feat: Add configurable detection thresholds for anomaly detection

[nik-kale]

Summary

This PR introduces configurable thresholds for anomaly detection, allowing users to tune AutoRCA-Core for their specific environment. Different systems have different baselines, and this feature enables customization without code changes.

Changes

• Created autorca_core/config.py with ThresholdConfig dataclass
• Added support for environment variable configuration
• Updated GraphBuilder to use configurable thresholds for:
  • Error spike detection (count and time window)
  • Latency spike detection (threshold and count)
  • Resource exhaustion detection (percentage and count)
• Updated apply_rules to use configurable correlation windows
• Added preset configurations: strict() and relaxed()
• Updated all RCA functions to accept optional thresholds parameter
• Exported ThresholdConfig from package __init__.py

Type of Change

• New feature (non-breaking change adding functionality)

Testing

Tested with default, strict, and relaxed configurations. All thresholds can be customized via:

1. Constructor parameters
2. Environment variables (AUTORCA_*)
3. Preset configurations

Checklist

• Code follows project style guidelines
• Self-review completed
• No new warnings introduced
• All hardcoded thresholds replaced with configurable values

Related Issues

Implements Feature #4 from feature roadmap

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