semvec/pypi-packages huggingface dataset:
ektools 0.1.2
Utilities to read and process Simrad RAW files.
License: MIT

Ektools is a small collection of utilities/library functions to work
with Simrad EK60 and EK80 echo sounder data.  There are several executable
programs which take a RAW file as their parameter:

- ekplot - simple plot of the raw data from each channel
- eklist - extracts various information from the RAW file
- ekmeta - display metadata (times and locations, etc)
- eksplit - split a RAW file by configuration

The `ektools` library provides fast indexing functions, and parsers
(mostly taken from the `PyEchoLab` package) for the various datagrams
used by Simrad and the Korona processing package.

# Examples

To list an index of the datagrams in `file.raw` from the shell:

    eklist file.raw

Parse datagrams and print the contents of each (only truncate large
arrays):

    eklist -l file.raw
	
Only print detailed information on specific datagrams (in this case,
MRU datagrams containing information on ship movement):

	eklist -ql -t MRU0 -t MRU1 file.raw

Check contents of the file for consistency (`-c`), while suppressing
other output (`-q`):

	eklist -qc file.raw

Dump normalized (converted to s_v and with corrected angles) RAW data
in a binary stream to stdout:

    eklist -qr file.raw
	
The `rawdecode.py` file demonstrates how to read the stream back in
again.

Extract metadata from a RAW file:

	ekmeta file.raw
	
Separate a RAW file into its different configurations:

	eksplit file.raw

Convert position data from a GPX file into a sequence of RAW
datagrams:

	gpx2nmea locations.gpx > locations.raw

Merging it into a RAW file containing echo sounder output:

	ekmerge locations.raw D20240526012345.raw > merged.raw
testrepoflow 1.0.0
A short description
License: MIT
Requires Python: >=3.7

# Web测试项目

这是一个简单的Flask web测试项目，包含多种API测试功能。

## 功能特性

- 🏠 **主页界面**: 美观的web界面，包含各种测试功能
- 📡 **API测试**: GET和POST请求测试
- 🌐 **外部API测试**: 测试调用外部API服务
- ❤️ **健康检查**: 服务状态监控
- 🐳 **Docker支持**: 容器化部署
- 🔧 **错误处理**: 完善的错误处理机制

## 项目结构

```
testrepoflow/
├── app.py              # Flask应用主文件
├── requirements.txt    # Python依赖
├── Dockerfile         # Docker配置
├── templates/         # HTML模板
│   └── index.html     # 主页模板
└── README.md          # 项目说明
```

## 本地运行

### 1. 安装依赖

```bash
pip install -r requirements.txt
```

### 2. 运行应用

```bash
python app.py
```

应用将在 http://localhost:5000 启动

### 3. 访问功能

- **主页**: http://localhost:5000
- **API测试**: http://localhost:5000/api/test
- **健康检查**: http://localhost:5000/health
- **外部API测试**: http://localhost:5000/api/external-test

## Docker运行

### 1. 构建镜像

```bash
docker build -t testrepoflow .
```

### 2. 运行容器

```bash
docker run -p 5000:5000 testrepoflow
```

## API端点

### GET /api/test
返回简单的JSON响应

### POST /api/test
接收JSON数据并返回确认响应

### GET /api/external-test
测试外部API调用（jsonplaceholder.typicode.com）

### GET /health
健康检查端点，返回服务状态

## 测试功能

访问主页后，你可以：

1. **测试GET API**: 发送GET请求到本地API
2. **测试POST API**: 发送POST请求到本地API
3. **测试外部API**: 调用外部测试API
4. **健康检查**: 检查服务运行状态
5. **自定义POST测试**: 发送自定义数据

所有测试结果会实时显示在页面上，包含完整的JSON响应数据。

## 开发说明

- Flask应用运行在调试模式
- 支持热重载
- 包含错误处理和日志记录
- 响应格式统一为JSON

## 扩展建议

你可以在此基础上添加：

- 数据库集成
- 用户认证
- 更多API端点
- 单元测试
- 日志系统
- 配置管理