%global _empty_manifest_terminate_build 0 Name: python-intents Version: 0.3.0 Release: 1 Summary: Define and operate Dialogflow Agents with a simple, code-first, approach License: Apache-2.0 URL: https://github.com/dariowho/intents Source0: https://mirrors.aliyun.com/pypi/web/packages/d1/cf/c50e584f1cd753a67c07d4bf523f8d45f8477ec71e8b95ce787974fe55f0/intents-0.3.0.tar.gz BuildArch: noarch Requires: python3-pyyaml Requires: python3-google-cloud-dialogflow Requires: python3-dacite Requires: python3-snips-nlu[snips] %description # Intents ⛺ [![Documentation Status](https://readthedocs.org/projects/intents/badge/?version=latest)](https://intents.readthedocs.io/en/latest/?badge=latest) [![codecov](https://codecov.io/gh/dariowho/intents/branch/master/graph/badge.svg?token=XAVLW70J8S)](https://codecov.io/gh/dariowho/intents) [![HEAD version](https://img.shields.io/badge/head-v0.3.0-blue.svg)](https://img.shields.io/badge/head-v0.3.0-blue.svg) [![PyPI version](https://badge.fury.io/py/intents.svg)](https://badge.fury.io/py/intents) **Intents** is a Python framework to define and operate Conversational Agents with a simple, code-first approach. *Intents* comes with built-in support for Dialogflow ES and experimental Alexa and Snips connectors. Its main benefits are: * **Agents are Python projects**. You will develop with autocomplete, static type checking and everything you are already used to. * **Versioning and CI**. Agents can be versioned on Git, and programmatically deployed just like software. * **Human-friendly Connectors**. Intents are classes, predictions are their instances. Support can be extended beyond Dialogflow by implementing custom connectors. A detailed view of the available features can be found in [STATUS.md](STATUS.md). Also, check out the [Projects](https://github.com/dariowho/intents/projects) page to keep track of recent developments. ## Install ```sh pip install intents ``` ## Usage Intents are defined like standard Python **dataclasses**: ```python @dataclass class HelloIntent(Intent): """A little docstring for my Intent class""" user_name: Sys.Person = "Guido" MyAgent.register(HelloIntent) ``` Their **language** resources are stored in separate YAML files: ```yaml utterances: - Hi! My name is $user_name{Guido} - Hello there, I'm $user_name{Mario} responses: default: - text: - Hi $user_name - Hello $user_name, this is Bot! ``` Agents can be **uploaded** as Dialogflow ES projects directly from code: ```python df = DialogflowEsConnector('/path/to/service-account.json', MyAgent) df.upload() # You will find it in your Dialogflow Console ``` *Intents* will act transparently as a **prediction** client: ```python predicted = df.predict("Hi there, my name is Mario") predicted.intent # HelloIntent(user_name="Mario") predicted.intent.user_name # "Mario" predicted.fulfillment_text # "Hello Mario, this is Bot!" ``` For a complete working example, check out the included [Example Agent](example_agent/). Also, *Intents* **documentation** is published at https://intents.readthedocs.io/ 📚 ## Disclaimer *This project is not affiliated, associated, authorized, endorsed by, or in any way officially connected with Dialogflow. The names Dialogflow, Google, as well as related names, marks, emblems and images are registered trademarks of their respective owners.* %package -n python3-intents Summary: Define and operate Dialogflow Agents with a simple, code-first, approach Provides: python-intents BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-intents # Intents ⛺ [![Documentation Status](https://readthedocs.org/projects/intents/badge/?version=latest)](https://intents.readthedocs.io/en/latest/?badge=latest) [![codecov](https://codecov.io/gh/dariowho/intents/branch/master/graph/badge.svg?token=XAVLW70J8S)](https://codecov.io/gh/dariowho/intents) [![HEAD version](https://img.shields.io/badge/head-v0.3.0-blue.svg)](https://img.shields.io/badge/head-v0.3.0-blue.svg) [![PyPI version](https://badge.fury.io/py/intents.svg)](https://badge.fury.io/py/intents) **Intents** is a Python framework to define and operate Conversational Agents with a simple, code-first approach. *Intents* comes with built-in support for Dialogflow ES and experimental Alexa and Snips connectors. Its main benefits are: * **Agents are Python projects**. You will develop with autocomplete, static type checking and everything you are already used to. * **Versioning and CI**. Agents can be versioned on Git, and programmatically deployed just like software. * **Human-friendly Connectors**. Intents are classes, predictions are their instances. Support can be extended beyond Dialogflow by implementing custom connectors. A detailed view of the available features can be found in [STATUS.md](STATUS.md). Also, check out the [Projects](https://github.com/dariowho/intents/projects) page to keep track of recent developments. ## Install ```sh pip install intents ``` ## Usage Intents are defined like standard Python **dataclasses**: ```python @dataclass class HelloIntent(Intent): """A little docstring for my Intent class""" user_name: Sys.Person = "Guido" MyAgent.register(HelloIntent) ``` Their **language** resources are stored in separate YAML files: ```yaml utterances: - Hi! My name is $user_name{Guido} - Hello there, I'm $user_name{Mario} responses: default: - text: - Hi $user_name - Hello $user_name, this is Bot! ``` Agents can be **uploaded** as Dialogflow ES projects directly from code: ```python df = DialogflowEsConnector('/path/to/service-account.json', MyAgent) df.upload() # You will find it in your Dialogflow Console ``` *Intents* will act transparently as a **prediction** client: ```python predicted = df.predict("Hi there, my name is Mario") predicted.intent # HelloIntent(user_name="Mario") predicted.intent.user_name # "Mario" predicted.fulfillment_text # "Hello Mario, this is Bot!" ``` For a complete working example, check out the included [Example Agent](example_agent/). Also, *Intents* **documentation** is published at https://intents.readthedocs.io/ 📚 ## Disclaimer *This project is not affiliated, associated, authorized, endorsed by, or in any way officially connected with Dialogflow. The names Dialogflow, Google, as well as related names, marks, emblems and images are registered trademarks of their respective owners.* %package help Summary: Development documents and examples for intents Provides: python3-intents-doc %description help # Intents ⛺ [![Documentation Status](https://readthedocs.org/projects/intents/badge/?version=latest)](https://intents.readthedocs.io/en/latest/?badge=latest) [![codecov](https://codecov.io/gh/dariowho/intents/branch/master/graph/badge.svg?token=XAVLW70J8S)](https://codecov.io/gh/dariowho/intents) [![HEAD version](https://img.shields.io/badge/head-v0.3.0-blue.svg)](https://img.shields.io/badge/head-v0.3.0-blue.svg) [![PyPI version](https://badge.fury.io/py/intents.svg)](https://badge.fury.io/py/intents) **Intents** is a Python framework to define and operate Conversational Agents with a simple, code-first approach. *Intents* comes with built-in support for Dialogflow ES and experimental Alexa and Snips connectors. Its main benefits are: * **Agents are Python projects**. You will develop with autocomplete, static type checking and everything you are already used to. * **Versioning and CI**. Agents can be versioned on Git, and programmatically deployed just like software. * **Human-friendly Connectors**. Intents are classes, predictions are their instances. Support can be extended beyond Dialogflow by implementing custom connectors. A detailed view of the available features can be found in [STATUS.md](STATUS.md). Also, check out the [Projects](https://github.com/dariowho/intents/projects) page to keep track of recent developments. ## Install ```sh pip install intents ``` ## Usage Intents are defined like standard Python **dataclasses**: ```python @dataclass class HelloIntent(Intent): """A little docstring for my Intent class""" user_name: Sys.Person = "Guido" MyAgent.register(HelloIntent) ``` Their **language** resources are stored in separate YAML files: ```yaml utterances: - Hi! My name is $user_name{Guido} - Hello there, I'm $user_name{Mario} responses: default: - text: - Hi $user_name - Hello $user_name, this is Bot! ``` Agents can be **uploaded** as Dialogflow ES projects directly from code: ```python df = DialogflowEsConnector('/path/to/service-account.json', MyAgent) df.upload() # You will find it in your Dialogflow Console ``` *Intents* will act transparently as a **prediction** client: ```python predicted = df.predict("Hi there, my name is Mario") predicted.intent # HelloIntent(user_name="Mario") predicted.intent.user_name # "Mario" predicted.fulfillment_text # "Hello Mario, this is Bot!" ``` For a complete working example, check out the included [Example Agent](example_agent/). Also, *Intents* **documentation** is published at https://intents.readthedocs.io/ 📚 ## Disclaimer *This project is not affiliated, associated, authorized, endorsed by, or in any way officially connected with Dialogflow. The names Dialogflow, Google, as well as related names, marks, emblems and images are registered trademarks of their respective owners.* %prep %autosetup -n intents-0.3.0 %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-intents -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Fri Jun 09 2023 Python_Bot - 0.3.0-1 - Package Spec generated