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توضیحات

Stream archiver/proxy

ویژگی	مقدار
سیستم عامل	-
نام فایل	fpx-0.4.8
نام	fpx
نسخه کتابخانه	0.4.8
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	Sergey Motornyuk
ایمیل نویسنده	-
آدرس صفحه اصلی	https://github.com/DataShades/fpx
آدرس اینترنتی	https://pypi.org/project/fpx/
مجوز	AGPL

# FPX Standalone service for collecting content from multiple source into single file. Typical usecase is downloading multiple files as archive using single link. Internally FPX fetches content from the specified set of URLs and streams zip-compressed stream to the end users. # Requirements * Python v3.8 or newer * DB driver. If you are using SQLite, no extra modules required. For other providers, install corresponding SQLAlchemy adapter. For example, if you are using PostgreSQL, install `psycopg2`: ```sh pip install psycopg2 ``` FPX has a set of predefined lists of dependencies for providers that were tested on development stage. You can just install all the required dependencies using package extra, when installing FPX itself: ```sh pip install 'fpx[postgresql]' ``` Supported options are: * `postgresql` # Installation 1. Install `fpx` package. ```sh pip install fpx ``` # Usage # Complete Installation Guide (AmazonLinux) 1. Install Python 3.8 or newer using `pyenv`: ```sh # install build dependencies sudo yum install -y openssl-devel readline-devel zlib-devel bzip2-devel libffi-devel # install `pyenv` git clone https://github.com/pyenv/pyenv.git ~/.pyenv # this require `chmod +x $HOME` if you are going to use different user for running services with installed python executable echo 'export PYENV_ROOT="$HOME/.pyenv"' >> ~/.bash_profile echo 'export PATH="$PYENV_ROOT/bin:$PATH"' >> ~/.bash_profile echo -e 'if command -v pyenv 1>/dev/null 2>&1; then\n eval "$(pyenv init -)"\nfi' >> ~/.bash_profile # install python pyenv install 3.8.2 ``` 1. Create virtual environment for FPX and install it: ```sh pyenv shell 3.8.2 cd ~/.virtualenvs python -m venv fpx cd fpx source bin/activate pip install 'fpx~=0.4.0' ``` 1. Create config file. It can be created anywhere, as long as it accessible by FPX service: ```sh echo ' PORT = 12321 # DB is not used much, so SQLite can be used as long as you are going to use single instance of FPX service. If you planning to use multiple instances + load balancer, consider using PostgreSQL DB_URL = "sqlite:////home/user/.virtualenvs/fpx/fpx.db" # Any other options passed directly to the SQLAlchemy engine constructor(https://docs.sqlalchemy.org/en/13/core/engines.html#sqlalchemy.create_engine) DB_EXTRAS = { # "pool_size": 10, # "max_overflow": 20, } ' > /etc/fpx/fpx.py ``` 1. Initialize database and create access token for client: ```sh export FPX_CONFIG=/etc/fpx/fpx.py fpx db up fpx client add my-first-fpx-client # use any name, that match `[\w_-]` ``` Make sure, db is accessible and writable by FPX service. This manual suggests using `apache` user when configuring supervisor's process, so following command required: ```sh chown apache:apache /home/user/.virtualenvs/fpx/fpx.db ``` 1. Test service: ```sh FPX_CONFIG=/etc/fpx/fpx.py fpx server run # or, if you want to explicitely use python interpreter FPX_CONFIG=/etc/fpx/fpx.py python -m fpx ``` 1. Configure system.d/supervisor/etc. unit for fpx. Make sure, that `fpx server run` command, that spins up the service is executed using python>=3.6 (`pyenv shell 3.8.2`). And, if SQLite is used, fpx process has write access to db file: ```ini [program:fpx-worker] ; Use the full paths to the virtualenv and your configuration file here. command=/home/user/.virtualenv/fpx/bin/python -m fpx environment=FPX_CONFIG=/etc/fpx/fpx.py ; User the worker runs as. user=apache ; Start just a single worker. Increase this number if you have many or ; particularly long running background jobs. numprocs=1 process_name=%(program_name)s-%(process_num)02d ; Log files. stdout_logfile=/var/log/fpx-worker.log stderr_logfile=/var/log/fpx-worker.log ; Make sure that the worker is started on system start and automatically ; restarted if it crashes unexpectedly. autostart=true autorestart=true ; Number of seconds the process has to run before it is considered to have ; started successfully. startsecs=10 ; Need to wait for currently executing tasks to finish at shutdown. ; Increase this if you have very long running tasks. stopwaitsecs = 600 ``` 1. FPX service must be available via public url. As written in [documentation](https://sanic.readthedocs.io/en/latest/sanic/deploying.html#deploying), no additional layers required. But if you decide to use it with Nginx, the [following link](https://sanic.readthedocs.io/en/latest/sanic/nginx.html#nginx-configuration) may be useful. Note, if `FPX_NO_QUEUE` set to `False`, FPX is using websockets (if it can somehow affect configuration). Example of Nginx section for FPX: ```conf location /fpx/ { proxy_pass http://127.0.0.1:12321/; proxy_set_header X-Forwarded-For $remote_addr; proxy_set_header Host $host; proxy_http_version 1.1; proxy_request_buffering off; proxy_buffering off; # When FPX_NO_QUEUE option set to `False` proxy_set_header connection "upgrade"; proxy_set_header upgrade $http_upgrade; # In emergency comment out line to force caching # proxy_ignore_headers X-Accel-Expires Expires Cache-Control; } ``` Example of apache configuration: ```cond # mod_proxy # mod_proxy_http ProxyPass /fpx/ http://0.0.0.0:8000/ ProxyPassReverse /fpx/ http://0.0.0.0:8000/ # When FPX_NO_QUEUE option set to `False` # mod_proxy_wstunnel # mod_rewrite RewriteEngine on RewriteCond %{HTTP:UPGRADE} ^WebSocket$ [NC] RewriteCond %{HTTP:CONNECTION} ^Upgrade$ [NC] RewriteRule /fpx/(.*) ws://0.0.0.0:8000/$1 [P] ```

نیازمندی

مقدار	نام
-	typing-extensions
~=22.6.0	sanic[ext]
==0.3.2	asyncblink
~=1.4.0	sqlalchemy
~=1.4.0	alembic
~=3.8.0	aiohttp[speedups]
-	click
~=2.2.0	webargs-sanic
-	pyjwt
<11.0,>=10.0	websockets
-	psycopg2
~=22.6.0	sanic-testing
-	pytest
-	pytest-asyncio
-	factory-boy
-	pytest-factoryboy
-	aioresponses

زبان مورد نیاز

مقدار	نام
>=3.8	Python

نحوه نصب

نصب پکیج whl fpx-0.4.8:

pip install fpx-0.4.8.whl

نصب پکیج tar.gz fpx-0.4.8:

pip install fpx-0.4.8.tar.gz