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import re
from typing import (
Any,
Dict,
List,
Optional,
)
from .dataclass import OptionalField
from .operator import StreamInstanceOperator
from .type_utils import isoftype
class Format(StreamInstanceOperator):
pass
def apply_capital_new_line_notation(text: str) -> str:
r"""Transforms a given string by applying the Capital New Line Notation.
The Capital New Line Notation (\N) is designed to manage newline behavior in a string efficiently.
This custom notation aims to consolidate multiple newline characters (\n) into a single newline under
specific conditions, with tailored handling based on whether there's preceding text. The function
distinguishes between two primary scenarios:
1. If there's text (referred to as a prefix) followed by any number of \n characters and then one or
more \N, the entire sequence is replaced with a single \n. This effectively simplifies multiple
newlines and notation characters into a single newline when there's preceding text.
2. If the string starts with \n characters followed by \N without any text before this sequence, or if
\N is at the very beginning of the string, the sequence is completely removed. This case is
applicable when the notation should not introduce any newlines due to the absence of preceding text.
Args:
text (str): The input string to be transformed, potentially containing the Capital New Line Notation
(\N) mixed with actual newline characters (\n).
Returns:
str: The string after applying the Capital New Line Notation rules, which either consolidates multiple
newlines and notation characters into a single newline when text precedes them, or removes the
notation and any preceding newlines entirely if no text is present before the notation.
Examples:
>>> apply_capital_new_line_notation("Hello World\\n\\n\N")
'Hello World\\n'
>>> apply_capital_new_line_notation("\\n\\n\NGoodbye World")
'Goodbye World'
>>> apply_capital_new_line_notation("\N")
''
"""
# If sequence of \N or \n that ends with \N has no characters before delete it
text = re.sub(r"^(?:\n|\\N)*\\N", "", text)
# Replace every sequence of \N or \n that ends with \N with \n
return re.sub(r"[\n(\\N)]*(\\N)+", r"\n", text)
class SystemFormat(Format):
r"""Generates the whole input to the model, from constant strings that are given as args, and from values found in specified fields of the instance.
Important: formats can use '\N' notations that means new-line if no new-line before and no empty string before.
SystemFormat expects the input instance to contain:
1. A field named "system_prompt" whose value is a string (potentially empty) that delivers a task independent opening text.
2. A field named "source" whose value is a string verbalizing the original values in the instance (as read
from the source dataset), in the context of the underlying task.
3. A field named "instruction" that contains a (non-None) string.
4. A field named with the value in arg 'demos_field', containing a list of dicts, each dict with fields "source"
and "target", representing a single demo.
5. A field named "target_prefx" that contains a string to prefix the target in both each demo, and to end the whole generated prompt
SystemFormat formats the above fields into a single string to be inputted to the model. This string overwrites
field "source" of the instance. Formatting is driven by two args: 'demo_format' and 'model_input_format'.
SystemFormat also pops fields "system_prompt", "instruction", "target_prefix", and the field containing the demos out from the input instance.
Args:
demos_field (str): the name of the field that contains the demos, being a list of dicts, each with "source" and "target" keys
demo_format (str): formatting string for a single demo, combining fields "source" and "target"
model_input_format (str) overall product format, combining instruction and source (as read from fields "instruction"
and "source" of the input instance), together with demos (as formatted into one string)
format_args: Dict[str,str]: additional format args to be used when formatting the different format strings
Example:
when input instance:
.. code-block::
{
"source": "1+1",
"target": "2",
"instruction": "Solve the math exercises.",
"demos": [{"source": "1+2", "target": "3"}, {"source": "4-2", "target": "2"}]
}
is processed by
.. code-block::
system_format = SystemFormat(
demos_field="demos",
demo_format="Input: {source}\nOutput: {target}\n\n",
model_input_format="Instruction: {instruction}\n\n{demos}Input: {source}\nOutput: ",
)
the resulting instance is:
.. code-block::
{
"target": "2",
"source": "Instruction: Solve the math exercises.\n\nInput: 1+2\nOutput: 3\n\nInput: 4-2\nOutput: 2\n\nInput: 1+1\nOutput: ",
}
"""
demos_field: str = "demos"
demo_format: str = "{source}\n{target_prefix}{target}\n\n" # example: "User: {source}\nAgent: {target}\n\n"
model_input_format: str = (
"{system_prompt}{instruction}{demos}{source}\n{target_prefix}"
)
format_args: Dict[str, str] = OptionalField(default_factory=dict)
@staticmethod
def _retrieve_field_and_assert_not_none(instance, field_name) -> str:
if field_name is not None and field_name in instance:
field_value = instance[field_name]
assert (
field_value is not None
), f"Value in field '{field_name}' should not be none. Received instance: {instance}"
return field_value
return ""
def process(
self, instance: Dict[str, Any], stream_name: Optional[str] = None
) -> Dict[str, Any]:
assert (
"source" in instance
), f"field 'source' is expected to be in the input instance. Received instance: {instance}"
source = self._retrieve_field_and_assert_not_none(
instance=instance, field_name="source"
)
instruction = self._retrieve_field_and_assert_not_none(
instance=instance, field_name="instruction"
)
target_prefix = self._retrieve_field_and_assert_not_none(
instance=instance, field_name="target_prefix"
)
system_prompt = self._retrieve_field_and_assert_not_none(
instance=instance, field_name="system_prompt"
)
if "target_prefix" in instance:
instance.pop("target_prefix")
if "instruction" in instance:
instance.pop("instruction")
if "system_prompt" in instance:
instance.pop("system_prompt")
demo_instances = []
if self.demos_field is not None and self.demos_field in instance:
demos = instance[self.demos_field]
assert (
demos is not None and isoftype(demos, List[Dict[str, Any]])
), f"A list of dict-s is expected in field '{self.demos_field}'. Received instance: {instance}"
demo_instances = demos
instance.pop(self.demos_field)
demos_string = ""
for demo_instance in demo_instances:
demo_str = self.demo_format.format(
target_prefix=target_prefix,
source=demo_instance["source"],
target=demo_instance["target"],
**self.format_args,
)
demos_string += demo_str
output = self.model_input_format.format(
system_prompt=system_prompt,
instruction=instruction,
demos=demos_string,
source=source,
target_prefix=target_prefix,
**self.format_args,
)
output = apply_capital_new_line_notation(output)
instance["source"] = output
return instance
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