Implements Phases 1-8 of the TFTSR implementation plan. Rust backend (Tauri 2.x, src-tauri/): - Multi-provider AI: OpenAI-compatible, Anthropic, Gemini, Mistral, Ollama - PII detection engine: 11 regex patterns with overlap resolution - SQLCipher AES-256 encrypted database with 10 versioned migrations - 28 Tauri IPC commands for triage, analysis, document, and system ops - Ollama: hardware probe, model recommendations, pull/delete with events - RCA and blameless post-mortem Markdown document generators - PDF export via printpdf - Audit log: SHA-256 hash of every external data send - Integration stubs for Confluence, ServiceNow, Azure DevOps (v0.2) Frontend (React 18 + TypeScript + Vite, src/): - 9 pages: full triage workflow NewIssue→LogUpload→Triage→Resolution→RCA→Postmortem→History+Settings - 7 components: ChatWindow, TriageProgress, PiiDiffViewer, DocEditor, HardwareReport, ModelSelector, UI primitives - 3 Zustand stores: session, settings (persisted), history - Type-safe tauriCommands.ts matching Rust backend types exactly - 8 IT domain system prompts (Linux, Windows, Network, K8s, DB, Virt, HW, Obs) DevOps: - .woodpecker/test.yml: rustfmt, clippy, cargo test, tsc, vitest on every push - .woodpecker/release.yml: linux/amd64 + linux/arm64 builds, Gogs release upload Verified: - cargo check: zero errors - tsc --noEmit: zero errors - vitest run: 13/13 unit tests passing Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
25 lines
839 B
TypeScript
25 lines
839 B
TypeScript
// Type definitions for grapheme-splitter
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/*~ Note that ES6 modules cannot directly export class objects.
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*~ This file should be imported using the CommonJS-style:
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*~
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*~ import GraphemeSplitter = require('grapheme-splitter')
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*~
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*~ Refer to the documentation to understand common
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*~ workarounds for this limitation of ES6 modules.
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*~
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*~ https://www.typescriptlang.org/docs/handbook/declaration-files/introduction.html
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*/
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declare class GraphemeSplitter {
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constructor();
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/** iterate the string to an iterable iterator of grapheme clusters */
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iterateGraphemes(s: string): IterableIterator<string>;
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/** split the string to an array of grapheme clusters */
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splitGraphemes(s: string): string[];
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/** count the number of grapheme clusters in a string */
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countGraphemes(s: string): number;
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}
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export = GraphemeSplitter;
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