Blockly.Msg["UGJ_DRAW_GRIDEYEDATA_TITLE"] = "赤外線アレイセンサ画像表示 %1 温度データ %2 温度範囲上限 %3 %4 温度範囲下限 %5 %6";
Blockly.Msg["UGJ_DRAW_GRIDEYEDATA_TOOLTIP"] = "AMG8833の温度データを、画像としてキャンバスに描画します。「着色」をチェックすると、温度範囲で設定されている色をつけて表示します。";

Blockly.Msg["UGJ_GRIDEYE_INIT_TITLE"] = "赤外線アレイセンサ（アドレス： %1 ）を初期化";
Blockly.Msg["UGJ_GRIDEYE_INIT_TOOLTIP"] = "赤外線アレイセンサ AMG8833 の使用準備をします。";
Blockly.Msg["UGJ_GRIDEYE_THERMISTOR_TITLE"] = "赤外線アレイセンサ本体温度";
Blockly.Msg["UGJ_GRIDEYE_THERMISTOR_TOOLTIP"] = "AMG8833に内蔵されたサーミスタ（温度センサ）の値を取得します。";
Blockly.Msg["UGJ_GRIDEYE_READ_TITLE"] = "赤外線アレイセンサの値";
Blockly.Msg["UGJ_GRIDEYE_READ_TOOLTIP"] = "AMG8833から読み取った温度データを、8x8の配列で取得します。";
Blockly.Msg["UGJ_GRIDEYE_STOP_TITLE"] = "赤外線アレイセンサから切断";
Blockly.Msg["UGJ_GRIDEYE_STOP_TOOLTIP"] = "センサーとの接続を停止します。";
Blockly.Msg["UGJ_GRIDEYE_CANVAS_CREATE_TITLE"] = "赤外線アレイセンサデータ表示キャンバスを作成";
Blockly.Msg["UGJ_GRIDEYE_CANVAS_CREATE_TOOLTIP"] = "ディスプレイエリアにAMG8833データ表示用キャンバスを作成します。";
Blockly.Msg["UGJ_TEACHABLE_MACHINE_TITLE"] = "TensorFlow.jsによる画像分類器の準備";
Blockly.Msg["UGJ_TEACHABLE_MACHINE_TOOLTIP"] = "TensorFlow.jsにMobileNet, KNN Classifierを読み込んで、画像認識（分類）を行う準備をします。";
Blockly.Msg["UGJ_GRIDEYE_PREDICT_CLASS_TITLE"] = "赤外線アレイセンサの画像で推論を行う";
Blockly.Msg["UGJ_GRIDEYE_PREDICT_CLASS_TOOLTIP"] = "キャンバスに表示されたAMG8833の画像を元に画像分類の推論を行います。推論の結果として定義済みのラベルを返します。";
Blockly.Msg["UGJ_GRIDEYE_ADD_EXAMPLE_TITLE"] = "赤外線アレイセンサの画像にラベル %1 をつけてデータセットへ追加";
Blockly.Msg["UGJ_GRIDEYE_ADD_EXAMPLE_TOOLTIP"] = "キャンバスに表示されているAMG8833の画像にラベル（クラス名）をつけてデータセットへ追加します。";
Blockly.Msg["UGJ_TENSORSET_STRINGIFY_TITLE"] = "学習したクラスデータセットを文字列に変換";
Blockly.Msg["UGJ_TENSORSET_STRINGIFY_TOOLTIP"] = "学習したクラスデータセットを文字列に変換して保存します。";
Blockly.Msg["UGJ_TENSORSET_PARSE_TITLE"] = "クラスデータ文字列 %1 を画像分類器にセット";
Blockly.Msg["UGJ_TENSORSET_PARSE_TOOLTIP"] = "JSONテキストをパースして画像分類器に戻します。";

/******************* */
/** Init Grid-Eye ** */
/******************* */
Blockly.defineBlocksWithJsonArray([{
    "type": "ugj_grideye_init",
    "message0": "%{BKY_UGJ_GRIDEYE_INIT_TITLE}",
    "args0": [
        {
            "type": "field_dropdown",
            "name": "addr",
            "options": [
                [
                    "0x68",
                    "0x68"
                ],
                [
                    "0x69",
                    "0x69"
                ]
            ]
        }
    ],
    "inputsInline": true,
    "previousStatement": null,
    "nextStatement": null,
    "tooltip": "%{BKY_UGJ_GRIDEYE_INIT_TOOLTIP}",
    "helpUrl": "",
    "style": "sensor_blocks"
}]);
Blockly.JavaScript['ugj_grideye_init'] = function (block) {
    var dropdown_addr = block.getFieldValue('addr');
    // Blockly.JavaScript.provideFunction_(
    //     'require_gpio', [`const _pi = require('` + apptool.gpio_lib + `');`]
    // );
    let modpath = apptool.path.join(apptool.blocks_dir, 'sensors', 'amg8833', `AMG8833x.js`);
    Blockly.JavaScript.provideFunction_(
        'require_amg8833', [`const _amg8833 = require('${modpath}');`]
    );
    var code = `await _amg8833.init(${apptool.i2c_bus}, ${dropdown_addr}, window.addEventListener);\n`;
    return code;//
};
/********************** */
/** Grid-Eye 本体温度 ** */
/********************** */
Blockly.defineBlocksWithJsonArray([{
    "type": "ugj_grideye_thermistor",
    "message0": "%{BKY_UGJ_GRIDEYE_THERMISTOR_TITLE}",
    "output": "Number",
    "tooltip": "%{BKY_UGJ_GRIDEYE_THERMISTOR_TOOLTIP}",
    "helpUrl": "",
    "style": "sensor_blocks"
}]);
Blockly.JavaScript['ugj_grideye_thermistor'] = function (block) {
    var code = `await _amg8833.read_thermistor()`;
    return [code, Blockly.JavaScript.ORDER_NONE];
};

/**************************** */
/** Read Temperature Array ** */
/**************************** */
Blockly.defineBlocksWithJsonArray([{
    "type": "ugj_grideye_read",
    "message0": "%{BKY_UGJ_GRIDEYE_READ_TITLE}",
    "inputsInline": true,
    "output": "Array",
    "tooltip": "%{BKY_UGJ_GRIDEYE_READ_TOOLTIP}",
    "helpUrl": "",
    "style": "sensor_blocks"
}]);
Blockly.JavaScript['ugj_grideye_read'] = function (block) {
    var code = 'await _amg8833.read_temp_array()';
    return [code, Blockly.JavaScript.ORDER_ATOMIC];
};
/******************* */
/** Stop Grid-Eye ** */
/******************* */
Blockly.defineBlocksWithJsonArray([{
    "type": "ugj_grideye_stop",
    "message0": "%{BKY_UGJ_GRIDEYE_STOP_TITLE}",
    "inputsInline": true,
    "previousStatement": null,
    "nextStatement": null,
    "tooltip": "%{BKY_UGJ_GRIDEYE_STOP_TOOLTIP}",
    "helpUrl": "",
    "style": "sensor_blocks"
}]);
Blockly.JavaScript['ugj_grideye_stop'] = function (block) {
    var code = 'await _amg8833.stop();\n';
    return code;
};


/***************************** */
/** GridEye 表示キャンバス作成 ** */
/***************************** */
Blockly.defineBlocksWithJsonArray([{
    "type": "ugj_grideye_canvas_create",
    "message0": "%{BKY_UGJ_GRIDEYE_CANVAS_CREATE_TITLE}",
    "inputsInline": true,
    "previousStatement": null,
    "nextStatement": null,
    "tooltip": "%{BKY_UGJ_GRIDEYE_CANVAS_CREATE_TOOLTIP}",
    "helpUrl": "",
    "style": "multimedia_blocks"
}]);
Blockly.JavaScript['ugj_grideye_canvas_create'] = function (block) {
    var code = `let _grideye_canvas = document.createElement('canvas');
  _grideye_canvas.setAttribute('width', 8);
  _grideye_canvas.setAttribute('height', 8);
  _grideye_canvas.className = 'subdisplay';
  _grideye_canvas.style.width = '160px';
  _grideye_canvas.style.height = '160px';
  _grideye_canvas.id = 'subcanvas';
  document.getElementById('display_area').appendChild(_grideye_canvas);
  _grideye_ctx = _grideye_canvas.getContext('2d', {willReadFrequently: true});
  _grideye_imgData = _grideye_ctx.createImageData(8, 8);
  `;
    return code;
};
/********************************************** */
/** Draw IR Array Data to Image Data ** */
/********************************************** */

Blockly.defineBlocksWithJsonArray([{
    "type": "ugj_draw_grideyedata",
    "message0": "%{BKY_UGJ_DRAW_GRIDEYEDATA_TITLE}",
    "args0": [
        {
            "type": "input_dummy"
        },
        {
            "type": "input_value",
            "name": "amg8833data",
            "check": "Array",
            "align": "RIGHT"
        },
        {
            "type": "field_colour",
            "name": "color_high",
            "colour": "#ff0000"
        },
        {
            "type": "input_value",
            "name": "temp_high",
            "check": "Number",
            "align": "RIGHT"
        },
        {
            "type": "field_colour",
            "name": "color_low",
            "colour": "#3333ff"
        },
        {
            "type": "input_value",
            "name": "temp_low",
            "check": "Number",
            "align": "RIGHT"
        }
    ],
    "inputsInline": false,
    "previousStatement": null,
    "nextStatement": null,
    "tooltip": "%{BKY_UGJ_DRAW_GRIDEYEDATA_TOOLTIP}",
    "helpUrl": "",
    "style": "multimedia_blocks"
}]);
Blockly.JavaScript['ugj_draw_grideyedata'] = function (block) {
    var value_amg8833data = Blockly.JavaScript.valueToCode(block, 'amg8833data', Blockly.JavaScript.ORDER_ATOMIC);
    var colour_color_high = block.getFieldValue('color_high');
    var value_temp_high = Blockly.JavaScript.valueToCode(block, 'temp_high', Blockly.JavaScript.ORDER_ATOMIC);
    var colour_color_low = block.getFieldValue('color_low');
    var value_temp_low = Blockly.JavaScript.valueToCode(block, 'temp_low', Blockly.JavaScript.ORDER_ATOMIC);
    var functionName = Blockly.JavaScript.provideFunction_(
        '_mapVal',
        ['const ' + Blockly.JavaScript.FUNCTION_NAME_PLACEHOLDER_ + ' = (val, inMin, inMax, outMin, outMax) => {',
            `return (val - inMin) * (outMax - outMin) / (inMax - inMin) + outMin;`,
            '}'
        ]
    );
    // 温度カラー
    let hr, hg, hb, lr, lg, lb;
    hr = '0x' + colour_color_high.slice(1, 3);
    hg = '0x' + colour_color_high.slice(3, 5);
    hb = '0x' + colour_color_high.slice(5, 7);
    lr = '0x' + colour_color_low.slice(1, 3);
    lg = '0x' + colour_color_low.slice(3, 5);
    lb = '0x' + colour_color_low.slice(5, 7);
    var code = `  const _color_range = [[${lr}, ${hr}], [${lg}, ${hg}], [${lb}, ${hb}]];
    let _grideye_data = ${value_amg8833data};//読み取りブロックを入力に直接接続できるようにする
    for (let raw = 0; raw < _grideye_canvas.height; raw++) {
        for (let col = 0; col < _grideye_canvas.width; col++) {
            for (let rgb = 0; rgb < 3; rgb++) {
                let pixel = ${functionName}(_grideye_data[raw][col], ${value_temp_low}, ${value_temp_high}, _color_range[rgb][0], _color_range[rgb][1]);
                _grideye_imgData.data[((raw * _grideye_canvas.width * 4) + col * 4) + rgb] = pixel;
            }
            _grideye_imgData.data[((raw * _grideye_canvas.width * 4) + col * 4) + 3] = 0xff;
        }
    }
    _grideye_ctx.putImageData(_grideye_imgData, 0, 0);
    
  `;
    return code;
};

/**************************** */
/** Teachable Machine を開始** */
/**************************** */
Blockly.defineBlocksWithJsonArray([{
    "type": "ugj_teachable_machine",
    "message0": "%{BKY_UGJ_TEACHABLE_MACHINE_TITLE}",
    "inputsInline": true,
    "previousStatement": null,
    "nextStatement": null,
    "tooltip": "%{BKY_UGJ_TEACHABLE_MACHINE_TOOLTIP}",
    "helpUrl": "",
    "style": "multimedia_blocks"
}]);
Blockly.JavaScript['ugj_teachable_machine'] = function (block) {
    Blockly.JavaScript.provideFunction_(
        'require_ts', [`const _tf = require('@tensorflow/tfjs-node');`]
    );
    Blockly.JavaScript.provideFunction_(
        'require_mobilenet', [`const _mobilenet = require('@tensorflow-models/mobilenet');`]
    );
    Blockly.JavaScript.provideFunction_(
        'require_knn', [`const _knnClassifier = require('@tensorflow-models/knn-classifier');`]
    );

    var code = `  const _net = await _mobilenet.load({ version: 1, alpha: 0.25 }); // 高速・低精度
  const _classifier = _knnClassifier.create();
  `;
    return code;
};
/************************* */
/** GridEye で推論を行う ** */
/************************* */
Blockly.defineBlocksWithJsonArray([{
    "type": "ugj_grideye_predict_class",
    "message0": "%{BKY_UGJ_GRIDEYE_PREDICT_CLASS_TITLE}",
    "inputsInline": true,
    "output": "Number",
    "tooltip": "%{BKY_UGJ_GRIDEYE_PREDICT_CLASS_TOOLTIP}",
    "helpUrl": "",
    "style": "multimedia_blocks"
}]);
Blockly.JavaScript['ugj_grideye_predict_class'] = function (block) {
    var functionName = Blockly.JavaScript.provideFunction_( // left output にするための関数化
        '_predictClass',
        [
            `if (_confidence === undefined) var _confidence;`,
            `const ${Blockly.JavaScript.FUNCTION_NAME_PLACEHOLDER_} = async (img, clsfr, mblnet) => {`,
            `if (clsfr.getNumClasses() > 0) {`,
            `const result = await clsfr.predictClass(mblnet.infer(img, 'conv_preds'));`,
            `_confidence = result.confidences[result.label];`,
            `return result.label;`,
            `}`,
            `else return 0;`,
            `}`
        ]
    );
    var code = `await ${functionName}(_grideye_canvas, _classifier, _net)`;
    return [code, Blockly.JavaScript.ORDER_NONE];
};
/******************************************** */
/** ラベルをつけて Example をデータセットに追加 ** */
/******************************************** */
Blockly.defineBlocksWithJsonArray([{
    "type": "ugj_grideye_add_example",
    "message0": "%{BKY_UGJ_GRIDEYE_ADD_EXAMPLE_TITLE}",
    "args0": [
        {
            "type": "input_value",
            "name": "class_id",
            "check": "Number"
        }
    ],
    "inputsInline": true,
    "previousStatement": null,
    "nextStatement": null,
    "tooltip": "%{BKY_UGJ_GRIDEYE_ADD_EXAMPLE_TOOLTIP}",
    "helpUrl": "",
    "style": "multimedia_blocks"
}]);
Blockly.JavaScript['ugj_grideye_add_example'] = function (block) {
    var value_class_id = Blockly.JavaScript.valueToCode(block, 'class_id', Blockly.JavaScript.ORDER_ATOMIC);
    var code = `_classifier.addExample (_net.infer(_grideye_canvas, true), ${value_class_id});`;
    return code;
};
/*************************** */
/** 学習したクラスを文字列化 ** */
/*************************** */
Blockly.defineBlocksWithJsonArray([{
    "type": "ugj_tensorset_stringify",
    "message0": "%{BKY_UGJ_TENSORSET_STRINGIFY_TITLE}",
    "output": null,
    "tooltip": "%{BKY_UGJ_TENSORSET_STRINGIFY_TOOLTIP}",
    "helpUrl": "",
    "style": "multimedia_blocks"
}]);
Blockly.JavaScript['ugj_tensorset_stringify'] = function (block) {
    var code = `JSON.stringify( Object.entries(_classifier.getClassifierDataset()).map(([label, data])=>[label, Array.from(data.dataSync()), data.shape]) )`;
    return [code, Blockly.JavaScript.ORDER_NONE];
};
/***************************************** */
/** jsonをデータセットに戻して分類器にセット ** */
/***************************************** */
Blockly.defineBlocksWithJsonArray([{
    "type": "ugj_tensorset_parse",
    "message0": "%{BKY_UGJ_TENSORSET_PARSE_TITLE}",
    "args0": [
        {
            "type": "input_value",
            "name": "class_data_json",
            "check": "String"
        }
    ],
    "previousStatement": null,
    "nextStatement": null,
    "tooltip": "%{BKY_UGJ_TENSORSET_PARSE_TOOLTIP}",
    "helpUrl": "",
    "style": "multimedia_blocks"
}]);
Blockly.JavaScript['ugj_tensorset_parse'] = function (block) {
    var value_class_data_json = Blockly.JavaScript.valueToCode(block, 'class_data_json', Blockly.JavaScript.ORDER_ATOMIC);
    var code = `_classifier.setClassifierDataset( Object.fromEntries( JSON.parse(${value_class_data_json}).map(([label, data, shape])=>[label, _tf.tensor(data, shape)]) ) );`;
    return code;
};

// 温度ブロック（ツールボックス上非表示）
Blockly.defineBlocksWithJsonArray([{
    "type": "ugj_temp",
    "message0": "%1",
    "args0": [
        {
            "type": "field_slider",
            "name": "temp",
            "value": 15,
            "min": 0,
            "max": 40,
            "precision": 1
        }
    ],
    "inputsInline": true,
    "output": "Number",
    "tooltip": "",
    "helpUrl": "",
    "style": "math_blocks"
}]);
Blockly.JavaScript['ugj_temp'] = function (block) {
    var number_temp = block.getFieldValue('temp');
    var code = `${number_temp}`;
    return [code, Blockly.JavaScript.ORDER_NONE];
};


flyout_contents = flyout_contents.concat([
    {
        "kind": "label",
        "text": "赤外線アレイセンサー（サーマルカメラ）AMG8833",
        "web-line": "4.0",
        "web-line-width": "200"
    },
    {
        "kind": "block",
        "type": "ugj_grideye_init",
        "fields": {
            "addr": "0x69"
        }
    },
    {
        "kind": "block",
        "type": "ugj_grideye_thermistor"
    },
    {
        "kind": "block",
        "type": "ugj_grideye_read"
    },
    {
        "kind": "block",
        "type": "ugj_grideye_stop"
    },
    {
        "kind": "block",
        "type": "ugj_grideye_canvas_create"
    },
    {
        "kind": "block",
        "type": "ugj_draw_grideyedata",
        "fields": {
            "color_high": "#ff0000",
            "color_low": "#3333ff"
        },
        "inputs": {
            "temp_high": {
                "shadow": {
                    "type": "ugj_temp",
                    "fields": {
                        "temp": "28"
                    }
                }
            },
            "temp_low": {
                "shadow": {
                    "type": "ugj_temp",
                    "fields": {
                        "temp": "15"
                    }
                }
            }
        }
    },
    {
        "kind": "block",
        "type": "ugj_teachable_machine"
    },
    {
        "kind": "block",
        "type": "ugj_grideye_predict_class"
    },
    {
        "kind": "block",
        "type": "ugj_grideye_add_example",
        "inputs": {
            "class_id": {
                "shadow": {
                    "type": "math_number",
                    "fields": {
                        "NUM": "0"
                    }
                }
            }
        }
    },
    {
        "kind": "block",
        "type": "ugj_tensorset_stringify"
    },
    {
        "kind": "block",
        "type": "ugj_tensorset_parse"
    }
]);