feat: ship premium IT-focused vacancy radar

apps/jobs/services/scoring.py

@@ -14,6 +14,7 @@ from apps.jobs.services.geocoding import resolve_cached_location
 from apps.profiles.models import SearchProfile
 
 from .normalization import normalize_token
+from .relevance import assess_it_relevance, profile_requires_it_focus
 
 
 @dataclass(frozen=True)
@@ -227,6 +228,9 @@ def _hard_exclusions(
     conflicts = sorted(excluded_skills.intersection(explicit_job_skills))
     if conflicts:
         reasons.append("Uitgesloten verplichte skill: " + ", ".join(conflicts))
+    it_relevance = assess_it_relevance(job.original_title)
+    if profile_requires_it_focus(profile) and not it_relevance.relevant:
+        reasons.append(it_relevance.reason)
     return reasons, distance.distance_confidence
 
 
@@ -292,6 +296,7 @@ def _analyze_with_ai(job: JobPosting, profile: SearchProfile) -> tuple[AiAnalysi
 def calculate_score(job: JobPosting, profile: SearchProfile) -> ScoreResult:
     distance = _distance(job, profile)
     exclusions, distance_confidence = _hard_exclusions(job, profile, distance)
+    it_relevance = assess_it_relevance(job.original_title)
     title_fit = _title_fit(job, profile)
     skill_fit, present_skills, missing_skills = _skill_fit(job, profile)
     features = job.analysis_features or {}
@@ -381,6 +386,8 @@ def calculate_score(job: JobPosting, profile: SearchProfile) -> ScoreResult:
     concerns: list[str] = []
     if title_fit >= 0.75:
         positives.append("Functietitel sluit goed aan op het zoekprofiel.")
+    if it_relevance.relevant:
+        positives.append("IT-focus bevestigd via de functietitel.")
     if present_skills:
         positives.append("Herkenbare skills: " + ", ".join(present_skills[:6]))
     if job.direct_employer and not job.recruiter:
@@ -435,6 +442,11 @@ def calculate_score(job: JobPosting, profile: SearchProfile) -> ScoreResult:
         concerns=concerns,
         hard_exclusions=exclusions,
         evidence={
+            "it_relevance": {
+                "relevant": it_relevance.relevant,
+                "signals": list(it_relevance.signals),
+                "reason": it_relevance.reason,
+            },
             "distance_km": distance.exact_distance_km,
             "distance_has_data": distance.has_distance_data,
             "distance_exact": distance.exact_distance_km is not None,