From dbe2e9413d69072440e1fb6d8a89e15424bfa8c1 Mon Sep 17 00:00:00 2001 From: Nicholas Fleischhauer Date: Thu, 6 Feb 2025 16:12:10 -0800 Subject: [PATCH 1/3] Add other files (format) --- .../adalflow/components/model_client/utils.py | 1 + .../components/retriever/bm25_retriever.py | 2 +- .../components/retriever/qdrant_retriever.py | 23 +- adalflow/adalflow/core/component.py | 3 +- adalflow/adalflow/core/string_parser.py | 3 +- adalflow/adalflow/eval/g_eval.py | 3 +- adalflow/adalflow/utils/lazy_import.py | 2 +- adalflow/poetry.lock | 998 ++++++++++-------- adalflow/pyproject.toml | 72 +- adalflow/tests/test_qdrant_retriever.py | 152 ++- poetry.lock | 55 +- pyproject.toml | 4 + 12 files changed, 766 insertions(+), 552 deletions(-) diff --git a/adalflow/adalflow/components/model_client/utils.py b/adalflow/adalflow/components/model_client/utils.py index 3c0e21fdf..240855530 100644 --- a/adalflow/adalflow/components/model_client/utils.py +++ b/adalflow/adalflow/components/model_client/utils.py @@ -1,4 +1,5 @@ "Helpers for model client for integrating models and parsing the output." + from adalflow.core.types import EmbedderOutput, Embedding, Usage diff --git a/adalflow/adalflow/components/retriever/bm25_retriever.py b/adalflow/adalflow/components/retriever/bm25_retriever.py index 012c7ab11..ab7f3fea8 100644 --- a/adalflow/adalflow/components/retriever/bm25_retriever.py +++ b/adalflow/adalflow/components/retriever/bm25_retriever.py @@ -1,4 +1,4 @@ -"""BM25 retriever implementation. """ +"""BM25 retriever implementation.""" from typing import List, Dict, Optional, Callable, Any, Sequence import numpy as np diff --git a/adalflow/adalflow/components/retriever/qdrant_retriever.py b/adalflow/adalflow/components/retriever/qdrant_retriever.py index 6ecd2aa20..a6f2f3be0 100644 --- a/adalflow/adalflow/components/retriever/qdrant_retriever.py +++ b/adalflow/adalflow/components/retriever/qdrant_retriever.py @@ -1,13 +1,28 @@ """Leverage a Qdrant collection to retrieve documents.""" from typing import List, Optional, Any -from qdrant_client import QdrantClient, models +from adalflow.utils.lazy_import import safe_import, OptionalPackages -from adalflow.core.retriever import ( - Retriever, +qdrant_module = safe_import( + OptionalPackages.QDRANT.value[0], OptionalPackages.QDRANT.value[1] ) -from adalflow.core.embedder import Embedder +print(f"QDRANT MODULE: {qdrant_module}") + +QdrantClient = qdrant_module.QdrantClient + +# Newer versions of qdrant have models lives under http.models +try: + models = qdrant_module.models +except AttributeError: + try: + models = qdrant_module.http.models # Newer versions use this + except AttributeError: + raise ImportError( + "Cannot find `models` in `qdrant_client`. Update your import path." + ) +from adalflow.core.retriever import Retriever +from adalflow.core.embedder import Embedder from adalflow.core.types import ( RetrieverOutput, RetrieverStrQueryType, diff --git a/adalflow/adalflow/core/component.py b/adalflow/adalflow/core/component.py index fddfcfa26..f2c579542 100644 --- a/adalflow/adalflow/core/component.py +++ b/adalflow/adalflow/core/component.py @@ -1,5 +1,6 @@ """Base building block for building LLM task pipelines. -It handles states recursively, such as training, components, parameters recursively along with serialization and deserialization.""" +It handles states recursively, such as training, components, parameters recursively along with serialization and deserialization. +""" from collections import OrderedDict, namedtuple from typing import ( diff --git a/adalflow/adalflow/core/string_parser.py b/adalflow/adalflow/core/string_parser.py index c3cb44b61..570b76895 100644 --- a/adalflow/adalflow/core/string_parser.py +++ b/adalflow/adalflow/core/string_parser.py @@ -1,6 +1,7 @@ """Extract and convert common string to Python objects. -From simple data types like boolean, integer, and float to more complex data types like JSON, YAML, and list strings.""" +From simple data types like boolean, integer, and float to more complex data types like JSON, YAML, and list strings. +""" from typing import Dict, List, Union import logging diff --git a/adalflow/adalflow/eval/g_eval.py b/adalflow/adalflow/eval/g_eval.py index 5bdda2194..5aa4c0a31 100644 --- a/adalflow/adalflow/eval/g_eval.py +++ b/adalflow/adalflow/eval/g_eval.py @@ -1,5 +1,6 @@ """Implementation of G-Eval: G-eval -Instead of getting 1/5 as the score, AdalFlow will use 0.2 as the score, so that we can have a score in range [0, 1] for all metrics.""" +Instead of getting 1/5 as the score, AdalFlow will use 0.2 as the score, so that we can have a score in range [0, 1] for all metrics. +""" from enum import Enum from typing import Dict, Any, Optional, List, Tuple diff --git a/adalflow/adalflow/utils/lazy_import.py b/adalflow/adalflow/utils/lazy_import.py index df1e14ab7..3cb61fc19 100644 --- a/adalflow/adalflow/utils/lazy_import.py +++ b/adalflow/adalflow/utils/lazy_import.py @@ -97,7 +97,7 @@ class OptionalPackages(Enum): "Please install datasets with: pip install datasets", ) QDRANT = ( - "qdrant-client", + "qdrant_client", "Please install qdrant-client with: pip install qdrant-client", ) diff --git a/adalflow/poetry.lock b/adalflow/poetry.lock index 090de8cc3..a19ea07af 100644 --- a/adalflow/poetry.lock +++ b/adalflow/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. 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:: Software Development :: Build Tools", @@ -31,21 +29,22 @@ packages = [{ include = "adalflow", from = "." }] [tool.poetry.dependencies] python = ">=3.9, <4.0" - python-dotenv = "^1.0.1" backoff = "^2.2.1" jinja2 = "^3.1.3" jsonlines = "^4.0.0" tiktoken = ">=0.3.3" -numpy = "*" +numpy = [ + { version = "<2.1.0", markers = "python_version < '3.10'" }, + { version = "*", markers = "python_version >= '3.10'" } +] tqdm = "^4.66.4" PyYAML = ">=6.0.1" nest-asyncio = "^1.6.0" colorama = "^0.4.6" diskcache = "^5.6.3" - -# Optional dependencies +# Optional dependencies for the library: openai = { version = ">=1.12.0", optional = true } groq = { version = ">=0.9.0", optional = true } faiss-cpu = { version = ">=1.8.0", optional = true } @@ -57,41 +56,28 @@ google-generativeai = { version = ">=0.7.2", optional = true } cohere = { version = ">=5.5.8", optional = true } ollama = { version = ">=0.2.1", optional = true } lancedb = { version = ">=0.5.2", optional = true } -# Azure dependencies - azure-core = { version = ">=1.24.0", optional = true } azure-identity = { version = ">=1.12.0", optional = true } -# amazon bedrock together = { version = ">=1.3.14", optional = true } - boto3 = { version = "^1.35.19", optional = true } [tool.poetry.group.test.dependencies] pytest = "^8.3.4" pytest-mock = "^3.14.0" -torch = "^2.3.1" -ollama = "^0.2.1" -faiss-cpu = "^1.8.0" -openai = "^1.12.0" -groq = "^0.9.0" -google-generativeai = "^0.7.2" -anthropic = "^0.31.1" -lancedb = "^0.5.2" -boto3 = "^1.35.19" pydantic = ">=2.10.0,<2.11.0" - - -# TODO: cant make qdrant work here -# qdrant_client = [ -# { version = ">=1.12.2,<2.0.0", optional = true, markers = "python_version >= '3.10'" }, -# { version = ">=1.8.0,<1.12.2", optional = true, markers = "python_version < '3.10'" }, -# ] botocore = "^1.36.8" +# Note: I removed openai, groq, faiss-cpu, torch, etc. from here +# because they already exist as optional deps above. If you need them +# in test automatically, you'll install them with `poetry install --with test,`. + +[tool.poetry.group.qdrant.dependencies] +# Group dependencies are inherently optional, so `optional = true` isn't strictly needed +qdrant-client = { version = ">=1.12.2,<2.0.0", markers = "python_version >= '3.10'" } [tool.poetry.group.typing.dependencies] mypy = "^1" -types-pyyaml = "^6.0.12.20240311" # for mypy +types-pyyaml = "^6.0.12.20240311" types-tqdm = "^4.66.0.20240417" [tool.poetry.group.dev.dependencies] @@ -104,13 +90,11 @@ azure-identity = "^1.18.0" azure-core = "^1.31.0" pyvis = "^0.3.2" - [tool.poetry.group.extra.dependencies] datasets = "^2.21.0" -[tool.poetry.extras] # allow pip install adalflow[openai, groq] - -# model providers +[tool.poetry.extras] +# Extras for pip install e.g. `pip install adalflow[openai, groq]` openai = ["openai"] groq = ["groq"] anthropic = ["anthropic"] @@ -119,45 +103,29 @@ google-generativeai = ["google-generativeai"] ollama = ["ollama"] azure = [ "azure-core", - "azure-identity", - # "azure-ai-formrecognizer", - # "azure-ai-textanalytics", # will reevaluate the need for these two + "azure-identity" ] - bedrock = ["boto3"] - together = ["together"] - -# vector dbs +mistralai = ["mistralai"] +fireworks-ai = ["fireworks-ai"] lancedb = ["lancedb"] pgvector = ["pgvector"] -# qdrant = ["qdrant-client"] - +# Removed "qdrant" extra to avoid confusion, now part of the qdrant group datasets = ["datasets"] - -# similarity search local faiss-cpu = ["faiss-cpu"] torch = ["torch"] - -# data modeling sqlalchemy = ["sqlalchemy"] - [[tool.poetry.source]] name = "nvidia-pypi" priority = "supplemental" url = "https://pypi.nvidia.com" -# [[tool.poetry.source]] -# name = "nvidia-pypi" -# priority = "supplemental" -# url = "https://pypi.nvidia.com" - [build-system] requires = ["poetry-core"] build-backend = "poetry.core.masonry.api" -# for formatting and linting [tool.black] line-length = 88 target-version = ["py311"] @@ -167,5 +135,5 @@ exclude = ["images"] lint.extend-ignore = [ "E402", # Ignore module-level import issues "E731", - "UP007", # Wants | over Union, which breaks 3.8 + "UP007" # Disable warning for Union types formatting in Python 3.8 ] diff --git a/adalflow/tests/test_qdrant_retriever.py b/adalflow/tests/test_qdrant_retriever.py index c7a564d72..4e2d4542d 100644 --- a/adalflow/tests/test_qdrant_retriever.py +++ b/adalflow/tests/test_qdrant_retriever.py @@ -1,12 +1,10 @@ import pytest from unittest.mock import MagicMock from adalflow.components.retriever import QdrantRetriever -from adalflow.core.types import ( - RetrieverOutput, - Document, -) +from adalflow.core.types import RetrieverOutput, Document from adalflow.core.embedder import Embedder +# Use pytest.importorskip to ensure qdrant_client is installed. qdrant_client = pytest.importorskip( "qdrant_client", reason="qdrant_client not installed" ) @@ -16,80 +14,120 @@ @pytest.fixture def mock_qdrant_client(): + # Create a MagicMock based on the QdrantClient spec. return MagicMock(spec=qdrant_client.QdrantClient) @pytest.fixture def qdrant_retriever(mock_qdrant_client): + """ + Fixture to create a QdrantRetriever with a mock embedder. + The embedder is set up to return a dummy embedding result with one embedding. + """ + mock_embedder = MagicMock(spec=Embedder) + dummy_embedding = MagicMock() + # Default dummy result: one embedding entry. + dummy_embedding.data = [MagicMock(embedding=[0.1, 0.2, 0.3])] + mock_embedder.return_value = dummy_embedding + return QdrantRetriever( collection_name=COLLECTION_NAME, client=mock_qdrant_client, - embedder=MagicMock(spec=Embedder), + embedder=mock_embedder, top_k=5, ) def test_reset_index(qdrant_retriever, mock_qdrant_client): + """ + Test that reset_index() calls delete_collection when the collection exists. + """ mock_qdrant_client.collection_exists.return_value = True qdrant_retriever.reset_index() mock_qdrant_client.delete_collection.assert_called_once_with(COLLECTION_NAME) def test_call_single_query(qdrant_retriever, mock_qdrant_client): + """ + Test that call() correctly processes a single query. + Verifies that: + - The embedder is called with a list containing the query. + - The output is parsed correctly from the mock query response. + """ query = "test query" + # Set up the embedder to return a dummy embedding result with one item. + dummy_embedding = MagicMock() + dummy_embedding.data = [MagicMock(embedding=[0.1, 0.2, 0.3])] + qdrant_retriever._embedder.return_value = dummy_embedding + + # Create a mock scored point. mock_point = MagicMock() mock_point.id = 1 mock_point.score = 0.9 mock_point.payload = {"text": "retrieved text", "meta_data": {"key": "value"}} mock_point.vector = [0.1, 0.2, 0.3] + # Prepare a mock query response with a single point. mock_query_response = MagicMock() mock_query_response.points = [mock_point] + # Configure the client's query_batch_points to return one response. mock_qdrant_client.query_batch_points.return_value = [mock_query_response] + # Call the retriever with a single query. result = qdrant_retriever.call(query) + # Verify that the embedder was called exactly once with [query]. + assert qdrant_retriever._embedder.call_count == 1 + call_args, _ = qdrant_retriever._embedder.call_args + assert call_args == ([query],) + + # Verify the returned result. assert isinstance(result, list) assert len(result) == 1 - assert isinstance(result[0], RetrieverOutput) - assert result[0].query == query - assert len(result[0].doc_indices) == 1 - assert result[0].doc_indices[0] == 1 - assert len(result[0].doc_scores) == 1 - assert result[0].doc_scores[0] == 0.9 - assert len(result[0].documents) == 1 - assert isinstance(result[0].documents[0], Document) - assert result[0].documents[0].text == "retrieved text" - assert result[0].documents[0].meta_data == {"key": "value"} + output = result[0] + assert isinstance(output, RetrieverOutput) + assert output.query == query + assert output.doc_indices == [1] + assert output.doc_scores == [0.9] + assert len(output.documents) == 1 + assert isinstance(output.documents[0], Document) + assert output.documents[0].text == "retrieved text" + assert output.documents[0].meta_data == {"key": "value"} def test_get_first_vector_name(qdrant_retriever, mock_qdrant_client): - # Check single unnamed vector - mock_qdrant_client.get_collection.return_value = MagicMock( - config=MagicMock( - params=MagicMock( - vectors=qdrant_client.models.VectorParams( - size=1, distance=qdrant_client.models.Distance.COSINE - ) - ) - ) - ) + """ + Test _get_first_vector_name() for: + 1. A collection with a non-dict (default, unnamed vector). + 2. A collection with a dict of named vectors. + """ + # Scenario 1: Default, unnamed vector (non-dict) + mock_collection = MagicMock() + mock_collection.config.params.vectors = 42 # not a dict + mock_qdrant_client.get_collection.return_value = mock_collection + vector_name = qdrant_retriever._get_first_vector_name() assert vector_name is None - mock_qdrant_client.get_collection.return_value = MagicMock( - config=MagicMock( - params=MagicMock(vectors={"vector1": "details", "vector2": "details"}) - ) - ) + # Scenario 2: Multiple named vectors. + named_vectors = {"vector1": "details", "vector2": "details"} + mock_collection.config.params.vectors = named_vectors + mock_qdrant_client.get_collection.return_value = mock_collection + vector_name = qdrant_retriever._get_first_vector_name() - assert vector_name == "vector1" + # Expect the first key. + expected = list(named_vectors.keys())[0] + assert vector_name == expected def test_points_to_output(): - # Prepare mocked ScoredPoint + """ + Test _points_to_output() to ensure it correctly converts scored points + into a RetrieverOutput. + """ + # Create a dummy scored point. mock_point = MagicMock() mock_point.id = 1 mock_point.score = 0.9 @@ -111,13 +149,17 @@ def test_points_to_output(): assert result.doc_indices == [1] assert result.doc_scores == [0.9] assert len(result.documents) == 1 - assert isinstance(result.documents[0], Document) - assert result.documents[0].text == "sample text" - assert result.documents[0].meta_data == {"key": "value"} - assert result.documents[0].vector == [0.1, 0.2, 0.3] + doc = result.documents[0] + assert isinstance(doc, Document) + assert doc.text == "sample text" + assert doc.meta_data == {"key": "value"} + assert doc.vector == [0.1, 0.2, 0.3] def test_doc_from_point(): + """ + Test _doc_from_point() without a vector name. + """ mock_point = MagicMock() mock_point.id = 1 mock_point.payload = {"content": "sample text", "some_meta": {"key": "value"}} @@ -139,6 +181,9 @@ def test_doc_from_point(): def test_doc_from_point_with_vector_name(): + """ + Test _doc_from_point() when the vector is a dict and a vector name is provided. + """ mock_point = MagicMock() mock_point.id = 1 mock_point.payload = {"text": "sample text", "meta_data": {"key": "value"}} @@ -160,27 +205,50 @@ def test_doc_from_point_with_vector_name(): def test_call_with_custom_limit(qdrant_retriever, mock_qdrant_client): + """ + Test that call() correctly handles a list of queries and uses the custom top_k limit. + """ query = "test query" custom_limit = 5 + queries = [query, query, query] + + # Prepare dummy embeddings for each query. + dummy_embeddings = [MagicMock(embedding=[0.1, 0.2, 0.3]) for _ in queries] + dummy_embedding_result = MagicMock() + dummy_embedding_result.data = dummy_embeddings + qdrant_retriever._embedder.return_value = dummy_embedding_result + # Create a mock scored point. mock_point = MagicMock() mock_point.id = 1 mock_point.score = 0.9 mock_point.payload = {"text": "retrieved text", "meta_data": {"key": "value"}} mock_point.vector = [0.1, 0.2, 0.3] - mock_query_response = MagicMock(spec=qdrant_client.models.QueryResponse) + # Create a mock query response. + # Note: we use spec from qdrant_client.http.models.QueryResponse if available. + mock_query_response = MagicMock( + spec=getattr(qdrant_client.http.models, "QueryResponse", None) + ) mock_query_response.points = [mock_point] + # Set the query_batch_points return value. mock_qdrant_client.query_batch_points.return_value = [mock_query_response] - qdrant_retriever.call([query, query, query], top_k=custom_limit) + # Call the retriever with multiple queries. + result = qdrant_retriever.call(queries, top_k=custom_limit) + # Verify query_batch_points was called once with the correct collection name. mock_qdrant_client.query_batch_points.assert_called_once() + args, kwargs = mock_qdrant_client.query_batch_points.call_args + assert args[0] == COLLECTION_NAME - collection_name = mock_qdrant_client.query_batch_points.call_args[0] - assert collection_name == (COLLECTION_NAME,) - - requests = mock_qdrant_client.query_batch_points.call_args[1]["requests"] + # Verify that the number of query requests equals the number of input queries. + requests = kwargs.get("requests") + assert requests is not None + assert len(requests) == len(queries) for request in requests: assert request.limit == custom_limit + + # Optionally, ensure the output is a list. + assert isinstance(result, list) diff --git a/poetry.lock b/poetry.lock index 6a9381040..bd4a2cdd0 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. [[package]] name = "absl-py" @@ -1996,6 +1996,17 @@ files = [ {file = "idna-3.7.tar.gz", hash = "sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc"}, ] +[[package]] +name = "iniconfig" +version = "2.0.0" +description = "brain-dead simple config-ini parsing" +optional = false +python-versions = ">=3.7" +files = [ + {file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"}, + {file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"}, +] + [[package]] name = "ipykernel" version = "6.29.5" @@ -4007,6 +4018,21 @@ docs = ["furo (>=2023.9.10)", "proselint (>=0.13)", "sphinx (>=7.2.6)", "sphinx- test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)"] type = ["mypy (>=1.8)"] +[[package]] +name = "pluggy" +version = "1.5.0" +description = "plugin and hook calling mechanisms for python" +optional = false +python-versions = ">=3.8" +files = [ + {file = "pluggy-1.5.0-py3-none-any.whl", hash = "sha256:44e1ad92c8ca002de6377e165f3e0f1be63266ab4d554740532335b9d75ea669"}, + {file = "pluggy-1.5.0.tar.gz", hash = "sha256:2cffa88e94fdc978c4c574f15f9e59b7f4201d439195c3715ca9e2486f1d0cf1"}, +] + +[package.extras] +dev = ["pre-commit", "tox"] +testing = ["pytest", "pytest-benchmark"] + [[package]] name = "pre-commit" version = "3.8.0" @@ -4434,6 +4460,26 @@ files = [ {file = "PySocks-1.7.1.tar.gz", hash = "sha256:3f8804571ebe159c380ac6de37643bb4685970655d3bba243530d6558b799aa0"}, ] +[[package]] +name = "pytest" +version = "8.3.4" +description = "pytest: simple powerful testing with Python" +optional = false +python-versions = ">=3.8" +files = [ + {file = "pytest-8.3.4-py3-none-any.whl", hash = "sha256:50e16d954148559c9a74109af1eaf0c945ba2d8f30f0a3d3335edde19788b6f6"}, + {file = "pytest-8.3.4.tar.gz", hash = "sha256:965370d062bce11e73868e0335abac31b4d3de0e82f4007408d242b4f8610761"}, +] + +[package.dependencies] +colorama = {version = "*", markers = "sys_platform == \"win32\""} +iniconfig = "*" +packaging = "*" +pluggy = ">=1.5,<2" + +[package.extras] +dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"] + [[package]] name = "python-dateutil" version = "2.9.0.post0" @@ -6027,11 +6073,6 @@ files = [ {file = "triton-3.0.0-1-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:34e509deb77f1c067d8640725ef00c5cbfcb2052a1a3cb6a6d343841f92624eb"}, {file = "triton-3.0.0-1-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:bcbf3b1c48af6a28011a5c40a5b3b9b5330530c3827716b5fbf6d7adcc1e53e9"}, {file = "triton-3.0.0-1-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:6e5727202f7078c56f91ff13ad0c1abab14a0e7f2c87e91b12b6f64f3e8ae609"}, - 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If you need them From a447504b27c7d27470a1faa497eaf0eb3712d423 Mon Sep 17 00:00:00 2001 From: Nicholas Fleischhauer Date: Thu, 6 Feb 2025 16:22:38 -0800 Subject: [PATCH 3/3] fix lockfile and remove comment from .toml --- adalflow/poetry.lock | 404 ++++++++++++++++++++++------------------ adalflow/pyproject.toml | 4 - 2 files changed, 223 insertions(+), 185 deletions(-) diff --git a/adalflow/poetry.lock b/adalflow/poetry.lock index a19ea07af..a722931e6 100644 --- a/adalflow/poetry.lock +++ b/adalflow/poetry.lock @@ -152,13 +152,13 @@ files = [ [[package]] name = "anthropic" -version = "0.45.2" +version = "0.31.2" description = "The official Python library for the anthropic API" -optional = true -python-versions = ">=3.8" +optional = false +python-versions = ">=3.7" files = [ - {file = "anthropic-0.45.2-py3-none-any.whl", hash = "sha256:ecd746f7274451dfcb7e1180571ead624c7e1195d1d46cb7c70143d2aedb4d35"}, - {file = "anthropic-0.45.2.tar.gz", hash = "sha256:32a18b9ecd12c91b2be4cae6ca2ab46a06937b5aa01b21308d97a6d29794fb5e"}, + {file = "anthropic-0.31.2-py3-none-any.whl", hash = "sha256:28d176b98c72615bfae30f0a9eee6297cc33bf52535d38156fc2805556e2f09b"}, + {file = "anthropic-0.31.2.tar.gz", hash = "sha256:0134b73df8d1f142fc68675fbadb75e920054e9e3437b99df63f10f0fc6ac26f"}, ] [package.dependencies] @@ -168,7 +168,8 @@ httpx = ">=0.23.0,<1" jiter = ">=0.4.0,<1" pydantic = ">=1.9.0,<3" sniffio = "*" -typing-extensions = ">=4.10,<5" +tokenizers = ">=0.13.0" +typing-extensions = ">=4.7,<5" [package.extras] bedrock = ["boto3 (>=1.28.57)", "botocore (>=1.31.57)"] @@ -293,7 +294,7 @@ files = [ name = "boto3" version = "1.36.15" description = "The AWS SDK for Python" -optional = true +optional = false python-versions = ">=3.8" files = [ {file = "boto3-1.36.15-py3-none-any.whl", hash = "sha256:b218092b08ce15fe29b2358345f4ccb812a2377a5e9bccd49e391a5976a24202"}, @@ -334,7 +335,7 @@ crt = ["awscrt (==0.23.8)"] name = "cachetools" version = "5.5.1" description = "Extensible memoizing collections and decorators" -optional = true +optional = false python-versions = ">=3.7" files = [ {file = "cachetools-5.5.1-py3-none-any.whl", hash = "sha256:b76651fdc3b24ead3c648bbdeeb940c1b04d365b38b4af66788f9ec4a81d42bb"}, @@ -547,7 +548,7 @@ files = [ name = "click" version = "8.1.8" description = "Composable command line interface toolkit" -optional = true +optional = false python-versions = ">=3.7" files = [ {file = "click-8.1.8-py3-none-any.whl", hash = "sha256:63c132bbbed01578a06712a2d1f497bb62d9c1c0d329b7903a866228027263b2"}, @@ -797,7 +798,7 @@ files = [ name = "deprecation" version = "2.1.0" description = "A library to handle automated deprecations" -optional = true +optional = false python-versions = "*" files = [ {file = "deprecation-2.1.0-py2.py3-none-any.whl", hash = "sha256:a10811591210e1fb0e768a8c25517cabeabcba6f0bf96564f8ff45189f90b14a"}, @@ -848,7 +849,7 @@ files = [ name = "distro" version = "1.9.0" description = "Distro - an OS platform information API" -optional = true +optional = false python-versions = ">=3.6" files = [ {file = "distro-1.9.0-py3-none-any.whl", hash = "sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2"}, @@ -901,7 +902,7 @@ tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipyth name = "faiss-cpu" version = "1.10.0" description = "A library for efficient similarity search and clustering of dense vectors." -optional = true +optional = false python-versions = ">=3.9" files = [ {file = "faiss_cpu-1.10.0-cp310-cp310-macosx_10_14_x86_64.whl", hash = "sha256:6693474be296a7142ade1051ea18e7d85cedbfdee4b7eac9c52f83fed0467855"}, @@ -1216,29 +1217,26 @@ tqdm = ["tqdm"] [[package]] name = "google-ai-generativelanguage" -version = "0.6.15" +version = "0.6.6" description = "Google Ai Generativelanguage API client library" -optional = true +optional = false python-versions = ">=3.7" files = [ - {file = "google_ai_generativelanguage-0.6.15-py3-none-any.whl", 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"pillow", "polars[pandas,pyarrow]", "pytest", "tensorflow", "tqdm"] torch = ["torch"] [[package]] @@ -4022,6 +4024,20 @@ urllib3 = ">=1.26.14,<3" fastembed = ["fastembed (==0.5.1)"] fastembed-gpu = ["fastembed-gpu (==0.5.1)"] +[[package]] +name = "ratelimiter" +version = "1.2.0.post0" +description = "Simple python rate limiting object" +optional = false +python-versions = "*" +files = [ + {file = "ratelimiter-1.2.0.post0-py3-none-any.whl", hash = "sha256:a52be07bc0bb0b3674b4b304550f10c769bbb00fead3072e035904474259809f"}, + {file = "ratelimiter-1.2.0.post0.tar.gz", hash = "sha256:5c395dcabdbbde2e5178ef3f89b568a3066454a6ddc223b76473dac22f89b4f7"}, +] + +[package.extras] +test = ["pytest (>=3.0)", "pytest-asyncio"] + [[package]] name = "regex" version = "2024.11.6" @@ -4146,6 +4162,21 @@ urllib3 = ">=1.21.1,<3" socks = ["PySocks (>=1.5.6,!=1.5.7)"] use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"] +[[package]] +name = "retry" +version = "0.9.2" +description = "Easy to use retry decorator." +optional = false +python-versions = "*" +files = [ + {file = "retry-0.9.2-py2.py3-none-any.whl", hash = "sha256:ccddf89761fa2c726ab29391837d4327f819ea14d244c232a1d24c67a2f98606"}, + {file = "retry-0.9.2.tar.gz", hash = "sha256:f8bfa8b99b69c4506d6f5bd3b0aabf77f98cdb17f3c9fc3f5ca820033336fba4"}, +] + +[package.dependencies] +decorator = ">=3.4.2" +py = ">=1.4.26,<2.0.0" + [[package]] name = "rich" version = "13.9.4" @@ -4169,7 +4200,7 @@ jupyter = ["ipywidgets (>=7.5.1,<9)"] name = "rsa" version = "4.9" description = "Pure-Python RSA implementation" -optional = true +optional = false python-versions = ">=3.6,<4" files = [ {file = "rsa-4.9-py3-none-any.whl", hash = "sha256:90260d9058e514786967344d0ef75fa8727eed8a7d2e43ce9f4bcf1b536174f7"}, @@ -4183,7 +4214,7 @@ pyasn1 = ">=0.1.3" name = "s3transfer" version = "0.11.2" description = "An Amazon S3 Transfer Manager" -optional = true +optional = false python-versions = ">=3.8" files = [ {file = "s3transfer-0.11.2-py3-none-any.whl", hash = "sha256:be6ecb39fadd986ef1701097771f87e4d2f821f27f6071c872143884d2950fbc"}, @@ -4196,6 +4227,17 @@ botocore = ">=1.36.0,<2.0a.0" [package.extras] crt = ["botocore[crt] (>=1.36.0,<2.0a.0)"] +[[package]] +name = "semver" +version = "3.0.4" +description = "Python helper for Semantic Versioning (https://semver.org)" +optional = false +python-versions = ">=3.7" +files = [ + {file = "semver-3.0.4-py3-none-any.whl", hash = "sha256:9c824d87ba7f7ab4a1890799cec8596f15c1241cb473404ea1cb0c55e4b04746"}, + {file = "semver-3.0.4.tar.gz", hash = "sha256:afc7d8c584a5ed0a11033af086e8af226a9c0b206f313e0301f8dd7b6b589602"}, +] + [[package]] name = "setuptools" version = "75.8.0" @@ -4339,7 +4381,7 @@ tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"] name = "sympy" version = "1.13.1" description = "Computer algebra system (CAS) in Python" -optional = true +optional = false python-versions = ">=3.8" files = [ {file = "sympy-1.13.1-py3-none-any.whl", hash = "sha256:db36cdc64bf61b9b24578b6f7bab1ecdd2452cf008f34faa33776680c26d66f8"}, @@ -4496,7 +4538,7 @@ typer = ">=0.9,<0.16" name = "tokenizers" version = "0.21.0" description = "" -optional = true +optional = false python-versions = ">=3.7" files = [ {file = "tokenizers-0.21.0-cp39-abi3-macosx_10_12_x86_64.whl", hash = "sha256:3c4c93eae637e7d2aaae3d376f06085164e1660f89304c0ab2b1d08a406636b2"}, @@ -4569,7 +4611,7 @@ files = [ name = "torch" version = "2.6.0" description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration" -optional = true +optional = false python-versions = ">=3.9.0" files = [ {file = "torch-2.6.0-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:6860df13d9911ac158f4c44031609700e1eba07916fff62e21e6ffa0a9e01961"}, @@ -4661,7 +4703,7 @@ test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0, name = "triton" version = "3.2.0" description = "A language and compiler for custom Deep Learning operations" -optional = true +optional = false python-versions = "*" files = [ {file = "triton-3.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b3e54983cd51875855da7c68ec05c05cf8bb08df361b1d5b69e05e40b0c9bd62"}, @@ -4783,7 +4825,7 @@ files = [ name = "uritemplate" version = "4.1.1" description = "Implementation of RFC 6570 URI Templates" -optional = true +optional = false python-versions = ">=3.6" files = [ {file = "uritemplate-4.1.1-py2.py3-none-any.whl", hash = "sha256:830c08b8d99bdd312ea4ead05994a38e8936266f84b9a7878232db50b044e02e"}, @@ -5140,4 +5182,4 @@ torch = ["torch"] [metadata] lock-version = "2.0" python-versions = ">=3.9, <4.0" -content-hash = "83b037eb841ce1bad2d051eeded48a230323cee7e63bcb7833d6f621d93c2108" +content-hash = "9dc935b256f1860cee3389c989a2119fdbaadb152431457ca45630fbed607af0" diff --git a/adalflow/pyproject.toml b/adalflow/pyproject.toml index 648cb946b..a7dc9cff6 100644 --- a/adalflow/pyproject.toml +++ b/adalflow/pyproject.toml @@ -75,10 +75,6 @@ lancedb = "^0.5.2" boto3 = "^1.35.19" pydantic = ">=2.10.0,<2.11.0" -# Note: I removed openai, groq, faiss-cpu, torch, etc. from here -# because they already exist as optional deps above. If you need them -# in test automatically, you'll install them with `poetry install --with test,`. - [tool.poetry.group.qdrant.dependencies] # Group dependencies are inherently optional, so `optional = true` isn't strictly needed qdrant-client = { version = ">=1.12.2,<2.0.0", markers = "python_version >= '3.10'" }