Warner-Vistex-Automater

Stage 1 of a Bootstrap-based PHP app that uploads an Excel workbook, processes the rows, stores the imported data in PostgreSQL, and previews the imported rows in a paginated table.

Features

• Upload .xls or .xlsx files.
• Validate required spreadsheet headers before import.
• Wipe previous imported rows before each new import.
• Compute the stage 1 derived fields during import.
• Store normalized imported data plus calculated data in PostgreSQL using jsonb.
• Process large imports in short chunks to avoid request timeouts.
• Review imported rows in a Bootstrap table with pagination.
• Show upload progress and import status in the browser.

Requirements

• PHP 8.3 or newer
• Composer
• PostgreSQL

Setup

1. Edit config.php and update the database settings if your host names differ from the defaults.

   • Or set DATABASE_URL, for example:

   DATABASE_URL=postgres://postgres:postgres@host.docker.internal:5432/devdb?sslmode=prefer
   

   • The default host is localhost for CLI scripts and postgres_db for the web app.
   • If your setup differs, DATABASE_URL is the easiest override.
   • Set APP_URL if the app will run from a different folder or base URL than http://localhost/warner/.

2. Install dependencies:

composer install

3. Run the database migration:

composer run migrate

4. Start the app:

php -S 127.0.0.1:8000 -t public

5. Open http://127.0.0.1:8000.

Import flow

1. The app validates that a file was uploaded.
2. The file must be an Excel workbook.
3. Required columns are checked by header name.
4. Existing imported rows are deleted in a transaction.
5. The workbook rows are normalized and derived fields are calculated.
6. The new rows are inserted and then displayed in the preview table.

Data model

The schema uses two tables:

• import_batches stores metadata for each import run.
• import_rows stores the row payloads using jsonb for original, normalized, and calculated data.

This keeps the model flexible for later import stages and additional derived fields.