feat: implement BarChart for MVP

analysis.py

@@ -6,8 +6,9 @@ from fastapi.responses import JSONResponse
 from pydantic import BaseModel, Field
 from sqlmodel import Session, func, select
 from sqlmodel.sql.expression import SelectOfScalar
-from db import Chemistry, Player, engine
+from db import Chemistry, MVPRanking, Player, engine
 import networkx as nx
+import numpy as np
 import matplotlib
 
 matplotlib.use("agg")
@@ -18,6 +19,7 @@ analysis_router = APIRouter(prefix="/analysis")
 
 
 C = Chemistry
+R = MVPRanking
 P = Player
 
 
@@ -192,9 +194,31 @@ async def render_sociogram(params: Params):
     return {"image": encoded_image}
 
 
+def mvp():
+    ranks = dict()
+    with Session(engine) as session:
+        subquery = (
+            select(R.user, func.max(R.time).label("latest"))
+            .where(R.time > datetime(2025, 2, 8))
+            .group_by(R.user)
+            .subquery()
+        )
+        statement2 = select(R).join(
+            subquery, (R.user == subquery.c.user) & (R.time == subquery.c.latest)
+        )
+        for r in session.exec(statement2):
+            for i, p in enumerate(r.mvps):
+                ranks[p] = ranks.get(p, []) + [i + 1]
+    return [
+        {"name": p, "rank": f"{np.mean(v):.02f}", "std": f"{np.std(v):.02f}"}
+        for p, v in ranks.items()
+    ]
+
+
 analysis_router.add_api_route("/json", endpoint=sociogram_json, methods=["GET"])
 analysis_router.add_api_route("/graph_json", endpoint=graph_json, methods=["GET"])
 analysis_router.add_api_route("/image", endpoint=render_sociogram, methods=["POST"])
+analysis_router.add_api_route("/mvp", endpoint=mvp, methods=["GET"])
 
 if __name__ == "__main__":
     with Session(engine) as session: