python script.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "c45541fc-d937-4ac4-bc8f-d011f64adac3",
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "from urllib.parse import urljoin\n",
    "import urllib.parse\n",
    "import json\n",
    "import re\n",
    "\n",
    "# Specify the url for host\n",
    "host = 'http://localhost:8080'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "92df6e91-277b-45b8-aebf-37dc957de670",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "b'{\"success\":[true],\"error\":[\"\"],\"result\":[\"3.16.5.9001\"]}'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## /version\n",
    "\n",
    "# Add path\n",
    "path_version = '/version'\n",
    "\n",
    "# Combine the url\n",
    "version = urljoin(host,path_version)\n",
    "\n",
    "# Add headers\n",
    "headers = {'Accept': 'application/json'}\n",
    "\n",
    "# Get the url\n",
    "response_version = requests.get(version, headers=headers)\n",
    "\n",
    "# See the response\n",
    "response_version.content"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "039f9172-4fa8-45ca-9dcc-c94044a1775d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\"success\":[true],\"result\":[{\"age\":1},{\"age\":2,\"bmi\":22.7,\"hyp\":1,\"chl\":187},{\"age\":1,\"hyp\":1,\"chl\":187},{\"age\":3},{\"age\":1,\"bmi\":20.4,\"hyp\":1,\"chl\":113},{\"age\":3,\"chl\":184},{\"age\":1,\"bmi\":22.5,\"hyp\":1,\"chl\":118},{\"age\":1,\"bmi\":30.1,\"hyp\":1,\"chl\":187},{\"age\":2,\"bmi\":22,\"hyp\":1,\"chl\":238},{\"age\":2},{\"age\":1},{\"age\":2},{\"age\":3,\"bmi\":21.7,\"hyp\":1,\"chl\":206},{\"age\":2,\"bmi\":28.7,\"hyp\":2,\"chl\":204},{\"age\":1,\"bmi\":29.6,\"hyp\":1},{\"age\":1},{\"age\":3,\"bmi\":27.2,\"hyp\":2,\"chl\":284},{\"age\":2,\"bmi\":26.3,\"hyp\":2,\"chl\":199},{\"age\":1,\"bmi\":35.3,\"hyp\":1,\"chl\":218},{\"age\":3,\"bmi\":25.5,\"hyp\":2},{\"age\":1},{\"age\":1,\"bmi\":33.2,\"hyp\":1,\"chl\":229},{\"age\":1,\"bmi\":27.5,\"hyp\":1,\"chl\":131},{\"age\":3,\"bmi\":24.9,\"hyp\":1},{\"age\":2,\"bmi\":27.4,\"hyp\":1,\"chl\":186}],\"error\":[\"\"]}\n"
     ]
    }
   ],
   "source": [
    "# /exampledata (nhanes)\n",
    "\n",
    "# Add path\n",
    "endpoint = \"/exampledata\"\n",
    "\n",
    "# Construct the query parameters\n",
    "params = {'name': 'nhanes'}\n",
    "\n",
    "# Additional headers if needed\n",
    "headers = {'Accept': 'application/json'}\n",
    "\n",
    "# Make the GET request\n",
    "response = requests.get(host + endpoint, params=params, headers=headers)\n",
    "\n",
    "# Print the response\n",
    "print(response.text)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "78008431-0f8e-4b5f-ae32-3337bd4e0ba2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'age': 1, '.imp': 0, '.id': '1'},\n",
       " {'age': 2, 'bmi': 22.7, 'hyp': 1, 'chl': 187, '.imp': 0, '.id': '2'},\n",
       " {'age': 1, 'hyp': 1, 'chl': 187, '.imp': 0, '.id': '3'},\n",
       " {'age': 3, '.imp': 0, '.id': '4'},\n",
       " {'age': 1, 'bmi': 20.4, 'hyp': 1, 'chl': 113, '.imp': 0, '.id': '5'},\n",
       " {'age': 3, 'chl': 184, '.imp': 0, '.id': '6'},\n",
       " {'age': 1, 'bmi': 22.5, 'hyp': 1, 'chl': 118, '.imp': 0, '.id': '7'},\n",
       " {'age': 1, 'bmi': 30.1, 'hyp': 1, 'chl': 187, '.imp': 0, '.id': '8'},\n",
       " {'age': 2, 'bmi': 22, 'hyp': 1, 'chl': 238, '.imp': 0, '.id': '9'},\n",
       " {'age': 2, '.imp': 0, '.id': '10'},\n",
       " {'age': 1, '.imp': 0, '.id': '11'},\n",
       " {'age': 2, '.imp': 0, '.id': '12'},\n",
       " {'age': 3, 'bmi': 21.7, 'hyp': 1, 'chl': 206, '.imp': 0, '.id': '13'},\n",
       " {'age': 2, 'bmi': 28.7, 'hyp': 2, 'chl': 204, '.imp': 0, '.id': '14'},\n",
       " {'age': 1, 'bmi': 29.6, 'hyp': 1, '.imp': 0, '.id': '15'},\n",
       " {'age': 1, '.imp': 0, '.id': '16'},\n",
       " {'age': 3, 'bmi': 27.2, 'hyp': 2, 'chl': 284, '.imp': 0, '.id': '17'},\n",
       " {'age': 2, 'bmi': 26.3, 'hyp': 2, 'chl': 199, '.imp': 0, '.id': '18'},\n",
       " {'age': 1, 'bmi': 35.3, 'hyp': 1, 'chl': 218, '.imp': 0, '.id': '19'},\n",
       " {'age': 3, 'bmi': 25.5, 'hyp': 2, '.imp': 0, '.id': '20'},\n",
       " {'age': 1, '.imp': 0, '.id': '21'},\n",
       " {'age': 1, 'bmi': 33.2, 'hyp': 1, 'chl': 229, '.imp': 0, '.id': '22'},\n",
       " {'age': 1, 'bmi': 27.5, 'hyp': 1, 'chl': 131, '.imp': 0, '.id': '23'},\n",
       " {'age': 3, 'bmi': 24.9, 'hyp': 1, '.imp': 0, '.id': '24'},\n",
       " {'age': 2, 'bmi': 27.4, 'hyp': 1, 'chl': 186, '.imp': 0, '.id': '25'},\n",
       " {'age': 1, 'bmi': 29.6, 'hyp': 1, 'chl': 238, '.imp': 1, '.id': '1'},\n",
       " {'age': 2, 'bmi': 22.7, 'hyp': 1, 'chl': 187, '.imp': 1, '.id': '2'},\n",
       " {'age': 1, 'bmi': 28.7, 'hyp': 1, 'chl': 187, '.imp': 1, '.id': '3'},\n",
       " {'age': 3, 'bmi': 22.7, 'hyp': 2, 'chl': 206, '.imp': 1, '.id': '4'},\n",
       " {'age': 1, 'bmi': 20.4, 'hyp': 1, 'chl': 113, '.imp': 1, '.id': '5'},\n",
       " {'age': 3, 'bmi': 25.5, 'hyp': 2, 'chl': 184, '.imp': 1, '.id': '6'},\n",
       " {'age': 1, 'bmi': 22.5, 'hyp': 1, 'chl': 118, '.imp': 1, '.id': '7'},\n",
       " {'age': 1, 'bmi': 30.1, 'hyp': 1, 'chl': 187, '.imp': 1, '.id': '8'},\n",
       " {'age': 2, 'bmi': 22, 'hyp': 1, 'chl': 238, '.imp': 1, '.id': '9'},\n",
       " {'age': 2, 'bmi': 28.7, 'hyp': 1, 'chl': 184, '.imp': 1, '.id': '10'},\n",
       " {'age': 1, 'bmi': 22.5, 'hyp': 1, 'chl': 238, '.imp': 1, '.id': '11'},\n",
       " {'age': 2, 'bmi': 26.3, 'hyp': 1, 'chl': 229, '.imp': 1, '.id': '12'},\n",
       " {'age': 3, 'bmi': 21.7, 'hyp': 1, 'chl': 206, '.imp': 1, '.id': '13'},\n",
       " {'age': 2, 'bmi': 28.7, 'hyp': 2, 'chl': 204, '.imp': 1, '.id': '14'},\n",
       " {'age': 1, 'bmi': 29.6, 'hyp': 1, 'chl': 131, '.imp': 1, '.id': '15'},\n",
       " {'age': 1, 'bmi': 33.2, 'hyp': 2, 'chl': 187, '.imp': 1, '.id': '16'},\n",
       " {'age': 3, 'bmi': 27.2, 'hyp': 2, 'chl': 284, '.imp': 1, '.id': '17'},\n",
       " {'age': 2, 'bmi': 26.3, 'hyp': 2, 'chl': 199, '.imp': 1, '.id': '18'},\n",
       " {'age': 1, 'bmi': 35.3, 'hyp': 1, 'chl': 218, '.imp': 1, '.id': '19'},\n",
       " {'age': 3, 'bmi': 25.5, 'hyp': 2, 'chl': 284, '.imp': 1, '.id': '20'},\n",
       " {'age': 1, 'bmi': 33.2, 'hyp': 1, 'chl': 229, '.imp': 1, '.id': '21'},\n",
       " {'age': 1, 'bmi': 33.2, 'hyp': 1, 'chl': 229, '.imp': 1, '.id': '22'},\n",
       " {'age': 1, 'bmi': 27.5, 'hyp': 1, 'chl': 131, '.imp': 1, '.id': '23'},\n",
       " {'age': 3, 'bmi': 24.9, 'hyp': 1, 'chl': 206, '.imp': 1, '.id': '24'},\n",
       " {'age': 2, 'bmi': 27.4, 'hyp': 1, 'chl': 186, '.imp': 1, '.id': '25'}]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## /long\n",
    "\n",
    "# Add path\n",
    "path_long = '/long'\n",
    "\n",
    "# Combine the url\n",
    "long = urljoin(host,path_long)\n",
    "\n",
    "# Add headers\n",
    "headers = {'Accept': 'application/json'}\n",
    "\n",
    "# Add payload\n",
    "params = {'data':'nhanes','maxit':2,'m':1,'seed':1}\n",
    "\n",
    "# Encode the payload as a JSON string and then URL-encode the entire payload\n",
    "payload = urllib.parse.quote('{\"data\":\"%s\",\"maxit\":%d,\"m\":%d,\"seed\":%d}' % (params['data'], params['maxit'], params['m'], params['seed']))\n",
    "\n",
    "# Construct the complete URL\n",
    "long_url = f\"{long}?payload={payload}\"\n",
    "\n",
    "# Make a request using the complete URL\n",
    "response = requests.get(long_url)\n",
    "\n",
    "# Get the response body\n",
    "response.json()\n",
    "json_response = response.json()\n",
    "\n",
    "# Access the \"result\" part\n",
    "result_part = json_response.get(\"result\", [])\n",
    "result_part"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "b15ffc01-a923-44ff-a47a-caf9a9e4f582",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'term': '(Intercept)',\n",
       "  'estimate': 18.6899,\n",
       "  'std.error': 67.8316,\n",
       "  'statistic': 0.2755,\n",
       "  'p.value': 0.7855,\n",
       "  'nobs': 25,\n",
       "  'df.residual': 22},\n",
       " {'term': 'age',\n",
       "  'estimate': 32.13,\n",
       "  'std.error': 10.4163,\n",
       "  'statistic': 3.0846,\n",
       "  'p.value': 0.0054,\n",
       "  'nobs': 25,\n",
       "  'df.residual': 22},\n",
       " {'term': 'bmi',\n",
       "  'estimate': 4.6225,\n",
       "  'std.error': 2.1182,\n",
       "  'statistic': 2.1823,\n",
       "  'p.value': 0.04,\n",
       "  'nobs': 25,\n",
       "  'df.residual': 22}]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## /fit\n",
    "\n",
    "# Add path\n",
    "path_fit = '/fit'\n",
    "\n",
    "# Combine the url\n",
    "fit = urljoin(host,path_fit)\n",
    "\n",
    "# Add headers\n",
    "headers = {'Accept': 'application/json'}\n",
    "\n",
    "# Add payload\n",
    "params_fit = {\n",
    "    \"data\": result_part,\n",
    "    \"model\": [\"lm\"],\n",
    "    \"formula\": [\"chl ~ age + bmi\"]\n",
    "}\n",
    "# Encode the payload as a JSON string and then URL-encode the entire payload\n",
    "payload_fit = json.dumps(params_fit)\n",
    "url_encoded_payload_fit = urllib.parse.quote(payload_fit)\n",
    "\n",
    "# Construct the complete URL\n",
    "fit_url = f\"{fit}?payload={url_encoded_payload_fit}\"\n",
    "\n",
    "# Make a request using the complete URL\n",
    "response_fit = requests.get(fit_url)\n",
    "\n",
    "# Get the response body\n",
    "json_response_fit = response_fit.json()\n",
    "\n",
    "# Access the \"result\" part\n",
    "result_fit = json_response_fit.get(\"result\", [])\n",
    "result_fit\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "1ffdcd78-c7fa-4975-a331-eeb16654bbe3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'term': '(Intercept)',\n",
       "  'm': 1,\n",
       "  'estimate': 18.6899,\n",
       "  'ubar': 4601.126,\n",
       "  'dfcom': 22},\n",
       " {'term': 'age', 'm': 1, 'estimate': 32.13, 'ubar': 108.4993, 'dfcom': 22},\n",
       " {'term': 'bmi', 'm': 1, 'estimate': 4.6225, 'ubar': 4.4868, 'dfcom': 22}]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## /pool\n",
    "\n",
    "# Add path\n",
    "path_pool = '/pool'\n",
    "\n",
    "# Combine the url\n",
    "pool = urljoin(host,path_pool)\n",
    "\n",
    "# Add headers\n",
    "headers = {'Accept': 'application/json'}\n",
    "\n",
    "# Add payload\n",
    "params_pool = {\"data\": result_fit}\n",
    "\n",
    "# Encode the payload as a JSON string and then URL-encode the entire payload\n",
    "payload_pool = json.dumps(params_pool)\n",
    "url_encoded_payload_pool = urllib.parse.quote(payload_pool)\n",
    "\n",
    "# Construct the complete URL\n",
    "pool_url = f\"{pool}?payload={url_encoded_payload_pool}\"\n",
    "\n",
    "# Make a request using the complete URL\n",
    "response_pool = requests.get(pool_url)\n",
    "\n",
    "# Get the response body\n",
    "json_response_pool = response_pool.json()\n",
    "\n",
    "# Access the \"result\" part\n",
    "result_pool = json_response_pool.get(\"result\", [])\n",
    "result_pool\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "d9a29226-9d76-464a-bf78-b976a9c5613d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Content-type: text/plain\n",
      "Server: RestRserve/1.2.1; Rserve/1.8.11\n",
      "data_token: 987fce4351763634e1b5ce80b2c4d0df\n",
      "Content-length: 0\n",
      "987fce4351763634e1b5ce80b2c4d0df\n"
     ]
    }
   ],
   "source": [
    "# /data\n",
    "\n",
    "# Add  path\n",
    "path_data = '/data'\n",
    "\n",
    "# Combine the url\n",
    "data_upload = urljoin(host,path_data)\n",
    "\n",
    "# File path of the csv file\n",
    "file_path = r\"C:\\Users\\Zenius\\Documents\\GitHub\\webmice\\testdata\\tempdata.csv\"\n",
    "\n",
    "# Construct the files dictionary\n",
    "files = {'csvfile': (file_path, open(file_path, 'rb'))}\n",
    "\n",
    "# Additional headers\n",
    "headers = {'accept': 'text/plain'}\n",
    "\n",
    "# Make the POST request\n",
    "response = requests.post(data_upload, files=files, headers=headers)\n",
    "\n",
    "# Print all response headers\n",
    "for key, value in response.headers.items():\n",
    "    print(f\"{key}: {value}\")\n",
    "\n",
    "# Retrieve the data_token from headers\n",
    "data_token = response.headers.get('data_token')\n",
    "print(data_token)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "f1d83169-8736-4fed-90d5-3f9134b0d9ee",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'...1': 1, 'age': 1, '.imp': 0, '.id': 1},\n",
       " {'...1': 2, 'age': 2, 'bmi': 22.7, 'hyp': 1, 'chl': 187, '.imp': 0, '.id': 2},\n",
       " {'...1': 3, 'age': 1, 'hyp': 1, 'chl': 187, '.imp': 0, '.id': 3},\n",
       " {'...1': 4, 'age': 3, '.imp': 0, '.id': 4},\n",
       " {'...1': 5, 'age': 1, 'bmi': 20.4, 'hyp': 1, 'chl': 113, '.imp': 0, '.id': 5},\n",
       " {'...1': 6, 'age': 3, 'chl': 184, '.imp': 0, '.id': 6},\n",
       " {'...1': 7, 'age': 1, 'bmi': 22.5, 'hyp': 1, 'chl': 118, '.imp': 0, '.id': 7},\n",
       " {'...1': 8, 'age': 1, 'bmi': 30.1, 'hyp': 1, 'chl': 187, '.imp': 0, '.id': 8},\n",
       " {'...1': 9, 'age': 2, 'bmi': 22, 'hyp': 1, 'chl': 238, '.imp': 0, '.id': 9},\n",
       " {'...1': 10, 'age': 2, '.imp': 0, '.id': 10},\n",
       " {'...1': 11, 'age': 1, '.imp': 0, '.id': 11},\n",
       " {'...1': 12, 'age': 2, '.imp': 0, '.id': 12},\n",
       " {'...1': 13,\n",
       "  'age': 3,\n",
       "  'bmi': 21.7,\n",
       "  'hyp': 1,\n",
       "  'chl': 206,\n",
       "  '.imp': 0,\n",
       "  '.id': 13},\n",
       " {'...1': 14,\n",
       "  'age': 2,\n",
       "  'bmi': 28.7,\n",
       "  'hyp': 2,\n",
       "  'chl': 204,\n",
       "  '.imp': 0,\n",
       "  '.id': 14},\n",
       " {'...1': 15, 'age': 1, 'bmi': 29.6, 'hyp': 1, '.imp': 0, '.id': 15},\n",
       " {'...1': 16, 'age': 1, '.imp': 0, '.id': 16},\n",
       " {'...1': 17,\n",
       "  'age': 3,\n",
       "  'bmi': 27.2,\n",
       "  'hyp': 2,\n",
       "  'chl': 284,\n",
       "  '.imp': 0,\n",
       "  '.id': 17},\n",
       " {'...1': 18,\n",
       "  'age': 2,\n",
       "  'bmi': 26.3,\n",
       "  'hyp': 2,\n",
       "  'chl': 199,\n",
       "  '.imp': 0,\n",
       "  '.id': 18},\n",
       " {'...1': 19,\n",
       "  'age': 1,\n",
       "  'bmi': 35.3,\n",
       "  'hyp': 1,\n",
       "  'chl': 218,\n",
       "  '.imp': 0,\n",
       "  '.id': 19},\n",
       " {'...1': 20, 'age': 3, 'bmi': 25.5, 'hyp': 2, '.imp': 0, '.id': 20},\n",
       " {'...1': 21, 'age': 1, '.imp': 0, '.id': 21},\n",
       " {'...1': 22,\n",
       "  'age': 1,\n",
       "  'bmi': 33.2,\n",
       "  'hyp': 1,\n",
       "  'chl': 229,\n",
       "  '.imp': 0,\n",
       "  '.id': 22},\n",
       " {'...1': 23,\n",
       "  'age': 1,\n",
       "  'bmi': 27.5,\n",
       "  'hyp': 1,\n",
       "  'chl': 131,\n",
       "  '.imp': 0,\n",
       "  '.id': 23},\n",
       " {'...1': 24, 'age': 3, 'bmi': 24.9, 'hyp': 1, '.imp': 0, '.id': 24},\n",
       " {'...1': 25,\n",
       "  'age': 2,\n",
       "  'bmi': 27.4,\n",
       "  'hyp': 1,\n",
       "  'chl': 186,\n",
       "  '.imp': 0,\n",
       "  '.id': 25},\n",
       " {'...1': 1, 'age': 1, 'bmi': 30.1, 'hyp': 1, 'chl': 284, '.imp': 1, '.id': 1},\n",
       " {'...1': 2, 'age': 2, 'bmi': 22.7, 'hyp': 1, 'chl': 187, '.imp': 1, '.id': 2},\n",
       " {'...1': 3, 'age': 1, 'bmi': 22, 'hyp': 1, 'chl': 187, '.imp': 1, '.id': 3},\n",
       " {'...1': 4, 'age': 3, 'bmi': 20.4, 'hyp': 1, 'chl': 204, '.imp': 1, '.id': 4},\n",
       " {'...1': 5, 'age': 1, 'bmi': 20.4, 'hyp': 1, 'chl': 113, '.imp': 1, '.id': 5},\n",
       " {'...1': 6, 'age': 3, 'bmi': 20.4, 'hyp': 2, 'chl': 184, '.imp': 1, '.id': 6},\n",
       " {'...1': 7, 'age': 1, 'bmi': 22.5, 'hyp': 1, 'chl': 118, '.imp': 1, '.id': 7},\n",
       " {'...1': 8, 'age': 1, 'bmi': 30.1, 'hyp': 1, 'chl': 187, '.imp': 1, '.id': 8},\n",
       " {'...1': 9, 'age': 2, 'bmi': 22, 'hyp': 1, 'chl': 238, '.imp': 1, '.id': 9},\n",
       " {'...1': 10, 'age': 2, 'bmi': 22, 'hyp': 2, 'chl': 238, '.imp': 1, '.id': 10},\n",
       " {'...1': 11,\n",
       "  'age': 1,\n",
       "  'bmi': 28.7,\n",
       "  'hyp': 1,\n",
       "  'chl': 199,\n",
       "  '.imp': 1,\n",
       "  '.id': 11},\n",
       " {'...1': 12,\n",
       "  'age': 2,\n",
       "  'bmi': 27.4,\n",
       "  'hyp': 1,\n",
       "  'chl': 187,\n",
       "  '.imp': 1,\n",
       "  '.id': 12},\n",
       " {'...1': 13,\n",
       "  'age': 3,\n",
       "  'bmi': 21.7,\n",
       "  'hyp': 1,\n",
       "  'chl': 206,\n",
       "  '.imp': 1,\n",
       "  '.id': 13},\n",
       " {'...1': 14,\n",
       "  'age': 2,\n",
       "  'bmi': 28.7,\n",
       "  'hyp': 2,\n",
       "  'chl': 204,\n",
       "  '.imp': 1,\n",
       "  '.id': 14},\n",
       " {'...1': 15,\n",
       "  'age': 1,\n",
       "  'bmi': 29.6,\n",
       "  'hyp': 1,\n",
       "  'chl': 186,\n",
       "  '.imp': 1,\n",
       "  '.id': 15},\n",
       " {'...1': 16,\n",
       "  'age': 1,\n",
       "  'bmi': 28.7,\n",
       "  'hyp': 1,\n",
       "  'chl': 199,\n",
       "  '.imp': 1,\n",
       "  '.id': 16},\n",
       " {'...1': 17,\n",
       "  'age': 3,\n",
       "  'bmi': 27.2,\n",
       "  'hyp': 2,\n",
       "  'chl': 284,\n",
       "  '.imp': 1,\n",
       "  '.id': 17},\n",
       " {'...1': 18,\n",
       "  'age': 2,\n",
       "  'bmi': 26.3,\n",
       "  'hyp': 2,\n",
       "  'chl': 199,\n",
       "  '.imp': 1,\n",
       "  '.id': 18},\n",
       " {'...1': 19,\n",
       "  'age': 1,\n",
       "  'bmi': 35.3,\n",
       "  'hyp': 1,\n",
       "  'chl': 218,\n",
       "  '.imp': 1,\n",
       "  '.id': 19},\n",
       " {'...1': 20,\n",
       "  'age': 3,\n",
       "  'bmi': 25.5,\n",
       "  'hyp': 2,\n",
       "  'chl': 229,\n",
       "  '.imp': 1,\n",
       "  '.id': 20},\n",
       " {'...1': 21,\n",
       "  'age': 1,\n",
       "  'bmi': 35.3,\n",
       "  'hyp': 1,\n",
       "  'chl': 199,\n",
       "  '.imp': 1,\n",
       "  '.id': 21},\n",
       " {'...1': 22,\n",
       "  'age': 1,\n",
       "  'bmi': 33.2,\n",
       "  'hyp': 1,\n",
       "  'chl': 229,\n",
       "  '.imp': 1,\n",
       "  '.id': 22},\n",
       " {'...1': 23,\n",
       "  'age': 1,\n",
       "  'bmi': 27.5,\n",
       "  'hyp': 1,\n",
       "  'chl': 131,\n",
       "  '.imp': 1,\n",
       "  '.id': 23},\n",
       " {'...1': 24,\n",
       "  'age': 3,\n",
       "  'bmi': 24.9,\n",
       "  'hyp': 1,\n",
       "  'chl': 238,\n",
       "  '.imp': 1,\n",
       "  '.id': 24},\n",
       " {'...1': 25,\n",
       "  'age': 2,\n",
       "  'bmi': 27.4,\n",
       "  'hyp': 1,\n",
       "  'chl': 186,\n",
       "  '.imp': 1,\n",
       "  '.id': 25}]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## /long\n",
    "\n",
    "# Add path\n",
    "path_long = '/long'\n",
    "\n",
    "# Combine the url\n",
    "long = urljoin(host,path_long)\n",
    "\n",
    "# Add headers\n",
    "headers = {'Accept': 'application/json'}\n",
    "\n",
    "# Add payload\n",
    "params = {'data':data_token,'maxit':2,'m':1,'seed':1}\n",
    "\n",
    "# Encode the payload as a JSON string and then URL-encode the entire payload\n",
    "payload = urllib.parse.quote('{\"data\":\"%s\",\"maxit\":%d,\"m\":%d,\"seed\":%d}' % (params['data'], params['maxit'], params['m'], params['seed']))\n",
    "\n",
    "# Construct the complete URL\n",
    "long_url = f\"{long}?payload={payload}\"\n",
    "\n",
    "# Make a request using the complete URL\n",
    "response = requests.get(long_url)\n",
    "\n",
    "# Get the response body\n",
    "response.json()\n",
    "json_response = response.json()\n",
    "\n",
    "# Access the \"result\" part\n",
    "result_part = json_response.get(\"result\", [])\n",
    "result_part\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "1f0db415-55b8-4841-8fda-a5ac2c825c22",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'term': '(Intercept)',\n",
       "  'estimate': 2.1423,\n",
       "  'std.error': 57.5893,\n",
       "  'statistic': 0.0372,\n",
       "  'p.value': 0.9707,\n",
       "  'nobs': 25,\n",
       "  'df.residual': 22},\n",
       " {'term': 'age',\n",
       "  'estimate': 32.8323,\n",
       "  'std.error': 9.5736,\n",
       "  'statistic': 3.4295,\n",
       "  'p.value': 0.0024,\n",
       "  'nobs': 25,\n",
       "  'df.residual': 22},\n",
       " {'term': 'bmi',\n",
       "  'estimate': 5.3573,\n",
       "  'std.error': 1.7743,\n",
       "  'statistic': 3.0194,\n",
       "  'p.value': 0.0063,\n",
       "  'nobs': 25,\n",
       "  'df.residual': 22}]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## /fit\n",
    "\n",
    "# Add path\n",
    "path_fit = '/fit'\n",
    "\n",
    "# Combine the url\n",
    "fit = urljoin(host,path_fit)\n",
    "\n",
    "# Add headers\n",
    "headers = {'Accept': 'application/json'}\n",
    "\n",
    "# Add payload\n",
    "params_fit = {\n",
    "    \"data\": result_part,\n",
    "    \"model\": [\"lm\"],\n",
    "    \"formula\": [\"chl ~ age + bmi\"]\n",
    "}\n",
    "# Encode the payload as a JSON string and then URL-encode the entire payload\n",
    "payload_fit = json.dumps(params_fit)\n",
    "url_encoded_payload_fit = urllib.parse.quote(payload_fit)\n",
    "\n",
    "# Construct the complete URL\n",
    "fit_url = f\"{fit}?payload={url_encoded_payload_fit}\"\n",
    "\n",
    "# Make a request using the complete URL\n",
    "response_fit = requests.get(fit_url)\n",
    "\n",
    "# Get the response body\n",
    "json_response_fit = response_fit.json()\n",
    "\n",
    "# Access the \"result\" part\n",
    "result_fit = json_response_fit.get(\"result\", [])\n",
    "result_fit\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "3aa5c9f3-f5a0-45c8-bf79-1c4cc3ae98ef",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'term': '(Intercept)',\n",
       "  'm': 1,\n",
       "  'estimate': 2.1423,\n",
       "  'ubar': 3316.5275,\n",
       "  'dfcom': 22},\n",
       " {'term': 'age', 'm': 1, 'estimate': 32.8323, 'ubar': 91.6538, 'dfcom': 22},\n",
       " {'term': 'bmi', 'm': 1, 'estimate': 5.3573, 'ubar': 3.1481, 'dfcom': 22}]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## /pool\n",
    "\n",
    "# Add path\n",
    "path_pool = '/pool'\n",
    "\n",
    "# Combine the url\n",
    "pool = urljoin(host,path_pool)\n",
    "\n",
    "# Add headers\n",
    "headers = {'Accept': 'application/json'}\n",
    "\n",
    "# Add payload\n",
    "params_pool = {\"data\": result_fit}\n",
    "\n",
    "# Encode the payload as a JSON string and then URL-encode the entire payload\n",
    "payload_pool = json.dumps(params_pool)\n",
    "url_encoded_payload_pool = urllib.parse.quote(payload_pool)\n",
    "\n",
    "# Construct the complete URL\n",
    "pool_url = f\"{pool}?payload={url_encoded_payload_pool}\"\n",
    "\n",
    "# Make a request using the complete URL\n",
    "response_pool = requests.get(pool_url)\n",
    "\n",
    "# Get the response body\n",
    "json_response_pool = response_pool.json()\n",
    "\n",
    "# Access the \"result\" part\n",
    "result_pool = json_response_pool.get(\"result\", [])\n",
    "result_pool\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d6cd6715-55d0-4b2a-95a9-f50a07ed19ce",
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n"
   ]
  }
 ],
 "metadata": {
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   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
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   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
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