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import asyncio
import logging
import time
import json
import random
import os
from enum import Enum
from typing import Dict, List, Any, Optional, Callable, Awaitable
from dataclasses import dataclass, field
from datetime import datetime
from backend.cache.ttl_cache import ttl_cache
# Configure logging
def setup_provider_logger(name, log_file):
handler = logging.FileHandler(log_file)
formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
handler.setFormatter(formatter)
logger = logging.getLogger(name)
logger.setLevel(logging.INFO)
logger.addHandler(handler)
return logger
health_logger = setup_provider_logger("provider_health", "logs/provider_health.log")
failure_logger = setup_provider_logger("provider_failures", "logs/provider_failures.log")
rotation_logger = setup_provider_logger("provider_rotation", "logs/provider_rotation.log")
main_logger = logging.getLogger("ProviderManager")
class ProviderStatus(Enum):
ACTIVE = "active"
COOLDOWN = "cooldown"
FAILED = "failed"
DISABLED = "disabled"
RATE_LIMITED = "rate_limited" # NEW: Specific status for rate limited providers
@dataclass
class ProviderMetrics:
total_requests: int = 0
success_count: int = 0
failure_count: int = 0
consecutive_failures: int = 0
last_response_time: float = 0.0
avg_response_time: float = 0.0
last_success: float = 0.0
last_failure: float = 0.0
rate_limit_hits: int = 0
@dataclass
class ProviderConfig:
name: str
category: str # market, news, onchain, sentiment, rpc
base_url: str
api_key: Optional[str] = None
weight: int = 100
priority: int = 100 # NEW: Priority (higher = better, 1-100 scale)
rate_limit_per_min: int = 60
timeout: int = 10
headers: Dict[str, str] = field(default_factory=dict)
# SMART ROUTING: Priority mapping
# Priority 1 (90-100): Crypto DT Source (Binance proxy), fast and reliable
# Priority 2 (80-89): Crypto API Clean (281 resources, 7.8ms avg)
# Priority 3 (70-79): CryptoCompare (working well)
# Priority 4 (60-69): CoinGecko (cached only, rate limited, last resort)
class Provider:
def __init__(self, config: ProviderConfig, fetch_func: Callable[..., Awaitable[Any]]):
self.config = config
self.fetch_func = fetch_func
self.status = ProviderStatus.ACTIVE
self.metrics = ProviderMetrics()
self.cooldown_until: float = 0.0
self.request_timestamps: List[float] = [] # For sliding window rate limiting
async def is_available(self) -> bool:
if self.status == ProviderStatus.DISABLED:
return False
now = time.time()
# Check cooldown
if self.status == ProviderStatus.COOLDOWN:
if now >= self.cooldown_until:
self.recover()
else:
return False
# Check rate limits
self._clean_request_timestamps(now)
if len(self.request_timestamps) >= self.config.rate_limit_per_min:
main_logger.warning(f"Provider {self.config.name} hit rate limit ({len(self.request_timestamps)}/{self.config.rate_limit_per_min})")
return False
return True
def _clean_request_timestamps(self, now: float):
"""Remove timestamps older than 1 minute"""
cutoff = now - 60
self.request_timestamps = [t for t in self.request_timestamps if t > cutoff]
def record_request(self):
self.metrics.total_requests += 1
self.request_timestamps.append(time.time())
def record_success(self, latency: float):
self.metrics.success_count += 1
self.metrics.consecutive_failures = 0
self.metrics.last_success = time.time()
self.metrics.last_response_time = latency
# Moving average
if self.metrics.avg_response_time == 0:
self.metrics.avg_response_time = latency
else:
self.metrics.avg_response_time = (self.metrics.avg_response_time * 0.9) + (latency * 0.1)
health_logger.info(f"SUCCESS: {self.config.name} | Latency: {latency*1000:.2f}ms | Avg: {self.metrics.avg_response_time*1000:.2f}ms")
def record_failure(self, error: str):
self.metrics.failure_count += 1
self.metrics.consecutive_failures += 1
self.metrics.last_failure = time.time()
failure_logger.error(f"FAILURE: {self.config.name} | Error: {error} | Consecutive: {self.metrics.consecutive_failures}")
# Check if it's a rate limit error
if "429" in error or "rate limit" in error.lower():
self.metrics.rate_limit_hits += 1
self.status = ProviderStatus.RATE_LIMITED
# Longer cooldown for rate limits (5 minutes for CoinGecko)
if "coingecko" in self.config.name.lower():
self.enter_cooldown(reason="Rate limit (429)", duration=300) # 5 minutes
else:
self.enter_cooldown(reason="Rate limit", duration=120) # 2 minutes
# Auto-cooldown logic for consecutive failures
elif self.metrics.consecutive_failures >= 3:
self.enter_cooldown(reason="Too many consecutive failures")
def enter_cooldown(self, reason: str, duration: int = 60):
self.status = ProviderStatus.COOLDOWN
self.cooldown_until = time.time() + duration
main_logger.warning(f"Provider {self.config.name} entering COOLDOWN for {duration}s. Reason: {reason}")
rotation_logger.info(f"COOLDOWN_START: {self.config.name} | Duration: {duration}s | Reason: {reason}")
def recover(self):
self.status = ProviderStatus.ACTIVE
self.cooldown_until = 0.0
self.metrics.consecutive_failures = 0
main_logger.info(f"Provider {self.config.name} recovered from cooldown")
rotation_logger.info(f"RECOVERY: {self.config.name} returned to active pool")
class ProviderManager:
def __init__(self):
self.providers: Dict[str, List[Provider]] = {
"market": [],
"news": [],
"onchain": [],
"sentiment": [],
"rpc": []
}
self._lock = asyncio.Lock()
def register_provider(self, category: str, config: ProviderConfig, fetch_func: Callable[..., Awaitable[Any]]):
if category not in self.providers:
self.providers[category] = []
provider = Provider(config, fetch_func)
self.providers[category].append(provider)
main_logger.info(f"Registered provider: {config.name} for category: {category}")
async def get_next_provider(self, category: str) -> Optional[Provider]:
"""
Get next provider with SMART PRIORITY-BASED ROUTING
Priority order:
1. Crypto DT Source (90-100): Binance proxy, fast, reliable
2. Crypto API Clean (80-89): 281 resources, 7.8ms avg
3. CryptoCompare (70-79): Working well
4. CoinGecko (60-69): Cached only, rate limited, last resort
Falls back to round-robin if priorities are equal
"""
async with self._lock:
if category not in self.providers or not self.providers[category]:
return None
queue = self.providers[category]
# Sort providers by priority (highest first) and availability
sorted_providers = sorted(
queue,
key=lambda p: (
p.config.priority if hasattr(p.config, 'priority') else p.config.weight,
-p.metrics.consecutive_failures,
p.metrics.avg_response_time if p.metrics.avg_response_time > 0 else 999
),
reverse=True
)
# Find first available provider in priority order
for provider in sorted_providers:
if await provider.is_available():
rotation_logger.info(
f"SMART_ROUTING: Selected {provider.config.name} "
f"(priority: {getattr(provider.config, 'priority', provider.config.weight)}, "
f"avg_latency: {provider.metrics.avg_response_time*1000:.1f}ms) "
f"for {category}"
)
return provider
# No available provider
main_logger.warning(f"No available providers for {category}")
return None
async def fetch_data(self, category: str, params: Dict[str, Any] = None, use_cache: bool = True, ttl: int = 60) -> Dict[str, Any]:
"""
Main entry point for fetching data.
Handles caching, rotation, failover, and standardized response.
"""
if params is None:
params = {}
# 1. Check Cache
cache_key = f"{category}:{json.dumps(params, sort_keys=True)}"
if use_cache:
cached = await ttl_cache.get(cache_key)
if cached:
main_logger.debug(f"Cache hit for {cache_key}")
return cached
# 2. Get Provider & Fetch
attempts = 0
max_attempts = len(self.providers.get(category, [])) + 1 # Try potentially all providers + retry
errors = []
while attempts < max_attempts:
provider = await self.get_next_provider(category)
if not provider:
if attempts == 0:
main_logger.error(f"No providers available for {category}")
return self._create_error_response("No providers available", category)
else:
# All providers exhausted or busy
break
attempts += 1
start_time = time.time()
provider.record_request()
try:
# Call the fetch function
# Note: fetch_func should accept **params
main_logger.info(f"Fetching {category} from {provider.config.name}...")
# Add headers if needed
request_kwargs = params.copy()
if provider.config.api_key and "api_key" not in request_kwargs:
# Some providers need key in params, some in headers.
# The fetch_func implementation should handle how to use the key from config
pass
result = await provider.fetch_func(provider.config, **params)
# Success
latency = time.time() - start_time
provider.record_success(latency)
response = {
"success": True,
"data": result,
"source": provider.config.name,
"timestamp": datetime.utcnow().isoformat(),
"latency_ms": round(latency * 1000, 2)
}
# Set Cache
if use_cache:
await ttl_cache.set(cache_key, response, ttl=ttl)
return response
except Exception as e:
error_msg = str(e)
latency = time.time() - start_time
provider.record_failure(error_msg)
errors.append(f"{provider.config.name}: {error_msg}")
main_logger.warning(f"Provider {provider.config.name} failed: {error_msg}. Rotating...")
# If it's a critical failure (401, 403, 429), maybe longer cooldown?
if "429" in error_msg:
provider.enter_cooldown("Rate limit hit", duration=300)
continue
# Fallback if all failed
failure_logger.critical(f"All providers failed for {category}. Errors: {errors}")
return self._create_error_response(f"All providers failed: {'; '.join(errors)}", category)
def _create_error_response(self, message: str, category: str) -> Dict[str, Any]:
return {
"success": False,
"error": message,
"category": category,
"timestamp": datetime.utcnow().isoformat(),
"data": None
}
def get_stats(self) -> Dict[str, Any]:
"""Get basic provider statistics"""
stats = {}
for category, providers in self.providers.items():
stats[category] = []
for p in providers:
stats[category].append({
"name": p.config.name,
"status": p.status.value,
"success_rate": round((p.metrics.success_count / max(1, p.metrics.total_requests)) * 100, 2),
"avg_latency": round(p.metrics.avg_response_time * 1000, 2),
"requests": p.metrics.total_requests,
"failures": p.metrics.failure_count
})
return stats
def get_detailed_stats(self) -> List[Dict[str, Any]]:
"""
Get detailed provider statistics for status display
Returns list of providers with detailed metrics:
- name, status, priority
- response_time_ms, success_rate
- last_check, error details
- rate_limit_hits, cooldown status
"""
detailed_stats = []
for category, providers in self.providers.items():
for p in providers:
stat = {
"name": p.config.name,
"category": category,
"status": p.status.value,
"priority": getattr(p.config, 'priority', p.config.weight),
"response_time_ms": round(p.metrics.avg_response_time * 1000, 2) if p.metrics.avg_response_time > 0 else None,
"success_rate": round((p.metrics.success_count / max(1, p.metrics.total_requests)) * 100, 2),
"total_requests": p.metrics.total_requests,
"failure_count": p.metrics.failure_count,
"consecutive_failures": p.metrics.consecutive_failures,
"rate_limit_hits": p.metrics.rate_limit_hits,
"last_success": datetime.fromtimestamp(p.metrics.last_success).isoformat() if p.metrics.last_success > 0 else None,
"last_failure": datetime.fromtimestamp(p.metrics.last_failure).isoformat() if p.metrics.last_failure > 0 else None,
"cooldown_until": datetime.fromtimestamp(p.cooldown_until).isoformat() if p.cooldown_until > time.time() else None
}
detailed_stats.append(stat)
# Sort by priority (highest first)
detailed_stats.sort(key=lambda x: x["priority"], reverse=True)
return detailed_stats
# Global Orchestrator Instance
provider_manager = ProviderManager()
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