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优化 query_live_traffic_stats 实现 #59

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Merged
callmefisher merged 1 commit into from
Nov 26, 2025
Merged

优化 query_live_traffic_stats 实现 #59

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107 changes: 97 additions & 10 deletions src/mcp_server/core/live_streaming/live_streaming.py
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Original file line number Diff line number Diff line change
Expand Up @@ -336,16 +336,18 @@ def get_play_urls(self, play_domain: str, bucket: str, stream_name: str) -> Dict
"message": "Playback URLs generated successfully"
}

async def query_live_traffic_stats(self, begin: str, end: str) -> Dict[str, Any]:
async def query_live_traffic_stats(self, begin: str, end: str, include_raw_data: bool = False) -> Dict[str, Any]:
"""
Query live streaming traffic statistics

Args:
begin: Start time in format YYYYMMDDHHMMSS (e.g., 20240101000000)
end: End time in format YYYYMMDDHHMMSS (e.g., 20240129105148)
include_raw_data: If True, includes raw JSON data for download (default: False)

Returns:
Dict containing traffic statistics
Dict containing traffic statistics with total traffic (bytes), average bandwidth (bps),
peak bandwidth (bps), and optionally raw data
"""
if not self.live_endpoint:
self.live_endpoint = "mls.cn-east-1.qiniumiku.com"
Expand Down Expand Up @@ -375,14 +377,99 @@ async def query_live_traffic_stats(self, begin: str, end: str) -> Dict[str, Any]

if status == 200:
logger.info("Successfully queried live traffic stats")
return {
"status": "success",
"begin": begin,
"end": end,
"data": text,
"message": "Traffic statistics retrieved successfully",
"status_code": status
}

try:
# Parse JSON response
data = json.loads(text)

# Calculate total traffic and bandwidth metrics
total_traffic_bytes = 0
bandwidth_values = []
data_points = []

# Data format: [{"time":"2025-11-26T00:00:00+08:00","values":{"flow":0}}, ...]
for item in data:
if isinstance(item, dict) and "values" in item and "flow" in item["values"]:
flow_bytes = item["values"]["flow"]
total_traffic_bytes += flow_bytes

# Convert to bandwidth: flow is accumulated over 5 minutes (300 seconds)
# Bandwidth (bps) = bytes / 300 seconds * 8 bits/byte
bandwidth_bps = (flow_bytes / 300) * 8
bandwidth_values.append(bandwidth_bps)

# Store data point with timestamp
data_points.append({
"time": item.get("time", ""),
"traffic_bytes": flow_bytes,
"bandwidth_bps": bandwidth_bps
})

# Calculate average and peak bandwidth
avg_bandwidth_bps = sum(bandwidth_values) / len(bandwidth_values) if bandwidth_values else 0
peak_bandwidth_bps = max(bandwidth_values) if bandwidth_values else 0

# Convert to human-readable units
def format_bytes(bytes_val):
"""Convert bytes to human-readable format"""
for unit in ['B', 'KB', 'MB', 'GB', 'TB']:
if bytes_val < 1024.0:
return f"{bytes_val:.2f} {unit}"
bytes_val /= 1024.0
return f"{bytes_val:.2f} PB"

def format_bandwidth(bps):
"""Convert bits per second to human-readable format"""
for unit in ['bps', 'Kbps', 'Mbps', 'Gbps', 'Tbps']:
if bps < 1000.0:
return f"{bps:.2f} {unit}"
bps /= 1000.0
return f"{bps:.2f} Pbps"

result = {
"status": "success",
"begin": begin,
"end": end,
"summary": {
"total_traffic_bytes": total_traffic_bytes,
"total_traffic_formatted": format_bytes(total_traffic_bytes),
"data_points_count": len(data_points),
"average_bandwidth_bps": avg_bandwidth_bps,
"average_bandwidth_formatted": format_bandwidth(avg_bandwidth_bps),
"peak_bandwidth_bps": peak_bandwidth_bps,
"peak_bandwidth_formatted": format_bandwidth(peak_bandwidth_bps),
"granularity": "5 minutes"
},
"message": "Traffic statistics calculated successfully",
"status_code": status
}

# Include raw data only if requested
if include_raw_data:
result["raw_data"] = data
result["data_points"] = data_points

return result

except json.JSONDecodeError as e:
logger.error(f"Failed to parse JSON response: {e}")
return {
"status": "error",
"begin": begin,
"end": end,
"message": f"Failed to parse traffic stats response: {str(e)}",
"raw_response": text,
"status_code": status
}
except Exception as e:
logger.error(f"Error processing traffic stats: {e}")
return {
"status": "error",
"begin": begin,
"end": end,
"message": f"Error processing traffic stats: {str(e)}",
"status_code": status
}
else:
logger.error(f"Failed to query traffic stats, status: {status}, response: {text}")
return {
Expand Down
7 changes: 6 additions & 1 deletion src/mcp_server/core/live_streaming/tools.py
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Original file line number Diff line number Diff line change
Expand Up @@ -177,7 +177,7 @@ async def get_play_urls(self, **kwargs) -> list[types.TextContent]:
@tools.tool_meta(
types.Tool(
name="live_streaming_query_live_traffic_stats",
description="Query live streaming traffic statistics for a time range. Returns bandwidth and traffic usage data.",
description="Query live streaming traffic statistics for a time range. Returns total traffic (bytes), average bandwidth (bps), peak bandwidth (bps), and optionally raw data for download.",
inputSchema={
"type": "object",
"properties": {
Expand All @@ -189,6 +189,11 @@ async def get_play_urls(self, **kwargs) -> list[types.TextContent]:
"type": "string",
"description": "End time in format YYYYMMDDHHMMSS (e.g., 20240129105148)",
},
"include_raw_data": {
"type": "boolean",
"description": "If true, includes raw JSON data and detailed data points for download. Default is false.",
"default": False,
},
},
"required": ["begin", "end"],
},
Expand Down
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