Files
Eduard van Valkenburg 6e95517659 Python: Split type checkers by target (pyright source, 5 checkers on tests/samples) (#6443)
* Python: Split type checkers by target (pyright source, 5 checkers on tests/samples)

Rework the typing setup along the lines of the 'too many type checkers'
approach:

- Pyright (strict) is now the sole source-code type checker; mypy is
  removed from source and its [tool.mypy] block becomes a relaxed profile
  used only for tests/samples.
- Tests are checked by all five checkers (pyright relaxed, mypy, pyrefly,
  ty, zuban); samples by pyright, pyrefly, and ty. All run in a relaxed/
  basic profile so authors aren't forced into over-annotation.
- Add pyrightconfig.tests.json and bump sample pyright configs to basic.
- Unify test/sample typing onto the same parallel fan-out used by source
  pyright via run_command_items in task_runner.py.
- Make version-conditional imports symmetric: keep or drop the
  '# type: ignore' on both branches so results match across interpreter
  versions (local vs CI).
- Update SKILL.md, DEV_SETUP.md, and CODING_STANDARD.md for the five
  gating checkers and pyright on source+tests+samples.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Python: Fix merge regressions from main (typing + runtime)

Merging main into the type-checker split branch surfaced regressions that
the new five-checker test suite and unit tests caught:

Runtime fixes:
- anthropic: restore the dropped `cache_read_input_token_count` mapping in
  _parse_usage_from_anthropic (lost during merge conflict resolution).
- gemini: _get_function_calling_mode test helper returned str(enum)
  ('FunctionCallingConfigMode.AUTO') instead of the enum value ('AUTO').
- openai: _response_id_from_token test helper was an infinite self-recursion;
  return token['response_id'].
- orchestrations: reset output_events per approval iteration so the terminal
  output assertion counts only the final run.
- core: drop a stale duplicate harness test whose message ('non-negative')
  contradicted the source ('positive').
- purview: import PolicyLocation/PolicyScope/ProtectionScopeActivities/
  ExecutionMode used by the processor tests.

Type-checker fixes (tests, relaxed profile):
- core: pyright/mypy/pyrefly/ty/zuban green-ups across the harness, MCP,
  observability and types tests.
- anthropic/openai: route provider-namespaced UsageDetails keys through a
  dict cast (extra_items TypedDict unsupported by mypy/ty).
- purview: typed model constructors and cache-mock casts.
- ag-ui: annotate WorkflowContext[Any, Any] so yield_output accepts test
  payloads, guard Optional forwarded_props, and ty-ignore intentional bad args.

Source pyright (sole source checker) flagged unnecessary ignores newly
introduced by merged code in core _tools.py and declarative _declarative_base.py.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Python: Isolate per-package mypy cache in test-typing fan-out

The parallel test-typing fan-out runs many mypy processes concurrently,
all defaulting to a single shared ./.mypy_cache. Concurrent writes corrupt
the cache and mypy aborts with INTERNAL ERROR (intermittently, depending on
worker timing) -- which is why CI's Test Typing job failed on a shifting set
of packages while a single-package run was fine.

Give each mypy invocation an isolated cache dir keyed by its target paths so
incremental caching still works per package without races. Other checkers
(zuban/pyrefly/ty/pyright) maintain their own caches and are unaffected.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Python: Make lab pyright-only on source (drop source mypy)

Lab was the last package still running mypy on its source code, requiring
mypy-only `# type: ignore` comments that pyright (the sole source checker
everywhere else) flags as unnecessary. Align lab with the rest of the
monorepo:

- Remove the lab source mypy poe tasks (mypy-gaia/lightning/tau2) and the
  now-dead strict [tool.mypy] config block.
- Drop the 'Run lab mypy' CI step; lab source is type-checked by pyright only.

Lab tests remain covered by the workspace test-typing fan-out (mypy, pyrefly,
ty, zuban, pyright over tests using the relaxed root config).

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Python: Fix test-typing regressions from latest main merge

A fresh merge from main brought in new test code never run under the
five-checker test-typing suite. Green up across the affected packages:

- core: narrow Optional span.attributes with 'and' guards in span filters
  and assert+cast the json.loads(...attributes[...]) reads (test_observability);
  match the existing as_agent ignore on the protocol-typed fixture (test_clients).
- openai: align new streaming tests with the established chat_options dict
  pattern (ChatOptions TypedDict isn't assignable to dict), route Optional
  .annotations[0] access through a small _first_annotation helper (mirrors the
  file's assert-not-None convention), and annotate a mapped ResponseStream.
- foundry_hosting: annotate error: dict[str, Any] = body.get(...) or {}
  (zuban needs the annotation).
- foundry: narrow ignores for the live AIProjectClient credential arg (pyrefly)
  and connections.get_default (zuban) SDK type gaps.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* updated pyright version

* pyright fix

* Python: Fix source typing for pyright 1.1.410

Pyright 1.1.410 tightened several checks. Apply the same source fixes as
upstream PR #6275:

- anthropic: import AsyncAnthropicBedrock from anthropic.lib.bedrock and
  AsyncAnthropicVertex from anthropic.lib.vertex (no longer re-exported from
  the anthropic top-level package -> reportPrivateImportUsage).
- core _types.py: cast the transform-hook result to UpdateT (reportAssignmentType).
- core _workflows/_events.py: annotate the @contextmanager helper as
  Generator[None] instead of Iterator[None] (reportDeprecated).
- redis: build the combined filter expression with an explicit loop instead of
  reduce(and_, ...), which pyright could no longer fully type (drops the now
  unused functools.reduce / operator.and_ imports).

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Python: Accept plain-text body in Azure Functions workflow/run endpoint

The workflow_orchestrator already accepts plain strings as well as JSON
objects via context.get_input(), but the start_workflow_orchestration HTTP
handler only accepted JSON and returned 400 for any non-JSON body. This made
the functions integration tests that POST text/plain to /api/workflow/run
(e.g. test_09_workflow_shared_state) fail consistently with 400 != 202.

Fall back to the raw request body (decoded as UTF-8) when the body is not
JSON, rejecting only a truly empty body. The JSON path is unchanged.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-18 15:06:20 +00:00

127 lines
4.0 KiB
Python

# Copyright (c) Microsoft. All rights reserved.
import asyncio
import os
from typing import cast
import httpx
from a2a.client import A2ACardResolver
from agent_framework.a2a import A2AAgent
from agent_framework_a2a import A2AContinuationToken
from dotenv import load_dotenv
load_dotenv()
"""
A2A Stream Reconnection
This sample demonstrates how to reconnect to an interrupted A2A stream
using a continuation token. When streaming a long-running task, you can
capture the continuation token from any update and use it to resume the
stream later if the connection is lost.
Key concepts demonstrated:
- Streaming an A2A response with `stream=True`
- Capturing continuation tokens from in-progress updates
- Simulating a stream interruption (break)
- Resuming the stream with `run(continuation_token=..., stream=True)`
This is the A2A equivalent of the .NET A2AAgent_StreamReconnection sample.
Prerequisites:
- Set A2A_AGENT_HOST to the URL of a running A2A server
To run this sample:
cd python/samples/02-agents/a2a
uv run python a2a_stream_reconnection.py
"""
async def main() -> None:
"""Demonstrates reconnecting to an interrupted A2A stream."""
a2a_agent_host = os.getenv("A2A_AGENT_HOST")
if not a2a_agent_host:
raise ValueError("A2A_AGENT_HOST environment variable is not set")
# 1. Resolve agent card and create agent.
async with httpx.AsyncClient(timeout=60.0) as http_client:
resolver = A2ACardResolver(httpx_client=http_client, base_url=a2a_agent_host)
agent_card = await resolver.get_agent_card()
async with A2AAgent(
name=agent_card.name,
agent_card=agent_card,
url=a2a_agent_host,
) as agent:
# 2. Start a streaming background task.
print("Starting streaming task...")
stream = agent.run(
"Write a long essay about the history of artificial intelligence",
stream=True,
background=True,
)
# 3. Read a few updates, capture the continuation token, then "disconnect".
saved_token = None
update_count = 0
async for update in stream:
update_count += 1
if update.continuation_token:
saved_token = update.continuation_token
for content in update.contents:
if content.text:
print(content.text, end="", flush=True)
# Simulate a disconnect after receiving 3 updates.
if update_count >= 3:
print("\n\n--- Connection interrupted! ---\n")
break
if saved_token is None:
print("No continuation token received — task may have completed before interruption.")
return
# 4. Reconnect using the saved continuation token.
# background=True is required so that in-progress task updates
# surface continuation tokens (matching the A2AAgent contract).
print("Reconnecting with continuation token...")
resumed_stream = agent.run(
continuation_token=cast(A2AContinuationToken, saved_token),
stream=True,
background=True,
)
# 5. Continue receiving updates from where we left off.
async for update in resumed_stream:
update_count += 1
for content in update.contents:
if content.text:
print(content.text, end="", flush=True)
print() # newline after streaming completes
response = await resumed_stream.get_final_response()
print(f"\nStream completed. Total updates: {update_count}")
print(f"Final response: {len(response.messages)} message(s)")
if __name__ == "__main__":
asyncio.run(main())
"""
Sample output:
Starting streaming task...
Policy:
--- Connection interrupted! ---
Reconnecting with continuation token (task_id=task-abc123)...
Short Shipment Dispute Handling Policy V2.1
Summary: "For short shipments reported by customers, first verify internal..."
Stream completed. Total updates: 106
Final response: 103 message(s)
"""