workbench_grounded_theory/node_pattern_refinement.py

# ============================================================================
# node_pattern_refinement.py — Step 2 of Nelson's framework (PLACEHOLDER)
# ============================================================================
#
# PURPOSE (from Nelson 2020)
# --------------------------
# "The pattern refinement step returns to an interpretive engagement with
#  the data through qualitative deep reading or further exploration of
#  the data."
#
# Traditional grounded theory mapping: AXIAL CODING — the researcher
# examines discovered patterns, reads representative texts deeply, and
# refines cluster boundaries through interpretive judgment.
#
# STATUS
# ------
# This is a PLACEHOLDER. Real implementation requires human-in-the-loop
# UI (per-sentence reassignment, cluster renaming, noise rescue) that
# will be built in a subsequent round.
#
# When built, this node will:
#   1. Read state.detection_result
#   2. Present each cluster's representative sentences to the researcher
#   3. Let the researcher reassign sentences / rename clusters / merge
#      or split clusters
#   4. Write the refined clustering back to state.refinement_result
# ============================================================================


def pattern_refinement_node(state):
    iteration = state.get("iteration", 0)

    return {
        "refinement_result": {
            "status": "placeholder",
            "note": (
                "Step 2 of Nelson's framework (axial coding / Pattern "
                "Refinement) is not yet implemented. Awaiting human-in-"
                "the-loop UI for per-sentence reassignment."
            ),
        },
        "steps": [{
            "step": iteration,
            "node": "pattern_refinement",
            "action": "placeholder",
            "detail": "Step 2 not yet implemented",
        }],
    }