212 lines
7.3 KiB
Python
212 lines
7.3 KiB
Python
from __future__ import annotations
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from collections.abc import Mapping
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import htpy as h
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from htpy import Node, Renderable
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from repub.components import (
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admin_sidebar,
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header_action_link,
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inline_button,
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inline_link,
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muted_action_link,
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stat_card,
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status_badge,
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)
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def _text(values: Mapping[str, object], key: str) -> str:
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return str(values[key])
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def _running_execution_row(execution: Mapping[str, object]) -> tuple[Node, ...]:
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status_tone = "running" if _text(execution, "status") != "Succeeded" else "done"
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return (
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h.div[
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h.div(class_="font-semibold text-slate-950")[_text(execution, "source")],
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h.p(class_="mt-0.5 font-mono text-[11px] text-slate-500")[
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_text(execution, "slug")
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],
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],
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h.div[
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h.p(class_="font-medium text-slate-900")[
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f"#{_text(execution, 'execution_id')}"
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],
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h.p(class_="mt-0.5 text-[11px] text-slate-500")[
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f"job {_text(execution, 'job_id')}"
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],
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],
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h.div[
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h.p(class_="font-medium text-slate-900")[_text(execution, "started_at")],
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h.p(class_="mt-0.5 text-[11px] text-slate-500")[
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_text(execution, "runtime")
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],
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],
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status_badge(label=_text(execution, "status"), tone=status_tone),
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h.div(class_="min-w-56 whitespace-normal")[
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h.p(class_="font-medium text-slate-900")[_text(execution, "stats")],
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h.p(class_="mt-0.5 text-[11px] text-slate-500")[_text(execution, "worker")],
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],
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h.div(class_="flex flex-nowrap items-center gap-3")[
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inline_link(
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href=_text(execution, "log_href"),
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label="View log",
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tone="amber",
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),
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inline_button(label="Stop", tone="danger"),
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],
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)
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def dashboard_header() -> Renderable:
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return h.section[
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h.div(
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class_="flex flex-col gap-4 sm:flex-row sm:items-start sm:justify-between"
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)[
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h.div[
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h.h1(class_="text-3xl font-semibold tracking-tight text-slate-950")[
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"Republisher"
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],
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h.p(class_="mt-1 text-sm text-slate-600")[
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"Operational status and live executions."
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],
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],
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h.div(class_="flex flex-wrap gap-2")[
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header_action_link(href="/sources/create", label="Create source"),
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muted_action_link(href="/sources", label="View sources"),
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],
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]
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]
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def operational_snapshot(*, snapshot: Mapping[str, str] | None = None) -> Renderable:
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values = snapshot or {
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"running_now": "0",
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"upcoming_today": "0",
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"failures_24h": "0",
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"artifact_footprint": "0 B",
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}
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return h.section[
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h.div(class_="mb-3 flex items-end justify-between gap-4")[
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h.div[
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h.p(
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class_="text-xs font-semibold uppercase tracking-[0.22em] text-slate-500"
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)["Overview"],
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h.h2(class_="mt-1 text-xl font-semibold tracking-tight text-slate-950")[
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"Operational snapshot"
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],
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],
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h.p(class_="text-xs text-slate-500")["Live values from the database"],
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],
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h.dl(class_="grid gap-3 md:grid-cols-2 xl:grid-cols-4")[
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stat_card(
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label="Running now",
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value=values["running_now"],
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detail="Currently active job executions.",
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),
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stat_card(
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label="Upcoming today",
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value=values["upcoming_today"],
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detail="Enabled jobs that are ready for their next run.",
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),
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stat_card(
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label="Failures in 24h",
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value=values["failures_24h"],
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detail="Recent failed executions recorded by the scheduler.",
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),
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stat_card(
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label="Artifact footprint",
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value=values["artifact_footprint"],
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detail="Current artifact size under the output path.",
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),
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],
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]
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def running_executions_table(
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*, running_executions: tuple[Mapping[str, object], ...] | None = None
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) -> Renderable:
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rows = tuple(
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_running_execution_row(execution) for execution in (running_executions or ())
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)
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headers = ("Source", "Execution", "Started", "Status", "Stats", "Actions")
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def render_row(row: tuple[Node, ...]) -> Renderable:
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first_cell, *other_cells = row
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return h.tr(class_="align-top")[
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h.td(class_="py-3 pr-6 pl-4 text-sm font-medium text-slate-950 sm:pl-4")[
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first_cell
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],
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(
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h.td(
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class_="px-3 py-3 align-top text-sm whitespace-nowrap text-slate-600"
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)[cell]
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for cell in other_cells
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),
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]
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return h.section[
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h.div(class_="mb-3 flex items-end justify-between gap-4")[
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h.div[
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h.p(
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class_="text-xs font-semibold uppercase tracking-[0.22em] text-amber-600"
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)["Live work"],
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h.h2(class_="mt-1 text-xl font-semibold text-slate-950")[
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"Running executions"
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],
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h.p(class_="mt-1 text-sm text-slate-600")[
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"Dashboard keeps only the in-flight executions visible here. The full run history lives on the Runs page."
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],
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],
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muted_action_link(href="/runs", label="Open runs"),
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],
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h.div(
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class_="overflow-hidden rounded-2xl bg-white shadow-sm ring-1 ring-slate-200"
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)[
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h.div(class_="overflow-x-auto")[
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h.table(
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class_="w-full min-w-[70rem] divide-y divide-slate-200 table-auto"
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)[
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h.thead(class_="bg-stone-50")[
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h.tr[
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(
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h.th(
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scope="col",
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class_="px-3 py-2.5 text-left text-[11px] font-semibold uppercase tracking-[0.18em] whitespace-nowrap text-slate-500 first:pl-4",
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)[header]
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for header in headers
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)
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]
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],
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h.tbody(class_="divide-y divide-slate-200 bg-white")[
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(render_row(row) for row in rows)
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],
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]
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]
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],
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]
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def dashboard_page() -> Renderable:
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return dashboard_page_with_data()
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def dashboard_page_with_data(
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*,
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snapshot: Mapping[str, str] | None = None,
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running_executions: tuple[Mapping[str, object], ...] | None = None,
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) -> Renderable:
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return h.main(
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id="morph",
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class_="min-h-screen lg:grid lg:grid-cols-[18rem_minmax(0,1fr)]",
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)[
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admin_sidebar(current_path="/"),
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h.div(class_="px-4 py-4 sm:px-5 lg:px-6 lg:py-5")[
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h.div(class_="mx-auto max-w-7xl space-y-5")[
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dashboard_header(),
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operational_snapshot(snapshot=snapshot),
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running_executions_table(running_executions=running_executions),
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]
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],
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]
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