Refactor AI daily report pipeline

tests/test_clients.py

@@ -0,0 +1,47 @@
+import json
+import unittest
+from unittest.mock import patch
+
+from ai_daily_report.clients import BlogApiClient, OpenAICompatibleClient, fetch_text
+
+
+class FakeResponse:
+    status = 200
+
+    def __init__(self, body):
+        self.body = body
+
+    def __enter__(self):
+        return self
+
+    def __exit__(self, exc_type, exc, tb):
+        return False
+
+    def read(self):
+        return self.body
+
+
+class ClientTests(unittest.TestCase):
+    def test_fetch_text_decodes_response(self):
+        with patch("urllib.request.urlopen", return_value=FakeResponse("ok".encode("utf-8"))):
+            self.assertEqual(fetch_text("https://example.com", 1), "ok")
+
+    def test_openai_compatible_client_returns_message_content(self):
+        body = json.dumps({"choices": [{"message": {"content": "hello"}}]}).encode("utf-8")
+        with patch("urllib.request.urlopen", return_value=FakeResponse(body)):
+            client = OpenAICompatibleClient(api_key="key", base_url="https://llm.example/v1", model="model")
+            self.assertEqual(client.chat("prompt"), "hello")
+
+    def test_blog_api_client_create_and_publish(self):
+        responses = [
+            FakeResponse(json.dumps({"slug": "ai-2026-06-04"}).encode("utf-8")),
+            FakeResponse(json.dumps({"ok": True}).encode("utf-8")),
+        ]
+        with patch("urllib.request.urlopen", side_effect=responses):
+            client = BlogApiClient(base_url="https://blog.example", token="token")
+            self.assertEqual(client.create_post({"title": "t"})["slug"], "ai-2026-06-04")
+            client.publish_post("ai-2026-06-04")
+
+
+if __name__ == "__main__":
+    unittest.main()