Skip to main content

PDscheduler

Automatically schedule and upload on-call rotations to PagerDuty from a CSV file.

Overview

PDscheduler is a Python library designed to simplify the process of generating and uploading on-call schedules to PagerDuty. By providing a CSV file with your team's rotation details, the package will automatically create or update the schedule for the upcoming week.

Why only one week?

Due to limitations in the PagerDuty scheduling API, the schedule can only accommodate weekdays (e.g., "Wednesday"). This means that if you are available on a Wednesday this week but not on the same weekday next week, the API will not be able to handle that variation. As a result, the tool supports generating a schedule for only the next week.

Installation

Method 1: pip

pip install pdscheduler

Method 2: Clone the repo

git clone https://github.com/Raphaelvddoel/pdscheduler.git
cd pdscheduler
pip install -r requirements

Usage

Step 1: Generate csv file

Generate a csv file with the following structure

user_email,week_day,start_time,end_time
  • user_email: The email address of the team member.
  • week_day: The day of the week (e.g., monday, tuesday, etc.).
  • start_time: The start time of the on-call shift (in 24-hour format, e.g., 14:00).
  • end_time: The end time of the on-call shift (in 24-hour format, e.g., 22:00).

Example csv

user_email,week_day,start_time,end_time
john.doe@example.com,monday,00:00,08:00
jane.smith@example.com,monday,08:00,16:00
alex.jones@example.com,tuesday,00:00,08:00

Step 2: Get PagerDuty API key

To use PDscheduler, you will need an API access key.

  1. In the navbar go to 'Integrations' > 'API Access Keys'
  2. Generate a new API key or use an existing one.

Step 3: Configure and run the script

Here's an example of how to use PDscheduler

from pdscheduler import PagerDutyScheduler

# Initialize the scheduler with your PagerDuty API key
scheduler = PagerDutyScheduler("your-api-key-here")

# Set the name, description, and timezone for the schedule
scheduler.set_name("Automatic Schedule")
scheduler.set_description("This schedule is generated automatically by pdscheduler.")
scheduler.set_timezone("Europe/Amsterdam")

# Set which days of the week and hours to include in the schedule
scheduler.set_days_of_week(["Monday", "Tuesday", "Wednesday", "Thursday", "Friday"])
scheduler.set_hours_of_day(9, 22)

# Set the users and exclude specific users from the schedule
scheduler.set_users_from_pager_duty()
scheduler.exclude_users_from_schedule(["excluded_user_id"])

# Set the location of your CSV file
scheduler.set_csv_file_location("test_data.csv")

# Generate and upload the schedule to PagerDuty
scheduler.generate_schedule()
scheduler.create_or_update_schedule()

For more information see example.py.

License

Distributed under the MIT License. See License for more information.

Acknowledgments

This project is based on the work done by skrypka/pdscheduling.

Metadata

Release files for PDscheduler 0.2.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for PDscheduler 0.2.0
File Size Uploaded
pdscheduler-0.2.0.tar.gz 9.9 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for PDscheduler 0.2.0
File Interpreter ABI Platform
pdscheduler-0.2.0-py3-none-any.whl Python 3 none any Details

Total release size: 21.3 kB

Release files / pdscheduler-0.2.0.tar.gz

Download URL pdscheduler-0.2.0.tar.gz
Size 9.9 kB
Tags Source
SHA-256 checksum
How to use checksums
5075dace0bf921f6b0ec6fc76663f71aac5f57841c190b77f72675e63434a61c
BLAKE2b-256 checksum
How to use checksums
4661681fb70291b0d3b12c49bbb422a9190f2aab7db6767cb463c5911e26faf1
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.12.9

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Mar 29, 2025.

Transparency log

Release files / pdscheduler-0.2.0-py3-none-any.whl

Download URL pdscheduler-0.2.0-py3-none-any.whl
Size 11.4 kB
Tags Python 3
SHA-256 checksum
How to use checksums
b7073d6d2837caaf45f6a2b184ad897c0dad639a0ce141c105ad2bd69698c11d
BLAKE2b-256 checksum
How to use checksums
f50fae23add935455365b2a37650e8cbc55664f90270295eadf0fc476ca28b4f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.12.9

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Mar 29, 2025.

Transparency log

Release history Release notifications | RSS feed

This release

0.2.0 This release

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page