Files
ThothII/harness/tests/test_schema_columns_cmd.py
T
marcopanandClaude Opus 4.8 9fbca06f7c feat(harness): make tht schema columns glob/pattern-aware
At F4 (schema_linking) a model asking for a whole table family, e.g.
`fact_sost_impianto_*`, used to hit a bare "tabella non nel catalogo" and stall
without recovering. Now a pattern (containing * ? [) resolves to every matching
catalog table and returns their columns (JSON becomes an array of per-table
objects); exact names keep the original single-object contract. A non-glob miss
also suggests sibling tables sharing the leading segment, to aid recovery.

Verified live: `fact_sost_impianto_*` resolves the 20-table family on the psd
catalog. Harness suite green (811 passed).

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-18 13:24:20 +02:00

100 lines
3.6 KiB
Python

import json
from datetime import datetime
from typer.testing import CliRunner
from tht.cli import app # the root Typer app that mounts schema_app as "schema"
from tht.mschema.models import ColumnPhysical, PhysicalSchema, TablePhysical
def _write_catalog(tmp_path):
phys = PhysicalSchema(
database="d", schema="s", introspected_at=datetime(2026, 1, 1),
tables={
"dim_patient": TablePhysical(
comment="Anagrafica",
columns={
"cod_paz": ColumnPhysical(type="bigint", pk=True, comment="Codice paziente"),
"nome": ColumnPhysical(type="text", comment="Nome"),
},
)
},
)
out = tmp_path / "artifacts" / "mschema" / "physical.yaml"
phys.to_yaml(out)
return out
def test_schema_columns_json(tmp_path, monkeypatch):
_write_catalog(tmp_path)
cfg = tmp_path / "workspace.yaml"
cfg.write_text(
"database: {database: d, schema: s, user: u, password: p, transport: direct}\n"
f"paths: {{artifacts: {tmp_path/'artifacts'}, indexes: {tmp_path/'i'}, sessions: {tmp_path/'s'}}}\n"
)
res = CliRunner().invoke(app, ["schema", "columns", "dim_patient", "--json", "-c", str(cfg)])
assert res.exit_code == 0, res.output
data = json.loads(res.output)
assert data["table"] == "dim_patient"
assert data["description"] == "Anagrafica"
assert {"name": "cod_paz", "description": "Codice paziente", "type": "bigint", "pk": True} in data["columns"]
def _write_family_catalog(tmp_path):
def _t(comment):
return TablePhysical(
comment=comment,
columns={"cod_paz": ColumnPhysical(type="bigint", pk=True, comment="Codice paziente")},
)
phys = PhysicalSchema(
database="d", schema="s", introspected_at=datetime(2026, 1, 1),
tables={
"fact_sost_impianto_pmk": _t("Sost PMK"),
"fact_sost_impianto_crt_d": _t("Sost CRT-D"),
"fact_impianto_pacemaker": _t("Impianto PMK"),
},
)
out = tmp_path / "artifacts" / "mschema" / "physical.yaml"
phys.to_yaml(out)
return out
def _cfg(tmp_path):
cfg = tmp_path / "workspace.yaml"
cfg.write_text(
"database: {database: d, schema: s, user: u, password: p, transport: direct}\n"
f"paths: {{artifacts: {tmp_path/'artifacts'}, indexes: {tmp_path/'i'}, sessions: {tmp_path/'s'}}}\n"
)
return cfg
def test_schema_columns_glob_resolves_the_matching_family(tmp_path):
_write_family_catalog(tmp_path)
res = CliRunner().invoke(
app, ["schema", "columns", "fact_sost_impianto_*", "--json", "-c", str(_cfg(tmp_path))]
)
assert res.exit_code == 0, res.output
data = json.loads(res.output)
assert isinstance(data, list) # a pattern yields an array of per-table objects
assert sorted(d["table"] for d in data) == ["fact_sost_impianto_crt_d", "fact_sost_impianto_pmk"]
def test_schema_columns_glob_without_matches_errors(tmp_path):
_write_family_catalog(tmp_path)
res = CliRunner().invoke(
app, ["schema", "columns", "fact_assente_*", "-c", str(_cfg(tmp_path))]
)
assert res.exit_code == 1
assert "nessuna tabella corrisponde al pattern" in res.output
def test_schema_columns_exact_miss_suggests_siblings(tmp_path):
_write_family_catalog(tmp_path)
res = CliRunner().invoke(
app, ["schema", "columns", "fact_sost_impianto_xyz", "-c", str(_cfg(tmp_path))]
)
assert res.exit_code == 1
assert "tabella non nel catalogo" in res.output
assert "fact_sost_impianto_crt_d" in res.output # sibling suggested to aid recovery