https://github.com/annotation/text-fabric
Tip revision: eaebe1d98ed790dd0ace153faf759eb162d3037b authored by Dirk Roorda on 27 April 2018, 08:50:44 UTC
New minor release 3.4.4
New minor release 3.4.4
Tip revision: eaebe1d
data.py
import os
import pickle
import gzip
import collections
import time
from datetime import datetime
from .helpers import (
setFromSpec, valueFromTf, tfFromValue, specFromRanges, rangesFromSet
)
ERROR_CUTOFF = 20
GZIP_LEVEL = 2
PICKLE_PROTOCOL = 4
WARP = (
'otype',
'oslots',
'otext',
)
DATA_TYPES = ('str', 'int')
class Data(object):
def __init__(
self,
path,
tm,
edgeValues=False,
data=None,
isEdge=None,
isConfig=None,
metaData={},
method=None,
dependencies=None
):
(dirName, baseName) = os.path.split(path)
(fileName, extension) = os.path.splitext(baseName)
self.path = path
self.tm = tm
self.dirName = dirName
self.fileName = fileName
self.extension = extension
self.binDir = '{}/.tf'.format(dirName)
self.binPath = '{}/{}.tfx'.format(self.binDir, self.fileName)
self.edgeValues = edgeValues
self.isEdge = isEdge
self.isConfig = isConfig
self.metaData = metaData
self.method = method
self.dependencies = dependencies
self.data = data
self.dataLoaded = False
self.dataError = False
self.dataType = 'str'
def load(self, metaOnly=False, silent=False):
self.tm.indent(level=1, reset=True)
origTime = self._getModified()
binTime = self._getModified(bin=True)
sourceRep = ', '.join(
dep.fileName for dep in self.dependencies
) if self.method else self.dirName
msgFormat = '{:<1} {:<20} from {}'
actionRep = ''
good = True
if self.dataError:
# there has been an error in an earlier
# computation/compiling/loading of this feature
actionRep = 'E'
good = False
elif self.dataLoaded and (
self.isConfig or (not origTime or self.dataLoaded >= origTime) and
(not binTime or self.dataLoaded >= binTime)
):
actionRep = '=' # loaded and up to date
elif not origTime and not binTime:
actionRep = 'X' # no source and no binary present
good = False
else:
if not origTime:
actionRep = 'b'
good = self._readDataBin()
elif not binTime or origTime > binTime:
actionRep = 'C' if self.method else 'T'
good = self._compute() if self.method else self._readTf(
metaOnly=metaOnly
)
if good:
if self.isConfig or metaOnly:
actionRep = 'M'
else:
self._writeDataBin()
else:
actionRep = 'B'
good = True if self.method else self._readTf(metaOnly=True)
if good:
if self.isConfig or metaOnly:
actionRep = 'M'
else:
good = self._readDataBin()
if self.isConfig:
self.cleanDataBin()
if good:
if actionRep != '=':
self.tm.info(
msgFormat.format(actionRep, self.fileName, sourceRep),
cache=1 if (not silent) or (actionRep in 'CT') else -1,
)
else:
self.dataError = True
self.tm.error(
msgFormat.format(actionRep, self.fileName, sourceRep)
)
return good
def unload(self):
self.data = None
self.dataLoaded = False
def save(self, overwrite=False, nodeRanges=False):
return self._writeTf(overwrite=overwrite, nodeRanges=nodeRanges)
def _setDataType(self):
if self.isConfig:
return
if 'valueType' in self.metaData:
dataType = self.metaData['valueType']
if dataType not in DATA_TYPES:
self.tm.error(
'Unknown @valueType: "{}". Should be one of {}'.format(
dataType,
','.join(DATA_TYPES),
)
)
self.dataType = DATA_TYPES[0]
else:
self.dataType = dataType
else:
self.tm.error(
'Missing @valueType. Should be one of {}'.format(
','.join(DATA_TYPES),
)
)
self.dataType = DATA_TYPES[0]
def _readTf(self, metaOnly=False):
path = self.path
if not os.path.exists(path):
self.tm.error(
'TF reading: feature file "{}" does not exist'.format(path)
)
return False
fh = open(path, encoding='utf8')
i = 0
self.metaData = {}
self.isConfig = False
for line in fh:
i += 1
if i == 1:
text = line.rstrip()
if text == '@edge':
self.isEdge = True
elif text == '@node':
self.isEdge = False
elif text == '@config':
self.isConfig = True
else:
self.tm.error(
'Line {}: missing @node/@edge/@config'.format(i)
)
fh.close()
return False
continue
text = line.rstrip('\n')
if len(text) and text[0] == '@':
if text == '@edgeValues':
self.edgeValues = True
continue
fields = text[1:].split('=', 1)
self.metaData[fields[0]
] = fields[1] if len(fields) == 2 else None
continue
else:
if text != '':
self.tm.error(
'Line {}: missing blank line after metadata'.format(i)
)
fh.close()
return False
else:
break
self._setDataType()
good = True
if not metaOnly and not self.isConfig:
good = self._readDataTf(fh, i)
fh.close()
return good
def _readDataTf(self, fh, firstI):
errors = collections.defaultdict(list)
i = firstI
implicit_node = 1
data = {}
isEdge = self.isEdge
edgeValues = self.edgeValues
normFields = 3 if isEdge and edgeValues else 2
isNum = self.dataType == 'int'
for line in fh:
i += 1
fields = line.rstrip('\n').split('\t')
lfields = len(fields)
if lfields > normFields:
errors['wrongFields'].append(i)
continue
if lfields == normFields:
nodes = setFromSpec(fields[0])
if isEdge:
if fields[1] == '':
errors['emptyNode2Spec'].append(i)
continue
nodes2 = setFromSpec(fields[1])
if not isEdge or edgeValues:
valTf = fields[-1]
else:
if isEdge:
if edgeValues:
if lfields == normFields - 1:
nodes = {implicit_node}
nodes2 = setFromSpec(fields[0])
valTf = fields[-1]
elif lfields == normFields - 2:
nodes = {implicit_node}
if fields[0] == '':
errors['emptyNode2Spec'].append(i)
continue
nodes2 = setFromSpec(fields[0])
valTf = ''
else:
nodes = {implicit_node}
valTf = ''
errors['emptyNode2Spec'].append(i)
continue
else:
if lfields == normFields - 1:
nodes = {implicit_node}
if fields[0] == '':
errors['emptyNode2Spec'].append(i)
continue
nodes2 = setFromSpec(fields[0])
else:
nodes = {implicit_node}
errors['emptyNode2Spec'].append(i)
continue
else:
nodes = {implicit_node}
if lfields == 1:
valTf = fields[0]
else:
valTf = ''
implicit_node = max(nodes) + 1
if not isEdge or edgeValues:
value = (
int(valTf) if isNum and valTf != '' else None
if isNum else '' if valTf == '' else valueFromTf(valTf)
)
if isEdge:
for n in nodes:
for m in nodes2:
if not edgeValues:
data.setdefault(n, set()).add(m)
else:
data.setdefault(
n, {}
)[m] = value # even if the value is None
else:
for n in nodes:
if value is not None:
data[n] = value
for kind in errors:
lnk = len(errors[kind])
self.tm.error(
'{} in lines {}'.format(
kind,
','.join(str(ln) for ln in errors[kind][0:ERROR_CUTOFF])
)
)
if lnk > ERROR_CUTOFF:
self.tm.error(
'\t and {} more cases'.format(lnk - ERROR_CUTOFF),
tm=False
)
self.data = data
if not errors:
if self.fileName == WARP[0]:
slotType = data[1]
otype = []
maxSlot = 1
for n in sorted(data):
if data[n] == slotType:
maxSlot = n
continue
otype.append(data[n])
otype.append(slotType)
otype.append(maxSlot)
self.data = tuple(otype)
elif self.fileName == WARP[1]:
slotsList = sorted(data)
maxSlot = min(data.keys()) - 1
oslots = []
for n in slotsList:
oslots.append(tuple(sorted(data[n])))
oslots.append(maxSlot)
self.data = tuple(oslots)
return not errors
def _compute(self):
good = True
for feature in self.dependencies:
if not feature.load():
good = False
if not good:
return False
def info(msg, tm=True):
self.tm.info(cmpFormat.format(msg), tm=tm, cache=-1)
cmpFormat = 'c {:<20} {{}}'.format(self.fileName)
self.tm.indent(level=2, reset=True)
def error(msg, tm=True):
self.tm.error(cmpFormat.format(msg), tm=tm)
self.data = self.method(
info, error, *[
dep.metaData if dep.fileName == WARP[2] else dep.data
for dep in self.dependencies
]
)
good = self.data is not None
if good:
self.dataLoaded = time.time()
return good
def _writeTf(
self,
dirName=None,
fileName=None,
overwrite=True,
extension=None,
metaOnly=False,
nodeRanges=False
):
self.tm.indent(level=1, reset=True)
metaOnly = metaOnly or self.isConfig
dirName = dirName or self.dirName
fileName = fileName or self.fileName
extension = extension or self.extension
if not os.path.exists(dirName):
try:
os.makedirs(dirName, exist_ok=True)
except Exception:
self.tm.error('Cannot create directory "{}"'.format(dirName))
return False
fpath = '{}/{}{}'.format(dirName, fileName, extension)
if fpath == self.path:
if os.path.exists(fpath):
if not overwrite:
self.tm.error((
'Feature file "{}" already exists,'
' feature will not be written'
).format(fpath))
return False
try:
fh = open(fpath, 'w', encoding='utf8')
except Exception:
self.tm.error('Cannot write to feature file "{}"'.format(fpath))
return False
fh.write(
'@{}\n'.format(
'config' if self.isConfig else 'edge'
if self.isEdge else 'node'
)
)
if self.edgeValues:
fh.write('@edgeValues\n')
for meta in sorted(self.metaData):
fh.write('@{}={}\n'.format(meta, self.metaData[meta]))
fh.write('@writtenBy=Text-Fabric\n')
fh.write(
'@dateWritten={}\n'.
format(datetime.utcnow().replace(microsecond=0).isoformat() + 'Z')
)
fh.write('\n')
self._setDataType()
good = True
if not metaOnly:
good = self._writeDataTf(fh, nodeRanges=nodeRanges)
fh.close()
msgFormat = '{:<1} {:<20} to {}'
if good:
self.tm.info(
msgFormat.format('M' if metaOnly else 'T', fileName, dirName)
)
else:
self.tm.error(
msgFormat.format('M' if metaOnly else 'T', fileName, dirName)
)
return good
def _writeDataTf(self, fh, nodeRanges=False):
data = self.data
if type(data) is tuple:
maxSlot = data[-1]
if self.fileName == WARP[0]:
data = dict(((k + 1 + maxSlot, data[k])
for k in range(0,
len(data) - 2)))
elif self.fileName == WARP[1]:
data = dict(((k + 1 + maxSlot, data[k])
for k in range(0,
len(data) - 1)))
edgeValues = self.edgeValues
if self.isEdge:
implicitNode = 1
for n in sorted(data):
thisData = data[n]
sets = {}
if edgeValues:
for m in thisData:
sets.setdefault(thisData[m], set()).add(m)
for (value, mset) in sorted(sets.items()):
nodeSpec2 = specFromRanges(rangesFromSet(mset))
nodeSpec = '' if n == implicitNode else n
implicitNode = n + 1
if value is None:
fh.write(
'{}{}{}\n'.format(
nodeSpec,
'\t' if nodeSpec else '',
nodeSpec2,
)
)
else:
fh.write(
'{}{}{}\t{}\n'.format(
nodeSpec,
'\t' if nodeSpec else '',
nodeSpec2,
tfFromValue(value),
)
)
else:
nodeSpec2 = specFromRanges(rangesFromSet(thisData))
nodeSpec = '' if n == implicitNode else n
implicitNode = n + 1
fh.write(
'{}{}{}\n'.format(
nodeSpec, '\t' if nodeSpec else '', nodeSpec2
)
)
else:
sets = {}
if nodeRanges:
for n in sorted(data):
sets.setdefault(data[n], []).append(n)
implicitNode = 1
for (value, nset) in sorted(
sets.items(), key=lambda x: (x[1][0], x[1][-1])
):
if len(nset) == 1 and nset[0] == implicitNode:
nodeSpec = ''
else:
nodeSpec = specFromRanges(rangesFromSet(nset))
implicitNode = nset[-1]
fh.write(
'{}{}{}\n'.format(
nodeSpec,
'\t' if nodeSpec else '',
tfFromValue(value),
)
)
else:
implicitNode = 1
for n in sorted(data):
nodeSpec = '' if n == implicitNode else n
implicitNode = n + 1
fh.write(
'{}{}{}\n'.format(
nodeSpec,
'\t' if nodeSpec else '',
tfFromValue(data[n]),
)
)
return True
def _readDataBin(self):
if not os.path.exists(self.binPath):
self.tm.error(
'TF reading: feature file "{}" does not exist'.format(
self.binPath
)
)
return False
with gzip.open(self.binPath, "rb") as f:
self.data = pickle.load(f)
self.dataLoaded = time.time()
return True
def cleanDataBin(self):
if os.path.exists(self.binPath):
os.unlink(self.binPath)
def _writeDataBin(self):
good = True
if not os.path.exists(self.binDir):
try:
os.makedirs(self.binDir, exist_ok=True)
except Exception:
self.tm.error(
'Cannot create directory "{}"'.format(self.binDir)
)
good = False
if not good:
return False
try:
with gzip.open(self.binPath, "wb", compresslevel=GZIP_LEVEL) as f:
pickle.dump(self.data, f, protocol=PICKLE_PROTOCOL)
except Exception:
self.tm.error('Cannot write to file "{}"'.format(self.binPath))
good = False
self.dataLoaded = time.time()
return True
def _getModified(self, bin=False):
if bin:
return os.path.getmtime(self.binPath) if os.path.exists(
self.binPath
) else None
else:
if self.method:
depsInfo = [dep._getModified() for dep in self.dependencies]
depsModifieds = [d for d in depsInfo if d is not None]
depsModified = None if len(depsModifieds
) == 0 else max(depsModifieds)
if depsModified is not None:
return depsModified
elif os.path.exists(self.binPath):
return os.path.getmtime(self.binPath)
else:
return None
else:
if os.path.exists(self.path):
return os.path.getmtime(self.path)
elif os.path.exists(self.binPath):
return os.path.getmtime(self.binPath)
else:
return None