def get_all_enterprise(cls, data):
'''
全行业企业数量
:param area:
:param industry:
:return:
'''
area_id, industry_id = get_area_industry(data)
# 企业数量
companys_number = Relation.objects.filter(
area_id__in=area_id,
industry_id__in=industry_id,
company__established_time__year__lte=settings.YEAR)
# 新增企业数量=当前年份（显示的年份）新创建的企业的数量
companys_increase = Relation.objects.filter(
area_id__in=area_id,
industry_id__in=industry_id,
company__established_time__year=settings.YEAR)
ret = dict()
ret['number'] = len(companys_number)
ret['increase'] = len(companys_increase)
if ret['number'] != 0:
ret['increase_rate'] = ret['increase'] / ret['number']
else:
ret['increase_rate'] = ret['increase']
return ret
def get_count(data):
area_id, industry_id = get_area_industry(data)
details = Relation.objects.filter(
area_id__in=area_id,
industry_id__in=industry_id,
company__statistic_time__year=settings.YEAR).values(interval=Case(
When(Q(company__revenue__lt=10**7), then=Value('0-1')),
When(Q(company__revenue__gte=10**7)
& Q(company__revenue__lt=2 * 10**7),
then=Value('1-2')),
When(Q(company__revenue__gte=2 * 10**7)
& Q(company__revenue__lt=3 * 10**7),
then=Value('2-3')),
When(Q(company__revenue__gte=3 * 10**7)
& Q(company__revenue__lt=5 * 10**7),
then=Value('3-5')),
When(Q(company__revenue__gte=5 * 10**7)
& Q(company__revenue__lt=7 * 10**7),
then=Value('5-7')),
When(Q(company__revenue__gte=7 * 10**7)
& Q(company__revenue__lt=1 * 10**8),
then=Value('7-10')),
When(Q(company__revenue__gte=1 * 10**7)
& Q(company__revenue__lt=15 * 10**7),
then=Value('10-15')),
When(Q(company__revenue__gte=15 * 10**7)
& Q(company__revenue__lt=3 * 10**8),
then=Value('15-30')),
When(Q(company__revenue__gte=3 * 10**8), then=Value('30')),
default=Value(0),
output_field=CharField(),
)).annotate(count=Count('id')).values('count', 'interval')
return details
def get_revenue(cls, data):
# 获取选中地区、行业的所有下辖地区、子行业
area_id, industry_id = get_area_industry(data)
# 获取该地区、行业下的所有企业
company = Relation.objects.filter(
area_id__in=area_id,
industry_id__in=industry_id).values_list('company', flat=True)
revenue = Company.objects.filter(
id__in=company,
established_time__year__lte=settings.YEAR).aggregate(
Sum('revenue'))
increase = Company.objects.filter(
id__in=company,
established_time__year=settings.YEAR).aggregate(Sum('revenue'))
ret = dict()
ret['number'] = revenue.get('revenue__sum', 0)
ret['increase'] = increase.get('revenue__sum', 0)
if not ret['increase']:
ret['increase'] = 0
if not ret['number']:
ret['number'] = 0
ret['increase_rate'] = ret['increase']
else:
ret['increase_rate'] = ret['increase'] / ret['number']
return ret
def get_increase_number(cls, data):
area_id, industry_id = get_area_industry(data)
details = Relation.objects.filter(
area_id__in=area_id,
industry_id__in=industry_id,
company__established_time__year=settings.YEAR).values(
'industry').annotate(number=Count('company')).values(
'industry__name', 'industry_id', 'number')
return details
def get_upscale_number(cls, data):
area_id, industry_id = get_area_industry(data)
details = Relation.objects.filter(
area_id__in=area_id,
industry_id__in=industry_id,
company__established_time__year__lte=settings.YEAR,
company__revenue__gte=2000).values('industry').annotate(
number=Count('company')).values(
'industry__name', 'industry_id',
'number').order_by('number')[:5]
return details
def get_number_details(cls, data):
'''
各行业企业数量分布
:param data:
:return:
'''
area_id, industry_id = get_area_industry(data)
details = Relation.objects.filter(
area_id__in=area_id,
industry_id__in=industry_id,
company__established_time__year__lte=settings.YEAR).values(
'industry').annotate(number=Count('company')).values(
'industry__name', 'industry_id', 'number')
return details
def get_area(data):
area_id, industry_id = get_area_industry(data)
area_tax = Relation.objects.filter(
area_id__in=area_id,
industry_id__in=industry_id,
company__statistic_time__year__lte=settings.YEAR).values(
'company__statistic_time__year',
'area_id').annotate(account=Sum('company__tax')).order_by(
'account')[:10].values('area_id', 'area__name', 'account')
all_area_tax = Relation.objects.filter(
area_id__in=area_id,
industry_id__in=industry_id,
company__statistic_time__year__lte=settings.YEAR).values(
'company__statistic_time__year').annotate(account=Sum(
'company__tax')).order_by('account').values('account')[0]
for i in area_tax:
i['rate'] = i.get('account') / all_area_tax['account']
return area_tax
def get_count(data):
area_id, industry_id = get_area_industry(data)
details = Relation.objects.filter(
area_id__in=area_id,
industry_id__in=industry_id,
company__statistic_time__year=settings.YEAR).values(interval=Case(
When(Q(company__tax__lt=3**5), then=Value('0-0.3')),
When(Q(company__tax__gte=3**5) & Q(company__tax__lt=5 * 10**5),
then=Value('0.3-0.5')),
When(Q(company__tax__gte=5 * 10**5)
& Q(company__tax__lt=1 * 10**6),
then=Value('0.5-1')),
When(Q(company__tax__gte=1 * 10**6)
& Q(company__tax__lt=15 * 10**5),
then=Value('1-1.5')),
When(Q(company__tax__gte=15 * 10**5)
& Q(company__tax__lt=2 * 10**6),
then=Value('1.5-2')),
When(Q(company__tax__gte=2 * 10**6)
& Q(company__tax__lt=3 * 10**6),
then=Value('2-3')),
When(Q(company__tax__gte=3 * 10**6)
& Q(company__tax__lt=4 * 10**6),
then=Value('3-4')),
When(Q(company__tax__gte=4 * 10**6)
& Q(company__tax__lt=1 * 10**7),
then=Value('4-10')),
When(Q(company__tax__gte=1 * 10**7)
& Q(company__tax__lt=12 * 10**6),
then=Value('10-12')),
When(Q(company__tax__gte=12 * 10**6)
& Q(company__tax__lt=15 * 10**6),
then=Value('12-15')),
When(Q(company__tax__gte=15 * 10**6)
& Q(company__tax__lt=2 * 10**7),
then=Value('15-20')),
When(Q(company__tax__gte=2 * 10**7)
& Q(company__tax__lt=3 * 10**7),
then=Value('20-30')),
When(Q(company__tax__gte=3 * 10**7), then=Value('30')),
default=Value(0),
output_field=CharField(),
)).annotate(count=Count('id')).values('count', 'interval')
return details
def get_number_change(cls, data):
area_id, industry_id = get_area_industry(data)
data = dict()
# 全部企业近三年数量数据
all_enterprise = dict()
all_enterprise_year1 = Relation.objects.filter(
area_id__in=area_id,
industry_id__in=industry_id,
company__established_time__year__lte=(settings.YEAR - 2))
all_enterprise_year2 = Relation.objects.filter(
area_id__in=area_id,
industry_id__in=industry_id,
company__established_time__year__lte=(settings.YEAR - 1))
all_enterprise_year3 = Relation.objects.filter(
area_id__in=area_id,
industry_id__in=industry_id,
company__established_time__year__lte=settings.YEAR)
all_enterprise['%s' % (settings.YEAR - 2)] = len(all_enterprise_year1)
all_enterprise['%s' % (settings.YEAR - 1)] = len(all_enterprise_year2)
all_enterprise['%s' % settings.YEAR] = len(all_enterprise_year3)
# 工业企业近三年的数据
industry = dict()
industry_year1 = Relation.objects.filter(
area_id__in=area_id,
industry_id__in=industry_id,
company__established_time__year__lte=(settings.YEAR - 2),
industry__grade=1)
industry_year2 = Relation.objects.filter(
area_id__in=area_id,
industry_id__in=industry_id,
company__established_time__year__lte=(settings.YEAR - 1),
industry__grade=1)
industry_year3 = Relation.objects.filter(
area_id__in=area_id,
industry_id__in=industry_id,
company__established_time__year__lte=settings.YEAR,
industry__grade=1)
industry['%s' % (settings.YEAR - 2)] = len(industry_year1)
industry['%s' % (settings.YEAR - 1)] = len(industry_year2)
industry['%s' % settings.YEAR] = len(industry_year3)
data['all_enterprise'] = all_enterprise
data['industry'] = industry
return data
def get_industry(cls, data):
# 获取选定地区、行业的所有子地区、子行业
area_id, industry_id = get_area_industry(data)
# 工业企业数量
companys_number = Relation.objects.filter(
area_id__in=area_id,
industry_id__in=industry_id,
company__established_time__year__lte=settings.YEAR,
industry__grade=1)
# 新增工业企业数量=当前年份（显示的年份）创建的工业企业数量
companys_increase = Relation.objects.filter(
area_id__in=area_id,
industry_id__in=industry_id,
company__established_time__year=settings.YEAR,
industry__grade=1)
ret = dict()
ret['number'] = len(companys_number)
ret['increase'] = len(companys_increase)
if ret['number'] != 0:
ret['increase_rate'] = ret['increase'] / ret['number']
else:
ret['increase_rate'] = ret['increase']
return ret
def get_trend(data):
area_id, industry_id = get_area_industry(data)
all_industry_tax = Relation.objects.filter(
area_id__in=area_id,
company__statistic_time__year__lte=settings.YEAR,
company__statistic_time__year__gte=settings.YEAR -
3).values('company__statistic_time__year').annotate(
accounts=Sum('company__tax')).values(
'accounts', 'company__statistic_time__year')
industry_tax = Relation.objects.filter(
area_id__in=area_id,
industry_id__in=industry_id,
company__statistic_time__year__lte=settings.YEAR,
company__statistic_time__year__gte=settings.YEAR -
3).values('company__statistic_time__year').annotate(
accounts=Sum('company__tax'),
year=F('company__statistic_time__year')).order_by(
'company__statistic_time__year').values(
'accounts', 'company__statistic_time__year')
return {
'all_industry_tax': all_industry_tax,
'industry_tax': industry_tax
}
