MattssonandClaude Opus 4.7
1af977950b
* Refactor bookkeeping error handling and introduce new error classes - Introduced new error classes for better error categorization: - JournalEntryNotBalancedError - FiscalPeriodNotFoundError - EntryDateOutsideFiscalPeriodError - JournalEntryNotFoundError - CannotReverseNonPostedError - CannotCorrectNonPostedError - EntryAlreadyReversedError - CurrencyRevaluationAlreadyExistsError - InvalidMappingResultError - BookkeepingDatabaseError - Updated existing functions in engine.ts and transaction-entries.ts to throw specific errors instead of generic ones. - Enhanced error response handling in get-error-message.ts to provide localized messages for new error types. - Added unit tests for new error classes and error handling functions to ensure correctness and coverage. * feat(ai): implement AI proposal application and persistence - Add apply.ts to handle the application of AI proposals, including match and booking steps. - Introduce persist.ts for inserting and managing AI requests and proposals, ensuring unique constraints. - Create re-validate.ts for validating proposals before acceptance, checking for stale conditions. - Define database migrations for ai_requests and ai_proposals tables, including constraints and indexes. - Enhance journal_entries with AI provenance tracking, linking entries to AI proposals. - Update categorization_templates to distinguish AI-corrected templates. - Add company settings for toggling AI flow and managing backfill processes. - Extend processing_history to include AI-related events for better tracking. * feat: add uncategorized transactions API and UI for transaction selection - Implemented a new API endpoint for fetching uncategorized transactions with pagination and filtering options. - Created ChangeTransactionDialog component for selecting alternative transactions based on AI proposals. - Developed ReceiptDetailDialog to display detailed information about receipts, including upload functionality. - Added TransactionDetailDialog for viewing transaction details with links to the transaction list. - Introduced receipt quality assessment logic to evaluate extracted receipt data. - Implemented feature flagging for the AI bookkeeping agent to control availability in different environments. * feat: add manual receipt extraction dialog and integrate AWS Textract for expense analysis - Added ManualExtractDialog component for user input when AI fails to extract receipt data. - Implemented ReceiptsList component to manage and display uploaded receipts, including upload and rescan functionalities. - Introduced Textract integration for analyzing expenses, extracting fields like total, vendor, and date. - Updated package.json to include @aws-sdk/client-textract dependency. * fix(ai): handle livsmedel VAT transition (12% → 6%) in booking prompt and re-validate guard Add date-aware guidance to BOOKING_SYSTEM_PROMPT for the temporary livsmedel VAT cut (Prop. 2025/26:55, 2026-04-01 to 2027-12-31), with restaurang/servering carve-out at 12%. Add a re-validate safety net that rejects clearly-stale rate labels for grocery-chain merchants relative to the entry date. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
24 lines
1.1 KiB
JSON
24 lines
1.1 KiB
JSON
{
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"id": "ai-agent",
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"sector": "general",
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"exportName": "aiAgentExtension",
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"entryPoint": "@/extensions/general/ai-agent",
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"requiredEnvVars": [
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"AWS_ACCESS_KEY_ID",
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"AWS_SECRET_ACCESS_KEY",
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"AWS_REGION"
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],
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"optionalEnvVars": ["BEDROCK_MODEL_ID", "BEDROCK_MAX_TOKENS"],
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"npmDependencies": ["@aws-sdk/client-bedrock-runtime"],
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"definition": {
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"name": "AI-agent (beta)",
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"category": "operations",
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"icon": "Sparkles",
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"dataPattern": "core",
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"hasOwnData": false,
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"readsCoreTables": ["invoice_inbox_items", "transactions", "ai_proposals", "ai_requests", "processing_history"],
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"description": "Autonom bokföring — AI föreslår match + bokföring, du godkänner.",
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"longDescription": "När ett kvitto kommer in föreslår AI-agenten först vilken banktransaktion som matchar, sedan hur det ska bokföras. Du granskar och godkänner varje steg — inget bokförs automatiskt. Om AI:n inte kan producera ett förslag (oläslig bild, ingen matchande transaktion, osäker moms) frågar den dig specifikt vad som behövs."
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}
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}
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