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import csv
import io
from abc import abstractmethod
from typing import Any, Dict, List, Union
from .dataclass import AbstractField, Field
from .operators import InstanceFieldOperator
from .settings_utils import get_constants
from .type_utils import isoftype, to_type_string
from .types import Dialog, Document, Image, MultiDocument, Number, Table, Video
constants = get_constants()
class Serializer(InstanceFieldOperator):
def process_instance_value(self, value: Any, instance: Dict[str, Any]) -> str:
return self.serialize(value, instance)
@abstractmethod
def serialize(self, value: Any, instance: Dict[str, Any]) -> str:
pass
class DefaultSerializer(Serializer):
def serialize(self, value: Any, instance: Dict[str, Any]) -> str:
return str(value)
class SingleTypeSerializer(InstanceFieldOperator):
serialized_type: object = AbstractField()
def process_instance_value(self, value: Any, instance: Dict[str, Any]) -> str:
if not isoftype(value, self.serialized_type):
raise ValueError(
f"SingleTypeSerializer for type {self.serialized_type} should get this type. got {to_type_string(value)}"
)
return self.serialize(value, instance)
class DefaultListSerializer(Serializer):
def serialize(self, value: Any, instance: Dict[str, Any]) -> str:
if isinstance(value, list):
return ", ".join(str(item) for item in value)
return str(value)
class ListSerializer(SingleTypeSerializer):
serialized_type = list
def serialize(self, value: Any, instance: Dict[str, Any]) -> str:
return ", ".join(str(item) for item in value)
class DialogSerializer(SingleTypeSerializer):
serialized_type = Dialog
def serialize(self, value: Dialog, instance: Dict[str, Any]) -> str:
# Convert the Dialog into a string representation, typically combining roles and content
return "\n".join(f"{turn['role']}: {turn['content']}" for turn in value)
class NumberSerializer(SingleTypeSerializer):
serialized_type = Number
def serialize(self, value: Number, instance: Dict[str, Any]) -> str:
# Check if the value is an integer or a float
if isinstance(value, int):
return str(value)
# For floats, format to one decimal place
if isinstance(value, float):
return f"{value:.1f}"
raise ValueError("Unsupported type for NumberSerializer")
class NumberQuantizingSerializer(NumberSerializer):
serialized_type = Number
quantum: Union[float, int] = 0.1
def serialize(self, value: Number, instance: Dict[str, Any]) -> str:
if isoftype(value, Number):
quantized_value = round(value / self.quantum) / (1 / self.quantum)
if isinstance(self.quantum, int):
quantized_value = int(quantized_value)
return str(quantized_value)
raise ValueError("Unsupported type for NumberSerializer")
class TableSerializer(SingleTypeSerializer):
serialized_type = Table
def serialize(self, value: Table, instance: Dict[str, Any]) -> str:
output = io.StringIO()
writer = csv.writer(output, lineterminator="\n")
# Write the header and rows to the CSV writer
writer.writerow(value["header"])
writer.writerows(value["rows"])
# Retrieve the CSV string
return output.getvalue().strip()
class ImageSerializer(SingleTypeSerializer):
serialized_type = Image
def serialize(self, value: Image, instance: Dict[str, Any]) -> str:
if "media" not in instance:
instance["media"] = {}
if "images" not in instance["media"]:
instance["media"]["images"] = []
idx = len(instance["media"]["images"])
instance["media"]["images"].append(
{"image": value["image"], "format": value["format"]}
)
value["image"] = f"media/images/{idx}"
return f'<{constants.image_tag} src="media/images/{idx}">'
class VideoSerializer(ImageSerializer):
serialized_type = Video
def serialize(self, value: Video, instance: Dict[str, Any]) -> str:
serialized_images = []
for image in value:
image = super().serialize(image, instance)
serialized_images.append(image)
return "".join(serialized_images)
class DocumentSerializer(SingleTypeSerializer):
serialized_type = Document
def serialize(self, value: Document, instance: Dict[str, Any]) -> str:
return f"# {value['title']}\n\n{value['body']}"
class MultiDocumentSerializer(DocumentSerializer):
serialized_type = MultiDocument
def serialize(self, value: MultiDocument, instance: Dict[str, Any]) -> str:
documents = []
for document in value:
documents.append(super().serialize(document, instance))
return "\n\n".join(documents)
class MultiTypeSerializer(Serializer):
serializers: List[SingleTypeSerializer] = Field(
default_factory=lambda: [
DocumentSerializer(),
MultiDocumentSerializer(),
ImageSerializer(),
VideoSerializer(),
TableSerializer(),
DialogSerializer(),
]
)
def verify(self):
super().verify()
self._verify_serializers(self.serializers)
def _verify_serializers(self, serializers):
if not isoftype(serializers, List[SingleTypeSerializer]):
raise ValueError(
"MultiTypeSerializer requires the list of serializers to be List[SingleTypeSerializer]."
)
def add_serializers(self, serializers: List[SingleTypeSerializer]):
self._verify_serializers(serializers)
self.serializers = serializers + self.serializers
def serialize(self, value: Any, instance: Dict[str, Any]) -> Any:
for serializer in self.serializers:
if isoftype(value, serializer.serialized_type):
return serializer.serialize(value, instance)
return str(value)
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