two version of R2R are here HEAD master

1 files changed, 168 insertions, 0 deletions

diff --git a/.venv/lib/python3.12/site-packages/prometheus_client/registry.py b/.venv/lib/python3.12/site-packages/prometheus_client/registry.py
new file mode 100644
index 00000000..694e4bd8
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/prometheus_client/registry.py
@@ -0,0 +1,168 @@
+from abc import ABC, abstractmethod
+import copy
+from threading import Lock
+from typing import Dict, Iterable, List, Optional
+
+from .metrics_core import Metric
+
+
+# Ideally this would be a Protocol, but Protocols are only available in Python >= 3.8.
+class Collector(ABC):
+    @abstractmethod
+    def collect(self) -> Iterable[Metric]:
+        pass
+
+
+class _EmptyCollector(Collector):
+    def collect(self) -> Iterable[Metric]:
+        return []
+
+
+class CollectorRegistry(Collector):
+    """Metric collector registry.
+
+    Collectors must have a no-argument method 'collect' that returns a list of
+    Metric objects. The returned metrics should be consistent with the Prometheus
+    exposition formats.
+    """
+
+    def __init__(self, auto_describe: bool = False, target_info: Optional[Dict[str, str]] = None):
+        self._collector_to_names: Dict[Collector, List[str]] = {}
+        self._names_to_collectors: Dict[str, Collector] = {}
+        self._auto_describe = auto_describe
+        self._lock = Lock()
+        self._target_info: Optional[Dict[str, str]] = {}
+        self.set_target_info(target_info)
+
+    def register(self, collector: Collector) -> None:
+        """Add a collector to the registry."""
+        with self._lock:
+            names = self._get_names(collector)
+            duplicates = set(self._names_to_collectors).intersection(names)
+            if duplicates:
+                raise ValueError(
+                    'Duplicated timeseries in CollectorRegistry: {}'.format(
+                        duplicates))
+            for name in names:
+                self._names_to_collectors[name] = collector
+            self._collector_to_names[collector] = names
+
+    def unregister(self, collector: Collector) -> None:
+        """Remove a collector from the registry."""
+        with self._lock:
+            for name in self._collector_to_names[collector]:
+                del self._names_to_collectors[name]
+            del self._collector_to_names[collector]
+
+    def _get_names(self, collector):
+        """Get names of timeseries the collector produces and clashes with."""
+        desc_func = None
+        # If there's a describe function, use it.
+        try:
+            desc_func = collector.describe
+        except AttributeError:
+            pass
+        # Otherwise, if auto describe is enabled use the collect function.
+        if not desc_func and self._auto_describe:
+            desc_func = collector.collect
+
+        if not desc_func:
+            return []
+
+        result = []
+        type_suffixes = {
+            'counter': ['_total', '_created'],
+            'summary': ['_sum', '_count', '_created'],
+            'histogram': ['_bucket', '_sum', '_count', '_created'],
+            'gaugehistogram': ['_bucket', '_gsum', '_gcount'],
+            'info': ['_info'],
+        }
+        for metric in desc_func():
+            result.append(metric.name)
+            for suffix in type_suffixes.get(metric.type, []):
+                result.append(metric.name + suffix)
+        return result
+
+    def collect(self) -> Iterable[Metric]:
+        """Yields metrics from the collectors in the registry."""
+        collectors = None
+        ti = None
+        with self._lock:
+            collectors = copy.copy(self._collector_to_names)
+            if self._target_info:
+                ti = self._target_info_metric()
+        if ti:
+            yield ti
+        for collector in collectors:
+            yield from collector.collect()
+
+    def restricted_registry(self, names: Iterable[str]) -> "RestrictedRegistry":
+        """Returns object that only collects some metrics.
+
+        Returns an object which upon collect() will return
+        only samples with the given names.
+
+        Intended usage is:
+            generate_latest(REGISTRY.restricted_registry(['a_timeseries']))
+
+        Experimental."""
+        names = set(names)
+        return RestrictedRegistry(names, self)
+
+    def set_target_info(self, labels: Optional[Dict[str, str]]) -> None:
+        with self._lock:
+            if labels:
+                if not self._target_info and 'target_info' in self._names_to_collectors:
+                    raise ValueError('CollectorRegistry already contains a target_info metric')
+                self._names_to_collectors['target_info'] = _EmptyCollector()
+            elif self._target_info:
+                self._names_to_collectors.pop('target_info', None)
+            self._target_info = labels
+
+    def get_target_info(self) -> Optional[Dict[str, str]]:
+        with self._lock:
+            return self._target_info
+
+    def _target_info_metric(self):
+        m = Metric('target', 'Target metadata', 'info')
+        m.add_sample('target_info', self._target_info, 1)
+        return m
+
+    def get_sample_value(self, name: str, labels: Optional[Dict[str, str]] = None) -> Optional[float]:
+        """Returns the sample value, or None if not found.
+
+        This is inefficient, and intended only for use in unittests.
+        """
+        if labels is None:
+            labels = {}
+        for metric in self.collect():
+            for s in metric.samples:
+                if s.name == name and s.labels == labels:
+                    return s.value
+        return None
+
+
+class RestrictedRegistry:
+    def __init__(self, names: Iterable[str], registry: CollectorRegistry):
+        self._name_set = set(names)
+        self._registry = registry
+
+    def collect(self) -> Iterable[Metric]:
+        collectors = set()
+        target_info_metric = None
+        with self._registry._lock:
+            if 'target_info' in self._name_set and self._registry._target_info:
+                target_info_metric = self._registry._target_info_metric()
+            for name in self._name_set:
+                if name != 'target_info' and name in self._registry._names_to_collectors:
+                    collectors.add(self._registry._names_to_collectors[name])
+        if target_info_metric:
+            yield target_info_metric
+        for collector in collectors:
+            for metric in collector.collect():
+                m = metric._restricted_metric(self._name_set)
+                if m:
+                    yield m
+
+
+REGISTRY = CollectorRegistry(auto_describe=True)