def _gen_rules(rule_defs, **kwargs):
for rule in rule_defs:
rule = DotDict(rule)
# flags = re.DOTALL # DOTALL was the default for pipe2py previously
# flag 'm'
flags = re.MULTILINE if 'multilinematch' in rule else 0
# flag 'i'; this name is reversed from its meaning
flags |= re.IGNORECASE if 'casematch' in rule else 0
# flag 's'
flags |= re.DOTALL if 'singlelinematch' in rule else 0
# todo: 'globalmatch' is the default in python
# todo: if set, re.sub() below would get count=0 and by default would
# get count=1
# todo: use subkey?
match = rule.get('match', **kwargs)
# compile for speed and we need to pass flags
matchc = re.compile(match, flags)
# todo: use subkey?
replace = rule.get('replace', **kwargs) or ''
# Convert regex to Python format
# todo: use a common routine for this
# map $1 to \1 etc.
# todo: also need to escape any existing \1 etc.
replace = re.sub('\$(\d+)', r'\\\1', replace)
yield (rule.get('filed'), matchc, replace)
def pipe_createrss(context=None, _INPUT=None, conf=None, **kwargs):
conf = DotDict(conf)
for item in _INPUT:
item = DotDict(item)
yield {
value: item.get(conf.get(key, **kwargs))
for key, value in RSS_FIELDS.items()}
def pipe_createrss(context=None, _INPUT=None, conf=None, **kwargs):
"""An operator that converts a source into an RSS stream. Not loopable.
"""
conf = DotDict(conf)
for item in _INPUT:
item = DotDict(item)
yield {value: item.get(conf.get(key, **kwargs)) for key, value in RSS_FIELDS.items()}
def _gen_rules(rule_defs, **kwargs):
rule_defs = util.listize(rule_defs)
# todo: use subkey?
for rule_def in rule_defs:
rule_def = DotDict(rule_def)
op = rule_def.get('op', **kwargs)
newfield = {'subkey': rule_def.get('field')}
newval = rule_def.get('newval', **kwargs)
yield (op, newfield, newval)
def pipe_createrss(context=None, _INPUT=None, conf=None, **kwargs):
"""An operator that converts a source into an RSS stream. Not loopable.
"""
conf = DotDict(conf)
for item in _INPUT:
item = DotDict(item)
yield {
value: item.get(conf.get(key, **kwargs))
for key, value in RSS_FIELDS.items()
}
def pipe_dateformat(context=None, _INPUT=None, conf=None, **kwargs):
"""Formats a datetime value. Loopable.
Parameters
----------
context : pipe2py.Context object
_INPUT : pipedatebuilder pipe like object (iterable of date timetuples)
conf : {
'format': {'value': <'%B %d, %Y'>},
'timezone': {'value': <'EST'>}
}
Yields
------
_OUTPUT : formatted dates
"""
conf = DotDict(conf)
loop_with = kwargs.pop('with', None)
date_format = conf.get('format', **kwargs)
# timezone = conf.get('timezone', **kwargs)
for item in _INPUT:
_with = item.get(loop_with, **kwargs) if loop_with else item
try:
# todo: check that all PHP formats are covered by Python
date_string = time.strftime(date_format, _with)
except TypeError as e:
if context and context.verbose:
print 'Error formatting date: %s' % item
print e
continue
else:
yield date_string
def pipe_dateformat(context=None, _INPUT=None, conf=None, **kwargs):
"""This source formats a date.
Keyword arguments:
context -- pipeline context
_INPUT -- source generator
conf:
format -- date format
Yields (_OUTPUT):
formatted date
"""
conf = DotDict(conf)
date_format = conf.get('format', **kwargs)
date = ()
for item in _INPUT:
if not hasattr(item, 'tm_year'):
date = util.get_date(item)
date = date.timetuple() if date else item
if not date:
raise Exception('Unexpected date format: %s' % date_format)
try:
# todo: check that all PHP formats are covered by Python
date_string = time.strftime(date_format, date)
except TypeError:
# silent error handling e.g. if item is not a date
continue
else:
yield date_string
def pipe_stringtokenizer(context=None, _INPUT=None, conf=None, **kwargs):
"""Splits a string into tokens delimited by separators.
Keyword arguments:
context -- pipeline context
_INPUT -- source generator
conf:
to-str -- separator string
Yields (_OUTPUT):
tokens of the input string
"""
conf = DotDict(conf)
delim = conf.get('to-str', **kwargs)
for item in _INPUT:
for chunk in item.split(delim):
yield {'content': chunk}
try:
forever = item.get('forever')
except AttributeError:
forever = False
if forever:
# _INPUT is pipeforever and not a loop,
# so we just yield our item once
break
def pipe_substr(context=None, _INPUT=None, conf=None, **kwargs):
"""Returns a substring.
Keyword arguments:
context -- pipeline context
_INPUT -- source generator
conf:
from -- starting character
length -- number of characters to return
Yields (_OUTPUT):
portion of source string
"""
conf = DotDict(conf)
start = conf.get('from', func=int, **kwargs)
length = conf.get('length', func=int, **kwargs)
for item in _INPUT:
yield item[start:start + length]
if item.get('forever'):
# _INPUT is pipeforever and not a loop,
# so we just yield our item once
break
def pipe_urlbuilder(context=None, _INPUT=None, conf=None, **kwargs):
"""This source builds a url and yields it forever.
Keyword arguments:
context -- pipeline context
_INPUT -- not used
conf:
BASE -- base
PATH -- path elements
PARAM -- query parameters
Yields (_OUTPUT):
url
"""
conf = DotDict(conf)
paths = util.listize(conf.get('PATH')) # use .get() incase 'PATH' isnt set
param_defs = util.listize(conf['PARAM'])
url = None
for item in _INPUT:
# if _INPUT is pipeforever and not a loop, get values from cache
if not url:
item = DotDict(item)
forever = item.get('forever')
url = conf.get('BASE', **kwargs)
url += '/' if not url.endswith('/') else url
url += "/".join(str(p) for p in paths if p)
url = url.rstrip("/")
url = util.url_quote(url) # Ensure url is valid
params = dict(_gen_params(param_defs, item, **kwargs))
if params and params.keys() != [u'']:
url += "?" + urllib.urlencode(params)
yield url
url = url if forever else None
def pipe_yql(context=None, _INPUT=None, conf=None, **kwargs):
"""A source that issues YQL queries. Loopable.
Parameters
----------
context : pipe2py.Context object
_INPUT : pipeforever pipe or an iterable of items or fields
conf : yqlquery -- YQL query
# todo: handle envURL
Yields
------
_OUTPUT : query results
"""
# todo: get from a config/env file
url = "http://query.yahooapis.com/v1/public/yql"
conf = DotDict(conf)
query = conf['yqlquery']
for item in _INPUT:
item = DotDict(item)
yql = utils.get_value(query, item, **kwargs)
# note: we use the default format of xml since json loses some
# structure
# todo: diagnostics=true e.g. if context.test
# todo: consider paging for large result sets
r = requests.get(url, params={'q': yql}, stream=True)
# Parse the response
tree = parse(r.raw)
if context and context.verbose:
print "pipe_yql loading xml:", yql
root = tree.getroot()
# note: query also has row count
results = root.find('results')
# Convert xml into generation of dicts
for element in results.getchildren():
yield utils.etree_to_dict(element)
if item.get('forever'):
# _INPUT is pipeforever and not a loop,
# so we just yield our item once
break
def pipe_tail(context=None, _INPUT=None, conf=None, **kwargs):
"""This operator truncates the number of items in a feed.
Keyword arguments:
context -- pipeline context
_INPUT -- source generator
kwargs -- terminal, if the truncation value is wired in
conf:
count -- length of the truncated feed, if specified literally
Yields (_OUTPUT):
tail-truncated list of source items
"""
conf = DotDict(conf)
limit = conf.get('count', func=int, **kwargs)
for item in deque(_INPUT, limit):
yield item
def pipe_tail(context=None, _INPUT=None, conf=None, **kwargs):
"""Returns a specified number of items from the bottom of a feed.
Parameters
----------
context : pipe2py.Context object
_INPUT : pipe2py.modules pipe like object (iterable of items)
kwargs -- terminal, if the truncation value is wired in
conf : count -- length of the truncated feed, if specified literally
Yields
------
_OUTPUT : items
"""
conf = DotDict(conf)
limit = conf.get('count', func=int, **kwargs)
for item in deque(_INPUT, limit):
yield item
def pipe_uniq(context=None, _INPUT=None, conf=None, **kwargs):
"""This operator filters out non unique items according to the specified
field.
Keyword arguments:
context -- pipeline context
_INPUT -- source generator
kwargs -- other inputs, e.g. to feed terminals for rule values
conf:
field -- field to be unique
Yields (_OUTPUT):
source items, one per unique field value
"""
seen = set()
conf = DotDict(conf)
field = conf.get('field', **kwargs)
for item in _INPUT:
value = DotDict(item).get(field)
if value not in seen:
seen.add(value)
yield item
def pipe_csv(context=None, _INPUT=None, conf=None, **kwargs):
"""This source fetches and parses a csv file to yield items.
Keyword arguments:
context -- pipeline context
_INPUT -- not used
conf:
URL -- url
skip -- number of header rows to skip
col_mode -- column name source: row=header row(s),
custom=defined in col_name
col_name -- list of custom column names
col_row_start -- first column header row
col_row_end -- last column header row
separator -- column separator
Yields (_OUTPUT):
file entries
Note:
Current restrictions:
separator must be 1 character
assumes every row has exactly the expected number of fields, as defined
in the header
"""
conf = DotDict(conf)
conf_sep = conf['separator']
conf_mode = conf['col_mode']
col_name = conf['col_name']
for item in _INPUT:
item = DotDict(item)
url = util.get_value(conf['URL'], item, **kwargs)
url = util.get_abspath(url)
separator = util.get_value(conf_sep, item, encode=True, **kwargs)
skip = util.get_value(conf['skip'], item, func=int, **kwargs)
col_mode = util.get_value(conf_mode, item, **kwargs)
f = urlopen(url)
if context and context.verbose:
print "pipe_csv loading:", url
for i in xrange(skip):
f.next()
reader = csv.UnicodeReader(f, delimiter=separator)
fieldnames = []
if col_mode == 'custom':
fieldnames = [DotDict(x).get() for x in col_name]
else:
fieldnames = _gen_fieldnames(conf, reader, item, **kwargs)
for rows in reader:
yield dict(zip(fieldnames, rows))
f.close()
if item.get('forever'):
# _INPUT is pipeforever and not a loop,
# so we just yield our item once
break
def pipe_loop(context, _INPUT, conf, embed=None, **kwargs):
"""This operator loops over the input performing the embedded submodule.
Keyword arguments:
context -- pipeline context
_INPUT -- source generator
kwargs -- other inputs, e.g. to feed terminals for rule values
conf:
mode -- how to affect output - either assign or EMIT
assign_to -- if mode is assign, which field to assign to
(new or existing)
loop_with -- pass a particular field into the submodule rather than the
whole item
embed -- embedded submodule
Yields (_OUTPUT):
source items after passing through the submodule and adding/replacing values
"""
conf = DotDict(conf)
mode = conf.get('mode')
assign_to = conf.get('assign_to')
assign_part = conf.get('assign_part')
# TODO: what is this for??
# emit_part = conf.get('emit_part')
loop_with = conf.get('with')
embed_conf = conf.get('embed')['conf']
# Prepare the submodule to take parameters from the loop instead of from
# the user
embed_context = copy(context)
embed_context.submodule = True
for item in _INPUT:
item = DotDict(item)
inp = item.get(loop_with, **kwargs) if loop_with else item
# prepare the submodule
embed_context.inputs = dict(_gen_inputs(item, embed_conf))
submodule = embed(embed_context, [inp], embed_conf)
first = assign_part == 'first'
results = _gen_results(submodule, mode, first)
if not results:
continue
elif mode == 'EMIT':
for i in results:
yield i
elif mode == 'assign':
results = list(results)
# this is a hack to make sure fetchpage works in an out of a
# loop while not disturbing strconcat in a loop etc.
# note: i suspect this needs to be more discerning and only happen
# if the source can only ever deliver 1 result, e.g. strconcat vs.
# fetchpage
if len(results) == 1 and not hasattr(results[0], 'keys'):
results = results[0]
item.set(assign_to, results)
yield item
else:
raise Exception(
"Invalid mode: %s. (Expected 'assign' or 'EMIT')" % mode)
def pipe_csv(context=None, _INPUT=None, conf=None, **kwargs):
"""A source that fetches and parses a csv file to yield items. Loopable.
Parameters
----------
context : pipe2py.Context object
_INPUT : pipeforever pipe or an iterable of items or fields
conf : URL -- url
skip -- number of header rows to skip
col_mode -- column name source: row=header row(s),
custom=defined in col_name
col_name -- list of custom column names
col_row_start -- first column header row
col_row_end -- last column header row
separator -- column separator
Yields
------
_OUTPUT : items
Note:
Current restrictions:
separator must be 1 character
assumes every row has exactly the expected number of fields, as defined
in the header
"""
conf = DotDict(conf)
conf_sep = conf["separator"]
conf_mode = conf["col_mode"]
col_name = conf["col_name"]
for item in _INPUT:
item = DotDict(item)
url = utils.get_value(conf["URL"], item, **kwargs)
url = utils.get_abspath(url)
separator = utils.get_value(conf_sep, item, encode=True, **kwargs)
skip = int(utils.get_value(conf["skip"], item, **kwargs))
col_mode = utils.get_value(conf_mode, item, **kwargs)
f = urlopen(url)
if context and context.verbose:
print "pipe_csv loading:", url
for i in xrange(skip):
f.next()
reader = csv.UnicodeReader(f, delimiter=separator)
fieldnames = []
if col_mode == "custom":
fieldnames = [DotDict(x).get() for x in col_name]
else:
fieldnames = _gen_fieldnames(conf, reader, item, **kwargs)
for rows in reader:
yield dict(zip(fieldnames, rows))
f.close()
if item.get("forever"):
# _INPUT is pipeforever and not a loop,
# so we just yield our item once
break
def pipe_fetchpage(context=None, _INPUT=None, conf=None, **kwargs):
"""A source that fetches the content of a given web site as a string.
Loopable.
context : pipe2py.Context object
_INPUT : pipeforever asyncPipe or an iterable of items or fields
conf : dict
URL -- url object contain the URL to download
from -- string from where to start the input
to -- string to limit the input
token -- if present, split the input on this token to generate items
Description: http://pipes.yahoo.com/pipes/docs?doc=sources#FetchPage
TODOS:
- don't retrieve pages larger than 200k
- don't retrieve if page is not indexable.
- item delimiter removes the closing tag if using a HTML tag
(not documented but happens)
- items should be cleaned, i.e. stripped of HTML tags
Yields
------
_OUTPUT : items
"""
conf = DotDict(conf)
split_token = conf.get('token', **kwargs)
urls = utils.listize(conf['URL'])
for item in _INPUT:
for item_url in urls:
url = utils.get_value(DotDict(item_url), DotDict(item), **kwargs)
url = utils.get_abspath(url)
if not url:
continue
f = urlopen(url)
# TODO: it seems that Yahoo! converts relative links to
# absolute. This needs to be done on the content but seems to
# be a non-trival task python?
content = unicode(f.read(), 'utf-8')
if context and context.verbose:
print '............Content .................'
print content
print '...............EOF...................'
parsed = _parse_content(content, conf, **kwargs)
items = parsed.split(split_token) if split_token else [parsed]
if context and context.verbose:
print "FetchPage: found count items:", len(items)
for i in items:
if context and context.verbose:
print "--------------item data --------------------"
print i
print "--------------EOF item data ----------------"
yield {"content": i}
if item.get('forever'):
# _INPUT is pipeforever and not a loop,
# so we just yield our item once
break
def _gen_order(keys, **kwargs):
for key in keys:
key = DotDict(key)
field = key.get('field', **kwargs)
sort_dir = key.get('dir', **kwargs)
yield '%s%s' % (sort_dir == 'DESC' and '-' or '', field)
def pipe_fetchpage(context=None, _INPUT=None, conf=None, **kwargs):
"""Fetch Page module
_INPUT -- not used since this does not have inputs.
conf:
URL -- url object contain the URL to download
from -- string from where to start the input
to -- string to limit the input
token -- if present, split the input on this token to generate items
Description: http://pipes.yahoo.com/pipes/docs?doc=sources#FetchPage
TODOS:
- don't retrieve pages larger than 200k
- don't retrieve if page is not indexable.
- item delimiter removes the closing tag if using a HTML tag
(not documented but happens)
- items should be cleaned, i.e. stripped of HTML tags
"""
conf = DotDict(conf)
split_token = conf.get('token', **kwargs)
urls = util.listize(conf['URL'])
for item in _INPUT:
for item_url in urls:
url = util.get_value(DotDict(item_url), DotDict(item), **kwargs)
url = util.get_abspath(url)
if not url:
continue
f = urlopen(url)
# TODO: it seems that Yahoo! converts relative links to
# absolute. This needs to be done on the content but seems to
# be a non-trival task python?
content = unicode(f.read(), 'utf-8')
if context and context.verbose:
print '............Content .................'
print content
print '...............EOF...................'
parsed = _parse_content(content, conf, **kwargs)
items = parsed.split(split_token) if split_token else [parsed]
if context and context.verbose:
print "FetchPage: found count items:", len(items)
for i in items:
if context and context.verbose:
print "--------------item data --------------------"
print i
print "--------------EOF item data ----------------"
yield {"content": i}
if item.get('forever'):
# _INPUT is pipeforever and not a loop,
# so we just yield our item once
break
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 pipe_csv(context=None, _INPUT=None, conf=None, **kwargs):
"""A source that fetches and parses a csv file to yield items. Loopable.
Parameters
----------
context : pipe2py.Context object
_INPUT : pipeforever pipe or an iterable of items or fields
conf : URL -- url
skip -- number of header rows to skip
col_mode -- column name source: row=header row(s),
custom=defined in col_name
col_name -- list of custom column names
col_row_start -- first column header row
col_row_end -- last column header row
separator -- column separator
Yields
------
_OUTPUT : items
Note:
Current restrictions:
separator must be 1 character
assumes every row has exactly the expected number of fields, as defined
in the header
"""
conf = DotDict(conf)
conf_sep = conf['separator']
conf_mode = conf['col_mode']
col_name = conf['col_name']
for item in _INPUT:
item = DotDict(item)
url = utils.get_value(conf['URL'], item, **kwargs)
url = utils.get_abspath(url)
separator = utils.get_value(conf_sep, item, encode=True, **kwargs)
skip = int(utils.get_value(conf['skip'], item, **kwargs))
col_mode = utils.get_value(conf_mode, item, **kwargs)
f = urlopen(url)
if context and context.verbose:
print "pipe_csv loading:", url
for i in xrange(skip):
f.next()
reader = csv.UnicodeReader(f, delimiter=separator)
fieldnames = []
if col_mode == 'custom':
fieldnames = [DotDict(x).get() for x in col_name]
else:
fieldnames = _gen_fieldnames(conf, reader, item, **kwargs)
for rows in reader:
yield dict(zip(fieldnames, rows))
f.close()
if item.get('forever'):
# _INPUT is pipeforever and not a loop,
# so we just yield our item once
break
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 pipe_fetchdata(context=None, _INPUT=None, conf=None, **kwargs):
"""Fetches and parses an XML or JSON file.
Parameters
----------
context : pipe2py.Context object
_INPUT : source generator of dicts
conf : dict
{
'URL': {'value': url},
'path': {'value': dot separated path to data list}
}
Yields
------
_OUTPUT : pipe items fetched from source
Examples
--------
>>> from os import path as p
>>> from pipe2py.modules.pipeforever import pipe_forever
>>> parent = p.dirname(p.dirname(__file__))
>>> abspath = p.abspath(p.join(parent, 'data', 'gigs.json'))
>>> path = 'value.items'
>>> url = "file://%s" % abspath
>>> conf = {'URL': {'value': url}, 'path': {'value': path}}
>>> pipe_fetchdata(_INPUT=pipe_forever(), conf=conf).next().keys()[:5]
[u'y:repeatcount', u'description', u'pubDate', u'title', u'y:published']
>>> abspath = p.abspath(p.join(parent, 'data', 'places.xml'))
>>> path = 'appointment'
>>> url = "file://%s" % abspath
>>> conf = {'URL': {'value': url}, 'path': {'value': path}}
>>> sorted(pipe_fetchdata(_INPUT=pipe_forever(), conf=conf).next().keys())
['alarmTime', 'begin', 'duration', 'places', 'subject', 'uid']
>>> conf = {'URL': {'value': url}, 'path': {'value': ''}}
>>> sorted(pipe_fetchdata(_INPUT=pipe_forever(), conf=conf).next().keys())
['appointment', 'reminder']
"""
# todo: iCal and KML
conf = DotDict(conf)
urls = util.listize(conf['URL'])
for item in _INPUT:
for item_url in urls:
item = DotDict(item)
url = util.get_value(DotDict(item_url), item, **kwargs)
url = util.get_abspath(url)
f = urlopen(url)
path = util.get_value(conf['path'], item, **kwargs)
split_path = path.split(".") if path else []
res = {}
try:
tree = objectify.parse(f)
root = tree.getroot()
except XMLSyntaxError:
if context and context.verbose:
print "pipe_fetchdata loading json:", url
f = urlopen(url)
element = loads(f.read())
else:
if context and context.verbose:
print "pipe_fetchdata loading xml:", url
# print etree.tostring(element, pretty_print=True)
element = util.etree_to_dict(root)
finally:
res = _parse_dict(split_path, element) if element else None
for i in util.gen_items(res, True):
yield i
if item.get('forever'):
# _INPUT is pipeforever and not a loop,
# so we just yield our item once
break
def pipe_xpathfetchpage(context=None, _INPUT=None, conf=None, **kwargs):
"""XPath Fetch Page module
_INPUT -- not used since this does not have inputs.
conf:
URL -- url object contain the URL to download
xpath -- xpath to extract
html5 -- use html5 parser?
useAsString -- emit items as string?
Description: http://pipes.yahoo.com/pipes/docs?doc=sources#XPathFetchPage
TODOS:
- don't retrieve pages larger than 1.5MB
- don't retrieve if page is not indexable.
"""
conf = DotDict(conf)
urls = util.listize(conf['URL'])
for item in _INPUT:
for item_url in urls:
url = util.get_value(DotDict(item_url), DotDict(item), **kwargs)
url = util.get_abspath(url)
f = urlopen(url)
# TODO: it seems that Yahoo! converts relative links to
# absolute. This needs to be done on the content but seems to
# be a non-trival task python?
content = unicode(f.read(), 'utf-8')
if context and context.verbose:
print '............Content .................'
print content
print '...............EOF...................'
xpath = conf.get('xpath', **kwargs)
html5 = conf.get('html5', **kwargs) == 'true'
use_as_string = conf.get('useAsString', **kwargs) == 'true'
tree = html5parser.parse(f) if html5 else html.parse(f)
root = tree.getroot()
items = root.xpath(xpath)
if context and context.verbose:
print 'XPathFetchPage: found count items:', len(items)
for etree in items:
i = util.etree_to_dict(etree)
if context and context.verbose:
print '--------------item data --------------------'
print i
print '--------------EOF item data ----------------'
if use_as_string:
yield {'content': unicode(i)}
else:
yield i
if item.get('forever'):
# _INPUT is pipeforever and not a loop,
# so we just yield our item once
break
def pipe_xpathfetchpage(context=None, _INPUT=None, conf=None, **kwargs):
"""A source that fetches the content of a given website as DOM nodes or a
string. Loopable.
context : pipe2py.Context object
_INPUT : pipeforever pipe or an iterable of items or fields
conf : dict
URL -- url object contain the URL to download
xpath -- xpath to extract
html5 -- use html5 parser?
useAsString -- emit items as string?
TODOS:
- don't retrieve pages larger than 1.5MB
- don't retrieve if page is not indexable.
Yields
------
_OUTPUT : items
"""
conf = DotDict(conf)
urls = utils.listize(conf['URL'])
for item in _INPUT:
for item_url in urls:
url = utils.get_value(DotDict(item_url), DotDict(item), **kwargs)
url = utils.get_abspath(url)
f = urlopen(url)
# TODO: it seems that Yahoo! converts relative links to
# absolute. This needs to be done on the content but seems to
# be a non-trival task python?
content = unicode(f.read(), 'utf-8')
if context and context.verbose:
print '............Content .................'
print content
print '...............EOF...................'
xpath = conf.get('xpath', **kwargs)
html5 = conf.get('html5', **kwargs) == 'true'
use_as_string = conf.get('useAsString', **kwargs) == 'true'
tree = html5parser.parse(f) if html5 else html.parse(f)
root = tree.getroot()
items = root.xpath(xpath)
if context and context.verbose:
print 'XPathFetchPage: found count items:', len(items)
for etree in items:
i = utils.etree_to_dict(etree)
if context and context.verbose:
print '--------------item data --------------------'
print i
print '--------------EOF item data ----------------'
if use_as_string:
yield {'content': unicode(i)}
else:
yield i
if item.get('forever'):
# _INPUT is pipeforever and not a loop,
# so we just yield our item once
break