projectcard 0.3.3

Project Cards represent information about a tranportation infrastructure projects sufficient for usage in a regional travel demand model. This package supports validation and usage of this schema.

Project Card Data Schema

Project Cards represent information about a tranportation infrastructure projects sufficient for usage in a regional travel demand model. This package supports validation and usage of this schema.

Schema

The ProjectCard schema is represented as a json-schema in the /schema directory and is documented on the schemas page.

Example Data

Example project cards can be found in the /examples directory and on the examples page

Basic Usage

This package should generally be used to validate or update project cards.

There is also a limited object model, ProjectCard which can be used to organize and manage project cards.

Command Line

Validate project card(s) from a directory or specific file path, optionally filtering by a tag.

validate_card card_search_dir --filter_tags ['tag_to_search_for']

Update older project card(s) to current format from a directory or specific file path. Cards should still be validated afterwards.

update_projectcard_schema card_search_dir output_dir

Python API

from projectcard.io import read_cards

# Read in cards from a directory with the tag "Baseline 2030"
project_cards = read_cards(directory, filter_tags=["Baseline2030"])

# Iterate through a deck of cards for validity
for project_name,card in project_cards.items():
    print(f"{project_name}: {card.valid}")

# Print out a summary of the card with the project name "4th Ave Busway"
print(project_cards["4th Ave Busway"])

Installation

pip install projectcard

Note: Generally it is not necessary to install the projectcard package as the main purpose of this repository is to maintain the project card schema. Projects that use the package to validate project cards usually include projectcards as a requirement and install it on their own.

Development Environment

1. Fork and clone repo locally

2. Install dependencies

conda install --yes --file requirements.txt

or

pip install -r requirements.txt

3. Install from working directory

pip install -e .