Function _summarize_profile_for_embedding

agents/reading-agent/main.py:3056–3082

(user_profile: Dict[str, Any])

def _summarize_profile_for_embedding(user_profile: Dict[str, Any]) -> str:
    core_directions = user_profile.get("core_directions", {}) or {}
    sorted_directions = sorted(
        core_directions.items(),
        key=lambda item: float(item[1]),
        reverse=True,
    )
    direction_parts = [
        f"{_format_direction_label(direction)} ({float(weight):.2f})"
        for direction, weight in sorted_directions[:4]
    ]

    preferences = user_profile.get("methodology_preferences", {}) or {}
    preference_parts: List[str] = []
    if preferences.get("preference_data_driven_over_theory"):
        preference_parts.append("data-driven empirical work")
    if preferences.get("preference_systematic_work_over_incremental"):
        preference_parts.append("systematic end-to-end frameworks")
    if preferences.get("preference_bio_science_application"):
        preference_parts.append("bio and science applications")

    blocks: List[str] = []
    if direction_parts:
        blocks.append("Research directions: " + ", ".join(direction_parts))
    if preference_parts:
        blocks.append("Method preferences: " + ", ".join(preference_parts))
    return ". ".join(blocks)


def _get_reading_evidence_cache_dir() -> Path:
    configured = os.environ.get("READING_REPORT_EVIDENCE_CACHE_DIR", "").strip()