def process_facility_transactions(facility_id, transactions, start_date,
end_date):
"""
For a given facility and list of transactions, update the appropriate
data warehouse tables. This should only be called on supply points
that are facilities.
"""
existing_data = ProductAvailabilityData.objects.filter(
date__range=(datetime(start_date.year, start_date.month,
1), datetime(end_date.year, end_date.month, 1)),
location_id=facility_id)
product_data_dict = {(pa.date, pa.location_id, pa.product): pa
for pa in existing_data}
for year, month, product_id, stock_on_hand in transactions:
date = datetime(int(year), int(month), 1)
if (date, facility_id, product_id) in product_data_dict:
product_data = product_data_dict[(date, facility_id, product_id)]
else:
product_data = ProductAvailabilityData(product=product_id,
location_id=facility_id,
date=date)
product_data.total = 1
product_data.without_data = 0
if stock_on_hand <= 0:
product_data.without_stock = 1
product_data.with_stock = 0
else:
product_data.without_stock = 0
product_data.with_stock = 1
product_data.save()
def process_facility_transactions(facility_id, transactions, start_date, end_date):
"""
For a given facility and list of transactions, update the appropriate
data warehouse tables. This should only be called on supply points
that are facilities.
"""
existing_data = ProductAvailabilityData.objects.filter(
date__range=(
datetime(start_date.year, start_date.month, 1),
datetime(end_date.year, end_date.month, 1)
),
location_id=facility_id
)
product_data_dict = {
(pa.date, pa.location_id, pa.product): pa for pa in existing_data
}
for year, month, product_id, stock_on_hand in transactions:
date = datetime(int(year), int(month), 1)
if (date, facility_id, product_id) in product_data_dict:
product_data = product_data_dict[(date, facility_id, product_id)]
else:
product_data = ProductAvailabilityData(
product=product_id,
location_id=facility_id,
date=date
)
product_data.total = 1
product_data.without_data = 0
if stock_on_hand <= 0:
product_data.without_stock = 1
product_data.with_stock = 0
else:
product_data.without_stock = 0
product_data.with_stock = 1
product_data.save()
def update_product_availability_facility_data(facility, products, start_date,
end_date):
# product availability
existing_data = ProductAvailabilityData.objects.filter(
date__range=(datetime(start_date.year, start_date.month,
1), datetime(end_date.year, end_date.month, 1)),
location_id=facility.get_id)
product_data_dict = {(pa.date, pa.location_id, pa.product): pa
for pa in existing_data}
product_data_list = []
previous_month = {}
for year, month in months_between(start_date, end_date):
window_date = datetime(year, month, 1)
for p in products:
now = datetime.utcnow()
if (window_date, facility.get_id,
p.product_id) in product_data_dict:
previous_month[p.product_id] = product_data_dict[
window_date, facility.get_id, p.product_id]
continue
else:
product_data = ProductAvailabilityData(
date=window_date,
location_id=facility.get_id,
product=p.product_id,
create_date=now,
update_date=now)
# set defaults
product_data.total = 1
prev = None
if p.product_id in previous_month:
prev = previous_month[p.product_id]
if not prev:
previous_reports = ProductAvailabilityData.objects.filter(
product=p.product_id,
location_id=facility.location_id,
date__lt=window_date,
total=1)
if previous_reports.count():
prev = previous_reports.latest('date')
if prev:
product_data.with_stock = prev.with_stock
product_data.without_stock = prev.without_stock
product_data.without_data = prev.without_data
else:
# otherwise we use the defaults
product_data.with_stock = 0
product_data.without_stock = 0
product_data.without_data = 1
if product_data.pk is not None:
product_data.save()
else:
product_data_list.append(product_data)
assert (product_data.with_stock + product_data.without_stock + product_data.without_data) == 1, \
"bad product data config for %s" % product_data
previous_month[p.product_id] = product_data
ProductAvailabilityData.objects.bulk_create(product_data_list)
def update_product_availability_facility_data(facility, products, start_date, end_date):
# product availability
existing_data = ProductAvailabilityData.objects.filter(
date__range=(
datetime(start_date.year, start_date.month, 1),
datetime(end_date.year, end_date.month, 1)
),
location_id=facility.get_id
)
product_data_dict = {
(pa.date, pa.location_id, pa.product): pa for pa in existing_data
}
product_data_list = []
previous_month = {}
for year, month in months_between(start_date, end_date):
window_date = datetime(year, month, 1)
for p in products:
now = datetime.utcnow()
if (window_date, facility.get_id, p.product_id) in product_data_dict:
previous_month[p.product_id] = product_data_dict[window_date, facility.get_id, p.product_id]
continue
else:
product_data = ProductAvailabilityData(
date=window_date,
location_id=facility.get_id,
product=p.product_id,
create_date=now,
update_date=now
)
# set defaults
product_data.total = 1
prev = None
if p.product_id in previous_month:
prev = previous_month[p.product_id]
if not prev:
previous_reports = ProductAvailabilityData.objects.filter(
product=p.product_id,
location_id=facility._id,
date__lt=window_date,
total=1
)
if previous_reports.count():
prev = previous_reports.latest('date')
if prev:
product_data.with_stock = prev.with_stock
product_data.without_stock = prev.without_stock
product_data.without_data = prev.without_data
else:
# otherwise we use the defaults
product_data.with_stock = 0
product_data.without_stock = 0
product_data.without_data = 1
if product_data.pk is not None:
product_data.save()
else:
product_data_list.append(product_data)
assert (product_data.with_stock + product_data.without_stock + product_data.without_data) == 1, \
"bad product data config for %s" % product_data
previous_month[p.product_id] = product_data
ProductAvailabilityData.objects.bulk_create(product_data_list)
