# LLM test file { #llm-test-file }

This document tests if the <abbr title="Large Language Model">LLM</abbr>, which translates the documentation, understands the `general_prompt` in `scripts/translate.py` and the language specific prompt in `docs/{language code}/llm-prompt.md`. The language specific prompt is appended to `general_prompt`.

Tests added here will be seen by all designers of language specific prompts.

Use as follows:

      - name: Update Languages
        run: python ./scripts/docs.py update-languages
      - uses: actions/cache@v4
        with:
          key: mkdocs-cards-${{ matrix.lang }}-${{ github.ref }}
          path: docs/${{ matrix.lang }}/.cache
      - name: Build Docs
        run: python ./scripts/docs.py build-lang ${{ matrix.lang }}
      - uses: actions/upload-artifact@v5
        with:

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

# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#

# Common functions for EC2 build scripts

# This scripts detects builds running on EC2 by accessing the special ip 169.254.169.254 exposed by AWS instances.
# https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ec2-instance-metadata.html
exit_if_not_on_ec2_instance() {

      - name: Deploy Docs Status Error
        if: failure()
        run: python ./scripts/deploy_docs_status.py
        env:
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
          COMMIT_SHA: ${{ github.event.workflow_run.head_sha }}
          RUN_ID: ${{ github.run_id }}
          STATE: "error"
      - name: Comment Deploy
        run: python ./scripts/deploy_docs_status.py
        env:
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

#!/usr/bin/env bash
set -x

ruff check fastapi tests docs_src scripts --fix

import java.nio.file.Path;
import java.nio.file.Paths;
import java.util.ArrayList;
import java.util.List;

/**
 * Parses .mvn/jvm.config file for Windows batch/Unix shell scripts.
 * This avoids the complexity of parsing special characters (pipes, quotes, etc.) in scripts.
 *
 * Usage: java JvmConfigParser.java <jvm.config-path> <maven-project-basedir> [output-file]
 *

                delete { delete(transformDir) }
            }
    }
}


private
val scriptCacheDirNames =
    // TODO Remove gradle-kotlin-dsl* after a while
    listOf("scripts", "scripts-remapped", "gradle-kotlin-dsl", "gradle-kotlin-dsl-accessors", "kotlin-dsl")


private
fun scriptsCacheDirsUnder(cacheDir: File) =
    scriptCacheDirNames
        .map { File(cacheDir, it) }

# Archivo de prueba de LLM { #llm-test-file }

Este documento prueba si el <abbr title="Large Language Model – Modelo de lenguaje grande">LLM</abbr>, que traduce la documentación, entiende el `general_prompt` en `scripts/translate.py` y el prompt específico del idioma en `docs/{language code}/llm-prompt.md`. El prompt específico del idioma se agrega al final de `general_prompt`.

# Arquivo de teste de LLM { #llm-test-file }

Este documento testa se o <abbr title="Large Language Model – Modelo de Linguagem de Grande Porte">LLM</abbr>, que traduz a documentação, entende o `general_prompt` em `scripts/translate.py` e o prompt específico do idioma em `docs/{language code}/llm-prompt.md`. O prompt específico do idioma é anexado ao `general_prompt`.

Os testes adicionados aqui serão vistos por todos os autores dos prompts específicos de idioma.