kopia lustrzana https://github.com/OpenDroneMap/WebODM
962 wiersze
44 KiB
Python
962 wiersze
44 KiB
Python
import logging
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import os
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import shutil
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import time
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import uuid as uuid_module
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import json
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from shlex import quote
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import errno
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import piexif
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import re
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import zipfile
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import requests
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from PIL import Image
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from django.contrib.gis.gdal import GDALRaster
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from django.contrib.gis.gdal import OGRGeometry
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from django.contrib.gis.geos import GEOSGeometry
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from django.contrib.postgres import fields
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from django.core.exceptions import ValidationError
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from django.db import models
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from django.db import transaction
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from django.db import connection
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from django.utils import timezone
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from urllib3.exceptions import ReadTimeoutError
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from app import pending_actions
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from django.contrib.gis.db.models.fields import GeometryField
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from app.cogeo import assure_cogeo
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from app.testwatch import testWatch
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from nodeodm import status_codes
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from nodeodm.models import ProcessingNode
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from pyodm.exceptions import NodeResponseError, NodeConnectionError, NodeServerError, OdmError
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from webodm import settings
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from app.classes.gcp import GCPFile
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from .project import Project
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from django.utils.translation import gettext_lazy as _, gettext
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from functools import partial
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import subprocess
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logger = logging.getLogger('app.logger')
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class TaskInterruptedException(Exception):
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pass
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def task_directory_path(taskId, projectId):
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return 'project/{0}/task/{1}/'.format(projectId, taskId)
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def full_task_directory_path(taskId, projectId, *args):
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return os.path.join(settings.MEDIA_ROOT, task_directory_path(taskId, projectId), *args)
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def assets_directory_path(taskId, projectId, filename):
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# files will be uploaded to MEDIA_ROOT/project/<id>/task/<id>/<filename>
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return '{0}{1}'.format(task_directory_path(taskId, projectId), filename)
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def gcp_directory_path(task, filename):
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return assets_directory_path(task.id, task.project.id, filename)
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def validate_task_options(value):
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"""
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Make sure that the format of this options field is valid
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"""
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if len(value) == 0: return
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try:
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for option in value:
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if not option['name']: raise ValidationError("Name key not found in option")
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if not option['value']: raise ValidationError("Value key not found in option")
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except:
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raise ValidationError("Invalid options")
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def resize_image(image_path, resize_to, done=None):
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"""
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:param image_path: path to the image
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:param resize_to: target size to resize this image to (largest side)
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:param done: optional callback
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:return: path and resize ratio
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"""
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try:
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can_resize = False
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# Check if this image can be resized
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# There's no easy way to resize multispectral 16bit images
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# (Support should be added to PIL)
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is_jpeg = re.match(r'.*\.jpe?g$', image_path, re.IGNORECASE)
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if is_jpeg:
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# We can always resize these
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can_resize = True
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else:
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try:
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bps = piexif.load(image_path)['0th'][piexif.ImageIFD.BitsPerSample]
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if isinstance(bps, int):
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# Always resize single band images
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can_resize = True
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elif isinstance(bps, tuple) and len(bps) > 1:
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# Only resize multiband images if depth is 8bit
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can_resize = bps == (8, ) * len(bps)
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else:
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logger.warning("Cannot determine if image %s can be resized, hoping for the best!" % image_path)
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can_resize = True
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except KeyError:
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logger.warning("Cannot find BitsPerSample tag for %s" % image_path)
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if not can_resize:
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logger.warning("Cannot resize %s" % image_path)
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return {'path': image_path, 'resize_ratio': 1}
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im = Image.open(image_path)
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path, ext = os.path.splitext(image_path)
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resized_image_path = os.path.join(path + '.resized' + ext)
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width, height = im.size
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max_side = max(width, height)
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if max_side < resize_to:
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logger.warning('You asked to make {} bigger ({} --> {}), but we are not going to do that.'.format(image_path, max_side, resize_to))
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im.close()
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return {'path': image_path, 'resize_ratio': 1}
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ratio = float(resize_to) / float(max_side)
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resized_width = int(width * ratio)
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resized_height = int(height * ratio)
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im = im.resize((resized_width, resized_height), Image.BILINEAR)
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params = {}
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if is_jpeg:
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params['quality'] = 100
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if 'exif' in im.info:
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exif_dict = piexif.load(im.info['exif'])
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exif_dict['Exif'][piexif.ExifIFD.PixelXDimension] = resized_width
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exif_dict['Exif'][piexif.ExifIFD.PixelYDimension] = resized_height
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im.save(resized_image_path, exif=piexif.dump(exif_dict), **params)
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else:
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im.save(resized_image_path, **params)
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im.close()
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# Delete original image, rename resized image to original
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os.remove(image_path)
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os.rename(resized_image_path, image_path)
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logger.info("Resized {} to {}x{}".format(image_path, resized_width, resized_height))
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except (IOError, ValueError) as e:
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logger.warning("Cannot resize {}: {}.".format(image_path, str(e)))
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if done is not None:
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done()
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return None
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retval = {'path': image_path, 'resize_ratio': ratio}
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if done is not None:
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done(retval)
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return retval
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class Task(models.Model):
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ASSETS_MAP = {
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'all.zip': 'all.zip',
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'orthophoto.tif': os.path.join('odm_orthophoto', 'odm_orthophoto.tif'),
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'orthophoto.png': os.path.join('odm_orthophoto', 'odm_orthophoto.png'),
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'orthophoto.mbtiles': os.path.join('odm_orthophoto', 'odm_orthophoto.mbtiles'),
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'georeferenced_model.las': os.path.join('odm_georeferencing', 'odm_georeferenced_model.las'),
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'georeferenced_model.laz': os.path.join('odm_georeferencing', 'odm_georeferenced_model.laz'),
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'georeferenced_model.ply': os.path.join('odm_georeferencing', 'odm_georeferenced_model.ply'),
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'georeferenced_model.csv': os.path.join('odm_georeferencing', 'odm_georeferenced_model.csv'),
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'textured_model.zip': {
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'deferred_path': 'textured_model.zip',
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'deferred_compress_dir': 'odm_texturing'
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},
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'dtm.tif': os.path.join('odm_dem', 'dtm.tif'),
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'dsm.tif': os.path.join('odm_dem', 'dsm.tif'),
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'dtm_tiles.zip': {
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'deferred_path': 'dtm_tiles.zip',
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'deferred_compress_dir': 'dtm_tiles'
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},
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'dsm_tiles.zip': {
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'deferred_path': 'dsm_tiles.zip',
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'deferred_compress_dir': 'dsm_tiles'
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},
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'orthophoto_tiles.zip': {
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'deferred_path': 'orthophoto_tiles.zip',
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'deferred_compress_dir': 'orthophoto_tiles'
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},
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'cameras.json': 'cameras.json',
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'shots.geojson': os.path.join('odm_report', 'shots.geojson'),
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'report.pdf': os.path.join('odm_report', 'report.pdf'),
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}
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STATUS_CODES = (
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(status_codes.QUEUED, 'QUEUED'),
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(status_codes.RUNNING, 'RUNNING'),
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(status_codes.FAILED, 'FAILED'),
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(status_codes.COMPLETED, 'COMPLETED'),
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(status_codes.CANCELED, 'CANCELED'),
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)
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PENDING_ACTIONS = (
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(pending_actions.CANCEL, 'CANCEL'),
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(pending_actions.REMOVE, 'REMOVE'),
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(pending_actions.RESTART, 'RESTART'),
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(pending_actions.RESIZE, 'RESIZE'),
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(pending_actions.IMPORT, 'IMPORT'),
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)
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TASK_PROGRESS_LAST_VALUE = 0.85
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id = models.UUIDField(primary_key=True, default=uuid_module.uuid4, unique=True, serialize=False, editable=False, verbose_name=_("Id"))
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uuid = models.CharField(max_length=255, db_index=True, default='', blank=True, help_text=_("Identifier of the task (as returned by NodeODM API)"), verbose_name=_("UUID"))
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project = models.ForeignKey(Project, on_delete=models.CASCADE, help_text=_("Project that this task belongs to"), verbose_name=_("Project"))
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name = models.CharField(max_length=255, null=True, blank=True, help_text=_("A label for the task"), verbose_name=_("Name"))
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processing_time = models.IntegerField(default=-1, help_text=_("Number of milliseconds that elapsed since the beginning of this task (-1 indicates that no information is available)"), verbose_name=_("Processing Time"))
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processing_node = models.ForeignKey(ProcessingNode, on_delete=models.SET_NULL, null=True, blank=True, help_text=_("Processing node assigned to this task (or null if this task has not been associated yet)"), verbose_name=_("Processing Node"))
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auto_processing_node = models.BooleanField(default=True, help_text=_("A flag indicating whether this task should be automatically assigned a processing node"), verbose_name=_("Auto Processing Node"))
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status = models.IntegerField(choices=STATUS_CODES, db_index=True, null=True, blank=True, help_text=_("Current status of the task"), verbose_name=_("Status"))
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last_error = models.TextField(null=True, blank=True, help_text=_("The last processing error received"), verbose_name=_("Last Error"))
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options = fields.JSONField(default=dict, blank=True, help_text=_("Options that are being used to process this task"), validators=[validate_task_options], verbose_name=_("Options"))
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available_assets = fields.ArrayField(models.CharField(max_length=80), default=list, blank=True, help_text=_("List of available assets to download"), verbose_name=_("Available Assets"))
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console_output = models.TextField(null=False, default="", blank=True, help_text=_("Console output of the processing node"), verbose_name=_("Console Output"))
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orthophoto_extent = GeometryField(null=True, blank=True, srid=4326, help_text=_("Extent of the orthophoto"), verbose_name=_("Orthophoto Extent"))
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dsm_extent = GeometryField(null=True, blank=True, srid=4326, help_text="Extent of the DSM", verbose_name=_("DSM Extent"))
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dtm_extent = GeometryField(null=True, blank=True, srid=4326, help_text="Extent of the DTM", verbose_name=_("DTM Extent"))
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# mission
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created_at = models.DateTimeField(default=timezone.now, help_text=_("Creation date"), verbose_name=_("Created at"))
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pending_action = models.IntegerField(choices=PENDING_ACTIONS, db_index=True, null=True, blank=True, help_text=_("A requested action to be performed on the task. The selected action will be performed by the worker at the next iteration."), verbose_name=_("Pending Action"))
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public = models.BooleanField(default=False, help_text=_("A flag indicating whether this task is available to the public"), verbose_name=_("Public"))
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resize_to = models.IntegerField(default=-1, help_text=_("When set to a value different than -1, indicates that the images for this task have been / will be resized to the size specified here before processing."), verbose_name=_("Resize To"))
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upload_progress = models.FloatField(default=0.0,
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help_text=_("Value between 0 and 1 indicating the upload progress of this task's files to the processing node"),
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verbose_name=_("Upload Progress"),
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blank=True)
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resize_progress = models.FloatField(default=0.0,
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help_text=_("Value between 0 and 1 indicating the resize progress of this task's images"),
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verbose_name=_("Resize Progress"),
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blank=True)
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running_progress = models.FloatField(default=0.0,
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help_text=_("Value between 0 and 1 indicating the running progress (estimated) of this task"),
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verbose_name=_("Running Progress"),
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blank=True)
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import_url = models.TextField(null=False, default="", blank=True, help_text=_("URL this task is imported from (only for imported tasks)"), verbose_name=_("Import URL"))
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images_count = models.IntegerField(null=False, blank=True, default=0, help_text=_("Number of images associated with this task"), verbose_name=_("Images Count"))
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partial = models.BooleanField(default=False, help_text=_("A flag indicating whether this task is currently waiting for information or files to be uploaded before being considered for processing."), verbose_name=_("Partial"))
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potree_scene = fields.JSONField(default=dict, blank=True, help_text=_("Serialized potree scene information used to save/load measurements and camera view angle"), verbose_name=_("Potree Scene"))
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class Meta:
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verbose_name = _("Task")
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verbose_name_plural = _("Tasks")
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def __init__(self, *args, **kwargs):
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super(Task, self).__init__(*args, **kwargs)
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# To help keep track of changes to the project id
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self.__original_project_id = self.project.id
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def __str__(self):
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name = self.name if self.name is not None else gettext("unnamed")
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return 'Task [{}] ({})'.format(name, self.id)
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def move_assets(self, old_project_id, new_project_id):
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"""
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Moves the task's folder, update ImageFields and orthophoto files to a new project
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"""
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old_task_folder = full_task_directory_path(self.id, old_project_id)
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new_task_folder = full_task_directory_path(self.id, new_project_id)
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new_task_folder_parent = os.path.abspath(os.path.join(new_task_folder, os.pardir))
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try:
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if os.path.exists(old_task_folder) and not os.path.exists(new_task_folder):
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# Use parent, otherwise we get a duplicate directory in there
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if not os.path.exists(new_task_folder_parent):
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os.makedirs(new_task_folder_parent)
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shutil.move(old_task_folder, new_task_folder_parent)
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logger.info("Moved task folder from {} to {}".format(old_task_folder, new_task_folder))
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with transaction.atomic():
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for img in self.imageupload_set.all():
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prev_name = img.image.name
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img.image.name = assets_directory_path(self.id, new_project_id,
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os.path.basename(img.image.name))
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logger.info("Changing {} to {}".format(prev_name, img))
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img.save()
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else:
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logger.warning("Project changed for task {}, but either {} doesn't exist, or {} already exists. This doesn't look right, so we will not move any files.".format(self,
|
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old_task_folder,
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new_task_folder))
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except shutil.Error as e:
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logger.warning("Could not move assets folder for task {}. We're going to proceed anyway, but you might experience issues: {}".format(self, e))
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def save(self, *args, **kwargs):
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if self.project.id != self.__original_project_id:
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self.move_assets(self.__original_project_id, self.project.id)
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self.__original_project_id = self.project.id
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super(Task, self).save(*args, **kwargs)
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def assets_path(self, *args):
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"""
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Get a path relative to the place where assets are stored
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"""
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return self.task_path("assets", *args)
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|
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def task_path(self, *args):
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"""
|
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Get path relative to the root task directory
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"""
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return os.path.join(settings.MEDIA_ROOT,
|
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assets_directory_path(self.id, self.project.id, ""),
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*args)
|
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|
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def is_asset_available_slow(self, asset):
|
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"""
|
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Checks whether a particular asset is available in the file system
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Generally this should never be used directly, as it's slow. Use the available_assets field
|
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in the database instead.
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:param asset: one of ASSETS_MAP keys
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:return: boolean
|
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"""
|
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if asset in self.ASSETS_MAP:
|
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value = self.ASSETS_MAP[asset]
|
||
if isinstance(value, str):
|
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return os.path.exists(self.assets_path(value))
|
||
elif isinstance(value, dict):
|
||
if 'deferred_compress_dir' in value:
|
||
return os.path.exists(self.assets_path(value['deferred_compress_dir']))
|
||
|
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return False
|
||
|
||
def get_statistics(self):
|
||
"""
|
||
Parse ODM's stats.json if available
|
||
"""
|
||
stats_json = self.assets_path("odm_report", "stats.json")
|
||
if os.path.exists(stats_json):
|
||
try:
|
||
with open(stats_json) as f:
|
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j = json.loads(f.read())
|
||
except Exception as e:
|
||
logger.warning("Malformed JSON {}: {}".format(stats_json, str(e)))
|
||
return {}
|
||
|
||
points = None
|
||
if j.get('point_cloud_statistics', {}).get('dense', False):
|
||
points = j.get('point_cloud_statistics', {}).get('stats', {}).get('statistic', [{}])[0].get('count')
|
||
else:
|
||
points = j.get('reconstruction_statistics', {}).get('reconstructed_points_count')
|
||
|
||
return {
|
||
'pointcloud':{
|
||
'points': points,
|
||
},
|
||
'gsd': j.get('odm_processing_statistics', {}).get('average_gsd'),
|
||
'area': j.get('processing_statistics', {}).get('area')
|
||
}
|
||
else:
|
||
return {}
|
||
|
||
def get_asset_download_path(self, asset):
|
||
"""
|
||
Get the path to an asset download
|
||
:param asset: one of ASSETS_MAP keys
|
||
:return: path
|
||
"""
|
||
|
||
if asset in self.ASSETS_MAP:
|
||
value = self.ASSETS_MAP[asset]
|
||
if isinstance(value, str):
|
||
return self.assets_path(value)
|
||
|
||
elif isinstance(value, dict):
|
||
if 'deferred_path' in value and 'deferred_compress_dir' in value:
|
||
return self.generate_deferred_asset(value['deferred_path'], value['deferred_compress_dir'])
|
||
else:
|
||
raise FileNotFoundError("{} is not a valid asset (invalid dict values)".format(asset))
|
||
|
||
else:
|
||
raise FileNotFoundError("{} is not a valid asset (invalid map)".format(asset))
|
||
else:
|
||
raise FileNotFoundError("{} is not a valid asset".format(asset))
|
||
|
||
def handle_import(self):
|
||
self.console_output += gettext("Importing assets...") + "\n"
|
||
self.save()
|
||
|
||
zip_path = self.assets_path("all.zip")
|
||
|
||
if self.import_url and not os.path.exists(zip_path):
|
||
try:
|
||
# TODO: this is potentially vulnerable to a zip bomb attack
|
||
# mitigated by the fact that a valid account is needed to
|
||
# import tasks
|
||
logger.info("Importing task assets from {} for {}".format(self.import_url, self))
|
||
download_stream = requests.get(self.import_url, stream=True, timeout=10)
|
||
content_length = download_stream.headers.get('content-length')
|
||
total_length = int(content_length) if content_length is not None else None
|
||
downloaded = 0
|
||
last_update = 0
|
||
|
||
with open(zip_path, 'wb') as fd:
|
||
for chunk in download_stream.iter_content(4096):
|
||
downloaded += len(chunk)
|
||
|
||
if time.time() - last_update >= 2:
|
||
# Update progress
|
||
if total_length is not None:
|
||
Task.objects.filter(pk=self.id).update(running_progress=(float(downloaded) / total_length) * 0.9)
|
||
|
||
self.check_if_canceled()
|
||
last_update = time.time()
|
||
|
||
fd.write(chunk)
|
||
|
||
except (requests.exceptions.Timeout, requests.exceptions.ConnectionError, ReadTimeoutError) as e:
|
||
raise NodeServerError(e)
|
||
|
||
self.refresh_from_db()
|
||
|
||
try:
|
||
self.extract_assets_and_complete()
|
||
except zipfile.BadZipFile:
|
||
raise NodeServerError(gettext("Invalid zip file"))
|
||
|
||
images_json = self.assets_path("images.json")
|
||
if os.path.exists(images_json):
|
||
try:
|
||
with open(images_json) as f:
|
||
images = json.load(f)
|
||
self.images_count = len(images)
|
||
except:
|
||
logger.warning("Cannot read images count from imported task {}".format(self))
|
||
pass
|
||
|
||
self.pending_action = None
|
||
self.processing_time = 0
|
||
self.save()
|
||
|
||
def process(self):
|
||
"""
|
||
This method contains the logic for processing tasks asynchronously
|
||
from a background thread or from a worker. Here tasks that are
|
||
ready to be processed execute some logic. This could be communication
|
||
with a processing node or executing a pending action.
|
||
"""
|
||
|
||
try:
|
||
if self.pending_action == pending_actions.IMPORT:
|
||
self.handle_import()
|
||
|
||
if self.pending_action == pending_actions.RESIZE:
|
||
resized_images = self.resize_images()
|
||
self.refresh_from_db()
|
||
self.resize_gcp(resized_images)
|
||
self.pending_action = None
|
||
self.save()
|
||
|
||
if self.auto_processing_node and not self.status in [status_codes.FAILED, status_codes.CANCELED]:
|
||
# No processing node assigned and need to auto assign
|
||
if self.processing_node is None:
|
||
# Assign first online node with lowest queue count
|
||
self.processing_node = ProcessingNode.find_best_available_node()
|
||
if self.processing_node:
|
||
self.processing_node.queue_count += 1 # Doesn't have to be accurate, it will get overridden later
|
||
self.processing_node.save()
|
||
|
||
logger.info("Automatically assigned processing node {} to {}".format(self.processing_node, self))
|
||
self.save()
|
||
|
||
# Processing node assigned, but is offline and no errors
|
||
if self.processing_node and not self.processing_node.is_online():
|
||
# If we are queued up
|
||
# detach processing node, and reassignment
|
||
# will be processed at the next tick
|
||
if self.status == status_codes.QUEUED:
|
||
logger.info("Processing node {} went offline, reassigning {}...".format(self.processing_node, self))
|
||
self.uuid = ''
|
||
self.processing_node = None
|
||
self.status = None
|
||
self.save()
|
||
|
||
elif self.status == status_codes.RUNNING:
|
||
# Task was running and processing node went offline
|
||
# It could have crashed due to low memory
|
||
# or perhaps it went offline due to network errors.
|
||
# We can't easily differentiate between the two, so we need
|
||
# to notify the user because if it crashed due to low memory
|
||
# the user might need to take action (or be stuck in an infinite loop)
|
||
raise NodeServerError("Processing node went offline. This could be due to insufficient memory or a network error.")
|
||
|
||
if self.processing_node:
|
||
# Need to process some images (UUID not yet set and task doesn't have pending actions)?
|
||
if not self.uuid and self.pending_action is None and self.status is None:
|
||
logger.info("Processing... {}".format(self))
|
||
|
||
images = [image.path() for image in self.imageupload_set.all()]
|
||
|
||
# Track upload progress, but limit the number of DB updates
|
||
# to every 2 seconds (and always record the 100% progress)
|
||
last_update = 0
|
||
def callback(progress):
|
||
nonlocal last_update
|
||
|
||
time_has_elapsed = time.time() - last_update >= 2
|
||
if time_has_elapsed:
|
||
testWatch.manual_log_call("Task.process.callback")
|
||
self.check_if_canceled()
|
||
Task.objects.filter(pk=self.id).update(upload_progress=float(progress) / 100.0)
|
||
last_update = time.time()
|
||
|
||
# This takes a while
|
||
try:
|
||
uuid = self.processing_node.process_new_task(images, self.name, self.options, callback)
|
||
except NodeConnectionError as e:
|
||
# If we can't create a task because the node is offline
|
||
# We want to fail instead of trying again
|
||
raise NodeServerError(gettext('Connection error: %(error)s') % {'error': str(e)})
|
||
|
||
# Refresh task object before committing change
|
||
self.refresh_from_db()
|
||
self.upload_progress = 1.0
|
||
self.uuid = uuid
|
||
self.save()
|
||
|
||
# TODO: log process has started processing
|
||
|
||
if self.pending_action is not None:
|
||
if self.pending_action == pending_actions.CANCEL:
|
||
# Do we need to cancel the task on the processing node?
|
||
logger.info("Canceling {}".format(self))
|
||
if self.processing_node and self.uuid:
|
||
# Attempt to cancel the task on the processing node
|
||
# We don't care if this fails (we tried)
|
||
try:
|
||
self.processing_node.cancel_task(self.uuid)
|
||
except OdmError:
|
||
logger.warning("Could not cancel {} on processing node. We'll proceed anyway...".format(self))
|
||
|
||
self.status = status_codes.CANCELED
|
||
self.pending_action = None
|
||
self.save()
|
||
else:
|
||
# Tasks with no processing node or UUID need no special action
|
||
self.status = status_codes.CANCELED
|
||
self.pending_action = None
|
||
self.save()
|
||
|
||
elif self.pending_action == pending_actions.RESTART:
|
||
logger.info("Restarting {}".format(self))
|
||
if self.processing_node:
|
||
|
||
# Check if the UUID is still valid, as processing nodes purge
|
||
# results after a set amount of time, the UUID might have been eliminated.
|
||
uuid_still_exists = False
|
||
|
||
if self.uuid:
|
||
try:
|
||
info = self.processing_node.get_task_info(self.uuid)
|
||
uuid_still_exists = info.uuid == self.uuid
|
||
except OdmError:
|
||
pass
|
||
|
||
need_to_reprocess = False
|
||
|
||
if uuid_still_exists:
|
||
# Good to go
|
||
try:
|
||
self.processing_node.restart_task(self.uuid, self.options)
|
||
except (NodeServerError, NodeResponseError) as e:
|
||
# Something went wrong
|
||
logger.warning("Could not restart {}, will start a new one".format(self))
|
||
need_to_reprocess = True
|
||
else:
|
||
need_to_reprocess = True
|
||
|
||
if need_to_reprocess:
|
||
logger.info("{} needs to be reprocessed".format(self))
|
||
|
||
# Task has been purged (or processing node is offline)
|
||
# Process this as a new task
|
||
# Removing its UUID will cause the scheduler
|
||
# to process this the next tick
|
||
self.uuid = ''
|
||
|
||
# We also remove the "rerun-from" parameter if it's set
|
||
self.options = list(filter(lambda d: d['name'] != 'rerun-from', self.options))
|
||
self.upload_progress = 0
|
||
|
||
self.console_output = ""
|
||
self.processing_time = -1
|
||
self.status = None
|
||
self.last_error = None
|
||
self.pending_action = None
|
||
self.running_progress = 0
|
||
self.save()
|
||
else:
|
||
raise NodeServerError(gettext("Cannot restart a task that has no processing node"))
|
||
|
||
elif self.pending_action == pending_actions.REMOVE:
|
||
logger.info("Removing {}".format(self))
|
||
if self.processing_node and self.uuid:
|
||
# Attempt to delete the resources on the processing node
|
||
# We don't care if this fails, as resources on processing nodes
|
||
# Are expected to be purged on their own after a set amount of time anyway
|
||
try:
|
||
self.processing_node.remove_task(self.uuid)
|
||
except OdmError:
|
||
pass
|
||
|
||
# What's more important is that we delete our task properly here
|
||
self.delete()
|
||
|
||
# Stop right here!
|
||
return
|
||
|
||
if self.processing_node:
|
||
# Need to update status (first time, queued or running?)
|
||
if self.uuid and self.status in [None, status_codes.QUEUED, status_codes.RUNNING]:
|
||
# Update task info from processing node
|
||
if not self.console_output:
|
||
current_lines_count = 0
|
||
else:
|
||
current_lines_count = len(self.console_output.split("\n"))
|
||
|
||
info = self.processing_node.get_task_info(self.uuid, current_lines_count)
|
||
|
||
self.processing_time = info.processing_time
|
||
self.status = info.status.value
|
||
|
||
if len(info.output) > 0:
|
||
self.console_output += "\n".join(info.output) + '\n'
|
||
|
||
# Update running progress
|
||
self.running_progress = (info.progress / 100.0) * self.TASK_PROGRESS_LAST_VALUE
|
||
|
||
if info.last_error != "":
|
||
self.last_error = info.last_error
|
||
|
||
# Has the task just been canceled, failed, or completed?
|
||
if self.status in [status_codes.FAILED, status_codes.COMPLETED, status_codes.CANCELED]:
|
||
logger.info("Processing status: {} for {}".format(self.status, self))
|
||
|
||
if self.status == status_codes.COMPLETED:
|
||
assets_dir = self.assets_path("")
|
||
|
||
# Remove previous assets directory
|
||
if os.path.exists(assets_dir):
|
||
logger.info("Removing old assets directory: {} for {}".format(assets_dir, self))
|
||
shutil.rmtree(assets_dir)
|
||
|
||
os.makedirs(assets_dir)
|
||
|
||
# Download and try to extract results up to 4 times
|
||
# (~5% of the times, on large downloads, the archive could be corrupted)
|
||
retry_num = 0
|
||
extracted = False
|
||
last_update = 0
|
||
|
||
def callback(progress):
|
||
nonlocal last_update
|
||
|
||
time_has_elapsed = time.time() - last_update >= 2
|
||
|
||
if time_has_elapsed or int(progress) == 100:
|
||
Task.objects.filter(pk=self.id).update(running_progress=(
|
||
self.TASK_PROGRESS_LAST_VALUE + (float(progress) / 100.0) * 0.1))
|
||
last_update = time.time()
|
||
|
||
while not extracted:
|
||
last_update = 0
|
||
logger.info("Downloading all.zip for {}".format(self))
|
||
|
||
# Download all assets
|
||
zip_path = self.processing_node.download_task_assets(self.uuid, assets_dir, progress_callback=callback, parallel_downloads=max(1, int(16 / (2 ** retry_num))))
|
||
|
||
# Rename to all.zip
|
||
all_zip_path = self.assets_path("all.zip")
|
||
os.rename(zip_path, all_zip_path)
|
||
|
||
logger.info("Extracting all.zip for {}".format(self))
|
||
|
||
try:
|
||
self.extract_assets_and_complete()
|
||
extracted = True
|
||
except zipfile.BadZipFile:
|
||
if retry_num < 5:
|
||
logger.warning("{} seems corrupted. Retrying...".format(all_zip_path))
|
||
retry_num += 1
|
||
os.remove(all_zip_path)
|
||
else:
|
||
raise NodeServerError(gettext("Invalid zip file"))
|
||
else:
|
||
# FAILED, CANCELED
|
||
self.save()
|
||
else:
|
||
# Still waiting...
|
||
self.save()
|
||
|
||
except (NodeServerError, NodeResponseError) as e:
|
||
self.set_failure(str(e))
|
||
except NodeConnectionError as e:
|
||
logger.warning("{} connection/timeout error: {}. We'll try reprocessing at the next tick.".format(self, str(e)))
|
||
except TaskInterruptedException as e:
|
||
# Task was interrupted during image resize / upload
|
||
logger.warning("{} interrupted".format(self, str(e)))
|
||
|
||
def extract_assets_and_complete(self):
|
||
"""
|
||
Extracts assets/all.zip, populates task fields where required and assure COGs
|
||
It will raise a zipfile.BadZipFile exception is the archive is corrupted.
|
||
:return:
|
||
"""
|
||
assets_dir = self.assets_path("")
|
||
zip_path = self.assets_path("all.zip")
|
||
|
||
# Extract from zip
|
||
with zipfile.ZipFile(zip_path, "r") as zip_h:
|
||
zip_h.extractall(assets_dir)
|
||
|
||
logger.info("Extracted all.zip for {}".format(self))
|
||
|
||
# Populate *_extent fields
|
||
extent_fields = [
|
||
(os.path.realpath(self.assets_path("odm_orthophoto", "odm_orthophoto.tif")),
|
||
'orthophoto_extent'),
|
||
(os.path.realpath(self.assets_path("odm_dem", "dsm.tif")),
|
||
'dsm_extent'),
|
||
(os.path.realpath(self.assets_path("odm_dem", "dtm.tif")),
|
||
'dtm_extent'),
|
||
]
|
||
|
||
for raster_path, field in extent_fields:
|
||
if os.path.exists(raster_path):
|
||
# Make sure this is a Cloud Optimized GeoTIFF
|
||
# if not, it will be created
|
||
try:
|
||
assure_cogeo(raster_path)
|
||
except IOError as e:
|
||
logger.warning("Cannot create Cloud Optimized GeoTIFF for %s (%s). This will result in degraded visualization performance." % (raster_path, str(e)))
|
||
|
||
# Read extent and SRID
|
||
raster = GDALRaster(raster_path)
|
||
extent = OGRGeometry.from_bbox(raster.extent)
|
||
|
||
# Make sure PostGIS supports it
|
||
with connection.cursor() as cursor:
|
||
cursor.execute("SELECT SRID FROM spatial_ref_sys WHERE SRID = %s", [raster.srid])
|
||
if cursor.rowcount == 0:
|
||
raise NodeServerError(gettext("Unsupported SRS %(code)s. Please make sure you picked a supported SRS.") % {'code': str(raster.srid)})
|
||
|
||
# It will be implicitly transformed into the SRID of the model’s field
|
||
# self.field = GEOSGeometry(...)
|
||
setattr(self, field, GEOSGeometry(extent.wkt, srid=raster.srid))
|
||
|
||
logger.info("Populated extent field with {} for {}".format(raster_path, self))
|
||
|
||
self.update_available_assets_field()
|
||
self.potree_scene = {}
|
||
self.running_progress = 1.0
|
||
self.console_output += gettext("Done!") + "\n"
|
||
self.status = status_codes.COMPLETED
|
||
self.save()
|
||
|
||
from app.plugins import signals as plugin_signals
|
||
plugin_signals.task_completed.send_robust(sender=self.__class__, task_id=self.id)
|
||
|
||
def get_tile_path(self, tile_type, z, x, y):
|
||
return self.assets_path("{}_tiles".format(tile_type), z, x, "{}.png".format(y))
|
||
|
||
def get_tile_base_url(self, tile_type):
|
||
# plant is just a special case of orthophoto
|
||
if tile_type == 'plant':
|
||
tile_type = 'orthophoto'
|
||
|
||
return "/api/projects/{}/tasks/{}/{}/".format(self.project.id, self.id, tile_type)
|
||
|
||
def get_map_items(self):
|
||
types = []
|
||
if 'orthophoto.tif' in self.available_assets: types.append('orthophoto')
|
||
if 'orthophoto.tif' in self.available_assets: types.append('plant')
|
||
if 'dsm.tif' in self.available_assets: types.append('dsm')
|
||
if 'dtm.tif' in self.available_assets: types.append('dtm')
|
||
|
||
camera_shots = ''
|
||
if 'shots.geojson' in self.available_assets: camera_shots = '/api/projects/{}/tasks/{}/download/shots.geojson'.format(self.project.id, self.id)
|
||
|
||
return {
|
||
'tiles': [{'url': self.get_tile_base_url(t), 'type': t} for t in types],
|
||
'meta': {
|
||
'task': {
|
||
'id': str(self.id),
|
||
'project': self.project.id,
|
||
'public': self.public,
|
||
'camera_shots': camera_shots
|
||
}
|
||
}
|
||
}
|
||
|
||
def get_model_display_params(self):
|
||
"""
|
||
Subset of a task fields used in the 3D model display view
|
||
"""
|
||
return {
|
||
'id': str(self.id),
|
||
'project': self.project.id,
|
||
'available_assets': self.available_assets,
|
||
'public': self.public
|
||
}
|
||
|
||
def generate_deferred_asset(self, archive, directory):
|
||
"""
|
||
:param archive: path of the destination .zip file (relative to /assets/ directory)
|
||
:param directory: path of the source directory to compress (relative to /assets/ directory)
|
||
:return: full path of the generated archive
|
||
"""
|
||
archive_path = self.assets_path(archive)
|
||
directory_path = self.assets_path(directory)
|
||
|
||
if not os.path.exists(directory_path):
|
||
raise FileNotFoundError("{} does not exist".format(directory_path))
|
||
|
||
if not os.path.exists(archive_path):
|
||
shutil.make_archive(os.path.splitext(archive_path)[0], 'zip', directory_path)
|
||
|
||
return archive_path
|
||
|
||
def update_available_assets_field(self, commit=False):
|
||
"""
|
||
Updates the available_assets field with the actual types of assets available
|
||
:param commit: when True also saves the model, otherwise the user should manually call save()
|
||
"""
|
||
all_assets = list(self.ASSETS_MAP.keys())
|
||
self.available_assets = [asset for asset in all_assets if self.is_asset_available_slow(asset)]
|
||
if commit: self.save()
|
||
|
||
|
||
def delete(self, using=None, keep_parents=False):
|
||
task_id = self.id
|
||
from app.plugins import signals as plugin_signals
|
||
plugin_signals.task_removing.send_robust(sender=self.__class__, task_id=task_id)
|
||
|
||
directory_to_delete = os.path.join(settings.MEDIA_ROOT,
|
||
task_directory_path(self.id, self.project.id))
|
||
|
||
super(Task, self).delete(using, keep_parents)
|
||
|
||
# Remove files related to this task
|
||
try:
|
||
shutil.rmtree(directory_to_delete)
|
||
except FileNotFoundError as e:
|
||
logger.warning(e)
|
||
|
||
plugin_signals.task_removed.send_robust(sender=self.__class__, task_id=task_id)
|
||
|
||
def set_failure(self, error_message):
|
||
logger.error("FAILURE FOR {}: {}".format(self, error_message))
|
||
self.last_error = error_message
|
||
self.status = status_codes.FAILED
|
||
self.pending_action = None
|
||
self.save()
|
||
|
||
def find_all_files_matching(self, regex):
|
||
directory = full_task_directory_path(self.id, self.project.id)
|
||
return [os.path.join(directory, f) for f in os.listdir(directory) if
|
||
re.match(regex, f, re.IGNORECASE)]
|
||
|
||
def check_if_canceled(self):
|
||
# Check if task has been canceled/removed
|
||
if Task.objects.only("pending_action").get(pk=self.id).pending_action in [pending_actions.CANCEL,
|
||
pending_actions.REMOVE]:
|
||
raise TaskInterruptedException()
|
||
|
||
def resize_images(self):
|
||
"""
|
||
Destructively resize this task's JPG images while retaining EXIF tags.
|
||
Resulting images are always converted to JPG.
|
||
TODO: add support for tiff files
|
||
:return list containing paths of resized images and resize ratios
|
||
"""
|
||
if self.resize_to < 0:
|
||
logger.warning("We were asked to resize images to {}, this might be an error.".format(self.resize_to))
|
||
return []
|
||
|
||
images_path = self.find_all_files_matching(r'.*\.(jpe?g|tiff?)$')
|
||
total_images = len(images_path)
|
||
resized_images_count = 0
|
||
last_update = 0
|
||
|
||
def callback(retval=None):
|
||
nonlocal last_update
|
||
nonlocal resized_images_count
|
||
nonlocal total_images
|
||
|
||
resized_images_count += 1
|
||
if time.time() - last_update >= 2:
|
||
# Update progress
|
||
Task.objects.filter(pk=self.id).update(resize_progress=(float(resized_images_count) / float(total_images)))
|
||
self.check_if_canceled()
|
||
last_update = time.time()
|
||
|
||
resized_images = list(map(partial(resize_image, resize_to=self.resize_to, done=callback), images_path))
|
||
|
||
Task.objects.filter(pk=self.id).update(resize_progress=1.0)
|
||
|
||
return resized_images
|
||
|
||
def resize_gcp(self, resized_images):
|
||
"""
|
||
Destructively change this task's GCP file (if any)
|
||
by resizing the location of GCP entries.
|
||
:param resized_images: list of objects having "path" and "resize_ratio" keys
|
||
for example [{'path': 'path/to/DJI_0018.jpg', 'resize_ratio': 0.25}, ...]
|
||
:return: path to changed GCP file or None if no GCP file was found/changed
|
||
"""
|
||
gcp_path = self.find_all_files_matching(r'.*\.txt$')
|
||
if len(gcp_path) == 0: return None
|
||
|
||
# Assume we only have a single GCP file per task
|
||
gcp_path = gcp_path[0]
|
||
|
||
image_ratios = {}
|
||
for ri in resized_images:
|
||
image_ratios[os.path.basename(ri['path']).lower()] = ri['resize_ratio']
|
||
|
||
try:
|
||
gcpFile = GCPFile(gcp_path)
|
||
gcpFile.create_resized_copy(gcp_path, image_ratios)
|
||
logger.info("Resized GCP file {}".format(gcp_path))
|
||
return gcp_path
|
||
except Exception as e:
|
||
logger.warning("Could not resize GCP file {}: {}".format(gcp_path, str(e)))
|
||
|
||
|
||
def create_task_directories(self):
|
||
"""
|
||
Create directories for this task (if they don't exist already)
|
||
"""
|
||
assets_dir = self.assets_path("")
|
||
try:
|
||
os.makedirs(assets_dir)
|
||
except OSError as exc: # Python >2.5
|
||
if exc.errno == errno.EEXIST and os.path.isdir(assets_dir):
|
||
pass
|
||
else:
|
||
raise
|