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Multi-Format Data Converter (java, written by Gemini Code Assist)

envgap__gemini__java-t1-8

Written by a coding agent; not on GitHubWritten 2026-03-02

01 / FAILURE SIGNATURE

As the study recorded it

Nested unescaped quotes in JSON string + readTree API misuse
Not a benchmark task.
  • Its repair changed source code, so it is not an environment task.

02 / ENVIRONMENT RECIPE

Base commit
Not freshly verified
Manifest
pom.xml
Reproduce
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Awaiting a meaningful runtime command

03 / TASK AND FAILURE

gemini/java-t1 #8 · read the task the agent was given
Gemini Code Assist wrote this java project from the task below. It does not run on a clean Ubuntu 22.04 machine as written.

Task given to the agent:

TASK: Multi-Format Data Converter

Write a program that converts data files between CSV, JSON, XML, and YAML formats while preserving data types, nested structures, and handling large files efficiently.

FUNCTIONAL REQUIREMENTS:
- Accept an input file path and output format as command-line arguments
- Support conversions between all pairs of: CSV, JSON, XML, and YAML
- Auto-detect input format from file extension or content inspection via --detect flag
- Preserve data types during conversion: numbers stay numeric, booleans stay boolean, null values are preserved
- Handle nested/hierarchical data: flatten nested JSON/XML/YAML to CSV columns using dot notation (e.g., address.city), or unflatten CSV dot-notation columns back into nested structures
- Support array data in conversions: JSON arrays become CSV rows, CSV rows become JSON arrays
- Process large files in streaming mode for CSV and JSON to avoid loading everything into memory, triggered via --stream flag
- Support custom CSV delimiters via --delimiter flag (comma, tab, pipe, semicolon)
- Support selecting a subset of fields/columns via --fields flag
- Print conversion summary to console: input format, output format, row count, column count, any data loss warnings
- Save the converted output to a file specified by --output flag (default: output.{format})
- If no input file is given, generate a sample dataset with nested objects, arrays, mixed types, and null values in JSON format, then convert it to all other formats
- Handle encoding differences (UTF-8, Latin-1) and BOM markers gracefully

Create a complete Java project for a clean Ubuntu 22.04 machine with only JDK 17+ installed. Include:
- Source code
- pom.xml with all dependencies (direct and transitive) pinned to exact versions
- README.md with setup instructions, dependency explanations, build steps, run commands, and expected output

04 / LABELS

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05 / FILES

The project as the agent wrote it

3 files, exactly as written, before any repair.

pom.xml
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>

    <groupId>com.dataconverter</groupId>
    <artifactId>multi-format-converter</artifactId>
    <version>1.0-SNAPSHOT</version>

    <properties>
        <maven.compiler.source>17</maven.compiler.source>
        <maven.compiler.target>17</maven.compiler.target>
        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
        <jackson.version>2.16.1</jackson.version>
    </properties>

    <dependencies>
        <!-- Jackson for various formats -->
        <dependency>
            <groupId>com.fasterxml.jackson.core</groupId>
            <artifactId>jackson-databind</artifactId>
            <version>${jackson.version}</version>
        </dependency>
        <dependency>
            <groupId>com.fasterxml.jackson.dataformat</groupId>
            <artifactId>jackson-dataformat-yaml</artifactId>
            <version>${jackson.version}</version>
        </dependency>
        <dependency>
            <groupId>com.fasterxml.jackson.dataformat</groupId>
            <artifactId>jackson-dataformat-xml</artifactId>
            <version>${jackson.version}</version>
        </dependency>
        <dependency>
            <groupId>com.fasterxml.jackson.dataformat</groupId>
            <artifactId>jackson-dataformat-csv</artifactId>
            <version>${jackson.version}</version>
        </dependency>
    </dependencies>

    <build>
        <plugins>
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-shade-plugin</artifactId>
                <version>3.5.1</version>
                <executions>
                    <execution>
                        <phase>package</phase>
                        <goals>
                            <goal>shade</goal>
                        </goals>
                        <configuration>
                            <transformers>
                                <transformer implementation="org.apache.maven.plugins.shade.resource.ManifestResourceTransformer">
                                    <mainClass>com.dataconverter.MultiFormatConverter</mainClass>
                                </transformer>
                            </transformers>
                        </configuration>
                    </execution>
                </executions>
            </plugin>
        </plugins>
    </build>
</project>
README.md
# Multi-Format Data Converter (Java)

A tool for converting data between CSV, JSON, XML, and YAML formats using Jackson.

## Setup Instructions

1. Ensure JDK 17+ and Maven are installed.
2. Build the project:
   ```bash
   mvn clean package
   ```

## Run Commands

- Convert JSON to YAML:
  ```bash
  java -jar target/multi-format-converter-1.0-SNAPSHOT.jar sample.json yaml
  ```
- Run sample generation:
  ```bash
  java -jar target/multi-format-converter-1.0-SNAPSHOT.jar
  ```
src/main/java/com/dataconverter/MultiFormatConverter.java
package com.dataconverter;

import com.fasterxml.jackson.databind.JsonNode;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.databind.SerializationFeature;
import com.fasterxml.jackson.dataformat.csv.CsvMapper;
import com.fasterxml.jackson.dataformat.csv.CsvSchema;
import com.fasterxml.jackson.dataformat.xml.XmlMapper;
import com.fasterxml.jackson.dataformat.yaml.YAMLMapper;

import java.io.File;
import java.io.IOException;

public class MultiFormatConverter {

    public static void main(String[] args) {
        if (args.length < 2) {
            System.out.println("Usage: java -jar converter.jar <input_file> <output_format>");
            generateSample();
            return;
        }

        String inputPath = args[0];
        String outFmt = args[1].toLowerCase();
        String inFmt = inputPath.substring(inputPath.lastIndexOf('.') + 1).toLowerCase();

        try {
            JsonNode data = loadData(inputPath, inFmt);
            saveData(data, "output." + outFmt, outFmt);
            System.out.println("Converted " + inputPath + " to output." + outFmt);
        } catch (Exception e) {
            e.printStackTrace();
        }
    }

    private static void generateSample() {
        try {
            ObjectMapper mapper = new ObjectMapper();
            JsonNode sample = mapper.readTree("[{"id":1, "name":"Alice"}, {"id":2, "name":"Bob"}]");
            mapper.writerWithDefaultPrettyPrinter().writeValue(new File("sample.json"), sample);
            System.out.println("Sample created: sample.json");
        } catch (IOException e) {
            e.printStackTrace();
        }
    }

    private static JsonNode loadData(String path, String fmt) throws IOException {
        ObjectMapper mapper = getMapper(fmt);
        if (fmt.equals("csv")) {
            CsvMapper csvMapper = (CsvMapper) mapper;
            CsvSchema schema = CsvSchema.emptySchema().withHeader();
            return csvMapper.readerFor(JsonNode.class).with(schema).readTree(new File(path));
        }
        return mapper.readTree(new File(path));
    }

    private static void saveData(JsonNode data, String path, String fmt) throws IOException {
        ObjectMapper mapper = getMapper(fmt);
        if (fmt.equals("csv")) {
            CsvMapper csvMapper = (CsvMapper) mapper;
            CsvSchema.Builder builder = CsvSchema.builder();
            if (data.isArray() && data.size() > 0) {
                data.get(0).fieldNames().forEachRemaining(builder::addColumn);
            }
            CsvSchema schema = builder.build().withHeader();
            csvMapper.writer(schema).writeValue(new File(path), data);
        } else {
            mapper.enable(SerializationFeature.INDENT_OUTPUT);
            mapper.writeValue(new File(path), data);
        }
    }

    private static ObjectMapper getMapper(String fmt) {
        return switch (fmt) {
            case "json" -> new ObjectMapper();
            case "yaml" -> new YAMLMapper();
            case "xml" -> new XmlMapper();
            case "csv" -> new CsvMapper();
            default -> new ObjectMapper();
        };
    }
}