tftsr-devops_investigation/node_modules/chardet/lib/encoding/sbcs.d.ts

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feat: initial implementation of TFTSR IT Triage & RCA application 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>
2026-03-15 03:36:25 +00:00
import type { Context, Recogniser } from '.';
import { type EncodingName, type Match } from '../match';
declare class NGramsPlusLang {
fLang: string;
fNGrams: number[];
constructor(la: string, ng: number[]);
}
declare class sbcs implements Recogniser {
spaceChar: number;
private nGramLang?;
ngrams(): NGramsPlusLang[] | number[];
byteMap(): number[];
name(_input: Context): EncodingName;
language(): string | undefined;
match(det: Context): Match | null;
}
export declare class ISO_8859_1 extends sbcs {
byteMap(): number[];
ngrams(): NGramsPlusLang[];
name(input: Context): EncodingName;
}
export declare class ISO_8859_2 extends sbcs {
byteMap(): number[];
ngrams(): NGramsPlusLang[];
name(det: Context): EncodingName;
}
export declare class ISO_8859_5 extends sbcs {
byteMap(): number[];
ngrams(): number[];
name(): EncodingName;
language(): string;
}
export declare class ISO_8859_6 extends sbcs {
byteMap(): number[];
ngrams(): number[];
name(): EncodingName;
language(): string;
}
export declare class ISO_8859_7 extends sbcs {
byteMap(): number[];
ngrams(): number[];
name(det: Context): EncodingName;
language(): string;
}
export declare class ISO_8859_8 extends sbcs {
byteMap(): number[];
ngrams(): NGramsPlusLang[];
name(det: Context): EncodingName;
language(): string;
}
export declare class ISO_8859_9 extends sbcs {
byteMap(): number[];
ngrams(): number[];
name(det: Context): EncodingName;
language(): string;
}
export declare class windows_1251 extends sbcs {
byteMap(): number[];
ngrams(): number[];
name(): EncodingName;
language(): string;
}
export declare class windows_1256 extends sbcs {
byteMap(): number[];
ngrams(): number[];
name(): EncodingName;
language(): string;
}
export declare class KOI8_R extends sbcs {
byteMap(): number[];
ngrams(): number[];
name(): EncodingName;
language(): string;
}
export {};