def _init_spatialite(self, instance_id, target):
# initialize the spatialite database file
if target is None:
dst_data_dir = os.path.join(instance_id, instance_id, "data")
else:
dst_data_dir = os.path.join(os.path.abspath(target),
instance_id, instance_id, "data")
os.chdir(dst_data_dir)
db_name = "config.sqlite"
print("Setting up initial database.")
try:
from pyspatialite import dbapi2 as db
conn = db.connect(db_name)
print("Using pyspatialite.")
except ImportError:
try:
from pysqlite2 import dbapi2 as db
print("Using pysqlite.")
except ImportError:
from sqlite3 import dbapi2 as db
print("Using sqlite3.")
conn = db.connect(db_name)
spatialite_lib = find_library('spatialite')
try:
conn.execute("SELECT load_extension(%s)", (spatialite_lib,))
except Exception, msg:
raise Exception(
'Unable to load the SpatiaLite library extension '
'"%s" because: %s' % (spatialite_lib, msg)
)
def setUp(self):
try:
os.remove(get_db_path())
except OSError:
pass
self.con1 = sqlite.connect(get_db_path(), timeout=0.1)
self.cur1 = self.con1.cursor()
self.con2 = sqlite.connect(get_db_path(), timeout=0.1)
self.cur2 = self.con2.cursor()
def importusers(self):
print "importuser"
delta_days = self.days
indb = db.connect(self.indb)
dbout = db.connect(self.outdb)
incur = indb.cursor()
ago = ""
if (delta_days == 0):
ago = datetime.today() - timedelta(delta_days)
else:
sql = '''CREATE VIEW users_lastdays as SELECT user,
MAX(timestamp) as tempo FROM osm_nodes GROUP BY user;'''
incur.execute(sql)
s = 0
for i in self.tables:
if (delta_days > 0):
sql = '''select distinct(user) from
users_lastdays where tempo > "%s"''' % str(ago)
else:
sql = "SELECT distinct(user) from osm_nodes";
rs = incur.execute(sql)
r = rs.fetchall()
if s == 0:
outcur = dbout.cursor()
for u in r:
user = u[0]
sql = "INSERT INTO users (user) VALUES (?)"
if user is not None:
outcur.execute(sql,[user])
s = s+1
outcur.close()
dbout.commit()
if (delta_days >0):
sql = "DROP VIEW users_lastdays;"
incur.execute(sql)
else:
outcur = dbout.cursor()
for u in r:
user = u[0]
sql = "Select user from users where user = ?" # user
rsu = list(outcur.execute(sql,user))
if len(rsu) == 0:
sql = "INSERT INTO users (user) VALUES (?)"
outcur.execute(sql,[user])
outcur.close()
dbout.commit()
incur.close()
indb.close()
dbout.close()
print "Users imported"
def importusers(self,dbname,delta_days=180):
indb = db.connect(dbname)
dbout = db.connect(self.outdb)
incur = indb.cursor()
sixmonthago = ""
if (delta_days == 0):
sixmonthago = datetime.today() - timedelta(delta_days)
else:
sql = "CREATE VIEW users_lastdays as SELECT user,MAX(timestamp) as tempo FROM osm_nodes GROUP BY user;"
incur.execute(sql)
s = 0
for i in self.tables:
if (delta_days > 0):
sql = 'select distinct(user) from users_lastdays where tempo > "%s"' % str(sixmonthago)
else:
sql = "SELECT distinct(user) from osm_nodes";
rs = incur.execute(sql)
r = rs.fetchall()
if s == 0:
outcur = dbout.cursor()
for u in r:
user = u[0]
sql = "INSERT INTO users (user) VALUES ('%s')" % (user)
outcur.execute(sql)
s = s+1
outcur.close()
dbout.commit()
if (delta_days >0):
sql = "DROP VIEW users_lastdays;"
incur.execute(sql)
else:
outcur = dbout.cursor()
for u in r:
user = u[0]
sql = "Select user from users where user = '******';" % user
rsu = list(outcur.execute(sql))
if len(rsu) == 0:
sql = "INSERT INTO users (user) VALUES ('%s')" % (user)
outcur.execute(sql)
outcur.close()
dbout.commit()
incur.close()
indb.close()
dbout.close()
print "Users imported"
def saveR(rectangles, A, cc, n):
zona = takeZona(n)
polis =[]
for r in rectangles:
polis.append(r[0])
union = affinity.rotate(cascaded_union(polis), -A, origin=cc)
dx = union.centroid.x-cc.x
dy = union.centroid.y-cc.y
print 'translate : ',dx, dy
data2save=()
for r in rectangles:
rotated=affinity.rotate(r[0], -A, origin=cc)
translated = affinity.translate(rotated, -dx, -dy)
#verificar si interseca
print zona.intersects(translated)
if zona.intersects(translated):
data = (n, A, r[1], r[2], "SRID=25831;"+str(translated))
data2save += (data,)
#print data
conn = db.connect(rootData)
c = conn.cursor()
c.executemany('''insert into elementsdiv ( name, ang, x, y, geometry ) values ( ?, ?, ?,?, GeomFromEWKT( ? ) )''', data2save )
conn.commit()
conn.close()
return
def spatialite_connect(*args, **kwargs):
"""returns a dbapi2.Connection to a spatialite db
either using pyspatialite if it is present
or using the "mod_spatialite" extension (python3)"""
try:
from pyspatialite import dbapi2
except ImportError:
import sqlite3
con = sqlite3.dbapi2.connect(*args, **kwargs)
con.enable_load_extension(True)
cur = con.cursor()
libs = [
# Spatialite >= 4.2 and Sqlite >= 3.7.17, should work on all platforms
("mod_spatialite", "sqlite3_modspatialite_init"),
# Spatialite >= 4.2 and Sqlite < 3.7.17 (Travis)
("mod_spatialite.so", "sqlite3_modspatialite_init"),
# Spatialite < 4.2 (linux)
("libspatialite.so", "sqlite3_extension_init")
]
found = False
for lib, entry_point in libs:
try:
cur.execute("select load_extension('{}', '{}')".format(lib, entry_point))
except sqlite3.OperationalError:
continue
else:
found = True
break
if not found:
raise RuntimeError("Cannot find any suitable spatialite module")
cur.close()
con.enable_load_extension(False)
return con
return dbapi2.connect(*args, **kwargs)
def CheckConnectionExecutemany(self):
con = sqlite.connect(":memory:")
con.execute("create table test(foo)")
con.executemany("insert into test(foo) values (?)", [(3,), (4,)])
result = con.execute("select foo from test order by foo").fetchall()
self.assertEqual(result[0][0], 3, "Basic test of Connection.executemany")
self.assertEqual(result[1][0], 4, "Basic test of Connection.executemany")
def __init__(self, dbpath):
self.dbpath = dbpath
# creating/connecting the test_db
self.conn = sqlite.connect(self.dbpath)
# creating a Cursor
self.cur = self.conn.cursor()
self.cur.execute("PRAGMA foreign_keys = ON") #Foreign key constraints are disabled by default (for backwards compatibility), so must be enabled separately for each database connection separately.
#add layer styles
self.add_layer_styles_2_db()
#load style from file and set it as value into the layer styles table
"""
self.style_from_file_into_db('obs_lines', 'obs_lines_tablayout.qml','obs_lines_tablayout.sld')
self.style_from_file_into_db('obs_p_w_strat', 'obs_p_w_strat.qml','obs_p_w_strat.sld')
self.style_from_file_into_db('obs_p_w_lvl', 'obs_p_w_lvl.qml','obs_p_w_lvl.sld')
#osv
"""
self.style_from_file_into_db('obs_points', 'obs_points_tablayout.qml','obs_points_tablayout.sld')
self.style_from_file_into_db('stratigraphy', 'stratigraphy_tablayout.qml','stratigraphy_tablayout.sld')
self.cur.execute("PRAGMA foreign_keys = OFF")
#FINISHED WORKING WITH THE DATABASE, CLOSE CONNECTIONS
self.rs.close()
self.conn.close()
def create(self, force = True):
if os.path.exists(self.file) and not force:
return
elif os.path.exists(self.file):
os.remove(self.file)
try:
connection = db.connect(self.file, check_same_thread = False)
cursor = connection.cursor()
cursor.execute('SELECT InitSpatialMetadata()')
cursor.execute(self.sql_point)
cursor.execute('''SELECT AddGeometryColumn('fs_point', 'geometry', %i, '%s', 2);''' % (int(self.srs), "POINT"))
cursor.execute(self.sql_line)
cursor.execute('''SELECT AddGeometryColumn('fs_line', 'geometry', %i, '%s', 2);''' % (int(self.srs), "LINESTRING"))
cursor.execute(self.sql_polygon)
cursor.execute('''SELECT AddGeometryColumn('fs_polygon', 'geometry', %i, '%s', 2);''' % (int(self.srs), "POLYGON"))
sql_clean = "CREATE TABLE fs_clean (id INTEGER PRIMARY KEY AUTOINCREMENT, clean_date TEXT);"
cursor.execute(sql_clean)
now = datetime.now().strftime(self.fmt)
cursor.execute("INSERT INTO fs_clean(\"clean_date\") VALUES(date('"+now+"'));")
connection.commit()
connection.close()
except Exception as e:
raise
def createDB(self):
if self.stopThread:
return
if os.path.exists(self.DATABASE_OUTNAME):
os.unlink(self.DATABASE_OUTNAME)
# read
geosisma_geo_schema = ""
with open(self.DATABASE_OUTNAME_SCHEMAFILE, 'r') as fs:
geosisma_geo_schema += fs.read()
# connect spatialite db
conn = db.connect(self.DATABASE_OUTNAME)
# create spatial metadata... depending on SL3 or SL4
try:
conn.cursor().execute("SELECT InitSpatialMetadata(1);")
except:
conn.cursor().execute("SELECT InitSpatialMetadata();")
# create DB
try:
self.procMessage.emit("Inizializza il DB Spatialite temporaneo", QgsMessageLog.INFO)
conn.cursor().executescript(geosisma_geo_schema)
except db.Error as e:
self.procMessage.emit(e.message, QgsMessageLog.CRITICAL)
raise e
def populateDB(self, selectedComuni):
if self.stopThread:
return
# connect spatialite db
conn = db.connect(self.DATABASE_OUTNAME)
try:
# copy tables
tables = ["istat_regioni", "istat_province", "codici_belfiore", "istat_loc_tipi", "istat_comuni"]
for table in tables:
self.copyTable(conn, table)
# copy table with geom
tables = ["istat_loc"]
for table in tables:
self.copyGeomTable(conn, table)
# get fab_catasto poligons only related to selectedComuni
for comune in selectedComuni:
self.copyCatastoPolygons(conn, comune)
# get fab_10k poligons only related to selectedComuni
for comune in selectedComuni:
self.copyFab10kPolygons(conn, comune)
#commit population
conn.commit()
except db.Error as e:
self.procMessage.emit(e.message, QgsMessageLog.CRITICAL)
raise e
def add_price(self, bar, price, drink_type, orig_date, lat, lon, remote_host, user_agent, userid):
conn = sqlite3.connect(config['dbfile'])
conn.execute("""insert into pricings
(barid, drink_type, price, date, geometry, host, user_agent, userid)
values (?, ?, ?, ?, geomFromText('point(%f %f)', 4326), ?, ?, ?)""" % (lon, lat),
(bar.pkuid, drink_type, price, orig_date, remote_host, user_agent, userid))
conn.commit()
def add_or_update_nodes(self, nodeset, source_file="unknown"):
ignored_bars = 0
updated_bars = 0
new_bars = 0
conn = sqlite3.connect(config['dbfile'])
c = conn.cursor()
update_tstamp = time.time()
for barn in nodeset.values():
if 'name' not in barn.tags or barn.tags["name"] == "":
ignored_bars += 1
else:
# Always updated, but use a key to make sure that we never make a duplicate.
bar = Bar(barn.tags["name"], float(barn.lat), float(barn.lon), type=barn.tags["amenity"], osmid=barn.id)
cnt = c.execute("select count(1) from bars where osmid = ?", (bar.osmid,)).fetchone()[0]
if cnt >= 1:
c.execute("update bars set name = ?, type =?, updated = ?, geometry = geomFromText('POINT(%f %f)', 4326) where osmid = ?" % (bar.lon, bar.lat),
(bar.name, bar.type, update_tstamp, bar.osmid))
updated_bars += 1
else:
# oh f**k you very much spatialite
c.execute("insert into bars (name, type, osmid, created, geometry) values (?, ?, ?, ?, geomFromText('POINT(%f %f)', 4326))" % (bar.lon, bar.lat),
(bar.name, bar.type, bar.osmid, update_tstamp))
new_bars += 1
username = "******" # FIXME
# FIXME - make this log a failure too please!
c.execute("""insert into data_updates (date, username, bars_created, bars_modified, source_file, status)
values (?, ?, ?, ?, ?, ?)""",
(update_tstamp, username, new_bars, updated_bars, source_file, "OK"))
conn.commit()
conn.close()
log.info("loaded %d bars, ignored %d nameless, created %d, updated %d", len(nodeset), ignored_bars, new_bars, updated_bars)
def searchObject(point_lat, point_lng, db_file):
conn = db.connect(DB_DIR + db_file)
cur = conn.cursor()
sql = "SELECT id, geometry, name, sub_type, country, min_lat, min_lng, max_lat, max_lng, scale, eng_name FROM object WHERE min_lng <= " + str(point_lng) + " AND min_lat <= " + str(point_lat) + " AND max_lng >= " + str(point_lng) + " AND max_lat >= " + str(point_lat)
id = -1
res = cur.execute(sql)
for rec in res:
id = rec[0]
geometry = rec[1].strip().encode('utf-8')
name = rec[2].encode('utf-8')
sub_type = rec[3].encode('utf-8')
country = rec[4].encode('utf-8')
min_lat = rec[5]
min_lng = rec[6]
max_lat = rec[7]
max_lng = rec[8]
scale = rec[9]
eng_name = rec[10].encode('utf-8')
point_geometry = '{"type":"Point","coordinates":[' + str(point_lng) + ',' + str(point_lat) + ']}'
if id != -1:
sql = "SELECT Intersects(GeomFromGeoJSON('" + geometry + "'),GeomFromGeoJSON('" + point_geometry + "'))"
res2 = cur.execute(sql)
in_obj = 0
for rec2 in res2:
print 're2c=' + str(rec2)
in_obj = rec2[0]
if in_obj == 1:
cur.close()
conn.close()
return (name, sub_type, geometry, country, id, (min_lat + max_lat) / 2, (min_lng + max_lng) / 2, scale, eng_name)
cur.close()
conn.close()
return None
def avg_prices_for_bar(self, bar_pkuid):
prices = []
conn = sqlite3.connect(config['dbfile'])
rows = conn.execute("select drink_type, avg(price), count(price) from pricings where barid = ? group by drink_type", (bar_pkuid,)).fetchall()
for row in rows:
prices.append({'drink_type': row[0], 'average': row[1], 'samples': row[2]})
return prices
def init_spatialite(self):
# Get spatialite version
c = self.con.cursor()
try:
self._exec_sql(c, u'SELECT spatialite_version()')
rep = c.fetchall()
v = [int(a) for a in rep[0][0].split('.')]
vv = v[0] * 100000 + v[1] * 1000 + v[2] * 10
# Add spatialite support
if vv >= 401000:
# 4.1 and above
sql = "SELECT initspatialmetadata(1)"
else:
# Under 4.1
sql = "SELECT initspatialmetadata()"
self._exec_sql_and_commit(sql)
except:
return False
finally:
self.con.close()
try:
self.con = sqlite.connect(self.con_info())
except (sqlite.InterfaceError, sqlite.OperationalError) as e:
raise DbError(unicode(e))
return self.check_spatialite()
def init_spatialite(self):
# Get spatialite version
c = self.con.cursor()
try:
self._exec_sql(c, u'SELECT spatialite_version()')
rep = c.fetchall()
v = [int(x) if x.isdigit() else x for x in re.findall("\d+|[a-zA-Z]+", rep[0][0])]
# Add spatialite support
if v >= [4, 1, 0]:
# 4.1 and above
sql = "SELECT initspatialmetadata(1)"
else:
# Under 4.1
sql = "SELECT initspatialmetadata()"
self._exec_sql_and_commit(sql)
except:
return False
finally:
self.con.close()
try:
self.con = sqlite.connect(self.con_info())
except (sqlite.InterfaceError, sqlite.OperationalError) as e:
raise DbError(unicode(e))
return self.check_spatialite()
def getNativeFields(self, type):
'''
Gets the native fields with type from database
:param type: XSD schema type
:type type: PAGType
'''
conn = db.connect(self.database)
cursor = conn.cursor()
rs = cursor.execute("PRAGMA table_info('{}')".format(type.name))
for i in range(len(rs.description)):
if rs.description[i][0] == 'name':
name_index = i
if rs.description[i][0] == 'type':
type_index = i
fields =[]
for row in rs:
fields.append((row[name_index],row[type_index]))
cursor.close()
del cursor
conn.close()
del conn
return fields
def _updateDatabase(self):
'''
Updates the project database
'''
xsd_schema = main.xsd_schema
createdb = not os.path.isfile(self.database)
conn = db.connect(self.database)
# Create database if not exist
if createdb:
cursor=conn.cursor()
cursor.execute("SELECT InitSpatialMetadata()")
del cursor
# Check and update tables
for type in xsd_schema.types:
uri = self.getTypeUri(type)
layer = QgsVectorLayer(uri, type.friendlyName(), 'spatialite')
# Create layer if not valid
if not layer.isValid():
self._createTable(conn, type)
layer = QgsVectorLayer(uri, type.friendlyName(), 'spatialite')
self._updateTable(type, layer, True)
# Check and update the import log table
self._updateImportLogTable(conn)
conn.close()
del conn
def setUpClass(cls):
"""Run before all tests"""
# create test db
cls.dbname = os.path.join(tempfile.gettempdir(), "test.sqlite")
if os.path.exists(cls.dbname):
os.remove(cls.dbname)
con = sqlite3.connect(cls.dbname)
cur = con.cursor()
sql = "SELECT InitSpatialMetadata()"
cur.execute(sql)
# simple table with primary key
sql = "CREATE TABLE test_pg (id INTEGER NOT NULL PRIMARY KEY, name TEXT NOT NULL)"
cur.execute(sql)
sql = "SELECT AddGeometryColumn('test_pg', 'geometry', 4326, 'POLYGON', 'XY')"
cur.execute(sql)
sql = "INSERT INTO test_pg (id, name, geometry) "
sql += "VALUES (1, 'toto', GeomFromText('POLYGON((0 0,1 0,1 1,0 1,0 0))', 4326))"
cur.execute(sql)
# table with multiple column primary key
sql = "CREATE TABLE test_pg_mk (id INTEGER NOT NULL, name TEXT NOT NULL, PRIMARY KEY(id,name))"
cur.execute(sql)
sql = "SELECT AddGeometryColumn('test_pg_mk', 'geometry', 4326, 'POLYGON', 'XY')"
cur.execute(sql)
sql = "INSERT INTO test_pg_mk (id, name, geometry) "
sql += "VALUES (1, 'toto', GeomFromText('POLYGON((0 0,1 0,1 1,0 1,0 0))', 4326))"
cur.execute(sql)
con.commit()
con.close()
def addObject(name, sub_type, country, geometry, scale, eng_name, db_file):
conn = db.connect(DB_DIR + db_file)
cur = conn.cursor()
sql = "SELECT MbrMinX(GeomFromGeoJSON('"+ geometry +"')) as min_lng, MbrMinY(GeomFromGeoJSON('"+ geometry +"')) as min_lat, MbrMaxX(GeomFromGeoJSON('"+ geometry +"')) as max_lng, MbrMaxY(GeomFromGeoJSON('"+ geometry +"')) as max_lat"
print sql
res = cur.execute(sql)
for rec in res:
print rec
min_lng = rec[0]
min_lat = rec[1]
max_lng = rec[2]
max_lat = rec[3]
name = filterString(name)
if len(name) == 0:
return None
cur.execute("INSERT INTO object (name, sub_type, geometry, min_lng, min_lat, max_lng, max_lat, country, scale, eng_name) VALUES(?,?,?,?,?,?,?,?,?,?)", (name, sub_type, geometry,min_lng,min_lat,max_lng,max_lat,country,scale,eng_name))
conn.commit()
cur.execute("SELECT id, geometry, name, sub_type, country, min_lat, min_lng, max_lat, max_lng, scale, eng_name FROM object WHERE name=?",(name,))
id = -1
for rec in res:
id = rec[0]
geometry = rec[1].strip().encode('utf-8')
name = rec[2].encode('utf-8')
sub_type = rec[3].encode('utf-8')
country = rec[4].encode('utf-8')
min_lat = rec[5]
min_lng = rec[6]
max_lat = rec[7]
max_lng = rec[8]
scale = rec[9]
eng_name = rec[10].encode('utf-8')
if id == -1:
return None
else:
return (name, sub_type, geometry, country, id, (min_lat+max_lat)/2, (min_lng+max_lng)/2, scale, eng_name)
def store_attempt(task_id):
"""Stores information about the task"""
conn = db.connect('noaddr.sqlite')
cur = conn.cursor()
res = cur.execute("SELECT id from anomaly where id IS %d" % int(task_id))
recs = res.fetchall()
if not len(recs) == 1:
abort(404)
#dct = geojson.loads(request.json)
dct = request.form
# We can now handle this object as we like, but for now, let's
# just handle the action
action = dct['action']
if action == 'fixed':
pass
elif action == 'notfixed':
pass
elif action == 'someonebeatme':
pass
elif action == 'falsepositive':
pass
elif action == 'skip':
pass
elif action == 'noerrorafterall':
pass
# We need to return something, so let's return an empty
# string. Maybe in the future we'll think of something useful to
# return and return that instead
return ""
def searchCity(point_lat, point_lng, db_file):
conn = db.connect(DB_DIR + db_file)
cur = conn.cursor()
sql = "SELECT id, geometry, city_name, city_lastname, country, min_lat, min_lng, max_lat, max_lng, scale FROM city WHERE min_lng <= " + str(point_lng) + " AND min_lat <= " + str(point_lat) + " AND max_lng >= " + str(point_lng) + " AND max_lat >= " + str(point_lat)
id = -1
res = cur.execute(sql)
for rec in res:
id = rec[0]
print 'id=%i' % id
city_geometry = rec[1].strip().encode('utf-8')
city_name = rec[2].encode('utf-8')
city_lastname = rec[3].encode('utf-8')
city_country = rec[4].encode('utf-8')
min_lat = rec[5]
min_lng = rec[6]
max_lat = rec[7]
max_lng = rec[8]
scale = rec[9]
#print 'city_name=%s' % city_name
#print 'min_lat=%f max_lat=%f min_lng=%f max_lng=%f' % (min_lat, max_lat, min_lng, max_lng)
point_geometry = '{"type":"Point","coordinates":[' + str(point_lng) + ',' + str(point_lat) + ']}'
if id != -1:
sql = "SELECT Intersects(GeomFromGeoJSON('" + city_geometry + "'),GeomFromGeoJSON('" + point_geometry + "'))"
res2 = cur.execute(sql)
in_city = 0
for rec2 in res2:
print 'rec=' + str(rec2)
in_city = rec2[0]
if in_city == 1:
cur.close()
conn.close()
return (city_name, city_lastname, city_geometry, city_country, id, (min_lat + max_lat) / 2, (min_lng + max_lng) / 2, scale)
cur.close()
conn.close()
return None
def getListObject(db_file):
conn = db.connect(DB_DIR + db_file)
cur = conn.cursor()
sql = "SELECT id, geometry, name, sub_type, country, min_lat, min_lng, max_lat, max_lng, scale, eng_name FROM object ORDER BY name"
res = cur.execute(sql)
objlist = []
for rec in res:
id = rec[0]
geometry = rec[1].strip().encode('utf-8')
name = rec[2].encode('utf-8')
sub_type = rec[3].encode('utf-8')
country = rec[4].encode('utf-8')
min_lat = rec[5]
min_lng = rec[6]
max_lat = rec[7]
max_lng = rec[8]
scale = rec[9]
eng_name = rec[10].encode('utf-8')
item = '{"res":true, "name":"' + name + '", "sub_type":"' + sub_type + '","geometry":' + geometry + ', "country":"' + country + '", "id":' + str(id)+ ', "avg_lat":'+str((min_lat+max_lat)/2)+', "avg_lng":'+str((min_lng+max_lng)/2)+', "scale":'+str(scale)+', "eng_name":"'+eng_name+'"}'
objlist.append(item)
cur.close()
conn.close()
if len(objlist) == 0:
return None
else:
print len(objlist)
return objlist
def delete_from_sqlite(self, source, name=None):
"""Delete the oat object from sqlite
Args:
source (str): the sqlite file (including path)
name (list): the sensor name to be used
"""
try:
from pyspatialite import dbapi2 as db
except ImportError:
raise ImportError('<pyspatialite> package not installed')
#connect / create the DB
con = db.connect(source)
cur = con.cursor()
if name is None:
name = self.name
#check if sensor exists
sql = "SELECT name FROM freewat_sensors WHERE name=?;"
res = cur.execute(sql, (self.name,)).fetchall()
if res:
#delete the sensor metadata
sql = "DELETE FROM freewat_sensors WHERE name=?;"
res = cur.execute(sql, (self.name,)).fetchall()
#delete the sensor data
sql = "DROP TABLE %s ;" % (name)
res = cur.execute(sql).fetchall() # , (name,)
else:
raise ValueError("%s not found in db %s" % (name, source))
def processCsv(infile, schemadict, outdb):
"""function that takes a file, schemadict and outdb
loops through row by row, matches with the schema
and throws each row out to the outdb"""
# let the user know that the script is running
print infile
# take the name of the file
tablename = infile.split('.')[0]
# grab pertinent part of schemadict
schema = schemadict[tablename]
f = open(infile)
# start of the dictreader, which is a great little option for csvs
reader = csv.DictReader(f)
# open a connection and create cursor to access the database
conn = sqlite3.connect(outdb)
cur = conn.cursor()
# find the intersection of csv fieldnames and the schema
headers = [x for x in reader.fieldnames if x in schema.keys()]
# i really have no experience with how to do this, i know it is wrong
# but i am just making a string with the right amount of question marks
questionmarks = '?,' * len(headers)
# create a base string that has everything but the values
string = "insert or replace into {0} {2} values({1})".format(tablename, questionmarks[:-1], tuple(headers))
# loop through each row of the infile
for r in reader:
# process each element of the row through the schema
# so strs stay as strings, and ints get converted to integers
vals = [schema[k](r[k]) for k in reader.fieldnames if k in schema]
# execute
cur.execute(string, vals)
# commit and close
conn.commit()
conn.close()
def createDB(self):
self.setWindowTitle(self.tr("Crea il DB %s" % gw.GEOSISMA_DBNAME) )
self.setRange( 0, 3 )
if self.stopThread:
return
if os.path.exists(self.DATABASE_OUTNAME):
os.unlink(self.DATABASE_OUTNAME)
# read
geosismadb_schema = ""
with open(self.DATABASE_SCHEMAFILE, 'r') as fs:
geosismadb_schema += fs.read()
self.onProgress()
# connect spatialite db
conn = db.connect(self.DATABASE_OUTNAME)
# create DB
try:
self.resetMessage.emit(self.tr("Inizializza il DB Spatialite; %s" % self.DATABASE_OUTNAME), QgsMessageLog.INFO)
conn.cursor().executescript(geosismadb_schema)
self.onProgress()
except db.Error as e:
self.resetMessage.emit(e.message, QgsMessageLog.CRITICAL)
raise e
self.onProgress(-1)
def get_connection(db_path):
connection = spatialite.connect(db_path)
if LOAD_AS_EXTENSION:
# print('spatialite loaded as sqlite extension')
connection.enable_load_extension(True)
libspatialite_shared_libs = [
'libspatialite.so',
'libspatialite',
'mod_spatialite',
'/usr/local/opt/libspatialite/lib/mod_spatialite',
'libspatialite.dll'
]
load_successfull = False
for lib_name in libspatialite_shared_libs:
load_ext_query = 'SELECT load_extension("{0}")'.format(lib_name)
try:
connection.execute(load_ext_query)
load_successfull = True
break
except:
pass
if not load_successfull:
print("Unable to load spatialite sqlite3 extension")
sys.exit(0)
return connection
def extractData(spatiaLitePath, tableName, id, attributes):
try:
conn = db.connect(spatiaLitePath)
cur = conn.cursor()
constAttributes = getConstAttributes(cur, tableName)
varAttributes = getVarAttributes(cur, tableName)
constData = getConstData(cur, tableName, id)
varData = getVarData(cur, tableName, id)
image = getGeometryImage(cur, tableName, id)
#Filtering stuff
if attributes:
varAttr_ = []
constAttr_ = []
constData_ = []
varData_ = []
for index, value in enumerate(constAttributes):
if value in attributes[0]:
constAttr_.append(constAttributes[index])
constData_.append(constData[index])
for index, value in enumerate(varAttributes):
if value in attributes[1]:
varAttr_.append(varAttributes[index])
for i,v in enumerate(varData):
if len(varData_) <= i:
varData_.append([varData[i][index]])
else:
varData_[i].append(varData[i][index])
return[constAttr_, constData_, varAttr_, varData_, image]
except db.Error, e:
print "Error %s:" % e.args[0]
sys.exit()
def CheckFailedOpen(self):
YOU_CANNOT_OPEN_THIS = "/foo/bar/bla/23534/mydb.db"
try:
con = sqlite.connect(YOU_CANNOT_OPEN_THIS)
except sqlite.OperationalError:
return
self.fail("should have raised an OperationalError")
def main():
u"""Función centinela"""
# try:
parser = ArgumentParser(
description='Genera un archivo GTFS estático para Santander',
version='gtfs4sdr 1.0')
parser.add_argument('-osm',
action="store_true",
default=False,
help='descarga nueva cartografia desde OpenStreetMap')
parser.add_argument('-shp',
action="store_true",
help='crea un archivo shapes.txt')
parser.add_argument(
'-fv',
action="store_true",
default=False,
help='comprueba el archivo GTFS generado mediante FeedValidator')
parser.add_argument(
'-sv',
action="store_true",
default=False,
help='comprueba el archivo GTFS generado mediante ScheduleViewer')
parser.add_argument('-g',
action="store_true",
default=False,
help='genera el grafo para OpenTripPlanner')
parser.add_argument('-ops',
action="store_true",
default=False,
help='sube el archivo Graph.obj generado a OpenShift')
argumentos = parser.parse_args()
shapes = argumentos.shp
openstreetmap = argumentos.osm
feedv = argumentos.fv
schedulev = argumentos.sv
grafo = argumentos.g
openshift = argumentos.ops
if openstreetmap is True:
downloadOSM()
importOSM()
con = db.connect('/var/tmp/gtfs.sqlite')
cursor = con.cursor()
cursor.execute("DROP TABLE IF EXISTS relaciones")
cursor.execute('CREATE TABLE relaciones (relacion INT, id TEXT);')
con.commit()
cursor.close()
cargar_relaciones(RELACIONES)
relaciones_lista = csv_orden_relaciones()
import_orden_relaciones()
sentidos_relaciones()
ordenar_vias(relaciones_lista)
convertir_geometria()
ptos_rutas()
calcular_distancia(relaciones_lista)
excepciones()
exportar_shape()
# COMIENZA LA CONSTRUCCION DEL GTFS EXCEPTO LOS SHAPES
exportar_calc(GTFS_ODS)
exportar_calc(TIEMPOS_PARADAS)
importar_csv()
errores_excepciones()
tiempos_paradas()
ajuste_tiempos_paradas()
tiempos_iguales()
vista_stop_times()
exportar_csv(GTFS_DIR) # Exporta la vista final a csv
# Elimina shapes.txt que esta vacío para susutituirlo por shapes_tmp.txt
# que es el bueno y se renombra
if os.path.isfile(GTFS_DIR + "shapes_tmp.txt") is True:
print(Fore.GREEN + "AVISO:" + Fore.RESET +
" Renombrando shape_tmp.txt -> shape.txt")
os.system("rm " + GTFS_DIR + "shapes.txt")
os.system("mv " + GTFS_DIR + "shapes_tmp.txt " + GTFS_DIR +
"shapes.txt")
comprimir_txt(GTFS_DIR, HOME) # Comprime los archivos
if feedv is True:
feedvalidator(GTFS_DIR)
if schedulev is True:
scheduleviewer(GTFS_DIR)
if grafo is True:
generar_grafo(OTP)
if openshift is True:
subir_grafo(OPENSHIFT_DIR, OTP)
pygame.init()
pygame.mixer.Sound(
"/usr/bin/cvlc /usr/share/sounds/KDE-Sys-App-Positive.ogg").play()
print(Back.GREEN + "¡Finalizado!" + Back.RESET)
def setUp(self):
self.con = sqlite.connect(":memory:")
def setUp(self):
self.con = sqlite.connect(":memory:")
self.cur = self.con.cursor()
def GridFloodingAreas(mydb_path_user, PathFiles, DamID, UseEnergyHead):
NotErr = bool('True')
errMsg = 'OK'
MatriceRisultati = []
# ---------------------------------
PathFiles = os.path.realpath(PathFiles)
mydb_path_user = os.path.realpath(mydb_path_user)
# polygon floodable area
AreaInondabile = PathFiles + os.sep + 'AreaInondabile_tot.shp'
# Polygon Areas1: first component of the floodable area
# ------------------------------------------------------
# area on the right and left of the evaluated river axis
# based on the width in the right and left obtained
# from model propagation calculation
# one-dimensional
AreaInondabile_1 = PathFiles + os.sep + 'AreaInondabile_1.shp'
if not os.path.exists(PathFiles):
errMsg = "There is no data for the dam num =%s \nEffettuare prima il calcolo delle sezioni a valle !" % (
DamID)
NotErr = bool()
return NotErr, errMsg
else:
os.chdir(PathFiles)
log_file = open('log.txt', 'w')
timenow_our = datetime.now().strftime('%y-%m-%d %H:%M')
log_file.write('Start %s\n' % timenow_our)
log_file.close()
# trace intermediate sections representative of the section
CrossMedie = PathFiles + os.sep + 'CrossSecMean.shp'
if not os.path.exists(CrossMedie):
errMsg = "Missing CrossSecMean.shp for the dam num =%s \nPerform the calculation of the downstream sections first!" % (
DamID)
NotErr = bool()
return NotErr, errMsg
StreamDH = PathFiles + os.sep + 'StreamDHFilled.tif'
if not os.path.exists(StreamDH):
errMsg = "Missing for the dam num =%s il StreamDH\nCarry out first ModificaDH !" % (
DamID)
NotErr = bool()
return NotErr, errMsg
# poligoni tratti
CrossSecPoly = PathFiles + os.sep + 'CrossSecPoly.shp'
if not os.path.exists(CrossSecPoly):
errMsg = "Missing CrossSecPoly.shp for the dam num =%s \nPerform the calculation of the downstream sections first!" % (
DamID)
NotErr = bool()
return NotErr, errMsg
# poligoni tratti divisi in destra e sinistra
CrossSecPoly_2 = PathFiles + os.sep + 'CrossSecPoly_2.shp'
if not os.path.exists(CrossSecPoly_2):
errMsg = "Missing CrossSecPoly_2.shp for the dam num =%s \nPerform the calculation of the downstream sections first !" % (
DamID)
NotErr = bool()
return NotErr, errMsg
# i due poligoni sinistra e destra idraulica
PolySxDx = PathFiles + os.sep + 'PolySxDx.shp'
if not os.path.exists(PolySxDx):
errMsg = "Missing PolySxDx.shp for the dam num =%s \nPerform the calculation of the downstream sections first !" % (
DamID)
NotErr = bool()
return NotErr, errMsg
FileMatricePixDestra = PathFiles + os.sep + 'MatricePixDestra.csv'
if not os.path.exists(FileMatricePixDestra):
errMsg = "Missing for the dam num =%s MatricePixDestra.csv\nPerform CreaCurveAreaAltezza first !" % (
DamID)
NotErr = bool()
return NotErr, errMsg
# =======================================
# Reading the characteristics of the GRID
# =======================================
gdal.AllRegister()
indataset = gdal.Open(StreamDH, GA_ReadOnly)
if indataset is None:
errMsg = 'Could not open file %s' % StreamDH
NotErr = bool()
return NotErr, errMsg
geotransform = indataset.GetGeoTransform()
originX = geotransform[0]
originY = geotransform[3]
pixelWidth = geotransform[1]
pixelHeight = geotransform[5]
cols = indataset.RasterXSize
rows = indataset.RasterYSize
bands = indataset.RasterCount
iBand = 1
inband = indataset.GetRasterBand(iBand)
inNoData = inband.GetNoDataValue()
prj = indataset.GetProjectionRef()
spatialRef = osr.SpatialReference()
try:
spatialRef.ImportFromWkt(prj)
except:
pass
inband = None
indataset = None
# --------------------
# reading from the database
# --------------------
conn = sqlite3.connect(mydb_path_user,
detect_types=sqlite3.PARSE_DECLTYPES
| sqlite3.PARSE_COLNAMES)
cur = conn.cursor()
# reading the data for the calculation of flooding widths
NomeTabella = 'Q_H_max'
sql = 'SELECT '
sql += ' PixDist'
sql += ', Progr_fiume'
sql += ', Qmax'
sql += ', Hmax'
sql += ', Bmax'
sql += ', Vmax'
sql += ', Time'
sql += ' FROM %s' % NomeTabella
sql += ' WHERE DamID=%d' % (DamID)
sql += ' ORDER BY PixDist;'
cur.execute(sql)
MatriceDati = cur.fetchall()
if len(MatriceDati) == 0:
errMsg = "Missing for the dam num =%s data Q_H_max\nCarry out first Calculation of propagation !" % (
DamID)
NotErr = bool()
return NotErr, errMsg
ListaTratti = []
Progr_fiume = []
Qmax = []
Hmax = []
Bmax = []
Vmax = []
Time = []
for row in MatriceDati:
ListaTratti.append(int(row[0]))
Progr_fiume.append(float(row[1]))
Qmax.append(float(row[2]))
Hmax.append(float(row[3]))
Bmax.append(float(row[4]))
Vmax.append(float(row[5]))
Time.append(float(row[6]))
# array
Progr_fiume_array = numpy.array(Progr_fiume, dtype=numpy.float)
Qmax_array = numpy.array(Qmax, dtype=numpy.float)
Hmax_array = numpy.array(Hmax, dtype=numpy.float)
Bmax_array = numpy.array(Bmax, dtype=numpy.float)
Vmax_array = numpy.array(Vmax, dtype=numpy.float)
Time_array = numpy.array(Time, dtype=numpy.float)
# finding the maximum depth value
Hmax_tot = Hmax_array.max()
# reading of the curves necessary to evaluate the shift to the right of the flood area
fin = open(FileMatricePixDestra, 'r')
reader = csv.reader(fin, delimiter=';')
try:
# python 2.7
headers = reader.next()
except:
# python 3.4
headers = reader.__next__()
nn = len(headers)
hvals = []
Vettoreh = []
for i in range(1, nn):
hvals.append(headers[i])
pp = headers[i].split('=')
Vettoreh.append(float(pp[1]))
# water depth array
H_Array = numpy.array(Vettoreh, dtype=numpy.float)
# dictionary of section numbers
dic_PixDist = {}
# matrix of the quantities
MatricePix = []
ii = -1
for row in reader:
ii += 1
dic_PixDist[int(row[0])] = ii
MatricePix.append(row[1:])
fin.close()
# matrix of the percentage of area on the right bank of the river for each height
MatriceArray = numpy.array(MatricePix, dtype=numpy.float)
NomeTabellaMatrice = 'MatriceAexp'
sql = 'SELECT '
sql += ' PixDist'
sql += ', progr_lungo_fiume'
sql += ', distanza_fiume'
sql += ', distanza_linea_retta'
sql += ', pend'
sql += ', ka'
sql += ', ma'
sql += ', kq'
sql += ', mq'
sql += ', kcel'
sql += ', mcel'
sql += ' FROM %s' % NomeTabellaMatrice
sql += ' WHERE DamID=%d' % (DamID)
sql += ' ORDER BY PixDist;'
cur.execute(sql)
MatriceDati = cur.fetchall()
if len(MatriceDati) == 0:
errMsg = "Missing for the dam num =%s data MatriceAexp\nCarry out first calculation of geometric quantitiese !" % (
DamID)
NotErr = bool()
return NotErr, errMsg
# coefficient matrix: ka;ma;kq;mq;kcel;mcel for each section
dic_MatriceCoeff = {}
# list of section numbers
ListaNumSez = []
for row in MatriceDati:
tratto_cur = int(row[0])
ListaNumSez.append(tratto_cur)
dic_MatriceCoeff[tratto_cur] = row[3:]
# Close communication with the database
cur.close()
conn.close()
# reading of the sections
# ---------------------
nomecampoAltezza = 'hmax'
driver = ogr.GetDriverByName('ESRI Shapefile')
ds = driver.Open(CrossMedie, 1)
if ds is None:
errMsg = 'Could not open ' + CrossMedie
NotErr = bool()
return NotErr, errMsg
layer = ds.GetLayer()
feat = layer.GetNextFeature()
Spatialref = layer.GetSpatialRef()
Spatialref.AutoIdentifyEPSG()
SourceEPSG = int(Spatialref.GetAuthorityCode(None))
# list of points in left and right
ListaPtSx = []
ListaPtDx = []
# dictionary of flood limit distances in left and right
dic_DistSx = {}
dic_DistDx = {}
DV_sez = {}
Time_min_sez = {}
while feat:
NumSez = feat.GetField('id')
if NumSez == 0:
NumSez = ListaNumSez[0]
# midpoint distance
dist1 = feat.GetField('dist1')
# progressive along the river path
progr = feat.GetField('progr')
linea = feat.GetGeometryRef()
Length = linea.Length()
pt1 = linea.GetPoint(0)
pt2 = linea.GetPoint(1)
Qsez = numpy.interp(progr, Progr_fiume_array, Qmax_array)
Hsez = numpy.interp(progr, Progr_fiume_array, Hmax_array)
Bsez = numpy.interp(progr, Progr_fiume_array, Bmax_array)
Vsez = numpy.interp(progr, Progr_fiume_array, Vmax_array)
Timesez = numpy.interp(progr, Progr_fiume_array, Time_array)
# check if use energy elevation
if UseEnergyHead:
# instead of the depth of water use energy elevation
hcinetica = Vsez**2 / 2.0 / 9.81
Htot = Hsez + hcinetica
else:
Htot = Hsez
# load the dictionary
DV_sez[NumSez] = Qsez / Bsez
Time_min_sez[NumSez] = int(Timesez / 60.0)
feat.SetField(nomecampoAltezza, Htot)
layer.SetFeature(feat)
# reading the widths of the wet area on the right and left
# ..........................................................
try:
MatriceCoeff = dic_MatriceCoeff[NumSez]
except:
pass
ka = float(MatriceCoeff[2])
ma = float(MatriceCoeff[3])
mb = ma - 1.0
# wet width for water level
Bsez_tot = ka * ma * math.pow(Htot, mb)
PercDx = numpy.interp(Htot, H_Array, MatriceArray[dic_PixDist[NumSez]])
Bdx = Bsez_tot * PercDx
Bsx = Bsez_tot - Bdx
dic_DistSx[NumSez] = Bsx
dic_DistDx[NumSez] = Bdx
PercAscSx = (dist1 - Bsx) / Length
PercAscDx = (dist1 + Bdx) / Length
Pt_Sx = PuntoIntermedio(pt1, pt2, PercAscSx)
Pt_Dx = PuntoIntermedio(pt1, pt2, PercAscDx)
ListaPtSx.append(Pt_Sx)
ListaPtDx.append(Pt_Dx)
feat = layer.GetNextFeature()
ds.Destroy()
log_file = open('log.txt', 'a')
log_file.write('End scrittura hmax\n')
log_file.close()
# making the polygon based on the river path
# ......................................................
try:
# creating/connecting the db
conn = db.connect(mydb_path_user)
except:
conn = sqlite3.connect(mydb_path_user,
detect_types=sqlite3.PARSE_DECLTYPES
| sqlite3.PARSE_COLNAMES)
# import extention
conn.enable_load_extension(True)
conn.execute('SELECT load_extension("mod_spatialite")')
# creating a Cursor
cur = conn.cursor()
NomeTabellaLinee = 'Downstreampath'
sql = 'SELECT TotalLength,ST_AsText(geom) FROM %s WHERE DamID=%d' % (
NomeTabellaLinee, DamID)
cur.execute(sql)
ChkDiga = cur.fetchone()
if ChkDiga == None:
errMsg = "Nella tabella= %s non ci sono dati per la diga num =%s \nEffettuare prima il calcolo della linea a valle !" % (
NomeTabellaLinee, DamID)
NotErr = bool()
return NotErr, errMsg
else:
wkt_line = ChkDiga[1]
TotalLength = ChkDiga[0]
StreamLine = ogr.CreateGeometryFromWkt(wkt_line)
StreamLine.FlattenTo2D()
dic_StreamTratti = {}
inDS1 = driver.Open(CrossSecPoly, 0)
if inDS1 is None:
errMsg = 'Could not open ' + CrossSecPoly
NotErr = bool()
return NotErr, errMsg
InlayerCurve = inDS1.GetLayer()
num_tratti = InlayerCurve.GetFeatureCount()
feat = InlayerCurve.GetNextFeature()
dic_NumTratto = {}
ii = -1
while feat:
NumSez = feat.GetField('id')
ii += 1
dic_NumTratto[ii] = NumSez
poly = feat.GetGeometryRef()
line_curr = poly.Intersection(StreamLine)
if line_curr != None:
dic_StreamTratti[NumSez] = line_curr.ExportToWkt()
else:
txt = 'No intersection cross-sec num=%d' % NumSez
print(txt)
feat = InlayerCurve.GetNextFeature()
inDS1.Destroy()
# Close communication with the database
cur.close()
conn.close()
ds = driver.Open(PolySxDx, 0)
if ds is None:
errMsg = 'Could not open ' + PolySxDx
NotErr = bool()
return NotErr, errMsg
layer = ds.GetLayer()
filtro = "lato = %d" % 0
layer.SetAttributeFilter(filtro)
feat = layer.GetNextFeature()
PoligonoSx = feat.GetGeometryRef()
PoligonoSx_wkt = PoligonoSx.ExportToWkt()
layer.SetAttributeFilter(None)
layer.ResetReading()
filtro = "lato = %d" % 1
layer.SetAttributeFilter(filtro)
feat = layer.GetNextFeature()
PoligonoDx = feat.GetGeometryRef()
PoligonoDx_wkt = PoligonoDx.ExportToWkt()
ds.Destroy()
# initializing the polygon of the floodable area
PoligonoAree1 = ogr.Geometry(ogr.wkbPolygon)
PolySx = ogr.CreateGeometryFromWkt(PoligonoSx_wkt)
PolyDx = ogr.CreateGeometryFromWkt(PoligonoDx_wkt)
dist_min_pixel = pixelWidth
for i in range(num_tratti):
ii = dic_NumTratto[i]
linea_curr_wkt = dic_StreamTratti[ii]
linea_curr = ogr.CreateGeometryFromWkt(linea_curr_wkt)
for lato in range(2):
# check left
if lato == 0:
if dic_DistSx[ii] > dist_min_pixel:
polytratto = linea_curr.Buffer(dic_DistSx[ii])
else:
polytratto = linea_curr.Buffer(dist_min_pixel)
NewGeom = polytratto.Intersection(PolySx)
if NewGeom != None:
PoligonoAree1 = PoligonoAree1.Union(NewGeom)
polytratto.Destroy()
NewGeom.Destroy()
else:
PoligonoAree1 = PoligonoAree1.Union(polytratto)
# check right
elif lato == 1:
if dic_DistDx[ii] > dist_min_pixel:
polytratto = linea_curr.Buffer(dic_DistDx[ii])
else:
polytratto = linea_curr.Buffer(dist_min_pixel)
NewGeom = polytratto.Intersection(PolyDx)
if NewGeom != None:
PoligonoAree1 = PoligonoAree1.Union(NewGeom)
polytratto.Destroy()
NewGeom.Destroy()
else:
PoligonoAree1 = PoligonoAree1.Union(polytratto)
log_file = open('log.txt', 'a')
log_file.write('End PoligonoAree1\n')
log_file.close()
# making a shapefile with the PolygonAree1
# ----------------------------------------
shpnew_1 = AreaInondabile_1
if os.path.exists(shpnew_1):
driver.DeleteDataSource(shpnew_1)
outDS_1 = driver.CreateDataSource(shpnew_1)
if outDS_1 is None:
errMsg = 'Could not create file %s' % shpnew_1
NotErr = bool()
return NotErr, errMsg
outLayer_1 = outDS_1.CreateLayer('AreaInondabile_1',
Spatialref,
geom_type=ogr.wkbMultiPolygon)
fieldDefn2 = ogr.FieldDefn('id', ogr.OFTInteger)
outLayer_1.CreateField(fieldDefn2)
featureDefn_1 = outLayer_1.GetLayerDefn()
feature = ogr.Feature(featureDefn_1)
feature.SetField('id', 1)
feature.SetGeometry(PoligonoAree1)
outLayer_1.CreateFeature(feature)
outDS_1.Destroy()
# making the polygon # 2 based on the digital terrain model
# ---------------------------------------------------------------------
if not os.path.exists(StreamDH):
errMsg = 'File StreamDHFilled %s does not exist' % os.path.realpath(
StreamDH)
NotErr = bool()
return NotErr, errMsg
infile = StreamDH
indatasetElev = gdal.Open(infile, GA_ReadOnly)
if indatasetElev is None:
errMsg = 'Could not open ' + infile
NotErr = bool()
return NotErr, errMsg
prj = indatasetElev.GetProjectionRef()
geotransform = indatasetElev.GetGeoTransform()
originXElev = geotransform[0]
originYElev = geotransform[3]
pixelWidthElev = geotransform[1]
pixelHeightElev = geotransform[5]
colsElev = indatasetElev.RasterXSize
rowsElev = indatasetElev.RasterYSize
bandsElev = indatasetElev.RasterCount
iBand = 1
inbandElev = indatasetElev.GetRasterBand(iBand)
inNoDataElev = inbandElev.GetNoDataValue()
# reading the entire file at once
DH = inbandElev.ReadAsArray(0, 0, colsElev, rowsElev).astype(numpy.float32)
mask_Nodata = DH == inNoDataElev
inDS1 = driver.Open(CrossMedie, 0)
if inDS1 is None:
errMsg = 'Could not open ' + CrossMedie
NotErr = bool()
return NotErr, errMsg
InlayerCurve = inDS1.GetLayer()
spatialRef_sez = InlayerCurve.GetSpatialRef()
feat_defn = InlayerCurve.GetLayerDefn()
NumFields = feat_defn.GetFieldCount()
# creates a grid with depth to cross sections
GridSez = numpy.zeros((rowsElev, colsElev), numpy.float32)
format = 'MEM'
type = GDT_Float32
driver2 = gdal.GetDriverByName(format)
driver2.Register()
gt = indatasetElev.GetGeoTransform()
ds = driver2.Create('GridSez', indatasetElev.RasterXSize,
indatasetElev.RasterYSize, 1, type)
if gt is not None and gt != (0.0, 1.0, 0.0, 0.0, 0.0, 1.0):
ds.SetGeoTransform(gt)
if prj is not None and len(prj) > 0:
ds.SetProjection(prj)
else:
prj = spatialRef.ExportToWkt()
ds.SetProjection(prj)
iBand = 1
testo = "ATTRIBUTE=%s" % (nomecampoAltezza)
# Rasterize
outband = ds.GetRasterBand(iBand)
outband.WriteArray(GridSez, 0, 0)
CampoValore = [testo]
err = gdal.RasterizeLayer(ds, [iBand],
InlayerCurve,
burn_values=[0],
options=CampoValore)
if err != 0:
raise Exception("error rasterizing layer: %s" % err)
# Reading WL
GridSezWL = outband.ReadAsArray().astype(numpy.float32)
ds = None
# INTERPOLATE Water Level Grid
# ----------------------------
#size of grid
xmin = originXElev
xmax = xmin + colsElev * pixelWidthElev
ymax = originYElev
ymin = originYElev + rowsElev * pixelHeightElev
nx = int((xmax - xmin + 1) / pixelWidthElev)
ny = int(-(ymax - ymin + 1) / pixelHeightElev)
# Generate a regular grid to interpolate the data.
xi = numpy.linspace(xmin, xmax, nx)
yi = numpy.linspace(ymin, ymax, ny)
xi, yi = numpy.meshgrid(xi, yi)
# Reading x,y,z
mask = GridSezWL > 0
x = xi[mask]
y = yi[mask]
z = GridSezWL[mask]
# Otherwise, try Method 2 - Interpolate using scipy interpolate griddata
WLArray = il.griddata(
(x, y), z, (xi, yi), method='linear'
) #(may use 'nearest', 'linear' or 'cubic' - although constant problems w linear)
checkMask = numpy.isnan(WLArray)
nnan = checkMask.sum()
Nodata = -9999
if nnan > 0:
WLArray = numpy.choose(checkMask, (WLArray, Nodata))
# WaterDepth calculation by difference between water and ground level
Wdepth = WLArray - DH
# filtering of isolated points and internal empty points
Wdepth = signal.medfilt2d(Wdepth, kernel_size=7)
# eliminates negative values
maskWd = Wdepth <= 0.0
Wdepth = numpy.choose(maskWd, (Wdepth, Nodata))
# eliminate external anomalous values due to the filtering algorithm
maskWd = Wdepth > 9999
Wdepth = numpy.choose(maskWd, (Wdepth, Nodata))
# adds the nodata of the terrain model
Wdepth = numpy.choose(mask_Nodata, (Wdepth, Nodata))
# output file
FileDEM_out = PathFiles + os.sep + 'Hmax.tif'
format = 'GTiff'
driver = gdal.GetDriverByName(format)
type = GDT_Float32
gt = indatasetElev.GetGeoTransform()
ds = driver.Create(FileDEM_out, indatasetElev.RasterXSize,
indatasetElev.RasterYSize, 1, type)
if gt is not None and gt != (0.0, 1.0, 0.0, 0.0, 0.0, 1.0):
ds.SetGeoTransform(gt)
# sets the reference system equal to the depth map of water: if it lacks sets the default
if prj is not None and len(prj) > 0:
ds.SetProjection(prj)
else:
prj = spatialRef.ExportToWkt()
ds.SetProjection(prj)
# writing raster
iBand = 1
outband = ds.GetRasterBand(iBand)
outband.WriteArray(Wdepth, 0, 0)
outband.FlushCache()
outband.SetNoDataValue(Nodata)
outband.GetStatistics(0, 1)
outband = None
ds = None
inDS1.Destroy()
log_file = open('log.txt', 'a')
log_file.write('End Hmax.tif\n')
log_file.close()
# ----------------------------
# Rasterize PoligonoAree1
# ------------------------
PoligonoAree1_Raster = PathFiles + os.sep + 'PoligonoAree1.tif'
orig_data_source = ogr.Open(shpnew_1)
source_ds = ogr.GetDriverByName("Memory").CopyDataSource(
orig_data_source, "")
source_layer = source_ds.GetLayer()
format = 'Gtiff'
type = GDT_Int16
driver3 = gdal.GetDriverByName(format)
driver3.Register()
dsRaster = driver3.Create(PoligonoAree1_Raster, cols, rows, 1, type)
gt1 = geotransform
if gt1 is not None and gt1 != (0.0, 1.0, 0.0, 0.0, 0.0, 1.0):
dsRaster.SetGeoTransform(gt1)
if prj is not None and len(prj) > 0:
dsRaster.SetProjection(prj)
else:
prj = spatialRef.ExportToWkt()
dsRaster.SetProjection(prj)
# Rasterize
iBand = 1
outband = dsRaster.GetRasterBand(iBand)
outNodata = -9999
ClassTratti = numpy.zeros((rows, cols)).astype(numpy.int)
outband.WriteArray(ClassTratti, 0, 0)
# Rasterize
err = gdal.RasterizeLayer(dsRaster, [1],
source_layer,
burn_values=[0],
options=["ATTRIBUTE=id"])
if err != 0:
raise Exception("error rasterizing layer: %s" % err)
# Reading from the raster of the matrix with value 1 in a flooded area
MatriceDatiArea1 = outband.ReadAsArray(0, 0, cols, rows)
# eliminates any points with H greater than Hmax
DH_MatriceDatiArea1 = DH * MatriceDatiArea1
mask_greatHmax = DH_MatriceDatiArea1 > Hmax_tot
nnn = mask_greatHmax.sum()
MatriceDatiArea1 = numpy.choose(mask_greatHmax, (MatriceDatiArea1, 0))
# writing Nodata
mask_Nodata = MatriceDatiArea1 == 0
MatriceDati = numpy.choose(mask_Nodata, (MatriceDatiArea1, outNodata))
outband.WriteArray(MatriceDati, 0, 0)
outband.FlushCache()
outband.SetNoDataValue(outNodata)
outband.GetStatistics(0, 1)
outband = None
dsRaster = None
orig_data_source.Destroy()
# ----------------------------
# name of the output file with 1 in the wet cells
FileDEM_out_1 = PathFiles + os.sep + 'HH.tif'
format = 'GTiff'
driver = gdal.GetDriverByName(format)
type = GDT_Int16
gt = indatasetElev.GetGeoTransform()
ds = driver.Create(FileDEM_out_1, indatasetElev.RasterXSize,
indatasetElev.RasterYSize, 1, type)
if gt is not None and gt != (0.0, 1.0, 0.0, 0.0, 0.0, 1.0):
ds.SetGeoTransform(gt)
# sets the reference system equal to the depth map of water: if it lacks sets the default
if prj is not None and len(prj) > 0:
ds.SetProjection(prj)
else:
prj = spatialRef.ExportToWkt()
ds.SetProjection(prj)
# writing raster
iBand = 1
outband = ds.GetRasterBand(iBand)
WW = Wdepth > 0
# adding polygon areas 1
# ---------------------------
mask_Data1 = MatriceDatiArea1 == 1
# saving in the raster
WW = numpy.choose(mask_Data1, (WW, 1))
outband.WriteArray(WW, 0, 0)
outband.FlushCache()
outband.SetNoDataValue(Nodata)
outband.GetStatistics(0, 1)
outband = None
ds = None
log_file = open('log.txt', 'a')
log_file.write('End HH.tif\n')
log_file.close()
# Raster to vector
# -------------------------
# this allows GDAL to throw Python Exceptions
gdal.UseExceptions()
log_file = open('log.txt', 'a')
log_file.write('End gdal.UseExceptions()\n')
log_file.close()
fileName = FileDEM_out_1
src_ds = gdal.Open(fileName)
if src_ds is None:
errMsg = 'Could not open ' + fileName
NotErr = bool()
return NotErr, errMsg
srcband = src_ds.GetRasterBand(1)
srs = osr.SpatialReference()
srs.ImportFromWkt(src_ds.GetProjection())
log_file = open('log.txt', 'a')
log_file.write('End srs.ImportFromWkt(src_ds.GetProjection()\n')
log_file.close()
dst_layername = "PolyFtr"
drv = ogr.GetDriverByName("ESRI Shapefile")
dst_filename = PathFiles + os.sep + dst_layername + ".shp"
if os.path.exists(dst_filename):
drv.DeleteDataSource(dst_filename)
dst_ds = drv.CreateDataSource(dst_filename)
dst_layer = dst_ds.CreateLayer(dst_layername, srs=srs)
newField = ogr.FieldDefn('id', ogr.OFTInteger)
dst_layer.CreateField(newField)
log_file = open('log.txt', 'a')
log_file.write('End dst_layer.CreateField(newField)\n')
log_file.close()
# con bandmask
gdal.Polygonize(srcband, srcband, dst_layer, 0, [], callback=None)
log_file = open('log.txt', 'a')
log_file.write('End Polygonize\n')
log_file.close()
src_ds = None
dst_ds.Destroy()
# deleting the temporary grid
os.remove(fileName)
log_file = open('log.txt', 'a')
log_file.write('End remove HH.tif\n')
log_file.close()
# performing the union of the polygons
# ----------------------------------
in_layername = PathFiles + os.sep + "PolyFtr.shp"
shpdriver = ogr.GetDriverByName('ESRI Shapefile')
inDS1 = shpdriver.Open(in_layername, 0)
if inDS1 is None:
errMsg = 'Could not open ' + in_layername
NotErr = bool()
return NotErr, errMsg
InlayerCurve = inDS1.GetLayer()
feat = InlayerCurve.GetNextFeature()
poly_tot = ogr.Geometry(ogr.wkbMultiPolygon)
while feat:
poly = feat.GetGeometryRef()
# aggiungo geometria poligonale
poly_tot.AddGeometry(poly)
feat = InlayerCurve.GetNextFeature()
inDS1.Destroy()
log_file = open('log.txt', 'a')
log_file.write('End PolyFtr.shp\n')
log_file.close()
# creating the final flood area
# -----------------------------
# saving in the geodatabase
# ---------------------------------------
try:
# creating/connecting the db
conn = db.connect(mydb_path_user)
except:
conn = sqlite3.connect(mydb_path_user,
detect_types=sqlite3.PARSE_DECLTYPES
| sqlite3.PARSE_COLNAMES)
# import extention
conn.enable_load_extension(True)
conn.execute('SELECT load_extension("mod_spatialite")')
cur = conn.cursor()
TargetTabella = 'FloodExtent'
sql = "SELECT srid FROM geometry_columns WHERE f_table_name='%s'" % (
TargetTabella.lower())
cur.execute(sql)
record = cur.fetchone()
if record != None:
OriginEPSG = record[0]
else:
OriginEPSG = 32632
sql = 'SELECT PKUID,id FROM %s WHERE DamID=%d' % (TargetTabella, DamID)
cur.execute(sql)
ListaTratti = cur.fetchall()
if len(ListaTratti) > 0:
# delete previous data
sql = 'DELETE FROM %s WHERE DamID=%d' % (TargetTabella, DamID)
cur.execute(sql)
conn.commit()
inDS1 = shpdriver.Open(CrossSecPoly, 0)
if inDS1 is None:
errMsg = 'Could not open ' + CrossSecPoly
NotErr = bool()
return NotErr, errMsg
InlayerCurve = inDS1.GetLayer()
feat = InlayerCurve.GetNextFeature()
while feat:
NumSez = feat.GetField('id')
poly = feat.GetGeometryRef()
FloodSeverityString = FloodSeverity(DV_sez[NumSez])
Factor = ConseqFactot(FloodSeverityString, Time_min_sez[NumSez])
# making the intersection to get the polygon
poly_curr = poly.Intersection(poly_tot)
if poly_curr != None:
sql = 'INSERT INTO %s (DamID,id,DV,FloodSeverity,WarningTimeMin,FatalityRate,geom) VALUES (%d' % (
TargetTabella, DamID)
sql += ',%d' % NumSez
sql += ',%.2f' % DV_sez[NumSez]
sql += ',"%s"' % FloodSeverityString
sql += ',%d' % Time_min_sez[NumSez]
sql += ',%.3f' % Factor
poly_curr.FlattenTo2D()
# check if MULTIPOLYGON
TipoGeom = poly_curr.GetGeometryName()
if TipoGeom == 'POLYGON':
multipolygon = ogr.Geometry(ogr.wkbMultiPolygon)
multipolygon.AddGeometry(poly_curr)
wkt2 = multipolygon.ExportToWkt()
elif poly_curr.GetGeometryName() == 'MULTIPOLYGON':
wkt2 = poly_curr.ExportToWkt()
poly2 = ogr.CreateGeometryFromWkt(wkt2)
GeomWKT = "GeomFromText('%s',%d)" % (wkt2, OriginEPSG)
sql += ',%s' % GeomWKT
sql += ');'
cur.execute(sql)
else:
log_file = open('log.txt', 'a')
log_file.write('Err tratto n=%d\n' % NumSez)
log_file.close()
feat = InlayerCurve.GetNextFeature()
inDS1.Destroy()
log_file = open('log.txt', 'a')
log_file.write('End routine\n')
log_file.close()
conn.commit()
# Close communication with the database
cur.close()
conn.close()
return NotErr, errMsg
def migrate(self):
from_conn = spatialite.connect('navirec.sqlite')
from_cursor = from_conn.cursor()
to_cursor = self.cursor()
# traces
print "Migrating traces"
sql = "select session_id, X(geom) as longitude, Y(geom) as latitude, altitude, timestamp from Traces"
from_cursor.execute(sql)
traces = from_cursor.fetchall()
if traces is not None and len(traces) > 0:
for trace in traces:
journey_id = trace[0]
longitude = trace[1]
latitude = trace[2]
altitude = trace[3]
timestamp = trace[4]
if altitude is None:
altitude = 0
to_cursor.execute(
"SELECT * FROM trace WHERE journey_id=%s AND timestamp=%s AND ST_Equals(geometry, %s)",
(journey_id, timestamp,
ppygis.Point(longitude, latitude, altitude, srid=4326)))
matching_traces = to_cursor.fetchall()
if len(matching_traces) == 0:
sys.stdout.write('.')
to_cursor.execute(
"INSERT INTO trace (journey_id, timestamp, geometry) VALUES (%s, %s, %s)",
(journey_id, timestamp,
ppygis.Point(longitude, latitude, altitude,
srid=4326)))
else:
sys.stdout.write('!')
# routes
print "Migrating routes"
sql = "select session_id, X(PointN(geom, 1)) as longitude1, Y(PointN(geom, 1)) as latitude1, X(PointN(geom, 2)) as longitude2, Y(PointN(geom, 2)) as latitude2, timestamp, speed, mode from Routes"
from_cursor.execute(sql)
routes = from_cursor.fetchall()
if routes is not None and len(routes) > 0:
for route in routes:
journey_id = route[0]
longitude1 = route[1]
latitude1 = route[2]
longitude2 = route[3]
latitude2 = route[4]
timestamp = route[5]
speed = route[6] / 3.6
mode = route[7]
altitude = 0
point1 = ppygis.Point(longitude1,
latitude1,
altitude,
srid=4326)
point2 = ppygis.Point(longitude2,
latitude2,
altitude,
srid=4326)
line = ppygis.LineString((point1, point2), srid=4326)
to_cursor.execute(
"SELECT * FROM route WHERE journey_id=%s AND timestamp=%s AND ST_Equals(geometry, %s)",
(journey_id, timestamp, line))
matching_routes = to_cursor.fetchall()
if len(matching_routes) == 0:
sys.stdout.write('.')
to_cursor.execute(
"INSERT INTO route (journey_id, timestamp, geometry, speed, mode) VALUES (%s, %s, %s, %s, %s)",
(journey_id, timestamp, line, speed, mode))
else:
sys.stdout.write('!')
self.connection.commit()
from_conn.close()
return
def excepciones():
u"""Introduce excepciones para preparar los datos para su exportación."""
con = db.connect('/var/tmp/gtfs.sqlite')
cursor = con.cursor()
# Crea una vista para organizar los campos que deseo exportar
cursor.execute('DROP TABLE IF EXISTS shapes_csv')
sql = (
"CREATE TABLE shapes_csv AS SELECT b.id AS shape_id, a.shape_pt_lon AS shape_pt_lon, a.shape_pt_lat AS shape_pt_lat, "
"a.shape_pt_sequence AS shape_pt_sequence, a.shape_dist_traveled AS shape_dist_traveled "
"FROM shapes AS a JOIN relaciones_rutas AS b USING (relacion) ORDER BY b.id, a.shape_pt_sequence"
)
cursor.execute(sql)
# Lineas de vuelta de los ferrocarriles
print(Fore.GREEN + "AVISO:" + Fore.RESET +
" Generando líneas de vuelta de los ferrocarriles.")
ferrocarriles = [
"FEVE-S1", "FEVE-S2", "FEVE-S2-1", "FEVE-S2-2", "RENFE-C1"
]
for linea in ferrocarriles:
distancia = 0
sql = "SELECT * FROM shapes_csv WHERE shape_id = '" + \
str(linea) + "' ORDER BY shape_pt_sequence DESC LIMIT 1"
cursor.execute(sql)
tramos = cursor.fetchone()
dist_max = tramos[4]
secuencia = int(tramos[3])
print("Invirtiendo secuencia " + Fore.GREEN + str(linea) + Fore.RESET +
" --> " + Fore.GREEN + str(tramos[4]) + Fore.GREEN + " puntos.")
id_shape = linea + "-V"
# Primer punto con distancia cero
cursor.execute("SELECT * FROM shapes_csv WHERE shape_id = '" +
str(linea) + "' AND shape_pt_sequence = " +
str(secuencia) + ";")
tramo = cursor.fetchone()
cursor.execute(
"INSERT INTO shapes_csv(shape_id, shape_pt_lon, shape_pt_lat, shape_pt_sequence, shape_dist_traveled) VALUES ('"
+ str(id_shape) + "', " + str(tramo[1]) + ", " + str(tramo[2]) +
", 1, 0);")
for z in range(1, int(tramos[3])):
# Obtengo un tramo y el anterior para poder calcular la distancia
# del primero
cursor.execute("SELECT * FROM shapes_csv WHERE shape_id = '" +
str(linea) + "' AND shape_pt_sequence = " +
str(secuencia) + ";")
tramo = cursor.fetchone()
# print("Secuencia: " + str(secuencia))
cursor.execute("SELECT * FROM shapes_csv WHERE shape_id = '" +
str(linea) + "' AND shape_pt_sequence = " +
str(secuencia - 1) + ";")
anterior_tramo = cursor.fetchone()
distancia = distancia + (int(tramo[4]) - int(anterior_tramo[4]))
# print("Distancia:" + str(distancia))
cursor.execute(
"INSERT INTO shapes_csv(shape_id, shape_pt_lon, shape_pt_lat, shape_pt_sequence, shape_dist_traveled) VALUES ('"
+ str(id_shape) + "', " + str(anterior_tramo[1]) + ", " +
str(anterior_tramo[2]) + ", " + str(z + 1) + ", " +
str(distancia) + ");")
secuencia = secuencia - 1
# Ñapa para que aparezca el ultimo punto, que si no no aparecia.
cursor.execute("SELECT * FROM shapes_csv WHERE shape_id = '" +
str(linea) + "' ORDER BY shape_pt_sequence ASC LIMIT 1")
tramos = cursor.fetchone()
z = z + 1
print(Fore.GREEN + "¡Secuencias " + str(ferrocarriles) + " invertidas!")
con.commit()
cursor.close()
return
return True
# ----------------------------------------------------------------------------------------------------------------------
if __name__ in ('__main__', '__console__', '__builtin__'):
# Verzeichnis der Testdaten
pfad = 'C:/FHAC/jupiter/hoettges/team_data/Kanalprogramme/k_qkan/k_heqk/beispiele/modelldb_itwh'
database_QKan = os.path.join(pfad, 'test1.sqlite')
if os.path.exists(database_QKan):
os.remove(database_QKan)
consl = splite.connect(database=database_QKan)
cursl = consl.cursor()
# iface.messageBar().pushMessage("Information", "SpatiaLite-Datenbank wird erstellt. Bitte warten...",
# level=QgsMessageBar.INFO)
progressMessageBar = iface.messageBar().createMessage(
"Doing something boring...")
progress = QProgressBar()
progress.setMaximum(10)
progress.setAlignment(Qt.AlignLeft | Qt.AlignVCenter)
progressMessageBar.layout().addWidget(progress)
iface.messageBar().pushWidget(progressMessageBar, iface.messageBar().INFO)
progress.setValue(2)
iface.messageBar().clearWidgets()
iface.mainWindow().statusBar().showMessage(
def csv_orden_relaciones():
u"""Ordena la vías que forman cada ruta.
Analiza los XML de OSM para determinar el orden de las
vías de cada relación y los exporta a un CSV.
"""
con = db.connect('/var/tmp/gtfs.sqlite')
cursor = con.cursor()
# Al haber lineas que comparten la misma relación hay que seleccionar solo
# los IDs unicos
cursor.execute("SELECT DISTINCT(relacion) FROM relaciones_rutas;")
relaciones = cursor.fetchall()
relaciones_lista = []
for fila in relaciones:
# Volca el resultado de la consulta a una lista para utilizar en el
# análisis del XML
relaciones_lista.append(fila[0])
print(Fore.GREEN + "AVISO:" + Fore.RESET +
" Creándo el archivo /var/tmp/orden_relaciones.csv")
# Crea primero un csv con una fila que servirá de cabecera
with open("/var/tmp/orden_relaciones.csv", "wb") as archivo_texto:
writer = csv.writer(archivo_texto, quoting=csv.QUOTE_NONE)
writer.writerow(["relacion", "orden", "way"])
# Analizo todas las relaciones y actualizo el csv
print(Fore.GREEN + "AVISO:" + Fore.RESET +
" Descarga y analiza los archivos XML de las relaciones de OSM")
for r in relaciones_lista:
lista = []
print(Fore.GREEN + "AVISO:" + Fore.RESET + " Obteniendo el archivo: " +
str(r) + ".xml de OpenStreetMap")
url = 'http://api.openstreetmap.org/api/0.6/relation/' + str(r)
urllib.urlretrieve(url, str(r) + ".xml") # Descargamos el archivo.
# Cargamos en objeto xmldoc el documento xml
xmldoc = minidom.parse(str(r) + '.xml')
itemlist = xmldoc.getElementsByTagName('member')
for s in itemlist:
if s.attributes['type'].value == "way":
referencia = s.attributes['ref'].value
lista.append(referencia)
# Cargamos en la tabla 'relaciones' el id de las relaciones de OSM con la
# referencia de la linea
itemlist = xmldoc.getElementsByTagName('tag')
for s in itemlist:
if s.attributes['k'].value == "ref":
referencia = s.attributes['v'].value
cursor.execute(
"INSERT INTO relaciones (relacion, id) VALUES (" +
str(r) + ",'" + str(referencia) + "');")
# Abro el csv creado y agrego nuevas filas con las relaciones
with open("/var/tmp/orden_relaciones.csv",
"a") as archivo_texto:
writer = csv.writer(archivo_texto, quoting=csv.QUOTE_NONE)
i = 1
for val in lista:
writer.writerow([r, i, val])
i = i + 1
removefile(str(r) + ".xml") # Se elimina el archivo xml
print(
Fore.GREEN + "AVISO:" + Fore.RESET +
" Se terminó de crear el archivo /var/tmp/orden_relaciones.csv con el orden de las relaciones."
)
con.commit()
cursor.close()
return (relaciones_lista)
def connect_db(db_file):
#print db_file
conn = db.connect(db_file)
# creating a Cursor
cur = conn.cursor()
return conn, cur
os.system("dropdb epanet_test_db")
os.system("createdb epanet_test_db")
os.system("psql epanet_test_db -c 'CREATE EXTENSION postgis'")
os.system("psql epanet_test_db -f " + test_data_dir + "/epanet_test_db.sql")
# try the update
wc = [tmp_dir + "/issue357_wc0.sqlite", tmp_dir + "/issue357_wc1.sqlite"]
for f in wc:
if os.path.isfile(f): os.remove(f)
versioning_base.checkout(
"dbname=epanet_test_db",
['epanet_trunk_rev_head.junctions', 'epanet_trunk_rev_head.pipes'], f)
scur = []
for f in wc:
scur.append(versioning_base.Db(dbapi2.connect(f)))
scur[0].execute(
"INSERT INTO pipes_view(id, start_node, end_node, GEOMETRY) VALUES ('2','1','2',GeomFromText('LINESTRING(1 1,0 1)',2154))"
)
scur[0].execute(
"INSERT INTO pipes_view(id, start_node, end_node, GEOMETRY) VALUES ('3','1','2',GeomFromText('LINESTRING(1 -1,0 1)',2154))"
)
scur[0].commit()
versioning_base.commit(wc[0], 'commit 1 wc0', "dbname=epanet_test_db")
versioning_base.update(wc[1], "dbname=epanet_test_db")
scur[0].execute("UPDATE pipes_view SET length = 1")
scur[0].commit()
scur[1].execute("UPDATE pipes_view SET length = 2")
def test(host, pguser):
pg_conn_info = "dbname=epanet_test_db host=" + host + " user="******"dbname=epanet_test_copy_db host=" + host + " user="******"dropdb --if-exists -h " + host + " -U " + pguser +
" epanet_test_db")
os.system("dropdb --if-exists -h " + host + " -U " + pguser +
" epanet_test_copy_db")
os.system("createdb -h " + host + " -U " + pguser + " epanet_test_db")
os.system("createdb -h " + host + " -U " + pguser + " epanet_test_copy_db")
os.system("psql -h " + host + " -U " + pguser +
" epanet_test_db -c 'CREATE EXTENSION postgis'")
os.system("psql -h " + host + " -U " + pguser +
" epanet_test_copy_db -c 'CREATE EXTENSION postgis'")
os.system("psql -h " + host + " -U " + pguser + " epanet_test_db -f " +
test_data_dir + "/epanet_test_db.sql")
# chechout
#tables = ['epanet_trunk_rev_head.junctions','epanet_trunk_rev_head.pipes']
tables = ['epanet_trunk_rev_head.junctions', 'epanet_trunk_rev_head.pipes']
pgversioning = versioning.pgLocal(pg_conn_info, 'epanet_trunk_rev_head',
pg_conn_info_cpy)
pgversioning.checkout(tables)
pcurcpy = versioning.Db(psycopg2.connect(pg_conn_info_cpy))
pcur = versioning.Db(psycopg2.connect(pg_conn_info))
pcurcpy.execute(
"INSERT INTO epanet_trunk_rev_head.pipes_view(id, start_node, end_node, wkb_geometry) VALUES ('2','1','2',ST_GeometryFromText('LINESTRING(1 1,0 1)',2154))"
)
pcurcpy.execute(
"INSERT INTO epanet_trunk_rev_head.pipes_view(id, start_node, end_node, wkb_geometry) VALUES ('3','1','2',ST_GeometryFromText('LINESTRING(1 -1,0 1)',2154))"
)
pcurcpy.commit()
prtHid(pcurcpy, 'epanet_trunk_rev_head.pipes_view')
pcurcpy.execute("SELECT * FROM epanet_trunk_rev_head.pipes_view")
assert (len(pcurcpy.fetchall()) == 3)
pcur.execute("SELECT * FROM epanet.pipes")
assert (len(pcur.fetchall()) == 1)
pgversioning.commit('INSERT')
pcur.execute("SELECT * FROM epanet.pipes")
assert (len(pcur.fetchall()) == 3)
pcurcpy.execute(
"UPDATE epanet_trunk_rev_head.pipes_view SET start_node = '2' WHERE id = '0'"
)
pcurcpy.commit()
pcurcpy.execute("SELECT * FROM epanet_trunk_rev_head.pipes_view")
assert (len(pcurcpy.fetchall()) == 3)
pcur.execute("SELECT * FROM epanet.pipes")
assert (len(pcur.fetchall()) == 3)
pgversioning.commit('UPDATE')
pcur.execute("SELECT * FROM epanet.pipes")
assert (len(pcur.fetchall()) == 4)
pcurcpy.execute(
"DELETE FROM epanet_trunk_rev_head.pipes_view WHERE id = '2'")
pcurcpy.commit()
pcurcpy.execute("SELECT * FROM epanet_trunk_rev_head.pipes_view")
assert (len(pcurcpy.fetchall()) == 2)
pcur.execute("SELECT * FROM epanet.pipes")
assert (len(pcur.fetchall()) == 4)
pgversioning.commit('DELETE')
pcur.execute("SELECT * FROM epanet.pipes")
assert (len(pcur.fetchall()) == 4)
sqlite_test_filename1 = os.path.join(tmp_dir,
"versioning_base_test1.sqlite")
if os.path.isfile(sqlite_test_filename1): os.remove(sqlite_test_filename1)
spversioning1 = versioning.spatialite(sqlite_test_filename1, pg_conn_info)
spversioning1.checkout(
['epanet_trunk_rev_head.pipes', 'epanet_trunk_rev_head.junctions'])
scon = dbapi2.connect(sqlite_test_filename1)
scur = scon.cursor()
scur.execute(
"INSERT INTO pipes_view(id, start_node, end_node, GEOMETRY) VALUES ('4', '10','100',GeomFromText('LINESTRING(2 0, 0 2)',2154))"
)
scon.commit()
spversioning1.commit("sp commit")
pgversioning.update()
pcur.execute("SELECT * FROM epanet.pipes")
assert (len(pcur.fetchall()) == 5)
pcurcpy.execute("SELECT * FROM epanet_trunk_rev_head.pipes")
assert (len(pcurcpy.fetchall()) == 5)
pcur.execute("SELECT * FROM epanet_trunk_rev_head.pipes")
assert (len(pcur.fetchall()) == 3)
pcurcpy.execute("SELECT * FROM epanet_trunk_rev_head.pipes_view")
assert (len(pcurcpy.fetchall()) == 3)
pcur.execute("SELECT pid FROM epanet_trunk_rev_head.pipes ORDER BY pid")
ret = pcur.fetchall()
assert (list(zip(*ret)[0]) == [3, 4, 5])
pcurcpy.execute(
"SELECT ogc_fid FROM epanet_trunk_rev_head.pipes_view ORDER BY ogc_fid"
)
ret = pcurcpy.fetchall()
assert (list(zip(*ret)[0]) == [3, 4, 5])
pcurcpy.execute(
"INSERT INTO epanet_trunk_rev_head.pipes_view(id, start_node, end_node, wkb_geometry) VALUES ('4','1','2',ST_GeometryFromText('LINESTRING(3 2,0 1)',2154))"
)
pcurcpy.commit()
pgversioning.commit('INSERT AFTER UPDATE')
pcurcpy.close()
pcur.close()
'fs': {
'label': 'fs_fs',
'ids': ['01','02','08','11','14','24','30']
},
'oc': {
'label': 'oc_oc',
'ids': ['02','03','04','05','06']
},
'vpm': {
'label': 'vpm_vp',
'ids': ['01','02','03','04','05','06','07','09','11','12','13','14','15','16','17','18','19','20','21','22','23','24','25','26','27','31','32','33','34','35','36','37','38','39','40','41','42','43','44','45','46','49','50','51','52','53','54','55','56']
}
}
# creating/connecting the test_db
conn = db.connect(spatialite_file)
# creating a Cursor
cur = conn.cursor()
try:
print 'Dropping old table...'
cur.execute('DROP TABLE %s;' % out_table)
except:
pass
try:
cur.execute('DROP TABLE %s;' % feature_data_table)
except:
pass
def save_to_sqlite(self, source, name=None, overwrite=False):
"""Save the oat object to sqlite
Args:
source (str): the sqlite file (including path)
name (list): the sensor name to be used (it shall be unique)
"""
try:
from pyspatialite import dbapi2 as db
except ImportError:
raise ImportError('<pyspatialite> package not installed')
#connect / create the DB
con = db.connect(source)
cur = con.cursor()
if name is None:
name = self.name
#Check if DB is spatial otherwise enable it
sql = "SELECT * FROM spatial_ref_sys;"
try:
res = cur.execute(sql).fetchone()
except:
cur.execute('SELECT InitSpatialMetadata(1)')
#Check if table <freewat_sensors> already exists
sql = "SELECT * FROM freewat_sensors;"
try:
res = cur.execute(sql).fetchone()
except:
#create spatial table for SENSORS if not exists
sql = "CREATE TABLE IF NOT EXISTS freewat_sensors ("
sql += "id INTEGER NOT NULL PRIMARY KEY AUTOINCREMENT,"
sql += "name TEXT NOT NULL UNIQUE,"
sql += "desc TEXT,"
sql += "tz INTEGER,"
sql += "unit TEXT NOT NULL,"
sql += "prop TEXT NOT NULL,"
sql += "freq TEXT,"
# add time
sql += "begin_pos DATETIME,"
sql += "end_pos DATETIME,"
#add statflag and use
sql += "statflag TEXT,"
sql += "use INTEGER DEFAULT 0,"
sql += "topscreen REAL,"
sql += "bottomscreen REAL,"
sql += "altitude REAL )"
res = cur.execute(sql).fetchall()
#add geometry column
sql = "SELECT AddGeometryColumn('freewat_sensors',"
sql += "'geom', %s, 'POINT', 'XY')" % (self.srid)
res = cur.execute(sql).fetchall()
# check if altitude exists
tmp = cur.execute('PRAGMA table_info(freewat_sensors)').fetchall()
tmp_name = [i[1] for i in tmp]
if 'altitude' in tmp_name:
pass
else:
print("add missing table from save....")
cur.execute('ALTER TABLE freewat_sensors ADD COLUMN altitude REAL')
#check if sensor exists
sql = "SELECT id FROM freewat_sensors WHERE name=?;"
res_e = cur.execute(sql, (name, )).fetchall()
if res_e and overwrite:
#update sensor metadata
print("sensor exists")
sql = "UPDATE freewat_sensors"
sql += " SET name=?,desc=?,tz=?,unit=?,prop=?,freq=?, geom=%s, begin_pos=?, end_pos=?, statflag=?, use=?, topscreen=?, bottomscreen=?,"
sql += "altitude=? WHERE name=?"
geom = "GeomFromText('POINT(%s %s)',%s)" % (self.lon, self.lat,
self.srid)
params = (name, self.desc, self.tz, self.unit, self.prop,
self.freq, self.data_availability[0],
self.data_availability[1], self.statflag, self.use,
self.topscreen, self.bottomscreen, self.alt, name)
elif not res_e:
print("sensor NOT exists")
#insert sensor metadata
sql = "INSERT INTO freewat_sensors"
sql += " (name, desc, tz, unit, prop, freq, geom, begin_pos, end_pos, statflag, use, topscreen, bottomscreen, altitude)"
sql += " VALUES (?,?,?,?,?,?,%s,?,?,?,?,?,?,?)"
geom = "GeomFromText('POINT(%s %s)',%s)" % (self.lon, self.lat,
self.srid)
params = (name, self.desc, self.tz, self.unit, self.prop,
self.freq, self.data_availability[0],
self.data_availability[1], self.statflag, self.use,
self.topscreen, self.bottomscreen, self.alt)
else:
raise IOError(
"<sensor '%s' already exists> set parameter 'overwrite=True' to allow overwrite"
% name)
#print(sql, params)
cur.execute(sql % geom, params).fetchall()
if not res_e:
sql = "SELECT id FROM freewat_sensors WHERE name=?;"
res_e = cur.execute(sql, (name, )).fetchall()
# Add column use (at observation level)
if not 'use' in self.ts.columns:
self.ts['use'] = True
# add column index if doeasn't exists
if not 'obs_index' in self.ts.columns:
idx_list = []
for i in range(0, len(self.ts.index)):
idx_list.append(self.name[0:3] + '_' + str(res_e[0][0]) + '_' +
str(i + 1))
self.ts['obs_index'] = idx_list
#print (self.ts)
self.ts.to_sql(name=name, con=con, if_exists='replace')
print("table updated")
cur.close()
con.commit()
con.close()
sys.stdout.flush()
try:
optlist, args = getopt.getopt(sys.argv[1:], 'vd:f:')
# print optlist
dirname = filter(lambda item: item[0] == '-d', optlist)[0][1]
db_file = filter(lambda item: item[0] == '-f', optlist)[0][1]
except:
print 'Usage %s [-v] -d <dat_files_dir> -f <db_file>' % sys.argv[0]
exit(1)
if '-v' in map(lambda item: item[0], optlist):
print help1
conn = db.connect(db_file)
# creating a Cursor
cur = conn.cursor()
cur.execute(
'CREATE TABLE IF NOT EXISTS city(id INTEGER PRIMARY KEY AUTOINCREMENT, city_name, city_lastname, geometry, min_lng DOUBLE, min_lat DOUBLE, max_lng DOUBLE, max_lat DOUBLE, country)'
)
'''получаем список файлов с данными'''
dat_files = os.listdir(dirname)
'''перебираем файлы с данными'''
for dat_file in dat_files:
if dat_file.split('.').pop() != 'dat':
continue
try:
f = open(dirname + '/' + dat_file, 'r')
print 'Processing file: %s' % dat_file
except:
def test_export_spatialite_zz_tables(self, mock_skip_popup, mock_iface,
mock_find_layer, mock_newdbpath,
mock_verify, mock_locale,
mock_createdb_crs_question,
mock_messagebar):
mock_find_layer.return_value.crs.return_value.authid.return_value = u'EPSG:3006'
mock_createdb_crs_question.return_value = [3006, True]
dbconnection = db_utils.DbConnectionManager()
mock_newdbpath.return_value = EXPORT_DB_PATH
mock_verify.return_value = 0
"""
insert into zz_strat(geoshort,strata) values('land fill','fyll');
insert into zz_stratigraphy_plots (strata,color_mplot,hatch_mplot,color_qt,brush_qt) values('torv','DarkGray','+','darkGray','NoBrush');
insert into zz_capacity (capacity,explanation) values('6 ','mycket god');
insert into zz_capacity (capacity,explanation) values('6+','mycket god');
insert into zz_capacity_plots (capacity,color_qt) values('', 'gray');
"""
db_utils.sql_alter_db(
u'''INSERT INTO obs_points (obsid, geometry) VALUES ('P1', ST_GeomFromText('POINT(633466 711659)', 3006))''',
dbconnection=dbconnection)
dbconnection.execute(u'''PRAGMA foreign_keys='off' ''')
dbconnection.execute(
u'''UPDATE zz_strat SET strata = 'filling' WHERE geoshort = 'land fill' '''
)
dbconnection.execute(
u'''INSERT INTO zz_stratigraphy_plots (strata,color_mplot,hatch_mplot,color_qt,brush_qt) values ('filling','Yellow','+','darkGray','NoBrush') '''
)
dbconnection.execute(
u'''UPDATE zz_stratigraphy_plots SET color_mplot = 'OrangeFIX' WHERE strata = 'made ground' '''
)
dbconnection.execute(
u'''UPDATE zz_capacity SET explanation = 'anexpl' WHERE capacity = 0 '''
)
dbconnection.execute(
u'''UPDATE zz_capacity_plots SET color_qt = 'whiteFIX' WHERE capacity = 0 '''
)
dbconnection.commit_and_closedb()
mock_locale.return_value.answer = u'ok'
mock_locale.return_value.value = u'en_US'
self.midvatten.export_spatialite()
sql_list = [
u'''SELECT geoshort, strata FROM zz_strat WHERE geoshort IN ('land fill', 'rock') ''',
u'''SELECT strata, color_mplot FROM zz_stratigraphy_plots WHERE strata IN ('made ground', 'rock', 'filling') ''',
u'''SELECT capacity, explanation FROM zz_capacity WHERE capacity IN (0, 1)''',
u'''SELECT capacity, color_qt FROM zz_capacity_plots WHERE capacity IN (0, 1) '''
]
conn = sqlite.connect(EXPORT_DB_PATH,
detect_types=sqlite.PARSE_DECLTYPES
| sqlite.PARSE_COLNAMES)
curs = conn.cursor()
test_list = []
for sql in sql_list:
test_list.append('\n' + sql + '\n')
test_list.append(curs.execute(sql).fetchall())
conn.commit()
conn.close()
test_string = utils_for_tests.create_test_string(test_list)
reference_string = [
u'''[''',
u'''SELECT geoshort, strata FROM zz_strat WHERE geoshort IN ('land fill', 'rock') ''',
u''', [(land fill, filling), (rock, rock)], ''',
u'''SELECT strata, color_mplot FROM zz_stratigraphy_plots WHERE strata IN ('made ground', 'rock', 'filling') ''',
u''', [(filling, Yellow), (made ground, OrangeFIX), (rock, red)], ''',
u'''SELECT capacity, explanation FROM zz_capacity WHERE capacity IN (0, 1)''',
u''', [(0, anexpl), (1, above gwl)], ''',
u'''SELECT capacity, color_qt FROM zz_capacity_plots WHERE capacity IN (0, 1) ''',
u''', [(0, whiteFIX), (1, red)]]'''
]
reference_string = u'\n'.join(reference_string)
assert test_string == reference_string
def test(host, pguser):
pg_conn_info = "dbname=epanet_test_db host=" + host + " user="******"dropdb --if-exists -h " + host + " -U "+pguser+" epanet_test_db")
os.system("createdb -h " + host + " -U "+pguser+" epanet_test_db")
os.system("psql -h " + host + " -U "+pguser+" epanet_test_db -c 'CREATE EXTENSION postgis'")
os.system("psql -h " + host + " -U "+pguser+" epanet_test_db -f "+test_data_dir+"/epanet_test_db.sql")
# try the update
wc = [os.path.join(tmp_dir,"issue437_wc0.sqlite"), os.path.join(tmp_dir,"issue437_wc1.sqlite")]
spversioning0 = versioning.spatialite(wc[0], pg_conn_info)
spversioning1 = versioning.spatialite(wc[1], pg_conn_info)
for i, f in enumerate(wc):
if os.path.isfile(f): os.remove(f)
sp = spversioning0 if i == 0 else spversioning1
sp.checkout(['epanet_trunk_rev_head.junctions', 'epanet_trunk_rev_head.pipes'])
scur = []
for f in wc: scur.append(versioning.Db( dbapi2.connect( f ) ))
scur[0].execute("INSERT INTO pipes_view(id, start_node, end_node, GEOMETRY) VALUES ('2','1','2',GeomFromText('LINESTRING(1 1,0 1)',2154))")
scur[0].execute("INSERT INTO pipes_view(id, start_node, end_node, GEOMETRY) VALUES ('3','1','2',GeomFromText('LINESTRING(1 -1,0 1)',2154))")
scur[0].commit()
spversioning0.commit( 'commit 1 wc0')
spversioning1.update( )
scur[0].execute("UPDATE pipes_view SET length = 1")
scur[0].commit()
scur[1].execute("UPDATE pipes_view SET length = 2")
scur[1].execute("UPDATE pipes_view SET length = 3")
scur[1].commit()
spversioning0.commit( "commit 2 wc0" )
scur[0].execute("SELECT OGC_FID,length,trunk_rev_begin,trunk_rev_end,trunk_parent,trunk_child FROM pipes")
print '################'
for r in scur[0].fetchall():
print r
scur[0].execute("UPDATE pipes_view SET length = 2")
scur[0].execute("DELETE FROM pipes_view WHERE OGC_FID = 6")
scur[0].commit()
spversioning0.commit( "commit 3 wc0" )
scur[0].execute("SELECT OGC_FID,length,trunk_rev_begin,trunk_rev_end,trunk_parent,trunk_child FROM pipes")
print '################'
for r in scur[0].fetchall():
print r
spversioning1.update( )
scur[1].execute("SELECT OGC_FID,length,trunk_rev_begin,trunk_rev_end,trunk_parent,trunk_child FROM pipes_diff")
print '################ diff'
for r in scur[1].fetchall():
print r
scur[1].execute("SELECT conflict_id FROM pipes_conflicts")
assert( len(scur[1].fetchall()) == 6 ) # there must be conflicts
scur[1].execute("SELECT conflict_id,origin,action,OGC_FID,trunk_parent,trunk_child FROM pipes_conflicts")
print '################'
for r in scur[1].fetchall():
print r
scur[1].execute("DELETE FROM pipes_conflicts WHERE origin='theirs' AND conflict_id=1")
scur[1].commit()
scur[1].execute("SELECT conflict_id FROM pipes_conflicts")
assert( len(scur[1].fetchall()) == 4 ) # there must be two removed entries
scur[1].execute("SELECT conflict_id,origin,action,OGC_FID,trunk_parent,trunk_child FROM pipes_conflicts")
print '################'
for r in scur[1].fetchall():
print r
scur[1].execute("DELETE FROM pipes_conflicts WHERE origin='mine' AND OGC_FID = 11")
scur[1].execute("DELETE FROM pipes_conflicts WHERE origin='theirs'")
scur[1].commit()
scur[1].execute("SELECT conflict_id FROM pipes_conflicts")
assert( len(scur[1].fetchall()) == 0 ) # there must be no conflict
scur[1].execute("SELECT OGC_FID,length,trunk_rev_begin,trunk_rev_end,trunk_parent,trunk_child FROM pipes")
print '################'
for r in scur[1].fetchall():
print r
def setUpClass(cls):
"""Run before all tests"""
# setup provider for base tests
cls.vl = QgsVectorLayer(
'dbname=\'{}/provider/spatialite.db\' table="somedata" (geom) sql='
.format(TEST_DATA_DIR), 'test', 'spatialite')
assert (cls.vl.isValid())
cls.provider = cls.vl.dataProvider()
cls.vl_poly = QgsVectorLayer(
'dbname=\'{}/provider/spatialite.db\' table="somepolydata" (geom) sql='
.format(TEST_DATA_DIR), 'test', 'spatialite')
assert (cls.vl_poly.isValid())
cls.poly_provider = cls.vl_poly.dataProvider()
# create test db
cls.dbname = os.path.join(tempfile.gettempdir(), "test.sqlite")
if os.path.exists(cls.dbname):
os.remove(cls.dbname)
con = sqlite3.connect(cls.dbname, isolation_level=None)
cur = con.cursor()
cur.execute("BEGIN")
sql = "SELECT InitSpatialMetadata()"
cur.execute(sql)
# simple table with primary key
sql = "CREATE TABLE test_pg (id INTEGER NOT NULL PRIMARY KEY, name TEXT NOT NULL)"
cur.execute(sql)
sql = "SELECT AddGeometryColumn('test_pg', 'geometry', 4326, 'POLYGON', 'XY')"
cur.execute(sql)
sql = "INSERT INTO test_pg (id, name, geometry) "
sql += "VALUES (1, 'toto', GeomFromText('POLYGON((0 0,1 0,1 1,0 1,0 0))', 4326))"
cur.execute(sql)
# table with multiple column primary key
sql = "CREATE TABLE test_pg_mk (id INTEGER NOT NULL, name TEXT NOT NULL, PRIMARY KEY(id,name))"
cur.execute(sql)
sql = "SELECT AddGeometryColumn('test_pg_mk', 'geometry', 4326, 'POLYGON', 'XY')"
cur.execute(sql)
sql = "INSERT INTO test_pg_mk (id, name, geometry) "
sql += "VALUES (1, 'toto', GeomFromText('POLYGON((0 0,1 0,1 1,0 1,0 0))', 4326))"
cur.execute(sql)
# simple table with primary key
sql = "CREATE TABLE test_q (id INTEGER NOT NULL PRIMARY KEY, name TEXT NOT NULL)"
cur.execute(sql)
sql = "SELECT AddGeometryColumn('test_q', 'geometry', 4326, 'POLYGON', 'XY')"
cur.execute(sql)
sql = "INSERT INTO test_q (id, name, geometry) "
sql += "VALUES (11, 'toto', GeomFromText('POLYGON((0 0,1 0,1 1,0 1,0 0))', 4326))"
cur.execute(sql)
sql = "INSERT INTO test_q (id, name, geometry) "
sql += "VALUES (21, 'toto', GeomFromText('POLYGON((0 0,1 0,1 1,0 1,0 0))', 4326))"
cur.execute(sql)
# simple table with a geometry column named 'Geometry'
sql = "CREATE TABLE test_n (Id INTEGER NOT NULL PRIMARY KEY, name TEXT NOT NULL)"
cur.execute(sql)
sql = "SELECT AddGeometryColumn('test_n', 'Geometry', 4326, 'POLYGON', 'XY')"
cur.execute(sql)
sql = "INSERT INTO test_n (id, name, geometry) "
sql += "VALUES (1, 'toto', GeomFromText('POLYGON((0 0,1 0,1 1,0 1,0 0))', 4326))"
cur.execute(sql)
sql = "INSERT INTO test_n (id, name, geometry) "
sql += "VALUES (2, 'toto', GeomFromText('POLYGON((0 0,1 0,1 1,0 1,0 0))', 4326))"
cur.execute(sql)
cur.execute("COMMIT")
con.close()
def test_export_spatialite_transform_coordinates(
self, mock_skip_popup, mock_iface, mock_find_layer, mock_newdbpath,
mock_verify, mock_locale, mock_createdb_crs_question,
mock_messagebar):
mock_find_layer.return_value.crs.return_value.authid.return_value = u'EPSG:3006'
mock_createdb_crs_question.return_value = [3010, True]
mock_newdbpath.return_value = EXPORT_DB_PATH
mock_verify.return_value = 0
db_utils.sql_alter_db(
u'''INSERT INTO obs_points (obsid, geometry) VALUES ('P1', ST_GeomFromText('POINT(1 1)', 3006))'''
)
db_utils.sql_alter_db(
u'''INSERT INTO zz_staff (staff) VALUES ('s1')''')
db_utils.sql_alter_db(
u'''INSERT INTO comments (obsid, date_time, staff, comment) VALUES ('P1', '2015-01-01 00:00:00', 's1', 'comment1')'''
)
db_utils.sql_alter_db(
u'''INSERT INTO w_qual_lab (obsid, parameter, report, staff) VALUES ('P1', 'labpar1', 'report1', 's1')'''
)
db_utils.sql_alter_db(
u'''INSERT INTO w_qual_field (obsid, parameter, staff, date_time, unit) VALUES ('P1', 'par1', 's1', '2015-01-01 01:00:00', 'unit1')'''
)
db_utils.sql_alter_db(
u'''INSERT INTO w_flow (obsid, instrumentid, flowtype, date_time, unit) VALUES ('P1', 'inst1', 'Momflow', '2015-04-13 00:00:00', 'l/s')'''
)
db_utils.sql_alter_db(
u'''INSERT INTO w_levels (obsid, date_time, meas) VALUES ('P1', '2015-01-02 00:00:01', '2')'''
)
db_utils.sql_alter_db(
u'''INSERT INTO stratigraphy (obsid, stratid) VALUES ('P1', 1)''')
db_utils.sql_alter_db(
u'''INSERT INTO obs_lines (obsid) VALUES ('L1')''')
db_utils.sql_alter_db(
u'''INSERT INTO seismic_data (obsid, length) VALUES ('L1', '5')''')
db_utils.sql_alter_db(
u'''INSERT INTO meteo (obsid, instrumentid, parameter, date_time) VALUES ('P1', 'meteoinst', 'precip', '2017-01-01 00:19:00')'''
)
mock_locale.return_value.answer = u'ok'
mock_locale.return_value.value = u'sv_SE'
self.midvatten.export_spatialite()
sql_list = [
u'''select obsid, ST_AsText(geometry) from obs_points''',
u'''select staff from zz_staff''',
u'''select obsid, date_time, staff, comment from comments''',
u'''select obsid, parameter, report, staff from w_qual_lab''',
u'''select obsid, parameter, staff, date_time, comment from w_qual_field''',
u'''select obsid, instrumentid, flowtype, date_time, unit from w_flow''',
u'''select obsid, date_time, meas from w_levels''',
u'''select obsid, stratid from stratigraphy''',
u'''select obsid from obs_lines''',
u'''select obsid, length from seismic_data''',
u'''select obsid, instrumentid, parameter, date_time from meteo'''
]
conn = sqlite.connect(EXPORT_DB_PATH,
detect_types=sqlite.PARSE_DECLTYPES
| sqlite.PARSE_COLNAMES)
curs = conn.cursor()
test_list = []
for sql in sql_list:
test_list.append('\n' + sql + '\n')
test_list.append(curs.execute(sql).fetchall())
conn.commit()
conn.close()
test_string = utils_for_tests.create_test_string(test_list)
reference_string = [
u'''[''', u'''select obsid, ST_AsText(geometry) from obs_points''',
u''', [(P1, POINT(-517888.383773 1.002821))], ''',
u'''select staff from zz_staff''', u''', [(s1)], ''',
u'''select obsid, date_time, staff, comment from comments''',
u''', [(P1, 2015-01-01 00:00:00, s1, comment1)], ''',
u'''select obsid, parameter, report, staff from w_qual_lab''',
u''', [(P1, labpar1, report1, s1)], ''',
u'''select obsid, parameter, staff, date_time, comment from w_qual_field''',
u''', [(P1, par1, s1, 2015-01-01 01:00:00, None)], ''',
u'''select obsid, instrumentid, flowtype, date_time, unit from w_flow''',
u''', [(P1, inst1, Momflow, 2015-04-13 00:00:00, l/s)], ''',
u'''select obsid, date_time, meas from w_levels''',
u''', [(P1, 2015-01-02 00:00:01, 2.0)], ''',
u'''select obsid, stratid from stratigraphy''',
u''', [(P1, 1)], ''', u'''select obsid from obs_lines''',
u''', [(L1)], ''', u'''select obsid, length from seismic_data''',
u''', [(L1, 5.0)], ''',
u'''select obsid, instrumentid, parameter, date_time from meteo''',
u''', [(P1, meteoinst, precip, 2017-01-01 00:19:00)]]'''
]
reference_string = u'\n'.join(reference_string)
assert test_string == reference_string
def setUp(self):
self.con = sqlite.connect(":memory:", factory=MyConnection)
def processSpatial():
# DB Connection
conn = db.connect('C:/Temp/Prioritization/Prior.sqlite')
# creating a Cursor
cur = conn.cursor()
# Run both buffering functions if they don't already exist
if (u'proj10', ) in cur.execute(
"SELECT name FROM sqlite_master WHERE type='table' AND name='proj10'"
):
pass
else:
buffproj10(cur)
if (u'proj1320', ) in cur.execute(
"SELECT name FROM sqlite_master WHERE type='table' AND name='proj1320'"
):
pass
else:
buffproj1320(cur)
if (u'proj5280', ) in cur.execute(
"SELECT name FROM sqlite_master WHERE type='table' AND name='proj5280'"
):
pass
else:
buffproj5280(cur)
# Stuff a dictionary with our results. The key is the question ID.
results = {}
# 98 - Air quality: is the project on a freight route?
print("Processing 98")
results['98'] = multiOrSect(cur, "proj10", "truck_bottlenecks_20120620",
"t1t2")
# 111 - Air quality: is the project within 1/4 mi buffer of schools?
print("Processing 111")
results['111'] = multiOrSect(cur, "proj1320", "school_location2")
# 69 - Is the project on an identified truck bottleneck?
print("Processing 69")
results['69'] = multiOrSect(cur, "proj10", "truck_bottlenecks_20120620")
# 72 - Is the project in an MIC? Does it connect two MICs or a MIC and an RGC?
# NOTE: The first condition supercedes the remainder. Suspect this isn't what is wanted
print("Processing 72")
results['72'] = multiOrSect(cur, "proj10", "micto_urbcen_micnet3")
# 73 - Is the project in an MIC?
# NOTE: This and 72 are dupes
print("Processing 73")
results['73'] = multiOrSect(cur, "proj10", "micen")
# 74 - Is the project within a TAZ identified as a freight generator
print("Processing 74")
results['74'] = multiOrSect(cur, "proj10", "freight_gen_taz2010")
# 114 - Is the project on a T1/T2 route
print("Processing 114")
results['114'] = multiOrSect(cur, "proj10", "t1t2")
# 66 - Within identified areas (18 jobs/acre density AND zoning)
print("Processing 66")
results['66'] = multiAndSect(cur, "proj10", "flu_jobs_32_lyr")
# 67 - Within identified areas (18 jobs/acre density)
print("Processing 67")
results['67'] = multiOrSect(cur, "proj10", "all_jobs_18_lyr")
# 68 - Within identified areas (15 jobs/acre density; cluster employment)
print("Processing 68")
results['68'] = multiOrSect(cur, "proj10", "cluster_15_lyr")
# 106 - Within identified areas (15 jobs/acre density; family-wage)
print("Processing 106")
results['106'] = multiOrSect(cur, "proj10", "fmlywg_15_lyr")
# 107 - Within some reasonable distance (1/4mi?) from identified economic foundation points
print("Processing 107")
results['107'] = multiOrSect(cur, "proj1320", "economic_foundations")
# 116 - On the regional bicycle network
print("Processing 116")
results['116'] = multiOrSect(cur, "proj1320", "regional_bicycle_network")
# 120 - Within 1/4mi of MTS transit stops
print("Processing 120")
results['120'] = multiOrSect(cur, "proj1320", "regional_transit")
# 101 - Project is in a critical area
print("Processing 101")
results['101'] = notProj(
cur, multiOrSect(cur, "proj10", "caoall", "priority_hab"))
# 122 - Project is within identified resource lands
results['122'] = multiOrSect(cur, "proj10", "reszone08_region")
# 89 - On a facility with fatality, injury, or property damage incidents
print("Processing 89")
results['89'] = multiOrSect(cur, "proj10", "all_collisions")
# 141 - On security recovery annex facility
print("Processing 141")
results['141'] = multiOrSect(cur, "proj10", "security")
# 93 - In special needs area (NOTE: need guidance)
print("Processing 93")
results['93'] = multiOrSect(cur, "proj10", "all_four")
# 150 - Connects area of low and very low to high or very high opp index
print("Processing 150")
results['150'] = multiOrSect(cur, "proj10", "low_to_highOP_net")
# 151 - Connects to an area of low or very low
print("Processing 151")
results['151'] = multiOrSect(cur, "proj10", "low_verylow")
# 152 - Connects to an area of high or very high
print("Processing 152")
results['152'] = multiOrSect(cur, "proj10", "high_veryhigh_opp")
# 59 - Within an RGC
print("Processing 59")
results['59'] = multiOrSect(cur, "proj10", "urbcen")
# 60 - Connect an RGC to RGC or MIC
print("Processing 60")
results['61'] = multiOrSect(cur, "proj10", "regcenToRegCenMICs_Net2")
# 61 - Connect to RGC (1 mi)
print("Processing 61")
results['61'] = multiOrSect(cur, "proj5280", "urbcen")
# 62 - In an area with housing density > 15
print("Processing 62")
results['62'] = multiOrSect(cur, "proj10", "housing_density_15_plus")
# 63 - In an area with housing density > 8
print("Processing 63")
results['63'] = multiOrSect(cur, "proj10", "housing_density_8_to_15")
# 75 - On an identified facility (bottleneck, chokepoint, congestion, etc.
print("Processing 75")
results['75'] = multiOrSect(cur, "proj10", "chokepoints_and_bottlenecks",
"congested_transit_corridors",
"its_key_arterial_corridors")
return (results)