Commit f253ed9a authored by Ivan Tyagov's avatar Ivan Tyagov

Coding styles V2

See merge request nexedi/wendelin!120
parents 40ee4d19 eb371277
......@@ -115,9 +115,9 @@
<key> <string>categories</string> </key>
<value>
<tuple>
<string>specialise/portal_templates/54</string>
<string>resource/portal_workflow/erp5_wendelin_workflow</string>
<string>current_state/portal_workflow/erp5_wendelin_workflow/state_start</string>
<string>specialise/portal_templates/54</string>
</tuple>
</value>
</item>
......@@ -136,9 +136,11 @@
<value>
<object>
<klass>
<global id="1.1" name="DateTime" module="DateTime.DateTime"/>
<global id="1.1" name="_reconstructor" module="copy_reg"/>
</klass>
<tuple>
<global id="1.2" name="DateTime" module="DateTime.DateTime"/>
<global id="1.3" name="object" module="__builtin__"/>
<none/>
</tuple>
<state>
......@@ -170,6 +172,8 @@
<object>
<klass> <reference id="1.1"/> </klass>
<tuple>
<reference id="1.2"/>
<reference id="1.3"/>
<none/>
</tuple>
<state>
......
"""
This script will be called to apply the customization.
"""
This script will be called to apply the customization.
"""
from erp5.component.module.Log import log
# Activate the knowledge pads on portal home to enable later the Wendelin
# Activate the knowledge pads on portal home to enable later the Wendelin
# Information gadget.
portal = context.getPortalObject()
default_site_preference = getattr(portal.portal_preferences,
......@@ -39,7 +39,7 @@ if default_security_model_business_template is not None:
portal_type_instance = getattr(portal.portal_types, portal_type)
print "Updated Role Mappings for %s" %portal_type
portal_type_instance.updateRoleMapping()
# updata local roles (if any)
business_template = context.getSpecialiseValue()
......
......@@ -6,18 +6,18 @@
</pickle>
<pickle>
<dictionary>
<item>
<key> <string>Script_magic</string> </key>
<value> <int>3</int> </value>
</item>
<item>
<key> <string>_bind_names</string> </key>
<value>
<object>
<klass>
<global name="NameAssignments" module="Shared.DC.Scripts.Bindings"/>
<global name="_reconstructor" module="copy_reg"/>
</klass>
<tuple/>
<tuple>
<global name="NameAssignments" module="Shared.DC.Scripts.Bindings"/>
<global name="object" module="__builtin__"/>
<none/>
</tuple>
<state>
<dictionary>
<item>
......
......@@ -6,18 +6,18 @@
</pickle>
<pickle>
<dictionary>
<item>
<key> <string>Script_magic</string> </key>
<value> <int>3</int> </value>
</item>
<item>
<key> <string>_bind_names</string> </key>
<value>
<object>
<klass>
<global name="NameAssignments" module="Shared.DC.Scripts.Bindings"/>
<global name="_reconstructor" module="copy_reg"/>
</klass>
<tuple/>
<tuple>
<global name="NameAssignments" module="Shared.DC.Scripts.Bindings"/>
<global name="object" module="__builtin__"/>
<none/>
</tuple>
<state>
<dictionary>
<item>
......
......@@ -6,18 +6,18 @@
</pickle>
<pickle>
<dictionary>
<item>
<key> <string>Script_magic</string> </key>
<value> <int>3</int> </value>
</item>
<item>
<key> <string>_bind_names</string> </key>
<value>
<object>
<klass>
<global name="NameAssignments" module="Shared.DC.Scripts.Bindings"/>
<global name="_reconstructor" module="copy_reg"/>
</klass>
<tuple/>
<tuple>
<global name="NameAssignments" module="Shared.DC.Scripts.Bindings"/>
<global name="object" module="__builtin__"/>
<none/>
</tuple>
<state>
<dictionary>
<item>
......
......@@ -6,18 +6,18 @@
</pickle>
<pickle>
<dictionary>
<item>
<key> <string>Script_magic</string> </key>
<value> <int>3</int> </value>
</item>
<item>
<key> <string>_bind_names</string> </key>
<value>
<object>
<klass>
<global name="NameAssignments" module="Shared.DC.Scripts.Bindings"/>
<global name="_reconstructor" module="copy_reg"/>
</klass>
<tuple/>
<tuple>
<global name="NameAssignments" module="Shared.DC.Scripts.Bindings"/>
<global name="object" module="__builtin__"/>
<none/>
</tuple>
<state>
<dictionary>
<item>
......
......@@ -11,9 +11,13 @@
<value>
<object>
<klass>
<global name="NameAssignments" module="Shared.DC.Scripts.Bindings"/>
<global name="_reconstructor" module="copy_reg"/>
</klass>
<tuple/>
<tuple>
<global name="NameAssignments" module="Shared.DC.Scripts.Bindings"/>
<global name="object" module="__builtin__"/>
<none/>
</tuple>
<state>
<dictionary>
<item>
......
......@@ -6,18 +6,18 @@
</pickle>
<pickle>
<dictionary>
<item>
<key> <string>Script_magic</string> </key>
<value> <int>3</int> </value>
</item>
<item>
<key> <string>_bind_names</string> </key>
<value>
<object>
<klass>
<global name="NameAssignments" module="Shared.DC.Scripts.Bindings"/>
<global name="_reconstructor" module="copy_reg"/>
</klass>
<tuple/>
<tuple>
<global name="NameAssignments" module="Shared.DC.Scripts.Bindings"/>
<global name="object" module="__builtin__"/>
<none/>
</tuple>
<state>
<dictionary>
<item>
......
......@@ -6,18 +6,18 @@
</pickle>
<pickle>
<dictionary>
<item>
<key> <string>Script_magic</string> </key>
<value> <int>3</int> </value>
</item>
<item>
<key> <string>_bind_names</string> </key>
<value>
<object>
<klass>
<global name="NameAssignments" module="Shared.DC.Scripts.Bindings"/>
<global name="_reconstructor" module="copy_reg"/>
</klass>
<tuple/>
<tuple>
<global name="NameAssignments" module="Shared.DC.Scripts.Bindings"/>
<global name="object" module="__builtin__"/>
<none/>
</tuple>
<state>
<dictionary>
<item>
......
......@@ -11,9 +11,13 @@
<value>
<object>
<klass>
<global name="NameAssignments" module="Shared.DC.Scripts.Bindings"/>
<global name="_reconstructor" module="copy_reg"/>
</klass>
<tuple/>
<tuple>
<global name="NameAssignments" module="Shared.DC.Scripts.Bindings"/>
<global name="object" module="__builtin__"/>
<none/>
</tuple>
<state>
<dictionary>
<item>
......
......@@ -11,9 +11,13 @@
<value>
<object>
<klass>
<global name="NameAssignments" module="Shared.DC.Scripts.Bindings"/>
<global name="_reconstructor" module="copy_reg"/>
</klass>
<tuple/>
<tuple>
<global name="NameAssignments" module="Shared.DC.Scripts.Bindings"/>
<global name="object" module="__builtin__"/>
<none/>
</tuple>
<state>
<dictionary>
<item>
......
......@@ -6,18 +6,18 @@
</pickle>
<pickle>
<dictionary>
<item>
<key> <string>Script_magic</string> </key>
<value> <int>3</int> </value>
</item>
<item>
<key> <string>_bind_names</string> </key>
<value>
<object>
<klass>
<global name="NameAssignments" module="Shared.DC.Scripts.Bindings"/>
<global name="_reconstructor" module="copy_reg"/>
</klass>
<tuple/>
<tuple>
<global name="NameAssignments" module="Shared.DC.Scripts.Bindings"/>
<global name="object" module="__builtin__"/>
<none/>
</tuple>
<state>
<dictionary>
<item>
......
from erp5.component.module.Log import log
from Products.ZSQLCatalog.SQLCatalog import Query, SimpleQuery
from Products.ZSQLCatalog.SQLCatalog import Query
import hashlib
CHUNK_SIZE = 200000
......@@ -14,7 +14,7 @@ def getHash(data_stream):
end_offset = n_chunk*chunk_size+chunk_size
try:
data_stream_chunk = ''.join(data_stream.readChunkList(start_offset, end_offset))
except:
except Exception:
# data stream is empty
data_stream_chunk = ""
hash_md5.update(data_stream_chunk)
......@@ -24,7 +24,6 @@ def getHash(data_stream):
def isInterruptedAbandonedSplitIngestion(reference):
from DateTime import DateTime
now = DateTime()
day_hours = 1.0/24/60*60*24
# started split data ingestions for reference
catalog_kw = {'portal_type': 'Data Ingestion',
......@@ -90,8 +89,8 @@ for data_ingestion in portal_catalog(portal_type = "Data Ingestion",
portal.data_stream_module.deleteContent(data_stream.getId())
if last_data_stream_id.endswith(reference_end_split):
portal.ERP5Site_invalidateSplitIngestions(data_ingestion.getReference(), success=True)
hash = getHash(full_data_stream)
full_data_stream.setVersion(hash)
full_data_stream_hash = getHash(full_data_stream)
full_data_stream.setVersion(full_data_stream_hash)
if full_data_stream.getValidationState() != "validated":
full_data_stream.validate()
related_split_ingestions = portal_catalog(portal_type = "Data Ingestion",
......
......@@ -44,7 +44,7 @@ if data_ingestion != None:
# previous ingestion was interrumped
log(''.join(["[WARNING] User has restarted an interrumpted ingestion for reference ", data_ingestion.getReference(), ". Previous split ingestions will be discarted and full ingestion restarted."]))
portal.ERP5Site_invalidateSplitIngestions(data_ingestion.getReference(), success=False)
except:
except Exception:
pass
# the ingestion attemp corresponds to a split ingestion in course, accept
return FALSE
......
from DateTime import DateTime
portal = context.getPortalObject()
portal_catalog = portal.portal_catalog
from erp5.component.module.Log import log
now = DateTime()
query_dict = {
"portal_type": "Data Ingestion Line",
......
from Products.ZSQLCatalog.SQLCatalog import Query, SimpleQuery, ComplexQuery
from Products.ZSQLCatalog.SQLCatalog import Query, ComplexQuery
portal = context.getPortalObject()
portal_catalog = portal.portal_catalog
......
import json
portal = context.getPortalObject()
dict = {'invalid_suffix':portal.ERP5Site_getIngestionReferenceDictionary()['invalid_suffix'],
dictionary = {'invalid_suffix':portal.ERP5Site_getIngestionReferenceDictionary()['invalid_suffix'],
'split_end_suffix':portal.ERP5Site_getIngestionReferenceDictionary()['split_end_suffix'],
'single_end_suffix':portal.ERP5Site_getIngestionReferenceDictionary()['single_end_suffix'],
'split_first_suffix':portal.ERP5Site_getIngestionReferenceDictionary()['split_first_suffix'],
......@@ -10,4 +10,4 @@ dict = {'invalid_suffix':portal.ERP5Site_getIngestionReferenceDictionary()['inva
'reference_length':portal.ERP5Site_getIngestionReferenceDictionary()['reference_length'],
'invalid_chars':portal.ERP5Site_getIngestionReferenceDictionary()['invalid_chars'],
}
return json.dumps(dict)
return json.dumps(dictionary)
portal = context.getPortalObject()
portal_catalog = portal.portal_catalog
data_set = portal.data_set_module.get(reference)
if data_set is not None:
......
from Products.ZSQLCatalog.SQLCatalog import Query, SimpleQuery, ComplexQuery
from Products.ZSQLCatalog.SQLCatalog import Query, ComplexQuery
portal = context.getPortalObject()
portal_catalog = portal.portal_catalog
......@@ -16,5 +16,5 @@ for document in portal_catalog(**kw_dict):
portal.ERP5Site_invalidateReference(document)
try:
document.invalidate()
except:
except Exception:
pass # fails if it's already invalidated, draft or if it doens't allow invalidation (e.g. DI)
......@@ -20,11 +20,11 @@ for data_set in portal_catalog(portal_type="Data Set", **catalog_kw):
portal.ERP5Site_invalidateIngestionObjects(data_stream.getReference())
try:
data_stream.invalidate()
except:
except Exception:
pass # fails if it's already invalidated, draft or if it doens't allow invalidation (e.g. DI)
portal.ERP5Site_invalidateReference(data_set)
try:
data_set.invalidate()
except:
except Exception:
pass # fails if it's already invalidated, draft or if it doens't allow invalidation (e.g. DI)
return printed
......@@ -79,5 +79,5 @@ if not batch_mode:
return portal.Base_redirect(form_id='login_form',
keep_items = dict(portal_status_message=context.Base_translateString(message_str)))
else:
return json.dumps({'msg': message_str,
return json.dumps({'msg': message_str,
'code':0})
......@@ -2,7 +2,6 @@ import base64
import json
portal = context.getPortalObject()
portal_catalog = portal.portal_catalog
request = context.REQUEST
data_chunk = request.get('data_chunk')
......@@ -11,10 +10,10 @@ data_set = portal.data_set_module.get(dataset)
if data_set is not None:
decoded = base64.b64decode(data_chunk)
data_set.setDescription(decoded)
dict = { 'status_code': 0, 'message': 'Dataset description successfully set.' }
response = { 'status_code': 0, 'message': 'Dataset description successfully set.' }
else:
message = "No remote dataset found for reference '%s'" % (dataset)
dict = { 'status_code': 1, 'message': message }
response = { 'status_code': 1, 'message': message }
context.logEntry(message)
return json.dumps(dict)
return json.dumps(response)
......@@ -103,7 +103,7 @@ class TestDataIngestion(SecurityTestCase):
def stepIngest(self, extension, delimiter, randomize_ingestion_reference=False, data_set_reference=False):
file_name = "file_name.csv"
reference = self.getRandomReference()
array = [[random.random() for i in range(self.CHUNK_SIZE_CSV + 10)] for j in range(self.CHUNK_SIZE_CSV + 10)]
array = [[random.random() for _ in range(self.CHUNK_SIZE_CSV + 10)] for _ in range(self.CHUNK_SIZE_CSV + 10)]
np.savetxt(file_name, array, delimiter=delimiter)
chunk = []
with open(file_name, 'r') as csv_file:
......
object = state_change['object']
object.Base_checkConsistency()
state_change_object = state_change["object"]
state_change_object.Base_checkConsistency()
erp5_wendelin
erp5_credential
erp5_credential
\ No newline at end of file
import warnings
import numpy as np
from keras import backend as K
from keras import __version__ as keras_version
from keras.models import Sequential
from keras.models import model_from_config
from keras.optimizers import optimizer_from_config
from keras import optimizers
from keras import backend as K # pylint:disable=import-error
from keras import __version__ as keras_version # pylint:disable=import-error
from keras.models import Sequential # pylint:disable=import-error
from keras.models import model_from_config # pylint:disable=import-error
from keras.optimizers import optimizer_from_config # pylint:disable=import-error
from keras import optimizers # pylint:disable=import-error
def save_model(model, model_store=None):
data = {}
......@@ -179,7 +179,6 @@ def load_model(data):
else:
model._make_train_function()
optimizer_weights_dict = data['optimizer_weights']
optimizer_weight_names = optimizer_weights_dict['weight_names']
optimizer_weight_values = optimizer_weights_dict['weight_values']
model.optimizer.set_weights(optimizer_weight_values)
return model
\ No newline at end of file
import numpy as np
import time
import sys
import transaction
class Progbar(object):
def output(self, data):
self.output1(str(data))
def __init__(self, target, width=30, verbose=1, interval=0.01, output=None):
"""Dislays a progress bar.
# Arguments:
target: Total number of steps expected.
interval: Minimum visual progress update interval (in seconds).
"""
self.width = width
self.target = target
self.sum_values = {}
self.unique_values = []
self.start = time.time()
self.last_update = 0
self.interval = interval
self.total_width = 0
self.seen_so_far = 0
self.verbose = verbose
self.output1 = output
def update(self, current, values=[], force=False):
"""Updates the progress bar.
# Arguments
current: Index of current step.
values: List of tuples (name, value_for_last_step).
The progress bar will display averages for these values.
force: Whether to force visual progress update.
"""
for k, v in values:
if k not in self.sum_values:
self.sum_values[k] = [v * (current - self.seen_so_far),
current - self.seen_so_far]
self.unique_values.append(k)
else:
self.sum_values[k][0] += v * (current - self.seen_so_far)
self.sum_values[k][1] += (current - self.seen_so_far)
self.seen_so_far = current
now = time.time()
if self.verbose == 1:
if not force and (now - self.last_update) < self.interval:
return
prev_total_width = self.total_width
#self.output('\b' * prev_total_width)
self.output('\r')
numdigits = int(np.floor(np.log10(self.target))) + 1
barstr = '%%%dd/%%%dd [' % (numdigits, numdigits)
bar = barstr % (current, self.target)
prog = float(current) / self.target
prog_width = int(self.width * prog)
if prog_width > 0:
bar += ('=' * (prog_width - 1))
if current < self.target:
bar += '>'
else:
bar += '='
bar += ('.' * (self.width - prog_width))
bar += ']'
self.output(bar)
self.total_width = len(bar)
if current:
time_per_unit = (now - self.start) / current
else:
time_per_unit = 0
eta = time_per_unit * (self.target - current)
info = ''
if current < self.target:
info += ' - ETA: %ds' % eta
def output(self, data):
self.output1(str(data))
def __init__(self, target, width=30, verbose=1, interval=0.01, output=None):
"""Dislays a progress bar.
# Arguments:
target: Total number of steps expected.
interval: Minimum visual progress update interval (in seconds).
"""
self.width = width
self.target = target
self.sum_values = {}
self.unique_values = []
self.start = time.time()
self.last_update = 0
self.interval = interval
self.total_width = 0
self.seen_so_far = 0
self.verbose = verbose
self.output1 = output
def update(self, current, values=None, force=False):
"""Updates the progress bar.
# Arguments
current: Index of current step.
values: List of tuples (name, value_for_last_step).
The progress bar will display averages for these values.
force: Whether to force visual progress update.
"""
if values in None:
values = []
for k, v in values:
if k not in self.sum_values:
self.sum_values[k] = [v * (current - self.seen_so_far),
current - self.seen_so_far]
self.unique_values.append(k)
else:
self.sum_values[k][0] += v * (current - self.seen_so_far)
self.sum_values[k][1] += (current - self.seen_so_far)
self.seen_so_far = current
now = time.time()
if self.verbose == 1:
if not force and (now - self.last_update) < self.interval:
return
prev_total_width = self.total_width
#self.output('\b' * prev_total_width)
self.output('\r')
numdigits = int(np.floor(np.log10(self.target))) + 1
barstr = '%%%dd/%%%dd [' % (numdigits, numdigits)
bar = barstr % (current, self.target)
prog = float(current) / self.target
prog_width = int(self.width * prog)
if prog_width > 0:
bar += ('=' * (prog_width - 1))
if current < self.target:
bar += '>'
else:
bar += '='
bar += ('.' * (self.width - prog_width))
bar += ']'
self.output(bar)
self.total_width = len(bar)
if current:
time_per_unit = (now - self.start) / current
else:
time_per_unit = 0
eta = time_per_unit * (self.target - current)
info = ''
if current < self.target:
info += ' - ETA: %ds' % eta
else:
info += ' - %ds' % (now - self.start)
for k in self.unique_values:
info += ' - %s:' % k
if isinstance(self.sum_values[k], list):
avg = self.sum_values[k][0] / max(1, self.sum_values[k][1])
if abs(avg) > 1e-3:
info += ' %.4f' % avg
else:
info += ' - %ds' % (now - self.start)
for k in self.unique_values:
info += ' - %s:' % k
if isinstance(self.sum_values[k], list):
avg = self.sum_values[k][0] / max(1, self.sum_values[k][1])
if abs(avg) > 1e-3:
info += ' %.4f' % avg
else:
info += ' %.4e' % avg
else:
info += ' %s' % self.sum_values[k]
self.total_width += len(info)
if prev_total_width > self.total_width:
info += ((prev_total_width - self.total_width) * ' ')
self.output(info)
if current >= self.target:
self.output('\r\n')
if self.verbose == 2:
if current >= self.target:
info = '%ds' % (now - self.start)
for k in self.unique_values:
info += ' - %s:' % k
avg = self.sum_values[k][0] / max(1, self.sum_values[k][1])
if avg > 1e-3:
info += ' %.4f' % avg
else:
info += ' %.4e' % avg
self.output(info + "\r\n")
self.last_update = now
def add(self, n, values=[]):
self.update(self.seen_so_far + n, values)
from keras.callbacks import ProgbarLogger as OriginalProgbarLogger
info += ' %.4e' % avg
else:
info += ' %s' % self.sum_values[k]
self.total_width += len(info)
if prev_total_width > self.total_width:
info += ((prev_total_width - self.total_width) * ' ')
self.output(info)
if current >= self.target:
self.output('\r\n')
if self.verbose == 2:
if current >= self.target:
info = '%ds' % (now - self.start)
for k in self.unique_values:
info += ' - %s:' % k
avg = self.sum_values[k][0] / max(1, self.sum_values[k][1])
if avg > 1e-3:
info += ' %.4f' % avg
else:
info += ' %.4e' % avg
self.output(info + "\r\n")
self.last_update = now
def add(self, n, values=None):
if values is None:
values = []
self.update(self.seen_so_far + n, values)
from keras.callbacks import ProgbarLogger as OriginalProgbarLogger # pylint:disable=import-error
class ProgbarLogger(OriginalProgbarLogger):
......@@ -162,10 +168,10 @@ def train(portal):
# 1. you can use keras.
# 2. you can save trained model.
# 3. you can load trained model.
from cStringIO import StringIO
import tensorflow as tf
# from cStringIO import StringIO
import tensorflow as tf # pylint:disable=import-error
sess = tf.Session()
from keras import backend as K
from keras import backend as K # pylint:disable=import-error
K.set_session(sess)
stream = portal.data_stream_module.wendelin_examples_keras_log
......@@ -176,8 +182,8 @@ def train(portal):
if saved_model_data is not None:
model = portal.keras_load_model(saved_model_data)
else:
from keras.models import Sequential
from keras.layers import Dense
from keras.models import Sequential # pylint:disable=import-error
from keras.layers import Dense # pylint:disable=import-error
model = Sequential()
model.add(Dense(12, input_dim=8, init='uniform', activation='relu'))
model.add(Dense(8, init='uniform', activation='relu'))
......
from keras.applications.vgg16 import VGG16, preprocess_input, decode_predictions
from keras.preprocessing import image
from keras.applications.vgg16 import VGG16, preprocess_input, decode_predictions # pylint:disable=import-error
from keras.preprocessing import image # pylint:disable=import-error
import numpy as np
from cStringIO import StringIO
import PIL.Image
......
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