"""Config for TikTok Weekly Ingestion Workflow."""
import os


feed_name = 'tiktok_weekly'
secrets_path = 'tiktok_weekly'
sme_secrets_path = 'swf-sme-ca-prod-partners-s3-access'

platforms = ['TikTok', 'Douyin']

# types of files and staging raw tables for them
reports = {
    'TopHashtag': 'staging_raw_{platform}_trends_tophashtag',
    'TopSong': 'staging_raw_{platform}_trends_topsong'
}

# filename template
filename = '{{platform}}_Trends_{{report}}_{date:%Y%m%d}.txt'

# bucket for dropped data
drop_bucket = os.environ.get(
    'FEED_INGESTION_DROP_BUCKET', 'dev-feed-drop')

# bucket for archived data
data_bucket = os.environ.get('FEED_INGESTION_DATA_BUCKET', 'dev-cucumbers')

# S3 locations for dropped and archived files
s3 = {
    'drop': 'tiktok/in/sme/weekly_toplists/',
    'archive': 'TikTok_weekly/archives/{date:%Y-%m-%d}/'
}

temp_staging_raw_table = (
    'temp_staging_raw_{platform}_weekly_{report}_{date}')

# The maximum allowed number of errors in the file
snowflake_error_limit = 10