6737bd6db5
Python microservice (ocr-service/): - FastAPI app with /ocr and /health endpoints - Surya engine: transformer-based OCR for typewritten/modern handwriting - Kraken engine: historical HTR for Kurrent/Suetterlin with pure-Python polygon-to-quad approximation (gift wrapping + rotating calipers) - Eager model loading at startup via lifespan context manager - PDF download via httpx, page rendering via pypdfium2 at 300 DPI Java RestClientOcrClient: - Implements OcrClient + OcrHealthClient interfaces - Calls Python service via Spring RestClient - Health check with graceful fallback Docker Compose: - New ocr-service container (mem_limit 6g, no host ports) - Health check with start_period 60s for model loading - ocr_models volume for Kraken model files - Backend depends on ocr-service health Refs #226, #227 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
21 lines
454 B
Python
21 lines
454 B
Python
from pydantic import BaseModel, Field
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class OcrRequest(BaseModel):
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pdf_url: str = Field(..., alias="pdfUrl")
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script_type: str = Field("UNKNOWN", alias="scriptType")
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language: str = "de"
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class OcrBlock(BaseModel):
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page_number: int = Field(..., alias="pageNumber")
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x: float
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y: float
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width: float
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height: float
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polygon: list[list[float]] | None = None
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text: str
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class Config:
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populate_by_name = True
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