treecript: Process Tree Metrics Transcriptor

Originally named Execution Process Metrics Collector, treecript monitors Linux processes and their descendants, collects their metrics, and helps analyze and visualize the results. It was initially developed for ELIXIR STEERS.

Documentation

The full list is in the documentation index.

• Installation: Singularity/Apptainer, pip, and Conda.
• Standalone collector binary: download the existing Docker-built binary, build with Docker or Apptainer/Singularity, and check compatibility with HPC systems.
• Usage and CPU datasets: collect, plot, find CPU TDP, and estimate energy consumption.
• Metrics and output files: output files and column reference.
• RO-Crate representation: structure of generated RO-Crates.
• Onboarding example and sample workloads.
• Legacy scripts.

Quick start

After a Python installation:

execution-metrics-collector ~/my_metrics my_command --arg1 --arg2

For container-based collection and subsequent analysis, see the usage guide. The standalone binary only provides the collector; analysis requires a separate Python installation.

Repository

treecript/
├── treecript/                  Python package (the actual implementation)
│   ├── collector.py            Process-tree metrics collection
│   ├── parser.py               Reads collected metrics
│   ├── aggregator.py           Digests metrics and estimates energy consumption
│   ├── plot_graph.py           Time series charts
│   ├── tdp_finder.py           CPU TDP lookup (uses tdp_sources.py)
│   ├── rocrate.py              RO-Crate generation
│   └── common.py               Shared helpers
├── *.py (top level)            Thin wrappers of the commands (see table below)
├── tests/                      Unit tests
├── docs/                       Documentation (start at docs/README.md)
├── installation/               Requirements, constraints and container recipes
├── treecript-builder.def       Apptainer/Singularity recipe for the standalone binary
├── setup.py, pyproject.toml    Packaging
├── data/                       Local CPU datasets (populated as in docs/usage.md)
├── legacy/                     Old Bash scripts (unmaintained)
├── onboarding/                 First installation and measurement walk-through
├── sample-work-to-measure/     Scripts that run sample workloads
├── sample/, sample-series/,    Example metrics, charts and CPU info files
│   sample-charts/, sample_cpuinfo/
└── .github/workflows/          CI: pre-commit, pip-audit, container builds

Command	Module	Purpose
execution-metrics-collector	treecript.collector	Run a command and collect its process tree metrics.
process-metrics-collector	treecript.collector	Collect metrics of an already running PID.
plotGraph	treecript.plot_graph	Plot time series charts.*
metrics-aggregator	treecript.aggregator	Aggregate metrics and estimate energy.*
tdp-finder, cpuinfo-tdp-finder, modelname-tdp-finder	treecript.tdp_finder	Find a CPU TDP from metrics, /proc/cpuinfo or a model name.*

* Needs the analytics extra (not included in the standalone binary).

The workflows in .github/workflows/ are:

• pre-commit.yml, pre-commit_wsl.yml: linting, type checks, tests and licence checks.
• pip-audit.yml: scheduled security audit that regenerates the constraints files.
• container.yml, container_self.yml: Singularity/Apptainer image builds (on v* tags or manual dispatch).

License

Licensed under GNU GPL v3. This repository is a fork and evolution of chamilad/process-metrics-collector.