From 3c7f3a421969bf52b9d7706aca5bd39380cd8706 Mon Sep 17 00:00:00 2001 From: msftwarelab Date: Thu, 29 Jun 2023 15:57:17 +0200 Subject: [PATCH 01/15] Add WordLift Loader --- llama_hub/library.json | 5 + llama_hub/wordlift/README.md | 63 + llama_hub/wordlift/__init__.py | 1 + llama_hub/wordlift/base.py | 302 +++++ llama_hub/wordlift/requirements.txt | 4 + poetry.lock | 1893 +++++++++++++++++++++++++++ 6 files changed, 2268 insertions(+) create mode 100644 llama_hub/wordlift/README.md create mode 100644 llama_hub/wordlift/__init__.py create mode 100644 llama_hub/wordlift/base.py create mode 100644 llama_hub/wordlift/requirements.txt create mode 100644 poetry.lock diff --git a/llama_hub/library.json b/llama_hub/library.json index e1b470e910..8b0d004bcc 100644 --- a/llama_hub/library.json +++ b/llama_hub/library.json @@ -252,6 +252,11 @@ "author": "sidu", "keywords": ["jokes", "dad jokes"] }, + "WordLiftLoader": { + "id": "WordLift", + "author": "msftwarelab", + "keywords": ["wordlift", "knowledge graph", "graphql", "structured data", "seo"] + }, "WhatsappChatLoader": { "id": "whatsapp", "author": "batmanscode", diff --git a/llama_hub/wordlift/README.md b/llama_hub/wordlift/README.md new file mode 100644 index 0000000000..73bd58fd45 --- /dev/null +++ b/llama_hub/wordlift/README.md @@ -0,0 +1,63 @@ +# WordLift Reader + +The WordLift GraphQL Reader is a connector to fetch and transform data from a WordLift Knowledge Graph using your the WordLift Key. The connector provides a convenient way to load data from WordLift using a GraphQL query and transform it into a list of documents for further processing. + +## Usage +To use the WordLift GraphQL Reader, follow the steps below: + +1. Set up the necessary configuration options, such as the API endpoint, headers, query, fields, and configuration options (make sure you have with you the [Wordlift Key](https://docs.wordlift.io/pages/key-concepts/#wordlift-key)). +2. Create an instance of the `WordLiftGraphQLReader` class, passing in the configuration options. +3. Use the `load_data` method to fetch and transform the data. +4. Process the loaded documents as needed. + +Here's an example of how to use the WordLift GraphQL Reader: + +```python +import json +import logging +from llama_index import GPTVectorStoreIndex +from llama_index.readers.schema.base import Document +from langchain.llms import OpenAI +from langchain.chains.question_answering import load_qa_chain +from base import WordLiftGraphQLReader + +# Set up the necessary configuration options +endpoint = "https://api.wordlift.io/graphql/graphql" +headers = { + "Authorization": "", + "Content-Type": "application/json" +} + +query = """ +# Your GraphQL query here +""" +fields = "" +config_options = { + 'text_fields': [''], + 'metadata_fields': [''] +} +# Create an instance of the WordLiftGraphQLReader +reader = WordLiftGraphQLReader(endpoint, headers, query, fields, config_options) + +# Load the data +documents = reader.load_data() + +# Convert the documents +converted_doc = [] +for doc in documents: + converted_doc_id = json.dumps(doc.doc_id) + converted_doc.append(Document(text=doc.text, doc_id=converted_doc_id, + embedding=doc.embedding, doc_hash=doc.doc_hash, extra_info=doc.extra_info)) + +# Create the index and query engine +index = GPTVectorStoreIndex.from_documents(converted_doc) +query_engine = index.as_query_engine() + +# Perform a query +result = query_engine.query("") + +# Process the result as needed +logging.info("Result: %s", result) + +``` +This loader is designed to be used as a way to load data from WordLift KGs into [LlamaIndex](https://github.com/emptycrown/llama-hub/tree/main/llama_hub/apify/actor#:~:text=load%20data%20into-,LlamaIndex,-and/or%20subsequently) and/or subsequently used as a Tool in a [LangChain](https://github.com/hwchase17/langchain) Agent. diff --git a/llama_hub/wordlift/__init__.py b/llama_hub/wordlift/__init__.py new file mode 100644 index 0000000000..1d4640565a --- /dev/null +++ b/llama_hub/wordlift/__init__.py @@ -0,0 +1 @@ +"""Init file.""" diff --git a/llama_hub/wordlift/base.py b/llama_hub/wordlift/base.py new file mode 100644 index 0000000000..3287ac46c1 --- /dev/null +++ b/llama_hub/wordlift/base.py @@ -0,0 +1,302 @@ +import requests +from bs4 import BeautifulSoup +from typing import List +from graphql import parse, print_ast +from graphql.language.ast import ArgumentNode, NameNode, IntValueNode +from llama_index.readers.base import BaseReader +from llama_index.readers.schema.base import Document +import logging +import os +import warnings +from urllib.parse import urlparse + +DATA_KEY = 'data' +ERRORS_KEY = 'errors' +DEFAULT_PAGE = 0 +DEFAULT_ROWS = 500 + + +class WordLiftGraphQLReaderError(Exception): + """Base class for WordLiftGraphQLReader exceptions.""" + pass + + +class APICallError(WordLiftGraphQLReaderError): + """Exception raised for errors in API calls.""" + + def __init__(self, message): + self.message = message + super().__init__(self.message) + + +class DataTransformError(WordLiftGraphQLReaderError): + """Exception raised for errors in data transformation.""" + + def __init__(self, message): + self.message = message + super().__init__(self.message) + + +class WordLiftGraphQLReader(BaseReader): + """ + A reader class for fetching and transforming data from WordLift GraphQL API. + + Args: + endpoint (str): The API endpoint URL. + headers (dict): The request headers. + query (str): The GraphQL query. + fields (str): The fields to extract from the API response. + configure_options (dict): Additional configuration options. + page (int): The page number. + rows (int): The number of rows per page. + + Attributes: + endpoint (str): The API endpoint URL. + headers (dict): The request headers. + query (str): The GraphQL query. + fields (str): The fields to extract from the API response. + configure_options (dict): Additional configuration options. + page (int): The page number. + rows (int): The number of rows per page. + """ + + def __init__(self, endpoint, headers, query, fields, configure_options): + self.endpoint = endpoint + self.headers = headers + self.query = query + self.fields = fields + self.configure_options = configure_options + + def fetch_data(self) -> dict: + """ + Fetches data from the WordLift GraphQL API. + + Returns: + dict: The API response data. + + Raises: + APIConnectionError: If there is an error connecting to the API. + """ + try: + query = self.alter_query() + response = requests.post(self.endpoint, json={ + "query": query}, headers=self.headers) + response.raise_for_status() + data = response.json() + if ERRORS_KEY in data: + raise APICallError(data[ERRORS_KEY]) + return data + except requests.exceptions.RequestException as e: + logging.error('Error connecting to the API:', exc_info=True) + raise APICallError('Error connecting to the API') from e + + def transform_data(self, data: dict) -> List[Document]: + """ + Transforms the fetched data into a list of Document objects. + + Args: + data (dict): The API response data. + + Returns: + List[Document]: The list of transformed documents. + + Raises: + DataTransformError: If there is an error transforming the data. + """ + try: + data = data[DATA_KEY][self.fields] + documents = [] + text_fields = self.configure_options.get('text_fields', []) + metadata_fields = self.configure_options.get('metadata_fields', []) + + for item in data: + row = {} + for key, value in item.items(): + if key in text_fields or key in metadata_fields: + row[key] = value + else: + row[key] = clean_value(value) + + text_parts = [ + get_separated_value(row, field.split('.')) + for field in text_fields + if get_separated_value(row, field.split('.')) is not None + ] + + text_parts = flatten_list(text_parts) + text = ' '.join(text_parts) + + extra_info = {} + for field in metadata_fields: + field_keys = field.split('.') + value = get_separated_value(row, field_keys) + if isinstance(value, list) and len(value) != 0: + value = value[0] + if is_url(value) and is_valid_html(value): + extra_info[field] = value + else: + extra_info[field] = clean_value(value) + + document = Document(text=text, extra_info=extra_info) + documents.append(document) + + return documents + except Exception as e: + logging.error('Error transforming data:', exc_info=True) + raise DataTransformError('Error transforming data') from e + + def load_data(self) -> List[Document]: + """ + Loads the data by fetching and transforming it. + + Returns: + List[Document]: The list of loaded documents. + """ + try: + data = self.fetch_data() + documents = self.transform_data(data) + return documents + except (APICallError, DataTransformError) as e: + logging.error('Error loading data:', exc_info=True) + raise + + def alter_query(self): + """ + Alters the GraphQL query by adding pagination arguments. + + Returns: + str: The altered GraphQL query with pagination arguments. + """ + query = self.query + page = DEFAULT_PAGE + rows = DEFAULT_ROWS + + ast = parse(query) + + field_node = ast.definitions[0].selection_set.selections[0] + + if not any(arg.name.value == 'page' for arg in field_node.arguments): + page_argument = ArgumentNode( + name=NameNode(value='page'), + value=IntValueNode(value=page) + ) + rows_argument = ArgumentNode( + name=NameNode(value='rows'), + value=IntValueNode(value=rows) + ) + field_node.arguments = field_node.arguments + \ + (page_argument, rows_argument) + altered_query = print_ast(ast) + return altered_query + + +def is_url(text: str) -> bool: + """ + Checks if the given text is a URL. + + Args: + text (str): The text to check. + + Returns: + bool: True if the text is a URL, False otherwise. + """ + try: + result = urlparse(text) + return all([result.scheme, result.netloc]) + except ValueError: + return False + + +def is_valid_html(content: str) -> bool: + """ + Checks if the given content is a valid HTML document. + """ + if content is None: + return False + + if is_url(content): + response = requests.get(content) + if response.status_code == 200: + html_content = response.text + return BeautifulSoup(html_content, 'html.parser').find('html') is not None + else: + return False + + return BeautifulSoup(content, 'html.parser').find('html') is not None + + +@staticmethod +def clean_value(x: any) -> any: + """ + Cleans a value by checking if it's a URL and fetching its content using the WordLift Inspect API. + """ + if x is not None and not isinstance(x, list): + return clean_html(x) + return x + + +@staticmethod +def clean_html(text: str) -> str: + """ + Cleans HTML content by fetching its text representation using BeautifulSoup. + """ + if text is None: + return "" + + if isinstance(text, dict): + return str(text) + if isinstance(text, str): + if is_url(text): + response = requests.get(text) + if response.status_code == 200: + html_content = response.text + soup = BeautifulSoup(html_content, 'html.parser') + cleaned_text = soup.get_text() + else: + cleaned_text = text + elif os.path.isfile(text): + with open(text, 'r') as file: + soup = BeautifulSoup(file, 'html.parser') + cleaned_text = soup.get_text() + else: + with warnings.catch_warnings(): + warnings.filterwarnings("ignore", category=UserWarning) + soup = BeautifulSoup(text, 'html.parser') + cleaned_text = soup.get_text() + return cleaned_text + return str(text) + + +@staticmethod +def get_separated_value(item: dict, field_keys: List[str]) -> any: + """ + Retrieves the metadata value from the nested item based on field keys. + """ + + if not field_keys: + return item + key = field_keys[0] + if isinstance(item, list): + if len(item) == 0: + return None + else: + item = item[0] + if isinstance(item, dict) and key in item: + return get_separated_value(item[key], field_keys[1:]) + return None + + +@staticmethod +def flatten_list(lst): + """ + Flattens a nested list. + """ + if lst is None: + return [] + flattened = [] + for item in lst: + if isinstance(item, list): + flattened.extend(flatten_list(item)) + else: + flattened.append(item) + return flattened diff --git a/llama_hub/wordlift/requirements.txt 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100644 --- a/llama_hub/wordlift/README.md +++ b/llama_hub/wordlift/README.md @@ -6,7 +6,7 @@ The WordLift GraphQL Reader is a connector to fetch and transform data from a Wo To use the WordLift GraphQL Reader, follow the steps below: 1. Set up the necessary configuration options, such as the API endpoint, headers, query, fields, and configuration options (make sure you have with you the [Wordlift Key](https://docs.wordlift.io/pages/key-concepts/#wordlift-key)). -2. Create an instance of the `WordLiftGraphQLReader` class, passing in the configuration options. +2. Create an instance of the `WordLiftReader` class, passing in the configuration options. 3. Use the `load_data` method to fetch and transform the data. 4. Process the loaded documents as needed. @@ -15,11 +15,11 @@ Here's an example of how to use the WordLift GraphQL Reader: ```python import json import logging -from llama_index import GPTVectorStoreIndex +from llama_index import VectorStoreIndex from llama_index.readers.schema.base import Document from langchain.llms import OpenAI from langchain.chains.question_answering import load_qa_chain -from base import WordLiftGraphQLReader +from llama_hub.wordlift.base import WordLiftReader # Set up the necessary configuration options endpoint = "https://api.wordlift.io/graphql/graphql" @@ -36,8 +36,8 @@ config_options = { 'text_fields': [''], 'metadata_fields': [''] } -# Create an instance of the WordLiftGraphQLReader -reader = WordLiftGraphQLReader(endpoint, headers, query, fields, config_options) +# Create an instance of the WordLiftReader +reader = WordLiftReader(endpoint, headers, query, fields, config_options) # Load the data documents = reader.load_data() diff --git a/llama_hub/wordlift/base.py b/llama_hub/wordlift/base.py index 3287ac46c1..2375ee0656 100644 --- a/llama_hub/wordlift/base.py +++ b/llama_hub/wordlift/base.py @@ -16,12 +16,12 @@ DEFAULT_ROWS = 500 -class WordLiftGraphQLReaderError(Exception): - """Base class for WordLiftGraphQLReader exceptions.""" +class WordLiftReaderError(Exception): + """Base class for WordLiftReader exceptions.""" pass -class APICallError(WordLiftGraphQLReaderError): +class APICallError(WordLiftReaderError): """Exception raised for errors in API calls.""" def __init__(self, message): @@ -29,7 +29,7 @@ def __init__(self, message): super().__init__(self.message) -class DataTransformError(WordLiftGraphQLReaderError): +class DataTransformError(WordLiftReaderError): """Exception raised for errors in data transformation.""" def __init__(self, message): @@ -37,7 +37,7 @@ def __init__(self, message): super().__init__(self.message) -class WordLiftGraphQLReader(BaseReader): +class WordLiftReader(BaseReader): """ A reader class for fetching and transforming data from WordLift GraphQL API. 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-[metadata] -lock-version = "2.0" -python-versions = ">=3.8.1,<4.0" -content-hash = "29341919c622894d3eb7da83fc5ebbe52975167d6cc4b753fd60f53d03c0fc4f" From 55837c4317486890688dc52ef06756aba18e0f91 Mon Sep 17 00:00:00 2001 From: msftwarelab Date: Sat, 1 Jul 2023 19:16:58 -0400 Subject: [PATCH 04/15] change json id --- llama_hub/library.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/llama_hub/library.json b/llama_hub/library.json index 8b0d004bcc..b4cce36923 100644 --- a/llama_hub/library.json +++ b/llama_hub/library.json @@ -253,7 +253,7 @@ "keywords": ["jokes", "dad jokes"] }, "WordLiftLoader": { - "id": "WordLift", + "id": "wordlift", "author": "msftwarelab", "keywords": ["wordlift", "knowledge graph", "graphql", "structured data", "seo"] }, From 5ea5da08d9d7c5e7a67161c938dd681151f3bfcc Mon Sep 17 00:00:00 2001 From: msftwarelab Date: Mon, 3 Jul 2023 08:17:42 -0400 Subject: [PATCH 05/15] add graphql module in requirements --- llama_hub/wordlift/requirements.txt | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/llama_hub/wordlift/requirements.txt b/llama_hub/wordlift/requirements.txt index 5904f7cfa7..3a39bdbf3e 100644 --- a/llama_hub/wordlift/requirements.txt +++ b/llama_hub/wordlift/requirements.txt @@ -1,2 +1,3 @@ langchain -graphql-core \ No newline at end of file +graphql-core +graphql \ No newline at end of file From 71257094be99cb26c28807301bc9e94c15d5ac02 Mon Sep 17 00:00:00 2001 From: msftwarelab Date: Mon, 3 Jul 2023 17:36:04 +0200 Subject: [PATCH 06/15] lazy import module --- llama_hub/wordlift/base.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/llama_hub/wordlift/base.py b/llama_hub/wordlift/base.py index 2375ee0656..e7b7c5b54e 100644 --- a/llama_hub/wordlift/base.py +++ b/llama_hub/wordlift/base.py @@ -1,8 +1,6 @@ import requests from bs4 import BeautifulSoup from typing import List -from graphql import parse, print_ast -from graphql.language.ast import ArgumentNode, NameNode, IntValueNode from llama_index.readers.base import BaseReader from llama_index.readers.schema.base import Document import logging @@ -167,6 +165,8 @@ def alter_query(self): Returns: str: The altered GraphQL query with pagination arguments. """ + from graphql import parse, print_ast + from graphql.language.ast import ArgumentNode, NameNode, IntValueNode query = self.query page = DEFAULT_PAGE rows = DEFAULT_ROWS From 577c6a109770a7d1da86bb79e2be0bd957db9c1d Mon Sep 17 00:00:00 2001 From: msftwarelab Date: Mon, 3 Jul 2023 19:21:32 +0200 Subject: [PATCH 07/15] fix name match issue --- llama_hub/wordlift/README.md | 8 ++++---- llama_hub/wordlift/base.py | 10 +++++----- 2 files changed, 9 insertions(+), 9 deletions(-) diff --git a/llama_hub/wordlift/README.md b/llama_hub/wordlift/README.md index 705cbdc704..7a6afc16e5 100644 --- a/llama_hub/wordlift/README.md +++ b/llama_hub/wordlift/README.md @@ -6,7 +6,7 @@ The WordLift GraphQL Reader is a connector to fetch and transform data from a Wo To use the WordLift GraphQL Reader, follow the steps below: 1. Set up the necessary configuration options, such as the API endpoint, headers, query, fields, and configuration options (make sure you have with you the [Wordlift Key](https://docs.wordlift.io/pages/key-concepts/#wordlift-key)). -2. Create an instance of the `WordLiftReader` class, passing in the configuration options. +2. Create an instance of the `WordLiftLoader` class, passing in the configuration options. 3. Use the `load_data` method to fetch and transform the data. 4. Process the loaded documents as needed. @@ -19,7 +19,7 @@ from llama_index import VectorStoreIndex from llama_index.readers.schema.base import Document from langchain.llms import OpenAI from langchain.chains.question_answering import load_qa_chain -from llama_hub.wordlift.base import WordLiftReader +from llama_hub.wordlift.base import WordLiftLoader # Set up the necessary configuration options endpoint = "https://api.wordlift.io/graphql/graphql" @@ -36,8 +36,8 @@ config_options = { 'text_fields': [''], 'metadata_fields': [''] } -# Create an instance of the WordLiftReader -reader = WordLiftReader(endpoint, headers, query, fields, config_options) +# Create an instance of the WordLiftLoader +reader = WordLiftLoader(endpoint, headers, query, fields, config_options) # Load the data documents = reader.load_data() diff --git a/llama_hub/wordlift/base.py b/llama_hub/wordlift/base.py index e7b7c5b54e..d9b9bc7f24 100644 --- a/llama_hub/wordlift/base.py +++ b/llama_hub/wordlift/base.py @@ -14,12 +14,12 @@ DEFAULT_ROWS = 500 -class WordLiftReaderError(Exception): - """Base class for WordLiftReader exceptions.""" +class WordLiftLoaderError(Exception): + """Base class for WordLiftLoader exceptions.""" pass -class APICallError(WordLiftReaderError): +class APICallError(WordLiftLoaderError): """Exception raised for errors in API calls.""" def __init__(self, message): @@ -27,7 +27,7 @@ def __init__(self, message): super().__init__(self.message) -class DataTransformError(WordLiftReaderError): +class DataTransformError(WordLiftLoaderError): """Exception raised for errors in data transformation.""" def __init__(self, message): @@ -35,7 +35,7 @@ def __init__(self, message): super().__init__(self.message) -class WordLiftReader(BaseReader): +class WordLiftLoader(BaseReader): """ A reader class for fetching and transforming data from WordLift GraphQL API. From df5ea631ed4e57702a4cb36b27a760c1059c60b5 Mon Sep 17 00:00:00 2001 From: msftwarelab Date: Wed, 5 Jul 2023 01:12:39 +0200 Subject: [PATCH 08/15] change readme and requirements --- llama_hub/wordlift/README.md | 3 ++- llama_hub/wordlift/requirements.txt | 3 +-- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/llama_hub/wordlift/README.md b/llama_hub/wordlift/README.md index 7a6afc16e5..f6bfba7bf6 100644 --- a/llama_hub/wordlift/README.md +++ b/llama_hub/wordlift/README.md @@ -19,7 +19,8 @@ from llama_index import VectorStoreIndex from llama_index.readers.schema.base import Document from langchain.llms import OpenAI from langchain.chains.question_answering import load_qa_chain -from llama_hub.wordlift.base import WordLiftLoader +from llama_index import download_loader +WordLiftLoader = download_loader("WordLiftLoader") # Set up the necessary configuration options endpoint = "https://api.wordlift.io/graphql/graphql" diff --git a/llama_hub/wordlift/requirements.txt b/llama_hub/wordlift/requirements.txt index 3a39bdbf3e..5904f7cfa7 100644 --- a/llama_hub/wordlift/requirements.txt +++ b/llama_hub/wordlift/requirements.txt @@ -1,3 +1,2 @@ langchain -graphql-core -graphql \ No newline at end of file +graphql-core \ No newline at end of file From 5fa58bd8ace2b0f6b74b7e8f72bee2aacabb3f27 Mon Sep 17 00:00:00 2001 From: msftwarelab Date: Wed, 5 Jul 2023 04:39:21 +0200 Subject: [PATCH 09/15] change readme file --- llama_hub/wordlift/README.md | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/llama_hub/wordlift/README.md b/llama_hub/wordlift/README.md index f6bfba7bf6..7a6afc16e5 100644 --- a/llama_hub/wordlift/README.md +++ b/llama_hub/wordlift/README.md @@ -19,8 +19,7 @@ from llama_index import VectorStoreIndex from llama_index.readers.schema.base import Document from langchain.llms import OpenAI from langchain.chains.question_answering import load_qa_chain -from llama_index import download_loader -WordLiftLoader = download_loader("WordLiftLoader") +from llama_hub.wordlift.base import WordLiftLoader # Set up the necessary configuration options endpoint = "https://api.wordlift.io/graphql/graphql" From a8682e62fd3624c2a4366f917fd9292b4dd34c8d Mon Sep 17 00:00:00 2001 From: msftwarelab Date: Wed, 5 Jul 2023 16:35:59 +0200 Subject: [PATCH 10/15] fix readme file --- llama_hub/wordlift/README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/llama_hub/wordlift/README.md b/llama_hub/wordlift/README.md index 7a6afc16e5..4e5c64b40d 100644 --- a/llama_hub/wordlift/README.md +++ b/llama_hub/wordlift/README.md @@ -22,7 +22,7 @@ from langchain.chains.question_answering import load_qa_chain from llama_hub.wordlift.base import WordLiftLoader # Set up the necessary configuration options -endpoint = "https://api.wordlift.io/graphql/graphql" +endpoint = "https://api.wordlift.io/graphql" headers = { "Authorization": "", "Content-Type": "application/json" @@ -50,7 +50,7 @@ for doc in documents: embedding=doc.embedding, doc_hash=doc.doc_hash, extra_info=doc.extra_info)) # Create the index and query engine -index = GPTVectorStoreIndex.from_documents(converted_doc) +index = VectorStoreIndex.from_documents(converted_doc) query_engine = index.as_query_engine() # Perform a query From 2a3ed77c4f4909a7a3b214620b8e9ff59fb9e0fc Mon Sep 17 00:00:00 2001 From: msftwarelab Date: Wed, 5 Jul 2023 19:28:11 +0200 Subject: [PATCH 11/15] remove module in readme file --- llama_hub/wordlift/README.md | 2 -- 1 file changed, 2 deletions(-) diff --git a/llama_hub/wordlift/README.md b/llama_hub/wordlift/README.md index 4e5c64b40d..23e4c89237 100644 --- a/llama_hub/wordlift/README.md +++ b/llama_hub/wordlift/README.md @@ -14,11 +14,9 @@ Here's an example of how to use the WordLift GraphQL Reader: ```python import json -import logging from llama_index import VectorStoreIndex from llama_index.readers.schema.base import Document from langchain.llms import OpenAI -from langchain.chains.question_answering import load_qa_chain from llama_hub.wordlift.base import WordLiftLoader # Set up the necessary configuration options From 7172088856fcb531a0dfcc994414601cd934f7c9 Mon Sep 17 00:00:00 2001 From: msftwarelab Date: Tue, 25 Jul 2023 09:32:10 +0200 Subject: [PATCH 12/15] fix some bugs --- llama_hub/wordlift/base.py | 53 ++++++++++++++++++++++---------------- 1 file changed, 31 insertions(+), 22 deletions(-) diff --git a/llama_hub/wordlift/base.py b/llama_hub/wordlift/base.py index d9b9bc7f24..376f90fb32 100644 --- a/llama_hub/wordlift/base.py +++ b/llama_hub/wordlift/base.py @@ -215,11 +215,15 @@ def is_valid_html(content: str) -> bool: return False if is_url(content): - response = requests.get(content) - if response.status_code == 200: - html_content = response.text - return BeautifulSoup(html_content, 'html.parser').find('html') is not None - else: + try: + response = requests.get(content) + if response.status_code == 200: + html_content = response.text + return BeautifulSoup(html_content, 'html.parser').find('html') is not None + else: + return False + except (requests.exceptions.RequestException, requests.exceptions.ConnectionError): + # If there is a connection error or the URL doesn't resolve, skip it return False return BeautifulSoup(content, 'html.parser').find('html') is not None @@ -246,24 +250,29 @@ def clean_html(text: str) -> str: if isinstance(text, dict): return str(text) if isinstance(text, str): - if is_url(text): - response = requests.get(text) - if response.status_code == 200: - html_content = response.text - soup = BeautifulSoup(html_content, 'html.parser') - cleaned_text = soup.get_text() + try: + if is_url(text): + response = requests.get(text) + if response.status_code == 200: + html_content = response.text + soup = BeautifulSoup(html_content, 'html.parser') + cleaned_text = soup.get_text() + else: + cleaned_text = "" + elif os.path.isfile(text): + with open(text, 'r') as file: + soup = BeautifulSoup(file, 'html.parser') + cleaned_text = soup.get_text() else: - cleaned_text = text - elif os.path.isfile(text): - with open(text, 'r') as file: - soup = BeautifulSoup(file, 'html.parser') - cleaned_text = soup.get_text() - else: - with warnings.catch_warnings(): - warnings.filterwarnings("ignore", category=UserWarning) - soup = BeautifulSoup(text, 'html.parser') - cleaned_text = soup.get_text() - return cleaned_text + with warnings.catch_warnings(): + warnings.filterwarnings("ignore", category=UserWarning) + soup = BeautifulSoup(text, 'html.parser') + cleaned_text = soup.get_text() + return cleaned_text + except (requests.exceptions.RequestException, requests.exceptions.ConnectionError): + # If there is a connection error or the URL doesn't resolve, skip it + return "" + return str(text) From f983b8694f6554bde839e876a2ea51bc37e8e231 Mon Sep 17 00:00:00 2001 From: msftwarelab Date: Mon, 28 Aug 2023 16:36:00 +0200 Subject: [PATCH 13/15] some update to prevent errors when transforming data --- llama_hub/wordlift/base.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/llama_hub/wordlift/base.py b/llama_hub/wordlift/base.py index 376f90fb32..40b2cdd2be 100644 --- a/llama_hub/wordlift/base.py +++ b/llama_hub/wordlift/base.py @@ -108,6 +108,10 @@ def transform_data(self, data: dict) -> List[Document]: metadata_fields = self.configure_options.get('metadata_fields', []) for item in data: + if not all(key in item for key in text_fields): + logging.warning( + f"Skipping document due to missing text fields: {item}") + continue row = {} for key, value in item.items(): if key in text_fields or key in metadata_fields: From 27b7a51d3a920afb7fcd5a994ded50aa0316bf06 Mon Sep 17 00:00:00 2001 From: msftwarelab Date: Mon, 4 Sep 2023 10:39:30 +0200 Subject: [PATCH 14/15] fix transforming error --- llama_hub/wordlift/base.py | 25 +++++++++++++++++-------- 1 file changed, 17 insertions(+), 8 deletions(-) diff --git a/llama_hub/wordlift/base.py b/llama_hub/wordlift/base.py index 40b2cdd2be..129414ac49 100644 --- a/llama_hub/wordlift/base.py +++ b/llama_hub/wordlift/base.py @@ -1,5 +1,6 @@ import requests from bs4 import BeautifulSoup +import re from typing import List from llama_index.readers.base import BaseReader from llama_index.readers.schema.base import Document @@ -10,8 +11,6 @@ DATA_KEY = 'data' ERRORS_KEY = 'errors' -DEFAULT_PAGE = 0 -DEFAULT_ROWS = 500 class WordLiftLoaderError(Exception): @@ -132,14 +131,21 @@ def transform_data(self, data: dict) -> List[Document]: for field in metadata_fields: field_keys = field.split('.') value = get_separated_value(row, field_keys) + if value is None: + logging.warning(f"Using default value for {field}") + value = 'n.a' if isinstance(value, list) and len(value) != 0: value = value[0] if is_url(value) and is_valid_html(value): + value = value.replace('\n', '') extra_info[field] = value else: - extra_info[field] = clean_value(value) - - document = Document(text=text, extra_info=extra_info) + cleaned_value = clean_value(value) + cleaned_value = cleaned_value.replace('\n', '') + extra_info[field] = cleaned_value + text = text.replace('\n', '') + plain_text = re.sub('<.*?>', '', text) + document = Document(text=plain_text, extra_info=extra_info) documents.append(document) return documents @@ -171,6 +177,9 @@ def alter_query(self): """ from graphql import parse, print_ast from graphql.language.ast import ArgumentNode, NameNode, IntValueNode + DEFAULT_PAGE = 0 + DEFAULT_ROWS = 500 + query = self.query page = DEFAULT_PAGE rows = DEFAULT_ROWS @@ -259,18 +268,18 @@ def clean_html(text: str) -> str: response = requests.get(text) if response.status_code == 200: html_content = response.text - soup = BeautifulSoup(html_content, 'html.parser') + soup = BeautifulSoup(html_content, 'lxml') cleaned_text = soup.get_text() else: cleaned_text = "" elif os.path.isfile(text): with open(text, 'r') as file: - soup = BeautifulSoup(file, 'html.parser') + soup = BeautifulSoup(file, 'lxml') cleaned_text = soup.get_text() else: with warnings.catch_warnings(): warnings.filterwarnings("ignore", category=UserWarning) - soup = BeautifulSoup(text, 'html.parser') + soup = BeautifulSoup(text, 'lxml') cleaned_text = soup.get_text() return cleaned_text except (requests.exceptions.RequestException, requests.exceptions.ConnectionError): From 875485981585c63a724d0e828dce1be045b2bd96 Mon Sep 17 00:00:00 2001 From: msftwarelab Date: Mon, 2 Oct 2023 03:44:39 +0200 Subject: [PATCH 15/15] fix the issues for url fields --- llama_hub/wordlift/README.md | 36 +++++----- llama_hub/wordlift/base.py | 125 ++++++++++++++++++++--------------- 2 files changed, 93 insertions(+), 68 deletions(-) diff --git a/llama_hub/wordlift/README.md b/llama_hub/wordlift/README.md index 23e4c89237..c9f2a11135 100644 --- a/llama_hub/wordlift/README.md +++ b/llama_hub/wordlift/README.md @@ -35,27 +35,31 @@ config_options = { 'metadata_fields': [''] } # Create an instance of the WordLiftLoader -reader = WordLiftLoader(endpoint, headers, query, fields, config_options) +async def main(): + reader = WordLiftLoader(endpoint, headers, query, fields, config_options) -# Load the data -documents = reader.load_data() + # Load the data + documents = await reader.load_data() -# Convert the documents -converted_doc = [] -for doc in documents: - converted_doc_id = json.dumps(doc.doc_id) - converted_doc.append(Document(text=doc.text, doc_id=converted_doc_id, - embedding=doc.embedding, doc_hash=doc.doc_hash, extra_info=doc.extra_info)) + # Convert the documents + converted_doc = [] + for doc in documents: + converted_doc_id = json.dumps(doc.doc_id) + converted_doc.append(Document(text=doc.text, doc_id=converted_doc_id, + embedding=doc.embedding, doc_hash=doc.doc_hash, extra_info=doc.extra_info)) -# Create the index and query engine -index = VectorStoreIndex.from_documents(converted_doc) -query_engine = index.as_query_engine() + # Create the index and query engine + index = VectorStoreIndex.from_documents(converted_doc) + query_engine = index.as_query_engine() -# Perform a query -result = query_engine.query("") + # Perform a query + result = query_engine.query("") -# Process the result as needed -logging.info("Result: %s", result) + # Process the result as needed + logging.info("Result: %s", result) + +if __name__ == "__main__": + asyncio.run(main()) # Run the asyncio event loop ``` This loader is designed to be used as a way to load data from WordLift KGs into [LlamaIndex](https://github.com/emptycrown/llama-hub/tree/main/llama_hub/apify/actor#:~:text=load%20data%20into-,LlamaIndex,-and/or%20subsequently) and/or subsequently used as a Tool in a [LangChain](https://github.com/hwchase17/langchain) Agent. diff --git a/llama_hub/wordlift/base.py b/llama_hub/wordlift/base.py index 129414ac49..b28ec2d9c9 100644 --- a/llama_hub/wordlift/base.py +++ b/llama_hub/wordlift/base.py @@ -1,20 +1,25 @@ -import requests -from bs4 import BeautifulSoup -import re -from typing import List -from llama_index.readers.base import BaseReader -from llama_index.readers.schema.base import Document import logging import os +import re import warnings +from typing import List from urllib.parse import urlparse -DATA_KEY = 'data' -ERRORS_KEY = 'errors' +import requests +import asyncio +import urllib.parse +from bs4 import BeautifulSoup +from llama_index.readers.base import BaseReader +from llama_index.readers.schema.base import Document + +DATA_KEY = "data" +ERRORS_KEY = "errors" +TIME_OUT = 10 class WordLiftLoaderError(Exception): """Base class for WordLiftLoader exceptions.""" + pass @@ -64,7 +69,7 @@ def __init__(self, endpoint, headers, query, fields, configure_options): self.fields = fields self.configure_options = configure_options - def fetch_data(self) -> dict: + async def fetch_data(self) -> dict: """ Fetches data from the WordLift GraphQL API. @@ -76,16 +81,20 @@ def fetch_data(self) -> dict: """ try: query = self.alter_query() - response = requests.post(self.endpoint, json={ - "query": query}, headers=self.headers) + response = await asyncio.to_thread( + requests.post, + self.endpoint, + json={"query": query}, + headers=self.headers, + ) response.raise_for_status() data = response.json() if ERRORS_KEY in data: raise APICallError(data[ERRORS_KEY]) return data except requests.exceptions.RequestException as e: - logging.error('Error connecting to the API:', exc_info=True) - raise APICallError('Error connecting to the API') from e + logging.error("Error connecting to the API:", exc_info=True) + raise APICallError("Error connecting to the API") from e def transform_data(self, data: dict) -> List[Document]: """ @@ -103,13 +112,17 @@ def transform_data(self, data: dict) -> List[Document]: try: data = data[DATA_KEY][self.fields] documents = [] - text_fields = self.configure_options.get('text_fields', []) - metadata_fields = self.configure_options.get('metadata_fields', []) + text_fields = self.configure_options.get("text_fields", []) + metadata_fields = self.configure_options.get("metadata_fields", []) + for i in range(len(text_fields)): + if text_fields[i] == 'url' or text_fields[i] == 'address': + text_fields[i] = 'body' for item in data: if not all(key in item for key in text_fields): logging.warning( - f"Skipping document due to missing text fields: {item}") + f"Skipping document due to missing text fields: {item}" + ) continue row = {} for key, value in item.items(): @@ -117,43 +130,41 @@ def transform_data(self, data: dict) -> List[Document]: row[key] = value else: row[key] = clean_value(value) - text_parts = [ - get_separated_value(row, field.split('.')) + get_separated_value(row, field.split(".")) for field in text_fields - if get_separated_value(row, field.split('.')) is not None + if get_separated_value(row, field.split(".")) is not None ] text_parts = flatten_list(text_parts) - text = ' '.join(text_parts) + text = " ".join(text_parts) extra_info = {} for field in metadata_fields: - field_keys = field.split('.') + field_keys = field.split(".") value = get_separated_value(row, field_keys) if value is None: logging.warning(f"Using default value for {field}") - value = 'n.a' + value = "n.a" if isinstance(value, list) and len(value) != 0: value = value[0] if is_url(value) and is_valid_html(value): - value = value.replace('\n', '') - extra_info[field] = value + value = value.replace("\n", "") else: cleaned_value = clean_value(value) - cleaned_value = cleaned_value.replace('\n', '') - extra_info[field] = cleaned_value - text = text.replace('\n', '') - plain_text = re.sub('<.*?>', '', text) + cleaned_value = cleaned_value.replace("\n", "") + extra_info[field] = value + text = text.replace("\n", "") + plain_text = re.sub("<.*?>", "", text) document = Document(text=plain_text, extra_info=extra_info) documents.append(document) return documents except Exception as e: - logging.error('Error transforming data:', exc_info=True) - raise DataTransformError('Error transforming data') from e + logging.error("Error transforming data:", exc_info=True) + raise DataTransformError("Error transforming data") from e - def load_data(self) -> List[Document]: + async def load_data(self) -> List[Document]: """ Loads the data by fetching and transforming it. @@ -161,11 +172,11 @@ def load_data(self) -> List[Document]: List[Document]: The list of loaded documents. """ try: - data = self.fetch_data() + data = await self.fetch_data() documents = self.transform_data(data) return documents - except (APICallError, DataTransformError) as e: - logging.error('Error loading data:', exc_info=True) + except (APICallError, DataTransformError): + logging.error("Error loading data:", exc_info=True) raise def alter_query(self): @@ -176,7 +187,8 @@ def alter_query(self): str: The altered GraphQL query with pagination arguments. """ from graphql import parse, print_ast - from graphql.language.ast import ArgumentNode, NameNode, IntValueNode + from graphql.language.ast import ArgumentNode, IntValueNode, NameNode + DEFAULT_PAGE = 0 DEFAULT_ROWS = 500 @@ -188,14 +200,12 @@ def alter_query(self): field_node = ast.definitions[0].selection_set.selections[0] - if not any(arg.name.value == 'page' for arg in field_node.arguments): + if not any(arg.name.value == "page" for arg in field_node.arguments): page_argument = ArgumentNode( - name=NameNode(value='page'), - value=IntValueNode(value=page) + name=NameNode(value="page"), value=IntValueNode(value=page) ) rows_argument = ArgumentNode( - name=NameNode(value='rows'), - value=IntValueNode(value=rows) + name=NameNode(value="rows"), value=IntValueNode(value=rows) ) field_node.arguments = field_node.arguments + \ (page_argument, rows_argument) @@ -214,8 +224,8 @@ def is_url(text: str) -> bool: bool: True if the text is a URL, False otherwise. """ try: - result = urlparse(text) - return all([result.scheme, result.netloc]) + parsed_url = urllib.parse.urlparse(text) + return all([parsed_url.scheme, parsed_url.netloc]) except ValueError: return False @@ -229,17 +239,24 @@ def is_valid_html(content: str) -> bool: if is_url(content): try: - response = requests.get(content) + response = requests.get(content, timeout=TIME_OUT) if response.status_code == 200: html_content = response.text - return BeautifulSoup(html_content, 'html.parser').find('html') is not None + return ( + BeautifulSoup(html_content, "html.parser").find( + "html") is not None + ) else: return False - except (requests.exceptions.RequestException, requests.exceptions.ConnectionError): + except ( + requests.exceptions.RequestException, + requests.exceptions.ConnectionError, + requests.exceptions.Timeout + ): # If there is a connection error or the URL doesn't resolve, skip it return False - return BeautifulSoup(content, 'html.parser').find('html') is not None + return BeautifulSoup(content, "html.parser").find("html") is not None @staticmethod @@ -265,24 +282,28 @@ def clean_html(text: str) -> str: if isinstance(text, str): try: if is_url(text): - response = requests.get(text) + response = requests.get(text, timeout=TIME_OUT) if response.status_code == 200: html_content = response.text - soup = BeautifulSoup(html_content, 'lxml') + soup = BeautifulSoup(html_content, "lxml") cleaned_text = soup.get_text() else: cleaned_text = "" elif os.path.isfile(text): - with open(text, 'r') as file: - soup = BeautifulSoup(file, 'lxml') + with open(text, "r") as file: + soup = BeautifulSoup(file, "lxml") cleaned_text = soup.get_text() else: with warnings.catch_warnings(): warnings.filterwarnings("ignore", category=UserWarning) - soup = BeautifulSoup(text, 'lxml') + soup = BeautifulSoup(text, "lxml") cleaned_text = soup.get_text() return cleaned_text - except (requests.exceptions.RequestException, requests.exceptions.ConnectionError): + except ( + requests.exceptions.RequestException, + requests.exceptions.ConnectionError, + requests.exceptions.Timeout + ): # If there is a connection error or the URL doesn't resolve, skip it return ""