Delete app/stock.py

app/stock.py

@@ -1,289 +0,0 @@
-# stock.py — compact, merged, single-file (collision-safe)
-
-import traceback
-import pandas as pd
-import yfinance as yf
-from datetime import datetime as dt
-
-# persist helpers
-from . import persist
-from .common import *
-from . import backblaze as b2
-#from . import ta_indi_pat
-
-
-
-# ================================================================
-#                    BASIC YFINANCE FETCHERS
-# ================================================================
-
-def yfinfo(symbol):
-    return yf.Ticker(symbol + ".NS").info
-
-
-def qresult(symbol):
-    return yf.Ticker(symbol + ".NS").quarterly_financials
-
-
-def result(symbol):
-    return yf.Ticker(symbol + ".NS").financials
-
-
-def balance(symbol):
-    return yf.Ticker(symbol + ".NS").balance_sheet
-
-
-def cashflow(symbol):
-    return yf.Ticker(symbol + ".NS").cashflow
-
-
-def dividend(symbol):
-    return yf.Ticker(symbol + ".NS").dividends.to_frame("Dividend")
-
-
-def split(symbol):
-    return yf.Ticker(symbol + ".NS").splits.to_frame("Split")
-
-
-def intraday(symbol):
-    print(f"[{dt.now().strftime('%Y-%m-%d %H:%M:%S')}] yf called for {symbol}")
-    return yf.download(symbol + ".NS", period="1d", interval="5m").round(2)
-
-
-
-# ================================================================
-#                         INTRADAY
-# ================================================================
-
-def fetch_intraday(symbol, indicators=None):
-    key = f"intraday_{symbol}"
-
-
-
-    try:
-        df = intraday(symbol)
-        if df is None or df is False or df.empty:
-            return wrap_html(f"<h1>No intraday data for {symbol}</h1>")
-
-        if isinstance(df.columns, pd.MultiIndex):
-            df.columns = df.columns.get_level_values(0)
-        
-
-        df_display = df.copy()
-        df_display.reset_index(inplace=True)
-
-        html = wrap_html(
-            f"<h2>Last 50 Rows</h2>{make_table(df_display)}",
-            title=f"{symbol} Intraday"
-        )
-
-
-        return html
-
-    except Exception as e:
-        print(f"[{dt.now().strftime('%Y-%m-%d %H:%M:%S')}] Error fetch_intraday: {e}")
-        return wrap_html(f"<h1>Error: {e}</h1>")
-
-
-# ================================================================
-#                           DAILY
-# ================================================================
-
-# ================================================================
-#                        QUARTERLY
-# ================================================================
-
-def fetch_qresult(symbol):
-    key = f"qresult_{symbol}"
-
-
-    try:
-        df = qresult(symbol)
-        if df.empty:
-            return wrap_html(f"<h1>No quarterly results for {symbol}</h1>")
-
-        df_display = df.copy()
-        for col in df_display.columns:
-            df_display[col] = df_display[col].apply(
-                lambda x: format_large_number(x) if isinstance(x, (int, float)) else x
-            )
-
-        df_display.reset_index(inplace=True)
-
-        html = wrap_html(make_table(df_display), title=f"{symbol} Quarterly Results")
-
-        return html
-
-    except Exception as e:
-        print(f"[{dt.now().strftime('%Y-%m-%d %H:%M:%S')}] Error fetch_qresult: {e}")
-        return wrap_html(html_error(f"Quarterly Error: {e}"))
-
-
-# ================================================================
-#                          ANNUAL
-# ================================================================
-
-def fetch_result(symbol):
-    key = f"result_{symbol}"
-
-
-
-    try:
-        df = result(symbol)
-        if df.empty:
-            return wrap_html(f"<h1>No annual results for {symbol}</h1>")
-
-
-        df_display = df.copy()
-        for col in df_display.columns:
-            df_display[col] = df_display[col].apply(
-                lambda x: format_large_number(x) if isinstance(x, (int, float)) else x
-            )
-
-        df_display.reset_index(inplace=True)
-
-        html = wrap_html(make_table(df_display), title=f"{symbol} Annual Results")
-
-        return html
-
-    except Exception as e:
-        print(f"[{dt.now().strftime('%Y-%m-%d %H:%M:%S')}] Error fetch_result: {e}")
-        return wrap_html(html_error(f"Annual Error: {e}"))
-
-
-# ================================================================
-#                        BALANCE SHEET
-# ================================================================
-
-def fetch_balance(symbol):
-    key = f"balance_{symbol}"
-
-
-    try:
-        df = balance(symbol)
-        if df.empty:
-            return wrap_html(f"<h1>No balance sheet for {symbol}</h1>")
-
-        df_display = df.copy()
-        for col in df_display.columns:
-            df_display[col] = df_display[col].apply(
-                lambda x: format_large_number(x) if isinstance(x, (int, float)) else x
-            )
-
-        df_display.reset_index(inplace=True)
-
-        html = wrap_html(make_table(df_display), title=f"{symbol} Balance Sheet")
-
-        return html
-
-    except Exception as e:
-        print(f"[{dt.now().strftime('%Y-%m-%d %H:%M:%S')}] Error fetch_balance: {e}")
-        return wrap_html(html_error(f"Balance Error: {e}"))
-
-
-# ================================================================
-#                          CASHFLOW
-# ================================================================
-
-def fetch_cashflow(symbol):
-    key = f"cashflow_{symbol}"
-
-
-    try:
-        df = cashflow(symbol)
-        if df.empty:
-            return wrap_html(f"<h1>No cashflow for {symbol}</h1>")
-
-
-        df_display = df.copy()
-        for col in df_display.columns:
-            df_display[col] = df_display[col].apply(
-                lambda x: format_large_number(x) if isinstance(x, (int, float)) else x
-            )
-
-        df_display.reset_index(inplace=True)
-
-        html = wrap_html(make_table(df_display), title=f"{symbol} Cash Flow")
-
-        return html
-
-    except Exception as e:
-        print(f"[{dt.now().strftime('%Y-%m-%d %H:%M:%S')}] Error fetch_cashflow: {e}")
-        return wrap_html(html_error(f"Cash Flow Error: {e}"))
-
-
-# ================================================================
-#                         DIVIDEND
-# ================================================================
-
-def fetch_dividend(symbol):
-    key = f"dividend_{symbol}"
-
-
-    try:
-        df = dividend(symbol)
-        if df.empty:
-            return wrap_html(f"<h1>No dividend history for {symbol}</h1>")
-
-        df_display = df.copy()
-        df_display.reset_index(inplace=True)
-
-        html = wrap_html(make_table(df_display), title=f"{symbol} Dividends")
-
-        return html
-
-    except Exception as e:
-        print(f"[{dt.now().strftime('%Y-%m-%d %H:%M:%S')}] Error fetch_dividend: {e}")
-        return wrap_html(html_error(f"Dividend Error: {e}"))
-
-
-# ================================================================
-#                            SPLIT
-# ================================================================
-
-def fetch_split(symbol):
-    key = f"split_{symbol}"
-
-
-    try:
-        df = split(symbol)
-        if df.empty:
-            return wrap_html(f"<h1>No splits for {symbol}</h1>")
-
-        df_display = df.copy()
-        df_display.reset_index(inplace=True)
-
-        html = wrap_html(make_table(df_display), title=f"{symbol} Splits")
-
-        return html
-
-    except Exception as e:
-        print(f"[{dt.now().strftime('%Y-%m-%d %H:%M:%S')}] Error fetch_split: {e}")
-        return wrap_html(html_error(f"Split Error: {e}"))
-
-
-# ================================================================
-#                           EARNINGS
-# ================================================================
-
-def fetch_other(symbol):
-    key = f"other_{symbol}"
-
-
-    try:
-        ticker = yf.Ticker(symbol + ".NS")
-        df = ticker.earnings
-
-        if df.empty:
-            return wrap_html(f"<h1>No earnings data for {symbol}</h1>")
-
-        df_display = df.copy()
-        df_display.reset_index(inplace=True)
-
-        html = wrap_html(make_table(df_display), title=f"{symbol} Earnings")
-
-        return html
-
-    except Exception as e:
-        print(f"[{dt.now().strftime('%Y-%m-%d %H:%M:%S')}] Error fetch_other: {e}")
-        return wrap_html(html_error(f"Earnings Error: {e}"))