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{"properties": {"type": {"const": "normalize"}}}, "then": { "properties": { "data": {"$ref": "#/$defs/xy_binding"}, "parameters": {"$ref": "#/$defs/normalize_parameters"} } } }, { "if": {"properties": {"type": {"const": "smooth"}}}, "then": { "properties": { "data": {"$ref": "#/$defs/xy_binding"}, "parameters": {"$ref": "#/$defs/smooth_parameters"} } } }, { "if": {"properties": {"type": {"const": "differentiate"}}}, "then": { "properties": { "data": {"$ref": "#/$defs/xy_binding"}, "parameters": {"$ref": "#/$defs/differentiate_parameters"} } } }, { "if": {"properties": {"type": {"const": "integrate"}}}, "then": { "properties": { "data": {"$ref": "#/$defs/xy_binding"}, "parameters": {"$ref": "#/$defs/integrate_parameters"} } } }, { "if": {"properties": {"type": {"const": "linear_fit"}}}, "then": { "properties": { "data": {"$ref": "#/$defs/xy_binding"}, "parameters": {"$ref": "#/$defs/linear_fit_parameters"} } } } ] } } }, "outputs": { "type": "array", "maxItems": 1, "uniqueItems": true, "items": { "type": "object", "required": ["key", "type", "format"], "additionalProperties": false, "properties": { "key": {"const": "result_workbook"}, "type": {"const": "table"}, "format": {"const": "xlsx"} } } } }, "$defs": { "data_binding": { "type": "object", "required": ["input"], "additionalProperties": false, "properties": { "input": {"type": "string", "pattern": "^[a-z][a-z0-9_]{0,31}$"}, "x": {"type": "string", "minLength": 1, "maxLength": 128}, "y": {"type": "string", "minLength": 1, "maxLength": 128} } }, "xy_binding": { "type": "object", "required": ["input", "x", "y"], "additionalProperties": false, "properties": { "input": {"type": "string", "pattern": "^[a-z][a-z0-9_]{0,31}$"}, "x": {"type": "string", "minLength": 1, "maxLength": 128}, "y": {"type": "string", "minLength": 1, "maxLength": 128} } }, "data_check_parameters": { "type": "object", "description": "数据体检始终返回诊断产物；命中 fail_on 时 diagnostics.passed=false，但 Job 本身成功完成，供调用方决定是否继续分析。", "required": ["fail_on"], "additionalProperties": false, "properties": { "fail_on": { "type": "array", "uniqueItems": true, "items": { "enum": [ "missing", "non_finite", "duplicate_x", "non_monotonic_x", "uneven_spacing" ] } } } }, "normalize_parameters": { "type": "object", "description": "max_abs 使用最大绝对值；area 使用有符号梯形积分；reference 在数据范围内按 X 线性插值得到归一化除数。", "required": ["method"], "additionalProperties": false, "properties": { "method": {"enum": ["max_abs", "area", "reference"]}, "reference_x": {"type": "number"} }, "allOf": [ { "if": {"properties": {"method": {"const": "reference"}}}, "then": {"required": ["reference_x"]}, "else": {"not": {"required": ["reference_x"]}} } ] }, "smooth_parameters": { "type": "object", "description": "固定局部多项式平滑；窗口必须为奇数，边界使用平移后的完整窗口，不补造数据点。", "required": ["method", "window", "polynomial_order"], "additionalProperties": false, "properties": { "method": {"const": "savitzky_golay"}, "window": {"type": "integer", "minimum": 5, "maximum": 101}, "polynomial_order": {"type": "integer", "minimum": 2, "maximum": 5} } }, "differentiate_parameters": { "type": "object", "description": "使用支持非等间距 X 的二阶边界数值梯度，按 order 重复求导。", "required": ["order"], "additionalProperties": false, "properties": { "order": {"type": "integer", "enum": [1, 2]} } }, "integrate_parameters": { "type": "object", "description": "使用梯形积分输出从首个 X 开始的累计积分；from/to 省略时报告完整范围积分。", "additionalProperties": false, "properties": { "from": {"type": "number"}, "to": {"type": "number"} } }, "linear_fit_parameters": { "type": "object", "description": "固定最小二乘线性拟合并输出 95% t 置信区间、R²、RMSE 和残差；同时在 OPJU 中生成 Origin 原生线性拟合报告。", "required": ["include_intercept", "confidence_level"], "additionalProperties": false, "properties": { "include_intercept": {"type": "boolean"}, "confidence_level": {"const": 0.95} } } } } }