49 lines
3.7 KiB
Python
49 lines
3.7 KiB
Python
from pathlib import Path
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root = Path('C:/kefu')
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p=root/'admin-web/apps/web-antd/src/api/request.ts';s=p.read_text(encoding='utf-8')
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s=s.replace("import { refreshTokenApi } from './core';", "import { refreshTokenApi } from './core';\nimport { responseErrorMessage } from './error-message';")
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start=s.index(' // 这里可以根据业务进行定制')
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end=s.index('\n }),',start)
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s=s[:start]+''' // FastAPI detail may be a validation array or object, never pass it directly to a toast.
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message.error(responseErrorMessage(error?.response?.data, msg));'''+s[end:]
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p.write_text(s,encoding='utf-8',newline='\n')
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p=root/'admin-web/apps/web-antd/src/views/knowledge/center.vue';s=p.read_text(encoding='utf-8')
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s=s.replace("import { ALL_ACCOUNTS } from '#/api/console';", "import { ALL_ACCOUNTS } from '#/api/console';\nimport { requestErrorMessage } from '#/api/error-message';")
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s=s.replace("const testQuery = ref('');", "const testQuery = ref('');\nconst searchError = ref('');")
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s=s.replace('result.value = null; overview.value = null;', "result.value = null; searchError.value = ''; overview.value = null;")
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start=s.index('async function test() {');end=s.index('\nasync function download()',start)
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s=s[:start]+'''async function test() {
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if (busy.value) return;
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result.value = null; searchError.value = '';
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if (!single.value) { searchError.value = '请先选择具体账号'; return; }
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const text = testQuery.value.trim();
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const length = Array.from(text).length;
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if (length < 2) { searchError.value = '请输入至少 2 个字符的检索问题'; return; }
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if (length > 2000) { searchError.value = '检索问题不能超过 2000 个字符'; return; }
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testQuery.value = text;
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const id = accountId.value;
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const generation = detailGeneration;
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busy.value = true;
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try {
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const found = await searchKnowledge(id, text);
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if (generation === detailGeneration) result.value = found;
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} catch (error) {
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if (generation === detailGeneration) searchError.value = requestErrorMessage(error, '检索失败，请稍后重试');
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} finally { busy.value = false; }
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}'''+s[end:]
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s=s.replace(' <Input.Search v-model:value="testQuery" placeholder="输入一个真实业务问题"', ' <Alert v-if="single && overview && !overview.counts.published" class="mb-3" type="info" show-icon message="当前账号暂无已发布知识，请先审核并发布知识后再测试检索。" />\n <Input.Search v-model:value="testQuery" placeholder="输入一个真实业务问题（2–2000 个字符）"')
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s=s.replace(':loading="busy" @search="test" />', ':loading="busy" @search="test" @change="searchError = \'\'" />\n <Alert v-if="searchError" class="mt-3" type="error" show-icon :message="searchError" />')
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s=s.replace('description="没有可靠命中。请补充问题信息，或整理相应知识。"', ':description="overview && !overview.counts.published ? \'当前账号没有已发布知识，审核通过后还需发布才能检索。\' : \'没有可靠命中。请补充问题信息，或发布相应知识。\'"')
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p.write_text(s,encoding='utf-8',newline='\n')
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p=root/'wechat_rpa/knowledge_api.py';s=p.read_text(encoding='utf-8')
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s=s.replace('from pydantic import BaseModel, Field', 'from pydantic import BaseModel, Field, field_validator')
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s=s.replace('class SearchBody(BaseModel):\n query: str = Field(min_length=2, max_length=2000)', '''class SearchBody(BaseModel):
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query: str = Field(min_length=2, max_length=2000)
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@field_validator('query', mode='before')
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@classmethod
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def trim_query(cls, value):
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return value.strip() if isinstance(value, str) else value''')
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p.write_text(s,encoding='utf-8',newline='\n')
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print('Search validation and structured error display updated.')
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