Airtable connector

.github/workflows/pr-python-connector-tests.yml

@@ -30,7 +30,11 @@ env:
   SF_USERNAME: ${{ secrets.SF_USERNAME }}
   SF_PASSWORD: ${{ secrets.SF_PASSWORD }}
   SF_SECURITY_TOKEN: ${{ secrets.SF_SECURITY_TOKEN }}
-
+  # Airtable
+  AIRTABLE_TEST_BASE_ID: ${{ secrets.AIRTABLE_TEST_BASE_ID }}
+  AIRTABLE_TEST_TABLE_ID: ${{ secrets.AIRTABLE_TEST_TABLE_ID }}
+  AIRTABLE_TEST_TABLE_NAME: ${{ secrets.AIRTABLE_TEST_TABLE_NAME }}
+  AIRTABLE_ACCESS_TOKEN: ${{ secrets.AIRTABLE_ACCESS_TOKEN }}
 jobs:
   connectors-check:
     # See https://runs-on.com/runners/linux/

backend/onyx/configs/constants.py

@@ -139,6 +139,7 @@ class DocumentSource(str, Enum):
     FRESHDESK = "freshdesk"
     FIREFLIES = "fireflies"
     EGNYTE = "egnyte"
+    AIRTABLE = "airtable"
 
 
 DocumentSourceRequiringTenantContext: list[DocumentSource] = [DocumentSource.FILE]

backend/onyx/connectors/airtable/airtable_connector.py

@@ -0,0 +1,266 @@
+from io import BytesIO
+from typing import Any
+
+import requests
+from pyairtable import Api as AirtableApi
+from retry import retry
+
+from onyx.configs.app_configs import INDEX_BATCH_SIZE
+from onyx.configs.constants import DocumentSource
+from onyx.connectors.interfaces import GenerateDocumentsOutput
+from onyx.connectors.interfaces import LoadConnector
+from onyx.connectors.models import Document
+from onyx.connectors.models import Section
+from onyx.file_processing.extract_file_text import extract_file_text
+from onyx.file_processing.extract_file_text import get_file_ext
+from onyx.utils.logger import setup_logger
+
+logger = setup_logger()
+
+# NOTE: all are made lowercase to avoid case sensitivity issues
+# these are the field types that are considered metadata rather
+# than sections
+_METADATA_FIELD_TYPES = {
+    "singlecollaborator",
+    "collaborator",
+    "createdby",
+    "singleselect",
+    "multipleselects",
+    "checkbox",
+    "date",
+    "datetime",
+    "email",
+    "phone",
+    "url",
+    "number",
+    "currency",
+    "duration",
+    "percent",
+    "rating",
+    "createdtime",
+    "lastmodifiedtime",
+    "autonumber",
+    "rollup",
+    "lookup",
+    "count",
+    "formula",
+    "date",
+}
+
+
+class AirtableClientNotSetUpError(PermissionError):
+    def __init__(self) -> None:
+        super().__init__("Airtable Client is not set up, was load_credentials called?")
+
+
+class AirtableConnector(LoadConnector):
+    def __init__(
+        self,
+        base_id: str,
+        table_name_or_id: str,
+        batch_size: int = INDEX_BATCH_SIZE,
+    ) -> None:
+        self.base_id = base_id
+        self.table_name_or_id = table_name_or_id
+        self.batch_size = batch_size
+        self.airtable_client: AirtableApi | None = None
+
+    def load_credentials(self, credentials: dict[str, Any]) -> dict[str, Any] | None:
+        self.airtable_client = AirtableApi(credentials["airtable_access_token"])
+        return None
+
+    def _get_field_value(self, field_info: Any, field_type: str) -> list[str]:
+        """
+        Extract value(s) from a field regardless of its type.
+        Returns either a single string or list of strings for attachments.
+        """
+        if field_info is None:
+            return []
+
+        # skip references to other records for now (would need to do another
+        # request to get the actual record name/type)
+        # TODO: support this
+        if field_type == "multipleRecordLinks":
+            return []
+
+        if field_type == "multipleAttachments":
+            attachment_texts: list[str] = []
+            for attachment in field_info:
+                url = attachment.get("url")
+                filename = attachment.get("filename", "")
+                if not url:
+                    continue
+
+                @retry(
+                    tries=5,
+                    delay=1,
+                    backoff=2,
+                    max_delay=10,
+                )
+                def get_attachment_with_retry(url: str) -> bytes | None:
+                    attachment_response = requests.get(url)
+                    if attachment_response.status_code == 200:
+                        return attachment_response.content
+                    return None
+
+                attachment_content = get_attachment_with_retry(url)
+                if attachment_content:
+                    try:
+                        file_ext = get_file_ext(filename)
+                        attachment_text = extract_file_text(
+                            BytesIO(attachment_content),
+                            filename,
+                            break_on_unprocessable=False,
+                            extension=file_ext,
+                        )
+                        if attachment_text:
+                            attachment_texts.append(f"{filename}:\n{attachment_text}")
+                    except Exception as e:
+                        logger.warning(
+                            f"Failed to process attachment {filename}: {str(e)}"
+                        )
+            return attachment_texts
+
+        if field_type in ["singleCollaborator", "collaborator", "createdBy"]:
+            combined = []
+            collab_name = field_info.get("name")
+            collab_email = field_info.get("email")
+            if collab_name:
+                combined.append(collab_name)
+            if collab_email:
+                combined.append(f"({collab_email})")
+            return [" ".join(combined) if combined else str(field_info)]
+
+        if isinstance(field_info, list):
+            return [str(item) for item in field_info]
+
+        return [str(field_info)]
+
+    def _should_be_metadata(self, field_type: str) -> bool:
+        """Determine if a field type should be treated as metadata."""
+        return field_type.lower() in _METADATA_FIELD_TYPES
+
+    def _process_field(
+        self,
+        field_name: str,
+        field_info: Any,
+        field_type: str,
+        table_id: str,
+        record_id: str,
+    ) -> tuple[list[Section], dict[str, Any]]:
+        """
+        Process a single Airtable field and return sections or metadata.
+
+        Args:
+            field_name: Name of the field
+            field_info: Raw field information from Airtable
+            field_type: Airtable field type
+
+        Returns:
+            (list of Sections, dict of metadata)
+        """
+        if field_info is None:
+            return [], {}
+
+        # Get the value(s) for the field
+        field_values = self._get_field_value(field_info, field_type)
+        if len(field_values) == 0:
+            return [], {}
+
+        # Determine if it should be metadata or a section
+        if self._should_be_metadata(field_type):
+            if len(field_values) > 1:
+                return [], {field_name: field_values}
+            return [], {field_name: field_values[0]}
+
+        # Otherwise, create relevant sections
+        sections = [
+            Section(
+                link=f"https://airtable.com/{self.base_id}/{table_id}/{record_id}",
+                text=(
+                    f"{field_name}:\n"
+                    "------------------------\n"
+                    f"{text}\n"
+                    "------------------------"
+                ),
+            )
+            for text in field_values
+        ]
+        return sections, {}
+
+    def load_from_state(self) -> GenerateDocumentsOutput:
+        """
+        Fetch all records from the table.
+
+        NOTE: Airtable does not support filtering by time updated, so
+        we have to fetch all records every time.
+        """
+        if not self.airtable_client:
+            raise AirtableClientNotSetUpError()
+
+        table = self.airtable_client.table(self.base_id, self.table_name_or_id)
+        table_id = table.id
+        record_pages = table.iterate()
+
+        table_schema = table.schema()
+        # have to get the name from the schema, since the table object will
+        # give back the ID instead of the name if the ID is used to create
+        # the table object
+        table_name = table_schema.name
+        primary_field_name = None
+
+        # Find a primary field from the schema
+        for field in table_schema.fields:
+            if field.id == table_schema.primary_field_id:
+                primary_field_name = field.name
+                break
+
+        record_documents: list[Document] = []
+        for page in record_pages:
+            for record in page:
+                record_id = record["id"]
+                fields = record["fields"]
+                sections: list[Section] = []
+                metadata: dict[str, Any] = {}
+
+                # Possibly retrieve the primary field's value
+                primary_field_value = (
+                    fields.get(primary_field_name) if primary_field_name else None
+                )
+                for field_schema in table_schema.fields:
+                    field_name = field_schema.name
+                    field_val = fields.get(field_name)
+                    field_type = field_schema.type
+
+                    field_sections, field_metadata = self._process_field(
+                        field_name=field_name,
+                        field_info=field_val,
+                        field_type=field_type,
+                        table_id=table_id,
+                        record_id=record_id,
+                    )
+
+                    sections.extend(field_sections)
+                    metadata.update(field_metadata)
+
+                semantic_id = (
+                    f"{table_name}: {primary_field_value}"
+                    if primary_field_value
+                    else table_name
+                )
+
+                record_document = Document(
+                    id=f"airtable__{record_id}",
+                    sections=sections,
+                    source=DocumentSource.AIRTABLE,
+                    semantic_identifier=semantic_id,
+                    metadata=metadata,
+                )
+                record_documents.append(record_document)
+
+                if len(record_documents) >= self.batch_size:
+                    yield record_documents
+                    record_documents = []
+
+        if record_documents:
+            yield record_documents

backend/onyx/connectors/factory.py

@@ -5,6 +5,7 @@
 
 from onyx.configs.constants import DocumentSource
 from onyx.configs.constants import DocumentSourceRequiringTenantContext
+from onyx.connectors.airtable.airtable_connector import AirtableConnector
 from onyx.connectors.asana.connector import AsanaConnector
 from onyx.connectors.axero.connector import AxeroConnector
 from onyx.connectors.blob.connector import BlobStorageConnector
@@ -103,6 +104,7 @@ def identify_connector_class(
         DocumentSource.FRESHDESK: FreshdeskConnector,
         DocumentSource.FIREFLIES: FirefliesConnector,
         DocumentSource.EGNYTE: EgnyteConnector,
+        DocumentSource.AIRTABLE: AirtableConnector,
     }
     connector_by_source = connector_map.get(source, {})
 

backend/requirements/default.txt

@@ -23,6 +23,7 @@ httpcore==1.0.5
 httpx[http2]==0.27.0
 httpx-oauth==0.15.1
 huggingface-hub==0.20.1
+inflection==0.5.1
 jira==3.5.1
 jsonref==1.1.0
 trafilatura==1.12.2
@@ -43,6 +44,7 @@ openpyxl==3.1.2
 playwright==1.41.2
 psutil==5.9.5
 psycopg2-binary==2.9.9
+pyairtable==3.0.1
 pycryptodome==3.19.1
 pydantic==2.8.2
 PyGithub==1.58.2