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This section provides an example of how you can use the Python collection and processing agents for a batch workflow. In this instance the Python collection agent reads an Excel file. 

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Workflow example with the Python collection and processing agents for batch

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The Excel file being processed

Workflow Configuration

The sections below provide descriptions of agent configurations for the example workflow shown above.

Read_Excel

The Python collection agent is configured to read all the Excel files from the configured directory, process each file in a separate batch and output one UDR per row.

General Tab

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Info
titleExample - Code for Read_Excel


Code Block
import os
import pandas
from .UFL_Types import ItemCount

txn_directory = persistent()
txn_filename = persistent()

def execute():
    # Read all excel files from the configured directory
    txn_directory.value = dynamicFieldGet("Directory", "Name")
    xls = [f for f in os.listdir(txn_directory.value) if f.endswith(".xlsx")]
    # Process each excel file in a separate batch, output one UDR per row
    for fn in xls:
        if not isStopped():
            txn_filename.value = fn
            df = pandas.read_excel(os.path.join(txn_directory.value, fn))
            mimSet("Filename", fn)
            beginBatch()
            debug("Begin batch (txnid=%s, filename=%r)" % (getTransactionId(), fn))
            for idx, item, count in df.itertuples():
                udr = ItemCount()
                udr.item = item
                udr.count = count
                udrRoute(udr)
            endBatch()

def commit():
    # On commit, move the processed file into the "done/" subdirectory
    debug("Commit (txnid=%s, filename=%r)" % (getTransactionId(), txn_filename.value))
    old = os.path.join(txn_directory.value, txn_filename.value)
    new = os.path.join(os.path.join(txn_directory.value, "done"), txn_filename.value)
    if os.path.exists(old):
        os.rename(old, new)
        


MIM Tab

The agent publishes Filename as a string.

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Analyse_Rows

The Python processing agent processes UDRs by defining a consume block, and uses the selected Interpreter profile that is used to configure the Python executables.

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Info
titleExample - Code for Analyse_Rows


Code Block
total_count = 0

def beginBatch():
    fn = mimGet("Read_Excel", "Filename")
    debug("Begin batch (txnid=%s, filename=%r)" % (getTransactionId(), fn))
    global total_count
    total_count = 0

def consume(input):
    debug("%s=%s" % (input.item, input.count))
    global total_count
    total_count += input.count

def endBatch():
    fn = mimGet("Read_Excel", "Filename")
    debug("File %r contained %s items" % (fn, total_count))


Workflow Monitor

The output is shown step by step in the workflow monitor when you have debug enabled.

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Workflow Monitor showing the output for both agents