Delete app/yahooinfo3.py

app/yahooinfo3.py

@@ -1,383 +0,0 @@
-# ==============================
-# Imports
-# ==============================
-import yfinance as yf
-import pandas as pd
-import traceback
-from datetime import datetime, timezone
-
-from .persist import exists, load, save
-
-
-# ==============================
-# Yahoo Finance fetch
-# ==============================
-def yfinfo(symbol):
-    try:
-        t = yf.Ticker(symbol + ".NS")
-        info = t.info
-        return info if isinstance(info, dict) else {}
-    except Exception as e:
-        return {"__error__": str(e)}
-
-
-# ==============================
-# Icons
-# ==============================
-MAIN_ICONS = {
-    "Price / Volume": "📈",
-    "Fundamentals": "📊",
-    "Trend": "📈",
-    "Signals": "🧠",
-    "Company Profile": "🏢",
-    "Management": "👔"
-}
-
-
-# ==============================
-# Layout helpers
-# ==============================
-def column_layout(html):
-    return f"""
-    <style>
-        .grid {{
-            display:grid;
-            gap:10px;
-            grid-template-columns:repeat(3,1fr);
-        }}
-        @media(max-width:1024px) {{
-            .grid {{ grid-template-columns:repeat(2,1fr); }}
-        }}
-        @media(max-width:640px) {{
-            .grid {{ grid-template-columns:1fr; }}
-        }}
-        .pos {{ color:#0a7d32;font-weight:600; }}
-        .neg {{ color:#b00020;font-weight:600; }}
-    </style>
-    <div class="grid">{html}</div>
-    """
-
-
-def collapsible(title, body):
-    return f"""
-    <details open>
-        <summary style="cursor:pointer;font-weight:600;font-size:15px;padding:6px 0;">
-            {title}
-        </summary>
-        {body}
-    </details>
-    """
-
-
-def html_card(title, body, mini=False, shade=0):
-    font = "12px" if mini else "14px"
-    pad  = "6px" if mini else "10px"
-    shades = ["#e6f0fa","#d7e3f5","#c8d6f0"]
-
-    return f"""
-    <div style="background:{shades[shade%3]};
-                border:1px solid #a3c0e0;
-                border-radius:8px;
-                padding:{pad};
-                font-size:{font};">
-        <div style="font-weight:600;margin-bottom:6px;">
-            {title}
-        </div>
-        {body}
-    </div>
-    """
-
-
-# ==============================
-# Formatting helpers
-# ==============================
-def human_number(n):
-    try:
-        n = float(n)
-        if abs(n) >= 1e7: return f"{n/1e7:.2f}Cr"
-        if abs(n) >= 1e5: return f"{n/1e5:.2f}L"
-        if abs(n) >= 1e3: return f"{n/1e3:.2f}K"
-        return f"{n:,.2f}"
-    except:
-        return str(n)
-
-
-# ---------- DATE FIX (ROBUST) ----------
-DATE_KEYWORDS = (
-    "date", "time", "timestamp",
-    "fiscal", "quarter",
-    "earnings", "dividend"
-)
-
-def looks_like_unix_ts(v):
-    try:
-        v = int(v)
-        return (
-            946684800 <= v <= 4102444800 or       # seconds
-            946684800000 <= v <= 4102444800000   # milliseconds
-        )
-    except:
-        return False
-
-
-def unix_to_date(v):
-    try:
-        v = int(v)
-        if v > 10**12:
-            v //= 1000
-        return datetime.fromtimestamp(v, tz=timezone.utc).strftime("%d %b %Y")
-    except:
-        return v
-
-
-def format_value(k, v):
-    lk = k.lower()
-
-    # --- DATE HANDLING ---
-    if isinstance(v, (int, float)) and looks_like_unix_ts(v):
-        if any(x in lk for x in DATE_KEYWORDS):
-            return unix_to_date(v)
-
-    # --- NUMBERS ---
-    if isinstance(v, (int, float)):
-        cls = "pos" if v > 0 else "neg" if v < 0 else ""
-        if "percent" in lk:
-            return f'<span class="{cls}">{v:.2f}%</span>'
-        if any(x in lk for x in [
-            "marketcap","revenue","income",
-            "value","cap","enterprise"
-        ]):
-            return f'<span class="{cls}">₹{human_number(v)}</span>'
-        return f'<span class="{cls}">{human_number(v)}</span>'
-
-    return v
-
-
-def make_table(df):
-    return "".join(
-        f"""
-        <div style="display:flex;justify-content:space-between;
-                    border-bottom:1px dashed #bcd0ea;padding:2px 0;">
-            <span>{r.Field}</span>
-            <span>{r.Value}</span>
-        </div>
-        """
-        for r in df.itertuples()
-    )
-
-
-# ==============================
-# Keys
-# ==============================
-NOISE_KEYS = {
-    "maxAge","priceHint","triggerable",
-    "customPriceAlertConfidence",
-    "sourceInterval","exchangeDataDelayedBy",
-    "esgPopulated"
-}
-
-SHORT_NAMES = {
-    "regularMarketPrice":"Price",
-    "regularMarketChange":"Chg",
-    "regularMarketChangePercent":"Chg%",
-    "regularMarketOpen":"Open",
-    "regularMarketDayHigh":"High",
-    "regularMarketDayLow":"Low",
-    "regularMarketVolume":"Vol",
-    "marketCap":"MCap",
-    "trailingPE":"PE",
-    "forwardPE":"FwdPE",
-    "priceToBook":"PB",
-    "epsTrailingTwelveMonths":"EPS",
-    "returnOnEquity":"ROE",
-    "returnOnAssets":"ROA",
-    "profitMargins":"Margin",
-    "debtToEquity":"D/E",
-    "mostRecentQuarter":"Recent Q",
-    "lastFiscalYearEnd":"FY End",
-    "nextFiscalYearEnd":"Next FY"
-}
-
-PIN_PRICE = ["Price","Chg","Chg%","Open","High","Low","Vol"]
-PIN_FUND  = ["MCap","PE","PB","EPS","ROE","ROA","Margin","D/E"]
-
-def pretty_key(k):
-    return SHORT_NAMES.get(k, k[:16])
-
-
-# ==============================
-# Classification
-# ==============================
-def classify(k, v):
-    lk = k.lower()
-    if k == "companyOfficers":
-        return "management"
-    if any(x in lk for x in [
-        "pe","pb","roe","roa","margin",
-        "debt","revenue","profit","eps","cap"
-    ]):
-        return "fundamental"
-    if isinstance(v, (int, float)):
-        return "price_volume"
-    if isinstance(v, str) and len(v) > 80:
-        return "long_text"
-    return "profile"
-
-
-def group_info(info):
-    g = {
-        "price_volume": {},
-        "fundamental": {},
-        "profile": {},
-        "management": {},
-        "long_text": {}
-    }
-    for k,v in info.items():
-        if k in NOISE_KEYS or v in [None,"",[],{}]:
-            continue
-        g[classify(k,v)][k] = v
-    return g
-
-
-# ==============================
-# Builders
-# ==============================
-def build_df(data, pinned=None):
-    rows = [(pretty_key(k), format_value(k,v)) for k,v in data.items()]
-    pinned = pinned or []
-    rows.sort(key=lambda x: (
-        0 if x[0] in pinned else 1,
-        pinned.index(x[0]) if x[0] in pinned else x[0]
-    ))
-    return pd.DataFrame(rows, columns=["Field","Value"])
-
-
-def split_df(df):
-    n = len(df)
-    cols = 1 if n <= 6 else 2 if n <= 14 else 3
-    size = (n + cols - 1) // cols
-    return [df.iloc[i:i+size] for i in range(0, n, size)]
-
-
-# ==============================
-# Trend & Signals
-# ==============================
-def build_trend(info):
-    rows = []
-    p = info.get("regularMarketPrice")
-    l = info.get("fiftyTwoWeekLow")
-    h = info.get("fiftyTwoWeekHigh")
-    d50 = info.get("fiftyDayAverage")
-    beta = info.get("beta")
-
-    if p and l and h:
-        rows.append(("52W Position", f"{(p-l)/(h-l)*100:.1f}%"))
-    if p and d50:
-        rows.append(("vs 50DMA", "Above ↑" if p>d50 else "Below ↓"))
-    if beta:
-        rows.append(("Risk", "High" if beta>1.3 else "Low" if beta<0.8 else "Moderate"))
-
-    return pd.DataFrame(rows, columns=["Field","Value"])
-
-
-def build_signals(info):
-    rows = []
-    pe = info.get("trailingPE")
-    roe = info.get("returnOnEquity")
-    p = info.get("regularMarketPrice")
-    d50 = info.get("fiftyDayAverage")
-
-    if pe:
-        rows.append(("Valuation","Expensive" if pe>35 else "Cheap" if pe<15 else "Fair"))
-    if p and d50:
-        rows.append(("Momentum","Strong" if p>d50 else "Weak"))
-    if roe:
-        rows.append(("Quality","High" if roe>0.18 else "Average"))
-
-    return pd.DataFrame(rows, columns=["Field","Value"])
-
-
-# ==============================
-# MAIN
-# ==============================
-def fetch_info(symbol):
-    key = f"info_{symbol}"
-
-    if exists(key,"html"):
-        cached = load(key,"html")
-        if cached:
-            return cached
-
-    try:
-        info = yfinfo(symbol)
-        if "__error__" in info:
-            return "No data"
-
-        g = group_info(info)
-        html = ""
-
-        if g["price_volume"]:
-            df = build_df(g["price_volume"], PIN_PRICE)
-            html += collapsible(
-                f"{MAIN_ICONS['Price / Volume']} Price / Volume",
-                column_layout("".join(
-                    html_card("Price", make_table(c), mini=True)
-                    for c in split_df(df)
-                ))
-            )
-
-        if g["fundamental"]:
-            df = build_df(g["fundamental"], PIN_FUND)
-            html += collapsible(
-                f"{MAIN_ICONS['Fundamentals']} Fundamentals",
-                column_layout("".join(
-                    html_card("Fundamentals", make_table(c), mini=True)
-                    for c in split_df(df)
-                ))
-            )
-
-        trend = build_trend(info)
-        if not trend.empty:
-            html += collapsible(
-                f"{MAIN_ICONS['Trend']} Trend Summary",
-                html_card("Trend", make_table(trend), mini=True)
-            )
-
-        sig = build_signals(info)
-        if not sig.empty:
-            html += collapsible(
-                f"{MAIN_ICONS['Signals']} Smart Signals",
-                html_card("Signals", make_table(sig), mini=True)
-            )
-
-        if g["profile"]:
-            df = build_df(g["profile"])
-            html += collapsible(
-                f"{MAIN_ICONS['Company Profile']} Company Profile",
-                column_layout("".join(
-                    html_card("Profile", make_table(c), mini=True)
-                    for c in split_df(df)
-                ))
-            )
-
-        if g["management"].get("companyOfficers"):
-            cards = ""
-            for o in g["management"]["companyOfficers"]:
-                cards += html_card(
-                    o.get("name",""),
-                    o.get("title",""),
-                    mini=True
-                )
-            html += collapsible(
-                f"{MAIN_ICONS['Management']} Management",
-                column_layout(cards)
-            )
-
-        for k,v in g["long_text"].items():
-            html += collapsible(pretty_key(k), v)
-
-        save(key, html, "html")
-        return html
-
-    except Exception:
-        return f"<pre>{traceback.format_exc()}</pre>"