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schema.graphql
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type Person {
name: String!
surname: String!
email: String!
}
enum PersonRole {
SUBMITTER,
PI
}
enum Polarity {
POSITIVE
NEGATIVE
}
type Analyzer {
type: String!
resolvingPower(mz: Float!): Float!
}
enum AnnotationOrderBy {
ORDER_BY_MZ
ORDER_BY_MSM
ORDER_BY_FDR_MSM
ORDER_BY_DATASET
ORDER_BY_FORMULA
}
enum DatasetOrderBy {
ORDER_BY_DATE
ORDER_BY_NAME
}
enum SortingOrder {
ASCENDING,
DESCENDING
}
enum JobStatus {
QUEUED,
STARTED,
INDEXING,
FINISHED,
FAILED
}
type FdrCounts {
dbName: String!
levels: [Float!]!
counts: [Float!]!
}
type Dataset {
id: String!
name: String!
institution: String!
submitter: Person!
principalInvestigator: Person
polarity: Polarity!
ionisationSource: String!
analyzer: Analyzer!
organism: String
organismPart: String
condition: String
growthConditions: String
maldiMatrix: String
configJson: String!
# full metadata JSON conforming to schema published at
# https://github.com/metaspace2020/metadata
metadataJson: String!
isPublic: Boolean!
molDBs: [String!]!
adducts: [String!]!
acquisitionGeometry: String
metadataType: String!
status: JobStatus
inputPath: String
uploadDateTime: String
fdrCounts(inpFdrLvls: [Int!]!, checkLvl: Int!): FdrCounts
opticalImage: String!
}
# fields of categorical type
enum DatasetAggField {
DF_INSTITUTION,
DF_SUBMITTER_FIRST_NAME,
DF_SUBMITTER_SURNAME,
DF_POLARITY,
DF_ION_SOURCE,
DF_ANALYZER_TYPE,
DF_ORGANISM,
DF_ORGANISM_PART,
DF_CONDITION,
DF_GROWTH_CONDITIONS,
DF_MALDI_MATRIX
}
type CompoundInfoEntry {
database: String!
url: String
databaseId: String!
}
type Compound {
name: String!
imageURL: String
information: [CompoundInfoEntry]
# TODO: InChi/SMILES, ClassyFire results
}
type Adduct {
adduct: String!
charge: Int!
}
type Spectrum {
mzs: [Float!]!
intensities: [Float!]!
}
type MzImage {
mz: Float
url: String
totalIntensity: Float!
minIntensity: Float!
maxIntensity: Float!
}
type MolecularDatabase {
id: Int!
name: String!
version: String!
default: Boolean!
}
type Annotation {
id: String!
dataset: Dataset!
sumFormula: String!
adduct: String!
mz: Float!
possibleCompounds: [Compound!]!
fdrLevel: Float!
msmScore: Float!
rhoSpatial: Float
rhoSpectral: Float
rhoChaos: Float
isotopeImages: [MzImage!]!
peakChartData: String # JSON
}
# [min, max) interval
input NumericRange {
min: Float!
max: Float!
}
input AnnotationFilter {
database: String
datasetName: String
mzFilter: NumericRange
msmScoreFilter: NumericRange
compoundQuery: String
fdrLevel: Float
sumFormula: String
adduct: String
}
input PersonFilter {
name: String!
surname: String!
}
input DatasetFilter {
# list of IDs separated by '|'
ids: String
# exact match
institution: String
# substring match
name: String
# exact match
submitter: PersonFilter
polarity: Polarity
# exact match
ionisationSource: String
# exact match
analyzerType: String
# exact match
maldiMatrix: String
# exact match
organism: String
# exact match
organismPart: String
# exact match
condition: String
# exact match
growthConditions: String
# exact match
metadataType: String
status: JobStatus
}
input DatasetCountPerGroupInput {
fields: [DatasetAggField!]!
filter: DatasetFilter = {}
simpleQuery: String
}
input DatasetSubmitInput {
id: String
name: String
inputPath: String
uploadDT: String
isPublic: Boolean = true
molDBs: [String!]
adducts: [String!]
metadataJson: String
}
input DatasetUpdateInput {
id: String
name: String
uploadDT: String
isPublic: Boolean = true
molDBs: [String!]
adducts: [String!]
metadataJson: String
}
type DatasetCountPerGroupListElement {
fieldValues: [String!]! # corresponding to input fields
count: Int!
}
type DatasetCountPerGroup {
counts: [DatasetCountPerGroupListElement]
}
type RawOpticalImage {
url: String
transform: [[Float]]
}
input AddOpticalImageInput {
datasetId: String!
imageUrl: String!
# 3x3 transformation matrix in row-major order
# (acting in homogeneous coordinates)
transform: [[Float]]!
}
type Query {
dataset(id: String!): Dataset
datasetByName(name: String!): Dataset
allDatasets(orderBy: DatasetOrderBy = ORDER_BY_DATE,
sortingOrder: SortingOrder = DESCENDING,
filter: DatasetFilter = {}, simpleQuery: String,
offset: Int = 0, limit: Int = 10): [Dataset!]
allAnnotations(orderBy: AnnotationOrderBy = ORDER_BY_MSM,
sortingOrder: SortingOrder = DESCENDING,
offset: Int = 0, limit: Int = 10,
filter: AnnotationFilter = {},
datasetFilter: DatasetFilter = {},
simpleQuery: String): [Annotation]
countDatasets(filter: DatasetFilter = {}, simpleQuery: String): Int!
countDatasetsPerGroup(query: DatasetCountPerGroupInput!): DatasetCountPerGroup!
countAnnotations(filter: AnnotationFilter = {},
datasetFilter: DatasetFilter = {},
simpleQuery: String): Int!
annotation(id: String!): Annotation
metadataSuggestions(field: String!, query: String!, limit: Int = 10): [String!]!
peopleSuggestions(role: PersonRole!, query: String!): [Person!]!
molecularDatabases(hideDeprecated: Boolean = true): [MolecularDatabase!]
adductSuggestions: [Adduct!]!
opticalImageUrl(datasetId: String!, zoom: Float = 1): String
rawOpticalImage(datasetId: String!): RawOpticalImage
thumbnailImage(datasetId: String!): String,
reprocessingNeeded(input: DatasetUpdateInput!): Boolean!
}
type Mutation {
submitDataset(input: DatasetSubmitInput!, priority: Int=0, delFirst: Boolean=false): String!
# for dev purposes only
resubmitDataset(datasetId: String, priority: Int=0, delFirst: Boolean=false): String!
# TODO: consider renaming to updateDataset
updateMetadata(input: DatasetUpdateInput!, priority: Int=0): String!
deleteDataset(datasetId: String!): String!
addOpticalImage(input: AddOpticalImageInput!): String!
deleteOpticalImage(datasetId: String!): String!
}
type DatasetStatusUpdate {
dataset: Dataset
}
type Subscription {
datasetStatusUpdated: DatasetStatusUpdate
}
schema {
query: Query
mutation: Mutation
subscription: Subscription
}