tsunami / src /tsuwave /database /models.py
Gitdeeper4's picture
رفع جميع ملفات TSU-WAVE مع YAML
12834b7
"""SQLAlchemy models for TSU-WAVE"""
from sqlalchemy import (
Column, String, Float, Boolean, DateTime,
Integer, JSON, ForeignKey, Index, text
)
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import relationship
from datetime import datetime
Base = declarative_base()
class Event(Base):
"""Tsunami event model"""
__tablename__ = 'events'
id = Column(String, primary_key=True)
name = Column(String, nullable=False)
source_location = Column(String)
magnitude = Column(Float)
depth = Column(Float) # source depth [m]
time = Column(DateTime, nullable=False)
created_at = Column(DateTime, default=datetime.utcnow)
updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
active = Column(Boolean, default=True)
metadata = Column(JSON, default={})
# Relationships
parameters = relationship("Parameter", back_populates="event")
alerts = relationship("Alert", back_populates="event")
# Indexes
__table_args__ = (
Index('idx_events_time', time.desc()),
Index('idx_events_active', active),
)
class Parameter(Base):
"""Seven parameters time series"""
__tablename__ = 'parameters'
id = Column(Integer, primary_key=True, autoincrement=True)
time = Column(DateTime, nullable=False, default=datetime.utcnow)
event_id = Column(String, ForeignKey('events.id'))
zone = Column(String, nullable=False)
# Seven parameters
wcc = Column(Float) # Wave Front Celerity Coefficient
kpr = Column(Float) # Kinetic/Potential Ratio
hfsi = Column(Float) # Hydrodynamic Front Stability Index
becf = Column(Float) # Bathymetric Energy Concentration Factor
sdb = Column(Float) # Spectral Dispersion Bandwidth
sbsp = Column(Float) # Shoreline Boundary Stress Parameter
smvi = Column(Float) # Sub-Surface Micro-Vorticity Index
chi = Column(Float) # Coastal Hazard Index
# Relationships
event = relationship("Event", back_populates="parameters")
# Indexes
__table_args__ = (
Index('idx_parameters_time', time.desc()),
Index('idx_parameters_zone_time', zone, time.desc()),
Index('idx_parameters_event', event_id),
)
class Alert(Base):
"""Alert model"""
__tablename__ = 'alerts'
id = Column(String, primary_key=True)
event_id = Column(String, ForeignKey('events.id'))
zone = Column(String, nullable=False)
level = Column(String, nullable=False) # LOW, MODERATE, HIGH, SEVERE, CATASTROPHIC
chi = Column(Float)
message = Column(String)
issued_at = Column(DateTime, default=datetime.utcnow)
expires_at = Column(DateTime)
acknowledged = Column(Boolean, default=False)
acknowledged_by = Column(String)
acknowledged_at = Column(DateTime)
metadata = Column(JSON, default={})
# Relationships
event = relationship("Event", back_populates="alerts")
# Indexes
__table_args__ = (
Index('idx_alerts_issued', issued_at.desc()),
Index('idx_alerts_active', zone, level,
postgresql_where=text("acknowledged = FALSE")),
)
class Zone(Base):
"""Coastal zone model with pre-computed BECF"""
__tablename__ = 'zones'
id = Column(String, primary_key=True) # zone identifier
name = Column(String, nullable=False)
region = Column(String) # pacific, indian, atlantic
becf = Column(Float) # pre-computed BECF value
latitude = Column(Float)
longitude = Column(Float)
population = Column(Integer)
priority = Column(String) # low, medium, high, critical
metadata = Column(JSON, default={})
# Indexes
__table_args__ = (
Index('idx_zones_region', region),
Index('idx_zones_becf', becf.desc()),
)
class DARTStation(Base):
"""DART buoy station model"""
__tablename__ = 'dart_stations'
id = Column(String, primary_key=True) # station ID
name = Column(String)
latitude = Column(Float, nullable=False)
longitude = Column(Float, nullable=False)
depth = Column(Float) # water depth at station [m]
active = Column(Boolean, default=True)
last_seen = Column(DateTime)
metadata = Column(JSON, default={})
# Indexes
__table_args__ = (
Index('idx_dart_location', latitude, longitude),
)
class ValidationEvent(Base):
"""Historical validation events"""
__tablename__ = 'validation_events'
id = Column(String, primary_key=True)
name = Column(String, nullable=False)
year = Column(Integer)
magnitude = Column(Float)
max_runup = Column(Float) # maximum observed run-up [m]
mean_lead_time = Column(Integer) # mean lead time [minutes]
data_quality = Column(String) # high, medium, low
metadata = Column(JSON, default={})
# Indexes
__table_args__ = (
Index('idx_validation_year', year.desc()),
)
class User(Base):
"""User model for authentication"""
__tablename__ = 'users'
id = Column(Integer, primary_key=True, autoincrement=True)
username = Column(String, unique=True, nullable=False)
email = Column(String, unique=True, nullable=False)
hashed_password = Column(String, nullable=False)
full_name = Column(String)
organization = Column(String)
role = Column(String, default='viewer') # viewer, operator, admin
created_at = Column(DateTime, default=datetime.utcnow)
last_login = Column(DateTime)
active = Column(Boolean, default=True)
metadata = Column(JSON, default={})
# Indexes
__table_args__ = (
Index('idx_users_username', username),
Index('idx_users_email', email),
)
class ApiKey(Base):
"""API key model"""
__tablename__ = 'api_keys'
id = Column(Integer, primary_key=True, autoincrement=True)
key = Column(String, unique=True, nullable=False)
user_id = Column(Integer, ForeignKey('users.id'))
name = Column(String)
created_at = Column(DateTime, default=datetime.utcnow)
expires_at = Column(DateTime)
last_used = Column(DateTime)
rate_limit = Column(Integer, default=100) # requests per minute
active = Column(Boolean, default=True)
# Indexes
__table_args__ = (
Index('idx_api_keys_key', key),
)
# Create tables function
def create_tables(engine):
"""Create all tables"""
Base.metadata.create_all(engine)
# Drop tables function
def drop_tables(engine):
"""Drop all tables"""
Base.metadata.drop_all(engine)