def get_context_data(self, **kwargs):
"""Extension of get_context_data
Add context data to drive menu nav highlights and breadcrumbs.
"""
context = super(ScenarioDetailView, self).get_context_data(**kwargs)
context['nav_button'] = "browse_scenario"
self.request.session['emod_nav_button'] = "browse_scenario"
# This is here so that Alex can run this later and change all production database entries
# all_runs = DimRun.objects.all()
# for run in all_runs:
# if run.start_date_key and run.start_date_key.timestamp:
# run.new_start_date_key = run.start_date_key.timestamp
# if run.end_date_key and run.end_date_key.timestamp:
# run.new_end_date_key = run.end_date_key.timestamp
# print run.new_start_date_key
# print run.new_end_date_key
# run.save()
scenario_id = kwargs['scenario_id']
scenario = EMODBaseline.from_dw(pk=scenario_id)
# Hack until DimBaseline/EMODBaseline issues are sorted out
dim_scenario = DimBaseline.objects.get(id=scenario_id)
# Hack for calibration
species_info = {}
the_config = ast.literal_eval(scenario.get_config_file().content)
the_species = the_config['parameters']['Vector_Species_Params']
for specie in the_species:
species_info[specie] = {}
if 'EIR' in the_species[specie]:
eir = the_species[specie]['EIR']
else:
eir = 20.0 / float(len(the_species))
if 'Sporozoite_Rate' in the_species[specie]:
sporozoite = the_species[specie]['Sporozoite_Rate']
else:
sporozoite = 0.003
species_info[specie]['eir'] = eir
species_info[specie]['sporozoite'] = sporozoite
context['species_info'] = species_info
print species_info
# data_to_send = {}
# data_to_send['eir'] = []
# data_to_send['sporozoite'] = []
# the_config = ast.literal_eval(scenario.get_config_file().content)
# the_species = the_config['parameters']['Vector_Species_Params']
# for i in range(len(the_species)):
# data_to_send['eir'].append(20)
# data_to_send['sporozoite'].append(0.003)
# context['data_to_send'] = data_to_send
if dim_scenario.metadata and 'calibration_status' in dim_scenario.metadata:
scenario.calibration_status = json.loads(dim_scenario.metadata)['calibration_status']
else:
scenario.calibration_status = "Ready"
if dim_scenario.metadata:
current_metadata = json.loads(dim_scenario.metadata)
else:
current_metadata = {}
if 'calibration_verification_run_id' in current_metadata:
calibration_verification_run = DimRun.objects.get(id=current_metadata['calibration_verification_run_id'])
if calibration_verification_run.status == '1/1/0':
vector_species_parameters = the_config['parameters']['Vector_Species_Params']
calibration_verification_info = {}
for species in vector_species_parameters:
calibration_verification_info[species] = {}
calibration_verification_info[species]['sporozoite_rate'] = {}
calibration_verification_info[species]['eir'] = {}
calibration_verification_info[species]['biting_rate'] = {}
target_sporozoite_rate = vector_species_parameters[species]['Sporozoite_Rate']
daily_sporozoite_rate_2_3 = get_average_daily_sporozoite_rate(calibration_verification_run, species, 2, 3)
daily_sporozoite_rate_4_9 = get_average_daily_sporozoite_rate(calibration_verification_run, species, 4, 9)
daily_sporozoite_rate_10_20 = get_average_daily_sporozoite_rate(calibration_verification_run, species, 10, 20)
calibration_verification_info[species]['sporozoite_rate']['target'] = target_sporozoite_rate
calibration_verification_info[species]['sporozoite_rate']['years_2_3'] = daily_sporozoite_rate_2_3
calibration_verification_info[species]['sporozoite_rate']['years_4_9'] = daily_sporozoite_rate_4_9
calibration_verification_info[species]['sporozoite_rate']['years_10_20'] = daily_sporozoite_rate_10_20
target_average_annual_eir = vector_species_parameters[species]['EIR']
annual_eir_2_3 = get_average_daily_eir(calibration_verification_run, species, 2, 3) * 365
annual_eir_4_9 = get_average_daily_eir(calibration_verification_run, species, 4, 9) * 365
annual_eir_10_20 = get_average_daily_eir(calibration_verification_run, species, 10, 20) * 365
calibration_verification_info[species]['eir']['target'] = target_average_annual_eir
calibration_verification_info[species]['eir']['years_2_3'] = annual_eir_2_3
calibration_verification_info[species]['eir']['years_4_9'] = annual_eir_4_9
calibration_verification_info[species]['eir']['years_10_20'] = annual_eir_10_20
target_average_daily_biting_rate = 'NA'
daily_biting_rate_2_3 = get_average_daily_biting_rate(calibration_verification_run, species, 2, 3)
daily_biting_rate_4_9 = get_average_daily_biting_rate(calibration_verification_run, species, 4, 9)
daily_biting_rate_10_20 = get_average_daily_biting_rate(calibration_verification_run, species, 10, 20)
calibration_verification_info[species]['biting_rate']['target'] = target_average_daily_biting_rate
calibration_verification_info[species]['biting_rate']['years_2_3'] = daily_biting_rate_2_3
calibration_verification_info[species]['biting_rate']['years_4_9'] = daily_biting_rate_4_9
calibration_verification_info[species]['biting_rate']['years_10_20'] = daily_biting_rate_10_20
context['calibration_verification_info'] = calibration_verification_info
context['scenario_id'] = kwargs['scenario_id']
context['scenario_userid'] = scenario.user.id
context['dim_user'] = DimUser.objects.get_or_create(username=self.request.user.username)[0]
scenario.last_edited = scenario._last_edited
scenario.is_public = scenario._is_public
# Hack until DimBaseline/EMODBaseline issues are sorted out
if dim_scenario.metadata:
metadata = json.loads(dim_scenario.metadata)
if 'representative' in metadata:
scenario.is_representative = True
if 'is_complete' in metadata['representative']:
scenario.representative_is_completed = True
else:
scenario.representative_is_completed = False
scenario.name = derive_autoname(dim_scenario)
else:
scenario.is_representative = False
context['scenario'] = scenario
file_list = []
for my_file in scenario.files:
if my_file['type'] == 'config':
try:
context['config'] = json.dumps(ast.literal_eval(scenario.get_file_by_type('config').content),
sort_keys=True, indent=4, separators=(',', ': '))
except AttributeError:
# if file list was returned, use last file
context['config'] = json.dumps(ast.literal_eval(
scenario.get_file_by_type('config')[scenario.get_file_by_type('config').count()
- 1].content), sort_keys=True, indent=4,
separators=(',', ': '))
elif my_file['type'] == 'campaign':
try:
scenario_campaign = json.dumps(ast.literal_eval(scenario.get_file_by_type('campaign').content),
sort_keys=True, indent=4, separators=(',', ': '))
if len(json.loads(scenario_campaign)['Events']) > 0:
context['campaign'] = scenario_campaign
else:
context['has_campaign'] = None
except AttributeError:
# if file list was returned, use last file
context['campaign'] = json.dumps(ast.literal_eval(
scenario.get_file_by_type('campaign')[scenario.get_file_by_type('campaign').count()
- 1].content), sort_keys=True, indent=4,
separators=(',', ': '))
else:
file_list.append(my_file['name'])
context['file_list'] = file_list
# Get a list of the runs for this scenario
adapter = EMOD_Adapter(self.request.user.username)
run_list = DimRun.objects.filter(baseline_key=scenario.id)
dim_scenario = DimBaseline.objects.get(id=scenario.id)
if dim_scenario.simulation_group:
simulation_group = dim_scenario.simulation_group
simulation_list = Simulation.objects.filter(group=simulation_group)
for simulation in simulation_list:
if simulation.status == sim_status.SCRIPT_DONE:
simulation.is_complete = True
elif simulation.status == sim_status.SCRIPT_ERROR:
simulation.has_failed = True
context['simulation_list'] = simulation_list
# sort descending by id (for those old runs that all have the same old time_created
context['run_list'] = sorted(run_list, key=lambda x: x.id, reverse=True)
# sort descending by time_saved
context['run_list'] = sorted(context['run_list'], key=lambda x: x.time_created, reverse=True)
note_list = []
for run in context['run_list']:
try:
run_diffs = []
# config diffs
run_config = run.jcd.jcdict['config.json']['Changes'][0]['config.json/parameters']
scenario_config = json.loads(context['config'])['parameters']
for key in scenario_config:
if scenario_config[key] != run_config[key]:
run_diffs.append({'key': key, 'run': run_config[key], 'scenario': scenario_config[key]})
# ToDo: split out each key difference of Vector Species Parameters in both
# campaign diffs
if 'campaign.json' not in run.jcd.jcdict:
run_diffs.append({'key': 'Interventions', 'run': 'None'})
else:
run_campaign = run.jcd.jcdict['campaign.json']['Changes'][0]['campaign.json/Events']
if json.loads(scenario_campaign)['Events'] != run_campaign:
run_diffs.append({'key': 'Interventions', 'run': run_campaign,
'scenario': str(json.loads(scenario_campaign)['Events'])})
# ToDo: split out each key difference of each Intervention in both
# else:
# run_diffs.append({'key': 'Interventions', 'run': 'See below',
# 'scenario': '<a class="btn tooltip_link" href="#campaign">see below</a>'})
run.diffs = run_diffs
except (AttributeError, KeyError):
# no JCD?
run.diffs = [{'Unknown Error Occurred:': 'no changes found.'}]
# get the status of each run
status = adapter.run_status(run.id)
if status is None:
run.my_completed = None
else:
run.my_completed = status[0]
run.my_total = status[1]
run.my_failed = status[2]
run.percent_complete = (run.my_completed + run.my_failed) / run.my_total
run.my_incomplete = int(run.my_total) - (int(run.my_completed) + int(run.my_failed))
if int(status[0]) > 0:
context['has_results'] = 1
note_list.extend(adapter.fetch_notes(run_id=int(run.id), as_object=True))
if note_list != []:
context['note_list'] = note_list
return context
