diff --git a/.github/workflows/cd.yaml b/.github/workflows/cd.yaml
index a100033..40b762a 100644
--- a/.github/workflows/cd.yaml
+++ b/.github/workflows/cd.yaml
@@ -41,7 +41,6 @@ jobs:
- name: Publish to PyPI
env:
- TWINE_USERNAME: __token__
- TWINE_PASSWORD: ${{ secrets.PYPI_TOKEN }}
+ UV_PUBLISH_TOKEN: ${{ secrets.PYPI_TOKEN }}
run: |
- uvx twine upload dist/*
+ uvx publish
diff --git a/docs/index.md b/docs/index.md
index 7e53edd..d017837 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -1154,10 +1154,14 @@ print(signal)
def list(
unit_or_device: int | UnitInputDict | UnitInput | UnitOutput
| DeviceInputDict | DeviceInput | DeviceOutput,
- pagination_options: PaginationOptions[Literal["id", "name",
- "physical_unit", "data_type",
- "description",
- "long_description"]]
+ pagination_options: PaginationOptions[Literal[
+ "id",
+ "name",
+ "physical_unit",
+ "data_type",
+ "description",
+ "long_description",
+ ]]
| None = None
) -> PaginatedResponse[SignalListOutput]
```
@@ -1248,10 +1252,14 @@ print(signals)
```python
def list_by_workspace_id(
workspace_id: int,
- pagination_options: PaginationOptions[Literal["id", "name",
- "physical_unit", "data_type",
- "description",
- "long_description"]]
+ pagination_options: PaginationOptions[Literal[
+ "id",
+ "name",
+ "physical_unit",
+ "data_type",
+ "description",
+ "long_description",
+ ]]
| None = None
) -> PaginatedResponse[SignalListOutput]
```
@@ -1314,10 +1322,14 @@ print(signals)
```python
def list_by_asset_id(
asset_id: int,
- pagination_options: PaginationOptions[Literal["id", "name",
- "physical_unit", "data_type",
- "description",
- "long_description"]]
+ pagination_options: PaginationOptions[Literal[
+ "id",
+ "name",
+ "physical_unit",
+ "data_type",
+ "description",
+ "long_description",
+ ]]
| None = None
) -> PaginatedResponse[SignalListOutput]
```
@@ -1381,10 +1393,14 @@ print(signals)
```python
def list_by_division_id(
division_id: int,
- pagination_options: PaginationOptions[Literal["id", "name",
- "physical_unit", "data_type",
- "description",
- "long_description"]]
+ pagination_options: PaginationOptions[Literal[
+ "id",
+ "name",
+ "physical_unit",
+ "data_type",
+ "description",
+ "long_description",
+ ]]
| None = None
) -> PaginatedResponse[SignalListOutput]
```
@@ -1777,272 +1793,473 @@ Client for interacting with the Nortech Derivers API.
**Attributes**:
- `nortech_api` _NortechAPI_ - The Nortech API client.
+
+
+**Example**:
+
+ To define a deriver, you need to create a class that inherits from the Deriver class.
+ The class must have two inner classes: Inputs and Outputs.
+ The Inputs class must inherit from DeriverInputs and the Outputs class must inherit from DeriverOutputs.
+ The Inputs class must define the inputs of the deriver.
+ The Outputs class must define the outputs of the deriver.
+ The run method must be defined and return a bytewax stream.
+
+```python
+import bytewax.operators as op
+
+from nortech.derivers import Deriver, DeriverInput, DeriverInputs, DeriverOutput, DeriverOutputs
+
-#### deploy\_deriver
+class MyDeriver(Deriver):
+ class Inputs(DeriverInputs):
+ input_1: float | None = DeriverInput(
+ workspace="workspace1", asset="asset1", division="division1", unit="unit1", signal="signal1"
+ )
+ input_2: float | None = DeriverInput(
+ workspace="workspace2", asset="asset2", division="division2", unit="unit2", signal="signal2"
+ )
+
+ class Outputs(DeriverOutputs):
+ output_1: float = DeriverOutput(
+ workspace="workspace1",
+ asset="asset1",
+ division="division1",
+ unit="unit1",
+ signal="new_signal1",
+ description="output_1",
+ long_description="output_1_long_description",
+ physical_unit="m/s",
+ )
+ output_2: str = DeriverOutput(
+ workspace="workspace2",
+ asset="asset2",
+ division="division2",
+ unit="unit2",
+ signal="new_signal2",
+ description="output_2",
+ long_description="output_2_long_description",
+ physical_unit="m/s",
+ )
+
+ def run(self, inputs: op.Stream[Inputs]) -> op.Stream[Outputs]:
+ return op.map(
+ "",
+ inputs,
+ lambda _input: self.Outputs(
+ timestamp=_input.timestamp,
+ output_1=_input.input_1 or 0,
+ output_2=str(_input.input_2),
+ ),
+ )
+```
+
+#### list
```python
-def deploy_deriver(deriver: Deriver,
- workspace: str | None = None,
- dry_run: bool = True) -> DeriverDiffs
+def list(
+ pagination_options: PaginationOptions[Literal["id", "name", "description"]]
+ | None = None)
```
-Deploy a deriver to a workspace.
+List derivers.
**Arguments**:
-- `deriver` _Deriver_ - The deriver to deploy.
-- `workspace` _str, optional_ - The workspace to deploy to. Defaults to None.
-- `dry_run` _bool, optional_ - Whether to perform a dry run. Defaults to True.
+- `pagination_options` _PaginationOptions, optional_ - The pagination options. Defaults to None.
**Returns**:
-- `DeriverDiffs` - The deriver diffs.
+- `PaginatedResponse[DeployedDeriver]` - Paginated response of derivers.
**Example**:
```python
-from datetime import datetime
+# Define Deriver
+class MyDeriver(Deriver):
+ ...
-from pydantic import Field
-from nortech import Nortech
-from nortech.derivers import (
- Deriver,
- DeriverInput,
- DeriverOutput,
- physical_units,
-)
+nortech = Nortech()
+derivers = nortech.derivers.list()
+print(derivers)
+# PaginatedResponse(
+# size=1,
+# next=None,
+# data=[
+# DeployedDeriverList(
+# deriver=MyDeriver,
+# description="my-description",
+# start_at=None,
+# )
+# ],
+# )
+```
+#### get
-def create_test_schema():
- import bytewax.operators as op
- from bytewax.dataflow import Stream
- from pydantic import BaseModel
+```python
+def get(deriver: str | type[Deriver])
+```
- from nortech.derivers import (
- DeriverInputSchema,
- DeriverOutputSchema,
- DeriverSchema,
- InputField,
- OutputField,
- physical_units,
- )
+Get a deriver.
- class Input(DeriverInputSchema):
- input_signal: float | None = InputField(
- description="Input signal description",
- physical_quantity=physical_units.temperature,
- )
+**Arguments**:
- class Output(DeriverOutputSchema):
- output_signal: float | None = OutputField(
- description="Output signal description",
- physical_quantity=physical_units.temperature,
- create_deriver_schema=create_test_schema,
- )
+- `deriver` _type[Deriver]_ - Deriver class to fetch or deriver class name.
+
- class Configurations(BaseModel):
- configuration_value: float = Field(
- description="Configuration value description",
- )
+**Returns**:
- def transform_stream(
- stream: Stream[Input],
- config: Configurations,
- ) -> Stream[Output]:
- output_stream = op.map(
- step_id="map_output",
- up=stream,
- mapper=lambda input_message: Output(
- timestamp=input_message.timestamp,
- output_signal=input_message.input_signal * config.configuration_value
- if input_message.input_signal is not None
- else None,
- ),
- )
+- `DeployedDeriver` - Deployed deriver.
+
- return output_stream
+**Example**:
- return DeriverSchema(
- name="Test Schema",
- description="Test Schema description",
- inputs=Input,
- outputs=Output,
- configurations=Configurations,
- transform_stream=transform_stream,
- )
+```python
+# Define Deriver
+class MyDeriver(Deriver):
+ ...
+nortech = Nortech()
+derivers = nortech.derivers.get(MyDeriver)
+print(derivers)
+# DeployedDeriver(
+# deriver=MyDeriver,
+# description="my-description",
+# start_at="2025-01-01T12:00:00Z",
+# inputs=[
+# SignalOutputNoDevice(
+# id=1,
+# name="input_1",
+# description="input_1",
+# long_description="input_1_long_description",
+# data_type="float",
+# physical_unit="m/s",
+# created_at="2025-01-01T12:00:00Z",
+# updated_at="2025-01-01T12:00:00Z",
+# workspace=MetadataOutput(
+# id=1,
+# name="workspace1",
+# ),
+# asset=MetadataOutput(
+# id=1,
+# name="asset1",
+# ),
+# division=MetadataOutput(
+# id=1,
+# name="division1",
+# ),
+# unit=MetadataOutput(
+# id=1,
+# name="unit1",
+# ),
+# ),
+# ],
+# outputs=[
+# SignalOutputNoDevice(
+# id=2,
+# name="output_1",
+# description="output_1",
+# long_description="output_1_long_description",
+# data_type="float",
+# physical_unit="m/s",
+# created_at="2025-01-01T12:00:00Z",
+# updated_at="2025-01-01T12:00:00Z",
+# workspace=MetadataOutput(
+# id=1,
+# name="workspace1",
+# ),
+# asset=MetadataOutput(
+# id=1,
+# name="asset1",
+# ),
+# division=MetadataOutput(
+# id=1,
+# name="division1",
+# ),
+# unit=MetadataOutput(
+# id=1,
+# name="unit1",
+# ),
+# ),
+# ]
+# )
+```
-deriver_schema = create_test_schema()
+#### create
-inputs = {
- deriver_schema.inputs.input_signal: DeriverInput(
- workspace="Workspace",
- asset="Asset",
- division="Division",
- unit="Unit",
- signal="Signal",
- physicalUnit=physical_units.celsius,
- )
-}
+```python
+def create(deriver: type[Deriver],
+ start_at: datetime | None = None,
+ description: str | None = None,
+ create_parents: bool = False)
+```
-outputs = {
- deriver_schema.outputs.output_signal: DeriverOutput(
- workspace="Workspace",
- asset="Asset",
- division="Division",
- unit="Unit",
- signal="Signal",
- physicalUnit=physical_units.celsius,
- )
-}
+Create a deriver.
-configurations = deriver_schema.configurations(
- configuration_value=2.0,
-)
+**Arguments**:
-deriver = Deriver(
- name="Test Deriver",
- description="Test Deriver description",
- inputs=inputs,
- outputs=outputs,
- configurations=configurations,
- start_at=datetime(2022, 1, 1, 0, 0, 0),
- create_deriver_schema=create_test_schema,
-)
+- `deriver` _type[Deriver]_ - Deriver class to create.
+- `start_at` _datetime | None, optional_ - The start time for the deriver. Defaults to current time.
+- `description` _str | None, optional_ - The description for the deriver. Defaults to None.
+- `create_parents` _bool, optional_ - Whether to create parent entities. Defaults to False.
+
-nortech = Nortech()
+**Returns**:
-diffs = nortech.derivers.deploy_deriver(deriver)
+- `DeployedDeriver` - Deployed deriver.
+
-print(diffs)
-# DeriverDiffs(
-# deriver_schemas={
-# "Test Schema": SchemaDiff(
-# old=Schema(
+**Example**:
+
+```python
+# Define Deriver
+class MyDeriver(Deriver):
+ ...
+
+nortech = Nortech()
+derivers = nortech.derivers.create(MyDeriver, start_at=datetime.now(timezone.utc), description="my-description")
+print(derivers)
+# DeployedDeriver(
+# deriver=MyDeriver,
+# description="my-description",
+# start_at=None,
+# inputs=[
+# SignalOutputNoDevice(
+# id=1,
+# name="input_1",
+# description="input_1",
+# long_description="input_1_long_description",
+# data_type="float",
+# physical_unit="m/s",
+# created_at="2025-01-01T12:00:00Z",
+# updated_at="2025-01-01T12:00:00Z",
+# workspace=MetadataOutput(
# id=1,
-# hash="hash",
-# history_id=1,
-# created_at=datetime(2022, 1, 1, 0, 0, 0),
-# updated_at=datetime(2022, 1, 1, 0, 0, 0),
+# name="workspace1",
# ),
-# new=Schema(
+# asset=MetadataOutput(
# id=1,
-# hash="hash",
-# history_id=1,
-# created_at=datetime(2022, 1, 1, 0, 0, 0),
-# updated_at=datetime(2022, 1, 1, 0, 0, 0),
+# name="asset1",
# ),
-# )
-# },
-# derivers={
-# "Test Deriver": SchemaDiff(
-# old=Schema(
+# division=MetadataOutput(
# id=1,
-# hash="hash",
-# history_id=1,
-# created_at=datetime(2022, 1, 1, 0, 0, 0),
-# updated_at=datetime(2022, 1, 1, 0, 0, 0),
+# name="division1",
# ),
-# new=Schema(
+# unit=MetadataOutput(
# id=1,
-# hash="hash",
-# history_id=1,
-# created_at=datetime(2022, 1, 1, 0, 0, 0),
-# updated_at=datetime(2022, 1, 1, 0, 0, 0),
+# name="unit1",
# ),
-# )
-# },
+# ),
+# ],
+# outputs=[
+# SignalOutputNoDevice(
+# id=2,
+# name="output_1",
+# description="output_1",
+# long_description="output_1_long_description",
+# data_type="float",
+# physical_unit="m/s",
+# created_at="2025-01-01T12:00:00Z",
+# updated_at="2025-01-01T12:00:00Z",
+# workspace=MetadataOutput(
+# id=1,
+# name="workspace1",
+# ),
+# asset=MetadataOutput(
+# id=1,
+# name="asset1",
+# ),
+# division=MetadataOutput(
+# id=1,
+# name="division1",
+# ),
+# unit=MetadataOutput(
+# id=1,
+# name="unit1",
+# ),
+# ),
+# ]
# )
```
-#### visualize\_deriver\_schema
+#### update
```python
-def visualize_deriver_schema(
- create_deriver_schema: Callable[[], DeriverSchema]) -> None
+def update(deriver: type[Deriver],
+ start_at: datetime | None = None,
+ description: str | None = None,
+ create_parents: bool = False,
+ keep_data: bool = False)
```
-Visualize a deriver schema as a mermaid diagram rendered as markdown in all frontends.
+Update a deriver.
-By default all representations will be computed and sent to the frontends.
-Frontends can decide which representation is used and how.
+**Arguments**:
-In terminal IPython this will be similar to using :func:`print`, for use in richer
-frontends see Jupyter notebook examples with rich display logic.
+- `deriver` _type[Deriver]_ - Deriver class to update.
+- `start_at` _datetime | None, optional_ - The start time for the deriver. Defaults to current time.
+- `description` _str | None, optional_ - The description for the deriver. Defaults to None.
+- `create_parents` _bool, optional_ - Whether to create parent workspaces. Defaults to False.
+- `keep_data` _bool, optional_ - Whether to keep the data. Defaults to False.
+
-**Arguments**:
+**Returns**:
-- `create_deriver_schema` _Callable[[], DeriverSchema]_ - A function that creates a deriver schema.
+- `DeployedDeriver` - Deployed deriver.
**Example**:
```python
-from nortech import Nortech
-
-nortech = Nortech()
-
-# Define a function that creates a Deriver Schema
-def create_test_schema():
+# Define Deriver
+class MyDeriver(Deriver):
...
- return DeriverSchema(...)
-# Visualize the schema
-nortech.derivers.visualize_deriver_schema(create_test_schema)
+nortech = Nortech()
+derivers = nortech.derivers.update(MyDeriver, start_at=datetime.now(timezone.utc), description="my-description")
+print(derivers)
+# DeployedDeriver(
+# deriver=MyDeriver,
+# description="my-description",
+# start_at=None,
+# inputs=[
+# SignalOutputNoDevice(
+# id=1,
+# name="input_1",
+# description="input_1",
+# long_description="input_1_long_description",
+# data_type="float",
+# physical_unit="m/s",
+# created_at="2025-01-01T12:00:00Z",
+# updated_at="2025-01-01T12:00:00Z",
+# workspace=MetadataOutput(
+# id=1,
+# name="workspace1",
+# ),
+# asset=MetadataOutput(
+# id=1,
+# name="asset1",
+# ),
+# division=MetadataOutput(
+# id=1,
+# name="division1",
+# ),
+# unit=MetadataOutput(
+# id=1,
+# name="unit1",
+# ),
+# ),
+# ],
+# outputs=[
+# SignalOutputNoDevice(
+# id=2,
+# name="output_1",
+# description="output_1",
+# long_description="output_1_long_description",
+# data_type="float",
+# physical_unit="m/s",
+# created_at="2025-01-01T12:00:00Z",
+# updated_at="2025-01-01T12:00:00Z",
+# workspace=MetadataOutput(
+# id=1,
+# name="workspace1",
+# ),
+# asset=MetadataOutput(
+# id=1,
+# name="asset1",
+# ),
+# division=MetadataOutput(
+# id=1,
+# name="division1",
+# ),
+# unit=MetadataOutput(
+# id=1,
+# name="unit1",
+# ),
+# ),
+# ]
+# )
```
-#### visualize\_deriver
+#### run\_locally\_with\_df
```python
-def visualize_deriver(deriver: Deriver) -> None
+def run_locally_with_df(deriver: type[Deriver],
+ df: DataFrame,
+ batch_size: int = 10000) -> DataFrame
```
-Visualize a deriver as a mermaid diagram rendered as markdown in all frontends.
+Run a deriver locally on a DataFrame. The dataframe must have a timestamp index and columns equal to the input names in the deriver definition.
-By default all representations will be computed and sent to the frontends.
-Frontends can decide which representation is used and how.
+**Arguments**:
-In terminal IPython this will be similar to using :func:`print`, for use in richer
-frontends see Jupyter notebook examples with rich display logic.
+- `deriver` _Deriver_ - The deriver to run.
+- `batch_size` _int, optional_ - The batch size for processing. Defaults to 10000.
+- `df` _DataFrame_ - The input DataFrame.
+
-**Arguments**:
+**Returns**:
-- `deriver` _Deriver_ - The deriver to visualize.
+- `DataFrame` - The processed DataFrame with derived signals.
**Example**:
```python
+from datetime import datetime, timezone
+
from nortech import Nortech
+from nortech.derivers import Deriver, TimeWindow
+
+class MyDeriver(Deriver):
+ ...
nortech = Nortech()
-# Create Deriver
-deriver = ...
+# Create input DataFrame
+df = pd.DataFrame(
+ {
+ "timestamp": pd.date_range(start="2023-01-01", periods=100, freq="s", tz=timezone.utc),
+ "input_signal": [float(i) for i in range(100)],
+ }
+).set_index("timestamp")
-# Visualize the deriver
-nortech.derivers.visualize_deriver(deriver)
+# Run the deriver locally
+result_df = nortech.derivers.run_locally_with_df(MyDeriver, df, batch_size=5000)
+
+print(result_df)
+# output_signal
+# timestamp
+# 2023-01-01 00:00:00+00:00 0.0
+# 2023-01-01 00:00:01+00:00 2.0
+# 2023-01-01 00:00:02+00:00 4.0
+# 2023-01-01 00:00:03+00:00 6.0
+# 2023-01-01 00:00:04+00:00 8.0
+# ... ...
+# 2023-01-01 00:01:35+00:00 190.0
+# 2023-01-01 00:01:36+00:00 192.0
+# 2023-01-01 00:01:37+00:00 194.0
+# 2023-01-01 00:01:38+00:00 196.0
+# 2023-01-01 00:01:39+00:00 198.0
```
-#### run\_deriver\_locally
+#### run\_locally\_with\_source\_data
```python
-def run_deriver_locally(df: DataFrame,
- deriver: Deriver[InputType, OutputType,
- ConfigurationType, DeriverInputType,
- DeriverOutputType],
- batch_size: int = 10000) -> DataFrame
+def run_locally_with_source_data(deriver: type[Deriver],
+ time_window: TimeWindow,
+ batch_size: int = 10000) -> DataFrame
```
-Run a deriver locally on a DataFrame.
+Run a deriver locally by fetching its inputs signal data for a given time window.
**Arguments**:
-- `df` _DataFrame_ - The input DataFrame.
- `deriver` _Deriver_ - The deriver to run.
+- `time_window` _TimeWindow_ - The time window to process.
- `batch_size` _int, optional_ - The batch size for processing. Defaults to 10000.
@@ -2054,16 +2271,15 @@ Run a deriver locally on a DataFrame.
**Example**:
```python
-from datetime import timezone
-
-import pandas as pd
+from datetime import datetime, timezone
from nortech import Nortech
+from nortech.derivers import Deriver, TimeWindow
-nortech = Nortech()
+class MyDeriver(Deriver):
+ ...
-# Create Deriver
-deriver = ...
+nortech = Nortech()
# Create input DataFrame or use nortech.datatools to get data
df = pd.DataFrame(
@@ -2074,7 +2290,7 @@ df = pd.DataFrame(
).set_index("timestamp")
# Run the deriver locally
-result_df = nortech.derivers.run_deriver_locally(df, deriver, batch_size=5000)
+result_df = nortech.derivers.run_locally_with_source_data(MyDeriver, time_window=TimeWindow(start=datetime.now(timezone.utc), end=datetime.now(timezone.utc)))
print(result_df)
# output_signal
@@ -2497,228 +2713,3 @@ Detailed output model for a single signal.
- id (int): Id of the Device.
- name (str): Name of the Device.
-
-
-## derivers.values.schema
-
-### DataTypeEnum
-
-Enumeration of supported data types.
-
-**Attributes**:
-
-- `float` - Floating point number type
-- `boolean` - Boolean type
-- `string` - String type
-- `json` - JSON type
-
-### DeriverSchemaConfiguration
-
-Pydantic model for deriver schema configuration data.
-
-**Attributes**:
-
-- `name` _str_ - The name of the configuration parameter.
-- `description` _str_ - A description of the configuration parameter.
-- `data_type` _DataTypeEnum_ - The data type of the configuration parameter.
-
-### DeriverSchemaOutput
-
-Pydantic model for deriver schema output data.
-
-**Attributes**:
-
-- `name` _str_ - The name of the output.
-- `description` _str_ - A description of the output.
-- `data_type` _DataTypeEnum_ - The data type of the output.
-- `physical_quantity` _PhysicalQuantity | None_ - The physical quantity of the output, if applicable.
-
-### SuggestedInput
-
-Pydantic model for suggested input data.
-
-**Attributes**:
-
-- `name` _str_ - The name of the suggested input.
-- `description` _str_ - A description of the suggested input.
-- `data_type` _DataTypeEnum_ - The data type of the suggested input.
-- `physical_quantity` _PhysicalQuantity | None_ - The physical quantity of the suggested input, if applicable.
-- `create_deriver_schema` _Callable[[], DeriverSchema]_ - Function that creates the deriver schema for this input.
-
-#### InputField
-
-```python
-def InputField(description: str,
- physical_quantity: PhysicalQuantity | None,
- suggested_inputs: list[Any] | None = None)
-```
-
-Create an input field with metadata.
-
-**Arguments**:
-
-- `description` _str_ - Description of the input field.
-- `physical_quantity` _PhysicalQuantity | None_ - Physical quantity of the input field.
-- `suggested_inputs` _list[Any] | None, optional_ - List of suggested inputs. Defaults to None.
-
-
-**Returns**:
-
-- `Field` - A pydantic Field with the specified metadata.
-
-### DeriverInputSchema
-
-Pydantic model for deriver schema input data.
-
-**Attributes**:
-
-- `timestamp` _datetime_ - The timestamp for the input.
-
-### DeriverOutputSchema
-
-Pydantic model for deriver schema output data.
-
-**Attributes**:
-
-- `timestamp` _datetime_ - The timestamp for the output.
-
-### DeriverSchema
-
-Pydantic model for a deriver schema.
-
-**Attributes**:
-
-- `name` _str_ - The name of the deriver.
-- `description` _str_ - A description of the deriver.
-- `inputs` _Type[InputType]_ - The input schema type.
-- `outputs` _Type[OutputType]_ - The output schema type.
-- `configurations` _Type[ConfigurationType]_ - The configuration schema type.
-- `transform_stream` _Callable_ - Function that transforms input stream to output stream given a configuration.
-
-#### OutputField
-
-```python
-def OutputField(description: str, physical_quantity: PhysicalQuantity | None,
- create_deriver_schema: Callable[[], DeriverSchema])
-```
-
-Create an output field with metadata.
-
-**Arguments**:
-
-- `description` _str_ - Description of the output field.
-- `physical_quantity` _PhysicalQuantity | None_ - Physical quantity of the output field.
-- `create_deriver_schema` _Callable[[], DeriverSchema]_ - Function that creates the deriver schema.
-
-
-**Returns**:
-
-- `Field` - A pydantic Field with the specified metadata.
-
-### DeriverSchemaOutputWithDAG
-
-Pydantic model for deriver schema output with DAG information.
-
-**Attributes**:
-
-- `name` _str_ - The name of the output.
-- `description` _str_ - A description of the output.
-- `data_type` _DataTypeEnum_ - The data type of the output.
-- `physical_quantity` _PhysicalQuantity | None_ - The physical quantity of the output, if applicable.
-- `deriver_schema_dag` _DeriverSchemaDAG_ - The DAG associated with this output.
-
-### DeriverSchemaInput
-
-Pydantic model for deriver schema input with suggested inputs.
-
-**Attributes**:
-
-- `name` _str_ - The name of the input.
-- `description` _str_ - A description of the input.
-- `data_type` _DataTypeEnum_ - The data type of the input.
-- `physical_quantity` _PhysicalQuantity | None_ - The physical quantity of the input.
-- `suggested_inputs_from_other_derivers` _list[DeriverSchemaOutputWithDAG]_ - List of suggested inputs.
-
-### DeriverSchemaDAG
-
-Pydantic model for a deriver schema DAG.
-
-**Attributes**:
-
-- `name` _str_ - The name of the deriver schema.
-- `description` _str_ - A description of the deriver schema.
-- `inputs` _list[DeriverSchemaInput]_ - List of inputs in the deriver schema.
-- `outputs` _list[DeriverSchemaOutput]_ - List of outputs in the deriver schema.
-- `configurations` _list[DeriverSchemaConfiguration]_ - List of configurations in the deriver schema.
-- `script` _str_ - The script associated with this deriver schema.
-
-
-
-## derivers.values.instance
-
-### DeriverInput
-
-Pydantic model for deriver input data.
-
-**Attributes**:
-
-- `workspace` _str_ - The name of the Workspace.
-- `asset` _str_ - The name of the Asset.
-- `division` _str_ - The name of the Division.
-- `unit` _str_ - The name of the Unit.
-- `signal` _str_ - The name of the Signal.
-- `physical_unit` _PhysicalUnit_ - The physical unit of the input signal.
-
-### DeriverOutput
-
-Pydantic model for deriver output data.
-
-**Attributes**:
-
-- `workspace` _str_ - The name of the Workspace.
-- `asset` _str_ - The name of the Asset.
-- `division` _str_ - The name of the Division.
-- `unit` _str_ - The name of the Unit.
-- `signal` _str_ - The name of the Signal.
-- `physical_unit` _PhysicalUnit_ - The physical unit of the output signal.
-
-### Deriver
-
-Pydantic model for a deriver.
-
-**Attributes**:
-
-- `name` _str_ - The name of the deriver.
-- `description` _str_ - A description of the deriver.
-- `inputs` _dict[Any, DeriverInputType]_ - Dictionary mapping deriver schema inputs to their input signals.
-- `outputs` _dict[Any, DeriverOutputType]_ - Dictionary mapping deriver schema outputs to their output signals.
-- `configurations` _ConfigurationType_ - Configuration parameters for the deriver.
-- `start_at` _datetime_ - Start time for the deriver.
-- `create_deriver_schema` _Callable[[], DeriverSchema[InputType, OutputType, ConfigurationType]]_ - Function that creates the deriver schema.
-
-
-
-## derivers.values.physical\_units\_schema
-
-### PhysicalQuantity
-
-Pydantic model for physical quantity data.
-
-**Attributes**:
-
-- `name` _str_ - The name of the physical quantity.
-- `description` _str_ - A description of the physical quantity.
-- `si_unit` _str_ - The SI unit for this physical quantity.
-- `si_unit_symbol` _str_ - The symbol for the SI unit.
-
-### PhysicalUnit
-
-Pydantic model for physical unit data.
-
-**Attributes**:
-
-- `name` _str_ - The name of the physical unit.
-- `description` _str_ - A description of the physical unit.
-- `symbol` _str_ - The symbol for this physical unit.
-- `physical_quantity` _PhysicalQuantity_ - The physical quantity this unit measures.
-
diff --git a/nortech/__init__.py b/nortech/__init__.py
index cd096e2..c7ce80d 100644
--- a/nortech/__init__.py
+++ b/nortech/__init__.py
@@ -1,7 +1,10 @@
from __future__ import annotations
+from typing import Any
+
from urllib3 import Retry, Timeout
+from nortech.__version__ import __version__
from nortech.datatools import Datatools
from nortech.derivers import Derivers
from nortech.gateways.nortech_api import NortechAPI, NortechAPISettings
@@ -9,7 +12,8 @@
class Nortech:
- """Main class for interacting with the Nortech SDK.
+ """
+ Main class for interacting with the Nortech SDK.
Attributes:
metadata (Metadata): Client for interacting with the Nortech Metadata API.
@@ -28,7 +32,8 @@ def __init__(
timeout: float | Timeout | None = None,
retry: int | Retry | None = None,
):
- """Initialize the Nortech class.
+ """
+ Initialize the Nortech class.
Args:
url (str): The URL of the Nortech API. Defaults to "https://api.apps.nor.tech".
@@ -68,7 +73,7 @@ def __init__(
```
"""
- api_settings = {}
+ api_settings: dict[str, Any] = {}
if api_key is not None:
api_settings["KEY"] = api_key
if ignore_pagination is not None:
@@ -89,3 +94,6 @@ def __init__(
self.metadata = Metadata(self.api)
self.datatools = Datatools(self.api)
self.derivers = Derivers(self.api)
+
+
+__all__ = ["__version__", "Nortech"]
diff --git a/nortech/__version__.py b/nortech/__version__.py
new file mode 100644
index 0000000..08fbf16
--- /dev/null
+++ b/nortech/__version__.py
@@ -0,0 +1,6 @@
+try:
+ from importlib.metadata import version
+
+ __version__ = version("nortech")
+except Exception:
+ __version__ = "unknown"
diff --git a/nortech/datatools/__init__.py b/nortech/datatools/__init__.py
index dbe3515..a864a01 100644
--- a/nortech/datatools/__init__.py
+++ b/nortech/datatools/__init__.py
@@ -38,7 +38,8 @@ def download_data(
output_path: str,
file_format: Format,
):
- """Download data for the specified signals within the given time window. If experimental features are enabled, live data will also be downloaded.
+ """
+ Download data for the specified signals within the given time window. If experimental features are enabled, live data will also be downloaded.
Args:
signals (Sequence[int | SignalInput | SignalInputDict | SignalOutput | SignalListOutput]): A list of signals to download, which can be of the following types:
@@ -110,7 +111,8 @@ def get_df(
signals: Sequence[int | SignalInput | SignalInputDict | SignalOutput | SignalListOutput],
time_window: TimeWindow,
) -> DataFrame:
- """Retrieve a pandas DataFrame for the specified signals within the given time window. If experimental features are enabled, live data will also be retrieved.
+ """
+ Retrieve a pandas DataFrame for the specified signals within the given time window. If experimental features are enabled, live data will also be retrieved.
Args:
signals (Sequence[int | SignalInput | SignalInputDict | SignalOutput | SignalListOutput]): A list of signals to download, which can be of the following types:
@@ -188,7 +190,8 @@ def get_lazy_df(
signals: Sequence[int | SignalInput | SignalInputDict | SignalOutput | SignalListOutput],
time_window: TimeWindow,
) -> LazyFrame:
- """Retrieve a polars LazyFrame for the specified signals within the given time window. If experimental features are enabled, live data will also be retrieved.
+ """
+ Retrieve a polars LazyFrame for the specified signals within the given time window. If experimental features are enabled, live data will also be retrieved.
Args:
signals (Sequence[int | SignalInput | SignalInputDict | SignalOutput | SignalListOutput]): A list of signals to download, which can be of the following types:
@@ -261,7 +264,8 @@ def get_df(
signals: Sequence[int | SignalInput | SignalInputDict | SignalOutput | SignalListOutput],
time_window: TimeWindow,
) -> PolarsDataFrame:
- """Retrieve a polars DataFrame for the specified signals within the given time window. If experimental features are enabled, live data will also be retrieved.
+ """
+ Retrieve a polars DataFrame for the specified signals within the given time window. If experimental features are enabled, live data will also be retrieved.
Args:
signals (Sequence[int | SignalInput | SignalInputDict | SignalOutput | SignalListOutput]): A list of signals to download, which can be of the following types:
diff --git a/nortech/datatools/handlers/download.py b/nortech/datatools/handlers/download.py
index 936ff4d..355c556 100644
--- a/nortech/datatools/handlers/download.py
+++ b/nortech/datatools/handlers/download.py
@@ -9,11 +9,16 @@
)
from nortech.datatools.services.storage import get_hot_and_cold_time_windows
from nortech.datatools.values.windowing import ColdWindow, HotWindow, TimeWindow
-from nortech.metadata.services.logger import logger
+from nortech.logger import logger
from nortech.metadata.services.signal import (
parse_signal_input_or_output_or_id_union_to_signal_input,
)
-from nortech.metadata.values.signal import SignalInput, SignalInputDict, SignalListOutput, SignalOutput
+from nortech.metadata.values.signal import (
+ SignalInput,
+ SignalInputDict,
+ SignalListOutput,
+ SignalOutput,
+)
def download_data(
diff --git a/nortech/datatools/handlers/pandas.py b/nortech/datatools/handlers/pandas.py
index c3a7d1d..f3dd997 100644
--- a/nortech/datatools/handlers/pandas.py
+++ b/nortech/datatools/handlers/pandas.py
@@ -7,7 +7,12 @@
from nortech.datatools.handlers.polars import get_polars_df
from nortech.datatools.values.windowing import TimeWindow
from nortech.gateways.nortech_api import NortechAPI
-from nortech.metadata.values.signal import SignalInput, SignalInputDict, SignalListOutput, SignalOutput
+from nortech.metadata.values.signal import (
+ SignalInput,
+ SignalInputDict,
+ SignalListOutput,
+ SignalOutput,
+)
def get_df(
diff --git a/nortech/datatools/handlers/polars.py b/nortech/datatools/handlers/polars.py
index f00f398..13e9461 100644
--- a/nortech/datatools/handlers/polars.py
+++ b/nortech/datatools/handlers/polars.py
@@ -13,13 +13,16 @@
get_hot_and_cold_time_windows,
)
from nortech.datatools.values.windowing import ColdWindow, HotWindow, TimeWindow
-from nortech.gateways.nortech_api import (
- NortechAPI,
-)
+from nortech.gateways.nortech_api import NortechAPI
from nortech.metadata.services.signal import (
parse_signal_input_or_output_or_id_union_to_signal_input,
)
-from nortech.metadata.values.signal import SignalInput, SignalInputDict, SignalListOutput, SignalOutput
+from nortech.metadata.values.signal import (
+ SignalInput,
+ SignalInputDict,
+ SignalListOutput,
+ SignalOutput,
+)
def get_lazy_polars_df(
diff --git a/nortech/datatools/services/nortech_api.py b/nortech/datatools/services/nortech_api.py
index 576e1ca..2d7a6f5 100644
--- a/nortech/datatools/services/nortech_api.py
+++ b/nortech/datatools/services/nortech_api.py
@@ -39,7 +39,11 @@ def get_lazy_polars_df_from_hot_storage(
},
)
- validate_response(response, valid_status_codes=[200, 404], error_message="Failed to get hot storage data.")
+ validate_response(
+ response,
+ valid_status_codes=[200, 404],
+ error_message="Failed to get hot storage data.",
+ )
if response.status_code == 404:
df = DataFrame({"timestamp": [], **{signal.path: [] for signal in signals}}).astype(
@@ -88,7 +92,11 @@ def get_lazy_polars_df_from_cold_storage(
json=request_json,
)
- validate_response(response, valid_status_codes=[200, 404], error_message="Failed to get cold storage data.")
+ validate_response(
+ response,
+ valid_status_codes=[200, 404],
+ error_message="Failed to get cold storage data.",
+ )
if response.status_code == 404:
df = DataFrame({"timestamp": [], **{signal.path: [] for signal in signals}}).astype(
diff --git a/nortech/datatools/services/storage.py b/nortech/datatools/services/storage.py
index 525d794..463378c 100644
--- a/nortech/datatools/services/storage.py
+++ b/nortech/datatools/services/storage.py
@@ -4,7 +4,12 @@
from polars import LazyFrame, col
-from nortech.datatools.values.windowing import ColdWindow, HotColdWindow, HotWindow, TimeWindow
+from nortech.datatools.values.windowing import (
+ ColdWindow,
+ HotColdWindow,
+ HotWindow,
+ TimeWindow,
+)
def get_hot_and_cold_time_windows(
diff --git a/nortech/derivers/__init__.py b/nortech/derivers/__init__.py
index e4a4c8f..d062e5d 100644
--- a/nortech/derivers/__init__.py
+++ b/nortech/derivers/__init__.py
@@ -1,290 +1,494 @@
from __future__ import annotations
-from typing import Callable
+from datetime import datetime
+from typing import Literal
from pandas import DataFrame
+from nortech.datatools.values.windowing import TimeWindow
from nortech.derivers.handlers.deriver import (
- deploy_deriver,
- run_deriver_locally,
- visualize_deriver,
- visualize_deriver_schema,
+ create_deriver,
+ get_deriver,
+ list_derivers,
+ run_deriver_locally_with_df,
+ run_deriver_locally_with_source_data,
+ update_deriver,
)
from nortech.derivers.services import operators as operators
-from nortech.derivers.services.nortech_api import DeriverDiffs
-from nortech.derivers.services.physical_units import get_physical_quantity
-from nortech.derivers.values import physical_units
-from nortech.derivers.values.instance import (
+from nortech.derivers.values.deriver import (
Deriver,
DeriverInput,
- DeriverInputType,
+ DeriverInputs,
DeriverOutput,
- DeriverOutputType,
-)
-from nortech.derivers.values.schema import (
- ConfigurationType,
- DeriverInputSchema,
- DeriverOutputSchema,
- DeriverSchema,
- InputField,
- InputType,
- OutputField,
- OutputType,
+ DeriverOutputs,
+ validate_deriver,
)
from nortech.gateways.nortech_api import NortechAPI
+from nortech.metadata.values.pagination import PaginationOptions
class Derivers:
- """Client for interacting with the Nortech Derivers API.
+ """
+ Client for interacting with the Nortech Derivers API.
Attributes:
nortech_api (NortechAPI): The Nortech API client.
+ Example:
+ To define a deriver, you need to create a class that inherits from the Deriver class.
+ The class must have two inner classes: Inputs and Outputs.
+ The Inputs class must inherit from DeriverInputs and the Outputs class must inherit from DeriverOutputs.
+ The Inputs class must define the inputs of the deriver.
+ The Outputs class must define the outputs of the deriver.
+ The run method must be defined and return a bytewax stream.
+
+ ```python
+ import bytewax.operators as op
+
+ from nortech.derivers import Deriver, DeriverInput, DeriverInputs, DeriverOutput, DeriverOutputs
+
+
+ class MyDeriver(Deriver):
+ class Inputs(DeriverInputs):
+ input_1: float | None = DeriverInput(
+ workspace="workspace1", asset="asset1", division="division1", unit="unit1", signal="signal1"
+ )
+ input_2: float | None = DeriverInput(
+ workspace="workspace2", asset="asset2", division="division2", unit="unit2", signal="signal2"
+ )
+
+ class Outputs(DeriverOutputs):
+ output_1: float = DeriverOutput(
+ workspace="workspace1",
+ asset="asset1",
+ division="division1",
+ unit="unit1",
+ signal="new_signal1",
+ description="output_1",
+ long_description="output_1_long_description",
+ physical_unit="m/s",
+ )
+ output_2: str = DeriverOutput(
+ workspace="workspace2",
+ asset="asset2",
+ division="division2",
+ unit="unit2",
+ signal="new_signal2",
+ description="output_2",
+ long_description="output_2_long_description",
+ physical_unit="m/s",
+ )
+
+ def run(self, inputs: op.Stream[Inputs]) -> op.Stream[Outputs]:
+ return op.map(
+ "",
+ inputs,
+ lambda _input: self.Outputs(
+ timestamp=_input.timestamp,
+ output_1=_input.input_1 or 0,
+ output_2=str(_input.input_2),
+ ),
+ )
+ ```
+
"""
def __init__(self, nortech_api: NortechAPI):
self.nortech_api = nortech_api
- def deploy_deriver(self, deriver: Deriver, workspace: str | None = None, dry_run: bool = True) -> DeriverDiffs:
- """Deploy a deriver to a workspace.
+ def list(
+ self,
+ pagination_options: PaginationOptions[Literal["id", "name", "description"]] | None = None,
+ ):
+ """
+ List derivers.
Args:
- deriver (Deriver): The deriver to deploy.
- workspace (str, optional): The workspace to deploy to. Defaults to None.
- dry_run (bool, optional): Whether to perform a dry run. Defaults to True.
+ pagination_options (PaginationOptions, optional): The pagination options. Defaults to None.
Returns:
- DeriverDiffs: The deriver diffs.
+ PaginatedResponse[DeployedDeriver]: Paginated response of derivers.
Example:
```python
- from datetime import datetime
+ # Define Deriver
+ class MyDeriver(Deriver):
+ ...
- from pydantic import Field
- from nortech import Nortech
- from nortech.derivers import (
- Deriver,
- DeriverInput,
- DeriverOutput,
- physical_units,
- )
+ nortech = Nortech()
+ derivers = nortech.derivers.list()
+ print(derivers)
+ # PaginatedResponse(
+ # size=1,
+ # next=None,
+ # data=[
+ # DeployedDeriverList(
+ # deriver=MyDeriver,
+ # description="my-description",
+ # start_at=None,
+ # )
+ # ],
+ # )
+ ```
+ """
+ return list_derivers(self.nortech_api, pagination_options)
- def create_test_schema():
- import bytewax.operators as op
- from bytewax.dataflow import Stream
- from pydantic import BaseModel
+ def get(
+ self,
+ deriver: str | type[Deriver],
+ ):
+ """
+ Get a deriver.
- from nortech.derivers import (
- DeriverInputSchema,
- DeriverOutputSchema,
- DeriverSchema,
- InputField,
- OutputField,
- physical_units,
- )
+ Args:
+ deriver (type[Deriver]): Deriver class to fetch or deriver class name.
- class Input(DeriverInputSchema):
- input_signal: float | None = InputField(
- description="Input signal description",
- physical_quantity=physical_units.temperature,
- )
-
- class Output(DeriverOutputSchema):
- output_signal: float | None = OutputField(
- description="Output signal description",
- physical_quantity=physical_units.temperature,
- create_deriver_schema=create_test_schema,
- )
-
- class Configurations(BaseModel):
- configuration_value: float = Field(
- description="Configuration value description",
- )
-
- def transform_stream(
- stream: Stream[Input],
- config: Configurations,
- ) -> Stream[Output]:
- output_stream = op.map(
- step_id="map_output",
- up=stream,
- mapper=lambda input_message: Output(
- timestamp=input_message.timestamp,
- output_signal=input_message.input_signal * config.configuration_value
- if input_message.input_signal is not None
- else None,
- ),
- )
-
- return output_stream
-
- return DeriverSchema(
- name="Test Schema",
- description="Test Schema description",
- inputs=Input,
- outputs=Output,
- configurations=Configurations,
- transform_stream=transform_stream,
- )
+ Returns:
+ DeployedDeriver: Deployed deriver.
+ Example:
+ ```python
+ # Define Deriver
+ class MyDeriver(Deriver):
+ ...
- deriver_schema = create_test_schema()
+ nortech = Nortech()
+ derivers = nortech.derivers.get(MyDeriver)
+ print(derivers)
+ # DeployedDeriver(
+ # deriver=MyDeriver,
+ # description="my-description",
+ # start_at="2025-01-01T12:00:00Z",
+ # inputs=[
+ # SignalOutputNoDevice(
+ # id=1,
+ # name="input_1",
+ # description="input_1",
+ # long_description="input_1_long_description",
+ # data_type="float",
+ # physical_unit="m/s",
+ # created_at="2025-01-01T12:00:00Z",
+ # updated_at="2025-01-01T12:00:00Z",
+ # workspace=MetadataOutput(
+ # id=1,
+ # name="workspace1",
+ # ),
+ # asset=MetadataOutput(
+ # id=1,
+ # name="asset1",
+ # ),
+ # division=MetadataOutput(
+ # id=1,
+ # name="division1",
+ # ),
+ # unit=MetadataOutput(
+ # id=1,
+ # name="unit1",
+ # ),
+ # ),
+ # ],
+ # outputs=[
+ # SignalOutputNoDevice(
+ # id=2,
+ # name="output_1",
+ # description="output_1",
+ # long_description="output_1_long_description",
+ # data_type="float",
+ # physical_unit="m/s",
+ # created_at="2025-01-01T12:00:00Z",
+ # updated_at="2025-01-01T12:00:00Z",
+ # workspace=MetadataOutput(
+ # id=1,
+ # name="workspace1",
+ # ),
+ # asset=MetadataOutput(
+ # id=1,
+ # name="asset1",
+ # ),
+ # division=MetadataOutput(
+ # id=1,
+ # name="division1",
+ # ),
+ # unit=MetadataOutput(
+ # id=1,
+ # name="unit1",
+ # ),
+ # ),
+ # ]
+ # )
+ ```
- inputs = {
- deriver_schema.inputs.input_signal: DeriverInput(
- workspace="Workspace",
- asset="Asset",
- division="Division",
- unit="Unit",
- signal="Signal",
- physicalUnit=physical_units.celsius,
- )
- }
-
- outputs = {
- deriver_schema.outputs.output_signal: DeriverOutput(
- workspace="Workspace",
- asset="Asset",
- division="Division",
- unit="Unit",
- signal="Signal",
- physicalUnit=physical_units.celsius,
- )
- }
+ """
+ return get_deriver(self.nortech_api, deriver)
- configurations = deriver_schema.configurations(
- configuration_value=2.0,
- )
+ def create(
+ self,
+ deriver: type[Deriver],
+ start_at: datetime | None = None,
+ description: str | None = None,
+ create_parents: bool = False,
+ ):
+ """
+ Create a deriver.
- deriver = Deriver(
- name="Test Deriver",
- description="Test Deriver description",
- inputs=inputs,
- outputs=outputs,
- configurations=configurations,
- start_at=datetime(2022, 1, 1, 0, 0, 0),
- create_deriver_schema=create_test_schema,
- )
+ Args:
+ deriver (type[Deriver]): Deriver class to create.
+ start_at (datetime | None, optional): The start time for the deriver. Defaults to current time.
+ description (str | None, optional): The description for the deriver. Defaults to None.
+ create_parents (bool, optional): Whether to create parent entities. Defaults to False.
- nortech = Nortech()
+ Returns:
+ DeployedDeriver: Deployed deriver.
- diffs = nortech.derivers.deploy_deriver(deriver)
+ Example:
+ ```python
+ # Define Deriver
+ class MyDeriver(Deriver):
+ ...
- print(diffs)
- # DeriverDiffs(
- # deriver_schemas={
- # "Test Schema": SchemaDiff(
- # old=Schema(
+ nortech = Nortech()
+ derivers = nortech.derivers.create(MyDeriver, start_at=datetime.now(timezone.utc), description="my-description")
+ print(derivers)
+ # DeployedDeriver(
+ # deriver=MyDeriver,
+ # description="my-description",
+ # start_at=None,
+ # inputs=[
+ # SignalOutputNoDevice(
+ # id=1,
+ # name="input_1",
+ # description="input_1",
+ # long_description="input_1_long_description",
+ # data_type="float",
+ # physical_unit="m/s",
+ # created_at="2025-01-01T12:00:00Z",
+ # updated_at="2025-01-01T12:00:00Z",
+ # workspace=MetadataOutput(
# id=1,
- # hash="hash",
- # history_id=1,
- # created_at=datetime(2022, 1, 1, 0, 0, 0),
- # updated_at=datetime(2022, 1, 1, 0, 0, 0),
+ # name="workspace1",
# ),
- # new=Schema(
+ # asset=MetadataOutput(
# id=1,
- # hash="hash",
- # history_id=1,
- # created_at=datetime(2022, 1, 1, 0, 0, 0),
- # updated_at=datetime(2022, 1, 1, 0, 0, 0),
+ # name="asset1",
# ),
- # )
- # },
- # derivers={
- # "Test Deriver": SchemaDiff(
- # old=Schema(
+ # division=MetadataOutput(
# id=1,
- # hash="hash",
- # history_id=1,
- # created_at=datetime(2022, 1, 1, 0, 0, 0),
- # updated_at=datetime(2022, 1, 1, 0, 0, 0),
+ # name="division1",
# ),
- # new=Schema(
+ # unit=MetadataOutput(
# id=1,
- # hash="hash",
- # history_id=1,
- # created_at=datetime(2022, 1, 1, 0, 0, 0),
- # updated_at=datetime(2022, 1, 1, 0, 0, 0),
+ # name="unit1",
# ),
- # )
- # },
+ # ),
+ # ],
+ # outputs=[
+ # SignalOutputNoDevice(
+ # id=2,
+ # name="output_1",
+ # description="output_1",
+ # long_description="output_1_long_description",
+ # data_type="float",
+ # physical_unit="m/s",
+ # created_at="2025-01-01T12:00:00Z",
+ # updated_at="2025-01-01T12:00:00Z",
+ # workspace=MetadataOutput(
+ # id=1,
+ # name="workspace1",
+ # ),
+ # asset=MetadataOutput(
+ # id=1,
+ # name="asset1",
+ # ),
+ # division=MetadataOutput(
+ # id=1,
+ # name="division1",
+ # ),
+ # unit=MetadataOutput(
+ # id=1,
+ # name="unit1",
+ # ),
+ # ),
+ # ]
# )
```
"""
- return deploy_deriver(self.nortech_api, deriver, workspace, dry_run)
+ return create_deriver(self.nortech_api, deriver, start_at, description, create_parents)
- def visualize_deriver_schema(self, create_deriver_schema: Callable[[], DeriverSchema]) -> None:
- """Visualize a deriver schema as a mermaid diagram rendered as markdown in all frontends.
-
- By default all representations will be computed and sent to the frontends.
- Frontends can decide which representation is used and how.
-
- In terminal IPython this will be similar to using :func:`print`, for use in richer
- frontends see Jupyter notebook examples with rich display logic.
+ def update(
+ self,
+ deriver: type[Deriver],
+ start_at: datetime | None = None,
+ description: str | None = None,
+ create_parents: bool = False,
+ keep_data: bool = False,
+ ):
+ """
+ Update a deriver.
Args:
- create_deriver_schema (Callable[[], DeriverSchema]): A function that creates a deriver schema.
+ deriver (type[Deriver]): Deriver class to update.
+ start_at (datetime | None, optional): The start time for the deriver. Defaults to current time.
+ description (str | None, optional): The description for the deriver. Defaults to None.
+ create_parents (bool, optional): Whether to create parent workspaces. Defaults to False.
+ keep_data (bool, optional): Whether to keep the data. Defaults to False.
+
+ Returns:
+ DeployedDeriver: Deployed deriver.
Example:
```python
- from nortech import Nortech
-
- nortech = Nortech()
-
- # Define a function that creates a Deriver Schema
- def create_test_schema():
+ # Define Deriver
+ class MyDeriver(Deriver):
...
- return DeriverSchema(...)
- # Visualize the schema
- nortech.derivers.visualize_deriver_schema(create_test_schema)
+ nortech = Nortech()
+ derivers = nortech.derivers.update(MyDeriver, start_at=datetime.now(timezone.utc), description="my-description")
+ print(derivers)
+ # DeployedDeriver(
+ # deriver=MyDeriver,
+ # description="my-description",
+ # start_at=None,
+ # inputs=[
+ # SignalOutputNoDevice(
+ # id=1,
+ # name="input_1",
+ # description="input_1",
+ # long_description="input_1_long_description",
+ # data_type="float",
+ # physical_unit="m/s",
+ # created_at="2025-01-01T12:00:00Z",
+ # updated_at="2025-01-01T12:00:00Z",
+ # workspace=MetadataOutput(
+ # id=1,
+ # name="workspace1",
+ # ),
+ # asset=MetadataOutput(
+ # id=1,
+ # name="asset1",
+ # ),
+ # division=MetadataOutput(
+ # id=1,
+ # name="division1",
+ # ),
+ # unit=MetadataOutput(
+ # id=1,
+ # name="unit1",
+ # ),
+ # ),
+ # ],
+ # outputs=[
+ # SignalOutputNoDevice(
+ # id=2,
+ # name="output_1",
+ # description="output_1",
+ # long_description="output_1_long_description",
+ # data_type="float",
+ # physical_unit="m/s",
+ # created_at="2025-01-01T12:00:00Z",
+ # updated_at="2025-01-01T12:00:00Z",
+ # workspace=MetadataOutput(
+ # id=1,
+ # name="workspace1",
+ # ),
+ # asset=MetadataOutput(
+ # id=1,
+ # name="asset1",
+ # ),
+ # division=MetadataOutput(
+ # id=1,
+ # name="division1",
+ # ),
+ # unit=MetadataOutput(
+ # id=1,
+ # name="unit1",
+ # ),
+ # ),
+ # ]
+ # )
```
"""
- return visualize_deriver_schema(create_deriver_schema)
-
- def visualize_deriver(self, deriver: Deriver) -> None:
- """Visualize a deriver as a mermaid diagram rendered as markdown in all frontends.
+ return update_deriver(self.nortech_api, deriver, start_at, description, create_parents, keep_data=keep_data)
- By default all representations will be computed and sent to the frontends.
- Frontends can decide which representation is used and how.
-
- In terminal IPython this will be similar to using :func:`print`, for use in richer
- frontends see Jupyter notebook examples with rich display logic.
+ def run_locally_with_df(
+ self,
+ deriver: type[Deriver],
+ df: DataFrame,
+ batch_size: int = 10000,
+ ) -> DataFrame:
+ """
+ Run a deriver locally on a DataFrame. The dataframe must have a timestamp index and columns equal to the input names in the deriver definition.
Args:
- deriver (Deriver): The deriver to visualize.
+ deriver (Deriver): The deriver to run.
+ batch_size (int, optional): The batch size for processing. Defaults to 10000.
+ df (DataFrame): The input DataFrame.
+
+ Returns:
+ DataFrame: The processed DataFrame with derived signals.
Example:
```python
+ from datetime import datetime, timezone
+
from nortech import Nortech
+ from nortech.derivers import Deriver, TimeWindow
+
+ class MyDeriver(Deriver):
+ ...
nortech = Nortech()
- # Create Deriver
- deriver = ...
+ # Create input DataFrame
+ df = pd.DataFrame(
+ {
+ "timestamp": pd.date_range(start="2023-01-01", periods=100, freq="s", tz=timezone.utc),
+ "input_signal": [float(i) for i in range(100)],
+ }
+ ).set_index("timestamp")
- # Visualize the deriver
- nortech.derivers.visualize_deriver(deriver)
+ # Run the deriver locally
+ result_df = nortech.derivers.run_locally_with_df(MyDeriver, df, batch_size=5000)
+
+ print(result_df)
+ # output_signal
+ # timestamp
+ # 2023-01-01 00:00:00+00:00 0.0
+ # 2023-01-01 00:00:01+00:00 2.0
+ # 2023-01-01 00:00:02+00:00 4.0
+ # 2023-01-01 00:00:03+00:00 6.0
+ # 2023-01-01 00:00:04+00:00 8.0
+ # ... ...
+ # 2023-01-01 00:01:35+00:00 190.0
+ # 2023-01-01 00:01:36+00:00 192.0
+ # 2023-01-01 00:01:37+00:00 194.0
+ # 2023-01-01 00:01:38+00:00 196.0
+ # 2023-01-01 00:01:39+00:00 198.0
```
"""
- return visualize_deriver(deriver)
+ validate_deriver(deriver)
+ return run_deriver_locally_with_df(
+ deriver=deriver,
+ batch_size=batch_size,
+ df=df,
+ )
- def run_deriver_locally(
+ def run_locally_with_source_data(
self,
- df: DataFrame,
- deriver: Deriver[InputType, OutputType, ConfigurationType, DeriverInputType, DeriverOutputType],
+ deriver: type[Deriver],
+ time_window: TimeWindow,
batch_size: int = 10000,
) -> DataFrame:
- """Run a deriver locally on a DataFrame.
+ """
+ Run a deriver locally by fetching its inputs signal data for a given time window.
Args:
- df (DataFrame): The input DataFrame.
deriver (Deriver): The deriver to run.
+ time_window (TimeWindow): The time window to process.
batch_size (int, optional): The batch size for processing. Defaults to 10000.
Returns:
@@ -292,16 +496,15 @@ def run_deriver_locally(
Example:
```python
- from datetime import timezone
-
- import pandas as pd
+ from datetime import datetime, timezone
from nortech import Nortech
+ from nortech.derivers import Deriver, TimeWindow
- nortech = Nortech()
+ class MyDeriver(Deriver):
+ ...
- # Create Deriver
- deriver = ...
+ nortech = Nortech()
# Create input DataFrame or use nortech.datatools to get data
df = pd.DataFrame(
@@ -312,7 +515,7 @@ def run_deriver_locally(
).set_index("timestamp")
# Run the deriver locally
- result_df = nortech.derivers.run_deriver_locally(df, deriver, batch_size=5000)
+ result_df = nortech.derivers.run_locally_with_source_data(MyDeriver, time_window=TimeWindow(start=datetime.now(timezone.utc), end=datetime.now(timezone.utc)))
print(result_df)
# output_signal
@@ -331,19 +534,23 @@ def run_deriver_locally(
```
"""
- return run_deriver_locally(df, deriver, batch_size)
+ validate_deriver(deriver)
+ return run_deriver_locally_with_source_data(
+ nortech_api=self.nortech_api,
+ deriver=deriver,
+ batch_size=batch_size,
+ time_window=time_window,
+ )
__all__ = [
+ "Derivers",
"Deriver",
+ "DeriverInputs",
+ "DeriverOutputs",
"DeriverInput",
"DeriverOutput",
- "physical_units",
- "DeriverInputSchema",
- "DeriverOutputSchema",
- "DeriverSchema",
- "InputField",
- "OutputField",
- "get_physical_quantity",
"operators",
+ "TimeWindow",
+ "PaginationOptions",
]
diff --git a/nortech/derivers/handlers/deriver.py b/nortech/derivers/handlers/deriver.py
index 110d658..3f6ebba 100644
--- a/nortech/derivers/handlers/deriver.py
+++ b/nortech/derivers/handlers/deriver.py
@@ -1,108 +1,90 @@
from __future__ import annotations
-from hashlib import sha256
-from typing import Callable
+from datetime import datetime
+from typing import Literal
import bytewax.operators as op
from bytewax.dataflow import Dataflow
from bytewax.testing import TestingSink, TestingSource, run_main
-from IPython.display import Markdown, display
from pandas import DataFrame, DatetimeIndex, isna
-from pint import Quantity
-
-from nortech.derivers.services.nortech_api import create_deriver
-from nortech.derivers.services.schema import (
- get_deriver_schema_dag,
-)
-from nortech.derivers.services.visualize import (
- create_deriver_schema_dag_mermaid,
- create_deriver_schema_subgraph,
-)
-from nortech.derivers.values.instance import (
- Deriver,
- DeriverInputType,
- DeriverOutputType,
-)
-from nortech.derivers.values.schema import (
- ConfigurationType,
- DeriverSchema,
- InputType,
- OutputType,
-)
+
+from nortech.datatools.handlers.pandas import get_df
+from nortech.datatools.values.windowing import TimeWindow
+from nortech.derivers.services.nortech_api import create_deriver as create_deriver_api
+from nortech.derivers.services.nortech_api import get_deriver as get_deriver_api
+from nortech.derivers.services.nortech_api import list_derivers as list_derivers_api
+from nortech.derivers.services.nortech_api import update_deriver as update_deriver_api
+from nortech.derivers.values.deriver import Deriver, validate_deriver
from nortech.gateways.nortech_api import NortechAPI
+from nortech.metadata.values.pagination import PaginationOptions
-def deploy_deriver(
+def list_derivers(
nortech_api: NortechAPI,
- deriver: Deriver,
- workspace: str | None = None,
- dry_run: bool = True,
+ pagination_options: PaginationOptions[Literal["id", "name", "description"]] | None = None,
):
- deriver_schema_dag = get_deriver_schema_dag(deriver.create_deriver_schema)
-
- deriver_diffs = create_deriver(
+ return list_derivers_api(
nortech_api=nortech_api,
- workspace=workspace,
- deriver=deriver,
- deriver_schema_dag=deriver_schema_dag,
- dry_run=dry_run,
+ pagination_options=pagination_options,
)
- return deriver_diffs
-
-
-def visualize_deriver_schema(create_deriver_schema: Callable[[], DeriverSchema]):
- deriver_schema_dag = get_deriver_schema_dag(create_deriver_schema)
-
- mermaid = """
-```mermaid
-flowchart LR
-"""
-
- mermaid = create_deriver_schema_dag_mermaid(mermaid=mermaid, deriver_schema_dag=deriver_schema_dag)
-
- mermaid += """
-```
-"""
-
- display(Markdown(mermaid))
-
-def visualize_deriver(deriver: Deriver):
- deriver_schema_dag = get_deriver_schema_dag(deriver.create_deriver_schema)
-
- mermaid = f"""
-```mermaid
-flowchart LR
- subgraph "Deriver ({deriver.name})"
-"""
+def get_deriver(
+ nortech_api: NortechAPI,
+ deriver: str | type[Deriver],
+):
+ if not isinstance(deriver, str):
+ validate_deriver(deriver)
+ deriver = deriver.__name__
- mermaid += create_deriver_schema_subgraph(deriver_schema_dag=deriver_schema_dag)
+ return get_deriver_api(
+ nortech_api=nortech_api,
+ deriver=deriver,
+ )
- for input_name, deriver_input in deriver.inputs.items():
- mermaid += f"""
- {sha256(deriver.name.encode()).hexdigest()[:8]}_{deriver_input.signal}["{deriver_input.signal}
[{deriver_input.physical_unit.symbol.replace(" ", "")}]"] --> {sha256(deriver_schema_dag.name.encode()).hexdigest()[:8]}_{input_name}
- """
- for output_name, deriver_output in deriver.outputs.items():
- mermaid += f"""
- {sha256(deriver_schema_dag.name.encode()).hexdigest()[:8]}_{output_name} --> {sha256(deriver.name.encode()).hexdigest()[:8]}_{output_name}["{output_name}
[{deriver_output.physical_unit.symbol.replace(" ", "")}]"]
- """
+def create_deriver(
+ nortech_api: NortechAPI,
+ deriver: type[Deriver],
+ start_at: datetime | None = None,
+ description: str | None = None,
+ create_parents: bool = False,
+):
+ validate_deriver(deriver)
+ return create_deriver_api(
+ nortech_api=nortech_api,
+ deriver=deriver,
+ start_at=start_at,
+ description=description,
+ create_parents=create_parents,
+ )
- mermaid += """
-end
-```
-"""
- display(Markdown(mermaid))
+def update_deriver(
+ nortech_api: NortechAPI,
+ deriver: type[Deriver],
+ start_at: datetime | None = None,
+ description: str | None = None,
+ create_parents: bool = False,
+ keep_data: bool = False,
+):
+ validate_deriver(deriver)
+ return update_deriver_api(
+ nortech_api=nortech_api,
+ deriver=deriver,
+ start_at=start_at,
+ description=description,
+ create_parents=create_parents,
+ keep_data=keep_data,
+ )
-def run_deriver_locally(
+def run_deriver_locally_with_df(
+ deriver: type[Deriver],
df: DataFrame,
- deriver: Deriver[InputType, OutputType, ConfigurationType, DeriverInputType, DeriverOutputType],
batch_size: int = 10000,
):
- deriver_schema = deriver.create_deriver_schema()
+ validate_deriver(deriver)
if not isinstance(df.index, DatetimeIndex):
raise ValueError("df must have a datetime index")
@@ -113,74 +95,34 @@ def run_deriver_locally(
def df_to_inputs(df: DataFrame):
for deriver_input in df.reset_index().to_dict("records"):
input_with_none = {k: (None if isna(v) else v) for k, v in deriver_input.items()}
+ yield deriver.Inputs.model_validate(input_with_none)
- yield deriver_schema.inputs(**input_with_none) # type: ignore
-
- source = TestingSource(ib=df_to_inputs(df), batch_size=batch_size) # type: ignore
-
- flow = Dataflow(deriver.name)
-
+ source = TestingSource(ib=df_to_inputs(df), batch_size=batch_size)
+ flow = Dataflow(deriver.__name__)
stream = op.input("input", flow, source)
+ transformed_stream = deriver().run(stream)
- input_model_fields = dict(deriver_schema.inputs.model_fields.items())
-
- def convert_input(inp):
- for input_name, deriver_input in deriver.inputs.items():
- if (
- input_name != "timestamp"
- and input_model_fields[input_name].json_schema_extra["physical_quantity"] # type: ignore
- is not None
- ):
- si_unit: str = input_model_fields[input_name].json_schema_extra[ # type: ignore
- "physical_quantity"
- ]["si_unit_symbol"]
-
- value = inp.__getattr__(input_name)
- if value is not None:
- inp.__setattr__(
- input_name,
- Quantity(value, deriver_input.physical_unit.symbol).to(si_unit).magnitude,
- )
-
- return inp
-
- converted_input_stream = op.map("convert_input", stream, convert_input)
-
- transformed_stream = deriver_schema.transform_stream(converted_input_stream, deriver.configurations)
-
- output_model_fields = dict(deriver_schema.outputs.model_fields.items())
-
- def convert_output(out):
- for output_name, output in deriver.outputs.items():
- if (
- output_name != "timestamp"
- and output_model_fields[output_name].json_schema_extra["physical_quantity"] # type: ignore
- is not None
- ):
- si_unit: str = output_model_fields[output_name].json_schema_extra[ # type: ignore
- "physical_quantity"
- ]["si_unit_symbol"]
-
- value = out.__getattr__(output_name)
- if value is not None:
- out.__setattr__(
- output_name,
- Quantity(value, si_unit).to(output.physical_unit.symbol).magnitude,
- )
-
- return out
-
- converted_output_stream = op.map("convert_output", transformed_stream, convert_output)
-
- output_list: list[OutputType] = []
+ output_list: list[Deriver.Outputs] = []
output_sink = TestingSink(output_list)
-
- op.output("out", converted_output_stream, output_sink)
+ op.output("out", transformed_stream, output_sink)
run_main(flow)
- return (
- DataFrame([output.model_dump(by_alias=True) for output in output_list])
- .set_index("timestamp")
- .tz_convert(df_timezone)
- )
+ df_out = DataFrame([output.model_dump(by_alias=True) for output in output_list])
+ if "timestamp" in df_out.columns:
+ df_out = df_out.set_index("timestamp").tz_convert(df_timezone)
+ return df_out
+
+
+def run_deriver_locally_with_source_data(
+ nortech_api: NortechAPI,
+ deriver: type[Deriver],
+ time_window: TimeWindow,
+ batch_size: int = 10000,
+):
+ inputs = deriver.Inputs.list()
+ df = get_df(nortech_api, signals=[_input for _, _input in inputs], time_window=time_window)
+ path_to_name = {_input.path: name for name, _input in inputs}
+ df = df.rename(columns=path_to_name)
+
+ return run_deriver_locally_with_df(deriver, df, batch_size)
diff --git a/nortech/derivers/services/nortech_api.py b/nortech/derivers/services/nortech_api.py
index 031339e..0f7289f 100644
--- a/nortech/derivers/services/nortech_api.py
+++ b/nortech/derivers/services/nortech_api.py
@@ -1,44 +1,38 @@
from __future__ import annotations
-from datetime import datetime
-from typing import Generic, Literal, Mapping
+from datetime import datetime, timezone
+from inspect import getsource
+from typing import Literal
-from dateutil.parser import parse
-from pydantic import BaseModel, ConfigDict, Field
+from pydantic import BaseModel, Field, field_validator
-from nortech.derivers.values.instance import (
- Deriver,
- DeriverInputType,
- DeriverOutputType,
-)
-from nortech.derivers.values.schema import ConfigurationType, DeriverSchemaDAG
+from nortech.derivers.values.deriver import Deriver, get_deriver_from_script
from nortech.gateways.nortech_api import (
NortechAPI,
validate_response,
)
-from nortech.metadata.values.pagination import PaginatedResponse, PaginationOptions
-
-
-class CreateDeriver(BaseModel, Generic[DeriverInputType, DeriverOutputType, ConfigurationType]):
- model_config = ConfigDict(populate_by_name=True)
-
- name: str
- description: str
+from nortech.metadata.values.pagination import (
+ PaginatedResponse,
+ PaginationOptions,
+)
+from nortech.metadata.values.signal import SignalOutputNoDevice
- inputs: dict[str, DeriverInputType]
- outputs: dict[str, DeriverOutputType]
- configurations: ConfigurationType
- start_at: str = Field(alias="startAt")
+class DeployedDeriverList(BaseModel):
+ deriver: type[Deriver] = Field(alias="definition")
+ description: str | None = None
+ start_at: datetime | None = Field(alias="startAt")
+ status: Literal["STARTING", "RUNNING", "STOPPED", "ERROR"]
+ @field_validator("deriver", mode="before")
+ @classmethod
+ def convert_deriver_string(cls, v: str):
+ return get_deriver_from_script(v)
-class CreateDeriverRequest(BaseModel, Generic[DeriverInputType, DeriverOutputType, ConfigurationType]):
- model_config = ConfigDict(populate_by_name=True)
- workspace: str | None
- deriver: CreateDeriver[DeriverInputType, DeriverOutputType, ConfigurationType]
- deriver_schema_dag: DeriverSchemaDAG = Field(alias="deriverSchemaDAG")
- dry_run: bool = Field(alias="dryRun")
+class DeployedDeriver(DeployedDeriverList):
+ inputs: list[SignalOutputNoDevice]
+ outputs: list[SignalOutputNoDevice]
class Log(BaseModel):
@@ -53,57 +47,7 @@ class LogList(BaseModel):
logs: list[Log]
def __str__(self) -> str:
- str_representation = "\n".join([str(log) for log in self.logs])
- return str_representation
-
-
-class DeriverLogs(BaseModel):
- name: str
- flow: LogList
- processor: LogList
-
- def __str__(self) -> str:
- str_representation = f"Pod: {self.name}\n"
- str_representation += "\nFlow logs:\n"
- for log in self.flow.logs:
- str_representation += f"{log}\n"
-
- str_representation += "\nProcessor logs:\n"
- for log in self.processor.logs:
- str_representation += f"{log}\n"
-
- return str_representation
-
-
-class LogsPerPod(BaseModel):
- pods: list[DeriverLogs]
-
- def __str__(self) -> str:
- str_representation = "Pods:\n"
- for pod in self.pods:
- str_representation += f"{pod}\n"
-
- return str_representation
-
-
-class Schema(BaseModel):
- id: int
- hash: str
- history_id: int = Field(..., alias="historyId")
- created_at: datetime = Field(..., alias="createdAt")
- updated_at: datetime = Field(..., alias="updatedAt")
-
-
-class SchemaDiff(BaseModel):
- old: Schema | None = Field(None, alias="previousSchema")
- new: Schema = Field(..., alias="newSchema")
-
-
-class DeriverDiffs(BaseModel):
- deriver_schemas: Mapping[str, SchemaDiff] = Field(..., alias="DeriverSchemas")
- derivers: Mapping[str, SchemaDiff] = Field(..., alias="Derivers")
-
- model_config = ConfigDict(populate_by_name=True)
+ return "\n".join([str(log) for log in self.logs])
def list_derivers(
@@ -116,77 +60,67 @@ def list_derivers(
)
validate_response(response, [200], "Failed to list Derivers.")
- return PaginatedResponse[Deriver](**response.json())
+ return PaginatedResponse[DeployedDeriverList].model_validate(response.json())
-def get_deriver(nortech_api: NortechAPI, deriver_id: int):
- response = nortech_api.get(url=f"/api/v1/derivers/{deriver_id}")
+def get_deriver(nortech_api: NortechAPI, deriver: str):
+ response = nortech_api.get(url=f"/api/v1/derivers/{deriver}")
validate_response(response, [200], "Failed to get Deriver.")
- return Deriver(**response.json())
+ return DeployedDeriver.model_validate(response.json())
def create_deriver(
nortech_api: NortechAPI,
- deriver: Deriver,
- deriver_schema_dag: DeriverSchemaDAG,
- workspace: str | None = None,
- dry_run: bool = True,
+ deriver: type[Deriver],
+ start_at: datetime | None = None,
+ description: str | None = None,
+ create_parents: bool = False,
):
- create_deriver_request = CreateDeriverRequest(
- workspace=workspace,
- deriver=CreateDeriver(
- name=deriver.name,
- description=deriver.description,
- inputs=deriver.inputs,
- outputs=deriver.outputs,
- configurations=deriver.configurations,
- startAt=str(deriver.start_at),
- ),
- deriverSchemaDAG=deriver_schema_dag,
- dryRun=dry_run,
+ response = nortech_api.post(
+ url="/api/v1/derivers",
+ json={
+ "definition": getsource(deriver),
+ "startAt": start_at.astimezone(timezone.utc).isoformat().replace("+00:00", "Z") if start_at else None,
+ "description": description,
+ "createParents": create_parents,
+ },
)
+ validate_response(response, [201], "Failed to create Deriver.")
+
+ return DeployedDeriver.model_validate(response.json())
- print(create_deriver_request.model_dump_json(by_alias=True))
+def update_deriver(
+ nortech_api: NortechAPI,
+ deriver: type[Deriver],
+ start_at: datetime | None = None,
+ description: str | None = None,
+ create_parents: bool = False,
+ keep_data: bool = False,
+):
response = nortech_api.post(
url="/api/v1/derivers",
- json=create_deriver_request.model_dump(by_alias=True),
+ json={
+ "definition": getsource(deriver),
+ "startAt": start_at.astimezone(timezone.utc).isoformat().replace("+00:00", "Z") if start_at else None,
+ "description": description,
+ "createParents": create_parents,
+ "keepData": keep_data,
+ },
)
validate_response(response, [200], "Failed to create Deriver.")
- return DeriverDiffs.model_validate(response.json())
-
-
-def get_logs_from_response_logs(response_logs: str) -> LogList:
- logs = [
- Log(
- timestamp=parse(log.split(" ", 1)[0]),
- message=log.split(" ", 1)[1],
- )
- for log in response_logs.split("\n")
- if log != ""
- ]
-
- return LogList(logs=logs)
+ return DeployedDeriver.model_validate(response.json())
def get_deriver_logs(
nortech_api: NortechAPI,
- deriver_id: int,
+ deriver: type[Deriver],
):
response = nortech_api.get(
- url=f"/api/v1/derivers/{deriver_id}/logs",
+ url=f"/api/v1/derivers/{deriver.__name__}/logs",
)
validate_response(response, [200], "Failed to get Deriver logs.")
- return LogsPerPod(
- pods=[
- DeriverLogs(
- name=pod["podName"],
- flow=get_logs_from_response_logs(pod["flowLogs"]),
- processor=get_logs_from_response_logs(pod["processorLogs"]),
- )
- for pod in response.json()["logsPerPod"]
- ]
- )
+ return LogList.model_validate(response.json())
diff --git a/nortech/derivers/services/operators.py b/nortech/derivers/services/operators.py
index abf9678..8ea7b79 100644
--- a/nortech/derivers/services/operators.py
+++ b/nortech/derivers/services/operators.py
@@ -19,9 +19,9 @@
from pandas import DataFrame
from pydantic import BaseModel
-from nortech.derivers.values.schema import DeriverInputSchema, InputType
+from nortech.derivers.values.deriver import DeriverInputs, InputType
-FilteredInputType = TypeVar("FilteredInputType", bound=DeriverInputSchema)
+FilteredInputType = TypeVar("FilteredInputType", bound=DeriverInputs)
T = TypeVar("T")
@@ -167,3 +167,13 @@ def list_to_df_mapper(items: Sequence[BaseModel]) -> DataFrame:
return pd.DataFrame.from_records(item.model_dump() for item in items).set_index("timestamp")
return op.map(step_id="list_to_dataframe", up=up, mapper=list_to_df_mapper)
+
+
+__all__ = [
+ "key_all",
+ "unkey_all",
+ "filter_none",
+ "ffill",
+ "resample",
+ "list_to_dataframe",
+]
diff --git a/nortech/derivers/services/physical_units.py b/nortech/derivers/services/physical_units.py
deleted file mode 100644
index bc3f472..0000000
--- a/nortech/derivers/services/physical_units.py
+++ /dev/null
@@ -1,12 +0,0 @@
-from typing import Any
-
-from nortech.derivers.values.physical_units_schema import PhysicalQuantity
-
-
-def get_physical_quantity(deriver_io: Any) -> PhysicalQuantity:
- physical_quantity = deriver_io[1].json_schema_extra["physical_quantity"]
-
- if physical_quantity is None:
- raise ValueError(f"Physical quantity is None for ${deriver_io[0]}")
-
- return PhysicalQuantity(**physical_quantity)
diff --git a/nortech/derivers/services/schema.py b/nortech/derivers/services/schema.py
deleted file mode 100644
index 9058e8e..0000000
--- a/nortech/derivers/services/schema.py
+++ /dev/null
@@ -1,136 +0,0 @@
-from __future__ import annotations
-
-from inspect import getsource
-from re import DOTALL, sub
-from textwrap import dedent
-from typing import Any, Callable, Type
-
-from pydantic import BaseModel
-
-from nortech.derivers.values.physical_units_schema import PhysicalQuantity
-from nortech.derivers.values.schema import (
- ConfigurationType,
- DeriverSchema,
- DeriverSchemaConfiguration,
- DeriverSchemaDAG,
- DeriverSchemaInput,
- DeriverSchemaOutput,
- DeriverSchemaOutputWithDAG,
- InputType,
- OutputType,
- get_actual_type,
-)
-
-
-def input_schema_to_deriver_schema_inputs(
- input_schema: Type[BaseModel],
-) -> list[DeriverSchemaInput]:
- input_fields = (
- (field_name, field) for field_name, field in input_schema.model_fields.items() if field_name != "timestamp"
- )
-
- return [
- DeriverSchemaInput(
- name=field_name,
- description=field.description, # type: ignore
- dataType=get_actual_type(field.annotation),
- physicalQuantity=PhysicalQuantity(
- **field.json_schema_extra["physical_quantity"] # type: ignore
- )
- if field.json_schema_extra["physical_quantity"] # type: ignore
- else None,
- suggestedInputsFromOtherDerivers=[
- DeriverSchemaOutputWithDAG( # type: ignore
- **suggestedInputFromOtherDeriver,
- deriver_schema_dag=get_deriver_schema_dag(
- suggestedInputFromOtherDeriver["create_deriver_schema"] # type: ignore
- ),
- )
- for suggestedInputFromOtherDeriver in field.json_schema_extra[ # type: ignore
- "suggested_inputs_from_other_derivers"
- ]
- ],
- )
- for field_name, field in input_fields
- ]
-
-
-def output_schema_to_deriver_schema_outputs(
- output_schema: Type[BaseModel],
-) -> list[DeriverSchemaOutput]:
- output_fields = (
- (field_name, field) for field_name, field in output_schema.model_fields.items() if field_name != "timestamp"
- )
-
- return [
- DeriverSchemaOutput(
- name=field_name,
- description=field.description, # type: ignore
- dataType=get_actual_type(field.annotation),
- physicalQuantity=PhysicalQuantity(**field.json_schema_extra["physical_quantity"]) # type: ignore
- if field.json_schema_extra["physical_quantity"] # type: ignore
- else None,
- )
- for field_name, field in output_fields
- ]
-
-
-def config_schema_to_config_dict(
- config_schema: Type[BaseModel],
-) -> list[DeriverSchemaConfiguration]:
- return [
- DeriverSchemaConfiguration(
- name=field_name,
- description=field.description, # type: ignore
- dataType=get_actual_type(field.annotation),
- )
- for field_name, field in config_schema.model_fields.items()
- ]
-
-
-def get_deriver_schema_dag(
- create_deriver_schema: Callable[[], DeriverSchema],
-) -> DeriverSchemaDAG:
- script = getsource(create_deriver_schema)
-
- deriver_schema = create_deriver_schema()
- inputs = input_schema_to_deriver_schema_inputs(input_schema=deriver_schema.inputs)
- outputs = output_schema_to_deriver_schema_outputs(
- output_schema=deriver_schema.outputs,
- )
- configurations = config_schema_to_config_dict(config_schema=deriver_schema.configurations)
-
- return DeriverSchemaDAG(
- name=deriver_schema.name,
- description=deriver_schema.description,
- inputs=inputs,
- outputs=outputs,
- configurations=configurations,
- script=script,
- )
-
-
-def check_create_deriver_schema_imports(
- create_deriver_schema: Callable[[], DeriverSchema[InputType, OutputType, ConfigurationType]],
-):
- # Retrieve the source code of the function
- source_code = dedent(getsource(create_deriver_schema))
-
- pattern = r"suggested_inputs=\[.*?\],?\s*"
- source_code_without_suggested_inputs = sub(pattern, "", source_code, flags=DOTALL)
- print(source_code_without_suggested_inputs)
-
- # Define a clean global environment for execution
- clean_env: dict[str, Any] = {}
-
- # Execute the function within the clean environment
- try:
- exec(source_code_without_suggested_inputs, clean_env) # noqa: S102
- # Call the function by its name in the clean environment
- clean_env[create_deriver_schema.__name__]()
- except NameError as e:
- raise NameError(
- "Missing import inside the function. Ensure all imports are defined within the function."
- ) from e
- except Exception as e:
- raise e
diff --git a/nortech/derivers/services/visualize.py b/nortech/derivers/services/visualize.py
deleted file mode 100644
index 0dd04f8..0000000
--- a/nortech/derivers/services/visualize.py
+++ /dev/null
@@ -1,62 +0,0 @@
-from hashlib import sha256
-
-from nortech.derivers.values.schema import DeriverSchemaDAG
-
-
-def create_deriver_schema_subgraph(deriver_schema_dag: DeriverSchemaDAG):
- mermaid = f"""
- subgraph "DeriverSchema ({deriver_schema_dag.name})"
- """
-
- for deriver_input in deriver_schema_dag.inputs:
- if deriver_input.name != "timestamp":
- node_id = sha256(deriver_schema_dag.name.encode()).hexdigest()[:8]
-
- if deriver_input.physical_quantity:
- mermaid += f"""
- {node_id}_{deriver_input.name}["{deriver_input.name}
[{deriver_input.physical_quantity.si_unit_symbol.replace(" ", "")}]"] --> transform_stream_{node_id}["transform_stream"]
- """
- else:
- mermaid += f"""
- {node_id}_{deriver_input.name}["{deriver_input.name}"] --> transform_stream_{node_id}["transform_stream"]
- """
-
- for deriver_output in deriver_schema_dag.outputs:
- if deriver_output.name != "timestamp":
- node_id = sha256(deriver_schema_dag.name.encode()).hexdigest()[:8]
-
- if deriver_output.physical_quantity:
- mermaid += f"""
- transform_stream_{node_id} --> {node_id}_{deriver_output.name}["{deriver_output.name}
[{deriver_output.physical_quantity.si_unit_symbol.replace(" ", "")}]"]
- """
- else:
- mermaid += f"""
- transform_stream_{node_id} --> {node_id}_{deriver_output.name}["{deriver_output.name}"]
- """
-
- mermaid += """
- end
- """
-
- return mermaid
-
-
-def create_deriver_schema_dag_mermaid(mermaid: str, deriver_schema_dag: DeriverSchemaDAG):
- for deriver_input in deriver_schema_dag.inputs:
- if deriver_input.name != "timestamp":
- for suggested_input in deriver_input.suggested_inputs_from_other_derivers:
- mermaid = create_deriver_schema_dag_mermaid(
- mermaid=mermaid,
- deriver_schema_dag=suggested_input.deriver_schema_dag,
- )
-
- source_id = sha256(suggested_input.deriver_schema_dag.name.encode()).hexdigest()[:8]
- target_id = sha256(deriver_schema_dag.name.encode()).hexdigest()[:8]
-
- mermaid += f"""
- {source_id}_{suggested_input.name} -.->|suggestedInput| {target_id}_{deriver_input.name}
- """
-
- mermaid += create_deriver_schema_subgraph(deriver_schema_dag=deriver_schema_dag)
-
- return mermaid
diff --git a/nortech/derivers/values/deriver.py b/nortech/derivers/values/deriver.py
new file mode 100644
index 0000000..ac09125
--- /dev/null
+++ b/nortech/derivers/values/deriver.py
@@ -0,0 +1,204 @@
+from __future__ import annotations
+
+import ast
+from abc import ABC, abstractmethod
+from datetime import datetime
+from typing import Any, TypeVar
+
+import bytewax.operators as op
+from pydantic import BaseModel, ConfigDict, Field
+
+from nortech.derivers.values.errors import InvalidDeriverError
+from nortech.metadata.values.signal import CreateSignalInput, SignalInput
+
+
+def DeriverInput(workspace: str, asset: str, division: str, unit: str, signal: str): # noqa: N802
+ return Field(
+ title="DeriverInput",
+ json_schema_extra={
+ "workspace": workspace,
+ "asset": asset,
+ "division": division,
+ "unit": unit,
+ "signal": signal,
+ },
+ default=None,
+ )
+
+
+def DeriverOutput( # noqa: N802
+ workspace: str,
+ asset: str,
+ division: str,
+ unit: str,
+ signal: str,
+ physical_unit: str | None = None,
+ description: str | None = None,
+ long_description: str | None = None,
+):
+ return Field(
+ title="DeriverOutput",
+ json_schema_extra={
+ "workspace": workspace,
+ "asset": asset,
+ "division": division,
+ "unit": unit,
+ "signal": signal,
+ "physical_unit": physical_unit,
+ "description": description,
+ "long_description": long_description,
+ },
+ )
+
+
+class DeriverIO(BaseModel):
+ timestamp: datetime = Field(description="Timestamp")
+
+ model_config = ConfigDict(
+ extra="allow",
+ )
+
+
+def get_type_from_json_schema(type_str: str | list[str]) -> type:
+ type_map = {
+ "string": str,
+ "number": float,
+ "integer": int,
+ "boolean": bool,
+ "null": type(None),
+ "object": dict,
+ "array": list,
+ }
+ if isinstance(type_str, list):
+ types = [get_type_from_json_schema(item) for item in type_str]
+ if len(types) == 0 or len(types) > 2:
+ raise InvalidDeriverError(f"Unsupported type: {type_str}")
+ elif len(types) == 2:
+ if types[0] == type(None): # noqa: E721
+ return types[1]
+ else:
+ return types[0]
+ else:
+ return types[0]
+ else:
+ normalized = type_str.strip().lower()
+ if normalized not in type_map:
+ raise InvalidDeriverError(f"Unsupported JSON Schema type: {type_str}")
+ return type_map[normalized]
+
+
+class DeriverInputs(DeriverIO):
+ @classmethod
+ def list_types(cls) -> list[tuple[str, type]]:
+ return [
+ (
+ field,
+ get_type_from_json_schema(
+ value.get(
+ "type",
+ list(map(lambda x: x.get("type"), value.get("anyOf", []))),
+ )
+ ),
+ )
+ for field, value in cls.model_json_schema()["properties"].items()
+ if value.get("title") == "DeriverInput"
+ ]
+
+ @classmethod
+ def list(cls) -> list[tuple[str, SignalInput]]:
+ return [
+ (field, SignalInput.model_validate(value))
+ for field, value in cls.model_json_schema()["properties"].items()
+ if value.get("title") == "DeriverInput"
+ ]
+
+
+InputType = TypeVar("InputType", bound=DeriverInputs)
+
+
+class DeriverOutputs(DeriverIO):
+ @classmethod
+ def list_types(cls) -> list[tuple[str, type]]:
+ return [
+ (
+ field,
+ get_type_from_json_schema(
+ value.get(
+ "type",
+ list(map(lambda x: x.get("type"), value.get("anyOf", []))),
+ )
+ ),
+ )
+ for field, value in cls.model_json_schema()["properties"].items()
+ if value.get("title") == "DeriverOutput"
+ ]
+
+ @classmethod
+ def list(cls) -> list[tuple[str, CreateSignalInput]]:
+ return [
+ (field, CreateSignalInput.model_validate(value))
+ for field, value in cls.model_json_schema()["properties"].items()
+ if value.get("title") == "DeriverOutput"
+ ]
+
+
+OutputType = TypeVar("OutputType", bound=DeriverOutputs)
+
+
+class Deriver(ABC):
+ class Inputs(DeriverInputs):
+ pass
+
+ class Outputs(DeriverOutputs):
+ pass
+
+ @abstractmethod
+ def run(self, stream: op.Stream[Inputs]) -> op.Stream[Outputs]:
+ raise NotImplementedError
+
+
+def validate_deriver(deriver: type) -> type[Deriver]:
+ if not issubclass(deriver, Deriver):
+ raise InvalidDeriverError("Deriver must be a subclass of Deriver.")
+
+ deriver_inputs = deriver.Inputs.list_types()
+ if len(deriver_inputs) == 0:
+ raise InvalidDeriverError("Deriver must have at least one input.")
+
+ deriver_outputs = deriver.Outputs.list_types()
+ if len(deriver_outputs) == 0:
+ raise InvalidDeriverError("Deriver must have at least one output.")
+ for name, typ in deriver_outputs:
+ if typ not in [float, str, bool, dict, list]:
+ raise InvalidDeriverError(
+ f"Deriver output '{name}' has type '{typ.__name__}', which is not allowed. Allowed types: float, str, bool, dict, list."
+ )
+
+ try:
+ deriver().run(None) # type: ignore
+ except Exception as e:
+ if isinstance(e, NotImplementedError) or (
+ isinstance(e, TypeError)
+ and f"Can't instantiate abstract class {deriver.__name__} with abstract method run" in str(e)
+ ):
+ raise InvalidDeriverError("Deriver must implement the run method.") # noqa: B904
+ return deriver
+ return deriver
+
+
+def get_deriver_from_script(script: str) -> type[Deriver]:
+ tree = ast.parse(script)
+ if len(tree.body) != 1:
+ raise InvalidDeriverError("Script must define exactly one class.")
+
+ class_def = tree.body[0]
+ if not isinstance(class_def, ast.ClassDef):
+ raise InvalidDeriverError("Script must define a class.")
+
+ namespace: dict[str, Any] = {}
+ exec(script, globals(), namespace) # noqa: S102
+
+ cls = namespace.get(class_def.name)
+ if isinstance(cls, type):
+ return validate_deriver(cls)
+ raise InvalidDeriverError("No valid Deriver subclass found in script.")
diff --git a/nortech/derivers/values/errors.py b/nortech/derivers/values/errors.py
new file mode 100644
index 0000000..6689bee
--- /dev/null
+++ b/nortech/derivers/values/errors.py
@@ -0,0 +1,4 @@
+class InvalidDeriverError(BaseException):
+ def __init__(self, message: str):
+ self.message = message
+ super().__init__(message)
diff --git a/nortech/derivers/values/instance.py b/nortech/derivers/values/instance.py
deleted file mode 100644
index c1ccf45..0000000
--- a/nortech/derivers/values/instance.py
+++ /dev/null
@@ -1,134 +0,0 @@
-from datetime import datetime
-from typing import Any, Callable, Generic, TypeVar
-
-from pydantic import BaseModel, ConfigDict, Field, model_validator
-
-from nortech.derivers.services.physical_units import get_physical_quantity
-from nortech.derivers.services.schema import check_create_deriver_schema_imports
-from nortech.derivers.values.physical_units_schema import PhysicalUnit
-from nortech.derivers.values.schema import (
- ConfigurationType,
- DeriverSchema,
- InputType,
- OutputType,
-)
-from nortech.metadata.values.signal import SignalInput
-
-
-class DeriverInput(SignalInput):
- """Pydantic model for deriver input data.
-
- Attributes:
- workspace (str): The name of the Workspace.
- asset (str): The name of the Asset.
- division (str): The name of the Division.
- unit (str): The name of the Unit.
- signal (str): The name of the Signal.
- physical_unit (PhysicalUnit): The physical unit of the input signal.
-
- """
-
- model_config = ConfigDict(populate_by_name=True)
-
- physical_unit: PhysicalUnit = Field(alias="physicalUnit")
-
-
-class DeriverOutput(SignalInput):
- """Pydantic model for deriver output data.
-
- Attributes:
- workspace (str): The name of the Workspace.
- asset (str): The name of the Asset.
- division (str): The name of the Division.
- unit (str): The name of the Unit.
- signal (str): The name of the Signal.
- physical_unit (PhysicalUnit): The physical unit of the output signal.
-
- """
-
- model_config = ConfigDict(populate_by_name=True)
-
- physical_unit: PhysicalUnit = Field(alias="physicalUnit")
-
-
-DeriverInputType = TypeVar("DeriverInputType", bound=DeriverInput)
-DeriverOutputType = TypeVar("DeriverOutputType", bound=DeriverOutput)
-
-
-class Deriver(
- BaseModel,
- Generic[InputType, OutputType, ConfigurationType, DeriverInputType, DeriverOutputType],
-):
- """Pydantic model for a deriver.
-
- Attributes:
- name (str): The name of the deriver.
- description (str): A description of the deriver.
- inputs (dict[Any, DeriverInputType]): Dictionary mapping deriver schema inputs to their input signals.
- outputs (dict[Any, DeriverOutputType]): Dictionary mapping deriver schema outputs to their output signals.
- configurations (ConfigurationType): Configuration parameters for the deriver.
- start_at (datetime): Start time for the deriver.
- create_deriver_schema (Callable[[], DeriverSchema[InputType, OutputType, ConfigurationType]]): Function that creates the deriver schema.
-
- """
-
- name: str
- description: str
-
- inputs: dict[Any, DeriverInputType]
- outputs: dict[Any, DeriverOutputType]
- configurations: ConfigurationType
-
- start_at: datetime
-
- create_deriver_schema: Callable[[], DeriverSchema[InputType, OutputType, ConfigurationType]]
-
- @model_validator(mode="before")
- @classmethod
- def parse_inputs_outputs(cls, values):
- # Parse inputs
- inputs = values.get("inputs")
-
- for deriver_schema_input, deriver_input in inputs.items():
- try:
- deriver_schema_input_physical_quantity = get_physical_quantity(deriver_schema_input)
- except ValueError:
- continue
-
- if deriver_schema_input_physical_quantity != deriver_input.physical_unit.physical_quantity:
- raise ValueError(
- f"Physical quantity mismatch for {deriver_schema_input[0]}, "
- "physical quantity of the physical unit of the input is "
- f"{deriver_schema_input_physical_quantity.name}, but the "
- f"physical quantity of the input is {deriver_input.physical_unit.physical_quantity.name}."
- )
-
- parsed_inputs = {str(key[0]): value for key, value in inputs.items() if isinstance(key, tuple) and len(key) > 0}
- values["inputs"] = parsed_inputs
-
- # Parse outputs
- outputs = values.get("outputs")
-
- for deriver_schema_ouput, deriver_output in outputs.items():
- try:
- deriver_schema_output_physical_quantity = get_physical_quantity(deriver_schema_ouput)
- except ValueError:
- continue
-
- if deriver_schema_output_physical_quantity != deriver_output.physical_unit.physical_quantity:
- raise ValueError(
- f"Physical quantity mismatch for {deriver_schema_ouput[0]}, "
- "physical quantity of the physical unit of "
- f"the output is {deriver_schema_output_physical_quantity.name}, "
- f"but the physical quantity of the input is {deriver_output.physical_unit.physical_quantity.name}."
- )
-
- parsed_outputs = {
- str(key[0]): value for key, value in outputs.items() if isinstance(key, tuple) and len(key) > 0
- }
- values["outputs"] = parsed_outputs
-
- create_deriver_schema = values.get("create_deriver_schema")
- check_create_deriver_schema_imports(create_deriver_schema)
-
- return values
diff --git a/nortech/derivers/values/physical_units.py b/nortech/derivers/values/physical_units.py
deleted file mode 100644
index ff42899..0000000
--- a/nortech/derivers/values/physical_units.py
+++ /dev/null
@@ -1,668 +0,0 @@
-from pint import UnitRegistry
-
-from nortech.derivers.values.physical_units_schema import (
- PhysicalQuantity,
- PhysicalUnit,
-)
-
-unit_registry = UnitRegistry()
-
-# Temperature
-temperature = PhysicalQuantity(
- name="Temperature",
- description="Temperature is a physical quantity that quantitatively expresses "
- "the attribute of hotness or coldness.",
- SIUnit=str(unit_registry.kelvin),
- SIUnitSymbol=f"{unit_registry.kelvin:~}",
-)
-
-kelvin = PhysicalUnit(
- name=str(unit_registry.kelvin),
- description="The Kelvin scale is an absolute scale, which is defined such that 0 K is absolute zero.",
- symbol=f"{unit_registry.kelvin:~}",
- physicalQuantity=temperature,
-)
-
-celsius = PhysicalUnit(
- name=str(unit_registry.celsius),
- description="The Celsius scale is based on 0°C for the freezing point of water "
- "and 100°C for the boiling point of water at 1 atm pressure.",
- symbol=f"{unit_registry.celsius:~}",
- physicalQuantity=temperature,
-)
-
-fahrenheit = PhysicalUnit(
- name=str(unit_registry.fahrenheit),
- description="The Fahrenheit scale where the freezing point of water is 32°F "
- "and the boiling point is 212°F at standard atmospheric pressure.",
- symbol=f"{unit_registry.fahrenheit:~}",
- physicalQuantity=temperature,
-)
-
-# Rotational Frequency
-rotational_frequency = PhysicalQuantity(
- name="Rotational Frequency",
- description="Rotational frequency is the frequency of rotation of an object around an axis.",
- SIUnit=str(unit_registry.rps),
- SIUnitSymbol=f"{unit_registry.rps:~}",
-)
-
-rpm = PhysicalUnit(
- name=str(unit_registry.rpm),
- description="Revolutions per minute (rpm) is a unit of rotational speed or rotational frequency.",
- symbol=f"{unit_registry.rpm:~}",
- physicalQuantity=rotational_frequency,
-)
-
-rps = PhysicalUnit(
- name=str(unit_registry.rps),
- description="Revolutions per second (rps) is the SI unit of rotational frequency.",
- symbol=f"{unit_registry.rps:~}",
- physicalQuantity=rotational_frequency,
-)
-
-hertz = PhysicalUnit(
- name=str(unit_registry.hertz),
- description="Hertz (Hz) is the SI unit of frequency, defined as one cycle per second.",
- symbol=f"{unit_registry.hertz:~}",
- physicalQuantity=rotational_frequency,
-)
-
-# Pressure
-pressure = PhysicalQuantity(
- name="Pressure",
- description="Pressure is the force applied perpendicular to the surface of an object per unit area.",
- SIUnit=str(unit_registry.pascal),
- SIUnitSymbol=f"{unit_registry.pascal:~}",
-)
-
-pascal = PhysicalUnit(
- name=str(unit_registry.pascal),
- description="The pascal (Pa) is the SI unit of pressure, defined as one newton per square meter.",
- symbol=f"{unit_registry.pascal:~}",
- physicalQuantity=pressure,
-)
-
-bar = PhysicalUnit(
- name=str(unit_registry.bar),
- description="The bar is a metric unit of pressure defined as exactly 100,000 pascals.",
- symbol=f"{unit_registry.bar:~}",
- physicalQuantity=pressure,
-)
-
-atmosphere = PhysicalUnit(
- name=str(unit_registry.atm),
- description="The standard atmosphere (atm) is a unit of pressure defined as 101,325 Pa.",
- symbol=f"{unit_registry.atm:~}",
- physicalQuantity=pressure,
-)
-
-psi = PhysicalUnit(
- name=str(unit_registry.psi),
- description="Pounds per square inch (psi) is a unit of pressure based on avoirdupois units.",
- symbol=f"{unit_registry.psi:~}",
- physicalQuantity=pressure,
-)
-
-torr = PhysicalUnit(
- name=str(unit_registry.torr),
- description="The torr is a unit of pressure based on an absolute scale, defined as 1/760 of a standard atmosphere.",
- symbol=f"{unit_registry.torr:~}",
- physicalQuantity=pressure,
-)
-
-# Speed
-speed = PhysicalQuantity(
- name="Speed",
- description="Speed is the magnitude of velocity, measuring the rate of change of position with respect to time.",
- SIUnit=str(unit_registry("m/s").units),
- SIUnitSymbol=f"{unit_registry('m/s').units:~}",
-)
-
-meters_per_second = PhysicalUnit(
- name=str(unit_registry("m/s")),
- description="Meters per second (m/s) is the SI unit of speed.",
- symbol=f"{unit_registry('m/s'):~}",
- physicalQuantity=speed,
-)
-
-kilometers_per_hour = PhysicalUnit(
- name=str(unit_registry("km/h")),
- description="Kilometers per hour (km/h) is a unit of speed expressing "
- "the number of kilometers traveled in one hour.",
- symbol=f"{unit_registry('km/h'):~}",
- physicalQuantity=speed,
-)
-
-knots = PhysicalUnit(
- name=str(unit_registry.knot),
- description="The knot is a unit of speed equal to one nautical mile per hour, exactly 1.852 km/h.",
- symbol=f"{unit_registry.knot:~}",
- physicalQuantity=speed,
-)
-
-miles_per_hour = PhysicalUnit(
- name=str(unit_registry("mile/hour")),
- description="Miles per hour (mph) is a unit of speed expressing the number of statute miles covered in one hour.",
- symbol=f"{unit_registry('mile/hour'):~}",
- physicalQuantity=speed,
-)
-
-# Percentage
-percentage = PhysicalQuantity(
- name="Percentage",
- description="A percentage is a number or ratio expressed as a fraction of 100.",
- SIUnit=str(unit_registry.percent),
- SIUnitSymbol=f"{unit_registry.percent:~}",
-)
-
-percent = PhysicalUnit(
- name=str(unit_registry.percent),
- description="Percent (%) represents a ratio as a fraction of 100.",
- symbol=f"{unit_registry.percent:~}",
- physicalQuantity=percentage,
-)
-
-# Angle
-angle = PhysicalQuantity(
- name="Angle",
- description="An angle is the figure formed by two rays sharing a common endpoint.",
- SIUnit=str(unit_registry.radian),
- SIUnitSymbol=f"{unit_registry.radian:~}",
-)
-
-degree = PhysicalUnit(
- name=str(unit_registry.degree),
- description="A degree (°) is a measurement of plane angle, representing 1/360 of a full rotation.",
- symbol=f"{unit_registry.degree:~}",
- physicalQuantity=angle,
-)
-
-radian = PhysicalUnit(
- name=str(unit_registry.radian),
- description="A radian is the SI unit of angular measure, defined by the angle "
- "subtended at the center of a circle by an arc equal in length to the radius.",
- symbol=f"{unit_registry.radian:~}",
- physicalQuantity=angle,
-)
-
-# Length
-length = PhysicalQuantity(
- name="Length",
- description="Length is a measure of distance.",
- SIUnit=str(unit_registry.meter),
- SIUnitSymbol=f"{unit_registry.meter:~}",
-)
-
-meter = PhysicalUnit(
- name=str(unit_registry.meter),
- description="The meter is the SI base unit of length.",
- symbol=f"{unit_registry.meter:~}",
- physicalQuantity=length,
-)
-
-kilometer = PhysicalUnit(
- name=str(unit_registry.kilometer),
- description="A kilometer is a unit of length equal to 1000 meters.",
- symbol=f"{unit_registry.kilometer:~}",
- physicalQuantity=length,
-)
-
-mile = PhysicalUnit(
- name=str(unit_registry.mile),
- description="A mile is a unit of length equal to 1.60934 kilometers or 5280 feet.",
- symbol=f"{unit_registry.mile:~}",
- physicalQuantity=length,
-)
-
-foot = PhysicalUnit(
- name=str(unit_registry.foot),
- description="A foot is a unit of length equal to 0.3048 meters.",
- symbol=f"{unit_registry.foot:~}",
- physicalQuantity=length,
-)
-
-inch = PhysicalUnit(
- name=str(unit_registry.inch),
- description="An inch is a unit of length equal to exactly 2.54 centimeters.",
- symbol=f"{unit_registry.inch:~}",
- physicalQuantity=length,
-)
-
-nautical_mile = PhysicalUnit(
- name=str(unit_registry.nautical_mile),
- description="A nautical mile is a unit of length used in marine and air navigation, equal to exactly 1,852 meters.",
- symbol=f"{unit_registry.nautical_mile:~}",
- physicalQuantity=length,
-)
-
-# Power
-power = PhysicalQuantity(
- name="Power",
- description="Power is the rate at which energy is transferred, used, or transformed.",
- SIUnit=str(unit_registry.watt),
- SIUnitSymbol=f"{unit_registry.watt:~}",
-)
-
-watt = PhysicalUnit(
- name=str(unit_registry.watt),
- description="The watt is the SI unit of power, defined as one joule per second.",
- symbol=f"{unit_registry.watt:~}",
- physicalQuantity=power,
-)
-
-kilowatt = PhysicalUnit(
- name=str(unit_registry.kilowatt),
- description="A kilowatt is a unit of power equal to one thousand watts.",
- symbol=f"{unit_registry.kilowatt:~}",
- physicalQuantity=power,
-)
-
-horsepower = PhysicalUnit(
- name=str(unit_registry.horsepower),
- description="Horsepower is a unit of power, with one mechanical horsepower equal to about 745.7 watts.",
- symbol=f"{unit_registry.horsepower:~}",
- physicalQuantity=power,
-)
-
-megawatt = PhysicalUnit(
- name=str(unit_registry.megawatt),
- description="A megawatt is a unit of power equal to one million watts.",
- symbol=f"{unit_registry.megawatt:~}",
- physicalQuantity=power,
-)
-
-# Volumetric Flow Rate
-volumetric_flow_rate = PhysicalQuantity(
- name="Volumetric Flow Rate",
- description="Volumetric flow rate is the volume of fluid which passes through a given surface per unit time.",
- SIUnit=str(unit_registry.meter**3 / unit_registry.second),
- SIUnitSymbol=f"{unit_registry.meter**3 / unit_registry.second:~}",
-)
-
-cubic_meter_per_second = PhysicalUnit(
- name=str(unit_registry.meter**3 / unit_registry.second),
- description="The cubic meter per second is the SI unit of volumetric flow rate.",
- symbol=f"{unit_registry.meter**3 / unit_registry.second:~}",
- physicalQuantity=volumetric_flow_rate,
-)
-
-liter_per_hour = PhysicalUnit(
- name=str(unit_registry.liter / unit_registry.hour),
- description="A liter per hour measures the volume of fluid that passes through a given surface in one hour.",
- symbol=f"{unit_registry.liter / unit_registry.hour:~}",
- physicalQuantity=volumetric_flow_rate,
-)
-
-gallons_per_minute = PhysicalUnit(
- name=str(unit_registry.gallon / unit_registry.minute),
- description="Gallons per minute (GPM) is a measure of the volume flow rate of a liquid.",
- symbol=f"{unit_registry.gallon / unit_registry.minute:~}",
- physicalQuantity=volumetric_flow_rate,
-)
-
-cubic_feet_per_minute = PhysicalUnit(
- name=str(unit_registry.cubic_foot / unit_registry.minute),
- description="Cubic feet per minute (CFM) is a measure of volumetric flow rate.",
- symbol=f"{unit_registry.cubic_foot / unit_registry.minute:~}",
- physicalQuantity=volumetric_flow_rate,
-)
-
-# Mass
-mass = PhysicalQuantity(
- name="Mass",
- description="Mass is a property of a physical body and a measure "
- "of its resistance to acceleration when a net force is applied.",
- SIUnit=str(unit_registry.kilogram),
- SIUnitSymbol=f"{unit_registry.kilogram:~}",
-)
-
-kilogram = PhysicalUnit(
- name=str(unit_registry.kilogram),
- description="The kilogram is the SI base unit of mass, defined by the Planck constant.",
- symbol=f"{unit_registry.kilogram:~}",
- physicalQuantity=mass,
-)
-
-gram = PhysicalUnit(
- name=str(unit_registry.gram),
- description="A gram is a metric unit of mass equal to one thousandth of a kilogram.",
- symbol=f"{unit_registry.gram:~}",
- physicalQuantity=mass,
-)
-
-metric_ton = PhysicalUnit(
- name=str(unit_registry.metric_ton),
- description="A metric ton (tonne) is a unit of mass equal to 1000 kilograms.",
- symbol=f"{unit_registry.metric_ton:~}",
- physicalQuantity=mass,
-)
-
-pound = PhysicalUnit(
- name=str(unit_registry.pound),
- description="The pound is a unit of mass used in the imperial system, defined exactly as 0.45359237 kilograms.",
- symbol=f"{unit_registry.pound:~}",
- physicalQuantity=mass,
-)
-
-ounce = PhysicalUnit(
- name=str(unit_registry.ounce),
- description="An ounce is a unit of mass equal to approximately 28.35 grams or 1/16 of a pound.",
- symbol=f"{unit_registry.ounce:~}",
- physicalQuantity=mass,
-)
-
-# Energy
-energy = PhysicalQuantity(
- name="Energy",
- description="Energy is the capacity for doing work. It may exist in "
- "potential, kinetic, thermal, electrical, chemical, nuclear, or other various forms.",
- SIUnit=str(unit_registry.joule),
- SIUnitSymbol=f"{unit_registry.joule:~}",
-)
-
-joule = PhysicalUnit(
- name=str(unit_registry.joule),
- description="The joule is the SI unit of energy, equal to the energy transferred "
- "when applying a force of one newton through a distance of one meter.",
- symbol=f"{unit_registry.joule:~}",
- physicalQuantity=energy,
-)
-
-kilowatt_hour = PhysicalUnit(
- name=str(unit_registry.kilowatt_hour),
- description="A kilowatt-hour is a unit of energy equal to 3.6 megajoules.",
- symbol=f"{unit_registry.kilowatt_hour:~}",
- physicalQuantity=energy,
-)
-
-calorie = PhysicalUnit(
- name=str(unit_registry.calorie),
- description="A calorie is a unit of energy equal to about 4.184 joules.",
- symbol=f"{unit_registry.calorie:~}",
- physicalQuantity=energy,
-)
-
-electron_volt = PhysicalUnit(
- name=str(unit_registry.electron_volt),
- description="The electron volt is a unit of energy equal to approximately 1.602×10^−19 joules.",
- symbol=f"{unit_registry.electron_volt:~}",
- physicalQuantity=energy,
-)
-
-# Time
-time = PhysicalQuantity(
- name="Time",
- description="Time is the indefinite continued progress of existence and events that occur in an apparently "
- "irreversible succession from the past, through the present, into the future.",
- SIUnit=str(unit_registry.second),
- SIUnitSymbol=f"{unit_registry.second:~}",
-)
-
-second = PhysicalUnit(
- name=str(unit_registry.second),
- description="The second is the SI base unit of time, defined by taking"
- " the fixed numerical value of the caesium frequency.",
- symbol=f"{unit_registry.second:~}",
- physicalQuantity=time,
-)
-
-minute = PhysicalUnit(
- name=str(unit_registry.minute),
- description="A minute is a unit of time equal to 60 seconds.",
- symbol=f"{unit_registry.minute:~}",
- physicalQuantity=time,
-)
-
-hour = PhysicalUnit(
- name=str(unit_registry.hour),
- description="An hour is a unit of time equal to 60 minutes or 3600 seconds.",
- symbol=f"{unit_registry.hour:~}",
- physicalQuantity=time,
-)
-
-day = PhysicalUnit(
- name=str(unit_registry.day),
- description="A day is a unit of time equal to 24 hours or 86,400 seconds.",
- symbol=f"{unit_registry.day:~}",
- physicalQuantity=time,
-)
-
-week = PhysicalUnit(
- name=str(unit_registry.week),
- description="A week is a unit of time equal to 7 days.",
- symbol=f"{unit_registry.week:~}",
- physicalQuantity=time,
-)
-
-year = PhysicalUnit(
- name=str(unit_registry.year),
- description="A year is approximately the time it takes for the Earth to complete one revolution around the Sun.",
- symbol=f"{unit_registry.year:~}",
- physicalQuantity=time,
-)
-
-# Force
-force = PhysicalQuantity(
- name="Force",
- description="Force is any interaction that, when unopposed, will change the motion of an object.",
- SIUnit=str(unit_registry.newton),
- SIUnitSymbol=f"{unit_registry.newton:~}",
-)
-
-newton = PhysicalUnit(
- name=str(unit_registry.newton),
- description="The newton is the SI unit of force. It is defined as the force required "
- "to accelerate a mass of one kilogram at a rate of one meter per second squared.",
- symbol=f"{unit_registry.newton:~}",
- physicalQuantity=force,
-)
-
-pound_force = PhysicalUnit(
- name=str(unit_registry.pound_force),
- description="The pound-force is a unit of force in some systems of measurement "
- "including English Engineering units and British Gravitational units.",
- symbol=f"{unit_registry.pound_force:~}",
- physicalQuantity=force,
-)
-
-dyne = PhysicalUnit(
- name=str(unit_registry.dyne),
- description="The dyne is a unit of force in the CGS system, equal to 10^-5 newtons.",
- symbol=f"{unit_registry.dyne:~}",
- physicalQuantity=force,
-)
-
-# Area
-area = PhysicalQuantity(
- name="Area",
- description="Area is the quantity that expresses the extent of a two-dimensional figure or shape in the plane.",
- SIUnit=str(unit_registry.meter**2),
- SIUnitSymbol=f"{unit_registry.meter**2:~}",
-)
-
-square_meter = PhysicalUnit(
- name=str(unit_registry.meter**2),
- description="The square meter is the SI unit of area.",
- symbol=f"{unit_registry.meter**2:~}",
- physicalQuantity=area,
-)
-
-square_kilometer = PhysicalUnit(
- name=str(unit_registry.kilometer**2),
- description="The square kilometer is a unit of area equal to 1,000,000 square meters.",
- symbol=f"{unit_registry.kilometer**2:~}",
- physicalQuantity=area,
-)
-
-hectare = PhysicalUnit(
- name=str(unit_registry.hectare),
- description="The hectare is a non-SI metric unit of area equal to 10,000 square meters or one square hectometer.",
- symbol=f"{unit_registry.hectare:~}",
- physicalQuantity=area,
-)
-
-acre = PhysicalUnit(
- name=str(unit_registry.acre),
- description="The acre is a unit of land area used in the imperial and US customary systems.",
- symbol=f"{unit_registry.acre:~}",
- physicalQuantity=area,
-)
-
-# Volume
-volume = PhysicalQuantity(
- name="Volume",
- description="Volume is the quantity of three-dimensional space enclosed by a closed surface.",
- SIUnit=str(unit_registry.meter**3),
- SIUnitSymbol=f"{unit_registry.meter**3:~}",
-)
-
-cubic_meter = PhysicalUnit(
- name=str(unit_registry.meter**3),
- description="The cubic meter is the SI unit of volume.",
- symbol=f"{unit_registry.meter**3:~}",
- physicalQuantity=volume,
-)
-
-liter = PhysicalUnit(
- name=str(unit_registry.liter),
- description="The liter is a metric unit of volume equal to 1 cubic decimeter.",
- symbol=f"{unit_registry.liter:~}",
- physicalQuantity=volume,
-)
-
-gallon = PhysicalUnit(
- name=str(unit_registry.gallon),
- description="The gallon is a unit of volume in imperial and US customary systems.",
- symbol=f"{unit_registry.gallon:~}",
- physicalQuantity=volume,
-)
-
-cubic_foot = PhysicalUnit(
- name=str(unit_registry.cubic_foot),
- description="The cubic foot is an imperial and US customary unit of volume.",
- symbol=f"{unit_registry.cubic_foot:~}",
- physicalQuantity=volume,
-)
-
-# Density
-density = PhysicalQuantity(
- name="Density",
- description="Density is the mass per unit volume of a substance.",
- SIUnit=str(unit_registry.kilogram / unit_registry.meter**3),
- SIUnitSymbol=f"{unit_registry.kilogram / unit_registry.meter**3:~}",
-)
-
-kilogram_per_cubic_meter = PhysicalUnit(
- name=str(unit_registry.kilogram / unit_registry.meter**3),
- description="Kilogram per cubic meter is the SI unit of density.",
- symbol=f"{unit_registry.kilogram / unit_registry.meter**3:~}",
- physicalQuantity=density,
-)
-
-gram_per_cubic_centimeter = PhysicalUnit(
- name=str(unit_registry.gram / unit_registry.centimeter**3),
- description="Gram per cubic centimeter is a common unit of density.",
- symbol=f"{unit_registry.gram / unit_registry.centimeter**3:~}",
- physicalQuantity=density,
-)
-
-# Electric Current
-electric_current = PhysicalQuantity(
- name="Electric Current",
- description="Electric current is the rate of flow of electric charge past a point or region.",
- SIUnit=str(unit_registry.ampere),
- SIUnitSymbol=f"{unit_registry.ampere:~}",
-)
-
-ampere = PhysicalUnit(
- name=str(unit_registry.ampere),
- description="The ampere is the SI base unit of electric current.",
- symbol=f"{unit_registry.ampere:~}",
- physicalQuantity=electric_current,
-)
-
-# Voltage
-voltage = PhysicalQuantity(
- name="Voltage",
- description="Voltage, also called electromotive force, is the difference in electric potential between two points.",
- SIUnit=str(unit_registry.volt),
- SIUnitSymbol=f"{unit_registry.volt:~}",
-)
-
-volt = PhysicalUnit(
- name=str(unit_registry.volt),
- description="The volt is the SI derived unit for electric potential, "
- "electric potential difference, and electromotive force.",
- symbol=f"{unit_registry.volt:~}",
- physicalQuantity=voltage,
-)
-
-# Resistance
-resistance = PhysicalQuantity(
- name="Resistance",
- description="Electrical resistance is the opposition to the flow of electric current through a material.",
- SIUnit=str(unit_registry.ohm),
- SIUnitSymbol=f"{unit_registry.ohm:~}",
-)
-
-ohm = PhysicalUnit(
- name=str(unit_registry.ohm),
- description="The ohm is the SI derived unit of electrical resistance.",
- symbol=f"{unit_registry.ohm:~}",
- physicalQuantity=resistance,
-)
-
-# Frequency
-frequency = PhysicalQuantity(
- name="Frequency",
- description="Frequency is the number of occurrences of a repeating event per unit of time.",
- SIUnit=str(unit_registry.hertz),
- SIUnitSymbol=f"{unit_registry.hertz:~}",
-)
-
-hertz = PhysicalUnit(
- name=str(unit_registry.hertz),
- description="The hertz is the derived unit of frequency in the SI.",
- symbol=f"{unit_registry.hertz:~}",
- physicalQuantity=frequency,
-)
-
-# Luminous Intensity
-luminous_intensity = PhysicalQuantity(
- name="Luminous Intensity",
- description="Luminous intensity is the quantity of visible light emitted by a source per unit solid angle.",
- SIUnit=str(unit_registry.candela),
- SIUnitSymbol=f"{unit_registry.candela:~}",
-)
-
-candela = PhysicalUnit(
- name=str(unit_registry.candela),
- description="The candela is the SI base unit of luminous intensity.",
- symbol=f"{unit_registry.candela:~}",
- physicalQuantity=luminous_intensity,
-)
-
-# This list can be further extended with more quantities and units as needed.
-# Boolean values can occur, just as dimensionless values:
-
-dimensionless = PhysicalQuantity(
- name="Dimensionless",
- description="A dimensionless quantity is a quantity that has no units.",
- SIUnit=str(unit_registry.dimensionless),
- SIUnitSymbol=f"{unit_registry.dimensionless:~}",
-)
-
-boolean = PhysicalUnit(
- name="Boolean",
- description="Boolean is a physical quantity that represents a binary value of true or false.",
- symbol=f"{unit_registry.dimensionless:~}",
- physicalQuantity=dimensionless,
-)
-
-dimensionless_unit = PhysicalUnit(
- name=str(unit_registry.dimensionless),
- description="The dimensionless unit is a unit of measurement that has no units.",
- symbol=f"{unit_registry.dimensionless:~}",
- physicalQuantity=dimensionless,
-)
diff --git a/nortech/derivers/values/physical_units_schema.py b/nortech/derivers/values/physical_units_schema.py
deleted file mode 100644
index 451c66b..0000000
--- a/nortech/derivers/values/physical_units_schema.py
+++ /dev/null
@@ -1,39 +0,0 @@
-from pydantic import BaseModel, ConfigDict, Field
-
-
-class PhysicalQuantity(BaseModel):
- """Pydantic model for physical quantity data.
-
- Attributes:
- name (str): The name of the physical quantity.
- description (str): A description of the physical quantity.
- si_unit (str): The SI unit for this physical quantity.
- si_unit_symbol (str): The symbol for the SI unit.
-
- """
-
- model_config = ConfigDict(populate_by_name=True)
-
- name: str
- description: str
- si_unit: str = Field(alias="SIUnit")
- si_unit_symbol: str = Field(alias="SIUnitSymbol")
-
-
-class PhysicalUnit(BaseModel):
- """Pydantic model for physical unit data.
-
- Attributes:
- name (str): The name of the physical unit.
- description (str): A description of the physical unit.
- symbol (str): The symbol for this physical unit.
- physical_quantity (PhysicalQuantity): The physical quantity this unit measures.
-
- """
-
- model_config = ConfigDict(populate_by_name=True)
-
- name: str
- description: str
- symbol: str
- physical_quantity: PhysicalQuantity = Field(alias="physicalQuantity")
diff --git a/nortech/derivers/values/schema.py b/nortech/derivers/values/schema.py
deleted file mode 100644
index 535b849..0000000
--- a/nortech/derivers/values/schema.py
+++ /dev/null
@@ -1,334 +0,0 @@
-from __future__ import annotations
-
-import typing
-from datetime import datetime
-from enum import Enum
-from typing import (
- Any,
- Callable,
- Generic,
- Optional,
- Type,
- TypeVar,
- Union,
- get_args,
- get_origin,
-)
-
-from bytewax.dataflow import Stream
-from pydantic import BaseModel, ConfigDict, Field
-from pydantic._internal._model_construction import ModelMetaclass
-from typing_extensions import dataclass_transform
-
-from nortech.derivers.values.physical_units_schema import PhysicalQuantity
-
-
-class DataTypeEnum(str, Enum):
- """Enumeration of supported data types.
-
- Attributes:
- float: Floating point number type
- boolean: Boolean type
- string: String type
- json: JSON type
-
- """
-
- float = "float"
- boolean = "boolean"
- string = "string"
- json = "json"
-
-
-class DeriverSchemaConfiguration(BaseModel):
- """Pydantic model for deriver schema configuration data.
-
- Attributes:
- name (str): The name of the configuration parameter.
- description (str): A description of the configuration parameter.
- data_type (DataTypeEnum): The data type of the configuration parameter.
-
- """
-
- model_config = ConfigDict(populate_by_name=True)
-
- name: str
- description: str
- data_type: DataTypeEnum = Field(alias="dataType")
-
-
-class DeriverSchemaOutput(BaseModel):
- """Pydantic model for deriver schema output data.
-
- Attributes:
- name (str): The name of the output.
- description (str): A description of the output.
- data_type (DataTypeEnum): The data type of the output.
- physical_quantity (PhysicalQuantity | None): The physical quantity of the output, if applicable.
-
- """
-
- model_config = ConfigDict(populate_by_name=True)
-
- name: str
- description: str
- data_type: DataTypeEnum = Field(alias="dataType")
- physical_quantity: PhysicalQuantity | None = Field(alias="physicalQuantity")
-
-
-class SuggestedInput(DeriverSchemaOutput):
- """Pydantic model for suggested input data.
-
- Attributes:
- name (str): The name of the suggested input.
- description (str): A description of the suggested input.
- data_type (DataTypeEnum): The data type of the suggested input.
- physical_quantity (PhysicalQuantity | None): The physical quantity of the suggested input, if applicable.
- create_deriver_schema (Callable[[], DeriverSchema]): Function that creates the deriver schema for this input.
-
- """
-
- create_deriver_schema: Callable[[], "DeriverSchema"] = Field(alias="createDeriverSchema")
-
-
-def InputField( # noqa: N802
- description: str,
- physical_quantity: PhysicalQuantity | None,
- suggested_inputs: list[Any] | None = None,
-):
- """Create an input field with metadata.
-
- Args:
- description (str): Description of the input field.
- physical_quantity (PhysicalQuantity | None): Physical quantity of the input field.
- suggested_inputs (list[Any] | None, optional): List of suggested inputs. Defaults to None.
-
- Returns:
- Field: A pydantic Field with the specified metadata.
-
- """
- return Field(
- description=description,
- json_schema_extra={
- "physical_quantity": physical_quantity.model_dump() if physical_quantity else None,
- "suggested_inputs_from_other_derivers": [
- output.model_dump() for output in map(suggested_input_to_output_schema, suggested_inputs or [])
- ],
- },
- )
-
-
-def get_actual_type(field_annotation) -> DataTypeEnum:
- # Extract the actual type from Optional or Union hints
- if get_origin(field_annotation) in (Union, Optional):
- # Assuming the first argument is the desired type and not None
- actual_type = next(t for t in get_args(field_annotation) if t is not None)
- else:
- actual_type = field_annotation
-
- # Convert actual_type to DataTypeEnum
- if actual_type in [int, float]:
- return DataTypeEnum.float
- if actual_type is bool:
- return DataTypeEnum.boolean
- if actual_type is str:
- return DataTypeEnum.string
- return DataTypeEnum.json
-
-
-def suggested_input_to_output_schema(
- suggested_input,
-) -> SuggestedInput:
- field_name, field = suggested_input
-
- json_schema_extra = field.json_schema_extra
- physical_quantity = (
- PhysicalQuantity(**json_schema_extra["physical_quantity"]) if json_schema_extra["physical_quantity"] else None
- )
- create_deriver_schema = json_schema_extra["create_deriver_schema"] # type: ignore
-
- assert field.description is not None
- assert field.annotation is not None
-
- actual_type = get_actual_type(field.annotation)
-
- return SuggestedInput(
- name=field_name,
- description=field.description,
- dataType=actual_type,
- physicalQuantity=physical_quantity,
- createDeriverSchema=create_deriver_schema,
- )
-
-
-# Define a custom metaclass that overrides __getattr__
-@dataclass_transform(kw_only_default=True, field_specifiers=(Field, InputField))
-class ModelMeta(ModelMetaclass):
- if not typing.TYPE_CHECKING: # pragma: no branch
-
- def __getattr__(self, name: str) -> Any:
- if name == "timestamp":
- raise AttributeError("Timestamp should not be referenced")
-
- if name in self.model_fields:
- return (name, self.model_fields[name])
-
- return super().__getattr__(name)
-
-
-class PartialInput(BaseModel):
- timestamp: datetime = Field(description="Timestamp")
-
- model_config = ConfigDict(
- extra="allow",
- )
-
-
-class DeriverInputSchema(PartialInput, metaclass=ModelMeta):
- """Pydantic model for deriver schema input data.
-
- Attributes:
- timestamp (datetime): The timestamp for the input.
-
- """
-
- timestamp: datetime = Field(description="Timestamp for the input")
-
- model_config = ConfigDict(
- extra="forbid",
- )
-
-
-class DeriverOutputSchema(PartialInput, metaclass=ModelMeta):
- """Pydantic model for deriver schema output data.
-
- Attributes:
- timestamp (datetime): The timestamp for the output.
-
- """
-
- timestamp: datetime = Field(description="Timestamp for the output")
-
- model_config = ConfigDict(
- extra="forbid",
- )
-
-
-PartialInputType = TypeVar("PartialInputType", bound=PartialInput)
-
-
-InputType = TypeVar("InputType", bound=DeriverInputSchema)
-OutputType = TypeVar("OutputType", bound=DeriverOutputSchema)
-ConfigurationType = TypeVar("ConfigurationType", bound=BaseModel)
-
-
-class DeriverSchema(BaseModel, Generic[InputType, OutputType, ConfigurationType]):
- """Pydantic model for a deriver schema.
-
- Attributes:
- name (str): The name of the deriver.
- description (str): A description of the deriver.
- inputs (Type[InputType]): The input schema type.
- outputs (Type[OutputType]): The output schema type.
- configurations (Type[ConfigurationType]): The configuration schema type.
- transform_stream (Callable): Function that transforms input stream to output stream given a configuration.
-
- """
-
- name: str
- description: str
-
- inputs: Type[InputType]
- outputs: Type[OutputType]
- configurations: Type[ConfigurationType]
- transform_stream: Callable[[Stream[InputType], ConfigurationType], Stream[OutputType]]
-
- model_config = ConfigDict(arbitrary_types_allowed=True)
-
-
-def OutputField( # noqa: N802
- description: str,
- physical_quantity: PhysicalQuantity | None,
- create_deriver_schema: Callable[[], DeriverSchema],
-):
- """Create an output field with metadata.
-
- Args:
- description (str): Description of the output field.
- physical_quantity (PhysicalQuantity | None): Physical quantity of the output field.
- create_deriver_schema (Callable[[], DeriverSchema]): Function that creates the deriver schema.
-
- Returns:
- Field: A pydantic Field with the specified metadata.
-
- """
- return Field(
- description=description,
- json_schema_extra={
- "physical_quantity": physical_quantity.model_dump() if physical_quantity else None,
- "create_deriver_schema": create_deriver_schema, # type: ignore
- },
- )
-
-
-class DeriverSchemaOutputWithDAG(DeriverSchemaOutput):
- """Pydantic model for deriver schema output with DAG information.
-
- Attributes:
- name (str): The name of the output.
- description (str): A description of the output.
- data_type (DataTypeEnum): The data type of the output.
- physical_quantity (PhysicalQuantity | None): The physical quantity of the output, if applicable.
- deriver_schema_dag (DeriverSchemaDAG): The DAG associated with this output.
-
- """
-
- deriver_schema_dag: "DeriverSchemaDAG"
-
-
-class DeriverSchemaInput(BaseModel, Generic[InputType, OutputType, ConfigurationType]):
- """Pydantic model for deriver schema input with suggested inputs.
-
- Attributes:
- name (str): The name of the input.
- description (str): A description of the input.
- data_type (DataTypeEnum): The data type of the input.
- physical_quantity (PhysicalQuantity | None): The physical quantity of the input.
- suggested_inputs_from_other_derivers (list[DeriverSchemaOutputWithDAG]): List of suggested inputs.
-
- """
-
- model_config = ConfigDict(populate_by_name=True)
-
- name: str
- description: str
- data_type: DataTypeEnum = Field(alias="dataType")
-
- physical_quantity: PhysicalQuantity | None = Field(alias="physicalQuantity")
-
- suggested_inputs_from_other_derivers: list["DeriverSchemaOutputWithDAG"] = Field(
- default_factory=list, alias="suggestedInputsFromOtherDerivers"
- )
-
-
-class DeriverSchemaDAG(BaseModel):
- """Pydantic model for a deriver schema DAG.
-
- Attributes:
- name (str): The name of the deriver schema.
- description (str): A description of the deriver schema.
- inputs (list[DeriverSchemaInput]): List of inputs in the deriver schema.
- outputs (list[DeriverSchemaOutput]): List of outputs in the deriver schema.
- configurations (list[DeriverSchemaConfiguration]): List of configurations in the deriver schema.
- script (str): The script associated with this deriver schema.
-
- """
-
- name: str
- description: str
-
- inputs: list[DeriverSchemaInput]
- outputs: list[DeriverSchemaOutput]
- configurations: list[DeriverSchemaConfiguration]
-
- script: str
diff --git a/nortech/gateways/nortech_api.py b/nortech/gateways/nortech_api.py
index c85d793..ab3ac66 100644
--- a/nortech/gateways/nortech_api.py
+++ b/nortech/gateways/nortech_api.py
@@ -10,13 +10,15 @@
from urllib3.util import Timeout
from urllib3.util.retry import Retry
+from nortech.__version__ import __version__
+
class NortechAPISettings(BaseSettings):
- model_config = SettingsConfigDict(env_prefix="NORTECH_API_", env_file=(".env", ".env.prod"))
+ model_config = SettingsConfigDict(env_prefix="NORTECH_API_", env_file=(".env", ".env.prod"), extra="ignore")
URL: str = Field(default="https://api.apps.nor.tech")
KEY: str = Field(default=...)
- USER_AGENT: str = Field(default="nortech-python/0.9.4")
+ USER_AGENT: str = Field(default=f"nortech-python/{__version__}")
IGNORE_PAGINATION: bool = True
EXPERIMENTAL_FEATURES: bool = False
TIMEOUT: float | Timeout = Field(default=Timeout(connect=10, read=60))
@@ -36,7 +38,10 @@ def __init__(self, settings: NortechAPISettings | None = None) -> None:
super().__init__()
self.settings = settings or NortechAPISettings()
self.mount(self.settings.URL, HTTPAdapter(max_retries=self.settings.RETRY))
- self.headers = {"Authorization": f"Bearer {self.settings.KEY}", "User-Agent": self.settings.USER_AGENT}
+ self.headers = {
+ "Authorization": f"Bearer {self.settings.KEY}",
+ "User-Agent": self.settings.USER_AGENT,
+ }
self.ignore_pagination = self.settings.IGNORE_PAGINATION
def request(
diff --git a/nortech/logger.py b/nortech/logger.py
new file mode 100644
index 0000000..3014e20
--- /dev/null
+++ b/nortech/logger.py
@@ -0,0 +1,49 @@
+from __future__ import annotations
+
+import logging
+import sys
+from typing import Literal
+
+import structlog
+from pydantic_settings import BaseSettings, SettingsConfigDict
+
+LOG_LEVELS = Literal["CRITICAL", "FATAL", "ERROR", "WARN", "WARNING", "INFO", "DEBUG", "NOTSET"]
+
+
+class NortechLoggerSettings(BaseSettings):
+ model_config = SettingsConfigDict(env_prefix="NORTECH_LOG_", env_file=(".env", ".env.prod"), extra="ignore")
+
+ LEVEL: LOG_LEVELS = "INFO"
+
+
+def get_logger(
+ level: LOG_LEVELS = "INFO",
+):
+ structlog.configure(
+ processors=[
+ structlog.stdlib.filter_by_level,
+ structlog.stdlib.add_log_level,
+ structlog.stdlib.PositionalArgumentsFormatter(),
+ structlog.processors.StackInfoRenderer(),
+ structlog.processors.format_exc_info,
+ structlog.processors.UnicodeDecoder(),
+ structlog.stdlib.ProcessorFormatter.wrap_for_formatter,
+ ],
+ context_class=dict,
+ logger_factory=structlog.stdlib.LoggerFactory(),
+ wrapper_class=structlog.stdlib.BoundLogger,
+ cache_logger_on_first_use=True,
+ )
+
+ formatter = structlog.stdlib.ProcessorFormatter(processor=structlog.dev.ConsoleRenderer(colors=sys.stdout.isatty()))
+
+ handler = logging.StreamHandler()
+ handler.setFormatter(formatter)
+
+ logger = structlog.stdlib.get_logger(nortech_sdk=True)
+ logger.addHandler(handler)
+ logger.setLevel(logging.getLevelName(level))
+ return logger
+
+
+logger = get_logger(NortechLoggerSettings().LEVEL)
diff --git a/nortech/metadata/__init__.py b/nortech/metadata/__init__.py
index 015eed4..8fa2504 100644
--- a/nortech/metadata/__init__.py
+++ b/nortech/metadata/__init__.py
@@ -9,11 +9,30 @@
import nortech.metadata.services.unit as unit_service
import nortech.metadata.services.workspace as workspace_service
from nortech.gateways.nortech_api import NortechAPI
-from nortech.metadata.values.asset import AssetInput, AssetInputDict, AssetListOutput, AssetOutput
+from nortech.metadata.values.asset import (
+ AssetInput,
+ AssetInputDict,
+ AssetListOutput,
+ AssetOutput,
+)
from nortech.metadata.values.common import MetadataOutput
-from nortech.metadata.values.device import DeviceInput, DeviceInputDict, DeviceListOutput, DeviceOutput
-from nortech.metadata.values.division import DivisionInput, DivisionInputDict, DivisionListOutput, DivisionOutput
-from nortech.metadata.values.pagination import NextRef, PaginatedResponse, PaginationOptions
+from nortech.metadata.values.device import (
+ DeviceInput,
+ DeviceInputDict,
+ DeviceListOutput,
+ DeviceOutput,
+)
+from nortech.metadata.values.division import (
+ DivisionInput,
+ DivisionInputDict,
+ DivisionListOutput,
+ DivisionOutput,
+)
+from nortech.metadata.values.pagination import (
+ NextRef,
+ PaginatedResponse,
+ PaginationOptions,
+)
from nortech.metadata.values.signal import (
SignalDeviceInput,
SignalDeviceInputDict,
@@ -22,12 +41,23 @@
SignalListOutput,
SignalOutput,
)
-from nortech.metadata.values.unit import UnitInput, UnitInputDict, UnitListOutput, UnitOutput
-from nortech.metadata.values.workspace import WorkspaceInput, WorkspaceInputDict, WorkspaceListOutput, WorkspaceOutput
+from nortech.metadata.values.unit import (
+ UnitInput,
+ UnitInputDict,
+ UnitListOutput,
+ UnitOutput,
+)
+from nortech.metadata.values.workspace import (
+ WorkspaceInput,
+ WorkspaceInputDict,
+ WorkspaceListOutput,
+ WorkspaceOutput,
+)
class Metadata:
- """Client for interacting with the Nortech Metadata API.
+ """
+ Client for interacting with the Nortech Metadata API.
Attributes:
workspace (Workspace): Client for interacting with the Nortech Metadata Workspace API.
@@ -55,9 +85,11 @@ def __init__(self, nortech_api: NortechAPI):
self.nortech_api = nortech_api
def get(
- self, workspace: int | str | WorkspaceInputDict | WorkspaceInput | WorkspaceOutput | WorkspaceListOutput
+ self,
+ workspace: int | str | WorkspaceInputDict | WorkspaceInput | WorkspaceOutput | WorkspaceListOutput,
) -> WorkspaceOutput:
- """Get a workspace by ID or name.
+ """
+ Get a workspace by ID or name.
Args:
workspace (int | str | WorkspaceInputDict | WorkspaceInput | WorkspaceOutput | WorkspaceListOutput): The workspace identifier, which can be:
@@ -105,9 +137,11 @@ def get(
return workspace_service.get_workspace(self.nortech_api, workspace)
def list(
- self, pagination_options: PaginationOptions[Literal["id", "name", "description"]] | None = None
+ self,
+ pagination_options: PaginationOptions[Literal["id", "name", "description"]] | None = None,
) -> PaginatedResponse[WorkspaceListOutput]:
- """List all workspaces.
+ """
+ List all workspaces.
Args:
pagination_options (PaginationOptions, optional): Pagination settings.
@@ -157,7 +191,8 @@ def __init__(self, nortech_api: NortechAPI):
self.nortech_api = nortech_api
def get(self, asset: int | AssetInputDict | AssetInput | AssetOutput | AssetListOutput) -> AssetOutput:
- """Get an asset by ID or input.
+ """
+ Get an asset by ID or input.
Args:
asset (int | AssetInputDict | AssetInput | AssetOutput | AssetListOutput): The asset identifier, which can be:
@@ -209,7 +244,8 @@ def list(
workspace: int | str | WorkspaceInputDict | WorkspaceInput | WorkspaceOutput | WorkspaceListOutput,
pagination_options: PaginationOptions[Literal["id", "name", "description"]] | None = None,
) -> PaginatedResponse[AssetListOutput]:
- """List all assets in a workspace.
+ """
+ List all assets in a workspace.
Args:
workspace (int | str | WorkspaceInputDict | WorkspaceInput | WorkspaceOutput | WorkspaceListOutput): The workspace identifier, which can be:
@@ -276,9 +312,11 @@ def __init__(self, nortech_api: NortechAPI):
self.nortech_api = nortech_api
def get(
- self, division: int | DivisionInputDict | DivisionInput | DivisionOutput | DivisionListOutput
+ self,
+ division: int | DivisionInputDict | DivisionInput | DivisionOutput | DivisionListOutput,
) -> DivisionOutput:
- """Get a division by ID or input.
+ """
+ Get a division by ID or input.
Args:
division (int | DivisionInputDict | DivisionInput | DivisionOutput | DivisionListOutput): The division identifier, which can be:
@@ -336,7 +374,8 @@ def list(
asset: int | AssetInputDict | AssetInput | AssetOutput | AssetListOutput,
pagination_options: PaginationOptions[Literal["id", "name", "description"]] | None = None,
) -> PaginatedResponse[DivisionListOutput]:
- """List all divisions in an asset.
+ """
+ List all divisions in an asset.
Args:
asset (int | AssetInputDict | AssetInput | AssetOutput | AssetListOutput): The asset identifier, which can be:
@@ -398,7 +437,8 @@ def list_by_workspace_id(
workspace_id: int,
pagination_options: PaginationOptions[Literal["id", "name", "description"]] | None = None,
) -> PaginatedResponse[DivisionListOutput]:
- """List all divisions in a workspace.
+ """
+ List all divisions in a workspace.
Args:
workspace_id (int): The workspace ID.
@@ -449,7 +489,8 @@ def __init__(self, nortech_api: NortechAPI):
self.nortech_api = nortech_api
def get(self, unit: int | UnitInputDict | UnitInput | UnitOutput | UnitListOutput) -> UnitOutput:
- """Get a unit by ID or input.
+ """
+ Get a unit by ID or input.
Args:
unit (int | UnitInputDict | UnitInput | UnitOutput | UnitListOutput): The unit identifier, which can be:
@@ -512,7 +553,8 @@ def list(
division: int | DivisionInputDict | DivisionInput | DivisionOutput | DivisionListOutput,
pagination_options: PaginationOptions[Literal["id", "name"]] | None = None,
) -> PaginatedResponse[UnitListOutput]:
- """List all units in a division.
+ """
+ List all units in a division.
Args:
division (int | DivisionInputDict | DivisionInput | DivisionOutput | DivisionListOutput): The division identifier, which can be:
@@ -572,7 +614,8 @@ def list_by_workspace_id(
workspace_id: int,
pagination_options: PaginationOptions[Literal["id", "name"]] | None = None,
) -> PaginatedResponse[UnitListOutput]:
- """List all units in a workspace.
+ """
+ List all units in a workspace.
Args:
workspace_id (int): The workspace ID.
@@ -620,7 +663,8 @@ def list_by_asset_id(
asset_id: int,
pagination_options: PaginationOptions[Literal["id", "name"]] | None = None,
) -> PaginatedResponse[UnitListOutput]:
- """List all units in an asset.
+ """
+ List all units in an asset.
Args:
asset_id (int): The asset ID.
@@ -667,8 +711,12 @@ class Device:
def __init__(self, nortech_api: NortechAPI):
self.nortech_api = nortech_api
- def get(self, device: int | DeviceInputDict | DeviceInput | DeviceOutput | DeviceListOutput) -> DeviceOutput:
- """Get a device by ID or input.
+ def get(
+ self,
+ device: int | DeviceInputDict | DeviceInput | DeviceOutput | DeviceListOutput,
+ ) -> DeviceOutput:
+ """
+ Get a device by ID or input.
Args:
device (int | DeviceInputDict | DeviceInput | DeviceOutput | DeviceListOutput): The device identifier, which can be:
@@ -733,7 +781,8 @@ def list(
division: int | DivisionInputDict | DivisionInput | DivisionOutput | DivisionListOutput,
pagination_options: PaginationOptions[Literal["id", "name", "type", "onboarded"]] | None = None,
) -> PaginatedResponse[DeviceListOutput]:
- """List all devices in a division.
+ """
+ List all devices in a division.
Args:
division (int | DivisionInputDict | DivisionInput | DivisionOutput | DivisionListOutput): The division identifier, which can be:
@@ -799,7 +848,8 @@ def list_by_workspace_id(
workspace_id: int,
pagination_options: PaginationOptions[Literal["id", "name", "type", "onboarded"]] | None = None,
) -> PaginatedResponse[DeviceListOutput]:
- """List all devices in a workspace.
+ """
+ List all devices in a workspace.
Args:
workspace_id (int): The workspace ID.
@@ -851,7 +901,8 @@ def list_by_asset_id(
asset_id: int,
pagination_options: PaginationOptions[Literal["id", "name", "type", "onboarded"]] | None = None,
) -> PaginatedResponse[DeviceListOutput]:
- """List all devices in an asset.
+ """
+ List all devices in an asset.
Args:
asset_id (int): The asset ID.
@@ -913,7 +964,8 @@ def get(
| SignalDeviceInputDict
| SignalDeviceInput,
) -> SignalOutput:
- """Get a signal by ID or input.
+ """
+ Get a signal by ID or input.
Args:
signal (int | SignalInputDict | SignalInput | SignalOutput | SignalListOutput | SignalDeviceInputDict | SignalDeviceInput): The signal identifier, which can be:
@@ -1024,11 +1076,19 @@ def list(
self,
unit_or_device: int | UnitInputDict | UnitInput | UnitOutput | DeviceInputDict | DeviceInput | DeviceOutput,
pagination_options: PaginationOptions[
- Literal["id", "name", "physical_unit", "data_type", "description", "long_description"]
+ Literal[
+ "id",
+ "name",
+ "physical_unit",
+ "data_type",
+ "description",
+ "long_description",
+ ]
]
| None = None,
) -> PaginatedResponse[SignalListOutput]:
- """List all signals in a unit or device.
+ """
+ List all signals in a unit or device.
Args:
unit_or_device (int | UnitInputDict | UnitInput | UnitOutput | DeviceInputDict | DeviceInput | DeviceOutput): The unit or device identifier, which can be:
@@ -1124,11 +1184,19 @@ def list_by_workspace_id(
self,
workspace_id: int,
pagination_options: PaginationOptions[
- Literal["id", "name", "physical_unit", "data_type", "description", "long_description"]
+ Literal[
+ "id",
+ "name",
+ "physical_unit",
+ "data_type",
+ "description",
+ "long_description",
+ ]
]
| None = None,
) -> PaginatedResponse[SignalListOutput]:
- """List all signals in a workspace.
+ """
+ List all signals in a workspace.
Args:
workspace_id (int): The workspace ID.
@@ -1183,11 +1251,19 @@ def list_by_asset_id(
self,
asset_id: int,
pagination_options: PaginationOptions[
- Literal["id", "name", "physical_unit", "data_type", "description", "long_description"]
+ Literal[
+ "id",
+ "name",
+ "physical_unit",
+ "data_type",
+ "description",
+ "long_description",
+ ]
]
| None = None,
) -> PaginatedResponse[SignalListOutput]:
- """List all signals in an asset.
+ """
+ List all signals in an asset.
Args:
asset_id (int): The asset ID.
@@ -1243,11 +1319,19 @@ def list_by_division_id(
self,
division_id: int,
pagination_options: PaginationOptions[
- Literal["id", "name", "physical_unit", "data_type", "description", "long_description"]
+ Literal[
+ "id",
+ "name",
+ "physical_unit",
+ "data_type",
+ "description",
+ "long_description",
+ ]
]
| None = None,
) -> PaginatedResponse[SignalListOutput]:
- """List all signals in a division.
+ """
+ List all signals in a division.
Args:
division_id (int): The division ID.
diff --git a/nortech/metadata/services/asset.py b/nortech/metadata/services/asset.py
index 800ef26..687a500 100644
--- a/nortech/metadata/services/asset.py
+++ b/nortech/metadata/services/asset.py
@@ -13,7 +13,10 @@
AssetOutput,
parse_asset_input,
)
-from nortech.metadata.values.pagination import PaginatedResponse, PaginationOptions
+from nortech.metadata.values.pagination import (
+ PaginatedResponse,
+ PaginationOptions,
+)
from nortech.metadata.values.workspace import (
WorkspaceInput,
WorkspaceInputDict,
@@ -53,7 +56,8 @@ def list_workspace_assets(
def get_workspace_asset(
- nortech_api: NortechAPI, asset: int | AssetInputDict | AssetInput | AssetOutput | AssetListOutput
+ nortech_api: NortechAPI,
+ asset: int | AssetInputDict | AssetInput | AssetOutput | AssetListOutput,
):
if isinstance(asset, int):
return get_asset(nortech_api, asset)
diff --git a/nortech/metadata/services/device.py b/nortech/metadata/services/device.py
index 812e7b8..9d8019c 100644
--- a/nortech/metadata/services/device.py
+++ b/nortech/metadata/services/device.py
@@ -20,7 +20,10 @@
DeviceOutput,
parse_device_input,
)
-from nortech.metadata.values.pagination import PaginatedResponse, PaginationOptions
+from nortech.metadata.values.pagination import (
+ PaginatedResponse,
+ PaginationOptions,
+)
def list_workspace_asset_division_devices(
@@ -58,7 +61,8 @@ def list_workspace_asset_division_devices(
def get_workspace_asset_division_device(
- nortech_api: NortechAPI, device: int | DeviceInputDict | DeviceInput | DeviceOutput | DeviceListOutput
+ nortech_api: NortechAPI,
+ device: int | DeviceInputDict | DeviceInput | DeviceOutput | DeviceListOutput,
):
if isinstance(device, int):
return get_device(nortech_api, device)
diff --git a/nortech/metadata/services/division.py b/nortech/metadata/services/division.py
index fafb108..6c1c3f4 100644
--- a/nortech/metadata/services/division.py
+++ b/nortech/metadata/services/division.py
@@ -6,7 +6,13 @@
NortechAPI,
validate_response,
)
-from nortech.metadata.values.asset import AssetInput, AssetInputDict, AssetListOutput, AssetOutput, parse_asset_input
+from nortech.metadata.values.asset import (
+ AssetInput,
+ AssetInputDict,
+ AssetListOutput,
+ AssetOutput,
+ parse_asset_input,
+)
from nortech.metadata.values.division import (
DivisionInput,
DivisionInputDict,
@@ -14,7 +20,10 @@
DivisionOutput,
parse_division_input,
)
-from nortech.metadata.values.pagination import PaginatedResponse, PaginationOptions
+from nortech.metadata.values.pagination import (
+ PaginatedResponse,
+ PaginationOptions,
+)
def list_workspace_asset_divisions(
@@ -52,7 +61,8 @@ def list_workspace_asset_divisions(
def get_workspace_asset_division(
- nortech_api: NortechAPI, division: int | DivisionInputDict | DivisionInput | DivisionOutput | DivisionListOutput
+ nortech_api: NortechAPI,
+ division: int | DivisionInputDict | DivisionInput | DivisionOutput | DivisionListOutput,
):
if isinstance(division, int):
return get_division(nortech_api, division)
diff --git a/nortech/metadata/services/logger.py b/nortech/metadata/services/logger.py
deleted file mode 100644
index c689472..0000000
--- a/nortech/metadata/services/logger.py
+++ /dev/null
@@ -1,5 +0,0 @@
-import os
-from logging import basicConfig, getLogger
-
-basicConfig(level=os.environ.get("LOG_LEVEL", "DEBUG"))
-logger = getLogger()
diff --git a/nortech/metadata/services/signal.py b/nortech/metadata/services/signal.py
index ceaca09..e4a5ba6 100644
--- a/nortech/metadata/services/signal.py
+++ b/nortech/metadata/services/signal.py
@@ -13,8 +13,17 @@
DeviceOutput,
parse_device_input,
)
-from nortech.metadata.services.unit import UnitInput, UnitInputDict, UnitListOutput, UnitOutput, parse_unit_input
-from nortech.metadata.values.pagination import PaginatedResponse, PaginationOptions
+from nortech.metadata.services.unit import (
+ UnitInput,
+ UnitInputDict,
+ UnitListOutput,
+ UnitOutput,
+ parse_unit_input,
+)
+from nortech.metadata.values.pagination import (
+ PaginatedResponse,
+ PaginationOptions,
+)
from nortech.metadata.values.signal import (
SignalDeviceInput,
SignalDeviceInputDict,
@@ -31,7 +40,14 @@ def list_workspace_asset_division_unit_signals(
nortech_api: NortechAPI,
unit: int | UnitInputDict | UnitInput | UnitOutput | UnitListOutput,
pagination_options: PaginationOptions[
- Literal["id", "name", "physical_unit", "data_type", "description", "long_description"]
+ Literal[
+ "id",
+ "name",
+ "physical_unit",
+ "data_type",
+ "description",
+ "long_description",
+ ]
]
| None = None,
):
@@ -65,7 +81,8 @@ def list_workspace_asset_division_unit_signals(
def get_workspace_asset_division_unit_signal(
- nortech_api: NortechAPI, signal: int | SignalInputDict | SignalInput | SignalOutput | SignalListOutput
+ nortech_api: NortechAPI,
+ signal: int | SignalInputDict | SignalInput | SignalOutput | SignalListOutput,
):
if isinstance(signal, int):
return get_signal(nortech_api, signal)
@@ -84,7 +101,14 @@ def list_workspace_asset_division_device_signals(
nortech_api: NortechAPI,
device: DeviceInputDict | DeviceInput | DeviceOutput | DeviceListOutput,
pagination_options: PaginationOptions[
- Literal["id", "name", "physical_unit", "data_type", "description", "long_description"]
+ Literal[
+ "id",
+ "name",
+ "physical_unit",
+ "data_type",
+ "description",
+ "long_description",
+ ]
]
| None = None,
):
@@ -116,7 +140,8 @@ def list_workspace_asset_division_device_signals(
def get_workspace_asset_division_device_signal(
- nortech_api: NortechAPI, signal: SignalDeviceInputDict | SignalDeviceInput | SignalOutput | SignalListOutput
+ nortech_api: NortechAPI,
+ signal: SignalDeviceInputDict | SignalDeviceInput | SignalOutput | SignalListOutput,
):
if isinstance(signal, SignalListOutput):
return get_signal(nortech_api, signal.id)
@@ -133,7 +158,14 @@ def list_workspace_signals(
nortech_api: NortechAPI,
workspace_id: int,
pagination_options: PaginationOptions[
- Literal["id", "name", "physical_unit", "data_type", "description", "long_description"]
+ Literal[
+ "id",
+ "name",
+ "physical_unit",
+ "data_type",
+ "description",
+ "long_description",
+ ]
]
| None = None,
):
@@ -164,7 +196,14 @@ def list_asset_signals(
nortech_api: NortechAPI,
asset_id: int,
pagination_options: PaginationOptions[
- Literal["id", "name", "physical_unit", "data_type", "description", "long_description"]
+ Literal[
+ "id",
+ "name",
+ "physical_unit",
+ "data_type",
+ "description",
+ "long_description",
+ ]
]
| None = None,
):
@@ -195,7 +234,14 @@ def list_division_signals(
nortech_api: NortechAPI,
division_id: int,
pagination_options: PaginationOptions[
- Literal["id", "name", "physical_unit", "data_type", "description", "long_description"]
+ Literal[
+ "id",
+ "name",
+ "physical_unit",
+ "data_type",
+ "description",
+ "long_description",
+ ]
]
| None = None,
):
@@ -226,7 +272,14 @@ def list_unit_signals(
nortech_api: NortechAPI,
unit_id: int,
pagination_options: PaginationOptions[
- Literal["id", "name", "physical_unit", "data_type", "description", "long_description"]
+ Literal[
+ "id",
+ "name",
+ "physical_unit",
+ "data_type",
+ "description",
+ "long_description",
+ ]
]
| None = None,
):
@@ -257,7 +310,14 @@ def list_device_signals(
nortech_api: NortechAPI,
device_id: int,
pagination_options: PaginationOptions[
- Literal["id", "name", "physical_unit", "data_type", "description", "long_description"]
+ Literal[
+ "id",
+ "name",
+ "physical_unit",
+ "data_type",
+ "description",
+ "long_description",
+ ]
]
| None = None,
):
@@ -292,8 +352,13 @@ def get_signal(nortech_api: NortechAPI, signal_id: int):
return SignalOutput.model_validate(response.json())
-def _get_signals(nortech_api: NortechAPI, signals: Sequence[SignalInput | SignalInputDict | SignalListOutput | int]):
- def signal_to_api_input(signal: SignalInput | SignalInputDict | SignalListOutput | int):
+def _get_signals(
+ nortech_api: NortechAPI,
+ signals: Sequence[SignalInput | SignalInputDict | SignalListOutput | int],
+):
+ def signal_to_api_input(
+ signal: SignalInput | SignalInputDict | SignalListOutput | int,
+ ):
if isinstance(signal, SignalListOutput):
return signal.id
elif isinstance(signal, SignalInput):
@@ -310,7 +375,8 @@ def signal_to_api_input(signal: SignalInput | SignalInputDict | SignalListOutput
def parse_signal_input_or_output_or_id_union_to_signal_input(
- nortech_api: NortechAPI, signals: Sequence[SignalInput | SignalInputDict | SignalOutput | SignalListOutput | int]
+ nortech_api: NortechAPI,
+ signals: Sequence[SignalInput | SignalInputDict | SignalOutput | SignalListOutput | int],
):
signal_ids: List[int] = [
signal.id if isinstance(signal, SignalListOutput) else signal
diff --git a/nortech/metadata/services/unit.py b/nortech/metadata/services/unit.py
index e62c984..c673515 100644
--- a/nortech/metadata/services/unit.py
+++ b/nortech/metadata/services/unit.py
@@ -13,7 +13,10 @@
DivisionOutput,
parse_division_input,
)
-from nortech.metadata.values.pagination import PaginatedResponse, PaginationOptions
+from nortech.metadata.values.pagination import (
+ PaginatedResponse,
+ PaginationOptions,
+)
from nortech.metadata.values.unit import (
UnitInput,
UnitInputDict,
@@ -58,7 +61,8 @@ def list_workspace_asset_division_units(
def get_workspace_asset_division_unit(
- nortech_api: NortechAPI, unit: int | UnitInputDict | UnitInput | UnitOutput | UnitListOutput
+ nortech_api: NortechAPI,
+ unit: int | UnitInputDict | UnitInput | UnitOutput | UnitListOutput,
):
if isinstance(unit, int):
return get_unit(nortech_api, unit)
diff --git a/nortech/metadata/services/workspace.py b/nortech/metadata/services/workspace.py
index 9d7690a..add74e6 100644
--- a/nortech/metadata/services/workspace.py
+++ b/nortech/metadata/services/workspace.py
@@ -6,7 +6,10 @@
NortechAPI,
validate_response,
)
-from nortech.metadata.values.pagination import PaginatedResponse, PaginationOptions
+from nortech.metadata.values.pagination import (
+ PaginatedResponse,
+ PaginationOptions,
+)
from nortech.metadata.values.workspace import (
WorkspaceInput,
WorkspaceInputDict,
diff --git a/nortech/metadata/values/__init__.py b/nortech/metadata/values/__init__.py
index f0ac71b..b17739e 100644
--- a/nortech/metadata/values/__init__.py
+++ b/nortech/metadata/values/__init__.py
@@ -1,8 +1,27 @@
-from nortech.metadata.values.asset import AssetInput, AssetInputDict, AssetListOutput, AssetOutput
+from nortech.metadata.values.asset import (
+ AssetInput,
+ AssetInputDict,
+ AssetListOutput,
+ AssetOutput,
+)
from nortech.metadata.values.common import MetadataOutput
-from nortech.metadata.values.device import DeviceInput, DeviceInputDict, DeviceListOutput, DeviceOutput
-from nortech.metadata.values.division import DivisionInput, DivisionInputDict, DivisionListOutput, DivisionOutput
-from nortech.metadata.values.pagination import NextRef, PaginatedResponse, PaginationOptions
+from nortech.metadata.values.device import (
+ DeviceInput,
+ DeviceInputDict,
+ DeviceListOutput,
+ DeviceOutput,
+)
+from nortech.metadata.values.division import (
+ DivisionInput,
+ DivisionInputDict,
+ DivisionListOutput,
+ DivisionOutput,
+)
+from nortech.metadata.values.pagination import (
+ NextRef,
+ PaginatedResponse,
+ PaginationOptions,
+)
from nortech.metadata.values.signal import (
SignalDeviceInput,
SignalDeviceInputDict,
@@ -12,8 +31,18 @@
SignalOutput,
)
from nortech.metadata.values.time_window import TimeWindow
-from nortech.metadata.values.unit import UnitInput, UnitInputDict, UnitListOutput, UnitOutput
-from nortech.metadata.values.workspace import WorkspaceInput, WorkspaceInputDict, WorkspaceListOutput, WorkspaceOutput
+from nortech.metadata.values.unit import (
+ UnitInput,
+ UnitInputDict,
+ UnitListOutput,
+ UnitOutput,
+)
+from nortech.metadata.values.workspace import (
+ WorkspaceInput,
+ WorkspaceInputDict,
+ WorkspaceListOutput,
+ WorkspaceOutput,
+)
__all__ = [
"AssetInput",
diff --git a/nortech/metadata/values/asset.py b/nortech/metadata/values/asset.py
index 91ef841..44b2720 100644
--- a/nortech/metadata/values/asset.py
+++ b/nortech/metadata/values/asset.py
@@ -7,7 +7,8 @@
class AssetInputDict(WorkspaceInputDict):
- """Dictionary representation of Asset input data.
+ """
+ Dictionary representation of Asset input data.
Attributes:
workspace (str): The name of the Workspace.
@@ -19,7 +20,8 @@ class AssetInputDict(WorkspaceInputDict):
class AssetInput(WorkspaceInput):
- """Pydantic model for asset input data.
+ """
+ Pydantic model for asset input data.
Attributes:
workspace (str): The name of the Workspace.
@@ -38,7 +40,8 @@ def parse_asset_input(asset_input: AssetInput | AssetInputDict): # noqa: D103
class AssetListOutput(MetadataOutput):
- """Output model for asset list entries.
+ """
+ Output model for asset list entries.
Attributes:
id (int): Id of the Asset.
@@ -51,7 +54,8 @@ class AssetListOutput(MetadataOutput):
class AssetOutput(AssetListOutput, MetadataTimestamps):
- """Detailed output model for a single asset.
+ """
+ Detailed output model for a single asset.
Attributes:
id (int): Id of the Asset.
diff --git a/nortech/metadata/values/device.py b/nortech/metadata/values/device.py
index 52a5d92..19ee831 100644
--- a/nortech/metadata/values/device.py
+++ b/nortech/metadata/values/device.py
@@ -2,16 +2,14 @@
from __future__ import annotations
-from nortech.metadata.values.division import (
- DivisionInput,
- DivisionInputDict,
-)
+from nortech.metadata.values.division import DivisionInput, DivisionInputDict
from .common import MetadataOutput, MetadataTimestamps
class DeviceInputDict(DivisionInputDict):
- """Dictionary representation of Device input data.
+ """
+ Dictionary representation of Device input data.
Attributes:
workspace (str): The name of the Workspace.
@@ -25,7 +23,8 @@ class DeviceInputDict(DivisionInputDict):
class DeviceInput(DivisionInput):
- """Pydantic model for Device input data.
+ """
+ Pydantic model for Device input data.
Attributes:
workspace (str): The name of the Workspace.
@@ -46,7 +45,8 @@ def parse_device_input(device_input: DeviceInput | DeviceInputDict): # noqa: D1
class DeviceListOutput(MetadataOutput):
- """Output model for device list entries.
+ """
+ Output model for device list entries.
Attributes:
id (int): Id of the Device.
@@ -61,7 +61,8 @@ class DeviceListOutput(MetadataOutput):
class DeviceOutput(DeviceListOutput, MetadataTimestamps):
- """Detailed output model for a single device.
+ """
+ Detailed output model for a single device.
Attributes:
id (int): Id of the Device.
diff --git a/nortech/metadata/values/division.py b/nortech/metadata/values/division.py
index 950d517..6d0a2e7 100644
--- a/nortech/metadata/values/division.py
+++ b/nortech/metadata/values/division.py
@@ -8,7 +8,8 @@
class DivisionInputDict(AssetInputDict):
- """Dictionary representation of Division input data.
+ """
+ Dictionary representation of Division input data.
Attributes:
workspace (str): The name of the Workspace.
@@ -21,7 +22,8 @@ class DivisionInputDict(AssetInputDict):
class DivisionInput(AssetInput):
- """Pydantic model for Division input data.
+ """
+ Pydantic model for Division input data.
Attributes:
workspace (str): The name of the Workspace.
@@ -41,7 +43,8 @@ def parse_division_input(division_input: DivisionInput | DivisionInputDict): #
class DivisionListOutput(MetadataOutput):
- """Output model for division list entries.
+ """
+ Output model for division list entries.
Attributes:
id (int): Id of the Division.
@@ -54,7 +57,8 @@ class DivisionListOutput(MetadataOutput):
class DivisionOutput(DivisionListOutput, MetadataTimestamps):
- """Detailed output model for a single division.
+ """
+ Detailed output model for a single division.
Attributes:
id (int): Id of the Division.
diff --git a/nortech/metadata/values/pagination.py b/nortech/metadata/values/pagination.py
index fbb03aa..06c70b4 100644
--- a/nortech/metadata/values/pagination.py
+++ b/nortech/metadata/values/pagination.py
@@ -8,7 +8,8 @@
class PaginationOptions(BaseModel, Generic[SortBy]):
- """Pagination options for list endpoints.
+ """
+ Pagination options for list endpoints.
Attributes:
size (int | None, default=100, le=100): The number of items to return.
@@ -34,7 +35,8 @@ class NextRef(BaseModel):
class PaginatedResponse(BaseModel, Generic[Resp]):
- """Paginated response from list endpoints.
+ """
+ Paginated response from list endpoints.
Attributes:
size (int): The number of items returned.
diff --git a/nortech/metadata/values/signal.py b/nortech/metadata/values/signal.py
index 2a9a218..5be8766 100644
--- a/nortech/metadata/values/signal.py
+++ b/nortech/metadata/values/signal.py
@@ -3,7 +3,7 @@
from __future__ import annotations
import hashlib
-from typing import Literal
+from typing import Literal, Optional
from pydantic import BaseModel, ConfigDict, Field
@@ -14,7 +14,8 @@
class SignalInputDict(UnitInputDict):
- """Dictionary representation of Signal input data.
+ """
+ Dictionary representation of Signal input data.
Attributes:
workspace (str): The name of the Workspace.
@@ -29,7 +30,8 @@ class SignalInputDict(UnitInputDict):
class SignalInput(UnitInput):
- """Pydantic model for Signal input data.
+ """
+ Pydantic model for Signal input data.
Attributes:
workspace (str): The name of the Workspace.
@@ -64,7 +66,8 @@ def parse_signal_input(signal_input: SignalInput | SignalInputDict) -> SignalInp
class SignalDeviceInputDict(DeviceInputDict):
- """Dictionary representation of SignalDevice input data.
+ """
+ Dictionary representation of SignalDevice input data.
Attributes:
workspace (str): The name of the Workspace.
@@ -79,7 +82,8 @@ class SignalDeviceInputDict(DeviceInputDict):
class SignalDeviceInput(DeviceInput):
- """Pydantic model for SignalDevice input data.
+ """
+ Pydantic model for SignalDevice input data.
Attributes:
workspace (str): The name of the Workspace.
@@ -101,8 +105,18 @@ def parse_signal_device_input( # noqa: D103
return SignalDeviceInput.model_validate(signal_device_input)
-class SignalListOutput(BaseModel):
- """Output model for signal list entries.
+class SignalSpecs(BaseModel):
+ model_config = ConfigDict(populate_by_name=True)
+
+ physical_unit: Optional[str] = Field(alias="physicalUnit", default=None)
+ description: Optional[str] = Field(default=None)
+ long_description: Optional[str] = Field(alias="longDescription", default=None)
+ data_type: Literal["float", "boolean", "string", "json"] = Field(alias="dataType", default="float")
+
+
+class SignalListOutput(SignalSpecs):
+ """
+ Output model for signal list entries.
Attributes:
id (int): Id of the Signal.
@@ -118,14 +132,27 @@ class SignalListOutput(BaseModel):
id: int
name: str
- physical_unit: str = Field(alias="physicalUnit")
- data_type: Literal["float", "boolean", "string", "json"] = Field(alias="dataType")
- description: str
- long_description: str = Field(alias="longDescription")
-class SignalOutput(SignalListOutput, MetadataTimestamps):
- """Detailed output model for a single signal.
+class SignalOutputNoDevice(SignalListOutput, MetadataTimestamps):
+ workspace: MetadataOutput
+ asset: MetadataOutput
+ division: MetadataOutput
+ unit: MetadataOutput
+
+ def to_signal_input(self) -> SignalInput:
+ return SignalInput(
+ workspace=self.workspace.name,
+ asset=self.asset.name,
+ division=self.division.name,
+ unit=self.unit.name,
+ signal=self.name,
+ )
+
+
+class SignalOutput(SignalOutputNoDevice):
+ """
+ Detailed output model for a single signal.
Attributes:
id (int): Id of the Signal.
@@ -150,17 +177,8 @@ class SignalOutput(SignalListOutput, MetadataTimestamps):
"""
- workspace: MetadataOutput
- asset: MetadataOutput
- division: MetadataOutput
- unit: MetadataOutput
device: MetadataOutput
- def to_signal_input(self) -> SignalInput: # noqa: D102
- return SignalInput(
- workspace=self.workspace.name,
- asset=self.asset.name,
- division=self.division.name,
- unit=self.unit.name,
- signal=self.name,
- )
+
+class CreateSignalInput(SignalInput, SignalSpecs):
+ group_key: Optional[str] = Field(alias="groupKey", default=None)
diff --git a/nortech/metadata/values/time_window.py b/nortech/metadata/values/time_window.py
index 07762f7..ae6c7e6 100644
--- a/nortech/metadata/values/time_window.py
+++ b/nortech/metadata/values/time_window.py
@@ -17,7 +17,8 @@ def __init__(self, message="Start timezone must be the same as end timezone"):
class TimeWindow(BaseModel):
- """Time window model.
+ """
+ Time window model.
Attributes:
start (datetime): Start time.
diff --git a/nortech/metadata/values/unit.py b/nortech/metadata/values/unit.py
index e4a44be..9dc21ba 100644
--- a/nortech/metadata/values/unit.py
+++ b/nortech/metadata/values/unit.py
@@ -4,16 +4,14 @@
from pydantic import BaseModel
-from nortech.metadata.values.division import (
- DivisionInput,
- DivisionInputDict,
-)
+from nortech.metadata.values.division import DivisionInput, DivisionInputDict
from .common import MetadataOutput, MetadataTimestamps
class UnitInputDict(DivisionInputDict):
- """Dictionary representation of Unit input data.
+ """
+ Dictionary representation of Unit input data.
Attributes:
workspace (str): The name of the Workspace.
@@ -27,7 +25,8 @@ class UnitInputDict(DivisionInputDict):
class UnitInput(DivisionInput):
- """Pydantic model for Unit input data.
+ """
+ Pydantic model for Unit input data.
Attributes:
workspace (str): The name of the Workspace.
@@ -48,7 +47,8 @@ def parse_unit_input(unit_input: UnitInput | UnitInputDict): # noqa: D103
class UnitListOutput(BaseModel):
- """Output model for unit list entries.
+ """
+ Output model for unit list entries.
Attributes:
id (int): Id of the Unit.
@@ -61,7 +61,8 @@ class UnitListOutput(BaseModel):
class UnitDivision(BaseModel):
- """Output model for unit division entries.
+ """
+ Output model for unit division entries.
Attributes:
id (int): Id of the Division.
@@ -74,7 +75,8 @@ class UnitDivision(BaseModel):
class UnitOutput(UnitListOutput, MetadataTimestamps):
- """Detailed output model for a single unit.
+ """
+ Detailed output model for a single unit.
Attributes:
id (int): Id of the Unit.
diff --git a/nortech/metadata/values/workspace.py b/nortech/metadata/values/workspace.py
index b31f2c6..9075bd2 100644
--- a/nortech/metadata/values/workspace.py
+++ b/nortech/metadata/values/workspace.py
@@ -9,7 +9,8 @@
class WorkspaceInputDict(TypedDict):
- """Dictionary representation of Workspace input data.
+ """
+ Dictionary representation of Workspace input data.
Attributes:
workspace (str): The name of the Workspace.
@@ -20,7 +21,8 @@ class WorkspaceInputDict(TypedDict):
class WorkspaceInput(BaseModel):
- """Pydantic model for Workspace input data.
+ """
+ Pydantic model for Workspace input data.
Attributes:
workspace (str): The name of the Workspace.
@@ -45,7 +47,8 @@ def parse_workspace_input( # noqa: D103
class WorkspaceListOutput(MetadataOutput):
- """Output model for workspace list entries.
+ """
+ Output model for workspace list entries.
Attributes:
id (int): Id of the Workspace.
@@ -58,7 +61,8 @@ class WorkspaceListOutput(MetadataOutput):
class WorkspaceOutput(WorkspaceListOutput, MetadataTimestamps):
- """Detailed output model for a single workspace.
+ """
+ Detailed output model for a single workspace.
Attributes:
id (int): Id of the Workspace.
diff --git a/pyproject.toml b/pyproject.toml
index 2858462..313f7bf 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,15 +1,10 @@
[project]
name = "nortech"
-version = "0.9.4"
-description = "The official Python library for Nortech AI"
-authors = [
- { name = "Nortech AI", email = "info@nortech.ai" }
-]
-license = "Apache-2.0"
-homepage = "https://nortech.ai/"
-repository = "https://github.com/Nortech-ai/nortech-python"
+version = "0.10.0"
+description = "Nortech Python SDK"
readme = "README.md"
requires-python = ">=3.9"
+
dependencies = [
"bytewax>=0.21.0",
"eval-type-backport>=0.2.0",
@@ -22,17 +17,11 @@ dependencies = [
"pydantic-settings>=2.5.2",
"python-dotenv>=1.0.1",
"requests>=2.32.3",
+ "structlog>=25.4.0",
"tzlocal>=5.2",
"urllib3<2.0",
]
-[build-system]
-requires = ["hatchling"]
-build-backend = "hatchling.build"
-
-[tool.hatch.build.targets.wheel]
-packages = ["nortech"]
-
[tool.uv]
dev-dependencies = [
"ipykernel>=6.29.5",
@@ -78,6 +67,8 @@ ignore = [
"D105", # Missing docstring in magic method
"D106", # Missing docstring in public nested class
"D107", # Missing docstring in __init__
+ "D203", # Incorrect black line before class
+ "D212", # Multi line summary first line
"E501", # Line too long
"PD901", # Using the generic variable name `df` for DataFrames
"S101" # Use of `assert` detected
diff --git a/tests/integration/derivers/snapshots/test_deriver/test_visualize_deriver/markdown_obj.txt b/tests/integration/derivers/snapshots/test_deriver/test_visualize_deriver/markdown_obj.txt
deleted file mode 100644
index bdc2490..0000000
--- a/tests/integration/derivers/snapshots/test_deriver/test_visualize_deriver/markdown_obj.txt
+++ /dev/null
@@ -1,19 +0,0 @@
-
-```mermaid
-flowchart LR
- subgraph "Deriver (Test Deriver)"
-
- subgraph "DeriverSchema (Test Schema with suggested inputs)"
-
- 91ea505a_input_signal["input_signal
[K]"] --> transform_stream_91ea505a["transform_stream"]
-
- transform_stream_91ea505a --> 91ea505a_output_signal["output_signal
[K]"]
-
- end
-
- 847cb464_Signal["Signal
[°C]"] --> 91ea505a_input_signal
-
- 91ea505a_output_signal --> 847cb464_output_signal["output_signal
[°C]"]
-
-end
-```
diff --git a/tests/integration/derivers/snapshots/test_deriver/test_visualize_deriver_schema/markdown_obj.txt b/tests/integration/derivers/snapshots/test_deriver/test_visualize_deriver_schema/markdown_obj.txt
deleted file mode 100644
index f807362..0000000
--- a/tests/integration/derivers/snapshots/test_deriver/test_visualize_deriver_schema/markdown_obj.txt
+++ /dev/null
@@ -1,23 +0,0 @@
-
-```mermaid
-flowchart LR
-
- subgraph "DeriverSchema (Test Schema)"
-
- 4a9b921b_input_signal["input_signal
[K]"] --> transform_stream_4a9b921b["transform_stream"]
-
- transform_stream_4a9b921b --> 4a9b921b_output_signal["output_signal
[K]"]
-
- end
-
- 4a9b921b_output_signal -.->|suggestedInput| 91ea505a_input_signal
-
- subgraph "DeriverSchema (Test Schema with suggested inputs)"
-
- 91ea505a_input_signal["input_signal
[K]"] --> transform_stream_91ea505a["transform_stream"]
-
- transform_stream_91ea505a --> 91ea505a_output_signal["output_signal
[K]"]
-
- end
-
-```
diff --git a/tests/integration/derivers/test_deriver.py b/tests/integration/derivers/test_deriver.py
index 2e0a385..a72acb5 100644
--- a/tests/integration/derivers/test_deriver.py
+++ b/tests/integration/derivers/test_deriver.py
@@ -1,292 +1,156 @@
from __future__ import annotations
-from datetime import datetime, timezone
-from unittest.mock import patch
+from datetime import timezone
+import bytewax.operators as op
import pandas as pd
-from pytest import raises
-from requests_mock import Mocker
+import pytest
from nortech import Nortech
from nortech.derivers import (
Deriver,
- DeriverDiffs,
DeriverInput,
+ DeriverInputs,
DeriverOutput,
- physical_units,
- run_deriver_locally,
- visualize_deriver,
- visualize_deriver_schema,
+ DeriverOutputs,
+ run_deriver_locally_with_df,
)
+from nortech.derivers.values.deriver import InvalidDeriverError, validate_deriver
-def create_test_schema():
- import bytewax.operators as op
- from bytewax.dataflow import Stream
- from pydantic import BaseModel
-
- from nortech.derivers import (
- DeriverInputSchema,
- DeriverOutputSchema,
- DeriverSchema,
- InputField,
- OutputField,
- physical_units,
- )
-
- class Input(DeriverInputSchema):
- input_signal: float | None = InputField(
- description="Input signal description",
- physical_quantity=physical_units.temperature,
- )
-
- class Output(DeriverOutputSchema):
- output_signal: float | None = OutputField(
- description="Output signal description",
- physical_quantity=physical_units.temperature,
- create_deriver_schema=create_test_schema,
- )
-
- class Configurations(BaseModel):
+def test_validate_deriver_not_subclass():
+ class NotDeriverSubclass:
pass
- def transform_stream(
- stream: Stream[Input],
- config: Configurations,
- ) -> Stream[Output]:
- output_stream = op.map(
- step_id="map_output",
- up=stream,
- mapper=lambda input_message: Output(
- timestamp=input_message.timestamp,
- output_signal=input_message.input_signal,
- ),
- )
-
- return output_stream
-
- return DeriverSchema(
- name="Test Schema",
- description="Test Schema description",
- inputs=Input,
- outputs=Output,
- configurations=Configurations,
- transform_stream=transform_stream,
- )
-
-
-deriver_schema_without_suggested_inputs = create_test_schema()
-
+ with pytest.raises(InvalidDeriverError) as exc_info:
+ validate_deriver(NotDeriverSubclass)
+ assert str(exc_info.value) == "Deriver must be a subclass of Deriver."
-def create_test_schema_with_suggested_inputs():
- import bytewax.operators as op
- from bytewax.dataflow import Stream
- from pydantic import BaseModel
-
- from nortech.derivers import (
- DeriverInputSchema,
- DeriverOutputSchema,
- DeriverSchema,
- InputField,
- OutputField,
- physical_units,
- )
-
- class Input(DeriverInputSchema):
- input_signal: float | None = InputField(
- description="Input signal description",
- physical_quantity=physical_units.temperature,
- suggested_inputs=[deriver_schema_without_suggested_inputs.outputs.output_signal],
- )
-
- class Output(DeriverOutputSchema):
- output_signal: float | None = OutputField(
- description="Output signal description",
- physical_quantity=physical_units.temperature,
- create_deriver_schema=create_test_schema_with_suggested_inputs,
- )
- class Configurations(BaseModel):
+def test_validate_deriver_no_inputs():
+ class NoInputsDeriver(Deriver):
pass
- def transform_stream(
- stream: Stream[Input],
- config: Configurations,
- ) -> Stream[Output]:
- output_stream = op.map(
- step_id="map_output",
- up=stream,
- mapper=lambda input_message: Output(
- timestamp=input_message.timestamp,
- output_signal=input_message.input_signal,
- ),
- )
+ with pytest.raises(InvalidDeriverError) as exc_info:
+ validate_deriver(NoInputsDeriver)
+ assert str(exc_info.value) == "Deriver must have at least one input."
- return output_stream
-
- return DeriverSchema(
- name="Test Schema with suggested inputs",
- description="Test Schema description with suggested inputs",
- inputs=Input,
- outputs=Output,
- configurations=Configurations,
- transform_stream=transform_stream,
- )
+def test_validate_deriver_no_outputs():
+ class NoOutputsDeriver(Deriver):
+ class Inputs(DeriverInputs):
+ input_signal: float | None = DeriverInput(
+ workspace="Workspace",
+ asset="Asset",
+ division="Division",
+ unit="Unit",
+ signal="Signal",
+ )
-deriver_schema = create_test_schema_with_suggested_inputs()
+ with pytest.raises(InvalidDeriverError) as exc_info:
+ validate_deriver(NoOutputsDeriver)
+ assert str(exc_info.value) == "Deriver must have at least one output."
-inputs = {
- deriver_schema.inputs.input_signal: DeriverInput(
- workspace="Workspace",
- asset="Asset",
- division="Division",
- unit="Unit",
- signal="Signal",
- physicalUnit=physical_units.celsius,
- )
-}
-
-outputs = {
- deriver_schema.outputs.output_signal: DeriverOutput(
- workspace="Workspace",
- asset="Asset",
- division="Division",
- unit="Unit",
- signal="Signal",
- physicalUnit=physical_units.celsius,
- )
-}
-
-configurations = deriver_schema.configurations()
-
-deriver = Deriver(
- name="Test Deriver",
- description="Test Deriver description",
- inputs=inputs,
- outputs=outputs,
- configurations=configurations,
- start_at=datetime(2022, 1, 1, 0, 0, 0),
- create_deriver_schema=create_test_schema_with_suggested_inputs,
-)
+def test_validate_deriver_invalid_output_type():
+ class InvalidOutputTypeDeriver(Deriver):
+ class Inputs(DeriverInputs):
+ input_signal: float | None = DeriverInput(
+ workspace="Workspace",
+ asset="Asset",
+ division="Division",
+ unit="Unit",
+ signal="Signal",
+ )
-def test_deriver_schema_fail():
- from nortech.derivers import physical_units
-
- def create_test_schema_with_missing_import():
- import bytewax.operators as op
- from bytewax.dataflow import Stream
- from pydantic import BaseModel
+ class Outputs(DeriverOutputs):
+ output_signal: int | None = DeriverOutput(
+ workspace="Workspace",
+ asset="Asset",
+ division="Division",
+ unit="Unit",
+ signal="Signal",
+ )
- from nortech.derivers.values.schema import (
- DeriverInputSchema,
- DeriverOutputSchema,
- DeriverSchema,
- InputField,
- OutputField,
- )
+ with pytest.raises(InvalidDeriverError) as exc_info:
+ validate_deriver(InvalidOutputTypeDeriver)
+ assert (
+ str(exc_info.value)
+ == "Deriver output 'output_signal' has type 'int', which is not allowed. Allowed types: float, str, bool, dict, list."
+ )
- class Input(DeriverInputSchema):
- input_signal: float | None = InputField(
- description="Input signal description",
- physical_quantity=physical_units.temperature,
- )
- class Output(DeriverOutputSchema):
- output_signal: float | None = OutputField(
- description="Output signal description",
- physical_quantity=physical_units.temperature,
- create_deriver_schema=create_test_schema,
+def test_validate_deriver_no_run_method():
+ class NoRunMethodDeriver(Deriver):
+ class Inputs(DeriverInputs):
+ input_signal: float | None = DeriverInput(
+ workspace="Workspace",
+ asset="Asset",
+ division="Division",
+ unit="Unit",
+ signal="Signal",
)
- class Configurations(BaseModel):
- pass
-
- def transform_stream(
- stream: Stream[Input],
- config: Configurations,
- ) -> Stream[Output]:
- output_stream = op.map(
- step_id="map_output",
- up=stream,
- mapper=lambda input_message: Output(
- timestamp=input_message.timestamp,
- output_signal=input_message.input_signal,
- ),
+ class Outputs(DeriverOutputs):
+ output_signal: float | None = DeriverOutput(
+ workspace="Workspace",
+ asset="Asset",
+ division="Division",
+ unit="Unit",
+ signal="Signal",
)
- return output_stream
+ with pytest.raises(InvalidDeriverError) as exc_info:
+ validate_deriver(NoRunMethodDeriver)
+ assert str(exc_info.value) == "Deriver must implement the run method."
- return DeriverSchema(
- name="Test Schema",
- description="Test Schema description",
- inputs=Input,
- outputs=Output,
- configurations=Configurations,
- transform_stream=transform_stream,
- )
- deriver_schema = create_test_schema()
-
- inputs = {
- deriver_schema.inputs.input_signal: DeriverInput(
+class TestDeriver(Deriver):
+ class Inputs(DeriverInputs):
+ input_signal: float | None = DeriverInput(
workspace="Workspace",
asset="Asset",
division="Division",
unit="Unit",
signal="Signal",
- physicalUnit=physical_units.celsius,
)
- }
- outputs = {
- deriver_schema.outputs.output_signal: DeriverOutput(
+ class Outputs(DeriverOutputs):
+ output_signal: float | None = DeriverOutput(
workspace="Workspace",
asset="Asset",
division="Division",
unit="Unit",
signal="Signal",
- physicalUnit=physical_units.celsius,
- )
- }
-
- configurations = deriver_schema.configurations()
-
- with raises(NameError):
- Deriver(
- name="Test Deriver",
- description="Test Deriver description",
- inputs=inputs,
- outputs=outputs,
- configurations=configurations,
- start_at=datetime(2022, 1, 1, 0, 0, 0),
- create_deriver_schema=create_test_schema_with_missing_import,
+ description="Output signal",
+ long_description="Output signal long description",
+ physical_unit="m/s",
)
+ def run(
+ self,
+ stream: op.Stream[Inputs],
+ ) -> op.Stream[Outputs]:
+ output_stream = op.map(
+ step_id="map_output",
+ up=stream,
+ mapper=lambda input_message: self.Outputs(
+ timestamp=input_message.timestamp,
+ output_signal=input_message.input_signal,
+ ),
+ )
-def test_deriver_deploy(nortech: Nortech, requests_mock: Mocker):
- mock_response_data = {
- "DeriverSchemas": {},
- "Derivers": {},
- }
-
- requests_mock.post(
- url=nortech.settings.URL + "/api/v1/derivers",
- json=mock_response_data,
- )
+ return output_stream
- deriver_diff = nortech.derivers.deploy_deriver(
- deriver=deriver,
- dry_run=True,
- )
- assert requests_mock.call_count == 1
+def test_validate_deriver():
+ validate_deriver(TestDeriver)
- assert deriver_diff == DeriverDiffs.model_validate(mock_response_data)
+ with pytest.raises(InvalidDeriverError):
+ validate_deriver(int)
-def test_deriver_run_locally():
+def test_deriver_run_locally(nortech: Nortech):
size = 100
df = pd.DataFrame(
{
@@ -295,36 +159,10 @@ def test_deriver_run_locally():
}
).set_index("timestamp")
- output_deriver = run_deriver_locally(df=df, deriver=deriver)
+ output_deriver = run_deriver_locally_with_df(deriver=TestDeriver, df=df)
renamed_df = df.rename(columns={"input_signal": "output_signal"})
print(output_deriver)
print(renamed_df)
assert output_deriver.equals(renamed_df)
-
-
-def test_visualize_deriver(snapshot):
- with patch("nortech.derivers.handlers.deriver.display") as mock_display:
- visualize_deriver(deriver=deriver)
-
- # Verify display was called once
- assert mock_display.call_count == 1
-
- # Get the Markdown object that was passed to display
- markdown_obj = mock_display.call_args[0][0]
-
- snapshot.assert_match(markdown_obj.data, "markdown_obj.txt")
-
-
-def test_visualize_deriver_schema(snapshot):
- with patch("nortech.derivers.handlers.deriver.display") as mock_display:
- visualize_deriver_schema(create_deriver_schema=deriver.create_deriver_schema)
-
- # Verify display was called once
- assert mock_display.call_count == 1
-
- # Get the Markdown object that was passed to display
- markdown_obj = mock_display.call_args[0][0]
-
- snapshot.assert_match(markdown_obj.data, "markdown_obj.txt")
diff --git a/tests/integration/derivers/test_operators.py b/tests/integration/derivers/test_operators.py
index 9a4398e..03e8889 100644
--- a/tests/integration/derivers/test_operators.py
+++ b/tests/integration/derivers/test_operators.py
@@ -7,8 +7,8 @@
from bytewax.dataflow import Dataflow
from bytewax.testing import TestingSink, TestingSource, run_main
-from nortech.derivers import DeriverInputSchema
from nortech.derivers import operators as internal_op
+from nortech.derivers.values.deriver import DeriverInputs
def test_key_all():
@@ -73,12 +73,10 @@ def test_unkey_all():
def test_filter_none():
- class TestInput(DeriverInputSchema):
- timestamp: datetime
+ class TestInput(DeriverInputs):
value: float | None
- class FilteredInput(DeriverInputSchema):
- timestamp: datetime
+ class FilteredInput(DeriverInputs):
value: float
input_messages = [
@@ -112,8 +110,7 @@ class FilteredInput(DeriverInputSchema):
def test_ffill():
- class TestInput(DeriverInputSchema):
- timestamp: datetime
+ class TestInput(DeriverInputs):
value: float | None
input_messages = [
@@ -148,8 +145,7 @@ class TestInput(DeriverInputSchema):
def test_resample():
- class TestInput(DeriverInputSchema):
- timestamp: datetime
+ class TestInput(DeriverInputs):
value: float
input_messages = [
@@ -188,8 +184,7 @@ class TestInput(DeriverInputSchema):
def test_list_to_dataframe():
- class TestInput(DeriverInputSchema):
- timestamp: datetime
+ class TestInput(DeriverInputs):
value: float
test_data = [
diff --git a/tests/unit/derivers/test_deriver_diffs.py b/tests/unit/derivers/test_deriver_diffs.py
deleted file mode 100644
index 157c716..0000000
--- a/tests/unit/derivers/test_deriver_diffs.py
+++ /dev/null
@@ -1,32 +0,0 @@
-from datetime import datetime
-
-from nortech.derivers import DeriverDiffs
-
-
-def test_deriver_diffs():
- test_schema = {
- "id": 123,
- "hash": "abc123",
- "historyId": 456,
- "createdAt": datetime(2023, 1, 1),
- "updatedAt": datetime(2023, 1, 2),
- }
- test_deriver_diffs_dict = {
- "DeriverSchemas": {"schema1": {"previousSchema": test_schema, "newSchema": test_schema}},
- "Derivers": {"deriver1": {"previousSchema": test_schema, "newSchema": test_schema}},
- }
-
- deriver_diffs = DeriverDiffs.model_validate(test_deriver_diffs_dict)
-
- assert deriver_diffs.deriver_schemas["schema1"].old is not None
- assert deriver_diffs.deriver_schemas["schema1"].old.id == 123
- assert deriver_diffs.deriver_schemas["schema1"].old.hash == "abc123"
- assert deriver_diffs.deriver_schemas["schema1"].old.history_id == 456
- assert deriver_diffs.deriver_schemas["schema1"].old.created_at == datetime(2023, 1, 1)
- assert deriver_diffs.deriver_schemas["schema1"].old.updated_at == datetime(2023, 1, 2)
-
- assert deriver_diffs.derivers["deriver1"].new.id == 123
- assert deriver_diffs.derivers["deriver1"].new.hash == "abc123"
- assert deriver_diffs.derivers["deriver1"].new.history_id == 456
- assert deriver_diffs.derivers["deriver1"].new.created_at == datetime(2023, 1, 1)
- assert deriver_diffs.derivers["deriver1"].new.updated_at == datetime(2023, 1, 2)
diff --git a/tests/unit/derivers/test_physical_units.py b/tests/unit/derivers/test_physical_units.py
deleted file mode 100644
index 2ebc401..0000000
--- a/tests/unit/derivers/test_physical_units.py
+++ /dev/null
@@ -1,86 +0,0 @@
-from __future__ import annotations
-
-from nortech.derivers import get_physical_quantity, physical_units
-
-
-def test_get_quantity_from_input():
- def create_test_schema():
- import bytewax.operators as op
- from bytewax.dataflow import Stream
- from pydantic import BaseModel
-
- from nortech.derivers import (
- DeriverInputSchema,
- DeriverOutputSchema,
- DeriverSchema,
- InputField,
- OutputField,
- physical_units,
- )
-
- temperature = physical_units.PhysicalQuantity(
- name="Temperature",
- description="Temperature is a physical quantity that quantitatively expresses the attribute of hotness or coldness.",
- SIUnit=str(physical_units.unit_registry.kelvin),
- SIUnitSymbol=f"{physical_units.unit_registry.kelvin:~}",
- )
-
- class Input(DeriverInputSchema):
- input_signal: float | None = InputField(
- description="Input signal description",
- physical_quantity=temperature,
- )
-
- class Output(DeriverOutputSchema):
- output_signal: float | None = OutputField(
- description="Output signal description",
- physical_quantity=temperature,
- create_deriver_schema=create_test_schema,
- )
-
- class Configurations(BaseModel):
- pass
-
- def transform_stream(
- stream: Stream[Input],
- config: Configurations,
- ) -> Stream[Output]:
- return op.map(
- step_id="map_output",
- up=stream,
- mapper=lambda input_message: Output(
- timestamp=input_message.timestamp,
- output_signal=input_message.input_signal,
- ),
- )
-
- return DeriverSchema(
- name="Test Schema",
- description="Test Schema description",
- inputs=Input,
- outputs=Output,
- configurations=Configurations,
- transform_stream=transform_stream,
- )
-
- deriver_schema = create_test_schema()
-
- input_physical_quantity = get_physical_quantity(deriver_io=deriver_schema.inputs.input_signal)
-
- assert input_physical_quantity == physical_units.PhysicalQuantity(
- name="Temperature",
- description="Temperature is a physical quantity that quantitatively "
- "expresses the attribute of hotness or coldness.",
- SIUnit=str(physical_units.unit_registry.kelvin),
- SIUnitSymbol=f"{physical_units.unit_registry.kelvin:~}",
- )
-
- output_physical_quantity = get_physical_quantity(deriver_io=deriver_schema.outputs.output_signal)
-
- assert output_physical_quantity == physical_units.PhysicalQuantity(
- name="Temperature",
- description="Temperature is a physical quantity that quantitatively "
- "expresses the attribute of hotness or coldness.",
- SIUnit=str(physical_units.unit_registry.kelvin),
- SIUnitSymbol=f"{physical_units.unit_registry.kelvin:~}",
- )
diff --git a/uv.lock b/uv.lock
index 41a075f..1fdac1c 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,49 +1,38 @@
version = 1
+revision = 2
requires-python = ">=3.9"
resolution-markers = [
- "python_full_version < '3.11'",
+ "python_full_version >= '3.12'",
"python_full_version == '3.11.*'",
- "python_full_version == '3.12.*'",
- "python_full_version >= '3.13'",
+ "python_full_version == '3.10.*'",
+ "python_full_version < '3.10'",
]
[[package]]
name = "annotated-types"
version = "0.7.0"
source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/ee/67/531ea369ba64dcff5ec9c3402f9f51bf748cec26dde048a2f973a4eea7f5/annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89", size = 16081 }
+sdist = { url = "https://files.pythonhosted.org/packages/ee/67/531ea369ba64dcff5ec9c3402f9f51bf748cec26dde048a2f973a4eea7f5/annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89", size = 16081, upload-time = "2024-05-20T21:33:25.928Z" }
wheels = [
- { url = "https://files.pythonhosted.org/packages/78/b6/6307fbef88d9b5ee7421e68d78a9f162e0da4900bc5f5793f6d3d0e34fb8/annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53", size = 13643 },
-]
-
-[[package]]
-name = "appdirs"
-version = "1.4.4"
-source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/d7/d8/05696357e0311f5b5c316d7b95f46c669dd9c15aaeecbb48c7d0aeb88c40/appdirs-1.4.4.tar.gz", hash = "sha256:7d5d0167b2b1ba821647616af46a749d1c653740dd0d2415100fe26e27afdf41", size = 13470 }
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@@ -1909,16 +2290,16 @@ dependencies = [
{ name = "platformdirs" },
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