Index Of Data Disk2 Hindi Movies -

(mandatory for indexing):

"identifier": "tt0108890", // IMDb ID "title": "Karan Arjun", "originalTitle": "करन अर्जुन", "releaseYear": 1995, "genres": ["Action", "Drama"], "duration": "180 min", "language": "Hindi", "audioTracks": [ "language": "Hindi", "codec": "AAC", "channels": "5.1" , "language": "English", "codec": "AAC", "channels": "2.0" ], "subtitleTracks": [ "language": "Hindi", "format": "SRT" , "language": "English", "format": "SRT" ], "fileName": "Karan_Arjun_1995.mkv", "fileSizeBytes": 2048576000, "checksum": "algorithm": "SHA-256", "value": "3b2e7c5d...d9fa" , "director": ["Rakesh Roshan"], "cast": ["Shah Rukh Khan", "Salman Khan", "Kajol"], "synopsis": "Two brothers are reborn to avenge their murder...", "keywords": ["revenge", "reincarnation", "family"], "source": "DVD‑R (Disc 2)", "ingestDate": "2026-04-01T14:32:00Z", "notes": "Encoded from source DVD, 1080p H.264, 5‑star quality" Index Of Data Disk2 Hindi Movies

| FilePath | Identifier | Title | Year | Genres | Duration | Size (GB) | SHA‑256 | |----------|------------|-------|------|--------|----------|-----------|---------| | Drama/1995/Karan_Arjun_1995/Karan_Arjun_1995.mkv | tt0108890 | Karan Arjun | 1995 | Action;Drama | 180 min | 1.91 | 3b2e7c5d…d9fa | | … | … | … | … | … | … | … | … | The schema complies with MPEG‑7 Core elements and

The above hierarchy follows the + UDF hybrid standard used on most DVD‑R media, ensuring compatibility with Windows, macOS, and Linux. 4. Metadata Schema A JSON file ( metadata.json ) resides in every movie folder. The schema complies with MPEG‑7 Core elements and augments them with Dublin Core fields for simplicity. | | releaseYear | Integer | Temporal filtering

The for the entire disk is a single CSV file ( DISK2_index.csv ) located at the root:

| Field | Data Type | Purpose | |-------|-----------|---------| | identifier | String | Unique external reference (IMDb, TMDB). | | title / originalTitle | String | Searchable titles in Latin and Devanagari. | | releaseYear | Integer | Temporal filtering. | | genres | Array of Strings | Faceted browsing. | | fileName | String | Direct link to the video file. | | checksum | Object (algorithm, value) | Integrity verification. | | duration | String | Quick visual cue for UI. | | audioTracks / subtitleTracks | Array of Objects | Accessibility information. |

The CSV can be imported into Excel, Google Sheets, or any MAM system that accepts bulk metadata. | Step | Action | Tools | |------|--------|-------| | 1. Disk Imaging | Create a raw ISO ( disk2.iso ) for safe read‑only access. | dd (Linux), Win32 Disk Imager | | 2. File Enumeration | Recursively list all files, capture size and timestamps. | find -type f -exec stat {} + (Linux) | | 3. Checksum Generation | Compute SHA‑256 for each video file. | sha256sum | | 4. Metadata Extraction | Pull embedded tags (if any) via ffprobe . | ffprobe -v quiet -print_format json -show_format -show_streams | | 5. Manual Augmentation | Add missing fields (genre, cast, synopsis) using IMDb/TMDB APIs. | Python script with IMDbPY library | | 6. JSON Assembly | Write a metadata.json per movie folder. | Custom Python/Jinja2 script | | 7. Master CSV Build | Consolidate all per‑movie records into DISK2_index.csv . | Pandas to_csv() | | 8. Validation | Verify that every file referenced in CSV exists and checksums match. | diff + custom verification script | | 9. Documentation | Export the CSV and a PDF TOC for human consumption. | LibreOffice / LaTeX |