tdworkflow 0.8.0rc0

Upload Project from GitHub

Before executing the 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 = "https://github.com/treasure-data/treasure-boxes/"

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

try:
    Git(tempdir).clone(git_repo)
    print("Clone repository succeeded")
except Exception:
    print("Repository clone failed")
    raise

# 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:

CONSOLE_URL = {
    "us": "https://console.treasuredata.com/app/workflows",
    "eu01": "https://console.eu01.treasuredata.com/app/workflows",
    "jp": "https://console.treasuredata.co.jp/app/workflows",
}

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

Start workflow session

You can start a 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')]