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"""
Enhanced Metro Synthetic Data Generator
Generates realistic metro train scheduling data with time-based constraints
"""
import sys
import os
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
import random
import uuid
from datetime import datetime, timedelta, time
from typing import List, Dict, Tuple
from DataService.metro_models import (
TrainHealthStatus, Station, Route, FitnessCertificates,
FitnessCertificate, CertificateStatus, JobCards, Branding
)
class MetroDataGenerator:
"""Generate synthetic data for metro train scheduling"""
STATIONS_ALUVA_PETTAH = [
"Aluva", "Pulinchodu", "Companypadi", "Ambattukavu", "Muttom",
"Kalamassery", "Cochin University", "Pathadipalam", "Edapally",
"Changampuzha Park", "Palarivattom", "J.L.N Stadium", "Kaloor",
"Town Hall", "M.G. Road", "Maharaja's College", "Ernakulam South",
"Kadavanthra", "Elamkulam", "Vyttila", "Thaikoodam", "Petta",
"Vadakkekotta", "SN Junction", "Pettah"
]
DEPOT_BAYS = [f"BAY-{str(i).zfill(2)}" for i in range(1, 16)]
IBL_BAYS = [f"IBL-{str(i).zfill(2)}" for i in range(1, 6)]
WASH_BAYS = [f"WASH-BAY-{str(i).zfill(2)}" for i in range(1, 4)]
ADVERTISERS = [
"COCACOLA-2024", "FLIPKART-FESTIVE", "AMAZON-PRIME",
"RELIANCE-JIO", "TATA-MOTORS", "SAMSUNG-GALAXY",
"NONE"
]
UNAVAILABLE_REASONS = [
"SCHEDULED_MAINTENANCE", "BRAKE_SYSTEM_REPAIR",
"HVAC_REPLACEMENT", "BOGIE_OVERHAUL", "ELECTRICAL_FAULT",
"ACCIDENT_DAMAGE", "PANTOGRAPH_REPAIR", "DOOR_SYSTEM_FAULT"
]
def __init__(self, num_trains: int = 25, num_stations: int = 25):
self.num_trains = num_trains
self.num_stations = min(num_stations, len(self.STATIONS_ALUVA_PETTAH))
self.trainset_ids = [f"TS-{str(i+1).zfill(3)}" for i in range(num_trains)]
def generate_route(self, route_name: str = "Aluva-Pettah Line") -> Route:
"""Generate metro route with stations"""
stations = []
total_distance = 25.612 # Actual KMRL distance
for i in range(self.num_stations):
distance = (total_distance / (self.num_stations - 1)) * i
station = Station(
station_id=f"STN-{str(i+1).zfill(3)}",
name=self.STATIONS_ALUVA_PETTAH[i],
sequence=i + 1,
distance_from_origin_km=round(distance, 2),
avg_dwell_time_seconds=random.randint(20, 45)
)
stations.append(station)
return Route(
route_id="KMRL-LINE-01",
name=route_name,
stations=stations,
total_distance_km=total_distance,
avg_speed_kmh=random.randint(32, 38), # Varies around 35 km/h average operating speed
turnaround_time_minutes=random.randint(8, 12)
)
def generate_train_health_statuses(self) -> List[TrainHealthStatus]:
"""Generate health status for all trains"""
statuses = []
for i, ts_id in enumerate(self.trainset_ids):
# Determine train health category
health_roll = random.random()
if health_roll < 0.65: # 65% fully healthy
is_healthy = True
available_hours = None
reason = None
elif health_roll < 0.85: # 20% partially healthy
is_healthy = False
# Random availability window
start_hour = random.randint(5, 12)
end_hour = random.randint(start_hour + 4, 23)
available_hours = [(time(start_hour, 0), time(end_hour, 0))]
reason = f"Limited availability: {random.choice(['Minor repairs', 'Partial maintenance', 'Certificate renewal pending'])}"
else: # 15% unavailable
is_healthy = False
available_hours = []
reason = random.choice(self.UNAVAILABLE_REASONS)
status = TrainHealthStatus(
trainset_id=ts_id,
is_fully_healthy=is_healthy,
available_hours=available_hours,
unavailable_reason=reason,
cumulative_mileage=random.randint(50000, 200000),
days_since_maintenance=random.randint(1, 45),
component_health={
"brakes": random.uniform(0.7, 1.0),
"hvac": random.uniform(0.65, 1.0),
"doors": random.uniform(0.7, 1.0),
"bogies": random.uniform(0.75, 1.0),
"pantograph": random.uniform(0.7, 1.0),
"battery": random.uniform(0.65, 1.0),
"motor": random.uniform(0.75, 1.0)
}
)
statuses.append(status)
return statuses
def generate_fitness_certificates(self, train_id: str) -> FitnessCertificates:
"""Generate fitness certificates for a train"""
now = datetime.now()
def random_cert_status() -> Tuple[str, CertificateStatus]:
roll = random.random()
if roll < 0.75: # 75% valid
days_valid = random.randint(10, 60)
return (now + timedelta(days=days_valid)).isoformat(), CertificateStatus.VALID
elif roll < 0.90: # 15% expiring soon
days_valid = random.randint(1, 9)
return (now + timedelta(days=days_valid)).isoformat(), CertificateStatus.EXPIRING_SOON
else: # 10% expired
days_expired = random.randint(1, 5)
return (now - timedelta(days=days_expired)).isoformat(), CertificateStatus.EXPIRED
rs_date, rs_status = random_cert_status()
sig_date, sig_status = random_cert_status()
tel_date, tel_status = random_cert_status()
return FitnessCertificates(
rolling_stock=FitnessCertificate(valid_until=rs_date, status=rs_status),
signalling=FitnessCertificate(valid_until=sig_date, status=sig_status),
telecom=FitnessCertificate(valid_until=tel_date, status=tel_status)
)
def generate_job_cards(self, train_id: str) -> JobCards:
"""Generate job cards for a train"""
num_open = random.choices([0, 1, 2, 3, 4, 5], weights=[50, 25, 15, 7, 2, 1])[0]
blocking = []
if num_open > 0:
num_blocking = random.choices([0, 1, 2, 3], weights=[70, 20, 8, 2])[0]
if num_blocking > 0:
components = ["BRAKE", "HVAC", "DOOR", "BOGIE", "PANTOGRAPH", "ELECTRICAL"]
selected = random.sample(components, min(num_blocking, len(components)))
blocking = [f"JC-{random.randint(40000, 49999)}-{comp}" for comp in selected]
return JobCards(open=num_open, blocking=blocking)
def generate_branding(self) -> Branding:
"""Generate branding information"""
advertiser = random.choice(self.ADVERTISERS)
if advertiser == "NONE":
return Branding(
advertiser="NONE",
contract_hours_remaining=0,
exposure_priority="NONE"
)
return Branding(
advertiser=advertiser,
contract_hours_remaining=random.randint(50, 500),
exposure_priority=random.choice(["LOW", "MEDIUM", "HIGH", "CRITICAL"])
)
def calculate_readiness_score(
self,
fitness_certs: FitnessCertificates,
job_cards: JobCards,
component_health: Dict[str, float]
) -> float:
"""Calculate overall readiness score for a train"""
score = 1.0
# Certificate penalties
if fitness_certs.rolling_stock.status == CertificateStatus.EXPIRED:
score -= 0.4
elif fitness_certs.rolling_stock.status == CertificateStatus.EXPIRING_SOON:
score -= 0.1
if fitness_certs.signalling.status == CertificateStatus.EXPIRED:
score -= 0.3
elif fitness_certs.signalling.status == CertificateStatus.EXPIRING_SOON:
score -= 0.05
if fitness_certs.telecom.status == CertificateStatus.EXPIRED:
score -= 0.2
elif fitness_certs.telecom.status == CertificateStatus.EXPIRING_SOON:
score -= 0.05
# Job card penalties
if job_cards.open > 0:
score -= min(0.15, job_cards.open * 0.03)
if len(job_cards.blocking) > 0:
score -= min(0.25, len(job_cards.blocking) * 0.1)
# Component health impact
avg_health = sum(component_health.values()) / len(component_health)
health_factor = (avg_health - 0.5) * 0.2 # -0.1 to +0.1
score += health_factor
return max(0.0, min(1.0, score))
def generate_depot_layout(self) -> Dict[str, List[str]]:
"""Generate depot bay layout"""
return {
"stabling_bays": self.DEPOT_BAYS.copy(),
"ibl_bays": self.IBL_BAYS.copy(),
"wash_bays": self.WASH_BAYS.copy()
}
def get_realistic_mileage_distribution(self, num_trains: int) -> List[int]:
"""Generate realistic cumulative mileage distribution"""
# Create a distribution with some variance
base_mileage = 120000
mileages = []
for i in range(num_trains):
# Add variance based on age and usage patterns
variance = random.randint(-40000, 50000)
mileage = base_mileage + variance
mileages.append(max(50000, min(200000, mileage)))
return mileages
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