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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" diff --git a/pynecone/components/datadisplay/datatable.py b/pynecone/components/datadisplay/datatable.py index c22ffd914..aea2d491c 100644 --- a/pynecone/components/datadisplay/datatable.py +++ b/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, ) diff --git a/pynecone/components/tags/tag.py b/pynecone/components/tags/tag.py index e9c492cbe..2d38fd802 100644 --- a/pynecone/components/tags/tag.py +++ b/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 ) diff --git a/pyproject.toml b/pyproject.toml index d3dd219a8..5364d2d7c 100644 --- a/pyproject.toml +++ b/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" diff --git a/tests/components/datadisplay/__init__.py b/tests/components/datadisplay/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/tests/components/datadisplay/conftest.py b/tests/components/datadisplay/conftest.py new file mode 100644 index 000000000..ca5d1b9af --- /dev/null +++ b/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 diff --git a/tests/components/datadisplay/test_datatable.py b/tests/components/datadisplay/test_datatable.py new file mode 100644 index 000000000..f8403025a --- /dev/null +++ b/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"" + ) + + +@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)