| | from abc import ABC, abstractmethod |
| | from typing import Any, Dict, List |
| |
|
| | from .dataclass import InternalField |
| | from .formats import Format, ICLFormat |
| | from .instructions import Instruction |
| | from .operator import Operator, SequntialOperator, StreamInstanceOperator |
| | from .random_utils import random |
| | from .templates import Template |
| |
|
| |
|
| | class Renderer(ABC): |
| | pass |
| | |
| | |
| | |
| |
|
| |
|
| | class RenderTemplate(Renderer, StreamInstanceOperator): |
| | template: Template |
| | random_reference: bool = False |
| | skip_rendered_instance: bool = True |
| |
|
| | def process(self, instance: Dict[str, Any], stream_name: str = None) -> Dict[str, Any]: |
| | if self.skip_rendered_instance: |
| | if ( |
| | "inputs" not in instance |
| | and "outputs" not in instance |
| | and "source" in instance |
| | and "target" in instance |
| | and "references" in instance |
| | ): |
| | return instance |
| |
|
| | inputs = instance.pop("inputs") |
| | outputs = instance.pop("outputs") |
| |
|
| | source = self.template.process_inputs(inputs) |
| | targets = self.template.process_outputs(outputs) |
| |
|
| | if self.template.is_multi_reference: |
| | references = targets |
| | if self.random_reference: |
| | target = random.choice(references) |
| | else: |
| | if len(references) == 0: |
| | raise ValueError("No references found") |
| | target = references[0] |
| | else: |
| | references = [targets] |
| | target = targets |
| |
|
| | instance.update( |
| | { |
| | "source": source, |
| | "target": target, |
| | "references": references, |
| | } |
| | ) |
| |
|
| | return instance |
| |
|
| |
|
| | class RenderDemonstrations(RenderTemplate): |
| | demos_field: str |
| |
|
| | def process(self, instance: Dict[str, Any], stream_name: str = None) -> Dict[str, Any]: |
| | demos = instance.get(self.demos_field, []) |
| |
|
| | processed_demos = [] |
| | for demo_instance in demos: |
| | demo_instance = super().process(demo_instance) |
| | processed_demos.append(demo_instance) |
| |
|
| | instance[self.demos_field] = processed_demos |
| |
|
| | return instance |
| |
|
| |
|
| | class RenderInstruction(Renderer, StreamInstanceOperator): |
| | instruction: Instruction |
| |
|
| | def process(self, instance: Dict[str, Any], stream_name: str = None) -> Dict[str, Any]: |
| | instance["instruction"] = self.instruction() |
| | return instance |
| |
|
| |
|
| | class RenderFormat(Renderer, StreamInstanceOperator): |
| | format: Format |
| | demos_field: str = None |
| |
|
| | def process(self, instance: Dict[str, Any], stream_name: str = None) -> Dict[str, Any]: |
| | demos_instances = instance.pop(self.demos_field, None) |
| | if demos_instances is not None: |
| | instance["source"] = self.format.format(instance, demos_instances=demos_instances) |
| | else: |
| | instance["source"] = self.format.format(instance) |
| | return instance |
| |
|
| |
|
| | class StandardRenderer(Renderer, SequntialOperator): |
| | template: Template |
| | instruction: Instruction = None |
| | demos_field: str = None |
| | format: ICLFormat = None |
| |
|
| | steps: List[Operator] = InternalField(default_factory=list) |
| |
|
| | def prepare(self): |
| | self.steps = [ |
| | RenderTemplate(template=self.template), |
| | RenderDemonstrations(template=self.template, demos_field=self.demos_field), |
| | RenderInstruction(instruction=self.instruction), |
| | RenderFormat(format=self.format, demos_field=self.demos_field), |
| | ] |
| |
|
| | def get_postprocessors(self): |
| | return self.template.get_postprocessors() |
| |
|