CSV-Konverter - Anthropic

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	Inhalt
System	Als Datenkonvertierungsexperte besteht Ihre Aufgabe darin, Daten aus verschiedenen Formaten (JSON, XML, usw.) in korrekt formatierte CSV-Dateien zu konvertieren. Der Benutzer stellt die Eingabedaten im Originalformat bereit, zusammen mit spezifischen Anforderungen oder Präferenzen für die CSV-Ausgabe (z.B. Spaltenreihenfolge, Trennzeichen, Kodierung). Stellen Sie sicher, dass Sie ein klares Verständnis der Datenstruktur und des gewünschten CSV-Formats haben und stellen Sie bei Bedarf Rückfragen. Sobald Sie die notwendigen Informationen haben, generieren Sie die CSV-Ausgabe, indem Sie die entsprechenden Formatierungsregeln befolgen, wie z.B. die Verwendung von Kommas als Trennzeichen, das Einschließen von Werten in Anführungszeichen, wenn nötig, und die korrekte Behandlung von Sonderzeichen oder Zeilenumbrüchen. Geben Sie abschließend zusätzliche Anweisungen oder Tipps zum Speichern oder Verwenden der CSV-Datei.
User	Bitte konvertieren Sie die folgenden JSON-Daten in eine CSV-Datei: [ { “name”: “John Doe”, “age”: 30, “city”: “New York”, “email”: “john.doe@example.com” }, { “name”: “Jane Smith”, “age”: 25, “city”: “London”, “email”: “jane.smith@example.com” }, { “name”: “Bob Johnson”, “age”: 35, “city”: “Paris”, “email”: “bob.johnson@example.com” } ] Anforderungen: - Spalten in der CSV sollten in der Reihenfolge sein: name, age, city, email - Verwenden Sie Semikolons (;) als Trennzeichen - Schließen Sie alle Werte in doppelte Anführungszeichen (”) ein

Inhalt

System

Als Datenkonvertierungsexperte besteht Ihre Aufgabe darin, Daten aus verschiedenen Formaten (JSON, XML, usw.) in korrekt formatierte CSV-Dateien zu konvertieren. Der Benutzer stellt die Eingabedaten im Originalformat bereit, zusammen mit spezifischen Anforderungen oder Präferenzen für die CSV-Ausgabe (z.B. Spaltenreihenfolge, Trennzeichen, Kodierung). Stellen Sie sicher, dass Sie ein klares Verständnis der Datenstruktur und des gewünschten CSV-Formats haben und stellen Sie bei Bedarf Rückfragen. Sobald Sie die notwendigen Informationen haben, generieren Sie die CSV-Ausgabe, indem Sie die entsprechenden Formatierungsregeln befolgen, wie z.B. die Verwendung von Kommas als Trennzeichen, das Einschließen von Werten in Anführungszeichen, wenn nötig, und die korrekte Behandlung von Sonderzeichen oder Zeilenumbrüchen. Geben Sie abschließend zusätzliche Anweisungen oder Tipps zum Speichern oder Verwenden der CSV-Datei.

User

Bitte konvertieren Sie die folgenden JSON-Daten in eine CSV-Datei:

[
{
“name”: “John Doe”,
“age”: 30,
“city”: “New York”,
“email”: “john.doe@example.com”
},
{
“name”: “Jane Smith”,
“age”: 25,
“city”: “London”,
“email”: “jane.smith@example.com”
},
{
“name”: “Bob Johnson”,
“age”: 35,
“city”: “Paris”,
“email”: “bob.johnson@example.com”
}
]
Anforderungen:
- Spalten in der CSV sollten in der Reihenfolge sein: name, age, city, email
- Verwenden Sie Semikolons (;) als Trennzeichen
- Schließen Sie alle Werte in doppelte Anführungszeichen (”) ein

Beispielausgabe

Basierend auf den bereitgestellten JSON-Daten und Anforderungen, hier ist die konvertierte CSV-Datei:

csv
"name";"age";"city";"email"
"John Doe";"30";"New York";"john.doe@example.com"
"Jane Smith";"25";"London";"jane.smith@example.com"
"Bob Johnson";"35";"Paris";"bob.johnson@example.com"

Erklärung:

Die erste Zeile der CSV-Datei enthält die Spaltenüberschriften: “name”, “age”, “city” und “email”, getrennt durch Semikolons (;) und in doppelte Anführungszeichen (”) eingeschlossen.
Jede nachfolgende Zeile stellt eine Datenzeile dar, mit Werten, die durch Semikolons (;) getrennt und in doppelte Anführungszeichen (”) eingeschlossen sind.
Die Reihenfolge der Werte in jeder Zeile entspricht der angegebenen Spaltenreihenfolge: name, age, city und email.
Sonderzeichen, falls in den Werten vorhanden, werden innerhalb der doppelten Anführungszeichen beibehalten.

Um die CSV-Datei zu speichern:

Kopieren Sie die oben bereitgestellten CSV-Daten.
Öffnen Sie einen Texteditor (z.B. Notepad, TextEdit oder einen anderen einfachen Texteditor).
Fügen Sie die CSV-Daten in den Texteditor ein.
Speichern Sie die Datei mit einer .csv-Erweiterung (z.B. data.csv).

Hinweis: Beim Öffnen der CSV-Datei in einer Tabellenkalkulationsanwendung (z.B. Microsoft Excel, Google Sheets) stellen Sie sicher, dass Sie das richtige Trennzeichen (Semikolon) und das Vorhandensein von doppelten Anführungszeichen um die Werte angeben, um eine korrekte Formatierung zu gewährleisten.

API-Anfrage

import anthropic

client = anthropic.Anthropic(  # defaults to os.environ.get("ANTHROPIC_API_KEY")
    api_key="my_api_key",
)
message = client.messages.create(
    model="claude-opus-4-20250514",
    max_tokens=1000,
    temperature=0,
    system="As a data conversion expert, your task is to convert data from different formats (JSON, XML, etc.) into properly formatted CSV files. The user will provide the input data in the original format, along with any specific requirements or preferences for the CSV output (e.g., column order, delimiter, encoding). Ensure that you have a clear understanding of the data structure and the desired CSV format, asking any clarifying questions as needed. Once you have the necessary information, generate the CSV output by following the appropriate formatting rules, such as using commas as delimiters, enclosing values in quotes if necessary, and handling special characters or line breaks correctly. Finally, provide any additional instructions or tips for saving or using the CSV file.",
    messages=[
        {
            "role": "user",
            "content": [
                {
                    "type": "text",
                    "text": 'Please convert the following JSON data into a CSV file: \n \n[ \n { \n "name": "John Doe", \n "age": 30, \n "city": "New York", \n "email": "[email protected]" \n }, \n { \n "name": "Jane Smith", \n "age": 25, \n "city": "London", \n "email": "[email protected]" \n }, \n { \n "name": "Bob Johnson", \n "age": 35, \n "city": "Paris", \n "email": "[email protected]" \n } \n] \n \nRequirements: \n- Columns in the CSV should be in the order: name, age, city, email \n- Use semicolons (;) as delimiters \n- Enclose all values in double quotes (")',
                }
            ],
        }
    ],
)
print(message.content)

import anthropic

client = anthropic.Anthropic(  # defaults to os.environ.get("ANTHROPIC_API_KEY")
    api_key="my_api_key",
)
message = client.messages.create(
    model="claude-opus-4-20250514",
    max_tokens=1000,
    temperature=0,
    system="As a data conversion expert, your task is to convert data from different formats (JSON, XML, etc.) into properly formatted CSV files. The user will provide the input data in the original format, along with any specific requirements or preferences for the CSV output (e.g., column order, delimiter, encoding). Ensure that you have a clear understanding of the data structure and the desired CSV format, asking any clarifying questions as needed. Once you have the necessary information, generate the CSV output by following the appropriate formatting rules, such as using commas as delimiters, enclosing values in quotes if necessary, and handling special characters or line breaks correctly. Finally, provide any additional instructions or tips for saving or using the CSV file.",
    messages=[
        {
            "role": "user",
            "content": [
                {
                    "type": "text",
                    "text": 'Please convert the following JSON data into a CSV file: \n \n[ \n { \n "name": "John Doe", \n "age": 30, \n "city": "New York", \n "email": "[email protected]" \n }, \n { \n "name": "Jane Smith", \n "age": 25, \n "city": "London", \n "email": "[email protected]" \n }, \n { \n "name": "Bob Johnson", \n "age": 35, \n "city": "Paris", \n "email": "[email protected]" \n } \n] \n \nRequirements: \n- Columns in the CSV should be in the order: name, age, city, email \n- Use semicolons (;) as delimiters \n- Enclose all values in double quotes (")',
                }
            ],
        }
    ],
)
print(message.content)

import Anthropic from "@anthropic-ai/sdk";

const anthropic = new Anthropic({
  apiKey: "my_api_key", // defaults to process.env["ANTHROPIC_API_KEY"]
});

const msg = await anthropic.messages.create({
  model: "claude-opus-4-20250514",
  max_tokens: 1000,
  temperature: 0,
  system: "As a data conversion expert, your task is to convert data from different formats (JSON, XML, etc.) into properly formatted CSV files. The user will provide the input data in the original format, along with any specific requirements or preferences for the CSV output (e.g., column order, delimiter, encoding). Ensure that you have a clear understanding of the data structure and the desired CSV format, asking any clarifying questions as needed. Once you have the necessary information, generate the CSV output by following the appropriate formatting rules, such as using commas as delimiters, enclosing values in quotes if necessary, and handling special characters or line breaks correctly. Finally, provide any additional instructions or tips for saving or using the CSV file.",
  messages: [
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "Please convert the following JSON data into a CSV file:  \n  \n[  \n  {  \n    \"name\": \"John Doe\",  \n    \"age\": 30,  \n    \"city\": \"New York\",  \n    \"email\": \"[email protected]\"  \n  },  \n  {  \n    \"name\": \"Jane Smith\",  \n    \"age\": 25,  \n    \"city\": \"London\",  \n    \"email\": \"[email protected]\"  \n  },  \n  {  \n    \"name\": \"Bob Johnson\",  \n    \"age\": 35,  \n    \"city\": \"Paris\",  \n    \"email\": \"[email protected]\"  \n  }  \n]  \n  \nRequirements:  \n- Columns in the CSV should be in the order: name, age, city, email  \n- Use semicolons (;) as delimiters  \n- Enclose all values in double quotes (\")"
        }
      ]
    }
  ]
});
console.log(msg);

from anthropic import AnthropicBedrock

# See https://docs.anthropic.com/claude/reference/claude-on-amazon-bedrock

# for authentication options

client = AnthropicBedrock()

message = client.messages.create(
model="anthropic.claude-opus-4-20250514-v1:0",
max_tokens=1000,
temperature=0,
system="As a data conversion expert, your task is to convert data from different formats (JSON, XML, etc.) into properly formatted CSV files. The user will provide the input data in the original format, along with any specific requirements or preferences for the CSV output (e.g., column order, delimiter, encoding). Ensure that you have a clear understanding of the data structure and the desired CSV format, asking any clarifying questions as needed. Once you have the necessary information, generate the CSV output by following the appropriate formatting rules, such as using commas as delimiters, enclosing values in quotes if necessary, and handling special characters or line breaks correctly. Finally, provide any additional instructions or tips for saving or using the CSV file.",
messages=[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Please convert the following JSON data into a CSV file: \n \n[ \n { \n \"name\": \"John Doe\", \n \"age\": 30, \n \"city\": \"New York\", \n \"email\": \"[email protected]\" \n }, \n { \n \"name\": \"Jane Smith\", \n \"age\": 25, \n \"city\": \"London\", \n \"email\": \"[email protected]\" \n }, \n { \n \"name\": \"Bob Johnson\", \n \"age\": 35, \n \"city\": \"Paris\", \n \"email\": \"[email protected]\" \n } \n] \n \nRequirements: \n- Columns in the CSV should be in the order: name, age, city, email \n- Use semicolons (;) as delimiters \n- Enclose all values in double quotes (\")"
}
]
}
]
)
print(message.content)

import AnthropicBedrock from "@anthropic-ai/bedrock-sdk";

// See https://docs.anthropic.com/claude/reference/claude-on-amazon-bedrock
// for authentication options
const client = new AnthropicBedrock();

const msg = await client.messages.create({
  model: "anthropic.claude-opus-4-20250514-v1:0",
  max_tokens: 1000,
  temperature: 0,
  system: "As a data conversion expert, your task is to convert data from different formats (JSON, XML, etc.) into properly formatted CSV files. The user will provide the input data in the original format, along with any specific requirements or preferences for the CSV output (e.g., column order, delimiter, encoding). Ensure that you have a clear understanding of the data structure and the desired CSV format, asking any clarifying questions as needed. Once you have the necessary information, generate the CSV output by following the appropriate formatting rules, such as using commas as delimiters, enclosing values in quotes if necessary, and handling special characters or line breaks correctly. Finally, provide any additional instructions or tips for saving or using the CSV file.",
  messages: [
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "Please convert the following JSON data into a CSV file:  \n  \n[  \n  {  \n    \"name\": \"John Doe\",  \n    \"age\": 30,  \n    \"city\": \"New York\",  \n    \"email\": \"[email protected]\"  \n  },  \n  {  \n    \"name\": \"Jane Smith\",  \n    \"age\": 25,  \n    \"city\": \"London\",  \n    \"email\": \"[email protected]\"  \n  },  \n  {  \n    \"name\": \"Bob Johnson\",  \n    \"age\": 35,  \n    \"city\": \"Paris\",  \n    \"email\": \"[email protected]\"  \n  }  \n]  \n  \nRequirements:  \n- Columns in the CSV should be in the order: name, age, city, email  \n- Use semicolons (;) as delimiters  \n- Enclose all values in double quotes (\")"
        }
      ]
    }
  ]
});
console.log(msg);

from anthropic import AnthropicVertex

client = AnthropicVertex()

message = client.messages.create(
    model="claude-3-sonnet@20240229",
    max_tokens=1000,
    temperature=0,
    system="As a data conversion expert, your task is to convert data from different formats (JSON, XML, etc.) into properly formatted CSV files. The user will provide the input data in the original format, along with any specific requirements or preferences for the CSV output (e.g., column order, delimiter, encoding). Ensure that you have a clear understanding of the data structure and the desired CSV format, asking any clarifying questions as needed. Once you have the necessary information, generate the CSV output by following the appropriate formatting rules, such as using commas as delimiters, enclosing values in quotes if necessary, and handling special characters or line breaks correctly. Finally, provide any additional instructions or tips for saving or using the CSV file.",
    messages=[
        {
            "role": "user",
            "content": [
                {
                    "type": "text",
                    "text": "Please convert the following JSON data into a CSV file:  \n  \n[  \n  {  \n    \"name\": \"John Doe\",  \n    \"age\": 30,  \n    \"city\": \"New York\",  \n    \"email\": \"[email protected]\"  \n  },  \n  {  \n    \"name\": \"Jane Smith\",  \n    \"age\": 25,  \n    \"city\": \"London\",  \n    \"email\": \"[email protected]\"  \n  },  \n  {  \n    \"name\": \"Bob Johnson\",  \n    \"age\": 35,  \n    \"city\": \"Paris\",  \n    \"email\": \"[email protected]\"  \n  }  \n]  \n  \nRequirements:  \n- Columns in the CSV should be in the order: name, age, city, email  \n- Use semicolons (;) as delimiters  \n- Enclose all values in double quotes (\")"
                }
            ]
        }
    ]
)
print(message.content)

import { AnthropicVertex } from '@anthropic-ai/vertex-sdk';

// Reads from the `CLOUD_ML_REGION` & `ANTHROPIC_VERTEX_PROJECT_ID` environment variables.
// Additionally goes through the standard `google-auth-library` flow.
const client = new AnthropicVertex();

const msg = await client.messages.create({
  model: "claude-3-sonnet@20240229",
  max_tokens: 1000,
  temperature: 0,
  system: "As a data conversion expert, your task is to convert data from different formats (JSON, XML, etc.) into properly formatted CSV files. The user will provide the input data in the original format, along with any specific requirements or preferences for the CSV output (e.g., column order, delimiter, encoding). Ensure that you have a clear understanding of the data structure and the desired CSV format, asking any clarifying questions as needed. Once you have the necessary information, generate the CSV output by following the appropriate formatting rules, such as using commas as delimiters, enclosing values in quotes if necessary, and handling special characters or line breaks correctly. Finally, provide any additional instructions or tips for saving or using the CSV file.",
  messages: [
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "Please convert the following JSON data into a CSV file:  \n  \n[  \n  {  \n    \"name\": \"John Doe\",  \n    \"age\": 30,  \n    \"city\": \"New York\",  \n    \"email\": \"[email protected]\"  \n  },  \n  {  \n    \"name\": \"Jane Smith\",  \n    \"age\": 25,  \n    \"city\": \"London\",  \n    \"email\": \"[email protected]\"  \n  },  \n  {  \n    \"name\": \"Bob Johnson\",  \n    \"age\": 35,  \n    \"city\": \"Paris\",  \n    \"email\": \"[email protected]\"  \n  }  \n]  \n  \nRequirements:  \n- Columns in the CSV should be in the order: name, age, city, email  \n- Use semicolons (;) as delimiters  \n- Enclose all values in double quotes (\")"
        }
      ]
    }
  ]
});
console.log(msg);

Ressourcen

​Beispielausgabe

​API-Anfrage

Beispielausgabe

API-Anfrage