Spaces:
Sleeping
Sleeping
Timo
commited on
Commit
·
df1e49f
1
Parent(s):
7d4c042
Helpers
Browse files- src/streamlit_app.py +115 -73
src/streamlit_app.py
CHANGED
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"""
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MTG Draft Assistant Streamlit App
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*
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Replace the three stub functions (`load_model`, `suggest_pick`,
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`generate_booster`) with your real model-/API-calls when you are ready.
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"""
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from __future__ import annotations
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import os
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import random
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from pathlib import Path
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from typing import Dict, List
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import streamlit as st
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# -----------------------------------------------------------------------------
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#
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# -----------------------------------------------------------------------------
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WOE
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LCI
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MKM
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"""
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if path.is_file():
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return [ln.strip() for ln in path.read_text().splitlines() if ln.strip()]
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return []
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# -----------------------------------------------------------------------------
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# 1. Model
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# -----------------------------------------------------------------------------
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@st.cache_resource(show_spinner="Loading draft model …")
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def load_model():
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mode and will pick random cards.
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"""
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model = load_model()
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# -----------------------------------------------------------------------------
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# 2. Draft
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# -----------------------------------------------------------------------------
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def suggest_pick(pack: List[Dict], picks: List[Dict]) -> Dict:
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"""Return the card the model recommends from *pack*."""
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if model is None:
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return random.choice(pack)
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return model.predict(pack=pack, picks=picks) # type: ignore[attr-defined]
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def fetch_card_image(card_name: str) -> str:
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"""Fetch card art URL from Scryfall (normal size)."""
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r = requests.get(
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"https://api.scryfall.com/cards/named",
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)
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r.raise_for_status()
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data = r.json()
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def generate_booster(set_code: str) -> List[Dict]:
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"""Return a pseudo-random 15-card booster using Scryfall search."""
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url = f"https://api.scryfall.com/cards/search?q=set%3A{set_code}+is%3Abooster+unique%3Aprints"
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cards: List[Dict] = []
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while url:
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url = payload.get("next_page") if payload.get("has_more") else None
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return random.sample(cards, 15)
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# -----------------------------------------------------------------------------
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# 3. Streamlit UI
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# -----------------------------------------------------------------------------
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st.title("🃏 MTG Draft Assistant")
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#
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with st.sidebar:
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st.header("Draft setup")
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supported_sets = get_supported_sets()
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st.
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#
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st.session_state.setdefault("pack", [])
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st.session_state.setdefault("picks", [])
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st.info("Choose **Start new draft** in the sidebar to open pack 1.")
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st.stop()
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picks: List[Dict] = st.session_state["picks"]
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suggested = suggest_pick(pack, picks)
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picks
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"""
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MTG Draft Assistant Streamlit App
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---------------------------------
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Booster‑draft helper for Magic: The Gathering, built with Streamlit and ready
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for Hugging Face Spaces deployment.
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🆕 UI tweaks in this revision
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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* **Set selection is now hidden** in an *expander* inside the sidebar—keeps the
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layout clean.
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* Added a **second tab – “Card rankings”**. When you pick a set, the tab shows a
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(stub) ranked list of cards from that set. Replace the `rank_cards()` stub
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with real logic later.
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"""
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from __future__ import annotations
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import random
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from pathlib import Path
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from typing import Dict, List
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import streamlit as st
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# -----------------------------------------------------------------------------
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# Disable telemetry write‑outs (avoids PermissionError: /.streamlit on Spaces)
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# -----------------------------------------------------------------------------
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try:
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from streamlit.runtime.metrics_util import disable_gather_usage_stats
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disable_gather_usage_stats()
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except Exception:
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st.set_option("browser.gatherUsageStats", False)
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# -----------------------------------------------------------------------------
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# 0. Constants & helpers
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# -----------------------------------------------------------------------------
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SUPPORTED_SETS_PATH = Path("supported_sets.txt")
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@st.cache_data(show_spinner="Reading supported sets …")
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def get_supported_sets(path: Path = SUPPORTED_SETS_PATH) -> List[str]:
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"""Return a list of legal set codes read from *supported_sets.txt*."""
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if path.is_file():
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return [ln.strip() for ln in path.read_text().splitlines() if ln.strip()]
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return []
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# -----------------------------------------------------------------------------
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# 1. Model & ranking stubs
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# -----------------------------------------------------------------------------
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@st.cache_resource(show_spinner="Loading draft model …")
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def load_model():
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# 🔄 Replace with your own pipeline or `hf_hub_download` call
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return None
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@st.cache_data(show_spinner="Calculating card rankings …")
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def rank_cards(set_code: str) -> List[Dict]:
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"""Return a stubbed ranking list for *set_code*.
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Replace with your real evaluation logic. For now we just pull 30 random
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commons from the set and assign a dummy score.
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"""
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url = f"https://api.scryfall.com/cards/search?q=set%3A{set_code}+unique%3Aprints+is%3Acommon"
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cards: List[Dict] = []
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while url and len(cards) < 60: # cap network use
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r = requests.get(url)
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r.raise_for_status()
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payload = r.json()
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cards += payload["data"]
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url = payload.get("next_page") if payload.get("has_more") else None
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sample = random.sample(cards, k=min(30, len(cards))) if cards else []
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ranked = [
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{"name": c["name"], "score": round(random.random(), 2)} for c in sample
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]
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ranked.sort(key=lambda x: x["score"], reverse=True)
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return ranked
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model = load_model()
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# -----------------------------------------------------------------------------
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# 2. Draft‑logic helpers (stubs)
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# -----------------------------------------------------------------------------
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def suggest_pick(pack: List[Dict], picks: List[Dict]) -> Dict:
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if model is None:
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return random.choice(pack)
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return model.predict(pack=pack, picks=picks) # type: ignore[attr-defined]
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def fetch_card_image(card_name: str) -> str:
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r = requests.get(
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"https://api.scryfall.com/cards/named",
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params={"exact": card_name, "format": "json"},
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)
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r.raise_for_status()
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data = r.json()
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def generate_booster(set_code: str) -> List[Dict]:
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url = f"https://api.scryfall.com/cards/search?q=set%3A{set_code}+is%3Abooster+unique%3Aprints"
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cards: List[Dict] = []
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while url:
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url = payload.get("next_page") if payload.get("has_more") else None
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return random.sample(cards, 15)
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# -----------------------------------------------------------------------------
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# 3. Streamlit UI
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# -----------------------------------------------------------------------------
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st.title("🃏 MTG Draft Assistant")
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# -------- Sidebar ------------------------------------------------------------
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with st.sidebar:
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st.header("Draft setup")
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supported_sets = get_supported_sets()
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# Hide control in an expander (collapsed by default)
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with st.expander("Set selection", expanded=False):
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if supported_sets:
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set_code = st.radio("Choose a set to draft", supported_sets, index=0)
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else:
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st.warning(
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"*supported_sets.txt* not found or empty. Using free‑text input instead.",
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icon="⚠️",
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)
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set_code = st.text_input("Set code", value="WOE")
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if st.button("Start new draft", type="primary"):
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st.session_state["pack"] = generate_booster(set_code)
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st.session_state["picks"] = []
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# -------- Session state ------------------------------------------------------
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st.session_state.setdefault("pack", [])
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st.session_state.setdefault("picks", [])
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# -------- Main content organised in tabs ------------------------------------
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tabs = st.tabs(["Draft", "Card rankings"])
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# --- Tab 1: Draft ------------------------------------------------------------
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with tabs[0]:
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if not st.session_state["pack"]:
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st.info("Choose **Start new draft** in the sidebar to open pack 1.")
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else:
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pack: List[Dict] = st.session_state["pack"]
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picks: List[Dict] = st.session_state["picks"]
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st.subheader(f"Pack {len(picks) // 15 + 1} — Pick {len(picks) % 15 + 1}")
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suggested = suggest_pick(pack, picks)
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st.success(f"**Model suggests:** {suggested['name']}")
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cols = st.columns(5)
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for idx, card in enumerate(pack):
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col = cols[idx % 5]
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col.image(fetch_card_image(card["name"]), use_column_width=True)
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if col.button(f"Pick {card['name']}", key=f"pick-{idx}"):
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picks.append(card)
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pack.remove(card)
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if not pack: # end of pack ⇒ open a fresh booster
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st.session_state["pack"] = generate_booster(set_code)
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st.experimental_rerun()
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with st.expander("Current picks", expanded=False):
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st.write("\n".join([c["name"] for c in picks]))
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# --- Tab 2: Card rankings ----------------------------------------------------
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with tabs[1]:
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st.header("Card rankings for set " + set_code)
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if set_code:
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ranking = rank_cards(set_code)
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if ranking:
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for idx, card in enumerate(ranking, start=1):
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st.write(f"{idx}. {card['name']} — **{card['score']:.2f}**")
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else:
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st.info("No cards found for this set (or Scryfall unavailable).")
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else:
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st.info("Select a set in the sidebar to view rankings.")
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