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settings.py
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settings.py
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"""
Prefect settings management.
Each setting is defined as a `Setting` type. The name of each setting is stylized in all
caps, matching the environment variable that can be used to change the setting.
All settings defined in this file are used to generate a dynamic Pydantic settings class
called `Settings`. When insantiated, this class will load settings from environment
variables and pull default values from the setting definitions.
The current instance of `Settings` being used by the application is stored in a
`SettingsContext` model which allows each instance of the `Settings` class to be
accessed in an async-safe manner.
Aside from environment variables, we allow settings to be changed during the runtime of
the process using profiles. Profiles contain setting overrides that the user may
persist without setting environment variables. Profiles are also used internally for
managing settings during task run execution where differing settings may be used
concurrently in the same process and during testing where we need to override settings
to ensure their value is respected as intended.
The `SettingsContext` is set when the `prefect` module is imported. This context is
referred to as the "root" settings context for clarity. Generally, this is the only
settings context that will be used. When this context is entered, we will instantiate
a `Settings` object, loading settings from environment variables and defaults, then we
will load the active profile and use it to override settings. See `enter_root_settings_context`
for details on determining the active profile.
Another `SettingsContext` may be entered at any time to change the settings being
used by the code within the context. Generally, users should not use this. Settings
management should be left to Prefect application internals.
Generally, settings should be accessed with `SETTING_VARIABLE.value()` which will
pull the current `Settings` instance from the current `SettingsContext` and retrieve
the value of the relevant setting.
Accessing a setting's value will also call the `Setting.value_callback` which allows
settings to be dynamically modified on retrieval. This allows us to make settings
dependent on the value of other settings or perform other dynamic effects.
"""
import logging
import os
import string
import warnings
from contextlib import contextmanager
from datetime import timedelta
from pathlib import Path
from typing import (
Any,
Callable,
Dict,
Generic,
Iterable,
List,
Mapping,
Optional,
Set,
Tuple,
Type,
TypeVar,
Union,
)
import pydantic
import toml
from pydantic import BaseSettings, Field, create_model, root_validator, validator
from typing_extensions import Literal
from prefect._internal.compatibility.deprecated import generate_deprecation_message
from prefect.exceptions import MissingProfileError
from prefect.utilities.names import OBFUSCATED_PREFIX, obfuscate
from prefect.utilities.pydantic import add_cloudpickle_reduction
T = TypeVar("T")
DEFAULT_PROFILES_PATH = Path(__file__).parent.joinpath("profiles.toml")
class Setting(Generic[T]):
"""
Setting definition type.
"""
def __init__(
self,
type: Type[T],
*,
deprecated: bool = False,
deprecated_start_date: Optional[str] = None,
deprecated_end_date: Optional[str] = None,
deprecated_help: str = "",
deprecated_when_message: str = "",
deprecated_when: Optional[Callable[[Any], bool]] = None,
deprecated_renamed_to: Optional["Setting"] = None,
value_callback: Callable[["Settings", T], T] = None,
is_secret: bool = False,
**kwargs,
) -> None:
self.field: pydantic.fields.FieldInfo = Field(**kwargs)
self.type = type
self.value_callback = value_callback
self._name = None
self.is_secret = is_secret
self.deprecated = deprecated
self.deprecated_start_date = deprecated_start_date
self.deprecated_end_date = deprecated_end_date
self.deprecated_help = deprecated_help
self.deprecated_when = deprecated_when or (lambda _: True)
self.deprecated_when_message = deprecated_when_message
self.deprecated_renamed_to = deprecated_renamed_to
self.deprecated_renamed_from = None
self.__doc__ = self.field.description
# Validate the deprecation settings, will throw an error at setting definition
# time if the developer has not configured it correctly
if deprecated:
generate_deprecation_message(
name="...", # setting names not populated until after init
start_date=self.deprecated_start_date,
end_date=self.deprecated_end_date,
help=self.deprecated_help,
when=self.deprecated_when_message,
)
if deprecated_renamed_to is not None:
# Track the deprecation both ways
deprecated_renamed_to.deprecated_renamed_from = self
def value(self, bypass_callback: bool = False) -> T:
"""
Get the current value of a setting.
Example:
```python
from prefect.settings import PREFECT_API_URL
PREFECT_API_URL.value()
```
"""
return self.value_from(get_current_settings(), bypass_callback=bypass_callback)
def value_from(self, settings: "Settings", bypass_callback: bool = False) -> T:
"""
Get the value of a setting from a settings object
Example:
```python
from prefect.settings import get_default_settings
PREFECT_API_URL.value_from(get_default_settings())
```
"""
value = settings.value_of(self, bypass_callback=bypass_callback)
if not bypass_callback and self.deprecated and self.deprecated_when(value):
# Check if this setting is deprecated and someone is accessing the value
# via the old name
warnings.warn(self.deprecated_message, DeprecationWarning, stacklevel=3)
# If the the value is empty, return the new setting's value for compat
if value is None and self.deprecated_renamed_to is not None:
return self.deprecated_renamed_to.value_from(settings)
if not bypass_callback and self.deprecated_renamed_from is not None:
# Check if this setting is a rename of a deprecated setting and the
# deprecated setting is set and should be used for compatibility
deprecated_value = self.deprecated_renamed_from.value_from(
settings, bypass_callback=True
)
if deprecated_value is not None:
warnings.warn(
(
f"{self.deprecated_renamed_from.deprecated_message} Because"
f" {self.deprecated_renamed_from.name!r} is set it will be used"
f" instead of {self.name!r} for backwards compatibility."
),
DeprecationWarning,
stacklevel=3,
)
return deprecated_value or value
return value
@property
def name(self):
if self._name:
return self._name
# Lookup the name on first access
for name, val in tuple(globals().items()):
if val == self:
self._name = name
return name
raise ValueError("Setting not found in `prefect.settings` module.")
@name.setter
def name(self, value: str):
self._name = value
@property
def deprecated_message(self):
return generate_deprecation_message(
name=f"Setting {self.name!r}",
start_date=self.deprecated_start_date,
end_date=self.deprecated_end_date,
help=self.deprecated_help,
when=self.deprecated_when_message,
)
def __repr__(self) -> str:
return f"<{self.name}: {self.type.__name__}>"
def __bool__(self) -> bool:
"""
Returns a truthy check of the current value.
"""
return bool(self.value())
def __eq__(self, __o: object) -> bool:
return __o.__eq__(self.value())
def __hash__(self) -> int:
return hash((type(self), self.name))
# Callbacks and validators
def get_extra_loggers(_: "Settings", value: str) -> List[str]:
"""
`value_callback` for `PREFECT_LOGGING_EXTRA_LOGGERS`that parses the CSV string into a
list and trims whitespace from logger names.
"""
return [name.strip() for name in value.split(",")] if value else []
def expanduser_in_path(_, value: Path) -> Path:
return value.expanduser()
def debug_mode_log_level(settings, value):
"""
`value_callback` for `PREFECT_LOGGING_LEVEL` that overrides the log level to DEBUG
when debug mode is enabled.
"""
if PREFECT_DEBUG_MODE.value_from(settings):
return "DEBUG"
else:
return value
def only_return_value_in_test_mode(settings, value):
"""
`value_callback` for `PREFECT_TEST_SETTING` that only allows access during test mode
"""
if PREFECT_TEST_MODE.value_from(settings):
return value
else:
return None
def default_ui_api_url(settings, value):
"""
`value_callback` for `PREFECT_UI_API_URL` that sets the default value to
`PREFECT_API_URL` if set otherwise it constructs an API URL from the API settings.
"""
if value is None:
# Set a default value
if PREFECT_API_URL.value_from(settings):
value = "${PREFECT_API_URL}"
else:
value = "http://${PREFECT_SERVER_API_HOST}:${PREFECT_SERVER_API_PORT}/api"
return template_with_settings(
PREFECT_SERVER_API_HOST, PREFECT_SERVER_API_PORT, PREFECT_API_URL
)(settings, value)
def template_with_settings(*upstream_settings: Setting) -> Callable[["Settings", T], T]:
"""
Returns a `value_callback` that will template the given settings into the runtime
value for the setting.
"""
def templater(settings, value):
if value is None:
return value # Do not attempt to template a null string
original_type = type(value)
template_values = {
setting.name: setting.value_from(settings) for setting in upstream_settings
}
template = string.Template(str(value))
return original_type(template.substitute(template_values))
return templater
def max_log_size_smaller_than_batch_size(values):
"""
Validator for settings asserting the batch size and match log size are compatible
"""
if (
values["PREFECT_LOGGING_TO_API_BATCH_SIZE"]
< values["PREFECT_LOGGING_TO_API_MAX_LOG_SIZE"]
):
raise ValueError(
"`PREFECT_LOGGING_TO_API_MAX_LOG_SIZE` cannot be larger than"
" `PREFECT_LOGGING_TO_API_BATCH_SIZE`"
)
return values
def warn_on_database_password_value_without_usage(values):
"""
Validator for settings warning if the database password is set but not used.
"""
value = values["PREFECT_API_DATABASE_PASSWORD"]
if (
value
and not value.startswith(OBFUSCATED_PREFIX)
and (
"PREFECT_API_DATABASE_PASSWORD"
not in values["PREFECT_API_DATABASE_CONNECTION_URL"]
)
):
warnings.warn(
"PREFECT_API_DATABASE_PASSWORD is set but not included in the "
"PREFECT_API_DATABASE_CONNECTION_URL. "
"The provided password will be ignored."
)
return values
def check_for_deprecated_cloud_url(settings, value):
deprecated_value = PREFECT_CLOUD_URL.value_from(settings, bypass_callback=True)
if deprecated_value is not None:
warnings.warn(
(
"`PREFECT_CLOUD_URL` is set and will be used instead of"
" `PREFECT_CLOUD_API_URL` for backwards compatibility."
" `PREFECT_CLOUD_URL` is deprecated, set `PREFECT_CLOUD_API_URL`"
" instead."
),
DeprecationWarning,
)
return deprecated_value or value
def default_database_connection_url(settings, value):
templater = template_with_settings(PREFECT_HOME, PREFECT_API_DATABASE_PASSWORD)
# If the user has provided a value, use it
if value is not None:
return templater(settings, value)
# Otherwise, the default is a database in a local file
home = PREFECT_HOME.value_from(settings)
old_default = home / "orion.db"
new_default = home / "prefect.db"
# If the old one exists and the new one does not, continue using the old one
if old_default.exists() and not new_default.exists():
return "sqlite+aiosqlite:///" + str(old_default)
# Otherwise, return the new default
return "sqlite+aiosqlite:///" + str(new_default)
def default_ui_url(settings, value):
if value is not None:
return value
# Otherwise, infer a value from the API URL
ui_url = api_url = PREFECT_API_URL.value_from(settings)
if not api_url:
return None
cloud_url = PREFECT_CLOUD_API_URL.value_from(settings)
cloud_ui_url = PREFECT_CLOUD_UI_URL.value_from(settings)
if api_url.startswith(cloud_url):
ui_url = ui_url.replace(cloud_url, cloud_ui_url)
if ui_url.endswith("/api"):
# Handles open-source APIs
ui_url = ui_url[:-4]
# Handles Cloud APIs with content after `/api`
ui_url = ui_url.replace("/api/", "/")
# Update routing
ui_url = ui_url.replace("/accounts/", "/account/")
ui_url = ui_url.replace("/workspaces/", "/workspace/")
return ui_url
def default_cloud_ui_url(settings, value):
if value is not None:
return value
# Otherwise, infer a value from the API URL
ui_url = api_url = PREFECT_CLOUD_API_URL.value_from(settings)
if api_url.startswith("https://api.prefect.cloud"):
ui_url = ui_url.replace(
"https://api.prefect.cloud", "https://app.prefect.cloud", 1
)
if ui_url.endswith("/api"):
ui_url = ui_url[:-4]
return ui_url
# Setting definitions
PREFECT_HOME = Setting(
Path,
default=Path("~") / ".prefect",
value_callback=expanduser_in_path,
)
"""Prefect's home directory. Defaults to `~/.prefect`. This
directory may be created automatically when required.
"""
PREFECT_EXTRA_ENTRYPOINTS = Setting(
str,
default="",
)
"""
Modules for Prefect to import when Prefect is imported.
Values should be separated by commas, e.g. `my_module,my_other_module`.
Objects within modules may be specified by a ':' partition, e.g. `my_module:my_object`.
If a callable object is provided, it will be called with no arguments on import.
"""
PREFECT_DEBUG_MODE = Setting(
bool,
default=False,
)
"""If `True`, places the API in debug mode. This may modify
behavior to facilitate debugging, including extra logs and other verbose
assistance. Defaults to `False`.
"""
PREFECT_CLI_COLORS = Setting(
bool,
default=True,
)
"""If `True`, use colors in CLI output. If `False`,
output will not include colors codes. Defaults to `True`.
"""
PREFECT_CLI_WRAP_LINES = Setting(
bool,
default=True,
)
"""If `True`, wrap text by inserting new lines in long lines
in CLI output. If `False`, output will not be wrapped. Defaults to `True`.
"""
PREFECT_TEST_MODE = Setting(
bool,
default=False,
)
"""If `True`, places the API in test mode. This may modify
behavior to faciliate testing. Defaults to `False`.
"""
PREFECT_TEST_SETTING = Setting(
Any,
default=None,
value_callback=only_return_value_in_test_mode,
)
"""
This variable only exists to faciliate testing of settings.
If accessed when `PREFECT_TEST_MODE` is not set, `None` is returned.
"""
PREFECT_API_TLS_INSECURE_SKIP_VERIFY = Setting(
bool,
default=False,
)
"""If `True`, disables SSL checking to allow insecure requests.
This is recommended only during development, e.g. when using self-signed certificates.
"""
PREFECT_API_URL = Setting(
str,
default=None,
)
"""
If provided, the URL of a hosted Prefect API. Defaults to `None`.
When using Prefect Cloud, this will include an account and workspace.
"""
PREFECT_API_KEY = Setting(
str,
default=None,
is_secret=True,
)
"""API key used to authenticate with a the Prefect API. Defaults to `None`."""
PREFECT_API_ENABLE_HTTP2 = Setting(bool, default=True)
"""
If true, enable support for HTTP/2 for communicating with an API.
If the API does not support HTTP/2, this will have no effect and connections will be
made via HTTP/1.1.
"""
PREFECT_CLOUD_API_URL = Setting(
str,
default="https://api.prefect.cloud/api",
value_callback=check_for_deprecated_cloud_url,
)
"""API URL for Prefect Cloud. Used for authentication."""
PREFECT_CLOUD_URL = Setting(
str,
default=None,
deprecated=True,
deprecated_start_date="Dec 2022",
deprecated_help="Use `PREFECT_CLOUD_API_URL` instead.",
)
"""
DEPRECATED: Use `PREFECT_CLOUD_API_URL` instead.
"""
PREFECT_UI_URL = Setting(
Optional[str],
default=None,
value_callback=default_ui_url,
)
"""
The URL for the UI. By default, this is inferred from the PREFECT_API_URL.
When using Prefect Cloud, this will include the account and workspace.
When using an ephemeral server, this will be `None`.
"""
PREFECT_CLOUD_UI_URL = Setting(
str,
default=None,
value_callback=default_cloud_ui_url,
)
"""
The URL for the Cloud UI. By default, this is inferred from the PREFECT_CLOUD_API_URL.
Note: PREFECT_UI_URL will be workspace specific and will be usable in the open source too.
In contrast, this value is only valid for Cloud and will not include the workspace.
"""
PREFECT_API_REQUEST_TIMEOUT = Setting(
float,
default=30.0,
)
"""The default timeout for requests to the API"""
PREFECT_EXPERIMENTAL_WARN = Setting(bool, default=True)
"""
If enabled, warn on usage of expirimental features.
"""
PREFECT_PROFILES_PATH = Setting(
Path,
default=Path("${PREFECT_HOME}") / "profiles.toml",
value_callback=template_with_settings(PREFECT_HOME),
)
"""The path to a profiles configuration files."""
PREFECT_RESULTS_DEFAULT_SERIALIZER = Setting(
str,
default="pickle",
)
"""The default serializer to use when not otherwise specified."""
PREFECT_RESULTS_PERSIST_BY_DEFAULT = Setting(
bool,
default=False,
)
"""
The default setting for persisting results when not otherwise specified. If enabled,
flow and task results will be persisted unless they opt out.
"""
PREFECT_TASKS_REFRESH_CACHE = Setting(
bool,
default=False,
)
"""
If `True`, enables a refresh of cached results: re-executing the
task will refresh the cached results. Defaults to `False`.
"""
PREFECT_LOCAL_STORAGE_PATH = Setting(
Path,
default=Path("${PREFECT_HOME}") / "storage",
value_callback=template_with_settings(PREFECT_HOME),
)
"""The path to a directory to store things in."""
PREFECT_MEMO_STORE_PATH = Setting(
Path,
default=Path("${PREFECT_HOME}") / "memo_store.toml",
value_callback=template_with_settings(PREFECT_HOME),
)
"""The path to the memo store file."""
PREFECT_MEMOIZE_BLOCK_AUTO_REGISTRATION = Setting(
bool,
default=True,
)
"""
Controls whether or not block auto-registration on start
up should be memoized. Setting to False may result in slower server start
up times.
"""
PREFECT_LOGGING_LEVEL = Setting(
str,
default="INFO",
value_callback=debug_mode_log_level,
)
"""
The default logging level for Prefect loggers. Defaults to
"INFO" during normal operation. Is forced to "DEBUG" during debug mode.
"""
PREFECT_LOGGING_SERVER_LEVEL = Setting(
str,
default="WARNING",
)
"""The default logging level for the Prefect API server."""
PREFECT_LOGGING_SETTINGS_PATH = Setting(
Path,
default=Path("${PREFECT_HOME}") / "logging.yml",
value_callback=template_with_settings(PREFECT_HOME),
)
"""
The path to a custom YAML logging configuration file. If
no file is found, the default `logging.yml` is used.
Defaults to a logging.yml in the Prefect home directory.
"""
PREFECT_LOGGING_EXTRA_LOGGERS = Setting(
str,
default="",
value_callback=get_extra_loggers,
)
"""
Additional loggers to attach to Prefect logging at runtime.
Values should be comma separated. The handlers attached to the 'prefect' logger
will be added to these loggers. Additionally, if the level is not set, it will
be set to the same level as the 'prefect' logger.
"""
PREFECT_LOGGING_LOG_PRINTS = Setting(
bool,
default=False,
)
"""
If set, `print` statements in flows and tasks will be redirected to the Prefect logger
for the given run. This setting can be overriden by individual tasks and flows.
"""
PREFECT_LOGGING_TO_API_ENABLED = Setting(
bool,
default=True,
)
"""
Toggles sending logs to the API.
If `False`, logs sent to the API log handler will not be sent to the API.
"""
PREFECT_LOGGING_TO_API_BATCH_INTERVAL = Setting(float, default=2.0)
"""The number of seconds between batched writes of logs to the API."""
PREFECT_LOGGING_TO_API_BATCH_SIZE = Setting(
int,
default=4_000_000,
)
"""The maximum size in bytes for a batch of logs."""
PREFECT_LOGGING_TO_API_MAX_LOG_SIZE = Setting(
int,
default=1_000_000,
)
"""The maximum size in bytes for a single log."""
PREFECT_LOGGING_TO_API_WHEN_MISSING_FLOW = Setting(
Literal["warn", "error", "ignore"],
default="warn",
)
"""
Controls the behavior when loggers attempt to send logs to the API handler from outside
of a flow.
All logs sent to the API must be associated with a flow run. The API log handler can
only be used outside of a flow by manually providing a flow run identifier. Logs
that are not associated with a flow run will not be sent to the API. This setting can
be used to determine if a warning or error is displayed when the identifier is missing.
The following options are available:
- "warn": Log a warning message.
- "error": Raise an error.
- "ignore": Do not log a warning message or raise an error.
"""
PREFECT_LOGGING_COLORS = Setting(
bool,
default=True,
)
"""Whether to style console logs with color."""
PREFECT_LOGGING_MARKUP = Setting(
bool,
default=False,
)
"""
Whether to interpret strings wrapped in square brackets as a style.
This allows styles to be conveniently added to log messages, e.g.
`[red]This is a red message.[/red]`. However, the downside is,
if enabled, strings that contain square brackets may be inaccurately
interpreted and lead to incomplete output, e.g.
`DROP TABLE [dbo].[SomeTable];"` outputs `DROP TABLE .[SomeTable];`.
"""
PREFECT_AGENT_QUERY_INTERVAL = Setting(
float,
default=10,
)
"""
The agent loop interval, in seconds. Agents will check for new runs this often.
Defaults to `10`.
"""
PREFECT_AGENT_PREFETCH_SECONDS = Setting(
int,
default=10,
)
"""
Agents will look for scheduled runs this many seconds in
the future and attempt to run them. This accounts for any additional
infrastructure spin-up time or latency in preparing a flow run. Note
flow runs will not start before their scheduled time, even if they are
prefetched. Defaults to `10`.
"""
PREFECT_ASYNC_FETCH_STATE_RESULT = Setting(bool, default=False)
"""
Determines whether `State.result()` fetches results automatically or not.
In Prefect 2.6.0, the `State.result()` method was updated to be async
to faciliate automatic retrieval of results from storage which means when
writing async code you must `await` the call. For backwards compatibility,
the result is not retrieved by default for async users. You may opt into this
per call by passing `fetch=True` or toggle this setting to change the behavior
globally.
This setting does not affect users writing synchronous tasks and flows.
This setting does not affect retrieval of results when using `Future.result()`.
"""
PREFECT_API_BLOCKS_REGISTER_ON_START = Setting(
bool,
default=True,
)
"""
If set, any block types that have been imported will be registered with the
backend on application startup. If not set, block types must be manually
registered.
"""
PREFECT_API_DATABASE_PASSWORD = Setting(
str,
default=None,
is_secret=True,
)
"""
Password to template into the `PREFECT_API_DATABASE_CONNECTION_URL`.
This is useful if the password must be provided separately from the connection URL.
To use this setting, you must include it in your connection URL.
"""
PREFECT_API_DATABASE_CONNECTION_URL = Setting(
str,
default=None,
value_callback=default_database_connection_url,
is_secret=True,
)
"""
A database connection URL in a SQLAlchemy-compatible
format. Prefect currently supports SQLite and Postgres. Note that all
Prefect database engines must use an async driver - for SQLite, use
`sqlite+aiosqlite` and for Postgres use `postgresql+asyncpg`.
SQLite in-memory databases can be used by providing the url
`sqlite+aiosqlite:///file::memory:?cache=shared&uri=true&check_same_thread=false`,
which will allow the database to be accessed by multiple threads. Note
that in-memory databases can not be accessed from multiple processes and
should only be used for simple tests.
Defaults to a sqlite database stored in the Prefect home directory.
If you need to provide password via a different environment variable, you use
the `PREFECT_API_DATABASE_PASSWORD` setting. For example:
```
PREFECT_API_DATABASE_PASSWORD='mypassword'
PREFECT_API_DATABASE_CONNECTION_URL='postgresql+asyncpg://postgres:${PREFECT_API_DATABASE_PASSWORD}@localhost/prefect'
```
"""
PREFECT_API_DATABASE_ECHO = Setting(
bool,
default=False,
)
"""If `True`, SQLAlchemy will log all SQL issued to the database. Defaults to `False`."""
PREFECT_API_DATABASE_MIGRATE_ON_START = Setting(
bool,
default=True,
)
"""If `True`, the database will be upgraded on application creation. If `False`, the database will need to be upgraded manually."""
PREFECT_API_DATABASE_TIMEOUT = Setting(
Optional[float],
default=10.0,
)
"""
A statement timeout, in seconds, applied to all database interactions made by the API.
Defaults to 10 seconds.
"""
PREFECT_API_DATABASE_CONNECTION_TIMEOUT = Setting(
Optional[float],
default=5,
)
"""A connection timeout, in seconds, applied to database
connections. Defaults to `5`.
"""
PREFECT_API_SERVICES_SCHEDULER_LOOP_SECONDS = Setting(
float,
default=60,
)
"""The scheduler loop interval, in seconds. This determines
how often the scheduler will attempt to schedule new flow runs, but has no
impact on how quickly either flow runs or task runs are actually executed.
Defaults to `60`.
"""
PREFECT_API_SERVICES_SCHEDULER_DEPLOYMENT_BATCH_SIZE = Setting(
int,
default=100,
)
"""The number of deployments the scheduler will attempt to
schedule in a single batch. If there are more deployments than the batch
size, the scheduler immediately attempts to schedule the next batch; it
does not sleep for `scheduler_loop_seconds` until it has visited every
deployment once. Defaults to `100`.
"""
PREFECT_API_SERVICES_SCHEDULER_MAX_RUNS = Setting(
int,
default=100,
)
"""The scheduler will attempt to schedule up to this many
auto-scheduled runs in the future. Note that runs may have fewer than
this many scheduled runs, depending on the value of
`scheduler_max_scheduled_time`. Defaults to `100`.
"""
PREFECT_API_SERVICES_SCHEDULER_MIN_RUNS = Setting(
int,
default=3,
)
"""The scheduler will attempt to schedule at least this many
auto-scheduled runs in the future. Note that runs may have more than
this many scheduled runs, depending on the value of
`scheduler_min_scheduled_time`. Defaults to `3`.
"""
PREFECT_API_SERVICES_SCHEDULER_MAX_SCHEDULED_TIME = Setting(
timedelta,
default=timedelta(days=100),
)
"""The scheduler will create new runs up to this far in the
future. Note that this setting will take precedence over
`scheduler_max_runs`: if a flow runs once a month and
`scheduler_max_scheduled_time` is three months, then only three runs will be
scheduled. Defaults to 100 days (`8640000` seconds).
"""
PREFECT_API_SERVICES_SCHEDULER_MIN_SCHEDULED_TIME = Setting(
timedelta,
default=timedelta(hours=1),
)
"""The scheduler will create new runs at least this far in the
future. Note that this setting will take precedence over `scheduler_min_runs`:
if a flow runs every hour and `scheduler_min_scheduled_time` is three hours,
then three runs will be scheduled even if `scheduler_min_runs` is 1. Defaults to
1 hour (`3600` seconds).
"""
PREFECT_API_SERVICES_SCHEDULER_INSERT_BATCH_SIZE = Setting(
int,
default=500,
)
"""The number of flow runs the scheduler will attempt to insert
in one batch across all deployments. If the number of flow runs to
schedule exceeds this amount, the runs will be inserted in batches of this size.
Defaults to `500`.
"""
PREFECT_API_SERVICES_LATE_RUNS_LOOP_SECONDS = Setting(
float,
default=5,
)
"""The late runs service will look for runs to mark as late
this often. Defaults to `5`.
"""
PREFECT_API_SERVICES_LATE_RUNS_AFTER_SECONDS = Setting(
timedelta,
default=timedelta(seconds=5),
)
"""The late runs service will mark runs as late after they
have exceeded their scheduled start time by this many seconds. Defaults
to `5` seconds.
"""
PREFECT_API_SERVICES_PAUSE_EXPIRATIONS_LOOP_SECONDS = Setting(
float,
default=5,
)
"""The pause expiration service will look for runs to mark as failed
this often. Defaults to `5`.
"""
PREFECT_API_SERVICES_CANCELLATION_CLEANUP_LOOP_SECONDS = Setting(
float,
default=20,
)
"""The cancellation cleanup service will look non-terminal tasks and subflows
this often. Defaults to `20`.
"""
PREFECT_API_DEFAULT_LIMIT = Setting(
int,
default=200,
)
"""The default limit applied to queries that can return
multiple objects, such as `POST /flow_runs/filter`.
"""
PREFECT_SERVER_API_HOST = Setting(
str,
default="127.0.0.1",
)
"""The API's host address (defaults to `127.0.0.1`)."""
PREFECT_SERVER_API_PORT = Setting(
int,
default=4200,
)
"""The API's port address (defaults to `4200`)."""
PREFECT_SERVER_API_KEEPALIVE_TIMEOUT = Setting(
int,
default=5,
)
"""
The API's keep alive timeout (defaults to `5`).
Refer to https://www.uvicorn.org/settings/#timeouts for details.
When the API is hosted behind a load balancer, you may want to set this to a value
greater than the load balancer's idle timeout.
Note this setting only applies when calling `prefect server start`; if hosting the
API with another tool you will need to configure this there instead.
"""
PREFECT_UI_ENABLED = Setting(
bool,
default=True,
)
"""Whether or not to serve the Prefect UI."""