def get_products_in_provpipeline_list_new():
"""Returns a list of all products pending in provpipeline
"""
k = Kerneladapter()
pipeline = k.provpipeline_list_new()
products = {}
for kb in pipeline:
for orderline in kb['orderlines']:
products[orderline['product']] = products.get(orderline['product'], 0) + 1
return products
def get_ls_positions(date_to=None):
"""Returns the number of delivery-note-positions in kernele, that is new in the processing pipeline.
When a date is given as parameter, all positions to deliver before and on that date are returned.
"""
k = Kerneladapter()
pipeline = k.provpipeline_list_new()
ls_positions = 0
for kb in pipeline:
if not date_to or kb['versandtermin'] <= date_to:
ls_positions += len(kb['orderlines'])
return ls_positions
def get_kbs_for_articles_in_pipeline(artnr):
"""Returns the KB-Numbers and the quantities (as a tupel) of the KBs in the Provisioning-Pipeline
that contain the given article-number
"""
k = Kerneladapter()
pipeline = k.provpipeline_list_new()
kbs = []
for kb in pipeline:
for orderline in kb['orderlines']:
if orderline['product'] == artnr:
kbs.append((kb['id'], orderline['quantity']))
return kbs
def get_products_to_ship_today():
"""
Create a dictionary with article numbers as keys and quantities as values
of products that have to be shipped today
(taken from pending orders in provpipeline)
"""
products = {}
kernel = Kerneladapter()
for kommi in kernel.provpipeline_list_new():
if kommi['shouldprocess'] == 'yes':
for orderline in kommi['orderlines']:
artnr = orderline['product']
products[artnr] = products.get(artnr, 0) + orderline['quantity']
return products
