clinic/netforce_clinic/models/report_hd_summary.py

import time

from datetime import datetime
from calendar import monthrange
from netforce.model import Model, fields, get_model
#from netforce.access import get_active_company

class ReportHDSummary(Model):
    _name="clinic.report.hd.summary"
    _string="Hemodialysis Report Summary"
    _transient=True
    
    _fields={
        "date": fields.Date("Month", required=True),
    }

    _defaults={
        'date': lambda *a: time.strftime("%Y-%m-%d"),        
    }
    
    def get_report_data(self,ids,context={}):
        # company_id=get_active_company
        # company_name=get_model("company").search("name")
        # company_name=get_model("company").search_browse()
        for item in get_model("company").search_browse([]):
            company_name=item.name

        date=datetime.now().strftime("%Y-%m-%d")
        dom=[]
        if ids:
            obj=self.browse(ids)[0]
            date=obj.date 

        month=int(date[5:7])
        year=int(date[0:4])
        weekday, total_day=monthrange(year, month)
        #date_from="%s-%s-01"%(year,month)
        #date_to="%s-%s-%s"%(year,month,total_day)
        month_str=datetime.strptime(date,'%Y-%m-%d').strftime("%B")
        next_month = str(month + 1)
        if next_month == 13:
            next_month = 12
        next_month_str=datetime.strptime(next_month,'%m').strftime("%B")

        previous_month = month-1
        if previous_month == 0:
            previous_month = 12
        #tip previous_month=str(month-1 == 0 and 12 or month)
        previous_month_str=datetime.strptime('%s'%previous_month,'%m').strftime("%B")
              
        time_start='2014-%s-01'%(month) # 2014-10-20
        time_stop='2014-%s-%s'%(month,total_day)

        dom=[]
        dom.append(['time_start','>=',time_start])
        dom.append(['time_stop','<=',time_stop])  
        
        dom=[]
        dom.append(['type','=','mg'])  
        patients_mg=len(get_model("clinic.patient").search(dom))
        dom.append(['type','=','sc'])
        patients_sc=len(get_model("clinic.patient").search(dom))
        dom.append(['type','=','nhso'])
        patients_nhso=len(get_model("clinic.patient").search(dom))
        dom.append(['type','=','nhso'])
        patients_nhso=len(get_model("clinic.patient").search(dom))
        dom.append(['type','=','pn'])
        patients_pn=len(get_model("clinic.patient").search(dom))
        
        patients=len(get_model("clinic.patient").search_browse(['type','=','All']))
        #new_patients=len(patients)
    
        dom=[]
        dom.append(['state','=','completed'])
        dom.append(['time_start','>=',time_start])
        dom.append(['time_stop','<=',time_stop])
        cur_total_case=len(get_model("clinic.hd.case").search(dom))

        weekday, prev_total_day=monthrange(year, previous_month)
        time_start_pre='2014-%s-01'%(previous_month) # 2014-10-20
        time_stop_pre='2014-%s-%s'%(previous_month,prev_total_day)
        
        dom=[]    
        dom.append(['state','=','completed'])
        dom.append(['time_start','>=',time_start_pre])
        dom.append(['time_stop','<=',time_stop_pre])
        prev_total_case=len(get_model("clinic.hd.case").search(dom))
        items={
            'topic1': {
                'month': month_str,
                'amount': cur_total_case,
                'date_from': time_start,
                'date_to': time_stop,
            },
            'topic2':
            {
                'month': previous_month_str,
                'amount': prev_total_case,
                'date_from': time_start_pre,
                'date_to': time_stop_pre,
            },
            'topic3':
            {
                'month': month_str,
                'amount': patients,
                'date_from': time_start,
                'date_to': time_stop,
            },
            'topic4':
            {
                'month': month_str,
                'amount': 'N/A',
                'date_from': time_start,
                'date_to': time_stop,
            },
            'topic5':
            {
                'month': next_month_str,
                'amount': 'N/A',
                'date_from': time_start,
                'date_to': time_stop,
            },
            'topic6':
            {   
                'month': '',
                'amount': patients_sc,
                'date_from': time_start,
                'date_to': time_stop,
            },
            'topic7':
            {
                'month':'',
                'amount': patients_mg,
                'date_from': time_start,
                'date_to': time_stop,
            },
            'topic8':
            {
                'month':'',
                'amount': patients_nhso,
                'date_from': time_start,
                'date_to': time_stop,
            },
            'topic9':
            {
                'month': '',
                'amount': patients_pn,
                'date_from': time_start,
                'date_to': time_stop,
            },
        }

        lines=[] 
        for item in get_model("clinic.translate").search_browse([]):
            topic=item.org
            line=items.get(topic,{})
            line['topic']=item.tr
            lines.append(line)

        data={
            'month': month_str,
            'year': year,
            'lines': lines,
            'company_name': company_name,
        }
        print("data", data)
        return data


ReportHDSummary.register()