Removes run -o parameters

config.py

@@ -2,7 +2,6 @@ import json
 import os
 import warnings
 
-from gedi.utils.io_helpers import sort_files
 from tqdm import tqdm
 from utils.param_keys import INPUT_NAME, FILENAME, FOLDER_PATH, PARAMS
 
@@ -22,67 +21,3 @@ def get_model_params_list(alg_json_file: str) :#-> list[dict]:
         return [
             {ALGORITHM_NAME: 'pca', NDIM: TENSOR_NDIM},
             ]
-def get_run_params(alg_params_json: str) -> dict:
-    """
-    Loads the running configuration given from a json file or the default dictionary from the code.
-    @param alg_params_json: str
-        Path to the json data with the running configuration
-    @return: dict
-        Running Configuration
-    """
-    if alg_params_json is not None:
-        return json.load(open(alg_params_json))
-    else:
-        warnings.warn('The default run option is used instead of a .json-file.\n'
-                      '  Use a configuration from the `config_files`-folder together with the args `-o`.')
-        return {
-            RUN_OPTION: COMPARE,
-            PLOT_TYPE: COLOR_MAP,  # 'heat_map', 'color_map', '3d_map', 'explained_var_plot'
-            PLOT_TICS: True,
-            N_COMPONENTS: 2,
-            INPUT_NAME: 'runningExample',
-            SAVE_RESULTS: True,
-            LOAD_RESULTS: True
-        }
-
-def get_files_and_kwargs(params: dict):
-    """
-    This method returns the filename list of the trajectory and generates the kwargs for the DataTrajectory.
-    The method is individually created for the available data set.
-    Add new trajectory options, if different data set are used.
-    @param params: dict
-        running configuration
-    @return: tuple
-        list of filenames of the trajectories AND
-        kwargs with the important arguments for the classes
-    """
-    try:
-        input_name = params[INPUT_NAME]
-    except KeyError as e:
-        raise KeyError(f'Run option parameter is missing the key: `{e}`. This parameter is mandatory.')
-
-    #TODO: generate parent directories if they don't exist
-    if input_name == 'test':
-        filename_list = list(tqdm(sort_files(os.listdir('data/test'))))
-        kwargs = {FILENAME: filename_list, FOLDER_PATH: 'data/test'}
-    elif input_name == 'realLogs':
-        filename_list = list(tqdm(sort_files(os.listdir('data/real_event_logs'))))
-        kwargs = {FILENAME: filename_list, FOLDER_PATH: 'data/real_event_logs'}
-    elif input_name == 'gen5':
-        filename_list = list(tqdm(sort_files(os.listdir('data/event_log'))))[:5]
-        kwargs = {FILENAME: filename_list, FOLDER_PATH: 'data/event_log'}
-    elif input_name == 'gen20':
-        filename_list = list(tqdm(sort_files(os.listdir('data/event_log'))))[:20]
-        kwargs = {FILENAME: filename_list, FOLDER_PATH: 'data/event_log'}
-    elif input_name == 'runningExample':
-        filename_list = ['running-example.xes']
-        kwargs = {FILENAME: filename_list[0], FOLDER_PATH: 'data/'}
-    elif input_name == 'metaFeatures':
-        filename_list = ['log_features.csv']
-        kwargs = {FILENAME: filename_list[0], FOLDER_PATH: 'results/'}
-    else:
-        raise ValueError(f'No data trajectory was found with the name `{input_name}`.')
-
-    #filename_list.pop(file_element)
-    kwargs[PARAMS] = params
-    return filename_list, kwargs

gedi/features.py

@@ -28,7 +28,7 @@ class EventLogFile:
         return str(os.path.join(self.root_path, self.filename))
 
 class EventLogFeatures(EventLogFile):
-    def __init__(self, filename, folder_path='data/event_log', params=None, logs=None, ft_params=None):
+    def __init__(self, filename=None, folder_path='data/event_log', params=None, logs=None, ft_params=None):
         super().__init__(filename, folder_path)
         if ft_params == None:
             self.params = None

main.py

@@ -22,7 +22,7 @@ def run(kwargs:dict, model_paramas_list: list, filename_list:list):
     @return:
     """
     params = kwargs[PARAMS]
-    run_option = params[RUN_OPTION]
+    run_option = 'baseline'
     ft = EventLogFeatures(None)
     augmented_ft = InstanceAugmentator()
     gen = pd.DataFrame(columns=['log'])
@@ -60,13 +60,7 @@ if __name__=='__main__':
     print(f'INFO: GEDI starting {start_gedi}')
 
     args = ArgParser().parse('GEDI main')
-    run_params = config.get_run_params(args.run_params_json)
-    filename_list, kwargs = config.get_files_and_kwargs(run_params)
-
-    if args.result_load_files is None:
-        model_params_list = config.get_model_params_list(args.alg_params_json)
-        run(kwargs, model_params_list, filename_list)
-    else:
-        load(args.result_load_files, kwargs)
+    model_params_list = config.get_model_params_list(args.alg_params_json)
+    run({'params':""}, model_params_list, [])
 
     print(f'SUCCESS: GEDI took {dt.now()-start_gedi} sec.')