def jngrams(*args):
"""
.. function:: jngrams(n,text) -> jpack
Converts multiple input arguments into a jpack of ngrams.
Examples:
>>> sql("select jngrams(1,'This is a test phrase')")
jngrams(1,'This is a test phrase')
-------------------------------------------
[["This"],["is"],["a"],["test"],["phrase"]]
>>> sql("select jngrams(2,'This is a test phrase')")
jngrams(2,'This is a test phrase')
---------------------------------------------------------
[["This","is"],["is","a"],["a","test"],["test","phrase"]]
"""
if type(args[0]) == int:
n = args[0]
text = args[1]
else:
n = 1
text = args[0]
g = text.split(' ')
listofngrams = []
for i in xrange(len(g) - n + 1):
listofngrams.append(g[i:i + n])
return jopts.toj(listofngrams)
def jfilterempty(*args):
"""
.. function:: jfilterempty(jpacks.) -> jpack
Removes from input jpacks all empty elements.
Examples:
>>> sql("select jfilterempty('a', '', '[]')")
jfilterempty('a', '', '[]')
---------------------------
a
>>> sql("select jfilterempty('a','[null]',3)")
jfilterempty('a','[null]',3)
----------------------------
["a",3]
>>> sql("select jfilterempty('[3]', jpack('b', ''))")
jfilterempty('[3]', jpack('b', ''))
-----------------------------------
[3,"b"]
"""
return jopts.toj([x for x in jopts.fromj(*args) if x!='' and x!=[] and x!=None])
def jngrams(*args):
"""
.. function:: jngrams(n,text) -> jpack
Converts multiple input arguments into a jpack of ngrams.
Examples:
>>> sql("select jngrams(1,'This is a test phrase')")
jngrams(1,'This is a test phrase')
-------------------------------------------
[["This"],["is"],["a"],["test"],["phrase"]]
>>> sql("select jngrams(2,'This is a test phrase')")
jngrams(2,'This is a test phrase')
---------------------------------------------------------
[["This","is"],["is","a"],["a","test"],["test","phrase"]]
"""
if type(args[0]) == int:
n = args[0]
text = args[1]
else:
n = 1
text = args[0]
g = text.split(' ')
listofngrams = []
for i in xrange(len(g)-n+1):
listofngrams.append(g[i:i+n])
return jopts.toj(listofngrams)
def jfilterempty(*args):
"""
.. function:: jfilterempty(jpacks.) -> jpack
Removes from input jpacks all empty elements.
Examples:
>>> sql("select jfilterempty('a', '', '[]')")
jfilterempty('a', '', '[]')
---------------------------
a
>>> sql("select jfilterempty('a','[null]',3)")
jfilterempty('a','[null]',3)
----------------------------
["a",3]
>>> sql("select jfilterempty('[3]', jpack('b', ''))")
jfilterempty('[3]', jpack('b', ''))
-----------------------------------
[3,"b"]
"""
return jopts.toj(
[x for x in jopts.fromj(*args) if x != '' and x != [] and x != None])
def jexcept(*args):
"""
.. function:: jexcept(jpackA, jpackB) -> jpack
Returns the items of jpackA except the items that appear on jpackB.
Examples:
>>> sql("select jexcept('[1,2,3]', '[1,2,3]')") # doctest: +NORMALIZE_WHITESPACE
jexcept('[1,2,3]', '[1,2,3]')
-----------------------------
[]
>>> sql("select jexcept('[1,2,3]', '[1,3]')") # doctest: +NORMALIZE_WHITESPACE
jexcept('[1,2,3]', '[1,3]')
---------------------------
2
"""
if len(args) < 2:
raise functions.OperatorError("jexcept","operator needs at least two inputs")
b = set(jopts.fromj(args[1]))
return jopts.toj([x for x in jopts.fromj(args[0]) if x not in b])
def jsplitv(*args):
"""
.. function:: jsplitv(jpacks) -> [C1]
Splits vertically a jpack.
Examples:
>>> sql("select jsplitv(jmerge('[1,2,3]', '[1,2,3]', 'b', 'a', 3 ))") # doctest: +NORMALIZE_WHITESPACE
C1
--
1
2
3
1
2
3
b
a
3
"""
yield ('C1', )
for j1 in jopts.fromj(*args):
yield [jopts.toj(j1)]
def jmergeregexpnamed(*args):
"""
.. function:: jmergeregexpnamed(jpacks) -> jpack
Creates a regular expression that matches all of the jpack's contents with named groups. If the number of
named groups in a regular expression is greater than 99, then the output will be a jpack of regular expressions.
Examples:
>>> sql(''' select jmergeregexpnamed('["abc", "def"]') ''') # doctest: +NORMALIZE_WHITESPACE
jmergeregexpnamed('["abc", "def"]')
-----------------------------------
(abc)|(def)
"""
inp = jopts.fromj(*args)
inp.sort()
out = []
for g in xrange(0, len(inp), 99):
out.append('|'.join('('+x+')' for x in inp[g:g+99]))
return jopts.toj(out)
def jpack(*args):
"""
.. function:: jpack(args...) -> jpack
Converts multiple input arguments into a single string. Jpacks preserve the types
of their inputs and are based on JSON encoding. Single values are represented as
themselves where possible.
Examples:
>>> sql("select jpack('a')")
jpack('a')
----------
a
>>> sql("select jpack('a','b',3)")
jpack('a','b',3)
----------------
["a","b",3]
>>> sql("select jpack('a', jpack('b',3))")
jpack('a', jpack('b',3))
------------------------
["a",["b",3]]
"""
return jopts.toj(jopts.elemfromj(*args))
def jpack(*args):
"""
.. function:: jpack(args...) -> jpack
Converts multiple input arguments into a single string. Jpacks preserve the types
of their inputs and are based on JSON encoding. Single values are represented as
themselves where possible.
Examples:
>>> sql("select jpack('a')")
jpack('a')
----------
a
>>> sql("select jpack('a','b',3)")
jpack('a','b',3)
----------------
["a","b",3]
>>> sql("select jpack('a', jpack('b',3))")
jpack('a', jpack('b',3))
------------------------
["a",["b",3]]
"""
return jopts.toj(jopts.elemfromj(*args))
def final(self):
yield tuple('c'+str(i) for i in xrange(1,self.numofargs))
for groupkey, sumcols in self.groupsdict.iteritems():
cols = list(groupkey)
for col in sumcols:
try:
cols.append(sum(col))
except TypeError:
cols.append(jopts.toj(sorted(set( jopts.fromj(*col) ))))
yield cols
def jdictgroupkey(*args):
"""
.. function:: jdictgroupkey(list_of_jdicts, groupkey1, groupkey2, ...)
It groups an array of jdicts into a hierarchical structure. The grouping is done
first by groupkey1 then by groupkey2 and so on.
If no groupkeys are provided, then the first key of array's first jdict is used as a groupkey.
Examples:
>>> sql('''select jdictgroupkey('[{"gkey":"v1", "b":1},{"gkey":"v1","b":2},{"gkey":"v2","b":1, "c":2}]') as j''')
j
---------------------------------------------
{"v1":[{"b":1},{"b":2}],"v2":[{"b":1,"c":2}]}
>>> sql('''select jdictgroupkey('[{"gkey":"v1", "b":1},{"gkey":"v1","b":2},{"gkey":"v2","b":1, "c":2}]', "gkey") as j''')
j
---------------------------------------------
{"v1":[{"b":1},{"b":2}],"v2":[{"b":1,"c":2}]}
>>> sql('''select jdictgroupkey('[{"gkey":"v1", "gkey2":"f1", "b":1},{"gkey":"v1", "gkey2":"f2", "b":2},{"gkey":"v1", "gkey2":"f2", "b":1, "c":2}]', "gkey", "gkey2") as j''')
j
--------------------------------------------------------------
{"v1":{"gkey2":{"f1":[{"b":1}],"f2":[{"b":2},{"b":1,"c":2}]}}}
"""
def recgroupkey(jdict, gkeys):
outdict=OrderedDict()
for d in jdict:
if d[gkeys[0]] not in outdict:
outdict[d[gkeys[0]]] = [d]
else:
outdict[d[gkeys[0]]].append(d)
del(d[gkeys[0]])
if len(gkeys)>1:
outdict = OrderedDict([(x, recgroupkey(y, gkeys[1:])) for x,y in outdict.iteritems()])
return {gkeys[0]:outdict}
outdict=OrderedDict()
dlist=json.loads(args[0], object_pairs_hook=OrderedDict)
if len(args) == 1:
groupkeys = [iter(dlist[0]).next()]
else:
groupkeys = args[1:]
outdict = recgroupkey(dlist, groupkeys)
return jopts.toj(outdict[groupkeys[0]])
def nl2j(*args):
"""
.. function:: nl2j(text) -> jpack
Converts a text with newlines to a jpack.
"""
fj = []
for t in args:
fj += [x for x in t.split('\n')]
return jopts.toj(fj)
def jdictvals(*args):
"""
.. function:: jdictvals(jdict, [key1, key2,..]) -> jpack
If only the first argument (jdict) is provided, it returns a jpack of the values of input jdict (sorted by the jdict keys).
If key values are also provided, it returns only the keys that have been provided.
Examples:
>>> sql(''' select jdictvals('{"k1":1,"k2":2}') ''') # doctest: +NORMALIZE_WHITESPACE
jdictvals('{"k1":1,"k2":2}')
----------------------------
[1,2]
>>> sql(''' select jdictvals('{"k1":1,"k2":2, "k3":3}', 'k3', 'k1', 'k4') ''') # doctest: +NORMALIZE_WHITESPACE
jdictvals('{"k1":1,"k2":2, "k3":3}', 'k3', 'k1', 'k4')
------------------------------------------------------
[3,1,null]
>>> sql(''' select jdictvals('{"k1":1}') ''') # doctest: +NORMALIZE_WHITESPACE
jdictvals('{"k1":1}')
---------------------
1
>>> sql(''' select jdictvals('{"k1":1}') ''') # doctest: +NORMALIZE_WHITESPACE
jdictvals('{"k1":1}')
---------------------
1
>>> sql(''' select jdictvals(1) ''') # doctest: +NORMALIZE_WHITESPACE
jdictvals(1)
------------
1
"""
if type(args[0]) in (int,float) or args[0][0]!='{' or args[0][-1]!='}':
return args[0]
d=json.loads(args[0])
if len(args)==1:
d=d.items()
d.sort(key=operator.itemgetter(1,0))
vals=[x[1] for x in d]
else:
vals=[]
for i in args[1:]:
try:
vals.append(d[i])
except KeyboardInterrupt:
raise
except:
vals.append(None)
return jopts.toj( vals )
def nl2j(*args):
"""
.. function:: nl2j(text) -> jpack
Converts a text with newlines to a jpack.
"""
fj = []
for t in args:
fj += [x for x in t.split('\n')]
return jopts.toj(fj)
def jdictsplit(*args):
"""
.. function:: jdictvals(jdict, [key1, key2,..]) -> columns
If only the first argument (jdict) is provided, it returns a row containing the values of input jdict (sorted by the jdict keys).
If key values are also provided, it returns only the columns of which the keys have been provided.
Examples:
>>> sql(''' select jdictsplit('{"k1":1,"k2":2}') ''') # doctest: +NORMALIZE_WHITESPACE
k1 | k2
-------
1 | 2
>>> sql(''' select jdictsplit('{"k1":1,"k2":2, "k3":3}', 'k3', 'k1', 'k4') ''') # doctest: +NORMALIZE_WHITESPACE
k3 | k1 | k4
--------------
3 | 1 | None
"""
d=json.loads(args[0])
if len(args)==1:
d=d.items()
d.sort(key=operator.itemgetter(1,0))
yield tuple([x[0] for x in d])
yield [jopts.toj(x[1]) for x in d]
else:
vals=[]
yield tuple(args[1:])
for i in args[1:]:
try:
vals.append(jopts.toj(d[i]))
except KeyboardInterrupt:
raise
except:
vals.append(None)
yield vals
def jdictsplit(*args):
"""
.. function:: jdictsplit(jdict, [key1, key2,..]) -> columns
If only the first argument (jdict) is provided, it returns a row containing the values of input jdict (sorted by the jdict keys).
If key values are also provided, it returns only the columns of which the keys have been provided.
Examples:
>>> sql(''' select jdictsplit('{"k1":1,"k2":2}') ''') # doctest: +NORMALIZE_WHITESPACE
k1 | k2
-------
1 | 2
>>> sql(''' select jdictsplit('{"k1":1,"k2":2, "k3":3}', 'k3', 'k1', 'k4') ''') # doctest: +NORMALIZE_WHITESPACE
k3 | k1 | k4
--------------
3 | 1 | None
"""
d=json.loads(args[0])
if len(args)==1:
d=sorted(d.items())
yield tuple([x[0] for x in d])
yield [jopts.toj(x[1]) for x in d]
else:
vals=[]
yield tuple(args[1:])
for i in args[1:]:
try:
vals.append(jopts.toj(d[i]))
except KeyboardInterrupt:
raise
except:
vals.append(None)
yield vals
def regexpr(*args):
"""
.. function:: regexp(pattern,expression[,replacestr])
This function returns a match to the first parenthesis of *pattern*
or replaces the matches of *pattern* in *expression* with *replacestr*.
`Pattern Syntax <http://docs.python.org/library/re.html#re-syntax>`_ is
according to python's re module.
Examples use `inversion`.
Examples:
>>> table1('''
... 25
... ''')
>>> sql("regexpr 'start\s(\w+)\send' 'start otherword end' ")
regexpr('start\s(\w+)\send','start otherword end')
--------------------------------------------------
otherword
>>> sql("regexpr '\W+' '@#$%@$#% tobereplaced @#$%@#$%' 'nonword' ")
regexpr('\W+','@#$%@$#% tobereplaced @#$%@#$%','nonword')
---------------------------------------------------------
nonwordtobereplacednonword
>>> sql("select regexpr('(\w+).*?(\w+)', 'one two three')")
regexpr('(\w+).*?(\w+)', 'one two three')
-----------------------------------------
["one","two"]
"""
if len(args) < 2:
return
if len(args) == 2:
a = re.search(args[0], unicode(args[1]), re.UNICODE)
if a != None:
if len(a.groups()) > 0:
return jopts.toj(a.groups())
else:
return True
else:
return None
if len(args) == 3:
try:
return re.sub(args[0], args[2], args[1], flags=re.UNICODE)
except TypeError:
return re.sub(args[0], args[2], args[1])
def jdictsplitv(*args):
"""
.. function:: jdictsplitv(jdict, [key1, key2,..]) -> columns
If only the first argument (jdict) is provided, it returns rows containing the values of input jdict.
If key values are also provided, it returns only the columns of which the keys have been provided.
Examples:
>>> sql(''' select jdictsplitv('{"k1":1,"k2":2}') ''') # doctest: +NORMALIZE_WHITESPACE
key | val
---------
k1 | 1
k2 | 2
>>> sql(''' select jdictsplitv('{"k1":1,"k2":2, "k3":3}', 'k3', 'k1', 'k4') ''') # doctest: +NORMALIZE_WHITESPACE
key | val
---------
k3 | 3
k1 | 1
"""
yield ('key', 'val')
if len(args) == 1:
dlist = json.loads(args[0], object_pairs_hook=OrderedDict)
for k, v in dlist.iteritems():
yield [k, jopts.toj(v)]
else:
dlist = json.loads(args[0])
for k in args[1:]:
try:
yield k, jopts.toj(dlist[k])
except KeyError:
pass
def jpermutations(*args):
"""
.. function:: jpermutations(jpack, r) -> multiset
Returns all length r permutations of jpack.
Examples:
>>> sql('''select jpermutations('["t1","t2","t3"]',2)''')
C1 | C2
-------
t1 | t2
t1 | t3
t2 | t1
t2 | t3
t3 | t1
t3 | t2
>>> sql('''select jpermutations('["t1","t2",["t3","t4"]]',2)''')
C1 | C2
-------------------------
t1 | t2
t1 | ["t3","t4"]
t2 | t1
t2 | ["t3","t4"]
["t3","t4"] | t1
["t3","t4"] | t2
>>> sql('''select jpermutations(null,2)''')
C1 | C2
-----
>>> sql('''select jpermutations('["t1","t2","t3","t4"]')''')
C1
--
t1
t2
t3
t4
"""
r=1
if len(args)==2:
r=args[1]
yield tuple(('C'+str(x) for x in xrange(1,r+1)))
for p in itertools.permutations(jopts.fromj(args[0]), r):
yield [jopts.toj(x) for x in p]
def jset(*args):
"""
.. function:: jset(jpacks) -> jpack
Returns a set representation of a jpack, unifying duplicate items.
Examples:
>>> sql("select jset('[1,2,3]', '[1,2,3]', 'b', 'a', 3 )") # doctest: +NORMALIZE_WHITESPACE
jset('[1,2,3]', '[1,2,3]', 'b', 'a', 3 )
----------------------------------------
[1,2,3,"a","b"]
"""
return jopts.toj(sorted(set(jopts.fromj(*args))))
def jsort(*args):
"""
.. function:: jsort(jpacks) -> jpack
Sorts the input jpacks.
Examples:
>>> sql("select jsort('[1,2,3]', '[1,2,3]', 'b', 'a', 3 )") # doctest: +NORMALIZE_WHITESPACE
jsort('[1,2,3]', '[1,2,3]', 'b', 'a', 3 )
-----------------------------------------
[1,1,2,2,3,3,3,"a","b"]
"""
return jopts.toj(sorted(jopts.fromj(*args)))
def jmerge(*args):
"""
.. function:: jmerge(jpacks) -> jpack
Merges multiple jpacks into one jpack.
Examples:
>>> sql("select jmerge('[1,2,3]', '[1,2,3]', 'a', 3 )") # doctest: +NORMALIZE_WHITESPACE
jmerge('[1,2,3]', '[1,2,3]', 'a', 3 )
-------------------------------------
[1,2,3,1,2,3,"a",3]
"""
return jopts.toj(jopts.fromj(*args))
def jmerge(*args):
"""
.. function:: jmerge(jpacks) -> jpack
Merges multiple jpacks into one jpack.
Examples:
>>> sql("select jmerge('[1,2,3]', '[1,2,3]', 'a', 3 )") # doctest: +NORMALIZE_WHITESPACE
jmerge('[1,2,3]', '[1,2,3]', 'a', 3 )
-------------------------------------
[1,2,3,1,2,3,"a",3]
"""
return jopts.toj(jopts.fromj(*args))
def jset(*args):
"""
.. function:: jset(jpacks) -> jpack
Returns a set representation of a jpack, unifying duplicate items.
Examples:
>>> sql("select jset('[1,2,3]', '[1,2,3]', 'b', 'a', 3 )") # doctest: +NORMALIZE_WHITESPACE
jset('[1,2,3]', '[1,2,3]', 'b', 'a', 3 )
----------------------------------------
[1,2,3,"a","b"]
"""
return jopts.toj(sorted(set(jopts.fromj(*args))))
def jpermutations(*args):
"""
.. function:: jpermutations(jpack, r) -> multiset
Returns all length r permutations of jpack.
Examples:
>>> sql('''select jpermutations('["t1","t2","t3"]',2)''')
C1 | C2
-------
t1 | t2
t1 | t3
t2 | t1
t2 | t3
t3 | t1
t3 | t2
>>> sql('''select jpermutations('["t1","t2",["t3","t4"]]',2)''')
C1 | C2
-------------------------
t1 | t2
t1 | ["t3","t4"]
t2 | t1
t2 | ["t3","t4"]
["t3","t4"] | t1
["t3","t4"] | t2
>>> sql('''select jpermutations(null,2)''')
>>> sql('''select jpermutations('["t1","t2","t3","t4"]')''')
C1
--
t1
t2
t3
t4
"""
r=1
if len(args)==2:
r=args[1]
yield tuple(('C'+str(x) for x in xrange(1,r+1)))
for p in itertools.permutations(jopts.fromj(args[0]), r):
yield [jopts.toj(x) for x in p]
def jrange(num):
"""
.. function:: jrange(num) -> jrange
Returns a jrange of integer numbers.
Examples:
>>> sql("select jrange(5)")
jrange('a')
-----------------
["0","1","2","3"]
"""
jran = [None] * num
for i in xrange(num):
jran[i] = str(i)
return jopts.toj(jran)
def jfrequentwords(*args):
"""
.. function:: jfrequentwords(args...) -> jpack
Returns the frequent words of a text in a jpack
"""
wordslist = args[0].split(' ')
setwords = set(wordslist)
c = dict.fromkeys(setwords, 0)
for w in wordslist:
c[w] += 1
lenwords = len(setwords)
extremevals = int(math.ceil(lenwords * 3 * 1.0 / 100))
frequences = sorted(c.values())[extremevals:(lenwords - extremevals)]
avgfrequency = math.ceil(sum(frequences) * 1.0 / len(frequences))
return jopts.toj([k for k, v in c.iteritems() if v >= avgfrequency])
def jrange(num):
"""
.. function:: jrange(num) -> jrange
Returns a jrange of integer numbers.
Examples:
>>> sql("select jrange(5)")
jrange('a')
-----------------
["0","1","2","3"]
"""
jran = [None] * num
for i in xrange(num):
jran[i] = str(i)
return jopts.toj(jran)
def s2j(*args):
"""
.. function:: s2j(tabpack) -> jpack
Converts a space separated pack to a jpack.
Examples:
>>> sql("select s2j('1 2 3 ')") # doctest: +NORMALIZE_WHITESPACE
s2j('1 2 3 ')
--------------
["1","2","3"]
"""
fj = []
for t in args:
fj += [x for x in t.split(' ') if x != '']
return jopts.toj(fj)
def s2j(*args):
"""
.. function:: s2j(tabpack) -> jpack
Converts a space separated pack to a jpack.
Examples:
>>> sql("select s2j('1 2 3 ')") # doctest: +NORMALIZE_WHITESPACE
s2j('1 2 3 ')
--------------
["1","2","3"]
"""
fj = []
for t in args:
fj += [x for x in t.split(' ') if x != '']
return jopts.toj(fj)
def jdict(*args):
"""
.. function:: jdict(key, value, key1, value1) -> jdict
Returns a jdict of the keys and value pairs.
Examples:
>>> sql(''' select jdict('key1', 'val1', 'key2', 'val2') ''') # doctest: +NORMALIZE_WHITESPACE
jdict('key1', 'val1', 'key2', 'val2')
-------------------------------------
{"key1":"val1","key2":"val2"}
>>> sql(''' select jdict('key', '{"k1":1,"k2":2}') ''') # doctest: +NORMALIZE_WHITESPACE
jdict('key', '{"k1":1,"k2":2}')
-------------------------------
{"key":{"k1":1,"k2":2}}
>>> sql(''' select jdict('key', '["val1", "val2"]') ''') # doctest: +NORMALIZE_WHITESPACE
jdict('key', '["val1", "val2"]')
--------------------------------
{"key":["val1","val2"]}
>>> sql(''' select jdict('1') ''') # doctest: +NORMALIZE_WHITESPACE
Traceback (most recent call last):
...
OperatorError: Madis SQLError:
Operator JDICT: At least two arguments required
"""
if len(args)==1:
raise functions.OperatorError('jdict',"At least two arguments required")
result = OrderedDict()
for i in xrange(0, len(args), 2):
result[args[i]] = jopts.fromjsingle(args[i+1])
return jopts.toj( result )
def jflatten(*args):
"""
.. function:: jflattten(jpacks) -> jpack
Flattens all nested sub-jpacks.
Examples:
>>> sql(''' select jflatten('1', '[2]') ''') # doctest: +NORMALIZE_WHITESPACE
jflatten('1', '[2]')
--------------------
["1",2]
>>> sql(''' select jflatten('[["word1", 1], ["word2", 1], [["word3", 2], ["word4", 2]], 3]') ''') # doctest: +NORMALIZE_WHITESPACE
jflatten('[["word1", 1], ["word2", 1], [["word3", 2], ["word4", 2]], 3]')
-------------------------------------------------------------------------
["word1",1,"word2",1,"word3",2,"word4",2,3]
"""
return jopts.toj(jopts.flatten(jopts.elemfromj(*args)))
def t2j(*args):
"""
.. function:: t2j(tabpack) -> jpack
Converts a tab separated pack to a jpack.
Examples:
>>> sql("select t2j(j2t('[1,2,3]'))") # doctest: +NORMALIZE_WHITESPACE
t2j(j2t('[1,2,3]'))
-------------------
["1","2","3"]
"""
fj=[]
for t in args:
fj+=t.split('\t')
return jopts.toj(fj)
def jsplit(*args):
"""
.. function:: jsplit(jpacks) -> [C1, C2, ...]
Splits horizontally a jpack.
Examples:
>>> sql("select jsplit('[1,2,3]', '[3,4,5]')") # doctest: +NORMALIZE_WHITESPACE
C1 | C2 | C3 | C4 | C5 | C6
---------------------------
1 | 2 | 3 | 3 | 4 | 5
"""
fj = [jopts.toj(x) for x in jopts.fromj(*args)]
if fj == []:
yield ('C1',)
yield tuple(['C' + str(x) for x in xrange(1, len(fj) + 1)])
yield fj
def jintersection(*args):
"""
.. function:: jintersection(jpackA, jpackB) -> jpack
Returns the items of jpackA except the items that appear on jpackB.
Examples:
>>> sql("select jintersection('[1,2,3]', '[1,2,3]')") # doctest: +NORMALIZE_WHITESPACE
jintersection('[1,2,3]', '[1,2,3]')
-----------------------------------
[1,2,3]
>>> sql("select jintersection('[1,2,3]', '[1,3]', 1)") # doctest: +NORMALIZE_WHITESPACE
jintersection('[1,2,3]', '[1,3]', 1)
------------------------------------
1
"""
if len(args) < 2:
raise functions.OperatorError("jintersection","operator needs at least two inputs")
return jopts.toj(sorted(set.intersection(*[set(jopts.fromj(x)) for x in args])))
def final(self):
return jopts.toj(self.outgroup)
def final(self):
yield tuple(['C'+str(i) for i in xrange(1, self.lenargs)] )
yield [jopts.toj(list(i)) for i in self.vals]
"""
wordslist = args[0].split(' ')
setwords = set(wordslist)
c = dict.fromkeys(setwords, 0)
for w in wordslist:
c[w]+=1
lenwords = len(setwords)
extremevals = int(math.ceil(lenwords * 3 * 1.0/100))
frequences = sorted(c.values())[extremevals:(lenwords-extremevals)]
try:
avgfrequency = math.ceil(sum(frequences)*1.0/len(frequences))
except Exception,e:
avgfrequency = 0.0
return jopts.toj([k for k,v in c.iteritems() if v >= avgfrequency])
jfrequentwords.registered=True
def jsonstrict(*args):
"""
.. function:: jsonstrict(args...) -> json string
Sometimes we wish to process json lists from another application. Jsonstrict function
tries to always create json compatible lists. So it always returns json lists.
Examples:
>>> sql("select jsonstrict('a')")
jsonstrict('a')
i=args[0]
try:
if i[0]=='{' and i[-1]=='}':
keys=[x for x in json.loads(i, object_pairs_hook=OrderedDict).iterkeys()]
except TypeError,e:
pass
else:
keys=OrderedDict()
for i in args:
try:
if i[0]=='{' and i[-1]=='}':
keys.update([(x,None) for x in json.loads(i, object_pairs_hook=OrderedDict).iterkeys()])
except TypeError,e:
pass
keys=list(keys)
return jopts.toj( keys )
jdictkeys.registered=True
def jdictvals(*args):
"""
.. function:: jdictvals(jdict, [key1, key2,..]) -> jpack
If only the first argument (jdict) is provided, it returns a jpack of the values of input jdict (sorted by the jdict keys).
If key values are also provided, it returns only the keys that have been provided.
Examples:
>>> sql(''' select jdictvals('{"k1":1,"k2":2}') ''') # doctest: +NORMALIZE_WHITESPACE
def jsonpath(*args):
"""
.. function:: jsonpath(JSON, jsonpathexpr1, jsonpathexpr2) -> multiset
Uses jsonpath expressions to pick values from inside a JSON input. If the outputs of all JSONpath expressions
have the same number of elements in them, it splits the output into multiple rows.
.. note::
For more on JSONpath see: http://goessner.net/articles/JsonPath/
Examples:
>>> sql('''select jsonpath('{"d1":[{"name":"n1", "value":"v1"}, {"name":"n2", "value":"v2"}]}', '$.d1') ''')
C1
-------------------------------------------------------
[{"name":"n1","value":"v1"},{"name":"n2","value":"v2"}]
>>> sql('''select jsonpath('{"d1":[{"name":"n1", "value":"v1"}, {"name":"n2", "value":"v2"}]}', '$.d1[*].name') ''')
C1
--
n1
n2
>>> sql('''select jsonpath('{"d1":[{"name":"n1", "value":"v1"}, {"name":"n2", "value":"v2"}]}', '$.d1[*].name', '$.d1[*].value') ''')
C1 | C2
-------
n1 | v1
n2 | v2
>>> sql('''select jsonpath('{"d1":[{"name":"n1", "value":"v1"}, {"name":"n2", "value":"v2"}]}', '$.d1[*].name', '$.d1[*].nonexisting') ''')
C1 | C2
---------
n1 | None
n2 | None
>>> sql('''select jsonpath('{"d1":[{"name":"n1", "value":"v1"}, {"name":"n2"}]}', '$.d1[*].name', '$.d1[*].value') ''')
C1 | C2
----------------
["n1","n2"] | v1
>>> sql('''select jsonpath('{"d1":[{"name":"n1", "value":"v1"}, {"name":"n2", "value":"v2"}]}', '$.nonexisting') ''')
"""
j = json.loads(args[0])
yield tuple( ('C'+str(x)for x in xrange( 1,len(args) ) ) )
output=[libjsonpath(j, jp, use_eval=False) for jp in args[1:]]
l=0
lchanges=0
for i in output:
try:
if len(i)!=l:
l=len(i)
lchanges+=1
except TypeError:
pass
if l==0:
return
if lchanges>1:
yield [jopts.toj(x) if type(x)!=bool else None for x in output]
else:
for i in xrange(l):
yield [jopts.toj(x[i]) if type(x)!=bool else None for x in output]
def jsonpath(*args):
"""
.. function:: jsonpath(JSON, jsonpathexpr1, jsonpathexpr2) -> multiset
Uses jsonpath expressions to pick values from inside a JSON input. If the outputs of all JSONpath expressions
have the same number of elements in them, it splits the output into multiple rows.
.. note::
For more on JSONpath see: http://goessner.net/articles/JsonPath/
Examples:
>>> sql('''select jsonpath('{"d1":[{"name":"n1", "value":"v1"}, {"name":"n2", "value":"v2"}]}', '$.d1') ''')
C1
-------------------------------------------------------
[{"name":"n1","value":"v1"},{"name":"n2","value":"v2"}]
>>> sql('''select jsonpath('{"d1":[{"name":"n1", "value":"v1"}, {"name":"n2", "value":"v2"}]}', '$.d1[*].name') ''')
C1
--
n1
n2
>>> sql('''select jsonpath('{"d1":[{"name":"n1", "value":"v1"}, {"name":"n2", "value":"v2"}]}', '$.d1[*].name', '$.d1[*].value') ''')
C1 | C2
-------
n1 | v1
n2 | v2
>>> sql('''select jsonpath('{"d1":[{"name":"n1", "value":"v1"}, {"name":"n2", "value":"v2"}]}', '$.d1[*].name', '$.d1[*].nonexisting') ''')
C1 | C2
---------
n1 | None
n2 | None
>>> sql('''select jsonpath('{"d1":[{"name":"n1", "value":"v1"}, {"name":"n2"}]}', '$.d1[*].name', '$.d1[*].value') ''')
C1 | C2
----------------
["n1","n2"] | v1
>>> sql('''select jsonpath('{"d1":[{"name":"n1", "value":"v1"}, {"name":"n2", "value":"v2"}]}', '$.nonexisting') ''')
"""
try:
j = json.loads(args[0])
except:
try:
j = json.loads(utf8clean(args[0]))
except:
import sys
sys.stderr.write(args[0])
error = 'Error in input line: ' + args[0]
raise
yield tuple(('C' + str(x) for x in xrange(1, len(args))))
output = [libjsonpath(j, jp, use_eval=False) for jp in args[1:]]
l = 0
lchanges = 0
for i in output:
try:
if len(i) != l:
l = len(i)
lchanges += 1
except TypeError:
pass
if l == 0:
return
try:
if lchanges > 1:
yield [jopts.toj(x) if type(x) != bool else None for x in output]
else:
for i in xrange(l):
yield [
jopts.toj(x[i]) if type(x) != bool else None
for x in output
]
except:
import sys
sys.stderr.write(args[0])
error = 'Error in input line: ' + args[0]
raise Exception(error)
def jsplice(*args):
"""
.. function:: jsplice(jpack, range1_start, range1_end, ...) -> jpack
Splices input jpack. If only a single range argument is provided, it returns input jpack's element in provided position. If defined position
index is positive, then it starts counting from the beginning of input jpack. If defined position is negative it starts counting from the
end of input jpack.
If more than one range arguments are provided, then the arguments are assumed to be provided in pairs (start, end) that define ranges inside
the input jpack that should be joined together in output jpack.
Examples:
>>> sql(''' select jsplice('[1,2,3,4,5]',0) ''') # doctest: +NORMALIZE_WHITESPACE
jsplice('[1,2,3,4,5]',0)
------------------------
1
>>> sql(''' select jsplice('[1,2,3,4,5]',-1) ''') # doctest: +NORMALIZE_WHITESPACE
jsplice('[1,2,3,4,5]',-1)
-------------------------
5
>>> sql(''' select jsplice('[1,2,3,4,5]',10) ''') # doctest: +NORMALIZE_WHITESPACE
jsplice('[1,2,3,4,5]',10)
-------------------------
None
>>> sql(''' select jsplice('[1,2,3,4,5]', 0, 3, 0, 2) ''') # doctest: +NORMALIZE_WHITESPACE
jsplice('[1,2,3,4,5]', 0, 3, 0, 2)
----------------------------------
[1,2,3,1,2]
>>> sql(''' select jsplice('[1,2,3,4,5]', 2, -1) ''') # doctest: +NORMALIZE_WHITESPACE
jsplice('[1,2,3,4,5]', 2, -1)
-----------------------------
[3,4]
"""
largs = len(args)
if largs == 1:
return args[0]
fj = jopts.fromj(args[0])
if largs == 2:
try:
return jopts.toj(fj[args[1]])
except KeyboardInterrupt:
raise
except:
return None
outj = []
for i in xrange(1, largs, 2):
try:
outj += fj[args[i]:args[i + 1]]
except KeyboardInterrupt:
raise
except:
pass
return jopts.toj(outj)
x for x in json.loads(
i, object_pairs_hook=OrderedDict).iterkeys()
]
except TypeError, e:
pass
else:
keys = OrderedDict()
for i in args:
try:
if i[0] == '{' and i[-1] == '}':
keys.update([(x, None) for x in json.loads(
i, object_pairs_hook=OrderedDict).iterkeys()])
except TypeError, e:
pass
keys = list(keys)
return jopts.toj(keys)
jdictkeys.registered = True
def jdictvals(*args):
"""
.. function:: jdictvals(jdict, [key1, key2,..]) -> jpack
If only the first argument (jdict) is provided, it returns a jpack of the values of input jdict (sorted by the jdict keys).
If key values are also provided, it returns only the keys that have been provided.
Examples:
def jsplice(*args):
"""
.. function:: jsplice(jpack, range1_start, range1_end, ...) -> jpack
Splices input jpack. If only a single range argument is provided, it returns input jpack's element in provided position. If defined position
index is positive, then it starts counting from the beginning of input jpack. If defined position is negative it starts counting from the
end of input jpack.
If more than one range arguments are provided, then the arguments are assumed to be provided in pairs (start, end) that define ranges inside
the input jpack that should be joined together in output jpack.
Examples:
>>> sql(''' select jsplice('[1,2,3,4,5]',0) ''') # doctest: +NORMALIZE_WHITESPACE
jsplice('[1,2,3,4,5]',0)
------------------------
1
>>> sql(''' select jsplice('[1,2,3,4,5]',-1) ''') # doctest: +NORMALIZE_WHITESPACE
jsplice('[1,2,3,4,5]',-1)
-------------------------
5
>>> sql(''' select jsplice('[1,2,3,4,5]',10) ''') # doctest: +NORMALIZE_WHITESPACE
jsplice('[1,2,3,4,5]',10)
-------------------------
None
>>> sql(''' select jsplice('[1,2,3,4,5]', 0, 3, 0, 2) ''') # doctest: +NORMALIZE_WHITESPACE
jsplice('[1,2,3,4,5]', 0, 3, 0, 2)
----------------------------------
[1,2,3,1,2]
>>> sql(''' select jsplice('[1,2,3,4,5]', 2, -1) ''') # doctest: +NORMALIZE_WHITESPACE
jsplice('[1,2,3,4,5]', 2, -1)
-----------------------------
[3,4]
"""
largs=len(args)
if largs==1:
return args[0]
fj=jopts.fromj(args[0])
if largs==2:
try:
return jopts.toj(fj[args[1]])
except KeyboardInterrupt:
raise
except:
return None
outj=[]
for i in xrange(1,largs,2):
try:
outj+=fj[args[i]:args[i+1]]
except KeyboardInterrupt:
raise
except:
pass
return jopts.toj(outj)