from typing import Any, Dict, List, Optional, Tuple, Union
from typing_extensions import Annotated, Literal, NotRequired, TypedDict
from .generate.type_wrapper import Field, add_extra_schema
Dtype = Literal["string", "number", "array", "boolean", "integer"]
class LimitsRange(TypedDict):
low: Optional[float]
high: Optional[float]
class Limits(TypedDict):
"""
Epics limits:
see 3.4.1 https://epics.anl.gov/base/R3-14/12-docs/AppDevGuide/node4.html
"""
control: NotRequired[Annotated[LimitsRange, Field(description="Control limits.")]]
display: NotRequired[Annotated[LimitsRange, Field(description="Display limits.")]]
warning: NotRequired[Annotated[LimitsRange, Field(description="Warning limits.")]]
alarm: NotRequired[Annotated[LimitsRange, Field(description="Alarm limits.")]]
_ConstrainedDtype = Annotated[
str,
Field(
description="A numpy dtype e.g `<U9`, `<f16`",
pattern="[|<>][tbiufcmMOSUV][0-9]+",
),
]
_ConstrainedDtypeNpStructure = List[Tuple[str, _ConstrainedDtype]]
[docs]
class DataKey(TypedDict):
"""Describes the objects in the data property of Event documents"""
limits: NotRequired[Annotated[Limits, Field(description="Epics limits.")]]
choices: NotRequired[
Annotated[List[str], Field(description="Choices of enum value.")]
]
dims: NotRequired[
Annotated[
List[str],
Field(
description="The names for dimensions of the data. Null or empty list "
"if scalar data",
),
]
]
dtype: Annotated[
Dtype,
Field(
description=(
"The type of the data in the event, given as a broad "
"JSON schema type."
)
),
]
dtype_numpy: NotRequired[
Annotated[
Union[_ConstrainedDtype, _ConstrainedDtypeNpStructure],
Field(
description=(
"The type of the data in the event, given as a "
"numpy dtype string (or, for structured dtypes, array)."
)
),
]
]
external: NotRequired[
Annotated[
str,
Field(
description="Where the data is stored if it is stored external "
"to the events",
pattern=r"^[A-Z]+:?",
),
]
]
object_name: NotRequired[
Annotated[
str,
Field(description="The name of the object this key was pulled from."),
]
]
precision: NotRequired[
Annotated[
Optional[int],
Field(
description="Number of digits after decimal place if "
"a floating point number"
),
]
]
shape: Annotated[
List[int],
Field(description="The shape of the data. Empty list indicates scalar data."),
]
source: Annotated[
str, Field(description="The source (ex piece of hardware) of the data.")
]
units: NotRequired[
Annotated[Optional[str], Field(description="Engineering units of the value")]
]
class PerObjectHint(TypedDict):
"""The 'interesting' data keys for this device."""
fields: NotRequired[
Annotated[
List[str],
Field(description="The 'interesting' data keys for this device."),
]
]
NX_class: NotRequired[
Annotated[
str,
Field(
description="The NeXus class definition for this device.",
pattern=r"^NX[A-Za-z_]+$",
),
]
]
class Configuration(TypedDict):
data: NotRequired[
Annotated[Dict[str, Any], Field(description="The actual measurement data")]
]
data_keys: NotRequired[
Annotated[
Dict[str, DataKey],
Field(
description="This describes the data stored alongside it in this "
"configuration object."
),
]
]
timestamps: NotRequired[
Annotated[
Dict[str, Any],
Field(description="The timestamps of the individual measurement data"),
]
]
EVENT_DESCRIPTOR_EXTRA_SCHEMA = {
"patternProperties": {"^([^./]+)$": {"$ref": "#/$defs/DataType"}},
"$defs": {
"DataType": {
"title": "DataType",
"patternProperties": {"^([^./]+)$": {"$ref": "#/$defs/DataType"}},
"additionalProperties": False,
},
},
"additionalProperties": False,
}
@add_extra_schema(EVENT_DESCRIPTOR_EXTRA_SCHEMA)
class EventDescriptor(TypedDict):
"""Document to describe the data captured in the associated event
documents"""
configuration: NotRequired[
Annotated[
Dict[str, Configuration],
Field(
description="Readings of configurational fields necessary for "
"interpreting data in the Events.",
),
]
]
data_keys: Annotated[
Dict[str, DataKey],
Field(
description="This describes the data in the Event Documents.",
title="data_keys",
),
]
hints: NotRequired[PerObjectHint]
name: NotRequired[
Annotated[
str,
Field(
description="A human-friendly name for this data stream, such as "
"'primary' or 'baseline'.",
),
]
]
object_keys: NotRequired[
Annotated[
Dict[str, Any],
Field(
description="Maps a Device/Signal name to the names of the entries "
"it produces in data_keys.",
),
]
]
run_start: Annotated[
str, Field(description="Globally unique ID of this run's 'start' document.")
]
time: Annotated[
float, Field(description="Creation time of the document as unix epoch time.")
]
uid: Annotated[
str,
Field(description="Globally unique ID for this event descriptor.", title="uid"),
]
