feat(tht): schema columns reader (name/description/type/pk) from catalog
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import json
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from datetime import datetime
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from typer.testing import CliRunner
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from tht.cli import app # the root Typer app that mounts schema_app as "schema"
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from tht.mschema.models import ColumnPhysical, PhysicalSchema, TablePhysical
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def _write_catalog(tmp_path):
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phys = PhysicalSchema(
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database="d", schema="s", introspected_at=datetime(2026, 1, 1),
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tables={
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"dim_patient": TablePhysical(
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comment="Anagrafica",
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columns={
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"cod_paz": ColumnPhysical(type="bigint", pk=True, comment="Codice paziente"),
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"nome": ColumnPhysical(type="text", comment="Nome"),
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},
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)
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},
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)
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out = tmp_path / "artifacts" / "mschema" / "physical.yaml"
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phys.to_yaml(out)
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return out
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def test_schema_columns_json(tmp_path, monkeypatch):
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_write_catalog(tmp_path)
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cfg = tmp_path / "workspace.yaml"
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cfg.write_text(
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"database: {database: d, schema: s, user: u, password: p, transport: direct}\n"
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f"paths: {{artifacts: {tmp_path/'artifacts'}, indexes: {tmp_path/'i'}, sessions: {tmp_path/'s'}}}\n"
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)
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res = CliRunner().invoke(app, ["schema", "columns", "dim_patient", "--json", "-c", str(cfg)])
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assert res.exit_code == 0, res.output
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data = json.loads(res.output)
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assert data["table"] == "dim_patient"
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assert data["description"] == "Anagrafica"
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assert {"name": "cod_paz", "description": "Codice paziente", "type": "bigint", "pk": True} in data["columns"]
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