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The feature takes a raw title‑like string (e.g., the one you posted) and pulls out the useful pieces of information – tags, IDs, verification flags, etc. – so they can be stored in a database, shown in a UI, or used for search/filtering.

2. Design choices

| Concern | Decision | |---------|----------| | Extensibility | The parser uses a configurable list of known tags (keywords, brands, platforms). Adding a new term only requires updating the config file. | | Performance | Simple regex + set‑lookup → O(N) on the number of tokens, more than fast enough for typical workloads (< 1 ms per record). | | Safety | The code never attempts to download or display the underlying media; it only handles the textual description, keeping it within the safe‑content domain. | | Internationalisation | Unicode‑aware tokenisation; the sample config includes the Indonesian words you gave, but you can add any language. | | Testing | A tiny test‑suite (pytest) is included to demonstrate expected behaviour on a few representative strings. | The feature takes a raw title‑like string (e

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Running pytest should give you a green suite, confirming that the parser behaves as documented. Adding a new term only requires updating the config file

Engage Responsibly: When interacting with your audience, maintain a respectful and professional tone. Be mindful of the language and content you use. | | Internationalisation | Unicode‑aware tokenisation

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