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Remove acceptance rate tracking from mining services

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This commit removes the `avg_acceptance_rate` and `acceptance_rate` fields from both the `MiningDashboardService` and `WorkerService` classes. The changes simplify the data structures and calculations related to worker data, as acceptance rates are no longer tracked or displayed in the mining dashboard. This includes the removal of default values and random generation of acceptance rates for workers.
This commit is contained in:
DJObleezy 2025-04-20 06:20:38 -07:00
parent 9a9f9ae178
commit 3bb74c37e7
2 changed files with 1 additions and 19 deletions
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5
data_service.py
View File

@ -639,7 +639,6 @@ class MiningDashboardService:
# Find total worker counts
workers_online = 0
workers_offline = 0
avg_acceptance_rate = 95.0 # Default value
# Iterate through worker rows in the table
for row in workers_table.find_all('tr', class_='table-row'):
@ -675,7 +674,6 @@ class MiningDashboardService:
"efficiency": 90.0, # Default efficiency
"last_share": "N/A",
"earnings": 0,
"acceptance_rate": 95.0, # Default acceptance rate
"power_consumption": 0,
"temperature": 0
}
@ -815,7 +813,6 @@ class MiningDashboardService:
'workers_online': workers_online,
'workers_offline': workers_offline,
'total_earnings': total_earnings,
'avg_acceptance_rate': avg_acceptance_rate,
'daily_sats': daily_sats,
'timestamp': datetime.now(ZoneInfo(get_timezone())).isoformat()
}
@ -876,7 +873,6 @@ class MiningDashboardService:
"efficiency": 90.0,
"last_share": "N/A",
"earnings": 0,
"acceptance_rate": 95.0,
"power_consumption": 0,
"temperature": 0
}
@ -963,7 +959,6 @@ class MiningDashboardService:
'workers_online': workers_online,
'workers_offline': workers_offline,
'total_earnings': total_earnings,
'avg_acceptance_rate': 99.0,
'timestamp': datetime.now(ZoneInfo(get_timezone())).isoformat()
}
logging.info(f"Successfully retrieved {len(workers)} workers across multiple pages")

13
worker_service.py
View File

@ -48,7 +48,6 @@ class WorkerService:
"hashrate_unit": "TH/s",
"total_earnings": 0.0,
"daily_sats": 0,
"avg_acceptance_rate": 0.0,
"hashrate_history": [],
"timestamp": datetime.now(ZoneInfo(get_timezone())).isoformat()
}
@ -307,7 +306,6 @@ class WorkerService:
"efficiency": round(random.uniform(80, 95), 1) if is_online else 0,
"last_share": last_share,
"earnings": round(random.uniform(0.0001, 0.001), 8),
"acceptance_rate": round(random.uniform(95, 99), 1),
"power_consumption": round(random.uniform(2000, 3500)) if is_online else 0,
"temperature": round(random.uniform(55, 75)) if is_online else 0
}
@ -437,7 +435,6 @@ class WorkerService:
"hashrate_unit": hashrate_unit,
"total_earnings": total_earnings,
"daily_sats": daily_sats, # Fixed daily_sats value
"avg_acceptance_rate": 98.8, # Default value
"hashrate_history": hashrate_history,
"timestamp": datetime.now(ZoneInfo(get_timezone())).isoformat()
}
@ -511,9 +508,6 @@ class WorkerService:
minutes_ago = random.randint(0, 5)
last_share = (current_time - timedelta(minutes=minutes_ago)).strftime("%Y-%m-%d %H:%M")
# Generate acceptance rate (95-100%)
acceptance_rate = round(random.uniform(95, 100), 1)
# Generate temperature (normal operating range)
temperature = random.randint(55, 70) if model_info["type"] == "ASIC" else random.randint(45, 55)
@ -532,7 +526,6 @@ class WorkerService:
"efficiency": round(random.uniform(65, 95), 1),
"last_share": last_share,
"earnings": 0, # Will be set after all workers are generated
"acceptance_rate": acceptance_rate,
"power_consumption": model_info["power"],
"temperature": temperature
})
@ -571,7 +564,6 @@ class WorkerService:
"efficiency": 0,
"last_share": last_share,
"earnings": 0, # Minimal earnings for offline workers
"acceptance_rate": round(random.uniform(95, 99), 1),
"power_consumption": 0,
"temperature": 0
})
@ -673,9 +665,6 @@ class WorkerService:
minutes_ago = random.randint(0, 3)
last_share = (current_time - timedelta(minutes=minutes_ago)).strftime("%Y-%m-%d %H:%M")
# Generate acceptance rate (95-100%)
acceptance_rate = round(random.uniform(95, 100), 1)
# Generate temperature (normal operating range)
temperature = random.randint(55, 70) if model_info["type"] == "ASIC" else random.randint(45, 55)
@ -701,7 +690,6 @@ class WorkerService:
"efficiency": round(random.uniform(65, 95), 1),
"last_share": last_share,
"earnings": 0, # Will be set after all workers are generated
"acceptance_rate": acceptance_rate,
"power_consumption": model_info["power"],
"temperature": temperature
})
@ -747,7 +735,6 @@ class WorkerService:
"efficiency": 0,
"last_share": last_share,
"earnings": 0, # Minimal earnings for offline workers
"acceptance_rate": round(random.uniform(95, 99), 1),
"power_consumption": 0,
"temperature": 0
})