- Added views for webshop admin interface using FastAPI and Jinja2 templates.
- Created initial SQL migration for webshop configurations, products, orders, and order items.
- Defined module metadata in module.json for webshop.
- Implemented HTML template for the webshop index page.
- Documented frontend requirements and API contracts in WEBSHOP_FRONTEND_PROMPT.md.
- Introduced scripts for generating conversation summaries and testing Whisper capabilities.
- Added `transcription_service.py` to handle audio transcription via Whisper API.
- Integrated logging for transcription processes and error handling.
- Supported audio format checks based on configuration settings.
docs: Create Ordre System Implementation Plan
- Drafted comprehensive implementation plan for e-conomic order integration.
- Outlined business requirements, database changes, backend and frontend implementation details.
- Included testing plan and deployment steps for the new order system.
feat: Add AI prompts and regex action capabilities
- Created `ai_prompts` table for storing custom AI prompts.
- Added regex extraction and linking action to email workflow actions.
feat: Introduce conversations module for transcribed audio
- Created `conversations` table to store transcribed conversations with relevant metadata.
- Added indexing for customer, ticket, and user linkage.
- Implemented full-text search capabilities for Danish language.
fix: Add category column to conversations for classification
- Added `category` column to `conversations` table for better conversation classification.
- Added new columns to supplier_invoice_lines for contra_account, line_purpose, resale_customer_id, resale_order_number, is_invoiced_to_customer, and invoiced_date.
- Created indexes for faster filtering by purpose and resale status.
- Introduced economic_accounts table to cache e-conomic chart of accounts with relevant fields and indexes.
- Added comments for documentation on new columns and tables.
- Included success message for migration completion.
- Added PostgreSQL client installation to Dockerfile for database interactions.
- Updated BackupScheduler to manage both backup jobs and email fetching jobs.
- Implemented email fetching job with logging and error handling.
- Enhanced the frontend to display scheduled jobs, including email fetch status.
- Introduced email upload functionality with drag-and-drop support and progress tracking.
- Added import_method tracking to email_messages for better source identification.
- Updated email parsing logic for .eml and .msg files, including attachment handling.
- Removed obsolete email scheduler service as functionality is integrated into BackupScheduler.
- Updated requirements for extract-msg to the latest version.
- Created migration script to add import_method column to email_messages table.
docs: Create vTiger & Simply-CRM integration setup guide with credential requirements
feat: Implement ticket system enhancements including relations, calendar events, templates, and AI suggestions
refactor: Update ticket system migration to include audit logging and enhanced email metadata
- Added Email Workflow System with automated actions based on email classification.
- Created database schema with tables for workflows, executions, and actions.
- Developed API endpoints for CRUD operations on workflows and execution history.
- Included pre-configured workflows for invoice processing, time confirmation, and bankruptcy alerts.
- Introduced user guide and workflow system improvements for better usability.
- Implemented backup system for automated backup jobs and notifications.
- Established email activity log to track all actions and events related to emails.
- Added FastAPI router for serving email management UI at /emails
- Created Jinja2 template for the email frontend
- Developed SimpleEmailClassifier for keyword-based email classification
- Documented email UI implementation details, features, and API integration in EMAIL_UI_IMPLEMENTATION.md
- Added EmailProcessorService to orchestrate email workflow: fetching, saving, classifying, and matching rules.
- Introduced EmailScheduler for background processing of emails every 5 minutes.
- Developed EmailService to handle email fetching from IMAP and Microsoft Graph API.
- Created database migration for email system, including tables for email messages, rules, attachments, and analysis.
- Implemented AI classification and extraction for invoices and time confirmations.
- Added logging for better traceability and error handling throughout the email processing pipeline.
