* 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>
* feat: Add PDF import with AI-powered document analysis
This enhances the import functionality to support PDF files with AI-powered
document analysis. When a PDF is uploaded, it is processed by AI to:
- Identify the document type (bank statement, credit card statement, etc.)
- Generate a summary of the document contents
- Extract key metadata (institution, dates, balances, transaction count)
After processing, an email is sent to the user asking for next steps.
Key changes:
- Add PdfImport model for handling PDF document imports
- Add Provider::Openai::PdfProcessor for AI document analysis
- Add ProcessPdfJob for async PDF processing
- Add PdfImportMailer for user notification emails
- Update imports controller to detect and handle PDF uploads
- Add PDF import option to the new import page
- Add i18n translations for all new strings
- Add comprehensive tests for the new functionality
* Add bank statement import with AI extraction
- Create ImportBankStatement assistant function for MCP
- Add BankStatementExtractor with chunked processing for small context windows
- Register function in assistant configurable
- Make PdfImport#pdf_file_content public for extractor access
- Increase OpenAI request timeout to 600s for slow local models
- Increase DB connection pool to 20 for concurrent operations
Tested with M-Pesa bank statement via remote Ollama (qwen3:8b):
- Successfully extracted 18 transactions
- Generated CSV and created TransactionImport
- Works with 3000 char chunks for small context windows
* Add pdf-reader gem dependency
The BankStatementExtractor uses PDF::Reader to parse bank statement
PDFs, but the gem was not properly declared in the Gemfile. This would
cause NameError in production when processing bank statements.
Added pdf-reader ~> 2.12 to Gemfile dependencies.
* Fix transaction deduplication to preserve legitimate duplicates
The previous deduplication logic removed ALL duplicate transactions based
on [date, amount, name], which would drop legitimate same-day duplicates
like multiple ATM withdrawals or card authorizations.
Changed to only deduplicate transactions that appear in consecutive chunks
(chunking artifacts) while preserving all legitimate duplicates within the
same chunk or non-adjacent chunks.
* Refactor bank statement extraction to use public provider method
Address code review feedback:
- Add public extract_bank_statement method to Provider::Openai
- Remove direct access to private client via send(:client)
- Update ImportBankStatement to use new public method
- Add require 'set' to BankStatementExtractor
- Remove PII-sensitive content from error logs
- Add defensive check for nil response.error
- Handle oversized PDF pages in chunking logic
- Remove unused process_native and process_generic methods
- Update email copy to reflect feature availability
- Add guard for nil document_type in email template
- Document pdf-reader gem rationale in Gemfile
Tested with both OpenAI (gpt-4o) and Ollama (qwen3:8b):
- OpenAI: 49 transactions extracted in 30s
- Ollama: 40 transactions extracted in 368s
- All encapsulation and error handling working correctly
* Update schema.rb with ai_summary and document_type columns
* Address PR #808 review comments
- Rename :csv_file to :import_file across controllers/views/tests
- Add PDF test fixture (sample_bank_statement.pdf)
- Add supports_pdf_processing? method for graceful degradation
- Revert unrelated database.yml pool change (600->3)
- Remove month_start_day schema bleed from other PR
- Fix PdfProcessor: use .strip instead of .strip_heredoc
- Add server-side PDF magic byte validation
- Conditionally show PDF import option when AI provider available
- Fix ProcessPdfJob: sanitize errors, handle update failure
- Move pdf_file attachment from Import to PdfImport
- Document deduplication logic limitations
- Fix ImportBankStatement: catch specific exceptions only
- Remove unnecessary require 'set'
- Remove dead json_schema method from PdfProcessor
- Reduce default OpenAI timeout from 600s to 60s
- Fix nil guard in text mailer template
- Add require 'csv' to ImportBankStatement
- Remove Gemfile pdf-reader comment
* Fix RuboCop indentation in ProcessPdfJob
* Refactor PDF import check to use model predicate method
Replace is_a?(PdfImport) type check with requires_csv_workflow? predicate
that leverages STI inheritance for cleaner controller logic.
* Fix missing 'unknown' locale key and schema version mismatch
- Add 'unknown: Unknown Document' to document_types locale
- Fix schema version to match latest migration (2026_01_24_180211)
* Document OPENAI_REQUEST_TIMEOUT env variable
Added to .env.local.example and docs/hosting/ai.md
* Rename ALLOWED_MIME_TYPES to ALLOWED_CSV_MIME_TYPES for clarity
* Add comment explaining requires_csv_workflow? predicate
* Remove redundant required_column_keys from PdfImport
Base class already returns [] by default
* Add ENV toggle to disable PDF processing for non-vision endpoints
OPENAI_SUPPORTS_PDF_PROCESSING=false can be used for OpenAI-compatible
endpoints (e.g., Ollama) that don't support vision/PDF processing.
* Wire up transaction extraction for PDF bank statements
- Add extracted_data JSONB column to imports
- Add extract_transactions method to PdfImport
- Call extraction in ProcessPdfJob for bank statements
- Store transactions in extracted_data for later review
* Fix ProcessPdfJob retry logic, sanitize and localize errors
- Allow retries after partial success (classification ok, extraction failed)
- Log sanitized error message instead of raw message to avoid data leakage
- Use i18n for user-facing error messages
* Add vision-capable model validation for PDF processing
* Fix drag-and-drop test to use correct field name csv_file
* Schema bleedover from another branch
* Fix drag-drop import form field name to match controller
* Add vision capability guard to process_pdf method
---------
Co-authored-by: Claude <noreply@anthropic.com>
Co-authored-by: mkdev11 <jaysmth689+github@users.noreply.github.com>
Co-authored-by: Juan José Mata <jjmata@jjmata.com>
* Add comprehensive AI/LLM configuration documentation
* Fix Chat.start! to use default model when model is nil or empty
* Ensure all controllers use Chat.default_model for consistency
* Move AI doc inside `hosting/`
* Probably too much error handling
---------
Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: jjmata <187772+jjmata@users.noreply.github.com>
Co-authored-by: Juan José Mata <juanjo.mata@gmail.com>
