mirror of
https://github.com/hwchase17/langchain
synced 2024-11-04 06:00:26 +00:00
ed58eeb9c5
Moved the following modules to new package langchain-community in a backwards compatible fashion: ``` mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community ``` Moved the following to core ``` mv langchain/langchain/utils/json_schema.py core/langchain_core/utils mv langchain/langchain/utils/html.py core/langchain_core/utils mv langchain/langchain/utils/strings.py core/langchain_core/utils cat langchain/langchain/utils/env.py >> core/langchain_core/utils/env.py rm langchain/langchain/utils/env.py ``` See .scripts/community_split/script_integrations.sh for all changes
70 lines
2.1 KiB
Python
70 lines
2.1 KiB
Python
from typing import Any, List
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from langchain_community.document_loaders.parsers.language.code_segmenter import (
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CodeSegmenter,
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)
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class JavaScriptSegmenter(CodeSegmenter):
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"""Code segmenter for JavaScript."""
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def __init__(self, code: str):
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super().__init__(code)
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self.source_lines = self.code.splitlines()
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try:
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import esprima # noqa: F401
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except ImportError:
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raise ImportError(
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"Could not import esprima Python package. "
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"Please install it with `pip install esprima`."
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)
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def is_valid(self) -> bool:
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import esprima
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try:
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esprima.parseScript(self.code)
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return True
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except esprima.Error:
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return False
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def _extract_code(self, node: Any) -> str:
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start = node.loc.start.line - 1
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end = node.loc.end.line
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return "\n".join(self.source_lines[start:end])
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def extract_functions_classes(self) -> List[str]:
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import esprima
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tree = esprima.parseScript(self.code, loc=True)
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functions_classes = []
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for node in tree.body:
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if isinstance(
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node,
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(esprima.nodes.FunctionDeclaration, esprima.nodes.ClassDeclaration),
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):
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functions_classes.append(self._extract_code(node))
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return functions_classes
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def simplify_code(self) -> str:
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import esprima
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tree = esprima.parseScript(self.code, loc=True)
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simplified_lines = self.source_lines[:]
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for node in tree.body:
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if isinstance(
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node,
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(esprima.nodes.FunctionDeclaration, esprima.nodes.ClassDeclaration),
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):
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start = node.loc.start.line - 1
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simplified_lines[start] = f"// Code for: {simplified_lines[start]}"
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for line_num in range(start + 1, node.loc.end.line):
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simplified_lines[line_num] = None # type: ignore
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return "\n".join(line for line in simplified_lines if line is not None)
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