🎯

labarchive-integration

🎯Skill

from ovachiever/droid-tings

VibeIndex|
What it does

Programmatically access, manage, and integrate LabArchives electronic lab notebooks via REST API for automated research documentation workflows.

πŸ“¦

Part of

ovachiever/droid-tings(370 items)

labarchive-integration

Installation

PythonRun Python server
python3 scripts/setup_config.py
PythonRun Python server
python3 scripts/notebook_operations.py backup --uid USER_ID --nbid NOTEBOOK_ID
PythonRun Python server
python3 scripts/entry_operations.py upload --uid USER_ID --nbid NOTEBOOK_ID --entry-id ENTRY_ID --file /path/to/file.pdf
PythonRun Python server
python3 scripts/notebook_operations.py backup-all --email user@example.edu --password AUTH_TOKEN
git cloneClone repository
git clone https://github.com/mcmero/labarchives-py
πŸ“– Extracted from docs: ovachiever/droid-tings
16Installs
-
AddedFeb 4, 2026

Skill Details

SKILL.md

"Electronic lab notebook API integration. Access notebooks, manage entries/attachments, backup notebooks, integrate with Protocols.io/Jupyter/REDCap, for programmatic ELN workflows."

Overview

# LabArchives Integration

Overview

LabArchives is an electronic lab notebook platform for research documentation and data management. Access notebooks, manage entries and attachments, generate reports, and integrate with third-party tools programmatically via REST API.

When to Use This Skill

This skill should be used when:

  • Working with LabArchives REST API for notebook automation
  • Backing up notebooks programmatically
  • Creating or managing notebook entries and attachments
  • Generating site reports and analytics
  • Integrating LabArchives with third-party tools (Protocols.io, Jupyter, REDCap)
  • Automating data upload to electronic lab notebooks
  • Managing user access and permissions programmatically

Core Capabilities

1. Authentication and Configuration

Set up API access credentials and regional endpoints for LabArchives API integration.

Prerequisites:

  • Enterprise LabArchives license with API access enabled
  • API access key ID and password from LabArchives administrator
  • User authentication credentials (email and external applications password)

Configuration setup:

Use the scripts/setup_config.py script to create a configuration file:

```bash

python3 scripts/setup_config.py

```

This creates a config.yaml file with the following structure:

```yaml

api_url: https://api.labarchives.com/api # or regional endpoint

access_key_id: YOUR_ACCESS_KEY_ID

access_password: YOUR_ACCESS_PASSWORD

```

Regional API endpoints:

  • US/International: https://api.labarchives.com/api
  • Australia: https://auapi.labarchives.com/api
  • UK: https://ukapi.labarchives.com/api

For detailed authentication instructions and troubleshooting, refer to references/authentication_guide.md.

2. User Information Retrieval

Obtain user ID (UID) and access information required for subsequent API operations.

Workflow:

  1. Call the users/user_access_info API method with login credentials
  2. Parse the XML/JSON response to extract the user ID (UID)
  3. Use the UID to retrieve detailed user information via users/user_info_via_id

Example using Python wrapper:

```python

from labarchivespy.client import Client

# Initialize client

client = Client(api_url, access_key_id, access_password)

# Get user access info

login_params = {'login_or_email': user_email, 'password': auth_token}

response = client.make_call('users', 'user_access_info', params=login_params)

# Extract UID from response

import xml.etree.ElementTree as ET

uid = ET.fromstring(response.content)[0].text

# Get detailed user info

params = {'uid': uid}

user_info = client.make_call('users', 'user_info_via_id', params=params)

```

3. Notebook Operations

Manage notebook access, backup, and metadata retrieval.

Key operations:

  • List notebooks: Retrieve all notebooks accessible to a user
  • Backup notebooks: Download complete notebook data with optional attachment inclusion
  • Get notebook IDs: Retrieve institution-defined notebook identifiers for integration with grants/project management systems
  • Get notebook members: List all users with access to a specific notebook
  • Get notebook settings: Retrieve configuration and permissions for notebooks

Notebook backup example:

Use the scripts/notebook_operations.py script:

```bash

# Backup with attachments (default, creates 7z archive)

python3 scripts/notebook_operations.py backup --uid USER_ID --nbid NOTEBOOK_ID

# Backup without attachments, JSON format

python3 scripts/notebook_operations.py backup --uid USER_ID --nbid NOTEBOOK_ID --json --no-attachments

```

API endpoint format:

```

https:///notebooks/notebook_backup?uid=&nbid=&json=true&no_attachments=false

```

For comprehensive API method documentation, refer to references/api_reference.md.

4. Entry and Attachment Management

Create, modify, and manage notebook entries and file attachments.

Entry operations:

  • Create new entries in notebooks
  • Add comments to existing entries
  • Create entry parts/components
  • Upload file attachments to entries

Attachment workflow:

Use the scripts/entry_operations.py script:

```bash

# Upload attachment to an entry

python3 scripts/entry_operations.py upload --uid USER_ID --nbid NOTEBOOK_ID --entry-id ENTRY_ID --file /path/to/file.pdf

# Create a new entry with text content

python3 scripts/entry_operations.py create --uid USER_ID --nbid NOTEBOOK_ID --title "Experiment Results" --content "Results from today's experiment..."

```

Supported file types:

  • Documents (PDF, DOCX, TXT)
  • Images (PNG, JPG, TIFF)
  • Data files (CSV, XLSX, HDF5)
  • Scientific formats (CIF, MOL, PDB)
  • Archives (ZIP, 7Z)

5. Site Reports and Analytics

Generate institutional reports on notebook usage, activity, and compliance (Enterprise feature).

Available reports:

  • Detailed Usage Report: User activity metrics and engagement statistics
  • Detailed Notebook Report: Notebook metadata, member lists, and settings
  • PDF/Offline Notebook Generation Report: Export tracking for compliance
  • Notebook Members Report: Access control and collaboration analytics
  • Notebook Settings Report: Configuration and permission auditing

Report generation:

```python

# Generate detailed usage report

response = client.make_call('site_reports', 'detailed_usage_report',

params={'start_date': '2025-01-01', 'end_date': '2025-10-20'})

```

6. Third-Party Integrations

LabArchives integrates with numerous scientific software platforms. This skill provides guidance on leveraging these integrations programmatically.

Supported integrations:

  • Protocols.io: Export protocols directly to LabArchives notebooks
  • GraphPad Prism: Export analyses and figures (Version 8+)
  • SnapGene: Direct molecular biology workflow integration
  • Geneious: Bioinformatics analysis export
  • Jupyter: Embed Jupyter notebooks as entries
  • REDCap: Clinical data capture integration
  • Qeios: Research publishing platform
  • SciSpace: Literature management

OAuth authentication:

LabArchives now uses OAuth for all new integrations. Legacy integrations may use API key authentication.

For detailed integration setup instructions and use cases, refer to references/integrations.md.

Common Workflows

Complete notebook backup workflow

  1. Authenticate and obtain user ID
  2. List all accessible notebooks
  3. Iterate through notebooks and backup each one
  4. Store backups with timestamp metadata

```bash

# Complete backup script

python3 scripts/notebook_operations.py backup-all --email user@example.edu --password AUTH_TOKEN

```

Automated data upload workflow

  1. Authenticate with LabArchives API
  2. Identify target notebook and entry
  3. Upload experimental data files
  4. Add metadata comments to entries
  5. Generate activity report

Integration workflow example (Jupyter β†’ LabArchives)

  1. Export Jupyter notebook to HTML or PDF
  2. Use entry_operations.py to upload to LabArchives
  3. Add comment with execution timestamp and environment info
  4. Tag entry for easy retrieval

Python Package Installation

Install the labarchives-py wrapper for simplified API access:

```bash

git clone https://github.com/mcmero/labarchives-py

cd labarchives-py

uv pip install .

```

Alternatively, use direct HTTP requests via Python's requests library for custom implementations.

Best Practices

  1. Rate limiting: Implement appropriate delays between API calls to avoid throttling
  2. Error handling: Always wrap API calls in try-except blocks with appropriate logging
  3. Authentication security: Store credentials in environment variables or secure config files (never in code)
  4. Backup verification: After notebook backup, verify file integrity and completeness
  5. Incremental operations: For large notebooks, use pagination and batch processing
  6. Regional endpoints: Use the correct regional API endpoint for optimal performance

Troubleshooting

Common issues:

  • 401 Unauthorized: Verify access key ID and password are correct; check API access is enabled for your account
  • 404 Not Found: Confirm notebook ID (nbid) exists and user has access permissions
  • 403 Forbidden: Check user permissions for the requested operation
  • Empty response: Ensure required parameters (uid, nbid) are provided correctly
  • Attachment upload failures: Verify file size limits and format compatibility

For additional support, contact LabArchives at support@labarchives.com.

Resources

This skill includes bundled resources to support LabArchives API integration:

scripts/

  • setup_config.py: Interactive configuration file generator for API credentials
  • notebook_operations.py: Utilities for listing, backing up, and managing notebooks
  • entry_operations.py: Tools for creating entries and uploading attachments

references/

  • api_reference.md: Comprehensive API endpoint documentation with parameters and examples
  • authentication_guide.md: Detailed authentication setup and configuration instructions
  • integrations.md: Third-party integration setup guides and use cases