def write_flat_table(hs):
dbdir = hs.dirs.db_dir
# Make flat table
valid_cx = hs.get_valid_cxs()
flat_table = make_flat_table(hs, valid_cx)
flat_table_fpath = join(dbdir, 'flat_table.csv')
# Write flat table
print('[ld2] Writing flat table')
helpers.write_to(flat_table_fpath, flat_table)
def __dump_text_report(allres, report_type):
if not 'report_type' in vars():
report_type = 'rankres_str'
print('[rr2] Dumping textfile: ' + report_type)
report_str = allres.__dict__[report_type]
# Get directories
result_dir = allres.hs.dirs.result_dir
timestamp_dir = join(result_dir, 'timestamped_results')
helpers.ensurepath(timestamp_dir)
helpers.ensurepath(result_dir)
# Write to timestamp and result dir
timestamp = helpers.get_timestamp()
csv_timestamp_fname = report_type + allres.title_suffix + timestamp + '.csv'
csv_timestamp_fpath = join(timestamp_dir, csv_timestamp_fname)
csv_fname = report_type + allres.title_suffix + '.csv'
csv_fpath = join(result_dir, csv_fname)
helpers.write_to(csv_fpath, report_str)
helpers.write_to(csv_timestamp_fpath, report_str)
def __dump_text_report(allres, report_type):
if not 'report_type' in vars():
report_type = 'rankres_str'
print('[rr2] Dumping textfile: ' + report_type)
report_str = allres.__dict__[report_type]
# Get directories
result_dir = allres.hs.dirs.result_dir
timestamp_dir = join(result_dir, 'timestamped_results')
helpers.ensurepath(timestamp_dir)
helpers.ensurepath(result_dir)
# Write to timestamp and result dir
timestamp = helpers.get_timestamp()
csv_timestamp_fname = report_type + allres.title_suffix + timestamp + '.csv'
csv_timestamp_fpath = join(timestamp_dir, csv_timestamp_fname)
csv_fname = report_type + allres.title_suffix + '.csv'
csv_fpath = join(result_dir, csv_fname)
helpers.write_to(csv_fpath, report_str)
helpers.write_to(csv_timestamp_fpath, report_str)
def write_to_wrapper(csv_fpath, csv_string):
if exists(csv_fpath) and DIFF_CHECK:
print('table already exists: %r' % csv_fpath)
with open(csv_fpath) as file:
csv_string2 = file.read()
if csv_string2 == csv_string:
print('No difference!')
else:
print('difference!')
#print('--------')
#print(csv_string2)
#print('--------')
#print(csv_string)
#print('--------')
#diff_str = diff_strings(csv_string2, csv_string)
#print(diff_str)
#print('--------')
else:
helpers.write_to(csv_fpath, csv_string)
def write_to_wrapper(csv_fpath, csv_string):
if exists(csv_fpath) and DIFF_CHECK:
print('table already exists: %r' % csv_fpath)
with open(csv_fpath) as file:
csv_string2 = file.read()
if csv_string2 == csv_string:
print('No difference!')
else:
print('difference!')
#print('--------')
#print(csv_string2)
#print('--------')
#print(csv_string)
#print('--------')
#diff_str = diff_strings(csv_string2, csv_string)
#print(diff_str)
#print('--------')
else:
helpers.write_to(csv_fpath, csv_string)
def tune_flann(data, **kwargs):
flann = pyflann.FLANN()
#num_data = len(data)
flann_atkwargs = dict(algorithm='autotuned',
target_precision=.01,
build_weight=0.01,
memory_weight=0.0,
sample_fraction=0.001)
flann_atkwargs.update(kwargs)
suffix = repr(flann_atkwargs)
badchar_list = ',{}\': '
for badchar in badchar_list:
suffix = suffix.replace(badchar, '')
print(flann_atkwargs)
tuned_params = flann.build_index(data, **flann_atkwargs)
helpers.myprint(tuned_params)
out_file = 'flann_tuned' + suffix
helpers.write_to(out_file, repr(tuned_params))
flann.delete_index()
return tuned_params
def tune_flann(data, **kwargs):
flann = pyflann.FLANN()
#num_data = len(data)
flann_atkwargs = dict(algorithm='autotuned',
target_precision=.01,
build_weight=0.01,
memory_weight=0.0,
sample_fraction=0.001)
flann_atkwargs.update(kwargs)
suffix = repr(flann_atkwargs)
badchar_list = ',{}\': '
for badchar in badchar_list:
suffix = suffix.replace(badchar, '')
print(flann_atkwargs)
tuned_params = flann.build_index(data, **flann_atkwargs)
helpers.myprint(tuned_params)
out_file = 'flann_tuned' + suffix
helpers.write_to(out_file, repr(tuned_params))
flann.delete_index()
return tuned_params
def write_csv_tables(hs):
'Saves the tables to disk'
print('[ld2] Writing csv tables')
internal_dir = hs.dirs.internal_dir
CREATE_BACKUP = True # TODO: Should be a preference
if CREATE_BACKUP:
backup_csv_tables(hs, force_backup=True)
# csv strings
chip_table = make_chip_csv(hs)
image_table = make_image_csv(hs)
name_table = make_name_csv(hs)
# csv filenames
chip_table_fpath = join(internal_dir, CHIP_TABLE_FNAME)
name_table_fpath = join(internal_dir, NAME_TABLE_FNAME)
image_table_fpath = join(internal_dir, IMAGE_TABLE_FNAME)
# write csv files
helpers.write_to(chip_table_fpath, chip_table)
helpers.write_to(name_table_fpath, name_table)
helpers.write_to(image_table_fpath, image_table)
def write_csv_tables(hs):
'Saves the tables to disk'
print('[ld2] Writing csv tables')
internal_dir = hs.dirs.internal_dir
CREATE_BACKUP = True # TODO: Should be a preference
if CREATE_BACKUP:
backup_csv_tables(hs, force_backup=True)
# csv strings
chip_table = make_chip_csv(hs)
image_table = make_image_csv(hs)
name_table = make_name_csv(hs)
# csv filenames
chip_table_fpath = join(internal_dir, CHIP_TABLE_FNAME)
name_table_fpath = join(internal_dir, NAME_TABLE_FNAME)
image_table_fpath = join(internal_dir, IMAGE_TABLE_FNAME)
# write csv files
helpers.write_to(chip_table_fpath, chip_table)
helpers.write_to(name_table_fpath, name_table)
helpers.write_to(image_table_fpath, image_table)
def export_subdatabase(hs, gx_list, new_dbdir):
# New database dirs
new_imgdir = join(new_dbdir, ld2.RDIR_IMG)
new_internal = join(new_dbdir, ld2.RDIR_INTERNAL)
print('[scripts] Exporting into %r' % new_dbdir)
# Ensure new database
helpers.ensuredir(new_dbdir)
helpers.ensuredir(new_imgdir)
helpers.ensuredir(new_internal)
gname_list = hs.gx2_gname(gx_list)
src_gname_list = hs.gx2_gname(gx_list, full=True)
dst_gname_list = map(lambda gname: join(new_imgdir, gname), gname_list)
copy_list = [(src, dst) for (src, dst) in zip(src_gname_list, dst_gname_list)]
mark_progress, end_prog = helpers.progress_func(len(copy_list), lbl='Copy Images')
for count, (src, dst) in enumerate(copy_list):
shutil.copy(src, dst)
mark_progress(count)
end_prog()
cx_list = [cx for cxs in hs.gx2_cxs(gx_list) for cx in cxs.tolist()]
nx_list = np.unique(hs.tables.cx2_nx[cx_list])
image_table = ld2.make_image_csv2(hs, gx_list)
chip_table = ld2.make_chip_csv2(hs, cx_list)
name_table = ld2.make_name_csv2(hs, nx_list)
# csv filenames
chip_table_fpath = join(new_internal, ld2.CHIP_TABLE_FNAME)
name_table_fpath = join(new_internal, ld2.NAME_TABLE_FNAME)
image_table_fpath = join(new_internal, ld2.IMAGE_TABLE_FNAME)
# write csv files
helpers.write_to(chip_table_fpath, chip_table)
helpers.write_to(name_table_fpath, name_table)
helpers.write_to(image_table_fpath, image_table)
return locals()
