Bugfix for properly rendering datatables (#638)

poetry.lock

@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.4.0 and should not be changed by hand.
+# This file is automatically @generated by Poetry and should not be changed by hand.
 
 [[package]]
 name = "anyio"
@@ -454,6 +454,85 @@ files = [
 [package.dependencies]
 setuptools = "*"
 
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+    {file = "pandas-1.5.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dd05f7783b3274aa206a1af06f0ceed3f9b412cf665b7247eacd83be41cf7bf0"},
+    {file = "pandas-1.5.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9f69c4029613de47816b1bb30ff5ac778686688751a5e9c99ad8c7031f6508e5"},
+    {file = "pandas-1.5.3-cp39-cp39-win32.whl", hash = "sha256:7cec0bee9f294e5de5bbfc14d0573f65526071029d036b753ee6507d2a21480a"},
+    {file = "pandas-1.5.3-cp39-cp39-win_amd64.whl", hash = "sha256:dfd681c5dc216037e0b0a2c821f5ed99ba9f03ebcf119c7dac0e9a7b960b9ec9"},
+    {file = "pandas-1.5.3.tar.gz", hash = "sha256:74a3fd7e5a7ec052f183273dc7b0acd3a863edf7520f5d3a1765c04ffdb3b0b1"},
+]
+
+[package.dependencies]
+numpy = [
+    {version = ">=1.20.3", markers = "python_version < \"3.10\""},
+    {version = ">=1.21.0", markers = "python_version >= \"3.10\""},
+    {version = ">=1.23.2", markers = "python_version >= \"3.11\""},
+]
+python-dateutil = ">=2.8.1"
+pytz = ">=2020.1"
+
+[package.extras]
+test = ["hypothesis (>=5.5.3)", "pytest (>=6.0)", "pytest-xdist (>=1.31)"]
+
 [[package]]
 name = "pathspec"
 version = "0.11.0"
@@ -709,6 +879,21 @@ pytest = ">=5.0"
 [package.extras]
 dev = ["pre-commit", "pytest-asyncio", "tox"]
 
+[[package]]
+name = "python-dateutil"
+version = "2.8.2"
+description = "Extensions to the standard Python datetime module"
+category = "dev"
+optional = false
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+files = [
+    {file = "python-dateutil-2.8.2.tar.gz", hash = "sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86"},
+    {file = "python_dateutil-2.8.2-py2.py3-none-any.whl", hash = "sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9"},
+]
+
+[package.dependencies]
+six = ">=1.5"
+
 [[package]]
 name = "python-engineio"
 version = "4.3.4"
@@ -759,6 +944,18 @@ python-engineio = ">=4.3.0"
 asyncio-client = ["aiohttp (>=3.4)"]
 client = ["requests (>=2.21.0)", "websocket-client (>=0.54.0)"]
 
+[[package]]
+name = "pytz"
+version = "2022.7.1"
+description = "World timezone definitions, modern and historical"
+category = "dev"
+optional = false
+python-versions = "*"
+files = [
+    {file = "pytz-2022.7.1-py2.py3-none-any.whl", hash = "sha256:78f4f37d8198e0627c5f1143240bb0206b8691d8d7ac6d78fee88b78733f8c4a"},
+    {file = "pytz-2022.7.1.tar.gz", hash = "sha256:01a0681c4b9684a28304615eba55d1ab31ae00bf68ec157ec3708a8182dbbcd0"},
+]
+
 [[package]]
 name = "redis"
 version = "4.5.1"
@@ -937,7 +1134,7 @@ files = [
 ]
 
 [package.dependencies]
-greenlet = {version = "!=0.4.17", markers = "python_version >= \"3\" and platform_machine == \"aarch64\" or python_version >= \"3\" and platform_machine == \"ppc64le\" or python_version >= \"3\" and platform_machine == \"x86_64\" or python_version >= \"3\" and platform_machine == \"amd64\" or python_version >= \"3\" and platform_machine == \"AMD64\" or python_version >= \"3\" and platform_machine == \"win32\" or python_version >= \"3\" and platform_machine == \"WIN32\""}
+greenlet = {version = "!=0.4.17", markers = "python_version >= \"3\" and (platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\")"}
 importlib-metadata = {version = "*", markers = "python_version < \"3.8\""}
 
 [package.extras]
@@ -1236,4 +1433,4 @@ testing = ["big-O", "flake8 (<5)", "jaraco.functools", "jaraco.itertools", "more
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.7"
-content-hash = "b7272a6016a5b9fb3eea7ce834b9f539919e8f71c7f849d626adb2ee7a354d2f"
+content-hash = "5ca32932250a2a3f00c95b0bdd77d9702b82e951958ee5ca29180f11174ac8e4"

pynecone/components/datadisplay/datatable.py

@@ -60,12 +60,26 @@ class DataTable(Gridjs):
         Raises:
             ValueError: If a pandas dataframe is passed in and columns are also provided.
         """
+        data = props.get("data")
+
         # If data is a pandas dataframe and columns are provided throw an error.
-        if utils.is_dataframe(type(props.get("data"))) and props.get("columns"):
+        if (
+            utils.is_dataframe(type(data))
+            or (isinstance(data, Var) and utils.is_dataframe(data.type_))
+        ) and props.get("columns"):
             raise ValueError(
                 "Cannot pass in both a pandas dataframe and columns to the data_table component."
             )
 
+        # If data is a list and columns are not provided, throw an error
+        if (
+            (isinstance(data, Var) and issubclass(data.type_, List))
+            or issubclass(type(data), List)
+        ) and not props.get("columns"):
+            raise ValueError(
+                "column field should be specified when the data field is a list type"
+            )
+
         # Create the component.
         return super().create(
             *children,
@@ -78,15 +92,19 @@ class DataTable(Gridjs):
         )
 
     def _render(self) -> Tag:
-        # If given a var dataframe, get the data and columns
+
         if isinstance(self.data, Var):
             self.columns = BaseVar(
-                name=f"{self.data.name}.columns",
+                name=f"{self.data.name}.columns"
+                if utils.is_dataframe(self.data.type_)
+                else f"{self.columns.name}",
                 type_=List[Any],
                 state=self.data.state,
             )
             self.data = BaseVar(
-                name=f"{self.data.name}.data",
+                name=f"{self.data.name}.data"
+                if utils.is_dataframe(self.data.type_)
+                else f"{self.data.name}",
                 type_=List[List[Any]],
                 state=self.data.state,
             )

pynecone/components/tags/tag.py

@@ -127,7 +127,7 @@ class Tag(Base):
         # Format all the props.
         return os.linesep.join(
             f"{name}={self.format_prop(prop)}"
-            for name, prop in self.props.items()
+            for name, prop in sorted(self.props.items())
             if prop is not None
         )
 

pyproject.toml

@@ -49,6 +49,10 @@ toml = "^0.10.2"
 pytest-asyncio = "^0.20.1"
 black = "^22.10.0"
 ruff = "^0.0.244"
+pandas = [
+    {version = "^1.5.3", python = ">=3.8,<4.0"},
+    {version = "^1.1", python = ">=3.7, <3.8"}
+]
 
 [tool.poetry.scripts]
 pc = "pynecone.pc:main"

tests/components/datadisplay/conftest.py

@@ -0,0 +1,12 @@
+import pytest
+
+import pynecone as pc
+
+
+@pytest.fixture
+def data_table_state(request):
+    class DataTableState(pc.State):
+        data = request.param["data"]
+        columns = ["column1", "column2"]
+
+    return DataTableState

tests/components/datadisplay/test_datatable.py

@@ -0,0 +1,64 @@
+import os
+
+import pandas as pd
+import pytest
+
+import pynecone as pc
+from pynecone import utils
+from pynecone.components import data_table
+
+
+@pytest.mark.parametrize(
+    "data_table_state,expected",
+    [
+        pytest.param(
+            {
+                "data": pd.DataFrame(
+                    [["foo", "bar"], ["foo1", "bar1"]], columns=["column1", "column2"]
+                )
+            },
+            "data_table_state.data",
+        ),
+        pytest.param({"data": ["foo", "bar"]}, "data_table_state"),
+        pytest.param({"data": [["foo", "bar"], ["foo1", "bar1"]]}, "data_table_state"),
+    ],
+    indirect=["data_table_state"],
+)
+def test_validate_data_table(data_table_state: pc.Var, expected):
+    """Test the str/render function.
+
+    Args:
+        data_table_state: The state fixture.
+        expected: expected var name.
+
+    """
+    props = {"data": data_table_state.data}
+    if not utils.is_dataframe(data_table_state.data.type_):
+        props["columns"] = data_table_state.columns
+    data_table_component = data_table(**props)
+
+    assert (
+        str(data_table_component)
+        == f"<DataTableGrid columns={{{expected}.columns}}{os.linesep}data={{"
+        f"{expected}.data}}/>"
+    )
+
+
+@pytest.mark.parametrize(
+    "props",
+    [
+        {"data": [["foo", "bar"], ["foo1", "bar1"]]},
+        {
+            "data": pd.DataFrame([["foo", "bar"], ["foo1", "bar1"]]),
+            "columns": ["column1", "column2"],
+        },
+    ],
+)
+def test_invalid_props(props):
+    """Test if value error is thrown when invalid props are passed.
+
+    Args:
+        props: props to pass in component.
+    """
+    with pytest.raises(ValueError):
+        data_table(**props)