chore: 汇总提交(园区资料/内容审核/任务相关)+迁移0019/0021及部署编排调整

alembic/versions/0019_content_review.py

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+"""资讯审核体系：cover_small 小封面 / priority 优先级
+
+Revision ID: 0019_content_review
+Revises: 0018_content_publish
+Create Date: 2026-08-27
+"""
+from __future__ import annotations
+
+import sqlalchemy as sa
+from alembic import op
+
+revision = "0019_content_review"
+down_revision = "0018_content_publish"
+branch_labels = None
+depends_on = None
+
+
+def upgrade() -> None:
+    op.add_column("content_items", sa.Column("cover_small", sa.String(), nullable=False, server_default=""))
+    op.add_column("content_items", sa.Column("priority", sa.Integer(), nullable=False, server_default="0"))
+
+
+def downgrade() -> None:
+    op.drop_column("content_items", "priority")
+    op.drop_column("content_items", "cover_small")

alembic/versions/0021_park_profile.py

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+"""园区企业/用户富资料：park_companies + users 加列
+
+Revision ID: 0021_park_profile
+Revises: 0020_task_multi_mode
+Create Date: 2026-08-27
+"""
+from __future__ import annotations
+
+import sqlalchemy as sa
+from alembic import op
+
+revision = "0021_park_profile"
+down_revision = "0020_task_multi_mode"
+branch_labels = None
+depends_on = None
+
+
+def upgrade() -> None:
+    # 企业丰富资料
+    for col in ["legal_person", "legal_phone", "registered_capital", "company_type",
+                "address", "contact_phone", "founded_at"]:
+        op.add_column("park_companies", sa.Column(col, sa.String(), nullable=False, server_default=""))
+    op.add_column("park_companies", sa.Column("honors", sa.Text(), nullable=False, server_default=""))
+    for col in ["emp_total", "emp_grad", "emp_layoff", "emp_veteran", "emp_migrant"]:
+        op.add_column("park_companies", sa.Column(col, sa.Integer(), nullable=True))
+    # 用户详细资料
+    for col in ["id_card", "ethnicity", "grad_school_major", "grad_time"]:
+        op.add_column("users", sa.Column(col, sa.String(), nullable=False, server_default=""))
+
+
+def downgrade() -> None:
+    for col in ["grad_time", "grad_school_major", "ethnicity", "id_card"]:
+        op.drop_column("users", col)
+    for col in ["emp_migrant", "emp_veteran", "emp_layoff", "emp_grad", "emp_total"]:
+        op.drop_column("park_companies", col)
+    for col in ["founded_at", "contact_phone", "address", "honors", "company_type",
+                "registered_capital", "legal_phone", "legal_person"]:
+        op.drop_column("park_companies", col)