Replaces Enterprise's account_invoice_extract with a Fusion-native pipeline: Stage 1 (text extraction): Tesseract OCRs the bill attachment via pytesseract + pdf2image. Pluggable OCRProvider adapter pattern allows future Mindee / Google Document AI / Ollama-vision backends. Stage 2 (field parsing): The fusion_accounting_ai LLMProvider reads the raw OCR text and returns structured invoice fields (vendor, invoice number, dates, amounts, line items) as JSON. Draft invoice fields are auto-populated for empty-only fields (never overwriting user-entered data). Vendor matching by name against res.partner with supplier_rank > 0. Adds: - account.move.ocr_state (selection: not_requested/pending/processing/ done/failed/manual) - account.move.ocr_raw_text, ocr_extracted_data (Json), ocr_backend, ocr_confidence - fusion.ocr.log (audit trail per OCR run) - res.company.fusion_ocr_enabled / fusion_ocr_default_backend / auto_run - /fusion/ocr/request_for_invoice JSON-RPC endpoint Backend availability detected at runtime via OCRProvider.is_available() classmethods. Tesseract 5.3.4 + pytesseract 0.3.13 + pdf2image 1.17.0 are installed in the container. Tests: 13 (TesseractAdapter availability + image OCR; flow tests for draft autofill, no-attachment guard, customer-invoice guard, ref-not- overwritten; field parser empty/clean-json/markdown-fence/bad-JSON/ provider-exception). All pass on westin-v19 OrbStack VM. Made-with: Cursor
40 lines
1.3 KiB
Python
40 lines
1.3 KiB
Python
{
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'name': 'Fusion Accounting — Invoice OCR',
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'version': '19.0.1.0.0',
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'category': 'Accounting/Accounting',
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'summary': 'OCR for vendor bills via tesseract + LLM-driven field extraction.',
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'description': """
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Fusion Accounting — Invoice OCR
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================================
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Replaces Enterprise's account_invoice_extract with a Fusion-native pipeline:
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1. Tesseract OCRs the bill attachment (PDF or image) into raw text
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2. The fusion_accounting_ai LLMProvider parses the raw text into structured
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fields (vendor, invoice number, dates, amounts, line items)
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3. Draft invoice fields are populated for the AP user to confirm
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Pluggable backend architecture: future Mindee, Google Document AI, or
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Ollama-vision adapters can be dropped in alongside the default tesseract
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adapter.
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""",
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'icon': '/fusion_accounting_ocr/static/description/icon.png',
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'author': 'Westin / Fusion Suite',
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'depends': [
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'fusion_accounting_core',
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'fusion_accounting_ai',
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'account',
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],
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'external_dependencies': {
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'python': ['pytesseract', 'pdf2image', 'PIL'],
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},
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'data': [
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'security/ir.model.access.csv',
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'views/account_move_views.xml',
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'views/res_config_settings_views.xml',
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],
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'auto_install': False,
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'installable': True,
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'application': False,
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'license': 'LGPL-3',
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}
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