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Fixed race condition in batch_predict() #88

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Fixed race condition in batch_predict() #88

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57 changes: 31 additions & 26 deletions app/routes/session.py
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Original file line number Diff line number Diff line change
Expand Up @@ -5,6 +5,7 @@
import json
import csv
import math
import uuid
import numpy as np

from pathlib import Path
Expand Down Expand Up @@ -162,33 +163,37 @@ def batch_predict():

base_path = Path().absolute() / "app/services/calib_validation/csv/data"
calib_csv_path = base_path / f"{calib_id}_fixed_train_data.csv"
predict_csv_path = base_path / "temp_batch_predict.csv"
predict_csv_path = base_path / f"temp_batch_predict_{uuid.uuid4()}.csv"

# CSV temporário
with open(predict_csv_path, "w", newline="") as csvfile:
writer = csv.DictWriter(csvfile, fieldnames=[
"left_iris_x", "left_iris_y", "right_iris_x", "right_iris_y"
])
writer.writeheader()
for item in iris_data:
writer.writerow({
"left_iris_x": item["left_iris_x"],
"left_iris_y": item["left_iris_y"],
"right_iris_x": item["right_iris_x"],
"right_iris_y": item["right_iris_y"],
})

result = gaze_tracker.predict_new_data_simple(
calib_csv_path=calib_csv_path,
predict_csv_path=predict_csv_path,
iris_data=iris_data,
# model_X="Random Forest Regressor",
# model_Y="Random Forest Regressor",
screen_width=screen_width,
screen_height=screen_height,
)

return jsonify(convert_nan_to_none(result))
try:
# CSV temporário
with open(predict_csv_path, "w", newline="") as csvfile:
writer = csv.DictWriter(csvfile, fieldnames=[
"left_iris_x", "left_iris_y", "right_iris_x", "right_iris_y"
])
writer.writeheader()
for item in iris_data:
writer.writerow({
"left_iris_x": item["left_iris_x"],
"left_iris_y": item["left_iris_y"],
"right_iris_x": item["right_iris_x"],
"right_iris_y": item["right_iris_y"],
})

result = gaze_tracker.predict_new_data_simple(
calib_csv_path=calib_csv_path,
predict_csv_path=predict_csv_path,
iris_data=iris_data,
# model_X="Random Forest Regressor",
# model_Y="Random Forest Regressor",
screen_width=screen_width,
screen_height=screen_height,
)

return jsonify(convert_nan_to_none(result))
finally:
if predict_csv_path.exists():
os.remove(predict_csv_path)

except Exception as e:
print("Erro batch_predict:", e)
Expand Down