2025-12-05 14:42:18 +01:00
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fastapi==0.115.0
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uvicorn[standard]==0.32.1
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psycopg2-binary==2.9.10
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pydantic==2.10.3
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pydantic-settings==2.6.1
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python-dotenv==1.0.1
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python-multipart==0.0.17
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2025-12-06 02:22:01 +01:00
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jinja2==3.1.4
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pyjwt==2.9.0
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aiohttp==3.10.10
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2025-12-07 03:29:54 +01:00
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feat: Implement email processing system with scheduler, fetching, classification, and rule matching
- 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.
2025-12-11 02:31:29 +01:00
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# Email & Scheduling
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APScheduler==3.10.4
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msal==1.31.1
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2025-12-15 12:28:12 +01:00
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# Backup & SSH
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paramiko==3.4.0
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2025-12-07 03:29:54 +01:00
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# AI & Document Processing
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httpx==0.27.2
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PyPDF2==3.0.1
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2025-12-08 09:15:52 +01:00
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pdfplumber==0.11.4
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2025-12-07 03:29:54 +01:00
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pytesseract==0.3.13
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Pillow==11.0.0
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feat: Implement quick analysis on PDF upload for CVR, document type, and number extraction
- Added `check_invoice_number_exists` method in `EconomicService` to verify invoice numbers in e-conomic journals.
- Introduced `quick_analysis_on_upload` method in `OllamaService` for extracting critical fields from uploaded PDFs, including CVR, document type, and document number.
- Created migration script to add new fields for storing detected CVR, vendor ID, document type, and document number in the `incoming_files` table.
- Developed comprehensive tests for the quick analysis functionality, validating CVR detection, document type identification, and invoice number extraction.
2025-12-09 14:54:33 +01:00
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invoice2data==0.4.4
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pyyaml==6.0.2
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