Exemple #1
0
def infer_collection_ordered_helper(l, cands):
  for vo in l:
    tv = type(vo)
    if is_ordered(tv):
      if is_list(vo) and is_dict(type(v[0])):
        cands.append(vo)
      else:
        infer_collection_ordered_helper(vo, cands)
    elif is_dict(tv):
      infer_collection_dict_helper(vo, cands)
Exemple #2
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def infer_collection_dict_helper(d, cands):
  for k, vd in d.iteritems():
    tv = type(vd)
    if is_ordered(tv):
      if is_list(tv) and is_dict(type(vd[0])):
        cands.append(vd)
      else:
        infer_collection_ordered_helper(vd, cands)
    elif is_dict(tv):
      infer_collection_dict_helper(vd, cands)
Exemple #3
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def infer_collection_dict_helper(d, cands):
  for k, vd in d.iteritems():
    tv = type(vd)
    if is_ordered(tv):
      if is_list(tv) and is_dict(type(vd[0])):
        cands.append(vd)
      else:
        infer_collection_ordered_helper(vd, cands)
    elif is_dict(tv):
      infer_collection_dict_helper(vd, cands)
Exemple #4
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def infer_collection_ordered_helper(l, cands):
  for vo in l:
    tv = type(vo)
    if is_ordered(tv):
      if is_list(vo) and is_dict(type(v[0])):
        cands.append(vo)
      else:
        infer_collection_ordered_helper(vo, cands)
    elif is_dict(tv):
      infer_collection_dict_helper(vo, cands)
Exemple #5
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def infer_collection(d):
  if is_list(type(d)):
    return d

  cands = []
  for k, v in d.iteritems():
    tv = type(v)
    if is_ordered(tv):
      if is_list(tv) and len(v) > 0 and is_dict(type(v[0])):
        cands.append(v)
    elif is_dict(tv):
      infer_collection_dict_helper(v, cands)

  if len(cands) > 0:
    return sorted(map(lambda c: (c, relsize(c)), cands), key=itemgetter(1), reverse=True)[0][0]
  else:
    return []
Exemple #6
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def infer_collection(d):
  if is_list(type(d)):
    return d

  cands = []
  for k, v in d.iteritems():
    tv = type(v)
    if is_ordered(tv):
      if is_list(tv) and len(v) > 0 and is_dict(type(v[0])):
        cands.append(v)
    elif is_dict(tv):
      infer_collection_dict_helper(v, cands)

  if len(cands) > 0:
    return sorted(map(lambda c: (c, relsize(c)), cands), key=itemgetter(1), reverse=True)[0][0]
  else:
    return []
Exemple #7
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def rem_standardize_tags_dict(d):
  nd = {}
  for k, v in d.iteritems():
    if is_dict(type(v)):
      cd = rem_standardize_tags_dict(v)
    else:
      cd = v
    nd[remove_standards_prefix(k)] = cd
  return nd
Exemple #8
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def rem_standardize_tags_dict(d):
  nd = {}
  for k, v in d.iteritems():
    if is_dict(type(v)):
      cd = rem_standardize_tags_dict(v)
    else:
      cd = v
    nd[remove_standards_prefix(k)] = cd
  return nd
Exemple #9
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 def describe(self):
   print "\nTABLENAME: %s, # RECORDS: %d" % (self.name, self.__len__())
   if len(self.rows) == 0:
     return
   c = self.rows[0]
   for k, v in c.iteritems():
     print "\tOUTER KEY:", k
     if is_dict(type(v)):
       print "\t  INNER KEYS:"
       print "\t  ", v.keys(), "\n"
Exemple #10
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 def describe(self):
   print "\nTABLENAME: %s, # RECORDS: %d" % (self.name, self.__len__())
   if len(self.rows) == 0:
     return
   c = self.rows[0]
   for k, v in c.iteritems():
     print "\tOUTER KEY:", k
     if is_dict(type(v)):
       print "\t  INNER KEYS:"
       print "\t  ", v.keys(), "\n"
Exemple #11
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def select(udf, name="", url=None, table=None, data=None, keep_standards_prefix=False):
  if table is not None:
    tb = table
    keep_standards_prefix = True
    if len(name) == 0:
      name = tb.name
  else:
    tb = create(name, data=data, url=url, keep_standards_prefix=keep_standards_prefix)

  results = []
  for d in tb.rows:
    try:
      value = udf(d)
    except KeyError:
      try:
        value = udf(strip_row(d)[0])
      except KeyError:
        continue
    if is_dict(type(value)):
      results.append(value)
  return create(name=name, data=results, keep_standards_prefix=keep_standards_prefix)
Exemple #12
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def select(udf, name="", url=None, table=None, data=None, keep_standards_prefix=False):
  if table is not None:
    tb = table
    keep_standards_prefix = True
    if len(name) == 0:
      name = tb.name
  else:
    tb = create(name, data=data, url=url, keep_standards_prefix=keep_standards_prefix)

  results = []
  for d in tb.rows:
    try:
      value = udf(d)
    except KeyError:
      try:
        value = udf(strip_row(d)[0])
      except KeyError:
        continue
    if is_dict(type(value)):
      results.append(value)
  return create(name=name, data=results, keep_standards_prefix=keep_standards_prefix)