LogBook

LogBook is a data processing and analysis toolkit for querying, importing, exporting, transforming, validating, and visualizing datasets from the terminal. It provides 10 core commands for working with structured data, plus built-in history logging and a quick dashboard view. All operations are local — no external APIs, databases, or network connections required.

Commands

Command	Description
INLINECODE0	Query data from the local data store. Logs the query action to history for auditing.
INLINECODE1

Import a data file into the local store. Accepts any file path as input. | | logbook export <dest> | Export processed results to a specified destination (defaults to stdout). | | logbook transform <src> <dst> | Transform data from one format or structure to another. | | logbook validate <args> | Validate data against the built-in schema. Reports schema compliance status. | | logbook stats <args> | Display basic statistics — total record count from the data log. | | logbook schema <args> | Show the current data schema. Default fields: id, name, value, timestamp. | | logbook sample <args> | Preview the first 5 records from the data store, or "No data" if the store is empty. | | logbook clean <args> | Clean and deduplicate the data store, removing redundant entries. | | logbook dashboard <args> | Quick dashboard showing total record count and summary metrics. | | logbook help | Show help with all available commands and usage information. | | logbook version | Print version string (logbook v2.0.0). |

Data Storage

All data is stored locally in ~/.local/share/logbook/ (override with LOGBOOK_DIR or XDG_DATA_HOME environment variables).

Directory structure:
CODEBLOCK0

Every command logs its action to history.log with a timestamp (MM-DD HH:MM) for full traceability. The main data file data.log holds all imported and processed records.

Requirements

• - Bash (with set -euo pipefail)
• Standard Unix utilities: date, wc, head, du, INLINECODE25
• No external dependencies, databases, or API keys required
• Optional: Set LOGBOOK_DIR environment variable to customize the data directory location

When to Use

1. 1. Importing and querying datasets — Pull in CSV, log, or structured data files and run quick queries against them from the terminal without needing a full database setup.
2. Data validation workflows — Validate incoming data against the built-in schema (id, name, value, timestamp) before processing to catch format issues early.
3. Data transformation pipelines — Transform data between formats or structures as part of an ETL-like workflow, all within a lightweight bash script.
4. Quick dashboard and statistics — Get instant record counts and summary metrics via dashboard or stats without writing custom aggregation scripts.
5. Data cleanup and deduplication — Use clean to remove duplicate records and normalize the data store before exporting or feeding into downstream analysis.

Examples

CODEBLOCK1

Environment Variables

Variable	Description	Default
INLINECODE31	Custom data directory path	INLINECODE32
INLINECODE33

XDG base data directory (fallback) | ~/.local/share |

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