From 27a3f3285c7812b0ab61d9d53d87022e5eca24e3 Mon Sep 17 00:00:00 2001
From: ramseshk <45832522+ramseshk@users.noreply.github.com>
Date: Tue, 11 Aug 2026 16:32:12 +0800
Subject: [PATCH] Fix GRIDLINE import error in auction page + add auction
 contingency plan

- Added missing GRIDLINE import to auction page template imports
- New contingency section: per-role backup targets if bids are missed
- Shows up to 12 backup players per role with FV, estimated price, games
- xG values note: synthetic from FBref data (real xG blocked by Cloudflare)
---
 dashboard/pages/03_auction.py | 26 +++++++++++++++++++++++++-
 1 file changed, 25 insertions(+), 1 deletion(-)

diff --git a/dashboard/pages/03_auction.py b/dashboard/pages/03_auction.py
index 04f9078..d11c554 100644
--- a/dashboard/pages/03_auction.py
+++ b/dashboard/pages/03_auction.py
@@ -15,7 +15,7 @@ from dashboard.viz.components import inject_css, section, insight, role_chip, kp
 from dashboard.viz.charts import budget_waterfall, value_scatter
 from dashboard.viz.template import (
     PITCH_GREEN, GOLD, RED, SKY, VIOLET, BG, CARD_BG, BORDER, TEXT_SECONDARY,
-    WHITE, FANTABETO_TEMPLATE, HEATMAP_COLORS, ROLE_COLORS, ROLE_ICONS,
+    WHITE, FANTABETO_TEMPLATE, HEATMAP_COLORS, ROLE_COLORS, ROLE_ICONS, GRIDLINE,
 )
 
 AUCTION_PLAN = Path(__file__).resolve().parent.parent.parent / "data" / "auction_plan_al_cihred.xlsx"
@@ -214,6 +214,30 @@ def run():
         fig = value_scatter(players)
         st.plotly_chart(fig, width="stretch")
 
+    # ── Contingency Plan ────
+    st.divider()
+    section("🔄 Contingency — If You Miss a Target", "Backup players ranked by projected FV per role.")
+
+    if proj is not None:
+        role_names = {"P": ("🧤 Goalkeepers", 3), "D": ("🛡 Defenders", 8),
+                      "C": ("⚙ Midfielders", 8), "A": ("⚡ Forwards", 6)}
+        for role, (label, quota) in role_names.items():
+            already = {s["player"] for s in squad if s["role"] == role}
+            backups = proj[(proj["role"] == role) & ~proj["player"].isin(already)].nlargest(quota * 2, "fv_proj")
+            if backups.empty:
+                continue
+            st.markdown(f"**{label}** — backup targets:", unsafe_allow_html=False)
+            cols = st.columns(min(4, len(backups)))
+            for j, (_, b) in enumerate(backups.head(12).iterrows()):
+                with cols[j % 4]:
+                    price = b.get("price", b.get("qi", 10) * 3) if "price" in b.index else b.get("qi", 10) * 2
+                    st.markdown(
+                        f'{role_chip(b["role"])} **{b["player"]}** ({b["team"]})<br>'
+                        f'<span style="font-size:13px;">FV: {b["fv_proj"]:.2f} · ~{price:.0f} cr · '
+                        f'{int(b.get("games",0))}gms</span>',
+                        unsafe_allow_html=True,
+                    )
+
     # ── Methodology ──
     st.divider()
     with st.expander("⚙️ Methodology — How this squad was computed"):