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Personal finance AI (v1) (#2022)
* 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>
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@ -1,7 +1,7 @@
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---
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description: This rule explains the system architecture and data flow of the Rails app
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globs: *
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alwaysApply: false
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alwaysApply: true
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---
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This file outlines how the codebase is structured and how data flows through the app.
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@ -111,12 +111,12 @@ Below are brief descriptions of each type of sync in more detail.
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### Account Syncs
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The most important type of sync is the account sync. It is orchestrated by the account [syncer.rb](mdc:app/models/account/syncer.rb), and performs a few important tasks:
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The most important type of sync is the account sync. It is orchestrated by the account's `sync_data` method, which performs a few important tasks:
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- Auto-matches transfer records for the account
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- Calculates holdings and balances for the account
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- Enriches transaction data
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- Converts account balances that are not in the family's preferred currency to the preferred currency
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- Calculates daily [balance.rb](mdc:app/models/account/balance.rb) records for the account from `account.start_date` to `Date.current` using [base_calculator.rb](mdc:app/models/account/balance/base_calculator.rb)
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- Balances are dependent on the calculation of [holding.rb](mdc:app/models/account/holding.rb), which uses [base_calculator.rb](mdc:app/models/account/holding/base_calculator.rb)
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- Enriches transaction data if enabled by user
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An account sync happens every time an [entry.rb](mdc:app/models/account/entry.rb) is updated.
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@ -136,21 +136,7 @@ A family sync happens once daily via [auto_sync.rb](mdc:app/controllers/concerns
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The Maybe app utilizes several 3rd party data services to calculate historical account balances, enrich data, and more. Since the app can be run in both "hosted" and "self hosted" mode, this means that data providers are _optional_ for self hosted users and must be configured.
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Because of this optionality, data providers must be configured at _runtime_ through the [providers.rb](mdc:app/models/providers.rb) module, utilizing [setting.rb](mdc:app/models/setting.rb) for runtime parameters like API keys:
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```rb
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module Providers
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module_function
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def synth
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api_key = ENV.fetch("SYNTH_API_KEY", Setting.synth_api_key)
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return nil unless api_key.present?
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Provider::Synth.new(api_key)
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end
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end
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```
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Because of this optionality, data providers must be configured at _runtime_ through [registry.rb](mdc:app/models/provider/registry.rb) utilizing [setting.rb](mdc:app/models/setting.rb) for runtime parameters like API keys:
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There are two types of 3rd party data in the Maybe app:
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@ -161,74 +147,35 @@ There are two types of 3rd party data in the Maybe app:
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Since the app is self hostable, users may prefer using different providers for generic data like exchange rates and security prices. When data is generic enough where we can easily swap out different providers, we call it a data "concept".
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Each "concept" _must_ have a `Provideable` concern that defines the methods that must be implemented along with the data shapes that are returned. For example, an "exchange rates concept" might look like this:
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Each "concept" has an interface defined in the `app/models/provider/concepts` directory.
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```
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app/models/
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exchange_rate.rb # <- ActiveRecord model and "concept"
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exchange_rate/
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provided.rb # <- Chooses the provider for this concept based on user settings / config
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provideable.rb # <- Defines interface for providing exchange rates
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provided.rb # <- Responsible for selecting the concept provider from the registry
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provider.rb # <- Base provider class
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provider/
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registry.rb <- Defines available providers by concept
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concepts/
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exchange_rate.rb <- defines the interface required for the exchange rate concept
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synth.rb # <- Concrete provider implementation
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```
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Where the `Provideable` and concrete provider implementations would be something like:
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```rb
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# Defines the interface an exchange rate provider must implement
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module ExchangeRate::Provideable
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extend ActiveSupport::Concern
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FetchRateData = Data.define(:rate)
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FetchRatesData = Data.define(:rates)
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def fetch_exchange_rate(from:, to:, date:)
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raise NotImplementedError, "Subclasses must implement #fetch_exchange_rate"
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end
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def fetch_exchange_rates(from:, to:, start_date:, end_date:)
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raise NotImplementedError, "Subclasses must implement #fetch_exchange_rates"
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end
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end
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```
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Any provider that is a valid exchange rate provider must implement this interface:
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```rb
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class ConcreteProvider < Provider
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include ExchangeRate::Provideable
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def fetch_exchange_rate(from:, to:, date:)
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provider_response do
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ExchangeRate::Provideable::FetchRateData.new(
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rate: ExchangeRate.new # build response
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)
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end
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end
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def fetch_exchange_rates(from:, to:, start_date:, end_date:)
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# Implementation
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end
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end
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```
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### One-off data
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For data that does not fit neatly into a "concept", a `Provideable` is not required and the concrete provider may implement ad-hoc methods called directly in code. For example, the [synth.rb](mdc:app/models/provider/synth.rb) provider has a `usage` method that is only applicable to this specific provider. This should be called directly without any abstractions:
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For data that does not fit neatly into a "concept", an interface is not required and the concrete provider may implement ad-hoc methods called directly in code. For example, the [synth.rb](mdc:app/models/provider/synth.rb) provider has a `usage` method that is only applicable to this specific provider. This should be called directly without any abstractions:
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```rb
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class SomeModel < Application
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def synth_usage
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Providers.synth.usage
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Provider::Registry.get_provider(:synth)&.usage
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end
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end
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```
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## "Provided" Concerns
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In general, domain models should not be calling [providers.rb](mdc:app/models/providers.rb) (`Providers.some_provider`) directly. When 3rd party data is required for a domain model, we use the `Provided` concern within that model's namespace. This concern is primarily responsible for:
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In general, domain models should not be calling [registry.rb](mdc:app/models/provider/registry.rb) directly. When 3rd party data is required for a domain model, we use the `Provided` concern within that model's namespace. This concern is primarily responsible for:
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- Choosing the provider to use for this "concept"
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- Providing convenience methods on the model for accessing data
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class_methods do
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def provider
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Providers.synth
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registry = Provider::Registry.for_concept(:exchange_rates)
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registry.get_provider(:synth)
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end
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def find_or_fetch_rate(from:, to:, date: Date.current, cache: true)
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## Concrete provider implementations
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Each 3rd party data provider should have a class under the `Provider::` namespace that inherits from `Provider` and returns `provider_response`, which will return a `Provider::ProviderResponse` object:
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Each 3rd party data provider should have a class under the `Provider::` namespace that inherits from `Provider` and returns `with_provider_response`, which will return a `Provider::ProviderResponse` object:
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```rb
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class ConcreteProvider < Provider
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def fetch_some_data
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provider_response do
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with_provider_response do
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ExampleData.new(
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example: "data"
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)
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end
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```
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The `provider_response` automatically catches provider errors, so concrete provider classes should raise when valid data is not possible:
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The `with_provider_response` automatically catches provider errors, so concrete provider classes should raise when valid data is not possible:
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```rb
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class ConcreteProvider < Provider
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def fetch_some_data
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provider_response do
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with_provider_response do
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data = nil
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# Raise an error if data cannot be returned
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