welcome to onyx

This commit is contained in:
pablodanswer
2024-12-13 09:48:43 -08:00
parent 54dcbfa288
commit 21ec5ed795
813 changed files with 7021 additions and 6824 deletions

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