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https://github.com/forcedotcom/afv-library.git
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b26d254871
Adds a skill for authoring Tableau Next semantic models (SDMs) on Data 360: build from scratch, add data objects, define joins, enrich with calculated fields and metrics, and make models AI-ready. Smoke-tested against a live Data 360 org: SDM discovery, AI-readiness flip, dimension creation, metric creation, and description backfill all exercised end-to-end.
37 lines
943 B
Python
37 lines
943 B
Python
"""Verify script paths are accessible."""
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import os
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import sys
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def verify_scripts():
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"""Check if shared scripts are accessible."""
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required_scripts = [
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"discover_sdm.py",
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"create_calc_field.py",
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"create_metric.py",
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"create_sdm.py",
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"add_data_object.py",
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"add_relationship.py",
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]
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script_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
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missing = []
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for script in required_scripts:
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path = os.path.join(script_dir, script)
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if not os.path.exists(path):
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missing.append(script)
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if missing:
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print(f"ERROR: Missing scripts: {missing}")
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print(f"Expected location: {script_dir}")
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print("The tableau-next-semantic-model-generate skill appears incomplete. Re-install it.")
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sys.exit(1)
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print("All required scripts accessible")
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return True
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if __name__ == "__main__":
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verify_scripts()
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