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Phase 8 implemented
Browse files- README.md +12 -0
- docs/progress.md +16 -2
- session/phase-log.md +1 -0
- session/summary.md +19 -19
- viral_script_engine/data/curriculum/easy_tier.jsonl +10 -10
- viral_script_engine/data/curriculum/hard_tier.jsonl +5 -5
- viral_script_engine/data/curriculum/medium_tier.jsonl +10 -10
- viral_script_engine/data/persona_advice_kb.json +30 -0
- viral_script_engine/environment/env.py +43 -0
- viral_script_engine/environment/observations.py +5 -2
- viral_script_engine/personas/__init__.py +5 -0
- viral_script_engine/personas/creator_profile.py +40 -0
- viral_script_engine/personas/persona_kb.py +31 -0
- viral_script_engine/personas/profile_generator.py +114 -0
- viral_script_engine/rewards/r8_persona_fit.py +105 -0
- viral_script_engine/rewards/reward_aggregator.py +1 -1
- viral_script_engine/scripts/run_dummy_episode.py +34 -4
- viral_script_engine/tests/test_phase8.py +310 -0
- viral_script_engine/training/rollout_function.py +14 -0
README.md
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@@ -149,6 +149,18 @@ The Arbitrator policy is trained end-to-end: the model generates an action JSON,
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Short-form video drives the majority of time-on-platform across Instagram Reels and Threads. A creator tool that genuinely improves script quality β not through templates but through reasoning β directly increases content quality, creator retention, and platform engagement. The multi-agent RL approach means the system can be adapted to any regional market, niche, or platform format by swapping the cultural knowledge base, without retraining the core policy. This is how Meta builds creator tooling that scales from Mumbai Gen Z to Hinglish finance to rural agriculture content.
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---
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## HuggingFace Space
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Short-form video drives the majority of time-on-platform across Instagram Reels and Threads. A creator tool that genuinely improves script quality β not through templates but through reasoning β directly increases content quality, creator retention, and platform engagement. The multi-agent RL approach means the system can be adapted to any regional market, niche, or platform format by swapping the cultural knowledge base, without retraining the core policy. This is how Meta builds creator tooling that scales from Mumbai Gen Z to Hinglish finance to rural agriculture content.
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### Creator Persona Modelling β Ready for Production
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The Creator Profile in the observation space uses only data Meta already has:
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follower count, posting frequency, engagement rate, niche. To deploy this
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system at scale, Meta would replace the simulated profiles with real creator
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data from their internal systems. No retraining needed β the Arbitrator
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already knows how to use profile data because it trained on it.
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This turns the Viral Script Debugging Engine from a generic script coach
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into a personalised creative collaborator for 80M+ creators, each receiving
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advice calibrated to exactly where they are in their growth journey.
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---
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## HuggingFace Space
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docs/progress.md
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β
test_phase7.py β 21 tests, all passing
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β
Phase 7 gate β PHASE 7 GATE: PASS, process rewards active, reasoning chain verified
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## Phase 8 β
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---
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β
test_phase7.py β 21 tests, all passing
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β
Phase 7 gate β PHASE 7 GATE: PASS, process rewards active, reasoning chain verified
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## Phase 8 β Creator Persona Modelling
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β
CreatorProfile β pydantic schema with tier, follower_count, engagement_rate, weak/strong points
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β
CreatorTier + PostingFrequency enums β BEGINNER/GROWING/ESTABLISHED/VERIFIED tiers
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β
ProfileGenerator β deterministic synthetic profiles per tier; generate_batch() with realistic distribution
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β
PersonaKB β wrapper around persona_advice_kb.json for tier-keyed rule lookups
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β
persona_advice_kb.json β priority/deprioritised/forbidden advice rules per tier
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β
PersonaFitReward (R8) β scores action-tier fit: 1.0 priority, 0.5 neutral, 0.2 deprioritised, 0.0 forbidden
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β
observations.py β r8_persona_fit in RewardComponents; creator_profile in Observation; weights updated (R1:0.18β¦R8:0.10)
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β
env.py β ProfileGenerator + R8 wired; _generate_profile_for_difficulty(); profile in state()/obs/info
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reward_aggregator.py β r8_persona_fit added to anti-gaming component fields
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β
rollout_function.py β CREATOR PROFILE section added to observation prompt template
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β
curriculum JSONL files β creator_profile field added to all 25 episode configs
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β
run_dummy_episode.py β Creator Profile panel in Act 1; Phase 8 gate check
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β
test_phase8.py β 25 tests, all passing
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β
README.md β "Creator Persona Modelling β Ready for Production" section added
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β
Phase 8 gate β PHASE 8 GATE: PASS, R8 firing, profile tier in episode log
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---
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session/phase-log.md
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[2026-04-26] [Phase 5] COMPLETE β HF deploy infra, demo, README, submission_check 10/10 PASS, demo end-to-end ok
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[2026-04-26] [Phase 6] COMPLETE β ModerationAgent, OriginalityAgent, R6/R7 rewards, 16 tests PASS, gate PASS
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[2026-04-26] [Phase 7] COMPLETE β ReasoningParser, ProcessVerifier, ProcessReward, 21 tests PASS, gate PASS
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---
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[2026-04-26] [Phase 5] COMPLETE β HF deploy infra, demo, README, submission_check 10/10 PASS, demo end-to-end ok
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[2026-04-26] [Phase 6] COMPLETE β ModerationAgent, OriginalityAgent, R6/R7 rewards, 16 tests PASS, gate PASS
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[2026-04-26] [Phase 7] COMPLETE β ReasoningParser, ProcessVerifier, ProcessReward, 21 tests PASS, gate PASS
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[2026-04-26] [Phase 8] COMPLETE β CreatorProfile, ProfileGenerator, R8 PersonaFit, 25 tests PASS, gate PASS
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---
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session/summary.md
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2026-04-26
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### Phase
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Phase
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### What Was Done
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- Created
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- Created
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- Created rewards/
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- Updated environment/observations.py β
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- Updated environment/env.py β
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- Updated rewards/reward_aggregator.py β
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- Updated training/rollout_function.py β
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- Updated scripts/run_dummy_episode.py β
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- Phase
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### What Was NOT Done (carry over)
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- Real GRPO training β requires GPU (Colab)
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- Baseline v2 run β requires Anthropic API key (run separately)
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### Errors Encountered
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### Tests Status
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Phase
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### Commit Messages Generated
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feat(
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---
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2026-04-26
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### Phase
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Phase 8 β Creator Persona Modelling
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### What Was Done
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- Created personas/__init__.py, creator_profile.py, persona_kb.py, profile_generator.py
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- Created data/persona_advice_kb.json β tier-keyed advice rules (beginner/growing/established/verified)
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- Created rewards/r8_persona_fit.py β PersonaFitReward with 1.0/0.5/0.2/0.0 tier scoring + +0.1 recurring weakness bonus
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- Updated environment/observations.py β r8_persona_fit in RewardComponents; creator_profile in Observation; weights rebalanced
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- Updated environment/env.py β ProfileGenerator + PersonaFitReward wired in; profile generated per episode based on difficulty
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- Updated rewards/reward_aggregator.py β r8_persona_fit added to anti-gaming drop check fields
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- Updated training/rollout_function.py β CREATOR PROFILE section added to observation prompt
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- Updated all 3 curriculum JSONL files (25 episodes) with creator_profile field
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- Updated scripts/run_dummy_episode.py β CREATOR PROFILE panel; Phase 8 gate check
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- Created tests/test_phase8.py β 25 tests, all passing
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- Updated README.md β "Creator Persona Modelling β Ready for Production" section
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- Phase 8 gate: PHASE 8 GATE: PASS β Profile tier: growing/established
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### What Was NOT Done (carry over)
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- Real GRPO training β requires GPU (Colab)
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### Errors Encountered
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- PersonaFitReward tests: +0.1 weakness bonus was applying unexpectedly β fixed by passing explicit weak_points in tests
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- verified tier: cta_placement is correctly forbidden (not neutral) β fixed test to use growing tier for neutral case
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- CreatorTier enum serialized as "CreatorTier.ESTABLISHED" β fixed with model_dump(mode="json")
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### Tests Status
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Phase 8: 25 passed
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All phase tests combined (6+7+8+rewards+training): 85 passed, 1 skipped
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### Commit Messages Generated
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feat(phase8): creator persona modelling β ProfileGenerator, R8 PersonaFit, 25 tests PASS, gate PASS
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---
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viral_script_engine/data/curriculum/easy_tier.jsonl
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{"episode_config_id": "easy_001", "difficulty": "easy", "script_id": "S01", "script_text": "Okay so real talk
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{"episode_config_id": "easy_002", "difficulty": "easy", "script_id": "S02", "script_text": "Five outfits, one thousand rupees. Let's go. Outfit one
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{"episode_config_id": "easy_003", "difficulty": "easy", "script_id": "S03", "script_text": "Your phone is lying to you about battery life. The percentage you see? It's not real. Phone manufacturers calibrate the display to show you one hundred percent when the actual chemical capacity is already at eighty five. This is intentional
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{"episode_config_id": "easy_004", "difficulty": "easy", "script_id": "S04", "script_text": "Kisan bhai, aaj main aapko bataunga ki kaise aap apni fasal ki productivity tees percent tak badha sakte hain. Main khud Madhya Pradesh se hoon, humari family teen generation se khet karti hai. Pehli baat
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{"episode_config_id": "easy_005", "difficulty": "easy", "script_id": "S01", "script_text": "Okay so real talk
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{"episode_config_id": "easy_006", "difficulty": "easy", "script_id": "S02", "script_text": "Five outfits, one thousand rupees. Let's go. Outfit one
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{"episode_config_id": "easy_007", "difficulty": "easy", "script_id": "S03", "script_text": "Your phone is lying to you about battery life. The percentage you see? It's not real. Phone manufacturers calibrate the display to show you one hundred percent when the actual chemical capacity is already at eighty five. This is intentional
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{"episode_config_id": "easy_008", "difficulty": "easy", "script_id": "S04", "script_text": "Kisan bhai, aaj main aapko bataunga ki kaise aap apni fasal ki productivity tees percent tak badha sakte hain. Main khud Madhya Pradesh se hoon, humari family teen generation se khet karti hai. Pehli baat
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{"episode_config_id": "easy_009", "difficulty": "easy", "script_id": "S01", "script_text": "Okay so real talk
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{"episode_config_id": "easy_010", "difficulty": "easy", "script_id": "S02", "script_text": "Five outfits, one thousand rupees. Let's go. Outfit one
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{"episode_config_id": "easy_001", "difficulty": "easy", "script_id": "S01", "script_text": "Okay so real talk \u00e2\u20ac\u201d I've been broke my whole life. Like actually broke. Not the aesthetic broke, the can't-pay-rent broke. And then one day I found this one trick that changed everything. But first, let me show you my apartment. Pretty nice right? Took me three years to get here. The secret? Mutual funds. Just SIPs. I'm serious. Go to Zerodha right now, open an account, put in five hundred rupees a month, and don't touch it for five years. That's it. That's the whole secret. If you want to know which funds I use, follow me and I'll post the list tomorrow. Like and save this video before Instagram hides it.", "region": "Mumbai Gen Z", "platform": "Reels", "niche": "personal finance", "dominant_flaw": "buried_hook", "expected_critique_class": "hook_weakness", "expected_action": "hook_rewrite", "curriculum_notes": "One obvious flaw. Critic should win immediately. Strong reward signal on step 1.", "creator_profile": {"creator_id": "growing_personal_finance_2110903040", "tier": "growing", "follower_count": 7242, "posting_frequency": "regular", "niche": "personal finance", "niche_maturity": "established_in_niche", "avg_engagement_rate": 0.0457, "avg_retention_rate": 0.622, "past_weak_points": ["section_disorder", "retention_drop", "cultural_mismatch"], "past_strong_points": ["originality_low", "hook_weakness"], "voice_descriptors": ["Hinglish", "regional", "storytelling", "direct"], "platform_primary": "Shorts"}}
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{"episode_config_id": "easy_002", "difficulty": "easy", "script_id": "S02", "script_text": "Five outfits, one thousand rupees. Let's go. Outfit one \u00e2\u20ac\u201d thrifted kurta from Linking Road, forty rupees, styled with mom's old dupatta, zero rupees. Total forty. Outfit two \u00e2\u20ac\u201d black jeans I've had since class eleven, Sarojini Nagar crop top, eighty rupees. Total eighty. Outfit three \u00e2\u20ac\u201d wait I need to find it. Okay found it. This lehenga skirt as a maxi, college fest stall, two hundred rupees. Outfit four \u00e2\u20ac\u201d oversized shirt from bhai's cupboard, zero, with thrifted belt, thirty rupees. Outfit five \u00e2\u20ac\u201d this entire saree drape tutorial took me two hours so please save this video. Saree from nani, zero. Blouse stitched locally, one fifty. Grand total \u00e2\u20ac\u201d five hundred rupees for five outfits. Comment your city and I'll do a version for your local markets.", "region": "Pan-India English", "platform": "Shorts", "niche": "fashion", "dominant_flaw": "no_cta", "expected_critique_class": "cta_weakness", "expected_action": "cta_placement", "curriculum_notes": "One obvious flaw. Critic should win immediately. Strong reward signal on step 1.", "creator_profile": {"creator_id": "growing_fashion_2037892165", "tier": "growing", "follower_count": 9322, "posting_frequency": "frequent", "niche": "fashion", "niche_maturity": "new_to_niche", "avg_engagement_rate": 0.0556, "avg_retention_rate": 0.553, "past_weak_points": ["section_disorder", "cta_weakness", "cultural_mismatch"], "past_strong_points": ["cta_buried", "retention_drop"], "voice_descriptors": ["direct", "educational", "storytelling"], "platform_primary": "TikTok"}}
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{"episode_config_id": "easy_003", "difficulty": "easy", "script_id": "S03", "script_text": "Your phone is lying to you about battery life. The percentage you see? It's not real. Phone manufacturers calibrate the display to show you one hundred percent when the actual chemical capacity is already at eighty five. This is intentional \u00e2\u20ac\u201d it protects the battery from the most damaging charge range above ninety percent. So when your phone shows full, you actually have eighty five percent usable charge. The fix is simple: charge to eighty percent, don't let it drop below twenty. You'll get two extra years from your battery. Also disable optimised battery charging \u00e2\u20ac\u201d it's not doing what you think. The actual setting that helps is in Developer Options, set USB configuration to charging only. Subscribe if you want the full battery myth-busting series.", "region": "Tier-2 Hindi belt", "platform": "Reels", "niche": "tech", "dominant_flaw": "buried_hook", "expected_critique_class": "hook_weakness", "expected_action": "hook_rewrite", "curriculum_notes": "One obvious flaw. Critic should win immediately. Strong reward signal on step 1.", "creator_profile": {"creator_id": "beginner_tech_582308182", "tier": "beginner", "follower_count": 748, "posting_frequency": "rare", "niche": "tech", "niche_maturity": "new_to_niche", "avg_engagement_rate": 0.0933, "avg_retention_rate": 0.607, "past_weak_points": ["cultural_mismatch", "retention_drop"], "past_strong_points": ["originality_low", "section_disorder"], "voice_descriptors": ["regional", "humorous", "educational", "relatable"], "platform_primary": "Shorts"}}
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{"episode_config_id": "easy_004", "difficulty": "easy", "script_id": "S04", "script_text": "Kisan bhai, aaj main aapko bataunga ki kaise aap apni fasal ki productivity tees percent tak badha sakte hain. Main khud Madhya Pradesh se hoon, humari family teen generation se khet karti hai. Pehli baat \u00e2\u20ac\u201d soil testing. Har teen saal mein ek baar karwao. Mitti ka pH level agar 6.5 se neeche hai toh chuna daalo, upar hai toh sulphur. Doosri baat \u00e2\u20ac\u201d drip irrigation. Paani ki bachat hogi, fertiliser directly root tak jayega. Teesri baat \u00e2\u20ac\u201d mixed cropping. Sirf gehoon mat ugao. Ek row mein sarson daalo. Ye risk bhi kam karta hai aur zameen ko nitrogen bhi deta hai. Yeh teeno cheez agar aap karo toh guarantee hai production badhegi. Video achi lagi toh share karo apne kisan dosto ke saath.", "region": "Mumbai Gen Z", "platform": "Reels", "niche": "agriculture", "dominant_flaw": "no_cta", "expected_critique_class": "cta_weakness", "expected_action": "cta_placement", "curriculum_notes": "One obvious flaw. Critic should win immediately. Strong reward signal on step 1.", "creator_profile": {"creator_id": "growing_agriculture_237017950", "tier": "growing", "follower_count": 5130, "posting_frequency": "frequent", "niche": "agriculture", "niche_maturity": "new_to_niche", "avg_engagement_rate": 0.0433, "avg_retention_rate": 0.398, "past_weak_points": ["retention_drop", "cta_buried", "cta_weakness"], "past_strong_points": ["pacing_issue", "section_disorder"], "voice_descriptors": ["relatable", "storytelling", "educational"], "platform_primary": "Reels"}}
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{"episode_config_id": "easy_005", "difficulty": "easy", "script_id": "S01", "script_text": "Okay so real talk \u00e2\u20ac\u201d I've been broke my whole life. Like actually broke. Not the aesthetic broke, the can't-pay-rent broke. And then one day I found this one trick that changed everything. But first, let me show you my apartment. Pretty nice right? Took me three years to get here. The secret? Mutual funds. Just SIPs. I'm serious. Go to Zerodha right now, open an account, put in five hundred rupees a month, and don't touch it for five years. That's it. That's the whole secret. If you want to know which funds I use, follow me and I'll post the list tomorrow. Like and save this video before Instagram hides it.", "region": "Pan-India English", "platform": "Shorts", "niche": "personal finance", "dominant_flaw": "buried_hook", "expected_critique_class": "hook_weakness", "expected_action": "hook_rewrite", "curriculum_notes": "One obvious flaw. Critic should win immediately. Strong reward signal on step 1.", "creator_profile": {"creator_id": "growing_personal_finance_2110903040", "tier": "growing", "follower_count": 7242, "posting_frequency": "regular", "niche": "personal finance", "niche_maturity": "established_in_niche", "avg_engagement_rate": 0.0457, "avg_retention_rate": 0.622, "past_weak_points": ["section_disorder", "retention_drop", "cultural_mismatch"], "past_strong_points": ["originality_low", "hook_weakness"], "voice_descriptors": ["Hinglish", "regional", "storytelling", "direct"], "platform_primary": "Shorts"}}
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{"episode_config_id": "easy_006", "difficulty": "easy", "script_id": "S02", "script_text": "Five outfits, one thousand rupees. Let's go. Outfit one \u00e2\u20ac\u201d thrifted kurta from Linking Road, forty rupees, styled with mom's old dupatta, zero rupees. Total forty. Outfit two \u00e2\u20ac\u201d black jeans I've had since class eleven, Sarojini Nagar crop top, eighty rupees. Total eighty. Outfit three \u00e2\u20ac\u201d wait I need to find it. Okay found it. This lehenga skirt as a maxi, college fest stall, two hundred rupees. Outfit four \u00e2\u20ac\u201d oversized shirt from bhai's cupboard, zero, with thrifted belt, thirty rupees. Outfit five \u00e2\u20ac\u201d this entire saree drape tutorial took me two hours so please save this video. Saree from nani, zero. Blouse stitched locally, one fifty. Grand total \u00e2\u20ac\u201d five hundred rupees for five outfits. Comment your city and I'll do a version for your local markets.", "region": "Tier-2 Hindi belt", "platform": "Reels", "niche": "fashion", "dominant_flaw": "no_cta", "expected_critique_class": "cta_weakness", "expected_action": "cta_placement", "curriculum_notes": "One obvious flaw. Critic should win immediately. Strong reward signal on step 1.", "creator_profile": {"creator_id": "growing_fashion_2037892165", "tier": "growing", "follower_count": 9322, "posting_frequency": "frequent", "niche": "fashion", "niche_maturity": "new_to_niche", "avg_engagement_rate": 0.0556, "avg_retention_rate": 0.553, "past_weak_points": ["section_disorder", "cta_weakness", "cultural_mismatch"], "past_strong_points": ["cta_buried", "retention_drop"], "voice_descriptors": ["direct", "educational", "storytelling"], "platform_primary": "TikTok"}}
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{"episode_config_id": "easy_007", "difficulty": "easy", "script_id": "S03", "script_text": "Your phone is lying to you about battery life. The percentage you see? It's not real. Phone manufacturers calibrate the display to show you one hundred percent when the actual chemical capacity is already at eighty five. This is intentional \u00e2\u20ac\u201d it protects the battery from the most damaging charge range above ninety percent. So when your phone shows full, you actually have eighty five percent usable charge. The fix is simple: charge to eighty percent, don't let it drop below twenty. You'll get two extra years from your battery. Also disable optimised battery charging \u00e2\u20ac\u201d it's not doing what you think. The actual setting that helps is in Developer Options, set USB configuration to charging only. Subscribe if you want the full battery myth-busting series.", "region": "Mumbai Gen Z", "platform": "Reels", "niche": "tech", "dominant_flaw": "buried_hook", "expected_critique_class": "hook_weakness", "expected_action": "hook_rewrite", "curriculum_notes": "One obvious flaw. Critic should win immediately. Strong reward signal on step 1.", "creator_profile": {"creator_id": "beginner_tech_582308182", "tier": "beginner", "follower_count": 748, "posting_frequency": "rare", "niche": "tech", "niche_maturity": "new_to_niche", "avg_engagement_rate": 0.0933, "avg_retention_rate": 0.607, "past_weak_points": ["cultural_mismatch", "retention_drop"], "past_strong_points": ["originality_low", "section_disorder"], "voice_descriptors": ["regional", "humorous", "educational", "relatable"], "platform_primary": "Shorts"}}
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{"episode_config_id": "easy_008", "difficulty": "easy", "script_id": "S04", "script_text": "Kisan bhai, aaj main aapko bataunga ki kaise aap apni fasal ki productivity tees percent tak badha sakte hain. Main khud Madhya Pradesh se hoon, humari family teen generation se khet karti hai. Pehli baat \u00e2\u20ac\u201d soil testing. Har teen saal mein ek baar karwao. Mitti ka pH level agar 6.5 se neeche hai toh chuna daalo, upar hai toh sulphur. Doosri baat \u00e2\u20ac\u201d drip irrigation. Paani ki bachat hogi, fertiliser directly root tak jayega. Teesri baat \u00e2\u20ac\u201d mixed cropping. Sirf gehoon mat ugao. Ek row mein sarson daalo. Ye risk bhi kam karta hai aur zameen ko nitrogen bhi deta hai. Yeh teeno cheez agar aap karo toh guarantee hai production badhegi. Video achi lagi toh share karo apne kisan dosto ke saath.", "region": "Pan-India English", "platform": "Shorts", "niche": "agriculture", "dominant_flaw": "no_cta", "expected_critique_class": "cta_weakness", "expected_action": "cta_placement", "curriculum_notes": "One obvious flaw. Critic should win immediately. Strong reward signal on step 1.", "creator_profile": {"creator_id": "growing_agriculture_237017950", "tier": "growing", "follower_count": 5130, "posting_frequency": "frequent", "niche": "agriculture", "niche_maturity": "new_to_niche", "avg_engagement_rate": 0.0433, "avg_retention_rate": 0.398, "past_weak_points": ["retention_drop", "cta_buried", "cta_weakness"], "past_strong_points": ["pacing_issue", "section_disorder"], "voice_descriptors": ["relatable", "storytelling", "educational"], "platform_primary": "Reels"}}
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{"episode_config_id": "easy_009", "difficulty": "easy", "script_id": "S01", "script_text": "Okay so real talk \u00e2\u20ac\u201d I've been broke my whole life. Like actually broke. Not the aesthetic broke, the can't-pay-rent broke. And then one day I found this one trick that changed everything. But first, let me show you my apartment. Pretty nice right? Took me three years to get here. The secret? Mutual funds. Just SIPs. I'm serious. Go to Zerodha right now, open an account, put in five hundred rupees a month, and don't touch it for five years. That's it. That's the whole secret. If you want to know which funds I use, follow me and I'll post the list tomorrow. Like and save this video before Instagram hides it.", "region": "Tier-2 Hindi belt", "platform": "Reels", "niche": "personal finance", "dominant_flaw": "buried_hook", "expected_critique_class": "hook_weakness", "expected_action": "hook_rewrite", "curriculum_notes": "One obvious flaw. Critic should win immediately. Strong reward signal on step 1.", "creator_profile": {"creator_id": "growing_personal_finance_2110903040", "tier": "growing", "follower_count": 7242, "posting_frequency": "regular", "niche": "personal finance", "niche_maturity": "established_in_niche", "avg_engagement_rate": 0.0457, "avg_retention_rate": 0.622, "past_weak_points": ["section_disorder", "retention_drop", "cultural_mismatch"], "past_strong_points": ["originality_low", "hook_weakness"], "voice_descriptors": ["Hinglish", "regional", "storytelling", "direct"], "platform_primary": "Shorts"}}
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{"episode_config_id": "easy_010", "difficulty": "easy", "script_id": "S02", "script_text": "Five outfits, one thousand rupees. Let's go. Outfit one \u00e2\u20ac\u201d thrifted kurta from Linking Road, forty rupees, styled with mom's old dupatta, zero rupees. Total forty. Outfit two \u00e2\u20ac\u201d black jeans I've had since class eleven, Sarojini Nagar crop top, eighty rupees. Total eighty. Outfit three \u00e2\u20ac\u201d wait I need to find it. Okay found it. This lehenga skirt as a maxi, college fest stall, two hundred rupees. Outfit four \u00e2\u20ac\u201d oversized shirt from bhai's cupboard, zero, with thrifted belt, thirty rupees. Outfit five \u00e2\u20ac\u201d this entire saree drape tutorial took me two hours so please save this video. Saree from nani, zero. Blouse stitched locally, one fifty. Grand total \u00e2\u20ac\u201d five hundred rupees for five outfits. Comment your city and I'll do a version for your local markets.", "region": "Mumbai Gen Z", "platform": "Reels", "niche": "fashion", "dominant_flaw": "no_cta", "expected_critique_class": "cta_weakness", "expected_action": "cta_placement", "curriculum_notes": "One obvious flaw. Critic should win immediately. Strong reward signal on step 1.", "creator_profile": {"creator_id": "growing_fashion_2037892165", "tier": "growing", "follower_count": 9322, "posting_frequency": "frequent", "niche": "fashion", "niche_maturity": "new_to_niche", "avg_engagement_rate": 0.0556, "avg_retention_rate": 0.553, "past_weak_points": ["section_disorder", "cta_weakness", "cultural_mismatch"], "past_strong_points": ["cta_buried", "retention_drop"], "voice_descriptors": ["direct", "educational", "storytelling"], "platform_primary": "TikTok"}}
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viral_script_engine/data/curriculum/hard_tier.jsonl
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{"episode_config_id": "hard_001", "difficulty": "hard", "script_id": "S08", "script_text": "The two-minute rule changed my life. If something takes less than two minutes, do it right now. Don't add it to a list. Don't schedule it. Just do it. I cleared my inbox in one hour using this. But here's the problem nobody talks about
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{"episode_config_id": "hard_002", "difficulty": "hard", "script_id": "S09", "script_text": "Yaar, ek baat seriously poochhni thi. Tum log salary aate hi kya karte ho? Mostly kharch ho jaati hai, right? Main bhi pehle aisa hi tha. Phir ek cheez seekhi
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{"episode_config_id": "hard_003", "difficulty": "hard", "script_id": "S10", "script_text": "Bhai, ChatGPT se kaam karvana seekh lo warna peeche reh jaoge. Aur main seriously bol raha hoon. Pehla tip
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{"episode_config_id": "hard_004", "difficulty": "hard", "script_id": "S08", "script_text": "The two-minute rule changed my life. If something takes less than two minutes, do it right now. Don't add it to a list. Don't schedule it. Just do it. I cleared my inbox in one hour using this. But here's the problem nobody talks about
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{"episode_config_id": "hard_005", "difficulty": "hard", "script_id": "S09", "script_text": "Yaar, ek baat seriously poochhni thi. Tum log salary aate hi kya karte ho? Mostly kharch ho jaati hai, right? Main bhi pehle aisa hi tha. Phir ek cheez seekhi
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{"episode_config_id": "hard_001", "difficulty": "hard", "script_id": "S08", "script_text": "The two-minute rule changed my life. If something takes less than two minutes, do it right now. Don't add it to a list. Don't schedule it. Just do it. I cleared my inbox in one hour using this. But here's the problem nobody talks about \u00e2\u20ac\u201d the two-minute rule is also how you waste your entire day. Because every tiny thing feels urgent, you never do deep work. So here's the actual system: two-minute rule applies only before 10am. After 10am, time-block two hours of no-interruptions work. Nothing gets done during those two hours except your one most important task. The combination \u00e2\u20ac\u201d morning two-minute rule, afternoon deep work \u00e2\u20ac\u201d is the actual productivity stack. Save this and try it for one week. Tell me in comments if it works.", "region": "Pan-India English", "platform": "Reels", "niche": "productivity", "dominant_flaw": "conflicting_advice", "expected_critique_class": "coherence_issue", "expected_action": "section_reorder", "curriculum_notes": "Fixing the top critique risks damaging R3 cultural alignment. Explicit reward conflict.", "creator_profile": {"creator_id": "established_productivity_1518881426", "tier": "established", "follower_count": 24594, "posting_frequency": "daily", "niche": "productivity", "niche_maturity": "established_in_niche", "avg_engagement_rate": 0.0372, "avg_retention_rate": 0.545, "past_weak_points": ["hook_weakness"], "past_strong_points": ["pacing_issue", "cultural_mismatch"], "voice_descriptors": ["relatable", "data-driven", "humorous", "Hinglish"], "platform_primary": "TikTok"}}
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{"episode_config_id": "hard_002", "difficulty": "hard", "script_id": "S09", "script_text": "Yaar, ek baat seriously poochhni thi. Tum log salary aate hi kya karte ho? Mostly kharch ho jaati hai, right? Main bhi pehle aisa hi tha. Phir ek cheez seekhi \u00e2\u20ac\u201d pay yourself first. Matlab salary aate hi, pehle apne aap ko pay karo. Kaise? Simple. Ek alag savings account banao. Salary aate hi automatically transfer ho jaye \u00e2\u20ac\u201d teen se paanch percent. Itna toh nahi lagega. Ek mahine baad dekho. Paise hain. Magic nahi hai, sirf automation hai. Main iss ek cheez se teen saal mein teen lakh save kar chuka hoon. Aur haan \u00e2\u20ac\u201d FD mat karo. Liquid fund daalo. Returns better hain, anytime nikal sakte ho. Koi question ho toh comment karo. Agle video mein main best liquid funds cover karoonga.", "region": "Hinglish", "platform": "Reels", "niche": "finance", "dominant_flaw": "cultural_mismatch", "expected_critique_class": "cultural_misalignment", "expected_action": "cultural_ref_sub", "curriculum_notes": "Fixing the top critique risks damaging R3 cultural alignment. Explicit reward conflict.", "creator_profile": {"creator_id": "established_finance_309210181", "tier": "established", "follower_count": 82201, "posting_frequency": "daily", "niche": "finance", "niche_maturity": "niche_authority", "avg_engagement_rate": 0.0364, "avg_retention_rate": 0.316, "past_weak_points": ["retention_drop", "cultural_mismatch"], "past_strong_points": ["cta_weakness", "hook_weakness"], "voice_descriptors": ["casual", "educational", "Hinglish", "humorous"], "platform_primary": "Reels"}}
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{"episode_config_id": "hard_003", "difficulty": "hard", "script_id": "S10", "script_text": "Bhai, ChatGPT se kaam karvana seekh lo warna peeche reh jaoge. Aur main seriously bol raha hoon. Pehla tip \u00e2\u20ac\u201d vague prompt mat do. Mera CV improve karo mat likho. Likho: Main ek fresher hoon, computer science background, internship nahi hai, HR ke liye CV improve karo jo entry level SDE role ke liye shortlist kare. Dekho difference. Doosra \u00e2\u20ac\u201d role dena seekho. Likho Act as a senior hiring manager at a product startup. Teesra \u00e2\u20ac\u201d output format specify karo. Give me output as bullet points under these five headers. Yeh teen cheez karo, ChatGPT ka output literally double ho jayega in usefulness. Agar aur tips chahiye toh follow karo \u00e2\u20ac\u201d main weekly prompt engineering tips deta hoon.", "region": "Hinglish", "platform": "Shorts", "niche": "tech", "dominant_flaw": "retention_risk", "expected_critique_class": "hook_weakness", "expected_action": "hook_rewrite", "curriculum_notes": "Fixing the top critique risks damaging R3 cultural alignment. Explicit reward conflict.", "creator_profile": {"creator_id": "established_tech_997914626", "tier": "established", "follower_count": 29743, "posting_frequency": "daily", "niche": "tech", "niche_maturity": "niche_authority", "avg_engagement_rate": 0.0227, "avg_retention_rate": 0.273, "past_weak_points": ["hook_weakness", "cultural_mismatch", "cta_weakness"], "past_strong_points": ["section_disorder", "pacing_issue"], "voice_descriptors": ["aspirational", "storytelling"], "platform_primary": "TikTok"}}
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{"episode_config_id": "hard_004", "difficulty": "hard", "script_id": "S08", "script_text": "The two-minute rule changed my life. If something takes less than two minutes, do it right now. Don't add it to a list. Don't schedule it. Just do it. I cleared my inbox in one hour using this. But here's the problem nobody talks about \u00e2\u20ac\u201d the two-minute rule is also how you waste your entire day. Because every tiny thing feels urgent, you never do deep work. So here's the actual system: two-minute rule applies only before 10am. After 10am, time-block two hours of no-interruptions work. Nothing gets done during those two hours except your one most important task. The combination \u00e2\u20ac\u201d morning two-minute rule, afternoon deep work \u00e2\u20ac\u201d is the actual productivity stack. Save this and try it for one week. Tell me in comments if it works.", "region": "Pan-India English", "platform": "Reels", "niche": "productivity", "dominant_flaw": "conflicting_advice", "expected_critique_class": "coherence_issue", "expected_action": "section_reorder", "curriculum_notes": "Fixing the top critique risks damaging R3 cultural alignment. Explicit reward conflict.", "creator_profile": {"creator_id": "established_productivity_1518881426", "tier": "established", "follower_count": 24594, "posting_frequency": "daily", "niche": "productivity", "niche_maturity": "established_in_niche", "avg_engagement_rate": 0.0372, "avg_retention_rate": 0.545, "past_weak_points": ["hook_weakness"], "past_strong_points": ["pacing_issue", "cultural_mismatch"], "voice_descriptors": ["relatable", "data-driven", "humorous", "Hinglish"], "platform_primary": "TikTok"}}
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| 5 |
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{"episode_config_id": "hard_005", "difficulty": "hard", "script_id": "S09", "script_text": "Yaar, ek baat seriously poochhni thi. Tum log salary aate hi kya karte ho? Mostly kharch ho jaati hai, right? Main bhi pehle aisa hi tha. Phir ek cheez seekhi \u00e2\u20ac\u201d pay yourself first. Matlab salary aate hi, pehle apne aap ko pay karo. Kaise? Simple. Ek alag savings account banao. Salary aate hi automatically transfer ho jaye \u00e2\u20ac\u201d teen se paanch percent. Itna toh nahi lagega. Ek mahine baad dekho. Paise hain. Magic nahi hai, sirf automation hai. Main iss ek cheez se teen saal mein teen lakh save kar chuka hoon. Aur haan \u00e2\u20ac\u201d FD mat karo. Liquid fund daalo. Returns better hain, anytime nikal sakte ho. Koi question ho toh comment karo. Agle video mein main best liquid funds cover karoonga.", "region": "Hinglish", "platform": "Reels", "niche": "finance", "dominant_flaw": "cultural_mismatch", "expected_critique_class": "cultural_misalignment", "expected_action": "cultural_ref_sub", "curriculum_notes": "Fixing the top critique risks damaging R3 cultural alignment. Explicit reward conflict.", "creator_profile": {"creator_id": "established_finance_309210181", "tier": "established", "follower_count": 82201, "posting_frequency": "daily", "niche": "finance", "niche_maturity": "niche_authority", "avg_engagement_rate": 0.0364, "avg_retention_rate": 0.316, "past_weak_points": ["retention_drop", "cultural_mismatch"], "past_strong_points": ["cta_weakness", "hook_weakness"], "voice_descriptors": ["casual", "educational", "Hinglish", "humorous"], "platform_primary": "Reels"}}
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viral_script_engine/data/curriculum/medium_tier.jsonl
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{"episode_config_id": "medium_001", "difficulty": "medium", "script_id": "S05", "script_text": "Chhota dukaan, bada sapna. Main aaj teen saal pehle ek kiryana dukaan chalata tha. Mahine ki kamai teen hajar. Ab usi dukaan se main saath hajar kama raha hoon. Kya badla? Sirf ek cheez
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{"episode_config_id": "medium_002", "difficulty": "medium", "script_id": "S06", "script_text": "Ye jo aap dekh rahe hain na, yeh sirf ek mela nahi hai. Yeh Pushkar Mela hai
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{"episode_config_id": "medium_003", "difficulty": "medium", "script_id": "S07", "script_text": "Stop pitching your startup idea to everyone. Here's why. When you tell people your idea, your brain gets a dopamine hit from their reaction
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{"episode_config_id": "medium_004", "difficulty": "medium", "script_id": "S05", "script_text": "Chhota dukaan, bada sapna. Main aaj teen saal pehle ek kiryana dukaan chalata tha. Mahine ki kamai teen hajar. Ab usi dukaan se main saath hajar kama raha hoon. Kya badla? Sirf ek cheez
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{"episode_config_id": "medium_005", "difficulty": "medium", "script_id": "S06", "script_text": "Ye jo aap dekh rahe hain na, yeh sirf ek mela nahi hai. Yeh Pushkar Mela hai
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{"episode_config_id": "medium_006", "difficulty": "medium", "script_id": "S07", "script_text": "Stop pitching your startup idea to everyone. Here's why. When you tell people your idea, your brain gets a dopamine hit from their reaction
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{"episode_config_id": "medium_007", "difficulty": "medium", "script_id": "S05", "script_text": "Chhota dukaan, bada sapna. Main aaj teen saal pehle ek kiryana dukaan chalata tha. Mahine ki kamai teen hajar. Ab usi dukaan se main saath hajar kama raha hoon. Kya badla? Sirf ek cheez
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{"episode_config_id": "medium_008", "difficulty": "medium", "script_id": "S06", "script_text": "Ye jo aap dekh rahe hain na, yeh sirf ek mela nahi hai. Yeh Pushkar Mela hai
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{"episode_config_id": "medium_009", "difficulty": "medium", "script_id": "S07", "script_text": "Stop pitching your startup idea to everyone. Here's why. When you tell people your idea, your brain gets a dopamine hit from their reaction
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{"episode_config_id": "medium_010", "difficulty": "medium", "script_id": "S05", "script_text": "Chhota dukaan, bada sapna. Main aaj teen saal pehle ek kiryana dukaan chalata tha. Mahine ki kamai teen hajar. Ab usi dukaan se main saath hajar kama raha hoon. Kya badla? Sirf ek cheez
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{"episode_config_id": "medium_001", "difficulty": "medium", "script_id": "S05", "script_text": "Chhota dukaan, bada sapna. Main aaj teen saal pehle ek kiryana dukaan chalata tha. Mahine ki kamai teen hajar. Ab usi dukaan se main saath hajar kama raha hoon. Kya badla? Sirf ek cheez \u00e2\u20ac\u201d main UPI QR code lagaya aur WhatsApp Business set kiya. Customers ko WhatsApp pe list bhejne laga. Orders aane lage. Delivery bhi shuru ki, sirf do kilometre radius mein. Delivery charge nahi liya pehle teen mahine. Ab regular customers hain. Teen hajar se saath hajar ka jump sirf teen cheez se hua: digital payment, WhatsApp list, aur ghar delivery. Aapke paas koi dukaan hai? Comment mein batao, main aapko personally bata sakta hoon kya karna hai.", "region": "Tier-2 Hindi belt", "platform": "Reels", "niche": "small business", "dominant_flaw": "pacing_issue", "expected_critique_class": "coherence_issue", "expected_action": "section_reorder", "curriculum_notes": "Trade-off scenario. Critic and Defender both have valid points. Reward signal emerges over 2\u00e2\u20ac\u201c3 steps.", "creator_profile": {"creator_id": "established_small_business_2046531629", "tier": "established", "follower_count": 50711, "posting_frequency": "daily", "niche": "small business", "niche_maturity": "established_in_niche", "avg_engagement_rate": 0.0357, "avg_retention_rate": 0.47, "past_weak_points": ["cultural_mismatch", "section_disorder", "hook_weakness"], "past_strong_points": ["cta_buried", "pacing_issue"], "voice_descriptors": ["Hinglish", "storytelling", "regional", "humorous"], "platform_primary": "Shorts"}}
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{"episode_config_id": "medium_002", "difficulty": "medium", "script_id": "S06", "script_text": "Ye jo aap dekh rahe hain na, yeh sirf ek mela nahi hai. Yeh Pushkar Mela hai \u00e2\u20ac\u201d duniya ka sabse bada camel fair. Har saal kartik poornima pe laakhon log aate hain. Aur yeh sirf camels nahi hain. Yahan performers hain, folk singers hain, wrestlers hain. Main yahan paanch saal se aa raha hoon. Har baar kuch naya milta hai. Is saal mujhe ek aise kaarigir mile jo oopar ki photo mein hain \u00e2\u20ac\u201d yeh aadmi sirf haath se yeh kaam karta hai, koi machine nahi. Uska naam Ramji lal hai, Barmer se aaye hain. Unke haath ki yeh kala maar jaayegi agar hum record nahi karte. Isliye main yahan hoon. Follow karo agar aap chahte ho ki aisi kahaniyan land ho aapke feed pe.", "region": "Tier-2 Hindi belt", "platform": "Shorts", "niche": "local culture", "dominant_flaw": "coherence_break", "expected_critique_class": "coherence_issue", "expected_action": "section_reorder", "curriculum_notes": "Trade-off scenario. Critic and Defender both have valid points. Reward signal emerges over 2\u00e2\u20ac\u201c3 steps.", "creator_profile": {"creator_id": "established_local_culture_453937357", "tier": "established", "follower_count": 82549, "posting_frequency": "frequent", "niche": "local culture", "niche_maturity": "established_in_niche", "avg_engagement_rate": 0.0357, "avg_retention_rate": 0.313, "past_weak_points": ["retention_drop"], "past_strong_points": ["pacing_issue", "cultural_mismatch"], "voice_descriptors": ["casual", "data-driven", "Hinglish"], "platform_primary": "Shorts"}}
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{"episode_config_id": "medium_003", "difficulty": "medium", "script_id": "S07", "script_text": "Stop pitching your startup idea to everyone. Here's why. When you tell people your idea, your brain gets a dopamine hit from their reaction \u00e2\u20ac\u201d even if they say nothing useful. That dopamine hit tricks your brain into feeling like progress was made. It wasn't. The only validation that matters is someone paying you money, or using your product for thirty days in a row. Everything else is noise. I've seen founders spend six months getting feedback from friends and family and calling it market research. It's not. Your first ten customers should come from cold outreach, not your network. Because people in your network will lie to protect your feelings. Strangers will tell you the truth by either paying or not paying. Go find ten strangers. Follow for more contrarian startup takes.", "region": "Pan-India English", "platform": "Shorts", "niche": "startup advice", "dominant_flaw": "pacing_issue", "expected_critique_class": "coherence_issue", "expected_action": "section_reorder", "curriculum_notes": "Trade-off scenario. Critic and Defender both have valid points. Reward signal emerges over 2\u00e2\u20ac\u201c3 steps.", "creator_profile": {"creator_id": "established_startup_advice_1204339102", "tier": "established", "follower_count": 61392, "posting_frequency": "daily", "niche": "startup advice", "niche_maturity": "established_in_niche", "avg_engagement_rate": 0.0258, "avg_retention_rate": 0.251, "past_weak_points": ["hook_weakness"], "past_strong_points": ["cta_buried", "retention_drop"], "voice_descriptors": ["casual", "direct"], "platform_primary": "Reels"}}
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| 4 |
+
{"episode_config_id": "medium_004", "difficulty": "medium", "script_id": "S05", "script_text": "Chhota dukaan, bada sapna. Main aaj teen saal pehle ek kiryana dukaan chalata tha. Mahine ki kamai teen hajar. Ab usi dukaan se main saath hajar kama raha hoon. Kya badla? Sirf ek cheez \u00e2\u20ac\u201d main UPI QR code lagaya aur WhatsApp Business set kiya. Customers ko WhatsApp pe list bhejne laga. Orders aane lage. Delivery bhi shuru ki, sirf do kilometre radius mein. Delivery charge nahi liya pehle teen mahine. Ab regular customers hain. Teen hajar se saath hajar ka jump sirf teen cheez se hua: digital payment, WhatsApp list, aur ghar delivery. Aapke paas koi dukaan hai? Comment mein batao, main aapko personally bata sakta hoon kya karna hai.", "region": "Tier-2 Hindi belt", "platform": "Reels", "niche": "small business", "dominant_flaw": "pacing_issue", "expected_critique_class": "coherence_issue", "expected_action": "section_reorder", "curriculum_notes": "Trade-off scenario. Critic and Defender both have valid points. Reward signal emerges over 2\u00e2\u20ac\u201c3 steps.", "creator_profile": {"creator_id": "established_small_business_2046531629", "tier": "established", "follower_count": 50711, "posting_frequency": "daily", "niche": "small business", "niche_maturity": "established_in_niche", "avg_engagement_rate": 0.0357, "avg_retention_rate": 0.47, "past_weak_points": ["cultural_mismatch", "section_disorder", "hook_weakness"], "past_strong_points": ["cta_buried", "pacing_issue"], "voice_descriptors": ["Hinglish", "storytelling", "regional", "humorous"], "platform_primary": "Shorts"}}
|
| 5 |
+
{"episode_config_id": "medium_005", "difficulty": "medium", "script_id": "S06", "script_text": "Ye jo aap dekh rahe hain na, yeh sirf ek mela nahi hai. Yeh Pushkar Mela hai \u00e2\u20ac\u201d duniya ka sabse bada camel fair. Har saal kartik poornima pe laakhon log aate hain. Aur yeh sirf camels nahi hain. Yahan performers hain, folk singers hain, wrestlers hain. Main yahan paanch saal se aa raha hoon. Har baar kuch naya milta hai. Is saal mujhe ek aise kaarigir mile jo oopar ki photo mein hain \u00e2\u20ac\u201d yeh aadmi sirf haath se yeh kaam karta hai, koi machine nahi. Uska naam Ramji lal hai, Barmer se aaye hain. Unke haath ki yeh kala maar jaayegi agar hum record nahi karte. Isliye main yahan hoon. Follow karo agar aap chahte ho ki aisi kahaniyan land ho aapke feed pe.", "region": "Tier-2 Hindi belt", "platform": "Shorts", "niche": "local culture", "dominant_flaw": "coherence_break", "expected_critique_class": "coherence_issue", "expected_action": "section_reorder", "curriculum_notes": "Trade-off scenario. Critic and Defender both have valid points. Reward signal emerges over 2\u00e2\u20ac\u201c3 steps.", "creator_profile": {"creator_id": "established_local_culture_453937357", "tier": "established", "follower_count": 82549, "posting_frequency": "frequent", "niche": "local culture", "niche_maturity": "established_in_niche", "avg_engagement_rate": 0.0357, "avg_retention_rate": 0.313, "past_weak_points": ["retention_drop"], "past_strong_points": ["pacing_issue", "cultural_mismatch"], "voice_descriptors": ["casual", "data-driven", "Hinglish"], "platform_primary": "Shorts"}}
|
| 6 |
+
{"episode_config_id": "medium_006", "difficulty": "medium", "script_id": "S07", "script_text": "Stop pitching your startup idea to everyone. Here's why. When you tell people your idea, your brain gets a dopamine hit from their reaction \u00e2\u20ac\u201d even if they say nothing useful. That dopamine hit tricks your brain into feeling like progress was made. It wasn't. The only validation that matters is someone paying you money, or using your product for thirty days in a row. Everything else is noise. I've seen founders spend six months getting feedback from friends and family and calling it market research. It's not. Your first ten customers should come from cold outreach, not your network. Because people in your network will lie to protect your feelings. Strangers will tell you the truth by either paying or not paying. Go find ten strangers. Follow for more contrarian startup takes.", "region": "Pan-India English", "platform": "Shorts", "niche": "startup advice", "dominant_flaw": "pacing_issue", "expected_critique_class": "coherence_issue", "expected_action": "section_reorder", "curriculum_notes": "Trade-off scenario. Critic and Defender both have valid points. Reward signal emerges over 2\u00e2\u20ac\u201c3 steps.", "creator_profile": {"creator_id": "established_startup_advice_1204339102", "tier": "established", "follower_count": 61392, "posting_frequency": "daily", "niche": "startup advice", "niche_maturity": "established_in_niche", "avg_engagement_rate": 0.0258, "avg_retention_rate": 0.251, "past_weak_points": ["hook_weakness"], "past_strong_points": ["cta_buried", "retention_drop"], "voice_descriptors": ["casual", "direct"], "platform_primary": "Reels"}}
|
| 7 |
+
{"episode_config_id": "medium_007", "difficulty": "medium", "script_id": "S05", "script_text": "Chhota dukaan, bada sapna. Main aaj teen saal pehle ek kiryana dukaan chalata tha. Mahine ki kamai teen hajar. Ab usi dukaan se main saath hajar kama raha hoon. Kya badla? Sirf ek cheez \u00e2\u20ac\u201d main UPI QR code lagaya aur WhatsApp Business set kiya. Customers ko WhatsApp pe list bhejne laga. Orders aane lage. Delivery bhi shuru ki, sirf do kilometre radius mein. Delivery charge nahi liya pehle teen mahine. Ab regular customers hain. Teen hajar se saath hajar ka jump sirf teen cheez se hua: digital payment, WhatsApp list, aur ghar delivery. Aapke paas koi dukaan hai? Comment mein batao, main aapko personally bata sakta hoon kya karna hai.", "region": "Tier-2 Hindi belt", "platform": "Reels", "niche": "small business", "dominant_flaw": "pacing_issue", "expected_critique_class": "coherence_issue", "expected_action": "section_reorder", "curriculum_notes": "Trade-off scenario. Critic and Defender both have valid points. Reward signal emerges over 2\u00e2\u20ac\u201c3 steps.", "creator_profile": {"creator_id": "established_small_business_2046531629", "tier": "established", "follower_count": 50711, "posting_frequency": "daily", "niche": "small business", "niche_maturity": "established_in_niche", "avg_engagement_rate": 0.0357, "avg_retention_rate": 0.47, "past_weak_points": ["cultural_mismatch", "section_disorder", "hook_weakness"], "past_strong_points": ["cta_buried", "pacing_issue"], "voice_descriptors": ["Hinglish", "storytelling", "regional", "humorous"], "platform_primary": "Shorts"}}
|
| 8 |
+
{"episode_config_id": "medium_008", "difficulty": "medium", "script_id": "S06", "script_text": "Ye jo aap dekh rahe hain na, yeh sirf ek mela nahi hai. Yeh Pushkar Mela hai \u00e2\u20ac\u201d duniya ka sabse bada camel fair. Har saal kartik poornima pe laakhon log aate hain. Aur yeh sirf camels nahi hain. Yahan performers hain, folk singers hain, wrestlers hain. Main yahan paanch saal se aa raha hoon. Har baar kuch naya milta hai. Is saal mujhe ek aise kaarigir mile jo oopar ki photo mein hain \u00e2\u20ac\u201d yeh aadmi sirf haath se yeh kaam karta hai, koi machine nahi. Uska naam Ramji lal hai, Barmer se aaye hain. Unke haath ki yeh kala maar jaayegi agar hum record nahi karte. Isliye main yahan hoon. Follow karo agar aap chahte ho ki aisi kahaniyan land ho aapke feed pe.", "region": "Tier-2 Hindi belt", "platform": "Shorts", "niche": "local culture", "dominant_flaw": "coherence_break", "expected_critique_class": "coherence_issue", "expected_action": "section_reorder", "curriculum_notes": "Trade-off scenario. Critic and Defender both have valid points. Reward signal emerges over 2\u00e2\u20ac\u201c3 steps.", "creator_profile": {"creator_id": "established_local_culture_453937357", "tier": "established", "follower_count": 82549, "posting_frequency": "frequent", "niche": "local culture", "niche_maturity": "established_in_niche", "avg_engagement_rate": 0.0357, "avg_retention_rate": 0.313, "past_weak_points": ["retention_drop"], "past_strong_points": ["pacing_issue", "cultural_mismatch"], "voice_descriptors": ["casual", "data-driven", "Hinglish"], "platform_primary": "Shorts"}}
|
| 9 |
+
{"episode_config_id": "medium_009", "difficulty": "medium", "script_id": "S07", "script_text": "Stop pitching your startup idea to everyone. Here's why. When you tell people your idea, your brain gets a dopamine hit from their reaction \u00e2\u20ac\u201d even if they say nothing useful. That dopamine hit tricks your brain into feeling like progress was made. It wasn't. The only validation that matters is someone paying you money, or using your product for thirty days in a row. Everything else is noise. I've seen founders spend six months getting feedback from friends and family and calling it market research. It's not. Your first ten customers should come from cold outreach, not your network. Because people in your network will lie to protect your feelings. Strangers will tell you the truth by either paying or not paying. Go find ten strangers. Follow for more contrarian startup takes.", "region": "Pan-India English", "platform": "Shorts", "niche": "startup advice", "dominant_flaw": "pacing_issue", "expected_critique_class": "coherence_issue", "expected_action": "section_reorder", "curriculum_notes": "Trade-off scenario. Critic and Defender both have valid points. Reward signal emerges over 2\u00e2\u20ac\u201c3 steps.", "creator_profile": {"creator_id": "established_startup_advice_1204339102", "tier": "established", "follower_count": 61392, "posting_frequency": "daily", "niche": "startup advice", "niche_maturity": "established_in_niche", "avg_engagement_rate": 0.0258, "avg_retention_rate": 0.251, "past_weak_points": ["hook_weakness"], "past_strong_points": ["cta_buried", "retention_drop"], "voice_descriptors": ["casual", "direct"], "platform_primary": "Reels"}}
|
| 10 |
+
{"episode_config_id": "medium_010", "difficulty": "medium", "script_id": "S05", "script_text": "Chhota dukaan, bada sapna. Main aaj teen saal pehle ek kiryana dukaan chalata tha. Mahine ki kamai teen hajar. Ab usi dukaan se main saath hajar kama raha hoon. Kya badla? Sirf ek cheez \u00e2\u20ac\u201d main UPI QR code lagaya aur WhatsApp Business set kiya. Customers ko WhatsApp pe list bhejne laga. Orders aane lage. Delivery bhi shuru ki, sirf do kilometre radius mein. Delivery charge nahi liya pehle teen mahine. Ab regular customers hain. Teen hajar se saath hajar ka jump sirf teen cheez se hua: digital payment, WhatsApp list, aur ghar delivery. Aapke paas koi dukaan hai? Comment mein batao, main aapko personally bata sakta hoon kya karna hai.", "region": "Tier-2 Hindi belt", "platform": "Reels", "niche": "small business", "dominant_flaw": "pacing_issue", "expected_critique_class": "coherence_issue", "expected_action": "section_reorder", "curriculum_notes": "Trade-off scenario. Critic and Defender both have valid points. Reward signal emerges over 2\u00e2\u20ac\u201c3 steps.", "creator_profile": {"creator_id": "established_small_business_2046531629", "tier": "established", "follower_count": 50711, "posting_frequency": "daily", "niche": "small business", "niche_maturity": "established_in_niche", "avg_engagement_rate": 0.0357, "avg_retention_rate": 0.47, "past_weak_points": ["cultural_mismatch", "section_disorder", "hook_weakness"], "past_strong_points": ["cta_buried", "pacing_issue"], "voice_descriptors": ["Hinglish", "storytelling", "regional", "humorous"], "platform_primary": "Shorts"}}
|
viral_script_engine/data/persona_advice_kb.json
ADDED
|
@@ -0,0 +1,30 @@
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|
| 1 |
+
{
|
| 2 |
+
"beginner": {
|
| 3 |
+
"priority_actions": ["hook_rewrite", "cta_placement"],
|
| 4 |
+
"deprioritised_actions": ["cultural_ref_sub", "section_reorder"],
|
| 5 |
+
"rationale": "Beginners need fundamentals first. Hook and CTA drive the most growth at low follower counts. Cultural refinement is premature when basic structure is broken.",
|
| 6 |
+
"max_changes_per_episode": 2,
|
| 7 |
+
"forbidden_advice": ["optimise for saves", "target niche algorithm signals"]
|
| 8 |
+
},
|
| 9 |
+
"growing": {
|
| 10 |
+
"priority_actions": ["hook_rewrite", "section_reorder"],
|
| 11 |
+
"deprioritised_actions": ["cultural_ref_sub"],
|
| 12 |
+
"rationale": "Growing creators have hooks working partially. Focus on pacing and structure to push past the 10k ceiling.",
|
| 13 |
+
"max_changes_per_episode": 3,
|
| 14 |
+
"forbidden_advice": []
|
| 15 |
+
},
|
| 16 |
+
"established": {
|
| 17 |
+
"priority_actions": ["cultural_ref_sub", "section_reorder", "cta_placement"],
|
| 18 |
+
"deprioritised_actions": [],
|
| 19 |
+
"rationale": "Established creators have basics down. Cultural specificity and originality drive differentiation at this tier.",
|
| 20 |
+
"max_changes_per_episode": 4,
|
| 21 |
+
"forbidden_advice": ["simplify the hook"]
|
| 22 |
+
},
|
| 23 |
+
"verified": {
|
| 24 |
+
"priority_actions": ["cultural_ref_sub", "section_reorder"],
|
| 25 |
+
"deprioritised_actions": ["hook_rewrite"],
|
| 26 |
+
"rationale": "Verified creators have a proven hook style. Do not touch it. Focus on deeper content quality and cultural resonance.",
|
| 27 |
+
"max_changes_per_episode": 5,
|
| 28 |
+
"forbidden_advice": ["change the hook", "add a CTA"]
|
| 29 |
+
}
|
| 30 |
+
}
|
viral_script_engine/environment/env.py
CHANGED
|
@@ -23,6 +23,9 @@ from viral_script_engine.rewards.r6_safety import SafetyReward
|
|
| 23 |
from viral_script_engine.rewards.r7_originality import OriginalityReward
|
| 24 |
from viral_script_engine.rewards.reward_aggregator import RewardAggregator
|
| 25 |
from viral_script_engine.rewards.process_reward import ProcessReward, ProcessRewardResult
|
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|
| 26 |
|
| 27 |
_TIERS = {
|
| 28 |
"easy": ["S01", "S02", "S03", "S04"],
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|
@@ -72,7 +75,10 @@ class ViralScriptEnv:
|
|
| 72 |
self.aggregator = RewardAggregator()
|
| 73 |
self.reasoning_parser = ReasoningParser()
|
| 74 |
self.process_reward_calc = ProcessReward()
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|
| 75 |
self._state: Optional[EpisodeState] = None
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|
| 76 |
|
| 77 |
if use_escalation:
|
| 78 |
if difficulty_tracker is None:
|
|
@@ -156,8 +162,31 @@ class ViralScriptEnv:
|
|
| 156 |
difficulty_level=difficulty,
|
| 157 |
initial_rewards=initial_rewards,
|
| 158 |
)
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|
| 159 |
return self._build_observation().model_dump(), {}
|
| 160 |
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| 161 |
def step(self, action: dict, raw_output: str = None) -> Tuple[dict, float, bool, bool, dict]:
|
| 162 |
if self._state is None:
|
| 163 |
raise RuntimeError("Call reset() before step()")
|
|
@@ -226,6 +255,16 @@ class ViralScriptEnv:
|
|
| 226 |
r6_result = self.r6.score(moderation_out)
|
| 227 |
r7_result = self.r7.score(originality_out)
|
| 228 |
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|
| 229 |
components = RewardComponents(
|
| 230 |
r1_hook_strength=r1_result.score,
|
| 231 |
r2_coherence=r2_result.score,
|
|
@@ -234,6 +273,7 @@ class ViralScriptEnv:
|
|
| 234 |
r5_defender_preservation=r5_result.score,
|
| 235 |
r6_safety=r6_result.score,
|
| 236 |
r7_originality=r7_result.score,
|
|
|
|
| 237 |
process_reward=process_result.weighted_contribution if process_result else None,
|
| 238 |
)
|
| 239 |
|
|
@@ -301,6 +341,7 @@ class ViralScriptEnv:
|
|
| 301 |
"originality_output": originality_out.model_dump(),
|
| 302 |
"process_reward_result": process_result.model_dump() if process_result else None,
|
| 303 |
"reasoning_chain": reasoning_chain.model_dump() if reasoning_chain else None,
|
|
|
|
| 304 |
}
|
| 305 |
return self._build_observation().model_dump(), components.total, terminated, False, info
|
| 306 |
|
|
@@ -324,6 +365,7 @@ class ViralScriptEnv:
|
|
| 324 |
"difficulty_level": s.difficulty_level,
|
| 325 |
"episode_id": s.episode_id,
|
| 326 |
"anti_gaming_logs": getattr(s, "anti_gaming_logs", []),
|
|
|
|
| 327 |
}
|
| 328 |
|
| 329 |
def _build_observation(self) -> Observation:
|
|
@@ -349,4 +391,5 @@ class ViralScriptEnv:
|
|
| 349 |
episode_id=s.episode_id,
|
| 350 |
current_moderation_flags=mod_flags,
|
| 351 |
current_originality_flags=orig_flags,
|
|
|
|
| 352 |
)
|
|
|
|
| 23 |
from viral_script_engine.rewards.r7_originality import OriginalityReward
|
| 24 |
from viral_script_engine.rewards.reward_aggregator import RewardAggregator
|
| 25 |
from viral_script_engine.rewards.process_reward import ProcessReward, ProcessRewardResult
|
| 26 |
+
from viral_script_engine.personas.creator_profile import CreatorProfile, CreatorTier
|
| 27 |
+
from viral_script_engine.personas.profile_generator import ProfileGenerator
|
| 28 |
+
from viral_script_engine.rewards.r8_persona_fit import PersonaFitReward
|
| 29 |
|
| 30 |
_TIERS = {
|
| 31 |
"easy": ["S01", "S02", "S03", "S04"],
|
|
|
|
| 75 |
self.aggregator = RewardAggregator()
|
| 76 |
self.reasoning_parser = ReasoningParser()
|
| 77 |
self.process_reward_calc = ProcessReward()
|
| 78 |
+
self.profile_generator = ProfileGenerator()
|
| 79 |
+
self.r8 = PersonaFitReward()
|
| 80 |
self._state: Optional[EpisodeState] = None
|
| 81 |
+
self._current_profile: Optional[CreatorProfile] = None
|
| 82 |
|
| 83 |
if use_escalation:
|
| 84 |
if difficulty_tracker is None:
|
|
|
|
| 162 |
difficulty_level=difficulty,
|
| 163 |
initial_rewards=initial_rewards,
|
| 164 |
)
|
| 165 |
+
|
| 166 |
+
# Phase 8: generate a creator profile matching episode difficulty
|
| 167 |
+
self._current_profile = self._generate_profile_for_difficulty(
|
| 168 |
+
difficulty=difficulty,
|
| 169 |
+
niche=script.get("niche", "personal finance"),
|
| 170 |
+
seed=hash(script.get("script_id", "default")) % (2 ** 31),
|
| 171 |
+
)
|
| 172 |
+
|
| 173 |
return self._build_observation().model_dump(), {}
|
| 174 |
|
| 175 |
+
def _generate_profile_for_difficulty(
|
| 176 |
+
self, difficulty: str, niche: str, seed: int
|
| 177 |
+
) -> CreatorProfile:
|
| 178 |
+
"""Map episode difficulty to an appropriate creator tier."""
|
| 179 |
+
tier_map = {
|
| 180 |
+
"easy": [CreatorTier.BEGINNER, CreatorTier.GROWING],
|
| 181 |
+
"medium": [CreatorTier.GROWING, CreatorTier.ESTABLISHED],
|
| 182 |
+
"hard": [CreatorTier.ESTABLISHED, CreatorTier.VERIFIED],
|
| 183 |
+
"self_generated": [CreatorTier.ESTABLISHED, CreatorTier.VERIFIED],
|
| 184 |
+
}
|
| 185 |
+
import random as _rng
|
| 186 |
+
tiers = tier_map.get(difficulty, [CreatorTier.GROWING])
|
| 187 |
+
tier = _rng.Random(seed).choice(tiers)
|
| 188 |
+
return self.profile_generator.generate(tier=tier, niche=niche, seed=seed)
|
| 189 |
+
|
| 190 |
def step(self, action: dict, raw_output: str = None) -> Tuple[dict, float, bool, bool, dict]:
|
| 191 |
if self._state is None:
|
| 192 |
raise RuntimeError("Call reset() before step()")
|
|
|
|
| 255 |
r6_result = self.r6.score(moderation_out)
|
| 256 |
r7_result = self.r7.score(originality_out)
|
| 257 |
|
| 258 |
+
# Phase 8: compute R8 persona fit
|
| 259 |
+
r8_score = None
|
| 260 |
+
if self._current_profile is not None and targeted_claim is not None:
|
| 261 |
+
r8_result = self.r8.score(
|
| 262 |
+
action=arb_action,
|
| 263 |
+
creator_profile=self._current_profile,
|
| 264 |
+
addressed_critique_class=targeted_claim.critique_class,
|
| 265 |
+
)
|
| 266 |
+
r8_score = r8_result.score
|
| 267 |
+
|
| 268 |
components = RewardComponents(
|
| 269 |
r1_hook_strength=r1_result.score,
|
| 270 |
r2_coherence=r2_result.score,
|
|
|
|
| 273 |
r5_defender_preservation=r5_result.score,
|
| 274 |
r6_safety=r6_result.score,
|
| 275 |
r7_originality=r7_result.score,
|
| 276 |
+
r8_persona_fit=r8_score,
|
| 277 |
process_reward=process_result.weighted_contribution if process_result else None,
|
| 278 |
)
|
| 279 |
|
|
|
|
| 341 |
"originality_output": originality_out.model_dump(),
|
| 342 |
"process_reward_result": process_result.model_dump() if process_result else None,
|
| 343 |
"reasoning_chain": reasoning_chain.model_dump() if reasoning_chain else None,
|
| 344 |
+
"creator_profile": self._current_profile.model_dump(mode="json") if self._current_profile else None,
|
| 345 |
}
|
| 346 |
return self._build_observation().model_dump(), components.total, terminated, False, info
|
| 347 |
|
|
|
|
| 365 |
"difficulty_level": s.difficulty_level,
|
| 366 |
"episode_id": s.episode_id,
|
| 367 |
"anti_gaming_logs": getattr(s, "anti_gaming_logs", []),
|
| 368 |
+
"creator_profile": self._current_profile.model_dump(mode="json") if self._current_profile else None,
|
| 369 |
}
|
| 370 |
|
| 371 |
def _build_observation(self) -> Observation:
|
|
|
|
| 391 |
episode_id=s.episode_id,
|
| 392 |
current_moderation_flags=mod_flags,
|
| 393 |
current_originality_flags=orig_flags,
|
| 394 |
+
creator_profile=self._current_profile.model_dump(mode="json") if self._current_profile else None,
|
| 395 |
)
|
viral_script_engine/environment/observations.py
CHANGED
|
@@ -6,8 +6,8 @@ from viral_script_engine.agents.critic import CritiqueClaim
|
|
| 6 |
from viral_script_engine.environment.actions import ArbitratorAction
|
| 7 |
|
| 8 |
_WEIGHTS: Dict[str, float] = {
|
| 9 |
-
"r1": 0.
|
| 10 |
-
"r6": 0.
|
| 11 |
}
|
| 12 |
|
| 13 |
|
|
@@ -19,6 +19,7 @@ class RewardComponents(BaseModel):
|
|
| 19 |
r5_defender_preservation: Optional[float] = None
|
| 20 |
r6_safety: Optional[float] = None
|
| 21 |
r7_originality: Optional[float] = None
|
|
|
|
| 22 |
process_reward: Optional[float] = None # fired before rewrite (Phase 7)
|
| 23 |
anti_gaming_penalty: float = 0.0
|
| 24 |
total: float = 0.0
|
|
@@ -32,6 +33,7 @@ class RewardComponents(BaseModel):
|
|
| 32 |
"r5": self.r5_defender_preservation,
|
| 33 |
"r6": self.r6_safety,
|
| 34 |
"r7": self.r7_originality,
|
|
|
|
| 35 |
}
|
| 36 |
active = {k: v for k, v in vals.items() if v is not None}
|
| 37 |
if not active:
|
|
@@ -69,3 +71,4 @@ class Observation(BaseModel):
|
|
| 69 |
episode_id: str
|
| 70 |
current_moderation_flags: List[Any] = []
|
| 71 |
current_originality_flags: List[Any] = []
|
|
|
|
|
|
| 6 |
from viral_script_engine.environment.actions import ArbitratorAction
|
| 7 |
|
| 8 |
_WEIGHTS: Dict[str, float] = {
|
| 9 |
+
"r1": 0.18, "r2": 0.13, "r3": 0.13, "r4": 0.13, "r5": 0.13,
|
| 10 |
+
"r6": 0.08, "r7": 0.08, "r8": 0.10,
|
| 11 |
}
|
| 12 |
|
| 13 |
|
|
|
|
| 19 |
r5_defender_preservation: Optional[float] = None
|
| 20 |
r6_safety: Optional[float] = None
|
| 21 |
r7_originality: Optional[float] = None
|
| 22 |
+
r8_persona_fit: Optional[float] = None # Phase 8: creator persona fit
|
| 23 |
process_reward: Optional[float] = None # fired before rewrite (Phase 7)
|
| 24 |
anti_gaming_penalty: float = 0.0
|
| 25 |
total: float = 0.0
|
|
|
|
| 33 |
"r5": self.r5_defender_preservation,
|
| 34 |
"r6": self.r6_safety,
|
| 35 |
"r7": self.r7_originality,
|
| 36 |
+
"r8": self.r8_persona_fit,
|
| 37 |
}
|
| 38 |
active = {k: v for k, v in vals.items() if v is not None}
|
| 39 |
if not active:
|
|
|
|
| 71 |
episode_id: str
|
| 72 |
current_moderation_flags: List[Any] = []
|
| 73 |
current_originality_flags: List[Any] = []
|
| 74 |
+
creator_profile: Optional[Any] = None # Phase 8: CreatorProfile dict
|
viral_script_engine/personas/__init__.py
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
from viral_script_engine.personas.creator_profile import CreatorProfile, CreatorTier, PostingFrequency
|
| 2 |
+
from viral_script_engine.personas.profile_generator import ProfileGenerator
|
| 3 |
+
from viral_script_engine.personas.persona_kb import PersonaKB
|
| 4 |
+
|
| 5 |
+
__all__ = ["CreatorProfile", "CreatorTier", "PostingFrequency", "ProfileGenerator", "PersonaKB"]
|
viral_script_engine/personas/creator_profile.py
ADDED
|
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
from enum import Enum
|
| 2 |
+
from typing import List, Optional
|
| 3 |
+
from pydantic import BaseModel
|
| 4 |
+
|
| 5 |
+
|
| 6 |
+
class CreatorTier(str, Enum):
|
| 7 |
+
BEGINNER = "beginner" # 0-1k followers
|
| 8 |
+
GROWING = "growing" # 1k-10k followers
|
| 9 |
+
ESTABLISHED = "established" # 10k-100k followers
|
| 10 |
+
VERIFIED = "verified" # 100k+ followers
|
| 11 |
+
|
| 12 |
+
|
| 13 |
+
class PostingFrequency(str, Enum):
|
| 14 |
+
RARE = "rare" # < 1 post/week
|
| 15 |
+
REGULAR = "regular" # 1-3 posts/week
|
| 16 |
+
FREQUENT = "frequent" # 4-7 posts/week
|
| 17 |
+
DAILY = "daily" # 1+ posts/day
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
class CreatorProfile(BaseModel):
|
| 21 |
+
creator_id: str
|
| 22 |
+
tier: CreatorTier
|
| 23 |
+
follower_count: int
|
| 24 |
+
posting_frequency: PostingFrequency
|
| 25 |
+
niche: str
|
| 26 |
+
niche_maturity: str # "new_to_niche" | "established_in_niche" | "niche_authority"
|
| 27 |
+
avg_engagement_rate: float # 0.0-1.0 (likes+comments / followers)
|
| 28 |
+
avg_retention_rate: float # 0.0-1.0 (estimated average watch-through)
|
| 29 |
+
past_weak_points: List[str] # critique classes they repeatedly struggle with
|
| 30 |
+
past_strong_points: List[str] # critique classes they consistently handle well
|
| 31 |
+
voice_descriptors: List[str] # e.g. ["direct", "humorous", "educational", "regional"]
|
| 32 |
+
platform_primary: str # "Reels" | "Shorts" | "TikTok"
|
| 33 |
+
|
| 34 |
+
@property
|
| 35 |
+
def needs_fundamentals(self) -> bool:
|
| 36 |
+
return self.tier in [CreatorTier.BEGINNER, CreatorTier.GROWING]
|
| 37 |
+
|
| 38 |
+
@property
|
| 39 |
+
def needs_refinement(self) -> bool:
|
| 40 |
+
return self.tier in [CreatorTier.ESTABLISHED, CreatorTier.VERIFIED]
|
viral_script_engine/personas/persona_kb.py
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import json
|
| 2 |
+
from pathlib import Path
|
| 3 |
+
from typing import Any, Dict, Optional
|
| 4 |
+
|
| 5 |
+
|
| 6 |
+
class PersonaKB:
|
| 7 |
+
"""Wrapper around persona_advice_kb.json. Provides tier-keyed rule lookups."""
|
| 8 |
+
|
| 9 |
+
def __init__(self, kb_path: Optional[str] = None):
|
| 10 |
+
if kb_path is None:
|
| 11 |
+
kb_path = str(Path(__file__).parent.parent / "data" / "persona_advice_kb.json")
|
| 12 |
+
with open(kb_path, encoding="utf-8") as f:
|
| 13 |
+
self._kb: Dict[str, Any] = json.load(f)
|
| 14 |
+
|
| 15 |
+
def get_rules(self, tier: str) -> Dict[str, Any]:
|
| 16 |
+
return self._kb.get(tier, {})
|
| 17 |
+
|
| 18 |
+
def priority_actions(self, tier: str) -> list:
|
| 19 |
+
return self.get_rules(tier).get("priority_actions", [])
|
| 20 |
+
|
| 21 |
+
def deprioritised_actions(self, tier: str) -> list:
|
| 22 |
+
return self.get_rules(tier).get("deprioritised_actions", [])
|
| 23 |
+
|
| 24 |
+
def forbidden_advice(self, tier: str) -> list:
|
| 25 |
+
return self.get_rules(tier).get("forbidden_advice", [])
|
| 26 |
+
|
| 27 |
+
def max_changes(self, tier: str) -> int:
|
| 28 |
+
return self.get_rules(tier).get("max_changes_per_episode", 3)
|
| 29 |
+
|
| 30 |
+
def rationale(self, tier: str) -> str:
|
| 31 |
+
return self.get_rules(tier).get("rationale", "")
|
viral_script_engine/personas/profile_generator.py
ADDED
|
@@ -0,0 +1,114 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import random
|
| 2 |
+
from typing import List, Optional
|
| 3 |
+
|
| 4 |
+
from viral_script_engine.personas.creator_profile import (
|
| 5 |
+
CreatorProfile, CreatorTier, PostingFrequency,
|
| 6 |
+
)
|
| 7 |
+
|
| 8 |
+
_ALL_CRITIQUE_CLASSES = [
|
| 9 |
+
"hook_weakness", "cta_buried", "cta_weakness", "pacing_issue",
|
| 10 |
+
"cultural_mismatch", "originality_low", "section_disorder", "retention_drop",
|
| 11 |
+
]
|
| 12 |
+
|
| 13 |
+
_VOICE_POOL = [
|
| 14 |
+
"direct", "humorous", "educational", "regional", "relatable",
|
| 15 |
+
"Hinglish", "aspirational", "casual", "storytelling", "data-driven",
|
| 16 |
+
]
|
| 17 |
+
|
| 18 |
+
_NICHE_MATURITY_BY_TIER = {
|
| 19 |
+
CreatorTier.BEGINNER: ["new_to_niche"],
|
| 20 |
+
CreatorTier.GROWING: ["new_to_niche", "established_in_niche"],
|
| 21 |
+
CreatorTier.ESTABLISHED: ["established_in_niche", "niche_authority"],
|
| 22 |
+
CreatorTier.VERIFIED: ["niche_authority"],
|
| 23 |
+
}
|
| 24 |
+
|
| 25 |
+
_POSTING_FREQ_BY_TIER = {
|
| 26 |
+
CreatorTier.BEGINNER: [PostingFrequency.RARE, PostingFrequency.REGULAR],
|
| 27 |
+
CreatorTier.GROWING: [PostingFrequency.REGULAR, PostingFrequency.FREQUENT],
|
| 28 |
+
CreatorTier.ESTABLISHED: [PostingFrequency.FREQUENT, PostingFrequency.DAILY],
|
| 29 |
+
CreatorTier.VERIFIED: [PostingFrequency.FREQUENT, PostingFrequency.DAILY],
|
| 30 |
+
}
|
| 31 |
+
|
| 32 |
+
|
| 33 |
+
class ProfileGenerator:
|
| 34 |
+
NICHES = [
|
| 35 |
+
"personal finance", "cooking", "fitness", "tech reviews",
|
| 36 |
+
"small business", "agriculture", "fashion", "comedy",
|
| 37 |
+
"productivity", "travel", "education", "local culture",
|
| 38 |
+
]
|
| 39 |
+
|
| 40 |
+
def generate(self, tier: CreatorTier, niche: str, seed: int = 42) -> CreatorProfile:
|
| 41 |
+
rng = random.Random(seed)
|
| 42 |
+
|
| 43 |
+
follower_count = self._follower_count(tier, rng)
|
| 44 |
+
engagement_rate = self._engagement_rate(tier, rng)
|
| 45 |
+
retention_rate = round(rng.uniform(0.25, 0.65), 3)
|
| 46 |
+
posting_freq = rng.choice(_POSTING_FREQ_BY_TIER[tier])
|
| 47 |
+
niche_maturity = rng.choice(_NICHE_MATURITY_BY_TIER[tier])
|
| 48 |
+
voice = rng.sample(_VOICE_POOL, k=rng.randint(2, 4))
|
| 49 |
+
platform = rng.choice(["Reels", "Shorts", "TikTok"])
|
| 50 |
+
|
| 51 |
+
weak_pool = list(_ALL_CRITIQUE_CLASSES)
|
| 52 |
+
weak_points = rng.sample(weak_pool, k=rng.randint(1, 3))
|
| 53 |
+
remaining = [c for c in weak_pool if c not in weak_points]
|
| 54 |
+
strong_points = rng.sample(remaining, k=min(2, len(remaining)))
|
| 55 |
+
|
| 56 |
+
creator_id = f"{tier.value}_{niche.replace(' ', '_')}_{seed}"
|
| 57 |
+
|
| 58 |
+
return CreatorProfile(
|
| 59 |
+
creator_id=creator_id,
|
| 60 |
+
tier=tier,
|
| 61 |
+
follower_count=follower_count,
|
| 62 |
+
posting_frequency=posting_freq,
|
| 63 |
+
niche=niche,
|
| 64 |
+
niche_maturity=niche_maturity,
|
| 65 |
+
avg_engagement_rate=engagement_rate,
|
| 66 |
+
avg_retention_rate=retention_rate,
|
| 67 |
+
past_weak_points=weak_points,
|
| 68 |
+
past_strong_points=strong_points,
|
| 69 |
+
voice_descriptors=voice,
|
| 70 |
+
platform_primary=platform,
|
| 71 |
+
)
|
| 72 |
+
|
| 73 |
+
def generate_batch(self, n: int, tier_distribution: Optional[dict] = None) -> List[CreatorProfile]:
|
| 74 |
+
if tier_distribution is None:
|
| 75 |
+
tier_distribution = {
|
| 76 |
+
CreatorTier.BEGINNER: 0.40,
|
| 77 |
+
CreatorTier.GROWING: 0.35,
|
| 78 |
+
CreatorTier.ESTABLISHED: 0.20,
|
| 79 |
+
CreatorTier.VERIFIED: 0.05,
|
| 80 |
+
}
|
| 81 |
+
|
| 82 |
+
tiers = list(tier_distribution.keys())
|
| 83 |
+
weights = [tier_distribution[t] for t in tiers]
|
| 84 |
+
profiles = []
|
| 85 |
+
rng = random.Random(99)
|
| 86 |
+
|
| 87 |
+
for i in range(n):
|
| 88 |
+
tier = rng.choices(tiers, weights=weights, k=1)[0]
|
| 89 |
+
niche = rng.choice(self.NICHES)
|
| 90 |
+
profiles.append(self.generate(tier=tier, niche=niche, seed=i))
|
| 91 |
+
|
| 92 |
+
return profiles
|
| 93 |
+
|
| 94 |
+
# --- private helpers ---
|
| 95 |
+
|
| 96 |
+
def _follower_count(self, tier: CreatorTier, rng: random.Random) -> int:
|
| 97 |
+
ranges = {
|
| 98 |
+
CreatorTier.BEGINNER: (50, 999),
|
| 99 |
+
CreatorTier.GROWING: (1000, 9999),
|
| 100 |
+
CreatorTier.ESTABLISHED: (10000, 99999),
|
| 101 |
+
CreatorTier.VERIFIED: (100000, 2000000),
|
| 102 |
+
}
|
| 103 |
+
lo, hi = ranges[tier]
|
| 104 |
+
return rng.randint(lo, hi)
|
| 105 |
+
|
| 106 |
+
def _engagement_rate(self, tier: CreatorTier, rng: random.Random) -> float:
|
| 107 |
+
ranges = {
|
| 108 |
+
CreatorTier.BEGINNER: (0.08, 0.15),
|
| 109 |
+
CreatorTier.GROWING: (0.04, 0.08),
|
| 110 |
+
CreatorTier.ESTABLISHED: (0.02, 0.04),
|
| 111 |
+
CreatorTier.VERIFIED: (0.01, 0.02),
|
| 112 |
+
}
|
| 113 |
+
lo, hi = ranges[tier]
|
| 114 |
+
return round(rng.uniform(lo, hi), 4)
|
viral_script_engine/rewards/r8_persona_fit.py
ADDED
|
@@ -0,0 +1,105 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import json
|
| 2 |
+
from pathlib import Path
|
| 3 |
+
from typing import Optional
|
| 4 |
+
|
| 5 |
+
from pydantic import BaseModel
|
| 6 |
+
|
| 7 |
+
from viral_script_engine.environment.actions import ArbitratorAction
|
| 8 |
+
from viral_script_engine.personas.creator_profile import CreatorProfile
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
class PersonaFitResult(BaseModel):
|
| 12 |
+
score: float
|
| 13 |
+
tier_match: str # "priority" | "neutral" | "deprioritised" | "forbidden"
|
| 14 |
+
is_forbidden: bool
|
| 15 |
+
recurring_weakness_bonus: float
|
| 16 |
+
explanation: str
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
class PersonaFitReward:
|
| 20 |
+
"""
|
| 21 |
+
Measures whether the Arbitrator's chosen action is appropriate
|
| 22 |
+
for the creator's tier and profile.
|
| 23 |
+
|
| 24 |
+
Scoring:
|
| 25 |
+
- Action is in priority_actions for this tier: 1.0
|
| 26 |
+
- Action is neutral (not priority AND not deprioritised): 0.5
|
| 27 |
+
- Action is in deprioritised_actions for this tier: 0.2
|
| 28 |
+
- Action is explicitly forbidden for this tier: 0.0
|
| 29 |
+
|
| 30 |
+
Additionally, if past_weak_points contains the critique_class being
|
| 31 |
+
addressed, add +0.1 bonus (the Arbitrator correctly targeting a known
|
| 32 |
+
recurring issue). Cap total at 1.0.
|
| 33 |
+
"""
|
| 34 |
+
|
| 35 |
+
def __init__(self, kb_path: Optional[str] = None):
|
| 36 |
+
if kb_path is None:
|
| 37 |
+
kb_path = str(Path(__file__).parent.parent / "data" / "persona_advice_kb.json")
|
| 38 |
+
with open(kb_path, encoding="utf-8") as f:
|
| 39 |
+
self._kb = json.load(f)
|
| 40 |
+
|
| 41 |
+
def score(
|
| 42 |
+
self,
|
| 43 |
+
action: ArbitratorAction,
|
| 44 |
+
creator_profile: CreatorProfile,
|
| 45 |
+
addressed_critique_class: str,
|
| 46 |
+
) -> PersonaFitResult:
|
| 47 |
+
tier = creator_profile.tier.value
|
| 48 |
+
rules = self._kb.get(tier, {})
|
| 49 |
+
|
| 50 |
+
priority_actions = rules.get("priority_actions", [])
|
| 51 |
+
deprioritised_actions = rules.get("deprioritised_actions", [])
|
| 52 |
+
forbidden_advice = rules.get("forbidden_advice", [])
|
| 53 |
+
action_type = action.action_type.value
|
| 54 |
+
|
| 55 |
+
# Check forbidden first
|
| 56 |
+
is_forbidden = self._is_forbidden(action_type, forbidden_advice)
|
| 57 |
+
if is_forbidden:
|
| 58 |
+
return PersonaFitResult(
|
| 59 |
+
score=0.0,
|
| 60 |
+
tier_match="forbidden",
|
| 61 |
+
is_forbidden=True,
|
| 62 |
+
recurring_weakness_bonus=0.0,
|
| 63 |
+
explanation=f"Action '{action_type}' is forbidden for {tier} creators.",
|
| 64 |
+
)
|
| 65 |
+
|
| 66 |
+
# Determine base score
|
| 67 |
+
if action_type in priority_actions:
|
| 68 |
+
base_score = 1.0
|
| 69 |
+
tier_match = "priority"
|
| 70 |
+
elif action_type in deprioritised_actions:
|
| 71 |
+
base_score = 0.2
|
| 72 |
+
tier_match = "deprioritised"
|
| 73 |
+
else:
|
| 74 |
+
base_score = 0.5
|
| 75 |
+
tier_match = "neutral"
|
| 76 |
+
|
| 77 |
+
# Recurring weakness bonus
|
| 78 |
+
bonus = 0.0
|
| 79 |
+
if addressed_critique_class in creator_profile.past_weak_points:
|
| 80 |
+
bonus = 0.1
|
| 81 |
+
|
| 82 |
+
final_score = min(1.0, base_score + bonus)
|
| 83 |
+
explanation = (
|
| 84 |
+
f"Action '{action_type}' is {tier_match} for {tier} tier."
|
| 85 |
+
+ (f" +0.1 bonus: targeting known weak point '{addressed_critique_class}'." if bonus else "")
|
| 86 |
+
)
|
| 87 |
+
|
| 88 |
+
return PersonaFitResult(
|
| 89 |
+
score=final_score,
|
| 90 |
+
tier_match=tier_match,
|
| 91 |
+
is_forbidden=False,
|
| 92 |
+
recurring_weakness_bonus=bonus,
|
| 93 |
+
explanation=explanation,
|
| 94 |
+
)
|
| 95 |
+
|
| 96 |
+
def _is_forbidden(self, action_type: str, forbidden_advice: list) -> bool:
|
| 97 |
+
for phrase in forbidden_advice:
|
| 98 |
+
# Map action_type strings to forbidden phrases using substring match
|
| 99 |
+
if action_type == "hook_rewrite" and any(
|
| 100 |
+
kw in phrase for kw in ["hook", "change the hook", "simplify the hook"]
|
| 101 |
+
):
|
| 102 |
+
return True
|
| 103 |
+
if action_type == "cta_placement" and "add a CTA" in phrase:
|
| 104 |
+
return True
|
| 105 |
+
return False
|
viral_script_engine/rewards/reward_aggregator.py
CHANGED
|
@@ -11,7 +11,7 @@ logger = logging.getLogger(__name__)
|
|
| 11 |
_COMPONENT_FIELDS = [
|
| 12 |
"r1_hook_strength", "r2_coherence", "r3_cultural_alignment",
|
| 13 |
"r4_debate_resolution", "r5_defender_preservation",
|
| 14 |
-
"r6_safety", "r7_originality",
|
| 15 |
]
|
| 16 |
|
| 17 |
_DROP_THRESHOLD = 0.25
|
|
|
|
| 11 |
_COMPONENT_FIELDS = [
|
| 12 |
"r1_hook_strength", "r2_coherence", "r3_cultural_alignment",
|
| 13 |
"r4_debate_resolution", "r5_defender_preservation",
|
| 14 |
+
"r6_safety", "r7_originality", "r8_persona_fit",
|
| 15 |
]
|
| 16 |
|
| 17 |
_DROP_THRESHOLD = 0.25
|
viral_script_engine/scripts/run_dummy_episode.py
CHANGED
|
@@ -49,12 +49,26 @@ def run_episode(difficulty: str, steps: int, verbose: bool) -> dict:
|
|
| 49 |
env = ViralScriptEnv(scripts_path=scripts_path, cultural_kb_path=cultural_kb_path, max_steps=steps, difficulty=difficulty)
|
| 50 |
|
| 51 |
obs, _ = env.reset()
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 52 |
console.print(Panel(
|
| 53 |
f"[bold]Episode started[/bold]\n"
|
| 54 |
f"Difficulty: {difficulty} | Max steps: {steps}\n"
|
| 55 |
f"Region: {obs['region']} | Platform: {obs['platform']} | Niche: {obs['niche']}\n"
|
| 56 |
f"Episode ID: {obs['episode_id']}",
|
| 57 |
-
title="[bold blue]Phase
|
| 58 |
border_style="blue",
|
| 59 |
))
|
| 60 |
|
|
@@ -107,6 +121,10 @@ def run_episode(difficulty: str, steps: int, verbose: bool) -> dict:
|
|
| 107 |
r7_str = (f"{r7_val:.3f}{r7_suffix}" if r7_val is not None else "N/A")
|
| 108 |
t.add_row("R7 Originality", r7_str, _bar(r7_val) if r7_val is not None else "")
|
| 109 |
|
|
|
|
|
|
|
|
|
|
|
|
|
| 110 |
t.add_row("-" * 22, "-" * 12, "-" * 10)
|
| 111 |
t.add_row("[bold]Total[/bold]", f"[bold]{reward:.3f}[/bold]", _bar(reward))
|
| 112 |
|
|
@@ -227,19 +245,31 @@ def main():
|
|
| 227 |
console.print(f"[dim]Episode log saved -> {log_path}[/dim]")
|
| 228 |
|
| 229 |
final_rc = episode_log["final_state"]["reward_components"]
|
| 230 |
-
|
|
|
|
|
|
|
| 231 |
has_process_reward_key = "process_reward" in final_rc
|
|
|
|
|
|
|
|
|
|
| 232 |
gate_pass = (
|
| 233 |
final_rc.get("r6_safety") is not None
|
| 234 |
and final_rc.get("r7_originality") is not None
|
| 235 |
and has_process_reward_key
|
|
|
|
|
|
|
| 236 |
and log_path.exists()
|
| 237 |
)
|
| 238 |
style = "bold green" if gate_pass else "bold red"
|
| 239 |
if gate_pass:
|
| 240 |
-
label = "PHASE
|
| 241 |
else:
|
| 242 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 243 |
console.print(Panel(f"[{style}]{label}[/{style}]", border_style="green" if gate_pass else "red"))
|
| 244 |
|
| 245 |
|
|
|
|
| 49 |
env = ViralScriptEnv(scripts_path=scripts_path, cultural_kb_path=cultural_kb_path, max_steps=steps, difficulty=difficulty)
|
| 50 |
|
| 51 |
obs, _ = env.reset()
|
| 52 |
+
|
| 53 |
+
# Phase 8: show creator profile panel
|
| 54 |
+
cp = obs.get("creator_profile") or {}
|
| 55 |
+
if cp:
|
| 56 |
+
console.print(Panel(
|
| 57 |
+
f"Tier: {cp.get('tier','?').capitalize()} ({cp.get('follower_count','?')} followers)\n"
|
| 58 |
+
f"Frequency: {cp.get('posting_frequency','?')}\n"
|
| 59 |
+
f"Niche: {cp.get('niche','?')}\n"
|
| 60 |
+
f"Weak points: {', '.join(cp.get('past_weak_points', []))}\n"
|
| 61 |
+
f"Voice: {', '.join(cp.get('voice_descriptors', []))}",
|
| 62 |
+
title="[bold cyan]CREATOR PROFILE[/bold cyan]",
|
| 63 |
+
border_style="cyan",
|
| 64 |
+
))
|
| 65 |
+
|
| 66 |
console.print(Panel(
|
| 67 |
f"[bold]Episode started[/bold]\n"
|
| 68 |
f"Difficulty: {difficulty} | Max steps: {steps}\n"
|
| 69 |
f"Region: {obs['region']} | Platform: {obs['platform']} | Niche: {obs['niche']}\n"
|
| 70 |
f"Episode ID: {obs['episode_id']}",
|
| 71 |
+
title="[bold blue]Phase 8 Demo Episode[/bold blue]",
|
| 72 |
border_style="blue",
|
| 73 |
))
|
| 74 |
|
|
|
|
| 121 |
r7_str = (f"{r7_val:.3f}{r7_suffix}" if r7_val is not None else "N/A")
|
| 122 |
t.add_row("R7 Originality", r7_str, _bar(r7_val) if r7_val is not None else "")
|
| 123 |
|
| 124 |
+
r8_val = rc.get("r8_persona_fit")
|
| 125 |
+
r8_str = f"{r8_val:.3f}" if r8_val is not None else "N/A"
|
| 126 |
+
t.add_row("R8 Persona Fit", r8_str, _bar(r8_val) if r8_val is not None else "")
|
| 127 |
+
|
| 128 |
t.add_row("-" * 22, "-" * 12, "-" * 10)
|
| 129 |
t.add_row("[bold]Total[/bold]", f"[bold]{reward:.3f}[/bold]", _bar(reward))
|
| 130 |
|
|
|
|
| 245 |
console.print(f"[dim]Episode log saved -> {log_path}[/dim]")
|
| 246 |
|
| 247 |
final_rc = episode_log["final_state"]["reward_components"]
|
| 248 |
+
final_profile = episode_log["final_state"].get("creator_profile") or {}
|
| 249 |
+
profile_tier = final_profile.get("tier", "")
|
| 250 |
+
|
| 251 |
has_process_reward_key = "process_reward" in final_rc
|
| 252 |
+
has_r8_key = "r8_persona_fit" in final_rc
|
| 253 |
+
has_profile = bool(final_profile)
|
| 254 |
+
|
| 255 |
gate_pass = (
|
| 256 |
final_rc.get("r6_safety") is not None
|
| 257 |
and final_rc.get("r7_originality") is not None
|
| 258 |
and has_process_reward_key
|
| 259 |
+
and has_r8_key
|
| 260 |
+
and has_profile
|
| 261 |
and log_path.exists()
|
| 262 |
)
|
| 263 |
style = "bold green" if gate_pass else "bold red"
|
| 264 |
if gate_pass:
|
| 265 |
+
label = f"PHASE 8 GATE: PASS β Creator persona active. R8 (persona fit) firing. Profile tier: {profile_tier}."
|
| 266 |
else:
|
| 267 |
+
missing = []
|
| 268 |
+
if not has_r8_key:
|
| 269 |
+
missing.append("r8_persona_fit missing from reward output")
|
| 270 |
+
if not has_profile:
|
| 271 |
+
missing.append("creator_profile missing from episode state")
|
| 272 |
+
label = "PHASE 8 GATE: FAIL β " + "; ".join(missing) if missing else "PHASE 8 GATE: FAIL"
|
| 273 |
console.print(Panel(f"[{style}]{label}[/{style}]", border_style="green" if gate_pass else "red"))
|
| 274 |
|
| 275 |
|
viral_script_engine/tests/test_phase8.py
ADDED
|
@@ -0,0 +1,310 @@
|
|
|
|
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|
| 1 |
+
"""Phase 8 tests β Creator Persona Modelling."""
|
| 2 |
+
import json
|
| 3 |
+
import sys
|
| 4 |
+
from pathlib import Path
|
| 5 |
+
from unittest.mock import patch
|
| 6 |
+
|
| 7 |
+
import pytest
|
| 8 |
+
|
| 9 |
+
sys.path.insert(0, str(Path(__file__).parent.parent.parent))
|
| 10 |
+
|
| 11 |
+
from viral_script_engine.personas.creator_profile import CreatorProfile, CreatorTier, PostingFrequency
|
| 12 |
+
from viral_script_engine.personas.profile_generator import ProfileGenerator
|
| 13 |
+
from viral_script_engine.rewards.r8_persona_fit import PersonaFitReward
|
| 14 |
+
from viral_script_engine.environment.actions import ArbitratorAction, ActionType
|
| 15 |
+
|
| 16 |
+
KB_PATH = str(Path(__file__).parent.parent / "data" / "persona_advice_kb.json")
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
# ββ ProfileGenerator ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 20 |
+
|
| 21 |
+
class TestProfileGenerator:
|
| 22 |
+
def setup_method(self):
|
| 23 |
+
self.gen = ProfileGenerator()
|
| 24 |
+
|
| 25 |
+
def test_generate_beginner_within_range(self):
|
| 26 |
+
p = self.gen.generate(CreatorTier.BEGINNER, "cooking", seed=1)
|
| 27 |
+
assert 50 <= p.follower_count <= 999
|
| 28 |
+
assert 0.08 <= p.avg_engagement_rate <= 0.15
|
| 29 |
+
assert p.tier == CreatorTier.BEGINNER
|
| 30 |
+
assert p.niche == "cooking"
|
| 31 |
+
|
| 32 |
+
def test_generate_growing_within_range(self):
|
| 33 |
+
p = self.gen.generate(CreatorTier.GROWING, "fitness", seed=2)
|
| 34 |
+
assert 1000 <= p.follower_count <= 9999
|
| 35 |
+
assert 0.04 <= p.avg_engagement_rate <= 0.08
|
| 36 |
+
assert p.tier == CreatorTier.GROWING
|
| 37 |
+
|
| 38 |
+
def test_generate_established_within_range(self):
|
| 39 |
+
p = self.gen.generate(CreatorTier.ESTABLISHED, "tech reviews", seed=3)
|
| 40 |
+
assert 10000 <= p.follower_count <= 99999
|
| 41 |
+
assert 0.02 <= p.avg_engagement_rate <= 0.04
|
| 42 |
+
assert p.tier == CreatorTier.ESTABLISHED
|
| 43 |
+
|
| 44 |
+
def test_generate_verified_within_range(self):
|
| 45 |
+
p = self.gen.generate(CreatorTier.VERIFIED, "comedy", seed=4)
|
| 46 |
+
assert 100000 <= p.follower_count <= 2000000
|
| 47 |
+
assert 0.01 <= p.avg_engagement_rate <= 0.02
|
| 48 |
+
assert p.tier == CreatorTier.VERIFIED
|
| 49 |
+
|
| 50 |
+
def test_generate_is_deterministic(self):
|
| 51 |
+
p1 = self.gen.generate(CreatorTier.GROWING, "cooking", seed=42)
|
| 52 |
+
p2 = self.gen.generate(CreatorTier.GROWING, "cooking", seed=42)
|
| 53 |
+
assert p1.follower_count == p2.follower_count
|
| 54 |
+
assert p1.avg_engagement_rate == p2.avg_engagement_rate
|
| 55 |
+
assert p1.past_weak_points == p2.past_weak_points
|
| 56 |
+
|
| 57 |
+
def test_generate_profile_has_weak_and_strong_points(self):
|
| 58 |
+
p = self.gen.generate(CreatorTier.BEGINNER, "education", seed=7)
|
| 59 |
+
assert 1 <= len(p.past_weak_points) <= 3
|
| 60 |
+
assert 1 <= len(p.past_strong_points) <= 2
|
| 61 |
+
overlap = set(p.past_weak_points) & set(p.past_strong_points)
|
| 62 |
+
assert len(overlap) == 0, "Weak and strong points must not overlap"
|
| 63 |
+
|
| 64 |
+
def test_generate_valid_pydantic_model(self):
|
| 65 |
+
p = self.gen.generate(CreatorTier.ESTABLISHED, "personal finance", seed=10)
|
| 66 |
+
assert isinstance(p, CreatorProfile)
|
| 67 |
+
assert isinstance(p.posting_frequency, PostingFrequency)
|
| 68 |
+
assert 0.0 <= p.avg_retention_rate <= 1.0
|
| 69 |
+
|
| 70 |
+
def test_generate_batch_size(self):
|
| 71 |
+
profiles = self.gen.generate_batch(20)
|
| 72 |
+
assert len(profiles) == 20
|
| 73 |
+
|
| 74 |
+
def test_generate_batch_tier_distribution(self):
|
| 75 |
+
profiles = self.gen.generate_batch(200)
|
| 76 |
+
tiers = [p.tier for p in profiles]
|
| 77 |
+
beginner_ratio = tiers.count(CreatorTier.BEGINNER) / len(tiers)
|
| 78 |
+
verified_ratio = tiers.count(CreatorTier.VERIFIED) / len(tiers)
|
| 79 |
+
# beginner should be highest, verified should be lowest
|
| 80 |
+
assert beginner_ratio > verified_ratio
|
| 81 |
+
# beginner should be roughly 40% Β± 15%
|
| 82 |
+
assert 0.25 <= beginner_ratio <= 0.55
|
| 83 |
+
|
| 84 |
+
def test_needs_fundamentals_property(self):
|
| 85 |
+
beginner = self.gen.generate(CreatorTier.BEGINNER, "cooking", seed=1)
|
| 86 |
+
verified = self.gen.generate(CreatorTier.VERIFIED, "cooking", seed=1)
|
| 87 |
+
assert beginner.needs_fundamentals is True
|
| 88 |
+
assert verified.needs_fundamentals is False
|
| 89 |
+
|
| 90 |
+
def test_needs_refinement_property(self):
|
| 91 |
+
established = self.gen.generate(CreatorTier.ESTABLISHED, "cooking", seed=1)
|
| 92 |
+
beginner = self.gen.generate(CreatorTier.BEGINNER, "cooking", seed=1)
|
| 93 |
+
assert established.needs_refinement is True
|
| 94 |
+
assert beginner.needs_refinement is False
|
| 95 |
+
|
| 96 |
+
|
| 97 |
+
# ββ PersonaFitReward βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 98 |
+
|
| 99 |
+
def _make_action(action_type: ActionType) -> ArbitratorAction:
|
| 100 |
+
return ArbitratorAction(
|
| 101 |
+
action_type=action_type,
|
| 102 |
+
target_section="hook",
|
| 103 |
+
instruction="Test instruction",
|
| 104 |
+
critique_claim_id="C1",
|
| 105 |
+
reasoning="Test reasoning",
|
| 106 |
+
)
|
| 107 |
+
|
| 108 |
+
|
| 109 |
+
def _make_profile(tier: CreatorTier, weak_points=None) -> CreatorProfile:
|
| 110 |
+
gen = ProfileGenerator()
|
| 111 |
+
p = gen.generate(tier=tier, niche="fitness", seed=99)
|
| 112 |
+
if weak_points is not None:
|
| 113 |
+
p = p.model_copy(update={"past_weak_points": weak_points})
|
| 114 |
+
return p
|
| 115 |
+
|
| 116 |
+
|
| 117 |
+
class TestPersonaFitReward:
|
| 118 |
+
def setup_method(self):
|
| 119 |
+
self.r8 = PersonaFitReward(kb_path=KB_PATH)
|
| 120 |
+
|
| 121 |
+
def test_priority_action_scores_1(self):
|
| 122 |
+
# hook_rewrite is priority for beginner
|
| 123 |
+
action = _make_action(ActionType.HOOK_REWRITE)
|
| 124 |
+
profile = _make_profile(CreatorTier.BEGINNER)
|
| 125 |
+
result = self.r8.score(action, profile, addressed_critique_class="irrelevant")
|
| 126 |
+
assert result.score == 1.0
|
| 127 |
+
assert result.tier_match == "priority"
|
| 128 |
+
assert result.is_forbidden is False
|
| 129 |
+
|
| 130 |
+
def test_forbidden_action_scores_0(self):
|
| 131 |
+
# hook_rewrite is forbidden for verified
|
| 132 |
+
action = _make_action(ActionType.HOOK_REWRITE)
|
| 133 |
+
profile = _make_profile(CreatorTier.VERIFIED)
|
| 134 |
+
result = self.r8.score(action, profile, addressed_critique_class="hook_weakness")
|
| 135 |
+
assert result.score == 0.0
|
| 136 |
+
assert result.is_forbidden is True
|
| 137 |
+
|
| 138 |
+
def test_deprioritised_action_scores_low(self):
|
| 139 |
+
# cultural_ref_sub is deprioritised for beginner
|
| 140 |
+
# pass explicit weak_points that exclude cultural_mismatch to avoid the +0.1 bonus
|
| 141 |
+
action = _make_action(ActionType.CULTURAL_REF_SUB)
|
| 142 |
+
profile = _make_profile(CreatorTier.BEGINNER, weak_points=["hook_weakness"])
|
| 143 |
+
result = self.r8.score(action, profile, addressed_critique_class="cultural_mismatch")
|
| 144 |
+
assert result.score == pytest.approx(0.2, abs=0.01)
|
| 145 |
+
assert result.tier_match == "deprioritised"
|
| 146 |
+
|
| 147 |
+
def test_neutral_action_scores_mid(self):
|
| 148 |
+
# cta_placement is neutral for growing tier:
|
| 149 |
+
# priority=[hook_rewrite, section_reorder], deprioritised=[cultural_ref_sub], forbidden=[]
|
| 150 |
+
# pass weak_points that exclude cta_buried to avoid the +0.1 bonus
|
| 151 |
+
action = _make_action(ActionType.CTA_PLACEMENT)
|
| 152 |
+
profile = _make_profile(CreatorTier.GROWING, weak_points=["hook_weakness"])
|
| 153 |
+
result = self.r8.score(action, profile, addressed_critique_class="cta_buried")
|
| 154 |
+
assert result.score == pytest.approx(0.5, abs=0.01)
|
| 155 |
+
assert result.tier_match == "neutral"
|
| 156 |
+
|
| 157 |
+
def test_recurring_weakness_bonus_applied(self):
|
| 158 |
+
# beginner, hook_rewrite (priority=1.0) + hook_weakness in weak points
|
| 159 |
+
action = _make_action(ActionType.HOOK_REWRITE)
|
| 160 |
+
profile = _make_profile(CreatorTier.BEGINNER, weak_points=["hook_weakness", "cta_buried"])
|
| 161 |
+
result = self.r8.score(action, profile, addressed_critique_class="hook_weakness")
|
| 162 |
+
assert result.recurring_weakness_bonus == pytest.approx(0.1)
|
| 163 |
+
assert result.score == pytest.approx(1.0) # capped at 1.0
|
| 164 |
+
|
| 165 |
+
def test_recurring_weakness_bonus_not_applied_when_not_matching(self):
|
| 166 |
+
action = _make_action(ActionType.HOOK_REWRITE)
|
| 167 |
+
profile = _make_profile(CreatorTier.BEGINNER, weak_points=["pacing_issue"])
|
| 168 |
+
result = self.r8.score(action, profile, addressed_critique_class="hook_weakness")
|
| 169 |
+
assert result.recurring_weakness_bonus == 0.0
|
| 170 |
+
assert result.score == pytest.approx(1.0)
|
| 171 |
+
|
| 172 |
+
def test_score_capped_at_1(self):
|
| 173 |
+
# priority (1.0) + bonus (0.1) should be capped at 1.0
|
| 174 |
+
action = _make_action(ActionType.HOOK_REWRITE)
|
| 175 |
+
profile = _make_profile(CreatorTier.BEGINNER, weak_points=["hook_weakness"])
|
| 176 |
+
result = self.r8.score(action, profile, addressed_critique_class="hook_weakness")
|
| 177 |
+
assert result.score <= 1.0
|
| 178 |
+
|
| 179 |
+
def test_result_has_explanation(self):
|
| 180 |
+
action = _make_action(ActionType.SECTION_REORDER)
|
| 181 |
+
profile = _make_profile(CreatorTier.GROWING)
|
| 182 |
+
result = self.r8.score(action, profile, addressed_critique_class="pacing_issue")
|
| 183 |
+
assert isinstance(result.explanation, str)
|
| 184 |
+
assert len(result.explanation) > 0
|
| 185 |
+
|
| 186 |
+
|
| 187 |
+
import json as _json
|
| 188 |
+
|
| 189 |
+
_MOCK_CRITIC = _json.dumps({
|
| 190 |
+
"claims": [
|
| 191 |
+
{
|
| 192 |
+
"claim_id": "C1",
|
| 193 |
+
"critique_class": "hook_weakness",
|
| 194 |
+
"claim_text": "Weak hook.",
|
| 195 |
+
"timestamp_range": "0:00-0:03",
|
| 196 |
+
"evidence": "generic opener",
|
| 197 |
+
"is_falsifiable": True,
|
| 198 |
+
"severity": "high",
|
| 199 |
+
}
|
| 200 |
+
],
|
| 201 |
+
"overall_severity": "high",
|
| 202 |
+
})
|
| 203 |
+
|
| 204 |
+
_MOCK_DEFENDER = _json.dumps({
|
| 205 |
+
"core_strength": "Strong regional authenticity",
|
| 206 |
+
"core_strength_quote": "The hook draws viewers immediately",
|
| 207 |
+
"defense_argument": "Regional voice is valuable",
|
| 208 |
+
"flagged_critic_claims": [],
|
| 209 |
+
"regional_voice_elements": ["local phrase"],
|
| 210 |
+
})
|
| 211 |
+
|
| 212 |
+
_MOCK_REWRITER = _json.dumps({
|
| 213 |
+
"rewritten_script": "Better script content here.",
|
| 214 |
+
"changes_made": ["improved hook"],
|
| 215 |
+
})
|
| 216 |
+
|
| 217 |
+
|
| 218 |
+
def _multi_mock(sys_prompt, usr_prompt, **kw):
|
| 219 |
+
if "core_strength" in sys_prompt or "defender" in sys_prompt.lower():
|
| 220 |
+
return _MOCK_DEFENDER
|
| 221 |
+
if "rewriter" in sys_prompt.lower() or "rewrite" in sys_prompt.lower()[:50]:
|
| 222 |
+
return _MOCK_REWRITER
|
| 223 |
+
return _MOCK_CRITIC
|
| 224 |
+
|
| 225 |
+
|
| 226 |
+
# ββ Environment integration βββββββββββββββββββββββββββοΏ½οΏ½ββββββββββββββββββββββββ
|
| 227 |
+
|
| 228 |
+
class TestEnvironmentIntegration:
|
| 229 |
+
"""Tests that env.reset() and step() produce correct profile and R8."""
|
| 230 |
+
|
| 231 |
+
def _make_env(self, difficulty="medium"):
|
| 232 |
+
from viral_script_engine.environment.env import ViralScriptEnv
|
| 233 |
+
base = Path(__file__).parent.parent
|
| 234 |
+
return ViralScriptEnv(
|
| 235 |
+
scripts_path=str(base / "data" / "test_scripts" / "scripts.json"),
|
| 236 |
+
cultural_kb_path=str(base / "data" / "cultural_kb.json"),
|
| 237 |
+
max_steps=2,
|
| 238 |
+
difficulty=difficulty,
|
| 239 |
+
use_anti_gaming=False,
|
| 240 |
+
use_escalation=False,
|
| 241 |
+
)
|
| 242 |
+
|
| 243 |
+
def test_reset_returns_creator_profile(self):
|
| 244 |
+
env = self._make_env()
|
| 245 |
+
obs, _ = env.reset(seed=1)
|
| 246 |
+
assert "creator_profile" in obs
|
| 247 |
+
assert obs["creator_profile"] is not None
|
| 248 |
+
assert "tier" in obs["creator_profile"]
|
| 249 |
+
|
| 250 |
+
def test_profile_tier_matches_difficulty_easy(self):
|
| 251 |
+
env = self._make_env(difficulty="easy")
|
| 252 |
+
obs, _ = env.reset(seed=1)
|
| 253 |
+
tier = obs["creator_profile"]["tier"]
|
| 254 |
+
assert tier in ["beginner", "growing"]
|
| 255 |
+
|
| 256 |
+
def test_profile_tier_matches_difficulty_hard(self):
|
| 257 |
+
env = self._make_env(difficulty="hard")
|
| 258 |
+
obs, _ = env.reset(seed=1)
|
| 259 |
+
tier = obs["creator_profile"]["tier"]
|
| 260 |
+
assert tier in ["established", "verified"]
|
| 261 |
+
|
| 262 |
+
def test_step_returns_r8_in_reward_components(self, monkeypatch):
|
| 263 |
+
monkeypatch.setattr(
|
| 264 |
+
"viral_script_engine.agents.llm_backend.LLMBackend.generate",
|
| 265 |
+
lambda self, sys_prompt, usr_prompt, **kw: _multi_mock(sys_prompt, usr_prompt, **kw),
|
| 266 |
+
)
|
| 267 |
+
env = self._make_env()
|
| 268 |
+
env.reset(seed=5)
|
| 269 |
+
action = {
|
| 270 |
+
"action_type": "hook_rewrite",
|
| 271 |
+
"target_section": "hook",
|
| 272 |
+
"instruction": "Rewrite the hook.",
|
| 273 |
+
"critique_claim_id": "C1",
|
| 274 |
+
"reasoning": "Testing R8",
|
| 275 |
+
}
|
| 276 |
+
obs, reward, done, trunc, info = env.step(action)
|
| 277 |
+
rc = info["reward_components"]
|
| 278 |
+
assert "r8_persona_fit" in rc
|
| 279 |
+
|
| 280 |
+
def test_observation_includes_profile_dict(self):
|
| 281 |
+
env = self._make_env()
|
| 282 |
+
obs, _ = env.reset(seed=3)
|
| 283 |
+
profile = obs["creator_profile"]
|
| 284 |
+
assert isinstance(profile["follower_count"], int)
|
| 285 |
+
assert isinstance(profile["avg_engagement_rate"], float)
|
| 286 |
+
assert isinstance(profile["past_weak_points"], list)
|
| 287 |
+
|
| 288 |
+
def test_prompt_template_includes_profile_fields(self):
|
| 289 |
+
from viral_script_engine.training.rollout_function import _format_observation_prompt
|
| 290 |
+
obs = {
|
| 291 |
+
"current_script": "Test script",
|
| 292 |
+
"region": "Mumbai",
|
| 293 |
+
"platform": "Reels",
|
| 294 |
+
"niche": "fitness",
|
| 295 |
+
"reward_components": {"r1_hook_strength": 0.5, "r2_coherence": 0.6},
|
| 296 |
+
"debate_history": [],
|
| 297 |
+
"creator_profile": {
|
| 298 |
+
"tier": "growing",
|
| 299 |
+
"follower_count": 4200,
|
| 300 |
+
"posting_frequency": "regular",
|
| 301 |
+
"past_weak_points": ["hook_weakness", "cta_buried"],
|
| 302 |
+
"voice_descriptors": ["direct", "Hinglish"],
|
| 303 |
+
"niche_maturity": "established_in_niche",
|
| 304 |
+
},
|
| 305 |
+
}
|
| 306 |
+
prompt = _format_observation_prompt(obs, step_num=1, max_steps=3)
|
| 307 |
+
assert "CREATOR PROFILE" in prompt
|
| 308 |
+
assert "growing" in prompt
|
| 309 |
+
assert "4200" in prompt
|
| 310 |
+
assert "hook_weakness" in prompt
|
viral_script_engine/training/rollout_function.py
CHANGED
|
@@ -76,11 +76,25 @@ def _format_observation_prompt(obs: dict, step_num: int, max_steps: int) -> str:
|
|
| 76 |
f"Flagged claims: {df.get('flagged_critic_claims', [])}"
|
| 77 |
)
|
| 78 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 79 |
return (
|
| 80 |
f"<|system|>\n{ARBITRATOR_SYSTEM}\n<|end|>\n\n"
|
| 81 |
f"<|user|>\n"
|
| 82 |
f"CURRENT SCRIPT:\n{current_script}\n\n"
|
| 83 |
f"REGION: {region} | PLATFORM: {platform} | NICHE: {niche}\n\n"
|
|
|
|
| 84 |
f"CRITIC CLAIMS:\n{critic_text}\n\n"
|
| 85 |
f"DEFENDER RESPONSE:\n{defender_text}\n\n"
|
| 86 |
f"CURRENT REWARDS: R1={r1:.2f} R2={r2:.2f} R3={r3} R4={r4} R5={r5}\n"
|
|
|
|
| 76 |
f"Flagged claims: {df.get('flagged_critic_claims', [])}"
|
| 77 |
)
|
| 78 |
|
| 79 |
+
# Phase 8: include creator profile in prompt
|
| 80 |
+
profile = obs.get("creator_profile") or {}
|
| 81 |
+
profile_section = ""
|
| 82 |
+
if profile:
|
| 83 |
+
profile_section = (
|
| 84 |
+
f"\nCREATOR PROFILE:\n"
|
| 85 |
+
f"Tier: {profile.get('tier', 'unknown')} ({profile.get('follower_count', '?')} followers)\n"
|
| 86 |
+
f"Posting frequency: {profile.get('posting_frequency', 'unknown')}\n"
|
| 87 |
+
f"Recurring weak points: {profile.get('past_weak_points', [])}\n"
|
| 88 |
+
f"Voice: {profile.get('voice_descriptors', [])}\n"
|
| 89 |
+
f"Niche maturity: {profile.get('niche_maturity', 'unknown')}\n"
|
| 90 |
+
)
|
| 91 |
+
|
| 92 |
return (
|
| 93 |
f"<|system|>\n{ARBITRATOR_SYSTEM}\n<|end|>\n\n"
|
| 94 |
f"<|user|>\n"
|
| 95 |
f"CURRENT SCRIPT:\n{current_script}\n\n"
|
| 96 |
f"REGION: {region} | PLATFORM: {platform} | NICHE: {niche}\n\n"
|
| 97 |
+
f"{profile_section}"
|
| 98 |
f"CRITIC CLAIMS:\n{critic_text}\n\n"
|
| 99 |
f"DEFENDER RESPONSE:\n{defender_text}\n\n"
|
| 100 |
f"CURRENT REWARDS: R1={r1:.2f} R2={r2:.2f} R3={r3} R4={r4} R5={r5}\n"
|