fix(setup): restore security stamp filtering

CHANGELOG.md

@@ -36,7 +36,7 @@ This format follows Keep a Changelog principles and aims for Semantic Versioning
 - Preview performance CI check now waits for `/healthz` and retries theme catalog pagination fetches to dodge transient 500s during cold starts.
 
 ### Fixed
-- _No changes yet._
+- Setup filtering now applies security-stamp exclusions case-insensitively so Acorn and Heart promo cards stay out of Commander-legal pools, with a regression test covering the behavior.
 
 ### Removed
 - Preview performance GitHub Actions workflow (`.github/workflows/preview-perf-ci.yml`) retired after persistent cold-start failures; run the regression helper script manually as needed.

RELEASE_NOTES_TEMPLATE.md

@@ -1,31 +1,11 @@
 # MTG Python Deckbuilder ${VERSION}
 
 ## Summary
-- Introduced the Commander Browser with HTMX-powered pagination, theme surfacing, and direct Create Deck integration.
+- Restored setup filtering to exclude Acorn and Heart promotional security stamps so Commander card pools stay format-legal.
-- Shared color-identity macro and accessible theme chips power the new commander rows.
+- Added a regression test that locks the security stamp filtering behavior in place.
-- Manual QA walkthrough (desktop + mobile) recorded on 2025‑09‑30 with edge-case checks.
-- Home dashboard aligns its quick actions with feature flags, exposing Commanders, Diagnostics, Random, Logs, and Setup where enabled.
 
 ## Added
-- Commander browser skeleton page at `/commanders` with catalog-backed rows and accessible theme chips.
+- Regression test covering security-stamp filtering during setup to guard against future case-sensitivity regressions.
-- Documented QA checklist and results for the commander browser launch in `docs/qa/commander_browser_walkthrough.md`.
-- Shared color-identity macro for reusable mana dots across commander rows and other templates.
-- Home dashboard Commander/Diagnostics shortcuts gated by feature flags so all primary destinations have quick actions.
-- Manual QA pass entered into project docs (2025-09-30) outlining desktop, mobile, and edge-case validations.
-
-## Changed
-- Commander list paginates in 20-item pages, with navigation controls mirrored above and below the results and automatic scroll-to-top.
-- Commander hover preview shows card-only panel in browser context and removes the “+ more” overflow badge from theme chips.
-- Content Security Policy upgrade directive ensures HTMX pagination requests remain HTTPS-safe behind proxies.
-- Commander thumbnails adopt a fixed-width 160px frame (responsive on small screens) for consistent layout.
-- Commander browser now separates name vs theme search, adds fuzzy theme suggestions, and tightens commander name matching to near-exact results.
-- Commander search results stay put while filtering; typing no longer auto-scrolls the page away from the filter controls.
-- Commander theme chips are larger, wrap cleanly, and display an accessible summary dialog when tapped on mobile.
-- Theme dialogs now surface the full editorial description when available, improving longer summaries on small screens.
-- Commander theme names unescape leading punctuation (e.g., +2/+2 Counters) so labels render without stray backslashes.
-- Theme summary dialog also opens on desktop clicks, giving parity with mobile behavior.
-- Mobile commander rows now feature larger thumbnails and a centered preview modal with expanded card art for improved readability.
-- Preview performance CI check now waits for service health and retries catalog pagination fetches to smooth out transient 500s on cold boots.
 
 ## Fixed
-- Documented friendly handling for missing `commander_cards.csv` data during manual QA drills to prevent white-screen failures.
+- Setup filtering now applies security-stamp exclusions case-insensitively, preventing Acorn/Heart promo cards from entering Commander pools.

code/file_setup/setup_utils.py

@@ -194,13 +194,36 @@ def filter_dataframe(df: pd.DataFrame, banned_cards: List[str]) -> pd.DataFrame:
         filtered_df = df.copy()
         filter_config: FilterConfig = FILTER_CONFIG  # Type hint for configuration
         for field, rules in filter_config.items():
+            if field not in filtered_df.columns:
+                logger.warning('Skipping filter for missing field %s', field)
+                continue
+
             for rule_type, values in rules.items():
+                if not values:
+                    continue
+
                 if rule_type == 'exclude':
                     for value in values:
-                        filtered_df = filtered_df[~filtered_df[field].str.contains(value, na=False)]
+                        mask = filtered_df[field].astype(str).str.contains(
+                            value,
+                            case=False,
+                            na=False,
+                            regex=False
+                        )
+                        filtered_df = filtered_df[~mask]
                 elif rule_type == 'require':
                     for value in values:
-                        filtered_df = filtered_df[filtered_df[field].str.contains(value, na=False)]
+                        mask = filtered_df[field].astype(str).str.contains(
+                            value,
+                            case=False,
+                            na=False,
+                            regex=False
+                        )
+                        filtered_df = filtered_df[mask]
+                else:
+                    logger.warning('Unknown filter rule type %s for field %s', rule_type, field)
+                    continue
+
                 logger.debug(f'Applied {rule_type} filter for {field}: {values}')
         
         # Remove illegal sets

code/tests/test_setup_filters.py

@@ -0,0 +1,40 @@
+import pandas as pd
+
+from file_setup.setup_utils import filter_dataframe
+
+
+def _record(name: str, security_stamp: str) -> dict[str, object]:
+    return {
+        "name": name,
+        "faceName": name,
+        "edhrecRank": 100,
+        "colorIdentity": "G",
+        "colors": "G",
+        "manaCost": "{G}",
+        "manaValue": 1,
+        "type": "Creature",
+        "layout": "normal",
+        "text": "",
+        "power": "1",
+        "toughness": "1",
+        "keywords": "",
+        "side": "a",
+        "availability": "paper,arena",
+        "promoTypes": "",
+        "securityStamp": security_stamp,
+        "printings": "RNA",
+    }
+
+
+def test_filter_dataframe_removes_acorn_and_heart_security_stamps() -> None:
+    df = pd.DataFrame(
+        [
+            _record("Acorn Card", "Acorn"),
+            _record("Heart Card", "heart"),
+            _record("Legal Card", ""),
+        ]
+    )
+
+    filtered = filter_dataframe(df, banned_cards=[])
+
+    assert list(filtered["name"]) == ["Legal Card"]