def main():
thislocation = os.path.dirname(os.path.realpath(__file__))
if args.jobfile:
jobfile = os.path.join(thislocation, "testjobs", args.jobfile)
print(jobfile)
with open(jobfile) as fp:
job = fp.read()
job = jobimport.convert(job,
tolerance=float(args.tolerance),
optimize=not (args.nooptimize))
# stats
total_points = 0
for path in job['vector']['paths']:
for polyline in path:
for point in polyline:
total_points += 1
print("STATS:")
print("\ttotal points: %s" % total_points)
if 'vector' in job and 'optimized' in job['vector']:
print("\ttolerance: %s" % job['vector']['optimized'])
else:
jobpath = os.path.join(thislocation, "testjobs")
cwd_temp = os.getcwd()
os.chdir(jobpath)
files = glob.glob("*.*")
os.chdir(cwd_temp)
print("Name one of the following files:")
for file_ in files:
print(file_)
def main():
thislocation = os.path.dirname(os.path.realpath(__file__))
if args.jobfile:
jobfile = os.path.join(thislocation, "testjobs", args.jobfile)
print jobfile
with open(jobfile) as fp:
job = fp.read()
job = jobimport.convert(job, tolerance=float(args.tolerance),
optimize=not(args.nooptimize))
# stats
total_points = 0
for path in job['vector']['paths']:
for polyline in path:
for point in polyline:
total_points += 1
print "STATS:"
print "\ttotal points: %s" % total_points
if 'vector' in job and 'optimized' in job['vector']:
print "\ttolerance: %s" % job['vector']['optimized']
else:
jobpath = os.path.join(thislocation, "testjobs")
cwd_temp = os.getcwd()
os.chdir(jobpath)
files = glob.glob("*.*")
os.chdir(cwd_temp)
print "Name one of the following files:"
for file_ in files:
print file_
def open_file(self, jobfile, optimize=True, tolerance=None):
"""Load and convert a job file locally.
Args:
jobfile: Path to job file (dba, svg, dxf, or ngc).
optimize: Flag for optimizing path tolerances.
tolerance: Tolerance used in convert/optimization.
Returns:
A parsed .dba job.
"""
import jobimport # dependancy only when actually needed
name_f = os.path.basename(jobfile)
with open(jobfile) as fp:
job = fp.read()
name_f, ext = os.path.splitext(name_f)
if tolerance:
job = jobimport.convert(job, optimize=optimize, tolerance=tolerance)
else:
job = jobimport.convert(job, optimize=optimize)
return job
def open_file(self, jobfile, optimize=True, tolerance=None):
"""Load and convert a job file locally.
Args:
jobfile: Path to job file (dba, svg, dxf, or ngc).
optimize: Flag for optimizing path tolerances.
tolerance: Tolerance used in convert/optimization.
Returns:
A parsed .dba job.
"""
import jobimport # dependancy only when actually needed
name_f = os.path.basename(jobfile)
with open(jobfile) as fp:
job = fp.read()
name_f, ext = os.path.splitext(name_f)
if tolerance:
job = jobimport.convert(job,
optimize=optimize,
tolerance=tolerance)
else:
job = jobimport.convert(job, optimize=optimize)
return job
def load():
"""Load a dba, svg, dxf, or gcode job.
Args:
(Args come in through the POST request.)
job: Parsed dba or job string (dba, svg, dxf, or gcode).
name: name of the job (string)
optimize: flag whether to optimize (bool)
overwrite: flag whether to overwite file if present (bool)
matrix: alignment matrix to apply to dba (3x3 list of lists of float)
"""
load_request = json.loads(bottle.request.forms.get('load_request'))
job = load_request.get('job') # always a string
if job == 'upload': # data was passed as gzip file upload
upload = bottle.request.files.get('job', None)
job = gzip.GzipFile(fileobj=upload.file, mode='rb').read()
name = load_request.get('name')
# optimize defaults
if 'optimize' in load_request:
optimize = load_request['optimize']
else:
optimize = True
# overwrite defaults
if 'overwrite' in load_request:
overwrite = load_request['overwrite']
else:
overwrite = False
# alignment matrix
if 'matrix' in load_request:
matrix = load_request['matrix']
else:
matrix = None
# sanity check
if job is None or name is None:
bottle.abort(400, "Invalid request data.")
# convert
try:
job = jobimport.convert(job, optimize=optimize, matrix=matrix)
except TypeError:
if DEBUG: traceback.print_exc()
bottle.abort(400, "Invalid file type.")
if not overwrite:
name = _unique_name(name)
_add(json.dumps(job), name)
return json.dumps(name)
def load():
"""Load a dba, svg, dxf, or gcode job.
Args:
(Args come in through the POST request.)
job: Parsed dba or job string (dba, svg, dxf, or gcode).
name: name of the job (string)
optimize: flag whether to optimize (bool)
overwrite: flag whether to overwite file if present (bool)
"""
load_request = json.loads(bottle.request.forms.get('load_request'))
job = load_request.get('job') # always a string
if job == 'upload': # data was passed as gzip file upload
upload = bottle.request.files.get('job', None)
job = gzip.GzipFile(fileobj=upload.file, mode='rb').read()
name = load_request.get('name')
# optimize defaults
if 'optimize' in load_request:
optimize = load_request['optimize']
else:
optimize = True
# overwrite defaults
if 'overwrite' in load_request:
overwrite = load_request['overwrite']
else:
overwrite = False
# sanity check
if job is None or name is None:
bottle.abort(400, "Invalid request data.")
# convert
try:
job = jobimport.convert(job, optimize=optimize)
except TypeError:
if DEBUG: traceback.print_exc()
bottle.abort(400, "Invalid file type.")
if not overwrite:
name = _unique_name(name)
_add(json.dumps(job), name)
return json.dumps(name)
def load():
"""Load a dba, svg, dxf, or gcode job.
Args:
(Args come in through the POST request.)
job: Parsed dba or job string (dba, svg, dxf, or ngc).
name: name of the job (string)
optimize: flag whether to optimize (bool)
overwrite: flag whether to overwite file if present (bool)
"""
load_request = json.loads(bottle.request.forms.get('load_request'))
job = load_request.get('job') # always a string
name = load_request.get('name')
# optimize defaults
if 'optimize' in load_request:
optimize = load_request['optimize']
else:
optimize = True
# overwrite defaults
if 'overwrite' in load_request:
overwrite = load_request['overwrite']
else:
overwrite = False
# sanity check
if job is None or name is None:
bottle.abort(400, "Invalid request data.")
# convert
try:
job = jobimport.convert(job, optimize=optimize)
except TypeError:
if DEBUG: traceback.print_exc()
bottle.abort(400, "Invalid file type.")
if not overwrite:
name = _unique_name(name)
_add(json.dumps(job), name)
return json.dumps(name)
argparser.add_argument('-a', '--animate', dest='animate', action='store_true',
default=False, help='animate job')
argparser.add_argument('-f', '--fast', dest='fast', action='store_true',
default=False, help='animate fast')
argparser.add_argument('-n', '--nooptimize', dest='nooptimize', action='store_true',
default=False, help='do not optimize geometry')
argparser.add_argument('-t', '--tolerance', dest='tolerance',
default=0.08, help='tolerance in mm')
args = argparser.parse_args()
thislocation = os.path.dirname(os.path.realpath(__file__))
if args.jobfile:
jobfile = os.path.join(thislocation, "testjobs", args.jobfile)
with open(jobfile) as fp:
job = fp.read()
job = jobimport.convert(job, tolerance=float(args.tolerance),
optimize=not(args.nooptimize))
# stats
total_points = 0
for path in job['vector']['paths']:
for polyline in path:
for point in polyline:
total_points += 1
print("STATS:")
print("\ttotal points: %s" % total_points)
if 'vector' in job and 'optimized' in job['vector']:
print("\ttolerance: %s" % job['vector']['optimized'])
# run gtk window
PyApp()
gtk.main()