def create_product_id(key, data, errors, context):
general_non_data_types = (u'publication', u'video', u'conference',
u'service', u'pumf', u'generic')
general_data_types = (u'view', u'indicator', u'chart')
# if there was an error before calling our validator
# don't bother with our validation
if errors[key] or errors[('subject_codes', )] or errors[(
'top_parent_id', )]:
return
product_id_new = _data_lookup(('product_id_new', ), data)
if product_id_new and is_legacy_id(product_id_new):
return
data_set_type = _data_lookup(('type', ), data)
# make sure subject_codes processed
shortcode_validate(('subject_codes', ), data, errors, context)
subject_codes = shortcode_output(_data_lookup(('subject_codes', ), data))
top_parent_id = _data_lookup(('top_parent_id', ), data)
if data_set_type in general_non_data_types:
try:
product_id_new = h.next_non_data_product_id(
subject_code=subject_codes[0][:2],
product_type_code=_data_lookup(('product_type_code', ), data))
data[key] = product_id_new
return product_id_new
except ValidationError as ve:
errors[('subject_codes', )].append(_(ve.error_summary[u'Message']))
errors[key].append(_('PID could not be generated'))
return
except IndexError:
errors[('subject_codes', )].append(_('Missing value'))
errors[key].append(_('PID could not be generated'))
return
elif data_set_type == u'issue':
if not top_parent_id:
errors[('top_parent_id', )].append(_('Missing value'))
errors[key].append(_('PID could not be generated'))
return
issue_number = _data_lookup('issue_number', data)
if not issue_number:
issue_number = h.next_issue_number(top_parent_id)
_data_update(issue_number, ('issue_number', ), data)
product_id_new = u'{pid}{issue_number}'.format(
pid=top_parent_id, issue_number=issue_number)
data[key] = product_id_new
return product_id_new
elif data_set_type == u'article':
if not top_parent_id:
errors[('top_parent_id', )].append(_('Missing value'))
errors[key].append(_('PID could not be generated'))
return
issue_number = _data_lookup('issue_number', data)
if not issue_number:
issue_number = h.next_issue_number(top_parent_id)
_data_update(issue_number, ('issue_number', ), data)
try:
if is_legacy_id(top_parent_id):
product_id_new = get_next_legacy_article_id(
context=context,
data_dict={
'parentProduct':
u'{top_parent_id}{issue_number}'.format(
top_parent_id=top_parent_id,
issue_number=issue_number)
})
else:
product_id_new = h.next_article_id(top_parent_id=top_parent_id,
issue_number=issue_number)
data[key] = product_id_new
return product_id_new
except ValidationError as ve:
errors[key].append(_(ve))
return
elif data_set_type == u'cube':
try:
product_id_new = get_next_cube_id(
context=context,
data_dict={'subjectCode': subject_codes[0][:2]})
data[key] = product_id_new
return product_id_new
except ValidationError as ve:
errors[('subject_codes', )].append(_(ve.error_dict['message']))
errors[key].append(_('PID could not be generated'))
return
except IndexError:
errors[('subject_codes', )].append(_('Missing value'))
errors[key].append(_('PID could not be generated'))
return
elif data_set_type in general_data_types:
if not top_parent_id or top_parent_id is missing:
errors[('top_parent_id', )].append(_('Missing value'))
errors[key].append(_('PID could not be generated'))
return
try:
product_id_new = get_next_product_id(
context, {
'parentProductId': top_parent_id,
'productType': data.get((u'product_type_code', ))
})
data[key] = product_id_new
return product_id_new
except ValidationError as ve:
errors[('top_parent_id', )].append(ve.error_dict['message'])
errors[key].append(_('PID could not be generated'))
return
except NotFound as e:
errors[('top_parent_id', )].append(e[0])
errors[key].append(_('PID could not be generated'))
return
else:
errors[key].append(
_('create_product_id not yet implemented for {data_set_type}'.
format(data_set_type=data_set_type)))
return
def create_product_id(key, data, errors, context):
general_non_data_types = (
u'publication',
u'video',
u'conference',
u'service',
u'pumf',
u'generic'
)
general_data_types = (
u'view',
u'indicator',
u'chart'
)
# if there was an error before calling our validator
# don't bother with our validation
if errors[key]:
return
product_id_new = _data_lookup(('product_id_new',), data)
if product_id_new:
return
data_set_type = _data_lookup(('type',), data)
# make sure subject_codes processed
shortcode_validate(('subject_codes',), data, errors, context)
subject_codes = shortcode_output(_data_lookup(('subject_codes',), data))
top_parent_id = _data_lookup(('top_parent_id',), data)
if data_set_type in general_non_data_types:
if len(subject_codes) != 1 or not re.match('\d\d', subject_codes[0]):
errors[key].append(_(
'exactly one 2-digit subject code must be provided '
'when creating a new product'
))
return
try:
product_id_new = h.next_non_data_product_id(
subject_code=subject_codes[0],
product_type_code=_data_lookup(('product_type_code',), data)
)
data[key] = product_id_new
return product_id_new
except ValidationError as ve:
errors[key].append(_(ve))
return
elif data_set_type == u'article':
if not top_parent_id or top_parent_id is missing:
errors[key].append(_('missing top_parent_id'))
return
issue_number = _data_lookup(('issue_number',), data)
if not issue_number or issue_number is missing:
errors[key].append(_('missing issue_number'))
return
try:
product_id_new = h.next_article_id(
top_parent_id=top_parent_id,
issue_number=issue_number
)
except ValidationError as ve:
errors[key].append(_(ve))
return
data[key] = product_id_new
return product_id_new
elif data_set_type == u'cube':
if len(subject_codes) != 1 or not re.match('\d\d', subject_codes[0]):
errors[key].append(_(
'exactly one 2-digit subject code must be provided '
'when creating a new product'
))
return
try:
product_id_new = get_next_cube_id(
context,
{'subjectCode': subject_codes[0]}
)
data[key] = product_id_new
return product_id_new
except ValidationError as ve:
errors[key].append(ve)
return
elif data_set_type in general_data_types:
if not top_parent_id or top_parent_id is missing:
errors[key].append(_('missing top_parent_id'))
return
try:
product_id_new = get_next_product_id(
context,
{
'parentProductId': top_parent_id,
'productType': data.get((u'product_type_code',))
}
)
data[key] = product_id_new
return product_id_new
except (ValidationError, ObjectNotFound) as e:
errors[key].append(e)
return
else:
errors[key].append(_(
'create_product_id not yet implemented for {data_set_type}'.format(
data_set_type=data_set_type
)
))
return
def create_product_id(key, data, errors, context):
general_non_data_types = (
u'publication',
u'video',
u'conference',
u'service',
u'pumf',
u'generic'
)
general_data_types = (
u'view',
u'indicator',
u'chart'
)
# if there was an error before calling our validator
# don't bother with our validation
if errors[key] or errors[('subject_codes',)] or errors[('top_parent_id',)]:
return
# product_id_new = _data_lookup(('product_id_new',), data)
# if product_id_new:
# return
data_set_type = _data_lookup(('type',), data)
# make sure subject_codes processed
shortcode_validate(('subject_codes',), data, errors, context)
subject_codes = shortcode_output(_data_lookup(('subject_codes',), data))
top_parent_id = _data_lookup(('top_parent_id',), data)
if data_set_type in general_non_data_types:
try:
product_id_new = h.next_non_data_product_id(
subject_code=subject_codes[0][:2],
product_type_code=_data_lookup(('product_type_code',), data)
)
data[key] = product_id_new
return product_id_new
except ValidationError as ve:
errors[('subject_codes',)].append(_(ve.error_summary[u'Message']))
errors[key].append(_('PID could not be generated'))
return
except IndexError:
errors[('subject_codes',)].append(_('Missing value'))
errors[key].append(_('PID could not be generated'))
return
elif data_set_type == u'article':
if not top_parent_id:
errors[('top_parent_id',)].append(_('Missing value'))
errors[key].append(_('PID could not be generated'))
return
issue_number = _data_lookup('issue_number', data)
if not issue_number:
errors[('issue_number',)].append(_('Missing value'))
errors[key].append(_('PID could not be generated'))
return
try:
if is_legacy_id(top_parent_id):
product_id_new = get_next_legacy_article_id(
context=context,
data_dict={
'parentProduct': u'{top_parent_id}{issue_number}'
.format(
top_parent_id=top_parent_id,
issue_number=issue_number
)
}
)
else:
product_id_new = h.next_article_id(
top_parent_id=top_parent_id,
issue_number=issue_number
)
data[key] = product_id_new
return product_id_new
except ValidationError as ve:
errors[key].append(_(ve))
return
elif data_set_type == u'cube':
try:
product_id_new = get_next_cube_id(
context=context,
data_dict={'subjectCode': subject_codes[0][:2]}
)
data[key] = product_id_new
return product_id_new
except ValidationError as ve:
errors[('subject_codes',)].append(_(ve.error_dict['message']))
errors[key].append(_('PID could not be generated'))
return
except IndexError:
errors[('subject_codes',)].append(_('Missing value'))
errors[key].append(_('PID could not be generated'))
return
elif data_set_type in general_data_types:
if not top_parent_id or top_parent_id is missing:
errors[('top_parent_id',)].append(_('Missing value'))
errors[key].append(_('PID could not be generated'))
return
try:
product_id_new = get_next_product_id(
context,
{
'parentProductId': top_parent_id,
'productType': data.get((u'product_type_code',))
}
)
data[key] = product_id_new
return product_id_new
except ValidationError as ve:
errors[('top_parent_id',)].append(ve.error_dict['message'])
errors[key].append(_('PID could not be generated'))
return
except NotFound as e:
errors[('top_parent_id',)].append(e[0])
errors[key].append(_('PID could not be generated'))
return
else:
errors[key].append(_(
'create_product_id not yet implemented for {data_set_type}'.format(
data_set_type=data_set_type
)
))
return
def create_product_id(key, data, errors, context):
general_non_data_types = (u"publication", u"video", u"conference", u"service", u"pumf", u"generic")
general_data_types = (u"view", u"indicator", u"chart")
# if there was an error before calling our validator
# don't bother with our validation
if errors[key] or errors[("subject_codes",)] or errors[("top_parent_id",)]:
return
product_id_new = _data_lookup(("product_id_new",), data)
if product_id_new and is_legacy_id(product_id_new):
return
data_set_type = _data_lookup(("type",), data)
# make sure subject_codes processed
shortcode_validate(("subject_codes",), data, errors, context)
subject_codes = shortcode_output(_data_lookup(("subject_codes",), data))
top_parent_id = _data_lookup(("top_parent_id",), data)
if data_set_type in general_non_data_types:
try:
product_id_new = h.next_non_data_product_id(
subject_code=subject_codes[0][:2], product_type_code=_data_lookup(("product_type_code",), data)
)
data[key] = product_id_new
return product_id_new
except ValidationError as ve:
errors[("subject_codes",)].append(_(ve.error_summary[u"Message"]))
errors[key].append(_("PID could not be generated"))
return
except IndexError:
errors[("subject_codes",)].append(_("Missing value"))
errors[key].append(_("PID could not be generated"))
return
elif data_set_type == u"issue":
if not top_parent_id:
errors[("top_parent_id",)].append(_("Missing value"))
errors[key].append(_("PID could not be generated"))
return
issue_number = _data_lookup("issue_number", data)
if not issue_number:
issue_number = h.next_issue_number(top_parent_id)
_data_update(issue_number, ("issue_number",), data)
product_id_new = u"{pid}{issue_number}".format(pid=top_parent_id, issue_number=issue_number)
data[key] = product_id_new
return product_id_new
elif data_set_type == u"article":
if not top_parent_id:
errors[("top_parent_id",)].append(_("Missing value"))
errors[key].append(_("PID could not be generated"))
return
issue_number = _data_lookup("issue_number", data)
if not issue_number:
issue_number = h.next_issue_number(top_parent_id)
_data_update(issue_number, ("issue_number",), data)
try:
if is_legacy_id(top_parent_id):
product_id_new = get_next_legacy_article_id(
context=context,
data_dict={
"parentProduct": u"{top_parent_id}{issue_number}".format(
top_parent_id=top_parent_id, issue_number=issue_number
)
},
)
else:
product_id_new = h.next_article_id(top_parent_id=top_parent_id, issue_number=issue_number)
data[key] = product_id_new
return product_id_new
except ValidationError as ve:
errors[key].append(_(ve))
return
elif data_set_type == u"cube":
try:
product_id_new = get_next_cube_id(context=context, data_dict={"subjectCode": subject_codes[0][:2]})
data[key] = product_id_new
return product_id_new
except ValidationError as ve:
errors[("subject_codes",)].append(_(ve.error_dict["message"]))
errors[key].append(_("PID could not be generated"))
return
except IndexError:
errors[("subject_codes",)].append(_("Missing value"))
errors[key].append(_("PID could not be generated"))
return
elif data_set_type in general_data_types:
if not top_parent_id or top_parent_id is missing:
errors[("top_parent_id",)].append(_("Missing value"))
errors[key].append(_("PID could not be generated"))
return
try:
product_id_new = get_next_product_id(
context, {"parentProductId": top_parent_id, "productType": data.get((u"product_type_code",))}
)
data[key] = product_id_new
return product_id_new
except ValidationError as ve:
errors[("top_parent_id",)].append(ve.error_dict["message"])
errors[key].append(_("PID could not be generated"))
return
except NotFound as e:
errors[("top_parent_id",)].append(e[0])
errors[key].append(_("PID could not be generated"))
return
else:
errors[key].append(
_("create_product_id not yet implemented for {data_set_type}".format(data_set_type=data_set_type))
)
return