Odoo Server Error:
Traceback (most recent call last):
File "/usr/lib/python2.7/dist-packages/openerp/http.py", line 648, in _handle_exception
return super(JsonRequest, self)._handle_exception(exception)
File "/usr/lib/python2.7/dist-packages/openerp/http.py", line 685, in dispatch
．．．．．．．．．．．．．．．
return api.model(lambda model: field.convert_to_write(value(model)))
File "/usr/lib/python2.7/dist-packages/openerp/fields.py", line 1719, in convert_to_write
return value.id
AttributeError: 'NoneType' object has no attribute 'id'
I get this error everytime I install the system app. Why am I encountering it and how can I avoid it?
Related
I am trying to install "Gantt chart" in Odoo in my projects and I got this error, anyone have a solution?
Traceback (most recent call last):
File "/home/odooadmin/src/odoo/odoo/http.py", line 639, in _handle_exception
return super(JsonRequest, self)._handle_exception(exception)
File "/home/odooadmin/src/odoo/odoo/http.py", line 315, in _handle_exception
raise exception.with_traceback(None) from new_cause
TypeError: unsupported operand type(s) for -: 'datetime.date' and 'datetime.datetime'
I'm testing this locally where I have a ~/.aws/config file.
~/.aws/config looks some thing like:
[profile a]
...
[profile b]
...
I also have a AWS_PROFILE environmental variable set as "a".
I would like to read a file in which is accessible with profile b using pandas.
I am able to access it through s3fs by doing:
import s3fs
fs = s3fs.S3FileSystem(profile="b")
fs.get("BUCKET/FILE.parquet", "FILE.parquet")
pd.read_parquet("FILE.parquet")
However, if I try to pass this to pd.read_parquet using storage_options I get a PermissionError: Forbidden.
pd.read_parquet(
"s3://BUCKET/FILE.parquet",
storage_options={"profile": "b"},
)
full Traceback below
Traceback (most recent call last):
File "/home/ray/local/bin/anaconda3/envs/main/lib/python3.8/site-packages/s3fs/core.py", line 233, in _call_s3
out = await method(**additional_kwargs)
File "/home/ray/local/bin/anaconda3/envs/main/lib/python3.8/site-packages/aiobotocore/client.py", line 154, in _make_api_call
raise error_class(parsed_response, operation_name)
botocore.exceptions.ClientError: An error occurred (403) when calling the HeadObject operation: Forbidden
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/ray/local/bin/anaconda3/envs/main/lib/python3.8/site-packages/pandas/io/parquet.py", line 459, in read_parquet
return impl.read(
File "/home/ray/local/bin/anaconda3/envs/main/lib/python3.8/site-packages/pandas/io/parquet.py", line 221, in read
return self.api.parquet.read_table(
File "/home/ray/local/bin/anaconda3/envs/main/lib/python3.8/site-packages/pyarrow/parquet.py", line 1672, in read_table
dataset = _ParquetDatasetV2(
File "/home/ray/local/bin/anaconda3/envs/main/lib/python3.8/site-packages/pyarrow/parquet.py", line 1504, in __init__
if filesystem.get_file_info(path_or_paths).is_file:
File "pyarrow/_fs.pyx", line 438, in pyarrow._fs.FileSystem.get_file_info
File "pyarrow/error.pxi", line 122, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/_fs.pyx", line 1004, in pyarrow._fs._cb_get_file_info
File "/home/ray/local/bin/anaconda3/envs/main/lib/python3.8/site-packages/pyarrow/fs.py", line 226, in get_file_info
info = self.fs.info(path)
File "/home/ray/local/bin/anaconda3/envs/main/lib/python3.8/site-packages/fsspec/asyn.py", line 72, in wrapper
return sync(self.loop, func, *args, **kwargs)
File "/home/ray/local/bin/anaconda3/envs/main/lib/python3.8/site-packages/fsspec/asyn.py", line 53, in sync
raise result[0]
File "/home/ray/local/bin/anaconda3/envs/main/lib/python3.8/site-packages/fsspec/asyn.py", line 20, in _runner
result[0] = await coro
File "/home/ray/local/bin/anaconda3/envs/main/lib/python3.8/site-packages/s3fs/core.py", line 911, in _info
out = await self._call_s3(
File "/home/ray/local/bin/anaconda3/envs/main/lib/python3.8/site-packages/s3fs/core.py", line 252, in _call_s3
raise translate_boto_error(err)
PermissionError: Forbidden
Note: there is an old question somewhat related to this but it didn't help: How to read parquet file from s3 using dask with specific AWS profile
You just need to add the following argument to the function:
storage_options=dict(profile='your_profile_name')
Hence the read statement is:
pd.read_parquet("s3://your_bucket",storage_options=dict(profile='your_profile_name'))
I am using hmmlearn library to create HMM. While running the code it gave an error ttributeError: 'module' object has no attribute 'broadcast_to'.
I am running GMMHMM as
model1 = GMMHMM(n_components=4, n_mix=64, covariance_type='diag', n_iter=1000, min_covar=0.001, startprob_prior=1.0, transmat_prior=1.0, weights_prior=1.0, means_prior=0.0, means_weight=0.0, covars_prior=None, covars_weight=None, algorithm='viterbi', random_state=None, tol=0.01, verbose=False, params='stmcw', init_params='stmcw').fit(X)
and the error traceback is
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "build/bdist.linux-i686/egg/hmmlearn/base.py", line 424, in fit
File "build/bdist.linux-i686/egg/hmmlearn/hmm.py", line 609, in _init
File "build/bdist.linux-i686/egg/hmmlearn/hmm.py", line 677, in
_fix_priors_shape
AttributeError: 'module' object has no attribute 'broadcast_to'
I figured out that it is because of numpy. How can we fix this
Make sure you have at least NumPy 1.10.0, because np.broadcast_to is not available for newer versions.
I encountered the error:
AttributeError: 'NoneType' object has no attribute 'bucketize'
The full error is as follows:
Traceback (most recent call last):
File "wide_n_deep_tutorial_1.py", line 214, in <module>
train_and_eval()
File "wide_n_deep_tutorial_1.py", line 203, in train_and_eval
m.fit(input_fn=lambda: input_fn(df_train), steps=FLAGS.train_steps)
File "C:\Python35\lib\site-packages\tensorflow\contrib\learn\python\learn\estimators\dnn_linear_combined.py", line 711, in fit
max_steps=max_steps)
File "C:\Python35\lib\site-packages\tensorflow\python\util\deprecation.py", line 191, in new_func
return func(*args, **kwargs)
File "C:\Python35\lib\site-packages\tensorflow\contrib\learn\python\learn\estimators\estimator.py", line 355, in fit
max_steps=max_steps)
File "C:\Python35\lib\site-packages\tensorflow\contrib\learn\python\learn\estimators\estimator.py", line 699, in _train_model
train_ops = self._get_train_ops(features, labels)
File "C:\Python35\lib\site-packages\tensorflow\contrib\learn\python\learn\estimators\estimator.py", line 1052, in _get_train_ops
return self._call_model_fn(features, labels, model_fn_lib.ModeKeys.TRAIN)
File "C:\Python35\lib\site-packages\tensorflow\contrib\learn\python\learn\estimators\estimator.py", line 1019, in _call_model_fn
params=self.params)
File "C:\Python35\lib\site-packages\tensorflow\contrib\learn\python\learn\estimators\dnn_linear_combined.py", line 504, in _dnn_linear_combined_model_fn
scope=scope)
File "C:\Python35\lib\site-packages\tensorflow\contrib\layers\python\layers\feature_column_ops.py", line 526, in weighted_sum_from_feature_columns
transformed_tensor = transformer.transform(column)
File "C:\Python35\lib\site-packages\tensorflow\contrib\layers\python\layers\feature_column_ops.py", line 869, in transform
feature_column.insert_transformed_feature(self._columns_to_tensors)
File "C:\Python35\lib\site-packages\tensorflow\contrib\layers\python\layers\feature_column.py", line 1489, in insert_transformed_feature
name="bucketize")
File "C:\Python35\lib\site-packages\tensorflow\contrib\layers\python\ops\bucketization_op.py", line 48, in bucketize
return _bucketization_op.bucketize(input_tensor, boundaries, name=name)
AttributeError: 'NoneType' object has no attribute 'bucketize'
I got the same issue, it seems that on windows, we just got None, sourcecode,
try to run this code on linux, or try to remove the bucketization and the column crossing, for example. change the line:
flags.DEFINE_string("model_type","wide_n_deep","valid model types:{'wide','deep', 'wide_n_deep'")
to
flags.DEFINE_string("model_type","deep","valid model types:{'wide','deep', 'wide_n_deep'")
follow this issue for update: issue
I am trying to get familiar with the feedparser library, but I don't seem to be able to access the content attribute of entries in the feedparser object:
d = feedparser.parse('http://www.reddit.com/r/python/.rss')
post = d.entries[2]
post.content
the above code block gives me this error:
Traceback (most recent call last):
File "C:\Python34\lib\site-packages\feedparser.py", line 414, in __getattr__
return self.__getitem__(key)
File "C:\Python34\lib\site-packages\feedparser.py", line 375, in __getitem__
return dict.__getitem__(self, key)
KeyError: 'content'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "<pyshell#87>", line 1, in <module>
content = post.content[0].value
File "C:\Python34\lib\site-packages\feedparser.py", line 416, in __getattr__
raise AttributeError("object has no attribute '%s'" % key)
AttributeError: object has no attribute 'content'
Just do a print(post) and you will probably see that it doesn't have a content attribute.
RSS feeds do not guarantee that it will have one.