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fix(SQLAlchemyDataLayer): Fix sqlite json columns #1817

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fix(SQLAlchemyDataLayer): Fix sqlite json columns #1817

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16 changes: 10 additions & 6 deletions backend/chainlit/data/sql_alchemy.py
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Original file line number Diff line number Diff line change
Expand Up @@ -637,14 +637,18 @@ async def get_all_user_threads(
for thread in user_threads:
thread_id = thread["thread_id"]
if thread_id is not None:
# SQLite returns JSON as string, we most convert it.
thread_metadata = thread.get("thread_metadata", {})
if isinstance(thread_metadata, str):
thread_metadata = json.loads(thread_metadata)
thread_dicts[thread_id] = ThreadDict(
id=thread_id,
createdAt=thread["thread_createdat"],
name=thread["thread_name"],
userId=thread["user_id"],
userIdentifier=thread["user_identifier"],
tags=thread["thread_tags"],
metadata=thread["thread_metadata"],
metadata=thread_metadata,
steps=[],
elements=[],
)
Expand All @@ -661,6 +665,10 @@ async def get_all_user_threads(
value=step_feedback["feedback_value"],
comment=step_feedback.get("feedback_comment"),
)
# SQLite returns JSON as string, we most convert it.
step_metadata = step_feedback.get("step_metadata", {})
if isinstance(step_metadata, str):
step_metadata = json.loads(step_metadata)
step_dict = StepDict(
id=step_feedback["step_id"],
name=step_feedback["step_name"],
Expand All @@ -670,11 +678,7 @@ async def get_all_user_threads(
streaming=step_feedback.get("step_streaming", False),
waitForAnswer=step_feedback.get("step_waitforanswer"),
isError=step_feedback.get("step_iserror"),
metadata=(
step_feedback["step_metadata"]
if step_feedback.get("step_metadata") is not None
else {}
),
metadata=step_metadata,
tags=step_feedback.get("step_tags"),
input=(
step_feedback.get("step_input", "")
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