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= ">=3.9.1,<5" [package.extras] docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"] @@ -3684,4 +3675,4 @@ watchdog = ["watchdog (>=2.3)"] [metadata] lock-version = "2.0" python-versions = "^3.11" -content-hash = "9b6ff24125f71cb60ceb3203435da0ae835b3b37a396c9fb4a3272704a8d9853" +content-hash = "f71c136b8cc6a4bc0c262f9a4991e4ca9c3b26efb91206b690ac360c43d2248b" diff --git a/pyproject.toml b/pyproject.toml index 8530f91570..28445f524d 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -49,9 +49,7 @@ requests = "~2.31.0" peewee = "~3.16.3" psycopg2-binary = "~2.9.1" gunicorn = "~20.1.0" -falcon = "~2.0.0" -falcon-cors = "~1.1.7" -falcon-multipart = "~0.2.0" +falcon = "~3.1.3" elasticsearch = "~8.5.3" pymongo = "~4.5.0" dacite = "~1.6.0" diff --git a/robotoff/app/api.py b/robotoff/app/api.py index 22feba3aa5..d4eb61485e 100644 --- a/robotoff/app/api.py +++ b/robotoff/app/api.py @@ -16,8 +16,6 @@ import peewee import requests from falcon.media.validators import jsonschema -from falcon_cors import CORS -from falcon_multipart.middleware import MultipartMiddleware from openfoodfacts import OCRResult from openfoodfacts.ocr import OCRParsingException, OCRResultGenerationException from openfoodfacts.types import COUNTRY_CODE_TO_NAME, Country @@ -111,8 +109,9 @@ def get_server_type_from_req( ) -> ServerType: """Get `ServerType` value from POST x-www-form-urlencoded or GET requests.""" - if req.media and "server_type" in req.media: - server_type_str = req.media["server_type"] + media = req.get_media(default_when_empty=None) + if media is not None and "server_type" in media: + server_type_str = media["server_type"] else: server_type_str = req.get_param("server_type") @@ -578,26 +577,27 @@ class CategoryPredictorResource: def on_post(self, req: falcon.Request, resp: falcon.Response): """Predict categories using neural categorizer and matching algorithm for a specific product.""" - server_type: ServerType = ServerType[req.media.get("server_type", "off")] + server_type = get_server_type_from_req(req) if server_type != ServerType.off: raise falcon.HTTPBadRequest( f"category predictor is only available for 'off' server type (here: '{server_type.name}')" ) + media = req.get_media() neural_model_name = None - if (neural_model_name_str := req.media.get("neural_model_name")) is not None: + if (neural_model_name_str := media.get("neural_model_name")) is not None: neural_model_name = NeuralCategoryClassifierModel[neural_model_name_str] - if "barcode" in req.media: + if "barcode" in media: # Fetch product from DB - barcode: str = req.media["barcode"] + barcode: str = media["barcode"] product = get_product(ProductIdentifier(barcode, server_type)) or {} if not product: raise falcon.HTTPNotFound(description=f"product {barcode} not found") product_id = ProductIdentifier(barcode, server_type) else: - product = req.media["product"] + product = media["product"] product_id = ProductIdentifier("NULL", server_type) if (ingredient_tags := product.pop("ingredients_tags", None)) is not None: @@ -607,8 +607,8 @@ def on_post(self, req: falcon.Request, resp: falcon.Response): resp.media = predict_category( product, product_id, - deepest_only=req.media.get("deepest_only", False), - threshold=req.media.get("threshold"), + deepest_only=media.get("deepest_only", False), + threshold=media.get("threshold"), neural_model_name=neural_model_name, clear_cache=True, # clear resource cache to save memory ) @@ -798,8 +798,9 @@ def on_post(self, req: falcon.Request, resp: falcon.Response): server_type = get_server_type_from_req(req) timestamp = datetime.datetime.utcnow() inserts = [] + media = req.get_media() - for prediction in req.media["predictions"]: + for prediction in media["predictions"]: product_id = ProductIdentifier(prediction["barcode"], server_type) source_image = generate_image_path(product_id, prediction.pop("image_id")) inserts.append( @@ -1044,6 +1045,7 @@ def on_get(self, req: falcon.Request, resp: falcon.Response, logo_id: int): @jsonschema.validate(schema.UPDATE_LOGO_SCHEMA) def on_put(self, req: falcon.Request, resp: falcon.Response, logo_id: int): auth = parse_auth(req) + media = req.get_media() if auth is None: raise falcon.HTTPForbidden( description="authentication is required to annotate logos" @@ -1055,8 +1057,8 @@ def on_put(self, req: falcon.Request, resp: falcon.Response, logo_id: int): resp.status = falcon.HTTP_404 return - type_ = req.media["type"] - value = req.media.get("value") or None + type_ = media["type"] + value = media.get("value") or None check_logo_annotation(type_, value) if type_ != logo.annotation_type or value != logo.annotation_value: @@ -1127,12 +1129,13 @@ class ImageLogoAnnotateResource: @jsonschema.validate(schema.ANNOTATE_LOGO_SCHEMA) def on_post(self, req: falcon.Request, resp: falcon.Response): auth = parse_auth(req) + media = req.get_media() if auth is None: raise falcon.HTTPForbidden( description="authentication is required to annotate logos" ) - server_type: ServerType = ServerType[req.media.get("server_type", "off")] - annotations = req.media["annotations"] + server_type = get_server_type_from_req(req) + annotations = media["annotations"] completed_at = datetime.datetime.utcnow() annotation_logos = [] @@ -1800,16 +1803,19 @@ def on_get(self, req: falcon.Request, resp: falcon.Response): resp.status = falcon.HTTP_200 -cors = CORS( - allow_all_origins=True, - allow_all_headers=True, - allow_all_methods=True, - allow_credentials_all_origins=True, - max_age=600, -) +def custom_handle_uncaught_exception( + req: falcon.Request, resp: falcon.Response, ex: Exception, params +): + """Handle uncaught exceptions and log them. Return a 500 error to the + client.""" + raise falcon.HTTPInternalServerError(description=str(ex)) + -api = falcon.API( - middleware=[cors.middleware, MultipartMiddleware(), DBConnectionMiddleware()] +api = falcon.App( + middleware=[ + falcon.CORSMiddleware(allow_origins="*", allow_credentials="*"), + DBConnectionMiddleware(), + ], ) json_handler = falcon.media.JSONHandler(dumps=orjson.dumps, loads=orjson.loads) @@ -1817,6 +1823,7 @@ def on_get(self, req: falcon.Request, resp: falcon.Response): "application/json": json_handler, } +api.req_options.media_handlers.update(extra_handlers) api.resp_options.media_handlers.update(extra_handlers) # Parse form parameters diff --git a/tests/integration/test_api.py b/tests/integration/test_api.py index 66a351addc..5306e704f0 100644 --- a/tests/integration/test_api.py +++ b/tests/integration/test_api.py @@ -3,6 +3,7 @@ from datetime import datetime import pytest +import requests from falcon import testing from robotoff.app import events @@ -1252,6 +1253,18 @@ def test_predict_lang(client, mocker): assert result.json == {"predictions": expected_predictions} +def test_predict_lang_http_error(client, mocker): + mocker.patch( + "robotoff.app.api.predict_lang", + side_effect=requests.exceptions.ConnectionError("A connection error occurred"), + ) + result = client.simulate_get( + "/api/v1/predict/lang", params={"text": "hello", "k": 2} + ) + assert result.status_code == 500 + assert result.json == {"title": "500 Internal Server Error"} + + def test_predict_product_language(client, peewee_db): barcode = "123456789" prediction_data_1 = {"count": {"en": 10, "fr": 5, "es": 3, "words": 18}}