DHBW/TelegramAktienBot
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Reformatting

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Administrator 2022-05-12 09:09:05 +02:00
parent 86264d38f5
commit 2a94c4c246
2 changed files with 56 additions and 56 deletions
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67
telegram_bot/bot_updates.py
View File

@ -10,7 +10,7 @@ import os
import sys
import time
from apscheduler.schedulers.background import BackgroundScheduler # scheduler for cron
from apscheduler.schedulers.background import BackgroundScheduler # scheduler for cron
from dotenv import load_dotenv
import helper_functions as hf
@ -63,30 +63,30 @@ def update_crontab(p_my_handler):
global user_crontab
global user_ids
all_users = p_my_handler.get_all_users() # get all users so crontabs can update for everybody
all_users = p_my_handler.get_all_users() # get all users so crontabs can update for everybody
user_ids = []
user_crontab = []
for element in all_users:
if element["cron"] != '' and element["telegram_user_id"] != '': # check if both values are existing so I have consistent data
if element["cron"] != '' and element["telegram_user_id"] != '': # check if both values are existing so I have consistent data
try:
user_ids.append(int(element["telegram_user_id"]))
try:
user_crontab.append(str(element["cron"]))
except:
user_ids.pop() # if something goes wrong with cron I have to delete matching user id
except: continue
except:
user_ids.pop() # if something goes wrong with cron I have to delete matching user id
except:
continue
print(user_ids)
update_based_on_crontab(user_ids, user_crontab, p_my_handler)
update_crontab(p_my_handler) # restart the update after time sleep
update_crontab(p_my_handler) # restart the update after time sleep
def update_based_on_crontab(p_user_ids, p_user_crontab, p_my_handler):
""" Check all the crontab codes and add jobs to start in time
:type p_user_ids: array
@ -102,19 +102,20 @@ def update_based_on_crontab(p_user_ids, p_user_crontab, p_my_handler):
:rtype: none
"""
my_scheduler = BackgroundScheduler() # schedule sends based on cron
my_scheduler = BackgroundScheduler() # schedule sends based on cron
for i in range(len(p_user_ids)):
cron_split = p_user_crontab[i].split(" ") # split it up to use in scheduler
cron_split = p_user_crontab[i].split(" ") # split it up to use in scheduler
print(cron_split[4], cron_split[1], cron_split[0], cron_split[3], cron_split[2])
my_scheduler.add_job(update_for_user, 'cron', day_of_week=cron_split[4], hour=cron_split[1], minute=cron_split[0], month=cron_split[3], day=cron_split[2], args=(p_user_ids[i], p_my_handler))
my_scheduler.start()
time.sleep( 600 ) # scheduler runs in background and I wait 10mins
my_scheduler.shutdown() # after this the new crontabs will be loaded
time.sleep(600) # scheduler runs in background and I wait 10mins
my_scheduler.shutdown() # after this the new crontabs will be loaded
def update_for_user(p_user_id, p_my_handler):
""" Pull shares and send updates for specific user id
:type p_user_id: integer
@ -129,9 +130,9 @@ def update_for_user(p_user_id, p_my_handler):
"""
share_symbols = []
share_amounts = []
my_portfolio = p_my_handler.get_user_portfolio(p_user_id) # get all existing shares for user
my_portfolio = p_my_handler.get_user_portfolio(p_user_id) # get all existing shares for user
for element in my_portfolio:
if element["count"] != '' and element["isin"] != '':
print(element["count"], element["isin"])
@ -139,11 +140,11 @@ def update_for_user(p_user_id, p_my_handler):
share_amounts.append(element["count"])
my_user = p_my_handler.get_user(p_user_id)
send_to_user("Hello %s this is your share update for today:"%str(my_user["username"]), pUser_id=p_user_id)
shares = p_my_handler.get_user_shares(p_user_id) # all interest shares
if len(share_symbols) != 0: # iterate through all shares
send_to_user("Hello %s this is your share update for today:" % str(my_user["username"]), pUser_id=p_user_id)
shares = p_my_handler.get_user_shares(p_user_id) # all interest shares
if len(share_symbols) != 0: # iterate through all shares
for i in range(len(share_symbols)):
my_price = share_fetcher.get_share_price_no_currency(share_symbols[i])
my_update_message = f'{share_fetcher.get_share_information_markdown(share_symbols[i])}\ncount: {hf.make_markdown_proof(share_amounts[i])}\nTotal: {hf.make_markdown_proof(round(float(my_price) * float(share_amounts[i]), 2))} EUR'
@ -164,10 +165,10 @@ def update_for_user(p_user_id, p_my_handler):
news = news_fetcher.get_top_news_by_keyword(keyword)["articles"]
keyword = hf.make_markdown_proof(keyword)
if not news: # if empty news array
if not news: # if empty news array
send_to_user(f"No news found for keyword _{keyword}_\.", pUser_id=p_user_id, md_mode=True)
elif news == None: # if news is none
elif news == None: # if news is none
send_to_user(f"Server error for keyword _{keyword}_\.", pUser_id=p_user_id, md_mode=True)
else:
news_formatted = news_fetcher.format_article(news[0]) # format for message, only use the most popular article

45
telegram_bot/shares/share_fetcher.py
View File

@ -23,23 +23,23 @@ def get_share_price(str_search_for):
try:
search_result = investpy.search_quotes(text=str_search_for, products=['stocks'], n_results=1, countries=['germany'])
currency = str(search_result.retrieve_currency()) # retrieve currency from data
currency = str(search_result.retrieve_currency()) # retrieve currency from data
# should always be Euro because of countries=['germany']
recent_data = pandas.DataFrame(search_result.retrieve_recent_data()) # stock prices of last few days
stock_price = recent_data.iloc[-1]["Close"] # retrieve latest stock price
recent_data = pandas.DataFrame(search_result.retrieve_recent_data()) # stock prices of last few days
stock_price = recent_data.iloc[-1]["Close"] # retrieve latest stock price
stock_price = round(float(stock_price), 2)
str_return =str(stock_price) + " " + str(currency) # return + currency
str_return = str(stock_price) + " " + str(currency) # return + currency
return str_return
except RuntimeError: # if no shares are found for germany (e.g. isin: US.....)
except RuntimeError: # if no shares are found for germany (e.g. isin: US.....)
try:
my_Converter = CurrencyConverter() # need a currency converter
my_Converter = CurrencyConverter() # need a currency converter
search_result = investpy.search_quotes(text=str_search_for, products=['stocks'], n_results=1)
currency = str(search_result.retrieve_currency())
@ -47,10 +47,10 @@ def get_share_price(str_search_for):
recent_data = pandas.DataFrame(search_result.retrieve_recent_data())
stock_price = recent_data.iloc[-1]["Close"]
#convert stock price from currency to EUR
stock_price = my_Converter.convert(float(stock_price), str(currency), 'EUR')
# convert stock price from currency to EUR
stock_price = my_Converter.convert(float(stock_price), str(currency), 'EUR')
stock_price = round(float(stock_price), 2)
str_return = str(stock_price) + " EUR"
@ -109,17 +109,16 @@ def get_share_information(str_search_for):
def get_share_information_markdown(str_search_for):
try:
search_result = investpy.search_quotes(text=str_search_for, products=['stocks'],
countries=['germany'], n_results=1)
countries=['germany'], n_results=1)
except RuntimeError as e:
return hf.make_markdown_proof(f"no shares found for \"{str_search_for}\"") # if no shares are found, make error message markdown proof and return
return hf.make_markdown_proof(f"no shares found for \"{str_search_for}\"") # if no shares are found, make error message markdown proof and return
except ConnectionError as e:
return hf.make_markdown_proof(f"connection not possible. Try again later.") # if no connection, make error message markdown proof and return
return hf.make_markdown_proof(f"connection not possible. Try again later.") # if no connection, make error message markdown proof and return
str_return = f'*{hf.make_markdown_proof(search_result.name)}*\n_{hf.make_markdown_proof(search_result.symbol)}_\nworth: {hf.make_markdown_proof(get_share_price(str_search_for))}'
return str_return