chore: replace all references of Lyft repo with Amundsen (#323)

Signed-off-by: Tao Feng <fengtao04@gmail.com>

CODE_OF_CONDUCT.md

-This project is governed by [Lyft's code of conduct](https://github.com/lyft/code-of-conduct).
+This project is governed by [Amundsen's code of conduct](https://github.com/amundsen-io/amundsen/blob/master/CODE_OF_CONDUCT.md).
 All contributors and participants agree to abide by its terms.

databuilder/extractor/kafka_source_extractor.py

@@ -118,7 +118,7 @@ class KafkaSourceExtractor(Extractor, Callback):
         Commit the offset
         once:
             1. get the success callback from publisher in
-            https://github.com/lyft/amundsendatabuilder/blob/
+            https://github.com/amundsen-io/amundsendatabuilder/blob/
             master/databuilder/publisher/base_publisher.py#L50
             2. close the consumer.
 

docs/models.md

@@ -179,7 +179,7 @@ Supporting extractor: Currently there's no open sourced extractor for this. In L
 A model that encapsulate Dashboard usage between Dashboard and User
 
 #### Extraction
-You can use [ModeDashboardUsageExtractor](../databuilder/extractor/dashboard/mode_analytics/mode_dashboard_usage_extractor.py) . However, currently Mode only provides accumulated view count where we need recent view counts (past 30, 60, or 90 days). To get recent view count, in Lyft, we use [ModeDashboardUsageExtractor](../databuilder/extractor/dashboard/mode_analytics/mode_dashboard_usage_extractor.py) to extract accumulated view count and [GenericLoader](https://github.com/lyft/amundsendatabuilder/blob/master/databuilder/loader/generic_loader.py) to load its record (no publisher here and publisher is not mandatory in DefaultJob) as a event where event materialized as daily snapshot. Once it captures daily accumulated view count, ingest recent view count by querying the datastore. In Lyft, we query via [DBAPIExtractor](../databuilder/extractor/db_api_extractor.py) through Presto.  
+You can use [ModeDashboardUsageExtractor](../databuilder/extractor/dashboard/mode_analytics/mode_dashboard_usage_extractor.py) . However, currently Mode only provides accumulated view count where we need recent view counts (past 30, 60, or 90 days). To get recent view count, in Lyft, we use [ModeDashboardUsageExtractor](../databuilder/extractor/dashboard/mode_analytics/mode_dashboard_usage_extractor.py) to extract accumulated view count and [GenericLoader](https://github.com/amundsen-io/amundsendatabuilder/blob/master/databuilder/loader/generic_loader.py) to load its record (no publisher here and publisher is not mandatory in DefaultJob) as a event where event materialized as daily snapshot. Once it captures daily accumulated view count, ingest recent view count by querying the datastore. In Lyft, we query via [DBAPIExtractor](../databuilder/extractor/db_api_extractor.py) through Presto.  
 
 
 #### [DashboardLastModifiedTimestamp](../databuilder/models/dashboard/dashboard_last_modified.py)

example/sample_data/sample_source.csv

 db_name,cluster,schema,table_name,source,source_type
-hive,gold,test_schema,test_table1,"https://github.com/lyft/amundsen/",github
+hive,gold,test_schema,test_table1,"https://github.com/amundsen-io/amundsen/",github

example/sample_data/sample_table_programmatic_source.csv

 database,cluster,schema,name,description,tags,description_source
 hive,gold,test_schema,test_table1,"**Size**: 50T\n\n**Monthly Cost**: $5000","expensive","s3_crawler"
 dynamo,gold,test_schema,test_table2,"**Size**: 1T\n\n**Monthly Cost**: $50","cheap","s3_crawler"
-hive,gold,test_schema,test_table1,"### Quality Report:\n --- \n Ipsus enom. Ipsus enom ipsus lorenum.\n ---\n[![Build Status](https://api.travis-ci.com/lyft/amundsendatabuilder.svg?branch=master)](https://travis-ci.com/lyft/amundsendatabuilder)","low_quality","quality_service"
\ No newline at end of file
+hive,gold,test_schema,test_table1,"### Quality Report:\n --- \n Ipsus enom. Ipsus enom ipsus lorenum.\n ---\n[![Build Status](https://api.travis-ci.com/amundsen-io/amundsendatabuilder.svg?branch=master)](https://travis-ci.com/amundsen-io/amundsendatabuilder)","low_quality","quality_service"

example/sample_data/sample_user.csv

 email,first_name,last_name,full_name,github_username,team_name,employee_type,manager_email,slack_id,role_name
-roald.amundsen@example.org,Roald,Amundsen,"Roald Amundsen",lyft,"Team Amundsen",sailor,"phboss@example.org",ramundzn,swe
+roald.amundsen@example.org,Roald,Amundsen,"Roald Amundsen",amundsen-io,"Team Amundsen",sailor,"phboss@example.org",ramundzn,swe
 chrisc@example.org,Christopher,Columbus,"Christopher Columbus",ChristopherColumbusFAKE,"Team Amundsen",sailor,"phboss@example.org",chrisc,swe
 buzz@example.org,Buzz,Aldrin,"Buzz Aldrin",BuzzAldrinFAKE,"Team Amundsen",astronaut,"phboss@example.org",buzz,swe

example/scripts/sample_data_loader.py

@@ -17,7 +17,7 @@ It contains several jobs:
   and pubishes it into elasticsearch.
 
 For other available extractors, please take a look at
-https://github.com/lyft/amundsendatabuilder#list-of-extractors
+https://github.com/amundsen-io/amundsendatabuilder#list-of-extractors
 """
 
 import logging

setup.py

@@ -50,9 +50,9 @@ setup(
     name='amundsen-databuilder',
     version=__version__,
     description='Amundsen Data builder',
-    url='https://www.github.com/lyft/amundsendatabuilder',
-    maintainer='Lyft',
-    maintainer_email='amundsen-dev@lyft.com',
+    url='https://www.github.com/amundsen-io/amundsendatabuilder',
+    maintainer='Amundsen TSC',
+    maintainer_email='amundsen-tsc@lists.lfai.foundation',
     packages=find_packages(exclude=['tests*']),
     dependency_links=[],
     install_requires=requirements,