mirror of
https://github.com/maybe-finance/maybe.git
synced 2025-07-18 20:59:39 +02:00
* AI sidebar * Add chat and message models with associations * Implement AI chat functionality with sidebar and messaging system - Add chat and messages controllers - Create chat and message views - Implement chat-related routes - Add message broadcasting and user interactions - Update application layout to support chat sidebar - Enhance user model with initials method * Refactor AI sidebar with enhanced chat menu and interactions - Update sidebar layout with dynamic width and improved responsiveness - Add new chat menu Stimulus controller for toggling between chat and chat list views - Improve chat list display with recent chats and empty state - Extract AI avatar to a partial for reusability - Enhance message display and interaction styling - Add more contextual buttons and interaction hints * Improve chat scroll behavior and message styling - Refactor chat scroll functionality with Stimulus controller - Optimize message scrolling in chat views - Update message styling for better visual hierarchy - Enhance chat container layout with flex and auto-scroll - Simplify message rendering across different chat views * Extract AI avatar to a shared partial for consistent styling - Refactor AI avatar rendering across chat views - Replace hardcoded avatar markup with a reusable partial - Simplify avatar display in chats and messages views * Update sidebar controller to handle right panel width dynamically - Add conditional width class for right sidebar panel - Ensure consistent sidebar toggle behavior for both left and right panels - Use specific width class for right panel (w-[375px]) * Refactor chat form and AI greeting with flexible partials - Extract message form to a reusable partial with dynamic context support - Create flexible AI greeting partial for consistent welcome messages - Simplify chat and sidebar views by leveraging new partials - Add support for different form scenarios (chat, new chat, sidebar) - Improve code modularity and reduce duplication * Add chat clearing functionality with dynamic menu options - Implement clear chat action in ChatsController - Add clear chat route to support clearing messages - Update AI sidebar with dropdown menu for chat actions - Preserve system message when clearing chat - Enhance chat interaction with new menu options * Add frontmatter to project structure documentation - Create initial frontmatter for structure.mdc file - Include description and configuration options - Prepare for potential dynamic documentation rendering * Update general project rules with additional guidelines - Add rule for using `Current.family` instead of `current_family` - Include new guidelines for testing, API routes, and solution approach - Expand project-specific rules for more consistent development practices * Add OpenAI gem and AI-friendly data representations - Add `ruby-openai` gem for AI integration - Implement `to_ai_readable_hash` methods in BalanceSheet and IncomeStatement - Include Promptable module in both models - Add savings rate calculation method in IncomeStatement - Prepare financial models for AI-powered insights and interactions * Enhance AI Financial Assistant with Advanced Querying and Debugging Capabilities - Implement comprehensive AI financial query system with function-based interactions - Add detailed debug logging for AI responses and function calls - Extend BalanceSheet and IncomeStatement models with AI-friendly methods - Create robust error handling and fallback mechanisms for AI queries - Update chat and message views to support debug mode and enhanced rendering - Add AI query routes and initial test coverage for financial assistant * Refactor AI sidebar and chat layout with improved structure and comments - Remove inline AI chat from application layout - Enhance AI sidebar with more semantic HTML structure - Add descriptive comments to clarify different sections of chat view - Improve flex layout and scrolling behavior in chat messages container - Optimize message rendering with more explicit class names and structure * Add Markdown rendering support for AI chat messages - Implement `markdown` helper method in ApplicationHelper using Redcarpet - Update message view to render AI messages with Markdown formatting - Add comprehensive Markdown rendering options (tables, code blocks, links) - Enhance AI Financial Assistant prompt to encourage Markdown usage - Remove commented Markdown CSS in Tailwind application stylesheet * Missing comma * Enhance AI response processing with chat history context * Improve AI debug logging with payload size limits and internal message flag * Enhance AI chat interaction with improved thinking indicator and scrolling behavior * Add AI consent and enable/disable functionality for AI chat * Upgrade Biome and refactor JavaScript template literals - Update @biomejs/biome to latest version with caret (^) notation - Refactor AI query and chat controllers to use template literals - Standardize npm scripts formatting in package.json * Add beta testing usage note to AI consent modal * Update test fixtures and configurations for AI chat functionality - Add family association to chat fixtures and tests - Set consistent password digest for test users - Enable AI for test users - Add OpenAI access token for test environment - Update chat and user model tests to include family context * Simplify data model and get tests passing * Remove structure.mdc from version control * Integrate AI chat styles into existing prose pattern * Match Figma design spec, implement Turbo frames and actions for chats controller * AI rules refresh * Consolidate Stimulus controllers, thinking state, controllers, and views * Naming, domain alignment * Reset migrations * Improve data model to support tool calls and message types * Tool calling tests and fixtures * Tool call implementation and test * Get assistant test working again * Test updates * Process tool calls within provider * Chat UI back to working state again * Remove stale code * Tests passing * Update openai class naming to avoid conflicts * Reconfigure test env * Rebuild gemfile * Fix naming conflicts for ChatResponse * Message styles * Use OpenAI conversation state management * Assistant function base implementation * Add back thinking messages, clean up error handling for chat * Fix sync error when security price has bad data from provider * Add balance sheet function to assistant * Add better function calling error visibility * Add income statement function * Simplify and clean up "thinking" interactions with Turbo frames * Remove stale data definitions from functions * Ensure VCR fixtures working with latest code * basic stream implementation * Get streaming working * Make AI sidebar wider when left sidebar is collapsed * Get tests working with streaming responses * Centralize provider error handling * Provider data boundaries --------- Co-authored-by: Josh Pigford <josh@joshpigford.com>
125 lines
4 KiB
Ruby
125 lines
4 KiB
Ruby
class Assistant::Function::GetIncomeStatement < Assistant::Function
|
|
include ActiveSupport::NumberHelper
|
|
|
|
class << self
|
|
def name
|
|
"get_income_statement"
|
|
end
|
|
|
|
def description
|
|
<<~INSTRUCTIONS
|
|
Use this to get income and expense insights by category, for a specific time period
|
|
|
|
This is great for answering questions like:
|
|
- What is the user's net income for the current month?
|
|
- What are the user's spending habits?
|
|
- How much income or spending did the user have over a specific time period?
|
|
|
|
Simple example:
|
|
|
|
```
|
|
get_income_statement({
|
|
start_date: "2024-01-01",
|
|
end_date: "2024-12-31"
|
|
})
|
|
```
|
|
INSTRUCTIONS
|
|
end
|
|
end
|
|
|
|
def call(params = {})
|
|
period = Period.custom(start_date: Date.parse(params["start_date"]), end_date: Date.parse(params["end_date"]))
|
|
income_data = family.income_statement.income_totals(period: period)
|
|
expense_data = family.income_statement.expense_totals(period: period)
|
|
|
|
{
|
|
currency: family.currency,
|
|
period: {
|
|
start_date: period.start_date,
|
|
end_date: period.end_date
|
|
},
|
|
income: {
|
|
total: format_money(income_data.total),
|
|
by_category: to_ai_category_totals(income_data.category_totals)
|
|
},
|
|
expense: {
|
|
total: format_money(expense_data.total),
|
|
by_category: to_ai_category_totals(expense_data.category_totals)
|
|
},
|
|
insights: get_insights(income_data, expense_data)
|
|
}
|
|
end
|
|
|
|
def params_schema
|
|
build_schema(
|
|
required: [ "start_date", "end_date" ],
|
|
properties: {
|
|
start_date: {
|
|
type: "string",
|
|
description: "Start date for aggregation period in YYYY-MM-DD format"
|
|
},
|
|
end_date: {
|
|
type: "string",
|
|
description: "End date for aggregation period in YYYY-MM-DD format"
|
|
}
|
|
}
|
|
)
|
|
end
|
|
|
|
private
|
|
def format_money(value)
|
|
Money.new(value, family.currency).format
|
|
end
|
|
|
|
def calculate_savings_rate(total_income, total_expenses)
|
|
return 0 if total_income.zero?
|
|
savings = total_income - total_expenses
|
|
rate = (savings / total_income.to_f) * 100
|
|
rate.round(2)
|
|
end
|
|
|
|
def to_ai_category_totals(category_totals)
|
|
hierarchical_groups = category_totals.group_by { |ct| ct.category.parent_id }.then do |grouped|
|
|
root_category_totals = grouped[nil] || []
|
|
|
|
root_category_totals.each_with_object({}) do |ct, hash|
|
|
subcategory_totals = ct.category.name == "Uncategorized" ? [] : (grouped[ct.category.id] || [])
|
|
hash[ct.category.name] = {
|
|
category_total: ct,
|
|
subcategory_totals: subcategory_totals
|
|
}
|
|
end
|
|
end
|
|
|
|
hierarchical_groups.sort_by { |name, data| -data.dig(:category_total).total }.map do |name, data|
|
|
{
|
|
name: name,
|
|
total: format_money(data.dig(:category_total).total),
|
|
percentage_of_total: number_to_percentage(data.dig(:category_total).weight, precision: 1),
|
|
subcategory_totals: data.dig(:subcategory_totals).map do |st|
|
|
{
|
|
name: st.category.name,
|
|
total: format_money(st.total),
|
|
percentage_of_total: number_to_percentage(st.weight, precision: 1)
|
|
}
|
|
end
|
|
}
|
|
end
|
|
end
|
|
|
|
def get_insights(income_data, expense_data)
|
|
net_income = income_data.total - expense_data.total
|
|
savings_rate = calculate_savings_rate(income_data.total, expense_data.total)
|
|
median_monthly_income = family.income_statement.median_income
|
|
median_monthly_expenses = family.income_statement.median_expense
|
|
avg_monthly_expenses = family.income_statement.avg_expense
|
|
|
|
{
|
|
net_income: format_money(net_income),
|
|
savings_rate: number_to_percentage(savings_rate),
|
|
median_monthly_income: format_money(median_monthly_income),
|
|
median_monthly_expenses: format_money(median_monthly_expenses),
|
|
avg_monthly_expenses: format_money(avg_monthly_expenses)
|
|
}
|
|
end
|
|
end
|