Add service platform foundation

app/api/ocr.py

@@ -6,6 +6,7 @@ from pydantic import BaseModel
 
 from app.api.deps import get_current_telegram_user
 from app.models.user import User
+from app.services.ocr_provider import get_ocr_provider
 
 router = APIRouter(prefix="/ocr", tags=["ocr"])
 
@@ -19,6 +20,17 @@ class ReceiptSuggestion(BaseModel):
     message: str
 
 
+class OCRCandidateRead(BaseModel):
+    type: str
+    value: str
+    confidence: float
+
+
+class OCRResultRead(BaseModel):
+    recognized_text: str
+    candidates: list[OCRCandidateRead]
+
+
 @router.post("/parse-text-receipt", response_model=ReceiptSuggestion)
 async def parse_text_receipt(
     file: UploadFile = File(...),
@@ -81,6 +93,42 @@ async def scan_fuel_receipt(
     return await parse_text_receipt(file, current_user)
 
 
+@router.post("/license-plate", response_model=OCRResultRead)
+async def recognize_license_plate(
+    file: UploadFile = File(...),
+    current_user: User = Depends(get_current_telegram_user),
+) -> OCRResultRead:
+    result = await get_ocr_provider().recognize(await file.read(), file.filename)
+    return OCRResultRead(
+        recognized_text=result.recognized_text,
+        candidates=[OCRCandidateRead(**item.__dict__) for item in result.candidates if item.type == "license_plate"],
+    )
+
+
+@router.post("/vin", response_model=OCRResultRead)
+async def recognize_vin(
+    file: UploadFile = File(...),
+    current_user: User = Depends(get_current_telegram_user),
+) -> OCRResultRead:
+    result = await get_ocr_provider().recognize(await file.read(), file.filename)
+    return OCRResultRead(
+        recognized_text=result.recognized_text,
+        candidates=[OCRCandidateRead(**item.__dict__) for item in result.candidates if item.type == "vin"],
+    )
+
+
+@router.post("/service-document", response_model=OCRResultRead)
+async def recognize_service_document(
+    file: UploadFile = File(...),
+    current_user: User = Depends(get_current_telegram_user),
+) -> OCRResultRead:
+    result = await get_ocr_provider().recognize(await file.read(), file.filename)
+    return OCRResultRead(
+        recognized_text=result.recognized_text,
+        candidates=[OCRCandidateRead(**item.__dict__) for item in result.candidates],
+    )
+
+
 def detect_station(text: str) -> str | None:
     stations = {
         "shell": "Shell",