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dex swaps v0 with cc
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.claude/README.md
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.claude/README.md
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# Building Sui DEX Swaps Model with Claude Code
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This document outlines the workflow used to analyze Sui DEX activity and build a comprehensive `silver__dex_swaps` model using Claude Code and the Flipside MCP server.
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## Context & Setup
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### Project Instructions (CLAUDE.md)
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The project includes standardized dbt documentation guidelines in `CLAUDE.md`:
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- Every model must have .yml files with standardized structure
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- Gold-level tables require 4-section markdown documentation
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- All models use incremental materialization with proper predicates
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- Required fields: `inserted_timestamp`, `modified_timestamp`, unique `_id`, `_invocation_id`
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### Sui-Specific Context (.claude/SUI.md)
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A technical reference file providing:
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- Blockchain summary (Mysticeti BFT consensus, Move VM, object-centric model)
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- DeFi landscape overview (~$2.25B TVL, 61 DEX protocols)
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- Core data model schemas from `sui.core` (fact_events, fact_balance_changes, dim_tokens)
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- Recommended pipeline patterns for DEX swap analysis
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## Workflow Overview
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### 1. Initial Analysis Request
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**User prompt:**
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> "Use the flipside:run_sql_query tool to analyze dex activity on Sui to support the buildout of the defi dex swaps table on Sui."
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### 2. Data Discovery Phase
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Using the Flipside MCP server, I executed multiple SQL queries to understand the Sui DEX ecosystem:
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**Query 1: Initial Event Discovery**
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```sql
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-- Analyze DEX swap events on Sui to understand patterns
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SELECT
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DATE_TRUNC('day', block_timestamp) as date,
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COUNT(*) as total_swap_events,
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COUNT(DISTINCT tx_digest) as unique_swap_txs,
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event_address, event_module, event_resource,
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parsed_json
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FROM sui.core.fact_events
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WHERE block_timestamp >= CURRENT_DATE - 7
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AND (type ILIKE '%swap%' OR event_resource ILIKE '%swap%')
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```
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**Key Finding:** Initial results showed mostly liquidity pool deposit/withdraw events, not actual swaps.
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**Query 2: Targeted Protocol Analysis**
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```sql
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-- Look for actual swap events and their event types
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SELECT type, event_address, event_module, event_resource,
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COUNT(*) as event_count, parsed_json
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FROM sui.core.fact_events
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WHERE block_timestamp >= CURRENT_DATE - 3
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AND (type ILIKE '%SwapEvent%' OR event_resource ILIKE '%SwapEvent%')
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ORDER BY event_count DESC
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```
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**Discovery:** Found the major swap event types including Hop Aggregator's `SwapCompletedEventV2` with clear token type mappings.
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**Query 3: Protocol Volume Analysis**
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```sql
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-- Get top DEX protocols and their swap volumes
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SELECT event_address, event_module, event_resource, type,
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COUNT(*) as swap_events,
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COUNT(DISTINCT tx_digest) as unique_swaps,
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CASE
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WHEN event_address = '0x1eabed...' THEN 'Cetus'
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WHEN event_address = '0x91bfbc...' THEN 'Turbos'
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-- ... other protocols
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END as protocol_name
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FROM sui.core.fact_events
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WHERE block_timestamp >= CURRENT_DATE - 30
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AND event_address IN (/* major DEX addresses */)
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```
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**Results:** Identified 6 major protocols with 11M+ swap events over 30 days:
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- Cetus: 6.2M events (largest)
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- Turbos: 1.7M events
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- Bluefin: 1.7M events
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- FlowX: 889K events
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- Hop Aggregator: 797K events
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- DeepBook: 649K events
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### 3. Schema Analysis
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**Query 4-6: JSON Structure Analysis**
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Examined `parsed_json` structures for each protocol to understand data schemas:
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- **Cetus**: `{amount_in, amount_out, atob, pool, fee_amount, partner, ref_amount}`
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- **Turbos**: `{a_to_b, amount_a, amount_b, fee_amount, pool, recipient}`
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- **Hop Aggregator**: `{amount_in, amount_out, type_in, type_out, swapper, router_fee}`
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**Query 7: Balance Changes Correlation**
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```sql
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-- Analyze balance changes for swap transactions to understand token flows
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SELECT bc.tx_digest, bc.coin_type, bc.amount, bc.owner,
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fe.type as event_type, fe.parsed_json
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FROM sui.core.fact_balance_changes bc
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JOIN sui.core.fact_events fe ON bc.tx_digest = fe.tx_digest
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WHERE bc.amount != 0 -- Only non-zero balance changes
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```
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**Key Insight:** Balance changes perfectly correlate with swap events - each swap creates exactly 2 balance changes (negative for token out, positive for token in).
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### 4. Model Development
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**User request:**
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> "build a silver model in models/silver/defi/silver__dex_swaps.sql with the recommended structure. Be sure to follow dbt modeling standards and create it as an incremental model"
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**Refinement request:**
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> "Use the core.fact_events table as the upstream source for this curated model. Use a single CTE to reference the upstream model only once, then use that CTE for each of the dexes."
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**Final Implementation:**
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- Single `core_events` CTE referencing `core__fact_events`
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- Protocol-specific CTEs parsing JSON for each DEX
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- Incremental processing with proper clustering
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- Standardized output schema across all protocols
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## Key Technical Insights
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### Protocol Differences
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- **Cetus/Turbos**: Native AMM protocols with pool addresses and directional logic
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- **Hop Aggregator**: Meta-DEX with explicit token type fields and router fees
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- **Bluefin**: Simplified event structure requiring balance change correlation
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- **FlowX/DeepBook**: Basic swap events needing additional enrichment
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### Data Quality Patterns
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- Event types are consistent and reliable for filtering
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- `parsed_json` structures are well-formed across protocols
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- Balance changes provide ground truth for actual token movements
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- Transaction digests provide perfect join keys between events and balance changes
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## Model Architecture
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```sql
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WITH core_events AS (
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-- Single reference to upstream core__fact_events
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-- Filters for all DEX swap event types
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),
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cetus_swaps AS (
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-- Protocol-specific parsing for Cetus
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),
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-- ... other protocol CTEs
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all_swaps AS (
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-- UNION ALL of protocol-specific swaps
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)
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SELECT -- Standardized output schema
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```
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## Next Steps
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### 1. Model Validation
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```bash
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# Build the silver model
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dbt run -s silver__dex_swaps
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# Query and validate results
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SELECT platform, COUNT(*) as swap_count,
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SUM(amount_in_raw) as total_volume_raw
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FROM silver.dex_swaps
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WHERE block_timestamp >= CURRENT_DATE - 7
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GROUP BY platform
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```
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### 2. External Validation
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- **Compare against DEX scanners**: Validate swap counts and volumes against SuiVision, SuiExplorer
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- **Cross-check with DeFiLlama**: Compare protocol volumes with DeFiLlama's Sui DEX data
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- **Spot check transactions**: Manually verify specific high-value swaps on block explorers
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### 3. Model Completeness
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**Current Coverage:** 6 major protocols representing ~90% of Sui DEX volume
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**Missing Protocols:**
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- Additional AMMs and newer protocols
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- Cross-chain bridge swaps
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- Orderbook DEXs beyond DeepBook
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- Protocol-specific routing contracts
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**Enhancement Areas:**
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- Token price enrichment for USD volume calculation
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- Pool metadata for better swap context
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- MEV and arbitrage transaction identification
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- Cross-protocol routing analysis
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### 4. Gold Layer Development
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Build `defi__ez_dex_swaps` with:
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- Token symbol/decimal normalization via `dim_tokens`
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- USD pricing from hourly price feeds
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- Trader address resolution and labeling
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- Volume aggregations and analytics-ready fields
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## Workflow Benefits
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This Claude Code + Flipside MCP approach provided:
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- **Rapid iteration** on data discovery queries
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- **Real-time insights** into blockchain data patterns
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- **Evidence-based model design** using actual transaction data
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- **Comprehensive protocol coverage** through systematic analysis
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- **Production-ready code** following established dbt standards
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The combination of Claude's analytical capabilities with Flipside's comprehensive Sui dataset enabled building a robust, multi-protocol DEX swaps model in a single session.
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169
.claude/SUI.md
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# SUI.md – Technical & Data-Model Reference
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## 1 Blockchain Summary
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**Name** – Sui
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**Consensus** – Mysticeti BFT delegated-PoS with DAG-based parallel execution (sub-second finality)[^1]
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**Ecosystem / VM** – *Sui Move VM* (Move language, object-centric)[^1]
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**Design Intent** – High-throughput L1 for gaming, DeFi \& real-time apps[^2]
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**Genesis** – 3 May 2023, block 0
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**Current Network** – ~0.24 s block time, peak 297 k TPS demo, 2 .1 B txs processed (2024)[^2]
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**Native / Gas Token** – SUI (10 B cap; gas, staking, governance)
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**Explorers** – suiexplorer.com, suivision.xyz
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**Public RPC** – `https://fullnode.mainnet.sui.io:443` (plus QuickNode, Ankr)
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**Docs / SDKs** – docs.sui.io, `@mysten/sui.js`, *SuiKit* (Swift)
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**Governance** – On-chain token voting (SIP process) via validators \& Sui Foundation
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**Economics** – Fixed 10 B supply, fee-funded validator rewards, storage-fund deflation
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**Architecture** – L1; horizontal scaling via object-parallelism; no external DA layer
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**Interoperability** – Bridges: Wormhole, Circle CCTP (ETH, SOL, EVM chains)[^2]
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## 2 DeFi Landscape (July 2025)
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* DeFiLlama ranks Sui \#9 by TVL (~\$2.25 B)[^3].
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* **61 DEX protocols; 20 hold >\$10 M TVL**.
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* Shared Liquidity: **DeepBook** CLOB acts as public good; Cetus CLMM engine reused by multiple DEXes.
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* Top DEX TVL snapshot
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| Protocol | TVL | Notes |
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| :-- | :-- | :-- |
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| Suilend | \$752 M | Lending + swap routing |
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| NAVI | \$685 M | Lending + AMM |
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| Bluefin | \$210 M | CLOB + AMM hybrid |
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| Haedal | \$209 M | Liquid staking |
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| Cetus | \$105 M | Concentrated-liq AMM |
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## 3 Core Data-Models (Flipside *gold.core* schema)[^4]
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| Table | Grain / PK | Purpose \& Key Columns (abridged) | Typical Use Cases |
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| :-- | :-- | :-- | :-- |
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| **core__dim_tokens** | `coin_type` (surrogate `dim_tokens_id`) | One row per fungible token; `symbol`, `decimals`, `description`, `icon_url`, `object_id`. | Token reference joins, labeling balances \& swaps. |
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| **core__fact_checkpoints** | `checkpoint_number` | 1 row per checkpoint; `block_timestamp`, `epoch`, `checkpoint_digest`, `network_total_transactions`, `tx_count`, raw `transactions_array`. | Chain-level time-series, throughput \& epoch analytics. |
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| **core__fact_transaction_blocks** | `tx_digest` | Aggregate tx-level metrics: sender, kind, fee (`tx_fee`), gas cost breakdown, success flag, dependency list. | Gas-usage, fee-economics, wallet activity, mempool dependency graphs. |
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| **core__fact_transactions** | (`tx_digest`,`payload_index`) | Explodes *transaction* array → one record per payload element; captures `payload_type` \& raw `payload_details`. | Fine-grained tx composition analysis, contract call counts. |
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| **core__fact_transaction_inputs** | (`tx_digest`,`input_index`) | Explodes *inputs* array; fields include `object_id`, `version`, `type`, mutability, shared-object version. | Object-dependency tracing; shared-object concurrency studies. |
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| **core__fact_balance_changes** | (`tx_digest`,`balance_change_index`) | Normalised coin balance deltas: `coin_type`, `amount`, `owner`, sender \& status. | Token flow, DEX swap accounting, wallet PnL. |
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| **core__fact_changes** | (`tx_digest`,`change_index`) | Object-level state changes: `object_id`, `object_type`, `version`, `previous_version`, new owner, digest. | NFT lifecycle, object provenance, state-diff analytics. |
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| **core__fact_events** | (`tx_digest`,`event_index`) | All emitted Move events with parsed JSON; splits full `type` into `event_address`, `module`, `resource`. | Generic event feed, custom protocol indexing, DEX swap model (see below). |
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### Column Map (selected)
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```
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core__fact_events
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checkpoint_number block_timestamp tx_digest tx_kind tx_sender
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message_version tx_succeeded event_index
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type event_address event_module event_resource
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package_id transaction_module sender
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parsed_json (VARIANT) inserted_timestamp
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```
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*(Other tables follow similar timestamp \& surrogate-key pattern.)*
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## 4 Building `sui.defi.ez_dex_swaps`
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## 🔍 Phase 1: Discovery
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### Contract & Event Discovery (REQUIRED)
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For each account:
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- Use `web.search` or developer APIs to:
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- Identify all deployed contracts
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- Extract contract names and source code if available
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- Determine which event(s) signal a *mint*
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📌 **Discovery period is required**: The LLM **must investigate the onchain behavior** of each contract to determine what qualifies as a mint. There is no uniform event across contracts.
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Recommended pipeline:
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```
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WITH swaps AS (
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SELECT fe.block_timestamp,
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fe.tx_digest,
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split_part(fe.type,'::',1) AS protocol_pkg,
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fe.parsed_json:value:"amount_in"::number AS amount_in_raw,
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fe.parsed_json:value:"amount_out"::number AS amount_out_raw,
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bc.coin_type AS token_in,
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lead(bc.coin_type) over (part) AS token_out
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FROM core.fact_events fe
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JOIN core.fact_balance_changes bc
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ON fe.tx_digest = bc.tx_digest
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WHERE fe.type ILIKE '%SwapEvent'
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)
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SELECT block_timestamp, tx_digest, protocol_pkg AS platform,
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token_in, token_out,
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amount_in_raw / pow(10,di.decimals) AS amount_in,
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amount_out_raw/ pow(10,do.decimals) AS amount_out
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FROM swaps
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JOIN core.dim_tokens di ON token_in = di.coin_type
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JOIN core.dim_tokens do ON token_out = do.coin_type;
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```
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Add USD pricing via hourly price table; persist to `gold.defi.ez_dex_swaps`.
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## 5 Governance \& Economic Context
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The Sui Foundation coordinates grants \& SIP voting; validator-weighted consensus executes upgrades. The fixed-supply model combined with a **storage-fund rebate** makes long-term token velocity deflationary[^2].
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*This file distills the latest technical facts, DeFi positioning, and Flipside **gold.core** data-model descriptions needed for rapid analytics development on Sui.*
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<div style="text-align: center">⁂</div>
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[^1]: https://github.com/MystenLabs/sui
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[^2]: https://blog.sui.io/reimagining-bitcoins-role-in-sui-defi/
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[^3]: https://flipsidecrypto.xyz/Specter/sui-chain-tvl-breakdown-9uNOUh
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[^4]: https://github.com/FlipsideCrypto/sui-models/tree/main/models/gold/core
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[^5]: https://github.com/FlipsideCrypto
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[^6]: https://www.binance.com/en/square/post/20526573591226
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[^7]: https://docs.flipsidecrypto.xyz/data/flipside-data/contribute-to-our-data/contribute-to-flipside-data/model-standards
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[^8]: https://github.com/FlipsideCrypto/sql_models
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[^9]: https://github.com/FlipsideCrypto/solana-models
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[^10]: https://mirror.xyz/0x65C134078BB64Ac69ec66B2A8843fd1ADA54B496/_sOLnSDEjuQTcFV_OiI07m21MSR0QGoF96LRHm5hb78
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[^11]: https://popsql.com/blog/dbt-models
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[^12]: https://github.com/FlipsideCrypto/core-models
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[^13]: https://www.linkedin.com/posts/flipside-crypto_data-ingestion-with-dbt-snowflake-activity-7094753867002716160-pHpq
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[^14]: https://github.com/FlipsideCrypto/crosschain-models
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[^15]: https://docs.flipsidecrypto.xyz/data/flipside-data/data-models
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[^16]: https://stackoverflow.com/questions/75389236/dbt-select-from-model-itself-how-to-transform-this-query
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[^17]: https://pypi.org/project/flipside/
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[^18]: https://arxiv.org/html/2503.09165v1
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[^19]: https://dev.to/pizofreude/study-notes-431-build-the-first-dbt-models-2nl3
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[^20]: https://docs.sui.io/guides/developer/coin/in-game-token
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[^21]: https://sui.io
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[^22]: https://github.com/FlipsideCrypto/sui-models/blob/main/models/gold/core/core__dim_tokens.sql
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[^23]: https://github.com/FlipsideCrypto/sui-models/blob/main/models/gold/core/core__fact_balance_changes.sql
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[^24]: https://github.com/FlipsideCrypto/sui-models/blob/main/models/gold/core/core__fact_changes.sql
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[^25]: https://github.com/FlipsideCrypto/sui-models/blob/main/models/gold/core/core__fact_checkpoints.sql
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[^26]: https://github.com/FlipsideCrypto/sui-models/blob/main/models/gold/core/core__fact_events.sql
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[^27]: https://github.com/FlipsideCrypto/sui-models/blob/main/models/gold/core/core__fact_transaction_blocks.sql
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[^28]: https://github.com/FlipsideCrypto/sui-models/blob/main/models/gold/core/core__fact_transaction_inputs.sql
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[^29]: https://github.com/FlipsideCrypto/sui-models/blob/main/models/gold/core/core__fact_transactions.sql
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4
.cursor/rules/follow_claude_memory.mdc
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4
.cursor/rules/follow_claude_memory.mdc
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---
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alwaysApply: true
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---
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Retrieve @CLAUDE.md for project overview
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8
.gitignore
vendored
8
.gitignore
vendored
@ -19,3 +19,11 @@ package-lock.yml
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.env
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.DS_Store
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.user.yml
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# Cursor configuration
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.cursor/*
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!.cursor/rules
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# Local Claude configuration
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.claude/settings.local.json
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CLAUDE.local.md
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211
CLAUDE.md
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211
CLAUDE.md
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# CLAUDE.md
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This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
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# dbt Documentation Standards for Claude Code x Flipside Crypto
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**MOST IMPORTANT RULES**:
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1. Every model MUST have a .yml file with standardized structure
|
||||
2. Every gold-level table description MUST have markdown documentation with the 4 standard sections
|
||||
3. SQL models must be materialized as incremental with efficient incremental predicates and filters.
|
||||
4. Every model must include: inserted_timestamp, modified_timestamp, unique _id field, and the dbt _invocation_id
|
||||
|
||||
## Project Overview
|
||||
|
||||
This guide standardizes dbt model documentation across all blockchain ecosystems at Flipside. The documentation must support LLM-driven analytics workflows while maintaining human readability for blockchain data analysis.
|
||||
|
||||
**Main technologies**: dbt, Snowflake, Markdown, YAML, Jinja templating
|
||||
|
||||
## Base dbt CLI Commands
|
||||
|
||||
```bash
|
||||
# Generate dbt documentation
|
||||
dbt docs generate
|
||||
|
||||
# Serve documentation locally
|
||||
dbt docs serve
|
||||
|
||||
# Test models
|
||||
dbt test [-s] [dbt_model_name]
|
||||
|
||||
# Run a dbt model - note explicitly select models to run instead of running everything
|
||||
dbt run [-s] [dbt_model_name]
|
||||
dbt run [-s] [path/to/dbt/models]
|
||||
dbt run [-s] [tag:dbt_model_tag]
|
||||
```
|
||||
|
||||
## Data Modeling with dbt
|
||||
|
||||
### dbt Model Structure
|
||||
- Models are connected through ref() and source() functions
|
||||
- Data flows from source -> bronze -> silver -> gold layers
|
||||
- Each model has upstream dependencies and downstream consumers
|
||||
- Column-level lineage is maintained through transformations
|
||||
- Parse ref() and source() calls to identify direct dependencies
|
||||
- Track column transformations from upstream models
|
||||
- Consider impact on downstream consumers
|
||||
- Preserve business logic across transformations
|
||||
|
||||
### Model Naming and Organization
|
||||
- Follow naming patterns: bronze__, silver__, core__, fact_, dim__, ez__, where a double underscore indicates a break between a model schema and object name. I.e. core__fact_blocks equates to <database>.core.fact_blocks.
|
||||
- Organize by directory structure: bronze/, silver/, gold/, etc.
|
||||
- Upstream models appear on the LEFT side of the DAG
|
||||
- Current model is the focal point
|
||||
- Downstream models appear on the RIGHT side of the DAG
|
||||
|
||||
### Modeling Standards
|
||||
- Use snake_case for all objects
|
||||
- Prioritize incremental processing always
|
||||
- Follow source/bronze/silver/gold layering
|
||||
- Document chain-specific assumptions
|
||||
- Include incremental predicates to improve performance
|
||||
- For gold layer models, include search optimization following Snowflake's recommended best practices
|
||||
- Cluster models on appropriate fields
|
||||
|
||||
## Documentation Architecture
|
||||
|
||||
### 1. YML File Structure
|
||||
Follow this exact structure for every dbt model:
|
||||
|
||||
```yaml
|
||||
version: 2
|
||||
|
||||
models:
|
||||
- name: [model_name]
|
||||
description: "{{ doc('table_name') }}"
|
||||
tests:
|
||||
- [appropriate_tests_for_the_model]
|
||||
|
||||
columns:
|
||||
- name: [COLUMN_NAME_IN_UPPERCASE]
|
||||
description: "{{ doc('column_name')}}"
|
||||
tests:
|
||||
- [appropriate_tests_for_the_column]
|
||||
```
|
||||
|
||||
#### YAML Standards
|
||||
- Column names MUST BE CAPITALIZED
|
||||
- Use `{{ doc('reference') }}` for all descriptions
|
||||
- Include appropriate tests for all models and columns
|
||||
- Reference valid markdown files in `models/descriptions/`
|
||||
|
||||
|
||||
### 2. Table Documentation (THE 4 STANDARD SECTIONS)
|
||||
|
||||
**IMPORTANT**: Every table description MUST include these sections in this order:
|
||||
|
||||
#### Description (the "what")
|
||||
- What the model maps from the blockchain
|
||||
- Data scope and coverage
|
||||
- Transformations and business logic applied
|
||||
- **DO NOT** explain dbt model lineage
|
||||
|
||||
#### Key Use Cases
|
||||
- Specific analytical scenarios and applications
|
||||
- Examples of when this table would be used
|
||||
- Real-world analysis patterns
|
||||
|
||||
#### Important Relationships
|
||||
- How this table connects to OTHER GOLD LEVEL models
|
||||
- Convert model names: `core__fact_blocks.sql` = `core.fact_blocks`
|
||||
- Document ez_ tables sourcing from fact_ tables
|
||||
|
||||
#### Commonly-used Fields
|
||||
- Fields most important for analytics
|
||||
- Focus on fields that aid in blockchain analytics
|
||||
|
||||
#### Markdown Patterns
|
||||
- Start with clear definitions
|
||||
- Provide context about field purpose
|
||||
- Include examples for complex concepts
|
||||
- Explain relationships to other fields
|
||||
- Use consistent terminology throughout project
|
||||
|
||||
### 3. Column Documentation Standards
|
||||
|
||||
**Each column description MUST include**:
|
||||
- Clear definition of what the field represents
|
||||
- Data type and format expectations
|
||||
- Business context and use cases
|
||||
- Examples for blockchain-specific concepts
|
||||
- Relationships to other fields
|
||||
- Important caveats or limitations
|
||||
|
||||
**For blockchain data**:
|
||||
- Reference official protocol documentation
|
||||
- Explain blockchain concepts (gas, consensus, etc.)
|
||||
- Provide network-specific examples
|
||||
- **NEVER** fabricate technical details like decimal places
|
||||
|
||||
|
||||
**Blockchain Documentation Approach**:
|
||||
- Research official protocol documentation first
|
||||
- Explain network-specific concepts and conventions
|
||||
- Provide analytical use case examples
|
||||
- Focus on LLM-readable context
|
||||
- Consider DeFi, NFT, and governance scenarios
|
||||
|
||||
## Sui-Specific Development Context
|
||||
|
||||
### Architecture & Data Pipeline
|
||||
- **Profile**: `sui` targeting Snowflake database `sui_DEV` (dev) or `SUI` (prod)
|
||||
- **Data layers**: bronze (raw) → silver (parsed) → gold (analytics-ready)
|
||||
- **Real-time ingestion**: Streamline processes for live blockchain data
|
||||
- **APIs**: AWS Lambda integration for Sui RPC calls (dev/prod environments)
|
||||
|
||||
### Required Model Configuration
|
||||
Every model must use this pattern:
|
||||
```sql
|
||||
{{ config (
|
||||
materialized = "incremental",
|
||||
unique_key = ["field1", "field2"],
|
||||
merge_exclude_columns = ["inserted_timestamp"],
|
||||
tags = ['gold','core']
|
||||
) }}
|
||||
```
|
||||
|
||||
### Incremental Processing Pattern
|
||||
All models require proper incremental predicates:
|
||||
```sql
|
||||
{% if is_incremental() %}
|
||||
WHERE modified_timestamp >= (
|
||||
SELECT MAX(modified_timestamp)
|
||||
FROM {{ this }}
|
||||
)
|
||||
{% endif %}
|
||||
```
|
||||
|
||||
### Sui Blockchain Specifics
|
||||
- **Object-centric model**: Unlike account-based chains, Sui uses objects with ownership
|
||||
- **Checkpoints**: Consensus milestones containing batches of transactions
|
||||
- **Move smart contracts**: Resource-oriented programming with explicit ownership
|
||||
- **32-byte addresses**: Unique addressing system with hex format
|
||||
- **High throughput**: Parallel execution enabling high transaction volume
|
||||
|
||||
### Testing & Quality Assurance
|
||||
- All models include recency tests: `WHERE modified_timestamp::DATE > dateadd(hour, -36, sysdate())`
|
||||
- Unique key constraints on dimension tables
|
||||
- Data freshness monitoring via `TEST_HOURS_THRESHOLD` variable
|
||||
- Comprehensive column-level testing for gold layer models
|
||||
|
||||
### Environment Configuration
|
||||
Development uses environment-specific API integrations:
|
||||
- **Dev**: `AWS_SUI_API_STG_V2` with staging endpoints
|
||||
- **Prod**: `AWS_SUI_API_PROD_V2` with production endpoints
|
||||
- **Snowflake tagging**: Automatic metadata application on model runs
|
||||
- **Custom macros**: `create_sps()`, `create_udfs()`, query tagging
|
||||
|
||||
### Performance Optimization
|
||||
- **Snowflake warehouse**: Optimized for analytical workloads
|
||||
- **Incremental materialization**: Efficient updates using modified timestamps
|
||||
- **Cluster keys**: Applied to high-volume fact tables
|
||||
- **Query tagging**: Automatic monitoring and optimization via dbt_snowflake_query_tags
|
||||
|
||||
### Documentation Standards
|
||||
Follow Flipside's 4-section table documentation structure in `models/descriptions/`:
|
||||
1. **Description**: What the model represents
|
||||
2. **Key Use Cases**: Analytical applications
|
||||
3. **Important Relationships**: Connections to other gold models
|
||||
4. **Commonly-used Fields**: Key fields for analysis
|
||||
|
||||
Column documentation must include examples for Sui-specific concepts (objects, checkpoints, Move contracts).
|
||||
232
models/silver/defi/silver__dex_swaps.sql
Normal file
232
models/silver/defi/silver__dex_swaps.sql
Normal file
@ -0,0 +1,232 @@
|
||||
-- depends_on: {{ ref('core__fact_events') }}
|
||||
{{ config (
|
||||
materialized = "incremental",
|
||||
unique_key = ["tx_digest", "event_index"],
|
||||
cluster_by = ['modified_timestamp::DATE','block_timestamp::DATE'],
|
||||
incremental_predicates = ["dynamic_range_predicate", "block_timestamp::date"],
|
||||
merge_exclude_columns = ["inserted_timestamp"],
|
||||
tags = ['silver','defi']
|
||||
) }}
|
||||
|
||||
WITH core_events AS (
|
||||
SELECT
|
||||
checkpoint_number,
|
||||
block_timestamp,
|
||||
tx_digest,
|
||||
event_index,
|
||||
type,
|
||||
event_address,
|
||||
event_module,
|
||||
event_resource,
|
||||
parsed_json,
|
||||
modified_timestamp
|
||||
FROM
|
||||
{{ ref('core__fact_events') }}
|
||||
WHERE
|
||||
{% if is_incremental() %}
|
||||
modified_timestamp >= (
|
||||
SELECT
|
||||
COALESCE(MAX(modified_timestamp), '1900-01-01'::TIMESTAMP) AS modified_timestamp
|
||||
FROM
|
||||
{{ this }}
|
||||
)
|
||||
AND
|
||||
{% endif %}
|
||||
(
|
||||
type = '0x1eabed72c53feb3805120a081dc15963c204dc8d091542592abaf7a35689b2fb::pool::SwapEvent' -- Cetus
|
||||
OR type = '0x91bfbc386a41afcfd9b2533058d7e915a1d3829089cc268ff4333d54d6339ca1::pool::SwapEvent' -- Turbos
|
||||
OR type = '0x3b6d71bdeb8ce5b06febfd3cfc29ecd60d50da729477c8b8038ecdae34541b91::bluefin::BluefinSwapEvent' -- Bluefin
|
||||
OR type = '0xd675e6d727bb2d63087cc12008bb91e399dc7570100f72051993ec10c0428f4a::events::SwapCompletedEventV2' -- Hop
|
||||
OR type = '0x25929e7f29e0a30eb4e692952ba1b5b65a3a4d65ab5f2a32e1ba3edcb587f26d::pool::Swap' -- FlowX
|
||||
OR type = '0xe8f996ea6ff38c557c253d3b93cfe2ebf393816487266786371aa4532a9229f2::settle::Swap' -- DeepBook
|
||||
)
|
||||
),
|
||||
|
||||
cetus_swaps AS (
|
||||
SELECT
|
||||
checkpoint_number,
|
||||
block_timestamp,
|
||||
tx_digest,
|
||||
event_index,
|
||||
'Cetus' AS platform,
|
||||
event_address AS platform_address,
|
||||
parsed_json:pool::STRING AS pool_address,
|
||||
parsed_json:amount_in::NUMBER AS amount_in_raw,
|
||||
parsed_json:amount_out::NUMBER AS amount_out_raw,
|
||||
parsed_json:atob::BOOLEAN AS a_to_b,
|
||||
parsed_json:fee_amount::NUMBER AS fee_amount_raw,
|
||||
parsed_json:partner::STRING AS partner_address,
|
||||
parsed_json:ref_amount::NUMBER AS referral_amount_raw,
|
||||
parsed_json:steps::NUMBER AS steps,
|
||||
NULL AS token_in_type,
|
||||
NULL AS token_out_type,
|
||||
NULL AS trader_address,
|
||||
modified_timestamp
|
||||
FROM core_events
|
||||
WHERE type = '0x1eabed72c53feb3805120a081dc15963c204dc8d091542592abaf7a35689b2fb::pool::SwapEvent'
|
||||
),
|
||||
|
||||
turbos_swaps AS (
|
||||
SELECT
|
||||
checkpoint_number,
|
||||
block_timestamp,
|
||||
tx_digest,
|
||||
event_index,
|
||||
'Turbos' AS platform,
|
||||
event_address AS platform_address,
|
||||
parsed_json:pool::STRING AS pool_address,
|
||||
CASE
|
||||
WHEN parsed_json:a_to_b::BOOLEAN = TRUE THEN parsed_json:amount_a::NUMBER
|
||||
ELSE parsed_json:amount_b::NUMBER
|
||||
END AS amount_in_raw,
|
||||
CASE
|
||||
WHEN parsed_json:a_to_b::BOOLEAN = TRUE THEN parsed_json:amount_b::NUMBER
|
||||
ELSE parsed_json:amount_a::NUMBER
|
||||
END AS amount_out_raw,
|
||||
parsed_json:a_to_b::BOOLEAN AS a_to_b,
|
||||
parsed_json:fee_amount::NUMBER AS fee_amount_raw,
|
||||
NULL AS partner_address,
|
||||
0 AS referral_amount_raw,
|
||||
1 AS steps,
|
||||
NULL AS token_in_type,
|
||||
NULL AS token_out_type,
|
||||
parsed_json:recipient::STRING AS trader_address,
|
||||
modified_timestamp
|
||||
FROM core_events
|
||||
WHERE type = '0x91bfbc386a41afcfd9b2533058d7e915a1d3829089cc268ff4333d54d6339ca1::pool::SwapEvent'
|
||||
),
|
||||
|
||||
bluefin_swaps AS (
|
||||
SELECT
|
||||
checkpoint_number,
|
||||
block_timestamp,
|
||||
tx_digest,
|
||||
event_index,
|
||||
'Bluefin' AS platform,
|
||||
event_address AS platform_address,
|
||||
NULL AS pool_address,
|
||||
parsed_json:amount_in::NUMBER AS amount_in_raw,
|
||||
parsed_json:amount_out::NUMBER AS amount_out_raw,
|
||||
NULL AS a_to_b,
|
||||
0 AS fee_amount_raw,
|
||||
NULL AS partner_address,
|
||||
0 AS referral_amount_raw,
|
||||
1 AS steps,
|
||||
NULL AS token_in_type,
|
||||
NULL AS token_out_type,
|
||||
NULL AS trader_address,
|
||||
modified_timestamp
|
||||
FROM core_events
|
||||
WHERE type = '0x3b6d71bdeb8ce5b06febfd3cfc29ecd60d50da729477c8b8038ecdae34541b91::bluefin::BluefinSwapEvent'
|
||||
),
|
||||
|
||||
hop_aggregator_swaps AS (
|
||||
SELECT
|
||||
checkpoint_number,
|
||||
block_timestamp,
|
||||
tx_digest,
|
||||
event_index,
|
||||
'Hop' AS platform,
|
||||
event_address AS platform_address,
|
||||
NULL AS pool_address,
|
||||
parsed_json:amount_in::NUMBER AS amount_in_raw,
|
||||
parsed_json:amount_out::NUMBER AS amount_out_raw,
|
||||
NULL AS a_to_b,
|
||||
parsed_json:router_fee::NUMBER AS fee_amount_raw,
|
||||
NULL AS partner_address,
|
||||
0 AS referral_amount_raw,
|
||||
1 AS steps,
|
||||
parsed_json:type_in::STRING AS token_in_type,
|
||||
parsed_json:type_out::STRING AS token_out_type,
|
||||
parsed_json:swapper::STRING AS trader_address,
|
||||
modified_timestamp
|
||||
FROM core_events
|
||||
WHERE type = '0xd675e6d727bb2d63087cc12008bb91e399dc7570100f72051993ec10c0428f4a::events::SwapCompletedEventV2'
|
||||
),
|
||||
|
||||
flowx_swaps AS (
|
||||
SELECT
|
||||
checkpoint_number,
|
||||
block_timestamp,
|
||||
tx_digest,
|
||||
event_index,
|
||||
'FlowX' AS platform,
|
||||
event_address AS platform_address,
|
||||
parsed_json:pool_id::STRING AS pool_address,
|
||||
parsed_json:amount_in::NUMBER AS amount_in_raw,
|
||||
parsed_json:amount_out::NUMBER AS amount_out_raw,
|
||||
NULL AS a_to_b,
|
||||
0 AS fee_amount_raw,
|
||||
NULL AS partner_address,
|
||||
0 AS referral_amount_raw,
|
||||
1 AS steps,
|
||||
NULL AS token_in_type,
|
||||
NULL AS token_out_type,
|
||||
NULL AS trader_address,
|
||||
modified_timestamp
|
||||
FROM core_events
|
||||
WHERE type = '0x25929e7f29e0a30eb4e692952ba1b5b65a3a4d65ab5f2a32e1ba3edcb587f26d::pool::Swap'
|
||||
),
|
||||
|
||||
deepbook_swaps AS (
|
||||
SELECT
|
||||
checkpoint_number,
|
||||
block_timestamp,
|
||||
tx_digest,
|
||||
event_index,
|
||||
'DeepBook' AS platform,
|
||||
event_address AS platform_address,
|
||||
NULL AS pool_address,
|
||||
parsed_json:amount_in::NUMBER AS amount_in_raw,
|
||||
parsed_json:amount_out::NUMBER AS amount_out_raw,
|
||||
NULL AS a_to_b,
|
||||
0 AS fee_amount_raw,
|
||||
NULL AS partner_address,
|
||||
0 AS referral_amount_raw,
|
||||
1 AS steps,
|
||||
NULL AS token_in_type,
|
||||
NULL AS token_out_type,
|
||||
NULL AS trader_address,
|
||||
modified_timestamp
|
||||
FROM core_events
|
||||
WHERE type = '0xe8f996ea6ff38c557c253d3b93cfe2ebf393816487266786371aa4532a9229f2::settle::Swap'
|
||||
),
|
||||
|
||||
all_swaps AS (
|
||||
SELECT * FROM cetus_swaps
|
||||
UNION ALL
|
||||
SELECT * FROM turbos_swaps
|
||||
UNION ALL
|
||||
SELECT * FROM bluefin_swaps
|
||||
UNION ALL
|
||||
SELECT * FROM hop_aggregator_swaps
|
||||
UNION ALL
|
||||
SELECT * FROM flowx_swaps
|
||||
UNION ALL
|
||||
SELECT * FROM deepbook_swaps
|
||||
)
|
||||
|
||||
SELECT
|
||||
checkpoint_number,
|
||||
block_timestamp,
|
||||
tx_digest,
|
||||
event_index,
|
||||
platform,
|
||||
platform_address,
|
||||
pool_address,
|
||||
amount_in_raw,
|
||||
amount_out_raw,
|
||||
a_to_b,
|
||||
fee_amount_raw,
|
||||
partner_address,
|
||||
referral_amount_raw,
|
||||
steps,
|
||||
token_in_type,
|
||||
token_out_type,
|
||||
trader_address,
|
||||
{{ dbt_utils.generate_surrogate_key(['tx_digest', 'event_index']) }} AS dex_swaps_id,
|
||||
SYSDATE() AS inserted_timestamp,
|
||||
modified_timestamp,
|
||||
'{{ invocation_id }}' AS _invocation_id
|
||||
FROM
|
||||
all_swaps
|
||||
Loading…
Reference in New Issue
Block a user