data/en_us/documentautoml/2022-12-29/api-docs.php


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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' => '文档自学习模版模型预测接口',
            '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' => '',
                        'type' => 'integer',
                        'format' => 'int64',
                        'required' => true,
                        'example' => '',
                    ],
                ],
                [
                    'name' => 'Content',
                    'in' => 'query',
                    'schema' => [
                        'description' => '',
                        'type' => 'string',
                        'required' => false,
                        'example' => '',
                    ],
                ],
                [
                    'name' => 'BinaryToText',
                    'in' => 'query',
                    'schema' => [
                        'description' => '',
                        'type' => 'boolean',
                        'required' => false,
                        'example' => '',
                    ],
                ],
                [
                    'name' => 'Body',
                    'in' => 'formData',
                    'schema' => [
                        'description' => '',
                        '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' => '',
                                'type' => 'object',
                                'example' => '',
                            ],
                            'Message' => [
                                'description' => '',
                                'type' => 'string',
                                'example' => 'successful',
                            ],
                            'Code' => [
                                'description' => '',
                                '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                  {\\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                  }\\n                ],\\n                \\"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              },\\n              {\\n                \\"prob\\": 0.99,\\n                \\"location\\": [\\n                  {\\n                    \\"x\\": 311,\\n                    \\"y\\": 302\\n                  },\\n                  {\\n                    \\"x\\": 326,\\n                    \\"y\\": 302\\n                  },\\n                  {\\n                    \\"x\\": 326,\\n                    \\"y\\": 319\\n                  },\\n                  {\\n                    \\"x\\": 311,\\n                    \\"y\\": 319\\n                  }\\n                ],\\n                \\"word\\": \\"1\\"\\n              },\\n              {\\n                \\"prob\\": 0.99,\\n                \\"location\\": [\\n                  {\\n                    \\"x\\": 328,\\n                    \\"y\\": 302\\n                  },\\n                  {\\n                    \\"x\\": 343,\\n                    \\"y\\": 302\\n                  },\\n                  {\\n                    \\"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                  }\\n                ],\\n                \\"word\\": \\"8\\"\\n              },\\n              {\\n                \\"prob\\": 0.99,\\n                \\"location\\": [\\n                  {\\n                    \\"x\\": 361,\\n                    \\"y\\": 302\\n                  },\\n                  {\\n                    \\"x\\": 376,\\n                    \\"y\\": 302\\n                  },\\n                  {\\n                    \\"x\\": 376,\\n                    \\"y\\": 319\\n                  },\\n                  {\\n                    \\"x\\": 361,\\n                    \\"y\\": 319\\n                  }\\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                    \\"y\\": 302\\n                  },\\n                  {\\n                    \\"x\\": 411,\\n                    \\"y\\": 319\\n                  },\\n                  {\\n                    \\"x\\": 396,\\n                    \\"y\\": 319\\n                  }\\n                ],\\n                \\"word\\": \\"0\\"\\n              },\\n              {\\n                \\"prob\\": 0.99,\\n                \\"location\\": [\\n                  {\\n                    \\"x\\": 415,\\n                    \\"y\\": 302\\n                  },\\n                  {\\n                    \\"x\\": 430,\\n                    \\"y\\": 302\\n                  },\\n                  {\\n                    \\"x\\": 430,\\n                    \\"y\\": 319\\n                  },\\n                  {\\n                    \\"x\\": 415,\\n                    \\"y\\": 319\\n                  }\\n                ],\\n                \\"word\\": \\"2\\"\\n              },\\n              {\\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"}]',
        ],
        'PredictModel' => [
            'summary' => '文档自学习模型预测接口',
            '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' => '',
                        'type' => 'string',
                        'required' => false,
                        'example' => '',
                    ],
                ],
                [
                    'name' => 'ModelVersion',
                    'in' => 'query',
                    'schema' => [
                        'description' => '',
                        'type' => 'string',
                        'required' => false,
                        'example' => '1',
                    ],
                ],
                [
                    'name' => 'ModelId',
                    'in' => 'query',
                    'schema' => [
                        'description' => '',
                        'type' => 'integer',
                        'format' => 'int64',
                        'required' => true,
                        'maximum' => '9999999999999',
                        'minimum' => '1',
                        'example' => '123',
                    ],
                ],
                [
                    'name' => 'BinaryToText',
                    'in' => 'query',
                    'schema' => [
                        'description' => '',
                        'type' => 'boolean',
                        'required' => false,
                        'example' => '',
                        'default' => 'false',
                    ],
                ],
                [
                    'name' => 'Body',
                    'in' => 'formData',
                    'schema' => [
                        'description' => '',
                        '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' => '',
                                'type' => 'integer',
                                'format' => 'int32',
                                'example' => '200',
                            ],
                            'Message' => [
                                'description' => '',
                                'type' => 'string',
                                'example' => 'success',
                            ],
                            'Data' => [
                                'description' => '',
                                'type' => 'object',
                                'example' => '',
                            ],
                        ],
                    ],
                ],
            ],
            '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"}]',
        ],
        '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' => '',
                        'type' => 'integer',
                        'format' => 'int64',
                        'required' => false,
                        'maximum' => '99999999999999',
                        'minimum' => '1',
                        'example' => '',
                    ],
                ],
                [
                    'name' => 'AutoPrediction',
                    'in' => 'query',
                    'schema' => [
                        'description' => '',
                        'type' => 'boolean',
                        'required' => false,
                        'example' => 'true',
                        'default' => 'true',
                    ],
                ],
                [
                    'name' => 'Content',
                    'in' => 'query',
                    'schema' => [
                        'description' => '',
                        'type' => 'string',
                        'required' => false,
                        'example' => '',
                    ],
                ],
                [
                    'name' => 'Body',
                    'in' => 'formData',
                    'schema' => [
                        'description' => '',
                        'type' => 'string',
                        'required' => false,
                        'example' => 'data:image/png;base64,xxxxx'."\n",
                    ],
                ],
                [
                    'name' => 'BinaryToText',
                    'in' => 'query',
                    'schema' => [
                        'type' => 'boolean',
                        'required' => 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' => '',
                                'type' => 'integer',
                                'format' => 'int32',
                                'example' => '200',
                            ],
                            'Data' => [
                                'description' => '',
                                'type' => 'object',
                                'example' => '',
                            ],
                            'Message' => [
                                'description' => '',
                                'type' => 'string',
                                'example' => 'success',
                            ],
                        ],
                    ],
                ],
            ],
            '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' => '10002',
                        'errorMessage' => '没有权限',
                    ],
                    [
                        'errorCode' => '10003',
                        'errorMessage' => '非法状态',
                    ],
                    [
                        '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\\": \\"232B91A8-9938-5C10-B522-127D1E342A57\\",\\n  \\"Code\\": 200,\\n  \\"Data\\": {\\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                  },\\n                  {\\n                    \\"x\\": 187,\\n                    \\"y\\": 283\\n                  },\\n                  {\\n                    \\"x\\": 76,\\n                    \\"y\\": 283\\n                  }\\n                ],\\n                \\"value\\": \\"学生8\\"\\n              },\\n              {\\n                \\"prob\\": 0,\\n                \\"fieldWordRaw\\": \\"学生9\\",\\n                \\"wordInfo\\": [],\\n                \\"location\\": [\\n                  {\\n                    \\"x\\": 76,\\n                    \\"y\\": 283\\n                  },\\n                  {\\n                    \\"x\\": 187,\\n                    \\"y\\": 283\\n                  },\\n                  {\\n                    \\"x\\": 187,\\n                    \\"y\\": 307\\n                  },\\n                  {\\n                    \\"x\\": 76,\\n                    \\"y\\": 307\\n                  }\\n                ],\\n                \\"value\\": \\"学生9\\"\\n              },\\n              {\\n                \\"prob\\": 0,\\n                \\"fieldWordRaw\\": \\"学生10\\",\\n                \\"wordInfo\\": [],\\n  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        ],
        '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' => '',
                        'type' => 'string',
                        'required' => false,
                        'example' => 'V1',
                    ],
                ],
                [
                    'name' => 'BinaryToText',
                    'in' => 'query',
                    'schema' => [
                        'description' => '',
                        'type' => 'boolean',
                        'required' => false,
                        'example' => '',
                        'default' => 'false',
                    ],
                ],
                [
                    'name' => 'Content',
                    'in' => 'query',
                    'schema' => [
                        'description' => '',
                        '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' => '',
                        'type' => 'integer',
                        'format' => 'int64',
                        'required' => false,
                        'maximum' => '9999999999999',
                        'minimum' => '1',
                        'example' => '123',
                    ],
                ],
                [
                    'name' => 'ServiceName',
                    'in' => 'query',
                    'schema' => [
                        'description' => '',
                        'type' => 'string',
                        'required' => false,
                        'example' => 'pre_train_service',
                    ],
                ],
                [
                    'name' => 'ServiceVersion',
                    'in' => 'query',
                    'schema' => [
                        'description' => '',
                        'type' => 'string',
                        'required' => false,
                        'example' => 'V1',
                    ],
                ],
                [
                    'name' => 'Body',
                    'in' => 'formData',
                    'schema' => [
                        'description' => '',
                        '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' => '',
                                'type' => 'integer',
                                'format' => 'int32',
                                'example' => '200',
                            ],
                            'Message' => [
                                'description' => '',
                                'type' => 'string',
                                'example' => 'success',
                            ],
                            'Data' => [
                                'description' => '',
                                '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"}]',
        ],
        'GetModelAsyncPredict' => [
            'summary' => '获取文档自学习异步模型预测结果',
            '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' => '',
                        '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' => '',
                                'type' => 'integer',
                                'format' => 'int32',
                                'example' => '200',
                            ],
                            'Message' => [
                                'description' => '',
                                'type' => 'string',
                                'example' => 'success',
                            ],
                            'Data' => [
                                'description' => '',
                                '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"}]',
        ],
        'PredictPreTrainModel' => [
            'summary' => '文档自学习预训练模型预测接口',
            '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' => '',
                        'type' => 'string',
                        'required' => false,
                        'example' => '',
                    ],
                ],
                [
                    'name' => 'ServiceVersion',
                    'in' => 'query',
                    'schema' => [
                        'description' => '',
                        'type' => 'string',
                        'required' => false,
                        'example' => 'V1',
                    ],
                ],
                [
                    'name' => 'ServiceName',
                    'in' => 'query',
                    'schema' => [
                        'description' => '',
                        'type' => 'string',
                        'required' => false,
                        'example' => 'FormUIE',
                    ],
                ],
                [
                    'name' => 'BinaryToText',
                    'in' => 'query',
                    'schema' => [
                        'description' => '',
                        'type' => 'boolean',
                        'required' => false,
                        'example' => 'false',
                        'default' => 'false',
                    ],
                ],
                [
                    'name' => 'Body',
                    'in' => 'formData',
                    'schema' => [
                        'description' => '',
                        'type' => 'string',
                        'required' => false,
                        'example' => '',
                    ],
                ],
            ],
            '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' => '',
                                'type' => 'integer',
                                'format' => 'int32',
                                'example' => '200',
                            ],
                            'Message' => [
                                'description' => '',
                                'type' => 'string',
                                'example' => 'success',
                            ],
                            'Data' => [
                                'description' => '',
                                'type' => 'object',
                                'example' => '',
                            ],
                        ],
                    ],
                ],
            ],
            '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\\": 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        ],
    ],
    'endpoints' => [
        [
            'regionId' => 'cn-beijing',
            'endpoint' => 'documentautoml.cn-beijing.aliyuncs.com',
        ],
    ],
];