pfigs/location-history

Analytics on GMAPS location history

location-history's Issues

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• chore(deps): update dependency black to v24 [security]

Detected dependencies

docker-compose

docker-compose.yaml

dockerfile

container/Dockerfile

• python 3

pipenv

Pipfile

• black ==20.8b1

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Dockerfile updates

Update the Dockerfile to pull the package from PyPi

Location clustering

Use a method like kmeans and dbscan to generate geo clusters

Allow timestamp as input argument

Currently the input time has to be given in datetime format, however it is useful to allow it to be in timestamp as well (present in the takeout json).

Python package

Package the scripts' functionality in multiple modules and package them in a python application

Command line arguments

Add default command line arguments to the argument helper

Fetch package version from scm

Bring in the necessary fluff to allow package version control from git

Travis

Setup travis with wheel building and unit tests

Database handler

Problem

Reading the location history json file is costly and time consuming. Dumping it all on a database helps with time lookups.

Goal

Write a database handler (grpc) which handles insertions and searches from the database. Initialization of the database should be based on the existing script: https://github.com/PFigs/location-history/blob/master/export_to_influxdb.py

event date ordering: sort key by date

Problem
When building the summary there is currently no check regarding the (possibility) of out of order timestamps from the source json.

Publish to pypi

Publish the python application to PyPi

Entrypoint for monthly and daily reports

Add an entrypoint to make it easier to interface with the package when it comes to the ingestion of a provider's location history file.

Unit tests

Add test coverage for package modules.