Replace normalize with integer wrapper for quantity field

[eeintech]

In a attempt to fix #1443

I don't see when can the BOM Item quantity be a decimal number and it was causing the error in the BOM export because the PyYAML library doesn't have a Decimal object representation.

[SchrodingersGat]

There are definitely cases where the BOM quantity can be a non integer number - e.g. you might need 0.15m of heatshrink.

Maybe we can replace normalize here with a float?

[eeintech]

Looks like float would work for YAML:

>>> import yaml
>>> dec = 1.23456
>>> print(dec)
1.23456
>>> type(dec)
<class 'float'>
>>> yaml.safe_dump(dec)
'1.23456\n...\n'
>>> dec = 1.2345600000
>>> yaml.safe_dump(dec)
'1.23456\n...\n'

But I'm not sure all the other formats would remove the trailing zeros...

[SchrodingersGat]

Can we check the output format and choose 'float' if it is a yaml file?

[eeintech]

I don't really find a good way to check the export format and pass it to the dehydrate_quantity method... I'll take another look soon

[SchrodingersGat]

Ok, what does the output look like for a .csv file? Does it suppress the trailing zeros correctly?

[eeintech]

@SchrodingersGat I tested all formats with float and CSV, TSV and XLS gets no decimal digits for integer quantities and the right amount of digits for decimal numbers, while XLSX, JSON and YAML get one digit for integer quantities and also the right amount of digits for decimal numbers.

So if we are okay that quantity of 10 becomes 10.0 for XLSX, JSON and YAML then float is a great option 😃

[SchrodingersGat]

Seems like a reasonable compromise.

[SchrodingersGat]

Thanks for the fix :)

[eeintech]

No problem, thanks for merging 👍