Metadata-Version: 2.1
Name: queryeasy
Version: 0.0.4
Summary: Execute SQL queries on data present in CSV or Excel files. Also allows to generate the query output files.
Home-page: https://github.com/dheerajalim/queryeasy
Author: Dheeraj Alimchandani
Author-email: dheeraj.alim@gmail.com
License: UNKNOWN
Project-URL: Bug Tracker, https://github.com/dheerajalim/queryeasy/issues
Description: # queryeasy
        Execute SQL queries on data present in CSV or Excel files. Also allows to generate the query output files.
        
        ## Features
        
        - Query the CSV or Excel files using sql queries
        - Provides the option to store the query output to .xls, .xlsx, .csv formats
        - Formats the output to fit in the terminal 
        - Removes the spaces from the column headers to ease query process
        - Saves the output file to default dir if no path is specified
        
        
        
        ## Installation
        
        You can pip install the package using
        
        ```sh
        pip install queryeasy
        ```
        
        The command line utility will be installed as 
        queryeasy to bin on Linux (e.g. /usr/bin); or as
        queryeasy.exe to Scripts in your Python installation on Windows 
        (e.g. C:\Python3\Scripts\tabulate.exe).
        
        
        After installing, check the version
        
        ```sh
        queryeasy --version
        ```
        
        ## Usage
        
        #### queryeasy [-h] [-s sheet_name] [-o output_file] [-v] filename sql_query
        
        It can be used to execute sql queries on csv file
        
        ```shell
        queryeasy sample.csv "select * from sample"
        ```
        
        It can be used to execute sql queries on excel file
        ```shell
        queryeasy sample.xls "select * from sample" -s Sheet1
        queryeasy sample.xlsx "select * from sample" -s Sheet3
        ```
        
        The output of the performed query can be saved to a csv or excel file
        
        ```shell
        queryeasy sample.xls "select * from sample" -s Sheet1 -o /path/output.xls
        queryeasy sample.xlsx "select * from sample" -s Sheet3 -o /path/output.xlsx
        queryeasy sample.xlsx "select * from sample" -s Sheet3 -o output.xlsx
        queryeasy sample.csv "select * from sample" -s Sheet3 -o /path/output.csv
        queryeasy sample.csv "select * from sample" -s Sheet3 -o output
        ```
        
        ## Arguments
        <pre>
        positional arguments: 
          filename              Enter the file path/name
          sql_query             Enter the SQL query
        
        optional arguments:
          -h, --help            show this help message and exit
          -s sheet_name, --sheet sheet_name
                                Provide the sheet name for excel file
          -o output_file, --output output_file
                                Output file path/name to store results
          -v, --version         show program's version number and exit
        </pre>
        
        ## Notes
        - Table names used in the SQL query should match the input CSV/Excel file names,
              without the ".csv" or ".xls" extension
        - While entering query, replace the spaces in column names with underscore(_)
        - The default output file extension is .csv
        - The output file supports ".xlsx", ".xls", ".csv" extensions as of now
        
        ## Contribute
        
        The library is in initial stage and requires a lot of work, please feel free to contribute
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Desktop Environment
Classifier: Environment :: Console
Requires-Python: >=3.6
Description-Content-Type: text/markdown
