add auction anchoring in v2

This commit is contained in:
wphan
2025-10-21 16:33:30 -07:00
parent a627c89e0a
commit 3d4cf24296
8 changed files with 826 additions and 26 deletions

348
src/athena/README.md Normal file
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@@ -0,0 +1,348 @@
# Athena Integration
This module provides connectivity to AWS Athena for querying historical Drift protocol data.
## Setup
### Prerequisites
1. AWS credentials configured with access to Athena
2. Environment variables:
- `AWS_REGION` (optional, defaults to `us-east-1`)
- `AWS_ACCESS_KEY_ID` (required)
- `AWS_SECRET_ACCESS_KEY` (required)
- `ATHENA_DATABASE` (optional, defaults to `staging-archive`)
- `ATHENA_OUTPUT_BUCKET` (optional, defaults to `staging-data-ingestion-bucket`)
### Installation
The required AWS SDK packages are already included in `package.json`:
```bash
yarn install
```
## Usage
### Basic Query Example
```typescript
import { Athena } from './athena/client';
const { query } = Athena();
const results = await query(`
SELECT * FROM eventtype_traderecord
WHERE markettype = 'perp'
LIMIT 10
`);
console.log(results);
```
### Using the Fill Quality Analytics Repository
```typescript
import { FillQualityAnalyticsRepository } from './athena/repositories/fillQualityAnalytics';
const repository = FillQualityAnalyticsRepository();
// Get taker fill vs oracle basis points for ALL perp markets
// Time range: last 7 days
const nowMs = Date.now();
const weekAgoMs = nowMs - 7 * 24 * 60 * 60 * 1000;
const results = await repository.getTakerFillVsOracleBps(
weekAgoMs, // from (unix timestamp in milliseconds)
nowMs, // to (unix timestamp in milliseconds)
9, // baseDecimals (default: 9)
60 // smoothingMinutes (default: 60)
);
// Results contain time series data with columns:
// - Time: timestamp
// - MarketIndex: the perp market index
// - TakerBuyBpsFromOracle_1e0: average for buy orders < $1000
// - TakerBuyBpsFromOracle_1e3: average for buy orders $1k-$10k
// - TakerBuyBpsFromOracle_1e4: average for buy orders $10k-$100k
// - TakerBuyBpsFromOracle_1e5: average for buy orders $100k-$1M
// - TakerBuyBpsFromOracle_1e6: average for buy orders > $1M
// - (Similar columns for sell orders)
// - Zero: baseline (always 0)
// Data is partitioned by MarketIndex, so you can filter/group by market
const solPerpData = results.filter(r => r.MarketIndex === '0');
console.log(solPerpData);
```
### Batch Queries
```typescript
import { Athena } from './athena/client';
const { batchQuery } = Athena();
const { results, errors } = await batchQuery({
queries: [
{ query: 'SELECT COUNT(*) FROM eventtype_traderecord' },
{ query: 'SELECT COUNT(*) FROM eventtype_orderrecord' },
]
});
console.log('Results:', results);
console.log('Errors:', errors);
```
### Custom Database/Bucket
```typescript
import { Athena } from './athena/client';
const { query } = Athena({
overrideDatabaseName: 'my_custom_db',
overrideBucketName: 'my-custom-bucket'
});
```
## Architecture
### Client (`client.ts`)
- Handles Athena query execution
- Manages query lifecycle (start, poll, retrieve results)
- Implements rate limiting via Bottleneck
- Provides batch query support
### Utilities (`utils.ts`)
- `getTimePartition`: Generate time partition filters for queries
- `getTimeRangeAndPartitions`: Generate time range and partition filters
### Repositories
- **Fill Quality Analytics** (`repositories/fillQualityAnalytics.ts`): Analyzes taker fill quality vs oracle prices, bucketed by order size cohorts
## Query Best Practices
1. **Always use partition filters** to minimize data scanned:
```sql
WHERE year = '2024' AND month = '01' AND day = '15'
```
2. **Use the utility functions** for generating time-based filters:
```typescript
import { getTimeRangeAndPartitions } from './athena/utils';
const query = `
${getTimeRangeAndPartitions(from, to)}
SELECT * FROM eventtype_traderecord
JOIN valid_partitions vp ON ...
`;
```
3. **Monitor costs**: Each query logs bytes scanned. Athena charges per TB scanned.
4. **Use batch queries** when running multiple independent queries to improve throughput.
## Error Handling
The client automatically retries failed queries up to 3 times with exponential backoff. Queries timeout after 5 minutes (300s) by default.
```typescript
try {
const results = await query(queryString);
} catch (error) {
console.error('Query failed:', error.message);
// Handle error appropriately
}
```
## Adding New Repositories
To add a new analytics repository:
1. Create a new file in `repositories/` (e.g., `myAnalytics.ts`)
2. Define TypeScript interfaces for your results
3. Create a repository function that uses the Athena client
4. Export from `index.ts`
Example:
```typescript
// repositories/myAnalytics.ts
import { Athena } from '../client';
export interface MyResult {
field1: string;
field2: string;
}
export const MyAnalyticsRepository = () => {
const { query } = Athena();
const getMyData = async (from: number, to: number): Promise<MyResult[]> => {
const queryString = `
SELECT field1, field2
FROM my_table
WHERE ts BETWEEN ${from} AND ${to}
`;
const results = await query(queryString);
return results.map((r) => ({
field1: r.field1 || '',
field2: r.field2 || '',
}));
};
return { getMyData };
};
```
```typescript
// index.ts
export * from './repositories/myAnalytics';
```
## Integration with DLOBPublisher
The DLOBPublisher (`src/publishers/dlobPublisher.ts`) includes automatic fetching and caching of fill quality analytics data to Redis.
### Configuration
Enable fill quality analytics via environment variables:
```bash
# Enable the feature (default: false)
ENABLE_FILL_QUALITY_ANALYTICS=true
# How often to fetch and update analytics (default: 300000 = 5 minutes)
FILL_QUALITY_ANALYTICS_INTERVAL=300000
# Historical data lookback window (default: 86400000 = 24 hours)
FILL_QUALITY_ANALYTICS_LOOKBACK_MS=86400000
# Rolling average smoothing window in minutes (default: 60)
FILL_QUALITY_ANALYTICS_SMOOTHING_MINUTES=60
```
### How it Works
1. **On Startup**: Immediately fetches fill quality analytics for all perp markets
2. **Periodic Updates**: Re-fetches data every `FILL_QUALITY_ANALYTICS_INTERVAL` milliseconds
3. **Redis Storage**: Stores results in Redis with the following keys:
- `taker_fill_vs_oracle_bps:market:{marketIndex}` - Individual market data
- `taker_fill_vs_oracle_bps:summary` - Summary with metadata
### Redis Data Format
Per-market keys contain:
```json
{
"time": "2024-01-15 10:30:00.000",
"marketIndex": "0",
"takerBuyBpsFromOracle": {
"all": "5.23",
"1e0": "8.45",
"1e3": "6.12",
"1e4": "4.89",
"1e5": "3.56",
"1e6": "2.34"
},
"takerSellBpsFromOracle": {
"all": "-4.87",
"1e0": "-7.23",
"1e3": "-5.45",
"1e4": "-4.12",
"1e5": "-3.01",
"1e6": "-2.15"
},
"updatedAt": "2024-01-15T10:35:00.000Z"
}
```
Summary key contains:
```json
{
"markets": ["0", "1", "2"],
"lastUpdated": "2024-01-15T10:35:00.000Z",
"lookbackMs": 86400000,
"smoothingMinutes": 60
}
```
### Accessing the Data
Downstream services can read the cached analytics from Redis without querying Athena directly:
```typescript
import { RedisClient } from '@drift/common/clients';
const redis = new RedisClient();
await redis.connect();
// Get summary
const summary = await redis.get('taker_fill_vs_oracle_bps:summary');
console.log(JSON.parse(summary));
// Get data for SOL-PERP (market index 0)
const solData = await redis.get('taker_fill_vs_oracle_bps:market:0');
console.log(JSON.parse(solData));
```
This architecture allows multiple services to access expensive analytics queries without hitting Athena repeatedly.
## Testing
### Test Redis Polling
To verify that fill quality analytics data is being written to and updated in Redis:
```bash
# Start the DLOBPublisher with fill quality analytics enabled
ENABLE_FILL_QUALITY_ANALYTICS=true yarn dlob-publish
# In another terminal, run the Redis polling test
yarn test:fill-quality-redis
```
The polling test script will:
- Connect to Redis
- Poll every 10 seconds for markets 0, 1, 2 (SOL, BTC, ETH)
- Display the summary and per-market data
- Track when data is updated (shows 🆕 NEW UPDATE when timestamps change)
- Validate data structure integrity
- Show data age and warn if stale (>10 minutes old)
**Example output:**
```
========== Polling iteration 1 ==========
📋 Summary:
Markets available: 0, 1, 2
Last updated: 2024-01-15T10:35:00.000Z
Lookback: 86400000ms (24h)
Smoothing: 60 minutes
📊 Market Data:
🆕 NEW UPDATE - SOL-PERP (Market 0)
Data timestamp: 2024-01-15 10:30:00.000
Updated at: 2024-01-15T10:35:00.000Z
Age: 15s ago
Taker Buy (all): 5.23 bps
Taker Sell (all): -4.87 bps
Large orders (>$1M): Buy=2.34bps, Sell=-2.15bps
🆕 NEW UPDATE - BTC-PERP (Market 1)
Data timestamp: 2024-01-15 10:30:00.000
Updated at: 2024-01-15T10:35:00.000Z
Age: 15s ago
Taker Buy (all): 4.12 bps
Taker Sell (all): -3.89 bps
Large orders (>$1M): Buy=1.89bps, Sell=-1.76bps
📈 Update Tracking:
✅ All 3 markets have data
🔍 Validation:
✅ All data structures are valid
```
The script will continue polling until you press `Ctrl+C`.

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@@ -42,16 +42,24 @@ const parseRow = (row: Row, columnInfo: ColumnInfo[]): QueryResult => {
const athena = new AthenaClient({
region: process.env.AWS_REGION,
retryStrategy: new ConfiguredRetryStrategy(3, (attempt: number) => 100 + attempt * 1000),
retryStrategy: new ConfiguredRetryStrategy(
3,
(attempt: number) => 100 + attempt * 1000
),
});
export const Athena = ({
overrideDatabaseName,
overrideBucketName,
}: { overrideDatabaseName?: string; overrideBucketName?: string } = {}) => {
const database = overrideDatabaseName ?? process.env.ATHENA_DATABASE ?? DEFAULT_ATHENA_DATABASE;
const database =
overrideDatabaseName ??
process.env.ATHENA_DATABASE ??
DEFAULT_ATHENA_DATABASE;
const outputLocation = `s3://${
overrideBucketName ?? process.env.ATHENA_OUTPUT_BUCKET ?? DEFAULT_ATHENA_OUTPUT_BUCKET
overrideBucketName ??
process.env.ATHENA_OUTPUT_BUCKET ??
DEFAULT_ATHENA_OUTPUT_BUCKET
}/athena`;
const startQuery = async (query: string, params?: Record<string, string>) => {
@@ -104,7 +112,9 @@ export const Athena = ({
while (Date.now() - startTime < timeout) {
const execution = await getQueryExecution(queryExecutionId);
logger.info(
`Total bytes scanned: ${(execution?.Statistics?.DataScannedInBytes ?? 0) / 1024}kb`
`Total bytes scanned: ${
(execution?.Statistics?.DataScannedInBytes ?? 0) / 1024
}kb`
);
const state = execution?.Status?.State;
@@ -112,7 +122,9 @@ export const Athena = ({
case QueryExecutionState.SUCCEEDED:
return;
case QueryExecutionState.FAILED:
throw new Error(`Query failed: ${execution?.Status?.StateChangeReason}`);
throw new Error(
`Query failed: ${execution?.Status?.StateChangeReason}`
);
case QueryExecutionState.CANCELLED:
throw new Error('Query was cancelled');
default:
@@ -135,15 +147,22 @@ export const Athena = ({
);
};
const getAllQueryResults = async (queryExecutionId: string): Promise<QueryResult[]> => {
const getAllQueryResults = async (
queryExecutionId: string
): Promise<QueryResult[]> => {
let nextToken: string | undefined;
const allResults: QueryResult[] = [];
do {
const results = await getQueryResults(queryExecutionId, nextToken);
if (results.ResultSet?.Rows && results.ResultSet.ResultSetMetadata?.ColumnInfo) {
if (
results.ResultSet?.Rows &&
results.ResultSet.ResultSetMetadata?.ColumnInfo
) {
const columnInfo = results.ResultSet.ResultSetMetadata.ColumnInfo;
const rows = nextToken ? results.ResultSet.Rows : results.ResultSet.Rows.slice(1);
const rows = nextToken
? results.ResultSet.Rows
: results.ResultSet.Rows.slice(1);
const parsedRows = rows.map((row) => parseRow(row, columnInfo));
allResults.push(...parsedRows);
}
@@ -183,10 +202,14 @@ export const Athena = ({
await Promise.all(
queries.map(async ({ query: queryString, params }, index) => {
try {
const result = await limiter.schedule(() => query(queryString, params));
const result = await limiter.schedule(() =>
query(queryString, params)
);
results[index] = result;
} catch (error) {
logger.error(`Error in batch query ${index}: ${queryString}, Error: ${error}`);
logger.error(
`Error in batch query ${index}: ${queryString}, Error: ${error}`
);
errors[index] = error as Error;
}
})
@@ -212,4 +235,3 @@ export const Athena = ({
waitForQueryCompletion,
};
};

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@@ -1,4 +1,3 @@
export * from './client';
export * from './utils';
export * from './repositories/fillQualityAnalytics';

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@@ -1,7 +1,6 @@
import { Athena } from '../client';
export interface TakerFillVsOracleBpsResult {
Time: string;
MarketIndex: string;
TakerBuyBpsFromOracle_ALL: string | null;
TakerSellBpsFromOracle_ALL: string | null;
@@ -18,6 +17,27 @@ export interface TakerFillVsOracleBpsResult {
Zero: string;
}
export type TakerFillVsOracleBpsRedisResult = {
marketIndex: string;
takerBuyBpsFromOracle: {
all: string | null;
'1e0': string | null;
'1e3': string | null;
'1e4': string | null;
'1e5': string | null;
'1e6': string | null;
};
takerSellBpsFromOracle: {
all: string | null;
'1e0': string | null;
'1e3': string | null;
'1e4': string | null;
'1e5': string | null;
'1e6': string | null;
};
updatedAtTs: number;
};
export const FillQualityAnalyticsRepository = () => {
const { query } = Athena();
@@ -255,7 +275,6 @@ ORDER BY MarketIndex;
const results = await query(queryString);
return results.map((result) => ({
Time: result.Time || '',
MarketIndex: result.MarketIndex || '',
TakerBuyBpsFromOracle_ALL: result.TakerBuyBpsFromOracle_ALL,
TakerSellBpsFromOracle_ALL: result.TakerSellBpsFromOracle_ALL,
@@ -277,4 +296,3 @@ ORDER BY MarketIndex;
getTakerFillVsOracleBps,
};
};

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@@ -37,4 +37,3 @@ export const getTimeRangeAndPartitions = (
) AS ${valid_partitions_label}(year, month, day)
)`;
};

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@@ -50,8 +50,9 @@ import FEATURE_FLAGS from './utils/featureFlags';
import { getDLOBProviderFromOrderSubscriber } from './dlobProvider';
import { setGlobalDispatcher, Agent } from 'undici';
import { HermesClient } from '@pythnetwork/hermes-client';
import { COMMON_UI_UTILS } from '@drift/common';
import { COMMON_UI_UTILS, ENUM_UTILS } from '@drift/common';
import { AuctionParamArgs } from './utils/types';
import { TakerFillVsOracleBpsRedisResult } from './athena/repositories/fillQualityAnalytics';
setGlobalDispatcher(
new Agent({
@@ -947,6 +948,7 @@ const main = async (): Promise<void> => {
forceUpToSlippage,
maxLeverageSelected,
maxLeverageOrderSize,
version,
} = req.query;
// Validate required parameters
@@ -959,6 +961,31 @@ const main = async (): Promise<void> => {
return;
}
const apiVersion = version ? parseInt(version as string) : 1;
let redisFillQualityInfo: TakerFillVsOracleBpsRedisResult | undefined;
if (apiVersion === 2) {
const redisKey = `taker_fill_vs_oracle_bps:market:${marketIndex}`;
try {
const redisValue = await fetchFromRedis(
redisKey,
(responses) => responses[0] as any
);
if (redisValue) {
const parsed = JSON.parse(redisValue);
redisFillQualityInfo =
typeof parsed === 'string' ? JSON.parse(parsed) : parsed;
}
// Fall through to existing logic below
} catch (err) {
logger.error(
`Version 2: Error fetching redis stats for market ${marketIndex}:`,
err
);
// Fall through to existing logic below
}
}
// Parse and validate values
const parsedMarketIndex = parseInt(marketIndex as string);
if (isNaN(parsedMarketIndex)) {
@@ -1029,7 +1056,9 @@ const main = async (): Promise<void> => {
inputParams,
driftClient,
fetchFromRedis,
selectMostRecentBySlot
selectMostRecentBySlot,
redisFillQualityInfo,
apiVersion
);
if (!result.success) {
@@ -1043,6 +1072,24 @@ const main = async (): Promise<void> => {
result.data.marketOrderParams
);
// Log final auction prices for debugging
logger.info(
JSON.stringify({
event: 'auction_params_derived',
marketIndex: parsedMarketIndex,
direction: direction,
apiVersion,
finalAuctionParams: {
auctionStartPrice: auctionParams.auctionStartPrice?.toString(),
auctionEndPrice: auctionParams.auctionEndPrice?.toString(),
price: auctionParams.price?.toString(),
oraclePriceOffset: auctionParams.oraclePriceOffset?.toString(),
auctionDuration: auctionParams.auctionDuration?.toString(),
orderType: ENUM_UTILS.toStr(auctionParams.orderType),
},
})
);
const response = {
data: {
params: formatAuctionParamsForResponse(auctionParams),

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@@ -43,6 +43,10 @@ import { handleHealthCheck } from '../core/middleware';
import { setGlobalDispatcher, Agent } from 'undici';
import { Metrics } from '../core/metricsV2';
import { OrderSubscriberFiltered } from '../dlob-subscriber/OrderSubscriberFiltered';
import {
FillQualityAnalyticsRepository,
TakerFillVsOracleBpsRedisResult,
} from '../athena/repositories/fillQualityAnalytics';
setGlobalDispatcher(
new Agent({
@@ -93,6 +97,10 @@ const tobStuckGauge = metricsV2.addGauge(
'tob_stuck_duration',
'Duration TOB has been stuck for each market'
);
const takerFillBpsFromOracleGauge = metricsV2.addGauge(
'taker_fill_bps_from_oracle',
'Taker fill BPS from oracle by market, side, and cohort'
);
metricsV2.finalizeObservables();
//@ts-ignore
@@ -109,7 +117,7 @@ const endpoint = process.env.ENDPOINT;
const grpcEndpoint = useGrpc
? process.env.GRPC_ENDPOINT ?? endpoint + `/${token}`
: '';
const grpcClient = process.env.GRPC_CLIENT ?? 'yellowstone'
const grpcClient = process.env.GRPC_CLIENT ?? 'yellowstone';
const wsEndpoint = process.env.WS_ENDPOINT;
const useOrderSubscriber =
@@ -122,6 +130,16 @@ const WS_FALLBACK_FETCH_INTERVAL = 60_000;
const KILLSWITCH_SLOT_DIFF_THRESHOLD =
parseInt(process.env.KILLSWITCH_SLOT_DIFF_THRESHOLD) || 200;
// Fill Quality Analytics configuration
const ENABLE_FILL_QUALITY_ANALYTICS =
process.env.ENABLE_FILL_QUALITY_ANALYTICS?.toLowerCase() === 'true';
const FILL_QUALITY_ANALYTICS_INTERVAL =
parseInt(process.env.FILL_QUALITY_ANALYTICS_INTERVAL) || 300_000; // 5 minutes default
const FILL_QUALITY_ANALYTICS_LOOKBACK_MS =
parseInt(process.env.FILL_QUALITY_ANALYTICS_LOOKBACK_MS) || 86_400_000; // 24 hours default
const FILL_QUALITY_ANALYTICS_SMOOTHING_MINUTES =
parseInt(process.env.FILL_QUALITY_ANALYTICS_SMOOTHING_MINUTES) || 60;
// TOB monitoring configuration - defaults to true if not set
const ENABLE_TOB_MONITORING =
!process.env.ENABLE_TOB_MONITORING ||
@@ -169,6 +187,22 @@ if (ENABLE_TOB_MONITORING) {
`TOB Monitoring Markets: ${TOB_MONITORING_ENABLED_PERP_MARKETS.join(', ')}`
);
}
logger.info(
`Fill Quality Analytics: ${
ENABLE_FILL_QUALITY_ANALYTICS ? 'enabled' : 'disabled'
}`
);
if (ENABLE_FILL_QUALITY_ANALYTICS) {
logger.info(
`Fill Quality Analytics Interval: ${FILL_QUALITY_ANALYTICS_INTERVAL}ms`
);
logger.info(
`Fill Quality Analytics Lookback: ${FILL_QUALITY_ANALYTICS_LOOKBACK_MS}ms`
);
logger.info(
`Fill Quality Analytics Smoothing: ${FILL_QUALITY_ANALYTICS_SMOOTHING_MINUTES} minutes`
);
}
let MARKET_SUBSCRIBERS: SubscriberLookup = {};
@@ -504,8 +538,7 @@ const main = async () => {
'grpc.keepalive_timeout_ms': 1_000,
'grpc.keepalive_permit_without_calls': 1,
},
client: grpcClient
client: grpcClient,
},
commitment: stateCommitment,
};
@@ -817,6 +850,196 @@ const main = async () => {
// Start TOB monitoring
setInterval(checkTobForStuckOrders, TOB_CHECK_INTERVAL);
// Track last known values for fill quality metrics (per market/side/cohort)
const lastFillQualityValues = new Map<string, number>();
// Helper function to update fill quality metric with null tracking
const updateFillQualityMetric = (
value: string | number | null | undefined,
marketIndex: string | number,
side: string,
cohort: string
) => {
const marketIndexStr = marketIndex.toString();
const key = `${marketIndexStr}:${side}:${cohort}`;
const isNull = value === null || value === undefined;
let valueToUse: number;
if (isNull) {
// Use last known value, or 0 if no previous value exists
valueToUse = lastFillQualityValues.get(key) || 0;
logger.debug(
`Null value for market ${marketIndexStr} ${side} ${cohort}, using last known value: ${valueToUse}`
);
} else {
// Use current value and update the last known value
valueToUse = Number(value);
lastFillQualityValues.set(key, valueToUse);
}
takerFillBpsFromOracleGauge.setLatestValue(valueToUse, {
marketIndex: marketIndexStr,
side,
cohort,
null: isNull ? 'true' : 'false',
});
};
// Fill Quality Analytics function - fetch and store in Redis
const fetchAndStoreFillQualityAnalytics = async () => {
if (!ENABLE_FILL_QUALITY_ANALYTICS) {
return;
}
try {
logger.info('Starting fill quality analytics fetch');
const startTime = Date.now();
const fillQualityRepo = FillQualityAnalyticsRepository();
const toMs = Date.now();
const fromMs = toMs - FILL_QUALITY_ANALYTICS_LOOKBACK_MS;
const results = await fillQualityRepo.getTakerFillVsOracleBps(
fromMs,
toMs,
9, // baseDecimals
FILL_QUALITY_ANALYTICS_SMOOTHING_MINUTES
);
logger.info(
`Fetched fill quality analytics for ${results.length} markets in ${
Date.now() - startTime
}ms`
);
// Store results in Redis - one key per market
const startRedisSet = Date.now();
for (const result of results) {
const redisKey = `taker_fill_vs_oracle_bps:market:${result.MarketIndex}`;
const redisValue = JSON.stringify({
marketIndex: result.MarketIndex,
takerBuyBpsFromOracle: {
all: result.TakerBuyBpsFromOracle_ALL,
'1e0': result.TakerBuyBpsFromOracle_1e0,
'1e3': result.TakerBuyBpsFromOracle_1e3,
'1e4': result.TakerBuyBpsFromOracle_1e4,
'1e5': result.TakerBuyBpsFromOracle_1e5,
'1e6': result.TakerBuyBpsFromOracle_1e6,
},
takerSellBpsFromOracle: {
all: result.TakerSellBpsFromOracle_ALL,
'1e0': result.TakerSellBpsFromOracle_1e0,
'1e3': result.TakerSellBpsFromOracle_1e3,
'1e4': result.TakerSellBpsFromOracle_1e4,
'1e5': result.TakerSellBpsFromOracle_1e5,
'1e6': result.TakerSellBpsFromOracle_1e6,
},
updatedAtTs: Date.now(),
} as TakerFillVsOracleBpsRedisResult);
await redisClient.set(redisKey, redisValue);
updateFillQualityMetric(
result.TakerBuyBpsFromOracle_ALL,
result.MarketIndex,
'buy',
'all'
);
updateFillQualityMetric(
result.TakerBuyBpsFromOracle_1e0,
result.MarketIndex,
'buy',
'1e0'
);
updateFillQualityMetric(
result.TakerBuyBpsFromOracle_1e3,
result.MarketIndex,
'buy',
'1e3'
);
updateFillQualityMetric(
result.TakerBuyBpsFromOracle_1e4,
result.MarketIndex,
'buy',
'1e4'
);
updateFillQualityMetric(
result.TakerBuyBpsFromOracle_1e5,
result.MarketIndex,
'buy',
'1e5'
);
updateFillQualityMetric(
result.TakerBuyBpsFromOracle_1e6,
result.MarketIndex,
'buy',
'1e6'
);
updateFillQualityMetric(
result.TakerSellBpsFromOracle_ALL,
result.MarketIndex,
'sell',
'all'
);
updateFillQualityMetric(
result.TakerSellBpsFromOracle_1e0,
result.MarketIndex,
'sell',
'1e0'
);
updateFillQualityMetric(
result.TakerSellBpsFromOracle_1e3,
result.MarketIndex,
'sell',
'1e3'
);
updateFillQualityMetric(
result.TakerSellBpsFromOracle_1e4,
result.MarketIndex,
'sell',
'1e4'
);
updateFillQualityMetric(
result.TakerSellBpsFromOracle_1e5,
result.MarketIndex,
'sell',
'1e5'
);
updateFillQualityMetric(
result.TakerSellBpsFromOracle_1e6,
result.MarketIndex,
'sell',
'1e6'
);
logger.debug(
`Stored fill quality analytics for market ${result.MarketIndex}`
);
}
logger.info(
`Successfully stored fill quality analytics for ${
results.length
} markets in Redis in ${Date.now() - startRedisSet}ms`
);
} catch (error) {
logger.error('Error fetching/storing fill quality analytics:', error);
}
};
// Run fill quality analytics fetch immediately on startup, then on interval
if (ENABLE_FILL_QUALITY_ANALYTICS) {
fetchAndStoreFillQualityAnalytics().catch((error) => {
logger.error('Initial fill quality analytics fetch failed:', error);
});
setInterval(
fetchAndStoreFillQualityAnalytics,
FILL_QUALITY_ANALYTICS_INTERVAL
);
logger.info(
`Fill quality analytics will run every ${FILL_QUALITY_ANALYTICS_INTERVAL}ms`
);
}
const handleStartup = async (_req, res, _next) => {
if (driftClient.isSubscribed && dlobProvider.size() > 0) {
res.writeHead(200);

View File

@@ -34,6 +34,7 @@ import { wsMarketArgs } from 'src/dlob-subscriber/DLOBSubscriberIO';
import { DEFAULT_AUCTION_PARAMS, MID_MAJOR_MARKETS } from './constants';
import { AuctionParamArgs } from './types';
import { COMMON_MATH, ENUM_UTILS } from '@drift/common';
import { TakerFillVsOracleBpsRedisResult } from '../athena/repositories/fillQualityAnalytics';
export const GROUPING_OPTIONS = [1, 10, 100, 500, 1000];
export const GROUPING_DEPENDENCIES = {
@@ -312,10 +313,17 @@ export function publishGroupings(
asks: aggregatedAsks,
});
if(['SOL-PERP', 'BTC-PERP', 'ETH-PERP'].includes(l2Formatted_grouped20.marketName) && aggregatedBids.length !== 20 || aggregatedAsks.length !== 20) {
logger.error(`Error aggregating dlob levels: group=${group}, bids=${fullAggregatedBids.length}, asks=${fullAggregatedAsks.length}`)
logger.error(`Response: ${JSON.stringify(l2Formatted_grouped20)}`)
if (
(['SOL-PERP', 'BTC-PERP', 'ETH-PERP'].includes(
l2Formatted_grouped20.marketName
) &&
aggregatedBids.length !== 20) ||
aggregatedAsks.length !== 20
) {
logger.error(
`Error aggregating dlob levels: group=${group}, bids=${fullAggregatedBids.length}, asks=${fullAggregatedAsks.length}`
);
logger.error(`Response: ${JSON.stringify(l2Formatted_grouped20)}`);
}
redisClient.publish(
@@ -911,6 +919,8 @@ export const getEstimatedPrices = async (
* @param driftClient - DriftClient instance (optional, for price calculation)
* @param fetchFromRedis - Redis fetch function (optional, for price calculation)
* @param selectMostRecentBySlot - Slot selection function (optional, for price calculation)
* @param fillQualityInfo - Fill quality analytics data (version 2 only)
* @param apiVersion - API version (1 or 2)
* @returns Object formatted for deriveMarketOrderParams function or error response
*/
export const mapToMarketOrderParams = async (
@@ -920,7 +930,9 @@ export const mapToMarketOrderParams = async (
key: string,
selectionCriteria: (responses: any) => any
) => Promise<any>,
selectMostRecentBySlot?: (responses: any[]) => any
selectMostRecentBySlot?: (responses: any[]) => any,
fillQualityInfo?: TakerFillVsOracleBpsRedisResult,
apiVersion: number = 1
): Promise<{
success: boolean;
data?: {
@@ -960,6 +972,15 @@ export const mapToMarketOrderParams = async (
let estimatedPrices;
let processedSlippageTolerance = params.slippageTolerance;
// Track debug info for logging
let debugInfo = {
originalOraclePrice: null as string | null,
adjustedOraclePrice: null as string | null,
isCrossed: false,
fillQualityBps: null as number | null,
appliedV2Adjustment: false,
};
if (driftClient && fetchFromRedis && selectMostRecentBySlot) {
// Get L2 orderbook data using the utility function
const redisL2 = await fetchL2FromRedis(
@@ -980,6 +1001,73 @@ export const mapToMarketOrderParams = async (
redisL2
);
// Store original oracle for debugging
debugInfo.originalOraclePrice = estimatedPrices.oraclePrice.toString();
// VERSION 2: Adjust oracle price based on fill quality when orderbook is crossed
if (apiVersion === 2 && fillQualityInfo && redisL2) {
try {
// Convert raw L2 to formatted L2 for cross detection
const l2Formatted = convertRawL2ToBN(redisL2);
const isSpot = isVariant(marketType, 'spot');
const oracleData = isSpot
? driftClient.getOracleDataForSpotMarket(params.marketIndex)
: driftClient.getOracleDataForPerpMarket(params.marketIndex);
const oraclePrice = oracleData.price ?? ZERO;
// Detect if orderbook is crossed
const spreadInfo = COMMON_MATH.calculateSpreadBidAskMark(
l2Formatted,
oraclePrice
);
const isCrossed =
spreadInfo.bestBidPrice &&
spreadInfo.bestAskPrice &&
spreadInfo.bestBidPrice.gte(spreadInfo.bestAskPrice);
debugInfo.isCrossed = isCrossed;
if (isCrossed) {
// Get fill quality metric based on direction
const fillQualityBpsStr =
direction === PositionDirection.LONG
? fillQualityInfo.takerBuyBpsFromOracle?.all
: fillQualityInfo.takerSellBpsFromOracle?.all;
if (
fillQualityBpsStr &&
fillQualityBpsStr !== 'null' &&
fillQualityBpsStr !== null
) {
const fillQualityBps = Math.round(
parseFloat(fillQualityBpsStr) * 100
); // mul 100 to maintain 2 sigfigs (1.23 bps = 0.000123)
debugInfo.fillQualityBps = fillQualityBps;
if (!isNaN(fillQualityBps)) {
const adjustment = oraclePrice
.muln(fillQualityBps)
.divn(10000 * 100); // adjustmentFactor is in bps
const adjustedOraclePrice = oraclePrice.add(adjustment);
// Update the oracle price in estimatedPrices
estimatedPrices.oraclePrice = adjustedOraclePrice;
debugInfo.adjustedOraclePrice = adjustedOraclePrice.toString();
debugInfo.appliedV2Adjustment = true;
}
}
}
} catch (error) {
logger.warn(
'Version 2: Failed to apply fill quality adjustment, using standard oracle:',
error
);
// Fall through to use unadjusted oracle
}
}
// Handle dynamic slippage tolerance calculation if needed
if (params.slippageTolerance === undefined) {
// Convert raw L2 to formatted L2 for slippage calculation
@@ -1028,6 +1116,62 @@ export const mapToMarketOrderParams = async (
baseAmount = amount.mul(BASE_PRECISION).div(estimatedPrices.entryPrice);
}
// Comprehensive debug logging
logger.info(
JSON.stringify({
event: 'auction_params_calculated',
requestParams: {
marketIndex: params.marketIndex,
marketType: params.marketType,
direction: direction === PositionDirection.LONG ? 'long' : 'short',
amount: params.amount,
assetType: params.assetType,
slippageTolerance: params.slippageTolerance,
apiVersion,
},
priceDiscovery: {
originalOraclePrice: debugInfo.originalOraclePrice,
finalOraclePrice: estimatedPrices.oraclePrice.toString(),
bestPrice: estimatedPrices.bestPrice.toString(),
entryPrice: estimatedPrices.entryPrice.toString(),
worstPrice: estimatedPrices.worstPrice.toString(),
markPrice: estimatedPrices.markPrice.toString(),
priceImpactBps: estimatedPrices.priceImpact.toString(),
},
v2CrossDetection:
apiVersion === 2
? {
isCrossed: debugInfo.isCrossed,
fillQualityBps: debugInfo.fillQualityBps,
adjustedOraclePrice: debugInfo.adjustedOraclePrice,
appliedAdjustment: debugInfo.appliedV2Adjustment,
fillQualityData: fillQualityInfo
? {
takerBuyBpsAll: fillQualityInfo.takerBuyBpsFromOracle?.all,
takerSellBpsAll:
fillQualityInfo.takerSellBpsFromOracle?.all,
}
: null,
}
: undefined,
auctionConfig: {
duration: params.auctionDuration,
startPriceOffset: params.auctionStartPriceOffset,
startPriceOffsetFrom: params.auctionStartPriceOffsetFrom,
endPriceOffset: params.auctionEndPriceOffset,
endPriceOffsetFrom: params.auctionEndPriceOffsetFrom,
slippageTolerance: processedSlippageTolerance,
isOracleOrder: params.isOracleOrder,
reduceOnly: params.reduceOnly ?? false,
allowInfSlippage: params.allowInfSlippage ?? false,
},
calculatedValues: {
baseAmount: baseAmount.toString(),
slippageToleranceFinal: processedSlippageTolerance,
},
})
);
return {
success: true,
data: {