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OllamaEmbeddings, BedrockEmbeddings +from langchain_google_genai import GoogleGenerativeAIEmbeddings from ..helpers import models_tokens -from ..models import AzureOpenAI, Bedrock, Gemini, Groq, HuggingFace, Ollama, OpenAI, Anthropic +from ..models import AzureOpenAI, Bedrock, Gemini, Groq, HuggingFace, Ollama, OpenAI, Anthropic, Claude class AbstractGraph(ABC): """ Scaffolding class for creating a graph representation and executing it. - Attributes: prompt (str): The prompt for the graph. source (str): The source of the graph. config (dict): Configuration parameters for the graph. diff --git a/scrapegraphai/models/__init__.py b/scrapegraphai/models/__init__.py index 7a4f7db9..a6cab89d 100644 --- a/scrapegraphai/models/__init__.py +++ b/scrapegraphai/models/__init__.py @@ -12,3 +12,4 @@ from .groq import Groq from .bedrock import Bedrock from .anthropic import Anthropic +from .claude import Claude diff --git a/scrapegraphai/models/claude.py b/scrapegraphai/models/claude.py new file mode 100644 index 00000000..b0030fc4 --- /dev/null +++ b/scrapegraphai/models/claude.py @@ -0,0 +1,19 @@ +""" +Claude model +""" +from langchain_anthropic import ChatAnthropic + + +class Claude(ChatAnthropic): + """Class for wrapping bedrock module""" + + def __init__(self, llm_config: dict): + """ + A wrapper for the Claude class that provides default configuration + and could be extended with additional methods if needed. + + Args: + llm_config (dict): Configuration parameters for the language model. + """ + # Initialize the superclass (ChatAnthropic) with provided config parameters + super().__init__(**llm_config) From 4ed0fb89c3e6068190a7775bedcb6ae65ba59d18 Mon Sep 17 00:00:00 2001 From: VinciGit00 Date: Wed, 8 May 2024 21:25:03 +0200 Subject: [PATCH 02/11] feat: update info --- scrapegraphai/graphs/script_creator_graph.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/scrapegraphai/graphs/script_creator_graph.py b/scrapegraphai/graphs/script_creator_graph.py index 5ffc358b..29798d0d 100644 --- a/scrapegraphai/graphs/script_creator_graph.py +++ b/scrapegraphai/graphs/script_creator_graph.py @@ -110,4 +110,4 @@ def run(self) -> str: inputs = {"user_prompt": self.prompt, self.input_key: self.source} self.final_state, self.execution_info = self.graph.execute(inputs) - return self.final_state.get("answer", "No answer found.") \ No newline at end of file + return self.final_state.get("answer", "No answer found ") From 8272d736a66db18a084efc05ce223500a957a8cd Mon Sep 17 00:00:00 2001 From: VinciGit00 Date: Wed, 8 May 2024 21:50:42 +0200 Subject: [PATCH 03/11] add tokenizatio for mxbai-embed-large --- poetry.lock | 691 ++++++++++++++++++++----- scrapegraphai/graphs/abstract_graph.py | 6 +- scrapegraphai/helpers/models_tokens.py | 3 +- 3 files changed, 558 insertions(+), 142 deletions(-) diff --git a/poetry.lock b/poetry.lock index 2cefd1ed..284c3841 100644 --- a/poetry.lock +++ b/poetry.lock @@ -132,6 +132,29 @@ files = [ {file = "annotated_types-0.6.0.tar.gz", hash = "sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d"}, ] +[[package]] +name = "anthropic" +version = "0.25.8" +description = "The official Python library for the anthropic API" +optional = false +python-versions = ">=3.7" +files = [ + {file = "anthropic-0.25.8-py3-none-any.whl", hash = "sha256:c7a0091916eb22a5e0012b725f5492779eedfcad2da8dc906082e1db7596a65c"}, + {file = "anthropic-0.25.8.tar.gz", hash = "sha256:93f6063e96d5dbeaa172edc177762f630e55b2f81595cedb760278b95a2dd03e"}, +] + +[package.dependencies] +anyio = ">=3.5.0,<5" +distro = ">=1.7.0,<2" +httpx = ">=0.23.0,<1" +pydantic = ">=1.9.0,<3" +sniffio = "*" +tokenizers = ">=0.13.0" +typing-extensions = ">=4.7,<5" + +[package.extras] +bedrock = ["boto3 (>=1.28.57)", "botocore (>=1.31.57)"] +vertex = ["google-auth (>=2,<3)"] [[package]] name = "anyio" version = "4.3.0" @@ -221,17 +244,17 @@ lxml = ["lxml"] [[package]] name = "boto3" -version = "1.34.99" +version = "1.34.101" description = "The AWS SDK for Python" optional = false python-versions = ">=3.8" files = [ - {file = "boto3-1.34.99-py3-none-any.whl", hash = "sha256:b54084d000483b578757df03ce39a819fbba47071c9aa98611beb8806bcecd45"}, - {file = "boto3-1.34.99.tar.gz", hash = "sha256:6f600b3fe0bda53476395c902d9af5a47294c93ec52a9cdc2b926a9dc705ce79"}, + {file = "boto3-1.34.101-py3-none-any.whl", hash = "sha256:79b93f3370ea96ce838042bc2eac0c996aee204b01e7e6452eb77abcbe697d6a"}, + {file = "boto3-1.34.101.tar.gz", hash = "sha256:1d854b5880e185db546b4c759fcb664bf3326275064d2b44229cc217e8be9d7e"}, ] [package.dependencies] -botocore = ">=1.34.99,<1.35.0" +botocore = ">=1.34.101,<1.35.0" jmespath = ">=0.7.1,<2.0.0" s3transfer = ">=0.10.0,<0.11.0" @@ -240,13 +263,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"] [[package]] name = "botocore" -version = "1.34.99" +version = "1.34.101" description = "Low-level, data-driven core of boto 3." optional = false python-versions = ">=3.8" files = [ - {file = "botocore-1.34.99-py3-none-any.whl", hash = "sha256:18c68bdeb0ffb73290912b0c96204fc36d3128f00a00b5cdc35ac34d66225f1c"}, - {file = "botocore-1.34.99.tar.gz", hash = "sha256:cafe569e2136cb33cb0e5dd32fb1c0e1503ddc1413d3be215df8ddf05e69137a"}, + {file = "botocore-1.34.101-py3-none-any.whl", hash = "sha256:f145e8b4b8fc9968f5eb695bdc2fcc8e675df7fbc3c56102dc1f5471be6baf35"}, + {file = "botocore-1.34.101.tar.gz", hash = "sha256:01f3802d25558dd7945d83884bf6885e2f84e1ff27f90b5f09614966fe18c18f"}, ] [package.dependencies] @@ -407,6 +430,17 @@ files = [ marshmallow = ">=3.18.0,<4.0.0" typing-inspect = ">=0.4.0,<1" +[[package]] +name = "defusedxml" +version = "0.7.1" +description = "XML bomb protection for Python stdlib modules" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" +files = [ + {file = "defusedxml-0.7.1-py2.py3-none-any.whl", hash = "sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61"}, + {file = "defusedxml-0.7.1.tar.gz", hash = "sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69"}, +] + [[package]] name = "distro" version = "1.9.0" @@ -481,6 +515,22 @@ files = [ [package.dependencies] numpy = "*" +[[package]] +name = "filelock" +version = "3.14.0" +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"}, +] + +[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)"] +typing = ["typing-extensions (>=4.8)"] + [[package]] name = "free-proxy" version = "1.1.1" @@ -581,6 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"b64eb1948d66b6f105fab878b1efc83ac5627631aa69552bd712f63a85246ebe" diff --git a/scrapegraphai/graphs/abstract_graph.py b/scrapegraphai/graphs/abstract_graph.py index f81bd3b0..90e7ac45 100644 --- a/scrapegraphai/graphs/abstract_graph.py +++ b/scrapegraphai/graphs/abstract_graph.py @@ -44,9 +44,9 @@ def __init__(self, prompt: str, config: dict, source: Optional[str] = None): self.source = source self.config = config self.llm_model = self._create_llm(config["llm"], chat=True) - self.embedder_model = self._create_default_embedder(llm_config=config["llm"] - ) if "embeddings" not in config else self._create_embedder( - config["embeddings"]) + embeddings_config = config.get("embeddings", {"dimension": 8192}) + self.embedder_model = self._create_default_embedder( + llm_config=config["llm"]) if "embeddings" not in config else self._create_embedder(embeddings_config) # Create the graph self.graph = self._create_graph() diff --git a/scrapegraphai/helpers/models_tokens.py b/scrapegraphai/helpers/models_tokens.py index c446c70c..7b28f9af 100644 --- a/scrapegraphai/helpers/models_tokens.py +++ b/scrapegraphai/helpers/models_tokens.py @@ -39,7 +39,8 @@ "dolphin-mixtral": 32000, "mistral-openorca": 32000, "stablelm-zephyr": 8192, - "nomic-embed-text": 8192 + "nomic-embed-text": 8192, + "mxbai-embed-large'": 8192 }, "groq": { "llama3-8b-8192": 8192, From 403979337c597037b20bd79b1e5c3ba2031e3149 Mon Sep 17 00:00:00 2001 From: VinciGit00 Date: Thu, 9 May 2024 10:46:31 +0200 Subject: [PATCH 04/11] Update abstract_graph.py --- scrapegraphai/graphs/abstract_graph.py | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/scrapegraphai/graphs/abstract_graph.py b/scrapegraphai/graphs/abstract_graph.py index 90e7ac45..6a5c9b59 100644 --- a/scrapegraphai/graphs/abstract_graph.py +++ b/scrapegraphai/graphs/abstract_graph.py @@ -44,9 +44,10 @@ def __init__(self, prompt: str, config: dict, source: Optional[str] = None): self.source = source self.config = config self.llm_model = self._create_llm(config["llm"], chat=True) - embeddings_config = config.get("embeddings", {"dimension": 8192}) - self.embedder_model = self._create_default_embedder( - llm_config=config["llm"]) if "embeddings" not in config else self._create_embedder(embeddings_config) + print(config["embeddings"]) + self.embedder_model = self._create_default_embedder(llm_config=config["llm"] + ) if "embeddings" not in config else self._create_embedder( + config["embeddings"]) # Create the graph self.graph = self._create_graph() @@ -162,7 +163,7 @@ def _create_llm(self, llm_config: dict, chat=False) -> object: try: self.model_token = models_tokens["ollama"][llm_params["model"]] except KeyError as exc: - raise KeyError("Model not supported") from exc + self.model_token = 8192 else: self.model_token = 8192 except AttributeError: From 94156755d132901f538291530f6da0d963f4f258 Mon Sep 17 00:00:00 2001 From: VinciGit00 Date: Thu, 9 May 2024 12:29:39 +0200 Subject: [PATCH 05/11] Update abstract_graph.py --- scrapegraphai/graphs/abstract_graph.py | 1 - 1 file changed, 1 deletion(-) diff --git a/scrapegraphai/graphs/abstract_graph.py b/scrapegraphai/graphs/abstract_graph.py index 6a5c9b59..a71508a4 100644 --- a/scrapegraphai/graphs/abstract_graph.py +++ b/scrapegraphai/graphs/abstract_graph.py @@ -44,7 +44,6 @@ def __init__(self, prompt: str, config: dict, source: Optional[str] = None): self.source = source self.config = config self.llm_model = self._create_llm(config["llm"], chat=True) - print(config["embeddings"]) self.embedder_model = self._create_default_embedder(llm_config=config["llm"] ) if "embeddings" not in config else self._create_embedder( config["embeddings"]) From ad32298e70fc626fd62c897e153b806f79dba9b9 Mon Sep 17 00:00:00 2001 From: semantic-release-bot Date: Thu, 9 May 2024 13:32:21 +0000 Subject: [PATCH 06/11] ci(release): 0.10.0-beta.3 [skip ci] ## [0.10.0-beta.3](https://github.com/VinciGit00/Scrapegraph-ai/compare/v0.10.0-beta.2...v0.10.0-beta.3) (2024-05-09) ### Features * update info ([4ed0fb8](https://github.com/VinciGit00/Scrapegraph-ai/commit/4ed0fb89c3e6068190a7775bedcb6ae65ba59d18)) --- CHANGELOG.md | 7 +++++++ pyproject.toml | 2 +- 2 files changed, 8 insertions(+), 1 deletion(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index bdd1ccf4..d302a4f0 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,3 +1,10 @@ +## [0.10.0-beta.3](https://github.com/VinciGit00/Scrapegraph-ai/compare/v0.10.0-beta.2...v0.10.0-beta.3) (2024-05-09) + + +### Features + +* update info ([4ed0fb8](https://github.com/VinciGit00/Scrapegraph-ai/commit/4ed0fb89c3e6068190a7775bedcb6ae65ba59d18)) + ## [0.10.0-beta.2](https://github.com/VinciGit00/Scrapegraph-ai/compare/v0.10.0-beta.1...v0.10.0-beta.2) (2024-05-08) diff --git a/pyproject.toml b/pyproject.toml index 39b0d030..7855f1de 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,7 +1,7 @@ [tool.poetry] name = "scrapegraphai" -version = "0.10.0b2" +version = "0.10.0b3" description = "A web scraping library based on LangChain which uses LLM and direct graph logic to create scraping pipelines." authors = [ From a37fbbcbcfc3ddd0cc66f586f279676b52c4abfe Mon Sep 17 00:00:00 2001 From: roncaglionidaniele Date: Thu, 9 May 2024 15:47:01 +0200 Subject: [PATCH 07/11] fix: limit python version to < 3.12 --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 39b0d030..7da99ff3 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -23,7 +23,7 @@ classifiers = [ ] [tool.poetry.dependencies] -python = "^3.9" +python = ">=3.9, <3.12" langchain = "0.1.15" langchain-openai = "^0.1.6" langchain-google-genai = "^1.0.3" From f10f3b1438e0c625b7f2fa52faeb5a6c12116113 Mon Sep 17 00:00:00 2001 From: Shubham Kamboj Date: Thu, 9 May 2024 21:55:05 +0530 Subject: [PATCH 08/11] feat: Add support for passing pdf path as source --- requirements.txt | 1 + scrapegraphai/graphs/pdf_scraper_graph.py | 13 +++---------- scrapegraphai/nodes/fetch_node.py | 11 ++++++++++- 3 files changed, 14 insertions(+), 11 deletions(-) diff --git a/requirements.txt b/requirements.txt index ce5754b5..1e6224b4 100644 --- a/requirements.txt +++ b/requirements.txt @@ -18,3 +18,4 @@ playwright==1.43.0 langchain-aws==0.1.2 langchain-anthropic==0.1.11 yahoo-search-py==0.3 +pypdf==4.2.0 diff --git a/scrapegraphai/graphs/pdf_scraper_graph.py b/scrapegraphai/graphs/pdf_scraper_graph.py index 2f62f509..4eb42b37 100644 --- a/scrapegraphai/graphs/pdf_scraper_graph.py +++ b/scrapegraphai/graphs/pdf_scraper_graph.py @@ -56,36 +56,29 @@ def _create_graph(self) -> BaseGraph: """ fetch_node = FetchNode( - input="pdf_dir", + input='pdf', output=["doc"], - node_config={ - "headless": self.headless, - "verbose": self.verbose - } ) parse_node = ParseNode( input="doc", output=["parsed_doc"], node_config={ "chunk_size": self.model_token, - "verbose": self.verbose } ) rag_node = RAGNode( input="user_prompt & (parsed_doc | doc)", output=["relevant_chunks"], node_config={ - "llm": self.llm_model, + "llm_model": self.llm_model, "embedder_model": self.embedder_model, - "verbose": self.verbose } ) generate_answer_node = GenerateAnswerNode( input="user_prompt & (relevant_chunks | parsed_doc | doc)", output=["answer"], node_config={ - "llm": self.llm_model, - "verbose": self.verbose + "llm_model": self.llm_model, } ) diff --git a/scrapegraphai/nodes/fetch_node.py b/scrapegraphai/nodes/fetch_node.py index bcd207f3..c900b0a2 100644 --- a/scrapegraphai/nodes/fetch_node.py +++ b/scrapegraphai/nodes/fetch_node.py @@ -5,6 +5,7 @@ from typing import List, Optional from langchain_community.document_loaders import AsyncChromiumLoader from langchain_core.documents import Document +from langchain_community.document_loaders import PyPDFLoader from .base_node import BaseNode from ..utils.remover import remover @@ -56,7 +57,6 @@ def execute(self, state): # Interpret input keys based on the provided input expression input_keys = self.get_input_keys(state) - # Fetching data from the state based on the input keys input_data = [state[key] for key in input_keys] @@ -66,6 +66,15 @@ def execute(self, state): "source": "local_dir" })] # if it is a local directory + + # handling for pdf + elif self.input == "pdf": + loader = PyPDFLoader(source) + compressed_document = loader.load() + + elif self.input == "pdf_dir": + pass + elif not source.startswith("http"): compressed_document = [Document(page_content=remover(source), metadata={ "source": "local_dir" From 84e8d127937f4e28175c74cef75971b26ea533aa Mon Sep 17 00:00:00 2001 From: VinciGit00 Date: Thu, 9 May 2024 20:16:07 +0200 Subject: [PATCH 09/11] update lock --- poetry.lock | 26 +++++++++++++------------- 1 file changed, 13 insertions(+), 13 deletions(-) diff --git a/poetry.lock b/poetry.lock index 284c3841..4bdc5dac 100644 --- a/poetry.lock +++ b/poetry.lock @@ -155,6 +155,7 @@ typing-extensions = ">=4.7,<5" [package.extras] bedrock = ["boto3 (>=1.28.57)", "botocore (>=1.31.57)"] vertex = ["google-auth (>=2,<3)"] + [[package]] name = "anyio" version = "4.3.0" @@ -1298,19 +1299,19 @@ numpy = ">=1,<2" [[package]] name = "langchain-community" -version = "0.0.37" +version = "0.0.38" description = "Community contributed LangChain integrations." optional = false python-versions = "<4.0,>=3.8.1" files = [ - {file = "langchain_community-0.0.37-py3-none-any.whl", hash = "sha256:52e8557602dc099c2e236ec8a0599a956e2f08cfeb61e501815f5ec2d8545747"}, - {file = "langchain_community-0.0.37.tar.gz", hash = "sha256:db2b5829bb20bc5b04c126b69143dbc31a880e949e94110c236b2c176906889f"}, + {file = "langchain_community-0.0.38-py3-none-any.whl", hash = "sha256:ecb48660a70a08c90229be46b0cc5f6bc9f38f2833ee44c57dfab9bf3a2c121a"}, + {file = "langchain_community-0.0.38.tar.gz", hash = "sha256:127fc4b75bc67b62fe827c66c02e715a730fef8fe69bd2023d466bab06b5810d"}, ] [package.dependencies] aiohttp = ">=3.8.3,<4.0.0" dataclasses-json = ">=0.5.7,<0.7" -langchain-core = ">=0.1.51,<0.2.0" +langchain-core = ">=0.1.52,<0.2.0" langsmith = ">=0.1.0,<0.2.0" numpy = ">=1,<2" PyYAML = ">=5.3" @@ -1412,13 +1413,13 @@ extended-testing = ["lxml (>=5.1.0,<6.0.0)"] [[package]] name = "langsmith" -version = "0.1.55" +version = "0.1.56" description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform." optional = false python-versions = "<4.0,>=3.8.1" files = [ - {file = "langsmith-0.1.55-py3-none-any.whl", hash = "sha256:c198b4019d0e0948fa2c94efcafa0312bd5e7ce36aae8d62a38af2d6b16584fc"}, - {file = "langsmith-0.1.55.tar.gz", hash = "sha256:08b75046471e3c32cb6b526e48ca4570bfe3911d6b0a3f8575ee062da940324c"}, + {file = "langsmith-0.1.56-py3-none-any.whl", hash = "sha256:2f930e054ea8eccd8ff99f0f129ae7d2513973b2e706d5483f44ea9951a1dca0"}, + {file = "langsmith-0.1.56.tar.gz", hash = "sha256:ff645b5bf16e2566740218ed6c048a1f8edbbedb4480a0d305a837ec71303fbf"}, ] [package.dependencies] @@ -1876,13 +1877,13 @@ files = [ [[package]] name = "openai" -version = "1.26.0" +version = "1.27.0" description = "The official Python library for the openai API" optional = false python-versions = ">=3.7.1" files = [ - {file = "openai-1.26.0-py3-none-any.whl", hash = "sha256:884ced523fb0225780f8b0e0ed6f7e014049c32d049a41ad0ac962869f1055d1"}, - {file = "openai-1.26.0.tar.gz", hash = "sha256:642e857b60855702ee6ff665e8fa80946164f77b92e58fd24e01b545685b8405"}, + {file = "openai-1.27.0-py3-none-any.whl", hash = "sha256:1183346fae6e63cb3a9134e397c0067690dc9d94ceb36eb0eb2c1bb9a1542aca"}, + {file = "openai-1.27.0.tar.gz", hash = "sha256:498adc80ba81a95324afdfd11a71fa43a37e1d94a5ca5f4542e52fe9568d995b"}, ] [package.dependencies] @@ -2005,7 +2006,6 @@ files = [ numpy = [ {version = ">=1.22.4", markers = "python_version < \"3.11\""}, {version = ">=1.23.2", markers = "python_version == \"3.11\""}, - {version = ">=1.26.0", markers = "python_version >= \"3.12\""}, ] python-dateutil = ">=2.8.2" pytz = ">=2020.1" @@ -3342,5 +3342,5 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p [metadata] lock-version = "2.0" -python-versions = "^3.9" -content-hash = "b64eb1948d66b6f105fab878b1efc83ac5627631aa69552bd712f63a85246ebe" +python-versions = ">=3.9, <3.12" +content-hash = "4248d989a9691c2ded2ba504a6099527c02ff5ffbbbf4ce900f85c7f5c548518" From 548bff9d77c8b4d2aadee40e966a06cc9d7fd4ab Mon Sep 17 00:00:00 2001 From: semantic-release-bot Date: Thu, 9 May 2024 18:17:45 +0000 Subject: [PATCH 10/11] ci(release): 0.10.0-beta.4 [skip ci] ## [0.10.0-beta.4](https://github.com/VinciGit00/Scrapegraph-ai/compare/v0.10.0-beta.3...v0.10.0-beta.4) (2024-05-09) ### Features * Add support for passing pdf path as source ([f10f3b1](https://github.com/VinciGit00/Scrapegraph-ai/commit/f10f3b1438e0c625b7f2fa52faeb5a6c12116113)) ### Bug Fixes * limit python version to < 3.12 ([a37fbbc](https://github.com/VinciGit00/Scrapegraph-ai/commit/a37fbbcbcfc3ddd0cc66f586f279676b52c4abfe)) --- CHANGELOG.md | 12 ++++++++++++ pyproject.toml | 2 +- 2 files changed, 13 insertions(+), 1 deletion(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index d302a4f0..a54c8306 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,3 +1,15 @@ +## [0.10.0-beta.4](https://github.com/VinciGit00/Scrapegraph-ai/compare/v0.10.0-beta.3...v0.10.0-beta.4) (2024-05-09) + + +### Features + +* Add support for passing pdf path as source ([f10f3b1](https://github.com/VinciGit00/Scrapegraph-ai/commit/f10f3b1438e0c625b7f2fa52faeb5a6c12116113)) + + +### Bug Fixes + +* limit python version to < 3.12 ([a37fbbc](https://github.com/VinciGit00/Scrapegraph-ai/commit/a37fbbcbcfc3ddd0cc66f586f279676b52c4abfe)) + ## [0.10.0-beta.3](https://github.com/VinciGit00/Scrapegraph-ai/compare/v0.10.0-beta.2...v0.10.0-beta.3) (2024-05-09) diff --git a/pyproject.toml b/pyproject.toml index e318c4df..90a86467 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,7 +1,7 @@ [tool.poetry] name = "scrapegraphai" -version = "0.10.0b3" +version = "0.10.0b4" description = "A web scraping library based on LangChain which uses LLM and direct graph logic to create scraping pipelines." authors = [ From 324e977b853ecaa55bac4bf86e7cd927f7f43d0d Mon Sep 17 00:00:00 2001 From: VinciGit00 Date: Thu, 9 May 2024 20:46:46 +0200 Subject: [PATCH 11/11] fix: fixed bugs for csv and xml --- scrapegraphai/graphs/csv_scraper_graph.py | 4 ++-- scrapegraphai/graphs/xml_scraper_graph.py | 4 ++-- scrapegraphai/nodes/fetch_node.py | 24 +++++++++++++++++------ 3 files changed, 22 insertions(+), 10 deletions(-) diff --git a/scrapegraphai/graphs/csv_scraper_graph.py b/scrapegraphai/graphs/csv_scraper_graph.py index 24c19234..178a9c47 100644 --- a/scrapegraphai/graphs/csv_scraper_graph.py +++ b/scrapegraphai/graphs/csv_scraper_graph.py @@ -30,7 +30,7 @@ def _create_graph(self): Creates the graph of nodes representing the workflow for web scraping. """ fetch_node = FetchNode( - input="csv_dir", + input="csv", output=["doc"], ) parse_node = ParseNode( @@ -78,4 +78,4 @@ def run(self) -> str: inputs = {"user_prompt": self.prompt, self.input_key: self.source} self.final_state, self.execution_info = self.graph.execute(inputs) - return self.final_state.get("answer", "No answer found.") \ No newline at end of file + return self.final_state.get("answer", "No answer found.") diff --git a/scrapegraphai/graphs/xml_scraper_graph.py b/scrapegraphai/graphs/xml_scraper_graph.py index 945dc165..b487f6ae 100644 --- a/scrapegraphai/graphs/xml_scraper_graph.py +++ b/scrapegraphai/graphs/xml_scraper_graph.py @@ -56,7 +56,7 @@ def _create_graph(self) -> BaseGraph: """ fetch_node = FetchNode( - input="xml_dir", + input="xml", output=["doc"] ) parse_node = ParseNode( @@ -108,4 +108,4 @@ def run(self) -> str: inputs = {"user_prompt": self.prompt, self.input_key: self.source} self.final_state, self.execution_info = self.graph.execute(inputs) - return self.final_state.get("answer", "No answer found.") \ No newline at end of file + return self.final_state.get("answer", "No answer found.") diff --git a/scrapegraphai/nodes/fetch_node.py b/scrapegraphai/nodes/fetch_node.py index c900b0a2..dfaf8bb6 100644 --- a/scrapegraphai/nodes/fetch_node.py +++ b/scrapegraphai/nodes/fetch_node.py @@ -1,7 +1,7 @@ """ FetchNode Module """ - +import pandas as pd from typing import List, Optional from langchain_community.document_loaders import AsyncChromiumLoader from langchain_core.documents import Document @@ -22,7 +22,7 @@ class FetchNode(BaseNode): Attributes: headless (bool): A flag indicating whether the browser should run in headless mode. verbose (bool): A flag indicating whether to print verbose output during execution. - + Args: input (str): Boolean expression defining the input keys needed from the state. output (List[str]): List of output keys to be updated in the state. @@ -30,11 +30,13 @@ class FetchNode(BaseNode): node_name (str): The unique identifier name for the node, defaulting to "Fetch". """ - def __init__(self, input: str, output: List[str], node_config: Optional[dict]=None, node_name: str = "Fetch"): + def __init__(self, input: str, output: List[str], node_config: Optional[dict] = None, node_name: str = "Fetch"): super().__init__(node_name, "node", input, output, 1) - self.headless = True if node_config is None else node_config.get("headless", True) - self.verbose = False if node_config is None else node_config.get("verbose", False) + self.headless = True if node_config is None else node_config.get( + "headless", True) + self.verbose = False if node_config is None else node_config.get( + "verbose", False) def execute(self, state): """ @@ -72,6 +74,16 @@ def execute(self, state): loader = PyPDFLoader(source) compressed_document = loader.load() + elif self.input == "csv": + compressed_document = [Document(page_content=pd.read_csv(source), metadata={ + "source": "xml" + })] + elif self.input == "xml": + with open(source, 'r', encoding='utf-8') as f: + data = f.read() + compressed_document = [Document(page_content=data, metadata={ + "source": "xml" + })] elif self.input == "pdf_dir": pass @@ -82,7 +94,7 @@ def execute(self, state): else: if self.node_config is not None and self.node_config.get("endpoint") is not None: - + loader = AsyncChromiumLoader( [source], proxies={"http": self.node_config["endpoint"]},