feat(auto_metabase): push-all + describe/sql + auto-inject de dashcards

- push_all(): pushea todos los YAMLs de un proyecto (cards primero, dashboards despues), solo CREATE/UPDATE, resiliente a fallos por item - explore.py: comandos describe (schema de DB) y sql (query ad-hoc con limite, cap 5MB, bloqueo de escrituras destructivas) - payload.py: auto-inyecta id:-N, visualization_settings:{} y parameter_mappings:[] en dashcards nuevas para evitar 500 en push - test_local: 11 cards + 3 dashboards sobre Sample Database de Metabase - registry.db regenerado con auto_metabase_py_analytics indexada Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-13 13:14:05 +02:00
parent 386a5471e0
commit 310b409ae0
32 changed files with 3116 additions and 0 deletions
@@ -0,0 +1,28 @@
+_meta:
+  kind: card
+  id: 48
+  slug: clientes_nuevos_por_mes
+  synced_at: '2026-04-13T10:49:59Z'
+  remote_updated_at: '2026-04-13T10:49:59.096661Z'
+_refs:
+  database: sample_database
+  collection: null
+payload:
+  description: Altas mensuales en PEOPLE (CREATED_AT)
+  archived: false
+  enable_embedding: false
+  query_type: native
+  name: Clientes nuevos por mes
+  type: question
+  dataset_query:
+    lib/type: mbql/query
+    database: sample_database
+    stages:
+    - lib/type: mbql.stage/native
+      native: "SELECT FORMATDATETIME(CREATED_AT, 'yyyy-MM') AS mes,\n       COUNT(*) AS nuevos\n  FROM PEOPLE\n GROUP BY mes\n\
+        \ ORDER BY mes"
+  parameter_mappings: []
+  display: line
+  collection_preview: true
+  visualization_settings: {}
+  parameters: []
@@ -0,0 +1,31 @@
+_meta:
+  kind: card
+  id: 49
+  slug: clientes_por_edad
+  synced_at: '2026-04-13T10:49:59Z'
+  remote_updated_at: '2026-04-13T10:49:59.154517Z'
+_refs:
+  database: sample_database
+  collection: null
+payload:
+  description: Distribucion calculada desde BIRTH_DATE a fecha actual
+  archived: false
+  enable_embedding: false
+  query_type: native
+  name: Clientes por rango de edad
+  type: question
+  dataset_query:
+    lib/type: mbql/query
+    database: sample_database
+    stages:
+    - lib/type: mbql.stage/native
+      native: "SELECT\n  CASE\n    WHEN DATEDIFF('year', BIRTH_DATE, CURRENT_DATE) < 25 THEN '1) <25'\n    WHEN DATEDIFF('year',\
+        \ BIRTH_DATE, CURRENT_DATE) < 35 THEN '2) 25-34'\n    WHEN DATEDIFF('year', BIRTH_DATE, CURRENT_DATE) < 45 THEN '3)\
+        \ 35-44'\n    WHEN DATEDIFF('year', BIRTH_DATE, CURRENT_DATE) < 55 THEN '4) 45-54'\n    WHEN DATEDIFF('year', BIRTH_DATE,\
+        \ CURRENT_DATE) < 65 THEN '5) 55-64'\n    ELSE '6) 65+'\n  END AS rango_edad,\n  COUNT(*) AS clientes\nFROM PEOPLE\n\
+        WHERE BIRTH_DATE IS NOT NULL\nGROUP BY rango_edad\nORDER BY rango_edad"
+  parameter_mappings: []
+  display: bar
+  collection_preview: true
+  visualization_settings: {}
+  parameters: []
@@ -0,0 +1,27 @@
+_meta:
+  kind: card
+  id: 46
+  slug: clientes_por_estado
+  synced_at: '2026-04-13T10:49:59Z'
+  remote_updated_at: '2026-04-13T10:49:59.215737Z'
+_refs:
+  database: sample_database
+  collection: null
+payload:
+  description: Top 10 estados (US) por numero de clientes
+  archived: false
+  enable_embedding: false
+  query_type: native
+  name: clientes_por_estado
+  type: question
+  dataset_query:
+    lib/type: mbql/query
+    database: sample_database
+    stages:
+    - lib/type: mbql.stage/native
+      native: "SELECT STATE, COUNT(*) AS clientes\n  FROM PEOPLE\n GROUP BY STATE\n ORDER BY clientes DESC\n LIMIT 10"
+  parameter_mappings: []
+  display: bar
+  collection_preview: true
+  visualization_settings: {}
+  parameters: []
@@ -0,0 +1,28 @@
+_meta:
+  kind: card
+  id: 50
+  slug: clientes_por_source
+  synced_at: '2026-04-13T10:49:59Z'
+  remote_updated_at: '2026-04-13T10:49:59.276556Z'
+_refs:
+  database: sample_database
+  collection: null
+payload:
+  description: Distribucion por SOURCE (Google, Twitter, Facebook, Organic, Affiliate)
+  archived: false
+  enable_embedding: false
+  query_type: native
+  name: Clientes por canal
+  type: question
+  dataset_query:
+    lib/type: mbql/query
+    database: sample_database
+    stages:
+    - lib/type: mbql.stage/native
+      native: "SELECT COALESCE(SOURCE, 'unknown') AS canal,\n       COUNT(*) AS clientes\n  FROM PEOPLE\n GROUP BY canal\n\
+        \ ORDER BY clientes DESC"
+  parameter_mappings: []
+  display: pie
+  collection_preview: true
+  visualization_settings: {}
+  parameters: []
@@ -0,0 +1,27 @@
+_meta:
+  kind: card
+  id: 51
+  slug: clientes_recientes
+  synced_at: '2026-04-13T10:49:59Z'
+  remote_updated_at: '2026-04-13T10:49:59.325878Z'
+_refs:
+  database: sample_database
+  collection: null
+payload:
+  description: Tabla de las 20 altas mas recientes en PEOPLE
+  archived: false
+  enable_embedding: false
+  query_type: native
+  name: Ultimos 20 clientes registrados
+  type: question
+  dataset_query:
+    lib/type: mbql/query
+    database: sample_database
+    stages:
+    - lib/type: mbql.stage/native
+      native: "SELECT NAME, EMAIL, CITY, STATE, SOURCE, CREATED_AT\n  FROM PEOPLE\n ORDER BY CREATED_AT DESC\n LIMIT 20"
+  parameter_mappings: []
+  display: table
+  collection_preview: true
+  visualization_settings: {}
+  parameters: []
@@ -0,0 +1,28 @@
+_meta:
+  kind: card
+  id: 52
+  slug: clientes_top_ciudades
+  synced_at: '2026-04-13T10:49:59Z'
+  remote_updated_at: '2026-04-13T10:49:59.37711Z'
+_refs:
+  database: sample_database
+  collection: null
+payload:
+  description: Ciudades con mas clientes
+  archived: false
+  enable_embedding: false
+  query_type: native
+  name: Top 15 ciudades
+  type: question
+  dataset_query:
+    lib/type: mbql/query
+    database: sample_database
+    stages:
+    - lib/type: mbql.stage/native
+      native: "SELECT CITY, STATE, COUNT(*) AS clientes\n  FROM PEOPLE\n GROUP BY CITY, STATE\n ORDER BY clientes DESC\n LIMIT\
+        \ 15"
+  parameter_mappings: []
+  display: bar
+  collection_preview: true
+  visualization_settings: {}
+  parameters: []
@@ -0,0 +1,27 @@
+_meta:
+  kind: card
+  id: 42
+  slug: clientes_total
+  synced_at: '2026-04-13T10:49:59Z'
+  remote_updated_at: '2026-04-13T10:49:59.441467Z'
+_refs:
+  database: sample_database
+  collection: null
+payload:
+  description: Numero total de clientes en PEOPLE
+  archived: false
+  enable_embedding: false
+  query_type: native
+  name: clientes_total
+  type: question
+  dataset_query:
+    lib/type: mbql/query
+    database: sample_database
+    stages:
+    - lib/type: mbql.stage/native
+      native: SELECT COUNT(*) AS total FROM PEOPLE
+  parameter_mappings: []
+  display: scalar
+  collection_preview: true
+  visualization_settings: {}
+  parameters: []
@@ -0,0 +1,28 @@
+_meta:
+  kind: card
+  id: 45
+  slug: compras_por_mes
+  synced_at: '2026-04-13T10:49:59Z'
+  remote_updated_at: '2026-04-13T10:49:59.516411Z'
+_refs:
+  database: sample_database
+  collection: null
+payload:
+  description: Numero de compras agrupadas por mes
+  archived: false
+  enable_embedding: false
+  query_type: native
+  name: compras_por_mes
+  type: question
+  dataset_query:
+    lib/type: mbql/query
+    database: sample_database
+    stages:
+    - lib/type: mbql.stage/native
+      native: "SELECT FORMATDATETIME(CREATED_AT, 'yyyy-MM') AS mes,\n       COUNT(*) AS compras\n  FROM ORDERS\n GROUP BY\
+        \ mes\n ORDER BY mes"
+  parameter_mappings: []
+  display: line
+  collection_preview: true
+  visualization_settings: {}
+  parameters: []
@@ -0,0 +1,27 @@
+_meta:
+  kind: card
+  id: 43
+  slug: compras_total
+  synced_at: '2026-04-13T10:49:59Z'
+  remote_updated_at: '2026-04-13T10:49:59.586558Z'
+_refs:
+  database: sample_database
+  collection: null
+payload:
+  description: Numero total de compras en ORDERS
+  archived: false
+  enable_embedding: false
+  query_type: native
+  name: compras_total
+  type: question
+  dataset_query:
+    lib/type: mbql/query
+    database: sample_database
+    stages:
+    - lib/type: mbql.stage/native
+      native: SELECT COUNT(*) AS total FROM ORDERS
+  parameter_mappings: []
+  display: scalar
+  collection_preview: true
+  visualization_settings: {}
+  parameters: []
@@ -0,0 +1,27 @@
+_meta:
+  kind: card
+  id: 44
+  slug: ingresos_totales
+  synced_at: '2026-04-13T10:49:59Z'
+  remote_updated_at: '2026-04-13T10:49:59.663393Z'
+_refs:
+  database: sample_database
+  collection: null
+payload:
+  description: Suma de TOTAL de todas las compras
+  archived: false
+  enable_embedding: false
+  query_type: native
+  name: ingresos_totales
+  type: question
+  dataset_query:
+    lib/type: mbql/query
+    database: sample_database
+    stages:
+    - lib/type: mbql.stage/native
+      native: SELECT ROUND(SUM(TOTAL), 2) AS ingresos FROM ORDERS
+  parameter_mappings: []
+  display: scalar
+  collection_preview: true
+  visualization_settings: {}
+  parameters: []
@@ -0,0 +1,27 @@
+_meta:
+  kind: card
+  id: 40
+  slug: test_count_users
+  synced_at: '2026-04-13T10:49:59Z'
+  remote_updated_at: '2026-04-13T10:49:59.727051Z'
+_refs:
+  database: metabase_internal_pg
+  collection: null
+payload:
+  description: otro cambio externo
+  archived: false
+  enable_embedding: false
+  query_type: native
+  name: test_count_users
+  type: question
+  dataset_query:
+    lib/type: mbql/query
+    database: metabase_internal_pg
+    stages:
+    - lib/type: mbql.stage/native
+      native: SELECT COUNT(*) AS users FROM core_user
+  parameter_mappings: []
+  display: scalar
+  collection_preview: true
+  visualization_settings: {}
+  parameters: []
@@ -0,0 +1,26 @@
+_meta:
+  kind: card
+  id: 41
+  slug: test_users_by_locale
+  synced_at: '2026-04-13T10:49:59Z'
+  remote_updated_at: '2026-04-13T10:49:59.796377Z'
+_refs:
+  database: metabase_internal_pg
+  collection: null
+payload:
+  archived: false
+  enable_embedding: false
+  query_type: native
+  name: test_users_by_locale
+  type: question
+  dataset_query:
+    lib/type: mbql/query
+    database: metabase_internal_pg
+    stages:
+    - lib/type: mbql.stage/native
+      native: SELECT COALESCE(locale, 'unknown') AS locale, COUNT(*) AS n FROM core_user GROUP BY locale ORDER BY n DESC
+  parameter_mappings: []
+  display: bar
+  collection_preview: true
+  visualization_settings: {}
+  parameters: []
@@ -0,0 +1,29 @@
+_meta:
+  kind: card
+  id: 47
+  slug: top_clientes
+  synced_at: '2026-04-13T10:49:59Z'
+  remote_updated_at: '2026-04-13T10:49:59.882916Z'
+_refs:
+  database: sample_database
+  collection: null
+payload:
+  description: Top 10 clientes por gasto total
+  archived: false
+  enable_embedding: false
+  query_type: native
+  name: top_clientes
+  type: question
+  dataset_query:
+    lib/type: mbql/query
+    database: sample_database
+    stages:
+    - lib/type: mbql.stage/native
+      native: "SELECT P.NAME AS cliente,\n       P.EMAIL AS email,\n       COUNT(O.ID) AS num_compras,\n       ROUND(SUM(O.TOTAL),\
+        \ 2) AS total_gastado\n  FROM PEOPLE P\n  JOIN ORDERS O ON O.USER_ID = P.ID\n GROUP BY P.NAME, P.EMAIL\n ORDER BY\
+        \ total_gastado DESC\n LIMIT 10"
+  parameter_mappings: []
+  display: table
+  collection_preview: true
+  visualization_settings: {}
+  parameters: []