elabftw-ude-cli 0.1.15

CLI wrapper for interacting with eLabFTW API at University of Duisburg-Essen

elabftw_ude_cli

elabftw_ude_cli is a Python-based CLI and importable API for interacting with the eLabFTW electronic lab notebook system, tailored for use at the University of Duisburg-Essen.

It provides:

• A command-line interface to create, modify, search, and read experiments.
• A Python API for programmatic integration with pipelines and notebooks.
• Tab-autocomplete support for fast CLI access.
• Optional integration with Python-based workflows like Snakemake.

---

🛠 Installation

pip install elabftw_ude_cli

🔑 Step 0: Add your API key and base URL

After installation, locate and edit your config.py:

elabftw-cli --config-path

Then open the file and update:

• server_name_to_use to clarify which server to use
• You can configure multiple servers and teams with different teams and/or test serversfor each server in the servers dictionary give it a name, and define its:
• url pointing to your institution's instance
• api_key with your generated key (see below)

🎯 How to get your API key:

1. Log in to eLabFTW.
2. Click your initials in the top-right.
3. Go to Settings → API Keys.
4. Enter a name, set permission to read/write, and click Generate API Key.
5. Copy and store the key safely – it will only be shown once.

---

⚡ CLI Usage

After installation, use elabftw-cli from the command line.

♻️ Enable tab-completion (Optional; Dose not work for conda based enviroenments)

activate-global-python-argcomplete --user

Or for bash/zsh:

eval "$(register-python-argcomplete elabftw-cli)"

📋 CLI Commands

elabftw-cli create_experiment --name "Exp Title" --body body.md --steps steps.json
elabftw-cli modify_experiment --exp_id 123 --body new_body.md --steps new_steps.json
elabftw-cli search_experiments --name-like "test"
elabftw-cli read_experiment --exp_id 123

📁 File Actions via CLI

elabftw-cli file-actions --name-like "My Experiment" --upload results.csv --replace
elabftw-cli file-actions --name-like "My Experiment" --search
elabftw-cli file-actions --name-like "My Experiment" --delete log.txt error.log
elabftw-cli file-actions --name-like "My Experiment" --download report.txt

File Options

• --replace: Replace file if it already exists
• --delete: Delete files by name match (can be partial)
• --download: Download files to temp/ directory
• --search: List uploaded files

---

🧑‍💻 Python API Usage

import elabftw_ude_cli.api as elf

# Create an experiment
exp_id = elf.create_experiment(
    name="My Experiment",
    body="<h1>Intro</h1><p>This is HTML</p>",
    content_type=2
)

# Modify with body append and steps
elf.modify_experiment(
    exp_id=exp_id,
    body_append="Done.\nAll checked.",
    steps=[{"body": "step_3: summary"}]
)

# Complete a step
elf.complete_step(exp_id, pattern="step_3", change="first", done_by="Alice")

# Search and read
ids, names = elf.search_experiments("test")
data = elf.read_experiment(exp_id=ids[0])

---

🧬 Snakemake Integration Example

See Snakemake Integration for examples of using this inside workflows.

📋 CLI auto_update and automations:

See Auto Update Guide for scheduling and automation.

---

📦 License

MIT License. See LICENSE file.