def header(column: Column):
if column.sortable():
if query.sort_column_name == column.column_name and query.sort_order == 'ASC':
icon = _.span(class_=('fa fa-sort-amount-asc'))['']
elif query.sort_column_name == column.column_name and query.sort_order == 'DESC':
icon = _.span(class_=('fa fa-sort-amount-desc'))['']
else:
icon = ''
return _.a(href="#", name=flask.escape(column.column_name))[
icon, ' ',
flask.escape(column.column_name)]
else:
return flask.escape(column.column_name)
def index_page():
"""Overview page of mara_db"""
return response.Response(
title=f'Database schemas',
html=bootstrap.card(body=[
_.div(
style=
'display:inline-block; margin-top:15px; margin-bottom:15px; margin-right:50px;'
)[_.a(href=flask.url_for('mara_db.schema_page', db_alias=db_alias)
)[_.span(class_='fa fa-database')[''], ' ', db_alias], _.br,
_.span(style='color:#888')[escape(str(type(db).__name__))]]
for db_alias, db in config.databases().items()
]),
js_files=[flask.url_for('mara_db.static', filename='schema-page.js')])
def _render_preview_row(query, row):
values = []
for pos, value in enumerate(row):
if value == '🔒':
values.append(acl.inline_permission_denied_message('Restricted personal data'))
elif query.column_names[pos] in query.data_set.custom_column_renderers:
values.append(query.data_set.custom_column_renderers[query.column_names[pos]](value))
elif not value:
values.append('')
elif query.data_set.columns[query.column_names[pos]].type == 'text[]':
values.append(_.ul[[_.li[_.span(class_='preview-value')[str(array_element)]] for array_element in value]])
elif query.data_set.columns[query.column_names[pos]].type == 'json':
values.append(_.pre(class_='preview-value')[flask.escape(json.dumps(value, indent=2))])
else:
values.append(_.span(class_='preview-value')[str(value)])
return _.tr[[_.td[value] for value in values]]
def document(doc_id, folder_id=""):
docs = all_docs()
if folder_id:
full_doc_id = folder_id + '/' + doc_id
else:
full_doc_id = doc_id
if full_doc_id not in docs:
raise flask.abort(404, f"Documentation {doc_id} is not known.")
doc = docs[full_doc_id]
if not doc.path.exists():
raise flask.abort(404, f"Documentation {doc_id} is not found ({doc.path}).")
with doc.path.open() as f:
md_content = f.read()
md_escaped = flask.escape(md_content)
return response.Response(
title=f'Doc "{doc.full_name}"',
html=[bootstrap.card(
body=[
_.div(style="display:none")[_.pre(id_='markdown-source')[md_escaped]],
_.div(id_='markdown-rendered-content')[
_.span(class_='fa fa-spinner fa-spin')[' ']
],
]),
_.script(type="text/javascript")[__render_code],
],
js_files=[
'https://cdnjs.cloudflare.com/ajax/libs/mermaid/8.7.0/mermaid.min.js',
'https://cdnjs.cloudflare.com/ajax/libs/markdown-it/11.0.0/markdown-it.min.js',
'https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.1.2/highlight.min.js',
flask.url_for('docs.static', filename='markdown-it-naive-mermaid.js'),
],
css_files=[
'https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.1.2/styles/default.min.css',
]
)
def render_entry(entry: navigation.NavigationEntry, level: int = 1):
attrs = {}
if entry.children:
attrs.update({'onClick': 'toggleNavigationEntry(this)'})
else:
attrs.update({
'onClick':
'highlightNavigationEntry(\'' + entry.uri_fn() +
'\');collapseNavigation()',
'href':
entry.uri_fn()
})
if entry.description:
attrs.update({
'title': entry.description,
'data-toggle': 'tooltip',
'data-container': 'body',
'data-placement': 'right'
})
return _.div(
_class='mara-nav-entry level-' + str(level),
style='display:none' if level > 1 else
'')[_.a(**attrs)[_.span(_class='fa fa-fw fa-' + entry.icon + (
' fa-lg' if level == 1 else ''))[''] if entry.icon else '',
entry.label.replace('_', '_<wbr>'),
_.div(_class='mara-caret fa fa-caret-down'
)[''] if entry.children else ''],
render_entries(entry.children, level + 1)]
def action_button(button: mara_page.response.ActionButton):
"""Renders an action button"""
return [
_.a(_class='btn', href=button.action,
title=button.title)[_.span(_class='fa fa-' + button.icon)[''], ' ',
button.label]
]
def page_header(response: mara_page.response.Response):
"""Renders the fixed top part of the page"""
return _.nav(id='mara-page-header', _class='navbar fixed-top')[
_.a(_class='navigation-toggle-button fa fa-lg fa-reorder',
onclick='toggleNavigation()')[' '],
_.h1()[response.title],
_.img(src=config.logo_url()),
_.span(_class='action-buttons')[map(action_button, response.
action_buttons)]]
def spinner() -> [str]:
"""
Returns markup for an animated load spinner.
The default version requires font-awesome to be installed
Returns: html markup
"""
return _.span(class_='fa fa-spinner fa-spin')[' ']
def button(url: str, label: str, title: str, icon: str, id: str = None):
"""
Renders a bootstrap button
Args:
url: The action to perform
label: The button label
title: A help message
icon: An icon from the `fontawesome`_ collection
id: An id that is added to the element
Returns:
The rendered button
.. _fontawesome:
http://fontawesome.io/icons/
"""
return _.a(class_='btn mara-button', href=url, title=title, id=id or uuid.uuid1())[
_.span(class_='fa fa-' + icon)[''], ' ', label]
def data_set_page(data_set_id, query_id):
from .data_set import find_data_set
ds = find_data_set(data_set_id)
if not ds:
flask.flash(f'Data set "{data_set_id}" does not exist anymore', category='danger')
return flask.redirect(flask.url_for('mara_data_explorer.index_page'))
action_buttons = []
action_buttons.append(response.ActionButton(action='javascript:dataSetPage.downloadCSV()',
icon='download',
label='CSV', title='Download as CSV'))
if config.google_sheet_oauth2_client_config():
action_buttons.append(response.ActionButton(action='javascript:dataSetPage.exportToGoogleSheet()',
icon='cloud-upload',
label='Google sheet', title='Export to a Google sheet'))
action_buttons.append(response.ActionButton(action='javascript:dataSetPage.load()',
icon='folder-open',
label='Load', title='Load previously saved query'))
action_buttons.append(response.ActionButton(action='javascript:dataSetPage.save()',
icon='save',
label='Save', title='Save query'))
action_buttons.append(response.ActionButton(action='javascript:dataSetPage.displayQuery()',
icon='eye',
label='SQL', title='Display query'))
if query_id:
action_buttons.insert(1, response.ActionButton(
action=flask.url_for('mara_data_explorer._delete_query', data_set_id=data_set_id, query_id=query_id),
icon='trash', label='Delete', title='Delete query'))
return response.Response(
title=f'Query "{query_id}" on "{ds.name}"' if query_id else f'New query on "{ds.name}"',
html=[_.div(class_='row')[
_.div(class_='col-md-3')[
bootstrap.card(header_left='Query', body=_.div(id='query-details')[html.spinner()]),
bootstrap.card(header_left='Columns',
header_right=_.a(id='select-all', href='#')[' Select all'],
body=[_.div(class_="form-group")[
_.input(type="search", class_="columns-search form-control",
value="", placeholder="Filter")],
_.div(id='columns-list')[html.spinner()]])],
_.div(class_='col-md-9')[
bootstrap.card(
id='filter-card',
header_left=[_.div(class_="dropdown")[
_.a(**{'class': 'dropdown-toggle', 'data-toggle': 'dropdown', 'href': '#'})[
_.span(class_='fa fa-plus')[' '], ' Add filter'],
_.div(class_="dropdown-menu", id='filter-menu')[
_.div(class_="dropdown-item")[
_.input(type="text", class_="columns-search form-control", value="",
placeholder="Filter")]]]],
fixed_header_height=False,
body=_.div(id='filters')[html.spinner()]),
bootstrap.card(header_left=_.div(id='row-counts')[html.spinner()],
header_right=_.div(id='pagination')[html.spinner()],
body=_.div(id='preview')[html.spinner()]),
_.div(class_='row', id='distribution-charts')['']
]], _.script[f"""
var dataSetPage = null;
document.addEventListener('DOMContentLoaded', function() {{
dataSetPage = DataSetPage('{flask.url_for('mara_data_explorer.index_page')}',
{json.dumps(
{'data_set_id': data_set_id, 'query_id': query_id, 'query': flask.request.get_json()})},
15, '{config.charts_color()}');
}});
"""],
html.spinner_js_function(),
_.div(class_='col-xl-4 col-lg-6', id='distribution-chart-template', style='display: none')[
bootstrap.card(header_left=html.spinner(), body=_.div(class_='chart-container google-chart')[
html.spinner()])],
_.div(class_='modal fade', id='load-query-dialog', tabindex="-1")[
_.div(class_='modal-dialog', role='document')[
_.div(class_='modal-content')[
_.div(class_='modal-header')[
_.h5(class_='modal-title')['Load query'],
_.button(**{'type': "button", 'class': "close", 'data-dismiss': "modal",
'aria-label': "Close"})[
_.span(**{'aria-hidden': 'true'})['×']]],
_.div(class_='modal-body', id='query-list')['']
]
]
],
_.div(class_='modal fade', id='display-query-dialog', tabindex="-1")[
_.div(class_='modal-dialog', role='document')[
_.div(class_='modal-content')[
_.div(class_='modal-header')[
_.h5(class_='modal-title')['Query statement'],
_.button(**{'type': "button", 'class': "close", 'data-dismiss': "modal",
'aria-label': "Close"})[
_.span(**{'aria-hidden': 'true'})['×']]],
_.div(class_='modal-body', id='query-display')['']
]
]
],
_.form(action=flask.url_for('mara_data_explorer.download_csv', data_set_id=data_set_id), method='post')[
_.div(class_="modal fade", id="download-csv-dialog", tabindex="-1")[
_.div(class_="modal-dialog", role='document')[
_.div(class_="modal-content")[
_.div(class_="modal-header")[
_.h5(class_='modal-title')['Download as CSV'],
_.button(**{'type': "button", 'class': "close", 'data-dismiss': "modal",
'aria-label': "Close"})[
_.span(**{'aria-hidden': 'true'})['×']]],
_.div(class_="modal-body")[
'Delimiter:  ',
_.input(type="radio", value="\t", name="delimiter",
checked="checked"), ' tab   ',
_.input(type="radio", value=";", name="delimiter"), ' semicolon   ',
_.input(type="radio", value=",", name="delimiter"), ' comma   ',
_.hr,
'Number format:  ',
_.input(type="radio", value=".", name="decimal-mark",
checked="checked"), ' 42.7   ',
_.input(type="radio", value=",", name="decimal-mark"), ' 42,7   ',
_.input(type="hidden", name="query")],
_.div(class_="modal-footer")[
_.button(id="csv-download-button", type="submit", class_="btn btn-primary")[
'Download']]]]]],
_.form(action=flask.url_for('mara_data_explorer.oauth2_export_to_google_sheet', data_set_id=data_set_id),
method='post',
target="_blank")[
_.div(class_="modal fade", id="google-sheet-export-dialog", tabindex="-1")[
_.div(class_="modal-dialog", role='document')[
_.div(class_="modal-content")[
_.div(class_="modal-header")[
_.h5(class_='modal-title')['Google sheet export'],
_.button(**{'type': "button", 'class': "close", 'data-dismiss': "modal",
'aria-label': "Close"})[
_.span(**{'aria-hidden': 'true'})['×']]],
_.div(class_="modal-body")[
'Number format:  ',
_.input(type="radio", value=".", name="decimal-mark",
checked="checked"), ' 42.7   ',
_.input(type="radio", value=",", name="decimal-mark"), ' 42,7   ',
_.hr,
'Array format:  ',
_.input(type="radio", value="curly", name="array-format",
checked="checked"), ' {"a", "b"}   ',
_.input(type="radio", value="normal", name="array-format"), ' ["a", "b"]   ',
_.input(type="radio", value="tuple", name="array-format"), ' ("a", "b")   ',
_.hr,
'By clicking Export below:',
_.br,
_.ul[
_.li['Google authentication will be required.'],
_.li['A maximum limit of 100.000 rows will be applied.'],
_.li['A maximum limit of 50.000 characters per cell will be applied.'],
_.li['A Google sheet with the selected data will be available in a new tab.']
],
_.input(type="hidden", name="query")
],
_.div(class_="modal-footer")[
_.button(id="export-to-google-sheet", type="submit", class_="btn btn-primary")[
'Export']]]]]]
],
action_buttons=action_buttons,
js_files=['https://www.gstatic.com/charts/loader.js',
flask.url_for('mara_data_explorer.static', filename='tagsinput.js'),
flask.url_for('mara_data_explorer.static', filename='typeahead.js'),
flask.url_for('mara_data_explorer.static', filename='data-sets.js')],
css_files=[flask.url_for('mara_data_explorer.static', filename='tagsinput.css'),
flask.url_for('mara_data_explorer.static', filename='data-sets.css')])
def start_page():
import mara_pipelines.config
from mara_data_explorer.data_set import find_data_set
data_set_for_preview = find_data_set('order_items')
assert (data_set_for_preview)
return response.Response(
title='MyCompany BI',
html=_.div(class_='row')[_.div(
class_='col-lg-6'
)[bootstrap.
card(header_left=_.b['Welcome'],
body=[
_.
p['This is the first thing that users of your data warehouse will see. ',
'Please add links to relevant documentation, tutorials & other ',
'data tools in your organization.'], _.p[
_.a(href='https://github.com/mara/mara-example-project-1/blob/master/app/ui/start_page.py'
)[
'Here'],
' is the source code for this page, and here is a picture of a ',
_.a(href='https://en.wikipedia.org/wiki/Mara_(mammal)'
)[
'mara'], ':'],
_.
img(src=flask.url_for('ui.static', filename='mara.jpg'),
style
='width:40%; margin-left: auto; margin-right:auto; display:block;'
)
]),
bootstrap.card(header_left=[
_.b[_.a(href=flask.url_for('mara_metabase.metabase'))[_.span(
class_='fa fa-bar-chart')[''], ' Metabase']], ' & ', _.
b[_.a(href=flask.url_for('mara_mondrian.saiku'))[_.span(
class_='fa fa-bar-chart')[''], ' Saiku']],
': Company wide dashboards, pivoting & ad hoc analysis'
],
body=[
_.
p['Metabase tutorial: ',
_.
a(href=
'https://www.metabase.com/docs/latest/getting-started.html'
)
['https://www.metabase.com/docs/latest/getting-started.html']],
_.
p['Saiku introduction: ',
_.
a(href=
'https://saiku-documentation.readthedocs.io/en/latest/'
)
['https://saiku-documentation.readthedocs.io/en/latest/']]
]),
bootstrap.card(header_left=[
_.b[_.a(href=flask.url_for('mara_data_explorer.index_page'))[
_.span(class_='fa fa-table')[''],
' Explore']], ': Raw data access & segmentation'
],
body=[
_.p[_.a(
href=flask.
url_for('mara_data_explorer.data_set_page',
data_set_id=data_set_for_preview.id
))[data_set_for_preview.name], ':',
html.asynchronous_content(
flask.url_for(
'mara_data_explorer.data_set_preview',
data_set_id=data_set_for_preview.id)
)], _.
p['Other data sets: ', ', '.join([
str(
_.a(href=flask.url_for(
'mara_data_explorer.data_set_page',
data_set_id=ds.id))[ds.name])
for ds in mara_data_explorer.config.data_sets(
) if ds.id != data_set_for_preview.id
])]
])],
_.div(class_='col-lg-6')
[bootstrap.
card(header_left=[
_.b[_.a(href=flask.url_for(
'mara_schema.index_page'))[_.span(
class_='fa fa-book'
)[''], ' Data sets']],
': Documentation of attributes and metrics of all data sets'
],
body=html.asynchronous_content(
url=flask.
url_for('mara_schema.overview_graph'
))),
bootstrap.card(header_left=[
_.b[_.a(
href=flask.
url_for('mara_pipelines.node_page')
)[_.span(class_='fa fa-wrench')[''],
' Pipelines']],
': The data integration pipelines that create the DWH'
],
body=html.
asynchronous_content(
flask.url_for(
'mara_pipelines.dependency_graph',
path='/'))),
bootstrap.card(header_left=[
_.b[_.a(href=flask.
url_for('mara_db.index_page')
)[_.span(
class_='fa fa-database')[''],
' Database Schemas']],
': Schemas of all databases connections'
],
body=[
html.asynchronous_content(
flask.url_for(
'mara_db.draw_schema',
db_alias=
mara_pipelines.
config.
default_db_alias(
),
schemas='ec_dim'
) +
'?hide-columns=True')
])]])
def view_plots():
return response.Response(
html=[
_.div(id='forecast-container')[_.div(class_="")[[
[
_.div(class_='row')[_.div(class_='col-xl-12')[_.div(
class_='section-header')[forecast.metric_name]]],
_.div(class_='row')[_.div(class_='col-xl-12')[
_.p()['Number of days: ' +
str(forecast.number_of_days),
_.br(), 'Time-series query: ',
html.highlight_syntax(forecast.time_series_query,
language='postgresql')],
bootstrap.card(
header_left='Forecast plot of "' +
forecast.metric_name + '"',
header_right=_.div()[
# config.forecast_table_name
# _.a(class_='query-control', style='margin-right: 10px',
# href='#')[
# _.span(class_='fa fa-download')[' ']],
_.
a(class_='query-control',
href=f"javascript:showQueryDetails('"
f"{flask.url_for('forecasts.query_details', name=forecast.metric_name)}')"
)[_.span(class_='fa fa-eye')[' ']]],
body=[
html.asynchronous_content(
flask.url_for('forecasts.get_plot_image',
name=forecast.metric_name.
lower().replace(' ', '_').
replace('-', '_'),
components='False')),
_.br(),
_.br(),
_.div(class_='modal fade',
id='query-details-dialog',
tabindex="-1"
)[_.div(class_='modal-dialog modal-lg',
role='document')[_.div(
class_='modal-content'
)[_.div(
class_='modal-header'
)[_.h5(class_='modal-title'
)['Time-series query'],
_.button(
**{
'type': "button",
'class': "close",
'data-dismiss': "modal",
'aria-label': "Close"
}
)[_.span(
**{'aria-hidden': 'true'}
)['×']]],
_.div(class_='modal-body',
id='query-details'
)['']]]],
])],
_.
div(class_='col-xl-12')[bootstrap.card(
header_left=
'Forecast components (trend, holidays, seasonality) of "{}"'
.format(forecast.metric_name),
header_right='',
body=[
html.asynchronous_content(
flask.url_for(
'forecasts.get_plot_image',
name=forecast.
metric_name.lower(
).replace(' ', '_').
replace('-', '_'),
components='True')),
])],
_.hr()]
] for forecast in config.forecasts()
]]],
_.script['''''']
],
title='Forecasts',
css_files=[
'https://fonts.googleapis.com/css?family=Open+Sans:300,400,700',
flask.url_for('forecasts.static', filename='forecast.css')
],
js_files=[
flask.url_for('forecasts.static', filename='forecast.js'),
'https://www.gstatic.com/charts/loader.js'
])
def data_set_page(data_set_id, query_id):
ds = find_data_set(data_set_id)
if not ds:
flask.flash(f'Data set "{data_set_id}" does not exist anymore',
category='danger')
return flask.redirect(flask.url_for('data_sets.index_page'))
action_buttons = [
response.ActionButton(action='javascript:dataSetPage.downloadCSV()',
icon='download',
label='CSV',
title='Download as CSV'),
response.ActionButton(action='javascript:dataSetPage.load()',
icon='folder-open',
label='Load',
title='Load previously saved query'),
response.ActionButton(action='javascript:dataSetPage.save()',
icon='save',
label='Save',
title='Save query')
]
if query_id:
action_buttons.insert(
1,
response.ActionButton(action=flask.url_for(
'data_sets._delete_query',
data_set_id=data_set_id,
query_id=query_id),
icon='trash',
label='Delete',
title='Delete query'))
return response.Response(
title=f'Query "{query_id}" on "{ds.name}"'
if query_id else f'New query on "{ds.name}"',
html=[
_.div(
class_='row')[_.div(
class_='col-md-3'
)[bootstrap.card(header_left='Query',
body=_.div(
id='query-details')[html.spinner()]),
bootstrap.
card(header_left='Columns',
body=[
_.div(
class_="form-group"
)[_.input(type="search",
class_="columns-search form-control",
value="",
placeholder="Filter")],
_.div(id='columns-list')[html.spinner()]
])],
_.div(class_='col-md-9')[bootstrap.card(
id='filter-card',
header_left=[
_.div(class_="dropdown")[_.a(
**{
'class': 'dropdown-toggle',
'data-toggle': 'dropdown',
'href': '#'
}
)[_.span(
class_='fa fa-plus')[' '],
' Add filter'],
_.
div(class_=
"dropdown-menu",
id=
'filter-menu'
)
[_.div(
class_
="dropdown-item"
)[_.input(
type
="text",
class_=
"columns-search form-control",
value="",
placeholder=
"Filter")]]]
],
fixed_header_height=False,
body=_.div(id='filters')[html.spinner()]),
bootstrap.
card(header_left=_.div(
id='row-counts'
)[html.spinner()],
header_right=_.div(
id='pagination'
)[html.spinner()],
body=_.div(
id='preview'
)[html.spinner()]),
_.
div(class_='row',
id=
'distribution-charts'
)['']]],
_.script[f"""
var dataSetPage = null;
document.addEventListener('DOMContentLoaded', function() {{
dataSetPage = DataSetPage('{flask.url_for('data_sets.index_page')}',
{json.dumps({'data_set_id': data_set_id, 'query_id': query_id, 'query': flask.request.get_json()})},
15, '{config.charts_color()}');
}});
"""],
html.spinner_js_function(),
_.div(class_='col-xl-4 col-lg-6',
id='distribution-chart-template',
style='display: none')[bootstrap.card(
header_left=html.spinner(),
body=_.div(class_='chart-container google-chart')[
html.spinner()])],
_.div(
class_='modal fade', id='load-query-dialog',
tabindex="-1")[_.div(
class_='modal-dialog', role='document')[_.div(
class_='modal-content')[_.div(class_='modal-header')[
_.h5(class_='modal-title')['Load query'],
_.button(
**{
'type': "button",
'class': "close",
'data-dismiss': "modal",
'aria-label': "Close"
})[_.span(
**{'aria-hidden': 'true'})['×']]],
_.div(class_='modal-body',
id='query-list')['']]]],
_.form(
action=flask.url_for('data_sets.download_csv'),
method='post')[_.div(
class_="modal fade",
id="download-csv-dialog",
tabindex="-1"
)[_.div(class_="modal-dialog", role='document')[_.div(
class_="modal-content"
)[_.div(class_="modal-header")
[_.h5(class_='modal-title')['Download as CSV'],
_.button(
**{
'type': "button",
'class': "close",
'data-dismiss': "modal",
'aria-label': "Close"
})[_.span(
**{'aria-hidden': 'true'})['×']]],
_.div(class_="modal-body")[
'Delimiter:  ',
_.input(type="radio",
value="\t",
name="delimiter",
checked="checked"),
' tab   ',
_.input(type="radio", value=";", name="delimiter"),
' semicolon   ',
_.input(type="radio", value=",", name="delimiter"),
' comma   ', _.hr, 'Number format:  ',
_.input(type="radio",
value=".",
name="decimal-mark",
checked="checked"), ' 42.7   ',
_.input(type="radio", value=",", name="decimal-mark"),
' 42,7   ',
_.input(type="hidden", name="query")],
_.div(class_="modal-footer"
)[_.button(id="csv-download-button",
type="submit",
class_="btn btn-primary")['Download']]]]]]
],
action_buttons=action_buttons,
js_files=[
'https://www.gstatic.com/charts/loader.js',
flask.url_for('data_sets.static', filename='tagsinput.js'),
flask.url_for('data_sets.static', filename='typeahead.js'),
flask.url_for('data_sets.static', filename='data-sets.js')
],
css_files=[
flask.url_for('data_sets.static', filename='tagsinput.css'),
flask.url_for('data_sets.static', filename='data-sets.css')
])