def code_detail(request, code):
by_dataset = {}
for d in Dataset.objects.all():
by_dataset[d.identifier] = {'counts': [], 'dataset': d}
for k in CodeCount.objects.filter(code=code):
by_dataset[k.dataset_identifier]['counts'].append(k)
for k in by_dataset:
by_dataset[k]['visits'] = sum([
c.count for c in by_dataset[k]['counts']
if c.state == 'ALL' and c.code_type != 'pdx'
])
context = {}
payload = {
'code': code,
'Coder': codes.Coder(),
'datasets': by_dataset.values(),
'visit_type_str': STRINGS,
'code_type_str': {
"pdx": "Primary Diagnosis",
'dx': "Diagnosis",
"pr": "Procedure",
"drg": "DRG"
}
}
context['payload'] = payload
return render(request, 'code.html', context=context, using='jt')
def patient_viewer(request):
payload = {'DB_LIST': get_databases()}
if request.GET.get('patient_id') and request.GET.get('db'):
patient_id = request.GET.get('patient_id')
db = request.GET.get('db')
patient_coded = get_patient(db, patient_id)
temp = Patient()
v = base64.decodestring(patient_coded["data"])
temp.ParseFromString(v)
raw_string = temp.raw
temp.raw = ""
payload['coder'] = codes.Coder()
payload['patient_obj'] = temp
payload['next_key'] = patient_coded["next"]
payload['patient'] = {
'patient_id': patient_id,
'db': db,
'data': str(temp),
'raw_string': raw_string
}
context = {'payload': payload}
return render(request,
'patient_viewer.html',
context=context,
using='jtlte')
def index_code(request, code):
context = {}
context['payload'] = {}
coder = codes.Coder()
n3coder = N3.N3Coder()
q = coder[code]
context['payload']['q'] = q
context['payload']['humanize'] = humanize
context['payload']['coder'] = coder
context['payload']['N3coder'] = n3coder
context['payload']['entries_available'] = True
context['payload']['results'] = TextSearch.objects.filter(
description__search=q)
context['payload']['entries_N1'] = list(
N1Group.objects.filter(code=str(code)))
context['payload']['entries_N2'] = N2Group.objects.filter(code=code)
if code.startswith('P'):
context['payload']['entries_N3'] = N3Group.objects.filter(code=code)
if code.startswith('C'):
context['payload']['entries_N3'] = N3Group.objects.filter(
Q(code='N3C_AS_' + code) | Q(code='N3C_ED_' + code))
if code.startswith('D'):
context['payload']['entries_N3'] = N3Group.objects.filter(
Q(code='N3DX_AS_' + code) | Q(code='N3DX_ED_' + code)
| Q(code='N3DX_IP_' + code))
context['payload']['entries_N4'] = N4Group.objects.filter(code=code)
return render(request, 'search.html', context, using='jt')
def get_context_data(self, **kwargs):
context = super(DatasetList, self).get_context_data(**kwargs)
context['datasets'] = []
for d in Dataset.objects.all():
temp = {}
temp['syt'] = SYTCount.objects.filter(dataset=d)
temp['st'] = STCount.objects.filter(dataset=d)
temp['s'] = SCount.objects.filter(dataset=d)
temp['entry'] = d
context['datasets'].append(temp)
context['Coder'] = codes.Coder()
return context
def config(request):
context = {}
payload = {
'coder':
codes.Coder(),
'enums':
[(k, vstr, vval) for k, v in enums.__dict__.iteritems() if
type(v) is google.protobuf.internal.enum_type_wrapper.EnumTypeWrapper
for vstr, vval in v.items()],
}
context['payload'] = payload
return render(request, 'config.html', context=context, using='jt')
def index(request):
context = {}
context['payload'] = {}
coder = codes.Coder()
n3coder = N3.N3Coder()
if request.method == 'POST' and request.POST['top-search'].strip():
q = request.POST['top-search']
context['payload']['q'] = q
context['payload']['humanize'] = humanize
context['payload']['coder'] = coder
context['payload']['N3coder'] = n3coder
context['payload']['results'] = TextSearch.objects.filter(
description__search=q)
context['payload']['entries_N1'] = []
context['payload']['entries_N2'] = []
context['payload']['entries_N3'] = []
context['payload']['entries_N4'] = []
context['payload']['entries_available'] = False
for i, k in enumerate(
TextSearch.objects.filter(description__search=q)):
context['payload']['entries_available'] = True
if i < 5:
context['payload']['entries_N1'] += list(
N1Group.objects.filter(code=str(k.code)))
context['payload']['entries_N2'] += list(
N2Group.objects.filter(code=str(k.code)))
if k.code.startswith('P'):
context['payload']['entries_N3'] += list(
N3Group.objects.filter(code=k.code))
if k.code.startswith('C'):
context['payload']['entries_N3'] += list(
N3Group.objects.filter(
Q(code='N3C_AS_' + k.code)
| Q(code='N3C_ED_' + k.code)))
if k.code.startswith('D'):
context['payload']['entries_N3'] += list(
N3Group.objects.filter(
Q(code='N3DX_AS_' + k.code)
| Q(code='N3DX_ED_' + k.code)
| Q(code='N3DX_IP_' + k.code)))
context['payload']['entries_N4'] += list(
N4Group.objects.filter(code=k.code))
else:
break
return render(request, 'search.html', context, using='jt')
else:
return redirect('/datasets/')
def aggregate_patients_viewer(request):
path = urllib.unquote(base64.decodestring(request.GET.get('q')))
entry = aggregate.PatientAggregate()
entry.ParseFromString(file(path).read())
context = {
'payload': {
'entry': entry.obj,
'humanize': humanize,
'Coder': codes.Coder(),
'path': path,
'age_plot_data': json.dumps(entry.age_plot())
}
}
return render(request,
'aggregate_patients_viewer.html',
context=context,
using='jtlte')
def ml_stats_viewer(request, code):
stats = PDXCLASSIFIER()
stats.ParseFromString(
file(ML_PATH + "/stats/{}.stats".format(code)).read())
context = {
'payload': {
'stats': stats,
'humanize': humanize,
'Coder': codes.Coder(),
'path': "",
# 'los_plot_data': json.dumps(index.los_plot()),
# 'age_plot_data': json.dumps(index.age_plot())
}
}
return render(request,
'ml_stats_viewer.html',
context=context,
using='jtlte')
def codelist(request):
coder = codes.Coder()
return JsonResponse([(coder.prefix_inverse[coder.CODE_PREFIX[k]], k, v[-1])
for k, v in coder.CODES_ALL.iteritems()],
safe=False)
