{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "\n# Worker script\n\nThis script is responsible for receiving pipeline configurations from BugDoc's algorithms.\nIt runs and evaluates the pipeline instances, and returns the result to BugDoc.\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Importing necessary packages.\nWe load utility packages to open communication and store pipeline instances.\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "import ast\nimport sys\nimport traceback\nimport zmq\nfrom bugdoc.utils.utils import record_pipeline_run"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Importing pipeline engine API.\nHere we load the function that executes and evaluates a pipeline instance.\nPlease replace with your own API\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "from my_api_example import execute_pipeline\n\n\nhost = 'localhost'\nreceive = '5557'\nsend = '5558'\n\ncontext = zmq.Context()\n\n# Socket to receive messages on\nreceiver = context.socket(zmq.PULL)\nreceiver.connect(\"tcp://{0}:{1}\".format(host, receive))\n\n# Socket to send messages to\nsender = context.socket(zmq.PUSH)\nsender.connect(\"tcp://{0}:{1}\".format(host, send))\n\n\n# Process tasks forever\nwhile True:\n    data = receiver.recv_string()\n    fields = data.split(\"|\")\n    filename = fields[0]\n    values = ast.literal_eval(fields[1])\n    parameters = ast.literal_eval(fields[2])\n    try:\n        configuration = {\n            parameters[i]: values[i]\n            for i in range(len(parameters))\n        }\n        result = execute_pipeline(configuration) # Please replace this function call\n    except:\n        traceback.print_exc(file=sys.stdout)\n        result = False\n  \n    record_pipeline_run(filename, values, parameters, result)\n    values.append(result)\n    sender.send_string(str(values))"
      ]
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.10.20"
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  },
  "nbformat": 4,
  "nbformat_minor": 0
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