Skip to main content

Unofficial Treasure Workflow API client

Project description

Unofficial Treasure Workflow API client.


pip install tdworkflow

If you want to use development version, run as follows:

pip install git+


import os

from tdworkflow.client import Client

apikey = os.getenv("TD_API_KEY")
client = Client(site="us", apikey=apikey)
# Or, write endpoint explicitly
# client = Client(endpoint="", apikey=apikey)

projects = client.projects("pandas-df")

secrets = {"td.apikey": apikey, "td.apiserver": "", "test": "secret-foo"}

client.set_secrets(projects[0], secrets)

# ['td.apikey', 'td.apiserver', "test"]
client.delete_secrets(projects[0], ["test", "td.apiserver"])

Uplaod Project from GitHub

Before executing example code, you have to install git-python

pip install gitpython

Clone example repository with git-python and upload a digdag project.

import tempfile
import os
import shutil

import tdworkflow

from git import Git

# Download example GitHub repositoory

tempdir = tempfile.gettempdir()

git_repo = ""

shutil.rmtree(os.path.join(tempdir, "treasure-boxes"))

    print("Clone repository succeeded")
except Exception:
    print("Repository clone failed")

# Upload specific Workflow project

apikey = os.getenv("TD_API_KEY")
site = "us"

target_box = os.path.join("integration-box", "python")
target_path = os.path.join(tempdir, "treasure-boxes", target_box)

client = tdworkflow.client.Client(site=site, apikey=apikey)
project = client.create_project("my-project", target_path)

If you want to open Treasure Workflow console on your browser, you can get the workflow URL as the following:

    "us": "",
    "eu01": "",
    "jp": "",

workflows = client.project_workflows(project)
workflows = list(filter(lambda w: != "test", workflows))
if workflows:
    print(f"Project created! Open {CONSOLE_URL[site]}/{workflows[0].id}/info on your browser and clieck 'New Run' button.")
    print("Project creation failed.")

Start workflow session

You can start workflow session by using Client.start_attempt.

attempt = client.start_attempt(workflows[0])

# Wait attempt until finish. This may require few minutes.
attempt = client.wait_attempt(attempt)

Connect to open source digdag

Since Treasure Workflow is hosted digdag, tdworkflow is compatible with open source digdag.

Here is the example code to connect local digdag server.

>>> import tdworkflow
>>> import requests
>>> session = requests.Session()
>>> client = tdworkflow.client.Client(
... endpoint="localhost:65432", apikey="", _session=session, scheme="http")
>>> client.projects()
[Project(id=1, name='python-tdworkflow', revision='134fe2f9-ded3-4e7c-af8e-8a82d55d688b', archiveType='db', archiveMd5='5Lc6F6m3DtmBN4DA5MzK8A==', createdAt='2019-11-01T13:03:26Z', deletedAt=None, updatedAt='2019-11-01T13:03:26Z')]

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

tdworkflow-0.4.0.tar.gz (27.6 kB view hashes)

Uploaded source

Built Distribution

tdworkflow-0.4.0-py3-none-any.whl (14.8 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page