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Add test case for update AssessmentRegistry
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@sauravsapkota
sauravsapkota committed Aug 1, 2024
1 parent 5f1d955 commit 6b48cc7
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Showing 2 changed files with 296 additions and 1 deletion.
2 changes: 1 addition & 1 deletion apps/assessment_registry/mutation.py
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Original file line number Diff line number Diff line change
Expand Up @@ -57,7 +57,7 @@ class Arguments:
class UpdateAssessmentRegistry(AssessmentRegsitryMutationMixin, PsGrapheneMutation):
class Arguments:
data = AssessmentRegistryCreateInputType(required=True)
id = graphene.ID(required=False)
id = graphene.ID(required=True)

result = graphene.Field(AssessmentRegistryType)
serializer_class = AssessmentRegistrySerializer
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295 changes: 295 additions & 0 deletions apps/assessment_registry/tests/test_mutation.py
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Original file line number Diff line number Diff line change
Expand Up @@ -123,12 +123,121 @@ class TestAssessmentRegistryMutation(GraphQLTestCase):
}
}
'''
UPDATE_ASSESSMENT_REGISTRY_QUERY = '''
mutation MyMutation ($projectId: ID!, $input: AssessmentRegistryCreateInputType!, $assessmentRegistryId: ID!) {
project(id:$projectId) {
updateAssessmentRegistry(data: $input, id: $assessmentRegistryId) {
ok
errors
result {
id
affectedGroups
bgPreparedness
bgCountries {
id
}
bgCrisisStartDate
bgCrisisType
confidentiality
confidentialityDisplay
coordinatedJoint
coordinatedJointDisplay
costEstimatesUsd
createdAt
dataCollectionEndDate
dataCollectionStartDate
dataCollectionTechniques
detailsType
detailsTypeDisplay
externalSupport
externalSupportDisplay
family
familyDisplay
metadataComplete
focuses
frequency
frequencyDisplay
language
limitations
modifiedAt
noOfPages
objectives
protectionInfoMgmts
protectionRisks
publicationDate
sampling
sectors
status
focusComplete
lead {
id
}
methodologyAttributes {
unitOfReportingDisplay
unitOfReporting
unitOfAnalysis
unitOfAnalysisDisplay
samplingApproach
samplingAppraochDisplay
proximity
proximityDisplay
id
dataCollectionTechniqueDisplay
dataCollectionTechnique
}
methodologyComplete
additionalDocuments {
documentType
documentTypeDisplay
externalLink
id
file {
id
mimeType
metadata
}
}
additionalDocumentComplete
cna {
answer
id
question {
id
question
sector
subSector
sectorDisplay
subSectorDisplay
}
}
cnaComplete
summaryDimensionMeta {
id
percentageInNeed
}
summarySubDimensionIssue {
id
}
summaryPillarMeta {
id
totalPeopleAssessed
}
summarySubPillarIssue {
id
}
summaryComplete
}
}
}
}
'''

def setUp(self):
super().setUp()
self.member_user = UserFactory.create()
self.project1 = ProjectFactory.create()
self.lead1 = LeadFactory.create(project=self.project1)
self.lead2 = LeadFactory.create(project=self.project1)
self.organization1 = OrganizationFactory.create()
self.organization2 = OrganizationFactory.create()
self.region = RegionFactory.create()
Expand Down Expand Up @@ -296,3 +405,189 @@ def _query_check(minput, **kwargs):
self.assertIsNotNone(data['summarySubDimensionIssue'])
self.assertEqual(data['metadataComplete'], True)
self.assertIsNotNone(data['protectionRisks'])

def test_update_assessment_registry(self):
def _query_check(mutation, minput, variables, **kwargs):
return self.query_check(
mutation,
minput=minput,
variables=variables,
**kwargs
)

minput = dict(
bgCrisisStartDate="2023-01-01",
bgCrisisType=self.genum(AssessmentRegistry.CrisisType.EARTH_QUAKE),
bgPreparedness=self.genum(AssessmentRegistry.PreparednessType.WITH_PREPAREDNESS),
confidentiality=self.genum(AssessmentRegistry.ConfidentialityType.UNPROTECTED),
coordinatedJoint=self.genum(AssessmentRegistry.CoordinationType.COORDINATED),
costEstimatesUsd=10,
status=self.genum(AssessmentRegistry.StatusType.PLANNED),
detailsType=self.genum(AssessmentRegistry.Type.INITIAL),
externalSupport=self.genum(AssessmentRegistry.ExternalSupportType.EXTERNAL_SUPPORT_RECIEVED),
family=self.genum(AssessmentRegistry.FamilyType.DISPLACEMENT_TRAKING_MATRIX),
focuses=[
self.genum(AssessmentRegistry.FocusType.CONTEXT),
self.genum(AssessmentRegistry.FocusType.HUMANITERIAN_ACCESS),
self.genum(AssessmentRegistry.FocusType.DISPLACEMENT)
],
frequency=self.genum(AssessmentRegistry.FrequencyType.ONE_OFF),
protectionInfoMgmts=[
self.genum(AssessmentRegistry.ProtectionInfoType.PROTECTION_MONITORING),
self.genum(AssessmentRegistry.ProtectionInfoType.PROTECTION_NEEDS_ASSESSMENT)
],
protectionRisks=[
self.genum(AssessmentRegistry.ProtectionRiskType.ABDUCATION_KIDNAPPING),
self.genum(AssessmentRegistry.ProtectionRiskType.ATTACKS_ON_CIVILIANS)
],
sectors=[
self.genum(AssessmentRegistry.SectorType.HEALTH),
self.genum(AssessmentRegistry.SectorType.SHELTER),
self.genum(AssessmentRegistry.SectorType.WASH)
],
lead=self.lead1.id,
locations=[self.geo_area1.id, self.geo_area2.id],
dataCollectionEndDate="2023-01-01",
dataCollectionStartDate="2023-01-01",
dataCollectionTechniques="Test Data",
limitations="test",
objectives="test",
noOfPages=10,
publicationDate="2023-01-01",
sampling="test",
language=[
self.genum(AssessmentRegistry.Language.ENGLISH),
self.genum(AssessmentRegistry.Language.SPANISH)
],
bgCountries=[self.region.id],
affectedGroups=[self.genum(AssessmentRegistry.AffectedGroupType.ALL_AFFECTED)],
metadataComplete=True,
additionalDocumentComplete=True,
focusComplete=True,
methodologyComplete=True,
methodologyAttributes=[
dict(
dataCollectionTechnique=self.genum(MethodologyAttribute.CollectionTechniqueType.SECONDARY_DATA_REVIEW),
proximity=self.genum(MethodologyAttribute.ProximityType.FACE_TO_FACE),
samplingApproach=self.genum(MethodologyAttribute.SamplingApproachType.NON_RANDOM_SELECTION),
samplingSize=10,
unitOfAnalysis=self.genum(MethodologyAttribute.UnitOfAnalysisType.CRISIS),
unitOfReporting=self.genum(MethodologyAttribute.UnitOfReportingType.CRISIS)
),
],
additionalDocuments=[
dict(
documentType=self.genum(AdditionalDocument.DocumentType.ASSESSMENT_DATABASE),
externalLink="",
file=str(self.file.id)
),
],
scoreRatings=[
dict(
scoreType=self.genum(ScoreRating.ScoreCriteria.ASSUMPTIONS),
rating=self.genum(ScoreRating.RatingType.VERY_POOR),
reason="test"
),
dict(
scoreType=self.genum(ScoreRating.ScoreCriteria.RELEVANCE),
rating=self.genum(ScoreRating.RatingType.VERY_POOR),
reason="test"
)
],
scoreAnalyticalDensity=[
dict(
sector=self.genum(AssessmentRegistry.SectorType.FOOD_SECURITY),
analysisLevelCovered=[
self.genum(ScoreAnalyticalDensity.AnalysisLevelCovered.ISSUE_UNMET_NEEDS_ARE_DETAILED),
self.genum(ScoreAnalyticalDensity.AnalysisLevelCovered.ISSUE_UNMET_NEEDS_ARE_PRIORITIZED_RANKED),
],
figureProvided=[
self.genum(ScoreAnalyticalDensity.FigureProvidedByAssessment.TOTAL_POP_IN_THE_ASSESSED_AREAS),
],
score=1,
),
dict(
sector=self.genum(AssessmentRegistry.SectorType.SHELTER),
analysisLevelCovered=[],
score=2
)
],
cna=[
dict(
answer=True,
question=self.question1.id,
)
],
summaryPillarMeta=dict(
totalPeopleAssessed=1000
),
summarySubPillarIssue=[
dict(
summaryIssue=self.summary_issue1.id,
order=1,
)
],
summaryDimensionMeta=[
dict(
percentageInNeed=10,
sector=self.genum(AssessmentRegistry.SectorType.FOOD_SECURITY),
),
dict(
percentageInNeed=10,
sector=self.genum(AssessmentRegistry.SectorType.SHELTER),
),
],
summarySubDimensionIssue=[
dict(
summaryIssue=self.summary_issue2.id,
sector=self.genum(AssessmentRegistry.SectorType.FOOD_SECURITY),
order=1,
)
]
)
update_minput = dict(
bgCrisisType=self.genum(AssessmentRegistry.CrisisType.LANDSLIDE),
bgPreparedness=self.genum(AssessmentRegistry.PreparednessType.WITHOUT_PREPAREDNESS),
confidentiality=self.genum(AssessmentRegistry.ConfidentialityType.CONFIDENTIAL),
coordinatedJoint=self.genum(AssessmentRegistry.CoordinationType.HARMONIZED),
status=self.genum(AssessmentRegistry.StatusType.ONGOING),
detailsType=self.genum(AssessmentRegistry.Type.MONITORING),
externalSupport=self.genum(AssessmentRegistry.ExternalSupportType.NO_EXTERNAL_SUPPORT_RECEIVED),
family=self.genum(AssessmentRegistry.FamilyType.HUMANITARIAN_NEEDS_OVERVIEW),
frequency=self.genum(AssessmentRegistry.FrequencyType.REGULAR),
lead=self.lead2.id,
language=[
self.genum(AssessmentRegistry.Language.ENGLISH),
self.genum(AssessmentRegistry.Language.FRENCH)
],
bgCountries=[self.region.id],
)
self.force_login(self.member_user)
content = _query_check(
self.CREATE_ASSESSMENT_REGISTRY_QUERY,
minput,
variables={'projectId': self.project1.id},
okay=False
)
assessment_registry_id = content['data']['project']['createAssessmentRegistry']['result']['id']
self.assertIsNotNone(content['data']['project']['createAssessmentRegistry']['result']['id'])
content = _query_check(
self.UPDATE_ASSESSMENT_REGISTRY_QUERY,
update_minput,
variables={'projectId': self.project1.id, 'assessmentRegistryId': assessment_registry_id},
okay=False
)
data = content['data']['project']['updateAssessmentRegistry']['result']
self.assertEqual(data['id'], assessment_registry_id)
self.assertEqual(data['bgCrisisType'], update_minput['bgCrisisType'])
self.assertEqual(data['bgPreparedness'], update_minput['bgPreparedness'])
self.assertEqual(data['confidentiality'], update_minput['confidentiality'])
self.assertEqual(data['coordinatedJoint'], update_minput['coordinatedJoint'])
self.assertEqual(data['status'], update_minput['status'])
self.assertEqual(data['detailsType'], update_minput['detailsType'])
self.assertEqual(data['externalSupport'], update_minput['externalSupport'])
self.assertEqual(data['family'], update_minput['family'])
self.assertEqual(data['frequency'], update_minput['frequency'])
self.assertEqual(data['lead']['id'], str(update_minput['lead']))
self.assertEqual(data['language'], update_minput['language'])
self.assertEqual(data['bgCountries'][0]['id'], str(update_minput['bgCountries'][0]))

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