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"""
A Demo CSP Gateway application
NOTE: The webserver tests use this code internally to validate rest endpoints,
and those tests in turn ensure that this demo works.
"""
from datetime import date, datetime, timedelta
from logging import INFO, basicConfig
from pathlib import Path
from random import choice
from string import ascii_lowercase
from typing import Annotated, Dict, List
import csp
import numpy as np
from csp import Enum, ts
from csp.typing import Numpy1DArray
from perspective import Server as PerspectiveServer, Table as PerspectiveTable
from pydantic import AfterValidator, Field, field_validator
from csp_gateway import (
Controls,
Gateway,
GatewayChannels,
GatewayModule,
GatewaySettings,
GatewayStructMixins,
IdType,
MountChannelsGraph,
MountControls,
MountOutputsFolder,
MountPerspectiveTables,
MountRestRoutes,
MountWebSocketRoutes,
State,
)
from csp_gateway.server.config import load_gateway
SPEED = timedelta(seconds=1)
SCALE = 10
# Let's walk through a worked example.
# First, we want to define the edges that will be available to our modules.
# In `csp-gateway` dialect, these deferred edges are called `channels`.
# Let's define a few `csp` `Struct` and `Enum` to go with them.
# NOTE: See below for the entry point to run this example
__all__ = (
"ExampleCspStruct",
"ExampleData",
"ExampleEnum",
"ExampleGatewayChannels",
"ExampleModule",
"ExampleModuleCustomTable",
"ExampleModuleFeedback",
"ExampleModuleCustomTable",
)
class ExampleCspStruct(csp.Struct):
z: int = 12
def nonnegative_check(v):
if v < 0:
raise ValueError("value must be non-negative.")
return v
class ExampleDataBase(csp.Struct):
x: Annotated[int, AfterValidator(nonnegative_check)]
y: str = ""
z: str = ""
internal_csp_struct: ExampleCspStruct = ExampleCspStruct()
data: Numpy1DArray[float] = np.array([])
mapping: Dict[str, int] = {}
dt: datetime = datetime.today()
d: date = datetime.today().date()
@classmethod
def __get_validator_dict__(cls):
return {"_validate_example": field_validator("x", mode="after")(nonnegative_check)}
# We can just add in the mixins to make an existing csp.Struct
# csp-gateway compatible, but we also could have defined
# ExampleDataBase to inherit from GatewayStruct directly
class ExampleData(*GatewayStructMixins, ExampleDataBase):
id: IdType
timestamp: datetime
class ExampleEnum(Enum):
A = 1
B = 2
C = 3
def __lt__(self, other):
# so csp doesn't complain about memoization
return self.value < other.value
# `MyGatewayChannels` is the collection of lazily-connected `csp` edges that will be provided to all modules in our graph.
# The modules in our graph are `pydantic`-wrapped `csp` modules, that use the `channel` APIs to connect to edges.
# Let's define a simple one.
class ExampleGatewayChannels(GatewayChannels):
metadata: Dict[str, str] = {"name": "Demo"}
example: ts[ExampleData] = None
example_list: ts[List[ExampleData]] = None
never_ticks: ts[ExampleData] = None
# State fields can be added via annotation or the `set_state` API in the module's `connect` method
example_with_state: Annotated[ts[ExampleData], State(("id", "x"))] = None
example_with_state_multiple: Annotated[
ts[ExampleData],
State(("id", "x")),
State(("id", "y"), alias="example_with_state_alternative"),
] = None
# example: Set in connect with a different schema, to show flexibility of state definition
basket: Dict[ExampleEnum, ts[ExampleData]] = None
str_basket: Dict[str, ts[ExampleData]] = None
# FIXME
# basket_list: Dict[ExampleEnum, ts[[ExampleData]]] = None
# NOTE: this second one is not populated with data so will 404
# Controls channels for webserver/graph admin
controls: ts[Controls] = None
# Custom perspective manager, shared across modules to allow for custom table definitions
perspective: PerspectiveServer = Field(default_factory=PerspectiveServer)
# A `GatewayModule` has two important features.
# First, it is a typed `pydantic` model, so you can define attributes in the usual `pydantic` way.
# Second, it has a `connect` method that will be provided the `GatewayChannels` instance when the graph is eventually wired together.
# You can use `get_channel` and `set_channel` to read-from and publish-to `csp` edges, respectively.
class ExampleModule(GatewayModule):
interval: timedelta = SPEED
# An example module that ticks some data in a struct
@csp.node
def subscribe(
self,
trigger: ts[bool],
multiplier: int = 3,
) -> ts[ExampleData]:
with csp.state():
last_x = 0
if csp.ticked(trigger):
last_x += 1
return ExampleData(
x=last_x,
y=str(last_x) * multiplier,
z=choice(ascii_lowercase),
data=np.random.random((SCALE,)),
mapping={str(last_x): last_x},
)
# An example module that ticks some data in a [struct]
@csp.node
def subscribe_list(
self,
data: ts[ExampleData],
) -> ts[List[ExampleData]]:
if csp.ticked(data):
return [data]
def dynamic_keys(self):
return {ExampleGatewayChannels.str_basket: ["a", "b", "c"]}
def connect(self, channels: ExampleGatewayChannels):
# Create some CSP data streams
data = self.subscribe(csp.timer(interval=self.interval, value=True))
data_list = self.subscribe_list(data)
# Channels set via `set_channel`
channels.set_channel(ExampleGatewayChannels.example, data)
channels.set_channel(ExampleGatewayChannels.example_list, data_list)
channels.set_channel(ExampleGatewayChannels.example_with_state, data)
channels.set_channel(ExampleGatewayChannels.example_with_state_multiple, data)
# Generic channel for sending data from non-csp sources
channels.add_send_channel(ExampleGatewayChannels.example)
channels.add_send_channel(ExampleGatewayChannels.basket, ExampleEnum.A)
channels.add_send_channel(ExampleGatewayChannels.basket, ExampleEnum.B)
channels.add_send_channel(ExampleGatewayChannels.basket, ExampleEnum.C)
channels.add_send_channel(ExampleGatewayChannels.basket)
# State accumulation via `set_state`
channels.set_state(
data,
"example",
("id",),
)
# Create some data streams for dict baskets
data_a = self.subscribe(
csp.timer(interval=self.interval, value=True),
multiplier=ExampleEnum.A.value,
)
data_b = self.subscribe(
csp.timer(interval=self.interval, value=True),
multiplier=ExampleEnum.B.value,
)
data_c = self.subscribe(
csp.timer(interval=self.interval, value=True),
multiplier=ExampleEnum.C.value,
)
# Dict basket channels can be set as a whole, or via individual keys
channels.set_channel(ExampleGatewayChannels.basket, data_a, ExampleEnum.A)
channels.set_channel(ExampleGatewayChannels.basket, data_b, ExampleEnum.B)
channels.set_channel(ExampleGatewayChannels.basket, data_c, ExampleEnum.C)
channels.set_channel(ExampleGatewayChannels.str_basket, data_a, "a")
channels.set_channel(ExampleGatewayChannels.str_basket, data_b, "b")
channels.set_channel(ExampleGatewayChannels.str_basket, data_c, "c")
class ExampleModuleFeedback(GatewayModule):
interval: timedelta = SPEED
# An example module that ticks some data in a struct
@csp.node
def subscribe(
self,
data: ts[ExampleData],
) -> ts[ExampleData]:
if csp.ticked(data):
if data.x % 2 == 0:
return ExampleData(
x=data.x + 1,
y=data.y,
)
def connect(self, channels: ExampleGatewayChannels):
# Channels set via `set_channel`
data = channels.get_channel(ExampleGatewayChannels.example)
fb_data = self.subscribe(data)
channels.set_channel(ExampleGatewayChannels.example, fb_data)
# Dict basket channels can be set as a whole, or via individual keys
channels.set_channel(ExampleGatewayChannels.basket, fb_data, ExampleEnum.A)
class ExampleModuleCustomTable(GatewayModule):
"""This shows how you can customize the perspective tables."""
table_name: str = "my_custom_table"
def connect(self, channels: ExampleGatewayChannels):
perspective_client = channels.perspective.new_local_client()
my_table = perspective_client.table(dict(timestamp=datetime, x=int, y=str), limit=None, index="y", name=self.table_name)
example = channels.get_channel(ExampleGatewayChannels.example)
example_list = csp.unroll(channels.get_channel(ExampleGatewayChannels.example_list))
# Merge multiple channels into a single stream for display
# One could also do joins or any other custom combination/transformation of channels
merged_data = csp.merge(example, example_list)
self.push_to_perspective(merged_data, my_table)
@csp.node
def push_to_perspective( # type: ignore[no-untyped-def]
self,
timeseries: ts[ExampleData],
table: PerspectiveTable,
):
with csp.alarms():
alarm: ts[bool] = csp.alarm(bool)
with csp.state():
s_buffer = []
with csp.start():
csp.schedule_alarm(alarm, timedelta(seconds=0.5), True)
if csp.ticked(timeseries):
s_buffer.append(
{
"timestamp": timeseries.timestamp.timestamp(),
"x": timeseries.x,
"y": timeseries.y,
}
)
if csp.ticked(alarm):
if len(s_buffer) > 0:
table.update(s_buffer)
s_buffer.clear()
csp.schedule_alarm(alarm, timedelta(seconds=0.5), True)
if __name__ == "__main__":
# csp-gateway is configured as a hydra application, but it can also
# be instantiated directly as we do so here:
# Setting authentication
settings = GatewaySettings()
# instantiate gateway
gateway = Gateway(
settings=settings,
modules=[
ExampleModule(),
ExampleModuleFeedback(),
ExampleModuleCustomTable(),
MountChannelsGraph(),
MountControls(),
MountOutputsFolder(),
MountPerspectiveTables(
perspective_field="perspective",
layouts={
"Server Defined Layout": '{"sizes":[1],"detail":{"main":{"type":"split-area","orientation":"vertical","children":[{"type":"split-area","orientation":"horizontal","children":[{"type":"tab-area","widgets":["EXAMPLE_LIST_GENERATED_4"],"currentIndex":0},{"type":"tab-area","widgets":["PERSPECTIVE_GENERATED_ID_1"],"currentIndex":0}],"sizes":[0.3,0.7]},{"type":"split-area","orientation":"horizontal","children":[{"type":"tab-area","widgets":["EXAMPLE_GENERATED_3"],"currentIndex":0},{"type":"tab-area","widgets":["PERSPECTIVE_GENERATED_ID_0"],"currentIndex":0}],"sizes":[0.3,0.7]}],"sizes":[0.5,0.5]}},"viewers":{"EXAMPLE_LIST_GENERATED_4":{"version":"3.3.4","plugin":"Datagrid","plugin_config":{"columns":{},"edit_mode":"READ_ONLY","scroll_lock":false},"columns_config":{},"title":"example_list","group_by":[],"split_by":[],"columns":["timestamp","x","y","data","mapping","dt","d","internal_csp_struct.z"],"filter":[],"sort":[["timestamp","desc"]],"expressions":{},"aggregates":{},"table":"example_list","settings":false},"PERSPECTIVE_GENERATED_ID_1":{"version":"3.3.4","plugin":"X Bar","plugin_config":{},"columns_config":{},"title":"example_list (*)","group_by":["x"],"split_by":[],"columns":["y"],"filter":[],"sort":[["x","asc"]],"expressions":{},"aggregates":{"y":"median"},"table":"example_list","settings":false},"EXAMPLE_GENERATED_3":{"version":"3.3.4","plugin":"Datagrid","plugin_config":{"columns":{},"edit_mode":"READ_ONLY","scroll_lock":false},"columns_config":{},"title":"example","group_by":[],"split_by":[],"columns":["timestamp","x","y","data","mapping","dt","d","internal_csp_struct.z"],"filter":[],"sort":[["timestamp","desc"]],"expressions":{},"aggregates":{},"table":"example","settings":false},"PERSPECTIVE_GENERATED_ID_0":{"version":"3.3.4","plugin":"Treemap","plugin_config":{},"columns_config":{},"title":"example (*)","group_by":["x"],"split_by":[],"columns":["y","x",null],"filter":[],"sort":[["timestamp","desc"]],"expressions":{},"aggregates":{},"table":"example","settings":false}}}' # noqa: E501
},
limits={"str_basket": 20},
architectures={"basket": "server"},
indexes={"example": ["x", "y"]},
server_views={
"server_view": {
"table": "example",
"group_by": ["z"],
},
},
update_interval=timedelta(seconds=1),
),
MountRestRoutes(force_mount_all=True),
MountWebSocketRoutes(),
],
channels=ExampleGatewayChannels(),
)
# To run, we could run our object directly:
# gateway.start(rest=True, ui=True)
# But instead, lets run the same code via hydra
# We can use our own custom config, in config/demo.yaml
# which inherits from csp-gateway's example config.
#
# With hydra, we can easily construct hierarchichal,
# extensible configurations for all our modules!
gateway = load_gateway(
overrides=["+config=omnibus"],
config_dir=Path(__file__).parent,
)
# Set our log level to info. If using hydra,
# we have even more configuration options at our disposal
basicConfig(level=INFO)
# Start the gateway
gateway.start(rest=True, ui=True)
# You can also run this directly via cli
# > pip install csp-gateway
# > csp-gateway-start --config-dir=csp_gateway/server/demo +config=omnibus