geo-aid 0.4.0

A tool designed to generate geometrical figures based on given rules.
Documentation 
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import subprocess
import os
from pathlib import Path
from typing import List, Tuple
import csv
import time

# First, we run all tests through Geo-AID to their respective directories.
tests = []
for file in os.scandir("tests"):
     if file.is_file():
        print(f"Rendering {file.name}")
        
        path = Path(file.path)
        output = os.path.join("reports", path.stem)
        tests.append(path.stem)

        os.makedirs(output, exist_ok=True)

        proc = subprocess.Popen([
            "cargo", "run", "--release", "--",
            file.path, os.path.join(output, "result.svg"),
            "-l", os.path.join(output, "log.log"),
            "-r", "svg"
        ])
        proc.communicate()
        proc.wait()

records = [
    ["Name", "Result", "Previous quality", "New quality", "Delta", "Previous time", "New time", "Delta"]
]
total_quality_old = 0
total_quality_new = 0

total_time_old = 0
total_time_new = 0

for name in tests:
    dir = os.path.abspath(os.path.join("reports", name))

    if os.path.exists(os.path.join(dir, "log-pre.log")):
        with open(os.path.join(dir, "log-pre.log")) as fp:
            lines = fp.readlines()
            # print(lines)
            
            old_quality = float(lines[1].strip())
            old_time = float(lines[2].strip())
    else:
        old_quality = 0
        old_time = 0

    total_quality_old += old_quality
    total_time_old += old_time

    with open(os.path.join(dir, "log.log")) as fp:
        lines = fp.readlines()
        # print(lines)
        
        if lines[0].strip() == "0":
            new_result = "ok"
            new_quality = float(lines[1].strip())
            new_time = float(lines[2].strip())
            total_time_new += new_time
            total_quality_new += new_quality

            # Replace the old file with the new one
            with open(os.path.join(dir, "log-pre.log"), "w+") as fp2:
                fp2.writelines(lines)
        else:
            new_result = "error"
            new_quality = 0
            new_time = 0
            total_time_new += old_time
            total_quality_new += old_quality

    records.append([name, new_result, old_quality, new_quality, new_quality - old_quality, old_time, new_time, new_time - old_time])


with open(os.path.join("reports", "report.csv"), "w+", newline='') as csvfile:
    writer = csv.writer(csvfile)
    writer.writerows(records)
    testcount = len(tests)
    writer.writerow([
        "average",
        "-",
        total_quality_old / testcount,
        total_quality_new / testcount,
        (total_quality_new - total_quality_old) / testcount,
        total_time_old / testcount,
        total_time_new / testcount,
        (total_time_new - total_time_old) / testcount
    ])