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p10_gpt4.py
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p10_gpt4.py
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from tools.crm_is import ReceiveOrder
from tools.crm_is import AcceptOrder
from tools.manufacturer import InformStorehouseEngineering
from tools.manufacturer import SendRequirements
from tools.manufacturer import OrderParts
from tools.manufacturer import AssembleBicycle
import threading
def process_part_list(part_list):
for part in part_list:
# Simulate checking if part is available and either reserving or back-ordering it
# This is a simplification, in a real scenario, we would call a service or a database to check part availability
part_available = True # Assume part is available for demonstration purposes
if part_available:
print(f"Reserving part: {part}")
# ReservePart.call(part) # Example of how you would call the tool, assuming it exists
else:
print(f"Back-ordering part: {part}")
# BackOrderPart.call(part) # Example of how you would call the tool, assuming it exists
def prepare_for_assembling():
print("Preparing for assembling...")
def process_order():
part_list, product_id = ReceiveOrder.call()
order_accepted = AcceptOrder.call(product_id=product_id)
if not order_accepted:
print("Order rejected.")
return
# Inform storehouse and engineering department
InformStorehouseEngineering.call(part_list=part_list, product_id=product_id)
# Parallel execution of processing part list and preparing for assembling
part_list_thread = threading.Thread(target=process_part_list, args=(part_list,))
prepare_thread = threading.Thread(target=prepare_for_assembling)
part_list_thread.start()
prepare_thread.start()
part_list_thread.join()
prepare_thread.join()
# Assemble the bicycle
AssembleBicycle.call(part_list=part_list)
print("Bicycle assembled.")
# Ship the bicycle
print("Bicycle shipped to the customer.")
if __name__ == "__main__":
process_order()