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Fewer queries on stats/scales + Fix

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Scales:
- Fix #chunks when used with std_chunk=True (there was one too many at
  the beginning)
- Scale.end gives the end of the last chunk (instead of its start)
  So scale.begin -> scale.end gives the full range of the scale.

`kfet_day` now returns an aware datetime.

ScaleMixin:
- new method `get_by_chunks` which use only one query and ranks
  elements according to the scale. Elements are returned by a generator
  for each scale chunk (and all chunks are returned as a generator too).

ArticlesStatSales and AccountStatOperations use this new method to
avoid issuing #scale_chunks queries.

ArticleStat:
- fixed on Chrome
This commit is contained in:
Aurélien Delobelle 2017-04-12 18:03:31 +02:00
parent e97e0081d7
commit 3f4a1adbb9
4 changed files with 140 additions and 32 deletions
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63
kfet/views.py
View file

@ -2369,13 +2369,19 @@ class AccountStatOperation(ScaleMixin, PkUrlMixin, JSONDetailView):
# à l'article en question et qui ne sont pas annulées
# puis on choisi pour chaques intervalle les opérations
# effectuées dans ces intervalles de temps
all_operations = (Operation.objects
.filter(group__on_acc=self.object)
.filter(canceled_at=None)
)
all_operations = (
Operation.objects
.filter(group__on_acc=self.object,
canceled_at=None)
.values('article_nb', 'group__at')
.order_by('group__at')
)
if types is not None:
all_operations = all_operations.filter(type__in=types)
chunks = self.chunkify_qs(all_operations, scale, field='group__at')
chunks = self.get_by_chunks(
all_operations, scale, field_db='group__at',
field_callback=(lambda d: d['group__at']),
)
return chunks
def get_context_data(self, *args, **kwargs):
@ -2391,7 +2397,8 @@ class AccountStatOperation(ScaleMixin, PkUrlMixin, JSONDetailView):
# On compte les opérations
nb_ventes = []
for chunk in operations:
nb_ventes.append(tot_ventes(chunk))
ventes = sum(ope['article_nb'] for ope in chunk)
nb_ventes.append(ventes)
context['charts'] = [{"color": "rgb(255, 99, 132)",
"label": "NB items achetés",
@ -2442,29 +2449,39 @@ class ArticleStatSales(ScaleMixin, JSONDetailView):
context = {'labels': old_ctx['labels']}
scale = self.scale
# On selectionne les opérations qui correspondent
# à l'article en question et qui ne sont pas annulées
# puis on choisi pour chaques intervalle les opérations
# effectuées dans ces intervalles de temps
all_operations = (
all_purchases = (
Operation.objects
.filter(type=Operation.PURCHASE,
article=self.object,
canceled_at=None,
)
.filter(
type=Operation.PURCHASE,
article=self.object,
canceled_at=None,
)
.values('group__at', 'article_nb')
.order_by('group__at')
)
chunks = self.chunkify_qs(all_operations, scale, field='group__at')
liq_only = all_purchases.filter(group__on_acc__trigramme='LIQ')
liq_exclude = all_purchases.exclude(group__on_acc__trigramme='LIQ')
chunks_liq = self.get_by_chunks(
liq_only, scale, field_db='group__at',
field_callback=lambda d: d['group__at'],
)
chunks_no_liq = self.get_by_chunks(
liq_exclude, scale, field_db='group__at',
field_callback=lambda d: d['group__at'],
)
# On compte les opérations
nb_ventes = []
nb_accounts = []
nb_liq = []
for qs in chunks:
nb_ventes.append(
tot_ventes(qs))
nb_liq.append(
tot_ventes(qs.filter(group__on_acc__trigramme='LIQ')))
nb_accounts.append(
tot_ventes(qs.exclude(group__on_acc__trigramme='LIQ')))
for chunk_liq, chunk_no_liq in zip(chunks_liq, chunks_no_liq):
sum_accounts = sum(ope['article_nb'] for ope in chunk_no_liq)
sum_liq = sum(ope['article_nb'] for ope in chunk_liq)
nb_ventes.append(sum_accounts + sum_liq)
nb_accounts.append(sum_accounts)
nb_liq.append(sum_liq)
context['charts'] = [{"color": "rgb(255, 99, 132)",
"label": "Toutes consommations",
"values": nb_ventes},