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feat: add GA script #53

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feat: add GA script #53

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41 changes: 27 additions & 14 deletions app.py
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Original file line number Diff line number Diff line change
Expand Up @@ -18,11 +18,9 @@
import update_data



logging.basicConfig(level=logging.INFO)



def main():
streamlit.title("DeRisk")

Expand Down Expand Up @@ -93,7 +91,8 @@ def main():
if histogram_data.empty:
histogram_data = protocol_histogram_data
else:
histogram_data = pandas.concat([histogram_data, protocol_histogram_data])
histogram_data = pandas.concat(
[histogram_data, protocol_histogram_data])
if loans_data.empty:
loans_data = protocol_loans_data
else:
Expand All @@ -108,9 +107,11 @@ def main():
)
streamlit.plotly_chart(figure_or_data=figure, use_container_width=True)

collateral_token_price = src.swap_amm.Prices().prices.values[collateral_token]
collateral_token_price = src.swap_amm.Prices(
).prices.values[collateral_token]
example_row = main_chart_data[
main_chart_data['collateral_token_price'] > decimal.Decimal("0.5") * collateral_token_price
main_chart_data['collateral_token_price'] > decimal.Decimal(
"0.5") * collateral_token_price
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why are you splitting the lines? they are not that long?

].sort_values('collateral_token_price').iloc[0]

def _get_risk_level(debt_to_supply_ratio: float) -> str:
Expand All @@ -122,11 +123,12 @@ def _get_risk_level(debt_to_supply_ratio: float) -> str:
'high'
return 'very high'

debt_to_supply_ratio = example_row['liquidable_debt_at_interval'] / example_row['debt_token_supply']
debt_to_supply_ratio = example_row['liquidable_debt_at_interval'] / \
example_row['debt_token_supply']
streamlit.subheader(
f":warning: At price of {int(example_row['collateral_token_price']):,}, the risk of acquiring bad debt for "
f"lending protocols is {_get_risk_level(debt_to_supply_ratio)}."
)
)
streamlit.write(
f"The ratio of liquidated debt to available supply is {round(debt_to_supply_ratio * 100)}%.Debt worth of "
f"{int(example_row['liquidable_debt_at_interval']):,} USD will be liquidated while the AMM swaps capacity "
Expand All @@ -151,11 +153,16 @@ def _get_risk_level(debt_to_supply_ratio: float) -> str:
)

streamlit.header("Comparison of lending protocols")
streamlit.dataframe(pandas.read_parquet(f"gs://{src.helpers.GS_BUCKET_NAME}/data/general_stats.parquet"))
streamlit.dataframe(pandas.read_parquet(f"gs://{src.helpers.GS_BUCKET_NAME}/data/utilization_stats.parquet"))
supply_stats = pandas.read_parquet(f"gs://{src.helpers.GS_BUCKET_NAME}/data/supply_stats.parquet")
collateral_stats = pandas.read_parquet(f"gs://{src.helpers.GS_BUCKET_NAME}/data/collateral_stats.parquet")
debt_stats = pandas.read_parquet(f"gs://{src.helpers.GS_BUCKET_NAME}/data/debt_stats.parquet")
streamlit.dataframe(pandas.read_parquet(
f"gs://{src.helpers.GS_BUCKET_NAME}/data/general_stats.parquet"))
streamlit.dataframe(pandas.read_parquet(
f"gs://{src.helpers.GS_BUCKET_NAME}/data/utilization_stats.parquet"))
supply_stats = pandas.read_parquet(
f"gs://{src.helpers.GS_BUCKET_NAME}/data/supply_stats.parquet")
collateral_stats = pandas.read_parquet(
f"gs://{src.helpers.GS_BUCKET_NAME}/data/collateral_stats.parquet")
debt_stats = pandas.read_parquet(
f"gs://{src.helpers.GS_BUCKET_NAME}/data/debt_stats.parquet")

columns = streamlit.columns(6)
for column, token in zip(columns, src.settings.TOKEN_SETTINGS.keys()):
Expand Down Expand Up @@ -188,11 +195,13 @@ def _get_risk_level(debt_to_supply_ratio: float) -> str:
streamlit.header("Loan size distribution")
src.histogram.visualization(data=histogram_data)

last_update = src.persistent_state.load_pickle(path=src.persistent_state.LAST_UPDATE_FILENAME)
last_update = src.persistent_state.load_pickle(
path=src.persistent_state.LAST_UPDATE_FILENAME)
last_timestamp = last_update["timestamp"]
last_block_number = last_update["block_number"]
date_str = datetime.datetime.utcfromtimestamp(int(last_timestamp))
streamlit.write(f"Last updated {date_str} UTC, last block: {last_block_number}.")
streamlit.write(
f"Last updated {date_str} UTC, last block: {last_block_number}.")


if __name__ == "__main__":
Expand All @@ -201,6 +210,10 @@ def _get_risk_level(debt_to_supply_ratio: float) -> str:
page_title="DeRisk by Carmine Finance",
page_icon="https://carmine.finance/assets/logo.svg",
)
# Append Google Analytics script
with open("src/analytics.html", "r", encoding="utf-8") as f:
analytics_html = f.read()
streamlit.markdown(analytics_html, unsafe_allow_html=True)

if os.environ.get("UPDATE_RUNNING") is None:
os.environ["UPDATE_RUNNING"] = "True"
Expand Down
9 changes: 9 additions & 0 deletions src/analytics.html
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Original file line number Diff line number Diff line change
@@ -0,0 +1,9 @@
<!-- Google tag (gtag.js) -->
<script async src="https://www.googletagmanager.com/gtag/js?id=G-BFQKNJ61QM"></script>
<script>
window.dataLayer = window.dataLayer || [];
function gtag() { dataLayer.push(arguments); }
gtag('js', new Date());

gtag('config', 'G-BFQKNJ61QM');
</script>