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fix: tighten indexing pipeline exception handling and logging

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CREDO23 2026-02-25 17:44:35 +02:00
parent 5be58b78ad
commit 86ecb82c6e
3 changed files with 11 additions and 12 deletions
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7
surfsense_backend/app/indexing_pipeline/exceptions.py
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@ -38,7 +38,6 @@ EMBEDDING_ERRORS = (
RuntimeError, # local device failure or API backend normalization
OSError, # model files missing or corrupted (local backends)
MemoryError, # document too large for available RAM
ValueError, # invalid input to encode()
)
@ -57,13 +56,9 @@ class PipelineMessages:
LLM_UNPROCESSABLE = "Document exceeds the LLM context window even after optimization."
LLM_RESPONSE = "LLM returned an invalid response."
DB_TRANSIENT = "Database error during indexing. Will retry on next sync."
DB_SESSION_DEAD = "Database session is in an unrecoverable state."
EMBEDDING_FAILED = "Embedding failed. Check your embedding model configuration or service."
EMBEDDING_MODEL = "Embedding model files are missing or corrupted."
EMBEDDING_MEMORY = "Not enough memory to embed this document."
EMBEDDING_INPUT = "Document content is invalid for the embedding model."
CHUNKING_OVERFLOW = "Document structure is too deeply nested to chunk."
@ -121,8 +116,6 @@ def embedding_message(exc: Exception) -> str:
return PipelineMessages.EMBEDDING_MODEL
if isinstance(exc, MemoryError):
return PipelineMessages.EMBEDDING_MEMORY
if isinstance(exc, ValueError):
return PipelineMessages.EMBEDDING_INPUT
return safe_exception_message(exc)
except Exception:
return "Something went wrong when generating the embedding."