Refactor backend project and tighten CV test coverage

tools/summarizer/app.py

@@ -26,6 +26,7 @@ OCR_LANGUAGES = "eng"
 IMAGE_EXTENSIONS = {".png", ".jpg", ".jpeg", ".webp"}
 OLLAMA_BASE_URL = os.getenv("OLLAMA_BASE_URL", "http://127.0.0.1:11434").rstrip("/")
 OLLAMA_MODEL = os.getenv("OLLAMA_MODEL", "")
+SKIP_MODEL_LOAD = os.getenv("AI_SERVICE_SKIP_MODEL_LOAD", "") == "1"
 
 
 def _load_runtime():
@@ -39,7 +40,10 @@ def _load_runtime():
     return tokenizer, model, device, has_cuda, gpu_name
 
 
-tokenizer, model, device, GPU_AVAILABLE, GPU_NAME = _load_runtime()
+if SKIP_MODEL_LOAD:
+    tokenizer, model, device, GPU_AVAILABLE, GPU_NAME = None, None, torch.device("cpu"), False, None
+else:
+    tokenizer, model, device, GPU_AVAILABLE, GPU_NAME = _load_runtime()
 cache = TTLCache(maxsize=1024, ttl=60 * 60)
 
 
@@ -298,6 +302,8 @@ def _role_focused_excerpt(text: str) -> dict:
 
 
 def _model_summarize(text: str, max_length: int, min_length: int) -> str:
+    if tokenizer is None or model is None:
+        raise HTTPException(status_code=503, detail="Summarizer model is not loaded.")
     inputs = tokenizer(text, return_tensors="pt", truncation=True, max_length=1024)
     input_ids = inputs.input_ids.to(device)
     attention_mask = inputs.attention_mask.to(device) if hasattr(inputs, "attention_mask") else None

tools/summarizer/requirements-dev.txt

@@ -0,0 +1,3 @@
+-r requirements.txt
+pytest==8.3.5
+httpx==0.28.1

tools/summarizer/tests/test_app.py

@@ -0,0 +1,77 @@
+import importlib
+import os
+import sys
+from pathlib import Path
+
+from fastapi.testclient import TestClient
+
+
+ROOT = Path(__file__).resolve().parents[1]
+if str(ROOT) not in sys.path:
+    sys.path.insert(0, str(ROOT))
+
+
+def load_app_module(monkeypatch):
+    monkeypatch.setenv("AI_SERVICE_SKIP_MODEL_LOAD", "1")
+    monkeypatch.delenv("OLLAMA_MODEL", raising=False)
+    if "app" in sys.modules:
+        del sys.modules["app"]
+    module = importlib.import_module("app")
+    return importlib.reload(module)
+
+
+def test_health_reports_runtime_without_ollama(monkeypatch):
+    module = load_app_module(monkeypatch)
+    client = TestClient(module.app)
+
+    response = client.get("/health")
+
+    assert response.status_code == 200
+    payload = response.json()
+    assert payload["ok"] is True
+    assert payload["device"] == "cpu"
+    assert payload["ollama_configured"] is False
+    assert payload["ollama_model"] is None
+
+
+def test_classify_block_returns_structured_json(monkeypatch):
+    module = load_app_module(monkeypatch)
+
+    def fake_generate_json(prompt: str):
+        assert "Senior Platform Engineer" in prompt
+        return {
+            "section": "Work Experience",
+            "confidence": 0.91,
+            "reason": "job block",
+            "title": "Senior Platform Engineer",
+            "company": "Atlas Systems",
+            "location": "Oslo",
+            "start": "2019",
+            "end": "Present",
+            "bullets": ["Built event-driven APIs and migration tooling."],
+        }
+
+    monkeypatch.setattr(module, "_ollama_generate_json", fake_generate_json)
+    client = TestClient(module.app)
+
+    response = client.post("/cv/classify-block", json={"block": "Senior Platform Engineer at Atlas Systems, Oslo, 2019 - Present. Built event-driven APIs and migration tooling."})
+
+    assert response.status_code == 200
+    payload = response.json()
+    assert payload["section"] == "Work Experience"
+    assert payload["title"] == "Senior Platform Engineer"
+    assert payload["company"] == "Atlas Systems"
+    assert payload["bullets"] == ["Built event-driven APIs and migration tooling."]
+
+
+def test_classify_block_defaults_missing_section_to_other(monkeypatch):
+    module = load_app_module(monkeypatch)
+    monkeypatch.setattr(module, "_ollama_generate_json", lambda prompt: {"bullets": []})
+    client = TestClient(module.app)
+
+    response = client.post("/cv/classify-block", json={"block": "Miscellaneous profile text"})
+
+    assert response.status_code == 200
+    payload = response.json()
+    assert payload["section"] == "Other"
+    assert payload["bullets"] == []