[Feature] Gmail Loader (#841)

This commit is contained in:
Deven Patel
2023-10-27 18:05:08 -07:00
committed by GitHub
parent 78ec91a3a9
commit 68183e9dce
12 changed files with 354 additions and 91 deletions

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@@ -0,0 +1,35 @@
---
title: '📬 Gmail'
---
To use GmailLoader you must install the extra dependencies with `pip install --upgrade embedchain[gmail]`.
The `source` must be a valid Gmail search query, you can refer `https://support.google.com/mail/answer/7190?hl=en` to build a query.
To load Gmail messages, you MUST use the data_type as `gmail`. Otherwise the source will be detected as simple `text`.
To use this you need to save `credentials.json` in the directory from where you will run the loader. Follow these steps to get the credentials
1. Go to the [Google Cloud Console](https://console.cloud.google.com/apis/credentials).
2. Create a project if you don't have one already.
3. Create an `OAuth Consent Screen` in the project. You may need to select the `external` option.
4. Make sure the consent screen is published.
5. Enable the [Gmail API](https://console.cloud.google.com/apis/api/gmail.googleapis.com)
6. Create credentials from the `Credentials` tab.
7. Select the type `OAuth Client ID`.
8. Choose the application type `Web application`. As a name you can choose `embedchain` or any other name as per your use case.
9. Add an authorized redirect URI for `http://localhost:8080/`.
10. You can leave everything else at default, finish the creation.
11. When you are done, a modal opens where you can download the details in `json` format.
12. Put the `.json` file in your current directory and rename it to `credentials.json`
```python
import os
from embedchain.apps.app import App
from embedchain.models.data_type import DataType
app = App()
query = "to: me label:inbox"
app.add(query, data_type=DataType.GMAIL)
app.query("Summarize my email conversations")
```

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@@ -2,7 +2,7 @@
title: '📓 Notion' title: '📓 Notion'
--- ---
To use notion you must install the extra dependencies with `pip install --upgrade embedchain[notion]`. To use notion you must install the extra dependencies with `pip install --upgrade embedchain[community]`.
To load a notion page, use the data_type as `notion`. Since it is hard to automatically detect, it is advised to specify the `data_type` when adding a notion document. To load a notion page, use the data_type as `notion`. Since it is hard to automatically detect, it is advised to specify the `data_type` when adding a notion document.
The next argument must **end** with the `notion page id`. The id is a 32-character string. Eg: The next argument must **end** with the `notion page id`. The id is a 32-character string. Eg:

View File

@@ -19,6 +19,7 @@ Embedchain comes with built-in support for various data sources. We handle the c
<Card title="🧾 xml" href="/data-sources/xml"></Card> <Card title="🧾 xml" href="/data-sources/xml"></Card>
<Card title="🙌 OpenAPI" href="/data-sources/openapi"></Card> <Card title="🙌 OpenAPI" href="/data-sources/openapi"></Card>
<Card title="🎥📺 youtube video" href="/data-sources/youtube-video"></Card> <Card title="🎥📺 youtube video" href="/data-sources/youtube-video"></Card>
<Card title="📬 Gmail" href="/data-sources/gmail"></Card>
</CardGroup> </CardGroup>
<br/ > <br/ >

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@@ -0,0 +1,22 @@
from typing import Optional
from langchain.text_splitter import RecursiveCharacterTextSplitter
from embedchain.chunkers.base_chunker import BaseChunker
from embedchain.config.add_config import ChunkerConfig
from embedchain.helper.json_serializable import register_deserializable
@register_deserializable
class GmailChunker(BaseChunker):
"""Chunker for gmail."""
def __init__(self, config: Optional[ChunkerConfig] = None):
if config is None:
config = ChunkerConfig(chunk_size=1000, chunk_overlap=0, length_function=len)
text_splitter = RecursiveCharacterTextSplitter(
chunk_size=config.chunk_size,
chunk_overlap=config.chunk_overlap,
length_function=config.length_function,
)
super().__init__(text_splitter)

View File

@@ -1,6 +1,7 @@
from embedchain.chunkers.base_chunker import BaseChunker from embedchain.chunkers.base_chunker import BaseChunker
from embedchain.chunkers.docs_site import DocsSiteChunker from embedchain.chunkers.docs_site import DocsSiteChunker
from embedchain.chunkers.docx_file import DocxFileChunker from embedchain.chunkers.docx_file import DocxFileChunker
from embedchain.chunkers.gmail import GmailChunker
from embedchain.chunkers.images import ImagesChunker from embedchain.chunkers.images import ImagesChunker
from embedchain.chunkers.json import JSONChunker from embedchain.chunkers.json import JSONChunker
from embedchain.chunkers.mdx import MdxChunker from embedchain.chunkers.mdx import MdxChunker
@@ -22,6 +23,7 @@ from embedchain.loaders.base_loader import BaseLoader
from embedchain.loaders.csv import CsvLoader from embedchain.loaders.csv import CsvLoader
from embedchain.loaders.docs_site_loader import DocsSiteLoader from embedchain.loaders.docs_site_loader import DocsSiteLoader
from embedchain.loaders.docx_file import DocxFileLoader from embedchain.loaders.docx_file import DocxFileLoader
from embedchain.loaders.gmail import GmailLoader
from embedchain.loaders.images import ImagesLoader from embedchain.loaders.images import ImagesLoader
from embedchain.loaders.json import JSONLoader from embedchain.loaders.json import JSONLoader
from embedchain.loaders.local_qna_pair import LocalQnaPairLoader from embedchain.loaders.local_qna_pair import LocalQnaPairLoader
@@ -84,6 +86,7 @@ class DataFormatter(JSONSerializable):
DataType.UNSTRUCTURED: UnstructuredLoader, DataType.UNSTRUCTURED: UnstructuredLoader,
DataType.JSON: JSONLoader, DataType.JSON: JSONLoader,
DataType.OPENAPI: OpenAPILoader, DataType.OPENAPI: OpenAPILoader,
DataType.GMAIL: GmailLoader,
} }
lazy_loaders = {DataType.NOTION} lazy_loaders = {DataType.NOTION}
if data_type in loaders: if data_type in loaders:
@@ -128,6 +131,7 @@ class DataFormatter(JSONSerializable):
DataType.UNSTRUCTURED: UnstructuredFileChunker, DataType.UNSTRUCTURED: UnstructuredFileChunker,
DataType.JSON: JSONChunker, DataType.JSON: JSONChunker,
DataType.OPENAPI: OpenAPIChunker, DataType.OPENAPI: OpenAPIChunker,
DataType.GMAIL: GmailChunker,
} }
if data_type in chunker_classes: if data_type in chunker_classes:
chunker_class: type = chunker_classes[data_type] chunker_class: type = chunker_classes[data_type]

124
embedchain/loaders/gmail.py Normal file
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@@ -0,0 +1,124 @@
import hashlib
import logging
import os
import quopri
from textwrap import dedent
from bs4 import BeautifulSoup
try:
from llama_index import download_loader
except ImportError:
raise ImportError("Notion requires extra dependencies. Install with `pip install embedchain[community]`") from None
from embedchain.loaders.base_loader import BaseLoader
from embedchain.utils import clean_string
def get_header(text: str, header: str) -> str:
start_string_position = text.find(header)
pos_start = text.find(":", start_string_position) + 1
pos_end = text.find("\n", pos_start)
header = text[pos_start:pos_end]
return header.strip()
class GmailLoader(BaseLoader):
def load_data(self, query):
"""Load data from gmail."""
if not os.path.isfile("credentials.json"):
raise FileNotFoundError(
"You must download the valid credentials file from your google \
dev account. Refer this `https://cloud.google.com/docs/authentication/api-keys`"
)
GmailReader = download_loader("GmailReader")
loader = GmailReader(query=query, service=None, results_per_page=20)
documents = loader.load_data()
logging.info(f"Gmail Loader: {len(documents)} mails found for query- {query}")
data = []
data_contents = []
logging.info(f"Gmail Loader: {len(documents)} mails found")
for document in documents:
original_size = len(document.text)
snippet = document.metadata.get("snippet")
meta_data = {
"url": document.metadata.get("id"),
"date": get_header(document.text, "Date"),
"subject": get_header(document.text, "Subject"),
"from": get_header(document.text, "From"),
"to": get_header(document.text, "To"),
"search_query": query,
}
# Decode
decoded_bytes = quopri.decodestring(document.text)
decoded_str = decoded_bytes.decode("utf-8", errors="replace")
# Slice
mail_start = decoded_str.find("<!DOCTYPE")
email_data = decoded_str[mail_start:]
# Web Page HTML Processing
soup = BeautifulSoup(email_data, "html.parser")
tags_to_exclude = [
"nav",
"aside",
"form",
"header",
"noscript",
"svg",
"canvas",
"footer",
"script",
"style",
]
for tag in soup(tags_to_exclude):
tag.decompose()
ids_to_exclude = ["sidebar", "main-navigation", "menu-main-menu"]
for id in ids_to_exclude:
tags = soup.find_all(id=id)
for tag in tags:
tag.decompose()
classes_to_exclude = [
"elementor-location-header",
"navbar-header",
"nav",
"header-sidebar-wrapper",
"blog-sidebar-wrapper",
"related-posts",
]
for class_name in classes_to_exclude:
tags = soup.find_all(class_=class_name)
for tag in tags:
tag.decompose()
content = soup.get_text()
content = clean_string(content)
cleaned_size = len(content)
if original_size != 0:
logging.info(
f"[{id}] Cleaned page size: {cleaned_size} characters, down from {original_size} (shrunk: {original_size-cleaned_size} chars, {round((1-(cleaned_size/original_size)) * 100, 2)}%)" # noqa:E501
)
result = f"""
email from '{meta_data.get('from')}' to '{meta_data.get('to')}'
subject: {meta_data.get('subject')}
date: {meta_data.get('date')}
preview: {snippet}
content: f{content}
"""
data_content = dedent(result)
data.append({"content": data_content, "meta_data": meta_data})
data_contents.append(data_content)
doc_id = hashlib.sha256((query + ", ".join(data_contents)).encode()).hexdigest()
response_data = {"doc_id": doc_id, "data": data}
return response_data

View File

@@ -28,6 +28,7 @@ class IndirectDataType(Enum):
UNSTRUCTURED = "unstructured" UNSTRUCTURED = "unstructured"
JSON = "json" JSON = "json"
OPENAPI = "openapi" OPENAPI = "openapi"
GMAIL = "gmail"
class SpecialDataType(Enum): class SpecialDataType(Enum):
@@ -55,3 +56,4 @@ class DataType(Enum):
UNSTRUCTURED = IndirectDataType.UNSTRUCTURED.value UNSTRUCTURED = IndirectDataType.UNSTRUCTURED.value
JSON = IndirectDataType.JSON.value JSON = IndirectDataType.JSON.value
OPENAPI = IndirectDataType.OPENAPI.value OPENAPI = IndirectDataType.OPENAPI.value
GMAIL = IndirectDataType.GMAIL.value

View File

@@ -259,6 +259,8 @@ def detect_datatype(source: Any) -> DataType:
else: else:
# Source is not a URL. # Source is not a URL.
# TODO: check if source is gmail query
# Use text as final fallback. # Use text as final fallback.
logging.debug(f"Source of `{formatted_source}` detected as `text`.") logging.debug(f"Source of `{formatted_source}` detected as `text`.")
return DataType.TEXT return DataType.TEXT

192
poetry.lock generated
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@@ -1,4 +1,4 @@
# This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand. # This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand.
[[package]] [[package]]
name = "aiofiles" name = "aiofiles"
@@ -323,6 +323,26 @@ description = "The uncompromising code formatter."
optional = false optional = false
python-versions = ">=3.8" python-versions = ">=3.8"
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@@ -1647,12 +1667,12 @@ files = [
google-auth = ">=2.14.1,<3.0.dev0" google-auth = ">=2.14.1,<3.0.dev0"
googleapis-common-protos = ">=1.56.2,<2.0.dev0" googleapis-common-protos = ">=1.56.2,<2.0.dev0"
grpcio = [ grpcio = [
{version = ">=1.33.2,<2.0dev", optional = true, markers = "extra == \"grpc\""},
{version = ">=1.49.1,<2.0dev", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""}, {version = ">=1.49.1,<2.0dev", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
{version = ">=1.33.2,<2.0dev", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""},
] ]
grpcio-status = [ grpcio-status = [
{version = ">=1.33.2,<2.0.dev0", optional = true, markers = "extra == \"grpc\""},
{version = ">=1.49.1,<2.0.dev0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""}, {version = ">=1.49.1,<2.0.dev0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
{version = ">=1.33.2,<2.0.dev0", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""},
] ]
protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0.dev0" protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0.dev0"
requests = ">=2.18.0,<3.0.0.dev0" requests = ">=2.18.0,<3.0.0.dev0"
@@ -1740,8 +1760,8 @@ google-api-core = {version = ">=1.31.5,<2.0.dev0 || >2.3.0,<3.0.0dev", extras =
google-cloud-core = ">=1.6.0,<3.0.0dev" google-cloud-core = ">=1.6.0,<3.0.0dev"
google-resumable-media = ">=0.6.0,<3.0dev" google-resumable-media = ">=0.6.0,<3.0dev"
grpcio = [ grpcio = [
{version = ">=1.47.0,<2.0dev", markers = "python_version < \"3.11\""},
{version = ">=1.49.1,<2.0dev", markers = "python_version >= \"3.11\""}, {version = ">=1.49.1,<2.0dev", markers = "python_version >= \"3.11\""},
{version = ">=1.47.0,<2.0dev", markers = "python_version < \"3.11\""},
] ]
packaging = ">=20.0.0" packaging = ">=20.0.0"
proto-plus = ">=1.15.0,<2.0.0dev" proto-plus = ">=1.15.0,<2.0.0dev"
@@ -1792,8 +1812,8 @@ files = [
google-api-core = {version = ">=1.34.0,<2.0.dev0 || >=2.11.dev0,<3.0.0dev", extras = ["grpc"]} google-api-core = {version = ">=1.34.0,<2.0.dev0 || >=2.11.dev0,<3.0.0dev", extras = ["grpc"]}
grpc-google-iam-v1 = ">=0.12.4,<1.0.0dev" grpc-google-iam-v1 = ">=0.12.4,<1.0.0dev"
proto-plus = [ proto-plus = [
{version = ">=1.22.0,<2.0.0dev", markers = "python_version < \"3.11\""},
{version = ">=1.22.2,<2.0.0dev", markers = "python_version >= \"3.11\""}, {version = ">=1.22.2,<2.0.0dev", markers = "python_version >= \"3.11\""},
{version = ">=1.22.0,<2.0.0dev", markers = "python_version < \"3.11\""},
] ]
protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0dev" protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0dev"
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optional = false optional = false
python-versions = ">=3.7" python-versions = ">=3.7"
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{file = "SQLAlchemy-2.0.22.tar.gz", hash = "sha256:5434cc601aa17570d79e5377f5fd45ff92f9379e2abed0be5e8c2fba8d353d2b"}, {file = "SQLAlchemy-2.0.22.tar.gz", hash = "sha256:5434cc601aa17570d79e5377f5fd45ff92f9379e2abed0be5e8c2fba8d353d2b"},
] ]
[package.dependencies] [package.dependencies]
greenlet = {version = "!=0.4.17", markers = "platform_machine == \"win32\" or platform_machine == \"WIN32\" or platform_machine == \"AMD64\" or platform_machine == \"amd64\" or platform_machine == \"x86_64\" or platform_machine == \"ppc64le\" or platform_machine == \"aarch64\""} greenlet = {version = "!=0.4.17", markers = "platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\""}
typing-extensions = ">=4.2.0" typing-extensions = ">=4.2.0"
[package.extras] [package.extras]
@@ -7246,15 +7257,16 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
[extras] [extras]
cohere = ["cohere"] cohere = ["cohere"]
community = ["llama-hub"] community = ["llama-hub"]
dataloaders = ["beautifulsoup4", "docx2txt", "duckduckgo-search", "jq", "pypdf", "pytube", "sentence-transformers", "unstructured"] dataloaders = ["beautifulsoup4", "docx2txt", "duckduckgo-search", "jq", "jq", "langchain", "pypdf", "pytube", "sentence-transformers", "unstructured"]
discord = ["discord"] discord = ["discord"]
elasticsearch = ["elasticsearch"] elasticsearch = ["elasticsearch"]
gmail = ["llama-hub", "requests"]
huggingface-hub = ["huggingface_hub"] huggingface-hub = ["huggingface_hub"]
images = ["ftfy", "pillow", "regex", "torch", "torchvision"] images = ["ftfy", "pillow", "regex", "torch", "torchvision"]
llama2 = ["replicate"] llama2 = ["replicate"]
milvus = ["pymilvus"] milvus = ["pymilvus"]
opensearch = ["opensearch-py"] opensearch = ["opensearch-py"]
opensource = ["gpt4all", "sentence-transformers", "torch"] opensource = ["gpt4all", "langchain", "sentence-transformers", "torch"]
pinecone = ["pinecone-client"] pinecone = ["pinecone-client"]
poe = ["fastapi-poe"] poe = ["fastapi-poe"]
qdrant = ["qdrant-client"] qdrant = ["qdrant-client"]
@@ -7267,4 +7279,4 @@ whatsapp = ["flask", "twilio"]
[metadata] [metadata]
lock-version = "2.0" lock-version = "2.0"
python-versions = ">=3.9,<3.13" python-versions = ">=3.9,<3.13"
content-hash = "4af6e1c42a582499a052face9ae1de4f152c6dc7e4137be36fa84f45ce7bf09b" content-hash = "511b05ec4dbb075096145017b301df036ff19f703e41b1a96f08ae43d9a52da5"

View File

@@ -168,9 +168,19 @@ dataloaders=[
"pytube", "pytube",
"sentence-transformers", "sentence-transformers",
"unstructured", "unstructured",
"jq",
] ]
vertexai = ["google-cloud-aiplatform"] vertexai = ["google-cloud-aiplatform"]
llama2 = ["replicate"] llama2 = ["replicate"]
gmail = [
"llama-hub",
"requests",
"google-api-python-client",
"google-auth",
"google-auth-oauthlib",
"google-auth-httplib2",
"google-api-core",
]
[tool.poetry.group.docs.dependencies] [tool.poetry.group.docs.dependencies]

View File

@@ -1,5 +1,6 @@
from embedchain.chunkers.docs_site import DocsSiteChunker from embedchain.chunkers.docs_site import DocsSiteChunker
from embedchain.chunkers.docx_file import DocxFileChunker from embedchain.chunkers.docx_file import DocxFileChunker
from embedchain.chunkers.gmail import GmailChunker
from embedchain.chunkers.json import JSONChunker from embedchain.chunkers.json import JSONChunker
from embedchain.chunkers.mdx import MdxChunker from embedchain.chunkers.mdx import MdxChunker
from embedchain.chunkers.notion import NotionChunker from embedchain.chunkers.notion import NotionChunker
@@ -31,6 +32,7 @@ chunker_common_config = {
YoutubeVideoChunker: {"chunk_size": 2000, "chunk_overlap": 0, "length_function": len}, YoutubeVideoChunker: {"chunk_size": 2000, "chunk_overlap": 0, "length_function": len},
JSONChunker: {"chunk_size": 1000, "chunk_overlap": 0, "length_function": len}, JSONChunker: {"chunk_size": 1000, "chunk_overlap": 0, "length_function": len},
OpenAPIChunker: {"chunk_size": 1000, "chunk_overlap": 0, "length_function": len}, OpenAPIChunker: {"chunk_size": 1000, "chunk_overlap": 0, "length_function": len},
GmailChunker: {"chunk_size": 1000, "chunk_overlap": 0, "length_function": len},
} }

View File

@@ -0,0 +1,49 @@
import pytest
from llama_index.readers.schema.base import Document
from embedchain.loaders.gmail import GmailLoader
@pytest.fixture
def mock_download_loader(mocker):
return mocker.patch("embedchain.loaders.gmail.download_loader")
@pytest.fixture
def mock_quopri(mocker):
return mocker.patch("embedchain.loaders.gmail.quopri.decodestring", return_value=b"your_test_decoded_string")
@pytest.fixture
def mock_beautifulsoup(mocker):
return mocker.patch("embedchain.loaders.gmail.BeautifulSoup", return_value=mocker.MagicMock())
@pytest.fixture
def gmail_loader(mock_download_loader, mock_quopri, mock_beautifulsoup):
return GmailLoader()
def test_load_data_file_not_found(gmail_loader, mocker):
with pytest.raises(FileNotFoundError):
with mocker.patch("os.path.isfile", return_value=False):
gmail_loader.load_data("your_query")
def test_load_data(gmail_loader, mock_download_loader, mocker):
mock_gmail_reader_instance = mocker.MagicMock()
text = "your_test_email_text"
metadata = {
"id": "your_test_id",
"snippet": "your_test_snippet",
}
mock_gmail_reader_instance.load_data.return_value = [Document(text=text, extra_info=metadata)]
mock_download_loader.return_value = mock_gmail_reader_instance
with mocker.patch("os.path.isfile", return_value=True):
response_data = gmail_loader.load_data("your_query")
assert "doc_id" in response_data
assert "data" in response_data
assert isinstance(response_data["doc_id"], str)
assert isinstance(response_data["data"], list)