Commit Graph

2 Commits

Author SHA1 Message Date
Guillem Arias
77660d2ee4 feat(savings): add savings goals
Adds a standalone Savings goals feature: a piggy-bank style tracker that
lets a family set a target, link one or more Depository accounts as
funding sources, and log manual contributions over time. Supersedes #1569
(closed) — same intent, redesigned per reviewer + Discord feedback.

What this adds:

- New `/savings_goals` sidebar entry (piggy-bank icon) with index, show,
  state-filtered tabs (all/active/paused/completed/archived), and a
  2-step modal stepper for creation (Identity → Review).
- Multi-account funding via a `SavingsGoalAccount` join: a goal requires
  ≥1 linked Depository account (checking/savings/HSA/CD/money-market),
  and all linked accounts must share the goal's currency.
- Tracker balance model: goal balance = SUM(contributions.amount). No
  auto-flow from account balances. Contributions are pure logical
  records and don't move money between accounts.
- Manual contributions modal scoped to the goal's linked accounts.
  Initial contributions seeded at creation can't be deleted; manual
  ones can.
- AASM lifecycle: active / paused / completed / archived.
  Hard-delete only after archive.
- Status pills (On track / Behind / Reached / No date) derived from
  pace vs target_date.
- AI Assistant tool `create_savings_goal` lets the sidebar chat create
  a goal end-to-end from a natural-language prompt; soft errors carry
  the available-accounts list back to the LLM (mirrors the existing
  `import_bank_statement` pattern).
- Family-scoped throughout (`Current.family`-only access, account
  family-scoping enforced both in controllers and the AI tool).
- Demo data seed wires up 4 sample goals across the Depository accounts.

Intentionally out of scope (separate PRs / v1.1):

- Auto-fund from budget surplus + Sidekiq cron + budget-show card.
- Dashboard "Savings goals" widget.
- "Behind pace" projection chart on the detail page.
- `evaluate_savings_goal_feasibility` LLM tool (level-setting before
  create_savings_goal).
- Spend-less goals inside Budgets.
- Family-member-private goals (deferred investigation).
2026-05-11 11:20:37 +02:00
Juan José Mata
9e57954a99 Add Family vector search function call / support for document vault (#961)
* Add SearchFamilyImportedFiles assistant function with vector store support

Implement per-Family document search using OpenAI vector stores, allowing
the AI assistant to search through uploaded financial documents (tax returns,
statements, contracts, etc.). The architecture is modular with a provider-
agnostic VectorStoreConcept interface so other RAG backends can be added.

Key components:
- Assistant::Function::SearchFamilyImportedFiles - tool callable from any LLM
- Provider::VectorStoreConcept - abstract vector store interface
- Provider::Openai vector store methods (create, upload, search, delete)
- Family::VectorSearchable concern with document management
- FamilyDocument model for tracking uploaded files
- Migration adding vector_store_id to families and family_documents table

https://claude.ai/code/session_01TSkKc7a9Yu2ugm1RvSf4dh

* Extract VectorStore adapter layer for swappable backends

Replace the Provider::VectorStoreConcept mixin with a standalone adapter
architecture under VectorStore::. This cleanly separates vector store
concerns from the LLM provider and makes it trivial to swap backends.

Components:
- VectorStore::Base — abstract interface (create/delete/upload/remove/search)
- VectorStore::Openai — uses ruby-openai gem's native vector_stores.search
- VectorStore::Pgvector — skeleton for local pgvector + embedding model
- VectorStore::Qdrant — skeleton for Qdrant vector DB
- VectorStore::Registry — resolves adapter from VECTOR_STORE_PROVIDER env
- VectorStore::Response — success/failure wrapper (like Provider::Response)

Consumers updated to go through VectorStore.adapter:
- Family::VectorSearchable
- Assistant::Function::SearchFamilyImportedFiles
- FamilyDocument

Removed: Provider::VectorStoreConcept, vector store methods from Provider::Openai

https://claude.ai/code/session_01TSkKc7a9Yu2ugm1RvSf4dh

* Add Vector Store configuration docs to ai.md

Documents how to configure the document search feature, covering all
three supported backends (OpenAI, pgvector, Qdrant), environment
variables, Docker Compose examples, supported file types, and privacy
considerations.

https://claude.ai/code/session_01TSkKc7a9Yu2ugm1RvSf4dh

* No need to specify `imported` in code

* Missed a couple more places

* Tiny reordering for the human OCD

* Update app/models/assistant/function/search_family_files.rb

Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
Signed-off-by: Juan José Mata <jjmata@jjmata.com>

* PR comments

* More PR comments

---------

Signed-off-by: Juan José Mata <jjmata@jjmata.com>
Co-authored-by: Claude <noreply@anthropic.com>
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
2026-02-11 15:22:56 +01:00