Dieses Dokument testet, ob das <abbr title="Large Language Model – Großes Sprachmodell">LLM</abbr>, das die Dokumentation übersetzt, den <abbr title="General Prompt – Allgemeiner Prompt">`general_prompt`</abbr> in `scripts/translate.py` und den sprachspezifischen Prompt in `docs/{language code}/llm-prompt.md` versteht. Der sprachsspezifische Prompt wird an `general_prompt` angehängt.

                    scriptContent =
                        """
                        set -eu
                        "$defaultJavaBinary" .teamcity/scripts/FindCommits.java ${model.branch.branchName} | \
                        "$defaultJavaBinary" .teamcity/scripts/CheckWrapper.java
                        """.trimIndent()

                    conditions {

from pathlib import Path

import pytest
from typer.testing import CliRunner

from scripts.translation_fixer import cli

data_path = Path(
    "scripts/tests/test_translation_fixer/test_complex_doc/data"
).absolute()


@pytest.mark.parametrize(
    "copy_test_files",
    [(f"{data_path}/en_doc.md", f"{data_path}/translated_doc.md")],
    indirect=True,
)
def test_fix(runner: CliRunner, root_dir: Path, copy_test_files):

# LLM 测试文件 { #llm-test-file }

本文用于测试用于翻译文档的 <abbr title="Large Language Model - 大型语言模型">LLM</abbr> 是否理解 `scripts/translate.py` 中的 `general_prompt` 以及 `docs/{language code}/llm-prompt.md` 中的语言特定提示。语言特定提示会追加到 `general_prompt` 之后。

这里添加的测试会被所有语言特定提示的设计者看到。

用法如下：

* 准备语言特定提示——`docs/{language code}/llm-prompt.md`。
* 将本文重新翻译为你的目标语言（例如使用 `translate.py` 的 `translate-page` 命令）。这会在 `docs/{language code}/docs/_llm-test.md` 下创建翻译。
* 检查翻译是否正确。

from pathlib import Path

import pytest
from typer.testing import CliRunner

from scripts.translation_fixer import cli

data_path = Path(
    "scripts/tests/test_translation_fixer/test_code_blocks/data"
).absolute()


@pytest.mark.parametrize(
    "copy_test_files",
    [(f"{data_path}/en_doc.md", f"{data_path}/translated_doc_number_gt.md")],
    indirect=True,
)
def test_gt(runner: CliRunner, root_dir: Path, copy_test_files):

packaging.os.max.map.count=262144

# Simple marker to check that properties are correctly overridden
packaging.type=tar.gz

# Custom header for package scripts
packaging.scripts.header=

#

# Environment file
packaging.env.file=/etc/default/fess

# Simple marker to check that properties are correctly overridden
packaging.type=deb

# Custom header for package scripts
packaging.scripts.header=#!/bin/sh${line.separator}set -e

        run: uv sync --locked --no-dev --group docs
      - name: Update Languages
        run: uv run ./scripts/docs.py update-languages
      - uses: actions/cache@v5
        with:
          key: mkdocs-cards-${{ matrix.lang }}-${{ github.ref }}
          path: docs/${{ matrix.lang }}/.cache
      - name: Build Docs
        run: uv run ./scripts/docs.py build-lang ${{ matrix.lang }}
      - uses: actions/upload-artifact@v7
        with:

      - name: Export Language Codes
        id: show-langs
        run: |
          echo "langs=$(uv run ./scripts/translate.py llm-translatable-json)" >> $GITHUB_OUTPUT
          echo "commands=$(uv run ./scripts/translate.py commands-json)" >> $GITHUB_OUTPUT
        env:
          LANGUAGE: ${{ github.event.inputs.language }}
          COMMAND: ${{ github.event.inputs.command }}

# LLM test dosyası { #llm-test-file }

Bu doküman, dokümantasyonu çeviren <abbr title="Large Language Model">LLM</abbr>'nin `scripts/translate.py` içindeki `general_prompt`'u ve `docs/{language code}/llm-prompt.md` içindeki dile özel prompt'u anlayıp anlamadığını test eder. Dile özel prompt, `general_prompt`'a eklenir.

Buraya eklenen testler, dile özel prompt'ları tasarlayan herkes tarafından görülecektir.

Şu şekilde kullanın: