Add support for builtin sequences

examples/sample/sample.py

@@ -1,5 +1,7 @@
 """This example demonstrates how to open/update a Streamlit application using nipanel package."""
 
+import itertools
+import math
 import pathlib
 
 import nipanel
@@ -17,6 +19,13 @@
 panel.set_value("sample_float", 3.14)
 panel.set_value("sample_bool", True)
 
+x_values = [
+    float(x) for x in itertools.takewhile(lambda p: p < 2 * math.pi, itertools.count(0, 0.05))
+]
+y_values = [math.sin(x) for x in x_values]
+panel.set_value("x_values", x_values)
+panel.set_value("y_values", y_values)
+
 input("Press Enter to close the panel...")
 
 panel.close_panel(reset=True)

examples/sample/sample_panel.py

@@ -1,5 +1,6 @@
 """Streamlit application script for displaying values using nipanel package."""
 
+import pandas as pd
 import streamlit as st
 
 import nipanel
@@ -15,9 +16,22 @@
     st.write("Integer")
     st.write("Float")
     st.write("Boolean")
+    st.write("Line")
 
 with col2:
     st.write(panel.get_value("sample_string"))
     st.write(panel.get_value("sample_int"))
     st.write(panel.get_value("sample_float"))
     st.write(panel.get_value("sample_bool"))
+    st.line_chart(
+        data=pd.DataFrame(
+            {
+                "x": panel.get_value("x_values"),
+                "y": panel.get_value("y_values"),
+            }
+        ),
+        x="x",
+        y="y",
+        x_label="x",
+        y_label="sin(x)",
+    )

protos/ni/pythonpanel/v1/python_panel_types.proto

@@ -0,0 +1,33 @@
+syntax = "proto3";
+
+package ni.pythonpanel.v1;
+
+option cc_enable_arenas = true;
+option csharp_namespace = "NationalInstruments.PythonPanel.V1";
+option go_package = "pythonpanelv1";
+option java_multiple_files = true;
+option java_outer_classname = "PythonPanelServiceProto";
+option java_package = "com.ni.pythonpanel.v1";
+option objc_class_prefix = "NIPP";
+option php_namespace = "NI\\PythonPanel\\V1";
+option ruby_package = "NI::PythonPanel::V1";
+
+message BoolCollection {
+  repeated bool values = 1;
+}
+
+message ByteStringCollection {
+  repeated bytes values = 1;
+}
+
+message FloatCollection {
+  repeated double values = 1;
+}
+
+message IntCollection {
+  repeated sint64 values = 1;
+}
+
+message StringCollection {
+  repeated string values = 1;
+}

src/ni/pythonpanel/v1/python_panel_types_pb2.pyi

@@ -0,0 +1,93 @@
+"""
+@generated by mypy-protobuf.  Do not edit manually!
+isort:skip_file
+"""
+
+import builtins
+import collections.abc
+import google.protobuf.descriptor
+import google.protobuf.internal.containers
+import google.protobuf.message
+import typing
+
+DESCRIPTOR: google.protobuf.descriptor.FileDescriptor
+
+@typing.final
+class BoolCollection(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    VALUES_FIELD_NUMBER: builtins.int
+    @property
+    def values(self) -> google.protobuf.internal.containers.RepeatedScalarFieldContainer[builtins.bool]: ...
+    def __init__(
+        self,
+        *,
+        values: collections.abc.Iterable[builtins.bool] | None = ...,
+    ) -> None: ...
+    def ClearField(self, field_name: typing.Literal["values", b"values"]) -> None: ...
+
+global___BoolCollection = BoolCollection
+
+@typing.final
+class ByteStringCollection(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    VALUES_FIELD_NUMBER: builtins.int
+    @property
+    def values(self) -> google.protobuf.internal.containers.RepeatedScalarFieldContainer[builtins.bytes]: ...
+    def __init__(
+        self,
+        *,
+        values: collections.abc.Iterable[builtins.bytes] | None = ...,
+    ) -> None: ...
+    def ClearField(self, field_name: typing.Literal["values", b"values"]) -> None: ...
+
+global___ByteStringCollection = ByteStringCollection
+
+@typing.final
+class FloatCollection(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    VALUES_FIELD_NUMBER: builtins.int
+    @property
+    def values(self) -> google.protobuf.internal.containers.RepeatedScalarFieldContainer[builtins.float]: ...
+    def __init__(
+        self,
+        *,
+        values: collections.abc.Iterable[builtins.float] | None = ...,
+    ) -> None: ...
+    def ClearField(self, field_name: typing.Literal["values", b"values"]) -> None: ...
+
+global___FloatCollection = FloatCollection
+
+@typing.final
+class IntCollection(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    VALUES_FIELD_NUMBER: builtins.int
+    @property
+    def values(self) -> google.protobuf.internal.containers.RepeatedScalarFieldContainer[builtins.int]: ...
+    def __init__(
+        self,
+        *,
+        values: collections.abc.Iterable[builtins.int] | None = ...,
+    ) -> None: ...
+    def ClearField(self, field_name: typing.Literal["values", b"values"]) -> None: ...
+
+global___IntCollection = IntCollection
+
+@typing.final
+class StringCollection(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    VALUES_FIELD_NUMBER: builtins.int
+    @property
+    def values(self) -> google.protobuf.internal.containers.RepeatedScalarFieldContainer[builtins.str]: ...
+    def __init__(
+        self,
+        *,
+        values: collections.abc.Iterable[builtins.str] | None = ...,
+    ) -> None: ...
+    def ClearField(self, field_name: typing.Literal["values", b"values"]) -> None: ...
+
+global___StringCollection = StringCollection

src/ni/pythonpanel/v1/python_panel_types_pb2_grpc.py

@@ -0,0 +1,4 @@
+# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
+"""Client and server classes corresponding to protobuf-defined services."""
+import grpc
+

src/ni/pythonpanel/v1/python_panel_types_pb2_grpc.pyi

@@ -0,0 +1,17 @@
+"""
+@generated by mypy-protobuf.  Do not edit manually!
+isort:skip_file
+"""
+
+import abc
+import collections.abc
+import grpc
+import grpc.aio
+import typing
+
+_T = typing.TypeVar("_T")
+
+class _MaybeAsyncIterator(collections.abc.AsyncIterator[_T], collections.abc.Iterator[_T], metaclass=abc.ABCMeta): ...
+
+class _ServicerContext(grpc.ServicerContext, grpc.aio.ServicerContext):  # type: ignore[misc, type-arg]
+    ...