Multiple queries and chart js problem - Optimize Django hardcode - django

Question

Hello mates. I have an project with patient laboratory analyses. The problem is my hardcoding but i didn't find the solution to make it simplier.
My aim was to make a dataframe for each analysis group and draw chartjs. So let me explain what i did /w code:
I have a patient analysis model:
class PatientAnalysis(models.Model):
patient = models.ForeignKey(Patient, related_name='analyses', on_delete=models.CASCADE)
analysis_date = models.DateTimeField(default=datetime.now, help_text = "Разделяйте даты точками! Используйте '/' или '-'")
# analysis_type = models.IntegerField(choices = ANALYSIS_CHOICES) #перевести в таблицу
analysis_type = models.ForeignKey(AnalysisType, on_delete=models.CASCADE, default=1)
analysis_data = models.DecimalField(max_digits=5, decimal_places=2)
def __str__(self):
return f"{self.patient}"
def get_analysis_type(self):
return f"{self.analysis_type}"
def get_absolute_url(self):
return reverse('journal:patient_all_info', kwargs={'hist_num_slug':self.patient.pk})
class Meta:
unique_together = ('analysis_date','analysis_type',)
It has analysis type:
class AnalysisType(models.Model):
a_name = models.CharField(max_length=16)
a_measur = models.CharField(max_length=16)
a_ref_min = models.DecimalField(max_digits=5, decimal_places=2, null=True, blank=True)
a_ref_max = models.DecimalField(max_digits=5, decimal_places=2, null=True, blank=True)
analysis_group = models.ManyToManyField(AnalysysGroup)
def __str__(self):
return f"{self.a_name}"
Which comes with Analysis group:
class AnalysysGroup(models.Model):
group_name = models.CharField(max_length=32)
# analysis = models.ManyToManyField(AnalysisType, blank=True)
def __str__(self):
return f"{self.group_name}"
I tried to show analyses for 1 person for each day and group it by type then draw chartjs multi table:
def patient_filtered_analysis(request, pk, ag):
patient_info = Patient.objects.get(pk=pk)
analysis_group_list = AnalysysGroup.objects.all()
analysis_group = AnalysysGroup.objects.filter(id=ag)[0]
analysis_types_in_group = AnalysisType.objects.filter(analysis_group=ag)
patient_filtered_analysis = PatientAnalysis.objects.filter(patient__hist_num=pk).filter(analysis_type__analysis_group=ag).order_by('analysis_type','-analysis_date')
analysis_date_list = PatientAnalysis.objects.filter(patient__hist_num=pk).filter(analysis_type__analysis_group=ag).order_by('analysis_date').values_list('analysis_date').exclude(analysis_data=0.00).distinct()
query_set = PatientAnalysis.objects.filter(patient__hist_num=pk).filter(analysis_type__analysis_group=ag).order_by('analysis_date').exclude(analysis_data=0.00).distinct()
d = {}
d_nodate = {}
d_forDF = {}
print(analysis_types_in_group)
for analysis_type in analysis_types_in_group:
try:
dates = []
an_rec_for_type_by_day= []
an_rec_forDF = []
for date in analysis_date_list:
try:
checkdate = date[0]
dates.append(checkdate)
analysises = PatientAnalysis.objects.filter(patient__hist_num=pk).filter(analysis_type=analysis_type).filter(analysis_date=checkdate)[0]
if analysises.analysis_data == 0:
an_rec_for_type_by_day.append('N/A')
an_rec_forDF.append('')
elif analysises.analysis_data == 0.00:
an_rec_for_type_by_day.append('N/A')
an_rec_forDF.append('')
else:
if analysises.analysis_data > analysis_type.a_ref_max:
an_rec_for_type_by_day.append(analysises.analysis_data)
an_rec_forDF.append(f"{analysises.analysis_data} *Выс.")
elif analysises.analysis_data < analysis_type.a_ref_min:
an_rec_for_type_by_day.append(analysises.analysis_data)
an_rec_forDF.append(f"{analysises.analysis_data} *Низ.")
else:
an_rec_for_type_by_day.append(analysises.analysis_data)
an_rec_forDF.append(analysises.analysis_data)
except:
an_rec_for_type_by_day.append('N/A')
an_rec_forDF.append('')
d_forDF["Дата"] = dates
d["Дата"] = dates
d_nodate[f"{analysis_type.a_name} ({analysis_type.a_measur})"] = an_rec_for_type_by_day
d[f"{analysis_type.a_name} ({analysis_type.a_measur})"] = an_rec_for_type_by_day
d_forDF[f"{analysis_type.a_name} ({analysis_type.a_measur})"] = an_rec_forDF
except:
pass
# print('Ошибка')
only_dates = d_forDF["Дата"]
new_df = pd.DataFrame(d_forDF)
return render(request, 'journal/patient_filtered_analysis.html',
{'analysises':analysises, 'query_set':query_set, 'd_nodate':d_nodate, 'dates':only_dates, 'analysis_group':analysis_group, 'new_df':new_df.to_html(index=False), 'patient_filtered_analysis': patient_filtered_analysis, 'patient_info':patient_info, 'analysis_group_list':analysis_group_list,
'analysis_types_in_group':analysis_types_in_group})
And finally draw a ChartJs graph with html help
const data = {
labels: dateChartJs,
datasets: [
{% for key, value in d_nodate.items %}
//Если добавить еще один - будет сдвоенный график
{
label: '{{key}}',
data: [{% for i in value %}'{{i}}',{% endfor %%}],
tension: 0.4,
fill: false,
spanGaps: true,
borderWidth: 4,
datalabels: {
anchor: 'end',
align: 'top',
offset: 10,
font: {size: 14},
},
},
{% endfor %}
],};
Two main problems i got is multiple duplicating sql and similar colors for lables on each loop
Will appreciate some advice. Thank you for your attention