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```python """python scripts/update_mypy_ruff.py""" import glob import tomllib from pathlib import Path import toml import subprocess import re ROOT_DIR = Path(__file__).parents[1] def main(): for path in glob.glob(str(ROOT_DIR / "libs/**/pyproject.toml"), recursive=True): print(path) with open(path, "rb") as f: pyproject = tomllib.load(f) try: pyproject["tool"]["poetry"]["group"]["typing"]["dependencies"]["mypy"] = ( "^1.10" ) pyproject["tool"]["poetry"]["group"]["lint"]["dependencies"]["ruff"] = ( "^0.5" ) except KeyError: continue with open(path, "w") as f: toml.dump(pyproject, f) cwd = "/".join(path.split("/")[:-1]) completed = subprocess.run( "poetry lock --no-update; poetry install --with typing; poetry run mypy . --no-color", cwd=cwd, shell=True, capture_output=True, text=True, ) logs = completed.stdout.split("\n") to_ignore = {} for l in logs: if re.match("^(.*)\:(\d+)\: error:.*\[(.*)\]", l): path, line_no, error_type = re.match( "^(.*)\:(\d+)\: error:.*\[(.*)\]", l ).groups() if (path, line_no) in to_ignore: to_ignore[(path, line_no)].append(error_type) else: to_ignore[(path, line_no)] = [error_type] print(len(to_ignore)) for (error_path, line_no), error_types in to_ignore.items(): all_errors = ", ".join(error_types) full_path = f"{cwd}/{error_path}" try: with open(full_path, "r") as f: file_lines = f.readlines() except FileNotFoundError: continue file_lines[int(line_no) - 1] = ( file_lines[int(line_no) - 1][:-1] + f" # type: ignore[{all_errors}]\n" ) with open(full_path, "w") as f: f.write("".join(file_lines)) subprocess.run( "poetry run ruff format .; poetry run ruff --select I --fix .", cwd=cwd, shell=True, capture_output=True, text=True, ) if __name__ == "__main__": main() ```
90 lines
2.7 KiB
Python
90 lines
2.7 KiB
Python
"""Utils for interacting with the Semantic Scholar API."""
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import logging
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from typing import Any, Dict, Optional
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from langchain_core.pydantic_v1 import BaseModel, root_validator
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logger = logging.getLogger(__name__)
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class SemanticScholarAPIWrapper(BaseModel):
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"""Wrapper around semanticscholar.org API.
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https://github.com/danielnsilva/semanticscholar
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You should have this library installed.
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`pip install semanticscholar`
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Semantic Scholar API can conduct searches and fetch document metadata
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like title, abstract, authors, etc.
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Attributes:
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top_k_results: number of the top-scored document used for the Semantic Scholar tool
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load_max_docs: a limit to the number of loaded documents
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Example:
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.. code-block:: python
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from langchain_community.utilities.semanticscholar import SemanticScholarAPIWrapper
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ss = SemanticScholarAPIWrapper(
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top_k_results = 3,
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load_max_docs = 3
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)
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ss.run("biases in large language models")
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"""
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semanticscholar_search: Any #: :meta private:
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top_k_results: int = 5
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S2_MAX_QUERY_LENGTH: int = 300
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load_max_docs: int = 100
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doc_content_chars_max: Optional[int] = 4000
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returned_fields = [
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"title",
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"abstract",
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"venue",
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"year",
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"paperId",
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"citationCount",
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"openAccessPdf",
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"authors",
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"externalIds",
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]
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@root_validator(pre=True)
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def validate_environment(cls, values: Dict) -> Dict:
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"""Validate that the python package exists in environment."""
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try:
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from semanticscholar import SemanticScholar
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sch = SemanticScholar()
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values["semanticscholar_search"] = sch.search_paper
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except ImportError:
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raise ImportError(
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"Could not import Semanticscholar python package. "
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"Please install it with `pip install semanticscholar`."
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)
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return values
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def run(self, query: str) -> str:
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"""Run the Semantic Scholar API."""
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results = self.semanticscholar_search(
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query, limit=self.load_max_docs, fields=self.returned_fields
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)
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documents = []
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for item in results[: self.top_k_results]:
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authors = ", ".join(
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author["name"] for author in getattr(item, "authors", [])
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)
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documents.append(
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f"Published year: {getattr(item, 'year', None)}\n"
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f"Title: {getattr(item, 'title', None)}\n"
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f"Authors: {authors}\n"
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f"Astract: {getattr(item, 'abstract', None)}\n"
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)
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if documents:
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return "\n\n".join(documents)[: self.doc_content_chars_max]
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else:
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return "No results found."
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