source: trunk/anuga_validation/automated_validation_tests/patong_beach_validation/run_model.py @ 7877

"""Run a tsunami inundation scenario for Busselton, WA, Australia.

The scenario is defined by a triangular mesh created from project.polygon, the
elevation data is compiled into a pts file through build_elevation.py and a
simulated tsunami is generated through an sts file from build_boundary.py.

Input: sts file (build_boundary.py for respective event)
       pts file (build_elevation.py)
       information from project file
Outputs: sww file stored in project.output_run_time_dir 
The export_results_all.py and get_timeseries.py is reliant
on the outputs of this script

Ole Nielsen and Duncan Gray, GA - 2005, Jane Sexton, Nick Bartzis, GA - 2006
Ole Nielsen, Jane Sexton and Kristy Van Putten - 2008
"""

#------------------------------------------------------------------------------
# Import necessary modules
#------------------------------------------------------------------------------

# Standard modules
import os
import os.path
import time
from time import localtime, strftime, gmtime

# Related major packages
from Scientific.IO.NetCDF import NetCDFFile

import anuga


import project
import anuga.utilities.log as log

#-------------------------------------------------------------------------------
# Copy scripts to time stamped output directory and capture screen
# output to file. Copy script must be before screen_catcher
#-------------------------------------------------------------------------------

# Make output dir and set log filename before anything is logged
os.mkdir(project.output_run)
# Tell log module to store log file in output dir
log.log_filename = os.path.join(project.output_run, 'anuga.log')
log.critical('Log filename: %s' % log.log_filename)


output_dirname = os.path.dirname(project.__file__)
copy_code_files(project.output_run,
                [__file__, 
                 os.path.join(output_dirname, project.__name__+'.py'),
                 os.path.join(output_dirname, 'setup_model.py')],
                verbose=True
                )

# Application specific imports
from setup_model import project
import build_urs_boundary as bub


#-------------------------------------------------------------------------------
# Create the computational domain based on overall clipping polygon with
# a tagged boundary and interior regions defined in project.py along with
# resolutions (maximal area of per triangle) for each polygon
#-------------------------------------------------------------------------------

log.critical('Create computational domain')

# Create the STS file
# FIXME (Ole): This is deadly dangerous if buildcode changes (as was the case 24th March 2009)
# We need to use caching instead!

log.critical( 'project.mux_data_folder=%s' % project.mux_data_folder)
if not os.path.exists(project.event_sts + '.sts'):
    bub.build_urs_boundary(project.mux_input_filename, project.event_sts)

# Read in boundary from ordered sts file
event_sts = create_sts_boundary(project.event_sts)

# Reading the landward defined points, this incorporates the original clipping
# polygon minus the 100m contour
landward_boundary = read_polygon(project.landward_boundary)

# Combine sts polyline with landward points
bounding_polygon_sts = event_sts + landward_boundary

# Number of boundary segments
num_ocean_segments = len(event_sts) - 1
# Number of landward_boundary points
num_land_points = file_length(project.landward_boundary)

# Boundary tags refer to project.landward_boundary
# 4 points equals 5 segments start at N
boundary_tags={'back': range(num_ocean_segments+1,
                             num_ocean_segments+num_land_points),
               'side': [num_ocean_segments,
                        num_ocean_segments+num_land_points],
               'ocean': range(num_ocean_segments)}

# Build mesh and domain
domain = create_domain_from_regions(bounding_polygon_sts,
                                    boundary_tags=boundary_tags,
                                    maximum_triangle_area=project.bounding_maxarea,
                                    interior_regions=project.interior_regions,
                                    mesh_filename=project.meshes,
                                    use_cache=True,
                                    verbose=True)
log.critical(domain.statistics())

# FIXME(Ole): How can we make this more automatic?
domain.geo_reference.zone = project.zone


domain.set_name(project.scenario_name)
domain.set_datadir(project.output_run) 
domain.set_minimum_storable_height(0.01)    # Don't store depth less than 1cm

#-------------------------------------------------------------------------------
# Setup initial conditions
#-------------------------------------------------------------------------------

log.critical('Setup initial conditions')

# Set the initial stage in the offcoast region only
if project.land_initial_conditions:
    IC = Polygon_function(project.land_initial_conditions,
                          default=project.tide,
                          geo_reference=domain.geo_reference)
else:
    IC = 0
domain.set_quantity('stage', IC, use_cache=True, verbose=True)
domain.set_quantity('friction', project.friction) 
domain.set_quantity('elevation', 
                    filename=project.combined_elevation+'.pts',
                    use_cache=True,
                    verbose=True,
                    alpha=project.alpha)

if project.use_buildings:
    # Add buildings from file
    log.critical('Reading building polygons')
    building_polygons, building_heights = csv2building_polygons(project.building_polygon)
    #clipping_polygons=project.building_area_polygons)

    log.critical('Creating %d building polygons' % len(building_polygons))
    def create_polygon_function(building_polygons, geo_reference=None):
        L = []
        for i, key in enumerate(building_polygons):
            if i%100==0: log.critical(i)
            poly = building_polygons[key]
            elev = building_heights[key]
            L.append((poly, elev))
            
            buildings = Polygon_function(L, default=0.0,
                                         geo_reference=geo_reference)
        return buildings

    log.critical('Creating %d building polygons' % len(building_polygons))
    buildings = cache(create_polygon_function,
                      building_polygons,
                      {'geo_reference': domain.geo_reference},
                      verbose=True)

    log.critical('Adding buildings')
    domain.add_quantity('elevation',
                        buildings,
                        use_cache=True,
                        verbose=True)


#-------------------------------------------------------------------------------
# Setup boundary conditions 
#-------------------------------------------------------------------------------

log.critical('Set boundary - available tags:' % domain.get_boundary_tags())

Br = Reflective_boundary(domain)
Bs = Transmissive_stage_zero_momentum_boundary(domain)
Bf = Field_boundary(project.event_sts+'.sts',
                    domain,
                    mean_stage=project.tide,
                    time_thinning=1,
                    default_boundary=Dirichlet_boundary([0, 0, 0]),
                    boundary_polygon=bounding_polygon_sts,                    
                    use_cache=True,
                    verbose=True)

domain.set_boundary({'back': Br,
                     'side': Bs,
                     'ocean': Bf}) 

#-------------------------------------------------------------------------------
# Evolve system through time
#-------------------------------------------------------------------------------

t0 = time.time()

# Skip over the first 6000 seconds
for t in domain.evolve(yieldstep=2000,
                       finaltime=6000):
    log.critical(domain.timestepping_statistics())
    log.critical(domain.boundary_statistics(tags='ocean'))

# Start detailed model
for t in domain.evolve(yieldstep=project.yieldstep,
                       finaltime=project.finaltime,
                       skip_initial_step=True):
    log.critical(domain.timestepping_statistics())
    log.critical(domain.boundary_statistics(tags='ocean'))
    
log.critical('Simulation took %.2f seconds' %(time.time()-t0))