pytxc 0.1.1

Python parser from TransXChange.

pytxc

Quick start

Installation

Use pip to install pytxc.

python -m pip install pytxc

Usage

The Timetable class is used to parse and interact with TransXChange files.

from pathlib import Path
from pytxc import Timetable


>> filepath = "path/to/transxchange/file.xml"
>> timetable = Timetable.from_file_path(Path(filepath))
>> timetable.header
Header(
    creation_date_time=datetime.datetime(2020, 11, 22, 11, 0),
    modification_date_time=datetime.datetime(2021, 12, 17, 11, 8, 35),
    file_name="file.xml",
    modification="revise",
    schema_version="2.4",
    revision_number=159,
)

The StopPoints in a TransXChange can be accessed through the stop_points attribute.

>> timetable.stop_points[0]

AnnotatedStopPointRef(
    stop_point_ref=StopPointRef(text="077072002S"),
    common_name="High Street Stand S",
)

Similarly, RouteSections can be accessed using the route_sections attribute.

>> timetable.route_sections[0]

RouteSection(id='RS1')

The naming conventions used for the Python objects will more or less match those of TransXChange for example, the first JourneyPattern of a StandardService is usually found in a Service of the Services block. Using pytxc it can be accessed as follows,

>> timetable.services[0].standard_services[0].journey_patterns[0]

JourneyPattern(
    id="JP1",
    CreationDateTime="2020-11-22T11:00:00",
    ModificationDateTime="2021-12-17T11:08:35",
    Modification="revise",
    RevisionNumber="159",
)

When interacting with references, pytxc provides a resolve method to find the original element in the TransXChange file. For example if a JourneyPattern contains a RouteRef then calling resolve on the route_ref object will return the original Route object.

>> jp = timetable.services[0].standard_services[0].journey_patterns[0]
>> jp.route_ref.resolve()

Route(private_code='35st-40', description='Stockton - Wolviston Court')