Exemplo n.º 1
0
def process_rows(symbols):
    client = NotionClient(token_v2=NOTION_V2_TOKEN)
    page = client.get_block(NOTION_PAGE_LINK)
    database = page.children[DATABASE_POSITION].collection

    updating_indicator = page.children[UPDATING_POSITION]

    success = True
    failed_to_load = []
    for i, symbol in enumerate(symbols):
        stock = yf.Ticker(symbol)

        updating_indicator.title = "🟡  _Stocks are currently updating_"
        try:
            info = stock.info
            hist = stock.history(period="1y")

            name = info['shortName']
            descr = info['longBusinessSummary']
            price = info['open']
            category = info['category']
            min52Week = min(hist['Close'])
            max52Week = max(hist['Close'])
            latestPrice = hist['Close'].values.tolist()[-1]
            ratio = (latestPrice - min52Week) / (max52Week - min52Week)
            sector = info['sector']
            dividend_rate = info[
                'trailingAnnualDividendYield'] if 'trailingAnnualDividendYield' in info else 0.0
            pe_ratio = info['forwardPE'] if 'forwardPE' in info else -1
            market_cap = info['marketCap'] if 'marketCap' in info else 0
            price_to_sales_ratio = info[
                'priceToSalesTrailing12Months'] if 'priceToSalesTrailing12Months' in info else 0.0
            eps = info['forwardEps'] if 'forwardEps' in info else 0.0

            row = database.add_row(
                symbol=symbol,
                name=name,
                price=price,
                year_low=min52Week,
                year_high=max52Week,
                ratio=round(ratio or -1, 2),
                dividend=dividend_rate
                and round(dividend_rate * 1000, 2) / 1000,
                sector=sector or "",
                description=descr[0:150] + "...",
                pe=round(pe_ratio or -1, 2),
                market_cap='$' + str(round(market_cap / 1000000000 or -1, 1)) +
                ' B',
                price_to_sales=round(price_to_sales_ratio or -1, 2),
                eps=eps)
        except:
            success = False
            failed_to_load.append(symbol)

    if success:
        updating_indicator.title = "✅  Stocks have been updated as of `%s`" % get_datetime(
        )
    else:
        updating_indicator.title = "🚨  Error loading %s" % ', '.join(
            failed_to_load)
Exemplo n.º 2
0
def main():
    client = NotionClient(token_v2=NOTION_V2_TOKEN)
    page = client.get_block(NOTION_PAGE_LINK)
    refresh_button = page.children[REFRESH_BUTTON_POSITION]

    # symbols = get_stock_symbols()
    # enter_symbols(symbols)
    populate_stock_data()
Exemplo n.º 3
0
def callback():
    client = NotionClient(token_v2=NOTION_V2_TOKEN)
    page = client.get_block(NOTION_PAGE_LINK)
    refresh_button = page.children[REFRESH_BUTTON_POSITION]
    updating_indicator = page.children[UPDATING_POSITION]

    if refresh_button.checked == True:
        refresh_button.checked = False
        main()
Exemplo n.º 4
0
def get_stock_symbols():
    client = NotionClient(token_v2=NOTION_V2_TOKEN)
    page = client.get_block(NOTION_PAGE_LINK)
    refresh_button = page.children[STOCK_SYMBOLS_LIST]

    clear_table()

    raw_symbols = refresh_button.title
    symbols = [x.strip() for x in raw_symbols.split(",")]

    return symbols
Exemplo n.º 5
0
def clear_table():
    client = NotionClient(token_v2=NOTION_V2_TOKEN)
    page = client.get_block(NOTION_PAGE_LINK)
    database = page.children[DATABASE_POSITION].collection
    updating_indicator = page.children[UPDATING_POSITION]

    updating_indicator.title = "🗑  Clearing Stocks table"

    rows = database.get_rows()
    for row in rows:
        row.remove()

    updating_indicator.title = "🌱  Stocks table is ready to go"
Exemplo n.º 6
0
def populate_stock_data():
    client = NotionClient(token_v2=NOTION_V2_TOKEN)
    page = client.get_block(NOTION_PAGE_LINK)
    database = page.children[DATABASE_POSITION].collection
    symbols = get_stock_symbols()

    PARTITIONS = min(len(symbols), 10)
    executor = ThreadPoolExecutor(max_workers=PARTITIONS)
    for symbols_sub in [
            symbols[int(i * len(symbols) /
                        PARTITIONS):int(i * len(symbols) / PARTITIONS +
                                        len(symbols) / PARTITIONS)]
            for i in range(PARTITIONS)
    ]:
        executor.submit(process_rows, (symbols_sub))
Exemplo n.º 7
0
def enter_symbols(symbols):
    client = NotionClient(token_v2=NOTION_V2_TOKEN)
    page = client.get_block(NOTION_PAGE_LINK)
    database = page.children[DATABASE_POSITION].collection
    updating_indicator = page.children[UPDATING_POSITION]

    updating_indicator.title = "🔥 Updating Symbols -- progress: %s/%s" % (
        str(0), str(len(symbols)))

    for i, symbol in enumerate(symbols):
        row = database.add_row()
        row.symbol = symbol
        updating_indicator.title = "🔥  Updating Symbols -- progress: %s/%s" % (
            str(i + 1), str(len(symbols)))

    updating_indicator.title = "👀  Symbols updated!"
Exemplo n.º 8
0
def main():
    client = NotionClient(token_v2=NOTION_V2_TOKEN)
    page = client.get_block(NOTION_PAGE_LINK)

    r = requests.get(url=API_URL)
    data = r.json()
    articles = data['articles'] or []

    for child in page.children:
        child.remove()

    callout = page.children.add_new(
        CalloutBlock,
        title="News articles have been auto updated as of %s" % get_datetime())

    for article in articles:
        add_article(page, article)
def notion_update(data):
    client = NotionClient(token_v2=NOTION_V2_TOKEN)
    
    block = client.get_block(NOTION_PAGE_LINK)
    cv = block.collection
    rows = cv.get_rows()

    cv.clear_properties()
    for row in rows:
        row.remove()


    title = data[0][0]
    cv.set_property('title', title, slug=title, property_type='title')
    for i, prop in enumerate(data[0][1:]):
        prop_type = get_prop_type(data[1][1:][i]) if data[1] and data[1][1:] else 'text'
        cv.set_property(prop, prop, slug=prop, property_type=prop_type)

    for row in data[1:]:
        new_row = cv.add_row()
        for i, value in enumerate(row):
            prop = data[0][i]
            new_row.set_property(prop, value)