Home  >  Article  >  Backend Development  >  How to quickly generate requests.txt for this project in Python

How to quickly generate requests.txt for this project in Python

PHPz
PHPzforward
2023-05-13 13:55:062022browse

In Python projects, we usually need to use many third-party libraries to provide additional functions and tools. However, it is not a good practice to upload these libraries directly to the Git repository, because it will make the code base too bloated and difficult to manage. Additionally, sometimes you need to install specific versions of dependencies when deploying your application.

At this time, you can use the requirements.txt file to manage the dependencies required by the project. This file lists all the dependencies required by the project along with their version numbers, making it easy for others to install and run all the dependencies required for the project. Reading this file using the pip command automatically downloads and installs all listed dependencies, which greatly simplifies the project startup/deployment process.

Therefore, generating the requirements.txt file is very important for managing the dependencies of Python projects, which can ensure the reproducibility, portability and maintainability of the project.

How to quickly generate requests.txt for this project in Python

1. Use pipreqs to generate requests.txt

Open a terminal in the project root directory and run the following command to install pipreqs:

pip install pipreqs

Run the following command to generate the requirements.txt file:

pipreqs . --encoding=utf8 --force

Among them, . represents the current directory, –encoding=utf8 specifies the encoding as UTF-8, and the –force option forces overwriting of the existing requirements.txt document.

Wait until the execution is completed, and you can see the generated requirements.txt file in the project root directory.

How to quickly generate requests.txt for this project in Python

2. Using pip

To use pip to generate the requirements.txt file for the current Python project, please follow the steps below:

1. Make sure you have installed pip and virtual environment.

2. Open the terminal in the virtual environment and enter the root directory of the project.

3. Run the following command to generate a requirements.txt file containing all dependencies:

pip freeze > requirements.txt

After execution, you can Below you will see a text file named requirements.txt, which contains all dependencies and their version numbers.

How to quickly generate requests.txt for this project in Python

It should be noted that the pip freeze command will output all installed packages and their version information to the console. The requirements.txt file can be generated by writing the output results to a file using the redirection symbol >. However, this file may contain some unnecessary dependencies, such as libraries and test tools that come with the system. Therefore, when using the generated requirements.txt file, it is recommended to manually check and delete unnecessary dependencies to reduce the project size.
The following is the generated requirements.txt file. You can see that many unnecessary dependencies are generated

absl-py==1.0.0
addict==2.4.0
aiohttp==3.7.4.post0
alembic==1.8.1
argon2-cffi @ file:///opt/conda/conda-bld/argon2-cffi_1645000214183/work
argon2-cffi-bindings @ file:///C:/ci/argon2-cffi-bindings_1644569848815/work
astunparse==1.6.3
async-timeout==3.0.1
attrs @ file:///opt/conda/conda-bld/attrs_1642510447205/work
backcall @ file:///home/ktietz/src/ci/backcall_1611930011877/work
beautifulsoup4 @ file:///tmp/build/80754af9/beautifulsoup4_1631874778482/work
bilibili-api==5.1.2
bleach @ file:///opt/conda/conda-bld/bleach_1641577558959/work
blinker==1.5
cachetools==5.0.0
certifi @ file:///C:/b/abs_85o_6fm0se/croot/certifi_1671487778835/work/certifi
cffi @ file:///C:/ci_310/cffi_1642682485096/work
chardet==4.0.0
charset-normalizer==2.0.12
click @ file:///C:/ci/click_1646038601470/work
cloudpickle @ file:///tmp/build/80754af9/cloudpickle_1632508026186/work
colorama @ file:///tmp/build/80754af9/colorama_1607707115595/work
cryptography @ file:///C:/ci/cryptography_1652101770956/work
cycler==0.11.0
cytoolz==0.11.0
dask==1.1.4
debugpy @ file:///C:/ci/debugpy_1637091911212/work
decorator @ file:///opt/conda/conda-bld/decorator_1643638310831/work
defusedxml @ file:///tmp/build/80754af9/defusedxml_1615228127516/work
dnspython==2.3.0
docopt==0.6.2
einops==0.4.1
email-validator==1.3.1
entrypoints==0.3
fastjsonschema @ file:///tmp/build/80754af9/python-fastjsonschema_1620414857593/work/dist
Flask==2.2.3
Flask-Email==1.4.4
Flask-Mail==0.9.1
Flask-Migrate==3.1.0
Flask-Script==2.0.6
Flask-SQLAlchemy @ file:///tmp/build/80754af9/flask-sqlalchemy_1616180561581/work
Flask-WTF==1.1.1
flatbuffers==23.1.21
fonttools==4.30.0
fvcore==0.1.5.post20220305
gast==0.4.0
google-auth==2.6.5
google-auth-oauthlib==0.4.6
google-pasta==0.2.0
greenlet @ file:///C:/ci/greenlet_1628888257991/work
grpcio==1.45.0
grpcio-tools==1.45.0
h6py @ file:///C:/ci/h6py_1659089886851/work
idna==3.3
imagecodecs @ file:///C:/ci/imagecodecs_1635529223557/work
imageio @ file:///tmp/build/80754af9/imageio_1617700267927/work
importlib-metadata @ file:///C:/ci/importlib-metadata_1648562631189/work
importlib-resources==5.9.0
iopath==0.1.9
ipykernel @ file:///C:/ci/ipykernel_1647000985174/work/dist/ipykernel-6.9.1-py3-none-any.whl
ipython @ file:///C:/ci/ipython_1643800131373/work
ipython-genutils @ file:///tmp/build/80754af9/ipython_genutils_1606773439826/work
ipywidgets @ file:///tmp/build/80754af9/ipywidgets_1634143127070/work
itsdangerous @ file:///tmp/build/80754af9/itsdangerous_1621432558163/work
jedi @ file:///C:/ci/jedi_1644297241925/work
Jinja2 @ file:///C:/b/abs_7cdis66kl9/croot/jinja2_1666908141852/work
joblib @ file:///C:/b/abs_e60_bwl1v6/croot/joblib_1666298845728/work
jsonschema @ file:///Users/ktietz/demo/mc3/conda-bld/jsonschema_1630511932244/work
jupyter==1.0.0
jupyter-client @ file:///opt/conda/conda-bld/jupyter_client_1643638337975/work
jupyter-console @ file:///opt/conda/conda-bld/jupyter_console_1647002188872/work
jupyter-core @ file:///C:/ci/jupyter_core_1646976467633/work
jupyterlab-pygments @ file:///tmp/build/80754af9/jupyterlab_pygments_1601490720602/work
jupyterlab-widgets @ file:///tmp/build/80754af9/jupyterlab_widgets_1609884341231/work
keras==2.11.0
kiwisolver @ file:///C:/ci/kiwisolver_1653274189334/work
labelme==3.16.7
libclang==15.0.6.1
loguru @ file:///C:/ci/loguru_1643616607274/work
lxml==4.6.5
Mako==1.2.2
Markdown==3.3.6
MarkupSafe @ file:///C:/ci/markupsafe_1654508076077/work
matplotlib==3.5.1
matplotlib-inline @ file:///tmp/build/80754af9/matplotlib-inline_1628242447089/work
mistune @ file:///C:/ci/mistune_1594373272338/work
mkl-fft==1.3.1
mkl-random @ file:///C:/ci/mkl_random_1626186163140/work
mkl-service==2.4.0
mmcv==1.6.2
multidict==6.0.2
nbclient @ file:///tmp/build/80754af9/nbclient_1645431659072/work
nbconvert @ file:///C:/ci/nbconvert_1649759177374/work
nbformat @ file:///C:/ci/nbformat_1649845122517/work
nest-asyncio @ file:///C:/ci/nest-asyncio_1649848126026/work
networkx==2.2
notebook @ file:///C:/ci/notebook_1645002740769/work
numpy @ file:///C:/ci/numpy_and_numpy_base_1649782933444/work
oauthlib==3.2.0
opencv-python==4.5.5.64
openslide-python==1.2.0
opt-einsum==3.3.0
packaging @ file:///tmp/build/80754af9/packaging_1637314298585/work
pandas==1.3.5
pandocfilters @ file:///opt/conda/conda-bld/pandocfilters_1643405455980/work
parso @ file:///opt/conda/conda-bld/parso_1641458642106/work
pickleshare @ file:///tmp/build/80754af9/pickleshare_1606932040724/work
Pillow==9.0.1
pipreqs==0.4.11
portalocker==2.4.0
prettytable==3.3.0
prometheus-client @ file:///opt/conda/conda-bld/prometheus_client_1643788673601/work
prompt-toolkit @ file:///tmp/build/80754af9/prompt-toolkit_1633440160888/work
protobuf==3.19.6
pyasn1==0.4.8
pyasn1-modules==0.2.8
pycparser @ file:///tmp/build/80754af9/pycparser_1636541352034/work
pyecharts==1.9.1
pygame==2.2.0
Pygments @ file:///opt/conda/conda-bld/pygments_1644249106324/work
PyMySQL @ file:///C:/ci/pymysql_1610464946597/work
pyparsing==3.0.7
PyQt5-Qt5==5.15.2
PyQt5-sip==12.9.1
pyrsistent @ file:///C:/ci/pyrsistent_1636093257833/work
pytesseract==0.3.10
python-dateutil @ file:///tmp/build/80754af9/python-dateutil_1626374649649/work
pytz @ file:///C:/Windows/TEMP/abs_90eacd4e-8eff-491e-b26e-f707eba2cbe1ujvbhqz1/croots/recipe/pytz_1654762631027/work
PyWavelets @ file:///C:/ci/pywavelets_1648728036674/work
pywin32==302
pywinpty @ file:///C:/ci_310/pywinpty_1644230983541/work/target/wheels/pywinpty-2.0.2-cp37-none-win_amd64.whl
PyYAML==6.0
pyzmq @ file:///C:/ci/pyzmq_1638435182681/work
qtconsole @ file:///opt/conda/conda-bld/qtconsole_1649078897110/work
QtPy @ file:///opt/conda/conda-bld/qtpy_1649073884068/work
regex==2022.10.31
requests==2.27.1
requests-oauthlib==1.3.1
rsa==4.8
scikit-image @ file:///C:/ci/scikit-image_1648196140109/work
scikit-learn @ file:///C:/ci/scikit-learn_1642599122269/work
scipy @ file:///C:/ci/scipy_1641555141383/work
seaborn==0.11.2
Send2Trash @ file:///tmp/build/80754af9/send2trash_1632406701022/work
sip==4.19.13
six @ file:///tmp/build/80754af9/six_1644875935023/work
soupsieve @ file:///tmp/build/80754af9/soupsieve_1636706018808/work
SQLAlchemy @ file:///C:/Windows/Temp/abs_f8661157-660b-49bb-a790-69ab9f3b8f7c8a8s2psb/croots/recipe/sqlalchemy_1657867864564/work
tabulate==0.8.9
tensorboard==2.11.2
tensorboard-data-server==0.6.1
tensorboard-plugin-wit==1.8.1
tensorflow==2.11.0
tensorflow-estimator==2.11.0
tensorflow-intel==2.11.0
tensorflow-io-gcs-filesystem==0.31.0
termcolor==1.1.0
terminado @ file:///C:/ci/terminado_1644322782754/work
testpath @ file:///tmp/build/80754af9/testpath_1624638946665/work
thop==0.0.31.post2005241907
threadpoolctl @ file:///Users/ktietz/demo/mc3/conda-bld/threadpoolctl_1629802263681/work
tifffile @ file:///tmp/build/80754af9/tifffile_1627275862826/work
timm==0.6.7
toolz @ file:///tmp/build/80754af9/toolz_1636545406491/work
torch==1.9.1+cu102
torchaudio==0.9.1
torchmetrics==0.9.3
torchstat==0.0.7
torchvision==0.10.1+cu102
tornado @ file:///C:/ci/tornado_1606935947090/work
tqdm==4.63.0
traitlets @ file:///tmp/build/80754af9/traitlets_1636710298902/work
typing_extensions @ file:///opt/conda/conda-bld/typing_extensions_1647553014482/work
urllib3==1.26.9
wcwidth @ file:///Users/ktietz/demo/mc3/conda-bld/wcwidth_1629357192024/work
webencodings==0.5.1
Werkzeug==2.2.3
widgetsnbextension @ file:///C:/ci/widgetsnbextension_1645009553925/work
win32-setctime @ file:///home/tkoch/Workspace/win32_setctime/win32_setctime_1643630045199/work
wincertstore==0.2
wrapt==1.15.0
WTForms==3.0.1
xlwt==1.3.0
yacs==0.1.8
yapf==0.32.0
yarg==0.1.9
yarl==1.7.2
zipp @ file:///C:/ci/zipp_1652274072582/work

The above is the detailed content of How to quickly generate requests.txt for this project in Python. For more information, please follow other related articles on the PHP Chinese website!

Statement:
This article is reproduced at:yisu.com. If there is any infringement, please contact admin@php.cn delete