def initialize(reportclass, request):
if reportclass._attributes_added != 2:
reportclass._attributes_added = 2
reportclass.attr_sql = ""
# Adding custom operation attributes
for f in getAttributeFields(
Operation, related_name_prefix="operation", initially_hidden=True
):
f.editable = False
reportclass.rows += (f,)
reportclass.attr_sql += "operation.%s, " % f.name.split("__")[-1]
# Adding custom item attributes
for f in getAttributeFields(
Item, related_name_prefix="item", initially_hidden=True
):
f.editable = False
reportclass.rows += (f,)
reportclass.attr_sql += "item.%s, " % f.name.split("__")[-1]
# Adding custom location attributes
for f in getAttributeFields(
Location, related_name_prefix="location", initially_hidden=True
):
f.editable = False
reportclass.rows += (f,)
reportclass.attr_sql += "location.%s, " % f.name.split("__")[-1]
def initialize(reportclass, request):
if reportclass._attributes_added != 2:
reportclass._attributes_added = 2
reportclass.attr_sql = ""
# Adding custom item attributes
for f in getAttributeFields(Item,
related_name_prefix="item",
initially_hidden=True):
reportclass.rows += (f, )
reportclass.attr_sql += "item.%s, " % f.name.split("__")[-1]
# Adding custom location attributes
for f in getAttributeFields(Location,
related_name_prefix="location",
initially_hidden=True):
reportclass.rows += (f, )
reportclass.attr_sql += "location.%s, " % f.name.split(
"__")[-1]
# Adding custom customer attributes
for f in getAttributeFields(Customer,
related_name_prefix="customer",
initially_hidden=True):
reportclass.rows += (f, )
reportclass.attr_sql += "customer.%s, " % f.name.split(
"__")[-1]
# Adding custom demand attributes
for f in getAttributeFields(Demand, initially_hidden=True):
reportclass.rows += (f, )
reportclass.attr_sql += "demand.%s, " % f.name.split("__")[-1]
def initialize(reportclass, request):
if reportclass._attributes_added != 2:
reportclass._attributes_added = 2
reportclass.attr_sql = ""
# Adding custom item attributes
for f in getAttributeFields(
Item, related_name_prefix="item", initially_hidden=True
):
f.editable = False
reportclass.rows += (f,)
t = f.name.split("__")[-1]
reportclass.attr_sql += "item.%s as item__%s, " % (t, t)
# Adding custom location attributes
for f in getAttributeFields(
Location, related_name_prefix="location", initially_hidden=True
):
f.editable = False
reportclass.rows += (f,)
t = f.name.split("__")[-1]
reportclass.attr_sql += "location.%s as location__%s, " % (t, t)
# Adding custom supplier attributes
for f in getAttributeFields(
Supplier, related_name_prefix="supplier", initially_hidden=True
):
f.editable = False
reportclass.rows += (f,)
t = f.name.split("__")[-1]
reportclass.attr_sql += "supplier.%s as supplier__%s, " % (t, t)
def initialize(reportclass, request):
if reportclass._attributes_added != 2:
reportclass._attributes_added = 2
# Adding custom operation attributes
for f in getAttributeFields(
Operation, related_name_prefix="operationplan__operation"):
f.editable = False
reportclass.rows += (f, )
# Adding custom resource attributes
for f in getAttributeFields(Resource,
related_name_prefix="resource"):
f.editable = False
reportclass.rows += (f, )
# Adding custom item attributes
for f in getAttributeFields(
Item,
related_name_prefix="operationplan__operation__item"):
f.editable = False
reportclass.rows += (f, )
# Adding custom operationplan attributes
for f in getAttributeFields(
OperationPlan,
related_name_prefix="operationplan",
initially_hidden=True,
):
f.editable = False
reportclass.rows += (f, )
def initialize(reportclass, request):
if reportclass._attributes_added != 2:
reportclass._attributes_added = 2
# Adding custom operation attributes
for f in getAttributeFields(Operation, related_name_prefix="operation"):
f.editable = False
reportclass.rows += (f,)
# Adding custom resource attributes
for f in getAttributeFields(Resource, related_name_prefix="resource"):
f.editable = False
reportclass.rows += (f,)
def initialize(reportclass, request):
if reportclass._attributes_added != 2:
reportclass._attributes_added = 2
reportclass.attr_sql = ''
# Adding custom item attributes
for f in getAttributeFields(Item, initially_hidden=True):
reportclass.rows += (f,)
reportclass.attr_sql += 'item.%s, ' % f.name.split('__')[-1]
# Adding custom location attributes
for f in getAttributeFields(Location, related_name_prefix="location", initially_hidden=True):
reportclass.rows += (f,)
reportclass.attr_sql += 'location.%s, ' % f.name.split('__')[-1]
def initialize(reportclass, request):
if reportclass._attributes_added != 2:
reportclass._attributes_added = 2
for f in getAttributeFields(PurchaseOrder):
reportclass.rows += (f,)
for f in getAttributeFields(Item, related_name_prefix="item"):
f.editable = False
reportclass.rows += (f,)
for f in getAttributeFields(Location, related_name_prefix="location"):
f.editable = False
reportclass.rows += (f,)
for f in getAttributeFields(Supplier, related_name_prefix="supplier"):
f.editable = False
reportclass.rows += (f,)
def initialize(reportclass, request):
if reportclass._attributes_added != 2:
reportclass._attributes_added = 2
reportclass.attr_sql = ''
# Adding custom resource attributes
for f in getAttributeFields(Resource, initially_hidden=True):
f.editable = False
reportclass.rows += (f,)
reportclass.attr_sql += 'res.%s, ' % f.name.split('__')[-1]
# Adding custom location attributes
for f in getAttributeFields(Location, related_name_prefix="location", initially_hidden=True):
f.editable = False
reportclass.rows += (f,)
reportclass.attr_sql += 'location.%s, ' % f.name.split('__')[-1]
def initialize(reportclass, request):
if reportclass._attributes_added != 2:
reportclass._attributes_added = 2
reportclass.attr_sql = ''
# Adding custom resource attributes
for f in getAttributeFields(Resource, initially_hidden=True):
f.editable = False
reportclass.rows += (f,)
reportclass.attr_sql += 'res.%s, ' % f.name.split('__')[-1]
# Adding custom location attributes
for f in getAttributeFields(Location, related_name_prefix="location", initially_hidden=True):
f.editable = False
reportclass.rows += (f,)
reportclass.attr_sql += 'location.%s, ' % f.name.split('__')[-1]
def initialize(reportclass, request):
if reportclass._attributes_added != 2:
reportclass._attributes_added = 2
for f in getAttributeFields(DistributionOrder):
reportclass.rows += (f,)
for f in getAttributeFields(Item, related_name_prefix="item"):
f.editable = False
reportclass.rows += (f,)
for f in getAttributeFields(Location, related_name_prefix="origin"):
f.editable = False
reportclass.rows += (f,)
for f in getAttributeFields(Location, related_name_prefix="destination"):
f.editable = False
reportclass.rows += (f,)
def initialize(reportclass, request):
if reportclass._attributes_added != 2:
reportclass._attributes_added = 2
reportclass.attr_sql = ''
# Adding custom item attributes
for f in getAttributeFields(Item, initially_hidden=True):
reportclass.attr_sql += 'item.%s, ' % f.name.split('__')[-1]
def initialize(reportclass, request):
if reportclass._attributes_added != 2:
reportclass._attributes_added = 2
reportclass.attr_sql = ""
# Adding custom item attributes
for f in getAttributeFields(Item, initially_hidden=False):
f.editable = False
reportclass.rows += (f,)
reportclass.attr_sql += "parent.%s, " % f.name.split("__")[-1]
def initialize(reportclass, request):
if reportclass._attributes_added != 2:
reportclass._attributes_added = 2
reportclass.attr_sql = ''
# Adding custom item attributes
for f in getAttributeFields(Item, initially_hidden=True):
f.editable = False
reportclass.rows += (f,)
reportclass.attr_sql += 'parent.%s, ' % f.name.split('__')[-1]
def initialize(reportclass, request):
if reportclass._attributes_added != 2:
reportclass._attributes_added = 2
for f in getAttributeFields(DeliveryOrder):
reportclass.rows += (f, )
for f in getAttributeFields(Item, related_name_prefix="item"):
f.editable = False
f.initially_hidden = True
reportclass.rows += (f, )
for f in getAttributeFields(Location,
related_name_prefix="location"):
f.editable = False
f.initially_hidden = True
reportclass.rows += (f, )
for f in getAttributeFields(
Customer, related_name_prefix="demand__customer"):
f.editable = False
f.initially_hidden = True
reportclass.rows += (f, )
def query(reportclass, request, basequery, sortsql='1 asc'):
basesql, baseparams = basequery.query.get_compiler(
basequery.db).as_sql(with_col_aliases=False)
# Get the time units
units = OverviewReport.getUnits(request)
# Assure the item hierarchy is up to date
Resource.rebuildHierarchy(database=basequery.db)
# Execute the query
cursor = connections[request.database].cursor()
query = '''
select res.name, res.description, res.category, res.subcategory,
res.type, res.maximum, res.maximum_calendar_id, res.cost, res.maxearly,
res.setupmatrix_id, res.setup, location.name, location.description,
location.category, location.subcategory, location.available_id,
coalesce(max(plan_summary.avg_util),0) as avgutil, res.available_id available_calendar,
%s
d.bucket as col1, d.startdate as col2,
coalesce(sum(out_resourceplan.available),0) * (case when res.type = 'buckets' then 1 else %f end) as available,
coalesce(sum(out_resourceplan.unavailable),0) * (case when res.type = 'buckets' then 1 else %f end) as unavailable,
coalesce(sum(out_resourceplan.load),0) * (case when res.type = 'buckets' then 1 else %f end) as loading,
coalesce(sum(out_resourceplan.setup),0) * (case when res.type = 'buckets' then 1 else %f end) as setup
from (%s) res
left outer join location
on res.location_id = location.name
-- Multiply with buckets
cross join (
select name as bucket, startdate, enddate
from common_bucketdetail
where bucket_id = '%s' and enddate > '%s' and startdate < '%s'
) d
-- Utilization info
left join out_resourceplan
on res.name = out_resourceplan.resource
and d.startdate <= out_resourceplan.startdate
and d.enddate > out_resourceplan.startdate
and out_resourceplan.startdate >= '%s'
and out_resourceplan.startdate < '%s'
-- Average utilization info
left join (
select
resource,
( coalesce(sum(out_resourceplan.load),0) + coalesce(sum(out_resourceplan.setup),0) )
* 100.0 / coalesce(greatest(sum(out_resourceplan.available), 0.0001),1) as avg_util
from out_resourceplan
where out_resourceplan.startdate >= '%s'
and out_resourceplan.startdate < '%s'
group by resource
) plan_summary
on res.name = plan_summary.resource
-- Grouping and sorting
group by res.name, res.description, res.category, res.subcategory,
res.type, res.maximum, res.maximum_calendar_id, res.available_id, res.cost, res.maxearly,
res.setupmatrix_id, res.setup, location.name, location.description,
location.category, location.subcategory, location.available_id,
%s d.bucket, d.startdate
order by %s, d.startdate
''' % (reportclass.attr_sql, units[0], units[0], units[0], units[0],
basesql, request.report_bucket, request.report_startdate,
request.report_enddate, request.report_startdate,
request.report_enddate, request.report_startdate,
request.report_enddate, reportclass.attr_sql, sortsql)
cursor.execute(query, baseparams)
# Build the python result
for row in cursor.fetchall():
numfields = len(row)
if row[numfields - 4] != 0:
util = row[numfields - 2] * 100 / row[numfields - 4]
else:
util = 0
result = {
'resource': row[0],
'description': row[1],
'category': row[2],
'subcategory': row[3],
'type': row[4],
'maximum': row[5],
'maximum_calendar': row[6],
'cost': row[7],
'maxearly': row[8],
'setupmatrix': row[9],
'setup': row[10],
'location__name': row[11],
'location__description': row[12],
'location__category': row[13],
'location__subcategory': row[14],
'location__available': row[15],
'avgutil': round(row[16], 2),
'available_calendar': row[17],
'bucket': row[numfields - 6],
'startdate': row[numfields - 5].date(),
'available': round(row[numfields - 4], 1),
'unavailable': round(row[numfields - 3], 1),
'load': round(row[numfields - 2], 1),
'setup': round(row[numfields - 1], 1),
'utilization': round(util, 2)
}
idx = 17
for f in getAttributeFields(Resource):
result[f.field_name] = row[idx]
idx += 1
for f in getAttributeFields(Location):
result[f.field_name] = row[idx]
idx += 1
yield result
def query(reportclass, request, basequery, sortsql='1 asc'):
basesql, baseparams = basequery.query.get_compiler(basequery.db).as_sql(with_col_aliases=False)
# Assure the item hierarchy is up to date
Item.rebuildHierarchy(database=basequery.db)
# Execute a query to get the backlog at the start of the horizon
startbacklogdict = {}
query = '''
select name, sum(qty) from
(
select parent.name, sum(demand.quantity) qty from (%s) item
inner join item parent on item.lft between parent.lft and parent.rght
inner join demand on demand.item_id = item.name and demand.status in ('open','quote') and due < %%s
group by parent.name
union all
select parent.name, sum(operationplanmaterial.quantity) qty
from operationplanmaterial
inner join operationplan on operationplan.reference = operationplanmaterial.operationplan_id
and operationplan.type = 'DLVR'
and operationplan.enddate < %%s
inner join (%s) item on operationplanmaterial.item_id = item.name
inner join item parent on item.lft between parent.lft and parent.rght
group by parent.name
) t
group by name
''' % (basesql, basesql)
with connections[request.database].chunked_cursor() as cursor_chunked:
cursor_chunked.execute(query, baseparams + (request.report_startdate, request.report_startdate) + baseparams)
for row in cursor_chunked:
if row[0]:
startbacklogdict[row[0]] = float(row[1])
# Execute the query
query = '''
select
parent.name, parent.description, parent.category, parent.subcategory,
parent.owner_id, parent.cost, parent.source, parent.lastmodified,
%s
d.bucket,
d.startdate,
d.enddate,
sum(coalesce((select sum(quantity) from demand
where demand.item_id = child.name and status in ('open','quote') and due >= greatest(%%s,d.startdate) and due < d.enddate),0)) orders,
sum(coalesce((select sum(-operationplanmaterial.quantity) from operationplanmaterial
inner join operationplan on operationplan.reference = operationplanmaterial.operationplan_id and operationplan.type = 'DLVR'
where operationplanmaterial.item_id = child.name
and operationplanmaterial.flowdate >= greatest(%%s,d.startdate)
and operationplanmaterial.flowdate < d.enddate),0)) planned
from (%s) parent
inner join item child on child.lft between parent.lft and parent.rght
cross join (
select name as bucket, startdate, enddate
from common_bucketdetail
where bucket_id = %%s and enddate > %%s and startdate < %%s
) d
group by
parent.name, parent.description, parent.category, parent.subcategory,
parent.owner_id, parent.cost, parent.source, parent.lastmodified,
%s
d.bucket, d.startdate, d.enddate
order by %s, d.startdate
''' % (reportclass.attr_sql, basesql, reportclass.attr_sql, sortsql)
# Build the python result
with connections[request.database].chunked_cursor() as cursor_chunked:
cursor_chunked.execute(
query,
(request.report_startdate, request.report_startdate) + # orders planned
baseparams +
(request.report_bucket, request.report_startdate, request.report_enddate) # buckets
)
previtem = None
for row in cursor_chunked:
numfields = len(row)
if row[0] != previtem:
backlog = startbacklogdict.get(row[0], 0)
previtem = row[0]
backlog += float(row[numfields - 2]) - float(row[numfields - 1])
res = {
'item': row[0],
'description': row[1],
'category': row[2],
'subcategory': row[3],
'owner': row[4],
'cost': row[5],
'source': row[6],
'lastmodified': row[7],
'bucket': row[numfields - 5],
'startdate': row[numfields - 4].date(),
'enddate': row[numfields - 3].date(),
'demand': row[numfields - 2],
'supply': row[numfields - 1],
'backlog': backlog,
}
idx = 8
for f in getAttributeFields(Item):
res[f.field_name] = row[idx]
idx += 1
yield res
def query(reportclass, request, basequery, sortsql='1 asc'):
cursor = connections[request.database].cursor()
basesql, baseparams = basequery.query.get_compiler(basequery.db).as_sql(with_col_aliases=False)
# Execute the actual query
query = '''
with opplanmat as (
%s
),
ss_buckets as (
-- Buffer min cal entries
select
buffer.item_id, buffer.location_id, 2 priority_1, calendarbucket.priority priority_2,
calendarbucket.value ssvalue, coalesce(calendarbucket.startdate, '1971-01-01'::timestamp) startdate,
coalesce(calendarbucket.enddate, '2030-12-31'::timestamp) enddate
from buffer
inner join opplanmat
on buffer.item_id = opplanmat.item_id and buffer.location_id = opplanmat.location_id
inner join calendarbucket
on calendarbucket.calendar_id = buffer.minimum_calendar_id
union all
-- Buffer min cal default value + Buffer min
select
opplanmat.item_id, opplanmat.location_id, 2 priority_1, 99999999,
coalesce(calendar.defaultvalue, buffer.minimum), '1971-01-01'::timestamp, '2030-12-31'::timestamp
from buffer
inner join opplanmat
on buffer.item_id = opplanmat.item_id and buffer.location_id = opplanmat.location_id
left outer join calendar
on calendar.name = buffer.minimum_calendar_id
)
select
invplan.item_id || ' @ ' || invplan.location_id,
invplan.item_id, invplan.location_id,
item.description, item.category, item.subcategory, item.owner_id,
item.source, item.lastmodified, location.description, location.category,
location.subcategory, location.available_id, location.owner_id,
location.source, location.lastmodified, %s
invplan.startoh,
invplan.startoh + invplan.produced - invplan.consumed as endoh,
coalesce((
select
extract (epoch from case when initial_onhand <= 0 then interval '0 day' else min(flowdate) -
greatest(invplan.startdate, %%s) end)/(3600*24) days_of_cover
from
(
select
item_id,
location_id,
flowdate,
onhand - quantity onhand_before,
onhand onhand_after,
first_value(onhand - quantity) over(partition by item_id, location_id order by item_id, location_id, flowdate,id) initial_onhand,
sum(case when quantity < 0 then -quantity else 0 end) over(partition by item_id, location_id order by item_id, location_id, flowdate,id) total_consumed
from operationplanmaterial
where flowdate >= greatest(invplan.startdate, %%s) and item_id = invplan.item_id and location_id = invplan.location_id
) t
where total_consumed >= initial_onhand
group by item_id, location_id, initial_onhand
), case when invplan.startoh <= 0 then 0 else 999 end)
startohdoc,
invplan.bucket,
invplan.startdate,
invplan.enddate,
(
select ssvalue
from ss_buckets
where ss_buckets.item_id = invplan.item_id
and ss_buckets.startdate <= greatest(invplan.startdate, %%s)
and ss_buckets.enddate > greatest(invplan.startdate, %%s)
and ssvalue is not null
order by ss_buckets.priority_1, ss_buckets.priority_2 limit 1
) safetystock,
invplan.consumed,
invplan.consumedMO,
invplan.consumedDO,
invplan.consumedSO,
invplan.produced,
invplan.producedMO,
invplan.producedDO,
invplan.producedPO
from (
select
opplanmat.item_id, opplanmat.location_id,
d.bucket as bucket, d.startdate as startdate, d.enddate as enddate,
coalesce(sum(greatest(operationplanmaterial.quantity, 0)),0) as produced,
coalesce(sum(greatest(case when operationplan.type = 'MO' then operationplanmaterial.quantity else 0 end, 0)),0) as producedMO,
coalesce(sum(greatest(case when operationplan.type = 'DO' then operationplanmaterial.quantity else 0 end, 0)),0) as producedDO,
coalesce(sum(greatest(case when operationplan.type = 'PO' then operationplanmaterial.quantity else 0 end, 0)),0) as producedPO,
coalesce(-sum(least(operationplanmaterial.quantity, 0)),0) as consumed,
coalesce(-sum(least(case when operationplan.type = 'MO' then operationplanmaterial.quantity else 0 end, 0)),0) as consumedMO,
coalesce(-sum(least(case when operationplan.type = 'DO' then operationplanmaterial.quantity else 0 end, 0)),0) as consumedDO,
coalesce(-sum(least(case when operationplan.type = 'DLVR' then operationplanmaterial.quantity else 0 end, 0)),0) as consumedSO,
coalesce(initial_on_hand.onhand,0) startoh
from opplanmat
-- Multiply with buckets
cross join (
select name as bucket, startdate, enddate
from common_bucketdetail
where bucket_id = %%s and enddate > %%s and startdate < %%s
) d
-- Initial on hand
left join operationplanmaterial initial_on_hand
on initial_on_hand.item_id = opplanmat.item_id
and initial_on_hand.location_id = opplanmat.location_id
and initial_on_hand.flowdate < greatest(d.startdate,%%s)
and not exists (select 1 from operationplanmaterial opm where opm.item_id = initial_on_hand.item_id
and opm.location_id = initial_on_hand.location_id and opm.flowdate < greatest(d.startdate,%%s)
and opm.id > initial_on_hand.id)
-- Consumed and produced quantities
left join operationplanmaterial
on opplanmat.item_id = operationplanmaterial.item_id
and opplanmat.location_id = operationplanmaterial.location_id
and d.startdate <= operationplanmaterial.flowdate
and d.enddate > operationplanmaterial.flowdate
and operationplanmaterial.flowdate >= greatest(d.startdate,%%s)
and operationplanmaterial.flowdate < %%s
left outer join operationplan on operationplan.id = operationplanmaterial.operationplan_id
-- Grouping and sorting
group by opplanmat.item_id,
opplanmat.location_id,
d.bucket,
d.startdate,
d.enddate,
coalesce(initial_on_hand.onhand,0)
) invplan
left outer join item on
invplan.item_id = item.name
left outer join location on
invplan.location_id = location.name
order by %s, invplan.startdate
''' % (
basesql, reportclass.attr_sql, sortsql
)
cursor.execute(
query, baseparams + (
request.report_startdate, request.report_startdate,
request.report_startdate, request.report_startdate,
request.report_bucket, request.report_startdate, request.report_enddate,
request.report_startdate, request.report_startdate, request.report_startdate, request.report_enddate
)
)
# Build the python result
prevbuf = None
for row in cursor.fetchall():
numfields = len(row)
res = {
'buffer': row[0],
'item': row[1],
'location': row[2],
'item__description': row[3],
'item__category': row[4],
'item__subcategory': row[5],
'item__owner': row[6],
'item__source': row[7],
'item__lastmodified': row[8],
'location__description': row[9],
'location__category': row[10],
'location__subcategory': row[11],
'location__available_id': row[12],
'location__owner_id': row[13],
'location__source': row[14],
'location__lastmodified': row[15],
'startoh': round(row[numfields - 15], 1),
'endoh': round(row[numfields - 14], 1),
'startohdoc': int(row[numfields - 13]),
'bucket': row[numfields - 12],
'startdate': row[numfields - 11].date(),
'enddate': row[numfields - 10].date(),
'safetystock': round(row[numfields - 9] or 0, 1),
'consumed': round(row[numfields - 8], 1),
'consumedMO': round(row[numfields - 7], 1),
'consumedDO': round(row[numfields - 6], 1),
'consumedSO': round(row[numfields - 5], 1),
'produced': round(row[numfields - 4], 1),
'producedMO': round(row[numfields - 3], 1),
'producedDO': round(row[numfields - 2], 1),
'producedPO': round(row[numfields - 1], 1),
}
# Add attribute fields
idx = 16
for f in getAttributeFields(Item, related_name_prefix="item"):
res[f.field_name] = row[idx]
idx += 1
for f in getAttributeFields(Location, related_name_prefix="location"):
res[f.field_name] = row[idx]
idx += 1
yield res
def query(reportclass, request, basequery, sortsql='1 asc'):
cursor = connections[request.database].cursor()
basesql, baseparams = basequery.query.get_compiler(basequery.db).as_sql(with_col_aliases=False)
# Execute the actual query
query = '''
select item.name||' @ '||location.name,
item.name item_id,
location.name location_id,
item.description,
item.category,
item.subcategory,
item.owner_id,
item.source,
item.lastmodified,
location.description,
location.category,
location.subcategory,
location.available_id,
location.owner_id,
location.source,
location.lastmodified,
%s
coalesce((select onhand from operationplanmaterial where item_id = item.name and
location_id = location.name and flowdate < greatest(d.startdate,%%s)
order by flowdate desc, id desc limit 1),0) startoh,
coalesce((select onhand from operationplanmaterial where item_id = item.name and location_id = location.name
and flowdate < greatest(d.startdate,%%s)
order by flowdate desc, id desc limit 1),0) - coalesce(-sum(least(operationplanmaterial.quantity, 0)),0)
+ coalesce(sum(greatest(operationplanmaterial.quantity, 0)),0) endoh,
case when coalesce((select onhand from operationplanmaterial where item_id = item.name and
location_id = location.name and flowdate < greatest(d.startdate,%%s)
order by flowdate desc, id desc limit 1),0) = 0 then 0
when (select to_char(flowdate,'YYYY-MM-DD')||' '||round(periodofcover/86400) from operationplanmaterial where item_id = item.name and
location_id = location.name and flowdate < greatest(d.startdate,%%s)
order by flowdate desc, id desc limit 1) = '1971-01-01 999' then 999 else
extract( epoch from (select flowdate from operationplanmaterial where item_id = item.name and
location_id = location.name and flowdate < greatest(d.startdate,%%s)
order by flowdate desc, id desc limit 1)
+ coalesce((select periodofcover from operationplanmaterial where item_id = item.name and
location_id = location.name and flowdate < greatest(d.startdate,%%s)
order by flowdate desc, id desc limit 1),0) * interval '1 second'
- greatest(d.startdate,%%s))/86400 end startohdoc,
d.bucket,
d.startdate,
d.enddate,
coalesce((select minimum from operationplanmaterial where item_id = item.name and
location_id = location.name and flowdate < greatest(d.startdate,%%s)
order by flowdate desc, id desc limit 1),0) safetystock,
coalesce(-sum(least(operationplanmaterial.quantity, 0)),0) as consumed,
coalesce(-sum(least(case when operationplan.type = 'MO' then operationplanmaterial.quantity else 0 end, 0)),0) as consumedMO,
coalesce(-sum(least(case when operationplan.type = 'DO' then operationplanmaterial.quantity else 0 end, 0)),0) as consumedDO,
coalesce(-sum(least(case when operationplan.type = 'DLVR' then operationplanmaterial.quantity else 0 end, 0)),0) as consumedSO,
coalesce(sum(greatest(operationplanmaterial.quantity, 0)),0) as produced,
coalesce(sum(greatest(case when operationplan.type = 'MO' then operationplanmaterial.quantity else 0 end, 0)),0) as producedMO,
coalesce(sum(greatest(case when operationplan.type = 'DO' then operationplanmaterial.quantity else 0 end, 0)),0) as producedDO,
coalesce(sum(greatest(case when operationplan.type = 'PO' then operationplanmaterial.quantity else 0 end, 0)),0) as producedPO
from
(%s) opplanmat
inner join item on item.name = opplanmat.item_id
inner join location on location.name = opplanmat.location_id
-- Multiply with buckets
cross join (
select name as bucket, startdate, enddate
from common_bucketdetail
where bucket_id = %%s and enddate > %%s and startdate < %%s
) d
-- Consumed and produced quantities
left join operationplanmaterial
on opplanmat.item_id = operationplanmaterial.item_id
and opplanmat.location_id = operationplanmaterial.location_id
and d.startdate <= operationplanmaterial.flowdate
and d.enddate > operationplanmaterial.flowdate
and operationplanmaterial.flowdate >= greatest(d.startdate,%%s)
and operationplanmaterial.flowdate < d.enddate
left outer join operationplan on operationplan.id = operationplanmaterial.operationplan_id
group by
item.name,
location.name,
item.description,
item.category,
item.subcategory,
item.owner_id,
item.source,
item.lastmodified,
location.description,
location.category,
location.subcategory,
location.available_id,
location.owner_id,
location.source,
location.lastmodified,
d.bucket,
d.startdate,
d.enddate
order by %s, d.startdate
''' % (
reportclass.attr_sql, basesql, sortsql
)
cursor.execute(
query, (
request.report_startdate, # startoh
request.report_startdate, # endoh
request.report_startdate, # startohdoc
request.report_startdate, # startohdoc
request.report_startdate, # startohdoc
request.report_startdate, # startohdoc
request.report_startdate, # startohdoc
request.report_startdate,) # safetystock
+ baseparams + # opplanmat
(request.report_bucket, request.report_startdate, request.report_enddate, # bucket d
request.report_startdate, # operationplanmaterial
)
)
# Build the python result
for row in cursor.fetchall():
numfields = len(row)
res = {
'buffer': row[0],
'item': row[1],
'location': row[2],
'item__description': row[3],
'item__category': row[4],
'item__subcategory': row[5],
'item__owner': row[6],
'item__source': row[7],
'item__lastmodified': row[8],
'location__description': row[9],
'location__category': row[10],
'location__subcategory': row[11],
'location__available_id': row[12],
'location__owner_id': row[13],
'location__source': row[14],
'location__lastmodified': row[15],
'startoh': round(row[numfields - 15], 1),
'endoh': round(row[numfields - 14], 1),
'startohdoc': int(row[numfields - 13]),
'bucket': row[numfields - 12],
'startdate': row[numfields - 11].date(),
'enddate': row[numfields - 10].date(),
'safetystock': round(row[numfields - 9] or 0, 1),
'consumed': round(row[numfields - 8], 1),
'consumedMO': round(row[numfields - 7], 1),
'consumedDO': round(row[numfields - 6], 1),
'consumedSO': round(row[numfields - 5], 1),
'produced': round(row[numfields - 4], 1),
'producedMO': round(row[numfields - 3], 1),
'producedDO': round(row[numfields - 2], 1),
'producedPO': round(row[numfields - 1], 1),
}
# Add attribute fields
idx = 16
for f in getAttributeFields(Item, related_name_prefix="item"):
res[f.field_name] = row[idx]
idx += 1
for f in getAttributeFields(Location, related_name_prefix="location"):
res[f.field_name] = row[idx]
idx += 1
yield res
def query(reportclass, request, basequery, sortsql='1 asc'):
cursor = connections[request.database].cursor()
basesql, baseparams = basequery.query.get_compiler(basequery.db).as_sql(with_col_aliases=False)
# Execute a query to get the onhand value at the start of our horizon
startohdict = {}
query = '''
select opplanmat.item_id, opplanmat.location_id, sum(oh.onhand)
from (%s) opplanmat
inner join (
select operationplanmaterial.item_id,
operationplanmaterial.location_id,
operationplanmaterial.onhand as onhand
from operationplanmaterial,
(select item_id, location_id, max(id) as id
from operationplanmaterial
where flowdate < '%s'
group by item_id, location_id
) maxid
where maxid.item_id = operationplanmaterial.item_id
and maxid.location_id = operationplanmaterial.location_id
and maxid.id = operationplanmaterial.id
) oh
on oh.item_id = opplanmat.item_id
and oh.location_id = opplanmat.location_id
group by opplanmat.item_id, opplanmat.location_id
''' % (basesql, request.report_startdate)
cursor.execute(query, baseparams)
for row in cursor.fetchall():
startohdict[ "%s @ %s" % (row[0], row[1]) ] = float(row[2])
# Execute the actual query
query = '''
select
invplan.item_id || ' @ ' || invplan.location_id,
invplan.item_id, invplan.location_id,
item.description, item.category, item.subcategory, item.owner_id,
item.source, item.lastmodified, location.description, location.category,
location.subcategory, location.available_id, location.owner_id,
location.source, location.lastmodified, %s
invplan.bucket, invplan.startdate, invplan.enddate,
invplan.consumed, invplan.produced
from (
select
opplanmat.item_id, opplanmat.location_id,
d.bucket as bucket, d.startdate as startdate, d.enddate as enddate,
coalesce(sum(greatest(operationplanmaterial.quantity, 0)),0) as consumed,
coalesce(-sum(least(operationplanmaterial.quantity, 0)),0) as produced
from (%s) opplanmat
-- Multiply with buckets
cross join (
select name as bucket, startdate, enddate
from common_bucketdetail
where bucket_id = %%s and enddate > %%s and startdate < %%s
) d
-- Consumed and produced quantities
left join operationplanmaterial
on opplanmat.item_id = operationplanmaterial.item_id
and opplanmat.location_id = operationplanmaterial.location_id
and d.startdate <= operationplanmaterial.flowdate
and d.enddate > operationplanmaterial.flowdate
and operationplanmaterial.flowdate >= %%s
and operationplanmaterial.flowdate < %%s
-- Grouping and sorting
group by opplanmat.item_id, opplanmat.location_id, d.bucket, d.startdate, d.enddate
) invplan
left outer join item on
invplan.item_id = item.name
left outer join location on
invplan.location_id = location.name
order by %s, invplan.startdate
''' % (
reportclass.attr_sql, basesql, sortsql
)
cursor.execute(
query, baseparams + (
request.report_bucket, request.report_startdate,
request.report_enddate, request.report_startdate, request.report_enddate
)
)
# Build the python result
prevbuf = None
for row in cursor.fetchall():
numfields = len(row)
if row[0] != prevbuf:
prevbuf = row[0]
startoh = startohdict.get(prevbuf, 0)
endoh = startoh + float(row[numfields - 2] - row[numfields - 1])
else:
startoh = endoh
endoh += float(row[numfields - 2] - row[numfields - 1])
res = {
'buffer': row[0],
'item': row[1],
'location': row[2],
'item__description': row[3],
'item__category': row[4],
'item__subcategory': row[5],
'item__owner': row[6],
'item__source': row[7],
'item__lastmodified': row[8],
'location__description': row[9],
'location__category': row[10],
'location__subcategory': row[11],
'location__available_id': row[12],
'location__owner_id': row[13],
'location__source': row[14],
'location__lastmodified': row[15],
'bucket': row[numfields - 5],
'startdate': row[numfields - 4].date(),
'enddate': row[numfields - 3].date(),
'startoh': round(startoh, 1),
'produced': round(row[numfields - 2], 1),
'consumed': round(row[numfields - 1], 1),
'endoh': round(endoh, 1),
}
# Add attribute fields
idx = 16
for f in getAttributeFields(Item, related_name_prefix="item"):
res[f.field_name] = row[idx]
idx += 1
for f in getAttributeFields(Location, related_name_prefix="location"):
res[f.field_name] = row[idx]
idx += 1
yield res
def query(reportclass, request, basequery, sortsql='1 asc'):
cursor = connections[request.database].cursor()
basesql, baseparams = basequery.query.get_compiler(basequery.db).as_sql(with_col_aliases=False)
# Execute the actual query
query = '''
select item.name||' @ '||location.name,
item.name item_id,
location.name location_id,
item.description,
item.category,
item.subcategory,
item.cost,
item.owner_id,
item.source,
item.lastmodified,
location.description,
location.category,
location.subcategory,
location.available_id,
location.owner_id,
location.source,
location.lastmodified,
%s
(select jsonb_build_object('onhand', onhand, 'flowdate', to_char(flowdate,'YYYY-MM-DD HH24:MI:SS'), 'periodofcover', periodofcover)
from operationplanmaterial where item_id = item.name and
location_id = location.name and flowdate < greatest(d.startdate,%%s)
order by flowdate desc, id desc limit 1) startoh,
d.bucket,
d.startdate,
d.enddate,
(select safetystock from
(
select 1 as priority, coalesce((select value from calendarbucket
where calendar_id = 'SS for '||item.name||' @ '||location.name
and greatest(d.startdate,%%s) >= startdate and greatest(d.startdate,%%s) < enddate
order by priority limit 1), (select defaultvalue from calendar where name = 'SS for '||item.name||' @ '||location.name)) as safetystock
union all
select 2 as priority, coalesce((select value from calendarbucket
where calendar_id = (select minimum_calendar_id from buffer where name = item.name||' @ '||location.name)
and greatest(d.startdate,%%s) >= startdate and greatest(d.startdate,%%s) < enddate
order by priority limit 1), (select defaultvalue from calendar where name = (select minimum_calendar_id from buffer where name = item.name||' @ '||location.name))) as safetystock
union all
select 3 as priority, minimum as safetystock from buffer where name = item.name||' @ '||location.name
) t
where t.safetystock is not null
order by priority
limit 1) safetystock,
(select jsonb_build_object(
'work_in_progress_mo', sum(case when (startdate < d.enddate and enddate >= d.enddate) and opm.quantity > 0 and operationplan.type = 'MO' then opm.quantity else 0 end),
'on_order_po', sum(case when (startdate < d.enddate and enddate >= d.enddate) and opm.quantity > 0 and operationplan.type = 'PO' then opm.quantity else 0 end),
'in_transit_do', sum(case when (startdate < d.enddate and enddate >= d.enddate) and opm.quantity > 0 and operationplan.type = 'DO' then opm.quantity else 0 end),
'total_in_progress', sum(case when (startdate < d.enddate and enddate >= d.enddate) and opm.quantity > 0 then opm.quantity else 0 end),
'consumed', sum(case when (opm.flowdate >= greatest(d.startdate,%%s) and opm.flowdate < d.enddate) and opm.quantity < 0 then -opm.quantity else 0 end),
'consumedMO', sum(case when operationplan.type = 'MO' and (opm.flowdate >= greatest(d.startdate,%%s) and opm.flowdate < d.enddate) and opm.quantity < 0 then -opm.quantity else 0 end),
'consumedDO', sum(case when operationplan.type = 'DO' and (opm.flowdate >= greatest(d.startdate,%%s) and opm.flowdate < d.enddate) and opm.quantity < 0 then -opm.quantity else 0 end),
'consumedSO', sum(case when operationplan.type = 'DLVR' and (opm.flowdate >= greatest(d.startdate,%%s) and opm.flowdate < d.enddate) and opm.quantity < 0 then -opm.quantity else 0 end),
'produced', sum(case when (opm.flowdate >= greatest(d.startdate,%%s) and opm.flowdate < d.enddate) and opm.quantity > 0 then opm.quantity else 0 end),
'producedMO', sum(case when operationplan.type = 'MO' and (opm.flowdate >= greatest(d.startdate,%%s) and opm.flowdate < d.enddate) and opm.quantity > 0 then opm.quantity else 0 end),
'producedDO', sum(case when operationplan.type = 'DO' and (opm.flowdate >= greatest(d.startdate,%%s) and opm.flowdate < d.enddate) and opm.quantity > 0 then opm.quantity else 0 end),
'producedPO', sum(case when operationplan.type = 'PO' and (opm.flowdate >= greatest(d.startdate,%%s) and opm.flowdate < d.enddate) and opm.quantity > 0 then opm.quantity else 0 end)
)
from operationplanmaterial opm
inner join operationplan on operationplan.id = opm.operationplan_id
and ((startdate < d.enddate and enddate >= d.enddate)
or (opm.flowdate >= greatest(d.startdate,%%s) and opm.flowdate < d.enddate))
where opm.item_id = item.name and opm.location_id = location.name) ongoing
from
(%s) opplanmat
inner join item on item.name = opplanmat.item_id
inner join location on location.name = opplanmat.location_id
-- Multiply with buckets
cross join (
select name as bucket, startdate, enddate
from common_bucketdetail
where bucket_id = %%s and enddate > %%s and startdate < %%s
) d
group by
item.name,
location.name,
item.description,
item.category,
item.subcategory,
item.cost,
item.owner_id,
item.source,
item.lastmodified,
location.description,
location.category,
location.subcategory,
location.available_id,
location.owner_id,
location.source,
location.lastmodified,
d.bucket,
d.startdate,
d.enddate
order by %s, d.startdate
''' % (
reportclass.attr_sql, basesql, sortsql
)
# Build the python result
with connections[request.database].chunked_cursor() as cursor_chunked:
cursor_chunked.execute(
query,
(
request.report_startdate, # startoh
request.report_startdate, request.report_startdate, request.report_startdate, request.report_startdate, # safetystock
) +
(request.report_startdate, ) * 9 + # ongoing
baseparams + # opplanmat
(request.report_bucket, request.report_startdate, request.report_enddate), # bucket d
)
for row in cursor_chunked:
numfields = len(row)
res = {
'buffer': row[0],
'item': row[1],
'location': row[2],
'item__description': row[3],
'item__category': row[4],
'item__cost': row[6],
'item__owner': row[7],
'item__source': row[8],
'item__lastmodified': row[9],
'location__description': row[10],
'location__category': row[11],
'location__subcategory': row[12],
'location__available_id': row[13],
'location__owner_id': row[14],
'location__source': row[15],
'location__lastmodified': row[16],
'startoh': round(row[numfields - 6]['onhand'] if row[numfields - 6] else 0, 1),
'startohdoc': 0 if (row[numfields - 6]['onhand'] if row[numfields - 6] else 0) <= 0\
else (999 if row[numfields - 6]['periodofcover'] == 86313600\
else (datetime.strptime(row[numfields - 6]['flowdate'],'%Y-%m-%d %H:%M:%S') +\
timedelta(seconds=row[numfields - 6]['periodofcover']) - row[numfields - 4]).days if row[numfields - 6]['periodofcover'] else 999),
'bucket': row[numfields - 5],
'startdate': row[numfields - 4].date(),
'enddate': row[numfields - 3].date(),
'safetystock': round(row[numfields - 2] or 0, 1),
'consumed': round(row[numfields - 1]['consumed'] or 0, 1),
'consumedMO': round(row[numfields - 1]['consumedMO'] or 0, 1),
'consumedDO': round(row[numfields - 1]['consumedDO'] or 0, 1),
'consumedSO': round(row[numfields - 1]['consumedSO'] or 0, 1),
'produced': round(row[numfields - 1]['produced'] or 0, 1),
'producedMO': round(row[numfields - 1]['producedMO'] or 0, 1),
'producedDO': round(row[numfields - 1]['producedDO'] or 0, 1),
'producedPO': round(row[numfields - 1]['producedPO'] or 0, 1),
'total_in_progress': round(row[numfields - 1]['total_in_progress'] or 0, 1),
'work_in_progress_mo': round(row[numfields - 1]['work_in_progress_mo'] or 0, 1),
'on_order_po': round(row[numfields - 1]['on_order_po'] or 0, 1),
'in_transit_do': round(row[numfields - 1]['in_transit_do'] or 0, 1),
'endoh': round(float(round(row[numfields - 6]['onhand'] if row[numfields - 6] else 0, 1)) + float(round(row[numfields - 1]['produced'] or 0, 1)) - float(round(row[numfields - 1]['consumed'] or 0, 1)), 1),
}
# Add attribute fields
idx = 16
for f in getAttributeFields(Item, related_name_prefix="item"):
res[f.field_name] = row[idx]
idx += 1
for f in getAttributeFields(Location, related_name_prefix="location"):
res[f.field_name] = row[idx]
idx += 1
yield res
def query(reportclass, request, basequery, sortsql='1 asc'):
basesql, baseparams = basequery.query.get_compiler(
basequery.db).as_sql(with_col_aliases=False)
# Assure the item hierarchy is up to date
Item.rebuildHierarchy(database=basequery.db)
# Execute a query to get the backlog at the start of the horizon
startbacklogdict = {}
query = '''
select items.name, coalesce(req.qty, 0) - coalesce(pln.qty, 0)
from (%s) items
left outer join (
select parent.name, sum(quantity) qty
from demand
inner join item on demand.item_id = item.name
inner join item parent on item.lft between parent.lft and parent.rght
where status in ('open', 'quote')
and due < %%s
group by parent.name
) req
on req.name = items.name
left outer join (
select parent.name, sum(operationplan.quantity) qty
from operationplan
inner join demand on operationplan.demand_id = demand.name
and operationplan.owner_id is null
and operationplan.enddate < %%s
inner join item on demand.item_id = item.name
inner join item parent on item.lft between parent.lft and parent.rght
group by parent.name
) pln
on pln.name = items.name
''' % basesql
with connections[request.database].chunked_cursor() as cursor_chunked:
cursor_chunked.execute(
query, baseparams +
(request.report_startdate, request.report_startdate))
for row in cursor_chunked:
if row[0]:
startbacklogdict[row[0]] = float(row[1])
# Execute the query
query = '''
select
parent.name, %s
d.bucket,
d.startdate,
d.enddate,
sum(coalesce((select sum(quantity) from demand
where demand.item_id = child.name and status in ('open','quote') and due >= greatest(%%s,d.startdate) and due < d.enddate),0)) orders,
sum(coalesce((select sum(-operationplanmaterial.quantity) from operationplanmaterial
inner join operationplan on operationplan.id = operationplanmaterial.operationplan_id and operationplan.type = 'DLVR'
where operationplanmaterial.item_id = child.name
and operationplanmaterial.flowdate >= greatest(%%s,d.startdate)
and operationplanmaterial.flowdate < d.enddate),0)) planned
from (%s) parent
inner join item child on child.lft between parent.lft and parent.rght
cross join (
select name as bucket, startdate, enddate
from common_bucketdetail
where bucket_id = %%s and enddate > %%s and startdate < %%s
) d
group by
parent.name, %s
d.bucket,
d.startdate,
d.enddate
order by %s, d.startdate
''' % (reportclass.attr_sql, basesql, reportclass.attr_sql, sortsql)
# Build the python result
with connections[request.database].chunked_cursor() as cursor_chunked:
cursor_chunked.execute(
query,
baseparams + (
request.report_startdate, #orders
request.report_startdate, #planned
request.report_bucket,
request.report_startdate,
request.report_enddate #buckets
))
previtem = None
for row in cursor_chunked:
numfields = len(row)
if row[0] != previtem:
backlog = startbacklogdict.get(row[0], 0)
previtem = row[0]
backlog += float(row[numfields - 2]) - float(
row[numfields - 1])
res = {
'item': row[0],
'bucket': row[numfields - 5],
'startdate': row[numfields - 4].date(),
'enddate': row[numfields - 3].date(),
'demand': round(row[numfields - 2], 1),
'supply': round(row[numfields - 1], 1),
'backlog': round(backlog, 1),
}
idx = 1
for f in getAttributeFields(Item):
res[f.field_name] = row[idx]
idx += 1
yield res
def query(reportclass, request, basequery, sortsql='1 asc'):
cursor = connections[request.database].cursor()
basesql, baseparams = basequery.query.get_compiler(
basequery.db).as_sql(with_col_aliases=False)
# Assure the item hierarchy is up to date
Buffer.rebuildHierarchy(database=basequery.db)
# Execute a query to get the onhand value at the start of our horizon
startohdict = {}
query = '''
select buffers.name, sum(oh.onhand)
from (%s) buffers
inner join buffer
on buffer.lft between buffers.lft and buffers.rght
inner join (
select operationplanmaterial.buffer as buffer, operationplanmaterial.onhand as onhand
from operationplanmaterial,
(select buffer, max(id) as id
from operationplanmaterial
where flowdate < '%s'
group by buffer
) maxid
where maxid.buffer = operationplanmaterial.buffer
and maxid.id = operationplanmaterial.id
) oh
on oh.buffer = buffer.name
group by buffers.name
''' % (basesql, request.report_startdate)
cursor.execute(query, baseparams)
for row in cursor.fetchall():
startohdict[row[0]] = float(row[1])
# Execute the actual query
query = '''
select
invplan.buffer_id, item.name, location.name, %s
invplan.bucket, invplan.startdate, invplan.enddate,
invplan.consumed, invplan.produced
from (
select
buf.name as buffer_id,
d.bucket as bucket, d.startdate as startdate, d.enddate as enddate,
coalesce(sum(greatest(operationplanmaterial.quantity, 0)),0) as consumed,
coalesce(-sum(least(operationplanmaterial.quantity, 0)),0) as produced
from (%s) buf
-- Multiply with buckets
cross join (
select name as bucket, startdate, enddate
from common_bucketdetail
where bucket_id = %%s and enddate > %%s and startdate < %%s
) d
-- Include child buffers
inner join buffer
on buffer.lft between buf.lft and buf.rght
-- Consumed and produced quantities
left join operationplanmaterial
on buffer.name = operationplanmaterial.buffer
and d.startdate <= operationplanmaterial.flowdate
and d.enddate > operationplanmaterial.flowdate
and operationplanmaterial.flowdate >= %%s
and operationplanmaterial.flowdate < %%s
-- Grouping and sorting
group by buf.name, buf.item_id, buf.location_id, buf.onhand, d.bucket, d.startdate, d.enddate
) invplan
left outer join buffer on
invplan.buffer_id = buffer.name
left outer join item on
buffer.item_id = item.name
left outer join location on
buffer.location_id = location.name
order by %s, invplan.startdate
''' % (reportclass.attr_sql, basesql, sortsql)
cursor.execute(
query,
baseparams + (request.report_bucket, request.report_startdate,
request.report_enddate, request.report_startdate,
request.report_enddate))
# Build the python result
prevbuf = None
for row in cursor.fetchall():
numfields = len(row)
if row[0] != prevbuf:
prevbuf = row[0]
startoh = startohdict.get(prevbuf, 0)
endoh = startoh + float(row[numfields - 2] -
row[numfields - 1])
else:
startoh = endoh
endoh += float(row[numfields - 2] - row[numfields - 1])
res = {
'buffer': row[0],
'item': row[1],
'location': row[2],
'bucket': row[numfields - 5],
'startdate': row[numfields - 4].date(),
'enddate': row[numfields - 3].date(),
'startoh': round(startoh, 1),
'produced': round(row[numfields - 2], 1),
'consumed': round(row[numfields - 1], 1),
'endoh': round(endoh, 1),
}
# Add attribute fields
idx = 3
for f in getAttributeFields(Item, related_name_prefix="item"):
res[f.field_name] = row[idx]
idx += 1
for f in getAttributeFields(Location,
related_name_prefix="location"):
res[f.field_name] = row[idx]
idx += 1
yield res
def query(reportclass, request, basequery, sortsql="1 asc"):
basesql, baseparams = basequery.query.get_compiler(
basequery.db).as_sql(with_col_aliases=False)
# Get the time units
units = OverviewReport.getUnits(request)
# Assure the item hierarchy is up to date
Resource.rebuildHierarchy(database=basequery.db)
# Execute the query
query = """
select res.name, res.description, res.category, res.subcategory,
res.type, res.constrained, res.maximum, res.maximum_calendar_id,
res.cost, res.maxearly, res.setupmatrix_id, res.setup, location.name,
location.description, location.category, location.subcategory,
location.available_id, res.avgutil, res.available_id available_calendar,
res.owner_id,
%s
d.bucket as col1, d.startdate as col2,
coalesce(sum(out_resourceplan.available),0) / (case when res.type = 'buckets' then 1 else %f end) as available,
coalesce(sum(out_resourceplan.unavailable),0) / (case when res.type = 'buckets' then 1 else %f end) as unavailable,
coalesce(sum(out_resourceplan.load),0) / (case when res.type = 'buckets' then 1 else %f end) as loading,
coalesce(sum(out_resourceplan.setup),0) / (case when res.type = 'buckets' then 1 else %f end) as setup
from (%s) res
left outer join location
on res.location_id = location.name
-- Multiply with buckets
cross join (
select name as bucket, startdate, enddate
from common_bucketdetail
where bucket_id = '%s' and enddate > '%s' and startdate < '%s'
) d
-- Utilization info
left join out_resourceplan
on res.name = out_resourceplan.resource
and d.startdate <= out_resourceplan.startdate
and d.enddate > out_resourceplan.startdate
and out_resourceplan.startdate >= '%s'
and out_resourceplan.startdate < '%s'
-- Grouping and sorting
group by res.name, res.description, res.category, res.subcategory,
res.type, res.maximum, res.maximum_calendar_id, res.available_id, res.cost, res.maxearly,
res.setupmatrix_id, res.setup, location.name, location.description,
location.category, location.subcategory, location.available_id, res.avgutil, res.owner_id,
res.constrained,
%s d.bucket, d.startdate
order by %s, d.startdate
""" % (
reportclass.attr_sql,
units[0],
units[0],
units[0],
units[0],
basesql,
request.report_bucket,
request.report_startdate,
request.report_enddate,
request.report_startdate,
request.report_enddate,
reportclass.attr_sql,
sortsql,
)
# Build the python result
with connections[request.database].chunked_cursor() as cursor_chunked:
cursor_chunked.execute(query, baseparams)
for row in cursor_chunked:
numfields = len(row)
if row[numfields - 4] != 0:
util = round(row[numfields - 2] * 100 / row[numfields - 4],
2)
else:
util = 0
result = {
"resource": row[0],
"description": row[1],
"category": row[2],
"subcategory": row[3],
"type": row[4],
"constrained": row[5],
"maximum": row[6],
"maximum_calendar": row[7],
"cost": row[8],
"maxearly": row[9],
"setupmatrix": row[10],
"setup": row[11],
"location__name": row[12],
"location__description": row[13],
"location__category": row[14],
"location__subcategory": row[15],
"location__available": row[16],
"avgutil": round(row[17], 2),
"available_calendar": row[18],
"owner": row[19],
"bucket": row[numfields - 6],
"startdate": row[numfields - 5],
"available": row[numfields - 4],
"unavailable": row[numfields - 3],
"load": row[numfields - 2],
"setuptime": row[numfields - 1],
"utilization": util,
}
idx = 20
for f in getAttributeFields(Resource):
result[f.field_name] = row[idx]
idx += 1
for f in getAttributeFields(Location):
result[f.field_name] = row[idx]
idx += 1
yield result
def query(reportclass, request, basequery, sortsql="1 asc"):
basesql, baseparams = basequery.query.get_compiler(basequery.db).as_sql(
with_col_aliases=False
)
# Assure the item hierarchy is up to date
Item.rebuildHierarchy(database=basequery.db)
# Execute a query to get the backlog at the start of the horizon
startbacklogdict = {}
query = """
select name, sum(qty) from
(
select item.name, sum(demand.quantity) qty from (%s) item
inner join item child on child.lft between item.lft and item.rght
inner join demand on demand.item_id = child.name
and demand.status in ('open','quote')
and due < %%s
group by item.name
union all
select item.name, sum(operationplanmaterial.quantity) qty
from (%s) item
inner join item child on child.lft between item.lft and item.rght
inner join operationplanmaterial on operationplanmaterial.item_id = child.name
inner join operationplan on operationplan.reference = operationplanmaterial.operationplan_id
and operationplan.demand_id is not null
and operationplan.enddate < %%s
group by item.name
) t
group by name
""" % (
basesql,
basesql,
)
with transaction.atomic(using=request.database):
with connections[request.database].chunked_cursor() as cursor_chunked:
cursor_chunked.execute(
query,
baseparams
+ (request.report_startdate,)
+ baseparams
+ (request.report_startdate,),
)
for row in cursor_chunked:
if row[0]:
startbacklogdict[row[0]] = max(float(row[1]), 0)
# Execute the query
query = """
select
parent.name, parent.description, parent.category, parent.subcategory,
parent.owner_id, parent.cost, parent.volume, parent.weight, parent.uom, parent.periodofcover, parent.source, parent.lastmodified,
%s
d.bucket,
d.startdate,
d.enddate,
sum(coalesce((
select sum(quantity)
from demand
inner join item child on child.lft between parent.lft and parent.rght
where demand.item_id = child.name
and status in ('open','quote')
and due >= greatest(%%s,d.startdate)
and due < d.enddate
),0)) orders,
sum(coalesce((
select sum(operationplan.quantity)
from operationplan
inner join item child on child.lft between parent.lft and parent.rght
where operationplan.item_id = child.name
and operationplan.demand_id is not null
and operationplan.enddate >= greatest(%%s,d.startdate)
and operationplan.enddate < d.enddate
),0)) planned,
(select json_agg(json_build_array(f1,f2)) from
(select distinct out_constraint.name as f1, out_constraint.owner as f2
from out_constraint
inner join item child
on child.lft between parent.lft and parent.rght
inner join operationplan
on operationplan.demand_id = out_constraint.demand
and operationplan.due is not null
and out_constraint.item = child.name
and operationplan.enddate >= greatest(%%s,d.startdate)
and (
out_constraint.name not in ('before current', 'before fence')
or out_constraint.enddate > d.enddate
)
and operationplan.due < d.enddate
limit 20
) cte_reasons
) reasons
from (%s) parent
cross join (
select name as bucket, startdate, enddate
from common_bucketdetail
where bucket_id = %%s and enddate > %%s and startdate < %%s
) d
group by
parent.name, parent.description, parent.category, parent.subcategory,
parent.owner_id, parent.cost, parent.volume, parent.weight, parent.uom, parent.periodofcover,
parent.source, parent.lastmodified, parent.lft, parent.rght,
%s
d.bucket, d.startdate, d.enddate
order by %s, d.startdate
""" % (
reportclass.attr_sql,
basesql,
reportclass.attr_sql,
sortsql,
)
# Build the python result
with transaction.atomic(using=request.database):
with connections[request.database].chunked_cursor() as cursor_chunked:
cursor_chunked.execute(
query,
(request.report_startdate,) * 3 # orders + planned + constraints
+ baseparams # orders planned
+ (
request.report_bucket,
request.report_startdate,
request.report_enddate,
), # buckets
)
previtem = None
itemattributefields = getAttributeFields(Item)
for row in cursor_chunked:
numfields = len(row)
if row[0] != previtem:
backlog = startbacklogdict.get(row[0], 0)
previtem = row[0]
backlog += float(row[numfields - 3]) - float(row[numfields - 2])
res = {
"item": row[0],
"description": row[1],
"category": row[2],
"subcategory": row[3],
"owner": row[4],
"cost": row[5],
"volume": row[6],
"weight": row[7],
"uom": row[8],
"periodofcover": row[9],
"source": row[10],
"lastmodified": row[11],
"bucket": row[numfields - 6],
"startdate": row[numfields - 5].date(),
"enddate": row[numfields - 4].date(),
"demand": row[numfields - 3],
"supply": row[numfields - 2],
"reasons": json.dumps(row[numfields - 1]),
"backlog": max(backlog or 0, 0),
}
idx = 12
for f in itemattributefields:
res[f.field_name] = row[idx]
idx += 1
yield res
def query(reportclass, request, basequery, sortsql='1 asc'):
basesql, baseparams = basequery.query.get_compiler(
basequery.db).as_sql(with_col_aliases=False)
# Assure the item hierarchy is up to date
Item.rebuildHierarchy(database=basequery.db)
# Execute a query to get the backlog at the start of the horizon
startbacklogdict = {}
query = '''
select name, sum(qty) from
(
select parent.name, sum(demand.quantity) qty from (%s) item
inner join item parent on item.lft between parent.lft and parent.rght
inner join demand on demand.item_id = item.name and demand.status in ('open','quote') and due < %%s
group by parent.name
union all
select parent.name, sum(operationplanmaterial.quantity) qty
from operationplanmaterial
inner join operationplan on operationplan.reference = operationplanmaterial.operationplan_id
and operationplan.type = 'DLVR'
and operationplan.enddate < %%s
inner join (%s) item on operationplanmaterial.item_id = item.name
inner join item parent on item.lft between parent.lft and parent.rght
group by parent.name
) t
group by name
''' % (basesql, basesql)
with connections[request.database].chunked_cursor() as cursor_chunked:
cursor_chunked.execute(
query, baseparams +
(request.report_startdate, request.report_startdate) +
baseparams)
for row in cursor_chunked:
if row[0]:
startbacklogdict[row[0]] = float(row[1])
# Execute the query
query = '''
select
parent.name, parent.description, parent.category, parent.subcategory,
parent.owner_id, parent.cost, parent.source, parent.lastmodified,
%s
d.bucket,
d.startdate,
d.enddate,
sum(coalesce((select sum(quantity) from demand
where demand.item_id = child.name and status in ('open','quote') and due >= greatest(%%s,d.startdate) and due < d.enddate),0)) orders,
sum(coalesce((select sum(-operationplanmaterial.quantity) from operationplanmaterial
inner join operationplan on operationplan.reference = operationplanmaterial.operationplan_id and operationplan.type = 'DLVR'
where operationplanmaterial.item_id = child.name
and operationplanmaterial.flowdate >= greatest(%%s,d.startdate)
and operationplanmaterial.flowdate < d.enddate),0)) planned
from (%s) parent
inner join item child on child.lft between parent.lft and parent.rght
cross join (
select name as bucket, startdate, enddate
from common_bucketdetail
where bucket_id = %%s and enddate > %%s and startdate < %%s
) d
group by
parent.name, parent.description, parent.category, parent.subcategory,
parent.owner_id, parent.cost, parent.source, parent.lastmodified,
%s
d.bucket, d.startdate, d.enddate
order by %s, d.startdate
''' % (reportclass.attr_sql, basesql, reportclass.attr_sql, sortsql)
# Build the python result
with connections[request.database].chunked_cursor() as cursor_chunked:
cursor_chunked.execute(
query,
(request.report_startdate, request.report_startdate)
+ # orders planned
baseparams + (request.report_bucket, request.report_startdate,
request.report_enddate) # buckets
)
previtem = None
for row in cursor_chunked:
numfields = len(row)
if row[0] != previtem:
backlog = startbacklogdict.get(row[0], 0)
previtem = row[0]
backlog += float(row[numfields - 2]) - float(
row[numfields - 1])
res = {
'item': row[0],
'description': row[1],
'category': row[2],
'subcategory': row[3],
'owner': row[4],
'cost': row[5],
'source': row[6],
'lastmodified': row[7],
'bucket': row[numfields - 5],
'startdate': row[numfields - 4].date(),
'enddate': row[numfields - 3].date(),
'demand': row[numfields - 2],
'supply': row[numfields - 1],
'backlog': backlog,
}
idx = 8
for f in getAttributeFields(Item):
res[f.field_name] = row[idx]
idx += 1
yield res
def query(reportclass, request, basequery, sortsql='1 asc'):
basesql, baseparams = basequery.query.get_compiler(basequery.db).as_sql(with_col_aliases=False)
# Get the time units
units = OverviewReport.getUnits(request)
# Assure the item hierarchy is up to date
Resource.rebuildHierarchy(database=basequery.db)
# Execute the query
query = '''
select res.name, res.description, res.category, res.subcategory,
res.type, res.maximum, res.maximum_calendar_id, res.cost, res.maxearly,
res.setupmatrix_id, res.setup, location.name, location.description,
location.category, location.subcategory, location.available_id,
res.avgutil, res.available_id available_calendar, res.owner_id,
%s
d.bucket as col1, d.startdate as col2,
coalesce(sum(out_resourceplan.available),0) / (case when res.type = 'buckets' then 1 else %f end) as available,
coalesce(sum(out_resourceplan.unavailable),0) / (case when res.type = 'buckets' then 1 else %f end) as unavailable,
coalesce(sum(out_resourceplan.load),0) / (case when res.type = 'buckets' then 1 else %f end) as loading,
coalesce(sum(out_resourceplan.setup),0) / (case when res.type = 'buckets' then 1 else %f end) as setup
from (%s) res
left outer join location
on res.location_id = location.name
-- Multiply with buckets
cross join (
select name as bucket, startdate, enddate
from common_bucketdetail
where bucket_id = '%s' and enddate > '%s' and startdate < '%s'
) d
-- Utilization info
left join out_resourceplan
on res.name = out_resourceplan.resource
and d.startdate <= out_resourceplan.startdate
and d.enddate > out_resourceplan.startdate
and out_resourceplan.startdate >= '%s'
and out_resourceplan.startdate < '%s'
-- Grouping and sorting
group by res.name, res.description, res.category, res.subcategory,
res.type, res.maximum, res.maximum_calendar_id, res.available_id, res.cost, res.maxearly,
res.setupmatrix_id, res.setup, location.name, location.description,
location.category, location.subcategory, location.available_id, res.avgutil, res.owner_id,
%s d.bucket, d.startdate
order by %s, d.startdate
''' % (
reportclass.attr_sql, units[0], units[0], units[0], units[0],
basesql, request.report_bucket, request.report_startdate,
request.report_enddate,
request.report_startdate, request.report_enddate,
reportclass.attr_sql, sortsql
)
# Build the python result
with connections[request.database].chunked_cursor() as cursor_chunked:
cursor_chunked.execute(query, baseparams)
for row in cursor_chunked:
numfields = len(row)
if row[numfields - 4] != 0:
util = round(row[numfields - 2] * 100 / row[numfields - 4], 2)
else:
util = 0
result = {
'resource': row[0], 'description': row[1], 'category': row[2],
'subcategory': row[3], 'type': row[4], 'maximum': row[5],
'maximum_calendar': row[6], 'cost': row[7], 'maxearly': row[8],
'setupmatrix': row[9], 'setup': row[10],
'location__name': row[11], 'location__description': row[12],
'location__category': row[13], 'location__subcategory': row[14],
'location__available': row[15],
'avgutil': round(row[16], 2),
'available_calendar': row[17],
'owner': row[18],
'bucket': row[numfields - 6],
'startdate': row[numfields - 5].date(),
'available': row[numfields - 4],
'unavailable': row[numfields - 3],
'load': row[numfields - 2],
'setup': row[numfields - 1],
'utilization': util
}
idx = 19
for f in getAttributeFields(Resource):
result[f.field_name] = row[idx]
idx += 1
for f in getAttributeFields(Location):
result[f.field_name] = row[idx]
idx += 1
yield result
def query(reportclass, request, basequery, sortsql='1 asc'):
basesql, baseparams = basequery.query.get_compiler(
basequery.db).as_sql(with_col_aliases=False)
# Assure the item hierarchy is up to date
Item.rebuildHierarchy(database=basequery.db)
# Execute a query to get the backlog at the start of the horizon
startbacklogdict = {}
query = '''
select items.name, coalesce(req.qty, 0) - coalesce(pln.qty, 0)
from (%s) items
left outer join (
select parent.name, sum(quantity) qty
from demand
inner join item on demand.item_id = item.name
inner join item parent on item.lft between parent.lft and parent.rght
where status in ('open', 'quote')
and due < %%s
group by parent.name
) req
on req.name = items.name
left outer join (
select parent.name, sum(operationplan.quantity) qty
from operationplan
inner join demand on operationplan.demand_id = demand.name
and operationplan.owner_id is null
and operationplan.enddate < %%s
inner join item on demand.item_id = item.name
inner join item parent on item.lft between parent.lft and parent.rght
group by parent.name
) pln
on pln.name = items.name
''' % basesql
with connections[request.database].chunked_cursor() as cursor_chunked:
cursor_chunked.execute(
query, baseparams +
(request.report_startdate, request.report_startdate))
for row in cursor_chunked:
if row[0]:
startbacklogdict[row[0]] = float(row[1])
# Execute the query
query = '''
select y.name, %s
y.bucket, y.startdate, y.enddate,
min(y.orders),
min(y.planned)
from (
select x.name as name, x.lft as lft, x.rght as rght,
x.bucket as bucket, x.startdate as startdate, x.enddate as enddate,
coalesce(sum(demand.quantity),0) as orders,
min(x.planned) as planned
from (
select items.name as name, items.lft as lft, items.rght as rght,
d.bucket as bucket, d.startdate as startdate, d.enddate as enddate,
coalesce(sum(operationplan.quantity),0) as planned
from (%s) items
-- Multiply with buckets
cross join (
select name as bucket, startdate, enddate
from common_bucketdetail
where bucket_id = %%s and enddate > %%s and startdate < %%s
) d
-- Include hierarchical children
inner join item
on item.lft between items.lft and items.rght
-- Planned quantity
left outer join operationplan
on operationplan.type = 'DLVR'
and operationplan.item_id = item.name
and d.startdate <= operationplan.enddate
and d.enddate > operationplan.enddate
and operationplan.enddate >= %%s
and operationplan.enddate < %%s
-- Grouping
group by items.name, items.lft, items.rght, d.bucket, d.startdate, d.enddate
) x
-- Requested quantity
inner join item
on item.lft between x.lft and x.rght
left join demand
on item.name = demand.item_id
and x.startdate <= demand.due
and x.enddate > demand.due
and demand.due >= %%s
and demand.due < %%s
and demand.status in ('open', 'quote')
-- Grouping
group by x.name, x.lft, x.rght, x.bucket, x.startdate, x.enddate
) y
-- Ordering and grouping
group by %s y.name, y.lft, y.rght, y.bucket, y.startdate, y.enddate
order by %s, y.startdate
''' % (reportclass.attr_sql, basesql, reportclass.attr_sql, sortsql)
# Build the python result
with connections[request.database].chunked_cursor() as cursor_chunked:
cursor_chunked.execute(
query,
baseparams + (request.report_bucket, request.report_startdate,
request.report_enddate, request.report_startdate,
request.report_enddate, request.report_startdate,
request.report_enddate))
previtem = None
for row in cursor_chunked:
numfields = len(row)
if row[0] != previtem:
backlog = startbacklogdict.get(row[0], 0)
previtem = row[0]
backlog += float(row[numfields - 2]) - float(
row[numfields - 1])
res = {
'item': row[0],
'bucket': row[numfields - 5],
'startdate': row[numfields - 4].date(),
'enddate': row[numfields - 3].date(),
'demand': round(row[numfields - 2], 1),
'supply': round(row[numfields - 1], 1),
'backlog': round(backlog, 1),
}
idx = 1
for f in getAttributeFields(Item):
res[f.field_name] = row[idx]
idx += 1
yield res
def query(reportclass, request, basequery, sortsql="1 asc"):
basesql, baseparams = basequery.query.get_compiler(
basequery.db).as_sql(with_col_aliases=False)
# Execute the actual query
query = """
select
opplanmat.buffer,
item.name item_id,
location.name location_id,
item.description,
item.type,
item.category,
item.subcategory,
item.cost,
item.owner_id,
item.source,
item.lastmodified,
location.description,
location.category,
location.subcategory,
location.available_id,
location.owner_id,
location.source,
location.lastmodified,
opplanmat.opplan_batch,
%s
(select jsonb_build_object(
'onhand', onhand,
'flowdate', to_char(flowdate,'YYYY-MM-DD HH24:MI:SS'),
'periodofcover', periodofcover
)
from operationplanmaterial
inner join operationplan
on operationplanmaterial.operationplan_id = operationplan.reference
where operationplanmaterial.item_id = item.name
and operationplanmaterial.location_id = location.name
and (item.type is distinct from 'make to order' or operationplan.batch is not distinct from opplanmat.opplan_batch)
and flowdate < greatest(d.startdate,%%s)
order by flowdate desc, id desc limit 1) startoh,
d.bucket,
d.startdate,
d.enddate,
(select safetystock from
(
select 1 as priority, coalesce(
(select value from calendarbucket
where calendar_id = 'SS for ' || opplanmat.buffer
and greatest(d.startdate,%%s) >= startdate and greatest(d.startdate,%%s) < enddate
order by priority limit 1),
(select defaultvalue from calendar where name = 'SS for ' || opplanmat.buffer)
) as safetystock
union all
select 2 as priority, coalesce(
(select value
from calendarbucket
where calendar_id = (
select minimum_calendar_id
from buffer
where item_id = item.name
and location_id = location.name
and (item.type is distinct from 'make to order' or buffer.batch is not distinct from opplanmat.opplan_batch)
)
and greatest(d.startdate,%%s) >= startdate
and greatest(d.startdate,%%s) < enddate
order by priority limit 1),
(select defaultvalue
from calendar
where name = (
select minimum_calendar_id
from buffer
where item_id = item.name
and location_id = location.name
and (item.type is distinct from 'make to order' or buffer.batch is not distinct from opplanmat.opplan_batch)
)
)
) as safetystock
union all
select 3 as priority, minimum as safetystock
from buffer
where item_id = item.name
and location_id = location.name
and (item.type is distinct from 'make to order' or buffer.batch is not distinct from opplanmat.opplan_batch)
) t
where t.safetystock is not null
order by priority
limit 1) safetystock,
(select jsonb_build_object(
'work_in_progress_mo', sum(case when (startdate < d.enddate and enddate >= d.enddate) and opm.quantity > 0 and operationplan.type = 'MO' then opm.quantity else 0 end),
'on_order_po', sum(case when (startdate < d.enddate and enddate >= d.enddate) and opm.quantity > 0 and operationplan.type = 'PO' then opm.quantity else 0 end),
'in_transit_do', sum(case when (startdate < d.enddate and enddate >= d.enddate) and opm.quantity > 0 and operationplan.type = 'DO' then opm.quantity else 0 end),
'total_in_progress', sum(case when (startdate < d.enddate and enddate >= d.enddate) and opm.quantity > 0 then opm.quantity else 0 end),
'consumed', sum(case when (opm.flowdate >= greatest(d.startdate,%%s) and opm.flowdate < d.enddate) and opm.quantity < 0 then -opm.quantity else 0 end),
'consumedMO', sum(case when operationplan.type = 'MO' and (opm.flowdate >= greatest(d.startdate,%%s) and opm.flowdate < d.enddate) and opm.quantity < 0 then -opm.quantity else 0 end),
'consumedDO', sum(case when operationplan.type = 'DO' and (opm.flowdate >= greatest(d.startdate,%%s) and opm.flowdate < d.enddate) and opm.quantity < 0 then -opm.quantity else 0 end),
'consumedSO', sum(case when operationplan.type = 'DLVR' and (opm.flowdate >= greatest(d.startdate,%%s) and opm.flowdate < d.enddate) and opm.quantity < 0 then -opm.quantity else 0 end),
'produced', sum(case when (opm.flowdate >= greatest(d.startdate,%%s) and opm.flowdate < d.enddate) and opm.quantity > 0 then opm.quantity else 0 end),
'producedMO', sum(case when operationplan.type = 'MO' and (opm.flowdate >= greatest(d.startdate,%%s) and opm.flowdate < d.enddate) and opm.quantity > 0 then opm.quantity else 0 end),
'producedDO', sum(case when operationplan.type = 'DO' and (opm.flowdate >= greatest(d.startdate,%%s) and opm.flowdate < d.enddate) and opm.quantity > 0 then opm.quantity else 0 end),
'producedPO', sum(case when operationplan.type = 'PO' and (opm.flowdate >= greatest(d.startdate,%%s) and opm.flowdate < d.enddate) and opm.quantity > 0 then opm.quantity else 0 end)
)
from operationplanmaterial opm
inner join operationplan
on operationplan.reference = opm.operationplan_id
and ((startdate < d.enddate and enddate >= d.enddate)
or (opm.flowdate >= greatest(d.startdate,%%s) and opm.flowdate < d.enddate))
where opm.item_id = item.name
and opm.location_id = location.name
and (item.type is distinct from 'make to order' or operationplan.batch is not distinct from opplanmat.opplan_batch)
) ongoing
from
(%s) opplanmat
inner join item on item.name = opplanmat.item_id
inner join location on location.name = opplanmat.location_id
-- Multiply with buckets
cross join (
select name as bucket, startdate, enddate
from common_bucketdetail
where bucket_id = %%s and enddate > %%s and startdate < %%s
) d
group by
opplanmat.buffer,
item.name,
location.name,
item.description,
item.type,
item.category,
item.subcategory,
item.cost,
item.owner_id,
item.source,
item.lastmodified,
location.description,
location.category,
location.subcategory,
location.available_id,
location.owner_id,
location.source,
location.lastmodified,
opplanmat.opplan_batch,
d.bucket,
d.startdate,
d.enddate
order by %s, d.startdate
""" % (
reportclass.attr_sql,
basesql,
sortsql,
)
# Build the python result
with connections[request.database].chunked_cursor() as cursor_chunked:
cursor_chunked.execute(
query,
(
request.report_startdate, # startoh
request.report_startdate,
request.report_startdate,
request.report_startdate,
request.report_startdate, # safetystock
) + (request.report_startdate, ) * 9 + baseparams # ongoing
+ ( # opplanmat
request.report_bucket,
request.report_startdate,
request.report_enddate,
), # bucket d
)
for row in cursor_chunked:
numfields = len(row)
res = {
"buffer":
row[0],
"item":
row[1],
"location":
row[2],
"item__description":
row[3],
"item__type":
row[4],
"item__category":
row[5],
"item__subcategory":
row[6],
"item__cost":
row[7],
"item__owner":
row[8],
"item__source":
row[9],
"item__lastmodified":
row[10],
"location__description":
row[11],
"location__category":
row[12],
"location__subcategory":
row[13],
"location__available_id":
row[14],
"location__owner_id":
row[15],
"location__source":
row[16],
"location__lastmodified":
row[17],
"batch":
row[18],
"startoh":
row[numfields - 6]["onhand"] if row[numfields - 6] else 0,
"startohdoc":
max(
0,
0 if
(row[numfields - 6]["onhand"] if row[numfields -
6] else 0) <= 0
else
(999 if row[numfields -
6]["periodofcover"] == 86313600 else
(datetime.strptime(row[numfields - 6]["flowdate"],
"%Y-%m-%d %H:%M:%S") +
timedelta(seconds=row[numfields -
6]["periodofcover"]) -
row[numfields -
4]).days if row[numfields -
6]["periodofcover"] else 999),
),
"bucket":
row[numfields - 5],
"startdate":
row[numfields - 4],
"enddate":
row[numfields - 3],
"safetystock":
row[numfields - 2] or 0,
"consumed":
row[numfields - 1]["consumed"] or 0,
"consumedMO":
row[numfields - 1]["consumedMO"] or 0,
"consumedDO":
row[numfields - 1]["consumedDO"] or 0,
"consumedSO":
row[numfields - 1]["consumedSO"] or 0,
"produced":
row[numfields - 1]["produced"] or 0,
"producedMO":
row[numfields - 1]["producedMO"] or 0,
"producedDO":
row[numfields - 1]["producedDO"] or 0,
"producedPO":
row[numfields - 1]["producedPO"] or 0,
"total_in_progress":
row[numfields - 1]["total_in_progress"] or 0,
"work_in_progress_mo":
row[numfields - 1]["work_in_progress_mo"] or 0,
"on_order_po":
row[numfields - 1]["on_order_po"] or 0,
"in_transit_do":
row[numfields - 1]["in_transit_do"] or 0,
"endoh":
float(row[numfields - 6]["onhand"] if row[numfields -
6] else 0) +
float(row[numfields - 1]["produced"] or 0) -
float(row[numfields - 1]["consumed"] or 0),
}
# Add attribute fields
idx = 17
for f in getAttributeFields(Item, related_name_prefix="item"):
res[f.field_name] = row[idx]
idx += 1
for f in getAttributeFields(Location,
related_name_prefix="location"):
res[f.field_name] = row[idx]
idx += 1
yield res
def query(reportclass, request, basequery, sortsql="1 asc"):
basesql, baseparams = basequery.query.get_compiler(basequery.db).as_sql(
with_col_aliases=False
)
# Build the query
query = """
select
operation.name, location.name, operation.item_id, operation.description,
operation.category, operation.subcategory, operation.type, operation.duration,
operation.duration_per, operation.fence, operation.posttime, operation.sizeminimum,
operation.sizemultiple, operation.sizemaximum, operation.priority, operation.effective_start,
operation.effective_end, operation.cost, operation.search, operation.source, operation.lastmodified,
location.description, location.category, location.subcategory, location.available_id,
location.lastmodified, item.description, item.category, item.subcategory, item.cost,
item.volume, item.weight, item.periodofcover, item.owner_id, item.source, item.lastmodified,
%s
res.bucket, res.startdate, res.enddate,
res.proposed_start, res.total_start, res.proposed_end, res.total_end, res.proposed_production, res.total_production
from operation
left outer join item
on operation.item_id = item.name
left outer join location
on operation.location_id = location.name
inner join (
select oper.name as operation_id, d.bucket, d.startdate, d.enddate,
coalesce(sum(
case when operationplan.status = 'proposed'
and d.startdate <= operationplan.startdate and d.enddate > operationplan.startdate
then operationplan.quantity
else 0 end
), 0) proposed_start,
coalesce(sum(
case when d.startdate <= operationplan.startdate and d.enddate > operationplan.startdate
then operationplan.quantity else 0 end
), 0) total_start,
coalesce(sum(
case when operationplan.status = 'proposed'
and d.startdate < operationplan.enddate and d.enddate >= operationplan.enddate
then operationplan.quantity else 0 end
), 0) proposed_end,
coalesce(sum(
case when d.startdate < operationplan.enddate and d.enddate >= operationplan.enddate
then operationplan.quantity else 0 end
), 0) total_end,
coalesce(sum(
case when operationplan.status = 'proposed' then
(
-- Total overlap
extract (epoch from least(operationplan.enddate, d.enddate) - greatest(operationplan.startdate, d.startdate))
-- Minus the interruptions
- coalesce((
select sum(greatest(0, extract (epoch from
least(to_timestamp(value->>1, 'YYYY-MM-DD HH24:MI:SS'), d.enddate)
- greatest(to_timestamp(value->>0, 'YYYY-MM-DD HH24:MI:SS'), d.startdate)
)))
from ( select * from jsonb_array_elements(plan->'interruptions')) breaks
), 0)
)
/ greatest(1, extract(epoch from operationplan.enddate - operationplan.startdate) - coalesce((plan#>>'{unavailable}')::numeric, 0))
* operationplan.quantity
else 0 end
), 0) proposed_production,
coalesce(sum(
(
-- Total overlap
extract (epoch from least(operationplan.enddate, d.enddate) - greatest(operationplan.startdate, d.startdate))
-- Minus the interruptions
- coalesce((
select sum(greatest(0, extract (epoch from
least(to_timestamp(value->>1, 'YYYY-MM-DD HH24:MI:SS'), d.enddate)
- greatest(to_timestamp(value->>0, 'YYYY-MM-DD HH24:MI:SS'), d.startdate)
)))
from ( select * from jsonb_array_elements(plan->'interruptions')) breaks
), 0)
)
/ greatest(1, extract(epoch from operationplan.enddate - operationplan.startdate) - coalesce((plan#>>'{unavailable}')::numeric, 0))
* operationplan.quantity
), 0) total_production
from (%s) oper
-- Multiply with buckets
cross join (
select name as bucket, startdate, enddate
from common_bucketdetail
where bucket_id = '%s' and enddate > '%s' and startdate < '%s'
) d
-- Match overlapping operationplans
left outer join operationplan
on operationplan.operation_id = oper.name
and (operationplan.startdate, operationplan.enddate) overlaps (d.startdate, d.enddate)
group by oper.name, d.bucket, d.startdate, d.enddate
) res
on res.operation_id = operation.name
order by %s, res.startdate
""" % (
reportclass.attr_sql,
basesql,
request.report_bucket,
request.report_startdate,
request.report_enddate,
sortsql,
)
# Convert the SQl results to Python
with transaction.atomic(using=request.database):
with connections[request.database].chunked_cursor() as cursor_chunked:
cursor_chunked.execute(query, baseparams)
for row in cursor_chunked:
numfields = len(row)
result = {
"operation": row[0],
"location": row[1],
"item": row[2],
"description": row[3],
"category": row[4],
"subcategory": row[5],
"type": row[6],
"duration": row[7],
"duration_per": row[8],
"fence": row[9],
"posttime": row[10],
"sizeminimum": row[11],
"sizemultiple": row[12],
"sizemaximum": row[13],
"priority": row[14],
"effective_start": row[15],
"effective_end": row[16],
"cost": row[17],
"search": row[18],
"source": row[19],
"lastmodified": row[20],
"location__description": row[21],
"location__category": row[22],
"location__subcategory": row[23],
"location__available": row[24],
"location__lastmodified": row[25],
"item__description": row[26],
"item__category": row[27],
"item__subcategory": row[28],
"item__cost": row[29],
"item__volume": row[30],
"item__weight": row[31],
"item__periodofcover": row[32],
"item__owner": row[33],
"item__source": row[34],
"item__lastmodified": row[35],
"bucket": row[numfields - 9],
"startdate": row[numfields - 8].date(),
"enddate": row[numfields - 7].date(),
"proposed_start": row[numfields - 6],
"total_start": row[numfields - 5],
"proposed_end": row[numfields - 4],
"total_end": row[numfields - 3],
"production_proposed": row[numfields - 2],
"production_total": row[numfields - 1],
}
idx = 36
for f in getAttributeFields(Operation):
result["operation__%s" % f.field_name] = row[idx]
idx += 1
for f in getAttributeFields(Item):
result["item__%s" % f.field_name] = row[idx]
idx += 1
for f in getAttributeFields(Location):
result["location__%s" % f.field_name] = row[idx]
idx += 1
yield result
