Add jpeg app0 sof0 com parsing

This commit is contained in:
Sachin Kelkar 2017-02-10 10:56:50 +05:30
parent 5dd54ef012
commit c4e141a000
7 changed files with 811 additions and 0 deletions

View File

@ -5,6 +5,7 @@ from kaitaistruct import KaitaiStream
from mitmproxy.contrib.kaitaistruct import png from mitmproxy.contrib.kaitaistruct import png
from mitmproxy.contrib.kaitaistruct import gif from mitmproxy.contrib.kaitaistruct import gif
from mitmproxy.contrib.kaitaistruct import jpeg
Metadata = typing.List[typing.Tuple[str, str]] Metadata = typing.List[typing.Tuple[str, str]]
@ -55,3 +56,20 @@ def parse_gif(data: bytes) -> Metadata:
if comment is not b'': if comment is not b'':
parts.append(('comment', str(comment))) parts.append(('comment', str(comment)))
return parts return parts
def parse_jpeg(data: bytes) -> Metadata:
img = jpeg.Jpeg(KaitaiStream(io.BytesIO(data)))
parts = [
('Format', 'JPEG (ISO 10918)')
]
for segment in img.segments:
if segment.marker._name_ == 'sof0':
parts.append(('Size', "{0} x {1} px".format(segment.data.image_width, segment.data.image_height)))
if segment.marker._name_ == 'app0':
parts.append(('jfif_version', "({0}, {1})".format(segment.data.version_major, segment.data.version_minor)))
parts.append(('jfif_density', "({0}, {1})".format(segment.data.density_x, segment.data.density_y)))
parts.append(('jfif_unit', str(segment.data.density_units._value_)))
if segment.marker._name_ == 'com':
parts.append(('comment', str(segment.data)))
return parts

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@ -33,6 +33,11 @@ class ViewImage(base.View):
parts = image_parser.parse_gif(data) parts = image_parser.parse_gif(data)
fmt = base.format_dict(multidict.MultiDict(parts)) fmt = base.format_dict(multidict.MultiDict(parts))
return "%s image" % f, fmt return "%s image" % f, fmt
elif image_type == 'jpeg':
f = "JPEG"
parts = image_parser.parse_jpeg(data)
fmt = base.format_dict(multidict.MultiDict(parts))
return "%s image" % f, fmt
try: try:
img = Image.open(io.BytesIO(data)) img = Image.open(io.BytesIO(data))
except IOError: except IOError:

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@ -0,0 +1,573 @@
# This is a generated file! Please edit source .ksy file and use kaitai-struct-compiler to rebuild
import array
import struct
import zlib
from enum import Enum
from kaitaistruct import KaitaiStruct, KaitaiStream, BytesIO
class Exif(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
self._io = _io
self._parent = _parent
self._root = _root if _root else self
self.endianness = self._io.read_bytes(2)
self.version = self._io.read_u2be()
self.ifd0_ofs = self._io.read_u4be()
class Ifd(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
self._io = _io
self._parent = _parent
self._root = _root if _root else self
self.num_fields = self._io.read_u2be()
self.fields = [None] * (self.num_fields)
for i in range(self.num_fields):
self.fields[i] = self._root.IfdField(self._io, self, self._root)
self.next_ifd_ofs = self._io.read_u4be()
@property
def next_ifd(self):
if hasattr(self, '_m_next_ifd'):
return self._m_next_ifd if hasattr(self, '_m_next_ifd') else None
if self.next_ifd_ofs != 0:
_pos = self._io.pos()
self._io.seek(self.next_ifd_ofs)
self._m_next_ifd = self._root.Ifd(self._io, self, self._root)
self._io.seek(_pos)
return self._m_next_ifd if hasattr(self, '_m_next_ifd') else None
class IfdField(KaitaiStruct):
class FieldTypeEnum(Enum):
byte = 1
ascii_string = 2
word = 3
dword = 4
rational = 5
class TagEnum(Enum):
image_width = 256
image_height = 257
bits_per_sample = 258
compression = 259
photometric_interpretation = 262
thresholding = 263
cell_width = 264
cell_length = 265
fill_order = 266
document_name = 269
image_description = 270
make = 271
model = 272
strip_offsets = 273
orientation = 274
samples_per_pixel = 277
rows_per_strip = 278
strip_byte_counts = 279
min_sample_value = 280
max_sample_value = 281
x_resolution = 282
y_resolution = 283
planar_configuration = 284
page_name = 285
x_position = 286
y_position = 287
free_offsets = 288
free_byte_counts = 289
gray_response_unit = 290
gray_response_curve = 291
t4_options = 292
t6_options = 293
resolution_unit = 296
page_number = 297
color_response_unit = 300
transfer_function = 301
software = 305
modify_date = 306
artist = 315
host_computer = 316
predictor = 317
white_point = 318
primary_chromaticities = 319
color_map = 320
halftone_hints = 321
tile_width = 322
tile_length = 323
tile_offsets = 324
tile_byte_counts = 325
bad_fax_lines = 326
clean_fax_data = 327
consecutive_bad_fax_lines = 328
sub_ifd = 330
ink_set = 332
ink_names = 333
numberof_inks = 334
dot_range = 336
target_printer = 337
extra_samples = 338
sample_format = 339
s_min_sample_value = 340
s_max_sample_value = 341
transfer_range = 342
clip_path = 343
x_clip_path_units = 344
y_clip_path_units = 345
indexed = 346
jpeg_tables = 347
opi_proxy = 351
global_parameters_ifd = 400
profile_type = 401
fax_profile = 402
coding_methods = 403
version_year = 404
mode_number = 405
decode = 433
default_image_color = 434
t82_options = 435
jpeg_tables2 = 437
jpeg_proc = 512
thumbnail_offset = 513
thumbnail_length = 514
jpeg_restart_interval = 515
jpeg_lossless_predictors = 517
jpeg_point_transforms = 518
jpegq_tables = 519
jpegdc_tables = 520
jpegac_tables = 521
y_cb_cr_coefficients = 529
y_cb_cr_sub_sampling = 530
y_cb_cr_positioning = 531
reference_black_white = 532
strip_row_counts = 559
application_notes = 700
uspto_miscellaneous = 999
related_image_file_format = 4096
related_image_width = 4097
related_image_height = 4098
rating = 18246
xp_dip_xml = 18247
stitch_info = 18248
rating_percent = 18249
sony_raw_file_type = 28672
light_falloff_params = 28722
chromatic_aberration_corr_params = 28725
distortion_corr_params = 28727
image_id = 32781
wang_tag1 = 32931
wang_annotation = 32932
wang_tag3 = 32933
wang_tag4 = 32934
image_reference_points = 32953
region_xform_tack_point = 32954
warp_quadrilateral = 32955
affine_transform_mat = 32956
matteing = 32995
data_type = 32996
image_depth = 32997
tile_depth = 32998
image_full_width = 33300
image_full_height = 33301
texture_format = 33302
wrap_modes = 33303
fov_cot = 33304
matrix_world_to_screen = 33305
matrix_world_to_camera = 33306
model2 = 33405
cfa_repeat_pattern_dim = 33421
cfa_pattern2 = 33422
battery_level = 33423
kodak_ifd = 33424
copyright = 33432
exposure_time = 33434
f_number = 33437
md_file_tag = 33445
md_scale_pixel = 33446
md_color_table = 33447
md_lab_name = 33448
md_sample_info = 33449
md_prep_date = 33450
md_prep_time = 33451
md_file_units = 33452
pixel_scale = 33550
advent_scale = 33589
advent_revision = 33590
uic1_tag = 33628
uic2_tag = 33629
uic3_tag = 33630
uic4_tag = 33631
iptc_naa = 33723
intergraph_packet_data = 33918
intergraph_flag_registers = 33919
intergraph_matrix = 33920
ingr_reserved = 33921
model_tie_point = 33922
site = 34016
color_sequence = 34017
it8_header = 34018
raster_padding = 34019
bits_per_run_length = 34020
bits_per_extended_run_length = 34021
color_table = 34022
image_color_indicator = 34023
background_color_indicator = 34024
image_color_value = 34025
background_color_value = 34026
pixel_intensity_range = 34027
transparency_indicator = 34028
color_characterization = 34029
hc_usage = 34030
trap_indicator = 34031
cmyk_equivalent = 34032
sem_info = 34118
afcp_iptc = 34152
pixel_magic_jbig_options = 34232
jpl_carto_ifd = 34263
model_transform = 34264
wb_grgb_levels = 34306
leaf_data = 34310
photoshop_settings = 34377
exif_offset = 34665
icc_profile = 34675
tiff_fx_extensions = 34687
multi_profiles = 34688
shared_data = 34689
t88_options = 34690
image_layer = 34732
geo_tiff_directory = 34735
geo_tiff_double_params = 34736
geo_tiff_ascii_params = 34737
jbig_options = 34750
exposure_program = 34850
spectral_sensitivity = 34852
gps_info = 34853
iso = 34855
opto_electric_conv_factor = 34856
interlace = 34857
time_zone_offset = 34858
self_timer_mode = 34859
sensitivity_type = 34864
standard_output_sensitivity = 34865
recommended_exposure_index = 34866
iso_speed = 34867
iso_speed_latitudeyyy = 34868
iso_speed_latitudezzz = 34869
fax_recv_params = 34908
fax_sub_address = 34909
fax_recv_time = 34910
fedex_edr = 34929
leaf_sub_ifd = 34954
exif_version = 36864
date_time_original = 36867
create_date = 36868
google_plus_upload_code = 36873
offset_time = 36880
offset_time_original = 36881
offset_time_digitized = 36882
components_configuration = 37121
compressed_bits_per_pixel = 37122
shutter_speed_value = 37377
aperture_value = 37378
brightness_value = 37379
exposure_compensation = 37380
max_aperture_value = 37381
subject_distance = 37382
metering_mode = 37383
light_source = 37384
flash = 37385
focal_length = 37386
flash_energy = 37387
spatial_frequency_response = 37388
noise = 37389
focal_plane_x_resolution = 37390
focal_plane_y_resolution = 37391
focal_plane_resolution_unit = 37392
image_number = 37393
security_classification = 37394
image_history = 37395
subject_area = 37396
exposure_index = 37397
tiff_ep_standard_id = 37398
sensing_method = 37399
cip3_data_file = 37434
cip3_sheet = 37435
cip3_side = 37436
sto_nits = 37439
maker_note = 37500
user_comment = 37510
sub_sec_time = 37520
sub_sec_time_original = 37521
sub_sec_time_digitized = 37522
ms_document_text = 37679
ms_property_set_storage = 37680
ms_document_text_position = 37681
image_source_data = 37724
ambient_temperature = 37888
humidity = 37889
pressure = 37890
water_depth = 37891
acceleration = 37892
camera_elevation_angle = 37893
xp_title = 40091
xp_comment = 40092
xp_author = 40093
xp_keywords = 40094
xp_subject = 40095
flashpix_version = 40960
color_space = 40961
exif_image_width = 40962
exif_image_height = 40963
related_sound_file = 40964
interop_offset = 40965
samsung_raw_pointers_offset = 40976
samsung_raw_pointers_length = 40977
samsung_raw_byte_order = 41217
samsung_raw_unknown = 41218
flash_energy2 = 41483
spatial_frequency_response2 = 41484
noise2 = 41485
focal_plane_x_resolution2 = 41486
focal_plane_y_resolution2 = 41487
focal_plane_resolution_unit2 = 41488
image_number2 = 41489
security_classification2 = 41490
image_history2 = 41491
subject_location = 41492
exposure_index2 = 41493
tiff_ep_standard_id2 = 41494
sensing_method2 = 41495
file_source = 41728
scene_type = 41729
cfa_pattern = 41730
custom_rendered = 41985
exposure_mode = 41986
white_balance = 41987
digital_zoom_ratio = 41988
focal_length_in35mm_format = 41989
scene_capture_type = 41990
gain_control = 41991
contrast = 41992
saturation = 41993
sharpness = 41994
device_setting_description = 41995
subject_distance_range = 41996
image_unique_id = 42016
owner_name = 42032
serial_number = 42033
lens_info = 42034
lens_make = 42035
lens_model = 42036
lens_serial_number = 42037
gdal_metadata = 42112
gdal_no_data = 42113
gamma = 42240
expand_software = 44992
expand_lens = 44993
expand_film = 44994
expand_filter_lens = 44995
expand_scanner = 44996
expand_flash_lamp = 44997
pixel_format = 48129
transformation = 48130
uncompressed = 48131
image_type = 48132
image_width2 = 48256
image_height2 = 48257
width_resolution = 48258
height_resolution = 48259
image_offset = 48320
image_byte_count = 48321
alpha_offset = 48322
alpha_byte_count = 48323
image_data_discard = 48324
alpha_data_discard = 48325
oce_scanjob_desc = 50215
oce_application_selector = 50216
oce_id_number = 50217
oce_image_logic = 50218
annotations = 50255
print_im = 50341
original_file_name = 50547
uspto_original_content_type = 50560
dng_version = 50706
dng_backward_version = 50707
unique_camera_model = 50708
localized_camera_model = 50709
cfa_plane_color = 50710
cfa_layout = 50711
linearization_table = 50712
black_level_repeat_dim = 50713
black_level = 50714
black_level_delta_h = 50715
black_level_delta_v = 50716
white_level = 50717
default_scale = 50718
default_crop_origin = 50719
default_crop_size = 50720
color_matrix1 = 50721
color_matrix2 = 50722
camera_calibration1 = 50723
camera_calibration2 = 50724
reduction_matrix1 = 50725
reduction_matrix2 = 50726
analog_balance = 50727
as_shot_neutral = 50728
as_shot_white_xy = 50729
baseline_exposure = 50730
baseline_noise = 50731
baseline_sharpness = 50732
bayer_green_split = 50733
linear_response_limit = 50734
camera_serial_number = 50735
dng_lens_info = 50736
chroma_blur_radius = 50737
anti_alias_strength = 50738
shadow_scale = 50739
sr2_private = 50740
maker_note_safety = 50741
raw_image_segmentation = 50752
calibration_illuminant1 = 50778
calibration_illuminant2 = 50779
best_quality_scale = 50780
raw_data_unique_id = 50781
alias_layer_metadata = 50784
original_raw_file_name = 50827
original_raw_file_data = 50828
active_area = 50829
masked_areas = 50830
as_shot_icc_profile = 50831
as_shot_pre_profile_matrix = 50832
current_icc_profile = 50833
current_pre_profile_matrix = 50834
colorimetric_reference = 50879
s_raw_type = 50885
panasonic_title = 50898
panasonic_title2 = 50899
camera_calibration_sig = 50931
profile_calibration_sig = 50932
profile_ifd = 50933
as_shot_profile_name = 50934
noise_reduction_applied = 50935
profile_name = 50936
profile_hue_sat_map_dims = 50937
profile_hue_sat_map_data1 = 50938
profile_hue_sat_map_data2 = 50939
profile_tone_curve = 50940
profile_embed_policy = 50941
profile_copyright = 50942
forward_matrix1 = 50964
forward_matrix2 = 50965
preview_application_name = 50966
preview_application_version = 50967
preview_settings_name = 50968
preview_settings_digest = 50969
preview_color_space = 50970
preview_date_time = 50971
raw_image_digest = 50972
original_raw_file_digest = 50973
sub_tile_block_size = 50974
row_interleave_factor = 50975
profile_look_table_dims = 50981
profile_look_table_data = 50982
opcode_list1 = 51008
opcode_list2 = 51009
opcode_list3 = 51022
noise_profile = 51041
time_codes = 51043
frame_rate = 51044
t_stop = 51058
reel_name = 51081
original_default_final_size = 51089
original_best_quality_size = 51090
original_default_crop_size = 51091
camera_label = 51105
profile_hue_sat_map_encoding = 51107
profile_look_table_encoding = 51108
baseline_exposure_offset = 51109
default_black_render = 51110
new_raw_image_digest = 51111
raw_to_preview_gain = 51112
default_user_crop = 51125
padding = 59932
offset_schema = 59933
owner_name2 = 65000
serial_number2 = 65001
lens = 65002
kdc_ifd = 65024
raw_file = 65100
converter = 65101
white_balance2 = 65102
exposure = 65105
shadows = 65106
brightness = 65107
contrast2 = 65108
saturation2 = 65109
sharpness2 = 65110
smoothness = 65111
moire_filter = 65112
def __init__(self, _io, _parent=None, _root=None):
self._io = _io
self._parent = _parent
self._root = _root if _root else self
self.tag = self._root.IfdField.TagEnum(self._io.read_u2be())
self.field_type = self._root.IfdField.FieldTypeEnum(self._io.read_u2be())
self.length = self._io.read_u4be()
self.ofs_or_data = self._io.read_u4be()
@property
def type_byte_length(self):
if hasattr(self, '_m_type_byte_length'):
return self._m_type_byte_length if hasattr(self, '_m_type_byte_length') else None
self._m_type_byte_length = (2 if self.field_type == self._root.IfdField.FieldTypeEnum.word else (4 if self.field_type == self._root.IfdField.FieldTypeEnum.dword else 1))
return self._m_type_byte_length if hasattr(self, '_m_type_byte_length') else None
@property
def byte_length(self):
if hasattr(self, '_m_byte_length'):
return self._m_byte_length if hasattr(self, '_m_byte_length') else None
self._m_byte_length = (self.length * self.type_byte_length)
return self._m_byte_length if hasattr(self, '_m_byte_length') else None
@property
def is_immediate_data(self):
if hasattr(self, '_m_is_immediate_data'):
return self._m_is_immediate_data if hasattr(self, '_m_is_immediate_data') else None
self._m_is_immediate_data = self.byte_length <= 4
return self._m_is_immediate_data if hasattr(self, '_m_is_immediate_data') else None
@property
def data(self):
if hasattr(self, '_m_data'):
return self._m_data if hasattr(self, '_m_data') else None
if not self.is_immediate_data:
io = self._root._io
_pos = io.pos()
io.seek(self.ofs_or_data)
self._m_data = io.read_bytes(self.byte_length)
io.seek(_pos)
return self._m_data if hasattr(self, '_m_data') else None
@property
def ifd0(self):
if hasattr(self, '_m_ifd0'):
return self._m_ifd0 if hasattr(self, '_m_ifd0') else None
_pos = self._io.pos()
self._io.seek(self.ifd0_ofs)
self._m_ifd0 = self._root.Ifd(self._io, self, self._root)
self._io.seek(_pos)
return self._m_ifd0 if hasattr(self, '_m_ifd0') else None

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@ -0,0 +1,191 @@
# This is a generated file! Please edit source .ksy file and use kaitai-struct-compiler to rebuild
import array
import struct
import zlib
from enum import Enum
from kaitaistruct import KaitaiStruct, KaitaiStream, BytesIO
from .exif import Exif
class Jpeg(KaitaiStruct):
class ComponentId(Enum):
y = 1
cb = 2
cr = 3
i = 4
q = 5
def __init__(self, _io, _parent=None, _root=None):
self._io = _io
self._parent = _parent
self._root = _root if _root else self
self.segments = []
while not self._io.is_eof():
self.segments.append(self._root.Segment(self._io, self, self._root))
class Segment(KaitaiStruct):
class MarkerEnum(Enum):
tem = 1
sof0 = 192
sof1 = 193
sof2 = 194
sof3 = 195
dht = 196
sof5 = 197
sof6 = 198
sof7 = 199
soi = 216
eoi = 217
sos = 218
dqt = 219
dnl = 220
dri = 221
app0 = 224
app1 = 225
app2 = 226
com = 254
def __init__(self, _io, _parent=None, _root=None):
self._io = _io
self._parent = _parent
self._root = _root if _root else self
self.magic = self._io.ensure_fixed_contents(struct.pack('1b', -1))
self.marker = self._root.Segment.MarkerEnum(self._io.read_u1())
if ((self.marker != self._root.Segment.MarkerEnum.soi) and (self.marker != self._root.Segment.MarkerEnum.eoi)) :
self.length = self._io.read_u2be()
if ((self.marker != self._root.Segment.MarkerEnum.soi) and (self.marker != self._root.Segment.MarkerEnum.eoi)) :
_on = self.marker
if _on == self._root.Segment.MarkerEnum.sos:
self._raw_data = self._io.read_bytes((self.length - 2))
io = KaitaiStream(BytesIO(self._raw_data))
self.data = self._root.SegmentSos(io, self, self._root)
elif _on == self._root.Segment.MarkerEnum.app1:
self._raw_data = self._io.read_bytes((self.length - 2))
io = KaitaiStream(BytesIO(self._raw_data))
self.data = self._root.SegmentApp1(io, self, self._root)
elif _on == self._root.Segment.MarkerEnum.sof0:
self._raw_data = self._io.read_bytes((self.length - 2))
io = KaitaiStream(BytesIO(self._raw_data))
self.data = self._root.SegmentSof0(io, self, self._root)
elif _on == self._root.Segment.MarkerEnum.app0:
self._raw_data = self._io.read_bytes((self.length - 2))
io = KaitaiStream(BytesIO(self._raw_data))
self.data = self._root.SegmentApp0(io, self, self._root)
else:
self.data = self._io.read_bytes((self.length - 2))
if self.marker == self._root.Segment.MarkerEnum.sos:
self.image_data = self._io.read_bytes_full()
class SegmentSos(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
self._io = _io
self._parent = _parent
self._root = _root if _root else self
self.num_components = self._io.read_u1()
self.components = [None] * (self.num_components)
for i in range(self.num_components):
self.components[i] = self._root.SegmentSos.Component(self._io, self, self._root)
self.start_spectral_selection = self._io.read_u1()
self.end_spectral = self._io.read_u1()
self.appr_bit_pos = self._io.read_u1()
class Component(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
self._io = _io
self._parent = _parent
self._root = _root if _root else self
self.id = self._root.ComponentId(self._io.read_u1())
self.huffman_table = self._io.read_u1()
class SegmentApp1(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
self._io = _io
self._parent = _parent
self._root = _root if _root else self
self.magic = self._io.read_strz("ASCII", 0, False, True, True)
_on = self.magic
if _on == u"Exif":
self.body = self._root.ExifInJpeg(self._io, self, self._root)
class SegmentSof0(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
self._io = _io
self._parent = _parent
self._root = _root if _root else self
self.bits_per_sample = self._io.read_u1()
self.image_height = self._io.read_u2be()
self.image_width = self._io.read_u2be()
self.num_components = self._io.read_u1()
self.components = [None] * (self.num_components)
for i in range(self.num_components):
self.components[i] = self._root.SegmentSof0.Component(self._io, self, self._root)
class Component(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
self._io = _io
self._parent = _parent
self._root = _root if _root else self
self.id = self._root.ComponentId(self._io.read_u1())
self.sampling_factors = self._io.read_u1()
self.quantization_table_id = self._io.read_u1()
@property
def sampling_x(self):
if hasattr(self, '_m_sampling_x'):
return self._m_sampling_x if hasattr(self, '_m_sampling_x') else None
self._m_sampling_x = ((self.sampling_factors & 240) >> 4)
return self._m_sampling_x if hasattr(self, '_m_sampling_x') else None
@property
def sampling_y(self):
if hasattr(self, '_m_sampling_y'):
return self._m_sampling_y if hasattr(self, '_m_sampling_y') else None
self._m_sampling_y = (self.sampling_factors & 15)
return self._m_sampling_y if hasattr(self, '_m_sampling_y') else None
class ExifInJpeg(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
self._io = _io
self._parent = _parent
self._root = _root if _root else self
self.extra_zero = self._io.ensure_fixed_contents(struct.pack('1b', 0))
self._raw_data = self._io.read_bytes_full()
io = KaitaiStream(BytesIO(self._raw_data))
self.data = Exif(io)
class SegmentApp0(KaitaiStruct):
class DensityUnit(Enum):
no_units = 0
pixels_per_inch = 1
pixels_per_cm = 2
def __init__(self, _io, _parent=None, _root=None):
self._io = _io
self._parent = _parent
self._root = _root if _root else self
self.magic = self._io.read_str_byte_limit(5, "ASCII")
self.version_major = self._io.read_u1()
self.version_minor = self._io.read_u1()
self.density_units = self._root.SegmentApp0.DensityUnit(self._io.read_u1())
self.density_x = self._io.read_u2be()
self.density_y = self._io.read_u2be()
self.thumbnail_x = self._io.read_u1()
self.thumbnail_y = self._io.read_u1()
self.thumbnail = self._io.read_bytes(((self.thumbnail_x * self.thumbnail_y) * 3))

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@ -104,3 +104,27 @@ def test_parse_png(filename, metadata):
def test_parse_gif(filename, metadata): def test_parse_gif(filename, metadata):
with open(tutils.test_data.path(filename), 'rb') as f: with open(tutils.test_data.path(filename), 'rb') as f:
assert metadata == image_parser.parse_gif(f.read()) assert metadata == image_parser.parse_gif(f.read())
@pytest.mark.parametrize("filename, metadata", {
# check app0
"mitmproxy/data/image_parser/example.jpg": [
('Format', 'JPEG (ISO 10918)'),
('jfif_version', '(1, 1)'),
('jfif_density', '(96, 96)'),
('jfif_unit', '1'),
('Size', '256 x 256 px')
],
# check com
"mitmproxy/data/image_parser/comment.jpg": [
('Format', 'JPEG (ISO 10918)'),
('jfif_version', '(1, 1)'),
('jfif_density', '(96, 96)'),
('jfif_unit', '1'),
('comment', "b'mitmproxy test image'"),
('Size', '256 x 256 px')
],
}.items())
def test_parse_jpeg(filename, metadata):
with open(tutils.test_data.path(filename), 'rb') as f:
assert metadata == image_parser.parse_jpeg(f.read())

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