mimeparse | Automatically exported from code.google.com/p/mimeparse
kandi X-RAY | mimeparse Summary
kandi X-RAY | mimeparse Summary
This module provides basic functions for parsing mime-type names and matching them against a list of media-ranges. See section 14.1 of RFC 2616 (the HTTP specification) for a complete explanation.
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Top functions reviewed by kandi - BETA
- Returns the quality of a mime - type
- Converts a mime - type into a ParseResults object
- Returns the best fit and quality of a given media type
- Parse a media range
- Returns the best match for a given mime - type
- Selects the best match for a list of supported media types
mimeparse Key Features
mimeparse Examples and Code Snippets
Community Discussions
Trending Discussions on mimeparse
QUESTION
I have been trying to create a requirements.txt file from the Pycharm terminal but it is adding all unnecessary packages as well. What should I do to show only used packages? Thanks, requirements.txt:
...aiohttp==3.7.3 aioredis==1.3.1 alabaster==0.7.12 anaconda-client==1.7.2 anaconda-navigator==1.9.12 anaconda-project==0.8.3 appdirs==1.4.4 appnope==0.1.0 argh==0.26.2 asgiref==3.3.1 asn1crypto==1.3.0 astroid==2.4.2 astropy==4.0.1.post1 async-timeout==3.0.1 atomicwrites==1.4.0 attrs==19.1.0 autobahn==21.2.1 Automat==20.2.0 autopep8 @ file:///tmp/build/80754af9/autopep8_1592412889138/work Babel==2.8.0 backcall==0.1.0 backports.functools-lru-cache==1.6.1 backports.shutil-get-terminal-size==1.0.0 backports.tempfile==1.0 backports.weakref==1.0.post1 bcrypt==3.1.7 beautifulsoup4==4.9.1 bitarray @ file:///C:/ci/bitarray_1594751092677/work bkcharts==0.2 bleach==3.1.0 bokeh @ file:///C:/ci/bokeh_1593183652752/work boto==2.49.0 Bottleneck==1.3.2 brotlipy==0.7.0 bs4==0.0.1 certifi==2020.6.20 cffi==1.13.1 channels==3.0.3 channels-redis==3.2.0 chardet==3.0.4 cheroot==8.5.2 Click==7.0 cloudpickle @ file:///tmp/build/80754af9/cloudpickle_1594141588948/work clyent==1.2.2 colorama==0.4.4 comtypes==1.1.7 conda==4.8.3 conda-build==3.18.11 conda-package-handling==1.7.0 conda-verify==3.4.2 constantly==15.1.0 contextlib2==0.6.0.post1 cryptography==3.4.6 cycler==0.10.0 Cython @ file:///C:/ci/cython_1594830140812/work cytoolz==0.10.1 daphne==3.0.1 dask @ file:///tmp/build/80754af9/dask-core_1594156306305/work decorator==4.4.0 defusedxml==0.6.0 diff-match-patch @ file:///tmp/build/80754af9/diff-match-patch_1594828741838/work distlib==0.3.1 distributed @ file:///C:/ci/distributed_1594747837674/work dj-database-url==0.5.0 dj-rest-auth==2.1.3 Django==3.1.5 django-admin-honeypot==1.1.0 django-allauth==0.44.0 django-bootstrap4==0.0.5 django-channels==0.7.0 django-crispy-forms==1.11.0 django-defender==0.8.0 django-heroku==0.3.1 django-honeypot==0.9.0 django-tastypie==0.14.3 djangorestframework==3.12.2 dnspython==1.15.0 docutils==0.16 entrypoints==0.3 et-xmlfile==1.0.1 Faker==0.8.13 fastcache==1.1.0 filelock==3.0.12 flake8==3.7.8 Flask==0.12.4 Flask-Bcrypt==0.7.1 Flask-Cors==3.0.3 Flask-JWT-Extended==3.7.0 Flask-Login==0.4.0 fsspec==0.7.4 future==0.18.2 gevent @ file:///C:/ci/gevent_1593010772244/work glob2==0.7 gmpy2==2.0.8 greenlet==0.4.16 gunicorn==20.0.4 h5py==2.10.0 HeapDict==1.0.1 hiredis==1.1.0 html5lib @ file:///tmp/build/80754af9/html5lib_1593446221756/work hyperlink==21.0.0 idna @ file:///tmp/build/80754af9/idna_1593446292537/work imageio @ file:///tmp/build/80754af9/imageio_1594161405741/work imagesize==1.2.0 importlib-metadata==0.23 incremental==17.5.0 intervaltree @ file:///tmp/build/80754af9/intervaltree_1594361675072/work ipykernel==5.1.3 ipython==7.8.0 ipython-genutils==0.2.0 ipywidgets==7.5.1 isort==5.7.0 itsdangerous==1.1.0 jaraco.functools==3.1.0 jdcal==1.4.1 jedi==0.15.1 Jinja2==2.10.3 joblib @ file:///tmp/build/80754af9/joblib_1594236160679/work json5==0.9.5 jsonschema==3.1.1 jupyter==1.0.0 jupyter-client==5.3.1 jupyter-console==6.0.0 jupyter-core==4.4.0 jupyterlab==2.1.5 jupyterlab-server @ file:///tmp/build/80754af9/jupyterlab_server_1594164409481/work keyring @ file:///C:/ci/keyring_1593109210108/work kiwisolver==1.2.0 lazy-object-proxy==1.4.3 libarchive-c==2.9 llvmlite==0.32.1 locket==0.2.0 lxml @ file:///C:/ci/lxml_1594826940903/work MarkupSafe==1.1.1 matplotlib @ file:///C:/ci/matplotlib-base_1592844891112/work mccabe==0.6.1 menuinst==1.4.16 mistune==0.8.4 mkl-fft==1.1.0 mkl-random==1.1.1 mkl-service==2.3.0 mock==4.0.2 more-itertools==7.2.0 mpmath==1.1.0 msgpack==1.0.0 multidict==5.0.2 multipledispatch==0.6.0 navigator-updater==0.2.1 nbconvert==5.6.0 nbformat==4.4.0 networkx @ file:///tmp/build/80754af9/networkx_1594377231366/work nltk @ file:///tmp/build/80754af9/nltk_1592496090529/work node==0.9.25 nose==1.3.7 notebook==6.0.1 numba==0.49.1 numexpr==2.7.1 numpy==1.18.5 numpydoc @ file:///tmp/build/80754af9/numpydoc_1594166760263/work oauthlib==3.1.0 odict==1.7.0 olefile==0.46 openpyxl @ file:///tmp/build/80754af9/openpyxl_1594167385094/work packaging==20.4 pandas @ file:///C:/ci/pandas_1592841744841/work pandocfilters==1.4.2 paramiko==2.7.1 parso==0.5.1 partd==1.1.0 path==13.1.0 pathlib2==2.3.5 pathtools==0.1.2 patsy==0.5.1 pep8==1.7.1 pexpect==4.7.0 pickleshare==0.7.5 Pillow @ file:///C:/ci/pillow_1594304973959/work pipenv==2020.11.15 pkginfo==1.5.0.1 pluggy==0.6.0 plumber==1.6 ply==3.11 prometheus-client==0.7.1 prompt-toolkit==2.0.10 psutil==5.7.0 psycopg2==2.8.6 ptyprocess==0.6.0 py==1.8.0 pyasn1==0.4.8 pyasn1-modules==0.2.8 pycodestyle==2.5.0 pycosat==0.6.3 pycparser==2.19 pycurl==7.43.0.5 pydocstyle @ file:///tmp/build/80754af9/pydocstyle_1592848020240/work pyflakes==2.1.1 pygame==2.0.1 Pygments==2.4.2 PyHamcrest==2.0.2 PyJWT==1.7.1 pylint==2.6.0 pymongo==3.7.2 PyNaCl @ file:///C:/ci/pynacl_1595009196976/work pyodbc===4.0.0-unsupported pyOpenSSL @ file:///tmp/build/80754af9/pyopenssl_1594392929924/work pyparsing==2.4.7 PyQt5==5.15.2 PyQt5-sip==12.8.1 pyreadline==2.1 pyrsistent==0.15.4 PySocks==1.7.1 pytest==3.3.0 pytest-flask==0.11.0 python-dateutil==2.8.0 python-decouple==3.4 python-jsonrpc-server @ file:///tmp/build/80754af9/python-jsonrpc-server_1594397536060/work python-language-server @ file:///C:/ci/python-language-server_1594154480810/work python-mimeparse==1.6.0 python3-openid==3.2.0 pytz==2020.1 PyWavelets==1.1.1 pywin32==227 pywin32-ctypes==0.2.0 pywinpty==0.5.7 PyYAML==5.3.1 pyzmq @ file:///C:/Users/Rashidov/Desktop/mflix-python/pyzmq-22.0.3-cp38-cp38-win32.whl QDarkStyle==2.8.1 QtAwesome==0.7.2 qtconsole==4.5.5 QtPy==1.9.0 redis==3.5.3 regex @ file:///C:/ci/regex_1593435678736/work requests @ file:///tmp/build/80754af9/requests_1592841827918/work requests-oauthlib==1.3.0 rope==0.17.0 Rtree==0.9.4 ruamel-yaml==0.15.87 scikit-image==0.16.2 scikit-learn @ file:///C:/ci/scikit-learn_1592863447244/work scipy @ file:///C:/ci/scipy_1592916961137/work seaborn==0.10.1 selenium==3.141.0 Send2Trash==1.5.0 service-identity==18.1.0 simplegeneric==0.8.1 simplejson==3.17.2 singledispatch==3.4.0.3 sip==4.19.13 six==1.12.0 snowballstemmer==2.0.0 sortedcollections==1.2.1 sortedcontainers==2.2.2 soupsieve==2.0.1 Sphinx @ file:///tmp/build/80754af9/sphinx_1594223420021/work sphinxcontrib-applehelp==1.0.2 sphinxcontrib-devhelp==1.0.2 sphinxcontrib-htmlhelp==1.0.3 sphinxcontrib-jsmath==1.0.1 sphinxcontrib-qthelp==1.0.3 sphinxcontrib-serializinghtml==1.1.4 sphinxcontrib-websupport @ file:///tmp/build/80754af9/sphinxcontrib-websupport_1593446360927/work spyder @ file:///C:/ci/spyder_1594820234642/work spyder-kernels @ file:///C:/ci/spyder-kernels_1594744028846/work SQLAlchemy @ file:///C:/ci/sqlalchemy_1593446777599/work sqlparse==0.4.1 statsmodels==0.11.1 sympy @ file:///C:/ci/sympy_1594234724630/work tables==3.6.1 tblib==1.6.0 telepot==12.7 terminado==0.8.3 testpath==0.4.2 text-unidecode==1.2 textblob==0.15.3 threadpoolctl @ file:///tmp/tmp9twdgx9k/threadpoolctl-2.1.0-py3-none-any.whl toml==0.10.2 toolz==0.10.0 tornado==6.0.3 tqdm @ file:///tmp/build/80754af9/tqdm_1593446365756/work traitlets==4.3.3 Twisted @ file:///C:/Users/Rashidov/Desktop/chat_app/Twisted-20.3.0-cp38-cp38-win32.whl txaio==21.2.1 typing-extensions @ file:///tmp/build/80754af9/typing_extensions_1592847887441/work ujson==1.35 unicodecsv==0.14.1 urllib3==1.25.9 virtualenv==20.3.0 virtualenv-clone==0.5.4 watchdog @ file:///C:/ci/watchdog_1593447396356/work wcwidth==0.1.7 web.py==0.62 webencodings==0.5.1 Werkzeug==0.16.0 whitenoise==5.2.0 widgetsnbextension==3.5.1 win-inet-pton==1.1.0 win-unicode-console==0.5 wincertstore==0.2 wrapt==1.12.1 xlrd==1.2.0 XlsxWriter==1.2.9 xlwings==0.19.5 xlwt==1.3.0 xmltodict==0.12.0 yapf @ file:///tmp/build/80754af9/yapf_1593528177422/work yarl==1.6.3 zict==2.0.0 zipp==0.6.0 zope.component==4.6.2 zope.deferredimport==4.3.1 zope.deprecation==4.4.0 zope.event==4.4 zope.hookable==5.0.1 zope.interface==4.7.1 zope.lifecycleevent==4.3 zope.proxy==4.3.5
ANSWER
Answered 2021-Mar-17 at 23:14Check out this Snakefood
Especially the command sfood-imports which finds and lists import statements in python project
So it is not depended on your env but rather on the code that you wrote
QUESTION
I run the following line of code on a Docker container:
...ANSWER
Answered 2020-Dec-01 at 13:40Your problem is here:
QUESTION
I have a number of Python 3.7 apps on Google App Engine standard, all building and deploying fine. I'm trying to upgrade some of them to the new Python 3.8 runtime, but when I try to deploy, they fail in Cloud Build.
It looks like they're hitting this open pip bug (more background). Odd that only the Python 3.8 runtime triggers this bug, though, and 3.7 builds fine.
Full log below. (Note that it's happening in Cloud Build, not my local machine, so I can't upgrade pip or otherwise change any of the commands or environment.) Anyone know how I can fix or work around this?
...ANSWER
Answered 2020-Aug-22 at 16:54I checked pypi page of oauth-dropins (at which it is failing) and they're mentioning there exactly this issue being caused by -e
QUESTION
I am trying to run my pytest (bdd) test cases in virtualenv. I have created a requirements.txt (using pip freeze) file in the root folder as below.
...ANSWER
Answered 2020-Jul-28 at 11:02There's an open issue with pytest-yield
that prevents it to work with latest pytest
version (5.1 and up): #6. This means that you have either to downgrade to an older version of pytest
:
QUESTION
I had a working DjangoCMS application running DjangoCMS 3.7.1 and Django 2.2, however after I just bumped the DjangoCMS version to 3.7.2 and with it, Django to 3.0.1, I am now getting a render error on a page that I have a simple list view.
The site will load my custom account login page just fine, but once logged in, the listview breaks and displays this error: Traceback
...ANSWER
Answered 2020-Apr-27 at 13:38I ran into the same issue upgrading DjangoCMS to 3.7.2. I believe the context argument was removed in Django 3 (source). The problem for me was djangocms-text-ckeditor doesn't support Django 3 yet. More specifically, HTMLField in my model didn't work. I opened an issue here if you want to comment on it as others have done. Maybe it will get them to fix it sooner. For now, you will probably have to wait till it's fixed. Cheers!
QUESTION
My python project runs on a conda virtual environment. I install packages on the environment with conda install
whenever that package is available for installing that way, otherwise, I install it with pip install
.
To make the project installation easier for other developers, I export the list of packages that are used on the conda environment to a file: conda env export > conda_environment_export.yml
.
However, since a while, the package export does no longer contain the packages installed by pip.
What can I do to make pip packages appear again in the export?
My conda export file as it was some weeks ago:
...ANSWER
Answered 2018-May-11 at 16:09If you have installed pip
with anaconda
and used it to install the packages then conda-env
does this automatically.
So basically you can export your environment with
conda env export -n > environment.yml
Otherwise
Please refer to this link
QUESTION
I am currently receiving emails from Amazon SES, which I store on Amazon S3. Then I have a program (written in Java) which retrieve emails from S3, parse them and do a specific action based on the recipient's name.
The issueWhen an email is sent to 2 recipients (let's say A@mydomain.com and B@mydomain.com), Amazon SES receive 2 emails and store both of them in S3.
Both emails are identical (except for some custom headers set by my email client).
My Java program retrieve 2 emails from S3 but I can't determine for whom each email is intended, as both email addresses are present in the "TO" header of both emails.
What I foundAmazon SES store the MIME Message in S3
Based on the Internet Message Format RFC, MIME Message contains the full list of recipients, but not the actual recipient. I guess this information is not part of the Mime Message, but part of the protocol.
It means that:
- Amazon SES must know the recipient
- Once the mail is stored in S3, this information is lost.
Based on the fact that this analyze is correct (which might not be), I wanted to use Amazon Lambda expressions to retrieve the protocols information and store them as metadata of the email in S3. However, I cannot find a way to retrieve the protocols informations.
Any idea?Does someone has any idea how to achieve this? It would be nice if I could get the recipient's email address of each email from a Lambda expression, but I didn't found a lot of references about this.
Maybe my interpretation of how this work (the email protocol / process) is completely wrong and someone could give me some explanation! :D
Some code to go with itI found some code displaying the information we have if we do a lambda function at the SES level, but I didn't find the information I needed there.
https://gist.github.com/gonfva/b249f76893165bf5a8d1
The S3Object also contains some Metadata but they don't seem to be useful.
Bellow is the Java code I use to retrieve emails from Amazon.
...ANSWER
Answered 2018-Feb-22 at 20:12The recipients as they may be suggested by To:
and Cc:
mail headers are irrelevant, as those are not actually used for delivery (and in the case of BCC, the recipient should definitely not appear there).
You should find that SES adds the actual envelope recipient (which is what you are looking for) in the first Received:
header from the top.
QUESTION
I am trying to read a simple request body with JSON data.
The request body:
...ANSWER
Answered 2018-Feb-20 at 17:24The behavior happens because your
QUESTION
I want to download text and html parts from mime message and store it in the database and later if needed to download attachments. I need this because I don't want to store the attachments in my database to save disk space and bandwidth. They will be downloaded on demand later. I am not sure if I can do that and still be able to use MimeParser from MimeKit
I am planning to do that:
- Get message body structure and find the text and html parts
- Download text and html body parts using ImapFolder.GetStream and store in database preserving mime tree structure by saving section names along with headers. Attachment will not be downloaded
Later I want to show the message in the UI but I want to delay parsing until the mail message needs to be shown in the UI.
This is my progress so far
...ANSWER
Answered 2017-Dec-05 at 03:12Well, first of all, have you tried:
QUESTION
I am writing this code in Vala, using Camel
...ANSWER
Answered 2017-Sep-14 at 09:21I found the solution. The vapi file is wrong because the cname field is missing. Changing the vapi file adding this cname="camel_mime_parser_state_t":
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install mimeparse
You can use mimeparse like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the mimeparse component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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