diff --git a/hw1/app.py b/hw1/app.py
index 6107b87..478f748 100644
--- a/hw1/app.py
+++ b/hw1/app.py
@@ -1,4 +1,8 @@
+from http import HTTPStatus
 from typing import Any, Awaitable, Callable
+import json
+import math
+from urllib.parse import parse_qs
 
 
 async def application(
@@ -12,7 +16,202 @@ async def application(
         receive: Корутина для получения сообщений от клиента
         send: Корутина для отправки сообщений клиенту
     """
-    # TODO: Ваша реализация здесь
+    if scope["type"] == "lifespan":
+        while True:
+            message = await receive()
+            if message["type"] == "lifespan.startup":
+                await send({"type": "lifespan.startup.complete"})
+            elif message["type"] == "lifespan.shutdown":
+                await send({"type": "lifespan.shutdown.complete"})
+                return
+
+    path = scope["path"]
+    method = scope["method"]
+
+    query_string = scope.get("query_string").decode()
+    query_params = parse_qs(query_string)
+
+    body = b""
+    while True:
+        message = await receive()
+        if message["type"] == "http.request":
+            body += message.get("body")
+            if not message.get("more_body", False):
+                break
+
+    path_parts = [p for p in path.split("/") if p]
+
+    try:
+        if path == "/factorial" and method == "GET":
+            await handle_factorial(query_params, send)
+        elif len(path_parts) == 2 and path_parts[0] == "fibonacci" and method == "GET":
+            await handle_fibonacci(path_parts[1], send)
+        elif path == "/mean" and method == "GET":
+            await handle_mean(body, send)
+        else:
+            await send_response(send, HTTPStatus.NOT_FOUND, {"error": "Not found"})
+    except Exception as e:
+        await send_response(send, HTTPStatus.INTERNAL_SERVER_ERROR, {"error": str(e)})
+
+
+async def send_response(
+    send: Callable[[dict[str, Any]], Awaitable[None]],
+    status_code: int,
+    data: dict[str, Any],
+):
+    """Отправляет JSON ответ"""
+    response_body = json.dumps(data).encode()
+
+    await send({
+        "type": "http.response.start",
+        "status": status_code,
+        "headers": [
+            [b"content-type", b"application/json"],
+            [b"content-length", str(len(response_body)).encode()],
+        ],
+    })
+
+    await send({
+        "type": "http.response.body",
+        "body": response_body,
+    })
+
+
+async def handle_factorial(
+    query_params: dict[str, list[str]],
+    send: Callable[[dict[str, Any]], Awaitable[None]],
+):
+    if "n" not in query_params:
+        await send_response(
+            send,
+            HTTPStatus.UNPROCESSABLE_ENTITY,
+            {"error": "Parameter 'n' is required"},
+        )
+        return
+
+    value = query_params["n"][0]
+
+    try:
+        n = int(value)
+    except (ValueError, TypeError):
+        await send_response(
+            send,
+            HTTPStatus.UNPROCESSABLE_ENTITY,
+            {"error": "Parameter 'n' must be an integer"},
+        )
+        return
+
+    if n < 0:
+        await send_response(
+            send,
+            HTTPStatus.BAD_REQUEST,
+            {"error": "Parameter 'n' must be non-negative"},
+        )
+        return
+
+    if n > 1000:
+        await send_response(
+            send,
+            HTTPStatus.BAD_REQUEST,
+            {"error": "Parameter 'n' is too large"},
+        )
+        return
+
+    result = math.factorial(n)
+    await send_response(send, HTTPStatus.OK, {"result": result})
+
+
+async def handle_fibonacci(
+    n_str: str,
+    send: Callable[[dict[str, Any]], Awaitable[None]],
+):
+    try:
+        n = int(n_str)
+    except (ValueError, TypeError):
+        await send_response(
+            send,
+            HTTPStatus.UNPROCESSABLE_ENTITY,
+            {"error": "Invalid integer"},
+        )
+        return
+
+    if n < 0:
+        await send_response(
+            send,
+            HTTPStatus.BAD_REQUEST,
+            {"error": "Parameter 'n' must be non-negative"},
+        )
+        return
+
+    if n > 10000:
+        await send_response(
+            send,
+            HTTPStatus.BAD_REQUEST,
+            {"error": "Parameter 'n' is too large"},
+        )
+        return
+
+    if n <= 1:
+        result = n
+    else:
+        a, b = 0, 1
+        for _ in range(2, n + 1):
+            a, b = b, a + b
+        result = b
+
+    await send_response(send, HTTPStatus.OK, {"result": result})
+
+
+async def handle_mean(
+    body: bytes,
+    send: Callable[[dict[str, Any]], Awaitable[None]],
+):
+    if not body:
+        await send_response(
+            send,
+            HTTPStatus.UNPROCESSABLE_ENTITY,
+            {"error": "Body is required"},
+        )
+        return
+
+    try:
+        data = json.loads(body)
+    except json.JSONDecodeError:
+        await send_response(
+            send,
+            HTTPStatus.UNPROCESSABLE_ENTITY,
+            {"error": "Invalid JSON"},
+        )
+        return
+
+    if data is None:
+        await send_response(
+            send,
+            HTTPStatus.UNPROCESSABLE_ENTITY,
+            {"error": "Body is required"},
+        )
+        return
+
+    if not isinstance(data, list) or len(data) == 0:
+        await send_response(
+            send,
+            HTTPStatus.BAD_REQUEST,
+            {"error": "Body must be a non-empty list"},
+        )
+        return
+
+    for item in data:
+        if not isinstance(item, (int, float)) or isinstance(item, bool):
+            await send_response(
+                send,
+                HTTPStatus.BAD_REQUEST,
+                {"error": "All items must be numbers"},
+            )
+            return
+
+    result = sum(data) / len(data)
+    await send_response(send, HTTPStatus.OK, {"result": result})
+
 
 if __name__ == "__main__":
     import uvicorn