| Index: gm/rebaseline_server/column.py
|
| diff --git a/gm/rebaseline_server/column.py b/gm/rebaseline_server/column.py
|
| new file mode 100644
|
| index 0000000000000000000000000000000000000000..7bce15a2502e05c0dcd846785cbfa535323df0fc
|
| --- /dev/null
|
| +++ b/gm/rebaseline_server/column.py
|
| @@ -0,0 +1,64 @@
|
| +#!/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.
|
| +KEY__HEADER_TEXT = 'headerText'
|
| +KEY__HEADER_URL = 'headerUrl'
|
| +KEY__IS_FILTERABLE = 'isFilterable'
|
| +KEY__IS_SORTABLE = 'isSortable'
|
| +KEY__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,
|
| + include_values_and_counts=True):
|
| + """
|
| + Args:
|
| + header_text: string; text the client should display within column header.
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| + header_url: string; target URL if user clicks on column header.
|
| + If None, nothing to click on.
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| + is_filterable: boolean; whether client should allow filtering on this
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| + column.
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| + is_sortable: boolean; whether client should allow sorting on this column.
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| + include_values_and_counts: boolean; whether the set of values found
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| + within this column, and their counts, should be available for the
|
| + client to display.
|
| + """
|
| + self._header_text = header_text
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| + self._header_url = header_url
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| + self._is_filterable = is_filterable
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| + self._is_sortable = is_sortable
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| + self._include_values_and_counts = include_values_and_counts
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| +
|
| + def create_as_dict(self, values_and_counts_dict=None):
|
| + """Creates the header for this column, in dictionary form.
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| +
|
| + Creates the header for this column in dictionary form, as needed when
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| + constructing the JSON representation. Uses the KEY__* constants as keys.
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| +
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| + Args:
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| + values_and_counts_dict: dictionary mapping each possible column value
|
| + to its count (how many entries in the column have this value), or
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| + None if this information is not available.
|
| + """
|
| + asdict = {
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| + KEY__HEADER_TEXT: self._header_text,
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| + KEY__IS_FILTERABLE: self._is_filterable,
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| + KEY__IS_SORTABLE: self._is_sortable,
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| + }
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| + if self._header_url:
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| + asdict[KEY__HEADER_URL] = self._header_url
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| + if self._include_values_and_counts and values_and_counts_dict:
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| + asdict[KEY__VALUES_AND_COUNTS] = values_and_counts_dict
|
| + return asdict
|
|
|