Phrase TMS API
    1. Phrase
    2. Phrase TMS
    3. Phrase TMS API

    分析聚合 (TMS))

    文本由 Phrase Language AI 从英语机器翻译而得。

    运行聚合查询的数据存储建立在Elasticsearch ⁇ (当前版本1.7.x)之上。Elasticsearch 提供实时搜索和聚合功能，分析 API 在上面形成一个薄薄的安全增强层。例子中使用了弹性搜索查询和聚合语言。

    Indexes

    不同类型的数据生活在不同的索引中。例如,工作数据生活在jobPart索引中,而成本数据生活在成本索引中。可以通过在聚合 API 端点 URL 中指定索引来指定所需的数据。

    父子文件

    工作的部分信息存储在 Elasticsearch 数据库中两个不同的文档中。这些文件是父子关系。例如，有关工作项目的信息存在于父文档中，而有关工作本身的信息存在于子文档中。根据所需的信息，聚合在数据父子聚合之前或之后，但数据聚合本身应存在于所有查询中。

    索引数据模型

    共同数据

    分析

    {
  "id": string,
  "createdBy": <User>,
  "dateCreated":日期，
  "dateDeleted":日期，
  "dateTrashed":日期，
  "deleted": boolean,
  "innerId": number,
  "name": string,
  "tags": string[],
  "trashed": boolean,
  "trashedBy": <User>,
  "type": string
}

    分配

    {
  "name": string,
  "linguist": <User>,
  "vendor": <Vendor>
}

    提交页面

    {
  "id": string,
  "createdBy": <User>,
  "dateCreated":日期，
  "dateDeleted":日期，
  "dateTrashed":日期，
  "deleted": boolean,
  "name": string,
  "tags": string[],
  "trashed": boolean,
  "urlId": string
}

    买方

    {
  "id": string,
  "name": string
}

    客户

    {
  "id": string,
  "dateCreated":日期，
  "dateDeleted":日期，
  "dateTrashed":日期，
  "deleted": boolean,
  "externalId": string,
  "name": string,
  "tags": string[],
  "trashed": boolean,
}

    CostCenter

    {
  "id": string,
  "dateCreated":日期，
  "dateDeleted":日期，
  "dateTrashed":日期，
  "deleted": boolean,
  "name": string,
  "tags": string[],
  "trashed": boolean,
}

    域

    {
  "id": string,
  "dateCreated":日期，
  "dateDeleted":日期，
  "dateTrashed":日期，
  "deleted": boolean,
  "name": string,
  "tags": string[],
  "trashed": boolean
}

    Job

    {
  "id": string,
  "createdBy": <User>,
  "dateCreated":日期，
  "dateDeleted":日期，
  "dateTrashed":日期，
  "deleted": boolean,
  "extension": string,
  "fileName": string,
  "groupCount": number,
  "innerId":"1",
  "languagePair": string,
  "lastModified":日期，
  "localePair": string,
  "sourceLanguage": string,
  "sourceLocale": string,
  "tags": string[],
  "targetLanguage": string,
  "targetLocale": string",
  "taskId": string,
  "trashed": boolean,
  "trashedBy": <User>,
  "uid": string
}

    JobPart

    {
  "id":"19",
  "assignedTo": <Assignment>,
  "beginIndex": number,
  "buyer": <Buyer>,
  "createdBy": <User>,
  "dateCreated":日期，
  "dateDue":日期，
  "endIndex": number,
  "groupCount": number,
  "innerId": string,
  "lastModified":日期，
  "level": number,
  "status": string,
  "tags": [],
  "uid": string,
  "workflowStep": <WorkflowStep>
}

    MtEngine

    {
  "id": string,
  "deleted": boolean,
  "default_: 布尔值,
  "includeTags": boolean,
  "name": string,
  "tags": string[],
  "type": string,
}

    NetRateScheme

    {
  "id": string,
  "createdBy": <User>,
  "dateCreated":日期，
  "dateDeleted":日期，
  "default_": boolean,
  "deleted": boolean,
  "externalId": string,
  "name": string,
  "tags": string[],
}

    PriceList

    {
  "id": string,
  "createdBy": <User>,
  "currency": string,
  "dateCreated":日期，
  "dateDeleted":日期，
  "dateTrashed":日期，
  "default_": boolean,
  "deleted": boolean,
  "name": string,
  "tags": string[],
  "trashed": boolean,
  "unit": string
}

    Project

    {
  "id": string,
  "buyer": <Buyer>,
  "client": <Client>,
  "costCenter": <CostCenter>,
  "createdBy": <User>,
  "dateCreated":日期，
  "dateDeleted":日期，
  "dateDue":日期，
  "dateTrashed":日期，
  "deleted": boolean,
  "domain": <Domain>,
  "innerId": number,
  "languagePairs": string[],
  "localePairs": string[],
  "mtEngine": <MtEngine>,
  "name": string,
  "note": string,
  "owner": <User>,
  "sourceLanguage": string,
  "sourceLocale": string,
  "status": string,
  "subDomain": <SubDomain>,
  "tags": string[],
  "targetLanguages": string[],
  "targetLocales": string[],
  "trashed": boolean,
  "trashedBy": <User>,
  "uid": string,
  "vendor": <Vendor>
}

    报价

    {
  "id": string,
  "createdBy: <User>,
  "currency": string,
  "dateCreated":日期，
  "dateDeleted":日期，
  "dateTrashed":日期，
  "deleted": boolean,
  "innerId": string,
  "name": string,
  "status": string,
  "tags": string[],
  "trashed": boolean,
  "trashedBy": <User>,
  "unit": string
}

    服务

    {
  "id": string,
  "dateCreated":日期，
  "dateDeleted":日期，
  "dateTrashed":日期，
  "deleted": boolean,
  "name": string,
  "publicName": string,
  "tags": string[],
  "trashed": boolean,
  "type": string
}

    SubDomain

    {
  "id": string,
  "dateCreated":日期，
  "dateDeleted":日期，
  "dateTrashed":日期，
  "deleted": boolean,
  "name": string,
  "tags": string[],
  "trashed": boolean
}

    用户

    {
  "id": number,
  "active": boolean,
  "dateCreated":日期，
  "dateDeleted":日期，
  "dateTrashed":日期，
  "deleted": boolean,
  "email": string,
  "firstName": string,
  "fullName": string,
  "innerId": number,
  "jobTitle": string,
  "lastName": string,
  "locale": string,
  "note": string,
  "role": string,
  "tags": string[],
  "timeZone": string,
  "trashed": boolean,
  "userName": string
}

    供应商

    {
  "id": string,
  "candidate": boolean,
  "dateCreated":日期，
  "dateDeleted":日期，
  "dateTrashed":日期，
  "deleted": boolean,
  "tags": string[],
  "token": string,
  "trashed": boolean
}

    WorkflowStep

    {
  "id": string,
  "abbreviation": string,
  "dateDeleted":日期，
  "dateTrashed":日期，
  "name": string,
  "order": number,
  "tags": string[],
  "trashed": boolean
}

    分析指数

    数据聚合

    "data": {
  "children": {
    "type": "analysisType"
  }
}

    父文档

    {
  "automationWidget": <AutomationWidget>,
  "project": <Project>,
  "service": <Service>
}

    子文档

    {
  "analysis": <Analysis>,
  "jobPart": <JobPart>,
  "job": <Job>,
  "netRateScheme": <NetRateScheme>,

  "priority": number,
  "data": {
    "mt": {
      "match0": {
        "characters": number,
        "pages": number,
        "percent": number,
        "segments": number,
        "words": number
      },
      "match100": {
        "characters": number,
        "pages": number,
        "percent": number,
        "segments": number,
        "words": number
      },
      "match50": {
        "characters": number,
        "pages": number,
        "percent": number,
        "segments": number,
        "words": number
      },
      "match75": {
        "characters": number,
        "pages": number,
        "percent": number,
        "segments": number,
        "words": number
      },
      "match85": {
        "characters": number,
        "pages": number,
        "percent": number,
        "segments": number,
        "words": number
      },
      "match95": {
        "characters": number,
        "pages": number,
        "percent": number,
        "segments": number,
        "words": number
      }
    },
    "repetitions": {
      "characters": number,
      "pages": number,
      "percent": number,
      "segments": number,
      "words": number
    },
    "tm": {
      "match0": {
        "characters": number,
        "pages": number,
        "percent": number,
        "segments": number,
        "words": number
      },
      "match100": {
        "characters": number,
        "pages": number,
        "percent": number,
        "segments": number,
        "words": number
      },
      "match101": {
        "characters": number,
        "pages": number,
        "percent": number,
        "segments": number,
        "words": number
      },
      "match50": {
        "characters": number,
        "pages": number,
        "percent": number,
        "segments": number,
        "words": number
      },
      "match75": {
        "characters": number,
        "pages": number,
        "percent": number,
        "segments": number,
        "words": number
      },
      "match85": {
        "characters": number,
        "pages": number,
        "percent": number,
        "segments": number,
        "words": number
      },
      "match95": {
        "characters": number,
        "pages": number,
        "percent": number,
        "segments": number,
        "words": number
      }
    },
    "total": {
      "characters": number,
      "pages": number,
      "percent": number,
      "segments": number,
      "words": number
    }
  }
}

    API 索引

    数据聚合

    "data": {
  "children": {
    "type": "apiType"
  }
}

    父文档

    {
  "user": <User>
}

    子文档

    {
  "request": {
    "date":日期，
    "host": string,
    "ipv4": string,
    "ipv6": string,
    "location": string,
    "method": string
  },
  "response": {
    "date":日期，
    "duration": number,
    "status": number
  },
  "api": {
    "action": string,
    "asynch": boolean,
    "type": string,
    "uri": string,
    "ver": string
  }
}

    成本指数

    数据聚合

    "data": {
  "children": {
    "type": "costsType"
  }
}

    父文档

    {
  "automationWidget": <AutomationWidget>,
  "project": <Project>,
  "service": <Service>
}

    子文档

    {
  "analysis": <Analysis>,
  "job": <Job>,
  "jobPart": <JobPart>,
  "netRateScheme": <NetRateScheme>,
  "priceList": <PriceList>,
  "quote": <Quote>,
  "workflowStep": <WorkflowStep>,
  
  "priority": number,
  "data": {
    "mt": {
      "match0": number,
      "match100": number,
      "match50": number,
      "match75": number,
      "match85": number,
      "match95": number
    },
    "repetitions": number,
    "tm": {
      "match0": number,
      "match100": number,
      "match101": number,
      "match50": number,
      "match75": number,
      "match85": number,
      "match95": number
    },
    "total": number
  }
}

    jobPart 索引

    数据聚合

    "data": {
  "children": {
    "type": "jobPartType"
  }
}

    父文档

    {
  "automationWidget": <AutomationWidget>,
  "project": <Project>,
  "service": <Service>
}

    子文档

    {
  "job": <Job>,
  "jobPart": <JobPart>

  "data": {
    "counts": {
      "chars": {
      "total": number,
      "confirmed": number,
      "notConfirmed": number,
      "locked": number,
      "notLocked": number,
      "confirmedAndLocked": number,
      "notConfirmedAndLocked": number,
      "completed": number,
      "notCompleted": number
    },
    "groups": {
      "total": number
    },
    "segments": {
      "total": number,
      "confirmed": number,
      "notConfirmed": number,
      "locked": number,
      "notLocked": number,
      "confirmedAndLocked": number,
      "notConfirmedAndLocked": number,
      "completed": number,
      "notCompleted": number,
      "mt": {
        "postEdited": number,
        "relevant": number,
        "notRelevant": number
      },
      "qa": {
        "checked": number,
        "notChecked": number
      }
    },
    "words": {
      "total": number,
      "confirmed": number,
      "notConfirmed": number,
      "locked": number,
      "notLocked": number,
      "confirmedAndLocked": number,
      "notConfirmedAndLocked": number,
      "completed": number,
      "notCompleted": number
    },
    "qa": {
      "warnings": number,
      "ignoredWarnings": number,
      "notIgnoredWarnings": number
    }
  }
}

    示例

    • HTTP 请求在 Postman 中运行。

    • 通过项目项目经理或管理员员个人资料文件登录，并使用登录 API 获得登录令牌。

    • 向 API/v3/ Analytics/jobPart?token=<your_login_token>发布请求

    工作总数

    查询

    {
  "aggregations": {
    "data": {
      "children": {
        "type": "jobPartType"
      }
    }
  }
}

    响应

    {
  "hits": {
    "total":359
  },
  "aggregations": {
    "data": {
      "doc_count":14417
    }
  }
}

    在聚合字段下,数据聚合响应了 doc_count 字段中显示的 14,417 个匹配文档。

    原文/源语单词总数

    查询

    {
  "aggregations": {
    "data": {
      "children": {
        "type": "jobPartType"
      },
      "aggs": {
        "wordCount": {
          "sum": {
            "field": "data.volume.words"
          }
        }
      }
    }
  }
}

    响应

    {
  "hits": {
    "total":359
  },
  "aggregations": {
    "data": {
      "doc_count":14417,
      "wordCount": {
        "value":6893067
      }
    }
  }
}

    原文/源语单词数除以译文语言的总数

    查询

    {
  "aggregations": {
    "data": {
      "children": {
        "type": "jobPartType"
      },
      "aggs": {
        "byTargetLanguage": {
          "terms": {
            "field": "job.targetLanguage",
            "size":3
          },
          "aggs": {
            "wordCount": {
              "sum": {
                "field": "data.volume.words"
              }
            }
          }
        }
      }
    }
  }
}

    响应

    {
  "hits": {
    "total":359
  },
  "aggregations": {
    "data": {
      "byTargetLanguage": {
        "doc_count_error_upper_bound":0,
        "sum_other_doc_count":10071,
        "buckets": [
          {
            "doc_count":1835,
            "wordCount": {
              "value":702721
            },
            "key": "cs"
          },
          {
            "doc_count":1491,
            "wordCount": {
              "value":2602529
            },
            "key": "de"
          },
          {
            "doc_count":1020,
            "wordCount": {
              "value":92676
            },
            "key": "fi"
          }
        ]
      },
      "doc_count":14417
    }
  }
}

    存储实体显示在响应中。当要求 Analytics 模块按某个类别拆分数据时，结果将显示为存储的列表。每个存储包含一个定义该存储代表的数据（此处为译文语言）的键和一个仅适用于该部分数据集的值（其他聚合）。

    工作总数除以项目状态

    查询

    {
  "aggregations": {
    "projectStatus": {
      "terms": {
        "field": "project.status"
      },
      "aggs": {
        "data": {
          "children": {
            "type": "jobPartType"
          }
        }
      }
    }
  }
}

    响应

    {
  "hits": {
    "total":359
  },
  "aggregations": {
    "projectStatus": {
      "doc_count_error_upper_bound":0,
      "sum_other_doc_count":0,
      "buckets": [
        {
          "doc_count":326,
          "data": {
            "doc_count":14318
          },
          "key":“新的”
        },
        {
          "doc_count":31,
          "data": {
            "doc_count":89
          },
          "key":“已完成”
        },
        {
          "doc_count":1,
          "data": {
            "doc_count":4
          },
          "key":“已分配”
        },
        {
          "doc_count":1,
          "data": {
            "doc_count":6
          },
          "key":"DECLINED_BY_VENDOR"
        }
      ]
    }
  }
}

    分析模块被告知在数据汇总之前按项目状态拆分数据。

    来自新项目的工作总数

    查询

    {
  "filter": {
    "term": {
      "project.status":“新的”
    }
  },
  "aggregations": {
    "data": {
      "children": {
        "type": "jobPartType"
      }
    }
  }
}

    响应

    {
  "hits": {
    "total":326
  },
  "aggregations": {
    "data": {
      "doc_count":14318
    }
  }
}

    筛选字段用于查询。这缩小了数据的范围，然后再进行汇总。

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