我正在重新创建Django中的宝石库存状态报告，该报告最初是在Microsoft Access中构建的。该报告的组织如下：
以下是模型的相关部分：
class Deal(models.Model):
deal_name = models.TextField()
class Stone(models.Model):
stoneid = models.TextField(verbose_name='StoneID', unique=True)
dealid = models.ForeignKey(Deal, on_delete=models.PROTECT)
ct_in = models.DecimalField(verbose_name='Carats', max_digits=7, decimal_places=3)
cost_purchase = models.DecimalField(verbose_name='Purchase Cost', max_digits=14, decimal_places=2, null=True, blank=True)
我通过两个查询得到数据 - 一个用于细节线，另一个用于小计。以下是查询：
def dump_stone(request):
query = Stone.objects.filter(Q(dealid_id__deal_name='ABC') | \
Q(dealid_id__deal_name='DEF') | \
Q(dealid_id__deal_name='GHI')).select_related().order_by('dealid_id__deal_name', 'inventory_status', 'stoneid')
totals = Stone.objects.values('dealid', 'inventory_status').annotate(sum_by_deal=Sum('cost_purchase'), sum_ct_in_by_deal=Sum('ct_in'))
通过交易按状态打印库存明细表的模板是：
{% block content %}
REPORT:
</br>
{% regroup context by dealid as deal_list %}
{% for dealid in deal_list %}
{{dealid.grouper}}
{% regroup dealid.list by inventory_status as stone_list%}
{% for inventory_status in stone_list %}
{{inventory_status.grouper}}
<table>
<thead>
<tr>
<th>StoneID</th>
<th>Ct</th>
<th>Cost</th>
</tr>
</thead>
<tbody>
{% for stone in inventory_status.list %}
<tr>
<td>{{ stone.stoneid }}</td>
<td>{{ stone.ct_in|floatformat:2 }}</td>
<td>{{ stone.cost_purchase|prepend_dollars }}</td>
</tr>
{% endfor %}
{% endfor %}
</tbody>
</table>
{% endfor %}
{% endblock content %}
总计查询生成以下输出：
{'dealid': 1, 'inventory_status': 'HistoricFYI', 'sum_by_deal': Decimal('1287750'), 'sum_ct_in_by_deal': Decimal('15.1500000000000')}
{'dealid': 1, 'inventory_status': 'Sold', 'sum_by_deal': Decimal('209138.7100000'), 'sum_ct_in_by_deal': Decimal('327.810000000000')}
{'dealid': 2, 'inventory_status': 'Sold', 'sum_by_deal': Decimal('338726.99000000'), 'sum_ct_in_by_deal': Decimal('56.2000000000000')}
{'dealid': 3, 'inventory_status': 'Inventory', 'sum_by_deal': Decimal('296754.5900000'), 'sum_ct_in_by_deal': Decimal('294.970000000000')}
{'dealid': 3, 'inventory_status': 'Memo In', 'sum_by_deal': Decimal('192948.340000000'), 'sum_ct_in_by_deal': Decimal('9.47000000000000')}
{'dealid': 3, 'inventory_status': 'Sold', 'sum_by_deal': Decimal('154384.57000000'), 'sum_ct_in_by_deal': Decimal('88.1200000000000')}
{'dealid': 5, 'inventory_status': 'Inventory', 'sum_by_deal': Decimal('187000'), 'sum_ct_in_by_deal': Decimal('26.75')}
{'dealid': 5, 'inventory_status': 'Sold', 'sum_by_deal': Decimal('20000'), 'sum_ct_in_by_deal': Decimal('2')}
{'dealid': 5, 'inventory_status': 'Test', 'sum_by_deal': Decimal('13700'), 'sum_ct_in_by_deal': Decimal('19')}
我想要做的是将总计查询转换为字典字典，以便我可以通过交易，按状态访问单个小计，并使用标记将它们插入模板中的正确位置（不会很难） -coded如图所示，但我将继续下一步）：
{{deal_dict.1.Sold.sum_by_deal}}
我正在尝试生成一个如下所示的字典：
{ 1:
{
‘HistoricFYI’:{’sum_by_deal': Decimal('1287750'), 'sum_ct_in_by_deal': Decimal('15.1500000000000’)},
'Sold:{'sum_by_deal': Decimal('209138.7100000'), 'sum_ct_in_by_deal': Decimal('327.810000000000’)}
},
2:
{
’Sold’:{‘sum_by_deal': Decimal('338726.99000000'), 'sum_ct_in_by_deal': Decimal('56.2000000000000’)},
},
3:
{
'Inventory’:{‘sum_by_deal': Decimal('296754.5900000'), 'sum_ct_in_by_deal': Decimal('294.970000000000’)},
'Memo In’:{‘sum_by_deal': Decimal('192948.340000000'), 'sum_ct_in_by_deal': Decimal('9.47000000000000’)},
'Sold’: {‘sum_by_deal': Decimal('154384.57000000'), 'sum_ct_in_by_deal': Decimal('88.1200000000000')}
},
5: {
'Inventory’:{‘sum_by_deal': Decimal('187000'), 'sum_ct_in_by_deal': Decimal('26.75’)},
'Sold’: {‘sum_by_deal': Decimal('20000'), 'sum_ct_in_by_deal': Decimal(‘2’)},
'Test’: {‘sum_by_deal': Decimal('13700'), 'sum_ct_in_by_deal': Decimal('19')}
}
}
我已经尝试了一些东西来获取总计查询集并使其成为嵌套字典：
deal_dict = {}
status_dict = {}
numbers_dict = {}
for things in totals:
print(things)
numbers_dict['sum_by_deal']=things['sum_by_deal']
numbers_dict['sum_ct_in_by_deal']=things['sum_ct_in_by_deal']
status_dict[things['inventory_status']]=dict(numbers_dict)
deal_dict[things['dealid']]=dict(status_dict)
上述代码的问题在于，每笔交易的嵌套字典包括先前交易的状态，除非交易本身具有覆盖先前数据的该状态的自己的数据。换句话说，对于交易2，例如我得到
{ 2:
{
‘HistoricFYI’:{’sum_by_deal': Decimal('1287750'), 'sum_ct_in_by_deal': Decimal('15.1500000000000’)},
'Sold:{'sum_by_deal': Decimal('338726.99000000'), 'sum_ct_in_by_deal': Decimal('56.2000000000000’)}
},
即使它没有自己的任何“HistoricFYI”数据，因为字典仍包含交易1数据。
我也尝试过这样清理字典
status_dict.clear()
在每个循环结束时，但我最后只收到每个交易（销售或测试）按字母顺序排列的最后状态字典。
我也试过了
deal_dict = {}
for things in totals:
deal_dict.update({things['dealid']:{things['inventory_status']:{'sum_by_deal': things['sum_by_deal'], 'sum_ct_in_by_deal': things['sum_ct_in_by_deal']}}})
但这只是字典中每个交易的最后状态，就像我尝试了clear（）方法一样。
我无法弄清楚如何适应这个 - > Totals/Subtotals in Django template或者这个 - > Django: how to process flat queryset to nested dictionary?
我怎样才能生成这个字典词典，以便我可以在模板中插入小计，或者以某种方式将小计插入到正确的位置？我非常感谢任何帮助！
这似乎实现了你想要的嵌套字典：
def regroup_inventory(totals_qset):
for dealid, row_group in groupby(totals_qset, key=itemgetter('dealid')):
yield dealid, {
row['inventory_status']: {
key: val
for key, val in row.items()
if key not in ('dealid', 'inventory_status')
}
for row in row_group
}
注意：这是一个生成器，因此您需要像在dict.items()上一样迭代它，或者在结果上调用dict()。试试你的例子，我得到：
> from decimal import Decimal
> from pprint import pprint
> foo = [
{'dealid': 1, 'inventory_status': 'HistoricFYI', 'sum_by_deal': Decimal('1287750'), 'sum_ct_in_by_deal': Decimal('15.1500000000000')},
{'dealid': 1, 'inventory_status': 'Sold', 'sum_by_deal': Decimal('209138.7100000'), 'sum_ct_in_by_deal': Decimal('327.810000000000')},
{'dealid': 2, 'inventory_status': 'Sold', 'sum_by_deal': Decimal('338726.99000000'), 'sum_ct_in_by_deal': Decimal('56.2000000000000')},
{'dealid': 3, 'inventory_status': 'Inventory', 'sum_by_deal': Decimal('296754.5900000'), 'sum_ct_in_by_deal': Decimal('294.970000000000')},
{'dealid': 3, 'inventory_status': 'Memo In', 'sum_by_deal': Decimal('192948.340000000'), 'sum_ct_in_by_deal': Decimal('9.47000000000000')},
{'dealid': 3, 'inventory_status': 'Sold', 'sum_by_deal': Decimal('154384.57000000'), 'sum_ct_in_by_deal': Decimal('88.1200000000000')},
{'dealid': 5, 'inventory_status': 'Inventory', 'sum_by_deal': Decimal('187000'), 'sum_ct_in_by_deal': Decimal('26.75')},
{'dealid': 5, 'inventory_status': 'Sold', 'sum_by_deal': Decimal('20000'), 'sum_ct_in_by_deal': Decimal('2')},
{'dealid': 5, 'inventory_status': 'Test', 'sum_by_deal': Decimal('13700'), 'sum_ct_in_by_deal': Decimal('19')},
]
> pprint(dict(regroup_inventory(foo)))
{1: {'HistoricFYI': {'sum_by_deal': Decimal('1287750'),
'sum_ct_in_by_deal': Decimal('15.1500000000000')},
'Sold': {'sum_by_deal': Decimal('209138.7100000'),
'sum_ct_in_by_deal': Decimal('327.810000000000')}},
2: {'Sold': {'sum_by_deal': Decimal('338726.99000000'),
'sum_ct_in_by_deal': Decimal('56.2000000000000')}},
3: {'Inventory': {'sum_by_deal': Decimal('296754.5900000'),
'sum_ct_in_by_deal': Decimal('294.970000000000')},
'Memo In': {'sum_by_deal': Decimal('192948.340000000'),
'sum_ct_in_by_deal': Decimal('9.47000000000000')},
'Sold': {'sum_by_deal': Decimal('154384.57000000'),
'sum_ct_in_by_deal': Decimal('88.1200000000000')}},
5: {'Inventory': {'sum_by_deal': Decimal('187000'),
'sum_ct_in_by_deal': Decimal('26.75')},
'Sold': {'sum_by_deal': Decimal('20000'),
'sum_ct_in_by_deal': Decimal('2')},
'Test': {'sum_by_deal': Decimal('13700'),
'sum_ct_in_by_deal': Decimal('19')}}}
我没有测试过这个，但我想你希望你的deal_dict是一个defaultdict。然后从thing弹出dealid和inventory_status，并使用它们将deal_dict填充为嵌套字典。
from collections import defaultdict
deal_dict = defaultdict(dict)
for thing in totals:
dealid = thing.pop('dealid')
status = thing.pop('inventory_status')
deal_dict[dealid][status] = dict(thing)
编辑：我应该添加一个警告，这将改变totals，如果你再去其他地方使用它将会有问题。