248 lines
9 KiB
Python
248 lines
9 KiB
Python
import sys
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from collections import defaultdict
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from typing_extensions import cast
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from yattag import Doc, AsIs
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import re
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from functools import reduce
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import json
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import time
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import datetime
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from pathlib import Path
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SLUG_PATTERN = re.compile(r"[\W_]+")
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def slugify(value):
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value = value.encode("ascii", errors="ignore").decode()
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value = SLUG_PATTERN.sub("-", value)
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return value.strip("-")
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JSONFILE = sys.argv[1]
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OUTPUTFILE = sys.argv[2]
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col_titles = {
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# included in the CSV
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"lab": "Lab",
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"chemistry": "Chemistry",
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"format": "Format",
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"subformat": "Subformat",
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"includesSendShipping": "Includes outbound shipping?",
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"sendShippingType": "Outbound shipping type",
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"returnShippingCost": "Return shipping cost",
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"returnShippingType": "Return shipping provider",
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"cost": "Development cost",
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"resolution": "Scan resolution",
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"resolutionName": "Scan resolution name",
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"url": "Product URL",
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# render only
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"outboundShipping": "Outbound shipping",
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"returnShipping": "Return shipping",
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"renderResolution": "Scan resolution",
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"pricePerPixel": "Price per pixel",
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"link": "Order page",
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"calculatedPrice": "Calculated price",
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}
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entries_by_type = defaultdict(lambda: [])
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notes_by_type = {}
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def _render_line(*args, **kwargs):
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d = Doc()
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d.line(*args, **kwargs)
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return d.getvalue()
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def _format_price(price):
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return "£{:.2f}".format(price)
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raw_data_object = None
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with open(JSONFILE) as f:
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raw_data_object = json.load(f)
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for row in raw_data_object["data"]:
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entries_by_type[(row["chemistry"], row["format"], row["subformat"])].append(row)
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for row in raw_data_object["notes"]:
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notes_by_type[(row["chemistry"], row["format"], row["subformat"])] = row["note"]
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doc, tag, text, line = Doc().ttl()
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doc.asis("<!DOCTYPE html>")
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with tag("html"):
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with tag("head"):
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doc.stag("meta", charset="utf-8")
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doc.stag("meta", name="viewport", content="width=device-width, initial-scale=1")
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doc.stag(
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"link",
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rel="stylesheet",
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href="https://www.akpain.net/assets/css/risotto.css",
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)
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doc.stag(
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"link",
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rel="stylesheet",
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href="https://cdn.jsdelivr.net/npm/bootstrap@5.3.3/dist/css/bootstrap.min.css",
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)
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doc.stag(
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"link",
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rel="stylesheet",
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href="https://cdn.jsdelivr.net/npm/simple-datatables@latest/dist/style.css",
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)
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with tag("script", src="https://cdn.jsdelivr.net/npm/simple-datatables@latest"):
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doc.asis("")
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with tag("body"):
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with tag("div", klass="container pt-3"):
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line("a", "[abi abi] $", klass="pe-3", href="https://www.akpain.net")
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line("a", "back to photography", href="https://www.akpain.net/photography/")
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line("h1", "Film Development Price Comparison", klass="pt-2")
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line("p", "This is my attempt to work out the best value for money film developing and scanning service that's available in the UK. Labs are compared as like-for-like as possible, but some variation (especially in scan size) is inevitable.")
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with tag("p"):
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text("If your favourite/local/whatever lab isn't listed here, ")
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line("a", "let me know", href="https://www.akpain.net#contact")
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text(" and I'll add it! Likewise, if you want to see E6, ECN2, half frame, 120 or anything else here, please do tell me.")
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with tag("p"):
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text(
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"Development costs last updated "
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+ datetime.datetime.utcfromtimestamp(raw_data_object["time"]).strftime(
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"%Y-%m-%d %H:%M:%S"
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)
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+ ". Price per pixel figures do not include estimates for outbound or return shipping. "
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)
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line("a", "Raw data available here", href="rawdata.json")
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text(".")
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with tag("div", klass="card", style="width: 18rem;"):
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with tag("div", klass="card-body"):
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line("div", "Contents", klass="card-title", style="font-family: var(--font-monospace)")
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with tag("ul", klass="card-text"):
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for key in entries_by_type:
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chemistry, format, subformat = key
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slug = slugify(chemistry + format + subformat)
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with tag("li"):
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line("a", f"{chemistry} {format} ({subformat})", href=f"#{slug}-title")
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slugs = []
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for key in entries_by_type:
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chemistry, format, subformat = key
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slug = slugify(chemistry + format + subformat)
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slugs.append(slug)
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line(
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"h2",
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f"{chemistry} {format} ({subformat})",
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klass="h3 pt-4",
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id=slug + "-title",
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)
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if key in notes_by_type:
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line("p", notes_by_type[key])
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cols = [
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("lab", lambda x: x["lab"]),
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(
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"outboundShipping",
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lambda x: "×"
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if x["includesSendShipping"].lower() == "no"
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else x["sendShippingType"],
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),
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(
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"returnShipping",
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lambda x: (
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"Free"
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if (c := float(x["returnShippingCost"])) == 0
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else _format_price(c)
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)
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+ f" ({x['returnShippingType']})",
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),
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("cost", lambda x: _format_price(float(x["cost"]))),
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(
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"renderResolution",
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lambda x: f"{x['resolution']} ({repr(x['resolutionName'])})",
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),
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(
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"pricePerPixel",
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lambda x: "{:.5f}p".format(
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float(x["cost"])
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* 100
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/ reduce(
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lambda y, z: y * z,
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map(int, x["resolution"].split("x")),
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1,
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)
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),
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),
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("link", lambda x: _render_line("a", "Link", href=x["url"])),
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]
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# begin working out price per pixel colour scales
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pppfn = None
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for i, item in enumerate(cols):
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if item[0] == "pricePerPixel":
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pppfn = item[1]
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break
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assert pppfn is not None
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pppcolours = {pppfn(data): "" for data in entries_by_type[key]}
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coldiff = (
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int(120 / (len(pppcolours) - 1)) if len(pppcolours) - 1 != 0 else 0
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)
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for i, (val, rawval) in enumerate(
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sorted(
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map(lambda x: (float(x[:-1]), x), pppcolours.keys()),
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key=lambda y: y[0],
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)
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):
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pppcolours[rawval] = f"hsl({120 - (i * coldiff)}, 71%, 73%)"
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# end
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with tag("table", klass="table table-hover", id=slug):
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with tag("thead"):
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with tag("tr"):
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for t, _ in cols:
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line("th", col_titles[t], scope="col")
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with tag("tbody"):
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for data in sorted(
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entries_by_type[key], key=lambda x: x["lab"]
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):
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with tag("tr"):
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for i, (key, fn) in enumerate(cols):
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if i == 0:
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line("th", fn(data), scope="row")
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else:
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with tag("td"):
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val = fn(data)
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doc.asis(val)
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if key == "pricePerPixel":
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doc.attr(
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style="background-color: "
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+ pppcolours[val]
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)
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with tag("script"):
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doc.asis("const slugs = ")
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doc.asis(json.dumps(slugs))
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doc.asis(";\n")
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with open(Path(__file__).resolve().parent / "page.js") as f:
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doc.asis(f.read())
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with tag(
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"script",
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src="https://cdn.jsdelivr.net/npm/bootstrap@5.3.3/dist/js/bootstrap.bundle.min.js",
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):
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doc.asis()
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with open(OUTPUTFILE, "w") as f:
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f.write(doc.getvalue())
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