Files
deepseek-harness/examples/acp-agent/tests/snapshot-normalize.ts
Tianyi Cui 81d434896d feat(acp-example): snapshot harness, normalizers, wiring, and handshake scenario
Adds the snapshot-test harness and the keyless replay pipeline end-to-end.

- snapshot-harness.ts: boots the real acp-agent subprocess via the cordis
  Loader (preserving TSX_TSCONFIG_PATH so unbuilt dsh-* imports resolve from a
  temp cwd), tees raw stdout into an SDK ClientSideConnection, interprets a
  per-scenario input.json DSL (initialize / newSession capturing the random
  sessionId / prompt / cancel), closes stdin to trigger graceful shutdown, and
  harvests the persisted session.jsonl. Failure-safe: a finally block SIGKILLs
  a live child, awaits its exit, and removes both temp dirs even on a thrown
  step or harvest. Raw bytes are buffered and decoded once (no multibyte split).
- snapshot-normalize.ts (+ spec): two pure normalizers (stdout frames + session
  JSONL) scrub cwd, session ids / UUIDs, and JSON-RPC ids, and zero time /
  createdAt — but keep `seq` (deterministic by contract). normalizeStdout throws
  on a non-JSON line (the stdout-purity check).
- start.ts: selects cordis.snapshot.yml (replay, providerless) or
  cordis.snapshot-record.yml (record, real adapter) from DSH_SNAPSHOT, skips
  .env in replay, and disposes the ctx on stdin end so persistence flushes
  before exit (harvest-after-flush, not on the prompt response).
- acp.snapshot.ts: asserts the normalized stdout golden (and, for model
  scenarios, the re-persisted JSONL golden) via toMatchFileSnapshot; record mode
  writes the harvested log back to the scenario fixture; an orphan-fixture guard
  fails on an unregistered scenario dir.
- handshake scenario: initialize + session/new (no model call; a header-only
  session.jsonl, since session/new persists no events).
- vitest.snapshot.config.ts, test:snapshot / test:snapshot:record scripts, a
  pre-push snapshot job, and the knip entry.

Incorporates Codex review: record-fixture writeback, failure-safe teardown,
seq-not-scrubbed, harvest-after-flush. Per docs/rfc/implemented/2026-06-19.
2026-06-19 03:36:12 +08:00

103 lines
4.5 KiB
TypeScript

/**
* Pure normalizers for the ACP snapshot goldens. They replace the
* non-deterministic values in the two captured surfaces — the stdout JSON-RPC
* transcript and the persisted session JSONL — with stable tokens, so a golden
* compare reflects behavior, not run-to-run noise. Kept dependency-free and
* side-effect-free so they unit-test trivially.
*
* Scrubbed: `randomUUID()` session ids → `{{sessionId}}`; the temp `mkdtemp`
* cwd → `{{cwd}}` (it appears in terminal-card `_meta` and the log header);
* JSON-RPC request `id` → a stable per-transcript sequence; the log's per-event
* `time` (epoch ms) and header `createdAt` → 0. NOT scrubbed: the log's `seq`
* (deterministic — `seq = log.length`, part of the event-log contract).
*
* See docs/rfc/implemented/2026-06-19-acp-snapshot-tests.md.
*/
const SESSION_ID = '{{sessionId}}'
const CWD = '{{cwd}}'
/** A UUID v4 string, the shape `randomUUID()` produces for session ids. */
const UUID_RE = /[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}/gi
/** Inputs the normalizers need to recognize a run's volatile values. */
export interface NormalizeContext {
/** The session id(s) the run issued — replaced with `{{sessionId}}`. */
sessionIds: string[]
/** The temp cwd the run used — replaced with `{{cwd}}`. */
cwd: string
}
/** Replace cwd, session ids, and any stray UUID with stable tokens in a string. */
function scrubString(value: string, ctx: NormalizeContext): string {
let out = value
// cwd first (longest, most specific), then explicit session ids, then any
// residual UUID (covers ids that appear in places we didn't enumerate).
out = out.split(ctx.cwd).join(CWD)
for (const id of ctx.sessionIds) out = out.split(id).join(SESSION_ID)
out = out.replace(UUID_RE, SESSION_ID)
return out
}
/** Recursively scrub a parsed JSON value (strings replaced; structure kept). */
function scrubValue(value: unknown, ctx: NormalizeContext): unknown {
if (typeof value === 'string') return scrubString(value, ctx)
if (Array.isArray(value)) return value.map(v => scrubValue(v, ctx))
if (value !== null && typeof value === 'object') {
const out: Record<string, unknown> = {}
for (const [k, v] of Object.entries(value)) out[k] = scrubValue(v, ctx)
return out
}
return value
}
/**
* Normalize a raw stdout transcript (newline-delimited JSON-RPC frames) into a
* stable, line-diffable golden: one pretty-printed frame per block, with the
* JSON-RPC `id` rewritten to a per-transcript sequence (1, 2, 3, …) and all
* volatile strings scrubbed. Throws if any non-empty line is not valid JSON —
* that doubles as the stdout-purity check (no logger leaked onto the protocol).
*/
export function normalizeStdout(rawStdout: string, ctx: NormalizeContext): string {
const lines = rawStdout.split('\n').filter(line => line.trim().length > 0)
// Map each distinct JSON-RPC id (request/response correlate by id) to a stable
// sequence number, in first-seen order, so id churn doesn't perturb the golden.
const idSeq = new Map<string, number>()
const stableId = (id: unknown): number => {
const key = JSON.stringify(id)
let n = idSeq.get(key)
if (n === undefined) { n = idSeq.size + 1; idSeq.set(key, n) }
return n
}
const frames = lines.map((line) => {
const frame = JSON.parse(line) as Record<string, unknown>
if ('id' in frame && frame.id !== undefined && frame.id !== null) {
frame.id = stableId(frame.id)
}
return scrubValue(frame, ctx) as Record<string, unknown>
})
return frames.map(f => JSON.stringify(f, null, 2)).join('\n') + '\n'
}
/**
* Normalize a session JSONL log into a stable golden: the header line's
* volatile fields (`createdAt`, `id`, `cwd`) and every event's `time` are
* zeroed/scrubbed, all volatile strings scrubbed, and `seq` is LEFT INTACT
* (deterministic by contract). One pretty-printed record per block.
*/
export function normalizeSessionLog(rawLog: string, ctx: NormalizeContext): string {
const lines = rawLog.split('\n').filter(line => line.trim().length > 0)
const records = lines.map((line) => {
const record = JSON.parse(line) as Record<string, unknown>
// Header line: { type: 'session', createdAt, id, cwd, … }.
if (record.type === 'session') {
if ('createdAt' in record) record.createdAt = 0
} else if ('time' in record) {
// Event line: zero the epoch-ms timestamp; keep seq (deterministic).
record.time = 0
}
return scrubValue(record, ctx) as Record<string, unknown>
})
return records.map(r => JSON.stringify(r, null, 2)).join('\n') + '\n'
}