docker build fix

major refactor
executor abstraction, graphene to strawberry
2026-03-13 14:31:26 -03:00 · 2026-03-13 01:07:02 -03:00 · 2026-03-12 23:27:34 -03:00
71 changed files with 1490 additions and 739 deletions
--- a/.dockerignore
+++ b/.dockerignore
@@ -0,0 +1,30 @@
+# Python
+.venv/
+__pycache__/
+*.pyc
+*.egg-info/
+.pytest_cache/
+
+# Node
+node_modules/
+ui/*/node_modules/
+ui/*/dist/
+
+# Media (9.8GB — mounted via volume, never needed in image)
+media/
+
+# Git
+.git/
+
+# IDE / OS
+.idea/
+.vscode/
+*.swp
+.DS_Store
+
+# Docker
+ctrl/docker-compose.yml
+
+# Docs
+docs/
+*.md
--- a/README.md
+++ b/README.md
@@ -71,12 +71,12 @@ docker compose logs -f
 docker compose logs -f celery

 # Create admin user
-docker compose exec django python manage.py createsuperuser
+docker compose exec django python admin/manage.py createsuperuser
 ```

 ## Code Generation

-Models are defined as dataclasses in `schema/models/` and generated via `modelgen`:
+Models are defined as dataclasses in `core/schema/models/` and generated via `modelgen`:
 - **Django ORM** models (`--include dataclasses,enums`)
 - **Pydantic** schemas (`--include dataclasses,enums`)
 - **TypeScript** types (`--include dataclasses,enums,api`)
@@ -113,26 +113,29 @@ See [docs/media-storage.md](docs/media-storage.md) for full details.

 ```
 mpr/
-├── api/                 # FastAPI application
-│   ├── routes/          # API endpoints
-│   └── schemas/         # Pydantic models (generated)
-├── core/                # Core utilities
-│   └── ffmpeg/          # FFmpeg wrappers
+├── admin/               # Django project
+│   ├── manage.py        # Django management script
+│   └── mpr/             # Django settings & app
+│       └── media_assets/# Django app
+├── core/                # Core application logic
+│   ├── api/             # FastAPI + GraphQL API
+│   │   └── schema/      # GraphQL types (generated)
+│   ├── ffmpeg/          # FFmpeg wrappers
+│   ├── rpc/             # gRPC server & client
+│   │   └── protos/      # Protobuf definitions (generated)
+│   ├── schema/          # Source of truth
+│   │   └── models/      # Dataclass definitions
+│   ├── storage/         # S3/GCP/local storage backends
+│   └── task/            # Celery job execution
+│       ├── executor.py  # Executor abstraction
+│       └── tasks.py     # Celery tasks
 ├── ctrl/                # Docker & deployment
 │   ├── docker-compose.yml
 │   └── nginx.conf
 ├── media/
 │   ├── in/              # Source media files
 │   └── out/             # Transcoded output
-├── rpc/                 # gRPC server & client
-│   └── protos/          # Protobuf definitions (generated)
-├── mpr/                 # Django project
-│   └── media_assets/    # Django app
-├── schema/              # Source of truth
-│   └── models/          # Dataclass definitions
-├── task/                # Celery job execution
-│   ├── executor.py      # Executor abstraction
-│   └── tasks.py         # Celery tasks
+├── modelgen/            # Code generation tool
 └── ui/                  # Frontend
    └── timeline/        # React app
 ```
--- a/mpr/media_assets/init.py
+++ b/mpr/media_assets/init.py
--- a/admin/manage.py
+++ b/admin/manage.py
@@ -6,7 +6,9 @@ import sys

 def main():
    """Run administrative tasks."""
-    os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'mpr.settings')
+    # Ensure project root is on sys.path
+    sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+    os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'admin.mpr.settings')
    try:
        from django.core.management import execute_from_command_line
    except ImportError as exc:
--- a/admin/mpr/init.py
+++ b/admin/mpr/init.py
--- a/admin/mpr/asgi.py
+++ b/admin/mpr/asgi.py
@@ -11,6 +11,6 @@ import os

 from django.core.asgi import get_asgi_application

-os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'mpr.settings')
+os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'admin.mpr.settings')

 application = get_asgi_application()
--- a/admin/mpr/celery.py
+++ b/admin/mpr/celery.py
@@ -2,9 +2,9 @@ import os

 from celery import Celery

-os.environ.setdefault("DJANGO_SETTINGS_MODULE", "mpr.settings")
+os.environ.setdefault("DJANGO_SETTINGS_MODULE", "admin.mpr.settings")

 app = Celery("mpr")
 app.config_from_object("django.conf:settings", namespace="CELERY")
 app.autodiscover_tasks()
-app.autodiscover_tasks(["task"])
+app.autodiscover_tasks(["core.task"])
--- a/mpr/media_assets/management/init.py
+++ b/mpr/media_assets/management/init.py
--- a/admin/mpr/media_assets/admin.py
+++ b/admin/mpr/media_assets/admin.py
--- a/admin/mpr/media_assets/apps.py
+++ b/admin/mpr/media_assets/apps.py
@@ -3,5 +3,6 @@ from django.apps import AppConfig

 class MediaAssetsConfig(AppConfig):
    default_auto_field = "django.db.models.BigAutoField"
-    name = "mpr.media_assets"
+    name = "admin.mpr.media_assets"
+    label = "media_assets"
    verbose_name = "Media Assets"
--- a/mpr/media_assets/management/commands/init.py
+++ b/mpr/media_assets/management/commands/init.py
--- a/admin/mpr/media_assets/management/commands/init.py
+++ b/admin/mpr/media_assets/management/commands/init.py
--- a/admin/mpr/media_assets/management/commands/loadbuiltins.py
+++ b/admin/mpr/media_assets/management/commands/loadbuiltins.py
@@ -4,10 +4,10 @@ from pathlib import Path

 from django.core.management.base import BaseCommand

-from mpr.media_assets.models import TranscodePreset
+from admin.mpr.media_assets.models import TranscodePreset

-sys.path.insert(0, str(Path(__file__).resolve().parent.parent.parent.parent.parent))
-from schema.models import BUILTIN_PRESETS
+sys.path.insert(0, str(Path(__file__).resolve().parent.parent.parent.parent.parent.parent))
+from core.schema.models import BUILTIN_PRESETS


 class Command(BaseCommand):
--- a/admin/mpr/media_assets/migrations/0001_initial.py
+++ b/admin/mpr/media_assets/migrations/0001_initial.py
@@ -1,8 +1,7 @@
-# Generated by Django 6.0.1 on 2026-02-01 15:13
+# Generated by Django 4.2.29 on 2026-03-13 04:04

-import django.db.models.deletion
-import uuid
 from django.db import migrations, models
+import uuid


 class Migration(migrations.Migration):
@@ -13,47 +12,21 @@ class Migration(migrations.Migration):
    ]

    operations = [
-        migrations.CreateModel(
-            name='TranscodePreset',
-            fields=[
-                ('id', models.UUIDField(default=uuid.uuid4, editable=False, primary_key=True, serialize=False)),
-                ('name', models.CharField(max_length=100, unique=True)),
-                ('description', models.TextField(blank=True, default='')),
-                ('is_builtin', models.BooleanField(default=False)),
-                ('container', models.CharField(default='mp4', max_length=20)),
-                ('video_codec', models.CharField(default='libx264', max_length=50)),
-                ('video_bitrate', models.CharField(blank=True, max_length=20, null=True)),
-                ('video_crf', models.IntegerField(blank=True, null=True)),
-                ('video_preset', models.CharField(blank=True, max_length=20, null=True)),
-                ('resolution', models.CharField(blank=True, max_length=20, null=True)),
-                ('framerate', models.FloatField(blank=True, null=True)),
-                ('audio_codec', models.CharField(default='aac', max_length=50)),
-                ('audio_bitrate', models.CharField(blank=True, max_length=20, null=True)),
-                ('audio_channels', models.IntegerField(blank=True, null=True)),
-                ('audio_samplerate', models.IntegerField(blank=True, null=True)),
-                ('extra_args', models.JSONField(blank=True, default=list)),
-                ('created_at', models.DateTimeField(auto_now_add=True)),
-                ('updated_at', models.DateTimeField(auto_now=True)),
-            ],
-            options={
-                'ordering': ['name'],
-            },
-        ),
        migrations.CreateModel(
            name='MediaAsset',
            fields=[
                ('id', models.UUIDField(default=uuid.uuid4, editable=False, primary_key=True, serialize=False)),
                ('filename', models.CharField(max_length=500)),
                ('file_path', models.CharField(max_length=1000)),
-                ('status', models.CharField(choices=[('pending', 'Pending Probe'), ('ready', 'Ready'), ('error', 'Error')], default='pending', max_length=20)),
-                ('error_message', models.TextField(blank=True, null=True)),
+                ('status', models.CharField(choices=[('pending', 'Pending'), ('ready', 'Ready'), ('error', 'Error')], default='pending', max_length=20)),
+                ('error_message', models.TextField(blank=True, default='')),
                ('file_size', models.BigIntegerField(blank=True, null=True)),
-                ('duration', models.FloatField(blank=True, null=True)),
-                ('video_codec', models.CharField(blank=True, max_length=50, null=True)),
-                ('audio_codec', models.CharField(blank=True, max_length=50, null=True)),
-                ('width', models.IntegerField(blank=True, null=True)),
-                ('height', models.IntegerField(blank=True, null=True)),
-                ('framerate', models.FloatField(blank=True, null=True)),
+                ('duration', models.FloatField(blank=True, default=None, null=True)),
+                ('video_codec', models.CharField(blank=True, max_length=255, null=True)),
+                ('audio_codec', models.CharField(blank=True, max_length=255, null=True)),
+                ('width', models.IntegerField(blank=True, default=None, null=True)),
+                ('height', models.IntegerField(blank=True, default=None, null=True)),
+                ('framerate', models.FloatField(blank=True, default=None, null=True)),
                ('bitrate', models.BigIntegerField(blank=True, null=True)),
                ('properties', models.JSONField(blank=True, default=dict)),
                ('comments', models.TextField(blank=True, default='')),
@@ -63,36 +36,61 @@ class Migration(migrations.Migration):
            ],
            options={
                'ordering': ['-created_at'],
-                'indexes': [models.Index(fields=['status'], name='media_asset_status_9ea2f2_idx'), models.Index(fields=['created_at'], name='media_asset_created_368039_idx')],
            },
        ),
        migrations.CreateModel(
            name='TranscodeJob',
            fields=[
                ('id', models.UUIDField(default=uuid.uuid4, editable=False, primary_key=True, serialize=False)),
+                ('source_asset_id', models.UUIDField()),
+                ('preset_id', models.UUIDField(blank=True, null=True)),
                ('preset_snapshot', models.JSONField(blank=True, default=dict)),
-                ('trim_start', models.FloatField(blank=True, null=True)),
-                ('trim_end', models.FloatField(blank=True, null=True)),
+                ('trim_start', models.FloatField(blank=True, default=None, null=True)),
+                ('trim_end', models.FloatField(blank=True, default=None, null=True)),
                ('output_filename', models.CharField(max_length=500)),
                ('output_path', models.CharField(blank=True, max_length=1000, null=True)),
+                ('output_asset_id', models.UUIDField(blank=True, null=True)),
                ('status', models.CharField(choices=[('pending', 'Pending'), ('processing', 'Processing'), ('completed', 'Completed'), ('failed', 'Failed'), ('cancelled', 'Cancelled')], default='pending', max_length=20)),
                ('progress', models.FloatField(default=0.0)),
-                ('current_frame', models.IntegerField(blank=True, null=True)),
-                ('current_time', models.FloatField(blank=True, null=True)),
-                ('speed', models.CharField(blank=True, max_length=20, null=True)),
-                ('error_message', models.TextField(blank=True, null=True)),
-                ('celery_task_id', models.CharField(blank=True, max_length=100, null=True)),
+                ('current_frame', models.IntegerField(blank=True, default=None, null=True)),
+                ('current_time', models.FloatField(blank=True, default=None, null=True)),
+                ('speed', models.CharField(blank=True, max_length=255, null=True)),
+                ('error_message', models.TextField(blank=True, default='')),
+                ('celery_task_id', models.CharField(blank=True, max_length=255, null=True)),
+                ('execution_arn', models.CharField(blank=True, max_length=255, null=True)),
                ('priority', models.IntegerField(default=0)),
                ('created_at', models.DateTimeField(auto_now_add=True)),
                ('started_at', models.DateTimeField(blank=True, null=True)),
                ('completed_at', models.DateTimeField(blank=True, null=True)),
-                ('output_asset', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='source_jobs', to='media_assets.mediaasset')),
-                ('source_asset', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='transcode_jobs', to='media_assets.mediaasset')),
-                ('preset', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='jobs', to='media_assets.transcodepreset')),
            ],
            options={
-                'ordering': ['priority', 'created_at'],
-                'indexes': [models.Index(fields=['status', 'priority'], name='media_asset_status_e6ac18_idx'), models.Index(fields=['created_at'], name='media_asset_created_ba3a46_idx'), models.Index(fields=['celery_task_id'], name='media_asset_celery__81a88e_idx')],
+                'ordering': ['-created_at'],
+            },
+        ),
+        migrations.CreateModel(
+            name='TranscodePreset',
+            fields=[
+                ('id', models.UUIDField(default=uuid.uuid4, editable=False, primary_key=True, serialize=False)),
+                ('name', models.CharField(max_length=255)),
+                ('description', models.TextField(blank=True, default='')),
+                ('is_builtin', models.BooleanField(default=False)),
+                ('container', models.CharField(max_length=255)),
+                ('video_codec', models.CharField(max_length=255)),
+                ('video_bitrate', models.CharField(blank=True, max_length=255, null=True)),
+                ('video_crf', models.IntegerField(blank=True, default=None, null=True)),
+                ('video_preset', models.CharField(blank=True, max_length=255, null=True)),
+                ('resolution', models.CharField(blank=True, max_length=255, null=True)),
+                ('framerate', models.FloatField(blank=True, default=None, null=True)),
+                ('audio_codec', models.CharField(max_length=255)),
+                ('audio_bitrate', models.CharField(blank=True, max_length=255, null=True)),
+                ('audio_channels', models.IntegerField(blank=True, default=None, null=True)),
+                ('audio_samplerate', models.IntegerField(blank=True, default=None, null=True)),
+                ('extra_args', models.JSONField(blank=True, default=list)),
+                ('created_at', models.DateTimeField(auto_now_add=True)),
+                ('updated_at', models.DateTimeField(auto_now=True)),
+            ],
+            options={
+                'ordering': ['-created_at'],
            },
        ),
    ]
--- a/admin/mpr/media_assets/migrations/init.py
+++ b/admin/mpr/media_assets/migrations/init.py
--- a/admin/mpr/media_assets/models.py
+++ b/admin/mpr/media_assets/models.py
--- a/admin/mpr/media_assets/tests.py
+++ b/admin/mpr/media_assets/tests.py
--- a/admin/mpr/media_assets/views.py
+++ b/admin/mpr/media_assets/views.py
--- a/admin/mpr/settings.py
+++ b/admin/mpr/settings.py
@@ -7,7 +7,7 @@ from pathlib import Path

 import environ

-BASE_DIR = Path(__file__).resolve().parent.parent
+BASE_DIR = Path(__file__).resolve().parent.parent.parent

 env = environ.Env(
    DEBUG=(bool, False),
@@ -27,7 +27,7 @@ INSTALLED_APPS = [
    "django.contrib.sessions",
    "django.contrib.messages",
    "django.contrib.staticfiles",
-    "mpr.media_assets",
+    "admin.mpr.media_assets",
 ]

 MIDDLEWARE = [
@@ -40,7 +40,7 @@ MIDDLEWARE = [
    "django.middleware.clickjacking.XFrameOptionsMiddleware",
 ]

-ROOT_URLCONF = "mpr.urls"
+ROOT_URLCONF = "admin.mpr.urls"

 TEMPLATES = [
    {
@@ -57,7 +57,7 @@ TEMPLATES = [
    },
 ]

-WSGI_APPLICATION = "mpr.wsgi.application"
+WSGI_APPLICATION = "admin.mpr.wsgi.application"

 # Database
 DATABASE_URL = env("DATABASE_URL", default="sqlite:///db.sqlite3")
--- a/admin/mpr/urls.py
+++ b/admin/mpr/urls.py
--- a/admin/mpr/wsgi.py
+++ b/admin/mpr/wsgi.py
@@ -11,6 +11,6 @@ import os

 from django.core.wsgi import get_wsgi_application

-os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'mpr.settings')
+os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'admin.mpr.settings')

 application = get_wsgi_application()
--- a/api/graphql.py
+++ b/api/graphql.py
@@ -1,326 +0,0 @@
-"""
-GraphQL API using graphene, mounted on FastAPI/Starlette.
-
-Primary API for MPR — all client interactions go through GraphQL.
-Uses Django ORM directly for data access.
-Types are generated from schema/ via modelgen — see api/schema/graphql.py.
-"""
-
-import os
-
-import graphene
-
-from api.schema.graphql import (
-    CreateJobInput,
-    DeleteResultType,
-    MediaAssetType,
-    ScanResultType,
-    SystemStatusType,
-    TranscodeJobType,
-    TranscodePresetType,
-    UpdateAssetInput,
-)
-from core.storage import BUCKET_IN, list_objects
-
-# Media extensions (same as assets route)
-VIDEO_EXTS = {".mp4", ".mkv", ".avi", ".mov", ".webm", ".flv", ".wmv", ".m4v"}
-AUDIO_EXTS = {".mp3", ".wav", ".flac", ".aac", ".ogg", ".m4a"}
-MEDIA_EXTS = VIDEO_EXTS | AUDIO_EXTS
-
-
-# ---------------------------------------------------------------------------
-# Queries
-# ---------------------------------------------------------------------------
-
-
-class Query(graphene.ObjectType):
-    assets = graphene.List(
-        MediaAssetType,
-        status=graphene.String(),
-        search=graphene.String(),
-    )
-    asset = graphene.Field(MediaAssetType, id=graphene.UUID(required=True))
-    jobs = graphene.List(
-        TranscodeJobType,
-        status=graphene.String(),
-        source_asset_id=graphene.UUID(),
-    )
-    job = graphene.Field(TranscodeJobType, id=graphene.UUID(required=True))
-    presets = graphene.List(TranscodePresetType)
-    system_status = graphene.Field(SystemStatusType)
-
-    def resolve_assets(self, info, status=None, search=None):
-        from mpr.media_assets.models import MediaAsset
-
-        qs = MediaAsset.objects.all()
-        if status:
-            qs = qs.filter(status=status)
-        if search:
-            qs = qs.filter(filename__icontains=search)
-        return qs
-
-    def resolve_asset(self, info, id):
-        from mpr.media_assets.models import MediaAsset
-
-        try:
-            return MediaAsset.objects.get(id=id)
-        except MediaAsset.DoesNotExist:
-            return None
-
-    def resolve_jobs(self, info, status=None, source_asset_id=None):
-        from mpr.media_assets.models import TranscodeJob
-
-        qs = TranscodeJob.objects.all()
-        if status:
-            qs = qs.filter(status=status)
-        if source_asset_id:
-            qs = qs.filter(source_asset_id=source_asset_id)
-        return qs
-
-    def resolve_job(self, info, id):
-        from mpr.media_assets.models import TranscodeJob
-
-        try:
-            return TranscodeJob.objects.get(id=id)
-        except TranscodeJob.DoesNotExist:
-            return None
-
-    def resolve_presets(self, info):
-        from mpr.media_assets.models import TranscodePreset
-
-        return TranscodePreset.objects.all()
-
-    def resolve_system_status(self, info):
-        return {"status": "ok", "version": "0.1.0"}
-
-
-# ---------------------------------------------------------------------------
-# Mutations
-# ---------------------------------------------------------------------------
-
-
-class ScanMediaFolder(graphene.Mutation):
-    class Arguments:
-        pass
-
-    Output = ScanResultType
-
-    def mutate(self, info):
-        from mpr.media_assets.models import MediaAsset
-
-        objects = list_objects(BUCKET_IN, extensions=MEDIA_EXTS)
-        existing = set(MediaAsset.objects.values_list("filename", flat=True))
-
-        registered = []
-        skipped = []
-
-        for obj in objects:
-            if obj["filename"] in existing:
-                skipped.append(obj["filename"])
-                continue
-            try:
-                MediaAsset.objects.create(
-                    filename=obj["filename"],
-                    file_path=obj["key"],
-                    file_size=obj["size"],
-                )
-                registered.append(obj["filename"])
-            except Exception:
-                pass
-
-        return ScanResultType(
-            found=len(objects),
-            registered=len(registered),
-            skipped=len(skipped),
-            files=registered,
-        )
-
-
-class CreateJob(graphene.Mutation):
-    class Arguments:
-        input = CreateJobInput(required=True)
-
-    Output = TranscodeJobType
-
-    def mutate(self, info, input):
-        from pathlib import Path
-
-        from mpr.media_assets.models import MediaAsset, TranscodeJob, TranscodePreset
-
-        try:
-            source = MediaAsset.objects.get(id=input.source_asset_id)
-        except MediaAsset.DoesNotExist:
-            raise Exception("Source asset not found")
-
-        preset = None
-        preset_snapshot = {}
-        if input.preset_id:
-            try:
-                preset = TranscodePreset.objects.get(id=input.preset_id)
-                preset_snapshot = {
-                    "name": preset.name,
-                    "container": preset.container,
-                    "video_codec": preset.video_codec,
-                    "audio_codec": preset.audio_codec,
-                }
-            except TranscodePreset.DoesNotExist:
-                raise Exception("Preset not found")
-
-        if not preset and not input.trim_start and not input.trim_end:
-            raise Exception("Must specify preset_id or trim_start/trim_end")
-
-        output_filename = input.output_filename
-        if not output_filename:
-            stem = Path(source.filename).stem
-            ext = preset_snapshot.get("container", "mp4") if preset else "mp4"
-            output_filename = f"{stem}_output.{ext}"
-
-        job = TranscodeJob.objects.create(
-            source_asset_id=source.id,
-            preset_id=preset.id if preset else None,
-            preset_snapshot=preset_snapshot,
-            trim_start=input.trim_start,
-            trim_end=input.trim_end,
-            output_filename=output_filename,
-            output_path=output_filename,
-            priority=input.priority or 0,
-        )
-
-        # Dispatch
-        executor_mode = os.environ.get("MPR_EXECUTOR", "local")
-        if executor_mode == "lambda":
-            from task.executor import get_executor
-
-            get_executor().run(
-                job_id=str(job.id),
-                source_path=source.file_path,
-                output_path=output_filename,
-                preset=preset_snapshot or None,
-                trim_start=input.trim_start,
-                trim_end=input.trim_end,
-                duration=source.duration,
-            )
-        else:
-            from task.tasks import run_transcode_job
-
-            result = run_transcode_job.delay(
-                job_id=str(job.id),
-                source_key=source.file_path,
-                output_key=output_filename,
-                preset=preset_snapshot or None,
-                trim_start=input.trim_start,
-                trim_end=input.trim_end,
-                duration=source.duration,
-            )
-            job.celery_task_id = result.id
-            job.save(update_fields=["celery_task_id"])
-
-        return job
-
-
-class CancelJob(graphene.Mutation):
-    class Arguments:
-        id = graphene.UUID(required=True)
-
-    Output = TranscodeJobType
-
-    def mutate(self, info, id):
-        from mpr.media_assets.models import TranscodeJob
-
-        try:
-            job = TranscodeJob.objects.get(id=id)
-        except TranscodeJob.DoesNotExist:
-            raise Exception("Job not found")
-
-        if job.status not in ("pending", "processing"):
-            raise Exception(f"Cannot cancel job with status: {job.status}")
-
-        job.status = "cancelled"
-        job.save(update_fields=["status"])
-        return job
-
-
-class RetryJob(graphene.Mutation):
-    class Arguments:
-        id = graphene.UUID(required=True)
-
-    Output = TranscodeJobType
-
-    def mutate(self, info, id):
-        from mpr.media_assets.models import TranscodeJob
-
-        try:
-            job = TranscodeJob.objects.get(id=id)
-        except TranscodeJob.DoesNotExist:
-            raise Exception("Job not found")
-
-        if job.status != "failed":
-            raise Exception("Only failed jobs can be retried")
-
-        job.status = "pending"
-        job.progress = 0
-        job.error_message = None
-        job.save(update_fields=["status", "progress", "error_message"])
-        return job
-
-
-class UpdateAsset(graphene.Mutation):
-    class Arguments:
-        id = graphene.UUID(required=True)
-        input = UpdateAssetInput(required=True)
-
-    Output = MediaAssetType
-
-    def mutate(self, info, id, input):
-        from mpr.media_assets.models import MediaAsset
-
-        try:
-            asset = MediaAsset.objects.get(id=id)
-        except MediaAsset.DoesNotExist:
-            raise Exception("Asset not found")
-
-        update_fields = []
-        if input.comments is not None:
-            asset.comments = input.comments
-            update_fields.append("comments")
-        if input.tags is not None:
-            asset.tags = input.tags
-            update_fields.append("tags")
-
-        if update_fields:
-            asset.save(update_fields=update_fields)
-
-        return asset
-
-
-class DeleteAsset(graphene.Mutation):
-    class Arguments:
-        id = graphene.UUID(required=True)
-
-    Output = DeleteResultType
-
-    def mutate(self, info, id):
-        from mpr.media_assets.models import MediaAsset
-
-        try:
-            asset = MediaAsset.objects.get(id=id)
-            asset.delete()
-            return DeleteResultType(ok=True)
-        except MediaAsset.DoesNotExist:
-            raise Exception("Asset not found")
-
-
-class Mutation(graphene.ObjectType):
-    scan_media_folder = ScanMediaFolder.Field()
-    create_job = CreateJob.Field()
-    cancel_job = CancelJob.Field()
-    retry_job = RetryJob.Field()
-    update_asset = UpdateAsset.Field()
-    delete_asset = DeleteAsset.Field()
-
-
-# ---------------------------------------------------------------------------
-# Schema
-# ---------------------------------------------------------------------------
-
-schema = graphene.Schema(query=Query, mutation=Mutation)
--- a/api/schema/graphql.py
+++ b/api/schema/graphql.py
@@ -1,142 +0,0 @@
-"""
-Graphene Types - GENERATED FILE
-
-Do not edit directly. Regenerate using modelgen.
-"""
-
-import graphene
-
-
-class AssetStatus(graphene.Enum):
-    PENDING = "pending"
-    READY = "ready"
-    ERROR = "error"
-
-
-class JobStatus(graphene.Enum):
-    PENDING = "pending"
-    PROCESSING = "processing"
-    COMPLETED = "completed"
-    FAILED = "failed"
-    CANCELLED = "cancelled"
-
-
-class MediaAssetType(graphene.ObjectType):
-    """A video/audio file registered in the system."""
-
-    id = graphene.UUID()
-    filename = graphene.String()
-    file_path = graphene.String()
-    status = graphene.String()
-    error_message = graphene.String()
-    file_size = graphene.Int()
-    duration = graphene.Float()
-    video_codec = graphene.String()
-    audio_codec = graphene.String()
-    width = graphene.Int()
-    height = graphene.Int()
-    framerate = graphene.Float()
-    bitrate = graphene.Int()
-    properties = graphene.JSONString()
-    comments = graphene.String()
-    tags = graphene.List(graphene.String)
-    created_at = graphene.DateTime()
-    updated_at = graphene.DateTime()
-
-
-class TranscodePresetType(graphene.ObjectType):
-    """A reusable transcoding configuration (like Handbrake presets)."""
-
-    id = graphene.UUID()
-    name = graphene.String()
-    description = graphene.String()
-    is_builtin = graphene.Boolean()
-    container = graphene.String()
-    video_codec = graphene.String()
-    video_bitrate = graphene.String()
-    video_crf = graphene.Int()
-    video_preset = graphene.String()
-    resolution = graphene.String()
-    framerate = graphene.Float()
-    audio_codec = graphene.String()
-    audio_bitrate = graphene.String()
-    audio_channels = graphene.Int()
-    audio_samplerate = graphene.Int()
-    extra_args = graphene.List(graphene.String)
-    created_at = graphene.DateTime()
-    updated_at = graphene.DateTime()
-
-
-class TranscodeJobType(graphene.ObjectType):
-    """A transcoding or trimming job in the queue."""
-
-    id = graphene.UUID()
-    source_asset_id = graphene.UUID()
-    preset_id = graphene.UUID()
-    preset_snapshot = graphene.JSONString()
-    trim_start = graphene.Float()
-    trim_end = graphene.Float()
-    output_filename = graphene.String()
-    output_path = graphene.String()
-    output_asset_id = graphene.UUID()
-    status = graphene.String()
-    progress = graphene.Float()
-    current_frame = graphene.Int()
-    current_time = graphene.Float()
-    speed = graphene.String()
-    error_message = graphene.String()
-    celery_task_id = graphene.String()
-    execution_arn = graphene.String()
-    priority = graphene.Int()
-    created_at = graphene.DateTime()
-    started_at = graphene.DateTime()
-    completed_at = graphene.DateTime()
-
-
-class CreateJobInput(graphene.InputObjectType):
-    """Request body for creating a transcode/trim job."""
-
-    source_asset_id = graphene.UUID(required=True)
-    preset_id = graphene.UUID()
-    trim_start = graphene.Float()
-    trim_end = graphene.Float()
-    output_filename = graphene.String()
-    priority = graphene.Int(default_value=0)
-
-
-class UpdateAssetInput(graphene.InputObjectType):
-    """Request body for updating asset metadata."""
-
-    comments = graphene.String()
-    tags = graphene.List(graphene.String)
-
-
-class SystemStatusType(graphene.ObjectType):
-    """System status response."""
-
-    status = graphene.String()
-    version = graphene.String()
-
-
-class ScanResultType(graphene.ObjectType):
-    """Result of scanning the media input bucket."""
-
-    found = graphene.Int()
-    registered = graphene.Int()
-    skipped = graphene.Int()
-    files = graphene.List(graphene.String)
-
-
-class DeleteResultType(graphene.ObjectType):
-    """Result of a delete operation."""
-
-    ok = graphene.Boolean()
-
-
-class WorkerStatusType(graphene.ObjectType):
-    """Worker health and capabilities."""
-
-    available = graphene.Boolean()
-    active_jobs = graphene.Int()
-    supported_codecs = graphene.List(graphene.String)
-    gpu_available = graphene.Boolean()
--- a/core/api/graphql.py
+++ b/core/api/graphql.py
@@ -0,0 +1,273 @@
+"""
+GraphQL API using strawberry, served via FastAPI.
+
+Primary API for MPR — all client interactions go through GraphQL.
+Uses core.db for data access.
+Types are generated from schema/ via modelgen — see api/schema/graphql.py.
+"""
+
+import os
+from typing import List, Optional
+from uuid import UUID
+
+import strawberry
+from strawberry.schema.config import StrawberryConfig
+from strawberry.types import Info
+
+from core.api.schema.graphql import (
+    CreateJobInput,
+    DeleteResultType,
+    MediaAssetType,
+    ScanResultType,
+    SystemStatusType,
+    TranscodeJobType,
+    TranscodePresetType,
+    UpdateAssetInput,
+)
+from core.storage import BUCKET_IN, list_objects
+
+VIDEO_EXTS = {".mp4", ".mkv", ".avi", ".mov", ".webm", ".flv", ".wmv", ".m4v"}
+AUDIO_EXTS = {".mp3", ".wav", ".flac", ".aac", ".ogg", ".m4a"}
+MEDIA_EXTS = VIDEO_EXTS | AUDIO_EXTS
+
+
+# ---------------------------------------------------------------------------
+# Queries
+# ---------------------------------------------------------------------------
+
+
+@strawberry.type
+class Query:
+    @strawberry.field
+    def assets(
+        self,
+        info: Info,
+        status: Optional[str] = None,
+        search: Optional[str] = None,
+    ) -> List[MediaAssetType]:
+        from core.db import list_assets
+
+        return list_assets(status=status, search=search)
+
+    @strawberry.field
+    def asset(self, info: Info, id: UUID) -> Optional[MediaAssetType]:
+        from core.db import get_asset
+
+        try:
+            return get_asset(id)
+        except Exception:
+            return None
+
+    @strawberry.field
+    def jobs(
+        self,
+        info: Info,
+        status: Optional[str] = None,
+        source_asset_id: Optional[UUID] = None,
+    ) -> List[TranscodeJobType]:
+        from core.db import list_jobs
+
+        return list_jobs(status=status, source_asset_id=source_asset_id)
+
+    @strawberry.field
+    def job(self, info: Info, id: UUID) -> Optional[TranscodeJobType]:
+        from core.db import get_job
+
+        try:
+            return get_job(id)
+        except Exception:
+            return None
+
+    @strawberry.field
+    def presets(self, info: Info) -> List[TranscodePresetType]:
+        from core.db import list_presets
+
+        return list_presets()
+
+    @strawberry.field
+    def system_status(self, info: Info) -> SystemStatusType:
+        return SystemStatusType(status="ok", version="0.1.0")
+
+
+# ---------------------------------------------------------------------------
+# Mutations
+# ---------------------------------------------------------------------------
+
+
+@strawberry.type
+class Mutation:
+    @strawberry.mutation
+    def scan_media_folder(self, info: Info) -> ScanResultType:
+        from core.db import create_asset, get_asset_filenames
+
+        objects = list_objects(BUCKET_IN, extensions=MEDIA_EXTS)
+        existing = get_asset_filenames()
+
+        registered = []
+        skipped = []
+
+        for obj in objects:
+            if obj["filename"] in existing:
+                skipped.append(obj["filename"])
+                continue
+            try:
+                create_asset(
+                    filename=obj["filename"],
+                    file_path=obj["key"],
+                    file_size=obj["size"],
+                )
+                registered.append(obj["filename"])
+            except Exception:
+                pass
+
+        return ScanResultType(
+            found=len(objects),
+            registered=len(registered),
+            skipped=len(skipped),
+            files=registered,
+        )
+
+    @strawberry.mutation
+    def create_job(self, info: Info, input: CreateJobInput) -> TranscodeJobType:
+        from pathlib import Path
+
+        from core.db import create_job, get_asset, get_preset
+
+        try:
+            source = get_asset(input.source_asset_id)
+        except Exception:
+            raise Exception("Source asset not found")
+
+        preset = None
+        preset_snapshot = {}
+        if input.preset_id:
+            try:
+                preset = get_preset(input.preset_id)
+                preset_snapshot = {
+                    "name": preset.name,
+                    "container": preset.container,
+                    "video_codec": preset.video_codec,
+                    "audio_codec": preset.audio_codec,
+                }
+            except Exception:
+                raise Exception("Preset not found")
+
+        if not preset and not input.trim_start and not input.trim_end:
+            raise Exception("Must specify preset_id or trim_start/trim_end")
+
+        output_filename = input.output_filename
+        if not output_filename:
+            stem = Path(source.filename).stem
+            ext = preset_snapshot.get("container", "mp4") if preset else "mp4"
+            output_filename = f"{stem}_output.{ext}"
+
+        job = create_job(
+            source_asset_id=source.id,
+            preset_id=preset.id if preset else None,
+            preset_snapshot=preset_snapshot,
+            trim_start=input.trim_start,
+            trim_end=input.trim_end,
+            output_filename=output_filename,
+            output_path=output_filename,
+            priority=input.priority or 0,
+        )
+
+        executor_mode = os.environ.get("MPR_EXECUTOR", "local")
+        if executor_mode in ("lambda", "gcp"):
+            from core.task.executor import get_executor
+
+            get_executor().run(
+                job_id=str(job.id),
+                source_path=source.file_path,
+                output_path=output_filename,
+                preset=preset_snapshot or None,
+                trim_start=input.trim_start,
+                trim_end=input.trim_end,
+                duration=source.duration,
+            )
+        else:
+            from core.task.tasks import run_transcode_job
+
+            result = run_transcode_job.delay(
+                job_id=str(job.id),
+                source_key=source.file_path,
+                output_key=output_filename,
+                preset=preset_snapshot or None,
+                trim_start=input.trim_start,
+                trim_end=input.trim_end,
+                duration=source.duration,
+            )
+            job.celery_task_id = result.id
+            job.save(update_fields=["celery_task_id"])
+
+        return job
+
+    @strawberry.mutation
+    def cancel_job(self, info: Info, id: UUID) -> TranscodeJobType:
+        from core.db import get_job, update_job
+
+        try:
+            job = get_job(id)
+        except Exception:
+            raise Exception("Job not found")
+
+        if job.status not in ("pending", "processing"):
+            raise Exception(f"Cannot cancel job with status: {job.status}")
+
+        return update_job(job, status="cancelled")
+
+    @strawberry.mutation
+    def retry_job(self, info: Info, id: UUID) -> TranscodeJobType:
+        from core.db import get_job, update_job
+
+        try:
+            job = get_job(id)
+        except Exception:
+            raise Exception("Job not found")
+
+        if job.status != "failed":
+            raise Exception("Only failed jobs can be retried")
+
+        return update_job(job, status="pending", progress=0, error_message=None)
+
+    @strawberry.mutation
+    def update_asset(self, info: Info, id: UUID, input: UpdateAssetInput) -> MediaAssetType:
+        from core.db import get_asset, update_asset
+
+        try:
+            asset = get_asset(id)
+        except Exception:
+            raise Exception("Asset not found")
+
+        fields = {}
+        if input.comments is not None:
+            fields["comments"] = input.comments
+        if input.tags is not None:
+            fields["tags"] = input.tags
+
+        if fields:
+            asset = update_asset(asset, **fields)
+
+        return asset
+
+    @strawberry.mutation
+    def delete_asset(self, info: Info, id: UUID) -> DeleteResultType:
+        from core.db import delete_asset, get_asset
+
+        try:
+            asset = get_asset(id)
+            delete_asset(asset)
+            return DeleteResultType(ok=True)
+        except Exception:
+            raise Exception("Asset not found")
+
+
+# ---------------------------------------------------------------------------
+# Schema
+# ---------------------------------------------------------------------------
+
+schema = strawberry.Schema(
+    query=Query,
+    mutation=Mutation,
+    config=StrawberryConfig(auto_camel_case=False),
+)
--- a/core/api/main.py
+++ b/core/api/main.py
@@ -10,10 +10,10 @@ from typing import Optional
 from uuid import UUID

 # Add project root to path
-sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))))

 # Initialize Django before importing models
-os.environ.setdefault("DJANGO_SETTINGS_MODULE", "mpr.settings")
+os.environ.setdefault("DJANGO_SETTINGS_MODULE", "admin.mpr.settings")

 import django

@@ -21,9 +21,9 @@ django.setup()

 from fastapi import FastAPI, Header, HTTPException
 from fastapi.middleware.cors import CORSMiddleware
-from starlette_graphene3 import GraphQLApp, make_graphiql_handler
+from strawberry.fastapi import GraphQLRouter

-from api.graphql import schema as graphql_schema
+from core.api.graphql import schema as graphql_schema

 CALLBACK_API_KEY = os.environ.get("CALLBACK_API_KEY", "")

@@ -45,7 +45,8 @@ app.add_middleware(
 )

 # GraphQL
-app.mount("/graphql", GraphQLApp(schema=graphql_schema, on_get=make_graphiql_handler()))
+graphql_router = GraphQLRouter(schema=graphql_schema, graphql_ide="graphiql")
+app.include_router(graphql_router, prefix="/graphql")


@app.get("/")
@@ -73,26 +74,25 @@ def job_callback(

    from django.utils import timezone

-    from mpr.media_assets.models import TranscodeJob
+    from core.db import get_job, update_job

    try:
-        job = TranscodeJob.objects.get(id=job_id)
-    except TranscodeJob.DoesNotExist:
+        job = get_job(job_id)
+    except Exception:
        raise HTTPException(status_code=404, detail="Job not found")

    status = payload.get("status", "failed")
-    job.status = status
-    job.progress = 100.0 if status == "completed" else job.progress
-    update_fields = ["status", "progress"]
+    fields = {
+        "status": status,
+        "progress": 100.0 if status == "completed" else job.progress,
+    }

    if payload.get("error"):
-        job.error_message = payload["error"]
-        update_fields.append("error_message")
+        fields["error_message"] = payload["error"]

    if status in ("completed", "failed"):
-        job.completed_at = timezone.now()
-        update_fields.append("completed_at")
+        fields["completed_at"] = timezone.now()

-    job.save(update_fields=update_fields)
+    update_job(job, **fields)

    return {"ok": True}
--- a/core/api/schema/graphql.py
+++ b/core/api/schema/graphql.py
@@ -0,0 +1,158 @@
+"""
+Strawberry Types - GENERATED FILE
+
+Do not edit directly. Regenerate using modelgen.
+"""
+
+import strawberry
+from enum import Enum
+from typing import List, Optional
+from uuid import UUID
+from datetime import datetime
+from strawberry.scalars import JSON
+
+
+@strawberry.enum
+class AssetStatus(Enum):
+    PENDING = "pending"
+    READY = "ready"
+    ERROR = "error"
+
+
+@strawberry.enum
+class JobStatus(Enum):
+    PENDING = "pending"
+    PROCESSING = "processing"
+    COMPLETED = "completed"
+    FAILED = "failed"
+    CANCELLED = "cancelled"
+
+
+@strawberry.type
+class MediaAssetType:
+    """A video/audio file registered in the system."""
+
+    id: Optional[UUID] = None
+    filename: Optional[str] = None
+    file_path: Optional[str] = None
+    status: Optional[str] = None
+    error_message: Optional[str] = None
+    file_size: Optional[int] = None
+    duration: Optional[float] = None
+    video_codec: Optional[str] = None
+    audio_codec: Optional[str] = None
+    width: Optional[int] = None
+    height: Optional[int] = None
+    framerate: Optional[float] = None
+    bitrate: Optional[int] = None
+    properties: Optional[JSON] = None
+    comments: Optional[str] = None
+    tags: Optional[List[str]] = None
+    created_at: Optional[datetime] = None
+    updated_at: Optional[datetime] = None
+
+
+@strawberry.type
+class TranscodePresetType:
+    """A reusable transcoding configuration (like Handbrake presets)."""
+
+    id: Optional[UUID] = None
+    name: Optional[str] = None
+    description: Optional[str] = None
+    is_builtin: Optional[bool] = None
+    container: Optional[str] = None
+    video_codec: Optional[str] = None
+    video_bitrate: Optional[str] = None
+    video_crf: Optional[int] = None
+    video_preset: Optional[str] = None
+    resolution: Optional[str] = None
+    framerate: Optional[float] = None
+    audio_codec: Optional[str] = None
+    audio_bitrate: Optional[str] = None
+    audio_channels: Optional[int] = None
+    audio_samplerate: Optional[int] = None
+    extra_args: Optional[List[str]] = None
+    created_at: Optional[datetime] = None
+    updated_at: Optional[datetime] = None
+
+
+@strawberry.type
+class TranscodeJobType:
+    """A transcoding or trimming job in the queue."""
+
+    id: Optional[UUID] = None
+    source_asset_id: Optional[UUID] = None
+    preset_id: Optional[UUID] = None
+    preset_snapshot: Optional[JSON] = None
+    trim_start: Optional[float] = None
+    trim_end: Optional[float] = None
+    output_filename: Optional[str] = None
+    output_path: Optional[str] = None
+    output_asset_id: Optional[UUID] = None
+    status: Optional[str] = None
+    progress: Optional[float] = None
+    current_frame: Optional[int] = None
+    current_time: Optional[float] = None
+    speed: Optional[str] = None
+    error_message: Optional[str] = None
+    celery_task_id: Optional[str] = None
+    execution_arn: Optional[str] = None
+    priority: Optional[int] = None
+    created_at: Optional[datetime] = None
+    started_at: Optional[datetime] = None
+    completed_at: Optional[datetime] = None
+
+
+@strawberry.input
+class CreateJobInput:
+    """Request body for creating a transcode/trim job."""
+
+    source_asset_id: UUID
+    preset_id: Optional[UUID] = None
+    trim_start: Optional[float] = None
+    trim_end: Optional[float] = None
+    output_filename: Optional[str] = None
+    priority: int = 0
+
+
+@strawberry.input
+class UpdateAssetInput:
+    """Request body for updating asset metadata."""
+
+    comments: Optional[str] = None
+    tags: Optional[List[str]] = None
+
+
+@strawberry.type
+class SystemStatusType:
+    """System status response."""
+
+    status: Optional[str] = None
+    version: Optional[str] = None
+
+
+@strawberry.type
+class ScanResultType:
+    """Result of scanning the media input bucket."""
+
+    found: Optional[int] = None
+    registered: Optional[int] = None
+    skipped: Optional[int] = None
+    files: Optional[List[str]] = None
+
+
+@strawberry.type
+class DeleteResultType:
+    """Result of a delete operation."""
+
+    ok: Optional[bool] = None
+
+
+@strawberry.type
+class WorkerStatusType:
+    """Worker health and capabilities."""
+
+    available: Optional[bool] = None
+    active_jobs: Optional[int] = None
+    supported_codecs: Optional[List[str]] = None
+    gpu_available: Optional[bool] = None
--- a/core/db/init.py
+++ b/core/db/init.py
@@ -0,0 +1,19 @@
+from .assets import (
+    create_asset,
+    delete_asset,
+    get_asset,
+    get_asset_filenames,
+    list_assets,
+    update_asset,
+)
+from .jobs import (
+    create_job,
+    get_job,
+    list_jobs,
+    update_job,
+    update_job_fields,
+)
+from .presets import (
+    get_preset,
+    list_presets,
+)
--- a/core/db/assets.py
+++ b/core/db/assets.py
@@ -0,0 +1,48 @@
+"""Database operations for MediaAsset."""
+
+from typing import Optional
+from uuid import UUID
+
+
+def list_assets(status: Optional[str] = None, search: Optional[str] = None):
+    from admin.mpr.media_assets.models import MediaAsset
+
+    qs = MediaAsset.objects.all()
+    if status:
+        qs = qs.filter(status=status)
+    if search:
+        qs = qs.filter(filename__icontains=search)
+    return list(qs)
+
+
+def get_asset(id: UUID):
+    from admin.mpr.media_assets.models import MediaAsset
+
+    return MediaAsset.objects.get(id=id)
+
+
+def get_asset_filenames() -> set[str]:
+    from admin.mpr.media_assets.models import MediaAsset
+
+    return set(MediaAsset.objects.values_list("filename", flat=True))
+
+
+def create_asset(*, filename: str, file_path: str, file_size: int):
+    from admin.mpr.media_assets.models import MediaAsset
+
+    return MediaAsset.objects.create(
+        filename=filename,
+        file_path=file_path,
+        file_size=file_size,
+    )
+
+
+def update_asset(asset, **fields):
+    for key, value in fields.items():
+        setattr(asset, key, value)
+    asset.save(update_fields=list(fields.keys()))
+    return asset
+
+
+def delete_asset(asset):
+    asset.delete()
--- a/core/db/jobs.py
+++ b/core/db/jobs.py
@@ -0,0 +1,40 @@
+"""Database operations for TranscodeJob."""
+
+from typing import Optional
+from uuid import UUID
+
+
+def list_jobs(status: Optional[str] = None, source_asset_id: Optional[UUID] = None):
+    from admin.mpr.media_assets.models import TranscodeJob
+
+    qs = TranscodeJob.objects.all()
+    if status:
+        qs = qs.filter(status=status)
+    if source_asset_id:
+        qs = qs.filter(source_asset_id=source_asset_id)
+    return list(qs)
+
+
+def get_job(id: UUID):
+    from admin.mpr.media_assets.models import TranscodeJob
+
+    return TranscodeJob.objects.get(id=id)
+
+
+def create_job(**fields):
+    from admin.mpr.media_assets.models import TranscodeJob
+
+    return TranscodeJob.objects.create(**fields)
+
+
+def update_job(job, **fields):
+    for key, value in fields.items():
+        setattr(job, key, value)
+    job.save(update_fields=list(fields.keys()))
+    return job
+
+
+def update_job_fields(job_id, **fields):
+    from admin.mpr.media_assets.models import TranscodeJob
+
+    TranscodeJob.objects.filter(id=job_id).update(**fields)
--- a/core/db/presets.py
+++ b/core/db/presets.py
@@ -0,0 +1,15 @@
+"""Database operations for TranscodePreset."""
+
+from uuid import UUID
+
+
+def list_presets():
+    from admin.mpr.media_assets.models import TranscodePreset
+
+    return list(TranscodePreset.objects.all())
+
+
+def get_preset(id: UUID):
+    from admin.mpr.media_assets.models import TranscodePreset
+
+    return TranscodePreset.objects.get(id=id)
--- a/core/rpc/init.py
+++ b/core/rpc/init.py
--- a/core/rpc/client.py
+++ b/core/rpc/client.py
--- a/core/rpc/protos/worker.proto
+++ b/core/rpc/protos/worker.proto
--- a/core/rpc/server.py
+++ b/core/rpc/server.py
@@ -59,7 +59,7 @@ class WorkerServicer(worker_pb2_grpc.WorkerServiceServicer):

            # Dispatch to Celery if available
            if self.celery_app:
-                from task.tasks import run_transcode_job
+                from core.task.tasks import run_transcode_job

                task = run_transcode_job.delay(
                    job_id=job_id,
@@ -219,9 +219,8 @@ def update_job_progress(
    try:
        from django.utils import timezone

-        from mpr.media_assets.models import TranscodeJob
+        from core.db import update_job_fields

-        update_fields = ["progress", "current_frame", "current_time", "speed", "status"]
        updates = {
            "progress": progress,
            "current_frame": current_frame,
@@ -232,16 +231,13 @@ def update_job_progress(

        if error:
            updates["error_message"] = error
-            update_fields.append("error_message")

        if status == "processing":
            updates["started_at"] = timezone.now()
-            update_fields.append("started_at")
        elif status in ("completed", "failed"):
            updates["completed_at"] = timezone.now()
-            update_fields.append("completed_at")

-        TranscodeJob.objects.filter(id=job_id).update(**updates)
+        update_job_fields(job_id, **updates)
    except Exception as e:
        logger.warning(f"Failed to update job {job_id} in DB: {e}")

--- a/core/rpc/worker_pb2.py
+++ b/core/rpc/worker_pb2.py
--- a/core/rpc/worker_pb2_grpc.py
+++ b/core/rpc/worker_pb2_grpc.py
--- a/core/schema/init.py
+++ b/core/schema/init.py
--- a/core/schema/modelgen.json
+++ b/core/schema/modelgen.json
@@ -1,14 +1,14 @@
 {
-  "schema": "schema/models",
+  "schema": "core/schema/models",
  "targets": [
    {
      "target": "django",
-      "output": "mpr/media_assets/models.py",
+      "output": "admin/mpr/media_assets/models.py",
      "include": ["dataclasses", "enums"]
    },
    {
      "target": "graphene",
-      "output": "api/schema/graphql.py",
+      "output": "core/api/schema/graphql.py",
      "include": ["dataclasses", "enums", "api"]
    },
    {
@@ -18,7 +18,7 @@
    },
    {
      "target": "protobuf",
-      "output": "rpc/protos/worker.proto",
+      "output": "core/rpc/protos/worker.proto",
      "include": ["grpc"]
    }
  ]
--- a/core/schema/models/init.py
+++ b/core/schema/models/init.py
--- a/core/schema/models/api.py
+++ b/core/schema/models/api.py
--- a/core/schema/models/grpc.py
+++ b/core/schema/models/grpc.py
--- a/core/schema/models/jobs.py
+++ b/core/schema/models/jobs.py
--- a/core/schema/models/media.py
+++ b/core/schema/models/media.py
--- a/core/schema/models/presets.py
+++ b/core/schema/models/presets.py
--- a/core/storage/init.py
+++ b/core/storage/init.py
@@ -0,0 +1,10 @@
+from .s3 import (
+    BUCKET_IN,
+    BUCKET_OUT,
+    download_file,
+    download_to_temp,
+    get_presigned_url,
+    get_s3_client,
+    list_objects,
+    upload_file,
+)
--- a/core/storage/gcp.py
+++ b/core/storage/gcp.py
@@ -0,0 +1 @@
+"""GCP Cloud Storage backend (placeholder)."""
--- a/core/storage/local.py
+++ b/core/storage/local.py
@@ -0,0 +1 @@
+"""Local filesystem storage backend (placeholder)."""
--- a/core/storage/s3.py
+++ b/core/storage/s3.py
--- a/core/task/init.py
+++ b/core/task/init.py
--- a/core/task/executor.py
+++ b/core/task/executor.py
@@ -156,8 +156,81 @@ class LambdaExecutor(Executor):
        # Store execution ARN on the job
        execution_arn = response["executionArn"]
        try:
-            from mpr.media_assets.models import TranscodeJob
-            TranscodeJob.objects.filter(id=job_id).update(execution_arn=execution_arn)
+            from core.db import update_job_fields
+            update_job_fields(job_id, execution_arn=execution_arn)
+        except Exception:
+            pass
+
+        return True
+
+
+class GCPExecutor(Executor):
+    """Execute jobs via Google Cloud Run Jobs."""
+
+    def __init__(self):
+        from google.cloud import run_v2
+
+        self.client = run_v2.JobsClient()
+        self.project_id = os.environ["GCP_PROJECT_ID"]
+        self.region = os.environ.get("GCP_REGION", "us-central1")
+        self.job_name = os.environ["CLOUD_RUN_JOB"]
+        self.callback_url = os.environ.get("CALLBACK_URL", "")
+        self.callback_api_key = os.environ.get("CALLBACK_API_KEY", "")
+
+    def run(
+        self,
+        job_id: str,
+        source_path: str,
+        output_path: str,
+        preset: Optional[Dict[str, Any]] = None,
+        trim_start: Optional[float] = None,
+        trim_end: Optional[float] = None,
+        duration: Optional[float] = None,
+        progress_callback: Optional[Callable[[int, Dict[str, Any]], None]] = None,
+    ) -> bool:
+        """Trigger a Cloud Run Job execution for this job."""
+        import json
+
+        from google.cloud import run_v2
+
+        payload = {
+            "job_id": job_id,
+            "source_key": source_path,
+            "output_key": output_path,
+            "preset": preset,
+            "trim_start": trim_start,
+            "trim_end": trim_end,
+            "duration": duration,
+            "callback_url": self.callback_url,
+            "api_key": self.callback_api_key,
+        }
+
+        job_path = (
+            f"projects/{self.project_id}/locations/{self.region}/jobs/{self.job_name}"
+        )
+
+        request = run_v2.RunJobRequest(
+            name=job_path,
+            overrides=run_v2.RunJobRequest.Overrides(
+                container_overrides=[
+                    run_v2.RunJobRequest.Overrides.ContainerOverride(
+                        env=[
+                            run_v2.EnvVar(
+                                name="MPR_JOB_PAYLOAD", value=json.dumps(payload)
+                            )
+                        ]
+                    )
+                ]
+            ),
+        )
+
+        operation = self.client.run_job(request=request)
+        execution_name = operation.metadata.name
+
+        try:
+            from core.db import update_job_fields
+
+            update_job_fields(job_id, execution_arn=execution_name)
        except Exception:
            pass

@@ -168,6 +241,7 @@ class LambdaExecutor(Executor):
 _executors: Dict[str, type] = {
    "local": LocalExecutor,
    "lambda": LambdaExecutor,
+    "gcp": GCPExecutor,
 }

 _executor_instance: Optional[Executor] = None
--- a/core/task/gcp_handler.py
+++ b/core/task/gcp_handler.py
@@ -0,0 +1,121 @@
+"""
+Google Cloud Run Job handler for media transcoding.
+
+Reads job payload from the MPR_JOB_PAYLOAD env var (injected by GCPExecutor),
+downloads source from S3-compatible storage (GCS via HMAC + S3 API),
+runs FFmpeg, uploads result, and calls back to the API.
+
+Uses core/storage and core/ffmpeg — same modules as the Celery worker.
+No cloud-provider SDK required here; storage goes through core.storage (boto3 + S3 compat).
+
+Entry point: python -m task.gcp_handler  (set as Cloud Run Job command)
+"""
+
+import json
+import logging
+import os
+import sys
+import tempfile
+from pathlib import Path
+
+import requests
+
+from core.ffmpeg.transcode import TranscodeConfig, transcode
+from core.storage import BUCKET_IN, BUCKET_OUT, download_to_temp, upload_file
+
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
+
+
+def main() -> None:
+    raw = os.environ.get("MPR_JOB_PAYLOAD")
+    if not raw:
+        logger.error("MPR_JOB_PAYLOAD not set")
+        sys.exit(1)
+
+    event = json.loads(raw)
+    job_id = event["job_id"]
+    source_key = event["source_key"]
+    output_key = event["output_key"]
+    preset = event.get("preset")
+    trim_start = event.get("trim_start")
+    trim_end = event.get("trim_end")
+    duration = event.get("duration")
+    callback_url = event.get("callback_url", "")
+    api_key = event.get("api_key", "")
+
+    logger.info(f"Starting job {job_id}: {source_key} -> {output_key}")
+
+    tmp_source = download_to_temp(BUCKET_IN, source_key)
+    ext_out = Path(output_key).suffix or ".mp4"
+    fd, tmp_output = tempfile.mkstemp(suffix=ext_out)
+    os.close(fd)
+
+    try:
+        if preset:
+            config = TranscodeConfig(
+                input_path=tmp_source,
+                output_path=tmp_output,
+                video_codec=preset.get("video_codec", "libx264"),
+                video_bitrate=preset.get("video_bitrate"),
+                video_crf=preset.get("video_crf"),
+                video_preset=preset.get("video_preset"),
+                resolution=preset.get("resolution"),
+                framerate=preset.get("framerate"),
+                audio_codec=preset.get("audio_codec", "aac"),
+                audio_bitrate=preset.get("audio_bitrate"),
+                audio_channels=preset.get("audio_channels"),
+                audio_samplerate=preset.get("audio_samplerate"),
+                container=preset.get("container", "mp4"),
+                extra_args=preset.get("extra_args", []),
+                trim_start=trim_start,
+                trim_end=trim_end,
+            )
+        else:
+            config = TranscodeConfig(
+                input_path=tmp_source,
+                output_path=tmp_output,
+                video_codec="copy",
+                audio_codec="copy",
+                trim_start=trim_start,
+                trim_end=trim_end,
+            )
+
+        success = transcode(config, duration=duration)
+        if not success:
+            raise RuntimeError("Transcode returned False")
+
+        logger.info(f"Uploading to {BUCKET_OUT}/{output_key}")
+        upload_file(tmp_output, BUCKET_OUT, output_key)
+
+        _callback(callback_url, job_id, api_key, {"status": "completed"})
+        logger.info(f"Job {job_id} completed")
+        sys.exit(0)
+
+    except Exception as e:
+        logger.exception(f"Job {job_id} failed: {e}")
+        _callback(callback_url, job_id, api_key, {"status": "failed", "error": str(e)})
+        sys.exit(1)
+
+    finally:
+        for f in [tmp_source, tmp_output]:
+            try:
+                os.unlink(f)
+            except OSError:
+                pass
+
+
+def _callback(callback_url: str, job_id: str, api_key: str, payload: dict) -> None:
+    if not callback_url:
+        return
+    try:
+        url = f"{callback_url}/jobs/{job_id}/callback"
+        headers = {"X-API-Key": api_key} if api_key else {}
+        resp = requests.post(url, json=payload, headers=headers, timeout=10)
+        logger.info(f"Callback response: {resp.status_code}")
+    except Exception as e:
+        logger.warning(f"Callback failed: {e}")
+
+
+if __name__ == "__main__":
+    main()
--- a/core/task/lambda_handler.py
+++ b/core/task/lambda_handler.py
--- a/core/task/tasks.py
+++ b/core/task/tasks.py
@@ -9,8 +9,8 @@ from typing import Any, Dict, Optional
 from celery import shared_task

 from core.storage import BUCKET_IN, BUCKET_OUT, download_to_temp, upload_file
-from rpc.server import update_job_progress
-from task.executor import get_executor
+from core.rpc.server import update_job_progress
+from core.task.executor import get_executor

 logger = logging.getLogger(__name__)

--- a/ctrl/.env.template
+++ b/ctrl/.env.template
@@ -16,7 +16,7 @@ REDIS_URL=redis://redis:6379/0

 # Django
 DEBUG=1
-DJANGO_SETTINGS_MODULE=mpr.settings
+DJANGO_SETTINGS_MODULE=admin.mpr.settings
 SECRET_KEY=change-this-in-production

 # Worker
--- a/ctrl/Dockerfile
+++ b/ctrl/Dockerfile
@@ -1,14 +1,10 @@
 FROM python:3.11-slim

-RUN apt-get update && apt-get install -y \
-    ffmpeg \
-    && rm -rf /var/lib/apt/lists/*
-
 WORKDIR /app

 COPY requirements.txt .
 RUN pip install --no-cache-dir -r requirements.txt

-COPY . .
+# No COPY . . — code is volume-mounted in dev (..:/app)

-CMD ["python", "manage.py", "runserver", "0.0.0.0:8000"]
+CMD ["python", "admin/manage.py", "runserver", "0.0.0.0:8000"]
--- a/ctrl/Dockerfile.worker
+++ b/ctrl/Dockerfile.worker
@@ -0,0 +1,14 @@
+FROM python:3.11-slim
+
+RUN apt-get update && apt-get install -y \
+    ffmpeg \
+    && rm -rf /var/lib/apt/lists/*
+
+WORKDIR /app
+
+COPY requirements.txt requirements-worker.txt ./
+RUN pip install --no-cache-dir -r requirements-worker.txt
+
+# No COPY . . — code is volume-mounted in dev (..:/app)
+
+CMD ["celery", "-A", "admin.mpr", "worker", "--loglevel=info"]
--- a/ctrl/docker-compose.yml
+++ b/ctrl/docker-compose.yml
@@ -1,7 +1,7 @@
 x-common-env: &common-env
  DATABASE_URL: postgresql://mpr_user:mpr_pass@postgres:5432/mpr
  REDIS_URL: redis://redis:6379/0
-  DJANGO_SETTINGS_MODULE: mpr.settings
+  DJANGO_SETTINGS_MODULE: admin.mpr.settings
  DEBUG: 1
  GRPC_HOST: grpc
  GRPC_PORT: 50051
@@ -96,9 +96,9 @@ services:
      context: ..
      dockerfile: ctrl/Dockerfile
    command: >
-      bash -c "python manage.py migrate &&
-               python manage.py loadbuiltins || true &&
-               python manage.py runserver 0.0.0.0:8701"
+      bash -c "python admin/manage.py migrate &&
+               python admin/manage.py loadbuiltins || true &&
+               python admin/manage.py runserver 0.0.0.0:8701"
    ports:
      - "8701:8701"
    environment:
@@ -115,11 +115,12 @@ services:
    build:
      context: ..
      dockerfile: ctrl/Dockerfile
-    command: uvicorn api.main:app --host 0.0.0.0 --port 8702 --reload
+    command: uvicorn core.api.main:app --host 0.0.0.0 --port 8702 --reload
    ports:
      - "8702:8702"
    environment:
      <<: *common-env
+      DJANGO_ALLOW_ASYNC_UNSAFE: "true"
    volumes:
      - ..:/app
    depends_on:
@@ -132,7 +133,7 @@ services:
    build:
      context: ..
      dockerfile: ctrl/Dockerfile
-    command: python -m rpc.server
+    command: python -m core.rpc.server
    ports:
      - "50052:50051"
    environment:
@@ -150,8 +151,8 @@ services:
  celery:
    build:
      context: ..
-      dockerfile: ctrl/Dockerfile
-    command: celery -A mpr worker -l info -Q transcode -c 2
+      dockerfile: ctrl/Dockerfile.worker
+    command: celery -A admin.mpr worker -l info -Q transcode -c 2
    environment:
      <<: *common-env
      MPR_EXECUTOR: local
--- a/ctrl/generate.sh
+++ b/ctrl/generate.sh
@@ -1,22 +1,22 @@
 #!/bin/bash
 # Model generation script for MPR
-# Generates all targets from schema/modelgen.json config
+# Generates all targets from core/schema/modelgen.json config

 set -e
 cd "$(dirname "$0")/.."

-echo "Generating models from schema/models..."
-python -m modelgen generate --config schema/modelgen.json
+echo "Generating models from core/schema/models..."
+python -m modelgen generate --config core/schema/modelgen.json

 # Generate gRPC stubs from proto
 echo "Generating gRPC stubs..."
 python -m grpc_tools.protoc \
-    -I rpc/protos \
-    --python_out=rpc \
-    --grpc_python_out=rpc \
-    rpc/protos/worker.proto
+    -I core/rpc/protos \
+    --python_out=core/rpc \
+    --grpc_python_out=core/rpc \
+    core/rpc/protos/worker.proto

 # Fix relative import in generated grpc stub
-sed -i 's/^import worker_pb2/from . import worker_pb2/' rpc/worker_pb2_grpc.py
+sed -i 's/^import worker_pb2/from . import worker_pb2/' core/rpc/worker_pb2_grpc.py

 echo "Done!"
--- a/ctrl/lambda/Dockerfile
+++ b/ctrl/lambda/Dockerfile
@@ -14,8 +14,8 @@ COPY ctrl/lambda/requirements.txt .
 RUN pip install --no-cache-dir -r requirements.txt

 # Copy application code
-COPY task/lambda_handler.py ${LAMBDA_TASK_ROOT}/task/lambda_handler.py
-COPY task/__init__.py ${LAMBDA_TASK_ROOT}/task/__init__.py
+COPY core/task/lambda_handler.py ${LAMBDA_TASK_ROOT}/core/task/lambda_handler.py
+COPY core/task/__init__.py ${LAMBDA_TASK_ROOT}/core/task/__init__.py
 COPY core/ ${LAMBDA_TASK_ROOT}/core/

-CMD ["task.lambda_handler.handler"]
+CMD ["core.task.lambda_handler.handler"]
--- a/ctrl/nginx.conf
+++ b/ctrl/nginx.conf
@@ -44,9 +44,9 @@ http {
            proxy_set_header Host $host;
        }

-        # FastAPI
+        # FastAPI — trailing slash strips /api prefix before forwarding
        location /api/ {
-            proxy_pass http://fastapi;
+            proxy_pass http://fastapi/;
            proxy_set_header Host $host;
            proxy_set_header X-Real-IP $remote_addr;
            proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
--- a/docs/architecture/01c-gcp-architecture.dot
+++ b/docs/architecture/01c-gcp-architecture.dot
@@ -0,0 +1,83 @@
+digraph gcp_architecture {
+    rankdir=TB
+    node [shape=box, style=rounded, fontname="Helvetica"]
+    edge [fontname="Helvetica", fontsize=10]
+
+    labelloc="t"
+    label="MPR - GCP Architecture (Cloud Run Jobs + GCS)"
+    fontsize=16
+    fontname="Helvetica-Bold"
+
+    graph [splines=ortho, nodesep=0.8, ranksep=0.8]
+
+    // External
+    subgraph cluster_external {
+        label="External"
+        style=dashed
+        color=gray
+
+        browser [label="Browser\nmpr.mcrn.ar", shape=ellipse]
+    }
+
+    // Nginx reverse proxy
+    subgraph cluster_proxy {
+        label="Reverse Proxy"
+        style=filled
+        fillcolor="#e8f4f8"
+
+        nginx [label="nginx\nport 80"]
+    }
+
+    // Application layer
+    subgraph cluster_apps {
+        label="Application Layer"
+        style=filled
+        fillcolor="#f0f8e8"
+
+        django [label="Django Admin\n/admin\nport 8701"]
+        fastapi [label="GraphQL API\n/graphql\nport 8702"]
+        timeline [label="Timeline UI\n/\nport 5173"]
+    }
+
+    // Data layer (still local)
+    subgraph cluster_data {
+        label="Data Layer"
+        style=filled
+        fillcolor="#f8e8f0"
+
+        postgres [label="PostgreSQL\nport 5436", shape=cylinder]
+    }
+
+    // GCP layer
+    subgraph cluster_gcp {
+        label="Google Cloud"
+        style=filled
+        fillcolor="#e8f0fd"
+
+        cloud_run_job [label="Cloud Run Job\nFFmpeg container\ntranscoding"]
+        gcs [label="GCS Buckets\n(S3-compat API)", shape=folder]
+        bucket_in [label="mpr-media-in/\ninput videos", shape=note]
+        bucket_out [label="mpr-media-out/\ntranscoded output", shape=note]
+    }
+
+    // Connections
+    browser -> nginx [label="HTTP"]
+
+    nginx -> django [xlabel="/admin"]
+    nginx -> fastapi [xlabel="/graphql"]
+    nginx -> timeline [xlabel="/"]
+
+    timeline -> fastapi [label="GraphQL"]
+    django -> postgres
+
+    fastapi -> postgres [label="read/write jobs"]
+    fastapi -> cloud_run_job [label="google-cloud-run\nrun_job() + payload\nexecution_name"]
+
+    cloud_run_job -> gcs [label="S3 compat (HMAC)\ndownload input\nupload output"]
+    cloud_run_job -> fastapi [label="POST /jobs/{id}/callback\nupdate status"]
+
+    fastapi -> postgres [label="callback updates\njob status"]
+
+    gcs -> bucket_in [style=dotted, arrowhead=none]
+    gcs -> bucket_out [style=dotted, arrowhead=none]
+}
--- a/docs/architecture/01c-gcp-architecture.svg
+++ b/docs/architecture/01c-gcp-architecture.svg
@@ -0,0 +1,210 @@
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+<!-- timeline -->
+<g id="node5" class="node">
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+<!-- nginx&#45;&gt;timeline -->
+<g id="edge4" class="edge">
+<title>nginx&#45;&gt;timeline</title>
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+<!-- postgres -->
+<g id="node6" class="node">
+<title>postgres</title>
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+<g id="edge11" class="edge">
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+<text xml:space="preserve" text-anchor="middle" x="414.38" y="-362.75" font-family="Helvetica,sans-Serif" font-size="10.00">execution_name</text>
+</g>
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+<g id="edge5" class="edge">
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+</g>
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+<g id="edge10" class="edge">
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+<!-- cloud_run_job&#45;&gt;gcs -->
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+<text xml:space="preserve" text-anchor="middle" x="492.12" y="-192.25" font-family="Helvetica,sans-Serif" font-size="10.00">upload output</text>
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+<text xml:space="preserve" text-anchor="middle" x="364" y="-41.2" font-family="Helvetica,sans-Serif" font-size="14.00">mpr&#45;media&#45;in/</text>
+<text xml:space="preserve" text-anchor="middle" x="364" y="-23.95" font-family="Helvetica,sans-Serif" font-size="14.00">input videos</text>
+</g>
+<!-- gcs&#45;&gt;bucket_in -->
+<g id="edge12" class="edge">
+<title>gcs&#45;&gt;bucket_in</title>
+<path fill="none" stroke="black" stroke-dasharray="1,5" d="M401.25,-117.22C401.25,-100 401.25,-75.96 401.25,-58.74"/>
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+<polyline fill="none" stroke="black" points="623.12,-52.5 617.12,-52.5"/>
+<text xml:space="preserve" text-anchor="middle" x="551" y="-41.2" font-family="Helvetica,sans-Serif" font-size="14.00">mpr&#45;media&#45;out/</text>
+<text xml:space="preserve" text-anchor="middle" x="551" y="-23.95" font-family="Helvetica,sans-Serif" font-size="14.00">transcoded output</text>
+</g>
+<!-- gcs&#45;&gt;bucket_out -->
+<g id="edge13" class="edge">
+<title>gcs&#45;&gt;bucket_out</title>
+<path fill="none" stroke="black" stroke-dasharray="1,5" d="M494.56,-117.22C494.56,-100 494.56,-75.96 494.56,-58.74"/>
+</g>
+</g>
+</svg>
--- a/docs/architecture/04-media-storage.md
+++ b/docs/architecture/04-media-storage.md
@@ -68,9 +68,50 @@ aws s3 cp video.mp4 s3://mpr-media-in/
 aws s3 sync /local/media/ s3://mpr-media-in/
 ```

+## GCP Production (GCS via S3 compatibility)
+
+GCS exposes an S3-compatible API. The same `core/storage/s3.py` boto3 code works
+with no changes — only the endpoint and credentials differ.
+
+### GCS HMAC Keys
+Generate under **Cloud Storage → Settings → Interoperability** in the GCP console.
+These act as `AWS_ACCESS_KEY_ID` / `AWS_SECRET_ACCESS_KEY`.
+
+### Configuration
+```bash
+S3_ENDPOINT_URL=https://storage.googleapis.com
+S3_BUCKET_IN=mpr-media-in
+S3_BUCKET_OUT=mpr-media-out
+AWS_ACCESS_KEY_ID=<GCS HMAC access key>
+AWS_SECRET_ACCESS_KEY=<GCS HMAC secret>
+
+# Executor
+MPR_EXECUTOR=gcp
+GCP_PROJECT_ID=my-project
+GCP_REGION=us-central1
+CLOUD_RUN_JOB=mpr-transcode
+CALLBACK_URL=https://mpr.mcrn.ar/api
+CALLBACK_API_KEY=<secret>
+```
+
+### Upload Files to GCS
+```bash
+gcloud storage cp video.mp4 gs://mpr-media-in/
+
+# Or with the aws CLI via compat endpoint
+aws --endpoint-url https://storage.googleapis.com s3 cp video.mp4 s3://mpr-media-in/
+```
+
+### Cloud Run Job Handler
+`core/task/gcp_handler.py` is the Cloud Run Job entrypoint. It reads the job payload
+from `MPR_JOB_PAYLOAD` (injected by `GCPExecutor`), uses `core/storage` for all
+GCS access (S3 compat), and POSTs the completion callback to the API.
+
+Set the Cloud Run Job command to: `python -m core.task.gcp_handler`
+
 ## Storage Module

-`core/storage.py` provides all S3 operations:
+`core/storage/` package provides all S3 operations:

 ```python
 from core.storage import (
@@ -114,7 +155,14 @@ mutation { scanMediaFolder { found registered skipped files } }
 4. Uploads result to `S3_BUCKET_OUT`
 5. Calls back to API with result

-Both paths use the same S3 buckets and key structure.
+### Cloud Run Job Mode (GCP)
+1. `GCPExecutor` triggers Cloud Run Job with payload in `MPR_JOB_PAYLOAD`
+2. `core/task/gcp_handler.py` downloads source from `S3_BUCKET_IN` (GCS S3 compat)
+3. Runs FFmpeg in container
+4. Uploads result to `S3_BUCKET_OUT` (GCS S3 compat)
+5. Calls back to API with result
+
+All three paths use the same S3-compatible bucket names and key structure.

 ## Supported File Types

--- a/docs/index.html
+++ b/docs/index.html
@@ -9,8 +9,9 @@
    <body>
        <h1>MPR - Media Processor</h1>
        <p>
-            Media transcoding platform with dual execution modes: local (Celery
-            + MinIO) and cloud (AWS Step Functions + Lambda + S3).
+            Media transcoding platform with three execution modes: local (Celery
+            + MinIO), AWS (Step Functions + Lambda + S3), and GCP (Cloud Run
+            Jobs + GCS). Storage is S3-compatible across all environments.
        </p>

        <nav>
@@ -54,6 +55,21 @@
                    >Open full size</a
                >
            </div>
+            <div class="diagram">
+                <h3>GCP Architecture (Production)</h3>
+                <object
+                    type="image/svg+xml"
+                    data="architecture/01c-gcp-architecture.svg"
+                >
+                    <img
+                        src="architecture/01c-gcp-architecture.svg"
+                        alt="GCP Architecture"
+                    />
+                </object>
+                <a href="architecture/01c-gcp-architecture.svg" target="_blank"
+                    >Open full size</a
+                >
+            </div>
        </div>

        <div class="legend">
@@ -73,7 +89,11 @@
                </li>
                <li>
                    <span class="color-box" style="background: #fde8d0"></span>
-                    AWS (Step Functions, Lambda - cloud mode)
+                    AWS (Step Functions, Lambda)
+                </li>
+                <li>
+                    <span class="color-box" style="background: #e8f0fd"></span>
+                    GCP (Cloud Run Jobs + GCS)
                </li>
                <li>
                    <span class="color-box" style="background: #f8e8f0"></span>
@@ -81,7 +101,7 @@
                </li>
                <li>
                    <span class="color-box" style="background: #f0f0f0"></span>
-                    S3 Storage (MinIO local / AWS S3 cloud)
+                    S3-compatible Storage (MinIO / AWS S3 / GCS)
                </li>
            </ul>
        </div>
--- a/modelgen/generator/init.py
+++ b/modelgen/generator/init.py
@@ -7,17 +7,17 @@ Supported generators:
 - TypeScriptGenerator: TypeScript interfaces
 - ProtobufGenerator: Protocol Buffer definitions
 - PrismaGenerator: Prisma schema
- GrapheneGenerator: Graphene ObjectType/InputObjectType classes
+- StrawberryGenerator: Strawberry type/input/enum classes
 """

 from typing import Dict, Type

 from .base import BaseGenerator
 from .django import DjangoGenerator
-from .graphene import GrapheneGenerator
 from .prisma import PrismaGenerator
 from .protobuf import ProtobufGenerator
 from .pydantic import PydanticGenerator
+from .strawberry import StrawberryGenerator
 from .typescript import TypeScriptGenerator

 # Registry of available generators
@@ -29,14 +29,14 @@ GENERATORS: Dict[str, Type[BaseGenerator]] = {
    "protobuf": ProtobufGenerator,
    "proto": ProtobufGenerator,  # Alias
    "prisma": PrismaGenerator,
-    "graphene": GrapheneGenerator,
+    "strawberry": StrawberryGenerator,
 }

 __all__ = [
    "BaseGenerator",
    "PydanticGenerator",
    "DjangoGenerator",
-    "GrapheneGenerator",
+    "StrawberryGenerator",
    "TypeScriptGenerator",
    "ProtobufGenerator",
    "PrismaGenerator",
--- a/modelgen/generator/strawberry.py
+++ b/modelgen/generator/strawberry.py
@@ -1,28 +1,29 @@
 """
-Graphene Generator
+Strawberry Generator

-Generates graphene ObjectType and InputObjectType classes from model definitions.
+Generates strawberry type, input, and enum classes from model definitions.
 Only generates type definitions — queries, mutations, and resolvers are hand-written.
 """

+import dataclasses as dc
 from enum import Enum
 from pathlib import Path
 from typing import Any, List, get_type_hints

 from ..helpers import get_origin_name, get_type_name, unwrap_optional
 from ..loader.schema import EnumDefinition, FieldDefinition, ModelDefinition
-from ..types import GRAPHENE_RESOLVERS
+from ..types import STRAWBERRY_RESOLVERS
 from .base import BaseGenerator


-class GrapheneGenerator(BaseGenerator):
-    """Generates graphene type definition files."""
+class StrawberryGenerator(BaseGenerator):
+    """Generates strawberry type definition files."""

    def file_extension(self) -> str:
        return ".py"

    def generate(self, models, output_path: Path) -> None:
-        """Generate graphene types to output_path."""
+        """Generate strawberry types to output_path."""
        output_path.parent.mkdir(parents=True, exist_ok=True)

        if hasattr(models, "models"):
@@ -47,22 +48,18 @@ class GrapheneGenerator(BaseGenerator):
        enums: List[EnumDefinition],
        api_models: List[ModelDefinition],
    ) -> str:
-        """Generate from ModelDefinition objects."""
        lines = self._generate_header()

-        # Generate enums as graphene.Enum
        for enum_def in enums:
            lines.extend(self._generate_enum(enum_def))
            lines.append("")
            lines.append("")

-        # Generate domain models as ObjectType
        for model_def in models:
            lines.extend(self._generate_object_type(model_def))
            lines.append("")
            lines.append("")

-        # Generate API models — request types as InputObjectType, others as ObjectType
        for model_def in api_models:
            if model_def.name.endswith("Request"):
                lines.extend(self._generate_input_type(model_def))
@@ -74,7 +71,6 @@ class GrapheneGenerator(BaseGenerator):
        return "\n".join(lines).rstrip() + "\n"

    def _generate_from_dataclasses(self, dataclasses: List[type]) -> str:
-        """Generate from Python dataclasses."""
        lines = self._generate_header()

        enums_generated = set()
@@ -99,37 +95,38 @@ class GrapheneGenerator(BaseGenerator):
    def _generate_header(self) -> List[str]:
        return [
            '"""',
-            "Graphene Types - GENERATED FILE",
+            "Strawberry Types - GENERATED FILE",
            "",
            "Do not edit directly. Regenerate using modelgen.",
            '"""',
            "",
-            "import graphene",
+            "import strawberry",
+            "from enum import Enum",
+            "from typing import List, Optional",
+            "from uuid import UUID",
+            "from datetime import datetime",
+            "from strawberry.scalars import JSON",
            "",
            "",
        ]

    def _generate_enum(self, enum_def: EnumDefinition) -> List[str]:
-        """Generate graphene.Enum from EnumDefinition."""
-        lines = [f"class {enum_def.name}(graphene.Enum):"]
+        lines = ["@strawberry.enum", f"class {enum_def.name}(Enum):"]
        for name, value in enum_def.values:
            lines.append(f'    {name} = "{value}"')
        return lines

    def _generate_enum_from_python(self, enum_cls: type) -> List[str]:
-        """Generate graphene.Enum from Python Enum."""
-        lines = [f"class {enum_cls.__name__}(graphene.Enum):"]
+        lines = ["@strawberry.enum", f"class {enum_cls.__name__}(Enum):"]
        for member in enum_cls:
            lines.append(f'    {member.name} = "{member.value}"')
        return lines

    def _generate_object_type(self, model_def: ModelDefinition) -> List[str]:
-        """Generate graphene.ObjectType from ModelDefinition."""
        name = model_def.name
-        # Append Type suffix if not already present
        type_name = f"{name}Type" if not name.endswith("Type") else name

-        lines = [f"class {type_name}(graphene.ObjectType):"]
+        lines = ["@strawberry.type", f"class {type_name}:"]
        if model_def.docstring:
            doc = model_def.docstring.strip().split("\n")[0]
            lines.append(f'    """{doc}"""')
@@ -139,23 +136,19 @@ class GrapheneGenerator(BaseGenerator):
            lines.append("    pass")
        else:
            for field in model_def.fields:
-                graphene_type = self._resolve_type(field.type_hint, field.optional)
-                lines.append(f"    {field.name} = {graphene_type}")
+                type_str = self._resolve_type(field.type_hint, optional=True)
+                lines.append(f"    {field.name}: {type_str} = None")

        return lines

    def _generate_input_type(self, model_def: ModelDefinition) -> List[str]:
-        """Generate graphene.InputObjectType from ModelDefinition."""
-        import dataclasses as dc
-
        name = model_def.name
-        # Convert FooRequest -> FooInput
        if name.endswith("Request"):
            input_name = name[: -len("Request")] + "Input"
        else:
            input_name = f"{name}Input"

-        lines = [f"class {input_name}(graphene.InputObjectType):"]
+        lines = ["@strawberry.input", f"class {input_name}:"]
        if model_def.docstring:
            doc = model_def.docstring.strip().split("\n")[0]
            lines.append(f'    """{doc}"""')
@@ -164,73 +157,64 @@ class GrapheneGenerator(BaseGenerator):
        if not model_def.fields:
            lines.append("    pass")
        else:
+            # Required fields first, then optional/defaulted
+            required = []
+            optional = []
            for field in model_def.fields:
-                graphene_type = self._resolve_type(field.type_hint, field.optional)
-                # Required only if not optional AND no default value
                has_default = field.default is not dc.MISSING
                if not field.optional and not has_default:
-                    graphene_type = self._make_required(graphene_type)
-                elif has_default and not field.optional:
-                    graphene_type = self._add_default(graphene_type, field.default)
-                lines.append(f"    {field.name} = {graphene_type}")
+                    required.append(field)
+                else:
+                    optional.append(field)
+
+            for field in required:
+                type_str = self._resolve_type(field.type_hint, optional=False)
+                lines.append(f"    {field.name}: {type_str}")
+
+            for field in optional:
+                has_default = field.default is not dc.MISSING
+                if has_default and not callable(field.default):
+                    type_str = self._resolve_type(field.type_hint, optional=False)
+                    lines.append(f"    {field.name}: {type_str} = {field.default!r}")
+                else:
+                    type_str = self._resolve_type(field.type_hint, optional=True)
+                    lines.append(f"    {field.name}: {type_str} = None")

        return lines

    def _generate_object_type_from_dataclass(self, cls: type) -> List[str]:
-        """Generate graphene.ObjectType from a dataclass."""
-        import dataclasses as dc
-
        type_name = f"{cls.__name__}Type"
-        lines = [f"class {type_name}(graphene.ObjectType):"]
+        lines = ["@strawberry.type", f"class {type_name}:"]

        hints = get_type_hints(cls)
        for name, type_hint in hints.items():
            if name.startswith("_"):
                continue
-            graphene_type = self._resolve_type(type_hint, False)
-            lines.append(f"    {name} = {graphene_type}")
+            type_str = self._resolve_type(type_hint, optional=True)
+            lines.append(f"    {name}: {type_str} = None")

        return lines

    def _resolve_type(self, type_hint: Any, optional: bool) -> str:
-        """Resolve Python type to graphene field call string."""
+        """Resolve Python type hint to a strawberry annotation string."""
        base, is_optional = unwrap_optional(type_hint)
        optional = optional or is_optional
        origin = get_origin_name(base)
        type_name = get_type_name(base)

-        # Look up resolver
        resolver = (
-            GRAPHENE_RESOLVERS.get(origin)
-            or GRAPHENE_RESOLVERS.get(type_name)
-            or GRAPHENE_RESOLVERS.get(base)
+            STRAWBERRY_RESOLVERS.get(origin)
+            or STRAWBERRY_RESOLVERS.get(type_name)
+            or STRAWBERRY_RESOLVERS.get(base)
            or (
-                GRAPHENE_RESOLVERS["enum"]
+                STRAWBERRY_RESOLVERS["enum"]
                if isinstance(base, type) and issubclass(base, Enum)
                else None
            )
        )

-        result = resolver(base) if resolver else "graphene.String"
+        inner = resolver(base) if resolver else "str"

-        # List types already have () syntax from resolver
-        if result.startswith("graphene.List("):
-            return result
-
-        # Scalar types: add () call
-        return f"{result}()"
-
-    def _make_required(self, field_str: str) -> str:
-        """Add required=True to a graphene field."""
-        if field_str.endswith("()"):
-            return field_str[:-1] + "required=True)"
-        return field_str
-
-    def _add_default(self, field_str: str, default: Any) -> str:
-        """Add default_value to a graphene field."""
-        if callable(default):
-            # default_factory — skip, graphene doesn't support factories
-            return field_str
-        if field_str.endswith("()"):
-            return field_str[:-1] + f"default_value={default!r})"
-        return field_str
+        if optional:
+            return f"Optional[{inner}]"
+        return inner
--- a/modelgen/types.py
+++ b/modelgen/types.py
@@ -139,34 +139,34 @@ PRISMA_SPECIAL: dict[str, str] = {
 }

 # =============================================================================
-# Graphene Type Resolvers
+# Strawberry Type Resolvers
 # =============================================================================


-def _resolve_graphene_list(base: Any) -> str:
-    """Resolve graphene List type."""
+def _resolve_strawberry_list(base: Any) -> str:
+    """Resolve strawberry List type annotation."""
    args = get_args(base)
    if args:
        inner = args[0]
        if inner is str:
-            return "graphene.List(graphene.String)"
+            return "List[str]"
        elif inner is int:
-            return "graphene.List(graphene.Int)"
+            return "List[int]"
        elif inner is float:
-            return "graphene.List(graphene.Float)"
+            return "List[float]"
        elif inner is bool:
-            return "graphene.List(graphene.Boolean)"
-    return "graphene.List(graphene.String)"
+            return "List[bool]"
+    return "List[str]"


-GRAPHENE_RESOLVERS: dict[Any, Callable[[Any], str]] = {
-    str: lambda _: "graphene.String",
-    int: lambda _: "graphene.Int",
-    float: lambda _: "graphene.Float",
-    bool: lambda _: "graphene.Boolean",
-    "UUID": lambda _: "graphene.UUID",
-    "datetime": lambda _: "graphene.DateTime",
-    "dict": lambda _: "graphene.JSONString",
-    "list": _resolve_graphene_list,
-    "enum": lambda base: f"graphene.String",  # Enums exposed as strings in GQL
+STRAWBERRY_RESOLVERS: dict[Any, Callable[[Any], str]] = {
+    str: lambda _: "str",
+    int: lambda _: "int",
+    float: lambda _: "float",
+    bool: lambda _: "bool",
+    "UUID": lambda _: "UUID",
+    "datetime": lambda _: "datetime",
+    "dict": lambda _: "JSON",
+    "list": _resolve_strawberry_list,
+    "enum": lambda base: base.__name__,
 }
--- a/requirements-worker.txt
+++ b/requirements-worker.txt
@@ -0,0 +1,2 @@
+-r requirements.txt
+ffmpeg-python>=0.2.0
--- a/requirements.txt
+++ b/requirements.txt
@@ -12,19 +12,19 @@ pydantic>=2.5.0
 celery[redis]>=5.3.0
 redis>=5.0.0

-# FFmpeg
-ffmpeg-python>=0.2.0
-
 # gRPC
 grpcio>=1.60.0
 grpcio-tools>=1.60.0

 # AWS
 boto3>=1.34.0
+requests>=2.31.0
+
+# GCP (optional — only needed when MPR_EXECUTOR=gcp)
+google-cloud-run>=0.10.0

 # GraphQL
-graphene>=3.3
-starlette-graphene3>=0.6.0
+strawberry-graphql[fastapi]>=0.311.0

 # Testing
 pytest>=7.4.0
--- a/ui/timeline/.dockerignore
+++ b/ui/timeline/.dockerignore
@@ -0,0 +1,2 @@
+node_modules/
+dist/
--- a/ui/timeline/src/api.ts
+++ b/ui/timeline/src/api.ts
@@ -1,5 +1,5 @@
 /**
- * API client for FastAPI backend
+ * GraphQL API client
 */

 import type {
@@ -8,34 +8,51 @@ import type {
  TranscodeJob,
  CreateJobRequest,
  SystemStatus,
-  WorkerStatus,
 } from "./types";

-const API_BASE = "/api";
+const GRAPHQL_URL = "/api/graphql";

-async function request<T>(path: string, options?: RequestInit): Promise<T> {
-  const response = await fetch(`${API_BASE}${path}`, {
-    headers: {
-      "Content-Type": "application/json",
-    },
-    ...options,
+async function gql<T>(query: string, variables?: Record<string, unknown>): Promise<T> {
+  const response = await fetch(GRAPHQL_URL, {
+    method: "POST",
+    headers: { "Content-Type": "application/json" },
+    body: JSON.stringify({ query, variables }),
  });

-  if (!response.ok) {
-    const error = await response.text();
-    throw new Error(`API error: ${response.status} - ${error}`);
+  const json = await response.json();
+
+  if (json.errors?.length) {
+    throw new Error(json.errors[0].message);
  }

-  return response.json();
+  return json.data as T;
 }

 // Assets
 export async function getAssets(): Promise<MediaAsset[]> {
-  return request("/assets/");
+  const data = await gql<{ assets: MediaAsset[] }>(`
+    query {
+      assets {
+        id filename file_path status error_message file_size duration
+        video_codec audio_codec width height framerate bitrate
+        properties comments tags created_at updated_at
+      }
+    }
+  `);
+  return data.assets;
 }

 export async function getAsset(id: string): Promise<MediaAsset> {
-  return request(`/assets/${id}`);
+  const data = await gql<{ asset: MediaAsset }>(`
+    query($id: UUID!) {
+      asset(id: $id) {
+        id filename file_path status error_message file_size duration
+        video_codec audio_codec width height framerate bitrate
+        properties comments tags created_at updated_at
+      }
+    }
+  `, { id });
+  return data.asset;
 }

 export async function scanMediaFolder(): Promise<{
@@ -44,43 +61,95 @@ export async function scanMediaFolder(): Promise<{
  skipped: number;
  files: string[];
 }> {
-  return request("/assets/scan", {
-    method: "POST",
-  });
+  const data = await gql<{ scan_media_folder: { found: number; registered: number; skipped: number; files: string[] } }>(`
+    mutation {
+      scan_media_folder { found registered skipped files }
+    }
+  `);
+  return data.scan_media_folder;
 }

 // Presets
 export async function getPresets(): Promise<TranscodePreset[]> {
-  return request("/presets/");
+  const data = await gql<{ presets: TranscodePreset[] }>(`
+    query {
+      presets {
+        id name description is_builtin container
+        video_codec video_bitrate video_crf video_preset resolution framerate
+        audio_codec audio_bitrate audio_channels audio_samplerate
+        extra_args created_at updated_at
+      }
+    }
+  `);
+  return data.presets;
 }

 // Jobs
 export async function getJobs(): Promise<TranscodeJob[]> {
-  return request("/jobs/");
+  const data = await gql<{ jobs: TranscodeJob[] }>(`
+    query {
+      jobs {
+        id source_asset_id preset_id preset_snapshot trim_start trim_end
+        output_filename output_path output_asset_id status progress
+        current_frame current_time speed error_message celery_task_id
+        execution_arn priority created_at started_at completed_at
+      }
+    }
+  `);
+  return data.jobs;
 }

 export async function getJob(id: string): Promise<TranscodeJob> {
-  return request(`/jobs/${id}`);
+  const data = await gql<{ job: TranscodeJob }>(`
+    query($id: UUID!) {
+      job(id: $id) {
+        id source_asset_id preset_id preset_snapshot trim_start trim_end
+        output_filename output_path output_asset_id status progress
+        current_frame current_time speed error_message celery_task_id
+        execution_arn priority created_at started_at completed_at
+      }
+    }
+  `, { id });
+  return data.job;
 }

-export async function createJob(data: CreateJobRequest): Promise<TranscodeJob> {
-  return request("/jobs/", {
-    method: "POST",
-    body: JSON.stringify(data),
+export async function createJob(req: CreateJobRequest): Promise<TranscodeJob> {
+  const data = await gql<{ create_job: TranscodeJob }>(`
+    mutation($input: CreateJobInput!) {
+      create_job(input: $input) {
+        id source_asset_id status output_filename progress created_at
+      }
+    }
+  `, {
+    input: {
+      source_asset_id: req.source_asset_id,
+      preset_id: req.preset_id,
+      trim_start: req.trim_start,
+      trim_end: req.trim_end,
+      output_filename: req.output_filename ?? null,
+      priority: req.priority ?? 0,
+    },
  });
+  return data.create_job;
 }

 export async function cancelJob(id: string): Promise<TranscodeJob> {
-  return request(`/jobs/${id}/cancel`, {
-    method: "POST",
-  });
+  const data = await gql<{ cancel_job: TranscodeJob }>(`
+    mutation($id: UUID!) {
+      cancel_job(id: $id) {
+        id status
+      }
+    }
+  `, { id });
+  return data.cancel_job;
 }

 // System
 export async function getSystemStatus(): Promise<SystemStatus> {
-  return request("/system/status");
-}
-
-export async function getWorkerStatus(): Promise<WorkerStatus> {
-  return request("/system/worker");
+  const data = await gql<{ system_status: SystemStatus }>(`
+    query {
+      system_status { status version }
+    }
+  `);
+  return data.system_status;
 }
Author	SHA1	Message	Date
buenosairesam	5ceb8172ea	docker build fix	2026-03-13 14:31:26 -03:00
buenosairesam	3eeedebb15	major refactor	2026-03-13 01:07:02 -03:00
buenosairesam	eaaf2ad60c	executor abstraction, graphene to strawberry	2026-03-12 23:27:34 -03:00
				`@@ -0,0 +1 @@`
				`"""GCP Cloud Storage backend (placeholder)."""`
				`@@ -0,0 +1 @@`
				`"""Local filesystem storage backend (placeholder)."""`