azql 0.1.3

AZQL is a tool for converting data files (CSV, JSON) to SQL DDL (Data Definition Language) scripts.

AZQL

AZQL is a tool for converting data files (CSV, TSV, JSON) to SQL DDL (Data Definition Language) scripts. It analyzes data files, detects data types, and generates appropriate SQL scripts for table creation.

Features

• Analyzes data from CSV and JSON files
• Automatically detects column data types
• Generates SQL DDL scripts for table creation
• Supports multiple SQL dialects (including TSQL)
• Validates data integrity before conversion
• Customizable SQL formatting options
• CLI and Python module interfaces

Installation

pip install azql

CLI Usage

AZQL can be used as a command-line tool to convert data files to SQL DDL scripts:

# Convert a single CSV file to SQL DDL
azql convert data.csv --dialect tsql --schema dbo

# Process all supported files in a directory
azql convert ./data_directory ./sql_scripts

# Customize the conversion with options
azql convert users.json --dialect tsql -s app -n 1000 --drop-table

CLI Options

# azql convert -h

usage: azql convert [-h] [-d DIALECT] [-s SCHEMA] [-t TABLE_NAME] [-n SAMPLE_SIZE] [--skip-validation] [--style STYLE] [--drop-table] input_file [output_dir]

positional arguments:
  input_file         Path to input data file / folder (csv, json)
  output_dir         Path to output SQL file

options:
  -h, --help         show this help message and exit
  -d, --dialect      SQL dialect (default: tsql, [mysql, postgresql])
  -s, --schema       SQL schema name, default `dbo`
  -t, --table-name   Name of the SQL table to create
  -n, --sample-size  Number of rows to sample for type detection
  --skip-validation  Skip data validation step.
  --style            Column style (default: input, [camel, pascal, snake])
  --drop-table       Include DROP TABLE statement, force drop

Python Module Usage

AZQL can also be imported and used as a Python module:

from pathlib import Path
import azql

# Convert a single CSV file to a SQL DDL script
ddl = azql.convert("data.csv", dialect="tsql", schema="dbo")
print(ddl)

# Process all supported files in a directory
azql.convert(Path("data_directory"), export=True)

# Customize the conversion with parameters
ddl = azql.convert(
    "users.json",
    sample_size=1000,
    dialect="tsql",
    schema="app",
    drop_table=True,
    style="snake",
)

Example Output

/*

ddl = azql.convert(
    "users.json", dialect="tsql", schema="app", drop_table=True, style="snake"
)

*/
IF OBJECT_ID('app.users', 'U') IS NOT NULL
    DROP TABLE [app].[users];

CREATE TABLE [app].[users] (
      [id] INT NOT NULL
    , [name] NVARCHAR(100) NOT NULL
    , [email] NVARCHAR(255) NOT NULL
    , [created_at] DATETIME2 NOT NULL
    , [is_active] BIT NOT NULL
);

License

GNU General Public License v3.0

Developer Notice

This package was developed with the assistance of GitHub Copilot for documentation and testing purposes. However, every line of code has been manually reviewed and verified by the developers to ensure quality and security.