mirror of
https://github.com/ClusterCockpit/cc-backend
synced 2024-12-25 12:59:06 +01:00
84 lines
3.5 KiB
YAML
84 lines
3.5 KiB
YAML
# Where are all the schema files located? globs are supported eg src/**/*.graphqls
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schema:
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- api/*.graphqls
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# Where should the generated server code go?
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exec:
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filename: internal/graph/generated/generated.go
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package: generated
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# Where should any generated models go?
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model:
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filename: internal/graph/model/models_gen.go
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package: model
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# Where should the resolver implementations go?
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resolver:
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layout: follow-schema
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dir: internal/graph
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package: graph
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# Optional: turn on use `gqlgen:"fieldName"` tags in your models
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# struct_tag: json
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# Optional: turn on to use []Thing instead of []*Thing
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# omit_slice_element_pointers: false
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# Optional: set to speed up generation time by not performing a final validation pass.
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# skip_validation: true
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# gqlgen will search for any type names in the schema in these go packages
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# if they match it will use them, otherwise it will generate them.
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autobind:
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- "github.com/ClusterCockpit/cc-backend/internal/graph/model"
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# This section declares type mapping between the GraphQL and go type systems
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#
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# The first line in each type will be used as defaults for resolver arguments and
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# modelgen, the others will be allowed when binding to fields. Configure them to
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# your liking
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models:
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ID:
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model:
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- github.com/99designs/gqlgen/graphql.ID
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- github.com/99designs/gqlgen/graphql.Int
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- github.com/99designs/gqlgen/graphql.Int64
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- github.com/99designs/gqlgen/graphql.Int32
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Int:
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model:
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- github.com/99designs/gqlgen/graphql.Int
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- github.com/99designs/gqlgen/graphql.Int64
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- github.com/99designs/gqlgen/graphql.Int32
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Job:
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model: "github.com/ClusterCockpit/cc-backend/pkg/schema.Job"
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fields:
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tags:
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resolver: true
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metaData:
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resolver: true
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Cluster:
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model: "github.com/ClusterCockpit/cc-backend/pkg/schema.Cluster"
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fields:
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partitions:
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resolver: true
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NullableFloat: { model: "github.com/ClusterCockpit/cc-backend/pkg/schema.Float" }
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MetricScope: { model: "github.com/ClusterCockpit/cc-backend/pkg/schema.MetricScope" }
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MetricValue: { model: "github.com/ClusterCockpit/cc-backend/pkg/schema.MetricValue" }
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JobStatistics: { model: "github.com/ClusterCockpit/cc-backend/pkg/schema.JobStatistics" }
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Tag: { model: "github.com/ClusterCockpit/cc-backend/pkg/schema.Tag" }
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Resource: { model: "github.com/ClusterCockpit/cc-backend/pkg/schema.Resource" }
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JobState: { model: "github.com/ClusterCockpit/cc-backend/pkg/schema.JobState" }
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TimeRange: { model: "github.com/ClusterCockpit/cc-backend/pkg/schema.TimeRange" }
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IntRange: { model: "github.com/ClusterCockpit/cc-backend/pkg/schema.IntRange" }
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JobMetric: { model: "github.com/ClusterCockpit/cc-backend/pkg/schema.JobMetric" }
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Series: { model: "github.com/ClusterCockpit/cc-backend/pkg/schema.Series" }
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MetricStatistics: { model: "github.com/ClusterCockpit/cc-backend/pkg/schema.MetricStatistics" }
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MetricConfig: { model: "github.com/ClusterCockpit/cc-backend/pkg/schema.MetricConfig" }
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SubClusterConfig: { model: "github.com/ClusterCockpit/cc-backend/pkg/schema.SubClusterConfig" }
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Accelerator: { model: "github.com/ClusterCockpit/cc-backend/pkg/schema.Accelerator" }
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Topology: { model: "github.com/ClusterCockpit/cc-backend/pkg/schema.Topology" }
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FilterRanges: { model: "github.com/ClusterCockpit/cc-backend/pkg/schema.FilterRanges" }
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SubCluster: { model: "github.com/ClusterCockpit/cc-backend/pkg/schema.SubCluster" }
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StatsSeries: { model: "github.com/ClusterCockpit/cc-backend/pkg/schema.StatsSeries" }
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Unit: { model: "github.com/ClusterCockpit/cc-backend/pkg/schema.Unit" }
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