Files
Aether/crates/aether-data/schema
fawney19 010ab127e2 feat: 扩展 cache creation token 细分统计与 effective_input_tokens 计费逻辑
- 新增 cache_creation_ephemeral_5m/1h_input_tokens 字段,区分不同 TTL 的缓存写入 token
- 引入 effective_input_tokens(扣除 cache read 后的有效输入 token),暴露给 usage 接口
- billing 规则生成器支持 5m/1h ephemeral cache 独立定价与分级计费
- usage_mapper 增加 Claude/Anthropic 格式映射,修复 OpenAI responses 格式字段兼容性
- 迁移逻辑增强:支持 checksum 容错、applied/pending 数量日志、逐步执行信息输出
- executor 抽离 LocalExecutionRequestOutcome 类型,统一 sync/stream 路径返回语义
- provider-transport auth 层新增 complete passthrough headers 构建逻辑
- 前端 usage 类型全面补充 effective_input_tokens、cache_creation_tokens、total_input_context 字段
2026-04-10 17:44:55 +08:00
..

Public Schema Snapshot

This directory stores a searchable snapshot of the current local Postgres public schema.

Purpose:

  • Make legacy Python-era columns discoverable without reverse-tracing every migration.
  • Keep migrations/20260403000000_baseline.sql as a no-op handoff point instead of stuffing the full legacy schema into a fake baseline.

Files:

  • current-public-tables.tsv: table_name, column_count
  • current-public-columns.tsv: table_name, ordinal_position, column_name, data_type, is_nullable, column_default, column_comment

Source:

  • Generated from the local aether Postgres database on 2026-04-10.

Refresh commands:

docker compose exec -T postgres psql -U postgres -d aether -At -F $'\t' -c "SELECT table_name, COUNT(*) FROM information_schema.columns WHERE table_schema = 'public' GROUP BY table_name ORDER BY table_name;"
docker compose exec -T postgres psql -U postgres -d aether -At -F $'\t' -c "SELECT c.table_name, c.ordinal_position, c.column_name, c.data_type, c.is_nullable, COALESCE(c.column_default, ''), COALESCE(pg_catalog.col_description((quote_ident(c.table_schema) || '.' || quote_ident(c.table_name))::regclass::oid, c.ordinal_position), '') FROM information_schema.columns c WHERE c.table_schema = 'public' ORDER BY c.table_name, c.ordinal_position;"

This snapshot is documentation only. Runtime code must still treat the actual database as source of truth.