* Rimossi old docs & demos
* Aggiornata la documentazione dell'architettura dell'app
* Aggiunti nuovi script demo per i provider di mercato
* Fix problems with socials
* Fix Dockerfile per dipendenze di X
This commit was merged in pull request #42.
This commit is contained in:
Giacomo Bertolazzi
2025-10-27 12:42:58 +01:00
committed by GitHub
parent 551b6a049f
commit 08774bee1b
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# 📊 Architettura e Flussi dell'App upo-appAI
# 📊 Architettura upo-appAI
## 🏗️ Diagramma Architettura Generale
## 🏗️ Architettura Generale
```
┌─────────────────────────────────────────────────────────────────┐
│ 🌐 GRADIO UI │
│ ┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐ │
│ │ User Input │ │ Provider │ │ Style │
│ (Query) │ │ (Model) │ │ (Conservative/ │ │
│ │ │ │ │ │ Aggressive) │ │
│ └─────────────────┘ └─────────────────┘ └─────────────────┘ │
└─────────────────────────┬───────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────────┐
│ 🔧 TOOL AGENT │
│ (Central Orchestrator) │
│ │
│ ┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐ │
│ │ 1. Collect Data │ │ 2. Analyze │ │ 3. Predict & │ │
│ │ │ │ Sentiment │ │ Recommend │
└─────────────────┘ └─────────────────┘ └─────────────────┘ │
└─────────────────────────┬───────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────────┐
│ 📊 AGENT ECOSYSTEM │
│ │
│ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ ┌───────────┐│
│ │ MARKET │ │ NEWS │ │ SOCIAL │ │ PREDICTOR ││
│ │ AGENT │ │ AGENT │ │ AGENT │ │ AGENT ││
│ │ │ │ │ │ │ │ ││
│ │ 📈 Coinbase │ │ 📰 News API │ │ 🐦 Social │ │ 🤖 LLM ││
│ │ 📊 CryptoCmp│ │ │ │ Media │ │ Analysis ││
│ │ 🟡 Binance │ │ │ │ │ │ ││
│ └─────────────┘ └─────────────┘ └─────────────┘ └───────────┘│
└─────────────────────────────────────────────────────────────────┘
INTERFACCE UTENTE
├── 💬 Gradio Web (Chat + Dropdown modelli/strategie)
└── 📱 Telegram Bot (Mini App)
CHAT MANAGER
├── Storico messaggi
├── Gestione PipelineInputs
└── Salva/Carica chat
AGNO WORKFLOW PIPELINE (4 Steps)
├── 1. Query Check → Verifica crypto
├── 2. Condition → Valida procedere
├── 3. Info Recovery → Team raccolta dati
└── 4. Report Generation → Report finale
AGNO AGENT ECOSYSTEM
├── 👔 TEAM LEADER (coordina Market, News, Social)
│ Tools: ReasoningTools, PlanMemoryTool, CryptoSymbolsTools
├── 📈 MARKET AGENT → MarketAPIsTool
├── 📰 NEWS AGENT → NewsAPIsTool
├── 🐦 SOCIAL AGENT → SocialAPIsTool
├── 🔍 QUERY CHECK AGENT → QueryOutputs (is_crypto: bool)
└── 📋 REPORT GENERATOR AGENT → Strategia applicata
```
## 🔄 Flusso di Esecuzione Dettagliato
## 🔄 Flusso Esecuzione
```
👤 USER REQUEST
│ "Analizza Bitcoin con strategia aggressiva"
┌─────────────────────────────────────────────────────────────┐
🔧 TOOL AGENT │
│ │
│ def interact(query, provider, style): │
│ │ │
│ ├── 📊 market_data = market_agent.analyze(query) │
│ ├── 📰 news_sentiment = news_agent.analyze(query) │
│ ├── 🐦 social_sentiment = social_agent.analyze(query) │
│ │ │
│ └── 🤖 prediction = predictor_agent.predict(...) │
└─────────────────────────────────────────────────────────────┘
📊 MARKET AGENT - Parallel Data Collection
┌─────────────────────────────────────────────────────────────┐
│ │
│ 🔍 Auto-detect Available Providers: │
│ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │
│ │ Coinbase │ │ CryptoComp │ │ Binance │ │
│ │ REST │ │ API │ │ Mock │ │
│ │ │ │ │ │ │ │
│ │ ✅ Active │ │ ✅ Active │ │ ✅ Active │ │
│ │ $63,500 BTC │ │ $63,450 BTC │ │ $63,600 BTC │ │
│ └─────────────┘ └─────────────┘ └─────────────┘ │
│ │
│ 📈 Aggregated Result: │
│ { │
│ "aggregated_data": { │
│ "BTC_USD": { │
│ "price": 63516.67, │
│ "confidence": 0.94, │
│ "sources_count": 3 │
│ } │
│ }, │
│ "individual_sources": {...}, │
│ "market_signals": {...} │
│ } │
└─────────────────────────────────────────────────────────────┘
📰 NEWS AGENT + 🐦 SOCIAL AGENT
┌─────────────────────────────────────────────────────────────┐
│ │
│ 📰 News Sentiment: "Positive momentum, institutional │
│ adoption increasing..." │
│ │
│ 🐦 Social Sentiment: "Bullish sentiment on Reddit, │
│ Twitter mentions up 15%..." │
└─────────────────────────────────────────────────────────────┘
🤖 PREDICTOR AGENT
┌─────────────────────────────────────────────────────────────┐
│ │
│ Input: │
│ ├── 📊 Market Data (aggregated + confidence) │
│ ├── 📰🐦 Combined Sentiment │
│ ├── 🎯 Style: "aggressive" │
│ └── 🤖 Provider: "openai/anthropic/google..." │
│ │
│ 🧠 LLM Processing: │
│ "Based on high confidence market data (0.94) showing │
│ $63,516 BTC with positive sentiment across news and │
│ social channels, aggressive strategy recommendation..." │
└─────────────────────────────────────────────────────────────┘
📋 FINAL OUTPUT
┌─────────────────────────────────────────────────────────────┐
│ 📊 Market Data Summary │
│ 📰🐦 Sentiment Analysis │
│ 📈 Final Recommendation: │
│ "Strong BUY signal with 85% confidence..." │
└─────────────────────────────────────────────────────────────┘
**Input:** "Analizza Bitcoin con strategia aggressiva"
1. CHAT MANAGER riceve e prepara PipelineInputs
2. WORKFLOW PIPELINE esegue 4 step:
- Query Check: valida `is_crypto: true`
- Condition: se false, termina
- Info Recovery: Team raccoglie dati
- Report Generation: genera report
3. OUTPUT: Report con analisi + raccomandazioni
## 🏛️ Architettura API
**Tools (Agno Toolkit):**
- MarketAPIsTool: Binance, YFinance, CoinBase, CryptoCompare
- NewsAPIsTool: NewsAPI, GoogleNews, DuckDuckGo, CryptoPanic
- SocialAPIsTool: Reddit, X, 4chan
- CryptoSymbolsTools: `resources/cryptos.csv`
**WrapperHandler:** Failover automatico (3 tentativi/wrapper, 2s delay)
## 📊 Data Aggregation
**ProductInfo:**
- Volume: media tra sources
- Price: weighted average (price × volume)
- Confidence: spread + numero sources
**Historical Price:**
- Align per timestamp
- Media: high, low, open, close, volume
## 🎯 Configuration
**configs.yaml:**
```yaml
port: 8000
models: [Ollama, OpenAI, Anthropic, Google]
strategies: [Conservative, Aggressive]
agents: {team_model, team_leader_model, ...}
api: {retry_attempts: 3, retry_delay_seconds: 2}
```
## 🏛️ Architettura dei Provider (Market Agent)
**.env (API Keys):**
- Market: CDP_API_KEY, CRYPTOCOMPARE_API_KEY, ...
- News: NEWS_API_KEY, CRYPTOPANIC_API_KEY, ...
- Social: REDDIT_CLIENT_ID, X_API_KEY, ...
- LLM: OPENAI_API_KEY, ANTHROPIC_API_KEY, ...
- Bot: TELEGRAM_BOT_TOKEN
## 🗂️ Struttura Progetto
```
┌─────────────────────────────────────────────────────────────────┐
│ 📊 MARKET AGENT │
│ │
│ 🔍 Provider Detection Logic: │
┌─────────────────────────────────────────────────────────────┐│
│ def _setup_providers(): ││
│ ├── 🔑 Check CDP_API_KEY_NAME + CDP_API_PRIVATE_KEY ││
│ │ │ └── ✅ Setup Coinbase Advanced Trade ││
│ │ ├── 🔑 Check CRYPTOCOMPARE_API_KEY ││
│ │ └── ✅ Setup CryptoCompare ││
│ └── 🔑 Check BINANCE_API_KEY (future) ││
└── ✅ Setup Binance API ││
└─────────────────────────────────────────────────────────────┘│
📡 Data Flow: │
│ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │
│ │ Provider 1 │───▶│ │◀───│ Provider 2 │ │
│ │ Coinbase │ │ AGGREGATOR │ │ CryptoComp │ │
│ │ │ │ │ │ │ │
│ │ Real-time │ │ ┌─────────┐ │ │ Real-time │ │
│ │ Market Data │ │ │Confidence│ │ │ Market Data │ │
│ └─────────────┘ │ │Scoring │ │ └─────────────┘ │
│ │ │ │ │ │
│ ┌─────────────┐ │ │ Spread │ │ ┌─────────────┐ │
│ │ Provider 3 │───▶│ │Analysis │ │◀───│ Provider N │ │
│ │ Binance │ │ │ │ │ │ Future │ │
│ │ │ │ └─────────┘ │ │ │ │
│ │ Mock Data │ │ │ │ │ │
│ └─────────────┘ └─────────────┘ └─────────────┘ │
└─────────────────────────────────────────────────────────────────┘
src/app/
├── __main__.py
├── configs.py
├── agents/
├── core.py
├── pipeline.py
│ ├── plan_memory_tool.py
│ └── prompts/
├── api/
├── wrapper_handler.py
├── core/ (markets, news, social)
├── markets/ (Binance, CoinBase, CryptoCompare, YFinance)
├── news/ (NewsAPI, GoogleNews, DuckDuckGo, CryptoPanic)
├── social/ (Reddit, X, 4chan)
└── tools/ (Agno Toolkits)
└── interface/ (chat.py, telegram_app.py)
tests/
demos/
resources/cryptos.csv
docs/
configs.yaml
.env
```
## 🔧 Signers Architecture
## 🔑 Componenti Chiave
```
┌─────────────────────────────────────────────────────────────────┐
│ 🔐 SIGNERS ECOSYSTEM │
│ │
│ 📁 src/app/signers/market_signers/ │
│ │ │
│ ├── 🏦 coinbase_rest_signer.py │
│ │ ├── 🔑 Uses: CDP_API_KEY_NAME + CDP_API_PRIVATE_KEY │
│ │ ├── 📡 RESTClient from coinbase.rest │
│ │ ├── 📊 get_asset_info() → Real Coinbase data │
│ │ └── 📈 get_multiple_assets() → Bulk data │
│ │ │
│ ├── 📊 cryptocompare_signer.py │
│ │ ├── 🔑 Uses: CRYPTOCOMPARE_API_KEY │
│ │ ├── 📡 Direct HTTP requests │
│ │ ├── 💰 get_crypto_prices() → Multi-currency │
│ │ └── 🏆 get_top_cryptocurrencies() → Market cap │
│ │ │
│ └── 🟡 binance_signer.py │
│ ├── 🔑 Uses: BINANCE_API_KEY (future) │
│ ├── 📡 Mock implementation │
│ ├── 🎭 Simulated market data │
│ └── 📈 Compatible interface │
└─────────────────────────────────────────────────────────────────┘
1. **Agno Framework**: Agent, Team, Workflow, Toolkit, RunEvent
2. **WrapperHandler**: Failover, Retry logic, Type safety
3. **Data Aggregation**: Multiple sources, Confidence score
4. **Multi-Interface**: Gradio + Telegram
5. **Configuration**: configs.yaml + .env
## 🚀 Deployment
**Docker:**
```bash
docker-compose up --build -d
```
## 🚀 Future Enhancement: Async Flow
```
📱 USER REQUEST
🔧 TOOL AGENT (async)
┌────────────────┼────────────────┐
│ │ │
▼ ▼ ▼
📊 Market 📰 News 🐦 Social
Agent (async) Agent (async) Agent (async)
│ │ │
┌────┼────┐ │ │
▼ ▼ ▼ │ │
Coinbase │ Binance │ │
CC │ │ │
▼▼▼ ▼ ▼
🔄 Parallel 📰 Sentiment 🐦 Sentiment
Aggregation Analysis Analysis
│ │ │
└────────────────┼────────────────┘
🤖 PREDICTOR AGENT
(LLM Analysis)
📋 FINAL RESULT
(JSON + Confidence)
**Local (UV):**
```bash
uv venv
uv pip install -e .
uv run src/app
```
## 📊 Data Flow Example
## 🎯 Workflow Asincrono
```
Input: "Analyze Bitcoin aggressive strategy"
├── 📊 Market Agent Output:
│ {
│ "aggregated_data": {
│ "BTC_USD": {"price": 63516.67, "confidence": 0.94}
│ },
│ "individual_sources": {
"coinbase": {"price": 63500, "volume": "1.2M"},
"cryptocompare": {"price": 63450, "volume": "N/A"},
│ "binance": {"price": 63600, "volume": "2.1M"}
│ },
│ "market_signals": {
│ "spread_analysis": "Low spread (0.24%) - healthy liquidity",
│ "price_divergence": "Max deviation: 0.24% - Normal range"
│ }
│ }
├── 📰 News Sentiment: "Positive institutional adoption news..."
├── 🐦 Social Sentiment: "Bullish Reddit sentiment, +15% mentions"
└── 🤖 Predictor Output:
"📈 Strong BUY recommendation based on:
- High confidence market data (94%)
- Positive news sentiment
- Bullish social indicators
- Low spread indicates healthy liquidity
Aggressive Strategy: Consider 15-20% portfolio allocation"
```python
workflow = Workflow(steps=[
query_check, condition,
info_recovery, report_generation
])
iterator = await workflow.arun(query, stream=True)
async for event in iterator:
if event.event == PipelineEvent.TOOL_USED:
log(f"Tool: {event.tool.tool_name}")
```
---
*Diagrammi creati: 2025-09-23*
*Sistema: upo-appAI Market Analysis Platform*
**Vantaggi:** Asincrono, Streaming, Condizionale, Retry
## 📈 Future Enhancements
- Parallel Tool Execution
- Caching (Redis)
- Database (PostgreSQL)
- Real-time WebSocket
- ML Models
- User Profiles
- Backtesting