Brandling Safari: LAN safari-zone creature catching on the HD-2D engine
- Authoritative 30 Hz server (ENet, SQLite): accounts, characters, wild AI, tall grass / water / wandering spawns, fishing, captures, follower chains, clock + weather, LAN beacon - Client: title / join / character creator / play screens, prediction + reconciliation, interpolated players and parties, HD-2D UI (dialogue with Professor Henry, HUD, collection) - Shared deterministic zone generator, movement, protocol, roster, appearance - Paper-doll character art pipeline (PixelLab base walk + per-item animation edits) - Brandling roster from the company list (logo colors, jev types), Blender safari props - Headless test bot
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Gabe
218
tools/roster_csv.py
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218
tools/roster_csv.py
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"""Read the web-design client export (ClickUp CSV) into a clean company list.
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Only the company name, its domain, the staging-site URL (used to look for a logo, never
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stored), the services / key-highlights text (for type classification) and the colour words
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of the logo note are extracted. Every other field (logins, contacts, addresses, client names)
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is ignored.
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"""
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import csv
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import re
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import unicodedata
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from dataclasses import dataclass, field
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csv.field_size_limit(1 << 30)
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# Lines that start a new section of the task text (end of a services / highlights list).
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SECTION = re.compile(r"^(additional information|key highlights|account manager|client name|business address|"
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r"domain|site pages|logo|contact|login|theme|target city|business hours|phone|email|"
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r"do we have|uploaded logo|client desired|if “other”|if \"other\")\b", re.I)
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BOILERPLATE = {"locally owned", "family owned", "reliable", "free estimates", "free estimate", "licensed",
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"insured", "licensed and insured", "licensed & insured", "veteran owned", "woman owned",
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"women owned", "locally owned, family owned", "bonded", "affordable", "trusted",
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"satisfaction guaranteed", "24/7", "emergency services", "competitive pricing", "quality work"}
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PRIVATE = re.compile(r"@|https?:|www\.|\d[\d\s().-]{6,}\d|password|username|login", re.I)
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LEGAL = re.compile(r"[\s,]+(?:l\.?\s?l\.?\s?c\.?|inc\.?|incorporated|corp\.?|corporation|ltd\.?|limited|"
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r"p\.?\s?l\.?\s?l\.?\s?c\.?|l\.?\s?l\.?\s?p\.?|p\.?\s?c\.?|p\.?\s?a\.?|l\.?c\.?|co\.?)\s*$", re.I)
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NOT_COMPANY = re.compile(r"^(test|testing|template|copy of|untitled|new task|sample|demo|example|tbd|n/?a|"
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r"none|unknown|duplicate|delete|do not use)\b", re.I)
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# Short all-caps words that are real words (title-cased when fixing a shouted name);
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# every other word of 1-3 letters is kept as an acronym (HVAC-style initials).
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SHORT_WORDS = {"the", "and", "of", "for", "all", "pro", "top", "one", "big", "new", "sun", "bay", "oak", "art",
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"car", "dog", "fix", "man", "men", "way", "day", "air", "hot", "red", "sky", "sea", "ace", "job",
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"bee", "bug", "cut", "hub", "go", "my", "on", "to", "in", "at", "by", "a", "an", "or", "us", "we",
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"box", "fox", "elk", "owl", "ant", "pet", "pup", "joy", "sol", "max", "tri", "bro", "now", "get",
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"our", "you", "pine", "key", "inn", "spa", "tub", "pool", "dry", "wet", "mud", "ice", "tile",
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"it", "is", "git", "don", "co", "do", "no", "up", "me", "dad", "mom", "son", "sons",
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"two", "six", "ten", "own", "pal", "rad", "fun", "eco", "zen", "gem", "pop", "wow", "yes", "hey"}
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COLOR_WORDS = [ # longest phrases first
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("light purple", "#B39DDB"), ("dark purple", "#4A148C"), ("light blue", "#4FC3F7"), ("baby blue", "#81D4FA"),
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("sky blue", "#4FC3F7"), ("royal blue", "#2747C8"), ("dark blue", "#0D2B6B"), ("navy blue", "#1A237E"),
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("light green", "#7CB342"), ("lime green", "#7CB342"), ("dark green", "#1B5E20"), ("forest green", "#1B5E20"),
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("hunter green", "#2E5A3A"), ("dark red", "#8B1A1A"), ("light grey", "#BDBDBD"), ("light gray", "#BDBDBD"),
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("dark grey", "#4A4A4A"), ("dark gray", "#4A4A4A"), ("light pink", "#F8BBD0"), ("hot pink", "#E91E63"),
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("navy", "#1A237E"), ("maroon", "#7B1E2B"), ("burgundy", "#7B1E2B"), ("crimson", "#B71C1C"),
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("red", "#C62828"), ("orange", "#EF6C00"), ("yellow", "#FBC02D"), ("gold", "#D4A017"), ("golden", "#D4A017"),
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("green", "#2E7D32"), ("lime", "#9CCC65"), ("olive", "#6B7A2A"), ("teal", "#00897B"),
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("turquoise", "#26C6DA"), ("aqua", "#26C6DA"), ("cyan", "#00BCD4"), ("blue", "#1565C0"),
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("purple", "#6A1B9A"), ("violet", "#7E57C2"), ("lavender", "#B39DDB"), ("magenta", "#C2185B"),
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("pink", "#EC407A"), ("brown", "#6D4C41"), ("tan", "#C8A97E"), ("beige", "#D7C4A3"), ("cream", "#F3E5AB"),
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("copper", "#B87333"), ("bronze", "#CD7F32"), ("rust", "#B7410E"), ("charcoal", "#36454F"),
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("black", "#212121"), ("white", "#FAFAFA"), ("grey", "#9E9E9E"), ("gray", "#9E9E9E"), ("silver", "#BDBDBD"),
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]
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@dataclass
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class Company:
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name: str # display name
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slug: str
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key: str # dedupe key (normalised name)
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domain: str | None = None
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staging: str | None = None # staging site root URL (logo search only; never written out)
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services: list = field(default_factory=list)
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highlights: list = field(default_factory=list)
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colors: list = field(default_factory=list) # hex colours named in the logo note
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has_company_line: bool = False
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richness: tuple = ()
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def slugify(s):
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s = unicodedata.normalize("NFKD", s).encode("ascii", "ignore").decode()
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return re.sub(r"[^a-z0-9]+", "-", s.lower()).strip("-")
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def _fix_case(name):
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"""Title-case a shouted (ALL-CAPS) or all-lowercase name. In a shouted name, runs of 1-3
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letters stay uppercase (initials like KCS, HVAC-style) unless they are common words."""
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letters = [c for c in name if c.isalpha()]
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if not letters:
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return name
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shouted = all(c.isupper() for c in letters) and len(letters) >= 4 and \
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any(len(w) >= 4 for w in re.findall(r"[^\W\d_]+", name))
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if not (shouted or all(c.islower() for c in letters)):
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return name
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def run(m):
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w = m.group(0)
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if shouted and len(w) <= 3 and w.lower() not in SHORT_WORDS:
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return w
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return w[:1].upper() + w[1:].lower()
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name = re.sub(r"[^\W\d_]+", run, name)
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return re.sub(r"(['’])S\b", r"\1s", name)
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def clean_name(raw):
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"""Display name: drop legal suffixes and quotes, fix ALL-CAPS or all-lowercase names."""
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s = unicodedata.normalize("NFKC", raw or "").replace("\u00a0", " ")
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s = re.sub(r"\s+", " ", s).strip().strip("\"'“”*").strip()
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s = re.sub(r"\s*\((?:redesign|old|new|copy|duplicate|dupe|2nd|second|rebuild|canceled|cancelled)[^)]*\)\s*$", "", s, flags=re.I)
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for _ in range(3):
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m = LEGAL.search(s)
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if not m:
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break
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rest = s[:m.start()].rstrip(" ,&-")
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# "Co." only goes when a real name is left ("Health Co." keeps it)
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if re.fullmatch(r"[\s,]+co\.?\s*", m.group(0), re.I) and len(rest.split()) < 2:
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break
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s = rest
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s = s.strip(" ,.-&")
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return _fix_case(s)
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def _value(text, label):
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m = re.search(rf"^\s*{label}\s*:\s*(.*)$", text, re.I | re.M)
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return m.group(1).strip() if m else ""
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def _section(lines, start_pat, limit=14):
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out, on = [], False
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for line in lines:
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s = line.strip()
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if not on:
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if re.match(start_pat, s, re.I):
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on = True
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rest = re.sub(start_pat, "", s, flags=re.I).strip(" :")
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if rest:
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out.append(rest)
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continue
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if not s or SECTION.match(s):
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if out or SECTION.match(s):
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break
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continue
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out.append(s)
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if len(out) >= limit:
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break
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items = []
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for s in out:
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s = re.sub(r"^[-•*·\d.)\s]+", "", s).strip(" ,;")
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if not s or PRIVATE.search(s) or len(s) > 80:
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continue
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items.append(s)
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return items
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def _domain(text):
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"""The client's desired domain, else the site being redesigned. clickwise.dev never counts."""
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from logo_fetch import normalize_domain # Company_Sprite_Gen (on sys.path)
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values = [_value(text, "Client desired domain name")]
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m = re.search(r"is a redesign of\s*:?\s*(\S+)", text, re.I)
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if m:
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values.append(m.group(1))
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for v in values:
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for tok in re.findall(r"(?:https?://)?(?:www\.)?[A-Za-z0-9-]+(?:\.[A-Za-z0-9-]+)*\.[A-Za-z]{2,}", v):
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d = normalize_domain(tok)
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if d and not d.endswith("clickwise.dev") and not d.endswith("jotform.com"):
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return d
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return None
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def _colors(text):
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note = _value(text, r"Do we have their logo\? If not what needs to be done")
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note = note.lower()
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found = []
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for word, hexv in COLOR_WORDS:
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for m in re.finditer(rf"\b{re.escape(word)}\b", note):
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found.append((m.start(), word, hexv))
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note = note[:m.start()] + " " * len(word) + note[m.end():]
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return [h for _, _, h in sorted(found)][:3]
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def parse_row(row):
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text = (row.get("Task Content") or "").replace("\\n", "\n")
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company_line = _value(text, "Company name")
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raw = company_line if company_line and company_line.upper() not in ("NA", "N/A") else row.get("Task Name", "")
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name = clean_name(raw)
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if not name or sum(ch.isalpha() for ch in name) < 3 or NOT_COMPANY.match(name) or not slugify(name):
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return None
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lines = text.split("\n")
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staging = None
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m = re.search(r"https?://([a-z0-9-]+)\.clickwise\.dev", text, re.I)
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if m:
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staging = f"https://{m.group(1).lower()}.clickwise.dev/"
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services = _section(lines, r"^\(?services\)?\s*:?")
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highlights = [h for h in _section(lines, r"^key highlights\s*:?", limit=8) if h.lower() not in BOILERPLATE]
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c = Company(name=name, slug=slugify(name), key=re.sub(r"^the-", "", slugify(name)).replace("-", ""),
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domain=_domain(text), staging=staging, services=services, highlights=highlights,
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colors=_colors(text), has_company_line=bool(company_line))
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c.richness = (c.has_company_line, bool(c.domain), len(c.services), bool(c.staging), len(text))
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return c
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def load_companies(csv_path):
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"""(companies sorted by slug, stats). Duplicates (same normalised name) keep the richest
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row, filling its missing domain / staging / colours from the others."""
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stats = {"rows": 0, "not_company": 0, "duplicates": 0}
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by_key = {}
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with open(csv_path, newline="", encoding="utf-8") as f:
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for row in csv.DictReader(f):
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stats["rows"] += 1
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c = parse_row(row)
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if c is None:
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stats["not_company"] += 1
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continue
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old = by_key.get(c.key)
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if old is None:
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by_key[c.key] = c
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continue
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stats["duplicates"] += 1
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best, other = (c, old) if c.richness > old.richness else (old, c)
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best.domain = best.domain or other.domain
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best.staging = best.staging or other.staging
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best.colors = best.colors or other.colors
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best.services = best.services or other.services
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by_key[c.key] = best
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companies = sorted(by_key.values(), key=lambda c: c.slug)
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stats["kept"] = len(companies)
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return companies, stats
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