def name_trails(dataset_id):
datastore = make_datastore(app.config['DATASTORE'])
dataset = get_dataset(datastore, dataset_id)
if not dataset:
return make_response("No Dataset Found", 404)
# Download the transformed segments file
transformed_segments_path = '{0}/opentrails/segments.geojson.zip'.format(
dataset.id)
transformed_segments_zip = datastore.read(transformed_segments_path)
# Unzip it
segments_path = unzip(transformed_segments_zip, '.geojson', [])
transformed_segments = json.load(open(segments_path))
# Generate a list of (name, ids) tuples
named_trails = make_named_trails(transformed_segments['features'])
file = StringIO()
cols = 'id', 'name', 'segment_ids', 'description', 'part_of'
writer = csv.writer(file)
writer.writerow(cols)
for row in named_trails:
writer.writerow([(row[c] or '').encode('utf8') for c in cols])
named_trails_path = '{0}/opentrails/named_trails.csv'.format(dataset.id)
datastore.write(named_trails_path, file)
return redirect('/datasets/' + dataset.id + '/named-trails', code=303)
def named_trails(dataset_id):
datastore = make_datastore(app.config['DATASTORE'])
dataset = get_dataset(datastore, dataset_id)
if not dataset:
return make_response("No Dataset Found", 404)
return render_template('dataset-04-named-trails.html', dataset=dataset)
def view_stewards(dataset_id):
datastore = make_datastore(app.config['DATASTORE'])
dataset = get_dataset(datastore, dataset_id)
if not dataset:
return make_response("No Dataset Found", 404)
return render_template('dataset-05-stewards.html', dataset=dataset)
def view_stewards(dataset_id):
datastore = make_datastore(app.config['DATASTORE'])
dataset = get_dataset(datastore, dataset_id)
if not dataset:
return make_response("No Dataset Found", 404)
return render_template('dataset-05-stewards.html', dataset=dataset)
def update_output(cl, filename, contents, year):
if cl == 0:
return html.P('')
if filename is None:
return html.P('Загрузите файл')
try:
ras = filename.split('.')[-1]
if ras != 'xlsx':
return html.P('Неправильный формат, нужен xlsx')
content_type, content_string = contents.split(",")
decoded = base64.b64decode(content_string)
df = pd.ExcelFile(io.BytesIO(decoded))
df = functions.prepare_form(df, year)
var = df[df['№'].notnull()]
nan = sum(var.iloc[:, 1:].isnull().sum().values)
df_old = functions.get_dataset()
a = len(set(df_old.columns))
b = len(set(df.columns))
if a - b == 0:
df = pd.concat([df_old, df])
df = df.drop_duplicates()
df.to_csv('dataset/result_df.csv', index=False)
if nan > 0:
return html.P(
'Файл {} принят, но в файле есть пропуски'.format(
filename))
else:
return html.P('Файл {} принят'.format(filename))
else:
raise Exception
except:
return html.P('Неправильная форма')
def buttom(cl, f1, f2, f3, f4, f5, f6, f7, f8, f9, f10, f11, f12, f13):
if cl == 0:
return html.P('', style={'color': 'red'})
else:
if all([f1, f2, f3, f4, f5, f6, f7, f8, f9, f10, f11, f12, f13]):
try:
f4, f5, f6, f7, f8, f9, f10, f11 = float(f4), float(f5), float(
f6), float(f7), float(f8), float(f9), float(f10), float(
f11)
df = pd.DataFrame([[
999, f1, f2, f3, f4, f5, f6, f7, f8, f9, f10, f11, f12, f13
]],
columns=functions.online_columns)
df['Отношение периодов, %'] = (
df['Отчетный период текущего года (В натуральном выражении)']
/
df['Отчетный период прошлого года (В натуральном выражении)']
) * 100
df['Отношение месяцев, %'] = (
df['Отчетный месяц текущего года (В натуральном выражении)']
/
df['Отчетный месяц прошлого года (В натуральном выражении)']
) * 100
df_old = functions.get_dataset()
df = pd.concat([df_old, df])
df = df.drop_duplicates()
df.to_csv('dataset/result_df.csv', index=False)
return html.P('Анкета загружена')
except:
return html.P(
'Проверьте правильность заполнения. Используйте точку для разделения дробной части'
)
else:
return html.P('Заполните все поля')
def name_trails(dataset_id):
datastore = make_datastore(app.config['DATASTORE'])
dataset = get_dataset(datastore, dataset_id)
if not dataset:
return make_response("No Dataset Found", 404)
# Download the transformed segments file
transformed_segments_path = '{0}/opentrails/segments.geojson.zip'.format(dataset.id)
transformed_segments_zip = datastore.read(transformed_segments_path)
# Unzip it
segments_path = unzip(transformed_segments_zip, '.geojson', [])
transformed_segments = json.load(open(segments_path))
# Generate a list of (name, ids) tuples
named_trails = make_named_trails(transformed_segments['features'])
file = StringIO()
cols = 'id', 'name', 'segment_ids', 'description', 'part_of'
writer = csv.writer(file)
writer.writerow(cols)
for row in named_trails:
writer.writerow([(row[c] or '').encode('utf8') for c in cols])
named_trails_path = '{0}/opentrails/named_trails.csv'.format(dataset.id)
datastore.write(named_trails_path, file)
return redirect('/datasets/' + dataset.id + '/named-trails', code=303)
def transform_trailheads(dataset_id):
'''
Grab a zip file off of datastore
Unzip it
Transform into opentrails
Upload
'''
datastore = make_datastore(app.config['DATASTORE'])
dataset = get_dataset(datastore, dataset_id)
if not dataset:
return make_response("No Dataset Found", 404)
# Download the original trailheads file
up_trailheads_name = '{0}/uploads/trail-trailheads.geojson.zip'.format(dataset.id)
up_trailheads_zip = datastore.read(up_trailheads_name)
# Unzip it
up_trailheads_path = unzip(up_trailheads_zip, '.geojson', [])
up_trailheads = json.load(open(up_trailheads_path))
messages, ot_trailheads = trailheads_transform(up_trailheads, dataset)
# Save messages for output
transform_messages_path = dataset.id + "/opentrails/trailheads-messages.json"
datastore.write(transform_messages_path, StringIO(json.dumps(messages)))
# Make a zip from transformed trailheads
ot_trailheads_zip = StringIO()
ot_trailheads_raw = json.dumps(ot_trailheads, sort_keys=True)
zip_file(ot_trailheads_zip, ot_trailheads_raw, 'trailheads.geojson')
# Upload transformed trailheads and messages
zip_path = '{0}/opentrails/trailheads.geojson.zip'.format(dataset.id)
datastore.write(zip_path, ot_trailheads_zip)
return redirect('/datasets/' + dataset.id + '/transformed-trailheads', code=303)
def named_trails(dataset_id):
datastore = make_datastore(app.config['DATASTORE'])
dataset = get_dataset(datastore, dataset_id)
if not dataset:
return make_response("No Dataset Found", 404)
return render_template('dataset-04-named-trails.html', dataset=dataset)
def existing_validation(id):
'''
'''
datastore = make_datastore(app.config['DATASTORE'])
dataset = get_dataset(datastore, id)
if not dataset:
return make_response("No dataset Found", 404)
return render_template('check-01-upload-opentrails.html', dataset=dataset)
def download_opentrails_data(dataset_id):
datastore = make_datastore(app.config['DATASTORE'])
dataset = get_dataset(datastore, dataset_id)
if not dataset:
return make_response("No Dataset Found", 404)
buffer = package_opentrails_archive(dataset)
return send_file(buffer, 'application/zip')
def existing_validation(id):
'''
'''
datastore = make_datastore(app.config['DATASTORE'])
dataset = get_dataset(datastore, id)
if not dataset:
return make_response("No dataset Found", 404)
return render_template('check-01-upload-opentrails.html', dataset=dataset)
def download_opentrails_data(dataset_id):
datastore = make_datastore(app.config['DATASTORE'])
dataset = get_dataset(datastore, dataset_id)
if not dataset:
return make_response("No Dataset Found", 404)
buffer = package_opentrails_archive(dataset)
return send_file(buffer, 'application/zip')
def get_json_dataset(request):
if request.method == 'POST':
queryset = request.POST
table = request.POST['table']
dimensions = queryset.getlist('dimensions[]')
filters = json.loads(request.POST.get('filters'))
package = 'Sales'
dataset = f.get_dataset(table, dimensions, filters)
#print(dataset)
return HttpResponse(dataset)
def validated_results(dataset_id):
'''
'''
datastore = make_datastore(app.config['DATASTORE'])
dataset = get_dataset(datastore, dataset_id)
if not dataset:
return make_response("No dataset Found", 404)
path = '{0}/opentrails/validate-messages.json'.format(dataset.id)
messages = map(tuple, json.load(datastore.read(path)))
return render_template('check-02-validated-opentrails.html', messages=messages)
def validated_results(dataset_id):
'''
'''
datastore = make_datastore(app.config['DATASTORE'])
dataset = get_dataset(datastore, dataset_id)
if not dataset:
return make_response("No dataset Found", 404)
path = '{0}/opentrails/validate-messages.json'.format(dataset.id)
messages = map(tuple, json.load(datastore.read(path)))
return render_template('check-02-validated-opentrails.html',
messages=messages)
def opex_dashboard_v2(request):
"""Renders the opex dashboard."""
assert isinstance(request, HttpRequest)
dataset = f.get_dataset("transactions",
['package', 'sub_package', 'vendor', 'gl'])
return render(
request, 'v2/opex_dashboard.html', {
'data2': dataset,
'title': 'Home Page',
'year': datetime.now().year,
'page': 'opex_dashboard_v2',
'session': f.get_session_info(request)
})
def opex_dashboard(request):
"""Renders the opex dashboard."""
assert isinstance(request, HttpRequest)
dataset = f.get_dataset("transactions",
['package', 'sub_package', 'vendor'])
return render(request,
'app/OPEX/dashboard.html',
context_instance=RequestContext(
request, {
'data2': dataset,
'title': 'Home Page',
'year': datetime.now().year,
}))
def show_sample_segment(dataset_id):
'''
Show an example row of data
'''
datastore = make_datastore(app.config['DATASTORE'])
dataset = get_dataset(datastore, dataset_id)
if not dataset:
return make_response("No dataset Found", 404)
features = get_sample_segment_features(dataset)
keys = list(sorted(features[0]['properties'].keys()))
args = dict(dataset=dataset, uploaded_features=features, uploaded_keys=keys)
return render_template("dataset-02-show-sample-segment.html", **args)
def opex_visi_dashboard(request):
"""Renders the opex dashboard."""
assert isinstance(request, HttpRequest)
dataset = f.get_dataset("transactions",
['package', 'sub_package', 'vendor', 'country'])
return render(
request, 'v2/visibility_dashboard2.html', {
'data2': dataset,
'title': 'Home Page',
'year': datetime.now().year,
'user': request.user,
'page': 'opex_visi_dashboard',
'session': f.get_session_info(request)
})
def existing_dataset(id):
'''
Reads available files on S3 to figure out how far a dataset has gotten in the process
'''
# Init some variable
# sample_segment, opentrails_sample_segment = False, False
datastore = make_datastore(app.config['DATASTORE'])
dataset = get_dataset(datastore, id)
if not dataset:
return make_response("No dataset Found", 404)
# return render_template('index.html', steward = steward, sample_segment = sample_segment, opentrails_sample_segment = opentrails_sample_segment)
return render_template('dataset-01-upload-segments.html', dataset=dataset)
def existing_dataset(id):
'''
Reads available files on S3 to figure out how far a dataset has gotten in the process
'''
# Init some variable
# sample_segment, opentrails_sample_segment = False, False
datastore = make_datastore(app.config['DATASTORE'])
dataset = get_dataset(datastore, id)
if not dataset:
return make_response("No dataset Found", 404)
# return render_template('index.html', steward = steward, sample_segment = sample_segment, opentrails_sample_segment = opentrails_sample_segment)
return render_template('dataset-01-upload-segments.html', dataset=dataset)
def show_sample_trailhead(dataset_id):
'''
Show an example row of data
'''
datastore = make_datastore(app.config['DATASTORE'])
dataset = get_dataset(datastore, dataset_id)
if not dataset:
return make_response("No dataset Found", 404)
features = get_sample_trailhead_features(dataset)
keys = list(sorted(features[0]['properties'].keys()))
args = dict(dataset=dataset,
uploaded_features=features,
uploaded_keys=keys)
return render_template("dataset-07-show-sample-trailhead.html", **args)
def create_steward(dataset_id):
datastore = make_datastore(app.config['DATASTORE'])
dataset = get_dataset(datastore, dataset_id)
if not dataset:
return make_response("No Dataset Found", 404)
steward_fields = 'name', 'id', 'url', 'phone', 'address', 'publisher', 'license'
steward_values = [request.form.get(f, None) for f in steward_fields]
steward_values[steward_fields.index('id')] = '0' # This is assigned in segments_transform()
steward_values[steward_fields.index('publisher')] = 'no' # Better safe than sorry
file = StringIO()
cols = 'id', 'name', 'segment_ids', 'description', 'part_of'
writer = csv.writer(file)
writer.writerow(steward_fields)
writer.writerow([(v or '').encode('utf8') for v in steward_values])
stewards_path = '{0}/opentrails/stewards.csv'.format(dataset.id)
datastore.write(stewards_path, file)
return redirect('/datasets/' + dataset.id + '/stewards', code=303)
def transformed_trailheads(dataset_id):
datastore = make_datastore(app.config['DATASTORE'])
dataset = get_dataset(datastore, dataset_id)
if not dataset:
return make_response("No Dataset Found", 404)
# Download the original trailheads file
uploaded_features = get_sample_trailhead_features(dataset)
uploaded_keys = list(sorted(uploaded_features[0]['properties'].keys()))
# Download the transformed trailheads file
transformed_features = get_sample_transformed_trailhead_features(dataset)
transformed_keys = list(
sorted(transformed_features[0]['properties'].keys()))
# Download the transformed trailheads messages file
messages_path = '{0}/opentrails/trailheads-messages.json'.format(
dataset.id)
data = json.load(datastore.read(messages_path))
try:
messages = [(type, id, words) for (type, id, words) in data]
except ValueError:
# Old stored format.
messages = [(type, None, words) for (type, words) in data]
message_types = [message[0] for message in messages]
vars = dict(dataset=dataset,
messages=messages,
uploaded_keys=uploaded_keys,
uploaded_features=uploaded_features,
transformed_features=transformed_features,
transformed_keys=transformed_keys,
transform_succeeded=bool('error' not in message_types))
return render_template('dataset-08-transformed-trailheads.html', **vars)
def transform_trailheads(dataset_id):
'''
Grab a zip file off of datastore
Unzip it
Transform into opentrails
Upload
'''
datastore = make_datastore(app.config['DATASTORE'])
dataset = get_dataset(datastore, dataset_id)
if not dataset:
return make_response("No Dataset Found", 404)
# Download the original trailheads file
up_trailheads_name = '{0}/uploads/trail-trailheads.geojson.zip'.format(
dataset.id)
up_trailheads_zip = datastore.read(up_trailheads_name)
# Unzip it
up_trailheads_path = unzip(up_trailheads_zip, '.geojson', [])
up_trailheads = json.load(open(up_trailheads_path))
messages, ot_trailheads = trailheads_transform(up_trailheads, dataset)
# Save messages for output
transform_messages_path = dataset.id + "/opentrails/trailheads-messages.json"
datastore.write(transform_messages_path, StringIO(json.dumps(messages)))
# Make a zip from transformed trailheads
ot_trailheads_zip = StringIO()
ot_trailheads_raw = json.dumps(ot_trailheads, sort_keys=True)
zip_file(ot_trailheads_zip, ot_trailheads_raw, 'trailheads.geojson')
# Upload transformed trailheads and messages
zip_path = '{0}/opentrails/trailheads.geojson.zip'.format(dataset.id)
datastore.write(zip_path, ot_trailheads_zip)
return redirect('/datasets/' + dataset.id + '/transformed-trailheads',
code=303)
def transformed_trailheads(dataset_id):
datastore = make_datastore(app.config['DATASTORE'])
dataset = get_dataset(datastore, dataset_id)
if not dataset:
return make_response("No Dataset Found", 404)
# Download the original trailheads file
uploaded_features = get_sample_trailhead_features(dataset)
uploaded_keys = list(sorted(uploaded_features[0]['properties'].keys()))
# Download the transformed trailheads file
transformed_features = get_sample_transformed_trailhead_features(dataset)
transformed_keys = list(sorted(transformed_features[0]['properties'].keys()))
# Download the transformed trailheads messages file
messages_path = '{0}/opentrails/trailheads-messages.json'.format(dataset.id)
data = json.load(datastore.read(messages_path))
try:
messages = [(type, id, words) for (type, id, words) in data]
except ValueError:
# Old stored format.
messages = [(type, None, words) for (type, words) in data]
message_types = [message[0] for message in messages]
vars = dict(
dataset = dataset,
messages = messages,
uploaded_keys = uploaded_keys,
uploaded_features = uploaded_features,
transformed_features = transformed_features,
transformed_keys = transformed_keys,
transform_succeeded = bool('error' not in message_types)
)
return render_template('dataset-08-transformed-trailheads.html', **vars)
def create_steward(dataset_id):
datastore = make_datastore(app.config['DATASTORE'])
dataset = get_dataset(datastore, dataset_id)
if not dataset:
return make_response("No Dataset Found", 404)
steward_fields = 'name', 'id', 'url', 'phone', 'address', 'publisher', 'license'
steward_values = [request.form.get(f, None) for f in steward_fields]
steward_values[steward_fields.index(
'id')] = '0' # This is assigned in segments_transform()
steward_values[steward_fields.index(
'publisher')] = 'no' # Better safe than sorry
file = StringIO()
cols = 'id', 'name', 'segment_ids', 'description', 'part_of'
writer = csv.writer(file)
writer.writerow(steward_fields)
writer.writerow([(v or '').encode('utf8') for v in steward_values])
stewards_path = '{0}/opentrails/stewards.csv'.format(dataset.id)
datastore.write(stewards_path, file)
return redirect('/datasets/' + dataset.id + '/stewards', code=303)
def render_content(tab):
if tab == 'tab-1':
return html.Div([
html.H3(const.about_us,
style={
'width': '45%',
'padding': '0 0 0 20px',
'display': 'inline-block',
'vertical-align': 'top',
'font-size': '20px',
'color': 'white'
}),
html.Div(html.Img(src=app.get_asset_url('scale_1200.webp'),
style={'width': '95%'}),
style={
'width': '45%',
'height': '40px',
'display': 'inline-block',
'vertical-align': 'top',
'padding': '20px'
})
])
elif tab == 'tab-2':
return html.Div(
[
#1 pic
html.Div([
html.Div([
html.
H3('Объемы производства предприятий РБ в натуральном выражении',
style=const.tab2_h),
html.Label('Выберите месяц (один и более)',
style=const.tab2_label),
html.Div(dcc.Checklist(
id='pic1-month',
options=const.tab2_months,
value=['январь'],
labelStyle=const.tab2_checklist,
),
style=const.tab2_div_check),
html.Label('Тип отчетного периода',
style=const.tab2_label),
html.Div(dcc.Dropdown(
id='pic1-period',
options=const.tab2_periods,
value=
'Отчетный период прошлого года (В натуральном выражении)',
style=const.tab2_drop),
style=const.tab2_div_drop),
html.Label('Год', style=const.tab2_label),
html.Div(dcc.Dropdown(id="pic1-year",
options=const.tab2_years,
value=2020,
style=const.tab2_drop),
style=const.tab2_div_drop)
],
style=const.tab2_left),
html.Div(dcc.Graph(
id='pic1',
figure=functions.pic1([
'январь'
], functions.get_dataset(
), 'Отчетный месяц прошлого года (В натуральном выражении)',
2020),
style=const.tab2_graph),
style=const.tab2_right)
],
style=const.tab2_each_block),
#2 pic
html.Div([
html.Div([
html.H3('Индекс промышленного производства',
style=const.tab2_h),
html.Label('Отношение', style=const.tab2_label),
html.Div(dcc.Dropdown(
id="pic2-relat",
options=[{
'label': 'Отношение периодов, %',
'value': 'Отношение периодов, %'
}, {
'label': 'Отношение месяцев, %',
'value': 'Отношение месяцев, %'
}],
value='Отношение периодов, %',
style=const.tab2_drop),
style=const.tab2_div_drop),
html.Label('Выберите года', style=const.tab2_label),
html.Div(dcc.Checklist(
id='pic2-years',
options=const.tab2_years,
value=[2020],
labelStyle=const.tab2_checklist,
),
style=const.tab2_div_check),
html.Label('Выберите предприятие',
style=const.tab2_label),
html.Div(dcc.Dropdown(id="pic2-slider",
options=functions.get_man(
functions.get_dataset()),
value=functions.man_value(),
style=const.tab2_drop),
style=const.tab2_div_drop)
],
style=const.tab2_left),
html.Div(
dcc.Graph(id='pic2',
figure=functions.pic2(
functions.get_dataset(), 'Предприятие 1',
'Отношение периодов, %', [2020]),
style=const.tab2_graph),
style=const.tab2_right)
],
style=const.tab2_each_block),
#3 pic
html.Div([
html.Div([
html.H3('Индекс промышленного производства',
style=const.tab2_h),
html.Label('Тип отчетного периода',
style=const.tab2_label),
html.Div(dcc.Dropdown(
id='pic3-period',
options=const.tab2_periods,
value=
'Отчетный период прошлого года (В натуральном выражении)',
style=const.tab2_drop),
style=const.tab2_div_drop),
html.Label('Выберите года', style=const.tab2_label),
html.Div(dcc.Checklist(
id='pic3-years',
options=const.tab2_years,
value=[2020],
labelStyle=const.tab2_checklist,
),
style=const.tab2_div_check),
html.Label('Вид деятельности/ОКВЭД',
style=const.tab2_label),
html.Div(dcc.Dropdown(
id="pic3-stat",
options=[{
'label': 'Вид деятельности',
'value': 'Вид деятельности'
}, {
'label': 'ОКВЭД',
'value': 'ОКВЭД'
}],
value='Вид деятельности',
style=const.tab2_drop),
style=const.tab2_div_drop),
],
style=const.tab2_left),
html.Div(dcc.Graph(
id='pic3',
figure=functions.pic3(
functions.get_dataset(), [2020],
'Отчетный период прошлого года (В натуральном выражении)',
'Вид деятельности'),
style=const.tab2_graph),
style=const.tab2_right)
],
style=const.tab2_each_block),
#4 pic
html.Div([
html.Div([
html.H3('Индекс промышленного производства',
style=const.tab2_h),
html.Label('Тип отчетного периода',
style=const.tab2_label),
html.Div(dcc.Dropdown(
id='pic4-period',
options=const.tab2_periods,
value=
'Отчетный период прошлого года (В натуральном выражении)',
style=const.tab2_drop),
style=const.tab2_div_drop),
html.Label('Месяца (один и более)',
style=const.tab2_label),
html.Div(dcc.Checklist(
id='pic4-month',
options=const.tab2_months,
value=['январь'],
labelStyle=const.tab2_checklist,
),
style=const.tab2_div_check),
html.Label('Вид деятельности/ОКВЭД',
style=const.tab2_label),
html.Div(dcc.Dropdown(
id="pic4-stat",
options=[{
'label': 'Вид деятельности',
'value': 'Вид деятельности'
}, {
'label': 'ОКВЭД',
'value': 'ОКВЭД'
}],
value='Вид деятельности',
style=const.tab2_drop),
style=const.tab2_div_drop),
],
style=const.tab2_left),
html.Div(dcc.Graph(
id='pic4',
figure=functions.pic3(
functions.get_dataset(), [2020],
'Отчетный период прошлого года (В натуральном выражении)',
'Вид деятельности'),
style=const.tab2_graph),
style=const.tab2_right)
],
style=const.tab2_each_block),
# 5 pic
html.Div([
html.Div([
html.H3(
'Индекс промышленного производства по регионам',
style=const.tab2_h),
html.Label('Выберите регион (один и более)',
style=const.tab2_label),
html.Div(dcc.Checklist(
id='rosstat-reg',
options=const.tab2_rosstat_reg,
value=[
'Республика Башкортостан',
'Республика Татарстан'
],
labelStyle=const.tab2_checklist,
),
style=const.tab2_div_check),
html.Label('Выберите ОКВЭД', style=const.tab2_label),
html.Div(dcc.Dropdown(
id="rosstat-man-type",
options=const.tab2_rosstat_man,
value='Обрабатывающие производства',
style=const.tab2_drop),
style=const.tab2_div_drop)
],
style=const.tab2_left),
html.Div(dcc.Graph(
id='pic5',
figure=functions.pic5(df_rosstat, [
'Республика Башкортостан', 'Республика Татарстан'
], 'Обрабатывающие производства'),
style=const.tab2_graph),
style=const.tab2_right)
],
style=const.tab2_each_block),
# 7 pic
html.Div([
html.Div([html.H3('Тепловая карта', style=const.tab2_h)],
style=const.tab2_left),
html.Div(dcc.Graph(
id='pic7', figure=fig7, style=const.tab2_graph),
style=const.tab2_each_block)
],
style=const.tab2_each_block)
],
style=const.tab2_each_block)
elif tab == 'tab-3':
return html.Div(
[
html.Div([
html.H3('Онлайн форма', style=const.tab3_h),
html.
H3('На этой странице, каждое предприятие может подать отчет онлайн, заполнив форму',
style=const.tab3_label)
],
style=const.tab3_each_block),
# 1 half
html.Div([
html.Label('Наименование предприятия',
style=const.tab3_label_form),
html.Div(dcc.Input(id="f1",
placeholder="Наименование предприятия",
style=const.tab3_drop),
style=const.tab3_div_drop),
html.Label('Выберите ОКВЭД', style=const.tab3_label_form),
html.Div(dcc.Dropdown(id="f2",
options=const.tab2_rosstat_man,
value='Обрабатывающие производства',
style=const.tab3_drop),
style=const.tab3_div_drop),
html.Label('Выберите вид деятельности',
style=const.tab3_label_form),
html.Div(dcc.Dropdown(
id="f3",
options=functions.get_label_activity(),
value=functions.get_label_activity()[0]['value'],
style=const.tab3_drop),
style=const.tab3_div_drop),
html.Label(
'Отчетный период прошлого года (В натуральном выражении)',
style=const.tab3_label_form),
html.Div(dcc.Input(
id="f4",
placeholder=
"Отчетный период прошлого года (В натуральном выражении)",
style=const.tab3_drop),
style=const.tab3_div_drop),
html.Label(
'Отчетный период прошлого года (В стоимостном выражении)',
style=const.tab3_label_form),
html.Div(dcc.Input(
id="f5",
placeholder=
"Отчетный период прошлого года (В стоимостном выражении)",
style=const.tab3_drop),
style=const.tab3_div_drop),
html.Label(
'Отчетный период текущего года (В натуральном выражении)',
style=const.tab3_label_form),
html.Div(dcc.Input(
id="f6",
placeholder=
"Отчетный период текущего года (В натуральном выражении)",
style=const.tab3_drop),
style=const.tab3_div_drop),
html.Label(
'Отчетный период текущего года (В стоимостном выражении)',
style=const.tab3_label_form),
html.Div(dcc.Input(
id="f7",
placeholder=
"Отчетный период текущего года (В стоимостном выражении)",
style=const.tab3_drop),
style=const.tab3_div_drop),
],
style=const.tab3_half),
# 2 half
html.Div([
html.Label(
'Отчетный месяц прошлого года (В натуральном выражении)',
style=const.tab3_label_form),
html.Div(dcc.Input(
id="f8",
placeholder=
"Отчетный месяц прошлого года (В натуральном выражении)",
style=const.tab3_drop),
style=const.tab3_div_drop),
html.Label(
'Отчетный месяц прошлого года (В стоимостном выражении)',
style=const.tab3_label_form),
html.Div(dcc.Input(
id="f9",
placeholder=
"Отчетный месяц прошлого года (В стоимостном выражении)",
style=const.tab3_drop),
style=const.tab3_div_drop),
html.Label(
'Отчетный месяц текущего года (В натуральном выражении)',
style=const.tab3_label_form),
html.Div(dcc.Input(
id="f10",
placeholder=
"Отчетный месяц текущего года (В натуральном выражении)",
style=const.tab3_drop),
style=const.tab3_div_drop),
html.Label(
'Отчетный месяц текущего года (В стоимостном выражении)',
style=const.tab3_label_form),
html.Div(dcc.Input(
id="f11",
placeholder=
"Отчетный месяц текущего года (В стоимостном выражении)",
style=const.tab3_drop),
style=const.tab3_div_drop),
html.Label('Месяц', style=const.tab3_label_form),
html.Div(dcc.Dropdown(id="f12",
options=const.tab2_months,
value='январь',
style=const.tab3_drop),
style=const.tab3_div_drop),
html.Label('Год', style=const.tab3_label_form),
html.Div(dcc.Dropdown(id="f13",
options=const.tab2_years,
value=2020,
style=const.tab3_drop),
style=const.tab3_div_drop),
html.Div(html.Button('Подать форму',
id='fsubmit',
n_clicks=0,
style=const.button),
style=const.tab3_button),
html.Div(id='f14', style=const.alert)
],
style=const.tab3_half)
],
style=const.tab3_each_block)
elif tab == 'tab-4':
return html.Div([
html.Div([
html.H3('Форма загрузки файла', style=const.tab4_h),
html.H3(
'Страница для загрузки данных по форме 36 в формате xlsx',
style=const.tab4_label),
html.Label('Выберите год', style=const.tab4_label_form),
html.Div(dcc.Dropdown(id="tab4-f0",
options=const.tab2_years,
value=2020,
style=const.tab4_drop),
style=const.tab4_div_drop),
dcc.Upload(id='upload-data',
children=html.Div(
['Перетащите или ',
html.A('выберите файл')],
style=const.tab4_drop),
style=const.tab4_div_drop,
multiple=False),
html.Div(id='tab4-output1', style=const.alert),
html.Div(html.Button('Отправить файл',
id='tab4-fsubmit',
n_clicks=0,
style=const.button),
style=const.tab4_button),
html.Div(id='tab4-output2', style=const.alert),
],
style=const.tab4_half_l),
html.Div([
html.Div([
html.H3('Анализ предприятий с пустыми значениями в отчете',
style=const.tab4_h),
html.Div(html.Label('Выберите месяц (один и более)',
style=const.tab4_label),
style={
'width': '35%',
'display': 'inline-block',
'textAlign': 'center',
'vertical-align': 'top'
}),
html.Div(html.Label('Выберите года',
style=const.tab4_label),
style={
'width': '33%',
'display': 'inline-block',
'textAlign': 'center',
'vertical-align': 'top'
}),
html.Div(html.Label('Количество', style=const.tab4_label),
style={
'width': '31%',
'display': 'inline-block',
'textAlign': 'center',
'vertical-align': 'top'
}),
html.Div(html.Div(dcc.Checklist(
id='tab4-f1',
options=const.tab2_months,
value=['январь'],
labelStyle=const.tab4_checklist,
),
style=const.tab4_div_check),
style={
'width': '35%',
'display': 'inline-block',
'textAlign': 'center',
'vertical-align': 'top'
}),
html.Div(html.Div(dcc.Checklist(
id='tab4-f2',
options=const.tab2_years,
value=[2020],
labelStyle=const.tab4_checklist,
),
style=const.tab4_div_check),
style={
'width': '33%',
'display': 'inline-block',
'textAlign': 'center',
'vertical-align': 'top'
}),
html.Div(html.Div(dcc.RadioItems(
id='tab4-f3',
options=[
{
'label': 'Количество nan',
'value': True
},
{
'label': 'Отчеты с nan',
'value': False
},
],
value=True,
labelStyle={
'width': '100%',
'textAlign': 'left',
'display': 'inline-block',
'color': 'white',
'font-size': '18px',
'vertical-align': 'top'
},
),
style=const.tab4_div_check),
style={
'width': '31%',
'display': 'inline-block',
'textAlign': 'center',
'vertical-align': 'top'
}),
],
style=const.tab4_each_block),
html.Div(
dcc.Graph(
id='pic6',
figure=functions.pic6(functions.get_dataset(),
['январь', 'февраль'], [2020],
each=True),
style=const.tab2_graph))
],
style=const.tab4_half_r),
],
style=const.tab4_each_block)
def update_charts2(man, relat, years):
return functions.pic2(functions.get_dataset(), man, relat, years)
def update_charts3(years, period, stat):
return functions.pic3(functions.get_dataset(), years, period, stat)
def update_charts4(months, period, stat):
return functions.pic4(functions.get_dataset(), months, period, stat)
def update_charts6(months, years, each):
return functions.pic6(functions.get_dataset(), months, years, each=each)
def update_charts1(months, period, year):
return functions.pic1(months, functions.get_dataset(), period, year)
