A queue service for quickly running scripts sequentially to use all your CPUs efficiently
Project description
Inspired with code from https://github.com/fastai/fastgpu
fastcpu
A queue service for quickly developing scripts that use all your CPUs efficiently
PULL REQUESTS WELCOME!
fastcpu provides a single command, fastcpu_poll, which polls a directory to check for scripts to run, and then runs them on the first available CPU. If no CPUs are available, it waits until one is. If more than one CPU is available, multiple scripts are run in parallel, one per CPU. (Note currently the CPU load checking is not implemented, the scripts are run sequentially at polling interval)
Installation
pip install fastcpu
How to use
--help provides command help:
$ fastgpu_poll --help
optional arguments:
-h, --help show this help message and exit
--path PATH Path containing `to_run` directory (default: .)
--exit_when_empty EXIT_WHEN_EMPTY Exit when `to_run` is empty (default: 1)
--poll_interval POLL_INTERVAL The duration between polls (default: 0.1)
If installed via pip there is a handy command line method available
fastcpu_poll --path /path/to/scripts --exit_when_empty 0 --poll_interval 60
If running as a module
python -m fastcpu.cliu --path /path/to/scripts --exit_when_empty 0 --poll_interval 60
The above examples will run scrips located in the to_run subdirectory of the directory being monitored The program will not exit when there are no scripts left to run, it will keep polling since we set that to 0 the polling interval is 60 seconds, it can be set as fractions of a second e.g 0.1
once the program starts it creates the following directory structure. you can then your scripts in the to_run folder, and the scrips are run sequentially
.
├── complete
├── fail
├── out
├── running
└── to_run
├── script_example1.sh
└── script_example2.sh
fastcpu_poll
will run each script in to_run
in sorted order.
Each script will be assigned to one CPU (future)
Once a script is selected to be run, it is moved into a directory called running
. Once it's finished,
it's moved into complete or fail as appropriate. stdout and stderr are captured to files with the same name as the script,
plus stdout or stderr appended.
If exit_when_empty is 1 (which is the default), then once all scripts are run, fastcpu_poll
will exit.
If it is 0 then fastcpu_poll
will continue running until it is killed; it will keep polling for any new scripts that are added to to_run
.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file fastcpu-1.0.3.tar.gz
.
File metadata
- Download URL: fastcpu-1.0.3.tar.gz
- Upload date:
- Size: 5.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.58.0 CPython/3.8.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 09f5a8a6b6a0e139e3d45c695b97b959045768d7c842812b3643f7e81b157834 |
|
MD5 | 0c69e007bf9a2e24d179afdfadd38867 |
|
BLAKE2b-256 | f6f30cfea9a227c070ae99a85469d5935f9e7531a9c49ab70bf597b164cab5dd |
File details
Details for the file fastcpu-1.0.3-py3-none-any.whl
.
File metadata
- Download URL: fastcpu-1.0.3-py3-none-any.whl
- Upload date:
- Size: 6.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.58.0 CPython/3.8.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4df951fa0d5c6c650b90013360d97b183fbad6c688034be51097224c978c8288 |
|
MD5 | c35b25ef29c0c92b92ff4df43dd52e54 |
|
BLAKE2b-256 | 86e0b1011348a9515252cf5653787e19297cfd741da7bf44cc504b60774eaf2f |