Fixes

README.md

@@ -8,7 +8,7 @@ The easiest way to get started is to use the docker image. This will give you a
 
 ```shell
 
-docker-compose up --build
+docker-compose up -d
 
 ```
 
@@ -39,7 +39,7 @@ pip install -r requirements.txt
 After which you can start neptyne with:
 
 ```shell
-python server/application.py
+PYTHONPATH=. python server/application.py
 ```
 
 ## Using Neptyne with Google Sheets

docker-compose.yml

@@ -1,14 +1,11 @@
 version: '3.8'
 
 services:
-  app:
-    build:
-      context: .
-      dockerfile: Dockerfile
+  neptyne:
+    image: neptyne/neptyne:latest
     ports:
       - "8877:8877"
     volumes:
       - ./db:/db
     command: ["python", "server/application.py", "--sqlite-db", "/db/sqlite.db"]
-  neptyne:
-    image: neptyne/neptyne:latest
+

neptyne_kernel/neptyne_api/geo.py

@@ -2,7 +2,6 @@
 from typing import Any, Callable
 
 import geopandas
-import geoplot
 import numpy as np
 import pyproj
 from folium import GeoJson
@@ -86,6 +85,8 @@ def dataset(name_or_url: str) -> GeoDataFrame:
     """Returns a sample dataset given a name or url.
 
     Named datasets are taken from geopandas.datasets, geoplot.datasets and geodatasets.
+    geoplot is not by default installed, so you need to set it up if you want to depend
+    on that.
 
     Example:
         =geo.dataset("naturalearth_lowres")
@@ -97,6 +98,7 @@ def dataset(name_or_url: str) -> GeoDataFrame:
         if name_or_url in geopandas.datasets.available:
             path = geopandas.datasets.get_path(name_or_url)
         else:
+            import geoplot
             try:
                 path = geoplot.datasets.get_path(name_or_url)
             except ValueError:

requirements.in

@@ -1,29 +1,55 @@
 aiocontextvars
 alembic
+altair
 anthropic
 appnope
+bahttext
 beautifulsoup4
 black
+bokeh
+calweek
 contextvars
+croniter
+db-dtypes
+descartes
+fastavro
+feedparser # ** data.py
 fire
+folium # ** geo.py
 gcloud-aio-storage
-geopandas
+geodatasets # ** geo.py
+geopandas # ** geo.py
+geopy
 google-api-python-client
 google-auth-httplib2
 google-cloud-aiplatform
+google-cloud-bigquery # ** data.py
+google-cloud-bigquery-storage # ** data.py
+google-generativeai
+graphlib
 gspread
 gspread_asyncio
 gspread_formatting
 html2text
+html5lib
 httpx
+iexfinance # ** data.py
 ipykernel~=6.13.0
 ipython~=8.3.0
 isort
+isoweek
+jaconv
+json-fix
 jupyter_client
 kaleido
 kubernetes_asyncio
 libcst
+lxml # ** web.py
 lxml_html_clean
+mapboxgl
+mapclassify
+markdown
+matplotlib
 MonkeyType
 mypy
 nbformat
@@ -55,17 +81,26 @@ pytest-snapshot
 pytest-timeout
 python-dateutil
 python-dotenv
+pyxirr
+pyxirr>=0.10.5
+qrcode
 readability-lxml
 requests
+roman
 ruff
 scikit-learn
+scipy
+seaborn
 stack-data
+statsmodels
 streamlit
+streamlit>=1.36.0
 tabulate
 tiktoken
 tokenize_rt
 tornado
 tornado-sqlalchemy
+tweepy
 types-croniter
 types-Markdown
 types-paramiko