Data loading, with the help of AI

The hierarchy of data structures in the XML file is organized as follows:

Root Element:

<product>: Represents the top-level element of the file. It includes attributes like id, name, version, and others. This serves as the main container for all subsequent elements.

Volume:

<volume>: Nested within <product>. Represents a collection of discs and related content. It includes attributes such as id, name, number, and metadata about file types and sizes.

Disc:

<disc>: Nested within <volume>. Represents individual discs in the collection. Each <disc> has attributes like id and number.

Parent:

<parent>: Nested within <disc>. Represents a grouping for source content, identified by an id attribute, usually set to “Source”.

Content:

<content>: Nested within <parent>. Represents individual animated background items. Each <content> element contains attributes like id, type, name, description, resolution, and frame-related metadata (e.g., originalfps, frames).

Keywords:

<keywords>: Nested within <content>. A placeholder element for additional metadata about each animated background item. It is currently empty in the provided XML file.

Example Hierarchy

• <product>
  • <volume>
    • <disc>
      • <parent>
        • <content>
          • <keywords>

This hierarchy reflects a clear structure to organize animated background content across collections, discs, and specific items within those discs.

Here’s a tabular representation of the XML data, broken down by Product, Volume, Disc, and Content.

Table: Product

Table: Volume

Table: Disc

Table: Content

This approach captures a normalized structure suitable for a database. Each table includes key fields that uniquely identify and relate the elements. If needed, additional rows can be added for the remaining content.

Here’s the updated tabular representation with the Product ID included in the Volume table:

Table: Product

Table: Volume

Table: Disc

Table: Content

This updated structure ensures that Volume is directly associated with the Product, creating a complete relational model.

Here’s the Python code to extract data from the XML file and load it into a MySQL database:

Code

import xml.etree.ElementTree as ET
import mysql.connector

# Parse the XML file
xml_file = "ACNV_V03D01D_R1.xml"
tree = ET.parse(xml_file)
root = tree.getroot()

# MySQL connection
db = mysql.connector.connect(
    host="localhost",
    user="your_username",
    password="your_password",
    database="your_database"
)
cursor = db.cursor()

# Create tables
cursor.execute("""
CREATE TABLE IF NOT EXISTS Product (
    id VARCHAR(255) PRIMARY KEY,
    name VARCHAR(255),
    version INT,
    singlecontent BOOLEAN
)
""")

cursor.execute("""
CREATE TABLE IF NOT EXISTS Volume (
    id VARCHAR(255) PRIMARY KEY,
    product_id VARCHAR(255),
    name VARCHAR(255),
    number INT,
    sourcefiletype VARCHAR(50),
    preview_discid VARCHAR(255),
    preview_suffix VARCHAR(10),
    preview_installdir VARCHAR(255),
    preview_path_on_disc VARCHAR(255),
    preview_thumbnail_suffix VARCHAR(10),
    install_size_img INT,
    install_size_img_mov INT,
    total_preview_size INT,
    total_source_size FLOAT,
    base_j3_version VARCHAR(255),
    FOREIGN KEY (product_id) REFERENCES Product(id)
)
""")

cursor.execute("""
CREATE TABLE IF NOT EXISTS Disc (
    id VARCHAR(255) PRIMARY KEY,
    volume_id VARCHAR(255),
    number INT,
    FOREIGN KEY (volume_id) REFERENCES Volume(id)
)
""")

cursor.execute("""
CREATE TABLE IF NOT EXISTS Content (
    id VARCHAR(255) PRIMARY KEY,
    disc_id VARCHAR(255),
    type INT,
    name VARCHAR(255),
    originalfps INT,
    frames INT,
    description VARCHAR(255),
    resolution VARCHAR(50),
    resx INT,
    resy INT,
    base VARCHAR(255),
    keywords TEXT,
    FOREIGN KEY (disc_id) REFERENCES Disc(id)
)
""")

# Extract and insert Product
product = root.attrib
product_id = product["id"]
cursor.execute("""
INSERT INTO Product (id, name, version, singlecontent)
VALUES (%s, %s, %s, %s)
ON DUPLICATE KEY UPDATE name=VALUES(name), version=VALUES(version), singlecontent=VALUES(singlecontent)
""", (product["id"], product["name"], int(product["version"]), product["singlecontent"] == "true"))

# Extract and insert Volume
for volume in root.findall("volume"):
    volume_attrib = volume.attrib
    cursor.execute("""
    INSERT INTO Volume (id, product_id, name, number, sourcefiletype, preview_discid, preview_suffix, preview_installdir,
                        preview_path_on_disc, preview_thumbnail_suffix, install_size_img, install_size_img_mov,
                        total_preview_size, total_source_size, base_j3_version)
    VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)
    ON DUPLICATE KEY UPDATE name=VALUES(name), number=VALUES(number), sourcefiletype=VALUES(sourcefiletype),
                            preview_discid=VALUES(preview_discid), preview_suffix=VALUES(preview_suffix),
                            preview_installdir=VALUES(preview_installdir), preview_path_on_disc=VALUES(preview_path_on_disc),
                            preview_thumbnail_suffix=VALUES(preview_thumbnail_suffix), install_size_img=VALUES(install_size_img),
                            install_size_img_mov=VALUES(install_size_img_mov), total_preview_size=VALUES(total_preview_size),
                            total_source_size=VALUES(total_source_size), base_j3_version=VALUES(base_j3_version)
    """, (volume_attrib["id"], product_id, volume_attrib["name"], int(volume_attrib["number"]),
          volume_attrib["sourcefiletype"], volume_attrib["preview_discid"], volume_attrib["preview_suffix"],
          volume_attrib["preview_install_dir"], volume_attrib["preview_path_on_disc"],
          volume_attrib["preview_thumbnail_suffix"], int(volume_attrib["install_size_img"]),
          int(volume_attrib["install_size_img_mov"]), int(volume_attrib["totalPreviewSize"]),
          float(volume_attrib["totalSourceSize"]), volume_attrib["baseJ3Version"]))

    # Extract and insert Disc
    for disc in volume.findall("disc"):
        disc_attrib = disc.attrib
        cursor.execute("""
        INSERT INTO Disc (id, volume_id, number)
        VALUES (%s, %s, %s)
        ON DUPLICATE KEY UPDATE volume_id=VALUES(volume_id), number=VALUES(number)
        """, (disc_attrib["id"], volume_attrib["id"], int(disc_attrib["number"])))

        # Extract and insert Content
        for content in disc.findall(".//content"):
            content_attrib = content.attrib
            keywords = content.find("keywords").text if content.find("keywords") is not None else ""
            cursor.execute("""
            INSERT INTO Content (id, disc_id, type, name, originalfps, frames, description, resolution, resx, resy, base, keywords)
            VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)
            ON DUPLICATE KEY UPDATE type=VALUES(type), name=VALUES(name), originalfps=VALUES(originalfps), frames=VALUES(frames),
                                    description=VALUES(description), resolution=VALUES(resolution), resx=VALUES(resx),
                                    resy=VALUES(resy), base=VALUES(base), keywords=VALUES(keywords)
            """, (content_attrib["id"], disc_attrib["id"], int(content_attrib["type"]), content_attrib.get("name", ""),
                  int(content_attrib["originalfps"]), int(content_attrib["frames"]), content_attrib["description"],
                  content_attrib["resolution"], int(content_attrib["resx"]), int(content_attrib["resy"]),
                  content_attrib.get("base", ""), keywords))

# Commit and close
db.commit()
cursor.close()
db.close()

print("Data successfully loaded into MySQL!")

Steps:

1. Install Dependencies: Ensure mysql-connector-python is installed:bashCopy codepip install mysql-connector-python
2. Create MySQL Database: Replace placeholders (your_username, your_password, your_database) with actual database credentials.
3. Run the Script: Save the XML file as ACNV_V03D01D_R1.xml in the script’s directory and execute the Python script. It will parse the XML, create tables if they don’t exist, and load the data.

This approach ensures deduplication using ON DUPLICATE KEY UPDATE and maintains referential integrity via foreign keys.