# dag-executor.nu — DAG-aware taskserv execution
#
# Resolves cross-formula dependencies from dag.ncl before executing taskservs.
# When a user runs `provisioning taskserv create kubernetes`, this module:
#   1. Finds which formulas contain the requested taskserv
#   2. Walks the DAG backwards to collect all prerequisite formulas
#   3. Checks state to skip already-completed formulas
#   4. Executes pending formulas in topological order with health gates
#
# Falls back to direct execution when no dag.ncl exists.

use handlers.nu *
use ../workspace/state.nu *
use ../lib_provisioning/config/accessor.nu *
use ../lib_provisioning/utils/ssh.nu [ssh_cmd]
use ../lib_provisioning/utils/nickel_processor.nu [ncl-eval]

# Parse dag.ncl and servers.ncl formulas into a unified execution model.
export def load-dag [settings: record]: nothing -> record {
    let dag_path = ($settings.infra_path | path join "dag.ncl")
    let servers_path = ($settings.infra_path | path join "servers.ncl")
    let prov_root = ($env.PROVISIONING? | default "/usr/local/provisioning")

    if not ($dag_path | path exists) { return { has_dag: false } }

    let dag = (try {
        ncl-eval $dag_path [$prov_root]
    } catch {
        return { has_dag: false }
    })

    # Formulas live in dag.ncl (moved from servers.ncl in unified component architecture).
    # dag.formulas  — formula definitions (id, server, nodes, max_parallel)
    # dag.composition.formulas — DAG metadata (depends_on, parallel, health_gate)
    let raw_formulas = ($dag | get -o formulas | default [])
    if ($raw_formulas | is-empty) { return { has_dag: false } }

    # Build formula map: formula_id → { server, nodes, depends_on, parallel, health_gate }
    let formula_map = ($raw_formulas | each {|f|
        let dag_entry = ($dag.composition.formulas | where formula_id == $f.id | get 0?)
        {
            id:          $f.id,
            server:      $f.server,
            nodes:       $f.nodes,
            max_parallel: ($f.max_parallel? | default 4),
            depends_on:  (if ($dag_entry | is-not-empty) { $dag_entry.depends_on } else { [] }),
            parallel:    (if ($dag_entry | is-not-empty) { $dag_entry.parallel? | default false } else { false }),
            health_gate: (if ($dag_entry | is-not-empty) { $dag_entry.health_gate? | default null } else { null }),
        }
    })

    { has_dag: true, formulas: $formula_map }
}

# Find all formulas that contain a given taskserv name.
# Extract the component/taskserv name from a formula node (handles both field shapes).
def node-name [n: record]: nothing -> string {
    $n | get -o taskserv | default null | get -o name
    | default ($n | get -o component | default null | get -o name | default "")
}

def find-formulas-for-taskserv [dag: record, taskserv_name: string, server_filter: string]: nothing -> list {
    $dag.formulas | where {|f|
        let has_taskserv = ($f.nodes | any {|n| (node-name $n) == $taskserv_name })
        let matches_server = ($server_filter == "" or $f.server == $server_filter)
        $has_taskserv and $matches_server
    }
}

# Walk the DAG backwards from target formulas to collect all prerequisites.
# Returns formula_ids in topological order (prerequisites first).
def resolve-prerequisites [dag: record, target_ids: list<string>]: nothing -> list<string> {
    let all_ids = ($dag.formulas | each {|f| $f.id })

    # Recursive walk: collect all transitive dependencies
    mut visited = []
    mut queue = $target_ids

    while ($queue | is-not-empty) {
        let current = ($queue | first)
        $queue = ($queue | skip 1)
        if $current in $visited { continue }
        $visited = ($visited | append $current)
        let formula = ($dag.formulas | where id == $current | get 0?)
        if ($formula | is-not-empty) {
            for dep in $formula.depends_on {
                if $dep.formula_id not-in $visited {
                    $queue = ($queue | append $dep.formula_id)
                }
            }
        }
    }

    # Topological sort: Kahn's algorithm
    # Build adjacency from the visited subset only
    let subset = ($dag.formulas | where {|f| $f.id in $visited })
    mut in_degree = ($subset | each {|f| { $f.id: 0 } } | reduce -f {} {|it, acc| $acc | merge $it })
    for f in $subset {
        for dep in $f.depends_on {
            if $dep.formula_id in $visited {
                let cur = ($in_degree | get $f.id)
                $in_degree = ($in_degree | upsert $f.id ($cur + 1))
            }
        }
    }

    mut sorted = []
    mut zero_queue = ($in_degree | transpose k v | where v == 0 | each {|it| $it.k })

    while ($zero_queue | is-not-empty) {
        let node = ($zero_queue | first)
        $zero_queue = ($zero_queue | skip 1)
        $sorted = ($sorted | append $node)

        # Find formulas that depend on this node
        for f in $subset {
            let depends_on_node = ($f.depends_on | any {|d| $d.formula_id == $node })
            if $depends_on_node {
                let cur = ($in_degree | get $f.id)
                $in_degree = ($in_degree | upsert $f.id ($cur - 1))
                if ($cur - 1) == 0 {
                    $zero_queue = ($zero_queue | append $f.id)
                }
            }
        }
    }

    $sorted
}

# Check if a formula is fully completed in state.
def formula-completed [workspace_path: string, formula: record]: nothing -> bool {
    let st = (state-read $workspace_path)
    let srv_state = ($st.servers | get -o $formula.server | default {} | get -o taskservs | default {})
    $formula.nodes | all {|n|
        let ts_name = (node-name $n)
        let node_state = ($srv_state | get -o $ts_name | default {} | get -o state | default "pending")
        $node_state == "completed"
    }
}

# Execute a health gate command on the appropriate server via SSH.
# Uses the gate's timeout_ms as total budget, distributing retries with backoff.
# For a CP health gate (180s timeout, 10 retries) this gives ~18s between checks
# with increasing intervals — enough for apiserver + cilium to stabilize.
def run-health-gate [settings: record, formula: record]: nothing -> bool {
    let gate = $formula.health_gate
    if ($gate | is-empty) or $gate == null { return true }

    _print $"  health gate: ($formula.id) ..."
    let server = ($settings.data.servers | where hostname == $formula.server | get 0?)
    if ($server | is-empty) {
        _print $"  ⚠ server ($formula.server) not found for health gate"
        return false
    }

    let ip = (do { mw_get_ip $settings $server "public" false } catch { "" })
    let max_retries = ($gate.retries? | default 6)
    let timeout_ms = ($gate.timeout_ms? | default 60000)
    # Base interval: distribute total timeout across retries, minimum 10s
    let base_wait_raw = ($timeout_ms / $max_retries / 1000)
    let base_wait = (if $base_wait_raw < 10 { 10 } else { $base_wait_raw })
    mut remaining = $max_retries
    mut elapsed_ms = 0

    while $remaining > 0 and $elapsed_ms < $timeout_ms {
        let ok = (ssh_cmd $settings $server false $gate.check_cmd $ip)
        if $ok {
            _print $"  ✅ health gate ($formula.id) passed"
            return true
        }
        $remaining -= 1
        if $remaining > 0 {
            let attempt = ($max_retries - $remaining)
            # Backoff: first attempts wait base_wait, later ones wait 1.5x
            let wait = if $attempt <= 2 { $base_wait } else { (($base_wait * 1.5) | into int) }
            let wait_int = ($wait | into int)
            _print $"  ⏳ gate ($attempt)/($max_retries) — retry in ($wait_int)s"
            sleep ($"($wait_int)sec" | into duration)
            $elapsed_ms = ($elapsed_ms + ($wait_int * 1000))
        }
    }
    _print $"  🛑 health gate ($formula.id) failed after ($max_retries) attempts \(($timeout_ms / 1000)s timeout)"
    false
}

# Main entry: DAG-aware taskserv execution.
#
# If dag.ncl exists, resolves the full dependency chain and executes
# formulas in topological order. Otherwise falls back to on_taskservs.
export def dag-aware-create [
    settings: record
    match_taskserv: string
    match_server: string
    iptype: string
    check: bool
    upload: bool = false
    reset: bool = false
    cmd: string = ""
]: nothing -> nothing {
    let dag = (load-dag $settings)

    if not $dag.has_dag {
        # No DAG — fall back to direct execution
        on_taskservs $settings $match_taskserv "" $match_server $iptype $check $upload $reset $cmd
        return
    }

    let workspace_path = ($settings.src_path? | default $env.PWD)

    # Ensure all formula nodes exist in state — nodes installed before state
    # tracking was active have no entry and get silently skipped by the gate.
    # Only initialise nodes that have never been written (actor.identity empty = default
    # from state-node-get). This avoids resetting completed nodes when hyphenated
    # server names cause get -o to return {} instead of the real server record.
    for formula in $dag.formulas {
        for node in $formula.nodes {
            let node_nm = (node-name $node)
            let existing = (state-node-get $workspace_path $formula.server $node_nm)
            if ($existing.actor?.identity? | default "" | is-empty) {
                state-node-set $workspace_path $formula.server $node_nm {
                    state:      "pending",
                    operation:  "create",
                    profile:    ($node | get -o taskserv | default {} | get -o profile | default "default"),
                    started_at: "",
                    ended_at:   "",
                    blocker:    "",
                    actor:      { identity: "system", source: "dag-executor" },
                    log:        [{ ts: ((date now) | format date "%Y-%m-%dT%H:%M:%SZ"), event: "dag-init", source: "dag-executor" }],
                }
            }
        }
    }

    # Find target formulas containing the requested taskserv
    let targets = (find-formulas-for-taskserv $dag $match_taskserv $match_server)
    if ($targets | is-empty) {
        _print $"⚠ No formula contains taskserv ($match_taskserv) for server ($match_server)"
        return
    }

    let target_ids = ($targets | each {|f| $f.id })

    # Resolve full dependency chain in topological order
    let execution_order = (resolve-prerequisites $dag $target_ids)

    _print $"DAG execution plan: ($execution_order | length) formula\(s\)"
    for fid in $execution_order {
        let is_target = $fid in $target_ids
        let tag = if $is_target { " [target]" } else { " [prerequisite]" }
        _print $"  ($fid)($tag)"
    }
    _print ""

    # Execute formulas in order.
    # A formula failure or health gate failure stops the entire DAG —
    # dependent formulas never run if their prerequisite is broken.
    for formula_id in $execution_order {
        let formula = ($dag.formulas | where id == $formula_id | first)

        # Skip completed formulas (unless reset)
        if not $reset and $cmd == "" and (formula-completed $workspace_path $formula) {
            _print $"⊘ ($formula_id) — already completed"
            # Verify health gate still passes for completed prereqs
            if $formula.health_gate != null {
                if not (run-health-gate $settings $formula) {
                    _print $"🛑 ($formula_id) was completed but health gate now fails — stopping"
                    _print $"   Run with --reset to re-execute this formula"
                    return
                }
            }
            continue
        }

        _print $"▶ ($formula_id) on ($formula.server)"

        # Execute each formula node in order — only the taskservs declared
        # in the formula, not every taskserv on the server.
        # When match_taskserv is set, only that specific node runs;
        # the state gate inside on_taskservs skips already-completed nodes.
        for node in $formula.nodes {
            let nm = (node-name $node)
            if $match_taskserv == "" or $nm == $match_taskserv {
                on_taskservs $settings $nm "" $formula.server $iptype $check $upload $reset $cmd
            }
        }

        # Check if formula completed successfully by reading state.
        # Skip when a specific taskserv was requested — partial runs are intentional.
        # If any node failed, stop — do not proceed to dependent formulas.
        if $match_taskserv == "" and not (formula-completed $workspace_path $formula) {
            let failed_nodes = ($formula.nodes | where {|n|
                let st = (state-node-get $workspace_path $formula.server (node-name $n))
                $st.state != "completed"
            } | each {|n| node-name $n })
            _print $"🛑 ($formula_id) failed — nodes not completed: ($failed_nodes | str join ', ')"
            _print $"   Fix the issue and re-run. Dependent formulas will not execute."
            return
        }

        # Health gate: verify the formula's services are actually operational.
        # Retries with backoff — services like apiserver need time after install.
        # Skip for partial runs — health gate only makes sense on full formula completion.
        if $match_taskserv == "" and $formula.health_gate != null {
            if not (run-health-gate $settings $formula) {
                _print $"🛑 ($formula_id) health gate failed — stopping"
                _print $"   The formula completed but services are not healthy."
                _print $"   Check logs on ($formula.server) and re-run."
                return
            }
        }
    }

    _print $"✅ DAG execution complete"
}