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Update stock.py
Browse files
stock.py
CHANGED
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@@ -67,79 +67,81 @@ from chart_builder import build_chart
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from ta_indi_pat import talib_df
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def fetch_intraday(symbol, indicators=None):
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key = f"intraday_{symbol}"
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# 1️⃣ Check cache (HTML only)
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if exists(key, "html"):
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intra_html = load(key, "html")
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if intra_html is not False:
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return intra_html
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# 2️⃣ Fetch fresh data
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df = intraday(symbol)
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if df is False or df is None or df.empty:
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return wrap_html(f"<h1>No intraday data for {symbol}</h1>")
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# Flatten columns if MultiIndex
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if isinstance(df.columns, pd.MultiIndex):
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df.columns = df.columns.get_level_values(0)
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# Optional upload (unchanged)
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file_name = f"intraday/{symbol}.csv"
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upload_file("eshanhf", file_name, df)
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# Build HTML
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table_html = make_table(df.tail(50))
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intra_html = wrap_html(
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f"<h2>Last 50 Rows</h2>{table_html}",
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title=f"{symbol} Intraday"
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)
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# 3️⃣ Save HTML cache
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save(key, intra_html, "html")
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return intra_html
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except Exception as e:
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return wrap_html(f"<h1>Error: {e}</h1>")
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#
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def fetch_daily(symbol, source="yfinance", max_rows=200):
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if exists("daily_"+symbol, "html"):
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daily_html = load("daily_"+symbol, "html")
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else:
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try:
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df = daily(symbol)
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if isinstance(df.columns, pd.MultiIndex):
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df.columns = df.columns.get_level_values(0)
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)
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scroll = f"""
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<div style="overflow:auto; max-height:600px; border:1px solid #ccc;">
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{table_html}
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</div>
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"""
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daily_html= wrap_html(f"<h2>{symbol} Daily</h2>" + html_card("TA-Lib", scroll))
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save("daily_"+symbol,daily_html, "html")
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except Exception as e:
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# -------------------------- QUARTERLY ------------------------------
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from ta_indi_pat import talib_df
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def wrap_html(content, title="Market Data"):
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return f"<html><head><title>{title}</title></head><body>{content}</body></html>"
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def make_table(df: pd.DataFrame):
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return df.to_html(index=False)
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def intraday(symbol):
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"""Fetch 1-day intraday data (1-min interval)"""
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df = yf.download(symbol + ".NS", period="1d", interval="5m", progress=False)
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print(f"[{datetime.now().strftime('%Y-%m-%d %H:%M:%S')}] fetching from yfinance intraday: {e}")
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return df.round(2)
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=========
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# Fetch Intraday
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# ==============================
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def fetch_intraday(symbol, indicators=None):
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key = f"intraday_{symbol}"
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if exists(key, "html"):
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intra_html = load(key, "html")
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if intra_html is not False:
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print(f"[{datetime.now().strftime('%Y-%m-%d %H:%M:%S')}] Using cached HTML for {symbol}")
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return intra_html
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try:
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print(f"[{datetime.now().strftime('%Y-%m-%d %H:%M:%S')}] Fetching intraday data for {symbol}")
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df = intraday(symbol)
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if df is None or df.empty:
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return wrap_html(f"<h1>No intraday data for {symbol}</h1>")
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if isinstance(df.columns, pd.MultiIndex):
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df.columns = df.columns.get_level_values(0)
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table_html = make_table(df.tail(50))
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intra_html = wrap_html(f"<h2>Last 50 Rows</h2>{table_html}", title=f"{symbol} Intraday")
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save(key, intra_html, "html")
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return intra_html
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except Exception as e:
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print(f"[{datetime.now().strftime('%Y-%m-%d %H:%M:%S')}] Error in fetch_intraday: {e}")
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return wrap_html(f"<h1>Error: {e}</h1>")
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# ==============================
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# Fetch Daily
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# ==============================
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def fetch_daily(symbol):
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key = f"daily_{symbol}"
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if exists(key, "html"):
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daily_html = load(key, "html")
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if daily_html is not False:
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print(f"[{datetime.now().strftime('%Y-%m-%d %H:%M:%S')}] Using cached HTML for {symbol} daily")
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return daily_html
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try:
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print(f"[{datetime.now().strftime('%Y-%m-%d %H:%M:%S')}] Fetching daily data for {symbol}")
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df = daily(symbol)
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if df is None or df.empty:
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return wrap_html(f"<h1>No daily data for {symbol}</h1>")
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if isinstance(df.columns, pd.MultiIndex):
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df.columns = df.columns.get_level_values(0)
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table_html = make_table(df.tail(50))
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daily_html = wrap_html(f"<h2>Last 50 Rows</h2>{table_html}", title=f"{symbol} Daily")
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save(key, daily_html, "html")
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return daily_html
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except Exception as e:
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print(f"[{datetime.now().strftime('%Y-%m-%d %H:%M:%S')}] Error in fetch_daily: {e}")
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return wrap_html(f"<h1>Error: {e}</h1>")
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# -------------------------- QUARTERLY ------------------------------
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