python-magic | A python wrapper for libmagic | Wrapper library
kandi X-RAY | python-magic Summary
kandi X-RAY | python-magic Summary
A python wrapper for libmagic
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Top functions reviewed by kandi - BETA
- Create a file from a file descriptor
- Raise appropriate error message
- Try to decode a string
- Decode a certificate descriptor
- Return a mimetype from a file - like object
- Get a file descriptor
- Convert s to str
- Creates a FileMagic object from a MIME type
- Create a file from a file
- Covert filename to unicode
- Load certificate from file
- Load the libmagic library
- Find libmagic
- Create a file from a buffer
- Create a certificate from a buffer
- Compile a sequence of bytes
- Convert bytes to bytes
- Detect file type from bytes
- Buffer a buffer
- Return an error
- Detect mimetype from filename
- Add compatibility functions
- Return a list of dictionaries
- Check the validity of a sequence
- Load Magic from file
- Return the contents of a file
python-magic Key Features
python-magic Examples and Code Snippets
Lines of Code : 0License : Permissive (MIT)
CopyFixed issue where control statements on multi lines with a backslash would
not parse correctly if the template itself contained CR/LF pairs as on
Windows. Pull request courtesy Charles Pigott.
Fixed some issues with running the test suite which would The ${{"foo":"bar"}} parsing issue is fixed!!
The legendary Eevee has slain the dragon!. Also fixes quoting issue
at.
Added special compatibility for the 0.5.0
Cache() constructor, which was preventing file
version checks and not allowing Mako 0.6 t As of Mako 1.1.3, the default template encoding is "utf-8". Previously, a
Python "magic encoding comment" was required for templates that were not
using ASCII.
## -*- coding: utf-8 -*-
Alors vous imaginez ma surprise, au lever du jour, quand
une drô tiffinfo IMAGE1.TIF > 1.txt
tiffinfo IMAGE2.TIF > 2.txt
opendiff [12].txt
exiftool IMAGE.TIF
magick identify -verbose IMAGE.TIF
pythoclass WrappingInterface(Foo):
def do_3(self):
super().do_3()
print("And then doing something else")
test = WrappingInterface()
test.do_1()
test.do_2()
test.do_3()
>>> python3 test.pyclass MyList(list):
async def extend_async(self, aiter):
async for obj in aiter:
self.append(obj)
async def main():
lst = MyList()
await lst.extend_async(x async for x in iterate())
return lst
class test:
@staticmethod
def Pprint(x):
rootnode = node(x)
print(rootnode.test)
test.Pprint(x)
t = test()
t.Pprint(x)
# t = B() is roughly equivalent to
t = B.__new__() # which returns `A.__new__()`
if ìssubclass(type(t), B): # False
t.__init__() # never called
import base64
import magic # https://pypi.org/project/python-magic/
import io
data = 'iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mNk+P+/HgAFhAJ/wlseKgAAAABJRU5ErkJggg=='
bytesData = io.BytesIO()
bytesData.write(base64.b64dp = percentage_by_age_groups.rename_axis(['Gender', 'Cancer'])
s = numbers_by_stages.stack(dropna=False).rename_axis(['Gender', 'Cancer', 'Stage'])
p.mul(s, axis=0).stack(dropna=False)
Gender Cancer StagCommunity Discussions
Trending Discussions on python-magic
QUESTION
I am using Apache NiFi to ingest data from Azure Storage. Now, the file I want to a huge file (100+ GB) read can have any extension and I want to read the file's header to get its actual extension.
I found python-magic package which uses libmagic to read the file's header to fetch the extension, but this requires the file to be present locally.
The NiFi pipeline to ingest the data looks like this
I need a way to get the file extension in this NiFi pipeline. Is there a way to read the file's header from the Content Repo? If yes, how do we do it? FlowFile has only the metadata which says the content-type as text/plain for a CSV.
ANSWER
Answered 2022-Feb-18 at 15:36There is no such thing as a generic 'header' that all files have that gives you it's "real" extension. A file is just a collection of bits, and we sometimes choose to give extensions/headers/footers/etc so that we know how to interpret those bits.
We tend to add that 'type' information in two ways, via a file extension e.g. .mp4 and/or via some metadata that accompanies the file - this is sometimes a header, which is sometimes plaintext and easily readible, but this is not always true. Additioanlly, it is up to the user and/or the application to set this information, and up the user and/or application to read it - neither of which are a given.
If you do not trust that the file has the proper extension applied (e.g. video.txt when it's actually an mp4) then you could also try to interrogate the metadata that is held in Azure Blob Storage (ContentType) and see what that says - however, this is also up to the user/application to set when the file is uploaded to ABS, so there is no guarantee that it is any more accurate than the file extension.
text/plain is not invalid for a plaintext CSV, as CSVs are just formatted plaintext - similar to JSON. However, you can be more specific and use e.g. text/csv for CSV and application/json for JSON.
NiFi does have IndentifyMimeType which can try to work it out for you by interrogating the file, but it is more complex that just accessing some 'header'. This processor uses Apache Tika for the detection, and adds a mime.type attribute to the FlowFile.
If your file is some kind of custom format, then this processor likely won't help you. If you know your files have a specific header, then you'll need to provide more information for your exact situation.
QUESTION
I need to install a JAR file as a library while setting up a Databricks cluster as part of my Azure Release pipeline. As of now, I have completed the following -
- use an Azure CLI task to create the cluster definition
- use curl command to download the JAR file from Maven repository into the pipeline agent folder
- set up Databricks CLI on the pipeline agent
- use
databricks fs cpto copy the JAR file from local(pipeline agent) directory onto dbfs:/FileStore/jars folder
I am trying to create a cluster-scoped init script(bash) script that will -
- install pandas, azure-cosmos and python-magic packages
- install the JAR file (already copied in the earlier steps to dbfs:/FileStore/jars location) as a cluster library file
My cluster init script looks like this -
...ANSWER
Answered 2021-Sep-17 at 06:20If you just want to copy jar files into a cluster nodes, just copy them into /databricks/jars folder, like this (as part of your init script):
QUESTION
I'm trying to install a python module, 'pyAudioProcessing' (https://github.com/jsingh811/pyAudioProcessing) on my Linux Mint distribution, and one of the items in requirements.txt is causing issues: python-magic-bin==0.4.14. When I run pip3 install -e pyAudioInstaller, I get an error:
ANSWER
Answered 2021-Mar-21 at 14:06python-magic-bin 0.4.14 provides wheels for OSX, w32 and w64, but not for Linux. And there is no source code at PyPI.
You need to install it from github:
QUESTION
From today, I started getting error while installing modules from requirements.txt, I tried to find the error module and remove it but I couldn't find.
ANSWER
Answered 2021-Jan-17 at 12:41Create a list of all the dependencies and run the following code.
QUESTION
So, here's my basic problem. I have form in my frontend that posts a file to my Django backend. Django will then pass that file off to AWS S3 for storage. I need to verify the file is a PDF or DOC before uploading to S3. I thought to check it's mime type with python-magic like so,
...ANSWER
Answered 2020-Oct-23 at 22:45form = UploadFileForm(request.POST, request.FILES)
if form.is_valid():
mime_type = magic.from_buffer(request.FILES['file'].read(), mime=True)
request.FILES['file'].seek(0)
if mime_type in ALLOWED_MIMETYPES:
upload(request.FILES['file'], file_name)
QUESTION
I am attempting to push my flask app to heroku for hosting. All was going well until the PUSH to heroku. I am receiving an error during remote:Building source: and the requirement for exiv2==0.3.1 cannot be satisfied. exiv2==0.3.1 I understand that the requirements section is usually where errors occur, based on the reading I've been doing. However, I am unsure how to proceed besides removing the exiv2 reliant code and losing some functionality...???
requirements.txt
...ANSWER
Answered 2020-Aug-23 at 20:03QUESTION
I have installed a library called fastai==1.0.59 via requirements.txt file inside my Dockerfile.
But the purpose of running the Django app is not achieved because of one error. To solve that error, I need to manually edit the files /site-packages/fastai/torch_core.py and site-packages/fastai/basic_train.py inside this library folder which I don't intend to.
Therefore I'm trying to copy the fastai folder itself from my host machine to the location inside docker image.
source location: /Users/AjayB/anaconda3/envs/MyDjangoEnv/lib/python3.6/site-packages/fastai/
destination location: ../venv/lib/python3.6/site-packages/ which is inside my docker image.
being new to docker, I tried this using COPY command like:
COPY /Users/AjayB/anaconda3/envs/MyDjangoEnv/lib/python3.6/site-packages/fastai/ ../venv/lib/python3.6/site-packages/
which gave me an error:
...ANSWER
Answered 2020-Mar-23 at 15:06Short Answer
No
Long Answer
When you run docker build the current directory and all of its contents (subdirectories and all) are copied into a staging area called the 'build context'. When you issue a COPY instruction in the Dockerfile, docker will copy from the staging area into a layer in the image's filesystem.
As you can see, this procludes copying files from directories outside the build context.
Workaround
Either download the files you want from their golden-source directly into the image during the build process (this is why you often see a lot of curl statements in Dockerfiles), or you can copy the files (dirs) you need into the build-tree and check them into source control as part of your project. Which method you choose is entirely dependent on the nature of your project and the files you need.
Notes
There are other workarounds documented for this, all of them without exception break the intent of 'portability' of your build. The only quality solutions are those documented here (though I'm happy to add to this list if I've missed any that preserve portability).
QUESTION
I have an app ABC, which I want to put on docker environment. I built a Dockerfile and got the image abcd1234 which I used in docker-compose.yml But on trying to build the docker-compose, All the requirements.txt files are getting reinstalled. Can it not use the already existing image and prevent time from reinstalling it?
I'm new to docker and trying to understand all the parameters. Also, is the 'context' correct? in docker-compose.yml or it should contain path inside the Image?
PS, my docker-compose.yml is not in same directory of project because I'll be using multiple images to expose more ports.
docker-compose.yml:
...ANSWER
Answered 2020-Mar-19 at 13:44The context: directory is the directory on your host system that includes the Dockerfile. It's the same directory you would pass to docker build, and it frequently is just the current directory ..
Within the Dockerfile, Docker can cache individual build steps so that it doesn't repeat them, but only until it reaches the point where something has changed. That "something" can be a changed RUN line, but at the point of your COPY, if any file at all changes in your local source tree that also invalidates the cache for everything after it.
For this reason, a typical Dockerfile has a couple of "phases"; you can repeat this pattern in other languages too. You can restructure your Dockerfile in this order:
QUESTION
Along with my Python scripts, I want my package to include a few configuration files (*.conf). So, in setup.py, I set the option include_package_data=True and created a file MANIFEST.in which lists the data files I want to include.
The creation of the source package is okay, and my tar.gz contains the configuration files:
...ANSWER
Answered 2020-Feb-28 at 15:57I see these problems with your distribution and setup.py:
It lists neither Python modules nor packages to install, it only lists scripts. Data installed with
MANIFEST.incould only be installed to a package (importable directory with__init__.pyin it).include_package_datadoesn't work with source distributions, it only works with wheels.MANIFEST.inis for sdists.You've forgotten to include
setup.pyin the git repository.
QUESTION
I have a flask, gunicorn, postgresql project hosted on heroku and it suddenly failed. I can access the logs, but there is no script that I wrote, so I am confused. I haven't added anything between "working" and "not working" so I don't know where I can start.
The log can be found in this pastebin. The last part is:
...ANSWER
Answered 2020-Feb-07 at 14:19Werkzeug released a new version yesterday :
Apparently werkzeug.contrib has been moved to a separate module
It is recommended to try
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install python-magic
PyPI: http://pypi.python.org/pypi/python-magic/
GitHub: https://github.com/ahupp/python-magic
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