GHealth Tools

GHealth Tools 是面向 PPG（光电容积脉搏波）传感器数据的命令行工具，覆盖日志解析、 CSV 格式转换、质量检查、绘图、分类、指标评估、产测计算和离线算法跑库。

安装

# 安装稳定版本
pip install ghealth-tools

# 源码开发安装
pip install -e ".[dev]"

安装后先确认当前终端使用的是预期版本：

ghealth_tool --version
python -c "import health_tools; print(health_tools.__file__)"

源码开发时，第二条命令应指向当前仓库的 src/health_tools/__init__.py。如果仍指向 site-packages 中的旧副本，请重新执行可编辑安装。

快速开始

以下流程把 GH3220 示例日志解析为普通 CSV，再查看内容并生成图像：

# 1. 先验证规则
ghealth_tool validate src/health_tools/rules/parse/gh3220.yaml

# 2. 解析日志；-r 决定如何提取字段
ghealth_tool parse -i raw.log -o parsed.csv -r gh3220.yaml

# 3. 查看解析列和样本值
ghealth_tool info parsed.csv --schema --preview 5

# 4. 按真实采样率生成时域和频域图
ghealth_tool plot -i parsed.csv -o plots/ --type both --channels red,ir \
  --sample-rate 25 --no-show

如果输出必须是完整 chip CSV，parse 规则需设置 chip 或 target_chip，且解析列名必须与 chip 规则列名一致；未匹配列会补 0。当前 parse --chip 不能替代解析正则，始终应显式提供 --rule。标准化后再运行 check -c <chip>。

处理真实数据前，运行 ghealth_tool <命令> --help 核对当前安装版本的参数。

命令导航

命令	别名	用途	详细说明
`parse`	`p`	按 parse 规则将原始日志解析为 CSV	parse
`plot`	`pl`	绘制时域、频域、STFT 或 PSD 图	plot
`classify`	`cls`	按文件名或数据内容分类	classify
`convert`	`cv`	转换、合并或分割 CSV 格式	convert
`info`	`i`	查看 CSV 或规则信息	info
`validate`	`val`	验证 YAML 规则	validate
`split`	无	按列值、行数或时间分割数据	split
`process`	无	批量复制或按帧处理 CSV	process
`factory`	`snr`, `fac`	计算 SNR、CTR 和 Noise	factory
`config`	`cfg`	管理用户规则和离线工具配置	config
`evaluate`	`eval`	批量评估心率或血氧指标	evaluate
`offline`	无	调用离线算法、整理结果并评估	offline
`check`	`chk`	检查范围、帧、居中、Ipd、ACC 和时间戳	check
`analyze`	`ana`	编排检查、评估、PSD 诊断并生成报告	analyze
完整命令索引见命令说明。

Python 项目可直接调用稳定的 health_tools.api，无需模拟命令行。接口覆盖 CLI、规则管理、可视化配置替换和离线资源发现；进度、取消与 UI 集成示例见 Python API 使用指南。

常见工作流

转换陌生 CSV

# 根据输入表头和目标芯片生成转换规则模板
ghealth_tool convert --init-rule -i input.csv -c gh3036 -o custom_rules/convert/vendor.yaml

# 编辑映射后先验证，再转换
ghealth_tool validate custom_rules/convert/vendor.yaml
ghealth_tool convert -i input.csv -o output.csv -r custom_rules/convert/vendor.yaml -v

检查并分拣文件

ghealth_tool check -i data/ -c gh3036 -o data/check_report.csv
ghealth_tool check --sort --report data/check_report.csv --sort-output sorted/

离线多版本评估

ghealth_tool cfg --offline-path /path/to/offline_algorithm_tools
ghealth_tool offline --list --chip gh3220
ghealth_tool offline -i data/ -c gh3220 --versions version_a,version_b

离线工具只在 Windows 下调用 TEE_Algorithm.exe；--no-run 可对已有结果执行整理、绘图和准确度统计。

规则系统

内置规则位于 src/health_tools/rules/，用户规则默认位于 ~/.ghealth_tools/rules/。相对规则名优先查找用户目录，再查找内置目录；绝对路径直接使用。

规则类型	用途
`chip`	CSV 行号、编码、列顺序、检查列和芯片参数
`parse`	日志正则、字段列和多 pattern 输出
`classify`	文件名/数据提取、目录分类和准确度配置
`convert`	列映射、计算列、前值填充、频率扩展和外部数据合并
`evaluate`	心率/血氧列、异常阈值、分类和准确度方法
`analysis`	功能列、检测器、阈值、原因条件和原始数据措施

格式、字段和示例见规则文件说明。修改规则后使用 validate 验证，再用小样本运行目标命令。

配置目录

运行 ghealth_tool config --init 会创建：

~/.ghealth_tools/
├── config.yaml
├── rules/
└── offline_algorithm_tools/

使用 ghealth_tool config --show 查看当前生效配置。详细优先级和离线版本配置见 config 命令。

文档

开发

pip install -e ".[dev]"
pytest
pytest --cov=health_tools
ruff check src/ tests/
black --check src/ tests/
mypy src/

项目支持 Python 3.9+，Black 和 Ruff 行宽均为 100。面向用户的文本、注释和文档使用中文。

许可证

MIT License

Metadata

Release files for ghealth-tools 0.5.10

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for ghealth-tools 0.5.10
File	Size	Uploaded	Provenance
ghealth_tools-0.5.10.tar.gz	804.5 kB	Aug 21, 2026	With provenance	Details

Built distribution (wheel)

Table of built distributions (wheels) for ghealth-tools 0.5.10
File	Interpreter	ABI	Platform	Reset
ghealth_tools-0.5.10-py3-none-any.whl 614.7 kB Aug 21, 2026 With provenance	Python 3	none	any	Details

Total release size: 1.4 MB

Release files / ghealth_tools-0.5.10.tar.gz

Download URL	ghealth_tools-0.5.10.tar.gz
Size	804.5 kB
Tags	Source
SHA-256 checksum How to use checksums	`29b4a41e34e211fe00fbb9b9c2d0a1724f23a4c963020ddf7d12b73a071111ad`
BLAKE2b-256 checksum How to use checksums	`63dd25a7c96717b97ba47bcd1761be693dffb0c4d10d5e7b476a7ead276c0e23`
Upload date	Aug 21, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/XiaoPb/health_tools
Publishing commit: github.com/XiaoPb/health_tools/tree/c15999522c2af297e56d4c0fa96dbc9557621383

Workflow

Publishing configuration: github.com/XiaoPb/health_tools/blob/c15999522c2af297e56d4c0fa96dbc9557621383/.github/workflows/ci.yml
Publishing logs: github.com/XiaoPb/health_tools/actions/runs/32519146250/attempts/1

Artifact

Subject: ghealth_tools-0.5.10.tar.gz
SHA-256 checksum: 29b4a41e34e211fe00fbb9b9c2d0a1724f23a4c963020ddf7d12b73a071111ad Verifying attestations

Release files / ghealth_tools-0.5.10-py3-none-any.whl

Download URL	ghealth_tools-0.5.10-py3-none-any.whl
Size	614.7 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`58482d09e06c9e449edbffcbf11983532e5daab1baecda8108a0fa23108f4847`
BLAKE2b-256 checksum How to use checksums	`ec3b47e192cd2e8901551dbad284ae303d072b5faafbc78d1e24365f1efdb57a`
Upload date	Aug 21, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/XiaoPb/health_tools
Publishing commit: github.com/XiaoPb/health_tools/tree/c15999522c2af297e56d4c0fa96dbc9557621383

Workflow

Publishing configuration: github.com/XiaoPb/health_tools/blob/c15999522c2af297e56d4c0fa96dbc9557621383/.github/workflows/ci.yml
Publishing logs: github.com/XiaoPb/health_tools/actions/runs/32519146250/attempts/1

Artifact

Subject: ghealth_tools-0.5.10-py3-none-any.whl
SHA-256 checksum: 58482d09e06c9e449edbffcbf11983532e5daab1baecda8108a0fa23108f4847 Verifying attestations

Security for ghealth-tools 0.5.10

Report project as malware

Provenance

Full provenance

All 2 files in this release have been uploaded with provenance metadata.

Attestation for ghealth_tools-0.5.10.tar.gz

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/XiaoPb/health_tools
Publishing commit: github.com/XiaoPb/health_tools/tree/c15999522c2af297e56d4c0fa96dbc9557621383

Workflow

Publishing configuration: github.com/XiaoPb/health_tools/blob/c15999522c2af297e56d4c0fa96dbc9557621383/.github/workflows/ci.yml
Publishing logs: github.com/XiaoPb/health_tools/actions/runs/32519146250/attempts/1

Artifact

Subject: ghealth_tools-0.5.10.tar.gz
SHA-256 checksum: 29b4a41e34e211fe00fbb9b9c2d0a1724f23a4c963020ddf7d12b73a071111ad Verifying attestations

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.