def iterunique(source, key):
# assume source is sorted
# first need to sort the data
it = iter(source)
hdr = next(it)
yield tuple(hdr)
# convert field selection into field indices
if key is None:
indices = range(len(hdr))
else:
indices = asindices(hdr, key)
# now use field indices to construct a _getkey function
# N.B., this may raise an exception on short rows, depending on
# the field selection
getkey = operator.itemgetter(*indices)
prev = next(it)
prev_key = getkey(prev)
prev_comp_ne = True
for curr in it:
curr_key = getkey(curr)
curr_comp_ne = curr_key != prev_key
if prev_comp_ne and curr_comp_ne:
yield tuple(prev)
prev = curr
prev_key = curr_key
prev_comp_ne = curr_comp_ne
# last one?
if prev_comp_ne:
yield prev
def facettupletrees(table, key, start='start', stop='stop', value=None):
"""
Construct faceted interval trees for the given table, where each node in
the tree is a row of the table.
"""
import intervaltree
it = iter(table)
hdr = next(it)
flds = list(map(text_type, hdr))
assert start in flds, 'start field not recognised'
assert stop in flds, 'stop field not recognised'
getstart = itemgetter(flds.index(start))
getstop = itemgetter(flds.index(stop))
if value is None:
getvalue = tuple
else:
valueindices = asindices(hdr, value)
assert len(valueindices) > 0, 'invalid value field specification'
getvalue = itemgetter(*valueindices)
keyindices = asindices(hdr, key)
assert len(keyindices) > 0, 'invalid key'
getkey = itemgetter(*keyindices)
trees = dict()
for row in it:
k = getkey(row)
if k not in trees:
trees[k] = intervaltree.IntervalTree()
trees[k].addi(getstart(row), getstop(row), getvalue(row))
return trees
def __init__(self, default_connections, keyed_connections, fields, key):
super(DuplicatesConnection, self).__init__(default_connections,
keyed_connections, fields)
# convert field selection into field indices
indices = asindices(fields, key)
# now use field indices to construct a _getkey function
# N.B., this may raise an exception on short rows, depending on
# the field selection
self.getkey = itemgetter(*indices)
# initial state
self.previous = None
self.previous_is_duplicate = False
# convert field selection into field indices
indices = asindices(fields, key)
# now use field indices to construct a _getkey function
# N.B., this may raise an exception on short rows, depending on
# the field selection
self.getkey = itemgetter(*indices)
# initial state
self.previous = None
self.previous_is_duplicate = False
def facettupletrees(table, key, start='start', stop='stop', value=None):
"""
Construct faceted interval trees for the given table, where each node in
the tree is a row of the table.
"""
import intervaltree
it = iter(table)
hdr = next(it)
flds = list(map(text_type, hdr))
assert start in flds, 'start field not recognised'
assert stop in flds, 'stop field not recognised'
getstart = itemgetter(flds.index(start))
getstop = itemgetter(flds.index(stop))
if value is None:
getvalue = tuple
else:
valueindices = asindices(hdr, value)
assert len(valueindices) > 0, 'invalid value field specification'
getvalue = itemgetter(*valueindices)
keyindices = asindices(hdr, key)
assert len(keyindices) > 0, 'invalid key'
getkey = itemgetter(*keyindices)
trees = dict()
for row in it:
k = getkey(row)
if k not in trees:
trees[k] = intervaltree.IntervalTree()
trees[k].addi(getstart(row), getstop(row), getvalue(row))
return trees
def iterhashantijoin(left, right, lkey, rkey):
lit = iter(left)
rit = iter(right)
lhdr = next(lit)
rhdr = next(rit)
yield tuple(lhdr)
# determine indices of the key fields in left and right tables
lkind = asindices(lhdr, lkey)
rkind = asindices(rhdr, rkey)
# construct functions to extract key values from both tables
lgetk = operator.itemgetter(*lkind)
rgetk = operator.itemgetter(*rkind)
rkeys = set()
for rrow in rit:
rk = rgetk(rrow)
rkeys.add(rk)
for lrow in lit:
lk = lgetk(lrow)
if lk not in rkeys:
yield tuple(lrow)
def __init__(self, default_connections, keyed_connections, fields, key):
super(DuplicatesConnection, self).__init__(default_connections,
keyed_connections, fields)
# convert field selection into field indices
indices = asindices(fields, key)
# now use field indices to construct a _getkey function
# N.B., this may raise an exception on short rows, depending on
# the field selection
self.getkey = itemgetter(*indices)
# initial state
self.previous = None
self.previous_is_duplicate = False
# convert field selection into field indices
indices = asindices(fields, key)
# now use field indices to construct a _getkey function
# N.B., this may raise an exception on short rows, depending on
# the field selection
self.getkey = itemgetter(*indices)
# initial state
self.previous = None
self.previous_is_duplicate = False
def iterhashantijoin(left, right, lkey, rkey):
lit = iter(left)
rit = iter(right)
lhdr = next(lit)
rhdr = next(rit)
yield tuple(lhdr)
# determine indices of the key fields in left and right tables
lkind = asindices(lhdr, lkey)
rkind = asindices(rhdr, rkey)
# construct functions to extract key values from both tables
lgetk = operator.itemgetter(*lkind)
rgetk = operator.itemgetter(*rkind)
rkeys = set()
for rrow in rit:
rk = rgetk(rrow)
rkeys.add(rk)
for lrow in lit:
lk = lgetk(lrow)
if lk not in rkeys:
yield tuple(lrow)
def iterhashrightjoin(left, right, lkey, rkey, missing, llookup, lprefix,
rprefix):
lit = iter(left)
rit = iter(right)
lhdr = next(lit)
rhdr = next(rit)
# determine indices of the key fields in left and right tables
lkind = asindices(lhdr, lkey)
rkind = asindices(rhdr, rkey)
# construct functions to extract key values from left table
rgetk = operator.itemgetter(*rkind)
# determine indices of non-key fields in the right table
# (in the output, we only include key fields from the left table - we
# don't want to duplicate fields)
rvind = [i for i in range(len(rhdr)) if i not in rkind]
rgetv = rowgetter(*rvind)
# determine the output fields
if lprefix is None:
outhdr = list(lhdr)
else:
outhdr = [(str(lprefix) + str(f))
for f in lhdr]
if rprefix is None:
outhdr.extend(rgetv(rhdr))
else:
outhdr.extend([(str(rprefix) + str(f)) for f in rgetv(rhdr)])
yield tuple(outhdr)
# define a function to join rows
def joinrows(_rrow, _lrows):
for lrow in _lrows:
# start with the left row
_outrow = list(lrow)
# extend with non-key values from the right row
_outrow.extend(rgetv(_rrow))
yield tuple(_outrow)
for rrow in rit:
k = rgetk(rrow)
if k in llookup:
lrows = llookup[k]
for outrow in joinrows(rrow, lrows):
yield outrow
else:
# start with missing values in place of the left row
outrow = [missing] * len(lhdr)
# set key values
for li, ri in zip(lkind, rkind):
outrow[li] = rrow[ri]
# extend with non-key values from the right row
outrow.extend(rgetv(rrow))
yield tuple(outrow)
def iterhashrightjoin(left, right, lkey, rkey, missing, llookup, lprefix,
rprefix):
lit = iter(left)
rit = iter(right)
lhdr = next(lit)
rhdr = next(rit)
# determine indices of the key fields in left and right tables
lkind = asindices(lhdr, lkey)
rkind = asindices(rhdr, rkey)
# construct functions to extract key values from left table
rgetk = operator.itemgetter(*rkind)
# determine indices of non-key fields in the right table
# (in the output, we only include key fields from the left table - we
# don't want to duplicate fields)
rvind = [i for i in range(len(rhdr)) if i not in rkind]
rgetv = rowgetter(*rvind)
# determine the output fields
if lprefix is None:
outhdr = list(lhdr)
else:
outhdr = [(text_type(lprefix) + text_type(f)) for f in lhdr]
if rprefix is None:
outhdr.extend(rgetv(rhdr))
else:
outhdr.extend([(text_type(rprefix) + text_type(f))
for f in rgetv(rhdr)])
yield tuple(outhdr)
# define a function to join rows
def joinrows(_rrow, _lrows):
for lrow in _lrows:
# start with the left row
_outrow = list(lrow)
# extend with non-key values from the right row
_outrow.extend(rgetv(_rrow))
yield tuple(_outrow)
for rrow in rit:
k = rgetk(rrow)
if k in llookup:
lrows = llookup[k]
for outrow in joinrows(rrow, lrows):
yield outrow
else:
# start with missing values in place of the left row
outrow = [missing] * len(lhdr)
# set key values
for li, ri in zip(lkind, rkind):
outrow[li] = rrow[ri]
# extend with non-key values from the right row
outrow.extend(rgetv(rrow))
yield tuple(outrow)
def iterantijoin(left, right, lkey, rkey):
lit = iter(left)
rit = iter(right)
lhdr = next(lit)
rhdr = next(rit)
yield tuple(lhdr)
# determine indices of the key fields in left and right tables
lkind = asindices(lhdr, lkey)
rkind = asindices(rhdr, rkey)
# construct functions to extract key values from both tables
lgetk = comparable_itemgetter(*lkind)
rgetk = comparable_itemgetter(*rkind)
# construct group iterators for both tables
lgit = itertools.groupby(lit, key=lgetk)
rgit = itertools.groupby(rit, key=rgetk)
lrowgrp = []
# loop until *either* of the iterators is exhausted
lkval, rkval = Comparable(None), Comparable(None)
try:
# pick off initial row groups
lkval, lrowgrp = next(lgit)
rkval, _ = next(rgit)
while True:
if lkval < rkval:
for row in lrowgrp:
yield tuple(row)
# advance left
lkval, lrowgrp = next(lgit)
elif lkval > rkval:
# advance right
rkval, _ = next(rgit)
else:
# advance both
lkval, lrowgrp = next(lgit)
rkval, _ = next(rgit)
except StopIteration:
pass
# any left over?
if lkval > rkval:
# yield anything that got left hanging
for row in lrowgrp:
yield tuple(row)
# and the rest...
for lkval, lrowgrp in lgit:
for row in lrowgrp:
yield tuple(row)
def iterantijoin(left, right, lkey, rkey):
lit = iter(left)
rit = iter(right)
lhdr = next(lit)
rhdr = next(rit)
yield tuple(lhdr)
# determine indices of the key fields in left and right tables
lkind = asindices(lhdr, lkey)
rkind = asindices(rhdr, rkey)
# construct functions to extract key values from both tables
lgetk = comparable_itemgetter(*lkind)
rgetk = comparable_itemgetter(*rkind)
# construct group iterators for both tables
lgit = itertools.groupby(lit, key=lgetk)
rgit = itertools.groupby(rit, key=rgetk)
lrowgrp = []
# loop until *either* of the iterators is exhausted
lkval, rkval = Comparable(None), Comparable(None)
try:
# pick off initial row groups
lkval, lrowgrp = next(lgit)
rkval, _ = next(rgit)
while True:
if lkval < rkval:
for row in lrowgrp:
yield tuple(row)
# advance left
lkval, lrowgrp = next(lgit)
elif lkval > rkval:
# advance right
rkval, _ = next(rgit)
else:
# advance both
lkval, lrowgrp = next(lgit)
rkval, _ = next(rgit)
except StopIteration:
pass
# any left over?
if lkval > rkval:
# yield anything that got left hanging
for row in lrowgrp:
yield tuple(row)
# and the rest...
for lkval, lrowgrp in lgit:
for row in lrowgrp:
yield tuple(row)
def iterfilldown(table, fillfields, missing, where, anchorfields, until): # prepare where function if isinstance(where, string_types): where = expr(where) elif where is not None: assert callable(where), 'expected callable for "where" argument, found %r' % where else: where = lambda r: True # default where callable returns True # prepare until function if isinstance(until, string_types): until = expr(until) elif until is not None: assert callable(until), 'expected callable for "until" argument, found %r' % until else: until = lambda r: False # default until callable returns True # normal iter function it = iter(table) hdr = next(it) flds = list(map(text_type, hdr)) yield tuple(hdr) if not fillfields: # fill down all fields fillfields = hdr fillindices = asindices(hdr, fillfields) if anchorfields: anchorindices = asindices(hdr, anchorfields) fill = list(next(it)) # fill values prev = fill untilfunctiontriggered = False yield tuple(fill) for row in it: outrow = list(row) if untilfunctiontriggered: fill = outrow untilfunctiontriggered = False # reset if anchorfields: row_values = [row[i] for i in anchorindices] prev_values = [prev[i] for i in anchorindices] check_anchor = row_values == prev_values else: check_anchor = True # loop through fill-down fields for idx in fillindices: if row[idx] == missing and where(Record(row, flds)) and check_anchor: outrow[idx] = fill[idx] # fill down elif row[idx] == missing and check_anchor: pass else: fill[idx] = row[idx] # new fill value prev = outrow yield tuple(outrow) # found stop point, reset fill with next row's contents if until(Record(row, flds)): untilfunctiontriggered = True
def iterhashlookupjoin(left, right, lkey, rkey, missing, lprefix, rprefix):
lit = iter(left)
lhdr = next(lit)
rhdr, rit = iterpeek(right) # need the whole lot to pass to lookup
rlookup = lookupone(rit, rkey, strict=False)
# determine indices of the key fields in left and right tables
lkind = asindices(lhdr, lkey)
rkind = asindices(rhdr, rkey)
# construct functions to extract key values from left table
lgetk = operator.itemgetter(*lkind)
# determine indices of non-key fields in the right table
# (in the output, we only include key fields from the left table - we
# don't want to duplicate fields)
rvind = [i for i in range(len(rhdr)) if i not in rkind]
rgetv = rowgetter(*rvind)
# determine the output fields
if lprefix is None:
outhdr = list(lhdr)
else:
outhdr = [(str(lprefix) + str(f))
for f in lhdr]
if rprefix is None:
outhdr.extend(rgetv(rhdr))
else:
outhdr.extend([(str(rprefix) + str(f))
for f in rgetv(rhdr)])
yield tuple(outhdr)
# define a function to join rows
def joinrows(_lrow, _rrow):
# start with the left row
_outrow = list(_lrow)
# extend with non-key values from the right row
_outrow.extend(rgetv(_rrow))
return tuple(_outrow)
for lrow in lit:
k = lgetk(lrow)
if k in rlookup:
rrow = rlookup[k]
yield joinrows(lrow, rrow)
else:
outrow = list(lrow) # start with the left row
# extend with missing values in place of the right row
outrow.extend([missing] * len(rvind))
yield tuple(outrow)
def iterhashlookupjoin(left, right, lkey, rkey, missing, lprefix, rprefix):
lit = iter(left)
lhdr = next(lit)
rhdr, rit = iterpeek(right) # need the whole lot to pass to lookup
rlookup = lookupone(rit, rkey, strict=False)
# determine indices of the key fields in left and right tables
lkind = asindices(lhdr, lkey)
rkind = asindices(rhdr, rkey)
# construct functions to extract key values from left table
lgetk = operator.itemgetter(*lkind)
# determine indices of non-key fields in the right table
# (in the output, we only include key fields from the left table - we
# don't want to duplicate fields)
rvind = [i for i in range(len(rhdr)) if i not in rkind]
rgetv = rowgetter(*rvind)
# determine the output fields
if lprefix is None:
outhdr = list(lhdr)
else:
outhdr = [(text_type(lprefix) + text_type(f)) for f in lhdr]
if rprefix is None:
outhdr.extend(rgetv(rhdr))
else:
outhdr.extend([(text_type(rprefix) + text_type(f))
for f in rgetv(rhdr)])
yield tuple(outhdr)
# define a function to join rows
def joinrows(_lrow, _rrow):
# start with the left row
_outrow = list(_lrow)
# extend with non-key values from the right row
_outrow.extend(rgetv(_rrow))
return tuple(_outrow)
for lrow in lit:
k = lgetk(lrow)
if k in rlookup:
rrow = rlookup[k]
yield joinrows(lrow, rrow)
else:
outrow = list(lrow) # start with the left row
# extend with missing values in place of the right row
outrow.extend([missing] * len(rvind))
yield tuple(outrow)
def tupletree(table, start='start', stop='stop', value=None):
"""
Construct an interval tree for the given table, where each node in the tree
is a row of the table.
"""
import intervaltree
tree = intervaltree.IntervalTree()
it = iter(table)
hdr = next(it)
flds = list(map(text_type, hdr))
assert start in flds, 'start field not recognised'
assert stop in flds, 'stop field not recognised'
getstart = itemgetter(flds.index(start))
getstop = itemgetter(flds.index(stop))
if value is None:
getvalue = tuple
else:
valueindices = asindices(hdr, value)
assert len(valueindices) > 0, 'invalid value field specification'
getvalue = itemgetter(*valueindices)
for row in it:
tree.addi(getstart(row), getstop(row), getvalue(row))
return tree
def itersearch(table, pattern, field, flags, complement):
prog = re.compile(pattern, flags)
it = iter(table)
hdr = next(it)
flds = list(map(text_type, hdr))
yield tuple(hdr)
if field is None:
# search whole row
test = lambda r: any(prog.search(text_type(v)) for v in r)
else:
indices = asindices(hdr, field)
if len(indices) == 1:
index = indices[0]
test = lambda r: prog.search(text_type(r[index]))
else:
getvals = operator.itemgetter(*indices)
test = lambda r: any(prog.search(text_type(v)) for v in getvals(r))
# complement==False, return rows that match
if not complement:
for row in it:
if test(row):
yield tuple(row)
# complement==True, return rows that do not match
else:
for row in it:
if not test(row):
yield tuple(row)
def tupletree(table, start='start', stop='stop', value=None):
"""
Construct an interval tree for the given table, where each node in the tree
is a row of the table.
"""
import intervaltree
tree = intervaltree.IntervalTree()
it = iter(table)
hdr = next(it)
flds = list(map(text_type, hdr))
assert start in flds, 'start field not recognised'
assert stop in flds, 'stop field not recognised'
getstart = itemgetter(flds.index(start))
getstop = itemgetter(flds.index(stop))
if value is None:
getvalue = tuple
else:
valueindices = asindices(hdr, value)
assert len(valueindices) > 0, 'invalid value field specification'
getvalue = itemgetter(*valueindices)
for row in it:
tree.addi(getstart(row), getstop(row), getvalue(row))
return tree
def iterunique(source, key):
# assume source is sorted
# first need to sort the data
it = iter(source)
hdr = next(it)
yield tuple(hdr)
# convert field selection into field indices
if key is None:
indices = range(len(hdr))
else:
indices = asindices(hdr, key)
# now use field indices to construct a _getkey function
# N.B., this may raise an exception on short rows, depending on
# the field selection
getkey = operator.itemgetter(*indices)
prev = next(it)
prev_key = getkey(prev)
prev_comp_ne = True
for curr in it:
curr_key = getkey(curr)
curr_comp_ne = (curr_key != prev_key)
if prev_comp_ne and curr_comp_ne:
yield tuple(prev)
prev = curr
prev_key = curr_key
prev_comp_ne = curr_comp_ne
# last one?
if prev_comp_ne:
yield prev
def recordlookup(table, key, dictionary=None):
"""
Load a dictionary with data from the given table, mapping to record objects.
"""
if dictionary is None:
dictionary = dict()
it = iter(table)
hdr = next(it)
flds = list(map(text_type, hdr))
keyindices = asindices(hdr, key)
assert len(keyindices) > 0, 'no key selected'
getkey = operator.itemgetter(*keyindices)
for row in it:
k = getkey(row)
rec = Record(row, flds)
if k in dictionary:
# work properly with shelve
l = dictionary[k]
l.append(rec)
dictionary[k] = l
else:
dictionary[k] = [rec]
return dictionary
def itersearch(table, pattern, field, flags, complement):
prog = re.compile(pattern, flags)
it = iter(table)
hdr = next(it)
flds = list(map(text_type, hdr))
yield tuple(hdr)
if field is None:
# search whole row
test = lambda r: any(prog.search(text_type(v)) for v in r)
else:
indices = asindices(hdr, field)
if len(indices) == 1:
index = indices[0]
test = lambda r: prog.search(text_type(r[index]))
else:
getvals = operator.itemgetter(*indices)
test = lambda r: any(prog.search(text_type(v)) for v in getvals(r))
# complement==False, return rows that match
if not complement:
for row in it:
if test(row):
yield tuple(row)
# complement==True, return rows that do not match
else:
for row in it:
if not test(row):
yield tuple(row)
def recordlookup(table, key, dictionary=None):
"""
Load a dictionary with data from the given table, mapping to record objects.
"""
if dictionary is None:
dictionary = dict()
it = iter(table)
hdr = next(it)
flds = list(map(text_type, hdr))
keyindices = asindices(hdr, key)
assert len(keyindices) > 0, 'no key selected'
getkey = operator.itemgetter(*keyindices)
for row in it:
k = getkey(row)
rec = Record(row, flds)
if k in dictionary:
# work properly with shelve
l = dictionary[k]
l.append(rec)
dictionary[k] = l
else:
dictionary[k] = [rec]
return dictionary
def iterhashjoin(left, right, lkey, rkey, rlookup, lprefix, rprefix):
lit = iter(left)
rit = iter(right)
lhdr = next(lit)
rhdr = next(rit)
# determine indices of the key fields in left and right tables
lkind = asindices(lhdr, lkey)
rkind = asindices(rhdr, rkey)
# construct functions to extract key values from left table
lgetk = operator.itemgetter(*lkind)
# determine indices of non-key fields in the right table
# (in the output, we only include key fields from the left table - we
# don't want to duplicate fields)
rvind = [i for i in range(len(rhdr)) if i not in rkind]
rgetv = rowgetter(*rvind)
# determine the output fields
if lprefix is None:
outhdr = list(lhdr)
else:
outhdr = [(str(lprefix) + str(f)) for f in lhdr]
if rprefix is None:
outhdr.extend(rgetv(rhdr))
else:
outhdr.extend([(str(rprefix) + str(f)) for f in rgetv(rhdr)])
yield tuple(outhdr)
# define a function to join rows
def joinrows(_lrow, _rrows):
for rrow in _rrows:
# start with the left row
_outrow = list(_lrow)
# extend with non-key values from the right row
_outrow.extend(rgetv(rrow))
yield tuple(_outrow)
for lrow in lit:
k = lgetk(lrow)
if k in rlookup:
rrows = rlookup[k]
for outrow in joinrows(lrow, rrows):
yield outrow
def __init__(self, default_connections, keyed_connections, fields,
discriminator):
super(PartitionConnection, self).__init__(default_connections,
keyed_connections, fields)
if callable(discriminator):
self.discriminator = discriminator
else: # assume field or fields
self.discriminator = itemgetter(*asindices(fields, discriminator))
def itermelt(source, key, variables, variablefield, valuefield):
if key is None and variables is None:
raise ValueError('either key or variables must be specified')
it = iter(source)
hdr = next(it)
# determine key and variable field indices
key_indices = variables_indices = None
if key is not None:
key_indices = asindices(hdr, key)
if variables is not None:
if not isinstance(variables, (list, tuple)):
variables = (variables,)
variables_indices = asindices(hdr, variables)
if key is None:
# assume key is fields not in variables
key_indices = [i for i in range(len(hdr))
if i not in variables_indices]
if variables is None:
# assume variables are fields not in key
variables_indices = [i for i in range(len(hdr))
if i not in key_indices]
variables = [hdr[i] for i in variables_indices]
getkey = rowgetter(*key_indices)
# determine the output fields
outhdr = [hdr[i] for i in key_indices]
outhdr.append(variablefield)
outhdr.append(valuefield)
yield tuple(outhdr)
# construct the output data
for row in it:
k = getkey(row)
for v, i in zip(variables, variables_indices):
try:
o = list(k) # populate with key values initially
o.append(v) # add variable
o.append(row[i]) # add value
yield tuple(o)
except IndexError:
# row is missing this value, and melt() should yield no row
pass
def __init__(self, default_connections, keyed_connections, fields,
discriminator):
super(PartitionConnection, self).__init__(default_connections,
keyed_connections, fields)
if callable(discriminator):
self.discriminator = discriminator
else: # assume field or fields
self.discriminator = itemgetter(*asindices(fields, discriminator))
def itermergesort(sources, key, header, missing, reverse):
# first need to standardise headers of all input tables
# borrow this from itercat - TODO remove code smells
its = [iter(t) for t in sources]
src_hdrs = [next(it) for it in its]
if header is None:
# determine output fields by gathering all fields found in the sources
outhdr = list()
for hdr in src_hdrs:
for f in list(map(text_type, hdr)):
if f not in outhdr:
# add any new fields as we find them
outhdr.append(f)
else:
# predetermined output fields
outhdr = header
yield tuple(outhdr)
def _standardisedata(it, hdr, ofs):
flds = list(map(text_type, hdr))
# now construct and yield the data rows
for _row in it:
try:
# should be quickest to do this way
yield tuple(_row[flds.index(fo)] if fo in flds else missing
for fo in ofs)
except IndexError:
# handle short rows
outrow = [missing] * len(ofs)
for i, fi in enumerate(flds):
try:
outrow[ofs.index(fi)] = _row[i]
except IndexError:
pass # be relaxed about short rows
yield tuple(outrow)
# wrap all iterators to standardise fields
sits = [_standardisedata(it, hdr, outhdr)
for hdr, it in zip(src_hdrs, its)]
# now determine key function
getkey = None
if key is not None:
# convert field selection into field indices
indices = asindices(outhdr, key)
# now use field indices to construct a _getkey function
# N.B., this will probably raise an exception on short rows
getkey = comparable_itemgetter(*indices)
# OK, do the merge sort
for row in _shortlistmergesorted(getkey, reverse, *sits):
yield row
def _setup_lookup(table, key, value):
# obtain iterator and header row
it = iter(table)
hdr = next(it)
# prepare key getter
keyindices = asindices(hdr, key)
assert len(keyindices) > 0, 'no key selected'
getkey = operator.itemgetter(*keyindices)
# prepare value getter
if value is None:
# default value is complete row
getvalue = rowgetter(*range(len(hdr)))
else:
valueindices = asindices(hdr, value)
assert len(valueindices) > 0, 'no value selected'
getvalue = operator.itemgetter(*valueindices)
return it, getkey, getvalue
def iterconflicts(source, key, missing, exclude, include):
# normalise arguments
if exclude and not isinstance(exclude, (list, tuple)):
exclude = (exclude,)
if include and not isinstance(include, (list, tuple)):
include = (include,)
# exclude overrides include
if include and exclude:
include = None
it = iter(source)
hdr = next(it)
flds = list(map(text_type, hdr))
yield tuple(hdr)
# convert field selection into field indices
indices = asindices(hdr, key)
# now use field indices to construct a _getkey function
# N.B., this may raise an exception on short rows, depending on
# the field selection
getkey = operator.itemgetter(*indices)
previous = None
previous_yielded = False
for row in it:
if previous is None:
previous = row
else:
kprev = getkey(previous)
kcurr = getkey(row)
if kprev == kcurr:
# is there a conflict?
conflict = False
for x, y, f in zip(previous, row, flds):
if (exclude and f not in exclude) \
or (include and f in include) \
or (not exclude and not include):
if missing not in (x, y) and x != y:
conflict = True
break
if conflict:
if not previous_yielded:
yield tuple(previous)
previous_yielded = True
yield tuple(row)
else:
# reset
previous_yielded = False
previous = row
def iterconflicts(source, key, missing, exclude, include):
# normalise arguments
if exclude and not isinstance(exclude, (list, tuple)):
exclude = (exclude, )
if include and not isinstance(include, (list, tuple)):
include = (include, )
# exclude overrides include
if include and exclude:
include = None
it = iter(source)
hdr = next(it)
flds = list(map(text_type, hdr))
yield tuple(hdr)
# convert field selection into field indices
indices = asindices(hdr, key)
# now use field indices to construct a _getkey function
# N.B., this may raise an exception on short rows, depending on
# the field selection
getkey = operator.itemgetter(*indices)
previous = None
previous_yielded = False
for row in it:
if previous is None:
previous = row
else:
kprev = getkey(previous)
kcurr = getkey(row)
if kprev == kcurr:
# is there a conflict?
conflict = False
for x, y, f in zip(previous, row, flds):
if (exclude and f not in exclude) \
or (include and f in include) \
or (not exclude and not include):
if missing not in (x, y) and x != y:
conflict = True
break
if conflict:
if not previous_yielded:
yield tuple(previous)
previous_yielded = True
yield tuple(row)
else:
# reset
previous_yielded = False
previous = row
def iterfieldselect(source, field, where, complement, missing):
it = iter(source)
hdr = next(it)
yield tuple(hdr)
indices = asindices(hdr, field)
getv = operator.itemgetter(*indices)
for row in it:
try:
v = getv(row)
except IndexError:
v = missing
if where(v) != complement: # XOR
yield tuple(row)
def iterfieldselect(source, field, where, complement, missing):
it = iter(source)
hdr = next(it)
yield tuple(hdr)
indices = asindices(hdr, field)
getv = operator.itemgetter(*indices)
for row in it:
try:
v = getv(row)
except IndexError:
v = missing
if bool(where(v)) != complement: # XOR
yield tuple(row)
def iterfillright(table, fillfields, missing): it = iter(table) hdr = next(it) flds = list(map(text_type, hdr)) yield tuple(hdr) if not fillfields: # fill down all fields fillfields = hdr fillindices = asindices(hdr, fillfields) for row in it: outrow = list(row) for i, _ in enumerate(outrow): if i > 0 and outrow[i] == missing and outrow[i-1] != missing and i in fillindices: outrow[i] = outrow[i-1] yield tuple(outrow)
def issorted(table, key=None, reverse=False, strict=False):
"""
Return True if the table is ordered (i.e., sorted) by the given key. E.g.::
>>> import petl as etl
>>> table1 = [['foo', 'bar', 'baz'],
... ['a', 1, True],
... ['b', 3, True],
... ['b', 2]]
>>> etl.issorted(table1, key='foo')
True
>>> etl.issorted(table1, key='bar')
False
>>> etl.issorted(table1, key='foo', strict=True)
False
>>> etl.issorted(table1, key='foo', reverse=True)
False
"""
# determine the operator to use when comparing rows
if reverse and strict:
op = operator.lt
elif reverse and not strict:
op = operator.le
elif strict:
op = operator.gt
else:
op = operator.ge
it = iter(table)
flds = [text_type(f) for f in next(it)]
if key is None:
prev = next(it)
for curr in it:
if not op(curr, prev):
return False
prev = curr
else:
getkey = comparable_itemgetter(*asindices(flds, key))
prev = next(it)
prevkey = getkey(prev)
for curr in it:
currkey = getkey(curr)
if not op(currkey, prevkey):
return False
prevkey = currkey
return True
def iterfilldown(table, fillfields, missing):
it = iter(table)
hdr = next(it)
yield tuple(hdr)
if not fillfields: # fill down all fields
fillfields = hdr
fillindices = asindices(hdr, fillfields)
fill = list(next(it)) # fill values
yield tuple(fill)
for row in it:
outrow = list(row)
for idx in fillindices:
if row[idx] == missing:
outrow[idx] = fill[idx] # fill down
else:
fill[idx] = row[idx] # new fill value
yield tuple(outrow)
def iterfilldown(table, fillfields, missing):
it = iter(table)
hdr = next(it)
yield tuple(hdr)
if not fillfields: # fill down all fields
fillfields = hdr
fillindices = asindices(hdr, fillfields)
fill = list(next(it)) # fill values
yield tuple(fill)
for row in it:
outrow = list(row)
for idx in fillindices:
if row[idx] == missing:
outrow[idx] = fill[idx] # fill down
else:
fill[idx] = row[idx] # new fill value
yield tuple(outrow)
def __iter__(self):
it = iter(self.table)
hdr = next(it)
shdr = sorted(hdr)
indices = asindices(hdr, shdr)
transform = rowgetter(*indices)
# yield the transformed header
yield tuple(shdr)
# construct the transformed data
missing = self.missing
for row in it:
try:
yield transform(row)
except IndexError:
# row is short, let's be kind and fill in any missing fields
yield tuple(row[i] if i < len(row) else missing
for i in indices)
def __iter__(self):
it = iter(self.table)
hdr = next(it)
shdr = sorted(hdr)
indices = asindices(hdr, shdr)
transform = rowgetter(*indices)
# yield the transformed header
yield tuple(shdr)
# construct the transformed data
missing = self.missing
for row in it:
try:
yield transform(row)
except IndexError:
# row is short, let's be kind and fill in any missing fields
yield tuple(row[i] if i < len(row) else missing
for i in indices)
def __iter__(self):
it = iter(self.table)
hdr = next(it)
# convert field selection into field indices
if self.key is None:
indices = range(len(hdr))
else:
indices = asindices(hdr, self.key)
# now use field indices to construct a _getkey function
# N.B., this may raise an exception on short rows, depending on
# the field selection
getkey = operator.itemgetter(*indices)
INIT = object()
if self.count:
hdr = tuple(hdr) + (self.count,)
yield hdr
previous = INIT
n_dup = 1
for row in it:
if previous is INIT:
previous = row
else:
kprev = getkey(previous)
kcurr = getkey(row)
if kprev == kcurr:
n_dup += 1
else:
yield tuple(previous) + (n_dup,)
n_dup = 1
previous = row
# deal with last row
yield tuple(previous) + (n_dup,)
else:
yield tuple(hdr)
previous_keys = INIT
for row in it:
keys = getkey(row)
if keys != previous_keys:
yield tuple(row)
previous_keys = keys
def __iter__(self):
it = iter(self.table)
hdr = next(it)
# convert field selection into field indices
if self.key is None:
indices = range(len(hdr))
else:
indices = asindices(hdr, self.key)
# now use field indices to construct a _getkey function
# N.B., this may raise an exception on short rows, depending on
# the field selection
getkey = operator.itemgetter(*indices)
if self.count:
hdr = tuple(hdr) + (self.count,)
yield hdr
previous = None
n_dup = 1
for row in it:
if previous is None:
previous = row
else:
kprev = getkey(previous)
kcurr = getkey(row)
if kprev == kcurr:
n_dup += 1
else:
yield tuple(previous) + (n_dup,)
n_dup = 1
previous = row
# deal with last row
yield tuple(previous) + (n_dup,)
else:
yield tuple(hdr)
previous_keys = None
for row in it:
keys = getkey(row)
if keys != previous_keys:
yield tuple(row)
previous_keys = keys
def facetcolumns(table, key, missing=None):
"""
Like :func:`petl.util.materialise.columns` but stratified by values of the
given key field. E.g.::
>>> import petl as etl
>>> table = [['foo', 'bar', 'baz'],
... ['a', 1, True],
... ['b', 2, True],
... ['b', 3]]
>>> fc = etl.facetcolumns(table, 'foo')
>>> fc['a']
{'foo': ['a'], 'bar': [1], 'baz': [True]}
>>> fc['b']
{'foo': ['b', 'b'], 'bar': [2, 3], 'baz': [True, None]}
"""
fct = dict()
it = iter(table)
hdr = next(it)
flds = list(map(text_type, hdr))
indices = asindices(hdr, key)
assert len(indices) > 0, 'no key field selected'
getkey = operator.itemgetter(*indices)
for row in it:
kv = getkey(row)
if kv not in fct:
cols = dict()
for f in flds:
cols[f] = list()
fct[kv] = cols
else:
cols = fct[kv]
for f, v in izip_longest(flds, row, fillvalue=missing):
if f in cols:
cols[f].append(v)
return fct
def __init__(self, default_connections, keyed_connections, fields, key,
reverse, buffersize):
super(SortConnection, self).__init__(default_connections,
keyed_connections, fields)
self.getkey = None
if key is not None:
# convert field selection into field indices
indices = asindices(fields, key)
# now use field indices to construct a _getkey function
# N.B., this will probably raise an exception on short rows
self.getkey = comparable_itemgetter(*indices)
self.reverse = reverse
if buffersize is None:
self.buffersize = petl.config.sort_buffersize
else:
self.buffersize = buffersize
self.cache = list()
self.chunkfiles = list()
def __init__(self, default_connections, keyed_connections, fields, key,
reverse, buffersize):
super(SortConnection, self).__init__(default_connections,
keyed_connections, fields)
self.getkey = None
if key is not None:
# convert field selection into field indices
indices = asindices(fields, key)
# now use field indices to construct a _getkey function
# N.B., this will probably raise an exception on short rows
self.getkey = comparable_itemgetter(*indices)
self.reverse = reverse
if buffersize is None:
self.buffersize = petl.config.sort_buffersize
else:
self.buffersize = buffersize
self.cache = list()
self.chunkfiles = list()
def itercut(source, spec, missing=None):
it = iter(source)
spec = tuple(spec) # make sure no-one can change midstream
# convert field selection into field indices
hdr = next(it)
indices = asindices(hdr, spec)
# define a function to transform each row in the source data
# according to the field selection
transform = rowgetter(*indices)
# yield the transformed header
yield transform(hdr)
# construct the transformed data
for row in it:
try:
yield transform(row)
except IndexError:
# row is short, let's be kind and fill in any missing fields
yield tuple(row[i] if i < len(row) else missing for i in indices)
def itercut(source, spec, missing=None):
it = iter(source)
spec = tuple(spec) # make sure no-one can change midstream
# convert field selection into field indices
hdr = next(it)
indices = asindices(hdr, spec)
# define a function to transform each row in the source data
# according to the field selection
transform = rowgetter(*indices)
# yield the transformed header
yield transform(hdr)
# construct the transformed data
for row in it:
try:
yield transform(row)
except IndexError:
# row is short, let's be kind and fill in any missing fields
yield tuple(row[i] if i < len(row) else missing for i in indices)
def __iter__(self):
it = iter(self.table)
# determine output fields
hdr = next(it)
outhdr = [f for f in hdr if f != self.field]
outhdr.insert(self.index, self.field)
yield tuple(outhdr)
# define a function to transform each row in the source data
# according to the field selection
outflds = list(map(str, outhdr))
indices = asindices(hdr, outflds)
transform = rowgetter(*indices)
# construct the transformed data
for row in it:
try:
yield transform(row)
except IndexError:
# row is short, let's be kind and fill in any missing fields
yield tuple(row[i] if i < len(row) else self.missing
for i in indices)
def __iter__(self):
it = iter(self.table)
# determine output fields
hdr = next(it)
outhdr = [f for f in hdr if f != self.field]
outhdr.insert(self.index, self.field)
yield tuple(outhdr)
# define a function to transform each row in the source data
# according to the field selection
outflds = list(map(str, outhdr))
indices = asindices(hdr, outflds)
transform = rowgetter(*indices)
# construct the transformed data
for row in it:
try:
yield transform(row)
except IndexError:
# row is short, let's be kind and fill in any missing fields
yield tuple(row[i] if i < len(row) else self.missing
for i in indices)
def iterduplicates(source, key):
# assume source is sorted
# first need to sort the data
it = iter(source)
hdr = next(it)
yield tuple(hdr)
# convert field selection into field indices
if key is None:
indices = range(len(hdr))
else:
indices = asindices(hdr, key)
# now use field indices to construct a _getkey function
# N.B., this may raise an exception on short rows, depending on
# the field selection
getkey = operator.itemgetter(*indices)
previous = None
previous_yielded = False
for row in it:
if previous is None:
previous = row
else:
kprev = getkey(previous)
kcurr = getkey(row)
if kprev == kcurr:
if not previous_yielded:
yield tuple(previous)
previous_yielded = True
yield tuple(row)
else:
# reset
previous_yielded = False
previous = row
def iterduplicates(source, key):
# assume source is sorted
# first need to sort the data
it = iter(source)
hdr = next(it)
yield tuple(hdr)
# convert field selection into field indices
if key is None:
indices = range(len(hdr))
else:
indices = asindices(hdr, key)
# now use field indices to construct a _getkey function
# N.B., this may raise an exception on short rows, depending on
# the field selection
getkey = operator.itemgetter(*indices)
previous = None
previous_yielded = False
for row in it:
if previous is None:
previous = row
else:
kprev = getkey(previous)
kcurr = getkey(row)
if kprev == kcurr:
if not previous_yielded:
yield tuple(previous)
previous_yielded = True
yield tuple(row)
else:
# reset
previous_yielded = False
previous = row
def recordlookupone(table, key, dictionary=None, strict=False):
"""
Load a dictionary with data from the given table, mapping to record objects,
assuming there is at most one row for each key.
"""
if dictionary is None:
dictionary = dict()
it = iter(table)
hdr = next(it)
flds = list(map(text_type, hdr))
keyindices = asindices(hdr, key)
assert len(keyindices) > 0, 'no key selected'
getkey = operator.itemgetter(*keyindices)
for row in it:
k = getkey(row)
if strict and k in dictionary:
raise DuplicateKeyError(k)
elif k not in dictionary:
d = Record(row, flds)
dictionary[k] = d
return dictionary
def recordlookupone(table, key, dictionary=None, strict=False):
"""
Load a dictionary with data from the given table, mapping to record objects,
assuming there is at most one row for each key.
"""
if dictionary is None:
dictionary = dict()
it = iter(table)
hdr = next(it)
flds = list(map(text_type, hdr))
keyindices = asindices(hdr, key)
assert len(keyindices) > 0, 'no key selected'
getkey = operator.itemgetter(*keyindices)
for row in it:
k = getkey(row)
if strict and k in dictionary:
raise DuplicateKeyError(k)
elif k not in dictionary:
d = Record(row, flds)
dictionary[k] = d
return dictionary
def iterintervaljoin(left,
right,
lstart,
lstop,
rstart,
rstop,
lkey,
rkey,
include_stop,
missing,
lprefix,
rprefix,
leftouter,
anti=False):
# create iterators and obtain fields
lit = iter(left)
lhdr = next(lit)
lflds = list(map(text_type, lhdr))
rit = iter(right)
rhdr = next(rit)
rflds = list(map(text_type, rhdr))
# check fields via petl.util.asindices (raises FieldSelectionError if spec
# is not valid)
asindices(lhdr, lstart)
asindices(lhdr, lstop)
if lkey is not None:
asindices(lhdr, lkey)
asindices(rhdr, rstart)
asindices(rhdr, rstop)
if rkey is not None:
asindices(rhdr, rkey)
# determine output fields
if lprefix is None:
outhdr = list(lflds)
if not anti:
outhdr.extend(rflds)
else:
outhdr = list(lprefix + f for f in lflds)
if not anti:
outhdr.extend(rprefix + f for f in rflds)
yield tuple(outhdr)
# create getters for start and stop positions
getlstart = itemgetter(lflds.index(lstart))
getlstop = itemgetter(lflds.index(lstop))
if rkey is None:
# build interval lookup for right table
lookup = intervallookup(right,
rstart,
rstop,
include_stop=include_stop)
search = lookup.search
# main loop
for lrow in lit:
start = getlstart(lrow)
stop = getlstop(lrow)
rrows = search(start, stop)
if rrows:
if not anti:
for rrow in rrows:
outrow = list(lrow)
outrow.extend(rrow)
yield tuple(outrow)
elif leftouter:
outrow = list(lrow)
if not anti:
outrow.extend([missing] * len(rflds))
yield tuple(outrow)
else:
# build interval lookup for right table
lookup = facetintervallookup(right,
key=rkey,
start=rstart,
stop=rstop,
include_stop=include_stop)
search = dict()
for f in lookup:
search[f] = lookup[f].search
# getter for facet key values in left table
getlkey = itemgetter(*asindices(lflds, lkey))
# main loop
for lrow in lit:
lkey = getlkey(lrow)
start = getlstart(lrow)
stop = getlstop(lrow)
try:
rrows = search[lkey](start, stop)
except KeyError:
rrows = None
except AttributeError:
rrows = None
if rrows:
if not anti:
for rrow in rrows:
outrow = list(lrow)
outrow.extend(rrow)
yield tuple(outrow)
elif leftouter:
outrow = list(lrow)
if not anti:
outrow.extend([missing] * len(rflds))
yield tuple(outrow)
def iterlookupjoin(left, right, lkey, rkey, missing=None, lprefix=None,
rprefix=None):
lit = iter(left)
rit = iter(right)
lhdr = next(lit)
rhdr = next(rit)
# determine indices of the key fields in left and right tables
lkind = asindices(lhdr, lkey)
rkind = asindices(rhdr, rkey)
# construct functions to extract key values from both tables
lgetk = operator.itemgetter(*lkind)
rgetk = operator.itemgetter(*rkind)
# determine indices of non-key fields in the right table
# (in the output, we only include key fields from the left table - we
# don't want to duplicate fields)
rvind = [i for i in range(len(rhdr)) if i not in rkind]
rgetv = rowgetter(*rvind)
# determine the output fields
if lprefix is None:
outhdr = list(lhdr)
else:
outhdr = [(str(lprefix) + str(f)) for f in lhdr]
if rprefix is None:
outhdr.extend(rgetv(rhdr))
else:
outhdr.extend([(str(rprefix) + str(f)) for f in rgetv(rhdr)])
yield tuple(outhdr)
# define a function to join two groups of rows
def joinrows(_lrowgrp, _rrowgrp):
if _rrowgrp is None:
for lrow in _lrowgrp:
outrow = list(lrow) # start with the left row
# extend with missing values in place of the right row
outrow.extend([missing] * len(rvind))
yield tuple(outrow)
else:
rrow = next(iter(_rrowgrp)) # pick first arbitrarily
for lrow in _lrowgrp:
# start with the left row
outrow = list(lrow)
# extend with non-key values from the right row
outrow.extend(rgetv(rrow))
yield tuple(outrow)
# construct group iterators for both tables
lgit = itertools.groupby(lit, key=lgetk)
rgit = itertools.groupby(rit, key=rgetk)
lrowgrp = []
# loop until *either* of the iterators is exhausted
lkval, rkval = None, None # initialise here to handle empty tables
try:
# pick off initial row groups
lkval, lrowgrp = next(lgit)
rkval, rrowgrp = next(rgit)
while True:
if lkval < rkval:
for row in joinrows(lrowgrp, None):
yield tuple(row)
# advance left
lkval, lrowgrp = next(lgit)
elif lkval > rkval:
# advance right
rkval, rrowgrp = next(rgit)
else:
for row in joinrows(lrowgrp, rrowgrp):
yield tuple(row)
# advance both
lkval, lrowgrp = next(lgit)
rkval, rrowgrp = next(rgit)
except StopIteration:
pass
# make sure any left rows remaining are yielded
if lkval > rkval:
# yield anything that got left hanging
for row in joinrows(lrowgrp, None):
yield tuple(row)
# yield the rest
for lkval, lrowgrp in lgit:
for row in joinrows(lrowgrp, None):
yield tuple(row)
def _iternocache(self, source, key, reverse):
debug('iterate without cache')
self.clearcache()
it = iter(source)
hdr = next(it)
yield tuple(hdr)
if key is not None:
# convert field selection into field indices
indices = asindices(hdr, key)
else:
indices = range(len(hdr))
# now use field indices to construct a _getkey function
# TODO check if this raises an exception on short rows
getkey = comparable_itemgetter(*indices)
# TODO support native comparison
# initialise the first chunk
rows = list(itertools.islice(it, 0, self.buffersize))
rows.sort(key=getkey, reverse=reverse)
# have we exhausted the source iterator?
if self.buffersize is None or len(rows) < self.buffersize:
# yes, table fits within sort buffer
if self.cache:
debug('caching mem')
self._hdrcache = hdr
self._memcache = rows
# actually not needed to iterate from memcache
self._getkey = getkey
for row in rows:
yield tuple(row)
else:
# no, table is too big, need to sort in chunks
chunkfiles = []
while rows:
# dump the chunk
with NamedTemporaryFile(dir=self.tempdir, delete=False,
mode='wb') as f:
# N.B., we **don't** want the file to be deleted on close,
# but we **do** want the file to be deleted when self
# is garbage collected, or when the program exits. When
# all references to the wrapper are gone, the file should
# get deleted.
wrapper = _NamedTempFileDeleteOnGC(f.name)
debug('created temporary chunk file %s' % f.name)
for row in rows:
pickle.dump(row, f, protocol=-1)
f.flush()
chunkfiles.append(wrapper)
# grab the next chunk
rows = list(itertools.islice(it, 0, self.buffersize))
rows.sort(key=getkey, reverse=reverse)
if self.cache:
debug('caching files')
self._hdrcache = hdr
self._filecache = chunkfiles
self._getkey = getkey
chunkiters = [_iterchunk(f.name) for f in chunkfiles]
for row in _mergesorted(getkey, reverse, *chunkiters):
yield tuple(row)
def iterproblems(table, constraints, expected_header):
outhdr = ('name', 'row', 'field', 'value', 'error')
yield outhdr
it = iter(table)
actual_header = next(it)
if expected_header is None:
flds = list(map(text_type, actual_header))
else:
expected_flds = list(map(text_type, expected_header))
actual_flds = list(map(text_type, actual_header))
try:
assert expected_flds == actual_flds
except Exception as e:
yield ('__header__', 0, None, None, type(e).__name__)
flds = expected_flds
local_constraints = normalize_constraints(constraints, flds)
# setup getters
for constraint in local_constraints:
if 'getter' not in constraint:
if 'field' in constraint:
# should ensure FieldSelectionError if bad field in constraint
indices = asindices(flds, constraint['field'])
getter = operator.itemgetter(*indices)
constraint['getter'] = getter
# generate problems
expected_len = len(flds)
for i, row in enumerate(it):
row = tuple(row)
# row length constraint
l = None
try:
l = len(row)
assert l == expected_len
except Exception as e:
yield ('__len__', i + 1, None, l, type(e).__name__)
# user defined constraints
row = Record(row, flds)
for constraint in local_constraints:
name = constraint.get('name', None)
field = constraint.get('field', None)
assertion = constraint.get('assertion', None)
test = constraint.get('test', None)
getter = constraint.get('getter', lambda x: x)
try:
target = getter(row)
except Exception as e:
# getting target value failed, report problem
yield (name, i + 1, field, None, type(e).__name__)
else:
value = target if field else None
if test is not None:
try:
test(target)
except Exception as e:
# test raised exception, report problem
yield (name, i + 1, field, value, type(e).__name__)
if assertion is not None:
try:
assert assertion(target)
except Exception as e:
# assertion raised exception, report problem
yield (name, i + 1, field, value, type(e).__name__)
