File size: 18,971 Bytes
5cd2b89 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 |
"""
Data Persistence Module
Saves collected data from all collectors into the database
"""
from datetime import datetime
from typing import Dict, List, Any, Optional
from database.db_manager import db_manager
from utils.logger import setup_logger
logger = setup_logger("data_persistence")
class DataPersistence:
"""
Handles saving collected data to the database
"""
def __init__(self):
"""Initialize data persistence"""
self.stats = {
'market_prices_saved': 0,
'news_saved': 0,
'sentiment_saved': 0,
'whale_txs_saved': 0,
'gas_prices_saved': 0,
'blockchain_stats_saved': 0
}
def reset_stats(self):
"""Reset persistence statistics"""
for key in self.stats:
self.stats[key] = 0
def get_stats(self) -> Dict[str, int]:
"""Get persistence statistics"""
return self.stats.copy()
def save_market_data(self, results: List[Dict[str, Any]]) -> int:
"""
Save market data to database
Args:
results: List of market data results from collectors
Returns:
Number of prices saved
"""
saved_count = 0
for result in results:
if not result.get('success', False):
continue
provider = result.get('provider', 'Unknown')
data = result.get('data')
if not data:
continue
try:
# CoinGecko format
if provider == "CoinGecko" and isinstance(data, dict):
# Map CoinGecko coin IDs to symbols
symbol_map = {
'bitcoin': 'BTC',
'ethereum': 'ETH',
'binancecoin': 'BNB'
}
for coin_id, coin_data in data.items():
if isinstance(coin_data, dict) and 'usd' in coin_data:
symbol = symbol_map.get(coin_id, coin_id.upper())
db_manager.save_market_price(
symbol=symbol,
price_usd=coin_data.get('usd', 0),
market_cap=coin_data.get('usd_market_cap'),
volume_24h=coin_data.get('usd_24h_vol'),
price_change_24h=coin_data.get('usd_24h_change'),
source=provider
)
saved_count += 1
# Binance format
elif provider == "Binance" and isinstance(data, dict):
# Binance returns symbol -> price mapping
for symbol, price in data.items():
if isinstance(price, (int, float)):
# Remove "USDT" suffix if present
clean_symbol = symbol.replace('USDT', '')
db_manager.save_market_price(
symbol=clean_symbol,
price_usd=float(price),
source=provider
)
saved_count += 1
# CoinMarketCap format
elif provider == "CoinMarketCap" and isinstance(data, dict):
if 'data' in data:
for coin_id, coin_data in data['data'].items():
if isinstance(coin_data, dict):
symbol = coin_data.get('symbol', '').upper()
quote_usd = coin_data.get('quote', {}).get('USD', {})
if symbol and quote_usd:
db_manager.save_market_price(
symbol=symbol,
price_usd=quote_usd.get('price', 0),
market_cap=quote_usd.get('market_cap'),
volume_24h=quote_usd.get('volume_24h'),
price_change_24h=quote_usd.get('percent_change_24h'),
source=provider
)
saved_count += 1
except Exception as e:
logger.error(f"Error saving market data from {provider}: {e}", exc_info=True)
self.stats['market_prices_saved'] += saved_count
if saved_count > 0:
logger.info(f"Saved {saved_count} market prices to database")
return saved_count
def save_news_data(self, results: List[Dict[str, Any]]) -> int:
"""
Save news data to database
Args:
results: List of news results from collectors
Returns:
Number of articles saved
"""
saved_count = 0
for result in results:
if not result.get('success', False):
continue
provider = result.get('provider', 'Unknown')
data = result.get('data')
if not data:
continue
try:
# CryptoPanic format
if provider == "CryptoPanic" and isinstance(data, dict):
results_list = data.get('results', [])
for article in results_list:
if not isinstance(article, dict):
continue
# Parse published_at
published_at = None
if 'created_at' in article:
try:
pub_str = article['created_at']
if pub_str.endswith('Z'):
pub_str = pub_str.replace('Z', '+00:00')
published_at = datetime.fromisoformat(pub_str)
except:
published_at = datetime.utcnow()
if not published_at:
published_at = datetime.utcnow()
# Extract currencies as tags
currencies = article.get('currencies', [])
tags = ','.join([c.get('code', '') for c in currencies if isinstance(c, dict)])
db_manager.save_news_article(
title=article.get('title', ''),
content=article.get('body', ''),
source=provider,
url=article.get('url', ''),
published_at=published_at,
sentiment=article.get('sentiment'),
tags=tags
)
saved_count += 1
# NewsAPI format (newsdata.io)
elif provider == "NewsAPI" and isinstance(data, dict):
results_list = data.get('results', [])
for article in results_list:
if not isinstance(article, dict):
continue
# Parse published_at
published_at = None
if 'pubDate' in article:
try:
pub_str = article['pubDate']
if pub_str.endswith('Z'):
pub_str = pub_str.replace('Z', '+00:00')
published_at = datetime.fromisoformat(pub_str)
except:
published_at = datetime.utcnow()
if not published_at:
published_at = datetime.utcnow()
# Extract keywords as tags
keywords = article.get('keywords', [])
tags = ','.join(keywords) if isinstance(keywords, list) else ''
db_manager.save_news_article(
title=article.get('title', ''),
content=article.get('description', ''),
source=provider,
url=article.get('link', ''),
published_at=published_at,
tags=tags
)
saved_count += 1
except Exception as e:
logger.error(f"Error saving news data from {provider}: {e}", exc_info=True)
self.stats['news_saved'] += saved_count
if saved_count > 0:
logger.info(f"Saved {saved_count} news articles to database")
return saved_count
def save_sentiment_data(self, results: List[Dict[str, Any]]) -> int:
"""
Save sentiment data to database
Args:
results: List of sentiment results from collectors
Returns:
Number of sentiment metrics saved
"""
saved_count = 0
for result in results:
if not result.get('success', False):
continue
provider = result.get('provider', 'Unknown')
data = result.get('data')
if not data:
continue
try:
# Fear & Greed Index format
if provider == "AlternativeMe" and isinstance(data, dict):
data_list = data.get('data', [])
if data_list and isinstance(data_list, list):
index_data = data_list[0]
if isinstance(index_data, dict):
value = float(index_data.get('value', 50))
value_classification = index_data.get('value_classification', 'neutral')
# Map classification to standard format
classification_map = {
'Extreme Fear': 'extreme_fear',
'Fear': 'fear',
'Neutral': 'neutral',
'Greed': 'greed',
'Extreme Greed': 'extreme_greed'
}
classification = classification_map.get(
value_classification,
value_classification.lower().replace(' ', '_')
)
# Parse timestamp
timestamp = None
if 'timestamp' in index_data:
try:
timestamp = datetime.fromtimestamp(int(index_data['timestamp']))
except:
pass
db_manager.save_sentiment_metric(
metric_name='fear_greed_index',
value=value,
classification=classification,
source=provider,
timestamp=timestamp
)
saved_count += 1
except Exception as e:
logger.error(f"Error saving sentiment data from {provider}: {e}", exc_info=True)
self.stats['sentiment_saved'] += saved_count
if saved_count > 0:
logger.info(f"Saved {saved_count} sentiment metrics to database")
return saved_count
def save_whale_data(self, results: List[Dict[str, Any]]) -> int:
"""
Save whale transaction data to database
Args:
results: List of whale tracking results from collectors
Returns:
Number of whale transactions saved
"""
saved_count = 0
for result in results:
if not result.get('success', False):
continue
provider = result.get('provider', 'Unknown')
data = result.get('data')
if not data:
continue
try:
# WhaleAlert format
if provider == "WhaleAlert" and isinstance(data, dict):
transactions = data.get('transactions', [])
for tx in transactions:
if not isinstance(tx, dict):
continue
# Parse timestamp
timestamp = None
if 'timestamp' in tx:
try:
timestamp = datetime.fromtimestamp(tx['timestamp'])
except:
timestamp = datetime.utcnow()
if not timestamp:
timestamp = datetime.utcnow()
# Extract addresses
from_address = tx.get('from', {}).get('address', '') if isinstance(tx.get('from'), dict) else ''
to_address = tx.get('to', {}).get('address', '') if isinstance(tx.get('to'), dict) else ''
db_manager.save_whale_transaction(
blockchain=tx.get('blockchain', 'unknown'),
transaction_hash=tx.get('hash', ''),
from_address=from_address,
to_address=to_address,
amount=float(tx.get('amount', 0)),
amount_usd=float(tx.get('amount_usd', 0)),
source=provider,
timestamp=timestamp
)
saved_count += 1
except Exception as e:
logger.error(f"Error saving whale data from {provider}: {e}", exc_info=True)
self.stats['whale_txs_saved'] += saved_count
if saved_count > 0:
logger.info(f"Saved {saved_count} whale transactions to database")
return saved_count
def save_blockchain_data(self, results: List[Dict[str, Any]]) -> int:
"""
Save blockchain data (gas prices, stats) to database
Args:
results: List of blockchain results from collectors
Returns:
Number of records saved
"""
saved_count = 0
for result in results:
if not result.get('success', False):
continue
provider = result.get('provider', 'Unknown')
data = result.get('data')
if not data:
continue
try:
# Etherscan gas price format
if provider == "Etherscan" and isinstance(data, dict):
if 'result' in data:
gas_data = data['result']
if isinstance(gas_data, dict):
db_manager.save_gas_price(
blockchain='ethereum',
gas_price_gwei=float(gas_data.get('ProposeGasPrice', 0)),
fast_gas_price=float(gas_data.get('FastGasPrice', 0)),
standard_gas_price=float(gas_data.get('ProposeGasPrice', 0)),
slow_gas_price=float(gas_data.get('SafeGasPrice', 0)),
source=provider
)
saved_count += 1
self.stats['gas_prices_saved'] += 1
# Other blockchain explorers
elif provider in ["BSCScan", "PolygonScan"]:
blockchain_map = {
"BSCScan": "bsc",
"PolygonScan": "polygon"
}
blockchain = blockchain_map.get(provider, provider.lower())
if 'result' in data and isinstance(data['result'], dict):
gas_data = data['result']
db_manager.save_gas_price(
blockchain=blockchain,
gas_price_gwei=float(gas_data.get('ProposeGasPrice', 0)),
fast_gas_price=float(gas_data.get('FastGasPrice', 0)),
standard_gas_price=float(gas_data.get('ProposeGasPrice', 0)),
slow_gas_price=float(gas_data.get('SafeGasPrice', 0)),
source=provider
)
saved_count += 1
self.stats['gas_prices_saved'] += 1
except Exception as e:
logger.error(f"Error saving blockchain data from {provider}: {e}", exc_info=True)
if saved_count > 0:
logger.info(f"Saved {saved_count} blockchain records to database")
return saved_count
def save_all_data(self, results: Dict[str, Any]) -> Dict[str, int]:
"""
Save all collected data to database
Args:
results: Results dictionary from master collector
Returns:
Dictionary with save statistics
"""
logger.info("=" * 60)
logger.info("Saving collected data to database...")
logger.info("=" * 60)
self.reset_stats()
data = results.get('data', {})
# Save market data
if 'market_data' in data:
self.save_market_data(data['market_data'])
# Save news data
if 'news' in data:
self.save_news_data(data['news'])
# Save sentiment data
if 'sentiment' in data:
self.save_sentiment_data(data['sentiment'])
# Save whale tracking data
if 'whale_tracking' in data:
self.save_whale_data(data['whale_tracking'])
# Save blockchain data
if 'blockchain' in data:
self.save_blockchain_data(data['blockchain'])
stats = self.get_stats()
total_saved = sum(stats.values())
logger.info("=" * 60)
logger.info("Data Persistence Complete")
logger.info(f"Total records saved: {total_saved}")
logger.info(f" Market prices: {stats['market_prices_saved']}")
logger.info(f" News articles: {stats['news_saved']}")
logger.info(f" Sentiment metrics: {stats['sentiment_saved']}")
logger.info(f" Whale transactions: {stats['whale_txs_saved']}")
logger.info(f" Gas prices: {stats['gas_prices_saved']}")
logger.info(f" Blockchain stats: {stats['blockchain_stats_saved']}")
logger.info("=" * 60)
return stats
# Global instance
data_persistence = DataPersistence()
|