/
copytext.py
169 lines (128 loc) · 4.47 KB
/
copytext.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
#!/usr/bin/env python
from flask import Markup
import xlrd
class CopyException(Exception):
pass
class Error(object):
"""
An error object that can mimic the structure of the COPY data, whether the error happens at the Copy, Sheet or Row level. Will print the error whenever it gets repr'ed.
"""
_error = ''
def __init__(self, error):
self._error = error
def __getitem__(self, i):
return self
def __iter__(self):
return iter([self])
def __len__(self):
return 1
def __repr__(self):
return self._error
class Row(object):
"""
Wraps a row of copy for error handling.
"""
_sheet = None
_row = []
_columns = []
_index = 0
def __init__(self, sheet, row, columns, index):
self._sheet = sheet
self._row = row
self._columns = columns
self._index = index
def __getitem__(self, i):
"""
Allow dict-style item access by index (column id), or by column name.
"""
if isinstance(i, int):
if i >= len(self._row):
return Error('COPY.%s.%i.%i [column index outside range]' % (self._sheet.name, self._index, i))
return Markup(self._row[i])
if i not in self._columns:
return Error('COPY.%s.%i.%s [column does not exist in sheet]' % (self._sheet.name, self._index, i))
return Markup(self._row[self._columns.index(i)])
def __iter__(self):
return iter(self._row)
def __len__(self):
return len(self._row)
def __repr__(self):
if 'value' in self._columns:
return Markup(self._row[self._columns.index('value')])
return Error('COPY.%s.%s [no value column in sheet]' % (self._sheet.name, self._row[self._columns.index('key')]))
class Sheet(object):
"""
Wrap copy text, for a single worksheet, for error handling.
"""
name = None
_sheet = []
_columns = []
def __init__(self, name, data, columns):
self.name = name
self._sheet = [Row(self, [row[c] for c in columns], columns, i) for i, row in enumerate(data)]
self._columns = columns
def __getitem__(self, i):
"""
Allow dict-style item access by index (row id), or by row name ("key" column).
"""
if isinstance(i, int):
if i >= len(self._sheet):
return Error('COPY.%s.%i [row index outside range]' % (self.name, i))
return self._sheet[i]
if 'key' not in self._columns:
return Error('COPY.%s.%s [no key column in sheet]' % (self.name, i))
for row in self._sheet:
if row['key'] == i:
return row
return Error('COPY.%s.%s [key does not exist in sheet]' % (self.name, i))
def __iter__(self):
return iter(self._sheet)
def __len__(self):
return len(self._sheet)
class Copy(object):
"""
Wraps copy text, for multiple worksheets, for error handling.
"""
_filename = ''
_copy = {}
def __init__(self, filename='data/copy.xls'):
self._filename = filename
self.load()
def __getitem__(self, name):
"""
Allow dict-style item access by sheet name.
"""
if name not in self._copy:
return Error('COPY.%s [sheet does not exist]' % name)
return self._copy[name]
def load(self):
"""
Parses the downloaded .xls file and writes it as JSON.
"""
try:
book = xlrd.open_workbook(self._filename)
except IOError:
raise CopyException('"%s" does not exist. Have you run "fab update_copy"?' % self._filename)
for sheet in book.sheets():
columns = sheet.row_values(0)
rows = []
for n in range(0, sheet.nrows):
# Sheet takes array of rows
rows.append(dict(zip(columns, sheet.row_values(n))))
self._copy[sheet.name] = Sheet(sheet.name, rows, columns)
def json(self):
"""
Serialize the copy as JSON.
"""
import json
obj = {}
for name, sheet in self._copy.items():
if 'key' in sheet._columns:
obj[name] = {}
for row in sheet:
obj[name][row['key']] = row['value']
else:
obj[name] = []
for row in sheet:
obj[name].append(row._row)
return json.dumps(obj)