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from .utils import list_to_dict
from ..helpers import nativestr
class TSInfo(object):
"""
Hold information and statistics on the time-series.
Can be created using ``tsinfo`` command
https://oss.redis.com/redistimeseries/commands/#tsinfo.
"""
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://oss.redis.com/redistimeseries/configuration/#duplicate_policy
"""
response = dict(zip(map(nativestr, args[::2]), args[1::2]))
self.rules = response["rules"]
self.source_key = response["sourceKey"]
self.chunk_count = response["chunkCount"]
self.memory_usage = response["memoryUsage"]
self.total_samples = response["totalSamples"]
self.labels = list_to_dict(response["labels"])
self.retention_msecs = response["retentionTime"]
self.lastTimeStamp = response["lastTimestamp"]
self.first_time_stamp = response["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()
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