adminandClaude Opus 4.8
7313c8a443
修「开始生成→几秒后停止→两个按钮都灰几十秒像卡死」：非死锁，是温和停止 在等当前目录行收尾，而 _generate_directory_outfit 一次性 submit 全部图片、 shutdown(wait=True) 等全跑完，停止信号进不到该循环；且 _stop 后无反馈。 - outfit_batch：run() 经 _accepts_should_stop 给 generate_func 传 should_stop (= _stop_event.is_set)，2-arg 才传、1-arg 仍兼容（含既有 mock） - ai_outfit：generate_outfit_image/_generate_directory_outfit 增 should_stop； 目录循环改有界提交——始终最多 image_concurrency 张在飞，每张完成后、提交 下一张前查 should_stop，已停止则停止提交、在飞收尾即返回（结果注明 「已停止，N 张未生成」，已生成的带 output_paths） - 面板：_OutfitWorker.gen(task, should_stop) 透传；_stop() 把停止按钮改 「停止中…」；_set_running(False) 复位「停止生成」 测试：目录行 should_stop 触发后只生成到停止点、返回「已停止」结果；2-arg generate_func 收到 should_stop；既有用例（1-arg mock、目录并发/部分失败）保持绿。 全套 py37 通过（test_config_service 的 packaging 模板失败属并行 §19.13，无关）。 离屏冒烟：stop 截断 run 且 runner 及时返回；面板停止按钮「停止中…」→结束复位。 Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
375 lines
13 KiB
Python
375 lines
13 KiB
Python
"""Tests for single-row AI outfit generation core."""
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import os
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import shutil
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import sys
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import tempfile
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import threading
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import time
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import unittest
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from io import BytesIO
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from pathlib import Path
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from PIL import Image
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sys.path.insert(0, str(Path(__file__).parent.parent / "src"))
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class TestAiOutfitCore(unittest.TestCase):
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def setUp(self):
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self.tmp = Path(tempfile.mkdtemp())
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def tearDown(self):
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shutil.rmtree(str(self.tmp), ignore_errors=True)
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def _task(self, product_id="TY001"):
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from core.models import OutfitTask
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return OutfitTask(
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row_index=2,
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title="纯棉短袖",
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product_id=product_id,
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garment_path=str(self.tmp / "garment.png"),
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)
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def _image_bytes(self, size=(640, 480), color=(200, 120, 80)):
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img = Image.new("RGB", size, color)
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buffer = BytesIO()
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img.save(buffer, format="PNG")
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return buffer.getvalue()
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def test_render_prompt_replaces_placeholders(self):
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from core.ai_outfit import render_prompt
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prompt = render_prompt("商品 {title} / {product_id}", self._task())
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# No resolution -> no appended requirements tail.
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self.assertEqual(prompt, "商品 纯棉短袖 / TY001")
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def test_render_prompt_appends_requirements_with_resolution(self):
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from core.ai_outfit import render_prompt
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prompt = render_prompt("话术 {title}", self._task(), resolution="2K")
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self.assertTrue(prompt.startswith("话术 纯棉短袖"))
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self.assertIn("批量生成输出要求：", prompt)
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self.assertIn("参考解析度：2K", prompt)
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self.assertIn("不可跑版", prompt)
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def test_build_output_requirements_empty_and_filled(self):
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from core.ai_outfit import build_output_requirements
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self.assertEqual(build_output_requirements(""), "")
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self.assertEqual(build_output_requirements(None), "")
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filled = build_output_requirements("4K")
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self.assertIn("参考解析度：4K", filled)
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self.assertIn("固定 1:1 正方形主图", filled)
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def test_safe_product_filename_replaces_invalid_chars(self):
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from core.ai_outfit import safe_product_filename
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self.assertEqual(safe_product_filename('TY:00/1*?"'), "TY_00_1___")
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def test_make_output_path_avoids_overwrite(self):
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from core.ai_outfit import make_outfit_output_path
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first = make_outfit_output_path(self.tmp, "TY001")
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first.write_text("exists")
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second = make_outfit_output_path(self.tmp, "TY001")
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self.assertEqual(second.name, "TY001_1.jpg")
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def test_save_jpg_under_limit_outputs_square_jpg(self):
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from core.ai_outfit import save_jpg_under_limit
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out = self.tmp / "out.jpg"
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save_jpg_under_limit(self._image_bytes(size=(640, 480)), out, quality=85, max_bytes=200000)
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self.assertTrue(out.exists())
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self.assertLessEqual(out.stat().st_size, 200000)
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with Image.open(str(out)) as img:
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self.assertEqual(img.format, "JPEG")
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self.assertEqual(img.size[0], img.size[1])
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def test_generate_outfit_image_success(self):
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from core.ai_outfit import generate_outfit_image
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client = _FakeClient(self._image_bytes())
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result = generate_outfit_image(
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self._task(),
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"为 {title} 生成 {product_id}",
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self.tmp,
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model_config={"url": "https://api", "model": "m", "api_key": "k"},
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api_client=client,
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)
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self.assertTrue(result.success, result.error)
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self.assertTrue(Path(result.output_path).exists())
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# generate passes resolution -> rendered prompt + appended requirements.
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self.assertTrue(client.prompt.startswith("为 纯棉短袖 生成 TY001"))
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self.assertIn("批量生成输出要求：", client.prompt)
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self.assertTrue(client.image_path.endswith("garment.png"))
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def test_generate_outfit_image_failure(self):
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from core.ai_outfit import generate_outfit_image
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with self.assertLogs("core.ai_outfit", level="ERROR"):
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result = generate_outfit_image(
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self._task(),
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"prompt",
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self.tmp,
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model_config={},
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api_client=_FailingClient(),
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)
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self.assertFalse(result.success)
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self.assertIn("boom", result.error)
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def test_generate_single_file_empty_product_id_uses_source_name(self):
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from core.ai_outfit import generate_outfit_image
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from core.models import OutfitTask
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garment = self.tmp / "shirt.png"
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self._make_image_file(garment)
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task = OutfitTask(row_index=2, title="款", product_id="",
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garment_path=str(garment))
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result = generate_outfit_image(
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task, "穿 {title}", self.tmp / "o",
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model_config={}, api_client=_RecordingClient(self._image_bytes()))
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self.assertTrue(result.success, result.error)
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self.assertEqual(Path(result.output_path).name, "shirt.jpg")
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# -- directory rows (docs/11 §4.1 / §9.1) ---------------------------
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def _make_image_file(self, path, color=(10, 20, 30)):
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Image.new("RGB", (64, 64), color).save(str(path), format="PNG")
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def _dir_task(self, garment_path, product_id="DIRA"):
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from core.models import OutfitTask
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return OutfitTask(row_index=3, title="目录款", product_id=product_id,
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garment_path=str(garment_path))
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def _make_dir_with_images(self, name="a", files=("img1.png", "img2.png", "img3.png")):
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d = self.tmp / name
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d.mkdir()
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for fname in files:
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self._make_image_file(d / fname)
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return d
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def test_list_directory_images_filters_sorts_ignores_subdirs(self):
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from core.ai_outfit import list_directory_images
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d = self.tmp / "imgs"
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d.mkdir()
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self._make_image_file(d / "b.png")
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self._make_image_file(d / "a.jpg")
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(d / "note.txt").write_text("x", encoding="utf-8")
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(d / "sub").mkdir()
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self._make_image_file(d / "sub" / "c.png")
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images = list_directory_images(d)
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self.assertEqual([p.name for p in images], ["a.jpg", "b.png"])
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def test_make_outfit_subdir_path_sanitizes_without_suffix(self):
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from core.ai_outfit import make_outfit_subdir_path
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p = make_outfit_subdir_path(self.tmp, "a:b", "img/1")
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self.assertEqual(p.parent.name, "a_b")
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self.assertEqual(p.name, "img_1.jpg")
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def test_generate_directory_fans_out_to_named_subdir(self):
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from core.ai_outfit import generate_outfit_image
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d = self._make_dir_with_images("a")
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out = self.tmp / "穿搭图片"
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client = _RecordingClient(self._image_bytes())
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result = generate_outfit_image(
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self._dir_task(d), "话术 {title}", out,
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model_config={}, api_client=client,
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)
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self.assertTrue(result.success, result.error)
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self.assertEqual(client.calls, 3)
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self.assertEqual(Path(result.output_path), out / "a")
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self.assertEqual(len(result.output_paths), 3)
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names = sorted(p.name for p in (out / "a").iterdir())
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self.assertEqual(names, ["img1.jpg", "img2.jpg", "img3.jpg"])
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def test_generate_directory_skips_existing_outputs_on_retry(self):
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from core.ai_outfit import generate_outfit_image
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d = self._make_dir_with_images("a")
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out = self.tmp / "out"
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first = generate_outfit_image(
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self._dir_task(d), "x {title}", out,
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model_config={}, api_client=_RecordingClient(self._image_bytes()))
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self.assertTrue(first.success)
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# Re-run: every output already exists -> no API calls, still success.
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again_client = _RecordingClient(self._image_bytes())
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again = generate_outfit_image(
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self._dir_task(d), "x {title}", out,
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model_config={}, api_client=again_client)
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self.assertTrue(again.success)
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self.assertEqual(again_client.calls, 0)
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self.assertEqual(len(again.output_paths), 3)
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def test_generate_directory_empty_fails(self):
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from core.ai_outfit import generate_outfit_image
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d = self.tmp / "empty"
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d.mkdir()
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result = generate_outfit_image(
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self._dir_task(d), "x", self.tmp / "out",
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model_config={}, api_client=_RecordingClient(self._image_bytes()))
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self.assertFalse(result.success)
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self.assertIn("没有图片", result.error)
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def test_generate_directory_missing_fails(self):
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from core.ai_outfit import generate_outfit_image
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# Trailing separator marks it as a directory even though it doesn't exist.
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missing = str(self.tmp / "nope") + os.sep
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result = generate_outfit_image(
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self._dir_task(missing), "x", self.tmp / "out",
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model_config={}, api_client=_RecordingClient(self._image_bytes()))
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self.assertFalse(result.success)
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self.assertIn("目录不存在", result.error)
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def test_generate_directory_partial_failure_aggregates(self):
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from core.ai_outfit import generate_outfit_image
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d = self._make_dir_with_images("a")
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out = self.tmp / "out"
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client = _FailOnClient(self._image_bytes(), fail_name="img2.png")
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result = generate_outfit_image(
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self._dir_task(d), "x", out, model_config={}, api_client=client)
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self.assertFalse(result.success)
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self.assertIn("3 张中 1 张失败", result.error)
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self.assertIn("img2.png", result.error)
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# The two that succeeded are still written (and listed for thumbnails).
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self.assertEqual(len(result.output_paths), 2)
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self.assertFalse((out / "a" / "img2.jpg").exists())
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def test_generate_directory_stops_remaining_on_should_stop(self):
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"""§19.24: should_stop 触发后不再提交剩余图片，返回「已停止」结果。"""
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from core.ai_outfit import generate_outfit_image
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d = self._make_dir_with_images("a") # 3 images, image_concurrency=1
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out = self.tmp / "out"
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client = _RecordingClient(self._image_bytes())
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# stop as soon as the first image has been generated
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def should_stop():
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return client.calls >= 1
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result = generate_outfit_image(
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self._dir_task(d), "话术", out, model_config={},
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api_client=client, should_stop=should_stop)
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self.assertFalse(result.success)
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self.assertEqual(client.calls, 1) # only 1 generated; rest not submitted
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self.assertIn("已停止", result.error)
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self.assertIn("2 张未生成", result.error)
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self.assertEqual(len(result.output_paths), 1)
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def test_generate_directory_uses_image_concurrency(self):
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from core.ai_outfit import generate_outfit_image
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d = self._make_dir_with_images("a", files=("img1.png", "img2.png", "img3.png", "img4.png"))
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out = self.tmp / "out"
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client = _ConcurrentRecordingClient(self._image_bytes())
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result = generate_outfit_image(
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self._dir_task(d), "x", out, model_config={}, api_client=client,
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image_concurrency=2)
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self.assertTrue(result.success, result.error)
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self.assertEqual(client.calls, 4)
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self.assertGreaterEqual(client.max_active, 2)
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self.assertEqual(len(result.output_paths), 4)
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class _FakeClient:
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def __init__(self, image_bytes):
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self._image_bytes = image_bytes
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self.prompt = None
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self.image_path = None
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def generate(self, prompt, image_path, resolution="1K"):
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self.prompt = prompt
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self.image_path = str(image_path)
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return self._image_bytes
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class _FailingClient:
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def generate(self, prompt, image_path, resolution="1K"):
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raise RuntimeError("boom")
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class _RecordingClient:
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"""Records every generate() call (count + image paths) for directory tests."""
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def __init__(self, image_bytes):
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self._image_bytes = image_bytes
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self.calls = 0
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self.image_paths = []
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def generate(self, prompt, image_path, resolution="1K"):
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self.calls += 1
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self.image_paths.append(str(image_path))
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return self._image_bytes
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class _FailOnClient:
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"""Fails only for the source image whose filename ends with *fail_name*."""
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def __init__(self, image_bytes, fail_name):
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self._image_bytes = image_bytes
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self._fail_name = fail_name
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self.calls = 0
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def generate(self, prompt, image_path, resolution="1K"):
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self.calls += 1
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if str(image_path).endswith(self._fail_name):
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raise RuntimeError("bad image")
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return self._image_bytes
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class _ConcurrentRecordingClient:
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"""Thread-safe fake client that records concurrent generate() calls."""
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def __init__(self, image_bytes):
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self._image_bytes = image_bytes
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self.calls = 0
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self.active = 0
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self.max_active = 0
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self._lock = threading.Lock()
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def generate(self, prompt, image_path, resolution="1K"):
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with self._lock:
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self.calls += 1
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self.active += 1
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self.max_active = max(self.max_active, self.active)
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time.sleep(0.05)
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with self._lock:
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self.active -= 1
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return self._image_bytes
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if __name__ == "__main__":
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unittest.main()
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