Allow to set parameteres like threshold

[manycoding]

A reloadable config or passing arguments is needed, so anybody can set report_all() at once:
E.g. we have threshold for coverage diff, which defaults to 0.2, so the config might look like:

config = Config()
config.threshold = 0.1
Arche(source, target, config).report_all()

[manycoding]

It can be:

1. A config
2. Parameters from top-level - arche.report_all(threshold=0.2)
3. Environment variables - in a notebook

%env THRESHOLD=0.2
...
arche.report_all()

[manycoding]

@ejulio Any comments or ideas?

[ejulio]

@manycoding , my idea here is, if it is only a config for report_all, then it would be better to set it only in report_all.

Since most of the time arche runs in jupyter notebooks, I don't think an environment variable is a good choice, at least at first.

So, my idea of an API would be

a = Arche(source, target)
a.report_all(
threshold=0.2
)
# or
a.report_all({
"threshold": 0.2
})

Both are fine and can be accomplished by **kwargs or **config (to use a better name)

[manycoding]

@ejulio Do you think these threshold should be treated equally or be separated?

1. Coverage diff between jobs (currently 0.1 for errors and 0.05 for warnings)
2. Category diff between jobs (0.2, 0.1)
3. Boolean diff between jobs (0.1, 0.05)

[ejulio]

IMHO, they should be different.
I might accept a diff of 0.3 in categories but only 0.05 for coverage for example.
So

a = Arche(source, target)
a.report_all(
    coverage_threshold=(0.1, 0.05),
    category_threshold=(0.3, 0.1)
)

Though I'm not sure about tuples in the example above.
I don't know what the numbers mean and their use cases unless I read the docs/underlying code.

Maybe NamedTuples or a simple data class.

@dataclass
class ReportThreshold:
    error_threshold: float
    warning_threshold: float