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BugFix: Hierarchical Fed Stats, prepare data: replace os.rename() function #2921

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merged 3 commits into from
Sep 6, 2024
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BugFix: Hierarchical Fed Stats, prepare data: replace os.rename() function #2921

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e3868ce
replace os.rename() to shutil.move() to avoid os.error when destinati…
chesterxgchen Sep 6, 2024
42e5fce
remove redundant move
chesterxgchen Sep 6, 2024
d150c1d
remove unused import
chesterxgchen Sep 6, 2024
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26 changes: 13 additions & 13 deletions examples/advanced/federated-statistics/hierarchical_stats/utils/prepare_data.py
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Original file line number Diff line number Diff line change
Expand Up @@ -31,17 +31,22 @@ def parse_args(prog_name: str):

def prepare_data():
# Set variables
NUM_UNIVERSITIES = 7
num_universities = 7

DATASET_PATH = "/tmp/nvflare/data/hierarchical_stats/"
if not os.path.exists(DATASET_PATH):
os.makedirs(DATASET_PATH)
dataset_path = "/tmp/nvflare/data/hierarchical_stats/"
if not os.path.exists(dataset_path):
os.makedirs(dataset_path)

print(f"Preparing data at data directory `{DATASET_PATH}`...\n")
print(f"Preparing data at data directory `{dataset_path}`...\n")

# Generate the entries for 7 different universities and copy it to each client data directory
for n in range(1, NUM_UNIVERSITIES + 1):
output_file = f"university-{n}.csv"
for n in range(1, num_universities + 1):
client_path = os.path.join(dataset_path, f"university-{n}")
if not os.path.exists(client_path):
os.makedirs(client_path)
file_name = f"university-{n}.csv"
output_file = os.path.join(client_path, file_name)

with open(output_file, "w", newline="") as csvfile:
csvwriter = csv.writer(csvfile)
# Create and write the header to the CSV file
Expand All @@ -57,13 +62,8 @@ def prepare_data():
fail = 1
percentage = round(random.uniform(20.00, 49.99), 2)
csvwriter.writerow([pass_, fail, percentage])

client_path = os.path.join(DATASET_PATH, f"university-{n}")
if not os.path.exists(client_path):
os.makedirs(client_path)
os.rename(output_file, os.path.join(client_path, output_file))
print(
f"CSV file `{output_file}` is generated with {num_entries} entries for client `university-{n}` at {client_path}."
f"CSV file `{file_name}` is generated with {num_entries} entries for client `university-{n}` at {client_path}."
)

print("\nDone preparing data.")
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