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# Mantid Repository : https://github.com/mantidproject/mantid
#
# Copyright © 2019 ISIS Rutherford Appleton Laboratory UKRI,
#     NScD Oak Ridge National Laboratory, European Spallation Source
#     & Institut Laue - Langevin
# SPDX - License - Identifier: GPL - 3.0 +

from __future__ import (absolute_import, division, print_function)

from os import path
from matplotlib import gridspec
import matplotlib.pyplot as plt

from Engineering.gui.engineering_diffraction.tabs.common import vanadium_corrections, path_handling
from Engineering.gui.engineering_diffraction.settings.settings_helper import get_setting
from mantid.simpleapi import EnggFocus, logger, AnalysisDataService as Ads, SaveNexus, SaveGSS, SaveFocusedXYE

SAMPLE_RUN_WORKSPACE_NAME = "engggui_focusing_input_ws"
FOCUSED_OUTPUT_WORKSPACE_NAME = "engggui_focusing_output_ws_bank_"


class FocusModel(object):
    def focus_run(self, sample_path, banks, plot_output, instrument, rb_num):
        """
        Focus some data using the current calibration.
        :param sample_path: The path to the data to be focused.
        :param banks: The banks that should be focused.
        :param plot_output: True if the output should be plotted.
        :param instrument: The instrument that the data came from.
        :param rb_num: The experiment number, used to create directories. Can be None
        if not Ads.doesExist(vanadium_corrections.INTEGRATED_WORKSPACE_NAME) and not Ads.doesExist(
                vanadium_corrections.CURVES_WORKSPACE_NAME):
        integration_workspace = Ads.retrieve(vanadium_corrections.INTEGRATED_WORKSPACE_NAME)
        curves_workspace = Ads.retrieve(vanadium_corrections.CURVES_WORKSPACE_NAME)
        sample_workspace = path_handling.load_workspace(sample_path)
        output_workspaces = []
        full_calib_path = get_setting(path_handling.INTERFACES_SETTINGS_GROUP,
                                      path_handling.ENGINEERING_PREFIX, "full_calibration")
        if full_calib_path is not None and path.exists(full_calib_path):
            full_calib_workspace = path_handling.load_workspace(full_calib_path)
        else:
            full_calib_workspace = None
        for name in banks:
            output_workspace_name = FOCUSED_OUTPUT_WORKSPACE_NAME + str(name)
            self._run_focus(sample_workspace, output_workspace_name, integration_workspace,
                            curves_workspace, name, full_calib_workspace)
            output_workspaces.append(output_workspace_name)
            # Save the output to the file system.
            self._save_output(instrument, sample_path, name, output_workspace_name, rb_num)
        # Plot the output
        if plot_output:
            self._plot_focused_workspaces(output_workspaces)
    def _run_focus(input_workspace,
                   output_workspace,
                   vanadium_integration_ws,
                   vanadium_curves_ws,
                   bank,
                   full_calib_ws=None):
            if full_calib_ws is not None:
                return EnggFocus(InputWorkspace=input_workspace,
                                 OutputWorkspace=output_workspace,
                                 VanIntegrationWorkspace=vanadium_integration_ws,
                                 VanCurvesWorkspace=vanadium_curves_ws,
                                 Bank=bank,
                                 DetectorPositions=full_calib_ws)
            else:
                return EnggFocus(InputWorkspace=input_workspace,
                                 OutputWorkspace=output_workspace,
                                 VanIntegrationWorkspace=vanadium_integration_ws,
                                 VanCurvesWorkspace=vanadium_curves_ws,
                                 Bank=bank)
        except RuntimeError as e:
            logger.error(
                "Error in focusing, Could not run the EnggFocus algorithm successfully for bank " +
                str(bank) + ". Error Description: " + str(e))
            raise RuntimeError()

    @staticmethod
    def _plot_focused_workspaces(focused_workspaces):
        fig = plt.figure()
        gs = gridspec.GridSpec(1, len(focused_workspaces))
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        plots = [
            fig.add_subplot(gs[i], projection="mantid") for i in range(len(focused_workspaces))
        ]
        for ax, ws_name in zip(plots, focused_workspaces):
            ax.plot(Ads.retrieve(ws_name), wkspIndex=0)
            ax.set_title(ws_name)
        fig.show()

    def _save_output(self, instrument, sample_path, bank, sample_workspace, rb_num):
        Save a focused workspace to the file system. Saves separate copies to a User directory if an rb number has
        been set.
        :param instrument: The instrument the data is from.
        :param sample_path: The path to the data file that was focused.
        :param bank: The name of the bank being saved.
        :param sample_workspace: The name of the workspace to be saved.
        :param rb_num: Usually an experiment id, defines the name of the user directory.
        self._save_focused_output_files_as_nexus(instrument, sample_path, bank, sample_workspace,
        self._save_focused_output_files_as_gss(instrument, sample_path, bank, sample_workspace,
        self._save_focused_output_files_as_xye(instrument, sample_path, bank, sample_workspace,

    def _save_focused_output_files_as_gss(self, instrument, sample_path, bank, sample_workspace,
                                          rb_num):
        gss_output_path = path.join(
            path_handling.get_output_path(), "Focus",
            self._generate_output_file_name(instrument, sample_path, bank, ".gss"))
        SaveGSS(InputWorkspace=sample_workspace, Filename=gss_output_path)
        if rb_num is not None:
            gss_output_path = path.join(
                path_handling.get_output_path(), "User", rb_num, "Focus",
                self._generate_output_file_name(instrument, sample_path, bank, ".gss"))
            SaveGSS(InputWorkspace=sample_workspace, Filename=gss_output_path)

    def _save_focused_output_files_as_nexus(self, instrument, sample_path, bank, sample_workspace,
                                            rb_num):
        nexus_output_path = path.join(
            path_handling.get_output_path(), "Focus",
            self._generate_output_file_name(instrument, sample_path, bank, ".nxs"))
        SaveNexus(InputWorkspace=sample_workspace, Filename=nexus_output_path)
        if rb_num is not None:
            nexus_output_path = path.join(
                path_handling.get_output_path(), "User", rb_num, "Focus",
                self._generate_output_file_name(instrument, sample_path, bank, ".nxs"))
            SaveNexus(InputWorkspace=sample_workspace, Filename=nexus_output_path)

    def _save_focused_output_files_as_xye(self, instrument, sample_path, bank, sample_workspace,
                                          rb_num):
        xye_output_path = path.join(
            path_handling.get_output_path(), "Focus",
            self._generate_output_file_name(instrument, sample_path, bank, ".dat"))
        SaveFocusedXYE(InputWorkspace=sample_workspace, Filename=xye_output_path, SplitFiles=False)
        if rb_num is not None:
            xye_output_path = path.join(
                path_handling.get_output_path(), "User", rb_num, "Focus",
                self._generate_output_file_name(instrument, sample_path, bank, ".dat"))
            SaveFocusedXYE(InputWorkspace=sample_workspace,
                           Filename=xye_output_path,
                           SplitFiles=False)

    def _generate_output_file_name(instrument, sample_path, bank, suffix):
        run_no = path_handling.get_run_number_from_path(sample_path, instrument)
        return instrument + "_" + run_no + "_bank_" + bank + suffix