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This release is a pre-release and may not be stable for production use.

gooddata-code-convertors

GoodData AAC YAML / Declarative API code converters, powered by WebAssembly.

Provides bidirectional conversion between AAC YAML format (used by the gdc-analytics-as-code VSCode plugin) and GoodData Declarative API format.

Installation

pip install gooddata-code-convertors

Usage

YAML-to-Declarative functions accept parsed YAML dicts (e.g. from yaml.safe_load), not raw YAML strings.

import yaml
from gooddata_code_convertors import yaml_metric_to_declarative, declarative_metric_to_yaml

# AAC YAML -> Declarative API
with open("metrics/revenue.yaml") as f:
    parsed = yaml.safe_load(f)
declarative = yaml_metric_to_declarative(parsed)

# Declarative API -> AAC YAML
yaml_result = declarative_metric_to_yaml(declarative)

Types: static (_types) vs. runtime-validating (pydantic_models)

Two parallel sets of Python types are generated from the same AAC JSON Schema:

  • gooddata_code_convertors._typesTypedDicts, re-exported at the package top level (from gooddata_code_convertors import Dashboard). Static typing only, zero runtime cost, zero validation.
  • gooddata_code_convertors.pydantic_models — real Pydantic v2 BaseModels (not re-exported at the top level, to avoid name collisions with _types — import from the submodule directly: from gooddata_code_convertors.pydantic_models import Dashboard). Use these when you need actual runtime validation of a payload, e.g. Dashboard.model_validate(payload).

Gotcha: shared string-pattern fields (e.g. every entity's id) are wrapped in their own RootModel[str] class in pydantic_models rather than being plain str — access the value via .root (e.g. dashboard.id.root). This is a deliberate trade-off: collapsing them into plain str fields breaks import entirely, because pydantic-core's Rust regex engine can't compile this schema's negative-lookahead patterns once collapsed. _types' TypedDicts are unaffected (Dashboard["id"] is a plain str there, since TypedDict has no runtime pattern validation to trip over).

Available Converters

YAML -> Declarative API

  • yaml_dataset_to_declarative
  • yaml_date_dataset_to_declarative
  • yaml_metric_to_declarative
  • yaml_visualisation_to_declarative
  • yaml_dashboard_to_declarative
  • yaml_plugin_to_declarative
  • yaml_attribute_hierarchy_to_declarative

Declarative API -> YAML

  • declarative_dataset_to_yaml
  • declarative_date_instance_to_yaml
  • declarative_metric_to_yaml
  • declarative_visualisation_to_yaml
  • declarative_dashboard_to_yaml
  • declarative_plugin_to_yaml
  • declarative_attribute_hierarchy_to_yaml

Utilities

  • build_afm_execution

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