datajoint-python
datajoint-python copied to clipboard
datajoint
Relational data pipelines for the science lab
For parent tables with attributes of adapted type, the context is required to find the adapter object. But when declare tables with `dj.FreeTable`, context was not provided. This bug prevents...
An example use-case is to work with NWB files more elegantly. For a particular NWB object, we need to store 2 things: `object_id` - varchar(36) and `nwb_file` - filepath@store Currently...
When an attachment attribute is declared with type `attach@storename` or a blob attribute with type `blob@store`, their values are stored as files in an external store (e.g. filesystem or S3)...
Currently `s3` allows manipulation of files in Amazon S3 stores, and the `ExternalTable` class has conditionals for local versus AWS locations. Something similar for [Google Cloud Storage](https://cloud.google.com/storage) ought to be...
When I fetch an attribute defined as boolean, it is returned as np.int64, it would be nice if it was returned as boolean. May just avoid some bugs. They can...
For tables with an AUTO_INCREMENT primary key, there doesn't seem to be a way to access the value of the auto-incremented ID that was generated when inserting a tuple. For...
Each external store could have a default download path to be specified in its config so whenever attachments are fetched and downloaded they automatically go into the right default folder....
When violating foreign key constraints, the user is presented with low-level SQL details of the constraint which is violated. Example: ``` IntegrityError(1451, 'Cannot delete or update a parent row: a...
Both `numpy` and MATLAB now support half-precision `float16`. https://www.mathworks.com/help/fixedpoint/ref/half.html https://docs.scipy.org/doc/numpy-1.13.0/user/basics.types.html Add support for `float16` scalars and numeric arrays.
Is there a plan to allow for pickle serialization? I have an implementation here: https://github.com/gucky92/datajoint-python/commit/c85f8ec754694f2901495419e759b91a28704799 I simply added pickle dumps and loads, and used the existing infrastructure for byte serialization....
