batchwise values consumption using python list and dictionary

Question

Hello all i need a little help in finding solution for a datastructure problem using python . I have two datastructures, batches dictionary which contain batch qty for a certain batch and second datastucture so_data is list of orders. Now task is to loop over so_data and consume batchwise quantities in batches on FIFO basis.

batches = {'batch1': 200, 'batch2': 300, 'batch3': 200, 'batch4': 200,
         'batch5': 400, 'batch6': 100, 'batch7': 200, 'batch8': 300}

so_data = [50, 50, 50, 10, 340, 10, 40, 20, 150, 330, 50, 150, 20, 50, 30, 100, 60]


def batchwise_consumption(so_data, batches):
    print(batches)
    for so_qty in so_data:

        for bch,bch_qty in batches.items():
            if bch_qty > 0:
                print('order qty: ', so_qty, ', curr batch qty: ', bch_qty, ', curr batch: ', bch)
                if bch_qty >= so_qty:
                    # order fullfilled by one batch
                    batches[bch] = bch_qty - so_qty
                    print('\trem qty: ', batches[bch])
                    break # break on full filling order
                else:
                    # order fullfilled by partial batches
                    partial_qty = batches[bch]
                    batches[bch] = batches[bch] - batches[bch]
                    rem_so_qty = so_qty-partial_qty
                    print('\tpartial qty', partial_qty, ', rem so qty', rem_so_qty)
                    while partial_qty != so_qty:
                        # make so_qty from multiple batches 
                        break # break on full filling order

    print(batches)
batchwise_consumption(so_data, batches)

This problem is part of dataset, following is simulation of batchwise consumption

Any help or some better solution is appreciated. Thanks in advance for helping .