feat: add hello world endpoint with embedding and introduce plot endpoint

src/modules/api/routes/v1.py

@@ -1,17 +1,21 @@
 """API v1 route handlers."""
 
-from fastapi import APIRouter
+from fastapi import APIRouter, Response
 from typing import Dict, List
 from src.modules.transporter import publish_message
-
+from src.modules.models.index import embed_text
+import io
 # Create v1 router
 router = APIRouter(prefix='/v1', tags=['v1'])
+import matplotlib.pyplot as plt
 
 @router.get("/hello")
-async def hello_world() -> Dict[str, str]:
+async def hello_world():
     """Hello world endpoint."""
     publish_message("hello-python", "Hello from FastAPI!")
-    return {"message": "Hello, World!"}
+    embed = embed_text("Hello, world!")
+    print(f"Generated embedding: {embed}")
+    return {"message": "Hello, reloaded!", "embedding": list(embed)}
 
 @router.get("/health")
 async def health_check() -> Dict[str, str]:
@@ -25,3 +29,24 @@ async def metrics() -> Dict[str, int]:
         "total_routes": len(router.routes),
         "api_version": 1
     }
+
+@router.get("/plot")
+async def get_plot():
+    # Tạo biểu đồ
+    plt.figure(figsize=(6, 4))
+    x = [1, 2, 3, 4, 5]
+    y = [i ** 2 for i in x]
+    plt.plot(x, y, label="y = x^2")
+    plt.title("Sample Plot")
+    plt.xlabel("x")
+    plt.ylabel("y")
+    plt.legend()
+
+    # Lưu vào buffer
+    buf = io.BytesIO()
+    plt.savefig(buf, format="png")
+    plt.close()
+    buf.seek(0)
+
+    # Trả về dưới dạng ảnh PNG
+    return Response(content=buf.getvalue(), media_type="image/png")

src/modules/models/index.py

@@ -0,0 +1,10 @@
+
+from sentence_transformers import SentenceTransformer
+
+# Load embedding model once when the server starts
+model = SentenceTransformer("all-MiniLM-L6-v2")
+
+def embed_text(req):
+    embedding = model.encode(req).tolist()
+    return embedding
+