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9x 9x 11x 22x 22x 22x 22x 22x 58x 22x 22x 47x 22x 22x 22x 22x 22x 58x 58x 58x 58x 58x 58x 58x 33x 33x 22x 4x 4x 4x 4x 4x 4x 3x 3x 3x 3x 3x 3x 3x 3x 3x 4x 9x 9x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 9x 9x 9x 9x 9x 9x 9x 4x 18x 18x 18x 54x 6x 6x 48x 48x 12x 12x 36x 2x 2x 2x 2x 2x 2x 2x 2x 2x 15x 15x 15x 15x 3x 3x 3x 3x 3x 12x 3x 3x 3x 4x 3x 3x 3x 4x 4x 4x 4x 4x 4x 4x 4x 4x 4x 4x 4x 4x 4x 4x 4x 8x 8x 8x 15x 15x 15x 15x 15x 33x 90x 15x 15x 15x 15x 15x 15x 15x 15x 12x 12x 12x 12x 3x 3x 3x 3x 3x | import { autoInjectable, inject, singleton } from "tsyringe";
import { tokens } from "../../registry/tokens.js";
import {
AccountSummaryEventV2,
MetricsArray,
MetricsMap,
SummaryArray,
SummaryMap,
MetricsValue,
SummaryValue,
} from "./account-summary-event.js";
import type { Logger } from "pino";
import { AppDataSourceService } from "./data-source.js";
import { AccountSummaryEntity } from "../entity/account.summary.entity.js";
import { AccountSummaryDbStore } from "../store/summary-db.store.js";
import { AccountSummaryRedisStore } from "../store/summary-redis.store.js";
import type { KafkaProducer } from "../../commons/interfaces/kafka-producer.base.js";
import { GtiEvent } from "./gti-event.js";
import { MoreThan, Repository } from "typeorm";
// import { BackfillCacheService } from "./backfill-cache.service.js";
import { Result } from "../../tr8-script/domain/utils/types.js";
import { RedisProcessedEventStore } from "../store/processed-redis.store.js";
import { AmountMapper } from "../../commons/mappers/amount.mapper.js";
import {
plus,
minus,
times,
divide,
absolute,
} from "../../tr8-script/domain/utils/math.js";
import { Amount } from "../../tr8-script/domain/value.js";
import { TransactionLogService } from "./transaction-log.service.js";
interface ProcessingContext {
event: AccountSummaryEventV2;
bookId: string;
transactionTime: Date;
transactionDateOnly: Date;
scriptId: string;
partition: number;
offset: string;
summaryMap: SummaryMap;
metricsMap: MetricsMap;
order_side: string;
trade_type: string;
ticker: string;
price: Amount;
share_quantity: Amount;
asset_average_costs_basis?: Amount;
prefix: string;
fee: Amount;
is_canceled: boolean;
position_intent: string;
}
@singleton()
@autoInjectable()
class AccountSummaryEventHandlerClean {
private cancelHandler?: {
handle: (
event: AccountSummaryEventV2,
partition: number,
offset: string,
) => Promise<Result<AccountSummaryEntity[], Error>>;
}; // Will be lazily loaded
constructor(
@inject(tokens.Logger) private readonly logger: Logger,
private appDataSourceService: AppDataSourceService,
private readonly accountSummaryDbStore: AccountSummaryDbStore,
private accountSummaryRedisStore: AccountSummaryRedisStore,
private processedRedisStore: RedisProcessedEventStore,
@inject(tokens.GtiEventProducer)
private readonly gtiEventProducer: KafkaProducer<GtiEvent>,
private readonly transactionLogService: TransactionLogService,
) {
// private backfillCacheService: BackfillCacheService,
}
async sendToGtiEvent(events: AccountSummaryEntity[]): Promise<void> {
this.logger.info({ events }, "sendToGtiEvent events");
if (!events.length) return;
const latestEventsMap = this.buildLatestEventsMap(events);
this.logger.info(
{ latestEventsMap: Object.fromEntries(latestEventsMap) },
"sendToGtiEvent latestEventsMap",
);
for (const event of latestEventsMap.values()) {
this.logger.info({ event }, "sendToGtiEvent processing event");
if (this.shouldSkipGtiEvent(event.book_id)) {
this.logger.info(
{ book_id: event.book_id },
"Skipping event with book_id",
);
continue;
}
const gtiEvent = this.buildGtiEvent(event);
await this.gtiEventProducer.send(gtiEvent);
}
}
private isCancelEvent(event: AccountSummaryEventV2): boolean {
try {
const metadata =
typeof event.metadata === "string"
? JSON.parse(event.metadata)
: event.metadata;
// Accept both "true" and "1" as valid is_canceled values
const isCanceled =
metadata?.is_canceled === "true" || metadata?.is_canceled === "1";
// Use alpaca_non_trade_event_id as the canonical identifier for cancel events
// This is consistent across all events from Alpaca
const alpacaEventId = metadata?.alpaca_non_trade_event_id;
return isCanceled && !!alpacaEventId;
} catch {
return false;
}
}
private async getCancelHandler() {
if (!this.cancelHandler) {
// Lazy load to avoid circular dependency
const { AccountSummaryEventHandlerWithCancel } = await import(
"./account-summary-event-handler-with-cancel.js"
);
const { container } = await import("tsyringe");
this.cancelHandler = container.resolve(
AccountSummaryEventHandlerWithCancel,
);
}
return this.cancelHandler;
}
async handle(
event: AccountSummaryEventV2,
partition: number,
offset: string,
): Promise<Result<AccountSummaryEntity[], Error>> {
try {
// Check if this is a cancel event - delegate to cancel handler
Iif (this.isCancelEvent(event)) {
this.logger.info(
{},
"[AccountSummaryHandler] Detected cancel event, delegating to cancel handler",
);
const cancelHandler = await this.getCancelHandler();
return await cancelHandler.handle(event, partition, offset);
}
// Early validation and duplicate check
const validationResult = await this.validateAndCheckDuplicate(
event,
partition,
offset,
);
Iif (!validationResult.ok) {
return validationResult;
}
if (validationResult.value.isDuplicate) {
return { ok: true, value: [] };
}
const bookIds = this.extractBookIds(event);
if (
bookIds.length === 0 &&
(!event.metrics || event.metrics.length === 0)
) {
return {
ok: false,
error: new Error("No bookIds and no metrics to process"),
};
}
const processedSummaries: AccountSummaryEntity[] = [];
const bookIdErrors: Error[] = [];
for (const bookId of bookIds) {
const context = this.createProcessingContext(
event,
bookId,
partition,
offset,
);
const bookResult = await this.processBookId(context);
if (bookResult.ok) {
processedSummaries.push(...bookResult.value);
} else E{
this.logger.error(
{ err: bookResult.error, bookId },
"Failed to process bookId",
);
bookIdErrors.push(bookResult.error);
}
}
// If any bookId processing failed, return error to trigger DLQ
Iif (bookIdErrors.length > 0) {
const errorMessages = bookIdErrors.map((e) => e.message).join("; ");
return {
ok: false,
error: new Error(
`Failed to process ${bookIdErrors.length}/${bookIds.length} bookId(s): ${errorMessages}`,
),
};
}
// Save transaction to log BEFORE saving summary to prevent double-processing on retry
// If txlog fails, summary won't be saved yet, so retry will be safe
const txLogResult = await this.saveTransactionToLog(event);
Iif (!txLogResult.ok) {
return { ok: false, error: txLogResult.error };
}
const mergedResults = await this.mergeAndSaveResults(processedSummaries);
// Save processed event, send to GTI, and update backfill
const finalizeResult = await this.finalizeProcessing(
event,
partition,
offset,
mergedResults,
);
Iif (!finalizeResult.ok) {
return { ok: false, error: finalizeResult.error };
}
return { ok: true, value: mergedResults };
} catch (err) {
this.logger.error(
{ err },
"[AccountSummaryHandler] Failed to handle event",
);
return { ok: false, error: err as Error };
}
}
// ===== PRIVATE HELPER METHODS =====
private async saveTransactionToLog(
event: AccountSummaryEventV2,
): Promise<Result<void, Error>> {
try {
// Check if txlog already exists for this event (idempotency check for retries)
const existingTxLogs = await this.transactionLogService.findAllByEventId(
event.id,
);
Iif (existingTxLogs.length > 0) {
this.logger.info(
{ eventId: event.id, count: existingTxLogs.length },
"[AccountSummaryHandler] Transaction log already exists, skipping save",
);
return { ok: true, value: undefined };
}
const transactionDetails =
this.transactionLogService.extractTransactionDetails(event);
for (const details of transactionDetails) {
const result = await this.transactionLogService.saveTransaction(
details,
);
if (!result.ok) {
this.logger.error(
{ err: result.error, eventId: event.id },
"[AccountSummaryHandler] Failed to save transaction to log",
);
return { ok: false, error: result.error };
}
}
return { ok: true, value: undefined };
} catch (err) {
this.logger.error(
{ err, eventId: event.id },
"[AccountSummaryHandler] Error saving transaction to log",
);
return { ok: false, error: err as Error };
}
}
private buildLatestEventsMap(
events: AccountSummaryEntity[],
): Map<string, AccountSummaryEntity> {
return events.reduce((map, event) => {
Iif (!event.transaction_time) return map;
const existing = map.get(event.book_id);
Eif (!existing || event.transaction_time > existing.transaction_time!) {
map.set(event.book_id, event);
}
return map;
}, new Map<string, AccountSummaryEntity>());
}
private shouldSkipGtiEvent(bookId: string): boolean {
return bookId.includes("gotrade");
}
private buildGtiEvent(event: AccountSummaryEntity): GtiEvent {
return {
book_id: event.book_id,
summary: event.summary
? event.summary.map(({ account_id, value }) => ({
account_id,
value,
}))
: [],
transaction_time: new Date(event.transaction_time!).toISOString(),
metrics: event.metrics.map(
({ account_id, book_type, book_id, amount }) => ({
account_id,
book_type,
book_id,
value: amount,
}),
),
};
}
private async validateAndCheckDuplicate(
event: AccountSummaryEventV2,
partition: number,
offset: string,
): Promise<Result<{ isDuplicate: boolean }, Error>> {
const eventId = `${partition}#${offset}#${event.id}`;
const processedEvent = await this.processedRedisStore.get(eventId);
Iif (!processedEvent.ok) {
this.logger.error(
{ err: processedEvent.error },
"[AccountSummaryHandler] Failed to get from Redis",
);
return { ok: false, error: processedEvent.error };
}
if (processedEvent.value != null) {
this.logger.info(
{ processedEvent: processedEvent.value },
"processedEvent found",
);
const incomingOffset = BigInt(offset);
const existingOffset = BigInt(processedEvent.value.offset);
if (incomingOffset <= existingOffset) {
this.logger.info(
{
offset,
existingOffset: processedEvent.value.offset,
scriptId: event.id,
},
"[AccountSummaryHandler] Skipping event: offset <= existing offset",
);
return { ok: true, value: { isDuplicate: true } };
}
}
return { ok: true, value: { isDuplicate: false } };
}
private extractBookIds(event: AccountSummaryEventV2): string[] {
const txlogBookIds = (event.txlogs ?? [])
.map((tx) => tx.book?.book)
.filter((id): id is string => typeof id === "string");
const metricBookIds = (event.metrics ?? [])
.map((metric) => metric.book?.book)
.filter((id): id is string => typeof id === "string");
return Array.from(new Set([...txlogBookIds, ...metricBookIds]));
}
private createProcessingContext(
event: AccountSummaryEventV2,
bookId: string,
partition: number,
offset: string,
): ProcessingContext {
const metadata =
typeof event.metadata === "string"
? JSON.parse(event.metadata)
: event.metadata;
this.logger.info({ metadata }, "[METADATA] Raw metadata");
const transactionTime = new Date(metadata.transaction_time);
const transactionDateOnly = new Date(transactionTime);
transactionDateOnly.setHours(0, 0, 0, 0);
// Handle both trading and non-trading metadata formats with safe defaults
const order_side = metadata.order_side || "unknown";
const trade_type = metadata.trade_type || "unknown";
const ticker = metadata.ticker || metadata.symbol || "unknown";
const is_canceled: boolean = metadata?.is_canceled === "true";
const position_intent = metadata.position_intent || "unknown";
// Helper function to convert decimal string to Amount with proper scale
const parseDecimalToAmount = (value: string): Amount => {
Iif (!value || value === "0") {
return AmountMapper.fromDTO({ amount: "0", scale: "0" });
}
// Handle decimal values by converting to integer with appropriate scale
const decimalParts = value.split(".");
if (decimalParts.length === 1) {
// No decimal part, use scale 0
return AmountMapper.fromDTO({ amount: value, scale: "0" });
} else E{
// Has decimal part, calculate scale and convert to integer
const integerPart = decimalParts[0] || "0";
const decimalPart = decimalParts[1] || "";
const scale = decimalPart.length;
const amountAsInteger = integerPart + decimalPart;
return AmountMapper.fromDTO({
amount: amountAsInteger,
scale: scale.toString(),
});
}
};
const price = metadata.price
? parseDecimalToAmount(metadata.price.toString())
: AmountMapper.fromDTO({ amount: "0", scale: "0" });
const share_quantity = metadata.share_quantity
? parseDecimalToAmount(metadata.share_quantity.toString())
: AmountMapper.fromDTO({ amount: "0", scale: "0" });
const prefix = metadata.prefix || "gti-production-ledger";
const fee = metadata.fee
? parseDecimalToAmount(metadata.fee.toString())
: AmountMapper.fromDTO({ amount: "0", scale: "0" });
this.logger.info(
`[METADATA] Extracted values: order_side=${order_side}, trade_type=${trade_type}, ticker=${
metadata.ticker || "0"
} (parsed: ${AmountMapper.toDTO(price).amount}), share_quantity=${
metadata.share_quantity || "0"
} (parsed: ${AmountMapper.toDTO(share_quantity).amount})`,
);
return {
event,
bookId,
transactionTime,
transactionDateOnly,
scriptId: event.id,
partition,
offset,
summaryMap: new Map(),
metricsMap: new Map(),
order_side,
trade_type,
ticker,
price,
share_quantity,
prefix,
fee,
is_canceled,
position_intent,
};
}
private async processBookId(
context: ProcessingContext,
): Promise<Result<AccountSummaryEntity[], Error>> {
const repository =
this.appDataSourceService.AppDataSource.getRepository(
AccountSummaryEntity,
);
// Get latest account summary
const latestSummary = await this.getLatestAccountSummary(context.bookId);
this.logger.info({ latestSummary }, "latestAccountSummary BEFORE txlog");
const scenario = this.determineProcessingScenario(context, latestSummary);
switch (scenario) {
case "backfill":
return await this.processBackfillScenario(context, repository);
case "same_day":
return await this.processSameDayScenario(context, latestSummary);
case "future_day":
return await this.processFutureDayScenario(
context,
latestSummary,
repository,
);
case "new_summary":
return await this.processNewSummaryScenario(context, repository);
default:
return { ok: false, error: new Error(`Unknown scenario: ${scenario}`) };
}
}
private async getLatestAccountSummary(
bookId: string,
): Promise<AccountSummaryEntity | null> {
// Try Redis first
let latestSummary =
await this.accountSummaryRedisStore.getLatestAccountSummaryRedis(bookId);
// Fallback to DB if not in Redis
Iif (!latestSummary) {
const repository =
this.appDataSourceService.AppDataSource.getRepository(
AccountSummaryEntity,
);
latestSummary = await this.accountSummaryDbStore.getLatestAccountSummary(
repository,
bookId,
);
}
return latestSummary;
}
private determineProcessingScenario(
context: ProcessingContext,
latestSummary: AccountSummaryEntity | null,
): "backfill" | "same_day" | "future_day" | "new_summary" {
Iif (!latestSummary) {
return "new_summary";
}
const latestSummaryDate = new Date(
latestSummary.transaction_time ?? new Date(),
);
const latestSummaryDateOnly = new Date(latestSummaryDate);
latestSummaryDateOnly.setHours(0, 0, 0, 0);
const daysDifference = Math.floor(
(context.transactionDateOnly.getTime() -
latestSummaryDateOnly.getTime()) /
(1000 * 60 * 60 * 24),
);
Iif (daysDifference < 0) {
return "backfill";
} else if (daysDifference === 0) {
return "same_day";
} else if (daysDifference > 0) {
return "future_day";
} else E{
return "new_summary";
}
}
private async processBackfillScenario(
context: ProcessingContext,
repository: Repository<AccountSummaryEntity>,
): Promise<Result<AccountSummaryEntity[], Error>> {
const updatedSummaries: AccountSummaryEntity[] = [];
// 1. Check if a summary for this exact transaction time already exists
const summaryForTransactionTime = await this.getSummaryAtTxTime(
context.bookId,
context.transactionTime,
);
let baseSummary: AccountSummaryEntity | null = null;
if (summaryForTransactionTime) {
// Path A: A summary for today (the backfill day) already exists. Use it as the base.
baseSummary = summaryForTransactionTime;
this.populateMapsFromSummary(context, summaryForTransactionTime);
} else {
// Path B: No summary for today. Use the summary from the day before as the base.
const lastSummaryBeforeTransaction =
await this.getSummaryBeforeTransaction(
context.bookId,
context.transactionTime,
);
if (lastSummaryBeforeTransaction) {
baseSummary = lastSummaryBeforeTransaction;
this.populateMapsFromSummary(context, lastSummaryBeforeTransaction);
}
}
// 2. Save snapshot before mutation
const beforeSummary = baseSummary?.summary
? baseSummary.summary.map((e) => ({ ...e }))
: [];
const beforeMetrics = baseSummary?.metrics
? baseSummary.metrics.map((m) => ({ ...m }))
: [];
// 3. Apply the changes from the current event to the established base
this.updateSummaryWithTxlogs(context);
this.updateMetricsWithTxlogs(context);
// 4. Create or update the summary for the backfill time
let updatedBackfillSummary: AccountSummaryEntity;
if (summaryForTransactionTime) {
// We started with an existing summary, so we update it
updatedBackfillSummary = this.updateExistingSummary(
summaryForTransactionTime,
context,
);
} else {
// We started from a previous day (or nothing), so we create a new summary
const summaryArray = this.summaryMapToArray(context.summaryMap);
const metricsArray = this.metricsMapToArray(context.metricsMap);
updatedBackfillSummary = this.createNewSummary(
repository,
context,
summaryArray,
metricsArray,
);
}
updatedSummaries.push(updatedBackfillSummary);
// 5. Calculate changes introduced by this event
const summaryChangesMap = this.calculateChangesMap(
updatedBackfillSummary.summary ?? undefined,
beforeSummary,
);
const metricsChangesMap = this.calculateChangesMap(
updatedBackfillSummary.metrics ?? undefined,
beforeMetrics,
);
this.logger.info(
`[processBackfillScenario] Summary changes keys: ${Array.from(
summaryChangesMap.keys(),
).join(", ")}`,
);
this.logger.info(
`[processBackfillScenario] Metrics changes keys: ${Array.from(
metricsChangesMap.keys(),
).join(", ")}`,
);
// 6. Propagate changes to all future summaries
const futureItems = await this.getFutureAccountSummaries(
context.bookId,
context.transactionTime,
);
const correctedFuture: AccountSummaryEntity[] = [];
for (const item of futureItems) {
// --- Summary ---
const baseSummaryMap: SummaryMap = new Map();
(item.summary ?? []).forEach(({ account_id, value, scale }) => {
baseSummaryMap.set(account_id, { value, scale });
});
const newSummaryMap = this.applyChangesMap(
baseSummaryMap,
summaryChangesMap,
context.bookId,
) as SummaryMap;
// --- Metrics ---
const baseMetricsMap: MetricsMap = new Map();
(item.metrics ?? []).forEach(
({ account_id, book_type, book_id, amount, scale }) => {
baseMetricsMap.set(account_id, { book_type, book_id, amount, scale });
},
);
const newMetricsMap = this.applyChangesMap(
baseMetricsMap,
metricsChangesMap,
context.bookId,
) as MetricsMap;
const tmpCtx: ProcessingContext = {
...context,
bookId: item.book_id,
transactionTime: item.transaction_time!,
scriptId: item.latest_journal_id!,
partition: item.partition,
offset: item.offset,
summaryMap: newSummaryMap,
metricsMap: newMetricsMap,
};
correctedFuture.push(this.updateExistingSummary(item, tmpCtx));
}
updatedSummaries.push(...correctedFuture);
this.logger.info(
`[processBackfillScenario] Updated ${updatedSummaries.length} summaries (1 backfill + ${correctedFuture.length} future)`,
);
return { ok: true, value: updatedSummaries };
}
private async processSameDayScenario(
context: ProcessingContext,
latestSummary: AccountSummaryEntity | null,
): Promise<Result<AccountSummaryEntity[], Error>> {
Iif (!latestSummary) {
return {
ok: false,
error: new Error("Latest summary is null for same-day scenario"),
};
}
// Save snapshot before mutation
const beforeSummary = latestSummary.summary
? latestSummary.summary.map((e) => ({ ...e }))
: [];
const beforeMetrics = latestSummary.metrics
? latestSummary.metrics.map((m) => ({ ...m }))
: [];
// Update summary today with txlog & metrics
this.populateMapsFromSummary(context, latestSummary);
this.updateSummaryWithTxlogs(context);
this.updateMetricsWithTxlogs(context);
const updatedToday = this.updateExistingSummary(latestSummary, context);
// Calculate changes introduced by this event
const summaryChangesMap = this.calculateChangesMap(
updatedToday.summary ?? undefined,
beforeSummary,
);
const metricsChangesMap = this.calculateChangesMap(
updatedToday.metrics ?? undefined,
beforeMetrics,
);
// Propagate changes to all future snapshots
const futureItems = await this.getFutureAccountSummaries(
context.bookId,
context.transactionTime,
);
const correctedFuture: AccountSummaryEntity[] = [];
for (const item of futureItems) {
// --- Summary ---
const baseSummaryMap: SummaryMap = new Map();
(item.summary ?? []).forEach(({ account_id, value, scale }) => {
baseSummaryMap.set(account_id, { value, scale });
});
const newSummaryMap = this.applyChangesMap(
baseSummaryMap,
summaryChangesMap,
context.bookId,
) as SummaryMap;
// --- Metrics ---
const baseMetricsMap: MetricsMap = new Map();
(item.metrics ?? []).forEach(
({ account_id, book_type, book_id, amount, scale }) => {
baseMetricsMap.set(account_id, { book_type, book_id, amount, scale });
},
);
const newMetricsMap = this.applyChangesMap(
baseMetricsMap,
metricsChangesMap,
context.bookId,
) as MetricsMap;
const tmpCtx: ProcessingContext = {
...context,
bookId: item.book_id,
transactionTime: item.transaction_time!,
scriptId: item.latest_journal_id!,
partition: item.partition,
offset: item.offset,
summaryMap: newSummaryMap,
metricsMap: newMetricsMap,
};
correctedFuture.push(this.updateExistingSummary(item, tmpCtx));
}
// Return results
return { ok: true, value: [updatedToday, ...correctedFuture] };
}
/**
* Processes an event whose transaction date is AFTER the latest snapshot date.
*
* FIX: Previously this method used computeChanges() + propagateChangesToFutureDays()
* which computed raw BigInt diffs without preserving scale information. When the
* existing snapshot had a different scale (e.g. scale 2) than the txlog change
* (e.g. scale 12), the raw diff was meaningless and corrupted future snapshots.
*
* Example of the old bug:
* - Before: C-FC = 2957 (scale 2, i.e. $29.57)
* - After updateSummaryWithTxlogs: C-FC = 18000000000000 (scale 12, i.e. $18.00)
* - Old computeChanges: diff = 18000000000000 - 2957 = 17999999997043 (meaningless)
* - Old propagation: future C-FC = 2957 + 17999999997043 = 18000000000000, scale stays "2"
* → $180,000,000,000 instead of $18.00
*
* Now uses calculateChangesMap() (returns Map<string, Amount> with scale) +
* applyChangesMap() (uses plus() via Dinero.js for scale-aware arithmetic),
* consistent with processSameDayScenario and processBackfillScenario.
*/
private async processFutureDayScenario(
context: ProcessingContext,
latestSummary: AccountSummaryEntity | null,
repository: Repository<AccountSummaryEntity>,
): Promise<Result<AccountSummaryEntity[], Error>> {
Iif (!latestSummary) {
return {
ok: false,
error: new Error("Latest summary is null for future day scenario"),
};
}
// Load current state into summaryMap / metricsMap
this.populateMapsFromSummary(context, latestSummary);
// Save snapshot before mutation (as SummaryArray/MetricsArray to preserve scale)
const beforeSummary = latestSummary.summary
? latestSummary.summary.map((e) => ({ ...e }))
: [];
const beforeMetrics = latestSummary.metrics
? latestSummary.metrics.map((m) => ({ ...m }))
: [];
// Update maps with txlogs & metrics event
this.updateSummaryWithTxlogs(context);
this.updateMetricsWithTxlogs(context);
// Save today's snapshot
const summaryArray = this.summaryMapToArray(context.summaryMap);
const metricsArray = this.metricsMapToArray(context.metricsMap);
const todaySummary = this.createNewSummary(
repository,
context,
summaryArray,
metricsArray,
);
// Calculate scale-aware changes (Map<string, Amount>) using the same
// approach as processSameDayScenario and processBackfillScenario.
// This preserves scale info so propagation to future snapshots is correct.
const summaryChangesMap = this.calculateChangesMap(
todaySummary.summary ?? undefined,
beforeSummary,
);
const metricsChangesMap = this.calculateChangesMap(
todaySummary.metrics ?? undefined,
beforeMetrics,
);
// Propagate scale-aware changes to all future snapshots using applyChangesMap + plus()
const futureItems = await this.getFutureAccountSummaries(
context.bookId,
context.transactionTime,
);
const correctedFuture: AccountSummaryEntity[] = [];
for (const item of futureItems) {
// --- Summary ---
const baseSummaryMap: SummaryMap = new Map();
(item.summary ?? []).forEach(({ account_id, value, scale }) => {
baseSummaryMap.set(account_id, { value, scale });
});
const newSummaryMap = this.applyChangesMap(
baseSummaryMap,
summaryChangesMap,
context.bookId,
) as SummaryMap;
// --- Metrics ---
const baseMetricsMap: MetricsMap = new Map();
(item.metrics ?? []).forEach(
({ account_id, book_type, book_id, amount, scale }) => {
baseMetricsMap.set(account_id, { book_type, book_id, amount, scale });
},
);
const newMetricsMap = this.applyChangesMap(
baseMetricsMap,
metricsChangesMap,
context.bookId,
) as MetricsMap;
const tmpCtx: ProcessingContext = {
...context,
bookId: item.book_id,
transactionTime: item.transaction_time!,
scriptId: item.latest_journal_id!,
partition: item.partition,
offset: item.offset,
summaryMap: newSummaryMap,
metricsMap: newMetricsMap,
};
correctedFuture.push(this.updateExistingSummary(item, tmpCtx));
}
// Save updated future snapshots to Redis
if (correctedFuture.length > 0) {
await this.accountSummaryRedisStore.set(context.bookId, correctedFuture);
}
this.logger.info(
"[processFutureDayScenario] Final summary before return:",
todaySummary.summary,
);
return { ok: true, value: [todaySummary, ...correctedFuture] };
}
private async processNewSummaryScenario(
context: ProcessingContext,
repository: Repository<AccountSummaryEntity>,
): Promise<Result<AccountSummaryEntity[], Error>> {
this.buildSummaryFromTxlogs(context);
this.buildMetricsFromTxlogs(context);
const summaryArray = this.summaryMapToArray(context.summaryMap);
const metricsArray = this.metricsMapToArray(context.metricsMap);
const summary = this.createNewSummary(
repository,
context,
summaryArray,
metricsArray,
);
this.logger.info(
"[processNewSummaryScenario] Final summary before return:",
summary.summary,
);
return { ok: true, value: [summary] };
}
// ===== BUSINESS LOGIC METHODS (moved from stores) =====
private buildSummaryFromTxlogs(context: ProcessingContext): void {
for (const tx of context.event.txlogs.filter(
(tx) => tx.book.book === context.bookId,
)) {
const key = tx.account;
const amountDto = AmountMapper.fromDTO({
amount: tx.change.amount.toString(),
scale: tx.change.scale.toString(),
});
context.summaryMap.set(key, {
value: AmountMapper.toDTO(amountDto).amount,
scale: AmountMapper.toDTO(amountDto).scale,
});
}
}
private updateSummaryWithTxlogs(context: ProcessingContext): void {
for (const tx of context.event.txlogs.filter(
(tx) => tx.book.book === context.bookId,
)) {
const key = tx.account;
const existingSummary = context.summaryMap.get(key) || {
value: "0",
scale: "0",
};
const existingAmount = AmountMapper.fromDTO({
amount: existingSummary.value.toString(),
scale: existingSummary.scale.toString(),
});
const changeAmount = AmountMapper.fromDTO({
amount: tx.change.amount.toString(),
scale: tx.change.scale.toString(),
});
const newAmount = plus(existingAmount, changeAmount) as Amount;
context.summaryMap.set(key, {
value: AmountMapper.toDTO(newAmount).amount,
scale: AmountMapper.toDTO(newAmount).scale,
});
}
}
private buildMetricsFromTxlogs(context: ProcessingContext): void {
for (const metric of context.event.metrics.filter(
(m) => m.book.book === context.bookId,
)) {
const key = metric.account;
const amountDto = AmountMapper.fromDTO({
amount: metric.change.amount.toString(),
scale: metric.change.scale.toString(),
});
context.metricsMap.set(key, {
book_type: metric.book.type,
book_id: metric.book.book,
amount: AmountMapper.toDTO(amountDto).amount,
scale: AmountMapper.toDTO(amountDto).scale,
});
}
}
private updateMetricsWithTxlogs(context: ProcessingContext): void {
for (const metric of context.event.metrics.filter(
(m) => m.book.book === context.bookId,
)) {
const key = metric.account;
const existingMetric = context.metricsMap.get(key) || {
book_type: metric.book.type,
book_id: metric.book.book,
amount: "0",
scale: "0",
};
const existingAmount = AmountMapper.fromDTO({
amount: existingMetric.amount.toString(),
scale: existingMetric.scale.toString(),
});
const changeAmount = AmountMapper.fromDTO({
amount: metric.change.amount.toString(),
scale: metric.change.scale.toString(),
});
// Check if this metric has corresponding summary accounts
const totalQty = this.getTotalQuantity(key, changeAmount, context);
let newAmount: Amount;
// Check if this is OPASN or OPEXP event
const eventMetadata =
typeof context.event.metadata === "string"
? JSON.parse(context.event.metadata)
: context.event.metadata;
const isOpasn = eventMetadata?.event_type === "OPASN";
const isOpexp = eventMetadata?.event_type === "OPEXP";
// Special handling for buy_to_close, OPASN, and OPEXP with positive ADD on cost basis
// Example: Short @ 500, buy to close 1 contract, cost basis -1000 should become -500
if (
key.includes("OP-OWN-") &&
key.includes("COST-BASIS") &&
(context.position_intent === "buy_to_close" || isOpasn || isOpexp) &&
changeAmount.amount > 0n &&
existingAmount.amount < 0n // Cost basis is negative (short position)
) {
// Use the same formula as calculateCostBasisFormula
// Formula: CurrentValue - (SubQty * (CurrentValue/TotalQty))
// But we need to calculate using absolute values and then add
// For buy_to_close short position:
// existingAmount is negative (e.g., -1000 for 2 contracts shorted)
// changeAmount is positive qty being closed (e.g., 1)
// We use formula: valuePerUnit = existingAmount / totalQty
// reductionAmount = changeAmount * valuePerUnit
// newAmount = existingAmount + reductionAmount
// Calculate using the formula similar to calculateCostBasisFormula
// valuePerUnit = currentValue / totalQty
// const absChangeAmount = changeAmount; // positive qty
// Use formula: reduction = changeQty * (existingAmount / (existingAmount/changeQty + changeQty))
// Simplified: For short positions, calculate proportional cost basis removal
// Actually, use the same pattern as calculateCostBasisFormula:
// newValue = currentValue - (subQty * (currentValue/totalQty))
// For buy_to_close: newValue = existingAmount + (closeQty * (existingAmount/totalQtyBefore))
// Since we're dealing with metrics ADD command with positive value,
// we need to calculate: howMuch cost basis to ADD (reduce the negative)
// Formula: abs(existingAmount / (totalQty/closeQty)) * closeQty
// = abs(existingAmount) / totalQty * closeQty
// Get totalQty from summary - this is AFTER txlog update, so we need to add back the change
const totalQtyAfter = this.getTotalQuantity(key, changeAmount, context);
// Calculate totalQtyBefore for both cases (partial and full close)
let totalQtyBefore: Amount;
if (totalQtyAfter && totalQtyAfter.amount !== 0n) {
// Partial close: Total qty BEFORE = totalQtyAfter - changeAmount
// For short: -1 (after) - 1 (close) = -2 (before)
totalQtyBefore = minus(totalQtyAfter, changeAmount) as Amount;
} else E{
// Full close: totalQtyAfter = 0, so totalQtyBefore = 0 - changeAmount = -changeAmount
// For short closing 1: 0 - 1 = -1 (before)
totalQtyBefore = {
amount: -changeAmount.amount,
scale: changeAmount.scale,
} as Amount;
}
const logPrefix = isOpasn
? "[OPASN]"
: isOpexp
? "[OPEXP]"
: "[BUY-TO-CLOSE]";
this.logger.info(
`${logPrefix} Qty calculation: totalQtyAfter=${
totalQtyAfter ? AmountMapper.toDTO(totalQtyAfter).amount : "0"
}, changeQty=${
AmountMapper.toDTO(changeAmount).amount
}, totalQtyBefore=${AmountMapper.toDTO(totalQtyBefore).amount}`,
);
if (totalQtyBefore.amount !== 0n) {
// Calculate average cost basis per contract: existingAmount / totalQtyBefore
const valuePerUnit = divide(existingAmount, totalQtyBefore) as Amount;
// Calculate reduction amount: changeQty * valuePerUnit
const reductionAmount = times(changeAmount, valuePerUnit) as Amount;
// Add to existing (reducing the negative value)
newAmount = plus(existingAmount, reductionAmount) as Amount;
this.logger.info(
`${logPrefix} Applied calculateCostBasisFormula logic for ${key}: ` +
`existingAmount=${AmountMapper.toDTO(existingAmount).amount}, ` +
`totalQtyBefore=${AmountMapper.toDTO(totalQtyBefore).amount}, ` +
`changeQty=${AmountMapper.toDTO(changeAmount).amount}, ` +
`valuePerUnit=${AmountMapper.toDTO(valuePerUnit).amount}, ` +
`reductionAmount=${
AmountMapper.toDTO(reductionAmount).amount
}, ` +
`newAmount=${AmountMapper.toDTO(newAmount).amount}`,
);
} else E{
// Should never happen, but fallback just in case
newAmount = plus(existingAmount, changeAmount) as Amount;
this.logger.warn(
`${logPrefix} TotalQtyBefore is 0 for ${key}, using normal calculation`,
);
}
I} else if (
// Special handling for cost basis metrics with sell orders that have valid trading metadata
key.includes("COST-BASIS") &&
context.order_side === "sell" &&
context.position_intent !== "sell_to_open" &&
context.ticker &&
context.price &&
this.isNegativeChange(changeAmount)
) {
// For sell orders, calculate the proper cost basis reduction based on proportional shares sold
// Get the correct total quantity for calculating average cost basis
const correctTotalQty = this.getTotalQuantity(
key,
changeAmount,
context,
);
let costBasisReduction: Amount;
if (correctTotalQty && correctTotalQty.amount > 0n) {
// Calculate average cost basis per share
const asset_average_costs_basis = divide(
existingAmount,
correctTotalQty,
) as Amount;
// Calculate cost basis reduction for the quantity being sold
costBasisReduction = times(
asset_average_costs_basis,
context.share_quantity,
) as Amount;
// Make it negative for reduction
costBasisReduction = {
amount: -costBasisReduction.amount,
scale: costBasisReduction.scale,
};
} else {
// Fallback: use direct txlog change
costBasisReduction = changeAmount;
}
newAmount = plus(existingAmount, costBasisReduction) as Amount;
this.logger.info(
`Cost basis calculated reduction for sell order ${key}: ${
AmountMapper.toDTO(existingAmount).amount
} + ${AmountMapper.toDTO(costBasisReduction).amount} = ${
AmountMapper.toDTO(newAmount).amount
} (sold ${AmountMapper.toDTO(context.share_quantity).amount} shares)`,
);
} else if (
this.isNegativeChange(changeAmount) &&
context.position_intent !== "sell_to_open" &&
totalQty &&
totalQty.amount !== 0n
) {
// Apply negative metric formula ONLY if we have valid quantity accounts
// Skip for sell_to_open (opening short position) - should use direct addition
newAmount = this.calculateCostBasisFormula(
context,
key,
existingAmount,
changeAmount,
totalQty,
);
this.logger.info(
`Negative metric calculation applied for ${key}: ${
AmountMapper.toDTO(newAmount).amount
}`,
);
} else {
// Fallback to normal calculation for:
// 1. Positive changes
// 2. Negative changes without corresponding summary accounts (like C-CSW)
// 3. Cases where totalQty is 0 or null
newAmount = plus(existingAmount, changeAmount) as Amount;
Eif (
this.isNegativeChange(changeAmount) &&
(!totalQty || totalQty.amount === 0n)
) {
this.logger.info(
`Using normal calculation for ${key} (no quantity accounts found): ${
AmountMapper.toDTO(existingAmount).amount
} + ${AmountMapper.toDTO(changeAmount).amount} = ${
AmountMapper.toDTO(newAmount).amount
}`,
);
}
}
context.metricsMap.set(key, {
book_type: existingMetric.book_type,
book_id: existingMetric.book_id,
amount: AmountMapper.toDTO(newAmount).amount,
scale: AmountMapper.toDTO(newAmount).scale,
});
// Process sell-side realized P&L logic for valid trading metadata
// Skip P&L calculation for sell_to_open (opening short position)
Iif (
context.order_side === "sell" &&
context.position_intent !== "sell_to_open" &&
key.includes("COST-BASIS")
) {
this.logger.info(
`[SELL-SIDE] Processing sell order for metric ${key}: ticker=${
context.ticker
}, price=${AmountMapper.toDTO(context.price).amount}, quantity=${
AmountMapper.toDTO(context.share_quantity).amount
}`,
);
// Calculate realized P&L using the correct formula:
// realized_pl_amount = (price * share_quantity) - (asset_average_costs_basis * share_quantity)
// Get the correct total quantity for calculating average cost basis
const correctTotalQty = this.getTotalQuantity(
key,
changeAmount,
context,
);
let asset_average_costs_basis: Amount;
if (correctTotalQty && correctTotalQty.amount > 0n) {
// Calculate average cost basis per share
asset_average_costs_basis = divide(
existingAmount,
correctTotalQty,
) as Amount;
} else {
// Fallback: use existing calculation
asset_average_costs_basis = this.getAverageCostsBasis(
totalQty,
existingAmount,
);
}
// Calculate cost basis for the quantity being sold
const costBasisForSale = times(
asset_average_costs_basis,
context.share_quantity,
) as Amount;
this.logger.info(
`[SELL-ORDER] Total quantity: ${
AmountMapper.toDTO(correctTotalQty || totalQty).amount
}, ` +
`Total cost basis: ${AmountMapper.toDTO(existingAmount).amount}, ` +
`Average cost basis per share: ${
AmountMapper.toDTO(asset_average_costs_basis).amount
}, ` +
`Cost basis for sale: ${
AmountMapper.toDTO(costBasisForSale).amount
}`,
);
const realized_pl_amount = this.calculateRealizedPnL(
context,
costBasisForSale,
);
this.logger.info(
`[SELL-SIDE] Calculated realized P&L for ${key}: ${
AmountMapper.toDTO(realized_pl_amount).amount
}`,
);
this.updateRealizedMetrics(context, realized_pl_amount);
}
// Process buy-side realized P&L logic for buy_to_close (closing short position)
// Also handle option expiry (event_type: OPEXP) and option assignment (event_type: OPASN)
// Note: eventMetadata is already defined above for OPASN/OPEXP detection
const isBuyToClose =
context.order_side === "buy" &&
context.position_intent === "buy_to_close";
if (
(isBuyToClose || isOpexp || isOpasn) &&
key.includes("COST-BASIS") &&
key.includes("OP-OWN-") // Only for options positions
) {
const logPrefix = isOpexp
? "[OPEXP]"
: isOpasn
? "[OPASN]"
: "[BUY-TO-CLOSE]";
this.logger.info(
`${logPrefix} Processing ${
isOpexp
? "option expiry"
: isOpasn
? "option assignment"
: "buy to close"
} for metric ${key}: existing=${
AmountMapper.toDTO(existingAmount).amount
}, change=${AmountMapper.toDTO(changeAmount).amount}, new=${
AmountMapper.toDTO(newAmount).amount
}`,
);
// For OPEXP (expire worthless), check if short or long position
Iif (isOpexp && newAmount.amount === 0n) {
// Extract ticker from cost basis account
// Format: C-TOTAL-COST-BASIS-OP-OWN-{TICKER}
const tickerMatch = key.match(/OP-OWN-(.+)-COST-BASIS$/);
const ticker = tickerMatch ? tickerMatch[1] : "";
// Check if this is a short position by looking for reserve release in txlogs
const hasReserveRelease = context.event.txlogs.some(
(txlog) =>
txlog.account.includes(`S-RES-OP-${ticker}`) ||
txlog.account.includes(`C-RES-OP-${ticker}`),
);
// Short position: cost basis is negative (premium received)
// Long position: cost basis is positive (premium paid)
// P&L = -existingAmount (inverse the cost basis)
const realized_pl_amount = {
amount: -existingAmount.amount,
scale: existingAmount.scale,
} as Amount;
const positionType = hasReserveRelease ? "SHORT" : "LONG";
this.logger.info(
`${logPrefix} ${positionType} position fully closed. Cost basis=${
AmountMapper.toDTO(existingAmount).amount
}, Realized P&L=${AmountMapper.toDTO(realized_pl_amount).amount}`,
);
this.updateRealizedMetrics(context, realized_pl_amount);
continue; // Skip normal buy-to-close calculation
}
// For buy to close, P&L = existing cost basis + (quantity × close_price)
// Example: Short @ $300 (cost basis = -300), Close @ $200 (add +200)
// Final cost basis = -300 + 200 = -100 (profit $100)
// The newAmount already contains the updated cost basis after adding the close transaction
// So we can calculate P&L from the change in cost basis
// Get the correct total quantity BEFORE close for calculating average cost basis
const totalQtyAfter = this.getTotalQuantity(key, changeAmount, context);
let asset_average_costs_basis: Amount;
if (totalQtyAfter && totalQtyAfter.amount !== 0n) {
// Calculate totalQty BEFORE close (same logic as cost basis calculation)
const totalQtyBefore = minus(totalQtyAfter, changeAmount) as Amount;
// Calculate average cost basis per share/contract
asset_average_costs_basis = divide(
existingAmount,
totalQtyBefore,
) as Amount;
} else E{
// Position fully closed, calculate from what we had before
// totalQtyBefore = 0 - changeAmount = -changeAmount
const totalQtyBefore = {
amount: -changeAmount.amount,
scale: changeAmount.scale,
} as Amount;
asset_average_costs_basis = divide(
existingAmount,
totalQtyBefore,
) as Amount;
}
// Calculate totalQtyBefore for logging
const totalQtyBeforeForLog = totalQtyAfter
? (minus(totalQtyAfter, changeAmount) as Amount)
: ({
amount: -changeAmount.amount,
scale: changeAmount.scale,
} as Amount);
this.logger.info(
`[BUY-TO-CLOSE] Total quantity before: ${
AmountMapper.toDTO(totalQtyBeforeForLog).amount
}, ` +
`Total cost basis before: ${
AmountMapper.toDTO(existingAmount).amount
}, ` +
`Average cost basis: ${
AmountMapper.toDTO(asset_average_costs_basis).amount
}`,
);
// Calculate P&L for buy to close (short position)
// Formula: (short_price × quantity) - (close_price × quantity)
// The avg_cost_basis is already positive because we divide negative cost basis by negative quantity
// Example: Short @ $5 per contract, 2 contracts = -1000 cost basis, -2 qty
// avg_cost_basis = -1000 / -2 = 500 (positive, per contract value)
const absoluteCostBasis = {
amount: asset_average_costs_basis.amount, // Already positive from division
scale: asset_average_costs_basis.scale,
} as Amount;
// Use changeAmount (filled quantity) not share_quantity (total order quantity)
// For partial fills, we only calculate P&L for the filled portion
const costBasisForClose = times(
absoluteCostBasis,
changeAmount, // Use filled qty, not total order qty
) as Amount;
// For buy to close, the formula is REVERSED:
// P&L = cost_basis - (close_price × quantity)
this.logger.info(
`[BUY-TO-CLOSE] BEFORE P&L calc: costBasisForClose=${
AmountMapper.toDTO(costBasisForClose).amount
}, changeAmount=${AmountMapper.toDTO(changeAmount).amount}`,
);
const realized_pl_amount = this.calculateRealizedPnLBuyToClose(
context,
costBasisForClose,
changeAmount, // Pass filled qty, not total order qty
);
this.logger.info(
`[BUY-TO-CLOSE] AFTER P&L calc, realized_pl_amount=${
AmountMapper.toDTO(realized_pl_amount).amount
}`,
);
this.updateRealizedMetrics(context, realized_pl_amount);
}
}
}
private populateMapsFromSummary(
context: ProcessingContext,
summary: AccountSummaryEntity,
): void {
Eif (summary.summary) {
for (const entry of summary.summary) {
context.summaryMap.set(entry.account_id, {
value: entry.value,
scale: entry.scale,
});
}
}
Eif (summary.metrics) {
for (const metric of summary.metrics) {
context.metricsMap.set(metric.account_id, {
book_type: metric.book_type,
book_id: metric.book_id,
amount: metric.amount,
scale: metric.scale,
});
}
}
}
private summaryMapToArray(summaryMap: SummaryMap): SummaryArray {
return Array.from(summaryMap.entries()).map(
([account_id, { value, scale }]) => ({
account_id,
value,
scale,
}),
);
}
private metricsMapToArray(metricsMap: MetricsMap): MetricsArray {
return Array.from(metricsMap.entries()).map(
([account_id, { book_type, book_id, amount, scale }]) => ({
account_id,
book_type,
book_id,
amount,
scale,
}),
);
}
private createNewSummary(
repository: Repository<AccountSummaryEntity>,
context: ProcessingContext,
summaryArray: SummaryArray,
metricsArray: MetricsArray,
): AccountSummaryEntity {
return repository.create({
book_id: context.bookId,
transaction_time: context.transactionTime,
summary: summaryArray,
latest_journal_id: context.scriptId,
partition: context.partition,
offset: context.offset,
metrics: metricsArray,
});
}
private updateExistingSummary(
summary: AccountSummaryEntity,
context: ProcessingContext,
): AccountSummaryEntity {
const summaryArray = this.summaryMapToArray(context.summaryMap);
const metricsArray = this.metricsMapToArray(context.metricsMap);
summary.summary = summaryArray;
summary.metrics = metricsArray;
summary.latest_journal_id = context.scriptId;
summary.transaction_time = context.transactionTime;
summary.partition = context.partition;
summary.offset = context.offset;
return summary;
}
private async getSummaryBeforeTransaction(
bookId: string,
transactionTime: Date,
): Promise<AccountSummaryEntity | null> {
// Try Redis first
let summary =
await this.accountSummaryRedisStore.getAccountSummariesBeforeRedis(
bookId,
transactionTime,
);
// Fallback to DB
if (!summary) {
const repository =
this.appDataSourceService.AppDataSource.getRepository(
AccountSummaryEntity,
);
summary = await this.accountSummaryDbStore.getSummaryLessThan(
repository,
bookId,
transactionTime,
);
}
return summary;
}
private async getFutureAccountSummaries(
bookId: string,
transactionTime: Date,
): Promise<AccountSummaryEntity[]> {
let futureAccountSummary: AccountSummaryEntity[] = [];
const redisResults =
await this.accountSummaryRedisStore.getAccountSummariesAfterRedis(
bookId,
transactionTime,
);
if (redisResults && redisResults.length > 0) {
futureAccountSummary = redisResults;
}
// Fallback to DB if not in Redis
if (futureAccountSummary.length === 0) {
const repository =
this.appDataSourceService.AppDataSource.getRepository(
AccountSummaryEntity,
);
const results = await repository.find({
where: {
book_id: bookId,
transaction_time: MoreThan(transactionTime),
},
order: { transaction_time: "ASC" },
});
futureAccountSummary = results.length > 0 ? results : [];
}
return futureAccountSummary;
}
// Helper to calculate the difference between two summary/metric arrays
private calculateChangesMap(
currentState?: SummaryArray | MetricsArray,
oldBaseState?: SummaryArray | MetricsArray,
): Map<string, Amount> {
const changesMap = new Map<string, Amount>();
type Item = SummaryArray[number] | MetricsArray[number];
const currentMap = new Map<string, Item>();
const oldBaseMap = new Map<string, Item>();
Eif (currentState) {
for (const item of currentState) {
currentMap.set(item.account_id, item);
}
}
Eif (oldBaseState) {
for (const item of oldBaseState) {
oldBaseMap.set(item.account_id, item);
}
}
const allKeys = new Set([...currentMap.keys(), ...oldBaseMap.keys()]);
this.logger.info(
`[calculateChangesMap] Current state keys: ${Array.from(
currentMap.keys(),
).join(", ")}`,
);
this.logger.info(
`[calculateChangesMap] Old base state keys: ${Array.from(
oldBaseMap.keys(),
).join(", ")}`,
);
this.logger.info(
`[calculateChangesMap] All keys to process: ${Array.from(allKeys).join(
", ",
)}`,
);
for (const key of allKeys) {
const currentItem = currentMap.get(key);
const oldItem = oldBaseMap.get(key);
const currentAmount = currentItem
? AmountMapper.fromDTO({
amount:
("value" in currentItem
? currentItem.value
: currentItem.amount) ?? "0",
scale: currentItem.scale ?? "0",
})
: AmountMapper.fromDTO({ amount: "0", scale: "0" });
const oldAmount = oldItem
? AmountMapper.fromDTO({
amount:
("value" in oldItem ? oldItem.value : oldItem.amount) ?? "0",
scale: oldItem.scale ?? "0",
})
: AmountMapper.fromDTO({ amount: "0", scale: "0" });
const change = minus(currentAmount, oldAmount) as Amount;
this.logger.info(
`[calculateChangesMap] Key: ${key}, Current: ${
AmountMapper.toDTO(currentAmount).amount
}, Old: ${AmountMapper.toDTO(oldAmount).amount}, Change: ${
AmountMapper.toDTO(change).amount
}`,
);
if (change.amount !== 0n) {
changesMap.set(key, change);
this.logger.info(
`[calculateChangesMap] Added change for ${key}: ${
AmountMapper.toDTO(change).amount
}`,
);
}
}
return changesMap;
}
// Helper to apply a changes map to a base map
private applyChangesMap(
baseMap: SummaryMap,
changesMap: Map<string, Amount>,
bookId: string,
): SummaryMap;
private applyChangesMap(
baseMap: MetricsMap,
changesMap: Map<string, Amount>,
bookId: string,
): MetricsMap;
private applyChangesMap(
baseMap: SummaryMap | MetricsMap,
changesMap: Map<string, Amount>,
bookId: string,
): SummaryMap | MetricsMap {
// Type guard to determine which kind of map we're dealing with.
// We check the structure of the first value in the map.
const firstValue = baseMap.values().next().value;
this.logger.info(
`[applyChangesMap] Base map keys: ${Array.from(baseMap.keys()).join(
", ",
)}`,
);
this.logger.info(
`[applyChangesMap] Changes map keys: ${Array.from(changesMap.keys()).join(
", ",
)}`,
);
// Handle MetricsMap
Iif (firstValue && "book_type" in firstValue) {
const resultMap = new Map(baseMap as MetricsMap);
for (const [accountId, change] of changesMap.entries()) {
const baseEntry = resultMap.get(accountId);
const baseAmountValue = baseEntry?.amount ?? "0";
const baseScaleValue = baseEntry?.scale ?? "0";
const baseAmount = AmountMapper.fromDTO({
amount: baseAmountValue,
scale: baseScaleValue,
});
const newAmount = plus(baseAmount, change) as Amount;
const newAmountDTO = AmountMapper.toDTO(newAmount);
this.logger.info(
`[applyChangesMap] Metrics ${accountId}: Base ${
AmountMapper.toDTO(baseAmount).amount
} + Change ${AmountMapper.toDTO(change).amount} = ${
newAmountDTO.amount
}`,
);
// We must preserve the other properties of the metric
const newMetric: MetricsValue = {
book_id: baseEntry?.book_id ?? bookId, // Use context bookId for new metrics
book_type: baseEntry?.book_type ?? "normal", // Default if new
...newAmountDTO,
};
resultMap.set(accountId, newMetric);
}
return resultMap;
}
// Handle SummaryMap (or an empty map)
const resultMap = new Map(baseMap as SummaryMap);
for (const [accountId, change] of changesMap.entries()) {
const baseEntry = resultMap.get(accountId);
const baseAmountValue = baseEntry?.value ?? "0";
const baseScaleValue = baseEntry?.scale ?? "0";
const baseAmount = AmountMapper.fromDTO({
amount: baseAmountValue,
scale: baseScaleValue,
});
const newAmount = plus(baseAmount, change) as Amount;
const newAmountDTO = AmountMapper.toDTO(newAmount);
this.logger.info(
`[applyChangesMap] Summary ${accountId}: Base ${
AmountMapper.toDTO(baseAmount).amount
} + Change ${AmountMapper.toDTO(change).amount} = ${
newAmountDTO.amount
}`,
);
const newSummary: SummaryValue = {
value: newAmountDTO.amount,
scale: newAmountDTO.scale,
};
resultMap.set(accountId, newSummary);
}
return resultMap;
}
private async mergeAndSaveResults(
processedSummaries: AccountSummaryEntity[],
): Promise<AccountSummaryEntity[]> {
const mergedResults: AccountSummaryEntity[] = [];
for (const result of processedSummaries) {
this.logger.info({ result }, "result processedSummaries");
const bookId = result.book_id;
this.logger.info({ bookId }, "processing bookId");
const existingResult = await this.accountSummaryRedisStore.get(bookId);
Iif (!existingResult.ok) {
this.logger.error(
{ err: existingResult.error, bookId },
"[AccountSummary] Failed to get Redis data",
);
continue;
}
const existingData = existingResult.value;
let mergedResult: AccountSummaryEntity[];
this.logger.info({ existingData }, "existingData BEFORE merge");
Iif (existingData) {
const existingEntry = existingData.find(
(entry) =>
entry.book_id === result.book_id &&
entry.transaction_time &&
result.transaction_time &&
new Date(entry.transaction_time).toDateString() ===
new Date(result.transaction_time).toDateString(),
);
this.logger.info({ existingEntry }, "existingEntry found");
if (existingEntry) {
this.logger.info({}, "existingEntry ada");
Object.assign(existingEntry, result);
} else {
this.logger.info({}, "existingEntry tidak ada");
const newEntry = new AccountSummaryEntity();
Object.assign(newEntry, result);
existingData.push(newEntry);
}
mergedResult = existingData;
this.logger.info({ mergedResult }, "mergedResult existingData");
} else {
const newEntry = new AccountSummaryEntity();
Object.assign(newEntry, result);
mergedResult = [newEntry];
this.logger.info({ mergedResult }, "mergedResult ga ada");
}
const saveResult = await this.accountSummaryRedisStore.set(
bookId,
mergedResult,
);
Iif (!saveResult.ok) {
this.logger.error(
{ err: saveResult.error, bookId },
"[AccountSummary] Failed to save Redis data",
);
continue;
}
mergedResults.push(...mergedResult);
this.logger.info({ mergedResult }, "mergedResult result");
}
return mergedResults;
}
private async finalizeProcessing(
event: AccountSummaryEventV2,
partition: number,
offset: string,
mergedResults: AccountSummaryEntity[],
): Promise<Result<void, Error>> {
const eventId = `${partition}#${offset}#${event.id}`;
// Save to processed Redis
const redisResult = await this.processedRedisStore.set(
eventId,
event.id,
partition,
offset,
);
Iif (!redisResult.ok) {
this.logger.error(
{ err: redisResult.error, eventId },
"[AccountSummaryHandler] Failed to save processed event to Redis",
);
return { ok: false, error: redisResult.error };
}
// Send to GTI - await and check for errors
try {
await this.sendToGtiEvent(mergedResults);
} catch (err) {
this.logger.error(
{ err, eventId },
"[AccountSummaryHandler] Failed to send to GTI",
);
return { ok: false, error: err as Error };
}
// Update backfill
// this.backfillCacheService.updateBackfill(mergedResults);
return { ok: true, value: undefined };
}
// ===== NEGATIVE METRIC HELPER METHODS =====
/**
* Check if change amount is negative
*/
private isNegativeChange(changeAmount: Amount): boolean {
return changeAmount.amount < 0n;
}
/**
* Extract account name from metric account
* Example: "S-OWN-FCEL-COST-BASIS" -> "S-OWN-FCEL"
* Example: "S-FCEL-REALIZE-L" -> "S-FCEL"
*/
private extractAccountNameFromMetric(metricAccount: string): string {
// Remove common suffixes
const withoutSuffix = metricAccount
.replace("-COST-BASIS", "")
.replace("-REALIZE-PL", "")
.replace("-REALIZE-L", "")
.replace("-REALIZE-S", "")
.replace("-TOTAL", "")
.replace("-USD", "")
.replace("-IDR", "");
// For patterns like "testing-S-OWN-GOOGL-COST-BASIS"
// We want to extract "S-OWN-GOOGL"
const parts = withoutSuffix.split("-");
// Look for S-OWN-SYMBOL or OP-OWN-INSTRUMENT patterns
for (let i = 0; i < parts.length - 2; i++) {
if (parts[i] === "S" && parts[i + 1] === "OWN") {
// Found S-OWN pattern, extract S-OWN-SYMBOL
const accountName = parts.slice(i, i + 3).join("-");
return accountName;
}
Iif (parts[i] === "S" && parts[i + 1] === "RES") {
// Found S-RES pattern, extract S-RES-SYMBOL or S-RES-OP-TICKER
if (parts[i + 2] === "OP" && parts.length > i + 3) {
// S-RES-OP-TICKER pattern
const accountName = parts.slice(i, i + 4).join("-");
return accountName;
} else {
// Traditional S-RES-SYMBOL pattern
const accountName = parts.slice(i, i + 3).join("-");
return accountName;
}
}
if (parts[i] === "OP" && parts[i + 1] === "OWN") {
// Found OP-OWN pattern, extract OP-OWN-INSTRUMENT
const accountName = parts.slice(i).join("-");
return accountName;
}
Iif (parts[i] === "C" && parts[i + 1] === "RES") {
// Found C-RES pattern, extract C-RES or C-RES-OP-TICKER
if (parts[i + 2] === "OP" && parts.length > i + 3) {
// C-RES-OP-TICKER pattern
const accountName = parts.slice(i, i + 4).join("-");
return accountName;
} else {
// Traditional C-RES pattern
const accountName = parts.slice(i, i + 2).join("-");
return accountName;
}
}
}
// Fallback to original logic if no pattern found
if (parts.length >= 3) {
// Look for pattern starting with S- or B- or OP- or other account indicators
let accountName = "";
// Find the index where account name starts (usually after "ledger")
const ledgerIndex = parts.findIndex((part) => part === "ledger");
if (ledgerIndex >= 0 && ledgerIndex + 1 < parts.length) {
// Take parts after "ledger"
const accountParts = parts.slice(ledgerIndex + 1);
// For OPTIONS with long instrument names: OP-OWN-COIN250620C00690000
if (accountParts.length >= 3 && accountParts[0] === "OP") {
accountName = accountParts.join("-"); // OP-OWN-COIN250620C00690000
} else if (accountParts.length >= 3) {
// S-OWN-FCEL pattern (3 parts)
accountName = accountParts.slice(0, 3).join("-");
} else if (accountParts.length >= 2) {
// S-FCEL pattern (2 parts)
accountName = accountParts.slice(0, 2).join("-");
} else if (accountParts.length >= 1 && accountParts[0]) {
// Single part
accountName = accountParts[0];
}
} else {
// Fallback: take last few parts
if (parts.length >= 5) {
accountName = parts.slice(-3).join("-"); // S-OWN-FCEL
} else if (parts.length >= 4) {
accountName = parts.slice(-2).join("-"); // S-FCEL
} else {
accountName = parts.slice(-1).join("-");
}
}
return accountName;
}
return withoutSuffix;
}
/**
* Calculate negative metric using formula:
* CurrentValue - (SubQty * (CurrentValue/(TotalQty + SubQty)))
* Now supports multiple account summation (RES + OWN, OP-RES + OP-OWN)
*/
private calculateCostBasisFormula(
context: ProcessingContext,
metricAccount: string,
currentValue: Amount,
changeAmount: Amount,
totalQty: Amount,
): Amount {
try {
Iif (context.is_canceled) {
this.logger.info(
`[CANCELLED] Skipping average cost basis. Using direct reduction: currentValue - subQty`,
);
const subQty: Amount = {
amount: -changeAmount.amount,
scale: changeAmount.scale,
};
const newValue = minus(currentValue, subQty);
return newValue as Amount;
}
// SubQty is absolute value of changeAmount (since it's negative)
const subQty: Amount = {
amount: -changeAmount.amount, // Make it positive
scale: changeAmount.scale,
};
// For sell orders, check if all shares are being sold
// If totalQty == subQty, then all shares are sold and cost basis should be 0
Iif (totalQty.amount === subQty.amount) {
this.logger.info(
`All shares sold for ${metricAccount}, setting cost basis to 0`,
);
return { amount: 0n, scale: currentValue.scale };
}
// Formula: CurrentValue - (SubQty * (CurrentValue/TotalQty))
// This maintains the correct proportional reduction
const valuePerUnit = divide(currentValue, totalQty); // CurrentValue/TotalQty
const reductionAmount = times(subQty, valuePerUnit); // SubQty * (CurrentValue/TotalQty)
const newValue = minus(currentValue, reductionAmount); // CurrentValue - reductionAmount
this.logger.info(
`Negative metric calculation - Account: ${metricAccount}, CurrentValue: ${
AmountMapper.toDTO(currentValue).amount
}, TotalQty: ${AmountMapper.toDTO(totalQty).amount}, SubQty: ${
AmountMapper.toDTO(subQty).amount
}, ValuePerUnit: ${
AmountMapper.toDTO(valuePerUnit).amount
}, ReductionAmount: ${
AmountMapper.toDTO(reductionAmount).amount
}, NewValue: ${AmountMapper.toDTO(newValue).amount}`,
);
return newValue as Amount;
} catch (error) {
this.logger.error(
`Error in negative metric calculation for ${metricAccount}: ${error}`,
);
return plus(currentValue, changeAmount) as Amount; // Fallback to normal calculation
}
}
private getTotalQuantity(
metricAccount: string,
changeAmount: Amount,
context: ProcessingContext,
): Amount {
// For sell orders with cost basis metrics, we need special handling
Iif (context.order_side === "sell" && metricAccount.includes("COST-BASIS")) {
// Try to get the original quantity from txlogs (amount sold)
const soldQuantity = this.calculateOriginalQuantityFromTxlogs(
context,
metricAccount,
);
// Try to get total quantity from current summary data (amount remaining)
const remainingQuantity = this.calculateTotalQuantity(
metricAccount,
context,
);
if (soldQuantity && remainingQuantity) {
// Original quantity = remaining quantity + sold quantity
const originalTotalQty = plus(
remainingQuantity,
soldQuantity,
) as Amount;
this.logger.info(
`[SELL-ORDER] Calculated original quantity for ${metricAccount}: ${
AmountMapper.toDTO(originalTotalQty).amount
} (remaining: ${
AmountMapper.toDTO(remainingQuantity).amount
} + sold: ${AmountMapper.toDTO(soldQuantity).amount})`,
);
return originalTotalQty;
}
if (soldQuantity) {
// Only sold quantity available, use it
this.logger.info(
`[SELL-ORDER] Using sold quantity from txlogs for ${metricAccount}: ${
AmountMapper.toDTO(soldQuantity).amount
}`,
);
return soldQuantity;
}
if (remainingQuantity) {
// Only remaining quantity available, calculate original by adding sold amount
const soldQuantity = absolute(changeAmount);
const originalTotalQty = plus(
remainingQuantity,
soldQuantity,
) as Amount;
this.logger.info(
`[SELL-ORDER] Calculated original quantity from summary for ${metricAccount}: ${
AmountMapper.toDTO(originalTotalQty).amount
} (remaining: ${
AmountMapper.toDTO(remainingQuantity).amount
} + sold: ${AmountMapper.toDTO(soldQuantity).amount})`,
);
return originalTotalQty;
}
// Final fallback: use the sold quantity if we can't determine the original quantity
this.logger.warn(
`[SELL-ORDER] Could not determine original quantity for ${metricAccount}, using sold quantity as fallback`,
);
return context.share_quantity;
}
// Calculate total quantity (may be sum of multiple accounts)
const totalQty = this.calculateTotalQuantity(metricAccount, context);
Iif (!totalQty || totalQty.amount === 0n) {
this.logger.info(
`No quantity accounts found for ${metricAccount}, will use normal calculation instead of complex formula`,
);
return { amount: 0n, scale: 0n }; // Return zero to indicate no quantity accounts
}
// For non-sell events with negative cost basis change (e.g., dividend),
// the totalQty from summaryMap is AFTER the qty change was applied.
// We need to calculate the ORIGINAL qty BEFORE the change.
// Example 1: Dividend adds +20 shares (txlog +20), summaryMap shows 420, original = 420 - 20 = 400
// Example 2: Dividend subs -20 shares (txlog -20), summaryMap shows 380, original = 380 - (-20) = 400
if (
context.order_side !== "sell" &&
metricAccount.includes("COST-BASIS") &&
changeAmount.amount < 0n
) {
// Find the qty change from txlogs for this asset
const qtyChange = this.getQtyChangeFromTxlogs(metricAccount, context);
Eif (qtyChange && qtyChange.amount !== 0n) {
// Calculate original qty by reversing the txlog change
// original = current - change (works for both positive and negative changes)
const originalQty = minus(totalQty, qtyChange) as Amount;
this.logger.info(
`[NON-SELL] Calculated original quantity for ${metricAccount}: ${
AmountMapper.toDTO(originalQty).amount
} (current: ${AmountMapper.toDTO(totalQty).amount} - change: ${
AmountMapper.toDTO(qtyChange).amount
})`,
);
return originalQty;
}
}
return totalQty;
}
/**
* Get the quantity change from txlogs for a specific asset
* Used to calculate original quantity before txlog changes were applied
* Example: For COST-BASIS metric "S-OWN-BRK.B-COST-BASIS", find change in "S-OWN-BRK.B"
*/
private getQtyChangeFromTxlogs(
metricAccount: string,
context: ProcessingContext,
): Amount | null {
// Extract the asset account pattern from cost basis metric
// e.g., "gti-staging-S-OWN-BRK.B-COST-BASIS" -> "S-OWN-BRK.B"
const accountName = this.extractAccountNameFromMetric(metricAccount);
Iif (!accountName) {
return null;
}
// Find the corresponding txlog entry for this asset
for (const txlog of context.event.txlogs) {
if (
txlog.book.book === context.bookId &&
txlog.account.includes(accountName) &&
!txlog.account.includes("COST-BASIS") &&
!txlog.account.includes("REALIZE")
) {
const qtyChange = AmountMapper.fromDTO({
amount: txlog.change.amount.toString(),
scale: txlog.change.scale.toString(),
});
this.logger.info(
`[getQtyChangeFromTxlogs] Found qty change for ${accountName}: ${
AmountMapper.toDTO(qtyChange).amount
} from txlog account ${txlog.account}`,
);
return qtyChange;
}
}
return null;
}
private getAverageCostsBasis(totalQty: Amount, currentValue: Amount): Amount {
// For realized P&L calculation: ValuePerUnit = CurrentValue / TotalQty
// This is used for calculating average cost basis for realized P&L
// This is different from the negative metric formula
const valuePerUnit = divide(currentValue, totalQty);
return valuePerUnit;
}
/**
* Calculate realized P&L amount for SELL (long position)
* Formula: (Sale Price * Quantity) - (Average Cost Basis * Quantity)
*/
private calculateRealizedPnL(
context: ProcessingContext,
costBasisForSale: Amount,
): Amount {
// Formula: (price * share_quantity) - cost_basis_for_sale
const grossProceeds = times(
context.price,
context.share_quantity,
) as Amount;
const realizedPL = minus(grossProceeds, costBasisForSale) as Amount;
return realizedPL;
}
/**
* Calculate realized P&L amount for BUY TO CLOSE (short position)
* Formula: (Average Cost Basis * Quantity) - (Close Price * Quantity)
* Example: Short @ $300, Close @ $200, qty = 1
* P&L = 300 - 200 = 100 profit
*/
private calculateRealizedPnLBuyToClose(
context: ProcessingContext,
costBasisForClose: Amount,
filledQty: Amount, // Use filled quantity, not total order quantity
): Amount {
// Formula: cost_basis_for_close - (price * filled_quantity * 100)
// For options: price is per share (e.g., $10 per share)
// 1 contract = 100 shares, so total = price × qty × 100
// NO FEE included per user request
// Calculate close proceeds
// For options: price × filledQty × 100 (shares per contract)
const priceTimesQty = times(context.price, filledQty) as Amount;
let closeProceeds: Amount;
if (context.trade_type === "options") {
// Multiply by 100 for options (shares per contract)
closeProceeds = times(priceTimesQty, {
amount: 100n,
scale: 0n,
}) as Amount;
} else E{
closeProceeds = priceTimesQty;
}
this.logger.info(
`[P&L-CALC] costBasisForClose=${
AmountMapper.toDTO(costBasisForClose).amount
}, ` +
`price=${AmountMapper.toDTO(context.price).amount}, ` +
`filledQty=${AmountMapper.toDTO(filledQty).amount}, ` +
`closeProceeds=${AmountMapper.toDTO(closeProceeds).amount}`,
);
const realizedPL = minus(costBasisForClose, closeProceeds) as Amount;
this.logger.info(
`[P&L-CALC] realizedPL=${AmountMapper.toDTO(realizedPL).amount}`,
);
return realizedPL;
}
/**
* Update realized metrics (P&L, Profit, Loss) based on realized P&L amount
* Following the specification:
* - For loss: REALIZE-PL SUB amount, REALIZE-L ADD amount
* - For profit: REALIZE-PL ADD amount, REALIZE-P ADD amount
*/
private updateRealizedMetrics(
context: ProcessingContext,
realized_pl_amount: Amount,
): void {
const prefix = context.prefix;
const ticker = context.ticker;
let assetType = "";
if (context.trade_type === "options") {
assetType = "OP";
} else E{
assetType = "S";
}
if (realized_pl_amount.amount < 0n) {
// Handle Loss scenario - convert to positive for ledger entry
const absoluteLoss = absolute(realized_pl_amount) as Amount;
// REALIZE-PL SUB realized_pl_amount (subtract the loss)
this.updateOrCreateMetric(
context,
`${prefix}-${assetType}-${ticker}-REALIZE-PL`,
{ amount: -absoluteLoss.amount, scale: absoluteLoss.scale },
);
// REALIZE-L ADD realized_pl_amount (add the loss amount)
this.updateOrCreateMetric(
context,
`${prefix}-${assetType}-${ticker}-REALIZE-L`,
absoluteLoss,
);
E} else if (realized_pl_amount.amount > 0n) {
// Handle Profit scenario
// REALIZE-PL ADD realized_pl_amount
this.updateOrCreateMetric(
context,
`${prefix}-${assetType}-${ticker}-REALIZE-PL`,
realized_pl_amount,
);
// REALIZE-P ADD realized_pl_amount
this.updateOrCreateMetric(
context,
`${prefix}-${assetType}-${ticker}-REALIZE-P`,
realized_pl_amount,
);
}
}
/**
* Helper method to update or create metric in context
*/
private updateOrCreateMetric(
context: ProcessingContext,
metricKey: string,
amount: Amount,
): void {
Iif (context.metricsMap.has(metricKey)) {
const existingMetric = context.metricsMap.get(metricKey)!;
const existingAmount = AmountMapper.fromDTO({
amount: existingMetric.amount.toString(),
scale: existingMetric.scale.toString(),
});
const newAmount = plus(existingAmount, amount) as Amount;
context.metricsMap.set(metricKey, {
book_type: "normal",
book_id: context.bookId,
amount: AmountMapper.toDTO(newAmount).amount,
scale: AmountMapper.toDTO(newAmount).scale,
});
} else {
const finalAmount = amount;
context.metricsMap.set(metricKey, {
book_type: "normal",
book_id: context.bookId,
amount: AmountMapper.toDTO(finalAmount).amount,
scale: AmountMapper.toDTO(finalAmount).scale,
});
}
}
/**
* Calculate total quantity from multiple accounts if needed
* For REALIZE: S-FCEL-REALIZE-L → S-OWN-FCEL + S-RES-FCEL
* For OPTIONS: OP-OWN-COIN250620C00690000-COST-BASIS → OP-OWN-COIN250620C00690000 + OP-RES-COIN250620C00690000
*/
private calculateTotalQuantity(
metricAccount: string,
context: ProcessingContext,
): Amount | null {
const accountName = this.extractAccountNameFromMetric(metricAccount);
// Get base patterns for quantity calculation
const quantityPatterns = this.getQuantityPatterns(
accountName,
metricAccount,
);
let totalQty: Amount = { amount: 0n, scale: 0n };
let foundAccounts = 0;
for (const pattern of quantityPatterns) {
for (const [
summaryAccount,
summaryEntry,
] of context.summaryMap.entries()) {
if (
summaryAccount.includes(pattern) &&
!summaryAccount.includes("COST-BASIS") &&
!summaryAccount.includes("TOTAL") &&
!summaryAccount.includes("REALIZE")
) {
const accountQty = AmountMapper.fromDTO({
amount: summaryEntry.value,
scale: summaryEntry.scale,
});
totalQty = plus(totalQty, accountQty) as Amount;
foundAccounts++;
this.logger.info(
`Found quantity account: ${summaryAccount} = ${
AmountMapper.toDTO(accountQty).amount
}`,
);
}
}
}
Iif (foundAccounts === 0) {
this.logger.warn(
`No quantity accounts found for patterns: ${quantityPatterns.join(
", ",
)}`,
);
return null;
}
this.logger.info(
`Total quantity calculated: ${
AmountMapper.toDTO(totalQty).amount
} from ${foundAccounts} accounts`,
);
return totalQty;
}
/**
* Calculate original quantity from txlogs for sell orders
* For sell orders, we need to know the original quantity before the sale
* to calculate the correct average cost basis
*/
private calculateOriginalQuantityFromTxlogs(
context: ProcessingContext,
costBasisKey: string,
): Amount | null {
// Extract the symbol from the cost basis key
// e.g., "testing-S-OWN-MSTR-COST-BASIS" → "MSTR"
const symbol = this.extractSymbolFromCostBasisKey(costBasisKey);
if (!symbol) {
return null;
}
// Look for the stock account changes in txlogs
// For sell orders, we expect negative changes in OWN and RES accounts
let originalQuantity: Amount = { amount: 0n, scale: 0n };
for (const txlog of context.event.txlogs) {
const account = txlog.account;
// Check if this is a stock account for our symbol
// More flexible pattern matching: account contains S-OWN-{symbol}, S-RES-{symbol}, or S-RES-OP-{ticker}
if (
account.includes(`S-OWN-${symbol}`) ||
account.includes(`S-RES-${symbol}`) ||
account.includes(`S-RES-OP-${symbol}`)
) {
const changeAmount = AmountMapper.fromDTO({
amount: txlog.change.amount.toString(),
scale: txlog.change.scale.toString(),
});
// For sell orders, changes are negative, so we need to add the absolute value
// to get the original quantity
if (changeAmount.amount < 0n) {
const absoluteChange = absolute(changeAmount) as Amount;
originalQuantity = plus(originalQuantity, absoluteChange) as Amount;
}
}
}
if (originalQuantity.amount > 0n) {
this.logger.info(
`[SELL-ORDER] Calculated original quantity from txlogs: ${
AmountMapper.toDTO(originalQuantity).amount
}`,
);
return originalQuantity;
}
return null;
}
/**
* Extract symbol from cost basis key
* e.g., "testing-S-OWN-MSTR-COST-BASIS" → "MSTR"
*/
private extractSymbolFromCostBasisKey(costBasisKey: string): string | null {
const parts = costBasisKey.split("-");
// Look for the pattern: prefix-S-OWN-SYMBOL-COST-BASIS
for (let i = 0; i < parts.length - 2; i++) {
if (
parts[i] === "S" &&
parts[i + 1] === "OWN" &&
parts[i + 3] === "COST" &&
parts[i + 4] === "BASIS"
) {
const symbol = parts[i + 2];
return symbol || null; // The symbol is between OWN and COST
}
}
return null;
}
/**
* Get patterns to search for quantity calculation
* All metrics use same summation strategy:
* - S-OWN-{symbol}-{metric} → search [S-OWN-{symbol}, S-RES-{symbol}]
* - OP-OWN-{instrument}-{metric} → search [OP-OWN-{instrument}, OP-RES-{instrument}]
* - Fallback: if RES not found, use OWN only
*/
private getQuantityPatterns(
accountName: string,
metricAccount: string,
): string[] {
// Options pattern: OP-OWN-{instrument}-{metric}
if (metricAccount.includes("OP-OWN-")) {
// From: OP-OWN-COIN250620C00690000-COST-BASIS → extract COIN250620C00690000
let instrumentPart = accountName.replace("OP-OWN-", "");
// Remove metric suffixes from the end
instrumentPart = instrumentPart
.replace("-COST-BASIS", "")
.replace("-REALIZE-PL", "")
.replace("-REALIZE-L", "")
.replace("-REALIZE-S", "");
Eif (instrumentPart) {
return [
`OP-OWN-${instrumentPart}`, // OP-OWN-COIN250620C00690000
`OP-RES-${instrumentPart}`, // OP-RES-COIN250620C00690000
];
}
}
// Stocks pattern: S-OWN-{symbol}-{metric}
Eif (metricAccount.includes("S-OWN-")) {
// From: S-OWN-FCEL-COST-BASIS → extract FCEL
let symbol = accountName.replace("S-OWN-", "");
// Remove metric suffixes from the end
symbol = symbol
.replace("-COST-BASIS", "")
.replace("-REALIZE-PL", "")
.replace("-REALIZE-L", "")
.replace("-REALIZE-S", "");
Eif (symbol) {
return [
`S-OWN-${symbol}`, // S-OWN-FCEL
`S-RES-${symbol}`, // S-RES-FCEL (traditional)
`S-RES-OP-${symbol}`, // S-RES-OP-{TICKER} (options)
];
}
}
// Fallback for old patterns
const parts = accountName.split("-");
if (parts.length >= 3) {
return [parts.slice(1).join("-")]; // OWN-FCEL (fallback to old pattern)
} else if (parts.length >= 2) {
return [accountName]; // Direct match
}
return [accountName];
}
/**
* Get summary with exact timestamp `transactionTime`.
* 1. Search Redis first (previous events may be stored there but not flushed to DB)
* 2. Fallback to database query if not found
*/
private async getSummaryAtTxTime(
bookId: string,
transactionTime: Date,
): Promise<AccountSummaryEntity | null> {
// 1. Redis
const redisRes = await this.accountSummaryRedisStore.get(bookId);
if (redisRes.ok && Array.isArray(redisRes.value)) {
const exact = redisRes.value.find(
(s) =>
s.transaction_time &&
new Date(s.transaction_time).getTime() === transactionTime.getTime(),
);
if (exact) {
return exact as AccountSummaryEntity;
}
}
// 2. Database
const repository =
this.appDataSourceService.AppDataSource.getRepository(
AccountSummaryEntity,
);
return repository.findOne({
where: { book_id: bookId, transaction_time: transactionTime },
});
}
}
export { AccountSummaryEventHandlerClean };
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