examples/example.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "txt = os.getcwd()\n",
    "txt = txt.split(\"/\")[:-1]\n",
    "parent_path = \"/\".join(txt)\n",
    "os.chdir(parent_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# os.getcwd()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "import pprint\n",
    "import objectpath\n",
    "import pandas as pd\n",
    "\n",
    "from src.graph_tools import join_path\n",
    "from query import Query"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "pp = pprint.PrettyPrinter(indent=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "fhir_api_url = 'http://hapi.fhir.org/baseR4/'\n",
    "path_rules = 'data'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load example"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "dirname = 'tests/1'\n",
    "filename_config = 'config.json'\n",
    "with open(os.path.join(dirname, filename_config)) as json_file:\n",
    "    config = json.load(json_file)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Execute Query"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "query = Query(fhir_api_url, path_rules)\n",
    "query.from_config(config)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "query.execute()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": "            patient:id patient:gender patient:name.given patient:birthDate  \\\n0      Patient/1171644         female          [[Darcy]]        1970-01-01   \n1      Patient/1171644         female          [[Darcy]]        1970-01-01   \n2  Patient/ailovdisyb2         female          [[Darcy]]        1970-01-01   \n3  Patient/ailovdisyb2         female          [[Darcy]]        1970-01-01   \n4        Patient/lalo2         female          [[Darcy]]        1970-01-01   \n\n  patient:name.family           condition:id  \\\n0             [Smith]      Condition/1171652   \n1             [Smith]      Condition/1171648   \n2             [Smith]          Condition/abc   \n3             [Smith]  Condition/ailovdisyb1   \n4             [Smith]        Condition/lalo1   \n\n                        condition:verificationStatus  \\\n0  {'coding': [{'system': 'http://terminology.hl7...   \n1  {'coding': [{'system': 'http://terminology.hl7...   \n2  {'coding': [{'system': 'http://terminology.hl7...   \n3  {'coding': [{'system': 'http://terminology.hl7...   \n4  {'coding': [{'system': 'http://terminology.hl7...   \n\n  condition:asserter.reference condition:subject.reference  \\\n0         Practitioner/1171647             Patient/1171644   \n1         Practitioner/1171647             Patient/1171644   \n2     Practitioner/ailovdisyb3         Patient/ailovdisyb2   \n3     Practitioner/ailovdisyb3         Patient/ailovdisyb2   \n4           Practitioner/lalo3               Patient/lalo2   \n\n            practitioner:id  \\\n0      Practitioner/1171647   \n1      Practitioner/1171647   \n2  Practitioner/ailovdisyb3   \n3  Practitioner/ailovdisyb3   \n4        Practitioner/lalo3   \n\n                                   practitioner:name practitioner:name.family  \n0  [{'use': 'official', 'family': 'van den broek'...          [van den broek]  \n1  [{'use': 'official', 'family': 'van den broek'...          [van den broek]  \n2  [{'use': 'official', 'family': 'van den broek'...          [van den broek]  \n3  [{'use': 'official', 'family': 'van den broek'...          [van den broek]  \n4  [{'use': 'official', 'family': 'van den broek'...          [van den broek]  ",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>patient:id</th>\n      <th>patient:gender</th>\n      <th>patient:name.given</th>\n      <th>patient:birthDate</th>\n      <th>patient:name.family</th>\n      <th>condition:id</th>\n      <th>condition:verificationStatus</th>\n      <th>condition:asserter.reference</th>\n      <th>condition:subject.reference</th>\n      <th>practitioner:id</th>\n      <th>practitioner:name</th>\n      <th>practitioner:name.family</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Patient/1171644</td>\n      <td>female</td>\n      <td>[[Darcy]]</td>\n      <td>1970-01-01</td>\n      <td>[Smith]</td>\n      <td>Condition/1171652</td>\n      <td>{'coding': [{'system': 'http://terminology.hl7...</td>\n      <td>Practitioner/1171647</td>\n      <td>Patient/1171644</td>\n      <td>Practitioner/1171647</td>\n      <td>[{'use': 'official', 'family': 'van den broek'...</td>\n      <td>[van den broek]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Patient/1171644</td>\n      <td>female</td>\n      <td>[[Darcy]]</td>\n      <td>1970-01-01</td>\n      <td>[Smith]</td>\n      <td>Condition/1171648</td>\n      <td>{'coding': [{'system': 'http://terminology.hl7...</td>\n      <td>Practitioner/1171647</td>\n      <td>Patient/1171644</td>\n      <td>Practitioner/1171647</td>\n      <td>[{'use': 'official', 'family': 'van den broek'...</td>\n      <td>[van den broek]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Patient/ailovdisyb2</td>\n      <td>female</td>\n      <td>[[Darcy]]</td>\n      <td>1970-01-01</td>\n      <td>[Smith]</td>\n      <td>Condition/abc</td>\n      <td>{'coding': [{'system': 'http://terminology.hl7...</td>\n      <td>Practitioner/ailovdisyb3</td>\n      <td>Patient/ailovdisyb2</td>\n      <td>Practitioner/ailovdisyb3</td>\n      <td>[{'use': 'official', 'family': 'van den broek'...</td>\n      <td>[van den broek]</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Patient/ailovdisyb2</td>\n      <td>female</td>\n      <td>[[Darcy]]</td>\n      <td>1970-01-01</td>\n      <td>[Smith]</td>\n      <td>Condition/ailovdisyb1</td>\n      <td>{'coding': [{'system': 'http://terminology.hl7...</td>\n      <td>Practitioner/ailovdisyb3</td>\n      <td>Patient/ailovdisyb2</td>\n      <td>Practitioner/ailovdisyb3</td>\n      <td>[{'use': 'official', 'family': 'van den broek'...</td>\n      <td>[van den broek]</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Patient/lalo2</td>\n      <td>female</td>\n      <td>[[Darcy]]</td>\n      <td>1970-01-01</td>\n      <td>[Smith]</td>\n      <td>Condition/lalo1</td>\n      <td>{'coding': [{'system': 'http://terminology.hl7...</td>\n      <td>Practitioner/lalo3</td>\n      <td>Patient/lalo2</td>\n      <td>Practitioner/lalo3</td>\n      <td>[{'use': 'official', 'family': 'van den broek'...</td>\n      <td>[van den broek]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "metadata": {},
     "execution_count": 10
    }
   ],
   "source": [
    "df = query.main_dataframe\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Functionalities Overview"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "                                     patient:id patient:gender  \\\n0  Patient/ee8383ea-d062-46db-85d0-c4d7d82255d5         female   \n1                               Patient/1171644         female   \n2                           Patient/ailovdisyb2         female   \n3                                 Patient/lalo2         female   \n\n         patient:name.given patient:birthDate      patient:name.family  \n0  [[Gayle448], [Gayle448]]        1945-09-02  [Raynor401, Smitham825]  \n1                 [[Darcy]]        1970-01-01                  [Smith]  \n2                 [[Darcy]]        1970-01-01                  [Smith]  \n3                 [[Darcy]]        1970-01-01                  [Smith]  ",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>patient:id</th>\n      <th>patient:gender</th>\n      <th>patient:name.given</th>\n      <th>patient:birthDate</th>\n      <th>patient:name.family</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Patient/ee8383ea-d062-46db-85d0-c4d7d82255d5</td>\n      <td>female</td>\n      <td>[[Gayle448], [Gayle448]]</td>\n      <td>1945-09-02</td>\n      <td>[Raynor401, Smitham825]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Patient/1171644</td>\n      <td>female</td>\n      <td>[[Darcy]]</td>\n      <td>1970-01-01</td>\n      <td>[Smith]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Patient/ailovdisyb2</td>\n      <td>female</td>\n      <td>[[Darcy]]</td>\n      <td>1970-01-01</td>\n      <td>[Smith]</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Patient/lalo2</td>\n      <td>female</td>\n      <td>[[Darcy]]</td>\n      <td>1970-01-01</td>\n      <td>[Smith]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "metadata": {}
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "            practitioner:id  \\\n0      Practitioner/1171647   \n1  Practitioner/ailovdisyb3   \n2        Practitioner/lalo3   \n\n                                   practitioner:name practitioner:name.family  \n0  [{'use': 'official', 'family': 'van den broek'...          [van den broek]  \n1  [{'use': 'official', 'family': 'van den broek'...          [van den broek]  \n2  [{'use': 'official', 'family': 'van den broek'...          [van den broek]  ",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>practitioner:id</th>\n      <th>practitioner:name</th>\n      <th>practitioner:name.family</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Practitioner/1171647</td>\n      <td>[{'use': 'official', 'family': 'van den broek'...</td>\n      <td>[van den broek]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Practitioner/ailovdisyb3</td>\n      <td>[{'use': 'official', 'family': 'van den broek'...</td>\n      <td>[van den broek]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Practitioner/lalo3</td>\n      <td>[{'use': 'official', 'family': 'van den broek'...</td>\n      <td>[van den broek]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "metadata": {}
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "            condition:id                       condition:verificationStatus  \\\n0        Condition/lalo1  {'coding': [{'system': 'http://terminology.hl7...   \n1      Condition/1171652  {'coding': [{'system': 'http://terminology.hl7...   \n2      Condition/1171648  {'coding': [{'system': 'http://terminology.hl7...   \n3          Condition/abc  {'coding': [{'system': 'http://terminology.hl7...   \n4  Condition/ailovdisyb1  {'coding': [{'system': 'http://terminology.hl7...   \n\n  condition:asserter.reference condition:subject.reference  \n0           Practitioner/lalo3               Patient/lalo2  \n1         Practitioner/1171647             Patient/1171644  \n2         Practitioner/1171647             Patient/1171644  \n3     Practitioner/ailovdisyb3         Patient/ailovdisyb2  \n4     Practitioner/ailovdisyb3         Patient/ailovdisyb2  ",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>condition:id</th>\n      <th>condition:verificationStatus</th>\n      <th>condition:asserter.reference</th>\n      <th>condition:subject.reference</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Condition/lalo1</td>\n      <td>{'coding': [{'system': 'http://terminology.hl7...</td>\n      <td>Practitioner/lalo3</td>\n      <td>Patient/lalo2</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Condition/1171652</td>\n      <td>{'coding': [{'system': 'http://terminology.hl7...</td>\n      <td>Practitioner/1171647</td>\n      <td>Patient/1171644</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Condition/1171648</td>\n      <td>{'coding': [{'system': 'http://terminology.hl7...</td>\n      <td>Practitioner/1171647</td>\n      <td>Patient/1171644</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Condition/abc</td>\n      <td>{'coding': [{'system': 'http://terminology.hl7...</td>\n      <td>Practitioner/ailovdisyb3</td>\n      <td>Patient/ailovdisyb2</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Condition/ailovdisyb1</td>\n      <td>{'coding': [{'system': 'http://terminology.hl7...</td>\n      <td>Practitioner/ailovdisyb3</td>\n      <td>Patient/ailovdisyb2</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "metadata": {}
    }
   ],
   "source": [
    "for _,df in query.dataframes.items():\n",
    "    display(df.head(5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": "{'condition': {'count': False,\n               'elements': {'additional_resource': ['id'],\n                            'additional_root': [],\n                            'join': ['asserter.reference', 'subject.reference'],\n                            'select': ['verificationStatus'],\n                            'where': ['verificationStatus']},\n               'resource_type': 'Condition',\n               'search_parameters': {'verification-status': {'prefix': None,\n                                                             'value': 'confirmed'}}},\n 'patient': {'count': False,\n             'elements': {'additional_resource': ['id'],\n                          'additional_root': [],\n                          'join': [],\n                          'select': ['gender', 'name.given', 'birthDate'],\n                          'where': ['name.family']},\n             'resource_type': 'Patient',\n             'search_parameters': {'family': {'prefix': None,\n                                              'value': 'Smith'}}},\n 'practitioner': {'count': False,\n                  'elements': {'additional_resource': ['id'],\n                               'additional_root': [],\n                               'join': [],\n                               'select': ['name'],\n                               'where': ['name.family']},\n                  'resource_type': 'Practitioner',\n                  'search_parameters': {'family': {'prefix': None,\n                                                   'value': 'van den broek'}}}}\n"
    }
   ],
   "source": [
    "pp.pprint(query.graph_query.resources_alias_info)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
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\n"
     },
     "metadata": {}
    }
   ],
   "source": [
    "query.graph_query.draw_relations()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load example"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "dirname = 'tests/2'\n",
    "filename_config = 'config.json'\n",
    "with open(os.path.join(dirname, filename_config)) as json_file:\n",
    "    config = json.load(json_file)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Execute Query"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "query = Query(fhir_api_url, path_rules)\n",
    "query.from_config(config)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "query.execute()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": "             patient:id patient:birthdate patient:gender patient:birthDate  \\\n0         Patient/47762              None           male        1986-04-08   \n1         Patient/40995              None           male        1974-05-08   \n2         Patient/40937              None         female        1992-11-10   \n3        Patient/251071              None         female        1979-08-18   \n4        Patient/251071              None         female        1979-08-18   \n..                  ...               ...            ...               ...   \n90        Patient/54917              None           male        1989-01-01   \n91        Patient/40892              None           male        1994-08-25   \n92      Patient/1164082              None           male        1974-12-25   \n93  Patient/ailovdisyb4              None         female        1976-01-01   \n94        Patient/40848              None           male        1994-08-25   \n\n             observation:id observation:component.valueQuantity.value  \\\n0         Observation/47766                                 [107, 60]   \n1         Observation/41029                                 [117, 65]   \n2         Observation/40941                                 [107, 60]   \n3        Observation/251095                                     [107]   \n4        Observation/251096                                   [23.78]   \n..                      ...                                       ...   \n90        Observation/54919                                 [107, 60]   \n91        Observation/40896                                 [107, 60]   \n92      Observation/1167058                                 [107, 60]   \n93  Observation/ailovdisyb5                                 [107, 60]   \n94        Observation/40852                                 [107, 60]   \n\n                                     observation:code  \\\n0   {'coding': [{'system': 'http://loinc.org', 'co...   \n1   {'coding': [{'system': 'http://loinc.org', 'co...   \n2   {'coding': [{'system': 'http://loinc.org', 'co...   \n3   {'coding': [{'system': 'http://loinc.org', 'co...   \n4   {'coding': [{'system': 'http://loinc.org', 'co...   \n..                                                ...   \n90  {'coding': [{'system': 'http://loinc.org', 'co...   \n91  {'coding': [{'system': 'http://loinc.org', 'co...   \n92  {'coding': [{'system': 'http://loinc.org', 'co...   \n93  {'coding': [{'system': 'http://loinc.org', 'co...   \n94  {'coding': [{'system': 'http://loinc.org', 'co...   \n\n   observation:subject.reference  \n0                  Patient/47762  \n1                  Patient/40995  \n2                  Patient/40937  \n3                 Patient/251071  \n4                 Patient/251071  \n..                           ...  \n90                 Patient/54917  \n91                 Patient/40892  \n92               Patient/1164082  \n93           Patient/ailovdisyb4  \n94                 Patient/40848  \n\n[95 rows x 8 columns]",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>patient:id</th>\n      <th>patient:birthdate</th>\n      <th>patient:gender</th>\n      <th>patient:birthDate</th>\n      <th>observation:id</th>\n      <th>observation:component.valueQuantity.value</th>\n      <th>observation:code</th>\n      <th>observation:subject.reference</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Patient/47762</td>\n      <td>None</td>\n      <td>male</td>\n      <td>1986-04-08</td>\n      <td>Observation/47766</td>\n      <td>[107, 60]</td>\n      <td>{'coding': [{'system': 'http://loinc.org', 'co...</td>\n      <td>Patient/47762</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Patient/40995</td>\n      <td>None</td>\n      <td>male</td>\n      <td>1974-05-08</td>\n      <td>Observation/41029</td>\n      <td>[117, 65]</td>\n      <td>{'coding': [{'system': 'http://loinc.org', 'co...</td>\n      <td>Patient/40995</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Patient/40937</td>\n      <td>None</td>\n      <td>female</td>\n      <td>1992-11-10</td>\n      <td>Observation/40941</td>\n      <td>[107, 60]</td>\n      <td>{'coding': [{'system': 'http://loinc.org', 'co...</td>\n      <td>Patient/40937</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Patient/251071</td>\n      <td>None</td>\n      <td>female</td>\n      <td>1979-08-18</td>\n      <td>Observation/251095</td>\n      <td>[107]</td>\n      <td>{'coding': [{'system': 'http://loinc.org', 'co...</td>\n      <td>Patient/251071</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Patient/251071</td>\n      <td>None</td>\n      <td>female</td>\n      <td>1979-08-18</td>\n      <td>Observation/251096</td>\n      <td>[23.78]</td>\n      <td>{'coding': [{'system': 'http://loinc.org', 'co...</td>\n      <td>Patient/251071</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>90</th>\n      <td>Patient/54917</td>\n      <td>None</td>\n      <td>male</td>\n      <td>1989-01-01</td>\n      <td>Observation/54919</td>\n      <td>[107, 60]</td>\n      <td>{'coding': [{'system': 'http://loinc.org', 'co...</td>\n      <td>Patient/54917</td>\n    </tr>\n    <tr>\n      <th>91</th>\n      <td>Patient/40892</td>\n      <td>None</td>\n      <td>male</td>\n      <td>1994-08-25</td>\n      <td>Observation/40896</td>\n      <td>[107, 60]</td>\n      <td>{'coding': [{'system': 'http://loinc.org', 'co...</td>\n      <td>Patient/40892</td>\n    </tr>\n    <tr>\n      <th>92</th>\n      <td>Patient/1164082</td>\n      <td>None</td>\n      <td>male</td>\n      <td>1974-12-25</td>\n      <td>Observation/1167058</td>\n      <td>[107, 60]</td>\n      <td>{'coding': [{'system': 'http://loinc.org', 'co...</td>\n      <td>Patient/1164082</td>\n    </tr>\n    <tr>\n      <th>93</th>\n      <td>Patient/ailovdisyb4</td>\n      <td>None</td>\n      <td>female</td>\n      <td>1976-01-01</td>\n      <td>Observation/ailovdisyb5</td>\n      <td>[107, 60]</td>\n      <td>{'coding': [{'system': 'http://loinc.org', 'co...</td>\n      <td>Patient/ailovdisyb4</td>\n    </tr>\n    <tr>\n      <th>94</th>\n      <td>Patient/40848</td>\n      <td>None</td>\n      <td>male</td>\n      <td>1994-08-25</td>\n      <td>Observation/40852</td>\n      <td>[107, 60]</td>\n      <td>{'coding': [{'system': 'http://loinc.org', 'co...</td>\n      <td>Patient/40848</td>\n    </tr>\n  </tbody>\n</table>\n<p>95 rows × 8 columns</p>\n</div>"
     },
     "metadata": {},
     "execution_count": 17
    }
   ],
   "source": [
    "df = query.main_dataframe\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Functionalities Overview"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "       patient:id patient:birthdate patient:gender patient:birthDate\n0   Patient/47762              None           male        1986-04-08\n1   Patient/40995              None           male        1974-05-08\n2   Patient/40937              None         female        1992-11-10\n3  Patient/251071              None         female        1979-08-18\n4  Patient/642992              None         female        1988-08-06",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>patient:id</th>\n      <th>patient:birthdate</th>\n      <th>patient:gender</th>\n      <th>patient:birthDate</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Patient/47762</td>\n      <td>None</td>\n      <td>male</td>\n      <td>1986-04-08</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Patient/40995</td>\n      <td>None</td>\n      <td>male</td>\n      <td>1974-05-08</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Patient/40937</td>\n      <td>None</td>\n      <td>female</td>\n      <td>1992-11-10</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Patient/251071</td>\n      <td>None</td>\n      <td>female</td>\n      <td>1979-08-18</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Patient/642992</td>\n      <td>None</td>\n      <td>female</td>\n      <td>1988-08-06</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "metadata": {}
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "      observation:id observation:component.valueQuantity.value  \\\n0  Observation/40798                                 [107, 60]   \n1  Observation/40799                                 [109, 62]   \n2  Observation/40800                                 [111, 64]   \n3  Observation/40842                                 [107, 60]   \n4  Observation/40847                                 [107, 60]   \n\n                                    observation:code  \\\n0  {'coding': [{'system': 'http://loinc.org', 'co...   \n1  {'coding': [{'system': 'http://loinc.org', 'co...   \n2  {'coding': [{'system': 'http://loinc.org', 'co...   \n3  {'coding': [{'system': 'http://loinc.org', 'co...   \n4  {'coding': [{'system': 'http://loinc.org', 'co...   \n\n  observation:subject.reference  \n0                 Patient/40772  \n1                 Patient/40772  \n2                 Patient/40772  \n3                 Patient/40838  \n4                 Patient/40843  ",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>observation:id</th>\n      <th>observation:component.valueQuantity.value</th>\n      <th>observation:code</th>\n      <th>observation:subject.reference</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Observation/40798</td>\n      <td>[107, 60]</td>\n      <td>{'coding': [{'system': 'http://loinc.org', 'co...</td>\n      <td>Patient/40772</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Observation/40799</td>\n      <td>[109, 62]</td>\n      <td>{'coding': [{'system': 'http://loinc.org', 'co...</td>\n      <td>Patient/40772</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Observation/40800</td>\n      <td>[111, 64]</td>\n      <td>{'coding': [{'system': 'http://loinc.org', 'co...</td>\n      <td>Patient/40772</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Observation/40842</td>\n      <td>[107, 60]</td>\n      <td>{'coding': [{'system': 'http://loinc.org', 'co...</td>\n      <td>Patient/40838</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Observation/40847</td>\n      <td>[107, 60]</td>\n      <td>{'coding': [{'system': 'http://loinc.org', 'co...</td>\n      <td>Patient/40843</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "metadata": {}
    }
   ],
   "source": [
    "for _,df in query.dataframes.items():\n",
    "    display(df.head(5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": "{'observation': {'count': False,\n                 'elements': {'additional_resource': ['id'],\n                              'additional_root': [],\n                              'join': ['subject.reference'],\n                              'select': ['component.valueQuantity.value'],\n                              'where': ['code']},\n                 'resource_type': 'Observation',\n                 'search_parameters': {'code': {'prefix': None,\n                                                'value': 'http://loinc.org|85354-9'}}},\n 'patient': {'count': False,\n             'elements': {'additional_resource': ['id'],\n                          'additional_root': [],\n                          'join': [],\n                          'select': ['birthdate', 'gender'],\n                          'where': ['birthDate']},\n             'resource_type': 'Patient',\n             'search_parameters': {'birthdate': {'prefix': 'gt',\n                                                 'value': '1970'}}}}\n"
    }
   ],
   "source": [
    "pp.pprint(query.graph_query.resources_alias_info)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 1080x1080 with 1 Axes>",
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\n"
     },
     "metadata": {}
    }
   ],
   "source": [
    "query.graph_query.draw_relations()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load example"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "dirname = 'tests/3'\n",
    "filename_config = 'config.json'\n",
    "with open(os.path.join(dirname, filename_config)) as json_file:\n",
    "    config = json.load(json_file)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Execute Query"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "query = Query(fhir_api_url, path_rules)\n",
    "query.from_config(config)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "query.execute()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": "      patient:id patient:gender patient:name.given patient:birthDate  \\\n0  Patient/lalo2         female          [[Darcy]]        1970-01-01   \n\n  patient:name.family     condition:id  \\\n0             [Smith]  Condition/lalo1   \n\n                        condition:verificationStatus  \\\n0  {'coding': [{'system': 'http://terminology.hl7...   \n\n  condition:asserter.reference condition:subject.reference  \\\n0           Practitioner/lalo3               Patient/lalo2   \n\n  condition:encounter.reference     encounter:id     practitioner:id  \\\n0               Encounter/lalo0  Encounter/lalo0  Practitioner/lalo3   \n\n                                   practitioner:name practitioner:name.family  \n0  [{'use': 'official', 'family': 'van den broek'...          [van den broek]  ",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>patient:id</th>\n      <th>patient:gender</th>\n      <th>patient:name.given</th>\n      <th>patient:birthDate</th>\n      <th>patient:name.family</th>\n      <th>condition:id</th>\n      <th>condition:verificationStatus</th>\n      <th>condition:asserter.reference</th>\n      <th>condition:subject.reference</th>\n      <th>condition:encounter.reference</th>\n      <th>encounter:id</th>\n      <th>practitioner:id</th>\n      <th>practitioner:name</th>\n      <th>practitioner:name.family</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Patient/lalo2</td>\n      <td>female</td>\n      <td>[[Darcy]]</td>\n      <td>1970-01-01</td>\n      <td>[Smith]</td>\n      <td>Condition/lalo1</td>\n      <td>{'coding': [{'system': 'http://terminology.hl7...</td>\n      <td>Practitioner/lalo3</td>\n      <td>Patient/lalo2</td>\n      <td>Encounter/lalo0</td>\n      <td>Encounter/lalo0</td>\n      <td>Practitioner/lalo3</td>\n      <td>[{'use': 'official', 'family': 'van den broek'...</td>\n      <td>[van den broek]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "metadata": {},
     "execution_count": 24
    }
   ],
   "source": [
    "df = query.main_dataframe\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Functionalities Overview"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "                                     patient:id patient:gender  \\\n0  Patient/ee8383ea-d062-46db-85d0-c4d7d82255d5         female   \n1                               Patient/1171644         female   \n2                           Patient/ailovdisyb2         female   \n3                                 Patient/lalo2         female   \n\n         patient:name.given patient:birthDate      patient:name.family  \n0  [[Gayle448], [Gayle448]]        1945-09-02  [Raynor401, Smitham825]  \n1                 [[Darcy]]        1970-01-01                  [Smith]  \n2                 [[Darcy]]        1970-01-01                  [Smith]  \n3                 [[Darcy]]        1970-01-01                  [Smith]  ",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>patient:id</th>\n      <th>patient:gender</th>\n      <th>patient:name.given</th>\n      <th>patient:birthDate</th>\n      <th>patient:name.family</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Patient/ee8383ea-d062-46db-85d0-c4d7d82255d5</td>\n      <td>female</td>\n      <td>[[Gayle448], [Gayle448]]</td>\n      <td>1945-09-02</td>\n      <td>[Raynor401, Smitham825]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Patient/1171644</td>\n      <td>female</td>\n      <td>[[Darcy]]</td>\n      <td>1970-01-01</td>\n      <td>[Smith]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Patient/ailovdisyb2</td>\n      <td>female</td>\n      <td>[[Darcy]]</td>\n      <td>1970-01-01</td>\n      <td>[Smith]</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Patient/lalo2</td>\n      <td>female</td>\n      <td>[[Darcy]]</td>\n      <td>1970-01-01</td>\n      <td>[Smith]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "metadata": {}
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "            practitioner:id  \\\n0      Practitioner/1171647   \n1  Practitioner/ailovdisyb3   \n2        Practitioner/lalo3   \n\n                                   practitioner:name practitioner:name.family  \n0  [{'use': 'official', 'family': 'van den broek'...          [van den broek]  \n1  [{'use': 'official', 'family': 'van den broek'...          [van den broek]  \n2  [{'use': 'official', 'family': 'van den broek'...          [van den broek]  ",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>practitioner:id</th>\n      <th>practitioner:name</th>\n      <th>practitioner:name.family</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Practitioner/1171647</td>\n      <td>[{'use': 'official', 'family': 'van den broek'...</td>\n      <td>[van den broek]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Practitioner/ailovdisyb3</td>\n      <td>[{'use': 'official', 'family': 'van den broek'...</td>\n      <td>[van den broek]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Practitioner/lalo3</td>\n      <td>[{'use': 'official', 'family': 'van den broek'...</td>\n      <td>[van den broek]</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "metadata": {}
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "            condition:id                       condition:verificationStatus  \\\n0        Condition/lalo1  {'coding': [{'system': 'http://terminology.hl7...   \n1      Condition/1171652  {'coding': [{'system': 'http://terminology.hl7...   \n2      Condition/1171648  {'coding': [{'system': 'http://terminology.hl7...   \n3          Condition/abc  {'coding': [{'system': 'http://terminology.hl7...   \n4  Condition/ailovdisyb1  {'coding': [{'system': 'http://terminology.hl7...   \n\n  condition:asserter.reference condition:subject.reference  \\\n0           Practitioner/lalo3               Patient/lalo2   \n1         Practitioner/1171647             Patient/1171644   \n2         Practitioner/1171647             Patient/1171644   \n3     Practitioner/ailovdisyb3         Patient/ailovdisyb2   \n4     Practitioner/ailovdisyb3         Patient/ailovdisyb2   \n\n  condition:encounter.reference  \n0               Encounter/lalo0  \n1                          None  \n2                          None  \n3                          None  \n4                          None  ",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>condition:id</th>\n      <th>condition:verificationStatus</th>\n      <th>condition:asserter.reference</th>\n      <th>condition:subject.reference</th>\n      <th>condition:encounter.reference</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Condition/lalo1</td>\n      <td>{'coding': [{'system': 'http://terminology.hl7...</td>\n      <td>Practitioner/lalo3</td>\n      <td>Patient/lalo2</td>\n      <td>Encounter/lalo0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Condition/1171652</td>\n      <td>{'coding': [{'system': 'http://terminology.hl7...</td>\n      <td>Practitioner/1171647</td>\n      <td>Patient/1171644</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Condition/1171648</td>\n      <td>{'coding': [{'system': 'http://terminology.hl7...</td>\n      <td>Practitioner/1171647</td>\n      <td>Patient/1171644</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Condition/abc</td>\n      <td>{'coding': [{'system': 'http://terminology.hl7...</td>\n      <td>Practitioner/ailovdisyb3</td>\n      <td>Patient/ailovdisyb2</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Condition/ailovdisyb1</td>\n      <td>{'coding': [{'system': 'http://terminology.hl7...</td>\n      <td>Practitioner/ailovdisyb3</td>\n      <td>Patient/ailovdisyb2</td>\n      <td>None</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "metadata": {}
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "      encounter:id\n0   Encounter/1046\n1  Encounter/25418\n2  Encounter/30036\n3  Encounter/30144\n4   Encounter/1022",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>encounter:id</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Encounter/1046</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Encounter/25418</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Encounter/30036</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Encounter/30144</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Encounter/1022</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "metadata": {}
    }
   ],
   "source": [
    "for _,df in query.dataframes.items():\n",
    "    display(df.head(5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": "{'condition': {'count': False,\n               'elements': {'additional_resource': ['id'],\n                            'additional_root': [],\n                            'join': ['asserter.reference',\n                                     'subject.reference',\n                                     'encounter.reference'],\n                            'select': ['verificationStatus'],\n                            'where': ['verificationStatus']},\n               'resource_type': 'Condition',\n               'search_parameters': {'verification-status': {'prefix': None,\n                                                             'value': 'confirmed'}}},\n 'encounter': {'count': False,\n               'elements': {'additional_resource': ['id'],\n                            'additional_root': [],\n                            'join': [],\n                            'select': [],\n                            'where': []},\n               'resource_type': 'Encounter',\n               'search_parameters': {}},\n 'patient': {'count': False,\n             'elements': {'additional_resource': ['id'],\n                          'additional_root': [],\n                          'join': [],\n                          'select': ['gender', 'name.given', 'birthDate'],\n                          'where': ['name.family']},\n             'resource_type': 'Patient',\n             'search_parameters': {'family': {'prefix': None,\n                                              'value': 'Smith'}}},\n 'practitioner': {'count': False,\n                  'elements': {'additional_resource': ['id'],\n                               'additional_root': [],\n                               'join': [],\n                               'select': ['name'],\n                               'where': ['name.family']},\n                  'resource_type': 'Practitioner',\n                  'search_parameters': {'family': {'prefix': None,\n                                                   'value': 'van den broek'}}}}\n"
    }
   ],
   "source": [
    "pp.pprint(query.graph_query.resources_alias_info)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
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\n"
     },
     "metadata": {}
    }
   ],
   "source": [
    "query.graph_query.draw_relations()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.2-final"
  },
  "orig_nbformat": 2,
  "kernelspec": {
   "name": "python38264bitfhir2datasetconda324d6ab2aa744b6e8cb9c93afe0fcc00",
   "display_name": "Python 3.8.2 64-bit ('fhir2dataset': conda)"
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}