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"""Company overview — header, key stats, and price chart."""
import streamlit as st
import plotly.graph_objects as go
from services.data_service import get_company_info, get_price_history
from utils.formatters import fmt_large, fmt_currency, fmt_pct, fmt_ratio
PERIODS = {"1 Month": "1mo", "3 Months": "3mo", "6 Months": "6mo", "1 Year": "1y", "5 Years": "5y"}
def render_overview(ticker: str):
info = get_company_info(ticker)
if not info:
st.error(f"Could not load data for **{ticker}**. Check the ticker symbol.")
return
# ── Company header ──────────────────────────────────────────────────────
name = info.get("longName") or info.get("shortName", ticker.upper())
price = info.get("currentPrice") or info.get("regularMarketPrice")
prev_close = info.get("regularMarketPreviousClose") or info.get("previousClose")
price_change = None
price_change_pct = None
if price and prev_close:
price_change = price - prev_close
price_change_pct = price_change / prev_close
col1, col2 = st.columns([3, 1])
with col1:
st.subheader(f"{name} ({ticker.upper()})")
sector = info.get("sector", "")
industry = info.get("industry", "")
if sector:
st.caption(f"{sector} · {industry}")
with col2:
delta_str = None
if price_change is not None and price_change_pct is not None:
delta_str = f"{price_change:+.2f} ({price_change_pct * 100:+.2f}%)"
st.metric(
label="Price",
value=fmt_currency(price) if price else "—",
delta=delta_str,
)
# ── Key stats strip ─────────────────────────────────────────────────────
stats_cols = st.columns(6)
stats = [
("Mkt Cap", fmt_large(info.get("marketCap"))),
("P/E (TTM)", fmt_ratio(info.get("trailingPE"))),
("EPS (TTM)", fmt_currency(info.get("trailingEps"))),
("52W High", fmt_currency(info.get("fiftyTwoWeekHigh"))),
("52W Low", fmt_currency(info.get("fiftyTwoWeekLow"))),
("Beta", fmt_ratio(info.get("beta"))),
]
for col, (label, val) in zip(stats_cols, stats):
col.metric(label, val)
st.divider()
# ── Price chart ─────────────────────────────────────────────────────────
period_label = st.radio(
"Period",
options=list(PERIODS.keys()),
index=3,
horizontal=True,
label_visibility="collapsed",
)
period = PERIODS[period_label]
hist = get_price_history(ticker, period=period)
if hist.empty:
st.warning("No price history available.")
return
fig = go.Figure()
fig.add_trace(
go.Scatter(
x=hist.index,
y=hist["Close"],
mode="lines",
name="Close",
line=dict(color="#4F8EF7", width=2),
fill="tozeroy",
fillcolor="rgba(79, 142, 247, 0.08)",
)
)
fig.update_layout(
margin=dict(l=0, r=0, t=10, b=0),
xaxis=dict(showgrid=False, zeroline=False),
yaxis=dict(showgrid=True, gridcolor="rgba(255,255,255,0.05)", zeroline=False),
plot_bgcolor="rgba(0,0,0,0)",
paper_bgcolor="rgba(0,0,0,0)",
hovermode="x unified",
height=320,
)
st.plotly_chart(fig, use_container_width=True)
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