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welcome to onyx
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backend/onyx/connectors/fireflies/__init__.py
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backend/onyx/connectors/fireflies/__init__.py
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backend/onyx/connectors/fireflies/connector.py
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backend/onyx/connectors/fireflies/connector.py
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from collections.abc import Iterator
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from datetime import datetime
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from datetime import timezone
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from typing import List
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import requests
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from onyx.configs.app_configs import INDEX_BATCH_SIZE
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from onyx.configs.constants import DocumentSource
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from onyx.connectors.interfaces import GenerateDocumentsOutput
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from onyx.connectors.interfaces import LoadConnector
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from onyx.connectors.interfaces import PollConnector
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from onyx.connectors.interfaces import SecondsSinceUnixEpoch
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from onyx.connectors.models import BasicExpertInfo
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from onyx.connectors.models import ConnectorMissingCredentialError
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from onyx.connectors.models import Document
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from onyx.connectors.models import Section
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from onyx.utils.logger import setup_logger
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logger = setup_logger()
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_FIREFLIES_ID_PREFIX = "FIREFLIES_"
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_FIREFLIES_API_URL = "https://api.fireflies.ai/graphql"
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_FIREFLIES_TRANSCRIPT_QUERY_SIZE = 50 # Max page size is 50
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_FIREFLIES_API_QUERY = """
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query Transcripts($fromDate: DateTime, $toDate: DateTime, $limit: Int!, $skip: Int!) {
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transcripts(fromDate: $fromDate, toDate: $toDate, limit: $limit, skip: $skip) {
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id
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title
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host_email
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participants
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date
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transcript_url
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sentences {
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text
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speaker_name
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}
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}
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}
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"""
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def _create_doc_from_transcript(transcript: dict) -> Document | None:
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meeting_text = ""
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sentences = transcript.get("sentences", [])
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if sentences:
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for sentence in sentences:
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meeting_text += sentence.get("speaker_name") or "Unknown Speaker"
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meeting_text += ": " + sentence.get("text", "") + "\n\n"
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else:
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return None
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meeting_link = transcript["transcript_url"]
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fireflies_id = _FIREFLIES_ID_PREFIX + transcript["id"]
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meeting_title = transcript["title"] or "No Title"
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meeting_date_unix = transcript["date"]
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meeting_date = datetime.fromtimestamp(meeting_date_unix / 1000, tz=timezone.utc)
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meeting_host_email = transcript["host_email"]
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host_email_user_info = [BasicExpertInfo(email=meeting_host_email)]
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meeting_participants_email_list = []
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for participant in transcript.get("participants", []):
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if participant != meeting_host_email and participant:
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meeting_participants_email_list.append(BasicExpertInfo(email=participant))
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return Document(
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id=fireflies_id,
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sections=[
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Section(
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link=meeting_link,
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text=meeting_text,
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)
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],
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source=DocumentSource.FIREFLIES,
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semantic_identifier=meeting_title,
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metadata={},
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doc_updated_at=meeting_date,
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primary_owners=host_email_user_info,
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secondary_owners=meeting_participants_email_list,
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)
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class FirefliesConnector(PollConnector, LoadConnector):
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def __init__(self, batch_size: int = INDEX_BATCH_SIZE) -> None:
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self.batch_size = batch_size
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def load_credentials(self, credentials: dict[str, str]) -> None:
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api_key = credentials.get("fireflies_api_key")
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if not isinstance(api_key, str):
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raise ConnectorMissingCredentialError(
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"The Fireflies API key must be a string"
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)
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self.api_key = api_key
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return None
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def _fetch_transcripts(
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self, start_datetime: str | None = None, end_datetime: str | None = None
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) -> Iterator[List[dict]]:
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if self.api_key is None:
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raise ConnectorMissingCredentialError("Missing API key")
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headers = {
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"Content-Type": "application/json",
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"Authorization": "Bearer " + self.api_key,
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}
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skip = 0
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variables: dict[str, int | str] = {
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"limit": _FIREFLIES_TRANSCRIPT_QUERY_SIZE,
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}
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if start_datetime:
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variables["fromDate"] = start_datetime
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if end_datetime:
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variables["toDate"] = end_datetime
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while True:
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variables["skip"] = skip
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response = requests.post(
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_FIREFLIES_API_URL,
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headers=headers,
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json={"query": _FIREFLIES_API_QUERY, "variables": variables},
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)
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response.raise_for_status()
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if response.status_code == 204:
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break
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recieved_transcripts = response.json()
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parsed_transcripts = recieved_transcripts.get("data", {}).get(
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"transcripts", []
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)
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yield parsed_transcripts
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if len(parsed_transcripts) < _FIREFLIES_TRANSCRIPT_QUERY_SIZE:
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break
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skip += _FIREFLIES_TRANSCRIPT_QUERY_SIZE
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def _process_transcripts(
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self, start: str | None = None, end: str | None = None
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) -> GenerateDocumentsOutput:
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doc_batch: List[Document] = []
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for transcript_batch in self._fetch_transcripts(start, end):
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for transcript in transcript_batch:
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if doc := _create_doc_from_transcript(transcript):
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doc_batch.append(doc)
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if len(doc_batch) >= self.batch_size:
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yield doc_batch
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doc_batch = []
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if doc_batch:
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yield doc_batch
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def load_from_state(self) -> GenerateDocumentsOutput:
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return self._process_transcripts()
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def poll_source(
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self, start_unixtime: SecondsSinceUnixEpoch, end_unixtime: SecondsSinceUnixEpoch
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) -> GenerateDocumentsOutput:
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start_datetime = datetime.fromtimestamp(
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start_unixtime, tz=timezone.utc
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).strftime("%Y-%m-%dT%H:%M:%S.000Z")
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end_datetime = datetime.fromtimestamp(end_unixtime, tz=timezone.utc).strftime(
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"%Y-%m-%dT%H:%M:%S.000Z"
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)
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yield from self._process_transcripts(start_datetime, end_datetime)
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