Initial project import

2026-09-18 03:46:58 +08:00
commit b600da4b76
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+from __future__ import annotations
+
+import json
+import time
+import unittest
+
+import requests
+
+from test.utils import save_image
+
+AUTH_KEY = "chatgpt2api"
+BASE_URL = "http://localhost:8000"
+
+
+class ImageGenerationsTests(unittest.TestCase):
+    def test_image_generation_http(self):
+        """测试图片生成的非流式 HTTP 调用。"""
+        response = requests.post(
+            f"{BASE_URL}/v1/images/generations",
+            headers={"Authorization": f"Bearer {AUTH_KEY}"},
+            json={
+                "model": "gpt-image-2",
+                "prompt": "我想做一张南京城市宣传海报图。",
+                "n": 1,
+                "response_format": "b64_json",
+            },
+            timeout=300,
+        )
+        payload = response.json()
+        saved_paths = []
+        for index, item in enumerate(payload.get("data") or [], start=1):
+            b64_json = str((item or {}).get("b64_json") or "")
+            if b64_json:
+                saved_paths.append(save_image(b64_json, f"images_generations_non_stream_{index}"))
+        print("images generations non-stream status:")
+        print(response.status_code)
+        print("images generations non-stream created:")
+        print(payload.get("created"))
+        print("images generations non-stream saved files:")
+        for path in saved_paths:
+            print(path)
+
+    def test_image_generation_stream_http(self):
+        """测试图片生成的流式 HTTP 调用。"""
+        response = requests.post(
+            f"{BASE_URL}/v1/images/generations",
+            headers={"Authorization": f"Bearer {AUTH_KEY}"},
+            json={
+                "model": "gpt-image-2",
+                "prompt": "我想做一张南京城市宣传海报图。",
+                "n": 1,
+                "response_format": "b64_json",
+                "stream": True,
+            },
+            stream=True,
+            timeout=300,
+        )
+        image_items: list[dict[str, object]] = []
+        started_at = time.time()
+        print("images generations stream status:")
+        print(response.status_code)
+        print("images generations stream chunks:")
+        for line in response.iter_lines():
+            if not line:
+                continue
+            text = line.decode("utf-8", errors="replace")
+            print(f"{time.time() - started_at:6.2f}s {text}")
+            if not text.startswith("data:"):
+                continue
+            payload = text[5:].strip()
+            if payload == "[DONE]":
+                break
+            try:
+                chunk = json.loads(payload)
+            except Exception:
+                continue
+            data = chunk.get("data")
+            if isinstance(data, list):
+                image_items.extend(item for item in data if isinstance(item, dict))
+
+        saved_paths = []
+        for index, item in enumerate(image_items, start=1):
+            b64_json = str(item.get("b64_json") or "")
+            if b64_json:
+                saved_paths.append(save_image(b64_json, f"images_generations_stream_{index}"))
+        print("images generations stream saved files:")
+        for path in saved_paths:
+            print(path)
+
+
+if __name__ == "__main__":
+    unittest.main()