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()