Fix: Optimizer using global JSON data paths instead of relative hardcoded strings

app/dashboard.py

@@ -97,7 +97,7 @@ df_results = load_results()
 def run_solver_subprocess(time_limit_sec, output_placeholder):
     """Spawns the optimization worker and streams logs to the UI."""
     process = subprocess.Popen(
-        ["uv", "run", "python", "-u", "solver_worker.py", str(time_limit_sec)],
+        ["uv", "run", "python", "-u", "src/fleet_assignment/optimizer.py", str(time_limit_sec)],
         stdout=subprocess.PIPE,
         stderr=subprocess.STDOUT,
         text=True,

src/fleet_assignment/optimizer.py

@@ -17,11 +17,10 @@ import sqlite3
 # Ensure src module is visible if run standalone
 sys.path.append(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))))
 
-from src.fleet_assignment.config import DB_PATH, RESULTS_FILE, COST_FILE
+from src.fleet_assignment.config import DB_PATH, RESULTS_FILE, COST_FILE, JSON_AEROPORTOS, JSON_EMISSORES
 
 def run_solver(time_limit_sec=300):
     print(f"--- Starting Global Solver Worker (Limit: {time_limit_sec}s) ---")
-    JSON_AEROPORTOS = "airports.json"
     
     conn = sqlite3.connect(DB_PATH)
     df_frota_db = pd.read_sql_query("SELECT * FROM frota", conn)
@@ -34,7 +33,7 @@ def run_solver(time_limit_sec=300):
     pax_demanda_completa = demands_db.groupby(['Data Apenas', 'Localidade Decolagem', 'Localidade Pouso'])['PAX'].sum().reset_index()
     demands = pax_demanda_completa[pax_demanda_completa['PAX'] > 0].copy()
 
-    with open('emissores.json', 'r') as f:
+    with open(JSON_EMISSORES, 'r') as f:
         emissores_data = json.load(f)[0]
     icaos_emissores = list(emissores_data.values())