#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Part of the psychopy.iohub library.
# Copyright (C) 2012-2016 iSolver Software Solutions
# Distributed under the terms of the GNU General Public License (GPL).
from __future__ import division, absolute_import, print_function

import os
import atexit
import numpy as np
from builtins import str
from builtins import object
from pkg_resources import parse_version
from ..server import DeviceEvent
from ..constants import EventConstants
from ..errors import ioHubError, printExceptionDetailsToStdErr, print2err


import tables
from tables import parameters, IsDescription, Filters, StringCol, UInt32Col, UInt16Col, NodeError, NoSuchNodeError, ClosedFileError
if parse_version(tables.__version__) < parse_version('3'):
    from tables import openFile as open_file
    create_table = "createTable"
    create_group = "createGroup"
    f_get_child = "_f_getChild"
else:
    from tables import open_file
    create_table = "create_table"
    create_group = "create_group"
    _f_get_child = "_f_get_child"


"""
ioHub
.. file: ioHub/datastore/__init__.py

Copyright (C) 2012-2013 iSolver Software Solutions
Distributed under the terms of the GNU General Public License (GPL version 3 or any later version).

.. moduleauthor:: Sol Simpson <sol@isolver-software.com> + contributors, please see credits section of documentation.
.. fileauthor:: Sol Simpson <sol@isolver-software.com>

"""


parameters.MAX_NUMEXPR_THREADS = None
"""The maximum number of threads that PyTables should use internally in
Numexpr.  If `None`, it is automatically set to the number of cores in
your machine. In general, it is a good idea to set this to the number of
cores in your machine or, when your machine has many of them (e.g. > 4),
perhaps one less than this. < S. Simpson Note: These are 'not' GIL bound
threads and therefore actually improve performance > """

parameters.MAX_BLOSC_THREADS = None
"""The maximum number of threads that PyTables should use internally in
Blosc.  If `None`, it is automatically set to the number of cores in
your machine. In general, it is a good idea to set this to the number of
cores in your machine or, when your machine has many of them (e.g. > 4),
perhaps one less than this.  < S. Simpson Note: These are 'not' GIL bound
threads and therefore actually improve performance > """

DATA_FILE_TITLE = "ioHub DataStore - Experiment Data File."
FILE_VERSION = '0.8.1.1'
SCHEMA_AUTHORS = 'Sol Simpson'
SCHEMA_MODIFIED_DATE = 'November 24th, 2016'


class DataStoreFile(object):
    def __init__(self, fileName, folderPath, fmode='a', iohub_settings=None):
        self.fileName = fileName
        self.folderPath = folderPath
        self.filePath = os.path.join(folderPath, fileName)

        if iohub_settings.get('multiple_sessions', True) is False:
            fmode = 'w'

        self.settings = iohub_settings

        self.active_experiment_id = None
        self.active_session_id = None

        self.flushCounter = self.settings.get('flush_interval', 32)
        self._eventCounter = 0

        self.TABLES = dict()
        self._eventGroupMappings = dict()
        self.emrtFile = open_file(self.filePath, mode=fmode)

        atexit.register(close_open_data_files, False)

        if len(self.emrtFile.title) == 0:
            self.buildOutTemplate()
            self.flush()
        else:
            self.loadTableMappings()

    def loadTableMappings(self):
        # create meta-data tables
        self.TABLES['EXPERIMENT_METADETA']=self.emrtFile.root.data_collection.experiment_meta_data
        self.TABLES['SESSION_METADETA']=self.emrtFile.root.data_collection.session_meta_data
        self.TABLES['CLASS_TABLE_MAPPINGS']=self.emrtFile.root.class_table_mapping
        
    def buildOutTemplate(self):
        self.emrtFile.title = DATA_FILE_TITLE
        self.emrtFile.FILE_VERSION = FILE_VERSION
        self.emrtFile.SCHEMA_DESIGNER = SCHEMA_AUTHORS
        self.emrtFile.SCHEMA_MODIFIED = SCHEMA_MODIFIED_DATE

        #CREATE GROUPS
        self.TABLES['CLASS_TABLE_MAPPINGS'] = getattr(self.emrtFile, create_table)(
            self.emrtFile.root,
            'class_table_mapping',
            ClassTableMappings,
            title='ioHub DeviceEvent Class to DataStore Table Mappings.')

        getattr(self.emrtFile, create_group)(
            self.emrtFile.root,
            'data_collection',
            title='Data Collected using the ioHub Event Framework.'
        )
        self.flush()

        getattr(self.emrtFile, create_group)(
            self.emrtFile.root.data_collection,
            'events',
            title='Data Collected using the ioHub Event Framework.'
        )

        getattr(self.emrtFile, create_group)(
            self.emrtFile.root.data_collection,
            'condition_variables',
            title="Experiment Session DV and IV's Values."
        )
        self.flush()


        self.TABLES['EXPERIMENT_METADETA'] = getattr(self.emrtFile, create_table)(
            self.emrtFile.root.data_collection,
            'experiment_meta_data',
            ExperimentMetaData,
            title='Information About Experiments Saved to This ioHub DataStore File.'
        )
        self.TABLES['SESSION_METADETA'] = getattr(self.emrtFile, create_table)(
            self.emrtFile.root.data_collection,
            'session_meta_data',
            SessionMetaData,
            title='Information About Sessions Saved to This ioHub DataStore File.'
        )
        self.flush()

        getattr(self.emrtFile, create_group)(self.emrtFile.root.data_collection.events, 'experiment', title='Experiment Device Events.')
        getattr(self.emrtFile, create_group)(self.emrtFile.root.data_collection.events, 'keyboard', title='Keyboard Device Events.')
        getattr(self.emrtFile, create_group)(self.emrtFile.root.data_collection.events, 'mouse', title='Mouse Device Events.')
        getattr(self.emrtFile, create_group)(self.emrtFile.root.data_collection.events, 'touch', title='Touch Device Events.')
        getattr(self.emrtFile, create_group)(self.emrtFile.root.data_collection.events, 'gamepad', title='GamePad Device Events.')
        getattr(self.emrtFile, create_group)(self.emrtFile.root.data_collection.events, 'analog_input', title='AnalogInput Device Events.')
        getattr(self.emrtFile, create_group)(self.emrtFile.root.data_collection.events, 'eyetracker', title='EyeTracker Device Events.')
        getattr(self.emrtFile, create_group)(self.emrtFile.root.data_collection.events, 'mcu', title='MCU Device Events.')
        getattr(self.emrtFile, create_group)(self.emrtFile.root.data_collection.events, 'serial', title='Serial Interface Events.')
        self.flush()

    @staticmethod
    def eventTableLabel2ClassName(event_table_label):
        tokens = str(
            event_table_label[0] +
            event_table_label[
                1:].lower() +
            'Event').split('_')
        return ''.join([t[0].upper() + t[1:] for t in tokens])

    def groupNodeForEvent(self, event_cls):
        evt_group_label = event_cls.PARENT_DEVICE.DEVICE_TYPE_STRING.lower()
        datevts_node = self.emrtFile.root.data_collection.events
        try:
            # If group for event table already exists return it....
            return datevts_node._f_get_child(evt_group_label)
        except tables.NoSuchNodeError:
            # Create the group node for the event....
            egtitle = "%s%s Device Events."%(evt_group_label[0].upper(),
                                             evt_group_label[1:])
            self.emrtFile.createGroup(datevts_node, evt_group_label,
                                      title=egtitle)
            return datevts_node._f_get_child(evt_group_label)

    def updateDataStoreStructure(self, device_instance, event_class_dict):
        dfilter = tables.Filters(
            complevel=0,
            complib='zlib',
            shuffle=False,
            fletcher32=False)

        for event_cls_name, event_cls in event_class_dict.items():
            if event_cls.IOHUB_DATA_TABLE:
                event_table_label = event_cls.IOHUB_DATA_TABLE
                if event_table_label not in self.TABLES:
                    try:
                        self.TABLES[event_table_label] = getattr(self.emrtFile, create_table)(
                            self.groupNodeForEvent(event_cls),
                            self.eventTableLabel2ClassName(event_table_label),
                            event_cls.NUMPY_DTYPE,
                            title='%s Data' %
                            (device_instance.__class__.__name__,
                             ),
                            filters=dfilter.copy())
                        self.flush()
                    except tables.NodeError:
                        self.TABLES[event_table_label] = self.groupNodeForEvent(event_cls)._f_get_child(self.eventTableLabel2ClassName(event_table_label))
                    except Exception as e:
                        print2err('---------------ERROR------------------')
                        print2err(
                            'Exception %s in iohub.datastore.updateDataStoreStructure:' %
                            (e.__class__.__name__))
                        print2err('\tevent_cls: {0}'.format(event_cls))
                        print2err(
                            '\tevent_cls_name: {0}'.format(event_cls_name))
                        print2err(
                            '\tevent_table_label: {0}'.format(event_table_label))
                        print2err(
                            '\teventTableLabel2ClassName: {0}'.format(
                                self.eventTableLabel2ClassName(event_table_label)))
                        print2err(
                            '\tgroupNodeForEvent(event_cls): {0}'.format(
                                self.groupNodeForEvent(event_cls)))
                        print2err('\nException:')
                        printExceptionDetailsToStdErr()
                        print2err('--------------------------------------')

                if event_table_label in self.TABLES:
                    self.addClassMapping(event_cls,
                                         self.TABLES[event_table_label])
                else:
                    print2err(
                        '---- IOHUB.DATASTORE CANNOT ADD CLASS MAPPING ----')
                    print2err(
                        '\t** TABLES missing key: {0}'.format(event_table_label))
                    print2err('\tevent_cls: {0}'.format(event_cls))
                    print2err('\tevent_cls_name: {0}'.format(event_cls_name))
                    print2err(
                        '\teventTableLabel2ClassName: {0}'.format(
                            self.eventTableLabel2ClassName(event_table_label)))
                    print2err('----------------------------------------------')

    def addClassMapping(self,ioClass,ctable):
        names = [
            x['class_id'] for x in self.TABLES['CLASS_TABLE_MAPPINGS'].where(
                '(class_id == %d)' %
                (ioClass.EVENT_TYPE_ID))]
        if len(names)==0:
            trow = self.TABLES['CLASS_TABLE_MAPPINGS'].row
            trow['class_id'] = ioClass.EVENT_TYPE_ID
            trow['class_type_id'] = 1 # Device or Event etc.
            trow['class_name'] = ioClass.__name__
            trow['table_path']  = ctable._v_pathname
            trow.append()
            self.flush()

    def createOrUpdateExperimentEntry(self,experimentInfoList):
        experiment_metadata = self.TABLES['EXPERIMENT_METADETA']
        result = [row for row in experiment_metadata.iterrows() if row[
            'code'] == experimentInfoList[1]]
        if len(result) > 0:
            result = result[0]
            self.active_experiment_id = result['experiment_id']
            return self.active_experiment_id
        max_id = 0
        id_col = experiment_metadata.col('experiment_id')
        if len(id_col) > 0:
            max_id = np.amax(id_col)
        self.active_experiment_id = max_id + 1
        experimentInfoList[0] = self.active_experiment_id
        experiment_metadata.append([experimentInfoList, ])
        self.flush()
        return self.active_experiment_id

    def createExperimentSessionEntry(self, sessionInfoDict):
        session_metadata = self.TABLES['SESSION_METADETA']
        max_id = 0
        id_col = session_metadata.col('session_id')
        if len(id_col) > 0:
            max_id = np.amax(id_col)
        self.active_session_id = int(max_id + 1)

        values = (
            self.active_session_id,
            self.active_experiment_id,
            sessionInfoDict['code'],
            sessionInfoDict['name'],
            sessionInfoDict['comments'],
            sessionInfoDict['user_variables']
        )
        session_metadata.append([values, ])
        self.flush()
        return self.active_session_id

    def initConditionVariableTable(
            self, experiment_id, session_id, np_dtype):
        expcv_table = None
        exp_session = [('EXPERIMENT_ID','i4'),('SESSION_ID','i4')]
        exp_session.extend(np_dtype)
        np_dtype = []
        for npctype in exp_session:
            if isinstance(npctype[0], str):
                nv = [str(npctype[0]),]
                nv.extend(npctype[1:])
                np_dtype.append(tuple(nv))
            else:
                np_dtype.append(npctype)

        np_dtype2=[]
        for adtype in np_dtype:
            adtype2=[]
            for a in adtype:
                if isinstance(a, bytes): 
                    a = str(a, 'utf-8')
                adtype2.append(a)
            np_dtype2.append(tuple(adtype2))
        np_dtype = np_dtype2    
        self._EXP_COND_DTYPE = np.dtype(np_dtype)
        try:
            expCondTableName = "EXP_CV_%d"%(experiment_id)
            experimentConditionVariableTable = getattr(self.emrtFile.root.data_collection.condition_variables, _f_get_child)(expCondTableName)
            self.TABLES['EXP_CV'] = experimentConditionVariableTable
        except NoSuchNodeError as nsne:
            try:
                experimentConditionVariableTable = getattr(self.emrtFile, create_table)(self.emrtFile.root.data_collection.condition_variables, expCondTableName, self._EXP_COND_DTYPE, title='Condition Variable Values for Experiment ID %d' % (experiment_id))
                self.TABLES['EXP_CV'] = experimentConditionVariableTable
                self.emrtFile.flush()
            except Exception:
                printExceptionDetailsToStdErr()
                return False
        except Exception:
            print2err(
                'Error getting expcv_table for experiment %d, table name: %s' %
                (experiment_id, expCondTableName))
            printExceptionDetailsToStdErr()
            return False
        self._activeRunTimeConditionVariableTable = expcv_table
        return True


    def extendConditionVariableTable(self, experiment_id, session_id, data):
        if self._EXP_COND_DTYPE is None:
            return False
        if self.emrtFile and 'EXP_CV' in self.TABLES:
            temp = [experiment_id,session_id]
            temp.extend(data)
            data = temp
            try:
                etable = self.TABLES['EXP_CV']
                for i, d in enumerate(data):
                    if isinstance(d, (list, tuple)):
                        data[i] = tuple(d)
                np_array = np.array([tuple(data), ],
                                    dtype=self._EXP_COND_DTYPE)
                etable.append(np_array)
                self.bufferedFlush()
                return True
            except Exception:
                printExceptionDetailsToStdErr()
        return False

    def addMetaDataToFile(self, metaData):
        pass

    def checkForExperimentAndSessionIDs(self, event=None):
        if self.active_experiment_id is None or self.active_session_id is None:
            exp_id = self.active_experiment_id
            if exp_id is None:
                exp_id = 0
            sess_id = self.active_session_id
            if sess_id is None:
                sess_id = 0
            return False
        return True

    def checkIfSessionCodeExists(self, sessionCode):
        if self.emrtFile:
            sessionsForExperiment = self.emrtFile.root.data_collection.session_meta_data.where(
                'experiment_id == %d' % (self.active_experiment_id,))
            sessionCodeMatch = [
                sess for sess in sessionsForExperiment if sess['code'] == sessionCode]
            if len(sessionCodeMatch)>0:
                return True
            return False

    def _handleEvent(self, event):
        try:
            if self.checkForExperimentAndSessionIDs(event) is False:
                return False
            etype = event[DeviceEvent.EVENT_TYPE_ID_INDEX]
            eventClass = EventConstants.getClass(etype)
            etable = self.TABLES[eventClass.IOHUB_DATA_TABLE]
            event[DeviceEvent.EVENT_EXPERIMENT_ID_INDEX] = self.active_experiment_id
            event[DeviceEvent.EVENT_SESSION_ID_INDEX] = self.active_session_id

            np_array = np.array([tuple(event), ], dtype=eventClass.NUMPY_DTYPE)
            etable.append(np_array)
            self.bufferedFlush()
        except Exception:
            print2err("Error saving event: ", event)
            printExceptionDetailsToStdErr()

    def _handleEvents(self, events):
        try:
            if self.checkForExperimentAndSessionIDs(len(events)) is False:
                return False

            event = events[0]

            etype = event[DeviceEvent.EVENT_TYPE_ID_INDEX]
            eventClass = EventConstants.getClass(etype)
            etable = self.TABLES[eventClass.IOHUB_DATA_TABLE]

            np_events = []
            for event in events:
                event[DeviceEvent.EVENT_EXPERIMENT_ID_INDEX] = self.active_experiment_id
                event[DeviceEvent.EVENT_SESSION_ID_INDEX] = self.active_session_id
                np_events.append(tuple(event))

            np_array = np.array(np_events, dtype=eventClass.NUMPY_DTYPE)
            etable.append(np_array)
            self.bufferedFlush(len(np_events))
        except ioHubError as e:
            print2err(e)
        except Exception:
            printExceptionDetailsToStdErr()

    def bufferedFlush(self,eventCount=1):
        """
        If flushCounter threshold is >=0 then do some checks. If it is < 0,
        then flush only occurs when command is sent to ioHub,
        so do nothing here.
        """
        if self.flushCounter >= 0:
            if self.flushCounter == 0:
                self.flush()
                return True
            if self.flushCounter <= self._eventCounter:
                self.flush()
                self._eventCounter = 0
                return True
            self._eventCounter += eventCount
            return False

    def flush(self):
        try:
            if self.emrtFile:
                self.emrtFile.flush()
        except tables.ClosedFileError:
            pass
        except Exception:
            printExceptionDetailsToStdErr()

    def close(self):
        self.flush()
        self._activeRunTimeConditionVariableTable = None
        self.emrtFile.close()

    def __del__(self):
        try:
            self.close()
        except Exception:
            pass

## -------------------- Utility Functions ------------------------ ##


def close_open_data_files(verbose):
    open_files = tables.file._open_files
    clall = hasattr(open_files, 'close_all')
    if clall:
        open_files.close_all()
    else:
        are_open_files = len(open_files) > 0
        if verbose and are_open_files:
            print2err('Closing remaining open data files:')
        for fileh in open_files:
            if verbose:
                print2err('%s...' % (open_files[fileh].filename,))
            open_files[fileh].close()
            if verbose:
                print2err('done')

registered_close_open_data_files = True
atexit.register(close_open_data_files, False)

## ---------------------- Pytable Definitions ------------------- ##


class ClassTableMappings(tables.IsDescription):
    class_id = UInt32Col(pos=1)
    class_type_id = UInt32Col(pos=2) # Device or Event etc.
    class_name = StringCol(32, pos=3)
    table_path  = StringCol(128, pos=4)


class ExperimentMetaData(tables.IsDescription):
    experiment_id = UInt32Col(pos=1)
    code = StringCol(24, pos=2)
    title = StringCol(48, pos=3)
    description  = StringCol(256, pos=4)
    version = StringCol(6, pos=5)
    total_sessions_to_run = UInt16Col(pos=9)


class SessionMetaData(tables.IsDescription):
    session_id = UInt32Col(pos=1)
    experiment_id = UInt32Col(pos=2)
    code = StringCol(24, pos=3)
    name = StringCol(48, pos=4)
    comments  = StringCol(256, pos=5)
    user_variables = StringCol(2048, pos=6) # will hold json encoded version of user variable dict for session

