chore: Update CI workflow to include email-validator for Pydantic email validation

This commit modifies the CI workflow to install the email-validator package as part of the Pydantic dependencies. This addition enhances email validation capabilities within the application, ensuring that email addresses are properly validated during processing.

.gitea/workflows/ci.yml

@@ -443,7 +443,8 @@ jobs:
           # Use venv's pip and python directly (avoids shell activation issues)
           # Install core dependencies including numpy and pillow (needed for module-level imports)
           # Skip heavy ML dependencies (tensorflow, deepface, opencv) for faster builds
-          /tmp/backend-venv/bin/pip install --no-cache-dir fastapi uvicorn pydantic sqlalchemy psycopg2-binary redis rq python-jose python-multipart python-dotenv bcrypt numpy pillow
+          # Include email-validator for pydantic[email] email validation
+          /tmp/backend-venv/bin/pip install --no-cache-dir fastapi uvicorn "pydantic[email]" sqlalchemy psycopg2-binary redis rq python-jose python-multipart python-dotenv bcrypt numpy pillow
           
           # Set environment variables for validation
           export PYTHONPATH=$(pwd)

tests/test_api_jobs.py

@@ -67,6 +67,7 @@ class TestJobStreaming:
         response = test_client.get("/api/v1/jobs/stream/test-job-id")
         
         if response.status_code == 200:
-            # Check Content-Type for SSE
-            assert response.headers.get("content-type") == "text/event-stream"
+            # Check Content-Type for SSE (may include charset parameter)
+            content_type = response.headers.get("content-type", "")
+            assert content_type.startswith("text/event-stream")