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- .claude/agents/fn-analizador/SKILL.md - .claude/agents/fn-constructor/SKILL.md - .claude/agents/fn-executor/SKILL.md - .claude/agents/fn-mejorador/SKILL.md - .claude/agents/fn-orquestador/SKILL.md - .claude/agents/fn-recopilador/SKILL.md - .claude/commands/app.md - .claude/commands/compile.md - .claude/commands/cpp-app.md - .claude/commands/create_functions.md - ... Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
80 lines
2.6 KiB
Markdown
80 lines
2.6 KiB
Markdown
---
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name: init_metabase
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kind: pipeline
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lang: go
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domain: infra
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version: "1.0.0"
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purity: impure
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signature: "func main() — Despliega stack Metabase + Postgres en Docker"
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description: "Pipeline que inicializa un contenedor Metabase con su base de datos Postgres. Crea red Docker, pull de imágenes, inicia Postgres con volume persistente, espera health check y lanza Metabase conectado."
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tags: [docker, metabase, postgres, pipeline, infra, analytics, launcher]
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uses_functions:
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- docker_create_network_go_infra
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- docker_pull_image_go_infra
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- docker_run_container_go_infra
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- docker_inspect_container_go_infra
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- retry_with_backoff_go_core
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uses_types:
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- container_info_go_infra
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- network_go_docker
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returns: []
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returns_optional: false
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error_type: "error_go_core"
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imports: [os/exec, encoding/json]
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params: []
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output: "stdout: JSON con IDs de red, contenedores (postgres, metabase) y URL de acceso"
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tested: false
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tests: []
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test_file_path: ""
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file_path: "functions/pipelines/init_metabase/main.go"
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---
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## Ejemplo
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```bash
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# Básico
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go run functions/pipelines/init_metabase/main.go \
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--project analytics \
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--metabase-port 3000 \
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--pg-user metabase \
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--pg-password metabase
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# Con volume para registry.db (detecta cambios en vivo)
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go run functions/pipelines/init_metabase/main.go \
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--project fn_registry \
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--mb-volumes "$HOME/fn_registry/registry.db:/data/registry.db"
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```
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Salida JSON:
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```json
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{
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"network_id": "abc123...",
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"postgres_id": "def456...",
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"metabase_id": "ghi789...",
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"network_name": "analytics-net",
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"postgres_name": "analytics-postgres",
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"metabase_name": "analytics-metabase",
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"metabase_url": "http://localhost:3000"
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}
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```
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## Notas
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El pipeline orquesta 5 pasos secuenciales:
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1. **Red Docker** — crea `{project}-net` con driver bridge
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2. **Pull** — descarga `postgres:16` y `metabase/metabase:latest`
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3. **Postgres** — inicia con volume persistente (named volume por defecto o bind mount con `--pg-volume`)
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4. **Health check** — retry exponencial (hasta ~34 min) con `pg_isready` dentro del contenedor
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5. **Metabase** — conecta a Postgres via red interna, expone en puerto configurable. Con `--mb-volumes` monta volumes adicionales (ej: registry.db para SQLite)
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6. **Permisos** — ajusta ownership de directorios montados para el usuario `metabase` (UID 2000) dentro del contenedor
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Reutiliza conceptualmente `docker_create_network`, `docker_pull_image`, `docker_run_container`, `docker_inspect_container` y `retry_with_backoff`, reimplementadas inline por ser un ejecutable independiente.
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Para destruir el stack:
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```bash
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docker stop analytics-metabase analytics-postgres
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docker rm analytics-metabase analytics-postgres
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docker network rm analytics-net
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```
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