segmenter: add process_id
This commit is contained in:
Romain Bazile
parent
5d0c067eb6
commit
ec43f11f98
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@ -98,6 +98,7 @@ class SegmenterProcess(multiprocessing.Process):
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# combination of self.__debug_objects_root and actual sample folder name
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self.__working_debug_path = ""
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self.__archive_fn = ""
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self.__process_id = ""
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self.__flat = None
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self.__mask_array = None
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self.__mask_to_remove = None
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@ -565,7 +566,13 @@ class SegmenterProcess(multiprocessing.Process):
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logger.debug(f"Images found are {images_list}")
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images_count = len(images_list)
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logger.debug(f"We found {images_count} images, good luck!")
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if images_count == 0:
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logger.error(
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"There is no image to run the segmentation on. Please check your selection."
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)
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raise FileNotFoundError
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else:
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logger.debug(f"We found {images_count} images, good luck!")
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first_start = time.monotonic()
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self.__mask_to_remove = None
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@ -665,7 +672,9 @@ class SegmenterProcess(multiprocessing.Process):
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objects_count, _ = self._slice_image(img, name, mask, total_objects)
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total_objects += objects_count
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# Simple heuristic to detect a movement of the flow cell and a change in the resulting flat
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# TODO: this heuristic should be improved or removed if deemed unnecessary
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if average_objects != 0 and objects_count > average_objects + 20:
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# FIXME: this should force a new slice of the current image
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logger.debug(
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f"We need to recalculate a flat since we have {objects_count} new objects instead of the average of {average_objects}"
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)
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@ -735,14 +744,29 @@ class SegmenterProcess(multiprocessing.Process):
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"""
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logger.info(f"The pipeline will be run in {len(path_list)} directories")
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logger.debug(f"Those are {path_list}")
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self.__process_uuid = planktoscope.uuidName.uuidMachine(
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machine=planktoscope.uuidName.getSerial()
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)
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if self.__process_id == "":
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self.__process_id = self.__process_uuid
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logger.info(f"The process_uuid of this run is {self.__process_uuid}")
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logger.info(f"The process_id of this run is {self.__process_id}")
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exception = None
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for path in path_list:
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logger.debug(f"{path}: Checking for the presence of metadata.json")
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if os.path.exists(os.path.join(path, "metadata.json")):
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# The file exists, let's check if we force or not
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if force:
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# forcing, let's gooooo
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if not self.segment_path(path, ecotaxa_export):
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logger.error(f"There was en error while segmenting {path}")
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try:
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self.segment_path(path, ecotaxa_export)
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except Exception as e:
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logger.error(f"There was an error while segmenting {path}")
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exception = e
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else:
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# we need to check for the presence of done.txt in each folder
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logger.debug(f"{path}: Checking for the presence of done.txt")
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@ -751,12 +775,25 @@ class SegmenterProcess(multiprocessing.Process):
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f"Moving to the next folder, {path} has already been segmented"
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)
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else:
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if not self.segment_path(path, ecotaxa_export):
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logger.error(f"There was en error while segmenting {path}")
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try:
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self.segment_path(path, ecotaxa_export)
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except Exception as e:
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logger.error(f"There was an error while segmenting {path}")
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exception = e
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else:
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logger.debug(f"Moving to the next folder, {path} has no metadata.json")
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# Publish the status "Done" to via MQTT to Node-RED
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self.segmenter_client.client.publish("status/segmenter", '{"status":"Done"}')
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if exception is None:
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# Publish the status "Done" to via MQTT to Node-RED
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self.segmenter_client.client.publish(
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"status/segmenter", '{"status":"Done"}'
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)
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else:
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self.segmenter_client.client.publish(
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"status/segmenter",
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f'{{"status":"An exception was raised during the segmentation: {e}."}}',
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)
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# Reset process_id
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self.__process_id = ""
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def segment_path(self, path, ecotaxa_export):
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"""Starts the segmentation in the given path
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@ -778,8 +815,12 @@ class SegmenterProcess(multiprocessing.Process):
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)
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project = self.__global_metadata["sample_project"].replace(" ", "_")
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date = datetime.datetime.utcnow().isoformat()
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sample = self.__global_metadata["sample_id"].replace(" ", "_")
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date = datetime.datetime.utcnow().isoformat()
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self.__global_metadata["process_datetime"] = date
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self.__global_metadata["process_uuid"] = self.__process_uuid
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self.__global_metadata["process_id"] = f"{project}_{sample}_{self.__process_id}"
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# TODO Make this dynamic: if we change operations order and/or parameters, we need to make this evolve.
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self.__global_metadata["process_1st_operation"] = {
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@ -851,12 +892,13 @@ class SegmenterProcess(multiprocessing.Process):
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self._pipe(ecotaxa_export)
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except Exception as e:
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logger.exception(f"There was an error in the pipeline {e}")
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return False
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raise e
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# Add file 'done' to path to mark the folder as already segmented
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with open(os.path.join(self.__working_path, "done.txt"), "w") as done_file:
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done_file.writelines(datetime.datetime.utcnow().isoformat())
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logger.info(f"Pipeline has been run for {path}")
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return True
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@logger.catch
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@ -871,28 +913,39 @@ class SegmenterProcess(multiprocessing.Process):
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if "action" in last_message:
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# If the command is "segment"
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if last_message["action"] == "segment":
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path = None
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recursive = True
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force = False
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ecotaxa_export = True
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# {"action":"segment"}
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if "settings" in last_message:
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if "force" in last_message["settings"]:
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# force rework of already done folder
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force = last_message["settings"]["force"]
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if "recursive" in last_message["settings"]:
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# parse folders recursively starting from the given parameter
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recursive = last_message["settings"]["recursive"]
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if "ecotaxa" in last_message["settings"]:
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# generate ecotaxa output archive
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ecotaxa_export = last_message["settings"]["ecotaxa"]
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# force rework of already done folder
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force = (
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last_message["settings"]["force"]
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if "force" in last_message
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else False
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)
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# parse folders recursively starting from the given parameter
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recursive = (
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last_message["settings"]["recursive"]
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if "recursive" in last_message
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else True
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)
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# generate ecotaxa output archive
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ecotaxa_export = (
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last_message["settings"]["ecotaxa"]
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if "ecotaxa" in last_message
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else True
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)
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if "keep" in last_message["settings"]:
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# keep debug images
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self.__save_debug_img = last_message["settings"]["keep"]
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if "process_id" in last_message["settings"]:
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# keep debug images
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self.__process_id = last_message["settings"]["process_id"]
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# TODO eventually add customisation to segmenter parameters here
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if "path" in last_message:
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path = last_message["path"]
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path = last_message["path"] if "path" in last_message else None
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# Publish the status "Started" to via MQTT to Node-RED
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self.segmenter_client.client.publish(
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