import os
import time
-import openerp.netsvc as netsvc
+import openerp
import openerp.tools as tools
from openerp.tools.safe_eval import safe_eval as eval
import print_xml
from openerp.osv.osv import except_osv
from openerp.osv.orm import browse_null
from openerp.osv.orm import browse_record_list
-import openerp.pooler as pooler
from pychart import *
import misc
import cStringIO
#
def _row_get(self, cr, uid, objs, fields, conditions, row_canvas=None, group_by=None):
result = []
- tmp = []
for obj in objs:
tobreak = False
for cond in conditions:
else:
# Process group_by data first
key = []
- if group_by != None and fields[group_by] != None:
+ if group_by is not None and fields[group_by] is not None:
if fields[group_by][0] in levels.keys():
key.append(fields[group_by][0])
for l in levels.keys():
def create(self, cr, uid, ids, datas, context=None):
if not context:
context={}
- self.pool = pooler.get_pool(cr.dbname)
- report = self.pool.get('ir.report.custom').browse(cr, uid, [datas['report_id']])[0]
+ self.pool = openerp.registry(cr.dbname)
+ report = self.pool['ir.report.custom'].browse(cr, uid, [datas['report_id']])[0]
datas['model'] = report.model_id.model
if report.menu_id:
- ids = self.pool.get(report.model_id.model).search(cr, uid, [])
+ ids = self.pool[report.model_id.model].search(cr, uid, [])
datas['ids'] = ids
report_id = datas['report_id']
- report = self.pool.get('ir.report.custom').read(cr, uid, [report_id], context=context)[0]
- fields = self.pool.get('ir.report.custom.fields').read(cr, uid, report['fields_child0'], context=context)
+ report = self.pool['ir.report.custom'].read(cr, uid, [report_id], context=context)[0]
+ fields = self.pool['ir.report.custom.fields'].read(cr, uid, report['fields_child0'], context=context)
fields.sort(lambda x,y : x['sequence'] - y['sequence'])
if report['field_parent']:
- parent_field = self.pool.get('ir.model.fields').read(cr, uid, [report['field_parent'][0]], ['model'])
- model_name = self.pool.get('ir.model').read(cr, uid, [report['model_id'][0]], ['model'], context=context)[0]['model']
+ parent_field = self.pool['ir.model.fields'].read(cr, uid, [report['field_parent'][0]], ['model'])
+ model_name = self.pool['ir.model'].read(cr, uid, [report['model_id'][0]], ['model'], context=context)[0]['model']
- fct = {}
- fct['id'] = lambda x : x
- fct['gety'] = lambda x: x.split('-')[0]
- fct['in'] = lambda x: x.split(',')
+ fct = {
+ 'id': lambda x: x,
+ 'gety': lambda x: x.split('-')[0],
+ 'in': lambda x: x.split(',')
+ }
new_fields = []
new_cond = []
for f in fields:
field_child = f['field_child'+str(i)]
if field_child:
row.append(
- self.pool.get('ir.model.fields').read(cr, uid, [field_child[0]], ['name'], context=context)[0]['name']
+ self.pool['ir.model.fields'].read(cr, uid, [field_child[0]], ['name'], context=context)[0]['name']
)
if f['fc'+str(i)+'_operande']:
fct_name = 'id'
cond.append(None)
new_fields.append(row)
new_cond.append(cond)
- objs = self.pool.get(model_name).browse(cr, uid, ids)
+ objs = self.pool[model_name].browse(cr, uid, ids)
# Group by
groupby = None
new_res = []
prev = None
- if groupby != None:
+ if groupby is not None:
res_dic = {}
for line in results:
if not line[groupby] and prev in res_dic:
res_dic[prev].append(line)
else:
prev = line[groupby]
- if line[groupby] in res_dic:
- res_dic[line[groupby]].append(line)
- else:
- res_dic[line[groupby]] = []
- res_dic[line[groupby]].append(line)
+ res_dic.setdefault(line[groupby], [])
+ res_dic[line[groupby]].append(line)
+
#we use the keys in results since they are ordered, whereas in res_dic.heys() they aren't
for key in filter(None, [x[groupby] for x in results]):
row = []
res = self._create_bars(cr,uid, ids, report, fields, results2, context)
elif report['type']=='line':
res = self._create_lines(cr,uid, ids, report, fields, results2, context)
- return (self.obj.get(), 'pdf')
+ return self.obj.get(), 'pdf'
def _create_tree(self, uid, ids, report, fields, level, results, context):
pageSize=common.pageSize.get(report['print_format'], [210.0,297.0])
col.attrib.update(para='yes',
tree='yes',
space=str(3*shift)+'mm')
- if line[f] != None:
+ if line[f] is not None:
col.text = prefix+str(line[f]) or ''
else:
col.text = '/'
def _create_lines(self, cr, uid, ids, report, fields, results, context):
- pool = pooler.get_pool(cr.dbname)
+ pool = openerp.registry(cr.dbname)
pdf_string = cStringIO.StringIO()
can = canvas.init(fname=pdf_string, format='pdf')
x_axis = axis.X(label = fields[0]['name'], format="/a-30{}%s"),
y_axis = axis.Y(label = ', '.join(map(lambda x : x['name'], fields[1:]))))
- process_date = {}
- process_date['D'] = lambda x : reduce(lambda xx,yy : xx+'-'+yy,x.split('-')[1:3])
- process_date['M'] = lambda x : x.split('-')[1]
- process_date['Y'] = lambda x : x.split('-')[0]
+ process_date = {
+ 'D': lambda x: reduce(lambda xx, yy: xx + '-' + yy, x.split('-')[1:3]),
+ 'M': lambda x: x.split('-')[1],
+ 'Y': lambda x: x.split('-')[0]
+ }
- order_date = {}
- order_date['D'] = lambda x : time.mktime((2005,int(x.split('-')[0]), int(x.split('-')[1]),0,0,0,0,0,0))
- order_date['M'] = lambda x : x
- order_date['Y'] = lambda x : x
+ order_date = {
+ 'D': lambda x: time.mktime((2005, int(x.split('-')[0]), int(x.split('-')[1]), 0, 0, 0, 0, 0, 0)),
+ 'M': lambda x: x,
+ 'Y': lambda x: x
+ }
abscissa = []
- tmp = {}
idx = 0
date_idx = None
for f in fields:
field_id = (f['field_child3'] and f['field_child3'][0]) or (f['field_child2'] and f['field_child2'][0]) or (f['field_child1'] and f['field_child1'][0]) or (f['field_child0'] and f['field_child0'][0])
if field_id:
- type = pool.get('ir.model.fields').read(cr, uid, [field_id],['ttype'])
+ type = pool['ir.model.fields'].read(cr, uid, [field_id],['ttype'])
if type[0]['ttype'] == 'date':
date_idx = idx
fct[idx] = process_date[report['frequency']]
# plots are usually displayed year by year
# so we do so if the first field is a date
data_by_year = {}
- if date_idx != None:
+ if date_idx is not None:
for r in results:
key = process_date['Y'](r[date_idx])
if key not in data_by_year:
def _create_bars(self, cr, uid, ids, report, fields, results, context):
- pool = pooler.get_pool(cr.dbname)
+ pool = openerp.registry(cr.dbname)
pdf_string = cStringIO.StringIO()
can = canvas.init(fname=pdf_string, format='pdf')
can.show(80,380,'/16/H'+report['title'])
- process_date = {}
- process_date['D'] = lambda x : reduce(lambda xx,yy : xx+'-'+yy,x.split('-')[1:3])
- process_date['M'] = lambda x : x.split('-')[1]
- process_date['Y'] = lambda x : x.split('-')[0]
+ process_date = {
+ 'D': lambda x: reduce(lambda xx, yy: xx + '-' + yy, x.split('-')[1:3]),
+ 'M': lambda x: x.split('-')[1],
+ 'Y': lambda x: x.split('-')[0]
+ }
- order_date = {}
- order_date['D'] = lambda x : time.mktime((2005,int(x.split('-')[0]), int(x.split('-')[1]),0,0,0,0,0,0))
- order_date['M'] = lambda x : x
- order_date['Y'] = lambda x : x
+ order_date = {
+ 'D': lambda x: time.mktime((2005, int(x.split('-')[0]), int(x.split('-')[1]), 0, 0, 0, 0, 0, 0)),
+ 'M': lambda x: x,
+ 'Y': lambda x: x
+ }
ar = area.T(size=(350,350),
x_axis = axis.X(label = fields[0]['name'], format="/a-30{}%s"),
for f in fields:
field_id = (f['field_child3'] and f['field_child3'][0]) or (f['field_child2'] and f['field_child2'][0]) or (f['field_child1'] and f['field_child1'][0]) or (f['field_child0'] and f['field_child0'][0])
if field_id:
- type = pool.get('ir.model.fields').read(cr, uid, [field_id],['ttype'])
+ type = pool['ir.model.fields'].read(cr, uid, [field_id],['ttype'])
if type[0]['ttype'] == 'date':
date_idx = idx
fct[idx] = process_date[report['frequency']]
# plot are usually displayed year by year
# so we do so if the first field is a date
data_by_year = {}
- if date_idx != None:
+ if date_idx is not None:
for r in results:
key = process_date['Y'](r[date_idx])
if key not in data_by_year:
node_line = etree.SubElement(lines, 'row')
for f in range(len(fields)):
col = etree.SubElement(node_line, 'col', tree='no')
- if line[f] != None:
+ if line[f] is not None:
col.text = line[f] or ''
else:
col.text = '/'
projects / odoo / odoo.git / blobdiff