#! /usr/bin/env python

import sys, argparse, os.path
from datetime import datetime, timedelta
import numpy as np
import cv2
import cvutils, utils, storage
from metadata import connectDatabase, Site, CameraView, VideoSequence

parser = argparse.ArgumentParser(description='The program displays several views of the same site synchronously.')
parser.add_argument('--db', dest = 'metadataFilename', help = 'name of the metadata file', required = True)
#parser.add_argument('-n', dest = 'siteId', help = 'site id or site name', required = True)
parser.add_argument('-d', dest = 'databaseFilename', help = 'name of the Sqlite database file', required = True)
parser.add_argument('-f', dest = 'startTime', help = 'time to start playing (format %%Y-%%m-%%d %%H:%%M:%%S, eg 2011-06-22 10:00:39)', required = True)
parser.add_argument('-t', dest = 'trajectoryType', help = 'type of trajectories to display', choices = ['feature', 'object'], default = 'object')
parser.add_argument('-r', dest = 'rescale', help = 'rescaling factor for the displayed image', default = 1., type = float)
parser.add_argument('-s', dest = 'step', help = 'display every s image', default = 1, type = int)
parser.add_argument('-u', dest = 'undistort', help = 'undistort the video (because features have been extracted that way)', action = 'store_true')

args = parser.parse_args()

session = connectDatabase(args.metadataFilename)

mergedSequence = session.query(VideoSequence).filter(VideoSequence.databaseFilename == args.databaseFilename).first()
if mergedSequence is None:
    print('Video sequence {} was not found in {}. Exiting'.format(args.databaseFilename, args.metadataFilename))
    sys.exit()

dirname = os.path.split(args.metadataFilename)[0]

frameRate = mergedSequence.cameraView.cameraType.frameRate
startTime = datetime.strptime(args.startTime, utils.datetimeFormat)
mergedFirstFrameNum = utils.deltaFrames(mergedSequence.startTime, startTime, frameRate)

cameraViews = session.query(CameraView).filter(CameraView.site == mergedSequence.cameraView.site).filter(CameraView.virtual == False).all()
videoSequences = session.query(VideoSequence).filter(VideoSequence.virtual == False).all()
#videoSequences.remove(mergedSequence)
videoSequences = [v for v in videoSequences if v.cameraView in cameraViews and (v.containsInstant(startTime) or v.startTime > startTime)]
filenames = [dirname+os.path.sep+v.getVideoSequenceFilename() for v in videoSequences]
firstFrameNums = [utils.deltaFrames(v.startTime, startTime, frameRate) for v in videoSequences] # use pos/neg first frame nums
windowNames = [v.cameraView.description for v in videoSequences]

# homography and undistort
homographies = [np.linalg.inv(np.loadtxt(dirname+os.path.sep+v.cameraView.getHomographyFilename())) for v in videoSequences]
if args.undistort:
    cameraTypes = set([cv.cameraType for cv in cameraViews])
    for cameraType in cameraTypes:
        cameraType.computeUndistortMaps()

objects = storage.loadTrajectoriesFromSqlite(dirname+os.path.sep+mergedSequence.getDatabaseFilename(), args.trajectoryType)
for obj in objects:
    obj.projectedPositions = {}

#def playVideo(filenames, windowNames = None, firstFrameNums = None, frameRate = -1, interactive = False, printFrames = True, text = None, rescale = 1., step = 1):
if len(filenames) == 0:
    print('Empty filename list')
    sys.exit()

if windowNames is None:
    windowNames = ['frame{}'.format(i) for i in xrange(len(filenames))]
#wait = 5
#if rescale == 1.:
for windowName in windowNames:
    cv2.namedWindow(windowName, cv2.WINDOW_NORMAL)
#if frameRate > 0:
#    wait = int(round(1000./frameRate))
#if interactive:
wait = 0
rescale = 1.
captures = [cv2.VideoCapture(fn) for fn in filenames]
if np.array([cap.isOpened() for cap in captures]).all():
    key = -1
    ret = True
    nFramesShown = 0
    for i in xrange(len(captures)):
        if firstFrameNums[i] > 0:
            captures[i].set(cv2.cv.CV_CAP_PROP_POS_FRAMES, firstFrameNums[i])
    while ret and not cvutils.quitKey(key):
        rets = []
        images = []
        for i in xrange(len(captures)):
            if firstFrameNums[i]+nFramesShown>=0:
                ret, img = captures[i].read()
                if ret and args.undistort:
                    img = cv2.remap(img, videoSequences[i].cameraView.cameraType.map1, videoSequences[i].cameraView.cameraType.map2, interpolation=cv2.INTER_LINEAR)
                rets.append(ret)
                images.append(img)
            else:
                rets.append(False)
                images.append(None)                
        if np.array(rets).any():
            #if printFrames:
            print('frame shown {0}'.format(nFramesShown))
            for i in xrange(len(filenames)):
                if rets[i]:#firstFrameNums[i]+nFramesShown>=0:
                    for obj in objects:
                        if obj.existsAtInstant(mergedFirstFrameNum+nFramesShown):
                            #print obj.num, obj.timeInterval, mergedFirstFrameNum, nFramesShown
                            if i not in obj.projectedPositions:
                                if homographies[i] is not None:
                                    obj.projectedPositions[i] = obj.positions.homographyProject(homographies[i])
                                else:
                                    obj.projectedPositions[i] = obj.positions
                            cvutils.cvPlot(images[i], obj.projectedPositions[i], cvutils.cvColors['default'][obj.getNum()], int(mergedFirstFrameNum+nFramesShown)-obj.getFirstInstant())

                    #if text is not None:
                    #    cv2.putText(images[i], text, (10,50), cv2.FONT_HERSHEY_PLAIN, 1, cvRed['default'])
                    cvutils.cvImshow(windowNames[i], images[i], rescale) # cv2.imshow('frame', img)
            key = cv2.waitKey(wait)
            #if cvutils.saveKey(key):
            #    cv2.imwrite('image-{}.png'.format(frameNum), img)
        nFramesShown += args.step
        if args.step > 1:
            for i in xrange(len(captures)):
                if firstFrameNums[i]+nFramesShown >= 0:
                    captures[i].set(cv2.cv.CV_CAP_PROP_POS_FRAMES, firstFrameNums[i]+nFramesShown)
    cv2.destroyAllWindows()
else:
    print('Video captures for {} failed'.format(filenames))
