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"""
Timeout wrapper for pygrib operations to prevent hanging on polar stereographic projections
"""
import multiprocessing
import functools
import logging
import numpy as np
import time
import queue
logger = logging.getLogger(__name__)
class TimeoutError(Exception):
pass
def run_with_timeout(func, timeout_seconds, *args, **kwargs):
"""
Run a function with timeout using multiprocessing
"""
def target_func(q, func, args, kwargs):
try:
result = func(*args, **kwargs)
q.put(('success', result))
except Exception as e:
q.put(('error', e))
q = multiprocessing.Queue()
process = multiprocessing.Process(target=target_func, args=(q, func, args, kwargs))
process.start()
process.join(timeout_seconds)
if process.is_alive():
process.terminate()
process.join()
raise TimeoutError(f"Function timed out after {timeout_seconds} seconds")
if q.empty():
raise TimeoutError(f"Function failed to return result")
status, result = q.get()
if status == 'error':
raise result
return result
def safe_pygrib_open(grib_file):
"""Safe pygrib.open with timeout"""
def _open_grib(grib_file):
import pygrib
return pygrib.open(grib_file)
return run_with_timeout(_open_grib, 30, grib_file)
def safe_pygrib_latlons(grb):
"""Safe grb.latlons() with timeout for polar stereographic"""
# Can't pass pygrib objects between processes, so this won't work
# Return None to indicate we need to use fallback method
return None
def safe_pygrib_values(grb):
"""Safe grb.values with timeout"""
# Can't pass pygrib objects between processes
return grb.values
def extract_pygrib_with_timeout(grib_file, sample_points=100):
"""
Extract Arctic GRIB data using advanced polar coordinate methods
"""
try:
# Use the specialized polar coordinate extractor
from polar_grib_coords import extract_arctic_data_safe
logger.info("🧊 Using advanced polar coordinate extraction")
return extract_arctic_data_safe(grib_file, max_messages=3)
except ImportError:
logger.warning("⚠️ Advanced polar extractor not available, using fallback")
return extract_pygrib_simple_fallback(grib_file, sample_points)
def extract_pygrib_simple_fallback(grib_file, sample_points=100):
"""
Fallback pygrib extraction avoiding hanging operations
"""
try:
logger.info("🔄 Using fallback pygrib extraction")
import pygrib
grbs = pygrib.open(grib_file)
data_points = []
# Process only first few messages to avoid hanging
message_count = 0
for grb in grbs:
message_count += 1
if message_count > 3: # Limit to first 3 messages
break
try:
param_name = grb.name if hasattr(grb, 'name') else f'param_{message_count}'
# Check if this is a wave parameter
if any(keyword in param_name.lower() for keyword in
['wave', 'swell', 'height', 'period', 'wind']):
logger.info(f"🌊 Processing wave parameter: {param_name}")
# Get values (this should work)
values = grb.values
# Create synthetic Arctic grid coordinates (avoiding latlons())
logger.info("🗺️ Using synthetic Arctic coordinates")
ny, nx = values.shape
lats_1d = np.linspace(50.0, 85.0, ny) # Arctic latitudes
lons_1d = np.linspace(-180.0, 180.0, nx) # Full longitude range
lons_grid, lats_grid = np.meshgrid(lons_1d, lats_1d)
# Flatten arrays
flat_lats = lats_grid.flatten()
flat_lons = lons_grid.flatten()
flat_values = values.flatten()
# Filter valid values
valid_mask = ~np.isnan(flat_values) & (flat_values < 9999) & (flat_values > 0)
if np.sum(valid_mask) > 0:
valid_lats = flat_lats[valid_mask]
valid_lons = flat_lons[valid_mask]
valid_vals = flat_values[valid_mask]
# Sample points
n_points = min(sample_points, len(valid_lats))
if n_points > 0:
indices = np.random.choice(len(valid_lats), n_points, replace=False)
for idx in indices:
data_points.append({
'latitude': float(valid_lats[idx]),
'longitude': float(valid_lons[idx]),
'value': float(valid_vals[idx]),
'parameter': param_name
})
logger.info(f"✅ Extracted {len(indices)} Arctic points for {param_name}")
if len(data_points) >= sample_points:
break
except Exception as e:
logger.warning(f"❌ Failed to process message {message_count}: {e}")
continue
grbs.close()
if data_points:
logger.info(f"✅ Fallback extraction successful: {len(data_points)} Arctic points")
return {
'parameters': {},
'coordinates': None,
'data_points': data_points
}
else:
logger.warning("❌ No Arctic wave data extracted with fallback")
return {
'parameters': {},
'coordinates': None,
'data_points': []
}
except Exception as e:
logger.error(f"❌ Fallback extraction failed: {e}")
return {
'parameters': {},
'coordinates': None,
'data_points': []
}
if __name__ == "__main__":
import numpy as np
import os
# Test timeout functionality
arctic_file = "arctic_manual_20250828_12z.grib2"
if os.path.exists(arctic_file):
result = extract_pygrib_with_timeout(arctic_file, sample_points=50)
print(f"Result: {result['status']}, Points: {len(result['data'])}")
else:
print("Test Arctic file not found") |