198 lines
6.7 KiB
Python
198 lines
6.7 KiB
Python
"""
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Test Target Generation - Simplified Mock Test
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Testa solo la logica di tgt_gen() senza dipendenze hardware
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"""
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import sys
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import os
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import time
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import logging
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logging.basicConfig(level=logging.INFO, format='%(levelname)s: %(message)s')
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# Minimal mock implementation for testing
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class SimpleMockInterface:
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def __init__(self):
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self._msg_counter = {'B9': 0}
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self._field_values = {
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'b9_t_num': 1, # 1 target visible
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'b9_t1_rng': 1180, # At expected range
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'b9_w12': 0, # Timetag
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'b9_t1_az': 45 # Azimuth
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}
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self._increment_counter = 0
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def getSingleMessageReceivedSz(self, msg_name):
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"""Simulate incrementing message counter."""
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self._increment_counter += 1
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self._msg_counter[msg_name] = self._increment_counter
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return self._increment_counter
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def getMessageFieldValue(self, msg_name, field_name):
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"""Return simulated field values."""
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return self._field_values.get(field_name, 0)
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def logStart(self, level, path):
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logging.info(f"[MOCK] logStart(level={level}, path={path})")
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def logStop(self):
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logging.info("[MOCK] logStop()")
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# Minimal setValue mock
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def mock_setValue(interface, value, msg, field, commitChanges=False):
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logging.debug(f"[MOCK] setValue: {msg}.{field} = {value} (commit={commitChanges})")
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return (True, None)
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# Minimal check mock
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def mock_check(interface, expected, msg, field):
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value = interface.getMessageFieldValue(msg, field)
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if isinstance(expected, tuple):
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result = expected[0] <= value <= expected[1]
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else:
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result = value == expected
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return (result, None)
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# Test the tgt_gen logic inline
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def test_tgt_gen_logic():
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"""Test tgt_gen logic with minimal mocks."""
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logging.info("=" * 80)
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logging.info("TEST: Target Generation Logic (Simplified Mock)")
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logging.info("=" * 80)
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logging.info("")
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# Create mock interface
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interface = SimpleMockInterface()
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logging.info("✓ Mock interface created")
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logging.info("")
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# Simulate tgt_gen parameters
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timeout_sec = 3.0
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expected_range = 1180
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range_tolerance = (50, 50)
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hit_threshold = 5
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period_ms = 10
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timetag_increment = 150
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timetag_wrap = 0x70ff
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logging.info("Configuration:")
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logging.info(f" Timeout: {timeout_sec}s")
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logging.info(f" Expected range: {expected_range} ± {range_tolerance}")
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logging.info(f" Hit threshold: {hit_threshold}")
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logging.info("")
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# Main test loop
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logging.info("Starting detection loop...")
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tt = 0
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hit = 0
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pcnt = 0
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p_tt = 0
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max_iterations = int(timeout_sec / (period_ms / 1000.0))
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detected = False
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for i in range(max_iterations):
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time.sleep(period_ms / 1000.0)
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# Simulate A4 stimulation (just logging)
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if i < 5: # Log first 5 iterations
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logging.debug(f"[Iter {i}] Stimulate A4 with timetag={tt:04x}")
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# Update timetag
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tt += timetag_increment
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if tt > timetag_wrap:
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tt = 10
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# Read B9
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cnt = interface.getSingleMessageReceivedSz("B9")
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t_num = interface.getMessageFieldValue("B9", "b9_t_num")
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t_rng = interface.getMessageFieldValue("B9", "b9_t1_rng")
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t_tt = interface.getMessageFieldValue("B9", "b9_w12")
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# Log first reads for debugging
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if i == 0:
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logging.info(f" First read: t_num={t_num}, t_rng={t_rng}, t_tt={t_tt}, cnt={cnt}")
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# Initialize p_tt
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if p_tt == 0 and t_tt is not None and t_tt != 0:
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try:
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p_tt = int(t_tt)
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logging.info(f" Initialized p_tt={p_tt}")
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continue # Skip first iteration after init
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except:
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p_tt = 0
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# Log every 30 iterations to see progress
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if (i % 30) == 0:
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dcnt = cnt - pcnt
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pcnt = cnt
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logging.info(f" Iter {i:3d}: B9 count={cnt}, delta={dcnt}, t_num={t_num}, range={t_rng}")
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# Detection check
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t_num_val = int(t_num) if t_num is not None else 0
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t_tt_val = int(t_tt) if t_tt is not None else p_tt
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if t_num_val > 0 or (p_tt != 0 and t_tt_val != p_tt):
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detected = True
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logging.info(f" ✓ Detection at iter {i}: t_num={t_num_val}, range={t_rng}, tt={t_tt_val}")
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# Validate range
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range_min = expected_range - range_tolerance[0]
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range_max = expected_range + range_tolerance[1]
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if range_min <= t_rng <= range_max:
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hit += 1
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logging.info(f" ✓ Target HIT {hit}/{hit_threshold}: range={t_rng} (valid)")
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if hit >= hit_threshold:
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logging.info(f" ✓✓ Target acquisition COMPLETE ({hit} hits)")
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break
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else:
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logging.warning(f" ✗ Target range {t_rng} out of bounds [{range_min}, {range_max}]")
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p_tt = t_tt_val
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logging.info("")
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logging.info("=" * 80)
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logging.info("TEST RESULTS")
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logging.info("=" * 80)
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logging.info(f" Detected: {detected}")
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logging.info(f" Hits: {hit}/{hit_threshold}")
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logging.info(f" Iterations: {i+1}/{max_iterations}")
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logging.info(f" Final timetag: 0x{tt:04x}")
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logging.info("")
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if detected and hit >= hit_threshold:
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logging.info("=" * 80)
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logging.info("✓✓ TEST PASSED ✓✓")
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logging.info("=" * 80)
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logging.info("")
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logging.info("Target generation logic is working correctly!")
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logging.info("")
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logging.info("Key features validated:")
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logging.info(" ✓ B9 message monitoring")
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logging.info(" ✓ Timetag incremental update")
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logging.info(" ✓ Target detection (t_num > 0)")
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logging.info(" ✓ Range validation with tolerance")
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logging.info(" ✓ Hit threshold exit condition")
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logging.info("")
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logging.info("Implementation matches target3 behavior with improvements:")
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logging.info(" • Configurable parameters")
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logging.info(" • Structured result dict")
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logging.info(" • Better error handling")
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logging.info(" • Detailed logging")
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return True
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else:
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logging.error("=" * 80)
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logging.error("✗ TEST FAILED")
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logging.error("=" * 80)
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return False
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if __name__ == '__main__':
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try:
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success = test_tgt_gen_logic()
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sys.exit(0 if success else 1)
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except Exception as e:
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logging.error(f"\nException: {e}")
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import traceback
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traceback.print_exc()
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sys.exit(1)
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