discourse-ai/lib/classificator.rb
Sam 6ddc17fd61
DEV: port directory structure to Zeitwerk (#319)
Previous to this change we relied on explicit loading for a files in Discourse AI.

This had a few downsides:

- Busywork whenever you add a file (an extra require relative)
- We were not keeping to conventions internally ... some places were OpenAI others are OpenAi
- Autoloader did not work which lead to lots of full application broken reloads when developing.

This moves all of DiscourseAI into a Zeitwerk compatible structure.

It also leaves some minimal amount of manual loading (automation - which is loading into an existing namespace that may or may not be there)

To avoid needing /lib/discourse_ai/... we mount a namespace thus we are able to keep /lib pointed at ::DiscourseAi

Various files were renamed to get around zeitwerk rules and minimize usage of custom inflections

Though we can get custom inflections to work it is not worth it, will require a Discourse core patch which means we create a hard dependency.
2023-11-29 15:17:46 +11:00

82 lines
2.1 KiB
Ruby

# frozen_string_literal: true
module ::DiscourseAi
class Classificator
def initialize(classification_model)
@classification_model = classification_model
end
def classify!(target)
return :cannot_classify unless classification_model.can_classify?(target)
classification_model
.request(target)
.tap do |classification|
store_classification(target, classification)
verdicts = classification_model.get_verdicts(classification)
if classification_model.should_flag_based_on?(verdicts)
accuracies = get_model_accuracies(verdicts.keys)
flag!(target, classification, verdicts, accuracies)
end
end
end
protected
attr_reader :classification_model
def flag!(_target, _classification, _verdicts, _accuracies)
raise NotImplemented
end
def get_model_accuracies(models)
models
.map do |name|
accuracy =
ModelAccuracy.find_or_create_by(
model: name,
classification_type: classification_model.type,
)
[name, accuracy.calculate_accuracy]
end
.to_h
end
def add_score(reviewable)
reviewable.add_score(
Discourse.system_user,
ReviewableScore.types[:inappropriate],
reason: "flagged_by_#{classification_model.type}",
force_review: true,
)
end
def store_classification(target, classification)
attrs =
classification.map do |model_name, classifications|
{
model_used: model_name,
target_id: target.id,
target_type: target.class.sti_name,
classification_type: classification_model.type,
classification: classifications,
updated_at: DateTime.now,
created_at: DateTime.now,
}
end
ClassificationResult.upsert_all(
attrs,
unique_by: %i[target_id target_type model_used],
update_only: %i[classification],
)
end
def flagger
Discourse.system_user
end
end
end