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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>
126 lines
2.5 KiB
Markdown
126 lines
2.5 KiB
Markdown
# 电影日度票房
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**文档ID**: 115
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**原始链接**: https://tushare.pro/document/2?doc_id=115
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---
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## 电影日度票房
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接口：bo_daily描述：获取电影日度票房数据更新：当日更新上一日数据数据历史： 数据从2018年9月开始，更多历史数据正在补充数据权限：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 （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>day_amount</td>
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<td>float</td>
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<td>Y</td>
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<td>当日票房（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_daily(date='20181014')
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```
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数据示例
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```
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date name avg_price day_amount total list_day p_pc \
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0 20181014 无双 37.0 4720.0 93611.0 15 16
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1 20181014 找到你 32.0 1893.0 15196.0 10 14
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2 20181014 影 36.0 1763.0 55370.0 15 11
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3 20181014 嗝嗝老师 30.0 1173.0 2912.0 3 13
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4 20181014 李茶的姑妈 35.0 864.0 57241.0 15 9
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5 20181014 胖子行动队 34.0 597.0 23671.0 15 10
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6 20181014 悲伤逆流成河 33.0 426.0 33522.0 24 9
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7 20181014 阿凡提之奇缘历险 34.0 280.0 7245.0 14 10
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8 20181014 玛雅蜜蜂历险记 31.0 277.0 579.0 3 8
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9 20181014 超能泰坦 31.0 189.0 1197.0 3 2
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```
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