Initial Commit

backend/main.py

@@ -0,0 +1,69 @@
+import random
+from fastapi import FastAPI, Request
+from fastapi.responses import HTMLResponse
+from fastapi.templating import Jinja2Templates
+from pydantic import BaseModel
+
+app = FastAPI(title="MileageDraw")
+
+templates = Jinja2Templates(directory="templates")
+
+# Prize Probabilities:
+# 1st Prize: 20%
+# 2nd Prize: 30%
+# 3rd Prize: 50%
+PRIZES = [
+    {"rank": 1, "name": "1st Prize", "miles": 10000, "probability": 0.10},
+    {"rank": 2, "name": "2nd Prize", "miles": 5000, "probability": 0.30},
+    {"rank": 3, "name": "3rd Prize", "miles": 2000, "probability": 0.60},
+]
+
+class DrawResult(BaseModel):
+    rank: int
+    name: str
+    miles: int
+
+@app.get("/", response_class=HTMLResponse)
+async def index(request: Request):
+    return templates.TemplateResponse(
+        request=request, name="index.html"
+    )
+
+@app.post("/api/draw", response_model=DrawResult)
+async def draw_prize():
+    rand_val = random.random()
+    cumulative = 0.0
+    for prize in PRIZES:
+        cumulative += prize["probability"]
+        if rand_val <= cumulative:
+            return DrawResult(
+                rank=prize["rank"],
+                name=prize["name"],
+                miles=prize["miles"]
+            )
+    
+    # Fallback in case of floating point precision issues
+    last = PRIZES[-1]
+    return DrawResult(
+        rank=last["rank"],
+        name=last["name"],
+        miles=last["miles"]
+    )
+
+if __name__ == "__main__":
+    import uvicorn
+    uvicorn.run("main:app", host="0.0.0.0", port=10000, reload=True)
+
+# import random 
+# def sum(L, n):
+#     if n == 0:
+#         return L[0]
+#     else:
+#         return L[n] + sum(L, n-1)
+
+# L = [random.randint(1, 100) for _ in range(10)]
+# print(L)
+
+# s = sum(L, len(L)-1)
+# print(s)
+