%global _empty_manifest_terminate_build 0
Name:		python-FireEye
Version:	0.5.1
Release:	1
Summary:	A video over TCP client
License:	MIT License
URL:		https://github.com/0xJeremy/FireEye
Source0:	https://mirrors.aliyun.com/pypi/web/packages/65/a8/a2ce60031594e42bb0c1eb288923b4ce6fba05d819cf0ba1768bd8b72625/FireEye-0.5.1.tar.gz
BuildArch:	noarch


%description
# FireEye

# THIS PROJECT IS NO LONGER MAINTAINED. USE [SOCKET.ENGINE](https://github.com/0xJeremy/socket.engine) INSTEAD.

## Installation

Node.js installation:
```
npm install fireeye
```

Python installation:
```
pip install FireEye
```

These libraries are developed in parallel, and designed to be used together.
Please note: The Python side of this library is tested only with Python 3.

## Features

FireEye enables real-time bidirectional communication between a Node.js server, and a Python process. It is specifically designed to stream video between these two processes when running on separate devices. 

Its main features are:

### Speed

Connections are made using TCP sockets and can pass information from processes extremely quickly and reliably. FireEye operates using IPv4.

### Easy to use

This library was designed to lower the barrier to entry as much as possible. As such, it has a built in wrapper to send images from process to process.

## How to use — Node.js

The following example imports and creates the data socket in Node.js, and then sets up a listener event.
```javascript
const FireEye = require('fireeye');

var socket = new FireEye();

socket.on('image', (data) => {
	/* your code here */
})

```
The example above can be used to receive entire images sent from Python.

FireEye can also be used to send arbitrary information across the TCP socket. Any JSON serializable object can be sent:
```javascript
const FireEye = require('fireeye');

var socket = new FireEye();

var channel = 'channel_1';

socket.write(channel, 'Hello from Node.js!');

socket.on(channel, (data) => {
	/* your code here */
});
```
Any channel name can be used, except for `image` which is reserved for sending images from Python → Node.js

## How to use — Python

The following is a simple example of how to use FireEye in Python:
```python
from FireEye import FireEye
import cv2

socket = FireEye.FireEye()

cap = cv2.VideoCapture(0) #Camera Number Here

ret, frame = cap.read()

socket.writeImg(frame)
```
Please Note: Creating a FireEye socket in Python is a _blocking action_ and will not finish until the socket is opened.

As shown above, arbitrary data can be sent across FireEye. Here is an example in Python that matches the one above:
```python
from FireEye import FireEye

socket = FireEye.FireEye()

channel = 'channel_1'

socket.write(channel, 'Hello from Python!')

response = socket.get(channel)
```

FireEye will automatically store the most recent piece of data received over a channel. This data is accessible via the `get` method. FireEye runs on a separate thread from the rest of your program and will therefore be constantly reading from the data socket.




%package -n python3-FireEye
Summary:	A video over TCP client
Provides:	python-FireEye
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-FireEye
# FireEye

# THIS PROJECT IS NO LONGER MAINTAINED. USE [SOCKET.ENGINE](https://github.com/0xJeremy/socket.engine) INSTEAD.

## Installation

Node.js installation:
```
npm install fireeye
```

Python installation:
```
pip install FireEye
```

These libraries are developed in parallel, and designed to be used together.
Please note: The Python side of this library is tested only with Python 3.

## Features

FireEye enables real-time bidirectional communication between a Node.js server, and a Python process. It is specifically designed to stream video between these two processes when running on separate devices. 

Its main features are:

### Speed

Connections are made using TCP sockets and can pass information from processes extremely quickly and reliably. FireEye operates using IPv4.

### Easy to use

This library was designed to lower the barrier to entry as much as possible. As such, it has a built in wrapper to send images from process to process.

## How to use — Node.js

The following example imports and creates the data socket in Node.js, and then sets up a listener event.
```javascript
const FireEye = require('fireeye');

var socket = new FireEye();

socket.on('image', (data) => {
	/* your code here */
})

```
The example above can be used to receive entire images sent from Python.

FireEye can also be used to send arbitrary information across the TCP socket. Any JSON serializable object can be sent:
```javascript
const FireEye = require('fireeye');

var socket = new FireEye();

var channel = 'channel_1';

socket.write(channel, 'Hello from Node.js!');

socket.on(channel, (data) => {
	/* your code here */
});
```
Any channel name can be used, except for `image` which is reserved for sending images from Python → Node.js

## How to use — Python

The following is a simple example of how to use FireEye in Python:
```python
from FireEye import FireEye
import cv2

socket = FireEye.FireEye()

cap = cv2.VideoCapture(0) #Camera Number Here

ret, frame = cap.read()

socket.writeImg(frame)
```
Please Note: Creating a FireEye socket in Python is a _blocking action_ and will not finish until the socket is opened.

As shown above, arbitrary data can be sent across FireEye. Here is an example in Python that matches the one above:
```python
from FireEye import FireEye

socket = FireEye.FireEye()

channel = 'channel_1'

socket.write(channel, 'Hello from Python!')

response = socket.get(channel)
```

FireEye will automatically store the most recent piece of data received over a channel. This data is accessible via the `get` method. FireEye runs on a separate thread from the rest of your program and will therefore be constantly reading from the data socket.




%package help
Summary:	Development documents and examples for FireEye
Provides:	python3-FireEye-doc
%description help
# FireEye

# THIS PROJECT IS NO LONGER MAINTAINED. USE [SOCKET.ENGINE](https://github.com/0xJeremy/socket.engine) INSTEAD.

## Installation

Node.js installation:
```
npm install fireeye
```

Python installation:
```
pip install FireEye
```

These libraries are developed in parallel, and designed to be used together.
Please note: The Python side of this library is tested only with Python 3.

## Features

FireEye enables real-time bidirectional communication between a Node.js server, and a Python process. It is specifically designed to stream video between these two processes when running on separate devices. 

Its main features are:

### Speed

Connections are made using TCP sockets and can pass information from processes extremely quickly and reliably. FireEye operates using IPv4.

### Easy to use

This library was designed to lower the barrier to entry as much as possible. As such, it has a built in wrapper to send images from process to process.

## How to use — Node.js

The following example imports and creates the data socket in Node.js, and then sets up a listener event.
```javascript
const FireEye = require('fireeye');

var socket = new FireEye();

socket.on('image', (data) => {
	/* your code here */
})

```
The example above can be used to receive entire images sent from Python.

FireEye can also be used to send arbitrary information across the TCP socket. Any JSON serializable object can be sent:
```javascript
const FireEye = require('fireeye');

var socket = new FireEye();

var channel = 'channel_1';

socket.write(channel, 'Hello from Node.js!');

socket.on(channel, (data) => {
	/* your code here */
});
```
Any channel name can be used, except for `image` which is reserved for sending images from Python → Node.js

## How to use — Python

The following is a simple example of how to use FireEye in Python:
```python
from FireEye import FireEye
import cv2

socket = FireEye.FireEye()

cap = cv2.VideoCapture(0) #Camera Number Here

ret, frame = cap.read()

socket.writeImg(frame)
```
Please Note: Creating a FireEye socket in Python is a _blocking action_ and will not finish until the socket is opened.

As shown above, arbitrary data can be sent across FireEye. Here is an example in Python that matches the one above:
```python
from FireEye import FireEye

socket = FireEye.FireEye()

channel = 'channel_1'

socket.write(channel, 'Hello from Python!')

response = socket.get(channel)
```

FireEye will automatically store the most recent piece of data received over a channel. This data is accessible via the `get` method. FireEye runs on a separate thread from the rest of your program and will therefore be constantly reading from the data socket.




%prep
%autosetup -n FireEye-0.5.1

%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-FireEye -f filelist.lst
%dir %{python3_sitelib}/*

%files help -f doclist.lst
%{_docdir}/*

%changelog
* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 0.5.1-1
- Package Spec generated