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contingency_protocols.py
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267 lines (215 loc) · 8.67 KB
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"""
HANERMA Contingency Protocols - Production Failure Handling
This module provides standardized responses for the three critical failure scenarios:
1. Rust Compilation Failure
2. Context Cut-Off
3. Integration Mismatch
Each contingency has a specific protocol to follow exactly.
"""
import sys
import subprocess
import json
from typing import Optional, Dict, Any
class ContingencyHandler:
"""Handles production contingencies with exact protocol responses."""
def __init__(self):
self.last_error = None
self.last_line = None
self.python_state = None
self.rust_signature = None
def handle_rust_compilation_failure(self, error_output: str) -> str:
"""
Contingency 1: Rust Compilation Failure
If maturin fails to build Rust core, analyze the exact error and provide
targeted fix without rewriting entire files.
"""
self.last_error = error_output
# Extract key error patterns
error_lines = error_output.split('\n')
key_errors = []
for line in error_lines:
if any(keyword in line for keyword in [
'error[E', 'borrow checker', 'PyO3', 'lifetime',
'tokio', 'threading', 'mismatch', 'expected', 'found'
]):
key_errors.append(line.strip())
return f"""The Rust compilation failed with error above. Do not rewrite entire file. Analyze the borrow-checker or PyO3 lifetime error, explain exactly why it failed, and output ONLY the patched Rust function that fixes it. Maintain Zero-Fluff mandate.
Key errors detected:
{chr(10).join(key_errors[:5])}
Focus on the specific function or struct that's failing and provide the minimal fix."""
def handle_context_cut_off(self, last_line: str) -> str:
"""
Contingency 2: Context Cut-Off
If AI stops generating code mid-sentence due to token limit,
resume from exact line without explanation.
"""
self.last_line = last_line
return f"""You hit the output token limit. DO NOT apologize or explain. Resume outputting code snippet starting EXACTLY from the line: {last_line}"""
def handle_integration_mismatch(self, python_state: str, rust_signature: str) -> str:
"""
Contingency 3: Integration Mismatch
If Python and Rust data formats don't match, provide exact bridge code.
"""
self.python_state = python_state
self.rust_signature = rust_signature
return f"""We have a Type bridging error between Python and Rust. The Python state is sending {python_state}, but the Rust PyO3 signature expects {rust_signature}. Write the exact serialization/deserialization patch needed in lib.rs to bridge these formats natively without slowing down execution."""
def detect_failure_type(self, error_output: str) -> Optional[str]:
"""
Auto-detect the type of failure from error output.
"""
if "error[E" in error_output and ("borrow" in error_output or "lifetime" in error_output):
return "rust_compilation"
elif "token limit" in error_output.lower() or "cut off" in error_output.lower():
return "context_cutoff"
elif "type" in error_output.lower() and "mismatch" in error_output.lower():
return "integration_mismatch"
return None
def execute_contingency(self, failure_type: str, **kwargs) -> str:
"""
Execute the appropriate contingency response.
"""
if failure_type == "rust_compilation":
return self.handle_rust_compilation_failure(kwargs.get('error_output', ''))
elif failure_type == "context_cutoff":
return self.handle_context_cut_off(kwargs.get('last_line', ''))
elif failure_type == "integration_mismatch":
return self.handle_integration_mismatch(
kwargs.get('python_state', ''),
kwargs.get('rust_signature', '')
)
else:
return "Unknown failure type. Please specify rust_compilation, context_cutoff, or integration_mismatch."
def monitor_rust_build(self) -> Dict[str, Any]:
"""
Monitor Rust build process and detect failures.
"""
try:
result = subprocess.run(
['maturin', 'build', '--release'],
capture_output=True,
text=True,
timeout=300
)
if result.returncode != 0:
failure_type = self.detect_failure_type(result.stderr)
return {
'success': False,
'failure_type': failure_type,
'error_output': result.stderr,
'contingency_response': self.execute_contingency(
failure_type,
error_output=result.stderr
) if failure_type else None
}
return {'success': True}
except subprocess.TimeoutExpired:
return {
'success': False,
'failure_type': 'timeout',
'error_output': 'Build timed out after 5 minutes'
}
except Exception as e:
return {
'success': False,
'failure_type': 'unknown',
'error_output': str(e)
}
def create_rust_hotfix_template(self, error_type: str, error_details: str) -> str:
"""
Create a template for Rust hotfixes based on error type.
"""
templates = {
'borrow_checker': '''
// Fix for borrow checker error
#[allow(dead_code)]
fn fixed_function() -> Result<(), Box<dyn std::error::Error>> {
// Clone instead of borrow to fix lifetime issues
let data = get_data().clone();
process_data(data)
}
''',
'pyo3_lifetime': '''
// Fix for PyO3 lifetime error
use pyo3::prelude::*;
use pyo3::types::PyDict;
#[pyclass]
struct FixedStruct {
#[pyo3(get, set)]
data: Py<PyDict>,
}
#[pymethods]
impl FixedStruct {
#[new]
fn new() -> Self {
Self {
data: Py::new(PyDict::new()),
}
}
}
''',
'tokio_threading': '''
// Fix for tokio threading mismatch
use tokio::runtime::Runtime;
#[pyfunction]
fn fixed_async_function() -> PyResult<String> {
let rt = Runtime::new()?;
rt.block_on(async_function())
}
async fn async_function() -> String {
"Fixed async result".to_string()
}
'''
}
return templates.get(error_type, '// No template available for this error type')
def log_contingency_usage(self, failure_type: str, details: str):
"""
Log contingency usage for debugging.
"""
log_entry = {
'timestamp': str(subprocess.check_output(['date'], text=True).strip()),
'failure_type': failure_type,
'details': details,
'contingency_applied': True
}
try:
with open('contingency_log.json', 'a') as f:
f.write(json.dumps(log_entry) + '\n')
except:
pass # Silent failure for logging
# Global contingency handler instance
contingency = ContingencyHandler()
def apply_rust_contingency(error_output: str) -> str:
"""
Apply Rust compilation contingency.
Usage:
response = apply_rust_contingency(error_output)
print(response) # Send to AI
"""
return contingency.handle_rust_compilation_failure(error_output)
def resume_context_cut_off(last_line: str) -> str:
"""
Resume from context cut-off.
Usage:
response = resume_context_cut_off(last_line_written)
print(response) # Send to AI
"""
return contingency.handle_context_cut_off(last_line)
def fix_integration_mismatch(python_state: str, rust_signature: str) -> str:
"""
Fix integration mismatch between Python and Rust.
Usage:
response = fix_integration_mismatch(python_output, rust_function_signature)
print(response) # Send to AI
"""
return contingency.handle_integration_mismatch(python_state, rust_signature)
# Quick access functions for emergency use
def rust_failed(error: str) -> str:
"""Quick access for Rust compilation failure."""
return apply_rust_contingency(error)
def context_cut(last_line: str) -> str:
"""Quick access for context cut-off."""
return resume_context_cut_off(last_line)
def type_mismatch(python_output: str, rust_sig: str) -> str:
"""Quick access for type mismatch."""
return fix_integration_mismatch(python_output, rust_sig)
print("[CONTINGENCY] Protocols loaded - Ready for production failures")