Simple Python GUI with Tkinter for evaluating Microsoft Excel reports (.xlsx-Files).

Start main.py and choose one of the example rules that are currently included via the dropdown at the top left corner.

The rules will be explained in more detail below. The default is looking for a red background in any Excel-cell.

Now click "Choose directory" and select a directory that contains .xlsx-files for evaluation.

All .xlsx-files will be added to the list. Click "Start evaluation" to process the reports. Depending on file size this may take a while.

When the reports are processed the background color of the report in the list will change according to the selected ruleset. In the above example, test2 did not contain any cells with a red background, but test1 and test3 did. To see more details and extract the rows that contain the searched parameters, click on the report in the list.

When a report is flagged according to the specified rules, the affected lines will be displayed on the right in the Text widget.

The sample json file provided rules.json is an example for every possible rule currently implemented. The json file always needs to be named "rules.json" for now. Within the ruleset-list you can add, adjust or delete any of the components to your liking.

Every rule is required to have several parameters.

An example JSON-description of the rule looking for a red background within a cell would look like this:

    {
        "col": -1,
        "compare": "FFFF0000",
        "name": "RED BG",
        "operator": "==",
        "type": "BGCOLOR"
    }

If you wanted to modify this example to only look for a red background in column 7, it could look like this:

    {
        "col": 7,
        "compare": "FFFF0000",
        "name": "RED BG C7",
        "operator": "==",
        "type": "BGCOLOR"
    }