AllAccepted answers
Evgeny Shvarov · Apr 22, 2019

Thanks, Ed!

I placed iscpython.so file into the repo floder and this helped - docker-compose build worked smoothly and container started.

So I managed to build this with  IRIS Community Edition, though you need to go directly to PYTHON namespace to make it work - class mapping is not available on IRIS CE unfortunately.

Anyway, python in container is callable from IRIS:

Namespace: 
You're in namespace USER
Default directory is /usr/irissys/mgr/user/
USER>zn "PYTHON"

PYTHON>set sc = ##class(isc.py.Callout).Setup()

PYTHON>set sc = ##class(isc.py.Main).SimpleString("x='Hello from Python'", "x", , .x)

PYTHON>write x
Hello from Python
PYTHON>set sc = ##class(isc.py.Callout).Finalize()

PYTHON>set sc = ##class(isc.py.Callout).Unload()

PYTHON>
Evgeny Shvarov · Apr 21, 2019

Tried to do a docker-compose locally and got failed. Here is the part of trace:

+ python get-pip.py --disable-pip-version-check --no-cache-dir pip==19.0.3
Collecting pip==19.0.3
  Downloading https://files.pythonhosted.org/packages/d8/f3/413bab4ff08e1fc4828dfc59996d721917df8e8583ea85385d51125dceff/pip-19.0.3-py2.py3-none-any.whl (1.4MB)
Collecting setuptools
  Downloading https://files.pythonhosted.org/packages/c8/b0/cc6b7ba28d5fb790cf0d5946df849233e32b8872b6baca10c9e002ff5b41/setuptools-41.0.0-py2.py3-none-any.whl (575kB)
Collecting wheel
  Downloading https://files.pythonhosted.org/packages/96/ba/a4702cbb6a3a485239fbe9525443446203f00771af9ac000fa3ef2788201/wheel-0.33.1-py2.py3-none-any.whl
Installing collected packages: pip, setuptools, wheel
Successfully installed pip-19.0.3 setuptools-41.0.0 wheel-0.33.1
+ pip --version
pip 19.0.3 from /usr/local/lib/python3.6/site-packages/pip (python 3.6)
+ find /usr/local -depth ( ( -type d -a ( -name test -o -name tests ) ) -o ( -type f -a ( -name *.pyc -o -name *.pyo ) ) ) -exec rm -rf {} +
+ rm -f get-pip.py
Removing intermediate container 21587d33a883
 ---> 5be4246c2aad
Step 13/19 : RUN pip install pandas matplotlib seaborn numpy dill
 ---> Running in ade32bf9dd2c
Collecting pandas
  Downloading https://files.pythonhosted.org/packages/19/74/e50234bc82c553fecdbd566d8650801e3fe2d6d8c8d940638e3d8a7c5522/pandas-0.24.2-cp36-cp36m-manylinux1_x86_64.whl (10.1MB)
Collecting matplotlib
  Downloading https://files.pythonhosted.org/packages/e9/69/f5e05f578585ed9935247be3788b374f90701296a70c8871bcd6d21edb00/matplotlib-3.0.3-cp36-cp36m-manylinux1_x86_64.whl (13.0MB)
Exception:
Traceback (most recent call last):
  File "/usr/local/lib/python3.6/site-packages/pip/_vendor/urllib3/response.py", line 360, in _error_catcher
    yield
  File "/usr/local/lib/python3.6/site-packages/pip/_vendor/urllib3/response.py", line 442, in read
    data = self._fp.read(amt)
  File "/usr/local/lib/python3.6/site-packages/pip/_vendor/cachecontrol/filewrapper.py", line 62, in read
    data = self.__fp.read(amt)
  File "/usr/local/lib/python3.6/http/client.py", line 449, in read
    n = self.readinto(b)
  File "/usr/local/lib/python3.6/http/client.py", line 493, in readinto
    n = self.fp.readinto(b)
  File "/usr/local/lib/python3.6/socket.py", line 586, in readinto
    return self._sock.recv_into(b)
  File "/usr/local/lib/python3.6/ssl.py", line 1012, in recv_into
    return self.read(nbytes, buffer)
  File "/usr/local/lib/python3.6/ssl.py", line 874, in read
    return self._sslobj.read(len, buffer)
  File "/usr/local/lib/python3.6/ssl.py", line 631, in read
    v = self._sslobj.read(len, buffer)
socket.timeout: The read operation timed out

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/usr/local/lib/python3.6/site-packages/pip/_internal/cli/base_command.py", line 179, in main
    status = self.run(options, args)
  File "/usr/local/lib/python3.6/site-packages/pip/_internal/commands/install.py", line 315, in run
    resolver.resolve(requirement_set)
  File "/usr/local/lib/python3.6/site-packages/pip/_internal/resolve.py", line 131, in resolve
    self._resolve_one(requirement_set, req)
  File "/usr/local/lib/python3.6/site-packages/pip/_internal/resolve.py", line 294, in _resolve_one
    abstract_dist = self._get_abstract_dist_for(req_to_install)
  File "/usr/local/lib/python3.6/site-packages/pip/_internal/resolve.py", line 242, in _get_abstract_dist_for
    self.require_hashes
  File "/usr/local/lib/python3.6/site-packages/pip/_internal/operations/prepare.py", line 334, in prepare_linked_requirement
    progress_bar=self.progress_bar
  File "/usr/local/lib/python3.6/site-packages/pip/_internal/download.py", line 878, in unpack_url
    progress_bar=progress_bar
  File "/usr/local/lib/python3.6/site-packages/pip/_internal/download.py", line 702, in unpack_http_url
    progress_bar)
  File "/usr/local/lib/python3.6/site-packages/pip/_internal/download.py", line 946, in _download_http_url
    _download_url(resp, link, content_file, hashes, progress_bar)
  File "/usr/local/lib/python3.6/site-packages/pip/_internal/download.py", line 639, in _download_url
    hashes.check_against_chunks(downloaded_chunks)
  File "/usr/local/lib/python3.6/site-packages/pip/_internal/utils/hashes.py", line 62, in check_against_chunks
    for chunk in chunks:
  File "/usr/local/lib/python3.6/site-packages/pip/_internal/download.py", line 607, in written_chunks
    for chunk in chunks:
  File "/usr/local/lib/python3.6/site-packages/pip/_internal/utils/ui.py", line 159, in iter
    for x in it:
  File "/usr/local/lib/python3.6/site-packages/pip/_internal/download.py", line 596, in resp_read
    decode_content=False):
  File "/usr/local/lib/python3.6/site-packages/pip/_vendor/urllib3/response.py", line 494, in stream
    data = self.read(amt=amt, decode_content=decode_content)
  File "/usr/local/lib/python3.6/site-packages/pip/_vendor/urllib3/response.py", line 459, in read
    raise IncompleteRead(self._fp_bytes_read, self.length_remaining)
  File "/usr/local/lib/python3.6/contextlib.py", line 99, in __exit__
    self.gen.throw(type, value, traceback)
  File "/usr/local/lib/python3.6/site-packages/pip/_vendor/urllib3/response.py", line 365, in _error_catcher
    raise ReadTimeoutError(self._pool, None, 'Read timed out.')
pip._vendor.urllib3.exceptions.ReadTimeoutError: HTTPSConnectionPool(host='files.pythonhosted.org', port=443): Read timed out.
ERROR: Service 'iris' failed to build: The command '/bin/sh -c pip install pandas matplotlib seaborn numpy dill' returned a non-zero code: 2
Evgeny Shvarov · Apr 14, 2019

Hi Stella!

This is complicated cause the base class of a cube should contain the most granular records for the subject area being analyzed. Speaking with family terms children can analyze their dads in a cube but not vice versa.  That means want to analyze Kids - build the cube for Kids.

There is one trick though which lets you analyze Kids from Dads assuming if your Dad is not very fruitful ;) I mean this will work if your Dad has less then 1,000 kids) 

You can build the Kids dimension with a level which consists of a comma-separated list of Kids IDs or kids data - use ObjectScript expressions for this. And mark this dimension as comma-separated in Dimension settings.

If the ObjectScript expression is long, use %cube.Method to call the method of the cube where you can code the complex logic.

Then you are able to show in levels and properties in this dimension whatever data you want to calculate and aggregate from kids using ObjectScript expressions.

HTH

Evgeny Shvarov · Apr 14, 2019

Hi Vincent!

One of the working examples of DeepSee Dashboard filters promoted via URL you can check here in Developer Community.

If you open your member's page you may click on View Analytics link and open the DeepSee Dashboard with filter parameters in URL, which shows this year postings filtered by Vincent Levesque.

And you may check how this works and even install on your laptop using this repo.