def __init__(self, ctx):
super(Mapper, self).__init__(ctx)
self.img_set = []
self.cwd = os.getcwd()
self.pipeline_filename = ctx.job_conf.get(PIPELINE_BN)
cp_start_vm()
self.ctx = ctx
def __init__(self, ctx):
super(Mapper, self).__init__(ctx)
self.img_set = []
self.cwd = os.getcwd()
self.pipeline_filename = ctx.job_conf.get(PIPELINE_BN)
cp_start_vm()
self.ctx = ctx
def main():
#
# For OS/X set up the UI elements that users expect from
# an app.
#
if sys.platform == "darwin":
import os.path
icon_path = pkg_resources.resource_filename(
"cellprofiler", os.path.join("data", "icons", "CellProfiler.png"))
os.environ["APP_NAME_%d" % os.getpid()] = "CellProfilerWorker"
os.environ["APP_ICON_%d" % os.getpid()] = icon_path
# Start the JVM
from cellprofiler.utilities.cpjvm import cp_start_vm, cp_stop_vm
cp_start_vm()
deadman_start_socket = the_zmq_context.socket(zmq.PAIR)
deadman_start_socket.bind(DEADMAN_START_ADDR)
# Start the deadman switch thread.
start_daemon_thread(target=exit_on_stdin_close, name="exit_on_stdin_close")
deadman_start_socket.recv()
deadman_start_socket.close()
from cellprofiler.knime_bridge import KnimeBridgeServer
with AnalysisWorker(work_announce_address) as worker:
worker_thread = threading.Thread(target=worker.run,
name="WorkerThread")
worker_thread.setDaemon(True)
worker_thread.start()
with KnimeBridgeServer(the_zmq_context, knime_bridge_address,
NOTIFY_ADDR, NOTIFY_STOP):
worker_thread.join()
#
# Shutdown - need to handle some global cleanup here
#
try:
cp_stop_vm()
except:
logger.warn("Failed to stop the JVM", exc_info=1)
def main():
#
# For OS/X set up the UI elements that users expect from
# an app.
#
if sys.platform == "darwin":
from cellprofiler.icons import get_builtin_images_path
import os.path
icon_path = pkg_resources.resource_filename("cellprofiler", os.path.join("data", "icons", "CellProfiler.png"))
os.environ["APP_NAME_%d" % os.getpid()] = "CellProfilerWorker"
os.environ["APP_ICON_%d" % os.getpid()] = icon_path
# Start the JVM
from cellprofiler.utilities.cpjvm import cp_start_vm, cp_stop_vm
cp_start_vm()
deadman_start_socket = the_zmq_context.socket(zmq.PAIR)
deadman_start_socket.bind(DEADMAN_START_ADDR)
# Start the deadman switch thread.
start_daemon_thread(target=exit_on_stdin_close,
name="exit_on_stdin_close")
deadman_start_socket.recv()
deadman_start_socket.close()
from cellprofiler.knime_bridge import KnimeBridgeServer
with AnalysisWorker(work_announce_address) as worker:
worker_thread = threading.Thread(target=worker.run,
name="WorkerThread")
worker_thread.setDaemon(True)
worker_thread.start()
with KnimeBridgeServer(the_zmq_context,
knime_bridge_address,
NOTIFY_ADDR, NOTIFY_STOP):
worker_thread.join()
#
# Shutdown - need to handle some global cleanup here
#
try:
cp_stop_vm()
except:
logger.warn("Failed to stop the JVM", exc_info=1)
def main(args=None):
'''Run CellProfiler
args - command-line arguments, e.g. sys.argv
'''
if args is None:
args = sys.argv
import cellprofiler.preferences as cpprefs
cpprefs.set_awt_headless(True)
exit_code = 0
switches = ('--work-announce', '--knime-bridge-address')
if any(
[any([arg.startswith(switch) for switch in switches])
for arg in args]):
#
# Go headless ASAP
#
cpprefs.set_headless()
for i, arg in enumerate(args):
if arg == "--ij-plugins-directory" and len(args) > i + 1:
cpprefs.set_ij_plugin_directory(args[i + 1])
break
import cellprofiler.worker
cellprofiler.worker.aw_parse_args()
cellprofiler.worker.main()
sys.exit(exit_code)
options, args = parse_args(args)
if options.print_version:
from cellprofiler.utilities.version import \
dotted_version, version_string, git_hash, version_number
print "CellProfiler %s" % dotted_version
print "Git %s" % git_hash
print "Version %s" % version_number
print "Built %s" % version_string.split(" ")[0]
sys.exit(exit_code)
#
# Important to go headless ASAP
#
if (not options.show_gui) or options.write_schema_and_exit:
import cellprofiler.preferences as cpprefs
cpprefs.set_headless()
# What's there to do but run if you're running headless?
# Might want to change later if there's some headless setup
options.run_pipeline = True
if options.jvm_heap_size is not None:
from cellprofiler.preferences import set_jvm_heap_mb
set_jvm_heap_mb(options.jvm_heap_size, False)
set_log_level(options)
if options.print_groups_file is not None:
print_groups(options.print_groups_file)
return
if options.batch_commands_file is not None:
get_batch_commands(options.batch_commands_file)
return
if options.add_message_for_user:
if len(args) != 3:
sys.stderr.write("Usage: (for add_message-for-user)\n")
sys.stderr.write(
"CellProfiler --add-message-for-user <caption> <message> <pipeline-or-project>\n"
)
sys.stderr.write("where:\n")
sys.stderr.write(" <caption> - the message box caption\n")
sys.stderr.write(
" <message> - the message displayed inside the message box\n"
)
sys.stderr.write(
" <pipeline-or-project> - the path to the pipeline or project file to modify\n"
)
return
caption = args[0]
message = args[1]
path = args[2]
import h5py
using_hdf5 = h5py.is_hdf5(path)
if using_hdf5:
import cellprofiler.measurement as cpmeas
m = cpmeas.Measurements(filename=path, mode="r+")
pipeline_text = m[cpmeas.EXPERIMENT, "Pipeline_Pipeline"]
else:
with open(path, "r") as fd:
pipeline_text = fd.read()
header, body = pipeline_text.split("\n\n", 1)
pipeline_text = header + \
("\nMessageForUser:%s|%s\n\n" % (caption, message)) + body
if using_hdf5:
m[cpmeas.EXPERIMENT, "Pipeline_Pipeline"] = pipeline_text
m.close()
else:
with open(path, "w") as fd:
fd.write(pipeline_text)
print "Message added to %s" % path
return
# necessary to prevent matplotlib trying to use Tkinter as its backend.
# has to be done before CellProfilerApp is imported
from matplotlib import use as mpluse
mpluse('WXAgg')
if options.omero_credentials is not None:
set_omero_credentials_from_string(options.omero_credentials)
if options.plugins_directory is not None:
cpprefs.set_plugin_directory(options.plugins_directory, globally=False)
if options.ij_plugins_directory is not None:
cpprefs.set_ij_plugin_directory(options.ij_plugins_directory,
globally=False)
if options.temp_dir is not None:
if not os.path.exists(options.temp_dir):
os.makedirs(options.temp_dir)
cpprefs.set_temporary_directory(options.temp_dir, globally=False)
if not options.allow_schema_write:
cpprefs.set_allow_schema_write(False)
#
# After the crucial preferences are established, we can start the VM
#
from cellprofiler.utilities.cpjvm import cp_start_vm
cp_start_vm()
#
# Not so crucial preferences...
#
if options.image_set_file is not None:
cpprefs.set_image_set_file(options.image_set_file)
try:
# ---------------------------------------
#
# Handle command-line tasks that that need to load the modules to run
#
if options.output_html:
from cellprofiler.gui.html.manual import generate_html
webpage_path = options.output_directory if options.output_directory else None
generate_html(webpage_path)
return
if options.print_measurements:
print_measurements(options)
return
if not hasattr(sys, "frozen") and options.code_statistics:
print_code_statistics()
return
if options.write_schema_and_exit:
write_schema(options.pipeline_filename)
return
#
# ------------------------------------------
if options.show_gui:
import wx
wx.Log.EnableLogging(False)
from cellprofiler.gui.app import App
from cellprofiler.workspace import is_workspace_file
if options.pipeline_filename:
if is_workspace_file(options.pipeline_filename):
workspace_path = os.path.expanduser(
options.pipeline_filename)
pipeline_path = None
else:
pipeline_path = os.path.expanduser(
options.pipeline_filename)
workspace_path = None
elif options.new_project:
workspace_path = False
pipeline_path = None
else:
workspace_path = None
pipeline_path = None
app = App(0,
workspace_path=workspace_path,
pipeline_path=pipeline_path)
if options.data_file is not None:
cpprefs.set_data_file(os.path.abspath(options.data_file))
from cellprofiler.utilities.version import version_string, version_number
logging.root.info("Version: %s / %d" %
(version_string, version_number))
if options.run_pipeline and not options.pipeline_filename:
raise ValueError("You must specify a pipeline filename to run")
if options.output_directory:
if not os.path.exists(options.output_directory):
os.makedirs(options.output_directory)
cpprefs.set_default_output_directory(options.output_directory)
if options.image_directory:
cpprefs.set_default_image_directory(options.image_directory)
if options.show_gui:
if options.run_pipeline:
app.frame.pipeline_controller.do_analyze_images()
app.MainLoop()
return
elif options.run_pipeline:
run_pipeline_headless(options, args)
except Exception, e:
logging.root.fatal("Uncaught exception in CellProfiler.py",
exc_info=True)
exit_code = -1
def main():
#
# For Windows build with Ilastik, look for site-packages
# in order to find Ilastik sources.
#
if hasattr(sys, 'frozen') and sys.platform == "win32":
root = os.path.split(sys.argv[0])[0]
if len(root) == 0:
root = os.curdir
root = os.path.abspath(root)
site_packages = os.path.join(root, 'site-packages').encode('utf-8')
if os.path.exists(site_packages) and os.path.isdir(site_packages):
import site
site.addsitedir(site_packages)
#
# For OS/X set up the UI elements that users expect from
# an app.
#
if sys.platform == "darwin":
from cellprofiler.icons import get_builtin_images_path
icon_path = os.path.join(get_builtin_images_path(), "CellProfilerIcon.png")
os.environ["APP_NAME_%d" % os.getpid()] = "CellProfilerWorker"
os.environ["APP_ICON_%d" % os.getpid()] = icon_path
# Start the JVM
from cellprofiler.utilities.cpjvm import cp_start_vm
cp_start_vm()
deadman_start_socket = the_zmq_context.socket(zmq.PAIR)
deadman_start_socket.bind(DEADMAN_START_ADDR)
# Start the deadman switch thread.
start_daemon_thread(target=exit_on_stdin_close,
name="exit_on_stdin_close")
deadman_start_socket.recv()
deadman_start_socket.close()
from cellprofiler.knime_bridge import KnimeBridgeServer
with AnalysisWorker(work_announce_address) as worker:
worker_thread = threading.Thread(target = worker.run,
name="WorkerThread")
worker_thread.setDaemon(True)
worker_thread.start()
with KnimeBridgeServer(the_zmq_context,
knime_bridge_address,
NOTIFY_ADDR, NOTIFY_STOP):
enter_run_loop()
worker_thread.join()
#
# Shutdown - need to handle some global cleanup here
#
try:
from ilastik.core.jobMachine import GLOBAL_WM
GLOBAL_WM.stopWorkers()
except:
logger.warn("Failed to stop Ilastik")
try:
from imagej.imagej2 import allow_quit
allow_quit()
except:
logger.warn("Failed to signal ImageJ to stop")
try:
J.kill_vm()
except:
logger.warn("Failed to stop the Java VM")
image = image[:, :(megapicture.shape[1] - offs[1]), :]
megapicture[offs[0]:(offs[0] + image.shape[0]),
offs[1]:(offs[1] + image.shape[1]), :] += image
self.axes.cla()
self.axes.imshow(megapicture)
self.canvas.draw()
self.navtoolbar.update()
if __name__ == "__main__":
import os
import re
import bioformats
import javabridge
from cellprofiler.utilities.cpjvm import cp_start_vm
cp_start_vm()
app = wx.PySimpleApp(True)
dlg = wx.Dialog(None,
size=(1024, 768),
style=wx.DEFAULT_DIALOG_STYLE | wx.RESIZE_BORDER
| wx.THICK_FRAME)
data = PlateData()
root = r"\\iodine-cifs\imaging_analysis\2007_09_24_BBBC_ImagingPlatform\Fibroblasts"
paths = [
pathname2url(os.path.join(root, filename))
for filename in os.listdir(root) if filename.startswith("plate")
]
filenames = []
plates = []
wells = []
sites = []
offs[0] : (offs[0] + image.shape[0]), offs[1] : (offs[1] + image.shape[1]), :
] += image.astype(megapicture.dtype)
self.axes.cla()
self.axes.imshow(megapicture)
self.canvas.draw()
self.navtoolbar.update()
if __name__ == "__main__":
import os
import re
import bioformats
import javabridge
from cellprofiler.utilities.cpjvm import cp_start_vm
cp_start_vm()
app = wx.PySimpleApp(True)
dlg = wx.Dialog(None, size=(1024, 768), style=wx.DEFAULT_DIALOG_STYLE | wx.RESIZE_BORDER | wx.THICK_FRAME)
data = PlateData()
root = r"\\iodine-cifs\imaging_analysis\2007_09_24_BBBC_ImagingPlatform\Fibroblasts"
paths = [
pathname2url(os.path.join(root, filename)) for filename in os.listdir(root) if filename.startswith("plate")
]
filenames = []
plates = []
wells = []
sites = []
channels = []
# example file name: HDFa030510P6hiP6loP20hiP20lo_A11_s1_w2E387A0AC-E9DE-42FA-8BBC-73F9BA938085.tif
pattern = "^(?P<Plate>.+)_(?P<Well>[A-P][0-9]{2})_(?P<Site>s[0-9])_(?P<Channel>w[0-9])[A-F0-9]{8}-[A-F0-9]{4}-[A-F0-9]{4}-[A-F0-9]{4}-[A-F0-9]{12}.tif$"
for path in paths:
def main(args):
'''Run CellProfiler
args - command-line arguments, e.g. sys.argv
'''
import cellprofiler.preferences as cpprefs
cpprefs.set_awt_headless(True)
switches = ('--work-announce', '--knime-bridge-address')
if any([any([arg.startswith(switch) for switch in switches])
for arg in args]):
#
# Go headless ASAP
#
cpprefs.set_headless()
for i, arg in enumerate(args):
if arg == "--ij-plugins-directory" and len(args) > i+1:
cpprefs.set_ij_plugin_directory(args[i+1])
break
import cellprofiler.analysis_worker
cellprofiler.analysis_worker.aw_parse_args()
cellprofiler.analysis_worker.main()
sys.exit(0)
if any([arg.startswith('--xml-test-file=') for arg in sys.argv]):
import cpnose
cpnose.main(*sys.argv)
return
options, args = parse_args(args)
if options.print_version:
from cellprofiler.utilities.version import \
dotted_version, version_string, git_hash, version_number
print "CellProfiler %s" % dotted_version
print "Git %s" % git_hash
print "Version %s" % version_number
print "Built %s" % version_string.split(" ")[0]
sys.exit(0)
#
# Important to go headless ASAP
#
if (not options.show_gui) or options.write_schema_and_exit:
import cellprofiler.preferences as cpprefs
cpprefs.set_headless()
# What's there to do but run if you're running headless?
# Might want to change later if there's some headless setup
options.run_pipeline = True
if options.jvm_heap_size is not None:
from cellprofiler.preferences import set_jvm_heap_mb
set_jvm_heap_mb(options.jvm_heap_size, False)
set_log_level(options)
if options.print_groups_file is not None:
print_groups(options.print_groups_file)
return
if options.batch_commands_file is not None:
get_batch_commands(options.batch_commands_file)
return
if options.run_ilastik:
run_ilastik()
return
if options.add_message_for_user:
if len(args) != 3:
sys.stderr.write("Usage: (for add_message-for-user)\n")
sys.stderr.write("CellProfiler --add-message-for-user <caption> <message> <pipeline-or-project>\n")
sys.stderr.write("where:\n")
sys.stderr.write(" <caption> - the message box caption\n")
sys.stderr.write(" <message> - the message displayed inside the message box\n")
sys.stderr.write(" <pipeline-or-project> - the path to the pipeline or project file to modify\n")
return
caption = args[0]
message = args[1]
path = args[2]
import h5py
using_hdf5 = h5py.is_hdf5(path)
if using_hdf5:
import cellprofiler.measurements as cpmeas
m = cpmeas.Measurements(
filename = path, mode="r+")
pipeline_text = m[cpmeas.EXPERIMENT, "Pipeline_Pipeline"]
else:
with open(path, "r") as fd:
pipeline_text = fd.read()
header, body = pipeline_text.split("\n\n", 1)
pipeline_text = header + \
("\nMessageForUser:%s|%s\n\n" % (caption, message)) + body
if using_hdf5:
m[cpmeas.EXPERIMENT, "Pipeline_Pipeline"] = pipeline_text
m.close()
else:
with open(path, "w") as fd:
fd.write(pipeline_text)
print "Message added to %s" % path
return
# necessary to prevent matplotlib trying to use Tkinter as its backend.
# has to be done before CellProfilerApp is imported
from matplotlib import use as mpluse
mpluse('WXAgg')
if (not hasattr(sys, 'frozen')) and options.fetch_external_dependencies:
import external_dependencies
external_dependencies.fetch_external_dependencies(options.overwrite_external_dependencies)
if (not hasattr(sys, 'frozen')) and options.build_extensions:
build_extensions()
if options.build_and_exit:
return
if options.omero_credentials is not None:
set_omero_credentials_from_string(options.omero_credentials)
if options.plugins_directory is not None:
cpprefs.set_plugin_directory(options.plugins_directory,
globally=False)
if options.ij_plugins_directory is not None:
cpprefs.set_ij_plugin_directory(options.ij_plugins_directory,
globally=False)
if options.temp_dir is not None:
if not os.path.exists(options.temp_dir):
os.makedirs(options.temp_dir)
cpprefs.set_temporary_directory(options.temp_dir, globally=False)
if not options.allow_schema_write:
cpprefs.set_allow_schema_write(False)
#
# After the crucial preferences are established, we can start the VM
#
from cellprofiler.utilities.cpjvm import cp_start_vm, cp_stop_vm
cp_start_vm()
#
# Not so crucial preferences...
#
if options.image_set_file is not None:
cpprefs.set_image_set_file(options.image_set_file)
try:
#---------------------------------------
#
# Handle command-line tasks that that need to load the modules to run
#
if options.output_html:
from cellprofiler.gui.html.manual import generate_html
webpage_path = options.output_directory if options.output_directory else None
generate_html(webpage_path)
return
if options.print_measurements:
print_measurements(options)
return
if not hasattr(sys, "frozen") and options.code_statistics:
print_code_statistics()
return
if options.write_schema_and_exit:
write_schema(options.pipeline_filename)
return
#
#------------------------------------------
if options.show_gui:
import wx
wx.Log.EnableLogging(False)
from cellprofiler.cellprofilerapp import CellProfilerApp
from cellprofiler.workspace import is_workspace_file
show_splashbox = (options.pipeline_filename is None and
(not options.new_project) and
options.show_splashbox)
if options.pipeline_filename:
if is_workspace_file(options.pipeline_filename):
workspace_path = os.path.expanduser(options.pipeline_filename)
pipeline_path = None
else:
pipeline_path = os.path.expanduser(options.pipeline_filename)
workspace_path = None
elif options.new_project:
workspace_path = False
pipeline_path = None
else:
workspace_path = None
pipeline_path = None
App = CellProfilerApp(
0,
check_for_new_version = (options.pipeline_filename is None),
show_splashbox = show_splashbox,
workspace_path = workspace_path,
pipeline_path = pipeline_path)
if options.data_file is not None:
cpprefs.set_data_file(os.path.abspath(options.data_file))
from cellprofiler.utilities.version import version_string, version_number
logging.root.info("Version: %s / %d" % (version_string, version_number))
if options.run_pipeline and not options.pipeline_filename:
raise ValueError("You must specify a pipeline filename to run")
if options.output_directory:
if not os.path.exists(options.output_directory):
os.makedirs(options.output_directory)
cpprefs.set_default_output_directory(options.output_directory)
if options.image_directory:
cpprefs.set_default_image_directory(options.image_directory)
if options.show_gui:
if options.run_pipeline:
App.frame.pipeline_controller.do_analyze_images()
App.MainLoop()
return
elif options.run_pipeline:
run_pipeline_headless(options, args)
except Exception, e:
logging.root.fatal("Uncaught exception in CellProfiler.py", exc_info=True)
raise
def main():
#
# For Windows build with Ilastik, look for site-packages
# in order to find Ilastik sources.
#
if hasattr(sys, 'frozen') and sys.platform == "win32":
root = os.path.split(sys.argv[0])[0]
if len(root) == 0:
root = os.curdir
root = os.path.abspath(root)
site_packages = os.path.join(root, 'site-packages').encode('utf-8')
if os.path.exists(site_packages) and os.path.isdir(site_packages):
import site
site.addsitedir(site_packages)
#
# For OS/X set up the UI elements that users expect from
# an app.
#
if sys.platform == "darwin":
from cellprofiler.icons import get_builtin_images_path
icon_path = os.path.join(get_builtin_images_path(),
"artwork/CellProfilerIcon.png")
os.environ["APP_NAME_%d" % os.getpid()] = "CellProfilerWorker"
os.environ["APP_ICON_%d" % os.getpid()] = icon_path
# Start the JVM
from cellprofiler.utilities.cpjvm import cp_start_vm, cp_stop_vm
cp_start_vm()
deadman_start_socket = the_zmq_context.socket(zmq.PAIR)
deadman_start_socket.bind(DEADMAN_START_ADDR)
# Start the deadman switch thread.
start_daemon_thread(target=exit_on_stdin_close, name="exit_on_stdin_close")
deadman_start_socket.recv()
deadman_start_socket.close()
# Limit Ilastik to one job thread.
try:
from ilastik.core.jobMachine import GLOBAL_WM
try:
GLOBAL_WM.set_thread_count(1)
except:
GLOBAL_WM.setThreadCount(1)
except:
pass
from cellprofiler.knime_bridge import KnimeBridgeServer
with AnalysisWorker(work_announce_address) as worker:
worker_thread = threading.Thread(target=worker.run,
name="WorkerThread")
worker_thread.setDaemon(True)
worker_thread.start()
with KnimeBridgeServer(the_zmq_context, knime_bridge_address,
NOTIFY_ADDR, NOTIFY_STOP):
enter_run_loop()
worker_thread.join()
#
# Shutdown - need to handle some global cleanup here
#
try:
from ilastik.core.jobMachine import GLOBAL_WM
GLOBAL_WM.stopWorkers()
except:
logger.warn("Failed to stop Ilastik")
try:
cp_stop_vm()
except:
logger.warn("Failed to stop the JVM", exc_info=1)
def main():
#
# For Windows build with Ilastik, look for site-packages
# in order to find Ilastik sources.
#
if hasattr(sys, 'frozen') and sys.platform == "win32":
root = os.path.split(sys.argv[0])[0]
if len(root) == 0:
root = os.curdir
root = os.path.abspath(root)
site_packages = os.path.join(root, 'site-packages').encode('utf-8')
if os.path.exists(site_packages) and os.path.isdir(site_packages):
import site
site.addsitedir(site_packages)
#
# For OS/X set up the UI elements that users expect from
# an app.
#
if sys.platform == "darwin":
from cellprofiler.icons import get_builtin_images_path
icon_path = os.path.join(get_builtin_images_path(),
"CellProfilerIcon.png")
os.environ["APP_NAME_%d" % os.getpid()] = "CellProfilerWorker"
os.environ["APP_ICON_%d" % os.getpid()] = icon_path
# Start the JVM
from cellprofiler.utilities.cpjvm import cp_start_vm
cp_start_vm()
# Start the deadman switch thread.
start_daemon_thread(target=exit_on_stdin_close, name="exit_on_stdin_close")
with stdin_monitor_lock:
while not stdin_monitor_started:
stdin_monitor_cv.wait()
with AnalysisWorker(work_announce_address) as worker:
worker_thread = threading.Thread(target=worker.run,
name="WorkerThread")
worker_thread.setDaemon(True)
worker_thread.start()
print "Entering run loop"
enter_run_loop()
print "Exiting run loop"
worker_thread.join()
#
# Shutdown - need to handle some global cleanup here
#
try:
from ilastik.core.jobMachine import GLOBAL_WM
GLOBAL_WM.stopWorkers()
except:
logger.warn("Failed to stop Ilastik")
try:
from imagej.imagej2 import allow_quit
allow_quit()
except:
logger.warn("Failed to signal ImageJ to stop")
try:
J.kill_vm()
except:
logger.warn("Failed to stop the Java VM")
