import { Db, MongoClient } from 'mongodb'

/**
 * Spreads each data class across N Atlas clusters.
 *
 *   MONGO_URLS_LAMBDA  = "mongodb+srv://...,mongodb+srv://...,..."
 *   MONGO_URLS_COSTING = "mongodb+srv://...,..."
 *
 * Both fall back to MONGO_DB_URI, so a single-cluster setup keeps working.
 *
 * Writes use fill-and-spill: everything goes to the first shard with room, and
 * rolls to the next when that one nears quota. Hashing by func_name was the
 * obvious alternative and is wrong here - one function is ~99% of lambda traffic,
 * so it would pin nearly all writes to a single shard while the rest sat empty.
 *
 * Reads fan out to every shard and merge, because fill-and-spill means older
 * data lives on earlier shards.
 */

export type ShardGroup = 'lambda' | 'costing'

// Atlas M0 is 512MB. Roll over early so a burst can't hit the wall mid-batch.
const QUOTA_BYTES = Number(process.env.SHARD_QUOTA_BYTES ?? 512 * 1024 * 1024)
const ROLLOVER_AT = Number(process.env.SHARD_ROLLOVER_AT ?? 0.9)
const SIZE_TTL_MS = 5 * 60_000

/**
 * Every shard is opened with an EXPLICIT database name rather than whatever the
 * URI happens to carry. Connection strings that end in "/" (no db path) make the
 * driver fall back to "test", which would silently scatter data across a
 * different database on each cluster.
 */
const DB_NAME = process.env.MONGO_DB_NAME ?? 'costingDB'

/**
 * Env var names for a shard group, ordered by their number.
 *
 * Matched case-INSENSITIVELY on purpose: GitHub Actions uppercases every secret
 * name, so `CostingDBURL1` arrives as `COSTINGDBURL1`. A case-sensitive match
 * finds nothing there and the server starts with no clusters at all.
 *
 * Sorted numerically, not lexically, so 10 lands after 9 rather than after 1 -
 * fill-and-spill writes to the first shard with room, so order IS the policy.
 */
export function shardEnvKeys(prefix: string, env: Record<string, string | undefined>): string[] {
  const re = new RegExp(`^${prefix}(\\d+)$`, 'i')
  return Object.keys(env)
    .map((k) => ({ k, n: k.match(re)?.[1] }))
    .filter((x) => x.n !== undefined && env[x.k]?.trim())
    .sort((a, b) => Number(a.n) - Number(b.n))
    .map((x) => x.k)
}

function urisFor(group: ShardGroup): string[] {
  const prefix = group === 'lambda' ? 'LambdaDBURL' : 'CostingDBURL'

  const numbered = shardEnvKeys(prefix, process.env).map((k) => process.env[k]!.trim())
  if (numbered.length) return numbered

  // Fallbacks: one comma-separated var, then the original single-cluster setting.
  const raw =
    process.env[group === 'lambda' ? 'MONGO_URLS_LAMBDA' : 'MONGO_URLS_COSTING'] ??
    process.env.MONGO_DB_URI ??
    ''
  const uris = raw.split(',').map((u) => u.trim()).filter(Boolean)
  if (!uris.length) throw new Error(`no Mongo URLs configured for "${group}" (expected ${prefix}1, ${prefix}2, …)`)
  return uris
}

// Cached on globalThis so `next dev`'s module reloading doesn't leak a new pool
// per edit - same reason the original single-client helper did it.
declare global {
  // eslint-disable-next-line no-var
  var _mongoPool: Map<string, Promise<MongoClient>> | undefined
  // eslint-disable-next-line no-var
  var _mongoSizes: Map<ShardGroup, { at: number; used: number[] }> | undefined
}
const pool = (globalThis._mongoPool ??= new Map())
const sizes = (globalThis._mongoSizes ??= new Map())

function connect(uri: string): Promise<MongoClient> {
  let p = pool.get(uri)
  if (!p) {
    // Small pools, because the shard count is the multiplier here: at 50 clusters
    // the driver's default of 100 would allow 5,000 sockets from one process for
    // a workload that peaks in the low tens of ops/sec. Pools grow on demand, so
    // idle shards cost nothing.
    p = new MongoClient(uri, { maxPoolSize: 5 }).connect()
    pool.set(uri, p)
  }
  return p
}

export async function shards(group: ShardGroup): Promise<Db[]> {
  const clients = await Promise.all(urisFor(group).map(connect))
  return clients.map((c) => c.db(DB_NAME))
}

/** Bytes used per shard, cached - db.stats() on every write would be absurd. */
async function usage(group: ShardGroup): Promise<number[]> {
  const hit = sizes.get(group)
  if (hit && Date.now() - hit.at < SIZE_TTL_MS) return hit.used

  const dbs = await shards(group)
  const used = await Promise.all(
    dbs.map(async (db) => {
      try {
        const s = await db.command({ dbStats: 1, scale: 1 })
        // dataSize, NOT storageSize. Atlas bills uncompressed BSON plus indexes;
        // storageSize is the compressed on-disk figure and reads ~40% lower, so
        // using it reports a cluster as half full when Atlas has already blocked
        // writes on it.
        return (s.dataSize ?? 0) + (s.indexSize ?? 0)
      } catch {
        return 0 // unreachable shard: don't let a probe failure block writes
      }
    })
  )
  sizes.set(group, { at: Date.now(), used })
  return used
}

export function invalidateUsage(group: ShardGroup) {
  sizes.delete(group)
}

/** The shard writes should go to: first one under the rollover threshold. */
export async function writeShard(group: ShardGroup): Promise<Db> {
  const dbs = await shards(group)
  if (dbs.length === 1) return dbs[0]

  const used = await usage(group)
  const limit = QUOTA_BYTES * ROLLOVER_AT
  const i = used.findIndex((b) => b < limit)
  // Every shard full: use the last one and let Atlas raise the quota error
  // rather than silently dropping data.
  return dbs[i === -1 ? dbs.length - 1 : i]
}

export async function fanout<T>(group: ShardGroup, fn: (db: Db) => Promise<T>): Promise<T[]> {
  const dbs = await shards(group)
  return Promise.all(dbs.map(fn))
}

/** Sum a scalar that each shard reported independently. */
export function sumOf(results: number[]): number {
  return results.reduce((a, b) => a + b, 0)
}

/**
 * Merge per-shard $group output by _id, summing the named numeric fields.
 *
 * Callers MUST fan out without a $limit inside the pipeline and sort/limit via
 * this function instead: a top-10 taken per shard and then merged can miss an
 * entry that ranks 11th everywhere but first overall.
 */
export function mergeGroups<T extends { _id: unknown }>(
  perShard: T[][],
  fields: (keyof T)[],
  opts: { sortBy?: keyof T; limit?: number } = {}
): T[] {
  const merged = new Map<string, T>()

  for (const rows of perShard) {
    for (const row of rows) {
      const key = JSON.stringify(row._id)
      const hit = merged.get(key)
      if (!hit) {
        // Materialise every summed field so the output shape doesn't depend on
        // how many shards happened to be configured.
        const seed = { ...row }
        for (const f of fields) (seed[f] as number) = (seed[f] as number) ?? 0
        merged.set(key, seed)
        continue
      }
      for (const f of fields) {
        ;(hit[f] as number) = ((hit[f] as number) ?? 0) + ((row[f] as number) ?? 0)
      }
    }
  }

  let out = [...merged.values()]
  if (opts.sortBy) out.sort((a, b) => ((b[opts.sortBy!] as number) ?? 0) - ((a[opts.sortBy!] as number) ?? 0))
  if (opts.limit) out = out.slice(0, opts.limit)
  return out
}

/** Per-shard usage, for the admin status endpoint. */
export async function shardStatus(group: ShardGroup) {
  invalidateUsage(group)
  const used = await usage(group)
  return used.map((bytes, i) => ({
    shard: i,
    used_mb: +(bytes / 1e6).toFixed(1),
    quota_mb: +(QUOTA_BYTES / 1e6).toFixed(1),
    pct: +((bytes / QUOTA_BYTES) * 100).toFixed(1),
    accepting_writes: bytes < QUOTA_BYTES * ROLLOVER_AT,
  }))
}