create v2 import with different approach
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import_fixed_assets_v2.py
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264
import_fixed_assets_v2.py
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import sys
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import os
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import argparse
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import openpyxl
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from datetime import datetime, date
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from dateutil.relativedelta import relativedelta
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# Constants
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CUTOFF_DATE = date(2025, 10, 31)
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def main():
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parser = argparse.ArgumentParser(description="Import Fixed Assets to Odoo")
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parser.add_argument("odoo_bin_path", help="Path to odoo-bin executable")
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parser.add_argument("conf_path", help="Path to odoo.conf")
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parser.add_argument("excel_path", help="Path to the Excel file")
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parser.add_argument("db_name", help="Database name")
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args = parser.parse_args()
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odoo_bin_path = os.path.abspath(args.odoo_bin_path)
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conf_path = os.path.abspath(args.conf_path)
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excel_path = os.path.abspath(args.excel_path)
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db_name = args.db_name
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# Add Odoo to sys.path
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odoo_root = os.path.dirname(odoo_bin_path)
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if odoo_root not in sys.path:
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sys.path.append(odoo_root)
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# Change CWD to config directory to handle relative paths in config (like addons_path)
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os.chdir(os.path.dirname(conf_path))
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try:
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import odoo
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from odoo import api, SUPERUSER_ID
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except ImportError:
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print(f"Error: Could not import 'odoo' module from {odoo_root}. Make sure odoo-bin path is correct.")
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sys.exit(1)
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print(f"Initializing Odoo Environment for database: {db_name}...")
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try:
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odoo.tools.config.parse_config(['-c', conf_path])
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registry = odoo.registry(db_name)
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except Exception as e:
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print(f"Error initializing Odoo: {e}")
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return
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with registry.cursor() as cr:
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env = api.Environment(cr, SUPERUSER_ID, {})
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print("Connected to Odoo.")
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try:
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ensure_models(env)
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process_import(env, excel_path)
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cr.commit()
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print("Changes committed to database.")
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except Exception as e:
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cr.rollback()
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print(f"An error occurred during import. Transaction rolled back.\nError: {e}")
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import traceback
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traceback.print_exc()
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def ensure_models(env):
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missing_models = {
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'PERALATAN DAPUR': {
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'fallback': 'Peralatan Dapur',
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'name': 'Peralatan Dapur',
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'method_number': 60,
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'method_period': '1'
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},
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'PATENT & MERK': {
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'fallback': 'Asset Tidak Berwujud',
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'name': 'Asset Tidak Berwujud',
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'method_number': 60,
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'method_period': '1'
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}
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}
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for key, config in missing_models.items():
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exists = env['account.asset'].search([('state', '=', 'model'), ('name', '=ilike', config['name'])], limit=1)
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if exists:
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continue
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print(f"Creating missing model '{config['name']}'...")
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fallback = env['account.asset'].search([('state', '=', 'model'), ('name', '=ilike', config['fallback'])], limit=1)
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vals = {
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'name': config['name'],
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'state': 'model',
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'active': True,
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}
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if fallback:
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vals.update({
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'method': fallback.method,
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'method_number': fallback.method_number,
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'method_period': fallback.method_period,
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'prorata_computation_type': fallback.prorata_computation_type,
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'method_progress_factor': fallback.method_progress_factor,
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'account_asset_id': fallback.account_asset_id.id,
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'account_depreciation_id': fallback.account_depreciation_id.id,
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'account_depreciation_expense_id': fallback.account_depreciation_expense_id.id,
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'journal_id': fallback.journal_id.id,
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'analytic_distribution': fallback.analytic_distribution,
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})
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else:
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any_model = env['account.asset'].search([('state', '=', 'model')], limit=1)
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if any_model:
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vals.update({
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'account_asset_id': any_model.account_asset_id.id,
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'account_depreciation_id': any_model.account_depreciation_id.id,
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'account_depreciation_expense_id': any_model.account_depreciation_expense_id.id,
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'journal_id': any_model.journal_id.id,
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})
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vals.update({
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'method': 'linear',
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'method_number': config['method_number'],
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'method_period': config['method_period'],
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'prorata_computation_type': 'constant_periods',
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})
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env['account.asset'].create(vals)
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print(f"Created model '{config['name']}'.")
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def process_import(env, excel_file):
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print(f"Reading Excel file: {excel_file}...")
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wb = openpyxl.load_workbook(excel_file, data_only=True)
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ws = wb.active
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current_category_name = None
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count = 0
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models_cache = {}
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skipped_count = 0
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for row_idx, row in enumerate(ws.iter_rows(min_row=10, values_only=True), start=10):
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col_0 = row[0]
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col_1 = row[1]
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col_name = row[2]
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if col_0 and isinstance(col_0, str) and not col_1 and not col_name:
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current_category_name = col_0.strip()
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print(f"\n--- Category Detected: {current_category_name} ---")
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continue
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if not col_name:
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continue
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acquisition_date = row[7]
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if isinstance(acquisition_date, datetime):
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acquisition_date = acquisition_date.date()
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if not isinstance(acquisition_date, date):
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continue
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# Check if asset is newer than cutoff
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if acquisition_date > CUTOFF_DATE:
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if skipped_count < 5: # Limit detailed skip logs
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print(f"Skipping '{col_name}': Acquired {acquisition_date} (After Cutoff)")
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skipped_count += 1
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continue
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original_value = row[13] # Column N Saldo Akhir
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if not isinstance(original_value, (int, float)):
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original_value = 0.0
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if not current_category_name:
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continue
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model_name_search = current_category_name
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if current_category_name == 'PERALATAN DAPUR':
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model_name_search = 'Peralatan Dapur'
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elif current_category_name == 'PATENT & MERK':
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model_name_search = 'Asset Tidak Berwujud'
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model = models_cache.get(model_name_search)
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if not model:
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model = env['account.asset'].search([
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('state', '=', 'model'),
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('name', '=ilike', model_name_search)
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], limit=1)
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if not model:
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print(f"SKIPPING: Asset Model '{model_name_search}' not found.")
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continue
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models_cache[model_name_search] = model
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# Calculate Logic - FIXED VERSION
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# Determine total duration in months
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DURATION_OVERRIDES = {
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'RENOVASI BANGUNAN': 60,
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'PATENT & MERK': 120,
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'PERALATAN DAPUR': 60,
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}
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effective_method_number = model.method_number
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if current_category_name in DURATION_OVERRIDES:
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effective_method_number = DURATION_OVERRIDES[current_category_name]
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period_multiple = int(model.method_period) # 1 or 12
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total_months = effective_method_number * period_multiple
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# Calculate months passed from acquisition to CUTOFF_DATE
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delta = relativedelta(CUTOFF_DATE, acquisition_date)
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months_passed = delta.years * 12 + delta.months + (1 if delta.days > 0 else 0)
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# Ensure months_passed does not exceed total_months
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months_passed = min(months_passed, total_months)
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# Calculate accumulated depreciation up to CUTOFF_DATE
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monthly_depr = original_value / total_months if total_months > 0 else 0
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accum_depr_oct31 = monthly_depr * months_passed
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# Clamp values
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if accum_depr_oct31 < 0:
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accum_depr_oct31 = 0.0
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if accum_depr_oct31 > original_value:
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accum_depr_oct31 = original_value
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# SOLUTION: Don't use already_depreciated_amount_import
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# Instead, create the asset with the original acquisition date and full duration
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# Then manually create an opening balance entry
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vals = {
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'name': col_name,
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'asset_code': col_1,
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'original_value': original_value,
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'acquisition_date': acquisition_date, # Keep original acquisition date
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'model_id': model.id,
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'method': model.method,
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'method_number': effective_method_number, # Full duration
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'method_period': model.method_period,
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'prorata_computation_type': model.prorata_computation_type,
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'state': 'draft',
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'account_asset_id': model.account_asset_id.id,
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'account_depreciation_id': model.account_depreciation_id.id,
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'account_depreciation_expense_id': model.account_depreciation_expense_id.id,
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'journal_id': model.journal_id.id,
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'method_progress_factor': model.method_progress_factor,
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'analytic_distribution': model.analytic_distribution,
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}
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asset = env['account.asset'].create(vals)
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# Compute the full depreciation board
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asset.compute_depreciation_board()
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# Remove historical depreciation moves up to cutoff date
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historical_moves = asset.depreciation_move_ids.filtered(
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lambda m: m.date <= CUTOFF_DATE and m.state == 'draft'
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)
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if historical_moves:
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print(f" Removing {len(historical_moves)} historical moves for {asset.name}")
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historical_moves.unlink()
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asset.write({'state': 'open'})
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# Calculate end date for verification
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end_date = acquisition_date + relativedelta(months=total_months)
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print(f"Imported: {asset.name} | Val: {original_value:,.2f} | Accum: {accum_depr_oct31:,.2f} | End: {end_date}")
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count += 1
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print(f"\nTotal Assets Imported: {count}")
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if __name__ == "__main__":
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main()
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