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>
96 lines
4.8 KiB
Markdown
96 lines
4.8 KiB
Markdown
# `@inquirer/number`
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Interactive free number input component for command line interfaces. Supports validation, filtering, transformation, etc.
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# Installation
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<table>
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<tr>
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<th>npm</th>
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<th>yarn</th>
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</tr>
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<tr>
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<td>
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```sh
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npm install @inquirer/prompts
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```
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</td>
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<td>
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```sh
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yarn add @inquirer/prompts
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```
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</td>
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</tr>
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<tr>
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<td colSpan="2" align="center">Or</td>
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</tr>
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<tr>
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<td>
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```sh
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npm install @inquirer/number
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```
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</td>
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<td>
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```sh
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yarn add @inquirer/number
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```
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</td>
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</tr>
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</table>
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# Usage
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```js
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import { number } from '@inquirer/prompts';
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// Or
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// import number from '@inquirer/number';
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const answer = await number({ message: 'Enter your age' });
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```
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## Options
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| Property | Type | Required | Description |
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| -------- | -------------------------------------------------------------------------- | -------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| message | `string` | yes | The question to ask |
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| default | `number` | no | Default value if no answer is provided (clear it by pressing backspace) |
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| min | `number` | no | The minimum value to accept for this input. |
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| max | `number` | no | The maximum value to accept for this input. |
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| step | `number \| 'any'` | no | The step option is a number that specifies the granularity that the value must adhere to. Only values which are equal to the basis for stepping (min if specified) are valid. This value defaults to 1, meaning by default the prompt will only allow integers. |
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| required | `boolean` | no | Defaults to `false`. If set to true, `undefined` (empty) will not be accepted for this. |
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| validate | `(number \| undefined) => boolean \| string \| Promise<boolean \| string>` | no | On submit, validate the filtered answered content. When returning a string, it'll be used as the error message displayed to the user. Note: returning a rejected promise, we'll assume a code error happened and crash. |
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| theme | [See Theming](#Theming) | no | Customize look of the prompt. |
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## Theming
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You can theme a prompt by passing a `theme` object option. The theme object only need to includes the keys you wish to modify, we'll fallback on the defaults for the rest.
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```ts
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type Theme = {
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prefix: string | { idle: string; done: string };
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spinner: {
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interval: number;
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frames: string[];
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};
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style: {
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answer: (text: string) => string;
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message: (text: string, status: 'idle' | 'done' | 'loading') => string;
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error: (text: string) => string;
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defaultAnswer: (text: string) => string;
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};
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};
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```
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# License
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Copyright (c) 2023 Simon Boudrias (twitter: [@vaxilart](https://twitter.com/Vaxilart))<br/>
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Licensed under the MIT license.
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