build: 打通 FastAPI 与 Vue 最小工程、依赖与数据库连接
后端入口、配置、Redis 与 Alembic 迁移就位;前端 Vite 工程可安装可构建。
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"""
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Copyright 2024-2026 ChatterMate
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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"""
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"""add_teamid_to_agent_sessions
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Revision ID: 0cf5fa1db0cb
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Revises: 91a148726029
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Create Date: 2025-03-21 13:57:55.161703
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"""
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from typing import Sequence, Union
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from alembic import op
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import sqlalchemy as sa
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# revision identifiers, used by Alembic.
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revision: str = '0cf5fa1db0cb'
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down_revision: Union[str, None] = '91a148726029'
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branch_labels: Union[str, Sequence[str], None] = None
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depends_on: Union[str, Sequence[str], None] = None
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def upgrade() -> None:
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# Check if 'ai' schema and agent_sessions table exist before attempting to modify
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conn = op.get_bind()
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# Check if schema exists
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schema_result = conn.execute(sa.text("SELECT schema_name FROM information_schema.schemata WHERE schema_name = 'ai'"))
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schema_exists = schema_result.fetchone() is not None
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if not schema_exists:
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print("Schema 'ai' does not exist, skipping migration")
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return
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# Check if table exists
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table_result = conn.execute(sa.text(
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"SELECT table_name FROM information_schema.tables WHERE table_schema = 'ai' AND table_name = 'agent_sessions'"
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))
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table_exists = table_result.fetchone() is not None
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if table_exists:
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# Add team_id column to ai.agent_sessions table
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op.add_column('agent_sessions',
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sa.Column('team_id', sa.UUID(), nullable=True),
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schema='ai'
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)
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else:
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print("Table 'ai.agent_sessions' does not exist, skipping migration")
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def downgrade() -> None:
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# Check if 'ai' schema and agent_sessions table exist before attempting to modify
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conn = op.get_bind()
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# Check if schema exists
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schema_result = conn.execute(sa.text("SELECT schema_name FROM information_schema.schemata WHERE schema_name = 'ai'"))
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schema_exists = schema_result.fetchone() is not None
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if not schema_exists:
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print("Schema 'ai' does not exist, skipping migration rollback")
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return
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# Check if table exists
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table_result = conn.execute(sa.text(
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"SELECT table_name FROM information_schema.tables WHERE table_schema = 'ai' AND table_name = 'agent_sessions'"
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))
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table_exists = table_result.fetchone() is not None
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if table_exists:
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# Drop team_id column from ai.agent_sessions table
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op.drop_column('agent_sessions', 'team_id', schema='ai')
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else:
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print("Table 'ai.agent_sessions' does not exist, skipping migration rollback")
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