langchain/docs/api_reference/create_api_rst.py

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"""Script for auto-generating api_reference.rst."""
import importlib
import inspect
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import os
import sys
import typing
from enum import Enum
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from pathlib import Path
from typing import Dict, List, Literal, Optional, Sequence, TypedDict, Union
import toml
import typing_extensions
from langchain_core.runnables import Runnable, RunnableSerializable
from pydantic import BaseModel
ROOT_DIR = Path(__file__).parents[2].absolute()
HERE = Path(__file__).parent
ClassKind = Literal[
"TypedDict",
"Regular",
"Pydantic",
"enum",
"RunnablePydantic",
"RunnableNonPydantic",
]
class ClassInfo(TypedDict):
"""Information about a class."""
name: str
"""The name of the class."""
qualified_name: str
"""The fully qualified name of the class."""
kind: ClassKind
"""The kind of the class."""
is_public: bool
"""Whether the class is public or not."""
is_deprecated: bool
"""Whether the class is deprecated."""
class FunctionInfo(TypedDict):
"""Information about a function."""
name: str
"""The name of the function."""
qualified_name: str
"""The fully qualified name of the function."""
is_public: bool
"""Whether the function is public or not."""
is_deprecated: bool
"""Whether the function is deprecated."""
class ModuleMembers(TypedDict):
"""A dictionary of module members."""
classes_: Sequence[ClassInfo]
functions: Sequence[FunctionInfo]
def _load_module_members(module_path: str, namespace: str) -> ModuleMembers:
"""Load all members of a module.
Args:
module_path: Path to the module.
namespace: the namespace of the module.
Returns:
list: A list of loaded module objects.
"""
classes_: List[ClassInfo] = []
functions: List[FunctionInfo] = []
module = importlib.import_module(module_path)
for name, type_ in inspect.getmembers(module):
if not hasattr(type_, "__module__"):
continue
if type_.__module__ != module_path:
continue
if inspect.isclass(type_):
# The type of the class is used to select a template
# for the object when rendering the documentation.
# See `templates` directory for defined templates.
# This is a hacky solution to distinguish between different
# kinds of thing that we want to render.
if type(type_) is typing_extensions._TypedDictMeta: # type: ignore
kind: ClassKind = "TypedDict"
elif type(type_) is typing._TypedDictMeta: # type: ignore
kind: ClassKind = "TypedDict"
elif (
issubclass(type_, Runnable)
and issubclass(type_, BaseModel)
and type_ is not Runnable
):
# RunnableSerializable subclasses from Pydantic which
# for which we use autodoc_pydantic for rendering.
# We need to distinguish these from regular Pydantic
# classes so we can hide inherited Runnable methods
# and provide a link to the Runnable interface from
# the template.
kind = "RunnablePydantic"
elif (
issubclass(type_, Runnable)
and not issubclass(type_, BaseModel)
and type_ is not Runnable
):
# These are not pydantic classes but are Runnable.
# We'll hide all the inherited methods from Runnable
# but use a regular class template to render.
kind = "RunnableNonPydantic"
elif issubclass(type_, Enum):
kind = "enum"
elif issubclass(type_, BaseModel):
kind = "Pydantic"
else:
kind = "Regular"
classes_.append(
ClassInfo(
name=name,
qualified_name=f"{namespace}.{name}",
kind=kind,
is_public=not name.startswith("_"),
is_deprecated=".. deprecated::" in (type_.__doc__ or ""),
)
)
elif inspect.isfunction(type_):
functions.append(
FunctionInfo(
name=name,
qualified_name=f"{namespace}.{name}",
is_public=not name.startswith("_"),
is_deprecated=".. deprecated::" in (type_.__doc__ or ""),
)
)
else:
continue
return ModuleMembers(
classes_=classes_,
functions=functions,
)
def _merge_module_members(
module_members: Sequence[ModuleMembers],
) -> ModuleMembers:
"""Merge module members."""
classes_: List[ClassInfo] = []
functions: List[FunctionInfo] = []
for module in module_members:
classes_.extend(module["classes_"])
functions.extend(module["functions"])
return ModuleMembers(
classes_=classes_,
functions=functions,
)
def _load_package_modules(
package_directory: Union[str, Path], submodule: Optional[str] = None
) -> Dict[str, ModuleMembers]:
"""Recursively load modules of a package based on the file system.
Traversal based on the file system makes it easy to determine which
of the modules/packages are part of the package vs. 3rd party or built-in.
Parameters:
package_directory (Union[str, Path]): Path to the package directory.
submodule (Optional[str]): Optional name of submodule to load.
Returns:
Dict[str, ModuleMembers]: A dictionary where keys are module names and values are ModuleMembers objects.
"""
package_path = (
Path(package_directory)
if isinstance(package_directory, str)
else package_directory
)
modules_by_namespace = {}
# Get the high level package name
package_name = package_path.name
# If we are loading a submodule, add it in
if submodule is not None:
package_path = package_path / submodule
for file_path in package_path.rglob("*.py"):
if file_path.name.startswith("_"):
continue
relative_module_name = file_path.relative_to(package_path)
# Skip if any module part starts with an underscore
if any(part.startswith("_") for part in relative_module_name.parts):
continue
# Get the full namespace of the module
namespace = str(relative_module_name).replace(".py", "").replace("/", ".")
# Keep only the top level namespace
top_namespace = namespace.split(".")[0]
try:
# If submodule is present, we need to construct the paths in a slightly
# different way
if submodule is not None:
module_members = _load_module_members(
f"{package_name}.{submodule}.{namespace}",
f"{submodule}.{namespace}",
)
else:
module_members = _load_module_members(
f"{package_name}.{namespace}", namespace
)
# Merge module members if the namespace already exists
if top_namespace in modules_by_namespace:
existing_module_members = modules_by_namespace[top_namespace]
_module_members = _merge_module_members(
[existing_module_members, module_members]
)
else:
_module_members = module_members
modules_by_namespace[top_namespace] = _module_members
except ImportError as e:
print(f"Error: Unable to import module '{namespace}' with error: {e}")
return modules_by_namespace
def _construct_doc(
package_namespace: str,
members_by_namespace: Dict[str, ModuleMembers],
package_version: str,
) -> List[typing.Tuple[str, str]]:
"""Construct the contents of the reference.rst file for the given package.
Args:
package_namespace: The package top level namespace
members_by_namespace: The members of the package, dict organized by top level
module contains a list of classes and functions
inside of the top level namespace.
Returns:
The contents of the reference.rst file.
"""
docs = []
index_doc = f"""\
:html_theme.sidebar_secondary.remove:
.. currentmodule:: {package_namespace}
.. _{package_namespace}:
======================================
{package_namespace.replace('_', '-')}: {package_version}
======================================
.. automodule:: {package_namespace}
:no-members:
:no-inherited-members:
.. toctree::
:hidden:
:maxdepth: 2
"""
index_autosummary = """
"""
namespaces = sorted(members_by_namespace)
for module in namespaces:
index_doc += f" {module}\n"
module_doc = f"""\
.. currentmodule:: {package_namespace}
.. _{package_namespace}_{module}:
"""
_members = members_by_namespace[module]
classes = [
el
for el in _members["classes_"]
if el["is_public"] and not el["is_deprecated"]
]
functions = [
el
for el in _members["functions"]
if el["is_public"] and not el["is_deprecated"]
]
deprecated_classes = [
el for el in _members["classes_"] if el["is_public"] and el["is_deprecated"]
]
deprecated_functions = [
el
for el in _members["functions"]
if el["is_public"] and el["is_deprecated"]
]
if not (classes or functions):
continue
section = f":mod:`{module}`"
underline = "=" * (len(section) + 1)
module_doc += f"""
{section}
{underline}
.. automodule:: {package_namespace}.{module}
:no-members:
:no-inherited-members:
"""
index_autosummary += f"""
:ref:`{package_namespace}_{module}`
{'^' * (len(module) + 5)}
"""
if classes:
module_doc += f"""\
**Classes**
.. currentmodule:: {package_namespace}
.. autosummary::
:toctree: {module}
"""
index_autosummary += """
**Classes**
.. autosummary::
"""
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for class_ in sorted(classes, key=lambda c: c["qualified_name"]):
if class_["kind"] == "TypedDict":
template = "typeddict.rst"
elif class_["kind"] == "enum":
template = "enum.rst"
elif class_["kind"] == "Pydantic":
template = "pydantic.rst"
elif class_["kind"] == "RunnablePydantic":
template = "runnable_pydantic.rst"
elif class_["kind"] == "RunnableNonPydantic":
template = "runnable_non_pydantic.rst"
else:
template = "class.rst"
module_doc += f"""\
:template: {template}
{class_["qualified_name"]}
"""
index_autosummary += f"""
{class_['qualified_name']}
"""
if functions:
_functions = [f["qualified_name"] for f in functions]
fstring = "\n ".join(sorted(_functions))
module_doc += f"""\
**Functions**
.. currentmodule:: {package_namespace}
.. autosummary::
:toctree: {module}
:template: function.rst
{fstring}
"""
index_autosummary += f"""
**Functions**
.. autosummary::
{fstring}
"""
if deprecated_classes:
module_doc += f"""\
**Deprecated classes**
.. currentmodule:: {package_namespace}
.. autosummary::
:toctree: {module}
"""
index_autosummary += """
**Deprecated classes**
.. autosummary::
"""
for class_ in sorted(deprecated_classes, key=lambda c: c["qualified_name"]):
if class_["kind"] == "TypedDict":
template = "typeddict.rst"
elif class_["kind"] == "enum":
template = "enum.rst"
elif class_["kind"] == "Pydantic":
template = "pydantic.rst"
elif class_["kind"] == "RunnablePydantic":
template = "runnable_pydantic.rst"
elif class_["kind"] == "RunnableNonPydantic":
template = "runnable_non_pydantic.rst"
else:
template = "class.rst"
module_doc += f"""\
:template: {template}
{class_["qualified_name"]}
"""
index_autosummary += f"""
{class_['qualified_name']}
"""
if deprecated_functions:
_functions = [f["qualified_name"] for f in deprecated_functions]
fstring = "\n ".join(sorted(_functions))
module_doc += f"""\
**Deprecated functions**
.. currentmodule:: {package_namespace}
.. autosummary::
:toctree: {module}
:template: function.rst
{fstring}
"""
index_autosummary += f"""
**Deprecated functions**
.. autosummary::
{fstring}
"""
docs.append((f"{module}.rst", module_doc))
docs.append(("index.rst", index_doc + index_autosummary))
return docs
def _build_rst_file(package_name: str = "langchain") -> None:
"""Create a rst file for building of documentation.
Args:
package_name: Can be either "langchain" or "core" or "experimental".
"""
package_dir = _package_dir(package_name)
package_members = _load_package_modules(package_dir)
package_version = _get_package_version(package_dir)
output_dir = _out_file_path(package_name)
os.mkdir(output_dir)
rsts = _construct_doc(
_package_namespace(package_name), package_members, package_version
)
for name, rst in rsts:
with open(output_dir / name, "w") as f:
f.write(rst)
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def _package_namespace(package_name: str) -> str:
return (
package_name
if package_name == "langchain"
else f"langchain_{package_name.replace('-', '_')}"
)
def _package_dir(package_name: str = "langchain") -> Path:
"""Return the path to the directory containing the documentation."""
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if package_name in (
"langchain",
"experimental",
"community",
"core",
"cli",
"text-splitters",
):
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return ROOT_DIR / "libs" / package_name / _package_namespace(package_name)
else:
return (
ROOT_DIR
/ "libs"
/ "partners"
/ package_name
/ _package_namespace(package_name)
)
def _get_package_version(package_dir: Path) -> str:
"""Return the version of the package."""
try:
with open(package_dir.parent / "pyproject.toml", "r") as f:
pyproject = toml.load(f)
except FileNotFoundError as e:
print(
f"pyproject.toml not found in {package_dir.parent}.\n"
"You are either attempting to build a directory which is not a package or "
"the package is missing a pyproject.toml file which should be added."
"Aborting the build."
)
exit(1)
return pyproject["tool"]["poetry"]["version"]
def _out_file_path(package_name: str) -> Path:
"""Return the path to the file containing the documentation."""
return HERE / f"{package_name.replace('-', '_')}"
def _build_index(dirs: List[str]) -> None:
custom_names = {
"airbyte": "Airbyte",
"aws": "AWS",
"ai21": "AI21",
}
ordered = ["core", "langchain", "text-splitters", "community", "experimental"]
main_ = [dir_ for dir_ in ordered if dir_ in dirs]
integrations = sorted(dir_ for dir_ in dirs if dir_ not in main_)
main_headers = [
" ".join(custom_names.get(x, x.title()) for x in dir_.split("-"))
for dir_ in main_
]
integration_headers = [
" ".join(
custom_names.get(x, x.title().replace("ai", "AI").replace("db", "DB"))
for x in dir_.split("-")
)
for dir_ in integrations
]
main_tree = "\n".join(
f"{header_name}<{dir_.replace('-', '_')}/index>"
for header_name, dir_ in zip(main_headers, main_)
)
main_grid = "\n".join(
f'- header: "**{header_name}**"\n content: "{_package_namespace(dir_).replace("_", "-")}: {_get_package_version(_package_dir(dir_))}"\n link: {dir_.replace("-", "_")}/index.html'
for header_name, dir_ in zip(main_headers, main_)
)
integration_tree = "\n".join(
f"{header_name}<{dir_.replace('-', '_')}/index>"
for header_name, dir_ in zip(integration_headers, integrations)
)
integration_grid = ""
integrations_to_show = [
"openai",
"anthropic",
"google-vertexai",
"aws",
"huggingface",
"mistralai",
]
for header_name, dir_ in sorted(
zip(integration_headers, integrations),
key=lambda h_d: integrations_to_show.index(h_d[1])
if h_d[1] in integrations_to_show
else len(integrations_to_show),
)[: len(integrations_to_show)]:
integration_grid += f'\n- header: "**{header_name}**"\n content: {_package_namespace(dir_).replace("_", "-")} {_get_package_version(_package_dir(dir_))}\n link: {dir_.replace("-", "_")}/index.html'
doc = f"""# LangChain Python API Reference
Welcome to the LangChain Python API reference. This is a reference for all
`langchain-x` packages.
For user guides see [https://python.langchain.com](https://python.langchain.com).
For the legacy API reference hosted on ReadTheDocs see [https://api.python.langchain.com/](https://api.python.langchain.com/).
## Base packages
```{{gallery-grid}}
:grid-columns: "1 2 2 3"
{main_grid}
```
```{{toctree}}
:maxdepth: 2
:hidden:
:caption: Base packages
{main_tree}
```
## Integrations
```{{gallery-grid}}
:grid-columns: "1 2 2 3"
{integration_grid}
```
See the full list of integrations in the Section Navigation.
```{{toctree}}
:maxdepth: 2
:hidden:
:caption: Integrations
{integration_tree}
```
"""
with open(HERE / "reference.md", "w") as f:
f.write(doc)
dummy_index = """\
# API reference
```{toctree}
:maxdepth: 3
:hidden:
Reference<reference>
```
"""
with open(HERE / "index.md", "w") as f:
f.write(dummy_index)
def main(dirs: Optional[list] = None) -> None:
"""Generate the api_reference.rst file for each package."""
print("Starting to build API reference files.")
if not dirs:
dirs = [
dir_
for dir_ in os.listdir(ROOT_DIR / "libs")
if dir_ not in ("cli", "partners", "standard-tests")
]
dirs += [
dir_
for dir_ in os.listdir(ROOT_DIR / "libs" / "partners")
if os.path.isdir(ROOT_DIR / "libs" / "partners" / dir_)
and "pyproject.toml" in os.listdir(ROOT_DIR / "libs" / "partners" / dir_)
]
for dir_ in dirs:
# Skip any hidden directories
# Some of these could be present by mistake in the code base
# e.g., .pytest_cache from running tests from the wrong location.
if dir_.startswith("."):
print("Skipping dir:", dir_)
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continue
else:
print("Building package:", dir_)
_build_rst_file(package_name=dir_)
_build_index(dirs)
print("API reference files built.")
if __name__ == "__main__":
dirs = sys.argv[1:] or None
main(dirs=dirs)