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version 2.1.2
Build composable event pipeline servers with minimal effort.
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wishbone.encode.flatten
=======================
Version: 0.1.0
Flattens a dict structure of arbitrary depth into individual metric events.
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This module takes a <dict> structure and recursively travels it
flattening the namespace into a dotted format untill a numeric value
is encountered. For each metric a <wishbone.event.Metric>
datastructure is created and stored in the @data part of
<wishbone.event.Event>.
Non-numeric values are ignored.
For example:
{"server": {"host01": {"memory": {"free": 10, "consumed": 90}}}}
Would generate following metrics:
server.host01.memory.free
server.host01.memory.consumed
These metrics are converted to the Wishbone metric data format:
http://wishbone.readthedocs.org/en/latest/logs%20and%20metrics.html#format
The module is expecting a Python <dict> type. That means you should have
already decoded the incoming data using a module like wishbone.decode.json.
Parameters:
- type(str)("wishbone")
| An arbitrary string to assign to the "type" field of the Metric
| datastructure.
- source(str)("wishbone")
| An arbitrary string to assign to the "source" field of the Metric
| datastructure.
- tags(set)()
| An arbitrary set of tags assign to the "tags" field of the Metric
| datastructure.
Queues:
- inbox: Incoming events.
- outbox: Outgoing events with @data containing the wishbone.event.Metric data.
-
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A wishbone encode module which Flattens a dict structure of arbitrary depth into individual metric events.
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A wishbone encode module which Flattens a dict structure of arbitrary depth into individual metric events.
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