# frozen_string_literal: true module DiscourseAi module Completions module Endpoints class Fake < Base STOCK_CONTENT = <<~TEXT # Discourse Markdown Styles Showcase Welcome to the **Discourse Markdown Styles Showcase**! This _post_ is designed to demonstrate a wide range of Markdown capabilities available in Discourse. ## Lists and Emphasis - **Bold Text**: To emphasize a point, you can use bold text. - _Italic Text_: To subtly highlight text, italics are perfect. - ~~Strikethrough~~: Sometimes, marking text as obsolete requires a strikethrough. > **Note**: Combining these _styles_ can **_really_** make your text stand out! 1. First item 2. Second item * Nested bullet * Another nested bullet 3. Third item ## Links and Images You can easily add [links](https://meta.discourse.org) to your posts. For adding images, use this syntax: ![Discourse Logo](https://meta.discourse.org/images/discourse-logo.svg) ## Code and Quotes Inline `code` is used for mentioning small code snippets like `let x = 10;`. For larger blocks of code, fenced code blocks are used: ```javascript function greet() { console.log("Hello, Discourse Community!"); } greet(); ``` > Blockquotes can be very effective for highlighting user comments or important sections from cited sources. They stand out visually and offer great readability. ## Tables and Horizontal Rules Creating tables in Markdown is straightforward: | Header 1 | Header 2 | Header 3 | | ---------|:--------:| --------:| | Row 1, Col 1 | Centered | Right-aligned | | Row 2, Col 1 | **Bold** | _Italic_ | | Row 3, Col 1 | `Inline Code` | [Link](https://meta.discourse.org) | To separate content sections: --- ## Final Thoughts Congratulations, you've now seen a small sample of what Discourse's Markdown can do! For more intricate formatting, consider exploring the advanced styling options. Remember that the key to great formatting is not just the available tools, but also the **clarity** and **readability** it brings to your readers. TEXT def self.can_contact?(model_provider) model_provider == "fake" end def self.with_fake_content(content) @fake_content = content yield ensure @fake_content = nil end def self.fake_content=(content) @fake_content = content end def self.fake_content @fake_content || STOCK_CONTENT end def self.delays @delays ||= Array.new(10) { rand * 6 } end def self.delays=(delays) @delays = delays end def self.chunk_count @chunk_count ||= 10 end def self.chunk_count=(chunk_count) @chunk_count = chunk_count end def self.last_call @last_call end def self.last_call=(params) @last_call = params end def self.previous_calls @previous_calls ||= [] end def self.reset! @last_call = nil @fake_content = nil @delays = nil @chunk_count = nil end def perform_completion!( dialect, user, model_params = {}, feature_name: nil, feature_context: nil, partial_tool_calls: false ) last_call = { dialect: dialect, user: user, model_params: model_params } self.class.last_call = last_call self.class.previous_calls << last_call # guard memory in test self.class.previous_calls.shift if self.class.previous_calls.length > 10 content = self.class.fake_content content = content.shift if content.is_a?(Array) if block_given? if content.is_a?(DiscourseAi::Completions::ToolCall) yield(content, -> {}) else split_indices = (1...content.length).to_a.sample(self.class.chunk_count - 1).sort indexes = [0, *split_indices, content.length] original_content = content content = +"" cancel = false cancel_proc = -> { cancel = true } i = 0 indexes .each_cons(2) .map { |start, finish| original_content[start...finish] } .each do |chunk| break if cancel if self.class.delays.present? && (delay = self.class.delays[i % self.class.delays.length]) sleep(delay) i += 1 end break if cancel content << chunk yield(chunk, cancel_proc) end end end content end end end end end