Big refactoring

tests/unit/test_openai_sentiment_provider.py

@@ -8,6 +8,7 @@ from unittest.mock import AsyncMock, MagicMock, patch
 
 import pytest
 
+from app.exceptions import ProviderError
 from app.providers.openai_sentiment import OpenAISentimentProvider
 
 
@@ -160,3 +161,42 @@ class TestCitationsExtraction:
 
         assert result.citations == []
         assert result.reasoning == "Quiet day"
+
+
+class TestBatchSentiment:
+    @pytest.mark.asyncio
+    async def test_batch_sentiment_parses_multiple_tickers(self, provider):
+        json_text = (
+            '[{"ticker":"AAPL","classification":"bullish","confidence":81,"reasoning":"Positive earnings"},'
+            '{"ticker":"MSFT","classification":"neutral","confidence":52,"reasoning":"Mixed guidance"}]'
+        )
+        mock_response = _build_response(json_text)
+        provider._client.responses.create = AsyncMock(return_value=mock_response)
+
+        result = await provider.fetch_sentiment_batch(["AAPL", "MSFT"])
+
+        assert set(result.keys()) == {"AAPL", "MSFT"}
+        assert result["AAPL"].classification == "bullish"
+        assert result["MSFT"].classification == "neutral"
+
+    @pytest.mark.asyncio
+    async def test_batch_sentiment_skips_invalid_rows(self, provider):
+        json_text = (
+            '[{"ticker":"AAPL","classification":"bullish","confidence":81,"reasoning":"Positive earnings"},'
+            '{"ticker":"TSLA","classification":"invalid","confidence":95,"reasoning":"Bad shape"}]'
+        )
+        mock_response = _build_response(json_text)
+        provider._client.responses.create = AsyncMock(return_value=mock_response)
+
+        result = await provider.fetch_sentiment_batch(["AAPL", "MSFT"])
+
+        assert set(result.keys()) == {"AAPL"}
+
+    @pytest.mark.asyncio
+    async def test_batch_sentiment_requires_array_json(self, provider):
+        json_text = '{"ticker":"AAPL","classification":"bullish","confidence":81,"reasoning":"Positive earnings"}'
+        mock_response = _build_response(json_text)
+        provider._client.responses.create = AsyncMock(return_value=mock_response)
+
+        with pytest.raises(ProviderError):
+            await provider.fetch_sentiment_batch(["AAPL", "MSFT"])