app.py

import streamlit as st # for overall GUI
from streamlit_calendar import calendar # to show calendar
from dateutil.relativedelta import relativedelta # for addition to dates
import datetime
import os # for extracting environment variable
from urllib.request import urlopen # for getting data from FMP API
import json # for parsing data from FMP API

# For parsing data from API from JSON to a Python Dictionary
def get_jsonparsed_data(url):
    response = urlopen(url)
    data = response.read().decode("utf-8")
    return json.loads(data)

# Get FMP API stored as environment variable
apiKey = os.environ['FMP_API_KEY']

# Financialmodelingprep (FMP) api base url
base_url = "https://financialmodelingprep.com/api/v3/"


# Get today's date and add 3 months to it
# Convert both today's date and the 3 months later date to strings (for input into API endpoint URL later)
# This is the date range within which we want to get our earnings dates 

today = datetime.datetime.today()
today_string = today.strftime('%Y-%m-%d')
future_string = (today + relativedelta(months=3)).strftime('%Y-%m-%d')

# This is the full API endpoint to get the earnings dates from today to 6 months after
url = f"{base_url}earning_calendar?from={today_string}&to={future_string}&apikey={apiKey}"

# This decorator ensures that the call to the FMP API will only run once at the start of this app
# The data returned will be cached after the function runs
# Without this decorator, the API will be called each time you click something in the streamlit app
@st.cache_resource
def get_earnings_dates(url):
    events = get_jsonparsed_data(url)
    return events
    
events = get_earnings_dates(url)


with st.sidebar:
    st.title("미국 주식 어닝 달력")
    st.header("알고싶은 미국주식 티커를 입력해주세요~")
    #tickers = ['GOOG', 'META', 'TSLA', 'NET', 'V', 'MA', 'BA', 'C']
    
    # For users to enter tickers of interest
    tickers_string = st.text_area('달력에 포함될 티커를 ,로 구분해서 입력해주세요~ \
								예 "NVDA, META, AMZN," 입력후 컨트롤 + 엔터 또는 "적용" 버튼 클릭 ', 
                                value = 'TSM,NVDA,AMD,INTC,MU,AAPL,GOOGL,FSLR,ARM,QCOM,MSFT,AMAT,LRCX,SNPS,CDNS,TSLA,ETN,FLNC,ANET,NXT,GEV,CRM,').upper()
    st.button("적용")
    st.write("기본세팅: ")
    st.write("TSMC, Nvidia, AMD, Intel, Micron, Apple, 알파벳,FirstSolar, ARM, Qualcomm, MS, Applied mat, Lam research, Synopsys, Cadence design, Tesla, Eaton,Fluence energy, Arista net, Nextracker, GE베르노바, SalesForce") 
    st.write("참고: Earnings 날짜는 오늘부터 3개월 이내로 제한됨")
    st.write('')
    st.write("달력은 미국시간 기준입니다.")
    st.write("한국 시간 기준은 아래 내용 참고.")
    st.write("[장전: 한국시간 당일 저녁]")
    st.write("[장후: 한국시간 익일 아침]")
    st.write('')


    
    #st.markdown("## [Explanatory Article](https://medium.datadriveninvestor.com/build-a-stock-earnings-calendar-of-your-favorite-stocks-in-python-36bba1950a61)")
    st.write('')

    # Where the data came from
    #st.markdown("## [Financial Modeling Prep API](https://intelligence.financialmodelingprep.com/pricing-plans?couponCode=damianboh&utm_campaign=damianboh&utm_medium=blog&utm_source=medium)\
    #\n\nEarnings Dates for all tickers are obtained from the FinancialModelingPrep API, feel free to sign up\
    #[here](https://intelligence.financialmodelingprep.com/pricing-plans?couponCode=damianboh&utm_campaign=damianboh&utm_medium=blog&utm_source=medium)\
    #if you wish.")
   
# Parse user input into a list
tickers_string = tickers_string.replace(' ', '')
tickers = tickers_string.split(',')

# Converts the parsed json from FMP API into a list of events to be passed into streamlit_calendar
calendar_events = []
for event in events:
    if event['symbol'] in tickers:
        calendar_event = {}
        calendar_event['title'] = event['symbol']
        if event['time'] == 'bmo': # before market opens, add sunrise symbol
            calendar_event['title'] = '장전' + calendar_event['title']
        elif event['time'] == 'amc': # after market closes, add sunset symbol
            calendar_event['title'] = '장후'   + calendar_event['title']     
        calendar_event['start'] = event['date']
        calendar_events.append(calendar_event)

st.header("미국 주식 어닝 달력")


calendar_options = {
        "editable": "true",
        "navLinks": "true",
        "headerToolbar": {
            "left": "today prev,next",
            "center": "title",
            "right": "dayGridDay,dayGridWeek,dayGridMonth,listMonth",
        },
        #"initialDate": today.strftime('%Y-%m-%d'),
        "initialView": "dayGridMonth"
    }
    

custom_css="""
    .fc-event-past {
        opacity: 0.8;
    }
    .fc-event-time {
        font-style: italic;
    }
    .fc-event-title {
        font-weight: 700;
    }
    .fc-toolbar-title {
        font-size: 2rem;
    }
"""


calendar = calendar(events=calendar_events, options=calendar_options, custom_css=custom_css)