def gen_report_complex_no_files() -> dp.Report:
"""Generate a complex layout report with simple elements"""
select = dp.Select(blocks=[md_block, md_block], type=dp.SelectType.TABS)
group = dp.Group(md_block, md_block, columns=2)
return dp.Report(
dp.Page(
blocks=[
dp.Group(md_block, md_block, columns=2),
dp.Select(blocks=[md_block, group],
type=dp.SelectType.DROPDOWN),
],
title="Page Uno",
),
dp.Page(
blocks=[
dp.Group(select, select, columns=2),
dp.Select(blocks=[md_block, md_block, md_block],
type=dp.SelectType.TABS),
],
title="Page Duo",
),
dp.Page(
blocks=[
dp.Group(group, group, columns=2),
dp.Select(blocks=[select, select], type=dp.SelectType.TABS),
],
title="Page Tres",
),
)
def test_gen_failing_reports():
# local reports with unsupported elements
with pytest.raises(DPError):
r = dp.Report(dp.DataTable(gen_df()))
r._gen_report(embedded=True, title="TITLE", description="DESCRIPTION")
# nested pages
with pytest.raises((DocumentInvalid, DPError)):
r = dp.Report(dp.Page(dp.Page(md_block)))
r._gen_report(embedded=False, title="TITLE", description="DESCRIPTION")
with pytest.raises((DocumentInvalid, DPError)):
r = dp.Report(dp.Group(dp.Page(md_block)))
r._gen_report(embedded=False, title="TITLE", description="DESCRIPTION")
# group with 0 object
with pytest.raises((DocumentInvalid, DPError)):
r = dp.Report(dp.Page(dp.Group(blocks=[])))
r._gen_report(embedded=False, title="TITLE", description="DESCRIPTION")
# select with 1 object
with pytest.raises((DocumentInvalid, DPError)):
r = dp.Report(dp.Page(dp.Select(blocks=[md_block])))
r._gen_report(embedded=False, title="TITLE", description="DESCRIPTION")
# empty text block
with pytest.raises((AssertionError, DocumentInvalid, DPError)):
r = dp.Report(dp.Text(" "))
r._gen_report(embedded=False, title="TITLE", description="DESCRIPTION")
def gen_report_complex_with_files(datadir: Path,
single_file: bool = False,
local_report: bool = False) -> dp.Report:
# Asset tests
lis = [1, 2, 3]
small_df = gen_df()
big_df = gen_df(10000)
# text
# md_block
html_block = dp.HTML(html="<h1>Hello World</h1>")
html_block_1 = dp.HTML(html=h2("Hello World"))
code_block = dp.Code(code="print('hello')", language="python")
formula_block = dp.Formula(formula=r"\frac{1}{\sqrt{x^2 + 1}}")
big_number = dp.BigNumber(heading="Tests written", value=1234)
big_number_1 = dp.BigNumber(heading="Real Tests written :)",
value=11,
change=2,
is_upward_change=True)
embed_block = dp.Embed(url="https://www.youtube.com/watch?v=JDe14ulcfLA")
# assets
plot_asset = dp.Plot(data=gen_plot(), caption="Plot Asset")
list_asset = dp.File(data=lis, filename="List Asset", is_json=True)
img_asset = dp.File(file=datadir / "datapane-logo.png")
# tables
table_asset = dp.Table(data=small_df, caption="Test Basic Table")
# local reports don't support DataTable
dt_asset = table_asset if local_report else dp.DataTable(
df=big_df, caption="Test DataTable")
if single_file:
return dp.Report(dp.Group(blocks=[md_block, dt_asset]))
else:
return dp.Report(
dp.Page(
dp.Select(md_block,
html_block,
html_block_1,
code_block,
formula_block,
embed_block,
type=dp.SelectType.TABS),
dp.Group(big_number, big_number_1, columns=2),
),
dp.Page(
plot_asset,
list_asset,
img_asset,
table_asset,
dt_asset,
),
)
def test_add_footer():
text = "FOOTER"
r = dp.Report(blocks=[dp.Page(md_block, md_block) for _ in range(3)])
r1 = dp.templates.add_footer(r, footer=text, all_pages=True)
assert_report(r1, 0, 18)
assert glom(r1, ("pages", ["blocks.0.blocks.-1.content"])) == [text, text, text]
r1 = dp.templates.add_footer(r, footer=text, all_pages=False)
assert_report(r1, 0, 14)
assert glom(r1, ("pages", ["blocks.0.blocks.-1.content"])) == [text, md_block.content, md_block.content]
def test_gen_failing_reports():
# nested pages
with pytest.raises((DocumentInvalid, DPError)):
r = dp.Report(dp.Page(dp.Page(md_block)))
r._gen_report(embedded=False, title="TITLE", description="DESCRIPTION")
with pytest.raises((DocumentInvalid, DPError)):
r = dp.Report(dp.Group(dp.Page(md_block)))
r._gen_report(embedded=False, title="TITLE", description="DESCRIPTION")
# group with 0 object
with pytest.raises((DocumentInvalid, DPError)):
r = dp.Report(dp.Page(dp.Group(blocks=[])))
r._gen_report(embedded=False, title="TITLE", description="DESCRIPTION")
# select with 1 object
with pytest.raises((DocumentInvalid, DPError)):
r = dp.Report(dp.Page(dp.Select(blocks=[md_block])))
r._gen_report(embedded=False, title="TITLE", description="DESCRIPTION")
# empty text block
with pytest.raises((AssertionError, DocumentInvalid, DPError)):
r = dp.Report(dp.Text(" "))
r._gen_report(embedded=False, title="TITLE", description="DESCRIPTION")
# empty df
with pytest.raises((AssertionError, DocumentInvalid, DPError)):
r = dp.Report(dp.DataTable(pd.DataFrame()))
r._gen_report(embedded=False, title="TITLE", description="DESCRIPTION")
# invalid names
with pytest.raises(DocumentInvalid):
r = dp.Report(dp.Text("a", name="my-name"), dp.Text("a",
name="my-name"))
r._gen_report(embedded=False, title="TITLE", description="DESCRIPTION")
with pytest.raises(DPError):
dp.Report(dp.Text("a", name="3-invalid-name"))
yaxis_title='average',
legend_title='Race',
legend_bordercolor='black',
legend_borderwidth=2,
barmode='group',
bargap=.3)
# Create report
r = dp.Report(
dp.Page(
label='Introduction',
blocks=[
dp.HTML(html),
"The data has been compiled over 3 semesters, for the introductory computer science class CSE 1223.",
dp.Group(dp.BigNumber(heading="Number of Students",
value=num_students),
dp.BigNumber(heading="Class Average",
value=str(class_average) + "%",
change="2%",
is_upward_change=True),
columns=2),
dp.BigNumber(heading="Pass Rate", value=str(pass_rate) + "%"),
]),
dp.Page(label='Deliverables',
blocks=[
f'### Labs',
dp.Plot(lab_bar), f'### Homeworks',
dp.Plot(hw_bar), f'### Projects',
dp.Plot(project_bar)
]),
dp.Page(label='Exam Grades',
blocks=[f'### Kernel Density Plot ',
blocks=["#### Vagas - Engenheiro de Dados",
dp.DataTable(df_ED[colunas], label = "Engenheiro de Dados")]
)
pagina5 = dp.Page(
title ="Engenheiro de Machine Learning",
blocks=["#### Vagas - Engenheiro de Machine Learning",
dp.DataTable(df_EML[colunas], label = "Engenheiro de Machine Learning")]
)
"""
r = dp.Report(
dp.Page(title="Dashes",
blocks=[
"#### Heatmap de Vagas pelo Brasil",
dp.Plot(mapa), "#### Total Vagas",
dp.Plot(fig3), "#### Total Vagas por Estado",
dp.Plot(fig1), "#### Total Vagas por Nível",
dp.Plot(fig2)
]),
dp.Page(title="Cientista de Dados",
blocks=[
"#### Vagas - Cientista de Dados",
dp.DataTable(df_CD[colunas], label="Cientista de Dados")
]),
dp.Page(title="Analista de Dados",
blocks=[
"#### Vagas Analista de Dados",
dp.DataTable(df_AD[colunas], label="Analista de Dados")
]),
dp.Page(title="Engenheiro de Dados",
blocks=[