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import re | |
import leafmap.maplibregl as leafmap | |
import pandas as pd | |
import streamlit as st | |
from ibis import _ | |
def execute_prompt(con, chain, prompt): | |
response = chain.invoke({"question": prompt}) | |
st.write(response) | |
gdf = as_geopandas(con, response) | |
if len(gdf) == 0: | |
st.write("No results found.") | |
return | |
if 'geometry' in gdf.columns: | |
m = leafmap.Map() | |
m.add_gdf(gdf) | |
m.to_streamlit() | |
else: | |
gdf.drop(columns=['geometry', 'bbox', 'bbox.minx', 'bbox.maxx', 'bbox.miny', 'bbox.maxy'], errors='ignore', inplace=True) | |
st.dataframe(pd.DataFrame(gdf), column_config={ | |
"area": st.column_config.NumberColumn("Area (ha)", format="%.5f"), | |
"perimeter": st.column_config.NumberColumn("Perimeter (m)", format="%.3f"), | |
"determination_datetime": st.column_config.DatetimeColumn("Determination Date"), | |
}) | |
def as_geopandas(con, response): | |
response = re.sub(";$", "", response) | |
sql_query = f"CREATE OR REPLACE VIEW testing AS ({response})" | |
con.raw_sql(sql_query) | |
gdf = con.table("testing") | |
if 'geometry' in gdf.columns: | |
gdf = (gdf | |
.cast({"geometry": "geometry"}) | |
# .mutate(geometry = _.geometry.convert("EPSG:4326", "EPSG:4326")) | |
.to_pandas() | |
).set_crs(epsg=4326, inplace=True) | |
else: | |
gdf = gdf.to_pandas() | |
for col in gdf.columns: | |
dtype = str(gdf[col].dtype) | |
if dtype.startswith("datetime64"): | |
gdf[col] = gdf[col].astype(str) | |
return gdf | |