My Hours

My Hours source connector

Description​

Used to read data from My Hours.

Key features​

• batch

• stream

• exactly-once

• column projection

• parallelism

• support user-defined split

Source Options​

Name	Type	Required	Default	Description
url	String	Yes	-	Http request url.
email	String	Yes	-	My hours login email address.
password	String	Yes	-	My hours login password.
schema	Config	No	-	Http and Nexus data structure mapping
schema.fields	Config	No	-	The schema fields of upstream data
json_field	Config	No	-	This parameter helps you configure the schema,so this parameter must be used with schema.
content_json	String	No	-	This parameter can get some json data.If you only need the data in the 'book' section, configure content_field = "$.store.book.*".
format	String	No	json	The format of upstream data, now only support json text, default json.
method	String	No	get	Http request method, only supports GET, POST method.
headers	Map	No	-	Http headers.
params	Map	No	-	Http params.
body	String	No	-	Http body.
poll_interval_millis	Int	No	-	Request http api interval(millis) in stream mode.
retry	Int	No	-	The max retry times if request http return to IOException.
retry_backoff_multiplier_ms	Int	No	100	The retry-backoff times(millis) multiplier if request http failed.
retry_backoff_max_ms	Int	No	10000	The maximum retry-backoff times(millis) if request http failed
enable_multi_lines	Boolean	No	false
common-options		No	-	Source plugin common parameters, please refer to Source Common Options for details

How to Create a My Hours Data Synchronization Jobs​

env {
  parallelism = 1
  job.mode = "BATCH"
}

MyHours{
    url = "https://api2.myhours.com/api/Projects/getAll"
    email = "[e-mail]"
    password = "nexus"
    schema {
       fields {
         name = string
         archived = boolean
         dateArchived = string
         dateCreated = string
         clientName = string
         budgetAlertPercent = string
         budgetType = int
         totalTimeLogged = double
         budgetValue = double
         totalAmount = double
         totalExpense = double
         laborCost = double
         totalCost = double
         billableTimeLogged = double
         totalBillableAmount = double
         billable = boolean
         roundType = int
         roundInterval = int
         budgetSpentPercentage = double
         budgetTarget = int
         budgetPeriodType = string
         budgetSpent = string
         id = string
       }
    }
}

# Console printing of the read data
sink {
  Console {
    parallelism = 1
  }
}

Parameter Interpretation​

format​

when you assign format is json, you should also assign schema option, for example:

upstream data is the following:

{
  "code": 200,
  "data": "get success",
  "success": true
}

you should assign schema as the following:

schema {
  fields {
    code = int
    data = string
    success = boolean
  }
}

connector will generate data as the following:

code	data	success
200	get success	true

when you assign format is text, connector will do nothing for upstream data, for example:

upstream data is the following:

{
  "code": 200,
  "data": "get success",
  "success": true
}

connector will generate data as the following:

content
{"code": 200, "data": "get success", "success": true}

content_json​

This parameter can get some json data.If you only need the data in the 'book' section, configure content_field = "$.store.book.*".

If your return data looks something like this.

{
  "store": {
    "book": [
      {
        "category": "reference",
        "author": "Nigel Rees",
        "title": "Sayings of the Century",
        "price": 8.95
      },
      {
        "category": "fiction",
        "author": "Evelyn Waugh",
        "title": "Sword of Honour",
        "price": 12.99
      }
    ],
    "bicycle": {
      "color": "red",
      "price": 19.95
    }
  },
  "expensive": 10
}

You can configure content_field = "$.store.book.*" and the result returned looks like this:

[
  {
    "category": "reference",
    "author": "Nigel Rees",
    "title": "Sayings of the Century",
    "price": 8.95
  },
  {
    "category": "fiction",
    "author": "Evelyn Waugh",
    "title": "Sword of Honour",
    "price": 12.99
  }
]

Then you can get the desired result with a simpler schema,like

Http {
  url = "http://mockserver:1080/contentjson/mock"
  method = "GET"
  format = "json"
  content_field = "$.store.book.*"
  schema = {
    fields {
      category = string
      author = string
      title = string
      price = string
    }
  }
}

Here is an example:

• Test data can be found at this link mockserver-config.json
• See this link for task configuration http_contentjson_to_assert.conf.

json_field​

This parameter helps you configure the schema,so this parameter must be used with schema.

If your data looks something like this:

{ 
  "store": {
    "book": [
      {
        "category": "reference",
        "author": "Nigel Rees",
        "title": "Sayings of the Century",
        "price": 8.95
      },
      {
        "category": "fiction",
        "author": "Evelyn Waugh",
        "title": "Sword of Honour",
        "price": 12.99
      }
    ],
    "bicycle": {
      "color": "red",
      "price": 19.95
    }
  },
  "expensive": 10
}

You can get the contents of 'book' by configuring the task as follows:

source {
  Http {
    url = "http://mockserver:1080/jsonpath/mock"
    method = "GET"
    format = "json"
    json_field = {
      category = "$.store.book[*].category"
      author = "$.store.book[*].author"
      title = "$.store.book[*].title"
      price = "$.store.book[*].price"
    }
    schema = {
      fields {
        category = string
        author = string
        title = string
        price = string
      }
    }
  }
}

• Test data can be found at this link mockserver-config.json
• See this link for task configuration http_jsonpath_to_assert.conf.