Fix: release pooled DB connection during AI LLM/embedding calls (#12983)

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Trenton H authored and GitHub committed 2026-06-11 13:07:31 -07:00
1 parent f188d308eb
commit 4394403beb
4 files changed
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@@ -8,6 +8,7 @@ from documents.models import Document
from documents.permissions import get_objects_for_user_owner_aware
from paperless.config import AIConfig
from paperless_ai.client import AIClient
from paperless_ai.db import db_connection_released
from paperless_ai.indexing import query_similar_documents
from paperless_ai.indexing import truncate_content
@@ -146,20 +147,23 @@ def get_ai_document_classification(
)
client = AIClient()
result = client.run_llm_query(prompt)
suggestions = parse_ai_response(result)
if output_language:
localized = client.run_llm_query(
build_localization_prompt(suggestions, output_language),
)
localized_suggestions = parse_ai_response(localized)
suggestions = {
**suggestions,
"title": localized_suggestions["title"] or suggestions["title"],
"tags": localized_suggestions["tags"] or suggestions["tags"],
"document_types": localized_suggestions["document_types"]
or suggestions["document_types"],
"storage_paths": localized_suggestions["storage_paths"]
or suggestions["storage_paths"],
}
# Hand the pooled DB connection back while the (slow) LLM query runs so it
# is not pinned for the call's duration; see paperless_ai.db and #12976.
with db_connection_released():
result = client.run_llm_query(prompt)
suggestions = parse_ai_response(result)
if output_language:
localized = client.run_llm_query(
build_localization_prompt(suggestions, output_language),
)
localized_suggestions = parse_ai_response(localized)
suggestions = {
**suggestions,
"title": localized_suggestions["title"] or suggestions["title"],
"tags": localized_suggestions["tags"] or suggestions["tags"],
"document_types": localized_suggestions["document_types"]
or suggestions["document_types"],
"storage_paths": localized_suggestions["storage_paths"]
or suggestions["storage_paths"],
}
return suggestions