Software for portfolio management reporting and analysis in the UK Department for Transport, operated via command line interface (CLI) prompts.
Python must be installed on your computer. If not already installed, it can be installed via the python website
here. IMPORTANT ensure that Add Python to PATH
is ticked when provided
with the option as part of the installation wizard.
Open the command line terminal (Windows) or bash shell and install via pip install analysis_engine
.
In order to operate the correct directories and files must be set-up and saved on the user's computer.
analysis_engine
is able to handle different operating systems.
Create the following directories in your My Documents
directory:
|-- ipdc
|-- core_data
|-- json
|-- input
|-- output
|-- top250
|-- core_data
|-- json
|-- input
|-- output
Each reporting process e.g. ipdc and top250, respective core_data
directorates require:
- excel master data files;
- excel project information file; and,
- A confi.ini file. This file lists and master data and project information file names.
As a minimum the input
folder should have the following documents summary_temp.docx
,
summary_temp_landscape.docx
. In addition ipdc\input
should have the
dashboards_master.xlsx
file.
All outputs from analysis_engine will be saved into the output
directory.
The json
folder is where analysis_engine saves master data in an easily accessible
format (.json) and after setup can be ignored by the user.
Unfortunately there is one further manual installation, related to a package within analysis_engine which enables high quality rendering of graphical outputs to word documents. On Windows do the following:
- Download zip of poppler release from this link https://github.com/oschwartz10612/poppler-windows/releases/download/v21.03.0/Release-21.03.0.zip.
- unzip and move the whole directory to My Documents.
- Add the poppler bin directory to PATH following these instructions https://www.architectryan.com/2018/03/17/add-to-the-path-on-windows-10/
- Reboot computer.
Mac users should follow instructions here https://pypi.org/project/pdf2image/
Most Linux distributions should not require any manual installation.
To operate analysis_engine the user must enter the initial command
analysis
followed by a subcommand to specify the reporting process e.g
ipdc
or top250
and then finally an analytical output argument, the options
for which are set out below.
NOTE the --help
option is available throughout the entire command
line prompt construction process and the user should use it for guidance on what subcommands
and arguments are available for use.
analysis_engine currently has the following arguments:
initiate
The user must enter this command
every time master data, contained in the core_data directory, is updated.
The initiate checks and validates the data in a number of ways.
dashboards
populates the IPDC PfM report dashboard. A blank template dashboard
must be saved in the ipdc/input directory. (Not currently available for top250.)
dandelion
produces the portfolio dandelion info-graphic.
costs
produces a cost profile trend graph and data. (Not currently available for top250.)
milestones
produces milestone schedule graphs and data.
vfm
produces vfm data. (Not currently available for top250.)
summaries
produces project summary reports.
risks
produces risk data. (Not currently available for top250.)
dcas
produces dca data. (Not currently available for top250.)
speedial
prints out changes in project dca ratings. (Not currently available for top250.)
query
returns (from master data) specific data required by the user.
The default for each argument is to return outputs with current and last quarter data.
Further to each argument the user can specify one or many
further optional_arguments to alter the analytical output produced. There are
many optional_arguments available, which vary for each argument,
and the user should use the --help
option to specify those that are available.