def submitnewtask():
left = request.args.get('left', type=float)
bottom = request.args.get('bottom', type=float)
right = request.args.get('right', type=float)
top = request.args.get('top', type=float)
email = request.args.get('email', type=str)
classification = request.args.get('classification', type=str)
# email validation
if not re.match(r"[^@]+@[^@]+\.[^@]+", email):
return jsonify(wronginput = "Invalid email address")
# classification validation
if not re.match(r"^(?=\w{1,2}$)([ug]).*", classification):
return jsonify(wronginput = "Wrong AHN2 classification")
# selection bounds validation
ewkt = get_ewkt_from_bounds(left, bottom, right, top)
if 0 == db_session.query(Tile).filter( Tile.geom.intersects( ewkt ) ).count():
return jsonify(wronginput = "Selection is empty")
if not request.remote_addr in app.config['TRUSTED_IP_ADDRESSES'] and get_point_count_estimate_from_ewkt(ewkt) > app.config['MAX_POINT_QUERY_SIZE']:
return jsonify(wronginput = "At this time we don't accept requests larger than {} points. Draw a smaller selection to continue.".format(format_big_number(app.config['MAX_POINT_QUERY_SIZE'])))
# new celery task
result = new_task.apply_async((left, bottom, right, top, classification))
# store task parameters in db
task = Task(id=result.id, ahn2_class=classification, emailto=email, geom=get_ewkt_from_bounds(left, bottom, right, top),\
time_stamp=datetime.datetime.now(), ip_address=request.remote_addr )
db_session.add(task)
db_session.commit()
taskurl = url_for('tasks_page', task_id=result.id)
return jsonify(result = taskurl)
def new_task(left, bottom, right, top, ahn2_class):
if ahn2_class == 'ug': ahn2_class = 'u|g'
ewkt = get_ewkt_from_bounds(left, bottom, right, top)
# geojson = get_geojson_from_bounds(left, bottom, right, top)
filenames = db_session.query(Tile.path).filter(Tile.ahn2_class.match(ahn2_class)).filter(Tile.geom.intersects(ewkt)).all()
filenames = [f[0] for f in filenames]
output_laz = app.config['RESULTS_FOLDER'] + str(new_task.request.id)+'.laz'
# this will cause an exception if something goes wrong while calling lasmerge executable
t0 = time.time()
lastools.lasmerge(filenames, left, bottom, right, top, output_laz)
t1 = time.time()
t = db_session.query(Task).filter(Task.id==str(new_task.request.id)).one()
try:
t.send_email()
except:
pass
infotxt = lastools.lasinfotxt(output_laz)
info = tile_io.read_lasinfotxt(infotxt)
t.log_execution_time = t1-t0
t.log_actual_point_count = info['pointcount']
db_session.commit()
def load_tiles_into_db(dataset, glob_expression, bounds=None):
tile_files = glob.glob(glob_expression)
tiles = []
for tile_file in tile_files:
t = get_tile_from_file(tile_file, bounds)
t.dataset = dataset
tiles.append(t)
db_session.add_all(tiles)
db_session.commit()
def submitnewtask():
left = request.args.get('left', type=float)
bottom = request.args.get('bottom', type=float)
right = request.args.get('right', type=float)
top = request.args.get('top', type=float)
email = request.args.get('email', type=str)
classification = request.args.get('classification', type=str)
dataset_id = request.args.get('dataset_id', type=int)
# email validation
if not re.match(r"[^@]+@[^@]+\.[^@]+", email):
return jsonify(wronginput="Invalid email address")
# classification validation
if not re.match(r"^([1-9][0-9]?)(,[1-9][0-9]?)*$", classification):
return jsonify(wronginput="Invalid classification string")
classification = classification.split(',')
# dataset validation
dataset = Dataset.query.get(dataset_id)
if dataset is None:
return jsonify(wronginput="Invalid dataset name")
# selection bounds validation
ewkt = get_ewkt_from_bounds(left, bottom, right, top)
if 0 == db_session.query(Tile).filter(Tile.geom.intersects(ewkt)).count():
return jsonify(wronginput="Selection is empty")
if not request.remote_addr in app.config[
'TRUSTED_IP_ADDRESSES'] and get_point_count_estimate_from_ewkt(
dataset, ewkt) > app.config['MAX_POINT_QUERY_SIZE']:
return jsonify(
wronginput=
"At this time we don't accept requests larger than {} points. Draw a smaller selection to continue."
.format(format_big_number(app.config['MAX_POINT_QUERY_SIZE'])))
# new celery task
result = new_task.apply_async(
(left, bottom, right, top, dataset_id, classification))
# store task parameters in db
task = Task(id=result.id, dataset=dataset, classes=classification, emailto=email, geom=get_ewkt_from_bounds(left, bottom, right, top),\
time_stamp=datetime.datetime.now(), ip_address=request.remote_addr )
db_session.add(task)
db_session.commit()
taskurl = url_for('tasks_page', task_id=result.id)
return jsonify(result=taskurl)