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stock_valuation_xlsx: add stock.variation.xlsx report (Up-port from v10)

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Up-port from v10 other fixes and improvements up to 2021-02-26
This commit is contained in:
Alexis de Lattre
2021-02-26 11:09:51 +01:00
parent 09b73d1994
commit 872801fd29
6 changed files with 553 additions and 14 deletions
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44
stock_valuation_xlsx/wizard/stock_valuation_xlsx.py
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@@ -18,7 +18,7 @@ class StockValuationXlsx(models.TransientModel):
_name = 'stock.valuation.xlsx'
_description = 'Generate XLSX report for stock valuation'
export_file = fields.Binary(string='XLSX Report', readonly=True)
export_file = fields.Binary(string='XLSX Report', readonly=True, attachment=True)
export_filename = fields.Char(readonly=True)
# I don't use ir.actions.url on v12, because it renders
# the wizard unusable after the first report generation, which creates
@@ -38,8 +38,10 @@ class StockValuationXlsx(models.TransientModel):
help="The childen locations of the selected locations will "
u"be taken in the valuation.")
categ_ids = fields.Many2many(
'product.category', string='Product Categories',
states={'done': [('readonly', True)]})
'product.category', string='Product Category Filter',
help="Leave this field empty to have a stock valuation for all your products.",
states={'done': [('readonly', True)]},
)
source = fields.Selection([
('inventory', 'Physical Inventory'),
('stock', 'Stock Levels'),
@@ -59,7 +61,7 @@ class StockValuationXlsx(models.TransientModel):
categ_subtotal = fields.Boolean(
string='Subtotals per Categories', default=True,
states={'done': [('readonly', True)]},
help="Show a subtotal per product category")
help="Show a subtotal per product category.")
standard_price_date = fields.Selection([
('past', 'Past Date or Inventory Date'),
('present', 'Current'),
@@ -156,22 +158,29 @@ class StockValuationXlsx(models.TransientModel):
logger.debug('End compute_product_data')
return product_id2data
def id2name(self, product_ids):
logger.debug('Start id2name')
@api.model
def product_categ_id2name(self, categories):
pco = self.env['product.category']
splo = self.env['stock.production.lot']
slo = self.env['stock.location'].with_context(active_test=False)
puo = self.env['uom.uom'].with_context(active_test=False)
categ_id2name = {}
categ_domain = []
if self.categ_ids:
categ_domain = [('id', 'child_of', self.categ_ids.ids)]
if categories:
categ_domain = [('id', 'child_of', categories.ids)]
for categ in pco.search_read(categ_domain, ['display_name']):
categ_id2name[categ['id']] = categ['display_name']
return categ_id2name
@api.model
def uom_id2name(self):
puo = self.env['uom.uom'].with_context(active_test=False)
uom_id2name = {}
uoms = puo.search_read([], ['name'])
for uom in uoms:
uom_id2name[uom['id']] = uom['name']
return uom_id2name
@api.model
def prodlot_id2name(self, product_ids):
splo = self.env['stock.production.lot']
lot_id2data = {}
lot_fields = ['name']
if hasattr(splo, 'expiry_date'):
@@ -181,13 +190,17 @@ class StockValuationXlsx(models.TransientModel):
[('product_id', 'in', product_ids)], lot_fields)
for lot in lots:
lot_id2data[lot['id']] = lot
return lot_id2data
@api.model
def stock_location_id2name(self, location):
slo = self.env['stock.location'].with_context(active_test=False)
loc_id2name = {}
locs = slo.search_read(
[('id', 'child_of', self.location_id.id)], ['display_name'])
for loc in locs:
loc_id2name[loc['id']] = loc['display_name']
logger.debug('End id2name')
return categ_id2name, uom_id2name, lot_id2data, loc_id2name
return loc_id2name
def compute_data_from_inventory(self, product_ids, prec_qty):
self.ensure_one()
@@ -340,7 +353,10 @@ class StockValuationXlsx(models.TransientModel):
company_id, in_stock_product_ids,
standard_price_past_date=standard_price_past_date)
data_res = self.group_result(data, split_by_lot, split_by_location)
categ_id2name, uom_id2name, lot_id2data, loc_id2name = self.id2name(product_ids)
categ_id2name = self.product_categ_id2name(self.categ_ids)
uom_id2name = self.uom_id2name()
lot_id2data = self.prodlot_id2name(in_stock_product_ids)
loc_id2name = self.stock_location_id2name(self.location_id)
res = self.stringify_and_sort_result(
product_ids, product_id2data, data_res, prec_qty, prec_price, prec_cur_rounding,
categ_id2name, uom_id2name, lot_id2data, loc_id2name)