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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>
This commit is contained in:
Zach Gollwitzer 2025-03-28 13:08:22 -04:00 committed by GitHub
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class Assistant::Function::GetAccounts < Assistant::Function
class << self
def name
"get_accounts"
end
def description
"Use this to see what accounts the user has along with their current and historical balances"
end
end
def call(params = {})
{
as_of_date: Date.current,
accounts: family.accounts.includes(:balances).map do |account|
{
name: account.name,
balance: account.balance,
currency: account.currency,
balance_formatted: account.balance_money.format,
classification: account.classification,
type: account.accountable_type,
start_date: account.start_date,
is_plaid_linked: account.plaid_account_id.present?,
is_active: account.is_active,
historical_balances: historical_balances(account)
}
end
}
end
private
def historical_balances(account)
start_date = [ account.start_date, 5.years.ago.to_date ].max
period = Period.custom(start_date: start_date, end_date: Date.current)
balance_series = account.balance_series(period: period, interval: "1 month")
to_ai_time_series(balance_series)
end
end

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class Assistant::Function::GetBalanceSheet < Assistant::Function
include ActiveSupport::NumberHelper
class << self
def name
"get_balance_sheet"
end
def description
<<~INSTRUCTIONS
Use this to get the user's balance sheet with varying amounts of historical data.
This is great for answering questions like:
- What is the user's net worth? What is it composed of?
- How has the user's wealth changed over time?
INSTRUCTIONS
end
end
def call(params = {})
observation_start_date = [ 5.years.ago.to_date, family.oldest_entry_date ].max
period = Period.custom(start_date: observation_start_date, end_date: Date.current)
{
as_of_date: Date.current,
oldest_account_start_date: family.oldest_entry_date,
currency: family.currency,
net_worth: {
current: family.balance_sheet.net_worth_money.format,
monthly_history: historical_data(period)
},
assets: {
current: family.balance_sheet.total_assets_money.format,
monthly_history: historical_data(period, classification: "asset")
},
liabilities: {
current: family.balance_sheet.total_liabilities_money.format,
monthly_history: historical_data(period, classification: "liability")
},
insights: insights_data
}
end
private
def historical_data(period, classification: nil)
scope = family.accounts.active
scope = scope.where(classification: classification) if classification.present?
if period.start_date == Date.current
[]
else
balance_series = scope.balance_series(
currency: family.currency,
period: period,
interval: "1 month",
favorable_direction: "up",
)
to_ai_time_series(balance_series)
end
end
def insights_data
assets = family.balance_sheet.total_assets
liabilities = family.balance_sheet.total_liabilities
ratio = liabilities.zero? ? 0 : (liabilities / assets.to_f)
{
debt_to_asset_ratio: number_to_percentage(ratio * 100, precision: 0)
}
end
end

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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

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class Assistant::Function::GetTransactions < Assistant::Function
include Pagy::Backend
class << self
def default_page_size
50
end
def name
"get_transactions"
end
def description
<<~INSTRUCTIONS
Use this to search user's transactions by using various optional filters.
This function is great for things like:
- Finding specific transactions
- Getting basic stats about a small group of transactions
This function is not great for:
- Large time periods (use the get_income_statement function for this)
Note on pagination:
This function can be paginated. You can expect the following properties in the response:
- `total_pages`: The total number of pages of results
- `page`: The current page of results
- `page_size`: The number of results per page (this will always be #{default_page_size})
- `total_results`: The total number of results for the given filters
- `total_income`: The total income for the given filters
- `total_expenses`: The total expenses for the given filters
Simple example (transactions from the last 30 days):
```
get_transactions({
page: 1,
start_date: "#{30.days.ago.to_date}",
end_date: "#{Date.current}"
})
```
More complex example (various filters):
```
get_transactions({
page: 1,
search: "mcdonalds",
accounts: ["Checking", "Savings"],
start_date: "#{30.days.ago.to_date}",
end_date: "#{Date.current}",
categories: ["Restaurants"],
merchants: ["McDonald's"],
tags: ["Food"],
amount: "100",
amount_operator: "less"
})
```
INSTRUCTIONS
end
end
def strict_mode?
false
end
def params_schema
build_schema(
required: [ "order", "page", "page_size" ],
properties: {
page: {
type: "integer",
description: "Page number"
},
order: {
enum: [ "asc", "desc" ],
description: "Order of the transactions by date"
},
search: {
type: "string",
description: "Search for transactions by name"
},
amount: {
type: "string",
description: "Amount for transactions (must be used with amount_operator)"
},
amount_operator: {
type: "string",
description: "Operator for amount (must be used with amount)",
enum: [ "equal", "less", "greater" ]
},
start_date: {
type: "string",
description: "Start date for transactions in YYYY-MM-DD format"
},
end_date: {
type: "string",
description: "End date for transactions in YYYY-MM-DD format"
},
accounts: {
type: "array",
description: "Filter transactions by account name",
items: { enum: family_account_names },
minItems: 1,
uniqueItems: true
},
categories: {
type: "array",
description: "Filter transactions by category name",
items: { enum: family_category_names },
minItems: 1,
uniqueItems: true
},
merchants: {
type: "array",
description: "Filter transactions by merchant name",
items: { enum: family_merchant_names },
minItems: 1,
uniqueItems: true
},
tags: {
type: "array",
description: "Filter transactions by tag name",
items: { enum: family_tag_names },
minItems: 1,
uniqueItems: true
}
}
)
end
def call(params = {})
search_params = params.except("order", "page")
transactions_query = family.transactions.active.search(search_params)
pagy_query = params["order"] == "asc" ? transactions_query.chronological : transactions_query.reverse_chronological
# By default, we give a small page size to force the AI to use filters effectively and save on tokens
pagy, paginated_transactions = pagy(
pagy_query.includes(
{ entry: :account },
:category, :merchant, :tags,
transfer_as_outflow: { inflow_transaction: { entry: :account } },
transfer_as_inflow: { outflow_transaction: { entry: :account } }
),
page: params["page"] || 1,
limit: default_page_size
)
totals = family.income_statement.totals(transactions_scope: transactions_query)
normalized_transactions = paginated_transactions.map do |txn|
entry = txn.entry
{
date: entry.date,
amount: entry.amount.abs,
currency: entry.currency,
formatted_amount: entry.amount_money.abs.format,
classification: entry.amount < 0 ? "income" : "expense",
account: entry.account.name,
category: txn.category&.name,
merchant: txn.merchant&.name,
tags: txn.tags.map(&:name),
is_transfer: txn.transfer.present?
}
end
{
transactions: normalized_transactions,
total_results: pagy.count,
page: pagy.page,
page_size: default_page_size,
total_pages: pagy.pages,
total_income: totals.income_money.format,
total_expenses: totals.expense_money.format
}
end
private
def default_page_size
self.class.default_page_size
end
end