feat(prometheus-direct-charting): slice 1 — prom range query + chart rebrand

Add PrometheusWidgetSource._fetch_chart hitting /api/v1/query_range directly
(SC-101..104). New shared helpers in widgets/prometheus_range.py:
step_for_window (window preset -> step, ~200pts) and normalize_prometheus_matrix
(extracted label/dedup rule, retargeted at Prom matrix, robust to malformed
data). Chart widget kind moved grafana->prometheus in both registries;
GrafanaChartWidget renamed -> PrometheusChartWidget (git mv, recharts body
preserved). Grafana binding/service untouched (removed in slice 3).

Backend: 298 pytest pass, ruff clean. Frontend: 128 vitest pass, build+lint green.

backend/src/media_library_viewer_api/integrations/prometheus.py

@@ -25,6 +25,13 @@ class PrometheusMetricWidgetConfig(WidgetConfigBase):
     promql: str
 
 
+class PrometheusChartWidgetConfig(WidgetConfigBase):
+    """A PromQL range query rendered as a multi-series line chart (SC-101..SC-104)."""
+
+    promql: str
+    window: str = "1h"  # one of 1h / 6h / 24h / 7d (see WINDOW_PRESETS)
+
+
 DEFINITION = ServiceDefinition(
     service_type="prometheus",
     name="Prometheus",
@@ -42,5 +49,13 @@ DEFINITION = ServiceDefinition(
             default_config={"promql": ""},
             refresh_interval_ms=30_000,
         ),
+        widget_kind(
+            kind="chart",
+            name="Chart",
+            description="Multi-series line chart from a PromQL range query.",
+            model_cls=PrometheusChartWidgetConfig,
+            default_config={"promql": "", "window": "1h"},
+            refresh_interval_ms=60_000,
+        ),
     ],
 )

backend/src/media_library_viewer_api/widgets/prometheus_range.py

@@ -0,0 +1,97 @@
+"""Shared helpers for Prometheus range queries.
+
+These two pieces were called out by the spec's downstream-notes as needing a
+home: the step-derivation function (SC-104) and the series normalization helper
+(SC-102). Keeping them in their own module makes them unit-testable in isolation
+and reusable by the chart and mean widget paths (and, later, the in-service data
+path of the service-storage-harness change) without ``sources.py`` growing
+unbounded.
+
+``normalize_prometheus_matrix`` is a direct extraction of the metric-label →
+readable-label rule that previously lived inside the Grafana datasource-proxy
+path, retargeted at the native Prometheus ``/api/v1/query_range`` matrix shape so
+users migrating a ``grafana/chart`` widget to ``prometheus/chart`` see identical
+labels.
+"""
+
+from __future__ import annotations
+
+from typing import Any
+
+#: Window presets (SC-108, SC-112). Users pick one of these rather than typing
+#: raw ``from``/``to``/``step`` values. Values are window lengths in seconds.
+WINDOW_PRESETS: dict[str, int] = {
+    "1h": 3_600,
+    "6h": 21_600,
+    "24h": 86_400,
+    "7d": 604_800,
+}
+
+#: Sentinel values Prometheus serialises for non-finite floats; map these to
+#: ``None`` so the frontend renderer can skip them via ``connectNulls``.
+_NON_NUMERIC = (None, "NaN", "+Inf", "-Inf")
+
+
+def step_for_window(window_seconds: int, target_points: int = 200) -> int:
+    """Derive a scrape ``step`` for a window that yields ~``target_points`` samples.
+
+    Clamped to a minimum of 15 seconds so Prometheus does not reject
+    sub-15s resolutions on high-cardinality queries. The spec (SC-104) requires
+    the resulting point count to land in the 100–300 band; with
+    ``target_points=200`` every preset yields 200 points.
+    """
+    return max(15, round(window_seconds / target_points))
+
+
+def normalize_prometheus_matrix(result: list[dict[str, Any]]) -> list[dict[str, Any]]:
+    """Turn a Prometheus ``/api/v1/query_range`` ``data.result`` matrix into the
+    ``{label, points:[{t:int, v:float|None}]}`` series shape the frontend chart
+    renderer consumes.
+
+    Label rule (matches the removed Grafana path so labels are stable on
+    migration):
+
+    1. Drop ``__name__`` (and any other ``__``-prefixed) metric labels.
+    2. If labels remain, join them as ``k=v k=v`` (sorted for determinism).
+    3. Else fall back to ``"value"``.
+    4. Dedup label collisions with a `` (n)`` suffix.
+    """
+    series: list[dict[str, Any]] = []
+    seen: dict[str, int] = {}
+    for entry in result:
+        metric = entry.get("metric") or {}
+        values = entry.get("values") or []
+        parts = [f"{k}={v}" for k, v in sorted(metric.items()) if not str(k).startswith("__")]
+        label = " ".join(parts) if parts else "value"
+        if label in seen:
+            seen[label] += 1
+            label = f"{label} ({seen[label]})"
+        else:
+            seen[label] = 0
+        points: list[dict[str, Any]] = []
+        for ts, raw in values:
+            t = _safe_int(ts)
+            if t is None:
+                # Drop samples whose timestamp is unusable rather than raising.
+                continue
+            points.append({"t": t, "v": _safe_float(raw)})
+        series.append({"label": label, "points": points})
+    return series
+
+
+def _safe_float(raw: Any) -> float | None:
+    """Best-effort float conversion; Prometheus sentinels and junk → ``None``."""
+    if raw in _NON_NUMERIC:
+        return None
+    try:
+        return float(raw)
+    except (TypeError, ValueError):
+        return None
+
+
+def _safe_int(ts: Any) -> int | None:
+    """Best-effort int conversion for a Prometheus timestamp."""
+    try:
+        return int(float(ts))
+    except (TypeError, ValueError):
+        return None

backend/src/media_library_viewer_api/widgets/sources.py

@@ -12,6 +12,7 @@ from __future__ import annotations
 
 import asyncio
 import logging
+import time
 from dataclasses import dataclass, field
 from typing import Any, Protocol
 
@@ -25,6 +26,11 @@ from media_library_viewer_api.domain.dashboard import (
 from media_library_viewer_api.integrations.alertmanager import summarize_alerts
 from media_library_viewer_api.services.settings_store import SettingsStore, get_settings_store
 from media_library_viewer_api.services.task_runner import run_saved_task
+from media_library_viewer_api.widgets.prometheus_range import (
+    WINDOW_PRESETS,
+    normalize_prometheus_matrix,
+    step_for_window,
+)
 
 logger = logging.getLogger(__name__)
 
@@ -209,7 +215,7 @@ class GrafanaWidgetSource:
 
 
 class PrometheusWidgetSource:
-    """Run a PromQL instant query against a Prometheus service."""
+    """Run PromQL queries against a Prometheus service (instant + range)."""
 
     async def fetch(self, service: ServiceRecord | None, widget_kind: str, config: dict[str, Any]) -> dict[str, Any]:
         try:
@@ -217,6 +223,9 @@ class PrometheusWidgetSource:
                 return {"error": "Prometheus widget is missing its service"}
             base_url = str(service.config.get("base_url") or "").rstrip("/")
             timeout = int(service.config.get("timeout_seconds") or 10)
+            if widget_kind == "chart":
+                return await self._fetch_chart(base_url, timeout, config)
+            # Default: instant-query metric path (unchanged).
             promql = config.get("promql")
             if not promql:
                 return {"error": "promql is required"}
@@ -242,6 +251,47 @@ class PrometheusWidgetSource:
             logger.exception("prometheus adapter failed")
             return {"error": f"Prometheus query failed: {exc}"}
 
+    async def _range_query(self, base_url: str, timeout: int, promql: str, window: int) -> dict[str, Any]:
+        """Run a Prometheus ``/api/v1/query_range`` over a window (seconds).
+
+        Shared by the ``chart`` (SC-101) and ``mean`` widget kinds. Returns
+        ``{"matrix": result}`` on success or ``{"error": str}`` (never raises,
+        per SC-103).
+        """
+        step = step_for_window(window)
+        end = int(time.time())
+        start = end - window
+        try:
+            response = await asyncio.wait_for(
+                asyncio.to_thread(
+                    requests.get,
+                    f"{base_url}/api/v1/query_range",
+                    params={"query": promql, "start": start, "end": end, "step": step},
+                    timeout=timeout,
+                ),
+                timeout=timeout,
+            )
+            response.raise_for_status()
+            payload = response.json()
+        except asyncio.TimeoutError:
+            return {"error": "Prometheus query timed out"}
+        except requests.RequestException as exc:
+            logger.exception("prometheus range query failed")
+            return {"error": f"Prometheus query failed: {exc}"}
+        result = payload.get("data", {}).get("result", [])
+        return {"matrix": result}
+
+    async def _fetch_chart(self, base_url: str, timeout: int, config: dict[str, Any]) -> dict[str, Any]:
+        """Range query → ``{series}`` for the chart widget (SC-101..SC-104)."""
+        promql = config.get("promql")
+        if not promql:
+            return {"error": "promql is required"}
+        window = WINDOW_PRESETS.get(config.get("window", "1h"), WINDOW_PRESETS["1h"])
+        raw = await self._range_query(base_url, timeout, promql, window)
+        if "error" in raw:
+            return raw
+        return {"series": normalize_prometheus_matrix(raw["matrix"])}
+
 
 class AlertmanagerWidgetSource:
     """Fetch firing alerts from an Alertmanager service and summarize them."""