HUQIANTAO
6f785c4bab
* refactor(palette): remove unused backward-compat aliases and add module docs - Remove DEEPSEEK_AQUA_RGB, DEEPSEEK_NAVY_RGB, DEEPSEEK_AQUA, DEEPSEEK_NAVY (unused backward-compatible aliases with no references in production code) - Add module-level doc comment explaining the three-layer palette organization: RGB tuples, semantic Color constants, and backward-compat aliases - Note that some constants are kept for design-system completeness * fix: remove deprecated color audit test (DEEPSEEK_AQUA no longer exists) * fix: remove unused import in palette_audit test --------- Co-authored-by: Hu Qiantao <huqiantao@HudeMacBook-Air.local>
crates/tui/tests/
Integration tests for the TUI binary. Per CONTRIBUTING.md, each crate's
integration tests live in its own tests/ directory; the repository-root
tests/ directory is unused.
Mock LLM client (integration_mock_llm.rs)
crates/tui/src/llm_client/mock.rs provides a MockLlmClient that implements
the LlmClient trait by replaying queue-driven canned responses and capturing
every outgoing MessageRequest. Tests mock at the trait boundary — never
at the reqwest HTTP layer — because the trait is the durable abstraction the
runtime is meant to depend on.
Coverage today exercises the trait surface end-to-end:
- streaming turn loop
- reasoning-content replay across tool-call rounds (V4 §5.1.1, the bug that broke v0.4.9-v0.5.1)
- tool-call round-trip with chunked input JSON
- multi-tool-call ordering inside a single turn
- compaction-style non-streaming
create_message - sub-agent style independent parent/child mocks
- capacity-gate observation of a captured request before stream drain
Four full-engine tests (engine_full_*) are #[ignore]-marked. They unblock
when core::engine::Engine is refactored to take Arc<dyn LlmClient> instead
of a concrete Option<DeepSeekClient>. See the comment block at the bottom of
integration_mock_llm.rs for the exact refactor surface.
--record mode for deepseek eval
The offline deepseek eval harness now accepts --record <DIR>. When set,
each tool step appends one JSON Lines record to <DIR>/<scenario>.jsonl
(default scenario: offline-tool-loop.jsonl). Each line is a self-contained
JSON object with the schema:
{ "request": { "step": "list_dir", "kind": "List" },
"response_events": [ { "type": "ok", "output": "…" } ] }
The mock LLM client (crate::llm_client::mock) replays these fixtures by
mapping each response_events array onto a canned Vec<StreamEvent>. Drop
generated fixtures into crates/tui/tests/fixtures/ so they ride the repo and
feed the mock in CI.
Quick example:
cargo run --bin deepseek -- eval --record crates/tui/tests/fixtures
cat crates/tui/tests/fixtures/offline-tool-loop.jsonl | jq .
The scenario name is sanitized to [A-Za-z0-9_-] before forming the filename,
so unusual scenario strings stay portable across platforms.