def setup_class(m_args): """Run the simulation up to module E0 and prepare bus_data for E1""" if os.path.exists(TEST_OUTPUT_PATH): shutil.rmtree(TEST_OUTPUT_PATH, ignore_errors=True) logging.debug("Accessing script: A0_initialization") user_input = A0.process_user_arguments() A1.create_input_json(input_directory=os.path.join( user_input[PATH_INPUT_FOLDER], CSV_ELEMENTS)) logging.debug("Accessing script: B0_data_input_json") dict_values = B0.load_json( user_input[PATH_INPUT_FILE], path_input_folder=user_input[PATH_INPUT_FOLDER], path_output_folder=user_input[PATH_OUTPUT_FOLDER], move_copy=True, set_default_values=True, ) logging.debug("Accessing script: C0_data_processing") C0.all(dict_values) logging.debug("Accessing script: D0_modelling_and_optimization") results_meta, results_main = D0.run_oemof(dict_values) bus_data = {} # Store all information related to busses in bus_data for bus in dict_values[ENERGY_BUSSES]: # Read all energy flows from busses bus_data.update({bus: solph.views.node(results_main, bus)}) # Pickle dump bus data with open(BUS_DATA_DUMP, "wb") as handle: pickle.dump(bus_data, handle, protocol=pickle.HIGHEST_PROTOCOL)
def test_load_json_copies_json_file_to_output_folder(self, m_args): A0.process_user_arguments() A1.create_input_json(input_directory=CSV_PATH, pass_back=True) dict_values = B0.load_json(JSON_CSV_PATH, path_output_folder=self.test_out_path, move_copy=True) assert (os.path.exists( os.path.join( dict_values[SIMULATION_SETTINGS][PATH_OUTPUT_FOLDER_INPUTS], CSV_FNAME, )) is True)
def test_load_json_removes_json_file_from_inputs_folder(self, m_args): A0.process_user_arguments() A1.create_input_json(input_directory=CSV_PATH, pass_back=True) dict_values = B0.load_json(JSON_CSV_PATH, path_output_folder=self.test_out_path, move_copy=True) assert os.path.exists(os.path.join( CSV_PATH, CSV_ELEMENTS, CSV_FNAME, )) is False assert os.path.exists(os.path.join( CSV_PATH, CSV_FNAME, )) is False
def test_create_input_json_required_fields_are_filled(): js_file = A1.create_input_json(input_directory=CSV_PATH, pass_back=True) js = data_input.load_json(js_file) for k in js.keys(): assert k in REQUIRED_CSV_FILES + (PATHS_TO_PLOTS, )
def test_create_input_json_raises_FileNotFoundError_if_missing_required_csv_files( ): with pytest.raises(FileNotFoundError): A1.create_input_json(input_directory=DUMMY_CSV_PATH)
def test_create_input_json_already_existing_json_file_raises_FileExistsError(): with open(os.path.join(CSV_PATH, CSV_FNAME), "w") as of: of.write("something") with pytest.raises(FileExistsError): A1.create_input_json(input_directory=CSV_PATH)
def test_create_input_json_creation_of_json_file(): A1.create_input_json(input_directory=CSV_PATH) assert os.path.exists(os.path.join(CSV_PATH, CSV_FNAME))
def main(**kwargs): r""" Starts MVS tool simulations. Other Parameters ---------------- overwrite : bool, optional Determines whether to replace existing results in `path_output_folder` with the results of the current simulation (True) or not (False). Default: False. pdf_report: bool, optional Can generate an automatic pdf report of the simulation's results (True) or not (False) Default: False. input_type : str, optional Defines whether the input is taken from the `mvs_config.json` file ("json") or from csv files ('csv') located within <path_input_folder>/csv_elements/. Default: 'json'. path_input_folder : str, optional The path to the directory where the input CSVs/JSON files are located. Default: 'inputs/'. path_output_folder : str, optional The path to the directory where the results of the simulation such as the plots, time series, results JSON files are saved by MVS E-Lands. Default: 'MVS_outputs/' display_output : str, optional Sets the level of displayed logging messages. Options: "debug", "info", "warning", "error". Default: "info". lp_file_output : bool, optional Specifies whether linear equation system generated is saved as lp file. Default: False. """ welcome_text = ( "\n \n Multi-Vector Simulation Tool (MVS) V" + version_num + " " + "\n Version: " + version_date + " " + '\n Part of the toolbox of H2020 project "E-LAND", ' + "Integrated multi-vector management system for Energy isLANDs" + "\n Coded at: Reiner Lemoine Institute (Berlin) " + "\n Contributors: Martha M. Hoffmann \n \n ") logging.debug("Accessing script: A0_initialization") user_input = A0.process_user_arguments(welcome_text=welcome_text, **kwargs) # Read all inputs # print("") # # todo: is user input completely used? # dict_values = data_input.load_json(user_input[PATH_INPUT_FILE ]) move_copy_config_file = False if user_input[INPUT_TYPE] == CSV_EXT: logging.debug("Accessing script: A1_csv_to_json") move_copy_config_file = True A1.create_input_json(input_directory=os.path.join( user_input[PATH_INPUT_FOLDER], CSV_ELEMENTS)) logging.debug("Accessing script: B0_data_input_json") dict_values = B0.load_json( user_input[PATH_INPUT_FILE], path_input_folder=user_input[PATH_INPUT_FOLDER], path_output_folder=user_input[PATH_OUTPUT_FOLDER], move_copy=move_copy_config_file, set_default_values=True, ) F0.store_as_json( dict_values, dict_values[SIMULATION_SETTINGS][PATH_OUTPUT_FOLDER_INPUTS], MVS_CONFIG, ) print("") logging.debug("Accessing script: C0_data_processing") C0.all(dict_values) F0.store_as_json( dict_values, dict_values[SIMULATION_SETTINGS][PATH_OUTPUT_FOLDER], JSON_PROCESSED, ) if "path_pdf_report" in user_input or "path_png_figs" in user_input: save_energy_system_graph = True else: save_energy_system_graph = False print("") logging.debug("Accessing script: D0_modelling_and_optimization") results_meta, results_main = D0.run_oemof( dict_values, save_energy_system_graph=save_energy_system_graph, ) print("") logging.debug("Accessing script: E0_evaluation") E0.evaluate_dict(dict_values, results_main, results_meta) logging.debug("Accessing script: F0_outputs") F0.evaluate_dict( dict_values, path_pdf_report=user_input.get("path_pdf_report", None), path_png_figs=user_input.get("path_png_figs", None), ) return 1