Fix race condition on shared temp file in batch_predict()

.github/workflows/main.yml

@@ -1,31 +1,12 @@
-# This is a basic workflow to help you get started with Actions
-
 name: CI
 
-# Controls when the action will run.
 on:
-  # Triggers the workflow on push or pull request events but only for the main branch
-  push:
-    branches: [main]
   pull_request:
     branches: [main]
-
-  # Allows you to run this workflow manually from the Actions tab
   workflow_dispatch:
 
-# A workflow run is made up of one or more jobs that can run sequentially or in parallel
 jobs:
-  # This workflow contains a single job called "build"
   build:
-    # The type of runner that the job will run on
     runs-on: ubuntu-latest
-
-    # Steps represent a sequence of tasks that will be executed as part of the job
     steps:
-      # Checks-out your repository under $GITHUB_WORKSPACE, so your job can access it
       - uses: actions/checkout@v2
-      - uses: akhileshns/[email protected] # This is the action
-        with:
-          heroku_api_key: ${{secrets.HEROKU_API_KEY}} # Located in GitHub secrets
-          heroku_app_name: "web-eye-tracker-1204" # Must be unique in Heroku
-          heroku_email: "[email protected]"

app/routes/session.py

@@ -6,7 +6,7 @@
 import csv
 import math
 import numpy as np
-
+import uuid
 from pathlib import Path
 import os
 import pandas as pd
@@ -24,6 +24,7 @@
 
 
 # Constants
+
 ALLOWED_EXTENSIONS = {"txt", "webm"}
 COLLECTION_NAME = "session"
 
@@ -162,7 +163,7 @@ 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().hex}.csv"
 
         # CSV temporário
         with open(predict_csv_path, "w", newline="") as csvfile:
@@ -187,7 +188,8 @@ def batch_predict():
             screen_width=screen_width,
             screen_height=screen_height,
         )
-
+        os.remove(predict_csv_path)
+
         return jsonify(convert_nan_to_none(result))
 
     except Exception as e: