From 27af6e6c749d3c4d469a048166717e6521882d9b Mon Sep 17 00:00:00 2001
From: Mika <kontakt@donau2space.de>
Date: Tue, 17 Feb 2026 16:16:29 +0000
Subject: [PATCH] Add policy_grid_evaluation/tests/test_core.py

---
 policy_grid_evaluation/tests/test_core.py | 83 +++++++++++++++++++++++
 1 file changed, 83 insertions(+)
 create mode 100644 policy_grid_evaluation/tests/test_core.py

diff --git a/policy_grid_evaluation/tests/test_core.py b/policy_grid_evaluation/tests/test_core.py
new file mode 100644
index 0000000..313985b
--- /dev/null
+++ b/policy_grid_evaluation/tests/test_core.py
@@ -0,0 +1,83 @@
+import os
+import tempfile
+import csv
+import pytest
+from typing import List
+
+import pandas as pd
+
+from src.policy_grid_evaluation import core
+
+
+def _validate_gridresult(obj):
+    assert isinstance(obj.policy, str)
+    assert isinstance(obj.unknown_conversion, float)
+    assert isinstance(obj.real_missing_cases, int)
+    assert isinstance(obj.additional_wait_time, float)
+
+
+def test_evaluate_grid_returns_list_of_gridresults():
+    grace_values = [1, 2]
+    delay_values = [10, 20]
+    policies = ["baseline", "combined"]
+
+    results = core.evaluate_grid(grace_values, delay_values, policies)
+
+    assert isinstance(results, list)
+    assert results, "Results list should not be empty"
+    for res in results:
+        _validate_gridresult(res)
+
+    all_policies = set(r.policy for r in results)
+    expected_policies = set(policies)
+    assert all_policies == expected_policies or all_policies.issubset(expected_policies)
+
+
+def test_save_results_to_csv_creates_valid_csv(tmp_path):
+    # Prepare sample results
+    sample_results: List[core.GridResult] = [
+        core.GridResult(policy="combined", unknown_conversion=0.95, real_missing_cases=4, additional_wait_time=0.6),
+        core.GridResult(policy="baseline", unknown_conversion=0.88, real_missing_cases=6, additional_wait_time=1.1),
+    ]
+
+    csv_file = tmp_path / "grid_output.csv"
+    core.save_results_to_csv(sample_results, str(csv_file))
+
+    assert csv_file.exists(), "CSV file should be created"
+    df = pd.read_csv(csv_file)
+    expected_columns = [
+        "policy",
+        "unknown_conversion",
+        "real_missing_cases",
+        "additional_wait_time",
+    ]
+    for col in expected_columns:
+        assert col in df.columns
+
+    assert len(df) == 2
+    assert set(df["policy"]) == {"combined", "baseline"}
+
+
+def test_save_and_evaluate_integration(tmp_path):
+    # Simulated integration to ensure both functions cooperate
+    results = core.evaluate_grid([1], [5], ["baseline"])
+    out_file = tmp_path / "out.csv"
+    core.save_results_to_csv(results, str(out_file))
+
+    assert out_file.exists()
+    with open(out_file, newline="") as f:
+        reader = csv.DictReader(f)
+        rows = list(reader)
+
+    assert len(rows) == len(results)
+    for row in rows:
+        assert set(row.keys()) == {"policy", "unknown_conversion", "real_missing_cases", "additional_wait_time"}
+
+
+def test_evaluate_grid_input_validation():
+    with pytest.raises((TypeError, ValueError)):
+        core.evaluate_grid("123", [1], ["baseline"])  # invalid grace_values
+    with pytest.raises((TypeError, ValueError)):
+        core.evaluate_grid([1], None, ["baseline"])  # invalid delay_values
+    with pytest.raises((TypeError, ValueError)):
+        core.evaluate_grid([1], [1], None)  # invalid policies
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