host = os.getenv("POSTGRES_PORT_5432_TCP_ADDR")
config.set_section_option("alembic", "sqlalchemy.url", "postgres://*****:*****@%s/bagbunker" % host)
# Interpret the config file for Python logging.
# This line sets up loggers basically.
fileConfig(config.config_file_name)
# add your model's MetaData object here
# for 'autogenerate' support
# from myapp import mymodel
# target_metadata = mymodel.Base.metadata
# target_metadata = None
import marv
marv.load_formats()
marv.load_jobs()
target_metadata = marv.db.metadata
# other values from the config, defined by the needs of env.py,
# can be acquired:
# my_important_option = config.get_main_option("my_important_option")
# ... etc.
def run_migrations_offline():
"""Run migrations in 'offline' mode.
This configures the context with just a URL
and not an Engine, though an Engine is acceptable
here as well. By skipping the Engine creation
we don't even need a DBAPI to be available.
from functools import partial
from threading import Thread
from werkzeug import release_local
from marv import create_app, load_formats, load_jobs
from marv.globals import _job_ctx_stack
from marv.listing import populate_listing_cache, trigger_update_listing_entries
from marv.log import loglevel_option
from marv.model import db, Fileset, Jobfile, Jobrun
from marv.storage import Storage
from marv.registry import JOB
from marv._utils import make_async_job, async_job_milker, Done
load_formats()
load_jobs()
def config_option(key):
def callback(ctx, param, value):
ctx.params.setdefault('config', dict())[key] = value
return value
return callback
def read_config(path):
parser = ConfigParser.RawConfigParser()
parser.read([path])
cfg = {}
for section in parser.sections():
seccfg = reduce(lambda acc, x: acc.setdefault(x, {}), section.split('.'), cfg)
