125f48377a
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
22 lines
720 B
Python
22 lines
720 B
Python
from odoo import http
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from odoo.http import request
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class FusionOcrController(http.Controller):
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@http.route('/fusion/ocr/request_for_invoice', type='jsonrpc', auth='user')
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def request_for_invoice(self, move_id):
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move = request.env['account.move'].browse(int(move_id))
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move.check_access('write')
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try:
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move.action_request_ocr()
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return {
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'status': 'ok',
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'state': move.ocr_state,
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'backend': move.ocr_backend,
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'confidence': move.ocr_confidence,
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'extracted': move.ocr_extracted_data,
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}
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except Exception as e:
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return {'status': 'error', 'message': str(e)}
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