discourse-ai/lib/completions/endpoints/fake.rb

174 lines
4.9 KiB
Ruby

# 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