using Python.Runtime;
using System.Text.Json;

namespace dopt.DeltaBarth
{
    public class PythonParsingException : Exception
    {
        public PythonParsingException() { }
        public PythonParsingException(string message) : base(message) { }
    }
    public class Plugin : SharpPython.BasePlugin
    {
        protected dynamic pyModManagement;
        protected dynamic pyModPipeline;
        public Plugin(string runtimePath) : base(runtimePath: runtimePath, verbose: false) 
        {
            base.Initialise();
            using (Py.GIL())
            {
                pyModManagement = Py.Import("delta_barth.management");
                pyModPipeline = Py.Import("delta_barth.pipelines");
            }
        }
        public void Startup(string datenPfad, string basisApiUrl, string nutzername, string passwort, string datenbank, string mandant)
        {
            AssertNotDisposed();
            Setup(datenPfad, basisApiUrl);
            SetzeNutzerdaten(nutzername, passwort, datenbank, mandant);
        }
        public void SetzeNutzerdaten(string nutzername, string passwort, string datenbank, string mandant)
        {
            AssertNotDisposed();
            using (Py.GIL()) {
                pyModManagement.set_credentials(nutzername, passwort, datenbank, mandant);
            }
        }
        public DataObjects.UmsatzPrognoseAusgabe UmsatzprognoseDummy(int? firmaId, DateTime? analyseBeginn)
        {
            AssertNotDisposed();
            string pyJson;
            using (Py.GIL())
            {
                pyJson = pyModPipeline.pipeline_sales_forecast_dummy(firmaId, analyseBeginn);
            }
            var parsed = JsonSerializer.Deserialize<DataObjects.UmsatzPrognoseAusgabe>(pyJson) ?? throw new PythonParsingException("Could not correctly parse object from Python");
            return parsed;
        }
        public DataObjects.UmsatzPrognoseAusgabe Umsatzprognose(int? firmaId, DateTime? analyseBeginn)
        {
            AssertNotDisposed();
            string pyJson;
            using (Py.GIL())
            {
                pyJson = pyModPipeline.pipeline_sales_forecast(firmaId, analyseBeginn);
            }
            var parsed = JsonSerializer.Deserialize<DataObjects.UmsatzPrognoseAusgabe>(pyJson) ?? throw new PythonParsingException("Could not correctly parse object from Python");
            return parsed;
        }
        protected void Setup(string datenPfad, string basisApiUrl)
        {
            AssertNotDisposed();
            using (Py.GIL())
            {
                pyModManagement.setup(datenPfad, basisApiUrl);
            }
        }
        protected string GetBaseApiUrl()
        {
            AssertNotDisposed();
            string pyJson;
            using (Py.GIL())
            {
                pyJson = (string)pyModManagement.get_base_url();
            }
            return pyJson;
        }
        protected string GetDataPath()
        {
            AssertNotDisposed();
            string pyJson;
            using (Py.GIL())
            {
                pyJson = (string)pyModManagement.get_data_path();
            }
            return pyJson;
        }
        protected DataObjects.Credentials GetCredentials()
        {
            AssertNotDisposed();
            string pyJson;
            using (Py.GIL())
            {
                pyJson = (string)pyModManagement.get_credentials();
            }

            DataObjects.Credentials? parsed = JsonSerializer.Deserialize<DataObjects.Credentials>(pyJson);
            return parsed ?? throw new PythonParsingException("Could not correctly parse object from Python");
        }
    }
}