Spaces:
Sleeping
Sleeping
File size: 6,281 Bytes
c5d7500 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 | from __future__ import annotations
STAGE_SEQUENCE: list[tuple[str, str]] = [
("setup_inputs", "Setup & Inputs"),
("source_extraction_objective_mapping", "Source Extraction / Objective Mapping"),
("slide_outline_order", "Slide Outline & Order"),
("title_generation", "Title Generation"),
("text_generation", "Text Generation"),
("image_visual_asset_generation", "Image / Visual Asset Generation"),
("aesthetic_ordering_visual_composition", "Aesthetic Ordering / Visual Composition"),
("technical_review", "Technical Review"),
("pedagogical_review", "Pedagogical Review"),
("aesthetic_review", "Aesthetic Review"),
("final_render_export", "Final Render & Export"),
("audit_log_version_history", "Audit Log / Version History"),
]
STAGE_IDS = [stage_id for stage_id, _label in STAGE_SEQUENCE]
STAGE_LABELS = dict(STAGE_SEQUENCE)
APPROVAL_REQUIRED_STAGE_IDS = STAGE_IDS[:10]
STAGE_RUBRICS: dict[str, list[tuple[str, str, float]]] = {
"setup_inputs": [
("required_inputs_present", "Required inputs present", 1.4),
("url_validity", "URL validity", 1.0),
("render_mode_safety", "Render mode safety", 1.0),
],
"source_extraction_objective_mapping": [
("source_extraction_completeness", "Source extraction completeness", 1.0),
("objective_clarity", "Objective clarity", 1.1),
("objective_uniqueness", "Objective uniqueness", 0.8),
],
"slide_outline_order": [
("objective_coverage", "Objective coverage", 1.4),
("logical_flow", "Logical flow", 1.0),
("appropriate_slide_count", "Appropriate slide count", 0.8),
("no_major_redundancy", "No major redundancy", 0.8),
],
"title_generation": [
("title_clarity", "Title clarity", 1.1),
("title_specificity", "Title specificity", 1.0),
("objective_alignment", "Objective alignment", 1.2),
],
"text_generation": [
("clarity", "Clarity", 1.0),
("text_density", "Text density", 1.3),
("source_grounding", "Source grounding", 1.3),
("speaker_notes_quality", "Speaker notes quality", 1.0),
],
"image_visual_asset_generation": [
("visual_relevance", "Visual relevance", 1.0),
("asset_completeness", "Asset completeness", 1.3),
("alt_text_presence", "Alt text presence", 1.1),
("license_or_generation_metadata", "License or generation metadata", 1.0),
],
"aesthetic_ordering_visual_composition": [
("layout_schema_validity", "Layout schema validity", 1.4),
("slot_compliance", "Slot compliance", 1.1),
("visual_hierarchy", "Visual hierarchy", 0.8),
("readability", "Readability", 1.0),
],
"technical_review": [
("technical_accuracy", "Technical accuracy", 1.3),
("unsupported_claim_detection", "Unsupported claim detection", 1.5),
("terminology_consistency", "Terminology consistency", 0.8),
],
"pedagogical_review": [
("objective_coverage", "Objective coverage", 1.4),
("learning_progression", "Learning progression", 1.0),
("examples_or_applications", "Examples or applications", 0.8),
("speaker_notes_teachability", "Speaker notes teachability", 1.1),
],
"aesthetic_review": [
("layout_consistency", "Layout consistency", 1.1),
("readability", "Readability", 1.0),
("accessibility", "Accessibility", 1.3),
("brand_template_compliance", "Brand/template compliance", 1.0),
],
"final_render_export": [
("preflight_passed", "Preflight passed", 1.6),
("all_required_approvals_valid", "All required approvals valid", 1.2),
("no_stale_stages", "No stale stages", 1.1),
("export_target_safety", "Export target safety", 1.0),
],
"audit_log_version_history": [
("audit_events_present", "Audit events present", 1.0),
("artifact_versions_traceable", "Artifact versions traceable", 1.2),
("review_notes_traceable", "Reviewer notes traceable", 0.8),
],
}
TEXT_DENSITY_LIMITS: dict[str, dict[str, int]] = {
"intro": {"max_visible_words": 35, "max_bullets": 0},
"motivation": {"max_visible_words": 55, "max_bullets": 3},
"concept": {"max_visible_words": 65, "max_bullets": 4},
"worked_example": {"max_visible_words": 90, "max_bullets": 5},
"procedure": {"max_visible_words": 90, "max_bullets": 6},
"comparison": {"max_visible_words": 85, "max_bullets": 5},
"common_misconception": {"max_visible_words": 75, "max_bullets": 4},
"knowledge_check": {"max_visible_words": 100, "max_bullets": 6},
"demo_setup": {"max_visible_words": 80, "max_bullets": 5},
"demo_walkthrough": {"max_visible_words": 90, "max_bullets": 6},
"summary": {"max_visible_words": 70, "max_bullets": 5},
"transition": {"max_visible_words": 25, "max_bullets": 0},
"unknown": {"max_visible_words": 65, "max_bullets": 4},
}
INSTRUCTIONAL_ROLES = {
"concept",
"worked_example",
"procedure",
"comparison",
"common_misconception",
"knowledge_check",
"demo_setup",
"demo_walkthrough",
"summary",
}
APPROVED_LAYOUTS: dict[str, dict[str, object]] = {
"title_only": {
"required_slots": {"title"},
"optional_slots": set(),
"slot_word_limits": {"title": 14},
},
"title_body": {
"required_slots": {"title", "body"},
"optional_slots": {"subtitle"},
"slot_word_limits": {"title": 14, "body": 80, "subtitle": 24},
},
"title_bullets_visual": {
"required_slots": {"title", "bullets", "visual"},
"optional_slots": {"caption"},
"slot_word_limits": {"title": 14, "bullets": 90, "visual": 8, "caption": 18},
},
"worked_example": {
"required_slots": {"title", "problem", "steps"},
"optional_slots": {"visual", "answer"},
"slot_word_limits": {"title": 14, "problem": 45, "steps": 100, "visual": 8, "answer": 30},
},
"knowledge_check": {
"required_slots": {"title", "question", "options"},
"optional_slots": {"answer"},
"slot_word_limits": {"title": 14, "question": 55, "options": 70, "answer": 28},
},
}
RAW_COORDINATE_KEYS = {"x", "y", "width", "height", "left", "top", "w", "h"}
|