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<?php return [
    'version' => '1.0',
    'info' => [
        'style' => 'RPC',
        'product' => 'documentAutoml',
        'version' => '2022-12-29',
    ],
    'directories' => [
        'PredictTemplateModel',
        'PredictModel',
        'PredictClassifierModel',
        'CreateModelAsyncPredict',
        'GetModelAsyncPredict',
        'PredictPreTrainModel',
    ],
    'components' => [
        'schemas' => [],
    ],
    'apis' => [
        'PredictTemplateModel' => [
            'summary' => '模板服务预测目前包括两种类型:自定义KV模板和自定义表格模板。',
            'methods' => [
                'post',
            ],
            'schemes' => [
                'http',
                'https',
            ],
            'security' => [
                [
                    'AK' => [],
                ],
            ],
            'operationType' => 'read',
            'deprecated' => false,
            'systemTags' => [
                'operationType' => 'get',
                'riskType' => 'none',
                'chargeType' => 'free',
            ],
            'parameters' => [
                [
                    'name' => 'TaskId',
                    'in' => 'query',
                    'schema' => [
                        'description' => '任务ID',
                        'type' => 'integer',
                        'format' => 'int64',
                        'required' => true,
                        'example' => '1',
                    ],
                ],
                [
                    'name' => 'Content',
                    'in' => 'query',
                    'schema' => [
                        'description' => '图片或pdf文件访问URL地址',
                        'type' => 'string',
                        'required' => false,
                        'example' => 'https://doc-automl-public.oss-cn-hangzhou.aliyuncs.com/demo/demo.png',
                    ],
                ],
                [
                    'name' => 'BinaryToText',
                    'in' => 'query',
                    'schema' => [
                        'description' => 'content字段是图片URL时:false'."\n"
                            .'body为base64的内容时:true',
                        'type' => 'boolean',
                        'required' => false,
                        'example' => 'false:表示content传入的是url'."\n"
                            .'true:表示body是直接传入图片进行base64的内容'."\n",
                    ],
                ],
                [
                    'name' => 'Body',
                    'in' => 'formData',
                    'schema' => [
                        'description' => '图片base64编码内容',
                        'type' => 'string',
                        'required' => false,
                        'example' => 'data:image/png;base64,xxxxx',
                    ],
                ],
            ],
            'responses' => [
                200 => [
                    'schema' => [
                        'title' => 'Schema of Response',
                        'description' => 'Schema of Response',
                        'type' => 'object',
                        'properties' => [
                            'RequestId' => [
                                'title' => 'Id of the request',
                                'description' => 'Id of the request',
                                'type' => 'string',
                                'example' => 'F25FBAB4-665A-5D85-8AEF-39AE29F7D588',
                            ],
                            'Data' => [
                                'description' => '返回数据',
                                'type' => 'object',
                                'example' => '{'."\n"
                                    .'    "score": 0.9091,'."\n"
                                    .'    "data": ['."\n"
                                    .'      {'."\n"
                                    .'        "prob": 1,'."\n"
                                    .'        "fieldName": "姓名",'."\n"
                                    .'        "fieldWordRaw": "方大呆",'."\n"
                                    .'        "wordInfo": ['."\n"
                                    .'          {'."\n"
                                    .'            "prob": 0.9899999999999999,'."\n"
                                    .'            "location": ['."\n"
                                    .'              {'."\n"
                                    .'                "x": 119,'."\n"
                                    .'                "y": 48'."\n"
                                    .'              },'."\n"
                                    .'              {'."\n"
                                    .'                "x": 199,'."\n"
                                    .'                "y": 48'."\n"
                                    .'              },'."\n"
                                    .'              {'."\n"
                                    .'                "x": 199,'."\n"
                                    .'                "y": 69'."\n"
                                    .'              },'."\n"
                                    .'              {'."\n"
                                    .'                "x": 119,'."\n"
                                    .'                "y": 69'."\n"
                                    .'              }'."\n"
                                    .'            ],'."\n"
                                    .'            "word": "方大呆",'."\n"
                                    .'            "charInfo": ['."\n"
                                    .'              {'."\n"
                                    .'                "prob": 0.99,'."\n"
                                    .'                "location": ['."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 119,'."\n"
                                    .'                    "y": 48'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 142,'."\n"
                                    .'                    "y": 48'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 142,'."\n"
                                    .'                    "y": 67'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 119,'."\n"
                                    .'                    "y": 67'."\n"
                                    .'                  }'."\n"
                                    .'                ],'."\n"
                                    .'                "word": "方"'."\n"
                                    .'              },'."\n"
                                    .'              {'."\n"
                                    .'                "prob": 0.99,'."\n"
                                    .'                "location": ['."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 142,'."\n"
                                    .'                    "y": 48'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 165,'."\n"
                                    .'                    "y": 48'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 165,'."\n"
                                    .'                    "y": 67'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 142,'."\n"
                                    .'                    "y": 67'."\n"
                                    .'                  }'."\n"
                                    .'                ],'."\n"
                                    .'                "word": "大"'."\n"
                                    .'              },'."\n"
                                    .'              {'."\n"
                                    .'                "prob": 0.99,'."\n"
                                    .'                "location": ['."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 167,'."\n"
                                    .'                    "y": 48'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 197,'."\n"
                                    .'                    "y": 48'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 197,'."\n"
                                    .'                    "y": 67'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 167,'."\n"
                                    .'                    "y": 67'."\n"
                                    .'                  }'."\n"
                                    .'                ],'."\n"
                                    .'                "word": "呆"'."\n"
                                    .'              }'."\n"
                                    .'            ]'."\n"
                                    .'          }'."\n"
                                    .'        ],'."\n"
                                    .'        "location": ['."\n"
                                    .'          {'."\n"
                                    .'            "x": 119,'."\n"
                                    .'            "y": 48'."\n"
                                    .'          },'."\n"
                                    .'          {'."\n"
                                    .'            "x": 199,'."\n"
                                    .'            "y": 48'."\n"
                                    .'          },'."\n"
                                    .'          {'."\n"
                                    .'            "x": 199,'."\n"
                                    .'            "y": 69'."\n"
                                    .'          },'."\n"
                                    .'          {'."\n"
                                    .'            "x": 119,'."\n"
                                    .'            "y": 69'."\n"
                                    .'          }'."\n"
                                    .'        ],'."\n"
                                    .'        "fieldWord": "方大呆"'."\n"
                                    .'      },'."\n"
                                    .'      {'."\n"
                                    .'        "prob": 1,'."\n"
                                    .'        "fieldName": "性别",'."\n"
                                    .'        "fieldWordRaw": "男",'."\n"
                                    .'        "wordInfo": ['."\n"
                                    .'          {'."\n"
                                    .'            "prob": 0.99,'."\n"
                                    .'            "location": ['."\n"
                                    .'              {'."\n"
                                    .'                "x": 117,'."\n"
                                    .'                "y": 93'."\n"
                                    .'              },'."\n"
                                    .'              {'."\n"
                                    .'                "x": 142,'."\n"
                                    .'                "y": 93'."\n"
                                    .'              },'."\n"
                                    .'              {'."\n"
                                    .'                "x": 142,'."\n"
                                    .'                "y": 112'."\n"
                                    .'              },'."\n"
                                    .'              {'."\n"
                                    .'                "x": 117,'."\n"
                                    .'                "y": 112'."\n"
                                    .'              }'."\n"
                                    .'            ],'."\n"
                                    .'            "word": "男",'."\n"
                                    .'            "charInfo": ['."\n"
                                    .'              {'."\n"
                                    .'                "prob": 0.99,'."\n"
                                    .'                "location": ['."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 117,'."\n"
                                    .'                    "y": 93'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 142,'."\n"
                                    .'                    "y": 93'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 142,'."\n"
                                    .'                    "y": 112'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 117,'."\n"
                                    .'                    "y": 112'."\n"
                                    .'                  }'."\n"
                                    .'                ],'."\n"
                                    .'                "word": "男"'."\n"
                                    .'              }'."\n"
                                    .'            ]'."\n"
                                    .'          }'."\n"
                                    .'        ],'."\n"
                                    .'        "location": ['."\n"
                                    .'          {'."\n"
                                    .'            "x": 117,'."\n"
                                    .'            "y": 93'."\n"
                                    .'          },'."\n"
                                    .'          {'."\n"
                                    .'            "x": 142,'."\n"
                                    .'            "y": 93'."\n"
                                    .'          },'."\n"
                                    .'          {'."\n"
                                    .'            "x": 142,'."\n"
                                    .'            "y": 112'."\n"
                                    .'          },'."\n"
                                    .'          {'."\n"
                                    .'            "x": 117,'."\n"
                                    .'            "y": 112'."\n"
                                    .'          }'."\n"
                                    .'        ],'."\n"
                                    .'        "fieldWord": "男"'."\n"
                                    .'      },'."\n"
                                    .'      {'."\n"
                                    .'        "prob": 1,'."\n"
                                    .'        "fieldName": "身份证号",'."\n"
                                    .'        "fieldWordRaw": "310101********3222",'."\n"
                                    .'        "wordInfo": ['."\n"
                                    .'          {'."\n"
                                    .'            "prob": 0.9899999999999998,'."\n"
                                    .'            "location": ['."\n"
                                    .'              {'."\n"
                                    .'                "x": 206,'."\n"
                                    .'                "y": 301'."\n"
                                    .'              },'."\n"
                                    .'              {'."\n"
                                    .'                "x": 518,'."\n"
                                    .'                "y": 301'."\n"
                                    .'              },'."\n"
                                    .'              {'."\n"
                                    .'                "x": 518,'."\n"
                                    .'                "y": 320'."\n"
                                    .'              },'."\n"
                                    .'              {'."\n"
                                    .'                "x": 206,'."\n"
                                    .'                "y": 320'."\n"
                                    .'              }'."\n"
                                    .'            ],'."\n"
                                    .'            "word": "310101198610203222",'."\n"
                                    .'            "charInfo": ['."\n"
                                    .'              {'."\n"
                                    .'                "prob": 0.99,'."\n"
                                    .'                "location": ['."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 206,'."\n"
                                    .'                    "y": 302'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 223,'."\n"
                                    .'                    "y": 302'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 223,'."\n"
                                    .'                    "y": 319'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 206,'."\n"
                                    .'                    "y": 319'."\n"
                                    .'                  }'."\n"
                                    .'                ],'."\n"
                                    .'                "word": "3"'."\n"
                                    .'              },'."\n"
                                    .'              {'."\n"
                                    .'                "prob": 0.99,'."\n"
                                    .'                "location": ['."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 223,'."\n"
                                    .'                    "y": 302'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 238,'."\n"
                                    .'                    "y": 302'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 238,'."\n"
                                    .'                    "y": 319'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 223,'."\n"
                                    .'                    "y": 319'."\n"
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                                    .'                "word": "1"'."\n"
                                    .'              },'."\n"
                                    .'              {'."\n"
                                    .'                "prob": 0.99,'."\n"
                                    .'                "location": ['."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 240,'."\n"
                                    .'                    "y": 302'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 255,'."\n"
                                    .'                    "y": 302'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 255,'."\n"
                                    .'                    "y": 319'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 240,'."\n"
                                    .'                    "y": 319'."\n"
                                    .'                  }'."\n"
                                    .'                ],'."\n"
                                    .'                "word": "0"'."\n"
                                    .'              },'."\n"
                                    .'              {'."\n"
                                    .'                "prob": 0.99,'."\n"
                                    .'                "location": ['."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 259,'."\n"
                                    .'                    "y": 302'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 274,'."\n"
                                    .'                    "y": 302'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 274,'."\n"
                                    .'                    "y": 319'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 259,'."\n"
                                    .'                    "y": 319'."\n"
                                    .'                  }'."\n"
                                    .'                ],'."\n"
                                    .'                "word": "1"'."\n"
                                    .'              },'."\n"
                                    .'              {'."\n"
                                    .'                "prob": 0.99,'."\n"
                                    .'                "location": ['."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 276,'."\n"
                                    .'                    "y": 302'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 291,'."\n"
                                    .'                    "y": 302'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 291,'."\n"
                                    .'                    "y": 319'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 276,'."\n"
                                    .'                    "y": 319'."\n"
                                    .'                  }'."\n"
                                    .'                ],'."\n"
                                    .'                "word": "0"'."\n"
                                    .'              },'."\n"
                                    .'              {'."\n"
                                    .'                "prob": 0.99,'."\n"
                                    .'                "location": ['."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 292,'."\n"
                                    .'                    "y": 302'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 307,'."\n"
                                    .'                    "y": 302'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 307,'."\n"
                                    .'                    "y": 319'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 292,'."\n"
                                    .'                    "y": 319'."\n"
                                    .'                  }'."\n"
                                    .'                ],'."\n"
                                    .'                "word": "1"'."\n"
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                                    .'              {'."\n"
                                    .'                "prob": 0.99,'."\n"
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                                    .'                    "x": 311,'."\n"
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                                    .'                  {'."\n"
                                    .'                    "x": 326,'."\n"
                                    .'                    "y": 302'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 326,'."\n"
                                    .'                    "y": 319'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 311,'."\n"
                                    .'                    "y": 319'."\n"
                                    .'                  }'."\n"
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                                    .'              {'."\n"
                                    .'                "prob": 0.99,'."\n"
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                                    .'                  {'."\n"
                                    .'                    "x": 343,'."\n"
                                    .'                    "y": 302'."\n"
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                                    .'                    "x": 343,'."\n"
                                    .'                    "y": 319'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 328,'."\n"
                                    .'                    "y": 319'."\n"
                                    .'                  }'."\n"
                                    .'                ],'."\n"
                                    .'                "word": "9"'."\n"
                                    .'              },'."\n"
                                    .'              {'."\n"
                                    .'                "prob": 0.99,'."\n"
                                    .'                "location": ['."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 344,'."\n"
                                    .'                    "y": 302'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 359,'."\n"
                                    .'                    "y": 302'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 359,'."\n"
                                    .'                    "y": 319'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 344,'."\n"
                                    .'                    "y": 319'."\n"
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                                    .'                "word": "8"'."\n"
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                                    .'              {'."\n"
                                    .'                "prob": 0.99,'."\n"
                                    .'                "location": ['."\n"
                                    .'                  {'."\n"
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                                    .'                  {'."\n"
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                                    .'                    "y": 302'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
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                                    .'                    "y": 319'."\n"
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                                    .'                  {'."\n"
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                                    .'                  {'."\n"
                                    .'                    "x": 411,'."\n"
                                    .'                    "y": 319'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 396,'."\n"
                                    .'                    "y": 319'."\n"
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                                    .'                  {'."\n"
                                    .'                    "x": 430,'."\n"
                                    .'                    "y": 302'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
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                                    .'                "location": ['."\n"
                                    .'                  {'."\n"
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                                    .'                  {'."\n"
                                    .'                    "x": 499,'."\n"
                                    .'                    "y": 302'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 499,'."\n"
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                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 484,'."\n"
                                    .'                    "y": 319'."\n"
                                    .'                  }'."\n"
                                    .'                ],'."\n"
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                                    .'              },'."\n"
                                    .'              {'."\n"
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                                    .'                "location": ['."\n"
                                    .'                  {'."\n"
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                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 516,'."\n"
                                    .'                    "y": 302'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 516,'."\n"
                                    .'                    "y": 319'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 501,'."\n"
                                    .'                    "y": 319'."\n"
                                    .'                  }'."\n"
                                    .'                ],'."\n"
                                    .'                "word": "2"'."\n"
                                    .'              }'."\n"
                                    .'            ]'."\n"
                                    .'          }'."\n"
                                    .'        ],'."\n"
                                    .'        "location": ['."\n"
                                    .'          {'."\n"
                                    .'            "x": 206,'."\n"
                                    .'            "y": 301'."\n"
                                    .'          },'."\n"
                                    .'          {'."\n"
                                    .'            "x": 518,'."\n"
                                    .'            "y": 301'."\n"
                                    .'          },'."\n"
                                    .'          {'."\n"
                                    .'            "x": 518,'."\n"
                                    .'            "y": 320'."\n"
                                    .'          },'."\n"
                                    .'          {'."\n"
                                    .'            "x": 206,'."\n"
                                    .'            "y": 320'."\n"
                                    .'          }'."\n"
                                    .'        ],'."\n"
                                    .'        "fieldWord": "310101198610203222"'."\n"
                                    .'      },'."\n"
                                    .'      {'."\n"
                                    .'        "prob": 1,'."\n"
                                    .'        "fieldName": "名族",'."\n"
                                    .'        "fieldWordRaw": "汉",'."\n"
                                    .'        "wordInfo": ['."\n"
                                    .'          {'."\n"
                                    .'            "prob": 0.99,'."\n"
                                    .'            "location": ['."\n"
                                    .'              {'."\n"
                                    .'                "x": 232,'."\n"
                                    .'                "y": 94'."\n"
                                    .'              },'."\n"
                                    .'              {'."\n"
                                    .'                "x": 259,'."\n"
                                    .'                "y": 94'."\n"
                                    .'              },'."\n"
                                    .'              {'."\n"
                                    .'                "x": 259,'."\n"
                                    .'                "y": 112'."\n"
                                    .'              },'."\n"
                                    .'              {'."\n"
                                    .'                "x": 232,'."\n"
                                    .'                "y": 112'."\n"
                                    .'              }'."\n"
                                    .'            ],'."\n"
                                    .'            "word": "汉",'."\n"
                                    .'            "charInfo": ['."\n"
                                    .'              {'."\n"
                                    .'                "prob": 0.99,'."\n"
                                    .'                "location": ['."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 232,'."\n"
                                    .'                    "y": 94'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 259,'."\n"
                                    .'                    "y": 94'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 259,'."\n"
                                    .'                    "y": 112'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 232,'."\n"
                                    .'                    "y": 112'."\n"
                                    .'                  }'."\n"
                                    .'                ],'."\n"
                                    .'                "word": "汉"'."\n"
                                    .'              }'."\n"
                                    .'            ]'."\n"
                                    .'          }'."\n"
                                    .'        ],'."\n"
                                    .'        "location": ['."\n"
                                    .'          {'."\n"
                                    .'            "x": 232,'."\n"
                                    .'            "y": 94'."\n"
                                    .'          },'."\n"
                                    .'          {'."\n"
                                    .'            "x": 259,'."\n"
                                    .'            "y": 94'."\n"
                                    .'          },'."\n"
                                    .'          {'."\n"
                                    .'            "x": 259,'."\n"
                                    .'            "y": 112'."\n"
                                    .'          },'."\n"
                                    .'          {'."\n"
                                    .'            "x": 232,'."\n"
                                    .'            "y": 112'."\n"
                                    .'          }'."\n"
                                    .'        ],'."\n"
                                    .'        "fieldWord": "汉"'."\n"
                                    .'      }'."\n"
                                    .'    ],'."\n"
                                    .'    "specificType": "infoCustomeKvTemp",'."\n"
                                    .'    "width": 586,'."\n"
                                    .'    "angle": 0,'."\n"
                                    .'    "classType": "template",'."\n"
                                    .'    "height": 374,'."\n"
                                    .'    "predictFile": "https://doc-automl-public.oss-cn-hangzhou.aliyuncs.com/demo/demo.png"'."\n"
                                    .'  }',
                            ],
                            'Message' => [
                                'description' => '返回消息',
                                'type' => 'string',
                                'example' => 'successful',
                            ],
                            'Code' => [
                                'description' => '状态码。说明 200表示成功。',
                                'type' => 'string',
                                'example' => '200',
                            ],
                        ],
                    ],
                ],
            ],
            'errorCodes' => [
                200 => [
                    [
                        'errorCode' => '21002',
                        'errorMessage' => '模板预测超时',
                    ],
                    [
                        'errorCode' => '21003',
                        'errorMessage' => '模板预测失败',
                    ],
                    [
                        'errorCode' => '21004',
                        'errorMessage' => '模板提交失败	',
                    ],
                    [
                        'errorCode' => '10001',
                        'errorMessage' => '参数出错	',
                    ],
                    [
                        'errorCode' => '10005',
                        'errorMessage' => '服务不存在	',
                    ],
                    [
                        'errorCode' => '21018',
                        'errorMessage' => '未找到模板信息	',
                    ],
                    [
                        'errorCode' => '16001',
                        'errorMessage' => '未找到可预测的模型',
                    ],
                    [
                        'errorCode' => '16004',
                        'errorMessage' => '指定的模型不存在',
                    ],
                    [
                        'errorCode' => '23002',
                        'errorMessage' => '获取资源HTTP异常	',
                    ],
                    [
                        'errorCode' => '22002',
                        'errorMessage' => 'ocr服务异常	',
                    ],
                    [
                        'errorCode' => '11002',
                        'errorMessage' => '账号没有开通服务	',
                    ],
                    [
                        'errorCode' => '19999',
                        'errorMessage' => '未知异常',
                    ],
                ],
            ],
            'staticInfo' => [
                'returnType' => 'synchronous',
            ],
            'responseDemo' => '[{"errorExample":"","example":"{\\n  \\"RequestId\\": \\"F25FBAB4-665A-5D85-8AEF-39AE29F7D588\\",\\n  \\"Data\\": {\\n    \\"score\\": 0.9091,\\n    \\"data\\": [\\n      {\\n        \\"prob\\": 1,\\n        \\"fieldName\\": \\"姓名\\",\\n        \\"fieldWordRaw\\": \\"方大呆\\",\\n        \\"wordInfo\\": [\\n          {\\n            \\"prob\\": 0.9899999999999999,\\n            \\"location\\": [\\n              {\\n                \\"x\\": 119,\\n                \\"y\\": 48\\n              },\\n              {\\n                \\"x\\": 199,\\n                \\"y\\": 48\\n              },\\n              {\\n                \\"x\\": 199,\\n                \\"y\\": 69\\n              },\\n              {\\n                \\"x\\": 119,\\n                \\"y\\": 69\\n              }\\n            ],\\n            \\"word\\": \\"方大呆\\",\\n            \\"charInfo\\": [\\n              {\\n                \\"prob\\": 0.99,\\n                \\"location\\": [\\n                  {\\n                    \\"x\\": 119,\\n                    \\"y\\": 48\\n                  },\\n                  {\\n                    \\"x\\": 142,\\n                    \\"y\\": 48\\n                  },\\n                  {\\n                    \\"x\\": 142,\\n                    \\"y\\": 67\\n                  },\\n                  {\\n                    \\"x\\": 119,\\n                    \\"y\\": 67\\n                  }\\n                ],\\n                \\"word\\": \\"方\\"\\n              },\\n              {\\n                \\"prob\\": 0.99,\\n                \\"location\\": [\\n                  {\\n                    \\"x\\": 142,\\n                    \\"y\\": 48\\n                  },\\n                  {\\n                    \\"x\\": 165,\\n                    \\"y\\": 48\\n                  },\\n                  {\\n                    \\"x\\": 165,\\n                    \\"y\\": 67\\n                  },\\n                  {\\n                    \\"x\\": 142,\\n                    \\"y\\": 67\\n                  }\\n                ],\\n                \\"word\\": \\"大\\"\\n              },\\n              {\\n                \\"prob\\": 0.99,\\n                \\"location\\": [\\n                  {\\n                    \\"x\\": 167,\\n                    \\"y\\": 48\\n                  },\\n                  {\\n                    \\"x\\": 197,\\n                    \\"y\\": 48\\n                  },\\n                  {\\n                    \\"x\\": 197,\\n                    \\"y\\": 67\\n                  },\\n                  {\\n                    \\"x\\": 167,\\n                    \\"y\\": 67\\n                  }\\n                ],\\n                \\"word\\": \\"呆\\"\\n              }\\n            ]\\n          }\\n        ],\\n        \\"location\\": [\\n          {\\n            \\"x\\": 119,\\n            \\"y\\": 48\\n          },\\n          {\\n            \\"x\\": 199,\\n            \\"y\\": 48\\n          },\\n          {\\n            \\"x\\": 199,\\n            \\"y\\": 69\\n          },\\n          {\\n            \\"x\\": 119,\\n            \\"y\\": 69\\n          }\\n        ],\\n        \\"fieldWord\\": \\"方大呆\\"\\n      },\\n      {\\n        \\"prob\\": 1,\\n        \\"fieldName\\": \\"性别\\",\\n        \\"fieldWordRaw\\": \\"男\\",\\n        \\"wordInfo\\": [\\n          {\\n            \\"prob\\": 0.99,\\n            \\"location\\": [\\n              {\\n                \\"x\\": 117,\\n                \\"y\\": 93\\n              },\\n              {\\n                \\"x\\": 142,\\n                \\"y\\": 93\\n              },\\n              {\\n                \\"x\\": 142,\\n                \\"y\\": 112\\n              },\\n              {\\n                \\"x\\": 117,\\n                \\"y\\": 112\\n              }\\n            ],\\n            \\"word\\": \\"男\\",\\n            \\"charInfo\\": [\\n              {\\n                \\"prob\\": 0.99,\\n                \\"location\\": [\\n                  {\\n                    \\"x\\": 117,\\n                    \\"y\\": 93\\n                  },\\n                  {\\n                    \\"x\\": 142,\\n                    \\"y\\": 93\\n                  },\\n                  {\\n                    \\"x\\": 142,\\n                    \\"y\\": 112\\n                  },\\n                  {\\n                    \\"x\\": 117,\\n                    \\"y\\": 112\\n                  }\\n                ],\\n                \\"word\\": \\"男\\"\\n              }\\n            ]\\n          }\\n        ],\\n        \\"location\\": [\\n          {\\n            \\"x\\": 117,\\n            \\"y\\": 93\\n          },\\n          {\\n            \\"x\\": 142,\\n            \\"y\\": 93\\n          },\\n          {\\n            \\"x\\": 142,\\n            \\"y\\": 112\\n          },\\n          {\\n            \\"x\\": 117,\\n            \\"y\\": 112\\n          }\\n        ],\\n        \\"fieldWord\\": \\"男\\"\\n      },\\n      {\\n        \\"prob\\": 1,\\n        \\"fieldName\\": \\"身份证号\\",\\n        \\"fieldWordRaw\\": \\"310101********3222\\",\\n        \\"wordInfo\\": [\\n          {\\n            \\"prob\\": 0.9899999999999998,\\n            \\"location\\": [\\n              {\\n                \\"x\\": 206,\\n                \\"y\\": 301\\n              },\\n              {\\n                \\"x\\": 518,\\n                \\"y\\": 301\\n              },\\n              {\\n                \\"x\\": 518,\\n                \\"y\\": 320\\n              },\\n              {\\n                \\"x\\": 206,\\n                \\"y\\": 320\\n              }\\n            ],\\n            \\"word\\": \\"310101198610203222\\",\\n            \\"charInfo\\": [\\n              {\\n                \\"prob\\": 0.99,\\n                \\"location\\": [\\n                  {\\n                    \\"x\\": 206,\\n                    \\"y\\": 302\\n                  },\\n 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               }\\n                ],\\n                \\"word\\": \\"6\\"\\n              },\\n              {\\n                \\"prob\\": 0.99,\\n                \\"location\\": [\\n                  {\\n                    \\"x\\": 380,\\n                    \\"y\\": 302\\n                  },\\n                  {\\n                    \\"x\\": 395,\\n                    \\"y\\": 302\\n                  },\\n                  {\\n                    \\"x\\": 395,\\n                    \\"y\\": 319\\n                  },\\n                  {\\n                    \\"x\\": 380,\\n                    \\"y\\": 319\\n                  }\\n                ],\\n                \\"word\\": \\"1\\"\\n              },\\n              {\\n                \\"prob\\": 0.99,\\n                \\"location\\": [\\n                  {\\n                    \\"x\\": 396,\\n                    \\"y\\": 302\\n                  },\\n                  {\\n                    \\"x\\": 411,\\n         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  {\\n                \\"prob\\": 0.99,\\n                \\"location\\": [\\n                  {\\n                    \\"x\\": 432,\\n                    \\"y\\": 302\\n                  },\\n                  {\\n                    \\"x\\": 447,\\n                    \\"y\\": 302\\n                  },\\n                  {\\n                    \\"x\\": 447,\\n                    \\"y\\": 319\\n                  },\\n                  {\\n                    \\"x\\": 432,\\n                    \\"y\\": 319\\n                  }\\n                ],\\n                \\"word\\": \\"0\\"\\n              },\\n              {\\n                \\"prob\\": 0.99,\\n                \\"location\\": [\\n                  {\\n                    \\"x\\": 448,\\n                    \\"y\\": 302\\n                  },\\n                  {\\n                    \\"x\\": 463,\\n                    \\"y\\": 302\\n                  },\\n                  {\\n                    \\"x\\": 463,\\n                    \\"y\\": 319\\n                  },\\n                  {\\n                    \\"x\\": 448,\\n                    \\"y\\": 319\\n                  }\\n                ],\\n                \\"word\\": \\"3\\"\\n              },\\n              {\\n                \\"prob\\": 0.99,\\n                \\"location\\": [\\n                  {\\n                    \\"x\\": 467,\\n                    \\"y\\": 302\\n                  },\\n                  {\\n                    \\"x\\": 482,\\n                    \\"y\\": 302\\n                  },\\n                  {\\n                    \\"x\\": 482,\\n                    \\"y\\": 319\\n                  },\\n                  {\\n                    \\"x\\": 467,\\n                    \\"y\\": 319\\n                  }\\n                ],\\n                \\"word\\": \\"2\\"\\n              },\\n              {\\n                \\"prob\\": 0.99,\\n                \\"location\\": [\\n                  {\\n                    \\"x\\": 484,\\n                    \\"y\\": 302\\n                  },\\n                  {\\n                    \\"x\\": 499,\\n                    \\"y\\": 302\\n                  },\\n                  {\\n                    \\"x\\": 499,\\n                    \\"y\\": 319\\n                  },\\n                  {\\n                    \\"x\\": 484,\\n                    \\"y\\": 319\\n                  }\\n                ],\\n                \\"word\\": \\"2\\"\\n              },\\n              {\\n                \\"prob\\": 0.99,\\n                \\"location\\": [\\n                  {\\n                    \\"x\\": 501,\\n                    \\"y\\": 302\\n                  },\\n                  {\\n                    \\"x\\": 516,\\n                    \\"y\\": 302\\n                  },\\n                  {\\n                    \\"x\\": 516,\\n                    \\"y\\": 319\\n                  },\\n                  {\\n                    \\"x\\": 501,\\n                    \\"y\\": 319\\n                  }\\n                ],\\n                \\"word\\": \\"2\\"\\n              }\\n            ]\\n          }\\n        ],\\n        \\"location\\": [\\n          {\\n            \\"x\\": 206,\\n            \\"y\\": 301\\n          },\\n          {\\n            \\"x\\": 518,\\n            \\"y\\": 301\\n          },\\n          {\\n            \\"x\\": 518,\\n            \\"y\\": 320\\n          },\\n          {\\n            \\"x\\": 206,\\n            \\"y\\": 320\\n          }\\n        ],\\n        \\"fieldWord\\": \\"310101198610203222\\"\\n      },\\n      {\\n        \\"prob\\": 1,\\n        \\"fieldName\\": \\"名族\\",\\n        \\"fieldWordRaw\\": \\"汉\\",\\n        \\"wordInfo\\": [\\n          {\\n            \\"prob\\": 0.99,\\n            \\"location\\": [\\n              {\\n                \\"x\\": 232,\\n                \\"y\\": 94\\n              },\\n              {\\n                \\"x\\": 259,\\n                \\"y\\": 94\\n              },\\n              {\\n                \\"x\\": 259,\\n                \\"y\\": 112\\n              },\\n              {\\n                \\"x\\": 232,\\n                \\"y\\": 112\\n              }\\n            ],\\n            \\"word\\": \\"汉\\",\\n            \\"charInfo\\": [\\n              {\\n                \\"prob\\": 0.99,\\n                \\"location\\": [\\n                  {\\n                    \\"x\\": 232,\\n                    \\"y\\": 94\\n                  },\\n                  {\\n                    \\"x\\": 259,\\n                    \\"y\\": 94\\n                  },\\n                  {\\n                    \\"x\\": 259,\\n                    \\"y\\": 112\\n                  },\\n                  {\\n                    \\"x\\": 232,\\n                    \\"y\\": 112\\n                  }\\n                ],\\n                \\"word\\": \\"汉\\"\\n              }\\n            ]\\n          }\\n        ],\\n        \\"location\\": [\\n          {\\n            \\"x\\": 232,\\n            \\"y\\": 94\\n          },\\n          {\\n            \\"x\\": 259,\\n            \\"y\\": 94\\n          },\\n          {\\n            \\"x\\": 259,\\n            \\"y\\": 112\\n          },\\n          {\\n            \\"x\\": 232,\\n            \\"y\\": 112\\n          }\\n        ],\\n        \\"fieldWord\\": \\"汉\\"\\n      }\\n    ],\\n    \\"specificType\\": \\"infoCustomeKvTemp\\",\\n    \\"width\\": 586,\\n    \\"angle\\": 0,\\n    \\"classType\\": \\"template\\",\\n    \\"height\\": 374,\\n    \\"predictFile\\": \\"https://doc-automl-public.oss-cn-hangzhou.aliyuncs.com/demo/demo.png\\"\\n  },\\n  \\"Message\\": \\"successful\\",\\n  \\"Code\\": \\"200\\"\\n}","type":"json"}]',
            'title' => '模板服务预测API',
            'requestParamsDescription' => 'content字段和body字段传参二选一,图片URL则content为图片访问地址。内容为base64编码则传参body,且BinaryToText传true。'."\n"
                ."\n"
                .'pdf 限制20Mb 10页'."\n"
                .'除长文档类型的模型预测以外,其他预测服务只会取第一页进行预测。',
            'responseParamsDescription' => '```'."\n"
                .'模板服务预测接口,返回Data字段解释说明:'."\n"
                .'score         预测服务置信度 0-1 '."\n"
                .'data.         算法返回的预测结果,数组格式'."\n"
                .'prob          算法结果置信度 0-1 '."\n"
                .'fieldName     抽取key'."\n"
                .'fieldWord     抽取value'."\n"
                .'location      抽取结果坐标位置  { "x": 119,"y": 48  }表示页面坐标点'."\n"
                .'wordInfo      抽取内容详细信息,包括了每个字符的位置信息'."\n"
                .'specificType  算法类型(infoCustomeKvTemp:自定义KV 模板,infoCustomeTableTemp:自定义表格模板,ocr_infoExtractBill:信息抽取OCR识别,infoExtractBill:单据票证抽取,infoExtractDoc:长文档信息抽取 )'."\n"
                .'classType     模型预测服务、模板预测服务'."\n"
                .'predictFile   预测文件地址(失效时间60分钟)'."\n"
                .'```',
        ],
        'PredictModel' => [
            'summary' => '模型预测分为三种类型:长文档信息抽取、单票据信息抽取、表格信息抽取。',
            'methods' => [
                'post',
            ],
            'schemes' => [
                'http',
                'https',
            ],
            'security' => [
                [
                    'AK' => [],
                ],
            ],
            'operationType' => 'read',
            'deprecated' => false,
            'systemTags' => [
                'operationType' => 'get',
                'riskType' => 'none',
                'chargeType' => 'free',
            ],
            'parameters' => [
                [
                    'name' => 'Content',
                    'in' => 'query',
                    'schema' => [
                        'description' => '图片或pdf文件访问URL地址',
                        'type' => 'string',
                        'required' => false,
                        'example' => 'https://doc-automl-public.oss-cn-hangzhou.aliyuncs.com/demo/extractBill.png',
                    ],
                ],
                [
                    'name' => 'ModelVersion',
                    'in' => 'query',
                    'schema' => [
                        'description' => '模型对应的版本号,如果不传入版本号表示默认用模型最新生效的版本。',
                        'type' => 'string',
                        'required' => false,
                        'example' => '1',
                    ],
                ],
                [
                    'name' => 'ModelId',
                    'in' => 'query',
                    'schema' => [
                        'description' => '模型ID。模型列表页模型ID',
                        'type' => 'integer',
                        'format' => 'int64',
                        'required' => true,
                        'maximum' => '9999999999999',
                        'minimum' => '1',
                        'example' => '123',
                    ],
                ],
                [
                    'name' => 'BinaryToText',
                    'in' => 'query',
                    'schema' => [
                        'description' => 'content字段是图片URL时:false'."\n"
                            .'body为base64的内容时:true',
                        'type' => 'boolean',
                        'required' => false,
                        'example' => 'false:表示content传入的是url'."\n"
                            .'true:表示body是直接传入图片进行base64的内容',
                        'default' => 'false',
                    ],
                ],
                [
                    'name' => 'Body',
                    'in' => 'formData',
                    'schema' => [
                        'description' => '图片base64编码内容',
                        'type' => 'string',
                        'required' => false,
                        'example' => 'data:image/png;base64,xxxxx'."\n",
                    ],
                ],
            ],
            'responses' => [
                200 => [
                    'schema' => [
                        'title' => 'Schema of Response',
                        'description' => 'Schema of Response',
                        'type' => 'object',
                        'properties' => [
                            'RequestId' => [
                                'title' => 'Id of the request',
                                'description' => 'Id of the request',
                                'type' => 'string',
                                'example' => '3EAC98E6-8DD6-511F-8764-DEE8B6EB6BB4',
                            ],
                            'Code' => [
                                'description' => '请求结果状态,200为成功',
                                'type' => 'integer',
                                'format' => 'int32',
                                'example' => '200',
                            ],
                            'Message' => [
                                'description' => '错误信息。',
                                'type' => 'string',
                                'example' => 'success',
                            ],
                            'Data' => [
                                'description' => '接口返回信息',
                                'type' => 'object',
                                'example' => '{'."\n"
                                    .'      "RequestId": "0C066DD3-F55D-18F7-8577-DE533E04054D",'."\n"
                                    .'      "Message": "",'."\n"
                                    .'      "Data": {'."\n"
                                    .'            "code": 200,'."\n"
                                    .'            "data": {'."\n"
                                    .'                  "姓名": "xxx",'."\n"
                                    .'                  "证号": "xxx",'."\n"
                                    .'                  "性别": "女"'."\n"
                                    .'            },'."\n"
                                    .'            "specificType": "ocr_infoExtractBill",'."\n"
                                    .'            "originalFileUrl": "https://doc-automl-public.oss-cn-hangzhou.aliyuncs.com/demo/extractBill.png",'."\n"
                                    .'            "message": "",'."\n"
                                    .'            "type": "卡证",'."\n"
                                    .'            "version": "1.0.9",'."\n"
                                    .'            "predictFile": "",'."\n"
                                    .'            "tim_img": "17",'."\n"
                                    .'            "score": 1.05,'."\n"
                                    .'            "wid": "1544",'."\n"
                                    .'            "hgt": "1054",'."\n"
                                    .'            "imageUrl": "",'."\n"
                                    .'            "angle": "0",'."\n"
                                    .'            "orig_hgt": "1054",'."\n"
                                    .'            "orig_wid": "1544",'."\n"
                                    .'            "tim_ocr": "97",'."\n"
                                    .'            "classType": "model",'."\n"
                                    .'            "info": ['."\n"
                                    .'                  {'."\n"
                                    .'                        "value_loc": "595,314,595,399,398,399,398,314",'."\n"
                                    .'                        "key_prob": 1,'."\n"
                                    .'                        "key_loc": "",'."\n"
                                    .'                        "value_prob": 1,'."\n"
                                    .'                        "value": "XXX",'."\n"
                                    .'                        "key": "姓名"'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                        "value_loc": "1256,234,1256,312,678,312,678,233",'."\n"
                                    .'                        "key_prob": 1,'."\n"
                                    .'                        "key_loc": "",'."\n"
                                    .'                        "value_prob": 1,'."\n"
                                    .'                        "value": "440305198305101408",'."\n"
                                    .'                        "key": "证号"'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                        "value_loc": "965,321,965,394,851,394,851,321",'."\n"
                                    .'                        "key_prob": 1,'."\n"
                                    .'                        "key_loc": "",'."\n"
                                    .'                        "value_prob": 1,'."\n"
                                    .'                        "value": "女",'."\n"
                                    .'                        "key": "性别"'."\n"
                                    .'                  }'."\n"
                                    .'            ]'."\n"
                                    .'      },'."\n"
                                    .'      "Code": 200'."\n"
                                    .'}',
                            ],
                        ],
                    ],
                ],
            ],
            'errorCodes' => [
                200 => [
                    [
                        'errorCode' => '21002',
                        'errorMessage' => '模板预测超时	',
                    ],
                    [
                        'errorCode' => '21003',
                        'errorMessage' => '模板预测失败	',
                    ],
                    [
                        'errorCode' => '10001',
                        'errorMessage' => '参数出错',
                    ],
                    [
                        'errorCode' => '10005',
                        'errorMessage' => '服务不存在',
                    ],
                    [
                        'errorCode' => '16001',
                        'errorMessage' => '未找到可预测的模型',
                    ],
                    [
                        'errorCode' => '13018',
                        'errorMessage' => '未找到模型信息',
                    ],
                    [
                        'errorCode' => '16004',
                        'errorMessage' => '指定的模型不存在',
                    ],
                    [
                        'errorCode' => '23002',
                        'errorMessage' => '获取资源HTTP异常',
                    ],
                    [
                        'errorCode' => '11002',
                        'errorMessage' => '账号没有开通服务',
                    ],
                    [
                        'errorCode' => '19999',
                        'errorMessage' => '未知异常',
                    ],
                ],
            ],
            'staticInfo' => [
                'returnType' => 'synchronous',
            ],
            'responseDemo' => '[{"errorExample":"","example":"{\\n  \\"RequestId\\": \\"3EAC98E6-8DD6-511F-8764-DEE8B6EB6BB4\\",\\n  \\"Code\\": 200,\\n  \\"Message\\": \\"success\\",\\n  \\"Data\\": {\\n    \\"RequestId\\": \\"0C066DD3-F55D-18F7-8577-DE533E04054D\\",\\n    \\"Message\\": \\"\\",\\n    \\"Data\\": {\\n      \\"code\\": 200,\\n      \\"data\\": {\\n        \\"姓名\\": \\"xxx\\",\\n        \\"证号\\": \\"xxx\\",\\n        \\"性别\\": \\"女\\"\\n      },\\n      \\"specificType\\": \\"ocr_infoExtractBill\\",\\n      \\"originalFileUrl\\": \\"https://doc-automl-public.oss-cn-hangzhou.aliyuncs.com/demo/extractBill.png\\",\\n      \\"message\\": \\"\\",\\n      \\"type\\": \\"卡证\\",\\n      \\"version\\": \\"1.0.9\\",\\n      \\"predictFile\\": \\"\\",\\n      \\"tim_img\\": \\"17\\",\\n      \\"score\\": 1.05,\\n      \\"wid\\": \\"1544\\",\\n      \\"hgt\\": \\"1054\\",\\n      \\"imageUrl\\": \\"\\",\\n      \\"angle\\": \\"0\\",\\n      \\"orig_hgt\\": \\"1054\\",\\n      \\"orig_wid\\": \\"1544\\",\\n      \\"tim_ocr\\": \\"97\\",\\n      \\"classType\\": \\"model\\",\\n      \\"info\\": [\\n        {\\n          \\"value_loc\\": \\"595,314,595,399,398,399,398,314\\",\\n          \\"key_prob\\": 1,\\n          \\"key_loc\\": \\"\\",\\n          \\"value_prob\\": 1,\\n          \\"value\\": \\"XXX\\",\\n          \\"key\\": \\"姓名\\"\\n        },\\n        {\\n          \\"value_loc\\": \\"1256,234,1256,312,678,312,678,233\\",\\n          \\"key_prob\\": 1,\\n          \\"key_loc\\": \\"\\",\\n          \\"value_prob\\": 1,\\n          \\"value\\": \\"440305198305101408\\",\\n          \\"key\\": \\"证号\\"\\n        },\\n        {\\n          \\"value_loc\\": \\"965,321,965,394,851,394,851,321\\",\\n          \\"key_prob\\": 1,\\n          \\"key_loc\\": \\"\\",\\n          \\"value_prob\\": 1,\\n          \\"value\\": \\"女\\",\\n          \\"key\\": \\"性别\\"\\n        }\\n      ]\\n    },\\n    \\"Code\\": 200\\n  }\\n}","type":"json"}]',
            'title' => '模型服务预测API',
            'requestParamsDescription' => 'BinaryToText为非必填项。'."\n"
                ."\n"
                .'content字段和body字段传参二选一,图片URL则content为图片访问地址。内容为base64编码则传参body,且BinaryToText传true。'."\n"
                ."\n"
                .'pdf 限制20Mb 10页'."\n"
                .'除了长文档类型的模型预测以外,其他预测服务只会取第一页进行预测。',
            'responseParamsDescription' => '长文档信息抽取模型data返回字段解释说明:'."\n"
                .'```json'."\n"
                .'originalFileUrl     原始文件url'."\n"
                .'predictFile         解析后用于预测的图片url集合'."\n"
                .'data                具体预测结果'."\n"
                .'angle               图片的角度,当NeedRotate为true时才会返回,0表示正向,90表示图片朝右,180朝下,270朝左'."\n"
                .'content             识别出图片的文字块汇总'."\n"
                .'height              算法矫正图片后的高度'."\n"
                .'width               算法矫正图片后的宽度'."\n"
                .'orgHeight           原图的高度'."\n"
                .'orgWidth            原图的宽度'."\n"
                .'prism_wnum          识别的文字块的数量,prism_wordsInfo数组的大小'."\n"
                .'```'."\n"
                .'prism-wordsInfo文字块数组内的字段说明'."\n"
                .'```json'."\n"
                .'angle                文字块的角度,这个角度只影响width和height,当角度为-90、90、-270、270,width和height的值需要自行互换'."\n"
                .'height               文字块的高度'."\n"
                .'width                文字块的宽度'."\n"
                .'pos                  文字块的外矩形四个点的坐标按顺时针排列,左上、右上、右下、左下,当NeedRotate为true时,如果最外层的angle不为0,需要按照angle矫正图片后,坐标才准确'."\n"
                .'word                 文字块的文字'."\n"
                .'tableId              当OutputTable为true并且该文字块在表格内则存在该字段,tableId表示表格的id'."\n"
                .'tableCellId          当OutputTable为true并且该文字块在表格内则存在该字段,表示表格中单元格的id'."\n"
                .'```'."\n"
                .'charInfo单字信息'."\n"
                .'```json'."\n"
                .'word                  单字文字'."\n"
                .'x                     单字左上角横坐标'."\n"
                .'y                     单字左上角纵坐标'."\n"
                .'w                     单字宽度'."\n"
                .'h                     单字高度'."\n"
                .'```'."\n"
                .'prism-tablesInfo表格数组内的字段说明'."\n"
                .'```json'."\n"
                .'tableId            表格id,和prism_wordsInfo信息中的tableId对应'."\n"
                .'xCellSize          表格中横坐标单元格的数量'."\n"
                .'yCellSize          表格中纵坐标单元格的数量'."\n"
                .'```'."\n"
                .'cellInfos单元格信息,包含单元格在整个表格中的空间拓扑关系'."\n"
                .'```json'."\n"
                .'tableCellId        表格中单元格id,和prism_wordsInfo信息中的tableCellId对应'."\n"
                .'word               单元格中的文字'."\n"
                .'xsc                xStartCell缩写,表示横轴方向该单元格起始在第几个单元格,第一个单元格值为0'."\n"
                .'xec                xEndCell缩写,表示横轴方向该单元格结束在第几个单元格,第一个单元格值为0,如果xsc和xec都为0说明该文字在横轴方向占据了一个单元格并且在第一个单元格内'."\n"
                .'ysc                yStartCell缩写,表示纵轴方向该单元格起始在第几个单元格,第一个单元格值为0'."\n"
                .'yec                yEndCell缩写,表示纵轴方向该单元格结束在第几个单元格,第一个单元格值为0'."\n"
                .'pos                单元格位置,按照单元格四个角的坐标顺时针排列,分别为左上XY坐标、右上XY坐标、右下XY坐标、左下XY坐标'."\n"
                .'```',
        ],
        'PredictClassifierModel' => [
            'summary' => '文档自学习分类器预测接口。',
            'methods' => [
                'post',
            ],
            'schemes' => [
                'http',
                'https',
            ],
            'security' => [
                [
                    'AK' => [],
                ],
            ],
            'operationType' => 'read',
            'deprecated' => false,
            'systemTags' => [
                'operationType' => 'get',
                'riskType' => 'none',
                'chargeType' => 'free',
            ],
            'parameters' => [
                [
                    'name' => 'ClassifierId',
                    'in' => 'query',
                    'schema' => [
                        'description' => '分类器ID',
                        'type' => 'integer',
                        'format' => 'int64',
                        'required' => false,
                        'maximum' => '99999999999999',
                        'minimum' => '1',
                        'example' => '1',
                    ],
                ],
                [
                    'name' => 'AutoPrediction',
                    'in' => 'query',
                    'schema' => [
                        'description' => '是否开启自动预测,false:不开启, true:开启,默认开启',
                        'type' => 'boolean',
                        'required' => false,
                        'example' => 'true',
                        'default' => 'true',
                    ],
                ],
                [
                    'name' => 'Content',
                    'in' => 'query',
                    'schema' => [
                        'description' => '图片或pdf文件可访问地址',
                        'type' => 'string',
                        'required' => false,
                        'example' => 'https://doc-automl-public.oss-cn-hangzhou.aliyuncs.com/demo/table.png',
                    ],
                ],
                [
                    'name' => 'Body',
                    'in' => 'formData',
                    'schema' => [
                        'description' => '图片base64编码内容',
                        'type' => 'string',
                        'required' => false,
                        'example' => 'data:image/png;base64,xxxxx'."\n",
                    ],
                ],
                [
                    'name' => 'BinaryToText',
                    'in' => 'query',
                    'schema' => [
                        'description' => 'content字段是图片URL时:false <br>body为base64的内容时:true',
                        'type' => 'boolean',
                        'required' => false,
                        'example' => 'false',
                        'default' => 'false',
                    ],
                ],
            ],
            'responses' => [
                200 => [
                    'schema' => [
                        'title' => 'Schema of Response',
                        'description' => 'Schema of Response',
                        'type' => 'object',
                        'properties' => [
                            'RequestId' => [
                                'title' => 'Id of the request',
                                'description' => 'Id of the request',
                                'type' => 'string',
                                'example' => '232B91A8-9938-5C10-B522-127D1E342A57',
                            ],
                            'Code' => [
                                'description' => '成功',
                                'type' => 'integer',
                                'format' => 'int32',
                                'example' => '200',
                            ],
                            'Data' => [
                                'description' => '返回数据。',
                                'type' => 'object',
                                'example' => '{'."\n"
                                    .'      "score": 1,'."\n"
                                    .'      "classID": "269_2b6819527769749d962bf51d034b1820",'."\n"
                                    .'      "tables": ['."\n"
                                    .'            {'."\n"
                                    .'                  "columns": ['."\n"
                                    .'                        {'."\n"
                                    .'                              "header_value": "姓名",'."\n"
                                    .'                              "bodies": ['."\n"
                                    .'                                    {'."\n"
                                    .'                                          "prob": 0,'."\n"
                                    .'                                          "fieldWordRaw": "学生1",'."\n"
                                    .'                                          "wordInfo": [],'."\n"
                                    .'                                          "location": ['."\n"
                                    .'                                                {'."\n"
                                    .'                                                      "x": 76,'."\n"
                                    .'                                                      "y": 99'."\n"
                                    .'                                                },'."\n"
                                    .'                                                {'."\n"
                                    .'                                                      "x": 187,'."\n"
                                    .'                                                      "y": 99'."\n"
                                    .'                                                },'."\n"
                                    .'                                                {'."\n"
                                    .'                                                      "x": 187,'."\n"
                                    .'                                                      "y": 123'."\n"
                                    .'                                                },'."\n"
                                    .'                                                {'."\n"
                                    .'                                                      "x": 76,'."\n"
                                    .'                                                      "y": 123'."\n"
                                    .'                                                }'."\n"
                                    .'                                          ],'."\n"
                                    .'                                          "value": "学生1"'."\n"
                                    .'                                    },'."\n"
                                    .'                                    {'."\n"
                                    .'                                          "prob": 0,'."\n"
                                    .'                                          "fieldWordRaw": "学生2",'."\n"
                                    .'                                          "wordInfo": [],'."\n"
                                    .'                                          "location": ['."\n"
                                    .'                                                {'."\n"
                                    .'                                                      "x": 76,'."\n"
                                    .'                                                      "y": 123'."\n"
                                    .'                                                },'."\n"
                                    .'                                                {'."\n"
                                    .'                                                      "x": 187,'."\n"
                                    .'                                                      "y": 123'."\n"
                                    .'                                                },'."\n"
                                    .'                                                {'."\n"
                                    .'                                                      "x": 187,'."\n"
                                    .'                                                      "y": 146'."\n"
                                    .'                                                },'."\n"
                                    .'                                                {'."\n"
                                    .'                                                      "x": 76,'."\n"
                                    .'                                                      "y": 146'."\n"
                                    .'                                                }'."\n"
                                    .'                                          ],'."\n"
                                    .'                                          "value": "学生2"'."\n"
                                    .'                                    },'."\n"
                                    .'                                    {'."\n"
                                    .'                                          "prob": 0,'."\n"
                                    .'                                          "fieldWordRaw": "学生3",'."\n"
                                    .'                                          "wordInfo": [],'."\n"
                                    .'                                          "location": ['."\n"
                                    .'                                                {'."\n"
                                    .'                                                      "x": 76,'."\n"
                                    .'                                                      "y": 146'."\n"
                                    .'                                                },'."\n"
                                    .'                                                {'."\n"
                                    .'                                                      "x": 187,'."\n"
                                    .'                                                      "y": 146'."\n"
                                    .'                                                },'."\n"
                                    .'                                                {'."\n"
                                    .'                                                      "x": 187,'."\n"
                                    .'                                                      "y": 169'."\n"
                                    .'                                                },'."\n"
                                    .'                                                {'."\n"
                                    .'                                                      "x": 76,'."\n"
                                    .'                                                      "y": 169'."\n"
                                    .'                                                }'."\n"
                                    .'                                          ],'."\n"
                                    .'                                          "value": "学生3"'."\n"
                                    .'                                    },'."\n"
                                    .'                                    {'."\n"
                                    .'                                          "prob": 0,'."\n"
                                    .'                                          "fieldWordRaw": "学生4",'."\n"
                                    .'                                          "wordInfo": [],'."\n"
                                    .'                                          "location": ['."\n"
                                    .'                                                {'."\n"
                                    .'                                                      "x": 76,'."\n"
                                    .'                                                      "y": 169'."\n"
                                    .'                                                },'."\n"
                                    .'                                                {'."\n"
                                    .'                                                      "x": 187,'."\n"
                                    .'                                                      "y": 169'."\n"
                                    .'                                                },'."\n"
                                    .'                                                {'."\n"
                                    .'                                                      "x": 187,'."\n"
                                    .'                                                      "y": 191'."\n"
                                    .'                                                },'."\n"
                                    .'                                                {'."\n"
                                    .'                                                      "x": 76,'."\n"
                                    .'                                                      "y": 191'."\n"
                                    .'                                                }'."\n"
                                    .'                                          ],'."\n"
                                    .'                                          "value": "学生4"'."\n"
                                    .'                                    },'."\n"
                                    .'                                    {'."\n"
                                    .'                                          "prob": 0,'."\n"
                                    .'                                          "fieldWordRaw": "学生5",'."\n"
                                    .'                                          "wordInfo": [],'."\n"
                                    .'                                          "location": ['."\n"
                                    .'                                                {'."\n"
                                    .'                                                      "x": 76,'."\n"
                                    .'                                                      "y": 191'."\n"
                                    .'                                                },'."\n"
                                    .'                                                {'."\n"
                                    .'                                                      "x": 187,'."\n"
                                    .'                                                      "y": 191'."\n"
                                    .'                                                },'."\n"
                                    .'                                                {'."\n"
                                    .'                                                      "x": 187,'."\n"
                                    .'                                                      "y": 215'."\n"
                                    .'                                                },'."\n"
                                    .'                                                {'."\n"
                                    .'                                                      "x": 76,'."\n"
                                    .'                                                      "y": 215'."\n"
                                    .'                                                }'."\n"
                                    .'                                          ],'."\n"
                                    .'                                          "value": "学生5"'."\n"
                                    .'                                    },'."\n"
                                    .'                                    {'."\n"
                                    .'                                          "prob": 0,'."\n"
                                    .'                                          "fieldWordRaw": "学生6",'."\n"
                                    .'                                          "wordInfo": [],'."\n"
                                    .'                                          "location": ['."\n"
                                    .'                                                {'."\n"
                                    .'                                                      "x": 76,'."\n"
                                    .'                                                      "y": 215'."\n"
                                    .'                                                },'."\n"
                                    .'                                                {'."\n"
                                    .'                                                      "x": 187,'."\n"
                                    .'                                                      "y": 215'."\n"
                                    .'                                                },'."\n"
                                    .'                                                {'."\n"
                                    .'                                                      "x": 187,'."\n"
                                    .'                                                      "y": 238'."\n"
                                    .'                                                },'."\n"
                                    .'                                                {'."\n"
                                    .'                                                      "x": 76,'."\n"
                                    .'                                                      "y": 238'."\n"
                                    .'                                                }'."\n"
                                    .'                                          ],'."\n"
                                    .'                                          "value": "学生6"'."\n"
                                    .'                                    },'."\n"
                                    .'                                    {'."\n"
                                    .'                                          "prob": 0,'."\n"
                                    .'                                          "fieldWordRaw": "学生7",'."\n"
                                    .'                                          "wordInfo": [],'."\n"
                                    .'                                          "location": ['."\n"
                                    .'                                                {'."\n"
                                    .'                                                      "x": 76,'."\n"
                                    .'                                                      "y": 238'."\n"
                                    .'                                                },'."\n"
                                    .'                                                {'."\n"
                                    .'                                                      "x": 187,'."\n"
                                    .'                                                      "y": 238'."\n"
                                    .'                                                },'."\n"
                                    .'                                                {'."\n"
                                    .'                                                      "x": 187,'."\n"
                                    .'                                                      "y": 261'."\n"
                                    .'                                                },'."\n"
                                    .'                                                {'."\n"
                                    .'                                                      "x": 76,'."\n"
                                    .'                                                      "y": 261'."\n"
                                    .'                                                }'."\n"
                                    .'                                          ],'."\n"
                                    .'                                          "value": "学生7"'."\n"
                                    .'                                    },'."\n"
                                    .'                                    {'."\n"
                                    .'                                          "prob": 0,'."\n"
                                    .'                                          "fieldWordRaw": "学生8",'."\n"
                                    .'                                          "wordInfo": [],'."\n"
                                    .'                                          "location": ['."\n"
                                    .'                                                {'."\n"
                                    .'                                                      "x": 76,'."\n"
                                    .'                                                      "y": 261'."\n"
                                    .'                                                },'."\n"
                                    .'                                                {'."\n"
                                    .'                                                      "x": 187,'."\n"
                                    .'                                                      "y": 261'."\n"
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520,\\n                    \\"y\\": 307\\n                  },\\n                  {\\n                    \\"x\\": 520,\\n                    \\"y\\": 330\\n                  },\\n                  {\\n                    \\"x\\": 406,\\n                    \\"y\\": 330\\n                  }\\n                ],\\n                \\"value\\": \\"D010\\"\\n              },\\n              {\\n                \\"prob\\": 0,\\n                \\"fieldWordRaw\\": \\"\\",\\n                \\"wordInfo\\": [],\\n                \\"location\\": [\\n                  {\\n                    \\"x\\": 406,\\n                    \\"y\\": 330\\n                  },\\n                  {\\n                    \\"x\\": 520,\\n                    \\"y\\": 330\\n                  },\\n                  {\\n                    \\"x\\": 520,\\n                    \\"y\\": 352\\n                  },\\n                  {\\n                    \\"x\\": 406,\\n                    \\"y\\": 352\\n                  }\\n                ],\\n                \\"value\\": \\"\\"\\n              },\\n              {\\n                \\"prob\\": 0,\\n                \\"fieldWordRaw\\": \\"\\",\\n                \\"wordInfo\\": [],\\n                \\"location\\": [\\n                  {\\n                    \\"x\\": 406,\\n                    \\"y\\": 352\\n                  },\\n                  {\\n                    \\"x\\": 520,\\n                    \\"y\\": 352\\n                  },\\n                  {\\n                    \\"x\\": 520,\\n                    \\"y\\": 375\\n                  },\\n                  {\\n                    \\"x\\": 406,\\n                    \\"y\\": 375\\n                  }\\n                ],\\n                \\"value\\": \\"\\"\\n              },\\n              {\\n                \\"prob\\": 0,\\n                \\"fieldWordRaw\\": \\"\\",\\n                \\"wordInfo\\": [],\\n                \\"location\\": [\\n                  {\\n                    \\"x\\": 406,\\n                    \\"y\\": 375\\n                  },\\n                  {\\n                    \\"x\\": 520,\\n                    \\"y\\": 375\\n                  },\\n                  {\\n                    \\"x\\": 520,\\n                    \\"y\\": 398\\n                  },\\n                  {\\n                    \\"x\\": 406,\\n                    \\"y\\": 398\\n                  }\\n                ],\\n                \\"value\\": \\"\\"\\n              },\\n              {\\n                \\"prob\\": 0,\\n                \\"fieldWordRaw\\": \\"\\",\\n                \\"wordInfo\\": [],\\n                \\"location\\": [\\n                  {\\n                    \\"x\\": 406,\\n                    \\"y\\": 398\\n                  },\\n                  {\\n                    \\"x\\": 520,\\n                    \\"y\\": 398\\n                  },\\n                  {\\n                    \\"x\\": 520,\\n                    \\"y\\": 422\\n                  },\\n                  {\\n                    \\"x\\": 406,\\n                    \\"y\\": 422\\n                  }\\n                ],\\n                \\"value\\": \\"\\"\\n              },\\n              {\\n                \\"prob\\": 0,\\n                \\"fieldWordRaw\\": \\"\\",\\n                \\"wordInfo\\": [],\\n                \\"location\\": [\\n                  {\\n                    \\"x\\": 406,\\n                    \\"y\\": 422\\n                  },\\n                  {\\n                    \\"x\\": 520,\\n                    \\"y\\": 422\\n                  },\\n                  {\\n                    \\"x\\": 520,\\n                    \\"y\\": 444\\n                  },\\n                  {\\n                    \\"x\\": 406,\\n                    \\"y\\": 444\\n                  }\\n                ],\\n                \\"value\\": \\"\\"\\n              },\\n              {\\n                \\"prob\\": 0,\\n                \\"fieldWordRaw\\": \\"\\",\\n                \\"wordInfo\\": [],\\n                \\"location\\": [\\n                  {\\n                    \\"x\\": 406,\\n                    \\"y\\": 444\\n                  },\\n                  {\\n                    \\"x\\": 520,\\n                    \\"y\\": 444\\n                  },\\n                  {\\n                    \\"x\\": 520,\\n                    \\"y\\": 467\\n                  },\\n                  {\\n                    \\"x\\": 406,\\n                    \\"y\\": 467\\n                  }\\n                ],\\n                \\"value\\": \\"\\"\\n              },\\n              {\\n                \\"prob\\": 0,\\n                \\"fieldWordRaw\\": \\"\\",\\n                \\"wordInfo\\": [],\\n                \\"location\\": [\\n                  {\\n                    \\"x\\": 406,\\n                    \\"y\\": 467\\n                  },\\n                  {\\n                    \\"x\\": 520,\\n                    \\"y\\": 467\\n                  },\\n                  {\\n                    \\"x\\": 520,\\n                    \\"y\\": 491\\n                  },\\n                  {\\n                    \\"x\\": 406,\\n                    \\"y\\": 491\\n                  }\\n                ],\\n                \\"value\\": \\"\\"\\n              },\\n              {\\n                \\"prob\\": 0,\\n                \\"fieldWordRaw\\": \\"\\",\\n                \\"wordInfo\\": [],\\n                \\"location\\": [\\n                  {\\n                    \\"x\\": 406,\\n                    \\"y\\": 491\\n                  },\\n                  {\\n                    \\"x\\": 520,\\n                    \\"y\\": 491\\n                  },\\n                  {\\n                    \\"x\\": 520,\\n                    \\"y\\": 514\\n                  },\\n                  {\\n                    \\"x\\": 406,\\n                    \\"y\\": 514\\n                  }\\n                ],\\n                \\"value\\": \\"\\"\\n              },\\n              {\\n                \\"prob\\": 0,\\n                \\"fieldWordRaw\\": \\"\\",\\n                \\"wordInfo\\": [],\\n                \\"location\\": [\\n                  {\\n                    \\"x\\": 406,\\n                    \\"y\\": 514\\n                  },\\n                  {\\n                    \\"x\\": 520,\\n                    \\"y\\": 514\\n                  },\\n                  {\\n                    \\"x\\": 520,\\n                    \\"y\\": 536\\n                  },\\n                  {\\n                    \\"x\\": 406,\\n                    \\"y\\": 536\\n                  }\\n                ],\\n                \\"value\\": \\"\\"\\n              },\\n              {\\n                \\"prob\\": 0,\\n                \\"fieldWordRaw\\": \\"\\",\\n                \\"wordInfo\\": [],\\n                \\"location\\": [\\n                  {\\n                    \\"x\\": 406,\\n                    \\"y\\": 536\\n                  },\\n                  {\\n                    \\"x\\": 520,\\n                    \\"y\\": 536\\n                  },\\n                  {\\n                    \\"x\\": 520,\\n                    \\"y\\": 559\\n                  },\\n                  {\\n                    \\"x\\": 406,\\n                    \\"y\\": 559\\n                  }\\n                ],\\n                \\"value\\": \\"\\"\\n              }\\n            ],\\n            \\"header_box\\": [\\n              {\\n                \\"x\\": 430,\\n                \\"y\\": 78\\n              },\\n              {\\n                \\"x\\": 493,\\n                \\"y\\": 78\\n              },\\n              {\\n                \\"x\\": 493,\\n                \\"y\\": 99\\n              },\\n              {\\n                \\"x\\": 430,\\n                \\"y\\": 99\\n              }\\n            ],\\n            \\"col_name\\": \\"ID\\"\\n          }\\n        ],\\n        \\"table_id\\": 1675670984484\\n      }\\n    ],\\n    \\"code\\": 0,\\n    \\"data\\": [\\n      {\\n        \\"prob\\": 0.99,\\n        \\"fieldWordRaw\\": \\"班级:初二3班\\",\\n        \\"wordInfo\\": [\\n          {\\n            \\"prob\\": 0.99,\\n            \\"pos\\": [\\n              {\\n                \\"x\\": 2,\\n                \\"y\\": 34\\n              },\\n              {\\n                \\"x\\": 124,\\n                \\"y\\": 34\\n              },\\n              {\\n                \\"x\\": 124,\\n                \\"y\\": 51\\n              },\\n              {\\n                \\"x\\": 2,\\n                \\"y\\": 51\\n              }\\n            ],\\n            \\"word\\": \\"班级:初二3班\\",\\n            \\"charInfo\\": [\\n              {\\n                \\"prob\\": 0.99,\\n                \\"pos\\": [\\n                  {\\n                    \\"x\\": 2,\\n                    \\"y\\": 34\\n                  },\\n                  {\\n                    \\"x\\": 18,\\n                    \\"y\\": 34\\n                  },\\n                  {\\n                    \\"x\\": 18,\\n                    \\"y\\": 48\\n                  },\\n                  {\\n                    \\"x\\": 2,\\n                    \\"y\\": 48\\n                  }\\n                ],\\n                \\"word\\": \\"班\\"\\n              },\\n              {\\n                \\"prob\\": 0.99,\\n                \\"pos\\": [\\n                  {\\n                    \\"x\\": 18,\\n                    \\"y\\": 34\\n                  },\\n                  {\\n                    \\"x\\": 32,\\n                    \\"y\\": 34\\n                  },\\n                  {\\n                    \\"x\\": 32,\\n                    \\"y\\": 48\\n                  },\\n                  {\\n                    \\"x\\": 18,\\n                    \\"y\\": 48\\n                  }\\n                ],\\n                \\"word\\": \\"级\\"\\n              },\\n              {\\n                \\"prob\\": 0.99,\\n                \\"pos\\": [\\n                  {\\n                    \\"x\\": 34,\\n                    \\"y\\": 34\\n                  },\\n                  {\\n                    \\"x\\": 50,\\n                    \\"y\\": 34\\n                  },\\n                  {\\n                    \\"x\\": 50,\\n                    \\"y\\": 48\\n                  },\\n                  {\\n                    \\"x\\": 34,\\n                    \\"y\\": 48\\n                  }\\n                ],\\n                \\"word\\": \\":\\"\\n              },\\n              {\\n                \\"prob\\": 0.99,\\n                \\"pos\\": [\\n                  {\\n                    \\"x\\": 52,\\n                    \\"y\\": 34\\n                  },\\n                  {\\n                    \\"x\\": 71,\\n                    \\"y\\": 34\\n                  },\\n                  {\\n                    \\"x\\": 71,\\n                    \\"y\\": 48\\n                  },\\n                  {\\n                    \\"x\\": 52,\\n                    \\"y\\": 48\\n                  }\\n                ],\\n                \\"word\\": \\"初\\"\\n              },\\n              {\\n                \\"prob\\": 0.99,\\n                \\"pos\\": [\\n                  {\\n                    \\"x\\": 72,\\n                    \\"y\\": 34\\n                  },\\n                  {\\n                    \\"x\\": 88,\\n                    \\"y\\": 34\\n                  },\\n                  {\\n                    \\"x\\": 88,\\n                    \\"y\\": 48\\n                  },\\n                  {\\n                    \\"x\\": 72,\\n                    \\"y\\": 48\\n                  }\\n                ],\\n                \\"word\\": \\"二\\"\\n              },\\n              {\\n                \\"prob\\": 0.99,\\n                \\"pos\\": [\\n                  {\\n                    \\"x\\": 90,\\n                    \\"y\\": 34\\n                  },\\n                  {\\n                    \\"x\\": 100,\\n                    \\"y\\": 34\\n                  },\\n                  {\\n                    \\"x\\": 100,\\n                    \\"y\\": 48\\n                  },\\n                  {\\n                    \\"x\\": 90,\\n                    \\"y\\": 48\\n                  }\\n                ],\\n                \\"word\\": \\"3\\"\\n              },\\n              {\\n                \\"prob\\": 0.99,\\n                \\"pos\\": [\\n                  {\\n                    \\"x\\": 103,\\n                    \\"y\\": 34\\n                  },\\n                  {\\n                    \\"x\\": 124,\\n                    \\"y\\": 34\\n                  },\\n                  {\\n                    \\"x\\": 124,\\n                    \\"y\\": 48\\n                  },\\n                  {\\n                    \\"x\\": 103,\\n                    \\"y\\": 48\\n                  }\\n                ],\\n                \\"word\\": \\"班\\"\\n              }\\n            ]\\n          }\\n        ],\\n        \\"name\\": \\"班级\\",\\n        \\"location\\": [\\n          {\\n            \\"x\\": 1,\\n            \\"y\\": 30\\n          },\\n          {\\n            \\"x\\": 1102,\\n            \\"y\\": 30\\n          },\\n          {\\n            \\"x\\": 1102,\\n            \\"y\\": 54\\n          },\\n          {\\n            \\"x\\": 1,\\n            \\"y\\": 54\\n          }\\n        ],\\n        \\"fieldWord\\": \\"班级:初二3班\\"\\n      }\\n    ],\\n    \\"specificType\\": \\"infoCustomeTableTemp\\",\\n    \\"className\\": \\"自定义表格模板测试cz02064-学生名\\",\\n    \\"originalFileUrl\\": \\"https://doc-automl-public.oss-cn-hangzhou.aliyuncs.com/3/xxx/stage/upload/20230208/oss-uwGPIS8AsKcGRHfMRjvIrQVqN0uAxTgk.png?Expires=1675843535&OSSAccessKeyId=xxx&Signature=uPhg6JpDn47TgLt%2FI%2F7j4f%2FsFeA%3D\\",\\n    \\"templateID\\": \\"269_2b6819527769749d962bf51d034b1820\\",\\n    \\"message\\": \\"\\",\\n    \\"classType\\": \\"template\\",\\n    \\"predictFile\\": \\"https://doc-automl-public.oss-cn-hangzhou.aliyuncs.com/3/xxx/stage/upload/20230208/oss-uwGPIS8AsKcGRHfMRjvIrQVqN0uAxTgk.png?Expires=1675843535&OSSAccessKeyId=xxx&Signature=uPhg6JpDn47TgLt%2FI%2F7j4f%2FsFeA%3D\\"\\n  },\\n  \\"Message\\": \\"success\\"\\n}","type":"json"}]',
            'title' => '分类器服务预测API',
            'requestParamsDescription' => 'content字段和body字段传参二选一,图片URL则content为图片访问地址。内容为base64编码则传参body,且BinaryToText传true。'."\n"
                ."\n"
                .'pdf限制20Mb,10页。'."\n"
                .'除了长文档类型的模型预测以外,其他预测服务只会取第一页进行预测。',
            'responseParamsDescription' => '分类器服务预测接口,返回Data字段解释说明:'."\n"
                .'```json'."\n"
                .'score         预测服务置信度 0-1'."\n"
                .'data          算法返回的预测结果,数组格式 '."\n"
                .'tables        表格区域预测结果'."\n"
                .'prob          算法结果置信度 0-1 '."\n"
                .'fieldName     抽取key '."\n"
                .'fieldWord     抽取value '."\n"
                .'location      抽取结果坐标位置 { "x": 119,"y": 48 }表示页面坐标点 '."\n"
                .'wordInfo      抽取内容详细信息,包括了每个字符的位置信息 '."\n"
                .'specificType  算法类型(infoCustomeKvTemp:自定义KV 模板,infoCustomeTableTemp:自定义表格模板,ocr_infoExtractBill:信息抽取OCR识别,infoExtractBill:单据票证抽取,infoExtractDoc:长文档信息抽取 )'."\n"
                .'classType     模型预测服务、模板预测服务 '."\n"
                .'predictFile   预测文件地址(失效时间60分钟)'."\n"
                .'```',
        ],
        'CreateModelAsyncPredict' => [
            'summary' => '文档自学习创建异步预测任务接口。',
            'methods' => [
                'post',
            ],
            'schemes' => [
                'http',
                'https',
            ],
            'security' => [
                [
                    'AK' => [],
                ],
            ],
            'operationType' => 'write',
            'deprecated' => false,
            'systemTags' => [
                'operationType' => 'create',
                'riskType' => 'none',
                'chargeType' => 'free',
            ],
            'parameters' => [
                [
                    'name' => 'ModelVersion',
                    'in' => 'query',
                    'schema' => [
                        'description' => '模型对应的版本号,如果不传入版本号表示默认用模型最新生效的版本。',
                        'type' => 'string',
                        'required' => false,
                        'example' => 'V1',
                    ],
                ],
                [
                    'name' => 'BinaryToText',
                    'in' => 'query',
                    'schema' => [
                        'description' => 'content字段是图片URL时:false'."\n"
                            .'body为base64的内容时:true',
                        'type' => 'boolean',
                        'required' => false,
                        'example' => 'false:表示content传入的是url'."\n"
                            .'true:表示body是直接传入图片进行base64的内容'."\n",
                        'default' => 'false',
                    ],
                ],
                [
                    'name' => 'Content',
                    'in' => 'query',
                    'schema' => [
                        'description' => '图片或pdf文件访问URL地址',
                        'type' => 'string',
                        'required' => false,
                        'example' => 'https://doc-automl-public.oss-cn-hangzhou.aliyuncs.com/3/1559855998794593/stage/upload/20230206/oss-hlfCRJ1SorSWs10MkqxK6YcL4OVAFSv4.png?Expires=1675665563&OSSAccessKeyId=XXXX&Signature=WLKghBc3zKzWJ3Td69%2B4C21jrbE%3D',
                    ],
                ],
                [
                    'name' => 'ModelId',
                    'in' => 'query',
                    'schema' => [
                        'description' => '模型ID。模型列表页模型ID',
                        'type' => 'integer',
                        'format' => 'int64',
                        'required' => false,
                        'maximum' => '9999999999999',
                        'minimum' => '1',
                        'example' => '123',
                    ],
                ],
                [
                    'name' => 'ServiceName',
                    'in' => 'query',
                    'schema' => [
                        'description' => '预训练服务名称',
                        'type' => 'string',
                        'required' => false,
                        'example' => 'pre_train_service',
                    ],
                ],
                [
                    'name' => 'ServiceVersion',
                    'in' => 'query',
                    'schema' => [
                        'description' => '预训练服务版本',
                        'type' => 'string',
                        'required' => false,
                        'example' => 'V1',
                    ],
                ],
                [
                    'name' => 'Body',
                    'in' => 'formData',
                    'schema' => [
                        'description' => '图片base64编码内容',
                        'type' => 'string',
                        'required' => false,
                        'example' => 'data:image/png;base64,xxxxx',
                    ],
                ],
            ],
            'responses' => [
                200 => [
                    'schema' => [
                        'title' => 'Schema of Response',
                        'description' => 'Schema of Response',
                        'type' => 'object',
                        'properties' => [
                            'RequestId' => [
                                'title' => 'Id of the request',
                                'description' => 'Id of the request',
                                'type' => 'string',
                                'example' => '3EAC98E6-8DD6-511F-8764-DEE8B6EB6BB4',
                            ],
                            'Code' => [
                                'description' => '请求结果状态,200为成功',
                                'type' => 'integer',
                                'format' => 'int32',
                                'example' => '200',
                            ],
                            'Message' => [
                                'description' => '错误信息。',
                                'type' => 'string',
                                'example' => 'success',
                            ],
                            'Data' => [
                                'description' => '返回数据',
                                'type' => 'string',
                                'example' => '{'."\n"
                                    .'  "RequestId": "292D1584-134C-1221-B9BB-1B847C623D41",'."\n"
                                    .'  "Message": "",'."\n"
                                    .'  "Data": 1,'."\n"
                                    .'  "Code": 200'."\n"
                                    .'}',
                            ],
                        ],
                    ],
                ],
            ],
            'errorCodes' => [
                200 => [
                    [
                        'errorCode' => '21002',
                        'errorMessage' => '模板预测超时	',
                    ],
                    [
                        'errorCode' => '21003',
                        'errorMessage' => '模板预测失败',
                    ],
                    [
                        'errorCode' => '10001',
                        'errorMessage' => '参数出错',
                    ],
                    [
                        'errorCode' => '10005',
                        'errorMessage' => '服务不存在',
                    ],
                    [
                        'errorCode' => '16001',
                        'errorMessage' => '未找到可预测的模型',
                    ],
                    [
                        'errorCode' => '13018',
                        'errorMessage' => '未找到模型信息',
                    ],
                    [
                        'errorCode' => '16004',
                        'errorMessage' => '指定的模型不存在',
                    ],
                    [
                        'errorCode' => '23002',
                        'errorMessage' => '获取资源HTTP异常',
                    ],
                    [
                        'errorCode' => '11002',
                        'errorMessage' => '账号没有开通服务',
                    ],
                    [
                        'errorCode' => '19999',
                        'errorMessage' => '未知异常',
                    ],
                ],
            ],
            'staticInfo' => [
                'returnType' => 'synchronous',
            ],
            'responseDemo' => '[{"errorExample":"","example":"{\\n  \\"RequestId\\": \\"3EAC98E6-8DD6-511F-8764-DEE8B6EB6BB4\\",\\n  \\"Code\\": 200,\\n  \\"Message\\": \\"success\\",\\n  \\"Data\\": \\"{\\\\n  \\\\\\"RequestId\\\\\\": \\\\\\"292D1584-134C-1221-B9BB-1B847C623D41\\\\\\",\\\\n  \\\\\\"Message\\\\\\": \\\\\\"\\\\\\",\\\\n  \\\\\\"Data\\\\\\": 1,\\\\n  \\\\\\"Code\\\\\\": 200\\\\n}\\"\\n}","type":"json"}]',
            'title' => '模型异步预测API',
            'requestParamsDescription' => 'BinaryToText为非必填项。'."\n"
                ."\n"
                .'content字段和body字段传参二选一,图片URL则content为图片访问地址。内容为base64编码则传参body,且BinaryToText传true。'."\n"
                ."\n"
                .'pdf 限制20Mb 10页'."\n"
                .'除了长文档类型的模型预测以外,其他预测服务只会取第一页进行预测。',
            'responseParamsDescription' => 'Data字段为创建的异步任务ID,通过GetModelAsyncPredict获取结果',
        ],
        'GetModelAsyncPredict' => [
            'summary' => '模型预测分为三种类型:长文档信息抽取、单票据信息抽取、表格信息抽取。',
            'methods' => [
                'post',
            ],
            'schemes' => [
                'http',
                'https',
            ],
            'security' => [
                [
                    'AK' => [],
                ],
            ],
            'operationType' => 'read',
            'deprecated' => false,
            'systemTags' => [
                'operationType' => 'get',
                'riskType' => 'none',
                'chargeType' => 'free',
            ],
            'parameters' => [
                [
                    'name' => 'AsyncPredictId',
                    'in' => 'query',
                    'schema' => [
                        'description' => '异步预测唯一ID,用于查询异步预测结果。',
                        'type' => 'integer',
                        'format' => 'int64',
                        'required' => true,
                        'maximum' => '99999999999999',
                        'minimum' => '1',
                        'example' => '1',
                    ],
                ],
            ],
            'responses' => [
                200 => [
                    'schema' => [
                        'title' => 'Schema of Response',
                        'description' => 'Schema of Response',
                        'type' => 'object',
                        'properties' => [
                            'RequestId' => [
                                'title' => 'Id of the request',
                                'description' => 'Id of the request',
                                'type' => 'string',
                                'example' => '3EAC98E6-8DD6-511F-8764-DEE8B6EB6BB4',
                            ],
                            'Code' => [
                                'description' => '请求结果状态,200为成功',
                                'type' => 'integer',
                                'format' => 'int32',
                                'example' => '200',
                            ],
                            'Message' => [
                                'description' => '错误信息。',
                                'type' => 'string',
                                'example' => 'success',
                            ],
                            'Data' => [
                                'description' => '返回数据',
                                'type' => 'string',
                                'example' => '{'."\n"
                                    .'  "RequestId": "A9796F06-F1C4-1E89-8AFD-596583FF4B16",'."\n"
                                    .'  "Message": "",'."\n"
                                    .'  "Data": {'."\n"
                                    .'    "result": "https://doc-automl-public.oss-cn-hangzhou.aliyuncs.com/3/stage/data/XXXX/asyncPredict/713908/oss-933bbdf4-fa10-4c56-b6ab-9c85f32bbd0e.json?Expires=1991115127&OSSAccessKeyId=XXXX&Signature=5zYLY9yR%2B9Ok1WuRgHYdqtXHK10%3D",'."\n"
                                    .'    "asyncPredictId": 713908,'."\n"
                                    .'    "errorCode": 200,'."\n"
                                    .'    "errorMsg": "",'."\n"
                                    .'    "status": 2'."\n"
                                    .'  },'."\n"
                                    .'  "Code": 200'."\n"
                                    .'}',
                            ],
                        ],
                    ],
                ],
            ],
            'errorCodes' => [
                200 => [
                    [
                        'errorCode' => '21002',
                        'errorMessage' => '模板预测超时',
                    ],
                    [
                        'errorCode' => '21003',
                        'errorMessage' => '模板预测失败',
                    ],
                    [
                        'errorCode' => '10001',
                        'errorMessage' => '参数出错',
                    ],
                    [
                        'errorCode' => '10005',
                        'errorMessage' => '服务不存在',
                    ],
                    [
                        'errorCode' => '16001',
                        'errorMessage' => '未找到可预测的模型',
                    ],
                    [
                        'errorCode' => '13018',
                        'errorMessage' => '未找到模型信息',
                    ],
                    [
                        'errorCode' => '16004',
                        'errorMessage' => '指定的模型不存在',
                    ],
                    [
                        'errorCode' => '23002',
                        'errorMessage' => '获取资源HTTP异常',
                    ],
                    [
                        'errorCode' => '11002',
                        'errorMessage' => '账号没有开通服务',
                    ],
                    [
                        'errorCode' => '19999',
                        'errorMessage' => '未知异常',
                    ],
                ],
            ],
            'staticInfo' => [
                'returnType' => 'synchronous',
            ],
            'responseDemo' => '[{"errorExample":"","example":"{\\n  \\"RequestId\\": \\"3EAC98E6-8DD6-511F-8764-DEE8B6EB6BB4\\",\\n  \\"Code\\": 200,\\n  \\"Message\\": \\"success\\",\\n  \\"Data\\": \\"{\\\\n  \\\\\\"RequestId\\\\\\": \\\\\\"A9796F06-F1C4-1E89-8AFD-596583FF4B16\\\\\\",\\\\n  \\\\\\"Message\\\\\\": \\\\\\"\\\\\\",\\\\n  \\\\\\"Data\\\\\\": {\\\\n    \\\\\\"result\\\\\\": \\\\\\"https://doc-automl-public.oss-cn-hangzhou.aliyuncs.com/3/stage/data/XXXX/asyncPredict/713908/oss-933bbdf4-fa10-4c56-b6ab-9c85f32bbd0e.json?Expires=1991115127&OSSAccessKeyId=XXXX&Signature=5zYLY9yR%2B9Ok1WuRgHYdqtXHK10%3D\\\\\\",\\\\n    \\\\\\"asyncPredictId\\\\\\": 713908,\\\\n    \\\\\\"errorCode\\\\\\": 200,\\\\n    \\\\\\"errorMsg\\\\\\": \\\\\\"\\\\\\",\\\\n    \\\\\\"status\\\\\\": 2\\\\n  },\\\\n  \\\\\\"Code\\\\\\": 200\\\\n}\\"\\n}","type":"json"}]',
            'title' => '获取模型异步预测结果API',
            'responseParamsDescription' => 'status 表示任务状态,0:未开始,1:异步任务运行中、 2:异步任务完成 、 3:异步任务运行失败。'."\n"
                ."\n"
                .'当status = 2 时,result为模型预测的结果URL。',
        ],
        'PredictPreTrainModel' => [
            'summary' => '预置能力现有:UIE抽取,适用于通用智能预标注。',
            'methods' => [
                'post',
            ],
            'schemes' => [
                'http',
                'https',
            ],
            'security' => [
                [
                    'AK' => [],
                ],
            ],
            'operationType' => 'read',
            'deprecated' => false,
            'systemTags' => [
                'operationType' => 'get',
                'riskType' => 'none',
                'chargeType' => 'free',
            ],
            'parameters' => [
                [
                    'name' => 'Content',
                    'in' => 'query',
                    'schema' => [
                        'description' => '预测内容,格式为JSON字符串。'."\n"
                            .'UIE抽取参数格式{"query":"xxx","schema":["字段1","字段2"]}, query对应图片URL,schema对应要抽取的字段数组',
                        'type' => 'string',
                        'required' => false,
                        'example' => '{"query":"https://doc-automl-public.oss-cn-hangzhou.aliyuncs.com/demo/extractBill.png", "schema":["姓名", "住址"]}',
                    ],
                ],
                [
                    'name' => 'ServiceVersion',
                    'in' => 'query',
                    'schema' => [
                        'description' => '预置能力服务版本,默认V1',
                        'type' => 'string',
                        'required' => false,
                        'example' => 'V1',
                    ],
                ],
                [
                    'name' => 'ServiceName',
                    'in' => 'query',
                    'schema' => [
                        'description' => '预置能力服务名称,必填'."\n"
                            .'UIE抽取对应“FormUIE”',
                        'type' => 'string',
                        'required' => false,
                        'example' => 'FormUIE',
                    ],
                ],
                [
                    'name' => 'BinaryToText',
                    'in' => 'query',
                    'schema' => [
                        'description' => 'content字段内容为图片URL时:false,'."\n"
                            .'body字段内容为图片base64时:true',
                        'type' => 'boolean',
                        'required' => false,
                        'example' => 'false',
                        'default' => 'false',
                    ],
                ],
                [
                    'name' => 'Body',
                    'in' => 'formData',
                    'schema' => [
                        'description' => '图片传递base64编码时的预测内容,格式为json字符串。'."\n"
                            .'UIE抽取参数格式{"query":"xxx","schema":["字段1","字段2"]}, query对应图片base64编码,schema对应要抽取的字段数组',
                        'type' => 'string',
                        'required' => false,
                        'example' => '{"query":"data:image/png;base64,xxxxx","schema":["姓名", "住址"]}',
                    ],
                ],
            ],
            'responses' => [
                200 => [
                    'schema' => [
                        'title' => 'Schema of Response',
                        'description' => 'Schema of Response',
                        'type' => 'object',
                        'properties' => [
                            'RequestId' => [
                                'title' => 'Id of the request',
                                'description' => 'Id of the request',
                                'type' => 'string',
                                'example' => '29413C69-11EF-15CB-BE20-70D318E2F4E9',
                            ],
                            'Code' => [
                                'description' => '请求结果状态,200为成功',
                                'type' => 'integer',
                                'format' => 'int32',
                                'example' => '200',
                            ],
                            'Message' => [
                                'description' => '错误信息',
                                'type' => 'string',
                                'example' => 'success',
                            ],
                            'Data' => [
                                'description' => '接口返回信息',
                                'type' => 'object',
                                'example' => '{'."\n"
                                    .'  "RequestId": "29413C69-11EF-15CB-BE20-70D318E2F4E9",'."\n"
                                    .'  "Message": "success",'."\n"
                                    .'  "Data": {'."\n"
                                    .'    "score": 1,'."\n"
                                    .'    "data": ['."\n"
                                    .'      {'."\n"
                                    .'        "prob": 0.9138551354408264,'."\n"
                                    .'        "fieldWordRaw": "xx",'."\n"
                                    .'        "wordInfo": ['."\n"
                                    .'          {'."\n"
                                    .'            "prob": 0.9138551354408264,'."\n"
                                    .'            "pos": ['."\n"
                                    .'              {'."\n"
                                    .'                "x": 468,'."\n"
                                    .'                "y": 139'."\n"
                                    .'              },'."\n"
                                    .'              {'."\n"
                                    .'                "x": 476,'."\n"
                                    .'                "y": 139'."\n"
                                    .'              },'."\n"
                                    .'              {'."\n"
                                    .'                "x": 476,'."\n"
                                    .'                "y": 153'."\n"
                                    .'              },'."\n"
                                    .'              {'."\n"
                                    .'                "x": 468,'."\n"
                                    .'                "y": 153'."\n"
                                    .'              }'."\n"
                                    .'            ],'."\n"
                                    .'            "word": "xx",'."\n"
                                    .'            "charInfo": ['."\n"
                                    .'              {'."\n"
                                    .'                "prob": 0.99,'."\n"
                                    .'                "pos": ['."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 468,'."\n"
                                    .'                    "y": 139'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 471,'."\n"
                                    .'                    "y": 139'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 471,'."\n"
                                    .'                    "y": 153'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 468,'."\n"
                                    .'                    "y": 153'."\n"
                                    .'                  }'."\n"
                                    .'                ],'."\n"
                                    .'                "word": "x"'."\n"
                                    .'              },'."\n"
                                    .'              {'."\n"
                                    .'                "prob": 0.99,'."\n"
                                    .'                "pos": ['."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 473,'."\n"
                                    .'                    "y": 139'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 476,'."\n"
                                    .'                    "y": 139'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 476,'."\n"
                                    .'                    "y": 153'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 473,'."\n"
                                    .'                    "y": 153'."\n"
                                    .'                  }'."\n"
                                    .'                ],'."\n"
                                    .'                "word": "x"'."\n"
                                    .'              }'."\n"
                                    .'            ]'."\n"
                                    .'          }'."\n"
                                    .'        ],'."\n"
                                    .'        "name": "姓名",'."\n"
                                    .'        "location": ['."\n"
                                    .'          {'."\n"
                                    .'            "x": 468,'."\n"
                                    .'            "y": 139'."\n"
                                    .'          },'."\n"
                                    .'          {'."\n"
                                    .'            "x": 476,'."\n"
                                    .'            "y": 139'."\n"
                                    .'          },'."\n"
                                    .'          {'."\n"
                                    .'            "x": 476,'."\n"
                                    .'            "y": 153'."\n"
                                    .'          },'."\n"
                                    .'          {'."\n"
                                    .'            "x": 468,'."\n"
                                    .'            "y": 153'."\n"
                                    .'          }'."\n"
                                    .'        ],'."\n"
                                    .'        "fieldWord": "xx"'."\n"
                                    .'      },'."\n"
                                    .'      {'."\n"
                                    .'        "prob": 0.9594210982322693,'."\n"
                                    .'        "fieldWordRaw": "xxxxxxxxxxx",'."\n"
                                    .'        "wordInfo": ['."\n"
                                    .'          {'."\n"
                                    .'            "prob": 0.9594210982322693,'."\n"
                                    .'            "pos": ['."\n"
                                    .'              {'."\n"
                                    .'                "x": 168,'."\n"
                                    .'                "y": 164'."\n"
                                    .'              },'."\n"
                                    .'              {'."\n"
                                    .'                "x": 467,'."\n"
                                    .'                "y": 164'."\n"
                                    .'              },'."\n"
                                    .'              {'."\n"
                                    .'                "x": 467,'."\n"
                                    .'                "y": 239'."\n"
                                    .'              },'."\n"
                                    .'              {'."\n"
                                    .'                "x": 168,'."\n"
                                    .'                "y": 239'."\n"
                                    .'              }'."\n"
                                    .'            ],'."\n"
                                    .'            "word": "xxxxxxxxxxx",'."\n"
                                    .'            "charInfo": ['."\n"
                                    .'              {'."\n"
                                    .'                "prob": 0.99,'."\n"
                                    .'                "pos": ['."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 366,'."\n"
                                    .'                    "y": 164'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 383,'."\n"
                                    .'                    "y": 164'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 383,'."\n"
                                    .'                    "y": 179'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 366,'."\n"
                                    .'                    "y": 179'."\n"
                                    .'                  }'."\n"
                                    .'                ],'."\n"
                                    .'                "word": "x"'."\n"
                                    .'              },'."\n"
                                    .'              {'."\n"
                                    .'                "prob": 0.99,'."\n"
                                    .'                "pos": ['."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 384,'."\n"
                                    .'                    "y": 164'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 401,'."\n"
                                    .'                    "y": 164'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 401,'."\n"
                                    .'                    "y": 179'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 384,'."\n"
                                    .'                    "y": 179'."\n"
                                    .'                  }'."\n"
                                    .'                ],'."\n"
                                    .'                "word": "x"'."\n"
                                    .'              },'."\n"
                                    .'              {'."\n"
                                    .'                "prob": 0.99,'."\n"
                                    .'                "pos": ['."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 402,'."\n"
                                    .'                    "y": 164'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 414,'."\n"
                                    .'                    "y": 164'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 414,'."\n"
                                    .'                    "y": 179'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 402,'."\n"
                                    .'                    "y": 179'."\n"
                                    .'                  }'."\n"
                                    .'                ],'."\n"
                                    .'                "word": "x"'."\n"
                                    .'              },'."\n"
                                    .'              {'."\n"
                                    .'                "prob": 0.99,'."\n"
                                    .'                "pos": ['."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 418,'."\n"
                                    .'                    "y": 164'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 427,'."\n"
                                    .'                    "y": 164'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 427,'."\n"
                                    .'                    "y": 179'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 418,'."\n"
                                    .'                    "y": 179'."\n"
                                    .'                  }'."\n"
                                    .'                ],'."\n"
                                    .'                "word": "x"'."\n"
                                    .'              },'."\n"
                                    .'              {'."\n"
                                    .'                "prob": 0.99,'."\n"
                                    .'                "pos": ['."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 429,'."\n"
                                    .'                    "y": 164'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 438,'."\n"
                                    .'                    "y": 164'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 438,'."\n"
                                    .'                    "y": 179'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 429,'."\n"
                                    .'                    "y": 179'."\n"
                                    .'                  }'."\n"
                                    .'                ],'."\n"
                                    .'                "word": "x"'."\n"
                                    .'              },'."\n"
                                    .'              {'."\n"
                                    .'                "prob": 0.99,'."\n"
                                    .'                "pos": ['."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 439,'."\n"
                                    .'                    "y": 164'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 448,'."\n"
                                    .'                    "y": 164'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 448,'."\n"
                                    .'                    "y": 179'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 439,'."\n"
                                    .'                    "y": 179'."\n"
                                    .'                  }'."\n"
                                    .'                ],'."\n"
                                    .'                "word": "x"'."\n"
                                    .'              },'."\n"
                                    .'              {'."\n"
                                    .'                "prob": 0.99,'."\n"
                                    .'                "pos": ['."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 450,'."\n"
                                    .'                    "y": 164'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 467,'."\n"
                                    .'                    "y": 164'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 467,'."\n"
                                    .'                    "y": 179'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 450,'."\n"
                                    .'                    "y": 179'."\n"
                                    .'                  }'."\n"
                                    .'                ],'."\n"
                                    .'                "word": "x"'."\n"
                                    .'              },'."\n"
                                    .'              {'."\n"
                                    .'                "prob": 0.99,'."\n"
                                    .'                "pos": ['."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 168,'."\n"
                                    .'                    "y": 224'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 180,'."\n"
                                    .'                    "y": 224'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 180,'."\n"
                                    .'                    "y": 239'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 168,'."\n"
                                    .'                    "y": 239'."\n"
                                    .'                  }'."\n"
                                    .'                ],'."\n"
                                    .'                "word": "x"'."\n"
                                    .'              },'."\n"
                                    .'              {'."\n"
                                    .'                "prob": 0.99,'."\n"
                                    .'                "pos": ['."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 180,'."\n"
                                    .'                    "y": 224'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 192,'."\n"
                                    .'                    "y": 224'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 192,'."\n"
                                    .'                    "y": 239'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 180,'."\n"
                                    .'                    "y": 239'."\n"
                                    .'                  }'."\n"
                                    .'                ],'."\n"
                                    .'                "word": "x"'."\n"
                                    .'              },'."\n"
                                    .'              {'."\n"
                                    .'                "prob": 0.99,'."\n"
                                    .'                "pos": ['."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 195,'."\n"
                                    .'                    "y": 224'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 209,'."\n"
                                    .'                    "y": 224'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 209,'."\n"
                                    .'                    "y": 239'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 195,'."\n"
                                    .'                    "y": 239'."\n"
                                    .'                  }'."\n"
                                    .'                ],'."\n"
                                    .'                "word": "1"'."\n"
                                    .'              },'."\n"
                                    .'              {'."\n"
                                    .'                "prob": 0.99,'."\n"
                                    .'                "pos": ['."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 211,'."\n"
                                    .'                    "y": 224'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 223,'."\n"
                                    .'                    "y": 224'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 223,'."\n"
                                    .'                    "y": 239'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 211,'."\n"
                                    .'                    "y": 239'."\n"
                                    .'                  }'."\n"
                                    .'                ],'."\n"
                                    .'                "word": "7"'."\n"
                                    .'              },'."\n"
                                    .'              {'."\n"
                                    .'                "prob": 0.99,'."\n"
                                    .'                "pos": ['."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 224,'."\n"
                                    .'                    "y": 224'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 236,'."\n"
                                    .'                    "y": 224'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 236,'."\n"
                                    .'                    "y": 239'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 224,'."\n"
                                    .'                    "y": 239'."\n"
                                    .'                  }'."\n"
                                    .'                ],'."\n"
                                    .'                "word": "2"'."\n"
                                    .'              },'."\n"
                                    .'              {'."\n"
                                    .'                "prob": 0.99,'."\n"
                                    .'                "pos": ['."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 237,'."\n"
                                    .'                    "y": 224'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 249,'."\n"
                                    .'                    "y": 224'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 249,'."\n"
                                    .'                    "y": 239'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 237,'."\n"
                                    .'                    "y": 239'."\n"
                                    .'                  }'."\n"
                                    .'                ],'."\n"
                                    .'                "word": "7"'."\n"
                                    .'              },'."\n"
                                    .'              {'."\n"
                                    .'                "prob": 0.99,'."\n"
                                    .'                "pos": ['."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 253,'."\n"
                                    .'                    "y": 224'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 270,'."\n"
                                    .'                    "y": 224'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 270,'."\n"
                                    .'                    "y": 239'."\n"
                                    .'                  },'."\n"
                                    .'                  {'."\n"
                                    .'                    "x": 253,'."\n"
                                    .'                    "y": 239'."\n"
                                    .'                  }'."\n"
                                    .'                ],'."\n"
                                    .'                "word": "x"'."\n"
                                    .'              }'."\n"
                                    .'            ]'."\n"
                                    .'          }'."\n"
                                    .'        ],'."\n"
                                    .'        "name": "住址",'."\n"
                                    .'        "location": ['."\n"
                                    .'          {'."\n"
                                    .'            "x": 168,'."\n"
                                    .'            "y": 164'."\n"
                                    .'          },'."\n"
                                    .'          {'."\n"
                                    .'            "x": 467,'."\n"
                                    .'            "y": 164'."\n"
                                    .'          },'."\n"
                                    .'          {'."\n"
                                    .'            "x": 467,'."\n"
                                    .'            "y": 239'."\n"
                                    .'          },'."\n"
                                    .'          {'."\n"
                                    .'            "x": 168,'."\n"
                                    .'            "y": 239'."\n"
                                    .'          }'."\n"
                                    .'        ],'."\n"
                                    .'        "fieldWord": "xxxxxxxx"'."\n"
                                    .'      }'."\n"
                                    .'    ],'."\n"
                                    .'    "specificType": "formuie-anti",'."\n"
                                    .'    "classType": "preDefinedServer",'."\n"
                                    .'    "predictFile": "https://xxxx"'."\n"
                                    .'  },'."\n"
                                    .'  "Code": 200'."\n"
                                    .'}',
                            ],
                        ],
                    ],
                ],
            ],
            'errorCodes' => [
                200 => [
                    [
                        'errorCode' => '21002',
                        'errorMessage' => '模板预测超时',
                    ],
                    [
                        'errorCode' => '21003',
                        'errorMessage' => '模版预测失败',
                    ],
                    [
                        'errorCode' => '10001',
                        'errorMessage' => '参数出错',
                    ],
                    [
                        'errorCode' => '16001',
                        'errorMessage' => '未找到可预测的模型',
                    ],
                    [
                        'errorCode' => '13018',
                        'errorMessage' => '未找到模型信息',
                    ],
                    [
                        'errorCode' => '16004',
                        'errorMessage' => '指定模型不存在',
                    ],
                    [
                        'errorCode' => '23002',
                        'errorMessage' => '获取资源HTTP异常',
                    ],
                    [
                        'errorCode' => '11002',
                        'errorMessage' => '账号没有开通服务',
                    ],
                    [
                        'errorCode' => '19999',
                        'errorMessage' => '未知异常',
                    ],
                    [
                        'errorCode' => '50008',
                        'errorMessage' => '文件过大',
                    ],
                    [
                        'errorCode' => '50007',
                        'errorMessage' => '文件格式不支持',
                    ],
                    [
                        'errorCode' => '10005',
                        'errorMessage' => '服务不存在',
                    ],
                ],
            ],
            'staticInfo' => [
                'returnType' => 'synchronous',
            ],
            'responseDemo' => '[{"errorExample":"","example":"{\\n  \\"RequestId\\": \\"29413C69-11EF-15CB-BE20-70D318E2F4E9\\",\\n  \\"Code\\": 200,\\n  \\"Message\\": \\"success\\",\\n  \\"Data\\": {\\n    \\"RequestId\\": \\"29413C69-11EF-15CB-BE20-70D318E2F4E9\\",\\n    \\"Message\\": \\"success\\",\\n    \\"Data\\": {\\n      \\"score\\": 1,\\n      \\"data\\": [\\n        {\\n          \\"prob\\": 0.9138551354408264,\\n          \\"fieldWordRaw\\": \\"xx\\",\\n          \\"wordInfo\\": [\\n            {\\n              \\"prob\\": 0.9138551354408264,\\n              \\"pos\\": [\\n                {\\n                  \\"x\\": 468,\\n                  \\"y\\": 139\\n                },\\n                {\\n                  \\"x\\": 476,\\n                  \\"y\\": 139\\n                },\\n                {\\n                  \\"x\\": 476,\\n                  \\"y\\": 153\\n                },\\n                {\\n                  \\"x\\": 468,\\n                  \\"y\\": 153\\n                }\\n              ],\\n              \\"word\\": \\"xx\\",\\n              \\"charInfo\\": [\\n                {\\n                  \\"prob\\": 0.99,\\n                  \\"pos\\": [\\n                    {\\n                      \\"x\\": 468,\\n                      \\"y\\": 139\\n                    },\\n                    {\\n                      \\"x\\": 471,\\n                      \\"y\\": 139\\n                    },\\n                    {\\n                      \\"x\\": 471,\\n                      \\"y\\": 153\\n                    },\\n                    {\\n                      \\"x\\": 468,\\n                      \\"y\\": 153\\n                    }\\n                  ],\\n                  \\"word\\": \\"x\\"\\n                },\\n                {\\n                  \\"prob\\": 0.99,\\n                  \\"pos\\": [\\n                    {\\n                      \\"x\\": 473,\\n                      \\"y\\": 139\\n                    },\\n                    {\\n                      \\"x\\": 476,\\n                      \\"y\\": 139\\n                    },\\n                    {\\n                      \\"x\\": 476,\\n                      \\"y\\": 153\\n                    },\\n                    {\\n                      \\"x\\": 473,\\n                      \\"y\\": 153\\n                    }\\n                  ],\\n                  \\"word\\": \\"x\\"\\n                }\\n              ]\\n            }\\n          ],\\n          \\"name\\": \\"姓名\\",\\n          \\"location\\": [\\n            {\\n              \\"x\\": 468,\\n              \\"y\\": 139\\n            },\\n            {\\n              \\"x\\": 476,\\n              \\"y\\": 139\\n            },\\n            {\\n              \\"x\\": 476,\\n              \\"y\\": 153\\n            },\\n            {\\n              \\"x\\": 468,\\n              \\"y\\": 153\\n            }\\n          ],\\n          \\"fieldWord\\": \\"xx\\"\\n        },\\n        {\\n          \\"prob\\": 0.9594210982322693,\\n          \\"fieldWordRaw\\": \\"xxxxxxxxxxx\\",\\n          \\"wordInfo\\": [\\n            {\\n              \\"prob\\": 0.9594210982322693,\\n              \\"pos\\": [\\n                {\\n                  \\"x\\": 168,\\n                  \\"y\\": 164\\n                },\\n                {\\n                  \\"x\\": 467,\\n                  \\"y\\": 164\\n                },\\n                {\\n                  \\"x\\": 467,\\n                  \\"y\\": 239\\n                },\\n                {\\n                  \\"x\\": 168,\\n                  \\"y\\": 239\\n                }\\n              ],\\n              \\"word\\": \\"xxxxxxxxxxx\\",\\n              \\"charInfo\\": [\\n                {\\n                  \\"prob\\": 0.99,\\n                  \\"pos\\": [\\n                    {\\n                      \\"x\\": 366,\\n                      \\"y\\": 164\\n                    },\\n                    {\\n                      \\"x\\": 383,\\n                      \\"y\\": 164\\n                    },\\n                    {\\n                      \\"x\\": 383,\\n                      \\"y\\": 179\\n                    },\\n                    {\\n                      \\"x\\": 366,\\n                      \\"y\\": 179\\n                    }\\n                  ],\\n                  \\"word\\": \\"x\\"\\n                },\\n                {\\n                  \\"prob\\": 0.99,\\n                  \\"pos\\": [\\n                    {\\n                      \\"x\\": 384,\\n                      \\"y\\": 164\\n                    },\\n                    {\\n                      \\"x\\": 401,\\n                      \\"y\\": 164\\n                    },\\n                    {\\n                      \\"x\\": 401,\\n                      \\"y\\": 179\\n                    },\\n                    {\\n                      \\"x\\": 384,\\n                      \\"y\\": 179\\n                    }\\n                  ],\\n                  \\"word\\": \\"x\\"\\n                },\\n                {\\n                  \\"prob\\": 0.99,\\n                  \\"pos\\": [\\n                    {\\n                      \\"x\\": 402,\\n                      \\"y\\": 164\\n                    },\\n                    {\\n                      \\"x\\": 414,\\n                      \\"y\\": 164\\n                    },\\n                    {\\n                      \\"x\\": 414,\\n                      \\"y\\": 179\\n                    },\\n                    {\\n                      \\"x\\": 402,\\n                      \\"y\\": 179\\n                    }\\n                  ],\\n                  \\"word\\": \\"x\\"\\n                },\\n                {\\n                  \\"prob\\": 0.99,\\n                  \\"pos\\": [\\n                    {\\n                      \\"x\\": 418,\\n                      \\"y\\": 164\\n                    },\\n                    {\\n                      \\"x\\": 427,\\n                      \\"y\\": 164\\n                    },\\n                    {\\n                      \\"x\\": 427,\\n                      \\"y\\": 179\\n                    },\\n                    {\\n                      \\"x\\": 418,\\n                      \\"y\\": 179\\n                    }\\n                  ],\\n                  \\"word\\": \\"x\\"\\n                },\\n                {\\n                  \\"prob\\": 0.99,\\n                  \\"pos\\": [\\n                    {\\n                      \\"x\\": 429,\\n                      \\"y\\": 164\\n                    },\\n                    {\\n                      \\"x\\": 438,\\n                      \\"y\\": 164\\n                    },\\n                    {\\n                      \\"x\\": 438,\\n                      \\"y\\": 179\\n                    },\\n                    {\\n                      \\"x\\": 429,\\n                      \\"y\\": 179\\n                    }\\n                  ],\\n                  \\"word\\": \\"x\\"\\n                },\\n                {\\n                  \\"prob\\": 0.99,\\n                  \\"pos\\": [\\n                    {\\n                      \\"x\\": 439,\\n                      \\"y\\": 164\\n                    },\\n                    {\\n                      \\"x\\": 448,\\n                      \\"y\\": 164\\n                    },\\n                    {\\n                      \\"x\\": 448,\\n                      \\"y\\": 179\\n                    },\\n                    {\\n                      \\"x\\": 439,\\n                      \\"y\\": 179\\n                    }\\n                  ],\\n                  \\"word\\": \\"x\\"\\n                },\\n                {\\n                  \\"prob\\": 0.99,\\n                  \\"pos\\": [\\n                    {\\n                      \\"x\\": 450,\\n                      \\"y\\": 164\\n                    },\\n                    {\\n                      \\"x\\": 467,\\n                      \\"y\\": 164\\n                    },\\n                    {\\n                      \\"x\\": 467,\\n                      \\"y\\": 179\\n                    },\\n                    {\\n                      \\"x\\": 450,\\n                      \\"y\\": 179\\n                    }\\n                  ],\\n                  \\"word\\": \\"x\\"\\n                },\\n                {\\n                  \\"prob\\": 0.99,\\n                  \\"pos\\": [\\n                    {\\n                      \\"x\\": 168,\\n                      \\"y\\": 224\\n                    },\\n                    {\\n                      \\"x\\": 180,\\n                      \\"y\\": 224\\n                    },\\n                    {\\n                      \\"x\\": 180,\\n                      \\"y\\": 239\\n                    },\\n                    {\\n                      \\"x\\": 168,\\n                      \\"y\\": 239\\n                    }\\n                  ],\\n                  \\"word\\": \\"x\\"\\n                },\\n                {\\n                  \\"prob\\": 0.99,\\n                  \\"pos\\": [\\n                    {\\n                      \\"x\\": 180,\\n                      \\"y\\": 224\\n                    },\\n                    {\\n                      \\"x\\": 192,\\n                      \\"y\\": 224\\n                    },\\n                    {\\n                      \\"x\\": 192,\\n                      \\"y\\": 239\\n                    },\\n                    {\\n                      \\"x\\": 180,\\n                      \\"y\\": 239\\n                    }\\n                  ],\\n                  \\"word\\": \\"x\\"\\n                },\\n                {\\n                  \\"prob\\": 0.99,\\n                  \\"pos\\": [\\n                    {\\n                      \\"x\\": 195,\\n                      \\"y\\": 224\\n                    },\\n                    {\\n                      \\"x\\": 209,\\n                      \\"y\\": 224\\n                    },\\n                    {\\n                      \\"x\\": 209,\\n                      \\"y\\": 239\\n                    },\\n                    {\\n                      \\"x\\": 195,\\n                      \\"y\\": 239\\n                    }\\n                  ],\\n                  \\"word\\": \\"1\\"\\n                },\\n                {\\n                  \\"prob\\": 0.99,\\n                  \\"pos\\": [\\n                    {\\n                      \\"x\\": 211,\\n                      \\"y\\": 224\\n                    },\\n                    {\\n                      \\"x\\": 223,\\n                      \\"y\\": 224\\n                    },\\n                    {\\n                      \\"x\\": 223,\\n                      \\"y\\": 239\\n                    },\\n                    {\\n                      \\"x\\": 211,\\n                      \\"y\\": 239\\n                    }\\n                  ],\\n                  \\"word\\": \\"7\\"\\n                },\\n                {\\n                  \\"prob\\": 0.99,\\n                  \\"pos\\": [\\n                    {\\n                      \\"x\\": 224,\\n                      \\"y\\": 224\\n                    },\\n                    {\\n                      \\"x\\": 236,\\n                      \\"y\\": 224\\n                    },\\n                    {\\n                      \\"x\\": 236,\\n                      \\"y\\": 239\\n                    },\\n                    {\\n                      \\"x\\": 224,\\n                      \\"y\\": 239\\n                    }\\n                  ],\\n                  \\"word\\": \\"2\\"\\n                },\\n                {\\n                  \\"prob\\": 0.99,\\n                  \\"pos\\": [\\n                    {\\n                      \\"x\\": 237,\\n                      \\"y\\": 224\\n                    },\\n                    {\\n                      \\"x\\": 249,\\n                      \\"y\\": 224\\n                    },\\n                    {\\n                      \\"x\\": 249,\\n                      \\"y\\": 239\\n                    },\\n                    {\\n                      \\"x\\": 237,\\n                      \\"y\\": 239\\n                    }\\n                  ],\\n                  \\"word\\": \\"7\\"\\n                },\\n                {\\n                  \\"prob\\": 0.99,\\n                  \\"pos\\": [\\n                    {\\n                      \\"x\\": 253,\\n                      \\"y\\": 224\\n                    },\\n                    {\\n                      \\"x\\": 270,\\n                      \\"y\\": 224\\n                    },\\n                    {\\n                      \\"x\\": 270,\\n                      \\"y\\": 239\\n                    },\\n                    {\\n                      \\"x\\": 253,\\n                      \\"y\\": 239\\n                    }\\n                  ],\\n                  \\"word\\": \\"x\\"\\n                }\\n              ]\\n            }\\n          ],\\n          \\"name\\": \\"住址\\",\\n          \\"location\\": [\\n            {\\n              \\"x\\": 168,\\n              \\"y\\": 164\\n            },\\n            {\\n              \\"x\\": 467,\\n              \\"y\\": 164\\n            },\\n            {\\n              \\"x\\": 467,\\n              \\"y\\": 239\\n            },\\n            {\\n              \\"x\\": 168,\\n              \\"y\\": 239\\n            }\\n          ],\\n          \\"fieldWord\\": \\"xxxxxxxx\\"\\n        }\\n      ],\\n      \\"specificType\\": \\"formuie-anti\\",\\n      \\"classType\\": \\"preDefinedServer\\",\\n      \\"predictFile\\": \\"https://xxxx\\"\\n    },\\n    \\"Code\\": 200\\n  }\\n}","type":"json"}]',
            'title' => '预置能力服务预测API',
            'requestParamsDescription' => 'BinaryToText为非必填项'."\n"
                ."\n"
                .'content字段和body字段传参二选一,图片内容是URL,在传递content字段,内容是base64,传递body字段,且BinaryToText传true',
            'responseParamsDescription' => '模板服务预测接口,返回Data字段解释说明:<br>'."\n"
                .'score        预测服务置信度 0-1 <br>'."\n"
                .'data.         算法返回的预测结果,数组格式<br>'."\n"
                .'prob          算法结果置信度 0-1 <br>'."\n"
                .'name     抽取key<br>'."\n"
                .'fieldWord     抽取value<br>'."\n"
                .'location      抽取结果坐标位置  { "x": 119,"y": 48  }表示页面坐标点<br>'."\n"
                .'wordInfo      抽取内容详细信息,包括了每个字符的位置信息<br>'."\n"
                .'specificType  算法类型(formuie-anti:UIE抽取)<br>'."\n"
                .'classType     preDefinedServer: 预置能力<br>'."\n"
                .'predictFile   预测文件地址(失效时间60分钟)',
        ],
    ],
    'endpoints' => [
        [
            'regionId' => 'cn-beijing',
            'endpoint' => 'documentautoml.cn-beijing.aliyuncs.com',
        ],
    ],
];