mirror of
https://github.com/danswer-ai/danswer.git
synced 2025-04-08 11:58:34 +02:00
Feature/model server logging (#3579)
* improve model server logging * improve exception logging with provider/model names * get everything into one log line --------- Co-authored-by: Richard Kuo <rkuo@rkuo.com>
This commit is contained in:
parent
d1ec72b5e5
commit
03acb6587a
@ -1,5 +1,6 @@
|
||||
import asyncio
|
||||
import json
|
||||
import time
|
||||
from types import TracebackType
|
||||
from typing import cast
|
||||
from typing import Optional
|
||||
@ -320,8 +321,6 @@ async def embed_text(
|
||||
api_url: str | None,
|
||||
api_version: str | None,
|
||||
) -> list[Embedding]:
|
||||
logger.info(f"Embedding {len(texts)} texts with provider: {provider_type}")
|
||||
|
||||
if not all(texts):
|
||||
logger.error("Empty strings provided for embedding")
|
||||
raise ValueError("Empty strings are not allowed for embedding.")
|
||||
@ -330,8 +329,17 @@ async def embed_text(
|
||||
logger.error("No texts provided for embedding")
|
||||
raise ValueError("No texts provided for embedding.")
|
||||
|
||||
start = time.monotonic()
|
||||
|
||||
total_chars = 0
|
||||
for text in texts:
|
||||
total_chars += len(text)
|
||||
|
||||
if provider_type is not None:
|
||||
logger.debug(f"Using cloud provider {provider_type} for embedding")
|
||||
logger.info(
|
||||
f"Embedding {len(texts)} texts with {total_chars} total characters with provider: {provider_type}"
|
||||
)
|
||||
|
||||
if api_key is None:
|
||||
logger.error("API key not provided for cloud model")
|
||||
raise RuntimeError("API key not provided for cloud model")
|
||||
@ -363,8 +371,16 @@ async def embed_text(
|
||||
logger.error(error_message)
|
||||
raise ValueError(error_message)
|
||||
|
||||
elapsed = time.monotonic() - start
|
||||
logger.info(
|
||||
f"Successfully embedded {len(texts)} texts with {total_chars} total characters "
|
||||
f"with provider {provider_type} in {elapsed:.2f}"
|
||||
)
|
||||
elif model_name is not None:
|
||||
logger.debug(f"Using local model {model_name} for embedding")
|
||||
logger.info(
|
||||
f"Embedding {len(texts)} texts with {total_chars} total characters with local model: {model_name}"
|
||||
)
|
||||
|
||||
prefixed_texts = [f"{prefix}{text}" for text in texts] if prefix else texts
|
||||
|
||||
local_model = get_embedding_model(
|
||||
@ -382,13 +398,17 @@ async def embed_text(
|
||||
for embedding in embeddings_vectors
|
||||
]
|
||||
|
||||
elapsed = time.monotonic() - start
|
||||
logger.info(
|
||||
f"Successfully embedded {len(texts)} texts with {total_chars} total characters "
|
||||
f"with local model {model_name} in {elapsed:.2f}"
|
||||
)
|
||||
else:
|
||||
logger.error("Neither model name nor provider specified for embedding")
|
||||
raise ValueError(
|
||||
"Either model name or provider must be provided to run embeddings."
|
||||
)
|
||||
|
||||
logger.info(f"Successfully embedded {len(texts)} texts")
|
||||
return embeddings
|
||||
|
||||
|
||||
@ -440,7 +460,8 @@ async def process_embed_request(
|
||||
) -> EmbedResponse:
|
||||
if not embed_request.texts:
|
||||
raise HTTPException(status_code=400, detail="No texts to be embedded")
|
||||
elif not all(embed_request.texts):
|
||||
|
||||
if not all(embed_request.texts):
|
||||
raise ValueError("Empty strings are not allowed for embedding.")
|
||||
|
||||
try:
|
||||
@ -471,9 +492,12 @@ async def process_embed_request(
|
||||
detail=str(e),
|
||||
)
|
||||
except Exception as e:
|
||||
exception_detail = f"Error during embedding process:\n{str(e)}"
|
||||
logger.exception(exception_detail)
|
||||
raise HTTPException(status_code=500, detail=exception_detail)
|
||||
logger.exception(
|
||||
f"Error during embedding process: provider={embed_request.provider_type} model={embed_request.model_name}"
|
||||
)
|
||||
raise HTTPException(
|
||||
status_code=500, detail=f"Error during embedding process: {e}"
|
||||
)
|
||||
|
||||
|
||||
@router.post("/cross-encoder-scores")
|
||||
|
Loading…
x
Reference in New Issue
Block a user