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@@ -47,6 +47,8 @@ MANUAL_API_REFERENCES_LANGGRAPH = [
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(["langgraph.graph"], "langgraph.constants", "END", "constants"),
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(["langgraph.constants"], "langgraph.types", "Send", "types"),
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(["langgraph.constants"], "langgraph.types", "Interrupt", "types"),
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(["langgraph.constants"], "langgraph.types", "interrupt", "types"),
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(["langgraph.constants"], "langgraph.types", "Command", "types"),
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([], "langgraph.types", "RetryPolicy", "types"),
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([], "langgraph.checkpoint.base", "Checkpoint", "checkpoints"),
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([], "langgraph.checkpoint.base", "CheckpointMetadata", "checkpoints"),
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@@ -115,10 +117,10 @@ def _get_doc_title(data: str, file_name: str) -> str:
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class ImportInformation(TypedDict):
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imported: str # imported class name
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source: str # module path
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docs: str # URL to the documentation
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title: str # Title of the document
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imported: str # The name of the class that was imported.
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source: str # The full module path from which the class was imported.
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docs: str # The URL pointing to the class's documentation.
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title: str # The title of the document where the import is used.
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def _get_imports(
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@@ -244,3 +246,75 @@ class ImportPreprocessor(Preprocessor):
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cells.append(cell)
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nb.cells = cells
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return nb, resources
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def get_imports(code: str, doc_title: str) -> List[ImportInformation]:
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"""Retrieve all import references from the given code for specified ecosystems.
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Args:
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code: The source code from which to extract import references.
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doc_title: The documentation title associated with the code.
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Returns:
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A list of import information for each import found.
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"""
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ecosystems = ["langchain", "langgraph"]
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all_imports = []
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for package_ecosystem in ecosystems:
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all_imports.extend(_get_imports(code, doc_title, package_ecosystem))
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return all_imports
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def update_markdown_with_imports(markdown: str) -> str:
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"""Update markdown to include API reference links for imports in Python code blocks.
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This function scans the markdown content for Python code blocks, extracts any imports, and appends links to their API documentation.
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Args:
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markdown: The markdown content to process.
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Returns:
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Updated markdown with API reference links appended to Python code blocks.
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Example:
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Given a markdown with a Python code block:
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```python
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from langchain.nlp import TextGenerator
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```
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This function will append an API reference link to the `TextGenerator` class from the `langchain.nlp` module if it's recognized.
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"""
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code_block_pattern = re.compile(
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r'(?P<indent>[ \t]*)```(?P<language>python|py)\n(?P<code>.*?)\n(?P=indent)```', re.DOTALL
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)
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def replace_code_block(match: re.Match) -> str:
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"""Replace the matched code block with additional API reference links if imports are found.
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Args:
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match (re.Match): The regex match object containing the code block.
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Returns:
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str: The modified code block with API reference links appended if applicable.
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"""
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indent = match.group('indent')
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code_block = match.group('code')
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language = match.group('language') # Preserve the language from the regex match
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# Retrieve import information from the code block
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imports = get_imports(code_block, "__unused__")
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original_code_block = match.group(0)
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# If no imports are found, return the original code block
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if not imports:
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return original_code_block
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# Generate API reference links for each import
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api_links = ' | '.join(
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f'<a href="{imp["docs"]}">{imp["imported"]}</a>' for imp in imports
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)
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# Return the code block with appended API reference links
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return f'{original_code_block}\n\n{indent}API Reference: {api_links}'
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# Apply the replace_code_block function to all matches in the markdown
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updated_markdown = code_block_pattern.sub(replace_code_block, markdown)
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return updated_markdown
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