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init: rapid_dashboards app from fn_registry

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dataforge
2026-04-06 00:57:13 +02:00
commit b7f354e081
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examples/demo_dashboard.yaml
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settings:
title: "fn_registry — Dashboard Demo"
refresh: 5s
width: 1280
height: 800
columns: 12
theme: "dark"
connections:
registry:
driver: sqlite
path: ../../../registry.db
queries:
total_functions:
connection: registry
sql: "SELECT COUNT(*) as value FROM functions"
refresh: 30s
total_types:
connection: registry
sql: "SELECT COUNT(*) as value FROM types"
refresh: 30s
total_proposals:
connection: registry
sql: "SELECT COUNT(*) as value FROM proposals"
refresh: 30s
functions_by_domain:
connection: registry
sql: "SELECT domain, COUNT(*) as count FROM functions GROUP BY domain ORDER BY count DESC"
refresh: 30s
functions_by_kind:
connection: registry
sql: "SELECT kind, COUNT(*) as count FROM functions GROUP BY kind ORDER BY count DESC"
refresh: 30s
functions_by_purity:
connection: registry
sql: "SELECT purity, COUNT(*) as count FROM functions GROUP BY purity ORDER BY count DESC"
refresh: 30s
functions_by_lang:
connection: registry
sql: "SELECT lang, COUNT(*) as count FROM functions GROUP BY lang ORDER BY count DESC"
refresh: 30s
recent_functions:
connection: registry
sql: "SELECT id, kind, lang, domain, purity, description FROM functions ORDER BY updated_at DESC LIMIT 20"
refresh: 10s
tested_ratio:
connection: registry
sql: "SELECT tested, COUNT(*) as count FROM functions GROUP BY tested"
refresh: 30s
filters: {}
sections:
- id: kpis
title: "Overview"
widgets:
- id: total_fn
type: kpi
title: "Functions"
query: total_functions
mapping: { value: "value" }
span: 3
- id: total_tp
type: kpi
title: "Types"
query: total_types
mapping: { value: "value" }
span: 3
- id: total_pr
type: kpi
title: "Proposals"
query: total_proposals
mapping: { value: "value" }
span: 3
- id: tested_kpi
type: kpi
title: "Tested Ratio"
query: tested_ratio
mapping: { value: "count" }
span: 3
- id: distribution
title: "Distribution"
columns: 4
widgets:
- id: by_domain
type: bar_chart
title: "By Domain"
query: functions_by_domain
mapping: { x: "domain", y: "count" }
options: { show_grid: true }
span: 1
- id: by_lang
type: bar_chart
title: "By Language"
query: functions_by_lang
mapping: { x: "lang", y: "count" }
span: 1
- id: by_kind
type: bar_chart
title: "By Kind"
query: functions_by_kind
mapping: { x: "kind", y: "count" }
span: 1
- id: by_purity
type: bar_chart
title: "By Purity"
query: functions_by_purity
mapping: { x: "purity", y: "count" }
span: 1
- id: detail
title: "Recent Functions"
collapsible: true
widgets:
- id: recent_table
type: table
title: "Last 20 Updated"
query: recent_functions
mapping:
columns:
- { key: "id", label: "ID" }
- { key: "kind", label: "Kind" }
- { key: "lang", label: "Lang" }
- { key: "domain", label: "Domain" }
- { key: "purity", label: "Purity" }
- { key: "description", label: "Description" }
span: 12
examples/fn_registry_apps.yaml
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settings:
title: "fn-registry Apps"
refresh: 30s
width: 1440
height: 900
columns: 12
theme: "emerald"
connections:
registry:
driver: sqlite
path: ../../registry.db
queries:
# --- KPIs ---
total_apps:
connection: registry
sql: "SELECT COUNT(*) AS value FROM apps"
apps_go:
connection: registry
sql: "SELECT COUNT(*) AS value FROM apps WHERE lang = 'go'"
apps_python:
connection: registry
sql: "SELECT COUNT(*) AS value FROM apps WHERE lang = 'py'"
domains_with_apps:
connection: registry
sql: "SELECT COUNT(DISTINCT domain) AS value FROM apps"
# --- Distribucion ---
apps_by_lang:
connection: registry
sql: "SELECT lang, COUNT(*) AS cantidad FROM apps GROUP BY lang ORDER BY cantidad DESC"
apps_by_domain:
connection: registry
sql: "SELECT domain, COUNT(*) AS cantidad FROM apps GROUP BY domain ORDER BY cantidad DESC"
apps_by_framework:
connection: registry
sql: |
SELECT
CASE WHEN framework = '' OR framework IS NULL THEN '(sin framework)' ELSE framework END AS framework,
COUNT(*) AS cantidad
FROM apps
GROUP BY framework
ORDER BY cantidad DESC
# --- Dependencias ---
apps_most_deps:
connection: registry
sql: |
SELECT
name || ' (' || lang || ')' AS app,
(LENGTH(uses_functions) - LENGTH(REPLACE(uses_functions, ',', ''))
+ CASE WHEN uses_functions != '[]' AND uses_functions != '' THEN 1 ELSE 0 END) AS dependencias
FROM apps
WHERE uses_functions != '[]' AND uses_functions != ''
ORDER BY dependencias DESC
LIMIT 15
functions_most_used_in_apps:
connection: registry
sql: |
WITH RECURSIVE split_uses(app_id, rest, val) AS (
SELECT id, uses_functions || ',', NULL
FROM apps
WHERE uses_functions != '[]' AND uses_functions != ''
UNION ALL
SELECT app_id,
SUBSTR(rest, INSTR(rest, ',') + 1),
TRIM(SUBSTR(rest, 1, INSTR(rest, ',') - 1), ' "[]')
FROM split_uses WHERE rest != ''
)
SELECT val AS funcion, COUNT(*) AS veces
FROM split_uses
WHERE val IS NOT NULL AND val != '' AND val != ']'
GROUP BY val
ORDER BY veces DESC
LIMIT 15
# --- Catalogo ---
apps_catalog:
connection: registry
sql: |
SELECT
id,
name,
lang,
domain,
CASE WHEN framework = '' THEN '-' ELSE framework END AS framework,
description,
entry_point,
updated_at
FROM apps
ORDER BY domain, name
filters: {}
sections:
# ---- KPIs ----
- id: kpis
title: "Overview"
columns: 4
widgets:
- id: total_apps
type: kpi
title: "Total Apps"
query: total_apps
mapping: { value: "value" }
span: 1
- id: apps_go
type: kpi
title: "Apps Go"
query: apps_go
mapping: { value: "value" }
span: 1
- id: apps_py
type: kpi
title: "Apps Python"
query: apps_python
mapping: { value: "value" }
span: 1
- id: domains
type: kpi
title: "Dominios"
query: domains_with_apps
mapping: { value: "value" }
span: 1
# ---- Distribucion ----
- id: distribution
title: "Distribucion"
columns: 3
widgets:
- id: by_lang
type: pie_chart
title: "Apps por Lenguaje"
query: apps_by_lang
mapping: { name: "lang", value: "cantidad" }
span: 1
- id: by_domain
type: pie_chart
title: "Apps por Dominio"
query: apps_by_domain
mapping: { name: "domain", value: "cantidad" }
span: 1
- id: by_framework
type: bar_chart
title: "Apps por Framework"
query: apps_by_framework
mapping: { x: "framework", y: "cantidad" }
span: 1
# ---- Dependencias ----
- id: dependencies
title: "Dependencias"
columns: 2
widgets:
- id: most_deps
type: bar_chart
title: "Apps con Mas Dependencias"
query: apps_most_deps
mapping: { x: "app", y: "dependencias" }
options: { horizontal: true, height: 350 }
span: 1
- id: most_used_fns
type: bar_chart
title: "Funciones Mas Usadas en Apps"
query: functions_most_used_in_apps
mapping: { x: "funcion", y: "veces" }
options: { horizontal: true, height: 350 }
span: 1
# ---- Catalogo ----
- id: catalog
title: "Catalogo de Apps"
widgets:
- id: catalog_table
type: table
title: "Todas las Apps"
query: apps_catalog
mapping:
columns:
- { key: "id", label: "ID" }
- { key: "name", label: "Nombre" }
- { key: "lang", label: "Lang" }
- { key: "domain", label: "Dominio" }
- { key: "framework", label: "Framework" }
- { key: "description", label: "Descripcion" }
- { key: "entry_point", label: "Entry Point" }
- { key: "updated_at", label: "Actualizado" }
span: 12
examples/fn_registry_overview.yaml
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settings:
title: "fn-registry Overview"
refresh: 30s
width: 1440
height: 900
columns: 12
theme: "dark"
connections:
registry:
driver: sqlite
path: ../../registry.db
queries:
# --- KPIs ---
total_functions:
connection: registry
sql: "SELECT COUNT(*) AS value FROM functions"
functions_with_tests:
connection: registry
sql: "SELECT COUNT(*) AS value FROM functions WHERE tested = 1"
functions_without_tests:
connection: registry
sql: "SELECT COUNT(*) AS value FROM functions WHERE tested = 0"
total_types:
connection: registry
sql: "SELECT COUNT(*) AS value FROM types"
pending_proposals:
connection: registry
sql: "SELECT COUNT(*) AS value FROM proposals WHERE status = 'pending'"
# --- Distribucion general ---
by_lang:
connection: registry
sql: "SELECT lang, COUNT(*) AS cantidad FROM functions GROUP BY lang ORDER BY cantidad DESC"
by_domain:
connection: registry
sql: "SELECT domain, COUNT(*) AS cantidad FROM functions GROUP BY domain ORDER BY cantidad DESC"
by_kind:
connection: registry
sql: "SELECT kind, COUNT(*) AS cantidad FROM functions GROUP BY kind ORDER BY cantidad DESC"
# --- Analisis profundo ---
purity:
connection: registry
sql: "SELECT purity, COUNT(*) AS cantidad FROM functions GROUP BY purity ORDER BY cantidad DESC"
most_used:
connection: registry
sql: |
WITH RECURSIVE split_uses(fn_id, rest, val) AS (
SELECT id, uses_functions || ',', NULL FROM functions WHERE uses_functions != '[]' AND uses_functions != ''
UNION ALL
SELECT fn_id,
SUBSTR(rest, INSTR(rest, ',') + 1),
TRIM(SUBSTR(rest, 1, INSTR(rest, ',') - 1), ' "[]')
FROM split_uses WHERE rest != ''
)
SELECT val AS funcion, COUNT(*) AS veces
FROM split_uses
WHERE val IS NOT NULL AND val != '' AND val != ']'
GROUP BY val
ORDER BY veces DESC
LIMIT 15
most_complex:
connection: registry
sql: |
SELECT
name || ' (' || lang || ')' AS funcion,
(LENGTH(uses_functions) - LENGTH(REPLACE(uses_functions, ',', ''))
+ CASE WHEN uses_functions != '[]' AND uses_functions != '' THEN 1 ELSE 0 END) AS dependencias
FROM functions
WHERE uses_functions != '[]' AND uses_functions != ''
ORDER BY dependencias DESC
LIMIT 15
# --- Cobertura y cross-table ---
test_coverage_by_domain:
connection: registry
sql: |
SELECT
domain,
SUM(CASE WHEN tested = 1 THEN 1 ELSE 0 END) AS con_tests,
SUM(CASE WHEN tested = 0 THEN 1 ELSE 0 END) AS sin_tests
FROM functions
GROUP BY domain
ORDER BY domain
lang_by_domain:
connection: registry
sql: |
SELECT
domain,
SUM(CASE WHEN lang = 'go' THEN 1 ELSE 0 END) AS go,
SUM(CASE WHEN lang = 'py' THEN 1 ELSE 0 END) AS python,
SUM(CASE WHEN lang = 'bash' THEN 1 ELSE 0 END) AS bash,
SUM(CASE WHEN lang = 'ts' THEN 1 ELSE 0 END) AS typescript,
COUNT(*) AS total
FROM functions
GROUP BY domain
ORDER BY total DESC
# --- Tipos y recientes ---
types_by_domain:
connection: registry
sql: |
SELECT domain, algebraic, COUNT(*) AS cantidad
FROM types
GROUP BY domain, algebraic
ORDER BY domain, cantidad DESC
recent_functions:
connection: registry
sql: |
SELECT name, lang, domain, kind, purity, created_at
FROM functions
ORDER BY created_at DESC
LIMIT 20
filters: {}
sections:
# ---- Fila 0: KPIs ----
- id: kpis
title: "Overview"
widgets:
- id: total_fn
type: kpi
title: "Total Funciones"
query: total_functions
mapping: { value: "value" }
span: 2
- id: fn_tested
type: kpi
title: "Con Tests"
query: functions_with_tests
mapping: { value: "value" }
span: 3
- id: fn_untested
type: kpi
title: "Sin Tests"
query: functions_without_tests
mapping: { value: "value" }
span: 2
- id: total_tp
type: kpi
title: "Total Tipos"
query: total_types
mapping: { value: "value" }
span: 3
- id: pending_pr
type: kpi
title: "Proposals Pendientes"
query: pending_proposals
mapping: { value: "value" }
span: 2
# ---- Fila 1: Distribucion general ----
- id: distribution
title: "Distribucion"
columns: 3
widgets:
- id: by_lang
type: pie_chart
title: "Funciones por Lenguaje"
query: by_lang
mapping: { name: "lang", value: "cantidad" }
span: 1
- id: by_domain
type: pie_chart
title: "Funciones por Dominio"
query: by_domain
mapping: { name: "domain", value: "cantidad" }
span: 1
- id: by_kind
type: bar_chart
title: "Funciones por Kind"
query: by_kind
mapping: { x: "kind", y: "cantidad" }
span: 1
# ---- Fila 2: Analisis profundo ----
- id: analysis
title: "Analisis"
columns: 3
widgets:
- id: purity_chart
type: bar_chart
title: "Puras vs Impuras"
query: purity
mapping: { x: "purity", y: "cantidad" }
span: 1
- id: most_used
type: bar_chart
title: "Funciones Mas Usadas por Otras"
query: most_used
mapping: { x: "funcion", y: "veces" }
options: { horizontal: true, height: 400 }
span: 1
- id: most_complex
type: bar_chart
title: "Mas Complejas (mas dependencias)"
query: most_complex
mapping: { x: "funcion", y: "dependencias" }
options: { horizontal: true, height: 400 }
span: 1
# ---- Fila 3: Cobertura + cross-table ----
- id: coverage
title: "Cobertura y Lenguajes"
columns: 2
widgets:
- id: test_coverage
type: bar_chart
title: "Cobertura de Tests por Dominio"
query: test_coverage_by_domain
mapping:
x: "domain"
series:
- { key: "con_tests", name: "Con Tests", color: "#10b981" }
- { key: "sin_tests", name: "Sin Tests", color: "#ef4444" }
options: { show_legend: true }
span: 1
- id: lang_domain_table
type: table
title: "Funciones por Lenguaje y Dominio"
query: lang_by_domain
mapping:
columns:
- { key: "domain", label: "Dominio" }
- { key: "go", label: "Go" }
- { key: "python", label: "Python" }
- { key: "bash", label: "Bash" }
- { key: "typescript", label: "TypeScript" }
- { key: "total", label: "Total" }
options:
heatmap_columns: ["go", "python", "bash", "typescript", "total"]
span: 1
# ---- Fila 4: Tipos + recientes ----
- id: bottom
title: "Tipos y Funciones Recientes"
columns: 2
widgets:
- id: types_table
type: table
title: "Tipos por Dominio y Algebraic"
query: types_by_domain
mapping:
columns:
- { key: "domain", label: "Dominio" }
- { key: "algebraic", label: "Algebraic" }
- { key: "cantidad", label: "Cantidad" }
span: 1
- id: recent_table
type: table
title: "Funciones Recientes (ultimas 20)"
query: recent_functions
mapping:
columns:
- { key: "name", label: "Nombre" }
- { key: "lang", label: "Lang" }
- { key: "domain", label: "Dominio" }
- { key: "kind", label: "Kind" }
- { key: "purity", label: "Purity" }
- { key: "created_at", label: "Creado" }
span: 1