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feat: multimodal image clients, workspaces, Tushare skill, test fixes
- Replace monolithic image_message_client with HTTP/OCR/legacy modules; tighten OpenAI transport + tool schemas for multimodal downgrade to OCR specialist path. - Add image/stock workspace prompts (META/SOUL/ROLE_SYSTEM); register experts; tweak specialist agent/direct loop/query_image_attachment. - Add bundled runtime/skills/tushare-finance (references, api_client, SKILL metadata). - Document OCR-related env vars; admin chat tweaks; README; weixin_install Ensure-OfficialPluginRuntimeDeps helper. - Tests: multimodal downgrade + OCR coverage, strict tool pairing in attachment replay guard, workspace contract skips _internal/_system dirs, router/trace/prompt guards. Co-authored-by: Cursor <cursoragent@cursor.com>
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runtime/skills/tushare-finance/reference/接口文档/股票历史列表.md
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runtime/skills/tushare-finance/reference/接口文档/股票历史列表.md
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# 股票历史列表
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**文档ID**: 262
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**原始链接**: https://tushare.pro/document/2?doc_id=262
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---
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## 股票历史列表（历史每天股票列表）
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接口：bak_basic描述：获取备用基础列表，数据从2016年开始限量：单次最大7000条，可以根据日期参数循环获取历史，正式权限需要5000积分。
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输入参数
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<table>
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<thead>
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<tr>
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<th>名称</th>
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<th>类型</th>
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<th>必选</th>
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<th>描述</th>
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</tr>
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</thead>
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<tbody><tr>
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<td>trade_date</td>
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<td>str</td>
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<td>N</td>
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<td>交易日期</td>
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</tr>
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<tr>
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<td>ts_code</td>
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<td>str</td>
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<td>N</td>
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<td>股票代码</td>
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</tr>
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</tbody></table>
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输出参数
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<table>
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<thead>
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<tr>
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<th>名称</th>
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<th>类型</th>
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<th>默认显示</th>
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<th>描述</th>
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</tr>
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</thead>
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<tbody><tr>
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<td>trade_date</td>
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<td>str</td>
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<td>Y</td>
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<td>交易日期</td>
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</tr>
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<tr>
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<td>ts_code</td>
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<td>str</td>
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<td>Y</td>
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<td>TS股票代码</td>
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</tr>
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<tr>
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<td>name</td>
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<td>str</td>
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<td>Y</td>
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<td>股票名称</td>
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</tr>
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<tr>
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<td>industry</td>
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<td>str</td>
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<td>Y</td>
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<td>行业</td>
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</tr>
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<tr>
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<td>area</td>
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<td>str</td>
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<td>Y</td>
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<td>地域</td>
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</tr>
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<tr>
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<td>pe</td>
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<td>float</td>
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<td>Y</td>
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<td>市盈率（动）</td>
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</tr>
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<tr>
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<td>float_share</td>
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<td>float</td>
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<td>Y</td>
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<td>流通股本（亿）</td>
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</tr>
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<tr>
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<td>total_share</td>
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<td>float</td>
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<td>Y</td>
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<td>总股本（亿）</td>
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</tr>
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<tr>
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<td>total_assets</td>
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<td>float</td>
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<td>Y</td>
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<td>总资产（亿）</td>
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</tr>
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<tr>
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<td>liquid_assets</td>
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<td>float</td>
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<td>Y</td>
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<td>流动资产（亿）</td>
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</tr>
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<tr>
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<td>fixed_assets</td>
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<td>float</td>
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<td>Y</td>
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<td>固定资产（亿）</td>
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</tr>
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<tr>
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<td>reserved</td>
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<td>float</td>
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<td>Y</td>
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<td>公积金</td>
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</tr>
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<tr>
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<td>reserved_pershare</td>
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<td>float</td>
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<td>Y</td>
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<td>每股公积金</td>
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</tr>
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<tr>
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<td>eps</td>
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<td>float</td>
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<td>Y</td>
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<td>每股收益</td>
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</tr>
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<tr>
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<td>bvps</td>
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<td>float</td>
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<td>Y</td>
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<td>每股净资产</td>
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</tr>
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<tr>
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<td>pb</td>
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<td>float</td>
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<td>Y</td>
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<td>市净率</td>
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</tr>
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<tr>
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<td>list_date</td>
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<td>str</td>
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<td>Y</td>
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<td>上市日期</td>
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</tr>
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<tr>
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<td>undp</td>
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<td>float</td>
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<td>Y</td>
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<td>未分配利润</td>
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</tr>
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<tr>
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<td>per_undp</td>
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<td>float</td>
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<td>Y</td>
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<td>每股未分配利润</td>
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</tr>
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<tr>
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<td>rev_yoy</td>
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<td>float</td>
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<td>Y</td>
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<td>收入同比（%）</td>
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</tr>
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<tr>
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<td>profit_yoy</td>
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<td>float</td>
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<td>Y</td>
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<td>利润同比（%）</td>
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</tr>
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<tr>
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<td>gpr</td>
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<td>float</td>
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<td>Y</td>
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<td>毛利率（%）</td>
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</tr>
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<tr>
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<td>npr</td>
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<td>float</td>
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<td>Y</td>
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<td>净利润率（%）</td>
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</tr>
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<tr>
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<td>holder_num</td>
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<td>int</td>
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<td>Y</td>
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<td>股东人数</td>
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</tr>
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</tbody></table>
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接口示例
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```
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pro = ts.pro_api()
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df = pro.bak_basic(trade_date='20211012', fields='trade_date,ts_code,name,industry,pe')
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```
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数据样例
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```
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trade_date ts_code name industry pe
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0 20211012 300605.SZ 恒锋信息 软件服务 56.4400
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1 20211012 301017.SZ 漱玉平民 医药商业 58.7600
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2 20211012 300755.SZ 华致酒行 其他商业 23.0000
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3 20211012 300255.SZ 常山药业 生物制药 24.9900
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4 20211012 688378.SH 奥来德 专用机械 24.9600
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... ... ... ... ... ...
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4529 20211012 688257.SH 新锐股份 机械基件 0.0000
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4530 20211012 688255.SH 凯尔达 机械基件 0.0000
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4531 20211012 688211.SH 中科微至 专用机械 0.0000
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4532 20211012 605567.SH 春雪食品 食品 0.0000
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4533 20211012 605566.SH 福莱蒽特 染料涂料 0.0000
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```
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