msv 1.0.3

A powerful CLI tool for merging and transforming CSV/XLSX files

MSV - Merge Source Values

A powerful CLI tool for merging and transforming CSV/XLSX files with natural language support.

Features

• Merge data from CSV and Excel files
• Case-sensitive or case-insensitive matching
• Multiple join types (left, right, outer, inner)
• Excel sheet support
• Natural language interface
• Column mapping with custom names

Installation

pip install msv

Usage

Command Line

msv --source customers.csv --destination orders.csv --match-column email --columns "name,phone"

Natural Language Interface

msv --natural
> merge customers.csv and orders.csv using email column, copy name and phone, ignore case

Options

• --source, -s: Source file path (.csv or .xlsx)
• --destination, -d: Destination file path (.csv or .xlsx)
• --match-column, -m: Column to match between files
• --columns, -c: Columns to copy (comma-separated)
• --ignore-case, -i: Ignore case when matching
• --join: Join type (left, outer, inner)
• --output, -o: Custom output file path
• --source-sheet: Sheet name for source Excel file
• --dest-sheet: Sheet name for destination Excel file
• --output-sheet: Sheet name for output Excel file (defaults to dest-sheet)

Excel Sheet Support

When working with Excel files (.xlsx), you can specify sheet names:

# Merge specific sheets from Excel files
msv \
  --source users.xlsx \
  --destination accounts.xlsx \
  --match-column email \
  --columns "name,phone" \
  --source-sheet Users \
  --dest-sheet Accounts

# Write to a different output sheet
msv \
  --source data.xlsx \
  --destination report.xlsx \
  --match-column id \
  --columns "value,category" \
  --source-sheet Raw \
  --dest-sheet Current \
  --output-sheet "March 2024"

If no sheet is specified:

• For source files: Uses the first sheet
• For destination files: Uses the first sheet or creates "Sheet1"
• Available sheets are listed when reading Excel files

Configuration

The application supports multiple AI providers for natural language processing. Configure your preferred settings in config.toml:

1. Copy the example configuration file:

cp config.toml.example config.toml

Development

Requirements

• Python 3.7+
• pandas
• openpyxl

Running Tests

python -m unittest discover tests

License

MIT