mirror of
https://ghfast.top/https://github.com/discourse/discourse-ai.git
synced 2026-07-16 11:36:23 +08:00
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.
175 lines
5 KiB
Ruby
175 lines
5 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:
|
|
|
|

|
|
|
|
## 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) { Rails.env.test? ? 0 : rand(0..5) }
|
|
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,
|
|
output_thinking: false,
|
|
cancel_manager: nil
|
|
)
|
|
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
|