def get_splits(_INPUT, pieces=None, funcs=None, **kwargs):
finitize = kwargs.pop('finitize', False)
dictize = kwargs.pop('dictize', False)
finite = utils.finitize(_INPUT) if finitize and _INPUT else _INPUT
funcs = funcs or get_broadcast_funcs(pieces, **kwargs)
inputs = imap(DotDict, finite) if finite and dictize else finite
return utils.broadcast(inputs, *funcs) if inputs else funcs
def pipe_rssitembuilder(context=None, _INPUT=None, conf=None, **kwargs):
"""A source that builds an rss item. Loopable.
Parameters
----------
context : pipe2py.Context object
_INPUT : pipeforever asyncPipe or an iterable of items or fields
conf : {
'mediaContentType': {'type': 'text', 'value': ''},
'mediaContentHeight': {'type': 'text', 'value': ''},
'mediaContentWidth': {'type': 'text', 'value': ''},
'mediaContentURL': {'type': 'text', 'value': 'url'},
'mediaThumbHeight': {'type': 'text', 'value': ''},
'mediaThumbWidth': {'type': 'text', 'value': ''},
'mediaThumbURL': {'type': 'text', 'value': 'url'},
'description': {'type': 'text', 'value': 'description'},
'pubdate': {'type': 'text', 'value': 'pubdate'},
'author': {'type': 'text', 'value': 'author'},
'title': {'type': 'text', 'value': 'title'},
'link': {'type': 'text', 'value': 'url'},
'guid': {'type': 'text', 'value': 'guid'},
}
Yields
------
_OUTPUT : items
"""
get_value = partial(utils.get_value, **kwargs)
pkwargs = utils.combine_dicts({'parse_func': get_value}, kwargs)
parse_conf = partial(utils.parse_conf, DotDict(conf), **pkwargs)
get_RSS = lambda key, value: (RSS.get(key, key), value)
get_YAHOO = lambda key, value: (YAHOO.get(key), value)
make_dict = lambda func, conf: dict(starmap(func, conf.iteritems()))
clean_dict = lambda d: dict(i for i in d.items() if all(i))
funcs = [partial(make_dict, get_RSS), partial(make_dict, get_YAHOO)]
finite = utils.finitize(_INPUT)
inputs = imap(DotDict, finite)
confs = imap(parse_conf, inputs)
splits = utils.broadcast(confs, *funcs)
combined = starmap(utils.combine_dicts, splits)
result = imap(clean_dict, combined)
_OUTPUT = imap(DotDict, result)
return _OUTPUT
def pipe_filter(context=None, _INPUT=None, conf=None, **kwargs):
"""An operator that filters for source items matching the given rules.
Not loopable.
Parameters
----------
context : pipe2py.Context object
_INPUT : pipe2py.modules pipe like object (iterable of items)
conf : {
'MODE': {'value': <'permit' or 'block'>},
'COMBINE': {'value': <'and' or 'or'>}
'RULE': [
{
'field': {'value': 'search field'},
'op': {'value': 'one of SWITCH above'},
'value': {'value': 'search term'}
}
]
}
kwargs : other inputs, e.g., to feed terminals for rule values
Returns
-------
_OUTPUT : generator of filtered items
Examples
--------
>>> import os.path as p
>>> from pipe2py.modules.pipeforever import pipe_forever
>>> from pipe2py.modules.pipefetchdata import pipe_fetchdata
>>> parent = p.dirname(p.dirname(__file__))
>>> file_name = p.abspath(p.join(parent, 'data', 'gigs.json'))
>>> path = 'value.items'
>>> url = 'file://%s' % file_name
>>> conf = {'URL': {'value': url}, 'path': {'value': path}}
>>> input = pipe_fetchdata(_INPUT=pipe_forever(), conf=conf)
>>> mode = {'value': 'permit'}
>>> combine = {'value': 'and'}
>>> rule = [{'field': {'value': 'title'}, 'op': {'value': 'contains'}, \
'value': {'value': 'web'}}]
>>> conf = {'MODE': mode, 'COMBINE': combine, 'RULE': rule}
>>> pipe_filter(_INPUT=input, conf=conf).next()['title']
u'E-Commerce Website Developer | Elance Job'
>>> rule = [{'field': {'value': 'title'}, 'op': {'value': 'contains'}, \
'value': {'value': 'kjhlked'}}]
>>> conf = {'MODE': mode, 'COMBINE': combine, 'RULE': rule}
>>> list(pipe_filter(_INPUT=input, conf=conf))
[]
"""
conf = DotDict(conf)
test = kwargs.pop('pass_if', None)
permit = conf.get('MODE', **kwargs) == 'permit'
combine = conf.get('COMBINE', **kwargs)
if not combine in {'and', 'or'}:
raise Exception("Invalid combine: %s. (Expected 'and' or 'or')" %
combine)
rule_defs = map(DotDict, utils.listize(conf['RULE']))
get_pass = partial(utils.get_pass, test=test)
get_value = partial(utils.get_value, **kwargs)
parse_conf = partial(utils.parse_conf, parse_func=get_value, **kwargs)
get_rules = lambda i: imap(parse_conf, rule_defs, repeat(i))
funcs = [COMBINE_BOOLEAN[combine], utils.passthrough, utils.passthrough]
inputs = imap(DotDict, _INPUT)
splits = utils.broadcast(inputs, get_rules, utils.passthrough, get_pass)
outputs = starmap(partial(parse_rules, **kwargs), splits)
parsed = utils.dispatch(outputs, *funcs)
gathered = starmap(partial(parse_result, permit=permit), parsed)
_OUTPUT = ifilter(None, gathered)
return _OUTPUT
def asyncBroadcast(_INPUT, *asyncCallables):
kwargs = {'map_func': _map_func, 'apply_func': _apply_func}
return utils.broadcast(_INPUT, *asyncCallables, **kwargs)
def asyncBroadcast(_INPUT, *asyncCallables):
kwargs = {'map_func': _map_func, 'apply_func': _apply_func}
return utils.broadcast(_INPUT, *asyncCallables, **kwargs)
def pipe_filter(context=None, _INPUT=None, conf=None, **kwargs):
"""An operator that filters for source items matching the given rules.
Not loopable.
Parameters
----------
context : pipe2py.Context object
_INPUT : pipe2py.modules pipe like object (iterable of items)
conf : {
'MODE': {'value': <'permit' or 'block'>},
'COMBINE': {'value': <'and' or 'or'>}
'RULE': [
{
'field': {'value': 'search field'},
'op': {'value': 'one of SWITCH above'},
'value': {'value': 'search term'}
}
]
}
kwargs : other inputs, e.g., to feed terminals for rule values
Returns
-------
_OUTPUT : generator of filtered items
Examples
--------
>>> import os.path as p
>>> from pipe2py.modules.pipeforever import pipe_forever
>>> from pipe2py.modules.pipefetchdata import pipe_fetchdata
>>> parent = p.dirname(p.dirname(__file__))
>>> file_name = p.abspath(p.join(parent, 'data', 'gigs.json'))
>>> path = 'value.items'
>>> url = 'file://%s' % file_name
>>> conf = {'URL': {'value': url}, 'path': {'value': path}}
>>> input = pipe_fetchdata(_INPUT=pipe_forever(), conf=conf)
>>> mode = {'value': 'permit'}
>>> combine = {'value': 'and'}
>>> rule = [{'field': {'value': 'title'}, 'op': {'value': 'contains'}, \
'value': {'value': 'web'}}]
>>> conf = {'MODE': mode, 'COMBINE': combine, 'RULE': rule}
>>> pipe_filter(_INPUT=input, conf=conf).next()['title']
u'E-Commerce Website Developer | Elance Job'
>>> rule = [{'field': {'value': 'title'}, 'op': {'value': 'contains'}, \
'value': {'value': 'kjhlked'}}]
>>> conf = {'MODE': mode, 'COMBINE': combine, 'RULE': rule}
>>> list(pipe_filter(_INPUT=input, conf=conf))
[]
"""
conf = DotDict(conf)
test = kwargs.pop('pass_if', None)
permit = conf.get('MODE', **kwargs) == 'permit'
combine = conf.get('COMBINE', **kwargs)
if not combine in {'and', 'or'}:
raise Exception(
"Invalid combine: %s. (Expected 'and' or 'or')" % combine)
rule_defs = map(DotDict, utils.listize(conf['RULE']))
get_pass = partial(utils.get_pass, test=test)
get_value = partial(utils.get_value, **kwargs)
parse_conf = partial(utils.parse_conf, parse_func=get_value, **kwargs)
get_rules = lambda i: imap(parse_conf, rule_defs, repeat(i))
funcs = [COMBINE_BOOLEAN[combine], utils.passthrough, utils.passthrough]
inputs = imap(DotDict, _INPUT)
splits = utils.broadcast(inputs, get_rules, utils.passthrough, get_pass)
outputs = starmap(partial(parse_rules, **kwargs), splits)
parsed = utils.dispatch(outputs, *funcs)
gathered = starmap(partial(parse_result, permit=permit), parsed)
_OUTPUT = ifilter(None, gathered)
return _OUTPUT