feat: add outputs field to message model and enhance advanced chat task pipeline
- Introduced `outputs` field in the Message model to store output data. - Updated `generate_task_pipeline.py` to handle and print outputs during task processing. - Enhanced the answer node components to utilize the new outputs field, including filtering and displaying output variables. - Added necessary adjustments in the TypeScript types for better integration with the new outputs functionality.pull/20921/head
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"""Update Message table outputs column to text and add outputs_dict property
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Revision ID: 83f1262d3f22
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Revises: 2adcbe1f5dfb
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Create Date: 2025-06-03 12:29:08.619582
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"""
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from alembic import op
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import models as models
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import sqlalchemy as sa
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# revision identifiers, used by Alembic.
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revision = '83f1262d3f22'
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down_revision = '2adcbe1f5dfb'
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branch_labels = None
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depends_on = None
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def upgrade():
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# ### commands auto generated by Alembic - please adjust! ###
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with op.batch_alter_table('messages', schema=None) as batch_op:
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batch_op.add_column(sa.Column('outputs', sa.Text(), server_default=sa.text("'{}'::text"), nullable=True))
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# ### end Alembic commands ###
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def downgrade():
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# ### commands auto generated by Alembic - please adjust! ###
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with op.batch_alter_table('messages', schema=None) as batch_op:
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batch_op.drop_column('outputs')
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# ### end Alembic commands ###
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@ -1,6 +1,7 @@
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import type { CommonNodeType, Variable } from '@/app/components/workflow/types'
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export type AnswerNodeType = CommonNodeType & {
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outputs: Variable[]
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variables: Variable[]
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answer: string
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}
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