34da9f4cda
backend-lehrer (11 files): - llm_gateway/routes/schools.py (867 → 5), recording_api.py (848 → 6) - messenger_api.py (840 → 5), print_generator.py (824 → 5) - unit_analytics_api.py (751 → 5), classroom/routes/context.py (726 → 4) - llm_gateway/routes/edu_search_seeds.py (710 → 4) klausur-service (12 files): - ocr_labeling_api.py (845 → 4), metrics_db.py (833 → 4) - legal_corpus_api.py (790 → 4), page_crop.py (758 → 3) - mail/ai_service.py (747 → 4), github_crawler.py (767 → 3) - trocr_service.py (730 → 4), full_compliance_pipeline.py (723 → 4) - dsfa_rag_api.py (715 → 4), ocr_pipeline_auto.py (705 → 4) website (6 pages): - audit-checklist (867 → 8), content (806 → 6) - screen-flow (790 → 4), scraper (789 → 5) - zeugnisse (776 → 5), modules (745 → 4) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
99 lines
3.1 KiB
Python
99 lines
3.1 KiB
Python
"""
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Recording API - Pydantic Models & Configuration.
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Data models for recording, transcription, and webhook endpoints.
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"""
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import os
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from datetime import datetime
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from typing import Optional, List
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from pydantic import BaseModel, Field
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# ==========================================
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# ENVIRONMENT CONFIGURATION
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# ==========================================
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MINIO_ENDPOINT = os.getenv("MINIO_ENDPOINT", "minio:9000")
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MINIO_ACCESS_KEY = os.getenv("MINIO_ACCESS_KEY", "breakpilot")
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MINIO_SECRET_KEY = os.getenv("MINIO_SECRET_KEY", "breakpilot123")
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MINIO_BUCKET = os.getenv("MINIO_BUCKET", "breakpilot-recordings")
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MINIO_SECURE = os.getenv("MINIO_SECURE", "false").lower() == "true"
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# Default retention period in days (DSGVO compliance)
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DEFAULT_RETENTION_DAYS = int(os.getenv("RECORDING_RETENTION_DAYS", "365"))
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# ==========================================
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# PYDANTIC MODELS
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# ==========================================
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class JibriWebhookPayload(BaseModel):
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"""Webhook payload from Jibri finalize.sh script."""
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event: str = Field(..., description="Event type: recording_completed")
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recording_name: str = Field(..., description="Unique recording identifier")
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storage_path: str = Field(..., description="Path in MinIO bucket")
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audio_path: Optional[str] = Field(None, description="Extracted audio path")
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file_size_bytes: int = Field(..., description="Video file size in bytes")
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timestamp: str = Field(..., description="ISO timestamp of upload")
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class RecordingCreate(BaseModel):
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"""Manual recording creation (for testing)."""
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meeting_id: str
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title: Optional[str] = None
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storage_path: str
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audio_path: Optional[str] = None
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duration_seconds: Optional[int] = None
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participant_count: Optional[int] = 0
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retention_days: Optional[int] = DEFAULT_RETENTION_DAYS
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class RecordingResponse(BaseModel):
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"""Recording details response."""
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id: str
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meeting_id: str
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title: Optional[str]
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storage_path: str
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audio_path: Optional[str]
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file_size_bytes: Optional[int]
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duration_seconds: Optional[int]
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participant_count: int
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status: str
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recorded_at: datetime
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retention_days: int
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retention_expires_at: datetime
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transcription_status: Optional[str] = None
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transcription_id: Optional[str] = None
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class RecordingListResponse(BaseModel):
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"""Paginated list of recordings."""
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recordings: List[RecordingResponse]
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total: int
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page: int
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page_size: int
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class TranscriptionRequest(BaseModel):
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"""Request to start transcription."""
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language: str = Field(default="de", description="Language code: de, en, etc.")
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model: str = Field(default="large-v3", description="Whisper model to use")
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priority: int = Field(default=0, description="Queue priority (higher = sooner)")
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class TranscriptionStatusResponse(BaseModel):
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"""Transcription status and progress."""
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id: str
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recording_id: str
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status: str
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language: str
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model: str
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word_count: Optional[int]
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confidence_score: Optional[float]
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processing_duration_seconds: Optional[int]
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error_message: Optional[str]
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created_at: datetime
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completed_at: Optional[datetime]
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