Files
lasuite-docs/src/backend/core/middleware.py
T
Manuel RaynaudandAnthony LC 8ce216f6e8 (backend) use pydantic AI to manage vercel data stream protocol
The frontend application is using Vercel AI SDK and it's data stream
protocol. We decided to use the pydantic AI library to use it's vercel
ai adapter. It will make the payload validation, use AsyncIterator and
deal with vercel specification.
2026-02-26 09:52:33 +01:00

40 lines
1.1 KiB
Python

"""Force session creation for all requests."""
class ForceSessionMiddleware:
"""
Force session creation for unauthenticated users.
Must be used after Authentication middleware.
"""
def __init__(self, get_response):
"""Initialize the middleware."""
self.get_response = get_response
def __call__(self, request):
"""Force session creation for unauthenticated users."""
if not request.user.is_authenticated and request.session.session_key is None:
request.session.create()
response = self.get_response(request)
return response
class SaveRawBodyMiddleware:
"""
Save the raw request body to use it later.
"""
def __init__(self, get_response):
"""Initialize the middleware."""
self.get_response = get_response
def __call__(self, request):
"""Save the raw request body in the request to use it later."""
if request.path.endswith(("/ai-proxy/", "/ai-proxy")):
request.raw_body = request.body
response = self.get_response(request)
return response