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- from ..helpers import nativestr
- from .utils import list_to_dict
- class TSInfo:
- """
- Hold information and statistics on the time-series.
- Can be created using ``tsinfo`` command
- https://redis.io/docs/latest/commands/ts.info/
- """
- rules = []
- labels = []
- sourceKey = None
- chunk_count = None
- memory_usage = None
- total_samples = None
- retention_msecs = None
- last_time_stamp = None
- first_time_stamp = None
- max_samples_per_chunk = None
- chunk_size = None
- duplicate_policy = None
- def __init__(self, args):
- """
- Hold information and statistics on the time-series.
- The supported params that can be passed as args:
- rules:
- A list of compaction rules of the time series.
- sourceKey:
- Key name for source time series in case the current series
- is a target of a rule.
- chunkCount:
- Number of Memory Chunks used for the time series.
- memoryUsage:
- Total number of bytes allocated for the time series.
- totalSamples:
- Total number of samples in the time series.
- labels:
- A list of label-value pairs that represent the metadata
- labels of the time series.
- retentionTime:
- Retention time, in milliseconds, for the time series.
- lastTimestamp:
- Last timestamp present in the time series.
- firstTimestamp:
- First timestamp present in the time series.
- maxSamplesPerChunk:
- Deprecated.
- chunkSize:
- Amount of memory, in bytes, allocated for data.
- duplicatePolicy:
- Policy that will define handling of duplicate samples.
- Can read more about on
- https://redis.io/docs/latest/develop/data-types/timeseries/configuration/#duplicate_policy
- """
- response = dict(zip(map(nativestr, args[::2]), args[1::2]))
- self.rules = response.get("rules")
- self.source_key = response.get("sourceKey")
- self.chunk_count = response.get("chunkCount")
- self.memory_usage = response.get("memoryUsage")
- self.total_samples = response.get("totalSamples")
- self.labels = list_to_dict(response.get("labels"))
- self.retention_msecs = response.get("retentionTime")
- self.last_timestamp = response.get("lastTimestamp")
- self.first_timestamp = response.get("firstTimestamp")
- if "maxSamplesPerChunk" in response:
- self.max_samples_per_chunk = response["maxSamplesPerChunk"]
- self.chunk_size = (
- self.max_samples_per_chunk * 16
- ) # backward compatible changes
- if "chunkSize" in response:
- self.chunk_size = response["chunkSize"]
- if "duplicatePolicy" in response:
- self.duplicate_policy = response["duplicatePolicy"]
- if type(self.duplicate_policy) == bytes:
- self.duplicate_policy = self.duplicate_policy.decode()
- def get(self, item):
- try:
- return self.__getitem__(item)
- except AttributeError:
- return None
- def __getitem__(self, item):
- return getattr(self, item)
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