def test_init_one_path_one_df():
path2 = Path("home") / "path" / "to" / "data2"
comparer = Comparer(dataset1=pd.DataFrame(), dataset2=path2)
assert not comparer.path1 # None
assert isinstance(comparer.path2, Path)
assert isinstance(comparer.df1, pd.DataFrame)
assert not comparer.df2 # None
def test_init_both_strings():
comparer = Comparer(
dataset1="this/is/a/path/string", dataset2="path/string/to/second/dataset"
)
assert isinstance(comparer.path1, str)
assert isinstance(comparer.path2, str)
assert not comparer.df1 # None
assert not comparer.df2 # None
def test_init_both_os_paths():
path1 = os.path.join("data1/path")
path2 = os.path.join("data2/path")
comparer = Comparer(dataset1=path1, dataset2=path2)
assert isinstance(comparer.path1, str)
assert isinstance(comparer.path2, str)
assert not comparer.df1 # None
assert not comparer.df2 # None
def test_init_both_paths():
path1 = Path("home") / "path" / "to" / "data1"
path2 = Path("home") / "path" / "to" / "data2"
comparer = Comparer(dataset1=path1, dataset2=path2)
assert isinstance(comparer.path1, Path)
assert isinstance(comparer.path2, Path)
assert not comparer.df1 # None
assert not comparer.df2 # None
def many_to_many_all_match_obj():
data_path = (Path(__file__).resolve().parent / "juxta" / "tests" / "data" /
"no-mismatches" / "many-to-many")
d1_path = data_path / "many_to_many-A1.csv"
d2_path = d1_path
comparer = Comparer(dataset1=d1_path, dataset2=d2_path)
comparer.set_dataframes(parse_dates=["intake_dt", "exit_dt"])
return comparer
def shuffled_one_to_one_unmatchable_obj():
data_path = (Path(__file__).resolve().parent / "juxta" / "tests" / "data" /
"unmatchable" / "one-to-one")
d1_path = data_path / "one_to_one-A1.csv"
d2_path = data_path / "one_to_one-A2-shuffled.csv"
comparer = Comparer(dataset1=d1_path, dataset2=d2_path)
comparer.set_dataframes(parse_dates=["intake_dt", "exit_dt"])
return comparer
def main():
parser = argparse.ArgumentParser(
description="Compare two datasets by passing paths to their CSV files")
parser.add_argument("path1",
type=lambda x: Path(x),
help="path/to/dataset1.csv file")
parser.add_argument("path2",
type=lambda x: Path(x),
help="path/to/dataset2.csv file")
parser.add_argument(
"--use-config",
action="store_true",
help=
"setting this flag will use the config file for setting the other optional args",
)
parser.add_argument(
"--save-as-excel",
action="store_true",
help=
"Set this to save result as excel. Otherwise, will save as CSV file.",
)
parser.add_argument("--ds1-keep-columns", nargs="+")
parser.add_argument("--ds2-keep-columns", nargs="+")
parser.add_argument("--mapper", nargs="+")
parser.add_argument("--group-on", nargs="+")
parser.add_argument("--compare-on", nargs="+")
args = parser.parse_args()
if args.use_config:
from juxta import config
print(" ---> filling out optional args with config file")
ds1_columns = config.DS1_KEEP_COLUMNS
ds2_columns = config.DS2_KEEP_COLUMNS
mapper = config.MAPPER
group_on = config.GROUP_ON
compare_on = config.COMPARE_ON
else:
ds1_columns = args.ds1_keep_columns
ds2_columns = args.ds2_keep_columns
mapper = args.mapper
group_on = args.group_on
compare_on = args.compare_on
if not ds1_columns: # if they are None
print(
"COULD NOT RUN: at least --ds1-keep-columns must be set if not using config file"
)
sys.exit()
if (not mapper) or (not group_on) or (not compare_on):
print(
"COULD NOT RUN: --mapper, --group-on, and --compare-on must all be set if not using config file"
)
sys.exit()
prepper = Prepper(dataset1=args.path1, dataset2=args.path2)
prepper.set_dataframes().keep_relevant_columns(
ds1_columns=ds1_columns,
ds2_columns=ds2_columns).map_to_ds1_column_names(mapper=mapper)
comparer = Comparer(dataset1=prepper.df1, dataset2=prepper.df2)
comparer.compare_dataframes(group_on=group_on, compare_on=compare_on)
if args.save_as_excel:
output_path = args.path1.parent / "results.xlsx"
comparer.results_to_excel(output_path)
sys.exit()
output_path = args.path1.parent / "result.csv"
comparer.results_to_csv(output_path)
def test_init_both_dfs():
comparer = Comparer(dataset1=pd.DataFrame(), dataset2=pd.DataFrame())
assert not comparer.path1 # None
assert not comparer.path2 # None
assert isinstance(comparer.df1, pd.DataFrame)
assert isinstance(comparer.df2, pd.DataFrame)
def test_init_one_string_one_df():
comparer = Comparer(dataset1="this/is/a/path/string", dataset2=pd.DataFrame())
assert isinstance(comparer.path1, str)
assert not comparer.path2 # None
assert not comparer.df1 # None
isinstance(comparer.df2, pd.DataFrame)