""" Project: PARTS Website Author: Edward Middleton-Smith Precision And Research Technology Systems Limited Technology: View Models Feature: Dog Assessments View Model Description: Data model for dog assessments view """ # internal from business_objects.dog.assessment import Assessment, Parameters_Assessment from business_objects.dog.assessment_command_link import Assessment_Command_Link, Parameters_Assessment_Command_Link from business_objects.dog.assessment_command_modality_link import Assessment_Command_Modality_Link, Parameters_Assessment_Command_Modality_Link from business_objects.dog.assessment_command_technique_link import Assessment_Command_Technique_Link, Parameters_Assessment_Command_Technique_Link from business_objects.dog.assessment_response import Assessment_Response, Parameters_Assessment_Response from business_objects.dog.assessment_type import Assessment_Type, Parameters_Assessment_Type from business_objects.dog.command import Command, Parameters_Command from business_objects.dog.command_category import Command_Category from business_objects.dog.command_modality import Command_Modality, Parameters_Command_Modality from business_objects.dog.distraction import Distraction, Parameters_Distraction from business_objects.dog.distraction_intensity_level import Distraction_Intensity_Level, Parameters_Distraction_Intensity_Level from business_objects.dog.distraction_type import Distraction_Type, Parameters_Distraction_Type from business_objects.dog.lighting_level import Lighting_Level, Parameters_Lighting_Level from business_objects.dog.location import Location, Parameters_Location from business_objects.dog.obedience_level import Obedience_Level, Parameters_Obedience_Level from business_objects.dog.reinforcement_schedule import Reinforcement_Schedule, Parameters_Reinforcement_Schedule from business_objects.dog.response_quality_metric import Response_Quality_Metric, Parameters_Response_Quality_Metric from business_objects.dog.training_technique import Training_Technique, Parameters_Training_Technique from business_objects.dog.user import User, Parameters_User from business_objects.dog.weather import Weather, Parameters_Weather from datastores.datastore_dog import DataStore_Dog from datastores.datastore_user import DataStore_User from models.model_view_dog_base import Model_View_Dog_Base from forms.dog.assessment import Filters_Assessment # from routes import bp_home from helpers.helper_app import Helper_App import lib.argument_validation as av # external from pydantic import BaseModel from typing import ClassVar, Optional from operator import attrgetter class Model_View_Dog_Assessment(Model_View_Dog_Base): FLAG_DISTANCE_FROM_HANDLER_METRES: ClassVar[str] = Assessment_Command_Link.FLAG_DISTANCE_FROM_HANDLER_METRES FLAG_DISTRACTION_INTENSITY_LEVEL_EMOTIONAL: ClassVar[str] = Distraction.FLAG_DISTRACTION_INTENSITY_LEVEL_EMOTIONAL FLAG_DISTRACTION_INTENSITY_LEVEL_SCENT: ClassVar[str] = Distraction.FLAG_DISTRACTION_INTENSITY_LEVEL_SCENT FLAG_DISTRACTION_INTENSITY_LEVEL_SIGHT: ClassVar[str] = Distraction.FLAG_DISTRACTION_INTENSITY_LEVEL_SIGHT FLAG_DISTRACTION_INTENSITY_LEVEL_SOUND: ClassVar[str] = Distraction.FLAG_DISTRACTION_INTENSITY_LEVEL_SOUND FLAG_DISTRACTION_INTENSITY_LEVEL_TOUCH: ClassVar[str] = Distraction.FLAG_DISTRACTION_INTENSITY_LEVEL_TOUCH FLAG_IS_IN_HEARING_RANGE_OF_HANDLER: ClassVar[str] = Assessment_Command_Link.FLAG_IS_IN_HEARING_RANGE_OF_HANDLER FLAG_IS_IN_SCENT_RANGE_OF_HANDLER: ClassVar[str] = Assessment_Command_Link.FLAG_IS_IN_SCENT_RANGE_OF_HANDLER FLAG_IS_IN_SIGHT_OF_HANDLER: ClassVar[str] = Assessment_Command_Link.FLAG_IS_IN_SIGHT_OF_HANDLER FLAG_IS_ON_LEAD: ClassVar[str] = Assessment_Command_Link.FLAG_IS_ON_LEAD FLAG_PROXIMITY_METRES: ClassVar[str] = Distraction.FLAG_PROXIMITY_METRES FLAG_TEMPERATURE_CELCIUS: ClassVar[str] = Assessment.FLAG_TEMPERATURE_CELCIUS FLAG_TRIAL_COUNT: ClassVar[str] = Assessment_Command_Link.FLAG_TRIAL_COUNT FLAG_USER_HANDLER: ClassVar[str] = Assessment.FLAG_USER_HANDLER FLAG_VALUE_MEASURED: ClassVar[str] = Assessment_Response.FLAG_VALUE_MEASURED ID_FORM_ASSESSMENT: ClassVar[str] = 'form_assessment' ID_FORM_ASSESSMENT_COMMAND_LINKS: ClassVar[str] = 'form_assessment_command_links' ID_FORM_DISTRACTIONS: ClassVar[str] = 'form_distractions' ID_TABLE_ASSESSMENT: ClassVar[str] = 'table_assessment' ID_TABLE_ASSESSMENT_COMMAND_LINKS: ClassVar[str] = 'table_assessment_command_links' ID_TABLE_ASSESSMENT_RESPONSES: ClassVar[str] = 'table_assessment_responses' ID_TABLE_DISTRACTIONS: ClassVar[str] = 'table_distractions' filter_assessment_types: list = None filter_command_categories: list = None filter_command_modalities: list = None filter_commands: list = None filter_distraction_intensity_levels: list = None filter_distraction_types: list = None filter_lighting_levels: list = None filter_locations: list = None filter_obedience_levels: list = None filter_reinforcement_schedules: list = None filter_response_quality_metrics: list = None filter_training_techniques: list = None filter_user_handlers: list = None filter_weathers: list = None assessments: list = None form_filters: Filters_Assessment = None form_filters_old: Filters_Assessment id_assessment: Optional[int] def __init__(self, form_filters_old, id_assessment = None, hash_page_current=Model_View_Dog_Base.HASH_PAGE_DOG_ASSESSMENTS): _m = 'Model_View_Dog_Assessment.__init__' Helper_App.console_log(f'{_m}\nstarting...') super().__init__(hash_page_current=hash_page_current, form_filters_old=form_filters_old, id_assessment=id_assessment) self._title = 'Assessments' self.form_filters = form_filters_old datastore_dog = DataStore_Dog() datastore_user = DataStore_User() user_session = datastore_dog.get_user_session() # Assessments + filters parameters_filter_assessment_type = Parameters_Assessment_Type.get_default() self.filter_assessment_types, errors = datastore_dog.get_many_assessment_type(parameters_filter_assessment_type) if len(self.filter_assessment_types) > 0: self.form_filters.id_assessment_type.choices += [(str(assessment_type.id_type), assessment_type.name) for assessment_type in self.filter_assessment_types] parameters_filter_lighting_level = Parameters_Lighting_Level.get_default() self.filter_lighting_levels, errors = datastore_dog.get_many_lighting_level(parameters_filter_lighting_level) if len(self.filter_lighting_levels) > 0: self.form_filters.id_lighting_level.choices += [(str(lighting_level.id_lighting_level), lighting_level.name) for lighting_level in self.filter_lighting_levels] parameters_filter_location = Parameters_Location.get_default(user_session.id_user) self.filter_locations, errors = datastore_dog.get_many_location(parameters_filter_location) if len(self.filter_locations) > 0: self.form_filters.id_location.choices += [(str(location.id_location), location.name) for location in self.filter_locations] parameters_filter_user = Parameters_User.get_default() parameters_filter_user.id_user = self.user.id_user parameters_filter_user.get_all_user = True self.filter_user_handlers, errors = datastore_user.get_many_user(parameters_filter_user) if len(self.filter_user_handlers) > 0: self.form_filters.id_user_handler.choices += [(str(user.id_user), user.get_name()) for user in self.filter_user_handlers] parameters_filter_weather = Parameters_Weather.get_default() self.filter_weathers, errors = datastore_dog.get_many_weather(parameters_filter_weather) if len(self.filter_weathers) > 0: self.form_filters.id_weather.choices += [(str(weather.id_weather), weather.name) for weather in self.filter_weathers] Helper_App.console_log(f'Form filters: {self.form_filters}') parameters_filter_assessment = Parameters_Assessment.from_form_filters_assessment(self.form_filters) if self.id_assessment is not None: parameters_filter_assessment.ids_assessment = str(self.id_assessment) Helper_App.console_log(f'Query args: {parameters_filter_assessment}') self.assessments, errors = datastore_dog.get_many_assessment(parameters_filter_assessment) # Assessment Command Links + filters parameters_filter_command = Parameters_Command.get_default(user_session.id_user) self.filter_command_categories, self.filter_commands, errors = datastore_dog.get_many_command(parameters_filter_command) parameters_filter_reinforcement_schedule = Parameters_Reinforcement_Schedule.get_default() self.filter_reinforcement_schedules, errors = datastore_dog.get_many_reinforcement_schedule(parameters_filter_reinforcement_schedule) parameters_filter_assessment_command_link = Parameters_Assessment_Command_Link.from_form_filters_assessment(self.form_filters) assessment_command_links, errors = datastore_dog.get_many_assessment_command_link(parameters_filter_assessment_command_link) # Assessment Command Modality Links parameters_filter_command_modality = Parameters_Command_Modality.get_default() self.filter_command_modalities, errors = datastore_dog.get_many_command_modality(parameters_filter_command_modality) parameters_filter_assessment_command_modality_link = Parameters_Assessment_Command_Modality_Link.from_form_filters_assessment(self.form_filters) assessment_command_modality_links, errors = datastore_dog.get_many_assessment_command_modality_link(parameters_filter_assessment_command_modality_link) # Assessment Command Technique Links parameters_filter_training_technique = Parameters_Training_Technique.get_default() self.filter_training_techniques, errors = datastore_dog.get_many_training_technique(parameters_filter_training_technique) parameters_filter_assessment_command_technique_link = Parameters_Assessment_Command_Technique_Link.from_form_filters_assessment(self.form_filters) assessment_command_technique_links, errors = datastore_dog.get_many_assessment_command_technique_link(parameters_filter_assessment_command_technique_link) # Distractions + filters parameters_filter_distraction_type = Parameters_Distraction_Type.get_default(user_session.id_user) self.filter_distraction_types, errors = datastore_dog.get_many_distraction_type(parameters_filter_distraction_type) parameters_filter_distraction_intensity_level = Parameters_Distraction_Intensity_Level.get_default(user_session.id_user) self.filter_distraction_intensity_levels, errors = datastore_dog.get_many_distraction_intensity_level(parameters_filter_distraction_intensity_level) parameters_filter_distraction = Parameters_Distraction.from_form_filters_assessment(self.form_filters) distractions, errors = datastore_dog.get_many_distraction(parameters_filter_distraction) # Assessment Responses and filters parameters_filter_response_quality_metric = Parameters_Response_Quality_Metric.get_default(user_session.id_user) self.filter_response_quality_metrics, errors = datastore_dog.get_many_response_quality_metric(parameters_filter_response_quality_metric) parameters_filter_obedience_level = Parameters_Obedience_Level.get_default(user_session.id_user) self.filter_obedience_levels, errors = datastore_dog.get_many_obedience_level(parameters_filter_obedience_level) parameters_filter_assessment_response = Parameters_Assessment_Response.from_form_filters_assessment(self.form_filters) assessment_responses, errors = datastore_dog.get_many_assessment_response(parameters_filter_assessment_response) for index_link in range(len(assessment_command_links)): link = assessment_command_links[index_link] link.assessment_command_modality_links = [assessment_command_modality_link for assessment_command_modality_link in assessment_command_modality_links if assessment_command_modality_link.id_assessment_command_link == link.id_link] link.assessment_command_technique_links = [assessment_command_technique_link for assessment_command_technique_link in assessment_command_technique_links if assessment_command_technique_link.id_assessment_command_link == link.id_link] link.distractions = [distraction for distraction in distractions if distraction.id_assessment_command_link == link.id_link] link.assessment_responses = [response for response in assessment_responses if response.id_assessment_command_link == link.id_link] assessment_command_links[index_link] = link for index_assessment in range(len(self.assessments)): assessment = self.assessments[index_assessment] assessment.assessment_command_links = [link for link in assessment_command_links if link.id_assessment == assessment.id_assessment] self.assessments[index_assessment] = assessment Helper_App.console_log(f'Final assessments: {self.assessments}') test_assessments = Model_View_Dog_Assessment.convert_list_objects_to_dict_json_by_attribute_key_default(self.assessments) Helper_App.console_log(f'JSON assessments: {test_assessments}')