106 lines
3.7 KiB
Ruby
106 lines
3.7 KiB
Ruby
# frozen_string_literal: true
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if defined?(DiscourseAutomation)
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module DiscourseAutomation::LlmReport
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end
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DiscourseAutomation::Scriptable::LLM_REPORT = "llm_report"
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DiscourseAutomation::Scriptable.add(DiscourseAutomation::Scriptable::LLM_REPORT) do
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version 1
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triggerables %i[recurring]
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field :sender, component: :user, required: true
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field :receivers, component: :users
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field :topic_id, component: :text
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field :title, component: :text
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field :days, component: :text, required: true, default_value: 7
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field :offset, component: :text, required: true, default_value: 0
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field :instructions,
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component: :message,
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required: true,
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default_value: DiscourseAi::Automation::ReportRunner.default_instructions
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field :sample_size, component: :text, required: true, default_value: 100
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field :tokens_per_post, component: :text, required: true, default_value: 150
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field :model,
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component: :choices,
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required: true,
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extra: {
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content: DiscourseAi::Automation::AVAILABLE_MODELS,
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}
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field :priority_group, component: :group
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field :categories, component: :categories
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field :tags, component: :tags
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field :exclude_categories, component: :categories
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field :exclude_tags, component: :tags
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field :allow_secure_categories, component: :boolean
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field :top_p, component: :text, required: true, default_value: 0.1
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field :temperature, component: :text, required: true, default_value: 0.2
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field :debug_mode, component: :boolean
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script do |context, fields, automation|
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begin
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sender = fields.dig("sender", "value")
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receivers = fields.dig("receivers", "value")
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topic_id = fields.dig("topic_id", "value")
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title = fields.dig("title", "value")
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model = fields.dig("model", "value")
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category_ids = fields.dig("categories", "value")
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tags = fields.dig("tags", "value")
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allow_secure_categories = !!fields.dig("allow_secure_categories", "value")
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debug_mode = !!fields.dig("debug_mode", "value")
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sample_size = fields.dig("sample_size", "value")
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instructions = fields.dig("instructions", "value")
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days = fields.dig("days", "value")
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offset = fields.dig("offset", "value").to_i
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priority_group = fields.dig("priority_group", "value")
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tokens_per_post = fields.dig("tokens_per_post", "value")
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exclude_category_ids = fields.dig("exclude_categories", "value")
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exclude_tags = fields.dig("exclude_tags", "value")
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# set defaults in code to support easy migration for old rules
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top_p = 0.1
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top_p = fields.dig("top_p", "value").to_f if fields.dig("top_p", "value")
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temperature = 0.2
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temperature = fields.dig("temperature", "value").to_f if fields.dig("temperature", "value")
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DiscourseAi::Automation::ReportRunner.run!(
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sender_username: sender,
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receivers: receivers,
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topic_id: topic_id,
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title: title,
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model: model,
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category_ids: category_ids,
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tags: tags,
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allow_secure_categories: allow_secure_categories,
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debug_mode: debug_mode,
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sample_size: sample_size,
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instructions: instructions,
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days: days,
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offset: offset,
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priority_group_id: priority_group,
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tokens_per_post: tokens_per_post,
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exclude_category_ids: exclude_category_ids,
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exclude_tags: exclude_tags,
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temperature: temperature,
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top_p: top_p,
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)
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rescue => e
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Discourse.warn_exception e, message: "Error running LLM report!"
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if Rails.env.development?
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p e
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puts e.backtrace
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end
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end
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end
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end
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end
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