实测模型常返回 Markdown 表格(編號/標題/字元數估算 三列),按行解析会把 表头/分隔线/带 | 数字的行当成标题,写进 Excel A 全是「| 編號 | 標題 | … |」。 改用「提示词约定标题逗号分隔 + 解析按逗号拆分」,简单可靠。 - ai_text_service._clean_titles:从按行拆改为按逗号拆(半角 , / 全角 ,, 换行作兜底分隔),每段走 _clean_title_line 去空白/序号/引号、丢空 - config_service.DEFAULT_TITLE_PROMPT:改逗号分隔风格,明确禁 Markdown 表格/ 换行/序号/編號/字元數/引号/表情 - extract_text_from_response(取首条)、generate_texts/generate_titles/ _TitleWorker 均不变 测试:逗号分隔(全角/半角)→ 多条;逗号+换行混用都拆开;逐段去序号/引号; Markdown 表头单行不再炸成多条垃圾。全套 py37 通过(test_config_service 的 packaging 模板失败属并行 §19.13,与本改动无关)。离屏冒烟:逗号响应解析 + 按序回填 Excel A。 Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
190 lines
8.0 KiB
Python
190 lines
8.0 KiB
Python
"""Tests for the AI text (title) service (docs/11 §17)."""
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import sys
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import unittest
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from pathlib import Path
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sys.path.insert(0, str(Path(__file__).parent.parent / "src"))
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CHAT_CFG = {"url": "https://relay.example.com/v1/chat/completions",
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"model": "gpt-4o", "api_key": "sk-x", "api_type": "chat"}
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GEMINI_CFG = {"url": "https://relay.example.com/v1beta/models/{model}:generateContent",
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"model": "gemini-2.5-flash", "api_key": "sk-x", "api_type": "gemini"}
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IMAGES_EDITS_CFG = {"url": "https://relay.example.com/v1/images/edits",
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"model": "img", "api_key": "sk-x", "api_type": "images_edits"}
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class TestExtractText(unittest.TestCase):
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def test_chat_string_content(self):
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from services.ai_text_service import extract_text_from_response
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data = {"choices": [{"message": {"content": "纯棉宽松短袖T恤"}}]}
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self.assertEqual(extract_text_from_response(data), "纯棉宽松短袖T恤")
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def test_chat_list_content(self):
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from services.ai_text_service import extract_text_from_response
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data = {"choices": [{"message": {"content": [
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{"type": "text", "text": "印花连衣裙"}]}}]}
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self.assertEqual(extract_text_from_response(data), "印花连衣裙")
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def test_gemini_parts(self):
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from services.ai_text_service import extract_text_from_response
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data = {"candidates": [{"content": {"parts": [{"text": "碎花雪纺衫"}]}}]}
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self.assertEqual(extract_text_from_response(data), "碎花雪纺衫")
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def test_multiline_takes_first_and_strips_numbering_quotes(self):
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from services.ai_text_service import extract_text_from_response
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data = {"choices": [{"message": {"content":
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"1. 「韩版宽松卫衣」\n2. 复古工装外套\n3. 简约百搭T恤"}}]}
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self.assertEqual(extract_text_from_response(data), "韩版宽松卫衣")
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def test_missing_text_returns_empty(self):
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from services.ai_text_service import extract_text_from_response
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self.assertEqual(extract_text_from_response({"choices": []}), "")
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self.assertEqual(extract_text_from_response({}), "")
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def test_extract_titles_comma_separated(self):
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"""§19.23: 逗号分隔(全角/半角)→ 多条,逐段去空白。"""
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from services.ai_text_service import extract_titles_from_response
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full = {"choices": [{"message": {"content": "甲款,乙款,丙款,丁款"}}]}
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self.assertEqual(extract_titles_from_response(full),
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["甲款", "乙款", "丙款", "丁款"])
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half = {"choices": [{"message": {"content": "甲款, 乙款 ,丙款"}}]}
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self.assertEqual(extract_titles_from_response(half), ["甲款", "乙款", "丙款"])
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def test_extract_titles_mixed_comma_newline_and_cleaning(self):
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"""§19.23: 逗号 + 换行混用都拆开;逐段去序号/引号。"""
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from services.ai_text_service import extract_titles_from_response
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data = {"choices": [{"message": {"content":
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"1. 「韩版宽松卫衣」,2) 复古工装外套\n- 简约百搭T恤"}}]}
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self.assertEqual(
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extract_titles_from_response(data),
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["韩版宽松卫衣", "复古工装外套", "简约百搭T恤"])
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def test_extract_titles_markdown_table_not_exploded(self):
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"""§19.23: 表头单行无逗号 → 至多 1 条,不再炸成表头/分隔/多行垃圾。"""
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from services.ai_text_service import extract_titles_from_response
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data = {"choices": [{"message": {"content": "| 編號 | 標題 | 字元數估算 |"}}]}
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self.assertEqual(len(extract_titles_from_response(data)), 1)
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def test_extract_titles_empty_when_no_text(self):
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from services.ai_text_service import extract_titles_from_response
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self.assertEqual(extract_titles_from_response({"choices": []}), [])
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class TestBuildTextPayload(unittest.TestCase):
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def test_chat_with_image_includes_image_url(self):
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from services.ai_text_service import build_text_payload
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payload = build_text_payload(CHAT_CFG, "写标题", "data:image/png;base64,AAA")
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content = payload["messages"][0]["content"]
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types = [part["type"] for part in content]
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self.assertEqual(types, ["text", "image_url"])
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self.assertEqual(content[1]["image_url"]["url"], "data:image/png;base64,AAA")
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def test_chat_without_image_text_only(self):
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from services.ai_text_service import build_text_payload
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payload = build_text_payload(CHAT_CFG, "写标题")
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content = payload["messages"][0]["content"]
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self.assertEqual([p["type"] for p in content], ["text"])
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def test_gemini_text_only_modality(self):
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from services.ai_text_service import build_text_payload
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payload = build_text_payload(GEMINI_CFG, "写标题",
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"data:image/jpeg;base64,BBB")
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self.assertEqual(
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payload["generationConfig"]["responseModalities"], ["TEXT"])
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parts = payload["contents"][0]["parts"]
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self.assertIn("inlineData", parts[1])
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def test_images_edits_rejected(self):
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from services.ai_text_service import AiTextServiceError, build_text_payload
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with self.assertRaises(AiTextServiceError):
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build_text_payload(IMAGES_EDITS_CFG, "写标题")
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class _FakeResponse:
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def __init__(self, payload):
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self._payload = payload
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def raise_for_status(self):
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pass
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def json(self):
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return self._payload
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class _FakeSession:
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def __init__(self, payload):
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self._payload = payload
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self.posted = None
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def post(self, url, headers=None, json=None, timeout=None):
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self.posted = {"url": url, "headers": headers, "json": json}
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return _FakeResponse(self._payload)
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class TestGenerateText(unittest.TestCase):
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def test_generate_text_posts_and_returns_title(self):
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from services.ai_text_service import AiTextClient
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session = _FakeSession({"choices": [{"message": {"content": "夏季冰丝防晒衣"}}]})
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client = AiTextClient(CHAT_CFG, session=session)
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# No image_path -> text-only payload; still returns the parsed title.
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title = client.generate_text("给这件衣服起标题")
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self.assertEqual(title, "夏季冰丝防晒衣")
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self.assertIn("chat/completions", session.posted["url"])
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self.assertEqual(session.posted["headers"]["Authorization"], "Bearer sk-x")
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def test_generate_text_images_edits_raises(self):
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from services.ai_text_service import AiTextClient, AiTextServiceError
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client = AiTextClient(IMAGES_EDITS_CFG, session=_FakeSession({}))
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with self.assertRaises(AiTextServiceError):
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client.generate_text("标题")
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def test_generate_text_empty_response_raises(self):
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from services.ai_text_service import AiTextClient, AiTextServiceError
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client = AiTextClient(CHAT_CFG, session=_FakeSession({"choices": []}))
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with self.assertRaises(AiTextServiceError):
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client.generate_text("标题")
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def test_generate_texts_returns_all_titles_text_only(self):
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"""§17.1: 一次请求 → 多条;纯文本(payload 不含 image_url)。"""
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from services.ai_text_service import AiTextClient
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session = _FakeSession({"choices": [{"message": {"content":
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"标题一\n标题二\n标题三"}}]})
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client = AiTextClient(CHAT_CFG, session=session)
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titles = client.generate_texts("生成 3 条标题")
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self.assertEqual(titles, ["标题一", "标题二", "标题三"])
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content = session.posted["json"]["messages"][0]["content"]
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self.assertEqual([p["type"] for p in content], ["text"]) # 无图
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def test_generate_texts_empty_raises(self):
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from services.ai_text_service import AiTextClient, AiTextServiceError
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client = AiTextClient(CHAT_CFG, session=_FakeSession({"choices": []}))
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with self.assertRaises(AiTextServiceError):
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client.generate_texts("标题")
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if __name__ == "__main__":
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unittest.main()
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