fix: logging fixes

preprocessors/autour/autour.py

@@ -23,7 +23,7 @@
 from flask import Flask, request, jsonify
 
 app = Flask(__name__)
-
+logging.basicConfig(level=logging.DEBUG)
 
 @app.route('/preprocessor', methods=['POST', 'GET'])
 def get_map_data():

preprocessors/collage-detector/detect.py

@@ -25,6 +25,7 @@
 import time
 
 app = Flask(__name__)
+logging.basicConfig(level=logging.DEBUG)
 
 
 @app.route('/preprocessor', methods=['POST'])

preprocessors/content-categoriser/categoriser.py

@@ -27,6 +27,7 @@
 import base64
 
 app = Flask(__name__)
+logging.basicConfig(level=logging.DEBUG)
 
 
 class Net(pl.LightningModule):

preprocessors/depth-map-gen/depth-map-generator.py

@@ -32,6 +32,7 @@
 from lib.multi_depth_model_woauxi import RelDepthModel
 
 app = Flask(__name__)
+logging.basicConfig(level=logging.DEBUG)
 
 
 def parse_args():

preprocessors/graphic-tagger/azure_api.py

@@ -28,6 +28,7 @@
 from flask import Flask, request, jsonify
 
 app = Flask(__name__)
+logging.basicConfig(level=logging.DEBUG)
 
 # extract the required results from the API returned values
 

preprocessors/grouping/grouping.py

@@ -25,6 +25,7 @@
 
 
 app = Flask(__name__)
+logging.basicConfig(level=logging.DEBUG)
 
 
 def calculate_diagonal(x1, y1, x2, y2):

preprocessors/ner/ner.py

@@ -33,6 +33,7 @@
 
 nltk.download('punkt')
 app = Flask(__name__)
+logging.basicConfig(level=logging.DEBUG)
 
 # using python's tmp file to store the image and context json
 dir_prefix = 'ner_'

preprocessors/object-depth-calculator/object-depth-calculator.py

@@ -21,13 +21,15 @@
 import time
 import jsonschema
 import base64
+import logging
 
 app = Flask(__name__)
+logging.basicConfig(level=logging.DEBUG)
 
 
 @app.route("/preprocessor", methods=['POST', ])
 def objectdepth():
-    app.logger.debug("Received request")
+    logging.debug("Received request")
     # load the schema
     with open('./schemas/preprocessors/object-depth-calculator.schema.json') \
             as jsonfile:
@@ -53,19 +55,19 @@ def objectdepth():
         validator = jsonschema.Draft7Validator(first_schema, resolver=resolver)
         validator.validate(content)
     except jsonschema.exceptions.ValidationError as e:
-        app.logger.error(e)
+        logging.error(e)
         return jsonify("Invalid Preprocessor JSON format"), 400
     # check for depth-map
     if ("ca.mcgill.a11y.image.preprocessor.depth-map-gen"
             not in content["preprocessors"]):
-        app.logger.info("Request does not contain a depth-map. Skipping...")
+        logging.info("Request does not contain a depth-map. Skipping...")
         return "", 204  # No content
-    app.logger.debug("passed depth-map check")
+    logging.debug("passed depth-map check")
     if ("ca.mcgill.a11y.image.preprocessor.objectDetection"
             not in content["preprocessors"]):
-        app.logger.info("Request does not contain objects. Skipping...")
+        logging.info("Request does not contain objects. Skipping...")
         return "", 204  # No content
-    app.logger.debug("passed objects check")
+    logging.debug("passed objects check")
 
     if "dimensions" in content:
         # If an existing graphic exists, often it is
@@ -74,7 +76,7 @@ def objectdepth():
         # developer.mozilla.org/en-US/docs/Web/SVG/Tutorial/Positions
         dimensions = content["dimensions"]
     else:
-        app.logger.debug("Dimensions are not defined")
+        logging.debug("Dimensions are not defined")
         response = {
             "request_uuid": content["request_uuid"],
             "timestamp": int(time.time()),
@@ -85,9 +87,9 @@ def objectdepth():
                 schema, resolver=resolver)
             validator.validate(response)
         except jsonschema.exceptions.ValidationError as error:
-            app.logger.error(error)
+            logging.error(error)
             return jsonify("Invalid Preprocessor JSON format"), 500
-        app.logger.debug("Sending response")
+        logging.debug("Sending response")
         return response
 
     request_uuid = content["request_uuid"]
@@ -111,7 +113,7 @@ def objectdepth():
     print(dimensions[0], dimensions[1])
     obj_depth = []
 
-    app.logger.debug("number of objects")
+    logging.debug("number of objects")
     if (len(objects) > 0):
         for i in range(len(objects)):
             x1 = int(objects[i]['dimensions'][0] * dimensions[0])
@@ -123,11 +125,11 @@ def objectdepth():
 
             depth = np.nanmedian(depthcomp)
             if np.isnan(depth):
-                app.logger.error("NAN depth value")
-                app.logger.debug("Ojbect #")
-                app.logger.debug(str(i))
-                app.logger.debug(str(x1))
-                app.logger.debug(str(x2))
+                logging.error("NAN depth value")
+                logging.debug("Ojbect #")
+                logging.debug(str(i))
+                logging.debug(str(x1))
+                logging.debug(str(x2))
                 depth = 1
 
             dictionary = {"ID": objects[i]["ID"],
@@ -140,7 +142,7 @@ def objectdepth():
         validator = jsonschema.Draft7Validator(data_schema)
         validator.validate(obj_depth_output)
     except jsonschema.exceptions.ValidationError as e:
-        app.logger.error(e)
+        logging.error(e)
         return jsonify("Invalid Preprocessor JSON format"), 500
     response = {
         "request_uuid": request_uuid,
@@ -152,9 +154,9 @@ def objectdepth():
         validator = jsonschema.Draft7Validator(schema, resolver=resolver)
         validator.validate(response)
     except jsonschema.exceptions.ValidationError as e:
-        app.logger.error(e)
+        logging.error(e)
         return jsonify("Invalid Preprocessor JSON format"), 500
-    app.logger.debug("Sending response")
+    logging.debug("Sending response")
     return response
 
 

preprocessors/object-detection-azure/objdetect.py

@@ -25,6 +25,7 @@
 from flask import Flask, request, jsonify
 
 app = Flask(__name__)
+logging.basicConfig(level=logging.DEBUG)
 
 # load the schema
 with open('./schemas/preprocessors/object-detection.schema.json') \

preprocessors/ocr/ocr.py

@@ -33,6 +33,7 @@
 )
 
 app = Flask(__name__)
+logging.basicConfig(level=logging.DEBUG)
 
 
 @app.route('/preprocessor', methods=['POST', 'GET'])

preprocessors/sorting/sorting.py

@@ -23,6 +23,7 @@
 
 
 app = Flask(__name__)
+logging.basicConfig(level=logging.DEBUG)
 
 # this function determines the size of bounding box
 

preprocessors/yolov8/detect.py

@@ -36,6 +36,7 @@
 
 os.environ['KMP_DUPLICATE_LIB_OK'] = 'True'
 app = Flask(__name__)
+logging.basicConfig(level=logging.DEBUG)
 
 c_thres = 0.75