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 iteraddfield(source, field, value, index):
it = iter(source)
hdr = next(it)
flds = list(map(text_type, hdr))
# determine index of new field
if index is None:
index = len(hdr)
# construct output fields
outhdr = list(hdr)
outhdr.insert(index, field)
yield tuple(outhdr)
if callable(value):
# wrap rows as records if using calculated value
it = (Record(row, flds) for row in it)
for row in it:
outrow = list(row)
v = value(row)
outrow.insert(index, v)
yield tuple(outrow)
else:
for row in it:
outrow = list(row)
outrow.insert(index, value)
yield tuple(outrow)
def iteraddfieldusingcontext(table, field, query):
it = iter(table)
hdr = tuple(next(it))
flds = list(map(text_type, hdr))
yield hdr + (field, )
flds.append(field)
it = (Record(row, flds) for row in it)
prv = None
cur = next(it)
for nxt in it:
v = query(prv, cur, nxt)
yield tuple(cur) + (v, )
prv = Record(tuple(cur) + (v, ), flds)
cur = nxt
# handle last row
v = query(prv, cur, None)
yield tuple(cur) + (v, )
def iterrowselect(source, where, missing, complement):
it = iter(source)
hdr = next(it)
flds = list(map(text_type, hdr))
yield tuple(hdr)
it = (Record(row, flds, missing=missing) for row in it)
for row in it:
if where(row) != complement: # XOR
yield tuple(row) # need to convert back to tuple?
def iterrowmap(source, rowmapper, header, failonerror):
it = iter(source)
hdr = next(it)
flds = list(map(text_type, hdr))
yield tuple(header)
it = (Record(row, flds) for row in it)
for row in it:
try:
outrow = rowmapper(row)
yield tuple(outrow)
except Exception as e:
if failonerror:
raise e
def __iter__(self):
table = self.table
source = self.source
encoding = self.encoding
errors = self.errors
lineterminator = self.lineterminator
caption = self.caption
index_header = self.index_header
tr_style = self.tr_style
td_styles = self.td_styles
vrepr = self.vrepr
truncate = self.truncate
with source.open('wb') as buf:
# deal with text encoding
if PY2:
codec = getcodec(encoding)
f = codec.streamwriter(buf, errors=errors)
else:
f = io.TextIOWrapper(buf,
encoding=encoding,
errors=errors,
newline='')
# write the table
try:
it = iter(table)
# write header
hdr = next(it)
_write_begin(f, hdr, lineterminator, caption, index_header,
truncate)
yield hdr
# write body
if tr_style and callable(tr_style):
# wrap as records
it = (Record(row, hdr) for row in it)
for row in it:
_write_row(f, hdr, row, lineterminator, vrepr,
tr_style, td_styles, truncate)
yield row
# finish up
_write_end(f, lineterminator)
f.flush()
finally:
if not PY2:
f.detach()
def iterrowmapmany(source, rowgenerator, header, failonerror):
it = iter(source)
hdr = next(it)
flds = list(map(text_type, hdr))
yield tuple(header)
it = (Record(row, flds) for row in it)
for row in it:
try:
for outrow in rowgenerator(row):
yield tuple(outrow)
except Exception as e:
if failonerror:
raise e
else:
pass
def iterselectusingcontext(table, query):
it = iter(table)
hdr = tuple(next(it))
flds = list(map(text_type, hdr))
yield hdr
it = (Record(row, flds) for row in it)
prv = None
cur = next(it)
for nxt in it:
if query(prv, cur, nxt):
yield cur
prv = cur
cur = nxt
# handle last row
if query(prv, cur, None):
yield cur
def iterfieldmap(source, mappings, failonerror, errorvalue):
it = iter(source)
hdr = next(it)
flds = list(map(text_type, hdr))
outhdr = mappings.keys()
yield tuple(outhdr)
mapfuns = dict()
for outfld, m in mappings.items():
if m in hdr:
mapfuns[outfld] = operator.itemgetter(m)
elif isinstance(m, int) and m < len(hdr):
mapfuns[outfld] = operator.itemgetter(m)
elif isinstance(m, string_types):
mapfuns[outfld] = expr(m)
elif callable(m):
mapfuns[outfld] = m
elif isinstance(m, (tuple, list)) and len(m) == 2:
srcfld = m[0]
fm = m[1]
if callable(fm):
mapfuns[outfld] = composefun(fm, srcfld)
elif isinstance(fm, dict):
mapfuns[outfld] = composedict(fm, srcfld)
else:
raise ArgumentError('expected callable or dict')
else:
raise ArgumentError('invalid mapping %r: %r' % (outfld, m))
# wrap rows as records
it = (Record(row, flds) for row in it)
for row in it:
outrow = list()
for outfld in outhdr:
try:
val = mapfuns[outfld](row)
except Exception as e:
if failonerror == 'inline':
val = e
elif failonerror:
raise e
else:
val = errorvalue
outrow.append(val)
yield tuple(outrow)
def iteraddfields(source, field_defs):
it = iter(source)
hdr = next(it)
flds = list(map(text_type, hdr))
# initialize output fields and indices
outhdr = list(hdr)
value_indexes = []
for fdef in field_defs:
# determine the defined field index
if len(fdef) == 2:
name, value = fdef
index = len(outhdr)
else:
name, value, index = fdef
# insert the name into the header at the appropriate index
outhdr.insert(index, name)
# remember the value/index pairs for later
value_indexes.append((value, index))
yield tuple(outhdr)
for row in it:
outrow = list(row)
# add each defined field into the row at the appropriate index
for value, index in value_indexes:
if callable(value):
# wrap row as record if using calculated value
row = Record(row, flds)
v = value(row)
outrow.insert(index, v)
else:
outrow.insert(index, value)
yield tuple(outrow)
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 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__)
def iterfieldconvert(source, converters, failonerror, errorvalue, where,
pass_row):
# grab the fields in the source table
it = iter(source)
hdr = next(it)
flds = list(map(text_type, hdr))
yield tuple(hdr) # these are not modified
# build converter functions
converter_functions = dict()
for k, c in converters.items():
# turn field names into row indices
if not isinstance(k, integer_types):
try:
k = flds.index(k)
except ValueError: # not in list
raise FieldSelectionError(k)
assert isinstance(k, int), 'expected integer, found %r' % k
# is converter a function?
if callable(c):
converter_functions[k] = c
# is converter a method name?
elif isinstance(c, string_types):
converter_functions[k] = methodcaller(c)
# is converter a method name with arguments?
elif isinstance(c, (tuple, list)) and isinstance(c[0], string_types):
methnm = c[0]
methargs = c[1:]
converter_functions[k] = methodcaller(methnm, *methargs)
# is converter a dictionary?
elif isinstance(c, dict):
converter_functions[k] = dictconverter(c)
# is it something else?
elif c is None:
pass # ignore
else:
raise ArgumentError(
'unexpected converter specification on field %r: %r' % (k, c))
# define a function to transform a value
def transform_value(i, v, *args):
if i not in converter_functions:
# no converter defined on this field, return value as-is
return v
else:
try:
return converter_functions[i](v, *args)
except Exception as e:
if failonerror:
raise e
else:
return errorvalue
# define a function to transform a row
if pass_row:
def transform_row(_row):
return tuple(
transform_value(i, v, _row) for i, v in enumerate(_row))
else:
def transform_row(_row):
return tuple(transform_value(i, v) for i, v in enumerate(_row))
# 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
# prepare iterator
if pass_row or where:
# wrap rows as records
it = (Record(row, flds) for row in it)
# construct the data rows
if where is None:
# simple case, transform all rows
for row in it:
yield transform_row(row)
else:
# conditionally transform rows
for row in it:
if where(row):
yield transform_row(row)
else:
yield row
def tohtml(table, source=None, encoding=None, errors=None, caption=None,
vrepr=text_type, lineterminator='\n', index_header=False,
tr_style=None, td_styles=None, truncate=None):
"""
Write the table as HTML to a file. E.g.::
>>> import petl as etl
>>> table1 = [['foo', 'bar'],
... ['a', 1],
... ['b', 2],
... ['c', 2]]
>>> etl.tohtml(table1, 'example.html', caption='example table')
>>> print(open('example.html').read())
<table class='petl'>
<caption>example table</caption>
<thead>
<tr>
<th>foo</th>
<th>bar</th>
</tr>
</thead>
<tbody>
<tr>
<td>a</td>
<td style='text-align: right'>1</td>
</tr>
<tr>
<td>b</td>
<td style='text-align: right'>2</td>
</tr>
<tr>
<td>c</td>
<td style='text-align: right'>2</td>
</tr>
</tbody>
</table>
The `caption` keyword argument is used to provide a table caption
in the output HTML.
"""
source = write_source_from_arg(source)
with source.open('wb') as buf:
# deal with text encoding
if PY2:
codec = getcodec(encoding)
f = codec.streamwriter(buf, errors=errors)
else:
f = io.TextIOWrapper(buf,
encoding=encoding,
errors=errors,
newline='')
# write the table
try:
it = iter(table)
# write header
hdr = next(it)
_write_begin(f, hdr, lineterminator, caption, index_header,
truncate)
# write body
if tr_style and callable(tr_style):
# wrap as records
it = (Record(row, hdr) for row in it)
for row in it:
_write_row(f, hdr, row, lineterminator, vrepr,
tr_style, td_styles, truncate)
# finish up
_write_end(f, lineterminator)
f.flush()
finally:
if not PY2:
f.detach()
def accept(self, row):
row = Record(row, self.fields)
key = self.discriminator(row)
self.broadcast(key, row)