/*
 * QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
 * Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
*/

using Python.Runtime;
using QuantConnect.Benchmarks;
using System;

namespace QuantConnect.Python.Wrappers
{
    /// <summary>
    /// Wrapper for an <see cref = "IBenchmark"/> instance created in Python.
    /// All calls to python should be inside a "using (Py.GIL()) {/* Your code here */}" block.
    /// </summary>
    class BenchmarkPythonWrapper : IBenchmark
    {
        private IBenchmark _benchmark;

        /// <summary>
        /// <see cref = "BenchmarkPythonWrapper"/> constructor.
        /// Wraps the <see cref = "IBenchmark"/> object.  
        /// </summary>
        /// <param name="benchmark"><see cref = "IBenchmark"/> object to be wrapped</param>
        public BenchmarkPythonWrapper(IBenchmark benchmark)
        {
            _benchmark = benchmark;
        }

        /// <summary>
        /// Wrapper for <see cref = "IBenchmark.Evaluate" /> in Python.
        /// Evaluates this benchmark at the specified time
        /// </summary>
        /// <param name="time">The time to evaluate the benchmark at</param>
        /// <returns>The value of the benchmark at the specified time</returns>
        public decimal Evaluate(DateTime time)
        {
            using (Py.GIL())
            {
                return _benchmark.Evaluate(time);
            }
        }
    }
}