var fs = require('fs')
  , test = require('tape')
  , cv = null



test("Smoke tests / Can Import", function(t){
  cv = require('../lib/opencv')
  t.ok(cv, "imported fine")
  t.ok(cv.version, "version is there:" + cv.version)
  t.ok(cv.Point, "point is there")
  t.ok(cv.Matrix, "matrix is there")
  t.end()
})


test('importing library multiple times is ok', function(t){
  var cv1 = require('../lib/opencv')
    , cv2 = require('../lib/opencv')
    cv1.readImage('./examples/files/mona.png', function(err, im){
      t.error(err)
      cv2.readImage('./examples/files/mona.png', function(err, im){
        t.error(err)
        t.end();
      });
    });
})


test('Point', function(t){

  t.ok(new cv.Point(1, 2))
  t.throws(function () { cv.Point(1, 2)}, TypeError, "cannot call without new")

  t.equal(new cv.Point(1, 2).x, 1)
  t.equal(new cv.Point(1, 2).y, 2)
  t.equal(Math.round(new cv.Point(1.1, 2).x * 100), 110)
  t.equal(Math.round(new cv.Point(1.2, 2.75).y *100), 275)

  t.throws(function () {new cv.Point(1.1, 2).x = 5}, Error, "Points are immutable")
  t.throws(function () {new cv.Point(1.1, 2).y = 5}, Error, "Points are immutable")

  var p1 = new cv.Point(3, 6)
    , p2 = new cv.Point(5, 7)

  t.ok(p1.dot);
  t.equal(p1.dot(p2), 57);

  t.end()
})


test('Matrix constructor', function(assert){
  assert.ok(cv.Matrix);
  assert.ok(new cv.Matrix);
  assert.ok(new cv.Matrix(1,2));
  assert.end()
})

test('Matrix accessors', function(assert){
  var mat = new cv.Matrix(1, 2);
  mat.set(0,0,3)
  mat.set(0,1,5000)
  assert.deepEqual(mat.row(0), [3,5000]);

  mat = new cv.Matrix(1,2);
  assert.equal(mat.set(0,0,3), undefined);
  assert.equal(mat.get(0,0), 3);

  mat = new cv.Matrix(6,7);
  assert.equal(mat.width(), 7);

  mat = new cv.Matrix(6,7);
  assert.equal(mat.height(), 6);

  mat = new cv.Matrix(6,7);
  assert.deepEqual(mat.size(), [6, 7]);

  mat = new cv.Matrix(6,7);
  assert.equal(mat.width(), 7);
  mat.resize(8,9);
  assert.equal(mat.width(), 8);

  mat = new cv.Matrix.Eye(4,4)
  assert.deepEqual(mat.row(1), [0,1,0,0])
  assert.deepEqual(mat.row(2), [0,0,1,0])

  mat = new cv.Matrix.Eye(4,4);
  assert.deepEqual(mat.col(1), [0,1,0,0])
  assert.deepEqual(mat.col(2), [0,0,1,0])

  assert.equal(new cv.Matrix().empty(), true);

  assert.end()
})


test("Matrix toBuffer", function(assert){
  var buf = fs.readFileSync('./examples/files/mona.png')

  cv.readImage(buf.slice(0), function(err, mat){
    var buf0 = mat.toBuffer()
    assert.ok(buf0);
    assert.end()
  })
})



test("Matrix toBuffer Async", function(assert){
  var buf = fs.readFileSync('./examples/files/mona.png')

  cv.readImage(buf.slice(0), function(err, mat){
    mat.toBuffer(function(err, buff){
      assert.error(err)
      assert.ok(buf)
      assert.ok(buf.length > 100)

      assert.end()
    })
  })
})

/*


    , "detectObject": {

     topic : function(){
        var cv = require('../lib/opencv')
          , cb = this.callback

        cv.readImage("./examples/files/mona.png", function(err, im){
          im.detectObject(cv.FACE_CASCADE, {}, cb)
        })
      }

      , "finds face": function(err, faces){
          assert.isNull(err);
          assert.isArray(faces);
          assert.equal(faces.length, 1)
      }
    }

    , ".absDiff and .countNonZero" : function(cv) {
      cv.readImage("./examples/files/mona.png", function(err, im) {
        cv.readImage("./examples/files/mona.png", function(err, im2){
          assert.ok(im);
          assert.ok(im2);

          var diff = new cv.Matrix(im.width(), im.height());
          diff.absDiff(im, im2);

          diff.convertGrayscale();
          assert.equal(diff.countNonZero(), 0);
        });
      });
    }

    , ".bitwiseXor" : function(cv) {
      var mat1 = new cv.Matrix(1,1);
      mat1.set(0,0, 1);

      var mat2 = new cv.Matrix(1,1);
      mat2.set(0,0, 1);

      var xored = new cv.Matrix(1,1);
      xored.bitwiseXor(mat1, mat2);

      assert.equal(xored.get(0,0), 0);
    }

  }



  , "Image" : {
    topic : require('../lib/opencv')

    , ".readImage from file": function(cv){
      cv.readImage("./examples/files/mona.png", function(err, im){
        assert.ok(im);
        assert.equal(im.width(), 500);
        assert.equal(im.height(), 756)
        assert.equal(im.empty(), false)
      })
    }

    , ".readImage from buffer" : function(cv){
      cv.readImage(fs.readFileSync('./examples/files/mona.png'), function(err, im){
        assert.ok(im);
        assert.equal(im.width(), 500);
        assert.equal(im.height(), 756)
        assert.equal(im.empty(), false)
      })

    }

  }


  , "CascadeClassifier": {
    topic : require('../lib/opencv')

    , "constructor" : function(cv){
      assert.ok(new cv.CascadeClassifier("./data/haarcascade_frontalface_alt.xml"))
    }

    , "face detection": {
      topic : function(){
        var cv = require('../lib/opencv')
          , self = this

        cv.readImage("./examples/files/mona.png", function(err, im){
          cascade = new cv.CascadeClassifier("./data/haarcascade_frontalface_alt.xml");
          cascade.detectMultiScale(im, self.callback)//, 1.1, 2, [30, 30]);
        })

      }

      , "finds face": function(err, faces){
          assert.isNull(err);
          assert.isArray(faces);
          assert.equal(faces.length, 1)

      }
    }

  }


  , "ImageDataStream" : {
    topic : require('../lib/opencv')

    , "pipe" : {
      topic : function(cv){
        var s = new cv.ImageDataStream()
          , self = this
        s.on('load', function(im){ 
          assert.ok(im)
          assert.equal(im.empty(), false);
          self.callback()
        }) 
        fs.createReadStream('./examples/files/mona.png').pipe(s);
      }

      , "loaded" : function(im){
        //assert.ok(im)
        //assert.equal(im.empty(), false);
      }
    }


  }
  , "ImageStream" :{
    topic : require('../lib/opencv')
    , "write" : {
      topic: function(cv){
        var s = new cv.ImageStream()
          , im = fs.readFileSync('./examples/files/mona.png')
          , self = this;

        s.on('data', function(m){
          self.callback(null, m)
        })
        s.write(im);
      }
      , "receives data" : function(mat){
        assert.deepEqual(mat.size(), [756,500])
      }
    }

  }
  , "ObjectDetectionStream" :{
    topic : require('../lib/opencv')
  }
*/


test("CamShift", function(assert){
  cv.readImage('./examples/files/coin1.jpg', function(e, im){
    cv.readImage('./examples/files/coin2.jpg', function(e, im2){
      var tracked = new cv.TrackedObject(im, [420, 110, 490, 170], {channel: 'v'});
      assert.ok(tracked);
      var res = tracked.track(im2)
      assert.ok(res);
      assert.ok(res[0]  < 396)
      assert.ok(res[0]  > 376)
      assert.ok(res[1]  < 122)
      assert.ok(res[1]  > 102)
      assert.ok(res[2]  < 469)
      assert.ok(res[2]  > 449)
      assert.ok(res[3]  < 176)
      assert.ok(res[3]  > 156)
      assert.end()
    })
  })
})

test("fonts", function(t) {

  function rnd() {
    return Math.round(Math.random() * 255);
  };

  cv.readImage('./examples/files/coin1.jpg', function(e, im){
    var y = 0;

    ([
      "HERSEY_SIMPLEX",
      "HERSEY_PLAIN",
      "HERSEY_DUPLEX",
      "HERSEY_COMPLEX",
      "HERSEY_TRIPLEX",
      "HERSEY_COMPLEX_SMALL",
      "HERSEY_SCRIPT_SIMPLEX",
      "HERSEY_SCRIPT_COMPLEX",
      "HERSEY_SCRIPT_SIMPLEX"
    ]).forEach(function(font) {
      im.putText("Some text", 0, y += 20, font, [rnd(), rnd(), rnd()]);
    });

    t.ok(im, "image is ok")
    //im.save("./examples/tmp/coin1-with-text.jpg");
    t.end();
  });
})