Add configuration and scripts for linting, testing, and dependency management

- Introduced .pre-commit-config.yaml for pre-commit hooks using uv-pre-commit.
- Created lint.sh script to run Ruff and Black for linting and formatting.
- Added test.sh script to execute tests with coverage reporting.
- Configured .uv file for uv settings including lockfile management and dependency resolution.
- Updated Makefile with targets for virtual environment setup, dependency installation, linting, testing, formatting, and database migrations.
- Established requirements.txt with main and development dependencies for the project.

dashboard_project/dashboard/management/commands/create_sample_data.py

@@ -18,7 +18,7 @@ User = get_user_model()
 class Command(BaseCommand):
     help = "Create sample data for testing"
 
-    def handle(self, *args, **kwargs):
+    def handle(self, **_options):
         self.stdout.write("Creating sample data...")
 
         # Create admin user if it doesn't exist
@@ -45,7 +45,7 @@ class Command(BaseCommand):
                 self.stdout.write(f"Company already exists: {company.name}")
 
         # Create users for each company
-        for i, company in enumerate(companies):
+        for _i, company in enumerate(companies):
             # Company admin
             username = f"admin_{company.name.lower().replace(' ', '_')}"
             if not User.objects.filter(username=username).exists():

dashboard_project/dashboard/utils.py

@@ -1,5 +1,7 @@
 # dashboard/utils.py
 
+import contextlib
+
 import numpy as np
 import pandas as pd
 from django.db import models
@@ -25,17 +27,13 @@ def process_csv_file(data_source):
             # Handle datetime fields
             start_time = None
             end_time = None
-
             if "start_time" in row and pd.notna(row["start_time"]):
-                try:
+                with contextlib.suppress(Exception):
                     start_time = make_aware(pd.to_datetime(row["start_time"]))
-                except Exception:
-                    pass
 
             if "end_time" in row and pd.notna(row["end_time"]):
-                try:
+                with contextlib.suppress(Exception):
                     end_time = make_aware(pd.to_datetime(row["end_time"]))
-                except Exception:
                     pass
 
             # Convert boolean fields