8839075805
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>
80 lines
2.0 KiB
JavaScript
80 lines
2.0 KiB
JavaScript
'use strict';
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var parseCst = require('./parse-cst.js');
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var Document$1 = require('./Document-9b4560a1.js');
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var Schema = require('./Schema-88e323a7.js');
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var PlainValue = require('./PlainValue-ec8e588e.js');
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var warnings = require('./warnings-1000a372.js');
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require('./resolveSeq-d03cb037.js');
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function createNode(value, wrapScalars = true, tag) {
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if (tag === undefined && typeof wrapScalars === 'string') {
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tag = wrapScalars;
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wrapScalars = true;
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}
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const options = Object.assign({}, Document$1.Document.defaults[Document$1.defaultOptions.version], Document$1.defaultOptions);
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const schema = new Schema.Schema(options);
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return schema.createNode(value, wrapScalars, tag);
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}
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class Document extends Document$1.Document {
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constructor(options) {
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super(Object.assign({}, Document$1.defaultOptions, options));
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}
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}
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function parseAllDocuments(src, options) {
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const stream = [];
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let prev;
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for (const cstDoc of parseCst.parse(src)) {
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const doc = new Document(options);
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doc.parse(cstDoc, prev);
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stream.push(doc);
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prev = doc;
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}
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return stream;
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}
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function parseDocument(src, options) {
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const cst = parseCst.parse(src);
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const doc = new Document(options).parse(cst[0]);
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if (cst.length > 1) {
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const errMsg = 'Source contains multiple documents; please use YAML.parseAllDocuments()';
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doc.errors.unshift(new PlainValue.YAMLSemanticError(cst[1], errMsg));
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}
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return doc;
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}
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function parse(src, options) {
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const doc = parseDocument(src, options);
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doc.warnings.forEach(warning => warnings.warn(warning));
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if (doc.errors.length > 0) throw doc.errors[0];
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return doc.toJSON();
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}
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function stringify(value, options) {
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const doc = new Document(options);
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doc.contents = value;
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return String(doc);
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}
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const YAML = {
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createNode,
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defaultOptions: Document$1.defaultOptions,
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Document,
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parse,
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parseAllDocuments,
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parseCST: parseCst.parse,
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parseDocument,
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scalarOptions: Document$1.scalarOptions,
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stringify
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};
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exports.YAML = YAML;
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