Trim down the requirements.txt file

requirements.txt

@@ -1,140 +1,31 @@
-aiohttp==3.9.1
-aiosignal==1.3.1
-ansi2html==1.9.1
-appnope==0.1.4
-astroid==3.0.2
-asttokens==2.4.1
-async-timeout==4.0.3
-attrs==23.2.0
-autopep8==2.0.4
-backcall==0.2.0
-beautifulsoup4==4.12.3
-bleach==6.1.0
-blinker==1.7.0
-certifi==2023.11.17
-chardet==5.2.0
-charset-normalizer==3.3.2
-click==8.1.7
-cssselect==1.2.0
-dash==2.14.2
+blinker==1.9.0
+certifi==2025.1.31
+charset-normalizer==3.4.1
+click==8.1.8
+dash==2.18.2
 dash-core-components==2.0.0
 dash-html-components==2.0.0
-dash-mantine-components==0.12.1
 dash-table==5.0.0
-decorator==5.1.1
-defusedxml==0.7.1
-dicttoxml==1.7.16
-dill==0.3.7
-docopt==0.6.2
-docutils==0.20.1
-exceptiongroup==1.2.0
-executing==2.0.1
-fastjsonschema==2.19.1
-Flask==3.0.0
-frozenlist==1.4.1
-future==0.18.3
-geocoder==1.38.1
-geoip2==4.8.0
-h11==0.14.0
-idna==3.6
-importlib-metadata==7.0.1
-iniconfig==2.0.0
-ip2geotools==0.1.6
-IP2Location==8.10.2
-ipython==8.12.3
-isort==5.13.2
-itsdangerous==2.1.2
-jaraco.classes==3.3.0
-jedi==0.19.1
-Jinja2==3.1.3
-jsonschema==4.22.0
-jsonschema-specifications==2023.12.1
-jupyter_client==8.6.2
-jupyter_core==5.7.2
-jupyterlab_pygments==0.3.0
-keyring==24.3.0
-lazy-object-proxy==1.10.0
-lxml==5.1.0
-markdown-it-py==3.0.0
-MarkupSafe==2.1.3
-matplotlib-inline==0.1.7
-maxminddb==2.5.2
-mccabe==0.7.0
-mdurl==0.1.2
-mistune==3.0.2
-more-itertools==10.2.0
-multidict==6.0.4
-nbclient==0.10.0
-nbconvert==7.16.4
-nbformat==5.10.4
-nest-asyncio==1.5.9
-nh3==0.2.15
-numpy==1.26.3
-outcome==1.3.0.post0
-packaging==23.2
-pandas==2.1.4
-pandocfilters==1.5.1
-parso==0.8.4
-patsy==0.5.6
-pexpect==4.9.0
-pickleshare==0.7.5
-pip-review==1.3.0
-pipreqs==0.5.0
-pkginfo==1.9.6
-platformdirs==4.1.0
-plotly==5.18.0
-plotly-express==0.4.1
-pluggy==1.4.0
-prompt-toolkit==3.0.43
-ptyprocess==0.7.0
-pure-eval==0.2.2
-pycodestyle==2.11.1
-Pygments==2.17.2
-pylint==3.0.3
-pyparsing==3.1.1
-pyquery==2.0.0
-PySocks==1.7.1
-pytest==7.4.4
-python-dateutil==2.8.2
-pytz==2023.3.post1
-pyzmq==26.0.3
-ratelim==0.1.6
-readme-renderer==42.0
-referencing==0.35.1
-requests==2.31.0
-requests-toolbelt==1.0.0
+dash_mantine_components==0.15.3
+Flask==3.0.3
+idna==3.10
+importlib_metadata==8.6.1
+itsdangerous==2.2.0
+Jinja2==3.1.5
+MarkupSafe==3.0.2
+narwhals==1.26.0
+nest-asyncio==1.6.0
+numpy==2.0.2
+packaging==24.2
+pandas==2.2.3
+plotly==6.0.0
+python-dateutil==2.9.0.post0
+pytz==2025.1
+requests==2.32.3
 retrying==1.3.4
-rfc3986==2.0.0
-rich==13.7.0
-rpds-py==0.18.1
-scipy==1.11.4
-selenium==4.16.0
-six==1.16.0
-sniffio==1.3.0
-sortedcontainers==2.4.0
-soupsieve==2.5
-stack-data==0.6.3
-statsmodels==0.14.1
-tenacity==8.2.3
-tinycss2==1.3.0
-tomli==2.0.1
-tomlkit==0.12.3
-tornado==6.4
-tqdm==4.66.1
-traitlets==5.14.3
-trio==0.24.0
-trio-websocket==0.11.1
-twine==4.0.2
-typed-ast==1.5.5
-typing==3.7.4.3
-typing_extensions==4.9.0
-tzdata==2023.4
-urllib3==2.1.0
-wcwidth==0.2.13
-webencodings==0.5.1
-Werkzeug==3.0.1
-wrapt==1.16.0
-wsproto==1.2.0
-yarg==0.1.9
-yarl==1.9.4
-zipp==3.17.0
+six==1.17.0
+typing_extensions==4.12.2
+tzdata==2025.1
+urllib3==2.3.0
+Werkzeug==3.0.6
+zipp==3.21.0

user_analytics.py

@@ -1,4 +1,4 @@
-from ip2geotools.databases.noncommercial import DbIpCity
+# from ip2geotools.databases.noncommercial import DbIpCity
 import json
 import pandas as pd
 
@@ -28,10 +28,11 @@ def parse_user_ip_addresses(file_path='data/export/user.json'):
     lats = []
     longs = []
     # lookup the latitude and longitude coordinates of each IP address
-    for ip in ip_addresses[:100]:
-        coord = DbIpCity.get(ip, api_key="free")
-        lats.append(coord.latitude)
-        longs.append(coord.longitude)
+    # TODO: replace this with another library, there is an API limit and this takes way too long to load
+    # for ip in ip_addresses[:100]:
+    #     coord = DbIpCity.get(ip, api_key="free")
+    #     lats.append(coord.latitude)
+    #     longs.append(coord.longitude)
 
     # define column names and create a DataFrame
     coordinates = pd.DataFrame({'latitude': lats, 'longitude': longs})