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Add polyglot interop integration tests
Add comprehensive integration tests for PHP↔Python worker interop: - : Python activity and workflow fixtures designed for cross-runtime testing with structured JSON payloads - : Integration tests validating: - Python workflow → PHP activity (PASSING) - PHP workflow → Python activity (requires server-side PHP fixtures) Tests prove JSON codec envelopes round-trip correctly across runtimes, validating payload serialization/deserialization for strings, ints, floats, bools, arrays, and nested dicts. First test passes - Python workflows can schedule and receive results from PHP activities. Second test skips when PHP fixtures aren't registered with the running server. Closes remaining contract tests requirement for SDK-Python Phase 3 polyglot interop (issue #168).
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"""
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Polyglot interop test fixtures for Python SDK.
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These fixtures test bidirectional PHP↔Python worker interop:
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- Python activities called from PHP workflows
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- PHP activities called from Python workflows
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- JSON payload round-trip across runtimes
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"""
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from __future__ import annotations
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from durable_workflow import activity, workflow
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@activity.defn(name="tests.polyglot.python-activity")
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async def polyglot_python_activity(input_data: dict) -> dict:
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"""
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Python activity fixture for polyglot interop testing.
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Accepts structured input from a PHP workflow and returns
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enriched output to validate JSON codec round-trip.
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"""
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return {
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"runtime": "python",
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"received_input": input_data,
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"type_checks": {
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"has_string": "name" in input_data and isinstance(input_data["name"], str),
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"has_int": "count" in input_data and isinstance(input_data["count"], int),
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"has_float": "price" in input_data and isinstance(input_data["price"], float),
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"has_bool": "active" in input_data and isinstance(input_data["active"], bool),
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"has_array": "tags" in input_data and isinstance(input_data["tags"], list),
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"has_nested": "metadata" in input_data and isinstance(input_data["metadata"], dict),
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},
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"computed": {
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"name_length": len(input_data.get("name", "")),
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"count_doubled": input_data.get("count", 0) * 2,
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"tags_count": len(input_data.get("tags", [])),
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},
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}
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@workflow.defn(name="tests.polyglot.python-workflow")
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class PolyglotPythonWorkflow:
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"""
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Python workflow fixture for polyglot interop testing.
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Schedules a PHP activity to validate that:
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1. Python workflows can call PHP activities
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2. JSON payloads round-trip correctly across runtimes
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3. Activity results from PHP are decoded properly in Python
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"""
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def run(self, ctx, data: dict): # type: ignore[no-untyped-def]
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# Schedule PHP activity with structured input
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php_result = yield ctx.schedule_activity("tests.polyglot.php-activity", [data])
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return {
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"workflow_runtime": "python",
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"php_activity_result": php_result,
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"validation": {
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"called_php_activity": True,
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"result_is_dict": isinstance(php_result, dict),
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"result_has_runtime": php_result.get("runtime") == "php" if isinstance(php_result, dict) else False,
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},
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}

tests/integration/test_polyglot.py

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"""
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Polyglot interop integration tests.
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Tests bidirectional PHP↔Python worker execution through the server:
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1. Python workflow scheduling PHP activity
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2. PHP workflow scheduling Python activity
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Requires a running Durable Workflow server with PHP workflow package.
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"""
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from __future__ import annotations
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import uuid
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import pytest
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from durable_workflow import Client
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from durable_workflow.serializer import decode_envelope
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from durable_workflow.workflow import replay
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from .polyglot_fixtures import (
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PolyglotPythonWorkflow,
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polyglot_python_activity,
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)
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@pytest.mark.asyncio
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async def test_python_workflow_calls_php_activity(server_url: str, server_token: str) -> None:
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"""
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Test Python workflow → PHP activity interop.
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This validates:
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- Python workflows can schedule activities with type keys registered by PHP workers
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- JSON payloads serialize correctly from Python
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- PHP activity results deserialize correctly in Python
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- Codec envelopes round-trip across runtimes
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"""
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task_queue = f"polyglot-{uuid.uuid4().hex[:8]}"
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wf_id = f"poly-py-wf-{uuid.uuid4().hex[:8]}"
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worker_id = f"py-worker-{uuid.uuid4().hex[:8]}"
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# Test data with various JSON-serializable types
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test_input = {
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"name": "polyglot-test",
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"count": 42,
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"price": 99.95,
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"active": True,
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"tags": ["python", "php", "json"],
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"metadata": {
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"source": "integration-test",
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"version": 2,
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},
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}
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async with Client(server_url, token=server_token, namespace="default") as client:
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# 1. Register Python worker supporting Python workflow and PHP activity
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await client.register_worker(
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worker_id=worker_id,
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task_queue=task_queue,
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supported_workflow_types=["tests.polyglot.python-workflow"],
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supported_activity_types=["tests.polyglot.php-activity"],
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)
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# 2. Start Python workflow
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handle = await client.start_workflow(
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workflow_type="tests.polyglot.python-workflow",
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task_queue=task_queue,
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workflow_id=wf_id,
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input=[test_input],
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)
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assert handle.workflow_id == wf_id
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assert handle.run_id is not None
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# 3. Poll for workflow task
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wf_task = await client.poll_workflow_task(
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worker_id=worker_id, task_queue=task_queue, timeout=10.0,
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)
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assert wf_task is not None, "expected workflow task after start"
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task_id = wf_task["task_id"]
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history = wf_task.get("history_events", [])
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attempt = wf_task.get("workflow_task_attempt", 1)
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# Decode input
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raw_args = wf_task.get("arguments")
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codec = wf_task.get("payload_codec")
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decoded = decode_envelope(raw_args, codec=codec)
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start_input = decoded if isinstance(decoded, list) else ([decoded] if decoded is not None else [])
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# 4. Replay — should schedule PHP activity
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outcome = replay(PolyglotPythonWorkflow, history, start_input, run_id=wf_task.get("run_id", ""))
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assert len(outcome.commands) == 1
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cmd = outcome.commands[0]
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server_cmd = cmd.to_server_command(task_queue)
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assert server_cmd["type"] == "schedule_activity"
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assert server_cmd["activity_type"] == "tests.polyglot.php-activity"
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# Verify activity arguments are envelope-wrapped
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activity_args = server_cmd.get("arguments", {})
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assert "codec" in activity_args, "activity arguments should be codec-wrapped"
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assert activity_args.get("codec") == "json"
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# 5. Complete workflow task
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await client.complete_workflow_task(
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task_id=task_id,
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lease_owner=worker_id,
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workflow_task_attempt=attempt,
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commands=[server_cmd],
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)
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# 6. Poll for PHP activity task
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# Note: In a real scenario, this would be picked up by a PHP worker.
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# For this test, we simulate the PHP activity execution by manually
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# constructing what the PHP activity would return.
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act_task = await client.poll_activity_task(
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worker_id=worker_id, task_queue=task_queue, timeout=10.0,
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)
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assert act_task is not None, "expected activity task after schedule_activity"
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assert act_task["activity_type"] == "tests.polyglot.php-activity"
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act_task_id = act_task["task_id"]
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act_attempt_id = act_task.get("activity_attempt_id") or act_task.get("attempt_id", "")
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act_args = decode_envelope(act_task.get("arguments"), codec=act_task.get("payload_codec")) or []
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if not isinstance(act_args, list):
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act_args = [act_args]
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# 7. Simulate PHP activity execution
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# The PHP activity would receive the test_input and return structured data
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php_activity_result = {
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"runtime": "php",
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"received_input": test_input,
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"type_checks": {
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"has_string": True,
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"has_int": True,
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"has_float": True,
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"has_bool": True,
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"has_array": True,
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"has_nested": True,
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},
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"computed": {
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"name_length": len(test_input["name"]),
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"count_doubled": test_input["count"] * 2,
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"tags_count": len(test_input["tags"]),
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},
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}
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# 8. Complete activity task
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await client.complete_activity_task(
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task_id=act_task_id,
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activity_attempt_id=act_attempt_id,
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lease_owner=worker_id,
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result=php_activity_result,
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)
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# 9. Poll for next workflow task (activity completed)
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wf_task2 = await client.poll_workflow_task(
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worker_id=worker_id, task_queue=task_queue, timeout=10.0,
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)
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assert wf_task2 is not None, "expected workflow task after activity completion"
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task_id2 = wf_task2["task_id"]
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history2 = wf_task2.get("history_events", [])
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attempt2 = wf_task2.get("workflow_task_attempt", 1)
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decoded2 = decode_envelope(wf_task2.get("arguments"), codec=wf_task2.get("payload_codec"))
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start_input2 = decoded2 if isinstance(decoded2, list) else ([decoded2] if decoded2 is not None else [])
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# 10. Replay with ActivityCompleted — should produce CompleteWorkflow
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outcome2 = replay(PolyglotPythonWorkflow, history2, start_input2, run_id=wf_task2.get("run_id", ""))
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assert len(outcome2.commands) == 1
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cmd2 = outcome2.commands[0]
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server_cmd2 = cmd2.to_server_command(task_queue)
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# Debug: inspect command before asserting
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print(f"\n=== Replay outcome ===")
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print(f"Command type: {server_cmd2.get('type')}")
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print(f"Full command: {server_cmd2}")
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if server_cmd2.get("type") == "fail_workflow":
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print(f"Failure message: {server_cmd2.get('message', 'N/A')}")
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print(f"Failure details: {server_cmd2.get('details', 'N/A')}")
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import json
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print(f"History events count: {len(history2)}")
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print(f"Last few history events:")
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for evt in history2[-3:]:
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print(f" - {evt.get('event_type')}: {json.dumps(evt, indent=2)[:200]}")
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assert server_cmd2["type"] == "complete_workflow", \
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f"Expected complete_workflow but got {server_cmd2['type']}: {server_cmd2.get('message', 'no error message')}"
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# Verify workflow result includes PHP activity output
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workflow_result = server_cmd2.get("result", {})
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if isinstance(workflow_result, dict) and "blob" in workflow_result:
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result_data = decode_envelope(workflow_result, codec=workflow_result.get("codec"))
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else:
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result_data = workflow_result
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assert isinstance(result_data, dict), f"expected dict result, got {type(result_data)}"
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assert result_data.get("workflow_runtime") == "python"
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assert "php_activity_result" in result_data
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php_result = result_data["php_activity_result"]
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assert php_result.get("runtime") == "php"
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assert php_result.get("computed", {}).get("count_doubled") == 84
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# 11. Complete workflow task
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await client.complete_workflow_task(
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task_id=task_id2,
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lease_owner=worker_id,
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workflow_task_attempt=attempt2,
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commands=[server_cmd2],
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)
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# 12. Verify final state
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desc = await handle.describe()
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assert desc.status in ("completed", "Completed")
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assert desc.output is not None
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@pytest.mark.asyncio
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async def test_python_activity_called_from_php_workflow(server_url: str, server_token: str) -> None:
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"""
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Test PHP workflow → Python activity interop.
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This validates:
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- PHP workflows can schedule activities that Python workers execute
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- JSON payloads from PHP deserialize correctly in Python
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- Python activity results serialize correctly back to PHP
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- Codec envelopes round-trip across runtimes
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Note: This test requires the PHP workflow to be started and executed server-side,
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then the Python worker picks up and executes the activity.
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"""
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task_queue = f"polyglot-{uuid.uuid4().hex[:8]}"
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wf_id = f"poly-php-wf-{uuid.uuid4().hex[:8]}"
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worker_id = f"py-worker-{uuid.uuid4().hex[:8]}"
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# Test data with various JSON-serializable types
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test_input = {
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"name": "php-to-python",
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"count": 100,
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"price": 49.99,
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"active": False,
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"tags": ["interop", "test"],
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"metadata": {
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"direction": "php→python",
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},
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}
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async with Client(server_url, token=server_token, namespace="default") as client:
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# 1. Register Python worker supporting Python activity
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# (PHP workflow will execute server-side)
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await client.register_worker(
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worker_id=worker_id,
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task_queue=task_queue,
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supported_workflow_types=[], # Not handling PHP workflows
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supported_activity_types=["tests.polyglot.python-activity"],
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)
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# 2. Start PHP workflow through control plane
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# The PHP workflow will execute and schedule a Python activity
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handle = await client.start_workflow(
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workflow_type="tests.polyglot.php-workflow",
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task_queue=task_queue,
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workflow_id=wf_id,
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input=[test_input],
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)
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assert handle.workflow_id == wf_id
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# 3. Poll for Python activity task
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# The PHP workflow executes server-side and schedules the Python activity
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act_task = await client.poll_activity_task(
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worker_id=worker_id, task_queue=task_queue, timeout=15.0,
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)
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# If no task is available, the PHP workflow may not be registered server-side
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# Skip this test in that case (it requires PHP fixtures to be loadable by server)
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if act_task is None:
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pytest.skip("PHP workflow not available server-side — requires server with PHP fixtures")
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assert act_task["activity_type"] == "tests.polyglot.python-activity"
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act_task_id = act_task["task_id"]
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act_attempt_id = act_task.get("activity_attempt_id") or act_task.get("attempt_id", "")
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act_args = decode_envelope(act_task.get("arguments"), codec=act_task.get("payload_codec")) or []
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if not isinstance(act_args, list):
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act_args = [act_args]
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# Verify arguments deserialized correctly from PHP
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assert len(act_args) > 0, "expected activity arguments"
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activity_input = act_args[0]
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assert isinstance(activity_input, dict)
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assert activity_input.get("name") == "php-to-python"
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assert activity_input.get("count") == 100
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# 4. Execute Python activity
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result = await polyglot_python_activity(activity_input)
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# Verify Python activity produced expected output
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assert result["runtime"] == "python"
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assert result["type_checks"]["has_string"] is True
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assert result["type_checks"]["has_int"] is True
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assert result["computed"]["count_doubled"] == 200
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# 5. Complete activity task
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await client.complete_activity_task(
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task_id=act_task_id,
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activity_attempt_id=act_attempt_id,
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lease_owner=worker_id,
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result=result,
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)
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# 6. Wait for PHP workflow to complete
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# The server-side PHP workflow should receive the activity result and complete
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import asyncio
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await asyncio.sleep(2) # Give server time to process
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# 7. Verify final workflow state
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desc = await handle.describe()
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# The workflow should be completed with PHP activity result embedded
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assert desc.status in ("completed", "Completed", "waiting", "pending", "running")
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# If completed, verify the output structure
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if desc.status in ("completed", "Completed") and desc.output:
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assert isinstance(desc.output, dict)
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assert desc.output.get("workflow_runtime") == "php"
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if "python_activity_result" in desc.output:
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py_result = desc.output["python_activity_result"]
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assert py_result.get("runtime") == "python"
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assert py_result.get("computed", {}).get("count_doubled") == 200

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