Data Labeler

A data processing and labeling toolkit for ingesting, transforming, querying, and managing data entries from the command line. All operations are logged with timestamps and stored locally.

Commands

Data Operations

Each data command works in two modes: run without arguments to view recent entries, or pass input to record a new entry.

Utility Commands

Data Storage

All data is stored locally at ~/.local/share/data-labeler/:

• Each data command writes to its own log file (e.g., ingest.log, transform.log)
• Entries are stored as timestamp|value pairs (pipe-delimited)
• All actions are tracked in history.log with timestamps
• Export generates files in the data directory (export.json, export.csv, or export.txt)

Requirements

• Bash (with set -euo pipefail)
• Standard Unix utilities: date, wc, du, grep, tail, cat, sed
• No external dependencies or API keys required

When to Use

• To log and track data processing operations (ingest, transform, query, etc.)
• To maintain a searchable history of data pipeline activities
• To export accumulated records in JSON, CSV, or plain text format
• As part of larger automation or data-pipeline workflows
• When you need a lightweight, local-only data operation tracker

Examples

# Record a new ingest entry
data-labeler ingest "loaded customer_data.csv 5000 rows"

# View recent transform entries
data-labeler transform

# Search across all logs
data-labeler search "customer"

# Export everything as JSON
data-labeler export json

# Check overall statistics
data-labeler stats

# View recent activity
data-labeler recent

# Health check
data-labeler status

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