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dbt_semantic_interfaces_manifest_with_model_measures_entities.py
pythonProgrammatically constructs and validates a basic dbt Semantic M
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dbt_semantic_interfaces_manifest_with_model_measures_entities.py
1from dbt_semantic_interfaces.objects.metadata import Metadata
2from dbt_semantic_interfaces.objects.semantic_manifest import SemanticManifest
3from dbt_semantic_interfaces.objects.semantic_model import SemanticModel
4from dbt_semantic_interfaces.type_enums import AggregationType, EntityType, TimeGranularity
5from dbt_semantic_interfaces.references import SemanticModelReference
6from dbt_semantic_interfaces.objects.elements.node_relation import NodeRelation
7from dbt_semantic_interfaces.objects.elements.measure import Measure
8from dbt_semantic_interfaces.objects.elements.entity import Entity
9from dbt_semantic_interfaces.objects.elements.dimension import Dimension, DimensionTypeParams
10
11# 1. Define a Semantic Model
12semantic_model = SemanticModel(
13 name="orders_model",
14 description="A semantic model for order data",
15 node_relation=NodeRelation(
16 alias="orders",
17 schema_name="main"
18 ),
19 entities=[
20 Entity(
21 name="order_id",
22 type=EntityType.PRIMARY,
23 )
24 ],
25 measures=[
26 Measure(
27 name="order_total",
28 agg=AggregationType.SUM,
29 description="The total value of orders"
30 )
31 ],
32 dimensions=[
33 Dimension(
34 name="ordered_at",
35 type=DimensionTypeParams(
36 time_granularity=TimeGranularity.DAY
37 )
38 )
39 ]
40)
41
42# 2. Build the Semantic Manifest
43manifest = SemanticManifest(
44 semantic_models=[semantic_model],
45 metrics=[], # Metrics would be defined similarly to semantic models
46 project_configuration=None,
47 metadata=Metadata(repo_handle="my-repo", file_slice=None)
48)
49
50# 3. Access data from the manifest
51print(f"Created manifest with semantic model: {manifest.semantic_models[0].name}")
52for measure in manifest.semantic_models[0].measures:
53 print(f"Measure: {measure.name} (Aggregation: {measure.agg.value})")