I have an anaconda panel application, this works perfectly in the local environment, but when trying to deploy it with Google App Engine it's giving me errors.
this is the actual source location I modified this to the following
app.yaml
runtime: python
env: flex
entrypoint: panel serve app.py --address 0.0.0.0 --port 8080 --allow-websocket-origin="*"
runtime_config:
python_version: 3.7
manual_scaling:
instances: 1
resources:
cpu: 1
memory_gb: 0.5
disk_size_gb: 10
app.py
import hvplot.pandas
import pandas as pd
import numpy as np
import panel as pn
pn.extension('tabulator')
# cache data to improve dashboard performance
if 'data' not in pn.state.cache.keys():
df = pd.read_csv(
'https://raw.githubusercontent.com/owid/co2-data/master/owid-co2-data.csv')
pn.state.cache['data'] = df.copy()
else:
df = pn.state.cache['data']
# Fill NAs with 0s and create GDP per capita column
df = df.fillna(0)
df['gdp_per_capita'] = np.where(
df['population'] != 0, df['gdp'] / df['population'], 0)
# Make DataFrame Pipeline Interactive
idf = df.interactive()
# Define Panel widgets
year_slider = pn.widgets.IntSlider(
name='Year slider', start=1750, end=2020, step=5, value=1850)
year_slider
# Radio buttons for CO2 measures
yaxis_co2 = pn.widgets.RadioButtonGroup(
name='Y axis',
options=['co2', 'co2_per_capita', ],
button_type='success'
)
continents = ['World', 'Asia', 'Oceania', 'Europe',
'Africa', 'North America', 'South America', 'Antarctica']
co2_pipeline = (
idf[
(idf.year <= year_slider) &
(idf.country.isin(continents))
]
.groupby(['country', 'year'])[yaxis_co2].mean()
.to_frame()
.reset_index()
.sort_values(by='year')
.reset_index(drop=True)
)
co2_plot = co2_pipeline.hvplot(
x='year', by='country', y=yaxis_co2, line_width=2, title="CO2 emission by continent")
co2_table = co2_pipeline.pipe(
pn.widgets.Tabulator, pagination='remote', page_size=10, sizing_mode='stretch_width')
co2_vs_gdp_scatterplot_pipeline = (
idf[
(idf.year == year_slider) &
(~ (idf.country.isin(continents)))
]
.groupby(['country', 'year', 'gdp_per_capita'])['co2'].mean()
.to_frame()
.reset_index()
.sort_values(by='year')
.reset_index(drop=True)
)
co2_vs_gdp_scatterplot = co2_vs_gdp_scatterplot_pipeline.hvplot(x='gdp_per_capita',
y='co2',
by='country',
size=80, kind="scatter",
alpha=0.7,
legend=False,
height=500,
width=500)
yaxis_co2_source = pn.widgets.RadioButtonGroup(
name='Y axis',
options=['coal_co2', 'oil_co2', 'gas_co2'],
button_type='success'
)
continents_excl_world = ['Asia', 'Oceania', 'Europe',
'Africa', 'North America', 'South America', 'Antarctica']
co2_source_bar_pipeline = (
idf[
(idf.year == year_slider) &
(idf.country.isin(continents_excl_world))
]
.groupby(['year', 'country'])[yaxis_co2_source].sum()
.to_frame()
.reset_index()
.sort_values(by='year')
.reset_index(drop=True)
)
co2_source_bar_plot = co2_source_bar_pipeline.hvplot(kind='bar',
x='country',
y=yaxis_co2_source,
title='CO2 source by continent')
# Layout using Template
template = pn.template.FastListTemplate(
title='World CO2 emission dashboard',
sidebar=[pn.pane.Markdown("# CO2 Emissions and Climate Change"),
pn.pane.Markdown("#### Carbon dioxide emissions are the primary driver of global climate change. It’s widely recognised that to avoid the worst impacts of climate change, the world needs to urgently reduce emissions. But, how this responsibility is shared between regions, countries, and individuals has been an endless point of contention in international discussions."),
pn.pane.PNG('climate_day.png', sizing_mode='scale_both'),
pn.pane.Markdown("## Settings"),
year_slider],
main=[pn.Row(pn.Column(yaxis_co2,
co2_plot.panel(width=700), margin=(0, 25)),
co2_table.panel(width=500)),
pn.Row(pn.Column(co2_vs_gdp_scatterplot.panel(width=600), margin=(0, 25)),
pn.Column(yaxis_co2_source, co2_source_bar_plot.panel(width=600)))],
accent_base_color="#88d8b0",
header_background="#88d8b0",
)
# template.show()
template.servable()
Once I run gcloud app deploy this error came:
Then I downgraded in requirements.txt
panel==0.12.0
bokeh==2.3.3
hvplot==0.7.2
aiohttp==3.8.1
aiosignal==1.2.0
async-timeout==4.0.2
attrs==21.4.0
backports.entry-points-selectable==1.1.1
base58==2.1.1
bitarray==1.2.2
cached-property==1.5.2
certifi==2021.10.8
charset-normalizer==2.0.10
click==8.0.3
colorama==0.4.4
commonmark==0.9.1
cytoolz==0.11.2
distlib==0.3.4
eth-abi==2.1.1
eth-account==0.5.7
eth-hash==0.3.2
eth-keyfile==0.5.1
eth-keys==0.3.4
eth-rlp==0.2.1
eth-typing==2.3.0
eth-utils==1.10.0
filelock==3.4.0
frozenlist==1.2.0
haralyzer==2.0.0
hexbytes==0.2.2
idna==3.3
ipfshttpclient==0.8.0a2
jsonschema==3.2.0
lru-dict==1.1.7
multiaddr==0.0.9
multidict==5.2.0
netaddr==0.8.0
numpy==1.21.6
pandas==1.3.5
parsimonious==0.8.1
pipenv==2021.11.23
pipenv-poetry-migrate==0.2.0
platformdirs==2.4.0
polygonscan-python==1.0.2
protobuf==3.19.4
pycryptodome==3.13.0
Pygments==2.11.2
pyrsistent==0.18.1
python-dateutil==2.8.2
python-dotenv==0.20.0
pytz==2022.1
requests==2.27.1
rich==9.13.0
rlp==2.0.1
six==1.16.0
tomlkit==0.10.1
toolz==0.11.2
typing-extensions==3.10.0.2
uniswap-python==0.5.5
urllib3==1.26.8
varint==1.0.2
virtualenv==20.10.0
virtualenv-clone==0.5.7
web3==5.26.0
websockets==9.1
yarl==1.7.2
Then ended up with not available polygonscan-python==1.0.2
Is there any way to upload these packages into Google Cloud, without downloading like this, how to solve this?