From 9119dcf1d8a221175bf6574f7fe9c6dabfbe0dae Mon Sep 17 00:00:00 2001 From: CoprDistGit Date: Fri, 5 May 2023 04:52:27 +0000 Subject: automatic import of python-agentmet4fof --- .gitignore | 1 + python-agentmet4fof.spec | 962 +++++++++++++++++++++++++++++++++++++++++++++++ sources | 1 + 3 files changed, 964 insertions(+) create mode 100644 python-agentmet4fof.spec create mode 100644 sources diff --git a/.gitignore b/.gitignore index e69de29..48c1dbf 100644 --- a/.gitignore +++ b/.gitignore @@ -0,0 +1 @@ +/agentMET4FOF-0.13.2.tar.gz diff --git a/python-agentmet4fof.spec b/python-agentmet4fof.spec new file mode 100644 index 0000000..bf3b9be --- /dev/null +++ b/python-agentmet4fof.spec @@ -0,0 +1,962 @@ +%global _empty_manifest_terminate_build 0 +Name: python-agentMET4FOF +Version: 0.13.2 +Release: 1 +Summary: A software package for the integration of metrological input into an agent-based system for the consideration of measurement uncertainty in current industrial manufacturing processes. +License: GNU Lesser General Public License v3 (LGPLv3) +URL: https://github.com/bangxiangyong/agentMET4FOF +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/71/41/fe10c86d99bb09467cd6a39eccfe8c181bda0b918da8777f2533ff358486/agentMET4FOF-0.13.2.tar.gz +BuildArch: noarch + +Requires: python3-numpy +Requires: python3-scipy +Requires: python3-matplotlib +Requires: python3-pandas +Requires: python3-osbrain +Requires: python3-dash +Requires: python3-dash-cytoscape +Requires: python3-networkx +Requires: python3-plotly +Requires: python3-time-series-buffer +Requires: python3-time-series-metadata +Requires: python3-mpld3 +Requires: python3-mesa +Requires: python3-multiprocess +Requires: python3-visdcc +Requires: python3-notebook +Requires: python3-PyDynamic + +%description +agentMET4FOF logo +

+ + CircleCI pipeline + status badge + + + ReadTheDocs badge + + + + CodeCov badge + + + + pypi + + + + PyPI - license badge + + + + DOI + + + Contributor Covenant + + + Docker Hub badge +

+ +# Multi-Agent System for IIoT + +

+agentMET4FOF is an implementation of a multi-agent system for agent-based +analysis and processing of both static data sets and data streams with IIoT +applications in mind. More on the motivation that drives the project can be found +in the section About. +

+ +### Key facts + +- [FOSS project](#contributing) +- allows to + - quickly set up and run a [metrologically enabled multi-agent system](#about) + - [handle both static data sets and online data streams](#tutorials) + - [consider measurement uncertainties as well as metadata with the provided message system](#tutorials) +- [installable as a Python package or ready-to-deploy Docker image](#installation) +- comes bundled with [several introductary and advanced tutorials](#tutorials) +- accompanied by [several use cases with close-to-industry IIoT applications in + our GitHub organisation](https://github.com/Met4FoF?q=agentMET4FOF&type=&language=&sort=) +- comprehensive and ever-growing [documentation](#documentation-and-screencasts) + +## Table of content + +- [💫 Quickstart](#quickstart) +- [💬 About](#about) +- [📈 The agentMET4FOF dashboard](#the-agentmet4fof-dashboard) +- [🤓 Tutorials](#tutorials) +- [📖 Documentation and screencasts](#documentation-and-screencasts) +- [💻 Installation](#installation) +- [🐝 Contributing](#contributing) +- [💨 Coming soon](#coming-soon) +- [🖋 Citation](#citation) +- [💎 Acknowledgement](#acknowledgement) +- [⚠ Disclaimer](#disclaimer) +- [© License](#license) + +## 💫Quickstart + +agentMET4FOF comes bundled with several [tutorials](#tutorials) to get you started +as quick as possible. In your Python console execute the following to run the first +tutorial. + +```python +>>> from agentMET4FOF_tutorials.tutorial_1_generator_agent import demonstrate_generator_agent_use +>>> generator_agent_network = demonstrate_generator_agent_use() +``` + +```shell +Starting NameServer... +Broadcast server running on 0.0.0.0:9091 +NS running on 127.0.0.1:3333 (127.0.0.1) +URI = PYRO:Pyro.NameServer@127.0.0.1:3333 + +|----------------------------------------------------------| +| | +| Your agent network is starting up. Open your browser and | +| visit the agentMET4FOF dashboard on http://0.0.0.0:8050/ | +| | +|----------------------------------------------------------| + +INFO [2021-02-05 18:12:52.277759] (SineGeneratorAgent_1): INITIALIZED +INFO [2021-02-05 18:12:52.302862] (MonitorAgent_1): INITIALIZED +[2021-02-05 18:12:52.324078] (SineGeneratorAgent_1): Connected output module: MonitorAgent_1 +SET STATE: Running +[...] +``` +```python +>>> generator_agent_network.shutdown() +0 +NS shut down. +``` + + +## 💬About + +

+Sensor deployments in industrial applications usually form networks in all sorts of +environments. This requires a flexible framework for the implementation of the +corresponding data analysis. An excellent way to represent such networks is a +multi-agent system (MAS), where independent software modules (agents) encapsulate +properties and functionalities. agentMET4FOF is an interactive and flexible open-source +implementation of such a MAS. The software engineering process is driven by several +industry-oriented use cases with the aim of enabling IIoT applications. This leads +to a framework that is specialized in representing heterogeneous sensor networks. +

+

+A special emphasis is put on supporting metrological treatment of sensor streaming +data. This includes the consideration of measurement uncertainties during data analysis +and processing as well as propagating metadata alongside the data itself. +

+

+One of the many questions that drive us in the project is: +

+

+

+ How can metrological input be incorporated into an agent-based system for addressing + uncertainty of machine learning in future manufacturing? +
+ +### Features + +Some notable features of agentMET4FOF include : + +- Modular agent classes for metrological data streams and analytics +- A built-in buffering mechanism to decouple transmission, processing and visualization + of data +- Easy connection among software agents to send and receive data +- Choose backends between: + - [_Osbrain_](https://osbrain.readthedocs.io/en/stable/) for simulating as well as + handling real distributed systems running Python connected via a TCP network, and + - [_Mesa_](https://mesa.readthedocs.io/en/stable/) for local simulations of + distributed systems, debugging and more high-performance execution +- Interactive and customisable dashboard from the get-go to: + - Visualize and change agent-network topologies + - Visualize groups of cooperative agents as _Coalitions_ + - View and change the agents' parameters + - View the agents' outputs as plotly or matplotlib plots or generate and embed your + own images +- Generic streams and agents that can be used as starting points in simulations + - A sine generator with an associated agent + - A generator for a sine signal with jitter dynamically or with fixed length + - A white noise agent + - A metrologically enabled sine generator agent which also handles measurement uncertainties + +## 📈The agentMET4FOF dashboard + +agentMET4FOF comes bundled with our so called _dashboard_. It is an optional component +of every agent network and provides a web browser based view. You can +observe the state of your agents, modify the connections between them and even add +more pre-made agents to your network all during run-time. The address to your +dashboard is printed to the console on every launch of an agent network. + +The following image is close to what you will find in your browser on execution of +tutorial 2. For details on the tutorials visit our +[video tutorial series](#video-tutorial-series). + +![](https://raw.githubusercontent.com/Met4FoF/agentMET4FOF/develop/docs/screenshot_met4fof.png) + +## 🤓Tutorials + +As mentioned above, agentMET4FOF comes bundled with several [tutorials +](https://agentmet4fof.readthedocs.io/en/latest/tutorials.html) to +get you started as quick as possible. You will find tutorials on how to set up: + +- [a simple pipeline to plot a signal](https://agentmet4fof.readthedocs.io/en/latest/agentMET4FOF_tutorials/tutorial_1_generator_agent.html) +- [a simple pipeline with signal postprocessing](https://agentmet4fof.readthedocs.io/en/latest/agentMET4FOF_tutorials/tutorial_2_math_agent.html) +- [an advanced pipeline with multichannel signals](https://agentmet4fof.readthedocs.io/en/latest/agentMET4FOF_tutorials/tutorial_3_multi_channel.html) +- [a simple metrological datastream](https://agentmet4fof.readthedocs.io/en/latest/agentMET4FOF_tutorials/tutorial_4_metrological_streams.html) +- [pipelines to determine redundancy in sensor networks](https://agentmet4fof.readthedocs.io/en/latest/tutorials.html#working-with-signals-carrying-redundant-information) +- [a pipeline to reduce noise and jitter in sensor readings](https://agentmet4fof.readthedocs.io/en/latest/tutorials.html#reducing-noise-and-jitter-in-signals) + +… and [more](https://agentmet4fof.readthedocs.io/en/latest/tutorials.html)! + +## 📖Documentation and screencasts + +Extended +[documentation can be found on ReadTheDocs](https://agentmet4fof.readthedocs.io). + +### Screencast series + +Additionally, we provide some +[screencasts based on agentMET4FOF 0.4.1 on the project homepage +](https://www.ptb.de/empir2018/met4fof/information-communication/video-portal/) +in the section _Tutorials for the multi-agent system agentMET4FOF_. +You can self-register on the linked page and get started immediately. The video series +begins with our motivation for creating agentMET4FOF, guide you through the +installation of Python and other recommended software until you execute the tutorials +on your machine. + +### Live online tutorial during early development + +In an early development stage we held a live online tutorial based on +[agentMET4FOF 0.1.0](https://github.com/Met4FoF/agentMET4FOF/releases/0.1.0/) +which you can [download](https://github.com/Met4FoF/agentMET4FOF/releases/download/0.1.0/Met4FoF.MAS.webinar.mp4). + +If questions arise, or you feel something is missing, reach out to +[us](https://github.com/Met4FoF/agentMET4FOF/graphs/contributors). + +## 💻Installation + +There are different ways to run agentMET4FOF. Either: + +1. you [install Python](https://www.python.org/downloads/) and our package + [agentMET4FOF](https://pypi.org/project/agentMET4FOF/) in a virtual Python + environment on your computer, or +2. you [install Docker](https://docs.docker.com/get-docker/), [start agentMET4FOF in + a container](https://agentmet4fof.readthedocs.io/en/latest/INSTALL.html#start-a-container-from-the-image) + and [visit the Jupyter Notebook server and the agentMET4FOF dashboard directly in + your browser](https://agentmet4fof.readthedocs.io/en/latest/INSTALL.html#start-a-container-from-the-image-for-local-use) + or even [deploy it over a proper webserver](https://agentmet4fof.readthedocs.io/en/latest/INSTALL.html#deploy-the-containerized-agents-via-a-webserver). + +In the [video tutorials series](#video-tutorial-series) +we guide you through every step of option 1. More detailed instructions on both +options you can find in the [installation +section of the docs](https://agentmet4fof.readthedocs.io/en/latest/INSTALL.html). + +## 🐝Contributing + +Whenever you are involved with agentMET4FOF, please respect our [Code of Conduct +](https://github.com/Met4FoF/agentMET4FOF/blob/develop/CODE_OF_CONDUCT.md). +If you want to contribute back to the project, after reading our Code of Conduct, +take a look at our open developments in the [project board +](https://github.com/Met4FoF/agentMET4FOF/projects/1), [pull requests +](https://github.com/Met4FoF/agentMET4FOF/pulls) and search [the issues +](https://github.com/Met4FoF/agentMET4FOF/issues). If you find something similar to +your ideas or troubles, let us know by leaving a comment or remark. If you have +something new to tell us, feel free to open a feature request or bug report in the +issues. If you want to contribute code or improve our documentation, please check our +[contributing guide](https://agentmet4fof.readthedocs.io/en/latest/CONTRIBUTING.html). + +## 💨Coming soon + +- Improved handling of metadata +- More advanced signal processing + +For a comprehensive overview of current development activities and upcoming tasks, +take a look at the [project board](https://github.com/Met4FoF/agentMET4FOF/projects/1), +[issues](https://github.com/Met4FoF/agentMET4FOF/issues) and +[pull requests](https://github.com/Met4FoF/agentMET4FOF/pulls). + +## 🖋Citation + +If you publish results obtained with the help of agentMET4FOF, please cite the linked +[![](https://zenodo.org/badge/DOI/10.5281/zenodo.4560343.svg) +](https://doi.org/10.5281/zenodo.4560343). + +## 💎Acknowledgement + +This work was part of the Joint Research Project [Metrology for the Factory of the +Future (Met4FoF), project number 17IND12](https://www.ptb.de/empir2018/met4fof/home/) +of the European Metrology Programme for Innovation and Research (EMPIR). The +[EMPIR](http://msu.euramet.org) is jointly funded by the EMPIR participating +countries within EURAMET and the European Union. + +## ⚠Disclaimer + +This software is developed as a joint effort of several project partners namely: + +- [Institute for Manufacturing of the University of Cambridge (IfM) + ](https://www.ifm.eng.cam.ac.uk/) +- [Physikalisch-Technische Bundesanstalt (PTB)](https://www.ptb.de/) +- [Van Swinden Laboratory (VSL)](https://www.vsl.nl/en/) +- [National Physics Laboratory (NPL)](https://www.npl.co.uk/) + +under the lead of IfM. The software is made available "as is" free of cost. The +authors and their institutions assume no responsibility whatsoever for its use by +other parties, and makes no guarantees, expressed or implied, about its quality, +reliability, safety, suitability or any other characteristic. In no event will the +authors be liable for any direct, indirect or consequential damage arising in +connection with the use of this software. + +## ©License + +agentMET4FOF is distributed under the +[LGPLv3 license](https://github.com/Met4FoF/agentMET4FOF/blob/develop/license.md). + + + + +%package -n python3-agentMET4FOF +Summary: A software package for the integration of metrological input into an agent-based system for the consideration of measurement uncertainty in current industrial manufacturing processes. +Provides: python-agentMET4FOF +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-agentMET4FOF +agentMET4FOF logo +

+ + CircleCI pipeline + status badge + + + ReadTheDocs badge + + + + CodeCov badge + + + + pypi + + + + PyPI - license badge + + + + DOI + + + Contributor Covenant + + + Docker Hub badge +

+ +# Multi-Agent System for IIoT + +

+agentMET4FOF is an implementation of a multi-agent system for agent-based +analysis and processing of both static data sets and data streams with IIoT +applications in mind. More on the motivation that drives the project can be found +in the section About. +

+ +### Key facts + +- [FOSS project](#contributing) +- allows to + - quickly set up and run a [metrologically enabled multi-agent system](#about) + - [handle both static data sets and online data streams](#tutorials) + - [consider measurement uncertainties as well as metadata with the provided message system](#tutorials) +- [installable as a Python package or ready-to-deploy Docker image](#installation) +- comes bundled with [several introductary and advanced tutorials](#tutorials) +- accompanied by [several use cases with close-to-industry IIoT applications in + our GitHub organisation](https://github.com/Met4FoF?q=agentMET4FOF&type=&language=&sort=) +- comprehensive and ever-growing [documentation](#documentation-and-screencasts) + +## Table of content + +- [💫 Quickstart](#quickstart) +- [💬 About](#about) +- [📈 The agentMET4FOF dashboard](#the-agentmet4fof-dashboard) +- [🤓 Tutorials](#tutorials) +- [📖 Documentation and screencasts](#documentation-and-screencasts) +- [💻 Installation](#installation) +- [🐝 Contributing](#contributing) +- [💨 Coming soon](#coming-soon) +- [🖋 Citation](#citation) +- [💎 Acknowledgement](#acknowledgement) +- [⚠ Disclaimer](#disclaimer) +- [© License](#license) + +## 💫Quickstart + +agentMET4FOF comes bundled with several [tutorials](#tutorials) to get you started +as quick as possible. In your Python console execute the following to run the first +tutorial. + +```python +>>> from agentMET4FOF_tutorials.tutorial_1_generator_agent import demonstrate_generator_agent_use +>>> generator_agent_network = demonstrate_generator_agent_use() +``` + +```shell +Starting NameServer... +Broadcast server running on 0.0.0.0:9091 +NS running on 127.0.0.1:3333 (127.0.0.1) +URI = PYRO:Pyro.NameServer@127.0.0.1:3333 + +|----------------------------------------------------------| +| | +| Your agent network is starting up. Open your browser and | +| visit the agentMET4FOF dashboard on http://0.0.0.0:8050/ | +| | +|----------------------------------------------------------| + +INFO [2021-02-05 18:12:52.277759] (SineGeneratorAgent_1): INITIALIZED +INFO [2021-02-05 18:12:52.302862] (MonitorAgent_1): INITIALIZED +[2021-02-05 18:12:52.324078] (SineGeneratorAgent_1): Connected output module: MonitorAgent_1 +SET STATE: Running +[...] +``` +```python +>>> generator_agent_network.shutdown() +0 +NS shut down. +``` + + +## 💬About + +

+Sensor deployments in industrial applications usually form networks in all sorts of +environments. This requires a flexible framework for the implementation of the +corresponding data analysis. An excellent way to represent such networks is a +multi-agent system (MAS), where independent software modules (agents) encapsulate +properties and functionalities. agentMET4FOF is an interactive and flexible open-source +implementation of such a MAS. The software engineering process is driven by several +industry-oriented use cases with the aim of enabling IIoT applications. This leads +to a framework that is specialized in representing heterogeneous sensor networks. +

+

+A special emphasis is put on supporting metrological treatment of sensor streaming +data. This includes the consideration of measurement uncertainties during data analysis +and processing as well as propagating metadata alongside the data itself. +

+

+One of the many questions that drive us in the project is: +

+

+

+ How can metrological input be incorporated into an agent-based system for addressing + uncertainty of machine learning in future manufacturing? +
+ +### Features + +Some notable features of agentMET4FOF include : + +- Modular agent classes for metrological data streams and analytics +- A built-in buffering mechanism to decouple transmission, processing and visualization + of data +- Easy connection among software agents to send and receive data +- Choose backends between: + - [_Osbrain_](https://osbrain.readthedocs.io/en/stable/) for simulating as well as + handling real distributed systems running Python connected via a TCP network, and + - [_Mesa_](https://mesa.readthedocs.io/en/stable/) for local simulations of + distributed systems, debugging and more high-performance execution +- Interactive and customisable dashboard from the get-go to: + - Visualize and change agent-network topologies + - Visualize groups of cooperative agents as _Coalitions_ + - View and change the agents' parameters + - View the agents' outputs as plotly or matplotlib plots or generate and embed your + own images +- Generic streams and agents that can be used as starting points in simulations + - A sine generator with an associated agent + - A generator for a sine signal with jitter dynamically or with fixed length + - A white noise agent + - A metrologically enabled sine generator agent which also handles measurement uncertainties + +## 📈The agentMET4FOF dashboard + +agentMET4FOF comes bundled with our so called _dashboard_. It is an optional component +of every agent network and provides a web browser based view. You can +observe the state of your agents, modify the connections between them and even add +more pre-made agents to your network all during run-time. The address to your +dashboard is printed to the console on every launch of an agent network. + +The following image is close to what you will find in your browser on execution of +tutorial 2. For details on the tutorials visit our +[video tutorial series](#video-tutorial-series). + +![](https://raw.githubusercontent.com/Met4FoF/agentMET4FOF/develop/docs/screenshot_met4fof.png) + +## 🤓Tutorials + +As mentioned above, agentMET4FOF comes bundled with several [tutorials +](https://agentmet4fof.readthedocs.io/en/latest/tutorials.html) to +get you started as quick as possible. You will find tutorials on how to set up: + +- [a simple pipeline to plot a signal](https://agentmet4fof.readthedocs.io/en/latest/agentMET4FOF_tutorials/tutorial_1_generator_agent.html) +- [a simple pipeline with signal postprocessing](https://agentmet4fof.readthedocs.io/en/latest/agentMET4FOF_tutorials/tutorial_2_math_agent.html) +- [an advanced pipeline with multichannel signals](https://agentmet4fof.readthedocs.io/en/latest/agentMET4FOF_tutorials/tutorial_3_multi_channel.html) +- [a simple metrological datastream](https://agentmet4fof.readthedocs.io/en/latest/agentMET4FOF_tutorials/tutorial_4_metrological_streams.html) +- [pipelines to determine redundancy in sensor networks](https://agentmet4fof.readthedocs.io/en/latest/tutorials.html#working-with-signals-carrying-redundant-information) +- [a pipeline to reduce noise and jitter in sensor readings](https://agentmet4fof.readthedocs.io/en/latest/tutorials.html#reducing-noise-and-jitter-in-signals) + +… and [more](https://agentmet4fof.readthedocs.io/en/latest/tutorials.html)! + +## 📖Documentation and screencasts + +Extended +[documentation can be found on ReadTheDocs](https://agentmet4fof.readthedocs.io). + +### Screencast series + +Additionally, we provide some +[screencasts based on agentMET4FOF 0.4.1 on the project homepage +](https://www.ptb.de/empir2018/met4fof/information-communication/video-portal/) +in the section _Tutorials for the multi-agent system agentMET4FOF_. +You can self-register on the linked page and get started immediately. The video series +begins with our motivation for creating agentMET4FOF, guide you through the +installation of Python and other recommended software until you execute the tutorials +on your machine. + +### Live online tutorial during early development + +In an early development stage we held a live online tutorial based on +[agentMET4FOF 0.1.0](https://github.com/Met4FoF/agentMET4FOF/releases/0.1.0/) +which you can [download](https://github.com/Met4FoF/agentMET4FOF/releases/download/0.1.0/Met4FoF.MAS.webinar.mp4). + +If questions arise, or you feel something is missing, reach out to +[us](https://github.com/Met4FoF/agentMET4FOF/graphs/contributors). + +## 💻Installation + +There are different ways to run agentMET4FOF. Either: + +1. you [install Python](https://www.python.org/downloads/) and our package + [agentMET4FOF](https://pypi.org/project/agentMET4FOF/) in a virtual Python + environment on your computer, or +2. you [install Docker](https://docs.docker.com/get-docker/), [start agentMET4FOF in + a container](https://agentmet4fof.readthedocs.io/en/latest/INSTALL.html#start-a-container-from-the-image) + and [visit the Jupyter Notebook server and the agentMET4FOF dashboard directly in + your browser](https://agentmet4fof.readthedocs.io/en/latest/INSTALL.html#start-a-container-from-the-image-for-local-use) + or even [deploy it over a proper webserver](https://agentmet4fof.readthedocs.io/en/latest/INSTALL.html#deploy-the-containerized-agents-via-a-webserver). + +In the [video tutorials series](#video-tutorial-series) +we guide you through every step of option 1. More detailed instructions on both +options you can find in the [installation +section of the docs](https://agentmet4fof.readthedocs.io/en/latest/INSTALL.html). + +## 🐝Contributing + +Whenever you are involved with agentMET4FOF, please respect our [Code of Conduct +](https://github.com/Met4FoF/agentMET4FOF/blob/develop/CODE_OF_CONDUCT.md). +If you want to contribute back to the project, after reading our Code of Conduct, +take a look at our open developments in the [project board +](https://github.com/Met4FoF/agentMET4FOF/projects/1), [pull requests +](https://github.com/Met4FoF/agentMET4FOF/pulls) and search [the issues +](https://github.com/Met4FoF/agentMET4FOF/issues). If you find something similar to +your ideas or troubles, let us know by leaving a comment or remark. If you have +something new to tell us, feel free to open a feature request or bug report in the +issues. If you want to contribute code or improve our documentation, please check our +[contributing guide](https://agentmet4fof.readthedocs.io/en/latest/CONTRIBUTING.html). + +## 💨Coming soon + +- Improved handling of metadata +- More advanced signal processing + +For a comprehensive overview of current development activities and upcoming tasks, +take a look at the [project board](https://github.com/Met4FoF/agentMET4FOF/projects/1), +[issues](https://github.com/Met4FoF/agentMET4FOF/issues) and +[pull requests](https://github.com/Met4FoF/agentMET4FOF/pulls). + +## 🖋Citation + +If you publish results obtained with the help of agentMET4FOF, please cite the linked +[![](https://zenodo.org/badge/DOI/10.5281/zenodo.4560343.svg) +](https://doi.org/10.5281/zenodo.4560343). + +## 💎Acknowledgement + +This work was part of the Joint Research Project [Metrology for the Factory of the +Future (Met4FoF), project number 17IND12](https://www.ptb.de/empir2018/met4fof/home/) +of the European Metrology Programme for Innovation and Research (EMPIR). The +[EMPIR](http://msu.euramet.org) is jointly funded by the EMPIR participating +countries within EURAMET and the European Union. + +## ⚠Disclaimer + +This software is developed as a joint effort of several project partners namely: + +- [Institute for Manufacturing of the University of Cambridge (IfM) + ](https://www.ifm.eng.cam.ac.uk/) +- [Physikalisch-Technische Bundesanstalt (PTB)](https://www.ptb.de/) +- [Van Swinden Laboratory (VSL)](https://www.vsl.nl/en/) +- [National Physics Laboratory (NPL)](https://www.npl.co.uk/) + +under the lead of IfM. The software is made available "as is" free of cost. The +authors and their institutions assume no responsibility whatsoever for its use by +other parties, and makes no guarantees, expressed or implied, about its quality, +reliability, safety, suitability or any other characteristic. In no event will the +authors be liable for any direct, indirect or consequential damage arising in +connection with the use of this software. + +## ©License + +agentMET4FOF is distributed under the +[LGPLv3 license](https://github.com/Met4FoF/agentMET4FOF/blob/develop/license.md). + + + + +%package help +Summary: Development documents and examples for agentMET4FOF +Provides: python3-agentMET4FOF-doc +%description help +agentMET4FOF logo +

+ + CircleCI pipeline + status badge + + + ReadTheDocs badge + + + + CodeCov badge + + + + pypi + + + + PyPI - license badge + + + + DOI + + + Contributor Covenant + + + Docker Hub badge +

+ +# Multi-Agent System for IIoT + +

+agentMET4FOF is an implementation of a multi-agent system for agent-based +analysis and processing of both static data sets and data streams with IIoT +applications in mind. More on the motivation that drives the project can be found +in the section About. +

+ +### Key facts + +- [FOSS project](#contributing) +- allows to + - quickly set up and run a [metrologically enabled multi-agent system](#about) + - [handle both static data sets and online data streams](#tutorials) + - [consider measurement uncertainties as well as metadata with the provided message system](#tutorials) +- [installable as a Python package or ready-to-deploy Docker image](#installation) +- comes bundled with [several introductary and advanced tutorials](#tutorials) +- accompanied by [several use cases with close-to-industry IIoT applications in + our GitHub organisation](https://github.com/Met4FoF?q=agentMET4FOF&type=&language=&sort=) +- comprehensive and ever-growing [documentation](#documentation-and-screencasts) + +## Table of content + +- [💫 Quickstart](#quickstart) +- [💬 About](#about) +- [📈 The agentMET4FOF dashboard](#the-agentmet4fof-dashboard) +- [🤓 Tutorials](#tutorials) +- [📖 Documentation and screencasts](#documentation-and-screencasts) +- [💻 Installation](#installation) +- [🐝 Contributing](#contributing) +- [💨 Coming soon](#coming-soon) +- [🖋 Citation](#citation) +- [💎 Acknowledgement](#acknowledgement) +- [⚠ Disclaimer](#disclaimer) +- [© License](#license) + +## 💫Quickstart + +agentMET4FOF comes bundled with several [tutorials](#tutorials) to get you started +as quick as possible. In your Python console execute the following to run the first +tutorial. + +```python +>>> from agentMET4FOF_tutorials.tutorial_1_generator_agent import demonstrate_generator_agent_use +>>> generator_agent_network = demonstrate_generator_agent_use() +``` + +```shell +Starting NameServer... +Broadcast server running on 0.0.0.0:9091 +NS running on 127.0.0.1:3333 (127.0.0.1) +URI = PYRO:Pyro.NameServer@127.0.0.1:3333 + +|----------------------------------------------------------| +| | +| Your agent network is starting up. Open your browser and | +| visit the agentMET4FOF dashboard on http://0.0.0.0:8050/ | +| | +|----------------------------------------------------------| + +INFO [2021-02-05 18:12:52.277759] (SineGeneratorAgent_1): INITIALIZED +INFO [2021-02-05 18:12:52.302862] (MonitorAgent_1): INITIALIZED +[2021-02-05 18:12:52.324078] (SineGeneratorAgent_1): Connected output module: MonitorAgent_1 +SET STATE: Running +[...] +``` +```python +>>> generator_agent_network.shutdown() +0 +NS shut down. +``` + + +## 💬About + +

+Sensor deployments in industrial applications usually form networks in all sorts of +environments. This requires a flexible framework for the implementation of the +corresponding data analysis. An excellent way to represent such networks is a +multi-agent system (MAS), where independent software modules (agents) encapsulate +properties and functionalities. agentMET4FOF is an interactive and flexible open-source +implementation of such a MAS. The software engineering process is driven by several +industry-oriented use cases with the aim of enabling IIoT applications. This leads +to a framework that is specialized in representing heterogeneous sensor networks. +

+

+A special emphasis is put on supporting metrological treatment of sensor streaming +data. This includes the consideration of measurement uncertainties during data analysis +and processing as well as propagating metadata alongside the data itself. +

+

+One of the many questions that drive us in the project is: +

+

+

+ How can metrological input be incorporated into an agent-based system for addressing + uncertainty of machine learning in future manufacturing? +
+ +### Features + +Some notable features of agentMET4FOF include : + +- Modular agent classes for metrological data streams and analytics +- A built-in buffering mechanism to decouple transmission, processing and visualization + of data +- Easy connection among software agents to send and receive data +- Choose backends between: + - [_Osbrain_](https://osbrain.readthedocs.io/en/stable/) for simulating as well as + handling real distributed systems running Python connected via a TCP network, and + - [_Mesa_](https://mesa.readthedocs.io/en/stable/) for local simulations of + distributed systems, debugging and more high-performance execution +- Interactive and customisable dashboard from the get-go to: + - Visualize and change agent-network topologies + - Visualize groups of cooperative agents as _Coalitions_ + - View and change the agents' parameters + - View the agents' outputs as plotly or matplotlib plots or generate and embed your + own images +- Generic streams and agents that can be used as starting points in simulations + - A sine generator with an associated agent + - A generator for a sine signal with jitter dynamically or with fixed length + - A white noise agent + - A metrologically enabled sine generator agent which also handles measurement uncertainties + +## 📈The agentMET4FOF dashboard + +agentMET4FOF comes bundled with our so called _dashboard_. It is an optional component +of every agent network and provides a web browser based view. You can +observe the state of your agents, modify the connections between them and even add +more pre-made agents to your network all during run-time. The address to your +dashboard is printed to the console on every launch of an agent network. + +The following image is close to what you will find in your browser on execution of +tutorial 2. For details on the tutorials visit our +[video tutorial series](#video-tutorial-series). + +![](https://raw.githubusercontent.com/Met4FoF/agentMET4FOF/develop/docs/screenshot_met4fof.png) + +## 🤓Tutorials + +As mentioned above, agentMET4FOF comes bundled with several [tutorials +](https://agentmet4fof.readthedocs.io/en/latest/tutorials.html) to +get you started as quick as possible. You will find tutorials on how to set up: + +- [a simple pipeline to plot a signal](https://agentmet4fof.readthedocs.io/en/latest/agentMET4FOF_tutorials/tutorial_1_generator_agent.html) +- [a simple pipeline with signal postprocessing](https://agentmet4fof.readthedocs.io/en/latest/agentMET4FOF_tutorials/tutorial_2_math_agent.html) +- [an advanced pipeline with multichannel signals](https://agentmet4fof.readthedocs.io/en/latest/agentMET4FOF_tutorials/tutorial_3_multi_channel.html) +- [a simple metrological datastream](https://agentmet4fof.readthedocs.io/en/latest/agentMET4FOF_tutorials/tutorial_4_metrological_streams.html) +- [pipelines to determine redundancy in sensor networks](https://agentmet4fof.readthedocs.io/en/latest/tutorials.html#working-with-signals-carrying-redundant-information) +- [a pipeline to reduce noise and jitter in sensor readings](https://agentmet4fof.readthedocs.io/en/latest/tutorials.html#reducing-noise-and-jitter-in-signals) + +… and [more](https://agentmet4fof.readthedocs.io/en/latest/tutorials.html)! + +## 📖Documentation and screencasts + +Extended +[documentation can be found on ReadTheDocs](https://agentmet4fof.readthedocs.io). + +### Screencast series + +Additionally, we provide some +[screencasts based on agentMET4FOF 0.4.1 on the project homepage +](https://www.ptb.de/empir2018/met4fof/information-communication/video-portal/) +in the section _Tutorials for the multi-agent system agentMET4FOF_. +You can self-register on the linked page and get started immediately. The video series +begins with our motivation for creating agentMET4FOF, guide you through the +installation of Python and other recommended software until you execute the tutorials +on your machine. + +### Live online tutorial during early development + +In an early development stage we held a live online tutorial based on +[agentMET4FOF 0.1.0](https://github.com/Met4FoF/agentMET4FOF/releases/0.1.0/) +which you can [download](https://github.com/Met4FoF/agentMET4FOF/releases/download/0.1.0/Met4FoF.MAS.webinar.mp4). + +If questions arise, or you feel something is missing, reach out to +[us](https://github.com/Met4FoF/agentMET4FOF/graphs/contributors). + +## 💻Installation + +There are different ways to run agentMET4FOF. Either: + +1. you [install Python](https://www.python.org/downloads/) and our package + [agentMET4FOF](https://pypi.org/project/agentMET4FOF/) in a virtual Python + environment on your computer, or +2. you [install Docker](https://docs.docker.com/get-docker/), [start agentMET4FOF in + a container](https://agentmet4fof.readthedocs.io/en/latest/INSTALL.html#start-a-container-from-the-image) + and [visit the Jupyter Notebook server and the agentMET4FOF dashboard directly in + your browser](https://agentmet4fof.readthedocs.io/en/latest/INSTALL.html#start-a-container-from-the-image-for-local-use) + or even [deploy it over a proper webserver](https://agentmet4fof.readthedocs.io/en/latest/INSTALL.html#deploy-the-containerized-agents-via-a-webserver). + +In the [video tutorials series](#video-tutorial-series) +we guide you through every step of option 1. More detailed instructions on both +options you can find in the [installation +section of the docs](https://agentmet4fof.readthedocs.io/en/latest/INSTALL.html). + +## 🐝Contributing + +Whenever you are involved with agentMET4FOF, please respect our [Code of Conduct +](https://github.com/Met4FoF/agentMET4FOF/blob/develop/CODE_OF_CONDUCT.md). +If you want to contribute back to the project, after reading our Code of Conduct, +take a look at our open developments in the [project board +](https://github.com/Met4FoF/agentMET4FOF/projects/1), [pull requests +](https://github.com/Met4FoF/agentMET4FOF/pulls) and search [the issues +](https://github.com/Met4FoF/agentMET4FOF/issues). If you find something similar to +your ideas or troubles, let us know by leaving a comment or remark. If you have +something new to tell us, feel free to open a feature request or bug report in the +issues. If you want to contribute code or improve our documentation, please check our +[contributing guide](https://agentmet4fof.readthedocs.io/en/latest/CONTRIBUTING.html). + +## 💨Coming soon + +- Improved handling of metadata +- More advanced signal processing + +For a comprehensive overview of current development activities and upcoming tasks, +take a look at the [project board](https://github.com/Met4FoF/agentMET4FOF/projects/1), +[issues](https://github.com/Met4FoF/agentMET4FOF/issues) and +[pull requests](https://github.com/Met4FoF/agentMET4FOF/pulls). + +## 🖋Citation + +If you publish results obtained with the help of agentMET4FOF, please cite the linked +[![](https://zenodo.org/badge/DOI/10.5281/zenodo.4560343.svg) +](https://doi.org/10.5281/zenodo.4560343). + +## 💎Acknowledgement + +This work was part of the Joint Research Project [Metrology for the Factory of the +Future (Met4FoF), project number 17IND12](https://www.ptb.de/empir2018/met4fof/home/) +of the European Metrology Programme for Innovation and Research (EMPIR). The +[EMPIR](http://msu.euramet.org) is jointly funded by the EMPIR participating +countries within EURAMET and the European Union. + +## ⚠Disclaimer + +This software is developed as a joint effort of several project partners namely: + +- [Institute for Manufacturing of the University of Cambridge (IfM) + ](https://www.ifm.eng.cam.ac.uk/) +- [Physikalisch-Technische Bundesanstalt (PTB)](https://www.ptb.de/) +- [Van Swinden Laboratory (VSL)](https://www.vsl.nl/en/) +- [National Physics Laboratory (NPL)](https://www.npl.co.uk/) + +under the lead of IfM. The software is made available "as is" free of cost. The +authors and their institutions assume no responsibility whatsoever for its use by +other parties, and makes no guarantees, expressed or implied, about its quality, +reliability, safety, suitability or any other characteristic. In no event will the +authors be liable for any direct, indirect or consequential damage arising in +connection with the use of this software. + +## ©License + +agentMET4FOF is distributed under the +[LGPLv3 license](https://github.com/Met4FoF/agentMET4FOF/blob/develop/license.md). + + + + +%prep +%autosetup -n agentMET4FOF-0.13.2 + +%build +%py3_build + +%install +%py3_install +install -d -m755 %{buildroot}/%{_pkgdocdir} +if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi +if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi +if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi +if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi +pushd %{buildroot} +if [ -d usr/lib ]; then + find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/lib64 ]; then + find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/bin ]; then + find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/sbin ]; then + find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst +fi +touch doclist.lst +if [ -d usr/share/man ]; then + find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst +fi +popd +mv %{buildroot}/filelist.lst . +mv %{buildroot}/doclist.lst . + +%files -n python3-agentMET4FOF -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Fri May 05 2023 Python_Bot - 0.13.2-1 +- Package Spec generated diff --git a/sources b/sources new file mode 100644 index 0000000..9962b21 --- /dev/null +++ b/sources @@ -0,0 +1 @@ +bc8e25dd0cebce7ee254a51421a80de0 agentMET4FOF-0.13.2.tar.gz -- cgit v1.2.3