ChartMaker#

A data toolkit for chart-related data logging and export. Record, transform, query, and export data entries — all from the command line, all stored locally.

Commands#

CommandWhat it doeschartmaker ingest <input>Log a new ingest entry (no args = show recent entries)chartmaker transform <input>Log a transform entrychartmaker query <input>Log a query entrychartmaker filter <input>Log a filter entrychartmaker aggregate <input>Log an aggregate entrychartmaker visualize <input>Log a visualize entrychartmaker export <input>Log an export entry (see also export with format below)chartmaker sample <input>Log a sample entrychartmaker schema <input>Log a schema entrychartmaker validate <input>Log a validate entrychartmaker pipeline <input>Log a pipeline entrychartmaker profile <input>Log a profile entrychartmaker statsShow summary statistics across all log fileschartmaker export <fmt>Export all data to json, csv, or txt formatchartmaker search <term>Search all entries for a term (case-insensitive)chartmaker recentShow the 20 most recent activity log entrieschartmaker statusHealth check — version, entry count, disk usagechartmaker helpShow usage and available commandschartmaker versionPrint version string

Each logging command (ingest, transform, query, etc.) accepts free-form text. Called without arguments, it shows the 20 most recent entries for that category.

Data Storage#

All data is stored locally in ~/.local/share/chartmaker/. Each command category writes to its own .log file, and all actions are recorded in history.log with timestamps.

Requirements#

• Bash 4+

When to Use#

• Logging chart and visualization data points from the command line
• Tracking data transformations and schema changes over time
• Exporting accumulated entries to JSON, CSV, or plain text for reports
• Searching across all logged entries to find specific visualization data
• Checking health and statistics of your local chart data store

Examples#

bash

# Log visualization data
chartmaker ingest "Monthly revenue: Jan=10k Feb=12k Mar=15k"

# Transform and record a data step
chartmaker transform "Normalized Q1 values to percentage scale"

# Search across all logs
chartmaker search "revenue"

# Export everything to CSV
chartmaker export csv

# View recent activity
chartmaker recent

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