Janady13/missionmatch / frontend/src/lib/types.ts

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Original record	Janady13/missionmatch / frontend/src/lib/types.ts
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Repository	Janady13/missionmatch
Revision	2178e7298d0e5d9af83afa12402fd587f0ba6ed8
Branch	feature/aioe-upgrade
Path or archive member	frontend/src/lib/types.ts
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// TypeScript mirrors of the Go API DTOs (internal/modules/matching). Scores are strings (decimal).

export type Band = 'green' | 'yellow' | 'red'
// ReadinessState is the per category state (a score bucket). MissionStatusCode is the overall mission
// readiness verdict, a distinct code space the backend emits as ready | review | recruiting; the two
// were conflated under one type, which hid review and recruiting and wrongly admitted partial and gap.
export type ReadinessState = 'ready' | 'partial' | 'gap'
export type MissionStatusCode = 'ready' | 'review' | 'recruiting'

export interface ComponentView {
  component: string
  weight: string
  raw: string
  weighted: string
  rationale: string
}

export interface MatchedSkillView {
  required_skill: string
  candidate_skill?: string
  similarity: string
  exact: boolean
  matched: boolean
}

export interface MatchResultView {
  candidate_id: string
  requirement_id: string
  total_score: string
  band: Band
  band_label: string
  components: Record<string, string>
  explanation: string
  gap_summary: string[]
  matched_skills: MatchedSkillView[]
  trace: ComponentView[]
  weight_profile_version: string
}

// One recorded outcome event, the closed loop feedback signal.
export interface OutcomeInput {
  module: string
  subjectType: string
  subjectId: string
  requirementId?: string
  eventType: string
  signalValue: number
  reasonCode: string
}

export interface AioeStatus {
  outcomesRecorded: number
  lastRunAt?: string
  lastRunOutcomesSeen?: number
  lastRunProfilesMoved?: number
  activeProfileVersion: string
  adjustmentsThisMonth: number
  updaterConfigured: boolean
  shadowMode: boolean
  pendingCandidateVersion?: string
}

export interface AioeAdjustment {
  dimension: string
  oldValue: string
  newValue: string
  producedVersion: number
  windowStart: string
  windowEnd: string
  outcomesUsed: number
  rationale: string
  createdAt: string
}

export interface TermView {
  id: string
  alias: string
  expansion: string
  global: boolean
  createdAt: string
}

export interface ReadinessCategory {
  name: string
  score: string
  weight: string
  state: ReadinessState
}

export interface MissionReadiness {
  status: string
  status_code: MissionStatusCode
  score: string
  band: Band
  categories: ReadinessCategory[]
}

export interface BattleCard {
  strengths: string[]
  gaps: string[]
}

export interface ClearanceIntel {
  current: string
  status: string
  sci_eligible: boolean
  ci_poly_eligible: boolean
  full_scope_poly: boolean
  expired: boolean
  investigation_age_months?: number
  expires_at?: string
  reinvestigation_due_at?: string
  recent_classified_support: boolean
  provenance: string
  provenance_label: string
  verified: boolean
  verified_at?: string
}

export interface RequirementArea {
  area: string
  met: boolean
}

export interface RiskArea {
  severity: 'warning' | 'info'
  message: string
}

export interface ContractReadiness {
  areas: RequirementArea[]
  risks: RiskArea[]
}

export interface WinImpact {
  level: string
  level_code: 'high' | 'medium' | 'low'
  staffing_strength: string
  reasons: string[]
}

export interface NextStep {
  action: string
  reason: string
}

export interface ScreenView {
  match: MatchResultView
  mission_readiness: MissionReadiness
  battle_card: BattleCard
  clearance_intelligence: ClearanceIntel
  contract_readiness: ContractReadiness
  win_impact: WinImpact
  next_steps: NextStep[]
}

export interface CandidateListView {
  id: string
  full_name: string
  clearance_level: string
  clearance_status: string
  years_experience: number
  location?: string
  available: boolean
}

export interface RequirementListView {
  id: string
  title: string
  required_level: string
  customer_agency?: string
  key_personnel: boolean
}

export interface SlateMemberView {
  candidate_id: string
  rank: number
  total_score: string
  band: Band
  band_label: string
  explanation: string
  gap_summary: string[]
}

export interface SlateResult {
  slate_id: string
  requirement_id: string
  name: string
  members: SlateMemberView[]
}

// slateMATCH list, detail, and proposal readiness views (read from the stored slate, never rescored).
export interface SlateSummaryView {
  slate_id: string
  name: string
  status: string
  member_count: number
  created_at: string
}

export interface SlateMemberDetailView {
  candidate_id: string
  full_name: string
  rank: number
  total_score: string
  band: Band
  band_label: string
  components: Record<string, string>
  explanation: string
  gap_summary: string[]
  decision: 'pending' | 'approved' | 'rejected'
  decision_note: string
}

export interface ProposalReadinessView {
  slate_id: string
  requirement_id: string
  total_members: number
  approved: number
  rejected: number
  pending: number
  proposal_ready: number
  potential: number
  recruiting: number
  approved_ready: number
  readiness_pct: string
  status: string
}

export interface SlateDetailView {
  slate_id: string
  requirement_id: string
  requirement_title: string
  name: string
  status: string
  members: SlateMemberDetailView[]
  readiness: ProposalReadinessView
}

// missionMATCH "who can support this mission today": read from the persisted screenMATCH evaluation.
export interface SupportView {
  candidate_id: string
  full_name: string
  total_score: string
  band: Band
  band_label: string
  available: boolean
  evaluated_at: string
}

// AEDT adverse impact report (the four fifths analysis). Every figure is computed from recorded
// outcomes joined to consented demographics by the compliance role; nothing is fabricated.
export interface ImpactRow {
  group: string
  considered: number
  selected: number
  rate: string
  impact_ratio: string
  flagged: boolean
}

export interface AnalysisSection {
  stage: string
  total_n: number
  unknown_count: number
  no_demographics_count: number
  by_gender: ImpactRow[]
  by_race_ethnicity: ImpactRow[]
  intersectional: ImpactRow[]
}

export interface AdverseImpactReport {
  generated_at: string
  data_from: string
  data_to: string
  source: string
  method: string
  selection: AnalysisSection
  screening: AnalysisSection
}

// CurationProposalView is one pending WS8 teaching curation proposal awaiting the two step human gate. It
// carries the skill pair by id and the evidence counts only, never any candidate fact. The compliance or
// operator user approves it (the first step, which stages an inert ontology edge), then verifies it (the
// second, distinct step, which activates the edge for future scores). Nothing is ever auto applied.
export interface CurationProposalView {
  id: string
  kind: string
  from_skill_id: string
  to_skill_id: string
  relation: string
  proposed_strength: string
  evidence_observations: number
  evidence_successes: number
  model_version: string
  status: string
  created_at: string
}

export interface OpportunityFitView {
  requirement_id: string
  title: string
  customer_agency?: string
  score: string
  band: Band
  status: string
}

// ---------- Mission Check (W1) ----------
// The Mission Check advisory recommendation. DO NOT SUBMIT is a derived label on the Red band.
export type MissionRecommendation = 'SUBMIT' | 'REVIEW' | 'DO NOT SUBMIT'

export interface MissionCheckFitRow extends OpportunityFitView {
  recommendation: MissionRecommendation
  recommendation_reason: string
}

// ParsedCandidate is what the extractor read from the resume, surfaced so the user can review and Save it.
export interface ParsedCandidate {
  full_name: string
  clearance_level: string
  clearance_poly: string
  clearance_status: string
  years_experience: number
  location: string
  skills: string[]
  certifications: string[]
  customer_experience: string[]
}

// ParsedRequirement is what the JD parsed to, so the Mode B requirement panel reflects what was scored.
export interface ParsedRequirement {
  title: string
  required_level: string
  customer_agency: string
  key_personnel: boolean
}

// Mode A: the resume scored against every open opportunity, ranked.
export interface MissionCheckModeAResult {
  rows: MissionCheckFitRow[]
  candidate: ParsedCandidate
  assumptions: string[]
  data_categories: string[]
}

// Mode B: the resume scored against one pasted job description. view is the exact ScreenView /screen returns.
export interface MissionCheckModeBResult {
  view: ScreenView
  recommendation: MissionRecommendation
  recommendation_reason: string
  candidate: ParsedCandidate
  requirement: ParsedRequirement
  assumptions: string[]
  data_categories: string[]
}

// SaveCandidateRequest is the reviewed, structured candidate the user chose to persist from a result.
// Clearance fields are DB codes; clearance is a self reported indicator the user confirmed, not verified.
export interface SaveCandidateRequest {
  full_name: string
  clearance_level: string
  clearance_poly: string
  clearance_status: string
  years_experience: number
  location: string
  remote: boolean
  relocatable: boolean
  available: boolean
  skills: string[]
  certifications: string[]
  customer_experience: string[]
}

export interface RankedCandidateView {
  candidate_id: string
  full_name: string
  clearance_level: string
  clearance_status: string
  years_experience: number
  location?: string
  available: boolean
  score: string
  band: Band
  status: string
}

// ---- SAM.gov Contract Opportunities (cached federal opportunity feed) ----
export interface SamPOC {
  type?: string
  fullName?: string
  title?: string
  email?: string
  phone?: string
  fax?: string
}
export interface SamOpportunity {
  notice_id: string
  title: string
  solicitation_number: string
  department: string
  sub_agency: string
  full_agency_path: string
  naics_code: string
  psc_code: string
  set_aside_code: string
  set_aside: string
  type: string
  posted_date: string
  response_deadline: string
  active: boolean
  place_of_performance: { city: string; state: string; zip: string }
  ui_link: string
  description_url: string
  resource_links: string[]
  point_of_contact: SamPOC[]
  source: string
  synced_at: string
}
export interface OpportunityFilters {
  naics?: string[]
  set_aside?: string[]
  state?: string[]
  department?: string[]
  sub_agency?: string[]
  q?: string
  active_only?: boolean
  limit?: number
}

// ---- USASpending federal awards (incumbent intel + Galapagos past performance) ----
export interface FederalAward {
  award_uid: string
  award_id: string
  recipient_name: string
  recipient_uei: string
  award_amount: string
  awarding_agency: string
  awarding_sub_agency: string
  pop_start_date: string
  pop_end_date: string
  naics_code: string
  naics_description: string
  description: string
  is_galapagos: boolean
  source: string
  synced_at: string
}

// ---- BLS OEWS regional wage baseline ----
export interface WageArea {
  area: string
  area_name: string
  annual_mean: string
  annual_median: string
}
export interface WageBaseline {
  occupation_code: string
  occupation_title: string
  role: string
  year: string
  areas: WageArea[]
  source: string
  synced_at: string
}

// ---- External candidate sourcing (People Data Labs) ----
export interface ExternalCandidate {
  id: string
  full_name: string
  email: string
  headline: string
  location: string
  years_experience: number
  available: boolean
  external_id: string
  source: string
  clearance: string
  created_at: string
}
export interface SourcingLogEntry {
  id: string
  candidate_id: string
  external_id: string
  source: string
  provider: string
  legal_basis: string
  collected_at: string
}

// ---- Candidate workforce intelligence (computed, never hardcoded) ----
export interface IntelClearance {
  level: string
  status: string
  sci_eligible: boolean
  sci_known: boolean
  investigation_year?: string
  provenance: string
  verified: boolean
  available: boolean
}
export interface IntelReadiness {
  score: string
  band: Band
  status: string
}
export interface IntelProposal {
  value: string // YES or REVIEW
  reason: string
}
export interface IntelWinImpact {
  level: string // HIGH, MEDIUM, LOW
  basis: string
}
export interface IntelBestFit {
  requirement_id: string
  name: string
  customer_agency?: string
  score: string
  band: Band
}
export interface CandidateIntelligence {
  id: string
  full_name: string
  source: string // seed or external
  headline?: string
  years_experience: number
  location?: string
  available: boolean
  clearance: IntelClearance
  mission_readiness: IntelReadiness
  proposal_ready: IntelProposal
  win_impact: IntelWinImpact
  best_fit: IntelBestFit
  labor_category_coverage: string[]
}

// ---- Workforce Command Center ----
export interface CCBanner {
  total_cleared_workforce: number
  available_candidates: number
  proposal_ready_candidates: number
  active_requirements: number
  staffing_gaps: number
  high_risk_opportunities: number
}
export interface CCDriver { key: string; label: string; pct: string; state: ReadinessState; weight: string }
export interface CCMissionReadiness {
  score: string
  band: Band
  status: string
  drivers: CCDriver[]
  availability_req_coverage: string
  flags: string[]
}
export interface CCOpportunity {
  opportunity_id: string
  name: string
  customer_agency?: string
  solicitation_number?: string
  due_date?: string
  value: string | null
  readiness_score: string
  total_requirements: number
  covered_requirements: number
  headcount_needed: number
  headcount_covered: number
  key_personnel_open: number
  staffing_risk: string
  staffing_risk_code: 'high' | 'medium' | 'low'
}
export interface CCGap {
  labor_category: string
  required_level: string
  required_level_label: string
  unmet: number
  blocks_key_personnel: boolean
  impacted_opportunities: string[]
  value_at_risk: string | null
  priced_opportunities: number
  unpriced_opportunities: number
  total_opportunities: number
  value_representative: boolean
  value_basis: string
  impact_modeled_pct: string
  impact_modeled_label: string
  headline: string
  recommendation: string
}
export interface CCLevelCount { level: string; label: string; total: number; available: number }
export interface CCPolyCount { poly: string; label: string; total: number; available: number }
export interface CCExpiryAlert {
  candidate_id: string
  full_name: string
  clearance_level: string
  days_until_expiry: number
  severity: 'critical' | 'warning' | 'info'
}
export interface CCClearanceIntel {
  inventory_by_level: CCLevelCount[]
  inventory_by_poly: CCPolyCount[]
  availability_windows: { now: number; d30: number; d60: number; d90: number }
  expiring: {
    expired: number
    due_30: number
    due_60: number
    due_90: number
    reinvestigation_overdue: number
    alerts: CCExpiryAlert[]
  }
}
export interface CCLcatCoverage { labor_category: string; filled: number; demanded: number; coverage: string; color: Band }
export interface CCOppRef { opportunity_id: string; name: string }
export interface CCProposalReadiness {
  ready: number
  at_risk: number
  key_personnel_missing: number
  labor_categories_missing: number
  ready_opportunities: CCOppRef[]
  at_risk_opportunities: CCOppRef[]
  key_personnel_missing_opportunities: CCOppRef[]
  labor_categories_missing_opportunities: CCOppRef[]
}
export interface CCWinCandidate {
  candidate_id: string
  full_name: string
  clearance_level: string
  poly: string
  years_experience: number
}
export interface CCHeatMetro { metro: string; total: number; available: number; cleared: number }
export interface CCRecommendation {
  severity: 'high' | 'medium' | 'low'
  message: string
  action_target: string
  related_ids: string[]
  source_ref: string
}
export interface CCLaunch { product: string; action: string; label: string; route: string }
// CCUpcomingOpportunity is one planning stage forecast surfaced beside the current readiness. It never
// changes the current numbers. available_cleared_in_state is a real bench count; the comparable
// requirement coverage is the engine backed eligibility of the org's similar requirements; fit_note
// states honestly that a bare forecast has no precise match score.
export interface CCUpcomingOpportunity {
  record_id: string
  title: string
  agency: string
  naics?: string
  place_of_performance?: string
  state?: string
  set_aside?: string
  estimated_value: string | null
  estimated_award_date?: string
  incumbent_name?: string
  planning_note: string
  available_cleared_in_state: number
  comparable_requirements: number
  comparable_covered: number
  fit_note: string
  adoptable: boolean
}

// CCIncumbentRef is one incumbent and award context row from the contract award feed.
export interface CCIncumbentRef {
  record_id: string
  incumbent: string
  incumbent_uei?: string
  agency: string
  naics?: string
  value: string | null
  value_source?: string
  award_date?: string
  source: string
}

// AdoptForecastInput turns a forecast into a real requirement the engine scores.
export interface AdoptForecastInput {
  required_level: string
  required_poly: string
  required_years: number
  key_personnel: boolean
  skills: string[]
}
export interface AdoptForecastResult {
  requirement_id: string
  title: string
}

// ---- AI Brain (the closed Registry, grounded mission brain) ----
// AskRequest is the free text question the Ask panel sends. The intent and args fields exist on the
// backend contract but the panel never sets them; a plain question is routed by the brain itself.
export interface AskRequest {
  question: string
  intent?: string
  args?: Record<string, unknown>
}
// AskAnswer is a grounded answer. path names the retrieval route the brain took (closed answer, tool,
// retrieval, or graph walk). faithful states whether the answer stayed inside its cited evidence, and
// citations lists the grounding rows. fallback_reason is present only when the brain stepped down a route.
export interface AskAnswer {
  answer: string
  path: 'cag' | 'tag' | 'rag' | 'graph'
  rationale_source: string
  citations: string[]
  faithful: boolean
  evidence_count: number
  fallback_reason?: string
}

export interface CommandCenterView {
  as_of: string
  organization_id: string
  generated_at: string
  meta: { empty: boolean; notes: string[] }
  banner: CCBanner
  mission_readiness: CCMissionReadiness
  active_opportunities: CCOpportunity[]
  staffing_gaps: CCGap[]
  clearance_intelligence: CCClearanceIntel
  labor_category_coverage: CCLcatCoverage[]
  proposal_readiness: CCProposalReadiness
  win_impact: { high_impact_count: number; top: CCWinCandidate[] }
  heat_map: CCHeatMetro[]
  upcoming_opportunities: CCUpcomingOpportunity[]
  incumbent_landscape: CCIncumbentRef[]
  ai_recommendations: CCRecommendation[]
  action_center: {
    suggested_requirement_id: string | null
    suggested_opportunity_id: string | null
    open_opportunities_without_slate: number
    requirements_unscreened: number
    launch: CCLaunch[]
  }
  executive_cards: CCExecutiveCard[]
}

export interface CCExecutiveCard {
  key: string
  title: string
  value: string
  detail: string
  state: string
  no_data: boolean
  data_note?: string
}

// ---------------------------------------------------------------------------
// recruitMATCH. Mirrors internal/modules/recruitmatch. Counts are integers and
// every percentage is a decimal string, so convert with num() at render time.
// The backend deliberately emits no color: color is presentation and lives here.
// ---------------------------------------------------------------------------

export interface RMHeadline {
  active_jobs: number
  identified: number
  screened: number
  submitted: number
  approved: number
  on_bench: number
}

// Pct is this stage as a share of identified. The backend guarantees the sequence
// is non increasing, so a stage can never render wider than the one before it.
export interface RMFunnelStage {
  key: string
  label: string
  count: number
  pct: string
}

// Decisions count slate MEMBERSHIPS, not people, which is why they sit apart from
// the funnel. approve_rate excludes pending members from its denominator.
export interface RMDecisions {
  approved: number
  rejected: number
  pending: number
  total: number
  approve_rate: string
}

export interface RMBandMix {
  green: number
  yellow: number
  red: number
  total: number
}

export interface RMClearanceRow {
  code: string
  label: string
  count: number
  pct: string
}

export interface RMTopJob {
  requirement_id: string
  title: string
  customer_agency?: string
  required_level: string
  submitted: number
}

export interface RMRecruiterRow {
  user_id: string
  full_name: string
  screened: number
  decided: number
  approved: number
}

// EmptyPanel names a panel the product intends to show and the feed it still needs.
export interface RMEmptyPanel {
  key: string
  title: string
  reason: string
}

export interface RMView {
  as_of: string
  organization_id: string
  generated_at: string
  headline: RMHeadline
  funnel: RMFunnelStage[]
  decisions: RMDecisions
  band_mix: RMBandMix
  clearance: RMClearanceRow[]
  top_jobs: RMTopJob[]
  recruiters: RMRecruiterRow[]
  empty_panels: RMEmptyPanel[]
}

// Mirrors internal/modules/alerts. Every field crosses the wire as a string.
// Populated by the scheduled alert-sweep job, so this feed has data before a
// recruiter has done anything in the product.
export interface Alert {
  id: string
  alert_type: string
  severity: string
  subject_type?: string
  subject_id: string
  title: string
  detail?: string
  status: string
  created_at: string
  updated_at: string
}

// Mirrors internal/modules/staffing RecommendationView, trimmed to what the panel renders.
// rationale_source is 'deterministic' when the model could not be reached or its prose failed
// the faithfulness check, so the UI can always say whether a human is reading generated text.
export interface RecommendationView {
  id: string
  requirement_id: string
  candidate_id: string
  action: string
  rank: number
  confidence: string
  rationale: string
  rationale_source: string
  status: string
  created_at: string
}

export interface ProactiveResponse {
  recommendations: RecommendationView[]
  limit: number
  offset: number
}

// Mirrors internal/modules/org. Branding is per organization so the application white labels for every
// client. logo_etag changes with the bytes, so it is a safe cache buster in an image URL.
export interface OrgBranding {
  organization_id: string
  name: string
  display_name: string
  has_logo: boolean
  logo_etag?: string
  logo_updated_at?: string
}

// ---------------------------------------------------------------------------
// recruiting: clients and contacts. Mirrors internal/modules/recruiting.
// updated_at is both a display value and the optimistic concurrency token; it
// must be sent back on every update or the write is refused.
// ---------------------------------------------------------------------------

export interface RClient {
  id: string
  name: string
  uei?: string
  industry?: string
  website?: string
  status: string
  notes?: string
  contact_count: number
  owner_user_id?: string
  owner_name?: string
  owner_since?: string
  created_at: string
  updated_at: string
}

export interface RContact {
  id: string
  client_id: string
  full_name: string
  title?: string
  email?: string
  phone?: string
  is_hiring_manager: boolean
  is_primary: boolean
  status: string
  created_at: string
  updated_at: string
}

export interface RClientDetail extends RClient {
  contacts: RContact[]
}

export interface RClientList {
  clients: RClient[]
  limit: number
  offset: number
  total: number
}

// Requisitions. Money arrives as a decimal string, never a number, because a JSON number is a float64
// and a bill rate multiplied downstream must be exactly the rate that was agreed.
export type RRequisition = {
  id: string
  client_id?: string
  client_name?: string
  hiring_manager_id?: string
  hiring_manager_name?: string
  owner_user_id?: string
  owner_name?: string
  requirement_id?: string
  title: string
  description?: string
  labor_category?: string
  openings: number
  priority: string
  employment_type: string
  status: string
  required_level: string
  required_poly: string
  work_location?: string
  remote_allowed: boolean
  bill_rate_min?: string
  bill_rate_max?: string
  pay_rate_min?: string
  pay_rate_max?: string
  salary_min?: string
  salary_max?: string
  opened_at: string
  target_fill_date?: string
  closed_at?: string
  on_hold_since?: string
  // Three clocks. age is the wall clock a client sees, working removes time spent on hold, held is the
  // difference, shown so neither number has to be taken on trust.
  age_days: number
  working_days: number
  held_days: number
  // Negative means the target has passed. Absent means no target was set, which is not the same as zero.
  days_to_target?: number
  created_at: string
  updated_at: string
}

export type RRequisitionEvent = {
  id: string
  from_status?: string
  to_status: string
  days_in_from: number
  note?: string
  actor_user_id?: string
  actor_user_name?: string
  occurred_at: string
}

export type RRequisitionDetail = RRequisition & { events: RRequisitionEvent[] }

export type RRequisitionList = {
  requisitions: RRequisition[]
  limit: number
  offset: number
  total: number
}

// Pipeline. The funnel counts high water marks, so it is monotone by construction; the board columns
// count who is at each stage right now. Those are different questions with deliberately different answers.
export type RApplication = {
  id: string
  requisition_id: string
  requisition_title?: string
  client_name?: string
  candidate_id: string
  candidate_name: string
  clearance_level: string
  available: boolean
  stage: string
  stage_label: string
  furthest_stage: string
  furthest_stage_label: string
  disposition_code?: string
  disposition_reason?: string
  owner_user_id?: string
  owner_name?: string
  source_first_touch?: string
  source_last_touch?: string
  stage_changed_at: string
  days_in_stage: number
  created_at: string
  updated_at: string
}

export type RStageEvent = {
  id: string
  from_stage?: string
  from_stage_label?: string
  to_stage: string
  to_stage_label: string
  days_in_from: number
  reason?: string
  disposition_code?: string
  actor_user_id?: string
  actor_name?: string
  occurred_at: string
}

export type RApplicationDetail = RApplication & { events: RStageEvent[] }

export type RFunnelStage = { stage: string; label: string; count: number; pct: string }
export type RConversion = { from: string; to: string; from_label: string; to_label: string; rate: string }
export type RDisposition = { code: string; stage: string; count: number; pct: string }
export type RStageColumn = { stage: string; label: string; count: number; applications: RApplication[] }

export type RPipelineBoard = {
  requisition_id: string
  requisition_title: string
  openings: number
  placed: number
  seats_left: number
  total: number
  active: number
  columns: RStageColumn[]
  funnel: RFunnelStage[]
  conversion: RConversion[]
  dispositions: RDisposition[]
}

export type RDispositionOption = { code: string; outcome: string; label: string }
export type RDispositionCatalog = { dispositions: RDispositionOption[]; stages: RFunnelStage[] }

export type RApplicationList = {
  applications: RApplication[]
  limit: number
  offset: number
  total: number
}

// Assignments. Money is a decimal string, never a JSON number, because a rate that round tripped
// through a float64 would not reconcile with an invoice.
export type RMargin = { gross_per_hour?: string; margin_pct?: string; fee?: string }
export type RGuarantee = { days: number; ends_on?: string; days_remaining?: number; breached: boolean }

export type RInterview = {
  id: string
  application_id: string
  candidate_name?: string
  round: number
  kind: string
  scheduled_at?: string
  completed_at?: string
  outcome: string
  interviewer?: string
  notes?: string
  created_at: string
  updated_at: string
}

export type ROffer = {
  id: string
  application_id: string
  candidate_name?: string
  status: string
  employment_type: string
  bill_rate?: string
  pay_rate?: string
  salary?: string
  fee_pct?: string
  margin: RMargin
  extended_at: string
  responded_at?: string
  expires_at?: string
  decline_reason?: string
  next_statuses: string[]
  created_at: string
  updated_at: string
}

export type RPlacement = {
  id: string
  application_id: string
  offer_id?: string
  candidate_id?: string
  candidate_name?: string
  requisition_id?: string
  requisition_title?: string
  client_name?: string
  status: string
  employment_type: string
  start_date: string
  end_date?: string
  bill_rate?: string
  pay_rate?: string
  salary?: string
  fee_amount?: string
  margin: RMargin
  guarantee: RGuarantee
  live: boolean
  created_at: string
  updated_at: string
}

export type RAssignment = {
  application_id: string
  candidate_name: string
  stage: string
  stage_label: string
  interviews: RInterview[]
  offers: ROffer[]
  placements: RPlacement[]
}

export type RPlacementList = { placements: RPlacement[]; limit: number; offset: number; total: number }

// Recruiter activity. auto_captured is output only: the log input type has no such field, so a caller
// cannot claim their manual entry was recorded by the platform.
export type RActivity = {
  id: string
  actor_user_id?: string
  actor_name?: string
  kind: string
  direction: string
  outcome: string
  candidate_id?: string
  candidate_name?: string
  contact_id?: string
  requisition_id?: string
  requisition_title?: string
  application_id?: string
  body?: string
  auto_captured: boolean
  occurred_at: string
  created_at: string
}

export type RActivityList = { activities: RActivity[]; limit: number; offset: number; total: number }

export type RRecruiterEffort = {
  user_id?: string
  name: string
  logged: number
  connects: number
  // Absent rather than "0.00" when nothing was logged, because a zero rate on no attempts claims a
  // failure that did not happen.
  connect_rate?: string
  captured: number
}

export type RActivitySummary = {
  since: string
  total_logged: number
  total_connects: number
  total_captured: number
  connect_rate?: string
  recruiters: RRecruiterEffort[]
  by_kind: { kind: string; count: number }[]
}

// Tasks. Buckets are computed in the organization's timezone, so "today" is the working day rather
// than a UTC day. An evening task due today does not read as due tomorrow.
export type RTask = {
  id: string
  title: string
  detail?: string
  status: string
  priority: string
  assigned_to?: string
  assignee_name?: string
  due_at?: string
  completed_at?: string
  bucket: 'overdue' | 'today' | 'soon' | 'later' | 'none'
  // Negative when overdue. Absent when there is no due date, which is not the same as zero.
  due_in_days?: number
  candidate_id?: string
  candidate_name?: string
  requisition_id?: string
  requisition_title?: string
  application_id?: string
  contact_id?: string
  created_at: string
  updated_at: string
}

export type RTaskQueue = {
  time_zone: string
  overdue: number
  today: number
  soon: number
  later: number
  no_due_date: number
  unassigned: number
  tasks: RTask[]
}

export type RTaskList = { tasks: RTask[]; limit: number; offset: number; total: number }

// Analytics. Time to fill keeps still-open requisitions in the calculation as right-censored
// observations, so the median is not biased low by excluding everything that has not filled yet.
export type RSurvivalPoint = { days: string; at_risk: number; filled: number; surviving: string }

export type RTimeToFill = {
  cohort: number
  filled: number
  still_open: number
  // The figure every other tool shows, computed over filled orders only. Biased low.
  naive_median_days?: string
  // The corrected figure. Absent when fewer than half the cohort has filled, which is the honest answer.
  median_days?: string
  median_reached: boolean
  curve: RSurvivalPoint[]
}

export type RFillRate = {
  filled: number
  closed_unfilled: number
  cancelled: number
  still_open: number
  rate_of_resolved?: string
  rate_of_decided?: string
  suppressed: boolean
}

export type RAgingBucket = { label: string; min_days: number; max_days: number; count: number }
export type RSourceEffect = { source: string; applications: number; placed: number; rate?: string; suppressed: boolean }
export type RPlacementSummary = {
  live: number
  started: number
  ended: number
  fell_off: number
  guarantee_breaches: number
  contract_gross_per_hour?: string
  direct_hire_fees?: string
}

export type RAnalytics = {
  since: string
  time_zone: string
  time_to_offer: RTimeToFill
  time_to_start: RTimeToFill
  worked_time_to_start: RTimeToFill
  fill_rate: RFillRate
  aging: RAgingBucket[]
  oldest_open_days: number
  funnel: RFunnelStage[]
  conversion: RConversion[]
  sources: RSourceEffect[]
  recruiters: RRecruiterEffort[]
  placements: RPlacementSummary
}

// Reporting. Periods are bucketed in the organization's timezone, and fiscal_quarter is the US FEDERAL
// fiscal quarter, which begins 1 October.
export type RPeriodRow = {
  start: string
  label: string
  opened: number
  filled: number
  submissions: number
  placements: number
  activities: number
  connects: number
  connect_rate?: string
}

export type RReport = {
  period: string
  since: string
  time_zone: string
  rows: RPeriodRow[]
  totals: RPeriodRow
}