Upgrade python version

Dockerfile

@@ -1,4 +1,6 @@
-FROM python:3.12-slim AS requirements-stage
+ARG PYTHON_VERSION=3.14
+
+FROM python:${PYTHON_VERSION}-slim AS requirements-stage
 WORKDIR /tmp
 
 RUN pip install poetry==1.8.2
@@ -12,7 +14,7 @@ COPY ./pyproject.toml ./poetry.lock* /tmp/
 
 RUN poetry export -f requirements.txt --output requirements.txt --without-hashes --with dev --without metrics
 
-FROM python:3.12-slim AS build-stage
+FROM python:${PYTHON_VERSION}-slim AS build-stage
 WORKDIR /app
 RUN apt update && apt install -y --no-install-recommends make
 

docker-compose.yaml

@@ -1,7 +1,10 @@
 services:
   web:
     container_name: welearn-api
-    build: .
+    build:
+      context: .
+      args:
+        PYTHON_VERSION: ${PYTHON_VERSION:-3.14}
     command: uvicorn src.main:app --host 0.0.0.0
     network_mode: host
     volumes:

pyproject.toml

@@ -7,7 +7,7 @@ readme = "README.md"
 package-mode = false
 
 [tool.poetry.dependencies]
-python = ">=3.10,<3.13"
+python = ">=3.12,<3.15"
 azure-core = "^1.38.0"
 backoff = "^2.2.1"
 ecologits = "^0.5.2"
@@ -25,14 +25,14 @@ requests = "^2.32.4"
 scikit-learn = "^1.5.1"
 sqlalchemy = "^2.0.35"
 transformers="^4.50.0"
-torch = {version = "^2.2.2+cpu", source = "pytorch_cpu"}
-torchvision = {version = "^0.17.2+cpu", source = "pytorch_cpu"}
+torch = {version = "2.9.1+cpu", source = "pytorch_cpu"}
+torchvision = {version = "0.24.1+cpu", source = "pytorch_cpu"}
 uvicorn = {extras = ["standard"], version = "^0.29.0"}
 autogen-core = "^0.5.7"
 autogen-ext = "^0.5.7"
 autogen-agentchat = "^0.5.7"
 pypdf = "^6.6.0"
-numpy = "^1.26.4"
+numpy = "^2.1.0"
 python-docx = "^1.1.2"
 langchain-core = "^1.3.2"
 langgraph-checkpoint-postgres = "^2.0.23"
@@ -51,7 +51,7 @@ langchain-mistralai = "^1.1.2"
 langchain-azure-ai = "^1.2.3"
 langgraph = "^1.1.10"
 mistralai = "^2.4.3"
-langsmith = "^0.9.3"
+langsmith = "^0.10.11"
 
 [tool.poetry.group.dev.dependencies]
 pytest = "^7.4.0"

src/app/services/sql_db/sql_service.py

@@ -33,5 +33,6 @@ def _create_session(self):
         return Session
 
 
-wl_sql = WL_SQL()
-session_maker = wl_sql.session_maker
+def session_maker():
+    # Defer DB engine creation until a session is actually needed.
+    return WL_SQL().session_maker()

src/app/shared/infra/tracing.py

@@ -1,6 +1,5 @@
 from enum import Enum
 
-
 TRACE_RUN_TYPE_LLM = "llm"
 
 

src/app/tests/services/test_abst_chat.py

@@ -133,6 +133,7 @@ async def test_get_new_questions(self):
         with mock.patch.object(
             self.chat, "_detect_language", new_callable=mock.AsyncMock
         ) as mock_detect_lang:
+            mock_detect_lang.return_value = {"ISO_CODE": "en"}
             self.chat.chat_client.completion = mock.AsyncMock(
                 return_value="%%Question 1?%% Question 2?%%",
             )
@@ -145,7 +146,7 @@ async def test_get_new_questions(self):
 
     async def test_rephrase_message_stream_false(self):
         self.chat.chat_client.completion = mock.AsyncMock()
-        self.chat.chat_client.completion_stream = mock.AsyncMock()
+        self.chat.chat_client.completion_stream = mock.Mock()
         await self.chat.rephrase_message(
             message="this is the user query", history=[], docs=[], subject="default"
         )
@@ -154,7 +155,7 @@ async def test_rephrase_message_stream_false(self):
 
     async def test_rephrase_message_stream_true(self):
         self.chat.chat_client.completion = mock.AsyncMock()
-        self.chat.chat_client.completion_stream = mock.AsyncMock()
+        self.chat.chat_client.completion_stream = mock.AsyncMock(return_value=iter(()))
         await self.chat.rephrase_message(
             message="this is the user query",
             history=[],

src/app/tests/services/test_pdf_extractor.py

@@ -32,7 +32,7 @@ class TestPDFExtractorAsync(unittest.IsolatedAsyncioTestCase):
     async def test_send_pdf_to_tika(self, mock_get_client):
         # Mock du client HTTPX asynchrone
         mock_client = AsyncMock()
-        mock_response = AsyncMock()
+        mock_response = Mock()
         mock_response.json = Mock(
             return_value={"X-TIKA:content": "<html>Mock Content</html>"}
         )