refactor: separate standalone and managed room configs

- veins → shunts rename
- add cfg/standalone/ and cfg/<room>/ structure
- remove old data/*.json (moved to cfg/<room>/data/)
- update build.py and ctrl scripts

cfg/amar/data/__init__.py

@@ -0,0 +1,156 @@
+"""
+Pawprint Data Layer
+
+JSON file storage (future: MongoDB)
+"""
+
+import json
+from pathlib import Path
+from typing import List, Optional
+
+# Add parent to path for models import
+import sys
+sys.path.insert(0, str(Path(__file__).parent.parent))
+
+from models.pydantic import (
+    Vein, Nest, Larder, Template, Tool,
+    Pulse, Book, Table,
+    VeinCollection, NestCollection, LarderCollection,
+    TemplateCollection, ToolCollection,
+    PulseCollection, BookCollection, TableCollection,
+    Status
+)
+
+DATA_DIR = Path(__file__).parent.resolve()
+
+# Debug: print data dir on import
+print(f"[data] DATA_DIR: {DATA_DIR}")
+print(f"[data] DATA_DIR exists: {DATA_DIR.exists()}")
+print(f"[data] veins.json exists: {(DATA_DIR / 'veins.json').exists()}")
+
+
+def _load_json(filename: str) -> dict:
+    filepath = DATA_DIR / filename
+    if filepath.exists():
+        with open(filepath) as f:
+            data = json.load(f)
+            print(f"[data] Loaded {filename}: {len(data.get('items', []))} items")
+            return data
+    print(f"[data] File not found: {filepath}")
+    return {"items": []}
+
+
+def _save_json(filename: str, data: dict):
+    filepath = DATA_DIR / filename
+    with open(filepath, 'w') as f:
+        json.dump(data, f, indent=2)
+
+
+# === Loaders ===
+
+def get_veins() -> List[Vein]:
+    data = _load_json("veins.json")
+    return VeinCollection(**data).items
+
+
+def get_nests() -> List[Nest]:
+    data = _load_json("nests.json")
+    return NestCollection(**data).items
+
+
+def get_larders() -> List[Larder]:
+    data = _load_json("larders.json")
+    return LarderCollection(**data).items
+
+
+def get_templates() -> List[Template]:
+    data = _load_json("templates.json")
+    return TemplateCollection(**data).items
+
+
+def get_tools() -> List[Tool]:
+    data = _load_json("tools.json")
+    return ToolCollection(**data).items
+
+
+def get_cabinets() -> list:
+    """Load cabinets (simple dict, no pydantic yet)."""
+    data = _load_json("cabinets.json")
+    return data.get("items", [])
+
+
+def get_monitors() -> list:
+    """Load monitors (simple dict, no pydantic yet)."""
+    data = _load_json("monitors.json")
+    return data.get("items", [])
+
+
+def get_pulses() -> List[Pulse]:
+    data = _load_json("pulses.json")
+    return PulseCollection(**data).items
+
+
+def get_books() -> List[Book]:
+    data = _load_json("books.json")
+    return BookCollection(**data).items
+
+
+def get_tables() -> List[Table]:
+    data = _load_json("tables.json")
+    return TableCollection(**data).items
+
+
+# === Helpers ===
+
+def get_vein(name: str) -> Optional[Vein]:
+    for v in get_veins():
+        if v.name == name:
+            return v
+    return None
+
+
+def get_nest(name: str) -> Optional[Nest]:
+    for n in get_nests():
+        if n.name == name:
+            return n
+    return None
+
+
+def get_larder(name: str) -> Optional[Larder]:
+    for l in get_larders():
+        if l.name == name:
+            return l
+    return None
+
+
+# === For frontend rendering ===
+
+def get_artery_data() -> dict:
+    """Data for artery frontend."""
+    return {
+        "veins": [v.model_dump() for v in get_veins()],
+        "nests": [n.model_dump() for n in get_nests()],
+        "larders": [l.model_dump() for l in get_larders()],
+        "pulses": [p.model_dump() for p in get_pulses()],
+    }
+
+
+def get_album_data() -> dict:
+    """Data for album frontend."""
+    return {
+        "templates": [t.model_dump() for t in get_templates()],
+        "larders": [l.model_dump() for l in get_larders()],
+        "books": [b.model_dump() for b in get_books()],
+    }
+
+
+def get_ward_data() -> dict:
+    """Data for ward frontend."""
+    return {
+        "tools": [t.model_dump() for t in get_tools()],
+        "monitors": get_monitors(),
+        "cabinets": get_cabinets(),
+        "nests": [n.model_dump() for n in get_nests()],
+        "larders": [l.model_dump() for l in get_larders()],
+        "tables": [t.model_dump() for t in get_tables()],
+    }

cfg/amar/data/books.json

@@ -0,0 +1,79 @@
+{
+  "items": [
+    {
+      "name": "arch-model",
+      "slug": "arch-model",
+      "title": "Architecture Model",
+      "status": "ready",
+      "template": null,
+      "larder": {
+        "name": "arch-model",
+        "slug": "arch-model",
+        "title": "Architecture Model",
+        "status": "ready",
+        "source_template": null,
+        "data_path": "album/book/arch-model"
+      },
+      "output_larder": null,
+      "system": "album"
+    },
+    {
+      "name": "feature-flow",
+      "slug": "feature-flow",
+      "title": "Feature Flow Pipeline",
+      "status": "ready",
+      "template": null,
+      "larder": {
+        "name": "feature-flow",
+        "slug": "feature-flow",
+        "title": "Feature Flow Pipeline",
+        "status": "ready",
+        "source_template": null,
+        "data_path": "album/book/feature-flow"
+      },
+      "output_larder": null,
+      "system": "album"
+    },
+    {
+      "name": "gherkin-samples",
+      "slug": "gherkin-samples",
+      "title": "Gherkin Samples",
+      "status": "ready",
+      "template": null,
+      "larder": {
+        "name": "gherkin-samples",
+        "slug": "gherkin-samples",
+        "title": "Gherkin Samples",
+        "status": "ready",
+        "source_template": null,
+        "data_path": "album/book/gherkin-samples"
+      },
+      "output_larder": null,
+      "system": "album"
+    },
+    {
+      "name": "feature-form-samples",
+      "slug": "feature-form-samples",
+      "title": "Feature Form Samples",
+      "status": "ready",
+      "template": {
+        "name": "feature-form",
+        "slug": "feature-form",
+        "title": "Feature Form Template",
+        "status": "ready",
+        "template_path": "album/template/feature-form",
+        "system": "album"
+      },
+      "larder": {
+        "name": "feature-form",
+        "slug": "feature-form",
+        "title": "Feature Forms",
+        "status": "ready",
+        "source_template": "feature-form",
+        "data_path": "album/book/feature-form-samples/feature-form"
+      },
+      "output_larder": null,
+      "system": "album"
+    }
+  ]
+}

cfg/amar/data/depots.json

@@ -0,0 +1,12 @@
+{
+  "items": [
+    {
+      "name": "feature-form",
+      "slug": "feature-form",
+      "title": "Feature Forms",
+      "status": "ready",
+      "source_template": "feature-form",
+      "data_path": "album/book/feature-form-samples/feature-form"
+    }
+  ]
+}

cfg/amar/data/desks.json

@@ -0,0 +1,3 @@
+{
+  "items": []
+}

cfg/amar/data/monitors.json

@@ -0,0 +1,22 @@
+{
+  "items": [
+    {
+      "name": "turnos",
+      "slug": "turnos",
+      "title": "Turnos Monitor",
+      "status": "dev",
+      "system": "ward",
+      "description": "Pipeline view of requests → turnos. Shows vet-petowner at a glance.",
+      "path": "ward/monitor/turnos"
+    },
+    {
+      "name": "data_browse",
+      "slug": "data-browse",
+      "title": "Data Browse",
+      "status": "ready",
+      "system": "ward",
+      "description": "Quick navigation to test users and data states. Book/larder pattern with SQL mode for manual testing workflows.",
+      "path": "ward/monitor/data_browse"
+    }
+  ]
+}

cfg/amar/data/pulses.json

@@ -0,0 +1,3 @@
+{
+  "items": []
+}

cfg/amar/data/rooms.json

@@ -0,0 +1,5 @@
+{
+  "items": [
+    {"name": "pawprint-local", "slug": "pawprint-local", "title": "Pawprint Local", "status": "dev", "config_path": "deploy/pawprint-local"}
+  ]
+}

cfg/amar/data/tables.json

@@ -0,0 +1,3 @@
+{
+  "items": []
+}

cfg/amar/data/template/feature-form/template.md

@@ -0,0 +1,38 @@
+# {{nombre_flujo}}
+
+## Tipo de usuario
+{{tipo_usuario}}
+
+## Donde empieza
+{{punto_entrada}}
+
+## Que quiere hacer el usuario
+{{objetivo}}
+
+## Pasos
+
+1. {{paso_1}}
+2. {{paso_2}}
+3. {{paso_3}}
+
+## Que deberia pasar
+
+- {{resultado_1}}
+- {{resultado_2}}
+
+## Problemas comunes
+
+- {{problema_1}}
+- {{problema_2}}
+
+## Casos especiales
+
+- {{caso_especial_1}}
+
+## Flujos relacionados
+
+- {{flujo_relacionado_1}}
+
+## Notas tecnicas
+
+- {{nota_tecnica_1}}

cfg/amar/data/templates.json

@@ -0,0 +1,12 @@
+{
+  "items": [
+    {
+      "name": "feature-form",
+      "slug": "feature-form",
+      "title": "Feature Form Template",
+      "status": "ready",
+      "template_path": "data/template/feature-form",
+      "system": "album"
+    }
+  ]
+}

cfg/amar/data/tools.json

@@ -0,0 +1,48 @@
+{
+  "items": [
+    {
+      "name": "tester",
+      "slug": "tester",
+      "title": "Contract Tests",
+      "status": "live",
+      "system": "ward",
+      "type": "app",
+      "description": "HTTP contract test runner with multi-environment support. Filter, run, and track tests against dev/stage/prod.",
+      "path": "ward/tools/tester",
+      "url": "/tools/tester/"
+    },
+    {
+      "name": "datagen",
+      "slug": "datagen",
+      "title": "Test Data Generator",
+      "status": "live",
+      "system": "ward",
+      "type": "cli",
+      "description": "Generate realistic test data for Amar domain (users, pets, services) and MercadoPago API responses. Used by mock veins and test seeders.",
+      "path": "ward/tools/datagen",
+      "cli": "python -m datagen"
+    },
+    {
+      "name": "generate_test_data",
+      "slug": "generate-test-data",
+      "title": "DB Test Data Extractor",
+      "status": "dev",
+      "system": "ward",
+      "type": "cli",
+      "description": "Extract representative subsets from PostgreSQL dumps for testing/development.",
+      "path": "ward/tools/generate_test_data",
+      "cli": "python -m generate_test_data"
+    },
+    {
+      "name": "modelgen",
+      "slug": "modelgen",
+      "title": "Model Generator",
+      "status": "dev",
+      "system": "ward",
+      "type": "cli",
+      "description": "Generate platform-specific models (Pydantic, Django, Prisma) from JSON Schema.",
+      "path": "ward/tools/modelgen",
+      "cli": "python -m modelgen"
+    }
+  ]
+}

cfg/amar/data/veins.json

@@ -0,0 +1,60 @@
+{
+  "items": [
+    {
+      "name": "jira",
+      "slug": "jira",
+      "title": "Jira",
+      "status": "live",
+      "system": "artery"
+    },
+    {
+      "name": "slack",
+      "slug": "slack",
+      "title": "Slack",
+      "status": "building",
+      "system": "artery"
+    },
+    {
+      "name": "google",
+      "slug": "google",
+      "title": "Google",
+      "status": "planned",
+      "system": "artery"
+    },
+    {
+      "name": "maps",
+      "slug": "maps",
+      "title": "Maps",
+      "status": "planned",
+      "system": "artery"
+    },
+    {
+      "name": "whatsapp",
+      "slug": "whatsapp",
+      "title": "WhatsApp",
+      "status": "planned",
+      "system": "artery"
+    },
+    {
+      "name": "gnucash",
+      "slug": "gnucash",
+      "title": "GNUCash",
+      "status": "planned",
+      "system": "artery"
+    },
+    {
+      "name": "vnc",
+      "slug": "vnc",
+      "title": "VNC",
+      "status": "planned",
+      "system": "artery"
+    },
+    {
+      "name": "ia",
+      "slug": "ia",
+      "title": "IA",
+      "status": "planned",
+      "system": "artery"
+    }
+  ]
+}