|
||||
padding-top: var(--size-4-2);
|
||||
}
|
||||
.setting-item > .local-gpt-drag-handle {
|
||||
margin-inline-end: var(--size-4-2);
|
||||
}
|
||||
.local-gpt-drop-animate {
|
||||
position: relative;
|
||||
transform-origin: center;
|
||||
animation: local-gpt-goo-in var(--anim-duration-moderate) ease-out both;
|
||||
will-change: transform;
|
||||
}
|
||||
.local-gpt-drop-animate::before {
|
||||
content: "";
|
||||
position: absolute;
|
||||
inset: 0;
|
||||
border-radius: inherit;
|
||||
background: var(--background-modifier-hover);
|
||||
opacity: 0;
|
||||
pointer-events: none;
|
||||
animation: local-gpt-goo-glow var(--anim-duration-moderate) ease-out both;
|
||||
}
|
||||
@keyframes local-gpt-goo-in {
|
||||
0% {
|
||||
transform: translateY(-6px) scaleY(0.96);
|
||||
}
|
||||
35% {
|
||||
transform: translateY(2px) scaleY(1.04);
|
||||
}
|
||||
60% {
|
||||
transform: translateY(-2px) scaleY(0.99);
|
||||
}
|
||||
100% {
|
||||
transform: translateY(0) scaleY(1);
|
||||
}
|
||||
}
|
||||
.local-gpt-sortable-drag {
|
||||
position: relative;
|
||||
transform-origin: center;
|
||||
box-shadow: var(--shadow-m);
|
||||
z-index: var(--layer-popover);
|
||||
will-change: transform;
|
||||
}
|
||||
.local-gpt-sortable-drag::before {
|
||||
content: "";
|
||||
position: absolute;
|
||||
inset: 0;
|
||||
border-radius: inherit;
|
||||
background: var(--background-modifier-hover);
|
||||
opacity: 0.25;
|
||||
pointer-events: none;
|
||||
}
|
||||
.local-gpt-drop-neighbor-prev {
|
||||
animation: local-gpt-goo-nudge-prev var(--anim-duration-fast) ease-out both;
|
||||
will-change: transform;
|
||||
}
|
||||
.local-gpt-drop-neighbor-next {
|
||||
animation: local-gpt-goo-nudge-next var(--anim-duration-fast) ease-out both;
|
||||
will-change: transform;
|
||||
}
|
||||
@keyframes local-gpt-goo-nudge-prev {
|
||||
0% {
|
||||
transform: translateY(0);
|
||||
}
|
||||
30% {
|
||||
transform: translateY(-3px);
|
||||
}
|
||||
100% {
|
||||
transform: translateY(0);
|
||||
}
|
||||
}
|
||||
@keyframes local-gpt-goo-nudge-next {
|
||||
0% {
|
||||
transform: translateY(0);
|
||||
}
|
||||
30% {
|
||||
transform: translateY(3px);
|
||||
}
|
||||
100% {
|
||||
transform: translateY(0);
|
||||
}
|
||||
}
|
||||
@keyframes local-gpt-goo-glow {
|
||||
0% {
|
||||
opacity: 0.35;
|
||||
}
|
||||
100% {
|
||||
opacity: 0;
|
||||
}
|
||||
}
|
||||
45
.obsidian/plugins/templater-obsidian/main.js
vendored
Normal file
45
.obsidian/plugins/templater-obsidian/main.js
vendored
Normal file
File diff suppressed because one or more lines are too long
11
.obsidian/plugins/templater-obsidian/manifest.json
vendored
Normal file
11
.obsidian/plugins/templater-obsidian/manifest.json
vendored
Normal file
@ -0,0 +1,11 @@
|
||||
{
|
||||
"id": "templater-obsidian",
|
||||
"name": "Templater",
|
||||
"version": "2.16.4",
|
||||
"description": "Create and use templates",
|
||||
"minAppVersion": "1.5.0",
|
||||
"author": "SilentVoid",
|
||||
"authorUrl": "https://github.com/SilentVoid13",
|
||||
"helpUrl": "https://silentvoid13.github.io/Templater/",
|
||||
"isDesktopOnly": false
|
||||
}
|
||||
226
.obsidian/plugins/templater-obsidian/styles.css
vendored
Normal file
226
.obsidian/plugins/templater-obsidian/styles.css
vendored
Normal file
@ -0,0 +1,226 @@
|
||||
.templater_search {
|
||||
width: calc(100% - 20px);
|
||||
}
|
||||
|
||||
.templater_div {
|
||||
border-top: 1px solid var(--background-modifier-border);
|
||||
}
|
||||
|
||||
.templater_div > .setting-item {
|
||||
border-top: none !important;
|
||||
align-self: center;
|
||||
}
|
||||
|
||||
.templater_div > .setting-item > .setting-item-control {
|
||||
justify-content: space-around;
|
||||
padding: 0;
|
||||
width: 100%;
|
||||
}
|
||||
|
||||
.templater_div
|
||||
> .setting-item
|
||||
> .setting-item-control
|
||||
> .setting-editor-extra-setting-button {
|
||||
align-self: center;
|
||||
}
|
||||
|
||||
.templater_donating {
|
||||
margin: 10px;
|
||||
}
|
||||
|
||||
.templater_title {
|
||||
margin: 0;
|
||||
padding: 0;
|
||||
margin-top: 5px;
|
||||
text-align: center;
|
||||
}
|
||||
|
||||
.templater_template {
|
||||
align-self: center;
|
||||
margin-left: 5px;
|
||||
margin-right: 5px;
|
||||
width: 70%;
|
||||
}
|
||||
|
||||
.templater_cmd {
|
||||
margin-left: 5px;
|
||||
margin-right: 5px;
|
||||
font-size: 14px;
|
||||
width: 100%;
|
||||
}
|
||||
|
||||
.templater_div2 > .setting-item {
|
||||
align-content: center;
|
||||
justify-content: center;
|
||||
}
|
||||
|
||||
.templater-prompt-div,
|
||||
.templater-multisuggester-div {
|
||||
display: flex;
|
||||
}
|
||||
|
||||
.templater-prompt-form {
|
||||
display: flex;
|
||||
flex-grow: 1;
|
||||
}
|
||||
|
||||
.templater-prompt-input,
|
||||
.templater-multisuggester-input {
|
||||
flex-grow: 1;
|
||||
}
|
||||
|
||||
.templater-button-div {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
align-items: center;
|
||||
margin-top: 1rem;
|
||||
}
|
||||
|
||||
textarea.templater-prompt-input {
|
||||
height: 10rem;
|
||||
}
|
||||
|
||||
textarea.templater-prompt-input:focus {
|
||||
border-color: var(--interactive-accent);
|
||||
}
|
||||
|
||||
.templater-multisuggester-list {
|
||||
margin: 1.5em 0;
|
||||
}
|
||||
|
||||
.cm-s-obsidian .templater-command-bg {
|
||||
left: 0px;
|
||||
right: 0px;
|
||||
background-color: var(--background-primary-alt);
|
||||
}
|
||||
|
||||
.cm-s-obsidian .cm-templater-command {
|
||||
font-size: 0.85em;
|
||||
font-family: var(--font-monospace);
|
||||
line-height: 1.3;
|
||||
}
|
||||
|
||||
.cm-s-obsidian .templater-inline .cm-templater-command {
|
||||
background-color: var(--background-primary-alt);
|
||||
}
|
||||
|
||||
.cm-s-obsidian .cm-templater-command.cm-templater-opening-tag {
|
||||
font-weight: bold;
|
||||
}
|
||||
|
||||
.cm-s-obsidian .cm-templater-command.cm-templater-closing-tag {
|
||||
font-weight: bold;
|
||||
}
|
||||
|
||||
.cm-s-obsidian .cm-templater-command.cm-templater-interpolation-tag {
|
||||
color: var(--code-property, #008bff);
|
||||
}
|
||||
|
||||
.cm-s-obsidian .cm-templater-command.cm-templater-execution-tag {
|
||||
color: var(--code-function, #c0d700);
|
||||
}
|
||||
|
||||
.cm-s-obsidian .cm-templater-command.cm-keyword {
|
||||
color: var(--code-keyword, #00a7aa);
|
||||
font-weight: normal;
|
||||
}
|
||||
|
||||
.cm-s-obsidian .cm-templater-command.cm-atom {
|
||||
color: var(--code-normal, #f39b35);
|
||||
}
|
||||
|
||||
.cm-s-obsidian .cm-templater-command.cm-value,
|
||||
.cm-s-obsidian .cm-templater-command.cm-number,
|
||||
.cm-s-obsidian .cm-templater-command.cm-type {
|
||||
color: var(--code-value, #a06fca);
|
||||
}
|
||||
|
||||
.cm-s-obsidian .cm-templater-command.cm-def,
|
||||
.cm-s-obsidian .cm-templater-command.cm-type.cm-def {
|
||||
color: var(--code-normal, var(--text-normal));
|
||||
}
|
||||
|
||||
.cm-s-obsidian .cm-templater-command.cm-property,
|
||||
.cm-s-obsidian .cm-templater-command.cm-property.cm-def,
|
||||
.cm-s-obsidian .cm-templater-command.cm-attribute {
|
||||
color: var(--code-function, #98e342);
|
||||
}
|
||||
|
||||
.cm-s-obsidian .cm-templater-command.cm-variable,
|
||||
.cm-s-obsidian .cm-templater-command.cm-variable-2,
|
||||
.cm-s-obsidian .cm-templater-command.cm-variable-3,
|
||||
.cm-s-obsidian .cm-templater-command.cm-meta {
|
||||
color: var(--code-property, #d4d4d4);
|
||||
}
|
||||
|
||||
.cm-s-obsidian .cm-templater-command.cm-callee,
|
||||
.cm-s-obsidian .cm-templater-command.cm-operator,
|
||||
.cm-s-obsidian .cm-templater-command.cm-qualifier,
|
||||
.cm-s-obsidian .cm-templater-command.cm-builtin {
|
||||
color: var(--code-operator, #fc4384);
|
||||
}
|
||||
|
||||
.cm-s-obsidian .cm-templater-command.cm-tag {
|
||||
color: var(--code-tag, #fc4384);
|
||||
}
|
||||
|
||||
.cm-s-obsidian .cm-templater-command.cm-comment,
|
||||
.cm-s-obsidian .cm-templater-command.cm-comment.cm-tag,
|
||||
.cm-s-obsidian .cm-templater-command.cm-comment.cm-attribute {
|
||||
color: var(--code-comment, #696d70);
|
||||
}
|
||||
|
||||
.cm-s-obsidian .cm-templater-command.cm-string,
|
||||
.cm-s-obsidian .cm-templater-command.cm-string-2 {
|
||||
color: var(--code-string, #e6db74);
|
||||
}
|
||||
|
||||
.cm-s-obsidian .cm-templater-command.cm-header,
|
||||
.cm-s-obsidian .cm-templater-command.cm-hr {
|
||||
color: var(--code-keyword, #da7dae);
|
||||
}
|
||||
|
||||
.cm-s-obsidian .cm-templater-command.cm-link {
|
||||
color: var(--code-normal, #696d70);
|
||||
}
|
||||
|
||||
.cm-s-obsidian .cm-templater-command.cm-error {
|
||||
border-bottom: 1px solid #c42412;
|
||||
}
|
||||
|
||||
.CodeMirror-hints {
|
||||
position: absolute;
|
||||
z-index: 10;
|
||||
overflow: hidden;
|
||||
list-style: none;
|
||||
|
||||
margin: 0;
|
||||
padding: 2px;
|
||||
|
||||
-webkit-box-shadow: 2px 3px 5px rgba(0, 0, 0, 0.2);
|
||||
-moz-box-shadow: 2px 3px 5px rgba(0, 0, 0, 0.2);
|
||||
box-shadow: 2px 3px 5px rgba(0, 0, 0, 0.2);
|
||||
border-radius: 3px;
|
||||
border: 1px solid silver;
|
||||
|
||||
background: white;
|
||||
font-size: 90%;
|
||||
font-family: monospace;
|
||||
|
||||
max-height: 20em;
|
||||
overflow-y: auto;
|
||||
}
|
||||
|
||||
.CodeMirror-hint {
|
||||
margin: 0;
|
||||
padding: 0 4px;
|
||||
border-radius: 2px;
|
||||
white-space: pre;
|
||||
color: black;
|
||||
cursor: pointer;
|
||||
}
|
||||
|
||||
li.CodeMirror-hint-active {
|
||||
background: #08f;
|
||||
color: white;
|
||||
}
|
||||
231
.obsidian/workspace.json
vendored
Normal file
231
.obsidian/workspace.json
vendored
Normal file
@ -0,0 +1,231 @@
|
||||
{
|
||||
"main": {
|
||||
"id": "12b4064ee8da62c7",
|
||||
"type": "split",
|
||||
"children": [
|
||||
{
|
||||
"id": "bcc68500aa57ead2",
|
||||
"type": "tabs",
|
||||
"children": [
|
||||
{
|
||||
"id": "929d66922c9fed66",
|
||||
"type": "leaf",
|
||||
"state": {
|
||||
"type": "markdown",
|
||||
"state": {
|
||||
"file": "README.md",
|
||||
"mode": "source",
|
||||
"source": false,
|
||||
"backlinks": true,
|
||||
"backlinkOpts": {
|
||||
"collapseAll": false,
|
||||
"extraContext": false,
|
||||
"sortOrder": "alphabetical",
|
||||
"showSearch": false,
|
||||
"searchQuery": "",
|
||||
"backlinkCollapsed": false,
|
||||
"unlinkedCollapsed": true
|
||||
}
|
||||
},
|
||||
"icon": "lucide-file",
|
||||
"title": "README"
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
],
|
||||
"direction": "vertical"
|
||||
},
|
||||
"left": {
|
||||
"id": "336d2a6b274ef719",
|
||||
"type": "split",
|
||||
"children": [
|
||||
{
|
||||
"id": "aa680c35a6a2a492",
|
||||
"type": "tabs",
|
||||
"children": [
|
||||
{
|
||||
"id": "4fd243e680befac5",
|
||||
"type": "leaf",
|
||||
"state": {
|
||||
"type": "file-explorer",
|
||||
"state": {
|
||||
"sortOrder": "alphabetical",
|
||||
"autoReveal": false
|
||||
},
|
||||
"icon": "lucide-folder-closed",
|
||||
"title": "文件列表"
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "87214c8d838ba29e",
|
||||
"type": "leaf",
|
||||
"state": {
|
||||
"type": "search",
|
||||
"state": {
|
||||
"query": "",
|
||||
"matchingCase": false,
|
||||
"explainSearch": false,
|
||||
"collapseAll": false,
|
||||
"extraContext": false,
|
||||
"sortOrder": "alphabetical"
|
||||
},
|
||||
"icon": "lucide-search",
|
||||
"title": "搜索"
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "b49f5e211b74c5c6",
|
||||
"type": "leaf",
|
||||
"state": {
|
||||
"type": "bookmarks",
|
||||
"state": {},
|
||||
"icon": "lucide-bookmark",
|
||||
"title": "书签"
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
],
|
||||
"direction": "horizontal",
|
||||
"width": 300
|
||||
},
|
||||
"right": {
|
||||
"id": "bcd5a1ddf3bf1e55",
|
||||
"type": "split",
|
||||
"children": [
|
||||
{
|
||||
"id": "de6382cd433e8416",
|
||||
"type": "tabs",
|
||||
"children": [
|
||||
{
|
||||
"id": "5c938eb0880f619c",
|
||||
"type": "leaf",
|
||||
"state": {
|
||||
"type": "backlink",
|
||||
"state": {
|
||||
"file": "README.md",
|
||||
"collapseAll": false,
|
||||
"extraContext": false,
|
||||
"sortOrder": "alphabetical",
|
||||
"showSearch": false,
|
||||
"searchQuery": "",
|
||||
"backlinkCollapsed": false,
|
||||
"unlinkedCollapsed": true
|
||||
},
|
||||
"icon": "links-coming-in",
|
||||
"title": "README 的反向链接列表"
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "efac76290bc96c26",
|
||||
"type": "leaf",
|
||||
"state": {
|
||||
"type": "outgoing-link",
|
||||
"state": {
|
||||
"file": "README.md",
|
||||
"linksCollapsed": false,
|
||||
"unlinkedCollapsed": true
|
||||
},
|
||||
"icon": "links-going-out",
|
||||
"title": "README 的出链列表"
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "7999a438f18b01e7",
|
||||
"type": "leaf",
|
||||
"state": {
|
||||
"type": "tag",
|
||||
"state": {
|
||||
"sortOrder": "frequency",
|
||||
"useHierarchy": true,
|
||||
"showSearch": false,
|
||||
"searchQuery": ""
|
||||
},
|
||||
"icon": "lucide-tags",
|
||||
"title": "标签"
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "f6d74e23774b6a7c",
|
||||
"type": "leaf",
|
||||
"state": {
|
||||
"type": "all-properties",
|
||||
"state": {
|
||||
"sortOrder": "frequency",
|
||||
"showSearch": false,
|
||||
"searchQuery": ""
|
||||
},
|
||||
"icon": "lucide-archive",
|
||||
"title": "添加笔记属性"
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "e033c7e7c3201a5a",
|
||||
"type": "leaf",
|
||||
"state": {
|
||||
"type": "outline",
|
||||
"state": {
|
||||
"file": "README.md",
|
||||
"followCursor": false,
|
||||
"showSearch": false,
|
||||
"searchQuery": ""
|
||||
},
|
||||
"icon": "lucide-list",
|
||||
"title": "README 的大纲"
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "ed4ec91565ef0c9b",
|
||||
"type": "leaf",
|
||||
"state": {
|
||||
"type": "footnotes",
|
||||
"state": {
|
||||
"file": "README.md"
|
||||
},
|
||||
"icon": "lucide-file-signature",
|
||||
"title": "脚注"
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
],
|
||||
"direction": "horizontal",
|
||||
"width": 300,
|
||||
"collapsed": true
|
||||
},
|
||||
"left-ribbon": {
|
||||
"hiddenItems": {
|
||||
"switcher:打开快速切换": false,
|
||||
"graph:查看关系图谱": false,
|
||||
"canvas:新建白板": false,
|
||||
"daily-notes:打开/创建今天的日记": false,
|
||||
"templates:插入模板": false,
|
||||
"command-palette:打开命令面板": false,
|
||||
"bases:创建新数据库": false,
|
||||
"workspaces:管理工作区布局": false,
|
||||
"audio-recorder:开始/结束录音": false,
|
||||
"random-note:开始漫游笔记": false,
|
||||
"zk-prefixer:创建时间戳笔记": false
|
||||
}
|
||||
},
|
||||
"active": "929d66922c9fed66",
|
||||
"lastOpenFiles": [
|
||||
"202512271849.md",
|
||||
"未命名 3.md",
|
||||
"README.md",
|
||||
"未命名 4.md",
|
||||
"未命名 5.md",
|
||||
"未命名 2.md",
|
||||
"未命名 1.md",
|
||||
"未命名.md",
|
||||
"attachments/Recording 20251227184533.m4a",
|
||||
"attachments/Recording 20251227184524.m4a",
|
||||
"未命名",
|
||||
"202512271845.md",
|
||||
"202512271846.md",
|
||||
"attachments",
|
||||
"202512271844.md",
|
||||
"未命名.base"
|
||||
]
|
||||
}
|
||||
4
.obsidian/workspaces.json
vendored
Normal file
4
.obsidian/workspaces.json
vendored
Normal file
@ -0,0 +1,4 @@
|
||||
{
|
||||
"workspaces": {},
|
||||
"active": "2"
|
||||
}
|
||||
Loading…
x
Reference in New Issue
Block a user