RF-Slice 1: ResolutionFarming-Modul-Skelett + geldkritische pure Logik + Tests

Neues Strategiemodul PolyTrader.Modules.ResolutionFarming (IPolyTraderModule, Name=ResolutionFarming, DbPrefix=rf_), in Solution/App/Tests + beide Modul-Listen in Program.cs eingebunden. Skelett laedt (RegisterServices/UI noch no-op). Geldkritische Entscheidungslogik pur und vollstaendig unit-getestet: - FarmingRiskEngine: Netto-Edge nach Fees (NetEdge/NetEdgePct/HasEdge), Positionsgroesse unter Markt-/Cluster-/Gesamt-Exposure-Limits (AllowedPositionUsd), Kill-Switch, Tages-Drossel. - FarmingScanner: Preisband, Kategorie-Whitelist, Blacklist, Cluster-Key (korrelierte Favoriten teilen einen Cluster), Kandidaten-Score. - FarmingFillModel: Shares fuer Budget (2-Dezimal-Floor), Resolve-PnL (Auszahlung - Kosten - Entry-Fee, Maker/Taker), Einstiegskosten inkl. Fee. Nutzt Core.FeeModel. - RfSettings (rf_settings) mit konservativen Defaults + PropertyGrid-Attributen. 39 neue Tests. Build 0 Fehler, 283 Tests gruen, --smoke-ui ok. Persistenz (DbContext/Migration/Repos), Scanner-/Monitor-Jobs, Execution und UI folgen. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-09 21:43:34 +02:00
parent 2f5270a2f3
commit c9eb11afe4
13 changed files with 570 additions and 2 deletions
@@ -0,0 +1,60 @@
+using PolyTrader.Modules.ResolutionFarming.Logic;
+using Xunit;
+using static PolyTrader.Modules.ResolutionFarming.Logic.FarmingScanner;
+
+namespace PolyTrader.Tests
+{
+    /// <summary>Sicherheitsnetz für die Scanner-Filter (Preisband, Kategorie, Blacklist, Cluster-Key, Score).</summary>
+    public class FarmingScannerTests
+    {
+        [Theory]
+        [InlineData(0.90, 0.90, 0.98, true)]   // untere Grenze inkl.
+        [InlineData(0.98, 0.90, 0.98, true)]   // obere Grenze inkl.
+        [InlineData(0.89, 0.90, 0.98, false)]
+        [InlineData(0.99, 0.90, 0.98, false)]
+        public void InPriceBand_is_inclusive(double ask, double min, double max, bool expected)
+        {
+            Assert.Equal(expected, InPriceBand((decimal)ask, (decimal)min, (decimal)max));
+        }
+
+        [Theory]
+        [InlineData("Sports", "Sports,Politics", true)]
+        [InlineData("sports", "Sports,Politics", true)]     // case-insensitiv
+        [InlineData("Crypto", "Sports,Politics", false)]
+        [InlineData("Sports", "", true)]                    // leere Whitelist = alles
+        [InlineData("", "Sports,Politics", false)]          // leere Kategorie
+        public void CategoryAllowed_matches_whitelist(string category, string whitelist, bool expected)
+        {
+            Assert.Equal(expected, CategoryAllowed(category, whitelist));
+        }
+
+        [Theory]
+        [InlineData("us-election-dispute", null, "dispute,uma", true)]
+        [InlineData("nfl-week1", "sports,nfl", "uma", false)]
+        [InlineData("anything", null, "", false)]           // leere Blacklist
+        public void IsBlacklisted_matches_slug_or_tags(string slug, string? tags, string blacklist, bool expected)
+        {
+            Assert.Equal(expected, IsBlacklisted(slug, tags, blacklist));
+        }
+
+        [Fact]
+        public void ClusterKey_prefers_event_slug_then_market_slug()
+        {
+            Assert.Equal("epl-2026-03-14", ClusterKey("EPL-2026-03-14", "arsenal-win"));
+            Assert.Equal("arsenal-win", ClusterKey(null, "Arsenal-Win"));
+            Assert.Equal("arsenal-win", ClusterKey("  ", "arsenal-win"));
+            Assert.Equal("", ClusterKey(null, null));
+        }
+
+        [Fact]
+        public void Score_increases_with_edge_and_earlier_resolution()
+        {
+            // mehr Edge -> höherer Score
+            Assert.True(Score(5m, 24) > Score(2m, 24));
+            // frühere Auflösung -> höherer Score (Bindungsbonus)
+            Assert.True(Score(3m, 1) > Score(3m, 40));
+            // negativer Edge zählt als 0, aber Zeitbonus bleibt >= 0
+            Assert.True(Score(-5m, 10) >= 0m);
+        }
+    }
+}