from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals

# All the Courses related methods

# Python
from django.utils import timezone
from datetime import datetime
from datetime import timedelta
import time
from django.db import IntegrityError
import uuid
from django.conf import settings

import geocoder

from matplotlib import path
import xml.etree.ElementTree as et

from xml.etree.ElementTree import Element, SubElement, Comment, tostring
from xml.dom import minidom

from rowers.models import VirtualRace

# distance of course from lat_lon in km
def howfaris(lat_lon,course):
    coords = course.coord
    distance =  geo_distance(lat_lon[0],lat_lon[1],coords[0],coords[1])[0]

    return distance

#whatisnear = 150

# get nearest races
def getnearestraces(lat_lon,races,whatisnear=150):
    newlist = []
    counter = 0
    for race in races:
        if race.course is None: # pragma: no cover
            newlist.append(race)
        else:
            c = race.course
            coords = c.coord
            distance =  howfaris(lat_lon,c)
            if distance < whatisnear:
                newlist.append(race)
                counter += 1

    if counter>0:
        races = newlist
    else:
        courseraces = races.exclude(course__isnull=True)
        orders = [(c.id,howfaris(lat_lon,c.course)) for c in courseraces]
        orders = sorted(orders,key = lambda tup:tup[1])
        ids = [id for id,distance in orders[0:4]]
        for id, distance in orders[5:]: # pragma: no cover
            if distance<whatisnear:
                ids.append(id)

        for id in ids:
            newlist.append(VirtualRace.objects.get(id=id))
        races = newlist

    return races

def getnearestcourses(lat_lon,courses,whatisnear=150,strict=False):

    newlist = []
    counter = 0
    for c in courses:
        coords = c.coord
        distance =  howfaris(lat_lon,c)

        if distance < whatisnear:
            newlist.append(c)
            counter += 1

    if counter>0:
        courses = newlist
    elif strict:
        courses = newlist
    else:
        orders = [(c.id,howfaris(lat_lon,c)) for c in courses]
        orders = sorted(orders,key = lambda tup:tup[1])
        ids = [id for id,distance in orders[0:4]]
        for id, distance in orders[5:]:
            if distance<whatisnear: # pragma: no cover
                ids.append(id)

        for id in ids:
            newlist.append(GeoCourse.objects.get(id=id))
        courses = newlist

    return courses


def prettify(elem):
    """Return a pretty-printed XML string for the Element.
    """
    rough_string = tostring(elem, 'utf-8')
    reparsed = minidom.parseString(rough_string)
    return reparsed.toprettyxml(indent="  ")

import pandas as pd
import numpy as np
from timezonefinder import TimezoneFinder

import rowers.dataprep as dataprep
from rowers.utils import geo_distance

ns = {'opengis': 'http://www.opengis.net/kml/2.2'}

xmlns_uris_dict = {'gx': 'http://www.google.com/kml/ext/2.2',
                   'kml': 'http://www.google.com/kml/ext/2.2',
                   'atom': "http://www.w3.org/2005/Atom",
                   '': "http://www.opengis.net/kml/2.2"}


from rowers.models import (
    Rower, Workout,
    GeoPoint,GeoPolygon, GeoCourse,
    course_length,course_coord_center,course_coord_maxmin,
    polygon_coord_center,PlannedSession,
    polygon_to_path,coordinate_in_path
    )


from rowers.courseutils import coursetime_paths, coursetime_first,time_in_path


def crewnerdcourse(doc):
    courses = []
    for course in doc:
        name = course.findall('.//opengis:name',ns)[0].text
        try:
            description = course.findall('.//opengis:description',ns)[0].text
        except IndexError:
            description = ''

        polygonpms = course.findall('.//opengis:Placemark[opengis:Polygon]',ns)
        polygons = get_polygons(polygonpms)

        courses.append({
            'name':name,
            'description':description,
            'polygons':polygons
            })

    return courses

def get_polygons(polygonpms):
    polygons = []
    for pm in polygonpms:
        name = pm.findall('.//opengis:name',ns)[0].text
        coordinates = pm.findall('.//opengis:coordinates',ns)
        if coordinates:
            cc = coordinates[0].text
        else: # pragma: no cover
            cc = ''

        pointstring = cc.split()

        points = []
        for s in pointstring:
            coordinates = s.split(',')
            points.append({
                'longitude':float(coordinates[0]),
                'latitude':float(coordinates[1]),
                })

        polygons.append({
            'name':name,
            'points':points
            })


    return polygons


def coursetokml(course):
    top = Element('kml')
    for prefix, uri in xmlns_uris_dict.items():
        if prefix != '':
            top.attrib['xmlns:' + prefix] = uri
        else:
            top.attrib['xmlns'] = uri

    document = SubElement(top,'Document')
    name = SubElement(document, 'name')
    name.text = 'Courses.kml'
    folder = SubElement(document,'Folder')
    foldername = SubElement(folder,'name')
    foldername.text = 'Courses'
    folder2 = SubElement(folder,'Folder')
    coursename = SubElement(folder2,'name')
    coursename.text = course.name
    open = SubElement(folder2,'open')
    open.text = '1'

    polygons = GeoPolygon.objects.filter(course=course).order_by("order_in_course")

    polygonsxml = []

    for polygon in polygons:
        placemark = SubElement(folder2,'Placemark')
        polygonname = SubElement(placemark,'name')
        polygonname.text = polygon.name
        p = SubElement(placemark,'Polygon')
        tessellate = SubElement(p,'tessellate')
        tessellate.text = '1'
        boundary = SubElement(p,'outerBoundaryIs')
        ring = SubElement(boundary,'LinearRing')
        coordinates = SubElement(ring,'coordinates')
        coordinates.text = ''
        points = GeoPoint.objects.filter(polygon=polygon).order_by("order_in_poly")
        for point in points:
            coordinates.text += '{lon},{lat},0 '.format(
                lat = point.latitude,
                lon = point.longitude,
                )
        coordinates.text += '{lon},{lat},0'.format(
            lat = points[0].latitude,
            lon = points[0].longitude,
            )

    return prettify(top)

def kmltocourse(f):
    doc = et.parse(f)
    courses = doc.findall('.//opengis:Folder[opengis:Placemark]',ns)

    if not courses: # pragma: no cover
        courses = doc.findall('.//opengis:Document[opengis:Placemark]',ns)
        if not courses:
            courses = doc.findall('.//opengis:Placemark',ns)

    if courses:
        return crewnerdcourse(courses)

    polygonpms = doc.findall('.//opengis:Placemark[opengis:Polygon]',ns) # pragma: no cover

    return get_polygons(polygonpms) # pragma: no cover




def createcourse(
        manager,name,polygons,notes=''):

    c = GeoCourse(manager=manager,name=name,notes=notes)
    c.save()

    i = 0
    for p in polygons:
        pp = GeoPolygon(course=c,order_in_course=i,name=p['name'])
        pp.save()
        j = 0
        for point in p['points']:
            if i==0 and j==0:
                latitude = point['latitude']
                longitude = point['longitude']
                g = geocoder.osm([latitude,longitude],method='reverse')
                if g.ok:
                    country = g.json['country']
                else: # pragma: no cover
                    country = 'unknown'
                
                c.country = country
                c.save()
            obj = GeoPoint(
                latitude = point['latitude'],
                longitude = point['longitude'],
                polygon = pp,
                order_in_poly = j
                )
            obj.save()
            j += 1
        i += 1

    c.distance = int(course_length(c))
    c.save()

    return c


def get_time_course(ws,course): # pragma: no cover
    coursetimeseconds = 0.0
    coursecompleted = False

    w = ws[0]
    columns = ['time',' latitude',' longitude','cum_dist']
    rowdata = dataprep.getsmallrowdata_db(
        columns,
        ids = [w.id],
        doclean=False,
        workstrokesonly=False
    )

    rowdata.rename(columns = {
        ' latitude':'latitude',
        ' longitude':'longitude',
        }, inplace=True)


    rowdata['time'] = rowdata['time']/1000.

    rowdata.fillna(method='backfill',inplace=True)

    rowdata['time'] = rowdata['time']-rowdata.ix[0,'time']
    # we may want to expand the time (interpolate)
    rowdata['dt'] = rowdata['time'].apply(
        lambda x: timedelta(seconds=x)
        )
    rowdata = rowdata.resample('100ms',on='dt').mean()
    rowdata = rowdata.interpolate()

    # create path
    polygons = GeoPolygon.objects.filter(course=course).order_by("order_in_course")
    paths = []
    for polygon in polygons:
        path = polygon_to_path(polygon)
        paths.append(path)




    (
        coursetimeseconds,
        coursemeters,
        coursecompleted,

    ) = coursetime_paths(rowdata,paths)
    (
        coursetimefirst,
        coursemetersfirst,
        firstcompleted
    ) = coursetime_first(
        rowdata,paths)

    coursetimeseconds = coursetimeseconds-coursetimefirst
    coursemeters = coursemeters-coursemetersfirst

    return coursetimeseconds,coursemeters,coursecompleted

def replacecourse(course1,course2):
    ps = PlannedSession.objects.filter(course=course1)
    for p in ps:
        p.course = course2
        p.save()

    course1.delete()

    return 1