Source code for swh.scheduler.model

# Copyright (C) 2020-2024  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
from enum import Enum
from typing import Any, Dict, List, Literal, Optional, Tuple, TypeVar, Union
from uuid import UUID

import attr
import attr.converters
from attrs_strict import type_validator


[docs] def check_timestamptz(value) -> None: """Checks the date has a timezone.""" if value is not None and value.tzinfo is None: raise ValueError("date must be a timezone-aware datetime.")
SchedulerModelType = TypeVar("SchedulerModelType", bound="BaseSchedulerModel")
[docs] @attr.s class BaseSchedulerModel: """Base class for database-backed objects. These database-backed objects are defined through attrs-based attributes that match the columns of the database 1:1. This is a (very) lightweight ORM. These attrs-based attributes have metadata specific to the functionality expected from these fields in the database: - `primary_key`: the column is a primary key; it should be filtered out when doing an `update` of the object - `auto_primary_key`: the column is a primary key, which is automatically handled by the database. It will not be inserted to. This must be matched with a database-side default value. - `auto_now_add`: the column is a timestamp that is set to the current time when the object is inserted, and never updated afterwards. This must be matched with a database-side default value. - `auto_now`: the column is a timestamp that is set to the current time when the object is inserted or updated. """ _pk_cols: Optional[Tuple[str, ...]] = None _select_cols: Optional[Tuple[str, ...]] = None _insert_cols_and_metavars: Optional[Tuple[Tuple[str, ...], Tuple[str, ...]]] = None
[docs] @classmethod def primary_key_columns(cls) -> Tuple[str, ...]: """Get the primary key columns for this object type""" if cls._pk_cols is None: columns: List[str] = [] for field in attr.fields(cls): if any( field.metadata.get(flag) for flag in ("auto_primary_key", "primary_key") ): columns.append(field.name) cls._pk_cols = tuple(sorted(columns)) return cls._pk_cols
[docs] @classmethod def select_columns(cls) -> Tuple[str, ...]: """Get all the database columns needed for a `select` on this object type""" if cls._select_cols is None: columns: List[str] = [] for field in attr.fields(cls): columns.append(field.name) cls._select_cols = tuple(sorted(columns)) return cls._select_cols
[docs] @classmethod def insert_columns_and_metavars(cls) -> Tuple[Tuple[str, ...], Tuple[str, ...]]: """Get the database columns and metavars needed for an `insert` or `update` on this object type. This implements support for the `auto_*` field metadata attributes. """ if cls._insert_cols_and_metavars is None: zipped_cols_and_metavars: List[Tuple[str, str]] = [] for field in attr.fields(cls): if any( field.metadata.get(flag) for flag in ("auto_now_add", "auto_primary_key") ): continue elif field.metadata.get("auto_now"): zipped_cols_and_metavars.append((field.name, "now()")) else: zipped_cols_and_metavars.append((field.name, f"%({field.name})s")) zipped_cols_and_metavars.sort() cols, metavars = zip(*zipped_cols_and_metavars) cls._insert_cols_and_metavars = cols, metavars return cls._insert_cols_and_metavars
[docs] def evolve(self: SchedulerModelType, **kwargs) -> SchedulerModelType: """Alias to call :func:`attr.evolve` on this object, returning a new object.""" return attr.evolve(self, **kwargs)
[docs] def to_dict(self: SchedulerModelType, **kwargs) -> Dict[str, Any]: """Alias to call :func:`attr.asdict` on this object.""" return attr.asdict(self, **kwargs)
[docs] def to_tuple(self: SchedulerModelType, **kwargs) -> Tuple[Any]: """Alias to call :func:`attr.astuple` on this object.""" return attr.astuple(self, **kwargs)
[docs] @attr.s class Lister(BaseSchedulerModel): name = attr.ib(type=str, validator=[type_validator()]) instance_name = attr.ib(type=str, validator=[type_validator()]) # Populated by database id = attr.ib( type=Optional[UUID], validator=type_validator(), default=None, metadata={"auto_primary_key": True}, ) current_state = attr.ib( type=Dict[str, Any], validator=[type_validator()], factory=dict ) created = attr.ib( type=Optional[datetime.datetime], validator=[type_validator()], default=None, metadata={"auto_now_add": True}, ) updated = attr.ib( type=Optional[datetime.datetime], validator=[type_validator()], default=None, metadata={"auto_now": True}, )
[docs] @attr.s class ListedOrigin(BaseSchedulerModel): """Basic information about a listed origin, output by a lister""" lister_id = attr.ib( type=UUID, validator=[type_validator()], metadata={"primary_key": True} ) url = attr.ib( type=str, validator=[type_validator()], metadata={"primary_key": True} ) visit_type = attr.ib( type=str, validator=[type_validator()], metadata={"primary_key": True} ) extra_loader_arguments = attr.ib( type=Dict[str, Any], validator=[type_validator()], factory=dict ) last_update = attr.ib( type=Optional[datetime.datetime], validator=[type_validator()], default=None, ) enabled = attr.ib(type=bool, validator=[type_validator()], default=True) first_seen = attr.ib( type=Optional[datetime.datetime], validator=[type_validator()], default=None, metadata={"auto_now_add": True}, ) last_seen = attr.ib( type=Optional[datetime.datetime], validator=[type_validator()], default=None, metadata={"auto_now": True}, )
[docs] class LastVisitStatus(Enum): successful = "successful" failed = "failed" not_found = "not_found"
[docs] def convert_last_visit_status( s: Union[None, str, LastVisitStatus] ) -> Optional[LastVisitStatus]: if not isinstance(s, str): return s return LastVisitStatus(s)
[docs] @attr.s(frozen=True, slots=True) class OriginVisitStats(BaseSchedulerModel): """Represents an aggregated origin visits view.""" url = attr.ib( type=str, validator=[type_validator()], metadata={"primary_key": True} ) visit_type = attr.ib( type=str, validator=[type_validator()], metadata={"primary_key": True} ) last_successful = attr.ib( type=Optional[datetime.datetime], validator=type_validator(), default=None ) last_visit = attr.ib( type=Optional[datetime.datetime], validator=type_validator(), default=None ) last_visit_status = attr.ib( type=Optional[LastVisitStatus], validator=type_validator(), default=None, converter=convert_last_visit_status, ) last_scheduled = attr.ib( type=Optional[datetime.datetime], validator=[type_validator()], default=None, ) last_snapshot = attr.ib( type=Optional[bytes], validator=type_validator(), default=None ) next_visit_queue_position = attr.ib( type=Optional[int], validator=type_validator(), default=None ) next_position_offset = attr.ib(type=int, validator=type_validator(), default=4) successive_visits = attr.ib(type=int, validator=type_validator(), default=1)
[docs] @last_successful.validator def check_last_successful(self, attribute, value): check_timestamptz(value)
[docs] @last_visit.validator def check_last_visit(self, attribute, value): check_timestamptz(value)
[docs] @attr.s(frozen=True, slots=True) class SchedulerMetrics(BaseSchedulerModel): """Metrics for the scheduler, aggregated by (lister_id, visit_type)""" lister_id = attr.ib( type=UUID, validator=[type_validator()], metadata={"primary_key": True} ) visit_type = attr.ib( type=str, validator=[type_validator()], metadata={"primary_key": True} ) last_update = attr.ib( type=Optional[datetime.datetime], validator=[type_validator()], default=None, ) origins_known = attr.ib(type=int, validator=[type_validator()], default=0) """Number of known (enabled or disabled) origins""" origins_enabled = attr.ib(type=int, validator=[type_validator()], default=0) """Number of origins that were present in the latest listings""" origins_never_visited = attr.ib(type=int, validator=[type_validator()], default=0) """Number of enabled origins that have never been visited (according to the visit cache)""" origins_with_pending_changes = attr.ib( type=int, validator=[type_validator()], default=0 ) """Number of enabled origins with known activity (recorded by a lister) since our last visit"""
[docs] @attr.s(frozen=True, slots=True) class TaskType(BaseSchedulerModel): """Type of schedulable tasks""" type = attr.ib( type=str, validator=[type_validator()], metadata={"primary_key": True} ) """Short identifier for the task type""" description = attr.ib(type=str, validator=[type_validator()]) """Human-readable task description""" backend_name = attr.ib(type=str, validator=[type_validator()]) """Name of the task in the job-running backend""" default_interval = attr.ib( type=Optional[datetime.timedelta], validator=[type_validator()], default=None ) """Default interval for newly scheduled tasks""" min_interval = attr.ib( type=Optional[datetime.timedelta], validator=[type_validator()], default=None ) """Minimum interval between two runs of a task""" max_interval = attr.ib( type=Optional[datetime.timedelta], validator=[type_validator()], default=None ) """Maximum interval between two runs of a task""" backoff_factor = attr.ib( type=Optional[float], validator=[type_validator()], default=None ) """Adjustment factor for the backoff between two task runs""" max_queue_length = attr.ib( type=Optional[int], validator=[type_validator()], default=1000 ) """Maximum length of the queue for this type of tasks, default to 1000 if not provided""" num_retries = attr.ib( type=Optional[int], validator=[type_validator()], default=None ) """Default number of retries on transient failures""" retry_delay = attr.ib( type=Optional[datetime.timedelta], validator=[type_validator()], default=None ) """Retry delay for the task"""
[docs] @attr.s(frozen=True, slots=True) class TaskArguments(BaseSchedulerModel): args = attr.ib(type=List[Any], validator=[type_validator()], default=[]) kwargs = attr.ib(type=Dict[str, Any], validator=[type_validator()], default={})
TaskStatus = Literal[ "next_run_not_scheduled", "next_run_scheduled", "completed", "disabled" ] TaskPolicy = Literal["recurring", "oneshot"] TaskPriority = Literal["high", "normal", "low"]
[docs] @attr.s(frozen=True, slots=True) class Task(BaseSchedulerModel): """Represents a schedulable task""" type = attr.ib(type=str, validator=[type_validator()]) """Task type""" arguments = attr.ib(type=TaskArguments, validator=[type_validator()]) """Task arguments passed to the underlying job scheduler""" next_run = attr.ib(type=datetime.datetime, validator=[type_validator()]) """The interval between two runs of this task taking into account the backoff factor""" status = attr.ib( type=TaskStatus, validator=[type_validator()], default="next_run_not_scheduled" ) """Status of the task""" policy = attr.ib(type=TaskPolicy, validator=[type_validator()], default="recurring") """Whether the task is one-shot or recurring""" retries_left = attr.ib( type=Optional[int], validator=[type_validator()], default=None ) """The number of "short delay" retries of the task in case of transient failure""" id = attr.ib( type=Optional[int], validator=[type_validator()], metadata={"primary_key": True}, default=None, ) """Task Identifier (populated by database)""" current_interval = attr.ib( type=Optional[datetime.timedelta], validator=[type_validator()], default=None ) """The next run of this task should be run on or after that time""" priority = attr.ib( type=Optional[TaskPriority], validator=[type_validator()], default=None ) """Priority of the task, either low, normal or high"""
TaskRunStatus = Literal[ "scheduled", "started", "eventful", "uneventful", "failed", "permfailed", "lost" ]
[docs] @attr.s(frozen=True, slots=True) class TaskRun(BaseSchedulerModel): """Represents the execution of a task sent to the job-running backend""" task = attr.ib(type=Optional[int], validator=[type_validator()]) """Task identifier""" id = attr.ib( type=Optional[int], validator=[type_validator()], metadata={"primary_key": True}, default=None, ) """Task run identifier (populated by database)""" backend_id = attr.ib(type=Optional[str], validator=[type_validator()], default=None) """id of the task run in the job-running backend""" scheduled = attr.ib( type=Optional[datetime.datetime], validator=[type_validator()], default=None ) """Scheduled run time for task""" started = attr.ib( type=Optional[datetime.datetime], validator=[type_validator()], default=None ) """Task starting time""" ended = attr.ib( type=Optional[datetime.datetime], validator=[type_validator()], default=None ) """Task ending time""" metadata = attr.ib( type=Optional[Dict[str, Any]], validator=[type_validator()], default=None ) """Useful metadata for the given task run. For instance, the worker that took on the job, or the logs for the run""" status = attr.ib( type=TaskRunStatus, validator=[type_validator()], default="scheduled" ) """Status of the task run"""