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feat(endpoint): 端点默认 body_rules 机制与 Codex 规则回填
- EndpointDefinition 新增 default_body_rules 字段,openai:cli/compact 配置 Codex 默认规则
- 创建端点时若未指定 body_rules 则自动填充对应格式的默认值
- 新增 GET /defaults/{api_format}/body-rules 接口查询默认规则
- 前端 EndpointFormDialog 增加"重置请求体"按钮,支持一键恢复默认
- Alembic 迁移回填已有 Codex 端点的默认 body_rules
- 新增 metadata 和 endpoint 创建默认值的单元测试
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"""backfill_codex_default_body_rules
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Backfill default body_rules for openai:cli and openai:compact endpoints
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that currently have body_rules IS NULL.
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Rules:
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- drop max_output_tokens
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- drop temperature
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- drop top_p
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- set store = false
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- set instructions = "You are GPT-5." (when instructions not exists)
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Revision ID: dd0278c0a28c
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Revises: 1d2e3f4a5b6c
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Create Date: 2026-03-02 15:00:00.000000+00:00
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"""
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from __future__ import annotations
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import json
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import sqlalchemy as sa
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from alembic import op
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# revision identifiers, used by Alembic.
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revision = "dd0278c0a28c"
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down_revision = "1d2e3f4a5b6c"
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branch_labels = None
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depends_on = None
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_TARGET_FORMATS = ("openai:cli", "openai:compact")
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_DEFAULT_BODY_RULES = [
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{"action": "drop", "path": "max_output_tokens"},
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{"action": "drop", "path": "temperature"},
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{"action": "drop", "path": "top_p"},
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{"action": "set", "path": "store", "value": False},
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{
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"action": "set",
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"path": "instructions",
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"value": "You are GPT-5.",
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"condition": {"path": "instructions", "op": "not_exists"},
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},
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]
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def upgrade() -> None:
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conn = op.get_bind()
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# 幂等性: 仅回填 body_rules 为空(SQL NULL 或 JSON null)的记录
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rules_json = json.dumps(_DEFAULT_BODY_RULES, ensure_ascii=False)
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result = conn.execute(
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sa.text("""
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UPDATE provider_endpoints
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SET body_rules = CAST(:rules AS json),
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updated_at = CURRENT_TIMESTAMP
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WHERE api_format IN (:fmt1, :fmt2)
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AND (body_rules IS NULL OR body_rules::text = 'null')
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"""),
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{"rules": rules_json, "fmt1": _TARGET_FORMATS[0], "fmt2": _TARGET_FORMATS[1]},
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)
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if result.rowcount:
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print(f" backfilled body_rules for {result.rowcount} endpoint(s)")
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def downgrade() -> None:
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# Data backfill: no-op to avoid removing user-customized rules.
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return
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