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Besides that: 1. Introduce `setup.py isort` for quick check 2. Introduce GH actions to check imports
107 lines
4.9 KiB
Python
107 lines
4.9 KiB
Python
import json
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import time
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from behave import step, then
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import patroni.psycopg as pg
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@step('I create a logical replication slot {slot_name} on {pg_name:w} with the {plugin:w} plugin')
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def create_logical_replication_slot(context, slot_name, pg_name, plugin):
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try:
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output = context.pctl.query(pg_name, ("SELECT pg_create_logical_replication_slot('{0}', '{1}'),"
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" current_database()").format(slot_name, plugin))
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print(output.fetchone())
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except pg.Error as e:
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print(e)
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assert False, "Error creating slot {0} on {1} with plugin {2}".format(slot_name, pg_name, plugin)
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@step('{pg_name:w} has a logical replication slot named {slot_name}'
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' with the {plugin:w} plugin after {time_limit:d} seconds')
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@then('{pg_name:w} has a logical replication slot named {slot_name}'
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' with the {plugin:w} plugin after {time_limit:d} seconds')
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def has_logical_replication_slot(context, pg_name, slot_name, plugin, time_limit):
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time_limit *= context.timeout_multiplier
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max_time = time.time() + int(time_limit)
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while time.time() < max_time:
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try:
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row = context.pctl.query(pg_name, ("SELECT slot_type, plugin FROM pg_replication_slots"
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f" WHERE slot_name = '{slot_name}'")).fetchone()
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if row:
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assert row[0] == "logical", f"Replication slot {slot_name} isn't a logical but {row[0]}"
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assert row[1] == plugin, f"Replication slot {slot_name} using plugin {row[1]} rather than {plugin}"
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return
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except Exception:
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pass
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time.sleep(1)
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assert False, f"Error looking for slot {slot_name} on {pg_name} with plugin {plugin}"
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@step('{pg_name:w} does not have a replication slot named {slot_name:w}')
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@then('{pg_name:w} does not have a replication slot named {slot_name:w}')
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def does_not_have_replication_slot(context, pg_name, slot_name):
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try:
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row = context.pctl.query(pg_name, ("SELECT 1 FROM pg_replication_slots"
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" WHERE slot_name = '{0}'").format(slot_name)).fetchone()
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assert not row, "Found unexpected replication slot named {0}".format(slot_name)
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except pg.Error:
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assert False, "Error looking for slot {0} on {1}".format(slot_name, pg_name)
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@step('{slot_type:w} slot {slot_name:w} is in sync between {pg_name1:w} and {pg_name2:w} after {time_limit:d} seconds')
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def slots_in_sync(context, slot_type, slot_name, pg_name1, pg_name2, time_limit):
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time_limit *= context.timeout_multiplier
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max_time = time.time() + int(time_limit)
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column = 'confirmed_flush_lsn' if slot_type.lower() == 'logical' else 'restart_lsn'
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query = f"SELECT {column} FROM pg_replication_slots WHERE slot_name = '{slot_name}'"
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while time.time() < max_time:
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try:
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slot1 = context.pctl.query(pg_name1, query).fetchone()
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slot2 = context.pctl.query(pg_name2, query).fetchone()
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if slot1[0] == slot2[0]:
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return
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except Exception:
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pass
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time.sleep(1)
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assert False, \
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f"{slot_type} slot {slot_name} is not in sync between {pg_name1} and {pg_name2} after {time_limit} seconds"
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@step('I get all changes from logical slot {slot_name:w} on {pg_name:w}')
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def logical_slot_get_changes(context, slot_name, pg_name):
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context.pctl.query(pg_name, "SELECT * FROM pg_logical_slot_get_changes('{0}', NULL, NULL)".format(slot_name))
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@step('I get all changes from physical slot {slot_name:w} on {pg_name:w}')
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def physical_slot_get_changes(context, slot_name, pg_name):
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context.pctl.query(pg_name, f"SELECT * FROM pg_replication_slot_advance('{slot_name}', pg_current_wal_lsn())")
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@step('{pg_name:w} has a physical replication slot named {slot_name} after {time_limit:d} seconds')
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def has_physical_replication_slot(context, pg_name, slot_name, time_limit):
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time_limit *= context.timeout_multiplier
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max_time = time.time() + int(time_limit)
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query = f"SELECT * FROM pg_catalog.pg_replication_slots WHERE slot_type = 'physical' AND slot_name = '{slot_name}'"
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while time.time() < max_time:
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try:
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row = context.pctl.query(pg_name, query).fetchone()
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if row:
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return
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except Exception:
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pass
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time.sleep(1)
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assert False, f"Physical slot {slot_name} doesn't exist after {time_limit} seconds"
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@step('"{name}" key in DCS has {subkey:w} in {key:w}')
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def dcs_key_contains(context, name, subkey, key):
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response = json.loads(context.dcs_ctl.query(name))
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assert key in response and subkey in response[key], f"{name} key in DCS doesn't have {subkey} in {key}"
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@step('"{name}" key in DCS does not have {subkey:w} in {key:w}')
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def dcs_key_does_not_contain(context, name, subkey, key):
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response = json.loads(context.dcs_ctl.query(name))
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assert key not in response or subkey not in response[key], f"{name} key in DCS has {subkey} in {key}"
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