discourse-ai/spec/lib/modules/ai_bot/bot_spec.rb

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# frozen_string_literal: true
require_relative "../../../support/openai_completions_inference_stubs"
class FakeBot < DiscourseAi::AiBot::Bot
class Tokenizer
def tokenize(text)
text.split(" ")
end
end
def tokenizer
Tokenizer.new
end
def prompt_limit
10_000
end
def build_message(poster_username, content, system: false, function: nil)
role = poster_username == bot_user.username ? "Assistant" : "Human"
"#{role}: #{content}"
end
def submit_prompt(prompt, prefer_low_cost: false)
rows = @responses.shift
rows.each { |data| yield data, lambda {} }
end
def get_delta(partial, context)
partial
end
def add_response(response)
@responses ||= []
@responses << response
end
end
describe FakeBot do
fab!(:bot_user) { User.find(DiscourseAi::AiBot::EntryPoint::GPT4_ID) }
fab!(:post) { Fabricate(:post, raw: "hello world") }
it "can handle command truncation for long messages" do
bot = FakeBot.new(bot_user)
bot.add_response(["hello this is a big test I am testing 123\n", "!tags\nabc"])
bot.add_response(["this is the reply"])
bot.reply_to(post)
reply = post.topic.posts.order(:post_number).last
expect(reply.raw).not_to include("abc")
expect(reply.post_custom_prompt.custom_prompt.to_s).not_to include("abc")
expect(reply.post_custom_prompt.custom_prompt.length).to eq(3)
expect(reply.post_custom_prompt.custom_prompt[0][0]).to eq(
"hello this is a big test I am testing 123\n!tags",
)
end
it "can handle command truncation for short bot messages" do
bot = FakeBot.new(bot_user)
bot.add_response(["hello\n", "!tags\nabc"])
bot.add_response(["this is the reply"])
bot.reply_to(post)
reply = post.topic.posts.order(:post_number).last
expect(reply.raw).not_to include("abc")
expect(reply.post_custom_prompt.custom_prompt.to_s).not_to include("abc")
expect(reply.post_custom_prompt.custom_prompt.length).to eq(3)
expect(reply.post_custom_prompt.custom_prompt[0][0]).to eq("hello\n!tags")
end
end
describe DiscourseAi::AiBot::Bot do
fab!(:bot_user) { User.find(DiscourseAi::AiBot::EntryPoint::GPT4_ID) }
fab!(:bot) { described_class.as(bot_user) }
fab!(:user) { Fabricate(:user) }
fab!(:pm) do
Fabricate(
:private_message_topic,
title: "This is my special PM",
user: user,
topic_allowed_users: [
Fabricate.build(:topic_allowed_user, user: user),
Fabricate.build(:topic_allowed_user, user: bot_user),
],
)
end
fab!(:first_post) { Fabricate(:post, topic: pm, user: user, raw: "This is a reply by the user") }
fab!(:second_post) do
Fabricate(:post, topic: pm, user: user, raw: "This is a second reply by the user")
end
describe "#system_prompt" do
it "includes relevant context in system prompt" do
bot.system_prompt_style!(:standard)
SiteSetting.title = "My Forum"
SiteSetting.site_description = "My Forum Description"
system_prompt = bot.system_prompt(second_post)
expect(system_prompt).to include(SiteSetting.title)
expect(system_prompt).to include(SiteSetting.site_description)
expect(system_prompt).to include(user.username)
end
end
describe "#reply_to" do
it "can respond to a search command" do
bot.system_prompt_style!(:simple)
expected_response = {
function_call: {
name: "search",
arguments: { query: "test search" }.to_json,
},
}
prompt = bot.bot_prompt_with_topic_context(second_post)
req_opts = bot.reply_params.merge({ functions: bot.available_functions, stream: true })
OpenAiCompletionsInferenceStubs.stub_streamed_response(
prompt,
[expected_response],
model: bot.model_for,
req_opts: req_opts,
)
result =
DiscourseAi::AiBot::Commands::SearchCommand
.new(bot_user: nil, args: nil)
.process(query: "test search")
.to_json
prompt << { role: "function", content: result, name: "search" }
OpenAiCompletionsInferenceStubs.stub_streamed_response(
prompt,
[content: "I found nothing, sorry"],
model: bot.model_for,
req_opts: req_opts,
)
bot.reply_to(second_post)
last = second_post.topic.posts.order("id desc").first
expect(last.raw).to include("<details>")
expect(last.raw).to include("<summary>Search</summary>")
expect(last.raw).not_to include("translation missing")
expect(last.raw).to include("I found nothing")
expect(last.post_custom_prompt.custom_prompt).to eq(
[[result, "search", "function"], ["I found nothing, sorry", bot_user.username]],
)
end
end
describe "#update_pm_title" do
let(:expected_response) { "This is a suggested title" }
before { SiteSetting.min_personal_message_post_length = 5 }
it "updates the title using bot suggestions" do
OpenAiCompletionsInferenceStubs.stub_response(
bot.title_prompt(second_post),
expected_response,
model: bot.model_for,
req_opts: {
temperature: 0.7,
top_p: 0.9,
max_tokens: 40,
},
)
bot.update_pm_title(second_post)
expect(pm.reload.title).to eq(expected_response)
end
end
end