tftsr-devops_investigation/node_modules/cheerio/dist/browser/cheerio.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 * as Attributes from './api/attributes.js';
import * as Traversing from './api/traversing.js';
import * as Manipulation from './api/manipulation.js';
import * as Css from './api/css.js';
import * as Forms from './api/forms.js';
import * as Extract from './api/extract.js';
/**
* The cheerio class is the central class of the library. It wraps a set of
* elements and provides an API for traversing, modifying, and interacting with
* the set.
*
* Loading a document will return the Cheerio class bound to the root element of
* the document. The class will be instantiated when querying the document (when
* calling `$('selector')`).
*
* @example This is the HTML markup we will be using in all of the API examples:
*
* ```html
* <ul id="fruits">
* <li class="apple">Apple</li>
* <li class="orange">Orange</li>
* <li class="pear">Pear</li>
* </ul>
* ```
*/
export class Cheerio {
/**
* Instance of cheerio. Methods are specified in the modules. Usage of this
* constructor is not recommended. Please use `$.load` instead.
*
* @private
* @param elements - The new selection.
* @param root - Sets the root node.
* @param options - Options for the instance.
*/
constructor(elements, root, options) {
this.length = 0;
this.options = options;
this._root = root;
if (elements) {
for (let idx = 0; idx < elements.length; idx++) {
this[idx] = elements[idx];
}
this.length = elements.length;
}
}
}
/** Set a signature of the object. */
Cheerio.prototype.cheerio = '[cheerio object]';
/*
* Make cheerio an array-like object
*/
Cheerio.prototype.splice = Array.prototype.splice;
// Support for (const element of $(...)) iteration:
Cheerio.prototype[Symbol.iterator] = Array.prototype[Symbol.iterator];
// Plug in the API
Object.assign(Cheerio.prototype, Attributes, Traversing, Manipulation, Css, Forms, Extract);
//# sourceMappingURL=cheerio.js.map