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openziti-edge 0.1.0
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csv-remapper 1.1.7
A GUI/CLI tool for manipulating CSV file data 
Requires Python: >=3.7

# CSV Remapper

A GUI/CLI tool for manipulating CSV file data

## Description

Allows you to remap, extract and combine data from multiple CSV sources.
Key features:
- Easy to use GUI for creating mapping Templates and processing files
- Batch-remap files using command line interface
- Combine data from multiple csv sources
- Extract data using Regex
- Omit data based on predefined values

## Getting Started

### Dependencies

* Python 3.7 or higher

### Installing

```
pip install csv-remapper
```

### Executing

Display help:
```
csv-remapper -h
```

Run in GUI mode:
```
csv-remapper
```

## Workflow

Launch `csv-remapper` in GUI mode and create an **Output Template** (Edit → New Template... → Output) by selecting a CSV file. 
This file doesn't need to contain any data (apart from the header) and should contain all the columns you wish to see in the final output.

Create an **Input Template** by selecting a CSV file containing sample data from your source application.

Open Template Editor (Edit → Edit Templates), select your Output template and begin remapping data by dragging and dropping table headers.
![](docs/images/template_editor_dragn_drop.png)

If some values need changing (e.g. date format) do so by selecting the correct In/Out data types (double-click to edit)
![](docs/images/template_editor_data_types.png)

If you have additional data you wish to insert, which is not present in your main input, you can do so by adding **Alias Data** tables in the Output section.
Populate the "Alias Values" column - these values will be used for selecting the correct row before data extraction.
As previously, drag and drop table headers in both Output and Input sections to create mappings.
![](docs/images/template_editor_alias_data.png)

All tables are editable via direct data manipulation (double-click) or the context menu (right-click)

Once the templates are set up, you can remap your CSV files via GUI or by using the command line, e.g.:

`csv-remapper -t "Out-Template-Name" -o "//output/dir" -f "file1.csv" "file2.csv" "file3.csv" ...`