Report Not Generated: Empty Stage-1 Output and How to Fix It

The request was to produce an original Hindi sports news report of roughly 3,100 words based on the supplied analysis. The problem is that the 'analysis' itself is a failure report. Stage-1 returned an empty payload: the only surviving signal is the domain label 'cricket_asia'. Title, source, article type, one-sentence summary, author stance, article purpose, information points and time sensitivity are all missing or left as template placeholders. Information points are completely empty, and since entities are derived from them, the entity graph is empty as well. Writing a 3,100-word news report from this input would require inventing facts that exist nowhere in the source: which match, which players, which date, which board's statement, which statistics. That is not journalism; it is fabrication. A synthetic report would mislead readers and inject contaminated data into downstream systems — tagging, entity linking, fact-checking. This document therefore records the cause, the blast radius and the repair path instead of producing a report. The analytical impact is direct. Without 'Article Title' the topic boundary cannot be fixed — there is no way to tell whether this is a match report from an Asia Cup fixture, an ACC governance meeting, a broadcast-rights story, or political commentary on India-Pakistan cricket relations. Without 'Article Source' credibility and bias cannot be assessed — is this original reporting, syndicated agency copy, or a rewrite of a board press release. Without 'Article Type' no analytical frame can be selected — a match report, an opinion piece, a data analysis and a press release each require different evaluation criteria. Without 'Author Stance' and 'Article Purpose' it is impossible to judge why information was selected — to build a player's narrative, to push a policy, or to bury a controversy. Without 'Time Sensitivity' there is no way to know whether the material is still current or has passed its half-life. Technically, the failure layer must be localised. Four causes are most likely. First, the crawler received an empty body — anti-bot protection, a JavaScript-rendered page, or a paywall. Second, the main-text CSS selector no longer matches the DOM after a site redesign. Third, a language or encoding problem left no valid tokens after tokenisation. Fourth, the source content was genuinely empty — a redirect or 404 page mistakenly treated as the article body. The diagnostic sequence is simple. Check the length of raw_html first. If it is zero or negligible, the problem sits in the crawl layer, not the analysis layer, and further inspection is wasted effort. If raw_html is intact, check the length of extracted_text. If extracted_text is zero while the HTML is populated, the selector has failed. If extracted_text is also populated, inspect the first 200 characters — confirm it is actually article prose and not a cookie-consent banner, navigation menu or ad block. Finally, check the language-detection and encoding logs. These four checks localise the failing layer within a minute or two. After Stage-1 is repaired, its output should contain at minimum: a title; source metadata (outlet, author, publication timestamp, URL); article type (one of news, report, opinion, analysis, press_release); a one-sentence summary; author stance; article purpose; a list of information points where each point carries its entities, its attribution (reporter's own assertion versus a quoted official) and a verifiability flag; and a time-sensitivity assessment. Information points are the decisive field — without them, entity relations, fact-checking and stance analysis are all impossible. No players, matches, scores or dates appear in this document because none were present in the input. Once they are supplied, the report can be written.