@cfxlabsinc/b2b-services
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    Root of the customer class hierarchy: owns the one customer-search cache, the seam that busts it, and the serialization that defines the cached shape.

    Customer has a single read surface — CustomerService has always served both consumer and admin callers — so there is one keyPrefix, "customer".

    Hierarchy (View Summary)

    Index
    • Parameters

      • args: { keyPrefix: SearchCacheKeyPrefix; valkeyClient: ValkeyClient | null }

      Returns CustomerCache

    cache: ServiceCache<CachedSearchPage<CachedCustomer>>
    • Drop this customer's cached reads.

      Lives here rather than on the writer because it's the cache's own concern — it names the folded-get keys and the customer tag — so both the reader (CustomerQueryService) and the writer (CustomerService) inherit it. The actual caller is customerOnboardingActivities (@cfxlabsinc/onboarding-services), which calls this once a primary organization exists for the customer: a customer is invisible to get/search until its primary org exists, so every read taken earlier in onboarding cached a negative entry with a 24h L2 TTL, and this is what clears it.

      Parameters

      • __namedParameters: { id: string }

      Returns Promise<void>

    • Bust every cached page — consumer or admin — that a write touching customerIds could have affected.

      The collection tag is always cleared alongside, because an unscoped admin page carries only that tag and no customer id can reach it.

      keys deletes exact entries in addition to the tag surgery, passing the key arguments — this cache hashes and prefixes them. It exists because invalidateTag resolves keys through the FT index, which does not exist in memory mode (valkeyClient: null); there the tag bust is a total no-op, and an exact-key delete is the only thing that keeps read-after-write honest. Services that folded get onto search pass that get's arguments.

      These deletes only reach this instance's own key space, because the key space is partitioned per surface. That is sufficient, and a writer must not try to name the other surface's key:

      • With Valkey, the other surface's get entry is itself tagged (by customer id, or by the collection tag when unscoped), so the tag bust above already evicts it from the shared L2 and publishes the peer eviction.
      • Without Valkey, the two surfaces are separate instances with separate L1 maps, so deleting a key from this instance could never have affected the other one anyway.

      Parameters

      • __namedParameters: { customerIds: readonly string[]; keys?: readonly CacheKey[] }

      Returns Promise<void>

    • Tags to write on a page, derived from the scope the query searched — never from the customers present in the result.

      That distinction is load-bearing. An entry tagged with the customer ids in the page carries no tags when the page is empty, so nothing can ever bust it and a later create leaves it stale for the full L2 TTL. Tagging by scope means an empty page still carries the tag for what it searched.

      An unscoped read falls back to the collection tag, since no customer-id tag can reach a row whose owner did not exist when the entry was written.

      Parameters

      • __namedParameters: { customerIds: readonly string[] | undefined }

      Returns string[]

    • The exact cache key CustomerQueryService.get({ id }) reads through.

      get folds onto search, so its entry is an ordinary single-row search page — these args must stay identical to the ones get passes ({ ids: [id], pageSize: 1 }, plus search's page default of 1). Every other filter is undefined there, and serviceCacheKey canonicalizes with JCS, which drops undefined properties, so naming only the three that are set produces the same digest. customerCache.test.ts pins the equivalence.

      Returns the key arguments; the cache hashes and surface-prefixes them. Never pre-hash at a call site.

      Parameters

      • __namedParameters: { id: string }

      Returns Record<string, unknown>