feat: improve resume optimization and import reliability

backend/app/claim_validator.py

@@ -79,31 +79,21 @@ def validate_proposal(proposal: dict[str, Any], facts: list[Any]) -> dict[str, A
 
 
 def partition_entry_text(text: str, facts: list[Any]) -> tuple[str, list[str], list[str]]:
-    """Strictly partition imported/RAG-expanded text from its source evidence.
+    """Diagnose unsupported signatures without deleting a complete bullet.
 
-    Unlike a user-requested resume optimization proposal, imported content must
-    never silently turn a source fact into a different metric or deliverable.
+    Candidate text remains visible for user review. Removing an entire bullet because
+    one number or technical term needs confirmation previously discarded confirmed
+    facts in the same statement.
     """
     ledger = normalize_fact_ledger(facts)
     evidence = "\n".join(item["text"] for item in ledger)
-    confirmed: list[str] = []
-    suggestions: list[str] = []
-    for sentence in _SENTENCE.split(text.strip()):
-        clean = sentence.strip()
-        if not clean:
-            continue
-        if _has_unconfirmed_signature(clean, evidence):
-            suggestions.append(clean)
-        else:
-            confirmed.append(clean)
-    result = _rejoin_sentences(confirmed, had_line_breaks="\n" in text)
-    warnings: list[str] = []
-    if not result and suggestions:
-        result = _primary_description(ledger)
-        warnings.append("candidate_contains_unconfirmed_additions")
-    if suggestions:
-        warnings.append("suggestion_requires_confirmation")
-    return result, suggestions, warnings
+    suggestions = [
+        sentence.strip()
+        for sentence in _SENTENCE.split(text.strip())
+        if sentence.strip() and _has_unconfirmed_signature(sentence.strip(), evidence)
+    ]
+    warnings = ["candidate_requires_confirmation"] if suggestions else []
+    return text.strip(), suggestions, warnings
 
 
 def _rejoin_sentences(sentences: list[str], *, had_line_breaks: bool) -> str: