diff --git a/.github/workflows/scheduled_test.yml b/.github/workflows/scheduled_test.yml index 187272c7b37d9..e75d3e50a56e0 100644 --- a/.github/workflows/scheduled_test.yml +++ b/.github/workflows/scheduled_test.yml @@ -31,7 +31,6 @@ jobs: - "libs/partners/google-vertexai" - "libs/partners/google-genai" - "libs/partners/aws" - - "libs/partners/nvidia-ai-endpoints" steps: - uses: actions/checkout@v4 @@ -41,10 +40,6 @@ jobs: with: repository: langchain-ai/langchain-google path: langchain-google - - uses: actions/checkout@v4 - with: - repository: langchain-ai/langchain-nvidia - path: langchain-nvidia - uses: actions/checkout@v4 with: repository: langchain-ai/langchain-cohere @@ -59,11 +54,9 @@ jobs: rm -rf \ langchain/libs/partners/google-genai \ langchain/libs/partners/google-vertexai \ - langchain/libs/partners/nvidia-ai-endpoints \ langchain/libs/partners/cohere mv langchain-google/libs/genai langchain/libs/partners/google-genai mv langchain-google/libs/vertexai langchain/libs/partners/google-vertexai - mv langchain-nvidia/libs/ai-endpoints langchain/libs/partners/nvidia-ai-endpoints mv langchain-cohere/libs/cohere langchain/libs/partners/cohere mv langchain-aws/libs/aws langchain/libs/partners/aws @@ -123,7 +116,6 @@ jobs: rm -rf \ langchain/libs/partners/google-genai \ langchain/libs/partners/google-vertexai \ - langchain/libs/partners/nvidia-ai-endpoints \ langchain/libs/partners/cohere \ langchain/libs/partners/aws diff --git a/docs/docs/integrations/tools/python.ipynb b/docs/docs/integrations/tools/python.ipynb index a098a4420efed..75b51550a926f 100644 --- a/docs/docs/integrations/tools/python.ipynb +++ b/docs/docs/integrations/tools/python.ipynb @@ -9,7 +9,14 @@ "\n", "Sometimes, for complex calculations, rather than have an LLM generate the answer directly, it can be better to have the LLM generate code to calculate the answer, and then run that code to get the answer. In order to easily do that, we provide a simple Python REPL to execute commands in.\n", "\n", - "This interface will only return things that are printed - therefore, if you want to use it to calculate an answer, make sure to have it print out the answer." + "This interface will only return things that are printed - therefore, if you want to use it to calculate an answer, make sure to have it print out the answer.\n", + "\n", + "\n", + ":::{.callout-caution}\n", + "Python REPL can execute arbitrary code on the host machine (e.g., delete files, make network requests). Use with caution.\n", + "\n", + "For more information general security guidelines, please see https://python.langchain.com/v0.2/docs/security/.\n", + ":::" ] }, { @@ -95,7 +102,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.1" + "version": "3.11.4" } }, "nbformat": 4, diff --git a/docs/scripts/model_feat_table.py b/docs/scripts/model_feat_table.py index eb6f6b6e9bb51..66298d7a02e4e 100644 --- a/docs/scripts/model_feat_table.py +++ b/docs/scripts/model_feat_table.py @@ -98,6 +98,7 @@ }, "ChatOllama": { "local": True, + "json_mode": True, "package": "langchain-community", "link": "/docs/integrations/chat/ollama/", }, diff --git a/docs/src/theme/ChatModelTabs.js b/docs/src/theme/ChatModelTabs.js index 8424c6d1c5248..9ea91ad8511f7 100644 --- a/docs/src/theme/ChatModelTabs.js +++ b/docs/src/theme/ChatModelTabs.js @@ -10,6 +10,7 @@ import CodeBlock from "@theme-original/CodeBlock"; * @property {string} [anthropicParams] - Parameters for Anthropic chat model. Defaults to `model="claude-3-sonnet-20240229"` * @property {string} [cohereParams] - Parameters for Cohere chat model. Defaults to `model="command-r"` * @property {string} [fireworksParams] - Parameters for Fireworks chat model. Defaults to `model="accounts/fireworks/models/mixtral-8x7b-instruct"` + * @property {string} [groqParams] - Parameters for Groq chat model. Defaults to `model="llama3-8b-8192"` * @property {string} [mistralParams] - Parameters for Mistral chat model. Defaults to `model="mistral-large-latest"` * @property {string} [googleParams] - Parameters for Google chat model. Defaults to `model="gemini-pro"` * @property {string} [togetherParams] - Parameters for Together chat model. Defaults to `model="mistralai/Mixtral-8x7B-Instruct-v0.1"` @@ -17,6 +18,7 @@ import CodeBlock from "@theme-original/CodeBlock"; * @property {boolean} [hideAnthropic] - Whether or not to hide Anthropic chat model. * @property {boolean} [hideCohere] - Whether or not to hide Cohere chat model. * @property {boolean} [hideFireworks] - Whether or not to hide Fireworks chat model. + * @property {boolean} [hideGroq] - Whether or not to hide Groq chat model. * @property {boolean} [hideMistral] - Whether or not to hide Mistral chat model. * @property {boolean} [hideGoogle] - Whether or not to hide Google VertexAI chat model. * @property {boolean} [hideTogether] - Whether or not to hide Together chat model. @@ -33,6 +35,7 @@ export default function ChatModelTabs(props) { anthropicParams, cohereParams, fireworksParams, + groqParams, mistralParams, googleParams, togetherParams, @@ -41,6 +44,7 @@ export default function ChatModelTabs(props) { hideAnthropic, hideCohere, hideFireworks, + hideGroq, hideMistral, hideGoogle, hideTogether, @@ -55,6 +59,7 @@ export default function ChatModelTabs(props) { const fireworksParamsOrDefault = fireworksParams ?? `model="accounts/fireworks/models/mixtral-8x7b-instruct"`; + const groqParamsOrDefault = groqParams ?? `model="llama3-8b-8192"`; const mistralParamsOrDefault = mistralParams ?? `model="mistral-large-latest"`; const googleParamsOrDefault = googleParams ?? `model="gemini-pro"`; @@ -122,6 +127,15 @@ export default function ChatModelTabs(props) { default: false, shouldHide: hideFireworks, }, + { + value: "Groq", + label: "Groq", + text: `from langchain_groq import ChatGroq\n\n${llmVarName} = ChatGroq(${groqParamsOrDefault})`, + apiKeyName: "GROQ_API_KEY", + packageName: "langchain-groq", + default: false, + shouldHide: hideGroq, + }, { value: "MistralAI", label: "MistralAI", diff --git a/libs/cli/langchain_cli/constants.py b/libs/cli/langchain_cli/constants.py index 7eddb1ed72520..7a1f759392982 100644 --- a/libs/cli/langchain_cli/constants.py +++ b/libs/cli/langchain_cli/constants.py @@ -1,4 +1,3 @@ DEFAULT_GIT_REPO = "https://github.com/langchain-ai/langchain.git" -DEFAULT_GIT_REF = "langserve-templates" DEFAULT_GIT_SUBDIRECTORY = "templates" DEFAULT_GIT_REF = "master" diff --git a/libs/community/langchain_community/chat_models/huggingface.py b/libs/community/langchain_community/chat_models/huggingface.py index f03c0c7522811..68aaabaddd559 100644 --- a/libs/community/langchain_community/chat_models/huggingface.py +++ b/libs/community/langchain_community/chat_models/huggingface.py @@ -39,7 +39,7 @@ @deprecated( since="0.0.37", removal="0.3", - alternative_import=("from langchain_huggingface import ChatHuggingFace"), + alternative_import="langchain_huggingface.ChatHuggingFace", ) class ChatHuggingFace(BaseChatModel): """ diff --git a/libs/community/langchain_community/document_loaders/confluence.py b/libs/community/langchain_community/document_loaders/confluence.py index 8a70758dd6771..f69d67f2e2b0c 100644 --- a/libs/community/langchain_community/document_loaders/confluence.py +++ b/libs/community/langchain_community/document_loaders/confluence.py @@ -42,7 +42,7 @@ class ConfluenceLoader(BaseLoader): You can also specify a boolean `include_attachments` to include attachments, this is set to False by default, if set to True all attachments will be downloaded and - ConfluenceReader will extract the text from the attachments and add it to the + ConfluenceLoader will extract the text from the attachments and add it to the Document object. Currently supported attachment types are: PDF, PNG, JPEG/JPG, SVG, Word and Excel. diff --git a/libs/community/langchain_community/document_loaders/sitemap.py b/libs/community/langchain_community/document_loaders/sitemap.py index 77da27ec1723b..757a3b182c193 100644 --- a/libs/community/langchain_community/document_loaders/sitemap.py +++ b/libs/community/langchain_community/document_loaders/sitemap.py @@ -1,6 +1,16 @@ import itertools import re -from typing import Any, Callable, Generator, Iterable, Iterator, List, Optional, Tuple +from typing import ( + Any, + Callable, + Dict, + Generator, + Iterable, + Iterator, + List, + Optional, + Tuple, +) from urllib.parse import urlparse from langchain_core.documents import Document @@ -75,6 +85,7 @@ def __init__( is_local: bool = False, continue_on_failure: bool = False, restrict_to_same_domain: bool = True, + max_depth: int = 10, **kwargs: Any, ): """Initialize with webpage path and optional filter URLs. @@ -105,6 +116,7 @@ def __init__( restrict_to_same_domain: whether to restrict loading to URLs to the same domain as the sitemap. Attention: This is only applied if the sitemap is not a local file! + max_depth: maximum depth to follow sitemap links. Default: 10 """ if blocksize is not None and blocksize < 1: @@ -134,17 +146,23 @@ def __init__( self.blocknum = blocknum self.is_local = is_local self.continue_on_failure = continue_on_failure + self.max_depth = max_depth - def parse_sitemap(self, soup: Any) -> List[dict]: + def parse_sitemap(self, soup: Any, *, depth: int = 0) -> List[dict]: """Parse sitemap xml and load into a list of dicts. Args: soup: BeautifulSoup object. + depth: current depth of the sitemap. Default: 0 Returns: List of dicts. """ - els = [] + if depth >= self.max_depth: + return [] + + els: List[Dict] = [] + for url in soup.find_all("url"): loc = url.find("loc") if not loc: @@ -177,9 +195,9 @@ def parse_sitemap(self, soup: Any) -> List[dict]: loc = sitemap.find("loc") if not loc: continue - soup_child = self.scrape_all([loc.text], "xml")[0] - els.extend(self.parse_sitemap(soup_child)) + soup_child = self.scrape_all([loc.text], "xml")[0] + els.extend(self.parse_sitemap(soup_child, depth=depth + 1)) return els def lazy_load(self) -> Iterator[Document]: diff --git a/libs/community/langchain_community/document_transformers/long_context_reorder.py b/libs/community/langchain_community/document_transformers/long_context_reorder.py index a047c2d143553..b4808c7a7c42e 100644 --- a/libs/community/langchain_community/document_transformers/long_context_reorder.py +++ b/libs/community/langchain_community/document_transformers/long_context_reorder.py @@ -42,4 +42,4 @@ def transform_documents( async def atransform_documents( self, documents: Sequence[Document], **kwargs: Any ) -> Sequence[Document]: - raise NotImplementedError + return _litm_reordering(list(documents)) diff --git a/libs/community/langchain_community/llms/ollama.py b/libs/community/langchain_community/llms/ollama.py index 4a81871efb268..43e4fbd511c5a 100644 --- a/libs/community/langchain_community/llms/ollama.py +++ b/libs/community/langchain_community/llms/ollama.py @@ -112,15 +112,16 @@ class _OllamaCommon(BaseLanguageModel): """Timeout for the request stream""" keep_alive: Optional[Union[int, str]] = None - """How long the model will stay loaded into memory. + """How long the model will stay loaded into memory.""" + raw: Optional[bool] = None + """raw or not."" The parameter (Default: 5 minutes) can be set to: 1. a duration string in Golang (such as "10m" or "24h"); 2. a number in seconds (such as 3600); 3. any negative number which will keep the model loaded \ in memory (e.g. -1 or "-1m"); 4. 0 which will unload the model immediately after generating a response; - See the [Ollama documents](https://github.com/ollama/ollama/blob/main/docs/faq.md#how-do-i-keep-a-model-loaded-in-memory-or-make-it-unload-immediately)""" headers: Optional[dict] = None @@ -154,6 +155,7 @@ def _default_params(self) -> Dict[str, Any]: "system": self.system, "template": self.template, "keep_alive": self.keep_alive, + "raw": self.raw, } @property @@ -227,7 +229,6 @@ def _create_stream( "images": payload.get("images", []), **params, } - response = requests.post( url=api_url, headers={ @@ -369,12 +370,9 @@ async def _astream_with_aggregation( class Ollama(BaseLLM, _OllamaCommon): """Ollama locally runs large language models. - To use, follow the instructions at https://ollama.ai/. - Example: .. code-block:: python - from langchain_community.llms import Ollama ollama = Ollama(model="llama2") """ @@ -398,17 +396,13 @@ def _generate( # type: ignore[override] **kwargs: Any, ) -> LLMResult: """Call out to Ollama's generate endpoint. - Args: prompt: The prompt to pass into the model. stop: Optional list of stop words to use when generating. - Returns: The string generated by the model. - Example: .. code-block:: python - response = ollama("Tell me a joke.") """ # TODO: add caching here. @@ -434,17 +428,13 @@ async def _agenerate( # type: ignore[override] **kwargs: Any, ) -> LLMResult: """Call out to Ollama's generate endpoint. - Args: prompt: The prompt to pass into the model. stop: Optional list of stop words to use when generating. - Returns: The string generated by the model. - Example: .. code-block:: python - response = ollama("Tell me a joke.") """ # TODO: add caching here. diff --git a/libs/community/langchain_community/utilities/__init__.py b/libs/community/langchain_community/utilities/__init__.py index 3a5184e7c0310..dd9565ec05f21 100644 --- a/libs/community/langchain_community/utilities/__init__.py +++ b/libs/community/langchain_community/utilities/__init__.py @@ -122,9 +122,6 @@ from langchain_community.utilities.pubmed import ( PubMedAPIWrapper, ) - from langchain_community.utilities.python import ( - PythonREPL, - ) from langchain_community.utilities.rememberizer import RememberizerAPIWrapper from langchain_community.utilities.requests import ( Requests, @@ -215,7 +212,6 @@ "Portkey", "PowerBIDataset", "PubMedAPIWrapper", - "PythonREPL", "RememberizerAPIWrapper", "Requests", "RequestsWrapper", @@ -279,7 +275,6 @@ "Portkey": "langchain_community.utilities.portkey", "PowerBIDataset": "langchain_community.utilities.powerbi", "PubMedAPIWrapper": "langchain_community.utilities.pubmed", - "PythonREPL": "langchain_community.utilities.python", "RememberizerAPIWrapper": "langchain_community.utilities.rememberizer", "Requests": "langchain_community.utilities.requests", "RequestsWrapper": "langchain_community.utilities.requests", @@ -302,8 +297,21 @@ "ZapierNLAWrapper": "langchain_community.utilities.zapier", } +REMOVED = { + "PythonREPL": ( + "PythonREPL has been deprecated from langchain_community " + "due to being flagged by security scanners. See: " + "https://github.com/langchain-ai/langchain/issues/14345 " + "If you need to use it, please use the version " + "from langchain_experimental. " + "from langchain_experimental.utilities.python import PythonREPL." + ) +} + def __getattr__(name: str) -> Any: + if name in REMOVED: + raise AssertionError(REMOVED[name]) if name in _module_lookup: module = importlib.import_module(_module_lookup[name]) return getattr(module, name) diff --git a/libs/community/langchain_community/utilities/python.py b/libs/community/langchain_community/utilities/python.py index 70c3119e5f6a1..06c2016207a70 100644 --- a/libs/community/langchain_community/utilities/python.py +++ b/libs/community/langchain_community/utilities/python.py @@ -1,71 +1,17 @@ -import functools import logging -import multiprocessing -import sys -from io import StringIO -from typing import Dict, Optional - -from langchain_core.pydantic_v1 import BaseModel, Field +from typing import Any logger = logging.getLogger(__name__) -@functools.lru_cache(maxsize=None) -def warn_once() -> None: - """Warn once about the dangers of PythonREPL.""" - logger.warning("Python REPL can execute arbitrary code. Use with caution.") - - -class PythonREPL(BaseModel): - """Simulates a standalone Python REPL.""" - - globals: Optional[Dict] = Field(default_factory=dict, alias="_globals") - locals: Optional[Dict] = Field(default_factory=dict, alias="_locals") - - @classmethod - def worker( - cls, - command: str, - globals: Optional[Dict], - locals: Optional[Dict], - queue: multiprocessing.Queue, - ) -> None: - old_stdout = sys.stdout - sys.stdout = mystdout = StringIO() - try: - exec(command, globals, locals) - sys.stdout = old_stdout - queue.put(mystdout.getvalue()) - except Exception as e: - sys.stdout = old_stdout - queue.put(repr(e)) - - def run(self, command: str, timeout: Optional[int] = None) -> str: - """Run command with own globals/locals and returns anything printed. - Timeout after the specified number of seconds.""" - - # Warn against dangers of PythonREPL - warn_once() - - queue: multiprocessing.Queue = multiprocessing.Queue() - - # Only use multiprocessing if we are enforcing a timeout - if timeout is not None: - # create a Process - p = multiprocessing.Process( - target=self.worker, args=(command, self.globals, self.locals, queue) - ) - - # start it - p.start() - - # wait for the process to finish or kill it after timeout seconds - p.join(timeout) - - if p.is_alive(): - p.terminate() - return "Execution timed out" - else: - self.worker(command, self.globals, self.locals, queue) - # get the result from the worker function - return queue.get() +def __getattr__(name: str) -> Any: + if name in "PythonREPL": + raise AssertionError( + "PythonREPL has been deprecated from langchain_community due to being " + "flagged by security scanners. See: " + "https://github.com/langchain-ai/langchain/issues/14345 " + "If you need to use it, please use the version " + "from langchain_experimental. " + "from langchain_experimental.utilities.python import PythonREPL." + ) + raise AttributeError(f"module {__name__} has no attribute {name}") diff --git a/libs/community/langchain_community/vectorstores/elasticsearch.py b/libs/community/langchain_community/vectorstores/elasticsearch.py index 09f818ff05eb5..2b517a987992b 100644 --- a/libs/community/langchain_community/vectorstores/elasticsearch.py +++ b/libs/community/langchain_community/vectorstores/elasticsearch.py @@ -805,7 +805,7 @@ def _search( if self.query_field not in fields: fields.append(self.query_field) - if self.embedding and query is not None: + if self.embedding and query is not None and query_vector is None: query_vector = self.embedding.embed_query(query) query_body = self.strategy.query( diff --git a/libs/community/poetry.lock b/libs/community/poetry.lock index a8feab2a5ee50..651c4dc3ee552 100644 --- a/libs/community/poetry.lock +++ b/libs/community/poetry.lock @@ -429,13 +429,13 @@ graph = ["gremlinpython (==3.4.6)"] [[package]] name = "cassio" -version = "0.1.7" +version = "0.1.8" description = "A framework-agnostic Python library to seamlessly integrate Apache Cassandra(R) with ML/LLM/genAI workloads." optional = false python-versions = "<4.0,>=3.8" files = [ - {file = "cassio-0.1.7-py3-none-any.whl", hash = "sha256:08d1028a20d09bd207de0e17eaf7ae821b3c8e4788555e2d337aa440e0846d87"}, - {file = "cassio-0.1.7.tar.gz", hash = "sha256:44f705dff8a9a1c48527db2c9e968686358c960fa21ba940d9e66de00639ad78"}, + {file = "cassio-0.1.8-py3-none-any.whl", hash = "sha256:c09e7c884ba7227ff5277c86f3b0f31c523672ea407f56d093c7227e69c54d94"}, + {file = "cassio-0.1.8.tar.gz", hash = "sha256:4e09929506cb3dd6fad217e89846d0a1a59069afd24b82c72526ef6f2e9271af"}, ] [package.dependencies] @@ -911,13 +911,13 @@ test-randomorder = ["pytest-randomly"] [[package]] name = "dataclasses-json" -version = "0.6.6" +version = "0.6.7" description = "Easily serialize dataclasses to and from JSON." optional = false python-versions = "<4.0,>=3.7" files = [ - {file = "dataclasses_json-0.6.6-py3-none-any.whl", hash = "sha256:e54c5c87497741ad454070ba0ed411523d46beb5da102e221efb873801b0ba85"}, - {file = "dataclasses_json-0.6.6.tar.gz", hash = "sha256:0c09827d26fffda27f1be2fed7a7a01a29c5ddcd2eb6393ad5ebf9d77e9deae8"}, + {file = "dataclasses_json-0.6.7-py3-none-any.whl", hash = "sha256:0dbf33f26c8d5305befd61b39d2b3414e8a407bedc2834dea9b8d642666fb40a"}, + {file = "dataclasses_json-0.6.7.tar.gz", hash = "sha256:b6b3e528266ea45b9535223bc53ca645f5208833c29229e847b3f26a1cc55fc0"}, ] [package.dependencies] @@ -1183,18 +1183,18 @@ lzo = ["python-lzo"] [[package]] name = "filelock" -version = "3.14.0" +version = "3.15.1" description = "A platform independent file lock." optional = false python-versions = ">=3.8" files = [ - {file = "filelock-3.14.0-py3-none-any.whl", hash = "sha256:43339835842f110ca7ae60f1e1c160714c5a6afd15a2873419ab185334975c0f"}, - {file = "filelock-3.14.0.tar.gz", hash = "sha256:6ea72da3be9b8c82afd3edcf99f2fffbb5076335a5ae4d03248bb5b6c3eae78a"}, + {file = "filelock-3.15.1-py3-none-any.whl", hash = "sha256:71b3102950e91dfc1bb4209b64be4dc8854f40e5f534428d8684f953ac847fac"}, + {file = "filelock-3.15.1.tar.gz", hash = "sha256:58a2549afdf9e02e10720eaa4d4470f56386d7a6f72edd7d0596337af8ed7ad8"}, ] [package.extras] docs = ["furo (>=2023.9.10)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.25.2)"] -testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8.0.1)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)"] +testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8.0.1)", "pytest (>=7.4.3)", "pytest-asyncio (>=0.21)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)"] typing = ["typing-extensions (>=4.8)"] [[package]] @@ -1519,13 +1519,13 @@ files = [ [[package]] name = "huggingface-hub" -version = "0.23.3" +version = "0.23.4" description = "Client library to 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by HTML and CSS." optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" files = [ - {file = "webcolors-1.13-py3-none-any.whl", hash = "sha256:29bc7e8752c0a1bd4a1f03c14d6e6a72e93d82193738fa860cbff59d0fcc11bf"}, - {file = "webcolors-1.13.tar.gz", hash = "sha256:c225b674c83fa923be93d235330ce0300373d02885cef23238813b0d5668304a"}, + {file = "webcolors-24.6.0-py3-none-any.whl", hash = "sha256:8cf5bc7e28defd1d48b9e83d5fc30741328305a8195c29a8e668fa45586568a1"}, + {file = "webcolors-24.6.0.tar.gz", hash = "sha256:1d160d1de46b3e81e58d0a280d0c78b467dc80f47294b91b1ad8029d2cedb55b"}, ] [package.extras] docs = ["furo", "sphinx", "sphinx-copybutton", "sphinx-inline-tabs", "sphinx-notfound-page", "sphinxext-opengraph"] -tests = ["pytest", "pytest-cov"] +tests = ["coverage[toml]"] [[package]] name = "webencodings" @@ -5668,4 +5701,4 @@ test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", [metadata] lock-version = "2.0" python-versions = ">=3.8.1,<4.0" -content-hash = "29ed623214f27eca75c318c82419fb42cac321d869f61e76156ae371c646b35f" +content-hash = "61538ca794c06fe6b00c43696bc4c9e7ad2147ef9a8d05ce331c766b2e6ded75" diff --git a/libs/community/pyproject.toml b/libs/community/pyproject.toml index 8df899c2274ac..ec16f5b4727eb 100644 --- a/libs/community/pyproject.toml +++ b/libs/community/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "langchain-community" -version = "0.2.4" +version = "0.2.5" description = "Community contributed LangChain integrations." authors = [] license = "MIT" @@ -9,8 +9,8 @@ repository = "https://github.com/langchain-ai/langchain" [tool.poetry.dependencies] python = ">=3.8.1,<4.0" -langchain-core = "^0.2.0" -langchain = "^0.2.0" +langchain-core = "^0.2.7" +langchain = "^0.2.5" SQLAlchemy = ">=1.4,<3" requests = "^2" PyYAML = ">=5.3" @@ -21,8 +21,8 @@ langsmith = "^0.1.0" # Support Python 3.8 and 3.12+. numpy = [ - {version = "^1", python = "<3.12"}, - {version = "^1.26.0", python = ">=3.12"} + { version = "^1", python = "<3.12" }, + { version = "^1.26.0", python = ">=3.12" }, ] [tool.poetry.group.test] @@ -101,7 +101,7 @@ optional = true [tool.poetry.group.dev.dependencies] jupyter = "^1.0.0" setuptools = "^67.6.1" -langchain-core = {path = "../core", develop = true} +langchain-core = { path = "../core", develop = true } [tool.ruff] exclude = [ diff --git a/libs/community/tests/unit_tests/llms/test_ollama.py b/libs/community/tests/unit_tests/llms/test_ollama.py index 0c8c4e9ace216..6d6ce632a8f2e 100644 --- a/libs/community/tests/unit_tests/llms/test_ollama.py +++ b/libs/community/tests/unit_tests/llms/test_ollama.py @@ -101,6 +101,7 @@ def mock_post(url, headers, json, stream, timeout): # type: ignore[no-untyped-d "system": "Test system prompt", "template": None, "keep_alive": None, + "raw": None, } assert stream is True assert timeout == 300 @@ -149,6 +150,7 @@ def mock_post(url, headers, json, stream, timeout): # type: ignore[no-untyped-d "system": None, "template": None, "keep_alive": None, + "raw": None, } assert stream is True assert timeout == 300 @@ -181,6 +183,7 @@ def mock_post(url, headers, json, stream, timeout): # type: ignore[no-untyped-d "system": None, "template": None, "keep_alive": None, + "raw": None, } assert stream is True assert timeout == 300 diff --git a/libs/community/tests/unit_tests/utilities/test_imports.py b/libs/community/tests/unit_tests/utilities/test_imports.py index bbe24e3e3a04c..0511820fa8999 100644 --- a/libs/community/tests/unit_tests/utilities/test_imports.py +++ b/libs/community/tests/unit_tests/utilities/test_imports.py @@ -41,7 +41,6 @@ "Portkey", "PowerBIDataset", "PubMedAPIWrapper", - "PythonREPL", "Requests", "RequestsWrapper", "RememberizerAPIWrapper", diff --git a/libs/core/langchain_core/_api/deprecation.py b/libs/core/langchain_core/_api/deprecation.py index 1c253d9921505..b5105db7f8bb9 100644 --- a/libs/core/langchain_core/_api/deprecation.py +++ b/libs/core/langchain_core/_api/deprecation.py @@ -33,6 +33,25 @@ class LangChainPendingDeprecationWarning(PendingDeprecationWarning): T = TypeVar("T", bound=Union[Type, Callable[..., Any]]) +def _validate_deprecation_params( + pending: bool, + removal: str, + alternative: str, + alternative_import: str, +) -> None: + """Validate the deprecation parameters.""" + if pending and removal: + raise ValueError("A pending deprecation cannot have a scheduled removal") + if alternative and alternative_import: + raise ValueError("Cannot specify both alternative and alternative_import") + + if alternative_import and "." not in alternative_import: + raise ValueError( + "alternative_import must be a fully qualified module path. Got " + f" {alternative_import}" + ) + + def deprecated( since: str, *, @@ -99,6 +118,7 @@ def deprecated( def the_function_to_deprecate(): pass """ + _validate_deprecation_params(pending, removal, alternative, alternative_import) def deprecate( obj: T, @@ -337,13 +357,6 @@ def warn_deprecated( since. Set to other Falsy values to not schedule a removal date. Cannot be used together with pending. """ - if pending and removal: - raise ValueError("A pending deprecation cannot have a scheduled removal") - if alternative and alternative_import: - raise ValueError("Cannot specify both alternative and alternative_import") - if alternative_import and "." not in alternative_import: - raise ValueError("alternative_import must be a fully qualified module path") - if not pending: if not removal: removal = f"in {removal}" if removal else "within ?? minor releases" diff --git a/libs/core/langchain_core/tracers/event_stream.py b/libs/core/langchain_core/tracers/event_stream.py index ad2d4eb692483..b7c6fa0359cd0 100644 --- a/libs/core/langchain_core/tracers/event_stream.py +++ b/libs/core/langchain_core/tracers/event_stream.py @@ -940,9 +940,10 @@ async def consume_astream() -> None: yield event finally: - # Wait for the runnable to finish, if not cancelled (eg. by break) - if task.cancel(): - try: - await task - except asyncio.CancelledError: - pass + # Cancel the task if it's still running + task.cancel() + # Await it anyway, to run any cleanup code, and propagate any exceptions + try: + await task + except asyncio.CancelledError: + pass diff --git a/libs/core/langchain_core/tracers/stdout.py b/libs/core/langchain_core/tracers/stdout.py index dc2feb77a22de..3d091efff9a44 100644 --- a/libs/core/langchain_core/tracers/stdout.py +++ b/libs/core/langchain_core/tracers/stdout.py @@ -156,7 +156,7 @@ def _on_tool_end(self, run: Run) -> None: + get_bolded_text( f"[{crumbs}] [{elapsed(run)}] Exiting Tool run with output:\n" ) - + f'"{run.outputs["output"].strip()}"' + + f'"{str(run.outputs["output"]).strip()}"' ) def _on_tool_error(self, run: Run) -> None: diff --git a/libs/core/pyproject.toml b/libs/core/pyproject.toml index 1188ce720247f..9d784d5fc2050 100644 --- a/libs/core/pyproject.toml +++ b/libs/core/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "langchain-core" -version = "0.2.6" +version = "0.2.7" description = "Building applications with LLMs through composability" authors = [] license = "MIT" diff --git a/libs/core/tests/unit_tests/_api/test_deprecation.py b/libs/core/tests/unit_tests/_api/test_deprecation.py index fc05c002575da..a34cbcffbc86d 100644 --- a/libs/core/tests/unit_tests/_api/test_deprecation.py +++ b/libs/core/tests/unit_tests/_api/test_deprecation.py @@ -401,3 +401,14 @@ def test_deprecated_method_pydantic() -> None: doc = obj.deprecated_method.__doc__ assert isinstance(doc, str) assert doc.startswith("[*Deprecated*] original doc") + + +def test_raise_error_for_bad_decorator() -> None: + """Verify that errors raised on init rather than on use.""" + # Should not specify both `alternative` and `alternative_import` + with pytest.raises(ValueError): + + @deprecated(since="2.0.0", alternative="NewClass", alternative_import="hello") + def deprecated_function() -> str: + """original doc""" + return "This is a deprecated function." diff --git a/libs/experimental/langchain_experimental/graph_transformers/llm.py b/libs/experimental/langchain_experimental/graph_transformers/llm.py index e29cfb01b02b7..10c65ef7b9c2e 100644 --- a/libs/experimental/langchain_experimental/graph_transformers/llm.py +++ b/libs/experimental/langchain_experimental/graph_transformers/llm.py @@ -72,8 +72,8 @@ "You are a top-tier algorithm designed for extracting information in structured " "formats to build a knowledge graph.\n" "Try to capture as much information from the text as possible without " - "sacrifing accuracy. Do not add any information that is not explicitly " - "mentioned in the text\n" + "sacrificing accuracy. Do not add any information that is not explicitly " + "mentioned in the text.\n" "- **Nodes** represent entities and concepts.\n" "- The aim is to achieve simplicity and clarity in the knowledge graph, making it\n" "accessible for a vast audience.\n" @@ -82,8 +82,8 @@ "Ensure you use basic or elementary types for node labels.\n" "- For example, when you identify an entity representing a person, " "always label it as **'person'**. Avoid using more specific terms " - "like 'mathematician' or 'scientist'" - " - **Node IDs**: Never utilize integers as node IDs. Node IDs should be " + "like 'mathematician' or 'scientist'." + "- **Node IDs**: Never utilize integers as node IDs. Node IDs should be " "names or human-readable identifiers found in the text.\n" "- **Relationships** represent connections between entities or concepts.\n" "Ensure consistency and generality in relationship types when constructing " @@ -138,8 +138,8 @@ def _get_additional_info(input_type: str) -> str: elif input_type == "relationship": return ( "Instead of using specific and momentary types such as " - "'BECAME_PROFESSOR', use more general and timeless relationship types like " - "'PROFESSOR'. However, do not sacrifice any accuracy for generality" + "'BECAME_PROFESSOR', use more general and timeless relationship types " + "like 'PROFESSOR'. However, do not sacrifice any accuracy for generality" ) elif input_type == "property": return "" @@ -280,10 +280,32 @@ def create_simple_model( rel_types: Optional[List[str]] = None, node_properties: Union[bool, List[str]] = False, llm_type: Optional[str] = None, + relationship_properties: Union[bool, List[str]] = False, ) -> Type[_Graph]: """ - Simple model allows to limit node and/or relationship types. - Doesn't have any node or relationship properties. + Create a simple graph model with optional constraints on node + and relationship types. + + Args: + node_labels (Optional[List[str]]): Specifies the allowed node types. + Defaults to None, allowing all node types. + rel_types (Optional[List[str]]): Specifies the allowed relationship types. + Defaults to None, allowing all relationship types. + node_properties (Union[bool, List[str]]): Specifies if node properties should + be included. If a list is provided, only properties with keys in the list + will be included. If True, all properties are included. Defaults to False. + relationship_properties (Union[bool, List[str]]): Specifies if relationship + properties should be included. If a list is provided, only properties with + keys in the list will be included. If True, all properties are included. + Defaults to False. + llm_type (Optional[str]): The type of the language model. Defaults to None. + Only openai supports enum param: openai-chat. + + Returns: + Type[_Graph]: A graph model with the specified constraints. + + Raises: + ValueError: If 'id' is included in the node or relationship properties list. """ node_fields: Dict[str, Tuple[Any, Any]] = { @@ -325,39 +347,80 @@ class Property(BaseModel): ) SimpleNode = create_model("SimpleNode", **node_fields) # type: ignore - class SimpleRelationship(BaseModel): - """Represents a directed relationship between two nodes in a graph.""" - - source_node_id: str = Field( - description="Name or human-readable unique identifier of source node" - ) - source_node_type: str = optional_enum_field( - node_labels, - description="The type or label of the source node.", - input_type="node", - llm_type=llm_type, - ) - target_node_id: str = Field( - description="Name or human-readable unique identifier of target node" - ) - target_node_type: str = optional_enum_field( - node_labels, - description="The type or label of the target node.", - input_type="node", - llm_type=llm_type, + relationship_fields: Dict[str, Tuple[Any, Any]] = { + "source_node_id": ( + str, + Field( + ..., + description="Name or human-readable unique identifier of source node", + ), + ), + "source_node_type": ( + str, + optional_enum_field( + node_labels, + description="The type or label of the source node.", + input_type="node", + ), + ), + "target_node_id": ( + str, + Field( + ..., + description="Name or human-readable unique identifier of target node", + ), + ), + "target_node_type": ( + str, + optional_enum_field( + node_labels, + description="The type or label of the target node.", + input_type="node", + ), + ), + "type": ( + str, + optional_enum_field( + rel_types, + description="The type of the relationship.", + input_type="relationship", + ), + ), + } + if relationship_properties: + if ( + isinstance(relationship_properties, list) + and "id" in relationship_properties + ): + raise ValueError( + "The relationship property 'id' is reserved and cannot be used." + ) + # Map True to empty array + relationship_properties_mapped: List[str] = ( + [] if relationship_properties is True else relationship_properties ) - type: str = optional_enum_field( - rel_types, - description="The type of the relationship.", - input_type="relationship", - llm_type=llm_type, + + class RelationshipProperty(BaseModel): + """A single property consisting of key and value""" + + key: str = optional_enum_field( + relationship_properties_mapped, + description="Property key.", + input_type="property", + ) + value: str = Field(..., description="value") + + relationship_fields["properties"] = ( + Optional[List[RelationshipProperty]], + Field(None, description="List of relationship properties"), ) + SimpleRelationship = create_model("SimpleRelationship", **relationship_fields) # type: ignore class DynamicGraph(_Graph): """Represents a graph document consisting of nodes and relationships.""" nodes: Optional[List[SimpleNode]] = Field(description="List of nodes") # type: ignore - relationships: Optional[List[SimpleRelationship]] = Field( + relationships: Optional[List[SimpleRelationship]] = Field( # type: ignore description="List of relationships" ) @@ -377,7 +440,13 @@ def map_to_base_relationship(rel: Any) -> Relationship: """Map the SimpleRelationship to the base Relationship.""" source = Node(id=rel.source_node_id, type=rel.source_node_type) target = Node(id=rel.target_node_id, type=rel.target_node_type) - return Relationship(source=source, target=target, type=rel.type) + properties = {} + if hasattr(rel, "properties") and rel.properties: + for p in rel.properties: + properties[format_property_key(p.key)] = p.value + return Relationship( + source=source, target=target, type=rel.type, properties=properties + ) def _parse_and_clean_json( @@ -387,10 +456,15 @@ def _parse_and_clean_json( for node in argument_json["nodes"]: if not node.get("id"): # Id is mandatory, skip this node continue + node_properties = {} + if "properties" in node and node["properties"]: + for p in node["properties"]: + node_properties[format_property_key(p["key"])] = p["value"] nodes.append( Node( id=node["id"], type=node.get("type"), + properties=node_properties, ) ) relationships = [] @@ -423,6 +497,11 @@ def _parse_and_clean_json( except IndexError: rel["target_node_type"] = None + rel_properties = {} + if "properties" in rel and rel["properties"]: + for p in rel["properties"]: + rel_properties[format_property_key(p["key"])] = p["value"] + source_node = Node( id=rel["source_node_id"], type=rel["source_node_type"], @@ -436,6 +515,7 @@ def _parse_and_clean_json( source=source_node, target=target_node, type=rel["type"], + properties=rel_properties, ) ) return nodes, relationships @@ -458,6 +538,7 @@ def _format_relationships(rels: List[Relationship]) -> List[Relationship]: source=_format_nodes([el.source])[0], target=_format_nodes([el.target])[0], type=el.type.replace(" ", "_").upper(), + properties=el.properties, ) for el in rels ] @@ -513,8 +594,8 @@ class LLMGraphTransformer: """Transform documents into graph-based documents using a LLM. It allows specifying constraints on the types of nodes and relationships to include - in the output graph. The class doesn't support neither extract and node or - relationship properties + in the output graph. The class supports extracting properties for both nodes and + relationships. Args: llm (BaseLanguageModel): An instance of a language model supporting structured @@ -553,6 +634,7 @@ def __init__( prompt: Optional[ChatPromptTemplate] = None, strict_mode: bool = True, node_properties: Union[bool, List[str]] = False, + relationship_properties: Union[bool, List[str]] = False, ) -> None: self.allowed_nodes = allowed_nodes self.allowed_relationships = allowed_relationships @@ -564,14 +646,14 @@ def __init__( except NotImplementedError: self._function_call = False if not self._function_call: - if node_properties: + if node_properties or relationship_properties: raise ValueError( - "The 'node_properties' parameter cannot be used " - "in combination with a LLM that doesn't support " + "The 'node_properties' and 'relationship_properties' parameters " + "cannot be used in combination with a LLM that doesn't support " "native function calling." ) try: - import json_repair + import json_repair # type: ignore self.json_repair = json_repair except ImportError: @@ -590,7 +672,11 @@ def __init__( except AttributeError: llm_type = None schema = create_simple_model( - allowed_nodes, allowed_relationships, node_properties, llm_type + allowed_nodes, + allowed_relationships, + node_properties, + llm_type, + relationship_properties, ) structured_llm = llm.with_structured_output(schema, include_raw=True) prompt = prompt or default_prompt diff --git a/libs/experimental/langchain_experimental/pal_chain/base.py b/libs/experimental/langchain_experimental/pal_chain/base.py index 3cb6a1621a436..266020d993e65 100644 --- a/libs/experimental/langchain_experimental/pal_chain/base.py +++ b/libs/experimental/langchain_experimental/pal_chain/base.py @@ -12,13 +12,13 @@ from langchain.chains.base import Chain from langchain.chains.llm import LLMChain -from langchain_community.utilities import PythonREPL from langchain_core.callbacks.manager import CallbackManagerForChainRun from langchain_core.language_models import BaseLanguageModel from langchain_experimental.pal_chain.colored_object_prompt import COLORED_OBJECT_PROMPT from langchain_experimental.pal_chain.math_prompt import MATH_PROMPT from langchain_experimental.pydantic_v1 import Extra, Field, root_validator +from langchain_experimental.utilities import PythonREPL COMMAND_EXECUTION_FUNCTIONS = ["system", "exec", "execfile", "eval", "__import__"] COMMAND_EXECUTION_ATTRIBUTES = [ diff --git a/libs/experimental/poetry.lock b/libs/experimental/poetry.lock index de5f758c1e865..55226260bab6d 100644 --- a/libs/experimental/poetry.lock +++ b/libs/experimental/poetry.lock @@ -566,13 +566,13 @@ test = ["pytest"] [[package]] name = "dataclasses-json" -version = "0.6.6" +version = "0.6.7" description = "Easily serialize dataclasses to and from JSON." optional = false python-versions = "<4.0,>=3.7" files = [ - {file = "dataclasses_json-0.6.6-py3-none-any.whl", hash = "sha256:e54c5c87497741ad454070ba0ed411523d46beb5da102e221efb873801b0ba85"}, - {file = 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8948af5c64fe8..690e2421dc066 100644 --- a/libs/experimental/pyproject.toml +++ b/libs/experimental/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "langchain-experimental" -version = "0.0.60" +version = "0.0.61" description = "Building applications with LLMs through composability" authors = [] license = "MIT" @@ -10,8 +10,8 @@ repository = "https://github.com/langchain-ai/langchain" [tool.poetry.dependencies] python = ">=3.8.1,<4.0" -langchain-core = "^0.2" -langchain-community = "^0.2" +langchain-core = "^0.2.7" +langchain-community = "^0.2.5" [tool.poetry.group.lint] optional = true @@ -57,8 +57,8 @@ langchain-text-splitters = { path = "../text-splitters", develop = true } # Support Python 3.8 and 3.12+. # Can be removed once the numpy version is fixed in langchain-community. numpy = [ - {version = "^1.24.0", python = "<3.12"}, - {version = "^1.26.0", python = ">=3.12"} + { version = "^1.24.0", python = "<3.12" }, + { version = "^1.26.0", python = ">=3.12" }, ] diff --git a/libs/langchain/langchain/python.py b/libs/langchain/langchain/python.py index 92397f0d861e2..f1fdf538b45fd 100644 --- a/libs/langchain/langchain/python.py +++ b/libs/langchain/langchain/python.py @@ -1,11 +1,11 @@ """For backwards compatibility.""" -from typing import TYPE_CHECKING, Any +from typing import Any from langchain._api import create_importer -if TYPE_CHECKING: - from langchain_community.utilities.python import PythonREPL - +# Code has been removed from the community package as well. +# We'll proxy to community package, which will raise an appropriate exception, +# but we'll not include this in __all__, so it won't be listed as importable. _importer = create_importer( __package__, @@ -16,6 +16,3 @@ def __getattr__(name: str) -> Any: """Look up attributes dynamically.""" return _importer(name) - - -__all__ = ["PythonREPL"] diff --git a/libs/langchain/langchain/utilities/__init__.py b/libs/langchain/langchain/utilities/__init__.py index 66cd02b5463d0..21ce14366ce9a 100644 --- a/libs/langchain/langchain/utilities/__init__.py +++ b/libs/langchain/langchain/utilities/__init__.py @@ -38,7 +38,6 @@ Portkey, PowerBIDataset, PubMedAPIWrapper, - PythonREPL, Requests, RequestsWrapper, SceneXplainAPIWrapper, @@ -90,6 +89,8 @@ "Portkey": "langchain_community.utilities", "PowerBIDataset": "langchain_community.utilities", "PubMedAPIWrapper": "langchain_community.utilities", + # We will not list PythonREPL in __all__ since it has been removed from community + # it'll proxy to community package, which will raise an appropriate exception. "PythonREPL": "langchain_community.utilities", "Requests": "langchain_community.utilities", "SteamWebAPIWrapper": "langchain_community.utilities", @@ -147,7 +148,6 @@ def __getattr__(name: str) -> Any: "Portkey", "PowerBIDataset", "PubMedAPIWrapper", - "PythonREPL", "Requests", "SteamWebAPIWrapper", "SQLDatabase", diff --git a/libs/langchain/langchain/utilities/python.py b/libs/langchain/langchain/utilities/python.py index 92397f0d861e2..f1fdf538b45fd 100644 --- a/libs/langchain/langchain/utilities/python.py +++ b/libs/langchain/langchain/utilities/python.py @@ -1,11 +1,11 @@ """For backwards compatibility.""" -from typing import TYPE_CHECKING, Any +from typing import Any from langchain._api import create_importer -if TYPE_CHECKING: - from langchain_community.utilities.python import PythonREPL - +# Code has been removed from the community package as well. +# We'll proxy to community package, which will raise an appropriate exception, +# but we'll not include this in __all__, so it won't be listed as importable. _importer = create_importer( __package__, @@ -16,6 +16,3 @@ def __getattr__(name: str) -> Any: """Look up attributes dynamically.""" return _importer(name) - - -__all__ = ["PythonREPL"] diff --git a/libs/langchain/poetry.lock b/libs/langchain/poetry.lock index 300064bff302b..e1c2910e96a81 100644 --- a/libs/langchain/poetry.lock +++ b/libs/langchain/poetry.lock @@ -1760,7 +1760,7 @@ files = [ [[package]] name = "langchain-core" -version = "0.2.6" +version = "0.2.7" description = "Building applications with LLMs through composability" optional = false python-versions = ">=3.8.1,<4.0" @@ -4542,4 +4542,4 @@ test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", [metadata] lock-version = "2.0" python-versions = ">=3.8.1,<4.0" -content-hash = "16623240666e473afdbeb0cb02f7788c49317273216d5fb6d1f7827755bb9e1e" +content-hash = "7c8c65835e41539ddd6ea3f5c989788d170e2856087d83da3e808badc2d9d8e4" diff --git a/libs/langchain/pyproject.toml b/libs/langchain/pyproject.toml index 379cbedb54d9c..0b12ecfdb844f 100644 --- a/libs/langchain/pyproject.toml +++ b/libs/langchain/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "langchain" -version = "0.2.4" +version = "0.2.5" description = "Building applications with LLMs through composability" authors = [] license = "MIT" @@ -12,7 +12,7 @@ langchain-server = "langchain.server:main" [tool.poetry.dependencies] python = ">=3.8.1,<4.0" -langchain-core = "^0.2.6" +langchain-core = "^0.2.7" langchain-text-splitters = "^0.2.0" langsmith = "^0.1.17" pydantic = ">=1,<3" diff --git a/libs/langchain/tests/unit_tests/utilities/test_imports.py b/libs/langchain/tests/unit_tests/utilities/test_imports.py index 895988ed09774..c1d6e10842be0 100644 --- a/libs/langchain/tests/unit_tests/utilities/test_imports.py +++ b/libs/langchain/tests/unit_tests/utilities/test_imports.py @@ -29,7 +29,6 @@ "Portkey", "PowerBIDataset", "PubMedAPIWrapper", - "PythonREPL", "Requests", "RequestsWrapper", "SQLDatabase", diff --git a/libs/text-splitters/langchain_text_splitters/html.py b/libs/text-splitters/langchain_text_splitters/html.py index 89113313967e8..5cd1fce74d0a0 100644 --- a/libs/text-splitters/langchain_text_splitters/html.py +++ b/libs/text-splitters/langchain_text_splitters/html.py @@ -233,9 +233,7 @@ def create_documents( documents.append(new_doc) return documents - def split_html_by_headers( - self, html_doc: str - ) -> Dict[str, Dict[str, Optional[str]]]: + def split_html_by_headers(self, html_doc: str) -> List[Dict[str, Optional[str]]]: try: from bs4 import BeautifulSoup, PageElement # type: ignore[import-untyped] except ImportError as e: @@ -247,7 +245,7 @@ def split_html_by_headers( soup = BeautifulSoup(html_doc, "html.parser") headers = list(self.headers_to_split_on.keys()) - sections: Dict[str, Dict[str, Optional[str]]] = {} + sections: list[dict[str, str | None]] = [] headers = soup.find_all(["body"] + headers) @@ -269,10 +267,13 @@ def split_html_by_headers( content = " ".join(section_content).strip() if content != "": - sections[current_header] = { - "content": content, - "tag_name": current_header_tag, - } + sections.append( + { + "header": current_header, + "content": content, + "tag_name": current_header_tag, + } + ) return sections @@ -307,12 +308,12 @@ def split_text_from_file(self, file: Any) -> List[Document]: return [ Document( - cast(str, sections[section_key]["content"]), + cast(str, section["content"]), metadata={ - self.headers_to_split_on[ - str(sections[section_key]["tag_name"]) - ]: section_key + self.headers_to_split_on[str(section["tag_name"])]: section[ + "header" + ] }, ) - for section_key in sections.keys() + for section in sections ] diff --git a/libs/text-splitters/tests/unit_tests/test_text_splitters.py b/libs/text-splitters/tests/unit_tests/test_text_splitters.py index 9f9c76b98d74d..d3ca82862faa3 100644 --- a/libs/text-splitters/tests/unit_tests/test_text_splitters.py +++ b/libs/text-splitters/tests/unit_tests/test_text_splitters.py @@ -1650,6 +1650,59 @@ def test_section_splitter_accepts_an_absolute_path() -> None: sec_splitter.split_text(html_string) +@pytest.mark.requires("lxml") +@pytest.mark.requires("bs4") +def test_happy_path_splitting_with_duplicate_header_tag() -> None: + # arrange + html_string = """ + + +
+

Foo

+

Some intro text about Foo.

+
+

Bar main section

+

Some intro text about Bar.

+

Bar subsection 1

+

Some text about the first subtopic of Bar.

+

Bar subsection 2

+

Some text about the second subtopic of Bar.

+
+
+

Foo

+

Some text about Baz

+
+

Foo

+
+

Some concluding text about Foo

+
+ + """ + + sec_splitter = HTMLSectionSplitter( + headers_to_split_on=[("h1", "Header 1"), ("h2", "Header 2")] + ) + + docs = sec_splitter.split_text(html_string) + + assert len(docs) == 4 + assert docs[0].page_content == "Foo \n Some intro text about Foo." + assert docs[0].metadata["Header 1"] == "Foo" + + assert docs[1].page_content == ( + "Bar main section \n Some intro text about Bar. \n " + "Bar subsection 1 \n Some text about the first subtopic of Bar. \n " + "Bar subsection 2 \n Some text about the second subtopic of Bar." + ) + assert docs[1].metadata["Header 2"] == "Bar main section" + + assert docs[2].page_content == "Foo \n Some text about Baz" + assert docs[2].metadata["Header 2"] == "Foo" + + assert docs[3].page_content == "Foo \n \n Some concluding text about Foo" + assert docs[3].metadata["Header 1"] == "Foo" + + def test_split_json() -> None: """Test json text splitter""" max_chunk = 800 diff --git a/templates/anthropic-iterative-search/poetry.lock b/templates/anthropic-iterative-search/poetry.lock deleted file mode 100644 index c9dcedc39a822..0000000000000 --- a/templates/anthropic-iterative-search/poetry.lock +++ /dev/null @@ -1,2028 +0,0 @@ -# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. - 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