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## Summary Generated memory rows and their stage-one/stage-two job state currently live in `state_5.sqlite` alongside thread metadata. That makes memory cleanup and regeneration share the main state schema even though those rows are memory-pipeline data and can be rebuilt independently from the durable thread records. This PR moves the memory-owned tables into a dedicated `memories_1.sqlite` runtime database while keeping thread metadata in `state_5.sqlite`. ## Changes - Adds a separate memories DB runtime, migrator, path helpers, telemetry kind, and Bazel compile data for `state/memory_migrations`. - Introduces `MemoryStore` behind `StateRuntime::memories()` and moves memory table/job operations onto that store. - Drops the old memory tables from the state DB and recreates their schema in `state/memory_migrations/0001_memories.sql`. - Updates memory startup, citation usage tracking, rollout pollution handling, `debug clear-memories`, and app-server `memory/reset` to operate through the memories DB. - Preserves cross-DB behavior by hydrating thread metadata from the state DB when selecting visible memory outputs and checking stage-one staleness. ## Verification - Added/updated `codex-state` tests for deleted-thread memory visibility and already-polluted phase-two enqueue behavior. - Updated `debug clear-memories`, app-server `memory/reset`, and memories startup tests to seed and assert memory rows through `memories_1.sqlite`.
13 lines
265 B
Python
13 lines
265 B
Python
load("//:defs.bzl", "codex_rust_crate")
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codex_rust_crate(
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name = "state",
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crate_name = "codex_state",
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compile_data = glob([
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"goals_migrations/**",
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"logs_migrations/**",
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"memory_migrations/**",
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"migrations/**",
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]),
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)
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