Files
cmbot/tests/test_ai_text_service.py
T
adminandClaude Opus 4.8 2fa488bd21 feat(ai-outfit): 左栏新增「标题生成」(看图→提示词→AI 文字标题→写回A列) (§19.18)
AI 穿搭页左栏新增独立的「生成标题」流程:用户写标题提示词,AI 看该行
衣服图(目录行取首图)生成电商标题,逐行立即写回 Excel A 列并刷新明细表;
完成后重载 Excel,紧接「开始生成」跑图即用新标题。移除原「最终生成要求预览」
腾出版面(docs/11 §17)。

- ai_text_service.py:AiTextClient 复用图像服务 HTTP 管道做文本输出;
  chat/gemini 带图视觉,images/images_edits 明确报错;extract_text 取首条标题
- ai_title.py + TitleResult:单行编排,never raises
- excel_service.write_title_result:只写 A 列、不动 D/E/F
- config_service:title_model 默认 + load/save_title_prompt + 默认标题话术
- 面板:标题生成组(提示词+标题模型下拉+保存+生成标题)置于话术组上方;
  _TitleWorker 顺序逐行+立即回填+刷新;与「开始生成」互斥;删预览相关组件
- 测试:文本解析/payload、generate_title(单文件/目录首图/失败)、
  write_title_result、面板标题组存在且无预览;全套 py37 通过

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-23 11:04:38 +08:00

137 lines
5.3 KiB
Python

"""Tests for the AI text (title) service (docs/11 §17)."""
import sys
import unittest
from pathlib import Path
sys.path.insert(0, str(Path(__file__).parent.parent / "src"))
CHAT_CFG = {"url": "https://relay.example.com/v1/chat/completions",
"model": "gpt-4o", "api_key": "sk-x", "api_type": "chat"}
GEMINI_CFG = {"url": "https://relay.example.com/v1beta/models/{model}:generateContent",
"model": "gemini-2.5-flash", "api_key": "sk-x", "api_type": "gemini"}
IMAGES_EDITS_CFG = {"url": "https://relay.example.com/v1/images/edits",
"model": "img", "api_key": "sk-x", "api_type": "images_edits"}
class TestExtractText(unittest.TestCase):
def test_chat_string_content(self):
from services.ai_text_service import extract_text_from_response
data = {"choices": [{"message": {"content": "纯棉宽松短袖T恤"}}]}
self.assertEqual(extract_text_from_response(data), "纯棉宽松短袖T恤")
def test_chat_list_content(self):
from services.ai_text_service import extract_text_from_response
data = {"choices": [{"message": {"content": [
{"type": "text", "text": "印花连衣裙"}]}}]}
self.assertEqual(extract_text_from_response(data), "印花连衣裙")
def test_gemini_parts(self):
from services.ai_text_service import extract_text_from_response
data = {"candidates": [{"content": {"parts": [{"text": "碎花雪纺衫"}]}}]}
self.assertEqual(extract_text_from_response(data), "碎花雪纺衫")
def test_multiline_takes_first_and_strips_numbering_quotes(self):
from services.ai_text_service import extract_text_from_response
data = {"choices": [{"message": {"content":
"1. 「韩版宽松卫衣」\n2. 复古工装外套\n3. 简约百搭T恤"}}]}
self.assertEqual(extract_text_from_response(data), "韩版宽松卫衣")
def test_missing_text_returns_empty(self):
from services.ai_text_service import extract_text_from_response
self.assertEqual(extract_text_from_response({"choices": []}), "")
self.assertEqual(extract_text_from_response({}), "")
class TestBuildTextPayload(unittest.TestCase):
def test_chat_with_image_includes_image_url(self):
from services.ai_text_service import build_text_payload
payload = build_text_payload(CHAT_CFG, "写标题", "data:image/png;base64,AAA")
content = payload["messages"][0]["content"]
types = [part["type"] for part in content]
self.assertEqual(types, ["text", "image_url"])
self.assertEqual(content[1]["image_url"]["url"], "data:image/png;base64,AAA")
def test_chat_without_image_text_only(self):
from services.ai_text_service import build_text_payload
payload = build_text_payload(CHAT_CFG, "写标题")
content = payload["messages"][0]["content"]
self.assertEqual([p["type"] for p in content], ["text"])
def test_gemini_text_only_modality(self):
from services.ai_text_service import build_text_payload
payload = build_text_payload(GEMINI_CFG, "写标题",
"data:image/jpeg;base64,BBB")
self.assertEqual(
payload["generationConfig"]["responseModalities"], ["TEXT"])
parts = payload["contents"][0]["parts"]
self.assertIn("inlineData", parts[1])
def test_images_edits_rejected(self):
from services.ai_text_service import AiTextServiceError, build_text_payload
with self.assertRaises(AiTextServiceError):
build_text_payload(IMAGES_EDITS_CFG, "写标题")
class _FakeResponse:
def __init__(self, payload):
self._payload = payload
def raise_for_status(self):
pass
def json(self):
return self._payload
class _FakeSession:
def __init__(self, payload):
self._payload = payload
self.posted = None
def post(self, url, headers=None, json=None, timeout=None):
self.posted = {"url": url, "headers": headers, "json": json}
return _FakeResponse(self._payload)
class TestGenerateText(unittest.TestCase):
def test_generate_text_posts_and_returns_title(self):
from services.ai_text_service import AiTextClient
session = _FakeSession({"choices": [{"message": {"content": "夏季冰丝防晒衣"}}]})
client = AiTextClient(CHAT_CFG, session=session)
# No image_path -> text-only payload; still returns the parsed title.
title = client.generate_text("给这件衣服起标题")
self.assertEqual(title, "夏季冰丝防晒衣")
self.assertIn("chat/completions", session.posted["url"])
self.assertEqual(session.posted["headers"]["Authorization"], "Bearer sk-x")
def test_generate_text_images_edits_raises(self):
from services.ai_text_service import AiTextClient, AiTextServiceError
client = AiTextClient(IMAGES_EDITS_CFG, session=_FakeSession({}))
with self.assertRaises(AiTextServiceError):
client.generate_text("标题")
def test_generate_text_empty_response_raises(self):
from services.ai_text_service import AiTextClient, AiTextServiceError
client = AiTextClient(CHAT_CFG, session=_FakeSession({"choices": []}))
with self.assertRaises(AiTextServiceError):
client.generate_text("标题")
if __name__ == "__main__":
unittest.main()