leaderboard: set VIDraft as primary (display+aggregation key), FINAL-Bench 2nd, GINIGEN accounts last; strict author prefix match

src/utils/calendar.ts

@@ -1,85 +1,85 @@
-import {
-  ModelData,
-  ProviderInfo,
-  CalendarData,
-  Activity,
-} from "../types/heatmap";
-
-export const generateCalendarData = (
-  modelData: ModelData[],
-  providers: ProviderInfo[]
-): CalendarData => {
-  const data: Record<string, Activity[]> = Object.fromEntries(
-    providers.map((provider) => [provider.authors[0], []]),
-  );
-
-  const today = new Date();
-
-  // Calculate the first date to display GitHub-style:
-  // 1. Go back 52 weeks (364 days) from today so we cover the last year.
-  // 2. Shift further back to the previous Sunday (if necessary) so that
-  //    the first column of the heatmap always begins on a Sunday.
-  const startDate = new Date(today);
-  startDate.setDate(startDate.getDate() - 364);
-  
-  const dayOfWeek = startDate.getDay();
-  startDate.setDate(startDate.getDate() - dayOfWeek);
-
-  // create a map to store counts for each provider and date
-  const countMap: Record<string, Record<string, number>> = {};
-
-  modelData.forEach((item) => {
-    const dateString = item.createdAt.split("T")[0];
-    providers.forEach(({ authors }) => {
-      if (authors.some((author) => item.id.startsWith(author))) {
-        countMap[authors[0]] = countMap[authors[0]] || {};
-        countMap[authors[0]][dateString] =
-          (countMap[authors[0]][dateString] || 0) + 1;
-      }
-    });
-  });
-
-  // fill in with 0s for days with no activity
-  for (let d = new Date(startDate); d <= today; d.setDate(d.getDate() + 1)) {
-    const dateString = d.toISOString().split("T")[0];
-
-    providers.forEach(({ authors }) => {
-      const count = countMap[authors[0]]?.[dateString] || 0;
-      data[authors[0]].push({ date: dateString, count, level: 0 });
-    });
-  }
-
-  // calculate average counts for each provider
-  const avgCounts = Object.fromEntries(
-    Object.entries(data).map(([provider, days]) => [
-      provider,
-      days.reduce((sum, day) => sum + day.count, 0) / days.length || 0,
-    ]),
-  );
-
-  const calculateLevel = (count: number, avgCount: number): number => {
-    if (count === 0) {
-      return 0;
-    }
-    if (count <= avgCount * 0.5) {
-      return 1;
-    }
-    if (count <= avgCount) {
-      return 2;
-    }
-    if (count <= avgCount * 1.5) {
-      return 3;
-    }
-    return 4;
-  };
-
-  // assign levels based on count relative to average
-  Object.entries(data).forEach(([provider, days]) => {
-    const avgCount = avgCounts[provider];
-    for (const day of days) {
-      day.level = calculateLevel(day.count, avgCount);
-    }
-  });
-
-  return data;
-};
+import {
+  ModelData,
+  ProviderInfo,
+  CalendarData,
+  Activity,
+} from "../types/heatmap";
+
+export const generateCalendarData = (
+  modelData: ModelData[],
+  providers: ProviderInfo[]
+): CalendarData => {
+  const data: Record<string, Activity[]> = Object.fromEntries(
+    providers.map((provider) => [provider.authors[0], []]),
+  );
+
+  const today = new Date();
+
+  // Calculate the first date to display GitHub-style:
+  // 1. Go back 52 weeks (364 days) from today so we cover the last year.
+  // 2. Shift further back to the previous Sunday (if necessary) so that
+  //    the first column of the heatmap always begins on a Sunday.
+  const startDate = new Date(today);
+  startDate.setDate(startDate.getDate() - 364);
+  
+  const dayOfWeek = startDate.getDay();
+  startDate.setDate(startDate.getDate() - dayOfWeek);
+
+  // create a map to store counts for each provider and date
+  const countMap: Record<string, Record<string, number>> = {};
+
+  modelData.forEach((item) => {
+    const dateString = item.createdAt.split("T")[0];
+    providers.forEach(({ authors }) => {
+      if (authors.some((author) => item.id.startsWith(author + "/"))) {
+        countMap[authors[0]] = countMap[authors[0]] || {};
+        countMap[authors[0]][dateString] =
+          (countMap[authors[0]][dateString] || 0) + 1;
+      }
+    });
+  });
+
+  // fill in with 0s for days with no activity
+  for (let d = new Date(startDate); d <= today; d.setDate(d.getDate() + 1)) {
+    const dateString = d.toISOString().split("T")[0];
+
+    providers.forEach(({ authors }) => {
+      const count = countMap[authors[0]]?.[dateString] || 0;
+      data[authors[0]].push({ date: dateString, count, level: 0 });
+    });
+  }
+
+  // calculate average counts for each provider
+  const avgCounts = Object.fromEntries(
+    Object.entries(data).map(([provider, days]) => [
+      provider,
+      days.reduce((sum, day) => sum + day.count, 0) / days.length || 0,
+    ]),
+  );
+
+  const calculateLevel = (count: number, avgCount: number): number => {
+    if (count === 0) {
+      return 0;
+    }
+    if (count <= avgCount * 0.5) {
+      return 1;
+    }
+    if (count <= avgCount) {
+      return 2;
+    }
+    if (count <= avgCount * 1.5) {
+      return 3;
+    }
+    return 4;
+  };
+
+  // assign levels based on count relative to average
+  Object.entries(data).forEach(([provider, days]) => {
+    const avgCount = avgCounts[provider];
+    for (const day of days) {
+      day.level = calculateLevel(day.count, avgCount);
+    }
+  });
+
+  return data;
+};