Add background filtering jobs, improved date picker, AI reasoning display

- Implement background job system for AI filtering to avoid HTTP timeouts
- Add FilteringJob model to track progress of long-running filtering operations
- Add real-time progress polling for filtering operations on round details page
- Create custom DateTimePicker component with calendar popup (no year picker hassle)
- Fix round date persistence bug (refetchOnWindowFocus was resetting form state)
- Integrate filtering controls into round details page for filtering rounds
- Display AI reasoning for flagged/filtered projects in results table
- Add onboarding system scaffolding (schema, routes, basic UI)
- Allow setting round dates in the past for manual overrides

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

src/server/services/ai-filtering.ts

@@ -22,7 +22,16 @@ import {
   type AnonymizedProjectForAI,
   type ProjectAIMapping,
 } from './anonymization'
-import type { Prisma, FileType, SubmissionSource } from '@prisma/client'
+import type { Prisma, FileType, SubmissionSource, PrismaClient } from '@prisma/client'
+
+// ─── Progress Callback Type ─────────────────────────────────────────────────
+
+export type ProgressCallback = (progress: {
+  currentBatch: number
+  totalBatches: number
+  processedCount: number
+  tokensUsed?: number
+}) => Promise<void>
 
 // ─── Types ──────────────────────────────────────────────────────────────────
 
@@ -410,7 +419,8 @@ export async function executeAIScreening(
   config: AIScreeningConfig,
   projects: ProjectForFiltering[],
   userId?: string,
-  entityId?: string
+  entityId?: string,
+  onProgress?: ProgressCallback
 ): Promise<Map<string, AIScreeningResult>> {
   const results = new Map<string, AIScreeningResult>()
 
@@ -444,13 +454,15 @@ export async function executeAIScreening(
     }
 
     let totalTokens = 0
+    const totalBatches = Math.ceil(anonymized.length / BATCH_SIZE)
 
     // Process in batches
     for (let i = 0; i < anonymized.length; i += BATCH_SIZE) {
       const batchAnon = anonymized.slice(i, i + BATCH_SIZE)
       const batchMappings = mappings.slice(i, i + BATCH_SIZE)
+      const currentBatch = Math.floor(i / BATCH_SIZE) + 1
 
-      console.log(`[AI Filtering] Processing batch ${Math.floor(i / BATCH_SIZE) + 1}/${Math.ceil(anonymized.length / BATCH_SIZE)}`)
+      console.log(`[AI Filtering] Processing batch ${currentBatch}/${totalBatches}`)
 
       const { results: batchResults, tokensUsed } = await processAIBatch(
         openai,
@@ -468,6 +480,16 @@ export async function executeAIScreening(
       for (const [id, result] of batchResults) {
         results.set(id, result)
       }
+
+      // Report progress
+      if (onProgress) {
+        await onProgress({
+          currentBatch,
+          totalBatches,
+          processedCount: Math.min((currentBatch) * BATCH_SIZE, anonymized.length),
+          tokensUsed: totalTokens,
+        })
+      }
     }
 
     console.log(`[AI Filtering] Completed. Total tokens: ${totalTokens}`)
@@ -513,7 +535,8 @@ export async function executeFilteringRules(
   rules: FilteringRuleInput[],
   projects: ProjectForFiltering[],
   userId?: string,
-  roundId?: string
+  roundId?: string,
+  onProgress?: ProgressCallback
 ): Promise<ProjectFilteringResult[]> {
   const activeRules = rules
     .filter((r) => r.isActive)
@@ -528,7 +551,7 @@ export async function executeFilteringRules(
 
   for (const aiRule of aiRules) {
     const config = aiRule.configJson as unknown as AIScreeningConfig
-    const screeningResults = await executeAIScreening(config, projects, userId, roundId)
+    const screeningResults = await executeAIScreening(config, projects, userId, roundId, onProgress)
     aiResults.set(aiRule.id, screeningResults)
   }