JOJ/JOJ3-config-generator
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chore: cleanup

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张泊明518370910136 2024-10-20 18:02:46 -04:00
parent 9660ece52d
commit 2d095c2c44
Signed by: 张泊明518370910136
GPG Key ID: D47306D7062CDA9D
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joj3_config_generator/matlab_defs.py
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import json
from typing import Any
import yaml
def matlab_json_init() -> dict[str, Any]:
output_json: dict[str, Any] = {
"sandboxExecServer": "172.17.0.1:5051",
"outputPath": "/tmp/joj3_result.json", # nosec
"stages": [],
}
healthcheck_json = {
"name": "healthcheck",
"executor": {
"name": "sandbox",
"with": {
"default": {
"args": [
"./healthcheck",
"-root=.",
"-meta=readme",
"-whitelist=stderr",
"-whitelist=stdout",
"-whitelist=.*\\.toml",
"-whitelist=.*\\.md",
"-whitelist=healthcheck",
"-whitelist=.*\\.json",
"-whitelist=.git.*",
],
"env": ["PATH=/usr/bin:/bin"],
"cpuLimit": 10000000000,
"memoryLimit": 104857600,
"procLimit": 50,
"copyInDir": ".",
"copyIn": {
"healthcheck": {
"src": "./../../../../../../build/healthcheck",
"copyOut": ["stdout", "stderr"],
}
},
"stdin": {"content": ""},
"stdout": {"name": "stdout", "max": 4096},
"stderr": {"name": "stderr", "max": 4096},
}
},
},
"parser": {
"name": "healthcheck",
"with": {"score": 10, "comment": " + comment from json conf"},
},
}
run_json = {
"name": "run",
"executor": {
"name": "sandbox",
"with": {
"default": {
"args": [""],
"env": ["PATH=/usr/bin:/bin"],
"cpuLimit": 20000000000,
"memoryLimit": 104857600,
"clockLimit": 40000000000,
"procLimit": 50,
"copyOut": ["stdout", "stderr"],
"stdout": {"name": "stdout", "max": 4096},
"stderr": {"name": "stderr", "max": 4096},
# matlab don't need this
# "copyInCached": {
# "a": "a"
# }
},
"cases": [],
},
},
"parser": {"name": "diff", "with": {"cases": []}},
}
output_json["stages"].append(healthcheck_json)
output_json["stages"].append(run_json)
return output_json
def get_cases(output_json: dict[str, Any], yaml_data: dict[str, Any]) -> dict[str, Any]:
for case in yaml_data["cases"]:
print(yaml_data["cases"])
input_entry = {"stdin": {"src": case["input"]}}
output_entry = {
"outputs": {
"score": 100,
"fileName": "stdout",
"answerPath": case["output"],
}
}
output_json["stages"][1]["executor"]["with"]["cases"].append(input_entry)
output_json["stages"][1]["parser"]["with"]["cases"].append(output_entry)
return output_json
# Function to merge YAML content into the JSON structure
def yaml_to_custom_json(yaml_file: str, json_file: str) -> None:
# Load YAML data from the input file
with open(yaml_file) as f:
yaml_data = yaml.safe_load(f)
# Define the base JSON structure as per your example
output_json = matlab_json_init()
# memory limit migration
memory_str = yaml_data["default"]["memory"]
memory_limit = int(memory_str[:-1]) * 1024 * 1024
output_json["stages"][0]["executor"]["with"]["default"][
"memoryLimit"
] = memory_limit
# time limit migration
time_str = yaml_data["default"]["time"]
cpu_limit = int(time_str[:-1]) * 1000000000
clock_limit = 2 * cpu_limit
output_json["stages"][1]["executor"]["with"]["default"]["cpuLimit"] = cpu_limit
output_json["stages"][1]["executor"]["with"]["default"]["clockLimit"] = clock_limit
# test cases migration
# testcases input migration
# # testcases output migration
output_json = get_cases(output_json, yaml_data)
# execution args migration
args = "octave " + assignment_name + ".m"
output_json["stages"][1]["executor"]["with"]["default"]["args"] = args.split()
# Write the output JSON to the specified file
with open(json_file, "w") as f:
json.dump(output_json, f, indent=2)
# i/p of files
yaml_file = "./ex4/config.yaml"
json_file = "./output.json"
assignment_name = "ex4"
yaml_to_custom_json(yaml_file, json_file)
print(f"YAML content has been successfully converted to JSON and saved to {json_file}")