tftsr-devops_investigation/node_modules/get-stream/source/string.js

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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 {getStreamContents} from './contents.js';
import {
identity,
getContentsProperty,
throwObjectStream,
getLengthProperty,
} from './utils.js';
export async function getStreamAsString(stream, options) {
return getStreamContents(stream, stringMethods, options);
}
const initString = () => ({contents: '', textDecoder: new TextDecoder()});
const useTextDecoder = (chunk, {textDecoder}) => textDecoder.decode(chunk, {stream: true});
const addStringChunk = (convertedChunk, {contents}) => contents + convertedChunk;
const truncateStringChunk = (convertedChunk, chunkSize) => convertedChunk.slice(0, chunkSize);
const getFinalStringChunk = ({textDecoder}) => {
const finalChunk = textDecoder.decode();
return finalChunk === '' ? undefined : finalChunk;
};
const stringMethods = {
init: initString,
convertChunk: {
string: identity,
buffer: useTextDecoder,
arrayBuffer: useTextDecoder,
dataView: useTextDecoder,
typedArray: useTextDecoder,
others: throwObjectStream,
},
getSize: getLengthProperty,
truncateChunk: truncateStringChunk,
addChunk: addStringChunk,
getFinalChunk: getFinalStringChunk,
finalize: getContentsProperty,
};