langchain/libs/community/langchain_community/document_loaders/parsers/language/javascript.py
Bagatur ed58eeb9c5
community[major], core[patch], langchain[patch], experimental[patch]: Create langchain-community (#14463)
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
2023-12-11 13:53:30 -08:00

70 lines
2.1 KiB
Python

from typing import Any, List
from langchain_community.document_loaders.parsers.language.code_segmenter import (
CodeSegmenter,
)
class JavaScriptSegmenter(CodeSegmenter):
"""Code segmenter for JavaScript."""
def __init__(self, code: str):
super().__init__(code)
self.source_lines = self.code.splitlines()
try:
import esprima # noqa: F401
except ImportError:
raise ImportError(
"Could not import esprima Python package. "
"Please install it with `pip install esprima`."
)
def is_valid(self) -> bool:
import esprima
try:
esprima.parseScript(self.code)
return True
except esprima.Error:
return False
def _extract_code(self, node: Any) -> str:
start = node.loc.start.line - 1
end = node.loc.end.line
return "\n".join(self.source_lines[start:end])
def extract_functions_classes(self) -> List[str]:
import esprima
tree = esprima.parseScript(self.code, loc=True)
functions_classes = []
for node in tree.body:
if isinstance(
node,
(esprima.nodes.FunctionDeclaration, esprima.nodes.ClassDeclaration),
):
functions_classes.append(self._extract_code(node))
return functions_classes
def simplify_code(self) -> str:
import esprima
tree = esprima.parseScript(self.code, loc=True)
simplified_lines = self.source_lines[:]
for node in tree.body:
if isinstance(
node,
(esprima.nodes.FunctionDeclaration, esprima.nodes.ClassDeclaration),
):
start = node.loc.start.line - 1
simplified_lines[start] = f"// Code for: {simplified_lines[start]}"
for line_num in range(start + 1, node.loc.end.line):
simplified_lines[line_num] = None # type: ignore
return "\n".join(line for line in simplified_lines if line is not None)