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import json
import time
import unittest
import requests
from test.utils import save_image
AUTH_KEY = "chatgpt2api"
BASE_URL = "http://localhost:8000"
TEXT_MODEL = "auto"
IMAGE_MODEL = "gpt-image-2"
CODEX_IMAGE_MODEL = "codex-gpt-image-2"
class ResponsesTests(unittest.TestCase):
@staticmethod
def _iter_sse_payloads(response: requests.Response):
for line in response.iter_lines():
if not line:
continue
text = line.decode("utf-8", errors="replace")
yield text
def test_text_response_http(self):
"""测试 Responses 文本的非流式 HTTP 调用。"""
response = requests.post(
f"{BASE_URL}/v1/responses",
headers={"Authorization": f"Bearer {AUTH_KEY}"},
json={
"model": TEXT_MODEL,
"input": [
{
"role": "user",
"content": [
{"type": "input_text", "text": "你好，请简单介绍一下你自己。"},
],
}
],
},
timeout=300,
)
self.assertEqual(response.status_code, 200, response.text)
print("responses text non-stream status:")
print(response.status_code)
print("responses text non-stream result:")
try:
payload = response.json()
print(json.dumps(payload, ensure_ascii=False, indent=2))
self.assertEqual(payload.get("object"), "response")
self.assertEqual(payload.get("status"), "completed")
self.assertTrue(isinstance(payload.get("output"), list) and payload.get("output"))
except Exception:
print(response.text)
raise
def test_text_response_stream_http(self):
"""测试 Responses 文本的流式 HTTP 调用。"""
response = requests.post(
f"{BASE_URL}/v1/responses",
headers={"Authorization": f"Bearer {AUTH_KEY}"},
json={
"model": TEXT_MODEL,
"input": [
{
"role": "user",
"content": [
{"type": "input_text", "text": "你好，请简单介绍一下你自己。"},
],
}
],
"stream": True,
},
stream=True,
timeout=300,
)
self.assertEqual(response.status_code, 200, response.text)
self.assertTrue(
response.headers.get("content-type", "").startswith("text/event-stream"),
response.headers.get("content-type", ""),
)
started_at = time.time()
print("responses text stream status:")
print(response.status_code)
print("responses text stream chunks:")
event_types = []
for text in self._iter_sse_payloads(response):
print(f"{time.time() - started_at:6.2f}s {text}")
if not text.startswith("data:"):
continue
payload_text = text[5:].strip()
if payload_text == "[DONE]":
break
try:
payload = json.loads(payload_text)
except Exception:
continue
event_type = str(payload.get("type") or "")
if event_type:
event_types.append(event_type)
self.assertIn("response.created", event_types)
self.assertIn("response.completed", event_types)
def test_image_response_http(self):
"""测试 Responses 画图的非流式 HTTP 调用。"""
response = requests.post(
f"{BASE_URL}/v1/responses",
headers={"Authorization": f"Bearer {AUTH_KEY}"},
json={
"model": IMAGE_MODEL,
"input": [
{
"role": "user",
"content": [
{"type": "input_text", "text": "我想做一张南京城市宣传海报图。"},
],
}
],
"tools": [{"type": "image_generation"}],
},
timeout=300,
)
self.assertEqual(response.status_code, 200, response.text)
saved_paths = []
try:
payload = response.json()
except Exception:
payload = {}
for index, item in enumerate(payload.get("output") or [], start=1):
if not isinstance(item, dict):
continue
image_b64 = str(item.get("result") or "")
if image_b64:
saved_paths.append(save_image(image_b64, f"responses_image_non_stream_{index}"))
print("responses image non-stream status:")
print(response.status_code)
print("responses image non-stream result:")
print(json.dumps(payload, ensure_ascii=False, indent=2))
print("responses image non-stream saved files:")
for path in saved_paths:
print(path)
def test_image_response_stream_http(self):
"""测试 Responses 画图的流式 HTTP 调用。"""
response = requests.post(
f"{BASE_URL}/v1/responses",
headers={"Authorization": f"Bearer {AUTH_KEY}"},
json={
"model": IMAGE_MODEL,
"input": [
{
"role": "user",
"content": [
{"type": "input_text", "text": "我想做一张南京城市宣传海报图。"},
],
}
],
"tools": [{"type": "image_generation"}],
"stream": True,
},
stream=True,
timeout=300,
)
self.assertEqual(response.status_code, 200, response.text)
self.assertTrue(
response.headers.get("content-type", "").startswith("text/event-stream"),
response.headers.get("content-type", ""),
)
started_at = time.time()
saved_paths = []
print("responses image stream status:")
print(response.status_code)
print("responses image stream chunks:")
for text in self._iter_sse_payloads(response):
print(f"{time.time() - started_at:6.2f}s {text}")
if not text.startswith("data:"):
continue
payload_text = text[5:].strip()
if payload_text == "[DONE]":
break
try:
payload = json.loads(payload_text)
except Exception:
continue
if payload.get("type") != "response.output_item.done":
continue
item = payload.get("item") or {}
if str(item.get("type") or "") != "image_generation_call":
continue
image_b64 = str(item.get("result") or "")
if image_b64:
saved_paths.append(save_image(image_b64, f"responses_image_stream_{len(saved_paths) + 1}"))
print("responses image stream saved files:")
for path in saved_paths:
print(path)
def test_codex_image_response_http(self):
"""测试 Responses 的 codex 画图非流式 HTTP 调用。"""
response = requests.post(
f"{BASE_URL}/v1/responses",
headers={"Authorization": f"Bearer {AUTH_KEY}"},
json={
"model": CODEX_IMAGE_MODEL,
"input": [
{
"role": "user",
"content": [
{"type": "input_text", "text": "我想做一张南京城市宣传海报图。"},
],
}
],
"tools": [{"type": "image_generation"}],
},
timeout=300,
)
self.assertEqual(response.status_code, 200, response.text)
saved_paths = []
try:
payload = response.json()
except Exception:
payload = {}
for index, item in enumerate(payload.get("output") or [], start=1):
if not isinstance(item, dict):
continue
image_b64 = str(item.get("result") or "")
if image_b64:
saved_paths.append(save_image(image_b64, f"responses_codex_image_non_stream_{index}"))
print("responses codex image non-stream status:")
print(response.status_code)
print("responses codex image non-stream result:")
print(json.dumps(payload, ensure_ascii=False, indent=2))
print("responses codex image non-stream saved files:")
for path in saved_paths:
print(path)
def test_codex_image_response_stream_http(self):
"""测试 Responses 的 codex 画图流式 HTTP 调用。"""
response = requests.post(
f"{BASE_URL}/v1/responses",
headers={"Authorization": f"Bearer {AUTH_KEY}"},
json={
"model": CODEX_IMAGE_MODEL,
"input": [
{
"role": "user",
"content": [
{"type": "input_text", "text": "我想做一张南京城市宣传海报图。"},
],
}
],
"tools": [{"type": "image_generation"}],
"stream": True,
},
stream=True,
timeout=300,
)
self.assertEqual(response.status_code, 200, response.text)
self.assertTrue(
response.headers.get("content-type", "").startswith("text/event-stream"),
response.headers.get("content-type", ""),
)
started_at = time.time()
saved_paths = []
print("responses codex image stream status:")
print(response.status_code)
print("responses codex image stream chunks:")
for text in self._iter_sse_payloads(response):
print(f"{time.time() - started_at:6.2f}s {text}")
if not text.startswith("data:"):
continue
payload_text = text[5:].strip()
if payload_text == "[DONE]":
break
try:
payload = json.loads(payload_text)
except Exception:
continue
if payload.get("type") != "response.output_item.done":
continue
item = payload.get("item") or {}
if str(item.get("type") or "") != "image_generation_call":
continue
image_b64 = str(item.get("result") or "")
if image_b64:
saved_paths.append(save_image(image_b64, f"responses_codex_image_stream_{len(saved_paths) + 1}"))
print("responses codex image stream saved files:")
for path in saved_paths:
print(path)
if __name__ == "__main__":
unittest.main()
|