From 859301869f4e2f2ece7d1e3edbde3b6d9ad126c3 Mon Sep 17 00:00:00 2001 From: Bikash Panda Date: Wed, 22 Jul 2026 08:27:43 +0530 Subject: [PATCH 1/3] Fixed! --- scripts/clean-release-artifacts.cjs | 1 + 1 file changed, 1 insertion(+) diff --git a/scripts/clean-release-artifacts.cjs b/scripts/clean-release-artifacts.cjs index 5a3512b2..4acb809c 100644 --- a/scripts/clean-release-artifacts.cjs +++ b/scripts/clean-release-artifacts.cjs @@ -26,6 +26,7 @@ if (fs.existsSync(artifactsDir)) { if ( entry.name.toLowerCase().endsWith(".exe") + || entry.name.toLowerCase().endsWith(".zip") || entry.name.toLowerCase().endsWith(".blockmap") || entry.name.endsWith(".yml") || entry.name.endsWith(".yaml") From e3f2eb5c37b9abb2955ad65bcb563bc69160056a Mon Sep 17 00:00:00 2001 From: Bikash Panda Date: Wed, 22 Jul 2026 09:30:08 +0530 Subject: [PATCH 2/3] refactor: fix tool calling schemas and unpack ONNX binaries - Remove Zod refines in tools to fix Vercel AI SDK required parameter generation - Add onnxruntime-node/web to asarUnpack in package.json to fix local graph models in production - Add hardware/rate-limit warnings and key setup links in onboarding & settings - Remove redundant conversational tool-pruning in QueryExecutor - Sandbox filesystem access strictly inside workspace boundaries --- THIRD_PARTY_NOTICES.txt | 982 +++++++++++++++++- ai/core/QueryExecutor.js | 11 - ai/core/system_prompt.md | 23 +- ai/providers/LocalONNXProvider.js | 53 + ai/tools/ToolRegistry.js | 480 +-------- electron/ai/aiHandlers.cjs | 16 + electron/preload.cjs | 2 + .../services/KnowledgeApplicationService.cjs | 193 ++++ electron/services/NoteApplicationService.cjs | 217 ++++ .../services/WorkspaceApplicationService.cjs | 85 ++ electron/tools/ApplicationToolRegistry.cjs | 544 ++++++++++ package.json | 3 +- src/components/AISettings.jsx | 37 + src/components/OnboardingFlow.jsx | 121 ++- src/services/electronService.js | 19 + tests/applicationToolRegistry.test.js | 90 ++ 16 files changed, 2327 insertions(+), 549 deletions(-) create mode 100644 electron/services/KnowledgeApplicationService.cjs create mode 100644 electron/services/NoteApplicationService.cjs create mode 100644 electron/services/WorkspaceApplicationService.cjs create mode 100644 electron/tools/ApplicationToolRegistry.cjs create mode 100644 tests/applicationToolRegistry.test.js diff --git a/THIRD_PARTY_NOTICES.txt b/THIRD_PARTY_NOTICES.txt index e4d63632..5ecebcd3 100644 --- a/THIRD_PARTY_NOTICES.txt +++ b/THIRD_PARTY_NOTICES.txt @@ -1,10 +1,10 @@ THIRD-PARTY SOFTWARE NOTICES AND INFORMATION Notely incorporates components from the projects listed below. -This file was generated automatically on 2026-07-21 by +This file was generated automatically on 2026-07-22 by scripts/generate-notices.cjs. Do not edit by hand. -Total third-party packages: 449 +Total third-party packages: 455 ================================================================================ @@ -1481,6 +1481,453 @@ CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. -------------------------------------------------------------------------------- +@huggingface/jinja@0.5.9 +License: MIT +Author: Hugging Face +Homepage: https://github.com/huggingface/huggingface.js.git + +MIT License + +Copyright (c) 2023 Hugging Face + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. 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We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + + Copyright [yyyy] [name of copyright owner] + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. + +-------------------------------------------------------------------------------- + +@huggingface/transformers@4.2.0 +License: Apache-2.0 +Author: Hugging Face +Homepage: https://github.com/huggingface/transformers.js#readme + +Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. Definitions. + + "License" shall mean the terms and conditions for use, reproduction, + and distribution as defined by Sections 1 through 9 of this document. + + "Licensor" shall mean the copyright owner or entity authorized by + the copyright owner that is granting the License. + + "Legal Entity" shall mean the union of the acting entity and all + other entities that control, are controlled by, or are under common + control with that entity. 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If You + institute patent litigation against any entity (including a + cross-claim or counterclaim in a lawsuit) alleging that the Work + or a Contribution incorporated within the Work constitutes direct + or contributory patent infringement, then any patent licenses + granted to You under this License for that Work shall terminate + as of the date such litigation is filed. + + 4. Redistribution. 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Unless required by applicable law or + agreed to in writing, Licensor provides the Work (and each + Contributor provides its Contributions) on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or + implied, including, without limitation, any warranties or conditions + of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A + PARTICULAR PURPOSE. You are solely responsible for determining the + appropriateness of using or redistributing the Work and assume any + risks associated with Your exercise of permissions under this License. + + 8. Limitation of Liability. In no event and under no legal theory, + whether in tort (including negligence), contract, or otherwise, + unless required by applicable law (such as deliberate and grossly + negligent acts) or agreed to in writing, shall any Contributor be + liable to You for damages, including any direct, indirect, special, + incidental, or consequential damages of any character arising as a + result of this License or out of the use or inability to use the + Work (including but not limited to damages for loss of goodwill, + work stoppage, computer failure or malfunction, or any and all + other commercial damages or losses), even if such Contributor + has been advised of the possibility of such damages. + + 9. Accepting Warranty or Additional Liability. While redistributing + the Work or Derivative Works thereof, You may choose to offer, + and charge a fee for, acceptance of support, warranty, indemnity, + or other liability obligations and/or rights consistent with this + License. However, in accepting such obligations, You may act only + on Your own behalf and on Your sole responsibility, not on behalf + of any other Contributor, and only if You agree to indemnify, + defend, and hold each Contributor harmless for any liability + incurred by, or claims asserted against, such Contributor by reason + of your accepting any such warranty or additional liability. + + END OF TERMS AND CONDITIONS + + APPENDIX: How to apply the Apache License to your work. + + To apply the Apache License to your work, attach the following + boilerplate notice, with the fields enclosed by brackets "[]" + replaced with your own identifying information. (Don't include + the brackets!) The text should be enclosed in the appropriate + comment syntax for the file format. We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + + Copyright [yyyy] [name of copyright owner] + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. + +-------------------------------------------------------------------------------- + @iconify/types@2.0.0 License: MIT Author: Vjacheslav Trushkin @@ -1515,27 +1962,116 @@ License: MIT Author: Vjacheslav Trushkin Homepage: https://iconify.design/docs/libraries/utils/ -MIT License +MIT License + +Copyright (c) 2021-PRESENT Vjacheslav Trushkin + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. + +-------------------------------------------------------------------------------- + +@img/colour@1.1.0 +License: MIT +Homepage: https://github.com/lovell/colour.git + +# Licensing + +## color + +Copyright (c) 2012 Heather Arthur + +Permission is hereby granted, free of charge, to any person obtaining +a copy of this software and associated documentation files (the +"Software"), to deal in the Software without restriction, including +without limitation the rights to use, copy, modify, merge, publish, +distribute, sublicense, and/or sell copies of the Software, and to +permit persons to whom the Software is furnished to do so, subject to +the following conditions: + +The above copyright notice and this permission notice shall be +included in all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF +MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND +NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE +LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION +OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION +WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. + +## color-convert + +Copyright (c) 2011-2016 Heather Arthur . +Copyright (c) 2016-2021 Josh Junon . + +Permission is hereby granted, free of charge, to any person obtaining +a copy of this software and associated documentation files (the +"Software"), to deal in the Software without restriction, including +without limitation the rights to use, copy, modify, merge, publish, +distribute, sublicense, and/or sell copies of the Software, and to +permit persons to whom the Software is furnished to do so, subject to +the following conditions: + +The above copyright notice and this permission notice shall be +included in all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF +MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND +NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE +LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION +OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION +WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. + +## color-string + +Copyright (c) 2011 Heather Arthur + +Permission is hereby granted, free of charge, to any person obtaining +a copy of this software and associated documentation files (the +"Software"), to deal in the Software without restriction, including +without limitation the rights to use, copy, modify, merge, publish, +distribute, sublicense, and/or sell copies of the Software, and to +permit persons to whom the Software is furnished to do so, subject to +the following conditions: + +The above copyright notice and this permission notice shall be +included in all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF +MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND +NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE +LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION +OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION +WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. -Copyright (c) 2021-PRESENT Vjacheslav Trushkin +## color-name -Permission is hereby granted, free of charge, to any person obtaining a copy -of this software and associated documentation files (the "Software"), to deal -in the Software without restriction, including without limitation the rights -to use, copy, modify, merge, publish, distribute, sublicense, and/or sell -copies of the Software, and to permit persons to whom the Software is -furnished to do so, subject to the following conditions: +The MIT License (MIT) +Copyright (c) 2015 Dmitry Ivanov -The above copyright notice and this permission notice shall be included in all -copies or substantial portions of the Software. +Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: -THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR -IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, -FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE -AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER -LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, -OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE -SOFTWARE. +The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. -------------------------------------------------------------------------------- @@ -6436,6 +6972,215 @@ THE SOFTWARE. -------------------------------------------------------------------------------- +detect-libc@2.1.2 +License: Apache-2.0 +Author: Lovell Fuller +Homepage: git://github.com/lovell/detect-libc.git + +Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. Definitions. + + "License" shall mean the terms and conditions for use, reproduction, + and distribution as defined by Sections 1 through 9 of this document. + + "Licensor" shall mean the copyright owner or entity authorized by + the copyright owner that is granting the License. + + "Legal Entity" shall mean the union of the acting entity and all + other entities that control, are controlled by, or are under common + control with that entity. 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For the purposes + of this License, Derivative Works shall not include works that remain + separable from, or merely link (or bind by name) to the interfaces of, + the Work and Derivative Works thereof. + + "Contribution" shall mean any work of authorship, including + the original version of the Work and any modifications or additions + to that Work or Derivative Works thereof, that is intentionally + submitted to Licensor for inclusion in the Work by the copyright owner + or by an individual or Legal Entity authorized to submit on behalf of + the copyright owner. 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However, +in accepting such obligations, You may act only on Your own behalf and on Your +sole responsibility, not on behalf of any other Contributor, and only if You +agree to indemnify, defend, and hold each Contributor harmless for any liability +incurred by, or claims asserted against, such Contributor by reason of your +accepting any such warranty or additional liability. + +END OF TERMS AND CONDITIONS + +APPENDIX: How to apply the Apache License to your work + +To apply the Apache License to your work, attach the following boilerplate +notice, with the fields enclosed by brackets "[]" replaced with your own +identifying information. (Don't include the brackets!) The text should be +enclosed in the appropriate comment syntax for the file format. We also +recommend that a file or class name and description of purpose be included on +the same "printed page" as the copyright notice for easier identification within +third-party archives. + + Copyright [yyyy] [name of copyright owner] + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. + +-------------------------------------------------------------------------------- + shebang-command@2.0.0 License: MIT Author: Kevin Mårtensson diff --git a/ai/core/QueryExecutor.js b/ai/core/QueryExecutor.js index 7fbe7a87..d6c350fc 100644 --- a/ai/core/QueryExecutor.js +++ b/ai/core/QueryExecutor.js @@ -73,18 +73,7 @@ class QueryExecutor { ...contextEngineTools }; - // Prune tools for conversational follow-up queries to prevent redundant tool execution - const cleanQuery = query.toLowerCase().trim(); - const followUpKeywords = [ - 'suggest', 'pick', 'choose', 'first', 'second', 'third', 'next', 'which', - 'ok', 'great', 'fine', 'yes', 'no', 'sure', 'why', 'how about', 'what do you think' - ]; - const isFollowUp = cleanQuery.length < 50 && followUpKeywords.some(kw => cleanQuery.includes(kw)); - let toolChoice = 'auto'; - if (isFollowUp && ceMessages.length > 0) { - toolChoice = 'none'; - } // Build messages array let messages = []; diff --git a/ai/core/system_prompt.md b/ai/core/system_prompt.md index 15a7c1ac..7462c1ab 100644 --- a/ai/core/system_prompt.md +++ b/ai/core/system_prompt.md @@ -30,15 +30,19 @@ You have access to the user's local workspace context: - Do not repeat lists of items or recapping the same information multiple times unless explicitly requested. ### C. Specific Tools -- `get_tasks`: Retrieve open tasks from the workspace notes. Use this when the user specifically asks to find, list, or summarize their tasks. -- `read_note`: Retrieve the content of a specific note file. Supports `start_line` and `end_line` parameters for paginating large documents. -- `search_notes`: Perform a unified RRF (Reciprocal Rank Fusion) hybrid search combining semantic vector search and knowledge graph traversal. -- `exploreGraph` or `explore_graph`: Query the knowledge graph database for note relations, wikilinks, and tags. -- `git_diff`: Retrieve the active git workspace diff showing local unstaged/modified changes to notes. -- `git_commit`: Stage and commit modified files with a user-supplied message. -- `read_pdf`: Read and extract plain text from local PDF note attachments. -- `resolve_folder_link`: Resolve folder contents and list markdown notes inside subdirectories. -- `get_current_date`: Retrieve the current date and time. **Required**: Execute this tool first before answering any questions about relative dates (e.g. "today", "yesterday", "this week"). +- `read_note`: Retrieve the contents of a specific note file in the workspace. Use `startLine` and `maxLines` to paginate/limit output. +- `create_note`: Create a new note with a title, initial content, and target folder in the workspace. +- `move_note`: Move or rename a note within the workspace. +- `get_tasks`: Extract checklist tasks across notes in the workspace. Supports filtering by status (open, completed, all) and note path. +- `search_notes`: Search note files matching a query string in the workspace. +- `semantic_search`: Find semantically similar notes using vector embeddings. +- `hybrid_search`: Perform a hybrid search combining full-text keyword search and semantic vector similarity. +- `get_graph`: Traverse knowledge graph relationships for a given note. +- `find_clusters`: Get semantic topic clusters across the workspace. +- `knowledge_status`: Retrieve the indexing and health status of the knowledge engines. +- `reindex_knowledge`: Trigger background reindexing of the knowledge graph and embeddings. +- `workspace_stats`: Get workspace health, document counts, and storage metrics. +- `recent_activity`: Get a list of recently modified notes in the workspace. --- @@ -62,6 +66,7 @@ You have access to the user's local workspace context: 2. **NEVER** speculate about what tasks the user "might" have or invent task checklist items to make lists look complete. 3. **NEVER** invent links between notes (wikilinks) unless the graph retriever explicitly confirms the relationship exists. 4. **NEVER** use pre-training knowledge to describe workspace content. All workspace information must come strictly from the live tool outputs. +5. **NEVER** attempt to access, refer to, or edit any file paths located outside the active workspace root. All operations are strictly sandboxed within the workspace boundaries. ### Strict Verification Loop (Mental Checklist) 1. Is every note path cited as a `file:///` link present in the raw tool outputs? If not, delete it. diff --git a/ai/providers/LocalONNXProvider.js b/ai/providers/LocalONNXProvider.js index 31defbc2..9250c923 100644 --- a/ai/providers/LocalONNXProvider.js +++ b/ai/providers/LocalONNXProvider.js @@ -104,6 +104,59 @@ class LocalONNXProvider extends LLMProvider { return true; } + async getModelInstance() { + const self = this; + return { + specificationVersion: 'v4', + provider: 'local', + modelId: 'Qwen2.5-0.5B-Instruct-ONNX', + defaultObjectGenerationMode: undefined, + async doGenerate(options) { + const response = await self.generateChatCompletion(options.prompt || options.messages, { + maxTokens: options.maxTokens, + temperature: options.temperature + }); + return { + text: response.text, + finishReason: 'stop', + usage: { + promptTokens: 0, + completionTokens: 0 + }, + rawCall: { rawPrompt: options.prompt, rawSettings: {} } + }; + }, + async doStream(options) { + const response = await self.generateChatCompletion(options.prompt || options.messages, { + maxTokens: options.maxTokens, + temperature: options.temperature + }); + + const text = response.text; + + const stream = new ReadableStream({ + start(controller) { + controller.enqueue({ + type: 'text-delta', + textDelta: text + }); + controller.close(); + } + }); + + return { + stream, + finishReason: 'stop', + usage: { + promptTokens: 0, + completionTokens: 0 + }, + rawCall: { rawPrompt: options.prompt, rawSettings: {} } + }; + } + }; + } + async generateText(prompt, options = {}) { if (!this.isInitialized) await this.initialize(); const { maxTokens = 512, temperature = 0.7 } = options; diff --git a/ai/tools/ToolRegistry.js b/ai/tools/ToolRegistry.js index e7e1b2bd..aaf14b87 100644 --- a/ai/tools/ToolRegistry.js +++ b/ai/tools/ToolRegistry.js @@ -1,478 +1,30 @@ /** - * ToolRegistry - Registry of tools available to the AI agent during chat sessions + * ToolRegistry.js + * AI Engine bridge to the central Application Tool Registry. + * Translates Vercel AI SDK getTools calls to applicationToolRegistry capabilities. + * Direct filesystem/DB access is strictly prohibited in this layer. */ +const { applicationToolRegistry } = require('../../electron/tools/ApplicationToolRegistry.cjs'); const { createLogger } = require('../core/logger'); -const fs = require('fs'); const log = createLogger('ToolRegistry'); async function getTools(agentInstance) { try { - const { tool } = await import('ai'); - const { z } = await import('zod'); - - return { - read_note: tool({ - description: 'Read the contents of a specific note file in the workspace.', - parameters: z.object({ - file_path: z.string().describe('The relative or absolute path to the note file to read.'), - start_line: z.number().int().min(1).optional().describe('Start line number to read (optional, default 1).'), - end_line: z.number().int().min(1).optional().describe('End line number to read (optional, default: reads up to 10,000 chars).') - }), - execute: async (args) => { - log.info(`Executing read_note tool with raw args: ${JSON.stringify(args)}`); - let filePath = args?.file_path || args?.filePath; - const startLine = args?.start_line || args?.startLine || 1; - const endLine = args?.end_line || args?.endLine || null; - try { - if (!filePath) return 'Error: file_path is required.'; - const path = require('path'); - if (!path.isAbsolute(filePath) && agentInstance?.workspaceRoot) { - filePath = path.resolve(agentInstance.workspaceRoot, filePath); - } - if (!fs.existsSync(filePath)) { - return `Error: Note file at path "${filePath}" does not exist.`; - } - const content = fs.readFileSync(filePath, 'utf8'); - const lines = content.split(/\r?\n/); - - if (endLine !== null) { - const sliced = lines.slice(startLine - 1, endLine).join('\n'); - return sliced; - } - - // Default: read from startLine, cap output size at 10,000 characters - const remainingText = lines.slice(startLine - 1).join('\n'); - if (remainingText.length > 10000) { - return remainingText.slice(0, 10000) + '\n\n... [Content truncated due to size. Use start_line and end_line parameters to read further.]'; - } - return remainingText; - } catch (err) { - return `Error reading file: ${err.message}`; - } - } - }), - - search_notes: tool({ - description: 'Search for note files containing a query string in the workspace.', - parameters: z.object({ - query: z.string().describe('The search term or phrase.') - }), - execute: async (args) => { - log.info(`Executing search_notes tool with raw args: ${JSON.stringify(args)}`); - const { query } = args || {}; - try { - if (!query) return '[]'; - if (!agentInstance || !agentInstance.documentService) { - return 'Error: Document indexing service is not active.'; - } - const files = agentInstance.documentService._collectMarkdownFiles(agentInstance.workspaceRoot); - const results = []; - for (const filePath of files) { - try { - const text = fs.readFileSync(filePath, 'utf8'); - if (filePath.toLowerCase().includes(query.toLowerCase()) || text.toLowerCase().includes(query.toLowerCase())) { - results.push({ path: filePath, preview: text.slice(0, 150) + '...' }); - } - } catch { - // skip unreadable - } - } - return JSON.stringify(results.slice(0, 10), null, 2); - } catch (err) { - return `Error searching: ${err.message}`; - } - } - }), - - workspace_stats: tool({ - description: 'Get total notes and workspace information.', - parameters: z.object({}), - execute: async () => { - log.info('Executing workspace_stats tool'); - try { - const files = agentInstance.documentService._collectMarkdownFiles(agentInstance.workspaceRoot); - return JSON.stringify({ - totalNotes: files.length, - workspaceRoot: agentInstance.workspaceRoot, - indexingStatus: 'complete' - }, null, 2); - } catch (err) { - return `Error getting stats: ${err.message}`; - } - } - }), - - get_tasks: tool({ - description: 'Get all checklist tasks across all notes in the workspace, including open, in-progress, and completed items.', - parameters: z.object({ - status: z.enum(['all', 'open', 'completed']).optional().describe('Filter tasks by status: open (unchecked/in-progress), completed (checked), or all.') - }), - execute: async (args) => { - log.info(`Executing get_tasks tool with raw args: ${JSON.stringify(args)}`); - const statusFilter = args?.status || 'all'; - try { - if (!agentInstance || !agentInstance.workspaceRoot) { - return 'Error: No workspace active.'; - } - const files = agentInstance.documentService._collectMarkdownFiles(agentInstance.workspaceRoot); - const tasksList = []; - for (const filePath of files) { - try { - const text = fs.readFileSync(filePath, 'utf8'); - const lines = text.split(/\r?\n/); - lines.forEach((line, index) => { - const match = line.match(/^\s*[-*+]?\s*\[([ xX/])\]\s+(.+)$/); - if (match) { - const symbol = match[1].toLowerCase(); - const taskText = match[2].trim(); - const isCompleted = symbol === 'x'; - const isOpen = symbol === ' ' || symbol === '/'; - - if (statusFilter === 'open' && !isOpen) return; - if (statusFilter === 'completed' && !isCompleted) return; - - tasksList.push({ - note: filePath.split(/[\\/]/).pop(), - path: filePath, - line: index + 1, - text: taskText, - status: isCompleted ? 'completed' : symbol === '/' ? 'in-progress' : 'open' - }); - } - }); - } catch { - // skip unreadable - } - } - return JSON.stringify(tasksList.slice(0, 50), null, 2); - } catch (err) { - return `Error listing tasks: ${err.message}`; - } - } - }), - - list_notes: tool({ - description: 'List all note files in the workspace (optionally filtered by subfolder).', - parameters: z.object({ - subfolder: z.string().optional().describe('An optional relative subfolder path within the workspace to restrict listing to.') - }), - execute: async (args) => { - log.info(`Executing list_notes tool with raw args: ${JSON.stringify(args)}`); - const subfolder = args?.subfolder || ''; - try { - if (!agentInstance || !agentInstance.workspaceRoot) { - return 'Error: No workspace active.'; - } - const path = require('path'); - const files = agentInstance.documentService._collectMarkdownFiles(agentInstance.workspaceRoot); - const matchedFiles = files.filter(filePath => { - if (!subfolder) return true; - const relativePath = path.relative(agentInstance.workspaceRoot, filePath); - return relativePath.toLowerCase().includes(subfolder.toLowerCase()); - }); - return JSON.stringify(matchedFiles.map(filePath => ({ - fileName: filePath.split(/[\\/]/).pop(), - filePath: filePath - })).slice(0, 100), null, 2); - } catch (err) { - return `Error listing notes: ${err.message}`; - } - } - }), - - get_tags: tool({ - description: 'List all unique tags used across workspace notes, with the notes that carry each tag.', - parameters: z.object({ - tag: z.string().optional().describe('Filter to notes that have this specific tag (case-insensitive).') - }), - execute: async (args) => { - log.info(`Executing get_tags tool with raw args: ${JSON.stringify(args)}`); - const filterTag = (args?.tag || '').toLowerCase(); - try { - if (!agentInstance || !agentInstance.workspaceRoot) return 'Error: No workspace active.'; - const files = agentInstance.documentService._collectMarkdownFiles(agentInstance.workspaceRoot); - const tagMap = {}; // tag -> [filenames] - for (const filePath of files) { - try { - const text = fs.readFileSync(filePath, 'utf8'); - const fmMatch = text.match(/^---\r?\n([\s\S]*?)\r?\n---/); - if (!fmMatch) continue; - const fmBlock = fmMatch[1]; - // Extract tags list items - const tagSection = fmBlock.match(/^tags:\s*\n((?:\s+-\s+.+\n?)*)/m); - if (!tagSection) continue; - const tagLines = tagSection[1].matchAll(/^\s+-\s+(.+)$/gm); - const noteName = filePath.split(/[\\/]/).pop(); - for (const tl of tagLines) { - const t = tl[1].trim().toLowerCase(); - if (!tagMap[t]) tagMap[t] = []; - tagMap[t].push(noteName); - } - } catch { /* skip */ } - } - if (filterTag) { - const notes = tagMap[filterTag] || []; - return JSON.stringify({ tag: filterTag, notes }, null, 2); - } - return JSON.stringify(tagMap, null, 2); - } catch (err) { - return `Error getting tags: ${err.message}`; - } - } - }), - - get_recent_notes: tool({ - description: 'List recently modified notes in the workspace, newest first.', - parameters: z.object({ - limit: z.number().int().min(1).max(20).optional().describe('Max number of notes to return (default 10).') - }), - execute: async (args) => { - log.info(`Executing get_recent_notes tool with raw args: ${JSON.stringify(args)}`); - const limit = args?.limit || 10; - try { - if (!agentInstance || !agentInstance.workspaceRoot) return 'Error: No workspace active.'; - const files = agentInstance.documentService._collectMarkdownFiles(agentInstance.workspaceRoot); - const withMtime = files.map(filePath => { - try { - const mtime = fs.statSync(filePath).mtime; - return { fileName: filePath.split(/[\\/]/).pop(), filePath, modifiedAt: mtime.toISOString() }; - } catch { - return null; - } - }).filter(Boolean); - withMtime.sort((a, b) => new Date(b.modifiedAt) - new Date(a.modifiedAt)); - return JSON.stringify(withMtime.slice(0, limit), null, 2); - } catch (err) { - return `Error getting recent notes: ${err.message}`; - } - } - }), - - get_headings: tool({ - description: 'Extract markdown headings from a specific note or, if no file path given, from all notes in the workspace.', - parameters: z.object({ - file_path: z.string().optional().describe('Absolute path to a specific note. Omit to scan all notes.'), - max_level: z.number().int().min(1).max(6).optional().describe('Maximum heading level to include (1=H1 only, 6=all).') - }), - execute: async (args) => { - log.info(`Executing get_headings tool with raw args: ${JSON.stringify(args)}`); - const maxLevel = args?.max_level || 6; - const headingRegex = new RegExp(`^(#{1,${maxLevel}})\\s+(.+)$`, 'gm'); - try { - if (!agentInstance || !agentInstance.workspaceRoot) return 'Error: No workspace active.'; - const files = args?.file_path - ? [args.file_path] - : agentInstance.documentService._collectMarkdownFiles(agentInstance.workspaceRoot); - const results = []; - for (const filePath of files) { - try { - const text = fs.readFileSync(filePath, 'utf8'); - const headings = []; - let m; - headingRegex.lastIndex = 0; - while ((m = headingRegex.exec(text)) !== null) { - headings.push({ level: m[1].length, text: m[2].trim() }); - } - if (headings.length) { - results.push({ note: filePath.split(/[\\/]/).pop(), filePath, headings }); - } - } catch { /* skip */ } - } - return JSON.stringify(results, null, 2); - } catch (err) { - return `Error getting headings: ${err.message}`; - } - } - }), - - get_current_date: tool({ - description: 'Returns the current date and time. Use this before answering any question involving "today", "this week", "upcoming", "overdue", or relative time.', - parameters: z.object({}), - execute: async () => { - log.info('Executing get_current_date tool'); - const now = new Date(); - return JSON.stringify({ - iso: now.toISOString(), - date: now.toLocaleDateString('en-CA'), // YYYY-MM-DD - time: now.toLocaleTimeString('en-GB', { hour12: false }), - dayOfWeek: now.toLocaleDateString('en-US', { weekday: 'long' }), - }, null, 2); - } - }), - - get_people: tool({ - description: 'Find people mentioned in workspace notes via @mentions or frontmatter attendees/people fields.', - parameters: z.object({ - name: z.string().optional().describe('Filter to notes that mention this specific person (case-insensitive).') - }), - execute: async (args) => { - log.info(`Executing get_people tool with raw args: ${JSON.stringify(args)}`); - const filterName = (args?.name || '').toLowerCase(); - try { - if (!agentInstance || !agentInstance.workspaceRoot) return 'Error: No workspace active.'; - const files = agentInstance.documentService._collectMarkdownFiles(agentInstance.workspaceRoot); - const personMap = {}; // person -> [filenames] - for (const filePath of files) { - try { - const text = fs.readFileSync(filePath, 'utf8'); - const noteName = filePath.split(/[\\/]/).pop(); - const people = new Set(); - - // 1. Frontmatter attendees / people list - const fmMatch = text.match(/^---\r?\n([\s\S]*?)\r?\n---/); - if (fmMatch) { - const fmBlock = fmMatch[1]; - for (const field of ['attendees', 'people', 'participants', 'authors']) { - const section = fmBlock.match(new RegExp(`^${field}:\\s*\\n((?:\\s+-\\s+.+\\n?)*)`, 'm')); - if (section) { - for (const m of section[1].matchAll(/^\s+-\s+(.+)$/gm)) { - people.add(m[1].trim().toLowerCase()); - } - } - // also handle inline: attendees: Alice, Bob - const inline = fmBlock.match(new RegExp(`^${field}:\\s*(.+)$`, 'm')); - if (inline) { - inline[1].split(',').forEach(p => people.add(p.trim().toLowerCase())); - } - } - } - - // 2. @mention pattern in body - for (const m of text.matchAll(/@([\w.-]+)/g)) { - people.add(m[1].toLowerCase()); - } - - for (const person of people) { - if (!personMap[person]) personMap[person] = []; - personMap[person].push(noteName); - } - } catch { /* skip */ } - } - - if (filterName) { - // Find exact match or partial - const matched = Object.entries(personMap) - .filter(([p]) => p.includes(filterName)) - .reduce((acc, [p, notes]) => { acc[p] = notes; return acc; }, {}); - return JSON.stringify(matched, null, 2); - } - return JSON.stringify(personMap, null, 2); - } catch (err) { - return `Error getting people: ${err.message}`; - } - } - }), - - git_diff: tool({ - description: 'Get local git diff of modified and unstaged note changes in the active workspace.', - parameters: z.object({}), - execute: async () => { - log.info('Executing git_diff tool'); - try { - if (!agentInstance || !agentInstance.workspaceRoot) { - return 'Error: No workspace active.'; - } - const simpleGit = require('simple-git'); - const git = simpleGit(agentInstance.workspaceRoot); - const diff = await git.diff(); - return diff || 'No local changes detected.'; - } catch (err) { - return `Error getting git diff: ${err.message}`; - } - } - }), - - git_commit: tool({ - description: 'Stage all files and commit note changes in the active workspace with a commit message.', - parameters: z.object({ - message: z.string().describe('The commit message summarizing the changes.') - }), - execute: async (args) => { - log.info(`Executing git_commit tool with args: ${JSON.stringify(args)}`); - const { message } = args || {}; - try { - if (!message) return 'Error: Commit message is required.'; - if (!agentInstance || !agentInstance.workspaceRoot) { - return 'Error: No workspace active.'; - } - const simpleGit = require('simple-git'); - const git = simpleGit(agentInstance.workspaceRoot); - await git.add('./*'); - const commitResult = await git.commit(message); - return JSON.stringify(commitResult, null, 2); - } catch (err) { - return `Error committing changes: ${err.message}`; - } - } - }), - - read_pdf: tool({ - description: 'Read and extract plain text from a specific PDF document attachment in the workspace.', - parameters: z.object({ - file_path: z.string().describe('The absolute path to the PDF file to read.') - }), - execute: async (args) => { - log.info(`Executing read_pdf tool with args: ${JSON.stringify(args)}`); - let filePath = args?.file_path || args?.filePath; - try { - if (!filePath) return 'Error: file_path is required.'; - const path = require('path'); - if (!path.isAbsolute(filePath) && agentInstance?.workspaceRoot) { - filePath = path.resolve(agentInstance.workspaceRoot, filePath); - } - if (!fs.existsSync(filePath)) { - return `Error: PDF file at path "${filePath}" does not exist.`; - } - const pdfjsLib = require('pdfjs-dist/legacy/build/pdf.js'); - const data = new Uint8Array(fs.readFileSync(filePath)); - const loadingTask = pdfjsLib.getDocument({ data, useSystemFonts: true }); - const pdf = await loadingTask.promise; - let textContent = ''; - for (let i = 1; i <= Math.min(pdf.numPages, 50); i++) { // cap at 50 pages to prevent context blowup - const page = await pdf.getPage(i); - const textObj = await page.getTextContent(); - const pageText = textObj.items.map(item => item.str).join(' '); - textContent += `--- Page ${i} ---\n${pageText}\n\n`; - } - return textContent || 'No text content found in PDF.'; - } catch (err) { - return `Error reading PDF: ${err.message}`; - } - } - }), - - resolve_folder_link: tool({ - description: 'Resolves relative subfolder paths to list note files inside them.', - parameters: z.object({ - folder_path: z.string().describe('The relative or absolute folder path to resolve.') - }), - execute: async (args) => { - log.info(`Executing resolve_folder_link tool with args: ${JSON.stringify(args)}`); - const folderPath = args?.folder_path || args?.folderPath; - try { - if (!agentInstance || !agentInstance.workspaceRoot) return 'Error: No workspace active.'; - const path = require('path'); - const targetPath = path.isAbsolute(folderPath) ? folderPath : path.resolve(agentInstance.workspaceRoot, folderPath); - if (!fs.existsSync(targetPath)) return `Error: Folder path "${targetPath}" does not exist.`; - const stats = fs.statSync(targetPath); - if (!stats.isDirectory()) return `Error: "${targetPath}" is a file, not a directory.`; - - const entries = fs.readdirSync(targetPath); - const notes = entries.filter(f => f.endsWith('.md')).map(f => ({ - fileName: f, - filePath: path.join(targetPath, f) - })); - return JSON.stringify(notes, null, 2); - } catch (err) { - return `Error resolving folder: ${err.message}`; - } - } - }) + log.info('Binding Agent instance to Application Tool Registry'); + if (agentInstance) { + applicationToolRegistry.setAgentInstance(agentInstance); + } + + const context = { + workspaceRoot: agentInstance?.workspaceRoot || null, + caller: 'internal_ai' }; + + return await applicationToolRegistry.toVercelTools(context); } catch (err) { - log.error('Failed to initialize tools:', err.message); + log.error('Failed to initialize tools from ApplicationToolRegistry:', err.message); return {}; } } diff --git a/electron/ai/aiHandlers.cjs b/electron/ai/aiHandlers.cjs index 9ddec804..387cdedb 100644 --- a/electron/ai/aiHandlers.cjs +++ b/electron/ai/aiHandlers.cjs @@ -50,6 +50,7 @@ try { } const { aiService } = require('../../ai/core/AIService'); +const { applicationToolRegistry } = require('../tools/ApplicationToolRegistry.cjs'); let handlersRegistered = false; // --- Input validation & sender trust guards ------------------------------- @@ -153,6 +154,7 @@ const activeQueryControllers = new Map(); function initializeAIHandlers(electronApp, agent) { if (agent) { aiService.agent = agent; + applicationToolRegistry.setAgentInstance(agent); // Dynamically initialize embeddingDb and indexWorker if not present if (!agent.embeddingDb && agent.workspaceRoot) { @@ -182,6 +184,20 @@ function initializeAIHandlers(electronApp, agent) { return; } + // Application Tool Registry Handlers + registerHandler('tool:execute', async (event, payload) => { + const { toolName, args = {}, context = {} } = payload || {}; + const workspaceRoot = agent?.workspaceRoot || context.workspaceRoot || null; + return applicationToolRegistry.executeTool(toolName, args, { ...context, workspaceRoot, caller: 'ipc_client' }); + }); + + registerHandler('tool:list', async () => { + return { + success: true, + data: applicationToolRegistry.toMcpSchemas() + }; + }); + // AI Initialization registerHandler(IPC_EVENTS.AI_INIT, handleInitialize); diff --git a/electron/preload.cjs b/electron/preload.cjs index ef6c5667..f3e51c65 100644 --- a/electron/preload.cjs +++ b/electron/preload.cjs @@ -302,5 +302,7 @@ contextBridge.exposeInMainWorld("notesApi", { browseImportFile: () => ipcRenderer.invoke("note-package:browse-import-file"), getNotePackageDefaults: () => ipcRenderer.invoke("note-package:get-defaults"), openExternal: (url) => ipcRenderer.invoke("shell:open-external", { url }), + executeTool: (payload) => ipcRenderer.invoke("tool:execute", payload), + listTools: () => ipcRenderer.invoke("tool:list"), }); diff --git a/electron/services/KnowledgeApplicationService.cjs b/electron/services/KnowledgeApplicationService.cjs new file mode 100644 index 00000000..fd828ba9 --- /dev/null +++ b/electron/services/KnowledgeApplicationService.cjs @@ -0,0 +1,193 @@ +/** + * KnowledgeApplicationService.cjs + * Application service for Search and Knowledge capabilities. + * Encapsulates Graph DB, Vector DB, and Search operations behind typed business interfaces. + */ + +const fs = require('fs'); +const path = require('path'); +const { collectMarkdownFiles, assertPathInWorkspace } = require('./NoteApplicationService.cjs'); + +class KnowledgeApplicationService { + constructor(agentInstance = null) { + this.agentInstance = agentInstance; + } + + setAgentInstance(agentInstance) { + this.agentInstance = agentInstance; + } + + /** + * Search notes across workspace using full-text keyword matching. + */ + async searchNotes({ workspaceRoot, query, limit = 10 }) { + if (!query || typeof query !== 'string' || !query.trim()) { + return []; + } + const cleanQuery = query.trim().toLowerCase(); + const files = collectMarkdownFiles(workspaceRoot); + const matches = []; + + for (const filePath of files) { + try { + const text = fs.readFileSync(filePath, 'utf8'); + const fileName = path.basename(filePath); + if (fileName.toLowerCase().includes(cleanQuery) || text.toLowerCase().includes(cleanQuery)) { + const lowerText = text.toLowerCase(); + const matchIdx = lowerText.indexOf(cleanQuery); + const start = Math.max(0, matchIdx - 40); + const end = Math.min(text.length, matchIdx + cleanQuery.length + 60); + const snippet = matchIdx !== -1 ? text.slice(start, end).replace(/\s+/g, ' ') : text.slice(0, 100); + + matches.push({ + path: filePath, + title: fileName, + score: fileName.toLowerCase().includes(cleanQuery) ? 1.0 : 0.7, + snippet: snippet ? `...${snippet}...` : '' + }); + } + } catch { + // skip unreadable + } + } + + matches.sort((a, b) => b.score - a.score); + return matches.slice(0, Math.min(limit, 50)); + } + + /** + * Vector semantic search for similar notes. + */ + async searchSimilar({ workspaceRoot, notePath, text, topK = 5 }) { + if (this.agentInstance && this.agentInstance.embeddingService) { + try { + const targetText = text || (notePath ? fs.readFileSync(assertPathInWorkspace(notePath, workspaceRoot), 'utf8') : ''); + if (!targetText) return []; + + const results = await this.agentInstance.embeddingService.findSimilarDocuments(targetText, topK); + return (results || []).map(item => ({ + path: item.path || item.documentPath, + similarity: item.similarity || item.score || 0, + snippet: item.snippet || '' + })); + } catch (err) { + console.warn('[KnowledgeService] Embedding search error:', err.message); + } + } + + // Fallback search if vector service unavailable + return this.searchNotes({ workspaceRoot, query: text || path.basename(notePath || ''), limit: topK }); + } + + /** + * Hybrid search combining full-text search and graph/vector results. + */ + async searchHybrid({ workspaceRoot, query, limit = 10 }) { + const ftsResults = await this.searchNotes({ workspaceRoot, query, limit }); + const similarResults = await this.searchSimilar({ workspaceRoot, text: query, topK: limit }); + + const combinedMap = new Map(); + + for (const item of ftsResults) { + combinedMap.set(item.path, { + path: item.path, + compositeScore: item.score * 0.6, + snippet: item.snippet + }); + } + + for (const item of similarResults) { + const existing = combinedMap.get(item.path); + if (existing) { + existing.compositeScore += item.similarity * 0.4; + } else { + combinedMap.set(item.path, { + path: item.path, + compositeScore: item.similarity * 0.4, + snippet: item.snippet + }); + } + } + + const sorted = Array.from(combinedMap.values()).sort((a, b) => b.compositeScore - a.compositeScore); + return sorted.slice(0, Math.min(limit, 50)); + } + + /** + * Get knowledge graph connections and related topics. + */ + async getRelatedTopics({ workspaceRoot, notePath, maxDepth = 2 }) { + if (this.agentInstance && this.agentInstance.graphService) { + try { + const validPath = assertPathInWorkspace(notePath, workspaceRoot); + const related = await this.agentInstance.graphService.getRelatedNotes(validPath, maxDepth); + return { + sourcePath: validPath, + nodes: (related || []).map(r => ({ path: r.path || r, title: path.basename(r.path || r) })), + edges: [] + }; + } catch (err) { + console.warn('[KnowledgeService] Graph Service error:', err.message); + } + } + + return { + sourcePath: notePath, + nodes: [], + edges: [] + }; + } + + /** + * Find semantic topic clusters across workspace. + */ + async findClusters({ workspaceRoot, minSize = 2 }) { + if (this.agentInstance && this.agentInstance.clusteringService) { + try { + const clusters = await this.agentInstance.clusteringService.getClusters(minSize); + return clusters || []; + } catch (err) { + console.warn('[KnowledgeService] Clustering error:', err.message); + } + } + return []; + } + + /** + * Get overall status of Knowledge indexing engines. + */ + async getKnowledgeStatus({ workspaceRoot }) { + const files = collectMarkdownFiles(workspaceRoot); + const graphActive = Boolean(this.agentInstance && this.agentInstance.graphDb); + const vectorActive = Boolean(this.agentInstance && this.agentInstance.embeddingService); + + return { + totalNotes: files.length, + graphActive, + vectorActive, + indexingComplete: true + }; + } + + /** + * Trigger reindex of Knowledge services. + */ + async reindexKnowledge({ workspaceRoot, force = false }) { + if (this.agentInstance && this.agentInstance.graphBuilder) { + try { + await this.agentInstance.graphBuilder.rebuildGraph(); + } catch (err) { + console.warn('[KnowledgeService] Reindex graph error:', err.message); + } + } + return { + workspaceRoot, + reindexed: true, + timestamp: new Date().toISOString() + }; + } +} + +module.exports = { + KnowledgeApplicationService +}; diff --git a/electron/services/NoteApplicationService.cjs b/electron/services/NoteApplicationService.cjs new file mode 100644 index 00000000..ab7b19c4 --- /dev/null +++ b/electron/services/NoteApplicationService.cjs @@ -0,0 +1,217 @@ +/** + * NoteApplicationService.cjs + * Application service for Note capabilities consumed by the Tool Layer. + * Enforces workspace boundary security and business validation. + */ + +const fs = require('fs'); +const path = require('path'); + +function assertPathInWorkspace(targetPath, workspaceRoot) { + if (!workspaceRoot || typeof workspaceRoot !== 'string') { + throw new Error('Workspace root is required.'); + } + if (!targetPath || typeof targetPath !== 'string') { + throw new Error('Target path is required.'); + } + const resolvedRoot = path.resolve(workspaceRoot); + const resolvedTarget = path.isAbsolute(targetPath) + ? path.resolve(targetPath) + : path.resolve(resolvedRoot, targetPath); + + const relative = path.relative(resolvedRoot, resolvedTarget); + if (relative.startsWith('..') || path.isAbsolute(relative)) { + throw new Error('Path traversal rejected: target path is outside workspace root.'); + } + return resolvedTarget; +} + +function collectMarkdownFiles(dirPath, fileList = []) { + if (!fs.existsSync(dirPath)) return fileList; + const entries = fs.readdirSync(dirPath, { withFileTypes: true }); + + for (const entry of entries) { + if (entry.name.startsWith('.') || entry.name === 'node_modules') continue; + const fullPath = path.join(dirPath, entry.name); + if (entry.isDirectory()) { + collectMarkdownFiles(fullPath, fileList); + } else if (entry.isFile() && entry.name.endsWith('.md')) { + fileList.push(fullPath); + } + } + return fileList; +} + +class NoteApplicationService { + /** + * Read note content with pagination and workspace security validation. + */ + async readNote(args = {}) { + const { workspaceRoot } = args; + const targetFile = args.filePath || args.file_path; + const startLine = Number(args.startLine || args.start_line || 1); + let maxLines = Number(args.maxLines || args.max_lines || 500); + + if (args.endLine || args.end_line) { + const endLine = Number(args.endLine || args.end_line); + maxLines = Math.max(1, endLine - startLine + 1); + } + + const validPath = assertPathInWorkspace(targetFile, workspaceRoot); + if (!fs.existsSync(validPath)) { + throw new Error(`Note file at path "${targetFile}" does not exist.`); + } + + const content = fs.readFileSync(validPath, 'utf8'); + const lines = content.split(/\r?\n/); + const totalLines = lines.length; + const startIdx = Math.max(0, startLine - 1); + const endIdx = startIdx + Math.min(maxLines, 10000); + const slicedContent = lines.slice(startIdx, endIdx).join('\n'); + let finalContent = slicedContent; + let isTruncated = endIdx < totalLines; + + if (finalContent.length > 10000) { + finalContent = finalContent.slice(0, 10000) + '\n\n... [Content truncated due to size. Use start_line and max_lines parameters to read further.]'; + isTruncated = true; + } + + return { + path: validPath, + content: finalContent, + startLine: startIdx + 1, + linesRead: Math.min(endIdx - startIdx, totalLines - startIdx), + totalLines, + truncated: isTruncated + }; + } + + /** + * Create a new note safely inside the workspace. + */ + async createNote({ workspaceRoot, title, content = '', folder = '' }) { + if (!title || typeof title !== 'string' || !title.trim()) { + throw new Error('Note title is required.'); + } + const cleanTitle = title.trim(); + let normalizedFolder = folder ? folder.trim() : ''; + if ( + normalizedFolder.toLowerCase() === 'root' + || normalizedFolder === '/' + || normalizedFolder === '.' + || normalizedFolder === './' + ) { + normalizedFolder = ''; + } + const targetFolder = normalizedFolder ? assertPathInWorkspace(normalizedFolder, workspaceRoot) : path.resolve(workspaceRoot); + + if (!fs.existsSync(targetFolder)) { + fs.mkdirSync(targetFolder, { recursive: true }); + } + + const safeBaseName = cleanTitle.toLowerCase().replace(/[^a-z0-9]+/g, '-').replace(/^-+|-+$/g, '') || 'untitled'; + let fileName = `${safeBaseName}.md`; + let filePath = path.join(targetFolder, fileName); + let counter = 2; + + while (fs.existsSync(filePath)) { + fileName = `${safeBaseName}-${counter}.md`; + filePath = path.join(targetFolder, fileName); + counter += 1; + } + + const fileContent = content.startsWith('# ') ? content : `# ${cleanTitle}\n\n${content}`; + fs.writeFileSync(filePath, fileContent, 'utf8'); + + return { + path: filePath, + title: cleanTitle, + created: true + }; + } + + /** + * Move or rename a note inside the workspace. + */ + async moveNote({ workspaceRoot, sourcePath, targetPath }) { + const validSource = assertPathInWorkspace(sourcePath, workspaceRoot); + const validTarget = assertPathInWorkspace(targetPath, workspaceRoot); + + if (!fs.existsSync(validSource)) { + throw new Error(`Source file "${sourcePath}" does not exist.`); + } + + const targetDir = path.dirname(validTarget); + if (!fs.existsSync(targetDir)) { + fs.mkdirSync(targetDir, { recursive: true }); + } + + fs.renameSync(validSource, validTarget); + return { + previousPath: validSource, + newPath: validTarget, + moved: true + }; + } + + /** + * Extract checklist tasks across notes in the workspace. + */ + async extractTasks({ workspaceRoot, notePath, status = 'all' }) { + const files = notePath + ? [assertPathInWorkspace(notePath, workspaceRoot)] + : collectMarkdownFiles(workspaceRoot); + + const tasks = []; + for (const filePath of files) { + if (!fs.existsSync(filePath)) continue; + try { + const text = fs.readFileSync(filePath, 'utf8'); + const lines = text.split(/\r?\n/); + lines.forEach((line, index) => { + const match = line.match(/^\s*[-*+]?\s*\[([ xX/])\]\s+(.+)$/); + if (match) { + const symbol = match[1].toLowerCase(); + const taskText = match[2].trim(); + const isCompleted = symbol === 'x'; + const isOpen = symbol === ' ' || symbol === '/'; + + if (status === 'open' && !isOpen) return; + if (status === 'completed' && !isCompleted) return; + + tasks.push({ + note: path.basename(filePath), + path: filePath, + line: index + 1, + text: taskText, + status: isCompleted ? 'completed' : symbol === '/' ? 'in-progress' : 'open' + }); + } + }); + } catch { + // skip unreadable + } + } + return tasks.slice(0, 100); + } + + /** + * Note updates deferred until system maturity. + */ + async updateNote() { + throw new Error('notes.update capability is deferred until system maturity.'); + } + + /** + * Note deletions deferred until system maturity. + */ + async deleteNote() { + throw new Error('notes.delete capability is deferred until system maturity.'); + } +} + +module.exports = { + NoteApplicationService, + assertPathInWorkspace, + collectMarkdownFiles +}; diff --git a/electron/services/WorkspaceApplicationService.cjs b/electron/services/WorkspaceApplicationService.cjs new file mode 100644 index 00000000..4dfb0c83 --- /dev/null +++ b/electron/services/WorkspaceApplicationService.cjs @@ -0,0 +1,85 @@ +/** + * WorkspaceApplicationService.cjs + * Application service for Workspace level statistics, health, and activity monitoring. + */ + +const fs = require('fs'); +const path = require('path'); +const { collectMarkdownFiles } = require('./NoteApplicationService.cjs'); + +class WorkspaceApplicationService { + /** + * Get workspace statistics and health metrics. + */ + async getStatistics({ workspaceRoot }) { + if (!workspaceRoot || !fs.existsSync(workspaceRoot)) { + throw new Error('Invalid workspace root.'); + } + + const files = collectMarkdownFiles(workspaceRoot); + let totalSizeBytes = 0; + let totalLinkCount = 0; + let totalTaskCount = 0; + + for (const filePath of files) { + try { + const stat = fs.statSync(filePath); + totalSizeBytes += stat.size; + const text = fs.readFileSync(filePath, 'utf8'); + + // Count markdown wiki links [[link]] or [text](url) + const wikiLinks = text.match(/\[\[.+?\]\]/g) || []; + const mdLinks = text.match(/\[.+?\]\(.+?\)/g) || []; + totalLinkCount += wikiLinks.length + mdLinks.length; + + // Count checklist tasks + const tasks = text.match(/^\s*[-*+]?\s*\[[ xX/]\]\s+/gm) || []; + totalTaskCount += tasks.length; + } catch { + // skip + } + } + + return { + workspaceRoot, + noteCount: files.length, + storageBytes: totalSizeBytes, + linkCount: totalLinkCount, + taskCount: totalTaskCount, + health: 'healthy' + }; + } + + /** + * Get recently modified notes in the workspace. + */ + async getRecentActivity({ workspaceRoot, limit = 10 }) { + if (!workspaceRoot || !fs.existsSync(workspaceRoot)) { + return []; + } + + const files = collectMarkdownFiles(workspaceRoot); + const fileStats = []; + + for (const filePath of files) { + try { + const stat = fs.statSync(filePath); + fileStats.push({ + path: filePath, + title: path.basename(filePath), + modifiedAt: stat.mtime.toISOString(), + sizeBytes: stat.size + }); + } catch { + // skip + } + } + + fileStats.sort((a, b) => new Date(b.modifiedAt) - new Date(a.modifiedAt)); + return fileStats.slice(0, Math.min(limit, 50)); + } +} + +module.exports = { + WorkspaceApplicationService +}; diff --git a/electron/tools/ApplicationToolRegistry.cjs b/electron/tools/ApplicationToolRegistry.cjs new file mode 100644 index 00000000..96df9535 --- /dev/null +++ b/electron/tools/ApplicationToolRegistry.cjs @@ -0,0 +1,544 @@ +/** + * ApplicationToolRegistry.cjs + * Central Application Tool Registry for Notely. + * Provides typed tool definitions, Zod validation, structured output envelopes, + * telemetry/logging, Vercel AI SDK export, and future MCP schema export. + */ + +const { NoteApplicationService } = require('../services/NoteApplicationService.cjs'); +const { KnowledgeApplicationService } = require('../services/KnowledgeApplicationService.cjs'); +const { WorkspaceApplicationService } = require('../services/WorkspaceApplicationService.cjs'); +const { z } = require('zod'); + +class ApplicationToolRegistry { + constructor() { + this.noteService = new NoteApplicationService(); + this.knowledgeService = new KnowledgeApplicationService(); + this.workspaceService = new WorkspaceApplicationService(); + + this.tools = new Map(); + this.aliasMap = new Map(); + + this._registerDefaultTools(); + } + + /** + * Set active agent instance for knowledge service (GraphDB/EmbeddingDB binding). + */ + setAgentInstance(agentInstance) { + this.knowledgeService.setAgentInstance(agentInstance); + } + + /** + * Register a capability tool in the central registry. + */ + registerTool(def) { + if (!def.name || !def.version || !def.execute) { + throw new Error('Tool definition must specify name, version, and execute function.'); + } + const fullName = `${def.name}@${def.version}`; + this.tools.set(fullName, def); + this.aliasMap.set(def.name, fullName); + + if (def.aliases && Array.isArray(def.aliases)) { + for (const alias of def.aliases) { + this.aliasMap.set(alias, fullName); + } + } + } + + /** + * Resolve a tool name or alias to its full versioned name. + */ + resolveToolName(nameOrAlias) { + if (this.tools.has(nameOrAlias)) return nameOrAlias; + if (this.aliasMap.has(nameOrAlias)) return this.aliasMap.get(nameOrAlias); + return null; + } + + /** + * Execute a tool by name/alias with typed validation and structured response envelope. + */ + async executeTool(toolNameOrAlias, rawArgs = {}, context = {}) { + const startTime = Date.now(); + const fullName = this.resolveToolName(toolNameOrAlias); + + const caller = context.caller || 'internal_ai'; + const workspaceRoot = context.workspaceRoot || rawArgs.workspaceRoot || null; + + if (!fullName || !this.tools.has(fullName)) { + return this._buildResponse({ + success: false, + data: null, + toolName: toolNameOrAlias, + version: 'unknown', + startTime, + caller, + executionPath: 'ApplicationToolRegistry -> resolveToolName', + error: { + code: 'TOOL_NOT_FOUND', + message: `Tool "${toolNameOrAlias}" is not registered in the Application Tool Registry.` + } + }); + } + + const toolDef = this.tools.get(fullName); + + // Validate inputs if schema exists + let validatedArgs = rawArgs || {}; + if (toolDef.schema && typeof toolDef.schema.parse === 'function') { + try { + validatedArgs = toolDef.schema.parse(rawArgs || {}); + } catch (err) { + return this._buildResponse({ + success: false, + data: null, + toolName: toolDef.name, + version: toolDef.version, + startTime, + caller, + executionPath: `ApplicationToolRegistry -> SchemaValidation -> ${toolDef.name}`, + error: { + code: 'INVALID_INPUT', + message: `Input validation failed for tool "${toolDef.name}": ${err.message}` + } + }); + } + } + + // Merge context workspaceRoot into validatedArgs if needed + const finalArgs = { + ...validatedArgs, + workspaceRoot: validatedArgs.workspaceRoot || workspaceRoot + }; + + try { + const data = await toolDef.execute(finalArgs, context, this); + return this._buildResponse({ + success: true, + data, + toolName: toolDef.name, + version: toolDef.version, + startTime, + caller, + executionPath: `ApplicationToolRegistry -> ${toolDef.serviceName || 'Service'} -> ${toolDef.name}` + }); + } catch (err) { + return this._buildResponse({ + success: false, + data: null, + toolName: toolDef.name, + version: toolDef.version, + startTime, + caller, + executionPath: `ApplicationToolRegistry -> ExecutionFailure -> ${toolDef.name}`, + error: { + code: 'EXECUTION_ERROR', + message: err.message || 'An error occurred during tool execution.' + } + }); + } + } + + _buildResponse({ success, data, toolName, version, startTime, caller, executionPath, error = null, warnings = [] }) { + const durationMs = Date.now() - startTime; + return { + success, + data, + metadata: { + toolName, + version, + durationMs, + timestamp: new Date().toISOString() + }, + diagnostics: { + caller, + executionPath + }, + warnings, + error + }; + } + + /** + * Export registered tools to Vercel AI SDK compatible tool definitions. + */ + async toVercelTools(context = {}) { + const { tool } = await import('ai'); + const { z } = await import('zod'); + + const vercelTools = {}; + + for (const [fullName, toolDef] of this.tools.entries()) { + // Use alias name or primary name for Vercel AI SDK compatibility + const sdkName = toolDef.sdkName || toolDef.aliases?.[0] || toolDef.name.replace(/\./g, '_'); + + vercelTools[sdkName] = tool({ + description: toolDef.description, + parameters: toolDef.schema || z.object({}), + execute: async (args) => { + const res = await this.executeTool(fullName, args, context); + if (!res.success) { + return `Error [${res.error?.code || 'FAILURE'}]: ${res.error?.message}`; + } + if (res.data && typeof res.data.content === 'string') { + return res.data.content; + } + return typeof res.data === 'string' ? res.data : JSON.stringify(res.data, null, 2); + } + }); + } + + return vercelTools; + } + + /** + * Export registered tools into JSON-RPC / MCP Tool format. + */ + toMcpSchemas() { + const mcpSchemas = []; + for (const toolDef of this.tools.values()) { + mcpSchemas.push({ + name: toolDef.name, + description: toolDef.description, + inputSchema: toolDef.jsonSchema || { type: 'object', properties: {} } + }); + } + return mcpSchemas; + } + + _registerDefaultTools() { + // 1. notes.read + this.registerTool({ + name: 'notes.read', + version: 'v1', + aliases: ['read_note'], + sdkName: 'read_note', + serviceName: 'NoteApplicationService', + description: 'Read the contents of a specific note file in the workspace.', + schema: z.object({ + filePath: z.string().optional().describe('Relative or absolute path to the note file.'), + file_path: z.string().optional().describe('Relative or absolute path to the note file.'), + startLine: z.number().optional().describe('Start line number (default: 1).'), + start_line: z.number().optional().describe('Start line number (default: 1).'), + maxLines: z.number().optional().describe('Maximum lines to read (default: 500).'), + max_lines: z.number().optional().describe('Maximum lines to read (default: 500).'), + end_line: z.number().optional().describe('End line number.') + }), + jsonSchema: { + type: 'object', + properties: { + filePath: { type: 'string', description: 'Relative or absolute path to the note file.' }, + startLine: { type: 'number', description: 'Start line number (default: 1).' }, + maxLines: { type: 'number', description: 'Maximum lines to read (default: 500).' } + }, + required: ['filePath'] + }, + execute: async (args) => { + const filePath = args.filePath || args.file_path; + if (!filePath) { + throw new Error('filePath or file_path is required.'); + } + return this.noteService.readNote({ + ...args, + filePath + }); + } + }); + + // 2. notes.create + this.registerTool({ + name: 'notes.create', + version: 'v1', + aliases: ['create_note'], + sdkName: 'create_note', + serviceName: 'NoteApplicationService', + description: 'Create a new note in the workspace.', + schema: z.object({ + title: z.string().optional().describe('Title for the new note.'), + note_title: z.string().optional().describe('Title or name for the new note.'), + name: z.string().optional().describe('Name or title for the new note.'), + content: z.string().optional().describe('Initial markdown content.'), + folder: z.string().optional().describe('Target folder path within workspace.'), + target_folder: z.string().optional().describe('Target folder path within workspace.') + }), + jsonSchema: { + type: 'object', + properties: { + title: { type: 'string', description: 'Title for the new note.' }, + note_title: { type: 'string', description: 'Title or name for the new note.' }, + name: { type: 'string', description: 'Name or title for the new note.' }, + content: { type: 'string', description: 'Initial markdown content.' }, + folder: { type: 'string', description: 'Target folder path within workspace.' } + } + }, + execute: async (args) => { + const finalTitle = args.title || args.note_title || args.name || 'Untitled'; + return this.noteService.createNote({ + ...args, + title: finalTitle, + folder: args.folder || args.target_folder + }); + } + }); + + // 3. notes.move + this.registerTool({ + name: 'notes.move', + version: 'v1', + aliases: ['move_note'], + sdkName: 'move_note', + serviceName: 'NoteApplicationService', + description: 'Move or rename a note within the workspace.', + schema: z.object({ + sourcePath: z.string().optional().describe('Source file path.'), + source_path: z.string().optional().describe('Source file path.'), + targetPath: z.string().optional().describe('Target destination file path.'), + target_path: z.string().optional().describe('Target destination file path.') + }), + jsonSchema: { + type: 'object', + properties: { + sourcePath: { type: 'string', description: 'Source file path.' }, + targetPath: { type: 'string', description: 'Target destination file path.' } + }, + required: ['sourcePath', 'targetPath'] + }, + execute: async (args) => { + const sourcePath = args.sourcePath || args.source_path; + const targetPath = args.targetPath || args.target_path; + if (!sourcePath || !targetPath) { + throw new Error('Both source path and target path are required.'); + } + return this.noteService.moveNote({ + ...args, + sourcePath, + targetPath + }); + } + }); + + // 4. notes.extract_tasks + this.registerTool({ + name: 'notes.extract_tasks', + version: 'v1', + aliases: ['get_tasks'], + sdkName: 'get_tasks', + serviceName: 'NoteApplicationService', + description: 'Extract checklist tasks across notes in the workspace.', + schema: z.object({ + notePath: z.string().optional().describe('Optional specific note path to extract tasks from.'), + note_path: z.string().optional().describe('Optional specific note path to extract tasks from.'), + status: z.enum(['all', 'open', 'completed']).optional().describe('Filter tasks by status.') + }), + jsonSchema: { + type: 'object', + properties: { + notePath: { type: 'string', description: 'Optional specific note path to extract tasks from.' }, + status: { type: 'string', enum: ['all', 'open', 'completed'], description: 'Filter tasks by status.' } + } + }, + execute: async (args) => this.noteService.extractTasks(args) + }); + + // 5. search.notes + this.registerTool({ + name: 'search.notes', + version: 'v1', + aliases: ['search_notes'], + sdkName: 'search_notes', + serviceName: 'KnowledgeApplicationService', + description: 'Search note files matching a query string in the workspace.', + schema: z.object({ + query: z.string().describe('The search query or keyword.'), + limit: z.number().optional().describe('Max results to return (default: 10).') + }), + jsonSchema: { + type: 'object', + properties: { + query: { type: 'string', description: 'The search query or keyword.' }, + limit: { type: 'number', description: 'Max results to return (default: 10).' } + }, + required: ['query'] + }, + execute: async (args) => this.knowledgeService.searchNotes(args) + }); + + // 6. search.similar + this.registerTool({ + name: 'search.similar', + version: 'v1', + aliases: ['semantic_search'], + sdkName: 'semantic_search', + serviceName: 'KnowledgeApplicationService', + description: 'Find semantically similar notes using vector embeddings.', + schema: z.object({ + notePath: z.string().optional().describe('Path to source note.'), + note_path: z.string().optional().describe('Path to source note.'), + text: z.string().optional().describe('Raw text query for similarity.'), + topK: z.number().optional().describe('Top K results (default: 5).'), + top_k: z.number().optional().describe('Top K results (default: 5).') + }), + jsonSchema: { + type: 'object', + properties: { + notePath: { type: 'string', description: 'Path to source note.' }, + text: { type: 'string', description: 'Raw text query for similarity.' }, + topK: { type: 'number', description: 'Top K results (default: 5).' } + } + }, + execute: async (args) => this.knowledgeService.searchSimilar(args) + }); + + // 7. search.hybrid + this.registerTool({ + name: 'search.hybrid', + version: 'v1', + aliases: ['hybrid_search'], + sdkName: 'hybrid_search', + serviceName: 'KnowledgeApplicationService', + description: 'Hybrid search combining full-text search and vector similarity.', + schema: z.object({ + query: z.string().describe('Query text.'), + limit: z.number().optional().describe('Limit results.') + }), + jsonSchema: { + type: 'object', + properties: { + query: { type: 'string', description: 'Query text.' }, + limit: { type: 'number', description: 'Limit results.' } + }, + required: ['query'] + }, + execute: async (args) => this.knowledgeService.searchHybrid(args) + }); + + // 8. knowledge.related_topics + this.registerTool({ + name: 'knowledge.related_topics', + version: 'v1', + aliases: ['get_graph'], + sdkName: 'get_graph', + serviceName: 'KnowledgeApplicationService', + description: 'Traverse knowledge graph relationships for a given note.', + schema: z.object({ + notePath: z.string().optional().describe('Source note path.'), + note_path: z.string().optional().describe('Source note path.'), + maxDepth: z.number().optional().describe('Max graph traversal depth.'), + max_depth: z.number().optional().describe('Max graph traversal depth.') + }), + jsonSchema: { + type: 'object', + properties: { + notePath: { type: 'string', description: 'Source note path.' }, + maxDepth: { type: 'number', description: 'Max graph traversal depth.' } + }, + required: ['notePath'] + }, + execute: async (args) => { + const notePath = args.notePath || args.note_path; + if (!notePath) { + throw new Error('notePath or note_path is required.'); + } + return this.knowledgeService.getRelatedTopics({ + ...args, + notePath + }); + } + }); + + // 9. knowledge.find_clusters + this.registerTool({ + name: 'knowledge.find_clusters', + version: 'v1', + aliases: ['find_clusters'], + sdkName: 'find_clusters', + serviceName: 'KnowledgeApplicationService', + description: 'Get semantic topic clusters across the workspace.', + schema: z.object({ + minSize: z.number().optional().describe('Minimum cluster size.') + }), + jsonSchema: { + type: 'object', + properties: { + minSize: { type: 'number', description: 'Minimum cluster size.' } + } + }, + execute: async (args) => this.knowledgeService.findClusters(args) + }); + + // 10. knowledge.status + this.registerTool({ + name: 'knowledge.status', + version: 'v1', + aliases: ['knowledge_status'], + sdkName: 'knowledge_status', + serviceName: 'KnowledgeApplicationService', + description: 'Get indexing and health status of knowledge engines.', + schema: z.object({}), + jsonSchema: { type: 'object', properties: {} }, + execute: async (args) => this.knowledgeService.getKnowledgeStatus(args) + }); + + // 11. knowledge.reindex + this.registerTool({ + name: 'knowledge.reindex', + version: 'v1', + aliases: ['reindex_knowledge'], + sdkName: 'reindex_knowledge', + serviceName: 'KnowledgeApplicationService', + description: 'Trigger background reindexing of knowledge graph and embeddings.', + schema: z.object({ + force: z.boolean().optional().describe('Force full reindex.') + }), + jsonSchema: { + type: 'object', + properties: { + force: { type: 'boolean', description: 'Force full reindex.' } + } + }, + execute: async (args) => this.knowledgeService.reindexKnowledge(args) + }); + + // 12. workspace.statistics + this.registerTool({ + name: 'workspace.statistics', + version: 'v1', + aliases: ['workspace_stats'], + sdkName: 'workspace_stats', + serviceName: 'WorkspaceApplicationService', + description: 'Get workspace health, document counts, and storage metrics.', + schema: z.object({}), + jsonSchema: { type: 'object', properties: {} }, + execute: async (args) => this.workspaceService.getStatistics(args) + }); + + // 13. workspace.recent_activity + this.registerTool({ + name: 'workspace.recent_activity', + version: 'v1', + aliases: ['recent_activity'], + sdkName: 'recent_activity', + serviceName: 'WorkspaceApplicationService', + description: 'Get list of recently modified notes in the workspace.', + schema: z.object({ + limit: z.number().optional().describe('Max items to return.') + }), + jsonSchema: { + type: 'object', + properties: { + limit: { type: 'number', description: 'Max items to return.' } + } + }, + execute: async (args) => this.workspaceService.getRecentActivity(args) + }); + } +} + +// Global Application Tool Registry Singleton +const applicationToolRegistry = new ApplicationToolRegistry(); + +module.exports = { + ApplicationToolRegistry, + applicationToolRegistry +}; diff --git a/package.json b/package.json index 3c849859..f850895d 100644 --- a/package.json +++ b/package.json @@ -131,7 +131,8 @@ "asar": true, "asarUnpack": [ "node_modules/node-pty/**/*", - "node_modules/node-llama-cpp/**/*" + "node_modules/onnxruntime-node/**/*", + "node_modules/onnxruntime-web/**/*" ], "win": { "signAndEditExecutable": false, diff --git a/src/components/AISettings.jsx b/src/components/AISettings.jsx index d5c12871..160177da 100644 --- a/src/components/AISettings.jsx +++ b/src/components/AISettings.jsx @@ -587,6 +587,9 @@ export const AISettingsContent = ({ _onClose }) => { )} +
+ ⚠️ Hardware Warning: Running text models locally executes inference directly on your CPU. This requires a modern processor and at least 8GB-16GB RAM. Performance may cause temporary UI lag/freezes during generation. +
) : (
@@ -676,6 +679,40 @@ export const AISettingsContent = ({ _onClose }) => { Test
+ + {/* Provider-specific details and helper links */} +
+ {selectedProvider === "groq" && ( + <> +
Groq Cloud Provider Info:
+
+ Get your API key at: console.groq.com/keys +
+
+ ⚠️ Rate Limit Warning: Groq free tier has daily token limits (TPD). If you hit a 429 rate limit error, you will need to wait for quota reset or upgrade to a developer tier. +
+ + )} + {selectedProvider === "gemini" && ( + <> +
Google Gemini Provider Info:
+
+ Get your API key at: aistudio.google.com/app/apikey +
+
+ Gemini offers a generous free tier for developers with high limits. +
+ + )} + {selectedProvider === "openai" && ( + <> +
OpenAI Provider Info:
+
+ Get your API key at: platform.openai.com/api-keys +
+ + )} +
)} diff --git a/src/components/OnboardingFlow.jsx b/src/components/OnboardingFlow.jsx index 939630cf..9b184623 100644 --- a/src/components/OnboardingFlow.jsx +++ b/src/components/OnboardingFlow.jsx @@ -484,60 +484,91 @@ export function OnboardingFlow({ style={{ padding: "4px 10px", fontSize: "11px", cursor: "pointer", background: "var(--accent-solid)", color: "#fff", border: "none", borderRadius: "6px" }} > Download Qwen - + )} +
+ ⚠️ Hardware Warning: Running text models locally executes inference directly on your CPU. This requires a modern processor and at least 8GB-16GB RAM. Performance may cause temporary UI lag/freezes during generation. +
) : ( -
- -
- { - setApiKey(e.target.value); - setTestSuccess(null); - }} - style={{ flex: 1, padding: "8px", borderRadius: "6px", border: "1px solid var(--border-soft)", background: "var(--background-default)", color: "var(--text-strong)" }} - /> - + }} + style={{ padding: "0 12px", height: "35px", boxSizing: "border-box", cursor: "pointer", background: "var(--surface-header)", border: "1px solid var(--border-soft)", color: "var(--text-strong)", borderRadius: "6px" }} + > + {testingConnection ? "Testing..." : "Test Connection"} + +
+ {testSuccess === true &&
✓ Connection successful!
} + {testSuccess === false &&
✗ Connection failed.
} +
+ + {/* Provider-specific details and helper links */} +
+ {selectedAIProvider === "groq" && ( + <> +
Groq Cloud Provider Info:
+
+ Get your API key at: console.groq.com/keys +
+
+ ⚠️ Rate Limit Warning: Groq free tier has daily token limits (TPD). If you hit a 429 rate limit error, you will need to wait for quota reset or upgrade to a developer tier. +
+ + )} + {selectedAIProvider === "gemini" && ( + <> +
Google Gemini Provider Info:
+
+ Get your API key at: aistudio.google.com/app/apikey +
+
+ Gemini offers a generous free tier for developers with high limits. +
+ + )}
- {testSuccess === true &&
✓ Connection successful!
} - {testSuccess === false &&
✗ Connection failed.
} )} - -
+ +
{ + let tmpDir; + let registry; + + beforeEach(() => { + tmpDir = fs.mkdtempSync(path.join(os.tmpdir(), 'notely-tool-test-')); + registry = new ApplicationToolRegistry(); + }); + + afterEach(() => { + if (fs.existsSync(tmpDir)) { + fs.rmSync(tmpDir, { recursive: true, force: true }); + } + }); + + it('should list and resolve registered tools', () => { + const schemas = registry.toMcpSchemas(); + expect(schemas.length).toBeGreaterThan(0); + + const readTool = schemas.find(s => s.name === 'notes.read'); + expect(readTool).toBeDefined(); + expect(readTool.inputSchema).toBeDefined(); + }); + + it('should safely execute notes.create and notes.read within workspace boundaries', async () => { + const createRes = await registry.executeTool('notes.create', { + title: 'Architecture Test Note', + content: 'This is test content.' + }, { workspaceRoot: tmpDir }); + + expect(createRes.success).toBe(true); + expect(createRes.data.created).toBe(true); + expect(createRes.metadata.toolName).toBe('notes.create'); + + const createdPath = createRes.data.path; + expect(fs.existsSync(createdPath)).toBe(true); + + const readRes = await registry.executeTool('notes.read', { + filePath: createdPath + }, { workspaceRoot: tmpDir }); + + expect(readRes.success).toBe(true); + expect(readRes.data.content).toContain('This is test content.'); + }); + + it('should reject path traversal attempts outside workspace root', async () => { + const service = new NoteApplicationService(); + const maliciousPath = path.resolve(tmpDir, '../outside_secret.txt'); + + await expect(service.readNote({ + workspaceRoot: tmpDir, + filePath: maliciousPath + })).rejects.toThrow(/Path traversal rejected/); + }); + + it('should throw error for deferred notes.update and notes.delete capabilities', async () => { + const service = new NoteApplicationService(); + await expect(service.updateNote()).rejects.toThrow(/deferred/); + await expect(service.deleteNote()).rejects.toThrow(/deferred/); + }); + + it('should calculate workspace statistics cleanly', async () => { + fs.writeFileSync(path.join(tmpDir, 'test1.md'), '# Test\n- [ ] Task 1\n[[Link1]]', 'utf8'); + + const statsRes = await registry.executeTool('workspace.statistics', {}, { workspaceRoot: tmpDir }); + expect(statsRes.success).toBe(true); + expect(statsRes.data.noteCount).toBe(1); + expect(statsRes.data.taskCount).toBe(1); + expect(statsRes.data.linkCount).toBe(1); + }); + + it('should search notes cleanly without exposing storage internals', async () => { + fs.writeFileSync(path.join(tmpDir, 'search_target.md'), '# Secret Topic\nUnique keyword antigravity.', 'utf8'); + + const searchRes = await registry.executeTool('search.notes', { query: 'antigravity' }, { workspaceRoot: tmpDir }); + expect(searchRes.success).toBe(true); + expect(searchRes.data.length).toBe(1); + expect(searchRes.data[0].title).toBe('search_target.md'); + }); +}); From 5e2fc51efe2fc403b0e5f9a24ceea99bcbabfa9b Mon Sep 17 00:00:00 2001 From: Bikash Panda Date: Wed, 22 Jul 2026 14:53:19 +0530 Subject: [PATCH 3/3] feat(ai): revamp Knowledge Graph pipeline with ModernBERT ONNX 2-model engine and isolated worker queue - Replace single LLM generator with 2-pass ModernBERT ONNX pipeline (NER + RE) & structural markdown parser - Create independent GraphQueue and GraphWorker in background utilityProcess - Add live top progress bar, note inspector, and clean full-height canvas layout to KnowledgeGraph.jsx - Add ModernBERT 2-model ONNX weight downloader card (~70MB) in KnowledgeGraphSettings.jsx - Clean up unused floating widgets and chat progress toasts --- .github/workflows/cd.yml | 1 - ai/core/AIConfig.js | 12 +- ai/core/Agent.js | 4 +- ai/embeddings/ModelDownloader.js | 82 +++-- ai/embeddings/ONNXEmbedder.js | 13 +- ai/graph/GraphBuilder.js | 16 +- ai/graph/GraphDB.js | 18 ++ ai/graph/GraphModelDownloader.js | 167 ++++++++++ ai/graph/GraphService.js | 94 +++--- ai/graph/ModernBERTExtractor.js | 161 ++++++++++ ai/index.js | 17 +- ai/providers/LocalONNXProvider.js | 97 +++--- ai/providers/ProviderRegistry.js | 23 -- ai/queue/GraphQueue.js | 87 ++++++ ai/queue/GraphWorker.js | 125 ++++++++ electron/ai/aiHandlers.cjs | 151 ++++++++- electron/ai/workerManager.cjs | 85 ++++- electron/ai/workerProcess.cjs | 113 +++++-- electron/preload.cjs | 10 + package-lock.json | 1 + package.json | 6 - scripts/patch-transformers.js | 16 +- src/components/AISettings.jsx | 39 ++- src/components/AIStatusBar.jsx | 3 +- src/components/KnowledgeGraph.jsx | 365 +++++++++++++--------- src/components/KnowledgeGraphSettings.jsx | 95 ++++-- src/components/OnboardingFlow.jsx | 14 +- src/hooks/useAIAssistant.js | 10 +- src/services/electronService.js | 30 ++ src/tests/utils/GraphQueue.test.js | 34 ++ 30 files changed, 1475 insertions(+), 414 deletions(-) create mode 100644 ai/graph/GraphModelDownloader.js create mode 100644 ai/graph/ModernBERTExtractor.js create mode 100644 ai/queue/GraphQueue.js create mode 100644 ai/queue/GraphWorker.js create mode 100644 src/tests/utils/GraphQueue.test.js diff --git a/.github/workflows/cd.yml b/.github/workflows/cd.yml index 675ca695..242e3691 100644 --- a/.github/workflows/cd.yml +++ b/.github/workflows/cd.yml @@ -42,7 +42,6 @@ jobs: | File | Type | Notes | |------|------|-------| | `Notely Setup *.exe` | **Installer** (recommended) | Installs to your system, fast launch every time | - | `Notely *.exe` | **Portable** | Single file, no install — extracts on every launch | | `Notely-*-win.zip` | **Portable ZIP** | Extract once, run directly — portable + fast | files: | release/*.exe diff --git a/ai/core/AIConfig.js b/ai/core/AIConfig.js index 5aa56973..5ecc6418 100644 --- a/ai/core/AIConfig.js +++ b/ai/core/AIConfig.js @@ -7,8 +7,16 @@ const fs = require('fs'); const { app, safeStorage } = require('electron'); class AIConfig { - constructor() { - this.appDataDir = app.getPath('appData'); + constructor(customAppDataDir = null) { + if (customAppDataDir) { + this.appDataDir = customAppDataDir; + } else { + try { + this.appDataDir = app ? app.getPath('appData') : path.join(process.env.APPDATA || process.env.HOME || '', 'Notely'); + } catch { + this.appDataDir = path.join(process.env.APPDATA || process.env.HOME || '', 'Notely'); + } + } this.configDir = path.join(this.appDataDir, 'notely'); this.configPath = path.join(this.configDir, 'ai-config.json'); this.ensureConfigDir(); diff --git a/ai/core/Agent.js b/ai/core/Agent.js index e3f1954c..a0524ccd 100644 --- a/ai/core/Agent.js +++ b/ai/core/Agent.js @@ -185,11 +185,11 @@ class Agent { /** * Build relationship graph */ - async buildRelationshipGraph() { + async buildRelationshipGraph(onProgress = null) { if (!this.graphBuilder) { return { success: false, error: 'Graph builder not initialized' }; } - return this.graphBuilder.rebuild(); + return this.graphBuilder.rebuild(onProgress); } /** diff --git a/ai/embeddings/ModelDownloader.js b/ai/embeddings/ModelDownloader.js index 707d7fe7..b6b53d6c 100644 --- a/ai/embeddings/ModelDownloader.js +++ b/ai/embeddings/ModelDownloader.js @@ -20,24 +20,24 @@ class ModelDownloader { this.vocabUrl = `https://huggingface.co/Xenova/bge-small-en-v1.5/${vocabUrlPart}`; this.progressCallback = null; - this.qwenONNXDir = path.join(this.modelDir, 'qwen-onnx'); - this.qwenONNXFiles = [ - { name: 'config.json', url: 'https://huggingface.co/onnx-community/Qwen2.5-0.5B-Instruct/resolve/main/config.json' }, - { name: 'generation_config.json', url: 'https://huggingface.co/onnx-community/Qwen2.5-0.5B-Instruct/resolve/main/generation_config.json' }, - { name: 'special_tokens_map.json', url: 'https://huggingface.co/onnx-community/Qwen2.5-0.5B-Instruct/resolve/main/special_tokens_map.json' }, - { name: 'tokenizer.json', url: 'https://huggingface.co/onnx-community/Qwen2.5-0.5B-Instruct/resolve/main/tokenizer.json' }, - { name: 'tokenizer_config.json', url: 'https://huggingface.co/onnx-community/Qwen2.5-0.5B-Instruct/resolve/main/tokenizer_config.json' }, - { name: 'onnx/model_quantized.onnx', url: 'https://huggingface.co/onnx-community/Qwen2.5-0.5B-Instruct/resolve/main/onnx/model_quantized.onnx' } + this.smolLM2ONNXDir = path.join(this.modelDir, 'smollm2-135m-onnx'); + this.smolLM2ONNXFiles = [ + { name: 'config.json', url: 'https://huggingface.co/onnx-community/SmolLM2-135M-Instruct-ONNX/resolve/main/config.json' }, + { name: 'generation_config.json', url: 'https://huggingface.co/onnx-community/SmolLM2-135M-Instruct-ONNX/resolve/main/generation_config.json' }, + { name: 'special_tokens_map.json', url: 'https://huggingface.co/onnx-community/SmolLM2-135M-Instruct-ONNX/resolve/main/special_tokens_map.json' }, + { name: 'tokenizer.json', url: 'https://huggingface.co/onnx-community/SmolLM2-135M-Instruct-ONNX/resolve/main/tokenizer.json' }, + { name: 'tokenizer_config.json', url: 'https://huggingface.co/onnx-community/SmolLM2-135M-Instruct-ONNX/resolve/main/tokenizer_config.json' }, + { name: 'onnx/model_quantized.onnx', url: 'https://huggingface.co/onnx-community/SmolLM2-135M-Instruct-ONNX/resolve/main/onnx/model_quantized.onnx' } ]; } isGraphModelDownloaded() { - return this.qwenONNXFiles.every(file => fs.existsSync(path.join(this.qwenONNXDir, file.name))); + return this.smolLM2ONNXFiles.every(file => fs.existsSync(path.join(this.smolLM2ONNXDir, file.name))); } async downloadGraphModel(onProgress = null) { if (this.isGraphModelDownloaded()) { - log.info('Graph Qwen ONNX model already downloaded'); + log.info('Graph SmolLM2 ONNX model already downloaded'); return true; } if (isDownloadingGraph) { @@ -50,28 +50,28 @@ class ModelDownloader { this.progressCallback = onProgress; try { - if (!fs.existsSync(this.qwenONNXDir)) { - fs.mkdirSync(this.qwenONNXDir, { recursive: true }); + if (!fs.existsSync(this.smolLM2ONNXDir)) { + fs.mkdirSync(this.smolLM2ONNXDir, { recursive: true }); } - log.info('Starting Qwen 2.5 ONNX model download from HuggingFace...'); + log.info('Starting SmolLM2 ONNX model download from HuggingFace...'); let completedCount = 0; - for (const file of this.qwenONNXFiles) { - const destPath = path.join(this.qwenONNXDir, file.name); + for (const file of this.smolLM2ONNXFiles) { + const destPath = path.join(this.smolLM2ONNXDir, file.name); const destDir = path.dirname(destPath); if (!fs.existsSync(destDir)) { fs.mkdirSync(destDir, { recursive: true }); } - log.info(`Downloading Qwen ONNX asset: ${file.name}...`); + log.info(`Downloading SmolLM2 ONNX asset: ${file.name}...`); const isModelFile = file.name.endsWith('.onnx'); await this.downloadFile(file.url, destPath, (bytesRead, totalBytes) => { - if (isModelFile && totalBytes > 0) { - const baseProgress = Math.round((completedCount / this.qwenONNXFiles.length) * 100); - const currentFileProgress = Math.round((bytesRead / totalBytes) * (100 / this.qwenONNXFiles.length)); + if (totalBytes > 0) { + const baseProgress = Math.round((completedCount / this.smolLM2ONNXFiles.length) * 100); + const currentFileProgress = Math.round((bytesRead / totalBytes) * (100 / this.smolLM2ONNXFiles.length)); graphProgress = Math.min(99, baseProgress + currentFileProgress); if (this.progressCallback) { this.progressCallback(graphProgress); @@ -80,19 +80,19 @@ class ModelDownloader { }); completedCount++; - graphProgress = Math.round((completedCount / this.qwenONNXFiles.length) * 100); + graphProgress = Math.round((completedCount / this.smolLM2ONNXFiles.length) * 100); if (this.progressCallback) { this.progressCallback(graphProgress); } } - log.info('Qwen 2.5 ONNX model downloaded successfully'); + log.info('SmolLM2 ONNX model downloaded successfully'); isDownloadingGraph = false; graphProgress = 100; return true; } catch (err) { isDownloadingGraph = false; - log.error('Failed to download Qwen ONNX model', err); + log.error('Failed to download SmolLM2 ONNX model', err); throw err; } } @@ -117,6 +117,33 @@ class ModelDownloader { }; } + deleteModel() { + try { + const modelPath = path.join(this.modelDir, 'model.onnx'); + const vocabPath = path.join(this.modelDir, 'vocab.txt'); + if (fs.existsSync(modelPath)) fs.unlinkSync(modelPath); + if (fs.existsSync(vocabPath)) fs.unlinkSync(vocabPath); + log.info('Deleted local embedding model files.'); + return true; + } catch (err) { + log.error('Failed to delete embedding model files', err); + throw err; + } + } + + deleteGraphModel() { + try { + if (fs.existsSync(this.smolLM2ONNXDir)) { + fs.rmSync(this.smolLM2ONNXDir, { recursive: true, force: true }); + } + log.info('Deleted local graph ONNX model files.'); + return true; + } catch (err) { + log.error('Failed to delete graph model files', err); + throw err; + } + } + async download(onProgress = null) { if (this.isModelDownloaded()) { log.info('Model already downloaded'); @@ -171,7 +198,12 @@ class ModelDownloader { const file = fs.createWriteStream(dest); const request = (targetUrl) => { - https.get(targetUrl, (response) => { + const options = { + headers: { + 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) NotelyApp/0.1.27 Chrome/120.0.0.0 Electron/28.0.0 Safari/537.36' + } + }; + https.get(targetUrl, options, (response) => { if (response.statusCode === 301 || response.statusCode === 302 || response.statusCode === 303 || response.statusCode === 307 || response.statusCode === 308) { // Handle redirects (including relative paths) let redirectUrl = response.headers.location; @@ -201,6 +233,10 @@ class ModelDownloader { response.on('end', () => { file.end(); + }); + + file.on('finish', () => { + file.close(); resolve(); }); }).on('error', (err) => { diff --git a/ai/embeddings/ONNXEmbedder.js b/ai/embeddings/ONNXEmbedder.js index e4fa20b4..6c8970b8 100644 --- a/ai/embeddings/ONNXEmbedder.js +++ b/ai/embeddings/ONNXEmbedder.js @@ -18,12 +18,15 @@ class ONNXEmbedder { if (this.isLoaded) return; try { log.info('Loading local ONNX embedding session...'); - try { - this.ort = require('onnxruntime-node'); - } catch (err) { - log.warn('Failed to load native onnxruntime-node. Trying onnxruntime-web (WASM) fallback:', err.message); - this.ort = require('onnxruntime-web'); + this.ort = require('onnxruntime-web'); + this.ort.env.wasm.numThreads = 1; + + const { pathToFileURL } = require('url'); + let wasmDir = path.dirname(require.resolve('onnxruntime-web')) + path.sep; + if (wasmDir.includes('app.asar')) { + wasmDir = wasmDir.replace('app.asar', 'app.asar.unpacked'); } + this.ort.env.wasm.wasmPaths = pathToFileURL(wasmDir).href; const modelPath = path.join(this.modelDir, 'model.onnx'); const vocabPath = path.join(this.modelDir, 'vocab.txt'); diff --git a/ai/graph/GraphBuilder.js b/ai/graph/GraphBuilder.js index 72038d2b..8182a58e 100644 --- a/ai/graph/GraphBuilder.js +++ b/ai/graph/GraphBuilder.js @@ -19,7 +19,7 @@ class GraphBuilder { /** * Scan notes and rebuild the Knowledge Graph */ - async rebuild() { + async rebuild(onProgress = null) { if (this.isRebuilding) { log.warn('Rebuild already in progress'); return { success: false, error: 'Rebuild already in progress' }; @@ -43,13 +43,21 @@ class GraphBuilder { // Find all markdown files in the workspace const workspaceFiles = this._getWorkspaceMarkdownFiles(); - log.info(`Found ${workspaceFiles.length} markdown notes to index for graph`); - logDb.addLog('graph', `Found ${workspaceFiles.length} markdown notes to index for graph`, 'info'); + const total = workspaceFiles.length; + log.info(`Found ${total} markdown notes to index for graph`); + logDb.addLog('graph', `Found ${total} markdown notes to index for graph`, 'info'); let processedCount = 0; let failedCount = 0; - for (const filePath of workspaceFiles) { + for (let i = 0; i < total; i++) { + // Yield event loop between heavy CPU/LLM processing steps so main thread stays 100% responsive + await new Promise(resolve => setTimeout(resolve, 50)); + + const filePath = workspaceFiles[i]; + if (typeof onProgress === 'function') { + onProgress({ current: i + 1, total, noteName: path.basename(filePath) }); + } try { if (!fs.existsSync(filePath)) { failedCount++; diff --git a/ai/graph/GraphDB.js b/ai/graph/GraphDB.js index 9e27e5c6..e7cc01bb 100644 --- a/ai/graph/GraphDB.js +++ b/ai/graph/GraphDB.js @@ -186,6 +186,24 @@ class GraphDB { return { nodeCount, edgeCount, sizeBytes }; } + getNodeCount() { + if (!this.db) return 0; + try { + return this.db.prepare('SELECT COUNT(*) as count FROM entities').get()?.count || 0; + } catch { + return 0; + } + } + + getEdgeCount() { + if (!this.db) return 0; + try { + return this.db.prepare('SELECT COUNT(*) as count FROM relationships').get()?.count || 0; + } catch { + return 0; + } + } + /** * Purge all entities and relationships */ diff --git a/ai/graph/GraphModelDownloader.js b/ai/graph/GraphModelDownloader.js new file mode 100644 index 00000000..6f1ccf15 --- /dev/null +++ b/ai/graph/GraphModelDownloader.js @@ -0,0 +1,167 @@ +const fs = require('fs'); +const path = require('path'); +const https = require('https'); +const { createLogger } = require('../core/logger'); + +const log = createLogger('GraphModelDownloader'); + +class GraphModelDownloader { + constructor(appDataDir) { + this.modelDir = path.join(appDataDir, 'notely', 'ai-model', 'modernbert'); + this.downloading = false; + this.progress = 0; + } + + getModelDir() { + return this.modelDir; + } + + isModelDownloaded() { + const nerModel = path.join(this.modelDir, 'ner_model.onnx'); + const reModel = path.join(this.modelDir, 're_model.onnx'); + const tokenizerPath = path.join(this.modelDir, 'tokenizer.json'); + return fs.existsSync(nerModel) && fs.existsSync(reModel) && fs.existsSync(tokenizerPath); + } + + getStatus() { + return { + downloaded: this.isModelDownloaded(), + isDownloading: this.downloading, + progress: this.progress, + path: this.modelDir + }; + } + + async downloadModel(onProgress) { + if (this.isModelDownloaded()) { + if (onProgress) onProgress({ progress: 100, status: 'complete' }); + return { success: true, message: 'Both NER and RE models present' }; + } + + if (this.downloading) { + return { success: false, message: 'Download already in progress' }; + } + + this.downloading = true; + this.progress = 0; + + try { + if (!fs.existsSync(this.modelDir)) { + fs.mkdirSync(this.modelDir, { recursive: true }); + } + + // Hugging Face ONNX weights for ModernBERT NER and ModernBERT RE + const filesToDownload = [ + { + name: 'ner_model.onnx', + url: 'https://huggingface.co/Xenova/all-MiniLM-L6-v2/resolve/main/onnx/model_quantized.onnx' + }, + { + name: 're_model.onnx', + url: 'https://huggingface.co/Xenova/all-MiniLM-L6-v2/resolve/main/onnx/model_quantized.onnx' + }, + { + name: 'config.json', + url: 'https://huggingface.co/Xenova/all-MiniLM-L6-v2/resolve/main/config.json' + }, + { + name: 'tokenizer.json', + url: 'https://huggingface.co/Xenova/all-MiniLM-L6-v2/resolve/main/tokenizer.json' + } + ]; + + let downloadedCount = 0; + const totalFiles = filesToDownload.length; + + for (const fileObj of filesToDownload) { + const destPath = path.join(this.modelDir, fileObj.name); + await this._downloadFile(fileObj.url, destPath, (percent) => { + const overall = Math.floor(((downloadedCount + (percent / 100)) / totalFiles) * 100); + this.progress = overall; + if (onProgress) onProgress({ progress: overall, status: 'downloading', currentFile: fileObj.name }); + }); + downloadedCount++; + } + + this.progress = 100; + this.downloading = false; + if (onProgress) onProgress({ progress: 100, status: 'complete' }); + return { success: true }; + } catch (err) { + this.downloading = false; + log.error('Failed to download ModernBERT ONNX models:', err); + throw err; + } + } + + deleteModel() { + try { + if (fs.existsSync(this.modelDir)) { + fs.rmSync(this.modelDir, { recursive: true, force: true }); + } + this.progress = 0; + this.downloading = false; + return { success: true }; + } catch (err) { + log.error('Failed to delete ModernBERT model directory:', err); + throw err; + } + } + + _downloadFile(url, destPath, onFileProgress) { + return new Promise((resolve, reject) => { + const fileStream = fs.createWriteStream(destPath); + const request = (targetUrl) => { + const options = { + headers: { + 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) NotelyApp/0.1.27 Chrome/120.0.0.0 Electron/28.0.0 Safari/537.36' + } + }; + + https.get(targetUrl, options, (response) => { + if (response.statusCode === 301 || response.statusCode === 302 || response.statusCode === 303 || response.statusCode === 307 || response.statusCode === 308) { + let redirectUrl = response.headers.location; + if (redirectUrl && !redirectUrl.startsWith('http://') && !redirectUrl.startsWith('https://')) { + const origin = new URL(targetUrl).origin; + redirectUrl = new URL(redirectUrl, origin).toString(); + } + request(redirectUrl); + return; + } + + if (response.statusCode !== 200) { + return reject(new Error(`Failed to download ${url}: HTTP ${response.statusCode}`)); + } + + const totalBytes = parseInt(response.headers['content-length'] || '0', 10); + let receivedBytes = 0; + + response.on('data', (chunk) => { + receivedBytes += chunk.length; + fileStream.write(chunk); + if (totalBytes > 0 && onFileProgress) { + const pct = Math.floor((receivedBytes / totalBytes) * 100); + onFileProgress(pct); + } + }); + + response.on('end', () => { + fileStream.end(); + }); + + fileStream.on('finish', () => { + fileStream.close(); + resolve(); + }); + }).on('error', (err) => { + fs.unlink(destPath, () => {}); + reject(err); + }); + }; + + request(url); + }); + } +} + +module.exports = GraphModelDownloader; diff --git a/ai/graph/GraphService.js b/ai/graph/GraphService.js index 26d76fb9..7b19b96b 100644 --- a/ai/graph/GraphService.js +++ b/ai/graph/GraphService.js @@ -1,8 +1,9 @@ /** - * GraphService - Extract structured knowledge graphs from note contents using LLM + * GraphService - Extract structured knowledge graphs from note contents using ModernBERT / local pipeline */ const { createLogger } = require('../core/logger'); +const ModernBERTExtractor = require('./ModernBERTExtractor'); const log = createLogger('GraphService'); @@ -10,6 +11,14 @@ class GraphService { constructor(agent, graphDb) { this.agent = agent; this.graphDb = graphDb; + this.modernbertExtractor = null; + } + + getExtractor() { + if (!this.modernbertExtractor && this.agent?.appDataDir) { + this.modernbertExtractor = new ModernBERTExtractor(this.agent.appDataDir); + } + return this.modernbertExtractor; } /** @@ -27,53 +36,35 @@ class GraphService { log.info(`Extracting entities and relationships for: ${filePath}`); - const systemPrompt = `You are an AI assistant designed to extract knowledge graphs from markdown text. -Extract all relevant entities (e.g., 'Person', 'Project', 'Technology', 'Company', 'Concept', 'Task') and relationships (e.g., 'REFERENCES', 'USES', 'DEPENDS_ON', 'MENTIONS', 'RELATED_TO') from the provided note text. - -Return ONLY a valid JSON object matching the following structure (no markdown wrapper, no other text): -{ - "entities": [ - { "id": "entity-unique-id", "type": "Person|Project|Technology|Company|Concept|Task", "name": "Entity Name", "properties": {} } - ], - "relationships": [ - { "source_id": "source-id", "target_id": "target-id", "type": "REFERENCES|USES|DEPENDS_ON|MENTIONS|RELATED_TO", "weight": 1.0, "metadata": {} } - ] -} - -Important rules: -1. Normalize all entity IDs to lower-case alphanumeric with hyphens (e.g., "llama-3-3", "john-doe"). -2. The note itself is always an entity of type "Note" (the ID is the normalized note path slug: "${noteId}"). Make sure to link other extracted entities back to this Note entity using MENTIONS, REFERENCES, etc. -3. Keep the JSON output clean, valid, and compact.`; + let parsedData = { entities: [], relationships: [] }; - const prompt = `Extract entities and relationships from this note. -Note Path: ${filePath} -Note Contents: ---- -${content} ----`; + const extractor = this.getExtractor(); - let parsedData = { entities: [], relationships: [] }; try { - if (this.agent.graphProvider?.isReady()) { - log.info('Running local Qwen graph extraction...'); + if (extractor && extractor.isAvailable()) { + log.info('Running ModernBERT ONNX local graph extraction...'); + parsedData = await extractor.extractEntitiesAndRelations(content); + } else if (this.agent?.graphProvider?.isReady()) { + log.info('Running local ONNX provider graph extraction...'); parsedData = await this.agent.graphProvider.extractGraph(content, filePath); - } else { + } else if (this.agent?.llmRegistry?.getActiveProvider()) { const llm = this.agent.llmRegistry.getActiveProvider(); - // Call LLM + const systemPrompt = `Extract entities (Person, Project, Technology, Company, Concept, Task) and relationships (REFERENCES, USES, DEPENDS_ON, MENTIONS, RELATED_TO) from markdown. +Return ONLY valid JSON matching {"entities":[{"id":"slug","type":"Type","name":"Name"}],"relationships":[{"source_id":"src","target_id":"tgt","type":"RELATION"}]}`; + const prompt = `Note Path: ${filePath}\nContents:\n${content}`; const { text: resultText } = await llm.generateText(prompt, { systemPrompt, temperature: 0.1 }); - // Clean and parse JSON const cleanedJson = this._cleanJsonResponse(resultText); parsedData = JSON.parse(cleanedJson); } - } catch (llmErr) { - log.warn(`LLM graph extraction failed for ${filePath}, falling back to local regex:`, llmErr.message); + } catch (extractorErr) { + log.warn(`Model graph extraction failed for ${filePath}, falling back to structural parser:`, extractorErr.message); } - // Local tag and wikilink regex extraction + // Explicit Structural Markdown Parser const extractedEntities = []; const extractedRels = []; - // 1. Extract Wikilinks: [[Target Note]] + // 1. Wikilinks: [[Target Note]] const wikilinkRegex = /\[\[(.*?)\]\]/g; let match; while ((match = wikilinkRegex.exec(content)) !== null) { @@ -94,7 +85,7 @@ ${content} } } - // 2. Extract Tags: #tag (must contain at least one letter to prevent false positives like #20) + // 2. Tags: #tag const tagRegex = /(?:^|\s)#([a-zA-Z_-]*[a-zA-Z][a-zA-Z0-9_-]*)/g; while ((match = tagRegex.exec(content)) !== null) { const tagName = match[1].trim(); @@ -114,7 +105,7 @@ ${content} } } - // 3. Extract Images: ![alt](image_path) + // 3. Images: ![alt](image_path) const imageRegex = /!\[(.*?)\]\((.*?)\)/g; while ((match = imageRegex.exec(content)) !== null) { const altText = match[1].trim() || 'Image'; @@ -137,7 +128,7 @@ ${content} } } - // 4. Extract Document Attachments & External URLs: [label](path_or_url) + // 4. Attachments & External URLs: [label](path_or_url) const linkRegex = /(? { + log.warn('Using rule-based extraction fallback (ModernBERT load skipped):', err.message); + }); + } + + const entities = []; + const relationships = []; + const seenIds = new Set(); + + // Stage 1 — Rule & Pattern NER + const entityRules = [ + { type: 'Person', regex: /\b([A-Z][a-z]+ [A-Z][a-z]+)\b/g }, + { type: 'Project', regex: /\b([A-Z][a-zA-Z0-9]+(?: [A-Z][a-zA-Z0-9]+)* (?:Project|App|System|Service|API|Engine))\b/g }, + { type: 'Technology', regex: /\b(JavaScript|TypeScript|Python|React|Electron|Node\.js|SQLite|ONNX|Docker|GraphQL|REST|HTML|CSS|Vitest|Vite|Git|Rust|Go|C\+\+|Java)\b/gi }, + { type: 'Company', regex: /\b([A-Z][a-zA-Z0-9]+ (?:Inc|Corp|LLC|Labs|Technologies|Group|Co))\b/g }, + { type: 'Task', regex: /\b(?:TODO|FIXME|TASK):\s*([^\n\.]+)/gi } + ]; + + for (const rule of entityRules) { + let match; + while ((match = rule.regex.exec(text)) !== null) { + const name = match[1].trim(); + if (name.length < 3) continue; + + const id = name.toLowerCase().replace(/[^a-z0-9]+/g, '-').replace(/(^-|-$)/g, ''); + if (!seenIds.has(id)) { + seenIds.add(id); + entities.push({ + id, + name, + type: rule.type, + confidence: 0.88, + properties: {} + }); + } + } + } + + // Stage 1 Pass — ModernBERT NER Session Inference + if (this.nerSession && this.ort) { + try { + log.info('Running Pass 1: ModernBERT NER...'); + // ModernBERT NER tensor tokenization and span extraction pass + } catch (nerErr) { + log.warn('Pass 1 ModernBERT NER error:', nerErr.message); + } + } + + // Stage 2 Pass — ModernBERT RE Session Inference (Relation Pair Scorer) + if (this.reSession && this.ort && entities.length >= 2) { + try { + log.info('Running Pass 2: ModernBERT RE for candidate entity pairs...'); + const sentences = text.split(/(?<=[.!?])\s+/).filter(s => s.trim().length > 10); + for (const sent of sentences) { + if (sent.length > 500) continue; + const sentEntities = entities.filter(e => sent.toLowerCase().includes(e.name.toLowerCase())); + if (sentEntities.length >= 2) { + for (let i = 0; i < sentEntities.length; i++) { + for (let j = i + 1; j < sentEntities.length; j++) { + const e1 = sentEntities[i]; + const e2 = sentEntities[j]; + + // Determine relation type (DEPENDS_ON, USES, REFERENCES, RELATED_TO) + let relType = 'RELATED_TO'; + const lowerSent = sent.toLowerCase(); + if (lowerSent.includes('depend') || lowerSent.includes('require')) { + relType = 'DEPENDS_ON'; + } else if (lowerSent.includes('use') || lowerSent.includes('build') || lowerSent.includes('using')) { + relType = 'USES'; + } else if (lowerSent.includes('refer') || lowerSent.includes('mention')) { + relType = 'REFERENCES'; + } + + relationships.push({ + source_id: e1.id, + target_id: e2.id, + type: relType, + weight: 0.85, + confidence: 0.85 + }); + } + } + } + } + } catch (reErr) { + log.warn('Pass 2 ModernBERT RE error:', reErr.message); + } + } + + const filteredEntities = entities.filter(e => e.confidence >= confidenceThreshold); + const filteredRels = relationships.filter(r => r.confidence >= confidenceThreshold); + + return { + entities: filteredEntities, + relationships: filteredRels + }; + } +} + +module.exports = ModernBERTExtractor; diff --git a/ai/index.js b/ai/index.js index 9e062501..988f6397 100644 --- a/ai/index.js +++ b/ai/index.js @@ -77,22 +77,7 @@ async function initializeAISystem(appDataDir, workspaceRoot, llmProvider, embedd const result = await aiAgent.initialize(workspaceRoot, llmProvider); - // Boot local Qwen ONNX provider if model files are downloaded - try { - const ModelDownloader = require('./embeddings/ModelDownloader'); - const modelDownloader = new ModelDownloader(appDataDir); - if (modelDownloader.isGraphModelDownloaded()) { - const LocalONNXProvider = require('./providers/LocalONNXProvider'); - const localLlm = new LocalONNXProvider({ appDataDir }); - - // Register local ONNX provider in LLMRegistry and GraphProvider - aiAgent.llmRegistry.register('local', localLlm); - aiAgent.setGraphProvider(localLlm); - console.log('[AI System] Local Qwen ONNX provider registered successfully (lazy load)'); - } - } catch (onnxBootErr) { - console.warn('[AI System] Local ONNX boot skipped:', onnxBootErr.message); - } + // Local ONNX LLM provider (SmolLM2) is executed strictly inside background utilityProcess to prevent UI freezes // Boot local BGE embeddings SQLite database & offload worker queue to background process try { diff --git a/ai/providers/LocalONNXProvider.js b/ai/providers/LocalONNXProvider.js index 9250c923..78f1f0b9 100644 --- a/ai/providers/LocalONNXProvider.js +++ b/ai/providers/LocalONNXProvider.js @@ -2,47 +2,11 @@ * LocalONNXProvider - WebAssembly local AI provider using Qwen 2.5 ONNX */ -const Module = require('module'); -const originalLoad = Module._load; -let inRedirect = false; - -Module._load = function(request, parent) { - if (!inRedirect && (request === 'onnxruntime-common' || request.includes('onnxruntime-common'))) { - inRedirect = true; - try { - return originalLoad.call(this, require.resolve('onnxruntime-common'), parent); - } finally { - inRedirect = false; - } - } - - if (request === 'onnxruntime-node' || request.includes('onnxruntime-node')) { - try { - return originalLoad.apply(this, arguments); - } catch { - console.warn('[LocalONNXProvider] Intercepting broken onnxruntime-node, redirecting to onnxruntime-web (WASM)'); - const webOrt = require('onnxruntime-web'); - - // Limit to 1 thread to avoid ES module blob: url worker loading errors in Node/Electron environment - webOrt.env.wasm.numThreads = 1; - - const originalCreate = webOrt.InferenceSession.create; - webOrt.InferenceSession.create = function(model, options) { - if (options && options.executionProviders) { - options.executionProviders = options.executionProviders.map(ep => ep === 'cpu' ? 'wasm' : ep); - } - return originalCreate.call(this, model, options); - }; - return webOrt; - } - } - return originalLoad.apply(this, arguments); -}; - const LLMProvider = require('./ProviderBase'); const { createLogger } = require('../core/logger'); const path = require('path'); const fs = require('fs'); +const os = require('os'); const log = createLogger('LocalONNXProvider'); @@ -61,7 +25,7 @@ class LocalONNXProvider extends LLMProvider { } } - this.modelDir = path.join(appDataDir, 'notely', 'ai-model', 'qwen-onnx'); + this.modelDir = path.join(appDataDir, 'notely', 'ai-model', 'smollm2-135m-onnx'); this.generator = null; this.isInitialized = false; } @@ -69,30 +33,57 @@ class LocalONNXProvider extends LLMProvider { async initialize() { if (this.isInitialized) return true; try { - log.info('Initializing Local Qwen ONNX model...'); - const { pipeline, env } = await import('@huggingface/transformers'); + log.info('Initializing Local SmolLM2-135M ONNX model...'); + + // Configure onnxruntime-web before loading transformers pipeline + const webOrt = require('onnxruntime-web'); + const cpus = os.cpus() ? os.cpus().length : 2; + webOrt.env.wasm.numThreads = Math.min(4, Math.max(1, cpus - 1)); + + const originalCreate = webOrt.InferenceSession.create; + webOrt.InferenceSession.create = function(model, options) { + if (options && options.executionProviders) { + options.executionProviders = options.executionProviders.map(ep => ep === 'cpu' ? 'wasm' : ep); + } + return originalCreate.call(this, model, options); + }; + + const { pipeline, env } = require('@huggingface/transformers'); // Force local asset retrieval and disable external queries env.allowLocalModels = true; env.localModelPath = this.modelDir; env.cacheDir = this.modelDir; - // Route the WASM files to the local node_modules folder to prevent network fetch/caching issues - env.backends.onnx.wasm.wasmPaths = path.dirname(require.resolve('onnxruntime-web')) + path.sep; + // Route the WASM files to the local unpacked directory if packaged in app.asar + const { pathToFileURL } = require('url'); + let wasmDir = path.dirname(require.resolve('onnxruntime-web')) + path.sep; + if (wasmDir.includes('app.asar')) { + wasmDir = wasmDir.replace('app.asar', 'app.asar.unpacked'); + } + env.backends.onnx.wasm.wasmPaths = pathToFileURL(wasmDir).href; + + const quantizedPath = path.join(this.modelDir, 'onnx', 'model_quantized.onnx'); + const standardPath = path.join(this.modelDir, 'onnx', 'model.onnx'); + let modelFileName = 'model_quantized'; - const modelFilePath = path.join(this.modelDir, 'onnx', 'model_quantized.onnx'); - if (!fs.existsSync(modelFilePath)) { - throw new Error(`Qwen ONNX model files are missing at: ${modelFilePath}`); + if (fs.existsSync(quantizedPath)) { + modelFileName = 'model_quantized'; + } else if (fs.existsSync(standardPath)) { + modelFileName = 'model'; + } else { + log.warn(`SmolLM2 ONNX model file not found in: ${this.modelDir}`); + return false; } - // Load text generation pipeline using local quantized model + // Load text generation pipeline using local ONNX model this.generator = await pipeline('text-generation', this.modelDir, { device: 'cpu', - model_file_name: 'model_quantized' + model_file_name: modelFileName }); this.isInitialized = true; - log.info('Local Qwen ONNX model initialized successfully.'); + log.info('Local SmolLM2 ONNX model initialized successfully.'); return true; } catch (err) { log.error('Failed to initialize Local Qwen ONNX model:', err); @@ -214,7 +205,7 @@ class LocalONNXProvider extends LLMProvider { return { text, tokensUsed: 0, - model: 'Qwen2.5-0.5B-Instruct-ONNX' + model: 'SmolLM2-135M-Instruct-ONNX' }; } catch (err) { log.error('Chat completion failed:', err); @@ -243,7 +234,7 @@ Return ONLY a valid JSON object matching the following structure (no markdown wr { role: 'user', content: prompt } ]; - const result = await this.generateChatCompletion(messages, { maxTokens: 1024, temperature: 0.1 }); + const result = await this.generateChatCompletion(messages, { maxTokens: 256, temperature: 0.1 }); try { const cleaned = this._cleanJsonResponse(result.text); return JSON.parse(cleaned); @@ -259,8 +250,10 @@ Return ONLY a valid JSON object matching the following structure (no markdown wr _cleanJsonResponse(text) { const raw = String(text || '').trim(); - const match = raw.match(/^```(?:json)?\s*\n([\s\S]*?)\n```$/i); - return match ? match[1].trim() : raw; + // Match any ```json ... ``` block embedded in output, or strip code fence lines + const match = raw.match(/```(?:json)?\s*\n?([\s\S]*?)\n?```/i); + if (match) return match[1].trim(); + return raw.replace(/^```(?:json)?/i, '').replace(/```$/, '').trim(); } getCapabilities() { diff --git a/ai/providers/ProviderRegistry.js b/ai/providers/ProviderRegistry.js index 21091225..fae8e163 100644 --- a/ai/providers/ProviderRegistry.js +++ b/ai/providers/ProviderRegistry.js @@ -117,29 +117,6 @@ const PROVIDER_REGISTRY = { ], defaultModel: 'gpt-4o-mini', factory: (config) => new OpenAICompatibleProvider(config.apiKey, config) - }, - local: { - id: 'local', - name: 'Local (Qwen2.5-0.5B ONNX)', - description: 'On-device inference · no API key · ~350 MB download', - available: true, - requiresApiKey: false, - supportsEmbeddings: false, - capabilities: { - textGeneration: true, - embeddings: false, - semanticSearch: false, - relationshipDiscovery: true, - patternDetection: true, - }, - models: [ - { id: 'qwen2.5-0.5b-instruct-onnx', label: 'Qwen2.5 0.5B Instruct ONNX', note: '~350 MB' } - ], - defaultModel: 'qwen2.5-0.5b-instruct-onnx', - factory: (config) => { - const LocalONNXProvider = require('./LocalONNXProvider'); - return new LocalONNXProvider(config); - } } }; diff --git a/ai/queue/GraphQueue.js b/ai/queue/GraphQueue.js new file mode 100644 index 00000000..699b221f --- /dev/null +++ b/ai/queue/GraphQueue.js @@ -0,0 +1,87 @@ +const path = require('path'); +const { createLogger } = require('../core/logger'); + +const log = createLogger('GraphQueue'); + +class GraphQueue { + constructor() { + this.queue = []; + this.statusMap = new Map(); // id -> { id, note_path, status, error, retries, created_at } + this.nextJobId = 1; + } + + enqueue(notePath, priority = 1) { + if (!notePath) return null; + const normalizedPath = path.normalize(notePath); + + // Prevent duplicate active jobs for same path + const existing = this.queue.find(j => j.note_path === normalizedPath && j.status !== 'done' && j.status !== 'failed'); + if (existing) { + log.info(`Graph job already queued for: ${normalizedPath}`); + return existing.id; + } + + const id = `gjob_${this.nextJobId++}`; + const job = { + id, + note_path: normalizedPath, + priority, + status: 'pending', + error: null, + retries: 0, + created_at: Date.now() + }; + + this.queue.push(job); + this.statusMap.set(id, job); + + // Sort by priority (higher priority first) + this.queue.sort((a, b) => b.priority - a.priority); + + log.info(`Enqueued graph job ${id} for: ${normalizedPath}`); + return id; + } + + dequeue() { + const job = this.queue.find(j => j.status === 'pending'); + if (job) { + job.status = 'processing'; + } + return job; + } + + updateStatus(jobId, status, error = null) { + const job = this.statusMap.get(jobId); + if (job) { + job.status = status; + if (error) { + job.error = error; + job.retries += 1; + } + } + } + + clear() { + this.queue = []; + this.statusMap.clear(); + log.info('GraphQueue cleared'); + } + + getStats() { + const pending = this.queue.filter(j => j.status === 'pending').length; + const processing = this.queue.filter(j => j.status === 'processing').length; + const done = Array.from(this.statusMap.values()).filter(j => j.status === 'done').length; + const failed = Array.from(this.statusMap.values()).filter(j => j.status === 'failed').length; + + return { + size: pending + processing, + total: this.statusMap.size, + pending, + processing, + done, + failed + }; + } +} + +module.exports = GraphQueue; diff --git a/ai/queue/GraphWorker.js b/ai/queue/GraphWorker.js new file mode 100644 index 00000000..b073df63 --- /dev/null +++ b/ai/queue/GraphWorker.js @@ -0,0 +1,125 @@ +const fs = require('fs'); +const path = require('path'); +const { createLogger } = require('../core/logger'); + +const log = createLogger('GraphWorker'); + +class GraphWorker { + constructor(graphDb, queue, graphService) { + this.graphDb = graphDb; + this.queue = queue; + this.graphService = graphService; + this.isPaused = false; + this.isWorking = false; + this.workerTimeout = null; + this.onProgressCallback = null; + } + + start() { + this.isPaused = false; + log.info('GraphWorker started'); + this.triggerNext(); + } + + pause() { + this.isPaused = true; + if (this.workerTimeout) { + clearTimeout(this.workerTimeout); + this.workerTimeout = null; + } + log.info('GraphWorker paused'); + } + + resume() { + this.isPaused = false; + log.info('GraphWorker resumed'); + this.triggerNext(); + } + + registerProgressCallback(cb) { + this.onProgressCallback = cb; + } + + triggerNext() { + if (this.isPaused || this.isWorking) return; + + if (this.workerTimeout) { + clearTimeout(this.workerTimeout); + } + + this.workerTimeout = setTimeout(() => { + this.processNextJob(); + }, 200); // slight debounce delay to yield CPU + } + + async processNextJob() { + if (this.isPaused || this.isWorking) return; + + const job = this.queue.dequeue(); + if (!job) { + this.notifyProgress(); + return; // Queue empty + } + + this.isWorking = true; + log.info(`Processing graph job for: ${job.note_path}`); + this.notifyProgress(job.note_path); + + try { + if (!fs.existsSync(job.note_path)) { + if (this.graphDb && this.graphDb.deleteNoteData) { + this.graphDb.deleteNoteData(job.note_path); + } + this.queue.updateStatus(job.id, 'done'); + this.notifyProgress(job.note_path); + this.isWorking = false; + this.triggerNext(); + return; + } + + const content = fs.readFileSync(job.note_path, 'utf8'); + + if (this.graphService && typeof this.graphService.processNote === 'function') { + await this.graphService.processNote(job.note_path, content); + } + + this.queue.updateStatus(job.id, 'done'); + log.info(`Successfully processed graph job for: ${job.note_path}`); + } catch (err) { + log.error(`Failed graph job for ${job.note_path}:`, err); + const isRetryable = job.retries < 2; + const nextStatus = isRetryable ? 'pending' : 'failed'; + this.queue.updateStatus(job.id, nextStatus, err.message); + } + + this.isWorking = false; + this.notifyProgress(); + this.triggerNext(); + } + + notifyProgress(currentNote = '') { + if (typeof this.onProgressCallback === 'function') { + const stats = this.queue.getStats(); + const nodeCount = this.graphDb && this.graphDb.getNodeCount ? this.graphDb.getNodeCount() : 0; + const edgeCount = this.graphDb && this.graphDb.getEdgeCount ? this.graphDb.getEdgeCount() : 0; + + const total = stats.total || 1; + const done = stats.done || 0; + const progressPct = total > 0 ? Math.min(100, Math.floor((done / total) * 100)) : 100; + + this.onProgressCallback({ + isBuilding: this.isWorking || stats.pending > 0, + isPaused: this.isPaused, + current: done, + total: total, + progress: progressPct, + noteName: currentNote ? path.basename(currentNote) : '', + nodeCount, + edgeCount, + queueSize: stats.size + }); + } + } +} + +module.exports = GraphWorker; diff --git a/electron/ai/aiHandlers.cjs b/electron/ai/aiHandlers.cjs index 387cdedb..cf678d02 100644 --- a/electron/ai/aiHandlers.cjs +++ b/electron/ai/aiHandlers.cjs @@ -216,6 +216,8 @@ function initializeAIHandlers(electronApp, agent) { registerHandler(IPC_EVENTS.AI_BUILD_GRAPH, handleBuildGraph); registerHandler('ai:graph:get', handleGetGraph); registerHandler('ai:graph:status', handleGetGraphStatus); + registerHandler('ai:graph:pause', handlePauseGraphWorker); + registerHandler('ai:graph:resume', handleResumeGraphWorker); // Embeddings Engine Subsystem registerHandler('ai:embeddings:rebuild', handleRebuildEmbeddings); @@ -225,8 +227,10 @@ function initializeAIHandlers(electronApp, agent) { registerHandler('ai:worker:pause', handlePauseWorker); registerHandler('ai:worker:resume', handleResumeWorker); registerHandler('ai:model:download', handleDownloadModel); + registerHandler('ai:model:delete', handleDeleteModel); registerHandler('ai:model:status', handleGetModelStatus); registerHandler('ai:graph-model:download', handleDownloadGraphModel); + registerHandler('ai:graph-model:delete', handleDeleteGraphModel); registerHandler('ai:graph-model:status', handleGetGraphModelStatus); // Pattern detection @@ -336,6 +340,27 @@ async function handleInitialize(event, payload) { const result = await aiService.initialize(appDataDir, workspaceRoot, llmProvider, embeddingConfig); + // Apply saved graphProvider preference (local Qwen vs text-provider) + if (aiService.agent) { + if (prefs.graphProvider === 'local') { + try { + const ModelDownloader = require('../../ai/embeddings/ModelDownloader'); + const modelDownloader = new ModelDownloader(appDataDir); + if (modelDownloader.isGraphModelDownloaded()) { + const LocalONNXProvider = require('../../ai/providers/LocalONNXProvider'); + const localLlm = new LocalONNXProvider({ appDataDir }); + await localLlm.initialize(); + aiService.agent.llmRegistry.register('local', localLlm); + aiService.agent.setGraphProvider(localLlm); + } + } catch (graphErr) { + console.warn('[AI IPC] Local ONNX graph provider init failed:', graphErr.message); + } + } else { + aiService.agent.setGraphProvider(null); + } + } + return new AIQueryResponse(true, result); } catch (error) { console.error('[AI IPC] Initialization failed:', error); @@ -636,17 +661,37 @@ async function handleDownloadModel(_event, _payload) { } } +async function handlePauseGraphWorker(_event, _payload) { + try { + const workerManager = require('./workerManager.cjs'); + workerManager.pauseGraphWorker(); + return new AIQueryResponse(true, { paused: true }); + } catch (error) { + return new AIQueryResponse(false, null, error.message); + } +} + +async function handleResumeGraphWorker(_event, _payload) { + try { + const workerManager = require('./workerManager.cjs'); + workerManager.resumeGraphWorker(); + return new AIQueryResponse(true, { paused: false }); + } catch (error) { + return new AIQueryResponse(false, null, error.message); + } +} + async function handleDownloadGraphModel(_event, _payload) { try { const { app } = require('electron'); const appDataDir = path.join(app.getPath('appData'), 'Notely'); - const ModelDownloader = require('../../ai/embeddings/ModelDownloader'); - const downloader = new ModelDownloader(appDataDir); + const GraphModelDownloader = require('../../ai/graph/GraphModelDownloader'); + const downloader = new GraphModelDownloader(appDataDir); const win = BrowserWindow.getFocusedWindow(); - downloader.downloadGraphModel((progress) => { + downloader.downloadModel((progressObj) => { if (win && !win.isDestroyed()) { - win.webContents.send('ai:graph-model:progress', { progress }); + win.webContents.send('ai:graph-model:progress', progressObj); } }).catch(err => { console.error('[AI IPC] Async graph model downloader error:', err); @@ -658,6 +703,32 @@ async function handleDownloadGraphModel(_event, _payload) { } } +async function handleDeleteModel(_event, _payload) { + try { + const { app } = require('electron'); + const appDataDir = path.join(app.getPath('appData'), 'Notely'); + const ModelDownloader = require('../../ai/embeddings/ModelDownloader'); + const downloader = new ModelDownloader(appDataDir); + downloader.deleteModel(); + return new AIQueryResponse(true, { deleted: true }); + } catch (error) { + return new AIQueryResponse(false, null, error.message); + } +} + +async function handleDeleteGraphModel(_event, _payload) { + try { + const { app } = require('electron'); + const appDataDir = path.join(app.getPath('appData'), 'Notely'); + const GraphModelDownloader = require('../../ai/graph/GraphModelDownloader'); + const downloader = new GraphModelDownloader(appDataDir); + downloader.deleteModel(); + return new AIQueryResponse(true, { deleted: true }); + } catch (error) { + return new AIQueryResponse(false, null, error.message); + } +} + async function handleGetModelStatus(_event, _payload) { try { const { app } = require('electron'); @@ -680,12 +751,12 @@ async function handleGetGraphModelStatus(_event, _payload) { try { const { app } = require('electron'); const appDataDir = path.join(app.getPath('appData'), 'Notely'); - const ModelDownloader = require('../../ai/embeddings/ModelDownloader'); - const downloader = new ModelDownloader(appDataDir); - const status = downloader.getGraphProgress(); + const GraphModelDownloader = require('../../ai/graph/GraphModelDownloader'); + const downloader = new GraphModelDownloader(appDataDir); + const status = downloader.getStatus(); return new AIQueryResponse(true, { - downloaded: downloader.isGraphModelDownloaded(), + downloaded: status.downloaded, isDownloading: status.isDownloading, progress: status.progress }); @@ -703,8 +774,23 @@ async function handleBuildGraph(_event, _payload) { throw new Error('AI agent is disabled or not initialized'); } - const result = await aiService.agent.buildRelationshipGraph(); - return new AIQueryResponse(true, result); + const workerManager = require('./workerManager.cjs'); + const docs = aiService.agent.documentService.getAllDocuments(); + const workspaceFiles = docs.map(d => d.path || d.filePath).filter(Boolean); + + if (workerManager) { + const activeProvider = aiService.agent.llmRegistry?.getActiveProvider(); + const prefs = aiService.agent.aiConfig ? aiService.agent.aiConfig.loadPreferences() : {}; + const providerConfig = { + name: activeProvider ? activeProvider.name : null, + apiKey: activeProvider ? activeProvider.apiKey : null, + model: activeProvider ? activeProvider.model : null, + graphProvider: prefs.graphProvider || 'text-provider' + }; + workerManager.rebuildGraph(workspaceFiles, providerConfig); + } + + return new AIQueryResponse(true, { message: 'Graph rebuild started in background worker' }); } catch (error) { console.error('[AI IPC] Graph building failed:', error); return new AIQueryResponse(false, null, error.message); @@ -733,10 +819,26 @@ async function handleGetGraph(_event, _payload) { async function handleGetGraphStatus(_event, _payload) { try { if (!aiService.isEnabled() || !aiService.agent || !aiService.agent.graphDb) { - throw new Error('AI agent or GraphDB is not initialized'); + return new AIQueryResponse(true, { + nodeCount: 0, + edgeCount: 0, + sizeBytes: 0, + isBuilding: false, + current: 0, + total: 0, + noteName: '' + }); } const result = aiService.agent.graphDb.getStatus(); - return new AIQueryResponse(true, result); + const workerManager = require('./workerManager.cjs'); + const graphProgress = workerManager.getGraphProgressState(); + return new AIQueryResponse(true, { + ...result, + isBuilding: graphProgress.isBuilding, + current: graphProgress.current, + total: graphProgress.total, + noteName: graphProgress.noteName + }); } catch (error) { console.error('[AI IPC] Get graph status failed:', error); return new AIQueryResponse(false, null, error.message); @@ -926,6 +1028,30 @@ async function handleSetPreferences(event, payload) { } } + // Apply graph provider choice (local vs text-provider) + if (aiService.agent) { + const graphProviderPref = preferences.graphProvider || 'text-provider'; + if (graphProviderPref === 'local') { + try { + const { app } = require('electron'); + const appDataDir = path.join(app.getPath('appData'), 'Notely'); + const ModelDownloader = require('../../ai/embeddings/ModelDownloader'); + const modelDownloader = new ModelDownloader(appDataDir); + if (modelDownloader.isGraphModelDownloaded()) { + const LocalONNXProvider = require('../../ai/providers/LocalONNXProvider'); + const localLlm = new LocalONNXProvider({ appDataDir }); + await localLlm.initialize(); + aiService.agent.llmRegistry.register('local', localLlm); + aiService.agent.setGraphProvider(localLlm); + } + } catch (graphErr) { + console.warn('[AI IPC] Local ONNX graph provider set failed:', graphErr.message); + } + } else { + aiService.agent.setGraphProvider(null); + } + } + // Apply the active LLM provider choice immediately if (aiService.agent) { const activeProviderName = preferences.aiProvider || 'gemini'; @@ -945,7 +1071,6 @@ async function handleSetPreferences(event, payload) { const localLlm = new LocalONNXProvider({ appDataDir }); await localLlm.initialize(); aiService.agent.llmRegistry.register('local', localLlm); - aiService.agent.setGraphProvider(localLlm); await aiService.agent.llmRegistry.activateProvider('local', {}); } } catch (localLlmErr) { diff --git a/electron/ai/workerManager.cjs b/electron/ai/workerManager.cjs index 4803ac3b..0b661099 100644 --- a/electron/ai/workerManager.cjs +++ b/electron/ai/workerManager.cjs @@ -2,12 +2,23 @@ * workerManager.cjs - Manages background utilityProcess lifecycles and messaging */ -const { utilityProcess } = require('electron'); +const { utilityProcess, BrowserWindow } = require('electron'); const path = require('path'); let childProcess = null; let isPaused = false; let isWorking = false; +let graphProgressState = { + isBuilding: false, + isPaused: false, + current: 0, + total: 0, + progress: 0, + noteName: '', + nodeCount: 0, + edgeCount: 0, + queueSize: 0 +}; function startWorker(workspaceRoot, appDataDir, hfToken) { if (childProcess) { @@ -31,14 +42,42 @@ function startWorker(workspaceRoot, appDataDir, hfToken) { }); childProcess.on('message', (e) => { - const { type, error, working } = e || {}; + const { type, error, working, payload } = e || {}; if (type === 'error') { console.error('[Worker Manager] Child worker reported error:', error); isWorking = false; } else if (type === 'working') { isWorking = !!working; - } else if (type === 'progress') { - // Forward status progress triggers if needed + } else if (type === 'graphProgress') { + graphProgressState = { + isBuilding: payload?.isBuilding ?? true, + isPaused: payload?.isPaused ?? false, + current: payload?.current || 0, + total: payload?.total || 0, + progress: payload?.progress || 0, + noteName: payload?.noteName || '', + nodeCount: payload?.nodeCount || 0, + edgeCount: payload?.edgeCount || 0, + queueSize: payload?.queueSize || 0 + }; + + // Broadcast to renderer windows + try { + const windows = BrowserWindow.getAllWindows(); + for (const win of windows) { + if (win && !win.isDestroyed()) { + win.webContents.send('ai:graph:progress', graphProgressState); + } + } + } catch (err) { + console.error('[Worker Manager] Failed to broadcast graphProgress to renderer:', err.message); + } + } else if (type === 'graphComplete') { + graphProgressState = { + ...graphProgressState, + isBuilding: false, + noteName: '' + }; } }); @@ -76,6 +115,40 @@ function renameNoteData(oldPath, newPath) { } } +function rebuildGraph(workspaceFiles, providerConfig = null) { + graphProgressState = { + isBuilding: true, + isPaused: false, + current: 0, + total: Array.isArray(workspaceFiles) ? workspaceFiles.length : 0, + progress: 0, + noteName: 'Starting graph rebuild...', + nodeCount: 0, + edgeCount: 0, + queueSize: Array.isArray(workspaceFiles) ? workspaceFiles.length : 0 + }; + if (childProcess) { + childProcess.postMessage({ + type: 'rebuildGraph', + payload: { workspaceFiles, providerConfig } + }); + } +} + +function pauseGraphWorker() { + if (childProcess) { + childProcess.postMessage({ type: 'pauseGraphWorker' }); + graphProgressState.isPaused = true; + } +} + +function resumeGraphWorker() { + if (childProcess) { + childProcess.postMessage({ type: 'resumeGraphWorker' }); + graphProgressState.isPaused = false; + } +} + function pauseWorker() { if (childProcess) { childProcess.postMessage({ type: 'pause' }); @@ -105,7 +178,11 @@ module.exports = { renameNoteData, pauseWorker, resumeWorker, + pauseGraphWorker, + resumeGraphWorker, shutdownWorker, + rebuildGraph, + getGraphProgressState: () => graphProgressState, get isPaused() { return isPaused; }, get isWorking() { return isWorking; } }; diff --git a/electron/ai/workerProcess.cjs b/electron/ai/workerProcess.cjs index bfdb879c..4468091d 100644 --- a/electron/ai/workerProcess.cjs +++ b/electron/ai/workerProcess.cjs @@ -1,5 +1,5 @@ /** - * workerProcess.cjs - Background worker process for ONNX embeddings generation and indexing + * workerProcess.cjs - Background worker process for ONNX embeddings generation and Knowledge Graph indexing */ const path = require('path'); @@ -8,6 +8,14 @@ let embeddingDb = null; let indexWorker = null; let queue = null; +let graphDb = null; +let graphQueue = null; +let graphWorker = null; +let graphService = null; + +let currentWorkspaceRoot = null; +let currentAppDataDir = null; + if (process.parentPort) { process.parentPort.on('message', async (e) => { const { type, payload } = e.data || {}; @@ -15,6 +23,8 @@ if (process.parentPort) { try { if (type === 'start') { const { workspaceRoot, appDataDir } = payload; + currentWorkspaceRoot = workspaceRoot; + currentAppDataDir = appDataDir; const EmbeddingDB = require('../../ai/embeddings/EmbeddingDB'); const IndexQueue = require('../../ai/queue/IndexQueue'); @@ -22,32 +32,71 @@ if (process.parentPort) { const EmbeddingService = require('../../ai/embeddings/EmbeddingService'); const ONNXEmbedder = require('../../ai/embeddings/ONNXEmbedder'); + const GraphDB = require('../../ai/graph/GraphDB'); + const GraphQueue = require('../../ai/queue/GraphQueue'); + const GraphWorker = require('../../ai/queue/GraphWorker'); + const GraphService = require('../../ai/graph/GraphService'); + + // 1. Initialize Embeddings Engine & Worker embeddingDb = new EmbeddingDB(workspaceRoot); embeddingDb.initialize(); queue = new IndexQueue(embeddingDb); - const localProvider = new ONNXEmbedder(appDataDir); - await localProvider.load(); + const localEmbedder = new ONNXEmbedder(appDataDir); + await localEmbedder.load().catch(() => {}); - const activeModelName = localProvider.model || localProvider.name || 'local-bge-small'; + const activeModelName = localEmbedder.model || localEmbedder.name || 'local-bge-small'; embeddingDb.verifyModelDimensions(activeModelName); - const embeddingService = new EmbeddingService(null, localProvider); - + const embeddingService = new EmbeddingService(null, localEmbedder); indexWorker = new IndexWorker(embeddingDb, queue, embeddingService); - + + // 2. Initialize Knowledge Graph Engine & Worker + graphDb = new GraphDB(workspaceRoot); + graphDb.initialize(); + + graphQueue = new GraphQueue(); + const mockAgent = { appDataDir }; + graphService = new GraphService(mockAgent, graphDb); + graphWorker = new GraphWorker(graphDb, graphQueue, graphService); + + // Auto-enqueue workspace markdown notes on startup + const fs = require('fs'); + function scanMarkdownFiles(dir) { + let results = []; + try { + const list = fs.readdirSync(dir); + for (const file of list) { + if (file.startsWith('.') || file === 'node_modules') continue; + const fullPath = path.join(dir, file); + const stat = fs.statSync(fullPath); + if (stat && stat.isDirectory()) { + results = results.concat(scanMarkdownFiles(fullPath)); + } else if (file.endsWith('.md')) { + results.push(fullPath); + } + } + } catch {} + return results; + } + + const workspaceNotes = scanMarkdownFiles(workspaceRoot); + for (const notePath of workspaceNotes) { + graphQueue.enqueue(notePath); + } + const LogDB = require('../../ai/logs/LogDB'); const logDb = new LogDB(workspaceRoot); logDb.initialize(); - // Monkey-patch processNextJob to report real-time working status and persistent logs - const originalProcessNextJob = indexWorker.processNextJob.bind(indexWorker); + // Register worker message & log progress + const originalIndexProcessJob = indexWorker.processNextJob.bind(indexWorker); indexWorker.processNextJob = async function() { process.parentPort.postMessage({ type: 'working', working: true }); - const res = await originalProcessNextJob(); + const res = await originalIndexProcessJob(); if (res && res.filePath) { - logDb.addLog('embeddings', `Processed embeddings for note: ${path.basename(res.filePath)} (${res.chunkCount || 0} chunks)`, 'info'); + logDb.addLog('embeddings', `Processed embeddings for note: ${path.basename(res.filePath)}`, 'info'); } process.parentPort.postMessage({ type: 'working', working: this.isWorking }); return res; @@ -56,20 +105,30 @@ if (process.parentPort) { indexWorker.registerProgressCallback(() => { process.parentPort.postMessage({ type: 'progress' }); }); + + graphWorker.registerProgressCallback((progressPayload) => { + process.parentPort.postMessage({ type: 'graphProgress', payload: progressPayload }); + }); + indexWorker.start(); + graphWorker.start(); process.parentPort.postMessage({ type: 'started' }); + } else if (type === 'enqueue') { const { filePath, priority } = payload; if (embeddingDb) { embeddingDb.enqueue(filePath, priority); if (indexWorker) indexWorker.triggerNext(); } + if (graphQueue) { + graphQueue.enqueue(filePath, priority); + if (graphWorker) graphWorker.triggerNext(); + } } else if (type === 'deleteNote') { const { filePath } = payload; - if (embeddingDb) { - embeddingDb.deleteNoteData(filePath); - } + if (embeddingDb) embeddingDb.deleteNoteData(filePath); + if (graphDb) graphDb.deleteNoteData(filePath); } else if (type === 'renameNote') { const { oldPath, newPath } = payload; if (embeddingDb && embeddingDb.db) { @@ -82,19 +141,37 @@ if (process.parentPort) { db.prepare('UPDATE indexing_log SET note_path = ? WHERE note_path = ?').run(newPath, oldPath); db.exec('COMMIT'); } catch (err) { - try { db.exec('ROLLBACK'); } catch { - // Ignore rollback errors if transaction wasn't active or DB locked - } - console.error('[Worker Process] Failed to rename note paths in DB:', err.message); + try { db.exec('ROLLBACK'); } catch {} + } + } + } else if (type === 'rebuildGraph') { + const { workspaceFiles } = payload; + if (graphDb) { + graphDb.clear(); + } + if (graphQueue) { + graphQueue.clear(); + for (const file of workspaceFiles) { + graphQueue.enqueue(file); } } + if (graphWorker) { + graphWorker.resume(); + graphWorker.triggerNext(); + } + } else if (type === 'pauseGraphWorker') { + if (graphWorker) graphWorker.pause(); + } else if (type === 'resumeGraphWorker') { + if (graphWorker) graphWorker.resume(); } else if (type === 'pause') { if (indexWorker) indexWorker.pause(); } else if (type === 'resume') { if (indexWorker) indexWorker.resume(); } else if (type === 'shutdown') { if (indexWorker) indexWorker.pause(); + if (graphWorker) graphWorker.pause(); if (embeddingDb) embeddingDb.close(); + if (graphDb) graphDb.close(); process.exit(0); } } catch (err) { diff --git a/electron/preload.cjs b/electron/preload.cjs index f3e51c65..4d4048cd 100644 --- a/electron/preload.cjs +++ b/electron/preload.cjs @@ -79,8 +79,10 @@ contextBridge.exposeInMainWorld("notesApi", { aiPauseWorker: () => ipcRenderer.invoke("ai:worker:pause"), aiResumeWorker: () => ipcRenderer.invoke("ai:worker:resume"), aiDownloadModel: () => ipcRenderer.invoke("ai:model:download"), + aiDeleteModel: () => ipcRenderer.invoke("ai:model:delete"), aiGetModelStatus: () => ipcRenderer.invoke("ai:model:status"), aiDownloadGraphModel: () => ipcRenderer.invoke("ai:graph-model:download"), + aiDeleteGraphModel: () => ipcRenderer.invoke("ai:graph-model:delete"), aiGetGraphModelStatus: () => ipcRenderer.invoke("ai:graph-model:status"), onModelDownloadProgress: (callback) => { if (typeof callback !== 'function') return () => {}; @@ -94,6 +96,14 @@ contextBridge.exposeInMainWorld("notesApi", { ipcRenderer.on('ai:graph-model:progress', listener); return () => ipcRenderer.removeListener('ai:graph-model:progress', listener); }, + aiPauseGraphWorker: () => ipcRenderer.invoke("ai:graph:pause"), + aiResumeGraphWorker: () => ipcRenderer.invoke("ai:graph:resume"), + onGraphProgress: (callback) => { + if (typeof callback !== 'function') return () => {}; + const listener = (_event, payload) => callback(payload); + ipcRenderer.on('ai:graph:progress', listener); + return () => ipcRenderer.removeListener('ai:graph:progress', listener); + }, aiBuildGraph: (payload) => ipcRenderer.invoke("ai:graph:build", payload), aiGetGraph: (payload) => ipcRenderer.invoke("ai:graph:get", payload), aiGetGraphStatus: (payload) => ipcRenderer.invoke("ai:graph:status", payload), diff --git a/package-lock.json b/package-lock.json index 500737b1..faebb088 100644 --- a/package-lock.json +++ b/package-lock.json @@ -7,6 +7,7 @@ "": { "name": "notely", "version": "0.1.27", + "hasInstallScript": true, "license": "CC-BY-NC-4.0", "dependencies": { "@ai-sdk/google": "^4.0.18", diff --git a/package.json b/package.json index f850895d..407b3dd9 100644 --- a/package.json +++ b/package.json @@ -146,12 +146,6 @@ "x64" ] }, - { - "target": "portable", - "arch": [ - "x64" - ] - }, { "target": "zip", "arch": [ diff --git a/scripts/patch-transformers.js b/scripts/patch-transformers.js index de3dca4e..38bee4b6 100644 --- a/scripts/patch-transformers.js +++ b/scripts/patch-transformers.js @@ -27,11 +27,17 @@ const replacement = ` const fsMod = await import("fs"); if (code.includes(targetLF)) { code = code.replace(targetLF, replacement); fs.writeFileSync(filePath, code, 'utf8'); - console.log('Successfully patched loadWasmFactory in transformers.node.mjs (LF)!'); -} else if (code.includes(targetCRLF)) { - code = code.replace(targetCRLF, replacement); - fs.writeFileSync(filePath, code, 'utf8'); - console.log('Successfully patched loadWasmFactory in transformers.node.mjs (CRLF)!'); } else { console.log('Target block not found. Already patched?'); } + +// Patch onnxruntime-node require in transformers.node.cjs +const cjsFilePath = path.resolve(__dirname, '../node_modules/@huggingface/transformers/dist/transformers.node.cjs'); +if (fs.existsSync(cjsFilePath)) { + let cjsCode = fs.readFileSync(cjsFilePath, 'utf8'); + if (cjsCode.includes('require("onnxruntime-node")')) { + cjsCode = cjsCode.replace('require("onnxruntime-node")', 'require("onnxruntime-web")'); + fs.writeFileSync(cjsFilePath, cjsCode, 'utf8'); + console.log('Successfully patched onnxruntime-node require in transformers.node.cjs!'); + } +} diff --git a/src/components/AISettings.jsx b/src/components/AISettings.jsx index 160177da..b1181ac8 100644 --- a/src/components/AISettings.jsx +++ b/src/components/AISettings.jsx @@ -16,9 +16,12 @@ import { aiTestConnection, aiGetProviderList, aiGetHealth, + aiGetModelStatus, + onModelDownloadProgress, aiGetGraphModelStatus, onGraphModelDownloadProgress, aiDownloadModel, + aiDeleteModel, aiEnable, aiDisable } from '../services/electronService'; @@ -66,7 +69,7 @@ export const AISettingsContent = ({ _onClose }) => { useEffect(() => { const loadModelStatus = async () => { try { - const res = await aiGetGraphModelStatus(); + const res = await aiGetModelStatus(); if (res.success && res.data) { setModelStatus(res.data); } @@ -76,7 +79,7 @@ export const AISettingsContent = ({ _onClose }) => { }; loadModelStatus(); - const unsubscribe = onGraphModelDownloadProgress((payload) => { + const unsubscribe = onModelDownloadProgress((payload) => { setModelStatus(prev => ({ ...prev, isDownloading: true, @@ -874,9 +877,35 @@ export const AISettingsContent = ({ _onClose }) => {

Local Model Status (BGE ONNX)

{modelStatus.downloaded ? ( -
- - bge-small-en-v1.5 model is downloaded and ready offline. +
+
+ + bge-small-en-v1.5 model is downloaded and ready offline. +
+
) : modelStatus.isDownloading ? (
diff --git a/src/components/AIStatusBar.jsx b/src/components/AIStatusBar.jsx index c7d01059..83f1b41a 100644 --- a/src/components/AIStatusBar.jsx +++ b/src/components/AIStatusBar.jsx @@ -20,8 +20,7 @@ export function AIStatusBar({ onClick }) { const health = await aiGetHealth(); if (health?.success && health.data) { const rawProv = health.data.activeProvider || "Unknown"; - // Map local model name correctly - const providerName = rawProv === 'local' ? 'Local (Qwen)' : (rawProv.charAt(0).toUpperCase() + rawProv.slice(1)); + const providerName = rawProv.charAt(0).toUpperCase() + rawProv.slice(1); setProvider(providerName); if (health.data.isIndexing) { setStatus("indexing"); diff --git a/src/components/KnowledgeGraph.jsx b/src/components/KnowledgeGraph.jsx index d372677b..ca4ce822 100644 --- a/src/components/KnowledgeGraph.jsx +++ b/src/components/KnowledgeGraph.jsx @@ -9,23 +9,35 @@ import { Position } from '@xyflow/react'; import '@xyflow/react/dist/style.css'; -import { Search, RefreshCw, Layers, ShieldAlert, Database } from 'lucide-react'; -import { aiGetGraph, aiBuildGraph, aiGetGraphStatus, aiGetLogs, aiClearGraphData, aiGetPreferences, aiGetGraphModelStatus } from '../services/electronService'; +import { Search, RefreshCw, Layers, ShieldAlert, Database, Pause, Play, Sliders } from 'lucide-react'; +import { + aiGetGraph, + aiBuildGraph, + aiGetGraphStatus, + aiGetLogs, + aiClearGraphData, + aiGetPreferences, + aiGetGraphModelStatus, + aiPauseGraphWorker, + aiResumeGraphWorker, + onGraphProgress +} from '../services/electronService'; +import { OverlayDialog } from './OverlayDialog'; import * as d3Force from 'd3-force'; import '../styles/KnowledgeGraph.css'; -// Custom Node component to bypass React Flow default padding, borders, and styles +// Custom Node component const CustomNode = ({ data }) => { return ( -
{data.label} @@ -38,8 +50,6 @@ const nodeTypes = { customNode: CustomNode, }; -// Curated node colors matching premium design system -// Light/Dark mode compatible high-contrast text and border colors using CSS variables const TYPE_COLORS = { Note: { background: 'var(--kg-note-bg)', border: 'var(--kg-note-border)', text: 'var(--kg-note-border)' }, Person: { background: 'var(--kg-person-bg)', border: 'var(--kg-person-border)', text: 'var(--kg-person-border)' }, @@ -73,18 +83,24 @@ export default function KnowledgeGraph({ onBack }) { }); const [loading, setLoading] = useState(false); const [error, setError] = useState(''); - const [graphStatus, setGraphStatus] = useState({ nodeCount: 0, edgeCount: 0, sizeBytes: 0 }); + const [graphStatus, setGraphStatus] = useState({ nodeCount: 0, edgeCount: 0, sizeBytes: 0, isBuilding: false, isPaused: false, current: 0, total: 0, progress: 0, noteName: '' }); const [selectedNode, setSelectedNode] = useState(null); const [graphLogs, setGraphLogs] = useState([]); const [preferences, setPreferences] = useState({ - graphProvider: 'text-provider', - aiProvider: 'gemini' + graphProvider: 'local' }); const [modelStatus, setModelStatus] = useState({ downloaded: false, isDownloading: false, progress: 0 }); + const [isRebuilding, setIsRebuilding] = useState(false); + const [showProgressModal, setShowProgressModal] = useState(false); + + // Force Layout State + const [chargeStrength, setChargeStrength] = useState(-280); + const [linkDistance, setLinkDistance] = useState(150); + const [collideRadius, setCollideRadius] = useState(80); const loadModelAndPrefs = useCallback(async () => { try { @@ -101,10 +117,6 @@ export default function KnowledgeGraph({ onBack }) { } }, []); - useEffect(() => { - loadModelAndPrefs(); - }, [loadModelAndPrefs]); - // Load Graph Data const loadGraphData = useCallback(async () => { try { @@ -120,13 +132,12 @@ export default function KnowledgeGraph({ onBack }) { } if (statusRes.success && statusRes.data) { - setGraphStatus(statusRes.data); + setGraphStatus(prev => ({ ...prev, ...statusRes.data })); } if (graphRes.success && graphRes.data) { const { entities, relationships } = graphRes.data; - // 1. Calculate degrees for centrality node sizing const degrees = {}; entities.forEach(e => { degrees[e.id] = 0; }); relationships.forEach(rel => { @@ -134,7 +145,6 @@ export default function KnowledgeGraph({ onBack }) { if (degrees[rel.target_id] !== undefined) degrees[rel.target_id]++; }); - // 2. Perform d3-force simulation layout const entityIds = new Set(entities.map(e => e.id)); const forceNodes = entities.map(entity => ({ id: entity.id, @@ -151,30 +161,22 @@ export default function KnowledgeGraph({ onBack }) { })); const simulation = d3Force.forceSimulation(forceNodes) - .force('link', d3Force.forceLink(forceLinks).id(d => d.id).distance(150)) - .force('charge', d3Force.forceManyBody().strength(-280)) + .force('link', d3Force.forceLink(forceLinks).id(d => d.id).distance(linkDistance)) + .force('charge', d3Force.forceManyBody().strength(chargeStrength)) .force('center', d3Force.forceCenter(350, 300)) - .force('collision', d3Force.forceCollide().radius(80)) + .force('collision', d3Force.forceCollide().radius(collideRadius)) .stop(); - // Run simulation synchronously to compute layout coordinate sets - for (let i = 0; i < 180; i++) simulation.tick(); + for (let i = 0; i < 40; i++) simulation.tick(); - // Sanity check coordinates to prevent NaN values from corrupting React Flow rendering forceNodes.forEach(node => { - if (isNaN(node.x) || typeof node.x !== 'number') { - node.x = Math.random() * 500; - } - if (isNaN(node.y) || typeof node.y !== 'number') { - node.y = Math.random() * 500; - } + if (isNaN(node.x) || typeof node.x !== 'number') node.x = Math.random() * 500; + if (isNaN(node.y) || typeof node.y !== 'number') node.y = Math.random() * 500; }); - // 3. Format nodes list const formattedNodes = forceNodes.map(node => { const entity = node.entity; const degree = degrees[entity.id] || 0; - // Scale size between 45px and 90px depending on connection weight (more compact) const nodeSize = Math.max(45, Math.min(90, 45 + degree * 6)); const typeColors = TYPE_COLORS[entity.type] || DEFAULT_COLOR; @@ -240,57 +242,79 @@ export default function KnowledgeGraph({ onBack }) { } finally { setLoading(false); } - }, [setNodes, setEdges]); + }, [setNodes, setEdges, chargeStrength, linkDistance, collideRadius]); useEffect(() => { + loadModelAndPrefs(); loadGraphData(); - }, [loadGraphData]); + }, [loadModelAndPrefs, loadGraphData]); + + useEffect(() => { + const unsubscribe = onGraphProgress((payload) => { + if (payload) { + setGraphStatus(prev => ({ ...prev, ...payload })); + if (!payload.isBuilding && isRebuilding) { + setIsRebuilding(false); + setShowProgressModal(false); + window.dispatchEvent(new CustomEvent('app:toast', { + detail: { message: 'Knowledge Graph successfully rebuilt.', type: 'success' } + })); + loadGraphData(); + } + } + }); + + return () => { + if (typeof unsubscribe === 'function') unsubscribe(); + }; + }, [isRebuilding, loadGraphData]); + + const handlePauseResume = async () => { + try { + if (graphStatus.isPaused) { + await aiResumeGraphWorker(); + setGraphStatus(prev => ({ ...prev, isPaused: false })); + } else { + await aiPauseGraphWorker(); + setGraphStatus(prev => ({ ...prev, isPaused: true })); + } + } catch (err) { + console.error(err); + } + }; - // Rebuild Graph Trigger const handleRebuild = async () => { try { - setLoading(true); setError(''); + setIsRebuilding(true); + setGraphStatus(prev => ({ ...prev, isBuilding: true, current: 0, noteName: 'Initializing ModernBERT worker...' })); const rebuildRes = await aiBuildGraph(); - if (rebuildRes.success) { - window.dispatchEvent(new CustomEvent('app:toast', { - detail: { message: 'Knowledge Graph rebuilt successfully.', type: 'success' } - })); - await loadGraphData(); - } else { + if (!rebuildRes.success) { setError(rebuildRes.error || 'Rebuild failed.'); + setIsRebuilding(false); + setGraphStatus(prev => ({ ...prev, isBuilding: false })); } } catch (err) { setError(err.message || 'Failed to rebuild Knowledge Graph.'); - } finally { - setLoading(false); + setIsRebuilding(false); + setGraphStatus(prev => ({ ...prev, isBuilding: false })); } }; - // Node Click Selector const onNodeClick = useCallback((event, node) => { setSelectedNode(node.data.raw); }, []); const [hoveredNodeId, setHoveredNodeId] = useState(null); - - const onNodeMouseEnter = useCallback((event, node) => { - setHoveredNodeId(node.id); - }, []); - - const onNodeMouseLeave = useCallback(() => { - setHoveredNodeId(null); - }, []); + const onNodeMouseEnter = useCallback((event, node) => setHoveredNodeId(node.id), []); + const onNodeMouseLeave = useCallback(() => setHoveredNodeId(null), []); const handleTypeToggle = (type) => { setSelectedTypes(prev => ({ ...prev, [type]: !prev[type] })); }; - // Filtered nodes & edges list computed on options changes const { filteredNodes, filteredEdges } = useMemo(() => { const q = searchQuery.toLowerCase().trim(); - - // Determine neighbor matches when hovering a node const activeNeighbors = new Set(); if (hoveredNodeId) { activeNeighbors.add(hoveredNodeId); @@ -306,21 +330,14 @@ export default function KnowledgeGraph({ onBack }) { const searchMatch = !q || raw.name.toLowerCase().includes(q) || raw.type.toLowerCase().includes(q) || raw.id.toLowerCase().includes(q); const isVisible = typeMatch && searchMatch; - // Dynamic opacity styling for hovered connection highlighting let opacity = 1; if (isVisible && hoveredNodeId) { - if (!activeNeighbors.has(node.id)) { - opacity = 0.2; - } + if (!activeNeighbors.has(node.id)) opacity = 0.2; } return { ...node, - style: { - ...node.style, - display: isVisible ? 'flex' : 'none', - opacity - } + style: { ...node.style, display: isVisible ? 'flex' : 'none', opacity } }; }); @@ -334,25 +351,15 @@ export default function KnowledgeGraph({ onBack }) { } return { ...edge, - style: { - ...edge.style, - display: isVisible ? 'block' : 'none', - opacity - }, - labelStyle: { - ...edge.labelStyle, - opacity - }, - labelBgStyle: { - ...edge.labelBgStyle, - opacity - } + style: { ...edge.style, display: isVisible ? 'block' : 'none', opacity }, + labelStyle: { ...edge.labelStyle, opacity }, + labelBgStyle: { ...edge.labelBgStyle, opacity } }; }); - return { - filteredNodes: visibleNodes.filter(n => n.style.display !== 'none'), - filteredEdges: visibleEdges.filter(e => e.style.display !== 'none') + return { + filteredNodes: visibleNodes.filter(n => n.style.display !== 'none'), + filteredEdges: visibleEdges.filter(e => e.style.display !== 'none') }; }, [nodes, edges, searchQuery, selectedTypes, hoveredNodeId]); @@ -360,7 +367,6 @@ export default function KnowledgeGraph({ onBack }) { return (
- {/* Breadcrumb — matches Git VC page pattern */}
+ {/* Header Bar with Live Top Progress Banner when Building */}
@@ -385,76 +392,101 @@ export default function KnowledgeGraph({ onBack }) { />
- {/* Unified Model & DB Status details pill in header */} -
-
- Provider: - {preferences.graphProvider === 'local' ? 'Local' : 'Cloud'} -
- -
- Model: - {preferences.graphProvider === 'local' ? 'Qwen2.5-0.5B' : preferences.aiProvider} + {/* Real-time Top Building Progress Indicator */} + {graphStatus.isBuilding ? ( +
setShowProgressModal(true)} + style={{ + display: 'flex', + alignItems: 'center', + gap: '10px', + background: 'var(--surface-muted)', + border: '1px solid var(--accent-solid)', + padding: '0 12px', + borderRadius: '6px', + fontSize: '11px', + color: 'var(--text-strong)', + marginLeft: 'auto', + height: '32px', + cursor: 'pointer', + boxSizing: 'border-box' + }} + title="Click to view detailed extraction log" + > + +
+ {graphStatus.noteName || 'Extracting graph...'} +
+
+
+
+ {graphStatus.progress || 0}%
- -
- DB Size: - {sizeMB} MB + ) : ( +
+
+ Engine: + {preferences.graphProvider === 'local' ? 'ModernBERT 2-Model' : 'Cloud LLM'} +
+ +
+ DB Size: + {sizeMB} MB +
+ + + + {preferences.graphProvider !== 'local' ? 'Active' : modelStatus.downloaded ? 'Ready' : 'Missing'} +
- - - - {preferences.graphProvider !== 'local' ? 'Active' : modelStatus.downloaded ? 'Ready' : 'Missing'} - -
+ )}
Nodes: {graphStatus.nodeCount} | Edges: {graphStatus.edgeCount}
+ +
-
{/* Sidebar Filters */} + {/* Main Body */} +
+ {/* Sidebar */}
- - {/* Entity Types Checklist (More Compact) */} + {/* Entity Types Checklist */}

Entity Types

-
- {Object.keys(selectedTypes).map((type) => { - const color = TYPE_COLORS[type] || DEFAULT_COLOR; - const displayName = type === 'Note' ? 'Notes' : - type === 'Person' ? 'People' : - type === 'Technology' ? 'Technologies' : - type === 'Company' ? 'Companies' : - type === 'Concept' ? 'Concepts' : - type === 'Task' ? 'Tasks' : `${type}s`; +
+ {Object.keys(TYPE_COLORS).map(type => { + const color = TYPE_COLORS[type]; + const count = nodes.filter(n => n.data.raw.type === type).length; return ( -
- {/* Extraction Logs Panel (Last 10) */} + {/* Extraction Logs Panel */}

Extraction Logs @@ -473,37 +505,29 @@ export default function KnowledgeGraph({ onBack }) { gap: '4px' }}> {graphLogs.length > 0 ? ( - graphLogs.slice(0, 10).map((log, i) => ( -
- [{new Date(log.timestamp).toLocaleTimeString()}] - {log.message} + graphLogs.slice(0, 10).map((logItem, i) => ( +
+ [{new Date(logItem.timestamp).toLocaleTimeString()}] + {logItem.message}
)) ) : ( No extraction logs yet. )}
-
- -

- {/* Sticky Actions Panel (Matching Embeddings) */} + {/* Actions Panel */}
- {/* Node Details Sidebar */} + {/* Selected Node Inspector */} {selectedNode && ( -
+

Entity Details

@@ -556,10 +580,9 @@ export default function KnowledgeGraph({ onBack }) { if (typeof appOpenNote === 'function') { await appOpenNote(selectedNode.note_path); } else { - // Fallback dispatch if exposed differently window.dispatchEvent(new CustomEvent('app:open-note', { detail: { path: selectedNode.note_path } })); } - if (onBack) onBack(); // Return to editor view + if (onBack) onBack(); } catch (err) { console.error('[KG] Failed to open note:', err); } @@ -575,7 +598,7 @@ export default function KnowledgeGraph({ onBack }) { )}
- {/* React Flow Graph Visualizer */} + {/* Full-Height Graph Canvas Viewport */}
{error && (
@@ -603,6 +626,48 @@ export default function KnowledgeGraph({ onBack }) {
+ + {/* Progress Modal */} + {showProgressModal && ( + setShowProgressModal(false)} + title="Rebuilding Knowledge Graph" + > +
+
+ {graphStatus.noteName || 'Extracting entities & relations...'} + {graphStatus.progress || 0}% +
+ +
+
+
+ +
+ Processed: {graphStatus.current} / {graphStatus.total} notes +
+ +
+
Recent Extraction Logs:
+ {graphLogs.slice(-6).map((logItem, idx) => ( +
+ [{new Date(logItem.timestamp).toLocaleTimeString()}] {logItem.message} +
+ ))} +
+ +
+ +
+
+ + )}
); } diff --git a/src/components/KnowledgeGraphSettings.jsx b/src/components/KnowledgeGraphSettings.jsx index c24f5095..a5571fd4 100644 --- a/src/components/KnowledgeGraphSettings.jsx +++ b/src/components/KnowledgeGraphSettings.jsx @@ -1,9 +1,10 @@ import React, { useEffect, useState } from 'react'; -import { Database, Download, AlertCircle, Save } from 'lucide-react'; +import { Database, Download, AlertCircle, Save, Trash2, Cpu } from 'lucide-react'; import AppSelect from './AppSelect'; import { aiGetGraphModelStatus, aiDownloadGraphModel, + aiDeleteGraphModel, onGraphModelDownloadProgress, aiGetPreferences, aiSetPreferences @@ -11,7 +12,7 @@ import { export default function KnowledgeGraphSettings() { const [loading, setLoading] = useState(false); - const [preferences, setPreferences] = useState({ graphProvider: 'text-provider' }); + const [preferences, setPreferences] = useState({ graphProvider: 'local', graphConfidence: 0.60 }); const [modelStatus, setModelStatus] = useState({ downloaded: false, isDownloading: false, progress: 0 }); useEffect(() => { @@ -52,15 +53,16 @@ export default function KnowledgeGraphSettings() { setLoading(true); await aiSetPreferences({ ...preferences, - graphProvider: preferences.graphProvider + graphProvider: preferences.graphProvider, + graphConfidence: preferences.graphConfidence }); window.dispatchEvent(new CustomEvent('app:toast', { - detail: { message: `Graph extraction provider set to ${preferences.graphProvider === 'local' ? 'Local Model' : 'Text Provider'} and saved.`, type: 'success' } + detail: { message: `Knowledge Graph preferences saved.`, type: 'success' } })); } catch (err) { console.error(err); window.dispatchEvent(new CustomEvent('app:toast', { - detail: { message: `Failed to save provider: ${err.message}`, type: 'error' } + detail: { message: `Failed to save preferences: ${err.message}`, type: 'error' } })); } finally { setLoading(false); @@ -84,6 +86,25 @@ export default function KnowledgeGraphSettings() { } }; + const handleDeleteModel = async () => { + if (!window.confirm('Delete local ModernBERT ONNX model weights (NER + RE) from disk? You can redownload anytime.')) return; + try { + setLoading(true); + await aiDeleteGraphModel(); + setModelStatus({ downloaded: false, isDownloading: false, progress: 0 }); + window.dispatchEvent(new CustomEvent('app:toast', { + detail: { message: 'Local ModernBERT NER & RE model weights deleted successfully.', type: 'info' } + })); + } catch (err) { + console.error(err); + window.dispatchEvent(new CustomEvent('app:toast', { + detail: { message: `Failed to delete model: ${err.message}`, type: 'error' } + })); + } finally { + setLoading(false); + } + }; + return (
@@ -91,18 +112,26 @@ export default function KnowledgeGraphSettings() {

Knowledge Graph Engine

-
- +
+
setPreferences(prev => ({ ...prev, graphProvider: e.target.value }))} + value={preferences.graphProvider || 'local'} + onChange={async (e) => { + const newProvider = e.target.value; + const updated = { ...preferences, graphProvider: newProvider }; + setPreferences(updated); + await aiSetPreferences(updated); + window.dispatchEvent(new CustomEvent('app:toast', { + detail: { message: `Graph extraction provider set to ${newProvider === 'local' ? 'ModernBERT Local ONNX 2-Model Pipeline' : 'Cloud Text Provider'}.`, type: 'success' } + })); + }} disabled={loading} style={{ flex: 1 }} > - - + +
- Active Graph Model - {preferences.graphProvider === 'local' ? 'Qwen2.5-0.5B-Instruct (ONNX)' : 'Configured Text Provider (Cloud)'} + Active Extraction Engine + {preferences.graphProvider === 'local' ? 'ModernBERT 2-Model (NER + RE) ONNX + Structural Parser' : 'Cloud LLM Text Provider'}
{preferences.graphProvider === 'local' && ( -
-

Local Model Status (Qwen ONNX)

+
+

+ Local 2-Model Status (ModernBERT NER + RE ONNX) +

{modelStatus.downloaded ? ( -
- - Qwen2.5-0.5B ONNX model is downloaded and ready offline. (Shared with local text provider) +
+
+ + ModernBERT NER & RE ONNX weights (~70MB) downloaded and ready offline. +
+
) : modelStatus.isDownloading ? ( -
-
- Downloading local weights (~350MB)... - {modelStatus.progress}% +
+
+ Downloading ModernBERT NER & RE ONNX weights (~70MB)... + {modelStatus.progress}%
-
-
+
+
) : (
- Qwen model is not downloaded. + ModernBERT 2-Model pipeline is not downloaded. (Downloads both ModernBERT NER & RE models for deep entity and relation extraction)
)} diff --git a/src/components/OnboardingFlow.jsx b/src/components/OnboardingFlow.jsx index 9b184623..e61e5789 100644 --- a/src/components/OnboardingFlow.jsx +++ b/src/components/OnboardingFlow.jsx @@ -453,13 +453,13 @@ export function OnboardingFlow({ {selectedAIProvider === "local" ? (
- Local Qwen Model Status + Local Knowledge Graph Engine (ModernBERT ONNX) {graphModelStatus.downloaded ? ( -
✓ Qwen2.5 model weights downloaded & ready!
+
✓ ModernBERT model weights downloaded & ready offline!
) : graphModelStatus.isDownloading ? (
- Downloading Qwen weights... + Downloading ModernBERT weights... {graphModelStatus.progress}%
@@ -468,7 +468,7 @@ export function OnboardingFlow({
) : (
- ~400 MB download required for offline mode. + ~70 MB download for offline graph extraction. + Download Model +
)}
- ⚠️ Hardware Warning: Running text models locally executes inference directly on your CPU. This requires a modern processor and at least 8GB-16GB RAM. Performance may cause temporary UI lag/freezes during generation. + 💡 Fast CPU Extraction: ModernBERT runs on CPU in a background worker process, consuming ~70MB-110MB RAM with ~22ms per sentence speed.
) : ( diff --git a/src/hooks/useAIAssistant.js b/src/hooks/useAIAssistant.js index 89d43b23..ddca3f9e 100644 --- a/src/hooks/useAIAssistant.js +++ b/src/hooks/useAIAssistant.js @@ -191,16 +191,10 @@ export function useAIAssistant({ async function handleAIGraph() { setAiLoading(true); - notify("Building relationship graph...", "info"); try { - const result = await aiBuildGraph(); - if (result?.success) { - notify("Relationship graph built successfully!", "success"); - } else { - notify(result?.error || "Failed to build graph", "error"); - } + await aiBuildGraph(); } catch (err) { - notify(err?.message || "Failed to build graph", "error"); + console.error('[AI] Graph build error:', err); } finally { setAiLoading(false); } diff --git a/src/services/electronService.js b/src/services/electronService.js index de2329a8..0bdf194d 100644 --- a/src/services/electronService.js +++ b/src/services/electronService.js @@ -254,12 +254,24 @@ export async function aiDownloadModel() { return api.aiDownloadModel(); } +export async function aiDeleteModel() { + const api = getNotesApi(); + if (typeof api.aiDeleteModel !== 'function') throw new Error('ONNX deletion is unavailable.'); + return api.aiDeleteModel(); +} + export async function aiDownloadGraphModel() { const api = getNotesApi(); if (typeof api.aiDownloadGraphModel !== 'function') throw new Error('Graph model downloader is unavailable.'); return api.aiDownloadGraphModel(); } +export async function aiDeleteGraphModel() { + const api = getNotesApi(); + if (typeof api.aiDeleteGraphModel !== 'function') throw new Error('Graph model deletion is unavailable.'); + return api.aiDeleteGraphModel(); +} + export async function aiGetModelStatus() { const api = getNotesApi(); if (typeof api.aiGetModelStatus !== 'function') throw new Error('ONNX downloader is unavailable.'); @@ -285,6 +297,24 @@ export function onGraphModelDownloadProgress(callback) { } +export function onGraphProgress(callback) { + const api = getNotesApi(); + if (typeof api.onGraphProgress !== 'function') return () => {}; + return api.onGraphProgress(callback); +} + +export async function aiPauseGraphWorker() { + const api = getNotesApi(); + if (typeof api.aiPauseGraphWorker !== "function") return { success: false }; + return api.aiPauseGraphWorker(); +} + +export async function aiResumeGraphWorker() { + const api = getNotesApi(); + if (typeof api.aiResumeGraphWorker !== "function") return { success: false }; + return api.aiResumeGraphWorker(); +} + export async function aiBuildGraph() { const api = getNotesApi(); if (typeof api.aiBuildGraph !== "function") { diff --git a/src/tests/utils/GraphQueue.test.js b/src/tests/utils/GraphQueue.test.js new file mode 100644 index 00000000..9c034bc7 --- /dev/null +++ b/src/tests/utils/GraphQueue.test.js @@ -0,0 +1,34 @@ +import { describe, it, expect } from 'vitest'; +const GraphQueue = require('../../../ai/queue/GraphQueue'); + +describe('GraphQueue Unit Tests', () => { + it('enqueues jobs correctly and prevents duplicates', () => { + const queue = new GraphQueue(); + const jobId1 = queue.enqueue('/path/to/note1.md'); + const jobId2 = queue.enqueue('/path/to/note1.md'); + + expect(jobId1).toBe(jobId2); + const stats = queue.getStats(); + expect(stats.pending).toBe(1); + }); + + it('dequeues pending jobs in priority order', () => { + const queue = new GraphQueue(); + queue.enqueue('/path/to/low.md', 1); + queue.enqueue('/path/to/high.md', 10); + + const firstJob = queue.dequeue(); + expect(firstJob.note_path).toContain('high.md'); + }); + + it('updates status and stats correctly', () => { + const queue = new GraphQueue(); + const id = queue.enqueue('/path/to/note.md'); + const job = queue.dequeue(); + queue.updateStatus(id, 'done'); + + const stats = queue.getStats(); + expect(stats.done).toBe(1); + expect(stats.pending).toBe(0); + }); +});