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import streamlit as st
#from fhir.resources.observation import Observation
from datetime import datetime
import requests
import json
# FHIR server endpoint
#base_url = "https://<fhir_server_endpoint>/fhir/"
# Function to create an Observation resource
#def create_observation_resource(activity, category, calories, duration, distance, heart_rate):
#observation = Observation()
#observation.status = "final"
#observation.category = [{"coding": [{"system": "http://terminology.hl7.org/CodeSystem/observation-category",
#"code": "activity"}]}]
#observation.code = {"coding": [{"system": "http://loinc.org", "code": "55409-7", "display": "Exercise tracking panel"}]}
#observation.effectiveDateTime = datetime.now().isoformat()
#observation.component = []
#if activity:
#observation.component.append({"code": {"coding": [{"system": "http://loinc.org", "code": "73985-4", "display": "Exercise activity"}]}, "valueString": activity})
#if category:
#observation.component.append({"code": {"coding": [{"system": "http://loinc.org", "code": "73986-2", "display": "Exercise aerobic category"}]}, "valueString": category})
#if calories:
#observation.component.append({"code": {"coding": [{"system": "http://loinc.org", "code": "55421-2", "display": "Calories burned Machine estimate"}]}, "valueQuantity": {"value": calories, "unit": "kcal"}})
#if duration:
#observation.component.append({"code": {"coding": [{"system": "http://loinc.org", "code": "55411-3", "display": "Exercise duration"}]}, "valueQuantity": {"value": duration, "unit": "min"}})
#if distance:
#observation.component.append({"code": {"coding": [{"system": "http://loinc.org", "code": "55412-1", "display": "Exercise distance unspecified time"}]}, "valueQuantity": {"value": distance, "unit": "[mi_us];km"}})
#if heart_rate:
#observation.component.append({"code": {"coding": [{"system": "http://loinc.org", "code": "55422-0", "display": "Heart rate Encounter maximum"}]}, "valueQuantity": {"value": heart_rate, "unit": "{beats}/min"}})
#return observation
# Function to create an Observation resource on the FHIR server
#def create_observation(observation):
# headers = {"Content-Type": "application/fhir+json"}
# response = requests.post(base_url + "Observation", data=json.dumps(observation.as_json()), headers=headers)
# if response.status_code == 201:
# st.success("Observation created successfully!")
# else:
# st.error("Error creating Observation.")
# Streamlit user interface
def app():
st.title("SMART FHIR Assessment - Exercise")
activity = st.text_input("Exercise activity")
category = st.selectbox("Exercise aerobic category", ["", "Aerobic", "Anaerobic"])
calories = st.number_input("Calories burned (Machine estimate)", min_value=0, step=1)
duration = st.number_input("Exercise duration (minutes)", min_value=0, step=1)
distance = st.number_input("Exercise distance (miles) time", min_value=0, step=1)
heart_rate = st.number_input("Heart rate Encounter maximum", min_value=0, step=1)
#if st.button("Record Exercise"):
# observation = create_observation_resource(activity, category, calories, duration, distance, heart_rate)
# create_observation(observation)
app() |