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A consumer that wants "how much is in flight" — a summary line, a badge, a health check — had to fetch the whole graph and tally it client-side, on every poll, in every consumer. `hive_jobq_wire::state_rollup` counts `roots` and their subtrees by state, straight off a `Graph<N, R>` with **no bound on either parameter**. A node's state is a scheduler concept, so counting by state needs to know nothing about what the payload or the resource are; bounding it like the projection does would make a host implement two display traits to be allowed to count, which is a requirement about rendering imposed on arithmetic. It takes the roots for the same reason `wire_snapshot` does — which groups are in view is the host's policy, and nothing is ever removed from a graph — so passing the same set makes the roll-up describe exactly the graph beside it. Each entry carries BOTH counts: `nodes` (the whole subtree) and `roots` (just the group tops). One rebuild is ~7 nodes and 1 root, so a summary meaning *operations* and one meaning *steps* are different numbers over the same queue, and picking one here would make this crate decide what counts as a job — the domain question it exists not to answer. It reports both structural facts; the viewer chooses. A pair, not a map: JSON object keys are strings, so a map would spell the state twice and give the wire no ordering. Every state rides with its zeros in a fixed order, so a consumer can index positionally and never handles a missing bucket. Tallying positionally against `ALL_STATES` means a new upstream `State` fails the exhaustive match in `state_index` rather than silently landing in an existing bucket. hive-c0re serves it at `GET /api/jobq/rollup`. The queue-side method is a call site, not an implementation: it supplies the lock and the same `visible_roots` as `graph_snapshot`, so the summary cannot describe a different visible set than the graph it summarises. |
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| Cargo.toml | ||
| README.md | ||
hive-c0re
The unprivileged host daemon (runs as hive-core). Owns the sqlite
broker, the approval/question/schedule queues, the generic job-DAG
queue, container lifecycle, gateway/forge/matrix provisioning,
per-container stats, and the axum operator dashboard. Largest crate in
the workspace — bin-only, no separate lib.
When to use it
Host-level, cross-container orchestration: spawning/rebuilding/
destroying agent containers, the approval flow, dashboard-visible
state, provisioning per-agent forge/matrix/gateway accounts. Agent-side
behavior (turn loop, MCP tools) lives in hive-agent/hive-agent-mcp
instead — this daemon only talks to agents over the socket wire types
in hive-sh4re.
Shape
Cohesive clusters live in directory submodules, each re-exported at
the crate root (crate::broker::… keeps resolving regardless of which
subdirectory a module actually lives in). One line each — read the
module's own //! doc-comment for real detail, don't expect this file
to track it:
dashboard/— the operator dashboard (containers, approvals, schedules, questions, logs, topology).job_queue/— the job-DAG queue + desired-state reconciliation (docs/coordinator.md).lifecycle/—nixos-containerlifecycle + per-agent config flake generation.stores/— sqlite-backed stores (broker, queues, audit, power).workers/— background sweeps (crash watch, scheduled prompts, auto-update, knowledge sync).agent_config/— per-agent registries (tool groups, capabilities, resource limits, topology).stats/— dashboard metrics aggregation + OTEL export.socket_server/— the unix-socket request server shared by per-agent + manager sockets.forge/— optional Forgejo wiring (docs/forge.md).coordinator.rs— top-level wiring forserve.meta.rs,migrate.rs— the meta flake + schema/state migrations.matrix.rs,gateway_nginx.rs,webhook_secret.rs,priv_client.rs— matrix provisioning, gateway vhosts, webhook secrets, and thehive-privclient respectively.
See the top-level CLAUDE.md/docs/ index for the full reading-path
map.