Mirrors the .NET / Go ports of divergent branch commit f220908. HEAD's
Session class had only the subscribe-style bulks; this commit adds the
value-bulk SDK surface plus matching CLI subcommands and a
bench-read-bulk harness.
SDK (zb_mom_ww_mxgateway/session.py):
- async def write_bulk(server_handle, entries, *, correlation_id="")
→ list[pb.BulkWriteResult]
- async def write2_bulk(server_handle, entries, *, correlation_id="")
→ list[pb.BulkWriteResult]
- async def write_secured_bulk(server_handle, entries, *, correlation_id="")
→ list[pb.BulkWriteResult]
- async def write_secured2_bulk(server_handle, entries, *, correlation_id="")
→ list[pb.BulkWriteResult]
- async def read_bulk(server_handle, tag_addresses, *, timeout_ms=0,
correlation_id="") → list[pb.BulkReadResult]
All five reuse the existing _ensure_bulk_size validator and route
through the existing invoke() pipeline. read_bulk additionally enforces
timeout_ms >= 0.
CLI (zb_mom_ww_mxgateway_cli/commands.py):
- read-bulk / write-bulk / write2-bulk / write-secured-bulk /
write-secured2-bulk registered as click @main.command(...). The
write families share a _build_write_bulk_entries() helper that parses
--item-handles and --values with a single --type, validates count
match, converts via to_mx_value, and assembles the correct per-entry
proto message.
- bench-read-bulk: opens its own session, subscribes to --bulk-size
TestMachine_NNN.TestChangingInt tags, runs warmup then steady-state
ReadBulk for --duration-seconds with time.perf_counter() latency
capture, and emits the shared JSON schema (language, durationMs,
totalCalls, successfulCalls, failedCalls, totalReadResults,
cachedReadResults, callsPerSecond, latencyMs:{p50,p95,p99,max,mean})
so scripts/bench-read-bulk.ps1 collates Python alongside the four
other clients. _percentile_summary + linear-interpolation
_percentile helper match the Go / .NET implementations.
to_mx_value is added to the existing values-module import line in
commands.py since the bulk-write commands need it.
Verification: python -m pip install -e . --quiet --no-deps; pytest
42/42 passing. Manual smoke against live gateway on localhost:5120:
open-session → register → subscribe-bulk on two
TestMachine_NNN.TestChangingInt tags (both wasSuccessful=true) →
read-bulk (both wasSuccessful=true / wasCached=true / int32 values
present) → close-session SESSION_STATE_CLOSED.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Python Client
The Python client package contains generated MXAccess Gateway protobuf
bindings, the async zb_mom_ww_mxgateway package, and the mxgw-py test CLI. The
package uses the shared proto inputs documented in
../../docs/ClientProtoGeneration.md so gateway and client contracts stay in
sync.
Layout
clients/python/
pyproject.toml
generate-proto.ps1
src/zb_mom_ww_mxgateway/
src/zb_mom_ww_mxgateway/generated/
src/zb_mom_ww_mxgateway_cli/
tests/
src/zb_mom_ww_mxgateway/generated contains code produced by grpc_tools.protoc. Do not
edit generated files by hand.
Regenerating Protobuf Bindings
Run generation after the shared .proto files or the Python output path
changes:
./generate-proto.ps1
The script uses the Python tool path recorded in
../../docs/ToolchainLinks.md.
Build And Test
Run the Python checks from clients/python:
python -m pip install -e ".[dev]"
python -m pytest
python -m pip wheel . --no-deps --wheel-dir "$env:TEMP\mxgateway-python-wheel"
The tests import the generated gateway and worker stubs, run fake async gateway stubs, verify API key metadata, exercise stream cancellation, load shared value and command fixtures, and check deterministic CLI output.
Packaging
Install the package in editable mode for local development:
python -m pip install -e ".[dev]"
Build a wheel from clients/python:
python -m pip wheel . --no-deps --wheel-dir "$env:TEMP\mxgateway-python-wheel"
Install the generated wheel into a target environment:
python -m pip install <wheel-path>
The wheel exposes the mxgw-py console script.
Library Usage
The library is async-first:
from zb_mom_ww_mxgateway import GatewayClient
async with await GatewayClient.connect(
endpoint="localhost:5000",
api_key="<gateway-api-key>",
plaintext=True,
) as client:
session = await client.open_session(client_session_name="python-client")
try:
server_handle = await session.register("python-client")
item_handle = await session.add_item(server_handle, "Object.Attribute")
await session.advise(server_handle, item_handle)
finally:
await session.close()
GatewayClient.open_session_raw, GatewayClient.invoke_raw, and
GatewayClient.stream_events_raw keep the generated protobuf replies and
events available for parity tests. Session helpers call the method-specific
MXAccess commands and preserve raw replies on typed command exceptions.
Canceling a Python task cancels the client-side gRPC call or stream wait. It does not abort an in-flight MXAccess COM call inside the worker process.
Galaxy Repository Browse
The GalaxyRepositoryClient wraps the read-only GalaxyRepository gRPC
service. It lets callers test connectivity to the AVEVA System Platform
Galaxy Repository (ZB SQL database), read the last deploy timestamp, and
enumerate the deployed object hierarchy plus each object's dynamic
attributes:
from zb_mom_ww_mxgateway import GalaxyRepositoryClient
async with await GalaxyRepositoryClient.connect(
endpoint="localhost:5000",
api_key="<gateway-api-key>",
plaintext=True,
) as galaxy:
if not await galaxy.test_connection():
raise RuntimeError("gateway cannot reach the Galaxy Repository DB")
last_deploy = await galaxy.get_last_deploy_time()
print(f"last deploy: {last_deploy}")
for obj in await galaxy.discover_hierarchy():
print(obj.tag_name, obj.contained_name)
for attr in obj.attributes:
print(" ", attr.attribute_name, "->", attr.full_tag_reference)
The methods return native Python types (bool, datetime | None, and a
list[GalaxyObject] of generated proto messages) so callers can index
into the hierarchy without learning the underlying stub class. The
service requires the metadata:read scope on the API key.
Watching deploy events
GalaxyRepositoryClient.watch_deploy_events opens a server-streaming
subscription that emits the current cached deploy state immediately and
then one DeployEvent per new Galaxy deploy. sequence is monotonic per
gateway start; gaps mean events were dropped from the per-subscriber
buffer. Pass last_seen_deploy_time to suppress the bootstrap event when
the caller already has the current state cached:
from datetime import datetime, timezone
from zb_mom_ww_mxgateway import DeployEvent, GalaxyRepositoryClient
async with await GalaxyRepositoryClient.connect(
endpoint="localhost:5000",
api_key="<gateway-api-key>",
plaintext=True,
) as galaxy:
last_seen: datetime | None = None
async for event in galaxy.watch_deploy_events(last_seen_deploy_time=last_seen):
assert isinstance(event, DeployEvent)
print(
f"#{event.sequence} deploy={event.time_of_last_deploy.ToDatetime(tzinfo=timezone.utc)} "
f"objects={event.object_count} attributes={event.attribute_count}"
)
if event.time_of_last_deploy_present:
last_seen = event.time_of_last_deploy.ToDatetime(tzinfo=timezone.utc)
The method returns an async iterator yielding the generated DeployEvent
proto. Breaking out of the loop, calling aclose() on the iterator, or
cancelling the surrounding task closes the underlying gRPC stream
cleanly. The streaming RPC requires the same metadata:read scope as
the other Galaxy methods. The CLI does not currently expose a
streaming watch-deploy-events subcommand — use the library API
directly when subscribing to deploy events from Python.
Authentication And TLS
ClientOptions.api_key adds this metadata to unary calls and streams:
authorization: Bearer <api-key>
The client supports plaintext channels for local development, TLS with system
roots, TLS with a custom ca_file, and an optional test server name override.
API keys are redacted from option repr output and CLI error output.
CLI
The CLI emits deterministic JSON for automation:
mxgw-py version --json
mxgw-py open-session --endpoint localhost:5000 --plaintext --json
mxgw-py register --session-id <id> --client-name python-client --json
mxgw-py add-item --session-id <id> --server-handle 1 --item Object.Attribute --json
mxgw-py advise --session-id <id> --server-handle 1 --item-handle 2 --json
mxgw-py stream-events --session-id <id> --max-events 1 --json
mxgw-py write --session-id <id> --server-handle 1 --item-handle 2 --type int32 --value 123 --json
Use --api-key or --api-key-env MXGATEWAY_API_KEY to attach API key
metadata. smoke opens a session, registers, adds an item, advises, streams a
bounded event count, and closes the session in a finally block.
Use TLS options for a secured gateway:
mxgw-py smoke --endpoint mxgateway.example.local:5001 --tls --ca-file C:\certs\mxgateway-ca.pem --server-name-override mxgateway.example.local --api-key-env MXGATEWAY_API_KEY --item Object.Attribute --json
Integration Checks
Run live checks only when a gateway and MXAccess-backed worker are available:
$env:MXGATEWAY_INTEGRATION = '1'
$env:MXGATEWAY_ENDPOINT = 'localhost:5000'
$env:MXGATEWAY_API_KEY = '<gateway-api-key>'
$env:MXGATEWAY_TEST_ITEM = 'Object.Attribute'
mxgw-py smoke --endpoint $env:MXGATEWAY_ENDPOINT --plaintext --api-key-env MXGATEWAY_API_KEY --item $env:MXGATEWAY_TEST_ITEM --json