AI-Sandb-Evaluation/processes/L4/vdaa.mi.sandbox.atlase/resources/mappings.yaml

# UAPF Resource Mappings — vdaa.mi.sandbox.atlase v0.2.0
# Format: targets (who/what) + bindings (what does what)

targets:
  # Human roles
  - id: role.case_officer
    type: human_role
    name: "Centra lietvedības darbinieks"
    description: "Reģistrē iesniegumus, pārbauda pilnīgumu, nosūta kompetentajām institūcijām"

  - id: role.commission
    type: human_role
    name: "Vērtēšanas komisija"
    description: "Nolikuma 16.p. — izveidota ar Centra direktora rīkojumu"

  - id: role.external_expert
    type: human_role
    name: "Ārējais eksperts"
    description: "Nolikuma 19.p. — var piesaistīt vērtēšanas vajadzībām"

  - id: role.competent_authority
    type: human_role
    name: "Kompetentā institūcija"
    description: "Nolikuma 2.10.p. — sniedz atzinumu par projekta iesniegumu"

  # Systems
  - id: system.dmn_engine
    type: system_api
    name: "DMN izpildes dzinējs"
    description: "Izpilda lēmumu tabulas (atbilstība, punktu aprēķins, TRL kartējums)"

  - id: system.audit_log
    type: system_api
    name: "Audita žurnāls"
    description: "Reģistrē visus procesa notikumus ar laika zīmogu"

  # AI agents
  - id: agent.evaluation_assistant
    type: ai_agent
    name: "MI vērtēšanas asistents (demo)"
    description: >-
      AI aģents, kas veic iepriekšējo novērtējumu pirms komisijas sēdes:
      pārbauda TRL līmeni, analizē inovācijas pamatojumu, novērtē regulatīvās
      vides nepieciešamību. Darbojas tikai kā palīgs — galīgais lēmums ir komisijas.
    constraints:
      mode: assisted
      humanOversight: mandatory
      outputType: recommendation-only
      guardrails: guardrails/ai-evaluation-rules.yaml

  # MCP tools
  - id: mcp.check_eligibility
    type: mcp_tool
    name: "check_eligibility"
    endpoint: "dmn/01-atbilstiba-un-izsledzosie.dmn.xml#EligibilityDecision"

  - id: mcp.calculate_score
    type: mcp_tool
    name: "calculate_score"
    endpoint: "dmn/02-vertesanas-punkti.dmn.xml#TotalScore"

  - id: mcp.map_trl
    type: mcp_tool
    name: "map_trl_level"
    endpoint: "dmn/03-trl-vertejums.dmn.xml#TRLMapping"

bindings:
  # Phase 1: Registration
  - source: {type: bpmn.userTask, ref: Task_Register}
    targetId: role.case_officer
    mode: manual
    output: applicationRegistered

  - source: {type: bpmn.businessRuleTask, ref: Task_EligibilityDMN}
    targetId: system.dmn_engine
    mode: autonomous
    usesDecision: dmn/01-atbilstiba-un-izsledzosie.dmn.xml#EligibilityDecision
    output: eligibilityResult

  # Phase 1b: Deficiency correction
  - source: {type: bpmn.sendTask, ref: Task_RequestFix}
    targetId: role.case_officer
    mode: manual
    output: deficiencyRequest

  # Phase 2: Expert opinions
  - source: {type: bpmn.sendTask, ref: Task_SendToAuthority}
    targetId: role.case_officer
    mode: manual
    output: opinionRequest

  - source: {type: bpmn.receiveTask, ref: Task_ReceiveOpinion}
    targetId: role.competent_authority
    mode: manual
    output: expertOpinions

  # Phase 3: Commission evaluation
  - source: {type: bpmn.userTask, ref: Task_CommissionScoring}
    targetId: role.commission
    mode: manual
    assistedBy:
      - role.external_expert
      - agent.evaluation_assistant
    output: commissionRatings

  - source: {type: bpmn.businessRuleTask, ref: Task_TRLMapping}
    targetId: system.dmn_engine
    mode: autonomous
    usesDecision: dmn/03-trl-vertejums.dmn.xml#TRLMapping
    output: trlScore

  - source: {type: bpmn.businessRuleTask, ref: Task_ScoringDMN}
    targetId: system.dmn_engine
    mode: autonomous
    usesDecision: dmn/02-vertesanas-punkti.dmn.xml#TotalScore
    output: scoringResult

  # Phase 4: Decision
  - source: {type: bpmn.userTask, ref: Task_PrepareDecision}
    targetId: role.commission
    mode: manual
    output: decisionRecommendation

  - source: {type: bpmn.sendTask, ref: Task_NotifyApplicant}
    targetId: role.case_officer
    mode: manual
    output: decisionNotification

  # CMMN discretionary bindings
  - source: {type: cmmn.humanTask, ref: HT_ExternalExpert}
    targetId: role.external_expert
    mode: manual
    discretionary: true

  - source: {type: cmmn.processTask, ref: PT_AIPreAssessment}
    targetId: agent.evaluation_assistant
    mode: assisted
    discretionary: true
    guardrails: guardrails/ai-evaluation-rules.yaml

audit:
  logTarget: system.audit_log
  events:
    - {event: application-received, phase: registration}
    - {event: eligibility-evaluated, phase: formal-check}
    - {event: deficiency-requested, phase: formal-check}
    - {event: deficiency-resolved, phase: formal-check}
    - {event: sent-to-authorities, phase: expert-opinion}
    - {event: opinions-received, phase: expert-opinion}
    - {event: ai-pre-assessment-run, phase: commission, aiRelevant: true}
    - {event: commission-scores-entered, phase: commission}
    - {event: scores-calculated, phase: scoring}
    - {event: decision-prepared, phase: decision}
    - {event: decision-issued, phase: decision}