Files
lancedb/python/python/tests/test_first_class_function_slice2.py
T
Xuanwo b0dae5eb0b feat: return typed refresh job results (#4013)
## Problem

`refresh_column_async` returned a unit-result job even though durable
refresh jobs carry a canonical terminal result. Python callers could not
obtain row counts or source and published versions through the public
`Job` API, and local and remote refresh jobs exposed different result
semantics.

## Behavior

`refresh_column_async` now returns `Job[RefreshColumnResult]` for local
and remote tables. The general typed-job bridge binds each endpoint to
its public result model while preserving unit-result jobs and existing
status, wait, cancel, and timeout behavior. A local no-op refresh
reports no published version.

The Node.js API continues to resolve `wait()` as `void`; its binding
erases the Rust result type internally to preserve the existing public
contract.

## Ownership and integration boundary

LanceDB owns the language-neutral `Job<T>` contract and language-binding
decode. Sophon owns production and durable persistence of terminal
payloads. Sophon #7348 and #7378 now publish the canonical refresh
result for Function-backed and expression-backed refresh jobs,
respectively. The remote client fixture matches the merged server
schema; live deployment and end-to-end demo acceptance remain separate
rollout checks.
2026-08-25 00:01:32 +08:00

255 lines
8.3 KiB
Python

# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright The LanceDB Authors
from __future__ import annotations
import contextlib
import http.server
import json
from pathlib import Path
import threading
from typing import Optional
import pyarrow as pa
import pytest
import lancedb
from lancedb.functions import UdfDefinition, udf
FIXTURES = (
Path(__file__).parents[3]
/ "rust"
/ "lancedb"
/ "tests"
/ "fixtures"
/ "first_class_functions"
/ "v1"
)
@udf(
pip=["numpy>=2"],
env={"MODE": "test"},
secrets=["API_TOKEN"],
python_version="3.12",
)
def normalize_score(value: float) -> float:
return value / 100.0
def _assert_no_secret_values(value):
if isinstance(value, dict):
for key, child in value.items():
assert key not in {
"secret_value",
"secret_values",
"resolved_secret",
"resolved_secrets",
}
_assert_no_secret_values(child)
elif isinstance(value, list):
for child in value:
_assert_no_secret_values(child)
def test_scalar_udf_matches_shared_registration_golden_and_remains_callable():
assert isinstance(normalize_score, UdfDefinition)
assert normalize_score(25.0) == 0.25
assert (
normalize_score.registration_request.to_canonical_json()
== (FIXTURES / "remote_function_registration_request.canonical.json")
.read_text()
.strip()
)
request = json.loads(normalize_score.registration_request.to_canonical_json())
assert request["artifact"]["adapter"] == {
"kind": "scalar_to_arrow_batch",
"version": 1,
}
assert request["required_secrets"] == ["API_TOKEN"]
_assert_no_secret_values(request)
def test_explicit_arrow_schema_is_deterministic():
input_schema = pa.schema([pa.field("value", pa.float32(), nullable=True)])
output_schema = pa.field("embedding", pa.list_(pa.float32(), 3), nullable=False)
@udf(input_schema=input_schema, output_schema=output_schema)
def explicit(value):
return [value, value, value]
signature = explicit.registration_request.signature
assert signature.inputs[0].arrow_type == "float32"
assert signature.inputs[0].nullable is True
assert signature.output.arrow_type == "fixed_size_list<float32>[3]"
assert signature.output.nullable is False
def test_annotation_and_explicit_schema_validation_fail_closed():
with pytest.raises(TypeError, match="missing Function annotations"):
@udf
def missing(value):
return value
with pytest.raises(TypeError, match="unsupported Function annotation"):
@udf
def unsupported(value: set[str]) -> str:
return ""
with pytest.raises(ValueError, match="output must be non-nullable"):
@udf
def nullable_output(value: int) -> Optional[int]:
return value
with pytest.raises(ValueError, match="provided together"):
@udf(input_schema=pa.schema([pa.field("value", pa.int64())]))
def partial_schema(value):
return value
with pytest.raises(ValueError, match="exactly match callable parameters"):
@udf(
input_schema=pa.schema([pa.field("other", pa.int64())]),
output_schema=pa.int64(),
)
def wrong_name(value):
return value
with pytest.raises(ValueError, match="output must be non-nullable"):
@udf(
input_schema=pa.schema([pa.field("value", pa.int64())]),
output_schema=pa.field("result", pa.int64(), nullable=True),
)
def nullable_explicit(value):
return value
def test_environment_rejects_secret_value_overlap():
with pytest.raises(ValueError, match="must be disjoint"):
@udf(env={"TOKEN": "plaintext"}, secrets=["TOKEN"])
def overlapping(value: int) -> int:
return value
def test_local_function_catalog_operations_are_not_supported(tmp_path):
db = lancedb.connect(tmp_path)
message = "Function catalog operations are not supported by this database"
with pytest.raises(NotImplementedError, match=message):
db.create_function(normalize_score)
with pytest.raises(NotImplementedError, match=message):
db.create_function_async(normalize_score)
with pytest.raises(NotImplementedError, match=message):
db.get_function("normalize_score", version="fv_exact")
@contextlib.contextmanager
def _mock_remote_function_catalog():
state = {"requests": [], "version": None}
class Handler(http.server.BaseHTTPRequestHandler):
def log_message(self, *args):
pass
def do_POST(self):
length = int(self.headers.get("Content-Length", "0"))
body = json.loads(self.rfile.read(length) or b"{}")
state["requests"].append((self.path, body))
status = 200
if self.path == "/v1/functions/create":
state["version"] = {
"name": body["name"],
"version": "fv_exact",
"artifact": {
key: body["artifact"][key]
for key in ("kind", "digest", "entrypoint")
},
"signature": body["signature"],
"runtime": body["runtime"],
"runtime_digest": "sha256:runtime",
"environment_digest": "sha256:environment",
"required_secrets": body.get("required_secrets", []),
"created_at": "2026-08-21T00:00:00Z",
}
response = {"job_id": "job-register"}
status = 202
elif self.path == "/v1/jobs/describe":
assert body == {"job_id": "job-register"}
response = {
"job_id": "job-register",
"job_type": "create_function",
"job_state": "DONE",
"result": state["version"],
}
elif self.path == "/v1/functions/describe":
assert body == {
"name": "normalize_score",
"version": "fv_exact",
}
response = state["version"]
else:
status = 404
response = {"error": "not found"}
encoded = json.dumps(response).encode()
self.send_response(status)
self.send_header("Content-Type", "application/json")
self.send_header("Content-Length", str(len(encoded)))
self.end_headers()
self.wfile.write(encoded)
with http.server.HTTPServer(("localhost", 0), Handler) as server:
thread = threading.Thread(target=server.serve_forever)
thread.start()
try:
yield f"http://localhost:{server.server_address[1]}", state
finally:
server.shutdown()
thread.join()
def test_remote_registration_job_and_exact_version_reopen_round_trip():
with _mock_remote_function_catalog() as (host, state):
db = lancedb.connect(
"db://dev",
api_key="fake",
host_override=host,
client_config={"retry_config": {"retries": 0}},
)
registration = db.create_function_async(normalize_score)
assert registration.id == "job-register"
created = registration.wait()
reopened = db.get_function("normalize_score", version=created.version)
assert created == reopened
assert reopened.name == "normalize_score"
assert reopened.version == "fv_exact"
create_request = state["requests"][0][1]
assert create_request == json.loads(
normalize_score.registration_request.to_canonical_json()
)
_assert_no_secret_values(create_request)
def test_blocking_remote_registration_returns_function_version():
with _mock_remote_function_catalog() as (host, state):
db = lancedb.connect(
"db://dev",
api_key="fake",
host_override=host,
client_config={"retry_config": {"retries": 0}},
)
created = db.create_function(normalize_score)
assert created.name == "normalize_score"
assert created.version == "fv_exact"
assert [path for path, _ in state["requests"]] == [
"/v1/functions/create",
"/v1/jobs/describe",
]