blob: 1b9d0bf1c5c242a376b89f8b1879aea2bf00871b [file] [log] [blame]
#!/usr/bin/python
"""
Copyright 2014 Google Inc.
Use of this source code is governed by a BSD-style license that can be
found in the LICENSE file.
ColumnHeaderFactory class (see class docstring for details)
"""
# Keys used within dictionary representation of each column header.
# NOTE: Keep these in sync with static/constants.js
KEY__EXTRACOLUMNHEADERS__HEADER_TEXT = 'headerText'
KEY__EXTRACOLUMNHEADERS__HEADER_URL = 'headerUrl'
KEY__EXTRACOLUMNHEADERS__IS_FILTERABLE = 'isFilterable'
KEY__EXTRACOLUMNHEADERS__IS_SORTABLE = 'isSortable'
KEY__EXTRACOLUMNHEADERS__USE_FREEFORM_FILTER = 'useFreeformFilter'
KEY__EXTRACOLUMNHEADERS__VALUES_AND_COUNTS = 'valuesAndCounts'
class ColumnHeaderFactory(object):
"""Factory which assembles the header for a single column of data."""
def __init__(self, header_text, header_url=None,
is_filterable=True, is_sortable=True,
use_freeform_filter=False):
"""
Args:
header_text: string; text the client should display within column header.
header_url: string; target URL if user clicks on column header.
If None, nothing to click on.
is_filterable: boolean; whether client should allow filtering on this
column.
is_sortable: boolean; whether client should allow sorting on this column.
use_freeform_filter: boolean; *recommendation* to the client indicating
whether to allow freeform text matching, as opposed to listing all
values alongside checkboxes. If is_filterable==false, this is
meaningless.
"""
self._header_text = header_text
self._header_url = header_url
self._is_filterable = is_filterable
self._is_sortable = is_sortable
self._use_freeform_filter = use_freeform_filter
def create_as_dict(self, values_and_counts_dict=None):
"""Creates the header for this column, in dictionary form.
Creates the header for this column in dictionary form, as needed when
constructing the JSON representation. Uses the KEY__EXTRACOLUMNHEADERS__*
constants as keys.
Args:
values_and_counts_dict: dictionary mapping each possible column value
to its count (how many entries in the column have this value), or
None if this information is not available.
"""
asdict = {
KEY__EXTRACOLUMNHEADERS__HEADER_TEXT: self._header_text,
KEY__EXTRACOLUMNHEADERS__IS_FILTERABLE: self._is_filterable,
KEY__EXTRACOLUMNHEADERS__IS_SORTABLE: self._is_sortable,
KEY__EXTRACOLUMNHEADERS__USE_FREEFORM_FILTER: self._use_freeform_filter,
}
if self._header_url:
asdict[KEY__EXTRACOLUMNHEADERS__HEADER_URL] = self._header_url
if values_and_counts_dict:
asdict[KEY__EXTRACOLUMNHEADERS__VALUES_AND_COUNTS] = sorted(
values_and_counts_dict.items())
return asdict