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- 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>
125 lines
2.4 KiB
Markdown
125 lines
2.4 KiB
Markdown
# 电影周度票房
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**文档ID**: 114
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**原始链接**: https://tushare.pro/document/2?doc_id=114
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---
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## 电影周度票房
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接口：bo_weekly描述：获取周度票房数据数据更新：本周更新上一周数据数据历史： 数据从2008年第一周开始，超过10年历史数据。数据权限：用户需要至少500积分才可以调取，具体请参阅积分获取办法
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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>date</td>
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<td>str</td>
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<td>Y</td>
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<td>日期（每周一日期，格式YYYYMMDD）</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>date</td>
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<td>str</td>
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<td>Y</td>
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<td>日期</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>影片名称</td>
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</tr>
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<tr>
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<td>avg_price</td>
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<td>float</td>
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<td>Y</td>
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<td>平均票价</td>
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</tr>
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<tr>
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<td>week_amount</td>
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<td>float</td>
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<td>Y</td>
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<td>当周票房（万）</td>
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</tr>
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<tr>
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<td>total</td>
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<td>float</td>
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<td>Y</td>
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<td>累计票房（万）</td>
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</tr>
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<tr>
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<td>list_day</td>
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<td>int</td>
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<td>Y</td>
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<td>上映天数</td>
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</tr>
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<tr>
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<td>p_pc</td>
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<td>int</td>
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<td>Y</td>
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<td>场均人次</td>
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</tr>
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<tr>
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<td>wom_index</td>
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<td>float</td>
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<td>Y</td>
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<td>口碑指数</td>
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</tr>
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<tr>
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<td>up_ratio</td>
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<td>float</td>
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<td>Y</td>
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<td>环比变化 （%）</td>
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</tr>
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<tr>
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<td>rank</td>
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<td>int</td>
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<td>Y</td>
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<td>排名</td>
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</tr>
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</tbody></table>
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接口使用
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```
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pro = ts.pro_api()
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#或者
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#pro = ts.pro_api('your token')
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df = pro.bo_weekly(date='20181008')
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```
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数据示例
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```
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date name avg_price week_amount total list_day p_pc \
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0 20181008 无双 36.0 25640.0 93705.0 15 12
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1 20181008 影 36.0 10277.0 55406.0 15 8
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2 20181008 找到你 32.0 9318.0 15234.0 10 11
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3 20181008 李茶的姑妈 35.0 5823.0 57263.0 15 6
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4 20181008 胖子行动队 34.0 3875.0 23683.0 15 7
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5 20181008 嗝嗝老师 30.0 2917.0 2941.0 3 10
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6 20181008 悲伤逆流成河 34.0 2475.0 33532.0 24 7
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7 20181008 超能泰坦 30.0 1202.0 1202.0 3 4
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8 20181008 阿凡提之奇缘历险 34.0 675.0 7251.0 14 5
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```
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