{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "d86a6212-a23b-49fa-970a-d424e98f24bc",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-21T23:07:20.189726Z",
     "iopub.status.busy": "2021-06-21T23:07:20.189104Z",
     "iopub.status.idle": "2021-06-21T23:07:20.392172Z",
     "shell.execute_reply": "2021-06-21T23:07:20.392519Z"
    },
    "papermill": {
     "duration": 0.22194,
     "end_time": "2021-06-21T23:07:20.392755",
     "exception": false,
     "start_time": "2021-06-21T23:07:20.170815",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "import os\n",
    "import pandas as pd\n",
    "from datetime import datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "0b98548d-5720-4454-b667-f67df9996502",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-21T23:07:20.413329Z",
     "iopub.status.busy": "2021-06-21T23:07:20.411598Z",
     "iopub.status.idle": "2021-06-21T23:07:20.414477Z",
     "shell.execute_reply": "2021-06-21T23:07:20.414054Z"
    },
    "papermill": {
     "duration": 0.015962,
     "end_time": "2021-06-21T23:07:20.414684",
     "exception": false,
     "start_time": "2021-06-21T23:07:20.398722",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "user = os.environ['NB_USER']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "f5df050b-fef8-4e66-a8e7-d3230dd566dc",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-21T23:07:20.439424Z",
     "iopub.status.busy": "2021-06-21T23:07:20.438606Z",
     "iopub.status.idle": "2021-06-21T23:07:20.459831Z",
     "shell.execute_reply": "2021-06-21T23:07:20.459461Z"
    },
    "papermill": {
     "duration": 0.040953,
     "end_time": "2021-06-21T23:07:20.460060",
     "exception": false,
     "start_time": "2021-06-21T23:07:20.419107",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "input-1.csv\n",
      "  userid   name                lastupdated\n",
      "0     u1  user1 2021-06-21 23:07:20.439644\n",
      "1     u2  user2 2021-06-21 23:07:20.439644\n",
      "input-2.csv\n",
      "  userid   name                lastupdated\n",
      "0     u3  user3 2021-06-21 23:07:20.449851\n",
      "1     u4  user4 2021-06-21 23:07:20.449851\n"
     ]
    }
   ],
   "source": [
    "# Update input csv files\n",
    "files = ['input-1.csv', 'input-2.csv']\n",
    "\n",
    "n=0\n",
    "for file in files:\n",
    "    n=n+1\n",
    "    print(file)\n",
    "    input = pd.read_csv(file, header=0)\n",
    "    input['lastupdated'] = datetime.now()\n",
    "    input.to_csv('output-'+str(n)+'.csv', index=False)\n",
    "    print(input)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "dfb1b899-a005-4531-9982-6a6a605b570b",
   "metadata": {
    "papermill": {
     "duration": 0.004127,
     "end_time": "2021-06-21T23:07:20.469738",
     "exception": false,
     "start_time": "2021-06-21T23:07:20.465611",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.8.6"
  },
  "papermill": {
   "default_parameters": {},
   "duration": 1.452803,
   "end_time": "2021-06-21T23:07:20.787069",
   "environment_variables": {},
   "exception": null,
   "input_path": "/home/jovyan/work/pipelines/producer.ipynb",
   "output_path": "/home/jovyan/work/pipelines/producer.ipynb",
   "parameters": {},
   "start_time": "2021-06-21T23:07:19.334266",
   "version": "2.3.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}