some changes on api services

- exception handling added in service
- new folder structure for api

api/src/app.py

@@ -1,6 +1,6 @@
 # 3rd parth dependencies
 from flask import Flask
-from routes import blueprint
+from modules.core.routes import blueprint
 
 
 def create_app():

api/src/modules/core/routes.py

@@ -1,5 +1,8 @@
 from flask import Blueprint, request
-import service
+from modules.core import service
+from deepface.commons.logger import Logger
+
+logger = Logger(module="api/src/routes.py")
 
 blueprint = Blueprint("routes", __name__)
 
@@ -16,7 +19,7 @@ def represent():
     if input_args is None:
         return {"message": "empty input set passed"}
 
-    img_path = input_args.get("img")
+    img_path = input_args.get("img") or input_args.get("img_path")
     if img_path is None:
         return {"message": "you must pass img_path input"}
 
@@ -33,6 +36,8 @@ def represent():
         align=align,
     )
 
+    logger.debug(obj)
+
     return obj
 
 
@@ -43,8 +48,8 @@ def verify():
     if input_args is None:
         return {"message": "empty input set passed"}
 
-    img1_path = input_args.get("img1_path")
-    img2_path = input_args.get("img2_path")
+    img1_path = input_args.get("img1") or input_args.get("img1_path")
+    img2_path = input_args.get("img2") or input_args.get("img2_path")
 
     if img1_path is None:
         return {"message": "you must pass img1_path input"}
@@ -68,7 +73,7 @@ def verify():
         enforce_detection=enforce_detection,
     )
 
-    verification["verified"] = str(verification["verified"])
+    logger.debug(verification)
 
     return verification
 
@@ -80,7 +85,7 @@ def analyze():
     if input_args is None:
         return {"message": "empty input set passed"}
 
-    img_path = input_args.get("img_path")
+    img_path = input_args.get("img") or input_args.get("img_path")
     if img_path is None:
         return {"message": "you must pass img_path input"}
 
@@ -97,4 +102,6 @@ def analyze():
         align=align,
     )
 
+    logger.debug(demographies)
+
     return demographies

api/src/modules/core/service.py

@@ -0,0 +1,54 @@
+from deepface import DeepFace
+
+# pylint: disable=broad-except
+
+
+def represent(img_path, model_name, detector_backend, enforce_detection, align):
+    try:
+        result = {}
+        embedding_objs = DeepFace.represent(
+            img_path=img_path,
+            model_name=model_name,
+            detector_backend=detector_backend,
+            enforce_detection=enforce_detection,
+            align=align,
+        )
+        result["results"] = embedding_objs
+        return result
+    except Exception as err:
+        return {"error": f"Exception while representing: {str(err)}"}, 400
+
+
+def verify(
+    img1_path, img2_path, model_name, detector_backend, distance_metric, enforce_detection, align
+):
+    try:
+        obj = DeepFace.verify(
+            img1_path=img1_path,
+            img2_path=img2_path,
+            model_name=model_name,
+            detector_backend=detector_backend,
+            distance_metric=distance_metric,
+            align=align,
+            enforce_detection=enforce_detection,
+        )
+        return obj
+    except Exception as err:
+        return {"error": f"Exception while verifying: {str(err)}"}, 400
+
+
+def analyze(img_path, actions, detector_backend, enforce_detection, align):
+    try:
+        result = {}
+        demographies = DeepFace.analyze(
+            img_path=img_path,
+            actions=actions,
+            detector_backend=detector_backend,
+            enforce_detection=enforce_detection,
+            align=align,
+            silent=True,
+        )
+        result["results"] = demographies
+        return result
+    except Exception as err:
+        return {"error": f"Exception while analyzing: {str(err)}"}, 400

api/src/service.py

@@ -1,42 +0,0 @@
-from deepface import DeepFace
-
-
-def represent(img_path, model_name, detector_backend, enforce_detection, align):
-    result = {}
-    embedding_objs = DeepFace.represent(
-        img_path=img_path,
-        model_name=model_name,
-        detector_backend=detector_backend,
-        enforce_detection=enforce_detection,
-        align=align,
-    )
-    result["results"] = embedding_objs
-    return result
-
-
-def verify(
-    img1_path, img2_path, model_name, detector_backend, distance_metric, enforce_detection, align
-):
-    obj = DeepFace.verify(
-        img1_path=img1_path,
-        img2_path=img2_path,
-        model_name=model_name,
-        detector_backend=detector_backend,
-        distance_metric=distance_metric,
-        align=align,
-        enforce_detection=enforce_detection,
-    )
-    return obj
-
-
-def analyze(img_path, actions, detector_backend, enforce_detection, align):
-    result = {}
-    demographies = DeepFace.analyze(
-        img_path=img_path,
-        actions=actions,
-        detector_backend=detector_backend,
-        enforce_detection=enforce_detection,
-        align=align,
-    )
-    result["results"] = demographies
-    return result