publishing pipeline update + model spec

tests/test_routes.py

@@ -0,0 +1,86 @@
+from __future__ import annotations
+
+import json
+import unittest
+from unittest.mock import patch
+
+from chatmock.app import create_app
+
+
+class FakeUpstream:
+    def __init__(self, events: list[dict[str, object]], status_code: int = 200) -> None:
+        self._events = events
+        self.status_code = status_code
+        self.headers = {}
+        self.content = b""
+        self.text = ""
+
+    def iter_lines(self, decode_unicode: bool = False):
+        for event in self._events:
+            payload = f"data: {json.dumps(event)}"
+            yield payload if decode_unicode else payload.encode("utf-8")
+
+    def close(self) -> None:
+        return None
+
+
+class RouteTests(unittest.TestCase):
+    def setUp(self) -> None:
+        self.app = create_app()
+        self.client = self.app.test_client()
+
+    def test_openai_models_list(self) -> None:
+        response = self.client.get("/v1/models")
+        body = response.get_json()
+        self.assertEqual(response.status_code, 200)
+        self.assertIn("gpt-5.4", [item["id"] for item in body["data"]])
+
+    def test_ollama_tags_list(self) -> None:
+        response = self.client.get("/api/tags")
+        body = response.get_json()
+        self.assertEqual(response.status_code, 200)
+        self.assertIn("gpt-5.4", [item["name"] for item in body["models"]])
+
+    @patch("chatmock.routes_openai.start_upstream_request")
+    def test_chat_completions(self, mock_start) -> None:
+        mock_start.return_value = (
+            FakeUpstream(
+                [
+                    {"type": "response.output_text.delta", "delta": "hello"},
+                    {"type": "response.completed", "response": {"id": "resp-openai"}},
+                ]
+            ),
+            None,
+        )
+        response = self.client.post(
+            "/v1/chat/completions",
+            json={"model": "gpt5.4", "messages": [{"role": "user", "content": "hi"}]},
+        )
+        body = response.get_json()
+        self.assertEqual(response.status_code, 200)
+        self.assertEqual(body["choices"][0]["message"]["content"], "hello")
+        self.assertEqual(body["model"], "gpt5.4")
+
+    @patch("chatmock.routes_ollama.start_upstream_request")
+    def test_ollama_chat(self, mock_start) -> None:
+        mock_start.return_value = (
+            FakeUpstream(
+                [
+                    {"type": "response.output_text.delta", "delta": "hello"},
+                    {"type": "response.completed"},
+                ]
+            ),
+            None,
+        )
+        response = self.client.post(
+            "/api/chat",
+            json={"model": "gpt-5.4", "messages": [{"role": "user", "content": "hi"}], "stream": False},
+        )
+        body = response.get_json()
+        self.assertEqual(response.status_code, 200)
+        self.assertEqual(body["message"]["content"], "hello")
+        self.assertEqual(body["model"], "gpt-5.4")
+
+
+if __name__ == "__main__":
+    unittest.main()