jdavcs

# Date: 06/13/23
# PR #16209
# api tests

2023-06-13T19:36:43.8337105Z galaxy.workflow.scheduling_manager DEBUG 2023-06-13 18:41:56,943 [pN:main,p:2288,tN:WorkflowRequestMonitor.monitor_thread] Attempting to schedule workflow invocation [42]
2023-06-13T19:36:43.8338459Z galaxy.workflow.run DEBUG 2023-06-13 18:41:56,981 [pN:main,p:2288,tN:WorkflowRequestMonitor.monitor_thread] Marking step 459 outputs of invocation 42 delayed (workflow paused at this step waiting for review)
2023-06-13T19:36:43.8339675Z galaxy.workflow.run DEBUG 2023-06-13 18:41:56,983 [pN:main,p:2288,tN:WorkflowRequestMonitor.monitor_thread] Marking step 460 outputs of invocation 42 delayed (dependent step [459] delayed, so this step must be delayed)
2023-06-13T19:36:43.8340702Z galaxy.workflow.scheduling_manager DEBUG 2023-06-13 18:41:56,988 [pN:main,p:2288,tN:WorkflowRequestMonitor.monitor_thread] Workflow invocation [42] scheduled
2023-06-13T19:36:43.8341815Z galaxy.workflow.scheduling_manager DEBUG 2023-06-13 18:41:57,196 [pN:main,p:2288,

jdavcs

# Date: 06/13/23
# PR #16209
# api tests

2023-06-13T19:14:00.1624839Z [SQL: UPDATE job SET update_time=%(update_time)s, state=%(state)s, job_runner_name=%(job_runner_name)s, handler=%(handler)s WHERE job.id = %(job_id)s]
2023-06-13T19:14:00.1626020Z [parameters: {'update_time': datetime.datetime(2023, 6, 13, 18, 17, 46, 763299), 'state': <JobState.QUEUED: 'queued'>, 'job_runner_name': 'celery', 'handler': 'fv-az1234-686', 'job_id': 4}]
2023-06-13T19:14:00.1626864Z (Background on this error at: https://sqlalche.me/e/14/e3q8) (Background on this error at: https://sqlalche.me/e/14/7s2a)
2023-06-13T19:14:00.1628035Z celery.worker.request DEBUG 2023-06-13 18:17:48,871 [pN:main,p:2329,tN:Thread-2] Task accepted: galaxy.celery.tasks.setup_fetch_data[a554b187-f219-412b-a9da-2d73aa5dda92] pid:2329
2023-06-13T19:14:00.1629163Z galaxy.celery WARNING 2023-06-13 18:17:48,872 [pN:main,p:2329,tN:Thread-2] Celery task execution failed for setup_fetch_data setup_fetch_data (0.599 ms)
2023-06-13T19:14:00.1633944Z celery.app.t

jdavcs

# Date: 6/15/23
# PR #16209
# api tests

2023-06-15T21:54:46.7968842Z Traceback (most recent call last):
2023-06-15T21:54:46.7969423Z   File "/home/runner/work/galaxy/galaxy/galaxy root/lib/galaxy/web/framework/decorators.py", line 337, in decorator
2023-06-15T21:54:46.7969911Z     rval = func(self, trans, *args, **kwargs)
2023-06-15T21:54:46.7970491Z   File "/home/runner/work/galaxy/galaxy/galaxy root/lib/galaxy/webapps/galaxy/api/tools.py", line 563, in create
2023-06-15T21:54:46.7971005Z     return self.service._create(trans, payload, **kwd)
2023-06-15T21:54:46.7971600Z   File "/home/runner/work/galaxy/galaxy/galaxy root/lib/galaxy/webapps/galaxy/services/tools.py", line 175, in _create

jdavcs

import contextlib
from sqlalchemy import Column, Integer, String
from sqlalchemy import select
from sqlalchemy import create_engine
from sqlalchemy.orm import (
    declarative_base,
    sessionmaker,
)

#################### setup ####################

jdavcs

import contextlib
import logging

from sqlalchemy import Column, Integer, String, create_engine, select
from sqlalchemy.orm import declarative_base, sessionmaker

#################### setup ####################

engine = create_engine(CONNECTION-STRING)

jdavcs

Migrating a distributed system to SQLAlchemy 2.0 at "Galactic" scale: lessons learned

Galaxy (https://galaxyproject.org) is a globally-distributed open source software platform that connects analysis tools, datasets, compute resources, a graphical user interface, and a programmatic API. It enables accessible, reproducible, and collaborative data science and is used by thousands of scientists across the world. It has been in continuous development for 17 years and is among the most active open source projects in the world.

From an engineering standpoint, Galaxy is a large distributed system (400K+ lines of Python code), at the core of which is the data model with objects persisted in a relational database. Our data access layer relies heavily on SQLAlchemy (sqlalchemy.org) - a SQL automation tool kit and object-relational mapper widely-used in the Python ecosystem. SQLAlchemy is about the same age as Galaxy and has recently went through the largest upgrade process in its history. The complexity of upgradin

jdavcs

"""
Must run with github token (see get_token())
Also can simply  load it into GITHUB_AUTH env var.
"""
import csv 
import datetime
from collections import namedtuple
from pathlib import Path

from github import Github