csvcatalog 2.19

tool for creating catalog from .csv tables in sqlite storage

CSVCatalog

a simple cli tool for wrangling csv files and shoving them into a sqlite database. no more manual scripts, no more headaches

What's this? 🤔

tired of messing around with csvs and databases separately? me too. that's why i built catalog. it's a simple, no-nonsense tool that lets you:

• import csv files into a sqlite database with an interactive wizard.
• search your data with a powerful, flexible query syntax.
• export your data back to csv whenever you need it.
• manage your database with a set of easy-to-use commands.

Getting Started 🚀

1. install

pip install csvcatalog

2. run a command

the basic structure is csvcatalog COMMAND [ARGS]. for example, to see all tables:

csvcatalog --help

by default, the database is stored in a user-specific data directory. you can specify a custom database file with the dbfile command:

# Optional
csvcatalog settings dbfile /path/to/your/database.db

you can setup aes256 encryption for database file

# Optional
csvcatalog settings encryption true

3. extract your csv data table

csvcatalog extract path/to/my/data.csv

Commands 🕹️

typer provides help for all commands. just run csvcatalog --help or csvcatalog <command> --help for more details.

• extract <file.csv>: run an interactive wizard to import a csv file. you can map columns, select which ones to import, and apply regex filters to include/exclude specific rows.
• search <value> [targets...]: search for a value across one or more tables and columns.
• export [table_names...]: export one or more tables to csv files.
  • if one table is specified, runs a full interactive wizard.
  • if multiple tables are specified (or none, for all tables), runs a bulk export. you can choose to configure filters for specific tables.
• delete <table_name>: delete a table from the database.
• sql "<query>": execute a raw sql query on the database.
• purge: delete all tables from the database.

Command Groups

these commands group related functionality.

tables

manage and view tables.

• tables list: list all tables in the database.
  • --description <text>: filter by text in the description.
  • --rows <min_count>: filter by minimum row count.
  • --date <yyyy-mm-dd>: filter by tables created on or after a certain date.
  • --sort <name|rows|date>: sort the output.
• tables edit [table_name]: interactively edit a table's metadata (name, description, or date). if table_name is omitted, a selector will be shown.

settings

manage application settings. running csvcatalog settings will show current settings.

• settings dbfile <path>: set a custom path for the database file.
• settings encryption <true|false>: enable or disable database encryption.

filters

manage saved reusable regex filters for extract and export. running csvcatalog filters will list all saved filters.

• filters add <name> <regex>: create a new named filter.
• filters remove [name]: remove a filter by name, or run interactively if no name is provided.

the mighty search command

the search command lets you specify exactly where to look for your data. a "target" can be a table, a specific column in a table, or a column across all tables.

search for a value in all tables (default behavior):

# looks for 'jane' everywhere
csvcatalog search "jane"

search for a value in specific tables:

# looks for 'jane' in the 'users' and 'customers' tables
csvcatalog search "jane" users customers

search for a value in a specific column of a specific table:

# looks for the email in the 'email' column of the 'users' table
csvcatalog search "[e-mail]" users.email

search for a value in a specific column across all tables:

# finds any entry with a 'status' of 'active' in any table
csvcatalog search "active" "*.status"

combine any of these targets in one command:

# a totally valid and powerful query
csvcatalog search "jane" users.name products

contributing are welcome 🤝