From c9c8a48d8f9aafce6ccc2ab96290b0ea49065ae7 Mon Sep 17 00:00:00 2001
From: Mika <kontakt@donau2space.de>
Date: Fri, 9 Jan 2026 14:49:07 +0000
Subject: [PATCH] Add spike_finder/tests/test_core.py

---
 spike_finder/tests/test_core.py | 61 +++++++++++++++++++++++++++++++++
 1 file changed, 61 insertions(+)
 create mode 100644 spike_finder/tests/test_core.py

diff --git a/spike_finder/tests/test_core.py b/spike_finder/tests/test_core.py
new file mode 100644
index 0000000..c79a746
--- /dev/null
+++ b/spike_finder/tests/test_core.py
@@ -0,0 +1,61 @@
+import pytest
+from spike_finder import core
+
+
+def test_find_spikes_basic_case():
+    # Synthetic log data with values around and above the threshold
+    log_data = [
+        {"timestamp": "2024-01-01T00:00:00", "value": 0.5},
+        {"timestamp": "2024-01-01T00:01:00", "value": 1.2},
+        {"timestamp": "2024-01-01T00:02:00", "value": 0.7},
+        {"timestamp": "2024-01-01T00:03:00", "value": 1.5}
+    ]
+    threshold = 1.0
+
+    spikes = core.find_spikes(log_data, threshold)
+
+    # Verify the number of detected spikes
+    assert isinstance(spikes, list)
+    assert len(spikes) == 2
+
+    # Check each spike event's structure
+    for event in spikes:
+        assert isinstance(event, dict)
+        assert 'timestamp' in event
+        assert 'value' in event
+        assert 'context_window' in event
+        assert isinstance(event['timestamp'], str)
+        assert isinstance(event['value'], float)
+        assert isinstance(event['context_window'], list)
+        assert all(isinstance(x, float) for x in event['context_window'])
+
+
+def test_find_spikes_no_spikes():
+    # All values below threshold
+    log_data = [
+        {"timestamp": "2024-01-01T00:00:00", "value": 0.2},
+        {"timestamp": "2024-01-01T00:01:00", "value": 0.3},
+        {"timestamp": "2024-01-01T00:02:00", "value": 0.4}
+    ]
+    threshold = 1.0
+
+    spikes = core.find_spikes(log_data, threshold)
+
+    assert isinstance(spikes, list)
+    assert len(spikes) == 0
+
+
+def test_find_spikes_edge_context():
+    # Ensure context window properly handles edges
+    log_data = [
+        {"timestamp": "2024-01-01T00:00:00", "value": 2.0},
+        {"timestamp": "2024-01-01T00:01:00", "value": 0.5},
+        {"timestamp": "2024-01-01T00:02:00", "value": 2.1}
+    ]
+    threshold = 1.0
+
+    spikes = core.find_spikes(log_data, threshold)
+
+    assert len(spikes) == 2
+    for event in spikes:
+        assert len(event['context_window']) >= 1  # Each should have some context
\ No newline at end of file