def csv_lines(self):
# a module with a dependency on a fortran and c file, plus a mo commented dep
data = [
AnalysedFile(fpath='my_mod.f90',
file_hash=123,
module_defs={'my_mod'},
symbol_defs={'my_mod'},
symbol_deps={'dep1_mod', 'dep2'},
mo_commented_file_deps={'mo_dep.c'}),
AnalysedFile(fpath='dep1_mod.f90',
file_hash=234,
module_defs={'dep1_mod'},
symbol_defs={'dep1_mod'}),
AnalysedFile(fpath='dep2.c', file_hash=345, symbol_defs={'dep2'}),
]
lines = [','.join(AnalysedFile.field_names())] # header row
for af in data:
str_dict = af.to_str_dict()
columns = [str_dict[field_name] for field_name in af.field_names()]
row = ','.join(columns)
lines.append(row)
return lines
def _new_analysis_file(self, unchanged: Iterable[AnalysedFile]):
"""
Create the analysis file from scratch, containing any content from its previous version which is still valid.
The returned context is a csv.DictWriter.
"""
with TimerLogger("starting analysis progress file"):
analysis_progress_file = open(
self._config.project_workspace / "__analysis.csv", "wt")
analysis_dict_writer = csv.DictWriter(
analysis_progress_file, fieldnames=AnalysedFile.field_names())
analysis_dict_writer.writeheader()
# re-write the progress so far
unchanged_rows = (af.to_str_dict() for af in unchanged)
analysis_dict_writer.writerows(unchanged_rows)
analysis_progress_file.flush()
yield analysis_dict_writer
analysis_progress_file.close()