* Create Omni-Person model for managing people in Clickhouse
* type fixes
* rebase all the things
* cleanups
* id -> uuid for events in clickhouse
* cleanups and type checks
* Further cleanups and uuid conversions
* kafka fix
* break out serializer across kafka clients
* fix a few bugs w/ datetime types
* basic fix for people kafka table
* fix migration errors (copy pasta errors)
* Use KafkaProducer for Omni Person emitting
* setup mock kafka producer
* undo some work for inserting
* Test TestKafkaProducer
* change if order, obvious mistake
* remove unnecessary function arg
* Fix getters for new column
* Test fixes
* mirror columns across element queries
* firm up handling of timestamps
* only return timestamps for handle_timestamp
* Correct heroku config for Kafka
* Use ReplacingMergeTree for elements, remove element_groups and use elements_hash as a virtual "pk"
* remove unused ELEMENT_GROUP_TABLE_SQL
* merge fixes
* use redis cache to avoid writing duplicate elements to clickhouse
* move fakeredis to requirements.txt
* add team_id to cache key
* remove elements_group kafka table references
* add elements_hash to clickhouse element serializer
* fix cache key
* rename few keys
* add test runner to ease pycharm dev
* fix a some mypy errors
* remove typo
Co-authored-by: Eric <eeoneric@gmail.com>
* add test runner to ease pycharm dev
* fix broken import
* drop and recreate the clickhouse test db before running tests
* fix person uuid str json serialization issue
* make kafka optional in tests
* fix inits
* remove need for kafka in person.py
* fix a bunch of mypy errors
* fix function and add process_event to pipeline
* fixed missing params and tests
* change uuid and fix types
* types
* optimize for merge prop test
* make ClickhouseProducer to produce to clickhouse one way or another
* annotate types
Co-authored-by: Eric <eeoneric@gmail.com>
Co-authored-by: James Greenhill <fuziontech@gmail.com>
* Publish events to Kafka for consumption
* Commit avro idl's for event schemas
* convert client to use github.com/dpkp/kafka-python
* events loaded into clickhouse from Kafka
* remove cruft
* Publish events to Kafka for consumption
* convert client to use github.com/dpkp/kafka-python
* remove cruft
* include kafka migrations
* bugfixes for migrations
* use constants for consistency
* wrap up local migrations
* small fixes
* tune ups
