def add_linkdata_doc(docdef, baseform, data, append_key, append_data):
"""
Add data to form on top of request data.
Used for example data. If append_key points to a compound field,
will add new field element with example data.
If field is not compound field, append_data will replace it
(in dictionary.update(append_data) fashion).
"""
form = baseform(data)
append_form(form, append_key, append_data)
field_name = get_field_definition(docdef['fields'], append_key)['label']
append_msg = _('The chosen values were added under %s.') % field_name
return {"form" : form, "append" : append_data,
'append_msg' : append_msg, 'formdata' : data}
def autocomplete_doc(request, doctype, field):
"""
Autocomplete for basedocs that has query formulation parameters
in basedoc JSON
"""
term = request.GET.get("term")
if not term:
raise Http404
term = pyes.clean_string(term)
doc, baseform = get_base(doctype)
field_def = get_field_definition(doc['fields'], field)
if not field_def:
raise Http404
return autocomplete(request, field_def["linkdocument"],
field_def["query"], term)
def add_compoundfield_doc(docdef, baseform, data, append_key, eid):
"""
Add compound field to doc for given field's key as append_key.
This relies on form_tools and wtforms.
"""
form = baseform(data)
retval = append_form(form, append_key)
field_name = get_field_definition(docdef['fields'], append_key)['label']
if not retval:
append_msg = _("Field %s was not found.") % field_name
else:
append_msg = _("A new empty field was added to \"%s\".") % field_name
return {"form" : form, 'append_msg' : append_msg,
"append_key" : append_key, 'doc_id': eid, 'formdata' : data }
def remove_field_doc(docdef, baseform, data, remove_key):
"""
Removes given field from form.
Works by removing fields from request data before form is actually built.
Fields are encoded for HTTP key-value parameters, so
remove_key needs to have the doc's whole structure incorporated.
If removing field level3 from structure like level1: level2: level3
key needs to be like: level1-level2-level3.
Normally wtforms takes care of creating keys from deep structure.
"""
field_name = ''
msg = _('Failed to remove the field.')
match = re.match('(.*-)?([^-]*)-\d+', remove_key)
if match:
parent_field_key = match.group(2)
field_name = get_field_definition(
docdef['fields'], parent_field_key)['label']
success = False
valuename = 'ignore_'
for key in data.keys():
if key.startswith(remove_key + '-'):
if valuename == 'ignore_':
valuename = data[key]
del(data[key])
success = True
if valuename == 'ignore_':
valuename = None
if success:
msg = _('The field was removed')
if field_name and len(field_name) > 0:
msg += _(' from \"%s\".') % field_name
else:
msg += '.'
context = update_doc(docdef, baseform, data)
context['remove_msg'] = msg
return context
def htmltree_conversion(data, basedoc):
"""
Converts document to html ul tree using labels from basedoc for field names
"""
ndata = []
for key, value in data.items():
try:
field, lang = key.rsplit("_", 1)
except ValueError:
lang = None
field = key
fielddef = get_field_definition(basedoc["fields"], field)
if fielddef:
if lang and fielddef["type"] == "multilingualfield":
label = fielddef["label"] + ' (%s)' % lang
else:
label = fielddef["label"]
else:
label = None
if hasattr(value, "items"):
ndata.append('<li>%s: <ul class="field_%s">%s</ul></li>' %
(label or key, key, ''.join(
htmltree_conversion(value, basedoc))))
elif type(value) == type([]):
ul = []
for v in value:
if hasattr(v, "items"):
ul.append('<li><ul>%s</ul></li>' % (''.join(
htmltree_conversion(v, basedoc))))
else:
if value:
ul.append('<li>%s</li>' % value)
ndata.append('<li class="key_%s">%s: <ul>%s</ul></li>' %
(key, label or key, ''.join(ul)))
else:
if value:
ndata.append('<li>%s: %s</li>' % (label or key, value))
return '%s' % '\n'.join(ndata)
