m.giller/mash-sensor-tof-pc
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This commit is contained in:
Maximilian Giller 2022-04-27 22:39:59 +02:00
parent 47197f653d
commit 6f3ecdece9
1 changed files with 37 additions and 6 deletions
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43
statistics/statistics.py
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@ -1,6 +1,7 @@
from datetime import datetime
import json
from typing import Dict
from xmlrpc.client import Boolean
import matplotlib.pyplot as plt
@ -15,7 +16,8 @@ with open(FILE_PATH, "r") as file:
def parse_log_entry(entry: Dict) -> Dict:
if entry["countChange"] == 0:
# Only keep last record of a sequence
if not is_last_in_sequence(entry):
return False
entry["dateTime"] = datetime.strptime(
@ -26,13 +28,31 @@ def parse_log_entry(entry: Dict) -> Dict:
return entry
def is_last_in_sequence(entry: Dict) -> Boolean:
indoor = entry["directionState"]["indoor"]
outdoor = entry["directionState"]["outdoor"]
if len(indoor) <= 0 or len(outdoor) <= 0:
return False
end_key = "end_distance"
# Check version
if end_key not in indoor[-1]:
end_key = "end"
if indoor[-1][end_key] is None or outdoor[-1][end_key] is None:
return False
return True
# Collect
log = [json.loads(line.strip("\x00")) for line in content]
print("Number of entries:", len(log))
print("Number of total entries:", len(log))
# Parse & Filter
log = [parse_log_entry(entry) for entry in log if parse_log_entry(entry)]
print("Number of counts:", len(log))
print("Number of filtered entries:", len(log))
# Render
fig, ax = plt.subplots() # Create a figure containing a single axes.
@ -40,6 +60,17 @@ times: list[datetime] = [entry["dateTime"] for entry in log]
counts: list[int] = [entry["previousPeopleCount"] for entry in log]
ax.step(times, counts, where="pre")
plt.show()
print("-"*20)
# Print stats
walk_ins = [entry for entry in log if entry["countChange"] > 0]
walk_outs = [entry for entry in log if entry["countChange"] < 0]
walk_unders = [entry for entry in log if entry["countChange"] == 0]
print("Number of walk-ins:", len(walk_ins))
print("Number of walk-outs:", len(walk_outs))
print("Number of walk-unders:", len(walk_unders))
print("-"*20)
# Calculate faults
for c, n in zip(list(range(len(log))), list(range(len(log)))[1:]):
@ -52,7 +83,7 @@ for c, n in zip(list(range(len(log))), list(range(len(log)))[1:]):
log = log[:-1]
fault_count = sum(1 for entry in log if entry["faulty"])
print("Number of faults:", fault_count)
print("Percentage of faults:", fault_count / len(log) * 100)
print("Percentage of faults:", fault_count / len(log) * 100, "%")
print("-"*20)
faulty_off = [entry for entry in log if entry["faulty"]
@ -61,5 +92,5 @@ faulty_on = [entry for entry in log if entry["faulty"]
and entry["faultyCount"] != 0]
print("Number of false-0:", len(faulty_off))
print("Number of false-1:", len(faulty_on))
print("Percentage of false-0:", len(faulty_off) / fault_count * 100)
print("Percentage of false-1:", len(faulty_on) / fault_count * 100)
print("Percentage of false-0:", len(faulty_off) / fault_count * 100, "%")
print("Percentage of false-1:", len(faulty_on) / fault_count * 100, "%")