fix(context): merge overlay columns onto manifest columns by name (#94)

* fix(context): merge overlay columns onto manifest columns by name

composeOverlay was appending overlay columns to the manifest column list,
producing duplicate entries when dbt/metabase overlays declared a column
just to attach descriptions. The duplicates carried no `type`, so the
pydantic SourceDefinition rejected them at semantic-query time and broke
`ktx sl query` for every overlay-backed measure. Now overlay columns
match base columns by name (case-insensitive): same-name entries merge
onto the manifest (overlay fields win, type/role fall back to the base,
descriptions merge per source key) and only new names append.

* refactor(sl): split overlay columns from column_overrides and enforce TS/Python wire contract

Overlay sources now have two distinct collections: `columns:` for computed
columns (requiring `expr` + `type`) and `column_overrides:` for metadata
patches to inherited manifest columns. Composing or loading an overlay that
mixes the two — or references an unknown column — fails with a typed error.

Introduce `ResolvedSemanticLayerSource` / `resolvedSourceSchema` /
`toResolvedWire` as the strict shape sent to the Python engine, and add a
schema contract test that diffs Zod against the Pydantic JSON schema dumped
by `python -m semantic_layer dump-schema`. `SourceDefinition` is now
`extra="forbid"` on the Python side.

`loadAllSources` surfaces per-file load errors instead of swallowing them,
so validation/query paths can report manifest shard parse failures.

* fix(context): make scan description generation resilient and quiet

A transient sampleTable failure during ingest used to take out every
table in a connection: generateTableDescription returned a hardcoded
'Table not found' string into descriptions.ai, and KtxDescriptionGenerator
was constructed without a logger, so the failure left no trail anywhere.

- sampleTable / sampleColumn calls retry 3x with 200/400/800ms backoff,
  honouring KtxScanContext.signal via a new KtxAbortedError.
- On retry exhaustion or missing capability, table generation falls back
  to a metadata-only prompt built from column name / native type / comment
  / rawDescriptions. The column path follows the same rule -- call the
  LLM when any of samples or rawDescriptions are available; skip only
  when both are absent.
- Logger is now threaded from KtxScanContext into the generator. Failures
  emit structured KtxScanWarning entries (new description_fallback_used
  code, plus existing sampling_failed / enrichment_failed /
  connector_capability_missing). ktx scan groups warnings by code so a
  batch of identical failures collapses to one summary line plus sample.
- Returns null on failure instead of the 'Table not found' sentinel; the
  manifest writer's existing guard already skips empty descriptions, so
  schema YAML no longer carries misleading text. SCAN_MANAGED_DESCRIPTION_KEYS
  already strips stale 'ai' on merge, so existing YAML clears on next run.

Also suppress AI SDK v6 'system in messages' warning: pull system messages
out of KtxMessageBuilder.wrapSimple's output via a new splitKtxSystemMessages
helper and pass them top-level to generateText (preserves cacheControl
providerOptions on the SystemModelMessage). Agent-runner's local
splitSystemPromptMessages dedupes onto the shared helper.

* test(docs): align examples-docs assertions with revamped docs

PR #103 (setup/guide doc revamp) reworded several CLI examples and
connection labels; the assertions in scripts/examples-docs.test.mjs
still referenced the pre-revamp wording and were failing in CI on main.
Update the regexes to match the post-revamp content:

- drop the `--json` flag from the sl-query example expectation
- move the `Driver:` / `Status: ok` probe to the connection reference,
  which is where that output now lives (driver id is lowercase
  `postgres`, not the display name `PostgreSQL`)
- drop the obsolete `Install \`uv\`...` troubleshooting line
- accept `<connectionId>` everywhere; the docs no longer use the
  hyphenated `<connection-id>` form
- match the `warehouse` connection id used in the quickstart instead of
  the `postgres-warehouse` id only used in the README and setup ref

* fix(sl): skip TS/Python schema contract test when uv is unavailable

The TypeScript checks CI job does not install uv or Python, so the
module-level `execFileSync('uv', ...)` in schemas.contract.test.ts threw
ENOENT and failed the suite. Wrap the schema dump in a try/catch and
guard the describe block with `describe.skipIf` so the test skips in
environments without uv. Local dev and any CI job that has uv on PATH
still runs the cross-language contract assertion.
This commit is contained in:
Andrey Avtomonov 2026-05-15 02:11:04 +02:00 committed by GitHub
parent 6bc8d200ea
commit cb8902f1e5
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
56 changed files with 1650 additions and 237 deletions

View file

@ -1,3 +1,22 @@
from semantic_layer.cli import main
from __future__ import annotations
main()
import json
import sys
from semantic_layer.cli import main as cli_main
from semantic_layer.models import SourceDefinition
def dump_schema() -> None:
json.dump(
SourceDefinition.model_json_schema(), sys.stdout, indent=2, sort_keys=True
)
sys.stdout.write("\n")
if __name__ == "__main__":
if len(sys.argv) > 1 and sys.argv[1] in {"dump-schema", "schema"}:
sys.argv.pop(1)
dump_schema()
else:
cli_main()

View file

@ -87,18 +87,23 @@ class SourceLoader:
sources[name] = SourceDefinition(**data)
else:
# Overlay — validate and compose with matching manifest entry
errors = validate_overlay(data)
if errors:
raise ValueError(
f"Invalid overlay '{name}' in {path}: {'; '.join(errors)}"
)
base = sources.get(name)
if base:
errors = validate_overlay(data, {c.name for c in base.columns})
if errors:
raise ValueError(
f"Invalid overlay '{name}' in {path}: {'; '.join(errors)}"
)
(
sources[name],
description_sources[name],
) = self._compose(base, data, description_sources.get(name))
else:
errors = validate_overlay(data)
if errors:
raise ValueError(
f"Invalid overlay '{name}' in {path}: {'; '.join(errors)}"
)
logger.warning(
"Orphan overlay '%s' in %s: no matching manifest entry, skipping",
name,
@ -149,12 +154,55 @@ class SourceLoader:
description_sources or None,
)
# Filter columns
excluded = set(overlay.get("exclude_columns", []))
overrides = overlay.get("column_overrides", [])
override_names = {override.get("name") for override in overrides}
conflicts = sorted(name for name in override_names if name in excluded)
if conflicts:
raise ValueError(
"column_overrides conflict with exclude_columns: "
+ ", ".join(conflicts)
)
base_by_name = {column.name: column for column in base.columns}
for override in overrides:
name = override.get("name")
base_column = base_by_name.get(name)
if base_column is None:
raise ValueError(
f"column '{name}' in column_overrides does not exist on manifest source '{base.name}'"
)
excluded = set(overlay.get("exclude_columns", []))
source.columns = [c for c in source.columns if c.name not in excluded]
# Append computed columns (overlay columns with expr)
columns_by_name = {column.name: column for column in source.columns}
for override in overrides:
name = override["name"]
base_column = base_by_name[name]
merged = base_column.model_dump(mode="python", exclude_none=True)
base_descriptions = merged.get("descriptions") or {}
override_data = dict(override)
override_descriptions = override_data.get("descriptions") or {}
merged.update(override_data)
if base_descriptions or override_descriptions:
merged["descriptions"] = {
**base_descriptions,
**override_descriptions,
}
columns_by_name[name] = SourceColumn(**merged)
source.columns = list(columns_by_name.values())
# Append computed columns. Manifest column names cannot be reused here;
# use column_overrides for metadata patches.
for col in overlay.get("columns", []):
name = col.get("name")
if name in base_by_name:
raise ValueError(
f"column '{name}' in columns patches a manifest column on '{base.name}' — move it to 'column_overrides:'"
)
source.columns.append(SourceColumn(**col))
# Set measures
@ -181,6 +229,11 @@ class SourceLoader:
]
source.joins = manifest_joins + new_joins
if not source.table and not source.sql:
raise ValueError("resolved source must have 'table' or 'sql'")
if source.table and source.sql:
raise ValueError("'table' and 'sql' are mutually exclusive")
return source, (description_sources or None)
def _validate_cross_references(self, sources: dict[str, SourceDefinition]) -> None:

View file

@ -143,7 +143,9 @@ class Manifest(BaseModel):
# ── Projection ──────────────────────────────────────────────────────
def validate_overlay(data: dict) -> list[str]:
def validate_overlay(
data: dict, manifest_column_names: set[str] | None = None
) -> list[str]:
"""Validate that overlay data doesn't contain structural fields.
Returns a list of error messages (empty if valid).
@ -162,11 +164,26 @@ def validate_overlay(data: dict) -> list[str]:
errors.append(
f"Overlay column '{col.get('name', '?')}' must use 'descriptions'"
)
if "type" in col and "expr" not in col:
if "expr" not in col:
errors.append(
f"Overlay column '{col.get('name', '?')}' specifies 'type' without 'expr' "
f"(structural types are inherited from manifest — only computed columns may specify a type)"
f"Overlay column '{col.get('name', '?')}' in 'columns' must define "
f"'expr' and 'type' (use 'column_overrides' to patch manifest columns)"
)
if "type" not in col:
errors.append(
f"Overlay column '{col.get('name', '?')}' in 'columns' must define "
f"'type' and 'expr' (use 'column_overrides' to patch manifest columns)"
)
for col in data.get("column_overrides", []):
name = col.get("name", "?")
if "description" in col:
errors.append(f"Column override '{name}' must use 'descriptions'")
if "type" in col:
errors.append(f"Column override '{name}' must not contain 'type'")
if "expr" in col:
errors.append(f"Column override '{name}' must not contain 'expr'")
if manifest_column_names is not None and name not in manifest_column_names:
errors.append(f"Column override '{name}' does not match a manifest column")
return errors

View file

@ -3,7 +3,7 @@ from __future__ import annotations
from enum import Enum
from typing import Any, Literal
from pydantic import BaseModel, Field, model_validator
from pydantic import BaseModel, ConfigDict, Field, model_validator
# ── Source Definition Models ──────────────────────────────────────────
@ -105,6 +105,8 @@ class DefaultTimeDimensionDbt(BaseModel):
class SourceDefinition(BaseModel):
model_config = ConfigDict(extra="forbid")
name: str
description: str | None = None
descriptions: dict[str, str] | None = None
@ -123,6 +125,8 @@ class SourceDefinition(BaseModel):
def validate_source(self) -> SourceDefinition:
if self.description is None:
self.description = _resolve_description_map(self.descriptions)
if not self.table and not self.sql:
raise ValueError("resolved source must have 'table' or 'sql'")
if self.table and self.sql:
raise ValueError("'table' and 'sql' are mutually exclusive")
if not self.grain:

View file

@ -148,11 +148,21 @@ class TestLoaderEdgeCases:
with open(Path(tmpdir) / "test.yaml", "w") as f:
yaml.dump(data, f)
loader = SourceLoader(tmpdir)
try:
sources = loader.load_all()
assert "test" in sources
except Exception:
pass
with pytest.raises(Exception, match="unknown_field"):
loader.load_all()
def test_source_requires_table_or_sql(self):
with tempfile.TemporaryDirectory() as tmpdir:
data = {
"name": "test",
"grain": ["id"],
"columns": [{"name": "id", "type": "number"}],
}
with open(Path(tmpdir) / "test.yaml", "w") as f:
yaml.dump(data, f)
loader = SourceLoader(tmpdir)
with pytest.raises(Exception, match="table.*sql"):
loader.load_file(Path(tmpdir) / "test.yaml")
def test_subdirectory_sources(self):
with tempfile.TemporaryDirectory() as tmpdir:

View file

@ -205,12 +205,15 @@ class TestValidateOverlay:
"descriptions": {"user": "Revenue-bearing orders"},
"grain": ["id"],
"measures": [{"name": "revenue", "expr": "sum(total)"}],
"column_overrides": [
{"name": "status", "descriptions": {"user": "Order lifecycle status"}}
],
"columns": [
{"name": "is_high_value", "expr": "total > 1000", "type": "boolean"}
],
"exclude_columns": ["status"],
}
errors = validate_overlay(data)
errors = validate_overlay(data, {"status", "total"})
assert errors == []
def test_validate_overlay_rejects_table(self):
@ -225,14 +228,13 @@ class TestValidateOverlay:
assert len(errors) == 1
assert "sql" in errors[0].lower()
def test_validate_overlay_rejects_type_without_expr(self):
def test_validate_overlay_rejects_column_without_expr(self):
data = {
"name": "orders",
"columns": [{"name": "status", "type": "string"}],
}
errors = validate_overlay(data)
assert len(errors) == 1
assert "type" in errors[0].lower()
assert "expr" in errors[0].lower()
def test_validate_overlay_allows_type_with_expr(self):
@ -243,6 +245,33 @@ class TestValidateOverlay:
errors = validate_overlay(data)
assert errors == []
def test_validate_overlay_rejects_column_override_structural_fields(self):
data = {
"name": "orders",
"column_overrides": [
{
"name": "status",
"description": "Status",
"type": "string",
"expr": "status",
}
],
}
errors = validate_overlay(data, {"status"})
assert len(errors) == 3
assert "descriptions" in errors[0]
assert "type" in errors[1]
assert "expr" in errors[2]
def test_validate_overlay_rejects_unknown_column_override(self):
data = {
"name": "orders",
"column_overrides": [{"name": "missing", "descriptions": {"user": "Nope"}}],
}
errors = validate_overlay(data, {"status"})
assert len(errors) == 1
assert "does not match" in errors[0]
# ── Two-Tier Loading Tests ─────────────────────────────────────────
@ -502,6 +531,77 @@ class TestTwoTierLoading:
assert hv.expr == "total > 1000"
assert hv.type == "boolean"
def test_overlay_column_overrides_patch_manifest_columns(self, tmp_path: Path):
schema_dir = tmp_path / "_schema"
_write_yaml(schema_dir / "public.yaml", _manifest_tables())
overlay = {
"name": "orders",
"column_overrides": [
{"name": "status", "descriptions": {"user": "Order lifecycle status"}}
],
}
_write_yaml(tmp_path / "orders.yaml", overlay)
_write_yaml(tmp_path / "customers.yaml", {"name": "customers"})
loader = SourceLoader(tmp_path)
sources = loader.load_all()
status = next(c for c in sources["orders"].columns if c.name == "status")
assert status.type == "string"
assert status.description == "Order lifecycle status"
assert status.descriptions == {"user": "Order lifecycle status"}
def test_overlay_rejects_unknown_column_override(self, tmp_path: Path):
schema_dir = tmp_path / "_schema"
_write_yaml(schema_dir / "public.yaml", _manifest_tables())
overlay = {
"name": "orders",
"column_overrides": [
{"name": "missing", "descriptions": {"user": "No such column"}}
],
}
_write_yaml(tmp_path / "orders.yaml", overlay)
_write_yaml(tmp_path / "customers.yaml", {"name": "customers"})
loader = SourceLoader(tmp_path)
with pytest.raises(ValueError, match="Column override 'missing'"):
loader.load_all()
def test_overlay_rejects_computed_column_name_collision(self, tmp_path: Path):
schema_dir = tmp_path / "_schema"
_write_yaml(schema_dir / "public.yaml", _manifest_tables())
overlay = {
"name": "orders",
"columns": [{"name": "status", "type": "string", "expr": "status"}],
}
_write_yaml(tmp_path / "orders.yaml", overlay)
_write_yaml(tmp_path / "customers.yaml", {"name": "customers"})
loader = SourceLoader(tmp_path)
with pytest.raises(ValueError, match="move it to 'column_overrides:'"):
loader.load_all()
def test_overlay_rejects_exclude_override_conflict(self, tmp_path: Path):
schema_dir = tmp_path / "_schema"
_write_yaml(schema_dir / "public.yaml", _manifest_tables())
overlay = {
"name": "orders",
"exclude_columns": ["status"],
"column_overrides": [
{"name": "status", "descriptions": {"user": "Hidden status"}}
],
}
_write_yaml(tmp_path / "orders.yaml", overlay)
_write_yaml(tmp_path / "customers.yaml", {"name": "customers"})
loader = SourceLoader(tmp_path)
with pytest.raises(ValueError, match="conflict with exclude_columns"):
loader.load_all()
def test_overlay_measures_set(self, tmp_path: Path):
schema_dir = tmp_path / "_schema"
_write_yaml(schema_dir / "public.yaml", _manifest_tables())