diff --git a/examples/experimental/auto_example.ipynb b/examples/experimental/auto_example.ipynb new file mode 100644 index 000000000..e61be547e --- /dev/null +++ b/examples/experimental/auto_example.ipynb @@ -0,0 +1,365 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Auto\n", + "\n", + "Demonstrations of the `trulens-auto` package features." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from pathlib import Path\n", + "import sys\n", + "\n", + "# Add base dir to path to be able to access test folder.\n", + "base_dir = Path().cwd().parent.parent.resolve()\n", + "if str(base_dir) not in sys.path:\n", + " print(f\"Adding {base_dir} to sys.path\")\n", + " sys.path.append(str(base_dir))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Main import\n", + "\n", + "The `auto` module contains everything to get started with __TruLens__. and requires installation of only one package: `trulens-auto`. It can be displayed in a notebook to list its contents." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# ! pip install trulens-auto\n", + "\n", + "from trulens import auto\n", + "\n", + "auto" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Auto installation\n", + "\n", + "Requests for features that require another optional `trulens-*` to be installed will install them automatically." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# ! pip uninstall -y trulens-providers-litellm\n", + "from trulens.auto import LiteLLM\n", + "\n", + "LiteLLM" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Error handling\n", + "\n", + "Accessing `auto` attributes that do not correspond to any member will also produce the above index." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Submodules\n", + "\n", + "Submodules of `auto` feature a subsets of `auto` content with a few additions each to delve deeper.\n", + "\n", + "- `instrument` contains recorders, enums for configuring recorders, and the interface classes that recorders inherit from.\n", + "\n", + "- `providers` contains providers.\n", + "\n", + "- `feedback` contains everything needed to define feedback functions or feedback function implementations.\n", + "\n", + "- `dashboard` contains dashboard functions.\n", + "\n", + "- `connectors` contains connectors." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "### Instruments\n", + "from trulens.auto import instrument\n", + "\n", + "instrument" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "### Providers\n", + "from trulens.auto import providers\n", + "\n", + "providers" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#\n", + "from trulens.auto import providers\n", + "\n", + "providers" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "### feedback-related\n", + "\n", + "from trulens.auto import feedback\n", + "\n", + "feedback" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "### dashboard functions\n", + "\n", + "from trulens.auto import dashboard\n", + "\n", + "dashboard" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Minimal Example\n", + "\n", + "Minimal usage requires only the import of the recorder class." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from trulens.auto import TruCustomApp\n", + "\n", + "from examples.dev.dummy_app.app import DummyApp\n", + "\n", + "# Create custom app:\n", + "ca = DummyApp()\n", + "\n", + "# Create trulens wrapper:\n", + "ta = TruCustomApp(ca)\n", + "\n", + "with ta as recorder:\n", + " res = ca.respond_to_query(\"hello there\")\n", + "res" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Minimal Example Option 1 (Implementation TODO)\n", + "\n", + "- Add dashboard methods to Apps so we don't have to import session." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from trulens.auto import TruCustomApp\n", + "\n", + "from examples.dev.dummy_app.app import DummyApp\n", + "\n", + "# Create custom app:\n", + "ca = DummyApp()\n", + "\n", + "# Create trulens wrapper:\n", + "ta = TruCustomApp(ca)\n", + "\n", + "with ta as recorder:\n", + " res = ca.respond_to_query(\"hello there\")\n", + "\n", + "ta.run_dashboard() # Currently not included" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Minimal Example Option 2 (Implementation TODO)\n", + "\n", + "- Define a default session `trulens.auto.session` __instance__ so it doesn't need to be initialized." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from trulens.auto import session # \"session\" is a default session instance\n", + "\n", + "from examples.dev.dummy_app.app import DummyApp\n", + "\n", + "# Create custom app:\n", + "ca = DummyApp()\n", + "\n", + "# Create trulens wrapper:\n", + "ta = session.App(ca)\n", + "\n", + "with ta as recorder:\n", + " res = ca.respond_to_query(\"hello there\")\n", + "\n", + "session.run_dashboard() # Currently not included" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Minimal Example Option 3 (Implementation TODO)\n", + "\n", + "- Initialize session but use that to create App, either by type or automatic type guess." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from trulens.auto import TruSession\n", + "\n", + "from examples.dev.dummy_app.app import DummyApp\n", + "\n", + "session = TruSession()\n", + "\n", + "# Create custom app:\n", + "ca = DummyApp()\n", + "\n", + "# Create trulens wrapper:\n", + "ta = session.Custom(ca) # or session.App(ca) # last option preferable\n", + "\n", + "with ta as recorder:\n", + " res = ca.respond_to_query(\"hello there\")\n", + "\n", + "session.run_dashboard()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Current dashboard\n", + "\n", + "- Requires importing another thing." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# To add dashboard:\n", + "from trulens.auto import run_dashboard\n", + "\n", + "run_dashboard()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# To add feedback:\n", + "from trulens.auto import Feedback\n", + "from trulens.auto import HuggingfaceDummy\n", + "\n", + "# Create provider\n", + "provider = HuggingfaceDummy()\n", + "\n", + "# Create feedback functions.\n", + "lang_match = Feedback(provider.language_match).on_input_output()\n", + "sentiment = Feedback(provider.positive_sentiment).on_output()\n", + "\n", + "# Create custom app:\n", + "ca = DummyApp()\n", + "\n", + "# Create trulens wrapper:\n", + "ta = TruCustomApp(\n", + " ca,\n", + " app_name=\"customapp\",\n", + " feedbacks=[lang_match, sentiment],\n", + ")\n", + "\n", + "# Invoke app\n", + "with ta as recorder:\n", + " res = ca.respond_to_query(\"hello there\")\n", + "res\n", + "\n", + "# Get feedback results; note that dummy providers return nonsensical feedback.\n", + "for fdef, fres in recorder.get().feedback_and_future_results:\n", + " print(fdef.name, fres.result().result)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "trulens-Hw0Dq8Lu-py3.11", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/poetry.lock b/poetry.lock index 478e62f06..bd2cde0d4 100644 --- a/poetry.lock +++ b/poetry.lock @@ -510,17 +510,17 @@ files = [ [[package]] name = "boto3" -version = "1.35.4" +version = "1.35.6" description = "The AWS SDK for Python" optional = false python-versions = ">=3.8" files = [ - {file = "boto3-1.35.4-py3-none-any.whl", hash = "sha256:96c39593afb7b55ebb74d08c8e3201041d105b557c8c8536c9054c9f13da5f2a"}, - {file = "boto3-1.35.4.tar.gz", hash = "sha256:d997b82c468bd5c2d5cd29810d47079b66b178d2b5ae021aebe262c4d78d4c94"}, + {file = "boto3-1.35.6-py3-none-any.whl", hash = "sha256:c35c560ef0cb0f133b6104bc374d60eeb7cb69c1d5d7907e4305a285d162bef0"}, + {file = "boto3-1.35.6.tar.gz", hash = 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+1261,13 @@ tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipyth [[package]] name = "faker" -version = "27.4.0" +version = "28.0.0" description = "Faker is a Python package that generates fake data for you." optional = false python-versions = ">=3.8" files = [ - {file = "Faker-27.4.0-py3-none-any.whl", hash = "sha256:1c44d4bdcad7237516c9a829b6a0bcb031c6a4cb0506207c480c79f74d8922bf"}, - {file = "faker-27.4.0.tar.gz", hash = "sha256:4ce108fc96053bbba3abf848e3a2885f05faa938deb987f97e4420deaec541c4"}, + {file = "Faker-28.0.0-py3-none-any.whl", hash = "sha256:6a3a08be54c37e05f7943d7ba5211d252c1de737687a46ad6f29209d8d5db11f"}, + {file = "faker-28.0.0.tar.gz", hash = "sha256:0d3c0399204aaf8205cc1750db443474ca0436f177126b2c27b798e8336cc74f"}, ] [package.dependencies] @@ -1275,13 +1275,13 @@ python-dateutil = ">=2.4" [[package]] name = "fastapi" -version = "0.112.1" +version = "0.112.2" description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production" optional = false python-versions = ">=3.8" files = [ - {file = "fastapi-0.112.1-py3-none-any.whl", hash = "sha256:bcbd45817fc2a1cd5da09af66815b84ec0d3d634eb173d1ab468ae3103e183e4"}, - {file = "fastapi-0.112.1.tar.gz", hash = "sha256:b2537146f8c23389a7faa8b03d0bd38d4986e6983874557d95eed2acc46448ef"}, + {file = "fastapi-0.112.2-py3-none-any.whl", hash = "sha256:db84b470bd0e2b1075942231e90e3577e12a903c4dc8696f0d206a7904a7af1c"}, + {file = "fastapi-0.112.2.tar.gz", hash = "sha256:3d4729c038414d5193840706907a41839d839523da6ed0c2811f1168cac1798c"}, ] [package.dependencies] @@ -1290,18 +1290,18 @@ starlette = ">=0.37.2,<0.39.0" typing-extensions = ">=4.8.0" [package.extras] -all = ["email_validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.5)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.7)", "pyyaml (>=5.3.1)", "ujson 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Extract the structure, the frame, the skeleton of your project, to generate API documentation or find breaking changes in your API." optional = false python-versions = ">=3.8" files = [ - {file = "griffe-1.1.1-py3-none-any.whl", hash = "sha256:0c469411e8d671a545725f5c0851a746da8bd99d354a79fdc4abd45219252efb"}, - {file = "griffe-1.1.1.tar.gz", hash = "sha256:faeb78764c0b2bd010719d6e015d07709b0f260258b5d4dd6c88343d9702aa30"}, + {file = "griffe-1.2.0-py3-none-any.whl", hash = "sha256:a8b2fcb1ecdc5a412e646b0b4375eb20a5d2eac3a11dd8c10c56967a4097663c"}, + {file = "griffe-1.2.0.tar.gz", hash = "sha256:1c9f6ef7455930f3f9b0c4145a961c90385d1e2cbc496f7796fbff560ec60d31"}, ] [package.dependencies] @@ -1887,13 +1887,13 @@ license = ["ukkonen"] [[package]] name = "idna" -version = "3.7" +version = "3.8" description = "Internationalized Domain Names in Applications (IDNA)" optional = false -python-versions = ">=3.5" +python-versions = ">=3.6" files = [ - {file = "idna-3.7-py3-none-any.whl", hash = "sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0"}, - 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files" +optional = false +python-versions = ">=3.8" +files = [ + {file = "zipp-3.20.1-py3-none-any.whl", hash = "sha256:9960cd8967c8f85a56f920d5d507274e74f9ff813a0ab8889a5b5be2daf44064"}, + {file = "zipp-3.20.1.tar.gz", hash = "sha256:c22b14cc4763c5a5b04134207736c107db42e9d3ef2d9779d465f5f1bcba572b"}, +] + +[package.extras] +check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"] +cover = ["pytest-cov"] +doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] +enabler = ["pytest-enabler (>=2.2)"] +test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"] +type = ["pytest-mypy"] + +[metadata] +lock-version = "2.0" +python-versions = "^3.9" +content-hash = "0d450a800e5e994a76ac376d4f7ca9d137c97eb982748f9e7bb2b799514905b8" diff --git a/src/auto/pyproject.toml b/src/auto/pyproject.toml new file mode 100644 index 000000000..37d8fb0ed --- /dev/null +++ b/src/auto/pyproject.toml @@ -0,0 +1,39 @@ +[build-system] +build-backend = "poetry.core.masonry.api" +requires = [ + "poetry-core", +] + +[tool.poetry] +name = "trulens-auto" +version = "1.0.1a0" +description = "Interactive/notebook interfaces for trulens." +authors = [ + "Truera Inc ", +] +license = "MIT" +readme = "README.md" +packages = [ + { include = "trulens" }, +] +homepage = "https://trulens.org/" +documentation = "https://trulens.org/trulens/getting_started/" +repository = "https://github.com/truera/trulens" +classifiers = [ + "Programming Language :: Python :: 3", + "Operating System :: OS Independent", + "Development Status :: 3 - Alpha", + "License :: OSI Approved :: MIT License", +] + +[tool.poetry.dependencies] +python = "^3.9" +trulens = { version = "^1.0.0", allow-prereleases = true } +trulens-core = { version = "^1.0.0", allow-prereleases = true } +trulens-feedback = { version = "^1.0.0", allow-prereleases = true } +trulens-dashboard = { version = "^1.0.0", allow-prereleases = true, python = "!=3.9.7" } + +[tool.poetry.group.dev.dependencies] +trulens-core = { path = "../core", develop = true } +trulens-feedback = { path = "../feedback", develop = true } +trulens-dashboard = { path = "../dashboard", develop = true, python = "!=3.9.7" } diff --git a/src/auto/trulens/auto/__init__.py b/src/auto/trulens/auto/__init__.py new file mode 100644 index 000000000..e34f1dddb --- /dev/null +++ b/src/auto/trulens/auto/__init__.py @@ -0,0 +1,145 @@ +# ruff: noqa: E402, F822 +"""TruLens notebook utilities.""" + +from importlib.metadata import version + +from trulens.core.utils.imports import safe_importlib_package_name + +__version__ = version(safe_importlib_package_name(__package__ or __name__)) + +from typing import TYPE_CHECKING + +if TYPE_CHECKING: + # This is needed for static tools like mypy and mkdocstrings to figure out + # content of this module. + + # Feedback specification schemas/classes/enums + ## Main class + from trulens.core.feedback.feedback import Feedback + from trulens.core.schema import feedback as feedback_schema + + ## Schemas + FeedbackResult = feedback_schema.FeedbackResult + FeedbackCall = feedback_schema.FeedbackCall + FeedbackDefinition = feedback_schema.FeedbackDefinition + + ## Enums + FeedbackMode = feedback_schema.FeedbackMode + FeedbackResultStatus = feedback_schema.FeedbackResultStatus + FeedbackOnMissingParameters = feedback_schema.FeedbackOnMissingParameters + FeedbackCombinations = feedback_schema.FeedbackCombinations + + # Sessions + from trulens.connectors.snowflake.connector import SnowflakeDBConnector + + # Recorders: + from trulens.core.app.basic import TruBasicApp + from trulens.core.app.custom import TruCustomApp + from trulens.core.app.virtual import TruVirtual + + # Connectors + from trulens.core.database.connector.base import DefaultDBConnector + from trulens.core.schema import Select + from trulens.core.tru import TruSession + + # Dashboard + from trulens.dashboard.run import run_dashboard + from trulens.dashboard.run import stop_dashboard + from trulens.instrument.langchain.tru_chain import TruChain + from trulens.instrument.llamaindex.tru_llama import TruLlama + from trulens.instrument.nemo.tru_rails import TruRails + + # Providers: + from trulens.providers.bedrock.provider import Bedrock + from trulens.providers.cortex.provider import Cortex + from trulens.providers.huggingface.provider import Huggingface + from trulens.providers.huggingface.provider import HuggingfaceLocal + from trulens.providers.langchain.provider import Langchain + from trulens.providers.litellm.provider import LiteLLM + from trulens.providers.openai.provider import AzureOpenAI + from trulens.providers.openai.provider import OpenAI + +_SESSION = { + "TruSession": ("trulens-core", "trulens.core.session"), +} + +from trulens.auto import connectors as mod_connectors +from trulens.auto import dashboard as mod_dashboard +from trulens.auto import feedback as mod_feedback +from trulens.auto import instrument as mod_instrument +from trulens.auto import providers as mod_providers +from trulens.auto._utils import auto as auto_utils + + +def set_no_install(val: bool = True) -> None: + """Sets the NO_INSTALL flag to make sure optional packages are not + automatically installed.""" + auto_utils.NO_INSTALL = val + + +_UTILITIES = { + "set_no_install": ("trulens-auto", "trulens.auto"), + "__version__": ("trulens-auto", "trulens.auto"), +} + +_KINDS = { + "recorder": mod_instrument._RECORDERS, + "provider": {**mod_providers._PROVIDERS, **mod_providers._CONSTRUCTORS}, + "feedback": {**mod_feedback._SPECS, **mod_feedback._CONFIGS}, + "dashboard": mod_dashboard._FUNCTIONS, + "configuration": {**_SESSION, **_UTILITIES}, + "connector": mod_connectors._CONNECTORS, +} + +__getattr__ = auto_utils.make_getattr_override( + kinds=_KINDS, + kinds_docs={ + "provider": "Providers are also available in `trulens.auto.providers`.", + "recorder": "Recorders are also available in `trulens.auto.instrument`.", + "dashboard": "Dashboard functions are also available in `trulens.auto.dashboard`.", + "connector": "Connectors are also available in `trulens.auto.connectors`.", + "feedback": "Feedback definition/configuration/result classes are also available in `trulens.auto.feedback`.", + }, +) + +__all__ = [ + # recorders types + "TruBasicApp", + "TruCustomApp", + "TruVirtual", + "TruChain", + "TruLlama", + "TruRails", + # dashboard utils, + "run_dashboard", + "stop_dashboard", + # feedback specification enums + "FeedbackMode", + "FeedbackResultStatus", + "FeedbackOnMissingParameters", + "FeedbackCombinations", + # feedback schemas + "Feedback", + "FeedbackResult", + "FeedbackCall", + "FeedbackDefinition", + # feedback specification utilities + "Select", + # session + "TruSession", + # connectors + "DefaultDBConnector", + "SnowflakeDBConnector", + # providers + "AzureOpenAI", + "OpenAI", + "Langchain", + "LiteLLM", + "Bedrock", + "Huggingface", + "HuggingfaceLocal", + "Cortex", + # misc utility + "set_no_install", + "__version__", +] diff --git a/src/auto/trulens/auto/_utils/auto.py b/src/auto/trulens/auto/_utils/auto.py new file mode 100644 index 000000000..ad6075c23 --- /dev/null +++ b/src/auto/trulens/auto/_utils/auto.py @@ -0,0 +1,361 @@ +"""Auto utilities. + +These are for the various interactive use convenience capabilities of the +trulens-auto package. +""" + +import importlib +import logging +from pprint import PrettyPrinter +import subprocess +import sys +from types import ModuleType +from typing import Any, Dict, Optional + +from IPython.lib import pretty +from trulens.core.utils import imports as import_utils +from trulens.core.utils import python as python_utils + +logger = logging.getLogger(__name__) +pp = PrettyPrinter() + +NO_INSTALL: bool = False +"""If set, will not automatically install any optional trulens modules and fail +in the typical way if a module is missing.""" + +DOC_NO_INSTALLS: str = "You can enable automatic installs by calling `trulens.auto.set_no_install(False)`." +"""Instructions for enabling automatic installs.""" + +DOC_INSTALLS = ( + "Importing from this module will install the required package. " + "You can disable this by calling `trulens.auto.set_no_install()`." +) +"""Instructions for disabling automatic installs.""" + + +def pip(*args) -> subprocess.CompletedProcess: + """Execute pip with the given arguments.""" + + logger.debug("Running pip", *args) + + return subprocess.run( + [sys.executable, "-m", "pip", *args], capture_output=True, check=True + ) + + +def install(package_name: str): + """Install a package with pip.""" + + package_name = import_utils.safe_importlib_package_name(package_name) + + logger.info("Installing package %s", package_name) + + pip("install", package_name) + + return import_utils.get_package_version(package_name) + + +def make_help_ipython( + doc: Optional[str] = None, + kinds: Optional[Dict[str, Dict]] = None, + kinds_docs: Optional[Dict[str, str]] = None, + mod: Optional[ModuleType] = None, +) -> pretty.Printable: + """Create a help string that lists all available classes and their installation status.""" + + if mod is None: + mod: ModuleType = sys.modules[ + python_utils.caller_frame(offset=1).f_locals["__name__"] + ] + + mod_docstring = getattr(mod, "__doc__", None) + if mod_docstring is not None: + doc = mod_docstring + "\n\n" + (doc if doc is not None else "") + + if kinds_docs is None: + kinds_docs = {} + + class _PrettyModule(pretty.Printable): + def help(self) -> None: + print(self.__doc__) + + def __repr__(self) -> str: + nonlocal doc, mod, kinds, kinds_docs + + ret = f"Module '{mod.__name__}' from '{mod.__file__}\n" + if doc is not None: + ret += doc + "\n\n" + else: + ret += "\n" + + if kinds is None: + return ret + + for kind, items in kinds.items(): + ret += f"{kind.capitalize()}: \n" + if kind in kinds_docs: + ret += f"{kinds_docs[kind]}\n\n" + + for class_, temp in items.items(): + if len(temp) == 2: + package_name, _ = temp + else: + package_name, _, _ = temp + version = import_utils.get_package_version(package_name) + ret += ( + f" {class_}\t[{package_name}]\t[" + + ( + str(version) + if version is not None + else "not installed" + ) + + "]\n" + ) + + ret += "\n" + + if NO_INSTALL: + ret += DOC_NO_INSTALLS + else: + ret += DOC_INSTALLS + + return ret + + def _repr_markdown_(self) -> str: + nonlocal doc, mod, kinds, kinds_docs + + ret = f"# Module `{mod.__name__}`\n" + ret += f"from `{mod.__file__}`\n\n" + + if doc is not None: + ret += f"{doc}\n\n" + + if kinds is None: + return ret + + for kind, items in kinds.items(): + ret += f"## {kind.capitalize()}\n" + if kind in kinds_docs: + ret += f"{kinds_docs[kind]}\n\n" + + ret += f"{kind} | package | installed version\n" + ret += "--- | --- | ---\n" + for class_, temp in items.items(): + if len(temp) == 2: + package_name, _ = temp + else: + package_name, _, _ = temp + version = import_utils.get_package_version(package_name) + ret += ( + f"`{class_}` | `{package_name}` | " + + ( + str(version) + if version is not None + else "not installed" + ) + + "\n" + ) + ret += "\n" + + if NO_INSTALL: + ret += "\n" + DOC_INSTALLS + else: + ret += "\n" + DOC_NO_INSTALLS + + return ret + + def _repr_pretty_(self, p: pretty.PrettyPrinter, cycle: bool) -> None: + nonlocal doc, mod, kinds, kinds_docs + + p.text(f"{mod.__name__}") + p.break_() + + if doc is not None: + p.text(doc) + p.break_() + p.break_() + + if kinds is None: + return + + p.text("Contents:") + p.break_() + p.break_() + + for kind, items in kinds.items(): + p.begin_group(indent=2, open=kind.capitalize()) + p.break_() + if kind in kinds_docs: + p.text(kinds_docs[kind]) + p.break_() + p.break_() + + p.text(f"{kind} | package | installed version") + p.break_() + p.text("--- | --- | ---") + p.break_() + for class_, temp in items.items(): + if len(temp) == 2: + package_name, _ = temp + else: + package_name, _, _ = temp + version = import_utils.get_package_version(package_name) + p.text( + f"`{class_}` | `{package_name}` | " + + ( + str(version) + if version is not None + else "not installed" + ) + ) + p.break_() + + p.break_() + p.end_group(dedent=2) + + if NO_INSTALL: + p.text(DOC_NO_INSTALLS) + p.break_() + else: + p.text(DOC_INSTALLS) + p.break_() + + p = _PrettyModule() + p.__doc__ = repr(p) + p.__name__ = mod.__name__ + + return p + + +def make_getattr_override( + doc: Optional[str] = None, + kinds: Optional[Dict[str, Dict]] = None, + kinds_docs: Optional[Dict[str, str]] = None, + mod: Optional[ModuleType] = None, +) -> Any: + """Make a custom __getattr__ function for a module to allow automatic + installs of missing modules and better error messages.""" + + if mod is None: + mod: ModuleType = sys.modules[ + python_utils.caller_frame(offset=1).f_locals["__name__"] + ] + + if kinds_docs is None: + kinds_docs = {} + + pretties = make_help_ipython( + doc=doc, kinds=kinds, kinds_docs=kinds_docs, mod=mod + ) + + if mod.__doc__ is None: + mod.__doc__ = pretties.__doc__ + else: + mod.__doc__ += "\n\n" + pretties.__doc__ + + def getattr_(attr): + nonlocal mod, pretties + + if attr in [ + "_ipython_canary_method_should_not_exist_", + "_ipython_display_", + "__warningregistry__", + ]: + raise AttributeError() + + for kind, options in kinds.items(): + if attr in options: + if len(options[attr]) == 2: + package_name, module_name = options[attr] + attr_name = attr + else: + package_name, module_name, attr_name = options[attr] + + try: + mod = import_module( + package_name=package_name, + module_name=module_name, + purpose=f"using the {attr} {kind}", + ) + return getattr(mod, attr_name) + + except ImportError as e: + raise ImportError( + f"""Could not import the {attr} {kind}. You might need to re-install {package_name}: + ```bash + pip uninstall -y {package_name} + pip install {package_name} + ``` + """ + ) from e + + # We also need to the case of an import of a sub-module instead of + # something in __all__ (enumerated in kinds) so we try that here. + # try: + # submod = importlib.import_module(mod.__name__ + "." + attr) + # return submod + # except Exception: + # Use the same error message as the below. + # pass + + if hasattr(pretties, attr): + # Use the represtations from the PrettyModule class. + return getattr(pretties, attr) + + raise AttributeError( + f"Module {mod.__name__} has no attribute {attr}.\n" + repr(pretties) + ) + + return getattr_ + + +def import_module( + package_name: str, module_name: str, purpose: Optional[str] = None +): + """Import a module of the given package but install it if it is not already + installed. + If purpose is given, will use that for the message printed before the + installation if it does happen. + """ + + package_name = import_utils.safe_importlib_package_name(package_name) + + if purpose is None: + purpose = f"using {module_name}" + + try: + if (package := import_utils.get_package_version(package_name)) is None: + if NO_INSTALL: + # Throwing RuntimeError as I don't want this to be caught by the + # importing try blocks. Needs this to be the final error. + raise RuntimeError( + f"Package {package_name} is not installed. Enable automatic installation by calling `trulens.auto.set_no_install(False)` or install it manually with pip: \n\t```bash\n\tpip install '{package_name}'\n\t```" + ) + + if sys.version_info >= (3, 12) and package_name in [ + "trulens-providers-cortex", + "trulens-instrument-nemo", + ]: + # These require python < 3.12 . + # RuntimeError here on purpose. See above. + raise RuntimeError( + f"Package {package_name} required for {purpose} does not support python >= 3.12." + ) + + else: + print( + f"Installing package {package_name} required for {purpose} ..." + ) + + package = install(package_name) + + except subprocess.CalledProcessError as e: + # ImportError here on purpose. Want this to be caught in importing try + # blocks to give additional information. + raise ImportError(f"Could not install {package_name}.") from e + + if package is None: + # Same + raise ImportError(f"Could not install {package_name}.") + + return importlib.import_module(module_name) diff --git a/src/auto/trulens/auto/connectors/__init__.py b/src/auto/trulens/auto/connectors/__init__.py new file mode 100644 index 000000000..a3864b284 --- /dev/null +++ b/src/auto/trulens/auto/connectors/__init__.py @@ -0,0 +1,33 @@ +# ruff: noqa: E402, F822 +"""TruLens database connectors.""" + +from typing import TYPE_CHECKING + +from trulens.auto._utils import auto as auto_utils + +if TYPE_CHECKING: + # Needed for static tools to resolve submodules: + from trulens.connectors.snowflake import SnowflakeDBConnector + from trulens.core.database.connector.base import DefaultDBConnector + +_CONNECTORS = { + "DefaultDBConnector": ( + "trulens-core", + "trulens.core.database.connector.base", + ), + "SnowflakeDBConnector": ( + "trulens-connector-snowflake", + "trulens.connectors.snowflake", + ), +} + +_KINDS = { + "connectors": _CONNECTORS, +} + +__getattr__ = auto_utils.make_getattr_override(kinds=_KINDS) + +__all__ = [ + "DefaultDBConnector", + "SnowflakeDBConnector", +] diff --git a/src/auto/trulens/auto/dashboard/__init__.py b/src/auto/trulens/auto/dashboard/__init__.py new file mode 100644 index 000000000..5df42d683 --- /dev/null +++ b/src/auto/trulens/auto/dashboard/__init__.py @@ -0,0 +1,27 @@ +# ruff: noqa: E402, F822 +"""TruLens dashboard functions.""" + +from typing import TYPE_CHECKING + +from trulens.auto._utils import auto as auto_utils + +if TYPE_CHECKING: + # Needed for static tools to resolve submodules: + from trulens.dashboard.run import run_dashboard + from trulens.dashboard.run import stop_dashboard + +_FUNCTIONS = { + "run_dashboard": ("trulens-dashboard", "trulens.dashboard.run"), + "stop_dashboard": ("trulens-dashboard", "trulens.dashboard.run"), +} + +_KINDS = { + "function": _FUNCTIONS, +} + +__getattr__ = auto_utils.make_getattr_override(kinds=_KINDS) + +__all__ = [ + "run_dashboard", + "stop_dashboard", +] diff --git a/src/auto/trulens/auto/feedback/__init__.py b/src/auto/trulens/auto/feedback/__init__.py new file mode 100644 index 000000000..99fc2f29e --- /dev/null +++ b/src/auto/trulens/auto/feedback/__init__.py @@ -0,0 +1,88 @@ +# ruff: noqa: E402, F822 +"""TruLens feedback function specification and implementation.""" + +from typing import TYPE_CHECKING + +from trulens.auto._utils import auto as auto_utils + +if TYPE_CHECKING: + # Needed for static tools: + + from trulens.core.feedback.feedback import AggCallable + from trulens.core.feedback.feedback import Feedback + from trulens.core.feedback.feedback import ImpCallable + from trulens.core.feedback.feedback import SkipEval + from trulens.core.feedback.provider import Provider + from trulens.core.schema import Select + from trulens.core.schema.feedback import FeedbackCall + from trulens.core.schema.feedback import FeedbackCombinations + from trulens.core.schema.feedback import FeedbackDefinition + from trulens.core.schema.feedback import FeedbackMode + from trulens.core.schema.feedback import FeedbackOnMissingParameters + from trulens.core.schema.feedback import FeedbackResult + from trulens.core.schema.feedback import FeedbackResultStatus + from trulens.feedback.llm_provider import LLMProvider + +_SPECS = { + "Feedback": ("trulens-core", "trulens.feedback.feedback"), + "Select": ("trulens-core", "trulens.core.schema"), + "FeedbackOnMissingParameters": ( + "trulens-core", + "trulens.core.schema.feedback", + ), + "FeedbackCombinations": ("trulens-core", "trulens.core.schema.feedback"), +} + +_CONFIGS = { + "FeedbackMode": ("trulens-core", "trulens.core.schema.feedback"), +} + +_IMPS = { + "SkipEval": ("trulens-core", "trulens.feedback.feedback"), + "ImpCallable": ("trulens-core", "trulens.feedback.feedback"), + "AggCallable": ("trulens-core", "trulens.feedback.feedback"), +} + +_RESULTS = { + "FeedbackResultStatus": ("trulens-core", "trulens.core.schema.feedback"), + "FeedbackResult": ("trulens-core", "trulens.core.schema.feedback"), + "FeedbackCall": ("trulens-core", "trulens.core.schema.feedback"), +} + +_INTERFACES = { + "Provider": ("trulens-core", "trulens.core.feedback.provider"), + "LLMProvider": ("trulens-core", "trulens.feedback.llm_provider"), + "FeedbackDefinition": ("trulens-core", "trulens.core.schema.feedback"), +} + +_KINDS = { + "spec": _SPECS, + "config": _CONFIGS, + "implementation": _IMPS, + "result": _RESULTS, + "interface": _INTERFACES, +} + +__getattr__ = auto_utils.make_getattr_override(kinds=_KINDS) + +__all__ = [ + # feedback specification + "Feedback", + "Select", + "FeedbackOnMissingParameters", + "FeedbackCombinations", + # feedback configuration + "FeedbackMode", + # feedback implementation + "SkipEval", + "ImpCallable", + "AggCallable", + # feedback result enums/schemas + "FeedbackResult", + "FeedbackResultStatus", + "FeedbackCall", + # interfaces + "FeedbackDefinition", + "Provider", + "LLMProvider", +] diff --git a/src/auto/trulens/auto/instrument/__init__.py b/src/auto/trulens/auto/instrument/__init__.py new file mode 100644 index 000000000..bfe960cf9 --- /dev/null +++ b/src/auto/trulens/auto/instrument/__init__.py @@ -0,0 +1,70 @@ +# ruff: noqa: E402, F822 +"""TruLens recorders and configuration.""" + +from typing import TYPE_CHECKING + +from trulens.auto._utils import auto as auto_utils + +if TYPE_CHECKING: + # Needed for static tools to resolve submodules: + from trulens.core.app.base import App + from trulens.core.app.basic import TruBasicApp + from trulens.core.app.custom import TruCustomApp + from trulens.core.app.virtual import TruVirtual + from trulens.core.schema.app import AppDefinition + from trulens.core.schema.feedback import FeedbackMode + from trulens.instrument.langchain.tru_chain import TruChain + from trulens.instrument.llamaindex.tru_llama import TruLlama + from trulens.instrument.nemo.tru_rails import TruRails + +_RECORDERS = { + "TruBasicApp": ("trulens-core", "trulens.core.app.basic"), + "TruCustomApp": ("trulens-core", "trulens.core.app.custom"), + "TruVirtual": ("trulens-core", "trulens.core.app.virtual"), + "TruChain": ( + "trulens-instrument-langchain", + "trulens.instrument.langchain.tru_chain", + ), + "TruLlama": ( + "trulens-instrument-llamaindex", + "trulens.instrument.llamaindex.tru_llama", + ), + "TruRails": ( + "trulens-instrument-nemo", + "trulens.instrument.nemo.tru_rails", + ), +} + +_CONFIGS = { + "FeedbackMode": ("trulens-core", "trulens.core.schema.feedback"), +} + +_INTERFACES = { + "App": ("trulens-core", "trulens.core.app.base"), + "AppDefinition": ("trulens-core", "trulens.core.schema.app"), +} + +_KINDS = { + "recorder": _RECORDERS, + "config": _CONFIGS, + "interface": _INTERFACES, +} + +__getattr__ = auto_utils.make_getattr_override( + doc="TruLens app recorders.", kinds=_KINDS +) + +__all__ = [ + # recorders + "TruBasicApp", + "TruCustomApp", + "TruVirtual", + "TruChain", + "TruLlama", + "TruRails", + # recorder configuration + "FeedbackMode", + # interfaces + "App", + "AppDefinition", +] diff --git a/src/auto/trulens/auto/providers/__init__.py b/src/auto/trulens/auto/providers/__init__.py new file mode 100644 index 000000000..20296b0ff --- /dev/null +++ b/src/auto/trulens/auto/providers/__init__.py @@ -0,0 +1,106 @@ +# ruff: noqa: E402 +"""TruLens providers and provider constructors.""" + +from typing import TYPE_CHECKING + +from trulens.auto._utils import auto as auto_utils + +if TYPE_CHECKING: + # Needed for static tools: + from trulens.core.feedback.provider import Provider + from trulens.feedback.dummy.provider import DummyProvider + from trulens.feedback.embeddings import Embeddings + from trulens.feedback.groundtruth import GroundTruthAggregator + from trulens.feedback.groundtruth import GroundTruthAgreement + from trulens.feedback.llm_provider import LLMProvider + from trulens.providers.bedrock.provider import Bedrock + from trulens.providers.cortex.provider import Cortex + from trulens.providers.huggingface.provider import Dymmy as HuggingfaceDummy + from trulens.providers.huggingface.provider import Huggingface + from trulens.providers.huggingface.provider import HuggingfaceLocal + from trulens.providers.langchain.provider import Langchain + from trulens.providers.litellm.provider import LiteLLM + from trulens.providers.openai.provider import AzureOpenAI + from trulens.providers.openai.provider import OpenAI + +# Providers: +_PROVIDERS = { + "DummyProvider": ("trulens-feedback", "trulens.feedback.dummy.provider"), + "Bedrock": ( + "trulens-providers-bedrock", + "trulens.providers.bedrock.provider", + ), + "Cortex": ("trulens-providers-cortex", "trulens.providers.cortex.provider"), + "Huggingface": ( + "trulens-providers-huggingface", + "trulens.providers.huggingface.provider", + ), + "HuggingfaceLocal": ( + "trulens-providers-huggingface", + "trulens.providers.huggingface.provider", + ), + "HuggingfaceDummy": ( + "trulens-providers-huggingface", + "trulens.providers.huggingface.provider", + "Dummy", + ), + "Langchain": ( + "trulens-providers-langchain", + "trulens.providers.langchain.provider", + ), + "LiteLLM": ( + "trulens-providers-litellm", + "trulens.providers.litellm.provider", + ), + "OpenAI": ("trulens-providers-openai", "trulens.providers.openai.provider"), + "AzureOpenAI": ( + "trulens-providers-openai", + "trulens.providers.openai.provider", + ), +} + +_CONSTRUCTORS = { + "Embeddings": ("trulens-feedback", "trulens.feedback.embeddings"), + "GroundTruthAggregator": ( + "trulens-feedback", + "trulens.feedback.groundtruth", + ), + "GroundTruthAgreement": ( + "trulens-feedback", + "trulens.feedback.llm_provider", + ), +} + +_INTERFACES = { + "Provider": ("trulens-core", "trulens.core.feedback.provider"), + "LLMProvider": ("trulens-feedback", "trulens.feedback.llm_provider"), +} + +_KINDS = { + "provider": 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= ["chardet (>=3.0.2,<6)"] [[package]] name = "rich" -version = "13.7.1" +version = "13.8.0" description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal" optional = false python-versions = ">=3.7.0" files = [ - {file = "rich-13.7.1-py3-none-any.whl", hash = "sha256:4edbae314f59eb482f54e9e30bf00d33350aaa94f4bfcd4e9e3110e64d0d7222"}, - {file = "rich-13.7.1.tar.gz", hash = "sha256:9be308cb1fe2f1f57d67ce99e95af38a1e2bc71ad9813b0e247cf7ffbcc3a432"}, + {file = "rich-13.8.0-py3-none-any.whl", hash = "sha256:2e85306a063b9492dffc86278197a60cbece75bcb766022f3436f567cae11bdc"}, + {file = "rich-13.8.0.tar.gz", hash = "sha256:a5ac1f1cd448ade0d59cc3356f7db7a7ccda2c8cbae9c7a90c28ff463d3e91f4"}, ] [package.dependencies] diff --git a/src/instrument/nemo/poetry.lock b/src/instrument/nemo/poetry.lock index 66fa63567..8073692b6 100644 --- a/src/instrument/nemo/poetry.lock +++ b/src/instrument/nemo/poetry.lock @@ -428,13 +428,13 @@ test = ["pytest (>=6)"] 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files = [ - {file = "idna-3.7-py3-none-any.whl", hash = "sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0"}, - {file = "idna-3.7.tar.gz", hash = "sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc"}, + {file = "idna-3.8-py3-none-any.whl", hash = "sha256:050b4e5baadcd44d760cedbd2b8e639f2ff89bbc7a5730fcc662954303377aac"}, + {file = "idna-3.8.tar.gz", hash = "sha256:d838c2c0ed6fced7693d5e8ab8e734d5f8fda53a039c0164afb0b82e771e3603"}, ] [[package]] @@ -900,13 +900,13 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0" [[package]] name = "langchain-core" -version = "0.2.34" +version = "0.2.35" description = "Building applications with LLMs through composability" optional = false python-versions = "<4.0,>=3.8.1" files = [ - {file = "langchain_core-0.2.34-py3-none-any.whl", hash = "sha256:c4fd158273e28cef758b4eccc956b424b76d4bb9117ce6014ae6eb2fb985801d"}, - {file = "langchain_core-0.2.34.tar.gz", hash = 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Easy to code. Based on Python type hints." optional = false python-versions = ">=3.7" files = [ - {file = "typer-0.12.4-py3-none-any.whl", hash = "sha256:819aa03699f438397e876aa12b0d63766864ecba1b579092cc9fe35d886e34b6"}, - {file = "typer-0.12.4.tar.gz", hash = "sha256:c9c1613ed6a166162705b3347b8d10b661ccc5d95692654d0fb628118f2c34e6"}, + {file = "typer-0.12.5-py3-none-any.whl", hash = "sha256:62fe4e471711b147e3365034133904df3e235698399bc4de2b36c8579298d52b"}, + {file = "typer-0.12.5.tar.gz", hash = "sha256:f592f089bedcc8ec1b974125d64851029c3b1af145f04aca64d69410f0c9b722"}, ] [package.dependencies] diff --git a/src/providers/bedrock/poetry.lock b/src/providers/bedrock/poetry.lock index fc4f3efdc..1d8f88919 100644 --- a/src/providers/bedrock/poetry.lock +++ b/src/providers/bedrock/poetry.lock @@ -32,17 +32,17 @@ files = [ [[package]] name = "boto3" -version = "1.35.4" +version = "1.35.6" description = "The AWS SDK for Python" optional = false python-versions = ">=3.8" files = [ - {file = 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