adminandClaude Opus 4.8
abe46c4aeb
Excel C 列除单张图片外也可填一个目录（d:/images/a/）：对目录内每张图各 生成一张穿搭图（N→N），全部存到 输出目录/<目录叶子名>/，文件名沿用源图名； Excel 仍整行一个状态：D=子目录、E=全成功才「完成」、F=失败张数/原因。 - core/ai_outfit.py: list_directory_images（顶层、扩展名过滤、排序、忽略子目录）、 make_outfit_subdir_path（不加 _n 后缀）、generate_outfit_image 目录分支 （新参 request_interval/image_log；逐张跳过已存在→幂等重试、本地节流、发日志、 聚合成单个 OutfitResult） - core/models.py: OutfitResult 加 output_paths（目录行各 jpg，供缩略图） - ai_outfit_panel.py: gen 闭包传 request_interval/image_log；缩略图逐张； 明细「结果」列显示「子目录（N 张）」；_basename 处理目录末尾分隔符 - tests/test_ai_outfit.py: 扇出/幂等跳过/空目录/缺目录/部分失败/命名过滤等用例 - docs/11 §4.1+§9.1、tasks.md §19.12 离屏冒烟：3 图目录 + mock API → output/<dir>/ 3 jpg、D=子目录、E=完成、缩略图 3 张； 全套 12 测试文件在 Python 3.7 全绿。 Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
298 lines
10 KiB
Python
298 lines
10 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 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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# -- 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 / "out"
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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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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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if __name__ == "__main__":
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unittest.main()
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