<!--
    Developed by Steve Conrad / SC Software, LLC.  Version 2.22
    Contact: steve@scsoftware.io

    v2.22: The 96 ft box in the middle of the 1RN row now reads "Track Emergency and
    Maintenance Vehicles Only". It was labelled "Staff parking", which read like somewhere a
    team might still be sent. Nothing about the geometry moves -- same surveyed keep-out, and
    1RN-9/10/11 stay retired under it.

    A zone name too long for its box now WRAPS to the polygon's own width instead of running
    out over the bays either side. wrapLabel() splits on the same 0.55em width estimate
    cropZones() shrinks by, so a wrapped label and a cropped one agree about what fits; the new
    label takes three lines inside the box, and every other zone still comes out on the single
    line it always did.

    The NE end of T4 is cordoned off and labelled "Reserved", from survey. A 240 x 98 ft
    rectangle (GPS corners run 33.534075,-86.621179 / 33.534533,-86.620609 / 33.534723,
    -86.620841 / 33.534268,-86.621404) covers both T4 rows and the aisle between them from
    x 577 to x 728. It is a plain `blocks` keep-out on 4RN and 4RS -- the pavement is spoken
    for, not walked around -- so 4RN-10..17 and 4RS-10..17 retire and each row now ends at
    bay 9. T4 goes 34 slots -> 18, the map total 190 -> 174. No entrant is displaced: every
    named rig in T4 sits at the SW end (4RN-1..3, 4RS-1..4).

    Only an ENTRANT raises a red ghost box now, not a bare width. An emptied bay keeps its
    width so it can be recovered, and for a NO-ROOM bay that is still worth drawing -- narrow
    the row and it comes back. Under a keep-out it is not: the pavement is gone for good.
    Without this the cordon printed three red "(empty)" boxes (4RN-16, 4RS-10, 4RS-11, all
    carrying a hand-set 20ft width and nobody in them) and the info bar called them
    "3 assignments". hasEntrant() is the one test -- ghosts, the out-of-bounds counter, the
    orphan warning and the width-change refusal all ask it, so none of them can drift.
    planData() follows the same rule: a bare width on a RETIRED bay is not exported at all, so
    a cordon does not publish widths for bays that no longer exist. A width on a no-room bay
    still travels -- narrow the row and it comes back.

    barber_plan.js/.json are republished off this geometry. 16 records leave (4RN-10..17,
    4RS-10..17, all bare widths), the 158 entrants and their widths are untouched, and both
    T4 bands now report 9 bays with the rest listed under `blocked`. 4RN-9 comes out flagged
    atRisk: widen anything in that row and it is the bay that slides under the cordon.

    v2.21: The four T2/T3 walkways are keep-outs, from survey. Each is a ~10.5ft strip running
    the full depth of its band, at x 577-584: T2 South (2RS), T2 North (2RN), T3 South (3RS),
    T3 North (3RN). Four of the six `stairs` polygons were short stubs at the NE end of these
    same strips -- the walkway was always there, only the top flight had been surveyed -- so
    those four are extended to their true extent rather than added alongside.

    A keep-out can now be WALKED AROUND instead of parked over. A block written {poly, step:true}
    does not retire the bay that lands on it: the walk pushes that bay to the far side of the
    strip, keeping its ID, and carries on. The row pays the strip's width instead of a bay's.
    Plain blocks are unchanged and still retire on BLOCK_MIN -- right for the 96ft staff-parking
    box, where the pavement really is gone, and 1RN still reads 15 bays with 1RN-9/10/11 retired.

    Retiring was the wrong tool here and it took building it to see why. A 10ft walkway that
    costs a 33ft bay throws away 23ft of paddock, and the first cut of this made all four rows
    do exactly that. Stepping has no threshold to tune either: ANY overlap moves the bay, since
    a rig may not lap onto a walk even slightly. No GAP is added past the strip -- the walkway
    is the separation. There are no ghosts and no gaps in the numbering; the four rows run
    1..N straight through.

    What stepping does NOT do is close the hole, and it is worth being straight about that.
    The strip splits a row into two segments, and each one now has its own leftover where the
    row used to carry it all at the far end. The walkway costs its own 11ft; anything past that
    in the hole is leftover that was always in the row. 2RS and 3RN land well and read 16ft;
    2RN and 3RS had 28-30ft spare in the first segment and read 39-41ft. 161 bays either way.

    Closing it is width data, not geometry, so the packer does not touch it -- widths are
    per-slot and read by ID, and a packer that quietly narrowed bays to tidy a gap would be a
    far worse surprise than the gap. A few feet off the leading bays does it, and each of these
    rows GAINS a bay in the process: 2RN-1..3 at 30ft (14 bays, 11.6ft hole), 2RS-1..3 at
    34.3ft (14, 11.5ft), 3RN-1..3 at 34.3ft (14, 11.3ft), 3RS-1..5 at 31.1ft (14, 12.1ft).

    A stepped row packs as TWO INDEPENDENT SEGMENTS, and that is the one genuinely surprising
    thing about it. The strip is a fixed anchor, so slack freed on one side never reaches the
    other: narrowing 2RS-1 from 33ft all the way to the 20ft floor leaves the row at 14 bays
    every time, while narrowing 2RS-6 to 28ft gives it 15. Trying to rescue a WILL NOT FIT bay
    by shrinking a bay before the walkway is wasted effort, and it looks broken rather than
    inapplicable -- the width takes, the count does not move, the red box stays put.

    So the row now records tailFrom, the first bay past the strip (null when nothing splits the
    row; it rides along in the band export). The WILL NOT FIT tooltip and the noteOrphans line
    name the range that can actually free space, and setSlotWidth() says so outright when a
    width change lands on the far side of a strip from a bay waiting to come back, instead of
    reporting a silent success. maxWidthKeeping()'s binary search still holds -- bay count is
    still monotonic in width on both sides of a strip, swept 3RS-1 across 20-50ft each way with
    no reversals.

    UNUSED PAVEMENT IS NOW MEASURED AND DRAWN. Splitting rows made "how much room is actually
    left here" a question with two answers -- space that runs out at a walkway, and space that
    runs to the end of the band -- and nothing on screen distinguished them or gave a number.
    Each run of empty pavement over FREE_MIN_FT (8ft) is drawn in the planner as a dashed olive
    box labelled with its width, with a tooltip saying which of the two it is and whether it
    clears W_MIN (20ft), i.e. whether another bay could go there at all. Eleven of them today:
    24.6ft before the 2RN walkway and 26.9ft before the 3RS one, the rest at band ends, biggest
    being 1RN at 31.2ft. Measured from the last bay's far edge less one GAP, since that is what
    a new bay could really occupy -- so these read ~3.2ft under the raw geometric gap.

    Planner only; the public map does not show it. It rides along in the band export as
    bands[].free[], and it is paper-styled so the printed band sheets show it as an empty
    dashed area rather than a dark block.

    Two things worth knowing when reading the numbers. Around a walkway, the gap you see is
    the strip (~10.7ft) PLUS the leftover before it, but only the leftover is usable, and only
    that part is measured -- 3RN's leftover is 2.2ft, under the threshold, so it draws nothing
    even though the visible gap next to the strip is 16.1ft. And because the two sides of a
    strip pack independently, a free box before a walkway cannot help a bay after it.

    W_MIN drops from 20ft to 10ft, so the leftover a walkway leaves behind can actually be
    parked on -- most of the free runs on the map are between 10 and 30ft, and at the old floor
    half of them were unusable by definition. Nothing about the default map changes: W_MIN only
    bounds a width someone sets by hand, and it is still 161 bays out of the box. 3RN, for
    instance, goes 14 -> 18 bays if its tail is taken down to 10ft.

    That made a rendering problem impossible to ignore. A bay under about 20ft cannot fit its
    own id across -- 3RN-9 at 10ft is 6px wide and drew as "3R..." at 1.4px, a bay you cannot
    identify on the map. mkSlot() now turns the label to read DOWN the bay instead, where the
    depth is 28-50px, rotating exactly when a horizontal label would have had to truncate
    (w * LBL_AR / LBL_MIN < id.length). Orientation is decided in the one place; fitLabel() and
    setPsLabel() size against dataset.labw -- depth when rotated, width when not -- and never
    need to know which way it went. A rotated bay drops the prep-shop second line, which has
    nowhere to stack, and keeps it in the tooltip.

    Stair treads are drawn on a fixed spacing instead of always six per box, so a full-depth
    walkway reads as a crossing rather than a 70ft staircase. The short flights are unchanged.

    Retiring bays surfaced a boot-order bug that had been there since v2.13. noteOrphans() ran
    BEFORE initModeMessages(), which assigns ib.textContent outright -- so on every load the
    orphan warning was written and then immediately overwritten, and an assignment stranded on
    a retired bay showed as a red box with nothing anywhere saying why. The two calls are
    swapped and the warning appends, which is what noteOrphans(append) was always for; the
    import path already called it that way. The warning also splits by reason now: a NO ROOM
    bay comes back if the row is narrowed, a RETIRED one sits under a fixed feature and does
    not. Stepping means the walkways raise neither, but the staff-parking box still can.

    v2.20: Export then import lost drivers. Assign someone to 1LN-6, export, re-import the very
    same file, and the bay came back empty. Cause: the MOVED_SLOTS migration added in v2.11,
    which rewrote seven displaced ids (1LN-6 -> 1RS-7 and so on) on EVERY read, forever.

    The premise was wrong. A row's bay count depends on its widths -- 1LN fits 5 bays at the 33ft
    default but EIGHT at 20ft -- so 1LN-6..8 are ordinary current slots in a plan with narrow
    widths, and the table was quietly relocating their drivers on every import. Worse, v2.19's
    collision guard turned the relocation into a deletion whenever the target bay was occupied.
    v2.19 also told the user, wrongly, that anything above 1LN-5 was a stale id.

    MOVED_SLOTS and remapId are retired. Slot ids are now taken at face value: what you export is
    what you import, verified stable across two full round trips. A genuinely pre-swap plan
    places its entrants at the ids it names, and any that no longer fit become red out-of-bounds
    ghosts -- visible, reported and recoverable -- which is strictly better than moving somebody
    without saying so. The lesson for any future migration: gate it on something the file asserts
    about itself, never on an id pattern that live data can legitimately use.

    v2.19: A plan that still uses pre-2026 slot ids could lose a driver in silence. 1LN lost its
    SW end to the grid box in v2.11, and MOVED_SLOTS remaps the seven displaced ids -- 1LN-6
    becomes 1RS-7, and so on. That part worked, but nothing said so, and if a plan contained BOTH
    1LN-6 and 1RS-7 they collided on the same target and whichever came later in the JSON simply
    overwrote the other. No warning, no console message, one entrant gone.

    applyPlanSlots() now ingests in two passes: entries already using a current id are placed
    first, then a remapped id is REFUSED if its target is taken rather than clobbering it. The
    outcome no longer depends on JSON key order. notePlan() reports both cases in the info bar on
    load and on import -- "1 slot in this plan uses a pre-2026 id and moved with the grid swap
    (1LN-6 -> 1RS-7)", or a DROPPED line naming the clash and telling you to fix the plan.

    If a driver seems to be missing, this is the first thing to check: they may be sitting at the
    remapped bay rather than the one the plan file names.

    v2.18: Class and run group may now be LISTS. One bay often holds more than one car -- a
    transporter with a Formula 6 and an FE2, or cars running in two different groups -- so
    "class": "F6, FE2" and "group": "Group 2, Group 4" are both valid, and every surface
    understands them. The bay appears under an F6 chip AND an FE2 chip, is found by searching
    either, is included by either chip filter or ?class=/?group= link, and prints in either
    filtered table. Counts are per bay per value, so a bay is counted once in each class it
    names and never twice in the same one ("FF, ff" is one FF).

    Separators are comma, semicolon, slash, plus, ampersand and the word "and" -- but never a
    space, which would tear "Group 2" in half, and never a hyphen, which would destroy "GT-1"
    and "B-Spec". Every value is still normalised individually, so "grp2, G4" is the same pair
    as "Group 2, Group 4". Display is unchanged: the card, the results row and the print tables
    show the list exactly as the plan authored it.

    v2.17: Class and run group are pickable, and the search stops lying. The two searches people
    actually run both returned garbage: "FF" (Formula Ford) matched every driver whose surname
    contains those letters -- Jeff, Stafford, Griffin, Huffman, Duffy, Radcliffe -- and "Group 2"
    matched most of Tier 2 regardless of run group, plus Group 20 and Group 21. Measured on a
    fixture before the change: FF returned 10 hits of which 6 were wrong; "Group 2" returned 18,
    while MISSING the entrants whose group was spelled "grp 2" or "G2". Both were the same root
    cause -- searchHay() flattened every field into one string and matched by unanchored
    substring, so "group" came from any slot's own group value and "2" from a slot id, a bay
    number, or the literal "tier 2" that slotWhere() injects into every haystack.

    Now: a row of chips built from the plan's own class and group values, each with a count,
    exact-matching and hiding itself entirely when the plan has neither. Classes are sorted by
    entrant count, not alphabetically -- a real SCCA Majors runs 30 classes, and alphabetical
    gave a 2-car class the same prominence as a 22-car one while pushing SM off the end of the
    row. The chips wrap rather than scroll sideways (a scroller hid two thirds of them behind a
    swipe), collapse to two rows, and offer a measured "+N more" that expands to the full list. Values are matched on a
    normalised key but displayed as authored, so "Group 2" / "grp 2" / "G2" / "group2" / "2" are
    one chip labelled with whichever spelling the plan uses most. Two normalisers, not one: a
    shared one would strip a leading "g" and quietly destroy "GT-1".

    Free text is fixed too. A whole-query pass resolves a query naming a class or group that
    exists in the plan to that facet exactly; otherwise terms are scored per field (exact id 100,
    class/group key 90, name word-prefix 60, ... slotWhere 8) and ranked, replacing a matcher
    that had no notion of relevance at all. The FF fix is a word-boundary rule rather than
    ranking: a term of two characters or fewer matches a name only at a word start, so the
    decoys are EXCLUDED, not merely demoted -- a hit paints a gold ring and dims the rest of the
    map, so demotion would still leave six wrong bays lit. slotWhere() now answers only
    alphabetic terms, so a bare "2" can never match "tier 2" again. After: FF returns 4, all
    genuine; "Group 2" returns 7, including every alias spelling and neither Group 20 nor Tier 2.

    ?class= and ?group= join ?q= and ?slot= as boot params, so a run group is linkable; a Copy
    link chip builds that URL. Deliberately no History API -- replaceState throws on file://,
    which is how this file is opened locally and how every headless check runs. Table prints
    follow the chips (not the typed text) and say so on the page: "Group 2 - 7 rigs". The map
    booklet stays whole; a marshal walking the paddock needs all of it. Fixed in passing:
    afterEdit()'s fast path never refreshed the search, so editing a rig left stale results on
    screen, and the by-slot print sorted lexicographically, putting 1LN-10 before 1LN-2.

    NOTE for anyone with an old link: ?q=ff no longer matches Jeff. That is the point, but a
    bookmark saved before v2.17 changes meaning.

    v2.16: Race class and run group carried end to end. They show on the public slot card
    ("Class: SM", "Run group: Group 3"), in the results row, the tooltip, both table prints and
    the booklet (as one compact "SM / Group 3" line, so a bay box does not grow two lines).
    Searchable, which is the point -- "group 5" finds everyone in that run group and "srf3"
    finds the class. They are public race information, so unlike phone numbers they are NOT
    stripped on publish. normAsgn() accepts whatever the plan generator calls them --
    class/carClass/cls/raceClass and group/runGroup/grp -- and stores them canonically as
    carClass and group; previously any such field was silently dropped on import, because
    applyPlanSlots only ever copied the keys it knew.

    v2.15: The plain URL is now a PUBLIC, read-only map of the published plan; the planner moved
    behind ?edit. Entrants can search free text -- name, prep shop, slot id, tier/side words, even
    "available" -- and matching bays ring gold while the rest of the map dims, with a tappable
    results list naming each hit and where it is ("1RN-3 · Gunslinger Racing · Tier 1 Right, north
    row"). Tapping a bay opens a read-only card: slot, where it is, team or vendor, load-in, prep
    shop NAME and bay size. ?slot= and ?q= are honoured at boot, so a link can point someone
    straight at their bay or at a search.

    Privacy is enforced at the ARTIFACT, not the view -- hiding fields in the UI is worthless when
    the published file sits at a public URL. "Publish (public)" emits barber_plan.js (which the
    page loads) and a barber_plan.json twin, both with mobile numbers, prep-shop contacts and
    prep-shop phones removed, and reports how many of each it took out. As an independent second
    guard, applyPlanSlots() blanks those same keys on ingestion whenever the mode is not ?edit, so
    a stale or hand-edited file still cannot leak one; because every render site already tests
    `if(a.mobile)`, the tooltips, tables and booklet self-censor with no further change. Verified
    by publishing sentinel values, then pasting them back into the artifact by hand: zero reach
    the public DOM either way.

    The plan ships as a plain <script src>, not fetch() -- a classic script works under file://,
    over the LAN and on Render alike, and is present synchronously before boot. Read-only is one
    choke point per concern rather than per call site: saveToStorage() returns early (covering all
    five writers), the width steppers are never created, and clicks route to the info card. The
    two table prints pick their columns from one spec per mode, so the public tables read Slot /
    Name / Load-in / Prep Shop / Size. Page is noindex: it carries entrants' names.

    v2.14: A width change that would evict an OCCUPIED bay used to be refused outright, and
    the refusal was written only to the info bar at the bottom of the page while the modal
    just closed -- so it read as a silent failure. Worse, it was inconsistent: the milder case
    (an empty bay) got a modal dialog, the serious one got a footnote. Both now raise the same
    confirm, which names every bay that no longer fits AND who is in it ("No longer fits:
    1RS-7 (Tail Team). That includes 1 with someone in it."), says the assignments are kept,
    and quotes the width that would cost nothing. Since v2.13 an evicted bay stays on the map
    as a red out-of-bounds box with its assignment intact and is tagged in the JSON, so the
    hard block was over-protective; the only thing still refused outright is an assignment
    with nowhere at all to draw, and that now raises an alert() rather than a whisper.
    Note the asymmetry that made this confusing: widening the LAST bay only affects itself,
    while widening the FIRST pushes the whole row and it is the LAST bay that falls off.

    v2.13: Overflow is visible instead of silent. Importing a plan whose widths no longer fit
    used to leave the extra entrants with no slot to render on -- the data survived in the plan
    and in exports, but the map hid them and the counter undercounted. Those bays now draw as
    red dashed GHOST boxes exactly where the row's own maths says they would have gone: past
    the end of the pavement when the row ran out of room ("NO ROOM"), or on top of the keep-out
    when the bay was retired ("RETIRED"). A ghost carries the rig's name, is clickable like any
    slot -- clear it, or narrow it until it fits, and it turns back into a real bay -- and
    prints on the sector sheets with the full contact block. Ghosts are NOT counted as slots;
    they get their own red "Will not fit" chip in the stats bar, which stays hidden at zero, and
    the info bar names them on load AND on import. mkGhost()/ghosts{} keep them out of `slots`,
    so nothing else has to know they exist. The ghost red is deliberately strong (#EE6B55) --
    a washed-out red reads as the selection pink, which is a bad thing to confuse.

    Also: widening a slot could quietly destroy an empty bay at the end of the row -- set
    1RS-7 to 50' and 1RS-7 itself vanished, while the info bar still said "width set to 50'".
    setSlotWidth() now diffs the slot list across the rebuild, asks before removing any empty
    bay, reverts cleanly on cancel, and names what went in the confirmation message. Both that
    prompt and the hard-block message now SUGGEST THE LIMIT -- maxWidthKeeping() binary-searches
    the widest setting that costs the row nothing ("The most 1RS-7 can take without losing a bay
    is 46'"), so you are never just told no. A bay with someone in it is still hard-blocked,
    with no prompt.

    An out-of-bounds bay is now RECOVERABLE, and it is recoverable whether or not anyone is in
    it: a ghost is drawn for any bay the plan has an opinion about -- an assignment OR a width
    override -- so widening 1RS-7 until it falls off the row leaves a red box you can click and
    shrink back, instead of a slot you can never reach again. Two data bugs went with it: the
    walk only looked at assignments when deciding how far past the row to search, and planData()
    wrote unplaced slots with put(id,{}), i.e. WITHOUT their width -- so an out-of-bounds width
    silently evaporated on the next save. Exports now carry the width and tag it:
    "1RS-7": { "width": 50, "outOfBounds": true, "reason": "no-room" | "retired" | "unplaced" },
    plus a top-level "outOfBoundsSlots": [...] listing every one, so a plan written by a script
    gets told what did not fit. Both fields are output-only diagnostics; import recomputes them
    and ignores whatever the file said.

    Export now also states what each BAND believes about its own capacity, so a plan built
    elsewhere reconciles against the app instead of against a measurement off a map:
    "bands": { "1RN": { depthFt, defaultWidthFt, maxWidthFt (usable frontage along the drive
    aisle), usableWidthPx, usedWidthFt, freeWidthFt, slotCount, slots[], blocked[],
    outOfBounds[], trailingSlot, atRisk } }, with pxPerFt, slotGapPx/slotGapFt and
    riskMarginFt at the top level. Capacity is NOT frontage/width: bays are separated by a
    2px (3.18') gap and each is rounded to whole pixels, so 33' really costs 33.43'. Naive
    frontage/33 predicts 188 bays against the app's 165 -- the gap, the rounding and 1RN's
    three retired bays account for all 23. The exact rule, verified against every band:
      floor((maxWidthFt + slotGapFt) / (round(w*pxPerFt)/pxPerFt + slotGapFt))
    And the trailing bay of a row with less than riskMarginFt (5') of slack is tagged
    "atRisk": true, listed in top-level "atRiskSlots" -- it is the bay a widening anywhere in
    that row eats first, so a generated plan can leave it empty rather than find out after a
    round trip. Today that is 3RN-15, with 4.8' to spare.

    v2.12: Staff parking, from survey. A 96 x 78 ft box in the middle of the 1RN row
    (33.53327017,-86.62025184 / 33.53345224,-86.62002415 / 33.53329797,-86.61984511 /
    33.53310960,-86.62007444) is drawn as a zone and the row gives up the bays under it.
    Sections take an optional `blocks` list of keep-out polygons; fillQuadRect() skips a bay
    once a block covers BLOCK_MIN (40%) of it, but keeps its stride -- so 1RN-9/10/11 retire
    while 1RN-12..18 hold the IDs and positions they already had. 1RN is 15 slots, 165 total.
    The threshold matters: the surveyed box clips 12% of 1RN-8 and 51% of 1RN-11, so exactly
    the three named bays go. An assignment left on a retired slot is still kept in the plan
    and in exports -- noteOrphans() now says so in the info bar on load instead of letting it
    disappear quietly. Two print fixes: stacked strips now meet in the middle so a feature in
    a slot-free gap (this box sits between 1RN-8 and 1RN-12) can't fall off both, and a
    cropped zone's label shrinks to the part on the sheet rather than clipping to
    "taff parking".

    v2.11: Grid and the SW end of 1LN swap places, from survey. The grid box moves from the
    NE end of the T1 south side (33.53333005, -86.61968790) to the SW corner of 1LN
    (33.53173410, -86.62216530), same 266 x 81 ft box, and it lands on 1LN-6..12 -- those
    seven slots are gone. Grid's old footprint reopens as a new 1RS row, 1RS-1..7, 80' deep.
    Seven out, seven in: still 168 slots. Saved plans migrate on read via MOVED_SLOTS --
    the displaced entrants (and any per-slot width) shift west-to-east onto 1RS, so
    1LN-12 -> 1RS-1 through 1LN-6 -> 1RS-7. 1LN-1..5 keep their IDs because the row numbers
    from its NE end. The print booklet picks 1RS up on its own: Tier 1 Right is now
    "1RN / 1RS". Two print fixes came with it -- each stacked strip is now cropped to the
    height its OWN slots need, so a strip covering only one row no longer pays for the
    reserved zones below it (Tier 1 Right went from 0.56in boxes at 5.7pt to 0.76in at
    7.5pt), and zones are grouped with their labels so a cropped zone either keeps its
    name over the visible part or drops out rather than printing as an unlabeled box.

    v2.10: Vendors are now ONE generic slot type instead of a type per tire brand. The slot
    type dropdown is just "Rig / team" or "Vendor" (green); the vendor's own name goes in the
    name field, which relabels itself to "Vendor name" when the type is set. So any vendor --
    fuel, tires, trailer service, merch -- takes a slot without a code change. Hoosier and
    Goodyear are still seeded on a fresh load, now as ordinary named vendors. Pre-v2.10 plans
    migrate on read: type "hoosier"/"goodyear" becomes type "vendor" with the brand moved into
    the name (an existing name wins), and every load path -- localStorage, JSON import, legacy
    plans -- goes through one normAsgn(). Long labels are fitted to the box on the map, so a
    name like "VP Racing Fuels" no longer runs over its neighbours.

    v2.9: "Print map" is now a landscape booklet instead of one shrunk-down page. Sheet 1 is
    the whole-map overview; after it comes exactly ONE sheet per tier and side -- 1LN+1LS,
    1RN, 2LN+2LS, ... -- so a sector is never split across pages. Each is a true crop of the
    live map, blown up until every slot box holds the rig's full block: slot id, team, mobile,
    load-in, prep shop + contact + phone, and the slot's width x depth. A band too wide for
    one strip is cut into segments stacked down its sheet; bandPlan() tries each split count
    and keeps whichever leaves the widest boxes. A slot belongs to the segment its centre
    falls on, and slivers showing through a crop are dropped, so no box prints cut in half.
    Stacked strips are staggered right down the sheet, so the west-to-east continuation reads
    without hunting for slot numbers.
    Label text is sized to the box (7.5pt down to ~5.2pt) so a phone number stays on one line
    on the tighter sectors. Labels draw in a top layer so the stairways can't cover them.
    Only the map run flips the sheet to landscape; the by-slot and by-team table prints are
    untouched and stay portrait.

    v2.8: Map legibility pass. The depth ramp (80/72/54/45/39 ft) now steps in hue as well as
    lightness (navy -> blue -> cyan) so neighboring depths are separable at slot size. Rigs whose
    team runs a prep shop paint purple instead of the plain assigned tan, and the first word of
    the prep shop name is drawn under the slot id inside the box (shrunk to fit, truncated on
    the narrow T4 slots). Legend gains "Assigned + prep shop"; the stale "T4 small rig / staff"
    swatch was dropped — T4 has been colored by depth since v2.1. No data-format change: JSON
    plans still read and write the v2.7 `slots` map.

    v2.7: Per-tier width sliders REMOVED — slot width is now purely per-slot data. Defaults are
    constants (33 ft, 30 ft for small T4 bands); widths are set via the assign popup field or the
    hover +/- steppers. Per-tier slot counts moved into the stats bar (they used to live in the
    slider rows). Hover tooltips now show depth + width on ASSIGNED slots too, not just empty
    ones. JSON reworked around a single `slots` map — one flat object per slot holding `width`
    plus any assignment fields — which is far easier to author or generate programmatically.
    Export writes every slot as a template; import records only widths that deviate from the
    default. v2.6 files (slotWidths + slotW + assignments) still import, and existing saved
    localStorage is migrated in place: any tier whose old slider value differed from the default
    is materialized into explicit per-slot widths, so no layout changes on upgrade.

    v2.6: Per-slot custom widths. Each slot's width is adjustable (20–50 ft) via a field in the
    assign popup AND inline +/- steppers on hover; the per-tier slider still sets the default.
    Rows re-fill with stable slot IDs — freed space adds slots at the outer end, and only empty
    trailing slots drop (a change that would orphan an assigned slot is blocked). Tire vendors
    UNLOCKED: Hoosier/Goodyear are now an assignable slot type (green) set/cleared per slot;
    likely positions (1LS-12/13/14 Hoosier, 1LS-10/11 Goodyear) seeded on fresh load, movable.
    Per-slot widths + slot type persisted in localStorage and JSON export/import.

    v2.5: 5 more stairways added from surveyed corners — one per tier band along the x~580
    column (T1 1RN, T2 2RN/2RS, T3 3RN/3RS, T4 4RS), 6 stairways total. Step-tread rendering
    made orientation-robust so treads always run across each box's short axis.

    v2.4: Stairway marked in the T2 (2RS) band from 4 surveyed corners — drawn as a gray
    keep-clear polygon with step treads and a "Stairs" hover label; added to the legend.

    v2.3: Water layer added. 5 water hookups (blue diamonds): 2 exact at the surveyed tower
    corners (tech-garage end + NE end), plus 3 approximate anchored to landmark corners —
    T3 restroom, T4 pavement/curb, and the T4 covered building (tagged "covered area - N/A").
    Water hookups added to the legend; approximate/covered points noted on hover.

    v2.2: Electrical layer added. 26 power pedestals (amber circles, "20/30/50A") placed from
    survey; 42 pit-wall 50-amp hookups (teal squares) evenly distributed along the pit wall.
    Both power types labeled on hover and added to the legend. Pit Lane text repositioned so
    it no longer overlaps the hookup row.

    v2.1: All tiers survey-anchored (rig-parking quads + cross-road aisles); rows are true
    rectangles parallel to the center road, aisle-anchored (depth grows into the outer margin,
    never the road). Slots colored by depth with a legend. Slots colored by depth. (v2.6 unlocked tire vendors; earlier builds hard-locked them
    at 1LS-1..3 Hoosier, 1LS-4/5 Goodyear). Skid pad clipped to true footprint (hill removed),
    reclaimed into 18 bonus grid spots (2LN 72'/2LS 45'). 168 slots.

    v2.0: ENTIRE map regenerated to true GPS scale (uniform 0.628 px/ft). Every tier
    section, reserved zone, pad and access road placed from surveyed GPS quads; slots are
    true parallelograms following each tier's taper. Skidpad drawn as one solid pad.
    Sections without GPS (1RN,4RN,4RS) derived from adjacent bands. All interactivity kept.

    v1.5: NE access road re-registered via global GPS affine (near-uniform 0.54 px/ft,
    fit from 7 feature centroids). Road now GPS-accurate AND hugs the NE edge. The
    earlier apparent 6x distortion was a single bad legacy corner coordinate, now discarded.

    Copyright (c) 2026 SC Software, LLC. All rights reserved.
    Licensed under the SC Software, LLC End-User License Agreement (see LICENSE).
    Provided "AS IS", without warranty of any kind, express or implied. Licensor's
    total liability shall not exceed zero dollars ($0); the Software is free of charge.
-->
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">
<title>Barber Motorsports Park - Paddock Load-in Planner</title>
<style>
  *, *::before, *::after { box-sizing: border-box; margin: 0; padding: 0; }
  body { font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, sans-serif; font-size: 13px; background: #111; color: #eee; min-height: 100vh; }
  header { background: #1a1a1a; border-bottom: 1px solid #333; padding: 10px 16px; display: flex; align-items: center; justify-content: space-between; flex-wrap: wrap; gap: 6px; }
  header h1 { font-size: 15px; font-weight: 600; color: #fff; }
  header .sub { font-size: 11px; color: #888; margin-top: 2px; }
  .ver { font-size: 11px; color: #555; white-space: nowrap; }
  .main { padding: 12px 14px; max-width: 1100px; margin: 0 auto; }
  .toolbar { display: flex; align-items: center; gap: 6px; margin-bottom: 8px; flex-wrap: wrap; }
  .toolbar label { font-size: 12px; color: #888; }
  button { font-size: 12px; padding: 5px 12px; border-radius: 6px; border: 1px solid #333; background: #222; color: #ccc; cursor: pointer; transition: background 0.15s; }
  button:hover { background: #2e2e2e; color: #fff; }
  /* Pushes everything after it to the right. A spacer rather than margin-left:auto on
     #ca, because #ca is hidden in public mode and the right-hand group would collapse. */
  .tb-spacer { flex: 1 1 auto; }

  /* Mode: the plain URL is the public read-only map, ?edit is the planner. */
  body.mode-public .edit-only { display: none !important; }
  body.mode-edit .public-only { display: none !important; }
  .chip { font-size: 10px; font-weight: 600; padding: 2px 7px; border-radius: 10px;
          border: 1px solid #2a5a3a; background: #12301f; color: #9FE1CB; }
  .chip.warn { border-color: #6a5320; background: #2e2410; color: #EFD09F; }
  .chip.edit { border-color: #5a4a2a; background: #2e2410; color: #EFD09F; }
  .mlink { font-size: 11px; color: #85B7EB; text-decoration: none; }
  .mlink:hover { text-decoration: underline; }

  /* Search */
  #q { flex: 0 1 220px; min-width: 130px; font-size: 12px; padding: 5px 10px; border-radius: 6px;
       border: 1px solid #333; background: #111; color: #eee; outline: none; }
  #q:focus { border-color: #9FE1CB; }
  #q-clear { padding: 4px 9px; }
  #q-count { font-size: 11px; color: #9FE1CB; min-width: 58px; }
  #results { margin-bottom: 8px; border: 1px solid #2a2a2a; border-radius: 6px; background: #181818;
             max-height: 230px; overflow-y: auto; }
  #results .r { display: flex; gap: 10px; align-items: baseline; padding: 9px 12px; min-height: 44px;
                border-bottom: 1px solid #222; cursor: pointer; font-size: 12px; color: #ccc; }
  #results .r:last-child { border-bottom: 0; }
  #results .r:hover { background: #222; }
  #results .r b { color: #9FE1CB; font-weight: 600; min-width: 62px; }
  #results .r .w { color: #777; font-size: 11px; }
  #results .none { padding: 10px 12px; color: #888; font-size: 12px; }
  /* Facet chips -- built from the plan's own class/group values. The row hides itself
     entirely when the plan carries neither, which is the default published state. */
  #facets { margin-bottom: 8px; }
  .frow { display: flex; align-items: center; gap: 6px; margin-bottom: 4px; }
  /* An author display rule beats the [hidden] UA default, so say it explicitly or
     .hidden rows and the Clear/Copy bar stay on screen. */
  .frow[hidden], .fbar[hidden] { display: none; }
  .flab { flex: 0 0 auto; font-size: 10px; font-weight: 600; color: #555;
          text-transform: uppercase; letter-spacing: .06em; min-width: 42px; }
  /* Wrap rather than scroll sideways: with 30 SCCA classes a scroller hides most of them
     behind a swipe. Collapsed to two rows' worth, expanded by the +N more chip. */
  /* 88px == exactly two 36px rows plus the 8px gap, so a collapsed list clips on a row
     boundary instead of slicing a chip in half. */
  .fchips { display: flex; flex-wrap: wrap; gap: 8px; flex: 1 1 auto;
            overflow: hidden; max-height: 88px; }
  .fchips.open { max-height: none; }
  /* Sibling of .fchips, NOT a child: inside the clipped box it would be hidden by the
     very overflow it exists to reveal. */
  .fmore { flex: 0 0 auto; align-self: flex-start; min-height: 36px; font-size: 12px;
           padding: 7px 12px; border-radius: 16px; border: 1px dashed #3a3a3a;
           background: transparent; color: #9FE1CB; white-space: nowrap; cursor: pointer; }
  .fmore:hover { background: #1e1e1e; color: #fff; }
  .fchip { flex: 0 0 auto; min-height: 36px; font-size: 12px; padding: 7px 12px;
           border-radius: 16px; border: 1px solid #333; background: #222; color: #ccc;
           white-space: nowrap; cursor: pointer; }
  .fchip .n { color: #666; margin-left: 5px; font-variant-numeric: tabular-nums; }
  .fchip:hover { background: #2e2e2e; color: #fff; }
  .fchip.on { background: #1a3a2a; border-color: #2a5a3a; color: #9FE1CB; }
  .fchip.on .n { color: #6FBFA6; }
  .fchip.on:hover { background: #1e4a32; color: #9FE1CB; }
  .fbar { display: flex; align-items: center; gap: 8px; margin-bottom: 6px; flex-wrap: wrap; }
  #f-note { font-size: 11px; color: #888; }
  @media (max-width: 480px) { .flab { min-width: 0; } }

  /* Screen only: the printed booklet must never inherit a search state. */
  @media screen {
    #map g.dim { opacity: 0.16; }
    #map g.hit polygon { stroke: #FFD34D; stroke-width: 2.5px; vector-effect: non-scaling-stroke; }
    #map g.sel polygon { stroke: #D4537E; stroke-width: 2.5px; vector-effect: non-scaling-stroke; }
  }

  /* Public info card */
  #info-body { font-size: 12px; color: #ccc; }
  #info-body .row { display: flex; gap: 10px; padding: 6px 0; border-bottom: 1px solid #262626; }
  #info-body .row:last-child { border-bottom: 0; }
  #info-body .k { color: #888; min-width: 84px; flex-shrink: 0; }
  #info-body .v { color: #eee; }
  #info-body .warn { color: #EE6B55; }
  #ex  { background: #1a3a2a; border-color: #2a5a3a; color: #9FE1CB; }
  #ex:hover { background: #1e4a32; }
  #im  { background: #1a2a3a; border-color: #2a3a5a; color: #85B7EB; }
  #im:hover { background: #1e304a; }
  #pdf-slot { background: #2a1a3a; border-color: #4a2a5a; color: #CBA9EC; }
  #pdf-slot:hover { background: #361e4a; }
  #pdf-team { background: #3a2a1a; border-color: #5a4a2a; color: #EFD09F; }
  #pdf-team:hover { background: #4a361e; }
  #save-status { font-size: 11px; color: #555; margin-left: 4px; transition: color 0.3s; }
  #save-status.saved { color: #9FE1CB; }
  .stats { display: flex; gap: 8px; margin-bottom: 8px; flex-wrap: wrap; }
  .st { background: #181818; border: 1px solid #2a2a2a; border-radius: 6px; padding: 5px 12px; font-size: 12px; color: #888; }
  .st.over { background: #2a1210; border-color: #8C1A06; color: #EE6B55; }
  .st span { font-weight: 600; color: #fff; margin-left: 4px; }
  .st.tier { color: #9FE1CB; }
  svg { display: block; width: 100%; border: 1px solid #2a2a2a; border-radius: 8px; background: #1a2810; }
  .legend { display: flex; gap: 12px; margin-top: 8px; flex-wrap: wrap; }
  .li { display: flex; align-items: center; gap: 5px; font-size: 11px; color: #888; }
  .ld { width: 13px; height: 13px; border-radius: 2px; flex-shrink: 0; }
  #ib { font-size: 11px; color: #666; margin-top: 6px; min-height: 18px; padding: 0 2px; }
  #file-input { display: none; }
  footer { text-align: center; padding: 14px; font-size: 11px; color: #444; border-top: 1px solid #1e1e1e; margin-top: 12px; line-height: 1.7; }

  /* Modal */
  .modal-bg { display: none; position: fixed; inset: 0; background: rgba(0,0,0,0.75); z-index: 100; align-items: center; justify-content: center; }
  .modal-bg.open { display: flex; }
  .modal { background: #1e1e1e; border: 1px solid #333; border-radius: 10px; padding: 20px 24px; width: 400px; max-width: 96vw; max-height: 90vh; overflow-y: auto; }
  .modal h3 { font-size: 13px; font-weight: 600; color: #fff; margin-bottom: 14px; }
  .modal .section-label { font-size: 10px; font-weight: 600; color: #555; text-transform: uppercase; letter-spacing: 0.06em; margin: 12px 0 6px; border-top: 1px solid #2a2a2a; padding-top: 10px; }
  .modal .field { margin-bottom: 10px; }
  .modal .field label { display: block; font-size: 11px; color: #888; margin-bottom: 3px; }
  .modal .field input[type=text], .modal .field input[type=tel], .modal .field input[type=time], .modal .field input[type=number], .modal .field select {
    width: 100%; font-size: 13px; padding: 6px 10px; border-radius: 6px; border: 1px solid #333; background: #111; color: #eee; outline: none;
  }
  .modal .field input:focus, .modal .field select:focus { border-color: #9FE1CB; }
  .modal .field .hint { font-size: 10px; color: #666; margin-top: 3px; }
  /* inline slot width steppers (revealed on hover) */
  svg g[id^="s-"] .wctl { opacity: 0; pointer-events: none; transition: opacity .1s; }
  svg g[id^="s-"]:hover .wctl { opacity: 1; pointer-events: auto; cursor: pointer; }
  .modal .field.inline { display: flex; align-items: center; gap: 10px; }
  .modal .field.inline label { margin: 0; }
  .modal .field input[type=checkbox] { width: 16px; height: 16px; accent-color: #9FE1CB; cursor: pointer; }
  #ps-fields { margin-top: 0; }
  .modal .actions { display: flex; gap: 8px; justify-content: flex-end; margin-top: 16px; }
  #modal-save { background: #1a3a2a; border-color: #2a5a3a; color: #9FE1CB; }
  #modal-clear-btn { color: #f09595; border-color: #5a2a2a; }

  /* Print */
  @media print {
    body { background: #fff; color: #000; font-size: 10px; }
    header, .toolbar, .stats, .legend, #ib, #results, #facets, footer, .modal-bg { display: none !important; }
    #map { display: none !important; }
    .print-section { display: none; }
    .print-section.active { display: block !important; }
    .print-map-section { display: none; }
    .print-map-section.active { display: block !important; }
    /* Map pages size their own SVG in inches -- do not stretch it to the page box. */
    .map-page { page-break-after: always; break-after: page; page-break-inside: avoid; }
    .map-page:last-child { page-break-after: auto; break-after: auto; }
    .map-page svg { display: block; max-width: 100%; margin-left: auto; margin-right: auto;
                    background: #fff; border: 1px solid #ddd; border-radius: 0; }
    .map-page h2.print-title { font-size: 13px; margin: 0 0 1px; }
    .map-page .print-sub { font-size: 8.5px; margin: 0 0 5px; }
    .map-legend { margin-top: 6px; font-size: 8px; display: flex; gap: 12px; flex-wrap: wrap; }
    .map-legend span { display: flex; align-items: center; gap: 4px; }
    .map-legend i { display: inline-block; width: 9px; height: 9px; border-radius: 2px; }
    h2.print-title { font-size: 15px; font-weight: 700; margin-bottom: 2px; }
    .print-sub { font-size: 10px; color: #555; margin-bottom: 12px; }
    table { width: 100%; border-collapse: collapse; font-size: 10px; }
    th { background: #eee; padding: 4px 6px; text-align: left; border: 1px solid #ccc; font-weight: 600; }
    td { padding: 3px 6px; border: 1px solid #ddd; vertical-align: top; }
    tr:nth-child(even) td { background: #f9f9f9; }
  }
  .print-section { display: none; }
  .print-map-section { display: none; }
</style>
</head>
<body>
<header>
  <img src="data:image/png;base64,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" style="height:44px;width:44px;object-fit:contain;flex-shrink:0;" alt="TVR SCCA logo">
  <div style="flex:1;margin-left:10px;">
    <h1 id="pg-title">Barber Motorsports Park - Paddock Load-in Planner</h1>
    <div class="sub" id="pg-sub">Click a slot to assign &nbsp;&middot;&nbsp; Hover assigned slots for details &nbsp;&middot;&nbsp; Export or import your plan</div>
  </div>
  <div style="text-align:right;white-space:nowrap;line-height:1.8;">
    <div><span class="chip" id="mode-chip"></span></div>
    <div><a class="mlink" id="mode-link" href="#"></a></div>
    <div class="ver">v2.22</div>
  </div>
</header>

<div class="main">
  <div class="toolbar">
    <span id="sl" class="edit-only" style="font-size:12px;font-weight:600;min-width:65px;color:#9FE1CB">--</span>
    <input type="search" id="q" placeholder="Search name, slot, prep shop" autocomplete="off" spellcheck="false">
    <button id="q-clear" title="Clear search and filters">&times;</button>
    <span id="q-count"></span>
    <span class="tb-spacer"></span>
    <button id="ca" class="edit-only">Clear all</button>
    <button id="ex" class="edit-only">Export JSON</button>
    <button id="im" class="edit-only">Import JSON</button>
    <button id="pub" class="edit-only" style="background:#2a1a3a;border-color:#4a2a5a;color:#CBA9EC;">Publish (public)</button>
    <button id="pdf-slot">Print by slot</button>
    <button id="pdf-team">Print by team</button>
    <button id="pdf-map" style="background:#1a2a3a;border-color:#2a4a5a;color:#9FE1CB;">Print map</button>
    <span id="save-status" class="edit-only">auto-saved</span>
    <input type="file" id="file-input" accept=".json">
  </div>

  <!-- Facet chips: generated from the loaded plan's class/group values, hidden when it has none. -->
  <div id="facets" hidden>
    <div class="frow" id="frow-cls" hidden><span class="flab">Class</span><span class="fchips"></span></div>
    <div class="frow" id="frow-grp" hidden><span class="flab">Group</span><span class="fchips"></span></div>
    <div class="fbar" id="fbar" hidden>
      <button type="button" class="fchip" id="f-clear">&times; Clear filters</button>
      <button type="button" class="fchip" id="f-copy">Copy link</button>
      <span id="f-note"></span>
    </div>
  </div>

  <div id="results" hidden></div>

  <div class="stats">
    <div class="st">Total slots<span id="s-tot">0</span></div>
    <div class="st">Assigned<span id="s-asgn">0</span></div>
    <div class="st">Available<span id="s-avl">0</span></div>
    <div class="st over" style="display:none;">Will not fit<span id="s-over">0</span></div>
    <div class="st tier">T1<span id="sc1">0</span></div>
    <div class="st tier">T2<span id="sc2">0</span></div>
    <div class="st tier">T3<span id="sc3">0</span></div>
    <div class="st tier">T4<span id="sc4">0</span></div>
  </div>

  <svg id="map" viewBox="0 0 880 620" xmlns="http://www.w3.org/2000/svg"></svg>

  <div class="legend">
    <div id="depth-legend" style="display:contents;"></div>
    <div class="li"><div class="ld" style="background:#FAEEDA;border:1px solid #BA7517"></div>Assigned</div>
    <div class="li"><div class="ld" style="background:#D9CBF7;border:1px solid #6A3FC0"></div>Assigned + prep shop</div>
    <div class="li"><div class="ld" style="background:#F4C0D1;border:1px solid #D4537E"></div>Selected</div>
    <div class="li"><div class="ld" style="background:#444;border:1px solid #666"></div>Reserved</div>
    <div class="li"><div class="ld" style="background:#C0DD97;border:1px solid #639922"></div>Vendors</div>
    <div class="li"><div class="ld" style="background:#EE6B55;border:1px dashed #8C1A06"></div>Will not fit</div>
    <div class="li"><div class="ld" style="background:#EEEDFE;border:1px solid #7F77DD"></div>Grid / Impound</div>
    <div class="li"><div class="ld" style="background:#5BBCCC;border:1px solid #2a8a9a"></div>Fuel</div>
    <div class="li"><div class="ld" style="background:#FFC400;border:1px solid #4a3400;border-radius:50%"></div>Power pedestal (20/30/50A)</div>
    <div class="li"><div class="ld" style="background:#37D0C0;border:1px solid #0a3a36"></div>50A pit hookup</div>
    <div class="li"><div class="ld" style="background:#2E86DE;border:1px solid #0a2f5a;transform:rotate(45deg)"></div>Water hookup</div>
    <div class="li"><div class="ld" style="background:#9AA0A6;border:1px solid #2b2f33"></div>Stairs</div>
    <div class="li edit-only"><div class="ld" style="background:#2b3a1c;border:1px dashed #7a9a4a"></div>Unused pavement (ft)</div>
  </div>
  <div id="ib">Click a slot to assign a rig or set width/vendor. Hover a slot for +/- width steppers.</div>
</div>

<!-- Assignment modal -->
<div class="modal-bg" id="modal-bg">
  <div class="modal">
    <h3 id="modal-title">Assign slot</h3>

    <div class="field"><label>Slot type</label><select id="m-type">
      <option value="">Rig / team</option>
      <option value="vendor">Vendor</option>
    </select></div>
    <div class="field"><label>Slot width (ft)</label><input type="number" id="m-width" min="10" max="50" step="1"><div class="hint" id="m-width-hint"></div></div>
    <div class="field"><label id="m-name-label">Name</label><input type="text" id="m-name" placeholder="Driver / team name"></div>
    <div class="field"><label>Class</label><input type="text" id="m-class" placeholder="e.g. SM, SRF3, GT-1"></div>
    <div class="field"><label>Run group</label><input type="text" id="m-group" placeholder="e.g. Group 3"></div>
    <div class="field"><label>Mobile phone</label><input type="tel" id="m-mobile" placeholder="e.g. 555-867-5309"></div>
    <div class="field inline">
      <input type="checkbox" id="m-has-ps">
      <label for="m-has-ps">Prep shop</label>
    </div>
    <div id="ps-fields" style="display:none;">
      <div class="field"><label>Prep shop phone</label><input type="tel" id="m-ps-phone" placeholder="Prep shop phone"></div>
      <div class="field"><label>Prep shop contact name</label><input type="text" id="m-ps-contact" placeholder="Contact at prep shop"></div>
      <div class="field"><label>Prep shop name</label><input type="text" id="m-ps-name" placeholder="e.g. Carter Racing Engines"></div>
    </div>
    <div class="field"><label>Load-in time</label><input type="text" id="m-time" placeholder="e.g. 4:30 PM"></div>

    <div class="actions">
      <button id="modal-clear-btn" style="display:none;">Clear slot</button>
      <button onclick="closeModal()">Cancel</button>
      <button id="modal-save">Save</button>
    </div>
  </div>
</div>

<!-- Read-only slot card, shown instead of the assign modal on the public map -->
<div class="modal-bg" id="info-bg">
  <div class="modal">
    <h3 id="info-title">Slot</h3>
    <div id="info-body"></div>
    <div class="actions">
      <button id="info-link">Copy link</button>
      <button onclick="closeInfo()">Close</button>
    </div>
  </div>
</div>

<!-- Print sections -->
<div class="print-section" id="print-by-slot">
  <h2 class="print-title" id="print-slot-h">Barber Motorsports Park - Load-in Plan by Slot</h2>
  <div class="print-sub" id="print-slot-sub"></div>
  <table id="tbl-slot">
    <thead><tr><th>Slot</th><th>Name</th><th>Mobile</th><th>Load-in</th><th>Prep Shop?</th><th>PS Name</th><th>PS Contact</th><th>PS Phone</th></tr></thead>
    <tbody></tbody>
  </table>
</div>

<div class="print-section" id="print-by-team">
  <h2 class="print-title" id="print-team-h">Barber Motorsports Park - Load-in Plan by Team</h2>
  <div class="print-sub" id="print-team-sub"></div>
  <table id="tbl-team">
    <thead><tr><th>Name</th><th>Slot</th><th>Mobile</th><th>Load-in</th><th>Prep Shop?</th><th>PS Name</th><th>PS Contact</th><th>PS Phone</th></tr></thead>
    <tbody></tbody>
  </table>
</div>

<!-- Filled by buildPrintMap(): one overview page, then a landscape page per tier/side band. -->
<div class="print-map-section" id="print-map-wrap"></div>

<footer>
  &copy; 2026 SCSoftware &nbsp;&middot;&nbsp; Barber Motorsports Park Paddock Load-in Planner &nbsp;&middot;&nbsp; v2.22<br>
  SW entry at left &nbsp;&middot;&nbsp; Pit in / Pit out at right &nbsp;&middot;&nbsp; T1 is closest to pit lane
</footer>

<!-- The published plan. A plain script, not fetch(): this works under file://, over the
     LAN and on Render alike, and it is present synchronously before the app boots. -->
<script src="barber_plan.js"></script>
<script>const svg = document.getElementById('map');
const sl  = document.getElementById('sl');
const ib  = document.getElementById('ib');
const saveStatus = document.getElementById('save-status');
let asgn = {}, selId = null, slots = [];
// Assignments the map cannot seat: id -> 'over' (row ran out of room) or 'blocked'
// (bay retired under a keep-out). Drawn as red ghost boxes where the bay WOULD be.
let ghosts = {};
let ghostQueue = [];   // filled while rows are laid out, drawn once at the end of build()
let freeQueue  = [];   // same, for the unused-pavement measures (planner only)
// What each band actually believes about its own capacity, recorded as it is laid out.
// Exported so a plan generated elsewhere can reconcile against these numbers instead of
// against a measurement off a map.
let bandInfo = {};
const RISK_FT = 5;     // trailing bay with less slack than this is flagged at risk

const STORAGE_KEY = 'barber_paddock_v2';

// ── Mode ─────────────────────────────────────────────────────────────────────
// The plain URL is the PUBLIC read-only map of the published plan; ?edit is the planner.
// This is not access control -- there is no server, so anyone may add ?edit and change
// their own browser's copy. The only authoritative plan is the committed barber_plan.js.
const PARAMS = new URLSearchParams(location.search);
const EDIT = PARAMS.has('edit');
// Never shown, never published, never searchable on the public map.
const PRIVATE_KEYS = ['mobile','psContact','psPhone'];
let published = null;

// ── Real-world measurements ──────────────────────────────────────────────────
// Scale: 0.49px per foot
const FT  = 0.6282; // uniform GPS scale px/ft (v2.0 true-scale)
const GAP = 2;         // px gap between slots
const BLOCK_MIN = 0.4; // a keep-out taking this share of a bay retires it
const TREAD_PX = 2.1;  // drawn spacing between stair treads / walkway markings
const FREE_MIN_FT = 8; // unused pavement below this is rounding, not an opportunity
const FREE_FILL='#2b3a1c', FREE_STROKE='#7a9a4a', FREE_TEXT='#B9D98A';
const TH_ARR = [132, 71, 71, 71]; // tier heights: T1=132px(~80ft slots+grass), T2-4=71px(~60ft slots)
const TH  = 92;        // legacy - not used directly
const AH  = 13;        // aisle height px
const AW  = Math.round(22 * FT); // access road width px
// T1 has a grass strip between NW parking and aisle
const T1_GRASS = Math.round(80 * FT); // ~39px grass strip on T1 NW side

// Geometry from direct Google Maps measurements (center road to each perimeter road):
const SW_DIST = [499, 451, 399, 341]; // center road to SW entry road (ft) -- T1 GPS-calibrated to slot 1LN-1
const NE_DIST = [770, 733, 667, 613]; // center road to NE exit road (ft), per tier

// Center road sits at the same absolute X for all tiers
const ROAD_MX = 311;

const tY = [410, 321, 232, 143]; // top-y of each tier (recalculated for variable TH)

// All geometry derived directly from measured distances
const roadLx = i => ROAD_MX - Math.round(SW_DIST[i] * FT) - AW;
const roadMx = i => ROAD_MX;
const roadRx = i => ROAD_MX + Math.round(NE_DIST[i] * FT);
const secLX  = i => roadLx(i) + AW + 1;
const secLW  = i => ROAD_MX - roadLx(i) - AW - 1;  // flush against center road
const secRX  = i => ROAD_MX + AW;  // flush against center road
const secRW  = i => roadRx(i) - ROAD_MX - AW - 2;
const nwY    = i => tY[i] + 2;
const nwH    = i => { const th=TH_ARR[i]; const ay=tY[i]+th/2-AH/2; return ay-tY[i]-4; };
const seY    = i => { const th=TH_ARR[i]; const ay=tY[i]+th/2-AH/2; return ay+AH+2; };
const seH    = i => tY[i]+TH_ARR[i]-seY(i)-2;

// ── Storage ──────────────────────────────────────────────────────────────────
// One serializer for both localStorage and JSON export. Every slot becomes a flat
// object { width, ...assignment fields }, which is what makes a plan easy to author
// A slot record can be nothing but a width: an emptied bay keeps its width so it stays
// recoverable. Only a record that names someone (or a vendor) is an ENTRANT, and only an
// entrant is worth a red box, a counter, or a refusal.
function hasEntrant(id){ const a=asgn[id]; return !!(a&&(a.name||a.type)); }

// or generate programmatically: one dict per slot, no parallel maps to keep in sync.
function planData(){
  const out={};
  const put=(id,o)=>{
    const a=asgn[id];
    if(a&&(a.name||a.type)){
      ['name','type','carClass','group','mobile','loadTime','psName','psContact','psPhone']
        .forEach(k=>{ if(a[k]) o[k]=a[k]; });
      if(a.hasPs) o.hasPs=true;
    }
    out[id]=o;
  };
  slots.forEach(id=>put(id,{width:Math.round(slotFt(id))}));
  // Bays the map could not place are kept WITH their width and tagged, so a plan that is
  // generated programmatically is told what did not fit instead of quietly losing it --
  // and so the width survives to be edited back down on the next load.
  const tag=(id,why)=>{
    if(id in out) return;
    put(id,{width:Math.round(slotFt(id))});
    out[id].outOfBounds=true; out[id].reason=why;
  };
  Object.keys(ghosts).forEach(id=>tag(id,ghosts[id]==='blocked'?'retired':'no-room'));
  // Whatever is left has no ghost to speak for it. A bare width still travels -- that is how
  // an emptied bay stays recoverable -- UNLESS a keep-out has taken its pavement, in which
  // case there is nothing to recover and the record leaves, so a new cordon does not publish
  // widths for bays that no longer exist. An entrant is never dropped: it ghosted above.
  const retired=new Set();
  Object.keys(bandInfo).forEach(k=>(bandInfo[k].blocked||[]).forEach(id=>retired.add(id)));
  Object.keys(asgn).forEach(id=>{
    if(retired.has(id)&&!hasEntrant(id)) return;
    tag(id,'unplaced');                                // no derivable position at all
  });
  // The trailing bay of a tight row is the one a widening eats first. Flag it here so a
  // generated plan can steer clear of it, rather than discovering it after a round trip.
  Object.keys(bandInfo).forEach(k=>{
    const b=bandInfo[k];
    if(b.atRisk&&out[b.trailingSlot]) out[b.trailingSlot].atRisk=true;
  });
  return {version:'2.7',venue:'Barber Motorsports Park',savedAt:new Date().toISOString(),
          defaultWidthFt:DEFAULT_FT,smallWidthFt:SMALL_FT,
          pxPerFt:FT,slotGapPx:GAP,slotGapFt:+(GAP/FT).toFixed(2),riskMarginFt:RISK_FT,
          bands:bandInfo,
          outOfBoundsSlots:Object.keys(out).filter(k=>out[k].outOfBounds),
          atRiskSlots:Object.keys(out).filter(k=>out[k].atRisk),slots:out};
}

// Read a v2.7 `slots` map back in. Only widths that deviate from the default are
// recorded, so a hand-written file may omit `width` entirely and inherit it.
// v2.11 moved the grid box onto the SW end of 1LN and reopened its old footprint as
// the 1RS row. The seven displaced slots map across west-to-east, so a saved plan's
// entrants land in the same left-to-right order in their new home. Idempotent: once
// remapped the old IDs are gone, so re-reading a migrated plan is a no-op.
// RETIRED in v2.20. The v2.11 grid swap shortened 1LN at the DEFAULT 33ft width, and this
// table rewrote the displaced ids (1LN-6 -> 1RS-7 and so on) on every read. But a row's bay
// count depends on its widths: at 20ft, 1LN fits eight bays, so 1LN-6..8 are perfectly real
// current slots -- and the table was silently relocating their drivers on every import,
// corrupting a plain export/import round trip. A one-time migration applied forever.
//
// A genuinely pre-swap plan now places its entrants at the ids it names; any that no longer
// fit become red out-of-bounds ghosts, which are visible, reported and recoverable. That is
// strictly better than moving somebody without saying so.

function applyPlanSlots(src){
  const nw={},na={};
  Object.keys(src||{}).forEach(id=>{
    const v=src[id]||{};
    if(typeof v.width==='number'&&isFinite(v.width)){
      const w=Math.max(W_MIN,Math.min(W_MAX,Math.round(v.width)));
      if(w!==defaultFtForId(id)) nw[id]=w;
    }
    if(v.name||v.type) na[id]=EDIT?normAsgn(v):scrubAsgn(normAsgn(v));
  });
  slotW=nw; asgn=na;              // ids are taken at face value: what you export, you import
}


// v2.6 and earlier kept per-tier widths in sliders. Those are gone, so materialize any
// tier whose old value differed from the constant default into explicit per-slot widths
// -- the saved layout then survives the upgrade byte for byte.
function applyLegacyPlan(tierWidths,overrides,assignments){
  slotW={};
  if(overrides&&typeof overrides==='object') Object.keys(overrides).forEach(k=>{ slotW[k]=overrides[k]; });
  asgn=migrateData(assignments);
  const tw=Array.isArray(tierWidths)?tierWidths.map(n=>parseInt(n)):null;
  if(tw&&tw.some(w=>w&&w!==DEFAULT_FT)){
    legacyTierFt=tw;
    build();                                  // slot set exactly as the old build drew it
    slots.forEach(id=>{
      if(slotW[id]===undefined&&!isSmallId(id)){
        const w=tw[+id[0]-1];
        if(w&&w!==DEFAULT_FT) slotW[id]=w;
      }
    });
    legacyTierFt=null;
  }
}

function saveToStorage(){
  if(!EDIT) return;          // the public map never writes over your draft
  if(!asgn) asgn={};
  try{
    localStorage.setItem(STORAGE_KEY, JSON.stringify(planData()));
    saveStatus.textContent='saved '+new Date().toLocaleTimeString([],{hour:'2-digit',minute:'2-digit'});
    saveStatus.classList.add('saved');
    setTimeout(()=>{saveStatus.classList.remove('saved');saveStatus.textContent='auto-saved';},2000);
  }catch(e){ saveStatus.textContent='save failed'; }
}

// The public map shows the PUBLISHED plan, never this browser's draft. Deliberately does
// not seed DEFAULT_VENDORS: a public map must show what was published, not a guess.
function loadPublished(){
  asgn={}; slotW={}; published=null;
  const p=window.BARBER_PLAN;
  if(!p||!p.slots) return;
  try{ applyPlanSlots(p.slots); published=p; }
  catch(e){ asgn={}; slotW={}; published=null; }   // reported in the UI, not the console
}

function loadFromStorage(){
  try{
    const raw=localStorage.getItem(STORAGE_KEY);
    if(!raw){ // fresh browser: seed the usual tire vendors (editable, movable)
      asgn={}; Object.keys(DEFAULT_VENDORS).forEach(id=>{ asgn[id]=normAsgn({name:DEFAULT_VENDORS[id],type:'vendor'}); });
      return;
    }
    const data=JSON.parse(raw);
    if(data.slots) applyPlanSlots(data.slots);
    else applyLegacyPlan(data.widths,data.slotW,data.assignments);
  }catch(e){ console.warn('load error',e); }
}

function migrateData(raw){
  if(!raw) return {};
  const out={};
  Object.keys(raw).forEach(id=>{
    const v=raw[id];
    out[id]=normAsgn(typeof v==='string'?{name:v}:v);
  });
  return out;
}

// ── SVG helpers ──────────────────────────────────────────────────────────────
function N(tag,a={}){
  const e=document.createElementNS('http://www.w3.org/2000/svg',tag);
  for(const[k,v] of Object.entries(a)){ if(v!==null&&v!==undefined) e.setAttribute(k,v); }
  return e;
}
function addR(x,y,w,h,fill,stk,sw=0.8){
  if(w<=0||h<=0) return;
  svg.appendChild(N('rect',{x,y,width:w,height:h,fill,stroke:stk,'stroke-width':sw,rx:2}));
}
function addT(t,x,y,sz,fill,anch='middle',bold=false){
  const el=N('text',{x,y,'font-size':sz,fill,'text-anchor':anch,'font-weight':bold?600:400,'dominant-baseline':'middle'});
  el.textContent=t; svg.appendChild(el);
}
function resBox(x,y,w,h,lbl,fill,stk){
  if(w<=2||h<=2) return;
  addR(x,y,w,h,fill,stk,1);
  const tc=fill==='#444'?'#aaa':fill==='#C0DD97'?'#27500A':fill==='#5BBCCC'?'#0a4a55':fill==='#EEEDFE'?'#3C3489':'#5F5E5A';
  addT(lbl,x+w/2,y+h/2,Math.min(7,w/Math.max(lbl.length,1)*1.5),tc,'middle',true);
}

// ── Slot creation ─────────────────────────────────────────────────────────────
// Per-slot width overrides (feet), keyed by slot id. Absent => tier default.
let slotW = {};
const W_MIN = 10, W_MAX = 50;
// Label geometry, shared by mkSlot (which decides orientation) and fitLabel/setPsLabel
// (which size to it). LBL_MIN is the smallest legible size; below it we truncate instead.
const LBL_MIN = 3.4, LBL_AR = 1.6;
// Likely tire-vendor positions, seeded only on a fresh load (fully editable after).
// Vendors are one generic green slot type; the vendor's own name is just the name
// field. Seeded on a fresh load only, and movable like any other assignment.
const DEFAULT_VENDORS = {'1LS-14':'Hoosier','1LS-13':'Hoosier','1LS-12':'Hoosier',
                         '1LS-11':'Goodyear','1LS-10':'Goodyear'};
// Pre-v2.10 plans stored the tire brand as the slot type; fold those into the name.
const LEGACY_VENDOR = {hoosier:'Hoosier', goodyear:'Goodyear'};
// Default widths are constants now -- width is per-slot data, not a UI control.
const DEFAULT_FT = 33, SMALL_FT = 30;
let legacyTierFt = null;   // non-null only while migrating a pre-v2.7 plan
function isSmallId(id){ return id[0]==='4'; }
function defaultFtForId(id){
  if(isSmallId(id)) return SMALL_FT;
  if(legacyTierFt){ const w=legacyTierFt[+id[0]-1]; if(w) return w; }
  return DEFAULT_FT;
}
function slotFt(id){ return slotW[id]||defaultFtForId(id); }
function isVendor(a){ return !!(a && a.type==='vendor'); }
function vendorLabel(a){ return (a&&a.name)||'Vendor'; }
// One place to normalize an assignment read from storage, JSON, or a legacy plan.
// Blank the private fields rather than delete them, so every render site that already
// tests `if(a.mobile)` self-censors with no further change.
function scrubAsgn(a){ const o={...a}; PRIVATE_KEYS.forEach(k=>o[k]=''); return o; }
// Race class and run group arrive from whatever the plan generator calls them.
const pick=(v,keys)=>{ for(const k of keys){ if(v[k]) return String(v[k]).trim(); } return ''; };
function normAsgn(v){
  let type=v.type||'', name=v.name||'';
  if(LEGACY_VENDOR[type]){ if(!name) name=LEGACY_VENDOR[type]; type='vendor'; }
  else if(type&&type!=='vendor') type='vendor';   // any other old brand key
  return {name:name,type:type,mobile:v.mobile||v.phone||'',loadTime:v.loadTime||'',
    carClass:pick(v,['carClass','class','cls','raceClass']),
    group:pick(v,['group','runGroup','grp','rungroup']),
    hasPs:!!v.hasPs,psName:v.psName||'',psContact:v.psContact||'',psPhone:v.psPhone||''};
}
// Depth ramp: each step moves in BOTH lightness and hue (navy -> blue -> cyan)
// so adjacent depths stay distinguishable at slot size.
function depthColor(ft){ft=+ft;
  if(ft>=80) return ['#06427D','#02264a','#dcecfa'];
  if(ft>=72) return ['#1F7EBF','#0a4471','#eaf3fb'];
  if(ft>=54) return ['#58AFD4','#1a6a8c','#052a3d'];
  if(ft>=45) return ['#9BD3E3','#3f8ba3','#052a3d'];
  return ['#DBEFF5','#6ba4b5','#083040'];}
// Assigned rigs whose crew uses a prep shop get their own fill.
const PS_FILL='#D9CBF7', PS_STROKE='#6A3FC0', PS_TEXT='#33176E';
// Ghost (won't-fit) boxes.
const GH_FILL='#EE6B55', GH_STROKE='#8C1A06', GH_TEXT='#3B0800';
const GH_MAX=40;   // how far past a full row to keep looking for stranded assignments
function psFirstWord(a){
  if(!a||!a.hasPs) return '';
  const n=(a.psName||'').trim(); if(!n) return '';
  return n.split(/\s+/)[0];
}
function mkSlot(id,corners,depthFt,wft){
  const w=Math.hypot(corners[1][0]-corners[0][0],corners[1][1]-corners[0][1]);
  const h=Math.hypot(corners[3][0]-corners[0][0],corners[3][1]-corners[0][1]);
  if(w<=3||h<=3) return;
  const dc=depthColor(depthFt);
  const g=N('g',{id:'s-'+id,style:'cursor:pointer'});
  g.dataset.fill=dc[0];g.dataset.stroke=dc[1];g.dataset.text=dc[2];g.dataset.depth=depthFt;g.dataset.wft=wft||'';
  const cx=(corners[0][0]+corners[1][0]+corners[2][0]+corners[3][0])/4;
  const cy=(corners[0][1]+corners[1][1]+corners[2][1]+corners[3][1])/4;
  // A bay narrower than its own label renders the id as "3R…". Since W_MIN is 10ft that is
  // every bay under about 20ft, so read the label DOWN the bay instead: depth is 28-50px
  // against a width of 6. Decided once here; fitLabel and setPsLabel size against
  // dataset.labw and never need to know which way round it ended up.
  const rot=w*LBL_AR/LBL_MIN<id.length;
  g.dataset.wpx=w;g.dataset.cy=cy;g.dataset.rot=rot?'1':'';g.dataset.labw=rot?h:w;
  g.appendChild(N('polygon',{points:corners.map(p=>p[0]+','+p[1]).join(' '),fill:dc[0],stroke:dc[1],'stroke-width':0.5}));
  const fs=rot?Math.min(6.5,h/Math.max(id.length,1)*1.2,w*0.8)
              :Math.min(6.5,w/Math.max(id.length,1)*1.2);
  g.dataset.fs=fs;
  const spin=rot?{transform:'rotate(-90 '+cx+' '+cy+')'}:{};
  const nt=N('text',Object.assign({x:cx,y:cy,'font-size':fs,fill:dc[2],'text-anchor':'middle','font-weight':600,'dominant-baseline':'middle'},spin));
  nt.dataset.role='id'; nt.textContent=id; g.appendChild(nt);
  // second line, shown only when the slot's team runs a prep shop
  const pst=N('text',Object.assign({x:cx,y:cy,'font-size':fs,fill:dc[2],'text-anchor':'middle','font-weight':600,'dominant-baseline':'middle'},spin));
  pst.dataset.role='ps'; pst.style.display='none'; g.appendChild(pst);
  const tip=document.createElementNS('http://www.w3.org/2000/svg','title'); g.appendChild(tip);
  tip.textContent=id+' ('+depthFt+String.fromCharCode(8242)+' deep, '+Math.round(wft||slotFt(id))+String.fromCharCode(8242)+' wide)'+(isSmallId(id)?' small rig / staff':'');
  g.addEventListener('click',()=>onSlotClick(id,g));
  if(!EDIT){ svg.appendChild(g); slots.push(id); return; }
  // inline width steppers on the front (aisle) edge, revealed on hover
  const stp=(pt,sym,delta)=>{
    const c=N('circle',{cx:pt[0],cy:pt[1],r:3,fill:'#0d3a6a',stroke:'#cfe1f2','stroke-width':0.5}); c.setAttribute('class','wctl');
    const s=N('text',{x:pt[0],y:pt[1]+0.3,'font-size':4.6,fill:'#fff','text-anchor':'middle','dominant-baseline':'middle'}); s.textContent=sym; s.setAttribute('class','wctl'); s.style.pointerEvents='none';
    c.addEventListener('click',ev=>{ev.stopPropagation(); adjustWidth(id,delta);});
    g.appendChild(c); g.appendChild(s);
  };
  stp(corners[0],'−',-1); stp(corners[1],'+',1);
  svg.appendChild(g); slots.push(id);
}

// A bay that cannot exist, drawn anyway so the problem is visible: red, dashed, and
// sitting wherever the row's own maths says it would have gone.
function mkGhost(id,corners,depthFt,wft,reason){
  const w=Math.hypot(corners[1][0]-corners[0][0],corners[1][1]-corners[0][1]);
  const h=Math.hypot(corners[3][0]-corners[0][0],corners[3][1]-corners[0][1]);
  if(w<=3||h<=3) return;
  ghosts[id]=reason;
  const g=N('g',{id:'x-'+id,style:'cursor:pointer'});
  g.dataset.depth=depthFt; g.dataset.wft=wft||''; g.dataset.wpx=w; g.dataset.reason=reason;
  const cx=(corners[0][0]+corners[1][0]+corners[2][0]+corners[3][0])/4;
  const cy=(corners[0][1]+corners[1][1]+corners[2][1]+corners[3][1])/4;
  g.dataset.cy=cy;
  g.appendChild(N('polygon',{points:corners.map(p=>p[0]+','+p[1]).join(' '),
    fill:GH_FILL,stroke:GH_STROKE,'stroke-width':1.1,'stroke-dasharray':'3 2'}));
  const fs=Math.min(6.5,w/Math.max(id.length,1)*1.2);
  g.dataset.fs=fs;
  const nt=N('text',{x:cx,y:cy-fs*0.7,'font-size':fs,fill:GH_TEXT,'text-anchor':'middle',
    'font-weight':700,'dominant-baseline':'middle'});
  nt.dataset.role='id'; nt.textContent=id; g.appendChild(nt);
  const named=!!slotName(asgn[id]);
  const nm=N('text',{x:cx,y:cy+fs*0.55,'font-size':fs,fill:GH_TEXT,'text-anchor':'middle',
    'font-weight':600,'dominant-baseline':'middle'});
  nm.dataset.role='gname'; g.appendChild(nm);
  fitLabel(nm,slotName(asgn[id]),g);
  const wn=N('text',{x:cx,y:cy+(named?fs*1.9:fs*0.7),fill:GH_TEXT,'text-anchor':'middle',
    'dominant-baseline':'middle'});
  fitLabel(wn,reason==='blocked'?'RETIRED':'NO ROOM',g,fs*0.85);
  g.appendChild(wn);
  const tip=document.createElementNS('http://www.w3.org/2000/svg','title'); g.appendChild(tip);
  tip.textContent=ghostTip(id);
  g.addEventListener('click',()=>onSlotClick(id,g));
  ghostQueue.push(g);
}
function slotName(a){
  if(!a) return '';
  return isVendor(a)?vendorLabel(a):(a.name||'');
}
// Which bays can actually pull a stranded assignment back? In a plain row, any of them. In
// a row a walkway splits, only the ones past the strip -- narrowing anything before it is
// wasted effort, and saying "narrow the row" without that is how someone ends up shrinking
// five bays for nothing.
function tailHint(id){
  const b=bandInfo[prefixOf(id).replace(/-$/,'')];
  if(!b||!b.tailFrom) return '';
  const tail=b.slots.slice(b.slots.indexOf(b.tailFrom));
  if(!tail.length) return '';
  return ' A walkway splits this row, so only '+b.tailFrom+'–'+tail[tail.length-1]+
         ' can free space here; narrowing anything before the walkway will not help.';
}
function ghostTip(id){
  const a=asgn[id]||{}, PR=String.fromCharCode(8242);
  const why=ghosts[id]==='blocked'
    ? 'RETIRED BAY - it sits under a keep-out'
    : 'WILL NOT FIT - the row has no room left at the current widths.'+tailHint(id);
  let t=id+': '+(slotName(a)||(asgn[id]?'(unnamed)':'(empty)'))+'  |  '+why;
  if(a.mobile) t+='  |  '+a.mobile;
  return t+'  |  needs '+Math.round(slotFt(id))+PR+' wide. Click to '+
    (asgn[id]?'edit or clear it':'change its width')+'.';
}

function fillRowRight(pfx,x,y,w,h,slotW,small=false,deep=false){
  // Fill right-to-left so slots are flush against the right edge (center road)
  if(w<=0||h<=0) return;
  // Calculate how many slots fit
  const count=Math.floor((w+GAP)/(slotW+GAP));
  // Start position: right edge minus all slots
  let cx=x+w-(count*(slotW+GAP)-GAP);
  for(let n=1;n<=count;n++){mkSlot(pfx+n,cx,y,slotW,h,small,deep);cx+=slotW+GAP;}
}
function fillRow(pfx,x,y,w,h,slotW,small=false,deep=false){
  if(w<=0||h<=0) return;
  let cx=x,n=1;
  while(cx+slotW<=x+w-1){ mkSlot(pfx+n,cx,y,slotW,h,small); cx+=slotW+GAP; n++; }
}

// ── Slot state ───────────────────────────────────────────────────────────────
function tipText(id){
  const a=asgn[id], g=document.getElementById('s-'+id), PR=String.fromCharCode(8242);
  const dims=(g?g.dataset.depth:'?')+PR+' deep, '+Math.round(slotFt(id))+PR+' wide';
  if(!a) return id+' ('+dims+')'+(isSmallId(id)?' small rig / staff':'');
  if(isVendor(a)){
    let t=id+': '+vendorLabel(a)+' (vendor)';
    if(a.mobile)   t+='  |  '+a.mobile;
    if(a.loadTime) t+='  |  Load-in: '+a.loadTime;
    return t+'  |  '+dims;
  }
  let t=id+': '+(a.name||'');
  if(a.carClass||a.group) t+='  |  '+[a.carClass,a.group].filter(Boolean).join(' / ');
  if(a.mobile)   t+='  |  '+a.mobile;
  if(a.loadTime) t+='  |  Load-in: '+a.loadTime;
  if(a.hasPs&&a.psName) t+='  |  PS: '+a.psName;
  return t+'  |  '+dims;
}

// Set a slot's main label, shrinking then truncating so a long vendor name stays
// inside its box instead of running over the neighbours.
function fitLabel(nt,txt,g,baseFs){
  if(!nt) return;
  const w=+g.dataset.labw||+g.dataset.wpx||20, base=baseFs||+g.dataset.fs||5,
        MIN=LBL_MIN, AR=LBL_AR;
  let t=txt, fs=Math.min(base,w/Math.max(t.length,1)*AR);
  if(fs<MIN){
    const max=Math.max(3,Math.floor(w*AR/MIN));
    if(t.length>max) t=t.slice(0,max-1)+String.fromCharCode(8230);
    fs=MIN;
  }
  nt.setAttribute('font-size',fs.toFixed(2));
  nt.textContent=t;
}

// Stack the slot id over the prep-shop word (or re-center the id when there is none).
function setPsLabel(g,nt,pst,word){
  if(!pst) return;
  const cy=+g.dataset.cy, fs=+g.dataset.fs||5;
  // Stacking needs width the rotated case does not have -- the prep shop stays in the tooltip.
  if(!word||g.dataset.rot){
    pst.style.display='none'; pst.textContent='';
    if(nt) nt.setAttribute('y',cy);
    return;
  }
  // Shrink to fit the slot width, but never below MIN -- past that, truncate instead.
  const w=+g.dataset.wpx||20, MIN=3.4, AR=1.5;
  let txt=word, pfs=Math.min(fs,w/Math.max(txt.length,1)*AR);
  if(pfs<MIN){
    const max=Math.max(3,Math.floor(w*AR/MIN));
    if(txt.length>max) txt=txt.slice(0,max-1)+String.fromCharCode(8230);
    pfs=MIN;
  }
  pst.style.display=''; pst.textContent=txt;
  pst.setAttribute('font-size',pfs);
  pst.setAttribute('fill',PS_TEXT);
  pst.setAttribute('y',cy+fs*0.62);
  if(nt) nt.setAttribute('y',cy-pfs*0.62);
}

// Paint one slot according to its current state (default / assigned / prep shop / vendor).
function paintGhost(id){
  const g=document.getElementById('x-'+id); if(!g) return;
  const poly=g.querySelector('polygon');
  poly.setAttribute('fill',GH_FILL); poly.setAttribute('stroke',GH_STROKE);
  const nm=g.querySelector('text[data-role="gname"]');
  if(nm) fitLabel(nm,slotName(asgn[id]),g);
  const tip=g.querySelector('title'); if(tip) tip.textContent=ghostTip(id);
}

function paintSlot(id){
  const g=document.getElementById('s-'+id); if(!g) return paintGhost(id);
  const a=asgn[id];
  const poly=g.querySelector('polygon');
  const nt=g.querySelector('text[data-role="id"]'), pst=g.querySelector('text[data-role="ps"]');
  const ps=psFirstWord(a);
  if(isVendor(a)){
    poly.setAttribute('fill','#C0DD97'); poly.setAttribute('stroke','#639922');
    if(nt) nt.setAttribute('fill','#27500A');
    fitLabel(nt,vendorLabel(a),g);
  } else if(a&&a.hasPs){
    poly.setAttribute('fill',PS_FILL); poly.setAttribute('stroke',PS_STROKE);
    if(nt) nt.setAttribute('fill',PS_TEXT);
    fitLabel(nt,id,g);
  } else if(a){
    poly.setAttribute('fill','#FAEEDA'); poly.setAttribute('stroke','#BA7517');
    if(nt) nt.setAttribute('fill','#854F0B');
    fitLabel(nt,id,g);
  } else {
    poly.setAttribute('fill',g.dataset.fill); poly.setAttribute('stroke',g.dataset.stroke);
    if(nt) nt.setAttribute('fill',g.dataset.text);
    fitLabel(nt,id,g);
  }
  setPsLabel(g,nt,pst,ps);
  const tip=g.querySelector('title');
  if(tip) tip.textContent=tipText(id);
}

function applyAssignments(){ if(!asgn) asgn={}; slots.forEach(paintSlot); updStats(); refreshFacets(); applySearch(); }

function redraw(id){ paintSlot(id); updStats(); }

function updStats(){
  if(!asgn) asgn={};
  const tot=slots.length, as=Object.keys(asgn).filter(id=>document.getElementById('s-'+id)).length;
  document.getElementById('s-tot').textContent=tot;
  document.getElementById('s-asgn').textContent=as;
  document.getElementById('s-avl').textContent=tot-as;
  const over=Object.keys(ghosts).length+
    Object.keys(asgn).filter(id=>hasEntrant(id)&&!document.getElementById('s-'+id)&&!ghosts[id]).length;
  const oc=document.getElementById('s-over');
  if(oc){ oc.parentElement.style.display=over?'':'none'; oc.textContent=over; }
  [0,1,2,3].forEach(i=>{
    const n=slots.filter(s=>s.startsWith((i+1)+'')).length;
    document.getElementById('sc'+(i+1)).textContent=n;
  });
}

// Change a slot's width (feet), rebuild, and guard against orphaning an assigned trailing slot.
// Largest width this slot can take without costing the row a bay. Each trial rebuilds
// the map, so it puts back whatever override was in place on the way out.
// `fromFt` is the width in force BEFORE this change -- by the time we are called
// slotW[id] already holds the requested one, so it can't be read back from there.
function maxWidthKeeping(id,before,upTo,fromFt){
  const entry=slotW[id];
  const apply=w=>{ if(w===defaultFtForId(id)) delete slotW[id]; else slotW[id]=w; build(); };
  const keeps=w=>{ apply(w); return !before.some(k=>slots.indexOf(k)<0); };
  const cur=fromFt;
  let lo=cur, hi=Math.min(W_MAX,upTo-1), best=cur;   // wider drops more, so this is monotonic
  while(lo<=hi){
    const mid=Math.floor((lo+hi)/2);
    if(keeps(mid)){ best=mid; lo=mid+1; } else hi=mid-1;
  }
  if(entry===undefined) delete slotW[id]; else slotW[id]=entry;
  build();
  return {max:best,cur:cur};
}
function capHint(id,cap){
  const PR=String.fromCharCode(8242);
  return cap.max>cap.cur
    ? 'The most '+id+' can take without losing a bay is '+cap.max+PR+'.'
    : id+' is already as wide as this row allows ('+cap.cur+PR+').';
}

function setSlotWidth(id,ft){
  if(!EDIT) return false;
  ft=Math.max(W_MIN,Math.min(W_MAX,Math.round(ft)));
  const prev=slotW[id];
  const curFt=prev===undefined?defaultFtForId(id):prev;
  if(ft===defaultFtForId(id)) delete slotW[id]; else slotW[id]=ft;
  const before=slots.slice();
  const saved={...asgn}; build(); asgn=saved;
  const revert=()=>{
    if(prev===undefined) delete slotW[id]; else slotW[id]=prev;
    build(); asgn=saved; applyAssignments();
  };
  // Widening eats into the row, and it eats from the far end -- widen the FIRST bay and
  // it is the LAST one that goes. Occupied or not, that is the user's call, not a refusal
  // buried in the info bar: anything that no longer fits stays visible as a red
  // out-of-bounds box with its assignment intact.
  const gone=before.filter(k=>slots.indexOf(k)<0);
  const rowN=slots.filter(k=>k.indexOf(prefixOf(id))===0).length;
  if(gone.length){
    // Refuse only what genuinely cannot be shown: an assignment with nowhere to draw.
    const invisible=gone.filter(k=>hasEntrant(k)&&!ghosts[k]);
    if(invisible.length){
      revert();
      const cap=maxWidthKeeping(id,before,ft,curFt); asgn=saved; applyAssignments();
      const msg='Can’t set '+id+' to '+ft+'′ — '+invisible.join(', ')+
        ' would be dropped with nowhere to show it. '+capHint(id,cap);
      alert(msg); ib.textContent=msg;
      return false;
    }
    const cap=maxWidthKeeping(id,before,ft,curFt); asgn=saved;
    const ok=confirm('At '+ft+'′ this row only holds '+rowN+' bays.\n\n'+
      goneText(id,gone)+
      '\n\nThey stay on the map as red out-of-bounds boxes you can still open and edit, '+
      'keep their assignments, and are tagged in the JSON.\n\n'+
      capHint(id,cap)+'\n\nContinue?');
    if(!ok){ revert(); ib.textContent=id+' left at '+Math.round(slotFt(id))+'′. '+capHint(id,cap); return false; }
  }
  applyAssignments(); saveToStorage();
  const many=gone.length>1, took=gone.filter(k=>asgn[k]).length;
  ib.textContent=gone.length
    ? id+' set to '+ft+'′ — the row now holds '+rowN+' bays. '+gone.join(', ')+
      (many?' no longer fit and are':' no longer fits and is')+
      ' marked out of bounds in red'+(took?' (including '+took+' with someone in it)':'')+
      '; click to bring '+(many?'them':'it')+' back.'
    : id+' width set to '+ft+'′.'+deadEndNote(id,before,rowN);
  return true;
}
// Freeing space on the wrong side of a walkway is silent and looks broken: the width takes,
// the row count does not move, and the red box the user was aiming at stays put. Say it.
function deadEndNote(id,before,rowN){
  const pfx=prefixOf(id), b=bandInfo[pfx.replace(/-$/,'')];
  if(!b||!b.tailFrom) return '';
  if(before.filter(k=>k.indexOf(pfx)===0).length!==rowN) return '';   // the row did move
  if(!b.outOfBounds.length) return '';                               // nothing was waiting
  if(+id.slice(pfx.length)>=+b.tailFrom.slice(pfx.length)) return ''; // edited the right side
  return ' The row still holds '+rowN+' bays: a walkway splits it, and '+id+' is on the far '+
         'side of the strip from '+b.outOfBounds.join(', ')+'. Only '+b.tailFrom+' onward can '+
         'make room there.';
}
function prefixOf(id){ return id.replace(/\d+$/,''); }
// Name what is about to go out of bounds -- and who is in it, which is the difference
// between an informed yes and a nasty surprise.
function goneText(id,gone){
  const label=k=>{ const a=asgn[k]; return k+(a?' ('+(slotName(a)||'assigned')+')':' (empty)'); };
  if(gone.length===1&&gone[0]===id) return id+' itself is the bay that no longer fits'+
    (asgn[id]?', and it holds '+(slotName(asgn[id])||'an assignment'):'')+'.';
  const taken=gone.filter(k=>asgn[k]);
  return 'No longer fits: '+gone.map(label).join(', ')+'.'+
    (taken.length?'\n\nThat includes '+taken.length+' with someone in it.':'');
}
function adjustWidth(id,delta){ if(!EDIT) return; setSlotWidth(id, Math.round(slotFt(id))+delta); }

// ── Modal ────────────────────────────────────────────────────────────────────
// A slot click means "edit this" in the planner and "tell me about this" on the public map.
function onSlotClick(id,g){ return EDIT?openModal(id,g):openInfo(id,g); }

function openModal(id,g){
  if(!EDIT) return openInfo(id,g);
  if(selId&&selId!==id) redraw(selId);
  selId=id;
  g.querySelector('polygon').setAttribute('fill','#F4C0D1');
  g.querySelector('polygon').setAttribute('stroke','#D4537E');
  sl.textContent=id;
  const a=asgn[id]||{};
  document.getElementById('modal-title').textContent='Assign slot '+id;
  document.getElementById('m-type').value=a.type||'';
  syncTypeFields();
  document.getElementById('m-width').value=Math.round(slotFt(id));
  document.getElementById('m-width-hint').textContent=ghosts[id]
    ? (ghosts[id]==='blocked'
        ? 'This bay is retired - it sits under a keep-out and cannot be parked.'
        : 'This bay does not fit at '+Math.round(slotFt(id))+'′. Reduce the width to bring it back.')
    : 'Default '+defaultFtForId(id)+'′. Changing this re-fills the row (slots '+W_MIN+'–'+W_MAX+'′).';
  document.getElementById('m-name').value=a.name||'';
  document.getElementById('m-class').value=a.carClass||'';
  document.getElementById('m-group').value=a.group||'';
  document.getElementById('m-mobile').value=a.mobile||'';
  document.getElementById('m-time').value=a.loadTime||'';
  const hasPs=!!a.hasPs;
  document.getElementById('m-has-ps').checked=hasPs;
  syncPsFields();
  document.getElementById('m-ps-name').value=a.psName||'';
  document.getElementById('m-ps-contact').value=a.psContact||'';
  document.getElementById('m-ps-phone').value=a.psPhone||'';
  document.getElementById('modal-clear-btn').style.display=asgn[id]?'inline-block':'none';
  document.getElementById('modal-bg').classList.add('open');
  document.getElementById('m-name').focus();
}

function closeModal(){
  document.getElementById('modal-bg').classList.remove('open');
  const id=selId; selId=null; sl.textContent='--';
  if(id) afterEdit(id);
}

// Editing a bay with no real slot changes whether a ghost should exist at all,
// so rebuild rather than repaint.
function afterEdit(id){
  // The fast path used to skip the facet and search refresh, so editing a rig left stale
  // chip counts and a stale result list on screen.
  if(document.getElementById('s-'+id)){ paintSlot(id); updStats(); refreshFacets(); applySearch(); return; }
  build(); applyAssignments();
}

// A vendor's name is just the name field -- relabel it so that reads clearly.
function syncTypeFields(){
  const vend=document.getElementById('m-type').value==='vendor';
  document.getElementById('m-name-label').textContent=vend?'Vendor name':'Name';
  document.getElementById('m-name').placeholder=vend?'e.g. Hoosier, Goodyear, VP Fuels':'Driver / team name';
}
document.getElementById('m-type').addEventListener('change',syncTypeFields);

function syncPsFields(){
  const checked=document.getElementById('m-has-ps').checked;
  document.getElementById('ps-fields').style.display=checked?'block':'none';
  if(checked) document.getElementById('m-ps-phone').focus();
}

document.getElementById('m-has-ps').addEventListener('change', syncPsFields);
document.getElementById('modal-save').addEventListener('click',()=>{
  if(!EDIT||!selId) return;
  const id=selId;
  const name=document.getElementById('m-name').value.trim();
  const type=document.getElementById('m-type').value;
  if(name||type){
    asgn[id]={name,type,
      carClass: document.getElementById('m-class').value.trim(),
      group:    document.getElementById('m-group').value.trim(),
      mobile:   document.getElementById('m-mobile').value.trim(),
      loadTime: document.getElementById('m-time').value.trim(),
      hasPs:    document.getElementById('m-has-ps').checked,
      psName:   document.getElementById('m-ps-name').value.trim(),
      psContact:document.getElementById('m-ps-contact').value.trim(),
      psPhone:  document.getElementById('m-ps-phone').value.trim()};
    ib.textContent=(type?'Vendor "'+vendorLabel(asgn[id])+'" set on ':'Assigned "'+name+'" to ')+id+'.';
  } else {
    delete asgn[id];
  }
  // width change (may rebuild the row); guarded against orphaning assignments
  const wft=parseInt(document.getElementById('m-width').value)||defaultFtForId(id);
  const changed = wft!==Math.round(slotFt(id));
  document.getElementById('modal-bg').classList.remove('open'); selId=null; sl.textContent='--';
  if(changed) setSlotWidth(id,wft); else { afterEdit(id); saveToStorage(); }
});
document.getElementById('modal-clear-btn').addEventListener('click',()=>{
  if(!EDIT||!selId) return;
  delete asgn[selId];
  ib.textContent='Cleared '+selId+'.';
  closeModal(); saveToStorage();
});
document.getElementById('m-name').addEventListener('keydown',e=>{ if(e.key==='Enter') document.getElementById('modal-save').click(); });
document.getElementById('modal-bg').addEventListener('click',e=>{ if(e.target===document.getElementById('modal-bg')) closeModal(); });

// ── Toolbar actions ──────────────────────────────────────────────────────────
document.getElementById('ca').addEventListener('click',()=>{
  if(!EDIT) return;
  if(!confirm('Clear all assignments?')) return;
  asgn={}; selId=null; sl.textContent='--';
  applyAssignments();                      // paint + stats + facets + search, all at once
  ib.textContent='All assignments cleared.'; saveToStorage();
});

// What goes public. planData() minus every private field -- the artifact itself is clean,
// which is the only thing that actually protects a phone number at a public URL.
function publicPlanData(){
  const d=planData(), stripped={mobile:0,psContact:0,psPhone:0};
  Object.keys(d.slots).forEach(id=>{
    PRIVATE_KEYS.forEach(k=>{ if(d.slots[id][k]){ stripped[k]++; delete d.slots[id][k]; } });
  });
  d.public=true; d.publishedAt=new Date().toISOString();
  delete d.savedAt;
  return {data:d,stripped:stripped};
}
function download(name,text,mime){
  const b=new Blob([text],{type:mime});
  const a=document.createElement('a'); a.href=URL.createObjectURL(b); a.download=name; a.click();
  setTimeout(()=>URL.revokeObjectURL(a.href),1000);
}
document.getElementById('pub').addEventListener('click',()=>{
  if(!EDIT) return;
  const {data,stripped}=publicPlanData();
  const json=JSON.stringify(data);
  download('barber_plan.js','window.BARBER_PLAN = '+json+';\n','application/javascript');
  download('barber_plan.json',JSON.stringify(data,null,2),'application/json');
  const n=stripped.mobile+stripped.psContact+stripped.psPhone;
  ib.textContent='Published '+Object.keys(data.slots).length+' slots. Removed '+
    stripped.mobile+' mobile number'+(stripped.mobile===1?'':'s')+', '+
    stripped.psContact+' prep-shop contact'+(stripped.psContact===1?'':'s')+' and '+
    stripped.psPhone+' prep-shop phone'+(stripped.psPhone===1?'':'s')+
    (n?'':' (nothing private to remove)')+
    '. Copy barber_plan.js to the repo root and push to publish it.';
});

document.getElementById('ex').addEventListener('click',()=>{
  const data=planData();
  const blob=new Blob([JSON.stringify(data,null,2)],{type:'application/json'});
  const a=document.createElement('a'); a.href=URL.createObjectURL(blob);
  a.download='barber_loadIn_'+new Date().toISOString().slice(0,10)+'.json'; a.click();
});

document.getElementById('im').addEventListener('click',()=>{ if(EDIT) document.getElementById('file-input').click(); });
document.getElementById('file-input').addEventListener('change',e=>{
  if(!EDIT) return;
  const file=e.target.files[0]; if(!file) return;
  const reader=new FileReader();
  reader.onload=evt=>{
    try{
      const data=JSON.parse(evt.target.result);
      if(!data.slots&&!data.assignments) throw new Error('Invalid');
      if(data.slots) applyPlanSlots(data.slots);
      else{
        const sw=data.slotWidths;
        applyLegacyPlan(sw?['T1','T2','T3','T4'].map(k=>sw[k]):null,data.slotW,data.assignments);
      }
      build(); applyAssignments(); saveToStorage();
      ib.textContent='Imported '+Object.keys(asgn).length+' assignments from "'+file.name+'".';
      noteOrphans(true);
    }catch(err){ ib.textContent='Import failed - please use a valid plan .json file.'; }
    e.target.value='';
  };
  reader.readAsText(file);
});

// ── Print ────────────────────────────────────────────────────────────────────
// One column spec per mode drives both the header and the rows, so the public tables
// cannot carry a column the public plan is not allowed to have.
function tableCols(byTeam){
  const slotFirst=[['Slot','slot'],['Name','name']], teamFirst=[['Name','name'],['Slot','slot']];
  const head=byTeam?teamFirst:slotFirst;
  const race=[['Class','carClass'],['Group','group']];
  if(EDIT) return head.concat(race,[['Mobile','mobile'],['Load-in','loadTime'],['Prep Shop?','psYN'],
    ['PS Name','psName'],['PS Contact','psContact'],['PS Phone','psPhone']]);
  return head.concat(race,[['Load-in','loadTime'],['Prep Shop','psName'],['Size','size']]);
}
function rowHtml(r,byTeam){
  return tableCols(byTeam).map(c=>'<td>'+esc(c[1]==='psYN'?(r.hasPs?'Yes':'No'):(r[c[1]]||''))+'</td>').join('');
}
function esc(s){ return (s||'').replace(/&/g,'&amp;').replace(/</g,'&lt;').replace(/>/g,'&gt;'); }

function clearPrintSections(){
  document.querySelectorAll('.print-section,.print-map-section').forEach(el=>el.classList.remove('active'));
}

function buildPrintTable(byTeam){
  clearPrintSections();
  const date=new Date().toLocaleString();
  const PR=String.fromCharCode(8242);
  let entries=Object.entries(asgn).map(([slot,a])=>{
    const g=document.getElementById('s-'+slot)||document.getElementById('x-'+slot);
    return {slot,name:a.name||'',carClass:a.carClass||'',group:a.group||'',
      mobile:a.mobile||'',loadTime:a.loadTime||'',hasPs:!!a.hasPs,
      psName:a.psName||'',psContact:a.psContact||'',psPhone:a.psPhone||'',
      size:Math.round(slotFt(slot))+PR+' x '+((g&&g.dataset.depth)||'?')+PR};
  });
  // Chips filter the sheet, typed text does not: a chip is a deliberate, NAMED selection
  // that a printed page can state about itself, whereas the search box is exploratory and
  // often mid-typing.
  let rows=entries;
  if(hasFilter()){
    rows=entries.filter(r=>(!fCls||keysOf(r.carClass,classKey).indexOf(fCls)>-1)
                        &&(!fGrp||keysOf(r.group,groupKey).indexOf(fGrp)>-1));
    if(!rows.length){
      ib.textContent='Nothing to print - no entrant matches '+filterLabel()+'.';
      clearPrintSections(); return;                 // never emit a blank sheet
    }
  }
  entries=rows;
  const SLOT_H='Barber Motorsports Park - Load-in Plan by Slot';
  const TEAM_H='Barber Motorsports Park - Load-in Plan by Team';
  document.getElementById('print-slot-h').textContent=SLOT_H+(hasFilter()?' - '+filterLabel():'');
  document.getElementById('print-team-h').textContent=TEAM_H+(hasFilter()?' - '+filterLabel():'');
  // The filter leads: it is what a marshal reads first.
  const stamp=(hasFilter()?filterLabel()+' - '+entries.length+' rig'+(entries.length===1?'':'s')+'  |  ':'')+
              'Printed: '+date+(hasFilter()?'':'  |  '+entries.length+' rigs assigned');
  const head=byTeam?'#tbl-team':'#tbl-slot';
  document.querySelector(head+' thead').innerHTML=
    '<tr>'+tableCols(byTeam).map(c=>'<th>'+esc(c[0])+'</th>').join('')+'</tr>';
  if(byTeam){
    entries.sort((a,b)=>a.name.localeCompare(b.name));
    document.getElementById('print-team-sub').textContent=stamp;
    document.querySelector('#tbl-team tbody').innerHTML=entries.map(r=>'<tr>'+rowHtml(r,true)+'</tr>').join('');
    document.getElementById('print-by-team').classList.add('active');
  }else{
    entries.sort((a,b)=>slotOrder(a.slot).localeCompare(slotOrder(b.slot)));  // 1LN-2 before 1LN-10
    document.getElementById('print-slot-sub').textContent=stamp;
    document.querySelector('#tbl-slot tbody').innerHTML=entries.map(r=>'<tr>'+rowHtml(r,false)+'</tr>').join('');
    document.getElementById('print-by-slot').classList.add('active');
  }
  window.print(); clearPrintSections();
}

// ── Print map ────────────────────────────────────────────────────────────────
// One overview page, then a landscape page per tier/side band (1LN+1LS, 1RN, …).
// Each band page is a true crop of the live map, blown up until every slot box is
// big enough to carry the rig's whole contact block. Bands too long for one page
// split; a cut is pushed right past any slot it would bisect.
const PG_W_IN=10.2, PG_H_IN=6.9;   // usable landscape area, minus the page heading
const MAX_STRIPS=4;                // most segments a band may be stacked into on its sheet
const LINE_MAX_IN=0.104, LINE_MIN_IN=0.072;  // slot-text line size, ~7.5pt down to ~5.2pt
const FIT_CH=13;                   // chars a line should hold -- a phone number, plus a little
const STRIP_GAP_IN=0.12;           // space between two strips stacked on one sheet
// Each stacked strip steps right of the one above, so west-to-east reads at a glance.
// STAGGER_IN is reserved up front; a sheet with width to spare spends it up to the cap.
const STAGGER_IN=0.4, STAGGER_MAX_IN=0.8;
const PRIME=String.fromCharCode(8242), ELL=String.fromCharCode(8230);

// Screen palette -> paper. Ink-light fills, dark text, depth ramp preserved.
const P_FILL={'#1a2810':'#ffffff','#2e2e26':'#f4f4ef','#3a3a36':'#e4e4e0','#1e1e18':'#eeeeea',
  '#484844':'#dcdcd6','#333':'#e2e2e2','#444':'#ebebeb','#EEEDFE':'#e9e8ff','#5BBCCC':'#c6e9ef',
  '#243218':'#eef5e4','#9AA0A6':'#e2e4e6','#FFC400':'#FFC400','#37D0C0':'#8fe4da','#2E86DE':'#7fb4e8',
  '#2b3a1c':'#f2f7ea'};   // FREE_FILL -- unused pavement reads as empty on paper, not reserved
const P_STK={'#1a2810':'#ffffff','#2a2a28':'#b4b4b0','#262624':'#c4c4c0','#52524e':'#c4c4c0',
  '#666':'#aaaaaa','#555':'#aaaaaa','#4a6a2a':'#9ab87a','#2b2f33':'#9aa0a6','#0a3a36':'#2a8a80',
  '#0a2f5a':'#2a5a8a','#4a3400':'#8a6a00','#7a9a4a':'#7a9a4a'};
const P_TXT={'#888780':'#555555','#9FE1CB':'#1f6a55','#9F9FE1':'#4a3a8a','#aaa':'#555555',
  '#666':'#444444','#2a2a28':'#888888','#B9D98A':'#4a6a2a'};
const P_DEPTH={80:['#bcd9f2','#2c6ea8'],72:['#cee7f8','#3b86bd'],54:['#dcf1f8','#4f9fbd'],
  45:['#eaf7fb','#6cb0c6'],39:['#f4fbfd','#8ac3d1']};
function printDepth(ft){ft=+ft;return P_DEPTH[ft>=80?80:ft>=72?72:ft>=54?54:ft>=45?45:39];}

// Corner list -> box, read off the points attribute so it works on a detached SVG
// (getBBox() needs layout, and the print pages are display:none until printing).
function polyBox(poly){
  const pts=(poly.getAttribute('points')||'').trim().split(/\s+/).map(p=>p.split(',').map(Number));
  const xs=pts.map(p=>p[0]), ys=pts.map(p=>p[1]);
  const x=Math.min.apply(null,xs), y=Math.min.apply(null,ys);
  return {x:x,y:y,w:Math.max.apply(null,xs)-x,h:Math.max.apply(null,ys)-y};
}

// A paper-colored copy of the whole map, with the screen-only slot labels and
// width steppers stripped -- each page clones this and adds its own labels.
function printMaster(){
  const svg=document.getElementById('map').cloneNode(true);
  svg.removeAttribute('id'); svg.removeAttribute('style');
  svg.querySelectorAll('rect,polygon,circle,line').forEach(el=>{
    const p=el.parentElement;
    if(p&&p.id&&(p.id.indexOf('s-')===0||p.id.indexOf('x-')===0)) return;
    const f=el.getAttribute('fill');   if(P_FILL[f]) el.setAttribute('fill',P_FILL[f]);
    const k=el.getAttribute('stroke'); if(P_STK[k]) el.setAttribute('stroke',P_STK[k]);
    if(el.getAttribute('stroke')==='#4a4f54') el.setAttribute('stroke','#9aa0a6');
  });
  svg.querySelectorAll('text').forEach(t=>{
    const p=t.parentElement;
    if(p&&p.id&&p.id.indexOf('s-')===0) return;
    const f=t.getAttribute('fill'); if(P_TXT[f]) t.setAttribute('fill',P_TXT[f]);
  });
  svg.querySelectorAll('.hit,.dim,.sel').forEach(el=>el.classList.remove('hit','dim','sel'));
  svg.querySelectorAll('g[id^="x-"]').forEach(g=>{
    g.removeAttribute('style');
    g.querySelectorAll('text,circle,title').forEach(el=>el.remove());
    const poly=g.querySelector('polygon'); if(!poly) return;
    poly.setAttribute('fill','#f6b3a6'); poly.setAttribute('stroke','#8C1A06');
    poly.setAttribute('stroke-width',1.1);
  });
  svg.querySelectorAll('g[id^="s-"]').forEach(g=>{
    g.removeAttribute('style');
    g.querySelectorAll('text,circle,title').forEach(el=>el.remove());
    const a=asgn[g.id.slice(2)], poly=g.querySelector('polygon'); if(!poly) return;
    if(isVendor(a))          { poly.setAttribute('fill','#d8efc9'); poly.setAttribute('stroke','#639922'); }
    else if(a&&a.hasPs)      { poly.setAttribute('fill','#ece2ff'); poly.setAttribute('stroke','#6A3FC0'); }
    else if(a)               { poly.setAttribute('fill','#fdf0d8'); poly.setAttribute('stroke','#BA7517'); }
    else { const pc=printDepth(g.dataset.depth); poly.setAttribute('fill',pc[0]); poly.setAttribute('stroke',pc[1]); }
    poly.setAttribute('stroke-width',0.7);
  });
  return svg;
}

// Everything that belongs in the box: id, rig, contacts, prep shop, dimensions.
function slotLines(id,compact){
  const a=asgn[id], g=document.getElementById('s-'+id)||document.getElementById('x-'+id);
  const dims=Math.round(slotFt(id))+PRIME+' x '+((g&&g.dataset.depth)||'?')+PRIME;
  const ghost=ghosts[id];
  if(compact){
    const out=[{t:id,b:true}];
    if(ghost) out.push({t:ghost==='blocked'?'RETIRED':'NO ROOM',b:true});
    if(isVendor(a)) out.push({t:vendorLabel(a)});
    else if(a&&a.name) out.push({t:a.name});
    return out;
  }
  const out=[{t:id,b:true}];
  if(ghost) out.push({t:ghost==='blocked'?'RETIRED BAY':'WILL NOT FIT',b:true});
  if(isVendor(a)){
    out.push({t:vendorLabel(a),b:true});
    out.push({t:'(vendor)'});
    if(EDIT&&a.mobile) out.push({t:a.mobile});
  } else if(a){
    if(a.name)     out.push({t:a.name,b:true});
    const cg=[a.carClass,a.group].filter(Boolean).join(' / ');
    if(cg)         out.push({t:cg});
    if(EDIT&&a.mobile) out.push({t:a.mobile});
    if(a.loadTime)     out.push({t:'In: '+a.loadTime});
    if(a.hasPs){
      out.push({t:'Prep: '+(a.psName||'yes')});
      if(EDIT&&a.psContact) out.push({t:a.psContact});
      if(EDIT&&a.psPhone)   out.push({t:a.psPhone});
    }
  }
  out.push({t:dims,dim:true});
  return out;
}

// Break on spaces so a long shop or team name uses two lines instead of an ellipsis.
function wrapText(s,maxCh,maxLines){
  if(s.length<=maxCh) return [s];
  const out=[]; let cur='';
  s.split(' ').forEach(w=>{
    if(!cur) cur=w;
    else if((cur+' '+w).length<=maxCh) cur+=' '+w;
    else { out.push(cur); cur=w; }
  });
  if(cur) out.push(cur);
  const res=out.map(t=>t.length>maxCh?t.slice(0,maxCh-1)+ELL:t);
  if(res.length<=maxLines) return res;
  const keep=res.slice(0,maxLines);
  keep[maxLines-1]=keep[maxLines-1].replace(/.$/,'')+ELL;
  return keep;
}

// Labels go into a layer drawn last, so a stairway or hookup sitting on a slot
// can't cover the rig's details.
function labelSlot(g,fs,compact,layer){
  const poly=g.querySelector('polygon'); if(!poly) return;
  const b=polyBox(poly), maxCh=Math.max(5,Math.floor((b.w-fs*0.5)/(fs*0.55)));
  const lines=[];
  slotLines(g.id.slice(2),compact).forEach(ln=>{
    wrapText(ln.t,maxCh,compact?1:2).forEach((t,i)=>lines.push({t:t,b:ln.b&&!i,dim:ln.dim}));
  });
  // Tighten (and if need be shrink) only when a busy rig overfills a shallow slot.
  let lh=fs*1.3;
  if(lines.length*lh>b.h*0.94){ lh=b.h*0.94/lines.length; if(lh<fs*1.12) fs=lh/1.12; }
  const top=b.y+b.h/2-(lines.length-1)*lh/2;
  lines.forEach((ln,i)=>{
    const t=N('text',{x:b.x+b.w/2,y:top+i*lh,'font-size':(ln.dim?fs*0.86:fs).toFixed(2),
      fill:ln.dim?'#5f5f5f':'#151515','text-anchor':'middle','dominant-baseline':'middle',
      'font-weight':ln.b?700:400});
    t.textContent=ln.t; (layer||g).appendChild(t);
  });
}

// Sections grouped by tier + side: 1L = 1LN + 1LS, 1R = 1RN, and so on.
function bandGroups(){
  const by={};
  GEOM.sections.forEach(s=>{ const k=s.pfx.slice(0,2); (by[k]=by[k]||[]).push(s); });
  return Object.keys(by).sort().map(k=>({key:k,tier:k[0],side:k[1],
    secs:by[k].slice().sort((a,b)=>a.pfx.localeCompare(b.pfx))}));
}
function bandBoxes(secs){
  const pfxs=secs.map(s=>s.pfx);
  // Ghost bays belong to their band too, so they get a strip, a label and a place
  // on the printed sheet rather than quietly vanishing at the paper stage.
  const ids=slots.concat(Object.keys(ghosts));
  return ids.filter(id=>pfxs.some(p=>id.indexOf(p)===0)).map(id=>{
    const g=document.getElementById('s-'+id)||document.getElementById('x-'+id);
    const poly=g&&g.querySelector('polygon');
    return poly?{id:id,box:polyBox(poly)}:null;
  }).filter(Boolean);
}
// Split a band into page-width ranges. The two rows on a page rarely share a slot
// boundary, so each range is stretched to fully contain every slot it touches --
// a slot sitting on the seam prints whole on both sheets rather than sliced.
function bandRanges(boxes,x0,x1,n,M){
  const out=[];
  for(let i=0;i<n;i++){
    const a=x0+(x1-x0)*i/n, b=x0+(x1-x0)*(i+1)/n;
    // A slot belongs to the sheet its centre falls on, so every slot lands on
    // exactly one sheet; that sheet then widens just enough to hold it whole.
    const mine=boxes.filter(k=>{const c=k.box.x+k.box.w/2; return c>=a&&(c<b||i===n-1);});
    if(!mine.length) continue;
    // Height is per strip, not per band: where a band has only one row (1RN runs
    // well west of 1RS) that strip stays short instead of paying for reserved zones.
    out.push({x0:i?Math.min.apply(null,mine.map(k=>k.box.x))-1:x0,
              x1:i===n-1?x1:Math.max.apply(null,mine.map(k=>k.box.x+k.box.w))+1,
              y0:Math.min.apply(null,mine.map(k=>k.box.y))-M,
              y1:Math.max.apply(null,mine.map(k=>k.box.y+k.box.h))+M,
              ids:mine.map(k=>k.id)});
  }
  // Close the dead space between strips by meeting in the middle. Without this a
  // feature parked in a gap with no slots either side -- the emergency-vehicle box sits
  // between 1RN-8 and 1RN-12 -- falls off both strips and prints nowhere.
  for(let i=1;i<out.length;i++){
    const mid=(out[i-1].x1+out[i].x0)/2;
    out[i-1].x1=mid; out[i].x0=mid;
  }
  return out;
}

// A whole tier/side band goes on ONE sheet -- never split across pages, so a
// sector is always read in one piece. The only choice left is how many segments
// to cut it into and stack down that sheet: cutting trades page height for width,
// so try each and keep whichever leaves the widest slot boxes.
function bandPlan(boxes,x0,x1,M){
  const ws=boxes.map(b=>b.box.w).sort((p,q)=>p-q), slotW=ws[Math.floor(ws.length/2)];
  let best=null, lastCount=0;
  for(let n=1;n<=MAX_STRIPS;n++){
    const ranges=bandRanges(boxes,x0,x1,n,M);
    if(!ranges.length||ranges.length===lastCount) continue;   // no finer split available
    lastCount=ranges.length;
    const k=ranges.length;
    const wide=Math.max.apply(null,ranges.map(r=>r.x1-r.x0));
    const tall=ranges.reduce((t,r)=>t+(r.y1-r.y0),0);
    const usable=PG_W_IN-STAGGER_IN*(k-1);   // room set aside for the staircase
    const scale=Math.min(usable/wide,(PG_H_IN-(k-1)*STRIP_GAP_IN)/tall);
    const cand={ranges:ranges,scale:scale,slotIn:slotW*scale};
    if(!best||cand.slotIn>best.slotIn) best=cand;
  }
  return best;
}

const MAP_LEGEND=[['#bcd9f2','#2c6ea8','Available (shade = depth)'],
  ['#fdf0d8','#BA7517','Assigned'],['#ece2ff','#6A3FC0','Assigned + prep shop'],
  ['#d8efc9','#639922','Vendors'],['#f6b3a6','#8C1A06','Will not fit'],
  ['#ebebeb','#aaaaaa','Reserved'],
  ['#e9e8ff','#7F77DD','Grid / Impound'],['#c6e9ef','#2a8a9a','Fuel']];
function legendHtml(){
  return MAP_LEGEND.map(l=>'<span><i style="background:'+l[0]+';border:1px solid '+l[1]+'"></i>'+l[2]+'</span>').join('');
}

// A crop can slice a zone away from its own label. Drop the ones barely clipped,
// and slide the surviving labels back over the part that is actually on the sheet.
function cropZones(svg,vb){
  const x0=vb[0], x1=vb[0]+vb[2], y0=vb[1], y1=vb[1]+vb[3];
  svg.querySelectorAll('g.zone').forEach(g=>{
    const p=g.querySelector('polygon'); if(!p) return;
    const b=polyBox(p);
    const vx0=Math.max(b.x,x0), vx1=Math.min(b.x+b.w,x1);
    const vy0=Math.max(b.y,y0), vy1=Math.min(b.y+b.h,y1);
    // Keep it if enough shows to carry its name; a true sliver just leaves.
    if(vx1-vx0<10||vy1-vy0<10){ g.remove(); return; }
    g.querySelectorAll('text[data-role="zlabel"]').forEach(t=>{
      t.setAttribute('x',((vx0+vx1)/2).toFixed(1));
      const dy=+t.getAttribute('y')-(b.y+b.h/2);
      t.setAttribute('y',((vy0+vy1)/2+dy).toFixed(1));
      // Shrink to the sliver that is actually on the sheet, or a name clips to "mpound".
      const fs=+t.getAttribute('font-size')||6.5;
      const need=(t.textContent||'').length*fs*0.55, room=(vx1-vx0)*0.92;
      if(need>room) t.setAttribute('font-size',Math.max(3,fs*room/need).toFixed(2));
    });
  });
}

// One printed sheet: heading, one or more map strips at a shared scale, legend.
function addMapPage(wrap,master,strips,title,sub,scale,lineIn){
  const page=document.createElement('div'); page.className='map-page';
  const h=document.createElement('h2'); h.className='print-title'; h.textContent=title;
  const s=document.createElement('div'); s.className='print-sub'; s.textContent=sub;
  page.appendChild(h); page.appendChild(s);
  // Stacked strips run west to east, so step each one right of the last and centre
  // the staircase as a whole.
  const k=strips.length;
  const widest=Math.max.apply(null,strips.map(st=>st.vb[2]*scale));
  const step=k>1?Math.min(STAGGER_MAX_IN,Math.max(STAGGER_IN,(PG_W_IN-widest)/(k-1))):0;
  const base=Math.max(0,(PG_W_IN-widest-step*(k-1))/2);
  strips.forEach((st,i)=>{
    const svg=master.cloneNode(true);
    svg.setAttribute('viewBox',st.vb.join(' '));
    // Inline, because the app's global `svg { width: 100% }` would otherwise stretch
    // the strip and throw away the scale its labels were sized for.
    svg.style.width=(st.vb[2]*scale).toFixed(2)+'in';
    svg.style.height=(st.vb[3]*scale).toFixed(2)+'in';
    svg.style.marginBottom=STRIP_GAP_IN+'in';
    svg.style.marginLeft=(base+i*step).toFixed(2)+'in';
    svg.style.marginRight='0';
    const want=st.ids?new Set(st.ids):null;
    const layer=N('g',{});
    svg.querySelectorAll('g[id^="s-"],g[id^="x-"]').forEach(g=>{
      if(!want){ labelSlot(g,5,true,layer); return; }
      if(want.has(g.id.slice(2))){ labelSlot(g,lineIn/scale,false,layer); return; }
      // Anything else showing through the crop is a sliver at the seam -- the sheet
      // that owns it prints it whole, so drop it rather than print half a box.
      const p=g.querySelector('polygon'); if(!p) return;
      const bx=polyBox(p);
      if(bx.x+bx.w>st.vb[0]&&bx.x<st.vb[0]+st.vb[2]) g.remove();
    });
    if(want) cropZones(svg,st.vb);
    svg.appendChild(layer);
    page.appendChild(svg);
  });
  const lg=document.createElement('div'); lg.className='map-legend'; lg.innerHTML=legendHtml();
  page.appendChild(lg);
  wrap.appendChild(page);
}

// The table prints stay portrait; only the map run flips the sheet.
function landscape(on){
  let st=document.getElementById('page-orient');
  if(!st){ st=document.createElement('style'); st.id='page-orient'; document.head.appendChild(st); }
  st.textContent=on?'@page { size: landscape; margin: 0.35in; }':'';
}

function buildPrintMap(){
  clearPrintSections();
  const date=new Date().toLocaleString();
  const wrap=document.getElementById('print-map-wrap');
  wrap.innerHTML='';
  const master=printMaster();
  const n=slots.filter(id=>asgn[id]).length;
  const stamp='Printed: '+date+'  |  '+n+' of '+slots.length+' slots assigned';

  addMapPage(wrap,master,[{vb:[0,0,880,620],ids:null}],
    'Barber Motorsports Park - Paddock Map (overview)',stamp,
    Math.min(PG_W_IN/880,PG_H_IN/620),LINE_MAX_IN);

  bandGroups().forEach(grp=>{
    const boxes=bandBoxes(grp.secs); if(!boxes.length) return;
    const M=6;
    const x0=Math.min.apply(null,boxes.map(b=>b.box.x))-M;
    const x1=Math.max.apply(null,boxes.map(b=>b.box.x+b.box.w))+M;
    const rows=grp.secs.map(s=>s.pfx.replace(/-$/,'')).join(' / ');
    const depths=grp.secs.map(s=>s.pfx.replace(/-$/,'')+' '+s.depthFt+PRIME+' deep').join('  |  ');
    // One scale for the whole band, so every strip of it prints at the same size.
    const plan=bandPlan(boxes,x0,x1,M); if(!plan) return;
    // Narrow boxes get smaller type rather than a truncated phone number.
    const lineIn=Math.max(LINE_MIN_IN,Math.min(LINE_MAX_IN,plan.slotIn/(FIT_CH*0.55)));
    const cont=plan.ranges.length>1?'  |  read top strip to bottom, SW to NE':'';
    addMapPage(wrap,master,plan.ranges.map(r=>({vb:[r.x0,r.y0,r.x1-r.x0,r.y1-r.y0],ids:r.ids})),
      'Tier '+grp.tier+' '+(grp.side==='L'?'Left':'Right')+' - '+rows,
      depths+'  |  '+stamp+cont,plan.scale,lineIn);
  });

  wrap.classList.add('active');
  landscape(true); window.print(); landscape(false); clearPrintSections();
}

document.getElementById('pdf-slot').addEventListener('click',()=>buildPrintTable(false));
document.getElementById('pdf-team').addEventListener('click',()=>buildPrintTable(true));
document.getElementById('pdf-map').addEventListener('click',()=>buildPrintMap());

// ── Main build ───────────────────────────────────────────────────────────────
// ── True-scale GPS geometry (v2.0) ───────────────────────────────────────────
const GEOM = {"FT": 0.6282, "sections": [{"pfx": "1LN-", "quad": [[237.1, 420.4], [236.4, 470.5], [354.6, 470.1], [352.5, 420.8]], "side": "L", "offFt": 0, "small": false, "deep": true, "lim": 1.0, "rect": true, "depthFt": 80, "aisleEdge": "bottom", "flush": "NE"}, {"pfx": "1LS-", "quad": [[39.6, 484.7], [30.1, 535.1], [364.1, 535.4], [364.8, 485.3]], "side": "L", "offFt": 0, "small": false, "deep": true, "lim": 1.0, "rect": true, "depthFt": 80, "aisleEdge": "top", "flush": "NE"}, {"pfx": "1RN-", "quad": [[393.6, 420.5], [395.8, 469.9], [829.4, 469.2], [826.0, 420.5]], "side": "R", "offFt": 0, "small": false, "deep": true, "lim": 1.0, "rect": true, "depthFt": 80, "aisleEdge": "bottom", "flush": "SW", "blocks": [[[576.4, 420.5], [636.6, 420.7], [636.6, 469.8], [575.3, 470.4]]]}, {"pfx": "1RS-", "quad": [[662.9, 484.9], [662.6, 535.4], [829.2, 535.5], [829.9, 485.4]], "side": "R", "offFt": 0, "small": false, "deep": true, "lim": 1.0, "rect": true, "depthFt": 80, "aisleEdge": "top", "flush": "SW"}, {"pfx": "2RN-", "quad": [[448.0, 298.3], [446.5, 343.8], [775.0, 343.6], [773.9, 299.3]], "side": "R", "offFt": 0, "small": false, "deep": false, "lim": 1.0, "rect": true, "depthFt": 72, "aisleEdge": "bottom", "flush": "SW", "blocks": [{"poly": [[577.0, 343.8], [583.7, 343.8], [584.0, 297.8], [577.2, 298.0]], "step": true}]}, {"pfx": "2RS-", "quad": [[460.7, 358.7], [461.0, 386.6], [808.8, 385.9], [809.5, 358.8]], "side": "R", "offFt": 0, "small": false, "deep": false, "lim": 1.0, "rect": true, "depthFt": 45, "aisleEdge": "top", "flush": "SW", "blocks": [{"poly": [[576.7, 386.7], [583.4, 387.0], [583.9, 358.8], [577.3, 358.9]], "step": true}]}, {"pfx": "3LN-", "quad": [[183.7, 185.2], [183.9, 228.8], [360.4, 227.6], [358.3, 185.8]], "side": "L", "offFt": 0, "small": false, "deep": false, "lim": 1.0, "rect": true, "depthFt": 72, "aisleEdge": "bottom", "flush": "NE"}, {"pfx": "3LS-", "quad": [[148.5, 244.2], [144.6, 276.5], [357.8, 276.6], [359.2, 244.8]], "side": "L", "offFt": 0, "small": false, "deep": false, "lim": 1.0, "rect": true, "depthFt": 54, "aisleEdge": "top", "flush": "NE"}, {"pfx": "3RN-", "quad": [[391.2, 184.8], [391.8, 229.3], [737.8, 229.6], [737.5, 185.0]], "side": "R", "offFt": 0, "small": false, "deep": false, "lim": 1.0, "rect": true, "depthFt": 72, "aisleEdge": "bottom", "flush": "SW", "blocks": [{"poly": [[577.2, 229.4], [583.9, 229.5], [584.1, 184.9], [577.7, 184.8]], "step": true}]}, {"pfx": "3RS-", "quad": [[445.3, 243.9], [444.9, 277.3], [776.5, 277.2], [776.5, 244.4]], "side": "R", "offFt": 0, "small": false, "deep": false, "lim": 1.0, "rect": true, "depthFt": 54, "aisleEdge": "top", "flush": "SW", "blocks": [{"poly": [[577.0, 278.2], [583.7, 278.0], [583.9, 244.5], [577.3, 244.3]], "step": true}]}, {"pfx": "4RN-", "quad": [[385.8, 105.0], [736.4, 104.2], [736.4, 130.3], [385.8, 129.7]], "side": "R", "offFt": 0, "small": true, "deep": false, "lim": 1.0, "rect": true, "depthFt": 39, "aisleEdge": "bottom", "flush": "SW", "blocks": [{"poly": [[577.1, 165.3], [728.0, 165.4], [726.5, 103.4], [576.9, 103.8]]}]}, {"pfx": "4RS-", "quad": [[385.8, 135.8], [736.4, 136.9], [736.4, 163.0], [385.8, 160.5]], "side": "R", "offFt": 0, "small": true, "deep": false, "lim": 1.0, "rect": true, "depthFt": 39, "aisleEdge": "top", "flush": "SW", "blocks": [{"poly": [[577.1, 165.3], [728.0, 165.4], [726.5, 103.4], [576.9, 103.8]]}]}, {"pfx": "2LN-", "quad": [[144.7, 294.6], [355.9, 297.3], [355.7, 342.5], [144.5, 339.8]], "side": "L", "offFt": 0, "small": false, "deep": false, "lim": 1.0, "rect": true, "depthFt": 72, "aisleEdge": "bottom", "flush": "NE"}, {"pfx": "2LS-", "quad": [[144.8, 357.7], [356.0, 357.7], [355.9, 386.0], [144.7, 386.0]], "side": "L", "offFt": 0, "small": false, "deep": false, "lim": 1.0, "rect": true, "depthFt": 45, "aisleEdge": "top", "flush": "NE"}], "zones": [{"poly": [[380.6, 484.9], [380.4, 531.9], [456.2, 532.2], [456.6, 484.8]], "fill": "#EEEDFE", "stroke": "#7F77DD", "label": "Impound", "tc": "#3C3489"}, {"poly": [[456.2, 532.2], [456.6, 484.8], [527.0, 484.6], [524.2, 532.1]], "fill": "#444", "stroke": "#666", "label": "Tech", "tc": "#aaa"}, {"poly": [[527.0, 484.6], [524.2, 532.1], [650.7, 531.7], [650.5, 484.9]], "fill": "#444", "stroke": "#666", "label": "Tower", "tc": "#aaa"}, {"poly": [[70.1, 419.9], [69.8, 470.4], [236.4, 470.5], [237.1, 420.4]], "fill": "#EEEDFE", "stroke": "#7F77DD", "label": "Grid", "tc": "#3C3489"}, {"poly": [[576.4, 420.5], [636.6, 420.7], [636.6, 469.8], [575.3, 470.4]], "fill": "#444", "stroke": "#666", "label": "Track Emergency and Maintenance Vehicles Only", "tc": "#aaa"}, {"poly": [[186.1, 102.5], [186.9, 162.1], [359.5, 163.4], [358.9, 102.0]], "fill": "#333", "stroke": "#555", "label": "Covered building", "tc": "#aaa", "sub": "(not available)"}, {"poly": [[393.9, 358.8], [394.5, 385.7], [461.1, 386.0], [460.5, 358.8]], "fill": "#5BBCCC", "stroke": "#2a8a9a", "label": "Fuel", "tc": "#0a4a55"}, {"poly": [[390.7, 321.0], [447.8, 321.2], [447.9, 291.8], [390.9, 291.5]], "fill": "#444", "stroke": "#666", "label": "Restroom", "tc": "#aaa"}, {"poly": [[399.5, 243.8], [397.7, 276.5], [445.2, 276.9], [444.3, 244.2]], "fill": "#444", "stroke": "#666", "label": "Restroom", "tc": "#aaa"}, {"poly": [[95.4, 351.3], [104.9, 342.4], [118.2, 337.4], [123.1, 337.5], [124.9, 353.7], [125.3, 370.8], [125.9, 385.9], [353.7, 386.0], [354.6, 363.2], [356.6, 359.9], [359.4, 359.0], [362.6, 360.1], [368.9, 359.5], [367.5, 316.3], [360.4, 316.3], [357.7, 314.7], [357.6, 312.0], [357.3, 299.8], [355.4, 297.3], [145.2, 294.6], [145.2, 301.6], [144.3, 316.8], [143.4, 318.5], [142.4, 319.6], [137.8, 319.4], [128.5, 316.5], [124.8, 313.9], [119.1, 307.5], [117.2, 302.4], [115.5, 296.8], [115.5, 294.2], [114.6, 294.2]], "fill": "#243218", "stroke": "#4a6a2a", "label": "Bonus grid", "tc": "#aaa", "sub": "(skid pad - reclaim)"}, {"poly": [[577.1, 165.3], [728.0, 165.4], [726.5, 103.4], [576.9, 103.8]], "fill": "#444", "stroke": "#666", "label": "Reserved", "tc": "#aaa"}], "roads": [[[4.1, 531.9], [15.3, 490.7], [20.0, 479.2], [27.9, 464.7], [52.7, 420.1], [79.0, 341.8], [93.4, 297.9], [107.7, 257.6], [119.8, 221.2], [136.9, 170.8], [151.3, 121.1], [151.1, 114.7], [176.6, 123.3], [171.0, 137.6], [153.1, 179.1], [137.5, 225.8], [126.5, 258.0], [110.0, 305.3], [94.8, 351.9], [70.0, 420.7], [47.4, 468.4], [39.3, 484.6], [34.2, 496.6], [30.5, 534.7]], [[366.5, 102.8], [364.3, 535.0], [380.4, 531.6], [382.8, 103.6]], [[846.7, 537.8], [849.3, 485.3], [849.0, 466.9], [847.9, 444.8], [827.4, 358.4], [821.8, 340.6], [805.8, 298.5], [789.5, 246.5], [780.8, 218.0], [768.8, 181.9], [755.6, 141.0], [748.6, 123.3], [769.6, 123.1], [774.5, 147.2], [786.7, 182.0], [799.3, 223.1], [808.0, 242.4], [827.1, 301.1], [843.1, 343.6], [847.5, 359.5], [866.9, 445.2], [867.3, 469.8], [867.1, 488.5], [866.2, 549.5]]], "tierLabels": [{"t": "T1", "x": 33.7, "y": 510.1}, {"t": "T2", "x": 111.9, "y": 334.5}, {"t": "T3", "x": 130.7, "y": 260.1}, {"t": "T4", "x": 172.1, "y": 132.5, "sub": "small"}], "pit": {"x": 588.1, "y": 567.0}, "centerDir": [0.00499, -0.99999], "crossRoads": [[[47.6, 467.8], [363.8, 469.7], [364.4, 484.9], [39.4, 484.4]], [[380.9, 470.2], [848.8, 468.2], [849.5, 484.7], [380.8, 485.1]], [[382.0, 342.6], [821.5, 339.9], [826.9, 359.0], [382.1, 358.3]], [[131.2, 244.3], [368.3, 243.6], [367.9, 228.1], [137.4, 227.0]], [[380.8, 244.3], [789.1, 243.6], [783.9, 227.4], [381.0, 227.9]], [[385.8, 129.7], [736.4, 130.3], [736.4, 136.9], [385.8, 135.8]], [[144.5, 339.8], [355.7, 342.5], [356.0, 357.7], [144.8, 357.7]]], "poles": [[755.0, 281.0], [730.1, 280.9], [704.8, 280.8], [679.6, 280.3], [654.6, 280.7], [629.7, 280.5], [605.6, 280.5], [554.7, 280.6], [530.1, 280.7], [505.6, 280.5], [480.1, 280.7], [472.5, 294.3], [497.9, 294.3], [522.6, 294.4], [548.4, 294.5], [573.5, 294.5], [598.3, 294.6], [623.4, 294.6], [648.6, 294.7], [672.9, 294.8], [698.5, 294.8], [723.6, 294.9], [448.2, 294.2], [422.1, 416.7], [447.8, 417.1], [472.6, 416.7]], "pitPower": [[51.5, 553.5], [68.7, 553.7], [85.9, 553.7], [103.1, 553.8], [120.3, 553.8], [137.5, 553.7], [154.7, 553.7], [171.9, 553.7], [189.1, 553.6], [206.3, 553.3], [223.5, 553.6], [240.6, 554.0], [257.8, 553.8], [275.0, 553.8], [292.2, 553.6], [309.4, 553.6], [326.6, 553.7], [343.8, 553.7], [361.0, 553.6], [378.2, 553.5], [395.4, 553.8], [412.6, 553.9], [429.8, 553.8], [447.0, 553.9], [464.2, 553.9], [481.4, 553.9], [498.6, 554.0], [515.8, 553.9], [533.0, 553.7], [550.2, 553.8], [567.4, 553.6], [584.6, 553.9], [601.8, 553.8], [618.9, 553.7], [636.1, 553.8], [653.3, 553.9], [670.5, 553.9], [687.7, 553.9], [704.9, 553.8], [722.1, 553.6], [739.3, 553.9], [756.5, 553.8]], "water": [[638.7, 491.4], [471.4, 493.3], [433.0, 280.0, 1], [391.9, 164.0, 1], [193.6, 164.2, 1, "covered area – N/A"]], "stairs": [{"poly": [[576.7, 386.7], [583.4, 387.0], [583.9, 358.8], [577.3, 358.9]], "label": "Stairs"}, {"poly": [[576.8, 420.5], [576.3, 432.9], [582.8, 433.0], [582.6, 420.7]], "label": "Stairs"}, {"poly": [[577.0, 343.8], [583.7, 343.8], [584.0, 297.8], [577.2, 298.0]], "label": "Stairs"}, {"poly": [[577.0, 278.2], [583.7, 278.0], [583.9, 244.5], [577.3, 244.3]], "label": "Stairs"}, {"poly": [[577.2, 229.4], [583.9, 229.5], [584.1, 184.9], [577.7, 184.8]], "label": "Stairs"}, {"poly": [[578.1, 164.5], [584.3, 164.6], [581.6, 154.3], [576.9, 154.4]], "label": "Stairs"}]};
function centroid(poly){let x=0,y=0;poly.forEach(p=>{x+=p[0];y+=p[1];});return [x/poly.length,y/poly.length];}
// Greedy wrap on the same 0.55em width estimate cropZones() shrinks by, so a label wrapped
// here and clipped there agree about what fits. A single word wider than the room keeps its
// own line -- nothing is dropped, it just overhangs, which is still readable.
function wrapLabel(s,fs,room){
  const out=[]; let cur='';
  String(s).split(' ').forEach(w=>{
    const t=cur?cur+' '+w:w;
    if(cur&&t.length*fs*0.55>room){out.push(cur);cur=w;} else cur=t;
  });
  if(cur) out.push(cur);
  return out;
}
function orderQuad(pts){
  const c=centroid(pts);
  const ang=[...pts].sort((a,b)=>Math.atan2(a[1]-c[1],a[0]-c[0])-Math.atan2(b[1]-c[1],b[0]-c[0]));
  let edges=[]; for(let k=0;k<4;k++) edges.push([ang[k],ang[(k+1)%4]]);
  let horiz=edges.filter(e=>Math.abs(e[0][0]-e[1][0])>Math.abs(e[0][1]-e[1][1]));
  if(horiz.length!==2) horiz=edges.slice().sort((a,b)=>Math.abs(b[0][0]-b[1][0])-Math.abs(a[0][0]-a[1][0])).slice(0,2);
  horiz.sort((a,b)=>((a[0][1]+a[1][1])/2)-((b[0][1]+b[1][1])/2));
  const ends=e=>[...e].sort((p,q)=>p[0]-q[0]);
  const t=ends(horiz[0]), b=ends(horiz[1]);
  return {tA:t[0],tB:t[1],bA:b[0],bB:b[1]};
}
function fillQuad(pfx,quad,side,slotWpx,offPx,small,deep,lim,depthFt){
  const {tA,tB,bA,bB}=orderQuad(quad);
  const Lpx=Math.hypot(tB[0]-tA[0],tB[1]-tA[1]); if(Lpx<=0) return;
  const dt=slotWpx/Lpx, dgap=GAP/Lpx, offT=offPx/Lpx;
  const lerp=(A,B,t)=>[A[0]+(B[0]-A[0])*t,A[1]+(B[1]-A[1])*t];
  const list=[];
  if(side==='L'){ let t1=1-offT,n=1; while(t1-dt>=(1-lim)-1e-9){ const t0=t1-dt; list.push([pfx+n,t0,t1]); n++; t1=t0-dgap; } }
  else { let t0=offT,n=1; while(t0+dt<=lim+1e-9){ const t1=t0+dt; list.push([pfx+n,t0,t1]); n++; t0=t1+dgap; } }
  list.forEach(a=>{ const t0=a[1],t1=a[2]; mkSlot(a[0],[lerp(tA,tB,t0),lerp(tA,tB,t1),lerp(bA,bB,t1),lerp(bA,bB,t0)],depthFt); });
}
// Bounding box of a point list, used to test a slot against a keep-out.
function ptsBox(pts){
  const xs=pts.map(p=>p[0]), ys=pts.map(p=>p[1]);
  const x=Math.min.apply(null,xs), y=Math.min.apply(null,ys);
  return {x:x,y:y,w:Math.max.apply(null,xs)-x,h:Math.max.apply(null,ys)-y};
}
// Do two boxes overlap, and by how much? Both keep-out tests below start here.
function boxOverlap(s,k){
  const ox=Math.min(s.x+s.w,k.x+k.w)-Math.max(s.x,k.x);
  const oy=Math.min(s.y+s.h,k.y+k.h)-Math.max(s.y,k.y);
  return ox>0&&oy>0?{ox:ox,oy:oy}:null;
}
// True once a keep-out covers enough of the slot that the bay is unusable. Below the
// threshold a block that only clips a corner leaves the slot alone.
//
// `step` blocks are exempt: they are never parked over, so they never need retiring.
function blockedSlot(corners,blocks){
  if(!blocks||!blocks.length) return false;
  const s=ptsBox(corners), area=s.w*s.h;
  if(area<=0) return false;
  return blocks.some(b=>{
    if(b.step) return false;
    const o=boxOverlap(s,ptsBox(b.poly||b));
    return !!o&&(o.ox*o.oy)/area>=BLOCK_MIN;
  });
}
// A `step` keep-out is walked AROUND rather than parked over. Where a plain block retires the
// bay that lands on it -- right for the 96ft emergency-vehicle box, where the pavement really is
// gone -- a 10ft walkway that costs a whole 33ft bay is throwing away 23ft of usable paddock.
// So the walk pushes the bay to the far side of the strip instead, keeping its ID, and the
// row pays the strip's width rather than a bay's.
//
// Returns {from, to} -- the strip's near and far edge along the walk -- or null when the
// candidate is clear. `to` is where the bay restarts; `from` is where the pavement stops
// being usable, which is what the free-space measure needs. Any overlap at all counts: a rig
// may not lap onto a walkway even slightly, which is also why this needs no threshold of its
// own. No GAP is added on the far side -- the walkway IS the separation.
function stepPast(corners,blocks,flushP,wm,pos){
  if(!blocks||!blocks.length) return null;
  const s=ptsBox(corners);
  for(let i=0;i<blocks.length;i++){
    const b=blocks[i];
    if(!b.step||!boxOverlap(s,ptsBox(b.poly))) continue;
    let from=Infinity,to=-Infinity;
    b.poly.forEach(p=>{
      const t=(p[0]-flushP[0])*wm[0]+(p[1]-flushP[1])*wm[1];
      if(t<from) from=t;
      if(t>to) to=t;
    });
    if(to>pos) return {from:from,to:to};
  }
  return null;
}

// Record — and in the planner, draw — a run of pavement with no bay on it. There are two
// kinds and the difference is the whole question when you are trying to squeeze a rig in:
// space that runs out at a walkway, and space that runs to the end of the band. Both are
// measured from the last bay's far edge, less one GAP, because that is what a new bay could
// actually occupy.
function noteFree(info,fromPx,toPx,endsAt,flushP,wm,d,depthPx){
  const a=fromPx+GAP, b=toPx;
  const ft=+((b-a)/FT).toFixed(1);
  if(ft<FREE_MIN_FT) return;
  info.free.push({after:info.slots[info.slots.length-1]||null,endsAt:endsAt,ft:ft,
                  fits:ft>=W_MIN});
  if(!EDIT) return;
  const P=t=>[flushP[0]+wm[0]*t, flushP[1]+wm[1]*t];
  const A=P(a), B=P(b);
  mkFree([A,B,[B[0]+d[0]*depthPx,B[1]+d[1]*depthPx],[A[0]+d[0]*depthPx,A[1]+d[1]*depthPx]],ft,endsAt);
}
function mkFree(corners,ft,endsAt){
  const w=Math.hypot(corners[1][0]-corners[0][0],corners[1][1]-corners[0][1]);
  if(w<=3) return;
  const g=N('g',{'pointer-events':'none'});
  g.appendChild(N('polygon',{points:corners.map(p=>p[0]+','+p[1]).join(' '),
    fill:FREE_FILL,stroke:FREE_STROKE,'stroke-width':0.6,'stroke-dasharray':'2 2'}));
  const cx=(corners[0][0]+corners[1][0]+corners[2][0]+corners[3][0])/4;
  const cy=(corners[0][1]+corners[1][1]+corners[2][1]+corners[3][1])/4;
  const fs=Math.min(5.5,w/3.2);
  const t=N('text',{x:cx,y:cy,'font-size':fs,fill:FREE_TEXT,'text-anchor':'middle',
    'font-weight':700,'dominant-baseline':'middle'});
  t.textContent=ft+String.fromCharCode(8242);
  g.appendChild(t);
  const tip=document.createElementNS('http://www.w3.org/2000/svg','title');
  tip.textContent=ft+String.fromCharCode(8242)+' of unused pavement, running to the '+
    (endsAt==='walkway'?'walkway':'end of the band')+'. '+
    (ft>=W_MIN?'That is wide enough for another bay ('+W_MIN+String.fromCharCode(8242)+
      ' minimum) — widen a bay in this stretch, or narrow one to make the fit.'
     :'Too narrow for a bay (minimum '+W_MIN+String.fromCharCode(8242)+
      '); widen the bays in this stretch to use it.');
  g.appendChild(tip);
  freeQueue.push(g);
}
function fillQuadRect(pfx,quad,defFt,offPx,depthPx,aisleEdge,flush,small,deep,depthFt,blocks){
  const {tA,tB,bA,bB}=orderQuad(quad);
  const aisle = aisleEdge==='bottom' ? [bA,bB] : [tA,tB];
  const outer = aisleEdge==='bottom' ? [tA,tB] : [bA,bB];
  let d=GEOM.centerDir.slice();
  const aM=[(aisle[0][0]+aisle[1][0])/2,(aisle[0][1]+aisle[1][1])/2];
  const oM=[(outer[0][0]+outer[1][0])/2,(outer[0][1]+outer[1][1])/2];
  if(((oM[0]-aM[0])*d[0]+(oM[1]-aM[1])*d[1])<0) d=[-d[0],-d[1]];   // d points from aisle toward OUTER (grass/margin)
  const flushP = flush==='NE' ? aisle[1] : aisle[0];              // anchor slot FRONTS (rig nose) on the drive-aisle edge
  const other  = flush==='NE' ? aisle[0] : aisle[1];
  let wm=[-d[1],d[0]];
  if(((other[0]-flushP[0])*wm[0]+(other[1]-flushP[1])*wm[1])<0) wm=[-wm[0],-wm[1]];
  const availW=(other[0]-flushP[0])*wm[0]+(other[1]-flushP[1])*wm[1];
  // How far past the end of the row the plan still has an opinion -- an assignment or a
  // width override -- so the walk knows when to stop looking for overflow to draw. A
  // width override alone is enough: that is how an emptied-out bay stays recoverable.
  let lastTaken=0;
  Object.keys(asgn).concat(Object.keys(slotW)).forEach(id=>{
    if(id.indexOf(pfx)!==0) return;
    const k=+id.slice(pfx.length);
    if(isFinite(k)&&k>lastTaken) lastTaken=k;
  });

  const info={prefix:pfx,depthFt:depthFt,defaultWidthFt:defFt,
    maxWidthFt:+(availW/FT).toFixed(1),usableWidthPx:+availW.toFixed(1),
    slots:[],blocked:[],outOfBounds:[],tailFrom:null,free:[]};
  bandInfo[pfx.replace(/-$/,'')]=info;
  let endPx=offPx;

  let pos=offPx,n=1,room=true,newSeg=false,lastEnd=offPx;
  while(true){
    const id=pfx+n;
    const wft=slotW[id]||defFt;                 // per-slot override, else tier/small default
    const wpx=Math.round(wft*FT);
    if(pos+wpx>availW+1e-6) room=false;         // out of pavement (stable IDs; tail grows/shrinks)
    // Past the end we keep walking only to place stranded assignments, and only a
    // little way -- an absurd ID in a hand-written file shouldn't run off the map.
    if(!room&&(n>lastTaken||n>GH_MAX+lastTaken)) break;
    const O=[flushP[0]+wm[0]*pos, flushP[1]+wm[1]*pos];
    const O2=[O[0]+wm[0]*wpx, O[1]+wm[1]*wpx];
    const corners=[O,O2,[O2[0]+d[0]*depthPx,O2[1]+d[1]*depthPx],[O[0]+d[0]*depthPx,O[1]+d[1]*depthPx]];
    // A `step` keep-out moves the bay rather than killing it: retry the same ID from the far
    // side of the strip. pos strictly increases, so this cannot spin. Everything downstream
    // shifts by the strip's width -- much cheaper than the bay a retire would cost.
    if(room){
      const jump=stepPast(corners,blocks,flushP,wm,pos);
      // A step splits the row into independently packed segments: the strip is a fixed
      // anchor, so slack freed on one side of it can never reach the other. Remember where
      // the last segment starts -- it is the only one whose bays can pull a stranded
      // assignment back onto the pavement, and the messaging has to be able to say so.
      if(jump&&jump.to>pos){
        noteFree(info,lastEnd,jump.from,'walkway',flushP,wm,d,depthPx);
        pos=jump.to; newSeg=true; continue;
      }
    }
    // A blocked bay is skipped, not re-packed: the walk keeps its stride so every
    // slot past the keep-out holds the ID and position it already had. Either way,
    // a bay that can't exist but has someone in it is drawn as a ghost.
    const blocked=blockedSlot(corners,blocks);
    if(room) endPx=pos+wpx;                       // last bay still on the pavement
    if(room&&!blocked){
      mkSlot(id,corners,depthFt,wft); info.slots.push(id);
      lastEnd=pos+wpx;
      if(newSeg){ info.tailFrom=id; newSeg=false; }
    }
    else if(room){ info.blocked.push(id); }
    if((room&&blocked)||!room){
      // A width override alone still draws the NO-ROOM case -- that is how an emptied-out bay
      // stays recoverable when the row is narrowed back. Under a keep-out it is not: the
      // pavement is gone for good, so a bay carrying a width but nobody in it simply leaves,
      // rather than printing a red "(empty)" box over a cordon no one can clear.
      if(hasEntrant(id)||(!room&&(asgn[id]||slotW[id]))){
        mkGhost(id,corners,depthFt,wft,room?'blocked':'over');
        info.outOfBounds.push(id);
      }
    }
    n++; pos+=wpx+GAP;
  }
  noteFree(info,lastEnd,availW,'band end',flushP,wm,d,depthPx);
  info.usedWidthFt=+(endPx/FT).toFixed(1);
  info.freeWidthFt=+((availW-endPx)/FT).toFixed(1);
  info.slotCount=info.slots.length;
  // The last bay standing is the one a widening anywhere in the row eats first.
  info.trailingSlot=info.slots.length?info.slots[info.slots.length-1]:null;
  info.atRisk=!!(info.trailingSlot&&info.freeWidthFt<RISK_FT);
}
function build(){
  while(svg.firstChild) svg.removeChild(svg.firstChild);
  slots=[]; ghosts={}; ghostQueue=[]; freeQueue=[]; bandInfo={}; selId=null; sl.textContent='--';
  addR(0,0,880,620,'#1a2810','#1a2810');
  GEOM.roads.forEach(poly=>svg.appendChild(N('polygon',{points:poly.map(p=>p.join(',')).join(' '),fill:'#484844',stroke:'#2a2a28','stroke-width':0.5})));
  (GEOM.crossRoads||[]).forEach(poly=>{svg.appendChild(N('polygon',{points:poly.map(p=>p.join(',')).join(' '),fill:'#484844',stroke:'#2a2a28','stroke-width':0.5}));});
  // Each zone is one group -- polygon plus its label -- so a cropped print page can
  // drop a zone it barely clips, or pull a label back into view, as a unit.
  GEOM.zones.forEach(z=>{
    const g=N('g',{class:'zone'});
    g.appendChild(N('polygon',{points:z.poly.map(p=>p.join(',')).join(' '),fill:z.fill,stroke:z.stroke,'stroke-width':1}));
    if(z.label){
      const c=centroid(z.poly), b=polyBox(g.firstChild);
      // A name longer than its zone is wide wraps onto its own lines rather than running
      // out over the neighbouring bays -- what "Track Emergency and Maintenance Vehicles
      // Only" does in the 96 ft box. Short names still come out as the one line they were.
      const lines=wrapLabel(z.label,6.5,b.w*0.9), LH=7.2;
      const top=c[1]-(z.sub?4:0)-(lines.length-1)*LH/2;
      lines.forEach((ln,i)=>{
        const t=N('text',{x:c[0],y:top+i*LH,'font-size':6.5,fill:z.tc,'text-anchor':'middle','font-weight':600,'dominant-baseline':'middle'});
        t.textContent=ln; t.dataset.role='zlabel'; g.appendChild(t);
      });
      if(z.sub){
        const s=N('text',{x:c[0],y:c[1]+5+(lines.length-1)*LH/2,'font-size':5,fill:z.tc,'text-anchor':'middle','dominant-baseline':'middle'});
        s.textContent=z.sub; s.dataset.role='zlabel'; g.appendChild(s);
      }
    }
    svg.appendChild(g);
  });
  GEOM.sections.forEach(sec=>{
    const tier=parseInt(sec.pfx[0])-1;
    const defFt=sec.small?SMALL_FT:defaultFtForId(sec.pfx);
    if(sec.rect) fillQuadRect(sec.pfx,sec.quad,defFt,sec.offFt*FT,sec.depthFt*FT,sec.aisleEdge,sec.flush,sec.small,sec.deep,sec.depthFt,sec.blocks);
    else fillQuad(sec.pfx,sec.quad,sec.side,Math.round(defFt*FT),sec.offFt*FT,sec.small,sec.deep,sec.lim,sec.depthFt);
  });
  (GEOM.tierLabels||[]).forEach(t=>{ addT(t.t,t.x,t.y-(t.sub?5:0),t.sub?8:10,t.sub?'#9F9FE1':'#9FE1CB','middle',true); if(t.sub) addT(t.sub,t.x,t.y+6,6,'#9F9FE1','middle',false); });
  if(GEOM.pit) addT('Pit Lane',GEOM.pit.x,GEOM.pit.y,7,'#9FE1CB','middle',true);
  addR(40,26,Math.round(100*FT),3,'#9FE1CB','#9FE1CB',0);
  addT('100 ft',40+Math.round(100*FT)+6,29,6,'#9FE1CB','start');
  addT('<-- SW',44,600,7,'#9FE1CB','start',true);
  addT('NE -->',836,600,7,'#9FE1CB','end',true);
  (GEOM.poles||[]).forEach((p,i)=>{
    const g=N('g',{});
    g.appendChild(N('circle',{cx:p[0],cy:p[1],r:2.7,fill:'#FFC400',stroke:'#4a3400','stroke-width':0.8}));
    g.appendChild(N('circle',{cx:p[0],cy:p[1],r:0.9,fill:'#4a3400'}));
    const t=document.createElementNS('http://www.w3.org/2000/svg','title');t.textContent='Power pedestal '+(i+1)+' (20/30/50A)';g.appendChild(t);
    svg.appendChild(g);
  });
  (GEOM.pitPower||[]).forEach((p,i)=>{
    const g=N('g',{});
    g.appendChild(N('rect',{x:p[0]-1.6,y:p[1]-1.6,width:3.2,height:3.2,fill:'#37D0C0',stroke:'#0a3a36','stroke-width':0.6,rx:0.5}));
    const t=document.createElementNS('http://www.w3.org/2000/svg','title');t.textContent='50A power hookup '+(i+1);g.appendChild(t);
    svg.appendChild(g);
  });
  (GEOM.water||[]).forEach((p,i)=>{
    const g=N('g',{});
    g.appendChild(N('rect',{x:p[0]-2.1,y:p[1]-2.1,width:4.2,height:4.2,fill:'#2E86DE',stroke:'#0a2f5a','stroke-width':0.7,transform:'rotate(45 '+p[0]+' '+p[1]+')'}));
    const t=document.createElementNS('http://www.w3.org/2000/svg','title');t.textContent='Water hookup '+(i+1)+(p[2]?' (approx.)':'')+(p[3]?' – '+p[3]:'');g.appendChild(t);
    svg.appendChild(g);
  });
  (GEOM.stairs||[]).forEach(s=>{
    const q=s.poly, g=N('g',{});
    g.appendChild(N('polygon',{points:q.map(p=>p.join(',')).join(' '),fill:'#9AA0A6',stroke:'#2b2f33','stroke-width':0.9}));
    // step treads: subdivide along the box's long axis, treads span the short axis
    const lerp=(a,b,f)=>[a[0]+(b[0]-a[0])*f,a[1]+(b[1]-a[1])*f];
    const d=(a,b)=>Math.hypot(a[0]-b[0],a[1]-b[1]);
    const lenA=d(q[0],q[1])+d(q[2],q[3]), lenB=d(q[1],q[2])+d(q[3],q[0]);
    let e1a,e1b,e2a,e2b;
    if(lenA>=lenB){e1a=q[0];e1b=q[1];e2a=q[3];e2b=q[2];}
    else{e1a=q[1];e1b=q[2];e2a=q[0];e2b=q[3];}
    // Tread count follows length rather than sitting at 6, so the full-depth T2/T3
    // walkways read as a crossing instead of a 70ft staircase. TREAD_PX is the spacing
    // the short flights already had, so those are unchanged.
    const nT=Math.max(6,Math.round(Math.max(lenA,lenB)/2/TREAD_PX));
    for(let k=1;k<nT;k++){const f=k/nT;const L=lerp(e1a,e1b,f),R=lerp(e2a,e2b,f);
      g.appendChild(N('line',{x1:L[0],y1:L[1],x2:R[0],y2:R[1],stroke:'#4a4f54','stroke-width':0.7}));}
    const t=document.createElementNS('http://www.w3.org/2000/svg','title');t.textContent=(s.label||'Stairs');g.appendChild(t);
    svg.appendChild(g);
  });
  // Free-space measures sit above the pavement but below the ghosts, which are the more
  // urgent thing to see.
  freeQueue.forEach(g=>svg.appendChild(g)); freeQueue=[];
  ghostQueue.forEach(g=>svg.appendChild(g)); ghostQueue=[];
  updStats(); buildLegend();
}
function buildLegend(){
  const order=[80,72,54,45,39];const lbl={80:'80'+String.fromCharCode(8242)+' (T1)',72:'72'+String.fromCharCode(8242),54:'54'+String.fromCharCode(8242),45:'45'+String.fromCharCode(8242),39:'39'+String.fromCharCode(8242)+' (T4)'};
  const cnt={};slots.forEach(id=>{const g=document.getElementById('s-'+id);if(!g)return;const t=+g.dataset.depth;const b=t>=80?80:t>=72?72:t>=54?54:t>=45?45:39;cnt[b]=(cnt[b]||0)+1;});
  const el=document.getElementById('depth-legend');if(!el)return;el.innerHTML='';
  order.forEach(d=>{const dc=depthColor(d);const div=document.createElement('div');div.className='li';div.innerHTML='<div class="ld" style="background:'+dc[0]+';border:1px solid '+dc[1]+'"></div>'+lbl[d]+' — '+(cnt[d]||0);el.appendChild(div);});
}

// A geometry change can retire a slot someone was already parked in. The assignment
// is still held in the plan and in exports, but it has nowhere to sit -- say so rather
// than let it vanish quietly.
// ── Mode, info card and search ───────────────────────────────────────────────
function initMode(){
  document.body.className = EDIT ? 'mode-edit' : 'mode-public';
  const link=document.getElementById('mode-link');
  if(EDIT){
    document.title='Barber Paddock Planner (editing)';
    document.getElementById('pg-sub').textContent=
      'Editing your local draft · click a slot to assign · Publish when you are ready';
    link.textContent='View the public map →'; link.href=location.pathname;
  }else{
    document.title='Barber Motorsports Park — Paddock Map';
    document.getElementById('pg-title').textContent='Barber Motorsports Park - Paddock Map';
    document.getElementById('pg-sub').textContent=
      'Search for your name to find your slot · tap a slot for details';
    link.textContent='Open the planner →'; link.href=location.pathname+'?edit';
  }
}

// Runs after the plan is loaded, so it can report what was actually found.
function initModeMessages(){
  const chip=document.getElementById('mode-chip');
  const when=published&&published.publishedAt
    ? new Date(published.publishedAt).toLocaleString([],{month:'short',day:'numeric',hour:'2-digit',minute:'2-digit'})
    : null;
  if(EDIT){
    chip.className='chip edit'; chip.textContent='EDITING — local draft';
    ib.textContent=when?('Published plan on file: '+when+'. Your edits are local until you press Publish.')
                       :'No plan published yet. Press Publish (public) when this draft is ready.';
    return;
  }
  if(published){
    chip.className='chip'; chip.textContent=when?('Published '+when):'Published';
    ib.textContent='Read-only view of the published plan. Search for a name, or tap a slot for details.';
  }else{
    chip.className='chip warn'; chip.textContent='Not published yet';
    ib.textContent='No published plan yet — this map shows the paddock layout and bay sizes only.';
    let draft=null; try{ draft=localStorage.getItem(STORAGE_KEY); }catch(e){}
    if(draft) ib.textContent+=' You have an unpublished draft in this browser — open the planner to see it.';
  }
}

// Where a bay sits, in words a driver can use.
function slotWhere(id){
  const p=prefixOf(id).replace(/-$/,'');
  return 'Tier '+p[0]+' '+(p[1]==='L'?'Left':'Right')+', '+(p[2]==='N'?'north':'south')+' row';
}

// ── Public info card ─────────────────────────────────────────────────────────
function openInfo(id,g){
  if(selId&&selId!==id) redraw(selId);
  clearSel();
  selId=id; sl.textContent=id;
  if(g) g.classList.add('sel');
  const a=asgn[id]||null, PR=String.fromCharCode(8242);
  const rows=[];
  const row=(k,v,cls)=>rows.push({k:k,v:v,cls:cls||''});
  row('Slot', id+' · '+slotWhere(id));
  if(isVendor(a))      row('Vendor', vendorLabel(a));
  else if(a&&a.name)   row('Team', a.name);
  else                 row('Status', a?'Assigned':'Available');
  if(a&&a.carClass)        row('Class', a.carClass);
  if(a&&a.group)           row('Run group', a.group);
  if(a&&a.loadTime)        row('Load-in', a.loadTime);
  if(a&&a.hasPs&&a.psName) row('Prep shop', a.psName);
  const g2=document.getElementById('s-'+id)||document.getElementById('x-'+id);
  row('Size', Math.round(slotFt(id))+PR+' wide × '+((g2&&g2.dataset.depth)||'?')+PR+' deep');
  if(ghosts[id]) row('Note', ghosts[id]==='blocked'
    ? 'This bay is retired — it sits under a keep-out.'
    : 'This rig does not fit at the published widths.','warn');
  const body=document.getElementById('info-body');
  body.innerHTML='';
  rows.forEach(r=>{
    const d=document.createElement('div'); d.className='row';
    const k=document.createElement('div'); k.className='k'; k.textContent=r.k;
    const v=document.createElement('div'); v.className='v '+r.cls; v.textContent=r.v;
    d.appendChild(k); d.appendChild(v); body.appendChild(d);
  });
  document.getElementById('info-title').textContent=(a&&slotName(a))||id;
  document.getElementById('info-bg').classList.add('open');
}
function closeInfo(){
  document.getElementById('info-bg').classList.remove('open');
  clearSel(); selId=null; sl.textContent='--';
}
function clearSel(){ document.querySelectorAll('#map g.sel').forEach(el=>el.classList.remove('sel')); }
document.getElementById('info-link').addEventListener('click',()=>{
  const url=location.origin+location.pathname+'?slot='+encodeURIComponent(selId||'');
  if(navigator.clipboard) navigator.clipboard.writeText(url).then(
    ()=>{ ib.textContent='Link copied: '+url; },()=>{ ib.textContent=url; });
  else ib.textContent=url;
});

// ── Facets: class and run group ──────────────────────────────────────────────
// Values are matched on a normalised KEY but displayed as the plan authored them, so
// "Group 2", "grp 2", "G2" and "2" are one filter whose chip still reads "Group 2".
//
// Two normalisers, deliberately not one: a shared one would have to strip a leading
// "g" to turn "Group 2" into "2", which would quietly destroy "GT-1".
function classKey(v){ return String(v||'').toLowerCase().replace(/[^a-z0-9]+/g,''); }
function groupKey(v){
  const s=String(v||'').toLowerCase().replace(/[‐-―]/g,'-').trim();
  if(!s) return '';
  // Strip a leading run-group word. Two forms: anything followed by a DIGIT needs no word
  // boundary ("group2", "G2"), while the wordy forms do ("Group A"). That combination folds
  // every spelling of run group 2 onto "2" while leaving "gt1" and "green" untouched.
  const t=s.replace(/^(?:(?:run\s*)?(?:groups?|grp|gp|g)\s*[-.:#]?\s*(?=\d)|(?:run\s*)?(?:groups?|grp|gp)\b\s*[-.:#]?\s*)/,'');
  const k=(t||s).replace(/[^a-z0-9]+/g,'');
  return /^\d+$/.test(k) ? String(+k) : k;      // "02" -> "2"
}

// A bay can hold more than one car -- a transporter with a Formula 6 and an FE2, or cars
// running in two different groups -- so class and group may be lists: "F6, FE2".
// Split on comma / semicolon / slash / plus / ampersand / "and", but NEVER on space (that
// would tear "Group 2" apart) or hyphen (that would destroy "GT-1" and "B-Spec").
function splitVals(v){
  return String(v||'').split(/\s*(?:[,;/+&]|\band\b)\s*/).map(x=>x.trim()).filter(Boolean);
}
function keysOf(v,kf){
  const out=[];
  splitVals(v).forEach(part=>{ const k=kf(part); if(k&&out.indexOf(k)<0) out.push(k); });
  return out;
}

let FACETS={cls:[],grp:[]};
let fCls='', fGrp='';        // active filters, normalised keys; '' = off

// Biggest classes first: alphabetical gave a 2-car class the same prominence as a 22-car
// one and pushed SM off the end. Ties fall back to alphabetical so the order is stable.
const cmpClass=(a,b)=>(b.n-a.n)||a.label.localeCompare(b.label,undefined,{numeric:true,sensitivity:'base'});
function cmpGroup(a,b){                       // "Group 10" must sort after "Group 2"
  const na=/^\d+$/.test(a.key), nb=/^\d+$/.test(b.key);
  if(na&&nb) return (+a.key)-(+b.key);
  if(na!==nb) return na?-1:1;
  return a.key.localeCompare(b.key,undefined,{numeric:true});
}

function buildFacets(){
  const acc={cls:new Map(),grp:new Map()};
  Object.keys(asgn).sort((a,b)=>slotOrder(a).localeCompare(slotOrder(b))).forEach(id=>{
    const a=asgn[id]||{};
    [['cls',a.carClass,classKey],['grp',a.group,groupKey]].forEach(pair=>{
      const w=pair[0], raw=pair[1], kf=pair[2], m=acc[w], seen={};
      splitVals(raw).forEach(part=>{
        const k=kf(part);
        if(!k||seen[k]) return;                   // "FF, ff" counts the bay once
        seen[k]=1;
        if(!m.has(k)) m.set(k,{key:k,n:0,forms:new Map()});
        const e=m.get(k); e.n++;
        const lab=part.trim();                    // the PART, not the whole list
        e.forms.set(lab,(e.forms.get(lab)||0)+1); // most-used spelling wins the label
      });
    });
  });
  const finish=(m,cmp)=>[...m.values()].map(e=>{
    let best='',bn=-1;
    e.forms.forEach((n,lab)=>{ if(n>bn){ bn=n; best=lab; } });   // ties: first seen, slot order
    return {key:e.key,label:best,n:e.n};
  }).sort(cmp);
  FACETS.cls=finish(acc.cls,cmpClass);
  FACETS.grp=finish(acc.grp,cmpGroup);
}

function matchFacets(a){
  a=a||{};
  return (!fCls||keysOf(a.carClass,classKey).indexOf(fCls)>-1)
      && (!fGrp||keysOf(a.group,groupKey).indexOf(fGrp)>-1);
}
function hasFilter(){ return !!(fCls||fGrp); }
function facetLabel(w,k){
  const f=(w==='cls'?FACETS.cls:FACETS.grp).filter(x=>x.key===k)[0];
  return f?f.label:(w==='cls'?'class '+k:'Group '+k);
}
function filterLabel(){
  const bits=[];
  if(fCls) bits.push(facetLabel('cls',fCls));
  if(fGrp) bits.push(facetLabel('grp',fGrp));
  return bits.join(' · ');
}

let facetSig='';
function renderFacets(){
  const box=document.getElementById('facets');
  const sig=JSON.stringify(FACETS);
  if(sig!==facetSig){                          // only rebuild when the data changed --
    facetSig=sig;                              // applyAssignments runs 5x inside a width
    [['cls','frow-cls'],['grp','frow-grp']].forEach(pair=>{   // search and a chip must not
      const w=pair[0], row=document.getElementById(pair[1]);  // vanish under a finger
      const list=FACETS[w], host=row.querySelector('.fchips');
      host.innerHTML='';
      list.forEach(f=>{
        const b=document.createElement('button');
        b.type='button'; b.className='fchip';
        b.dataset.facet=w; b.dataset.key=f.key;
        b.appendChild(document.createTextNode(f.label));
        const n=document.createElement('span'); n.className='n'; n.textContent=f.n;
        b.appendChild(n);
        host.appendChild(b);
      });
      // Measured after layout: only offer the expander if the chips actually overflow.
      let more=row.querySelector('.fmore');
      if(!more){
        more=document.createElement('button');
        more.type='button'; more.className='fmore'; more.dataset.more=w;
        row.appendChild(more);            // sibling of .fchips so clipping cannot hide it
      }
      row.hidden = list.length<2;              // a lone chip filters nothing
    });
    box.hidden = !FACETS.cls.length && !FACETS.grp.length;
  }
  box.querySelectorAll('.fchip[data-facet]').forEach(b=>{
    const on = b.dataset.facet==='cls' ? b.dataset.key===fCls : b.dataset.key===fGrp;
    b.classList.toggle('on',on);
    b.setAttribute('aria-pressed',on?'true':'false');
  });
  syncMore();
  document.getElementById('fbar').hidden=!hasFilter();
  document.getElementById('f-note').textContent =
    hasFilter() ? 'Table prints cover '+filterLabel()+' only' : '';
}
// The expander only earns its place when the chips genuinely overflow, which depends on
// the viewport -- so measure rather than guess at a chip count.
const fOpen={cls:false,grp:false};
function syncMore(){
  [['cls','frow-cls'],['grp','frow-grp']].forEach(pair=>{
    const w=pair[0], row=document.getElementById(pair[1]);
    const host=row.querySelector('.fchips'), btn=row.querySelector('.fmore');
    if(!btn) return;
    btn.style.display='none';
    host.classList.remove('open');
    const overflow=host.scrollHeight>host.clientHeight+2;
    if(!overflow&&!fOpen[w]) return;                 // everything already fits
    btn.style.display='';
    if(fOpen[w]){
      host.classList.add('open');
      btn.textContent='fewer \u25B4';
    }else{
      // Out of sight = the chip's BOTTOM falls past the collapsed box. Testing its top
      // instead counts a row that is only clipped by a few pixels as fully visible.
      const chips=[...host.querySelectorAll('.fchip')];
      const top=host.getBoundingClientRect().top;
      const hidden=chips.filter(c=>c.getBoundingClientRect().bottom-top>host.clientHeight+2).length;
      if(!hidden){ btn.style.display='none'; return; }
      btn.textContent='+ '+hidden+' more \u25BE';
    }
  });
}
function refreshFacets(){ RECS.clear(); buildFacets(); renderFacets(); }

function setFacet(w,k){
  if(w==='cls') fCls = (fCls===k?'':k); else fGrp = (fGrp===k?'':k);
  renderFacets(); applySearch();
}
function clearFilters(alsoText){
  fCls=''; fGrp='';
  if(alsoText) document.getElementById('q').value='';
  renderFacets(); runSearch();
}
document.getElementById('facets').addEventListener('click',e=>{
  if(!e.target.closest) return;
  const m=e.target.closest('.fmore[data-more]');                          // one delegated
  if(m){ fOpen[m.dataset.more]=!fOpen[m.dataset.more]; syncMore(); return; }
  const b=e.target.closest('.fchip[data-facet]');                         // listener, ever
  if(b) setFacet(b.dataset.facet,b.dataset.key);
});
// A narrower window changes how many chips fit, so the "+N more" count must follow.
addEventListener('resize',()=>{ clearTimeout(window.__fr); window.__fr=setTimeout(syncMore,120); });
document.getElementById('f-clear').addEventListener('click',()=>clearFilters(true));
document.getElementById('f-copy').addEventListener('click',()=>{
  // Builds the URL as a string -- no History API, which throws on file://
  const p=new URLSearchParams();
  if(fCls) p.set('class',fCls);
  if(fGrp) p.set('group',fGrp);
  const q=document.getElementById('q').value.trim(); if(q) p.set('q',q);
  const url=location.origin+location.pathname+(p.toString()?'?'+p:'');
  if(navigator.clipboard) navigator.clipboard.writeText(url).then(
    ()=>{ ib.textContent='Link copied: '+url; },()=>{ ib.textContent=url; });
  else ib.textContent=url;
});
function initFilters(){
  const c=PARAMS.get('class'), g=PARAMS.get('group');
  if(c) fCls=classKey(c);
  if(g) fGrp=groupKey(g);
  renderFacets();
}

// ── Search ───────────────────────────────────────────────────────────────────
const RECS=new Map();
function reEsc(t){ return t.replace(/[.*+?^${}()|[\]\\]/g,'\\$&'); }
// Whole-word (or word-start) test. This is what excludes "Jeff"/"Stafford" from a
// search for the class FF -- a hit paints a gold ring and dims the rest of the map,
// so demoting a wrong match is not enough; it has to be excluded.
function wordHit(hay,t){ return hay?new RegExp('(^|[^a-z0-9])'+reEsc(t)).test(hay):false; }

function searchRec(id){
  if(RECS.has(id)) return RECS.get(id);
  const a=asgn[id]||{};
  const r={
    idl:id.toLowerCase(), idc:id.replace('-','').toLowerCase(),
    num:(/(\d+)$/.exec(id)||[])[1]||'',
    pfx:prefixOf(id).replace(/-$/,'').toLowerCase(),
    name:(slotName(a)||'').toLowerCase(),
    cks:keysOf(a.carClass,classKey), gks:keysOf(a.group,groupKey),
    ps:(a.psName||'').toLowerCase(), time:(a.loadTime||'').toLowerCase(),
    where:slotWhere(id).toLowerCase(),
    stat:(isVendor(a)?'vendor ':'')+(asgn[id]?'':'available empty ')+(ghosts[id]?'out of bounds will not fit ':''),
    priv:EDIT?[a.mobile||'',(a.mobile||'').replace(/\D/g,''),a.psContact||'',a.psPhone||''].join(' ').toLowerCase():''
  };
  RECS.set(id,r); return r;
}

// A whole-query pass, tried before splitting into terms. If the query names a class or
// group that actually exists in this plan, it IS that facet -- which is what stops
// "Group 2" matching Group 20, Tier 2, and every bay numbered 2.
function parseQuery(raw){
  const str=String(raw||'').trim();
  if(!str) return {phrase:null,terms:[]};
  const gk=groupKey(str), ck=classKey(str);
  if(ck&&FACETS.cls.some(f=>f.key===ck)) return {phrase:{k:'cls',key:ck},terms:[]};
  if(gk&&FACETS.grp.some(f=>f.key===gk)) return {phrase:{k:'grp',key:gk},terms:[]};
  const tm=/^tier\s*([1-4])$/.exec(str.toLowerCase());
  if(tm) return {phrase:{k:'tier',key:tm[1]},terms:[]};
  return {phrase:null,terms:str.toLowerCase().split(/\s+/).filter(Boolean)};
}

function scoreTerm(r,t){
  if(t===r.idl||t===r.idc) return 100;
  const ck=classKey(t), gk=groupKey(t);
  if(ck&&r.cks.indexOf(ck)>-1) return 90;
  if(gk&&r.gks.indexOf(gk)>-1) return 90;
  const alpha=/^[a-z]+$/.test(t);
  let s=0;
  if(r.name){
    if(wordHit(r.name,t)) s=Math.max(s,60);
    else if(t.length>=3&&r.name.indexOf(t)>-1) s=Math.max(s,25);
  }
  if(r.ps){
    if(wordHit(r.ps,t)) s=Math.max(s,40);
    else if(t.length>=3&&r.ps.indexOf(t)>-1) s=Math.max(s,18);
  }
  if(alpha&&r.stat.indexOf(t)>-1) s=Math.max(s,50);
  if(t===r.pfx) s=Math.max(s,35);
  if(t===r.num) s=Math.max(s,30);
  if(t.length>=3&&r.idl.indexOf(t)>-1) s=Math.max(s,20);
  if(r.priv&&t.length>=3&&r.priv.indexOf(t)>-1) s=Math.max(s,20);
  if(r.time&&t.length>=2&&r.time.indexOf(t)>-1) s=Math.max(s,15);
  // slotWhere ("tier 2 left, north row") answers only ALPHABETIC terms, so a bare "2"
  // can never match the tier again -- that was half of the "Group 2" bug.
  if(alpha&&wordHit(r.where,t)) s=Math.max(s,8);
  return s;
}

function scoreRec(id,parsed){
  const r=searchRec(id);
  if(parsed.phrase){
    const p=parsed.phrase;
    if(p.k==='cls')  return r.cks.indexOf(p.key)>-1?100:0;
    if(p.k==='grp')  return r.gks.indexOf(p.key)>-1?100:0;
    if(p.k==='tier') return r.pfx.charAt(0)===p.key?100:0;
  }
  if(!parsed.terms.length) return 1;          // chips only: everything that passed is equal
  let total=0;
  for(let i=0;i<parsed.terms.length;i++){
    const s=scoreTerm(r,parsed.terms[i]);
    if(!s) return 0;                          // every term must land somewhere
    total+=s;
  }
  return total;
}
function slotOrder(id){
  const m=/^(\d)([LR])([NS])-(\d+)$/.exec(id);
  return m ? (m[1]+m[2]+m[3]+String(+m[4]).padStart(3,'0')) : id;
}
let QPARSE={phrase:null,terms:[]};
function applySearch(){
  const gs=document.querySelectorAll('#map g[id^="s-"],#map g[id^="x-"]');
  const parsed=QPARSE;
  if(!hasFilter()&&!parsed.phrase&&!parsed.terms.length){
    gs.forEach(g=>g.classList.remove('hit','dim'));
    renderResults(null); return;
  }
  const hits=[], score={};
  gs.forEach(g=>{
    const id=g.id.slice(2);
    let ok=matchFacets(asgn[id]), sc=0;      // chips first: cheapest and most decisive
    if(ok){ sc=scoreRec(id,parsed); ok=sc>0; }
    g.classList.toggle('hit',ok);            // only real matches get the gold ring
    g.classList.toggle('dim',!ok&&id!==selId);   // an open card is never dimmed out
    if(ok){ score[id]=sc; hits.push(id); }
  });
  hits.sort((a,b)=>(score[b]-score[a])||slotOrder(a).localeCompare(slotOrder(b)));
  renderResults(hits,gs.length);   // ghosts are searchable, so they count in the total
}
function renderResults(hits,total){
  const box=document.getElementById('results'), cnt=document.getElementById('q-count');
  box.innerHTML='';
  if(!hits){ box.hidden=true; cnt.textContent=''; return; }
  box.hidden=false;
  cnt.textContent=hits.length+' of '+total;
  if(!hits.length){
    const d=document.createElement('div'); d.className='none';
    d.textContent=hasFilter()
      ? 'No entrant in '+filterLabel()+' in this plan.'
      : 'No match. Try part of a team or prep-shop name, a class, a run group, or a slot like 1RS-7.';
    box.appendChild(d); return;
  }
  // A chip filter legitimately has 30+ members and you want them all; free text means
  // you are still refining, so keep that list short.
  const cap=(!QPARSE.phrase&&!QPARSE.terms.length&&hasFilter())?40:12;
  hits.slice(0,cap).forEach(id=>{
    const a=asgn[id]||{};
    const d=document.createElement('div'); d.className='r'; d.tabIndex=0;
    const b=document.createElement('b'); b.textContent=id;
    const n=document.createElement('span'); n.textContent=slotName(a)||(ghosts[id]?'(out of bounds)':'Available');
    const cg=[a.carClass,a.group].filter(Boolean).join(' / ');
    const w=document.createElement('span'); w.className='w';
    w.textContent=(cg?cg+' · ':'')+slotWhere(id)+(a.loadTime?' · in '+a.loadTime:'');
    d.appendChild(b); d.appendChild(n); d.appendChild(w);
    d.addEventListener('click',()=>focusSlot(id));
    d.addEventListener('keydown',ev=>{ if(ev.key==='Enter') focusSlot(id); });
    box.appendChild(d);
  });
  if(hits.length>cap){
    const d=document.createElement('div'); d.className='none';
    d.textContent='+ '+(hits.length-cap)+' more — '+(cap===40?'scroll for the rest.':'refine the search.');
    box.appendChild(d);
  }
}
function focusSlot(id,quiet){
  if(!id) return;
  const g=document.getElementById('s-'+id)||document.getElementById('x-'+id);
  if(!g){ if(!quiet) ib.textContent='Slot '+id+' is not on this map.'; return; }
  onSlotClick(id,g);
  if(g.scrollIntoView) g.scrollIntoView({block:'center',inline:'center'});
}
function runSearch(){
  QPARSE=parseQuery(document.getElementById('q').value);
  applySearch();
}
let qTimer=null;
document.getElementById('q').addEventListener('input',()=>{
  clearTimeout(qTimer); qTimer=setTimeout(runSearch,80);
});
document.getElementById('q-clear').addEventListener('click',()=>{
  clearFilters(true); document.getElementById('q').focus();
});
document.addEventListener('keydown',e=>{
  const q=document.getElementById('q');
  if(e.key==='/'&&document.activeElement!==q&&!/^(INPUT|SELECT|TEXTAREA)$/.test(document.activeElement.tagName)){
    e.preventDefault(); q.focus();
  }else if(e.key==='Escape'){
    if(document.getElementById('info-bg').classList.contains('open')) closeInfo();
    else if(q.value){ q.value=''; runSearch(); }
    else if(hasFilter()) clearFilters(false);
  }
});

function noteOrphans(append){
  const lost=Object.keys(ghosts).concat(
    Object.keys(asgn).filter(id=>hasEntrant(id)&&!document.getElementById('s-'+id)&&!ghosts[id]));
  if(!lost.length) return;
  // The two reasons need different advice. A no-room bay comes back if the row is narrowed;
  // a retired one sits under a fixed feature and narrowing only shuffles which bay pays --
  // telling someone to narrow their way out of a walkway would send them in circles.
  const list=a=>a.slice(0,6).join(', ')+(a.length>6?', ...':'');
  const retired=lost.filter(id=>ghosts[id]==='blocked');
  const noRoom=lost.filter(id=>ghosts[id]!=='blocked');
  const parts=[];
  if(retired.length) parts.push(retired.length+' assignment'+(retired.length>1?'s sit':' sits')+
    ' on a retired bay ('+list(retired)+') - a keep-out covers it. Click the red box to move '+
    (retired.length>1?'them':'it')+' to a free bay; the entry is kept until you do.');
  if(noRoom.length) parts.push(noRoom.length+' assignment'+(noRoom.length>1?'s do':' does')+
    ' not fit ('+list(noRoom)+') - shown as red boxes on the map. Click one to edit or clear '+
    'it; narrowing the row makes room.'+tailHint(noRoom[0]));
  ib.textContent=(append?ib.textContent+'   ':'')+parts.join('   ');
}

initMode();
if(EDIT) loadFromStorage(); else loadPublished();
build();
applyAssignments();
// initModeMessages() assigns ib.textContent outright, so it has to run BEFORE the orphan
// warning rather than after it -- otherwise the one message that needs acting on is the one
// that gets overwritten, and a retired bay shows only as a red box with nothing to explain it.
initModeMessages();
noteOrphans(true);
focusSlot(PARAMS.get('slot'),true);
// After applyAssignments (facets must exist) and after focusSlot (which sets selId,
// the one slot applySearch protects from dimming).
initFilters();
if(PARAMS.get('q')) document.getElementById('q').value=PARAMS.get('q');
runSearch();          // unconditional: a chip filter with no text still needs a pass
</script>
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