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import redis
from ..helpers import parse_to_list
from .commands import (
ALTER_CMD,
CREATE_CMD,
CREATERULE_CMD,
DEL_CMD,
DELETERULE_CMD,
GET_CMD,
INFO_CMD,
MGET_CMD,
MRANGE_CMD,
MREVRANGE_CMD,
QUERYINDEX_CMD,
RANGE_CMD,
REVRANGE_CMD,
TimeSeriesCommands,
)
from .info import TSInfo
from .utils import parse_get, parse_m_get, parse_m_range, parse_range
class TimeSeries(TimeSeriesCommands):
"""
This class subclasses redis-py's `Redis` and implements RedisTimeSeries's
commands (prefixed with "ts").
The client allows to interact with RedisTimeSeries and use all of it's
functionality.
"""
def __init__(self, client=None, **kwargs):
"""Create a new RedisTimeSeries client."""
# Set the module commands' callbacks
self.MODULE_CALLBACKS = {
CREATE_CMD: redis.client.bool_ok,
ALTER_CMD: redis.client.bool_ok,
CREATERULE_CMD: redis.client.bool_ok,
DEL_CMD: int,
DELETERULE_CMD: redis.client.bool_ok,
RANGE_CMD: parse_range,
REVRANGE_CMD: parse_range,
MRANGE_CMD: parse_m_range,
MREVRANGE_CMD: parse_m_range,
GET_CMD: parse_get,
MGET_CMD: parse_m_get,
INFO_CMD: TSInfo,
QUERYINDEX_CMD: parse_to_list,
}
self.client = client
self.execute_command = client.execute_command
for key, value in self.MODULE_CALLBACKS.items():
self.client.set_response_callback(key, value)
def pipeline(self, transaction=True, shard_hint=None):
"""Creates a pipeline for the TimeSeries module, that can be used
for executing only TimeSeries commands and core commands.
Usage example:
r = redis.Redis()
pipe = r.ts().pipeline()
for i in range(100):
pipeline.add("with_pipeline", i, 1.1 * i)
pipeline.execute()
"""
if isinstance(self.client, redis.RedisCluster):
p = ClusterPipeline(
nodes_manager=self.client.nodes_manager,
commands_parser=self.client.commands_parser,
startup_nodes=self.client.nodes_manager.startup_nodes,
result_callbacks=self.client.result_callbacks,
cluster_response_callbacks=self.client.cluster_response_callbacks,
cluster_error_retry_attempts=self.client.cluster_error_retry_attempts,
read_from_replicas=self.client.read_from_replicas,
reinitialize_steps=self.client.reinitialize_steps,
lock=self.client._lock,
)
else:
p = Pipeline(
connection_pool=self.client.connection_pool,
response_callbacks=self.MODULE_CALLBACKS,
transaction=transaction,
shard_hint=shard_hint,
)
return p
class ClusterPipeline(TimeSeriesCommands, redis.cluster.ClusterPipeline):
"""Cluster pipeline for the module."""
class Pipeline(TimeSeriesCommands, redis.client.Pipeline):
"""Pipeline for the module."""
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