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CLIパーサーの新しい記事を書きました。`--reporter`の値によって`--output-file`が必須になったり禁止になったり…そういう関係、型で表現できたら楽じゃないですか?

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    We're excited to announce Optique 0.8.0! This release introduces powerful new features for building sophisticated CLI applications: the conditional() combinator for discriminated union patterns, the passThrough() parser for wrapper tools, and the new @optique/logtape package for seamless logging configuration. Optique is a type-safe combinatorial CLI parser for TypeScript, providing a functional approach to building command-line interfaces with composable parsers and full type inference. New conditional parsing with conditional() Ever needed to enable different sets of options based on a discriminator value? The new conditional() combinator makes this pattern first-class. It creates discriminated unions where certain options only become valid when a specific discriminator value is selected. import { conditional, object } from "@optique/core/constructs"; import { option } from "@optique/core/primitives"; import { choice, string } from "@optique/core/valueparser"; const parser = conditional( option("--reporter", choice(["console", "junit", "html"])), { console: object({}), junit: object({ outputFile: option("--output-file", string()) }), html: object({ outputFile: option("--output-file", string()) }), } ); // Result type: ["console", {}] | ["junit", { outputFile: string }] | ... Key features: Explicit discriminator option determines which branch is selected Tuple result [discriminator, branchValue] for clear type narrowing Optional default branch for when discriminator is not provided Clear error messages indicating which options are required for each discriminator value The conditional() parser provides a more structured alternative to or() for discriminated union patterns. Use it when you have an explicit discriminator option that determines which set of options is valid. See the conditional() documentation for more details and examples. Pass-through options with passThrough() Building wrapper CLI tools that need to forward unrecognized options to an underlying tool? The new passThrough() parser enables legitimate wrapper/proxy patterns by capturing unknown options without validation errors. import { object } from "@optique/core/constructs"; import { option, passThrough } from "@optique/core/primitives"; const parser = object({ debug: option("--debug"), extra: passThrough(), }); // mycli --debug --foo=bar --baz=qux // → { debug: true, extra: ["--foo=bar", "--baz=qux"] } Key features: Three capture formats: "equalsOnly" (default, safest), "nextToken" (captures --opt val pairs), and "greedy" (captures all remaining tokens) Lowest priority (−10) ensures explicit parsers always match first Respects -- options terminator in "equalsOnly" and "nextToken" modes Works seamlessly with object(), subcommands, and other combinators This feature is designed for building Docker-like CLIs, build tool wrappers, or any tool that proxies commands to another process. See the passThrough() documentation for usage patterns and best practices. LogTape logging integration The new @optique/logtape package provides seamless integration with LogTape, enabling you to configure logging through command-line arguments with various parsing strategies. # Deno deno add --jsr @optique/logtape @logtape/logtape # npm npm add @optique/logtape @logtape/logtape Quick start with the loggingOptions() preset: import { loggingOptions, createLoggingConfig } from "@optique/logtape"; import { object } from "@optique/core/constructs"; import { parse } from "@optique/core/parser"; import { configure } from "@logtape/logtape"; const parser = object({ logging: loggingOptions({ level: "verbosity" }), }); const args = ["-vv", "--log-output=-"]; const result = parse(parser, args); if (result.success) { const config = await createLoggingConfig(result.value.logging); await configure(config); } The package offers multiple approaches to control log verbosity: verbosity() parser: The classic -v/-vv/-vvv pattern where each flag increases verbosity (no flags → "warning", -v → "info", -vv → "debug", -vvv → "trace") debug() parser: Simple --debug/-d flag that toggles between normal and debug levels logLevel() value parser: Explicit --log-level=debug option for direct level selection logOutput() parser: Log output destination with - for console or file path for file output See the LogTape integration documentation for complete examples and configuration options. Bug fix: negative integers now accepted Fixed an issue where the integer() value parser rejected negative integers when using type: "number". The regex pattern has been updated from /^\d+$/ to /^-?\d+$/ to correctly handle values like -42. Note that type: "bigint" already accepted negative integers, so this change brings consistency between the two types. Installation # Deno deno add jsr:@optique/core # npm npm add @optique/core # pnpm pnpm add @optique/core # Yarn yarn add @optique/core # Bun bun add @optique/core For the LogTape integration: # Deno deno add --jsr @optique/logtape @logtape/logtape # npm npm add @optique/logtape @logtape/logtape # pnpm pnpm add @optique/logtape @logtape/logtape # Yarn yarn add @optique/logtape @logtape/logtape # Bun bun add @optique/logtape @logtape/logtape Looking forward Optique 0.8.0 continues our focus on making CLI development more expressive and type-safe. The conditional() combinator brings discriminated union patterns to the forefront, passThrough() enables new wrapper tool use cases, and the LogTape integration makes logging configuration a breeze. As always, all new features maintain full backward compatibility—your existing parsers continue to work unchanged. We're grateful to the community for feedback and suggestions. If you have ideas for future improvements or encounter any issues, please let us know through GitHub Issues. For more information about Optique and its features, visit the documentation or check out the full changelog.
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    BotKitは、ActivityPubボットを作るためのTypeScriptフレームワークです。既存のMastodon/Misskeyボットとの違いは、ボット自体が独立したサーバーとして動作すること。プラットフォームのアカウントは不要です。 文字数制限もなければ、APIレート制限に悩まされることもありません。 bot.onMention = async (session, message) => { await message.reply(text`こんにちは、${message.actor}さん!`); }; フェデレーション、HTTP Signatures、配送キューといったActivityPub周りの処理はFedifyがすべて引き受けます。ボットのロジックを書くだけです。 DenoでもNode.jsでも動きます。 https://botkit.fedify.dev/ #BotKit #Fedify #ActivityPub #TypeScript #Deno #NodeJS
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    Optique 0.6.0 is here, bringing intelligent shell completion to your type-safe command-line applications. This release introduces built-in completion support for Bash, zsh, fish, PowerShell, and Nushell, making your CLIs more discoverable and user-friendly—all without sacrificing type safety or requiring duplicate definitions. For those new to [Optique]: it's a TypeScript CLI parser library that takes a fundamentally different approach from traditional configuration-based parsers. Instead of describing your CLI with configuration objects, you compose parsers from small, type-safe functions. TypeScript automatically infers the exact types of your parsed data, ensuring compile-time safety while the parser structure itself provides runtime validation. Think of it as bringing the composability of parser combinators (inspired by Haskell's optparse-applicative) together with the type safety of TypeScript's type system. Shell completion that just works The standout feature of this release is comprehensive shell completion support. Unlike many CLI frameworks that require separate completion definitions, Optique's completion system leverages the same parser structure used for argument parsing. This means your completion suggestions automatically stay synchronized with your CLI's actual behavior—no duplicate definitions, no manual maintenance. import { object } from "@optique/core/constructs"; import { argument, option } from "@optique/core/primitives"; import { string, choice } from "@optique/core/valueparser"; import { run } from "@optique/run"; const parser = object({ format: option("-f", "--format", choice(["json", "yaml", "xml"])), output: option("-o", "--output", string({ metavar: "FILE" })), verbose: option("-v", "--verbose"), input: argument(string({ metavar: "INPUT" })), }); // Enable completion with a single option const config = run(parser, { completion: "both" }); Users can now press Tab to get intelligent suggestions: myapp <TAB> # Shows available commands and options myapp --format <TAB> # Shows: json, yaml, xml myapp --format=<TAB> # Same suggestions with equals syntax myapp -<TAB> # Shows: -f, -o, -v, and other short options Setting up completion is straightforward. Users generate a completion script for their shell and source it: # Bash myapp completion bash > ~/.bashrc.d/myapp.bash source ~/.bashrc.d/myapp.bash # zsh myapp completion zsh > ~/.zsh/completions/_myapp # fish myapp completion fish > ~/.config/fish/completions/myapp.fish # PowerShell myapp completion pwsh > myapp-completion.ps1 . ./myapp-completion.ps1 # Nushell myapp completion nu | save myapp-completion.nu source myapp-completion.nu The completion system works automatically with all Optique parser types. When you use choice() value parsers, the available options become completion suggestions. When you use path() parsers, file system completion kicks in with proper handling of extensions and file types. Subcommands, options, and arguments all provide context-aware suggestions. What makes Optique's completion special is that it leverages the same parser structure used for argument parsing. Every parser has an optional suggest() method that provides context-aware suggestions based on the current input. Parser combinators like object() and or() automatically aggregate suggestions from their constituent parsers, ensuring your completion logic stays in your TypeScript code where it benefits from type safety and testing. Optique handles the differences between shells transparently. Bash uses the complete command with proper handling of word splitting, zsh leverages its powerful compdef system with completion descriptions, fish provides tab-separated format with automatic file type detection, PowerShell uses Register-ArgumentCompleter with AST-based parsing, and Nushell integrates with its external completer system. For file and directory completions, Optique delegates to each shell's native file completion system, ensuring proper handling of spaces, symlinks, and platform-specific path conventions. Custom completion suggestions For domain-specific value parsers, you can implement custom completion logic that provides intelligent suggestions based on your application's needs: import type { ValueParser, ValueParserResult } from "@optique/core/valueparser"; import type { Suggestion } from "@optique/core/parser"; import { message } from "@optique/core/message"; function httpMethod(): ValueParser<string> { const methods = ["GET", "POST", "PUT", "DELETE", "PATCH", "HEAD", "OPTIONS"]; return { metavar: "METHOD", parse(input: string): ValueParserResult<string> { const method = input.toUpperCase(); if (methods.includes(method)) { return { success: true, value: method }; } return { success: false, error: message`Invalid HTTP method: ${input}. Valid methods: ${methods.join(", ")}.`, }; }, format(value: string): string { return value; }, *suggest(prefix: string): Iterable<Suggestion> { for (const method of methods) { if (method.toLowerCase().startsWith(prefix.toLowerCase())) { yield { kind: "literal", text: method, description: message`HTTP ${method} request method` }; } } }, }; } The built-in value parsers also provide intelligent suggestions. For instance, the locale() parser suggests common locale identifiers, the url() parser offers protocol completions when configured with allowedProtocols, and the timezone parsers from @optique/temporal use Intl.supportedValuesOf() for dynamic timezone suggestions. Enhanced command documentation This release also introduces new documentation capabilities for the command() parser. You can now provide separate brief and description texts, along with a footer for examples and additional information: import { command, object, constant } from "@optique/core/primitives"; import { message } from "@optique/core/message"; const deployCommand = command( "deploy", object({ action: constant("deploy"), // ... options }), { brief: message`Deploy application to production`, // Shown in command list description: message`Deploy the application to the production environment. This command handles database migrations, asset compilation, and cache warming automatically. It performs health checks before switching traffic to ensure zero-downtime deployment.`, // Shown in detailed help footer: message`Examples: myapp deploy --environment staging --dry-run myapp deploy --environment production --force For deployment documentation, see: https://docs.example.com/deploy` } ); The brief text appears when listing commands (like myapp help), while description provides detailed information when viewing command-specific help (myapp deploy --help or myapp help deploy). The footer appears at the bottom of the help text, perfect for examples and additional resources. Command-line example formatting To make help text and examples clearer, we've added a new commandLine() message term type. This displays command-line snippets with distinct cyan coloring in terminals, making it immediately clear what users should type: import { message, commandLine } from "@optique/core/message"; import { run } from "@optique/run"; const config = run(parser, { footer: message`Examples: ${commandLine("myapp --format json input.txt")} ${commandLine("myapp --format=yaml --output result.yml data.txt")} To enable shell completion: ${commandLine("myapp completion bash > ~/.bashrc.d/myapp.bash")} ${commandLine("source ~/.bashrc.d/myapp.bash")}`, completion: "both" }); These command examples stand out visually in help text, making it easier for users to understand how to use your CLI. Migration guide If you're already using Optique, adding completion support is straightforward: Update to Optique 0.6.0 Add the completion option to your run() configuration: // Before const config = run(parser, { help: "both" }); // After const config = run(parser, { help: "both", completion: "both" // Adds both 'completion' command and '--completion' option }); That's it! Your CLI now supports shell completion. The completion option accepts three modes: "command": Only the completion subcommand (e.g., myapp completion bash) "option": Only the --completion option (e.g., myapp --completion bash) "both": Both patterns work For custom value parsers, you can optionally add a suggest() method to provide domain-specific completions. Existing parsers continue to work without modification—they just won't provide custom suggestions beyond what the parser structure implies. Looking forward Shell completion has been one of the most requested features for Optique, and we're thrilled to deliver it in a way that maintains our core principles: type safety, composability, and zero duplication. Your parser definitions remain the single source of truth for both parsing and completion behavior. This release represents a significant step toward making Optique-based CLIs as user-friendly as they are developer-friendly. The completion system proves that we can provide sophisticated runtime features without sacrificing the compile-time guarantees that make Optique unique. We hope you find the new shell completion feature useful and look forward to seeing what you build with it! Getting started To start using Optique 0.6.0: deno add --jsr @optique/core@^0.6.0 @optique/run@^0.6.0 npm add @optique/core@^0.6.0 @optique/run@^0.6.0 pnpm add @optique/core@^0.6.0 @optique/run@^0.6.0 yarn add @optique/core@^0.6.0 @optique/run@^0.6.0 bun add @optique/core@^0.6.0 @optique/run@^0.6.0 For complete documentation, visit optique.dev. Check out the new shell completion guide for detailed setup instructions and advanced usage patterns. For bug reports and feature requests, please visit our GitHub repository.
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    :botkit: Introducing #BotKit: A #TypeScript framework for creating truly standalone #ActivityPub bots! Unlike traditional Mastodon bots, BotKit lets you build fully independent #fediverse bots that aren't constrained by platform limits. Create your entire bot in a single TypeScript file using our simple, expressive API. Currently #Deno-only, with Node.js & Bun support planned. Built on the robust @fedify@hollo.social foundation. https://botkit.fedify.dev/