How can i get the _ValidFrom field of Previous record when using lookback API - rally

I'm performing the following lookback snapshot. I got the data back but i also need the ValidFrom Date of the Completed record. It's not a part of the _PreviousValues record. How can i get that to come back with my query?
Thanks!
find: {
'_TypeHierarchy': 'HierarchicalRequirement',
'Children':null,'ScheduleState':'Accepted',
'_PreviousValues.ScheduleState':'Completed',
'_ValidFrom': { '$gte':startDate},
'_ValidTo': { '$lte': endDate},
},
fetch: ['FormattedID','Name','_ValidFrom','_ValidTo','BlockedReason','_User','WorkProduct','ScheduleState','_PreviousValues.ScheduleState','AcceptedDate'],
// order: 'OpenedDate DESC',
hydrate: ['FormattedID','Name','_ValidFrom','_ValidTo','BlockedReason','_User','WorkProduct','ScheduleState','_PreviousValues.ScheduleState','AcceptedDate'],
compress: true,

It looks like what we need is something like _PreviousValues.ScheduleState._ValidFrom, but it does not exist.
I think it is not possible to get _ValidFrom value of the _PreviousValues.ScheduleState from the same query, and a separate query is needed.
For example, this query:
https://rally1.rallydev.com/analytics/v2.0/service/rally/workspace/1234/artifact/snapshot/query.js?find={"Project":5678,"_TypeHierarchy":"HierarchicalRequirement","ScheduleState":"Accepted", "_PreviousValues.ScheduleState": "Completed"}&fields=["ObjectID","_ValidFrom","_ValidTo","ScheduleState","_PreviousValues.ScheduleState"]&hydrate=["ScheduleState","_PreviousValues.ScheduleState"]&compress=true
will return _PreviousValues object which only includes state value:
_PreviousValues: {
ScheduleState: "Completed"
}
Let's say one of the results has ObjectID 777.
The second query will use ObjectID(s) of the results of the first query to get the time interval when the story was in the "Completed" state:
https://rally1.rallydev.com/analytics/v2.0/service/rally/workspace/1234/artifact/snapshot/query.js?find={"ObjectID":777,"ScheduleState": "Completed","_PreviousValues.ScheduleState": "In-Progress"}&fields=["ObjectID","_ValidFrom","_ValidTo","ScheduleState"]&hydrate=["ScheduleState"]
It may return more than one snapshot, and depending on what fields are fetched there may not be an indication what changed between those snapshots (e.g. in this case TaskStatus and TaskRemainingTotal) but in any case the earliest snapshot's _ValidFrom value, _ValidFrom: "2013-06-17T18:51:36.931Z" is the date you are looking for
Results:
[
{
_ValidFrom: "2013-06-17T18:51:36.931Z",
_ValidTo: "2013-06-17T18:51:44.382Z",
ObjectID: 12353154323,
ScheduleState: "Completed"
},
{
_ValidFrom: "2013-06-17T18:55:50.897Z",
_ValidTo: "2013-06-18T20:53:01.755Z",
ObjectID: 12353154323,
ScheduleState: "Completed"
}
]
If you are writing a code, you will get the _ValidFrom of the first element of the array of objects.

Related

Is there a way to use the graphLookup aggregation pipeline stage for arrays?

I am currently working on an application that uses MongoDB as the data repository. I am mainly concerned about the graphLookup query to establish links between different people, based on what flights they took. My document contains an array field, that in turn contains key value pairs. I need to establish the links based on one of the key:value pairs of that array.
I have already tried some queries of aggregation pipeline with $graphLookup as one of the stages and they have all worked fine. But now that I am trying to use it with an array, I am hitting a blank.
Below is the array field from the first document :
"movementSegments":[
{
"carrierCode":"MO269",
"departureDateTimeMillis":1550932676000,
"arrivalDateTimeMillis":1551019076000,
"departurePort":"DOH",
"arrivalPort":"LHR",
"departurePortText":"HAMAD INTERNATIONAL AIRPORT",
"arrivalPortText":"LONDON HEATHROW",
"serviceNameText":"",
"serviceKey":"BA007_1550932676000",
"departurePortLatLong":"25.273056,51.608056",
"arrivalPortLatLong":"51.4706,-0.461941",
"departureWeeklyTemporalSpatialWindow":"DOH_8",
"departureMonthlyTemporalSpatialWindow":"DOH_2",
"arrivalWeeklyTemporalSpatialWindow":"LHR_8",
"arrivalMonthlyTemporalSpatialWindow":"LHR_2"
}
]
The other document has the below field :
"movementSegments":[
{
"carrierCode":"MO269",
"departureDateTimeMillis":1548254276000,
"arrivalDateTimeMillis":1548340676000,
"departurePort":"DOH",
"arrivalPort":"LHR",
"departurePortText":"HAMAD INTERNATIONAL AIRPORT",
"arrivalPortText":"LONDON HEATHROW",
"serviceNameText":"",
"serviceKey":"BA003_1548254276000",
"departurePortLatLong":"25.273056,51.608056",
"arrivalPortLatLong":"51.4706,-0.461941",
"departureWeeklyTemporalSpatialWindow":"DOH_4",
"departureMonthlyTemporalSpatialWindow":"DOH_1",
"arrivalWeeklyTemporalSpatialWindow":"LHR_4",
"arrivalMonthlyTemporalSpatialWindow":"LHR_1"
},
{
"carrierCode":"MO270",
"departureDateTimeMillis":1548254276000,
"arrivalDateTimeMillis":1548340676000,
"departurePort":"DOH",
"arrivalPort":"LHR",
"departurePortText":"HAMAD INTERNATIONAL AIRPORT",
"arrivalPortText":"LONDON HEATHROW",
"serviceNameText":"",
"serviceKey":"BA003_1548254276000",
"departurePortLatLong":"25.273056,51.608056",
"arrivalPortLatLong":"51.4706,-0.461941",
"departureWeeklyTemporalSpatialWindow":"DOH_4",
"departureMonthlyTemporalSpatialWindow":"DOH_1",
"arrivalWeeklyTemporalSpatialWindow":"LHR_4",
"arrivalMonthlyTemporalSpatialWindow":"LHR_1"
}
]
And I am running the below query :
db.person_events.aggregate([
{ $match: { eventId: "22446688" } },
{
$graphLookup: {
from: 'person_events',
startWith: '$movementSegments.carrierCode',
connectFromField: 'carrierCode',
connectToField: 'carrierCode',
as: 'carrier_connections'
}
}
])
The above query creates an array field in the document, but there are no values in it. As per the expectation, both my documents should get linked based on the carrier number.
Just to be clear about the query, the documents contain an eventId field, and the match pipeline returns one document to me after the match stage.
Well, I don't know how I missed it, but here is the solution to my problem which gives me the required results :
db.person_events.aggregate([
{ $match: { eventId: "22446688" } },
{
$graphLookup: {
from: 'person_events',
startWith: '$movementSegments.carrierCode',
connectFromField: 'movementSegments.carrierCode',
connectToField: 'movementSegments.carrierCode',
as: 'carrier_connections'
}
}
])

Lookback api: duplicate snapshots are being returned even though compress is set to true

I have a request with this find:
"find": {
"Project": 123,
"_TypeHierarchy": "HierarchicalRequirement",
"fields": ["FormattedID","ScheduleState"],
"hydrate": "ScheduleState",
"compress": true
}
and it returns duplicate snapshots, for example:
Results:
[
{
ScheduleState: "Defined",
FormattedID: "US3000"
},
{
ScheduleState: "Defined",
FormattedID: "US3000"
},
{
ScheduleState: "Defined",
FormattedID: "US3000"
},
Also tried this endpoint:
https://rally1.rallydev.com/analytics/v2.0/service/rally/workspace/100/artifact/snapshot/query.js?find={"Project":123,"_TypeHierarchy":"HierarchicalRequirement"}&fields=["FormattedID","ScheduleState"]&hydrate=["ScheduleState"]&compress=true
same duplicates are returned.
Should "compress" option reduce the number of snapshots returned by queries based on changes in the values of the fields that are selected? There were no changes in ScheduleState, as duplicate snapshots show the same "Defined" State. There were other changes to this story US3000, PlanEstimate was changed, but it is not being fetched to affect. Is there a problem with my syntax?
To make compress work, you must include _ValidFrom, _ValidTo, and ObjectID in the list of requested fields. Give that a try.

Rally Lookback: help fetching all history based on future state

Probably a lookback newbie question, but how do I return all of the history for stories based on an attribute that gets set later in their history?
Specifically, I want to load all of the history for all stories/defects in my project that have an accepted date in the last two weeks.
The following query (below) doesn't work because it (of course) only returns those history records where accepted date matches the query. What I actually want is all of the history records for any defect/story that is eventually accepted after that date...
filters :
[
{
property: "_TypeHierarchy",
value: { $nin: [ -51009, -51012, -51031, -51078 ] }
},
{
property: "_ProjectHierarchy",
value: this.getContext().getProject().ObjectID
},
{
property: "AcceptedDate",
value: { $gt: Ext.Date.format(twoWeeksBack, 'Y-m-d') }
}
]
Thanks to Nick's help, I divided this into two queries. The first grabs the final history record for stories/defects with an accepted date. I accumulate the object ids from that list, then kick off the second query, which finds the entire history for each object returned from the first query.
Note that I'm caching some variables in the "window" scope - that's my lame workaround to the fact that I can't ever quite figure out the context of "this" when I need it...
window.projectId = this.getContext().getProject().ObjectID;
I also end up flushing window.objectIds (where I store the results from the first query) when I exec the query, so I don't accumulate results across reloads. I'm sure there's a better way to do this, but I struggle with scope in javascript.
filter for first query
filters : [ {
property : "_TypeHierarchy",
value : {
$nin : [ -51009, -51012, -51031, -51078 ]
}
}, {
property : "_ProjectHierarchy",
value : window.projectId
}, {
property : "AcceptedDate",
value : {
$gt : Ext.Date.format(monthBack, 'Y-m-d')
}
}, {
property : "_ValidTo",
value : {
$gt : '3000-01-01'
}
} ]
Filter for second query:
filters : [ {
property : "_TypeHierarchy",
value : {
$nin : [ -51009, -51012, -51031, -51078 ]
}
}, {
property : "_ProjectHierarchy",
value : window.projectId
}, {
property : "ObjectID",
value : {
$in : window.objectIds
}
}, {
property : "c_Kanban",
value : {
$exists : true
}
} ]
Here's an alternative query that will return only the snapshots that represent transition into the Accepted state.
find:{
_TypeHierarchy: { $in : [ -51038, -51006 ] },
_ProjectHierarchy: 999999,
ScheduleState: { $gte: "Accepted" },
"_PreviousValues.ScheduleState": {$lt: "Accepted", $exists: true},
AcceptedDate: { $gte: "2014-02-01TZ" }
}
A second query is still required if you need the full history of the stories/defects. This should at least give you a cleaner initial list. Also note that Project: 999999 limits to the given project, while _ProjectHierarchy finds stories/defects in the child projects, as well.
In case you are interested, the query is similar to scenario #5 in the Lookback API documentation at https://rally1.rallydev.com/analytics/doc/.
If I understand the question, you want to get stories that are currently accepted, but you want that the returned results include snapshots from the time when they were not accepted. Before you write code, you may test an equivalent query in the browser and see if the results look as expected.
Here is an example - you will have to change OIDs.
https://rally1.rallydev.com/analytics/v2.0/service/rally/workspace/12352608129/artifact/snapshot/query.js?find={"_ProjectHierarchy":12352608219,"_TypeHierarchy":"HierarchicalRequirement","ScheduleState":"Accepted",_ValidFrom:{$gte: "2013-11-01",$lt: "2014-01-01"}}},sort:[{"ObjectID": 1},{_ValidFrom: 1}]&fields=["Name","ScheduleState","PlanEstimate"]&hydrate=["ScheduleState"]
You are correct that a query like this: find={"AcceptedDate":{$gt:"2014-01-01T00:00:00.000Z"}}
will return one snapshot per story that satisfies it.
https://rally1.rallydev.com/analytics/v2.0/service/rally/workspace/12352608129/artifact/snapshot/query.js?find={"AcceptedDate":{$gt:"2014-01-01T00:00:00.000Z"}}&fields=true&start=0&pagesize=1000
but a query like this: find={"ObjectID":{$in:[16483705391,16437964257,14943067452]}}
will return the whole history of the 3 artifacts:
https://rally1.rallydev.com/analytics/v2.0/service/rally/workspace/12352608129/artifact/snapshot/query.js?find={"ObjectID":{$in:[16483705391,16437964257,14943067452]}}&fields=true&start=0&pagesize=1000
To illustrate, here are some numbers: the last query returns 17 results for me. I check each story's revision history, and the number of revisions per story are 5, 5, 7 respectively, sum of which is equal to the total result count returned by the query.
On the other hand the number of stories that meet find={"AcceptedDate":{$gt:"2014-01-01T00:00:00.000Z"}} is 13. And the query based on the accepted date returns 13 results, one snapshot per story.

MongoDB: How retrieve data that is newly constructed instead of original documents in the collection?

I have a collection in which documents are all in this format:
{"user_id": ObjectId, "book_id": ObjectId}
It represents the relationship between user and book, which is also one-to-many, that means, a user can have more than one books.
Now I got three book_id, for example:
["507f191e810c19729de860ea", "507f191e810c19729de345ez", "507f191e810c19729de860efr"]
I want to query out the users who have these three books, because the result I want is not the document in this collection, but a newly constructed array of user_id, it seems complicated and I have no idea about how to make the query, please help me.
NOTE:
The reason why I didn't use the structure like:
{"user_id": ObjectId, "book_ids": [ObjectId, ...]}
is because in my system, books increase frequently and have no limit in amount, in other words, user may read thousands of books, so I think it's better to use the traditional way to store it.
This question is not restricted by MongoDB, you can answer it in relational database thoughts.
Using a regular find you cannot get back all user_id fields who own all the book_id's because you normalized your collection (flattened it).
You can do it, if you use aggregation framework:
db.collection.aggregate([
{
$match: {
book_id: {
$in: ["507f191e810c19729de860ea",
"507f191e810c19729de345ez",
"507f191e810c19729de860efr" ]
}
}
},
{
$group: {
_id: "$user_id",
count: { $sum: 1 }
}
},
{
$match: {
count: 3
}
},
{
$group: {
_id: null,
users: { $addToSet: "$_id" }
}
}
]);
What this does is filters through the pipeline only for documents which match one of the three book_id values, then it groups by user_id and counts how many matches that user got. If they got three they pass to the next pipeline operation which groups them into an array of user_ids. This solution assumes that each 'user_id,book_id' record can only appear once in the original collection.

How to filter by sub-object in Rally 2 SDK

I'm trying to query for user stories whose release start date is greater than a particular date. Is it possible to do this using the "filters" config rather than querying all stories and then checking manually?
Is this valid? :
Ext.create('Rally.data.WsapiDataStore', {
model: 'UserStory',
context: {
project: '/project/xxxx'
},
autoLoad: true,
fetch: ['Rank', 'FormattedID', 'Release'],
filters: [
{
property: 'Release.ReleaseStartDate',
operator: '>',
value: '2012-10-10'
}
]
});
It doesn't work, just fetches all records.
The code posted above does work. I was actually using a comboBox value in the "value" property. Turns out I didn't convert it to a proper DateTime format and hence the comparison was failing and returning all records.
In my case I had to use Rally.util.DateTime.toIsoString in order to compare the value in the combobox.