feat: implement Reddit social sentiment collector

1 files changed, 33 insertions, 0 deletions

diff --git a/services/news-collector/tests/test_reddit.py b/services/news-collector/tests/test_reddit.py
new file mode 100644
index 0000000..3626c0a
--- /dev/null
+++ b/services/news-collector/tests/test_reddit.py
@@ -0,0 +1,33 @@
+"""Tests for Reddit collector."""
+import pytest
+from unittest.mock import AsyncMock, patch
+from news_collector.collectors.reddit import RedditCollector
+
+@pytest.fixture
+def collector():
+    return RedditCollector()
+
+def test_collector_name(collector):
+    assert collector.name == "reddit"
+    assert collector.poll_interval == 900
+
+async def test_is_available(collector):
+    assert await collector.is_available() is True
+
+async def test_collect_parses_posts(collector):
+    mock_posts = [
+        {"data": {"title": "NVDA to the moon! AI demand is insane", "selftext": "Just loaded up on NVDA calls", "url": "https://reddit.com/r/wallstreetbets/123", "created_utc": 1711929600, "score": 500, "num_comments": 200, "subreddit": "wallstreetbets"}},
+    ]
+    with patch.object(collector, "_fetch_subreddit", new_callable=AsyncMock, return_value=mock_posts):
+        items = await collector.collect()
+    assert len(items) >= 1
+    assert items[0].source == "reddit"
+    assert items[0].category.value == "social"
+
+async def test_collect_filters_low_score(collector):
+    mock_posts = [
+        {"data": {"title": "Random question", "selftext": "", "url": "https://reddit.com/456", "created_utc": 1711929600, "score": 3, "num_comments": 1, "subreddit": "stocks"}},
+    ]
+    with patch.object(collector, "_fetch_subreddit", new_callable=AsyncMock, return_value=mock_posts):
+        items = await collector.collect()
+    assert items == []