This tool simplifies the process of creating Django model classes from your database schema. Simply paste your schema in JSON format below, and get the corresponding Django model code instantly.
# Your output will be here
There are several ways to create a database schema in JSON format:
Many SQL database management systems come with tools that can export table definitions to various formats. These tools often have options to export schemas directly to JSON or to formats that can be easily converted to JSON (like SQL or CSV). For example, PostgreSQL has pg_dump with options to output in custom formats, which can then be processed into JSON.
SQL to JSON Converters:
Use online converters or command-line tools that take SQL CREATE TABLE statements and convert them to JSON. This requires exporting the schema as SQL statements first.
Custom Scripts:
Write a custom script in a language like Python that connects to the database, retrieves the schema information using queries (like INFORMATION_SCHEMA tables in SQL databases), and then formats that information as JSON. Python libraries such as psycopg2 for PostgreSQL or PyMySQL for MySQL can be used to connect to the database and execute schema retrieval commands.
import psycopg2
import json
# Connect to your PostgreSQL database
conn = psycopg2.connect(dbname="your_dbname", user="your_user", password="your_password", host="your_host")
cur = conn.cursor()
# Query to get table structure (simplified)
cur.execute("""
SELECT table_name, column_name, data_type
FROM information_schema.columns
WHERE table_schema = 'public'
""")
schema = {}
for table_name, column_name, data_type in cur.fetchall():
if table_name not in schema:
schema[table_name] = []
schema[table_name].append({"column_name": column_name, "data_type": data_type})
# Convert the schema dictionary to JSON
schema_json = json.dumps(schema, indent=4)
# Output or save the JSON
print(schema_json)
# Don't forget to close the connection
cur.close()
conn.close()
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