dataFetcher.py

import pandas as pd
import json
from flask import Flask, request
from flask_cors import CORS

app = Flask(__name__)
cors = CORS(app)

df = pd.read_csv("resources/moonquakeData.csv")


@app.route("/getInfo", methods=["POST"])
def getInfo():
  data = request.get_json()
  data = df.loc[(df['Year'] == int(data["year"]))
                & (df['Month'] == data["month"]) &
                (df['Day'] == int(data["day"]))].to_dict()
  for i in data:
    data[i] = list(data[i].values())[0]

  if data["Magnitude"] == -1:
    data["Magnitude"] = None

  return json.dumps(data)


@app.route("/getYear", methods=["POST"])
def getYear():
  # Get input from the HTML form
  return json.dumps({"years": list(set(df["Year"]))})


@app.route("/getMonthFromYear", methods=["POST"])
def getMonthFromYear():
  data = request.get_json()
  return json.dumps(
      {"months": list(set(df.loc[df['Year'] == int(data["year"]), 'Month']))})


@app.route("/getDayFromMonthYear", methods=["POST"])
def getDayFromMonthYear():
  data = request.get_json()
  return json.dumps({
      "days":
      list(
          set(df.loc[(df['Year'] == int(data["year"])) &
                     (df['Month'] == data["month"]), 'Day']))
  })


if __name__ == "__main__":
  app.run(host='0.0.0.0', port=5000, debug=True)