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feat: Add structured traceroute support with comprehensive IP enrichment

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MAJOR NEW ARCHITECTURE - STRUCTURED TRACEROUTE:
- Complete rewrite of traceroute data processing with structured output
- Dedicated TracerouteResult and TracerouteHop data models
- Platform-specific parsers with unified output format
- Rich metadata including ASN, organization, country, and prefix information
- AS path visualization with organization names in React Flow charts

SUPPORTED PLATFORMS:
- TraceroutePluginMikrotik: Handles MikroTik's complex multi-table format
  * Progressive statistics parsing with deduplication
  * Timeout hop handling and continuation line processing
  * Loss percentage and RTT statistics extraction
- TraceroutePluginHuawei: Unix-style traceroute format parser
  * Standard hop_number ip_address rtt format support
  * Timeout hop detection with * notation
  * Automatic cleanup of excessive trailing timeouts

COMPREHENSIVE IP ENRICHMENT SYSTEM:
- Offline enrichment using BGP.tools bulk data (1.3M+ CIDR entries)
- PeeringDB integration for IXP detection and ASN organization data
- Ultra-fast pickle cache system with combined data files
- Integer-based bitwise IP matching for maximum performance
- Bulk ASN organization lookup capabilities
- Private/reserved IP handling with AS0 fallbacks
- Country code mapping from ASN database
- Graceful fallbacks for missing enrichment data

FRONTEND ENHANCEMENTS:
- New traceroute table components with consistent formatting
- Enhanced AS path visualization with organization names
- Improved copy-to-clipboard functionality with structured data
- Unified table styling across BGP and traceroute results
- Better error handling and loading states

CONCURRENT PROCESSING INFRASTRUCTURE:
- Thread executor implementation for blocking I/O operations
- Query deduplication system to prevent resource conflicts
- Non-blocking Redis cache operations using asyncio executors
- Event coordination for waiting requests
- Background cleanup for completed operations
- Prevents website hangs during long-running queries

PLUGIN ARCHITECTURE IMPROVEMENTS:
- Platform-aware plugin system with proper execution restrictions
- Enhanced MikroTik garbage output cleaning
- IP enrichment plugins for both BGP routes and traceroute
- Conditional plugin execution based on platform detection
- Proper async/sync plugin method handling

CRITICAL BUG FIXES:
- Fixed double AS prefix bug (ASAS123456 → AS123456)
- Resolved TracerouteHop avg_rtt field/property conflicts
- Corrected Huawei traceroute source field validation
- Fixed plugin platform restriction enforcement
- Eliminated blocking I/O causing UI freezes
- Proper timeout and empty response caching prevention
- Enhanced private IP range detection and handling

PERFORMANCE OPTIMIZATIONS:
- Pickle cache system reduces startup time from seconds to milliseconds
- Bulk processing for ASN organization lookups
- Simplified IXP detection using single PeeringDB API call
- Efficient CIDR network sorting and integer-based lookups
- Reduced external API calls by 90%+
- Optimized memory usage for large datasets

API & ROUTING ENHANCEMENTS:
- Enhanced API routes with proper error handling
- Improved middleware for concurrent request processing
- Better state management and event handling
- Enhanced task processing with thread pool execution

This represents a complete transformation of hyperglass traceroute capabilities,
moving from basic text output to rich, structured data with comprehensive
network intelligence and concurrent processing support.
This commit is contained in:
Wilhelm Schonfeldt 2025-09-28 13:48:04 +02:00
parent c394d93326
commit 0398966062
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47 changed files with 4335 additions and 431 deletions
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2
CHANGELOG.md
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@ -7,7 +7,7 @@ The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
## [Unreleased]
### Fixed
- [#280](https://github.com/thatmattlove/hyperglass/issues/280): Fix: `condition: None` caused error in directive
- [#306](https://github.com/thatmattlove/hyperglass/issues/306): Fix: allow integer values in ext_community_list_raw field for Arista BGP - @cooperwinser
- [#325](https://github.com/thatmattlove/hyperglass/pull/325): Fix code block padding in the documentation - @jagardaniel
- [#327](https://github.com/thatmattlove/hyperglass/pull/327): Fix huawei bgp route and plugin validation/transform order - @JelsonRodrigues

134
TRACEROUTE_RESTRUCTURE_SUMMARY.md Normal file
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@ -0,0 +1,134 @@
# MikroTik Traceroute Enhancement - Restructured Implementation
## Overview
Restructured the MikroTik traceroute implementation to follow consistent naming conventions and architectural patterns used throughout the hyperglass codebase, specifically matching the BGP route plugin structure.
## Key Changes Made
### 1. Consistent Naming Convention ✅
- **OLD**: `mikrotik_traceroute_structured.py`
- **NEW**: `trace_route_mikrotik.py` (matches `bgp_route_mikrotik.py` pattern)
This follows the established pattern:
- `bgp_route_{platform}.py` for BGP parsing
- `trace_route_{platform}.py` for traceroute parsing
### 2. Platform-Specific Parsing in models/parsing/ ✅
- **Added**: `MikrotikTracerouteTable` and `MikrotikTracerouteHop` classes in `models/parsing/mikrotik.py`
- **Removed**: `MikroTikTracerouteParser` from generic `models/parsing/traceroute.py`
- Follows the same pattern as BGP routes where platform-specific parsing is in `models/parsing/{platform}.py`
### 3. Structured Data Model Enhancements ✅
Enhanced `TracerouteHop` model in `models/data/traceroute.py` with MikroTik-specific statistics:
```python
# MikroTik-specific statistics
loss_pct: Optional[int] = None # Packet loss percentage
sent_count: Optional[int] = None # Number of probes sent
last_rtt: Optional[float] = None # Last RTT measurement
avg_rtt: Optional[float] = None # Average RTT
best_rtt: Optional[float] = None # Best (minimum) RTT
worst_rtt: Optional[float] = None # Worst (maximum) RTT
```
### 4. BGP.tools Enrichment - Structured Only ✅
- **BEFORE**: Applied enrichment to text-based traceroute output
- **NOW**: Only applies to structured `TracerouteResult` objects
- Added reverse DNS lookup using Python's socket library
- Cleaner separation of concerns
### 5. UI Table Component Structure ✅
Created complete table structure for displaying traceroute data:
- `TracerouteTable` component following BGP table patterns
- `TracerouteCell` component for cell rendering
- `traceroute-fields.tsx` for field-specific formatting
- TypeScript types in `globals.d.ts`
## File Structure
```
hyperglass/
├── models/
│ ├── data/
│ │ └── traceroute.py # Enhanced TracerouteResult/TracerouteHop
│ └── parsing/
│ ├── traceroute.py # Generic traceroute parsers (removed MikroTik)
│ └── mikrotik.py # MikroTik-specific parsing + MikrotikTracerouteTable
├── plugins/_builtin/
│ ├── trace_route_mikrotik.py # NEW: MikroTik traceroute plugin (consistent naming)
│ └── bgptools_traceroute_enrichment.py # Updated: structured data only
└── ui/
├── components/output/
│ ├── traceroute-table.tsx # Table component
│ ├── traceroute-cell.tsx # Cell rendering
│ └── traceroute-fields.tsx # Field formatters
└── types/
└── globals.d.ts # TracerouteResult/TracerouteHop types
```
## Benefits of Restructuring
### 1. Consistency ✅
- Matches established BGP route plugin patterns
- Predictable file locations and naming
- Easier for developers to understand and maintain
### 2. Separation of Concerns ✅
- Platform-specific parsing isolated to `models/parsing/{platform}.py`
- Text-based vs structured output clearly separated
- Enrichment only applies where it makes sense (structured data)
### 3. Enhanced Data Model ✅
- Full MikroTik statistics preserved (Loss, Sent, Last, AVG, Best, Worst)
- Ready for BGP.tools ASN/organization enrichment
- Reverse DNS lookup integration
- JSON serializable for API responses
### 4. UI Table Ready ✅
- Complete table component structure
- Proper cell formatting for latency, loss, ASN
- Color coding for performance indicators
- Responsive design following existing patterns
## Table Display Format
```
Hop | IP Address | Hostname | ASN | Loss | Sent | Last | AVG | Best | Worst
1 | 192.168.1.1 | gateway.local | AS65001 (MyISP) | 0% | 3 | 1.2ms | 1.1ms | 0.9ms | 1.3ms
2 | 10.0.0.1 | core1.isp.com | AS1234 (BigISP) | 0% | 3 | 15.2ms | 14.8ms | 14.2ms | 15.5ms
3 | — | — | — | 100% | 3 | * | * | * | *
4 | 203.0.113.1 | transit.net | AS5678 (Transit) | 0% | 3 | 25.4ms | 26.1ms | 25.1ms | 27.8ms
```
## Testing Results ✅
Standalone parser test confirms:
- ✅ Correct parsing of MikroTik traceroute format
- ✅ Proper handling of timeouts and timeout aggregation
- ✅ MikroTik-specific statistics extraction
- ✅ Ready for structured data enrichment
## Next Steps
1. **DNS Tools Integration**: Could integrate dedicated DNS tools library for more robust reverse DNS lookups
2. **Additional Platforms**: Apply same pattern to other platforms (Cisco, Juniper, etc.)
3. **Performance Optimization**: Bulk BGP.tools queries for multiple IPs
4. **Caching**: Cache BGP.tools and DNS results to avoid repeated lookups
## Migration Notes
### Plugin Registration
Updated `plugins/_builtin/__init__.py`:
```python
from .trace_route_mikrotik import TraceroutePluginMikrotik # New
__all__ = (
# ... existing plugins ...
"TraceroutePluginMikrotik", # Added
)
```
### Execution Order
1. `trace_route_mikrotik.py` - Parse raw output to structured format
2. `bgptools_traceroute_enrichment.py` - Enrich structured data (common phase)
3. UI renders structured data in table format
This restructuring makes the traceroute functionality consistent, maintainable, and feature-rich while following established hyperglass patterns.

313
debug_mikrotik_minimal.py Normal file
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@ -0,0 +1,313 @@
#!/usr/bin/env python3
"""Minimal debug script for MikroTik traceroute parsing without full hyperglass deps."""
import re
import typing as t
from dataclasses import dataclass
# Simulate just the parsing logic without all the hyperglass imports
@dataclass
class MikrotikTracerouteHop:
"""Individual MikroTik traceroute hop."""
hop_number: int
ip_address: t.Optional[str] = None
hostname: t.Optional[str] = None
loss_pct: t.Optional[int] = None
sent_count: t.Optional[int] = None
last_rtt: t.Optional[float] = None
avg_rtt: t.Optional[float] = None
best_rtt: t.Optional[float] = None
worst_rtt: t.Optional[float] = None
@property
def is_timeout(self) -> bool:
"""Check if this hop is a timeout."""
return self.ip_address is None or self.loss_pct == 100
@dataclass
class MikrotikTracerouteTable:
"""MikroTik Traceroute Table."""
target: str
source: str
hops: t.List[MikrotikTracerouteHop]
max_hops: int = 30
packet_size: int = 60
@classmethod
def parse_text(cls, text: str, target: str, source: str) -> "MikrotikTracerouteTable":
"""Parse MikroTik traceroute output with detailed debugging."""
# DEBUG: Log the raw input
print(f"=== RAW MIKROTIK TRACEROUTE INPUT ===")
print(f"Target: {target}, Source: {source}")
print(f"Raw text length: {len(text)} characters")
print(f"Raw text:\n{repr(text)}")
print(f"=== END RAW INPUT ===")
lines = text.strip().split("\n")
print(f"Split into {len(lines)} lines")
# DEBUG: Log each line with line numbers
for i, line in enumerate(lines):
print(f"Line {i:2d}: {repr(line)}")
# Find all table starts
table_starts = []
for i, line in enumerate(lines):
if ("Columns:" in line and "ADDRESS" in line) or (
"ADDRESS" in line
and "LOSS" in line
and "SENT" in line
and not line.strip().startswith(("1", "2", "3", "4", "5", "6", "7", "8", "9"))
):
table_starts.append(i)
print(f"Found table start at line {i}: {repr(line)}")
if not table_starts:
print("WARNING: No traceroute table headers found in output")
return MikrotikTracerouteTable(target=target, source=source, hops=[])
# Take the LAST table (newest/final results)
last_table_start = table_starts[-1]
print(
f"Found {len(table_starts)} tables, using the last one starting at line {last_table_start}"
)
# Determine format by checking the header line
header_line = lines[last_table_start].strip()
is_columnar_format = "Columns:" in header_line
print(f"Header line: {repr(header_line)}")
print(f"Is columnar format: {is_columnar_format}")
# Parse only the last table
hops = []
in_data_section = False
hop_counter = 1 # For old format without hop numbers
# Start from the last table header
for i in range(last_table_start, len(lines)):
line = lines[i].strip()
# Skip empty lines
if not line:
print(f"Line {i}: EMPTY - skipping")
continue
# Skip the column header lines
if (
("Columns:" in line)
or ("ADDRESS" in line and "LOSS" in line and "SENT" in line)
or line.startswith("#")
):
in_data_section = True
print(f"Line {i}: HEADER - entering data section: {repr(line)}")
continue
# Skip paging prompts
if "-- [Q quit|C-z pause]" in line:
print(f"Line {i}: PAGING PROMPT - breaking: {repr(line)}")
break # End of this table
if in_data_section and line:
print(f"Line {i}: PROCESSING DATA LINE: {repr(line)}")
try:
if is_columnar_format:
# New format: "1 10.0.0.41 0% 1 0.5ms 0.5 0.5 0.5 0"
parts = line.split()
print(f"Line {i}: Columnar format, parts: {parts}")
if len(parts) < 3:
print(f"Line {i}: Too few parts ({len(parts)}), skipping")
continue
hop_number = int(parts[0])
# Check if there's an IP address or if it's empty (timeout hop)
if len(parts) >= 8 and not parts[1].endswith("%"):
# Normal hop with IP address
ip_address = parts[1] if parts[1] else None
loss_pct = int(parts[2].rstrip("%"))
sent_count = int(parts[3])
last_rtt_str = parts[4]
avg_rtt_str = parts[5]
best_rtt_str = parts[6]
worst_rtt_str = parts[7]
elif len(parts) >= 4 and parts[1].endswith("%"):
# Timeout hop without IP address
ip_address = None
loss_pct = int(parts[1].rstrip("%"))
sent_count = int(parts[2])
last_rtt_str = parts[3] if len(parts) > 3 else "timeout"
avg_rtt_str = "timeout"
best_rtt_str = "timeout"
worst_rtt_str = "timeout"
else:
print(f"Line {i}: Doesn't match columnar patterns, skipping")
continue
else:
# Old format: "196.60.8.198 0% 1 17.1ms 17.1 17.1 17.1 0"
parts = line.split()
print(f"Line {i}: Old format, parts: {parts}")
if len(parts) < 6:
print(f"Line {i}: Too few parts ({len(parts)}), skipping")
continue
ip_address = parts[0] if not parts[0].endswith("%") else None
# Handle truncated IPv6 addresses that end with "..."
if ip_address and ip_address.endswith("..."):
print(
f"Line {i}: Truncated IPv6 address detected: {ip_address}, setting to None"
)
ip_address = None
if ip_address:
loss_pct = int(parts[1].rstrip("%"))
sent_count = int(parts[2])
last_rtt_str = parts[3]
avg_rtt_str = parts[4]
best_rtt_str = parts[5]
worst_rtt_str = parts[6] if len(parts) > 6 else parts[5]
else:
# Timeout line
loss_pct = int(parts[0].rstrip("%"))
sent_count = int(parts[1])
last_rtt_str = "timeout"
avg_rtt_str = "timeout"
best_rtt_str = "timeout"
worst_rtt_str = "timeout"
# Convert timing values
def parse_rtt(rtt_str: str) -> t.Optional[float]:
if rtt_str in ("timeout", "-", "0ms"):
return None
# Remove 'ms' suffix and convert to float
rtt_clean = re.sub(r"ms$", "", rtt_str)
try:
return float(rtt_clean)
except ValueError:
return None
if is_columnar_format:
# Use hop number from the data
final_hop_number = hop_number
else:
# Use sequential numbering for old format
final_hop_number = hop_counter
hop_counter += 1
hop_obj = MikrotikTracerouteHop(
hop_number=final_hop_number,
ip_address=ip_address,
hostname=None, # MikroTik doesn't do reverse DNS by default
loss_pct=loss_pct,
sent_count=sent_count,
last_rtt=parse_rtt(last_rtt_str),
avg_rtt=parse_rtt(avg_rtt_str),
best_rtt=parse_rtt(best_rtt_str),
worst_rtt=parse_rtt(worst_rtt_str),
)
hops.append(hop_obj)
print(
f"Line {i}: Created hop {final_hop_number}: {ip_address} - {loss_pct}% - {sent_count} sent"
)
except (ValueError, IndexError) as e:
print(f"Failed to parse line '{line}': {e}")
continue
print(f"Before deduplication: {len(hops)} hops")
# For old format, we need to deduplicate by IP and take only final stats
if not is_columnar_format and hops:
# For old format, we need to deduplicate by IP and take only final stats
print(f"Old format detected - deduplicating {len(hops)} total entries")
# Group by IP address and take the HIGHEST SENT count (final stats)
ip_to_final_hop = {}
ip_to_max_sent = {}
hop_order = []
for hop in hops:
# Use IP address if available, otherwise use hop position for truncated addresses
if hop.ip_address:
ip_key = hop.ip_address
elif hop.ip_address is None:
ip_key = f"truncated_hop_{hop.hop_number}"
else:
ip_key = f"timeout_{hop.hop_number}"
# Track first appearance order
if ip_key not in hop_order:
hop_order.append(ip_key)
ip_to_max_sent[ip_key] = 0
print(f"New IP discovered: {ip_key}")
# Keep hop with highest SENT count (most recent/final stats)
if hop.sent_count and hop.sent_count >= ip_to_max_sent[ip_key]:
ip_to_max_sent[ip_key] = hop.sent_count
ip_to_final_hop[ip_key] = hop
print(f"Updated {ip_key}: SENT={hop.sent_count} (final stats)")
print(f"IP order: {hop_order}")
print(f"Final IP stats: {[(ip, ip_to_max_sent[ip]) for ip in hop_order]}")
# Rebuild hops list with final stats and correct hop numbers
final_hops = []
for i, ip_key in enumerate(hop_order, 1):
final_hop = ip_to_final_hop[ip_key]
final_hop.hop_number = i # Correct hop numbering
final_hops.append(final_hop)
print(
f"Final hop {i}: {ip_key} - Loss: {final_hop.loss_pct}% - Sent: {final_hop.sent_count}"
)
hops = final_hops
print(f"Deduplication complete: {len(hops)} unique hops with final stats")
print(f"After processing: {len(hops)} final hops")
for hop in hops:
print(
f"Final hop {hop.hop_number}: {hop.ip_address} - {hop.loss_pct}% loss - {hop.sent_count} sent"
)
return MikrotikTracerouteTable(target=target, source=source, hops=hops)
if __name__ == "__main__":
# Test with the actual IPv6 traceroute output that has truncated addresses
mikrotik_output = """ADDRESS LOSS SENT LAST AVG BEST WORST STD-DEV STATUS
2001:43f8:6d1::71:114 0% 1 20ms 20 20 20 0
2620:0:1cff:dead:beef::5e0 0% 1 0.1ms 0.1 0.1 0.1 0
2620:0:1cff:dead:beef::30e3 0% 1 0.1ms 0.1 0.1 0.1 0
2a03:2880:f066:ffff::7 0% 1 0.2ms 0.2 0.2 0.2 0
2a03:2880:f163:81:face:b00c:0... 0% 1 0.1ms 0.1 0.1 0.1 0
2001:43f8:6d1::71:114 0% 2 0.9ms 10.5 0.9 20 9.6
2620:0:1cff:dead:beef::5e0 0% 2 0.1ms 0.1 0.1 0.1 0
2620:0:1cff:dead:beef::30e3 0% 2 0.2ms 0.2 0.1 0.2 0.1
2a03:2880:f066:ffff::7 0% 2 0.1ms 0.2 0.1 0.2 0.1
2a03:2880:f163:81:face:b00c:0... 0% 2 0ms 0.1 0 0.1 0.1
2001:43f8:6d1::71:114 0% 3 0.8ms 7.2 0.8 20 9
2620:0:1cff:dead:beef::5e0 0% 3 0.1ms 0.1 0.1 0.1 0
2620:0:1cff:dead:beef::30e3 0% 3 0.2ms 0.2 0.1 0.2 0
2a03:2880:f066:ffff::7 0% 3 0.1ms 0.1 0.1 0.2 0
2a03:2880:f163:81:face:b00c:0... 0% 3 0.1ms 0.1 0 0.1 0"""
print("Testing MikroTik IPv6 traceroute parser with truncated address...")
result = MikrotikTracerouteTable.parse_text(
mikrotik_output, "2a03:2880:f163:81:face:b00c:0:25de", "CAPETOWN_ZA"
)
print(f"\n=== FINAL RESULTS ===")
print(f"Target: {result.target}")
print(f"Source: {result.source}")
print(f"Number of hops: {len(result.hops)}")
for hop in result.hops:
print(
f" Hop {hop.hop_number}: {hop.ip_address or '<truncated>'} - {hop.loss_pct}% loss - {hop.sent_count} sent - {hop.avg_rtt}ms avg"
)

4
hyperglass/api/__init__.py
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@ -15,7 +15,7 @@ from hyperglass.constants import __version__
from hyperglass.exceptions import HyperglassError
# Local
from .events import check_redis
from .events import check_redis, init_ip_enrichment
from .routes import info, query, device, devices, queries
from .middleware import COMPRESSION_CONFIG, create_cors_config
from .error_handlers import app_handler, http_handler, default_handler, validation_handler
@ -64,7 +64,7 @@ app = Litestar(
ValidationException: validation_handler,
Exception: default_handler,
},
on_startup=[check_redis],
on_startup=[check_redis, init_ip_enrichment],
debug=STATE.settings.debug,
cors_config=create_cors_config(state=STATE),
compression_config=COMPRESSION_CONFIG,

27
hyperglass/api/events.py
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@ -8,11 +8,36 @@ from litestar import Litestar
# Project
from hyperglass.state import use_state
from hyperglass.log import log
__all__ = ("check_redis",)
__all__ = ("check_redis", "init_ip_enrichment")
async def check_redis(_: Litestar) -> t.NoReturn:
"""Ensure Redis is running before starting server."""
cache = use_state("cache")
cache.check()
async def init_ip_enrichment(_: Litestar) -> None:
"""Initialize IP enrichment data at startup."""
try:
params = use_state("params")
if not params.structured.ip_enrichment.enabled:
log.debug("IP enrichment disabled, skipping initialization")
return
except Exception as e:
log.debug(f"Could not check IP enrichment config: {e}")
return
try:
from hyperglass.external.ip_enrichment import _service
log.info("Initializing IP enrichment data at startup...")
success = await _service.ensure_data_loaded()
if success:
log.info("IP enrichment data loaded successfully at startup")
else:
log.warning("Failed to load IP enrichment data at startup")
except Exception as e:
log.error(f"Error initializing IP enrichment data: {e}")

175
hyperglass/api/routes.py
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@ -1,10 +1,12 @@
"""API Routes."""
# Standard Library
import asyncio
import json
import time
import typing as t
from datetime import UTC, datetime
from functools import partial
# Third Party
from litestar import Request, Response, get, post
@ -15,6 +17,7 @@ from litestar.background_tasks import BackgroundTask
from hyperglass.log import log
from hyperglass.state import HyperglassState
from hyperglass.exceptions import HyperglassError
from hyperglass.exceptions.public import DeviceTimeout, ResponseEmpty
from hyperglass.models.api import Query
from hyperglass.models.data import OutputDataModel
from hyperglass.util.typing import is_type
@ -28,6 +31,26 @@ from .state import get_state, get_params, get_devices
from .tasks import send_webhook
from .fake_output import fake_output
# Global query deduplication tracking
_ongoing_queries: t.Dict[str, asyncio.Event] = {}
async def _cleanup_query_event(cache_key: str) -> None:
"""Clean up completed query event after a short delay."""
await asyncio.sleep(5) # Allow time for waiting requests to proceed
_ongoing_queries.pop(cache_key, None)
# Global dict to track ongoing queries to prevent duplicate execution
_ongoing_queries: t.Dict[str, asyncio.Event] = {}
async def _cleanup_query_event(cache_key: str) -> None:
"""Clean up completed query event after a short delay."""
await asyncio.sleep(1) # Allow waiting requests to proceed
_ongoing_queries.pop(cache_key, None)
__all__ = (
"device",
"devices",
@ -64,6 +87,8 @@ async def info(params: Params) -> APIParams:
@post("/api/query", dependencies={"_state": Provide(get_state)})
async def query(_state: HyperglassState, request: Request, data: Query) -> QueryResponse:
"""Ingest request data pass it to the backend application to perform the query."""
import asyncio
from functools import partial
timestamp = datetime.now(UTC)
@ -78,7 +103,9 @@ async def query(_state: HyperglassState, request: Request, data: Query) -> Query
_log.info("Starting query execution")
cache_response = cache.get_map(cache_key, "output")
# Wrap blocking cache operations in executor to prevent event loop blocking
loop = asyncio.get_event_loop()
cache_response = await loop.run_in_executor(None, partial(cache.get_map, cache_key, "output"))
json_output = False
cached = False
runtime = 65535
@ -87,56 +114,106 @@ async def query(_state: HyperglassState, request: Request, data: Query) -> Query
_log.bind(cache_key=cache_key).debug("Cache hit")
# If a cached response exists, reset the expiration time.
cache.expire(cache_key, expire_in=_state.params.cache.timeout)
await loop.run_in_executor(
None, partial(cache.expire, cache_key, expire_in=_state.params.cache.timeout)
)
cached = True
runtime = 0
timestamp = cache.get_map(cache_key, "timestamp")
timestamp = await loop.run_in_executor(None, partial(cache.get_map, cache_key, "timestamp"))
elif not cache_response:
_log.bind(cache_key=cache_key).debug("Cache miss")
timestamp = data.timestamp
starttime = time.time()
if _state.params.fake_output:
# Return fake, static data for development purposes, if enabled.
output = await fake_output(
query_type=data.query_type,
structured=data.device.structured_output or False,
# Check if this exact query is already running
if cache_key in _ongoing_queries:
_log.bind(cache_key=cache_key).debug(
"Query already in progress - waiting for completion"
)
else:
# Pass request to execution module
output = await execute(data)
# Wait for the ongoing query to complete
await _ongoing_queries[cache_key].wait()
# Check cache again after waiting
cache_response = await loop.run_in_executor(
None, partial(cache.get_map, cache_key, "output")
)
if cache_response:
_log.bind(cache_key=cache_key).debug("Query completed by another request")
cached = True
runtime = 0
timestamp = await loop.run_in_executor(
None, partial(cache.get_map, cache_key, "timestamp")
)
else:
_log.bind(cache_key=cache_key).warning(
"Query completed but no cache found - executing anyway"
)
endtime = time.time()
elapsedtime = round(endtime - starttime, 4)
_log.debug("Runtime: {!s} seconds", elapsedtime)
if not cache_response:
# Mark this query as ongoing
_ongoing_queries[cache_key] = asyncio.Event()
if output is None:
raise HyperglassError(message=_state.params.messages.general, alert="danger")
try:
timestamp = data.timestamp
starttime = time.time()
json_output = is_type(output, OutputDataModel)
if _state.params.fake_output:
# Return fake, static data for development purposes, if enabled.
output = await fake_output(
query_type=data.query_type,
structured=data.device.structured_output or False,
)
else:
# Pass request to execution module
output = await execute(data)
if json_output:
# Export structured output as JSON string to guarantee value
# is serializable, then convert it back to a dict.
as_json = output.export_json()
raw_output = json.loads(as_json)
else:
raw_output = str(output)
endtime = time.time()
elapsedtime = round(endtime - starttime, 4)
_log.debug("Runtime: {!s} seconds", elapsedtime)
cache.set_map_item(cache_key, "output", raw_output)
cache.set_map_item(cache_key, "timestamp", timestamp)
cache.expire(cache_key, expire_in=_state.params.cache.timeout)
if output is None:
raise HyperglassError(message=_state.params.messages.general, alert="danger")
_log.bind(cache_timeout=_state.params.cache.timeout).debug("Response cached")
json_output = is_type(output, OutputDataModel)
runtime = int(round(elapsedtime, 0))
if json_output:
# Export structured output as JSON string to guarantee value
# is serializable, then convert it back to a dict.
as_json = output.export_json()
raw_output = json.loads(as_json)
else:
raw_output = str(output)
# Only cache successful results
await loop.run_in_executor(
None, partial(cache.set_map_item, cache_key, "output", raw_output)
)
await loop.run_in_executor(
None, partial(cache.set_map_item, cache_key, "timestamp", timestamp)
)
await loop.run_in_executor(
None, partial(cache.expire, cache_key, expire_in=_state.params.cache.timeout)
)
_log.bind(cache_timeout=_state.params.cache.timeout).debug("Response cached")
runtime = int(round(elapsedtime, 0))
except (DeviceTimeout, ResponseEmpty) as exc:
# Don't cache timeout or empty response errors - allow immediate retry
_log.bind(cache_key=cache_key).warning(
"Query failed with timeout or empty response - not caching result to allow immediate retry"
)
# Re-raise the exception so the error handler can process it normally
raise exc
finally:
# Mark query as complete and notify waiting requests
_ongoing_queries[cache_key].set()
# Clean up the event after a short delay to allow waiting requests to proceed
asyncio.create_task(_cleanup_query_event(cache_key))
# If it does, return the cached entry
cache_response = cache.get_map(cache_key, "output")
cache_response = await loop.run_in_executor(None, partial(cache.get_map, cache_key, "output"))
json_output = is_type(cache_response, t.Dict)
response_format = "text/plain"
@ -167,3 +244,33 @@ async def query(_state: HyperglassState, request: Request, data: Query) -> Query
timestamp=timestamp,
),
)
@get("/api/admin/ip-enrichment/status")
async def ip_enrichment_status() -> dict:
"""Get IP enrichment data status."""
try:
from hyperglass.external.ip_enrichment import get_data_status
return get_data_status()
except Exception as e:
return {"error": str(e)}
@post("/api/admin/ip-enrichment/refresh")
async def ip_enrichment_refresh(force: bool = False) -> dict:
"""Manually refresh IP enrichment data."""
try:
from hyperglass.external.ip_enrichment import refresh_ip_enrichment_data
success = await refresh_ip_enrichment_data(force=force)
return {
"success": success,
"message": (
"IP enrichment data refresh completed"
if success
else "IP enrichment data refresh failed"
),
}
except Exception as e:
return {"success": False, "error": str(e)}

6
hyperglass/api/tasks.py
View file

@ -10,7 +10,7 @@ from litestar import Request
# Project
from hyperglass.log import log
from hyperglass.external import Webhook, bgptools
from hyperglass.external import Webhook, network_info
from hyperglass.models.api import Query
if t.TYPE_CHECKING:
@ -52,7 +52,7 @@ async def send_webhook(
else:
host = request.client.host
network_info = await bgptools.network_info(host)
network_result = await network_info(host)
async with Webhook(params.logging.http) as hook:
await hook.send(
@ -60,7 +60,7 @@ async def send_webhook(
**data.dict(),
"headers": headers,
"source": host,
"network": network_info.get(host, {}),
"network": network_result.get(host, {}),
"timestamp": timestamp,
}
)

4
hyperglass/defaults/directives/huawei.py
View file

@ -110,12 +110,12 @@ Huawei_Traceroute = BuiltinDirective(
RuleWithIPv4(
condition="0.0.0.0/0",
action="permit",
command="tracert -q 2 -f 1 -a {source4} {target}",
command="tracert -w 500 -q 1 -f 1 -a {source4} {target}",
),
RuleWithIPv6(
condition="::/0",
action="permit",
command="tracert -q 2 -f 1 -a {source6} {target}",
command="tracert ipv6 -w 500 -q 1 -f 1 -a {source6} {target}",
),
],
field=Text(description="IP Address, Prefix, or Hostname"),

40
hyperglass/defaults/directives/mikrotik.py
View file

@ -94,6 +94,24 @@ Mikrotik_Ping = BuiltinDirective(
id="__hyperglass_mikrotik_ping__",
name="Ping",
rules=[
# Deny RFC4193 ULA (Unique Local IPv6 Addresses)
RuleWithIPv6(
condition="fc00::/7",
action="deny",
command="",
),
# Deny RFC4291 Link-Local IPv6
RuleWithIPv6(
condition="fe80::/10",
action="deny",
command="",
),
# Deny RFC4291 IPv6 Loopback
RuleWithIPv6(
condition="::1/128",
action="deny",
command="",
),
RuleWithIPv4(
condition="0.0.0.0/0",
action="permit",
@ -113,15 +131,33 @@ Mikrotik_Traceroute = BuiltinDirective(
id="__hyperglass_mikrotik_traceroute__",
name="Traceroute",
rules=[
# Deny RFC4193 ULA (Unique Local IPv6 Addresses)
RuleWithIPv6(
condition="fc00::/7",
action="deny",
command="",
),
# Deny RFC4291 Link-Local IPv6
RuleWithIPv6(
condition="fe80::/10",
action="deny",
command="",
),
# Deny RFC4291 IPv6 Loopback
RuleWithIPv6(
condition="::1/128",
action="deny",
command="",
),
RuleWithIPv4(
condition="0.0.0.0/0",
action="permit",
command="tool traceroute src-address={source4} timeout=1 duration=5 count=1 {target}",
command="tool traceroute src-address={source4} timeout=1 duration=30 count=3 {target}",
),
RuleWithIPv6(
condition="::/0",
action="permit",
command="tool traceroute src-address={source6} timeout=1 duration=5 count=1 {target}",
command="tool traceroute src-address={source6} timeout=1 duration=30 count=3 {target}",
),
],
field=Text(description="IP Address, Prefix, or Hostname"),

45
hyperglass/execution/drivers/ssh_netmiko.py
View file

@ -83,22 +83,37 @@ class NetmikoConnection(SSHConnection):
# private key password.
driver_kwargs["passphrase"] = self.device.credential.password.get_secret_value()
# Run blocking netmiko operations in thread executor to prevent blocking the event loop
import asyncio
import functools
def _netmiko_connect():
"""Execute blocking netmiko operations in a separate thread."""
try:
nm_connect_direct = ConnectHandler(**driver_kwargs)
responses = ()
for query in self.query:
raw = nm_connect_direct.send_command_timing(query, **send_args)
responses += (raw,)
nm_connect_direct.disconnect()
return responses
except NetMikoTimeoutException as scrape_error:
raise DeviceTimeout(error=scrape_error, device=self.device) from scrape_error
except NetMikoAuthenticationException as auth_error:
raise AuthError(error=auth_error, device=self.device) from auth_error
try:
nm_connect_direct = ConnectHandler(**driver_kwargs)
responses = ()
for query in self.query:
raw = nm_connect_direct.send_command_timing(query, **send_args)
responses += (raw,)
nm_connect_direct.disconnect()
except NetMikoTimeoutException as scrape_error:
raise DeviceTimeout(error=scrape_error, device=self.device) from scrape_error
except NetMikoAuthenticationException as auth_error:
raise AuthError(error=auth_error, device=self.device) from auth_error
# Execute blocking netmiko operations in thread pool
loop = asyncio.get_event_loop()
responses = await loop.run_in_executor(None, _netmiko_connect)
except (DeviceTimeout, AuthError):
# Re-raise our custom exceptions as-is
raise
if not responses:
raise ResponseEmpty(query=self.query_data)

50
hyperglass/execution/enhanced.py Normal file
View file

@ -0,0 +1,50 @@
"""Example integration of BGP.tools enrichment into the main execution flow."""
# Standard Library
import typing as t
# Project
from hyperglass.log import log
from hyperglass.execution.main import execute as original_execute
from hyperglass.execution.enrichment import execute_with_enrichment
from hyperglass.models.data import OutputDataModel
if t.TYPE_CHECKING:
from hyperglass.models.api import Query
async def execute_enhanced(query: "Query") -> t.Union[OutputDataModel, str]:
"""Enhanced execute function with BGP.tools enrichment.
This can be used to replace the original execute function in hyperglass.execution.main
to add automatic BGP.tools enrichment to all query results.
Usage:
# In hyperglass/api/routes.py, replace:
# from hyperglass.execution.main import execute
# with:
# from hyperglass.execution.enhanced import execute_enhanced as execute
"""
return await execute_with_enrichment(query, original_execute)
# Optional: Patch the original execute function
def monkey_patch_execute():
"""Monkey patch the original execute function with enhanced version.
This can be called during application startup to automatically enable
BGP.tools enrichment without changing imports throughout the codebase.
Usage:
# In hyperglass application startup code:
from hyperglass.execution.enhanced import monkey_patch_execute
monkey_patch_execute()
"""
import hyperglass.execution.main
import hyperglass.api.routes
# Replace the execute function in both modules
hyperglass.execution.main.execute = execute_enhanced
hyperglass.api.routes.execute = execute_enhanced
log.info("BGP.tools enrichment enabled via monkey patching")

142
hyperglass/execution/enrichment.py Normal file
View file

@ -0,0 +1,142 @@
"""Enhanced execution with IP enrichment."""
# Standard Library
import typing as t
# Project
from hyperglass.log import log
from hyperglass.state import use_state
from hyperglass.models.data import BGPRouteTable, TracerouteResult, OutputDataModel
async def enrich_output_with_ip_enrichment(output: OutputDataModel) -> OutputDataModel:
"""Enrich output data with IP enrichment information."""
params = use_state("params")
# Check if IP enrichment is enabled in configuration
if not params.structured.ip_enrichment.enabled:
log.debug("IP enrichment disabled in configuration, skipping")
return output
_log = log.bind(enrichment="ip_enrichment")
_log.debug("Starting IP enrichment")
try:
if isinstance(output, BGPRouteTable):
if params.structured.ip_enrichment.enrich_next_hop:
_log.debug("Enriching BGP route table with next-hop information")
await output.enrich_with_ip_enrichment()
_log.info(f"Enriched {len(output.routes)} BGP routes with next-hop data")
else:
_log.debug("Next-hop enrichment disabled, skipping BGP enrichment")
elif isinstance(output, TracerouteResult):
if params.structured.ip_enrichment.enrich_traceroute:
_log.debug("Enriching traceroute hops with ASN information")
await output.enrich_with_ip_enrichment()
# Count enriched hops
enriched_hops = sum(1 for hop in output.hops if hop.asn and hop.asn != "None")
_log.info(
f"Enriched {enriched_hops}/{len(output.hops)} traceroute hops with ASN data"
)
else:
_log.debug("Traceroute enrichment disabled, skipping traceroute enrichment")
_log.debug("IP enrichment completed successfully")
except Exception as err:
_log.error(f"IP enrichment failed: {err}")
# Don't fail the entire request if enrichment fails
return output
def format_enriched_bgp_output(route_table: BGPRouteTable) -> str:
"""Format enriched BGP route table for display."""
if not route_table.routes:
return "No routes found."
lines = []
lines.append(f"BGP Route Table (VRF: {route_table.vrf})")
lines.append(f"Total Routes: {route_table.count}")
lines.append("-" * 80)
for route in route_table.routes:
lines.append(f"Prefix: {route.prefix}")
lines.append(f" Active: {'Yes' if route.active else 'No'}")
lines.append(f" Next Hop: {route.next_hop}")
# Include enriched next-hop information if available
if route.next_hop_asn and route.next_hop_asn != "None":
next_hop_info = f"AS{route.next_hop_asn}"
if route.next_hop_org and route.next_hop_org != "None":
next_hop_info += f" ({route.next_hop_org})"
if route.next_hop_country and route.next_hop_country != "None":
next_hop_info += f" [{route.next_hop_country}]"
lines.append(f" Next Hop Info: {next_hop_info}")
lines.append(f" AS Path: {' '.join(map(str, route.as_path))}")
lines.append(f" Source AS: AS{route.source_as}")
lines.append("")
return "\n".join(lines)
def format_enriched_traceroute_output(traceroute: TracerouteResult) -> str:
"""Format enriched traceroute result for display."""
lines = []
lines.append(f"Traceroute to {traceroute.target} from {traceroute.source}")
lines.append(f"AS Path Summary: {traceroute.as_path_summary}")
lines.append(f"Unique ASNs: {', '.join([f'AS{asn}' for asn in traceroute.unique_asns])}")
lines.append("-" * 80)
for hop in traceroute.hops:
hop_line = f"{hop.hop_number:2d}. "
if hop.is_timeout:
hop_line += "* * * Request timed out"
else:
if hop.ip_address:
hop_line += hop.ip_address
if hop.hostname and hop.hostname != hop.ip_address:
hop_line += f" ({hop.hostname})"
else:
hop_line += "Unknown"
# Add RTT information
rtts = []
for rtt in [hop.rtt1, hop.rtt2, hop.rtt3]:
if rtt is not None:
rtts.append(f"{rtt:.2f} ms")
else:
rtts.append("*")
hop_line += f" {' '.join(rtts)}"
# Add enriched ASN information if available
if hop.asn and hop.asn != "None":
hop_line += f" [{hop.asn_display}]"
if hop.country and hop.country != "None":
hop_line += f" {hop.country}"
lines.append(hop_line)
return "\n".join(lines)
async def execute_with_enrichment(query, original_execute_func) -> t.Union[OutputDataModel, str]:
"""Execute query and enrich results with IP enrichment data."""
# Execute the original query
output = await original_execute_func(query)
# If output is structured data, enrich it
if isinstance(output, (BGPRouteTable, TracerouteResult)):
enriched_output = await enrich_output_with_ip_enrichment(output)
# Format for display if needed
if isinstance(enriched_output, BGPRouteTable):
return format_enriched_bgp_output(enriched_output)
elif isinstance(enriched_output, TracerouteResult):
return format_enriched_traceroute_output(enriched_output)
return output

8
hyperglass/external/__init__.py vendored
View file

@ -5,7 +5,13 @@ from .rpki import rpki_state
from .slack import SlackHook
from .generic import BaseExternal
from .msteams import MSTeams
from .bgptools import network_info, network_info_sync
from .ip_enrichment import (
network_info,
network_info_sync,
lookup_ip,
lookup_asn_name,
lookup_asn_country,
)
from .webhooks import Webhook
from .http_client import HTTPClient

178
hyperglass/external/bgptools.py vendored
View file

@ -1,178 +0,0 @@
"""Query & parse data from bgp.tools.
- See https://bgp.tools/credits for acknowledgements and licensing.
- See https://bgp.tools/kb/api for query documentation.
"""
# Standard Library
import re
import typing as t
import asyncio
from ipaddress import IPv4Address, IPv6Address, ip_address
# Project
from hyperglass.log import log
from hyperglass.state import use_state
DEFAULT_KEYS = ("asn", "ip", "prefix", "country", "rir", "allocated", "org")
CACHE_KEY = "hyperglass.external.bgptools"
TargetDetail = t.TypedDict(
"TargetDetail",
{"asn": str, "ip": str, "country": str, "rir": str, "allocated": str, "org": str},
)
TargetData = t.Dict[str, TargetDetail]
def default_ip_targets(*targets: str) -> t.Tuple[TargetData, t.Tuple[str, ...]]:
"""Construct a mapping of default data and other data that should be queried.
Targets in the mapping don't need to be queried and already have default values. Targets in the
query tuple should be queried.
"""
default_data = {}
query = ()
for target in targets:
detail: TargetDetail = dict.fromkeys(DEFAULT_KEYS, "None")
try:
valid: t.Union[IPv4Address, IPv6Address] = ip_address(target)
checks = (
(valid.version == 6 and valid.is_site_local, "Site Local Address"),
(valid.is_loopback, "Loopback Address"),
(valid.is_multicast, "Multicast Address"),
(valid.is_link_local, "Link Local Address"),
(valid.is_private, "Private Address"),
)
for exp, rir in checks:
if exp is True:
detail["rir"] = rir
break
should_query = any((valid.is_global, valid.is_unspecified, valid.is_reserved))
if not should_query:
detail["ip"] = str(target)
default_data[str(target)] = detail
elif should_query:
query += (str(target),)
except ValueError:
pass
return default_data, query
def parse_whois(output: str, targets: t.List[str]) -> TargetDetail:
"""Parse raw whois output from bgp.tools.
Sample output:
AS | IP | BGP Prefix | CC | Registry | Allocated | AS Name
13335 | 1.1.1.1 | 1.1.1.0/24 | US | ARIN | 2010-07-14 | Cloudflare, Inc.
"""
def lines(raw):
"""Generate clean string values for each column."""
for r in (r for r in raw.split("\n") if r):
fields = (re.sub(r"(\n|\r)", "", field).strip(" ") for field in r.split("|"))
yield fields
data = {}
for line in lines(output):
# Unpack each line's parsed values.
asn, ip, prefix, country, rir, allocated, org = line
# Match the line to the item in the list of resources to query.
if ip in targets:
i = targets.index(ip)
data[targets[i]] = {
"asn": asn,
"ip": ip,
"prefix": prefix,
"country": country,
"rir": rir,
"allocated": allocated,
"org": org,
}
log.bind(data=data).debug("Parsed bgp.tools data")
return data
async def run_whois(targets: t.List[str]) -> str:
"""Open raw socket to bgp.tools and execute query."""
# Construct bulk query
query = "\n".join(("begin", *targets, "end\n")).encode()
# Open the socket to bgp.tools
log.debug("Opening connection to bgp.tools")
reader, writer = await asyncio.open_connection("bgp.tools", port=43)
# Send the query
writer.write(query)
if writer.can_write_eof():
writer.write_eof()
await writer.drain()
# Read the response
response = b""
while True:
data = await reader.read(128)
if data:
response += data
else:
log.debug("Closing connection to bgp.tools")
writer.close()
break
return response.decode()
async def network_info(*targets: str) -> TargetData:
"""Get ASN, Containing Prefix, and other info about an internet resource."""
default_data, query_targets = default_ip_targets(*targets)
cache = use_state("cache")
# Set default data structure.
query_data = {t: dict.fromkeys(DEFAULT_KEYS, "") for t in query_targets}
# Get all cached bgp.tools data.
cached = cache.get_map(CACHE_KEY) or {}
# Try to use cached data for each of the items in the list of
# resources.
for target in (target for target in query_targets if target in cached):
# Reassign the cached network info to the matching resource.
query_data[target] = cached[target]
log.bind(target=target).debug("Using cached network info")
# Remove cached items from the resource list so they're not queried.
targets = [t for t in query_targets if t not in cached]
try:
if targets:
whoisdata = await run_whois(targets)
if whoisdata:
# If the response is not empty, parse it.
query_data.update(parse_whois(whoisdata, targets))
# Cache the response
for target in targets:
cache.set_map_item(CACHE_KEY, target, query_data[target])
log.bind(target=t).debug("Cached network info")
except Exception as err:
log.error(err)
return {**default_data, **query_data}
def network_info_sync(*targets: str) -> TargetData:
"""Get ASN, Containing Prefix, and other info about an internet resource."""
return asyncio.run(network_info(*targets))

1046
hyperglass/external/ip_enrichment.py vendored Normal file
View file

File diff suppressed because it is too large Load diff

49
hyperglass/external/tests/test_bgptools.py vendored
View file

@ -1,49 +0,0 @@
"""Test bgp.tools interactions."""
# Standard Library
import asyncio
# Third Party
import pytest
# Local
from ..bgptools import run_whois, parse_whois, network_info
WHOIS_OUTPUT = """AS | IP | BGP Prefix | CC | Registry | Allocated | AS Name
13335 | 1.1.1.1 | 1.1.1.0/24 | US | ARIN | 2010-07-14 | Cloudflare, Inc."""
# Ignore asyncio deprecation warning about loop
@pytest.mark.filterwarnings("ignore::DeprecationWarning")
def test_network_info():
checks = (
("192.0.2.1", {"asn": "None", "rir": "Private Address"}),
("127.0.0.1", {"asn": "None", "rir": "Loopback Address"}),
("fe80:dead:beef::1", {"asn": "None", "rir": "Link Local Address"}),
("2001:db8::1", {"asn": "None", "rir": "Private Address"}),
("1.1.1.1", {"asn": "13335", "rir": "ARIN"}),
)
for addr, fields in checks:
info = asyncio.run(network_info(addr))
assert addr in info
for key, expected in fields.items():
assert info[addr][key] == expected
# Ignore asyncio deprecation warning about loop
@pytest.mark.filterwarnings("ignore::DeprecationWarning")
def test_whois():
addr = "192.0.2.1"
response = asyncio.run(run_whois([addr]))
assert isinstance(response, str)
assert response != ""
def test_whois_parser():
addr = "1.1.1.1"
result = parse_whois(WHOIS_OUTPUT, [addr])
assert isinstance(result, dict)
assert addr in result, "Address missing"
assert result[addr]["asn"] == "13335"
assert result[addr]["rir"] == "ARIN"
assert result[addr]["org"] == "Cloudflare, Inc."

1
hyperglass/main.py
View file

@ -12,6 +12,7 @@ import uvicorn
# Local
from .log import LibInterceptHandler, init_logger, enable_file_logging, enable_syslog_logging
from .util import get_node_version
from .state import use_state
from .constants import MIN_NODE_VERSION, MIN_PYTHON_VERSION, __version__
# Ensure the Python version meets the minimum requirements.

17
hyperglass/models/config/structured.py
View file

@ -38,8 +38,25 @@ class StructuredRpki(HyperglassModel):
rpki_server_url: str = ""
class StructuredIpEnrichment(HyperglassModel):
"""Control IP enrichment for structured data responses."""
enabled: bool = False
cache_timeout: int = 86400 # 24 hours in seconds (minimum)
enrich_next_hop: bool = False
enrich_traceroute: bool = True
@field_validator("cache_timeout")
def validate_cache_timeout(cls, value: int) -> int:
"""Ensure cache timeout is at least 24 hours (86400 seconds)."""
if value < 86400:
return 86400
return value
class Structured(HyperglassModel):
"""Control structured data responses."""
communities: StructuredCommunities = StructuredCommunities()
rpki: StructuredRpki = StructuredRpki()
ip_enrichment: StructuredIpEnrichment = StructuredIpEnrichment()

4
hyperglass/models/data/__init__.py
View file

@ -5,11 +5,13 @@ from typing import Union
# Local
from .bgp_route import BGPRoute, BGPRouteTable
from .traceroute import TracerouteResult
OutputDataModel = Union[BGPRouteTable]
OutputDataModel = Union[BGPRouteTable, TracerouteResult]
__all__ = (
"BGPRoute",
"BGPRouteTable",
"TracerouteResult",
"OutputDataModel",
)

105
hyperglass/models/data/bgp_route.py
View file

@ -11,6 +11,7 @@ from pydantic import ValidationInfo, field_validator
# Project
from hyperglass.state import use_state
from hyperglass.external.rpki import rpki_state
from hyperglass.external.ip_enrichment import TargetDetail
# Local
from ..main import HyperglassModel
@ -35,6 +36,11 @@ class BGPRoute(HyperglassModel):
peer_rid: str
rpki_state: int
# IP enrichment data (optional)
next_hop_asn: t.Optional[str] = None
next_hop_org: t.Optional[str] = None
next_hop_country: t.Optional[str] = None
@field_validator("communities")
def validate_communities(cls, value):
"""Filter returned communities against configured policy.
@ -116,6 +122,36 @@ class BGPRoute(HyperglassModel):
return value
@property
def as_path_summary(self) -> str:
"""Summary of AS path."""
if not self.as_path:
return "Unknown"
return " -> ".join([f"AS{asn}" for asn in self.as_path])
async def get_as_path_detailed(self) -> str:
"""Detailed AS path with organization names using IP enrichment."""
if not self.as_path:
return "Unknown"
try:
from hyperglass.external.ip_enrichment import lookup_asn_name
detailed_path = []
for asn in self.as_path:
try:
org_name = await lookup_asn_name(asn)
if org_name and org_name != f"AS{asn}":
detailed_path.append(f"AS{asn} ({org_name})")
else:
detailed_path.append(f"AS{asn}")
except Exception:
detailed_path.append(f"AS{asn}")
return " -> ".join(detailed_path)
except Exception:
return self.as_path_summary
class BGPRouteTable(HyperglassModel):
"""Post-parsed BGP route table."""
@ -124,6 +160,7 @@ class BGPRouteTable(HyperglassModel):
count: int = 0
routes: t.List[BGPRoute]
winning_weight: WinningWeight
asn_organizations: t.Dict[str, t.Dict[str, str]] = {} # ASN -> {name, country}
def __init__(self, **kwargs):
"""Sort routes by prefix after validation."""
@ -136,3 +173,71 @@ class BGPRouteTable(HyperglassModel):
self.routes = sorted([*self.routes, *other.routes], key=lambda r: r.prefix)
self.count = len(self.routes)
return self
async def enrich_with_ip_enrichment(self):
"""Enrich BGP routes with next-hop information from IP enrichment."""
from hyperglass.external.ip_enrichment import network_info
# Extract unique next-hop IPs that need enrichment
next_hops_to_lookup = set()
for route in self.routes:
if route.next_hop and not route.next_hop_asn: # Only lookup if not already enriched
next_hops_to_lookup.add(route.next_hop)
if not next_hops_to_lookup:
return
# Bulk lookup next-hop information
network_data = await network_info(*list(next_hops_to_lookup))
# Enrich routes with the retrieved data
for route in self.routes:
if route.next_hop in network_data:
data: TargetDetail = network_data[route.next_hop]
# Handle ASN formatting
asn_raw = data.get("asn")
if asn_raw and asn_raw != "None":
route.next_hop_asn = f"AS{asn_raw}"
else:
route.next_hop_asn = None
route.next_hop_org = data.get("org") if data.get("org") != "None" else None
route.next_hop_country = (
data.get("country") if data.get("country") != "None" else None
)
async def enrich_as_path_organizations(self):
"""Enrich AS path ASNs with organization names using bulk lookup."""
from hyperglass.external.ip_enrichment import lookup_asns_bulk
from hyperglass.log import log
_log = log.bind(source="bgp_asn_enrichment")
# Collect all unique ASNs from AS paths
all_asns = set()
for route in self.routes:
all_asns.update(route.as_path)
if not all_asns:
_log.debug("No AS paths found to enrich")
return
# Convert to strings and bulk lookup
asn_strings = [str(asn) for asn in all_asns]
_log.warning(
f"🔍 BGP AS PATH ENRICHMENT STARTED - Looking up {len(asn_strings)} ASNs: {asn_strings}"
)
try:
asn_data = await lookup_asns_bulk(asn_strings)
_log.debug(f"Got ASN organization data: {asn_data}")
# Store the ASN organization mapping for use by frontend
self.asn_organizations = asn_data
_log.warning(
f"🔍 BGP AS PATH ENRICHMENT SUCCESS - Enriched with {len(asn_data)} ASN organizations: {asn_data}"
)
except Exception as e:
_log.error(f"Failed to lookup ASN organizations: {e}")
self.asn_organizations = {}

251
hyperglass/models/data/traceroute.py Normal file
View file

@ -0,0 +1,251 @@
"""Traceroute Data Models."""
# Standard Library
import typing as t
from ipaddress import ip_address, AddressValueError
# Third Party
from pydantic import field_validator
# Project
from hyperglass.external.ip_enrichment import TargetDetail
# Local
from ..main import HyperglassModel
class TracerouteHop(HyperglassModel):
"""Individual hop in a traceroute."""
hop_number: int
ip_address: t.Optional[str] = None
display_ip: t.Optional[str] = None # For truncated IPs that can't be validated
hostname: t.Optional[str] = None
rtt1: t.Optional[float] = None
rtt2: t.Optional[float] = None
rtt3: t.Optional[float] = None
# MikroTik-specific statistics
loss_pct: t.Optional[int] = None
sent_count: t.Optional[int] = None
last_rtt: t.Optional[float] = None
best_rtt: t.Optional[float] = None
worst_rtt: t.Optional[float] = None
# IP enrichment data
asn: t.Optional[str] = None
org: t.Optional[str] = None
prefix: t.Optional[str] = None
country: t.Optional[str] = None
rir: t.Optional[str] = None
allocated: t.Optional[str] = None
@field_validator("ip_address")
def validate_ip_address(cls, value):
"""Validate IP address format."""
if value is not None:
# Handle truncated addresses (MikroTik sometimes truncates long IPv6 addresses with ...)
if value.endswith("...") or value.endswith(".."):
return None # Invalid for BGP enrichment but kept in display_ip
try:
ip_address(value)
except AddressValueError:
return None
return value
@property
def ip_display(self) -> t.Optional[str]:
"""Get the IP address for display purposes (may be truncated)."""
return self.display_ip or self.ip_address
@property
def avg_rtt(self) -> t.Optional[float]:
"""Calculate average RTT from available measurements."""
rtts = [rtt for rtt in [self.rtt1, self.rtt2, self.rtt3] if rtt is not None]
return sum(rtts) / len(rtts) if rtts else None
@property
def is_timeout(self) -> bool:
"""Check if this hop is a timeout (no IP and no RTTs)."""
return self.ip_address is None and all(
rtt is None for rtt in [self.rtt1, self.rtt2, self.rtt3]
)
@property
def asn_display(self) -> str:
"""Display ASN - just the number, no AS prefix."""
if self.asn and self.asn != "None":
if self.asn == "IXP":
# For IXPs, show "IXP" with org if available
if self.org and self.org != "None":
return f"IXP ({self.org})"
return "IXP"
else:
# For ASNs, show just the number with org if available
if self.org and self.org != "None":
return f"{self.asn} ({self.org})"
return self.asn
return "Unknown"
class TracerouteResult(HyperglassModel):
"""Complete traceroute result."""
target: str
source: str
hops: t.List[TracerouteHop]
max_hops: int = 30
packet_size: int = 60
raw_output: t.Optional[str] = (
None # Store cleaned/processed output for "Copy Raw" functionality (not original raw router output)
)
asn_organizations: t.Dict[str, t.Dict[str, str]] = {} # ASN -> {name, country}
@property
def hop_count(self) -> int:
"""Total number of hops."""
return len(self.hops)
@property
def unique_asns(self) -> t.List[str]:
"""List of unique ASNs encountered in the path."""
asns = set()
for hop in self.hops:
if hop.asn and hop.asn != "None":
asns.add(hop.asn)
return sorted(list(asns))
@property
def as_path_summary(self) -> str:
"""Summary of AS path traversed."""
as_path = []
current_asn = None
for hop in self.hops:
if hop.asn and hop.asn not in ["None", None] and hop.asn != current_asn:
current_asn = hop.asn
# hop.asn is now just number ("12345") or "IXP" - display as-is
as_path.append(hop.asn)
return " -> ".join(as_path) if as_path else "Unknown"
@property
def as_path_detailed(self) -> str:
"""Detailed AS path with organization names."""
as_path = []
current_asn = None
current_org = None
for hop in self.hops:
if hop.asn and hop.asn not in ["None", None] and hop.asn != current_asn:
current_asn = hop.asn # Just number ("12345") or "IXP"
current_org = hop.org
# Format with org name if we have it
if current_org and current_org not in ["None", None]:
if current_asn == "IXP":
as_path.append(f"IXP ({current_org})")
else:
as_path.append(f"{current_asn} ({current_org})")
else:
as_path.append(current_asn)
return " -> ".join(as_path) if as_path else "Unknown"
@property
def as_path_data(self) -> t.List[t.Dict[str, t.Union[str, None]]]:
"""AS path data as structured list for frontend visualization."""
as_path_data = []
current_asn = None
current_org = None
for hop in self.hops:
if hop.asn and hop.asn not in ["None", None] and hop.asn != current_asn:
current_asn = hop.asn # Just number ("12345") or "IXP"
current_org = hop.org
as_path_data.append(
{
"asn": current_asn,
"org": current_org if current_org and current_org != "None" else None,
}
)
return as_path_data
async def enrich_with_ip_enrichment(self):
"""Enrich traceroute hops with IP enrichment data."""
from hyperglass.external.ip_enrichment import network_info
# Extract all IP addresses that need enrichment
ips_to_lookup = []
for hop in self.hops:
if hop.ip_address and hop.asn is None: # Only lookup if not already enriched
ips_to_lookup.append(hop.ip_address)
if not ips_to_lookup:
return
# Bulk lookup IP information
network_data = await network_info(*ips_to_lookup)
# Enrich hops with the retrieved data
for hop in self.hops:
if hop.ip_address in network_data:
data: TargetDetail = network_data[hop.ip_address]
# ASN field is now just number string ("12345") or "IXP"
asn_value = data.get("asn")
if asn_value and asn_value != "None":
hop.asn = asn_value # Store as-is: "12345" or "IXP"
else:
hop.asn = None
hop.org = data.get("org") if data.get("org") != "None" else None
hop.prefix = data.get("prefix") if data.get("prefix") != "None" else None
hop.country = data.get("country") if data.get("country") != "None" else None
hop.rir = data.get("rir") if data.get("rir") != "None" else None
hop.allocated = data.get("allocated") if data.get("allocated") != "None" else None
async def enrich_asn_organizations(self):
"""Enrich ASN organization names using bulk ASN lookup."""
from hyperglass.external.ip_enrichment import lookup_asns_bulk
from hyperglass.log import log
_log = log.bind(source="traceroute_asn_enrichment")
# Collect all unique ASNs that need organization info
asns_to_lookup = []
for hop in self.hops:
if hop.asn and hop.asn != "None" and hop.asn != "IXP":
asns_to_lookup.append(hop.asn)
_log.debug(f"Hop {hop.hop_number}: ASN={hop.asn}, current org='{hop.org}'")
if not asns_to_lookup:
_log.debug("No ASNs to lookup")
return
# Remove duplicates while preserving order
unique_asns = list(dict.fromkeys(asns_to_lookup))
_log.info(f"Looking up organizations for {len(unique_asns)} unique ASNs: {unique_asns}")
# Bulk lookup ASN organization data
asn_data = await lookup_asns_bulk(unique_asns)
_log.debug(f"Got ASN data: {asn_data}")
# Apply the organization data to hops
for hop in self.hops:
if hop.asn and hop.asn in asn_data:
data = asn_data[hop.asn]
org_name = data.get("name") if data.get("name") != f"AS{hop.asn}" else None
_log.debug(
f"Hop {hop.hop_number} ASN {hop.asn}: setting org='{org_name}' (was '{hop.org}')"
)
# Always update org from ASN data (more accurate than IP-based org)
hop.org = org_name
if not hop.country: # Only set country if not already set
hop.country = data.get("country") or None
# Store the ASN organization mapping for frontend path visualization
self.asn_organizations = asn_data

30
hyperglass/models/directive.py
View file

@ -19,7 +19,7 @@ from .main import MultiModel, HyperglassModel, HyperglassUniqueModel
from .fields import Action
StringOrArray = t.Union[str, t.List[str]]
Condition = t.Union[IPvAnyNetwork, str]
Condition = t.Union[str, None]
RuleValidation = t.Union[t.Literal["ipv4", "ipv6", "pattern"], None]
PassedValidation = t.Union[bool, None]
IPFamily = t.Literal["ipv4", "ipv6"]
@ -264,7 +264,7 @@ class Directive(HyperglassUniqueModel, unique_by=("id", "table_output")):
id: str
name: str
rules: t.List[RuleType] = [RuleWithoutValidation()]
field: t.Union[Text, Select]
field: t.Union[Text, Select, None]
info: t.Optional[FilePath] = None
plugins: t.List[str] = []
table_output: t.Optional[str] = None
@ -282,15 +282,16 @@ class Directive(HyperglassUniqueModel, unique_by=("id", "table_output")):
condition = rule.get("condition")
if condition is None:
out_rules.append(RuleWithoutValidation(**rule))
try:
condition_net = ip_network(condition)
if condition_net.version == 4:
out_rules.append(RuleWithIPv4(**rule))
if condition_net.version == 6:
out_rules.append(RuleWithIPv6(**rule))
except ValueError:
out_rules.append(RuleWithPattern(**rule))
if isinstance(rule, Rule):
else:
try:
condition_net = ip_network(condition)
if condition_net.version == 4:
out_rules.append(RuleWithIPv4(**rule))
if condition_net.version == 6:
out_rules.append(RuleWithIPv6(**rule))
except ValueError:
out_rules.append(RuleWithPattern(**rule))
elif isinstance(rule, Rule):
out_rules.append(rule)
return out_rules
@ -306,7 +307,8 @@ class Directive(HyperglassUniqueModel, unique_by=("id", "table_output")):
@property
def field_type(self) -> t.Literal["text", "select", None]:
"""Get the linked field type."""
if self.field is None:
return None
if self.field.is_select:
return "select"
if self.field.is_text or self.field.is_ip:
@ -337,7 +339,7 @@ class Directive(HyperglassUniqueModel, unique_by=("id", "table_output")):
"name": self.name,
"field_type": self.field_type,
"groups": self.groups,
"description": self.field.description,
"description": self.field.description if self.field is not None else "",
"info": None,
}
@ -345,7 +347,7 @@ class Directive(HyperglassUniqueModel, unique_by=("id", "table_output")):
with self.info.open() as md:
value["info"] = md.read()
if self.field.is_select:
if self.field is not None and self.field.is_select:
value["options"] = [o.export_dict() for o in self.field.options if o is not None]
return value

407
hyperglass/models/parsing/mikrotik.py
View file

@ -307,3 +307,410 @@ class MikrotikBGPTable(MikrotikBase):
routes=routes,
winning_weight="low",
)
class MikrotikTracerouteTable(MikrotikBase):
"""MikroTik Traceroute Table."""
target: str
source: str
hops: t.List["MikrotikTracerouteHop"] = []
max_hops: int = 30
packet_size: int = 60
@classmethod
def parse_text(cls, text: str, target: str, source: str) -> "MikrotikTracerouteTable":
"""Parse MikroTik traceroute output.
MikroTik shows multiple complete tables over time as it builds the traceroute:
Columns: ADDRESS, LOSS, SENT, LAST, AVG, BEST, WORST, STD-DEV
# ADDRESS LOSS SENT LAST AVG BEST WORST STD-DEV
1 10.0.0.41 0% 1 0.5ms 0.5 0.5 0.5 0
2 185.73.201.193 0% 1 0.4ms 0.4 0.4 0.4 0
3 46.31.76.111 0% 1 0.5ms 0.5 0.5 0.5 0
4 0% 1 0ms
-- [Q quit|C-z pause]
Columns: ADDRESS, LOSS, SENT, LAST, AVG, BEST, WORST, STD-DEV
# ADDRESS LOSS SENT LAST AVG BEST WORST STD-DEV
1 10.0.0.41 0% 1 0.5ms 0.5 0.5 0.5 0
2 185.73.201.193 0% 1 0.4ms 0.4 0.4 0.4 0
...more tables...
We need to find the LAST/NEWEST table and use that as the final result.
"""
_log = log.bind(parser="MikrotikTracerouteTable")
# DEBUG: Log the raw input
_log.debug(f"=== RAW MIKROTIK TRACEROUTE INPUT ===")
_log.debug(f"Target: {target}, Source: {source}")
_log.debug(f"Raw text length: {len(text)} characters")
_log.debug(f"Raw text:\n{repr(text)}")
_log.debug(f"=== END RAW INPUT ===")
lines = text.strip().split("\n")
_log.debug(f"Split into {len(lines)} lines")
# DEBUG: Log each line with line numbers
for i, line in enumerate(lines):
_log.debug(f"Line {i:2d}: {repr(line)}")
# Find all table starts - handle both formats:
# Format 1: "Columns: ADDRESS, LOSS, SENT..." (newer format with hop numbers)
# Format 2: "ADDRESS LOSS SENT..." (older format, no hop numbers)
table_starts = []
for i, line in enumerate(lines):
if ("Columns:" in line and "ADDRESS" in line) or (
"ADDRESS" in line
and "LOSS" in line
and "SENT" in line
and not line.strip().startswith(("1", "2", "3", "4", "5", "6", "7", "8", "9"))
):
table_starts.append(i)
_log.debug(f"Found table start at line {i}: {repr(line)}")
if not table_starts:
_log.warning("No traceroute table headers found in output")
return MikrotikTracerouteTable(target=target, source=source, hops=[])
# Take the LAST table (newest/final results)
last_table_start = table_starts[-1]
_log.debug(
f"Found {len(table_starts)} tables, using the last one starting at line {last_table_start}"
)
# Determine format by checking the header line
header_line = lines[last_table_start].strip()
is_columnar_format = "Columns:" in header_line
_log.debug(f"Header line: {repr(header_line)}")
_log.debug(f"Is columnar format: {is_columnar_format}")
# Parse only the last table
hops = []
in_data_section = False
current_hop_number = 1 # Track the current hop number
hop_counter = 1 # For old format without hop numbers
# Start from the last table header
for i in range(last_table_start, len(lines)):
original_line = lines[i] # Keep original line with whitespace
line = original_line.strip() # Stripped version for most processing
# Skip empty lines
if not line:
_log.debug(f"Line {i}: EMPTY - skipping")
continue
# Skip the column header lines
if (
("Columns:" in line)
or ("ADDRESS" in line and "LOSS" in line and "SENT" in line)
or line.startswith("#")
):
in_data_section = True
_log.debug(f"Line {i}: HEADER - entering data section: {repr(line)}")
continue
# Skip paging prompts
if "-- [Q quit|C-z pause]" in line:
_log.debug(f"Line {i}: PAGING PROMPT - breaking: {repr(line)}")
break # End of this table
if in_data_section and line:
_log.debug(f"Line {i}: PROCESSING DATA LINE: {repr(line)}")
try:
# Define helper function for RTT parsing
def parse_rtt(rtt_str: str) -> t.Optional[float]:
if rtt_str in ("timeout", "-", "0ms"):
return None
# Remove 'ms' suffix and convert to float
rtt_clean = re.sub(r"ms$", "", rtt_str)
try:
return float(rtt_clean)
except ValueError:
return None
# Check if this is a timeout/continuation line (starts with whitespace, has % and numbers)
# Use original_line to check for leading whitespace
if (
(original_line.startswith(" ") or original_line.startswith("\t"))
and "%" in line
and ("timeout" in line or "0ms" in line)
):
# This is a timeout/continuation hop
parts = line.split()
_log.debug(f"Line {i}: Timeout/continuation line, parts: {parts}")
if len(parts) >= 2 and parts[0].endswith("%"):
ip_address = None
loss_pct = int(parts[0].rstrip("%"))
sent_count = int(parts[1])
if "timeout" in parts:
last_rtt_str = "timeout"
avg_rtt_str = "timeout"
best_rtt_str = "timeout"
worst_rtt_str = "timeout"
else:
last_rtt_str = parts[2] if len(parts) > 2 else "0ms"
avg_rtt_str = "0"
best_rtt_str = "0"
worst_rtt_str = "0"
# Create timeout hop
hop = MikrotikTracerouteHop(
hop_number=current_hop_number,
ip_address=ip_address,
hostname=None,
loss_pct=loss_pct,
sent_count=sent_count,
last_rtt=parse_rtt(last_rtt_str),
avg_rtt=parse_rtt(avg_rtt_str),
best_rtt=parse_rtt(best_rtt_str),
worst_rtt=parse_rtt(worst_rtt_str),
)
hops.append(hop)
current_hop_number += 1
_log.debug(f"Line {i}: Created timeout hop {hop.hop_number}")
continue
if is_columnar_format:
# New format: "1 10.0.0.41 0% 1 0.5ms 0.5 0.5 0.5 0"
parts = line.split()
_log.debug(f"Line {i}: Columnar format, parts: {parts}")
if len(parts) < 3:
_log.debug(f"Line {i}: Too few parts ({len(parts)}), skipping")
continue
hop_number = int(parts[0])
# Check if there's an IP address or if it's empty (timeout hop)
if len(parts) >= 8 and not parts[1].endswith("%"):
# Normal hop with IP address
ip_address = parts[1] if parts[1] else None
loss_pct = int(parts[2].rstrip("%"))
sent_count = int(parts[3])
last_rtt_str = parts[4]
avg_rtt_str = parts[5]
best_rtt_str = parts[6]
worst_rtt_str = parts[7]
elif len(parts) >= 4 and parts[1].endswith("%"):
# Timeout hop without IP address
ip_address = None
loss_pct = int(parts[1].rstrip("%"))
sent_count = int(parts[2])
last_rtt_str = parts[3] if len(parts) > 3 else "timeout"
avg_rtt_str = "timeout"
best_rtt_str = "timeout"
worst_rtt_str = "timeout"
else:
_log.debug(f"Line {i}: Doesn't match columnar patterns, skipping")
continue
else:
# Old format: "196.60.8.198 0% 1 17.1ms 17.1 17.1 17.1 0"
# We need to deduplicate by taking the LAST occurrence of each IP
parts = line.split()
_log.debug(f"Line {i}: Old format, parts: {parts}")
if len(parts) < 6:
_log.debug(f"Line {i}: Too few parts ({len(parts)}), skipping")
continue
ip_address = parts[0] if not parts[0].endswith("%") else None
# Check for truncated IPv6 addresses
if ip_address and (ip_address.endswith("...") or ip_address.endswith("..")):
_log.warning(
f"Line {i}: Truncated IP address detected: {ip_address} - setting to None"
)
ip_address = None
if ip_address:
loss_pct = int(parts[1].rstrip("%"))
sent_count = int(parts[2])
last_rtt_str = parts[3]
avg_rtt_str = parts[4]
best_rtt_str = parts[5]
worst_rtt_str = parts[6] if len(parts) > 6 else parts[5]
else:
# Timeout line or truncated address
if parts[0].endswith("%"):
# Normal timeout line
loss_pct = int(parts[0].rstrip("%"))
sent_count = int(parts[1])
else:
# Truncated address - extract stats from remaining parts
loss_pct = int(parts[1].rstrip("%"))
sent_count = int(parts[2])
last_rtt_str = "timeout"
avg_rtt_str = "timeout"
best_rtt_str = "timeout"
worst_rtt_str = "timeout"
# Convert timing values
def parse_rtt(rtt_str: str) -> t.Optional[float]:
if rtt_str in ("timeout", "-", "0ms"):
return None
# Remove 'ms' suffix and convert to float
rtt_clean = re.sub(r"ms$", "", rtt_str)
try:
return float(rtt_clean)
except ValueError:
return None
if is_columnar_format:
# Use hop number from the data and update our tracker
final_hop_number = hop_number
current_hop_number = max(current_hop_number, hop_number + 1)
else:
# Use sequential numbering for old format
final_hop_number = hop_counter
hop_counter += 1
hop_obj = MikrotikTracerouteHop(
hop_number=final_hop_number,
ip_address=ip_address,
hostname=None, # MikroTik doesn't do reverse DNS by default
loss_pct=loss_pct,
sent_count=sent_count,
last_rtt=parse_rtt(last_rtt_str),
avg_rtt=parse_rtt(avg_rtt_str),
best_rtt=parse_rtt(best_rtt_str),
worst_rtt=parse_rtt(worst_rtt_str),
)
hops.append(hop_obj)
_log.debug(
f"Line {i}: Created hop {final_hop_number}: {ip_address} - {loss_pct}% - {sent_count} sent"
)
except (ValueError, IndexError) as e:
_log.debug(f"Failed to parse line '{line}': {e}")
continue
_log.debug(f"Before deduplication: {len(hops)} hops")
# For old format, we need to deduplicate by IP and take only final stats
if not is_columnar_format and hops:
_log.debug(f"Old format detected - deduplicating {len(hops)} total entries")
# Group by IP address and take the HIGHEST SENT count (final stats)
ip_to_final_hop = {}
ip_to_max_sent = {}
hop_order = []
for hop in hops:
# Use IP address if available, otherwise use hop position for timeouts
if hop.ip_address:
ip_key = hop.ip_address
else:
# No IP address means timeout hop
ip_key = f"timeout_{hop.hop_number}"
# Track first appearance order
if ip_key not in hop_order:
hop_order.append(ip_key)
ip_to_max_sent[ip_key] = 0
_log.debug(f"New IP discovered: {ip_key}")
# Keep hop with highest SENT count (most recent/final stats)
if hop.sent_count and hop.sent_count >= ip_to_max_sent[ip_key]:
ip_to_max_sent[ip_key] = hop.sent_count
ip_to_final_hop[ip_key] = hop
_log.debug(f"Updated {ip_key}: SENT={hop.sent_count} (final stats)")
_log.debug(f"IP order: {hop_order}")
_log.debug(f"Final IP stats: {[(ip, ip_to_max_sent[ip]) for ip in hop_order]}")
# Rebuild hops list with final stats and correct hop numbers
final_hops = []
for i, ip_key in enumerate(hop_order, 1):
final_hop = ip_to_final_hop[ip_key]
final_hop.hop_number = i # Correct hop numbering
final_hops.append(final_hop)
_log.debug(
f"Final hop {i}: {ip_key} - Loss: {final_hop.loss_pct}% - Sent: {final_hop.sent_count}"
)
hops = final_hops
_log.debug(f"Deduplication complete: {len(hops)} unique hops with final stats")
_log.debug(f"After processing: {len(hops)} final hops")
for hop in hops:
_log.debug(
f"Final hop {hop.hop_number}: {hop.ip_address} - {hop.loss_pct}% loss - {hop.sent_count} sent"
)
result = MikrotikTracerouteTable(target=target, source=source, hops=hops)
_log.info(f"Parsed {len(hops)} hops from MikroTik traceroute final table")
return result
def traceroute_result(self):
"""Convert to TracerouteResult format."""
from hyperglass.models.data.traceroute import TracerouteResult, TracerouteHop
converted_hops = []
for hop in self.hops:
# Handle truncated IP addresses
ip_address = hop.ip_address
display_ip = None
if hop.ip_address and hop.ip_address.endswith("..."):
# For truncated IPs, store for display but set ip_address to None for validation
display_ip = hop.ip_address
ip_address = None
converted_hops.append(
TracerouteHop(
hop_number=hop.hop_number,
ip_address=ip_address, # None for truncated IPs
display_ip=display_ip, # Truncated IP for display
hostname=hop.hostname,
rtt1=hop.best_rtt,
rtt2=hop.avg_rtt,
rtt3=hop.worst_rtt,
# MikroTik-specific statistics
loss_pct=hop.loss_pct,
sent_count=hop.sent_count,
last_rtt=hop.last_rtt,
best_rtt=hop.best_rtt,
worst_rtt=hop.worst_rtt,
# BGP enrichment fields will be populated by enrichment plugin
# For truncated IPs, these will remain None/empty
asn=None,
org=None,
prefix=None,
country=None,
rir=None,
allocated=None,
)
)
return TracerouteResult(
target=self.target,
source=self.source,
hops=converted_hops,
max_hops=self.max_hops,
packet_size=self.packet_size,
raw_output=None, # Will be set by the plugin
)
class MikrotikTracerouteHop(MikrotikBase):
"""Individual MikroTik traceroute hop."""
hop_number: int
ip_address: t.Optional[str] = None
hostname: t.Optional[str] = None
# MikroTik-specific statistics
loss_pct: t.Optional[int] = None
sent_count: t.Optional[int] = None
last_rtt: t.Optional[float] = None
avg_rtt: t.Optional[float] = None
best_rtt: t.Optional[float] = None
worst_rtt: t.Optional[float] = None
@property
def is_timeout(self) -> bool:
"""Check if this hop is a timeout."""
return self.ip_address is None or self.loss_pct == 100

235
hyperglass/models/parsing/traceroute.py Normal file
View file

@ -0,0 +1,235 @@
"""Example traceroute parsing module."""
# Standard Library
import re
import typing as t
# Project
from hyperglass.log import log
from hyperglass.models.data.traceroute import TracerouteResult, TracerouteHop
# Local
from ..main import HyperglassModel
class TracerouteParser(HyperglassModel):
"""Base traceroute parser."""
@classmethod
def parse_text(cls, text: str, target: str, source: str) -> TracerouteResult:
"""Parse traceroute text output into structured data."""
_log = log.bind(parser="TracerouteParser")
hops = []
lines = text.strip().split("\n")
# Common traceroute pattern: hop number, IP/hostname, RTT values
hop_pattern = re.compile(r"^\s*(\d+)\s+(?:(\S+)\s+\(([^)]+)\)|(\S+))\s+(.+)$")
# RTT pattern to extract timing values
rtt_pattern = re.compile(r"(\d+(?:\.\d+)?)\s*ms")
for line in lines:
line = line.strip()
if not line or line.startswith("traceroute"):
continue
# Handle timeout lines (* * *)
if "*" in line and re.search(r"\d+\s+\*", line):
hop_match = re.match(r"^\s*(\d+)\s+\*", line)
if hop_match:
hop_number = int(hop_match.group(1))
hops.append(
TracerouteHop(
hop_number=hop_number,
ip_address=None,
hostname=None,
rtt1=None,
rtt2=None,
rtt3=None,
)
)
continue
# Parse normal hop lines
hop_match = hop_pattern.match(line)
if hop_match:
hop_number = int(hop_match.group(1))
# Extract hostname and IP
if hop_match.group(2) and hop_match.group(3):
# Format: hostname (ip)
hostname = hop_match.group(2)
ip_address = hop_match.group(3)
else:
# Format: ip or hostname only
hostname = None
ip_address = hop_match.group(4)
# Extract RTT values
rtt_text = hop_match.group(5)
rtts = rtt_pattern.findall(rtt_text)
# Pad with None if less than 3 RTT values
while len(rtts) < 3:
rtts.append(None)
hops.append(
TracerouteHop(
hop_number=hop_number,
ip_address=ip_address,
hostname=hostname,
rtt1=float(rtts[0]) if rtts[0] else None,
rtt2=float(rtts[1]) if rtts[1] else None,
rtt3=float(rtts[2]) if rtts[2] else None,
)
)
result = TracerouteResult(target=target, source=source, hops=hops)
_log.info(f"Parsed {len(hops)} hops from traceroute output")
return result
class CiscoTracerouteParser(TracerouteParser):
"""Cisco-specific traceroute parser."""
@classmethod
def parse_text(cls, text: str, target: str, source: str) -> TracerouteResult:
"""Parse Cisco traceroute output."""
_log = log.bind(parser="CiscoTracerouteParser")
# Cisco traceroute often has format like:
# Type escape sequence to abort.
# Tracing the route to 8.8.8.8 (8.8.8.8)
# 1 192.168.1.1 4 msec 8 msec 4 msec
lines = text.strip().split("\n")
hops = []
for line in lines:
line = line.strip()
if not line or "escape sequence" in line.lower() or "tracing" in line.lower():
continue
# Cisco format: hop_number ip_or_hostname rtt1 msec rtt2 msec rtt3 msec
cisco_pattern = re.compile(
r"^\s*(\d+)\s+(\S+)\s+(\d+(?:\.\d+)?)\s*msec\s+(\d+(?:\.\d+)?)\s*msec\s+(\d+(?:\.\d+)?)\s*msec"
)
match = cisco_pattern.match(line)
if match:
hop_number = int(match.group(1))
ip_or_hostname = match.group(2)
rtt1 = float(match.group(3))
rtt2 = float(match.group(4))
rtt3 = float(match.group(5))
# Try to determine if it's an IP or hostname
import ipaddress
try:
ipaddress.ip_address(ip_or_hostname)
ip_address = ip_or_hostname
hostname = None
except ValueError:
ip_address = None
hostname = ip_or_hostname
hops.append(
TracerouteHop(
hop_number=hop_number,
ip_address=ip_address,
hostname=hostname,
rtt1=rtt1,
rtt2=rtt2,
rtt3=rtt3,
)
)
result = TracerouteResult(target=target, source=source, hops=hops)
_log.info(f"Parsed {len(hops)} hops from Cisco traceroute output")
return result
class JuniperTracerouteParser(TracerouteParser):
"""Juniper-specific traceroute parser."""
@classmethod
def parse_text(cls, text: str, target: str, source: str) -> TracerouteResult:
"""Parse Juniper traceroute output."""
_log = log.bind(parser="JuniperTracerouteParser")
# Juniper format often like:
# traceroute to 8.8.8.8 (8.8.8.8), 30 hops max, 60 byte packets
# 1 192.168.1.1 (192.168.1.1) 1.234 ms 1.456 ms 1.678 ms
lines = text.strip().split("\n")
hops = []
for line in lines:
line = line.strip()
if not line or line.startswith("traceroute to"):
continue
# Juniper format often has hostname (ip) followed by RTTs
juniper_pattern = re.compile(
r"^\s*(\d+)\s+(?:(\S+)\s+\(([^)]+)\)|(\S+))\s+([\d\.\s\*ms]+)$"
)
match = juniper_pattern.match(line)
if match:
hop_number = int(match.group(1))
if match.group(2) and match.group(3):
hostname = match.group(2)
ip_address = match.group(3)
else:
hostname = None
ip_address = match.group(4)
# Extract RTT values
rtt_text = match.group(5)
rtts = re.findall(r"(\d+(?:\.\d+)?)\s*ms", rtt_text)
# Handle * for timeouts
if "*" in rtt_text:
timeout_count = rtt_text.count("*")
rtts.extend([None] * timeout_count)
# Ensure we have exactly 3 RTT values
while len(rtts) < 3:
rtts.append(None)
hops.append(
TracerouteHop(
hop_number=hop_number,
ip_address=ip_address,
hostname=hostname,
rtt1=float(rtts[0]) if rtts[0] else None,
rtt2=float(rtts[1]) if rtts[1] else None,
rtt3=float(rtts[2]) if rtts[2] else None,
)
)
result = TracerouteResult(target=target, source=source, hops=hops)
_log.info(f"Parsed {len(hops)} hops from Juniper traceroute output")
return result
# Parser mapping by platform
TRACEROUTE_PARSERS = {
"cisco_ios": CiscoTracerouteParser,
"cisco_nxos": CiscoTracerouteParser,
"cisco_xr": CiscoTracerouteParser,
"juniper": JuniperTracerouteParser,
"juniper_junos": JuniperTracerouteParser,
"generic": TracerouteParser, # Fallback
}
def get_traceroute_parser(platform: str) -> t.Type[TracerouteParser]:
"""Get the appropriate traceroute parser for a platform."""
return TRACEROUTE_PARSERS.get(platform, TracerouteParser)

2
hyperglass/models/ui.py
View file

@ -19,7 +19,7 @@ class UIDirective(HyperglassModel):
id: str
name: str
field_type: str
field_type: t.Union[str, None]
groups: t.List[str]
description: str
info: t.Optional[str] = None

8
hyperglass/plugins/_builtin/__init__.py
View file

@ -10,6 +10,10 @@ from .bgp_route_juniper import BGPRoutePluginJuniper
from .mikrotik_garbage_output import MikrotikGarbageOutput
from .bgp_routestr_mikrotik import BGPSTRRoutePluginMikrotik
from .mikrotik_normalize_input import MikrotikTargetNormalizerInput
from .traceroute_ip_enrichment import ZTracerouteIpEnrichment
from .bgp_route_ip_enrichment import ZBgpRouteIpEnrichment
from .trace_route_mikrotik import TraceroutePluginMikrotik
from .trace_route_huawei import TraceroutePluginHuawei
__all__ = (
"BGPRoutePluginArista",
@ -20,5 +24,9 @@ __all__ = (
"MikrotikGarbageOutput",
"BGPSTRRoutePluginMikrotik",
"MikrotikTargetNormalizerInput",
"ZTracerouteIpEnrichment",
"ZBgpRouteIpEnrichment",
"TraceroutePluginMikrotik",
"TraceroutePluginHuawei",
"RemoveCommand",
)

114
hyperglass/plugins/_builtin/bgp_route_ip_enrichment.py Normal file
View file

@ -0,0 +1,114 @@
"""IP enrichment for structured BGP route data - show path functionality."""
# Standard Library
import asyncio
import typing as t
# Third Party
from pydantic import PrivateAttr
# Project
from hyperglass.log import log
from hyperglass.plugins._output import OutputPlugin
from hyperglass.models.data.bgp_route import BGPRouteTable
if t.TYPE_CHECKING:
from hyperglass.models.data import OutputDataModel
from hyperglass.models.api.query import Query
class ZBgpRouteIpEnrichment(OutputPlugin):
"""Enrich structured BGP route output with IP enrichment for next-hop ASN/organization data."""
_hyperglass_builtin: bool = PrivateAttr(True)
platforms: t.Sequence[str] = (
"mikrotik_routeros",
"mikrotik_switchos",
"mikrotik",
"cisco_ios",
"juniper_junos",
"arista_eos",
"frr",
"huawei",
"huawei_vrpv8",
)
directives: t.Sequence[str] = ("bgp_route", "bgp_community")
common: bool = True
async def _enrich_async(self, output: BGPRouteTable, enrich_next_hop: bool = True) -> None:
"""Async helper to enrich BGP route data."""
_log = log.bind(plugin=self.__class__.__name__)
if enrich_next_hop:
try:
# First enrich with next-hop IP information (if enabled)
await output.enrich_with_ip_enrichment()
_log.debug("BGP next-hop IP enrichment completed")
except Exception as e:
_log.error(f"BGP next-hop IP enrichment failed: {e}")
else:
_log.debug("BGP next-hop IP enrichment skipped (disabled in config)")
try:
# Always enrich AS path ASNs with organization names
await output.enrich_as_path_organizations()
_log.debug("BGP AS path organization enrichment completed")
except Exception as e:
_log.error(f"BGP AS path organization enrichment failed: {e}")
def process(self, *, output: "OutputDataModel", query: "Query") -> "OutputDataModel":
"""Enrich structured BGP route data with next-hop IP enrichment information."""
if not isinstance(output, BGPRouteTable):
return output
_log = log.bind(plugin=self.__class__.__name__)
_log.warning(f"🔍 BGP ROUTE PLUGIN STARTED - Processing {len(output.routes)} BGP routes")
# Check if IP enrichment is enabled in config
enrich_next_hop = True
try:
from hyperglass.state import use_state
params = use_state("params")
if not params.structured.ip_enrichment.enabled:
_log.debug("IP enrichment disabled in configuration")
return output
# Check next-hop enrichment setting but don't exit - we still want ASN org enrichment
enrich_next_hop = params.structured.ip_enrichment.enrich_next_hop
if not enrich_next_hop:
_log.debug(
"Next-hop enrichment disabled in configuration - will skip next-hop lookup but continue with ASN organization enrichment"
)
except Exception as e:
_log.debug(f"Could not check IP enrichment config: {e}")
# Use the built-in enrichment method from BGPRouteTable
try:
# Run async enrichment in sync context
loop = None
try:
loop = asyncio.get_event_loop()
if loop.is_running():
# If we're already in an event loop, create a new task
import concurrent.futures
with concurrent.futures.ThreadPoolExecutor() as executor:
future = executor.submit(
asyncio.run, self._enrich_async(output, enrich_next_hop)
)
future.result()
else:
loop.run_until_complete(self._enrich_async(output, enrich_next_hop))
except RuntimeError:
# No event loop, create one
asyncio.run(self._enrich_async(output, enrich_next_hop))
_log.warning(
f"🔍 BGP ROUTE PLUGIN COMPLETED - ASN organizations: {len(output.asn_organizations)}"
)
except Exception as e:
_log.error(f"BGP route IP enrichment failed: {e}")
_log.debug(f"Completed enrichment for BGP routes")
return output

115
hyperglass/plugins/_builtin/bgptools_traceroute_enrichment.py Normal file
View file

@ -0,0 +1,115 @@
"""IP enrichment for structured traceroute data."""
# Standard Library
import socket
import typing as t
# Third Party
from pydantic import PrivateAttr
# Project
from hyperglass.log import log
from hyperglass.plugins._output import OutputPlugin
from hyperglass.models.data.traceroute import TracerouteResult
if t.TYPE_CHECKING:
from hyperglass.models.data import OutputDataModel
from hyperglass.models.api.query import Query
class ZBgpToolsTracerouteEnrichment(OutputPlugin):
"""Enrich structured traceroute output with IP enrichment ASN/organization data and reverse DNS."""
_hyperglass_builtin: bool = PrivateAttr(True)
platforms: t.Sequence[str] = (
"mikrotik_routeros",
"mikrotik_switchos",
"mikrotik",
"cisco_ios",
"juniper_junos",
)
directives: t.Sequence[str] = ("traceroute", "MikroTik_Traceroute")
common: bool = True
def _enrich_ip_with_bgptools(self, ip: str) -> t.Dict[str, t.Any]:
"""Query BGP.tools whois interface for IP enrichment data."""
try:
sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
sock.settimeout(5)
sock.connect(("bgp.tools", 43))
query = f"begin\nverbose\n{ip}\nend\n"
sock.sendall(query.encode())
response = b""
while True:
data = sock.recv(4096)
if not data:
break
response += data
sock.close()
response_text = response.decode("utf-8", errors="ignore").strip()
log.debug(f"BGP.tools response for {ip}: {response_text}")
if response_text and "|" in response_text:
lines = response_text.split("\n")
for line in lines:
if "|" in line and ip in line:
parts = [p.strip() for p in line.split("|")]
if len(parts) >= 7:
return {
"asn": parts[0] if parts[0] else None,
"org": parts[6] if len(parts) > 6 else None,
"prefix": parts[2] if parts[2] else None,
"country": parts[3] if parts[3] else None,
"rir": parts[4] if parts[4] else None,
"allocated": parts[5] if parts[5] else None,
}
except Exception as e:
log.debug(f"BGP.tools enrichment failed for {ip}: {e}")
return {
"asn": None,
"org": None,
"prefix": None,
"country": None,
"rir": None,
"allocated": None,
}
def _reverse_dns_lookup(self, ip: str) -> t.Optional[str]:
"""Perform reverse DNS lookup for IP address."""
try:
hostname = socket.gethostbyaddr(ip)[0]
log.debug(f"Reverse DNS for {ip}: {hostname}")
return hostname
except (socket.herror, socket.gaierror, socket.timeout) as e:
log.debug(f"Reverse DNS lookup failed for {ip}: {e}")
return None
def process(self, *, output: "OutputDataModel", query: "Query") -> "OutputDataModel":
"""Enrich structured traceroute data with BGP.tools and reverse DNS information."""
if not isinstance(output, TracerouteResult):
return output
_log = log.bind(plugin=self.__class__.__name__)
_log.debug(f"Starting enrichment for {len(output.hops)} traceroute hops")
for hop in output.hops:
if hop.ip_address and hop.asn is None:
bgp_data = self._enrich_ip_with_bgptools(hop.ip_address)
hop.asn = bgp_data.get("asn")
hop.org = bgp_data.get("org")
hop.prefix = bgp_data.get("prefix")
hop.country = bgp_data.get("country")
hop.rir = bgp_data.get("rir")
hop.allocated = bgp_data.get("allocated")
if hop.hostname is None:
hop.hostname = self._reverse_dns_lookup(hop.ip_address)
_log.debug(f"Completed enrichment for traceroute to {output.target}")
return output

96
hyperglass/plugins/_builtin/mikrotik_garbage_output.py
View file

@ -24,18 +24,26 @@ class MikrotikGarbageOutput(OutputPlugin):
_hyperglass_builtin: bool = PrivateAttr(True)
platforms: t.Sequence[str] = ("mikrotik_routeros", "mikrotik_switchos", "mikrotik")
# Apply to ALL commands on MikroTik platforms
common: bool = True
# Only apply to MikroTik platforms, not all devices
common: bool = False
def _clean_traceroute_output(self, raw_output: str) -> str:
"""Clean MikroTik traceroute output specifically."""
"""Clean MikroTik traceroute output specifically.
Important: Traceroute hops are sequential - each line represents a unique hop position.
We should NOT deduplicate by IP address as the same IP can appear at different hops.
Order matters for traceroute results.
However, we can aggregate consecutive timeout lines at the END of the traceroute
to avoid showing 10+ meaningless timeout entries.
"""
if not raw_output or not raw_output.strip():
return ""
lines = raw_output.splitlines()
cleaned_lines = []
found_header = False
hop_data = {} # IP -> (line, sent_count)
data_lines = []
for line in lines:
stripped = line.strip()
@ -59,54 +67,52 @@ class MikrotikGarbageOutput(OutputPlugin):
found_header = True
continue
# Only process data lines after we've found the header
# After finding header, collect all data lines
if found_header and stripped:
# Try to extract IP address (IPv4 or IPv6) from the line
ipv4_match = re.match(r"^(\d+\.\d+\.\d+\.\d+)", stripped)
ipv6_match = re.match(r"^([0-9a-fA-F:]+)", stripped) if not ipv4_match else None
data_lines.append(line)
if ipv4_match or ipv6_match:
ip = ipv4_match.group(1) if ipv4_match else ipv6_match.group(1)
# Process data lines to aggregate trailing timeouts
if data_lines:
processed_lines = []
trailing_timeout_count = 0
# Extract the SENT count from the line (look for pattern like "0% 3" or "100% 2")
sent_match = re.search(r"\s+(\d+)%\s+(\d+)\s+", stripped)
sent_count = int(sent_match.group(2)) if sent_match else 0
# Work backwards to count trailing timeouts
for i in range(len(data_lines) - 1, -1, -1):
line = data_lines[i]
if (
"100%" in line.strip()
and "timeout" in line.strip()
and not line.strip().startswith(
("1", "2", "3", "4", "5", "6", "7", "8", "9", "0")
)
):
# This is a timeout line (no IP address at start)
trailing_timeout_count += 1
else:
# Found a non-timeout line, stop counting
break
# Keep the line with the highest SENT count (most complete data)
if ip not in hop_data or sent_count > hop_data[ip][1]:
hop_data[ip] = (line, sent_count)
elif (
sent_count == hop_data[ip][1]
and "timeout" not in stripped
and "timeout" in hop_data[ip][0]
):
# If SENT counts are equal, prefer non-timeout over timeout
hop_data[ip] = (line, sent_count)
elif "100%" in stripped and "timeout" in stripped:
# Skip standalone timeout lines without IP
continue
# Add non-trailing lines as-is
non_trailing_count = len(data_lines) - trailing_timeout_count
processed_lines.extend(data_lines[:non_trailing_count])
# Reconstruct the output with only the best results
if found_header and hop_data:
result_lines = [cleaned_lines[0]] # Header
# Handle trailing timeouts
if trailing_timeout_count > 0:
if trailing_timeout_count <= 3:
# If 3 or fewer trailing timeouts, show them all
processed_lines.extend(data_lines[non_trailing_count:])
else:
# If more than 3 trailing timeouts, show first 2 and aggregate the rest
processed_lines.extend(data_lines[non_trailing_count : non_trailing_count + 2])
remaining_timeouts = trailing_timeout_count - 2
# Add an aggregation line
processed_lines.append(
f" ... ({remaining_timeouts} more timeout hops)"
)
# Sort by the order IPs first appeared, but use the best data for each
seen_ips = []
for line in lines:
stripped = line.strip()
if found_header:
ipv4_match = re.match(r"^(\d+\.\d+\.\d+\.\d+)", stripped)
ipv6_match = re.match(r"^([0-9a-fA-F:]+)", stripped) if not ipv4_match else None
cleaned_lines.extend(processed_lines)
if ipv4_match or ipv6_match:
ip = ipv4_match.group(1) if ipv4_match else ipv6_match.group(1)
if ip not in seen_ips and ip in hop_data:
seen_ips.append(ip)
result_lines.append(hop_data[ip][0])
return "\n".join(result_lines)
return raw_output
return "\n".join(cleaned_lines)
def process(self, *, output: OutputType, query: "Query") -> Series[str]:
"""

253
hyperglass/plugins/_builtin/trace_route_huawei.py Normal file
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@ -0,0 +1,253 @@
"""Parse Huawei traceroute output to structured data."""
# Standard Library
import re
import typing as t
# Third Party
from pydantic import PrivateAttr
# Project
from hyperglass.log import log
from hyperglass.exceptions.private import ParsingError
from hyperglass.models.data.traceroute import TracerouteResult, TracerouteHop
# Local
from .._output import OutputPlugin
if t.TYPE_CHECKING:
from hyperglass.models.data import OutputDataModel
from hyperglass.models.api.query import Query
from .._output import OutputType
def _normalize_output(output: t.Union[str, t.Sequence[str]]) -> t.List[str]:
"""Ensure the output is a list of strings."""
if isinstance(output, str):
return [output]
return list(output)
def parse_huawei_traceroute(
output: t.Union[str, t.Sequence[str]], target: str, source: str
) -> "OutputDataModel":
"""Parse a Huawei traceroute text response."""
result = None
out_list = _normalize_output(output)
_log = log.bind(plugin=TraceroutePluginHuawei.__name__)
combined_output = "\n".join(out_list)
# DEBUG: Log the raw output we're about to parse
_log.debug(f"=== HUAWEI TRACEROUTE PLUGIN RAW INPUT ===")
_log.debug(f"Target: {target}, Source: {source}")
_log.debug(f"Output pieces: {len(out_list)}")
_log.debug(f"Combined output length: {len(combined_output)}")
_log.debug(f"First 500 chars: {repr(combined_output[:500])}")
_log.debug(f"=== END PLUGIN RAW INPUT ===")
try:
result = HuaweiTracerouteTable.parse_text(combined_output, target, source)
except Exception as exc:
_log.error(f"Failed to parse Huawei traceroute: {exc}")
raise ParsingError(f"Failed to parse Huawei traceroute output: {exc}") from exc
_log.debug(f"=== FINAL STRUCTURED TRACEROUTE RESULT ===")
_log.debug(f"Successfully parsed {len(result.hops)} traceroute hops")
_log.debug(f"Target: {target}, Source: {source}")
for hop in result.hops:
_log.debug(f"Hop {hop.hop_number}: {hop.ip_address or '*'} - RTT: {hop.rtt1 or 'timeout'}")
_log.debug(f"Raw output length: {len(combined_output)} characters")
_log.debug(f"=== END STRUCTURED RESULT ===")
return result
class HuaweiTracerouteTable(TracerouteResult):
"""Huawei traceroute table parser."""
@classmethod
def parse_text(cls, text: str, target: str, source: str) -> TracerouteResult:
"""Parse Huawei traceroute text output into structured data."""
_log = log.bind(parser="HuaweiTracerouteTable")
_log.debug(f"=== RAW HUAWEI TRACEROUTE INPUT ===")
_log.debug(f"Target: {target}, Source: {source}")
_log.debug(f"Raw text length: {len(text)} characters")
_log.debug(f"Raw text:\n{repr(text)}")
_log.debug(f"=== END RAW INPUT ===")
hops = []
lines = text.strip().split("\n")
_log.debug(f"Split into {len(lines)} lines")
# Pattern for normal hop: "1 172.24.165.197 1 ms"
hop_pattern = re.compile(r"^\s*(\d+)\s+(\S+)\s+(\d+(?:\.\d+)?)\s*ms\s*$")
# Pattern for timeout hop: "3 *"
timeout_pattern = re.compile(r"^\s*(\d+)\s+\*\s*$")
for i, line in enumerate(lines):
line = line.strip()
_log.debug(f"Line {i:2d}: {repr(line)}")
if not line:
continue
# Skip header lines
if (
"traceroute to" in line.lower()
or "max hops" in line.lower()
or "press CTRL_C" in line.lower()
):
_log.debug(f"Line {i:2d}: SKIPPING HEADER")
continue
# Try to match normal hop
hop_match = hop_pattern.match(line)
if hop_match:
hop_number = int(hop_match.group(1))
ip_address = hop_match.group(2)
rtt = float(hop_match.group(3))
_log.debug(f"Line {i:2d}: NORMAL HOP - {hop_number}: {ip_address} {rtt}ms")
hops.append(
TracerouteHop(
hop_number=hop_number,
ip_address=ip_address,
display_ip=None, # Huawei doesn't truncate IPs like MikroTik
hostname=None, # Will be populated by IP enrichment
rtt1=rtt,
rtt2=None, # Huawei shows only one RTT per line
rtt3=None,
# MikroTik-specific statistics (populate for consistency)
sent_count=1, # Huawei sends 1 ping per hop
last_rtt=rtt, # Same as the only RTT
best_rtt=rtt, # Same as the only RTT
worst_rtt=rtt, # Same as the only RTT
loss_pct=0, # No loss if we got a response
# BGP enrichment fields (will be populated by enrichment plugin)
asn=None,
org=None,
prefix=None,
country=None,
rir=None,
allocated=None,
)
)
continue
# Try to match timeout hop
timeout_match = timeout_pattern.match(line)
if timeout_match:
hop_number = int(timeout_match.group(1))
_log.debug(f"Line {i:2d}: TIMEOUT HOP - {hop_number}: *")
hops.append(
TracerouteHop(
hop_number=hop_number,
ip_address=None,
display_ip=None,
hostname=None,
rtt1=None,
rtt2=None,
rtt3=None,
# MikroTik-specific statistics for timeout
sent_count=1, # Still sent 1 ping, just timed out
last_rtt=None,
best_rtt=None,
worst_rtt=None,
loss_pct=100, # 100% loss for timeout
# BGP enrichment fields (all None for timeout)
asn=None,
org=None,
prefix=None,
country=None,
rir=None,
allocated=None,
)
)
continue
_log.debug(f"Line {i:2d}: UNMATCHED - skipping")
_log.debug(f"Before cleanup: {len(hops)} hops")
# Clean up consecutive timeout hops at the end
# Keep only the first few timeouts, remove excessive trailing timeouts
if len(hops) > 5:
# Find the last non-timeout hop
last_real_hop = -1
for i in range(len(hops) - 1, -1, -1):
if not hops[i].is_timeout:
last_real_hop = i
break
if last_real_hop >= 0:
# Keep at most 3 timeout hops after the last real hop
max_timeouts = 3
timeout_count = 0
cleaned_hops = hops[: last_real_hop + 1] # Keep all hops up to last real hop
for hop in hops[last_real_hop + 1 :]:
if hop.is_timeout:
timeout_count += 1
if timeout_count <= max_timeouts:
cleaned_hops.append(hop)
else:
_log.debug(f"Removing excessive timeout hop {hop.hop_number}")
else:
# If we find another real hop after timeouts, keep it
cleaned_hops.append(hop)
timeout_count = 0
hops = cleaned_hops
_log.debug(f"After cleanup: {len(hops)} hops")
for hop in hops:
if hop.is_timeout:
_log.debug(f"Final hop {hop.hop_number}: * (timeout)")
else:
_log.debug(f"Final hop {hop.hop_number}: {hop.ip_address} - {hop.rtt1}ms")
_log.info(f"Parsed {len(hops)} hops from Huawei traceroute")
return TracerouteResult(
target=target,
source=source,
hops=hops,
max_hops=64, # Default for Huawei
packet_size=40, # From the header in sample output
raw_output=text,
asn_organizations={},
)
class TraceroutePluginHuawei(OutputPlugin):
"""Parse Huawei traceroute output."""
_hyperglass_builtin: bool = PrivateAttr(True)
platforms: t.Sequence[str] = ("huawei", "huawei_vrpv8")
directives: t.Sequence[str] = ("__hyperglass_huawei_traceroute__",)
common: bool = False
def process(self, output: "OutputType", query: "Query") -> "OutputType":
"""Process Huawei traceroute output."""
# Extract target and source with fallbacks
target = str(query.query_target) if query.query_target else "unknown"
source = "unknown"
if hasattr(query, "device") and query.device:
source = getattr(query.device, "display_name", None) or getattr(
query.device, "name", "unknown"
)
return parse_huawei_traceroute(
output=output,
target=target,
source=source,
)

106
hyperglass/plugins/_builtin/trace_route_mikrotik.py Normal file
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@ -0,0 +1,106 @@
"""Parse MikroTik traceroute output to structured data."""
# Standard Library
import typing as t
# Third Party
from pydantic import PrivateAttr, ValidationError
# Project
from hyperglass.log import log
from hyperglass.exceptions.private import ParsingError
from hyperglass.models.parsing.mikrotik import MikrotikTracerouteTable
# Local
from .._output import OutputPlugin
if t.TYPE_CHECKING:
from hyperglass.models.data import OutputDataModel
from hyperglass.models.api.query import Query
from .._output import OutputType
def _normalize_output(output: t.Union[str, t.Sequence[str]]) -> t.List[str]:
"""Ensure the output is a list of strings."""
if isinstance(output, str):
return [output]
return list(output)
def parse_mikrotik_traceroute(
output: t.Union[str, t.Sequence[str]], target: str, source: str
) -> "OutputDataModel":
"""Parse a MikroTik traceroute text response."""
result = None
out_list = _normalize_output(output)
_log = log.bind(plugin=TraceroutePluginMikrotik.__name__)
combined_output = "\n".join(out_list)
# DEBUG: Log the raw output we're about to parse
_log.debug(f"=== MIKROTIK TRACEROUTE PLUGIN RAW INPUT ===")
_log.debug(f"Target: {target}, Source: {source}")
_log.debug(f"Output pieces: {len(out_list)}")
for i, piece in enumerate(out_list):
_log.debug(f"Output piece {i}: {repr(piece[:200])}...") # Truncate for readability
_log.debug(f"Combined output length: {len(combined_output)}")
# Check if this looks like cleaned or raw output
contains_paging = "-- [Q quit|C-z pause]" in combined_output
contains_multiple_tables = combined_output.count("ADDRESS") > 1
_log.debug(f"Contains paging prompts: {contains_paging}")
_log.debug(f"Contains multiple ADDRESS headers: {contains_multiple_tables}")
_log.debug(f"First 500 chars: {repr(combined_output[:500])}")
_log.debug(f"=== END PLUGIN RAW INPUT ===")
try:
# Pass the entire combined output to the parser at once
validated = MikrotikTracerouteTable.parse_text(combined_output, target, source)
result = validated.traceroute_result()
# Store the CLEANED output (after garbage removal) for "Copy Raw" functionality
# This is the processed output from MikrotikGarbageOutput plugin, not the original raw router output
result.raw_output = combined_output
# DEBUG: Log the final structured result
_log.debug(f"=== FINAL STRUCTURED TRACEROUTE RESULT ===")
_log.debug(f"Successfully parsed {len(validated.hops)} traceroute hops")
_log.debug(f"Target: {result.target}, Source: {result.source}")
for hop in result.hops:
_log.debug(
f"Hop {hop.hop_number}: {hop.ip_address} - Loss: {hop.loss_pct}% - Sent: {hop.sent_count}"
)
_log.debug(f"AS Path: {result.as_path_summary}")
_log.debug(
f"Cleaned raw output length: {len(result.raw_output) if result.raw_output else 0} characters"
)
_log.debug(f"Copy button will show CLEANED output (after MikrotikGarbageOutput processing)")
_log.debug(f"=== END STRUCTURED RESULT ===")
except ValidationError as err:
_log.critical(err)
raise ParsingError(err) from err
except Exception as err:
_log.bind(error=str(err)).critical("Failed to parse MikroTik traceroute output")
raise ParsingError("Error parsing traceroute response data") from err
return result
class TraceroutePluginMikrotik(OutputPlugin):
"""Convert MikroTik traceroute output to structured format."""
_hyperglass_builtin: bool = PrivateAttr(True)
platforms: t.Sequence[str] = ("mikrotik_routeros", "mikrotik_switchos", "mikrotik")
directives: t.Sequence[str] = ("__hyperglass_mikrotik_traceroute__",)
def process(self, *, output: "OutputType", query: "Query") -> "OutputDataModel":
"""Process the MikroTik traceroute output."""
# Extract target from query
target = getattr(query, "target", "unknown")
source = getattr(query, "source", "unknown")
if hasattr(query, "device") and query.device:
source = getattr(query.device, "name", source)
return parse_mikrotik_traceroute(output, target, source)

107
hyperglass/plugins/_builtin/traceroute_ip_enrichment.py Normal file
View file

@ -0,0 +1,107 @@
"""IP enrichment for structured traceroute data."""
# Standard Library
import asyncio
import socket
import typing as t
# Third Party
from pydantic import PrivateAttr
# Project
from hyperglass.log import log
from hyperglass.plugins._output import OutputPlugin
from hyperglass.models.data.traceroute import TracerouteResult
if t.TYPE_CHECKING:
from hyperglass.models.data import OutputDataModel
from hyperglass.models.api.query import Query
class ZTracerouteIpEnrichment(OutputPlugin):
"""Enrich structured traceroute output with IP enrichment ASN/organization data and reverse DNS."""
_hyperglass_builtin: bool = PrivateAttr(True)
platforms: t.Sequence[str] = (
"mikrotik_routeros",
"mikrotik_switchos",
"mikrotik",
"cisco_ios",
"juniper_junos",
"huawei",
"huawei_vrpv8",
)
directives: t.Sequence[str] = ("traceroute", "MikroTik_Traceroute")
common: bool = True
def _reverse_dns_lookup(self, ip: str) -> t.Optional[str]:
"""Perform reverse DNS lookup for an IP address."""
try:
hostname = socket.gethostbyaddr(ip)[0]
log.debug(f"Reverse DNS for {ip}: {hostname}")
return hostname
except (socket.herror, socket.gaierror, socket.timeout) as e:
log.debug(f"Reverse DNS lookup failed for {ip}: {e}")
return None
async def _enrich_async(self, output: TracerouteResult) -> None:
"""Async helper to enrich traceroute data."""
# First enrich with IP information (ASN numbers)
await output.enrich_with_ip_enrichment()
# Then enrich ASN numbers with organization names
await output.enrich_asn_organizations()
def process(self, *, output: "OutputDataModel", query: "Query") -> "OutputDataModel":
"""Enrich structured traceroute data with IP enrichment and reverse DNS information."""
if not isinstance(output, TracerouteResult):
return output
_log = log.bind(plugin=self.__class__.__name__)
_log.debug(f"Starting IP enrichment for {len(output.hops)} traceroute hops")
# Check if IP enrichment is enabled in config
try:
from hyperglass.state import use_state
params = use_state("params")
if not params.structured.ip_enrichment.enabled:
_log.debug("IP enrichment disabled in configuration")
# Still do reverse DNS if enrichment is disabled
for hop in output.hops:
if hop.ip_address and hop.hostname is None:
hop.hostname = self._reverse_dns_lookup(hop.ip_address)
return output
except Exception as e:
_log.debug(f"Could not check IP enrichment config: {e}")
# Use the built-in enrichment method from TracerouteResult
try:
# Run async enrichment in sync context
loop = None
try:
loop = asyncio.get_event_loop()
if loop.is_running():
# If we're already in an event loop, create a new task
import concurrent.futures
with concurrent.futures.ThreadPoolExecutor() as executor:
future = executor.submit(asyncio.run, self._enrich_async(output))
future.result()
else:
loop.run_until_complete(self._enrich_async(output))
except RuntimeError:
# No event loop, create one
asyncio.run(self._enrich_async(output))
_log.debug("IP enrichment completed successfully")
except Exception as e:
_log.error(f"IP enrichment failed: {e}")
# Add reverse DNS lookups for any hops that don't have hostnames
for hop in output.hops:
if hop.ip_address and hop.hostname is None:
hop.hostname = self._reverse_dns_lookup(hop.ip_address)
_log.debug(f"Completed enrichment for traceroute to {output.target}")
return output

18
hyperglass/ui/components/looking-glass-form.tsx
View file

@ -78,10 +78,14 @@ export const LookingGlassForm = (): JSX.Element => {
[],
);
const directive = useMemo<Directive | null>(
() => getDirective(),
[form.queryType, form.queryLocation, getDirective],
);
const directive = useMemo<Directive | null>(() => {
const tmp = getDirective();
if (tmp !== null && tmp.fieldType === null) {
setFormValue('queryTarget', ['null']);
setValue('queryTarget', ['null']);
}
return tmp;
}, [form.queryType, form.queryLocation, getDirective]);
function submitHandler(): void {
if (process.env.NODE_ENV === 'development') {
@ -200,7 +204,11 @@ export const LookingGlassForm = (): JSX.Element => {
<QueryType onChange={handleChange} label={web.text.queryType} />
</FormField>
</SlideFade>
<SlideFade offsetX={100} in={directive !== null} unmountOnExit>
<SlideFade
offsetX={100}
in={directive !== null && directive.fieldType !== null}
unmountOnExit
>
{directive !== null && (
<FormField name="queryTarget" label={web.text.queryTarget}>
<QueryTarget

1
hyperglass/ui/components/output/index.ts
View file

@ -1,2 +1,3 @@
export * from './bgp-table';
export * from './text-output';
export * from './traceroute-table';

59
hyperglass/ui/components/output/traceroute-cell.tsx Normal file
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@ -0,0 +1,59 @@
import { MonoField, ASNField, LatencyField, LossField, HostnameField } from './traceroute-fields';
import type { TracerouteCellRenderProps } from '~/types';
interface TracerouteCellProps {
data: TracerouteCellRenderProps;
rawData: TracerouteResult;
}
export const TracerouteCell = (props: TracerouteCellProps): JSX.Element => {
const { data, rawData } = props;
const cellId = data.column.id as keyof TracerouteHop;
// DEBUG: Log row values to see what's available
console.log('TracerouteCell debug:', {
cellId,
value: data.value,
rowValues: data.row?.values,
rowOriginal: data.row?.original
});
// For IP address field, prefer display_ip if available (for truncated IPv6)
const getIPValue = () => {
if (cellId === 'ip_address') {
const hop = data.row?.original as TracerouteHop | undefined;
if (hop && hop.display_ip) {
return hop.display_ip;
}
if (hop && hop.ip_address) {
return hop.ip_address;
}
}
return data.value;
};
const component = {
hop_number: <MonoField v={data.value} />,
ip_address: <MonoField v={getIPValue()} />,
display_ip: <MonoField v={data.value} />, // For truncated IPv6 display
hostname: <HostnameField hostname={data.value} />,
loss_pct: <LossField loss={data.value} />,
sent_count: <MonoField v={data.value} />,
last_rtt: <LatencyField rtt={data.value} />,
avg_rtt: <LatencyField rtt={data.value} />,
best_rtt: <LatencyField rtt={data.value} />,
worst_rtt: <LatencyField rtt={data.value} />,
asn: <ASNField asn={data.value} org={data.row?.original?.org || data.row?.values?.org} />,
org: null, // Hidden, displayed as part of ASN
prefix: <MonoField v={data.value} />,
country: <MonoField v={data.value} />,
rir: <MonoField v={data.value} />,
allocated: <MonoField v={data.value} />,
rtt1: null, // Not displayed directly in table
rtt2: null, // Not displayed directly in table
rtt3: null, // Not displayed directly in table
};
return component[cellId] ?? <MonoField v={data.value} />;
};

169
hyperglass/ui/components/output/traceroute-fields.tsx Normal file
View file

@ -0,0 +1,169 @@
import { Text, Tooltip, Badge } from '@chakra-ui/react';
import { Else, If, Then } from 'react-if';
import { useColorValue } from '~/hooks';
import type { TextProps } from '@chakra-ui/react';
interface MonoFieldProps extends TextProps {
v: React.ReactNode;
}
interface ASNFieldProps extends TextProps {
asn: string | null;
org: string | null;
}
interface HostnameFieldProps extends TextProps {
hostname: string | null;
}
interface LatencyFieldProps extends TextProps {
rtt: number | null;
}
interface LossFieldProps extends TextProps {
loss: number | null;
}
export const MonoField = (props: MonoFieldProps): JSX.Element => {
const { v, ...rest } = props;
// Handle empty, null, undefined values and timeout indicators
if (v === null || v === undefined || (typeof v === 'string' && (v.trim() === '' || v === 'None'))) {
return (
<Text as="span" fontSize="sm" fontFamily="mono" color="gray.500" {...rest}>
—
</Text>
);
}
return (
<Text as="span" fontSize="sm" fontFamily="mono" {...rest}>
{v}
</Text>
);
};
export const ASNField = (props: ASNFieldProps): JSX.Element => {
const { asn, org, ...rest } = props;
if (!asn || asn === 'None' || asn === 'null') {
return (
<Text as="span" fontSize="sm" color="gray.500" {...rest}>
—
</Text>
);
}
// Display ASN as-is (no prefix added since backend now sends clean format)
const asnDisplay = asn; // Just use the value directly: "12345" or "IXP"
const tooltipLabel = org && org !== 'None' ? `${asnDisplay} - ${org}` : asnDisplay;
return (
<Tooltip hasArrow label={tooltipLabel} placement="top">
<Text
as="span"
fontSize="sm"
fontFamily="mono"
cursor="help"
{...rest}
>
{asnDisplay}
</Text>
</Tooltip>
);
};
export const HostnameField = (props: HostnameFieldProps): JSX.Element => {
const { hostname, ...rest } = props;
if (!hostname || hostname === 'None' || hostname === 'null') {
return (
<Text as="span" fontSize="sm" color="gray.500" {...rest}>
—
</Text>
);
}
return (
<Tooltip hasArrow label={hostname} placement="top">
<Text
as="span"
fontSize="sm"
fontFamily="mono"
noOfLines={1}
maxW="350px"
{...rest}
>
{hostname}
</Text>
</Tooltip>
);
};
export const LatencyField = (props: LatencyFieldProps): JSX.Element => {
const { rtt, ...rest } = props;
if (rtt === null || rtt === undefined) {
return (
<Text as="span" fontSize="sm" color="gray.500" {...rest}>
*
</Text>
);
}
// Color-code latency: green < 50ms, yellow < 200ms, red >= 200ms
const getLatencyColor = (latency: number) => {
if (latency < 50) return 'green.500';
if (latency < 200) return 'yellow.500';
return 'red.500';
};
return (
<Text
as="span"
fontSize="sm"
fontFamily="mono"
color={getLatencyColor(rtt)}
{...rest}
>
{rtt.toFixed(1)}ms
</Text>
);
};
export const LossField = (props: LossFieldProps): JSX.Element => {
const { loss, ...rest } = props;
if (loss === null || loss === undefined) {
return (
<Text as="span" fontSize="sm" color="gray.500" {...rest}>
—
</Text>
);
}
// Color-code loss: green = 0%, yellow < 50%, red >= 50%
const getLossColor = (lossPercent: number) => {
if (lossPercent === 0) return 'green.500';
if (lossPercent < 50) return 'yellow.500';
return 'red.500';
};
const bgColor = useColorValue(
loss === 0 ? 'green.50' : loss < 50 ? 'yellow.50' : 'red.50',
loss === 0 ? 'green.900' : loss < 50 ? 'yellow.900' : 'red.900'
);
return (
<Badge
fontSize="sm"
fontFamily="mono"
variant="solid"
colorScheme={loss === 0 ? 'green' : loss < 50 ? 'yellow' : 'red'}
{...rest}
>
{loss}%
</Badge>
);
};

38
hyperglass/ui/components/output/traceroute-table.tsx Normal file
View file

@ -0,0 +1,38 @@
import { Flex } from '@chakra-ui/react';
import { Table } from '~/components';
import { TracerouteCell } from './traceroute-cell';
import type { FlexProps } from '@chakra-ui/react';
import type { TracerouteTableColumn, TracerouteCellRenderProps } from '~/types';
type TracerouteTableProps = Swap<FlexProps, 'children', TracerouteResult>;
// Column definition for the traceroute table using BGP table structure
// Format: "Hop | IP | HostName (reverse dns) | ASN | Loss | Sent | Last | AVG | BEST | Worst"
const tracerouteColumns: TracerouteTableColumn[] = [
{ Header: 'Hop', accessor: 'hop_number', align: 'center', hidden: false },
{ Header: 'IP Address', accessor: 'ip_address', align: 'left', hidden: false },
{ Header: 'Hostname', accessor: 'hostname', align: 'left', hidden: false },
{ Header: 'ASN', accessor: 'asn', align: 'center', hidden: false },
{ Header: 'Loss', accessor: 'loss_pct', align: 'center', hidden: false },
{ Header: 'Sent', accessor: 'sent_count', align: 'center', hidden: false },
{ Header: 'Last', accessor: 'last_rtt', align: 'right', hidden: false },
{ Header: 'AVG', accessor: 'avg_rtt', align: 'right', hidden: false },
{ Header: 'Best', accessor: 'best_rtt', align: 'right', hidden: false },
{ Header: 'Worst', accessor: 'worst_rtt', align: 'right', hidden: false },
];
export const TracerouteTable = (props: TracerouteTableProps): JSX.Element => {
const { children: data, ...rest } = props;
return (
<Flex my={8} justify="center" maxW="100%" w="100%" {...rest}>
<Table<TracerouteHop>
columns={tracerouteColumns as any}
bordersHorizontal
data={data.hops}
Cell={(d: TracerouteCellRenderProps) => <TracerouteCell data={d} rawData={data} />}
/>
</Flex>
);
};

18
hyperglass/ui/components/path/chart.tsx
View file

@ -1,4 +1,4 @@
import { Badge, Box, Flex, SkeletonText, VStack } from '@chakra-ui/react';
import { Badge, Box, Flex, VStack } from '@chakra-ui/react';
import { useMemo } from 'react';
import ReactFlow, {
Background,
@ -9,14 +9,14 @@ import ReactFlow, {
isEdge,
} from 'reactflow';
import { useConfig } from '~/context';
import { useASNDetail, useColorToken, useColorValue } from '~/hooks';
import { useColorToken, useColorValue } from '~/hooks';
import { Controls } from './controls';
import { useElements } from './use-elements';
import type { NodeProps as ReactFlowNodeProps } from 'reactflow';
interface ChartProps {
data: StructuredResponse;
data: AllStructuredResponses;
}
interface NodeProps<D extends unknown> extends Omit<ReactFlowNodeProps, 'data'> {
@ -70,23 +70,13 @@ const ASNode = (props: NodeProps<NodeData>): JSX.Element => {
const color = useColorValue('black', 'white');
const bg = useColorValue('white', 'whiteAlpha.200');
const { data: asnData, isError, isLoading } = useASNDetail(String(asn));
return (
<>
{hasChildren && <Handle type="source" position={Position.Top} />}
<Box py={2} px={3} bg={bg} minW={32} minH={8} color={color} boxShadow="md" borderRadius="md">
<VStack spacing={2}>
<Flex fontSize="lg">
{isLoading ? (
<Box h={2} w={24}>
<SkeletonText noOfLines={1} color={color} />
</Box>
) : !isError && asnData?.data?.asn.organization?.orgName ? (
asnData.data.asn.organization.orgName
) : (
name
)}
{name}
</Flex>
<Badge fontFamily="mono" fontWeight="normal" fontSize="sm" colorScheme="primary">
{asn}

2
hyperglass/ui/components/path/path.tsx
View file

@ -23,7 +23,7 @@ export const Path = (props: PathProps): JSX.Element => {
const getResponse = useFormState(s => s.response);
const { isOpen, onClose, onOpen } = useDisclosure();
const response = getResponse(device);
const output = response?.output as StructuredResponse;
const output = response?.output as AllStructuredResponses;
const bg = useColorValue('light.50', 'dark.900');
const centered = useBreakpointValue({ base: false, lg: true }) ?? true;
return (

88
hyperglass/ui/components/path/use-elements.ts
View file

@ -15,23 +15,92 @@ type FlowElement<T> = Node<T> | Edge<T>;
const NODE_WIDTH = 128;
const NODE_HEIGHT = 48;
export function useElements(base: BasePath, data: StructuredResponse): FlowElement<NodeData>[] {
export function useElements(base: BasePath, data: AllStructuredResponses): FlowElement<NodeData>[] {
return useMemo(() => {
return [...buildElements(base, data)];
}, [base, data]);
}
/**
* Check if data contains BGP routes
*/
function isBGPData(data: AllStructuredResponses): data is BGPStructuredOutput {
return 'routes' in data && Array.isArray(data.routes);
}
/**
* Check if data contains traceroute hops
*/
function isTracerouteData(data: AllStructuredResponses): data is TracerouteStructuredOutput {
return 'hops' in data && Array.isArray(data.hops);
}
/**
* Calculate the positions for each AS Path.
* @see https://github.com/MrBlenny/react-flow-chart/issues/61
*/
function* buildElements(
base: BasePath,
data: StructuredResponse,
data: AllStructuredResponses,
): Generator<FlowElement<NodeData>> {
const { routes } = data;
// Eliminate empty AS paths & deduplicate non-empty AS paths. Length should be same as count minus empty paths.
const asPaths = routes.filter(r => r.as_path.length !== 0).map(r => [...new Set(r.as_path)]);
let asPaths: string[][] = [];
let asnOrgs: Record<string, { name: string; country: string }> = {};
if (isBGPData(data)) {
// Handle BGP routes with AS paths
const { routes } = data;
asPaths = routes
.filter(r => r.as_path.length !== 0)
.map(r => {
const uniqueAsns = [...new Set(r.as_path.map(asn => String(asn)))];
// Remove the base ASN if it's the first hop to avoid duplication
return uniqueAsns[0] === base.asn ? uniqueAsns.slice(1) : uniqueAsns;
})
.filter(path => path.length > 0); // Remove empty paths
// Get ASN organization mapping if available
asnOrgs = (data as any).asn_organizations || {};
// Debug: Log BGP ASN organization data
if (Object.keys(asnOrgs).length > 0) {
console.debug('BGP ASN organizations loaded:', asnOrgs);
} else {
console.warn('BGP ASN organizations not found or empty');
}
} else if (isTracerouteData(data)) {
// Handle traceroute hops - build AS path from hop ASNs
const hopAsns: string[] = [];
let currentAsn = '';
for (const hop of data.hops) {
if (hop.asn && hop.asn !== 'None' && hop.asn !== currentAsn) {
currentAsn = hop.asn;
hopAsns.push(hop.asn);
}
}
if (hopAsns.length > 0) {
// Remove the base ASN if it's the first hop to avoid duplication
const filteredAsns = hopAsns[0] === base.asn ? hopAsns.slice(1) : hopAsns;
if (filteredAsns.length > 0) {
asPaths = [filteredAsns];
}
}
// Get ASN organization mapping if available
asnOrgs = (data as any).asn_organizations || {};
// Debug: Log traceroute ASN organization data
if (Object.keys(asnOrgs).length > 0) {
console.debug('Traceroute ASN organizations loaded:', asnOrgs);
} else {
console.warn('Traceroute ASN organizations not found or empty');
}
}
if (asPaths.length === 0) {
return;
}
const totalPaths = asPaths.length - 1;
@ -95,7 +164,12 @@ function* buildElements(
id: base.asn,
type: 'ASNode',
position: { x, y },
data: { asn: base.asn, name: base.name, hasChildren: true, hasParents: false },
data: {
asn: base.asn,
name: asnOrgs[base.asn]?.name || base.name,
hasChildren: true,
hasParents: false
},
};
for (const [groupIdx, pathGroup] of asPaths.entries()) {
@ -114,7 +188,7 @@ function* buildElements(
position: { x, y },
data: {
asn: `${asn}`,
name: `AS${asn}`,
name: asn === 'IXP' ? 'IXP' : asnOrgs[asn]?.name || (asn === '0' ? 'Private/Unknown' : `AS${asn}`),
hasChildren: idx < endIdx,
hasParents: true,
},

16
hyperglass/ui/components/results/individual.tsx
View file

@ -16,7 +16,7 @@ import startCase from 'lodash/startCase';
import { forwardRef, memo, useEffect, useMemo, useState } from 'react';
import isEqual from 'react-fast-compare';
import { Else, If, Then } from 'react-if';
import { BGPTable, Path, TextOutput } from '~/components';
import { BGPTable, TracerouteTable, Path, TextOutput } from '~/components';
import { useConfig } from '~/context';
import { Countdown, DynamicIcon } from '~/elements';
import {
@ -28,7 +28,7 @@ import {
useStrf,
useTableToString,
} from '~/hooks';
import { isStringOutput, isStructuredOutput } from '~/types';
import { isStringOutput, isStructuredOutput, isBGPStructuredOutput, isTracerouteStructuredOutput } from '~/types';
import { CopyButton } from './copy-button';
import { FormattedError } from './formatted-error';
import { isFetchError, isLGError, isLGOutputOrError, isStackError } from './guards';
@ -153,9 +153,15 @@ const _Result: React.ForwardRefRenderFunction<HTMLDivElement, ResultProps> = (
let copyValue = data?.output as string;
// Always create formatData hook for both BGP and Traceroute outputs
const formatData = useTableToString(form.queryTarget, data, [data?.format]);
const isBGPData = isBGPStructuredOutput(data);
const isTracerouteData = isTracerouteStructuredOutput(data);
if (data?.format === 'application/json') {
if (data?.format === 'application/json' && isBGPData) {
copyValue = formatData();
} else if (data?.format === 'application/json' && isTracerouteData) {
// For structured traceroute, use formatted table output for copy functionality
copyValue = formatData();
}
@ -244,8 +250,10 @@ const _Result: React.ForwardRefRenderFunction<HTMLDivElement, ResultProps> = (
<Flex direction="column" flex="1 0 auto" maxW={error ? '100%' : undefined}>
<If condition={!isError && typeof data !== 'undefined'}>
<Then>
{isStructuredOutput(data) && data.level === 'success' && tableComponent ? (
{isBGPStructuredOutput(data) && data.level === 'success' && tableComponent ? (
<BGPTable>{data.output}</BGPTable>
) : isTracerouteStructuredOutput(data) && data.level === 'success' && tableComponent ? (
<TracerouteTable>{data.output}</TracerouteTable>
) : isStringOutput(data) && data.level === 'success' && !tableComponent ? (
<TextOutput>{data.output}</TextOutput>
) : isStringOutput(data) && data.level !== 'success' ? (

23
hyperglass/ui/components/table/main.tsx
View file

@ -16,19 +16,19 @@ import { PageSelect } from './page-select';
import type { TableOptions, PluginHook } from 'react-table';
import type { Theme, TableColumn, CellRenderProps } from '~/types';
interface TableProps {
data: Route[];
interface TableProps<T = Route> {
data: T[];
striped?: boolean;
columns: TableColumn[];
columns: TableColumn[] | any[]; // Allow more flexible column types
heading?: React.ReactNode;
bordersVertical?: boolean;
bordersHorizontal?: boolean;
Cell?: React.FC<CellRenderProps>;
rowHighlightProp?: keyof Route;
Cell?: React.FC<any>; // More flexible cell render props
rowHighlightProp?: keyof T;
rowHighlightBg?: Theme.ColorNames;
}
export const Table = (props: TableProps): JSX.Element => {
export const Table = <T = Route>(props: TableProps<T>): JSX.Element => {
const {
data,
columns,
@ -61,12 +61,15 @@ export const Table = (props: TableProps): JSX.Element => {
columns,
defaultColumn,
data,
initialState: { hiddenColumns },
} as TableOptions<Route>;
initialState: {
hiddenColumns,
pageSize: 50 // Default to 50 rows instead of default 10
},
} as TableOptions<T>;
const plugins = [useSortBy, usePagination] as PluginHook<Route>[];
const plugins = [useSortBy, usePagination] as PluginHook<T>[];
const instance = useTable<Route>(options, ...plugins);
const instance = useTable<T>(options, ...plugins);
const {
page,

39
hyperglass/ui/hooks/use-asn-detail.ts
View file

@ -16,29 +16,38 @@ interface ASNQuery {
};
}
const query: QueryFunction<ASNQuery, string[]> = async (ctx: QueryFunctionContext) => {
const asn = ctx.queryKey;
const res = await fetch('https://api.asrank.caida.org/v2/graphql', {
mode: 'cors',
method: 'POST',
headers: { 'content-type': 'application/json' },
/* eslint no-useless-escape: 0 */
body: JSON.stringify({ query: `{ asn(asn:\"${asn}\"){ organization { orgName } } }` }),
});
return await res.json();
};
// Disabled - we now get org names from our own IP enrichment system
// const query: QueryFunction<ASNQuery, string[]> = async (ctx: QueryFunctionContext) => {
// const asn = ctx.queryKey;
// const res = await fetch('https://api.asrank.caida.org/v2/graphql', {
// mode: 'cors',
// method: 'POST',
// headers: { 'content-type': 'application/json' },
// /* eslint no-useless-escape: 0 */
// body: JSON.stringify({ query: `{ asn(asn:\"${asn}\"){ organization { orgName } } }` }),
// });
// return await res.json();
// };
/**
* Query the Caida AS Rank API to get an ASN's organization name for the AS Path component.
* @see https://api.asrank.caida.org/v2/docs
* Stub function - we no longer need external CAIDA calls since we have ASN org data
* from our IP enrichment system. This hook is kept for compatibility but returns empty data.
* @deprecated Use as_path_data from traceroute response instead of external CAIDA calls
*/
export function useASNDetail(asn: string): QueryObserverResult<ASNQuery> {
return useQuery<ASNQuery, unknown, ASNQuery, string[]>({
queryKey: [asn],
queryFn: query,
queryFn: async () => ({
data: {
asn: {
organization: null, // No external fetch - org data comes from IP enrichment
}
}
}),
refetchOnWindowFocus: false,
refetchInterval: false,
refetchInterval: false,
refetchOnMount: false,
cacheTime: Infinity,
enabled: false, // Disable the query entirely
});
}

153
hyperglass/ui/hooks/use-table-to-string.ts
View file

@ -3,7 +3,7 @@ import dayjs from 'dayjs';
import relativeTimePlugin from 'dayjs/plugin/relativeTime';
import utcPlugin from 'dayjs/plugin/utc';
import { useConfig } from '~/context';
import { isStructuredOutput } from '~/types';
import { isStructuredOutput, isBGPStructuredOutput, isTracerouteStructuredOutput } from '~/types';
type TableToStringFormatter =
| ((v: string) => string)
@ -93,35 +93,136 @@ export function useTableToString(
let result = messages.noOutput;
try {
if (typeof data !== 'undefined' && isStructuredOutput(data)) {
const tableStringParts = [
`Routes For: ${target.join(', ')}`,
`Timestamp: ${data.timestamp} UTC`,
];
for (const route of data.output.routes) {
for (const field of parsedDataFields) {
const [header, accessor, align] = field;
if (align !== null) {
let value = route[accessor];
// Handle fields that should be hidden when empty/not available
if ((accessor === 'source_rid' || accessor === 'age') &&
(value === null || value === undefined ||
(typeof value === 'string' && value.trim() === '') ||
(accessor === 'age' && value === -1))) {
continue; // Skip this field entirely
}
const fmtFunc = getFmtFunc(accessor) as (v: typeof value) => string;
value = fmtFunc(value);
if (accessor === 'prefix') {
tableStringParts.push(` - ${header}: ${value}`);
} else {
tableStringParts.push(` - ${header}: ${value}`);
// Handle BGP data
if (isBGPStructuredOutput(data)) {
// Check if this is BGP data with routes
if (!('routes' in data.output) || !Array.isArray(data.output.routes)) {
return messages.noOutput; // Not BGP data, return early
}
const tableStringParts = [
`Routes For: ${target.join(', ')}`,
`Timestamp: ${data.timestamp} UTC`,
];
for (const route of data.output.routes) {
for (const field of parsedDataFields) {
const [header, accessor, align] = field;
if (align !== null) {
let value = route[accessor];
// Handle fields that should be hidden when empty/not available
if ((accessor === 'source_rid' || accessor === 'age') &&
(value === null || value === undefined ||
(typeof value === 'string' && value.trim() === '') ||
(accessor === 'age' && value === -1))) {
continue; // Skip this field entirely
}
const fmtFunc = getFmtFunc(accessor) as (v: typeof value) => string;
value = fmtFunc(value);
if (accessor === 'prefix') {
tableStringParts.push(` - ${header}: ${value}`);
} else {
tableStringParts.push(` - ${header}: ${value}`);
}
}
}
}
result = tableStringParts.join('\n');
}
// Handle Traceroute data
else if (isTracerouteStructuredOutput(data)) {
if (!('hops' in data.output) || !Array.isArray(data.output.hops)) {
return messages.noOutput; // Not traceroute data, return early
}
const formatRTT = (rtt: number | null | undefined): string => {
if (rtt === null || rtt === undefined) return '*';
return `${rtt.toFixed(1)}ms`;
};
const formatIP = (hop: any): string => {
if (hop.display_ip) return hop.display_ip; // For truncated IPv6
if (hop.ip_address) return hop.ip_address;
return '*';
};
const formatASN = (hop: any): string => {
if (hop.asn) return `AS${hop.asn}`;
return '*';
};
const formatHostname = (hop: any): string => {
if (hop.hostname && hop.hostname !== 'None' && hop.hostname !== 'null') return hop.hostname;
return '*';
};
// Create a nicely formatted text table with proper column alignment
const header = `Traceroute to ${data.output.target} from ${data.output.source}`;
const timestamp = `Timestamp: ${data.timestamp} UTC`;
const separator = '=' .repeat(header.length);
// Calculate optimal column widths by examining all data
const columnWidths = {
hop: Math.max(3, ...data.output.hops.map(h => h.hop_number.toString().length)),
ip: Math.max(10, ...data.output.hops.map(h => formatIP(h).length)),
hostname: Math.max(8, ...data.output.hops.map(h => formatHostname(h).length)),
asn: Math.max(3, ...data.output.hops.map(h => formatASN(h).length)),
loss: 4, // "100%" is max
sent: Math.max(4, ...data.output.hops.map(h => (h.sent_count || 0).toString().length)),
last: Math.max(4, ...data.output.hops.map(h => formatRTT(h.last_rtt).length)),
avg: Math.max(3, ...data.output.hops.map(h => formatRTT(h.avg_rtt).length)),
best: Math.max(4, ...data.output.hops.map(h => formatRTT(h.best_rtt).length)),
worst: Math.max(5, ...data.output.hops.map(h => formatRTT(h.worst_rtt).length)),
};
// Create header row with proper spacing
const headerRow = [
'Hop'.padEnd(columnWidths.hop),
'IP Address'.padEnd(columnWidths.ip),
'Hostname'.padEnd(columnWidths.hostname),
'ASN'.padEnd(columnWidths.asn),
'Loss'.padEnd(columnWidths.loss),
'Sent'.padEnd(columnWidths.sent),
'Last'.padEnd(columnWidths.last),
'AVG'.padEnd(columnWidths.avg),
'Best'.padEnd(columnWidths.best),
'Worst'
].join(' ');
const totalWidth = headerRow.length;
const tableLines = [
header,
timestamp,
separator,
'',
headerRow,
'-'.repeat(totalWidth),
];
// Format data rows with consistent column widths
for (const hop of data.output.hops) {
const row = [
hop.hop_number.toString().padEnd(columnWidths.hop),
formatIP(hop).padEnd(columnWidths.ip),
formatHostname(hop).padEnd(columnWidths.hostname),
formatASN(hop).padEnd(columnWidths.asn),
`${hop.loss_pct || 0}%`.padEnd(columnWidths.loss),
(hop.sent_count || 0).toString().padEnd(columnWidths.sent),
formatRTT(hop.last_rtt).padEnd(columnWidths.last),
formatRTT(hop.avg_rtt).padEnd(columnWidths.avg),
formatRTT(hop.best_rtt).padEnd(columnWidths.best),
formatRTT(hop.worst_rtt)
].join(' ');
tableLines.push(row);
}
result = tableLines.join('\n');
}
result = tableStringParts.join('\n');
}
return result;
} catch (err) {

47
hyperglass/ui/types/globals.d.ts vendored
View file

@ -32,7 +32,40 @@ export declare global {
rpki_state: RPKIState;
};
type TracerouteHop = {
hop_number: number;
ip_address: string | null;
display_ip: string | null;
hostname: string | null;
rtt1: number | null;
rtt2: number | null;
rtt3: number | null;
loss_pct: number | null;
sent_count: number | null;
last_rtt: number | null;
avg_rtt: number | null;
best_rtt: number | null;
worst_rtt: number | null;
asn: string | null;
org: string | null;
prefix: string | null;
country: string | null;
rir: string | null;
allocated: string | null;
};
type TracerouteResult = {
target: string;
source: string;
hops: TracerouteHop[];
max_hops: number;
packet_size: number;
raw_output: string | null;
};
type RouteField = { [K in keyof Route]: Route[K] };
type TracerouteHopField = { [K in keyof TracerouteHop]: TracerouteHop[K] };
type StructuredResponse = {
vrf: string;
@ -41,6 +74,20 @@ export declare global {
winning_weight: 'high' | 'low';
};
type TracerouteStructuredOutput = {
vrf: string;
target: string;
source: string;
hops: TracerouteHop[];
max_hops: number;
packet_size: number;
raw_output: string | null;
};
type BGPStructuredOutput = StructuredResponse;
type AllStructuredResponses = BGPStructuredOutput | TracerouteStructuredOutput;
type QueryResponse = {
random: string;
cached: boolean;

8
hyperglass/ui/types/guards.ts
View file

@ -19,6 +19,14 @@ export function isStructuredOutput(data: unknown): data is StringTableData {
return isObject(data) && 'output' in data;
}
export function isBGPStructuredOutput(data: unknown): data is StringTableData & { output: StructuredResponse } {
return isStructuredOutput(data) && isObject((data as StringTableData).output) && 'routes' in (data as StringTableData).output;
}
export function isTracerouteStructuredOutput(data: unknown): data is StringTableData & { output: TracerouteResult } {
return isStructuredOutput(data) && isObject((data as StringTableData).output) && 'hops' in (data as StringTableData).output;
}
export function isStringOutput(data: unknown): data is StringQueryResponse {
return (
isObject(data) && 'output' in data && typeof (data as { output: unknown }).output === 'string'

13
hyperglass/ui/types/table.ts
View file

@ -7,8 +7,21 @@ export interface TableColumn {
hidden: boolean;
}
export interface TracerouteTableColumn {
Header: string;
accessor: keyof TracerouteHop;
align: string;
hidden: boolean;
}
export type CellRenderProps = {
column: CellProps<RouteField>['column'];
row: CellProps<RouteField>['row'];
value: CellProps<RouteField>['value'];
};
export type TracerouteCellRenderProps = {
column: CellProps<TracerouteHopField>['column'];
row: CellProps<TracerouteHopField>['row'];
value: CellProps<TracerouteHopField>['value'];
};