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