import fetch from 'node-fetch'
import FormData from 'form-data'
import fs from 'fs'
import path from 'path'


const API_KEY = 'your api key'
const USER_ID = 'user_id from your system'
const VOICE_SAMPLE = path.resolve('Sub_PHQ0_GAD0_I.wav')

// Create authentication headers.
const headers = {'X-API-Key': API_KEY}

// Initiate session between the patient and a doctor.
const initiateFormData = new FormData()
initiateFormData.append('user_id', USER_ID)
initiateFormData.append('is_initiated', 'true') // Send boolean as string in form data
const initiateResp = await fetch('https://api.kintsugihealth.com/v1/initiate', {
  method: 'POST',
  headers: { ...headers, ...initiateFormData.getHeaders() },
  body: initiateFormData,
})

if (!initiateResp.ok) {
  throw new Error(`HTTP error! status: ${initiateResp.status}`)
}


// Fetch session_id, it will be used as an identifier to make a prediction and provide feedback.
let initiateData = await initiateResp.json()
const sessionID = initiateData.session_id


// Severity: Make a prediction for the specified patient's voice sample.
const predictionFormData = new FormData()
predictionFormData.append('file', fs.createReadStream(VOICE_SAMPLE))
predictionFormData.append('session_id', sessionID)
let predictionResp = await fetch('https://api.kintsugihealth.com/v1/predict/server/depression/severity', {
  method: 'POST',
  headers: { ...headers, ...predictionFormData.getHeaders() },
  body: predictionFormData
})

if (!predictionResp.ok) {
  throw new Error(`HTTP error! status: ${predictionResp.status}`)
}


// *PHQ-2: Provide a doctor's feedback on the quality of the prediction.
let feedbackResp = await fetch('https://api.kintsugihealth.com/v1/feedback/server/phq/2', {
  method: 'PATCH',
  headers: {...headers, 'Content-Type': 'application/json'},
  body: JSON.stringify({'session_id': sessionID, 'actual_score': [1, 2]})
})

if (!feedbackResp.ok) {
  throw new Error(`HTTP error! status: ${feedbackResp.status}`)
}


// *PHQ-9: Provide a doctor's feedback on the quality of the prediction.
feedbackResp = await fetch('https://api.kintsugihealth.com/v1/feedback/server/phq/9', {
  method: 'PATCH',
  headers: {...headers, 'Content-Type': 'application/json'},
  body: JSON.stringify({'session_id': sessionID, 'actual_score': [1, 2, 3, 1, 2, 3, 1, 2, 3]})
})

if (!feedbackResp.ok) {
  throw new Error(`HTTP error! status: ${feedbackResp.status}`)
}

console.log('The prediction was completed successfully!')
        

import requests

API_KEY = '<your api key>'
USER_ID = '<user_id from your system>'
VOICE_SAMPLE = "Sub_PHQ0_GAD0_I.wav"

# Create an HTTP Client. Provide authentication credentials.
session = requests.Session()
session.headers.update({"X-API-Key": API_KEY})

# Initiate session between the patient and a doctor.
initiate_resp = session.post(
    url="https://api.kintsugihealth.com/v1/initiate",
    data={"user_id": USER_ID, "is_initiated": True},
)
initiate_resp.raise_for_status()

# Fetch session_id, it will be used as an identifier to make a prediction and provide feedback.
session_id = initiate_resp.json()["session_id"]

# Make a prediction for the specified patient's voice sample.
with open(VOICE_SAMPLE, 'rb') as patient_voice_sample:
    prediction_resp = session.post(
        url="https://api.kintsugihealth.com/v1/predict/server/depression/binary",
        files={'file': patient_voice_sample},
        data={"session_id": session_id},
    )
    prediction_resp.raise_for_status()

# *PHQ-2: Provide a doctor's feedback on the quality of the prediction.
feedback_resp = session.patch(
    url="https://api.kintsugihealth.com/v1/feedback/server/phq/2",
    json={"session_id": session_id, "actual_score": [1, 2]},
)
feedback_resp.raise_for_status()

# *PHQ-9: Provide a doctor's feedback on the quality of the prediction.
feedback_resp = session.patch(
    url="https://api.kintsugihealth.com/v1/feedback/server/phq/9",
    json={"session_id": session_id, "actual_score": [1, 2, 3, 1, 2, 3, 1, 2, 3]},
)
feedback_resp.raise_for_status()

# *Binary: Provide a doctor's feedback on the quality of the prediction.
feedback_resp = session.patch(
    url="https://api.kintsugihealth.com/v1/feedback/server/depression/binary",
    data={"session_id": session_id, "actual_score": "true"},
)
feedback_resp.raise_for_status()

print("The prediction was completed successfully!")

import requests

API_KEY = '<your api key>'
USER_ID = '<user_id from your system>'
VOICE_SAMPLE = "Sub_PHQ0_GAD0_I.wav"

# Create an HTTP Client. Provide authentication credentials.
session = requests.Session()
session.headers.update({"X-API-Key": API_KEY})

# Initiate session between the patient and a doctor.
initiate_resp = session.post(
    url="https://api.kintsugihealth.com/v1/initiate",
    data={"user_id": USER_ID, "is_initiated": True},
)
initiate_resp.raise_for_status()

# Fetch session_id, it will be used as an identifier to make a prediction and provide feedback.
session_id = initiate_resp.json()["session_id"]

# Make a prediction for the specified patient's voice sample.
with open(VOICE_SAMPLE, 'rb') as patient_voice_sample:
    prediction_resp = session.post(
        url="https://api.kintsugihealth.com/v1/predict/server/depression/severity",
        files={'file': patient_voice_sample},
        data={"session_id": session_id},
    )
    prediction_resp.raise_for_status()

# *PHQ-2: Provide a doctor's feedback on the quality of the prediction.
feedback_resp = session.patch(
    url="https://api.kintsugihealth.com/v1/feedback/server/phq/2",
    json={"session_id": session_id, "actual_score": [1, 2]},
)
feedback_resp.raise_for_status()

# *PHQ-9: Provide a doctor's feedback on the quality of the prediction.
feedback_resp = session.patch(
    url="https://api.kintsugihealth.com/v1/feedback/server/phq/9",
    json={"session_id": session_id, "actual_score": [1, 2, 3, 1, 2, 3, 1, 2, 3]},
)
feedback_resp.raise_for_status()

print("The prediction was completed successfully!")