File size: 7,779 Bytes
358dd8b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 | import json
import os
import signal
import subprocess
import tempfile
import threading
import time
import psutil
import resource
from func_timeout import FunctionTimedOut, func_timeout # type: ignore
from loguru import logger
from utils.proof_utils import get_error_msg
from .config import settings
base = settings.WORKSPACE
path_to_repl = f"{base}/repl/.lake/build/bin/repl"
path_to_mathlib = f"{base}/mathlib4"
# error for lean crashes
class LeanCrashError(Exception):
pass
class LeanREPL:
def __init__(self):
# Start the REPL process
self.error_file = tempfile.TemporaryFile(
"w+",
)
self.start_process()
# Create a lock for thread safety
self.lock = threading.Lock()
self.header = None
self.psutil_process = None
self.children_processes = []
self.run_command_total = 0
def _send_command(self, command):
"""
Send a JSON command to the REPL and return the JSON response.
"""
with self.lock:
try:
self.run_command_total += 1
# Convert the command to JSON and add two newlines
json_command = json.dumps(command, ensure_ascii=False) + "\n\n"
# Send the command to the REPL
time_elapsed = time.time()
self.process.stdin.write(json_command)
self.process.stdin.flush()
# Read the response until a blank line is encountered
response_lines = []
stderr_lines = []
while True:
# Read from both stdout and stderr
stdout_line = self.process.stdout.readline()
if stdout_line.strip() == "":
break
if stdout_line:
response_lines.append(stdout_line)
except BrokenPipeError:
raise LeanCrashError("Lean process broken pipe error")
# Combine the response lines and parse the JSON
response_str = "".join(response_lines)
time_elapsed = time.time() - time_elapsed
try:
response_json = json.loads(response_str)
except json.JSONDecodeError as e:
logger.error("Error decoding JSON:", e)
logger.error("Response received:", response_str)
response_json = {
"messages": [
{
"severity": "error",
"data": "error decoding json response in leanrepl",
}
]
}
error_content = self.get_error_content()
if len(error_content.strip()) > 0:
logger.error("Error from stderr: %s", error_content)
raise LeanCrashError(
f"Lean process encountered an error: {error_content}"
)
response_json["time"] = time_elapsed
return response_json
def one_pass_verify(self, code, timeout, infotree_type=None):
"""
Send code to verify in one pass.
"""
if infotree_type is None:
command = {"cmd": code, "gc": True}
else:
command = {"cmd": code, "infotree": infotree_type, "gc": True}
try:
response = func_timeout(timeout, self._send_command, args=(command,))
except FunctionTimedOut:
raise LeanCrashError("Lean process timed out")
return response
def create_env(self, code, timeout=150):
"""
Send code to create a new context.
"""
command = {"cmd": code}
try:
response = func_timeout(timeout, self._send_command, args=(command,))
except FunctionTimedOut:
raise LeanCrashError("Lean process timed out")
if get_error_msg(response) is None:
self.header = code
return response
def extend_env(self, context_id, code, timeout=150, infotree_type=None):
"""
Send code to extend a context.
"""
if infotree_type is None:
command = {"cmd": code, "env": context_id, "gc": True}
else:
command = {"cmd": code, "env": context_id, "infotree": infotree_type, "gc": True}
try:
response = func_timeout(timeout, self._send_command, args=(command,))
except FunctionTimedOut:
raise LeanCrashError("Lean process timed out")
return response
def start_process(self):
def preexec_fn():
if settings.HARD_ENFORCE_MEMORY_LIMIT:
soft_limit = settings.REPL_MEMORY_LIMIT_GB * 1024 * 1024 * 1024
hard_limit = soft_limit
resource.setrlimit(resource.RLIMIT_AS, (soft_limit, hard_limit))
os.setsid()
self.process = subprocess.Popen(
["lake", "env", path_to_repl],
stdin=subprocess.PIPE,
stdout=subprocess.PIPE,
stderr=self.error_file,
text=True,
bufsize=1, # Line-buffered
cwd=path_to_mathlib, # Set the working directory to 'mathlib4'
env=os.environ, # Inherit environment variables
preexec_fn=preexec_fn,
)
def get_error_content(self):
# Ensure that we seek back to the beginning of the file before reading
if self.error_file is None:
logger.debug("Error file is None")
self.error_file.seek(0)
return self.error_file.read()
def close(self):
"""
Terminate the REPL process and all its child processes.
"""
try:
# stop input to repl (which will result in the program loop for lean repl terminating)
self.process.stdin.close()
os.killpg(os.getpgid(self.process.pid), signal.SIGKILL)
except ProcessLookupError:
# Process already terminated
pass
finally:
# Wait for the process to exit
self.process.wait()
def __del__(self):
self.close()
def exceeds_memory_limit(self, limit_gb):
"""
Check if the REPL process exceeds the given memory limit.
Returns True if memory usage exceeds limit, False otherwise.
"""
if self.psutil_process is None:
self.psutil_process = psutil.Process(self.process.pid)
if self.psutil_process is not None:
try:
memory_usage = self.psutil_process.memory_info().rss
try:
if not self.children_processes:
self.children_processes = self.psutil_process.children()
if self.children_processes:
child_memory = sum(child.memory_info().rss for child in self.children_processes)
total_memory = memory_usage + child_memory
else:
total_memory = memory_usage
except Exception as e:
logger.error(f"Error getting child processes: {e}")
total_memory = memory_usage
logger.debug(f"REPL pid {self.process.pid} using {total_memory/1024/1024/1024:.2f}GB")
return total_memory > limit_gb * 1024 * 1024 * 1024, total_memory
except (psutil.NoSuchProcess, psutil.AccessDenied) as e:
logger.error(f"Error accessing process: {e}")
return False
except Exception as e:
logger.error(f"Error checking memory: {e}")
return False
return False
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