def encode_report(rpt, rpt_path):
rpt_dict = {}
#write parcel json files
parcels = spatial.read_shapefile(sg.config.parcels_shapefile)
parcels = parcels[['PARCELID', 'coords']] #omit 'ADDRESS', 'OWNER1'
flooded = rpt.alt_report.parcel_flooding #proposed flooding condition
flooded = pd.merge(flooded, parcels, right_on='PARCELID', left_index=True)
rpt_dict['parcels'] = spatial.write_geojson(flooded, geomtype='polygon')
#non null delta category parcels
delta_parcels = rpt.flood_comparison.loc[pd.notnull(
rpt.flood_comparison.Category)]
delta_parcels = pd.merge(delta_parcels,
parcels,
right_on='PARCELID',
left_index=True)
rpt_dict['delta_parcels'] = spatial.write_geojson(delta_parcels,
geomtype='polygon')
#encode conduit and nodes data into geojson
# rpt_dict['conduits'] = spatial.write_geojson(rpt.alt_report.model.conduits())
rpt_dict['new_conduits'] = spatial.write_geojson(rpt.newconduits)
# rpt_dict['nodes'] = spatial.write_geojson(rpt.model.nodes(), geomtype='point')
#write summary stats
rpt_dict.update(rpt.summary_dict)
with open(rpt_path, 'w') as f:
f.write(json.dumps(rpt_dict))
def batch_reports(project_dir,
results_file,
additional_costs=None,
join_data=None):
#combine the segments and options (combinations) into one iterable
SEGMENTS_DIR = os.path.join(project_dir, 'Segments')
COMBOS_DIR = os.path.join(project_dir, 'Combinations')
COMMON_DATA_DIR = os.path.join(project_dir, 'CommonData')
ADMIN_DIR = os.path.join(project_dir, 'ProjectAdmin')
BASELINE_DIR = os.path.join(project_dir, 'Baseline')
#instantiate the true baseline flood report
baseline_model = Model(BASELINE_DIR)
pn_join_csv = os.path.join(COMMON_DATA_DIR,
r'sphila_sheds_parcels_join.csv')
parcel_node_join_df = pd.read_csv(pn_join_csv)
parcel_shp_df = spatial.read_shapefile(sg.config.parcels_shapefile)
baserpt = reporting.FloodReport(baseline_model, parcel_node_join_df)
base_flood_vol = baserpt.flood_vol_mg
paths = (SEGMENTS_DIR, COMBOS_DIR)
#result file header
# cols = 'MODEL,COST,FLOOD_VOL_MG,PARCEL_FLOOD_HRS,FLOOD_VOL_REDUCED_MG,PARCEL_FLOOD_HRS_REDUCED,PARCEL_HRS_REDUCED_DELTA_THRESH'
# with open(results_file, 'a') as f:
# f.write(cols + '\n')
for path, dirs, files in chain.from_iterable(
os.walk(path) for path in paths):
for f in files:
if '.inp' in f:
inp_path = os.path.join(path, f)
alt = Model(inp_path)
print 'reporting on {}'.format(alt.name)
#generate the reports
frpt = reporting.FloodReport(alt, parcel_node_join_df)
impact_rpt = reporting.ComparisonReport(
baserpt, frpt, additional_costs, join_data)
# #write to the log
# model_id = os.path.splitext(f)[0]
# with open(results_file, 'a') as f:
#
# stats = (model_id, impact_rpt.cost_estimate,
# frpt.flood_vol_mg, frpt.parcel_hrs_flooded,
# baserpt.flood_vol_mg - frpt.flood_vol_mg,
# baserpt.parcel_hrs_flooded - frpt.parcel_hrs_flooded,
# impact_rpt.parcel_hours_reduced,
# )
# f.write('{},{},{},{},{},{},{}\n'.format(*stats))
report_dir = os.path.join(alt.inp.dir, 'Report_AllParcels')
if not os.path.exists(report_dir): os.mkdir(report_dir)
#write the report files
# impact_rpt.write(report_dir)
# impact_rpt.generate_figures(report_dir, parcel_shp_df)
serialize.encode_report(impact_rpt,
os.path.join(report_dir, 'rpt.json'))
def encode_report(rpt, rpt_path):
rpt_dict = {}
#write parcel json files
parcels = spatial.read_shapefile(sg.config.parcels_shapefile)
parcels = parcels[['PARCELID', 'coords']] #omit 'ADDRESS', 'OWNER1'
flooded = rpt.alt_report.parcel_flooding #proposed flooding condition
flooded = pd.merge(flooded, parcels, right_on='PARCELID', left_index=True)
rpt_dict['parcels'] = spatial.write_geojson(flooded, geomtype='polygon')
#non null delta category parcels
delta_parcels = rpt.flood_comparison.loc[pd.notnull(rpt.flood_comparison.Category)]
delta_parcels = pd.merge(delta_parcels, parcels, right_on='PARCELID', left_index=True)
rpt_dict['delta_parcels'] = spatial.write_geojson(delta_parcels, geomtype='polygon')
#encode conduit and nodes data into geojson
# rpt_dict['conduits'] = spatial.write_geojson(rpt.alt_report.model.conduits())
rpt_dict['new_conduits'] = spatial.write_geojson(rpt.newconduits)
# rpt_dict['nodes'] = spatial.write_geojson(rpt.model.nodes(), geomtype='point')
#write summary stats
rpt_dict.update(rpt.summary_dict)
with open(rpt_path, 'w') as f:
f.write(json.dumps(rpt_dict))
def batch_reports(project_dir, results_file,
additional_costs=None, join_data=None,
report_dirname='Report_AllParcels'):
#combine the segments and options (combinations) into one iterable
SEGMENTS_DIR = os.path.join(project_dir, 'Segments')
COMBOS_DIR = os.path.join(project_dir, 'Combinations')
COMMON_DATA_DIR = os.path.join(project_dir, 'CommonData')
ADMIN_DIR = os.path.join(project_dir, 'ProjectAdmin')
BASELINE_DIR = os.path.join(project_dir, 'Baseline')
#instantiate the true baseline flood report
baseline_model = Model(BASELINE_DIR)
pn_join_csv = os.path.join(COMMON_DATA_DIR,r'sphila_sheds_parcels_join.csv')
parcel_node_join_df = pd.read_csv(pn_join_csv)
parcel_shp_df = spatial.read_shapefile(sg.config.parcels_shapefile)
baserpt = reporting.FloodReport(baseline_model, parcel_node_join_df)
base_flood_vol = baserpt.flood_vol_mg
paths = (SEGMENTS_DIR,COMBOS_DIR)
#result file header
cols = 'MODEL,COST,FLOOD_VOL_MG,PARCEL_FLOOD_HRS,FLOOD_VOL_REDUCED_MG,PARCEL_FLOOD_HRS_REDUCED,PARCEL_HRS_REDUCED_DELTA_THRESH'
with open(results_file, 'a') as f:
f.write(cols + '\n')
for path, dirs, files in chain.from_iterable(os.walk(path) for path in paths):
for f in files:
if '.inp' in f:
inp_path = os.path.join(path,f)
alt = Model(inp_path)
print('reporting on {}'.format(alt.name))
#generate the reports
frpt = reporting.FloodReport(alt, parcel_node_join_df)
impact_rpt = reporting.ComparisonReport(baserpt, frpt,
additional_costs,
join_data)
#write to the log
model_id = os.path.splitext(f)[0]
with open(results_file, 'a') as f:
stats = (model_id, impact_rpt.cost_estimate,
frpt.flood_vol_mg, frpt.parcel_hrs_flooded,
baserpt.flood_vol_mg - frpt.flood_vol_mg,
baserpt.parcel_hrs_flooded - frpt.parcel_hrs_flooded,
impact_rpt.parcel_hours_reduced,
)
f.write('{},{},{},{},{},{},{}\n'.format(*stats))
report_dir = os.path.join(alt.inp.dir, report_dirname)
if not os.path.exists(report_dir):os.mkdir(report_dir)
#write the report files
impact_rpt.write(report_dir)
impact_rpt.generate_figures(report_dir, parcel_shp_df)
serialize.encode_report(impact_rpt, os.path.join(report_dir, 'rpt.json'))
def write(self, rpt_dir):
#write cost per sewer segment spreadsheet
self.newconduits.to_csv(os.path.join(rpt_dir,'cost_estimate.csv'))
self.flood_comparison.to_csv(os.path.join(rpt_dir,'parcel_flood_comparison.csv'))
#write parcel json files
parcels = spatial.read_shapefile(sg.config.parcels_shapefile)
parcels = parcels[['PARCELID', 'ADDRESS', 'OWNER1', 'coords']]
flooded = self.flood_comparison
flooded = flooded.loc[flooded.Category.notnull()] #parcels with significant flood delta
flooded = pd.merge(flooded, parcels, right_on='PARCELID', left_index=True)
colors = flooded.apply(lambda row:'#%02x%02x%02x' % drawing.parcel_draw_color(row, style='delta'), axis=1)
flooded = flooded.assign(fill=colors)
geoparcelpath = os.path.join(rpt_dir,'delta_parcels.json')
spatial.write_geojson(flooded, filename=geoparcelpath, geomtype='polygon')
#write new conduit json, shapefiles
shpdir = os.path.join(os.path.dirname(rpt_dir), 'shapefiles')
if not os.path.exists(shpdir):os.mkdir(shpdir)
geocondpath = os.path.join(rpt_dir,'new_conduits.json')
shpcondpath = os.path.join(shpdir, self.alt_report.model.inp.name + '_new_conduits.shp')
spatial.write_geojson(self.newconduits, filename=geocondpath)
spatial.write_shapefile(self.newconduits, filename=shpcondpath)
#write node and conduit report csvs
self.alt_report.model.nodes().to_csv(os.path.join(rpt_dir,'nodes.csv'))
self.alt_report.model.conduits().to_csv(os.path.join(rpt_dir,'conduits.csv'))
#write a html map
with open (geocondpath, 'r') as f:
geo_conduits = geojson.loads(f.read())
proposed_flooded = self.alt_report.parcel_flooding
proposed_flooded = pd.merge(proposed_flooded, parcels, right_on='PARCELID', left_index=True)
geo_parcels = spatial.write_geojson(proposed_flooded)
# with open (geoparcelpath, 'r') as f:
# geo_parcels = geojson.loads(f.read())
with open(BETTER_BASEMAP_PATH, 'r') as bm:
filename = os.path.join(os.path.dirname(geocondpath), self.alt_report.model.name + '.html')
with open(filename, 'wb') as newmap:
for line in bm:
if '//INSERT GEOJSON HERE ~~~~~' in line:
newmap.write('conduits = {};\n'.format(geojson.dumps(geo_conduits)))
newmap.write('nodes = {};\n'.format(0))
newmap.write('parcels = {};\n'.format(geojson.dumps(geo_parcels)))
else:
newmap.write(line)
def write(self, rpt_dir):
#write cost per sewer segment spreadsheet
self.newconduits.to_csv(os.path.join(rpt_dir,'cost_estimate.csv'))
self.flood_comparison.to_csv(os.path.join(rpt_dir,'parcel_flood_comparison.csv'))
#write parcel json files
parcels = spatial.read_shapefile(sg.config.parcels_shapefile)
parcels = parcels[['PARCELID', 'ADDRESS', 'OWNER1', 'coords']]
flooded = self.flood_comparison
flooded = flooded.loc[flooded.Category.notnull()] #parcels with significant flood delta
flooded = pd.merge(flooded, parcels, right_on='PARCELID', left_index=True)
colors = flooded.apply(lambda row:'#%02x%02x%02x' % drawing.parcel_draw_color(row, style='delta'), axis=1)
flooded = flooded.assign(fill=colors)
geoparcelpath = os.path.join(rpt_dir,'delta_parcels.json')
spatial.write_geojson(flooded, filename=geoparcelpath, geomtype='polygon')
#write new conduit json, shapefiles
shpdir = os.path.join(os.path.dirname(rpt_dir), 'shapefiles')
if not os.path.exists(shpdir):os.mkdir(shpdir)
geocondpath = os.path.join(rpt_dir,'new_conduits.json')
shpcondpath = os.path.join(shpdir, self.alt_report.model.inp.name + '_new_conduits.shp')
spatial.write_geojson(self.newconduits, filename=geocondpath)
spatial.write_shapefile(self.newconduits, filename=shpcondpath)
#write node and conduit report csvs
self.alt_report.model.nodes().to_csv(os.path.join(rpt_dir,'nodes.csv'))
self.alt_report.model.conduits().to_csv(os.path.join(rpt_dir,'conduits.csv'))
#write a html map
with open (geocondpath, 'r') as f:
geo_conduits = geojson.loads(f.read())
proposed_flooded = self.alt_report.parcel_flooding
proposed_flooded = pd.merge(proposed_flooded, parcels, right_on='PARCELID', left_index=True)
geo_parcels = spatial.write_geojson(proposed_flooded)
# with open (geoparcelpath, 'r') as f:
# geo_parcels = geojson.loads(f.read())
with open(BETTER_BASEMAP_PATH, 'r') as bm:
filename = os.path.join(os.path.dirname(geocondpath), self.alt_report.model.name + '.html')
with open(filename, 'wb') as newmap:
for line in bm:
if '//INSERT GEOJSON HERE ~~~~~' in line:
newmap.write('conduits = {};\n'.format(geojson.dumps(geo_conduits)))
newmap.write('nodes = {};\n'.format(0))
newmap.write('parcels = {};\n'.format(geojson.dumps(geo_parcels)))
else:
newmap.write(line)
def _draw_basemap(draw, img, bbox, px_width, shift_ratio):
"""
given the shapefiles in config.basemap_options, render each layer
on the model basemap.
"""
for f in config.basemap_options['features']:
shp_path = os.path.join(config.basemap_shapefile_dir, f['feature'])
df = spatial.read_shapefile(shp_path)[f['cols'] + ['coords']]
df = px_to_irl_coords(df, bbox=bbox, shift_ratio=shift_ratio,
px_width=px_width)[0]
if 'ST_NAME' in df.columns:
# this is a street, draw a polyline accordingly
df.apply(lambda r: draw.line(r.draw_coords, fill=f['fill']), axis=1)
annotate_streets(df, img, 'ST_NAME')
else:
df.apply(lambda r: draw.polygon(r.draw_coords,
fill=f['fill']), axis=1)
def _draw_basemap(draw, img, bbox, px_width, shift_ratio): """ given the shapefiles in options.basemap_options, render each layer on the model basemap. """ for f in options.basemap_options['features']: shp_path = os.path.join(config.basemap_shapefile_dir, f['feature']) df = spatial.read_shapefile(shp_path)[f['cols']+['coords']] df = px_to_irl_coords(df, bbox=bbox, shift_ratio=shift_ratio, px_width=px_width)[0] if 'ST_NAME' in df.columns: #this is a street, draw a polyline accordingly df.apply(lambda r: draw.line(r.draw_coords, fill=f['fill']), axis=1) annotate_streets(df, img, 'ST_NAME') else: df.apply(lambda r: draw.polygon(r.draw_coords, fill=f['fill']), axis=1)
