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feat: Alpaca pydantic class for easy conversion, validation, and stru…
…ctured output generation (#1202) Signed-off-by: Caelum Forder <caelum119@gmail.com> Co-authored-by: Wendong-Fan <133094783+Wendong-Fan@users.noreply.github.com> Co-authored-by: Wendong <w3ndong.fan@gmail.com>
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# ========= Copyright 2023-2024 @ CAMEL-AI.org. All Rights Reserved. ========= | ||
# Licensed under the Apache License, Version 2.0 (the "License"); | ||
# you may not use this file except in compliance with the License. | ||
# You may obtain a copy of the License at | ||
# | ||
# http://www.apache.org/licenses/LICENSE-2.0 | ||
# | ||
# Unless required by applicable law or agreed to in writing, software | ||
# distributed under the License is distributed on an "AS IS" BASIS, | ||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
# See the License for the specific language governing permissions and | ||
# limitations under the License. | ||
# ========= Copyright 2023-2024 @ CAMEL-AI.org. All Rights Reserved. ========= | ||
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import re | ||
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from pydantic import BaseModel, Field, field_validator | ||
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class AlpacaItem(BaseModel): | ||
r"""Represents an instruction-response item in the Alpaca format. | ||
Appropripate for both cases where input field is empty, or populated. | ||
Provides parsing from string format using the class method from_string(). | ||
Args: | ||
instruction (str): The instruction/question/prompt | ||
input (str): Input context or examples (put empty string if none) | ||
output (str): The response/answer to the instruction | ||
""" | ||
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instruction: str = Field(description="The instruction/question/prompt") | ||
input: str = Field( | ||
description="Optional context or input for the task." | ||
" For example, when the instruction is \"Summarize the " | ||
"following article\", the input is the article." | ||
) | ||
output: str = Field(description="The response/answer to the instruction") | ||
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@field_validator('instruction', 'output') | ||
def no_section_markers(cls, value: str) -> str: | ||
r"""Ensures fields don't contain section markers like '### | ||
Response:' | ||
""" | ||
if ( | ||
'### Response' in value | ||
or '### Instruction' in value | ||
or '### Input' in value | ||
): | ||
raise ValueError("Field cannot contain section markers") | ||
return value.strip() | ||
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@classmethod | ||
def from_string(cls, text: str) -> "AlpacaItem": | ||
r"""Creates an AlpacaItem from a formatted string. | ||
Args: | ||
text: String in either of these formats: | ||
With input: | ||
### Instruction: | ||
{instruction} | ||
### Input: | ||
{input} | ||
### Response: | ||
{response} | ||
Without input: | ||
### Instruction: | ||
{instruction} | ||
### Response: | ||
{response} | ||
Returns: | ||
AlpacaItem: Parsed instance | ||
Raises: | ||
ValueError: text doesn't match expected format or sections missing | ||
""" | ||
# Strip and standardize newlines | ||
text = text.strip().replace('\r\n', '\n') | ||
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# Try to extract sections using regex | ||
instruction_match = re.search( | ||
r'###\s*Instruction:\s*\n(.+?)(?=\n###|\Z)', text, re.DOTALL | ||
) | ||
input_match = re.search( | ||
r'###\s*Input:\s*\n(.+?)(?=\n###|\Z)', text, re.DOTALL | ||
) | ||
response_match = re.search( | ||
r'###\s*Response:\s*\n(.+?)(?=\n###|\Z)', text, re.DOTALL | ||
) | ||
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if not instruction_match or not response_match: | ||
raise ValueError( | ||
"Text must contain '### Instruction:'" | ||
" and '### Response:' sections" | ||
) | ||
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return cls( | ||
instruction=instruction_match.group(1).strip(), | ||
input=input_match.group(1).strip() if input_match else "", | ||
output=response_match.group(1).strip(), | ||
) | ||
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def to_string(self) -> str: | ||
r"""Converts the AlpacaItem to its string representation. | ||
Returns: | ||
str: Formatted string representation with sections markers | ||
""" | ||
return "\n".join( | ||
[ | ||
"### Instruction:", | ||
self.instruction, | ||
"", | ||
"### Input:", | ||
self.input, | ||
"", | ||
"### Response:", | ||
self.output, | ||
] | ||
) |
File renamed without changes.