def _load_bags(self, path, **kwargs):
''' Load bag files and generates TeX code from them.
@ param path: directory where .pickle files lives.
@ param template: a TexSreTemplate instance to extract placeholders
from.
@ return: dictionary of output TeX code; the dictionary is indexed by
bag.COD
'''
ret = dict()
# Make a placeholders list to fetch only needed files and to let access
# to single Pickle attributes.
ph_list = [ph[2] for ph in self.pattern.findall(self.template)]
try:
ph_list.remove(str()) # Remove placeholder command definition.
except ValueError:
pass
# In case of multiple instance of a placeholder, evaluate only once.
ph_list = list(set(ph_list))
self._logger.info("Reading pickles...")
bags = dict() # Pickle file's cache (never load twice the same file!)
for ph in ph_list:
ph_parts = ph.split('.')
base = ph_parts[0]
if not bags.get(base, False):
# Load and add to cache
self._logger.debug('Now loading: %s', os.path.join(
path, '.'.join([base, 'pickle'])))
try:
bags[base] = Bag.load(os.path.join(path, '.'.join(
[base, 'pickle'])))
except IOError, err:
self._logger.warning('%s; skipping...', err)
continue
# Generate string to substitute to the placeholder
if bags[base].stype == 'tab':
ret[base] = self._make_table(bags[base], **kwargs).out()
elif bags[base].stype == 'ltab':
ret[base] = self._make_table(bags[base], tab_type='ltab', **kwargs).out()
elif bags[base].stype == 'bodytab':
ret[base] = self._make_table(bags[base], tab_type='bodytab', **kwargs).out()
elif bags[base].stype == 'graph':
ret[base], fd = self._make_graph(bags[base], **kwargs).out()
self._fds.append(fd)
elif bags[base].stype == 'desc':
ret[base] = self._make_des(bags[base], **kwargs).out()
else: # TODO: handle other types
self._logger.debug('bags = %s', bags)
self._logger.warning(
"Unhandled bag stype '%s' found in %s, skipping...",
bags[base].stype, base)
continue
if len(ph_parts) > 1 and \
hasattr(bags[base], '.'.join(ph_parts[1:])):
# extract attribute
# TODO: apply translation
ret[ph] = bags[base].__getattribute__('.'.join(ph_parts[1:]))
'vsep': 'l',
'headers' : [u'Milioni di €', 'AAAAAAAAAAAAAAA']},
'B': {'order': 1,
'align': 'c',
'vsep': 'b',
'headers' : [u"""Milioni di €""", 'BBBBBBBBBBBBBBBBB']},
'C': {'order': 2,
'align': 'r',
'vsep': 'r',
'headers' : ['@v1', 'CCCCCCCCCCCCCCCCCCCC']},
}
}
}
df = pandas.DataFrame({
'A': np.random.rand(10) * 100000,
'B': np.random.rand(10) * 100000,
'C': np.random.rand(10) * 100000,
})
base = '/tmp/test/'
if not os.path.isdir(base):
os.makedirs(base)
mybag = Bag(df, md=md, stype='tab')
mybag.save(os.path.join(base, 'mybag.pickle'))
assert test_latex() == 0
assert test_html(mybag) == 0
'vars': {
'a': {'type': 'lax',
'ax': 'sx',
'label': 'AAA'},
'b': {'type': 'scatter',
'ax': 'sx',
'label': 'BBB',
'color': 'b'},
}}}
df_sc = pandas.DataFrame({
'a': [59.9, 46.2, 0],
'b': [13.6, 7.1, 2],
})
plot = Bag(df, md=lm_plot, stype='graph')
bar = Bag(df, md=lm_bar, stype='graph')
sidebarh = Bag(df, md=lm_sidebarh, stype='graph')
sidebar = Bag(df, md=lm_sidebar, stype='graph')
barh = Bag(df, md=lm_barh, stype='graph')
scat = Bag(df_sc, md=lm_sc, stype='graph')
base = '/tmp/test/'
if not os.path.isdir(base):
os.makedirs(base)
plot.save(os.path.join(base, "plot.pickle"))
bar.save(os.path.join(base, "bar.pickle"))
barh.save(os.path.join(base, "barh.pickle"))
sidebar.save(os.path.join(base, "sidebar.pickle"))
sidebarh.save(os.path.join(base, "sidebarh.pickle"))