import {z} from 'zod'

export type GetApiV1SessionsSessionIdAnalysisInputArgs = {session_id: string};

export type GetApiV1SessionsSessionIdAnalysisInputOptions = {baseUrl: string, APIKeyHeader?: string | undefined, fetch?: typeof fetch | undefined};

export const knowledgeGapAnalysisOutcome = z.enum(["resolved", "unresolved", "transferred", "expired", "error", "abandoned", "voicemail", "escalated", "call_failed"]);

export const toolCallFunction = z.object({name: z.string(), arguments: z.string()});

export const toolCall = z.object({id: z.string(), type: z.string().optional(), function: toolCallFunction});

export const toolResult = z.object({tool_call_id: z.string(), output: z.string(), error: z.string().nullable().optional()});

export const messageEntry = z.object({turn_id: z.string(), role: z.string(), timestamp: z.string(), content: z.string(), tool_calls: z.array(toolCall).nullable().optional(), tool_results: toolResult.nullable().optional(), model_used: z.string().nullable().optional(), latency_ms: z.number().int().nullable().optional(), truncated: z.boolean().optional(), original_char_count: z.number().int().nullable().optional()});

export const retrievedChunk = z.object({chunk_id: z.string(), doc_id: z.string(), version_id: z.string().nullable().optional(), score: z.number().nullable().optional()});

export const ragTraceAnswerability = z.object({label: z.string().nullable().optional(), reason_code: z.string().nullable().optional(), raw_top_score: z.number().nullable().optional(), score_basis: z.string().nullable().optional(), mode: z.string().nullable().optional(), action: z.string().nullable().optional(), threshold_low: z.number().nullable().optional(), threshold_high: z.number().nullable().optional()});

export const ragTraceEntry = z.object({rag_query_id: z.string(), assistant_turn_id: z.string(), query_hash: z.string().nullable().optional(), kb_ids: z.array(z.string()).optional(), retrieved: z.array(retrievedChunk).optional(), top_score: z.number().nullable().optional(), hit: z.boolean().nullable().optional(), latency_ms: z.number().int().nullable().optional(), answerability: ragTraceAnswerability.nullable().optional()});

export const citedChunk = z.object({assistant_turn_id: z.string(), kb_id: z.string(), doc_id: z.string(), chunk_id: z.string(), version_id: z.string().nullable().optional()});

export const toolCallEntry = z.object({tool_call_id: z.string(), assistant_turn_id: z.string(), name: z.string(), arguments: z.string(), arguments_parsed: z.unknown(), result: z.string().nullable().optional(), error: z.string().nullable().optional(), latency_ms: z.number().int().nullable().optional()});

export const handoffEvent = z.object({timestamp: z.string(), transferred_to_agent_id: z.string().nullable().optional(), reason: z.string().nullable().optional()});

export const kbSnapshotEntry = z.object({captured_at: z.string(), kb_versions: z.record(z.string(), z.number().int()).optional()});

export const feedbackEntry = z.object({timestamp: z.string(), rating: z.number().int().nullable().optional(), comment: z.string().nullable().optional()});

export const cSATEntry = z.object({timestamp: z.string(), score: z.number().int(), scale_max: z.number().int().optional()});

export const reopenEntry = z.object({timestamp: z.string(), reason: z.string().nullable().optional()});

export const missingEvidenceReason = z.enum(["no_rag_trace", "no_kb_snapshot", "no_citations", "no_tool_trace", "no_csat", "no_user_feedback", "transcript_redaction_skipped", "legacy_session"]);

export const sessionAnalysisInput = z.object({analyzer_input_schema_version: z.number().int().optional(), session_id: z.string(), organization_id: z.string(), agent_id: z.string().nullable(), channel: z.string(), started_at: z.string(), ended_at: z.string().nullable(), completion_reason: z.string().nullable(), knowledge_gap_analysis_outcome: knowledgeGapAnalysisOutcome.nullable(), messages: z.array(messageEntry).optional(), rag_traces: z.array(ragTraceEntry).optional(), citations: z.array(citedChunk).optional(), tool_calls: z.array(toolCallEntry).optional(), handoff_events: z.array(handoffEvent).optional(), kb_snapshot: kbSnapshotEntry.nullable().optional(), user_feedback: feedbackEntry.nullable().optional(), csat: cSATEntry.nullable().optional(), reopen: reopenEntry.nullable().optional(), customer_metadata: z.record(z.string(), z.unknown()).nullable().optional(), missing_evidence_reasons: z.array(missingEvidenceReason).optional()});

export const validateResponse = async <Output>(
  schema: {
    readonly '~standard': {
      readonly validate: (value: unknown) => ({ readonly value: Output; readonly issues?: undefined } | { readonly issues: ReadonlyArray<{ readonly message: string; readonly path?: ReadonlyArray<PropertyKey | { readonly key: PropertyKey }> | undefined }> }) | Promise<{ readonly value: Output; readonly issues?: undefined } | { readonly issues: ReadonlyArray<{ readonly message: string; readonly path?: ReadonlyArray<PropertyKey | { readonly key: PropertyKey }> | undefined }> }>
    }
  },
  value: unknown
): Promise<Output> => {
  const result = await schema['~standard'].validate(value)

  if (result.issues !== undefined) {
    const detail = result.issues
      .map(({ message, path }) =>
        path?.length
          ? `${path.map((segment) => String(typeof segment === 'object' ? segment.key : segment)).join('.')}: ${message}`
          : message
      )
      .join('; ')

    throw new Error(`Response does not match the schema: ${detail}`, { cause: { issues: result.issues } })
  }

  return result.value
};

/**
 * Fetch the canonical analysis input for a completed session
 * 
 * GET /v1/sessions/{session_id}/analysis-input
 */
export const getApiV1SessionsSessionIdAnalysisInput = async (args: GetApiV1SessionsSessionIdAnalysisInputArgs, options: GetApiV1SessionsSessionIdAnalysisInputOptions) => {
const {baseUrl, fetch: fetchFn = fetch, APIKeyHeader} = options ?? {}

const query = new URLSearchParams()
const headers = new Headers()
headers.set('accept', "application/json")

if (APIKeyHeader !== undefined) headers.set("x-api-key", APIKeyHeader)

const url = `${baseUrl.replace(/\/+$/, '')}/v1/sessions/${encodeURIComponent(String(args.session_id))}/analysis-input${query.size > 0 ? `?${query}` : ''}`

const res = await fetchFn(url, {method: "GET", headers})

if (!res.ok) throw new Error(`Request failed with status ${res.status}`, {cause: {status: res.status, body: await res.text()}})

return validateResponse(sessionAnalysisInput, await res.json())
};