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from langchain.output_parsers import PydanticOutputParser
from langchain_core.prompts import PromptTemplate
from components.candidate_data_schema import candidate
from components.llm_model import llm
parser = PydanticOutputParser(pydantic_object=candidate)
prompt_template = """\
You are tasked with extracting data from resume for a {job_title} job and retruning a JSON structre.\n
{format_instructions}\n
Resume text: {resume_text}
"""
prompt = PromptTemplate(
template=prompt_template,
input_variables=["job_title", "resume_text"],
partial_variables={"format_instructions": parser.get_format_instructions()},
)
llm_resume_parser = prompt | llm | parser
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