added tests

Signed-off-by: Ketan Bhardwaj <ketanbj@gmail.com>

Author: ketanbj

tests/test_api_PandaModelBackend.py tests/test_backend_api.pytests/test_api_PandaModelBackend.py renamed to tests/test_backend_api.py

@@ -0,0 +1,80 @@
+import grid2op
+from PandaModelsBackend import PandaModelsBackend
+import pandapower as pp
+import pandapower.converter as pp_converter
+import os
+import numpy as np
+
+def test_grid2op_pandapower():
+    """
+    Full test for Grid2Op with PandaPower backend.
+    - Lists available Grid2Op test environments.
+    - Loads an environment and converts its network to PandaPower.
+    - Runs a basic simulation with a dummy action.
+    - Ensures the backend works without errors.
+    """
+
+    # Step 1: List available test environments
+    available_envs = grid2op.list_available_test_env()
+    if not available_envs:
+        print("❌ No available Grid2Op test environments found!")
+        return
+    print(f"✅ Found {len(available_envs)} available Grid2Op test environments.")
+
+    # Step 2: Pick the first available test environment
+    env_name = available_envs[2]
+    print(f"✅ Running test on Grid2Op environment: {env_name}")
+
+    # Step 3: Construct the test environment path
+    path_grid2op = os.path.dirname(grid2op.__file__)
+    path_data_test = os.path.join(path_grid2op, "data", env_name)
+
+    # Step 4: Find a valid grid file
+    possible_files = ["grid.json", "case.m", "grid.m"]
+    network_file = None
+
+    for file in possible_files:
+        full_path = os.path.join(path_data_test, file)
+        if os.path.exists(full_path):
+            network_file = full_path
+            break
+
+    if not network_file:
+        print(f"❌ No valid grid file found in {path_data_test}")
+        return
+
+    print(f"✅ Found network file: {network_file}")
+
+    # Step 5: Convert the environment grid to a PandaPower network
+    try:
+        if network_file.endswith(".json"):
+            pp_net = pp.from_json(network_file)  # Load PandaPower JSON
+            print("✅ Loaded grid from JSON")
+        else:
+            pp_net = pp_converter.from_mpc(network_file, f_hz=50)  # Convert MATPOWER to PandaPower
+            print("✅ Converted MATPOWER to PandaPower network")
+    except Exception as e:
+        print(f"❌ Error loading grid file: {e}")
+        return
+
+    # Step 6: Initialize Grid2Op with the PandaPower backend
+    backend = PandaModelsBackend(pp_net)
+    env = grid2op.make(env_name, backend=backend)  # Fix missing dataset argument
+
+    # Step 7: Reset the environment
+    obs = env.reset()
+
+    # Step 8: Take a simple action (do nothing)
+    action = env.action_space()
+    obs, reward, done, info = env.step(action)
+
+    # Step 9: Validate results
+    assert not done, "❌ Simulation ended too early!"
+    assert not np.isnan(obs.rho.max()), "❌ Invalid line loading (NaN detected)!"
+    assert not np.isnan(obs.prod_p.max()), "❌ Invalid generator production (NaN detected)!"
+
+    print("✅ Grid2Op PandaPower Backend Test Passed: Environment runs successfully!")
+
+# Run the test
+if __name__ == "__main__":
+    test_grid2op_pandapower()