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202 web/table/LICENSE
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26 web/table/README.md
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JavaScript Table Library
------------------------
- `table-lib.js`:
- function makeTablesSortable()
- function updateTables()
depends on:
- `../ajax.js`:
- function ajaxGet()
- class UrlHash
- `table-sort.css`:
- hover over row, numbers aligned right, etc.
- `csv_to_html.py`:
- Generates `<colgroup>`
Demo
----
$ ./run.sh write-table
Then open up the HTML file in your browser.
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63 web/table/csv-to-html-test.sh
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#!/bin/bash
#
# Test for csv_to_html.py.
#
# Usage:
# ./csv-to-html-test.sh <function name>
set -o nounset
set -o pipefail
set -o errexit
test-basic() {
./csv_to_html.py <<EOF
a_number,b
1,2
3,4
NA,4
EOF
}
test-col-format() {
./csv_to_html.py \
--col-format 'b <a href="../{b}/metric.html">{b}</a>' <<EOF
a,b
1,2015-05-01
3,2015-05-02
EOF
}
test-var-def() {
./csv_to_html.py \
--def 'v VALUE' \
--col-format 'b <a href="../{b}/metric.html">{v}</a>' <<EOF
a,b
1,2
3,4
EOF
}
test-as-percent() {
./csv_to_html.py \
--as-percent b <<EOF
a,b
A,0.21
B,0.001
C,0.0009
D,0.0001
EOF
}
if test $# -eq 0; then
test-basic
echo '--'
test-col-format
echo '--'
test-var-def
echo '--'
test-as-percent
echo '--'
echo 'OK'
else
"$@"
fi
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224 web/table/csv_to_html.py
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#!/usr/bin/python
# Copyright 2014 Google Inc. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Reads a CSV file on stdin, and prints an an HTML table on stdout.
The static HTML can then be made made dynamic with JavaScript, e.g. jQuery
DataTable.
NOTE: This detects if the column is numeric and outputs <colgroup> entries to
indicate it.
"""
import cgi
import csv
import optparse
import sys
def CreateOptionsParser():
p = optparse.OptionParser()
# We are taking a path, and not using stdin, because we read it twice.
p.add_option(
'--col-format', dest='col_formats', metavar="'COLNAME FMT'", type='str',
default=[], action='append',
help='Add HTML links to the named column, using the given Python '
'.format() string')
p.add_option(
'--def', dest='defs', metavar="'NAME VALUE'", type='str',
default=[], action='append',
help='Define varaibles for use in format strings')
p.add_option(
'--as-percent', dest='percent_cols', metavar="COLNAME", type='str',
default=[], action='append',
help='Format this floating point column as a percentage string')
# TODO: We could include this by default, and then change all the HTML to
# have <div> placeholders instead of <table>.
p.add_option(
'--table', dest='table', default=False, action='store_true',
help='Add <table></table> tags (useful for testing)')
return p
def ParseSpec(arg_list):
"""Given an argument list, return a string -> string dictionary."""
# The format string is passed the cell value. Escaped as HTML?
d = {}
for s in arg_list:
try:
name, value = s.split(' ', 1)
except ValueError:
raise RuntimeError('Invalid column format %r' % s)
d[name] = value
return d
def PrintRow(row, col_names, col_formats, defs, percent_cols):
"""Print a CSV row as HTML, using the given formatting.
Returns:
An array of booleans indicating whether each cell is a number.
"""
is_number_flags = [False] * len(col_names)
for i, cell in enumerate(row):
# The cell as a string. By default we leave it as is; it may be mutated
# below.
cell_str = cell
css_class = '' # CSS class for the cell.
col_name = col_names[i] # column that the cell is under
# Does the cell look like a float?
try:
cell_float = float(cell)
if col_name in percent_cols: # Floats can be formatted as percentages.
cell_str = '{:.1f}%'.format(cell_float * 100)
else:
# Arbitrarily use 3 digits of precision for display
cell_str = '{:.3f}'.format(cell_float)
css_class = 'num'
is_number_flags[i] = True
except ValueError:
pass
# Does it look lik an int?
try:
cell_int = int(cell)
cell_str = '{:,}'.format(cell_int)
css_class = 'num'
is_number_flags[i] = True
except ValueError:
pass
# Special CSS class for R NA values.
if cell_str.strip() == 'NA':
css_class = 'num na' # num should right justify; na should make it red
is_number_flags[i] = True
if css_class:
print ' <td class="{}">'.format(css_class),
else:
print ' <td>',
cell_safe = cgi.escape(cell_str)
# If the cell has a format string, print it this way.
fmt = col_formats.get(col_name) # e.g. "../{date}.html"
if fmt:
# Copy variable bindings
bindings = dict(defs)
# Also let the format string use other column names. TODO: Is there a
# more efficient way?
bindings.update(zip(col_names, [cgi.escape(c) for c in row]))
bindings[col_name] = cell_safe
print fmt.format(**bindings), # no newline
else:
print cell_safe, # no newline
print '</td>'
return is_number_flags
def ReadCsv(f):
"""Read the CSV file, returning the column names and rows."""
c = csv.reader(f)
# The first row of the CSV is assumed to be a header. The rest are data.
col_names = []
rows = []
for i, row in enumerate(c):
if i == 0:
col_names = row
continue
rows.append(row)
return col_names, rows
def PrintColGroup(col_names, col_is_numeric):
"""Print HTML colgroup element, used for JavaScript sorting."""
print '<colgroup>'
for i, col in enumerate(col_names):
# CSS class is used for sorting
if col_is_numeric[i]:
css_class = 'number'
else:
css_class = 'case-insensitive'
# NOTE: id is a comment only; not used
print ' <col id="{}" type="{}" />'.format(col, css_class)
print '</colgroup>'
def main(argv):
(opts, argv) = CreateOptionsParser().parse_args(argv)
col_formats = ParseSpec(opts.col_formats)
defs = ParseSpec(opts.defs)
col_names, rows = ReadCsv(sys.stdin)
for col in opts.percent_cols:
if col not in col_names:
raise RuntimeError('--percent-col %s is not a valid column' % col)
# By default, we don't print the <table> bit -- that's up to the host page
if opts.table:
print '<table>'
print '<thead>'
for col in col_names:
# change _ to space so long column names can wrap
print ' <td>%s</td>' % cgi.escape(col.replace('_', ' '))
print '</thead>'
# Assume all columns are numeric at first. Look at each row for non-numeric
# values.
col_is_numeric = [True] * len(col_names)
print '<tbody>'
for row in rows:
print ' <tr>'
is_number_flags = PrintRow(row, col_names, col_formats, defs,
opts.percent_cols)
# If one cell in a column is not a number, then the whole cell isn't.
for (i, is_number) in enumerate(is_number_flags):
if not is_number:
col_is_numeric[i] = False
print ' </tr>'
print '</tbody>'
PrintColGroup(col_names, col_is_numeric)
if opts.table:
print '</table>'
if __name__ == '__main__':
try:
main(sys.argv)
except RuntimeError, e:
print >>sys.stderr, 'FATAL: %s' % e
sys.exit(1)
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24 web/table/csv_to_html_test.py
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#!/usr/bin/python -S
"""
csv_to_html_test.py: Tests for csv_to_html.py
"""
import unittest
import csv_to_html # module under test
class CsvToHtmlTest(unittest.TestCase):
def testParseSpec(self):
self.assertEqual(
{'foo': 'bar', 'spam': 'eggs'},
csv_to_html.ParseSpec(['foo bar', 'spam eggs']))
self.assertEqual(
{},
csv_to_html.ParseSpec([]))
if __name__ == '__main__':
unittest.main()
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115 web/table/run.sh
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#!/bin/bash
#
# Usage:
# ./table.sh <function name>
set -o nounset
set -o pipefail
set -o errexit
readonly WWW=_tmp/www
readonly CSV=_tmp/table.csv
link-static() {
ln -s -f -v \
$PWD/../ajax.js \
$PWD/table-sort.js \
$PWD/table-sort.css \
$WWW
}
_html-header() {
cat <<EOF
<!DOCTYPE html>
<html>
<head>
<title>table-sort.js Example</title>
<!-- for ajaxGet, UrlHash, etc. -->
<script type="text/javascript" src="ajax.js"></script>
<link rel="stylesheet" type="text/css" href="table-sort.css" />
<script type="text/javascript" src="table-sort.js"></script>
</head>
<body onload="initPage(gUrlHash, gTableStates, kStatusElem);"
onhashchange="onHashChange(gUrlHash, gTableStates, kStatusElem);">
<p id="status"></p>
<table id="mytable">
<colgroup>
<col type="number" />
<col type="case-insensitive" />
</colgroup>
EOF
}
# NOTE: There is no initial sort?
_html-footer() {
cat <<EOF
<tfoot>
<tr>
<td>Footer 1</td>
<td>Footer 2</td>
</tr>
</tfoot>
</table>
<!-- page globals -->
<script type="text/javascript">
var gUrlHash = new UrlHash(location.hash);
var gTableStates = {};
var kStatusElem = document.getElementById('status');
function initPage(urlHash, tableStates, statusElem) {
var elem = document.getElementById('mytable');
makeTablesSortable(urlHash, [elem], tableStates);
updateTables(urlHash, tableStates, statusElem);
}
function onHashChange(urlHash, tableStates, statusElem) {
updateTables(urlHash, tableStates, statusElem);
}
</script>
</body>
</html>
EOF
}
write-csv() {
cat >$CSV <<EOF
metric,fraction
A,0.21
B,0.001
C,0.0009
D,0.0001
-,0.1
F,-
EOF
}
print-table() {
_html-header
./csv_to_html.py \
--col-format 'metric <a href="metric.html#metric={metric}">{metric}</a>' \
--as-percent fraction \
< $CSV
_html-footer
}
write-table() {
mkdir -p $WWW
link-static
write-csv
local out=$WWW/table-example.html
print-table >$out
ls -l $out
}
"$@"
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39 web/table/table-sort.css
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/* sort indicator in column headings */
.sortArrow {
color: grey;
}
thead {
font-weight: bold;
text-align: center;
}
table {
padding: 10px; /* Padding makes it look nicer. */
margin: 0 auto; /* center table on the page */
border-collapse: collapse; /* this is like old cellpadding */
}
/* like cellspacing? */
td {
padding: 5px;
}
/* Built-in support for R NA values */
.na {
color: darkred;
}
/* Numbers aligned on the right, like Excel */
.num {
text-align: right;
}
.highlight {
background-color: #f0f0f0;
}
tbody tr:hover {
background-color: lightcyan;
}
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433 web/table/table-sort.js

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