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from pyaff4 import data_store | |
from pyaff4 import aff4_image | |
from pyaff4 import lexicon | |
from pyaff4 import rdfvalue | |
from pyaff4 import zip | |
import urllib.parse | |
def getAff4Images(filepath): | |
volume_path_urn = rdfvalue.URN.NewURNFromFilename(filepath) | |
resolver = data_store.MemoryDataStore() | |
with zip.ZipFile.NewZipFile(resolver,None, volume_path_urn) as volume: | |
for subject in resolver.QueryPredicateObject(None, | |
lexicon.AFF4_TYPE, lexicon.AFF4_IMAGE_TYPE): | |
name=urllib.parse.unquote(subject.value).split("//")[2] | |
in_fd=resolver.AFF4FactoryOpen(subject) | |
yield (name,in_fd) | |
for n,fd in getAff4Images(fn): | |
print(n,fd) | |
if n.endswith(".json"): | |
print(fd.read()) |
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