def get_casefeature_by_disease():
data = request.get_json(force=True)
print data
disease = data.get('disease', None)
tissue_type = data.get('tissue_type', None)
site = data.get('site', None)
gender = data.get('gender', None)
metastatic = data.get('metastatic', None)
egfr = data.get('egfr', None)
idh1 = data.get('idh1', None)
idh2 = data.get('idh2', None)
tp53 = data.get('tp53', None)
age = data.get('tp53', None)
tumor_grade = data.get('tumor_grade', None)
tumor_stage = data.get('tumor_stage', None)
sites_list = get_sites(disease, tissue_type, gender, metastatic, egfr, idh1, idh2, tp53, age, tumor_grade, tumor_stage)
metastatics_list = get_metastatics(disease, tissue_type, site, gender, egfr, idh1, idh2, tp53, age, tumor_grade, tumor_stage)
grades_list = get_grades(disease, tissue_type, site, gender, metastatic, egfr, idh1, idh2, tp53, age, tumor_stage)
stages_list = get_stages(disease, tissue_type, site, gender, metastatic, egfr, idh1, idh2, tp53, age, tumor_grade)
tissue_types_list = get_tissue_types(disease, site, gender, metastatic, egfr, idh1, idh2, tp53, age, tumor_grade, tumor_stage)
gender_list = get_gender(disease, tissue_type, site, metastatic, egfr, idh1, idh2, tp53, age, tumor_grade, tumor_stage)
egfr_list = get_EGFR(disease, tissue_type, site, gender, metastatic, idh1, idh2, tp53, age, tumor_grade, tumor_stage)
idh1_list = get_IDH1(disease, tissue_type, site, gender, metastatic, egfr, idh2, tp53, age, tumor_grade, tumor_stage)
idh2_list = get_IDH2(disease, tissue_type, site, gender, metastatic, egfr, idh1, tp53, age, tumor_grade, tumor_stage)
tp53_list = get_TP53(disease, tissue_type, site, gender, metastatic, egfr, idh1, idh2, age, tumor_grade, tumor_stage)
outdata = dict(sites=sites_list, metastatics=metastatics_list, grades=grades_list, stages=stages_list, tissue_types=tissue_types_list, gender=gender_list,
egfr=egfr_list, idh1=idh1_list, idh2=idh2_list, tp53=tp53_list)
return json.dumps(outdata)
def dashboard():
job_type = request.args.get('rerun', False)
job_id = request.args.get('job_id', '')
if job_id and job_type == 'true':
job = Job.query.filter(Job.id == job_id).first()
else:
job = None
sites = get_sites()
print "tedstt"
metastatics = get_metastatics()
grades = get_grades()
stages = get_stages()
print stages
print "end"
return render_template('dashboard/dashboard.html', features=FEATURES, sites=sites,
metastatics=metastatics, grades=grades, stages=stages, job=job)
def dashboard1():
"""
Extra function which displays dashboard without plotly
:return:
"""
job_type = request.args.get('rerun', False)
job_id = request.args.get('job_id', '')
if job_id and job_type == 'true':
job = Job.query.filter(Job.id == job_id).first()
else:
job = None
sites = get_sites()
metastatics = get_metastatics()
grades = get_grades()
stages = get_stages()
return render_template('dashboard/dashboard1.html', features=FEATURES, sites=sites, metastatics=metastatics,
grades=grades, stages=stages, job=job)
def get_casefeature_by_disease():
data = request.get_json(force=True)
disease = data.get('disease', None)
tissue_type = data.get('tissue_type', None)
site = data.get('site', None)
gender = data.get('gender', None)
metastatic = data.get('metastatic', None)
egfr = data.get('egfr', None)
idh1 = data.get('idh1', None)
idh2 = data.get('idh2', None)
tp53 = data.get('tp53', None)
age = data.get('tp53', None)
tumor_grade = data.get('tumor_grade', None)
tumor_stage = data.get('tumor_stage', None)
empMutation = ""
empGain = ""
empLoss = ""
mutation_list = data.get('mutation_list', empMutation)
gain_list = data.get('gain_list', empGain)
loss_list = data.get('loss_list', empLoss)
sites_list = get_sites(disease, tissue_type, gender, metastatic, egfr,
idh1, idh2, tp53, age, tumor_grade, tumor_stage)
metastatics_list = get_metastatics(disease, tissue_type, site, gender,
egfr, idh1, idh2, tp53, age,
tumor_grade, tumor_stage)
grades_list = get_grades(disease, tissue_type, site, gender, metastatic,
egfr, idh1, idh2, tp53, age, tumor_stage)
stages_list = get_stages(disease, tissue_type, site, gender, metastatic,
egfr, idh1, idh2, tp53, age, tumor_grade)
tissue_types_list = get_tissue_types(disease, site, gender, metastatic,
egfr, idh1, idh2, tp53, age,
tumor_grade, tumor_stage)
gender_list = get_gender(disease, tissue_type, site, metastatic, egfr,
idh1, idh2, tp53, age, tumor_grade, tumor_stage)
egfr_list = get_EGFR(disease, tissue_type, site, gender, metastatic, idh1,
idh2, tp53, age, tumor_grade, tumor_stage)
idh1_list = get_IDH1(disease, tissue_type, site, gender, metastatic, egfr,
idh2, tp53, age, tumor_grade, tumor_stage)
idh2_list = get_IDH2(disease, tissue_type, site, gender, metastatic, egfr,
idh1, tp53, age, tumor_grade, tumor_stage)
tp53_list = get_TP53(disease, tissue_type, site, gender, metastatic, egfr,
idh1, idh2, age, tumor_grade, tumor_stage)
mutation_list_data = get_mutation_list(disease, tissue_type, site, gender,
metastatic, egfr, idh1, idh2, age,
tumor_grade, tumor_stage,
mutation_list)
gain_list_data = get_gain_list(disease, tissue_type, site, gender,
metastatic, egfr, idh1, idh2, age,
tumor_grade, tumor_stage, gain_list)
loss_list_data = get_loss_list(disease, tissue_type, site, gender,
metastatic, egfr, idh1, idh2, age,
tumor_grade, tumor_stage, loss_list)
outdata = dict(sites=sites_list,
metastatics=metastatics_list,
grades=grades_list,
stages=stages_list,
tissue_types=tissue_types_list,
gender=gender_list,
egfr=egfr_list,
idh1=idh1_list,
idh2=idh2_list,
tp53=tp53_list,
mutation_list=mutation_list_data,
gain_list=gain_list_data,
loss_list=loss_list_data)
return json.dumps(outdata)