def batch_images(context, request,
get_image_info=get_image_info, # unittest
get_images_batch=get_images_batch): # unittest
# Find query parameters based on the 'source' param,
# which signifies the selection index of the source button
# in the imagedrawer dialog.
source = int(request.params.get('source', '0'))
if source == 0: # My Recent
creator = 'admin'
community_path = None
elif source == 1: # This Community
creator = None
community = find_community(context)
# batching api requires the community path
community_path = model_path(community)
else: # All Karl
creator = None
community_path = None
# batching
# Decide start and size here, don't let the lower levels
# apply their default. This allows us to enforce
# a MINIMAL_BATCH size.
batch_start = int(request.params.get('start', '0'))
batch_size = max(int(request.params.get('limit', '0')), MINIMAL_BATCH)
# there is a minimal batch size to enforce, if the client
# does not ask for one
# Just pass the values to lower levels where sensible
# defaults will be applied.
sort_index = request.params.get('sort_on', None)
reverse = request.params.get('reverse', None)
search_params = dict(
creator=creator,
community=community_path,
batch_start=batch_start,
batch_size=batch_size,
)
if sort_index:
search_params['sort_index'] = sort_index
if reverse:
search_params['reverse'] = bool(int(reverse))
batch_info = get_images_batch(
context,
request,
**search_params
)
records = [get_image_info(image, request)
for image in batch_info['entries']]
return dict(
records=records,
start=batch_info['batch_start'],
totalRecords=batch_info['total'],
)
def batch_images(context, request,
get_image_info=get_image_info, # unittest
get_images_batch=get_images_batch): # unittest
include_image_url = request.params.get('include_image_url', None)
# include_image_url is a special case.
include_info = None
if include_image_url is not None:
# Note, we must use the path only, as IE submits the full domain
# and without the next line IE would fail.
path = urlparse.urlparse(include_image_url)[2]
include_context = traverse(context, path)['context']
if IImage.providedBy(include_context):
# We have a good image to include.
include_info = get_image_info(include_context, request)
# Find query parameters based on the 'source' param,
# which signifies the selection index of the source button
# in the imagedrawer dialog.
source = request.params.get('source')
assert source in ('myrecent', 'thiscommunity', 'allkarl')
if source == 'myrecent':
creator = authenticated_userid(request)
community_path = None
elif source == 'thiscommunity':
creator = None
community = find_community(context)
# batching api requires the community path
community_path = resource_path(community)
else: # All Karl
creator = None
community_path = None
# batching
# Decide start and size here, don't let the lower levels
# apply their default. This allows us to enforce
# a MINIMAL_BATCH size.
batch_start = int(request.params.get('start', '0'))
batch_size = int(request.params.get('limit', '0'))
# there is a minimal batch size to enforce, if the client
# does not ask for one
# Just pass the values to lower levels where sensible
# defaults will be applied.
sort_index = request.params.get('sort_on', None)
reverse = request.params.get('reverse', None)
# XXX include_image will now be inserted in the first
# position, as extra image.
insert_extra = False
if include_info is not None:
if batch_start == 0:
batch_size -= 1
insert_extra = True
else:
batch_start -= 1
# Enforce the minimal batch size
batch_size = max(batch_size, MINIMAL_BATCH)
search_params = dict(
creator=creator,
community=community_path,
batch_start=batch_start,
batch_size=batch_size,
)
if sort_index:
search_params['sort_index'] = sort_index
if reverse:
search_params['reverse'] = bool(int(reverse))
batch_info = get_images_batch(
context,
request,
**search_params
)
records = [get_image_info(image, request)
for image in batch_info['entries']]
start = batch_info['batch_start']
totalRecords = batch_info['total']
# add the fake included image
if include_info is not None:
totalRecords += 1
if insert_extra:
records.insert(0, include_info)
else:
start += 1
return dict(
records = records,
start = start,
totalRecords = totalRecords,
)
def batch_images(context, request,
get_image_info=get_image_info, # unittest
get_images_batch=get_images_batch): # unittest
include_image_url = request.params.get('include_image_url', None)
# include_image_url is a special case.
include_info = None
if include_image_url is not None:
# Note, we must use the path only, as IE submits the full domain
# and without the next line IE would fail.
path = urlparse.urlparse(include_image_url)[2]
include_context = traverse(context, path)['context']
if IImage.providedBy(include_context):
# We have a good image to include.
include_info = get_image_info(include_context, request)
# Find query parameters based on the 'source' param,
# which signifies the selection index of the source button
# in the imagedrawer dialog.
source = request.params.get('source')
assert source in ('myrecent', 'thiscommunity', 'allkarl')
if source == 'myrecent':
creator = authenticated_userid(request)
community_path = None
elif source == 'thiscommunity':
creator = None
community = find_community(context)
# batching api requires the community path
community_path = resource_path(community)
else: # All Karl
creator = None
community_path = None
# batching
# Decide start and size here, don't let the lower levels
# apply their default. This allows us to enforce
# a MINIMAL_BATCH size.
batch_start = int(request.params.get('start', '0'))
batch_size = int(request.params.get('limit', '0'))
# there is a minimal batch size to enforce, if the client
# does not ask for one
# Just pass the values to lower levels where sensible
# defaults will be applied.
sort_index = request.params.get('sort_on', None)
reverse = request.params.get('reverse', None)
# XXX include_image will now be inserted in the first
# position, as extra image.
insert_extra = False
if include_info is not None:
if batch_start == 0:
batch_size -= 1
insert_extra = True
else:
batch_start -= 1
# Enforce the minimal batch size
batch_size = max(batch_size, MINIMAL_BATCH)
search_params = dict(
creator=creator,
community=community_path,
batch_start=batch_start,
batch_size=batch_size,
)
if sort_index:
search_params['sort_index'] = sort_index
if reverse:
search_params['reverse'] = bool(int(reverse))
batch_info = get_images_batch(
context,
request,
**search_params
)
records = [get_image_info(image, request)
for image in batch_info['entries']]
start = batch_info['batch_start']
totalRecords = batch_info['total']
# add the fake included image
if include_info is not None:
totalRecords += 1
if insert_extra:
records.insert(0, include_info)
else:
start += 1
return dict(
records = records,
start = start,
totalRecords = totalRecords,
)
def _call_fut(self, context, request, **search_params):
from karl.utilities.image import get_images_batch
return get_images_batch(context, request, **search_params)
def _call_fut(self, context, request, **search_params):
from karl.utilities.image import get_images_batch
return get_images_batch(context, request, **search_params)
