mirror of
https://github.com/Z3Prover/z3
synced 2025-04-04 16:44:07 +00:00
150 lines
6 KiB
TypeScript
150 lines
6 KiB
TypeScript
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script({
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title: "Invoke LLM completion for code snippets",
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})
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import * as fs from 'fs';
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import * as path from 'path';
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async function runCodePrompt(role, message, code) {
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const answer = await runPrompt(
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(_) => {
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_.def("ROLE", role);
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_.def("REQUEST", message);
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_.def("CODE", code);
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_.$`Your role is <ROLE>.
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The request is given by <REQUEST>
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original code snippet:
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<CODE>.`
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}
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)
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console.log(answer.text);
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return answer.text;
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}
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async function invokeLLMCompletion(code, prefix) {
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let role = `You are a highly experienced compiler engineer with over 20 years of expertise,
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specializing in C and C++ programming. Your deep knowledge of best coding practices
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and software engineering principles enables you to produce robust, efficient, and
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maintainable code in any scenario.`;
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let userMessage = `Please complete the provided C/C++ code to ensure it is compilable and executable.
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Return only the fully modified code while preserving the original logic.
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Add any necessary stubs, infer data types, and make essential changes to enable
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successful compilation and execution. Avoid unnecessary code additions.
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Ensure the final code is robust, secure, and adheres to best practices.`;
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return runCodePrompt(role, userMessage, code);
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}
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async function invokeLLMAnalyzer(code, inputFilename, funcName) {
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// Define the llm role
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let role =
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`You are a highly experienced compiler engineer with over 20 years of expertise,
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specializing in C and C++ programming. Your deep knowledge of best coding practices
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and software engineering principles enables you to produce robust, efficient, and
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maintainable code in any scenario.`;
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// Define the message to send
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let userMessage =
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`Please analyze the provided C/C++ code and identify any potential issues, bugs, or opportunities for performance improvement. For each observation:
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- Clearly describe the issue or inefficiency.
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- Explain the reasoning behind the problem or performance bottleneck.
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- Suggest specific code changes or optimizations, including code examples where applicable.
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- Ensure recommendations follow best practices for efficiency, maintainability, and correctness.
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At the end of the analysis, provide a detailed report in **Markdown format** summarizing:
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1. **Identified Issues and Their Impact:**
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- Description of each issue and its potential consequences.
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2. **Suggested Fixes (with Code Examples):**
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- Detailed code snippets showing the recommended improvements.
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3. **Performance Improvement Recommendations:**
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- Explanation of optimizations and their expected benefits.
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4. **Additional Insights or Best Practices:**
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- Suggestions to further enhance the code's quality and maintainability.`;
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return runCodePrompt(role, userMessage, code);
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}
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async function createGitUpdateRequest(src_directory : string, filename : string, modifiedCode : string) {
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// extract relative path from filename after slice_directory, extract function and source file name.
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// Relative path: code_slices\ast\sls\orig_sls_smt_solver.cpp_updt_params.cpp file name: orig_sls_smt.cpp
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const regex = /code_slices\\(.*)\\([^_]*)_(.*)\.cpp_(.*)\.cpp/;
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const match = filename.match(regex);
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if (!match) {
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console.log(`Filename does not match expected pattern: ${filename}`);
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return "";
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}
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const [_, relative_path, prefix, fileName, funcName] = match;
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console.log(`Relative path: ${relative_path} file name: ${fileName}.cpp`);
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const srcFilePath = path.join(src_directory, relative_path, fileName + ".cpp");
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const srcFileContent = await workspace.readText(srcFilePath);
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let role =
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`You are a highly experienced compiler engineer with over 20 years of expertise,
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specializing in C and C++ programming. Your deep knowledge of best coding practices
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and software engineering principles enables you to produce robust, efficient, and
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maintainable code in any scenario.`;
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const answer = await runPrompt(
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(_) => {
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_.def("ROLE", role);
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_.def("SOURCE", srcFileContent);
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_.def("REVIEW", modifiedCode);
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_.def("FUNCTION", funcName);
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_.$`Your role is <ROLE>.
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Please create a well-formed git patch based on the source code given in
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<SOURCE>
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A code analysis is for the method or function <FUNCTION>.
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The analysis is he following:
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<REVIEW>`
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}
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)
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console.log(answer.text);
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return answer.text;
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}
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const input_directory = "code_slices";
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const output_directory = "code_slices_analyzed";
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const src_directory = "src";
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const code_slice_files = await workspace.findFiles("code_slices/**/*.cpp");
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let count = 0;
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for (const file of code_slice_files) {
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if (path.extname(file.filename) === '.cpp') {
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console.log(`Processing file: ${file.filename}`);
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const regex = /(.*)_(.*)\.cpp_(.*)\.cpp/;
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const match = file.filename.match(regex);
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if (!match) {
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console.log(`Filename does not match expected pattern: ${file.filename}`);
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continue;
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}
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const [_, prefix, fileName, funcName] = match;
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const content = file.content;
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const answer1 = await invokeLLMCompletion(content, fileName);
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const answer2 = await invokeLLMAnalyzer(answer1, fileName, funcName);
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const outputFilePath = path.join(output_directory, fileName + "_" + funcName + ".md");
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await workspace.writeText(outputFilePath, answer2);
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const answer3 = await createGitUpdateRequest(src_directory, file.filename, answer2);
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const outputFilePath2 = path.join(output_directory, fileName + "_" + funcName + ".patch");
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await workspace.writeText(outputFilePath2, answer3);
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++count;
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if (count > 3)
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break;
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}
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}
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