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app.py
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app.py
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from math import isnan
from flask import Flask, json, render_template, request, redirect, session, jsonify
from flask_session import Session
from numpy.core.numeric import NaN
from werkzeug.wrappers import AuthorizationMixin
import yahoo_fin.stock_info as si
from datetime import datetime, timedelta
# Proceso para ejecutar la web app
# Lo mejor es que el fichero se llame app.py
# Indicarle a flask en el terminal de VSCODE que el fichero app.py es una app de flask. En este caso --> $env:FLASK_APP = "app"
# Abrir la ventana de comandos de MS-DOS, ir a la ubicación del fichero py en cuestión (D:\LocalUsers\ERojo\PROTOTIPOS\Python\froshims0) y ejecutar --> flask run
# turn this file into a web app
app = Flask(__name__)
tickers = si.tickers_sp500(False)
@app.route("/")
def index():
return render_template("index.html")
@app.route("/search")
def search():
q = request.args.get('q', default="")
# print(q)
ticker_list = []
# for ticker in tickers:
# # Cuidado porque startswith es case sensitive: z no es Z
# if ticker.upper().startswith(q.upper()):
# ticker_list.append(ticker)
# list comprehension. Esta línea equivale a las 4 anteriores
ticker_list = [ticker for ticker in tickers if ticker.upper().startswith(q.upper())]
return jsonify(ticker_list)
@app.route("/getStockData")
def getStockData():
t = request.args.get('t', default="")
return render_template("ticker.html", ticker=t)
@app.route("/getLivePrice")
def getLivePrice():
t = request.args.get('t', default="")
return str(si.get_live_price(t))
@app.route("/get_market_status")
def get_market_status():
return str(si.get_market_status())
@app.route("/getShortName")
def getShortName():
t = request.args.get('t', default="")
return si.get_quote_data(t)["shortName"]
@app.route("/getDividends")
def getDividends():
t = request.args.get('t', default="")
try:
dividends = si.get_dividends(t)
return render_template("dividends.html", ticker=t, dividends=dividends)
except:
return render_template("error.html")
@app.route("/getQuoteTable")
def getQuoteTable():
t = request.args.get('t', default="")
my_dict = si.get_quote_table(t)
for x in my_dict:
# print(my_dict[x])
# print(type(my_dict[x]))
if type(my_dict[x]) is float and isnan(my_dict[x]):
my_dict[x] = ""
# print("Encontrado NaN")
# Hace falta hacer un replace del valor NaN por el texto "NaN", ya que de lo contrario el JSON se queda con un formato incorrecto
return json.dumps(my_dict)
@app.route("/dayMostActive")
def dayMostActive():
try:
most_active = si.get_day_most_active()
print("OK")
return render_template("daymostactive.html", data=most_active)
except:
print("Error")
return render_template("error.html")
@app.route("/getEarningsForDate")
def getEarningsForDate():
return render_template("earningsForDate.html")
@app.route("/searchEarningsForDate")
def searchEarningsForDate():
earnings = []
from_date = request.args.get("from", default="")
to_date = request.args.get("to", default="")
# Check strings
if from_date == "" or to_date == "":
# print("Nos vamos")
# print(earnings)
return ""
from_date = datetime.strptime(from_date, "%Y-%m-%d")
to_date = datetime.strptime(to_date, "%Y-%m-%d")
# Check dates
if from_date > to_date:
# print("Nos vamos")
# print(earnings)
return ""
# print(from_date)
# print(to_date)
# Check number of days
numdays = abs((to_date - from_date).days) + 1
if numdays > 100:
# print("Nos vamos")
# print(earnings)
return ""
date_list = [from_date + timedelta(days=x) for x in range(numdays)]
for fecha in date_list:
# print(fecha)
earnings.append(si.get_earnings_for_date(fecha))
# print(earnings)
# print(type(earnings))
return jsonify(earnings)
def isNaN(num):
return num != num