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from contextlib import asynccontextmanager
from fastapi import Depends, FastAPI, File, Form, UploadFile
from fastapi.exceptions import RequestValidationError
from fastapi.responses import JSONResponse
from fastapi.security import HTTPBearer
from .classify import features
from .config import Settings
from .http_security import Guard
from .ingest import decode_image, encode
from .openai_facade import ChatRequest, completion, image_from_request
from .schemas import OCROptions, RasterPage, SafeError
security = HTTPBearer()
def create_app(settings=None, backend=None):
settings = settings or Settings.from_env()
@asynccontextmanager
async def lifespan(app):
nonlocal backend
if backend is None:
import os
from .adapters.rapidocr_cpu import RapidCPU
cpu_backend = RapidCPU(settings.models_dir)
try:
await cpu_backend.initialize()
except SafeError:
pass
alias_backend = None
openai_url = os.getenv("OPENAI_COMPATIBLE_URL")
openai_key = os.getenv("OPENAI_COMPATIBLE_API")
openai_model = os.getenv("OPENAI_COMPATIBLE_MODEL", "alias-ocr")
if openai_url and openai_key:
from .adapters.freellm_alias import FreeLLMAlias
alias_backend = FreeLLMAlias(openai_url, openai_key)
alias_backend.actual_model = openai_model
try:
await alias_backend.probe()
except SafeError:
pass
class AutoBackend:
def __init__(self, cpu, alias, alias_model):
self.cpu = cpu
self.alias = alias
self.alias_model = alias_model
self.name = "auto"
self.destination = None
self.external = False
async def health(self):
return await self.cpu.health()
async def capabilities(self):
return await self.cpu.capabilities()
async def recognize(self, page, options):
model_id = getattr(options, "_req_model", "ocr-cpu")
if model_id == "ocr-cpu":
return await self.cpu.recognize(page, options)
elif model_id == "ocr-alias":
if not self.alias:
raise SafeError("alias_unconfigured")
if not (await self.alias.health()).ready:
raise SafeError("alias_not_ready")
return await self.alias.recognize(page, options)
else:
try:
return await self.cpu.recognize(page, options)
except Exception:
if (
self.alias
and (await self.alias.health()).ready
and options.sensitivity == "D0"
):
return await self.alias.recognize(page, options)
raise SafeError("model_not_ready") from None
backend = AutoBackend(cpu_backend, alias_backend, openai_model)
app.state.backend = backend
yield
app = FastAPI(title="Authenticated PP-OCRv6 Small worker", version="1.0.0", lifespan=lifespan)
app.add_middleware(
Guard,
token=settings.worker_token,
max_bytes=settings.max_upload,
rate=settings.rate_per_minute,
)
admission = asyncio.Semaphore(1)
@app.exception_handler(SafeError)
async def safe(request, exc):
return JSONResponse(
{"code": exc.code},
status_code=503 if exc.code in ("model_not_ready", "worker_busy") else 422,
)
@app.exception_handler(RequestValidationError)
async def invalid(request, exc):
return JSONResponse({"code": "invalid_request"}, status_code=422)
@app.get("/health")
async def health():
return {"status": "ok"}
@app.get("/ready", dependencies=[Depends(security)])
async def ready():
h = await app.state.backend.health()
return JSONResponse({"ready": h.ready}, status_code=200 if h.ready else 503)
@app.get("/internal/capabilities", dependencies=[Depends(security)])
async def capabilities():
return await app.state.backend.capabilities()
@app.post("/internal/ocr/page", dependencies=[Depends(security)])
async def page(
file: UploadFile = File(...),
request_id: str = Form(""),
options: str = Form("{}"),
):
# Reject rather than grow an unbounded HTTP queue on a two-core worker.
if admission.locked():
await file.close()
raise SafeError("worker_busy", True)
async with admission:
try:
data = await file.read(settings.max_upload + 1)
finally:
await file.close()
if len(data) > settings.max_upload:
raise SafeError("upload_limit")
if len(request_id) > 128 or options != "{}":
raise SafeError("invalid_worker_options")
image = await asyncio.to_thread(decode_image, data, settings.max_pixels)
data = encode(image)
p = RasterPage(
0,
data,
image.width,
image.height,
"worker-page",
features=features(data),
)
if not (await app.state.backend.health()).ready:
raise SafeError("model_not_ready")
return await app.state.backend.recognize(p, OCROptions())
@app.get("/v1/models", dependencies=[Depends(security)])
async def list_models():
models = [
{
"id": "ocr-cpu",
"object": "model",
"created": 1677610602,
"owned_by": "augmentoolkit",
},
{
"id": "ocr-auto",
"object": "model",
"created": 1677610602,
"owned_by": "augmentoolkit",
},
]
if hasattr(app.state.backend, "alias") and app.state.backend.alias:
try:
h = await app.state.backend.alias.health()
if h.ready:
models.append(
{
"id": "ocr-alias",
"object": "model",
"created": 1677610602,
"owned_by": "augmentoolkit",
}
)
except Exception:
pass
return {
"object": "list",
"data": models,
}
@app.get("/v1/ocr/capabilities", dependencies=[Depends(security)])
async def v1_capabilities():
return await app.state.backend.capabilities()
@app.post("/v1/ocr/page", dependencies=[Depends(security)])
async def v1_page(
file: UploadFile = File(...),
sensitivity: str = Form(...),
options: str = Form("{}"),
):
if sensitivity != "D0":
raise SafeError("invalid_worker_options", False)
if admission.locked():
await file.close()
raise SafeError("worker_busy", True)
async with admission:
try:
data = await file.read(settings.max_upload + 1)
finally:
await file.close()
if len(data) > settings.max_upload:
raise SafeError("upload_limit")
from .classify import features
from .ingest import decode_image, encode
# Reject unsupported media by catching errors or doing a quick check
try:
image = await asyncio.to_thread(decode_image, data, settings.max_pixels)
except Exception:
raise SafeError("unsupported_media") from None
data_enc = encode(image)
p = RasterPage(
0,
data_enc,
image.width,
image.height,
"agent-page",
features=features(data_enc),
)
if not (await app.state.backend.health()).ready:
raise SafeError("model_not_ready")
return await app.state.backend.recognize(p, OCROptions(sensitivity="D0"))
@app.post("/v1/chat/completions", dependencies=[Depends(security)])
async def v1_chat_completions(req: ChatRequest):
if req.model not in ("ocr-cpu", "ocr-alias", "ocr-auto"):
raise SafeError("unsupported_model")
if admission.locked():
raise SafeError("worker_busy", True)
async with admission:
if not (await app.state.backend.health()).ready:
raise SafeError("model_not_ready")
try:
data, ext = image_from_request(req, settings.max_upload)
except SafeError as e:
raise e
except Exception:
raise SafeError("unsupported_media") from None
from .classify import features
from .ingest import decode_image, encode
try:
image = await asyncio.to_thread(decode_image, data, settings.max_pixels)
except Exception:
raise SafeError("unsupported_media") from None
data_enc = encode(image)
p = RasterPage(
0,
data_enc,
image.width,
image.height,
"agent-chat-page",
features=features(data_enc),
)
# Force sensitivity to D0
opts = req.ocr_options
opts.sensitivity = "D0"
opts._req_model = req.model
result = await app.state.backend.recognize(p, opts)
return completion(result, req.model)
return app
app = create_app()
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