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Add/Replace and Get timesheet data via developer API


This guide explains how to add, replace, or get timesheet data via API.




Before starting this tutorial make sure you have completed the Hello World tutorial.

To complete the Hello World tutorial click here  Hello World




Adding and replacing timesheet data

The add/replace feature is built into a single action.

After a shift is added to Microkeeper, changes to that shift can be made as expected, however, the third party app is considered the point of truth.

Microkeeper records the method used when clocking on and off. For example fingerprint, NFC, etc.

When timesheet data is added via API the method is set to API.

Duplicate detection

If a shift is added to Microkeeper via API, duplicate detection takes places.

If a shift overlaps another shift, the original shift will be permanently deleted along with any change made to that shift within Microkeeper. 

Only shifts added via API undergo duplicate detection by default, which is recommended.

Example

A shift from 10:00 to 12:00 is added via API.

The shift is then edited in a third party app to 10:00 to 13:00.

If the same data is sent again the new entry will overlap the last entry, the original entry will be permanently deleted and the new record will take its place.




Step 1

Set the mk_action variable and mk_data variable.

Variable nameValues and Example
mk_action

add_timesheet

mk_data

{ "config": {"replace":"overlap", "method":"613"} ,"shifts":[{"EID":"3","date":"2018-05-22", "clockon":"6:15:00", "clockoff":"10:00", "JID":"2206", "note":"I\'m running = late%26quot;!"},{"eusername":"joel_davis","date":"2018-05-21", "clockon":"10:00:00", "clockoff":"16:00:00"}] }




Step 2

List of available fields

The minimum fields required to add timesheet data are:

Below is a full list of variables that can be added to mk_data when adding timesheet data.

NameClassificationNote
shiftsListList of all the shifts being added to Microkeeper
configObjectConfig options when adding shifts


'Config' variables

Variable name

Description

Required

Excepted formats

Options

replace

How Microkeeper will determine how to replace a shift

False

Alphanumeric

overlap (default)
For shifts that overlap, the incoming shift will replace the existing shifts. The analysis is done by date, by employee and by shift.

For example, the shift from 10:00 to 13:00 replaces shift 10:00 to 12:00

date
All shifts from an incoming date replace any existing shifts from that date.

For example shift 10:00 to 12:00 replaces shift 14:00 to 16:00, even though they don't overlap.

date_range
A range of dates to replace data for. This will delete all current data and replace it with incoming data for the date range set.
replace_start and replace_end must be set.

none
When a shift is not replaced but added, this will result in duplicates if the same data is sent twice.

methodWhat type of shifts are being replacedFalseAlphanumeric613 (default)
Only shifts that are created by API are replaced.

all
 Can be used to replace all shifts regardless of the method of clocking. This option is not recommended but might be required if changing between clocking systems.
replace_startReplace start dateTrue if replace is set to date_rangeDate YYYY-MM-DDThe start date of the date range to be deleted.
replace_endReplace end dateTrue if replace is set to date_rangeDate YYYY-MM-DDThe end date of the date range to be deleted.


replace set to date_range is the recommended option for a replication model when sending bulk volumes of shifts.

If a shift is deleted from the third party system or the times significantly altered this option offers a full replacement each time.


'Shifts' variables

Variable name

Description

Required

Excepted formats

Example

EID

Microkeeper Employee ID

TRUE (1)

Numeric

1234

eusername

Employee username

TRUE (1)

Alphanumeric

john_smith

EmployeeID

3rd Party Employee IDTRUE (1)

Alphanumeric

emp001

(1) One of the following is required: EID, eusername, EmployeeID

date

Date of shift

TRUE

Date YYYY-MM-DD

2018-05-18

clockon

Clock on time

TRUE

Time HH:MM:SS, HH:MM

06:15

clockoff

Clock off time

TRUE

Time HH:MM:SS, HH:MM

14:30

LID
Location ID in Microkeeper

OptionalNumeric2233
ROID
Role ID in Microkeeper

OptionalNumeric5566

JID

Job ID in Microkeeper 

Jobs > Jobs

Mouseover ID

OR

Third Party ID

Optional

Numeric for Microkeeper

OR

Third party ID

4565

OR

ABC123

job_titleJob TitleOptional, but required to add a new Job

Alphanumeric

ABC123

note

Note attached to shift

Optional

Alphanumeric

JSON and URI can cause issues with apostrophe quotes and amps make sure to test.

" = %26quot;

& = %26

' = should be fine might require escaping

I'm running "late &

I'm running %26quot;late %26

BreakIDList of Microkeeper Break ID numbersOptionalNumeric714,713
break_durationDuration in minutesOptionalInteger30


BreakID

When a Break Rule is created in Microkeeper it is assigned a unique ID number. Those numbers can be sent via API when adding timesheet data.

To get your BreakID numbers go to:

Settings > Payroll Rules > Break Rules

Mouseover the ID number and a BreakID will be displayed.


break_duration

If a break duration is sent through this will be used to find a Break Rule in Microkeeper that matches the duration.

Example if 30 minutes is sent through, a 30 minute Selectable Break Rule will be applied.


Microkeeper Job ID (JID)

When Jobs are added to Microkeeper they are assigned a unique ID number. A JID can be send via API when adding timesheet data.

To get Job ID numbers go to:

Menu > Jobs > Jobs

Mouseover the ID number and a JID will be displayed.


Third Party Job ID (JID)

A Third Party Job ID can be sent instead of the Microkeeper JID, this will be used to lookup the Microkeeper JID for recording.

If the Third Party Job ID is not present, a new Microkeeper Job can be created on the fly, the job_title field must be set to do this.





Step 3

Response

The response will be in JSON and in the format outlined in the Hello World example.

When timesheet data is successfully added to Microkeeper a successful message will be returned.

The message could be displayed to the user as a confirmation.

The variables added and replaced are returned.

added could be used for validation. For example; sent 15 shifts, 15 shifts added, thus validation passed.

replaced is an indicator. For example, if 8 shifts were added then 10 shifts were added the next time, replaced would be set to 8, thus making sense to the user.


Successful example

{ "success":"1", "authenticated":"1", "message":"15 shifts added replacing 13 shifts", "data": {"added":15,"replaced":13} }


Notes and limitations

If a shift is deleted from the third party system, then it will not be automatically deleted in Microkeeper, thus if the data has already been pushed through, it might have to be manually deleted in Microkeeper if replace is not set to date_range.

All incoming shifts will automatically be approved, but "who_approved" the shift will not be recorded.


API timesheet performance


EventX = 100X = 1,000X = 10,000
Adding X shifts0.51.23.2
Replacing X shifts0.61.44.8
Get X shifts  (including graphics render)0.52.311.5

Delete 10,000 shifts 2.7 seconds

Time in seconds





Retrieving timesheet data

Microkeeper timesheet data can be exported from Microkeeper via API

All timesheet data will be included via the data range supplied.

Up to 31 days of data can be exported in a single request.




Step 1

Set the mk_action variable and mk_data variable.

Variable nameValues and Example
mk_action

get_timesheet

mk_data

{ "start_date":"2018-05-21", "end_date":"2018-05-21", "EID":"3,4,5" }




Step 2

List of available fields

The minimum fields required to get timesheet data are:

Below is a full list of variables that can be used to filter the results.

A list of staff can be returned by including the eusername of EID.


Variable name

Description

Required

Excepted formats

Example

start_date

Start of the date range

TRUE

Date YYYY-MM-DD

2018-05-18

end_date

End of the date range

TRUE

Date YYYY-MM-DD

2018-05-23

eusername

Employee username

Optional

Alphanumeric separated by commas

john_smith1,john_smith2

EID

Employee ID

Optional

Numeric separated by commas

1234,1235,1236




Step 3

Response

Field nameExplanationExample
TSIDThe Timesheet ID as recorded by Microkeeper - Unique for every record11235321
eusernameEmployee usernamejohn_smith
EIDEmployee ID1234
dateDate YYYY-MM-DD2018-05-18
clockonClock on time HH:MM:SS09:00:00
clockoffClock off time HH:MM:SS
If a shift goes past midnight it will start back to 00:00
17:00:00
original_on
original_off
The original clock on and off time before manager might have made changes09:00:00
mod_on
mod_off
eusername of who changed the clock on or clock off timejohn_smith
LIDLocation ID integer 3322
ROIDRole ID integer 8866
JIDJob ID integer2231
noteA note left by manager or employee - Alphanumeric special charactersHello World
break_minBreak duration in minutes. Break rules are calculated and if applicable are summed up and totaled60
paid_hoursHours that will go through to payroll clock off-clock on-breaks7.6
method_on
method_off
605 = GPS
606 = Fingerprint
607 = Manually entered by manager/employee
608 = Generated from roster
609 = Quick clock
610 = Employee console used
611 = NFC used
612 = Phone used
613 = Entered via API
614 = Facial Recognition
Blank = not clocked off
String, usually numeric
613
lon_on
lon_off
If GPS, the clock on and off Longitude144.52562
lat_on
lat_off
If GPS, the clock on and off Latitude-38.21302
acc_on
acc_off
If GPS, the accuracy of GPS in meters when clocking on and off63
approved0 = Not approved
1 = Approved
2 = Declined
There are two methods of approving shifts in Microkeeper.
This is used for tick approval only
1
who_approvedUsername of who approvedjohn_smith


Notes and limitations

All shifts will be included regardless of their approval status.

Deleted shifts will not be included in the export even though they are still present.

Break analysis is only on an individual shift.

For example; shift 10:00 to 12:00 and shift 12:00 to 15:00. In Microkeeper payroll this is treated as a 5 hours shift for break analysis but in API export this is treated as two separate shifts thus some break rules won't apply.

If clockoff is set to 00:00:00 the employee clocked off at midnight.

If clockoff and original_off are set to 'blank' the employee has not clocked off, break_min and paid_hours will be set to 0.


Successful Example

The example below includes a single record from a search from a single date for a single employee.

{ "success":"1", "authenticated":"1", "message":"Timesheet data", "data": { "timesheet": [{"TSID":"1631504","eusername":"joel_davis","EID":"3","date":"2018-05-21","clockon":"10:00:00","clockoff":"16:00:00","original_on":"10:00:00","original_off":"16:00:00","mod_on":"","mod_off":"","LID":"0","ROID":"0" ,"JID":"0" ,"note":"","break_min":60,"paid_hours":5,"method_on":"613","method_off":"613","approved":"2","who_approved":"joel_davis"}] } }

Same Example Readable

{
   "success":"1",
   "authenticated":"1",
   "message":"Timesheet data",
   "data":{
      "timesheet":[
         {
            "TSID":"1631504",
            "eusername":"joel_davis",
            "EID":"3",
            "date":"2018-05-21",
            "clockon":"10:00:00",
            "clockoff":"16:00:00",
            "original_on":"10:00:00",
            "original_off":"16:00:00",
            "mod_on":"",
            "mod_off":"",
            "LID":"0",
            "ROID":"0",
            "JID":"0",
            "note":"",
            "break_min":60,
            "paid_hours":5,
            "method_on":"613",
            "method_off":"613",
            "approved":"2",
            "who_approved":"joel_davis"
         }
      ]
   }
}