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Add prediction market metrics to ez_drift_metrics_by_chain #412

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merged 7 commits into from
Aug 20, 2024
Merged

Add prediction market metrics to ez_drift_metrics_by_chain #412

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2ec1f66
Add prediction market metrics to ez_drift_metrics_by_chain
akan72 Aug 19, 2024
1bf2328
Merge branch 'main' of https://github.com/Artemis-xyz/dbt into featur…
akan72 Aug 20, 2024
62ef422
Revert changes to chain dimension model
akan72 Aug 20, 2024
c90147e
Add ez_drift_metrics_by_market
akan72 Aug 20, 2024
518cfd9
Remove by_market model
akan72 Aug 20, 2024
3e43918
Merge branch 'main' of https://github.com/Artemis-xyz/dbt into featur…
akan72 Aug 20, 2024
c6d3285
offset date by one
akan72 Aug 20, 2024
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18 changes: 18 additions & 0 deletions models/projects/drift/core/ez_drift_metrics.sql
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Original file line number Diff line number Diff line change
@@ -0,0 +1,18 @@
{{
config(
materialized="table",
snowflake_warehouse="DRIFT",
database="drift",
schema="core",
alias="ez_metrics",
)
}}

SELECT
date,
'drift' AS app,
'DeFi' AS category,
"'TRUMP-WIN-2024-BET'" AS trump_prediction_market_100k_buy_order_price,
"'KAMALA-POPULAR-VOTE-2024-BET'" AS kamala_prediction_market_100k_buy_order_price
FROM {{ ref("fact_drift_prediction_markets") }}
PIVOT(SUM(PREDICTION_MARKET_100K_BUY_ORDER_PRICE) FOR market IN (ANY ORDER BY market))
4 changes: 2 additions & 2 deletions models/staging/drift/__drift__sources.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -4,5 +4,5 @@ sources:
database: LANDING_DATABASE
tables:
- name: raw_drift_trading_volume
- name: raw_drift_fill_price_kamala
- name: raw_drift_fill_price_trump
- name: raw_drift_fill_price_by_market

31 changes: 8 additions & 23 deletions models/staging/drift/fact_drift_prediction_markets.sql
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Original file line number Diff line number Diff line change
@@ -1,25 +1,10 @@
{{ config(materialized="table") }}
with
trump_data as (
select
DATE_TRUNC('DAY', extraction_date)::date as date,
source_json as trump_price
from {{ source("PROD_LANDING", "raw_drift_fill_price_trump") }}
), kamala_data as (
select
DATE_TRUNC('DAY', extraction_date)::date as date,
source_json as kamala_price
from {{ source("PROD_LANDING", "raw_drift_fill_price_kamala") }}
)

select
trump_data.date,
'drift' as app,
'DeFi' as category,
'solana' as chain,
trump_price,
kamala_price
from trump_data
left join kamala_data
on trump_data.date = kamala_data.date

SELECT
DATEADD('DAY', -1, DATE_TRUNC('DAY', extraction_date)::date) AS date,
value:market::varchar as market,
AVG(value:average_fill_price) as prediction_market_100k_buy_order_price
FROM {{ source("PROD_LANDING", "raw_drift_fill_price_by_market") }},
lateral flatten(input => parse_json(source_json))
GROUP BY
1, 2
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