Robert Helewka
a967f73d09
Add CLAUDE.md defining the Palladium master notebook conventions and Red Panda Approval criteria, plus a review-notebook slash command for LLM-driven notebook review. Expand .gitignore to block client/engagement documents and generated exports, keeping masters client-clean while allowing text/image sources. Normalize slider widget numeric values from floats to integers in notebook JSON.
63 lines
1.8 KiB
Python
63 lines
1.8 KiB
Python
"""diaglib — the CX AI Advisory Diagnostic engine (Mercury Notebook Pattern).
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All math and data contracts live here; the notebook only arranges and
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renders. See docs/build_spec_v1.md for the instrument's specification.
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"""
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from .config import configs_dir, list_industries, load_config
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from .export import (
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CSV_COLUMNS,
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engagement_json,
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load_engagement,
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scores_dataframe,
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write_exports,
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)
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from .models import (
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BASELINE_FIELDS,
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CONFIDENCE_ICON,
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Competency,
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CompetencyScore,
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DiagnosticConfig,
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DriverValue,
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Engagement,
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OperationalBaseline,
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Participant,
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UnlockMove,
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ValueAtStake,
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)
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from .scoring import (
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build_engagement,
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build_scores,
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dimension_rollup,
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evidence_coverage,
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heatmap_grid,
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make_engagement_id,
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parse_participants,
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)
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from .staging import backstage, on_stage
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from .value_math import (
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MONTHS_18,
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binding_constraints,
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driver_value,
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html_money,
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money,
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unlock_sequence,
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value_at_stake,
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weakest_foundational_score,
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)
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from .visuals import heatmap_fig, split_fig, unlock_fig, value_bands_fig
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__all__ = [
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"BASELINE_FIELDS", "CONFIDENCE_ICON", "CSV_COLUMNS", "MONTHS_18",
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"Competency", "CompetencyScore", "DiagnosticConfig", "DriverValue",
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"Engagement", "OperationalBaseline", "Participant", "UnlockMove",
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"ValueAtStake", "backstage", "binding_constraints", "build_engagement",
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"build_scores", "configs_dir", "dimension_rollup", "driver_value",
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"engagement_json", "evidence_coverage", "heatmap_fig", "heatmap_grid",
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"html_money", "list_industries", "load_config", "load_engagement",
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"make_engagement_id", "money", "on_stage", "parse_participants",
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"scores_dataframe", "split_fig", "unlock_fig", "unlock_sequence",
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"value_at_stake", "value_bands_fig", "weakest_foundational_score",
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"write_exports",
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]
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