84e0a1b764
1. validate_atlas (the G2a format gate). pipeline/validate_atlas.py, wired into validate_manifest so it
runs in qa gate 3. Judges Lane G's tier-1 atlases from the COMMITTED FILES ALONE -- no dealgod DB, no
network. No atlases yet => clean pass, so it's in place before G's lands. Enforces: provenance
{license, attribution, generator, snapshot} (charter law #3 + determinism); NO private-individual item
fields (law #3); 1 atlas/shop hard cap 2 (C §7.1); <=1024², 2048² only for a 60+ item shop (C §7.2);
declared atlas_px == the atlas's REAL pixels + every listed atlas exists; schema/UV/bands/dup-ids
(C §7.3). The licence string is PRINTED, not pattern-matched -- clearing photos for public release is
a human call, so the gate surfaces it. Dependency-free PNG/WebP header parser. Tested against a
10-case matrix (real 2048² WebP + 1024² PNG): good passes clean, all 9 violations caught.
2. toowoomba RETIRED (my call, counted). Tried the re-bbox FIRST: 3.0km CBD-wide -> 1.6km on the Ruthven
St heart. It fixed the named metric (median NN 395.7 -> 89.4m raw, 'passes') but made the real thing
WORSE: hub density 3/12 -> 2/12 within 160m, the pack's worst (D's alive-darwin is 7/12). Its shops
are PAIRS strung along a road, not a high street; densest 300m cluster is 3 shops (< MIN_TOWN_SHOPS),
so no tighter box exists. Shipping it would have gamed the number while leaving a town nobody shops in
(D: 0 finds / 1417 checks). Config entry kept commented with the rationale. Pack: 21 real + 1 godverse
= 22 rostered, 1180 shops, all 8 states/territories (QLD keeps westend). selfcheck ALL GREEN 152015.
-> Lane A, before you freeze the spacing warn (#5): (a) your validator sees the CACHE (raw lat/lon) but
D's numbers are SEATED (post-lift) -- darwin is 27m seated vs 68.3m RAW, so a threshold picked off D's
table would FALSE-WARN darwin; calibrate on the raw spread (daylesford 11.6 ... braddon 119.2,
ballarat 254.6 -- a ~200m line has daylight). (b) median NN alone is GAMEABLE: my re-bbox improved it
4.4x while the town got worse -- the hub fraction is the discriminator, and my raw hub metric
reproduces D's darwin exactly (7/12), so it's directly encodable (alive ~38-75%, dead <=20%).
(c) ballarat is a SECOND spread town D's two-town comparison missed (NN 254.6m, hub 4/20 = 20%) -- it
will trip your warn, correctly. Not retired: the ledger named toowoomba only.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
399 lines
24 KiB
Python
399 lines
24 KiB
Python
#!/usr/bin/env python3
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"""build_towns.py — the real-map scout (ROUND17 ledger #6). A port of thriftgod `build_city()`'s
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Overpass route to PER-TOWN real Australian caches in the Lane-A `procity-town-cache/1` contract.
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python3 pipeline/build_towns.py # build every town (cached raw reused, no re-fetch)
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python3 pipeline/build_towns.py katoomba_real # one town
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python3 pipeline/build_towns.py --refetch # ignore cached raw, re-hit Overpass (deliberate)
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Pipeline per town: bounded Overpass query → RAW response cached in-repo (`web/assets/towns/_raw/`, so
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re-runs NEVER re-fetch) → dedupe (OSM maps a shop as node AND way) → suburb fill (untagged adopt the
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nearest tagged neighbour) → parody the big trademarked charity/franchise names (indie shops keep their
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real OSM name) → map OSM `shop=*` to a registry SHOP_TYPE → `web/assets/towns/<key>.json`.
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DATA DISCIPLINE (ledger #6): deterministic (same raw → byte-identical cache; shops sorted by OSM id,
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no RNG); bounded queries (a cache is ONE compact town, span < 5 km — the mega-strip risk); ODbL
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attribution ships IN every cache (`license`/`attribution`) + `SOURCES.md`. Hours are NOT cached — the
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registry supplies them at plan time (contract shop = {id,name,type,lat,lon,suburb}). Overpass is an
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outward-facing fetch (John-authorized scout, once per town, raw cached).
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"""
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import os, sys, json, re, math, time, datetime, hashlib, urllib.request, urllib.parse, urllib.error
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ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
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TOWNS_DIR = os.path.join(ROOT, "web", "assets", "towns")
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RAW_DIR = os.path.join(TOWNS_DIR, "_raw")
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OVERPASS = "https://overpass-api.de/api/interpreter"
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UA = "PROCITY-townscout/0.1 (real-map scout; OpenStreetMap ODbL data)"
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COURTESY_SLEEP = 4 # pause between Overpass calls — the standing auth covers the fetches,
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# courtesy covers the cadence (R21 pack scale: ~2 calls × ~20 towns)
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# Compact real AU towns: center (lat,lon) + query box span (km). `katoomba_real` is the fixture
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# comparison (vs the hand-made `katoomba` in osm_fixture.js). Spans kept tight so each is ONE town.
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TOWNS = {
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# ── the beta five (v4.0-alpha/beta — A has these absorbed + pinned) ─────────────────────────
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"katoomba_real": {"town": "Katoomba", "state": "NSW", "center": (-33.7145, 150.3120), "span_km": 3.0},
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"newtown_real": {"town": "Newtown", "state": "NSW", "center": (-33.8985, 151.1790), "span_km": 2.6},
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"fremantle_real": {"town": "Fremantle", "state": "WA", "center": (-32.0555, 115.7480), "span_km": 2.6},
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"bendigo_real": {"town": "Bendigo", "state": "VIC", "center": (-36.7580, 144.2810), "span_km": 3.4},
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"castlemaine_real": {"town": "Castlemaine", "state": "VIC", "center": (-37.0640, 144.2170), "span_km": 3.0},
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# ── the v4.0 curated pack (ROUND21 ledger #5 — DATA-ONLY; A absorbs + pins in R22) ──────────
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# Curated on the instincts the first five earned: pick for real SECONDHAND density (the heroes
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# are the game — a town with no op shops isn't a PROCITY town), a walkable centre that fits a
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# ~2–3 km bbox (the mega-strip law), and a national spread. Any town that misses the ≥6-shop
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# floor or the 5 km span is dropped by the builder and counted — the pack is what survives.
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"glebe_real": {"town": "Glebe", "state": "NSW", "center": (-33.8790, 151.1870), "span_km": 2.2},
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"marrickville_real": {"town": "Marrickville", "state": "NSW", "center": (-33.9110, 151.1550), "span_km": 2.4},
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# Newcastle: centred on the Hamilton / Beaumont St strip, NOT the CBD — the CBD bbox held only 2
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# heroes; Hamilton is where Newcastle's actual secondhand shops are (my first centre missed it).
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"newcastle_real": {"town": "Newcastle", "state": "NSW", "center": (-32.9235, 151.7440), "span_km": 2.4},
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"wollongong_real": {"town": "Wollongong", "state": "NSW", "center": (-34.4250, 150.8940), "span_km": 2.8},
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"bowral_real": {"town": "Bowral", "state": "NSW", "center": (-34.4780, 150.4180), "span_km": 2.2},
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"fitzroy_real": {"town": "Fitzroy", "state": "VIC", "center": (-37.7990, 144.9790), "span_km": 2.2},
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"brunswick_real": {"town": "Brunswick", "state": "VIC", "center": (-37.7700, 144.9600), "span_km": 2.6},
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"ballarat_real": {"town": "Ballarat", "state": "VIC", "center": (-37.5620, 143.8500), "span_km": 3.0},
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"daylesford_real": {"town": "Daylesford", "state": "VIC", "center": (-37.3430, 144.1430), "span_km": 2.0},
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"geelong_real": {"town": "Geelong", "state": "VIC", "center": (-38.1490, 144.3600), "span_km": 3.0},
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"westend_real": {"town": "West End", "state": "QLD", "center": (-27.4830, 153.0100), "span_km": 2.2},
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# ── RETIRED R23 (E's curation call, counted) — toowoomba_real ────────────────────────────────
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# D's R22 finding: DEAD — median NN 388 m, 3/12 shops near the hub, **0 patronage finds in 1417
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# checks**. I tried the re-bbox first (3.0 km CBD-wide → 1.6 km on the Ruthven St heart, centre
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# -27.5610,151.9535): it FIXED the named metric (median NN 395.7 → 89.4 m raw — normal for the
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# pack) but made the real thing WORSE — hub density 3/12 → **2/12 within 160 m, the worst in the
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# pack** (D's alive-darwin is 7/12). Toowoomba's shops are PAIRS strung along a road, not a high
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# street; its densest 300 m cluster is only 3 shops, below MIN_TOWN_SHOPS, so no tighter box
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# exists. Shipping it would have gamed the spacing metric while leaving a town nobody shops in.
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# Retired rather than padded. (QLD keeps westend_real, 11 heroes / 44 shops.)
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# "toowoomba_real": {"town": "Toowoomba", "state": "QLD", "center": (-27.5600, 151.9540), "span_km": 3.0},
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"northbridge_real": {"town": "Northbridge", "state": "WA", "center": (-31.9490, 115.8570), "span_km": 2.4},
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"adelaide_real": {"town": "Adelaide", "state": "SA", "center": (-34.9240, 138.6050), "span_km": 2.8},
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"hobart_real": {"town": "Hobart", "state": "TAS", "center": (-42.8820, 147.3270), "span_km": 2.8},
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"launceston_real": {"town": "Launceston", "state": "TAS", "center": (-41.4380, 147.1370), "span_km": 2.6},
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"braddon_real": {"town": "Braddon", "state": "ACT", "center": (-35.2740, 149.1330), "span_km": 2.4},
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"darwin_real": {"town": "Darwin", "state": "NT", "center": (-12.4630, 130.8420), "span_km": 2.6},
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}
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# the beta five are already pinned by A; `--pack` builds only the new curated candidates
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BETA_FIVE = ("katoomba_real", "newtown_real", "fremantle_real", "bendigo_real", "castlemaine_real")
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# ── the class list (v4.0-beta, ROUND20 ledger #2 — C's LANE_C_PUB §6 table, John's SUBTLE directive) ──
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# HEROES = the secondhand shops (they ARE the game) — never subsampled. TEXTURE = the everyday
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# main-street staples a real AU town has (bakery/cafe/chemist/newsagent/clothes/…). Tasteful staples
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# ONLY per C's guardrail: no vehicle/tyres/fuel, funeral, storage, industrial, and no pure services
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# the player never browses (hairdresser/beauty/travel_agency/bank/laundry/estate_agent).
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HERO_CLASSES = {"charity", "second_hand", "antiques", "vintage", "books", "bookshop",
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"music", "video", "games", "video_games", "pawnbroker", "toys"}
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TEXTURE_CLASSES = {
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"bakery", "cafe", "confectionery", "pastry", "chocolate", "deli", "delicatessen", "butcher",
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"cheese", "coffee", "tea", "convenience", "kiosk", "general", "dairy", "newsagent", "stationery",
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"chemist", "pharmacy", "cosmetics", "perfumery", "clothes", "fashion", "boutique", "shoes", "bag",
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"jewelry", "jewellery", "department_store", "variety_store", "supermarket", "hardware",
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"doityourself", "trade", "electronics", "mobile_phone", "furniture", "houseware", "homeware",
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"greengrocer", "florist", "farm", "garden_centre",
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}
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AMENITY_CLASSES = {"cafe"} # C's †: cafe is amenity=*, not shop=*
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SHOP_CLASSES = (HERO_CLASSES | TEXTURE_CLASSES) - AMENITY_CLASSES
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# C's copy-paste map (LANE_C_PUB §6). Every target is an EXISTING registry type — no new archetypes.
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# (+ `video_games`→video: C listed video/games→video; video_games is the same family and was already
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# shipping as `video` pre-widening — kept so those shops don't regress to opshop. Flagged to C.)
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TYPE_MAP = {
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"charity": "opshop", "second_hand": "opshop", "antiques": "opshop", "vintage": "opshop",
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"books": "book", "bookshop": "book", "music": "record", "video": "video", "games": "video",
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"video_games": "video", "pawnbroker": "pawn", "toys": "toy",
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"bakery": "milkbar", "cafe": "milkbar", "confectionery": "milkbar", "pastry": "milkbar",
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"chocolate": "milkbar", "deli": "milkbar", "delicatessen": "milkbar", "butcher": "milkbar",
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"cheese": "milkbar", "coffee": "milkbar", "tea": "milkbar", "convenience": "milkbar",
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"kiosk": "milkbar", "general": "milkbar", "dairy": "milkbar", "newsagent": "milkbar",
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"stationery": "milkbar", "chemist": "milkbar", "pharmacy": "milkbar", "cosmetics": "milkbar",
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"perfumery": "milkbar",
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"clothes": "dept", "fashion": "dept", "boutique": "dept", "shoes": "dept", "bag": "dept",
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"jewelry": "dept", "jewellery": "dept", "department_store": "dept", "variety_store": "dept",
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"supermarket": "dept", "hardware": "dept", "doityourself": "dept", "trade": "dept",
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"electronics": "dept", "mobile_phone": "dept", "furniture": "dept", "houseware": "dept",
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"homeware": "dept",
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"greengrocer": "stall", "florist": "stall", "farm": "stall", "garden_centre": "stall",
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}
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# John's directive: texture, not takeover. If a town's general retail would drown the secondhand
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# strip, seed-subsample the TEXTURE classes toward C's ~2–3× band; heroes are never touched and
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# every drop is counted (counts.textureDropped).
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TEXTURE_CAP = 3.0
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# ── roads[] (schema v2, ROUND18 REAL ROADS) ─────────────────────────────────────────────────────
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# We FETCH every OSM highway tier A's ROAD_KIND maps (→ raw cache, full provenance / beta-ready) but
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# EMIT only the town STREET graph. Fidelity cut (charter risk #4, flagged to A who owns the knob):
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# the service/track/footway/path/steps/cycleway tier is EXCLUDED — in Katoomba that's 1461 of 2506
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# ways (Blue-Mountains bushwalking tracks, sidewalks, stairs, driveways, parking aisles), noise for a
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# town street graph and a way-count A's lift would build 2500+ edges from. The full set stays in the
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# raw response if A wants a tier back. `kind` ships as the raw OSM highway class; A maps it (ROAD_KIND).
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ROAD_HW = ("motorway|trunk|primary|secondary|tertiary|unclassified|residential|living_street|road"
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"|service|track|pedestrian|footway|path|steps|cycleway")
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STREET_KINDS = {"motorway", "trunk", "primary", "secondary", "tertiary", "unclassified",
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"residential", "living_street", "road", "pedestrian"}
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# The big trademarked charity/franchise chains get loving parodies (ported from thriftgod, John's call
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# for the live game); independent shops keep their real OSM names (factual ODbL data).
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PARODY = [
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(r"salvos( stores?)?|(the )?salvation army", "Slave-ohs"),
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(r"lifeline", "Tightrope"),
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(r"rspca", "RSYMCA"),
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(r"vinnies|st\.? ?vincent('?s| de paul)?( society)?|svdp", "Sinnies"),
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(r"(australian )?red cross", "Red Floss"),
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(r"save the children", "Shave the Children"),
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(r"anglicare", "Tanglecare"),
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(r"uniting ?care|unitingcare|uniting", "Unknitting"),
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(r"good sammys?|good samaritans?", "Okay Sammys"),
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(r"mission australia", "Mission Improbable"),
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(r"brotherhood of st\.? ?laurence", "Brotherhood of St Lozenge"),
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(r"cash ?converters?", "Cashtheists"),
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]
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def parodize(name):
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for pat, rep in PARODY:
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name = re.sub(pat, rep, name, flags=re.I)
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return name
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def punct_blind(s):
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return re.sub(r"[^a-z0-9]", "", s.lower())
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def bbox(center, span_km):
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lat, lon = center
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dlat = (span_km / 2.0) / 111.0
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dlon = (span_km / 2.0) / (111.0 * math.cos(math.radians(lat)))
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return {"minLat": lat - dlat, "minLon": lon - dlon, "maxLat": lat + dlat, "maxLon": lon + dlon}
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def haversine_m(a, b):
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R = 6371000.0
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p1, p2 = math.radians(a[0]), math.radians(b[0])
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dp = math.radians(b[0] - a[0]); dl = math.radians(b[1] - a[1])
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h = math.sin(dp / 2) ** 2 + math.cos(p1) * math.cos(p2) * math.sin(dl / 2) ** 2
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return 2 * R * math.asin(min(1.0, math.sqrt(h)))
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def overpass_post(q):
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"""POST an Overpass query with retry/backoff — the public API 504s / times out under load."""
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req = urllib.request.Request(OVERPASS, data=urllib.parse.urlencode({"data": q}).encode(),
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headers={"User-Agent": UA})
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for attempt in range(4):
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try:
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with urllib.request.urlopen(req, timeout=180) as r:
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return json.load(r).get("elements", [])
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except (urllib.error.HTTPError, urllib.error.URLError, TimeoutError) as e:
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if attempt == 3:
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raise
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wait = 15 * (attempt + 1)
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print(f" Overpass {getattr(e, 'code', type(e).__name__)} — retry {attempt + 1}/3 in {wait}s")
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time.sleep(wait)
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def shops_query(bb):
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box = f'{bb["minLat"]:.5f},{bb["minLon"]:.5f},{bb["maxLat"]:.5f},{bb["maxLon"]:.5f}'
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return (f'[out:json][timeout:180];('
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f'nwr["shop"~"^({"|".join(sorted(SHOP_CLASSES))})$"]["name"]({box});'
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f'nwr["amenity"~"^({"|".join(sorted(AMENITY_CLASSES))})$"]["name"]({box});'
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f');out center;')
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def fetch_raw(key, bb, refetch):
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"""Raw Overpass elements, cached in-repo so re-runs never re-fetch. Auto-refetches when the CLASS
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LIST changes (each snapshot records its query) — that's how the R20 widening lands as a NEW raw
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snapshot without anyone remembering --refetch."""
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os.makedirs(RAW_DIR, exist_ok=True)
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path = os.path.join(RAW_DIR, key + ".overpass.json")
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q = shops_query(bb)
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if os.path.exists(path) and not refetch:
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w = json.load(open(path))
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if w.get("query") == q:
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return w["elements"], w.get("fetchedAt")
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print(f" [{key}] class list changed → new raw snapshot")
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print(f" [{key}] fetching Overpass shops (widened, bounded)")
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els = overpass_post(q)
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fetched = datetime.date.today().isoformat()
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json.dump({"fetchedAt": fetched, "endpoint": OVERPASS, "query": q, "bbox": bb, "elements": els},
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open(path, "w"), indent=1)
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time.sleep(COURTESY_SLEEP) # be a good Overpass citizen between towns
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return els, fetched
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def fetch_roads_raw(key, bb, refetch):
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"""Raw OSM highway ways (with geometry) for the town bbox, cached in-repo like the shops — and,
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like the shops, auto-refetched when the QUERY changes. That symmetry matters: the bbox lives in
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the query, so re-centring a town must invalidate BOTH snapshots. (R21: it didn't. Re-centring
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Newcastle refetched the shops but silently reused the old CBD roads — Hamilton shops seated
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against a road graph 2.5 km away, and the town marched out with ZERO shops.)"""
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os.makedirs(RAW_DIR, exist_ok=True)
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path = os.path.join(RAW_DIR, key + ".roads.overpass.json")
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q = (f'[out:json][timeout:120];'
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f'way["highway"~"^({ROAD_HW})$"]'
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f'({bb["minLat"]:.5f},{bb["minLon"]:.5f},{bb["maxLat"]:.5f},{bb["maxLon"]:.5f});'
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f'out geom;')
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if os.path.exists(path) and not refetch:
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w = json.load(open(path))
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if w.get("query") == q:
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return w["elements"]
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print(f" [{key}] roads bbox/query changed → new raw snapshot")
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print(f" [{key}] fetching Overpass roads (highway ways, bounded)")
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ways = overpass_post(q)
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json.dump({"fetchedAt": datetime.date.today().isoformat(), "endpoint": OVERPASS, "query": q,
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"bbox": bb, "elements": ways}, open(path, "w"), indent=1)
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time.sleep(COURTESY_SLEEP)
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return ways
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def roads_from_ways(ways):
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"""OSM highway ways → roads[] (contract v2): {id, kind, name?, pts:[[lat,lon],…]}. Emit only the
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STREET tier; ship full geometry (A simplifies with Douglas–Peucker); deterministic (id-sorted)."""
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roads = []
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for w in ways:
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hwy = w.get("tags", {}).get("highway")
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geom = w.get("geometry")
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if hwy not in STREET_KINDS or not isinstance(geom, list) or len(geom) < 2:
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continue
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pts = [[round(g["lat"], 6), round(g["lon"], 6)] for g in geom
|
||
if isinstance(g.get("lat"), (int, float)) and isinstance(g.get("lon"), (int, float))]
|
||
if len(pts) < 2:
|
||
continue
|
||
rd = {"id": w["id"], "kind": hwy, "pts": pts}
|
||
name = w.get("tags", {}).get("name")
|
||
if name:
|
||
rd["name"] = name[:60]
|
||
roads.append(rd)
|
||
return sorted(roads, key=lambda r: r["id"])
|
||
|
||
|
||
def process(key, cfg, els, fetched, roads=None):
|
||
center = cfg["center"]
|
||
rows, seen = [], set()
|
||
for el in els:
|
||
t = el.get("tags", {})
|
||
name, osm_shop = t.get("name"), (t.get("shop") or t.get("amenity")) # cafe rides amenity=*
|
||
lat = el.get("lat", el.get("center", {}).get("lat"))
|
||
lon = el.get("lon", el.get("center", {}).get("lon"))
|
||
if not (name and osm_shop and isinstance(lat, (int, float)) and isinstance(lon, (int, float))):
|
||
continue
|
||
dkey = (punct_blind(name), round(lat, 3), round(lon, 3)) # node/way dup fuzz (~110 m)
|
||
if dkey in seen:
|
||
continue
|
||
seen.add(dkey)
|
||
suburb = next((t[k] for k in ("addr:suburb", "addr:city", "addr:town", "addr:place") if t.get(k)), "")
|
||
rows.append({"id": el["id"], "name": name[:60], "osm": osm_shop, "lat": lat, "lon": lon, "suburb": suburb})
|
||
# suburb fill: untagged shops adopt the nearest tagged neighbour within ~3 km (that's a suburb)
|
||
tagged = [r for r in rows if r["suburb"]]
|
||
for r in rows:
|
||
if r["suburb"] or not tagged:
|
||
continue
|
||
near = min(tagged, key=lambda s: haversine_m((r["lat"], r["lon"]), (s["lat"], s["lon"])))
|
||
if haversine_m((r["lat"], r["lon"]), (near["lat"], near["lon"])) <= 3000:
|
||
r["suburb"] = near["suburb"]
|
||
# parody + type-map + second dedupe (parodized name in same suburb = same shop); id-sorted = deterministic
|
||
shops, seen2 = [], set()
|
||
for r in sorted(rows, key=lambda r: r["id"]):
|
||
pname = parodize(r["name"])[:60]
|
||
k2 = (punct_blind(pname), r["suburb"])
|
||
if k2 in seen2:
|
||
continue
|
||
seen2.add(k2)
|
||
shops.append({"id": r["id"], "name": pname, "type": TYPE_MAP.get(r["osm"], "opshop"),
|
||
"lat": round(r["lat"], 6), "lon": round(r["lon"], 6), "suburb": r["suburb"],
|
||
"_osm": r["osm"]})
|
||
# ── SUBTLE (John's directive): texture, not takeover ────────────────────────────────────────
|
||
# The secondhand HEROES are never subsampled — they're the game. If a town's general retail would
|
||
# drown the strip, seed-subsample the TEXTURE toward C's ~2–3× band (deterministic: rank by
|
||
# sha256(townKey:osmId), keep the top `cap`) and COUNT the drops like every other drop.
|
||
heroes = [s for s in shops if s["_osm"] in HERO_CLASSES]
|
||
texture = [s for s in shops if s["_osm"] not in HERO_CLASSES]
|
||
cap, dropped = int(round(TEXTURE_CAP * len(heroes))), 0
|
||
if len(texture) > cap:
|
||
texture.sort(key=lambda s: hashlib.sha256(f"{key}:{s['id']}".encode()).hexdigest())
|
||
dropped, texture = len(texture) - cap, texture[:cap]
|
||
shops = sorted(heroes + texture, key=lambda s: s["id"]) # deterministic emit order
|
||
for s in shops:
|
||
s.pop("_osm", None)
|
||
bb = bbox(center, cfg["span_km"])
|
||
counts = {"raw": len(els), "shops": len(shops), "heroes": len(heroes),
|
||
"texture": len(texture), "textureDropped": dropped}
|
||
cache = {
|
||
"schema": "procity-town-cache/2" if roads else "procity-town-cache/1",
|
||
"key": key, "town": cfg["town"], "source": "osm",
|
||
"license": "ODbL 1.0", "attribution": "© OpenStreetMap contributors",
|
||
"generator": "pipeline/build_towns.py", "fetchedAt": fetched,
|
||
"center": {"lat": center[0], "lon": center[1]},
|
||
"bbox": bb, "counts": counts, "shops": shops,
|
||
}
|
||
if roads:
|
||
counts["roads"] = len(roads)
|
||
cache["roads"] = roads # schema v2 — A's plan_osm builds the real street graph
|
||
return cache
|
||
|
||
|
||
def span_km(shops):
|
||
if not shops:
|
||
return 0.0
|
||
lats = [s["lat"] for s in shops]; lons = [s["lon"] for s in shops]
|
||
latm = haversine_m((min(lats), lons[0]), (max(lats), lons[0]))
|
||
lonm = haversine_m((lats[0], min(lons)), (lats[0], max(lons)))
|
||
return max(latm, lonm) / 1000.0
|
||
|
||
|
||
def main():
|
||
args = [a for a in sys.argv[1:] if not a.startswith("-")]
|
||
refetch = "--refetch" in sys.argv
|
||
no_roads = "--no-roads" in sys.argv # build a v1 cache (marched fallback), no road fetch
|
||
pack = "--pack" in sys.argv # only the NEW curated candidates (the beta five are
|
||
keys = args or ([k for k in TOWNS if k not in BETA_FIVE] if pack else list(TOWNS)) # pinned by A)
|
||
os.makedirs(TOWNS_DIR, exist_ok=True)
|
||
kept, dropped = [], []
|
||
for key in keys:
|
||
cfg = TOWNS[key]
|
||
bb = bbox(cfg["center"], cfg["span_km"])
|
||
els, fetched = fetch_raw(key, bb, refetch)
|
||
roads = None
|
||
if not no_roads:
|
||
roads = roads_from_ways(fetch_roads_raw(key, bb, refetch))
|
||
cache = process(key, cfg, els, fetched, roads)
|
||
n, sp = len(cache["shops"]), span_km(cache["shops"])
|
||
types = {}
|
||
for s in cache["shops"]:
|
||
types[s["type"]] = types.get(s["type"], 0) + 1
|
||
ok = n >= 6 and sp < 5.0
|
||
if ok:
|
||
json.dump(cache, open(os.path.join(TOWNS_DIR, key + ".json"), "w"), indent=1)
|
||
kept.append(key)
|
||
else:
|
||
dropped.append((key, n, sp))
|
||
c = cache["counts"]
|
||
sub = f" −{c['textureDropped']} subsampled" if c.get("textureDropped") else ""
|
||
print(f" {'OK ' if ok else 'LOW'} {key:16} shops={n:>3} (heroes {c['heroes']:>2} + texture "
|
||
f"{c['texture']:>3}{sub}) roads={len(roads or [])!s:>4} {dict(sorted(types.items()))}")
|
||
print(f"\nBUILT {len(kept)} town cache(s) → web/assets/towns/: {', '.join(kept)}")
|
||
if dropped:
|
||
print(f"DROPPED (< 6 shops or span ≥ 5 km): {dropped}")
|
||
write_index()
|
||
|
||
|
||
def write_index():
|
||
"""web/assets/towns/index.json (ROUND20 ledger #2) — B's selector derives the town list from this
|
||
instead of hardcoding REAL_TOWNS. Built from every cache on disk, not just this run."""
|
||
towns = []
|
||
for f in sorted(x for x in os.listdir(TOWNS_DIR) if x.endswith(".json") and x != "index.json"):
|
||
c = json.load(open(os.path.join(TOWNS_DIR, f)))
|
||
k = c.get("key", f[:-5])
|
||
# state: the cache's own field first (so ANY lane's town self-describes — e.g. Lane G's
|
||
# godverse caches), then my TOWNS config, then blank. The index rosters every cache in the
|
||
# dir, not just mine.
|
||
state = c.get("state") or TOWNS.get(k, {}).get("state", "")
|
||
towns.append({"key": k, "town": c.get("town", k), "state": state,
|
||
"shops": len(c.get("shops", [])), "roads": bool(c.get("roads")),
|
||
"source": c.get("source", "osm")})
|
||
idx = {"schema": "procity-towns-index/1", "generated": datetime.date.today().isoformat(),
|
||
"license": "ODbL 1.0", "attribution": "© OpenStreetMap contributors", "towns": towns}
|
||
json.dump(idx, open(os.path.join(TOWNS_DIR, "index.json"), "w"), indent=1)
|
||
print(f"INDEX → web/assets/towns/index.json ({len(towns)} towns: "
|
||
f"{', '.join(t['key'] for t in towns)})")
|
||
|
||
|
||
if __name__ == "__main__":
|
||
main()
|