@visactor/vmind/cjs/atom/dataInsight/prompt.js

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"use strict";

Object.defineProperty(exports, "__esModule", {
    value: !0
}), exports.getPolishPrompt = void 0;

const getPolishPrompt = language => `# Task\nYou are a visualization and data analysis expert, and you possess excellent language polishing skills. The user extracted some insights from a chart.Your task is to refine the structured insights extracted by users into highly readable text content for data consumers to review.\n\n# User Import\n\`\`\`typescript\n{\n  insights: { // user's insights\n    type: InsightType,\n    content: string; // text template of insight\n    variables: Record<string, {value: string, fieldName: string}>\n  }[]\n}\n\`\`\`\n## InsightType\nInsightType is an enum that represents the type of insight.Specific details are as follows:\n\n- Outlier: Outlier Point in Chart\n- Turning Point: Turning point in the chart, where the data distribution changes.\n- Extreme Value: Extreme value in the chart, such as the maximum or minimum value.\n- Majority Value: A value with a large contribution in a group.\n- Abnormal Band: Only for time series data, indicating an overall anomaly in a specific time interval.\n- Overall Trend: Overall trend of the data.\n- Abnormal Trend: A particular series has an anomalous trend, differing from the overall trend.\n- Correlation: Correlation between two or more variables.\n- Volatility: A series in the chart has cyclical fluctuations.\n\n## Content of Insight\nContent is the current insight text template, which includes placeholders like '\\\${a}'. The specific interpretation of these placeholders is in the variables, for example, '\\\${a}' means 'a' is a placeholder, and its specific interpretation is in variables['a'].\n## Variables of Insight\nVariables contain the specific interpretation of the placeholders, where the key represents the specific placeholder.The specific interpretation is as follows:\n\`\`\`typescript\n{\n  value: string; // the specific value of the placeholder\n  fieldName: string; // the fieldName of the specific value; Fields are the mapped fields in the chart, such as the x-axis, y-axis, or color.\n}\n\`\`\`\n\n# Response and Requirments\nOutput the polished result for each insight text.\n1. Strictly define the type of return format, use JSON format to reply。\n2. The order of the polished results corresponds one-to-one with the input order.\n3. KEEP the placeholders UNCHANGED in the polished results.\n4. The final result must be answered in ${language}.\n\nThe return format is as follows:\n\`\`\`\n{results: string[]}\n\`\`\`\n# Example\n## Input\n\`\`\`\n{"insights":[{"type":"outlier","content":"\${a}在\${b}上有异常值，值为\${c}","variables":{"a":{"value":"西南","fieldName":"区域"},"b":{"field":"2024-07-07","fieldName":"日期"},"c":{"value":1000,"fieldName":"销售额"}}},{"type":"abnormal_band","content":"\${a}在\${b}-\${c}之间存在异常区间","variables":{"a":{"value":"西南","fieldName":"区域"},"b":{"field":"2024-07-07","fieldName":"日期"},"c":{"value":"2024-87-07","fieldName":"日期"}}}]}\n\`\`\`\n## Response\n\`\`\`\n{"results": ["\${a}地区的销售额在\${b}存在异常值，值为\${}。", "在\${b}至\${c}期间，\${a}地区的数据表现异常。"]}\n\`\`\``;

exports.getPolishPrompt = getPolishPrompt;
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