# Create filedot link file link_filename = f"record_id.file_hash[:8].jpg.link" link_full_path = Path(ams_link_dir) / link_filename with open(link_full_path, 'w') as lf: lf.write(f"real_path=jpg_path.resolve()\n") lf.write(f"md5=file_hash\n") lf.write("link_format=filedot_v1")
/ams_data/ /jpg_links/ /ab/ /cd/ 1234.jpg.link 5678.jpg.link /ef/ /gh/ 9101.jpg.link Each .link file (plain text) contains: AMS More Filedot Links jpg
By implementing the techniques described—sharded directories, link tables, semantic roles, version chaining, and health monitoring—you can confidently handle more filedot links than ever before. Your AMS will transform from a simple catalog into a powerful image linking engine, ready for thousands or even millions of JPGs. # Create filedot link file link_filename = f"record_id
For further reading, consult your AMS documentation on external file handling, and consider open standards like IIIF or W3C Web Annotations for next-generation linking. Now go link those JPGs. Now go link those JPGs
# Contents of .jpg.link file protocol=s3 bucket=ams-images key=originals/2024/01/15/asset_789.jpg cache_ttl=3600 fallback_local=/cache/asset_789.jpg Your AMS file-link resolver reads the dot link and fetches the JPG accordingly. For evolving JPGs (e.g., edited scans), maintain a chain:
“More filedot links” means multiple rows per record, each pointing to a different JPG. Python script example (pseudocode) scanning a folder of JPGs and creating links:
Example Apache .htaccess rule to redirect .link requests: