import requests
import json

# Call the eval endpoint

url = "https://api.berri.ai/eval"

data = {"instance_id": "44b52369-7852-487f-ba16-476f0ebeb372", "user_email": "krrish@berri.ai"}

# Always pass in a .csv. Ensure all your questions are under a column called 'Questions'
files = {'data_source': open('test_set.csv', 'rb')}

response = requests.post(url, files=files, data=data)

print(response.text)

api_endpoint = response.json()

const fs = require("fs");
const axios = require("axios");

const instance_id = "44b52369-7852-487f-ba16-476f0ebeb372";
const url = "https://api.berri.ai/eval";

// Read contents of CSV file
const csvData = fs.readFileSync("./test_set.csv", "utf-8");

// Create a new Blob object from the CSV data
const csvBlob = new Blob([csvData], { type: "text/csv" });

const data = new FormData();
data.append("instance_id", instance_id);
data.append("user_email", "krrish@berri.ai");
data.append("data_source", csvBlob);

const headers = {
  "Content-Type": "multipart/form-data",
};

console.log("data: ", data);
axios
  .post(url, data, { headers })
  .then((response) => {
    console.log("Upload successful!  Server responded with:", response.data);
  })
  .catch((error) => {
    console.error("Upload failed:", error.stack);
    console.trace();
  });