def gen_canonical_transform(elec_inven_data_idx, regen=True):
# TODO Support Unified Transforms?
reader = get_reader(elec_inven_data_idx)
if not reader:
return
outp = reader.tf_path
outf = fsutils.VersionedOutputFile(outp)
outw = csv.writer(outf)
outw.writerow(
('Current', 'gEDA Current', 'Ideal', 'Status', 'In Symlib')
)
for line in reader.row_gen:
if regen and reader.tf.has_contextual_repr(line[0]):
if gsymlib.is_recognized(reader.tf.get_canonical_repr(line[0])):
in_symlib = 'YES'
else:
in_symlib = ''
outw.writerow((line[0],
reader.tf.get_canonical_repr(line[0]),
reader.tf.get_ideal_repr(line[0]),
reader.tf.get_status(line[0]),
in_symlib,))
else:
if gsymlib.is_recognized(line[0]):
in_symlib = True
else:
in_symlib = False
outw.writerow((line[0], line[0], line[0], 'NEW', in_symlib))
outf.close()
def gen_canonical_transform(elec_inven_data_idx, regen=True):
sdict = config.ELECTRONICS_INVENTORY_DATA[elec_inven_data_idx]
if sdict['type'] == 'QuazarStockXLS':
fpath = sdict['fpath']
if not os.path.isabs(fpath):
fpath = config.get_svn_path(fpath)
sname = sdict['sname']
location = sdict['location']
tfpath = sdict['tfpath']
rdr = get_stockxlsreader(fpath, sname, location, tfpath)
outp = tfpath
outf = fsutils.VersionedOutputFile(outp)
outw = csv.writer(outf)
outw.writerow(
('Current', 'gEDA Current', 'Ideal', 'Status', 'In Symlib')
)
for line in rdr.row_gen:
if regen and rdr.tf.has_contextual_repr(line[0]):
if gsymlib.is_recognized(rdr.tf.get_canonical_repr(line[0])):
in_symlib = 'YES'
else:
in_symlib = ''
outw.writerow((line[0],
rdr.tf.get_canonical_repr(line[0]),
rdr.tf.get_ideal_repr(line[0]),
rdr.tf.get_status(line[0]),
in_symlib,))
else:
if gsymlib.is_recognized(line[0]):
in_symlib = True
else:
in_symlib = False
outw.writerow((line[0], line[0], line[0], 'NEW', in_symlib))
outf.close()
def update_on_disk(self):
# TODO this function makes the implementation somewhat specific
# to inventory transforms. Consider refactoring.
outf = fsutils.VersionedOutputFile(self._tfpath)
outw = csv.writer(outf)
outw.writerow(
('Current', 'gEDA Current', 'Ideal', 'Status', 'In Symlib')
)
for name in self.names:
canonical = self.get_canonical_repr(name)
if gsymlib.is_recognized(canonical):
in_symlib = 'YES'
else:
in_symlib = ''
outw.writerow((name,
canonical,
self.get_ideal_repr(name),
self.get_status(name),
in_symlib,))
outf.close()
def update_transform(location_idx):
loc = invelectronics.get_inventory_location(idx=location_idx)
form = TransformUpdateForm(names=loc.tf.names)
if form.validate_on_submit():
contextual = form.contextual.data
if contextual in loc.tf.names:
canonical = form.canonical.data
status = form.status.data
loc.tf.set_canonical_repr(contextual, canonical)
loc.tf.set_status(contextual, status)
loc.tf.update_on_disk()
return jsonify({
'success': True,
'contextual': contextual,
'canonical': canonical,
'status': status,
'in_symlib': gsymlib.is_recognized(canonical)
})
else:
return jsonify({'success': False})
def update_on_disk(self):
# TODO this function makes the implementation somewhat specific
# to inventory transforms. Consider refactoring.
outf = fsutils.VersionedOutputFile(self._tfpath)
outw = csv.writer(outf)
outw.writerow(
('Current', 'gEDA Current', 'Ideal', 'Status', 'In Symlib'))
for name in self.names:
canonical = self.get_canonical_repr(name)
if gsymlib.is_recognized(canonical):
in_symlib = 'YES'
else:
in_symlib = ''
outw.writerow((
name,
canonical,
self.get_ideal_repr(name),
self.get_status(name),
in_symlib,
))
outf.close()
def in_gsymlib(ident):
return gsymlib.is_recognized(ident)
def is_recognized(ident):
if gsymlib.is_recognized(ident):
return True
if ident in pcblib:
return True
return False
def in_gsymlib(self):
if gsymlib.is_recognized(self.ident):
return "YES"
return None
def in_gsymlib(self):
if gsymlib.is_recognized(self.ident):
return "YES"
return None
def in_gsymlib(ident):
return gsymlib.is_recognized(ident)
def is_recognized(ident):
if gsymlib.is_recognized(ident):
return True
if ident in pcblib:
return True
return False