fn_registry/functions/infra/metabase_create_card.md

name, kind, lang, domain, version, purity, signature, description, tags, uses_functions, uses_types, returns, returns_optional, error_type, imports, tested, tests, test_file_path, file_path

name	kind	lang	domain	version	purity	signature	description	tags	uses_functions	uses_types	returns	returns_optional	error_type	imports	tested	tests	test_file_path	file_path
metabase_create_card	function	go	infra	1.0.0	impure	func MetabaseCreateCard(client MetabaseClient, name string, datasetQuery map[string]any, display string, collectionID int, description string) (map[string]any, error)	Crea una nueva card/pregunta en Metabase con query SQL nativa o MBQL. Endpoint: POST /api/card.	metabase card question create api		MetabaseClient_go_infra		false	error_go_core	fmt	false			functions/infra/metabase_create_card.go

Ejemplo

// Crear pregunta con SQL nativo
card, err := MetabaseCreateCard(client, "Revenue by Month", map[string]any{
    "database": 1,
    "type":     "native",
    "native": map[string]any{
        "query": "SELECT date_trunc('month', created_at) as month, SUM(total) as revenue FROM orders GROUP BY 1 ORDER BY 1",
    },
}, "line", 5, "Monthly revenue trend")

// Crear pregunta con MBQL (structured query)
card, err := MetabaseCreateCard(client, "Order Count", map[string]any{
    "database": 1,
    "type":     "query",
    "query": map[string]any{
        "source-table": 4,
        "aggregation":  []any{[]any{"count"}},
    },
}, "scalar", 0, "Total number of orders")

Notas

Parametros para un LLM

Parametro	Tipo	Requerido	Descripcion
client	MetabaseClient	si	Cliente autenticado
name	string	si	Nombre de la pregunta
datasetQuery	map[string]any	si	Query. Ver estructura abajo
display	string	si	Tipo de visualizacion
collectionID	int	no	ID de coleccion. 0 = root collection
description	string	no	Descripcion. Vacio = sin descripcion

Estructura de datasetQuery

SQL nativo:

{
  "database": <database_id>,
  "type": "native",
  "native": {"query": "SELECT ..."}
}

MBQL (structured):

{
  "database": <database_id>,
  "type": "query",
  "query": {
    "source-table": <table_id>,
    "aggregation": [["count"]],
    "breakout": [["field", <field_id>, {"temporal-unit": "month"}]],
    "filter": ["=", ["field", <field_id>, null], "value"]
  }
}

Valores de display

table, bar, line, pie, scalar, area, row, combo, funnel, map, scatter, waterfall, progress, gauge