diff --git a/.gitignore b/.gitignore
index f7340ff..a981dab 100644
--- a/.gitignore
+++ b/.gitignore
@@ -19,6 +19,8 @@ lib/
lib64/
# Allow frontend/lib/ (Next.js source — not a Python virtualenv)
!frontend/lib/
+# Allow mobile/lib/ (React Native source)
+!mobile/lib/
parts/
sdist/
var/
@@ -77,6 +79,15 @@ data/ledger.db
.DS_Store
Thumbs.db
+# Mobile / React Native
+mobile/node_modules/
+mobile/.expo/
+mobile/ios/
+mobile/android/
+mobile/dist/
+mobile/coverage/
+mobile/.env*.local
+
# Frontend / Node.js
frontend/node_modules/
frontend/.next/
diff --git a/mobile/__tests__/detectors/administrativeIntegrity.test.ts b/mobile/__tests__/detectors/administrativeIntegrity.test.ts
new file mode 100644
index 0000000..fe1f551
--- /dev/null
+++ b/mobile/__tests__/detectors/administrativeIntegrity.test.ts
@@ -0,0 +1,111 @@
+import { detectAdministrativeAnomalies } from '../../lib/analysis/detectors/administrativeIntegrity';
+import { NormalizedDocument } from '../../lib/analysis/types';
+
+describe('detectAdministrativeAnomalies', () => {
+ it('returns empty for non-object input', () => {
+ expect(detectAdministrativeAnomalies(null as any)).toEqual([]);
+ });
+
+ it('detects missing final_action with approval signal', () => {
+ const doc: NormalizedDocument = {
+ raw_text: 'The motion was approved by a unanimous vote.',
+ final_action: null,
+ };
+ const result = detectAdministrativeAnomalies(doc);
+ expect(result).toEqual(
+ expect.arrayContaining([
+ expect.objectContaining({
+ id: 'admin:missing-final-action',
+ severity: 'high',
+ layer: 'administrative',
+ }),
+ ])
+ );
+ });
+
+ it('does not flag final_action when present', () => {
+ const doc: NormalizedDocument = {
+ raw_text: 'The motion was approved.',
+ final_action: 'Approved',
+ };
+ const result = detectAdministrativeAnomalies(doc);
+ expect(result.find((a) => a.id === 'admin:missing-final-action')).toBeUndefined();
+ });
+
+ it('detects blank required fields', () => {
+ const doc: NormalizedDocument = {
+ raw_text: 'Some text',
+ final_action: 'Done',
+ status: '',
+ vote_result: null,
+ meeting_date: '2024-01-15',
+ agenda_number: '5',
+ };
+ const result = detectAdministrativeAnomalies(doc);
+ const anomaly = result.find((a) => a.id === 'admin:blank-required-fields');
+ expect(anomaly).toBeDefined();
+ expect(anomaly!.details.blank_fields).toEqual(expect.arrayContaining(['status', 'vote_result']));
+ });
+
+ it('detects retroactive authorization', () => {
+ const doc: NormalizedDocument = {
+ raw_text: 'The contract was ratified after the execution date.',
+ final_action: 'Done',
+ status: 'Complete',
+ vote_result: 'Yes',
+ meeting_date: '2024-01-01',
+ agenda_number: '1',
+ };
+ const result = detectAdministrativeAnomalies(doc);
+ expect(result).toEqual(
+ expect.arrayContaining([
+ expect.objectContaining({
+ id: 'admin:retroactive-authorization',
+ severity: 'high',
+ }),
+ ])
+ );
+ });
+
+ it('detects nunc pro tunc language', () => {
+ const doc: NormalizedDocument = {
+ raw_text: 'The order is entered nunc pro tunc to the original filing date.',
+ final_action: 'Entered',
+ status: 'Active',
+ vote_result: 'Yes',
+ meeting_date: '2024-01-01',
+ agenda_number: '1',
+ };
+ const result = detectAdministrativeAnomalies(doc);
+ expect(result.find((a) => a.id === 'admin:retroactive-authorization')).toBeDefined();
+ });
+
+ it('detects misfiling indicators', () => {
+ const doc: NormalizedDocument = {
+ raw_text: 'This item was misfiled under the wrong agenda category.',
+ final_action: 'Filed',
+ status: 'Active',
+ vote_result: 'NA',
+ meeting_date: '2024-01-01',
+ agenda_number: '1',
+ };
+ const result = detectAdministrativeAnomalies(doc);
+ expect(result).toEqual(
+ expect.arrayContaining([
+ expect.objectContaining({
+ id: 'admin:potential-misfiling',
+ severity: 'medium',
+ }),
+ ])
+ );
+ });
+
+ it('treats whitespace-only as blank', () => {
+ const doc: NormalizedDocument = {
+ raw_text: 'Meeting notes with approved actions.',
+ final_action: ' ',
+ };
+ const result = detectAdministrativeAnomalies(doc);
+ expect(result.find((a) => a.id === 'admin:missing-final-action')).toBeDefined();
+ });
+});
diff --git a/mobile/__tests__/detectors/auditEngine.test.ts b/mobile/__tests__/detectors/auditEngine.test.ts
new file mode 100644
index 0000000..94b85b8
--- /dev/null
+++ b/mobile/__tests__/detectors/auditEngine.test.ts
@@ -0,0 +1,72 @@
+import { analyzeDocument } from '../../lib/analysis/auditEngine';
+import { NormalizedDocument } from '../../lib/analysis/types';
+
+describe('analyzeDocument', () => {
+ it('returns expected structure', () => {
+ const doc: NormalizedDocument = { raw_text: 'Sample text' };
+ const result = analyzeDocument(doc);
+ expect(result).toHaveProperty('count');
+ expect(result).toHaveProperty('score');
+ expect(result).toHaveProperty('anomalies');
+ expect(typeof result.count).toBe('number');
+ expect(typeof result.score).toBe('number');
+ expect(Array.isArray(result.anomalies)).toBe(true);
+ });
+
+ it('returns perfect score for clean document', () => {
+ const doc: NormalizedDocument = {
+ raw_text: 'A simple document with no issues.',
+ provenance: { hash: 'sha256-valid' },
+ };
+ const result = analyzeDocument(doc);
+ expect(result.count).toBe(0);
+ expect(result.score).toBe(1.0);
+ });
+
+ it('detects fiscal anomalies', () => {
+ const doc: NormalizedDocument = {
+ raw_text: 'The cost is $1,000,000 for services.',
+ };
+ const result = analyzeDocument(doc);
+ expect(result.anomalies.some((a) => a.layer === 'fiscal')).toBe(true);
+ });
+
+ it('detects constitutional anomalies', () => {
+ const doc: NormalizedDocument = {
+ raw_text: 'The Secretary may determine the appropriate measures at their discretion.',
+ provenance: { hash: 'abc' },
+ };
+ const result = analyzeDocument(doc);
+ expect(result.anomalies.some((a) => a.layer === 'constitutional')).toBe(true);
+ });
+
+ it('detects surveillance anomalies', () => {
+ const doc: NormalizedDocument = {
+ raw_text: 'The surveillance monitoring system is operated by a contractor vendor.',
+ provenance: { hash: 'abc' },
+ };
+ const result = analyzeDocument(doc);
+ expect(result.anomalies.some((a) => a.layer === 'surveillance')).toBe(true);
+ });
+
+ it('score decreases with more anomalies', () => {
+ const cleanDoc: NormalizedDocument = {
+ raw_text: 'Clean document.',
+ provenance: { hash: 'abc' },
+ };
+ const dirtyDoc: NormalizedDocument = {
+ raw_text: 'The Secretary may determine at their discretion surveillance monitoring contractor.',
+ };
+ const cleanResult = analyzeDocument(cleanDoc);
+ const dirtyResult = analyzeDocument(dirtyDoc);
+ expect(dirtyResult.score).toBeLessThan(cleanResult.score);
+ });
+
+ it('handles empty document', () => {
+ const doc: NormalizedDocument = {};
+ const result = analyzeDocument(doc);
+ expect(result.count).toBeGreaterThanOrEqual(0);
+ expect(result.score).toBeLessThanOrEqual(1.0);
+ expect(result.score).toBeGreaterThanOrEqual(0.0);
+ });
+});
diff --git a/mobile/__tests__/detectors/constitutional.test.ts b/mobile/__tests__/detectors/constitutional.test.ts
new file mode 100644
index 0000000..14d8e2b
--- /dev/null
+++ b/mobile/__tests__/detectors/constitutional.test.ts
@@ -0,0 +1,55 @@
+import { detectConstitutionalAnomalies } from '../../lib/analysis/detectors/constitutional';
+import { NormalizedDocument } from '../../lib/analysis/types';
+
+describe('detectConstitutionalAnomalies', () => {
+ it('returns empty array for non-object input', () => {
+ expect(detectConstitutionalAnomalies(null as any)).toEqual([]);
+ });
+
+ it('returns empty for document with no text', () => {
+ const doc: NormalizedDocument = {};
+ expect(detectConstitutionalAnomalies(doc)).toEqual([]);
+ });
+
+ it('detects broad delegation without standards', () => {
+ const doc: NormalizedDocument = {
+ raw_text: 'The Secretary may determine the appropriate levels and the Director shall establish new rules.',
+ };
+ const result = detectConstitutionalAnomalies(doc);
+ expect(result).toEqual(
+ expect.arrayContaining([
+ expect.objectContaining({
+ id: 'constitutional:broad-delegation',
+ severity: 'medium',
+ layer: 'constitutional',
+ }),
+ ])
+ );
+ });
+
+ it('does not flag delegation when standards are present', () => {
+ const doc: NormalizedDocument = {
+ raw_text: 'The Secretary may determine levels subject to the standard criteria established by Congress.',
+ };
+ const result = detectConstitutionalAnomalies(doc);
+ expect(result.find((a) => a.id === 'constitutional:broad-delegation')).toBeUndefined();
+ });
+
+ it('detects "in their discretion" pattern', () => {
+ const doc: NormalizedDocument = {
+ raw_text: 'The Commissioner may act in their discretion to implement new policies.',
+ };
+ const result = detectConstitutionalAnomalies(doc);
+ expect(result.find((a) => a.id === 'constitutional:broad-delegation')).toBeDefined();
+ });
+
+ it('reports delegation_count in details', () => {
+ const doc: NormalizedDocument = {
+ raw_text: 'The Secretary may determine X. The Administrator shall prescribe Y.',
+ };
+ const result = detectConstitutionalAnomalies(doc);
+ const anomaly = result.find((a) => a.id === 'constitutional:broad-delegation');
+ expect(anomaly).toBeDefined();
+ expect(anomaly!.details.delegation_count).toBeGreaterThanOrEqual(2);
+ });
+});
diff --git a/mobile/__tests__/detectors/crossReference.test.ts b/mobile/__tests__/detectors/crossReference.test.ts
new file mode 100644
index 0000000..3f0445c
--- /dev/null
+++ b/mobile/__tests__/detectors/crossReference.test.ts
@@ -0,0 +1,81 @@
+import { detectCrossJurisdictionRefs, crossReferenceAudit } from '../../lib/analysis/detectors/crossReference';
+
+describe('detectCrossJurisdictionRefs', () => {
+ it('returns empty for text with no citations', () => {
+ expect(detectCrossJurisdictionRefs('No legal references here.')).toEqual([]);
+ });
+
+ it('detects USC + California cross-reference', () => {
+ const text = '42 U.S.C. § 1983 and Cal. Penal Code provisions apply.';
+ const result = detectCrossJurisdictionRefs(text);
+ expect(result).toEqual(
+ expect.arrayContaining([
+ expect.objectContaining({
+ type: 'federal_state_cross_reference',
+ severity: 'info',
+ }),
+ ])
+ );
+ });
+
+ it('detects CFR + California cross-reference', () => {
+ const text = '21 CFR § 50 and Cal. Civil Code provisions.';
+ const result = detectCrossJurisdictionRefs(text);
+ expect(result).toEqual(
+ expect.arrayContaining([
+ expect.objectContaining({
+ type: 'cfr_state_cross_reference',
+ }),
+ ])
+ );
+ });
+
+ it('does not flag only federal references', () => {
+ const text = '42 U.S.C. § 1983 and 18 U.S.C. § 1001.';
+ expect(detectCrossJurisdictionRefs(text)).toEqual([]);
+ });
+});
+
+describe('crossReferenceAudit', () => {
+ it('returns empty for empty docs list', () => {
+ expect(crossReferenceAudit([])).toEqual([]);
+ });
+
+ it('detects jurisdiction mismatch for federal doc with more state refs', () => {
+ const docs = [
+ {
+ id: 'doc-1',
+ text: 'Cal. Penal Code and Cal. Civil Code and Cal. Health Code but only 42 U.S.C. § 1983.',
+ jurisdiction: 'federal',
+ },
+ ];
+ const result = crossReferenceAudit(docs as any);
+ expect(result).toEqual(
+ expect.arrayContaining([
+ expect.objectContaining({
+ issue: 'jurisdiction_mismatch',
+ severity: 'warning',
+ }),
+ ])
+ );
+ });
+
+ it('detects jurisdiction mismatch for state doc with more federal refs', () => {
+ const docs = [
+ {
+ id: 'doc-2',
+ text: '42 U.S.C. § 1983, 18 U.S.C. § 1001, 21 CFR § 50, no state refs.',
+ jurisdiction: 'california',
+ },
+ ];
+ const result = crossReferenceAudit(docs as any);
+ expect(result).toEqual(
+ expect.arrayContaining([
+ expect.objectContaining({
+ issue: 'jurisdiction_mismatch',
+ severity: 'warning',
+ }),
+ ])
+ );
+ });
+});
diff --git a/mobile/__tests__/detectors/fiscal.test.ts b/mobile/__tests__/detectors/fiscal.test.ts
new file mode 100644
index 0000000..e768609
--- /dev/null
+++ b/mobile/__tests__/detectors/fiscal.test.ts
@@ -0,0 +1,113 @@
+import { detectFiscalAnomalies, FISCAL_AMOUNT_PATTERN, APPROPRIATION_KEYWORDS } from '../../lib/analysis/detectors/fiscal';
+import { NormalizedDocument } from '../../lib/analysis/types';
+
+describe('detectFiscalAnomalies', () => {
+ it('returns empty array for non-object input', () => {
+ expect(detectFiscalAnomalies(null as any)).toEqual([]);
+ expect(detectFiscalAnomalies(undefined as any)).toEqual([]);
+ });
+
+ it('detects missing provenance hash', () => {
+ const doc: NormalizedDocument = { raw_text: 'Some text' };
+ const result = detectFiscalAnomalies(doc);
+ expect(result).toEqual(
+ expect.arrayContaining([
+ expect.objectContaining({
+ id: 'fiscal:missing-provenance-hash',
+ severity: 'low',
+ layer: 'fiscal',
+ }),
+ ])
+ );
+ });
+
+ it('does not flag missing provenance when hash exists', () => {
+ const doc: NormalizedDocument = {
+ raw_text: 'Some text',
+ provenance: { hash: 'abc123' },
+ };
+ const result = detectFiscalAnomalies(doc);
+ expect(result.find((a) => a.id === 'fiscal:missing-provenance-hash')).toBeUndefined();
+ });
+
+ it('detects fiscal amounts without appropriation reference', () => {
+ const doc: NormalizedDocument = {
+ raw_text: 'The contract is worth $1,000,000 and $500,000 for services.',
+ provenance: { hash: 'abc123' },
+ };
+ const result = detectFiscalAnomalies(doc);
+ expect(result).toEqual(
+ expect.arrayContaining([
+ expect.objectContaining({
+ id: 'fiscal:amount-without-appropriation',
+ severity: 'medium',
+ layer: 'fiscal',
+ }),
+ ])
+ );
+ const amountAnomaly = result.find((a) => a.id === 'fiscal:amount-without-appropriation');
+ expect(amountAnomaly!.details.amount_count).toBe(2);
+ });
+
+ it('does not flag amounts when appropriation keyword present', () => {
+ const doc: NormalizedDocument = {
+ raw_text: 'The budget appropriation is $1,000,000.',
+ provenance: { hash: 'abc123' },
+ };
+ const result = detectFiscalAnomalies(doc);
+ expect(result.find((a) => a.id === 'fiscal:amount-without-appropriation')).toBeUndefined();
+ });
+
+ it('handles documents with sections', () => {
+ const doc: NormalizedDocument = {
+ sections: [
+ { content: 'The cost is $2,500,000.' },
+ { content: 'Additional $500,000 requested.' },
+ ],
+ provenance: { hash: 'abc123' },
+ };
+ const result = detectFiscalAnomalies(doc);
+ expect(result.find((a) => a.id === 'fiscal:amount-without-appropriation')).toBeDefined();
+ });
+
+ it('limits sample_amounts to 3', () => {
+ const doc: NormalizedDocument = {
+ raw_text: '$1,000 and $2,000 and $3,000 and $4,000 and $5,000 in the document.',
+ provenance: { hash: 'abc123' },
+ };
+ const result = detectFiscalAnomalies(doc);
+ const anomaly = result.find((a) => a.id === 'fiscal:amount-without-appropriation');
+ expect(anomaly).toBeDefined();
+ expect((anomaly!.details.sample_amounts as string[]).length).toBeLessThanOrEqual(3);
+ });
+
+ it('handles $1.5M format', () => {
+ const doc: NormalizedDocument = {
+ raw_text: 'Costs of $1.5M for the project.',
+ provenance: { hash: 'abc123' },
+ };
+ const result = detectFiscalAnomalies(doc);
+ expect(result.find((a) => a.id === 'fiscal:amount-without-appropriation')).toBeDefined();
+ });
+
+ it('returns empty for document with no text', () => {
+ const doc: NormalizedDocument = { provenance: { hash: 'abc123' } };
+ const result = detectFiscalAnomalies(doc);
+ expect(result.find((a) => a.id === 'fiscal:amount-without-appropriation')).toBeUndefined();
+ });
+
+ it('handles empty provenance object', () => {
+ const doc: NormalizedDocument = { raw_text: 'text', provenance: {} };
+ const result = detectFiscalAnomalies(doc);
+ expect(result.find((a) => a.id === 'fiscal:missing-provenance-hash')).toBeDefined();
+ });
+});
+
+describe('FISCAL_AMOUNT_PATTERN', () => {
+ it('matches standard dollar amounts', () => {
+ expect('$1,000,000'.match(new RegExp(FISCAL_AMOUNT_PATTERN.source, 'gi'))).toBeTruthy();
+ expect('$500.00'.match(new RegExp(FISCAL_AMOUNT_PATTERN.source, 'gi'))).toBeTruthy();
+ expect('$1.5M'.match(new RegExp(FISCAL_AMOUNT_PATTERN.source, 'gi'))).toBeTruthy();
+ expect('$2 Billion'.match(new RegExp(FISCAL_AMOUNT_PATTERN.source, 'gi'))).toBeTruthy();
+ });
+});
diff --git a/mobile/__tests__/detectors/governanceGap.test.ts b/mobile/__tests__/detectors/governanceGap.test.ts
new file mode 100644
index 0000000..2ce050b
--- /dev/null
+++ b/mobile/__tests__/detectors/governanceGap.test.ts
@@ -0,0 +1,68 @@
+import { detectGovernanceGapAnomalies } from '../../lib/analysis/detectors/governanceGap';
+import { NormalizedDocument } from '../../lib/analysis/types';
+
+describe('detectGovernanceGapAnomalies', () => {
+ it('returns empty for non-object input', () => {
+ expect(detectGovernanceGapAnomalies(null as any)).toEqual([]);
+ });
+
+ it('returns empty for document with no text', () => {
+ expect(detectGovernanceGapAnomalies({} as NormalizedDocument)).toEqual([]);
+ });
+
+ it('detects surveillance tech without governance (critical)', () => {
+ const doc: NormalizedDocument = {
+ raw_text: 'The ALPR facial recognition drone system is deployed citywide.',
+ };
+ const result = detectGovernanceGapAnomalies(doc);
+ expect(result).toEqual(
+ expect.arrayContaining([
+ expect.objectContaining({
+ id: 'governance:capability-without-policy',
+ severity: 'critical',
+ layer: 'governance',
+ }),
+ ])
+ );
+ });
+
+ it('detects data/AI capability without governance (high)', () => {
+ const doc: NormalizedDocument = {
+ raw_text: 'The automated machine learning report writing system processes data.',
+ };
+ const result = detectGovernanceGapAnomalies(doc);
+ const anomaly = result.find((a) => a.id === 'governance:capability-without-policy');
+ expect(anomaly?.severity).toBe('high');
+ });
+
+ it('does not flag when governance keywords present', () => {
+ const doc: NormalizedDocument = {
+ raw_text: 'The drone system operates under a privacy policy with oversight and council approval.',
+ };
+ const result = detectGovernanceGapAnomalies(doc);
+ expect(result.find((a) => a.id === 'governance:capability-without-policy')).toBeUndefined();
+ });
+
+ it('detects data retention gap', () => {
+ const doc: NormalizedDocument = {
+ raw_text: 'The data sharing and third-party access system stores all records with oversight.',
+ };
+ const result = detectGovernanceGapAnomalies(doc);
+ expect(result).toEqual(
+ expect.arrayContaining([
+ expect.objectContaining({
+ id: 'governance:data-retention-gap',
+ severity: 'high',
+ }),
+ ])
+ );
+ });
+
+ it('does not flag data retention gap when retention policy present', () => {
+ const doc: NormalizedDocument = {
+ raw_text: 'Data sharing operates under a retention policy with deletion policy guidelines.',
+ };
+ const result = detectGovernanceGapAnomalies(doc);
+ expect(result.find((a) => a.id === 'governance:data-retention-gap')).toBeUndefined();
+ });
+});
diff --git a/mobile/__tests__/detectors/pipeline.test.ts b/mobile/__tests__/detectors/pipeline.test.ts
new file mode 100644
index 0000000..27e35f8
--- /dev/null
+++ b/mobile/__tests__/detectors/pipeline.test.ts
@@ -0,0 +1,97 @@
+import { runFullAnalysis } from '../../lib/analysis/pipeline';
+
+describe('runFullAnalysis', () => {
+ it('returns complete result structure', () => {
+ const result = runFullAnalysis('Sample text', { title: 'Test' });
+ expect(result).toHaveProperty('metadata');
+ expect(result).toHaveProperty('findings');
+ expect(result).toHaveProperty('severity_score');
+ expect(result).toHaveProperty('lattice_score');
+ expect(result).toHaveProperty('coherence_bonus');
+ expect(result).toHaveProperty('flags');
+ expect(result).toHaveProperty('summary');
+ expect(result).toHaveProperty('timestamp');
+
+ expect(result.findings).toHaveProperty('fiscal');
+ expect(result.findings).toHaveProperty('constitutional');
+ expect(result.findings).toHaveProperty('surveillance');
+ });
+
+ it('includes jurisdiction when provided', () => {
+ const result = runFullAnalysis('Text', { title: 'Test' }, {
+ jurisdictionName: 'federal',
+ });
+ expect(result.jurisdiction).toBe('federal');
+ });
+
+ it('does not include jurisdiction when not provided', () => {
+ const result = runFullAnalysis('Text', { title: 'Test' });
+ expect(result.jurisdiction).toBeUndefined();
+ });
+
+ it('generates summary for clean document', () => {
+ const result = runFullAnalysis('A simple clean document.', {
+ title: 'Test',
+ hash: 'abc123',
+ });
+ expect(result.summary).toContain('No anomalies detected');
+ });
+
+ it('generates summary with anomaly counts', () => {
+ const result = runFullAnalysis(
+ 'The cost is $1,000,000 for the contractor vendor surveillance system.',
+ { title: 'Test' }
+ );
+ expect(result.summary).toContain('detected');
+ expect(result.summary).toContain('anomal');
+ });
+
+ it('severity_score is 0 for clean document', () => {
+ const result = runFullAnalysis('Clean text.', {
+ title: 'Test',
+ hash: 'abc',
+ });
+ expect(result.severity_score).toBe(0.0);
+ });
+
+ it('lattice_score is 1.0 for clean document with hash', () => {
+ const result = runFullAnalysis('Clean text.', {
+ title: 'Test',
+ hash: 'abc',
+ });
+ expect(result.lattice_score).toBe(1.0);
+ });
+
+ it('adds provenance when hash in metadata', () => {
+ const result = runFullAnalysis('Text.', {
+ title: 'Test',
+ hash: 'sha256-test',
+ });
+ // Should not have provenance hash missing anomaly in fiscal findings
+ const fiscalHashAnomaly = result.findings.fiscal.find(
+ (a) => a.id === 'fiscal:missing-provenance-hash'
+ );
+ expect(fiscalHashAnomaly).toBeUndefined();
+ });
+
+ it('flags high-severity anomalies', () => {
+ const result = runFullAnalysis(
+ 'surveillance monitoring tracking contractor vendor no safeguards.',
+ { title: 'Test', hash: 'abc' }
+ );
+ expect(result.flags.length).toBeGreaterThan(0);
+ });
+
+ it('timestamp is valid ISO string', () => {
+ const result = runFullAnalysis('Text', { title: 'Test' });
+ const date = new Date(result.timestamp);
+ expect(date.getTime()).not.toBeNaN();
+ });
+
+ it('handles singular anomaly word', () => {
+ // Create a document that generates exactly 1 anomaly
+ const result = runFullAnalysis('Clean document.', { title: 'Test', hash: 'x' });
+ // Score should be high
+ expect(result.lattice_score).toBeGreaterThan(0.5);
+ });
+});
diff --git a/mobile/__tests__/detectors/procurementTimeline.test.ts b/mobile/__tests__/detectors/procurementTimeline.test.ts
new file mode 100644
index 0000000..18b9143
--- /dev/null
+++ b/mobile/__tests__/detectors/procurementTimeline.test.ts
@@ -0,0 +1,89 @@
+import { detectProcurementTimelineAnomalies } from '../../lib/analysis/detectors/procurementTimeline';
+import { NormalizedDocument } from '../../lib/analysis/types';
+
+describe('detectProcurementTimelineAnomalies', () => {
+ it('returns empty for non-array input', () => {
+ expect(detectProcurementTimelineAnomalies(null as any)).toEqual([]);
+ expect(detectProcurementTimelineAnomalies('not an array' as any)).toEqual([]);
+ });
+
+ it('returns empty for empty array', () => {
+ expect(detectProcurementTimelineAnomalies([])).toEqual([]);
+ });
+
+ it('detects execution before authorization', () => {
+ const docs: NormalizedDocument[] = [
+ {
+ document_id: 'contract-1',
+ title: 'Service Agreement',
+ execution_date: '2024-01-15',
+ authorization_date: '2024-02-01',
+ },
+ ];
+ const result = detectProcurementTimelineAnomalies(docs);
+ expect(result).toEqual(
+ expect.arrayContaining([
+ expect.objectContaining({
+ id: 'procurement:execution-precedes-authorization',
+ severity: 'high',
+ layer: 'procurement',
+ }),
+ ])
+ );
+ expect(result[0].details.days_early).toBe(17);
+ });
+
+ it('does not flag when execution is after authorization', () => {
+ const docs: NormalizedDocument[] = [
+ {
+ execution_date: '2024-03-01',
+ authorization_date: '2024-02-01',
+ },
+ ];
+ expect(detectProcurementTimelineAnomalies(docs)).toEqual([]);
+ });
+
+ it('skips documents with missing dates', () => {
+ const docs: NormalizedDocument[] = [
+ { execution_date: '2024-01-15' },
+ { authorization_date: '2024-02-01' },
+ {},
+ ];
+ expect(detectProcurementTimelineAnomalies(docs)).toEqual([]);
+ });
+
+ it('skips non-object entries', () => {
+ expect(detectProcurementTimelineAnomalies([null as any, 'string' as any])).toEqual([]);
+ });
+
+ it('uses doc index as fallback ID', () => {
+ const docs: NormalizedDocument[] = [
+ {
+ execution_date: '2024-01-01',
+ authorization_date: '2024-06-01',
+ },
+ ];
+ const result = detectProcurementTimelineAnomalies(docs);
+ expect(result[0].details.document_id).toBe('doc[0]');
+ });
+
+ it('skips invalid date formats', () => {
+ const docs: NormalizedDocument[] = [
+ {
+ execution_date: 'not-a-date',
+ authorization_date: '2024-02-01',
+ },
+ ];
+ expect(detectProcurementTimelineAnomalies(docs)).toEqual([]);
+ });
+
+ it('handles same day execution and authorization', () => {
+ const docs: NormalizedDocument[] = [
+ {
+ execution_date: '2024-02-01',
+ authorization_date: '2024-02-01',
+ },
+ ];
+ expect(detectProcurementTimelineAnomalies(docs)).toEqual([]);
+ });
+});
diff --git a/mobile/__tests__/detectors/scalarCore.test.ts b/mobile/__tests__/detectors/scalarCore.test.ts
new file mode 100644
index 0000000..8bc6515
--- /dev/null
+++ b/mobile/__tests__/detectors/scalarCore.test.ts
@@ -0,0 +1,74 @@
+import { computeRecursiveScalarScore, SEVERITY_WEIGHTS } from '../../lib/analysis/scalarCore';
+import { Anomaly, NormalizedDocument } from '../../lib/analysis/types';
+
+describe('computeRecursiveScalarScore', () => {
+ const emptyDoc: NormalizedDocument = {};
+
+ it('returns 1.0 when no anomalies', () => {
+ expect(computeRecursiveScalarScore(emptyDoc, [])).toBe(1.0);
+ });
+
+ it('returns 1.0 for null/undefined anomalies', () => {
+ expect(computeRecursiveScalarScore(emptyDoc, null as any)).toBe(1.0);
+ });
+
+ it('reduces score based on severity weights', () => {
+ const anomalies: Anomaly[] = [
+ { id: 'test:1', issue: 'Test', severity: 'low', layer: 'test', details: {} },
+ ];
+ const score = computeRecursiveScalarScore(emptyDoc, anomalies);
+ expect(score).toBe(1.0 - SEVERITY_WEIGHTS.low);
+ });
+
+ it('accumulates penalties for multiple anomalies', () => {
+ const anomalies: Anomaly[] = [
+ { id: 'test:1', issue: 'Test', severity: 'high', layer: 'test', details: {} },
+ { id: 'test:2', issue: 'Test', severity: 'high', layer: 'test', details: {} },
+ ];
+ const score = computeRecursiveScalarScore(emptyDoc, anomalies);
+ expect(score).toBe(1.0 - SEVERITY_WEIGHTS.high * 2);
+ });
+
+ it('clamps score to minimum 0.0', () => {
+ const anomalies: Anomaly[] = Array.from({ length: 20 }, (_, i) => ({
+ id: `test:${i}`,
+ issue: 'Test',
+ severity: 'high' as const,
+ layer: 'test',
+ details: {},
+ }));
+ const score = computeRecursiveScalarScore(emptyDoc, anomalies);
+ expect(score).toBe(0.0);
+ });
+
+ it('applies coherence bonus for documents with provenance', () => {
+ const doc: NormalizedDocument = {
+ provenance: { hash: 'abc123' },
+ references: ['ref1'],
+ metadata: { key: 'value' },
+ };
+ const anomalies: Anomaly[] = [
+ { id: 'test:1', issue: 'Test', severity: 'high', layer: 'test', details: {} },
+ ];
+ const scoreWithBonus = computeRecursiveScalarScore(doc, anomalies);
+ const scoreWithoutBonus = computeRecursiveScalarScore(emptyDoc, anomalies);
+ expect(scoreWithBonus).toBeGreaterThan(scoreWithoutBonus);
+ });
+
+ it('uses default weight for unknown severity', () => {
+ const anomalies: Anomaly[] = [
+ { id: 'test:1', issue: 'Test', severity: 'unknown' as any, layer: 'test', details: {} },
+ ];
+ const score = computeRecursiveScalarScore(emptyDoc, anomalies);
+ // Default weight is 0.05 (same as medium)
+ expect(score).toBe(1.0 - 0.05);
+ });
+});
+
+describe('SEVERITY_WEIGHTS', () => {
+ it('has correct values matching Python implementation', () => {
+ expect(SEVERITY_WEIGHTS.low).toBe(0.02);
+ expect(SEVERITY_WEIGHTS.medium).toBe(0.05);
+ expect(SEVERITY_WEIGHTS.high).toBe(0.10);
+ });
+});
diff --git a/mobile/__tests__/detectors/scopeExpansion.test.ts b/mobile/__tests__/detectors/scopeExpansion.test.ts
new file mode 100644
index 0000000..2eb83fd
--- /dev/null
+++ b/mobile/__tests__/detectors/scopeExpansion.test.ts
@@ -0,0 +1,101 @@
+import { detectScopeExpansionAnomalies, parseDollarAmount } from '../../lib/analysis/detectors/scopeExpansion';
+import { NormalizedDocument } from '../../lib/analysis/types';
+
+describe('parseDollarAmount', () => {
+ it('parses standard amounts', () => {
+ expect(parseDollarAmount('$1,000,000')).toBe(1000000);
+ expect(parseDollarAmount('$500.00')).toBe(500);
+ });
+
+ it('parses M/B/T suffixes', () => {
+ expect(parseDollarAmount('$1.5M')).toBe(1500000);
+ expect(parseDollarAmount('$2B')).toBe(2000000000);
+ expect(parseDollarAmount('$1T')).toBe(1000000000000);
+ });
+
+ it('parses "illion" suffixes', () => {
+ expect(parseDollarAmount('$2 Million')).toBe(2000000);
+ expect(parseDollarAmount('$3 Billion')).toBe(3000000000);
+ });
+
+ it('returns null for invalid input', () => {
+ expect(parseDollarAmount('not a number')).toBeNull();
+ });
+});
+
+describe('detectScopeExpansionAnomalies', () => {
+ it('returns empty for non-object input', () => {
+ expect(detectScopeExpansionAnomalies(null as any)).toEqual([]);
+ });
+
+ it('returns empty when no amendment keywords', () => {
+ const doc: NormalizedDocument = {
+ raw_text: 'A standard contract for $1,000,000.',
+ };
+ expect(detectScopeExpansionAnomalies(doc)).toEqual([]);
+ });
+
+ it('detects significant expansion (>50%)', () => {
+ const doc: NormalizedDocument = {
+ raw_text: 'Amendment to original contract: $500,000 expanded to $1,000,000.',
+ };
+ const result = detectScopeExpansionAnomalies(doc);
+ expect(result).toEqual(
+ expect.arrayContaining([
+ expect.objectContaining({
+ id: 'scope:significant-expansion',
+ severity: 'high',
+ layer: 'scope',
+ }),
+ ])
+ );
+ const anomaly = result.find((a) => a.id === 'scope:significant-expansion');
+ expect(anomaly!.details.expansion_percentage).toBe(100);
+ });
+
+ it('detects amendment without baseline', () => {
+ const doc: NormalizedDocument = {
+ raw_text: 'This amendment modifies the terms of service.',
+ };
+ const result = detectScopeExpansionAnomalies(doc);
+ expect(result).toEqual(
+ expect.arrayContaining([
+ expect.objectContaining({
+ id: 'scope:amendment-without-baseline',
+ severity: 'medium',
+ }),
+ ])
+ );
+ });
+
+ it('does not flag amendment-without-baseline when baseline present', () => {
+ const doc: NormalizedDocument = {
+ raw_text: 'This amendment references the original contract terms.',
+ };
+ const result = detectScopeExpansionAnomalies(doc);
+ expect(result.find((a) => a.id === 'scope:amendment-without-baseline')).toBeUndefined();
+ });
+
+ it('detects sole-source expansion', () => {
+ const doc: NormalizedDocument = {
+ raw_text: 'This sole-source amendment extends the existing contract with the original contract.',
+ };
+ const result = detectScopeExpansionAnomalies(doc);
+ expect(result).toEqual(
+ expect.arrayContaining([
+ expect.objectContaining({
+ id: 'scope:sole-source-expansion',
+ severity: 'high',
+ }),
+ ])
+ );
+ });
+
+ it('detects single source pattern', () => {
+ const doc: NormalizedDocument = {
+ raw_text: 'This single source amendment to the original contract.',
+ };
+ const result = detectScopeExpansionAnomalies(doc);
+ expect(result.find((a) => a.id === 'scope:sole-source-expansion')).toBeDefined();
+ });
+});
diff --git a/mobile/__tests__/detectors/signatureChain.test.ts b/mobile/__tests__/detectors/signatureChain.test.ts
new file mode 100644
index 0000000..7153b5a
--- /dev/null
+++ b/mobile/__tests__/detectors/signatureChain.test.ts
@@ -0,0 +1,69 @@
+import { detectSignatureAnomalies } from '../../lib/analysis/detectors/signatureChain';
+import { NormalizedDocument } from '../../lib/analysis/types';
+
+describe('detectSignatureAnomalies', () => {
+ it('returns empty for non-object input', () => {
+ expect(detectSignatureAnomalies(null as any)).toEqual([]);
+ });
+
+ it('returns empty for document with no text', () => {
+ expect(detectSignatureAnomalies({} as NormalizedDocument)).toEqual([]);
+ });
+
+ it('detects unsigned instrument without dollar amounts (high severity)', () => {
+ const doc: NormalizedDocument = {
+ raw_text: 'This agreement contract is unsigned and requires signature.',
+ };
+ const result = detectSignatureAnomalies(doc);
+ expect(result).toEqual(
+ expect.arrayContaining([
+ expect.objectContaining({
+ id: 'signature:unsigned-instrument',
+ severity: 'high',
+ layer: 'signature',
+ }),
+ ])
+ );
+ });
+
+ it('detects unsigned instrument with dollar amounts (critical severity)', () => {
+ const doc: NormalizedDocument = {
+ raw_text: 'This contract for $1,000,000 has signature block blank.',
+ };
+ const result = detectSignatureAnomalies(doc);
+ const anomaly = result.find((a) => a.id === 'signature:unsigned-instrument');
+ expect(anomaly?.severity).toBe('critical');
+ });
+
+ it('does not flag when no instrument keywords present', () => {
+ const doc: NormalizedDocument = {
+ raw_text: 'This document is unsigned and pending review.',
+ };
+ const result = detectSignatureAnomalies(doc);
+ expect(result.find((a) => a.id === 'signature:unsigned-instrument')).toBeUndefined();
+ });
+
+ it('detects underscore signature lines', () => {
+ const doc: NormalizedDocument = {
+ raw_text: 'Signed: __________ for the MOU agreement.',
+ };
+ const result = detectSignatureAnomalies(doc);
+ expect(result.find((a) => a.id === 'signature:unsigned-instrument')).toBeDefined();
+ });
+
+ it('detects DocuSign pending', () => {
+ const doc: NormalizedDocument = {
+ raw_text: 'The PSA was sent via DocuSign and is still pending completion.',
+ };
+ const result = detectSignatureAnomalies(doc);
+ expect(result.find((a) => a.id === 'signature:unsigned-instrument')).toBeDefined();
+ });
+
+ it('returns empty when no gaps detected in instrument', () => {
+ const doc: NormalizedDocument = {
+ raw_text: 'This contract has been fully executed by all parties.',
+ };
+ const result = detectSignatureAnomalies(doc);
+ expect(result.find((a) => a.id === 'signature:unsigned-instrument')).toBeUndefined();
+ });
+});
diff --git a/mobile/__tests__/detectors/surveillance.test.ts b/mobile/__tests__/detectors/surveillance.test.ts
new file mode 100644
index 0000000..073d0f3
--- /dev/null
+++ b/mobile/__tests__/detectors/surveillance.test.ts
@@ -0,0 +1,68 @@
+import { detectSurveillanceAnomalies } from '../../lib/analysis/detectors/surveillance';
+import { NormalizedDocument } from '../../lib/analysis/types';
+
+describe('detectSurveillanceAnomalies', () => {
+ it('returns empty for non-object input', () => {
+ expect(detectSurveillanceAnomalies(null as any)).toEqual([]);
+ });
+
+ it('returns empty for document with no text', () => {
+ expect(detectSurveillanceAnomalies({} as NormalizedDocument)).toEqual([]);
+ });
+
+ it('detects outsourced surveillance without safeguards', () => {
+ const doc: NormalizedDocument = {
+ raw_text: 'The surveillance monitoring system will be operated by a contractor vendor.',
+ };
+ const result = detectSurveillanceAnomalies(doc);
+ expect(result).toEqual(
+ expect.arrayContaining([
+ expect.objectContaining({
+ id: 'surveillance:outsourced-without-safeguards',
+ severity: 'high',
+ layer: 'surveillance',
+ }),
+ ])
+ );
+ });
+
+ it('detects outsourced with safeguards (low severity)', () => {
+ const doc: NormalizedDocument = {
+ raw_text: 'The surveillance system operated by contractor requires a warrant and court order.',
+ };
+ const result = detectSurveillanceAnomalies(doc);
+ expect(result).toEqual(
+ expect.arrayContaining([
+ expect.objectContaining({
+ id: 'surveillance:outsourced-with-safeguards',
+ severity: 'low',
+ }),
+ ])
+ );
+ });
+
+ it('returns empty when only surveillance keywords present (no contractor)', () => {
+ const doc: NormalizedDocument = {
+ raw_text: 'The surveillance monitoring tracking system is active.',
+ };
+ expect(detectSurveillanceAnomalies(doc)).toEqual([]);
+ });
+
+ it('returns empty when only contractor keywords present (no surveillance)', () => {
+ const doc: NormalizedDocument = {
+ raw_text: 'The contractor vendor provides office supplies.',
+ };
+ expect(detectSurveillanceAnomalies(doc)).toEqual([]);
+ });
+
+ it('limits keyword arrays in details', () => {
+ const doc: NormalizedDocument = {
+ raw_text:
+ 'surveillance monitoring tracking biometric facial recognition data collection contractor vendor third party',
+ };
+ const result = detectSurveillanceAnomalies(doc);
+ const anomaly = result[0];
+ expect((anomaly.details.surveillance_keywords as string[]).length).toBeLessThanOrEqual(3);
+ expect((anomaly.details.contractor_keywords as string[]).length).toBeLessThanOrEqual(2);
+ });
+});
diff --git a/mobile/__tests__/storage/documentStore.test.ts b/mobile/__tests__/storage/documentStore.test.ts
new file mode 100644
index 0000000..e754268
--- /dev/null
+++ b/mobile/__tests__/storage/documentStore.test.ts
@@ -0,0 +1,114 @@
+import {
+ saveDocument,
+ getDocument,
+ listDocuments,
+ deleteDocument,
+ saveAnalysisResult,
+ getAnalysisResult,
+ getDocumentCount,
+ resetStorage,
+} from '../../lib/storage/documentStore';
+import { AnalysisResult } from '../../lib/analysis/types';
+
+describe('Document Storage', () => {
+ beforeEach(() => {
+ resetStorage();
+ });
+
+ describe('saveDocument', () => {
+ it('saves and returns a document with generated ID', async () => {
+ const doc = await saveDocument('Test Doc', 'Document text');
+ expect(doc.id).toBeTruthy();
+ expect(doc.title).toBe('Test Doc');
+ expect(doc.text).toBe('Document text');
+ expect(doc.createdAt).toBeTruthy();
+ });
+ });
+
+ describe('getDocument', () => {
+ it('retrieves a saved document', async () => {
+ const saved = await saveDocument('Test', 'Text');
+ const retrieved = await getDocument(saved.id);
+ expect(retrieved).not.toBeNull();
+ expect(retrieved!.id).toBe(saved.id);
+ expect(retrieved!.title).toBe('Test');
+ });
+
+ it('returns null for unknown ID', async () => {
+ const result = await getDocument('nonexistent');
+ expect(result).toBeNull();
+ });
+ });
+
+ describe('listDocuments', () => {
+ it('returns empty array initially', async () => {
+ const docs = await listDocuments();
+ expect(docs).toEqual([]);
+ });
+
+ it('lists documents newest first', async () => {
+ await saveDocument('Doc 1', 'Text 1');
+ await saveDocument('Doc 2', 'Text 2');
+ const docs = await listDocuments();
+ expect(docs.length).toBe(2);
+ expect(docs[0].title).toBe('Doc 2');
+ });
+ });
+
+ describe('deleteDocument', () => {
+ it('removes a document', async () => {
+ const saved = await saveDocument('Delete Me', 'Text');
+ await deleteDocument(saved.id);
+ const result = await getDocument(saved.id);
+ expect(result).toBeNull();
+ });
+
+ it('updates the document list', async () => {
+ const saved = await saveDocument('Delete Me', 'Text');
+ await deleteDocument(saved.id);
+ const docs = await listDocuments();
+ expect(docs.length).toBe(0);
+ });
+ });
+
+ describe('saveAnalysisResult / getAnalysisResult', () => {
+ it('saves and retrieves analysis results', async () => {
+ const mockResult: AnalysisResult = {
+ metadata: {},
+ findings: { fiscal: [], constitutional: [], surveillance: [] },
+ severity_score: 0,
+ lattice_score: 1.0,
+ coherence_bonus: 0,
+ flags: [],
+ summary: 'Clean',
+ timestamp: new Date().toISOString(),
+ };
+
+ const stored = await saveAnalysisResult('doc-1', mockResult);
+ expect(stored.documentId).toBe('doc-1');
+
+ const retrieved = await getAnalysisResult('doc-1');
+ expect(retrieved).not.toBeNull();
+ expect(retrieved!.result.summary).toBe('Clean');
+ });
+
+ it('returns null for unknown document', async () => {
+ const result = await getAnalysisResult('nonexistent');
+ expect(result).toBeNull();
+ });
+ });
+
+ describe('getDocumentCount', () => {
+ it('returns 0 initially', async () => {
+ const count = await getDocumentCount();
+ expect(count).toBe(0);
+ });
+
+ it('counts saved documents', async () => {
+ await saveDocument('Doc 1', 'Text 1');
+ await saveDocument('Doc 2', 'Text 2');
+ const count = await getDocumentCount();
+ expect(count).toBe(2);
+ });
+ });
+});
diff --git a/mobile/__tests__/textUtils.test.ts b/mobile/__tests__/textUtils.test.ts
new file mode 100644
index 0000000..b9272ef
--- /dev/null
+++ b/mobile/__tests__/textUtils.test.ts
@@ -0,0 +1,53 @@
+import { extractTextContent } from '../lib/analysis/textUtils';
+import { NormalizedDocument } from '../lib/analysis/types';
+
+describe('extractTextContent', () => {
+ it('extracts from raw_text', () => {
+ const doc: NormalizedDocument = { raw_text: 'Hello world' };
+ expect(extractTextContent(doc)).toBe('Hello world');
+ });
+
+ it('extracts from sections', () => {
+ const doc: NormalizedDocument = {
+ sections: [
+ { content: 'Section 1' },
+ { content: 'Section 2' },
+ ],
+ };
+ expect(extractTextContent(doc)).toBe('Section 1 Section 2');
+ });
+
+ it('combines raw_text and sections', () => {
+ const doc: NormalizedDocument = {
+ raw_text: 'Raw text',
+ sections: [{ content: 'Section content' }],
+ };
+ expect(extractTextContent(doc)).toBe('Raw text Section content');
+ });
+
+ it('returns empty string for empty document', () => {
+ const doc: NormalizedDocument = {};
+ expect(extractTextContent(doc)).toBe('');
+ });
+
+ it('handles non-string section content via String()', () => {
+ const doc: NormalizedDocument = {
+ sections: [{ content: 42 as any }],
+ };
+ expect(extractTextContent(doc)).toBe('42');
+ });
+
+ it('skips sections without content key', () => {
+ const doc: NormalizedDocument = {
+ sections: [{ section_id: 'no-content' } as any, { content: 'valid' }],
+ };
+ expect(extractTextContent(doc)).toBe('valid');
+ });
+
+ it('handles null sections gracefully', () => {
+ const doc: NormalizedDocument = {
+ sections: null as any,
+ };
+ expect(extractTextContent(doc)).toBe('');
+ });
+});
diff --git a/mobile/app.json b/mobile/app.json
new file mode 100644
index 0000000..1ef4e7f
--- /dev/null
+++ b/mobile/app.json
@@ -0,0 +1,41 @@
+{
+ "expo": {
+ "name": "ODIA",
+ "slug": "odia-mobile",
+ "version": "1.0.0",
+ "orientation": "portrait",
+ "icon": "./assets/icon.png",
+ "userInterfaceStyle": "automatic",
+ "splash": {
+ "image": "./assets/splash.png",
+ "resizeMode": "contain",
+ "backgroundColor": "#1a1a2e"
+ },
+ "assetBundlePatterns": ["**/*"],
+ "ios": {
+ "supportsTablet": true,
+ "bundleIdentifier": "com.odia.mobile",
+ "infoPlist": {
+ "NSCameraUsageDescription": "ODIA uses the camera to capture documents for analysis."
+ }
+ },
+ "android": {
+ "adaptiveIcon": {
+ "foregroundImage": "./assets/icon.png",
+ "backgroundColor": "#1a1a2e"
+ },
+ "package": "com.odia.mobile",
+ "permissions": ["CAMERA"]
+ },
+ "plugins": [
+ "expo-router",
+ [
+ "expo-camera",
+ {
+ "cameraPermission": "Allow ODIA to access your camera for document capture."
+ }
+ ]
+ ],
+ "scheme": "odia"
+ }
+}
diff --git a/mobile/app/_layout.tsx b/mobile/app/_layout.tsx
new file mode 100644
index 0000000..5615332
--- /dev/null
+++ b/mobile/app/_layout.tsx
@@ -0,0 +1,62 @@
+/**
+ * Root Layout.
+ *
+ * Configures navigation and global providers for the app.
+ */
+
+import React from 'react';
+import { Stack } from 'expo-router';
+import { StatusBar } from 'expo-status-bar';
+import { useColorScheme } from 'react-native';
+
+export default function RootLayout(): React.ReactElement {
+ const colorScheme = useColorScheme();
+ const isDark = colorScheme === 'dark';
+
+ return (
+ <>
+
+
+
+
+
+
+
+
+ );
+}
diff --git a/mobile/app/analyze.tsx b/mobile/app/analyze.tsx
new file mode 100644
index 0000000..2054efa
--- /dev/null
+++ b/mobile/app/analyze.tsx
@@ -0,0 +1,195 @@
+/**
+ * Analyze Screen.
+ *
+ * Allows users to input document text (via paste or camera capture)
+ * and run on-device analysis.
+ */
+
+import React, { useState, useCallback } from 'react';
+import {
+ View,
+ Text,
+ TextInput,
+ TouchableOpacity,
+ ScrollView,
+ StyleSheet,
+ useColorScheme,
+ Alert,
+ KeyboardAvoidingView,
+ Platform,
+} from 'react-native';
+import { useRouter } from 'expo-router';
+import { LoadingOverlay } from '../components/LoadingOverlay';
+import { runFullAnalysis } from '../lib/analysis/pipeline';
+import { saveDocument, saveAnalysisResult } from '../lib/storage';
+
+export default function AnalyzeScreen(): React.ReactElement {
+ const router = useRouter();
+ const colorScheme = useColorScheme();
+ const isDark = colorScheme === 'dark';
+
+ const [title, setTitle] = useState('');
+ const [documentText, setDocumentText] = useState('');
+ const [analyzing, setAnalyzing] = useState(false);
+
+ const handleAnalyze = useCallback(async () => {
+ if (!documentText.trim()) {
+ Alert.alert('Empty Document', 'Please enter or paste document text to analyze.');
+ return;
+ }
+
+ setAnalyzing(true);
+
+ try {
+ const docTitle = title.trim() || 'Untitled Document';
+ const metadata: Record = { title: docTitle };
+
+ // Run analysis (on-device, no network needed)
+ const result = runFullAnalysis(documentText, metadata);
+
+ // Save document and result
+ const savedDoc = await saveDocument(docTitle, documentText, metadata);
+ await saveAnalysisResult(savedDoc.id, result);
+
+ // Navigate to results
+ router.replace({
+ pathname: '/results',
+ params: { documentId: savedDoc.id },
+ });
+ } catch (error) {
+ Alert.alert(
+ 'Analysis Error',
+ 'An error occurred during analysis. Please try again.'
+ );
+ } finally {
+ setAnalyzing(false);
+ }
+ }, [title, documentText, router]);
+
+ return (
+
+
+
+ Document Title
+
+
+
+
+ Document Text
+
+
+
+
+
+ 🔍 Analyze Document
+
+
+
+
+ All analysis runs on-device. No data is sent to any server.
+
+
+
+
+
+ );
+}
+
+const styles = StyleSheet.create({
+ container: {
+ flex: 1,
+ },
+ scroll: {
+ flex: 1,
+ },
+ scrollContent: {
+ padding: 16,
+ paddingBottom: 32,
+ },
+ label: {
+ fontSize: 14,
+ fontWeight: '600',
+ marginBottom: 6,
+ marginTop: 12,
+ },
+ titleInput: {
+ borderWidth: 1,
+ borderRadius: 10,
+ padding: 12,
+ fontSize: 16,
+ },
+ textInput: {
+ borderWidth: 1,
+ borderRadius: 10,
+ padding: 12,
+ fontSize: 14,
+ minHeight: 200,
+ lineHeight: 20,
+ },
+ analyzeButton: {
+ backgroundColor: '#3b82f6',
+ borderRadius: 12,
+ padding: 16,
+ alignItems: 'center',
+ marginTop: 20,
+ },
+ analyzeButtonDisabled: {
+ opacity: 0.5,
+ },
+ analyzeButtonText: {
+ color: '#ffffff',
+ fontSize: 17,
+ fontWeight: '600',
+ },
+ hint: {
+ fontSize: 13,
+ textAlign: 'center',
+ marginTop: 16,
+ },
+});
diff --git a/mobile/app/index.tsx b/mobile/app/index.tsx
new file mode 100644
index 0000000..d7ffc54
--- /dev/null
+++ b/mobile/app/index.tsx
@@ -0,0 +1,145 @@
+/**
+ * Home Screen.
+ *
+ * Displays a list of analyzed documents and provides actions
+ * to add new documents for analysis.
+ */
+
+import React, { useState, useCallback } from 'react';
+import {
+ View,
+ Text,
+ FlatList,
+ TouchableOpacity,
+ StyleSheet,
+ useColorScheme,
+ RefreshControl,
+} from 'react-native';
+import { useRouter } from 'expo-router';
+import { EmptyState } from '../components/EmptyState';
+import { StoredDocument } from '../lib/analysis/types';
+
+export default function HomeScreen(): React.ReactElement {
+ const router = useRouter();
+ const colorScheme = useColorScheme();
+ const isDark = colorScheme === 'dark';
+ const [documents, setDocuments] = useState([]);
+ const [refreshing, setRefreshing] = useState(false);
+
+ const onRefresh = useCallback(async () => {
+ setRefreshing(true);
+ // Refresh document list from storage
+ try {
+ const { listDocuments } = await import('../lib/storage');
+ const docs = await listDocuments();
+ setDocuments(docs);
+ } catch {
+ // Storage not available
+ }
+ setRefreshing(false);
+ }, []);
+
+ const renderDocument = ({ item }: { item: StoredDocument }) => (
+
+ router.push({ pathname: '/results', params: { documentId: item.id } })
+ }
+ accessibilityRole="button"
+ accessibilityLabel={`Document: ${item.title}`}
+ >
+
+ {item.title}
+
+
+ {new Date(item.createdAt).toLocaleDateString()}
+
+
+ );
+
+ return (
+
+ {documents.length === 0 ? (
+
+ ) : (
+ item.id}
+ contentContainerStyle={styles.list}
+ refreshControl={
+
+ }
+ />
+ )}
+ router.push('/analyze')}
+ accessibilityRole="button"
+ accessibilityLabel="Add new document"
+ >
+ +
+
+
+ );
+}
+
+const styles = StyleSheet.create({
+ container: {
+ flex: 1,
+ },
+ list: {
+ padding: 16,
+ },
+ documentCard: {
+ borderRadius: 12,
+ padding: 16,
+ marginBottom: 12,
+ shadowColor: '#000',
+ shadowOffset: { width: 0, height: 1 },
+ shadowOpacity: 0.1,
+ shadowRadius: 4,
+ elevation: 2,
+ },
+ documentTitle: {
+ fontSize: 16,
+ fontWeight: '600',
+ marginBottom: 4,
+ },
+ documentDate: {
+ fontSize: 13,
+ },
+ fab: {
+ position: 'absolute',
+ right: 20,
+ bottom: 32,
+ width: 56,
+ height: 56,
+ borderRadius: 28,
+ backgroundColor: '#3b82f6',
+ justifyContent: 'center',
+ alignItems: 'center',
+ shadowColor: '#3b82f6',
+ shadowOffset: { width: 0, height: 4 },
+ shadowOpacity: 0.3,
+ shadowRadius: 8,
+ elevation: 5,
+ },
+ fabText: {
+ color: '#ffffff',
+ fontSize: 28,
+ fontWeight: '300',
+ lineHeight: 30,
+ },
+});
diff --git a/mobile/app/results.tsx b/mobile/app/results.tsx
new file mode 100644
index 0000000..046de63
--- /dev/null
+++ b/mobile/app/results.tsx
@@ -0,0 +1,225 @@
+/**
+ * Results Screen.
+ *
+ * Displays analysis results for a specific document with
+ * anomaly cards, scores, and summary.
+ */
+
+import React, { useState, useEffect } from 'react';
+import {
+ View,
+ Text,
+ ScrollView,
+ StyleSheet,
+ useColorScheme,
+} from 'react-native';
+import { useLocalSearchParams } from 'expo-router';
+import { AnomalyCard } from '../components/AnomalyCard';
+import { LoadingOverlay } from '../components/LoadingOverlay';
+import { EmptyState } from '../components/EmptyState';
+import { getAnalysisResult } from '../lib/storage';
+import { StoredAnalysisResult } from '../lib/analysis/types';
+
+export default function ResultsScreen(): React.ReactElement {
+ const { documentId } = useLocalSearchParams<{ documentId: string }>();
+ const colorScheme = useColorScheme();
+ const isDark = colorScheme === 'dark';
+
+ const [result, setResult] = useState(null);
+ const [loading, setLoading] = useState(true);
+
+ useEffect(() => {
+ async function loadResult() {
+ if (documentId) {
+ const stored = await getAnalysisResult(documentId);
+ setResult(stored);
+ }
+ setLoading(false);
+ }
+ loadResult();
+ }, [documentId]);
+
+ if (loading) {
+ return ;
+ }
+
+ if (!result) {
+ return (
+
+ );
+ }
+
+ const { findings, severity_score, lattice_score, summary, flags } =
+ result.result;
+ const allAnomalies = [
+ ...findings.fiscal,
+ ...findings.constitutional,
+ ...findings.surveillance,
+ ];
+
+ return (
+
+ {/* Summary Card */}
+
+
+ {summary}
+
+
+
+
+
+ Severity
+
+ 0.6
+ ? '#ef4444'
+ : severity_score > 0.3
+ ? '#f59e0b'
+ : '#22c55e',
+ },
+ ]}
+ >
+ {severity_score.toFixed(2)}
+
+
+
+
+ Confidence
+
+ 0.8
+ ? '#22c55e'
+ : lattice_score > 0.5
+ ? '#f59e0b'
+ : '#ef4444',
+ },
+ ]}
+ >
+ {lattice_score.toFixed(2)}
+
+
+
+
+ Findings
+
+
+ {allAnomalies.length}
+
+
+
+
+
+ {/* Flags */}
+ {flags.length > 0 && (
+
+
+ ⚠️ High-Priority Flags
+
+ {flags.map((flag, idx) => (
+
+ • {flag}
+
+ ))}
+
+ )}
+
+ {/* Anomalies */}
+ {allAnomalies.length > 0 ? (
+
+
+ Findings ({allAnomalies.length})
+
+ {allAnomalies.map((anomaly, idx) => (
+
+ ))}
+
+ ) : (
+
+ )}
+
+ );
+}
+
+const styles = StyleSheet.create({
+ container: {
+ flex: 1,
+ },
+ content: {
+ paddingBottom: 32,
+ },
+ summaryCard: {
+ margin: 16,
+ borderRadius: 12,
+ padding: 16,
+ shadowColor: '#000',
+ shadowOffset: { width: 0, height: 1 },
+ shadowOpacity: 0.1,
+ shadowRadius: 4,
+ elevation: 2,
+ },
+ summaryText: {
+ fontSize: 15,
+ lineHeight: 22,
+ marginBottom: 16,
+ },
+ scoreRow: {
+ flexDirection: 'row',
+ justifyContent: 'space-around',
+ },
+ scoreItem: {
+ alignItems: 'center',
+ },
+ scoreLabel: {
+ fontSize: 12,
+ fontWeight: '500',
+ marginBottom: 4,
+ },
+ scoreValue: {
+ fontSize: 24,
+ fontWeight: '700',
+ },
+ flagsSection: {
+ marginHorizontal: 16,
+ marginBottom: 16,
+ },
+ sectionTitle: {
+ fontSize: 16,
+ fontWeight: '700',
+ marginBottom: 8,
+ },
+ flagText: {
+ fontSize: 14,
+ lineHeight: 20,
+ marginBottom: 4,
+ },
+ anomaliesSection: {
+ marginBottom: 16,
+ },
+});
diff --git a/mobile/app/settings.tsx b/mobile/app/settings.tsx
new file mode 100644
index 0000000..9c12756
--- /dev/null
+++ b/mobile/app/settings.tsx
@@ -0,0 +1,125 @@
+/**
+ * Settings Screen.
+ *
+ * App configuration and information.
+ */
+
+import React from 'react';
+import {
+ View,
+ Text,
+ ScrollView,
+ StyleSheet,
+ useColorScheme,
+} from 'react-native';
+
+export default function SettingsScreen(): React.ReactElement {
+ const colorScheme = useColorScheme();
+ const isDark = colorScheme === 'dark';
+
+ return (
+
+
+
+ About ODIA Mobile
+
+
+ ODIA (Oraculus DI Auditor) is a legal document analysis platform that
+ detects anomalies in government and legislative documents.
+
+
+ All analysis runs completely on-device. No data is ever sent to
+ external servers.
+
+
+
+
+
+ Analysis Detectors
+
+ {[
+ 'Fiscal Trail Analyzer',
+ 'Constitutional Conformity',
+ 'Surveillance Outsourcing',
+ 'Procurement Timeline',
+ 'Governance Gap',
+ 'Signature Chain',
+ 'Administrative Integrity',
+ 'Scope Expansion',
+ 'Cross-Reference Auditor',
+ ].map((detector) => (
+
+ • {detector}
+
+ ))}
+
+
+
+
+ Version
+
+
+ 1.0.0
+
+
+ License: MIT
+
+
+
+ );
+}
+
+const styles = StyleSheet.create({
+ container: {
+ flex: 1,
+ },
+ content: {
+ padding: 16,
+ paddingBottom: 32,
+ },
+ section: {
+ borderRadius: 12,
+ padding: 16,
+ marginBottom: 16,
+ shadowColor: '#000',
+ shadowOffset: { width: 0, height: 1 },
+ shadowOpacity: 0.1,
+ shadowRadius: 4,
+ elevation: 2,
+ },
+ sectionTitle: {
+ fontSize: 17,
+ fontWeight: '700',
+ marginBottom: 8,
+ },
+ text: {
+ fontSize: 14,
+ lineHeight: 22,
+ marginBottom: 4,
+ },
+ listItem: {
+ fontSize: 14,
+ lineHeight: 24,
+ },
+});
diff --git a/mobile/babel.config.js b/mobile/babel.config.js
new file mode 100644
index 0000000..d872de3
--- /dev/null
+++ b/mobile/babel.config.js
@@ -0,0 +1,7 @@
+module.exports = function (api) {
+ api.cache(true);
+ return {
+ presets: ['babel-preset-expo'],
+ plugins: ['react-native-reanimated/plugin'],
+ };
+};
diff --git a/mobile/components/AnomalyCard.tsx b/mobile/components/AnomalyCard.tsx
new file mode 100644
index 0000000..8337ff1
--- /dev/null
+++ b/mobile/components/AnomalyCard.tsx
@@ -0,0 +1,137 @@
+/**
+ * AnomalyCard Component.
+ *
+ * Displays a single anomaly finding with severity indicator,
+ * description, and expandable details.
+ */
+
+import React, { useState } from 'react';
+import {
+ View,
+ Text,
+ TouchableOpacity,
+ StyleSheet,
+ useColorScheme,
+} from 'react-native';
+import { Anomaly } from '../lib/analysis/types';
+
+interface AnomalyCardProps {
+ anomaly: Anomaly;
+}
+
+const SEVERITY_COLORS: Record = {
+ critical: { bg: '#fef2f2', text: '#991b1b', border: '#fecaca' },
+ high: { bg: '#fff7ed', text: '#9a3412', border: '#fed7aa' },
+ medium: { bg: '#fffbeb', text: '#92400e', border: '#fde68a' },
+ low: { bg: '#f0fdf4', text: '#166534', border: '#bbf7d0' },
+};
+
+const SEVERITY_COLORS_DARK: Record = {
+ critical: { bg: '#450a0a', text: '#fca5a5', border: '#7f1d1d' },
+ high: { bg: '#431407', text: '#fdba74', border: '#7c2d12' },
+ medium: { bg: '#451a03', text: '#fcd34d', border: '#78350f' },
+ low: { bg: '#052e16', text: '#86efac', border: '#14532d' },
+};
+
+export function AnomalyCard({ anomaly }: AnomalyCardProps): React.ReactElement {
+ const [expanded, setExpanded] = useState(false);
+ const colorScheme = useColorScheme();
+ const isDark = colorScheme === 'dark';
+ const colors = isDark
+ ? SEVERITY_COLORS_DARK[anomaly.severity] || SEVERITY_COLORS_DARK.medium
+ : SEVERITY_COLORS[anomaly.severity] || SEVERITY_COLORS.medium;
+
+ return (
+ setExpanded(!expanded)}
+ activeOpacity={0.7}
+ accessibilityRole="button"
+ accessibilityLabel={`${anomaly.severity} severity: ${anomaly.issue}`}
+ accessibilityHint="Tap to expand details"
+ >
+
+
+
+
+ {anomaly.severity.toUpperCase()}
+
+
+
+ {anomaly.layer}
+
+
+
+ {anomaly.issue}
+
+
+ {anomaly.id}
+
+ {expanded && (
+
+
+ Details
+
+
+ {JSON.stringify(anomaly.details, null, 2)}
+
+
+ )}
+
+
+ );
+}
+
+const styles = StyleSheet.create({
+ card: {
+ borderWidth: 1,
+ borderRadius: 12,
+ padding: 16,
+ marginVertical: 6,
+ marginHorizontal: 16,
+ },
+ header: {
+ flexDirection: 'row',
+ alignItems: 'center',
+ marginBottom: 8,
+ },
+ severityBadge: {
+ paddingHorizontal: 8,
+ paddingVertical: 2,
+ borderRadius: 4,
+ marginRight: 8,
+ },
+ severityText: {
+ fontSize: 11,
+ fontWeight: '700',
+ letterSpacing: 0.5,
+ },
+ layer: {
+ fontSize: 12,
+ fontWeight: '500',
+ },
+ issue: {
+ fontSize: 15,
+ fontWeight: '600',
+ lineHeight: 20,
+ marginBottom: 4,
+ },
+ id: {
+ fontSize: 12,
+ fontFamily: 'monospace',
+ },
+ details: {
+ marginTop: 12,
+ paddingTop: 12,
+ borderTopWidth: 1,
+ },
+ detailsTitle: {
+ fontSize: 13,
+ fontWeight: '600',
+ marginBottom: 4,
+ },
+ detailsContent: {
+ fontSize: 12,
+ fontFamily: 'monospace',
+ lineHeight: 18,
+ },
+});
diff --git a/mobile/components/EmptyState.tsx b/mobile/components/EmptyState.tsx
new file mode 100644
index 0000000..7d80396
--- /dev/null
+++ b/mobile/components/EmptyState.tsx
@@ -0,0 +1,63 @@
+/**
+ * EmptyState Component.
+ *
+ * Displayed when there are no documents or results to show.
+ */
+
+import React from 'react';
+import { View, Text, StyleSheet, useColorScheme } from 'react-native';
+
+interface EmptyStateProps {
+ title: string;
+ message: string;
+ icon?: string;
+}
+
+export function EmptyState({
+ title,
+ message,
+ icon = '📄',
+}: EmptyStateProps): React.ReactElement {
+ const colorScheme = useColorScheme();
+ const isDark = colorScheme === 'dark';
+
+ return (
+
+ {icon}
+
+ {title}
+
+
+ {message}
+
+
+ );
+}
+
+const styles = StyleSheet.create({
+ container: {
+ flex: 1,
+ justifyContent: 'center',
+ alignItems: 'center',
+ padding: 32,
+ },
+ icon: {
+ fontSize: 48,
+ marginBottom: 16,
+ },
+ title: {
+ fontSize: 20,
+ fontWeight: '700',
+ marginBottom: 8,
+ textAlign: 'center',
+ },
+ message: {
+ fontSize: 15,
+ textAlign: 'center',
+ lineHeight: 22,
+ },
+});
diff --git a/mobile/components/LoadingOverlay.tsx b/mobile/components/LoadingOverlay.tsx
new file mode 100644
index 0000000..e77c055
--- /dev/null
+++ b/mobile/components/LoadingOverlay.tsx
@@ -0,0 +1,75 @@
+/**
+ * LoadingOverlay Component.
+ *
+ * Full-screen loading overlay with activity indicator and message.
+ */
+
+import React from 'react';
+import {
+ View,
+ Text,
+ ActivityIndicator,
+ StyleSheet,
+ useColorScheme,
+} from 'react-native';
+
+interface LoadingOverlayProps {
+ message?: string;
+ visible: boolean;
+}
+
+export function LoadingOverlay({
+ message = 'Analyzing...',
+ visible,
+}: LoadingOverlayProps): React.ReactElement | null {
+ if (!visible) return null;
+
+ const colorScheme = useColorScheme();
+ const isDark = colorScheme === 'dark';
+
+ return (
+
+
+
+
+ {message}
+
+
+
+ );
+}
+
+const styles = StyleSheet.create({
+ overlay: {
+ ...StyleSheet.absoluteFillObject,
+ backgroundColor: 'rgba(0, 0, 0, 0.5)',
+ justifyContent: 'center',
+ alignItems: 'center',
+ zIndex: 1000,
+ },
+ content: {
+ borderRadius: 16,
+ padding: 32,
+ alignItems: 'center',
+ shadowColor: '#000',
+ shadowOffset: { width: 0, height: 2 },
+ shadowOpacity: 0.25,
+ shadowRadius: 8,
+ elevation: 5,
+ },
+ message: {
+ marginTop: 16,
+ fontSize: 16,
+ fontWeight: '500',
+ },
+});
diff --git a/mobile/docs/DEVELOPMENT.md b/mobile/docs/DEVELOPMENT.md
new file mode 100644
index 0000000..94e7f32
--- /dev/null
+++ b/mobile/docs/DEVELOPMENT.md
@@ -0,0 +1,128 @@
+# ODIA Mobile — Development Guide
+
+## Development Environment Setup
+
+### Required Tools
+
+1. **Node.js 18+**: Download from [nodejs.org](https://nodejs.org/)
+2. **Expo CLI**: Included via `npx expo`
+3. **TypeScript**: Included in devDependencies
+4. **iOS Development** (macOS only):
+ - Xcode 15+ from the Mac App Store
+ - CocoaPods: `sudo gem install cocoapods`
+5. **Android Development**:
+ - Android Studio with SDK 34+
+ - Android Emulator or physical device
+
+### Project Setup
+
+```bash
+# Clone the repository
+git clone https://github.com/SynTechRev/ODIA.git
+cd ODIA/mobile
+
+# Install dependencies
+npm install
+
+# Start development
+npx expo start
+```
+
+## Project Structure
+
+### Analysis Engine (`lib/analysis/`)
+
+The analysis engine is a complete TypeScript port of the Python detectors in
+`src/oraculus_di_auditor/analysis/`. Each detector is a pure function that
+takes a normalized document and returns an array of anomaly records.
+
+**Key files:**
+- `types.ts` — All TypeScript interfaces and type definitions
+- `textUtils.ts` — Text extraction utility (mirrors `text_utils.py`)
+- `detectors/*.ts` — Individual detector implementations
+- `scalarCore.ts` — Recursive scalar confidence scoring
+- `auditEngine.ts` — Unified multi-detector runner
+- `pipeline.ts` — Full analysis pipeline with preprocessing
+
+### Storage Layer (`lib/storage/`)
+
+Uses a pluggable storage backend pattern:
+- **Production**: Inject `@react-native-async-storage/async-storage`
+- **Testing**: Uses built-in `InMemoryStorage`
+
+### OCR Module (`lib/ocr/`)
+
+Provides interfaces for camera capture and text recognition:
+- Camera permission management via `expo-camera`
+- Extensible OCR provider interface (ready for ML Kit integration)
+
+## Testing
+
+### Running Tests
+
+```bash
+# All tests
+npm test
+
+# Watch mode
+npx jest --watch
+
+# Coverage report
+npm run test:coverage
+
+# Single file
+npx jest __tests__/detectors/fiscal.test.ts
+```
+
+### Test Organization
+
+Tests mirror the source structure:
+- `__tests__/detectors/*.test.ts` — Detector unit tests
+- `__tests__/storage/*.test.ts` — Storage layer tests
+- `__tests__/textUtils.test.ts` — Utility tests
+
+### Writing Tests
+
+Follow existing patterns:
+1. Test null/invalid input handling
+2. Test positive detection (anomaly present)
+3. Test negative detection (no anomaly)
+4. Test edge cases (empty text, missing fields)
+5. Verify exact field values match Python output
+
+## Code Style
+
+- **TypeScript strict mode** enabled
+- **Named exports** preferred over default exports (except screens)
+- **Pure functions** for all detectors — no side effects
+- **Explicit types** — avoid `any` except in test assertions
+
+## Building for Production
+
+### iOS
+
+```bash
+npx expo build:ios
+# Or with EAS Build:
+npx eas build --platform ios
+```
+
+### Android
+
+```bash
+npx expo build:android
+# Or with EAS Build:
+npx eas build --platform android
+```
+
+## Troubleshooting
+
+### Common Issues
+
+**Metro bundler errors**: Clear cache with `npx expo start -c`
+
+**TypeScript errors**: Run `npm run typecheck` to see all type issues
+
+**Test failures**: Ensure you're running from the `mobile/` directory
+
+**iOS pod install failures**: Run `cd ios && pod install --repo-update`
diff --git a/mobile/docs/PORTING_GUIDE.md b/mobile/docs/PORTING_GUIDE.md
new file mode 100644
index 0000000..a403e9c
--- /dev/null
+++ b/mobile/docs/PORTING_GUIDE.md
@@ -0,0 +1,172 @@
+# Python → TypeScript Porting Guide
+
+This document describes the methodology used to port ODIA's Python analysis
+detectors to TypeScript for the mobile application.
+
+## Porting Methodology
+
+### 1. Function-by-Function Translation
+
+Each Python detector file maps 1:1 to a TypeScript file:
+
+| Python Source | TypeScript Port |
+|---------------|-----------------|
+| `analysis/fiscal.py` | `lib/analysis/detectors/fiscal.ts` |
+| `analysis/constitutional.py` | `lib/analysis/detectors/constitutional.ts` |
+| `analysis/surveillance.py` | `lib/analysis/detectors/surveillance.ts` |
+| `analysis/procurement_timeline.py` | `lib/analysis/detectors/procurementTimeline.ts` |
+| `analysis/governance_gap.py` | `lib/analysis/detectors/governanceGap.ts` |
+| `analysis/signature_chain.py` | `lib/analysis/detectors/signatureChain.ts` |
+| `analysis/administrative_integrity.py` | `lib/analysis/detectors/administrativeIntegrity.ts` |
+| `analysis/scope_expansion.py` | `lib/analysis/detectors/scopeExpansion.ts` |
+| `analysis/cross_reference.py` | `lib/analysis/detectors/crossReference.ts` |
+| `analysis/text_utils.py` | `lib/analysis/textUtils.ts` |
+| `analysis/scalar_core.py` | `lib/analysis/scalarCore.ts` |
+| `analysis/audit_engine.py` | `lib/analysis/auditEngine.ts` |
+| `analysis/pipeline.py` | `lib/analysis/pipeline.ts` |
+
+### 2. Naming Conventions
+
+| Python | TypeScript |
+|--------|------------|
+| `snake_case` functions | `camelCase` functions |
+| `UPPER_SNAKE_CASE` constants | `UPPER_SNAKE_CASE` constants |
+| `_private_function` | non-exported function |
+| `dict[str, Any]` | `Record` or typed interface |
+| `list[dict]` | `Anomaly[]` |
+| `str | None` | `string \| null` |
+
+### 3. Regex Translation
+
+Python `re` patterns translate directly to JavaScript RegExp:
+
+```python
+# Python
+PATTERN = re.compile(r"\b\d+\s+U\.?S\.?C\.?\s+§?\s*\d+", re.IGNORECASE)
+matches = PATTERN.findall(text)
+```
+
+```typescript
+// TypeScript
+const PATTERN = /\b\d+\s+U\.?S\.?C\.?\s+§?\s*\d+/gi;
+const matches = text.match(PATTERN) || [];
+```
+
+**Key differences:**
+- Python `re.IGNORECASE` → JavaScript `i` flag
+- Python `re.findall()` → JavaScript `String.match()` (with `g` flag)
+- Python `re.search()` → JavaScript `RegExp.exec()` or `RegExp.test()`
+- JavaScript global regex (`g` flag) requires `lastIndex` reset between uses
+
+### 4. Type System Mapping
+
+```python
+# Python
+def detect_fiscal_anomalies(doc: dict[str, Any]) -> list[dict[str, Any]]:
+```
+
+```typescript
+// TypeScript (with strong typing)
+function detectFiscalAnomalies(doc: NormalizedDocument): Anomaly[]
+```
+
+All anomalies use the `Anomaly` interface:
+```typescript
+interface Anomaly {
+ id: string;
+ issue: string;
+ severity: 'low' | 'medium' | 'high' | 'critical';
+ layer: string;
+ details: Record;
+}
+```
+
+### 5. Date Handling
+
+```python
+# Python
+from datetime import date
+date.fromisoformat(value.strip())
+(auth_date - exec_date).days
+```
+
+```typescript
+// TypeScript
+const date = new Date(value.trim() + 'T00:00:00Z');
+Math.round((authDate.getTime() - execDate.getTime()) / (1000 * 60 * 60 * 24));
+```
+
+**Key difference:** JavaScript `Date` constructor needs explicit UTC handling
+to avoid timezone-related inconsistencies with Python's `date.fromisoformat()`.
+
+### 6. Truthiness and Null Checks
+
+```python
+# Python
+if not isinstance(doc, dict):
+ return []
+if not prov.get("hash"):
+ ...
+```
+
+```typescript
+// TypeScript
+if (!doc || typeof doc !== 'object') {
+ return [];
+}
+if (!prov?.hash) {
+ ...
+}
+```
+
+Python's `isinstance(x, dict)` → TypeScript's `typeof x === 'object'` plus null check.
+
+### 7. List Comprehensions
+
+```python
+# Python
+found = [kw for kw in KEYWORDS if kw in text_lower]
+```
+
+```typescript
+// TypeScript
+const found = KEYWORDS.filter((kw) => textLower.includes(kw));
+```
+
+## Verification Approach
+
+### Output Comparison
+
+For each detector, unit tests verify:
+1. **Identical anomaly IDs** — Same `id` string (e.g., `"fiscal:missing-provenance-hash"`)
+2. **Identical severity levels** — Same severity classification
+3. **Identical layer names** — Same layer string
+4. **Same detection logic** — Same conditions trigger/suppress findings
+5. **Same details structure** — Same keys and value types in details
+
+### Test-Driven Porting
+
+1. Read the Python detector carefully
+2. Write TypeScript tests based on expected Python behavior
+3. Implement the TypeScript detector
+4. Verify tests pass
+5. Cross-check with Python tests in `tests/` directory
+
+## Known Deviations
+
+| Area | Python | TypeScript | Justification |
+|------|--------|------------|---------------|
+| Hash function | `hash(text) % 10**8` | `hashCode(text)` | Python's `hash()` is not deterministic across runs; both generate stable IDs |
+| DateTime | `datetime.now(UTC)` | `new Date()` | Both produce ISO 8601 timestamps; JS uses local TZ in `.toISOString()` which outputs UTC |
+| Type checking | `isinstance(doc, dict)` | `typeof doc === 'object'` | JavaScript has no `dict` type; object check is equivalent |
+| Regex global state | Stateless | Requires `lastIndex` reset | JavaScript regex with `g` flag maintains state; must reset between uses |
+
+## Adding New Detectors
+
+To add a new detector:
+
+1. Create `lib/analysis/detectors/newDetector.ts`
+2. Implement the detector as a pure function
+3. Add exports to `lib/analysis/detectors/index.ts` and `lib/analysis/index.ts`
+4. Create `__tests__/detectors/newDetector.test.ts`
+5. If integrated into the pipeline, update `auditEngine.ts` or `pipeline.ts`
diff --git a/mobile/docs/README.md b/mobile/docs/README.md
new file mode 100644
index 0000000..07a0c25
--- /dev/null
+++ b/mobile/docs/README.md
@@ -0,0 +1,123 @@
+# ODIA Mobile
+
+Native mobile application for the ODIA (Oraculus DI Auditor) legal document analysis platform, built with React Native and Expo.
+
+## Overview
+
+ODIA Mobile provides **complete on-device** legal document analysis. All nine Python analysis detectors have been ported to TypeScript and run entirely on the device — no network connection or server required.
+
+### Key Features
+
+- **Offline-first**: All analysis runs on-device with zero network requirements
+- **Full detector suite**: All 9 Python detectors ported to TypeScript with identical behavior
+- **Camera capture**: Document capture with OCR support (extensible)
+- **Secure storage**: All data stored locally using AsyncStorage + FileSystem
+- **Dark mode**: Full dark/light theme support following platform guidelines
+- **Accessibility**: VoiceOver/TalkBack support, proper ARIA labels
+
+### Analysis Detectors
+
+| Detector | Layer | Description |
+|----------|-------|-------------|
+| Fiscal Trail | `fiscal` | Gaps in appropriation and fiscal lineage |
+| Constitutional Conformity | `constitutional` | Unconstitutional delegation patterns |
+| Surveillance Outsourcing | `surveillance` | Private vendor surveillance risks |
+| Procurement Timeline | `procurement` | Contracts executed before authorization |
+| Governance Gap | `governance` | Capabilities without governance docs |
+| Signature Chain | `signature` | Unsigned or placeholder-signed documents |
+| Administrative Integrity | `administrative` | Missing actions, blank fields, misfiling |
+| Scope Expansion | `scope` | Amendment-as-procurement patterns |
+| Cross-Reference | `cross-ref` | Cross-jurisdiction legal conflicts |
+
+## Getting Started
+
+### Prerequisites
+
+- Node.js 18+
+- npm or yarn
+- Expo CLI (`npx expo`)
+- For iOS: Xcode 15+ and CocoaPods
+- For Android: Android Studio with SDK 34+
+
+### Installation
+
+```bash
+cd mobile
+npm install
+```
+
+### Development
+
+```bash
+# Start Expo dev server
+npx expo start
+
+# Run on iOS simulator
+npx expo start --ios
+
+# Run on Android emulator
+npx expo start --android
+```
+
+### Testing
+
+```bash
+# Run all tests
+npm test
+
+# Run with coverage
+npm run test:coverage
+
+# Run specific detector tests
+npx jest __tests__/detectors/fiscal.test.ts
+```
+
+### Type Checking
+
+```bash
+npm run typecheck
+```
+
+## Architecture
+
+```
+mobile/
+├── app/ # Expo Router screens
+│ ├── _layout.tsx # Root navigation layout
+│ ├── index.tsx # Home (document list)
+│ ├── analyze.tsx # Document input + analysis
+│ ├── results.tsx # Analysis results display
+│ └── settings.tsx # App settings
+├── components/ # Shared UI components
+│ ├── AnomalyCard.tsx # Anomaly finding display
+│ ├── LoadingOverlay.tsx # Loading indicator
+│ └── EmptyState.tsx # Empty state placeholder
+├── lib/ # Core logic
+│ ├── analysis/ # Analysis engine (Python port)
+│ │ ├── types.ts # TypeScript type definitions
+│ │ ├── textUtils.ts # Text extraction utility
+│ │ ├── scalarCore.ts # Recursive scalar scoring
+│ │ ├── auditEngine.ts # Unified analysis entry point
+│ │ ├── pipeline.ts # Full analysis pipeline
+│ │ └── detectors/ # Individual detector ports
+│ ├── storage/ # Offline storage layer
+│ └── ocr/ # Camera + OCR module
+├── __tests__/ # Test suite
+│ ├── detectors/ # Detector unit tests
+│ ├── storage/ # Storage tests
+│ └── textUtils.test.ts # Utility tests
+└── docs/ # Documentation
+```
+
+## Performance
+
+| Metric | Target | Notes |
+|--------|--------|-------|
+| Document analysis | <5s for 10-page | On-device processing |
+| App launch | <3s cold start | Optimized bundle |
+| Memory usage | <150MB | Analysis on-demand |
+| Battery impact | Minimal | No background processing |
+
+## License
+
+MIT — see [LICENSE](../LICENSE) in the repository root.
diff --git a/mobile/lib/analysis/auditEngine.ts b/mobile/lib/analysis/auditEngine.ts
new file mode 100644
index 0000000..182cdb0
--- /dev/null
+++ b/mobile/lib/analysis/auditEngine.ts
@@ -0,0 +1,36 @@
+/**
+ * Audit Intelligence Engine for ODIA Mobile.
+ *
+ * Provides a unified entry point to run multiple anomaly detectors over a
+ * normalized legislative document, returning structured, explainable findings.
+ *
+ * Direct port of src/oraculus_di_auditor/analysis/audit_engine.py
+ */
+
+import { Anomaly, AuditResult, NormalizedDocument } from './types';
+import { detectFiscalAnomalies } from './detectors/fiscal';
+import { detectConstitutionalAnomalies } from './detectors/constitutional';
+import { detectSurveillanceAnomalies } from './detectors/surveillance';
+import { computeRecursiveScalarScore } from './scalarCore';
+
+/**
+ * Run all anomaly detectors against a normalized document.
+ * Mirrors Python: analyze_document(doc)
+ */
+export function analyzeDocument(doc: NormalizedDocument): AuditResult {
+ const anomalies: Anomaly[] = [];
+
+ // Detectors should be side-effect-free and tolerant to missing fields.
+ anomalies.push(...detectFiscalAnomalies(doc));
+ anomalies.push(...detectConstitutionalAnomalies(doc));
+ anomalies.push(...detectSurveillanceAnomalies(doc));
+
+ // Compute a confidence-like score (1.0 is best) using scalar core.
+ const score = computeRecursiveScalarScore(doc, anomalies);
+
+ return {
+ count: anomalies.length,
+ score,
+ anomalies,
+ };
+}
diff --git a/mobile/lib/analysis/detectors/administrativeIntegrity.ts b/mobile/lib/analysis/detectors/administrativeIntegrity.ts
new file mode 100644
index 0000000..386b824
--- /dev/null
+++ b/mobile/lib/analysis/detectors/administrativeIntegrity.ts
@@ -0,0 +1,151 @@
+/**
+ * Administrative Integrity Detector.
+ *
+ * Detects administrative record-keeping failures in legislative management
+ * systems: missing final actions, blank required fields, misfiled documents,
+ * and retroactive authorizations.
+ * Direct port of src/oraculus_di_auditor/analysis/administrative_integrity.py
+ */
+
+import { Anomaly, NormalizedDocument } from '../types';
+import { extractTextContent } from '../textUtils';
+
+/** Required metadata fields that must be present and non-empty */
+export const REQUIRED_METADATA_FIELDS: string[] = [
+ 'final_action',
+ 'status',
+ 'vote_result',
+ 'meeting_date',
+ 'agenda_number',
+];
+
+/** Text signals of a completed/approved action */
+export const APPROVAL_SIGNALS: string[] = [
+ 'approved',
+ 'adopted',
+ 'passed',
+ 'enacted',
+ 'authorized',
+];
+
+/** Misfiling indicators */
+export const MISFILING_KEYWORDS: string[] = [
+ 'misfiled',
+ 'wrong agenda',
+ 'incorrect item',
+ 'clerical error',
+];
+
+/** Retroactive authorization patterns */
+const RETROACTIVE_PATTERN =
+ /\bretroactive\b|\bnunc\s+pro\s+tunc\b|\bratified\s+after\b|\bapproved\s+after\s+the\s+fact\b|\bback[\s-]dated\b|\beffective\s+prior\s+to\b/i;
+
+/**
+ * Return true if value is null, undefined, empty string, or whitespace-only.
+ * Mirrors Python: _is_blank(value)
+ */
+function isBlank(value: unknown): boolean {
+ if (value === null || value === undefined) {
+ return true;
+ }
+ if (typeof value === 'string') {
+ return value.trim().length === 0;
+ }
+ return false;
+}
+
+/**
+ * Identify administrative integrity anomalies in a normalized document.
+ * Mirrors Python: detect_administrative_anomalies(doc)
+ */
+export function detectAdministrativeAnomalies(doc: NormalizedDocument): Anomaly[] {
+ const anomalies: Anomaly[] = [];
+
+ if (!doc || typeof doc !== 'object') {
+ return anomalies;
+ }
+
+ // Check 1: Missing final_action despite approval signals in text
+ const finalAction = (doc as Record).final_action;
+ if (isBlank(finalAction)) {
+ const textContent = extractTextContent(doc);
+ const textLower = textContent ? textContent.toLowerCase() : '';
+ const hasApprovalSignal = APPROVAL_SIGNALS.some((sig) =>
+ textLower.includes(sig)
+ );
+
+ if (hasApprovalSignal) {
+ anomalies.push({
+ id: 'admin:missing-final-action',
+ issue:
+ 'Document text indicates approval but final_action field is blank',
+ severity: 'high',
+ layer: 'administrative',
+ details: {
+ final_action_value: finalAction ?? null,
+ approval_signals_found: APPROVAL_SIGNALS.filter((sig) =>
+ textLower.includes(sig)
+ ),
+ },
+ });
+ }
+ }
+
+ // Check 2: Blank required metadata fields
+ const blankFields = REQUIRED_METADATA_FIELDS.filter((f) =>
+ isBlank((doc as Record)[f])
+ );
+ const blankFieldsExcludingFinalAction = blankFields.filter(
+ (f) => f !== 'final_action'
+ );
+
+ if (blankFieldsExcludingFinalAction.length > 0) {
+ anomalies.push({
+ id: 'admin:blank-required-fields',
+ issue: 'Required metadata fields are blank or missing',
+ severity: 'medium',
+ layer: 'administrative',
+ details: {
+ blank_fields: blankFieldsExcludingFinalAction,
+ field_count: blankFieldsExcludingFinalAction.length,
+ },
+ });
+ }
+
+ // Check 3: Retroactive authorization language
+ const textContent = extractTextContent(doc);
+ if (textContent) {
+ const retroMatch = RETROACTIVE_PATTERN.exec(textContent);
+ if (retroMatch) {
+ anomalies.push({
+ id: 'admin:retroactive-authorization',
+ issue: 'Retroactive or back-dated authorization language detected',
+ severity: 'high',
+ layer: 'administrative',
+ details: {
+ matched_phrase: retroMatch[0],
+ position: retroMatch.index,
+ },
+ });
+ }
+
+ // Check 4: Misfiling indicators
+ const textLower = textContent.toLowerCase();
+ const misfilingFound = MISFILING_KEYWORDS.filter((kw) =>
+ textLower.includes(kw)
+ );
+ if (misfilingFound.length > 0) {
+ anomalies.push({
+ id: 'admin:potential-misfiling',
+ issue: 'Misfiling or document placement error indicator found',
+ severity: 'medium',
+ layer: 'administrative',
+ details: {
+ misfiling_indicators: misfilingFound,
+ },
+ });
+ }
+ }
+
+ return anomalies;
+}
diff --git a/mobile/lib/analysis/detectors/constitutional.ts b/mobile/lib/analysis/detectors/constitutional.ts
new file mode 100644
index 0000000..5edd234
--- /dev/null
+++ b/mobile/lib/analysis/detectors/constitutional.ts
@@ -0,0 +1,91 @@
+/**
+ * Constitutional Conformity Analyzer.
+ *
+ * Flags patterns suggestive of unconstitutional delegation or conflicts between
+ * statutes and constitutional constraints.
+ * Direct port of src/oraculus_di_auditor/analysis/constitutional.py
+ */
+
+import { Anomaly, NormalizedDocument } from '../types';
+import { extractTextContent } from '../textUtils';
+
+/** Delegation patterns indicating potentially problematic grants of authority */
+export const DELEGATION_PATTERNS: RegExp[] = [
+ /\b(?:Secretary|Administrator|Director|Commissioner)\s+(?:may|shall)\s+(?:determine|prescribe|establish|define)/gi,
+ /\b(?:as|in)\s+(?:the\s+)?(?:Secretary|Administrator|Director|Commissioner)\s+(?:deems?|determines?)/gi,
+ /\bsuch\s+(?:rules?|regulations?|standards?)\s+as\s+(?:may\s+be\s+)?(?:necessary|appropriate|desirable)/gi,
+ /\bin\s+(?:his|her|their)\s+discretion/gi,
+];
+
+/** Constitutional reference patterns */
+export const CONSTITUTIONAL_REFERENCE_PATTERN =
+ /\b(?:First|Second|Third|Fourth|Fifth|Sixth|Seventh|Eighth|Ninth|Tenth|Eleventh|Twelfth|Thirteenth|Fourteenth|Fifteenth|Sixteenth|Seventeenth|Eighteenth|Nineteenth|Twentieth|Twenty-First|Twenty-Second|Twenty-Third|Twenty-Fourth|Twenty-Fifth|Twenty-Sixth|Twenty-Seventh)\s+Amendment/gi;
+
+/** Keywords indicating limiting standards */
+const STANDARD_KEYWORDS: string[] = [
+ 'standard',
+ 'criteria',
+ 'guideline',
+ 'requirement',
+ 'limitation',
+ 'restriction',
+ 'subject to',
+ 'consistent with',
+ 'in accordance with',
+ 'pursuant to',
+];
+
+/**
+ * Check if text contains limiting standards or intelligible principles.
+ * Mirrors Python: _has_limiting_standards(text)
+ */
+function hasLimitingStandards(text: string): boolean {
+ const textLower = text.toLowerCase();
+ return STANDARD_KEYWORDS.some((keyword) => textLower.includes(keyword));
+}
+
+/**
+ * Identify constitutional anomalies in a normalized legislative document.
+ * Mirrors Python: detect_constitutional_anomalies(doc)
+ */
+export function detectConstitutionalAnomalies(doc: NormalizedDocument): Anomaly[] {
+ const anomalies: Anomaly[] = [];
+
+ if (!doc || typeof doc !== 'object') {
+ return anomalies;
+ }
+
+ const textContent = extractTextContent(doc);
+ if (!textContent) {
+ return anomalies;
+ }
+
+ // Check 1: Broad delegation without standards
+ const delegationMatches: string[] = [];
+ for (const pattern of DELEGATION_PATTERNS) {
+ pattern.lastIndex = 0;
+ const matches = textContent.match(pattern);
+ if (matches) {
+ delegationMatches.push(...matches);
+ }
+ }
+
+ if (delegationMatches.length > 0) {
+ const hasStandards = hasLimitingStandards(textContent);
+
+ if (!hasStandards) {
+ anomalies.push({
+ id: 'constitutional:broad-delegation',
+ issue: 'Broad delegation of authority without clear standards',
+ severity: 'medium',
+ layer: 'constitutional',
+ details: {
+ delegation_count: delegationMatches.length,
+ sample: delegationMatches.length > 0 ? delegationMatches[0] : '',
+ },
+ });
+ }
+ }
+
+ return anomalies;
+}
diff --git a/mobile/lib/analysis/detectors/crossReference.ts b/mobile/lib/analysis/detectors/crossReference.ts
new file mode 100644
index 0000000..9489201
--- /dev/null
+++ b/mobile/lib/analysis/detectors/crossReference.ts
@@ -0,0 +1,145 @@
+/**
+ * Cross-Reference Auditor for Legal Documents.
+ *
+ * Detects cross-jurisdiction references and potential conflicts between
+ * different legal corpora.
+ * Direct port of src/oraculus_di_auditor/analysis/cross_reference.py
+ */
+
+import { CrossReference, CrossReferenceAnomaly, NormalizedDocument } from '../types';
+
+/** Pattern definitions for common legal citations */
+export const CITATION_PATTERNS: Record = {
+ usc: /\b\d+\s+U\.?S\.?C\.?\s+§?\s*\d+/gi,
+ cfr: /\b\d+\s+C\.?F\.?R\.?\s+§?\s*\d+/gi,
+ cal_code: /\bCal\.?\s+\w+\.?\s+Code\b/gi,
+ pub_law: /\bPub\.?\s*L\.?\s+No\.?\s+\d+-\d+/gi,
+ stat: /\b\d+\s+Stat\.?\s+\d+/gi,
+};
+
+/**
+ * Detect references across different legal jurisdictions.
+ * Mirrors Python: detect_cross_jurisdiction_refs(text)
+ */
+export function detectCrossJurisdictionRefs(text: string): CrossReference[] {
+ const references: CrossReference[] = [];
+
+ // Check for each citation type
+ const detectedTypes: Record = {};
+ for (const [citeType, pattern] of Object.entries(CITATION_PATTERNS)) {
+ const regex = new RegExp(pattern.source, 'gi');
+ const matches: string[] = [];
+ let match: RegExpExecArray | null;
+ while ((match = regex.exec(text)) !== null) {
+ matches.push(match[0]);
+ }
+ if (matches.length > 0) {
+ detectedTypes[citeType] = matches;
+ }
+ }
+
+ // Identify cross-jurisdiction patterns
+ if ('usc' in detectedTypes && 'cal_code' in detectedTypes) {
+ references.push({
+ type: 'federal_state_cross_reference',
+ federal: detectedTypes.usc,
+ state: detectedTypes.cal_code,
+ severity: 'info',
+ description:
+ 'Document contains both federal (USC) and California state code references',
+ });
+ }
+
+ if ('cfr' in detectedTypes && 'cal_code' in detectedTypes) {
+ references.push({
+ type: 'cfr_state_cross_reference',
+ federal: detectedTypes.cfr,
+ state: detectedTypes.cal_code,
+ severity: 'info',
+ description:
+ 'Document contains both federal regulations (CFR) and California state code references',
+ });
+ }
+
+ return references;
+}
+
+/**
+ * Audit documents for cross-jurisdiction references and anomalies.
+ * Mirrors Python: cross_reference_audit(docs)
+ */
+export function crossReferenceAudit(
+ docs: NormalizedDocument[]
+): CrossReferenceAnomaly[] {
+ const anomalies: CrossReferenceAnomaly[] = [];
+
+ for (const doc of docs) {
+ const docId = doc.id || 'unknown';
+ const text = doc.text || '';
+ const jurisdiction = doc.jurisdiction || 'unknown';
+
+ // Detect cross-jurisdiction references
+ const crossRefs = detectCrossJurisdictionRefs(text);
+
+ for (const ref of crossRefs) {
+ const details: Record = {};
+ for (const [k, v] of Object.entries(ref)) {
+ if (k !== 'type' && k !== 'severity' && k !== 'description') {
+ details[k] = v;
+ }
+ }
+
+ anomalies.push({
+ id: docId,
+ jurisdiction,
+ issue: ref.type,
+ severity: ref.severity,
+ description: ref.description,
+ details,
+ });
+ }
+
+ // Additional checks for specific jurisdiction mismatches
+ if (jurisdiction === 'federal') {
+ const calCodePattern = new RegExp(CITATION_PATTERNS.cal_code.source, 'gi');
+ const uscPattern = new RegExp(CITATION_PATTERNS.usc.source, 'gi');
+ const cfrPattern = new RegExp(CITATION_PATTERNS.cfr.source, 'gi');
+
+ const stateMatches = text.match(calCodePattern) || [];
+ const federalMatches =
+ (text.match(uscPattern) || []).length +
+ (text.match(cfrPattern) || []).length;
+
+ if (stateMatches.length > 0 && stateMatches.length > federalMatches) {
+ anomalies.push({
+ id: docId,
+ jurisdiction,
+ issue: 'jurisdiction_mismatch',
+ severity: 'warning',
+ description: `Federal document contains more state references (${stateMatches.length}) than federal references (${federalMatches})`,
+ });
+ }
+ } else if (jurisdiction === 'california' || jurisdiction === 'state') {
+ const uscPattern = new RegExp(CITATION_PATTERNS.usc.source, 'gi');
+ const cfrPattern = new RegExp(CITATION_PATTERNS.cfr.source, 'gi');
+ const calCodePattern = new RegExp(CITATION_PATTERNS.cal_code.source, 'gi');
+
+ const federalMatches =
+ (text.match(uscPattern) || []).length +
+ (text.match(cfrPattern) || []).length;
+ const stateMatches = text.match(calCodePattern) || [];
+
+ if (federalMatches > stateMatches.length * 2) {
+ anomalies.push({
+ id: docId,
+ jurisdiction,
+ issue: 'jurisdiction_mismatch',
+ severity: 'warning',
+ description: `State document contains significantly more federal references (${federalMatches}) than state references (${stateMatches.length})`,
+ });
+ }
+ }
+ }
+
+ return anomalies;
+}
diff --git a/mobile/lib/analysis/detectors/fiscal.ts b/mobile/lib/analysis/detectors/fiscal.ts
new file mode 100644
index 0000000..69e2ef3
--- /dev/null
+++ b/mobile/lib/analysis/detectors/fiscal.ts
@@ -0,0 +1,74 @@
+/**
+ * Fiscal Trail Analyzer.
+ *
+ * Detects potential gaps or inconsistencies in appropriation and fiscal lineage.
+ * Direct port of src/oraculus_di_auditor/analysis/fiscal.py
+ */
+
+import { Anomaly, NormalizedDocument } from '../types';
+import { extractTextContent } from '../textUtils';
+
+/** Fiscal keywords indicating appropriation or budget references */
+export const APPROPRIATION_KEYWORDS: string[] = [
+ 'appropriation',
+ 'appropriated',
+ 'budget',
+ 'expenditure',
+ 'funding',
+ 'allocation',
+ 'fiscal year',
+];
+
+/** Fiscal amount pattern (e.g., $1,000,000 or $1M) */
+export const FISCAL_AMOUNT_PATTERN =
+ /\$\s*\d{1,3}(?:,\d{3})*(?:\.\d{2})?|\$\s*\d+(?:\.\d+)?\s*[MBT](?:illion)?/gi;
+
+/**
+ * Identify fiscal anomalies in a normalized legislative document.
+ * Mirrors Python: detect_fiscal_anomalies(doc)
+ */
+export function detectFiscalAnomalies(doc: NormalizedDocument): Anomaly[] {
+ const anomalies: Anomaly[] = [];
+
+ if (!doc || typeof doc !== 'object') {
+ return anomalies;
+ }
+
+ // Check 1: Provenance integrity
+ const prov = doc.provenance;
+ if (!prov || typeof prov !== 'object' || !prov.hash) {
+ anomalies.push({
+ id: 'fiscal:missing-provenance-hash',
+ issue: 'Provenance hash missing; integrity trail incomplete',
+ severity: 'low',
+ layer: 'fiscal',
+ details: { provenance_present: Boolean(prov) },
+ });
+ }
+
+ // Check 2: Appropriation trail - detect fiscal amounts without appropriation reference
+ const textContent = extractTextContent(doc);
+ if (textContent) {
+ // Reset regex lastIndex since it has the 'g' flag
+ FISCAL_AMOUNT_PATTERN.lastIndex = 0;
+ const fiscalAmounts = textContent.match(FISCAL_AMOUNT_PATTERN) || [];
+ const hasAppropriationRef = APPROPRIATION_KEYWORDS.some((keyword) =>
+ textContent.toLowerCase().includes(keyword)
+ );
+
+ if (fiscalAmounts.length > 0 && !hasAppropriationRef) {
+ anomalies.push({
+ id: 'fiscal:amount-without-appropriation',
+ issue: 'Fiscal amounts present without appropriation reference',
+ severity: 'medium',
+ layer: 'fiscal',
+ details: {
+ amount_count: fiscalAmounts.length,
+ sample_amounts: fiscalAmounts.slice(0, 3),
+ },
+ });
+ }
+ }
+
+ return anomalies;
+}
diff --git a/mobile/lib/analysis/detectors/governanceGap.ts b/mobile/lib/analysis/detectors/governanceGap.ts
new file mode 100644
index 0000000..9e9c0c2
--- /dev/null
+++ b/mobile/lib/analysis/detectors/governanceGap.ts
@@ -0,0 +1,174 @@
+/**
+ * Governance Gap Detector.
+ *
+ * Detects surveillance or monitoring capabilities deployed without
+ * governance documentation.
+ * Direct port of src/oraculus_di_auditor/analysis/governance_gap.py
+ */
+
+import { Anomaly, NormalizedDocument } from '../types';
+import { extractTextContent } from '../textUtils';
+
+/** Surveillance technology keywords — triggers critical severity when ungoverned */
+export const SURVEILLANCE_TECH_KEYWORDS: string[] = [
+ 'alpr',
+ 'license plate reader',
+ 'body camera',
+ 'bwc',
+ 'facial recognition',
+ 'drone',
+ 'uas',
+ 'real-time',
+ 'geofence',
+ 'cell site simulator',
+ 'stingray',
+ 'predictive policing',
+];
+
+/** Data-handling capabilities — triggers high severity when ungoverned */
+export const DATA_CAPABILITY_KEYWORDS: string[] = [
+ 'data sharing',
+ 'data retention',
+ 'cloud storage',
+ 'third-party access',
+ 'federal access',
+ 'interagency',
+];
+
+/** AI/automation capabilities — triggers high severity when ungoverned */
+export const AI_CAPABILITY_KEYWORDS: string[] = [
+ 'automated',
+ 'ai-generated',
+ 'machine learning',
+ 'draft one',
+ 'report writing',
+];
+
+/** All capability keywords combined */
+export const ALL_CAPABILITY_KEYWORDS: string[] = [
+ ...SURVEILLANCE_TECH_KEYWORDS,
+ ...DATA_CAPABILITY_KEYWORDS,
+ ...AI_CAPABILITY_KEYWORDS,
+];
+
+/** Governance keywords */
+export const GOVERNANCE_KEYWORDS: string[] = [
+ 'privacy policy',
+ 'use policy',
+ 'retention policy',
+ 'access control',
+ 'audit log',
+ 'oversight',
+ 'governance framework',
+ 'warrant',
+ 'court order',
+ 'probable cause',
+ 'privacy impact assessment',
+ 'civil liberties',
+ 'cjis',
+ 'public hearing',
+ 'council approval',
+ 'community input',
+ 'transparency report',
+];
+
+/** Retention-specific governance keywords */
+export const RETENTION_GOVERNANCE_KEYWORDS: string[] = [
+ 'retention policy',
+ 'data retention policy',
+ 'retention schedule',
+ 'purge',
+ 'deletion policy',
+];
+
+/** Data sharing/retention capability keywords */
+export const DATA_SHARING_RETENTION_KEYWORDS: string[] = [
+ 'data sharing',
+ 'data retention',
+ 'third-party access',
+ 'federal access',
+ 'interagency',
+];
+
+/**
+ * Identify governance gap anomalies in a normalized document.
+ * Mirrors Python: detect_governance_gap_anomalies(doc)
+ */
+export function detectGovernanceGapAnomalies(doc: NormalizedDocument): Anomaly[] {
+ const anomalies: Anomaly[] = [];
+
+ if (!doc || typeof doc !== 'object') {
+ return anomalies;
+ }
+
+ const textContent = extractTextContent(doc);
+ if (!textContent) {
+ return anomalies;
+ }
+
+ const textLower = textContent.toLowerCase();
+
+ // Identify which capability and governance keywords are present
+ const surveillanceFound = SURVEILLANCE_TECH_KEYWORDS.filter((kw) =>
+ textLower.includes(kw)
+ );
+ const dataFound = DATA_CAPABILITY_KEYWORDS.filter((kw) =>
+ textLower.includes(kw)
+ );
+ const aiFound = AI_CAPABILITY_KEYWORDS.filter((kw) =>
+ textLower.includes(kw)
+ );
+ const capabilitiesFound = [...surveillanceFound, ...dataFound, ...aiFound];
+
+ const governanceFound = GOVERNANCE_KEYWORDS.filter((kw) =>
+ textLower.includes(kw)
+ );
+ const governanceMissing = GOVERNANCE_KEYWORDS.filter(
+ (kw) => !textLower.includes(kw)
+ );
+
+ // Check 1: Capabilities present without governance documentation
+ if (capabilitiesFound.length > 0 && governanceFound.length === 0) {
+ const severity = surveillanceFound.length > 0 ? 'critical' : 'high';
+ anomalies.push({
+ id: 'governance:capability-without-policy',
+ issue:
+ 'Surveillance or monitoring capability deployed without governance documentation',
+ severity: severity as 'critical' | 'high',
+ layer: 'governance',
+ details: {
+ capabilities_found: capabilitiesFound,
+ governance_keywords_missing: governanceMissing,
+ capability_count: capabilitiesFound.length,
+ governance_count: 0,
+ },
+ });
+ }
+
+ // Check 2: Data sharing or retention present without retention policy
+ const dataSharingPresent = DATA_SHARING_RETENTION_KEYWORDS.some((kw) =>
+ textLower.includes(kw)
+ );
+ const retentionPolicyPresent = RETENTION_GOVERNANCE_KEYWORDS.some((kw) =>
+ textLower.includes(kw)
+ );
+
+ if (dataSharingPresent && !retentionPolicyPresent) {
+ const dataKeywordsFound = DATA_SHARING_RETENTION_KEYWORDS.filter((kw) =>
+ textLower.includes(kw)
+ );
+ anomalies.push({
+ id: 'governance:data-retention-gap',
+ issue:
+ 'Data sharing or retention capability found without retention policy reference',
+ severity: 'high',
+ layer: 'governance',
+ details: {
+ data_keywords_found: dataKeywordsFound,
+ retention_keywords_checked: RETENTION_GOVERNANCE_KEYWORDS,
+ },
+ });
+ }
+
+ return anomalies;
+}
diff --git a/mobile/lib/analysis/detectors/index.ts b/mobile/lib/analysis/detectors/index.ts
new file mode 100644
index 0000000..e147c38
--- /dev/null
+++ b/mobile/lib/analysis/detectors/index.ts
@@ -0,0 +1,13 @@
+/**
+ * All detector exports.
+ */
+
+export { detectFiscalAnomalies } from './fiscal';
+export { detectConstitutionalAnomalies } from './constitutional';
+export { detectSurveillanceAnomalies } from './surveillance';
+export { detectProcurementTimelineAnomalies } from './procurementTimeline';
+export { detectGovernanceGapAnomalies } from './governanceGap';
+export { detectSignatureAnomalies } from './signatureChain';
+export { detectAdministrativeAnomalies } from './administrativeIntegrity';
+export { detectScopeExpansionAnomalies } from './scopeExpansion';
+export { detectCrossJurisdictionRefs, crossReferenceAudit } from './crossReference';
diff --git a/mobile/lib/analysis/detectors/procurementTimeline.ts b/mobile/lib/analysis/detectors/procurementTimeline.ts
new file mode 100644
index 0000000..7d6184f
--- /dev/null
+++ b/mobile/lib/analysis/detectors/procurementTimeline.ts
@@ -0,0 +1,90 @@
+/**
+ * Procurement Timeline Detector.
+ *
+ * Detects contract execution dates that precede council authorization dates.
+ * Direct port of src/oraculus_di_auditor/analysis/procurement_timeline.py
+ */
+
+import { Anomaly, NormalizedDocument } from '../types';
+
+/**
+ * Parse an ISO-format date string (YYYY-MM-DD) into a Date object.
+ * Returns null on any parse failure.
+ * Mirrors Python: _parse_date(value)
+ */
+function parseDate(value: unknown): Date | null {
+ if (typeof value !== 'string') {
+ return null;
+ }
+ const trimmed = value.trim();
+ // Validate ISO date format YYYY-MM-DD
+ if (!/^\d{4}-\d{2}-\d{2}$/.test(trimmed)) {
+ return null;
+ }
+ const date = new Date(trimmed + 'T00:00:00Z');
+ if (isNaN(date.getTime())) {
+ return null;
+ }
+ return date;
+}
+
+/**
+ * Identify contracts executed before council authorization.
+ * Mirrors Python: detect_procurement_timeline_anomalies(documents)
+ *
+ * Note: This detector takes a LIST of documents, unlike most others.
+ */
+export function detectProcurementTimelineAnomalies(
+ documents: NormalizedDocument[]
+): Anomaly[] {
+ const anomalies: Anomaly[] = [];
+
+ if (!Array.isArray(documents)) {
+ return anomalies;
+ }
+
+ for (let idx = 0; idx < documents.length; idx++) {
+ const doc = documents[idx];
+ if (!doc || typeof doc !== 'object') {
+ continue;
+ }
+
+ const docId =
+ (doc as Record).document_id ||
+ doc.id ||
+ `doc[${idx}]`;
+ const title = doc.title || '';
+
+ const execRaw = doc.execution_date;
+ const authRaw = doc.authorization_date;
+
+ const execDate = parseDate(execRaw);
+ const authDate = parseDate(authRaw);
+
+ // Skip documents with missing or unparseable dates
+ if (execDate === null || authDate === null) {
+ continue;
+ }
+
+ if (execDate < authDate) {
+ const deltaDays = Math.round(
+ (authDate.getTime() - execDate.getTime()) / (1000 * 60 * 60 * 24)
+ );
+ anomalies.push({
+ id: 'procurement:execution-precedes-authorization',
+ issue: `Contract executed ${deltaDays} day(s) before council authorization`,
+ severity: 'high',
+ layer: 'procurement',
+ details: {
+ document_id: docId,
+ title: title,
+ execution_date: execRaw,
+ authorization_date: authRaw,
+ days_early: deltaDays,
+ },
+ });
+ }
+ }
+
+ return anomalies;
+}
diff --git a/mobile/lib/analysis/detectors/scopeExpansion.ts b/mobile/lib/analysis/detectors/scopeExpansion.ts
new file mode 100644
index 0000000..9cb7d5e
--- /dev/null
+++ b/mobile/lib/analysis/detectors/scopeExpansion.ts
@@ -0,0 +1,159 @@
+/**
+ * Scope Expansion Detector.
+ *
+ * Detects the "amendment-as-procurement" pattern: contract amendments or renewals
+ * that expand significantly beyond the original authorization scope.
+ * Direct port of src/oraculus_di_auditor/analysis/scope_expansion.py
+ */
+
+import { Anomaly, NormalizedDocument } from '../types';
+import { extractTextContent } from '../textUtils';
+import { FISCAL_AMOUNT_PATTERN } from './fiscal';
+
+/** Amendment / renewal instrument keywords */
+export const AMENDMENT_KEYWORDS: string[] = [
+ 'amendment',
+ 'renewal',
+ 'extension',
+ 'modification',
+ 'change order',
+ 'supplemental',
+ 'addendum',
+];
+
+/** Original authorization / baseline reference keywords */
+export const BASELINE_KEYWORDS: string[] = [
+ 'original contract',
+ 'base contract',
+ 'initial authorization',
+ 'approved amount',
+ 'not to exceed',
+];
+
+/** Sole-source procurement pattern */
+const SOLE_SOURCE_PATTERN = /\bsole[\s-]source\b|\bsingle\s+source\b/i;
+
+/** Multiplier map for M/B/T suffixes */
+const SUFFIX_MULTIPLIERS: Record = {
+ m: 1_000_000,
+ b: 1_000_000_000,
+ t: 1_000_000_000_000,
+};
+
+/** Expansion threshold (50%) */
+const EXPANSION_THRESHOLD = 0.50;
+
+/**
+ * Convert a matched dollar string to a number, handling M/B/T suffixes.
+ * Mirrors Python: _parse_dollar_amount(raw)
+ */
+export function parseDollarAmount(raw: string): number | null {
+ let s = raw.replace(/\$/g, '').replace(/,/g, '').trim();
+
+ // Strip the "illion" tail so "Million" → "M", etc.
+ if (s.toLowerCase().endsWith('illion')) {
+ s = s.slice(0, -'illion'.length);
+ }
+
+ if (s.length > 0 && s[s.length - 1].toLowerCase() in SUFFIX_MULTIPLIERS) {
+ const mult = SUFFIX_MULTIPLIERS[s[s.length - 1].toLowerCase()];
+ const numStr = s.slice(0, -1).trim();
+ const val = parseFloat(numStr);
+ if (isNaN(val)) return null;
+ return val * mult;
+ }
+
+ const val = parseFloat(s);
+ if (isNaN(val)) return null;
+ return val;
+}
+
+/**
+ * Identify scope expansion anomalies in a normalized document.
+ * Mirrors Python: detect_scope_expansion_anomalies(doc)
+ */
+export function detectScopeExpansionAnomalies(doc: NormalizedDocument): Anomaly[] {
+ const anomalies: Anomaly[] = [];
+
+ if (!doc || typeof doc !== 'object') {
+ return anomalies;
+ }
+
+ const textContent = extractTextContent(doc);
+ if (!textContent) {
+ return anomalies;
+ }
+
+ const textLower = textContent.toLowerCase();
+
+ const hasAmendment = AMENDMENT_KEYWORDS.some((kw) => textLower.includes(kw));
+ if (!hasAmendment) {
+ return anomalies;
+ }
+
+ const hasBaseline = BASELINE_KEYWORDS.some((kw) => textLower.includes(kw));
+
+ // Parse all dollar amounts in the document
+ // Create a new regex instance to avoid global state issues
+ const amountPattern = new RegExp(FISCAL_AMOUNT_PATTERN.source, 'gi');
+ const rawAmounts = textContent.match(amountPattern) || [];
+ const parsed: Array<[string, number]> = [];
+ for (const raw of rawAmounts) {
+ const value = parseDollarAmount(raw);
+ if (value !== null && value > 0) {
+ parsed.push([raw, value]);
+ }
+ }
+
+ // Check 1: Significant expansion — any amount >50% above another
+ if (parsed.length >= 2) {
+ const values = parsed.map(([, v]) => v);
+ const minVal = Math.min(...values);
+ const maxVal = Math.max(...values);
+ if (maxVal > minVal * (1 + EXPANSION_THRESHOLD)) {
+ const expansionPct = Math.round(((maxVal - minVal) / minVal) * 1000) / 10;
+ const originalRaw = parsed.find(([, v]) => v === minVal)![0];
+ const expandedRaw = parsed.find(([, v]) => v === maxVal)![0];
+ anomalies.push({
+ id: 'scope:significant-expansion',
+ issue: `Contract amount expanded by ${expansionPct}% — possible amendment-as-procurement`,
+ severity: 'high',
+ layer: 'scope',
+ details: {
+ original_amount: originalRaw,
+ expanded_amount: expandedRaw,
+ expansion_percentage: expansionPct,
+ },
+ });
+ }
+ }
+
+ // Check 2: Amendment present but no original authorization reference
+ if (!hasBaseline) {
+ anomalies.push({
+ id: 'scope:amendment-without-baseline',
+ issue: 'Amendment instrument found with no original authorization reference',
+ severity: 'medium',
+ layer: 'scope',
+ details: {
+ baseline_keywords_checked: BASELINE_KEYWORDS,
+ },
+ });
+ }
+
+ // Check 3: Sole-source justification combined with amendment
+ const soleSourceMatch = SOLE_SOURCE_PATTERN.exec(textContent);
+ if (soleSourceMatch) {
+ anomalies.push({
+ id: 'scope:sole-source-expansion',
+ issue: 'Sole-source justification combined with amendment instrument',
+ severity: 'high',
+ layer: 'scope',
+ details: {
+ sole_source_match: soleSourceMatch[0],
+ },
+ });
+ }
+
+ return anomalies;
+}
diff --git a/mobile/lib/analysis/detectors/signatureChain.ts b/mobile/lib/analysis/detectors/signatureChain.ts
new file mode 100644
index 0000000..d07b711
--- /dev/null
+++ b/mobile/lib/analysis/detectors/signatureChain.ts
@@ -0,0 +1,146 @@
+/**
+ * Signature Chain Detector.
+ *
+ * Detects unsigned, partially signed, or placeholder-signed documents.
+ * Direct port of src/oraculus_di_auditor/analysis/signature_chain.py
+ */
+
+import { Anomaly, NormalizedDocument } from '../types';
+import { extractTextContent } from '../textUtils';
+
+/** Patterns indicating a blank or missing signature block */
+export const SIGNATURE_GAP_PATTERNS: string[] = [
+ '\\bsignature\\s+block\\s+blank\\b',
+ '\\bunsigned\\b',
+ '\\bnot\\b.{0,20}\\bexecuted\\b',
+ '\\bplaceholder\\b',
+ '_{5,}',
+ '\\bDocuSign\\b.{0,80}\\bpending\\b',
+ '\\bone\\s+party\\s+signed\\b',
+ '\\bagency\\s+signature\\s+missing\\b',
+ '\\bvendor\\s+signature\\s+only\\b',
+ '\\bcity\\s+signature\\s+blank\\b',
+];
+
+/** Literal placeholder tokens used by contract-assembly tools */
+export const PLACEHOLDER_PATTERN = /\\s1\\|\\d1\\|\[SIGNATURE\]/i;
+
+/** Contract instrument keywords */
+export const CONTRACT_INSTRUMENT_PATTERN =
+ /\b(?:MSPA|MSA|PSA|SOW|MOU|agreement|contract|amendment|order\s+form)\b/i;
+
+/** Fiscal amount pattern (reused from fiscal layer) */
+const FISCAL_AMOUNT_PATTERN =
+ /\$\s*\d{1,3}(?:,\d{3})*(?:\.\d{2})?|\$\s*\d+(?:\.\d+)?\s*[MBT](?:illion)?/gi;
+
+/** Compiled signature gap patterns */
+const COMPILED_GAP_PATTERNS: RegExp[] = SIGNATURE_GAP_PATTERNS.map(
+ (p) => new RegExp(p, 'i')
+);
+
+/**
+ * Return each gap-pattern string that matched in text.
+ * Mirrors Python: _detect_signature_gaps(text)
+ */
+function detectSignatureGaps(text: string): string[] {
+ const matched: string[] = [];
+ for (const pattern of COMPILED_GAP_PATTERNS) {
+ if (pattern.test(text)) {
+ matched.push(pattern.source);
+ }
+ }
+ return matched;
+}
+
+/**
+ * Return the contract instrument keyword closest to gapPosition in text.
+ * Mirrors Python: _nearest_instrument(text, gap_match)
+ */
+function nearestInstrument(text: string, gapPosition: number): string | null {
+ let bestWord: string | null = null;
+ let bestDist = Infinity;
+
+ const globalPattern = new RegExp(CONTRACT_INSTRUMENT_PATTERN.source, 'gi');
+ let match: RegExpExecArray | null;
+ while ((match = globalPattern.exec(text)) !== null) {
+ const dist = Math.abs(match.index - gapPosition);
+ if (dist < bestDist) {
+ bestDist = dist;
+ bestWord = match[0].toUpperCase();
+ }
+ }
+
+ return bestWord;
+}
+
+/**
+ * Identify signature chain anomalies in a normalized document.
+ * Mirrors Python: detect_signature_anomalies(doc)
+ */
+export function detectSignatureAnomalies(doc: NormalizedDocument): Anomaly[] {
+ const anomalies: Anomaly[] = [];
+
+ if (!doc || typeof doc !== 'object') {
+ return anomalies;
+ }
+
+ const textContent = extractTextContent(doc);
+ if (!textContent) {
+ return anomalies;
+ }
+
+ const hasInstrument = CONTRACT_INSTRUMENT_PATTERN.test(textContent);
+ FISCAL_AMOUNT_PATTERN.lastIndex = 0;
+ const dollarAmounts = textContent.match(FISCAL_AMOUNT_PATTERN) || [];
+
+ // Check 1: Signature gap patterns near a contract instrument keyword
+ if (hasInstrument) {
+ const gapMatches: Array<{ index: number; pattern: string }> = [];
+ const gapTypes: string[] = [];
+
+ for (const pattern of COMPILED_GAP_PATTERNS) {
+ const m = pattern.exec(textContent);
+ if (m) {
+ gapMatches.push({ index: m.index, pattern: pattern.source });
+ gapTypes.push(pattern.source);
+ }
+ // Reset for stateless patterns
+ pattern.lastIndex = 0;
+ }
+
+ if (gapMatches.length > 0) {
+ const instrumentType =
+ nearestInstrument(textContent, gapMatches[0].index) || 'UNKNOWN';
+ const severity = dollarAmounts.length > 0 ? 'critical' : 'high';
+ anomalies.push({
+ id: 'signature:unsigned-instrument',
+ issue: `Signature gap detected in ${instrumentType} instrument`,
+ severity: severity as 'critical' | 'high',
+ layer: 'signature',
+ details: {
+ instrument_type: instrumentType,
+ signature_gap_type: gapTypes[0],
+ gap_pattern_count: gapMatches.length,
+ dollar_amount: dollarAmounts.length > 0 ? dollarAmounts[0] : null,
+ },
+ });
+ }
+ }
+
+ // Check 2: Placeholder tokens anywhere in the document
+ const placeholderMatch = PLACEHOLDER_PATTERN.exec(textContent);
+ if (placeholderMatch) {
+ anomalies.push({
+ id: 'signature:placeholder-tokens',
+ issue: 'Unresolved signature placeholder token found in document',
+ severity: 'high',
+ layer: 'signature',
+ details: {
+ token: placeholderMatch[0],
+ position: placeholderMatch.index,
+ },
+ });
+ }
+
+ return anomalies;
+}
diff --git a/mobile/lib/analysis/detectors/surveillance.ts b/mobile/lib/analysis/detectors/surveillance.ts
new file mode 100644
index 0000000..8f04552
--- /dev/null
+++ b/mobile/lib/analysis/detectors/surveillance.ts
@@ -0,0 +1,101 @@
+/**
+ * Surveillance Outsourcing Detector.
+ *
+ * Surfaces potential outsourcing of surveillance functions to private vendors
+ * and associated privacy risks.
+ * Direct port of src/oraculus_di_auditor/analysis/surveillance.py
+ */
+
+import { Anomaly, NormalizedDocument } from '../types';
+import { extractTextContent } from '../textUtils';
+
+/** Surveillance-related keywords */
+export const SURVEILLANCE_KEYWORDS: string[] = [
+ 'surveillance',
+ 'monitoring',
+ 'tracking',
+ 'biometric',
+ 'facial recognition',
+ 'data collection',
+ 'wiretap',
+ 'intercept',
+ 'metadata',
+ 'geolocation',
+ 'cell site',
+ 'stingray',
+];
+
+/** Private contractor indicators */
+export const CONTRACTOR_KEYWORDS: string[] = [
+ 'contractor',
+ 'vendor',
+ 'third party',
+ 'private entity',
+ 'service provider',
+];
+
+/** Privacy safeguard indicators */
+export const SAFEGUARD_KEYWORDS: string[] = [
+ 'warrant',
+ 'probable cause',
+ 'court order',
+ 'judicial authorization',
+ 'minimization',
+ 'oversight',
+ 'privacy protection',
+ 'data retention limit',
+];
+
+/**
+ * Identify surveillance outsourcing anomalies.
+ * Mirrors Python: detect_surveillance_anomalies(doc)
+ */
+export function detectSurveillanceAnomalies(doc: NormalizedDocument): Anomaly[] {
+ const anomalies: Anomaly[] = [];
+
+ if (!doc || typeof doc !== 'object') {
+ return anomalies;
+ }
+
+ const textContent = extractTextContent(doc);
+ if (!textContent) {
+ return anomalies;
+ }
+
+ const textLower = textContent.toLowerCase();
+
+ // Check 1: Surveillance + contractor without safeguards
+ const hasSurveillance = SURVEILLANCE_KEYWORDS.some((kw) => textLower.includes(kw));
+ const hasContractor = CONTRACTOR_KEYWORDS.some((kw) => textLower.includes(kw));
+ const hasSafeguards = SAFEGUARD_KEYWORDS.some((kw) => textLower.includes(kw));
+
+ if (hasSurveillance && hasContractor && !hasSafeguards) {
+ const surveillanceFound = SURVEILLANCE_KEYWORDS.filter((kw) =>
+ textLower.includes(kw)
+ );
+ const contractorFound = CONTRACTOR_KEYWORDS.filter((kw) =>
+ textLower.includes(kw)
+ );
+
+ anomalies.push({
+ id: 'surveillance:outsourced-without-safeguards',
+ issue: 'Surveillance outsourcing detected without privacy safeguards',
+ severity: 'high',
+ layer: 'surveillance',
+ details: {
+ surveillance_keywords: surveillanceFound.slice(0, 3),
+ contractor_keywords: contractorFound.slice(0, 2),
+ },
+ });
+ } else if (hasSurveillance && hasContractor && hasSafeguards) {
+ anomalies.push({
+ id: 'surveillance:outsourced-with-safeguards',
+ issue: 'Surveillance outsourcing detected with some safeguards',
+ severity: 'low',
+ layer: 'surveillance',
+ details: { requires_review: true },
+ });
+ }
+
+ return anomalies;
+}
diff --git a/mobile/lib/analysis/index.ts b/mobile/lib/analysis/index.ts
new file mode 100644
index 0000000..5a7427a
--- /dev/null
+++ b/mobile/lib/analysis/index.ts
@@ -0,0 +1,21 @@
+/**
+ * ODIA Analysis Engine - TypeScript Port
+ *
+ * Complete port of src/oraculus_di_auditor/analysis/
+ * All detectors produce identical results to the Python implementations.
+ */
+
+export * from './types';
+export { extractTextContent } from './textUtils';
+export { detectFiscalAnomalies } from './detectors/fiscal';
+export { detectConstitutionalAnomalies } from './detectors/constitutional';
+export { detectSurveillanceAnomalies } from './detectors/surveillance';
+export { detectProcurementTimelineAnomalies } from './detectors/procurementTimeline';
+export { detectGovernanceGapAnomalies } from './detectors/governanceGap';
+export { detectSignatureAnomalies } from './detectors/signatureChain';
+export { detectAdministrativeAnomalies } from './detectors/administrativeIntegrity';
+export { detectScopeExpansionAnomalies } from './detectors/scopeExpansion';
+export { detectCrossJurisdictionRefs, crossReferenceAudit } from './detectors/crossReference';
+export { computeRecursiveScalarScore } from './scalarCore';
+export { analyzeDocument } from './auditEngine';
+export { runFullAnalysis } from './pipeline';
diff --git a/mobile/lib/analysis/pipeline.ts b/mobile/lib/analysis/pipeline.ts
new file mode 100644
index 0000000..a76bb21
--- /dev/null
+++ b/mobile/lib/analysis/pipeline.ts
@@ -0,0 +1,228 @@
+/**
+ * Unified Analysis Pipeline for ODIA Mobile.
+ *
+ * Central entry point for running a complete analysis on a document.
+ * Direct port of src/oraculus_di_auditor/analysis/pipeline.py
+ */
+
+import { Anomaly, AnalysisResult, NormalizedDocument } from './types';
+import { detectFiscalAnomalies } from './detectors/fiscal';
+import { detectConstitutionalAnomalies } from './detectors/constitutional';
+import { detectSurveillanceAnomalies } from './detectors/surveillance';
+import { computeRecursiveScalarScore } from './scalarCore';
+
+/** Severity weights for pipeline scoring (different from scalar_core weights) */
+const PIPELINE_SEVERITY_WEIGHTS: Record = {
+ low: 0.1,
+ medium: 0.3,
+ high: 0.6,
+};
+
+/**
+ * Execute complete anomaly detection analysis on document text.
+ * Mirrors Python: run_full_analysis(document_text, metadata, *, jurisdiction_config)
+ */
+export function runFullAnalysis(
+ documentText: string,
+ metadata: Record,
+ options?: { jurisdictionName?: string; agencies?: Record }
+): AnalysisResult {
+ // Preprocess: normalize metadata and create document structure
+ const agencies = options?.agencies || {};
+ const normalizedDoc = preprocessDocument(documentText, metadata, agencies);
+
+ // Run all detectors
+ const fiscalFindings = detectFiscalAnomalies(normalizedDoc);
+ const constitutionalFindings = detectConstitutionalAnomalies(normalizedDoc);
+ const surveillanceFindings = detectSurveillanceAnomalies(normalizedDoc);
+
+ // Combine all findings
+ const allAnomalies = [
+ ...fiscalFindings,
+ ...constitutionalFindings,
+ ...surveillanceFindings,
+ ];
+
+ // Compute recursive scalar score (confidence-like, 1.0 = best)
+ const latticeScore = computeRecursiveScalarScore(normalizedDoc, allAnomalies);
+
+ // Compute additional metrics
+ const severityScore = computeSeverityScore(allAnomalies);
+ const coherenceBonus = computePipelineCoherenceBonus(normalizedDoc);
+ const flags = extractHighPriorityFlags(allAnomalies);
+ const summary = generateSummary(allAnomalies, severityScore, latticeScore);
+
+ // Build structured response
+ const result: AnalysisResult = {
+ metadata: (normalizedDoc.metadata as Record) || metadata,
+ findings: {
+ fiscal: fiscalFindings,
+ constitutional: constitutionalFindings,
+ surveillance: surveillanceFindings,
+ },
+ severity_score: severityScore,
+ lattice_score: latticeScore,
+ coherence_bonus: coherenceBonus,
+ flags,
+ summary,
+ timestamp: new Date().toISOString(),
+ };
+
+ if (options?.jurisdictionName) {
+ result.jurisdiction = options.jurisdictionName;
+ }
+
+ return result;
+}
+
+/**
+ * Convert raw text and metadata into normalized document structure.
+ * Mirrors Python: _preprocess_document(document_text, metadata, *, agencies)
+ */
+function preprocessDocument(
+ documentText: string,
+ metadata: Record,
+ agencies: Record
+): NormalizedDocument {
+ const documentId =
+ (metadata.document_id as string) ||
+ `doc-${Math.abs(hashCode(documentText)) % 10 ** 8}`;
+
+ const normalizedDoc: NormalizedDocument = {
+ document_id: documentId,
+ title: (metadata.title as string) || 'Untitled Document',
+ document_type: (metadata.document_type as string) || 'document',
+ raw_text: documentText,
+ sections: [
+ {
+ section_id: 'main',
+ content: documentText,
+ },
+ ],
+ metadata: { ...metadata, document_id: documentId },
+ };
+
+ if (Object.keys(agencies).length > 0) {
+ normalizedDoc.agencies = agencies;
+ }
+
+ // Add provenance if hash is provided in metadata
+ if ('hash' in metadata) {
+ normalizedDoc.provenance = {
+ source: (metadata.source as string) || 'pipeline',
+ hash: metadata.hash as string,
+ verified_on: new Date().toISOString(),
+ };
+ }
+
+ return normalizedDoc;
+}
+
+/** Simple hash code for strings (matching Python's hash() behavior for ID generation) */
+function hashCode(str: string): number {
+ let hash = 0;
+ for (let i = 0; i < str.length; i++) {
+ const char = str.charCodeAt(i);
+ hash = (hash << 5) - hash + char;
+ hash |= 0; // Convert to 32bit integer
+ }
+ return hash;
+}
+
+/**
+ * Compute aggregate severity score from anomalies.
+ * Mirrors Python: _compute_severity_score(anomalies)
+ */
+function computeSeverityScore(anomalies: Anomaly[]): number {
+ if (anomalies.length === 0) {
+ return 0.0;
+ }
+
+ const totalWeight = anomalies.reduce((sum, a) => {
+ const severity = a.severity || 'medium';
+ return sum + (PIPELINE_SEVERITY_WEIGHTS[severity] ?? 0.3);
+ }, 0);
+
+ // Normalize to 0-1 range, with diminishing returns
+ return Math.min(1.0, totalWeight / (anomalies.length + 5));
+}
+
+/**
+ * Compute pattern coherence bonus for documents with strong provenance.
+ * Mirrors Python: _compute_coherence_bonus(doc) in pipeline.py
+ */
+function computePipelineCoherenceBonus(doc: NormalizedDocument): number {
+ let bonus = 0.0;
+
+ const prov = doc.provenance;
+ if (prov) {
+ if (prov.hash) bonus += 0.05;
+ if (prov.verified_on) bonus += 0.05;
+ if (prov.source) bonus += 0.05;
+ }
+
+ if (doc.document_type && doc.title) {
+ bonus += 0.05;
+ }
+
+ return Math.min(0.2, bonus);
+}
+
+/**
+ * Extract high-priority flags from anomalies.
+ * Mirrors Python: _extract_high_priority_flags(anomalies)
+ */
+function extractHighPriorityFlags(anomalies: Anomaly[]): string[] {
+ const flags: string[] = [];
+
+ for (const anomaly of anomalies) {
+ if (anomaly.severity === 'high') {
+ const flagId = anomaly.id || 'unknown';
+ const issue = anomaly.issue || 'High-severity anomaly detected';
+ flags.push(`${flagId}: ${issue}`);
+ }
+ }
+
+ return flags;
+}
+
+/**
+ * Generate human-readable summary of analysis results.
+ * Mirrors Python: _generate_summary(anomalies, severity_score, lattice_score)
+ */
+function generateSummary(
+ anomalies: Anomaly[],
+ severityScore: number,
+ latticeScore: number
+): string {
+ const anomalyCount = anomalies.length;
+
+ if (anomalyCount === 0) {
+ return (
+ `Analysis complete. No anomalies detected. ` +
+ `Confidence score: ${latticeScore.toFixed(2)}`
+ );
+ }
+
+ // Categorize by severity
+ const bySeverity: Record = { low: 0, medium: 0, high: 0 };
+ for (const a of anomalies) {
+ const severity = a.severity || 'medium';
+ bySeverity[severity] = (bySeverity[severity] || 0) + 1;
+ }
+
+ const severityParts: string[] = [];
+ if (bySeverity.high > 0) severityParts.push(`${bySeverity.high} high`);
+ if (bySeverity.medium > 0) severityParts.push(`${bySeverity.medium} medium`);
+ if (bySeverity.low > 0) severityParts.push(`${bySeverity.low} low`);
+
+ const severityStr = severityParts.join(', ');
+ const anomalyWord = anomalyCount === 1 ? 'y' : 'ies';
+
+ return (
+ `Analysis detected ${anomalyCount} anomal${anomalyWord} ` +
+ `(${severityStr} severity). ` +
+ `Overall severity: ${severityScore.toFixed(2)}, ` +
+ `confidence: ${latticeScore.toFixed(2)}`
+ );
+}
diff --git a/mobile/lib/analysis/scalarCore.ts b/mobile/lib/analysis/scalarCore.ts
new file mode 100644
index 0000000..7188c9a
--- /dev/null
+++ b/mobile/lib/analysis/scalarCore.ts
@@ -0,0 +1,71 @@
+/**
+ * Recursive Scalar Core (Pattern Lattice and Confidence Scoring).
+ *
+ * Direct port of src/oraculus_di_auditor/analysis/scalar_core.py
+ */
+
+import { Anomaly, NormalizedDocument } from './types';
+
+/** Severity weights for anomaly scoring */
+export const SEVERITY_WEIGHTS: Record = {
+ low: 0.02,
+ medium: 0.05,
+ high: 0.10,
+};
+
+/**
+ * Compute a confidence-like score using recursive scalar model.
+ * Returns a score in [0.0, 1.0], with 1.0 meaning fully consistent.
+ * Mirrors Python: compute_recursive_scalar_score(doc, anomalies)
+ */
+export function computeRecursiveScalarScore(
+ doc: NormalizedDocument,
+ anomalies: Anomaly[]
+): number {
+ if (!anomalies || anomalies.length === 0) {
+ return 1.0;
+ }
+
+ // Weighted scoring based on severity
+ let totalPenalty = 0.0;
+ for (const anomaly of anomalies) {
+ const severity = anomaly.severity || 'medium';
+ const weight = SEVERITY_WEIGHTS[severity] ?? 0.05;
+ totalPenalty += weight;
+ }
+
+ // Apply pattern lattice coherence boost for documents with good provenance
+ const coherenceBonus = computeCoherenceBonus(doc);
+ const adjustedPenalty = Math.max(0.0, totalPenalty - coherenceBonus);
+
+ // Clamp score to [0, 1]
+ return Math.max(0.0, Math.min(1.0, 1.0 - adjustedPenalty));
+}
+
+/**
+ * Compute coherence bonus based on document structural integrity.
+ * Mirrors Python: _compute_coherence_bonus(doc)
+ */
+function computeCoherenceBonus(doc: NormalizedDocument): number {
+ let bonus = 0.0;
+
+ // Bonus for valid provenance
+ const prov = doc.provenance;
+ if (prov && typeof prov === 'object' && prov.hash) {
+ bonus += 0.01;
+ }
+
+ // Bonus for having references (indicates lattice connectivity)
+ const refs = doc.references;
+ if (Array.isArray(refs) && refs.length > 0) {
+ bonus += 0.005;
+ }
+
+ // Bonus for metadata completeness
+ const metadata = doc.metadata;
+ if (metadata && typeof metadata === 'object' && Object.keys(metadata).length > 0) {
+ bonus += 0.005;
+ }
+
+ return bonus;
+}
diff --git a/mobile/lib/analysis/textUtils.ts b/mobile/lib/analysis/textUtils.ts
new file mode 100644
index 0000000..5534340
--- /dev/null
+++ b/mobile/lib/analysis/textUtils.ts
@@ -0,0 +1,38 @@
+/**
+ * Shared utility functions for analysis modules.
+ *
+ * Direct port of src/oraculus_di_auditor/analysis/text_utils.py
+ */
+
+import { NormalizedDocument } from './types';
+
+/**
+ * Extract all text content from document for analysis.
+ *
+ * Mirrors Python: extract_text_content(doc)
+ * Extracts from raw_text and sections[].content, joins with space.
+ */
+export function extractTextContent(doc: NormalizedDocument): string {
+ const textParts: string[] = [];
+
+ // Extract from raw_text field
+ if ('raw_text' in doc && typeof doc.raw_text === 'string') {
+ textParts.push(doc.raw_text);
+ }
+
+ // Extract from sections
+ const sections = doc.sections;
+ if (Array.isArray(sections)) {
+ for (const section of sections) {
+ if (
+ section !== null &&
+ typeof section === 'object' &&
+ 'content' in section
+ ) {
+ textParts.push(String(section.content));
+ }
+ }
+ }
+
+ return textParts.join(' ');
+}
diff --git a/mobile/lib/analysis/types.ts b/mobile/lib/analysis/types.ts
new file mode 100644
index 0000000..2aa2376
--- /dev/null
+++ b/mobile/lib/analysis/types.ts
@@ -0,0 +1,129 @@
+/**
+ * Core type definitions for ODIA analysis engine.
+ *
+ * These types mirror the Python analysis engine's data structures
+ * to ensure identical behavior between platforms.
+ */
+
+/** Severity levels for anomalies, matching Python detector output */
+export type Severity = 'low' | 'medium' | 'high' | 'critical';
+
+/** Standard anomaly record shape produced by all detectors */
+export interface Anomaly {
+ /** Stable dot-namespaced identifier (e.g., "fiscal:missing-provenance-hash") */
+ id: string;
+ /** Concise human-readable description */
+ issue: string;
+ /** Anomaly severity level */
+ severity: Severity;
+ /** Detector layer name (e.g., "fiscal", "constitutional") */
+ layer: string;
+ /** Structured, explainable fields specific to the anomaly type */
+ details: Record;
+}
+
+/** Provenance tracking information */
+export interface Provenance {
+ source?: string;
+ hash?: string;
+ verified_on?: string;
+}
+
+/** Document section */
+export interface DocumentSection {
+ section_id?: string;
+ content: string;
+}
+
+/** Normalized document structure used by all detectors */
+export interface NormalizedDocument {
+ document_id?: string;
+ title?: string;
+ document_type?: string;
+ raw_text?: string;
+ sections?: DocumentSection[];
+ provenance?: Provenance;
+ metadata?: Record;
+ references?: unknown[];
+ agencies?: Record;
+ /** Administrative fields */
+ final_action?: string | null;
+ status?: string | null;
+ vote_result?: string | null;
+ meeting_date?: string | null;
+ agenda_number?: string | null;
+ /** Procurement fields */
+ execution_date?: string;
+ authorization_date?: string;
+ id?: string;
+ /** Cross-reference fields */
+ text?: string;
+ jurisdiction?: string;
+}
+
+/** Audit engine result */
+export interface AuditResult {
+ count: number;
+ score: number;
+ anomalies: Anomaly[];
+}
+
+/** Full pipeline analysis result */
+export interface AnalysisResult {
+ metadata: Record;
+ jurisdiction?: string;
+ findings: {
+ fiscal: Anomaly[];
+ constitutional: Anomaly[];
+ surveillance: Anomaly[];
+ };
+ severity_score: number;
+ lattice_score: number;
+ coherence_bonus: number;
+ flags: string[];
+ summary: string;
+ timestamp: string;
+}
+
+/** Cross-reference result */
+export interface CrossReference {
+ type: string;
+ federal?: string[];
+ state?: string[];
+ severity: string;
+ description: string;
+}
+
+/** Cross-reference audit anomaly */
+export interface CrossReferenceAnomaly {
+ id: string;
+ jurisdiction: string;
+ issue: string;
+ severity: string;
+ description: string;
+ details?: Record;
+}
+
+/** Stored document for offline access */
+export interface StoredDocument {
+ id: string;
+ title: string;
+ text: string;
+ metadata: Record;
+ createdAt: string;
+ updatedAt: string;
+}
+
+/** Stored analysis result */
+export interface StoredAnalysisResult {
+ id: string;
+ documentId: string;
+ result: AnalysisResult;
+ createdAt: string;
+}
+
+/** Detector function type for single-document detectors */
+export type SingleDocDetector = (doc: NormalizedDocument) => Anomaly[];
+
+/** Detector function type for multi-document detectors */
+export type MultiDocDetector = (docs: NormalizedDocument[]) => Anomaly[];
diff --git a/mobile/lib/ocr/camera.ts b/mobile/lib/ocr/camera.ts
new file mode 100644
index 0000000..27fc334
--- /dev/null
+++ b/mobile/lib/ocr/camera.ts
@@ -0,0 +1,107 @@
+/**
+ * Camera and OCR Module.
+ *
+ * Handles document capture and text recognition for on-device processing.
+ * Uses expo-camera for capture and provides hooks for OCR integration.
+ */
+
+/** Camera capture result */
+export interface CaptureResult {
+ /** URI of the captured image */
+ uri: string;
+ /** Image width in pixels */
+ width: number;
+ /** Image height in pixels */
+ height: number;
+ /** Base64 encoded image data (optional) */
+ base64?: string;
+}
+
+/** OCR result from text recognition */
+export interface OCRResult {
+ /** Extracted text content */
+ text: string;
+ /** Confidence score (0-1) */
+ confidence: number;
+ /** Individual text blocks detected */
+ blocks: OCRTextBlock[];
+}
+
+/** Individual text block from OCR */
+export interface OCRTextBlock {
+ /** Text content of the block */
+ text: string;
+ /** Confidence for this block */
+ confidence: number;
+ /** Bounding box coordinates */
+ bounds: {
+ x: number;
+ y: number;
+ width: number;
+ height: number;
+ };
+}
+
+/**
+ * Process an image for text recognition.
+ *
+ * This is a stub that returns the image URI for manual text input.
+ * In production, integrate with ML Kit or Tesseract for on-device OCR.
+ */
+export async function recognizeText(imageUri: string): Promise {
+ // Stub implementation — in production, this would use:
+ // - Google ML Kit (react-native-mlkit-ocr)
+ // - Tesseract.js (for web/Node)
+ // - Apple Vision framework (iOS native)
+ //
+ // For now, returns an empty result indicating OCR is not yet configured.
+ return {
+ text: '',
+ confidence: 0,
+ blocks: [],
+ };
+}
+
+/**
+ * Check if OCR capabilities are available on this device.
+ */
+export async function isOCRAvailable(): Promise {
+ // Stub — will return true once an OCR provider is integrated
+ return false;
+}
+
+/**
+ * Camera permission status */
+export type CameraPermissionStatus = 'granted' | 'denied' | 'undetermined';
+
+/**
+ * Check camera permission status.
+ * Wraps expo-camera permission API.
+ */
+export async function getCameraPermission(): Promise {
+ try {
+ // Dynamic import to avoid crashes in test environments
+ const Camera = await import('expo-camera');
+ const { status } = await Camera.Camera.getCameraPermissionsAsync();
+ if (status === 'granted') return 'granted';
+ if (status === 'denied') return 'denied';
+ return 'undetermined';
+ } catch {
+ return 'undetermined';
+ }
+}
+
+/**
+ * Request camera permission.
+ */
+export async function requestCameraPermission(): Promise {
+ try {
+ const Camera = await import('expo-camera');
+ const { status } = await Camera.Camera.requestCameraPermissionsAsync();
+ if (status === 'granted') return 'granted';
+ if (status === 'denied') return 'denied';
+ return 'undetermined';
+ } catch {
+ return 'denied';
+ }
+}
diff --git a/mobile/lib/ocr/index.ts b/mobile/lib/ocr/index.ts
new file mode 100644
index 0000000..42a5189
--- /dev/null
+++ b/mobile/lib/ocr/index.ts
@@ -0,0 +1,17 @@
+/**
+ * OCR module exports.
+ */
+
+export {
+ recognizeText,
+ isOCRAvailable,
+ getCameraPermission,
+ requestCameraPermission,
+} from './camera';
+
+export type {
+ CaptureResult,
+ OCRResult,
+ OCRTextBlock,
+ CameraPermissionStatus,
+} from './camera';
diff --git a/mobile/lib/storage/documentStore.ts b/mobile/lib/storage/documentStore.ts
new file mode 100644
index 0000000..1e22c5b
--- /dev/null
+++ b/mobile/lib/storage/documentStore.ts
@@ -0,0 +1,215 @@
+/**
+ * Document Storage Layer.
+ *
+ * Provides offline-first document storage using AsyncStorage for metadata
+ * and FileSystem for document content. All data stays on-device.
+ */
+
+import { StoredDocument, StoredAnalysisResult, AnalysisResult } from '../analysis/types';
+
+/** Storage key prefixes */
+const KEYS = {
+ DOCUMENT_LIST: '@odia/documents',
+ DOCUMENT_PREFIX: '@odia/doc/',
+ RESULT_PREFIX: '@odia/result/',
+ SETTINGS: '@odia/settings',
+} as const;
+
+/**
+ * In-memory storage fallback for environments without AsyncStorage.
+ * This allows the storage layer to work in tests and non-React-Native contexts.
+ */
+class InMemoryStorage {
+ private store: Map = new Map();
+
+ async getItem(key: string): Promise {
+ return this.store.get(key) ?? null;
+ }
+
+ async setItem(key: string, value: string): Promise {
+ this.store.set(key, value);
+ }
+
+ async removeItem(key: string): Promise {
+ this.store.delete(key);
+ }
+
+ async getAllKeys(): Promise {
+ return Array.from(this.store.keys());
+ }
+
+ async multiGet(keys: string[]): Promise> {
+ return keys.map((key) => [key, this.store.get(key) ?? null]);
+ }
+
+ async multiRemove(keys: string[]): Promise {
+ for (const key of keys) {
+ this.store.delete(key);
+ }
+ }
+
+ clear(): void {
+ this.store.clear();
+ }
+}
+
+/** Storage backend interface */
+interface StorageBackend {
+ getItem(key: string): Promise;
+ setItem(key: string, value: string): Promise;
+ removeItem(key: string): Promise;
+ getAllKeys(): Promise;
+ multiGet(keys: string[]): Promise>;
+ multiRemove(keys: string[]): Promise;
+}
+
+/** Global storage backend — can be swapped for testing */
+let storage: StorageBackend = new InMemoryStorage();
+
+/**
+ * Set the storage backend. Call this at app startup to inject AsyncStorage.
+ * For tests, the default InMemoryStorage is used.
+ */
+export function setStorageBackend(backend: StorageBackend): void {
+ storage = backend;
+}
+
+/** Reset storage to in-memory (for testing) */
+export function resetStorage(): void {
+ const memStorage = new InMemoryStorage();
+ storage = memStorage;
+}
+
+/** Generate a unique document ID */
+function generateId(): string {
+ const timestamp = Date.now().toString(36);
+ const random = Math.random().toString(36).substring(2, 8);
+ return `${timestamp}-${random}`;
+}
+
+/**
+ * Save a new document to storage.
+ */
+export async function saveDocument(
+ title: string,
+ text: string,
+ metadata: Record = {}
+): Promise {
+ const id = generateId();
+ const now = new Date().toISOString();
+
+ const doc: StoredDocument = {
+ id,
+ title,
+ text,
+ metadata,
+ createdAt: now,
+ updatedAt: now,
+ };
+
+ // Save document data
+ await storage.setItem(
+ `${KEYS.DOCUMENT_PREFIX}${id}`,
+ JSON.stringify(doc)
+ );
+
+ // Update document list
+ const listRaw = await storage.getItem(KEYS.DOCUMENT_LIST);
+ const list: string[] = listRaw ? JSON.parse(listRaw) : [];
+ list.unshift(id);
+ await storage.setItem(KEYS.DOCUMENT_LIST, JSON.stringify(list));
+
+ return doc;
+}
+
+/**
+ * Get a document by ID.
+ */
+export async function getDocument(id: string): Promise {
+ const raw = await storage.getItem(`${KEYS.DOCUMENT_PREFIX}${id}`);
+ if (!raw) return null;
+ return JSON.parse(raw) as StoredDocument;
+}
+
+/**
+ * Get all stored documents, ordered by creation date (newest first).
+ */
+export async function listDocuments(): Promise {
+ const listRaw = await storage.getItem(KEYS.DOCUMENT_LIST);
+ if (!listRaw) return [];
+
+ const ids: string[] = JSON.parse(listRaw);
+ const keys = ids.map((id) => `${KEYS.DOCUMENT_PREFIX}${id}`);
+ const pairs = await storage.multiGet(keys);
+
+ const docs: StoredDocument[] = [];
+ for (const [, value] of pairs) {
+ if (value) {
+ docs.push(JSON.parse(value) as StoredDocument);
+ }
+ }
+
+ return docs;
+}
+
+/**
+ * Delete a document and its associated analysis results.
+ */
+export async function deleteDocument(id: string): Promise {
+ // Remove document
+ await storage.removeItem(`${KEYS.DOCUMENT_PREFIX}${id}`);
+
+ // Remove associated results
+ await storage.removeItem(`${KEYS.RESULT_PREFIX}${id}`);
+
+ // Update list
+ const listRaw = await storage.getItem(KEYS.DOCUMENT_LIST);
+ if (listRaw) {
+ const list: string[] = JSON.parse(listRaw);
+ const filtered = list.filter((docId) => docId !== id);
+ await storage.setItem(KEYS.DOCUMENT_LIST, JSON.stringify(filtered));
+ }
+}
+
+/**
+ * Save an analysis result for a document.
+ */
+export async function saveAnalysisResult(
+ documentId: string,
+ result: AnalysisResult
+): Promise {
+ const stored: StoredAnalysisResult = {
+ id: generateId(),
+ documentId,
+ result,
+ createdAt: new Date().toISOString(),
+ };
+
+ await storage.setItem(
+ `${KEYS.RESULT_PREFIX}${documentId}`,
+ JSON.stringify(stored)
+ );
+
+ return stored;
+}
+
+/**
+ * Get the analysis result for a document.
+ */
+export async function getAnalysisResult(
+ documentId: string
+): Promise {
+ const raw = await storage.getItem(`${KEYS.RESULT_PREFIX}${documentId}`);
+ if (!raw) return null;
+ return JSON.parse(raw) as StoredAnalysisResult;
+}
+
+/**
+ * Get the count of stored documents.
+ */
+export async function getDocumentCount(): Promise {
+ const listRaw = await storage.getItem(KEYS.DOCUMENT_LIST);
+ if (!listRaw) return 0;
+ const list: string[] = JSON.parse(listRaw);
+ return list.length;
+}
diff --git a/mobile/lib/storage/index.ts b/mobile/lib/storage/index.ts
new file mode 100644
index 0000000..641f307
--- /dev/null
+++ b/mobile/lib/storage/index.ts
@@ -0,0 +1,15 @@
+/**
+ * Storage layer exports.
+ */
+
+export {
+ saveDocument,
+ getDocument,
+ listDocuments,
+ deleteDocument,
+ saveAnalysisResult,
+ getAnalysisResult,
+ getDocumentCount,
+ setStorageBackend,
+ resetStorage,
+} from './documentStore';
diff --git a/mobile/package-lock.json b/mobile/package-lock.json
new file mode 100644
index 0000000..2c07287
--- /dev/null
+++ b/mobile/package-lock.json
@@ -0,0 +1,13118 @@
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+ "license": "MIT",
+ "engines": {
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+}
diff --git a/mobile/package.json b/mobile/package.json
new file mode 100644
index 0000000..d07b00f
--- /dev/null
+++ b/mobile/package.json
@@ -0,0 +1,61 @@
+{
+ "name": "odia-mobile",
+ "version": "1.0.0",
+ "description": "ODIA Mobile - On-device legal document analysis",
+ "main": "expo-router/entry",
+ "scripts": {
+ "start": "expo start",
+ "android": "expo start --android",
+ "ios": "expo start --ios",
+ "web": "expo start --web",
+ "test": "jest",
+ "test:coverage": "jest --coverage",
+ "lint": "eslint . --ext .ts,.tsx",
+ "typecheck": "tsc --noEmit"
+ },
+ "dependencies": {
+ "expo": "~52.0.0",
+ "expo-camera": "~16.0.0",
+ "expo-file-system": "~18.0.0",
+ "expo-haptics": "~14.0.0",
+ "expo-router": "~4.0.0",
+ "expo-status-bar": "~2.0.0",
+ "react": "18.3.1",
+ "react-native": "0.76.0",
+ "react-native-safe-area-context": "4.12.0",
+ "react-native-screens": "~4.1.0",
+ "@react-native-async-storage/async-storage": "2.1.0",
+ "react-native-reanimated": "~3.16.0"
+ },
+ "devDependencies": {
+ "@types/react": "~18.3.0",
+ "@types/jest": "^29.5.0",
+ "typescript": "~5.3.0",
+ "jest": "^29.7.0",
+ "ts-jest": "^29.1.0",
+ "@testing-library/react-native": "^12.0.0",
+ "@testing-library/jest-native": "^5.0.0",
+ "eslint": "^8.0.0"
+ },
+ "jest": {
+ "preset": "ts-jest",
+ "testEnvironment": "node",
+ "roots": ["/__tests__"],
+ "moduleFileExtensions": ["ts", "tsx", "js", "jsx"],
+ "transform": {
+ "^.+\\.tsx?$": "ts-jest"
+ },
+ "collectCoverageFrom": [
+ "lib/**/*.ts",
+ "!lib/**/*.d.ts"
+ ],
+ "coverageThreshold": {
+ "global": {
+ "branches": 80,
+ "functions": 80,
+ "lines": 80,
+ "statements": 80
+ }
+ }
+ }
+}
diff --git a/mobile/tsconfig.json b/mobile/tsconfig.json
new file mode 100644
index 0000000..ecf618c
--- /dev/null
+++ b/mobile/tsconfig.json
@@ -0,0 +1,31 @@
+{
+ "extends": "expo/tsconfig.base",
+ "compilerOptions": {
+ "strict": true,
+ "target": "ES2020",
+ "module": "commonjs",
+ "lib": ["ES2020"],
+ "moduleResolution": "node",
+ "esModuleInterop": true,
+ "skipLibCheck": true,
+ "forceConsistentCasingInFileNames": true,
+ "resolveJsonModule": true,
+ "declaration": true,
+ "declarationMap": true,
+ "sourceMap": true,
+ "outDir": "./dist",
+ "rootDir": ".",
+ "baseUrl": ".",
+ "paths": {
+ "@/*": ["./*"]
+ }
+ },
+ "include": [
+ "**/*.ts",
+ "**/*.tsx"
+ ],
+ "exclude": [
+ "node_modules",
+ "dist"
+ ]
+}
diff --git a/scripts/fetch_documents.py b/scripts/fetch_documents.py
index 6899a9f..a2b318f 100644
--- a/scripts/fetch_documents.py
+++ b/scripts/fetch_documents.py
@@ -5,7 +5,8 @@
Usage (non-interactive):
python scripts/fetch_documents.py --city visalia --start 2024-01-01 --end 2024-12-31
- python scripts/fetch_documents.py --city chicago --state IL --types Contract Resolution
+ python scripts/fetch_documents.py --city chicago --state IL \
+ --types Contract Resolution
Interactive mode (no --city argument):
python scripts/fetch_documents.py
diff --git a/src/oraculus_di_auditor/adapters/legistar_adapter.py b/src/oraculus_di_auditor/adapters/legistar_adapter.py
index 3e24493..dba4aa8 100644
--- a/src/oraculus_di_auditor/adapters/legistar_adapter.py
+++ b/src/oraculus_di_auditor/adapters/legistar_adapter.py
@@ -366,7 +366,10 @@ def list_available_clients(self) -> list[dict[str, str]]:
def load_cities() -> list[dict[str, str]]:
- """Load the curated list of known Legistar cities from config/legistar_cities.json."""
+ """Load curated list of known Legistar cities.
+
+ Reads from config/legistar_cities.json.
+ """
config_path = (
Path(__file__).resolve().parent.parent.parent.parent
/ "config"
diff --git a/src/oraculus_di_auditor/auth/auth_middleware.py b/src/oraculus_di_auditor/auth/auth_middleware.py
index 578e564..59fe8ab 100644
--- a/src/oraculus_di_auditor/auth/auth_middleware.py
+++ b/src/oraculus_di_auditor/auth/auth_middleware.py
@@ -12,7 +12,7 @@
logger = logging.getLogger(__name__)
try:
- from fastapi import Depends, HTTPException, status
+ from fastapi import HTTPException, status
from fastapi.security import OAuth2PasswordBearer
_oauth2_scheme = OAuth2PasswordBearer(
@@ -74,7 +74,7 @@ def get_current_user(token: str | None = None) -> dict[str, Any]:
status_code=status.HTTP_401_UNAUTHORIZED,
detail=str(exc),
headers={"WWW-Authenticate": "Bearer"},
- )
+ ) from exc
return ANONYMOUS_USER
diff --git a/src/oraculus_di_auditor/interface/routes/auth_routes.py b/src/oraculus_di_auditor/interface/routes/auth_routes.py
index 89ba648..847dedd 100644
--- a/src/oraculus_di_auditor/interface/routes/auth_routes.py
+++ b/src/oraculus_di_auditor/interface/routes/auth_routes.py
@@ -18,7 +18,7 @@
try:
from fastapi import APIRouter, Depends, HTTPException
from fastapi.security import OAuth2PasswordBearer, OAuth2PasswordRequestForm
- from pydantic import BaseModel, EmailStr
+ from pydantic import BaseModel
_FASTAPI_AVAILABLE = True
except ImportError: