discourse-ai/db/fixtures/personas/603_ai_personas.rb
Sam c34fcc8a95
FEATURE: forum researcher persona for deep research (#1313)
This commit introduces a new Forum Researcher persona specialized in deep forum content analysis along with comprehensive improvements to our AI infrastructure.

Key additions:

    New Forum Researcher persona with advanced filtering and analysis capabilities
    Robust filtering system supporting tags, categories, dates, users, and keywords
    LLM formatter to efficiently process and chunk research results

Infrastructure improvements:

    Implemented CancelManager class to centrally manage AI completion cancellations
    Replaced callback-based cancellation with a more robust pattern
    Added systematic cancellation monitoring with callbacks

Other improvements:

    Added configurable default_enabled flag to control which personas are enabled by default
    Updated translation strings for the new researcher functionality
    Added comprehensive specs for the new components

    Renames Researcher -> Web Researcher

This change makes our AI platform more stable while adding powerful research capabilities that can analyze forum trends and surface relevant content.
2025-05-14 12:36:16 +10:00

84 lines
2.6 KiB
Ruby

# frozen_string_literal: true
summarization_personas = [DiscourseAi::Personas::Summarizer, DiscourseAi::Personas::ShortSummarizer]
def from_setting(setting_name)
DB.query_single(
"SELECT value FROM site_settings WHERE name = :setting_name",
setting_name: setting_name,
)
end
DiscourseAi::Personas::Persona.system_personas.each do |persona_class, id|
persona = AiPersona.find_by(id: id)
if !persona
persona = AiPersona.new
persona.id = id
if persona_class == DiscourseAi::Personas::WebArtifactCreator
# this is somewhat sensitive, so we default it to staff
persona.allowed_group_ids = [Group::AUTO_GROUPS[:staff]]
elsif summarization_personas.include?(persona_class)
# Copy group permissions from site settings.
default_groups = [Group::AUTO_GROUPS[:staff], Group::AUTO_GROUPS[:trust_level_3]]
setting_name = "ai_custom_summarization_allowed_groups"
if persona_class == DiscourseAi::Personas::ShortSummarizer
setting_name = "ai_summary_gists_allowed_groups"
default_groups = [Group::AUTO_GROUPS[:everyone]]
end
persona.allowed_group_ids = from_setting(setting_name).first&.split("|") || default_groups
else
persona.allowed_group_ids = [Group::AUTO_GROUPS[:trust_level_0]]
end
persona.enabled = persona_class.default_enabled
persona.priority = true if persona_class == DiscourseAi::Personas::General
end
names = [
persona_class.name,
persona_class.name + " 1",
persona_class.name + " 2",
persona_class.name + SecureRandom.hex,
]
persona.name = DB.query_single(<<~SQL, names, id).first
SELECT guess_name
FROM (
SELECT unnest(Array[?]) AS guess_name
FROM (SELECT 1) as t
) x
LEFT JOIN ai_personas ON ai_personas.name = x.guess_name AND ai_personas.id <> ?
WHERE ai_personas.id IS NULL
ORDER BY x.guess_name ASC
LIMIT 1
SQL
persona.description = persona_class.description
persona.system = true
instance = persona_class.new
tools = {}
instance.tools.map { |tool| tool.to_s.split("::").last }.each { |name| tools[name] = nil }
existing_tools = persona.tools || []
existing_tools.each do |tool|
if tool.is_a?(Array)
name, value = tool
tools[name] = value if tools.key?(name)
end
end
persona.tools = tools.map { |name, value| [name, value] }
persona.response_format = instance.response_format
persona.examples = instance.examples
persona.system_prompt = instance.system_prompt
persona.top_p = instance.top_p
persona.temperature = instance.temperature
persona.save!(validate: false)
end