django and fastapi apps

schema/models/__init__.py

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+"""
+MPR Schema Models
+
+This module exports all dataclasses, enums, and constants that the generator
+should process. Add new models here to have them included in generation.
+"""
+
+from .grpc import (
+    GRPC_SERVICE,
+    CancelRequest,
+    CancelResponse,
+    Empty,
+    JobRequest,
+    JobResponse,
+    ProgressRequest,
+    ProgressUpdate,
+    WorkerStatus,
+)
+from .jobs import JobStatus, TranscodeJob
+from .media import AssetStatus, MediaAsset
+from .presets import BUILTIN_PRESETS, TranscodePreset
+
+# Core domain models - generates Django, Pydantic, TypeScript
+DATACLASSES = [MediaAsset, TranscodePreset, TranscodeJob]
+
+# Status enums - included in generated code
+ENUMS = [AssetStatus, JobStatus]
+
+# gRPC messages - generates Proto
+GRPC_MESSAGES = [
+    JobRequest,
+    JobResponse,
+    ProgressRequest,
+    ProgressUpdate,
+    CancelRequest,
+    CancelResponse,
+    WorkerStatus,
+    Empty,
+]
+
+__all__ = [
+    # Models
+    "MediaAsset",
+    "TranscodePreset",
+    "TranscodeJob",
+    # Enums
+    "AssetStatus",
+    "JobStatus",
+    # gRPC
+    "GRPC_SERVICE",
+    "JobRequest",
+    "JobResponse",
+    "ProgressRequest",
+    "ProgressUpdate",
+    "CancelRequest",
+    "CancelResponse",
+    "WorkerStatus",
+    "Empty",
+    # For generator
+    "DATACLASSES",
+    "ENUMS",
+    "GRPC_MESSAGES",
+    "BUILTIN_PRESETS",
+]

schema/models/grpc.py

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+"""
+gRPC message definitions for MPR worker communication.
+
+This is the source of truth for gRPC messages. The generator creates:
+- grpc/protos/worker.proto (protobuf definition)
+- grpc/worker_pb2.py (generated Python classes)
+- grpc/worker_pb2_grpc.py (generated gRPC stubs)
+"""
+
+from dataclasses import dataclass
+from typing import Optional
+
+# -----------------------------------------------------------------------------
+# Request Messages
+# -----------------------------------------------------------------------------
+
+
+@dataclass
+class JobRequest:
+    """Request to submit a transcode/trim job."""
+
+    job_id: str
+    source_path: str
+    output_path: str
+    preset_json: str  # Serialized TranscodePreset
+    trim_start: Optional[float] = None
+    trim_end: Optional[float] = None
+
+
+@dataclass
+class ProgressRequest:
+    """Request to stream progress updates for a job."""
+
+    job_id: str
+
+
+@dataclass
+class CancelRequest:
+    """Request to cancel a running job."""
+
+    job_id: str
+
+
+@dataclass
+class Empty:
+    """Empty message for requests with no parameters."""
+
+    pass
+
+
+# -----------------------------------------------------------------------------
+# Response Messages
+# -----------------------------------------------------------------------------
+
+
+@dataclass
+class JobResponse:
+    """Response after submitting a job."""
+
+    job_id: str
+    accepted: bool
+    message: str
+
+
+@dataclass
+class ProgressUpdate:
+    """Streaming progress update from worker."""
+
+    job_id: str
+    progress: int  # 0-100
+    current_frame: int
+    current_time: float
+    speed: float  # e.g., 2.5x
+    status: str  # pending, processing, completed, failed, cancelled
+    error: Optional[str] = None
+
+
+@dataclass
+class CancelResponse:
+    """Response after cancel request."""
+
+    job_id: str
+    cancelled: bool
+    message: str
+
+
+@dataclass
+class WorkerStatus:
+    """Worker health and capabilities."""
+
+    available: bool
+    active_jobs: int
+    supported_codecs: list[str]
+    gpu_available: bool
+
+
+# -----------------------------------------------------------------------------
+# Service Definition (for documentation, generator uses this)
+# -----------------------------------------------------------------------------
+
+GRPC_SERVICE = {
+    "name": "WorkerService",
+    "package": "mpr.worker",
+    "methods": [
+        {
+            "name": "SubmitJob",
+            "request": JobRequest,
+            "response": JobResponse,
+            "stream_response": False,
+        },
+        {
+            "name": "StreamProgress",
+            "request": ProgressRequest,
+            "response": ProgressUpdate,
+            "stream_response": True,  # Server streaming
+        },
+        {
+            "name": "CancelJob",
+            "request": CancelRequest,
+            "response": CancelResponse,
+            "stream_response": False,
+        },
+        {
+            "name": "GetWorkerStatus",
+            "request": Empty,
+            "response": WorkerStatus,
+            "stream_response": False,
+        },
+    ],
+}

schema/models/jobs.py

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+"""
+TranscodeJob Schema Definition
+
+Source of truth for job data model.
+"""
+
+from dataclasses import dataclass, field
+from datetime import datetime
+from enum import Enum
+from typing import Any, Dict, Optional
+from uuid import UUID
+
+
+class JobStatus(str, Enum):
+    """Status of a transcode/trim job."""
+
+    PENDING = "pending"
+    PROCESSING = "processing"
+    COMPLETED = "completed"
+    FAILED = "failed"
+    CANCELLED = "cancelled"
+
+
+@dataclass
+class TranscodeJob:
+    """
+    A transcoding or trimming job in the queue.
+
+    Jobs can either:
+    - Transcode using a preset (full re-encode)
+    - Trim only (stream copy with -c:v copy -c:a copy)
+
+    A trim-only job has no preset and uses stream copy.
+    """
+
+    id: UUID
+
+    # Input
+    source_asset_id: UUID
+
+    # Configuration
+    preset_id: Optional[UUID] = None
+    preset_snapshot: Dict[str, Any] = field(
+        default_factory=dict
+    )  # Copy at creation time
+
+    # Trimming (optional)
+    trim_start: Optional[float] = None  # seconds
+    trim_end: Optional[float] = None  # seconds
+
+    # Output
+    output_filename: str = ""
+    output_path: Optional[str] = None
+    output_asset_id: Optional[UUID] = None
+
+    # Status & Progress
+    status: JobStatus = JobStatus.PENDING
+    progress: float = 0.0  # 0.0 to 100.0
+    current_frame: Optional[int] = None
+    current_time: Optional[float] = None  # seconds processed
+    speed: Optional[str] = None  # "2.5x"
+    error_message: Optional[str] = None
+
+    # Worker tracking
+    celery_task_id: Optional[str] = None
+    priority: int = 0  # Lower = higher priority
+
+    # Timestamps
+    created_at: Optional[datetime] = None
+    started_at: Optional[datetime] = None
+    completed_at: Optional[datetime] = None
+
+    @property
+    def is_trim_only(self) -> bool:
+        """Check if this is a trim-only job (stream copy, no transcode)."""
+        return self.preset_id is None and (
+            self.trim_start is not None or self.trim_end is not None
+        )

schema/models/media.py

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+"""
+MediaAsset Schema Definition
+
+Source of truth for media asset data model.
+"""
+
+from dataclasses import dataclass, field
+from datetime import datetime
+from enum import Enum
+from typing import Any, Dict, List, Optional
+from uuid import UUID
+
+
+class AssetStatus(str, Enum):
+    """Status of a media asset after probing."""
+
+    PENDING = "pending"
+    READY = "ready"
+    ERROR = "error"
+
+
+@dataclass
+class MediaAsset:
+    """
+    A video/audio file registered in the system.
+
+    Metadata is populated asynchronously via ffprobe after registration.
+    """
+
+    id: UUID
+    filename: str
+    file_path: str
+
+    # Status
+    status: AssetStatus = AssetStatus.PENDING
+    error_message: Optional[str] = None
+
+    # File info
+    file_size: Optional[int] = None
+
+    # Media metadata (populated by ffprobe)
+    duration: Optional[float] = None  # seconds
+    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  # bits per second
+
+    # Full ffprobe output and custom metadata
+    properties: Dict[str, Any] = field(default_factory=dict)
+
+    # User annotations
+    comments: str = ""
+    tags: List[str] = field(default_factory=list)
+
+    # Timestamps
+    created_at: Optional[datetime] = None
+    updated_at: Optional[datetime] = None

schema/models/presets.py

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+"""
+TranscodePreset Schema Definition
+
+Source of truth for preset data model.
+"""
+
+from dataclasses import dataclass, field
+from datetime import datetime
+from typing import List, Optional
+from uuid import UUID
+
+
+@dataclass
+class TranscodePreset:
+    """
+    A reusable transcoding configuration (like Handbrake presets).
+
+    Presets can be builtin (shipped with the app) or user-created.
+    """
+
+    id: UUID
+    name: str
+    description: str = ""
+    is_builtin: bool = False
+
+    # Output container
+    container: str = "mp4"  # mp4, mkv, webm, mov, avi
+
+    # Video settings
+    video_codec: str = "libx264"
+    video_bitrate: Optional[str] = None  # "2M", "5000k"
+    video_crf: Optional[int] = None  # Quality-based (0-51 for x264)
+    video_preset: Optional[str] = None  # ultrafast...veryslow
+    resolution: Optional[str] = None  # "1920x1080", "1280x720"
+    framerate: Optional[float] = None
+
+    # Audio settings
+    audio_codec: str = "aac"
+    audio_bitrate: Optional[str] = None  # "128k", "320k"
+    audio_channels: Optional[int] = None  # 2 for stereo
+    audio_samplerate: Optional[int] = None  # 44100, 48000
+
+    # Advanced: extra FFmpeg arguments
+    extra_args: List[str] = field(default_factory=list)
+
+    # Timestamps
+    created_at: Optional[datetime] = None
+    updated_at: Optional[datetime] = None
+
+
+BUILTIN_PRESETS = [
+    {
+        "name": "DaVinci Resolve",
+        "description": "MPEG-4 (xvid) + MP3 - Compatible with DaVinci Resolve Free",
+        "container": "avi",
+        "video_codec": "mpeg4",
+        "video_crf": 5,
+        "audio_codec": "libmp3lame",
+        "audio_bitrate": "320k",
+        "audio_samplerate": 48000,
+        "extra_args": ["-vtag", "xvid", "-pix_fmt", "yuv420p"],
+    },
+    {
+        "name": "Copy (Trim Only)",
+        "description": "Stream copy - No transcoding, fast trimming only",
+        "container": "mp4",
+        "video_codec": "copy",
+        "audio_codec": "copy",
+    },
+    {
+        "name": "Web H.264",
+        "description": "H.264 + AAC - General web playback",
+        "container": "mp4",
+        "video_codec": "libx264",
+        "video_crf": 23,
+        "video_preset": "medium",
+        "audio_codec": "aac",
+        "audio_bitrate": "128k",
+    },
+    {
+        "name": "Web H.265",
+        "description": "HEVC + AAC - Smaller files, modern browsers",
+        "container": "mp4",
+        "video_codec": "libx265",
+        "video_crf": 28,
+        "video_preset": "medium",
+        "audio_codec": "aac",
+        "audio_bitrate": "128k",
+    },
+    {
+        "name": "DNxHR HQ",
+        "description": "DNxHR High Quality - Professional editing",
+        "container": "mov",
+        "video_codec": "dnxhd",
+        "audio_codec": "pcm_s16le",
+        "audio_samplerate": 48000,
+        "extra_args": ["-profile:v", "dnxhr_hq", "-pix_fmt", "yuv422p"],
+    },
+    {
+        "name": "H.264 NVENC",
+        "description": "NVIDIA GPU encoding - Fast H.264",
+        "container": "mp4",
+        "video_codec": "h264_nvenc",
+        "video_bitrate": "10M",
+        "audio_codec": "aac",
+        "audio_bitrate": "192k",
+        "extra_args": ["-preset", "p4", "-rc", "vbr", "-cq", "19"],
+    },
+    {
+        "name": "HEVC NVENC",
+        "description": "NVIDIA GPU encoding - HEVC/H.265",
+        "container": "mp4",
+        "video_codec": "hevc_nvenc",
+        "video_bitrate": "8M",
+        "audio_codec": "aac",
+        "audio_bitrate": "192k",
+        "extra_args": ["-preset", "p4", "-rc", "vbr", "-cq", "23"],
+    },
+    {
+        "name": "Archive ProRes",
+        "description": "Apple ProRes 422 HQ - Archival quality",
+        "container": "mov",
+        "video_codec": "prores_ks",
+        "audio_codec": "pcm_s16le",
+        "audio_samplerate": 48000,
+        "extra_args": ["-profile:v", "3"],  # ProRes 422 HQ
+    },
+]