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generate_configs_r2c.py
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TEMPLATE = """
{
"cache_dir": "./cache-r2c/<<DATASET>>-<<SEED>>",
"gold_standard_configuration": {
"path": "./datasets/req2code/<<DATASET>>/answer.csv",
"hasHeader": "false"
},
"source_artifact_provider" : {
"name" : "text",
"args" : {
"artifact_type" : "requirement",
"path" : "./datasets/req2code/<<DATASET>>/UC"
}
},
<<<TARGET_ARTIFACT_PROVIDER>>>
"source_preprocessor" : {
"name" : "<<SOURCE_PREPROCESSOR>>",
"args" : {}
},
"target_preprocessor" : {
"name" : "<<TARGET_PREPROCESSOR>>",
"args" : <<TARGET_PREPROCESSOR_ARGS>>
},
"embedding_creator" : {
"name" : "openai",
"args" : {
"model": "text-embedding-3-large"
}
},
"source_store" : {
"name" : "custom",
"args" : { }
},
"target_store" : {
"name" : "custom",
"args" : {
"max_results" : "20"
}
},
"classifier" : {
"name" : "<<CLASSIFIER_MODE>>",
"args" : {
<<ARGS>>
}
},
"result_aggregator" : {
"name" : "any_connection",
"args" : {}
},
"tracelinkid_postprocessor" : {
"name" : "<<POSTPROCESSOR>>",
"args" : {}
}
}
"""
other_target_provider = """
"target_artifact_provider" : {
"name" : "text",
"args" : {
"artifact_type" : "source code",
"path" : "./datasets/req2code/<<DATASET>>/CC"
}
},
"""
dronology_target_provider = """
"target_artifact_provider" : {
"name" : "recursive_text",
"args" : {
"artifact_type" : "source code",
"path" : "./datasets/req2code/<<DATASET>>/CC",
"extensions": "java"
}
},
"""
# Configurations
datasets = ["SMOS", "eTour_en", "iTrust", "dronology-re", "dronology-dd", "eANCI"]
postprocessors = ["req2code", "req2code", "req2code", "identity", "identity", "identity"]
artifact_providers = [other_target_provider, other_target_provider, other_target_provider, dronology_target_provider, dronology_target_provider, other_target_provider]
source_preprocessors = ["artifact"] #, "sentence", "sentence"]
target_preprocessors = ["artifact"] #, "code_chunking", "code_method"]
target_preprocessors_arguments = ["{}"] #,'{"chunk_size": "200", "language": "JAVA" }','{"language": "JAVA"}']
classifier_modes = ["simple", "reasoning"]
gpt_models = ["gpt-4o-mini-2024-07-18", "gpt-4o-2024-05-13"]
blablador_models = ["1 - Llama3 405 on WestAI with 4b quantization"]
seeds = ["133742243"]
import os
for seed in seeds:
os.makedirs("./configs/req2code", exist_ok=True)
# Generate
gpt_args = [("\"model\": \"<<CLASSIFIER_MODEL>>\", \"seed\": \""+seed+"\"").replace("<<CLASSIFIER_MODEL>>", model) for model in gpt_models]
blablador_args = [("\"model\": \"<<CLASSIFIER_MODEL>>\", \"seed\": \""+seed+"\"").replace("<<CLASSIFIER_MODEL>>", model) for model in blablador_models]
for source_pre, target_pre, target_pre_args in zip(source_preprocessors, target_preprocessors, target_preprocessors_arguments):
for dataset, postprocessor, artifact_provider in zip(datasets, postprocessors, artifact_providers):
for classifier_mode in classifier_modes:
for gpt_model, gpt_arg in zip(gpt_models, gpt_args):
with open(f"./configs/req2code/{dataset}_{seed}_{source_pre}_{target_pre}_{classifier_mode}_gpt_{gpt_model}.json", "w") as f:
f.write(TEMPLATE.replace("<<<TARGET_ARTIFACT_PROVIDER>>>", artifact_provider).replace("<<SEED>>", seed).replace("<<DATASET>>", dataset).replace("<<CLASSIFIER_MODE>>", classifier_mode+"_openai").replace("<<ARGS>>", gpt_arg).replace("<<POSTPROCESSOR>>", postprocessor).replace("<<SOURCE_PREPROCESSOR>>", source_pre).replace("<<TARGET_PREPROCESSOR>>", target_pre).replace("<<TARGET_PREPROCESSOR_ARGS>>", target_pre_args))
for blablador_model, blablador_arg in zip(blablador_models, blablador_args):
with open(f"./configs/req2code/{dataset}_{seed}_{source_pre}_{target_pre}_{classifier_mode}_blablador_{blablador_model}.json", "w") as f:
f.write(TEMPLATE.replace("<<<TARGET_ARTIFACT_PROVIDER>>>", artifact_provider).replace("<<SEED>>", seed).replace("<<DATASET>>", dataset).replace("<<CLASSIFIER_MODE>>", classifier_mode+"_blablador").replace("<<ARGS>>", blablador_arg).replace("<<POSTPROCESSOR>>", postprocessor).replace("<<SOURCE_PREPROCESSOR>>", source_pre).replace("<<TARGET_PREPROCESSOR>>", target_pre).replace("<<TARGET_PREPROCESSOR_ARGS>>", target_pre_args))