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Break the large integration test module into focused run, input, stream, turn-control, approval-mode, and lifecycle files with shared helpers for the mock Responses boundary. Co-authored-by: Codex <noreply@openai.com>
75 lines
2.5 KiB
Python
75 lines
2.5 KiB
Python
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, TextInput
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from pinned_app_server_helpers import TINY_PNG_BYTES
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def test_remote_image_input_reaches_responses_api_through_pinned_app_server(
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tmp_path,
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) -> None:
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"""Remote image inputs should survive the SDK and app-server boundary."""
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remote_image_url = "https://example.com/codex.png"
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with AppServerHarness(tmp_path) as harness:
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harness.responses.enqueue_assistant_message(
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"remote image received",
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response_id="remote-image",
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)
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with Codex(config=harness.app_server_config()) as codex:
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result = codex.thread_start().run(
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[
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TextInput("Describe the remote image."),
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ImageInput(remote_image_url),
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]
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)
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request = harness.responses.single_request()
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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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"image_urls": request.message_image_urls("user"),
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} == {
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"final_response": "remote image received",
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"contains_user_prompt": True,
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"image_urls": [remote_image_url],
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}
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def test_local_image_input_reaches_responses_api_through_pinned_app_server(
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tmp_path,
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) -> None:
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"""Local image inputs should become data URLs after crossing the app-server."""
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local_image = tmp_path / "local.png"
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local_image.write_bytes(TINY_PNG_BYTES)
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with AppServerHarness(tmp_path) as harness:
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harness.responses.enqueue_assistant_message(
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"local image received",
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response_id="local-image",
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)
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with Codex(config=harness.app_server_config()) as codex:
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result = codex.thread_start().run(
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[
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TextInput("Describe the local image."),
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LocalImageInput(str(local_image)),
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]
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)
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request = harness.responses.single_request()
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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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"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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} == {
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"final_response": "local image received",
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"contains_user_prompt": True,
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"image_url_is_png_data_url": True,
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}
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