[REM] most of the fields-manipulation crapola of Import.detect_data, have headers be a simple list(str)

bzr revid: xmo@openerp.com-20110923085924-4gq1g660mcmb8bus
This commit is contained in:
Xavier Morel 2011-09-23 10:59:24 +02:00
parent baf367d0e1
commit 99cd8a01a3
2 changed files with 17 additions and 72 deletions

View File

@ -1421,80 +1421,24 @@ class Import(View):
@openerpweb.httprequest
def detect_data(self, req, model, csvfile, csvsep, csvdel, csvcode, csvskip,
file_has_headers, jsonp):
_fields = {}
_fields_invert = {}
error = None
fields = req.session.model(model).fields_get(False, req.session.eval_context(req.context))
fields.update({'id': {'string': 'ID'}, '.id': {'string': 'Database ID'}})
def model_populate(fields, prefix_node='', prefix=None, prefix_value='', level=2):
def str_comp(x,y):
if x<y: return 1
elif x>y: return -1
else: return 0
fields_order = fields.keys()
fields_order.sort(lambda x,y: str_comp(fields[x].get('string', ''), fields[y].get('string', '')))
for field in fields_order:
if (fields[field].get('type','') not in ('reference',))\
and (not fields[field].get('readonly')\
or not dict(fields[field].get('states', {}).get(
'draft', [('readonly', True)])).get('readonly',True)):
st_name = prefix_value+fields[field]['string'] or field
_fields[prefix_node+field] = st_name
_fields_invert[st_name] = prefix_node+field
if fields[field].get('type')=='one2many' and level>0:
fields2 = self.fields_get(req, fields[field]['relation'])
model_populate(fields2, prefix_node+field+'/', None, st_name+'/', level-1)
if fields[field].get('relation',False) and level>0:
model_populate({'/id': {'type': 'char', 'string': 'ID'}, '.id': {'type': 'char', 'string': 'Database ID'}},
prefix_node+field, None, st_name+'/', level-1)
fields.update({'id':{'string':'ID'},'.id':{'string':'Database ID'}})
model_populate(fields)
try:
data = csv.reader(csvfile, quotechar=str(csvdel), delimiter=str(csvsep))
except:
error={'message': 'error opening .CSV file. Input Error.'}
return '<script>window.top.%s(%s);</script>' % (
jsonp, simplejson.dumps({'error':error}))
records = []
count = 0
header_fields = []
word=''
try:
for rec in itertools.islice(data,0,4):
records.append(rec)
headers = itertools.islice(records,1)
line = headers.next()
for word in line:
word = str(word.decode(csvcode))
if word in _fields:
header_fields.append((word, _fields[word]))
elif word in _fields_invert.keys():
header_fields.append((_fields_invert[word], word))
else:
count = count + 1
header_fields.append((word, word))
if len(line) == count:
error = {'message':"File has not any column header."}
except:
error = {'message':('Error processing the first line of the file. Field "%s" is unknown') % (word,)}
if error:
data = list(csv.reader(
csvfile, quotechar=str(csvdel), delimiter=str(csvsep)))
except csv.Error, e:
csvfile.seek(0)
error=dict(error, preview=csvfile.read(200))
return '<script>window.top.%s(%s);</script>' % (
jsonp, simplejson.dumps({'error':error}))
jsonp, simplejson.dumps({'error': {
'message': 'Error parsing CSV file: %s' % e,
# decodes each byte to a unicode character, which may or
# may not be printable, but decoding will succeed.
# Otherwise simplejson will try to decode the `str` using
# utf-8, which is very likely to blow up on characters out
# of the ascii range (in range [128, 256))
'preview': csvfile.read(200).decode('iso-8859-1')}}))
records = data[:5]
header_fields = [word.decode(csvcode) for word in records[0]]
return '<script>window.top.%s(%s);</script>' % (
jsonp, simplejson.dumps({

View File

@ -1443,7 +1443,8 @@
</t>
<table t-if="records" class="oe_import_grid" width="100%" style="margin: 5px 0;">
<tr class="oe_import_grid-header">
<td t-foreach="records.header" t-as="header" class="oe_import_grid-cell"><t t-esc="header[0]"/></td>
<td t-foreach="records.header" t-as="header" class="oe_import_grid-cell">
<t t-esc="header"/></td>
</tr>
<tr>
<td t-foreach="records.header" t-as="header">