blob: aa2934a069e16b70a7f67adcd76a1fd736bbade0 [file] [log] [blame]
import csv
from ..common.info import ID, UNKNOWN
from ..common.util import read_tsv
from .info import Variable
# XXX need tests:
# * read_file()
# * look_up_variable()
COLUMNS = ('filename', 'funcname', 'name', 'kind', 'declaration')
HEADER = '\t'.join(COLUMNS)
def read_file(infile, *,
_read_tsv=read_tsv,
):
"""Yield (kind, id, decl) for each row in the data file.
The caller is responsible for validating each row.
"""
for row in _read_tsv(infile, HEADER):
filename, funcname, name, kind, declaration = row
if not funcname or funcname == '-':
funcname = None
id = ID(filename, funcname, name)
yield kind, id, declaration
def from_file(infile, *,
handle_var=Variable.from_id,
_read_file=read_file,
):
"""Return the info for known declarations in the given file."""
known = {
'variables': {},
#'types': {},
#'constants': {},
#'macros': {},
}
for kind, id, decl in _read_file(infile):
if kind == 'variable':
values = known['variables']
value = handle_var(id, decl)
else:
raise ValueError(f'unsupported kind in row {row}')
value.validate()
values[id] = value
return known
def look_up_variable(varid, knownvars, *,
match_files=(lambda f1, f2: f1 == f2),
):
"""Return the known Variable matching the given ID.
"knownvars" is a mapping of ID to Variable.
"match_files" is used to verify if two filenames point to
the same file.
If no match is found then None is returned.
"""
if not knownvars:
return None
if varid.funcname == UNKNOWN:
if not varid.filename or varid.filename == UNKNOWN:
for varid in knownvars:
if not varid.funcname:
continue
if varid.name == varid.name:
return knownvars[varid]
else:
return None
else:
for varid in knownvars:
if not varid.funcname:
continue
if not match_files(varid.filename, varid.filename):
continue
if varid.name == varid.name:
return knownvars[varid]
else:
return None
elif not varid.filename or varid.filename == UNKNOWN:
raise NotImplementedError
else:
return knownvars.get(varid.id)