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|
%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.nju.edu.cn/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 ⛺
[](https://intents.readthedocs.io/en/latest/?badge=latest)
[](https://codecov.io/gh/dariowho/intents)
[](https://img.shields.io/badge/head-v0.3.0-blue.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 ⛺
[](https://intents.readthedocs.io/en/latest/?badge=latest)
[](https://codecov.io/gh/dariowho/intents)
[](https://img.shields.io/badge/head-v0.3.0-blue.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 ⛺
[](https://intents.readthedocs.io/en/latest/?badge=latest)
[](https://codecov.io/gh/dariowho/intents)
[](https://img.shields.io/badge/head-v0.3.0-blue.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
* Wed May 31 2023 Python_Bot <Python_Bot@openeuler.org> - 0.3.0-1
- Package Spec generated
|
