mirror of
https://github.com/openai/codex.git
synced 2026-05-18 02:02:30 +00:00
[8/8] Add Python SDK Ruff formatting (#22021)
## Why The Python SDK needs the same tight formatter/lint loop as the rest of the repo: a safe Ruff autofix pass, Ruff formatting, editor save behavior, and CI checks that catch drift. Without that loop, SDK changes can land with formatting or import ordering that differs from what reviewers and CI expect. ## What - Add Ruff configuration to `sdk/python/pyproject.toml`, excluding generated protocol code and notebooks from the normal lint/format pass. - Update `just fmt` so it still formats Rust and also runs Python SDK Ruff autofix and formatting. - Add Python SDK CI steps for `ruff check` and `ruff format --check` before pytest. - Recommend the Ruff VS Code extension and enable Python format/fix/organize-on-save so Cmd+S uses the same tooling. - Apply the resulting Ruff formatting to SDK Python files, examples, and the checked-in generated `v2_all.py` output emitted by the pinned generator. - Add a guard test for the `just fmt` recipe so it keeps working from both Rust and Python SDK working directories. ## Stack 1. #21891 `[1/8]` Pin Python SDK runtime dependency 2. #21893 `[2/8]` Generate Python SDK types from pinned runtime 3. #21895 `[3/8]` Run Python SDK tests in CI 4. #21896 `[4/8]` Define Python SDK public API surface 5. #21905 `[5/8]` Rename Python SDK package to `openai-codex` 6. #21910 `[6/8]` Add high-level Python SDK approval mode 7. #22014 `[7/8]` Add Python SDK app-server integration harness 8. This PR `[8/8]` Add Python SDK Ruff formatting ## Verification - Added `test_root_fmt_recipe_formats_rust_and_python_sdk` for the shared format recipe. - Ran `just fmt` after the recipe update. --------- Co-authored-by: Codex <noreply@openai.com>
This commit is contained in:
@@ -12,7 +12,6 @@ from typing import Any
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from openai_codex import AppServerConfig
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Json = dict[str, Any]
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@@ -11,6 +11,7 @@ from app_server_harness import (
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ev_response_created,
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sse,
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)
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from openai_codex.generated.v2_all import (
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AgentMessageDeltaNotification,
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ItemCompletedNotification,
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@@ -3,9 +3,10 @@ from __future__ import annotations
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import asyncio
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from app_server_harness import AppServerHarness
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from app_server_helpers import response_approval_policy
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from openai_codex import ApprovalMode, AsyncCodex, Codex
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from openai_codex.generated.v2_all import AskForApprovalValue, ThreadResumeParams
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from app_server_helpers import response_approval_policy
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def test_thread_resume_inherits_deny_all_approval_mode(tmp_path) -> None:
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@@ -1,9 +1,10 @@
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from __future__ import annotations
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from app_server_harness import AppServerHarness
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from openai_codex import Codex, ImageInput, LocalImageInput, SkillInput, TextInput
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from app_server_helpers import TINY_PNG_BYTES
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from openai_codex import Codex, ImageInput, LocalImageInput, SkillInput, TextInput
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def test_remote_image_input_reaches_responses_api(
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tmp_path,
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@@ -28,8 +29,7 @@ def test_remote_image_input_reaches_responses_api(
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assert {
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"final_response": result.final_response,
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"contains_user_prompt": "Describe the remote image."
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in request.message_input_texts("user"),
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"contains_user_prompt": "Describe the remote image." in request.message_input_texts("user"),
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"image_urls": request.message_image_urls("user"),
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} == {
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"final_response": "remote image received",
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@@ -62,8 +62,7 @@ def test_local_image_input_reaches_responses_api(
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assert {
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"final_response": result.final_response,
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"contains_user_prompt": "Describe the local image."
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in request.message_input_texts("user"),
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"contains_user_prompt": "Describe the local image." in request.message_input_texts("user"),
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"image_url_is_png_data_url": request.message_image_urls("user")[-1].startswith(
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"data:image/png;base64,"
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),
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@@ -81,9 +80,7 @@ def test_skill_input_injects_loaded_skill_body(tmp_path) -> None:
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with AppServerHarness(tmp_path) as harness:
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skill_file = harness.workspace / ".agents" / "skills" / "demo" / "SKILL.md"
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skill_file.parent.mkdir(parents=True)
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skill_file.write_text(
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f"---\nname: demo\ndescription: demo skill\n---\n\n{skill_body}\n"
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)
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skill_file.write_text(f"---\nname: demo\ndescription: demo skill\n---\n\n{skill_body}\n")
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skill_path = skill_file.resolve()
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harness.responses.enqueue_assistant_message(
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"skill received",
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@@ -100,9 +97,7 @@ def test_skill_input_injects_loaded_skill_body(tmp_path) -> None:
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request = harness.responses.single_request()
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skill_blocks = [
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text
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for text in request.message_input_texts("user")
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if text.startswith("<skill>")
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text for text in request.message_input_texts("user") if text.startswith("<skill>")
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]
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assert {
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"final_response": result.final_response,
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@@ -3,9 +3,10 @@ from __future__ import annotations
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import asyncio
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from app_server_harness import AppServerHarness
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from openai_codex import AsyncCodex, Codex
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from app_server_helpers import request_kind
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from openai_codex import AsyncCodex, Codex
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def _thread_message_summary(read_response) -> list[tuple[str, str]]:
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"""Return persisted user/agent messages from a thread read response."""
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@@ -58,9 +59,7 @@ def test_thread_list_filters_archived_threads(tmp_path) -> None:
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expected_ids = {active_thread.id, archived_thread.id}
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assert {
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"active_ids": sorted(
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thread.id for thread in active_list.data if thread.id in expected_ids
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),
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"active_ids": sorted(thread.id for thread in active_list.data if thread.id in expected_ids),
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"archived_ids": sorted(
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thread.id for thread in archived_list.data if thread.id in expected_ids
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),
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@@ -3,7 +3,6 @@ from __future__ import annotations
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import asyncio
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import pytest
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from app_server_harness import (
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AppServerHarness,
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ev_assistant_message,
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@@ -13,13 +12,14 @@ from app_server_harness import (
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ev_response_created,
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sse,
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)
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from openai_codex import AsyncCodex, Codex
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from openai_codex.generated.v2_all import MessagePhase
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from app_server_helpers import (
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agent_message_texts_from_items,
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assistant_message_with_phase,
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)
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from openai_codex import AsyncCodex, Codex
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from openai_codex.generated.v2_all import MessagePhase
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def test_sync_thread_run_uses_mock_responses(
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tmp_path,
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@@ -250,9 +250,7 @@ def test_async_run_result_uses_last_unknown_phase_message(tmp_path) -> None:
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)
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async with AsyncCodex(config=harness.app_server_config()) as codex:
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result = await (await codex.thread_start()).run(
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"case: async last unknown phase"
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)
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result = await (await codex.thread_start()).run("case: async last unknown phase")
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assert {
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"final_response": result.final_response,
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@@ -288,9 +286,7 @@ def test_async_run_result_does_not_promote_commentary_only_to_final(
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)
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async with AsyncCodex(config=harness.app_server_config()) as codex:
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result = await (await codex.thread_start()).run(
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"case: async commentary only"
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)
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result = await (await codex.thread_start()).run("case: async commentary only")
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assert {
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"final_response": result.final_response,
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@@ -3,12 +3,6 @@ from __future__ import annotations
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import asyncio
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from app_server_harness import AppServerHarness
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from openai_codex import AsyncCodex, Codex, TextInput
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from openai_codex.generated.v2_all import (
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AgentMessageDeltaNotification,
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TurnCompletedNotification,
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TurnStatus,
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)
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from app_server_helpers import (
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agent_message_texts,
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next_async_delta,
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@@ -16,13 +10,18 @@ from app_server_helpers import (
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streaming_response,
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)
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from openai_codex import AsyncCodex, Codex, TextInput
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from openai_codex.generated.v2_all import (
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AgentMessageDeltaNotification,
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TurnCompletedNotification,
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TurnStatus,
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)
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def test_sync_stream_routes_text_deltas_and_completion(tmp_path) -> None:
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"""A sync turn stream should expose deltas, completed items, and completion."""
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with AppServerHarness(tmp_path) as harness:
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harness.responses.enqueue_sse(
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streaming_response("stream-1", "msg-stream-1", ["hel", "lo"])
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)
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harness.responses.enqueue_sse(streaming_response("stream-1", "msg-stream-1", ["he", "llo"]))
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with Codex(config=harness.app_server_config()) as codex:
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thread = codex.thread_start()
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@@ -42,7 +41,7 @@ def test_sync_stream_routes_text_deltas_and_completion(tmp_path) -> None:
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if isinstance(event.payload, TurnCompletedNotification)
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],
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} == {
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"deltas": ["hel", "lo"],
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"deltas": ["he", "llo"],
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"agent_messages": ["hello"],
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"completed_statuses": [TurnStatus.completed],
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}
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@@ -1,9 +1,10 @@
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from __future__ import annotations
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from app_server_harness import AppServerHarness
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from app_server_helpers import agent_message_texts, streaming_response
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from openai_codex import Codex, TextInput
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from openai_codex.generated.v2_all import TurnStatus
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from app_server_helpers import agent_message_texts, streaming_response
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def test_turn_steer_adds_follow_up_input(tmp_path) -> None:
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@@ -30,9 +31,7 @@ def test_turn_steer_adds_follow_up_input(tmp_path) -> None:
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"steered_turn_id": steer.turn_id,
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"turn_id": turn.id,
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"agent_messages": agent_message_texts(events),
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"last_user_texts": [
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request.message_input_texts("user")[-1] for request in requests
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],
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"last_user_texts": [request.message_input_texts("user")[-1] for request in requests],
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} == {
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"steered_turn_id": turn.id,
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"turn_id": turn.id,
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@@ -5,12 +5,12 @@ import importlib.util
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import io
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import json
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import sys
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import tomllib
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import urllib.error
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from pathlib import Path
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from typing import Sequence
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import pytest
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import tomllib
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ROOT = Path(__file__).resolve().parents[1]
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@@ -32,9 +32,7 @@ def _load_runtime_setup_module():
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runtime_setup_path = ROOT / "_runtime_setup.py"
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spec = importlib.util.spec_from_file_location("_runtime_setup", runtime_setup_path)
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if spec is None or spec.loader is None:
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raise AssertionError(
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f"Failed to load runtime setup module: {runtime_setup_path}"
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)
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raise AssertionError(f"Failed to load runtime setup module: {runtime_setup_path}")
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module = importlib.util.module_from_spec(spec)
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sys.modules[spec.name] = module
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spec.loader.exec_module(module)
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@@ -47,6 +45,40 @@ def test_generation_has_single_maintenance_entrypoint_script() -> None:
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assert scripts == ["update_sdk_artifacts.py"]
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def test_root_fmt_recipe_formats_rust_and_python_sdk() -> None:
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"""The repo fmt command should work from Rust and Python SDK directories."""
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justfile = ROOT.parents[1] / "justfile"
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lines = justfile.read_text().splitlines()
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fmt_index = lines.index("fmt:")
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next_recipe_index = next(
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index
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for index in range(fmt_index + 1, len(lines))
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if lines[index] and not lines[index].startswith((" ", "\t", "#"))
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)
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fmt_recipe = lines[fmt_index:next_recipe_index]
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actual = {
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"working_directory": lines[0],
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"previous_attribute": lines[fmt_index - 1],
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"commands": [line.strip() for line in fmt_recipe[1:] if line.strip()],
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}
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expected = {
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"working_directory": 'set working-directory := "codex-rs"',
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"previous_attribute": "# Format Rust and Python SDK code.",
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"commands": [
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"cargo fmt -- --config imports_granularity=Item 2>/dev/null",
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"uv run --project ../sdk/python --extra dev ruff check --fix --fix-only ../sdk/python",
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"uv run --project ../sdk/python --extra dev ruff format ../sdk/python",
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],
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}
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assert actual == expected, (
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"The root `just fmt` recipe must run Rust fmt and Python SDK Ruff. "
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"Fix the `fmt` recipe in `justfile`, then run `just fmt`.\n"
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f"Expected: {json.dumps(expected, indent=2)}\n"
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f"Actual: {json.dumps(actual, indent=2)}"
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)
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def test_generate_types_wires_all_generation_steps() -> None:
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"""The type generation command should refresh every schema-derived artifact."""
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source = (ROOT / "scripts" / "update_sdk_artifacts.py").read_text()
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@@ -56,8 +88,7 @@ def test_generate_types_wires_all_generation_steps() -> None:
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(
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node
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for node in tree.body
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if isinstance(node, ast.FunctionDef)
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and node.name == "generate_types_from_schema_dir"
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if isinstance(node, ast.FunctionDef) and node.name == "generate_types_from_schema_dir"
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),
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None,
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)
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@@ -94,8 +125,7 @@ def test_schema_normalization_only_flattens_string_literal_oneofs(
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flattened = [
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name
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for name, definition in definitions.items()
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if isinstance(definition, dict)
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and script._flatten_string_enum_one_of(definition.copy())
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if isinstance(definition, dict) and script._flatten_string_enum_one_of(definition.copy())
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]
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assert flattened == [
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@@ -172,8 +202,7 @@ def test_examples_readme_points_to_runtime_version_source_of_truth() -> None:
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def test_runtime_distribution_name_is_consistent() -> None:
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script = _load_update_script_module()
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runtime_setup = _load_runtime_setup_module()
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from openai_codex import client as client_module
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from openai_codex import _version
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from openai_codex import _version, client as client_module
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assert script.SDK_DISTRIBUTION_NAME == "openai-codex"
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assert runtime_setup.SDK_PACKAGE_NAME == "openai-codex"
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@@ -232,22 +261,6 @@ def test_release_metadata_retries_without_invalid_auth(
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assert authorizations == ["Bearer invalid-token", None]
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def test_source_sdk_package_pins_published_runtime() -> None:
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"""The source package metadata should pin the runtime wheel that ships schemas."""
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pyproject = tomllib.loads((ROOT / "pyproject.toml").read_text())
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assert {
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"sdk_version": pyproject["project"]["version"],
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"dependencies": pyproject["project"]["dependencies"],
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} == {
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"sdk_version": "0.131.0a4",
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"dependencies": [
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"pydantic>=2.12",
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"openai-codex-cli-bin==0.131.0a4",
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],
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}
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|
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def test_runtime_setup_uses_pep440_package_version_and_codex_release_tags() -> None:
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"""The SDK uses PEP 440 package pins and converts only when fetching releases."""
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runtime_setup = _load_runtime_setup_module()
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@@ -259,17 +272,12 @@ def test_runtime_setup_uses_pep440_package_version_and_codex_release_tags() -> N
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f"{runtime_setup.PACKAGE_NAME}=={pyproject['project']['version']}"
|
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in pyproject["project"]["dependencies"]
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)
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assert (
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runtime_setup._normalized_package_version("rust-v0.116.0-alpha.1")
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== "0.116.0a1"
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)
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assert runtime_setup._normalized_package_version("rust-v0.116.0-alpha.1") == "0.116.0a1"
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assert runtime_setup._release_tag("0.116.0a1") == "rust-v0.116.0-alpha.1"
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|
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|
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def test_runtime_package_is_wheel_only_and_builds_platform_specific_wheels() -> None:
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pyproject = tomllib.loads(
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(ROOT.parent / "python-runtime" / "pyproject.toml").read_text()
|
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)
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pyproject = tomllib.loads((ROOT.parent / "python-runtime" / "pyproject.toml").read_text())
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hook_source = (ROOT.parent / "python-runtime" / "hatch_build.py").read_text()
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hook_tree = ast.parse(hook_source)
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||||
initialize_fn = next(
|
||||
@@ -411,9 +419,7 @@ def test_stage_runtime_release_copies_resource_binaries(tmp_path: Path) -> None:
|
||||
)
|
||||
|
||||
assert {
|
||||
path.relative_to(
|
||||
staged / "src" / "codex_cli_bin" / "bin"
|
||||
).as_posix(): path.read_text()
|
||||
path.relative_to(staged / "src" / "codex_cli_bin" / "bin").as_posix(): path.read_text()
|
||||
for path in (staged / "src" / "codex_cli_bin" / "bin").iterdir()
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||||
} == {
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||||
script.runtime_binary_name(): "fake codex\n",
|
||||
@@ -502,9 +508,7 @@ def test_staged_sdk_and_runtime_versions_match(tmp_path: Path) -> None:
|
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sdk_pyproject = tomllib.loads((sdk_stage / "pyproject.toml").read_text())
|
||||
runtime_pyproject = tomllib.loads((runtime_stage / "pyproject.toml").read_text())
|
||||
|
||||
assert (
|
||||
sdk_pyproject["project"]["version"] == runtime_pyproject["project"]["version"]
|
||||
)
|
||||
assert sdk_pyproject["project"]["version"] == runtime_pyproject["project"]["version"]
|
||||
assert sdk_pyproject["project"]["dependencies"] == [
|
||||
"pydantic>=2.12",
|
||||
"openai-codex-cli-bin==0.116.0a1",
|
||||
@@ -629,9 +633,7 @@ def test_stage_runtime_stages_binary_without_type_generation(tmp_path: Path) ->
|
||||
|
||||
script.run_command(args, ops)
|
||||
|
||||
assert calls == [
|
||||
"stage_runtime:0.116.0a1:musllinux_1_1_x86_64:helper,fallback-helper"
|
||||
]
|
||||
assert calls == ["stage_runtime:0.116.0a1:musllinux_1_1_x86_64:helper,fallback-helper"]
|
||||
|
||||
|
||||
def test_default_runtime_is_resolved_from_installed_runtime_package(
|
||||
|
||||
@@ -12,6 +12,7 @@ from openai_codex.models import Notification, UnknownNotification
|
||||
|
||||
def test_async_client_allows_concurrent_transport_calls() -> None:
|
||||
"""Async wrappers should offload sync calls so concurrent awaits can overlap."""
|
||||
|
||||
async def scenario() -> int:
|
||||
"""Run two blocking sync calls and report peak overlap."""
|
||||
client = AsyncAppServerClient()
|
||||
@@ -36,6 +37,7 @@ def test_async_client_allows_concurrent_transport_calls() -> None:
|
||||
|
||||
def test_async_client_turn_notification_methods_delegate_to_sync_client() -> None:
|
||||
"""Async turn routing methods should preserve sync-client registration semantics."""
|
||||
|
||||
async def scenario() -> tuple[list[tuple[str, str]], Notification, str]:
|
||||
"""Record the sync-client calls made by async turn notification wrappers."""
|
||||
client = AsyncAppServerClient()
|
||||
|
||||
@@ -111,9 +111,7 @@ def test_unknown_notifications_fall_back_to_unknown_payloads() -> None:
|
||||
|
||||
def test_invalid_notification_payload_falls_back_to_unknown() -> None:
|
||||
client = AppServerClient()
|
||||
event = client._coerce_notification(
|
||||
"thread/tokenUsage/updated", {"threadId": "missing"}
|
||||
)
|
||||
event = client._coerce_notification("thread/tokenUsage/updated", {"threadId": "missing"})
|
||||
|
||||
assert event.method == "thread/tokenUsage/updated"
|
||||
assert isinstance(event.payload, UnknownNotification)
|
||||
|
||||
@@ -31,10 +31,7 @@ def _snapshot_target(root: Path, rel_path: Path) -> dict[str, bytes] | bytes | N
|
||||
|
||||
def _snapshot_targets(root: Path) -> dict[str, dict[str, bytes] | bytes | None]:
|
||||
"""Capture all checked-in generated artifacts before and after regeneration."""
|
||||
return {
|
||||
str(rel_path): _snapshot_target(root, rel_path)
|
||||
for rel_path in GENERATED_TARGETS
|
||||
}
|
||||
return {str(rel_path): _snapshot_target(root, rel_path) for rel_path in GENERATED_TARGETS}
|
||||
|
||||
|
||||
def test_generated_files_are_up_to_date():
|
||||
|
||||
@@ -7,13 +7,13 @@ from typing import Any
|
||||
import pytest
|
||||
|
||||
import openai_codex.api as public_api_module
|
||||
from openai_codex.generated.v2_all import TurnStartParams
|
||||
from openai_codex.models import InitializeResponse
|
||||
from openai_codex.api import (
|
||||
ApprovalMode,
|
||||
AsyncCodex,
|
||||
Codex,
|
||||
)
|
||||
from openai_codex.generated.v2_all import TurnStartParams
|
||||
from openai_codex.models import InitializeResponse
|
||||
|
||||
ROOT = Path(__file__).resolve().parents[1]
|
||||
|
||||
@@ -129,9 +129,7 @@ def test_async_codex_initializes_only_once_under_concurrency() -> None:
|
||||
|
||||
def _approval_mode_turn_params(approval_mode: ApprovalMode) -> TurnStartParams:
|
||||
"""Build real generated turn params from one public approval mode."""
|
||||
approval_policy, approvals_reviewer = public_api_module._approval_mode_settings(
|
||||
approval_mode
|
||||
)
|
||||
approval_policy, approvals_reviewer = public_api_module._approval_mode_settings(approval_mode)
|
||||
return TurnStartParams(
|
||||
thread_id="thread-1",
|
||||
input=[],
|
||||
|
||||
@@ -2,15 +2,16 @@ from __future__ import annotations
|
||||
|
||||
import importlib.resources as resources
|
||||
import inspect
|
||||
import tomllib
|
||||
from pathlib import Path
|
||||
from typing import Any
|
||||
|
||||
import tomllib
|
||||
|
||||
import openai_codex
|
||||
import openai_codex.types as public_types
|
||||
from openai_codex import (
|
||||
AppServerConfig,
|
||||
ApprovalMode,
|
||||
AppServerConfig,
|
||||
AsyncCodex,
|
||||
AsyncThread,
|
||||
Codex,
|
||||
@@ -107,9 +108,7 @@ def _assert_no_any_annotations(fn: object) -> None:
|
||||
signature = inspect.signature(fn)
|
||||
for param in signature.parameters.values():
|
||||
if param.annotation is Any:
|
||||
raise AssertionError(
|
||||
f"{fn} has public parameter typed as Any: {param.name}"
|
||||
)
|
||||
raise AssertionError(f"{fn} has public parameter typed as Any: {param.name}")
|
||||
if signature.return_annotation is Any:
|
||||
raise AssertionError(f"{fn} has public return annotation typed as Any")
|
||||
|
||||
@@ -150,9 +149,9 @@ def test_package_includes_py_typed_marker() -> None:
|
||||
def test_package_root_exports_only_public_api() -> None:
|
||||
"""The package root should expose the supported SDK surface, not internals."""
|
||||
assert openai_codex.__all__ == EXPECTED_ROOT_EXPORTS
|
||||
assert {name: hasattr(openai_codex, name) for name in EXPECTED_ROOT_EXPORTS} == {
|
||||
name: True for name in EXPECTED_ROOT_EXPORTS
|
||||
}
|
||||
assert {name: hasattr(openai_codex, name) for name in EXPECTED_ROOT_EXPORTS} == dict.fromkeys(
|
||||
EXPECTED_ROOT_EXPORTS, True
|
||||
)
|
||||
assert {
|
||||
"AppServerClient": hasattr(openai_codex, "AppServerClient"),
|
||||
"AsyncAppServerClient": hasattr(openai_codex, "AsyncAppServerClient"),
|
||||
@@ -184,9 +183,9 @@ def test_package_star_import_matches_public_api() -> None:
|
||||
def test_types_module_exports_curated_public_types() -> None:
|
||||
"""The public type module should be the supported place for app-server models."""
|
||||
assert public_types.__all__ == EXPECTED_TYPES_EXPORTS
|
||||
assert {name: hasattr(public_types, name) for name in EXPECTED_TYPES_EXPORTS} == {
|
||||
name: True for name in EXPECTED_TYPES_EXPORTS
|
||||
}
|
||||
assert {name: hasattr(public_types, name) for name in EXPECTED_TYPES_EXPORTS} == dict.fromkeys(
|
||||
EXPECTED_TYPES_EXPORTS, True
|
||||
)
|
||||
|
||||
|
||||
def test_types_star_import_matches_public_types() -> None:
|
||||
@@ -390,9 +389,9 @@ def test_new_thread_methods_default_to_auto_review() -> None:
|
||||
AsyncCodex.thread_start,
|
||||
]
|
||||
|
||||
assert {fn: _keyword_default(fn, "approval_mode") for fn in funcs} == {
|
||||
fn: ApprovalMode.auto_review for fn in funcs
|
||||
}
|
||||
assert {fn: _keyword_default(fn, "approval_mode") for fn in funcs} == dict.fromkeys(
|
||||
funcs, ApprovalMode.auto_review
|
||||
)
|
||||
|
||||
|
||||
def test_existing_thread_methods_default_to_preserving_approval_settings() -> None:
|
||||
@@ -408,9 +407,7 @@ def test_existing_thread_methods_default_to_preserving_approval_settings() -> No
|
||||
AsyncThread.run,
|
||||
]
|
||||
|
||||
assert {fn: _keyword_default(fn, "approval_mode") for fn in funcs} == {
|
||||
fn: None for fn in funcs
|
||||
}
|
||||
assert {fn: _keyword_default(fn, "approval_mode") for fn in funcs} == dict.fromkeys(funcs)
|
||||
|
||||
|
||||
def test_lifecycle_methods_are_codex_scoped() -> None:
|
||||
@@ -462,6 +459,4 @@ def test_initialize_metadata_requires_non_empty_information() -> None:
|
||||
except RuntimeError as exc:
|
||||
assert "missing required metadata" in str(exc)
|
||||
else:
|
||||
raise AssertionError(
|
||||
"expected RuntimeError when initialize metadata is missing"
|
||||
)
|
||||
raise AssertionError("expected RuntimeError when initialize metadata is missing")
|
||||
|
||||
@@ -539,7 +539,9 @@ def test_real_examples_run_and_assert(
|
||||
assert "actions:" in out
|
||||
assert "Items:" in out
|
||||
elif folder == "13_model_select_and_turn_params":
|
||||
assert "selected.model:" in out and "agent.message.params:" in out and "items.params:" in out
|
||||
assert (
|
||||
"selected.model:" in out and "agent.message.params:" in out and "items.params:" in out
|
||||
)
|
||||
elif folder == "14_turn_controls":
|
||||
assert "steer.result:" in out and "steer.final.status:" in out
|
||||
assert "interrupt.result:" in out and "interrupt.final.status:" in out
|
||||
|
||||
Reference in New Issue
Block a user