def process_calc(bAuthenticate):
# connect to MongoDB
client = MongoClient()
db = client[database]
# DB authentication if required
if bAuthenticate:
bLoggedIn = db.authenticate(username, password, source=source_database)
else:
bLoggedIn = True
if bLoggedIn:
logger.info("Authenticated")
pd = db.Project.find_one({"project_code":"MFW001_0-010 Metro Paris-Ligne 15_T2A"})
if pd:
logger.info("Project %s found", pd["project_name"])
p = Project(db, pd)
p.load()
found_domains = Domain.find(db, {"project_id": p._id})
for dom in found_domains:
d = Domain(db, dom)
d.load()
asets = db.AlignmentSet.find({"domain_id": d._id})
for aset in asets:
a_set = AlignmentSet(db, aset)
a_set.load()
#sCode = a_set.item["code"]
als = Alignment.find(db, {"alignment_set_id":a_set._id}).sort("PK", 1)
cnt = 0.
cnt_tot = als.count()
for al in als:
a = Alignment(db, al)
a.setProject(p.item)
a.load()
cnt+=1.
sys.stdout.write("\r{:5s} pk= {:.0f} progress= {:.0%}".format(a_set.item["code"], a.item["PK"], cnt/cnt_tot ))
sys.stdout.flush()
a.perform_calc(str(datetime.now()))
else:
logger.error("Authentication failed")
def plot_data(bAuthenticate, sPath):
# connect to MongoDB
client = MongoClient()
db = client[database]
# DB authentication if required
if bAuthenticate:
bLoggedIn = db.authenticate(username,password,source=source_database)
else:
bLoggedIn = True
# cambio font size
mpl.rcParams.update({'font.size': 6})
if bLoggedIn:
logger.info("Logged in")
pd = db.Project.find_one({"project_code":"MFW001_0-010 Metro Paris-Ligne 15_T2A"})
if pd:
logger.info("Project %s found" % pd["project_name"])
p = Project(db, pd)
p.load()
found_domains = Domain.find(db, {"project_id": p._id})
for dom in found_domains:
dm = Domain(db,dom)
dm.load()
# Example of query
asets = db.AlignmentSet.find({"domain_id": dm._id})
for aset in asets:
a_set = AlignmentSet(db,aset)
a_set.load()
sCode = a_set.item["code"]
als = db.Alignment.find({"alignment_set_id":a_set._id},{"PK":True,"P_TAMEZ":True,"COB":True,"P_EPB":True,"P_WT":True,"BLOWUP":True, "PH":True, "DEM":True,"SETTLEMENT_MAX":True, \
"TILT_MAX":True, "EPS_H_MAX":True, "VOLUME_LOSS":True, "K_PECK":True, "REFERENCE_STRATA":True, "SETTLEMENTS":True, "SENSIBILITY":True, "DAMAGE_CLASS":True, "VULNERABILITY":True, \
"CONSOLIDATION_VALUE":True, "gamma_face":True, "gamma_tun":True, "sensibility_vbr_pk":True, "vibration_speed_mm_s_pk":True, "damage_class_vbr_pk":True, "vulnerability_vbr_pk":True}).sort("PK", 1)
a_list = list(als)
pks = []
pklabel = []
pkxticks = []
for d in a_list:
pk_value = round(d['PK']/10., 0) *10.
pks.append(pk_value)
hundreds = int(pk_value-int(pk_value/1000.)*1000)
if hundreds%100 == 0:
pkxticks.append(pk_value)
pklabel.append("%d+%03d" % (int(pk_value/1000.),hundreds ))
if sCode=='smi':
d_press = 0.5 # bar tra calotta e asse
d_press_wt = 0.35
else:
d_press = 0.7 # bar tra calotta e asse
d_press_wt = 0.5
# scalo di fattore 100
# p_wts =[d['P_WT']/100 - d_press_wt for d in a_list]
p_wts = [(max(0., d['P_WT']/100. - d_press_wt)) for d in a_list]
# scalo di fattore 100
p_epms =[max(0., d['P_EPB']/100. - d_press) for d in a_list]
# scalo di fattore 100
p_tamezs=[max(0., d['P_TAMEZ']/100. - d_press) for d in a_list]
cobs =[max(0., d['COB']/100. - d_press) for d in a_list]
# scalo di fattore 100
blowups =[max(0., d['BLOWUP']/100. - d_press) for d in a_list]
# amplifico di fattore 100
volume_losss =[d['VOLUME_LOSS']*100. for d in a_list]
k_pecks =[d['K_PECK'] for d in a_list]
# amplifico di fattore 1000
max_settlements =[d['SETTLEMENT_MAX']*1000. for d in a_list]
tilts =[d['TILT_MAX']*1000. for d in a_list]
epshs =[d['EPS_H_MAX']*1000. for d in a_list]
consolidations =[d['CONSOLIDATION_VALUE'] for d in a_list]
sensibilities =[d['SENSIBILITY'] for d in a_list]
damages =[d['DAMAGE_CLASS'] for d in a_list]
vulnerabilities =[d['VULNERABILITY'] for d in a_list]
young_tuns =[d['gamma_tun'] for d in a_list]
young_faces =[d['gamma_face'] for d in a_list]
sensibility_vbr_pks =[d['sensibility_vbr_pk'] for d in a_list]
vibration_speed_mm_s_pks =[d['vibration_speed_mm_s_pk'] for d in a_list]
damage_class_vbr_pks =[d['damage_class_vbr_pk'] for d in a_list]
vulnerability_vbr_pks =[d['vulnerability_vbr_pk'] for d in a_list]
# "sensibility_vbr_pk":True, "vibration_speed_mm_s_pk":True, "damage_class_vbr_pk":True, "vulnerability_vbr_pk":True
# # plot
# fig = plt.figure()
# fig.set_size_inches(12, 3.54)
# plt.plot(pks,young_tuns, label='E_TUN - GPa')
# plt.plot(pks,young_faces, label='E_FACE - GPa')
# y_min = math.floor(min(min(young_tuns),min(young_faces))/1.)*1.
# y_max = math.ceil(max(max(young_tuns),max(young_faces))/1.)*1.
# my_aspect = 50./(abs(y_max-y_min)/9.) # 50 m di profilo sono 1 cm in tavola, in altezza ho 9 cm a disposizione
# plt.axis([max(pks),min(pks),y_min,y_max])
# plt.xticks(pkxticks, pklabel, rotation='vertical')
# ax = plt.gca()
# ax.set_aspect(my_aspect)
# start, stop = ax.get_ylim()
# ticks = np.arange(start, stop + 1., 1.)
# ax.set_yticks(ticks)
# #ax.grid(True)
# plt.legend()
# #fig.set_dpi(1600)
# outputFigure(sPath, ("profilo_young_%s.svg" % sCode))
# logger.info("profilo_young.svg plotted in %s" % sPath)
# plt.show()
fig = plt.figure()
fig.set_size_inches(12, 3.54)
#plt.plot(pks,cobs, label='COB - bar')
plt.plot(pks,p_epms, label='P_EPB - bar')
plt.plot(pks,blowups, label='BLOWUP - bar')
plt.plot(pks,p_wts, label='P_WT - bar')
plt.plot(pks,p_tamezs, label='P_TAMEZ - bar')
y_min = math.floor(min(min(p_wts),min(cobs), min(p_epms), min(blowups))/.5)*.5-.5
y_max = math.ceil(max(max(p_wts),max(cobs), max(p_epms), max(blowups))/.5)*.5+.5
my_aspect = 50./(abs(y_max-y_min)/9.) # 50 m di profilo sono 1 cm in tavola, in altezza ho 9 cm a disposizione
plt.axis([max(pks),min(pks),y_min,y_max])
plt.xticks(pkxticks, pklabel, rotation='vertical')
ax = plt.gca()
ax.set_aspect(my_aspect)
start, stop = ax.get_ylim()
ticks = np.arange(start, stop + .5, .5)
ax.set_yticks(ticks)
#ax.grid(True)
plt.legend()
#fig.set_dpi(1600)
outputFigure(sPath, ("profilo_pressioni_%s.svg" % sCode))
logger.info("profilo_pressioni.svg plotted in %s" % sPath)
plt.show()
# """
plt.plot(pks,volume_losss, label='VL percent')
plt.plot(pks,k_pecks, label='k peck')
y_min = math.floor(min(min(volume_losss), min(k_pecks))/.05)*.05-.05
y_max = math.ceil(max(max(volume_losss), max(k_pecks))/.05)*.05+.05
plt.axis([max(pks),min(pks),y_min,y_max])
plt.xticks(pkxticks, pklabel, rotation='vertical')
ax = plt.gca()
my_aspect = 50./(abs(y_max-y_min)/9.0) # 50 m di profilo sono 1 cm in tavola, in altezza ho 9 cm a disposizione
ax.set_aspect(my_aspect)
start, stop = ax.get_ylim()
ticks = np.arange(start, stop + .05, .05)
ax.set_yticks(ticks)
#ax.grid(True)
#plt.legend()
#fig.set_dpi(1600)
outputFigure(sPath, ("profilo_peck_%s.svg" % sCode))
logger.info("profilo_peck.svg plotted in %s" % sPath)
plt.show()
plt.plot(pks,max_settlements, label='SETTLEMENT_MAX (mm)')
y_min = 0. # math.floor(min(max_settlements))-1.
y_max = 30. # math.ceil(max(max_settlements))+1.
plt.axis([max(pks),min(pks),y_min,y_max])
plt.xticks(pkxticks, pklabel, rotation='vertical')
ax = plt.gca()
my_aspect = 50./(abs(y_max-y_min)/4.5) # 50 m di profilo sono 1 cm in tavola, in altezza ho 9 cm a disposizione
ax.set_aspect(my_aspect)
start, stop = ax.get_ylim()
ticks = np.arange(start, stop + 5., 5.)
ax.set_yticks(ticks)
#ax.grid(True)
#plt.legend()
#fig.set_dpi(1600)
outputFigure(sPath, ("profilo_cedimenti_%s.svg" % sCode))
logger.info("profilo_cedimenti.svg plotted in %s" % sPath)
plt.show()
plt.plot(pks,tilts, label='BETA (0/00)')
plt.plot(pks,epshs, label='EPS_H (0/00)')
y_min = 0. # math.floor(min(max_settlements))-1.
y_max = 3.5 # math.ceil(max(max_settlements))+1.
plt.axis([max(pks),min(pks),y_min,y_max])
plt.xticks(pkxticks, pklabel, rotation='vertical')
ax = plt.gca()
my_aspect = 50./(abs(y_max-y_min)/4.5) # 50 m di profilo sono 1 cm in tavola, in altezza ho 9 cm a disposizione
ax.set_aspect(my_aspect)
start, stop = ax.get_ylim()
ticks = np.arange(start, stop + .5, .5)
ax.set_yticks(ticks)
#ax.grid(True)
#plt.legend()
#fig.set_dpi(1600)
outputFigure(sPath, ("profilo_distorsioni_%s.svg" % sCode))
logger.info("profilo_distorsioni.svg plotted in %s" % sPath)
plt.show()
plt.plot(pks,sensibilities, label='SENSIBILITY (1-3)')
y_min = -0.5
y_max = 3.5
plt.axis([max(pks),min(pks),y_min,y_max])
plt.xticks(pkxticks, pklabel, rotation='vertical')
ax = plt.gca()
my_aspect = 50./(abs(y_max-y_min)/3.) # 50 m di profilo sono 1 cm in tavola, in altezza ho 9 cm a disposizione
ax.set_aspect(my_aspect)
#start, stop = ax.get_ylim()
#ticks = np.arange(start, stop + 1., 1.)
ticks =[0., 1., 2., 3.]
ax.set_yticks(ticks)
#ax.grid(True)
#plt.legend()
#fig.set_dpi(1600)
outputFigure(sPath, ("profilo_sensibilita_%s.svg" % sCode))
logger.info("profilo_sensibilita.svg plotted in %s" % sPath)
plt.show()
plt.plot(pks,damages, label='DAMAGE CLASS (1-3)')
y_min = -0.5
y_max = 3.5
plt.axis([max(pks),min(pks),y_min,y_max])
plt.xticks(pkxticks, pklabel, rotation='vertical')
ax = plt.gca()
my_aspect = 50./(abs(y_max-y_min)/3.) # 50 m di profilo sono 1 cm in tavola, in altezza ho 9 cm a disposizione
ax.set_aspect(my_aspect)
#start, stop = ax.get_ylim()
#ticks = np.arange(start, stop + 1., 1.)
ticks =[0., 1., 2., 3.]
ax.set_yticks(ticks)
#ax.grid(True)
#plt.legend()
#fig.set_dpi(1600)
outputFigure(sPath, ("profilo_danni_%s.svg" % sCode))
logger.info("profilo_danni.svg plotted in %s" % sPath)
plt.show()
plt.plot(pks,vulnerabilities, label='VULNERABILITY (1-3)')
y_min = -0.5
y_max = 3.5
plt.axis([max(pks),min(pks),y_min,y_max])
plt.xticks(pkxticks, pklabel, rotation='vertical')
ax = plt.gca()
my_aspect = 50./(abs(y_max-y_min)/3.) # 50 m di profilo sono 1 cm in tavola, in altezza ho 9 cm a disposizione
ax.set_aspect(my_aspect)
#start, stop = ax.get_ylim()
#ticks = np.arange(start, stop + 1., 1.)
ticks =[0., 1., 2., 3.]
ax.set_yticks(ticks)
#ax.grid(True)
#plt.legend()
#fig.set_dpi(1600)
outputFigure(sPath, ("profilo_vulnerabilita_%s.svg" % sCode))
logger.info("profilo_vulnerabilita.svg plotted in %s" % sPath)
plt.show()
plt.plot(pks,consolidations, label='CONSOLIDATION (0-1)')
y_min = -0.3
y_max = 1.3
plt.axis([max(pks),min(pks),y_min,y_max])
plt.xticks(pkxticks, pklabel, rotation='vertical')
ax = plt.gca()
my_aspect = 50./(abs(y_max-y_min)/1.) # 50 m di profilo sono 1 cm in tavola, in altezza ho 9 cm a disposizione
ax.set_aspect(my_aspect)
#start, stop = ax.get_ylim()
#ticks = np.arange(start, stop + 1., 1.)
ticks =[0., 1.]
ax.set_yticks(ticks)
#ax.grid(True)
#plt.legend()
#fig.set_dpi(1600)
outputFigure(sPath, ("profilo_consolidamenti_%s.svg" % sCode))
logger.info("profilo_consolidamenti.svg plotted in %s" % sPath)
plt.show()
plt.plot(pks,sensibility_vbr_pks, label='SENSIBILITY VBR (1-3)')
y_min = -0.5
y_max = 3.5
plt.axis([max(pks),min(pks),y_min,y_max])
plt.xticks(pkxticks, pklabel, rotation='vertical')
ax = plt.gca()
my_aspect = 50./(abs(y_max-y_min)/3.) # 50 m di profilo sono 1 cm in tavola, in altezza ho 9 cm a disposizione
ax.set_aspect(my_aspect)
ticks =[0., 1., 2., 3.]
ax.set_yticks(ticks)
outputFigure(sPath, ("profilo_sensibilita_vbr_%s.svg" % sCode))
logger.info("profilo_sensibilita_vbr.svg plotted in %s" % sPath)
plt.show()
plt.plot(pks,damage_class_vbr_pks, label='DAMAGE CLASS (1-3)')
y_min = -0.5
y_max = 3.5
plt.axis([max(pks),min(pks),y_min,y_max])
plt.xticks(pkxticks, pklabel, rotation='vertical')
ax = plt.gca()
my_aspect = 50./(abs(y_max-y_min)/3.) # 50 m di profilo sono 1 cm in tavola, in altezza ho 9 cm a disposizione
ax.set_aspect(my_aspect)
ticks =[0., 1., 2., 3.]
ax.set_yticks(ticks)
outputFigure(sPath, ("profilo_danno_vbr_%s.svg" % sCode))
logger.info("profilo_danno_vbr.svg plotted in %s" % sPath)
plt.show()
plt.plot(pks,vulnerability_vbr_pks, label='VULNERABILITY (1-3)')
y_min = -0.5
y_max = 3.5
plt.axis([max(pks),min(pks),y_min,y_max])
plt.xticks(pkxticks, pklabel, rotation='vertical')
ax = plt.gca()
my_aspect = 50./(abs(y_max-y_min)/3.) # 50 m di profilo sono 1 cm in tavola, in altezza ho 9 cm a disposizione
ax.set_aspect(my_aspect)
ticks =[0., 1., 2., 3.]
ax.set_yticks(ticks)
outputFigure(sPath, ("profilo_vulnerabilita_vbr_%s.svg" % sCode))
logger.info("profilo_vulnerabilita_vbr.svg plotted in %s" % sPath)
plt.show()
plt.plot(pks,vibration_speed_mm_s_pks, label='VIBRATION SPEED (mm/s)')
y_min = -0.5
y_max = 12.5
plt.axis([max(pks),min(pks),y_min,y_max])
plt.xticks(pkxticks, pklabel, rotation='vertical')
ax = plt.gca()
my_aspect = 50./(abs(y_max-y_min)/3.) # 50 m di profilo sono 1 cm in tavola, in altezza ho 9 cm a disposizione
ax.set_aspect(my_aspect)
ticks =[0., 2., 3., 5., 6., 9., 12.]
ax.set_yticks(ticks)
outputFigure(sPath, ("profilo_velocita_vbr_%s.svg" % sCode))
logger.info("profilo_velocita_vbr.svg plotted in %s" % sPath)
plt.show()
"""
sensibility_vbr_pks =[d['sensibility_vbr_pk'] for d in a_list]
vibration_speed_mm_s_pks =[d['vibration_speed_mm_s_pk'] for d in a_list]
damage_class_vbr_pks =[d['damage_class_vbr_pk'] for d in a_list]
vulnerability_vbr_pks =[d['vulnerability_vbr_pk'] for d in a_list]
"""
# """
logger.info("plot_data terminated!")
else:
logger.error("Authentication failed")
def plot_data(bAuthenticate, sPath):
# connect to MongoDB
client = MongoClient()
db = client[database]
##################################################### GIS SETUP
driver = ogr.GetDriverByName("ESRI Shapefile")
# create the spatial reference, EPSG3949 RGF93 / CC49 - http://spatialreference.org/ref/epsg/3949/
# xMin,yMin 1653513.80,8175914.21 : xMax,yMax 1659996.62,8177877.58
srs = osr.SpatialReference()
srs.ImportFromEPSG(3949)
# DB authentication if required
if bAuthenticate:
bLoggedIn = db.authenticate(username,password,source=source_database)
else:
bLoggedIn = True
if bLoggedIn:
logger.info("Logged in")
pd = db.Project.find_one({"project_code":"MFW001_0-010 Metro Paris-Ligne 15_T2A"})
if pd:
logger.info("Project %s found" % pd["project_name"])
p = Project(db, pd)
p.load()
found_domains = Domain.find(db, {"project_id": p._id})
for dom in found_domains:
d = Domain(db,dom)
d.load()
# Example of query
# asets = db.AlignmentSet.find({"$and":[{"domain_id": d._id},{"code": "main_01"}]})
asets = db.AlignmentSet.find({"$and":[{"domain_id": d._id}]})
for aset in asets:
a_set = AlignmentSet(db,aset)
a_set.load()
sCode = a_set.item["code"]
# GIS create the data source
shpfname=os.path.join(sPath,"gis","smt_%s.shp" % sCode)
if os.path.exists(shpfname):
os.remove(shpfname)
data_source = driver.CreateDataSource(shpfname)
layer = data_source.CreateLayer("subsidence", srs, ogr.wkbPoint)
# Add the GIS fields we're interested in
field_name = ogr.FieldDefn("Name", ogr.OFTString)
field_name.SetWidth(24)
layer.CreateField(field_name)
field_type = ogr.FieldDefn("Type", ogr.OFTString)
field_type.SetWidth(24)
layer.CreateField(field_type)
field_align = ogr.FieldDefn("Alignment", ogr.OFTString)
field_align.SetWidth(24)
layer.CreateField(field_align)
layer.CreateField(ogr.FieldDefn("PK", ogr.OFTInteger))
layer.CreateField(ogr.FieldDefn("Distance", ogr.OFTInteger))
layer.CreateField(ogr.FieldDefn("Latitude", ogr.OFTReal))
layer.CreateField(ogr.FieldDefn("Longitude", ogr.OFTReal))
layer.CreateField(ogr.FieldDefn("Elevation", ogr.OFTInteger))
layer.CreateField(ogr.FieldDefn("COB", ogr.OFTReal))
layer.CreateField(ogr.FieldDefn("BLOWUP", ogr.OFTReal))
layer.CreateField(ogr.FieldDefn("SETTLEMENT", ogr.OFTReal))
# layer.CreateField(ogr.FieldDefn("DATETIME", ogr.OFTDateTime))
# GIS end
#als = db.Alignment.find({"$and":[{"alignment_set_id":a_set._id},{"PK":{"$gt":2128568}},{"PK":{"$lt":2129768}}]},{"PK":True,"COB":True,"BLOWUP":True, "PH":True, "DEM":True,"SETTLEMENT_MAX":True, "VOLUME_LOSS":True, "REFERENCE_STRATA":True, "SETTLEMENTS":True}).sort("PK", 1)
als = db.Alignment.find({"alignment_set_id":a_set._id},{"PK":True,"COB":True,"BLOWUP":True, "PH":True, "DEM":True,"SETTLEMENT_MAX":True, "VOLUME_LOSS":True, "REFERENCE_STRATA":True, "SETTLEMENTS":True}).sort("PK", 1)
a_list = list(als)
pks =[d['PK'] for d in a_list]
# scalo di fattore 100
cobs =[d['COB']/100 for d in a_list]
# scalo di fattore 100
blowups =[d['BLOWUP']/100 for d in a_list]
# amplifico di fattore 100
max_settlements =[d['SETTLEMENT_MAX']*100 for d in a_list]
phs =[d['PH']['coordinates'][2] for d in a_list]
dems =[d['DEM']['coordinates'][2] for d in a_list]
pkys =[d['PH']['coordinates'][1] for d in a_list]
pkxs =[d['PH']['coordinates'][0] for d in a_list]
# punti medi
pmidx = []
pmidy = []
# punti a distanza 20 e 40
keys, dictValues = processSettlements(a_list)
pkxs_d_1 = defaultdict(list)
pkys_d_1 = defaultdict(list)
pkzs_d_1 = defaultdict(list)
pkxs_d_2 = defaultdict(list)
pkys_d_2 = defaultdict(list)
pkzs_d_2 = defaultdict(list)
mypoints = np.zeros((0,2))
myvalues = np.zeros(0,'f')
pcalc_x = []
pcalc_y = []
pcalc_z = []
for i,x in enumerate(pkxs):
if i==0:
pass
else:
p1 = (pkxs[i-1],pkys[i-1])
p2 = (pkxs[i],pkys[i])
pm = mid_point(p1,p2)
pmidx.append(pm[0])
pmidy.append(pm[1])
for key in keys:
val = dictValues[key][i-1]
if key == 0.0:
# pass
mypoints = np.append(mypoints,[[pkxs[i-1],pkys[i-1]]],axis=0)
myvalues = np.append(myvalues,[val],axis=0)
pcalc_x.append(pkxs[i-1])
pcalc_y.append(pkys[i-1])
pcalc_z.append(val)
# GIS 1.1
feature = ogr.Feature(layer.GetLayerDefn())
feature.SetField("Name", "PK %f %d" % (pks[i-1],0))
feature.SetField("Type", "Central")
feature.SetField("Alignment", str(sCode))
feature.SetField("Distance",0)
feature.SetField("PK", int(pks[i-1]))
feature.SetField("Latitude", pkys[i-1])
feature.SetField("Longitude", pkxs[i-1])
feature.SetField("Elevation", phs[i-1])
feature.SetField("COB", cobs[i-1])
feature.SetField("SETTLEMENT", val)
feature.SetField("BLOWUP", blowups[i-1])
# feature.SetField("DATETIME", str(datetime.utcnow().strftime('%Y-%m-%d %H:%M:%S.%f')[:-3]))
wkt = "POINT(%f %f)" % (float(pkxs[i-1]) , float(pkys[i-1]))
# Create the point from the Well Known Txt
point = ogr.CreateGeometryFromWkt(wkt)
# Set the feature geometry using the point
feature.SetGeometry(point)
# Create the feature in the layer (shapefile)
layer.CreateFeature(feature)
# Destroy the feature to free resources
feature.Destroy()
# GIS 1.1 end
else:
ret_d = pfromdistance_p1(p1,p2,key)
x1 = ret_d[0][0]
x2 = ret_d[1][0]
y1 = ret_d[0][1]
y2 = ret_d[1][1]
pkxs_d_1[key].append(x1)
pkxs_d_2[key].append(x2)
pkys_d_1[key].append(y1)
pkys_d_2[key].append(y2)
mypoints = np.append(mypoints,[[x1,y1]],axis=0)
pcalc_x.append(x1)
pcalc_y.append(y1)
pcalc_z.append(val)
myvalues = np.append(myvalues,[val],axis=0)
mypoints = np.append(mypoints,[[x2,y2]],axis=0)
pcalc_x.append(x2)
pcalc_y.append(y2)
pcalc_z.append(val)
myvalues = np.append(myvalues,[val],axis=0)
# GIS 1.1
feature = ogr.Feature(layer.GetLayerDefn())
feature.SetField("Name", "PK %f +%d" % (pks[i-1],int(key)))
feature.SetField("Type", "Distance")
feature.SetField("Alignment", str(sCode))
feature.SetField("Distance",int(key))
feature.SetField("PK", int(pks[i-1]))
feature.SetField("Latitude", y1)
feature.SetField("Longitude", x1)
feature.SetField("Elevation", phs[i])
feature.SetField("COB", cobs[i])
feature.SetField("SETTLEMENT", val)
feature.SetField("BLOWUP", blowups[i])
#feature.SetField("DATETIME", str(datetime.utcnow().strftime('%Y-%m-%d %H:%M:%S.%f')[:-3]))
wkt = "POINT(%f %f)" % (float(x1) , float(y1))
# Create the point from the Well Known Txt
point = ogr.CreateGeometryFromWkt(wkt)
# Set the feature geometry using the point
feature.SetGeometry(point)
# Create the feature in the layer (shapefile)
layer.CreateFeature(feature)
# Destroy the feature to free resources
feature.Destroy()
feature = ogr.Feature(layer.GetLayerDefn())
feature.SetField("Name", "PK %f -%d" % (pks[i],int(key)))
feature.SetField("Type", "Distance")
feature.SetField("Alignment", str(sCode))
feature.SetField("Distance",int(key))
feature.SetField("PK", int(pks[i]))
feature.SetField("Latitude", y2)
feature.SetField("Longitude", x2)
feature.SetField("Elevation", dems[i])
feature.SetField("COB", cobs[i])
feature.SetField("SETTLEMENT", val)
feature.SetField("BLOWUP", blowups[i])
#feature.SetField("DATETIME", str(datetime.utcnow().strftime('%Y-%m-%d %H:%M:%S.%f')[:-3]))
wkt = "POINT(%f %f)" % (float(x2) , float(y2))
# Create the point from the Well Known Txt
point = ogr.CreateGeometryFromWkt(wkt)
# Set the feature geometry using the point
feature.SetGeometry(point)
# Create the feature in the layer (shapefile)
layer.CreateFeature(feature)
# Destroy the feature to free resources
feature.Destroy()
# GIS 1.1 end
x_min, x_max, y_min, y_max = layer.GetExtent()
data_source.Destroy()
############### END GIS
min_x = min(pcalc_x)
min_y = min(pcalc_y)
max_x = max(pcalc_x)
max_y = max(pcalc_y)
# Interpolazione ...forse non è la cosa giusta da fare
logger.info("x range %d" % (max_x - min_x) )
logger.info("y range %d" % (max_y - min_y) )
gx, gy = np.mgrid[min_x:max_x,min_y:max_y]
m_interp_cubic = griddata(mypoints, myvalues, (gx, gy),method='nearest')
# plot
fig = plt.figure()
plt.title("Profilo %s" % sCode)
### visualizza gli strati di riferimento
# fillBetweenStrata(a_list)
################################################
plt.plot(pks,phs, linewidth=2,label='Tracciato')
plt.plot(pks,dems, linewidth=2,label='DEM' )
plt.plot(pks,cobs, label='COB / 100')
plt.plot(pks,blowups, label='BLOWUP / 100')
plt.plot(pks,max_settlements, label='SETTLEMENT_MAX * 100')
plt.axis([min(pks),max(pks),min(phs)-10,max(dems)+10])
plt.legend()
outputFigure(sPath, "profilo_%s.svg" % a_set.item["code"])
logger.info("profilo_%s.png plotted in %s" % (a_set.item["code"], sPath))
plt.close(fig)
fig = plt.figure()
# stampa planimetria
plt.title("Planimetria")
# filtro a zero tutto qeullo che sta sotto
# m_interp_cubic[ m_interp_cubic < 0.0] = 0.0
clevels = np.arange(0., 0.04, 0.001)
cmap = LinearSegmentedColormap.from_list(name="Custom CMap", colors =["white", "blue", "red"], N=11)
contours = plt.contourf(gx, gy, m_interp_cubic,cmap = cm.jet, extend='both', levels=clevels)
cp = plt.contour(gx, gy, m_interp_cubic,linewidths=0.5,colors='k',levels=clevels)
# GIS create the data source
attr_name = "SETTLEMENT"
shpfname=os.path.join(sPath,"gis","contour_%s.shp" % sCode)
if os.path.exists(shpfname):
os.remove(shpfname)
dst_ds = driver.CreateDataSource(shpfname)
dst_layer = dst_ds.CreateLayer("contour_subsidence", srs, ogr.wkbPolygon)
# Add the GIS fields we're interested in
dst_layer.CreateField(ogr.FieldDefn(attr_name, ogr.OFTReal))
field_align = ogr.FieldDefn("Alignment", ogr.OFTString)
field_align.SetWidth(24)
dst_layer.CreateField(field_align)
field_level = ogr.FieldDefn("LevelID", ogr.OFTString)
field_level.SetWidth(24)
dst_layer.CreateField(field_level)
# dst_layer.CreateField(ogr.FieldDefn("DATETIME", ogr.OFTDateTime))
# GIS end
for level in range(len(contours.collections)):
paths = contours.collections[level].get_paths()
for path in paths:
feat_out = ogr.Feature( dst_layer.GetLayerDefn())
feat_out.SetField( attr_name, contours.levels[level] )
feat_out.SetField("Alignment", str(sCode))
feat_out.SetField("LevelID", str(level))
#feat_out.SetField("DATETIME", str(datetime.utcnow().strftime('%Y-%m-%d %H:%M:%S.%f')[:-3]))
pol = ogr.Geometry(ogr.wkbPolygon)
ring = None
for i in range(len(path.vertices)):
point = path.vertices[i]
if path.codes[i] == 1:
if ring != None:
pol.AddGeometry(ring)
ring = ogr.Geometry(ogr.wkbLinearRing)
ring.AddPoint_2D(point[0], point[1])
pol.AddGeometry(ring)
feat_out.SetGeometry(pol)
if dst_layer.CreateFeature(feat_out) != 0:
print "Failed to create feature in shapefile.\n"
exit( 1 )
feat_out.Destroy()
"""
# Create the destination tiff data source
raster_fn=os.path.join(sPath,"smt_%s.tif" % sCode)
if os.path.exists(raster_fn):
os.remove(raster_fn)
# Define pixel_size and NoData value of new raster
pixel_size = 1
NoData_value = -9999
x_res = int((max_x - min_x) / pixel_size)
y_res = int((max_y - min_y) / pixel_size)
target_ds = gdal.GetDriverByName('GTiff').Create(raster_fn, x_res, y_res, 1, gdal.GDT_Float32)
target_ds.SetGeoTransform((x_min, pixel_size, 0, y_max, 0, -pixel_size))
band = target_ds.GetRasterBand(1)
band.WriteArray(m_interp_cubic)
outRasterSRS = osr.SpatialReference()
outRasterSRS.ImportFromEPSG(3949)
outRaster.SetProjection(outRasterSRS.ExportToWkt())
outband.FlushCache()
"""
plt.colorbar()
plt.plot(pkxs,pkys, "g-",label='Tracciato %s' % a_set.item["code"])
plt.plot(pkxs,pkys, "g.")
# Punti medi
plt.plot(pmidx,pmidy, "gx")
for key in keys:
pkzs_d_1[key] = dictValues[key]
pkzs_d_2[key] = dictValues[key]
plt.plot(pkxs_d_1[key],pkys_d_1[key], "w.", ms=1)
plt.plot(pkxs_d_2[key],pkys_d_2[key], "w.", ms=1)
array_x = np.asarray(pcalc_x)
array_y = np.asarray(pcalc_y)
array_z = np.asarray(pcalc_z)
plt.axis("equal")
outputFigure(sPath, "tracciato_%s.svg" % a_set.item["code"], format="svg")
logger.info("tracciato_%s.png plotted in %s" % (a_set.item["code"], sPath))
#plt.show()
plt.close(fig)
logger.info("plot_data terminated!")
else:
logger.error("Authentication failed")
formatter = logging.Formatter('%(asctime)s %(name)-12s %(levelname)-8s %(message)s')
fh.setFormatter(formatter)
logger.addHandler(fh)
# reading config file
sCFGName = 'smt.cfg'
smtConfig = ConfigParser.RawConfigParser()
smtConfig.read(sCFGName)
# setup DB parameter
host = smtConfig.get('MONGODB','host')
database = smtConfig.get('MONGODB','database')
source_database = smtConfig.get('MONGODB','source_database')
username = smtConfig.get('MONGODB','username')
password = smtConfig.get('MONGODB','password')
# connect to MongoDB
client = MongoClient()
db = client[database]
# DB authentication
db.authenticate(username,password,source=source_database)
# Search for project_code = "MFW001_0-010 Metro Paris-Ligne 15_T2A"
pd = db.Project.find_one({"project_code":"MFW001_0-010 Metro Paris-Ligne 15_T2A"})
p = Project(db, pd)
p.load()
found_domains = Domain.find(db, {"project_id": p._id})
for dom in found_domains:
d = Domain(db,dom)
d.load()
# Example of aggregation
aggrList = Alignment.aggregate_by_strata(db, d._id)
for ii in aggrList:
print ii
