Web UI

dccd ships a small web UI — a dashboard to watch collection, browse stored data, run backfills and control streams without touching the CLI. It is a pure client of the HTTP API: every action is just an API call, so nothing is hidden from scripting.

Running it

dccd ui                     # UI + API only (no scheduler)
dccd start                  # full daemon: scheduler + streams + UI

dccd ui --host 0.0.0.0 --port 8080

Both read settings.ui_host / ui_port from the config. Requires the extra: pip install "dccd[daemon,ui]". Then open http://127.0.0.1:8080.

To protect it, set settings.ui_auth_token — the API then requires a bearer token and the UI injects it automatically. For untrusted networks, keep the default 127.0.0.1 bind and/or put it behind a reverse proxy.

Pages

Page	What it shows
Dashboard	Active runs with a live progress bar, recent run history, stream status, and a datasets summary.
Inventory	Every dataset on disk under data_path, grouped by exchange, with its row count and time range. Rows covered by a configured job are tagged ● job. Launch a backfill from the header or top-up a row’s history; order-book rows offer a one-shot Snapshot.
Jobs	Configured jobs grouped by exchange. Run now / Run all trigger one-shot backfills; Start / Stop control live streams.
Config	Edit settings / storage / alerts / jobs as a form (or raw JSON) and save back to config.yml — validated server-side.
Logs	A live console (SSE) that streams a running job’s log/progress/status, plus the recent-runs history with each run’s log tail.
Storage	On-disk dataset breakdown by exchange and the v2→v3 migration tool (dry-run first).

The backfill modal

Launching a backfill opens a modal that polls the run and shows live progress (percentage by time covered, the timestamp reached, and the row count). A long run — e.g. a day of trades is millions of rows — can be cancelled with Stop, which keeps everything already collected. The default last start uses a bounded look-back (short for trades) so a first click can’t trigger a runaway download.

Note

Inventory lists all data on disk, independent of your configured jobs (e.g. imported or migrated history). That is by design; the ● job tag marks the datasets actually covered by a job.