pyrocko.squirrel¶
Prompt seismological data access with a fluffy tail.
This is the reference manual for the Squirrel framework. It describes the API
of the pyrocko.squirrel subpackage. For a conceptual overview see
Squirrel - Data access infrastructure. A tutorial describing the API usage is provided at
Examples: Squirrel powered data access.
Usage
Public symbols implemented in the various submodules are aggregated into the
pyrocko.squirrel namespace for use in user programs:
from pyrocko.squirrel import Squirrel
sq = Squirrel()
Implementation overview
The central class and interface of the framework is
Squirrel, part of it is implemented in its
base class Selection. Core
functionality directly talking to the database is implemented in
base, selection and
database. The data model of the framework is
implemented in model. User project environment
detection is implemented in environment. Portable
dataset description in dataset. A unified IO
interface bridging to various Pyrocko modules outside of the Squirrel framework
is available in io. Memory cache management is
implemented in cache. Compatibility with Pyrocko’s
older waveform archive access module is implemented in
pile.
Modules
Squirrel main classes. |
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Squirrel memory cacheing. |
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Functionality to check for common data/metadata problems. |
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Squirrel remote data access. |
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Database interface code. |
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Portable dataset description. |
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Manage separate databases and caches for different user projects. |
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Squirrel exception definitions. |
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Local file reading and indexing. |
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Directory locking utility. |
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Data model and content types handled by the Squirrel framework. |
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On-demand data processing pipelines. |
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Emulation of the older |
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Meta-data caching for flexible file selections. |
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Waveform data storage utilities. |
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Real-time streaming support. |
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Squirrel command line tools. |