def format_resource_items(items):
''' Take a resource item list and format nicely with blacklisting etc. '''
blacklist = ['name', 'description', 'url', 'tracking_summary']
output = []
# regular expressions for detecting types in strings
reg_ex_datetime = '^\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}(\.\d{6})?$'
reg_ex_int = '^-?\d{1,}$'
reg_ex_float = '^-?\d{1,}\.\d{1,}$'
for key, value in items:
if not value or key in blacklist:
continue
# size is treated specially as we want to show in MiB etc
if key == 'size':
value = formatters.localised_filesize(int(value))
elif isinstance(value, basestring):
# check if strings are actually datetime/number etc
if re.search(reg_ex_datetime, value):
datetime_ = date_str_to_datetime(value)
value = formatters.localised_nice_date(datetime_)
elif re.search(reg_ex_float, value):
value = formatters.localised_number(float(value))
elif re.search(reg_ex_int, value):
value = formatters.localised_number(int(value))
elif isinstance(value, int) or isinstance(value, float):
value = formatters.localised_number(value)
key = key.replace('_', ' ')
output.append((key, value))
return sorted(output, key=lambda x: x[0])
def format_resource_items(items):
''' Take a resource item list and format nicely with blacklisting etc. '''
blacklist = ['name', 'description', 'url', 'tracking_summary', 'format', 'position', 'is_local_resource',
'datastore_active', 'on_same_domain', 'mimetype', 'state', 'url_type', 'has_views']
output = []
# regular expressions for detecting types in strings
reg_ex_datetime = '^\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}(\.\d{6})?$'
reg_ex_int = '^-?\d{1,}$'
reg_ex_float = '^-?\d{1,}\.\d{1,}$'
for key, value in items:
if not value or key in blacklist:
continue
# size is treated specially as we want to show in MiB etc
if key == 'size':
try:
value = formatters.localised_filesize(int(value))
except ValueError:
# Sometimes values that can't be converted to ints can sneak
# into the db. In this case, just leave them as they are.
pass
elif isinstance(value, basestring):
# check if strings are actually datetime/number etc
if re.search(reg_ex_datetime, value):
datetime_ = date_str_to_datetime(value)
value = formatters.localised_nice_date(datetime_)
elif re.search(reg_ex_float, value):
value = formatters.localised_number(float(value))
elif re.search(reg_ex_int, value):
value = formatters.localised_number(int(value))
elif ((isinstance(value, int) or isinstance(value, float))
and value not in (True, False)):
value = formatters.localised_number(value)
key = key.replace('_', ' ')
output.append((key, value))
return sorted(output, key=lambda x: x[0])
def format_resource_items(items):
''' Take a resource item list and format nicely with blacklisting etc. '''
blacklist = ['name', 'description', 'url', 'tracking_summary']
output = []
# regular expressions for detecting types in strings
reg_ex_datetime = '^\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}(\.\d{6})?$'
reg_ex_int = '^-?\d{1,}$'
reg_ex_float = '^-?\d{1,}\.\d{1,}$'
for key, value in items:
if not value or key in blacklist:
continue
# size is treated specially as we want to show in MiB etc
if key == 'size':
value = formatters.localised_filesize(int(value))
elif isinstance(value, basestring):
# check if strings are actually datetime/number etc
if re.search(reg_ex_datetime, value):
datetime_ = date_str_to_datetime(value)
value = formatters.localised_nice_date(datetime_)
elif re.search(reg_ex_float, value):
value = formatters.localised_number(float(value))
elif re.search(reg_ex_int, value):
value = formatters.localised_number(int(value))
elif isinstance(value, int) or isinstance(value, float):
value = formatters.localised_number(value)
key = key.replace('_', ' ')
output.append((key, value))
return sorted(output, key=lambda x: x[0])
def format_resource_items(items):
''' Take a resource item list and format nicely with blacklisting etc. '''
blacklist = [
'name', 'description', 'url', 'tracking_summary', 'format', 'position',
'is_local_resource'
]
output = []
translations = [
_('created'),
_('format'),
_('has views'),
_('last modified'),
_('package id'),
_('revision id'),
_('state'),
_('url type'),
_('active'),
_('upload'),
_('position')
]
# regular expressions for detecting types in strings
reg_ex_datetime = '^\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}(\.\d{6})?$'
reg_ex_int = '^-?\d{1,}$'
reg_ex_float = '^-?\d{1,}\.\d{1,}$'
for key, value in items:
if not value or key in blacklist:
continue
# size is treated specially as we want to show in MiB etc
if key == 'size':
try:
value = formatters.localised_filesize(int(value))
except ValueError:
# Sometimes values that can't be converted to ints can sneak
# into the db. In this case, just leave them as they are.
pass
elif isinstance(value, basestring):
# check if strings are actually datetime/number etc
if re.search(reg_ex_datetime, value):
datetime_ = date_str_to_datetime(value)
value = formatters.localised_nice_date(datetime_)
elif re.search(reg_ex_float, value):
value = formatters.localised_number(float(value))
elif re.search(reg_ex_int, value):
value = formatters.localised_number(int(value))
elif isinstance(value, int) or isinstance(value, float):
value = formatters.localised_number(value)
key = key.replace('_', ' ')
key = _(key)
output.append((key, value))
return sorted(output, key=lambda x: x[0])
def _SI_number_span_close(number):
''' outputs a span with the number in SI unit eg 14700 -> 14.7k '''
number = int(number)
if number < 1000:
output = literal('<span>')
else:
output = literal('<span title="' + formatters.localised_number(number) + '">')
return output + formatters.localised_SI_number(number) + literal('</span>')
def _SI_number_span_close(number):
''' outputs a span with the number in SI unit eg 14700 -> 14.7k '''
number = int(number)
if number < 1000:
output = literal('<span>')
else:
output = literal('<span title="' + formatters.localised_number(number) + '">')
return output + formatters.localised_SI_number(number) + literal('</span>')
def SI_number_span(number):
""" outputs a span with the number in SI unit eg 14700 -> 14.7k """
number = int(number)
if number < 1000:
output = literal("<span>")
else:
output = literal('<span title="' + formatters.localised_number(number) + '">')
return output + formatters.localised_SI_number(number) + literal("</span>")
def format_resource_items(items):
''' Take a resource item list and format nicely with blacklisting etc. '''
blacklist = ['name', 'description', 'url', 'tracking_summary', 'format', 'position', 'is_local_resource', 'cache_url', 'can_be_previewed', 'hash',
'datastore_active', 'on_same_domain', 'mimetype', 'state', 'url_type', 'has_views', 'cache_last_updated', 'mimetype_inner', 'resource_type',
'_authentication_token', 'ckan_url', 'datastore_contains_all_records_of_source_file', 'ignore_hash', 'original_url', 'resource_id',
'set_url_type', 'task_created', 'package_id', 'id', 'revision_id']
output = []
additioanl_fields = ['reference_number', 'demarcation', 'Language', 'spatial_coverage', 'geodetic']
# regular expressions for detecting types in strings
reg_ex_datetime = '^\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}(\.\d{6})?$'
reg_ex_int = '^-?\d{1,}$'
reg_ex_float = '^-?\d{1,}\.\d{1,}$'
for key, value in items:
if key in blacklist:
continue
# size is treated specially as we want to show in MiB etc
if key == 'size':
try:
# in case of a url
if value is None:
continue
value = formatters.localised_filesize(int(value))
except ValueError, e:
# Sometimes values that can't be converted to ints can sneak
# into the db. In this case, just leave them as they are.
pass
elif isinstance(value, basestring):
try:
# check if strings are actually datetime/number etc
if re.search(reg_ex_datetime, value):
datetime_ = date_str_to_datetime(value)
value = formatters.localised_nice_date(datetime_)
elif re.search(reg_ex_float, value):
value = formatters.localised_number(float(value))
elif re.search(reg_ex_int, value) and key not in additioanl_fields:
value = formatters.localised_number(int(value))
except ValueError, e:
log.info(e.message)
pass
value = formatters.localised_filesize(int(value))
except ValueError, e:
# Sometimes values that can't be converted to ints can sneak
# into the db. In this case, just leave them as they are.
pass
elif isinstance(value, basestring):
try:
# check if strings are actually datetime/number etc
if re.search(reg_ex_datetime, value):
datetime_ = date_str_to_datetime(value)
value = formatters.localised_nice_date(datetime_)
elif re.search(reg_ex_float, value):
value = formatters.localised_number(float(value))
elif re.search(reg_ex_int, value) and key not in additioanl_fields:
value = formatters.localised_number(int(value))
except ValueError, e:
log.info(e.message)
pass
elif ((isinstance(value, int) or isinstance(value, float))
and value not in (True, False)):
try:
value = formatters.localised_number(value)
except ValueError, e:
log.info(e.message)
pass
key = key.replace('_', ' ')
output.append((key, value))
return sorted(output, key=lambda x: x[0])