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backend.py
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# Copyright (C) 2015-2021 The Software Heritage developers
# See the AUTHORS file at the top-level directory of this distribution
# License: GNU General Public License version 3, or any later version
# See top-level LICENSE file for more information
import datetime
import json
import logging
from typing import Any, Dict, Iterable, List, Optional, Tuple, Union
from uuid import UUID
import attr
from psycopg2.errors import CardinalityViolation
from psycopg2.extensions import AsIs
import psycopg2.extras
import psycopg2.pool
from swh.core.db import BaseDb
from swh.core.db.common import db_transaction
from swh.scheduler.utils import utcnow
from .exc import SchedulerException, StaleData, UnknownPolicy
from .interface import ListedOriginPageToken, PaginatedListedOriginList
from .model import (
LastVisitStatus,
ListedOrigin,
Lister,
OriginVisitStats,
SchedulerMetrics,
)
logger = logging.getLogger(__name__)
def adapt_LastVisitStatus(v: LastVisitStatus):
return AsIs(f"'{v.value}'::last_visit_status")
psycopg2.extensions.register_adapter(dict, psycopg2.extras.Json)
psycopg2.extensions.register_adapter(LastVisitStatus, adapt_LastVisitStatus)
psycopg2.extras.register_uuid()
def format_query(query, keys):
"""Format a query with the given keys"""
query_keys = ", ".join(keys)
placeholders = ", ".join(["%s"] * len(keys))
return query.format(keys=query_keys, placeholders=placeholders)
class SchedulerBackend:
"""Backend for the Software Heritage scheduling database.
"""
def __init__(self, db, min_pool_conns=1, max_pool_conns=10):
"""
Args:
db_conn: either a libpq connection string, or a psycopg2 connection
"""
if isinstance(db, psycopg2.extensions.connection):
self._pool = None
self._db = BaseDb(db)
else:
self._pool = psycopg2.pool.ThreadedConnectionPool(
min_pool_conns,
max_pool_conns,
db,
cursor_factory=psycopg2.extras.RealDictCursor,
)
self._db = None
def get_db(self):
if self._db:
return self._db
return BaseDb.from_pool(self._pool)
def put_db(self, db):
if db is not self._db:
db.put_conn()
task_type_keys = [
"type",
"description",
"backend_name",
"default_interval",
"min_interval",
"max_interval",
"backoff_factor",
"max_queue_length",
"num_retries",
"retry_delay",
]
@db_transaction()
def create_task_type(self, task_type, db=None, cur=None):
"""Create a new task type ready for scheduling.
Args:
task_type (dict): a dictionary with the following keys:
- type (str): an identifier for the task type
- description (str): a human-readable description of what the
task does
- backend_name (str): the name of the task in the
job-scheduling backend
- default_interval (datetime.timedelta): the default interval
between two task runs
- min_interval (datetime.timedelta): the minimum interval
between two task runs
- max_interval (datetime.timedelta): the maximum interval
between two task runs
- backoff_factor (float): the factor by which the interval
changes at each run
- max_queue_length (int): the maximum length of the task queue
for this task type
"""
keys = [key for key in self.task_type_keys if key in task_type]
query = format_query(
"""insert into task_type ({keys}) values ({placeholders})
on conflict do nothing""",
keys,
)
cur.execute(query, [task_type[key] for key in keys])
@db_transaction()
def get_task_type(self, task_type_name, db=None, cur=None):
"""Retrieve the task type with id task_type_name"""
query = format_query(
"select {keys} from task_type where type=%s", self.task_type_keys,
)
cur.execute(query, (task_type_name,))
return cur.fetchone()
@db_transaction()
def get_task_types(self, db=None, cur=None):
"""Retrieve all registered task types"""
query = format_query("select {keys} from task_type", self.task_type_keys,)
cur.execute(query)
return cur.fetchall()
@db_transaction()
def get_listers(self, db=None, cur=None) -> List[Lister]:
"""Retrieve information about all listers from the database.
"""
select_cols = ", ".join(Lister.select_columns())
query = f"""
select {select_cols} from listers
"""
cur.execute(query)
return [Lister(**ret) for ret in cur.fetchall()]
@db_transaction()
def get_lister(
self, name: str, instance_name: Optional[str] = None, db=None, cur=None
) -> Optional[Lister]:
"""Retrieve information about the given instance of the lister from the
database.
"""
if instance_name is None:
instance_name = ""
select_cols = ", ".join(Lister.select_columns())
query = f"""
select {select_cols} from listers
where (name, instance_name) = (%s, %s)
"""
cur.execute(query, (name, instance_name))
ret = cur.fetchone()
if not ret:
return None
return Lister(**ret)
@db_transaction()
def get_or_create_lister(
self, name: str, instance_name: Optional[str] = None, db=None, cur=None
) -> Lister:
"""Retrieve information about the given instance of the lister from the
database, or create the entry if it did not exist.
"""
if instance_name is None:
instance_name = ""
select_cols = ", ".join(Lister.select_columns())
insert_cols, insert_meta = (
", ".join(tup) for tup in Lister.insert_columns_and_metavars()
)
query = f"""
with added as (
insert into listers ({insert_cols}) values ({insert_meta})
on conflict do nothing
returning {select_cols}
)
select {select_cols} from added
union all
select {select_cols} from listers
where (name, instance_name) = (%(name)s, %(instance_name)s);
"""
cur.execute(query, attr.asdict(Lister(name=name, instance_name=instance_name)))
return Lister(**cur.fetchone())
@db_transaction()
def update_lister(self, lister: Lister, db=None, cur=None) -> Lister:
"""Update the state for the given lister instance in the database.
Returns:
a new Lister object, with all fields updated from the database
Raises:
StaleData if the `updated` timestamp for the lister instance in
database doesn't match the one passed by the user.
"""
select_cols = ", ".join(Lister.select_columns())
set_vars = ", ".join(
f"{col} = {meta}"
for col, meta in zip(*Lister.insert_columns_and_metavars())
)
query = f"""update listers
set {set_vars}
where id=%(id)s and updated=%(updated)s
returning {select_cols}"""
cur.execute(query, attr.asdict(lister))
updated = cur.fetchone()
if not updated:
raise StaleData("Stale data; Lister state not updated")
return Lister(**updated)
@db_transaction()
def record_listed_origins(
self, listed_origins: Iterable[ListedOrigin], db=None, cur=None
) -> List[ListedOrigin]:
"""Record a set of origins that a lister has listed.
This performs an "upsert": origins with the same (lister_id, url,
visit_type) values are updated with new values for
extra_loader_arguments, last_update and last_seen.
"""
pk_cols = ListedOrigin.primary_key_columns()
select_cols = ListedOrigin.select_columns()
insert_cols, insert_meta = ListedOrigin.insert_columns_and_metavars()
deduplicated_origins = {
tuple(getattr(origin, k) for k in pk_cols): origin
for origin in listed_origins
}
upsert_cols = [col for col in insert_cols if col not in pk_cols]
upsert_set = ", ".join(f"{col} = EXCLUDED.{col}" for col in upsert_cols)
query = f"""INSERT into listed_origins ({", ".join(insert_cols)})
VALUES %s
ON CONFLICT ({", ".join(pk_cols)}) DO UPDATE
SET {upsert_set}
RETURNING {", ".join(select_cols)}
"""
ret = psycopg2.extras.execute_values(
cur=cur,
sql=query,
argslist=(attr.asdict(origin) for origin in deduplicated_origins.values()),
template=f"({', '.join(insert_meta)})",
page_size=1000,
fetch=True,
)
return [ListedOrigin(**d) for d in ret]
@db_transaction()
def get_listed_origins(
self,
lister_id: Optional[UUID] = None,
url: Optional[str] = None,
limit: int = 1000,
page_token: Optional[ListedOriginPageToken] = None,
db=None,
cur=None,
) -> PaginatedListedOriginList:
"""Get information on the listed origins matching either the `url` or
`lister_id`, or both arguments.
"""
query_filters: List[str] = []
query_params: List[Union[int, str, UUID, Tuple[UUID, str]]] = []
if lister_id:
query_filters.append("lister_id = %s")
query_params.append(lister_id)
if url is not None:
query_filters.append("url = %s")
query_params.append(url)
if page_token is not None:
query_filters.append("(lister_id, url) > %s")
# the typeshed annotation for tuple() is too strict.
query_params.append(tuple(page_token)) # type: ignore
query_params.append(limit)
select_cols = ", ".join(ListedOrigin.select_columns())
if query_filters:
where_clause = "where %s" % (" and ".join(query_filters))
else:
where_clause = ""
query = f"""SELECT {select_cols}
from listed_origins
{where_clause}
ORDER BY lister_id, url
LIMIT %s"""
cur.execute(query, tuple(query_params))
origins = [ListedOrigin(**d) for d in cur]
if len(origins) == limit:
page_token = (str(origins[-1].lister_id), origins[-1].url)
else:
page_token = None
return PaginatedListedOriginList(origins, page_token)
@db_transaction()
def grab_next_visits(
self,
visit_type: str,
count: int,
policy: str,
enabled: bool = True,
lister_uuid: Optional[str] = None,
timestamp: Optional[datetime.datetime] = None,
scheduled_cooldown: Optional[datetime.timedelta] = datetime.timedelta(days=7),
failed_cooldown: Optional[datetime.timedelta] = datetime.timedelta(days=14),
not_found_cooldown: Optional[datetime.timedelta] = datetime.timedelta(days=31),
tablesample: Optional[float] = None,
db=None,
cur=None,
) -> List[ListedOrigin]:
if timestamp is None:
timestamp = utcnow()
origin_select_cols = ", ".join(ListedOrigin.select_columns())
query_args: List[Any] = []
where_clauses = []
# list of (name, query) handled as CTEs before the main query
common_table_expressions: List[Tuple[str, str]] = []
# "NOT enabled" = the lister said the origin no longer exists
where_clauses.append("enabled" if enabled else "not enabled")
# Only schedule visits of the given type
where_clauses.append("visit_type = %s")
query_args.append(visit_type)
if scheduled_cooldown:
# Don't re-schedule visits if they're already scheduled but we haven't
# recorded a result yet, unless they've been scheduled more than a week
# ago (it probably means we've lost them in flight somewhere).
where_clauses.append(
"""origin_visit_stats.last_scheduled IS NULL
OR origin_visit_stats.last_scheduled < GREATEST(
%s,
origin_visit_stats.last_visit
)
"""
)
query_args.append(timestamp - scheduled_cooldown)
if failed_cooldown:
# Don't retry failed origins too often
where_clauses.append(
"origin_visit_stats.last_visit_status is distinct from 'failed' "
"or origin_visit_stats.last_visit < %s"
)
query_args.append(timestamp - failed_cooldown)
if not_found_cooldown:
# Don't retry not found origins too often
where_clauses.append(
"origin_visit_stats.last_visit_status is distinct from 'not_found' "
"or origin_visit_stats.last_visit < %s"
)
query_args.append(timestamp - not_found_cooldown)
if policy == "oldest_scheduled_first":
order_by = "origin_visit_stats.last_scheduled NULLS FIRST"
elif policy == "never_visited_oldest_update_first":
# never visited origins have a NULL last_snapshot
where_clauses.append("origin_visit_stats.last_snapshot IS NULL")
# order by increasing last_update (oldest first)
where_clauses.append("listed_origins.last_update IS NOT NULL")
order_by = "listed_origins.last_update"
elif policy == "already_visited_order_by_lag":
# TODO: store "visit lag" in a materialized view?
# visited origins have a NOT NULL last_snapshot
where_clauses.append("origin_visit_stats.last_snapshot IS NOT NULL")
# ignore origins we have visited after the known last update
where_clauses.append("listed_origins.last_update IS NOT NULL")
where_clauses.append(
"listed_origins.last_update > origin_visit_stats.last_successful"
)
# order by decreasing visit lag
order_by = (
"listed_origins.last_update - origin_visit_stats.last_successful DESC"
)
elif policy == "origins_without_last_update":
where_clauses.append("last_update IS NULL")
order_by = ", ".join(
[
# By default, sort using the queue position. If the queue
# position is null, then the origin has never been visited,
# which we want to handle first
"origin_visit_stats.next_visit_queue_position nulls first",
# Schedule unknown origins in the order we've seen them
"listed_origins.first_seen",
]
)
# fmt: off
# This policy requires updating the global queue position for this
# visit type
common_table_expressions.append(("update_queue_position", """
INSERT INTO
visit_scheduler_queue_position(visit_type, position)
SELECT
visit_type, COALESCE(MAX(next_visit_queue_position), now())
FROM selected_origins
GROUP BY visit_type
ON CONFLICT(visit_type) DO UPDATE
SET position=GREATEST(
visit_scheduler_queue_position.position, EXCLUDED.position
)
"""))
# fmt: on
else:
raise UnknownPolicy(f"Unknown scheduling policy {policy}")
if tablesample:
table = "listed_origins tablesample SYSTEM (%s)"
query_args.insert(0, tablesample)
else:
table = "listed_origins"
if lister_uuid:
where_clauses.append("lister_id = %s")
query_args.append(lister_uuid)
# fmt: off
common_table_expressions.insert(0, ("selected_origins", f"""
SELECT
{origin_select_cols}, next_visit_queue_position
FROM
{table}
LEFT JOIN
origin_visit_stats USING (url, visit_type)
WHERE
({") AND (".join(where_clauses)})
ORDER BY
{order_by}
LIMIT %s
"""))
# fmt: on
query_args.append(count)
# fmt: off
common_table_expressions.append(("deduplicated_selected_origins", """
SELECT DISTINCT
url, visit_type
FROM
selected_origins
"""))
# fmt: on
# fmt: off
common_table_expressions.append(("update_stats", """
INSERT INTO
origin_visit_stats (url, visit_type, last_scheduled)
SELECT
url, visit_type, %s
FROM
deduplicated_selected_origins
ON CONFLICT (url, visit_type) DO UPDATE
SET last_scheduled = GREATEST(
origin_visit_stats.last_scheduled,
EXCLUDED.last_scheduled
)
"""))
# fmt: on
query_args.append(timestamp)
formatted_ctes = ",\n".join(
f"{name} AS (\n{cte}\n)" for name, cte in common_table_expressions
)
query = f"""
WITH
{formatted_ctes}
SELECT
{origin_select_cols}
FROM
selected_origins
"""
cur.execute(query, tuple(query_args))
return [ListedOrigin(**d) for d in cur]
task_create_keys = [
"type",
"arguments",
"next_run",
"policy",
"status",
"retries_left",
"priority",
]
task_keys = task_create_keys + ["id", "current_interval"]
@db_transaction()
def create_tasks(self, tasks, policy="recurring", db=None, cur=None):
"""Create new tasks.
Args:
tasks (list): each task is a dictionary with the following keys:
- type (str): the task type
- arguments (dict): the arguments for the task runner, keys:
- args (list of str): arguments
- kwargs (dict str -> str): keyword arguments
- next_run (datetime.datetime): the next scheduled run for the
task
Returns:
a list of created tasks.
"""
cur.execute("select swh_scheduler_mktemp_task()")
db.copy_to(
tasks,
"tmp_task",
self.task_create_keys,
default_values={"policy": policy, "status": "next_run_not_scheduled"},
cur=cur,
)
query = format_query(
"select {keys} from swh_scheduler_create_tasks_from_temp()", self.task_keys,
)
cur.execute(query)
return cur.fetchall()
@db_transaction()
def set_status_tasks(
self,
task_ids: List[int],
status: str = "disabled",
next_run: Optional[datetime.datetime] = None,
db=None,
cur=None,
):
"""Set the tasks' status whose ids are listed.
If given, also set the next_run date.
"""
if not task_ids:
return
query = ["UPDATE task SET status = %s"]
args: List[Any] = [status]
if next_run:
query.append(", next_run = %s")
args.append(next_run)
query.append(" WHERE id IN %s")
args.append(tuple(task_ids))
cur.execute("".join(query), args)
@db_transaction()
def disable_tasks(self, task_ids, db=None, cur=None):
"""Disable the tasks whose ids are listed."""
return self.set_status_tasks(task_ids, db=db, cur=cur)
@db_transaction()
def search_tasks(
self,
task_id=None,
task_type=None,
status=None,
priority=None,
policy=None,
before=None,
after=None,
limit=None,
db=None,
cur=None,
):
"""Search tasks from selected criterions"""
where = []
args = []
if task_id:
if isinstance(task_id, (str, int)):
where.append("id = %s")
else:
where.append("id in %s")
task_id = tuple(task_id)
args.append(task_id)
if task_type:
if isinstance(task_type, str):
where.append("type = %s")
else:
where.append("type in %s")
task_type = tuple(task_type)
args.append(task_type)
if status:
if isinstance(status, str):
where.append("status = %s")
else:
where.append("status in %s")
status = tuple(status)
args.append(status)
if priority:
if isinstance(priority, str):
where.append("priority = %s")
else:
priority = tuple(priority)
where.append("priority in %s")
args.append(priority)
if policy:
where.append("policy = %s")
args.append(policy)
if before:
where.append("next_run <= %s")
args.append(before)
if after:
where.append("next_run >= %s")
args.append(after)
query = "select * from task"
if where:
query += " where " + " and ".join(where)
if limit:
query += " limit %s :: bigint"
args.append(limit)
cur.execute(query, args)
return cur.fetchall()
@db_transaction()
def get_tasks(self, task_ids, db=None, cur=None):
"""Retrieve the info of tasks whose ids are listed."""
query = format_query("select {keys} from task where id in %s", self.task_keys)
cur.execute(query, (tuple(task_ids),))
return cur.fetchall()
@db_transaction()
def peek_ready_tasks(
self,
task_type: str,
timestamp: Optional[datetime.datetime] = None,
num_tasks: Optional[int] = None,
db=None,
cur=None,
) -> List[Dict]:
if timestamp is None:
timestamp = utcnow()
cur.execute(
"""select * from swh_scheduler_peek_no_priority_tasks(
%s, %s, %s :: bigint)""",
(task_type, timestamp, num_tasks),
)
logger.debug("PEEK %s => %s" % (task_type, cur.rowcount))
return cur.fetchall()
@db_transaction()
def grab_ready_tasks(
self,
task_type: str,
timestamp: Optional[datetime.datetime] = None,
num_tasks: Optional[int] = None,
db=None,
cur=None,
) -> List[Dict]:
if timestamp is None:
timestamp = utcnow()
cur.execute(
"""select * from swh_scheduler_grab_ready_tasks(
%s, %s, %s :: bigint)""",
(task_type, timestamp, num_tasks),
)
logger.debug("GRAB %s => %s" % (task_type, cur.rowcount))
return cur.fetchall()
@db_transaction()
def peek_ready_priority_tasks(
self,
task_type: str,
timestamp: Optional[datetime.datetime] = None,
num_tasks: Optional[int] = None,
db=None,
cur=None,
) -> List[Dict]:
if timestamp is None:
timestamp = utcnow()
cur.execute(
"""select * from swh_scheduler_peek_any_ready_priority_tasks(
%s, %s, %s :: bigint)""",
(task_type, timestamp, num_tasks),
)
logger.debug("PEEK %s => %s", task_type, cur.rowcount)
return cur.fetchall()
@db_transaction()
def grab_ready_priority_tasks(
self,
task_type: str,
timestamp: Optional[datetime.datetime] = None,
num_tasks: Optional[int] = None,
db=None,
cur=None,
) -> List[Dict]:
if timestamp is None:
timestamp = utcnow()
cur.execute(
"""select * from swh_scheduler_grab_any_ready_priority_tasks(
%s, %s, %s :: bigint)""",
(task_type, timestamp, num_tasks),
)
logger.debug("GRAB %s => %s", task_type, cur.rowcount)
return cur.fetchall()
task_run_create_keys = ["task", "backend_id", "scheduled", "metadata"]
@db_transaction()
def schedule_task_run(
self, task_id, backend_id, metadata=None, timestamp=None, db=None, cur=None
):
"""Mark a given task as scheduled, adding a task_run entry in the database.
Args:
task_id (int): the identifier for the task being scheduled
backend_id (str): the identifier of the job in the backend
metadata (dict): metadata to add to the task_run entry
timestamp (datetime.datetime): the instant the event occurred
Returns:
a fresh task_run entry
"""
if metadata is None:
metadata = {}
if timestamp is None:
timestamp = utcnow()
cur.execute(
"select * from swh_scheduler_schedule_task_run(%s, %s, %s, %s)",
(task_id, backend_id, metadata, timestamp),
)
return cur.fetchone()
@db_transaction()
def mass_schedule_task_runs(self, task_runs, db=None, cur=None):
"""Schedule a bunch of task runs.
Args:
task_runs (list): a list of dicts with keys:
- task (int): the identifier for the task being scheduled
- backend_id (str): the identifier of the job in the backend
- metadata (dict): metadata to add to the task_run entry
- scheduled (datetime.datetime): the instant the event occurred
Returns:
None
"""
cur.execute("select swh_scheduler_mktemp_task_run()")
db.copy_to(task_runs, "tmp_task_run", self.task_run_create_keys, cur=cur)
cur.execute("select swh_scheduler_schedule_task_run_from_temp()")
@db_transaction()
def start_task_run(
self, backend_id, metadata=None, timestamp=None, db=None, cur=None
):
"""Mark a given task as started, updating the corresponding task_run
entry in the database.
Args:
backend_id (str): the identifier of the job in the backend
metadata (dict): metadata to add to the task_run entry
timestamp (datetime.datetime): the instant the event occurred
Returns:
the updated task_run entry
"""
if metadata is None:
metadata = {}
if timestamp is None:
timestamp = utcnow()
cur.execute(
"select * from swh_scheduler_start_task_run(%s, %s, %s)",
(backend_id, metadata, timestamp),
)
return cur.fetchone()
@db_transaction()
def end_task_run(
self,
backend_id,
status,
metadata=None,
timestamp=None,
result=None,
db=None,
cur=None,
):
"""Mark a given task as ended, updating the corresponding task_run entry in the
database.
Args:
backend_id (str): the identifier of the job in the backend
status (str): how the task ended; one of: 'eventful', 'uneventful',
'failed'
metadata (dict): metadata to add to the task_run entry
timestamp (datetime.datetime): the instant the event occurred
Returns:
the updated task_run entry
"""
if metadata is None:
metadata = {}
if timestamp is None:
timestamp = utcnow()
cur.execute(
"select * from swh_scheduler_end_task_run(%s, %s, %s, %s)",
(backend_id, status, metadata, timestamp),
)
return cur.fetchone()
@db_transaction()
def filter_task_to_archive(
self,
after_ts: str,
before_ts: str,
limit: int = 10,
page_token: Optional[str] = None,
db=None,
cur=None,
) -> Dict[str, Any]:
"""Compute the tasks to archive within the datetime interval
[after_ts, before_ts[. The method returns a paginated result.
Returns:
dict with the following keys:
- **next_page_token**: opaque token to be used as
`page_token` to retrieve the next page of result. If absent,
there is no more pages to gather.
- **tasks**: list of task dictionaries with the following keys:
**id** (str): origin task id
**started** (Optional[datetime]): started date
**scheduled** (datetime): scheduled date
**arguments** (json dict): task's arguments
...
"""
assert not page_token or isinstance(page_token, str)
last_id = -1 if page_token is None else int(page_token)
tasks = []
cur.execute(
"select * from swh_scheduler_task_to_archive(%s, %s, %s, %s)",
(after_ts, before_ts, last_id, limit + 1),
)
for row in cur:
task = dict(row)
# nested type index does not accept bare values
# transform it as a dict to comply with this
task["arguments"]["args"] = {
i: v for i, v in enumerate(task["arguments"]["args"])
}
kwargs = task["arguments"]["kwargs"]
task["arguments"]["kwargs"] = json.dumps(kwargs)
tasks.append(task)
if len(tasks) >= limit + 1: # remains data, add pagination information
result = {
"tasks": tasks[:limit],
"next_page_token": str(tasks[-1]["task_id"]),
}
else:
result = {"tasks": tasks}
return result
@db_transaction()
def delete_archived_tasks(self, task_ids, db=None, cur=None):
"""Delete archived tasks as much as possible. Only the task_ids whose
complete associated task_run have been cleaned up will be.
"""
_task_ids = _task_run_ids = []
for task_id in task_ids:
_task_ids.append(task_id["task_id"])
_task_run_ids.append(task_id["task_run_id"])
cur.execute(
"select * from swh_scheduler_delete_archived_tasks(%s, %s)",
(_task_ids, _task_run_ids),
)
task_run_keys = [
"id",
"task",
"backend_id",
"scheduled",
"started",
"ended",
"metadata",
"status",
]
@db_transaction()
def get_task_runs(self, task_ids, limit=None, db=None, cur=None):
"""Search task run for a task id"""
where = []
args = []
if task_ids:
if isinstance(task_ids, (str, int)):
where.append("task = %s")
else:
where.append("task in %s")
task_ids = tuple(task_ids)
args.append(task_ids)
else:
return ()
query = "select * from task_run where " + " and ".join(where)
if limit:
query += " limit %s :: bigint"
args.append(limit)
cur.execute(query, args)
return cur.fetchall()
@db_transaction()
def origin_visit_stats_upsert(
self, origin_visit_stats: Iterable[OriginVisitStats], db=None, cur=None
) -> None:
pk_cols = OriginVisitStats.primary_key_columns()
insert_cols, insert_meta = OriginVisitStats.insert_columns_and_metavars()
upsert_cols = [col for col in insert_cols if col not in pk_cols]
upsert_set = ", ".join(
f"{col} = coalesce(EXCLUDED.{col}, ovi.{col})" for col in upsert_cols
)
query = f"""
INSERT into origin_visit_stats AS ovi ({", ".join(insert_cols)})
VALUES %s
ON CONFLICT ({", ".join(pk_cols)}) DO UPDATE
SET {upsert_set}
"""
try:
psycopg2.extras.execute_values(
cur=cur,
sql=query,
argslist=(
attr.asdict(visit_stats) for visit_stats in origin_visit_stats
),
template=f"({', '.join(insert_meta)})",
page_size=1000,
fetch=False,
)
except CardinalityViolation as e:
raise SchedulerException(repr(e))
@db_transaction()
def origin_visit_stats_get(
self, ids: Iterable[Tuple[str, str]], db=None, cur=None
) -> List[OriginVisitStats]:
if not ids:
return []
primary_keys = tuple((origin, visit_type) for (origin, visit_type) in ids)
query = format_query(
"""
SELECT {keys}
FROM (VALUES %s) as stats(url, visit_type)
INNER JOIN origin_visit_stats USING (url, visit_type)
""",
OriginVisitStats.select_columns(),
)
rows = psycopg2.extras.execute_values(
cur=cur, sql=query, argslist=primary_keys, fetch=True
)
return [OriginVisitStats(**row) for row in rows]
@db_transaction()
def visit_scheduler_queue_position_get(
self, db=None, cur=None,
) -> Dict[str, datetime.datetime]:
cur.execute("SELECT visit_type, position FROM visit_scheduler_queue_position")
return {row["visit_type"]: row["position"] for row in cur}
@db_transaction()
def visit_scheduler_queue_position_set(
self, visit_type: str, position: datetime.datetime, db=None, cur=None,
) -> None:
query = """
INSERT INTO visit_scheduler_queue_position(visit_type, position)
VALUES(%s, %s)
ON CONFLICT(visit_type) DO UPDATE SET position=EXCLUDED.position
"""
cur.execute(query, (visit_type, position))
@db_transaction()
def update_metrics(
self,
lister_id: Optional[UUID] = None,
timestamp: Optional[datetime.datetime] = None,
db=None,
cur=None,
) -> List[SchedulerMetrics]:
"""Update the performance metrics of this scheduler instance.
Returns the updated metrics.
Args:
lister_id: if passed, update the metrics only for this lister instance
timestamp: if passed, the date at which we're updating the metrics,
defaults to the database NOW()
"""
query = format_query(
"SELECT {keys} FROM update_metrics(%s, %s)",
SchedulerMetrics.select_columns(),
)
cur.execute(query, (lister_id, timestamp))
return [SchedulerMetrics(**row) for row in cur.fetchall()]
@db_transaction()
def get_metrics(
self,
lister_id: Optional[UUID] = None,
visit_type: Optional[str] = None,
db=None,
cur=None,
) -> List[SchedulerMetrics]:
"""Retrieve the performance metrics of this scheduler instance.
Args:
lister_id: filter the metrics for this lister instance only
visit_type: filter the metrics for this visit type only
"""
where_filters = []
where_args = []
if lister_id:
where_filters.append("lister_id = %s")
where_args.append(str(lister_id))
if visit_type:
where_filters.append("visit_type = %s")
where_args.append(visit_type)
where_clause = ""
if where_filters:
where_clause = f"where {' and '.join(where_filters)}"
query = format_query(
"SELECT {keys} FROM scheduler_metrics %s" % where_clause,
SchedulerMetrics.select_columns(),
)
cur.execute(query, tuple(where_args))
return [SchedulerMetrics(**row) for row in cur.fetchall()]

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