Livrare Lot 3 (Frontend): aplicație web, aplicație mobilă Android, extensie browser

- Surse complete web (React/Vite) + mobil (React Native/Expo) + extensie (MV3)
- Documentație de livrare: ghid utilizare, matrice trasabilitate cerințe, raport testare furnizor
- Artefacte binare: imagine Docker didi-frontend:lot3-1.0, APK, extensie v3.2.6 + SHA256SUMS
- Configurare adresă platformă externalizată (build args / .env / config.js)

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
This commit is contained in:
Top Clossers 2026-07-17 12:33:59 +03:00
commit cec967f953
321 changed files with 80506 additions and 0 deletions

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import React, { useState, useEffect, useCallback } from 'react';
import styled from '@emotion/styled';
import { useTranslation } from 'react-i18next';
import { spacing } from '../../theme';
import { localized } from '../../utils/i18n-fields';
import type { TechniqueDefinition } from '../../services/technique-definitions.service';
const CYCLE_MS = 7000;
const FADE_MS = 400;
interface Props {
definitions: TechniqueDefinition[];
}
const formatName = (name: string) => {
const part = name.includes('.') ? name.split('.').pop()! : name;
return part.replace(/_/g, ' ').replace(/\b\w/g, c => c.toUpperCase());
};
export const DidYouKnowCard: React.FC<Props> = ({ definitions }) => {
const { t } = useTranslation();
const [index, setIndex] = useState(() => Math.floor(Math.random() * definitions.length));
const [fading, setFading] = useState(false);
const cycle = useCallback(() => {
setFading(true);
setTimeout(() => {
setIndex(prev => {
let next;
do { next = Math.floor(Math.random() * definitions.length); } while (next === prev && definitions.length > 1);
return next;
});
setFading(false);
}, FADE_MS);
}, [definitions.length]);
useEffect(() => {
const timer = setInterval(cycle, CYCLE_MS);
return () => clearInterval(timer);
}, [cycle]);
if (!definitions.length) return null;
const def = definitions[index];
if (!def) return null;
return (
<Card>
<Label>{t('pipeline.didYouKnow')}</Label>
<Content fading={fading}>
<TechName>{formatName(localized(def, 'technique_name'))}</TechName>
<Desc>{localized(def, 'description')}</Desc>
<Meta>{localized(def, 'dimension_name')} {localized(def, 'subdimension_name', 'subdimension')}</Meta>
</Content>
</Card>
);
};
const Card = styled.div`
padding: 16px 20px; margin-bottom: ${spacing.md}px;
background: var(--accent-subtle);
border: 1px solid var(--accent-border);
border-radius: 10px;
border-left: 3px solid var(--accent);
`;
const Label = styled.div`
font-size: 11px; font-weight: 600; text-transform: uppercase; letter-spacing: 0.5px;
color: var(--accent-text); margin-bottom: 10px;
`;
const Content = styled.div<{ fading: boolean }>`
opacity: ${p => p.fading ? 0 : 1};
transition: opacity ${FADE_MS}ms ease;
`;
const TechName = styled.div`
font-size: 14px; font-weight: 600; color: var(--fg-primary); margin-bottom: 8px;
`;
const Desc = styled.div`
font-size: 13px; line-height: 1.5; color: var(--fg-secondary);
`;
const Meta = styled.div`
font-size: 11px; color: var(--fg-subtle); margin-top: 8px;
`;

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import React, { useEffect, useRef, useState } from 'react';
import { useTranslation } from 'react-i18next';
import { useAsyncAnalysis } from '../../hooks/useAsyncAnalysis';
import { validateFile } from '../../utils/file-validation';
import { TechniqueDefinitionsService, type TechniqueDefinition } from '../../services/technique-definitions.service';
import type { AnalysisSession, VerdictResult } from '../../types/analysis-session';
import type { InputType, ComponentStatus } from './types';
import { COMPONENT_ORDER } from './utils';
import {
Container, Header, Title, Subtitle,
ErrorBox, ErrorIcon,
SkipBox, SkipText, SkipAction,
WarningBox,
} from './styles';
import { InputForm } from './sections/InputForm';
import { InputPreview } from './sections/InputPreview';
import { LoadingState } from './sections/LoadingState';
import { Verdict } from './sections/Verdict';
import { DownloadPdfButton } from '../Reports/DownloadPdfButton';
import { ShareReportButton } from '../Reports/ShareReportButton';
// Re-exports — preserve backward-compat for ../pages/History which imports
// the detail renderers from this file path.
export { renderTechniquesDetail } from './details/techniques';
export { renderAiDetail } from './details/ai';
export { renderClaimsDetail } from './details/claims';
export { renderDomainDetail } from './details/domain';
export { renderSourceDetail } from './details/source';
export const PipelineAnalysis: React.FC = () => {
const { t } = useTranslation();
const async = useAsyncAnalysis('pipeline');
const [inputType, setInputType] = useState<InputType>('text');
const [inputText, setInputText] = useState('');
const [inputUrl, setInputUrl] = useState('');
const [selectedFile, setSelectedFile] = useState<File | null>(null);
const [fileError, setFileError] = useState<string | null>(null);
const [components, setComponents] = useState<Record<string, ComponentStatus>>({});
const [verdict, setVerdict] = useState<VerdictResult | null>(null);
const [fullResult, setFullResult] = useState<Record<string, any> | null>(null);
const [analysisSession, setAnalysisSession] = useState<AnalysisSession | null>(null);
const [totalDuration, setTotalDuration] = useState<number | null>(null);
const [expandedComponents, setExpandedComponents] = useState<Set<string>>(new Set());
const [techniqueDefinitions, setTechniqueDefinitions] = useState<TechniqueDefinition[]>([]);
const [startedAt, setStartedAt] = useState<number | null>(null);
// Snapshot of what was actually submitted (separate from current textarea).
const [analyzedInput, setAnalyzedInput] = useState<{ type: InputType; text: string } | null>(null);
const fileInputRef = useRef<HTMLInputElement>(null);
// Load technique definitions once (cached in service)
useEffect(() => {
TechniqueDefinitionsService.getDefinitions()
.then(setTechniqueDefinitions)
.catch(err => console.warn('Failed to load technique definitions:', err));
}, []);
// Track when analysis starts so LoadingState can show elapsed time.
useEffect(() => {
if (async.isAnalyzing && !startedAt) setStartedAt(Date.now());
if (!async.isAnalyzing && startedAt && async.result) {
// keep startedAt around — totalDuration replaces it post-finish
}
}, [async.isAnalyzing, async.result, startedAt]);
// Final result arrived (AnalysisSession)
useEffect(() => {
if (!async.result) return;
const data: AnalysisSession = async.result;
setAnalysisSession(data);
if (data.verdict) setVerdict(data.verdict);
const compData: Record<string, any> = {};
if (data.techniques) compData.techniques = data.techniques;
if (data.ai_tampered) compData.ai_tampered = data.ai_tampered;
if (data.claims) compData.claims = data.claims;
if (data.domain) compData.domain = data.domain;
if (data.source_assessment) compData.source_assessment = data.source_assessment;
if (Object.keys(compData).length > 0) setFullResult(compData);
if (data.total_duration_ms) setTotalDuration(data.total_duration_ms);
if (data.components_run) {
const updated: Record<string, ComponentStatus> = {};
for (const comp of data.components_run) {
const key = comp === 'domain' && data.source_assessment ? 'source_assessment' : comp;
updated[key] = { status: 'completed' };
}
for (const comp of data.components_skipped || []) {
const key = comp === 'domain' && data.source_assessment ? 'source_assessment' : comp;
updated[key] = { status: 'skipped' };
}
setComponents(updated);
}
}, [async.result]);
// Progressive results from polling — update component statuses + partial results
useEffect(() => {
if (!async.session) return;
const session: AnalysisSession = async.session;
setComponents(prev => {
const updated: Record<string, ComponentStatus> = { ...prev };
const mapComp = (c: string) => c === 'domain' && session.source_assessment ? 'source_assessment' : c;
for (const comp of session.components_run || []) {
const key = mapComp(comp);
updated[key] = { ...(updated[key] || {}), status: 'completed' };
}
// Mark next-in-line components as running
if (session.status === 'running' && session._queue) {
const total = session._queue.total_components;
const done = (session.components_run || []).length;
const remaining = total - done;
let runningCount = 0;
const mappedRun = (session.components_run || []).map(mapComp);
for (const comp of COMPONENT_ORDER) {
if (mappedRun.includes(comp)) continue;
if (runningCount >= remaining) break;
if (!updated[comp] || updated[comp].status !== 'completed') {
updated[comp] = { ...(updated[comp] || {}), status: 'running' };
}
runningCount++;
}
}
return updated;
});
const compData: Record<string, any> = {};
if (session.techniques) compData.techniques = session.techniques;
if (session.ai_tampered) compData.ai_tampered = session.ai_tampered;
if (session.claims) compData.claims = session.claims;
if (session.domain) compData.domain = session.domain;
if (session.source_assessment) compData.source_assessment = session.source_assessment;
if (Object.keys(compData).length > 0) {
setFullResult(prev => ({ ...prev, ...compData }));
}
}, [async.session]);
const resetResults = () => {
setComponents({});
setVerdict(null);
setFullResult(null);
setAnalysisSession(null);
setTotalDuration(null);
setExpandedComponents(new Set());
setStartedAt(null);
setAnalyzedInput(null);
async.reset();
};
const handleTypeChange = (type: InputType) => {
setInputType(type);
setSelectedFile(null);
setInputUrl('');
resetResults();
if (fileInputRef.current) fileInputRef.current.value = '';
};
const handleFileSelect = (e: React.ChangeEvent<HTMLInputElement>) => {
const file = e.target.files?.[0];
if (!file) return;
const validation = validateFile(file, inputType);
if (!validation.valid) {
setFileError(validation.error);
if (fileInputRef.current) fileInputRef.current.value = '';
return;
}
setFileError(null);
setSelectedFile(file);
};
const handleRemoveFile = () => {
setSelectedFile(null);
setFileError(null);
if (fileInputRef.current) fileInputRef.current.value = '';
};
const handleAnalyze = () => {
resetResults();
setStartedAt(Date.now());
if (inputType === 'text') {
const txt = inputText.trim();
setAnalyzedInput({ type: inputType, text: txt });
async.submitText(txt);
} else if (inputType === 'url') {
const url = inputUrl.trim();
setAnalyzedInput({ type: inputType, text: url });
async.submitUrl(url);
} else if (selectedFile) {
setAnalyzedInput({ type: inputType, text: selectedFile.name });
async.submitMedia(selectedFile, inputType);
}
};
const toggleComponent = (name: string) => {
setExpandedComponents(prev => {
const next = new Set(prev);
if (next.has(name)) next.delete(name);
else next.add(name);
return next;
});
};
const isRunning = async.isAnalyzing;
const error = async.error;
const progress = async.progress;
const { skipped, skipMessage, warnings, statusText } = async;
return (
<Container>
<Header>
<Title>{t('pipeline.title')}</Title>
<Subtitle>{t('pipeline.subtitle')}</Subtitle>
</Header>
<InputForm
inputType={inputType}
onTypeChange={handleTypeChange}
inputText={inputText}
onTextChange={setInputText}
inputUrl={inputUrl}
onUrlChange={setInputUrl}
selectedFile={selectedFile}
fileError={fileError}
fileInputRef={fileInputRef}
onFileSelect={handleFileSelect}
onRemoveFile={handleRemoveFile}
isRunning={isRunning}
statusMsg={statusText}
onAnalyze={handleAnalyze}
/>
{error && <ErrorBox><ErrorIcon>!</ErrorIcon>{error}</ErrorBox>}
{skipped && skipMessage && (
<SkipBox>
<SkipText>{skipMessage}</SkipText>
<SkipAction onClick={() => { async.reset(); handleTypeChange('image'); }}>
{t('common.uploadManual')}
</SkipAction>
</SkipBox>
)}
{warnings.length > 0 && (
<WarningBox>
{warnings.map((w, i) => <div key={i}>{w}</div>)}
</WarningBox>
)}
{(isRunning || progress > 0) && !verdict && (
<LoadingState
progress={progress}
components={components}
fullResult={fullResult}
startedAt={startedAt}
statusMsg={statusText}
/>
)}
{verdict && analyzedInput && (
<InputPreview inputType={analyzedInput.type} text={analyzedInput.text} />
)}
{verdict && analysisSession && (
<div style={{ display: 'flex', justifyContent: 'flex-end', gap: 8, marginBottom: 12 }}>
{analysisSession.session_id && (
<ShareReportButton sessionId={analysisSession.session_id} />
)}
<DownloadPdfButton session={analysisSession} techDefs={techniqueDefinitions} />
</div>
)}
{verdict && (
<Verdict
verdict={verdict}
totalDuration={totalDuration}
components={components}
fullResult={fullResult}
techniqueDefinitions={techniqueDefinitions}
/>
)}
</Container>
);
};

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import React from 'react';
import { Cpu, BarChart2 } from 'lucide-react';
import type { FindingAccent } from '../sections/FindingCard';
import { FindingCard } from '../sections/FindingCard';
import { SectionDivider } from '../sections/SectionDivider';
import { enumLabel } from '../../../utils/i18n-enums';
function aiAccent(prob: number): FindingAccent {
if (prob >= 80) return 'critical';
if (prob >= 60) return 'warning';
if (prob >= 40) return 'info';
return 'success';
}
/** Editorial renderer used inside Verdict (Tier 4 expanded). */
export function renderAiEditorial(data: any, isRo: boolean) {
if (!data) return null;
const prob = typeof data.ai_probability === 'number' ? data.ai_probability : (parseFloat(data.ai_probability) || 0);
const verdict = typeof data.verdict === 'string' ? data.verdict : 'UNKNOWN';
const verdictText = enumLabel(verdict).replace(/_/g, ' ');
const indicators = data.indicators_detected || [];
const imgIndicators = data.image_analysis?.indicators || [];
// Headline crafted: short + descriptive
const headline = isRo
? (prob >= 60
? `Probabilitate ridicată de generare AI — ${prob.toFixed(0)}%`
: prob >= 40
? `Probabilitate moderată de generare AI — ${prob.toFixed(0)}%`
: `Probabilitate scăzută de generare AI — ${prob.toFixed(0)}%`)
: (prob >= 60
? `High likelihood of AI generation — ${prob.toFixed(0)}%`
: prob >= 40
? `Moderate likelihood of AI generation — ${prob.toFixed(0)}%`
: `Low likelihood of AI generation — ${prob.toFixed(0)}%`);
const eyebrowParts = [
`${isRo ? 'Verdict' : 'Verdict'} · ${verdictText}`,
data.disclosure_detected === true
? (isRo ? 'cu declarație AI' : 'AI disclosure found')
: data.disclosure_detected === false
? (isRo ? 'fără declarație AI' : 'no AI disclosure')
: null,
data.coupling_context?.for_verdict?.confidence_level
? `${isRo ? 'încredere' : 'confidence'} ${enumLabel(data.coupling_context.for_verdict.confidence_level).toLowerCase()}`
: null,
].filter(Boolean);
// Quote: pick a representative indicator if any
let quote: React.ReactNode | undefined;
if (indicators.length > 0 && indicators[0].evidence) {
quote = indicators[0].evidence;
} else if (imgIndicators.length > 0) {
quote = imgIndicators.slice(0, 3).join(' · ');
}
const source = (
<>
<BarChart2 size={13} strokeWidth={2} />
<span>{prob.toFixed(0)}% {isRo ? 'probabilitate' : 'probability'}</span>
{indicators.length > 0 && (
<>
<span className="sep">·</span>
<span>{indicators.length} {isRo ? 'indicatori' : 'indicators'}</span>
</>
)}
</>
);
return (
<>
<SectionDivider label={isRo ? 'Detectare AI' : 'AI detection'} />
<FindingCard
icon={Cpu}
accent={aiAccent(prob)}
eyebrow={eyebrowParts.join(' · ')}
headline={headline}
quote={quote}
source={source}
/>
</>
);
}
/** Backward-compat. */
export function renderAiDetail(data: any, _t: any) {
const isRo = (typeof document !== 'undefined' && document.documentElement.lang || '').toLowerCase().startsWith('ro');
return <>{renderAiEditorial(data, isRo)}</>;
}
export function renderAiSummary(data: any, t: any) {
if (!data) return null;
const prob = typeof data.ai_probability === 'number' ? data.ai_probability : (parseFloat(data.ai_probability) || 0);
return (
<span style={{ fontSize: 12, color: 'var(--fg-secondary)' }}>
{prob.toFixed(0)}% AI · {t('pipeline.aiProbabilityLabel')}
</span>
);
}

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import React from 'react';
import { XCircle, CheckCircle2, HelpCircle, Plus, ChevronDown } from 'lucide-react';
import type { LucideIcon } from 'lucide-react';
import { localized } from '../../../utils/i18n-fields';
import { enumLabel } from '../../../utils/i18n-enums';
import { FindingCard, type FindingAccent } from '../sections/FindingCard';
import { SectionDivider } from '../sections/SectionDivider';
import {
CollapseBtn, CollapseBtnLeft, CollapseBtnChevron,
StancePill, FindingSourceLink,
} from '../styles';
const DEFAULT_VISIBLE = 4;
function claimIcon(status: string, statusColor?: string): LucideIcon {
if (status === 'verified_false' || statusColor === 'red') return XCircle;
if (status === 'verified_true' || statusColor === 'green') return CheckCircle2;
return HelpCircle;
}
function claimAccent(status: string, statusColor?: string): FindingAccent {
if (status === 'verified_false' || statusColor === 'red') return 'critical';
if (status === 'verified_true' || statusColor === 'green') return 'success';
return 'neutral';
}
function stanceFromString(s: string): 'contradicts' | 'supports' | 'neutral' {
const u = (s || '').toUpperCase();
if (u === 'CONTRADICTS') return 'contradicts';
if (u === 'SUPPORTS') return 'supports';
return 'neutral';
}
function sourceHostname(url: string): string {
return (url || '').replace(/^https?:\/\/(www\.)?/, '').split('/')[0];
}
export function renderClaimsEditorial(
data: any,
isRo: boolean,
expanded: boolean,
onToggle: () => void,
) {
if (!data) return null;
const claims = data.claims_verified || data.claims || [];
if (claims.length === 0) return null;
const total = data.total_claims || claims.length;
const trueCount = data.verified_true || 0;
const falseCount = data.verified_false || 0;
const unverified = data.unverified || 0;
const summaryParts = [
`${total} ${isRo ? 'total' : 'total'}`,
trueCount > 0 ? `${trueCount} ${isRo ? 'adevărate' : 'true'}` : null,
falseCount > 0 ? `${falseCount} ${isRo ? 'false' : 'false'}` : null,
unverified > 0 ? `${unverified} ${isRo ? 'neverificate' : 'unverified'}` : null,
].filter(Boolean).join(' · ');
const visible = expanded ? claims.length : Math.min(DEFAULT_VISIBLE, claims.length);
const shown = claims.slice(0, visible);
const remaining = claims.length - visible;
return (
<>
<SectionDivider
label={isRo ? 'Verificarea afirmațiilor' : 'Claim verification'}
count={summaryParts}
/>
{shown.map((claim: any, i: number) => {
const icon = claimIcon(claim.status, claim.status_color);
const accent = claimAccent(claim.status, claim.status_color);
const statusName = localized(claim, 'status_name') || enumLabel(claim.status || '');
const typeName = claim.type_name || enumLabel(claim.type || '');
const eyebrowParts = [
statusName,
typeName,
claim.priority ? `${isRo ? 'prioritate' : 'priority'} ${claim.priority}` : null,
].filter(Boolean);
const sources = (claim.sources || []).slice(0, 6);
return (
<FindingCard
key={claim.id || i}
icon={icon}
accent={accent}
eyebrow={eyebrowParts.join(' · ')}
headline={claim.text}
quote={claim.reasoning}
source={sources.length > 0 ? (
<>
{(() => {
const dominantStance = sources[0]?.stance ? stanceFromString(sources[0].stance) : 'neutral';
return (
<StancePill stance={dominantStance}>
{isRo
? (dominantStance === 'contradicts' ? 'Contrazice' : dominantStance === 'supports' ? 'Susține' : 'Neutru')
: (dominantStance === 'contradicts' ? 'Contradicts' : dominantStance === 'supports' ? 'Supports' : 'Neutral')}
</StancePill>
);
})()}
{sources.map((src: any, idx: number) => (
<React.Fragment key={idx}>
{idx > 0 && <span className="sep">·</span>}
<FindingSourceLink href={src.url} target="_blank" rel="noopener noreferrer" onClick={e => e.stopPropagation()}>
{sourceHostname(src.url)}
</FindingSourceLink>
</React.Fragment>
))}
</>
) : undefined}
/>
);
})}
{remaining > 0 && (
<CollapseBtn onClick={onToggle}>
<CollapseBtnLeft>
<Plus size={16} strokeWidth={2} />
<span>
{isRo
? `Vezi celelalte ${remaining} ${remaining === 1 ? 'afirmație' : 'afirmații'}`
: `Show ${remaining} more ${remaining === 1 ? 'claim' : 'claims'}`}
</span>
</CollapseBtnLeft>
<CollapseBtnChevron expanded={false}>
<ChevronDown size={14} strokeWidth={2.5} />
</CollapseBtnChevron>
</CollapseBtn>
)}
{expanded && claims.length > DEFAULT_VISIBLE && (
<CollapseBtn onClick={onToggle}>
<CollapseBtnLeft>
<ChevronDown size={16} strokeWidth={2} />
<span>{isRo ? 'Ascunde' : 'Hide'}</span>
</CollapseBtnLeft>
<CollapseBtnChevron expanded={true}>
<ChevronDown size={14} strokeWidth={2.5} />
</CollapseBtnChevron>
</CollapseBtn>
)}
</>
);
}
export function renderClaimsDetail(data: any, _t: any) {
const isRo = (typeof document !== 'undefined' && document.documentElement.lang || '').toLowerCase().startsWith('ro');
return <RenderClaimsStatic data={data} isRo={isRo} />;
}
const RenderClaimsStatic: React.FC<{ data: any; isRo: boolean }> = ({ data, isRo }) => {
const [expanded, setExpanded] = React.useState(false);
return <>{renderClaimsEditorial(data, isRo, expanded, () => setExpanded(o => !o))}</>;
};
export function renderClaimsSummary(data: any, t: any) {
if (!data) return null;
return (
<span style={{ fontSize: 12, color: 'var(--fg-secondary)' }}>
{data.total_claims || 0} {t('pipeline.claimsLabel')}
{data.verified_false > 0 ? ` · ${data.verified_false} ${t('pipeline.falseLabel')}` : ''}
</span>
);
}

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import React from 'react';
import { Globe } from 'lucide-react';
import { enumLabel } from '../../../utils/i18n-enums';
import type { FindingAccent } from '../sections/FindingCard';
import { FindingCard } from '../sections/FindingCard';
function domainAccent(trust: number): FindingAccent {
if (trust >= 70) return 'success';
if (trust >= 40) return 'warning';
return 'critical';
}
export function renderDomainDetail(data: any) {
if (!data) return null;
const trust = data.trust_score ?? 0;
const verdictText = enumLabel(data.verdict || '') || 'Unknown';
const isRo = (typeof document !== 'undefined' && document.documentElement.lang || '').toLowerCase().startsWith('ro');
return (
<FindingCard
icon={Globe}
accent={domainAccent(trust)}
eyebrow={isRo ? `Domeniu · trust ${trust}` : `Domain · trust ${trust}`}
headline={typeof data.domain === 'string' ? data.domain : data.domain?.name || (isRo ? 'Necunoscut' : 'Unknown')}
quote={data.category}
source={
<span>{verdictText}</span>
}
/>
);
}
export function renderDomainSummary(data: any) {
if (!data) return null;
const trust = parseFloat(data.trust_score);
const validTrust = !isNaN(trust) && trust >= 0;
return (
<span style={{ fontSize: 12, color: 'var(--fg-secondary)' }}>
{data.domain && typeof data.domain === 'string' ? `${data.domain} · ` : ''}
{validTrust ? `Trust ${trust}%` : 'Trust N/A'}
</span>
);
}

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import React from 'react';
import { ShieldAlert, AlertTriangle } from 'lucide-react';
import { enumLabel } from '../../../utils/i18n-enums';
import type { FindingAccent } from '../sections/FindingCard';
import {
FindingCardBox, FindingIconBox, FindingBody,
FindingEyebrow, FindingHeadline, FindingSourceRow,
ScoresBlock, ScoreLine, ScoreLineName, ScoreLineBar, ScoreLineFill, ScoreLineNum,
} from '../styles';
import { SectionDivider } from '../sections/SectionDivider';
const ACCENT_HEX: Record<FindingAccent, string> = {
critical: '#ef4444',
warning: '#f97316',
info: '#3b82f6',
success: '#22c55e',
neutral: '#94a3b8',
violet: '#7fd0d4',
};
function trustAccent(trust: number): FindingAccent {
if (trust >= 70) return 'success';
if (trust >= 40) return 'warning';
return 'critical';
}
function barColor(score: number): string {
return score >= 70 ? '#22c55e' : score >= 40 ? '#f97316' : '#ef4444';
}
export function renderSourceEditorial(data: any, isRo: boolean) {
if (!data) return null;
const trust = data.trust_score ?? 0;
const accent = trustAccent(trust);
const accentHex = ACCENT_HEX[accent];
const verdictLabel = enumLabel(data.verdict || '').replace(/_/g, ' ');
const riskLevel = enumLabel(data.risk_level || '');
const pub = data.publication || {};
const auth = data.author || {};
const plat = data.platform || {};
const dom = data.domain || {};
const formula = data.formula || {};
void formula;
const headline = isRo
? `${verdictLabel} — încredere ${trust}/100${riskLevel ? ` · risc ${riskLevel.toLowerCase()}` : ''}`
: `${verdictLabel} — trust ${trust}/100${riskLevel ? ` · ${riskLevel.toLowerCase()} risk` : ''}`;
const axes = [
{
name: isRo ? 'Publicație' : 'Publication',
score: pub.score ?? 0,
weight: Math.round((formula.publication_weight ?? 0.35) * 100),
},
{
name: isRo ? 'Autor' : 'Author',
score: auth.score ?? 0,
weight: Math.round((formula.author_weight ?? 0.25) * 100),
},
{
name: isRo ? 'Platformă' : 'Platform',
score: plat.score ?? 0,
weight: Math.round((formula.platform_weight ?? 0.15) * 100),
},
{
name: isRo ? 'Domeniu' : 'Domain',
score: dom.score ?? 0,
weight: Math.round((formula.domain_weight ?? 0.25) * 100),
},
];
const flags: string[] = [];
if (!pub.confirmed) flags.push(isRo ? 'fără publicație confirmată' : 'no confirmed publication');
if (!auth.confirmed) flags.push(isRo ? 'fără autor identificat' : 'no identified author');
if (!dom.name || dom.name === 'N/A') flags.push(isRo ? 'fără domeniu' : 'no domain');
if (data.red_flags?.length) flags.push(...data.red_flags.map((f: string) => f.replace(/_/g, ' ').toLowerCase()));
return (
<>
<SectionDivider
label={isRo ? 'Evaluarea sursei' : 'Source assessment'}
count={`${trust} / 100 · ${verdictLabel.toLowerCase()}`}
/>
<FindingCardBox>
<FindingIconBox accent={accentHex} lg>
<ShieldAlert size={20} strokeWidth={2} />
</FindingIconBox>
<FindingBody>
<FindingEyebrow>{verdictLabel}</FindingEyebrow>
<FindingHeadline>{headline}</FindingHeadline>
<ScoresBlock style={{ marginTop: 4 }}>
{axes.map((ax, i) => (
<ScoreLine key={ax.name}>
<ScoreLineName>{ax.name}</ScoreLineName>
<ScoreLineBar>
<ScoreLineFill width={ax.score} color={barColor(ax.score)} delay={400 + i * 60} />
</ScoreLineBar>
<ScoreLineNum>{ax.score}</ScoreLineNum>
</ScoreLine>
))}
</ScoresBlock>
{flags.length > 0 && (
<FindingSourceRow>
<AlertTriangle size={13} strokeWidth={2} />
{flags.map((f, idx) => (
<React.Fragment key={idx}>
{idx > 0 && <span className="sep">·</span>}
<span>{f}</span>
</React.Fragment>
))}
</FindingSourceRow>
)}
</FindingBody>
</FindingCardBox>
</>
);
}
export function renderSourceDetail(data: any) {
const isRo = (typeof document !== 'undefined' && document.documentElement.lang || '').toLowerCase().startsWith('ro');
return <>{renderSourceEditorial(data, isRo)}</>;
}
export function renderSourceSummary(data: any) {
if (!data) return null;
const trust = data.trust_score ?? 0;
return (
<span style={{ fontSize: 12, color: 'var(--fg-secondary)' }}>
Trust {trust}% · {enumLabel(data.verdict || '').replace(/_/g, ' ')}
</span>
);
}

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import React from 'react';
import { AlertCircle, Cpu, Layers, Target, Plus, ChevronDown } from 'lucide-react';
import type { LucideIcon } from 'lucide-react';
import { TechniqueDefinitionsService, type TechniqueDefinition } from '../../../services/technique-definitions.service';
import { localized } from '../../../utils/i18n-fields';
import { formatTechName } from '../utils';
import { FindingCard, type FindingAccent } from '../sections/FindingCard';
import { SectionDivider } from '../sections/SectionDivider';
import { CollapseBtn, CollapseBtnLeft, CollapseBtnChevron } from '../styles';
const DEFAULT_VISIBLE = 5;
/** Map tech name dimension prefix → icon. */
function techIcon(name: string): LucideIcon {
if (!name) return AlertCircle;
const dim = name.split('.')[0]?.toUpperCase();
if (dim === 'D3') return Cpu;
if (dim === 'D5') return Layers;
if (dim === 'D8') return Target;
return AlertCircle;
}
function techAccent(severity: number): FindingAccent {
if (severity >= 70) return 'critical';
if (severity >= 40) return 'warning';
return 'info';
}
/** Editorial renderer used inside Verdict (Tier 4 expanded). */
export function renderTechniquesEditorial(
data: any,
definitions: TechniqueDefinition[],
isRo: boolean,
expanded: boolean,
onToggle: () => void,
) {
if (!data) return null;
const techs = data.techniques_detected || [];
if (techs.length === 0) return null;
const dims = (data.dimensions_affected || []).join(' · ');
const total = techs.length;
const visible = expanded ? total : Math.min(DEFAULT_VISIBLE, total);
const shown = techs.slice(0, visible);
const remaining = total - visible;
return (
<>
<SectionDivider
label={isRo ? 'Tehnici de manipulare' : 'Manipulation techniques'}
count={`${total} ${isRo ? 'detectate' : 'detected'}${dims ? ` · ${dims}` : ''}`}
/>
{shown.map((tech: any, i: number) => {
const def = TechniqueDefinitionsService.findByName(definitions, tech.name || '');
const dimName = localized(tech, 'dimension_name', 'dimension');
const subdimName = localized(tech, 'subdimension_name', 'subdimension');
const eyebrowParts = [
tech.name?.split('.')[0]?.toUpperCase(),
dimName ? (subdimName ? `${dimName} · ${subdimName}` : dimName) : null,
tech.severity != null ? `${isRo ? 'severitate' : 'severity'} ${tech.severity}` : null,
].filter(Boolean);
const description = def ? (localized(def, 'description') as string | undefined) : undefined;
return (
<FindingCard
key={i}
icon={techIcon(tech.name || '')}
accent={techAccent(tech.severity || 0)}
eyebrow={eyebrowParts.join(' · ')}
headline={formatTechName(localized(tech, 'technique_name', 'name'))}
info={description}
quote={tech.evidence}
/>
);
})}
{remaining > 0 && (
<CollapseBtn onClick={onToggle}>
<CollapseBtnLeft>
<Plus size={16} strokeWidth={2} />
<span>
{isRo
? `Vezi celelalte ${remaining} ${remaining === 1 ? 'tehnică' : 'tehnici'}`
: `Show ${remaining} more ${remaining === 1 ? 'technique' : 'techniques'}`}
</span>
</CollapseBtnLeft>
<CollapseBtnChevron expanded={false}>
<ChevronDown size={14} strokeWidth={2.5} />
</CollapseBtnChevron>
</CollapseBtn>
)}
{expanded && total > DEFAULT_VISIBLE && (
<CollapseBtn onClick={onToggle}>
<CollapseBtnLeft>
<ChevronDown size={16} strokeWidth={2} />
<span>{isRo ? 'Ascunde' : 'Hide'}</span>
</CollapseBtnLeft>
<CollapseBtnChevron expanded={true}>
<ChevronDown size={14} strokeWidth={2.5} />
</CollapseBtnChevron>
</CollapseBtn>
)}
</>
);
}
/** Backward-compat wrapper for History.tsx. */
export function renderTechniquesDetail(data: any, definitions: TechniqueDefinition[] = [], _t: any) {
// Pages like History stand in for `t` but we rely on document.documentElement lang
const isRo = (typeof document !== 'undefined' && document.documentElement.lang || '').toLowerCase().startsWith('ro');
// Render expanded by default in static history view (no toggle needed there)
return (
<RenderTechniquesStatic data={data} definitions={definitions} isRo={isRo} />
);
}
const RenderTechniquesStatic: React.FC<{ data: any; definitions: TechniqueDefinition[]; isRo: boolean }> = ({ data, definitions, isRo }) => {
const [expanded, setExpanded] = React.useState(false);
return <>{renderTechniquesEditorial(data, definitions, isRo, expanded, () => setExpanded(o => !o))}</>;
};
/** Summary chips used in compact lists (preserved for legacy callers). */
export function renderTechniquesSummary(data: any, t: any) {
if (!data) return null;
const count = (data.techniques_detected || []).length;
if (count === 0) return null;
const score = typeof data.manipulation_score === 'number' ? data.manipulation_score : (parseFloat(data.manipulation_score) || 0);
return (
<span style={{ fontSize: 12, color: 'var(--fg-secondary)' }}>
{count} {t('pipeline.techniqueCount')}{score > 0 ? ` · ${t('common.score')} ${score.toFixed(0)}` : ''}
</span>
);
}

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export { PipelineAnalysis } from './PipelineAnalysis';

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import React, { useState } from 'react';
import { useTranslation } from 'react-i18next';
import styled from '@emotion/styled';
import {
Cpu, ShieldCheck, ShieldAlert, AlertOctagon, AlertTriangle, AlertCircle,
FileText, Image as ImageIcon, Sparkles, ChevronDown, Plus,
} from 'lucide-react';
import type { LucideIcon } from 'lucide-react';
import { typography } from '../../../theme';
import { localized } from '../../../utils/i18n-fields';
import { enumLabel } from '../../../utils/i18n-enums';
import type { AiTamperedResult, AiIndicatorDetected } from '../../../types/analysis-session';
import { HeadlineCard } from './HeadlineCard';
import { FindingCard, type FindingAccent } from './FindingCard';
import { SectionDivider } from './SectionDivider';
import {
StatBlock, ChipsRow, Chip,
CollapseBtn, CollapseBtnLeft, CollapseBtnChevron,
} from '../styles';
const probAccent = (p: number): string =>
p >= 80 ? '#ef4444' : p >= 60 ? '#f97316' : p >= 40 ? '#eab308' : '#22c55e';
const probIcon = (p: number): LucideIcon => {
if (p >= 80) return AlertOctagon;
if (p >= 60) return AlertTriangle;
if (p >= 40) return Cpu;
return ShieldCheck;
};
const indicatorAccent = (confidence: number): FindingAccent => {
if (confidence >= 80) return 'critical';
if (confidence >= 60) return 'warning';
if (confidence >= 40) return 'info';
return 'neutral';
};
const verdictLabelKey = (verdict: string): string => {
switch (verdict) {
case 'LIKELY_AI': return 'aiTamper.verdicts.likelyAi';
case 'POSSIBLY_AI': return 'aiTamper.verdicts.possiblyAi';
case 'UNLIKELY_AI': return 'aiTamper.verdicts.unlikelyAi';
case 'LIKELY_HUMAN': return 'aiTamper.verdicts.likelyHuman';
case 'HUMAN': return 'aiTamper.verdicts.humanWritten';
default: return '';
}
};
const CATEGORY_LABEL_KEYS: Record<string, string> = {
T1: 'aiTamper.categories.writingStyle',
T2: 'aiTamper.categories.contentPatterns',
T3: 'aiTamper.categories.structuralAnalysis',
T4: 'aiTamper.categories.statisticalMarkers',
T5: 'aiTamper.categories.explicitSignals',
};
const DEFAULT_VISIBLE_INDICATORS = 5;
/** Display-friendly shape that flattens AiTamperedResult variations across modes. */
export interface AiDisplayResult {
verdict: string;
ai_probability: number;
disclosure_detected?: boolean;
disclosure_explicit?: boolean;
disclosure_text?: string | null;
/** Quick mode text indicators */
indicators_found?: string[];
/** Deep mode text + audio/video indicators */
indicators_detected?: AiIndicatorDetected[];
categories_affected?: string[];
coupling_context?: AiTamperedResult['coupling_context'];
image_indicators?: string[];
image_evidence?: string;
model_used?: string;
transcript?: string;
}
/** Build AiDisplayResult from a raw AiTamperedResult + optional input meta. */
export function toAiDisplayResult(
r: AiTamperedResult,
ctx: { inputType?: string; inputText?: string | null } = {},
): AiDisplayResult {
const out: AiDisplayResult = {
verdict: r.verdict,
ai_probability: r.ai_probability,
disclosure_detected: r.disclosure_detected,
disclosure_explicit: r.disclosure_explicit,
disclosure_text: r.disclosure_text,
};
if (r.indicators_detected && r.indicators_detected.length > 0) {
out.indicators_detected = r.indicators_detected;
out.categories_affected = r.categories_affected;
out.coupling_context = r.coupling_context;
}
if (r.image_analysis?.indicators && r.image_analysis.indicators.length > 0) {
out.image_indicators = r.image_analysis.indicators;
out.image_evidence = r.image_analysis.evidence;
out.model_used = r.image_analysis.model_used;
}
if (ctx.inputText && (ctx.inputType === 'audio' || ctx.inputType === 'video')) {
out.transcript = ctx.inputText;
}
return out;
}
interface Props {
result: AiDisplayResult;
isRo: boolean;
/** When set, a "try deep analysis" CTA is shown inside the clean-content card. Used by the live standalone where the user can re-run in deep mode. History view should omit this. */
onTryDeepScan?: () => void;
}
export const AiResults: React.FC<Props> = ({ result, isRo, onTryDeepScan }) => {
const { t } = useTranslation();
const [indicatorsExpand, setIndicatorsExpand] = useState(false);
const probability = result.ai_probability || 0;
const verdict = result.verdict || '';
const accent = probAccent(probability);
const Icon = probIcon(probability);
const verdictText = verdictLabelKey(verdict)
? t(verdictLabelKey(verdict))
: (verdict || '').replace(/_/g, ' ');
const tldr = (() => {
const indCount = result.indicators_detected?.length
|| result.indicators_found?.length
|| result.image_indicators?.length
|| 0;
const disclosureNote = result.disclosure_detected === true
? (isRo ? ' cu declarație AI' : ' with AI disclosure')
: result.disclosure_detected === false
? (isRo ? ' fără declarație AI' : ' without AI disclosure')
: '';
if (isRo) {
return `Probabilitate ${probability}% de generare AI${disclosureNote}${indCount > 0 ? ` · ${indCount} ${indCount === 1 ? 'indicator detectat' : 'indicatori detectați'}` : ''}.`;
}
return `${probability}% likelihood of AI generation${disclosureNote}${indCount > 0 ? ` · ${indCount} ${indCount === 1 ? 'indicator detected' : 'indicators detected'}` : ''}.`;
})();
const totalIndicators = result.indicators_detected?.length ?? 0;
const visibleCount = indicatorsExpand ? totalIndicators : Math.min(DEFAULT_VISIBLE_INDICATORS, totalIndicators);
const visibleIndicators = result.indicators_detected?.slice(0, visibleCount) ?? [];
const remainingIndicators = totalIndicators - visibleCount;
return (
<>
<HeadlineCard
accent={accent}
score={probability}
scoreLabel="% AI"
eyebrow={isRo ? 'Detectare AI' : 'AI detection'}
icon={Icon}
category={verdictText}
descriptor={
<>
{result.coupling_context?.for_verdict?.confidence_level && (
<>
<span>{isRo ? 'încredere' : 'confidence'} {enumLabel(result.coupling_context.for_verdict.confidence_level).toLowerCase()}</span>
{result.disclosure_detected !== undefined && <span className="sep">·</span>}
</>
)}
{result.disclosure_detected === true && (
<span>{isRo ? 'cu declarație AI' : 'AI disclosure'}</span>
)}
{result.disclosure_detected === false && (
<span>{isRo ? 'fără declarație AI' : 'no AI disclosure'}</span>
)}
</>
}
tldr={tldr}
/>
{(result.coupling_context?.for_verdict || (result.categories_affected && result.categories_affected.length > 0) || result.model_used) && (
<StatBlock>
<ChipsRow>
{result.coupling_context?.for_verdict?.undisclosed_ai && (
<Chip variant="warning">{t('aiTamper.undisclosedAi')}</Chip>
)}
{result.coupling_context?.for_verdict?.needs_manual_review && (
<Chip variant="warning">{t('aiTamper.needsManualReview')}</Chip>
)}
{result.categories_affected?.map(cat => (
<Chip key={cat} variant="violet">
{cat} · {CATEGORY_LABEL_KEYS[cat] ? t(CATEGORY_LABEL_KEYS[cat]) : cat}
</Chip>
))}
{result.model_used && (
<Chip variant="neutral">{result.model_used}</Chip>
)}
</ChipsRow>
</StatBlock>
)}
{result.disclosure_detected !== undefined && (
<FindingCard
icon={result.disclosure_detected ? ShieldCheck : ShieldAlert}
accent={result.disclosure_detected ? 'success' : 'neutral'}
eyebrow={isRo ? 'Declarație AI' : 'AI disclosure'}
headline={
result.disclosure_detected
? (result.disclosure_explicit ? t('aiTamper.explicitDisclosure') : t('aiTamper.implicitDisclosure'))
: t('aiTamper.noDisclosureDetected')
}
quote={result.disclosure_text || undefined}
/>
)}
{result.image_evidence && (
<FindingCard
icon={ImageIcon}
accent="info"
eyebrow={isRo ? 'Analiză imagine' : 'Image analysis'}
headline={t('aiTamper.analysisSummary')}
quote={result.image_evidence}
/>
)}
{result.transcript && (
<FindingCard
icon={FileText}
accent="info"
eyebrow={t('aiTamper.transcript')}
headline={isRo ? 'Conținut transcris' : 'Transcribed content'}
quote={result.transcript.length > 320
? result.transcript.slice(0, 320) + '…'
: result.transcript}
/>
)}
{result.indicators_found && result.indicators_found.length > 0 && (
<>
<SectionDivider
label={isRo ? 'Semnale detectate' : 'Signals detected'}
count={result.indicators_found.length}
/>
{result.indicators_found.map((ind, i) => (
<FindingCard
key={i}
icon={AlertCircle}
accent="info"
headline={ind}
/>
))}
</>
)}
{result.image_indicators && result.image_indicators.length > 0 && (
<>
<SectionDivider
label={t('aiTamper.imageIndicators')}
count={result.image_indicators.length}
/>
{result.image_indicators.map((ind, i) => (
<FindingCard
key={i}
icon={Sparkles}
accent="warning"
headline={ind}
/>
))}
</>
)}
{totalIndicators > 0 && (
<>
<SectionDivider
label={isRo ? 'Indicatori detectați' : 'Indicators detected'}
count={`${totalIndicators} ${isRo ? 'detectați' : 'detected'}${result.categories_affected?.length ? ` · ${result.categories_affected.join(' · ')}` : ''}`}
/>
{visibleIndicators.map(ind => {
const catLabel = CATEGORY_LABEL_KEYS[ind.category]
? t(CATEGORY_LABEL_KEYS[ind.category])
: ind.category;
const eyebrowParts = [
ind.category,
catLabel,
`${isRo ? 'încredere' : 'confidence'} ${ind.confidence}%`,
];
return (
<FindingCard
key={ind.id}
icon={AlertCircle}
accent={indicatorAccent(ind.confidence)}
eyebrow={eyebrowParts.join(' · ')}
headline={localized(ind, 'indicator_name', 'name')}
quote={ind.evidence}
/>
);
})}
{remainingIndicators > 0 && (
<CollapseBtn onClick={() => setIndicatorsExpand(true)}>
<CollapseBtnLeft>
<Plus size={16} strokeWidth={2} />
<span>
{isRo
? `Vezi celelalți ${remainingIndicators} ${remainingIndicators === 1 ? 'indicator' : 'indicatori'}`
: `Show ${remainingIndicators} more ${remainingIndicators === 1 ? 'indicator' : 'indicators'}`}
</span>
</CollapseBtnLeft>
<CollapseBtnChevron expanded={false}>
<ChevronDown size={14} strokeWidth={2.5} />
</CollapseBtnChevron>
</CollapseBtn>
)}
{indicatorsExpand && totalIndicators > DEFAULT_VISIBLE_INDICATORS && (
<CollapseBtn onClick={() => setIndicatorsExpand(false)}>
<CollapseBtnLeft>
<ChevronDown size={16} strokeWidth={2} />
<span>{isRo ? 'Ascunde' : 'Hide'}</span>
</CollapseBtnLeft>
<CollapseBtnChevron expanded={true}>
<ChevronDown size={14} strokeWidth={2.5} />
</CollapseBtnChevron>
</CollapseBtn>
)}
</>
)}
{(result.indicators_found?.length === 0
&& !result.indicators_detected
&& !result.image_indicators?.length) && (
<FindingCard
icon={ShieldCheck}
accent="success"
eyebrow={isRo ? 'Conținut curat' : 'Clean content'}
headline={t('aiTamper.noSignalsQuick')}
source={
onTryDeepScan ? (
<DeepScanHint onClick={onTryDeepScan}>
{t('aiTamper.tryDeepAnalysis')}
</DeepScanHint>
) : undefined
}
/>
)}
</>
);
};
const DeepScanHint = styled.button`
padding: 0;
border: none;
background: none;
font-family: ${typography.fontFamily.primary};
font-size: 12px;
font-weight: ${typography.fontWeight.semibold};
color: var(--accent-text);
cursor: pointer;
text-decoration: underline;
text-underline-offset: 2px;
&:hover {
color: var(--accent-hover);
}
`;

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import React, { useState } from 'react';
import {
CheckSquare, XCircle, AlertTriangle, HelpCircle, Search, Timer,
} from 'lucide-react';
import type { LucideIcon } from 'lucide-react';
import type { ClaimsResult } from '../../../types/analysis-session';
import { HeadlineCard } from './HeadlineCard';
import { renderClaimsEditorial } from '../details/claims';
import { StatBlock, ChipsRow, Chip } from '../styles';
const credAccent = (s: number): string =>
s >= 60 ? '#22c55e' : s >= 40 ? '#eab308' : s >= 20 ? '#f97316' : '#ef4444';
const credIcon = (s: number): LucideIcon => {
if (s >= 60) return CheckSquare;
if (s >= 40) return HelpCircle;
if (s >= 20) return AlertTriangle;
return XCircle;
};
const buildTldr = (r: ClaimsResult, percent: number, isRo: boolean): string => {
const total = r.total_claims || r.claims_verified.length || 0;
if (total === 0) {
return isRo
? 'Nicio afirmație verificabilă în acest conținut.'
: 'No verifiable claims found in this content.';
}
const parts: string[] = [];
if (r.verified_true > 0) parts.push(`${r.verified_true} ${isRo ? 'adevărate' : 'true'}`);
if (r.verified_false > 0) parts.push(`${r.verified_false} ${isRo ? 'false' : 'false'}`);
if (r.unverified > 0) parts.push(`${r.unverified} ${isRo ? 'neverificate' : 'unverified'}`);
if (r.opinions > 0) parts.push(`${r.opinions} ${isRo ? 'opinii' : 'opinions'}`);
return isRo
? `${total} ${total === 1 ? 'afirmație' : 'afirmații'} analizate (${parts.join(', ')}). Scor de credibilitate: ${percent}%.`
: `${total} ${total === 1 ? 'claim' : 'claims'} analyzed (${parts.join(', ')}). Credibility score: ${percent}%.`;
};
interface Props {
result: ClaimsResult;
isRo: boolean;
}
export const ClaimsResults: React.FC<Props> = ({ result, isRo }) => {
const [expanded, setExpanded] = useState(false);
const rawCred = parseFloat(String(result.credibility_score)) || 0;
const credPercent = Math.round(rawCred > 1 ? rawCred : rawCred * 100);
const accent = credAccent(credPercent);
const Icon = credIcon(credPercent);
return (
<>
<HeadlineCard
accent={accent}
score={credPercent}
scoreLabel={isRo ? '% CREDIBIL' : '% CREDIBLE'}
eyebrow={isRo ? 'Verificarea afirmațiilor' : 'Claim verification'}
icon={Icon}
category={result.interpretation || (isRo ? 'Analiză afirmații' : 'Claim analysis')}
descriptor={
<span>
{result.total_claims} {isRo
? (result.total_claims === 1 ? 'afirmație' : 'afirmații')
: (result.total_claims === 1 ? 'claim' : 'claims')}
</span>
}
tldr={buildTldr(result, credPercent, isRo)}
/>
{result.total_claims > 0 && (
<StatBlock>
<ChipsRow>
{result.verified_true > 0 && (
<Chip variant="success">
{result.verified_true} {isRo ? 'adevărate' : 'verified true'}
</Chip>
)}
{result.verified_false > 0 && (
<Chip variant="critical">
{result.verified_false} {isRo ? 'false' : 'verified false'}
</Chip>
)}
{result.unverified > 0 && (
<Chip variant="neutral">
{result.unverified} {isRo ? 'neverificate' : 'unverified'}
</Chip>
)}
{result.opinions > 0 && (
<Chip variant="info">
{result.opinions} {isRo ? 'opinii' : 'opinions'}
</Chip>
)}
{result.web_searches_made > 0 && (
<Chip variant="violet">
<Search size={12} strokeWidth={2} />
{result.web_searches_made} {isRo ? 'căutări web' : 'web searches'}
</Chip>
)}
{result.total_duration_ms > 0 && (
<Chip variant="neutral">
<Timer size={12} strokeWidth={2} />
{(result.total_duration_ms / 1000).toFixed(1)}s
</Chip>
)}
</ChipsRow>
</StatBlock>
)}
{renderClaimsEditorial(result, isRo, expanded, () => setExpanded(o => !o))}
</>
);
};

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import React from 'react';
import { useTranslation } from 'react-i18next';
import type { TechniqueDefinition } from '../../../services/technique-definitions.service';
import type { ComponentStatus } from '../types';
import { COMPONENT_LABEL_KEYS, COMPONENT_ORDER, STATUS_ICON } from '../utils';
import {
ComponentsGrid, ComponentCard, ComponentHeader, ComponentLeft, ComponentRight,
StatusIcon, ComponentName, DurationBadge, MiniSpinner, FailedBadge, ExpandArrow,
ComponentSummary, ComponentDetail,
} from '../styles';
import { renderTechniquesSummary, renderTechniquesDetail } from '../details/techniques';
import { renderAiSummary, renderAiDetail } from '../details/ai';
import { renderClaimsSummary, renderClaimsDetail } from '../details/claims';
import { renderDomainSummary, renderDomainDetail } from '../details/domain';
import { renderSourceSummary, renderSourceDetail } from '../details/source';
interface Props {
components: Record<string, ComponentStatus>;
fullResult: Record<string, any> | null;
expanded: Set<string>;
onToggle: (name: string) => void;
techniqueDefinitions: TechniqueDefinition[];
}
export const ComponentList: React.FC<Props> = ({ components, fullResult, expanded, onToggle, techniqueDefinitions }) => {
const { t } = useTranslation();
const active = COMPONENT_ORDER.filter(c => components[c] && components[c].status !== 'skipped');
if (active.length === 0) return null;
return (
<ComponentsGrid>
{active.map(name => {
const comp = components[name];
const isComplete = comp.status === 'completed';
const isFailed = comp.status === 'failed';
const isExpanded = expanded.has(name);
const result = fullResult?.[name] || (comp as any).result;
const hasResult = isComplete && !!result;
return (
<ComponentCard
key={name}
status={comp.status}
onClick={() => hasResult && onToggle(name)}
clickable={!!hasResult}
>
<ComponentHeader>
<ComponentLeft>
<StatusIcon status={comp.status}>{STATUS_ICON[comp.status]}</StatusIcon>
<ComponentName>{COMPONENT_LABEL_KEYS[name] ? t(COMPONENT_LABEL_KEYS[name]) : name}</ComponentName>
</ComponentLeft>
<ComponentRight>
{comp.duration_ms != null && (
<DurationBadge>{(comp.duration_ms / 1000).toFixed(1)}s</DurationBadge>
)}
{comp.status === 'running' && <MiniSpinner />}
{isFailed && <FailedBadge>{t('common.failed')}</FailedBadge>}
{hasResult && <ExpandArrow expanded={isExpanded} />}
</ComponentRight>
</ComponentHeader>
{isComplete && !isExpanded && (
<ComponentSummary>
{name === 'techniques' && renderTechniquesSummary(result, t)}
{name === 'ai_tampered' && renderAiSummary(result, t)}
{name === 'claims' && renderClaimsSummary(result, t)}
{name === 'domain' && renderDomainSummary(result)}
{name === 'source_assessment' && renderSourceSummary(result)}
</ComponentSummary>
)}
{isExpanded && hasResult && (
<ComponentDetail onClick={e => e.stopPropagation()}>
{name === 'techniques' && renderTechniquesDetail(result, techniqueDefinitions, t)}
{name === 'ai_tampered' && renderAiDetail(result, t)}
{name === 'claims' && renderClaimsDetail(result, t)}
{name === 'domain' && renderDomainDetail(result)}
{name === 'source_assessment' && renderSourceDetail(result)}
</ComponentDetail>
)}
</ComponentCard>
);
})}
</ComponentsGrid>
);
};

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import React from 'react';
import { Info } from 'lucide-react';
import type { LucideIcon } from 'lucide-react';
import styled from '@emotion/styled';
import {
FindingCardBox, FindingIconBox, FindingBody,
FindingEyebrow, FindingHeadline, FindingQuote, FindingSourceRow,
} from '../styles';
export type FindingAccent = 'critical' | 'warning' | 'info' | 'success' | 'neutral' | 'violet';
const ACCENT_HEX: Record<FindingAccent, string> = {
critical: '#ef4444',
warning: '#f97316',
info: '#3b82f6',
success: '#22c55e',
neutral: '#94a3b8',
violet: '#7fd0d4',
};
const HeadlineRow = styled.span`
display: inline-flex;
align-items: center;
gap: 6px;
flex-wrap: wrap;
`;
const InfoBubble = styled.span`
display: inline-flex;
align-items: center;
justify-content: center;
width: 16px;
height: 16px;
border-radius: 50%;
background: var(--accent-subtle);
color: var(--accent-text);
cursor: help;
flex-shrink: 0;
transition: background 0.15s ease;
&:hover { background: var(--accent-subtle); }
`;
interface Props {
icon: LucideIcon;
accent?: FindingAccent;
dominant?: boolean;
iconLg?: boolean;
eyebrow?: React.ReactNode;
headline: React.ReactNode;
/** Optional explanation shown via a small ⓘ next to the headline (native browser tooltip). */
info?: string;
quote?: React.ReactNode;
source?: React.ReactNode;
}
export const FindingCard: React.FC<Props> = ({
icon: Icon, accent = 'critical', dominant, iconLg,
eyebrow, headline, info, quote, source,
}) => (
<FindingCardBox dominant={dominant}>
<FindingIconBox accent={ACCENT_HEX[accent]} lg={iconLg || dominant}>
<Icon size={iconLg || dominant ? 20 : 18} strokeWidth={2} />
</FindingIconBox>
<FindingBody>
{eyebrow && <FindingEyebrow>{eyebrow}</FindingEyebrow>}
<FindingHeadline dominant={dominant}>
<HeadlineRow>
{headline}
{info && (
<InfoBubble title={info} aria-label={info}>
<Info size={11} strokeWidth={2.5} />
</InfoBubble>
)}
</HeadlineRow>
</FindingHeadline>
{quote && <FindingQuote>{quote}</FindingQuote>}
{source && <FindingSourceRow>{source}</FindingSourceRow>}
</FindingBody>
</FindingCardBox>
);

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import React, { useEffect, useRef, useState } from 'react';
import type { LucideIcon } from 'lucide-react';
import {
HeadlineCard as HeadlineCardBox,
GaugeCol, Gauge, GaugeTrack, GaugeFill, GaugeCenter, GaugeScore, GaugeOf,
HeadlineContent, HeadlineEyebrow, CategoryRow, CategoryIconBox, CategoryName, CategoryDesc,
TldrText,
} from '../styles';
interface Props {
accent: string;
score: number;
/** Optional secondary line for gauge center, e.g. "/ 100 RISC". */
scoreLabel?: string;
eyebrow: string;
icon: LucideIcon;
category: string;
/** Inline descriptor next to category (already composed with separators). */
descriptor?: React.ReactNode;
/** Optional TL;DR paragraph (Merriweather italic). */
tldr?: React.ReactNode;
}
/** Animated count-up — runs once on mount & on score change. */
function useCountUp(target: number, duration = 900, delay = 1100): number {
const [val, setVal] = useState(0);
const rafRef = useRef<number | null>(null);
useEffect(() => {
let start: number | null = null;
const tick = (ts: number) => {
if (start == null) start = ts;
const t = Math.min(1, (ts - start) / duration);
const eased = 1 - Math.pow(1 - t, 3);
setVal(Math.round(target * eased));
if (t < 1) rafRef.current = requestAnimationFrame(tick);
};
const timer = setTimeout(() => { rafRef.current = requestAnimationFrame(tick); }, delay);
return () => {
clearTimeout(timer);
if (rafRef.current) cancelAnimationFrame(rafRef.current);
};
}, [target, duration, delay]);
return val;
}
export const HeadlineCard: React.FC<Props> = ({
accent, score, scoreLabel, eyebrow, icon: Icon, category, descriptor, tldr,
}) => {
const animated = useCountUp(score);
void animated; // gauge fills via CSS keyframe; static value used; reserved for future
return (
<HeadlineCardBox accent={accent}>
<GaugeCol>
<Gauge accent={accent}>
<svg viewBox="0 0 168 168">
<GaugeTrack cx={84} cy={84} r={80} />
<GaugeFill cx={84} cy={84} r={80} scorePercent={score} />
</svg>
<GaugeCenter>
<GaugeScore>{score}</GaugeScore>
{scoreLabel && <GaugeOf>{scoreLabel}</GaugeOf>}
</GaugeCenter>
</Gauge>
</GaugeCol>
<HeadlineContent>
<HeadlineEyebrow>{eyebrow}</HeadlineEyebrow>
<CategoryRow>
<CategoryIconBox accent={accent}>
<Icon size={18} strokeWidth={2.2} />
</CategoryIconBox>
<CategoryName>{category}</CategoryName>
{descriptor && <CategoryDesc>{descriptor}</CategoryDesc>}
</CategoryRow>
{tldr && <TldrText>{tldr}</TldrText>}
</HeadlineContent>
</HeadlineCardBox>
);
};

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import React, { useMemo } from 'react';
import { useTranslation } from 'react-i18next';
import { validateText } from '../../../utils/text-validation';
import { validateUrl } from '../../../utils/url-validation';
import { validateFile } from '../../../utils/file-validation';
import { ConsentNotice, ConsentSlot, useMediaConsent } from '../../ConsentNotice';
import type { InputType } from '../types';
import { INPUT_TYPES } from '../utils';
import {
TypeSelector, TypeButton,
InputArea, TextInput, UrlInputWrapper, UrlInput, UrlHint,
FileDropZone, FileSelected, FileName, FileSize, RemoveFileBtn,
DropPlaceholder, DropLabel, DropHint, FileErrorMsg,
InputFooter, CharCount, AnalyzeBtn, Spinner,
} from '../styles';
interface Props {
inputType: InputType;
onTypeChange: (t: InputType) => void;
inputText: string;
onTextChange: (s: string) => void;
inputUrl: string;
onUrlChange: (s: string) => void;
selectedFile: File | null;
fileError: string | null;
fileInputRef: React.RefObject<HTMLInputElement>;
onFileSelect: (e: React.ChangeEvent<HTMLInputElement>) => void;
onRemoveFile: () => void;
isRunning: boolean;
statusMsg?: string;
onAnalyze: () => void;
}
export const InputForm: React.FC<Props> = ({
inputType, onTypeChange, inputText, onTextChange, inputUrl, onUrlChange,
selectedFile, fileError, fileInputRef, onFileSelect, onRemoveFile,
isRunning, statusMsg, onAnalyze,
}) => {
const { t } = useTranslation();
const textValidation = useMemo(() => validateText(inputText), [inputText]);
const urlValidation = useMemo(() => validateUrl(inputUrl), [inputUrl]);
const [mediaConsent, setMediaConsent] = useMediaConsent();
const isMediaInput = inputType !== 'text' && inputType !== 'url';
const canAnalyze = inputType === 'text'
? textValidation.valid
: inputType === 'url'
? urlValidation.valid
: selectedFile !== null && mediaConsent;
const charCountStyle =
inputType === 'text'
? { color: textValidation.level === 'error' ? '#ef4444' : textValidation.level === 'warning' ? '#eab308' : '#22c55e' }
: inputType === 'url' && urlValidation.error
? { color: '#ef4444' }
: inputType === 'url' && urlValidation.valid
? { color: '#22c55e' }
: undefined;
const charCountText = inputType === 'text'
? (textValidation.error || textValidation.warning || `${inputText.trim().length} characters`)
: inputType === 'url'
? (urlValidation.error || (inputUrl.trim() ? t('common.validUrl') : t('common.enterUrl')))
: selectedFile ? t('common.ready') : t('common.noFileSelected');
return (
<>
<TypeSelector>
{INPUT_TYPES.map(({ key, labelKey }) => (
<TypeButton key={key} active={inputType === key} onClick={() => onTypeChange(key)}>
{t(labelKey)}
</TypeButton>
))}
</TypeSelector>
<InputArea>
{inputType === 'text' ? (
<TextInput
placeholder={t('pipeline.textPlaceholder')}
value={inputText}
onChange={e => onTextChange(e.target.value)}
disabled={isRunning}
/>
) : inputType === 'url' ? (
<UrlInputWrapper>
<UrlInput
type="url"
placeholder={t('pipeline.urlPlaceholder')}
value={inputUrl}
onChange={e => onUrlChange(e.target.value)}
disabled={isRunning}
/>
<UrlHint>{t('pipeline.urlHint')}</UrlHint>
</UrlInputWrapper>
) : (
<>
<FileDropZone>
<input
ref={fileInputRef}
type="file"
accept={INPUT_TYPES.find(t => t.key === inputType)?.accept}
onChange={onFileSelect}
style={{ display: 'none' }}
/>
{selectedFile ? (
<FileSelected>
<FileName>{selectedFile.name}</FileName>
<FileSize>{(selectedFile.size / (1024 * 1024)).toFixed(1)} MB</FileSize>
<RemoveFileBtn onClick={onRemoveFile}>Remove</RemoveFileBtn>
</FileSelected>
) : (
<DropPlaceholder onClick={() => fileInputRef.current?.click()}>
<DropLabel>Click to select {inputType} file</DropLabel>
<DropHint>
{inputType === 'image' && t('pipeline.imageHint')}
{inputType === 'audio' && t('pipeline.audioHint')}
{inputType === 'video' && t('pipeline.videoHint')}
</DropHint>
</DropPlaceholder>
)}
{fileError && <FileErrorMsg>{fileError}</FileErrorMsg>}
</FileDropZone>
{isMediaInput && (
<ConsentSlot>
<ConsentNotice consented={mediaConsent} onChange={setMediaConsent} />
</ConsentSlot>
)}
</>
)}
<InputFooter>
<CharCount style={charCountStyle}>{charCountText}</CharCount>
<AnalyzeBtn onClick={onAnalyze} disabled={isRunning || !canAnalyze}>
{isRunning ? (<><Spinner />{statusMsg || t('common.analyzing')}</>) : t('pipeline.runFullAnalysis')}
</AnalyzeBtn>
</InputFooter>
</InputArea>
</>
);
};

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import React from 'react';
import { useTranslation } from 'react-i18next';
import styled from '@emotion/styled';
import { spacing } from '../../../theme';
interface Props {
inputType: string;
text: string | null | undefined;
}
/** Split raw input into clean paragraphs. Single \n collapses to space; \n\n+ = new paragraph. */
function toParagraphs(raw: string): string[] {
return raw.split(/\n{2,}/).map(p => p.replace(/\s*\n\s*/g, ' ').trim()).filter(Boolean);
}
export const InputPreview: React.FC<Props> = ({ inputType, text }) => {
const { t } = useTranslation();
if (!text) return null;
const paragraphs = toParagraphs(text);
return (
<Block>
<Label>{t('history.inputLabel', { type: inputType })}</Label>
<Body>
{paragraphs.map((p, i) => <p key={i}>{p}</p>)}
</Body>
</Block>
);
};
const Block = styled.div`
display: flex; flex-direction: column; gap: 6px;
padding: 14px 18px;
background: var(--bg-surface);
border: 1px solid var(--border-subtle);
border-radius: 14px;
margin-bottom: ${spacing.md}px;
`;
const Label = styled.div`
font-size: 10.5px; font-weight: 600; letter-spacing: 0.16em; text-transform: uppercase;
color: var(--fg-muted);
`;
const Body = styled.div`
font-size: 13px; color: var(--fg-secondary); line-height: 1.6;
word-break: break-word; overflow-wrap: break-word;
max-height: 240px; overflow-y: auto;
display: flex; flex-direction: column; gap: 10px;
& p { margin: 0; }
`;

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import React, { useEffect, useState } from 'react';
import { useTranslation } from 'react-i18next';
import type { ComponentStatus } from '../types';
import { COMPONENT_LABEL_KEYS, COMPONENT_ORDER } from '../utils';
import {
ProgressSection, ProgressBar, ProgressFill, ProgressText,
LoadingShell, LoadingHeadline, LoadingPulse,
LoadingGrid, LoadingTile, LoadingTileTop, LoadingTileLeft,
LoadingTileIcon, LoadingTileName, LoadingTileDuration,
LoadingTileMicro, LoadingMiniSpinner,
LoadingFindings, LoadingFindingsLabel, LoadingFindingsRow, LoadingBullet,
} from '../styles';
interface Props {
progress: number;
components: Record<string, ComponentStatus>;
fullResult: Record<string, any> | null;
startedAt: number | null;
statusMsg?: string;
}
const ICON: Record<string, string> = {
pending: '○',
running: '◎',
completed: '✓',
failed: '✗',
skipped: '—',
};
/** Bilingual blurbs per component & state. */
const RUNNING_BLURB: Record<string, { ro: string; en: string }> = {
techniques: { ro: 'caut tehnici de manipulare…', en: 'scanning rhetoric techniques…' },
ai_tampered: { ro: 'evaluez semnalele AI…', en: 'analyzing AI signals…' },
claims: { ro: 'verific afirmațiile cu surse web…', en: 'verifying claims with web sources…' },
source_assessment: { ro: 'evaluez credibilitatea sursei…', en: 'checking source credibility…' },
};
const PENDING_BLURB: Record<string, { ro: string; en: string }> = {
techniques: { ro: 'așteaptă să caute tehnici', en: 'will scan techniques' },
ai_tampered: { ro: 'așteaptă să detecteze AI', en: 'will detect AI' },
claims: { ro: 'așteaptă verificarea web', en: 'will verify on the web' },
source_assessment: { ro: 'așteaptă evaluarea sursei', en: 'will assess source' },
};
function fmtMs(ms: number) {
if (ms < 1000) return `${ms}ms`;
const s = Math.floor(ms / 1000);
if (s < 60) return `${s}s`;
return `${Math.floor(s / 60)}m ${s % 60}s`;
}
/** Build a component-specific micro-stat text from its result (when completed). */
function buildDoneMicro(name: string, result: any): string | null {
if (!result) return null;
switch (name) {
case 'techniques': {
const count = result.techniques_detected?.length || 0;
if (count === 0) return 'no techniques detected';
const score = typeof result.manipulation_score === 'number'
? result.manipulation_score
: parseFloat(result.manipulation_score) || 0;
return `${count} detected · score ${score.toFixed(0)}`;
}
case 'ai_tampered': {
const prob = typeof result.ai_probability === 'number'
? result.ai_probability
: parseFloat(result.ai_probability) || 0;
return `${prob.toFixed(0)}% AI probability`;
}
case 'claims': {
const total = result.total_claims || 0;
const f = result.verified_false || 0;
const t = result.verified_true || 0;
if (total === 0) return 'no claims found';
return `${total} claims · ${t} true · ${f} false`;
}
case 'source_assessment': {
const trust = result.trust_score;
if (trust == null) return 'no source data';
return `trust ${trust}%`;
}
default:
return null;
}
}
/** Build the running list of "Detectate până acum" bullets from progressive results. */
function buildLiveFindings(result: Record<string, any> | null, isRo: boolean): { color: string; text: string }[] {
if (!result) return [];
const out: { color: string; text: string }[] = [];
if (result.techniques?.techniques_detected?.length) {
const n = result.techniques.techniques_detected.length;
out.push({
color: '#ef4444',
text: isRo
? `${n} ${n === 1 ? 'tehnică de manipulare detectată' : 'tehnici de manipulare detectate'}`
: `${n} manipulation ${n === 1 ? 'technique' : 'techniques'} detected`,
});
}
if (result.ai_tampered?.ai_probability != null) {
const p = result.ai_tampered.ai_probability;
out.push({
color: p >= 60 ? '#f97316' : '#22c55e',
text: isRo ? `Probabilitate AI: ${p.toFixed(0)}%` : `AI probability: ${p.toFixed(0)}%`,
});
}
if (result.claims?.total_claims != null) {
const total = result.claims.total_claims;
const f = result.claims.verified_false || 0;
if (total > 0) {
out.push({
color: f > 0 ? '#ef4444' : '#3b82f6',
text: isRo
? `${total} ${total === 1 ? 'afirmație verificată' : 'afirmații verificate'}${f > 0 ? `, ${f} ${f === 1 ? 'falsă' : 'false'}` : ''}`
: `${total} claims verified${f > 0 ? `, ${f} false` : ''}`,
});
}
}
if (result.source_assessment?.trust_score != null) {
const t = result.source_assessment.trust_score;
out.push({
color: t >= 70 ? '#22c55e' : t >= 40 ? '#f97316' : '#ef4444',
text: isRo ? `Încredere sursă: ${t}%` : `Source trust: ${t}%`,
});
}
return out;
}
export const LoadingState: React.FC<Props> = ({ progress, components, fullResult, startedAt, statusMsg }) => {
const { t, i18n } = useTranslation();
const isRo = (i18n.language || '').toLowerCase().startsWith('ro');
const [now, setNow] = useState<number>(() => Date.now());
useEffect(() => {
if (!startedAt) return;
const id = setInterval(() => setNow(Date.now()), 500);
return () => clearInterval(id);
}, [startedAt]);
const elapsed = startedAt ? now - startedAt : 0;
const findings = buildLiveFindings(fullResult, isRo);
return (
<>
<ProgressSection>
<ProgressBar><ProgressFill width={progress} /></ProgressBar>
<ProgressText>
<span>{statusMsg || (isRo ? 'Analiză în curs…' : 'Analyzing…')}</span>
<span>{Math.round(progress)}% · {fmtMs(elapsed)}</span>
</ProgressText>
</ProgressSection>
<LoadingShell>
<LoadingHeadline>
<LoadingPulse />
{isRo ? 'DIDI analizează textul tău' : 'DIDI is analyzing your input'}
</LoadingHeadline>
<LoadingGrid>
{COMPONENT_ORDER.map(name => {
const comp = components[name];
const status = comp?.status || 'pending';
const result = fullResult?.[name];
const doneMicro = status === 'completed' ? buildDoneMicro(name, result) : null;
const micro = status === 'completed'
? (doneMicro || (isRo ? 'finalizat' : 'done'))
: status === 'running'
? (RUNNING_BLURB[name]?.[isRo ? 'ro' : 'en'] || (isRo ? 'în lucru…' : 'working…'))
: status === 'failed'
? (isRo ? 'eșuat' : 'failed')
: status === 'skipped'
? (isRo ? 'omis' : 'skipped')
: (PENDING_BLURB[name]?.[isRo ? 'ro' : 'en'] || (isRo ? 'în coadă' : 'queued'));
return (
<LoadingTile key={name} status={status}>
<LoadingTileTop>
<LoadingTileLeft>
<LoadingTileIcon status={status}>{ICON[status]}</LoadingTileIcon>
<LoadingTileName>{t(COMPONENT_LABEL_KEYS[name] || name)}</LoadingTileName>
</LoadingTileLeft>
{comp?.duration_ms != null && status === 'completed' && (
<LoadingTileDuration>{(comp.duration_ms / 1000).toFixed(1)}s</LoadingTileDuration>
)}
</LoadingTileTop>
<LoadingTileMicro status={status}>
{status === 'running' && <LoadingMiniSpinner />}
{micro}
</LoadingTileMicro>
</LoadingTile>
);
})}
</LoadingGrid>
{findings.length > 0 && (
<LoadingFindings>
<LoadingFindingsLabel>{isRo ? 'Detectate până acum' : 'Detected so far'}</LoadingFindingsLabel>
{findings.map((f, i) => (
<LoadingFindingsRow key={i}>
<LoadingBullet color={f.color} />
<span>{f.text}</span>
</LoadingFindingsRow>
))}
</LoadingFindings>
)}
</LoadingShell>
</>
);
};

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import React from 'react';
import {
SectionDividerRow, SectionDividerLabel, SectionDividerLine, SectionDividerCount,
} from '../styles';
interface Props {
label: string;
count?: React.ReactNode;
}
export const SectionDivider: React.FC<Props> = ({ label, count }) => (
<SectionDividerRow>
<SectionDividerLabel>{label}</SectionDividerLabel>
<SectionDividerLine />
{count != null && <SectionDividerCount>{count}</SectionDividerCount>}
</SectionDividerRow>
);

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import React from 'react';
import {
ShieldCheck, ShieldAlert, AlertTriangle, AlertOctagon,
} from 'lucide-react';
import type { LucideIcon } from 'lucide-react';
import { enumLabel } from '../../../utils/i18n-enums';
import type { SourceAssessmentResult } from '../../../types/analysis-session';
import { HeadlineCard } from './HeadlineCard';
import { renderSourceEditorial } from '../details/source';
const trustAccent = (s: number): string =>
s >= 70 ? '#22c55e' : s >= 40 ? '#eab308' : s >= 20 ? '#f97316' : '#ef4444';
const trustIcon = (s: number): LucideIcon => {
if (s >= 70) return ShieldCheck;
if (s >= 40) return ShieldAlert;
if (s >= 20) return AlertTriangle;
return AlertOctagon;
};
const buildTldr = (r: SourceAssessmentResult, isRo: boolean): string => {
const verdictTxt = enumLabel(r.verdict || '').replace(/_/g, ' ').toLowerCase();
const riskTxt = enumLabel(r.risk_level || '').toLowerCase();
if (isRo) {
return `Sursă ${verdictTxt} cu scor de încredere ${r.trust_score}/100${riskTxt ? `, risc ${riskTxt}` : ''}.`;
}
return `${verdictTxt.charAt(0).toUpperCase() + verdictTxt.slice(1)} source with trust score ${r.trust_score}/100${riskTxt ? ` · ${riskTxt} risk` : ''}.`;
};
interface Props {
result: SourceAssessmentResult;
isRo: boolean;
}
export const SourceResults: React.FC<Props> = ({ result: r, isRo }) => {
const accent = trustAccent(r.trust_score);
const Icon = trustIcon(r.trust_score);
return (
<>
<HeadlineCard
accent={accent}
score={r.trust_score}
scoreLabel={isRo ? '/ 100 ÎNCREDERE' : '/ 100 TRUST'}
eyebrow={isRo ? 'Evaluarea sursei' : 'Source assessment'}
icon={Icon}
category={enumLabel(r.verdict || '').replace(/_/g, ' ')}
descriptor={
<>
{r.risk_level && (
<span>{isRo ? 'Risc' : 'Risk'} {enumLabel(r.risk_level).toLowerCase()}</span>
)}
{r.publication?.name && (
<>
<span className="sep">·</span>
<span>{r.publication.name}</span>
</>
)}
</>
}
tldr={buildTldr(r, isRo)}
/>
{renderSourceEditorial(r, isRo)}
</>
);
};

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import React, { useState } from 'react';
import { AlertOctagon, AlertTriangle, Info, ShieldCheck } from 'lucide-react';
import type { LucideIcon } from 'lucide-react';
import type { TechniquesResult } from '../../../types/analysis-session';
import type { TechniqueDefinition } from '../../../services/technique-definitions.service';
import { HeadlineCard } from './HeadlineCard';
import { FindingCard } from './FindingCard';
import { renderTechniquesEditorial } from '../details/techniques';
import { StatBlock, ChipsRow, Chip } from '../styles';
const scoreAccent = (s: number): string =>
s >= 70 ? '#ef4444' : s >= 40 ? '#f97316' : s >= 20 ? '#eab308' : '#22c55e';
const scoreCategory = (s: number, isRo: boolean): string => {
if (s >= 70) return isRo ? 'Critic' : 'Critical';
if (s >= 40) return isRo ? 'Ridicat' : 'High';
if (s >= 20) return isRo ? 'Mediu' : 'Medium';
return isRo ? 'Scăzut' : 'Low';
};
const scoreIcon = (s: number): LucideIcon => {
if (s >= 70) return AlertOctagon;
if (s >= 40) return AlertTriangle;
if (s >= 20) return Info;
return ShieldCheck;
};
const buildTldr = (r: TechniquesResult, isRo: boolean): string => {
const techCount = r.techniques_detected.length;
const dimCount = r.dimensions_affected.length;
const dims = r.dimensions_affected.join(' · ');
if (techCount === 0) {
return isRo
? 'Nicio tehnică de manipulare detectată în acest conținut.'
: 'No manipulation techniques detected in this content.';
}
return isRo
? `${techCount} ${techCount === 1 ? 'tehnică' : 'tehnici'} de manipulare detectate în ${dimCount} ${dimCount === 1 ? 'dimensiune' : 'dimensiuni'}${dims ? ` (${dims})` : ''}.`
: `${techCount} manipulation ${techCount === 1 ? 'technique' : 'techniques'} detected across ${dimCount} ${dimCount === 1 ? 'dimension' : 'dimensions'}${dims ? ` (${dims})` : ''}.`;
};
interface Props {
result: TechniquesResult;
isRo: boolean;
techDefs: TechniqueDefinition[];
}
/** Editorial result section for Manipulation Techniques — shared between live standalone and history detail. */
export const TechniquesResults: React.FC<Props> = ({ result, isRo, techDefs }) => {
const [expanded, setExpanded] = useState(false);
const score = result.manipulation_score ?? 0;
const accent = scoreAccent(score);
const Icon = scoreIcon(score);
const techCount = result.techniques_detected.length;
const dimCount = result.dimensions_affected.length;
const warningFlags = result.coupling_context?.for_claims?.warning_flags ?? [];
return (
<>
<HeadlineCard
accent={accent}
score={score}
scoreLabel={isRo ? '/ 100 SCOR' : '/ 100 SCORE'}
eyebrow={isRo ? 'Tehnici de manipulare' : 'Manipulation techniques'}
icon={Icon}
category={scoreCategory(score, isRo)}
descriptor={
<>
<span>{techCount} {isRo ? (techCount === 1 ? 'tehnică' : 'tehnici') : (techCount === 1 ? 'technique' : 'techniques')}</span>
{dimCount > 0 && (
<>
<span className="sep">·</span>
<span>{dimCount} {isRo ? (dimCount === 1 ? 'dimensiune' : 'dimensiuni') : (dimCount === 1 ? 'dimension' : 'dimensions')}</span>
</>
)}
</>
}
tldr={buildTldr(result, isRo)}
/>
{(score > 0 || dimCount > 0) && (
<StatBlock>
<ChipsRow>
{result.dimensions_affected.map(dim => (
<Chip key={dim} variant="info">{dim}</Chip>
))}
{techCount > 0 && (
<Chip variant="violet">
{techCount} {isRo ? 'tehnici detectate' : 'techniques detected'}
</Chip>
)}
</ChipsRow>
</StatBlock>
)}
{techCount > 0 && renderTechniquesEditorial(
result,
techDefs,
isRo,
expanded,
() => setExpanded(o => !o),
)}
{techCount === 0 && (
<FindingCard
icon={ShieldCheck}
accent="success"
eyebrow={isRo ? 'Conținut curat' : 'Clean content'}
headline={isRo ? 'Nicio tehnică de manipulare detectată' : 'No manipulation techniques detected'}
/>
)}
{warningFlags.length > 0 && (
<FindingCard
icon={AlertTriangle}
accent="warning"
eyebrow={isRo ? 'Semnale adiționale' : 'Additional signals'}
headline={isRo ? 'Indicatori de manipulare detectați la screening' : 'Manipulation signals detected at screening'}
quote={warningFlags.map(f => f.replace(/_/g, ' ')).join(' · ')}
/>
)}
</>
);
};

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import React, { useEffect, useMemo, useRef, useState } from 'react';
import { useTranslation } from 'react-i18next';
import {
AlertOctagon, AlertTriangle, Info, ShieldCheck,
OctagonX, AlertCircle, BarChart3, Layers, ExternalLink,
Zap, UserX, Quote, Users, ShieldQuestion,
Cpu, ShieldAlert, XCircle, CheckCircle2, HelpCircle,
TrendingUp, Timer, Plus, ChevronDown, Tag, BarChart2,
} from 'lucide-react';
import type { LucideIcon } from 'lucide-react';
import type {
VerdictResult, VerdictSummary, KeyFinding,
} from '../../../types/analysis-session';
import type { TechniqueDefinition } from '../../../services/technique-definitions.service';
import { localizedExplanation } from '../../../utils/i18n-fields';
import { enumLabel } from '../../../utils/i18n-enums';
import type { ComponentStatus } from '../types';
import { RISK_COLORS, getViralityColor, safeHostname } from '../utils';
import {
VerdictSection,
ActionCallout, ActionIconBox, ActionBody, ActionEyebrow, ActionHeadline, ActionText,
CollapseBtn, CollapseBtnLeft, CollapseBtnChevron,
StatBlock, ScoresBlock, ScoreLine, ScoreLineName, ScoreLineBar, ScoreLineFill, ScoreLineNum, ScoreLineSkipped,
ChipsRow, Chip,
LegacyExplanation,
} from '../styles';
import { HeadlineCard } from './HeadlineCard';
import { FindingCard, type FindingAccent } from './FindingCard';
import { SectionDivider } from './SectionDivider';
import { renderTechniquesEditorial } from '../details/techniques';
import { renderAiEditorial } from '../details/ai';
import { renderClaimsEditorial } from '../details/claims';
import { renderSourceEditorial } from '../details/source';
interface Props {
verdict: VerdictResult;
totalDuration: number | null;
components: Record<string, ComponentStatus>;
fullResult: Record<string, any> | null;
techniqueDefinitions: TechniqueDefinition[];
}
const SEVERITY_RANK: Record<string, number> = { critical: 0, warning: 1, info: 2 };
/** Backend occasionally leaks debug strings (e.g. `ai_probability=85/100, verdict="LIKELY_AI"`,
* `Claims: [SKIPPED]`, `data_quality=full`) into evidence_ref.quote. Hide those keep real quotes. */
function cleanQuote(q: string | null | undefined): string | undefined {
if (!q) return undefined;
if (/\[SKIPPED\]/i.test(q)) return undefined;
if (/^\s*\w+\s*=\s*[\d"']/.test(q)) return undefined;
if (/data_quality\s*=/i.test(q)) return undefined;
return q;
}
/** Map finding severity → icon + accent. */
function findingIcon(f: KeyFinding): { icon: LucideIcon; accent: FindingAccent } {
const sev = f.severity;
const type = f.type;
// Type-based mapping (richer than just severity)
const TYPE_ICONS: Record<string, LucideIcon> = {
false_claim: BarChart3,
fabricated_quote: Quote,
manipulation: AlertCircle,
urgency: Zap,
imposter_content: UserX,
conspiracy: ShieldQuestion,
demographic: Users,
};
const accent: FindingAccent = sev === 'critical' ? 'critical' : sev === 'warning' ? 'warning' : 'info';
return { icon: TYPE_ICONS[type as string] || AlertCircle, accent };
}
/** Action callout eyebrow text by severity + locale. */
function actionEyebrow(severity: string, isRo: boolean): string {
if (severity === 'critical') return isRo ? 'NU DISTRIBUI' : 'DO NOT SHARE';
if (severity === 'warning') return isRo ? 'CITEȘTE CRITIC' : 'READ CRITICALLY';
return isRo ? 'DE REȚINUT' : 'NOTE';
}
/** Category icon by risk_category_color. */
function categoryIcon(color: string): LucideIcon {
if (color === 'red' || color === 'darkred') return AlertOctagon;
if (color === 'orange') return AlertTriangle;
if (color === 'yellow') return Info;
if (color === 'green' || color === 'lightgreen') return ShieldCheck;
return Info;
}
/** Animated count-up — re-runs when target changes. */
function useCountUp(target: number, duration = 900, delay = 200): number {
const [val, setVal] = useState(0);
const rafRef = useRef<number | null>(null);
useEffect(() => {
let start: number | null = null;
const begin = (ts: number) => { start = ts; tick(ts); };
const tick = (ts: number) => {
if (start == null) start = ts;
const t = Math.min(1, (ts - start) / duration);
const eased = 1 - Math.pow(1 - t, 3);
setVal(Math.round(target * eased));
if (t < 1) rafRef.current = requestAnimationFrame(tick);
};
const timer = setTimeout(() => { rafRef.current = requestAnimationFrame(begin); }, delay);
return () => {
clearTimeout(timer);
if (rafRef.current) cancelAnimationFrame(rafRef.current);
};
}, [target, duration, delay]);
return val;
}
export const Verdict: React.FC<Props> = ({
verdict, totalDuration, components, fullResult, techniqueDefinitions,
}) => {
const { t, i18n } = useTranslation();
const isRo = (i18n.language || '').toLowerCase().startsWith('ro');
const [secondaryOpen, setSecondaryOpen] = useState(false);
const [detailsOpen, setDetailsOpen] = useState(false);
const [techExpand, setTechExpand] = useState(false);
const [claimsExpand, setClaimsExpand] = useState(false);
const summary = (verdict.context_summary as { verdict_summary?: VerdictSummary } | undefined)?.verdict_summary;
const accent = RISK_COLORS[verdict.risk_category_color] || '#94a3b8';
const animatedScore = useCountUp(verdict.risk_score, 900, 1100);
void animatedScore; // gauge fills via CSS keyframe; we use it visually for text
const sortedFindings = useMemo<KeyFinding[]>(() => {
if (!summary?.key_findings) return [];
return [...summary.key_findings].sort(
(a, b) => (SEVERITY_RANK[a.severity] ?? 3) - (SEVERITY_RANK[b.severity] ?? 3),
);
}, [summary]);
const dominant = sortedFindings[0];
const rest = sortedFindings.slice(1);
const CatIcon = categoryIcon(verdict.risk_category_color);
// Tier 4 chips data
const techniquesCount = verdict.context_summary?.techniques_detected ?? 0;
const falseClaims = verdict.context_summary?.claims_false ?? 0;
const elapsedSec = totalDuration ? `${(totalDuration / 1000).toFixed(1)}s` : null;
const viralityScore = verdict.virality_score;
const viralityLevel = verdict.virality_level;
const scoreEntries: { name: string; value: number | null }[] = [
{ name: isRo ? 'Manipulare' : 'Manipulation', value: verdict.score_manipulation ?? null },
{ name: 'Claims', value: verdict.score_claims ?? null },
{ name: isRo ? 'AI generation' : 'AI generation', value: verdict.score_ai ?? null },
{ name: isRo ? 'Sursă' : 'Source', value: verdict.score_source ?? null },
];
const hasComponentData = !!(fullResult?.techniques || fullResult?.ai_tampered ||
fullResult?.claims || fullResult?.source_assessment);
return (
<VerdictSection>
{summary ? (
<>
{/* ─── TIER 1 — HEADLINE cu gauge ─── */}
<HeadlineCard
accent={accent}
score={verdict.risk_score}
scoreLabel={`/ 100 ${isRo ? 'RISC' : 'RISK'}`}
eyebrow={isRo ? 'Risc analizat' : 'Risk analyzed'}
icon={CatIcon}
category={enumLabel(verdict.risk_category || '').replace(/_/g, ' ')}
descriptor={
<>
{verdict.risk_level && (
<>
<span>{enumLabel(verdict.risk_level)}</span>
<span className="sep">·</span>
</>
)}
{verdict.confidence != null && (
<span>{isRo ? 'Certitudine' : 'Confidence'} {verdict.confidence}%</span>
)}
</>
}
tldr={isRo ? summary.tl_dr_ro : summary.tl_dr_en}
/>
{/* ─── TIER 2 — ACTION CALLOUT ─── */}
{(summary.what_to_do_ro || summary.what_to_do_en) && (
<ActionCallout accent={accent}>
<ActionIconBox accent={accent}>
<OctagonX size={26} strokeWidth={2} />
</ActionIconBox>
<ActionBody>
<ActionEyebrow accent={accent}>
{actionEyebrow(dominant?.severity || 'info', isRo)}
</ActionEyebrow>
<ActionHeadline>
{isRo
? (dominant?.severity === 'critical' ? 'Nu distribui acest articol' : 'Citește cu atenție')
: (dominant?.severity === 'critical' ? 'Do not share this article' : 'Read carefully')}
</ActionHeadline>
<ActionText>{isRo ? summary.what_to_do_ro : summary.what_to_do_en}</ActionText>
</ActionBody>
</ActionCallout>
)}
{/* ─── TIER 3 — DOMINANT FINDING ─── */}
{dominant && (
<>
<SectionDivider label={isRo ? 'Cea mai gravă problemă' : 'Top issue'} />
{(() => {
const { icon, accent: a } = findingIcon(dominant);
return (
<FindingCard
dominant
icon={icon}
accent={a}
headline={isRo ? dominant.ro : dominant.en}
quote={cleanQuote(dominant.evidence_ref?.quote)}
source={dominant.evidence_ref?.source_url ? (
<>
<ExternalLink size={13} strokeWidth={2} />
<span>{isRo ? 'Verificat de' : 'Verified by'}</span>
<a
href={dominant.evidence_ref.source_url}
target="_blank" rel="noopener noreferrer"
style={{ color: 'var(--accent-text)', textDecoration: 'none', fontWeight: 500 }}
>
{safeHostname(dominant.evidence_ref.source_url)}
</a>
</>
) : undefined}
/>
);
})()}
{/* secondary findings collapse */}
{rest.length > 0 && (
<>
<CollapseBtn onClick={() => setSecondaryOpen(o => !o)}>
<CollapseBtnLeft>
<Layers size={16} strokeWidth={2} />
<span>
{secondaryOpen
? (isRo ? 'Ascunde celelalte semne' : 'Hide other signals')
: (isRo
? `Vezi ${rest.length} ${rest.length === 1 ? 'alt semn de manipulare' : 'alte semne de manipulare'}`
: `Show ${rest.length} more ${rest.length === 1 ? 'manipulation signal' : 'manipulation signals'}`)}
</span>
</CollapseBtnLeft>
<CollapseBtnChevron expanded={secondaryOpen}>
<ChevronDown size={14} strokeWidth={2.5} />
</CollapseBtnChevron>
</CollapseBtn>
{secondaryOpen && (
<>
<SectionDivider
label={isRo ? 'Alte semne de manipulare' : 'Other manipulation signals'}
count={rest.length}
/>
{rest.map((f, idx) => {
const { icon, accent: a } = findingIcon(f);
return (
<FindingCard
key={idx}
icon={icon}
accent={a}
headline={isRo ? f.ro : f.en}
quote={cleanQuote(f.evidence_ref?.quote)}
source={f.evidence_ref?.source_url ? (
<>
<ExternalLink size={13} strokeWidth={2} />
<a
href={f.evidence_ref.source_url}
target="_blank" rel="noopener noreferrer"
style={{ color: 'var(--accent-text)', textDecoration: 'none', fontWeight: 500 }}
>
{safeHostname(f.evidence_ref.source_url)}
</a>
</>
) : (
<>
<Tag size={13} strokeWidth={2} />
<span>{f.type.replace(/_/g, ' ')}</span>
</>
)}
/>
);
})}
</>
)}
</>
)}
</>
)}
{/* ─── TIER 4 — DETALII TEHNICE (collapse) ─── */}
<CollapseBtn onClick={() => setDetailsOpen(o => !o)}>
<CollapseBtnLeft>
<BarChart3 size={16} strokeWidth={2} />
<span>{isRo ? 'Detalii tehnice' : 'Technical details'}</span>
</CollapseBtnLeft>
<CollapseBtnChevron expanded={detailsOpen}>
<ChevronDown size={14} strokeWidth={2.5} />
</CollapseBtnChevron>
</CollapseBtn>
{detailsOpen && (
<>
{/* Stat block — score bars + chips */}
<StatBlock>
<ScoresBlock>
{scoreEntries.map(({ name, value }, i) => (
<ScoreLine key={name}>
<ScoreLineName>{name}</ScoreLineName>
<ScoreLineBar>
{value != null && (
<ScoreLineFill
width={value}
color={value >= 70 ? '#ef4444' : value >= 40 ? '#f97316' : '#22c55e'}
delay={200 + i * 80}
/>
)}
</ScoreLineBar>
{value != null
? <ScoreLineNum>{value.toFixed(0)}</ScoreLineNum>
: <ScoreLineSkipped></ScoreLineSkipped>}
</ScoreLine>
))}
</ScoresBlock>
<ChipsRow>
{viralityScore != null && (
<Chip variant={viralityScore >= 50 ? 'critical' : viralityScore >= 25 ? 'warning' : 'success'}>
<TrendingUp size={12} strokeWidth={2} />
Virality {viralityScore}{viralityLevel ? ` ${enumLabel(viralityLevel)}` : ''}
</Chip>
)}
{techniquesCount > 0 && (
<Chip variant="violet">
<Layers size={12} strokeWidth={2} />
{techniquesCount} {isRo ? 'tehnici detectate' : 'techniques detected'}
</Chip>
)}
{falseClaims > 0 && (
<Chip variant="critical">
<XCircle size={12} strokeWidth={2} />
{falseClaims} {isRo ? 'afirmații false' : 'false claims'}
</Chip>
)}
{elapsedSec && (
<Chip variant="neutral">
<Timer size={12} strokeWidth={2} />
{elapsedSec} {isRo ? 'analiză' : 'analysis'}
</Chip>
)}
</ChipsRow>
</StatBlock>
{/* AI Detection */}
{fullResult?.ai_tampered && renderAiEditorial(fullResult.ai_tampered, isRo)}
{/* Source Assessment */}
{fullResult?.source_assessment && renderSourceEditorial(fullResult.source_assessment, isRo)}
{/* Techniques */}
{fullResult?.techniques && renderTechniquesEditorial(fullResult.techniques, techniqueDefinitions, isRo, techExpand, () => setTechExpand(o => !o))}
{/* Claims */}
{fullResult?.claims && renderClaimsEditorial(fullResult.claims, isRo, claimsExpand, () => setClaimsExpand(o => !o))}
{/* If we have components but no detail data */}
{!hasComponentData && (
<FindingCard
icon={Info}
accent="neutral"
headline={isRo ? 'Detalii pe componente indisponibile' : 'No component data available'}
/>
)}
</>
)}
</>
) : (
// ═══ LEGACY FALLBACK ═══
<>
<HeadlineCard
accent={accent}
score={verdict.risk_score}
scoreLabel={`/ 100 ${isRo ? 'RISC' : 'RISK'}`}
eyebrow={isRo ? 'Risc analizat' : 'Risk analyzed'}
icon={CatIcon}
category={enumLabel(verdict.risk_category || '').replace(/_/g, ' ')}
descriptor={verdict.confidence != null
? <span>{isRo ? 'Certitudine' : 'Confidence'} {verdict.confidence}%</span>
: undefined}
/>
{(verdict.explanation_en || verdict.explanation_ro) && (
<LegacyExplanation>{localizedExplanation(verdict)}</LegacyExplanation>
)}
<CollapseBtn onClick={() => setDetailsOpen(o => !o)}>
<CollapseBtnLeft>
<BarChart3 size={16} strokeWidth={2} />
<span>{isRo ? 'Detalii tehnice' : 'Technical details'}</span>
</CollapseBtnLeft>
<CollapseBtnChevron expanded={detailsOpen}>
<ChevronDown size={14} strokeWidth={2.5} />
</CollapseBtnChevron>
</CollapseBtn>
{detailsOpen && (
<>
<StatBlock>
<ScoresBlock>
{scoreEntries.map(({ name, value }, i) => (
<ScoreLine key={name}>
<ScoreLineName>{name}</ScoreLineName>
<ScoreLineBar>
{value != null && (
<ScoreLineFill
width={value}
color={value >= 70 ? '#ef4444' : value >= 40 ? '#f97316' : '#22c55e'}
delay={200 + i * 80}
/>
)}
</ScoreLineBar>
{value != null
? <ScoreLineNum>{value.toFixed(0)}</ScoreLineNum>
: <ScoreLineSkipped></ScoreLineSkipped>}
</ScoreLine>
))}
</ScoresBlock>
<ChipsRow>
{viralityScore != null && (
<Chip variant={viralityScore >= 50 ? 'critical' : 'warning'}>
<TrendingUp size={12} strokeWidth={2} />
Virality {viralityScore}
</Chip>
)}
{elapsedSec && (
<Chip variant="neutral">
<Timer size={12} strokeWidth={2} />
{elapsedSec}
</Chip>
)}
</ChipsRow>
</StatBlock>
</>
)}
</>
)}
</VerdictSection>
);
};

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import styled from '@emotion/styled';
import { keyframes } from '@emotion/react';
import { typography, spacing } from '../../theme';
/* =============================================================================
LAYOUT + TOP HEADER
============================================================================= */
export const Container = styled.div`
width: 100%; max-width: 1800px; margin: 0 auto;
padding: 0;
@media (max-width: 768px) { padding: 0; }
`;
export const Header = styled.div`margin-bottom: ${spacing.xl}px;`;
export const Title = styled.h1`
font-family: ${typography.fontFamily.primary}; font-size: clamp(1.375rem, 1.1rem + 1vw, 1.75rem);
font-weight: ${typography.fontWeight.bold}; color: var(--fg-primary);
margin: 0 0 ${spacing.xs}px 0;
`;
export const Subtitle = styled.p`
font-family: ${typography.fontFamily.primary}; font-size: ${typography.fontSize.sm};
color: var(--fg-muted); margin: 0;
`;
/* =============================================================================
INPUT FORM
============================================================================= */
export const TypeSelector = styled.div`
display: flex; gap: 4px; padding: 4px;
background: var(--bg-surface); border-radius: 12px;
margin-bottom: ${spacing.lg}px; border: 1px solid var(--border-subtle);
@media (max-width: 480px) { flex-direction: column; }
`;
export const TypeButton = styled.button<{ active?: boolean }>`
flex: 1; padding: 10px 16px; border: none; border-radius: 8px; cursor: pointer;
font-family: ${typography.fontFamily.primary}; font-size: ${typography.fontSize.sm};
font-weight: ${p => p.active ? typography.fontWeight.semibold : typography.fontWeight.medium};
transition: all 0.2s;
background: ${p => p.active ? 'var(--accent-subtle)' : 'transparent'};
color: ${p => p.active ? 'var(--accent-text)' : 'var(--fg-secondary)'};
${p => p.active && 'box-shadow: 0 0 0 1px var(--accent-border);'}
`;
export const InputArea = styled.div`
background: var(--bg-surface); border: 1px solid var(--border-default);
border-radius: 14px; overflow: hidden; margin-bottom: ${spacing.lg}px;
&:focus-within { border-color: var(--accent); }
`;
export const TextInput = styled.textarea`
width: 100%; min-height: 140px; padding: ${spacing.lg}px;
display: block; background: transparent;
border: none; font-family: ${typography.fontFamily.primary}; font-size: 0.9375rem;
color: var(--fg-primary); resize: vertical; box-sizing: border-box; line-height: 1.6;
&:focus { outline: none; } &::placeholder { color: var(--fg-muted); }
`;
export const FileDropZone = styled.div`padding: ${spacing.lg}px; min-height: 140px; display: flex; align-items: center; justify-content: center;`;
export const DropPlaceholder = styled.div`
display: flex; flex-direction: column; align-items: center; gap: 8px; padding: 40px;
border: 2px dashed var(--border-default); border-radius: 12px; cursor: pointer; width: 100%;
transition: all 0.2s;
&:hover { border-color: var(--accent); background: var(--accent-subtle); }
`;
export const DropLabel = styled.span`font-size: 14px; color: var(--fg-secondary);`;
export const DropHint = styled.span`font-size: 12px; color: var(--fg-subtle);`;
export const FileErrorMsg = styled.div`font-size: 13px; color: #ef4444; margin-top: 8px; text-align: center;`;
export const FileSelected = styled.div`
display: flex; align-items: center; gap: ${spacing.md}px; padding: 14px 20px;
background: var(--accent-subtle); border: 1px solid var(--accent-border); border-radius: 10px; width: 100%;
`;
export const FileName = styled.span`font-size: 14px; font-weight: 500; color: var(--fg-primary); flex: 1; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;`;
export const FileSize = styled.span`font-size: 12px; color: var(--fg-muted);`;
export const RemoveFileBtn = styled.button`
padding: 4px 10px; border: 1px solid rgba(239,68,68,0.3); border-radius: 6px;
background: transparent; color: #f87171; font-size: 11px; font-weight: 600; cursor: pointer;
&:hover { background: rgba(239,68,68,0.1); }
[data-theme="light"] & { border-color: rgba(220,38,38,0.2); color: #dc2626; }
`;
export const UrlInputWrapper = styled.div`padding: ${spacing.lg}px; display: flex; flex-direction: column; gap: 8px;`;
export const UrlInput = styled.input`
width: 100%; padding: 14px ${spacing.lg}px; background: transparent;
border: none; font-family: ${typography.fontFamily.primary}; font-size: 0.9375rem;
color: var(--fg-primary); box-sizing: border-box;
&:focus { outline: none; } &::placeholder { color: var(--fg-muted); }
`;
export const UrlHint = styled.div`
font-size: 11px; color: var(--fg-subtle); padding: 0 ${spacing.lg}px;
`;
export const InputFooter = styled.div`
display: flex; align-items: center; justify-content: space-between;
padding: ${spacing.sm}px ${spacing.lg}px;
border-top: 1px solid var(--border-subtle);
@media (max-width: 480px) {
flex-direction: column; gap: 8px; padding: ${spacing.md}px;
& > button { width: 100%; justify-content: center; }
}
`;
export const CharCount = styled.span`font-size: 12px; color: var(--fg-subtle);`;
const spin = keyframes`from { transform: rotate(0deg); } to { transform: rotate(360deg); }`;
export { spin };
export const Spinner = styled.span`
display: inline-block; width: 14px; height: 14px;
border: 2px solid rgba(255,255,255,0.3); border-top-color: #fff;
border-radius: 50%; animation: ${spin} 0.7s linear infinite;
`;
export const AnalyzeBtn = styled.button<{ disabled?: boolean }>`
display: flex; align-items: center; gap: 8px; padding: 8px 24px;
background: ${p => p.disabled ? 'var(--accent-subtle)' : 'var(--accent)'};
color: ${p => p.disabled ? 'var(--fg-disabled)' : 'var(--fg-on-accent)'};
border: none; border-radius: 8px; font-family: ${typography.fontFamily.primary};
font-size: ${typography.fontSize.sm}; font-weight: ${typography.fontWeight.semibold};
cursor: ${p => p.disabled ? 'not-allowed' : 'pointer'}; transition: all 0.2s;
&:hover:not(:disabled) { background: var(--accent-hover); transform: translateY(-1px); box-shadow: var(--shadow-md); }
`;
/* =============================================================================
BANNERS (error / skip / warning)
============================================================================= */
export const ErrorBox = styled.div`
display: flex; align-items: center; gap: 10px; padding: 14px ${spacing.lg}px;
background: rgba(239,68,68,0.08); border: 1px solid rgba(239,68,68,0.2);
border-radius: 10px; color: #f87171; font-size: ${typography.fontSize.sm}; margin-bottom: ${spacing.lg}px;
[data-theme="light"] & { background: #fef2f2; border-color: #fecaca; color: #dc2626; }
`;
export const ErrorIcon = styled.span`
display: flex; align-items: center; justify-content: center; width: 20px; height: 20px;
border-radius: 50%; background: rgba(239,68,68,0.2); font-size: 11px; font-weight: 700;
`;
export const SkipBox = styled.div`
display: flex; flex-direction: column; gap: 10px; padding: 16px ${spacing.lg}px;
background: rgba(234,179,8,0.08); border: 1px solid rgba(234,179,8,0.25);
border-radius: 10px; margin-bottom: ${spacing.lg}px;
[data-theme="light"] & { background: #fffbeb; border-color: #fde68a; }
`;
export const SkipText = styled.div`
color: #eab308; font-size: ${typography.fontSize.sm}; line-height: 1.5;
white-space: pre-line;
[data-theme="light"] & { color: #b45309; }
`;
export const SkipAction = styled.button`
align-self: flex-start; padding: 8px 16px; background: var(--accent-subtle);
border: 1px solid var(--accent-border); border-radius: 8px; color: var(--accent-text);
font-size: ${typography.fontSize.sm}; font-weight: ${typography.fontWeight.semibold};
cursor: pointer; transition: all 0.2s;
&:hover { border-color: var(--accent); }
`;
export const WarningBox = styled.div`
padding: 12px ${spacing.lg}px;
background: rgba(234, 179, 8, 0.08); border: 1px solid rgba(234, 179, 8, 0.2);
border-radius: 10px; color: #eab308; font-size: ${typography.fontSize.sm};
margin-bottom: ${spacing.lg}px; display: flex; flex-direction: column; gap: 4px;
[data-theme="light"] & { background: #fefce8; border-color: #fde68a; color: #a16207; }
`;
/* =============================================================================
PROGRESS BAR
============================================================================= */
export const ProgressSection = styled.div`margin-bottom: ${spacing.lg}px;`;
export const ProgressBar = styled.div`
height: 6px; background: var(--bg-active); border-radius: 3px; overflow: hidden;
`;
export const ProgressFill = styled.div<{ width: number }>`
height: 100%; width: ${p => p.width}%; background: var(--accent);
border-radius: 3px; transition: width 0.5s ease;
`;
export const ProgressText = styled.div`
font-size: 11px; color: var(--fg-muted); margin-top: 6px;
display: flex; justify-content: space-between;
`;
/* =============================================================================
LOADING STATE grid 2x2 cu micro-stats live
============================================================================= */
export const LoadingShell = styled.div`
display: flex; flex-direction: column; gap: 16px;
padding: 22px 24px;
background: var(--bg-surface);
border: 1px solid var(--border-subtle);
border-radius: 16px;
margin-bottom: ${spacing.lg}px;
`;
export const LoadingHeadline = styled.div`
font-size: 13px; font-weight: 400; color: var(--fg-secondary);
display: flex; align-items: center; gap: 8px;
letter-spacing: -0.005em;
`;
export const LoadingPulse = styled.span`
display: inline-block; width: 6px; height: 6px; border-radius: 50%;
background: var(--accent);
animation: ${keyframes`
0%, 100% { opacity: 1; transform: scale(1); }
50% { opacity: 0.35; transform: scale(0.8); }
`} 1.4s ease-in-out infinite;
`;
export const LoadingGrid = styled.div`
display: grid; grid-template-columns: 1fr 1fr; gap: 8px;
@media (max-width: 600px) { grid-template-columns: 1fr; }
`;
export const LoadingTile = styled.div<{ status: string }>`
padding: 10px 12px; border-radius: 10px;
background: var(--bg-surface);
border: 1px solid var(--border-subtle);
display: flex; flex-direction: column; gap: 4px;
transition: opacity 0.2s ease;
opacity: ${p => p.status === 'pending' ? 0.55 : 1};
`;
export const LoadingTileTop = styled.div`
display: flex; align-items: center; justify-content: space-between; gap: 8px;
`;
export const LoadingTileLeft = styled.div`display: flex; align-items: center; gap: 8px;`;
export const LoadingTileIcon = styled.span<{ status: string }>`
font-size: 12px; line-height: 1; flex-shrink: 0;
color: ${p =>
p.status === 'completed' ? '#22c55e' :
p.status === 'running' ? 'var(--accent)' :
p.status === 'failed' ? '#ef4444' :
'var(--fg-subtle)'};
`;
export const LoadingTileName = styled.span`
font-size: 12.5px; font-weight: 500; color: var(--fg-primary);
letter-spacing: -0.005em;
`;
export const LoadingTileDuration = styled.span`
font-size: 10px; font-weight: 400;
color: var(--fg-muted);
`;
export const LoadingTileMicro = styled.div<{ status: string }>`
font-size: 11.5px; line-height: 1.4; padding-left: 20px;
color: ${p =>
p.status === 'completed' ? 'var(--fg-secondary)' :
p.status === 'running' ? 'var(--accent-text)' :
'var(--fg-subtle)'};
letter-spacing: -0.005em;
`;
export const LoadingMiniSpinner = styled.span`
display: inline-block; width: 9px; height: 9px;
border: 1.5px solid var(--accent-border); border-top-color: var(--accent);
border-radius: 50%; animation: ${spin} 0.7s linear infinite;
margin-right: 4px; vertical-align: -1px;
`;
export const LoadingFindings = styled.div`
display: flex; flex-direction: column; gap: 6px;
padding-top: 14px;
border-top: 1px solid var(--border-subtle);
`;
export const LoadingFindingsLabel = styled.div`
font-size: 10px; text-transform: uppercase; letter-spacing: 0.06em;
color: var(--fg-muted); font-weight: 500;
`;
export const LoadingFindingsRow = styled.div`
font-size: 12.5px; color: var(--fg-secondary); display: flex; align-items: center; gap: 8px;
letter-spacing: -0.005em;
`;
export const LoadingBullet = styled.span<{ color: string }>`
display: inline-block; width: 5px; height: 5px; border-radius: 50%;
background: ${p => p.color}; flex-shrink: 0;
`;
/* =============================================================================
VERDICT EDITORIAL PATTERN (v3 redesign)
============================================================================= */
export const VerdictSection = styled.div`
display: flex; flex-direction: column; gap: 16px;
margin-bottom: ${spacing.lg}px;
/* stagger animation pe încărcare */
& > * { animation: vstagger 380ms cubic-bezier(0.2,0.8,0.2,1) backwards; }
& > *:nth-of-type(1) { animation-delay: 0ms; }
& > *:nth-of-type(2) { animation-delay: 160ms; }
& > *:nth-of-type(3) { animation-delay: 240ms; }
& > *:nth-of-type(4) { animation-delay: 320ms; }
& > *:nth-of-type(5) { animation-delay: 400ms; }
& > *:nth-of-type(6) { animation-delay: 480ms; }
& > *:nth-of-type(7) { animation-delay: 560ms; }
& > *:nth-of-type(8) { animation-delay: 640ms; }
& > *:nth-of-type(9) { animation-delay: 720ms; }
& > *:nth-of-type(n+10) { animation-delay: 800ms; }
@keyframes vstagger {
from { opacity: 0; transform: translateY(12px); }
to { opacity: 1; transform: translateY(0); }
}
`;
/* ─── Tier 1 — HEADLINE cu gauge ring ─── */
export const HeadlineCard = styled.div<{ accent: string }>`
display: flex; align-items: stretch; gap: 28px;
padding: 32px 36px;
background: linear-gradient(180deg, ${p => p.accent}0a, var(--bg-surface));
border: 1px solid ${p => p.accent}1f;
border-radius: 20px;
position: relative; overflow: hidden;
&::before {
content: ''; position: absolute;
top: -120px; right: -120px; width: 320px; height: 320px;
background: radial-gradient(circle, ${p => p.accent}1f, transparent 60%);
pointer-events: none;
}
@media (max-width: 720px) {
flex-direction: column; gap: 20px; padding: 24px 22px; align-items: flex-start;
}
`;
export const GaugeCol = styled.div`
flex-shrink: 0; display: flex; align-items: center; justify-content: center; width: 168px;
@media (max-width: 720px) { width: auto; align-self: flex-start; }
`;
export const Gauge = styled.div<{ accent: string }>`
width: 168px; height: 168px; position: relative; color: ${p => p.accent};
svg { width: 100%; height: 100%; transform: rotate(-90deg); }
@media (max-width: 720px) { width: 132px; height: 132px; }
`;
const gaugeFill = keyframes`
to { stroke-dashoffset: var(--gauge-target, 0); }
`;
export const GaugeTrack = styled.circle`
fill: none; stroke: currentColor; stroke-width: 6; opacity: 0.12;
`;
export const GaugeFill = styled.circle<{ scorePercent: number }>`
fill: none; stroke: currentColor; stroke-width: 6; stroke-linecap: round;
stroke-dasharray: 502.65;
--gauge-target: ${p => 502.65 * (1 - Math.min(1, Math.max(0, p.scorePercent / 100)))};
stroke-dashoffset: 502.65;
animation: ${gaugeFill} 1100ms cubic-bezier(0.2,0.8,0.2,1) 200ms forwards;
`;
export const GaugeCenter = styled.div`
position: absolute; inset: 0; display: flex; flex-direction: column;
align-items: center; justify-content: center;
animation: ${keyframes`from { opacity: 0; transform: scale(0.85); } to { opacity: 1; transform: scale(1); }`}
600ms cubic-bezier(0.2,0.8,0.2,1) 1100ms backwards;
`;
export const GaugeScore = styled.div`
font-size: 3.5rem; font-weight: 600; line-height: 1; letter-spacing: -0.04em; color: var(--fg-primary);
font-family: ${typography.fontFamily.primary};
@media (max-width: 720px) { font-size: 2.75rem; }
`;
export const GaugeOf = styled.div`
margin-top: 6px; font-size: 11px; letter-spacing: 0.12em; text-transform: uppercase;
color: var(--fg-subtle); font-weight: 500;
`;
export const HeadlineContent = styled.div`
flex: 1; min-width: 0; display: flex; flex-direction: column; gap: 16px; padding-top: 6px;
`;
export const HeadlineEyebrow = styled.div`
font-size: 10.5px; font-weight: 600; letter-spacing: 0.16em; text-transform: uppercase;
color: var(--fg-muted);
display: flex; align-items: center; gap: 8px;
&::before { content: ''; width: 18px; height: 1px; background: var(--border-strong); }
`;
export const CategoryRow = styled.div`
display: flex; align-items: center; gap: 12px; flex-wrap: wrap;
`;
export const CategoryIconBox = styled.span<{ accent: string }>`
display: inline-flex; align-items: center; justify-content: center;
width: 32px; height: 32px; border-radius: 10px;
background: ${p => p.accent}26; color: ${p => p.accent};
`;
export const CategoryName = styled.span`
font-size: 1.5rem; font-weight: 600; letter-spacing: -0.02em; color: var(--fg-primary);
@media (max-width: 720px) { font-size: 1.25rem; }
`;
export const CategoryDesc = styled.span`
font-size: 13px; color: var(--fg-secondary); display: flex; align-items: center; gap: 6px;
& .sep { opacity: 0.4; }
`;
export const TldrText = styled.p`
font-family: 'Merriweather', Georgia, serif; font-style: italic;
font-size: 1.125rem; line-height: 1.55; font-weight: 400;
color: var(--fg-primary); max-width: 60ch; margin: 0;
@media (max-width: 720px) { font-size: 1rem; font-style: normal; }
`;
/* ─── Tier 2 — ACTION CALLOUT ─── */
export const ActionCallout = styled.div<{ accent: string }>`
display: flex; gap: 20px; align-items: flex-start;
padding: 22px 26px;
background: linear-gradient(135deg, ${p => p.accent}29, ${p => p.accent}0f);
border: 1px solid ${p => p.accent}47;
border-radius: 16px;
[data-theme="light"] & {
background: linear-gradient(135deg, ${p => p.accent}1a, ${p => p.accent}0a);
}
`;
export const ActionIconBox = styled.span<{ accent: string }>`
flex-shrink: 0; display: inline-flex; align-items: center; justify-content: center;
width: 44px; height: 44px; border-radius: 14px;
background: ${p => p.accent}38; color: ${p => p.accent};
`;
export const ActionBody = styled.div`flex: 1; display: flex; flex-direction: column; gap: 4px;`;
export const ActionEyebrow = styled.div<{ accent: string }>`
font-size: 11px; font-weight: 700; letter-spacing: 0.12em; text-transform: uppercase;
color: ${p => p.accent};
`;
export const ActionHeadline = styled.div`
font-size: 1.25rem; font-weight: 600; color: var(--fg-primary); letter-spacing: -0.02em; line-height: 1.25;
@media (max-width: 720px) { font-size: 1.125rem; }
`;
export const ActionText = styled.div`
margin-top: 6px; font-size: 0.90625rem; line-height: 1.5;
color: var(--fg-secondary); max-width: 60ch;
`;
/* ─── SECTION DIVIDER ─── */
export const SectionDividerRow = styled.div`
display: flex; align-items: center; gap: 14px; padding: 14px 4px 6px;
`;
export const SectionDividerLabel = styled.span`
font-size: 10.5px; font-weight: 600; letter-spacing: 0.18em; text-transform: uppercase;
color: var(--fg-muted);
`;
export const SectionDividerLine = styled.span`
flex: 1; height: 1px; background: var(--border-subtle);
`;
export const SectionDividerCount = styled.span`
font-size: 11px; color: var(--fg-subtle); font-weight: 500;
`;
/* ─── FINDING CARD universal ─── */
export const FindingCardBox = styled.div<{ dominant?: boolean }>`
display: flex; gap: 16px;
padding: ${p => p.dominant ? '22px 24px' : '20px 22px'};
background: var(--bg-surface);
border: 1px solid ${p => p.dominant ? 'rgba(239,68,68,0.2)' : 'var(--border-subtle)'};
border-radius: 16px;
`;
export const FindingIconBox = styled.span<{ accent: string; lg?: boolean }>`
flex-shrink: 0; display: inline-flex; align-items: center; justify-content: center;
width: ${p => p.lg ? '40px' : '36px'};
height: ${p => p.lg ? '40px' : '36px'};
border-radius: ${p => p.lg ? '12px' : '11px'};
background: ${p => p.accent}1a; color: ${p => p.accent};
`;
export const FindingBody = styled.div`flex: 1; min-width: 0; display: flex; flex-direction: column; gap: 10px;`;
export const FindingEyebrow = styled.div`
font-size: 10.5px; font-weight: 600; letter-spacing: 0.12em; text-transform: uppercase;
color: var(--fg-muted);
`;
export const FindingHeadline = styled.div<{ dominant?: boolean }>`
font-size: ${p => p.dominant ? '1.03125rem' : '0.96875rem'};
line-height: 1.5; font-weight: 500;
color: var(--fg-primary); letter-spacing: -0.01em;
overflow-wrap: anywhere; word-break: break-word;
`;
export const FindingQuote = styled.p`
font-family: 'Merriweather', Georgia, serif; font-style: italic;
font-size: 0.875rem; line-height: 1.55; color: var(--fg-secondary);
padding-left: 14px; border-left: 2px solid var(--border-default);
max-width: 60ch; margin: 0;
overflow-wrap: anywhere; word-break: break-word;
`;
export const FindingSourceRow = styled.div`
display: flex; align-items: center; gap: 8px; flex-wrap: wrap;
font-size: 12.5px; color: var(--fg-muted); letter-spacing: -0.005em;
min-width: 0; max-width: 100%;
& .sep { color: var(--fg-subtle); }
& svg { flex-shrink: 0; }
`;
export const FindingSourceLink = styled.a`
color: var(--accent-text); text-decoration: none; font-weight: 500;
overflow-wrap: anywhere; word-break: break-all; max-width: 100%;
&:hover { text-decoration: underline; }
`;
export const StancePill = styled.span<{ stance: string }>`
font-size: 9.5px; font-weight: 700; padding: 2px 7px; border-radius: 4px;
text-transform: uppercase; letter-spacing: 0.04em; flex-shrink: 0;
background: ${p => p.stance === 'contradicts' ? 'rgba(239,68,68,0.12)' :
p.stance === 'supports' ? 'rgba(34,197,94,0.12)' :
'rgba(148,163,184,0.12)'};
color: ${p => p.stance === 'contradicts' ? '#ef4444' :
p.stance === 'supports' ? '#22c55e' :
'#94a3b8'};
`;
/* ─── COLLAPSE button ─── */
export const CollapseBtn = styled.button`
display: flex; align-items: center; justify-content: space-between; gap: 8px;
width: 100%; padding: 14px 20px; cursor: pointer;
background: var(--bg-surface); border: 1px solid var(--border-subtle);
border-radius: 14px; color: var(--fg-secondary);
font-family: inherit; font-size: 13px; font-weight: 500;
text-align: left; letter-spacing: -0.005em;
transition: all 0.18s ease;
&:hover { background: var(--bg-hover); color: var(--fg-primary); border-color: var(--border-default); }
`;
export const CollapseBtnLeft = styled.span`
display: flex; align-items: center; gap: 12px;
& svg { opacity: 0.7; }
`;
export const CollapseBtnChevron = styled.span<{ expanded: boolean }>`
display: inline-flex;
transition: transform 0.2s ease;
transform: rotate(${p => p.expanded ? '180deg' : '0deg'});
& svg { opacity: 0.6; }
`;
/* ─── STAT BLOCK (score bars + chips) ─── */
export const StatBlock = styled.div`
display: flex; flex-direction: column; gap: 16px;
padding: 22px 24px;
background: var(--bg-surface); border: 1px solid var(--border-subtle);
border-radius: 16px;
`;
export const ScoresBlock = styled.div`display: flex; flex-direction: column; gap: 10px;`;
export const ScoreLine = styled.div`display: flex; align-items: center; gap: 14px;`;
export const ScoreLineName = styled.span`
font-size: 13px; color: var(--fg-secondary); width: 110px; font-weight: 400;
letter-spacing: -0.005em;
@media (max-width: 600px) { width: 90px; }
`;
export const ScoreLineBar = styled.div`
flex: 1; height: 4px; background: var(--bg-active); border-radius: 2px; overflow: hidden;
`;
const barFill = keyframes`from { width: 0; }`;
export const ScoreLineFill = styled.div<{ width: number; color: string; delay?: number }>`
height: 100%; width: ${p => Math.min(p.width, 100)}%; background: ${p => p.color};
border-radius: 2px;
animation: ${barFill} 900ms cubic-bezier(0.2,0.8,0.2,1) backwards;
animation-delay: ${p => p.delay ?? 0}ms;
`;
export const ScoreLineNum = styled.span`
font-size: 13px; font-weight: 500; color: var(--fg-primary);
width: 40px; text-align: right; letter-spacing: -0.01em;
`;
export const ScoreLineSkipped = styled.span`
font-size: 13px; color: var(--fg-subtle); width: 40px; text-align: right;
`;
export const ChipsRow = styled.div`display: flex; gap: 6px; flex-wrap: wrap;`;
export const Chip = styled.span<{ variant?: 'critical' | 'warning' | 'success' | 'info' | 'violet' | 'neutral' }>`
font-size: 12px; font-weight: 400; padding: 5px 12px; border-radius: 999px;
display: inline-flex; align-items: center; gap: 6px; letter-spacing: -0.005em;
background: ${p => {
switch (p.variant) {
case 'critical': return 'rgba(239,68,68,0.12)';
case 'warning': return 'rgba(249,115,22,0.12)';
case 'success': return 'rgba(34,197,94,0.12)';
case 'info': return 'rgba(59,130,246,0.12)';
case 'violet': return 'var(--accent-subtle)';
case 'neutral': return 'rgba(148,163,184,0.12)';
default: return 'var(--accent-subtle)';
}
}};
color: ${p => {
switch (p.variant) {
case 'critical': return '#ef4444';
case 'warning': return '#f97316';
case 'success': return '#22c55e';
case 'info': return '#3b82f6';
case 'violet': return 'var(--accent-text)';
case 'neutral': return '#94a3b8';
default: return 'var(--accent-text)';
}
}};
`;
/* ─── LEGACY fallback (sesiuni vechi fără verdict_summary) ─── */
export const LegacyExplanation = styled.div`
font-family: 'Merriweather', Georgia, serif;
font-size: 0.875rem; line-height: 1.6; color: var(--fg-secondary);
padding: 16px 20px; background: var(--bg-surface);
border: 1px solid var(--border-subtle); border-radius: 16px;
`;

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export type InputType = 'text' | 'image' | 'audio' | 'video' | 'url';
export interface ComponentStatus {
status: 'pending' | 'running' | 'completed' | 'failed' | 'skipped';
duration_ms?: number;
}

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import type { InputType } from './types';
export const INPUT_TYPES: { key: InputType; labelKey: string; accept?: string }[] = [
{ key: 'text', labelKey: 'common.text' },
{ key: 'url', labelKey: 'common.url' },
{ key: 'image', labelKey: 'common.image', accept: 'image/jpeg,image/png,image/webp,image/gif' },
{ key: 'audio', labelKey: 'common.audio', accept: 'audio/mpeg,audio/wav,audio/ogg,audio/mp4' },
{ key: 'video', labelKey: 'common.video', accept: 'video/mp4,video/webm,video/ogg' },
];
export const COMPONENT_LABEL_KEYS: Record<string, string> = {
techniques: 'pipeline.componentNames.techniques',
ai_tampered: 'pipeline.componentNames.aiTamper',
claims: 'pipeline.componentNames.claims',
domain: 'pipeline.componentNames.domain',
source_assessment: 'pipeline.componentNames.source',
verdict: 'pipeline.componentNames.verdict',
};
export const COMPONENT_ORDER = ['ai_tampered', 'source_assessment', 'techniques', 'claims'];
export const RISK_COLORS: Record<string, string> = {
green: '#22c55e',
lightgreen: '#84cc16',
yellow: '#eab308',
orange: '#f97316',
red: '#ef4444',
darkred: '#dc2626',
};
export const STATUS_ICON: Record<string, string> = {
pending: '○',
running: '◎',
completed: '●',
failed: '✗',
skipped: '—',
};
export const SEVERITY_BG: Record<string, string> = {
critical: 'rgba(239,68,68,0.10)',
warning: 'rgba(249,115,22,0.10)',
info: 'rgba(59,130,246,0.08)',
};
export const SEVERITY_BORDER: Record<string, string> = {
critical: '#ef4444',
warning: '#f97316',
info: '#3b82f6',
};
export const SEVERITY_BG_LIGHT: Record<string, string> = {
critical: 'rgba(239,68,68,0.06)',
warning: 'rgba(249,115,22,0.06)',
info: 'rgba(59,130,246,0.05)',
};
export const formatTechName = (name: string) => {
const part = name.includes('.') ? name.split('.').pop()! : name;
return part.replace(/_/g, ' ').replace(/\b\w/g, c => c.toUpperCase());
};
export const formatFactorName = (factor: string) =>
factor.replace(/_/g, ' ').replace(/\b\w/g, c => c.toUpperCase());
export const getViralityColor = (score: number) =>
score >= 75 ? '#dc2626' : score >= 50 ? '#ef4444' : score >= 25 ? '#f97316' : '#22c55e';
export const getSeverityColor = (s: number) =>
s >= 70 ? '#ef4444' : s >= 40 ? '#f97316' : '#eab308';
export const getProbColor = (p: number) =>
p >= 80 ? '#ef4444' : p >= 60 ? '#f97316' : p >= 40 ? '#eab308' : '#22c55e';
export const getStanceColor = (s: string) =>
s === 'SUPPORTS' ? '#22c55e' : s === 'CONTRADICTS' ? '#ef4444' : '#94a3b8';
export const getStatusColor = (s: string) => {
if (s === 'verified_true' || s === 'VT') return '#22c55e';
if (s === 'verified_false' || s === 'VF_STATUS') return '#ef4444';
return '#94a3b8';
};
export const safeHostname = (url: string): string => {
try { return new URL(url).hostname; } catch { return url; }
};