Spjimr / workbench_thematic_analysis /node_01_familiarization.py
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Fix deployment: defer agent load, add missing workbench packages and credentials
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# ============================================================================
# node_01_familiarization.py — Phase 1 (PLACEHOLDER)
# ============================================================================
#
# PURPOSE (Braun & Clarke 2006)
# -----------------------------
# "Transcribing data, reading and re-reading the data, noting down
# initial ideas."
#
# Phase 1 is fundamentally a human activity — immersion in the data.
# LLM-assisted versions of this phase typically produce a summary memo
# capturing first impressions of the corpus as a whole, to prime the
# coding phase that follows.
#
# STATUS
# ------
# PLACEHOLDER. When built, this node will call the LLM with the full
# corpus (or a representative sample) and ask for a brief familiarization
# memo — what kinds of data are present, what stands out, what initial
# impressions the analyst should carry into coding.
# ============================================================================
def phase1_familiarization_node(state):
iteration = state.get("iteration", 0)
return {
"phase1_familiarization": {
"status": "placeholder",
"note": (
"Phase 1 (Familiarization) is not yet implemented. When "
"built, this node will generate a familiarization memo "
"summarizing initial impressions of the corpus."
),
},
"steps": [{
"step": iteration,
"node": "phase1_familiarization",
"action": "placeholder",
"detail": "Phase 1 not yet implemented",
}],
}