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from util.generic.string cimport TString, TStringBuf
from util.generic.ptr cimport THolder
from cython.operator cimport dereference as deref
import sys
from datetime import datetime
from os import dup
if sys.version_info.major >= 3:
from datetime import timezone
EPOCH_AWARE = datetime.fromtimestamp(0, tz=timezone.utc)
EPOCH_NAIVE = EPOCH_AWARE.replace(tzinfo=None)
else:
EPOCH_NAIVE = datetime.utcfromtimestamp(0)
cdef extern from "util/stream/fwd.h" nogil:
cdef cppclass TAdaptivelyBuffered[T]:
TAdaptivelyBuffered(TFile) except +
ctypedef TAdaptivelyBuffered[TUnbufferedFileOutput] TFileOutput
cdef extern from "util/stream/mem.h" nogil:
cdef cppclass TMemoryInput:
TMemoryInput(const TStringBuf buf)
cdef extern from "util/stream/file.h" nogil:
cdef cppclass TUnbufferedFileOutput:
TUnbufferedFileOutput(TFile)
cdef cppclass TFileInput:
TFileInput(TFile) except +
cdef extern from "util/stream/str.h" nogil:
cdef cppclass TStringStream:
const TString& Str() const
cdef class Encoder:
cdef IMetricEncoder* native(self):
return self.__wrapped.Get()
def close(self):
deref(self.__wrapped.Get()).Close()
def dumps(self):
return (<TStringStream&?>deref(self.__stream.Get())).Str()
cdef _make_stream(self, py_stream):
if py_stream is not None:
fd = Duplicate(py_stream.fileno())
self.__file.Reset(new TFile(fd))
f = self.__file.Get()
self.__stream.Reset(<IOutputStream*>(new TFileOutput(deref(f))))
else:
self.__stream.Reset(<IOutputStream*>(new TStringStream()))
@staticmethod
cdef Encoder create_spack(object stream, ETimePrecision precision, ECompression compression):
cdef Encoder wrapper = Encoder.__new__(Encoder)
wrapper._make_stream(stream)
wrapper.__wrapped = EncoderSpackV1(wrapper.__stream.Get(),
precision,
compression)
return wrapper
@staticmethod
cdef Encoder create_json(object stream, int indent):
cdef Encoder wrapper = Encoder.__new__(Encoder)
wrapper._make_stream(stream)
wrapper.__wrapped = EncoderJson(wrapper.__stream.Get(), indent)
return wrapper
cpdef Encoder create_json_encoder(object stream, int indent):
return Encoder.create_json(stream, indent)
cdef class TimePrecision:
Millis = <int>MILLIS
Seconds = <int>SECONDS
@staticmethod
cdef ETimePrecision to_native(int p) except *:
if p == TimePrecision.Millis:
return MILLIS
elif p == TimePrecision.Seconds:
return SECONDS
raise ValueError('Unsupported TimePrecision value')
cdef class Compression:
Identity = <int>IDENTITY
Lz4 = <int>LZ4
Zlib = <int>ZLIB
Zstd = <int>ZSTD
@staticmethod
cdef ECompression to_native(int p) except *:
if p == Compression.Identity:
return IDENTITY
elif p == Compression.Lz4:
return LZ4
elif p == Compression.Zlib:
return ZLIB
elif p == Compression.Zstd:
return ZSTD
raise ValueError('Unsupported Compression value')
# XXX: timestamps
def dump(registry, fp, format='spack', **kwargs):
"""
Dumps metrics held by the metric registry to a file. Output can be additionally
adjusted using kwargs, which may differ depending on the selected format.
:param registry: Metric registry object
:param fp: File descriptor to serialize to
:param format: Format to serialize to (allowed values: spack). Default: json
Keyword arguments:
:param time_precision: Time precision (spack)
:param compression: Compression codec (spack)
:param indent: Pretty-print indentation for object members and arrays (json)
:param timestamp: Metric timestamp datetime
:returns: Nothing
"""
if not hasattr(fp, 'fileno'):
raise TypeError('Expected a file-like object, but got ' + str(type(fp)))
if format == 'spack':
time_precision = TimePrecision.to_native(kwargs.get('time_precision', TimePrecision.Seconds))
compression = Compression.to_native(kwargs.get('compression', Compression.Identity))
encoder = Encoder.create_spack(fp, time_precision, compression)
elif format == 'json':
indent = int(kwargs.get('indent', 0))
encoder = Encoder.create_json(fp, indent)
timestamp = kwargs.get('timestamp', EPOCH_NAIVE)
registry.accept(timestamp, encoder)
encoder.close()
def dumps(registry, format='spack', **kwargs):
"""
Dumps metrics held by the metric registry to a string. Output can be additionally
adjusted using kwargs, which may differ depending on the selected format.
:param registry: Metric registry object
:param format: Format to serialize to (allowed values: spack). Default: json
Keyword arguments:
:param time_precision: Time precision (spack)
:param compression: Compression codec (spack)
:param indent: Pretty-print indentation for object members and arrays (json)
:param timestamp: Metric timestamp datetime
:returns: A string of the specified format
"""
if format == 'spack':
time_precision = TimePrecision.to_native(kwargs.get('time_precision', TimePrecision.Seconds))
compression = Compression.to_native(kwargs.get('compression', Compression.Identity))
encoder = Encoder.create_spack(None, time_precision, compression)
elif format == 'json':
indent = int(kwargs.get('indent', 0))
encoder = Encoder.create_json(None, indent)
timestamp = kwargs.get('timestamp', EPOCH_NAIVE)
registry.accept(timestamp, encoder)
encoder.close()
s = encoder.dumps()
return s
def load(fp, from_format='spack', to_format='json'):
"""
Converts metrics from one format to another.
:param fp: File to load data from
:param from_format: Source string format (allowed values: json, spack, unistat). Default: spack
:param to_format: Target format (allowed values: json, spack). Default: json
:returns: a string containing metrics in the specified format
"""
if from_format == to_format:
return fp.read()
cdef THolder[TFile] file
file.Reset(new TFile(Duplicate(fp.fileno())))
cdef THolder[TFileInput] input
input.Reset(new TFileInput(deref(file.Get())))
if to_format == 'json':
encoder = Encoder.create_json(None, 0)
elif to_format == 'spack':
encoder = Encoder.create_spack(None, SECONDS, IDENTITY)
else:
raise ValueError('Unsupported format ' + to_format)
if from_format == 'spack':
DecodeSpackV1(<IInputStream*>(input.Get()), <IMetricConsumer*?>encoder.native())
elif from_format == 'json':
s = open(fp, 'r').read()
DecodeJson(TStringBuf(s), <IMetricConsumer*?>encoder.native())
elif from_format == 'unistat':
s = open(fp, 'r').read()
DecodeJson(TStringBuf(s), <IMetricConsumer*?>encoder.native())
else:
raise ValueError('Unsupported format ' + from_format)
encoder.close()
s = encoder.dumps()
return s
def loads(s, from_format='spack', to_format='json', compression=Compression.Identity):
"""
Converts metrics from one format to another.
:param s: String to load from
:param from_format: Source string format (allowed values: json, spack, unistat). Default: spack
:param to_format: Target format (allowed values: json, spack). Default: json
:returns: a string containing metrics in the specified format
"""
if from_format == to_format:
return s
if sys.version_info[0] >= 3 and not isinstance(s, bytes):
s = s.encode('iso-8859-15')
cdef THolder[TMemoryInput] input
if to_format == 'json':
encoder = Encoder.create_json(None, 0)
elif to_format == 'spack':
comp = Compression.to_native(compression)
encoder = Encoder.create_spack(None, SECONDS, comp)
else:
raise ValueError('Unsupported format ' + to_format)
if from_format == 'spack':
input.Reset(new TMemoryInput(s))
DecodeSpackV1(<IInputStream*>(input.Get()), <IMetricConsumer*?>encoder.native())
elif from_format == 'json':
DecodeJson(TStringBuf(s), <IMetricConsumer*?>encoder.native())
elif from_format == 'unistat':
DecodeUnistat(TStringBuf(s), <IMetricConsumer*?>encoder.native())
else:
raise ValueError('Unsupported format ' + from_format)
encoder.close()
s = encoder.dumps()
return s
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