AI TARIC & INTRASTAT Classifier

• confidence Float
  args: 'Confidence %'
• message Text
• product_id Many2one → product.template
  string='Product' args: 'product.template'
• status Selection
  args: [('success', 'Success'), ('pending', 'Pending Review'), ('error', 'Error')]
• taric_code Char
  args: 'Suggested Code'
• wizard_id Many2one → batch.classify.wizard
  ondelete='cascade' required=True args: 'batch.classify.wizard'

No public methods.

• auto_apply_high_confidence Boolean
  default=False help='Automatically apply suggestions with >90% confidence' args: 'Auto-apply High Confidence'
• category_id Many2one → product.category
  help='Process only products in this category' string='Category Filter' args: 'product.category'
• filter_unclassified Boolean
  default=True help='Process only products without TARIC codes' args: 'Only Unclassified'
• product_ids Many2many → product.template
  string='Products' args: 'product.template'
• progress Float
  readonly=True args: 'Progress %'
• result_ids One2many → batch.classify.result
  readonly=True string='Results' args: 'batch.classify.result', 'wizard_id'
• status Text
  readonly=True

• action_classify_batch(self)
  Run batch classification
• default_get(self, fields_list)
  @api.model
  Load selected products from context

• ai_classification_confidence Float
  readonly=True related='taric_code_id.confidence_score' args: 'AI Confidence'
• classification_history_ids One2many → taric.classification.history
  string='Classification History' args: 'taric.classification.history', 'product_id'
• classification_method Selection
  help='How was the current TARIC code assigned' readonly=True args: [('manual', 'Manual'), ('ai', 'AI Suggested'), ('expert', 'Expert Verified'), ('api', 'API Verified')]
• classification_verified Boolean
  readonly=True related='taric_code_id.verified' args: 'Classification Verified'
• taric_code_id Many2one → taric.code
  help='10-digit TARIC code for customs' string='TARIC Code (template)' args: 'taric.code'

• action_classify_with_ai(self)
  Open wizard to classify product using AI
• action_verify_taric_code(self)
  Verify the current TARIC code online
• action_view_classification_history(self)
  View classification history for this product
• write(self, vals)
  Log classification history when TARIC code changes

• anthropic_api_key Char
  config_parameter='taric_ai.anthropic_api_key' help='API key for Claude AI service from Anthropic' string='Anthropic API Key'
• auto_apply_high_confidence Boolean
  config_parameter='taric_ai.auto_apply_high_confidence' default=False help='Automatically apply AI suggestions with confidence > 95%' string='Auto-apply High Confidence'
• auto_classify_enabled Boolean
  config_parameter='taric_ai.auto_classify_enabled' default=False help='Automatically suggest TARIC codes when creating new products' string='Enable Auto-Classification'
• min_confidence_threshold Float
  config_parameter='taric_ai.min_confidence_threshold' default=80.0 help='Minimum confidence score to show AI suggestions' string='Minimum Confidence Threshold %'

No public methods.

• ai_model Char
  args: 'AI Model'
• classification_method Selection
  index=True required=True args: [('manual', 'Manual'), ('ai', 'AI Suggested'), ('expert', 'Expert Verified')]
• confidence_score Float
  digits=(3, 2) args: 'Confidence %'
• create_date Datetime
  index=True readonly=True args: 'Date'
• product_id Many2one → product.template
  index=True ondelete='cascade' required=True args: 'product.template'
• reasoning Text
• taric_code_id Many2one → taric.code
  index=True required=True args: 'taric.code'
• user_id Many2one → res.users
  default=<expr> index=True args: 'res.users'

No public methods.

• code Char
  required=True
• confidence Float
  digits=(5, 2) args: 'Confidence %'
• description_bg Text
  args: 'Описание (BG)'
• description_en Text
  args: 'Description (EN)'
• reasoning Text
  args: 'AI Reasoning'
• sequence Integer
  default=10
• supplementary_unit Char
  args: 'Unit'
• wizard_id Many2one → taric.classify.wizard
  ondelete='cascade' required=True args: 'taric.classify.wizard'

No public methods.

• custom_code Char
  help='Enter code manually if not in suggestions' args: 'Custom TARIC Code'
• notes Char
  args: 'Classification Notes'
• product_id Many2one → product.template
  required=True string='Product' args: 'product.template'
• selected_suggestion_id Many2one → taric.classify.suggestion
  string='Selected Code' args: 'taric.classify.suggestion'
• suggestion_ids One2many → taric.classify.suggestion
  string='AI Suggestions' args: 'taric.classify.suggestion', 'wizard_id'

• action_apply_classification(self)
  Apply selected classification to product
• default_get(self, fields_list)
  @api.model
  Load AI suggestions from context

• active Boolean
  default=True
• classification_history_ids One2many → taric.classification.history
  string='History' args: 'taric.classification.history', 'taric_code_id'
• code Char
  help='8-10 digit HS or TARIC code' index=True required=True args: 'HS/TARIC Code'
• confidence_score Float
  digits=(3, 2) help='AI confidence level (0-100)' args: 'AI Confidence'
• description Text
  translate=True
• duty_rate Float
  digits=(5, 2) args: 'Duty Rate %'
• product_ids One2many → product.template
  string='Products' args: 'product.template', 'taric_code_id'
• valid_from Date
• valid_to Date
• verified Boolean
  help='Verified by customs expert'
• verified_by_id Many2one → res.users
  string='Verified By' args: 'res.users'
• verified_date Date
  args: 'Verification Date'

• action_verify_code(self)
  Verify code and mark as verified
• action_view_products(self)
  View products using this TARIC code
• search_by_ai(self, product_description, product_category=None)
  @api.model
  Use Claude AI to suggest HS codes based on product description Args: product_description: Product name and description product_category: Optional product category Returns: List of suggested HS codes with confidence scores