feat: add docstring

This commit is contained in:
Ibis Prevedello 2023-02-16 10:20:43 -03:00
commit c0ad9a383f
11 changed files with 4156 additions and 172 deletions

1
.gitignore vendored
View file

@ -2,6 +2,7 @@
__pycache__/
*.py[cod]
*$py.class
notebooks
# C extensions
*.so

5
build_and_push Executable file
View file

@ -0,0 +1,5 @@
#! /bin/bash
poetry remove langchain
docker build -t ibiscp/expert:v0.0.6 . && docker push ibiscp/expert:v0.0.6
poetry add --editable ../langchain

713
poetry.lock generated
View file

@ -46,6 +46,28 @@ doc = ["packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
test = ["contextlib2", "coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "mock (>=4)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (<0.15)", "uvloop (>=0.15)"]
trio = ["trio (>=0.16,<0.22)"]
[[package]]
name = "appnope"
version = "0.1.3"
description = "Disable App Nap on macOS >= 10.9"
category = "dev"
optional = false
python-versions = "*"
[[package]]
name = "asttokens"
version = "2.2.1"
description = "Annotate AST trees with source code positions"
category = "dev"
optional = false
python-versions = "*"
[package.dependencies]
six = "*"
[package.extras]
test = ["astroid", "pytest"]
[[package]]
name = "async-timeout"
version = "4.0.2"
@ -69,6 +91,14 @@ docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-
tests = ["attrs[tests-no-zope]", "zope.interface"]
tests-no-zope = ["cloudpickle", "cloudpickle", "hypothesis", "hypothesis", "mypy (>=0.971,<0.990)", "mypy (>=0.971,<0.990)", "pympler", "pympler", "pytest (>=4.3.0)", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-mypy-plugins", "pytest-xdist[psutil]", "pytest-xdist[psutil]"]
[[package]]
name = "backcall"
version = "0.2.0"
description = "Specifications for callback functions passed in to an API"
category = "dev"
optional = false
python-versions = "*"
[[package]]
name = "beautifulsoup4"
version = "4.11.2"
@ -114,6 +144,17 @@ category = "main"
optional = false
python-versions = ">=3.6"
[[package]]
name = "cffi"
version = "1.15.1"
description = "Foreign Function Interface for Python calling C code."
category = "dev"
optional = false
python-versions = "*"
[package.dependencies]
pycparser = "*"
[[package]]
name = "charset-normalizer"
version = "2.1.1"
@ -144,6 +185,20 @@ category = "main"
optional = false
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
[[package]]
name = "comm"
version = "0.1.2"
description = "Jupyter Python Comm implementation, for usage in ipykernel, xeus-python etc."
category = "dev"
optional = false
python-versions = ">=3.6"
[package.dependencies]
traitlets = ">=5.3"
[package.extras]
test = ["pytest"]
[[package]]
name = "dataclasses-json"
version = "0.5.7"
@ -160,6 +215,33 @@ typing-inspect = ">=0.4.0"
[package.extras]
dev = ["flake8", "hypothesis", "ipython", "mypy (>=0.710)", "portray", "pytest (>=6.2.3)", "simplejson", "types-dataclasses"]
[[package]]
name = "debugpy"
version = "1.6.6"
description = "An implementation of the Debug Adapter Protocol for Python"
category = "dev"
optional = false
python-versions = ">=3.7"
[[package]]
name = "decorator"
version = "5.1.1"
description = "Decorators for Humans"
category = "dev"
optional = false
python-versions = ">=3.5"
[[package]]
name = "executing"
version = "1.2.0"
description = "Get the currently executing AST node of a frame, and other information"
category = "dev"
optional = false
python-versions = "*"
[package.extras]
tests = ["asttokens", "littleutils", "pytest", "rich"]
[[package]]
name = "fastapi"
version = "0.91.0"
@ -214,9 +296,126 @@ category = "main"
optional = false
python-versions = ">=3.5"
[[package]]
name = "ipykernel"
version = "6.21.2"
description = "IPython Kernel for Jupyter"
category = "dev"
optional = false
python-versions = ">=3.8"
[package.dependencies]
appnope = {version = "*", markers = "platform_system == \"Darwin\""}
comm = ">=0.1.1"
debugpy = ">=1.6.5"
ipython = ">=7.23.1"
jupyter-client = ">=6.1.12"
jupyter-core = ">=4.12,<5.0.0 || >=5.1.0"
matplotlib-inline = ">=0.1"
nest-asyncio = "*"
packaging = "*"
psutil = "*"
pyzmq = ">=20"
tornado = ">=6.1"
traitlets = ">=5.4.0"
[package.extras]
cov = ["coverage[toml]", "curio", "matplotlib", "pytest-cov", "trio"]
docs = ["myst-parser", "pydata-sphinx-theme", "sphinx", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling", "trio"]
pyqt5 = ["pyqt5"]
pyside6 = ["pyside6"]
test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0)", "pytest-asyncio", "pytest-cov", "pytest-timeout"]
[[package]]
name = "ipython"
version = "8.10.0"
description = "IPython: Productive Interactive Computing"
category = "dev"
optional = false
python-versions = ">=3.8"
[package.dependencies]
appnope = {version = "*", markers = "sys_platform == \"darwin\""}
backcall = "*"
colorama = {version = "*", markers = "sys_platform == \"win32\""}
decorator = "*"
jedi = ">=0.16"
matplotlib-inline = "*"
pexpect = {version = ">4.3", markers = "sys_platform != \"win32\""}
pickleshare = "*"
prompt-toolkit = ">=3.0.30,<3.1.0"
pygments = ">=2.4.0"
stack-data = "*"
traitlets = ">=5"
[package.extras]
all = ["black", "curio", "docrepr", "ipykernel", "ipyparallel", "ipywidgets", "matplotlib", "matplotlib (!=3.2.0)", "nbconvert", "nbformat", "notebook", "numpy (>=1.21)", "pandas", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio", "qtconsole", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "trio", "typing-extensions"]
black = ["black"]
doc = ["docrepr", "ipykernel", "matplotlib", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "typing-extensions"]
kernel = ["ipykernel"]
nbconvert = ["nbconvert"]
nbformat = ["nbformat"]
notebook = ["ipywidgets", "notebook"]
parallel = ["ipyparallel"]
qtconsole = ["qtconsole"]
test = ["pytest (<7.1)", "pytest-asyncio", "testpath"]
test-extra = ["curio", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.21)", "pandas", "pytest (<7.1)", "pytest-asyncio", "testpath", "trio"]
[[package]]
name = "jedi"
version = "0.18.2"
description = "An autocompletion tool for Python that can be used for text editors."
category = "dev"
optional = false
python-versions = ">=3.6"
[package.dependencies]
parso = ">=0.8.0,<0.9.0"
[package.extras]
docs = ["Jinja2 (==2.11.3)", "MarkupSafe (==1.1.1)", "Pygments (==2.8.1)", "alabaster (==0.7.12)", "babel (==2.9.1)", "chardet (==4.0.0)", "commonmark (==0.8.1)", "docutils (==0.17.1)", "future (==0.18.2)", "idna (==2.10)", "imagesize (==1.2.0)", "mock (==1.0.1)", "packaging (==20.9)", "pyparsing (==2.4.7)", "pytz (==2021.1)", "readthedocs-sphinx-ext (==2.1.4)", "recommonmark (==0.5.0)", "requests (==2.25.1)", "six (==1.15.0)", "snowballstemmer (==2.1.0)", "sphinx (==1.8.5)", "sphinx-rtd-theme (==0.4.3)", "sphinxcontrib-serializinghtml (==1.1.4)", "sphinxcontrib-websupport (==1.2.4)", "urllib3 (==1.26.4)"]
qa = ["flake8 (==3.8.3)", "mypy (==0.782)"]
testing = ["Django (<3.1)", "attrs", "colorama", "docopt", "pytest (<7.0.0)"]
[[package]]
name = "jupyter-client"
version = "8.0.2"
description = "Jupyter protocol implementation and client libraries"
category = "dev"
optional = false
python-versions = ">=3.8"
[package.dependencies]
jupyter-core = ">=4.12,<5.0.0 || >=5.1.0"
python-dateutil = ">=2.8.2"
pyzmq = ">=23.0"
tornado = ">=6.2"
traitlets = ">=5.3"
[package.extras]
docs = ["ipykernel", "myst-parser", "pydata-sphinx-theme", "sphinx (>=4)", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling"]
test = ["codecov", "coverage", "ipykernel (>=6.14)", "mypy", "paramiko", "pre-commit", "pytest", "pytest-cov", "pytest-jupyter[client] (>=0.4.1)", "pytest-timeout"]
[[package]]
name = "jupyter-core"
version = "5.2.0"
description = "Jupyter core package. A base package on which Jupyter projects rely."
category = "dev"
optional = false
python-versions = ">=3.8"
[package.dependencies]
platformdirs = ">=2.5"
pywin32 = {version = ">=1.0", markers = "sys_platform == \"win32\" and platform_python_implementation != \"PyPy\""}
traitlets = ">=5.3"
[package.extras]
docs = ["myst-parser", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling", "traitlets"]
test = ["ipykernel", "pre-commit", "pytest", "pytest-cov", "pytest-timeout"]
[[package]]
name = "langchain"
version = "0.0.84"
version = "0.0.86"
description = "Building applications with LLMs through composability"
category = "main"
optional = false
@ -234,8 +433,8 @@ SQLAlchemy = "^1"
tenacity = "^8.1.0"
[package.extras]
all = ["beautifulsoup4 (>=4,<5)", "cohere (>=3,<4)", "elasticsearch (>=8,<9)", "faiss-cpu (>=1,<2)", "google-api-python-client (==2.70.0)", "google-search-results (>=2,<3)", "huggingface_hub (>=0,<1)", "jinja2 (>=3,<4)", "manifest-ml (>=0.0.1,<0.0.2)", "nlpcloud (>=1,<2)", "nltk (>=3,<4)", "openai (>=0,<1)", "pinecone-client (>=2,<3)", "pypdf (>=3.4.0,<4.0.0)", "qdrant-client (>=0.11.7,<0.12.0)", "redis (>=4,<5)", "sentence-transformers (>=2,<3)", "spacy (>=3,<4)", "tensorflow-text (>=2.11.0,<3.0.0)", "tiktoken (>=0,<1)", "torch (>=1,<2)", "transformers (>=4,<5)", "weaviate-client (>=3,<4)", "wikipedia (>=1,<2)", "wolframalpha (==5.0.0)"]
llms = ["cohere (>=3,<4)", "huggingface_hub (>=0,<1)", "manifest-ml (>=0.0.1,<0.0.2)", "nlpcloud (>=1,<2)", "openai (>=0,<1)", "torch (>=1,<2)", "transformers (>=4,<5)"]
all = ["anthropic (>=0.2.2,<0.3.0)", "beautifulsoup4 (>=4,<5)", "cohere (>=3,<4)", "elasticsearch (>=8,<9)", "faiss-cpu (>=1,<2)", "google-api-python-client (==2.70.0)", "google-search-results (>=2,<3)", "huggingface_hub (>=0,<1)", "jinja2 (>=3,<4)", "manifest-ml (>=0.0.1,<0.0.2)", "networkx (>=2.6.3,<3.0.0)", "nlpcloud (>=1,<2)", "nltk (>=3,<4)", "openai (>=0,<1)", "pinecone-client (>=2,<3)", "pypdf (>=3.4.0,<4.0.0)", "qdrant-client (>=0.11.7,<0.12.0)", "redis (>=4,<5)", "sentence-transformers (>=2,<3)", "spacy (>=3,<4)", "tensorflow-text (>=2.11.0,<3.0.0)", "tiktoken (>=0,<1)", "torch (>=1,<2)", "transformers (>=4,<5)", "weaviate-client (>=3,<4)", "wikipedia (>=1,<2)", "wolframalpha (==5.0.0)"]
llms = ["anthropic (>=0.2.2,<0.3.0)", "cohere (>=3,<4)", "huggingface_hub (>=0,<1)", "manifest-ml (>=0.0.1,<0.0.2)", "nlpcloud (>=1,<2)", "openai (>=0,<1)", "torch (>=1,<2)", "transformers (>=4,<5)"]
[package.source]
type = "directory"
@ -269,6 +468,17 @@ python-versions = "*"
[package.dependencies]
marshmallow = ">=2.0.0"
[[package]]
name = "matplotlib-inline"
version = "0.1.6"
description = "Inline Matplotlib backend for Jupyter"
category = "dev"
optional = false
python-versions = ">=3.5"
[package.dependencies]
traitlets = "*"
[[package]]
name = "multidict"
version = "6.0.4"
@ -285,6 +495,14 @@ category = "main"
optional = false
python-versions = ">=3.5"
[[package]]
name = "nest-asyncio"
version = "1.5.6"
description = "Patch asyncio to allow nested event loops"
category = "dev"
optional = false
python-versions = ">=3.5"
[[package]]
name = "numpy"
version = "1.24.2"
@ -320,6 +538,18 @@ category = "main"
optional = false
python-versions = ">=3.7"
[[package]]
name = "parso"
version = "0.8.3"
description = "A Python Parser"
category = "dev"
optional = false
python-versions = ">=3.6"
[package.extras]
qa = ["flake8 (==3.8.3)", "mypy (==0.782)"]
testing = ["docopt", "pytest (<6.0.0)"]
[[package]]
name = "pathspec"
version = "0.11.0"
@ -328,6 +558,25 @@ category = "dev"
optional = false
python-versions = ">=3.7"
[[package]]
name = "pexpect"
version = "4.8.0"
description = "Pexpect allows easy control of interactive console applications."
category = "dev"
optional = false
python-versions = "*"
[package.dependencies]
ptyprocess = ">=0.5"
[[package]]
name = "pickleshare"
version = "0.7.5"
description = "Tiny 'shelve'-like database with concurrency support"
category = "dev"
optional = false
python-versions = "*"
[[package]]
name = "platformdirs"
version = "3.0.0"
@ -340,6 +589,55 @@ python-versions = ">=3.7"
docs = ["furo (>=2022.12.7)", "proselint (>=0.13)", "sphinx (>=6.1.3)", "sphinx-autodoc-typehints (>=1.22,!=1.23.4)"]
test = ["appdirs (==1.4.4)", "covdefaults (>=2.2.2)", "pytest (>=7.2.1)", "pytest-cov (>=4)", "pytest-mock (>=3.10)"]
[[package]]
name = "prompt-toolkit"
version = "3.0.36"
description = "Library for building powerful interactive command lines in Python"
category = "dev"
optional = false
python-versions = ">=3.6.2"
[package.dependencies]
wcwidth = "*"
[[package]]
name = "psutil"
version = "5.9.4"
description = "Cross-platform lib for process and system monitoring in Python."
category = "dev"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
[package.extras]
test = ["enum34", "ipaddress", "mock", "pywin32", "wmi"]
[[package]]
name = "ptyprocess"
version = "0.7.0"
description = "Run a subprocess in a pseudo terminal"
category = "dev"
optional = false
python-versions = "*"
[[package]]
name = "pure-eval"
version = "0.2.2"
description = "Safely evaluate AST nodes without side effects"
category = "dev"
optional = false
python-versions = "*"
[package.extras]
tests = ["pytest"]
[[package]]
name = "pycparser"
version = "2.21"
description = "C parser in Python"
category = "dev"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
[[package]]
name = "pydantic"
version = "1.10.4"
@ -355,6 +653,36 @@ typing-extensions = ">=4.2.0"
dotenv = ["python-dotenv (>=0.10.4)"]
email = ["email-validator (>=1.0.3)"]
[[package]]
name = "pygments"
version = "2.14.0"
description = "Pygments is a syntax highlighting package written in Python."
category = "dev"
optional = false
python-versions = ">=3.6"
[package.extras]
plugins = ["importlib-metadata"]
[[package]]
name = "python-dateutil"
version = "2.8.2"
description = "Extensions to the standard Python datetime module"
category = "dev"
optional = false
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
[package.dependencies]
six = ">=1.5"
[[package]]
name = "pywin32"
version = "305"
description = "Python for Window Extensions"
category = "dev"
optional = false
python-versions = "*"
[[package]]
name = "pyyaml"
version = "6.0"
@ -363,6 +691,17 @@ category = "main"
optional = false
python-versions = ">=3.6"
[[package]]
name = "pyzmq"
version = "25.0.0"
description = "Python bindings for 0MQ"
category = "dev"
optional = false
python-versions = ">=3.6"
[package.dependencies]
cffi = {version = "*", markers = "implementation_name == \"pypy\""}
[[package]]
name = "requests"
version = "2.28.2"
@ -381,6 +720,14 @@ urllib3 = ">=1.21.1,<1.27"
socks = ["PySocks (>=1.5.6,!=1.5.7)"]
use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
[[package]]
name = "six"
version = "1.16.0"
description = "Python 2 and 3 compatibility utilities"
category = "dev"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
[[package]]
name = "sniffio"
version = "1.3.0"
@ -429,6 +776,22 @@ postgresql-psycopg2cffi = ["psycopg2cffi"]
pymysql = ["pymysql", "pymysql (<1)"]
sqlcipher = ["sqlcipher3_binary"]
[[package]]
name = "stack-data"
version = "0.6.2"
description = "Extract data from python stack frames and tracebacks for informative displays"
category = "dev"
optional = false
python-versions = "*"
[package.dependencies]
asttokens = ">=2.1.0"
executing = ">=1.2.0"
pure-eval = "*"
[package.extras]
tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"]
[[package]]
name = "starlette"
version = "0.24.0"
@ -462,6 +825,14 @@ category = "dev"
optional = false
python-versions = ">=3.7"
[[package]]
name = "tornado"
version = "6.2"
description = "Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed."
category = "dev"
optional = false
python-versions = ">= 3.7"
[[package]]
name = "tqdm"
version = "4.64.1"
@ -479,6 +850,18 @@ notebook = ["ipywidgets (>=6)"]
slack = ["slack-sdk"]
telegram = ["requests"]
[[package]]
name = "traitlets"
version = "5.9.0"
description = "Traitlets Python configuration system"
category = "dev"
optional = false
python-versions = ">=3.7"
[package.extras]
docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"]
test = ["argcomplete (>=2.0)", "pre-commit", "pytest", "pytest-mock"]
[[package]]
name = "typing-extensions"
version = "4.4.0"
@ -527,6 +910,14 @@ h11 = ">=0.8"
[package.extras]
standard = ["colorama (>=0.4)", "httptools (>=0.5.0)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1)", "watchfiles (>=0.13)", "websockets (>=10.4)"]
[[package]]
name = "wcwidth"
version = "0.2.6"
description = "Measures the displayed width of unicode strings in a terminal"
category = "dev"
optional = false
python-versions = "*"
[[package]]
name = "yarl"
version = "1.8.2"
@ -542,7 +933,7 @@ multidict = ">=4.0"
[metadata]
lock-version = "1.1"
python-versions = "^3.10"
content-hash = "0f7ccdac03322e997f334a0a983fece4c7b8b1c90bed4f3a108ca4a3982ab4c7"
content-hash = "ffc4b17c403dab7f934d2c026b83757cc40066a79d64ab27842908b40b0bedeb"
[metadata.files]
aiohttp = [
@ -642,6 +1033,14 @@ anyio = [
{file = "anyio-3.6.2-py3-none-any.whl", hash = "sha256:fbbe32bd270d2a2ef3ed1c5d45041250284e31fc0a4df4a5a6071842051a51e3"},
{file = "anyio-3.6.2.tar.gz", hash = "sha256:25ea0d673ae30af41a0c442f81cf3b38c7e79fdc7b60335a4c14e05eb0947421"},
]
appnope = [
{file = "appnope-0.1.3-py2.py3-none-any.whl", hash = "sha256:265a455292d0bd8a72453494fa24df5a11eb18373a60c7c0430889f22548605e"},
{file = "appnope-0.1.3.tar.gz", hash = "sha256:02bd91c4de869fbb1e1c50aafc4098827a7a54ab2f39d9dcba6c9547ed920e24"},
]
asttokens = [
{file = "asttokens-2.2.1-py2.py3-none-any.whl", hash = "sha256:6b0ac9e93fb0335014d382b8fa9b3afa7df546984258005da0b9e7095b3deb1c"},
{file = "asttokens-2.2.1.tar.gz", hash = "sha256:4622110b2a6f30b77e1473affaa97e711bc2f07d3f10848420ff1898edbe94f3"},
]
async-timeout = [
{file = "async-timeout-4.0.2.tar.gz", hash = "sha256:2163e1640ddb52b7a8c80d0a67a08587e5d245cc9c553a74a847056bc2976b15"},
{file = "async_timeout-4.0.2-py3-none-any.whl", hash = "sha256:8ca1e4fcf50d07413d66d1a5e416e42cfdf5851c981d679a09851a6853383b3c"},
@ -650,6 +1049,10 @@ attrs = [
{file = "attrs-22.2.0-py3-none-any.whl", hash = "sha256:29e95c7f6778868dbd49170f98f8818f78f3dc5e0e37c0b1f474e3561b240836"},
{file = "attrs-22.2.0.tar.gz", hash = "sha256:c9227bfc2f01993c03f68db37d1d15c9690188323c067c641f1a35ca58185f99"},
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]
wcwidth = [
{file = "wcwidth-0.2.6-py2.py3-none-any.whl", hash = "sha256:795b138f6875577cd91bba52baf9e445cd5118fd32723b460e30a0af30ea230e"},
{file = "wcwidth-0.2.6.tar.gz", hash = "sha256:a5220780a404dbe3353789870978e472cfe477761f06ee55077256e509b156d0"},
]
yarl = [
{file = "yarl-1.8.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:bb81f753c815f6b8e2ddd2eef3c855cf7da193b82396ac013c661aaa6cc6b0a5"},
{file = "yarl-1.8.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:47d49ac96156f0928f002e2424299b2c91d9db73e08c4cd6742923a086f1c863"},

View file

@ -16,6 +16,7 @@ langchain = {path = "../langchain", develop = true}
[tool.poetry.group.dev.dependencies]
black = "^23.1.0"
ipykernel = "^6.21.2"
[build-system]
requires = ["poetry-core"]

3012
response.json Normal file

File diff suppressed because it is too large Load diff

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@ -1,7 +1,7 @@
from fastapi import FastAPI
from endpoints import router as endpoints_router
from list import router as list_router
from templates import router as templates_router
from signature import router as signatures_router
def create_app():
@ -9,7 +9,7 @@ def create_app():
app = FastAPI()
app.include_router(endpoints_router)
app.include_router(list_router)
app.include_router(templates_router)
app.include_router(signatures_router)
return app

View file

@ -7,31 +7,66 @@ from interface import (
DictableMemory,
DictableTool,
)
import signature
import list
# build router
router = APIRouter()
AGENT_TYPE = "conversational-react-description"
# define endpoints -> /chain, /agent, /memory, /prompt
# return a dict
@router.get("/chain")
def get_chain():
llm = OpenAI(temperature=0)
chain = DictableChain(llm=llm)
return chain.to_dict()
@router.get("/agent")
def get_agent():
tools = [DictableTool(name="test", description="test", func=lambda x: x)]
llm = OpenAI(temperature=0)
return initialize_agent(llm=llm, tools=tools, memory=DictableMemory()).__dict__
@router.get("/")
def get_all():
tools = list.list_tools()
return {
"chains": {chain: signature.chain(chain) for chain in list.list_chains()},
"agents": {agent: signature.agent(agent) for agent in list.list_agents()},
"prompts": {prompt: signature.prompt(prompt) for prompt in list.list_prompts()},
"llms": {llm: signature.llm(llm) for llm in list.list_llms()},
# "utilities": {
# "template": {
# # utility: templates.utility(utility) for utility in list.list_utilities()
# }
# },
"memories": {
memory: signature.memory(memory) for memory in list.list_memories()
},
# "document_loaders": {
# "template": {
# # memory: templates.document_loader(memory)
# # for memory in list.list_document_loaders()
# }
# },
# "vectorstores": {"template": {}},
# "docstores": {"template": {}},
"tools": {
tool: {"template": signature.tool(tool), **values}
for tool, values in tools.items()
},
}
@router.get("/memory")
def get_memory():
return DictableMemory().to_dict()
# @router.get("/chain")
# def get_chain():
# llm = OpenAI(temperature=0)
# chain = DictableChain(llm=llm)
# return chain.to_dict()
@router.get("/prompt")
def get_prompt():
return {"template": "template", "input_variables": "input_variables"}
# @router.get("/agent")
# def get_agent():
# tools = [DictableTool(name="test", description="test", func=lambda x: x)]
# llm = OpenAI(temperature=0)
# return initialize_agent(llm=llm, tools=tools, memory=DictableMemory()).__dict__
# @router.get("/memory")
# def get_memory():
# return DictableMemory().to_dict()
# @router.get("/prompt")
# def get_prompt():
# return {"template": "template", "input_variables": "input_variables"}

View file

@ -32,11 +32,11 @@ def read_items():
"agents",
"prompts",
"llms",
"utilities",
# "utilities",
"memories",
"document_loaders",
"vectorstores",
"docstores",
# "document_loaders",
# "vectorstores",
# "docstores",
"tools",
]
@ -44,55 +44,62 @@ def read_items():
@router.get("/chains")
def list_chains():
"""List all chain types"""
return list(chains.loading.type_to_loader_dict.keys())
return [
chain.__annotations__["return"].__name__
for chain in chains.loading.type_to_loader_dict.values()
]
@router.get("/agents")
def list_agents():
"""List all agent types"""
return list(agents.loading.AGENT_TO_CLASS.keys())
# return list(agents.loading.AGENT_TO_CLASS.keys())
return [agent.__name__ for agent in agents.loading.AGENT_TO_CLASS.values()]
@router.get("/prompts")
def list_prompts():
"""List all prompt types"""
return list(prompts.loading.type_to_loader_dict.keys())
return [
prompt.__annotations__["return"].__name__
for prompt in prompts.loading.type_to_loader_dict.values()
]
@router.get("/llms")
def list_llms():
"""List all llm types"""
return list(llms.type_to_cls_dict.keys())
return [llm.__name__ for llm in llms.type_to_cls_dict.values()]
@router.get("/memories")
def list_memories():
"""List all memory types"""
return list(memories.type_to_cls_dict.keys())
return [memory.__name__ for memory in memories.type_to_cls_dict.values()]
@router.get("/utilities")
def list_utilities():
"""List all utility types"""
return list(utilities.__all__)
# @router.get("/utilities")
# def list_utilities():
# """List all utility types"""
# return list(utilities.__all__)
@router.get("/document_loaders")
def list_document_loaders():
"""List all document loader types"""
return list(document_loaders.__all__)
# @router.get("/document_loaders")
# def list_document_loaders():
# """List all document loader types"""
# return list(document_loaders.__all__)
@router.get("/vectorstores")
def list_vectorstores():
"""List all vector store types"""
return list(vectorstores.__all__)
# @router.get("/vectorstores")
# def list_vectorstores():
# """List all vector store types"""
# return list(vectorstores.__all__)
@router.get("/docstores")
def list_docstores():
"""List all document store types"""
return list(docstore.__all__)
# @router.get("/docstores")
# def list_docstores():
# """List all document store types"""
# return list(docstore.__all__)
@router.get("/tools")

198
src/signature.py Normal file
View file

@ -0,0 +1,198 @@
from fastapi import APIRouter
from langchain import chains
from langchain import agents
from langchain import prompts
from langchain import llms
from langchain import utilities
from langchain.chains.conversation import memory as memories
from langchain import document_loaders
from langchain.agents.load_tools import (
get_all_tool_names,
_BASE_TOOLS,
_LLM_TOOLS,
_EXTRA_LLM_TOOLS,
_EXTRA_OPTIONAL_TOOLS,
)
import util
import list
import inspect
# build router
router = APIRouter(
prefix="/signatures",
tags=["signatures"],
)
KEYS_TO_REMOVE = ["name", "default_factory"]
def build_template_from_function(name: str, dict: dict):
classes = [item.__annotations__["return"].__name__ for item in dict.values()]
# Raise error if name is not in chains
if name not in classes:
raise Exception(f"{name} not found.")
for k, v in dict.items():
if v.__annotations__["return"].__name__ == name:
_type = k
_class = v.__annotations__["return"]
docs = util.get_class_doc(_class)
variables = {}
for name, value in _class.__fields__.items():
variables[name] = {}
for name_, value_ in value.__repr_args__():
if name_ not in KEYS_TO_REMOVE:
variables[name][name_] = value_
variables[name]["placeholder"] = docs["Attributes"][name] if name in docs["Attributes"] else ""
return {
"template": util.format_dict(variables),
"_type": _type,
"description": docs["Description"],
}
# return {
# "template": util.format_dict(
# {
# name: {
# name: value
# for (name, value) in value.__repr_args__()
# if name not in KEYS_TO_REMOVE
# }
# for name, value in _class.__fields__.items()
# }
# ),
# "_type": _type,
# "description": _class.__doc__,
# }
def build_template_from_class(name: str, dict: dict):
classes = [item.__name__ for item in dict.values()]
# Raise error if name is not in chains
if name not in classes:
raise Exception(f"{name} not found.")
for k, v in dict.items():
if v.__name__ == name:
_type = k
_class = v
docs = util.get_class_doc(_class)
variables = {}
for name, value in _class.__fields__.items():
variables[name] = {}
for name_, value_ in value.__repr_args__():
if name_ not in KEYS_TO_REMOVE:
variables[name][name_] = value_
variables[name]["placeholder"] = docs["Attributes"][name] if name in docs["Attributes"] else ""
return {
"template": util.format_dict(variables),
"_type": _type,
"description": docs["Description"],
}
# return {
# "template": util.format_dict(
# {
# name: {
# name: value
# for (name, value) in value.__repr_args__()
# if name not in KEYS_TO_REMOVE
# }
# for name, value in _class.__fields__.items()
# }
# ),
# "_type": _type,
# "description": _class.__doc__,
# }
@router.get("/chain")
def chain(name: str):
return build_template_from_function(name, chains.loading.type_to_loader_dict)
@router.get("/agent")
def agent(name: str):
return build_template_from_class(name, agents.loading.AGENT_TO_CLASS)
@router.get("/prompt")
def prompt(name: str):
return build_template_from_function(name, prompts.loading.type_to_loader_dict)
@router.get("/llm")
def llm(name: str):
return build_template_from_class(name, llms.type_to_cls_dict)
# @router.get("/utility")
# def utility(name: str):
# # Raise error if name is not in utilities
# if name not in utilities.__all__:
# raise Exception(f"Prompt {name} not found.")
# _class = getattr(utilities, name)
# return {
# name: {name: value for (name, value) in value.__repr_args__() if name != "name"}
# for name, value in _class.__fields__.items()
# }
@router.get("/memory")
def memory(name: str):
return build_template_from_class(name, memories.type_to_cls_dict)
# @router.get("/document_loader")
# def document_loader(name: str):
# # Raise error if name is not in document_loader
# if name not in document_loaders.__all__:
# raise Exception(f"Prompt {name} not found.")
# _class = getattr(document_loaders, name)
# return {
# name: {name: value for (name, value) in value.__repr_args__() if name != "name"}
# for name, value in _class.__fields__.items()
# }
@router.get("/tool")
def tool(name: str):
# Raise error if name is not in tools
if name not in get_all_tool_names():
raise Exception(f"Tool {name} not found.")
type_dict = {
"str": {
"type": "str",
"required": True,
"list": False,
"show": True,
"placeholder": "",
"default": "",
},
"llm": {"type": "BaseLLM", "required": True, "list": False, "show": True},
}
if name in _BASE_TOOLS:
params = []
elif name in _LLM_TOOLS:
params = ["llm"]
elif name in _EXTRA_LLM_TOOLS:
_, extra_keys = _EXTRA_LLM_TOOLS[name]
params = ["llm"] + extra_keys
elif name in _EXTRA_OPTIONAL_TOOLS:
_, extra_keys = _EXTRA_OPTIONAL_TOOLS[name]
params = extra_keys
return {
param: (type_dict[param] if param == "llm" else type_dict["str"])
for param in params
}

View file

@ -1,125 +0,0 @@
from fastapi import APIRouter
from langchain import chains
from langchain import agents
from langchain import prompts
from langchain import llms
from langchain import utilities
from langchain.chains.conversation import memory as memories
from langchain import document_loaders
from langchain.agents.load_tools import (
get_all_tool_names,
_BASE_TOOLS,
_LLM_TOOLS,
_EXTRA_LLM_TOOLS,
_EXTRA_OPTIONAL_TOOLS,
)
import util
# build router
router = APIRouter(
prefix="/templates",
tags=["templates"],
)
@router.get("/chain")
def chain(name: str):
# Raise error if name is not in chains
if name not in chains.loading.type_to_loader_dict.keys():
raise Exception(f"Prompt {name} not found.")
_class = chains.loading.type_to_loader_dict[name].__annotations__["return"]
return {
name: {name: value for (name, value) in value.__repr_args__() if name != "name"}
for name, value in _class.__fields__.items()
}
@router.get("/agent")
def agent(name: str):
# Raise error if name is not in agents
if name not in agents.loading.AGENT_TO_CLASS.keys():
raise Exception(f"Prompt {name} not found.")
_class = agents.loading.AGENT_TO_CLASS[name]
return {
name: {name: value for (name, value) in value.__repr_args__() if name != "name"}
for name, value in _class.__fields__.items()
}
@router.get("/prompt")
def prompt(name: str):
# Raise error if name is not in prompts
if name not in prompts.loading.type_to_loader_dict.keys():
raise Exception(f"Prompt {name} not found.")
_class = prompts.loading.type_to_loader_dict[name].__annotations__["return"]
return {
name: {name: value for (name, value) in value.__repr_args__() if name != "name"}
for name, value in _class.__fields__.items()
}
@router.get("/llm")
def llm(name: str):
# Raise error if name is not in llms
if name not in llms.type_to_cls_dict.keys():
raise Exception(f"Prompt {name} not found.")
_class = llms.type_to_cls_dict[name]
return {
name: {name: value for (name, value) in value.__repr_args__() if name != "name"}
for name, value in _class.__fields__.items()
}
@router.get("/utility")
def utility(name: str):
# Raise error if name is not in utilities
if name not in utilities.__all__:
raise Exception(f"Prompt {name} not found.")
_class = getattr(utilities, name)
return {
name: {name: value for (name, value) in value.__repr_args__() if name != "name"}
for name, value in _class.__dict__["__fields__"].items()
}
@router.get("/memory")
def memory(name: str):
# Raise error if name is not in memory
if name not in memories.type_to_cls_dict.keys():
raise Exception(f"Prompt {name} not found.")
_class = memories.type_to_cls_dict[name]
return {
name: {name: value for (name, value) in value.__repr_args__() if name != "name"}
for name, value in _class.__dict__["__fields__"].items()
}
@router.get("/document_loader")
def document_loader(name: str):
# Raise error if name is not in document_loader
if name not in document_loaders.__all__:
raise Exception(f"Prompt {name} not found.")
_class = getattr(document_loaders, name)
return {
name: {name: value for (name, value) in value.__repr_args__() if name != "name"}
for name, value in _class.__fields__.items()
}
@router.get("/tool")
def tool(name: str):
# Raise error if name is not in tools
if name not in get_all_tool_names():
raise Exception(f"Tool {name} not found.")
if name in _BASE_TOOLS:
return {"parameters": []}
elif name in _LLM_TOOLS:
return {"parameters": ["llm"]}
elif name in _EXTRA_LLM_TOOLS:
_, extra_keys = _EXTRA_LLM_TOOLS[name]
return {"parameters": ["llm"] + extra_keys}
elif name in _EXTRA_OPTIONAL_TOOLS:
_, extra_keys = _EXTRA_OPTIONAL_TOOLS[name]
return {"parameters": extra_keys}

View file

@ -27,3 +27,148 @@ def get_tool_params(func):
# Return None if no return statement was found
return None
def get_class_doc(class_name):
"""
Extracts information from the docstring of a given class.
Args:
class_name: the class to extract information from
Returns:
A dictionary containing the extracted information, with keys
for 'Description', 'Parameters', 'Attributes', and 'Returns'.
"""
# Get the class docstring
docstring = class_name.__doc__
# Parse the docstring to extract information
lines = docstring.split("\n")
data = {
"Description": "",
"Parameters": {},
"Attributes": {},
"Example": [],
"Returns": {},
}
current_section = "Description"
for line in lines:
line = line.strip()
if not line:
continue
if (
line.startswith(tuple(data.keys()))
and len(line.split()) == 1
and line.endswith(":")
):
current_section = line[:-1]
continue
if current_section == "Description":
data[current_section] += line
elif current_section == "Example":
data[current_section] += line
else:
try:
param, desc = line.split(":")
except:
param, desc = "", ""
data[current_section][param.strip()] = desc.strip()
return data
# def format_dict(d):
# # Remove from keys
# keys_to_remove = ["callback_manager"]
# for key in keys_to_remove:
# if key in d:
# d.pop(key)
# for key, value in d.items():
# _type = value["type"]
# # Add optional parameter
# if "Optional" in _type:
# _type = _type.replace("Optional[", "")[:-1]
# # Add list parameter
# if "List" in _type:
# _type = _type.replace("List[", "")[:-1]
# value["list"] = True
# else:
# value["list"] = False
# if "Mapping" in _type:
# _type = _type.replace("Mapping", "dict")
# value["type"] = _type
# # Show if required
# if value["required"] or key in ["allowed_tools", "verbose", "Memory"]:
# value["show"] = True
# else:
# value["show"] = False
# # If default, change to value
# if value['type'] == 'str':
# value["value"] = value["default"] if 'default' in value else ''
# if 'default' in value:
# value.pop("default")
# return {key: value for key, value in d.items() if value["show"]}
def format_dict(d):
"""
Formats a dictionary by removing certain keys and modifying the values of other keys.
Args:
d: the dictionary to format
Returns:
A new dictionary with the desired modifications applied.
"""
# Remove keys to exclude
keys_to_exclude = ["callback_manager"]
d = {key: value for key, value in d.items() if key not in keys_to_exclude}
# Process remaining keys
for key, value in d.items():
_type = value["type"]
# Remove 'Optional' wrapper
if "Optional" in _type:
_type = _type.replace("Optional[", "")[:-1]
# Check for list type
if "List" in _type:
_type = _type.replace("List[", "")[:-1]
value["list"] = True
else:
value["list"] = False
# Replace 'Mapping' with 'dict'
if "Mapping" in _type:
_type = _type.replace("Mapping", "dict")
value["type"] = _type
# Show if required
value["show"] = bool(
value["required"] or key in ["allowed_tools", "verbose", "Memory"]
)
# Replace default value with actual value
if _type == "str":
value["value"] = value.get("default", "")
if "default" in value:
value.pop("default")
# Filter out keys that should not be shown
return {key: value for key, value in d.items() if value["show"]}