Matching titles invite cleanup. Revisiting the collector made me examine how far a convenient title rule can establish record identity. I built a small example that leaves unknown relationships available for review.
What does one row actually represent?
Two entries with the same title make a clean-up button tempting. A shorter list is easier for an operator to scan and may reduce later processing. Yet removing one row can also discard a distinct post or collapse two observations into one purported fact. A website that collects material needs an explicit identity policy before it optimizes the appearance of its list.
The historical conversation I revisited asked for specific posts to be downloaded. It contains no documented loss caused by a title collision. I read the collector's identification and grouping functions to see where they preserve distinctions and where an exceptional branch relies on titles. This article describes that code review and the new example it motivated, rather than inventing a production incident that the records do not establish.
The normal path starts with publisher and record identifiers
The original code extracts a publisher ID and post number from a post address. The web and mobile candidate parsers I inspected skip entries when that identity cannot be parsed. The merge helper also prefers a lowercased publisher ID plus the post number whenever both are present. Normal candidates with equal titles but different post numbers therefore do not merge solely because their titles match.
When two candidates share an identity, the original structure retains separate web and mobile positions, titles and source fragments. A display-title branch prefers the mobile title, but that preference does not define whether the records are identical. Choosing a label for the screen and deciding which observations refer to the same item are separate policies. Reading them separately makes the behavior easier to explain and challenge.
The fallback title key removes useful distinctions
An exceptional branch handles entries missing part of their identity. It forms a fallback key from the publisher ID and a normalized title. The normalization removes spaces, punctuation and characters outside its retained Latin, digit and Korean-syllable ranges. Synthetic titles such as A-B and AB can share a key; titles with no retained characters can yield the same empty key.
That is a risk visible in the exceptional branch, not evidence that the normal search parsers actually supplied such rows. The fallback key also has a different kind from the complete-identity key, so an unresolved row is not automatically reconciled with an existing exact-ID group merely because its title matches. Before calling a fallback a repair, I would need to establish which caller produces incomplete input and what that input means.
I built a separate review projection for incomplete rows
In the independent example, every incomplete observation remains separate and matching-title groups are returned as review candidates. Two rows with the same declared ID share a group without deleting either observation. Two IDs with the same title remain distinct. An unidentified row beside those anchors is not attached to the first one encountered. This is newly authored synthetic code for publication, not a patch installed in the original collector.
The choice has a deliberate cost. A collection with many unresolved rows can look less tidy and create more review work. I chose to expose unknown relationships instead of hiding them through automatic consolidation. Production use would need an accepted identifier policy, a review owner, recorded reasons and correction history. The helper does not pretend to implement that operational process merely because it produces candidates.
A grouping decision affects every later statistic
If observations are associated with the wrong item, their positions, reactions or comment counts can be associated with the wrong item as well. Before selecting a best position, a reader should be able to inspect which observations were grouped together. This example performs no ranking or performance aggregation. The existing rank-observation package is linked as a separate implementation for observation states.
Distinguishing unperformed, unavailable and scoped absence cannot substitute for deciding whether two rows refer to the same item. Nor does a declared identifier authenticate a canonical record on a remote service. The output therefore explicitly records that identity authentication, merge authorization and external writes have not occurred. These boundaries are useful information for the next developer, not extra measurements produced by the grouping function.
I tested the ambiguous cases before trusting the tidy ones
The tests distinguish changed titles under the same ID, equal titles under different IDs, and an unresolved observation beside two known anchors. The last case is supplied in all six possible orders and must produce the same output. I wanted to avoid a first-seen rule that quietly assigns an unidentified observation according to which channel happened to arrive first.
The tests also cover leading zeros, namespaces, empty title hints and input preservation. The package's 27 test methods are run locally and again after ZIP extraction. Five stored records come from actual executions of this synthetic helper. That count is not a test count for the original collector or a live website audit. The published selector reads saved outputs without accessing original posts, photos, accounts, browsers or collection jobs.
Make the grouping decision visible before simplifying the list
For a website with collected material, I would show the identity basis and retained observations before adding a broad deduplication button. A label such as matching-title candidates, no automatic merge describes this example more accurately than duplicates cleaned up. This is a proposed operational label derived from the new helper, not a claim about wording already installed on a customer's screen.
The module below includes the complete code, tests, records and instructions. The complete-identity policy must be adapted to the business, and multilingual collections need a deliberate title-hint policy. Explaining which observations survived makes later corrections possible without losing the ledger. For help designing that kind of collection feature or operational interface, use the email contact in the site footer.