qixinbo
129 lines
4.2 KiB
Python
129 lines
4.2 KiB
Python
from typing import Any, Dict, List, Optional, Literal, Union
|
|
from pydantic import BaseModel, Field
|
|
|
|
# Base Chart Schema
|
|
class ChartSchema(BaseModel):
|
|
class ChartType(BaseModel):
|
|
type: Literal["bar", "line", "area", "arc"]
|
|
|
|
class ChartEncoding(BaseModel):
|
|
field: str
|
|
type: Literal["ordinal", "quantitative", "nominal"]
|
|
title: str
|
|
|
|
title: str
|
|
mark: ChartType
|
|
encoding: ChartEncoding
|
|
|
|
class TemporalChartEncoding(ChartSchema.ChartEncoding):
|
|
type: Literal["temporal"] = Field(default="temporal")
|
|
timeUnit: str = Field(default="yearmonth")
|
|
|
|
# Line Chart
|
|
class LineChartSchema(ChartSchema):
|
|
class LineChartMark(BaseModel):
|
|
type: Literal["line"] = Field(default="line")
|
|
|
|
class LineChartEncoding(BaseModel):
|
|
x: Union[TemporalChartEncoding, ChartSchema.ChartEncoding]
|
|
y: ChartSchema.ChartEncoding
|
|
color: Optional[ChartSchema.ChartEncoding] = None
|
|
|
|
mark: LineChartMark
|
|
encoding: LineChartEncoding
|
|
|
|
# Multi Line Chart
|
|
class MultiLineChartSchema(ChartSchema):
|
|
class MultiLineChartMark(BaseModel):
|
|
type: Literal["line"] = Field(default="line")
|
|
|
|
class MultiLineChartTransform(BaseModel):
|
|
fold: List[str]
|
|
as_: List[str] = Field(alias="as")
|
|
|
|
class MultiLineChartEncoding(BaseModel):
|
|
x: Union[TemporalChartEncoding, ChartSchema.ChartEncoding]
|
|
y: ChartSchema.ChartEncoding
|
|
color: ChartSchema.ChartEncoding
|
|
|
|
mark: MultiLineChartMark
|
|
transform: List[MultiLineChartTransform]
|
|
encoding: MultiLineChartEncoding
|
|
|
|
# Bar Chart
|
|
class BarChartSchema(ChartSchema):
|
|
class BarChartMark(BaseModel):
|
|
type: Literal["bar"] = Field(default="bar")
|
|
|
|
class BarChartEncoding(BaseModel):
|
|
x: Union[TemporalChartEncoding, ChartSchema.ChartEncoding]
|
|
y: ChartSchema.ChartEncoding
|
|
color: Optional[ChartSchema.ChartEncoding] = None
|
|
|
|
mark: BarChartMark
|
|
encoding: BarChartEncoding
|
|
|
|
# Grouped Bar Chart
|
|
class GroupedBarChartSchema(ChartSchema):
|
|
class GroupedBarChartMark(BaseModel):
|
|
type: Literal["bar"] = Field(default="bar")
|
|
|
|
class GroupedBarChartEncoding(BaseModel):
|
|
x: Union[TemporalChartEncoding, ChartSchema.ChartEncoding]
|
|
y: ChartSchema.ChartEncoding
|
|
xOffset: ChartSchema.ChartEncoding
|
|
color: ChartSchema.ChartEncoding
|
|
|
|
mark: GroupedBarChartMark
|
|
encoding: GroupedBarChartEncoding
|
|
|
|
# Stacked Bar Chart
|
|
class StackedBarChartYEncoding(ChartSchema.ChartEncoding):
|
|
stack: Literal["zero"] = Field(default="zero")
|
|
|
|
class StackedBarChartSchema(ChartSchema):
|
|
class StackedBarChartMark(BaseModel):
|
|
type: Literal["bar"] = Field(default="bar")
|
|
|
|
class StackedBarChartEncoding(BaseModel):
|
|
x: Union[TemporalChartEncoding, ChartSchema.ChartEncoding]
|
|
y: StackedBarChartYEncoding
|
|
color: ChartSchema.ChartEncoding
|
|
|
|
mark: StackedBarChartMark
|
|
encoding: StackedBarChartEncoding
|
|
|
|
# Pie Chart
|
|
class PieChartSchema(ChartSchema):
|
|
class PieChartMark(BaseModel):
|
|
type: Literal["arc"] = Field(default="arc")
|
|
|
|
class PieChartEncoding(BaseModel):
|
|
theta: ChartSchema.ChartEncoding
|
|
color: ChartSchema.ChartEncoding
|
|
|
|
mark: PieChartMark
|
|
encoding: PieChartEncoding
|
|
|
|
# Area Chart
|
|
class AreaChartSchema(ChartSchema):
|
|
class AreaChartMark(BaseModel):
|
|
type: Literal["area"] = Field(default="area")
|
|
|
|
class AreaChartEncoding(BaseModel):
|
|
x: Union[TemporalChartEncoding, ChartSchema.ChartEncoding]
|
|
y: ChartSchema.ChartEncoding
|
|
|
|
mark: AreaChartMark
|
|
encoding: AreaChartEncoding
|
|
|
|
# Response Model
|
|
class ChartGenerationResponse(BaseModel):
|
|
reasoning: str = Field(..., description="Reasoning for the chart choice or why a chart cannot be generated")
|
|
chart_type: Literal[
|
|
"line", "multi_line", "bar", "pie", "grouped_bar", "stacked_bar", "area", ""
|
|
] = Field(..., description="The type of chart generated, or empty string if none")
|
|
# Using Dict[str, Any] allows LLM to output valid Vega-Lite spec directly, avoiding Pydantic strict model serialization issues with dynamic fields
|
|
chart_spec: Optional[Dict[str, Any]] = Field(None, description="The generated Vega-Lite chart specification")
|
|
can_visualize: bool = Field(..., description="Whether the data can be visualized")
|