utils.exit_unless_accessible(args.calls)
utils.setup_logging(verbosity=args.verbose)
# Load graph database (remove duplicates)
df_all = df_from_csv_file(args.calls)
df = df_all.drop_duplicates()
from_fun, to_fun = args.from_function, args.to_function
left, right = search_settings(args.direction, args.cutoff)
merge_on = ["caller_filename", "caller_function", "callee_filename", "callee_function"]
chains_df_right = pd.DataFrame(columns=merge_on)
if right:
chains_df_right = find_chains_directed_df(df, from_fun, to_fun, right)
chains_df_left = pd.DataFrame(columns=merge_on)
if left:
chains_df_left = find_chains_directed_df(df, from_fun, to_fun, left)
_LOGGER.info("Generating the results...")
df_chains = pd.concat([chains_df_left, chains_df_right]).drop_duplicates()
df_chains = pd.merge(df_all, df_chains, on=merge_on, how='inner')
if args.out.endswith(".csv"):
df_to_csv_file(df_chains, args.out)
else:
grapher = Grapher(args.out)
grapher.graph(df_chains)
grapher.render(args.out)
_LOGGER.info("Done")
