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Commits
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7685650e63 |
feat(assistant): add get_budget function for budget tracking (#1966)
* feat(assistant): add get_budget function for budget tracking Exposes the existing Budget / BudgetCategory pacing data to the AI assistant as a `get_budget` function. Supports a target month and an optional `prior_months` window for trend comparison, with the response shape matching the budget UI (totals, income, per-category status, suggested daily spend on the current month). Honors custom month_start_day by matching `Budget.param_to_date` semantics for explicit slug input, so `month` round-trips with the response's `month` field. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * test(assistant): use fixture reference for Food & Drink lookup Replace fragile string match on `bc.category.name == "Food & Drink"` with the `categories(:food_and_drink)` fixture so the test setup isn't sensitive to category-name translations. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * fix(assistant): enforce strict month format in get_budget `Date.strptime` is lenient about trailing characters, so inputs like `"2026-05-01"` or `"may-2026foo"` were parsing successfully and being silently truncated to May 2026. Pre-validate the raw string with anchored regex patterns for the documented YYYY-MM and MMM-YYYY shapes so malformed tool arguments raise Assistant::Error instead. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * fix(budgets): suggested_daily_spending handles custom-month periods The helper compared `budget.start_date.month/year` against `Date.current.month/year` and returned nil whenever the current period straddled two calendar months — common for families with `month_start_day != 1` (e.g., May 15–Jun 14 viewed on Jun 1). Replace the calendar-month check with `budget.current?` and compute remaining days from `budget.end_date` so the helper works for both standard and custom periods. This also restores the daily pacing row in the budget UI for custom-month families. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * fix(assistant): make get_budget read-only for prior months `prior_months: N` was calling `Budget.find_or_bootstrap` for every month, which created empty `Budget` rows (and synced `BudgetCategory` children) as a side effect of an AI query. Only the explicit target month now bootstraps; prior months use `Budget.find_by` and are dropped from the response if they don't exist. The response now includes `months_unavailable: N` so the LLM can phrase a sensible answer when fewer months come back than requested. Extract `Budget.period_for(date, family:)` to share the date-bracket math between `find_or_bootstrap`, `budget_date_valid?`, and the new read-only path in `get_budget`. Adds two tests covering the no-bootstrap behavior for prior months and the `prior_months` clamp at `MAX_PRIOR_MONTHS`. Updates the existing N+1 sorted-months test to seed prior budgets explicitly. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> --------- Co-authored-by: wolstad <wesleyolstad@protonmail.com> Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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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> |