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c8ec91c 6b5f7fb c8ec91c 6b5f7fb c8ec91c 6b5f7fb c8ec91c 6b5f7fb c8ec91c 6b5f7fb c8ec91c 6b5f7fb c8ec91c 6b5f7fb c8ec91c 6b5f7fb c8ec91c 6b5f7fb c8ec91c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 | import os
import streamlit as st
import pandas as pd
from src.data_sources import list_live_matches, scorecard, extract_simple_context, striker_form_last_overs
from src.features import candidates_from_scorecard, PHASES
from src.strategy_agent import StrategyContext, suggest_strategy
st.set_page_config(page_title="Cricket Strategy Agent (MVP)", page_icon="🏏", layout="wide")
st.title("🏏 Agentic Cricket Strategy (Real-Time MVP)")
with st.sidebar:
st.markdown("### Settings")
st.markdown("**Requires**: `GROQ_API_KEY` (sidebar → Space secrets).")
phase = st.selectbox("Phase", PHASES, index=1)
st.subheader("Live Matches")
# --- FIX: always convert to DataFrame ---
matches = list_live_matches()
df = pd.DataFrame(matches)
if df.empty:
st.info("No live/preview matches found right now, or API unreachable. Try later.")
st.stop()
# Select a match
match_row = st.selectbox(
"Select a match",
df.to_dict("records"),
format_func=lambda r: f"{r.get('title', 'Unknown')} ({r.get('state', 'N/A')})"
)
mid = str(match_row.get("match_id"))
with st.spinner("Fetching scorecard..."):
sc = scorecard(mid)
ctx = extract_simple_context(sc)
if not ctx:
st.error("Could not parse scorecard for this match.")
st.stop()
col1, col2, col3 = st.columns(3)
with col1:
batting_team = st.selectbox("Batting", [ctx.get("batting_team", "Unknown")])
with col2:
bowling_team = st.selectbox("Bowling", [ctx.get("bowling_team", "Unknown")])
with col3:
st.metric(
"Score / Wkts (Overs)",
f"{ctx.get('score', 0)}-{ctx.get('wickets', 0)} ({ctx.get('overs', 0)})",
help=f"RR: {ctx.get('rr', 0)} | CRR: {ctx.get('crr', 0)}"
)
batsmen = ctx.get("players", {}).get("batsmen", [])
if not batsmen:
st.warning("Batsmen list unavailable. Proceeding with defaults.")
striker = st.selectbox("Striker", batsmen if batsmen else ["Unknown"])
bowlers = candidates_from_scorecard(ctx.get("players", {}))
cand_bowlers = st.multiselect("Candidate Bowlers (next over)", options=bowlers, default=bowlers)
# Simple ‘recent form’ snapshot for striker
recent = striker_form_last_overs(sc, striker)
# Assemble context and call agent
run = st.button("🧠 Generate Strategy", type="primary")
if run:
sctx = StrategyContext(
match_title=match_row.get("title", "Unknown Match"),
phase=phase,
striker=striker,
non_striker=(batsmen[1] if len(batsmen) > 1 and batsmen[0] == striker else (batsmen[0] if batsmen else "")),
batting_team=batting_team,
bowling_team=bowling_team,
candidate_bowlers=cand_bowlers,
striker_recent=recent,
innings_state={
"score": ctx.get("score"),
"wickets": ctx.get("wickets"),
"overs": ctx.get("overs"),
"rr": ctx.get("rr"),
"crr": ctx.get("crr")
}
)
with st.spinner("Thinking with LLaMA-3 (Groq)…"):
plan = suggest_strategy(sctx)
st.markdown("### 📋 Strategy")
st.write(plan)
st.caption("Model: Groq • LLaMA-3 (fast inference)")
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