pycontw-inalyzer is an integrated analyzer that can extract various types of raw data (e.g. attendee, programs, checkins), and inspect some valuable information via customized strategies construct by each team with their different domain knowledge.

• Python 3.8

Analyzer will use mock_data with directory ./mock_data/ by default, you can refresh it via run pipenv run python analyzer/utils/mock_data.py. For real data, please contact conributors listed below.

An example program analyzer/app.py would be a great choice for the first try, run it by

pipenv run python analyzer/app.py

You can set up configs in analyzer/config.py easily, please refer to the code for advanced instructions.

pycontw-inspector currently construct by four layers:

• extractor: extract raw data from file.
• provider: collect data form all extractor and provide more explainable data for inspecting.
• inspector: inspect valuable information via implementing strategies.
• visualizer: visualize the results data.

data
├── attendee
│   ├── discount_2019.csv
│   ├── reserved_2019.csv
│   └── standard_2019.csv
├── programs
│   └── program_2019.csv
├── proposals
│   └── sql_dump
│       ├── talk.sql
│       └── tutorial.sql
└── vacancies
    ├── cake_resume.csv
    └── linked_in.csv

invoke is used for the tasks management, some available tasks list below:

• inv env.clean
• inv env.init

• inv style.pylint
• inv style.flake8
• inv style.blackcheck

• inv test.pytest

• Rain Wu