Delete stock.py

stock.py

@@ -1,386 +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
-
-import persist
-import common
-from backblaze import *
-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)
-
-
-def daily(symbol):
-    print(f"[{dt.now().strftime('%Y-%m-%d %H:%M:%S')}] yf called for {symbol}")
-    return yf.download(symbol + ".NS", period="1y", interval="1d").round(2)
-
-
-# ================================================================
-#              HTML HELPERS (delegated to common)
-# ================================================================
-
-format_number = common.format_number
-format_large_number = common.format_large_number
-make_table = common.make_table
-html_card = common.html_card
-html_section = common.html_section
-html_error = common.html_error
-clean_df = common.clean_df
-safe_get = common.safe_get
-wrap_html = common.wrap_html
-
-#build_chart = chart_builder.build_chart
-talib_df = ta_indi_pat.talib_df
-
-
-# ================================================================
-#                         INTRADAY
-# ================================================================
-
-def fetch_intraday(symbol, indicators=None):
-    key = f"intraday_{symbol}"
-
-    if persist.exists(key, "html"):
-        cached = persist.load(key, "html")
-        if cached is not False:
-            print(f"[{dt.now().strftime('%Y-%m-%d %H:%M:%S')}] Using cached intraday for {symbol}")
-            return cached
-
-    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)
-
-        upload_file("eshanhf", f"intraday/{symbol}.csv", df)
-
-        df_display = df.tail(50).copy()
-        df_display.reset_index(inplace=True)
-
-        html = wrap_html(
-            f"<h2>Last 50 Rows</h2>{make_table(df_display)}",
-            title=f"{symbol} Intraday"
-        )
-
-        persist.save(key, html, "html")
-        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
-# ================================================================
-
-def fetch_daily(symbol):
-    key = f"daily_{symbol}"
-
-    if persist.exists(key, "html"):
-        cached = persist.load(key, "html")
-        if cached is not False:
-            print(f"[{dt.now().strftime('%Y-%m-%d %H:%M:%S')}] Using cached daily for {symbol}")
-            return cached
-
-    try:
-        df = daily(symbol)
-        if df is None or df is False or df.empty:
-            return wrap_html(f"<h1>No daily data for {symbol}</h1>")
-
-        upload_file("eshanhf", f"daily/{symbol}.csv", df)
-
-        df_display = df.tail(50).copy()
-        df_display.reset_index(inplace=True)
-
-        html = wrap_html(
-            f"<h2>Last 50 Rows</h2>{make_table(df_display)}",
-            title=f"{symbol} Daily"
-        )
-
-        persist.save(key, html, "html")
-        return html
-
-    except Exception as e:
-        print(f"[{dt.now().strftime('%Y-%m-%d %H:%M:%S')}] Error fetch_daily: {e}")
-        return wrap_html(f"<h1>Error: {e}</h1>")
-
-
-# ================================================================
-#                        QUARTERLY
-# ================================================================
-
-def fetch_qresult(symbol):
-    key = f"qresult_{symbol}"
-
-    if persist.exists(key, "html"):
-        cached = persist.load(key, "html")
-        if cached is not False:
-            print(f"[{dt.now().strftime('%Y-%m-%d %H:%M:%S')}] Using cached quarterly for {symbol}")
-            return cached
-
-    try:
-        df = qresult(symbol)
-        if df.empty:
-            return wrap_html(f"<h1>No quarterly results for {symbol}</h1>")
-
-        upload_file("eshanhf", f"qresult/{symbol}.csv", df)
-
-        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")
-        persist.save(key, html, "html")
-        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}"
-
-    if persist.exists(key, "html"):
-        cached = persist.load(key, "html")
-        if cached is not False:
-            print(f"[{dt.now().strftime('%Y-%m-%d %H:%M:%S')}] Using cached annual for {symbol}")
-            return cached
-
-    try:
-        df = result(symbol)
-        if df.empty:
-            return wrap_html(f"<h1>No annual results for {symbol}</h1>")
-
-        upload_file("eshanhf", f"result/{symbol}.csv", df)
-
-        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")
-        persist.save(key, html, "html")
-        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}"
-
-    if persist.exists(key, "html"):
-        cached = persist.load(key, "html")
-        if cached is not False:
-            print(f"[{dt.now().strftime('%Y-%m-%d %H:%M:%S')}] Using cached balance for {symbol}")
-            return cached
-
-    try:
-        df = balance(symbol)
-        if df.empty:
-            return wrap_html(f"<h1>No balance sheet for {symbol}</h1>")
-
-        upload_file("eshanhf", f"balance/{symbol}.csv", df)
-
-        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")
-        persist.save(key, html, "html")
-        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}"
-
-    if persist.exists(key, "html"):
-        cached = persist.load(key, "html")
-        if cached is not False:
-            print(f"[{dt.now().strftime('%Y-%m-%d %H:%M:%S')}] Using cached cashflow for {symbol}")
-            return cached
-
-    try:
-        df = cashflow(symbol)
-        if df.empty:
-            return wrap_html(f"<h1>No cashflow for {symbol}</h1>")
-
-        upload_file("eshanhf", f"cashflow/{symbol}.csv", df)
-
-        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")
-        persist.save(key, html, "html")
-        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}"
-
-    if persist.exists(key, "html"):
-        cached = persist.load(key, "html")
-        if cached is not False:
-            print(f"[{dt.now().strftime('%Y-%m-%d %H:%M:%S')}] Using cached dividend for {symbol}")
-            return cached
-
-    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")
-        persist.save(key, html, "html")
-        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}"
-
-    if persist.exists(key, "html"):
-        cached = persist.load(key, "html")
-        if cached is not False:
-            print(f"[{dt.now().strftime('%Y-%m-%d %H:%M:%S')}] Using cached split for {symbol}")
-            return cached
-
-    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")
-        persist.save(key, html, "html")
-        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}"
-
-    if persist.exists(key, "html"):
-        cached = persist.load(key, "html")
-        if cached is not False:
-            print(f"[{dt.now().strftime('%Y-%m-%d %H:%M:%S')}] Using cached earnings for {symbol}")
-            return cached
-
-    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")
-        persist.save(key, html, "html")
-        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}"))