/*
 * 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.Data;
using QuantConnect.Securities;
using System;
using System.Collections.Generic;

namespace QuantConnect.Python
{
    /// <summary>
    /// Provides a volatility model that wraps a <see cref="PyObject"/> object that represents a model that computes the volatility of a security
    /// </summary>
    public class VolatilityModelPythonWrapper : IVolatilityModel
    {
        private readonly dynamic _model;

        /// <summary>
        /// Constructor for initialising the <see cref="VolatilityModelPythonWrapper"/> class with wrapped <see cref="PyObject"/> object
        /// </summary>
        /// <param name="model"> Represents a model that computes the volatility of a security</param>
        public VolatilityModelPythonWrapper(PyObject model)
        {
            _model = model;
        }

        /// <summary>
        /// Gets the volatility of the security as a percentage
        /// </summary>
        public decimal Volatility
        {
            get
            {
                return _model.Volatility;
            }
        }

        /// <summary>
        /// Updates this model using the new price information in
        /// the specified security instance
        /// </summary>
        /// <param name="security">The security to calculate volatility for</param>
        /// <param name="data">The new data used to update the model</param>
        public void Update(Security security, BaseData data)
        {
            using (Py.GIL())
            {
                _model.Update(security, data);
            }
        }

        /// <summary>
        /// Returns history requirements for the volatility model expressed in the form of history request
        /// </summary>
        /// <param name="security">The security of the request</param>
        /// <param name="utcTime">The date/time of the request</param>
        /// <returns>History request object list, or empty if no requirements</returns>
        public IEnumerable<HistoryRequest> GetHistoryRequirements(Security security, DateTime utcTime)
        {
            using (Py.GIL())
            {
                return _model.GetHistoryRequirements(security, utcTime);
            }
        }
    }
}