206 lines
13 KiB
Python
206 lines
13 KiB
Python
"""
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Project: PARTS Website
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Author: Edward Middleton-Smith
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Precision And Research Technology Systems Limited
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Technology: View Models
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Feature: Dog Assessments View Model
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Description:
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Data model for dog assessments view
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"""
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# internal
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from business_objects.dog.assessment import Assessment, Parameters_Assessment
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from business_objects.dog.assessment_command_modality_link import Assessment_Command_Modality_Link, Parameters_Assessment_Command_Modality_Link
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from business_objects.dog.assessment_response import Assessment_Response, Parameters_Assessment_Response
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from business_objects.dog.bribe import Bribe, Parameters_Bribe
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from business_objects.dog.command import Command, Parameters_Command
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from business_objects.dog.command_category import Command_Category
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from business_objects.dog.command_modality import Command_Modality, Parameters_Command_Modality
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from business_objects.dog.distraction import Distraction, Parameters_Distraction
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from business_objects.dog.distraction_intensity_level import Distraction_Intensity_Level, Parameters_Distraction_Intensity_Level
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from business_objects.dog.distraction_type import Distraction_Type, Parameters_Distraction_Type
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from business_objects.dog.lighting_level import Lighting_Level, Parameters_Lighting_Level
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from business_objects.dog.location import Location, Parameters_Location
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from business_objects.dog.obedience_level import Obedience_Level, Parameters_Obedience_Level
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from business_objects.dog.response_quality_metric import Response_Quality_Metric, Parameters_Response_Quality_Metric
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from business_objects.dog.user import User, Parameters_User
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from business_objects.dog.weather import Weather, Parameters_Weather
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from datastores.datastore_dog import DataStore_Dog
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from datastores.datastore_user import DataStore_User
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from models.model_view_dog_base import Model_View_Dog_Base
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from forms.dog.assessment import Filters_Assessment
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# from routes import bp_home
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from helpers.helper_app import Helper_App
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import lib.argument_validation as av
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# external
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from pydantic import BaseModel
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from typing import ClassVar, Optional
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from operator import attrgetter
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class Model_View_Dog_Assessment(Model_View_Dog_Base):
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FLAG_DISTANCE_FROM_HANDLER_METRES: ClassVar[str] = Assessment_Command_Modality_Link.FLAG_DISTANCE_FROM_HANDLER_METRES
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FLAG_DISTRACTION_INTENSITY_LEVEL_EMOTIONAL: ClassVar[str] = Distraction.FLAG_DISTRACTION_INTENSITY_LEVEL_EMOTIONAL
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FLAG_DISTRACTION_INTENSITY_LEVEL_SCENT: ClassVar[str] = Distraction.FLAG_DISTRACTION_INTENSITY_LEVEL_SCENT
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FLAG_DISTRACTION_INTENSITY_LEVEL_SIGHT: ClassVar[str] = Distraction.FLAG_DISTRACTION_INTENSITY_LEVEL_SIGHT
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FLAG_DISTRACTION_INTENSITY_LEVEL_SOUND: ClassVar[str] = Distraction.FLAG_DISTRACTION_INTENSITY_LEVEL_SOUND
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FLAG_DISTRACTION_INTENSITY_LEVEL_TOUCH: ClassVar[str] = Distraction.FLAG_DISTRACTION_INTENSITY_LEVEL_TOUCH
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FLAG_IS_IN_HEARING_RANGE_OF_HANDLER: ClassVar[str] = Assessment_Command_Modality_Link.FLAG_IS_IN_HEARING_RANGE_OF_HANDLER
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FLAG_IS_IN_SCENT_RANGE_OF_HANDLER: ClassVar[str] = Assessment_Command_Modality_Link.FLAG_IS_IN_SCENT_RANGE_OF_HANDLER
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FLAG_IS_IN_SIGHT_OF_HANDLER: ClassVar[str] = Assessment_Command_Modality_Link.FLAG_IS_IN_SIGHT_OF_HANDLER
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FLAG_IS_ON_LEAD: ClassVar[str] = Assessment_Command_Modality_Link.FLAG_IS_ON_LEAD
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FLAG_PROXIMITY_METRES: ClassVar[str] = Distraction.FLAG_PROXIMITY_METRES
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FLAG_TEMPERATURE_CELCIUS: ClassVar[str] = Assessment.FLAG_TEMPERATURE_CELCIUS
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FLAG_TRIAL_COUNT: ClassVar[str] = Assessment_Command_Modality_Link.FLAG_TRIAL_COUNT
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FLAG_USER_HANDLER: ClassVar[str] = Assessment.FLAG_USER_HANDLER
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FLAG_VALUE_MEASURED: ClassVar[str] = Assessment_Response.FLAG_VALUE_MEASURED
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ID_FORM_ASSESSMENT: ClassVar[str] = 'form_assessment'
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ID_FORM_ASSESSMENT_COMMAND_MODALITY_LINKS: ClassVar[str] = 'form_assessment_command_modality_links'
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ID_FORM_DISTRACTIONS: ClassVar[str] = 'form_distractions'
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ID_TABLE_ASSESSMENT: ClassVar[str] = 'table_assessment'
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ID_TABLE_ASSESSMENT_COMMAND_MODALITY_LINKS: ClassVar[str] = 'table_assessment_command_modality_links'
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ID_TABLE_ASSESSMENT_RESPONSES: ClassVar[str] = 'table_assessment_responses'
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ID_TABLE_DISTRACTIONS: ClassVar[str] = 'table_distractions'
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filter_bribes: list = None
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filter_command_categories: list = None
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filter_command_modalities: list = None
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filter_commands: list = None
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filter_distraction_intensity_levels: list = None
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filter_distraction_types: list = None
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filter_lighting_levels: list = None
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filter_locations: list = None
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filter_obedience_levels: list = None
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filter_response_quality_metrics: list = None
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filter_user_handlers: list = None
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filter_weathers: list = None
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assessments: list = None
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form_filters: Filters_Assessment = None
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form_filters_old: Filters_Assessment
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id_assessment: Optional[int]
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def __init__(self, form_filters_old, id_assessment = None, hash_page_current=Model_View_Dog_Base.HASH_PAGE_DOG_ASSESSMENTS):
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_m = 'Model_View_Dog_Assessment.__init__'
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Helper_App.console_log(f'{_m}\nstarting...')
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super().__init__(hash_page_current=hash_page_current, form_filters_old=form_filters_old, id_assessment=id_assessment)
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self._title = 'Assessments'
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self.form_filters = form_filters_old
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datastore_dog = DataStore_Dog()
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datastore_user = DataStore_User()
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# Assessments + filters
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parameters_filter_lighting_level = Parameters_Lighting_Level.get_default()
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self.filter_lighting_levels, errors = datastore_dog.get_many_lighting_level(parameters_filter_lighting_level)
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if len(self.filter_lighting_levels) > 0:
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self.form_filters.id_lighting_level.choices += [(str(lighting_level.id_lighting_level), lighting_level.name) for lighting_level in self.filter_lighting_levels]
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parameters_filter_location = Parameters_Location.get_default()
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self.filter_locations, errors = datastore_dog.get_many_location(parameters_filter_location)
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if len(self.filter_locations) > 0:
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self.form_filters.id_location.choices += [(str(location.id_location), location.name) for location in self.filter_locations]
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parameters_filter_user = Parameters_User.get_default()
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parameters_filter_user.id_user = self.user.id_user
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parameters_filter_user.get_all_user = True
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self.filter_user_handlers, errors = datastore_user.get_many_user(parameters_filter_user)
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if len(self.filter_user_handlers) > 0:
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self.form_filters.id_user_handler.choices += [(str(user.id_user), user.get_name()) for user in self.filter_user_handlers]
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parameters_filter_weather = Parameters_Weather.get_default()
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self.filter_weathers, errors = datastore_dog.get_many_weather(parameters_filter_weather)
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if len(self.filter_weathers) > 0:
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self.form_filters.id_weather.choices += [(str(weather.id_weather), weather.name) for weather in self.filter_weathers]
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Helper_App.console_log(f'Form filters: {self.form_filters}')
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parameters_filter_assessment = Parameters_Assessment.from_form_filters_assessment(self.form_filters)
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if self.id_assessment is not None:
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parameters_filter_assessment.ids_assessment = str(self.id_assessment)
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Helper_App.console_log(f'Query args: {parameters_filter_assessment}')
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self.assessments, errors = datastore_dog.get_many_assessment(parameters_filter_assessment)
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# Distractions + filters
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parameters_filter_distraction_type = Parameters_Distraction_Type.get_default()
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self.filter_distraction_types, errors = datastore_dog.get_many_distraction_type(parameters_filter_distraction_type)
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"""
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if len(self.filter_distraction_types) > 0:
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self.form_filters.id_distraction_type.choices += [(str(distraction_type.id_type), distraction_type.name) for distraction_type in self.filter_distraction_types]
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"""
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parameters_filter_distraction_intensity_level = Parameters_Distraction_Intensity_Level.get_default()
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self.filter_distraction_intensity_levels, errors = datastore_dog.get_many_distraction_intensity_level(parameters_filter_distraction_intensity_level)
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"""
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if len(self.filter_distraction_intensity_levels) > 0:
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self.form_filters.id_intensity_level.choices += [(str(distraction_intensity_level.id_intensity_level), distraction_intensity_level.name) for distraction_intensity_level in self.filter_distraction_intensity_levels]
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"""
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parameters_filter_distraction = Parameters_Distraction.from_form_filters_assessment(self.form_filters)
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distractions, errors = datastore_dog.get_many_distraction(parameters_filter_distraction)
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# Assessment Command Modality Links + filters
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parameters_filter_command = Parameters_Command.get_default()
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self.filter_command_categories, self.filter_commands, errors = datastore_dog.get_many_command(parameters_filter_command)
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"""
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if len(self.filter_command_categories) > 0:
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self.form_filters.id_command_category.choices += [(str(command_category.id_command_category), command_category.name) for command_category in self.filter_command_categories]
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if len(self.filter_commands) > 0:
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Helper_App.console_log(f'filter commands: {self.filter_commands}')
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sorted_filter_commands = self.filter_commands
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sorted_filter_commands.sort(key = attrgetter('name'))
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Helper_App.console_log(f'sorted filter commands: {sorted_filter_commands}')
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self.form_filters.id_command.choices += [(str(command.id_command), command.name) for command in sorted_filter_commands] # .sort(key = lambda command: command[1])
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"""
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parameters_filter_command_modality = Parameters_Command_Modality.get_default()
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self.filter_command_modalities, errors = datastore_dog.get_many_command_modality(parameters_filter_command_modality)
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"""
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if len(self.filter_command_modalities) > 0:
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self.form_filters.id_command_modality.choices += [(str(command_modality.id_command_modality), command_modality.name) for command_modality in self.filter_command_modalities]
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"""
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parameters_filter_bribe = Parameters_Bribe.get_default()
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self.filter_bribes, errors = datastore_dog.get_many_bribe(parameters_filter_bribe)
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"""
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if len(self.filter_bribes) > 0:
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self.form_filters.id_bribe.choices += [(str(bribe.id_bribe), bribe.name) for bribe in self.filter_bribes]
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"""
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parameters_filter_assessment_command_modality_link = Parameters_Assessment_Command_Modality_Link.from_form_filters_assessment(self.form_filters)
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assessment_command_modality_links, errors = datastore_dog.get_many_assessment_command_modality_link(parameters_filter_assessment_command_modality_link)
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# Assessment Responses and filters
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parameters_filter_response_quality_metric = Parameters_Response_Quality_Metric.get_default()
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self.filter_response_quality_metrics, errors = datastore_dog.get_many_response_quality_metric(parameters_filter_response_quality_metric)
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"""
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if len(self.filter_response_quality_metrics) > 0:
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self.form_filters.id_response_quality_metric.choices += [(str(response_quality_metric.id_response_quality_metric), response_quality_metric.name) for response_quality_metric in self.filter_response_quality_metrics]
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"""
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parameters_filter_obedience_level = Parameters_Obedience_Level.get_default()
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self.filter_obedience_levels, errors = datastore_dog.get_many_obedience_level(parameters_filter_obedience_level)
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"""
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if len(self.filter_obedience_levels) > 0:
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self.form_filters.id_obedience_level.choices += [(str(obedience_level.id_obedience_level), obedience_level.name) for obedience_level in self.filter_obedience_levels]
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"""
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parameters_filter_assessment_response = Parameters_Assessment_Response.from_form_filters_assessment(self.form_filters)
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assessment_responses, errors = datastore_dog.get_many_assessment_response(parameters_filter_assessment_response)
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for index_link in range(len(assessment_command_modality_links)):
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link = assessment_command_modality_links[index_link]
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link.assessment_responses = [response for response in assessment_responses if response.id_assessment_command_modality_link == link.id_link]
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assessment_command_modality_links[index_link] = link
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for index_assessment in range(len(self.assessments)):
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assessment = self.assessments[index_assessment]
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assessment.distractions = [distraction for distraction in distractions if distraction.id_assessment == assessment.id_assessment]
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assessment.assessment_command_modality_links = [link for link in assessment_command_modality_links if link.id_assessment == assessment.id_assessment]
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self.assessments[index_assessment] = assessment
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Helper_App.console_log(f'Final assessments: {self.assessments}')
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test_assessments = Model_View_Dog_Assessment.convert_list_objects_to_dict_json_by_attribute_key_default(self.assessments)
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Helper_App.console_log(f'JSON assessments: {test_assessments}')
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