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import copy from threading import Lock from .metrics_core import Metric class CollectorRegistry(object): """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=False, target_info=None): self._collector_to_names = {} self._names_to_collectors = {} self._auto_describe = auto_describe self._lock = Lock() self._target_info = {} self.set_target_info(target_info) def register(self, collector): """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: {0}'.format( duplicates)) for name in names: self._names_to_collectors[name] = collector self._collector_to_names[collector] = names def unregister(self, collector): """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.""" 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(): for suffix in type_suffixes.get(metric.type, ['']): result.append(metric.name + suffix) return result def collect(self): """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: for metric in collector.collect(): yield metric def restricted_registry(self, names): """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) collectors = set() metrics = [] with self._lock: if 'target_info' in names and self._target_info: metrics.append(self._target_info_metric()) names.remove('target_info') for name in names: if name in self._names_to_collectors: collectors.add(self._names_to_collectors[name]) for collector in collectors: for metric in collector.collect(): samples = [s for s in metric.samples if s[0] in names] if samples: m = Metric(metric.name, metric.documentation, metric.type) m.samples = samples metrics.append(m) class RestrictedRegistry(object): def collect(self): return metrics return RestrictedRegistry() def set_target_info(self, labels): 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'] = None elif self._target_info: self._names_to_collectors.pop('target_info', None) self._target_info = labels def get_target_info(self): 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, labels=None): """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 REGISTRY = CollectorRegistry(auto_describe=True)