fix: bugs raised by pylint

I formated incorrect logging info messages, species values retrieved from widgets, removed unnecessary functions for tut#5, 6 and 7,
and 8

kso_utils/movie_utils.py

@@ -145,9 +145,7 @@ def movies_in_movie_folder(project: Project, db_connection, server_connection: d
         mov_folder_df = pd.Series(available_movies_list, name="fpath").to_frame()
 
     else:
-        raise ValueError(
-            f"Unsupported server type: {project.server}. Supported servers are {server_types}."
-        )
+        raise ValueError(f"Unsupported server type: {project.server}")
 
     return mov_folder_df
 
@@ -416,7 +414,7 @@ def write_movie_frames(key_movie_df: pd.DataFrame, url: str):
                         f"No frame was extracted for {url} at frame {row['frame_number']}"
                     )
     else:
-        logging.info("Missing movie", url)
+        logging.info(f"Missing movie {url}")
 
 
 def get_movie_extensions():
@@ -464,7 +462,7 @@ def convert_video(
         conv_fpath = os.path.join(conv_filename)
 
     else:
-        logging.error("The path to", movie_path, " is invalid")
+        logging.error(f"The path to {movie_path} is invalid")
 
     if gpu_available and compression:
         subprocess.call(

kso_utils/project.py

@@ -671,13 +671,13 @@ def upload_zoo_subjects(self, subject_type: str):
                 project=self.project,
                 db_connection=self.db_connection,
                 df=self.generated_frames,
-                species_list=self.species_of_interest.value,
+                species_list=self.species_of_interest,
                 csv_paths=self.csv_paths,
             )
             zoo_utils.upload_frames_to_zooniverse(
                 project=self.project,
                 upload_to_zoo=upload_df,
-                species_list=self.species_of_interest.value,
+                species_list=self.species_of_interest,
             )
 
         else:
@@ -759,7 +759,7 @@ def extract_zoo_frames(
         if test:
             species_list = self.aggregated_zoo_classifications.label.unique().tolist()
         else:
-            species_list = self.species_of_interest.value
+            species_list = self.species_of_interest
 
         self.generated_frames = zoo_utils.extract_frames_for_zoo(
             project=self.project,
@@ -800,7 +800,7 @@ def on_button_clicked(b):
                 self.modified_frames = zoo_utils.modify_frames(
                     project=self.project,
                     frames_to_upload_df=self.generated_frames.reset_index(drop=True),
-                    species_i=self.species_of_interest.value,
+                    species_i=self.species_of_interest,
                     modification_details=frame_modification.checks,
                 )
 
@@ -919,51 +919,6 @@ def on_button_clicked(b):
         display(frame_modification)
         display(button)
 
-    #############
-    # t5, t6, t7
-    #############
-
-    def get_team_name(self):
-        """
-        > If the project name is "Spyfish_Aotearoa", return "wildlife-ai", otherwise return "koster"
-
-        :param project_name: The name of the project you want to get the data from
-        :type project_name: str
-        :return: The team name is being returned.
-        """
-
-        if self.project.Project_name == "Spyfish_Aotearoa":
-            return "wildlife-ai"
-        else:
-            return "koster"
-
-    def get_ml_data(self):
-        # get template ml data
-        pass
-
-    def process_image(self):
-        # code for processing image goes here
-        pass
-
-    def prepare_metadata(self):
-        # code for preparing metadata goes here
-        pass
-
-    def prepare_movies(self):
-        # code for preparing movie files (standardising formats)
-        pass
-
-    def check_frames_uploaded(self):
-        """
-        This function checks if the frames in the frames_to_upload_df dataframe have been uploaded to
-        the database
-        """
-        t_utils.check_frames_uploaded(
-            self.project,
-            self.frames_to_upload_df,
-            self.species_of_interest,
-        )
-
     #############
     # t8
     #############
@@ -1649,11 +1604,6 @@ def fiftyone_annotate(self):
         # Save the annotations
         dataset.save()
 
-    def annotate(self, autolabel_model: str = None):
-        return t_utils.get_annotator(
-            self.images_path, self.potential_labels, autolabel_model
-        )
-
     def load_annotations(self):
         images = sorted(
             [

kso_utils/zooniverse_utils.py

@@ -1689,9 +1689,7 @@ def check_frames_uploaded(
             logging.error("All of the frames you have selected are already uploaded.")
         else:
             logging.info(
-                "There are",
-                len(frames_df),
-                "frames with the species of interest not uploaded to Zooniverse yet.",
+                f"There are {len(frames_df)} frames with the species of interest not uploaded to Zooniverse yet.",
             )
 
     else: