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>
57 lines
1.9 KiB
JavaScript
57 lines
1.9 KiB
JavaScript
'use strict';
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Object.defineProperty(exports, "__esModule", {
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value: true
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});
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var _applyEach = require('./internal/applyEach.js');
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var _applyEach2 = _interopRequireDefault(_applyEach);
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var _map = require('./map.js');
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var _map2 = _interopRequireDefault(_map);
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function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; }
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/**
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* Applies the provided arguments to each function in the array, calling
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* `callback` after all functions have completed. If you only provide the first
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* argument, `fns`, then it will return a function which lets you pass in the
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* arguments as if it were a single function call. If more arguments are
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* provided, `callback` is required while `args` is still optional. The results
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* for each of the applied async functions are passed to the final callback
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* as an array.
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*
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* @name applyEach
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* @static
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* @memberOf module:ControlFlow
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* @method
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* @category Control Flow
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* @param {Array|Iterable|AsyncIterable|Object} fns - A collection of {@link AsyncFunction}s
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* to all call with the same arguments
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* @param {...*} [args] - any number of separate arguments to pass to the
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* function.
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* @param {Function} [callback] - the final argument should be the callback,
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* called when all functions have completed processing.
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* @returns {AsyncFunction} - Returns a function that takes no args other than
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* an optional callback, that is the result of applying the `args` to each
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* of the functions.
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* @example
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*
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* const appliedFn = async.applyEach([enableSearch, updateSchema], 'bucket')
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*
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* appliedFn((err, results) => {
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* // results[0] is the results for `enableSearch`
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* // results[1] is the results for `updateSchema`
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* });
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*
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* // partial application example:
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* async.each(
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* buckets,
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* async (bucket) => async.applyEach([enableSearch, updateSchema], bucket)(),
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* callback
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* );
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*/
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exports.default = (0, _applyEach2.default)(_map2.default);
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module.exports = exports.default; |