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>
32 lines
879 B
JavaScript
32 lines
879 B
JavaScript
var baseIteratee = require('./_baseIteratee'),
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baseMean = require('./_baseMean');
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/**
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* This method is like `_.mean` except that it accepts `iteratee` which is
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* invoked for each element in `array` to generate the value to be averaged.
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* The iteratee is invoked with one argument: (value).
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*
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* @static
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* @memberOf _
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* @since 4.7.0
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* @category Math
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* @param {Array} array The array to iterate over.
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* @param {Function} [iteratee=_.identity] The iteratee invoked per element.
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* @returns {number} Returns the mean.
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* @example
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*
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* var objects = [{ 'n': 4 }, { 'n': 2 }, { 'n': 8 }, { 'n': 6 }];
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*
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* _.meanBy(objects, function(o) { return o.n; });
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* // => 5
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*
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* // The `_.property` iteratee shorthand.
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* _.meanBy(objects, 'n');
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* // => 5
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*/
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function meanBy(array, iteratee) {
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return baseMean(array, baseIteratee(iteratee, 2));
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}
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module.exports = meanBy;
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