fine tuning models

2026-02-06 18:46:27 -03:00
parent e642908abb
commit 8f5d407e0e
5 changed files with 9 additions and 18 deletions
--- a/api/schemas/graphql.py
+++ b/api/schemas/graphql.py
@@ -0,0 +1,129 @@
+"""
+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 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 WorkerStatusType(graphene.ObjectType):
+    """Worker health and capabilities."""
+
+    available = graphene.Boolean()
+    active_jobs = graphene.Int()
+    supported_codecs = graphene.List(graphene.String)
+    gpu_available = graphene.Boolean()