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
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
| #!/usr/bin/env python
# -*- coding: windows-1251 -*-
# Copyright (C) 2005 Roman V. Kiseliov
# Portions are Copyright (c) 2004 Evgeny Filatov <fufff@users.sourceforge.net>
# Portions are Copyright (c) 2002-2004 John McNamara (Perl Spreadsheet::WriteExcel)
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
#
# 1. Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
#
# 2. Redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in
# the documentation and/or other materials provided with the
# distribution.
#
# 3. All advertising materials mentioning features or use of this
# software must display the following acknowledgment:
# "This product includes software developed by
# Roman V. Kiseliov <roman@kiseliov.ru>."
#
# 4. Redistributions of any form whatsoever must retain the following
# acknowledgment:
# "This product includes software developed by
# Roman V. Kiseliov <roman@kiseliov.ru>."
#
# THIS SOFTWARE IS PROVIDED BY Roman V. Kiseliov ``AS IS'' AND ANY
# EXPRESSED OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
# PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL Roman V. Kiseliov OR
# ITS CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT
# NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
# LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
# HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,
# STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
# ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED
# OF THE POSSIBILITY OF SUCH DAMAGE.
__rev_id__ = """$Id: Bitmap.py,v 1.4 2005/07/20 07:24:11 rvk Exp $"""
from BIFFRecords import BiffRecord
from struct import *
def _size_col(sheet, col):
return sheet.col_width(col)
def _size_row(sheet, row):
return sheet.row_height(row)
def _position_image(sheet, row_start, col_start, x1, y1, width, height):
"""Calculate the vertices that define the position of the image as required by
the OBJ record.
+------------+------------+
| A | B |
+-----+------------+------------+
| |(x1,y1) | |
| 1 |(A1)._______|______ |
| | | | |
| | | | |
+-----+----| BITMAP |-----+
| | | | |
| 2 | |______________. |
| | | (B2)|
| | | (x2,y2)|
+---- +------------+------------+
Example of a bitmap that covers some of the area from cell A1 to cell B2.
Based on the width and height of the bitmap we need to calculate 8 vars:
col_start, row_start, col_end, row_end, x1, y1, x2, y2.
The width and height of the cells are also variable and have to be taken into
account.
The values of col_start and row_start are passed in from the calling
function. The values of col_end and row_end are calculated by subtracting
the width and height of the bitmap from the width and height of the
underlying cells.
The vertices are expressed as a percentage of the underlying cell width as
follows (rhs values are in pixels):
x1 = X / W *1024
y1 = Y / H *256
x2 = (X-1) / W *1024
y2 = (Y-1) / H *256
Where: X is distance from the left side of the underlying cell
Y is distance from the top of the underlying cell
W is the width of the cell
H is the height of the cell
Note: the SDK incorrectly states that the height should be expressed as a
percentage of 1024.
col_start - Col containing upper left corner of object
row_start - Row containing top left corner of object
x1 - Distance to left side of object
y1 - Distance to top of object
width - Width of image frame
height - Height of image frame
"""
# Adjust start column for offsets that are greater than the col width
while x1 >= _size_col(sheet, col_start):
x1 -= _size_col(sheet, col_start)
col_start += 1
# Adjust start row for offsets that are greater than the row height
while y1 >= _size_row(sheet, row_start):
y1 -= _size_row(sheet, row_start)
row_start += 1
# Initialise end cell to the same as the start cell
row_end = row_start # Row containing bottom right corner of object
col_end = col_start # Col containing lower right corner of object
width = width + x1 - 1
height = height + y1 - 1
# Subtract the underlying cell widths to find the end cell of the image
while (width >= _size_col(sheet, col_end)):
width -= _size_col(sheet, col_end)
col_end += 1
# Subtract the underlying cell heights to find the end cell of the image
while (height >= _size_row(sheet, row_end)):
height -= _size_row(sheet, row_end)
row_end += 1
# Bitmap isn't allowed to start or finish in a hidden cell, i.e. a cell
# with zero height or width.
if ((_size_col(sheet, col_start) == 0) or (_size_col(sheet, col_end) == 0)
or (_size_row(sheet, row_start) == 0) or (_size_row(sheet, row_end) == 0)):
return
# Convert the pixel values to the percentage value expected by Excel
x1 = float(x1) / _size_col(sheet, col_start) * 1024
y1 = float(y1) / _size_row(sheet, row_start) * 256
# Distance to right side of object
x2 = float(width) / _size_col(sheet, col_end) * 1024
# Distance to bottom of object
y2 = float(height) / _size_row(sheet, row_end) * 256
return (col_start, x1, row_start, y1, col_end, x2, row_end, y2)
class ObjBmpRecord(BiffRecord):
_REC_ID = 0x005D # Record identifier
def __init__(self, row, col, sheet, im_data_bmp, x, y, scale_x, scale_y):
# Scale the frame of the image.
width = im_data_bmp.width * scale_x
height = im_data_bmp.height * scale_y
# Calculate the vertices of the image and write the OBJ record
col_start, x1, row_start, y1, col_end, x2, row_end, y2 = _position_image(sheet, row, col, x, y, width, height)
"""Store the OBJ record that precedes an IMDATA record. This could be generalise
to support other Excel objects.
"""
cObj = 0x0001 # Count of objects in file (set to 1)
OT = 0x0008 # Object type. 8 = Picture
id = 0x0001 # Object ID
grbit = 0x0614 # Option flags
colL = col_start # Col containing upper left corner of object
dxL = x1 # Distance from left side of cell
rwT = row_start # Row containing top left corner of object
dyT = y1 # Distance from top of cell
colR = col_end # Col containing lower right corner of object
dxR = x2 # Distance from right of cell
rwB = row_end # Row containing bottom right corner of object
dyB = y2 # Distance from bottom of cell
cbMacro = 0x0000 # Length of FMLA structure
Reserved1 = 0x0000 # Reserved
Reserved2 = 0x0000 # Reserved
icvBack = 0x09 # Background colour
icvFore = 0x09 # Foreground colour
fls = 0x00 # Fill pattern
fAuto = 0x00 # Automatic fill
icv = 0x08 # Line colour
lns = 0xff # Line style
lnw = 0x01 # Line weight
fAutoB = 0x00 # Automatic border
frs = 0x0000 # Frame style
cf = 0x0009 # Image format, 9 = bitmap
Reserved3 = 0x0000 # Reserved
cbPictFmla = 0x0000 # Length of FMLA structure
Reserved4 = 0x0000 # Reserved
grbit2 = 0x0001 # Option flags
Reserved5 = 0x0000 # Reserved
data = pack("<L", cObj)
data += pack("<H", OT)
data += pack("<H", id)
data += pack("<H", grbit)
data += pack("<H", colL)
data += pack("<H", dxL)
data += pack("<H", rwT)
data += pack("<H", dyT)
data += pack("<H", colR)
data += pack("<H", dxR)
data += pack("<H", rwB)
data += pack("<H", dyB)
data += pack("<H", cbMacro)
data += pack("<L", Reserved1)
data += pack("<H", Reserved2)
data += pack("<B", icvBack)
data += pack("<B", icvFore)
data += pack("<B", fls)
data += pack("<B", fAuto)
data += pack("<B", icv)
data += pack("<B", lns)
data += pack("<B", lnw)
data += pack("<B", fAutoB)
data += pack("<H", frs)
data += pack("<L", cf)
data += pack("<H", Reserved3)
data += pack("<H", cbPictFmla)
data += pack("<H", Reserved4)
data += pack("<H", grbit2)
data += pack("<L", Reserved5)
self._rec_data = data
def _process_bitmap(bitmap):
"""Convert a 24 bit bitmap into the modified internal format used by Windows.
This is described in BITMAPCOREHEADER and BITMAPCOREINFO structures in the
MSDN library.
"""
# Open file and binmode the data in case the platform needs it.
fh = file(bitmap, "rb")
try:
# Slurp the file into a string.
data = fh.read()
finally:
fh.close()
# Check that the file is big enough to be a bitmap.
if len(data) <= 0x36:
raise Exception("bitmap doesn't contain enough data.")
# The first 2 bytes are used to identify the bitmap.
if (data[:2] != "BM"):
raise Exception("bitmap doesn't appear to to be a valid bitmap image.")
# Remove bitmap data: ID.
data = data[2:]
# Read and remove the bitmap size. This is more reliable than reading
# the data size at offset 0x22.
#
size = unpack("<L", data[:4])[0]
size -= 0x36 # Subtract size of bitmap header.
size += 0x0C # Add size of BIFF header.
data = data[4:]
# Remove bitmap data: reserved, offset, header length.
data = data[12:]
# Read and remove the bitmap width and height. Verify the sizes.
width, height = unpack("<LL", data[:8])
data = data[8:]
if (width > 0xFFFF):
raise Exception("bitmap: largest image width supported is 65k.")
if (height > 0xFFFF):
raise Exception("bitmap: largest image height supported is 65k.")
# Read and remove the bitmap planes and bpp data. Verify them.
planes, bitcount = unpack("<HH", data[:4])
data = data[4:]
if (bitcount != 24):
raise Exception("bitmap isn't a 24bit true color bitmap.")
if (planes != 1):
raise Exception("bitmap: only 1 plane supported in bitmap image.")
# Read and remove the bitmap compression. Verify compression.
compression = unpack("<L", data[:4])[0]
data = data[4:]
if (compression != 0):
raise Exception("bitmap: compression not supported in bitmap image.")
# Remove bitmap data: data size, hres, vres, colours, imp. colours.
data = data[20:]
# Add the BITMAPCOREHEADER data
header = pack("<LHHHH", 0x000c, width, height, 0x01, 0x18)
data = header + data
return (width, height, size, data)
class ImDataBmpRecord(BiffRecord):
_REC_ID = 0x007F
def __init__(self, filename):
"""Insert a 24bit bitmap image in a worksheet. The main record required is
IMDATA but it must be proceeded by a OBJ record to define its position.
"""
BiffRecord.__init__(self)
self.width, self.height, self.size, data = _process_bitmap(filename)
# Write the IMDATA record to store the bitmap data
cf = 0x09
env = 0x01
lcb = self.size
self._rec_data = pack("<HHL", cf, env, lcb) + data |
Generer une image bitmap 24 bits avec PIL
Répondre avec citation
Partager