def create_basic_report_data_dict(umbral,target,main_metric,feature_selection_method,penalize_falses,lista_variables_descartadas,ruta_logo):
report_data = {glod.get_title_key(): "Overview With Execution Information",
glod.get_logo_key():ruta_logo,
glod.get_umbral_key(): str(umbral),
glod.get_main_metric_key(): str(main_metric),
glod.get_feature_selection_key(): str(feature_selection_method),
glod.get_penalization_name(): str(penalize_falses),
glod.get_objective_target_key(): target,
glod.get_variables_key():{glod.get_deleted_by_user_key():lista_variables_descartadas},
glod.get_general_info_execution_key():''
}
return report_data
def create_report_data_dict(evento,umbral,target,lista_variables_descartadas,ruta_logo):
report_data = {glod.get_objective_target_key(): target,
glod.get_event_key():evento,
glod.get_logo_key():ruta_logo,
glod.get_report_general_info_key():{glod.get_report_generic_target_key():{},
glod.get_variables_key():{glod.get_deleted_by_user_key():lista_variables_descartadas,glod.get_empty_or_constant_key():[],glod.get_score_relevant_key():[]},
glod.get_training_division_key():{},
glod.get_test_division_key():{},
},
glod.get_umbral_key(): str(umbral),
glod.get_warning_key(): ''
}
return report_data
def create_report_data_dict(evento, umbral, target, lista_variables_descartadas, ruta_logo):
'''This funcion allows to create the structure for the report data dictionary
for the current event'''
report_data = {glod.get_objective_target_key(): target,
glod.get_event_key():evento,
glod.get_logo_key():ruta_logo,
glod.get_report_general_info_key():{glod.get_report_generic_target_key():{},
glod.get_variables_key():{glod.get_deleted_by_user_key():lista_variables_descartadas, glod.get_empty_or_constant_key():[], glod.get_score_relevant_key():[]},
glod.get_training_division_key():{},
glod.get_test_division_key():{},
},
glod.get_umbral_key(): str(umbral),
glod.get_warning_key(): glod.get_empty_string()
}
return report_data
def create_basic_report_data_dict(basic_parameters, lista_variables_descartadas, ruta_logo):
'''This funcion allows to create the structure for the report data dictionary'''
umbral = basic_parameters[0]
target = basic_parameters[1]
main_metric = basic_parameters[2]
feature_selection_method = basic_parameters[3]
penalize_falses = basic_parameters[4]
report_data = {glod.get_title_key(): "Overview With Execution Information",
glod.get_logo_key():ruta_logo,
glod.get_umbral_key(): str(umbral),
glod.get_main_metric_key(): str(main_metric),
glod.get_feature_selection_key(): str(feature_selection_method),
glod.get_penalization_name(): str(penalize_falses),
glod.get_objective_target_key(): target,
glod.get_variables_key():{glod.get_deleted_by_user_key():\
lista_variables_descartadas},
glod.get_general_info_execution_key():glod.get_empty_string()
}
return report_data
def create_report_current_execution(report_dict,lista_eventos,lista_variables_usuario,lista_listas_variables_descartadas,lista_aprendizajes,lista_modelos, diccionario_aprendizajes, ruta_relativa_datos_auxiliares, ruta_directorio_resultados,enco):
env = Environment(loader=FileSystemLoader('.'))
ruta_plantilla_temporal = os.path.join(ruta_relativa_datos_auxiliares,'temp_html.html')
template = env.get_template(ruta_relativa_datos_auxiliares + '/' + 'general_execution_template.html')
template_vars = {glod.get_title_key(): report_dict[glod.get_title_key()],
glod.get_logo_key():encode_image(report_dict[glod.get_logo_key()].replace('\'','')),
glod.get_general_info_execution_key():''
}
#General parameters (target,umbral,variables_descartadas)
target = report_dict[glod.get_objective_target_key()]
umbral = report_dict[glod.get_umbral_key()]
main_metric = report_dict[glod.get_main_metric_key()]
feature_selection_method = report_dict[glod.get_feature_selection_key()]
penalize_falses = report_dict[glod.get_penalization_name()]
lista_variables_descartadas = report_dict[glod.get_variables_key()][glod.get_deleted_by_user_key()]
tabulacion = " "
informacion= "<h3>Common Parameters </h3></p>"
informacion+= tabulacion+tabulacion + "<i>Objective Target: </i>" + target + "</br></br>"
informacion+=tabulacion+tabulacion + "<i>Percentil for Scoring Function: </i>" + umbral + "</br></br>"
informacion+=tabulacion+tabulacion + "<i>Main metric: </i>" + main_metric + "</br></br>"
informacion+=tabulacion+tabulacion + "<i>Feature selection method: </i>" + feature_selection_method + "</br></br>"
informacion+=tabulacion+tabulacion + "<i>Penalize falses: </i>" + penalize_falses + "</br></br>"
informacion+=tabulacion+tabulacion + "<i>Common Discarded Variables:</i></br>"
for variable_descartada in lista_variables_descartadas:
informacion+=tabulacion+tabulacion+tabulacion + variable_descartada + "</br>"
if(lista_variables_descartadas == []):
informacion+=tabulacion+"No variables were selected to be discarded</br>"
informacion+="</p>"
informacion+= "<h3>Events to be processed: </h3><p>"
for indice in range(len(lista_eventos)):
informacion+=tabulacion+"<strong>"+ lista_eventos[indice] + "</strong></br>"
informacion+=tabulacion+tabulacion+"<i>Important features for the user:</i> </br>"
if(lista_variables_usuario[indice]):
for variable in lista_variables_usuario[indice]:
informacion+=tabulacion+tabulacion+tabulacion+variable + "</br>"
else:
informacion+=tabulacion+tabulacion+tabulacion+"No important features were specified</br>"
informacion+="</br>"
informacion+=tabulacion+tabulacion+"<i>Discarded variables by the user:</i> </br>"
if(lista_listas_variables_descartadas[indice]):
for variable in lista_listas_variables_descartadas[indice]:
informacion+=tabulacion+tabulacion+tabulacion+variable + "</br>"
else:
informacion+=tabulacion+tabulacion+tabulacion+"No variables were discarded</br>"
informacion+="</br>"
informacion += tabulacion+tabulacion+"<i>Learnings to be applied: </i></br>"
aprendizaje = lista_aprendizajes[indice]
modelos = lista_modelos[indice]
if aprendizaje == glod.get_all_learning_modes_name():#looping supervised models
informacion += tabulacion+tabulacion+tabulacion+"<u>" +\
str(diccionario_aprendizajes[1]) + "</u>:</br>"
modelos_sup = modelos[0]
for modelo_act in modelos_sup:
informacion += tabulacion+tabulacion+tabulacion+tabulacion + modelo_act + "</br>"
informacion += "</br>"
informacion += tabulacion+tabulacion+tabulacion+"<u>" +\
str(diccionario_aprendizajes[2]) + "</u>:</br>"
modelos_unsup = modelos[1]
for modelo_act in modelos_unsup:
informacion += tabulacion+tabulacion+tabulacion+tabulacion + modelo_act + "</br>"
informacion += "</br>"
else:
informacion += tabulacion+tabulacion+tabulacion+"<u>"+aprendizaje + "</u>:</br>"
for modelo_act in modelos:
informacion += tabulacion+tabulacion+tabulacion+tabulacion + modelo_act + "</br>"
informacion += "</p>"
template_vars[glod.get_general_info_execution_key()] = informacion
with codecs.open(ruta_plantilla_temporal,'w',encoding=enco) as output_file:
output_file.write(template.render(template_vars))
with codecs.open(ruta_plantilla_temporal, 'r') as html_leido:
pdf_resultante=os.path.join(ruta_directorio_resultados,"General_execution_report_"+ target +".pdf")
with open(pdf_resultante, "wb") as gen_report:
pisa.CreatePDF(html_leido.read(),gen_report)
logging.getLogger("xhtml2pdf").addHandler(PisaNullHandler())
if(os.path.exists(ruta_plantilla_temporal)):
os.remove(ruta_plantilla_temporal)
def update_report_percentil(report_dict,valor):
report_dict[glod.get_umbral_key()] = valor
return report_dict
def update_report_percentil(report_dict, valor):
'''This funcion allows to register the percentil value in the report'''
report_dict[glod.get_umbral_key()] = valor
return report_dict