EVOTECH IT SRL 8ecc78e729 livrare lot 2

2026-07-10 03:39:53 -07:00

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VERDICT ALIGNMENT PLAN

Plan complet de aliniere PG ↔ Redis ↔ Cod pentru tot sistemul de verdict.

Regula de aur: PG = source of truth. Redis = cache rapid. Cod = zero hardcodari (doar defaults de fallback). Flow: Admin Dashboard → CRUD PG (didiFramework) → Sync Redis → agent-v3 citeste din Redis.

1. INVENTAR ACTUAL — UNDE E FIECARE PARAMETRU

VERDE — Aliniat PG ↔ Redis ↔ UI (functioneaza corect)

#	Parametru	PG tabel	Redis cheie	UI	agent-v3 citeste din
1	Verdict categories (ranges, culori)	`verdict_category`	`didi:framework:verdicts`	FrameworkDashboard	Redis
2	Risk mappings (ranges)	`risk_mapping`	`didi:framework:verdicts`	FrameworkDashboard	Redis
3	Severity (ranges + actiuni)	`severity_assessment`	`didi:framework:verdicts`	FrameworkDashboard	Redis
4	Component weights (35/25/20/10/10)	`component_weight`	`didi:framework:weights`	FrameworkDashboard	Redis
5	Weight scenarios	`weight_scenario`	`didi:framework:weights`	FrameworkDashboard	Redis
6	Topic multipliers	`multiplier`	`didi:framework:weights`	FrameworkDashboard	Redis
7	Claim statuses (VT, LT, UV...)	`claim`	`didi:framework:claims`	FrameworkDashboard	Redis
8	Claim types (VF, SC, QA...)	`claim_type`	`didi:framework:claims`	FrameworkDashboard	Redis
9	Claim confidence levels	`confidence`	`didi:framework:claims`	FrameworkDashboard	Redis
10	Claim interpretations	`interpretation`	`didi:framework:claims`	FrameworkDashboard	Redis
11	LLM stage assignments	`component_stage_assignment`	`didi:config:*:stage_assignments`	LLMComponentsConfig	Redis
12	LLM prompts	`component_prompt`	`didi:config::prompts:`	LLMComponentsConfig	Redis
13	LLM available models	derivat din assignments	`didi:config:*:available_models`	LLMComponentsConfig	Redis
14	Platforms (social media)	`platform`	`didi:framework:sources`	FrameworkDashboard	Redis
15	Source credibility params	`source_credibility` + altele	`didi:framework:sources`	FrameworkDashboard	Redis
16	Techniques hierarchy	`dimension/subdimension/technique/indicator`	`didi:framework:techniques`	FrameworkDashboard	Redis

Total: 16 parametri complet aliniati. Functionale, cu UI, cu sync.

GALBEN — Exista in Redis dar NU in PG (puse manual, fara persistenta)

Mecanismul component_config (tabel PG) → didi:config:* (Redis) exista in sync-redis.ts (linia 576-583). Dar nimeni nu a inserat randurile in PG. Cheile au fost puse direct in Redis manual.

#	Redis cheie	Continut (rezumat)	In PG?	In UI?	Risc
17	`didi:config:techniques:v3:scoring_config`	countBonus, dimensionBonus, intensityBonus, manipulation_levels, warning_flags	NU	NU	Se pierde daca Redis se sterge
18	`didi:config:techniques:v3:coupling_registry`	Coupling config	NU	NU
19	`didi:config:techniques:v3:schemas:*` (3 chei)	Zod schemas export	NU	NU
20	`didi:config:techniques:v3:dimensions_compact`	Dimensiuni compacte pt screening	NU	NU	Derivabil din techniques hierarchy
21	`didi:config:ai-tampered:v1:scoring_config`	thresholds (70/50/30), disclosure_impact (0.3/0.5/0.7/1.0), category_weights, confidence_levels	NU	NU	Se pierde
22	`didi:config:ai-tampered:v1:categories_compact`	Categorii AI compacte pt screening	NU	NU
23	`didi:config:ai-tampered:v1:indicators_hierarchy`	Categorii + indicatori AI	NU	NU
24	`didi:config:ai-tampered:v1:quick_patterns`	Hedging patterns (regex)	NU	NU
25	`didi:config:ai-tampered:v1:coupling_registry`	Coupling config AI	NU	NU
26	`didi:config:ai-tampered:v1:schemas:*` (3 chei)	Zod schemas AI	NU	NU
27	`didi:config:ai-tampered:v1:vision_models`	Cascade viziune (Qwen→Gemini→GPT-4o)	NU	NU
28	`didi:config:claims:v1:scoring_config`	status_thresholds, claim_type_weights, source_reliability_weights	NU	NU	Se pierde
29	`didi:config:pipeline:v1:verdict_config`	synergy, overrides, confidence, confidence_levels	NU	NU	Se pierde — CRITIC
30	`didi:config:pipeline:v1:component_config`	Components enabled/disabled, applies_to, timeouts	NU	NU	Se pierde
31	`didi:config:pipeline:v1:session_config`	Session config	NU	NU
32	`didi:config:pipeline:v1:external_apis`	API URLs externe	NU	NU
33	`didi:config:pipeline:v1:prompts:verdict_explanation`	Prompt verdict reviewer	NU	NU
34	`didi:config:vision:v1:prompts:extraction`	Prompt Vision OCR	NU	NU
35	`didi:config:vision:v1:prompts:video_frames`	Prompt Vision video frames	NU	NU
36	`didi:config:vision:v1:prompts:ai_detection`	Prompt Vision AI detection	NU	NU
37	`didi:config:verdict:v1:available_models`	Modele LLM verdict reviewer	NU	NU
38	`didi:config:source-assessment:v1:available_models`	Modele LLM source assessment	NU	NU

Total: 22 parametri (unele cu sub-chei) in Redis fara PG. RISC: se pierd la orice Redis flush/restart fara persistenta.

ROSU — Hardcodat DOAR in cod (nici PG, nici Redis)

#	Parametru	Fisier	Valoare actuala	Ar trebui in
39	Count scaler divisor	`techniques/executor.ts:614`	`3` (1 tech=33%)	`techniques.scoring_config`
40	Severe technique threshold	`techniques/executor.ts:686`	`severity >= 8`	`techniques.scoring_config`
41	Intensity bonus formula	`techniques/executor.ts:635`	`min(0.15, sqrt(x-1)*0.05)`	`techniques.scoring_config` (codul sa citeasca parametrii, nu formula string)
42	AI blend screening/deep	`ai-tampered/executor.ts:705`	`0.6 / 0.4`	`ai-tampered.scoring_config`
43	AI undisclosed threshold	`ai-tampered/executor.ts:725`	`>= 50`	`ai-tampered.scoring_config`
44	AI disclosure rating vals	`ai-tampered/executor.ts:792-798`	`80/40/25/+15/+5`	Inlocuit de `disclosure_impact` din Redis #21
45	AI quick analyze scores	`ai-tampered/executor.ts:378-410`	`+10/+30/+15/+40/+25`	`ai-tampered.scoring_config.quick_scores`
46	Source axis weights	`source-assessment/executor.ts:110-113`	`0.35/0.25/0.25/0.15`	`source-assessment.scoring_config` (NOU)
47	Source verdict thresholds	`source-assessment/executor.ts:296-299`	`70/50/30`	`source-assessment.scoring_config` (NOU)
48	Video track weights	`component-worker.ts`	`0.40/0.60`	`pipeline.component_config`
49	Video min text chars	`component-worker.ts`	`200`	`pipeline.component_config`
50	Claims status weights	`claims/executor.ts:681-688`	`VT=1.0,LT=0.75,UV=0.5,...`	`claims.scoring_config.status_weights` (exista partial in Redis dar codul NU citeste)
51	Claims "all UV = 75%"	`claims/executor.ts:673`	`0.75`	`claims.scoring_config.all_unverified_credibility`
52	Input profiles per type	NICAIERI	nu exista	`pipeline.input_profiles` (NOU)
53	INCONCLUSIVE rules	`verdict-calculator.ts:321-337`	3 if-uri	`pipeline.input_profiles` (NOU)
54	Context = -1 always	`verdict-calculator.ts:448`	`-1`	ELIMINAT din formula

Total: 16 parametri hardcodati in cod.

DIVERGENTE — Acelasi parametru cu valori diferite in Redis vs Cod

#	Parametru	In Redis	In Cod	Codul citeste din
D1	Claims status weights	Redis: `claim_type_weights: {EF:0.95, VF:0.85...}` (tip → weight)	Cod: `{VT:1.0, LT:0.75, UV:0.5...}` (status → weight)	COD — sunt concepte DIFERITE, nu duplicate
D2	Intensity bonus	Redis: `formula: "(avg_intensity - 1) * 0.05"` (string, neexecutat)	Cod: `min(0.15, sqrt(x-1)*0.05)` (formula diferita!)	COD — Redis are formula veche, codul are noua
D3	Override false_claims	Redis: `per_claim:5, max:20, threshold:3`	Cod DEFAULT: `per_claim:15, max:40, threshold:1`	REDIS (codul citeste din Redis, defaults doar fallback)
D4	Disclosure impact	Redis: `explicit:0.3, partial:0.5, implied:0.7`	Cod: doar `undisclosed_ai: +15` override	REDIS pt disclosure_impact, COD pt override bonus

D3 e important: Redis are false_claims.per_claim=5 si max=20, dar codul DEFAULT are per_claim=15 si max=40. Daca Redis e disponibil → se folosesc valorile mici din Redis. Daca Redis e indisponibil → fallback la valorile mari din cod. Comportament inconsistent.

2. PLAN DE ALINIERE — FAZE DE IMPLEMENTARE

FAZA 0: Backup + Inventar (1 ora)

0.1  Export TOATE cheile Redis didi:config:* si didi:framework:* in JSON local
     → redis-cli --scan --pattern 'didi:*' | while read key; do echo "$key"; redis-cli -a redis123 GET "$key"; done > redis_backup.json

0.2  Verifica ca PG e accesibil si tabelele bos_parammgmt exista
     → psql → \dt bos_parammgmt.*

0.3  Lista randuri existente in component_config
     → SELECT * FROM bos_parammgmt.component_config ORDER BY component_code;

FAZA 1: Redis → PG (persistenta, fara schimbari de comportament)

Scop: Tot ce e in Redis dar nu in PG → inserat in component_config. Impact: Zero — agent-v3 citeste tot din Redis, sync-redis le va rescrie identic. Risc: Zero — doar adaugam randuri in PG.

1.1  Script SQL: INSERT INTO component_config pentru fiecare cheie Redis din sectiunea GALBEN
     - Citeste din Redis, formateaza ca INSERT
     - 22 INSERT-uri (unele cu JSONB mare)

1.2  Testeaza: POST /api/sync-redis → verifica ca Redis e identic dupa sync
     - Compara output sync cu backup-ul de la 0.1

1.3  Randuri noi in component_config:
     | component_code | config_key | sursa |
     |---|---|---|
     | techniques | scoring_config | din Redis didi:config:techniques:v3:scoring_config |
     | techniques | coupling_registry | din Redis |
     | techniques | schemas_screening | din Redis |
     | techniques | schemas_deep_per_dimension | din Redis |
     | techniques | schemas_complete | din Redis |
     | ai-tampered | scoring_config | din Redis |
     | ai-tampered | categories_compact | din Redis |
     | ai-tampered | indicators_hierarchy | din Redis |
     | ai-tampered | quick_patterns | din Redis |
     | ai-tampered | coupling_registry | din Redis |
     | ai-tampered | schemas_screening | din Redis |
     | ai-tampered | schemas_deep_per_category | din Redis |
     | ai-tampered | schemas_complete | din Redis |
     | ai-tampered | vision_models | din Redis |
     | claims | scoring_config | din Redis |
     | pipeline | verdict_config | din Redis |
     | pipeline | component_config | din Redis |
     | pipeline | session_config | din Redis |
     | pipeline | external_apis | din Redis |
     | vision | prompts_extraction | din Redis (sau in component_prompt) |
     | vision | prompts_video_frames | din Redis |
     | vision | prompts_ai_detection | din Redis |

     Nota: Prompturile vision pot merge in component_prompt (component_code='vision', stage_code='extraction/video_frames/ai_detection')
     Nota: verdict_explanation prompt merge in component_prompt (component_code='verdict', stage_code='explanation')
     Nota: source-assessment available_models si verdict available_models merg in component_stage_assignment

FAZA 2: Cod → Redis+PG (externalizare hardcodari)

Scop: Toate hardcodarile din sectiunea ROSU → adaugate in scoring_config (PG+Redis). Impact: Zero daca valorile sunt identice cu ce era hardcodat. Risc: Minim — codul citeste din Redis cu fallback la exact aceleasi valori.

2.1  Extinde techniques scoring_config in PG cu:
     {
       "count_scaler_divisor": 3,
       "severe_threshold": 8,
       "intensity_bonus_cap": 0.15,
       "intensity_bonus_coefficient": 0.05,
       "intensity_bonus_type": "sqrt"    // sqrt | linear
     }

     Modifica techniques/executor.ts:
     - Citeste count_scaler_divisor din scoringConfig (linia 614)
     - Citeste severe_threshold din scoringConfig (linia 686)
     - Citeste intensity params din scoringConfig (linia 635)
     - Fallback la valorile actuale daca Redis e gol

2.2  Extinde ai-tampered scoring_config in PG cu:
     {
       "blend_weights": { "screening": 0.6, "deep": 0.4 },
       "undisclosed_threshold": 50,
       "quick_scores": { "hedging": 10, "self_reference": 30, "tool_mention": 15, "explicit_disclosure": 40, "partial_disclosure": 25 }
     }

     Modifica ai-tampered/executor.ts:
     - Citeste blend_weights din scoringConfig (linia 705)
     - Citeste undisclosed_threshold din scoringConfig (linia 725)
     - Citeste quick_scores din scoringConfig (liniile 378-410)

2.3  Extinde claims scoring_config in PG cu:
     {
       "status_weights": { "VT": 1.0, "LT": 0.75, "UV": 0.5, "OP": 0.3, "LF": 0.25, "VF": 0.0 },
       "all_unverified_credibility": 0.75,
       "all_unverified_behavior": "fixed"   // fixed | calculate_per_type
     }

     Modifica claims/executor.ts:
     - Citeste status_weights din scoringConfig (linia 681)
     - Citeste all_unverified din scoringConfig (linia 670-676)

2.4  Adauga source-assessment scoring_config (NOU) in PG:
     {
       "axis_weights": { "publication": 0.35, "domain": 0.25, "author": 0.25, "platform": 0.15 },
       "verdict_thresholds": { "TRUSTED": 70, "NEUTRAL": 50, "SUSPICIOUS": 30 },
       "domain_unavailable_default": 50
     }

     Modifica source-assessment/executor.ts:
     - Citeste axis_weights din Redis (liniile 110-113)
     - Citeste verdict_thresholds din Redis (liniile 296-299)

2.5  Extinde pipeline component_config in PG cu:
     {
       "video_track_weights": { "text": 0.40, "visual": 0.60 },
       "video_min_text_chars": 200
     }

     Modifica component-worker.ts:
     - Citeste video_track_weights din Redis
     - Citeste video_min_text_chars din Redis

2.6  POST /api/sync-redis → toate valorile noi apar in Redis
2.7  Testeaza: ruleaza aceeasi analiza, scoruri identice (valorile sunt identice)

FAZA 3: Fix divergente + aliniere defaults

Scop: Rezolva cele 4 divergente (D1-D4). Defaults in cod = identice cu Redis. Impact: Mic — doar aliniaza valorile.

3.1  D2 (intensity formula): Actualizeaza Redis scoring_config cu formula noua:
     "intensity_bonus_type": "sqrt",
     "intensity_bonus_cap": 0.15,
     "intensity_bonus_coefficient": 0.05
     (sterge string-ul vechi "formula": "(avg_intensity - 1) * 0.05")

3.2  D3 (override false_claims): Decide valori canonice:
     Propunere: per_claim=15, max=40, threshold=1 (valorile din cod, nu din Redis)
     → Actualizeaza Redis verdict_config.overrides.false_claims
     → Actualizeaza DEFAULT_VERDICT_CONFIG in verdict-calculator.ts sa fie identic

3.3  D4 (disclosure): disclosure_impact RAMINE in Redis (codul deja citeste de acolo)
     Override undisclosed_ai RAMINE in verdict_config
     Nu e divergenta — sunt mecanisme complementare

3.4  Actualizeaza TOATE DEFAULT_* in verdict-calculator.ts sa fie identice cu Redis:
     - DEFAULT_VERDICTS ← sync cu PG verdict_category
     - DEFAULT_WEIGHTS ← sync cu PG component_weight
     - DEFAULT_VERDICT_CONFIG ← sync cu Redis verdict_config

FAZA 4: Tabele PG noi + migratie

Scop: Adauga structuri PG noi pentru input profiles si claims weights.

4.1  Migration SQL:

     -- Input type profiles
     CREATE TABLE bos_parammgmt.input_type_profile (
       profile_id SERIAL PRIMARY KEY,
       profile_code VARCHAR(30) UNIQUE NOT NULL,
       profile_name VARCHAR(100) NOT NULL,
       description TEXT,
       weight_techniques INTEGER NOT NULL DEFAULT 25,
       weight_claims INTEGER NOT NULL DEFAULT 25,
       weight_ai_tampered INTEGER NOT NULL DEFAULT 25,
       weight_source INTEGER NOT NULL DEFAULT 25,
       role_techniques VARCHAR(20) DEFAULT 'secondary',
       role_claims VARCHAR(20) DEFAULT 'secondary',
       role_ai_tampered VARCHAR(20) DEFAULT 'secondary',
       role_source VARCHAR(20) DEFAULT 'secondary',
       min_components INTEGER DEFAULT 2,
       primary_components TEXT[] DEFAULT '{}',
       required_any TEXT[] DEFAULT '{}',
       missing_techniques VARCHAR(30) DEFAULT 'redistribute',
       missing_claims VARCHAR(30) DEFAULT 'redistribute',
       missing_ai_tampered VARCHAR(30) DEFAULT 'redistribute',
       missing_source VARCHAR(30) DEFAULT 'redistribute',
       confidence_config JSONB DEFAULT '{}',
       ai_disclosure_multipliers JSONB DEFAULT '{"explicit":0.15,"partial":0.4,"implied":0.6,"none":1.0}',
       is_active BOOLEAN DEFAULT true,
       parameter_id INTEGER REFERENCES bos_parammgmt.parameter(parameter_id)
     );

     -- Override rules per profile
     CREATE TABLE bos_parammgmt.profile_override_config (
       override_id SERIAL PRIMARY KEY,
       profile_code VARCHAR(30) REFERENCES bos_parammgmt.input_type_profile(profile_code),
       override_code VARCHAR(40) NOT NULL,
       enabled BOOLEAN DEFAULT true,
       threshold INTEGER,
       bonus_per_unit INTEGER,
       bonus_fixed INTEGER,
       max_bonus INTEGER,
       description TEXT,
       UNIQUE(profile_code, override_code)
     );

     -- Override cap per profile (in input_type_profile)
     ALTER TABLE bos_parammgmt.input_type_profile ADD COLUMN override_cap INTEGER DEFAULT 50;

     -- Unverified weight per claim type
     ALTER TABLE bos_parammgmt.claim_type ADD COLUMN unverified_weight NUMERIC(3,2) DEFAULT 0.50;

     -- Credibility weight per claim status
     ALTER TABLE bos_parammgmt.claim ADD COLUMN credibility_weight NUMERIC(3,2) DEFAULT 0.50;

4.2  Seed data — 6 profiluri:

     INSERT INTO input_type_profile (profile_code, profile_name, weight_techniques, weight_claims, weight_ai_tampered, weight_source, role_techniques, role_claims, role_ai_tampered, role_source, primary_components, required_any, min_components) VALUES
     ('text_no_url', 'Text simplu', 35, 35, 15, 15, 'primary', 'primary', 'secondary', 'secondary', '{techniques,claims}', '{techniques,claims}', 2),
     ('text_with_url', 'Text cu URL', 25, 25, 15, 35, 'secondary', 'secondary', 'secondary', 'primary', '{source}', '{techniques,claims,source}', 2),
     ('image', 'Imagine', 20, 15, 50, 15, 'secondary', 'secondary', 'primary', 'secondary', '{ai_tampered}', '{ai_tampered}', 1),
     ('audio', 'Audio', 35, 30, 20, 15, 'primary', 'secondary', 'secondary', 'secondary', '{techniques}', '{techniques}', 1),
     ('video', 'Video', 25, 20, 40, 15, 'secondary', 'secondary', 'primary', 'secondary', '{ai_tampered}', '{ai_tampered}', 1),
     ('url', 'URL articol', 25, 25, 15, 35, 'secondary', 'secondary', 'secondary', 'primary', '{source}', '{techniques,claims,source}', 2);

4.3  Seed data — 48 override rules (8 × 6 profiluri):
     (vezi VERDICT_UI_SPEC.md Tab 2 pentru valorile per profil)

4.4  Seed data — claim_type unverified_weight:
     UPDATE claim_type SET unverified_weight = 0.25 WHERE claim_code IN ('VF', 'SC');
     UPDATE claim_type SET unverified_weight = 0.30 WHERE claim_code = 'QA';
     UPDATE claim_type SET unverified_weight = 0.35 WHERE claim_code = 'EF';
     UPDATE claim_type SET unverified_weight = 0.40 WHERE claim_code IN ('CC', 'RE');
     -- PC, OP, VC raman 0.50 (default)

4.5  Seed data — claim status credibility_weight:
     UPDATE claim SET credibility_weight = 1.00 WHERE claim_code = 'VT';
     UPDATE claim SET credibility_weight = 0.75 WHERE claim_code = 'LT';
     UPDATE claim SET credibility_weight = 0.50 WHERE claim_code = 'UV';
     UPDATE claim SET credibility_weight = 0.30 WHERE claim_code = 'OP';
     UPDATE claim SET credibility_weight = 0.25 WHERE claim_code = 'LF';
     UPDATE claim SET credibility_weight = 0.00 WHERE claim_code = 'VF';
     -- NV exclus din calcul (ramane NULL sau 0)

FAZA 5: CRUD didiFramework (backend endpoints)

Scop: API-uri CRUD pentru noile tabele + extindere sync-redis.

5.1  Fisier nou: routes/input-profiles.ts
     GET    /api/input-profiles                  → lista toate profilurile
     GET    /api/input-profiles/:code            → un profil cu override-uri
     PUT    /api/input-profiles/:code            → update profil (ponderi, reguli)
     GET    /api/input-profiles/:code/overrides  → override-uri per profil
     PUT    /api/input-profiles/:code/overrides  → update override-uri

     Nota: NU avem POST/DELETE — cele 6 profiluri sunt fixe, nu se adauga/sterg.

5.2  Fisier nou: routes/scoring-configs.ts (sau extinde providers.ts)
     GET    /api/scoring-configs                     → lista toate scoring_config per component
     GET    /api/scoring-configs/:component           → scoring_config pentru o componenta
     PUT    /api/scoring-configs/:component           → update scoring_config
     GET    /api/scoring-configs/disclosure-multipliers → multiplicatori disclosure
     PUT    /api/scoring-configs/disclosure-multipliers → update multiplicatori

     Nota: Astea sunt wrapper-e peste component_config CRUD existent.

5.3  Extinde routes/claims.ts (deja exista):
     - GET /api/claims/types → include unverified_weight in raspuns
     - PUT /api/claims/types/:id → accepta unverified_weight
     - GET /api/claims/status → include credibility_weight in raspuns
     - PUT /api/claims/status/:id → accepta credibility_weight

5.4  Extinde routes/sync-redis.ts:
     - fetchInputProfiles() → citeste din input_type_profile + profile_override_config
     - Scrie la didi:config:pipeline:v1:input_profiles
     - fetchClaimsExtended() → include unverified_weight si credibility_weight
     - Include in didi:framework:claims sync

5.5  Extinde routes/sync-redis.ts:
     - fetchScoringConfigs() → citeste din component_config pentru source-assessment
     - Scrie la didi:config:source-assessment:v1:scoring_config (NOU)

FAZA 6: Agent-v3 — verdict-calculator citeste profiles

Scop: verdict-calculator foloseste input profiles din Redis.

6.1  VerdictCalculator.loadFramework() extins:
     - Citeste didi:config:pipeline:v1:input_profiles din Redis
     - Fallback la DEFAULT_PROFILES (identice cu seed data din Faza 4)

6.2  VerdictCalculator.calculate() primeste input_type:
     - Selecteaza profil pe baza input_type + has_url
     - Foloseste ponderi din profil (nu din didi:framework:weights global)
     - Aplica override-uri din profil (nu DEFAULT_VERDICT_CONFIG global)
     - Aplica INCONCLUSIVE rules din profil

6.3  Component weights globale (didi:framework:weights.components) devin FALLBACK:
     - Daca input_profiles nu exista in Redis → foloseste weights globale (backward compat)
     - Daca input_profiles exista → ignora weights globale

6.4  Source Assessment override-uri:
     - applyOverrides() primeste source_assessment in loc de domain
     - Citeste verdict, is_blacklisted, red_flags din source_assessment

6.5  Claims scoring:
     - claims/executor.ts citeste status_weights din Redis (in loc de hardcodat)
     - claims/executor.ts citeste unverified_weight per tip din Redis (via claims framework data)

FAZA 7: Admin Dashboard — UI verdict config

Scop: Interfata pentru editarea tuturor parametrilor.

7.1  Pagina noua: /admin/verdict-config
     - Sau sub-pagina in LLM Components Config (depinde de layout)

7.2  Tab 1: Input Profiles (vezi VERDICT_UI_SPEC.md)
     - Consuma: GET /api/input-profiles
     - Editeaza: PUT /api/input-profiles/:code
     - Slidere ponderi cu validare total=100

7.3  Tab 2: Override Rules (vezi VERDICT_UI_SPEC.md)
     - Consuma: GET /api/input-profiles/:code/overrides
     - Editeaza: PUT /api/input-profiles/:code/overrides

7.4  Tab 3: AI Disclosure
     - Consuma: GET /api/scoring-configs/disclosure-multipliers
     - Editeaza: PUT /api/scoring-configs/disclosure-multipliers

7.5  Tab 4: Claims Weights
     - Consuma: GET /api/claims/types (cu unverified_weight) + GET /api/claims/status (cu credibility_weight)
     - Editeaza: PUT existente

7.6  Tab 5-6: Verdict Categories + Risk/Severity
     - Muta componentele existente din FrameworkDashboard (sau link catre)

7.7  Tab 7: Confidence Config
     - Consuma: din input profile confidence_config JSONB
     - Editeaza: ca parte din PUT /api/input-profiles/:code

7.8  Tab 8: Topic Multipliers — link/embed din FrameworkDashboard

7.9  Tab 9: LLM Reviewer
     - Consuma: GET /api/scoring-configs/pipeline (verdict_config JSONB)
     - Editeaza: PUT /api/scoring-configs/pipeline

7.10 Tab 10: Score Simulator
     - Frontend JS pur — incarca configuratia din /api/input-profiles + /api/verdicts/all
     - Calculeaza local, zero API calls per calcul
     - Optiune "Compare with production" → POST la agent-v3 cu scoruri mock

FAZA 8: Cleanup + Documentare

8.1  Elimina context (10%) din component_weight PG + formula
8.2  Elimina domain legacy din verdict-calculator (inlocuit de source_assessment)
8.3  Actualizeaza DEFAULT_* constants sa fie identice cu PG seed data
8.4  Actualizeaza INDEX.md agent-v3 cu noul flow
8.5  Actualizeaza VERDICT_BUSINESS_ANALYSIS.md ca "implementat"

3. VERIFICARE FINALA — DUPA TOATE FAZELE

Fiecare parametru → exact un loc in PG, exact o cheie Redis, exact un UI element

#	Parametru	PG	Redis	UI	Cod
1	Ponderi per input type	`input_type_profile.weight_*`	`input_profiles[code].weights`	Tab 1 slidere	citeste Redis, fallback defaults
2	INCONCLUSIVE rules	`input_type_profile.primary_components` etc	`input_profiles[code].inconclusive`	Tab 1 checkboxes	citeste Redis
3	Missing component handling	`input_type_profile.missing_*`	`input_profiles[code].missing`	Tab 1 dropdowns	citeste Redis
4	Override per profil	`profile_override_config`	`input_profiles[code].overrides`	Tab 2 toggles + inputs	citeste Redis
5	Override cap	`input_type_profile.override_cap`	`input_profiles[code].override_cap`	Tab 2 input	citeste Redis
6	Disclosure multipliers	`input_type_profile.ai_disclosure_multipliers`	`input_profiles[code].disclosure`	Tab 3 slidere	citeste Redis
7	Claims UV weight per tip	`claim_type.unverified_weight`	`didi:framework:claims.types[].unverified_weight`	Tab 4 inputs	citeste Redis
8	Claims status credibility weight	`claim.credibility_weight`	`didi:framework:claims.status[].credibility_weight`	Tab 4 inputs	citeste Redis
9	Verdict categories	`verdict_category`	`didi:framework:verdicts.categories`	Tab 5 table	citeste Redis
10	Risk mappings	`risk_mapping`	`didi:framework:verdicts.risk_mappings`	Tab 6 table	citeste Redis
11	Severity	`severity_assessment`	`didi:framework:verdicts.severity`	Tab 6 table	citeste Redis
12	Confidence config	`input_type_profile.confidence_config`	`input_profiles[code].confidence`	Tab 7 inputs	citeste Redis
13	Topic multipliers	`multiplier`	`didi:framework:weights.multipliers`	Tab 8 table	citeste Redis
14	LLM max adjustment	`component_config(pipeline, verdict_config)`	`verdict_config.llm_review.max_adjustment`	Tab 9 input	citeste Redis
15	LLM models + prompts	`component_stage_assignment + component_prompt`	`didi:config:verdict:*`	Tab 9 selects	citeste Redis
16	Techniques scoring params	`component_config(techniques, scoring_config)`	`didi:config:techniques:v3:scoring_config`	Tab 9 sau sectiune dedicata	citeste Redis
17	AI scoring params	`component_config(ai-tampered, scoring_config)`	`didi:config:ai-tampered:v1:scoring_config`	Tab 9 sau sectiune dedicata	citeste Redis
18	Claims scoring params	`component_config(claims, scoring_config)`	`didi:config:claims:v1:scoring_config`	Tab 9 sau sectiune dedicata	citeste Redis
19	Source scoring params	`component_config(source-assessment, scoring_config)`	`didi:config:source-assessment:v1:scoring_config`	Tab 9 sau sectiune dedicata	citeste Redis
20	Video track weights	`component_config(pipeline, component_config)`	`didi:config:pipeline:v1:component_config`	Tab 1 sub-sectiune sau Tab 9	citeste Redis

20 parametri × 3 locuri (PG + Redis + UI) = complet aliniat. Zero hardcodari in cod.

4. EFORT ESTIMAT PER FAZA

Faza	Ce	Fisiere afectate	Complexitate
0	Backup + inventar	0 (doar comenzi)	Mica
1	Redis → PG (22 INSERT-uri)	1 SQL migration	Mica
2	Cod → Redis+PG (citire din Redis)	5 executori + 1 worker	Medie
3	Fix divergente	2 fisiere (verdict-calculator + Redis data)	Mica
4	Tabele PG noi + seed	1 SQL migration	Medie
5	CRUD didiFramework	2 fisiere noi + 2 extinse + sync-redis	Medie-mare
6	Agent-v3 verdict-calculator	1 fisier (verdict-calculator.ts) + 1 (executor.ts pipeline)	Medie
7	Admin Dashboard UI	1 pagina noua cu 10 tab-uri	Mare
8	Cleanup + docs	3-4 fisiere	Mica

Dependente:

Faza 1 → independent
Faza 2 → dupa Faza 1
Faza 3 → dupa Faza 2
Faza 4 → independent (poate in paralel cu 2-3)
Faza 5 → dupa Faza 4
Faza 6 → dupa Faza 5 (sau 3)
Faza 7 → dupa Faza 5
Faza 8 → dupa toate

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