11d0178ab1
Adds the full Next.js app (app/, components/, lib/, scripts/, assets/, docs/, Dockerfile, compose, configs) to version control. Security: - CIPC BizPortal customer-code logins (Login 1 + Login 3) now read CIPC_LOGIN1_CODE / CIPC_LOGIN1_PASSWORD / CIPC_LOGIN3_CODE / CIPC_LOGIN3_PASSWORD from .env.local instead of source. - BizPortal personal login in apply-bizportal route reads BIZPORTAL_ID_NO / BIZPORTAL_PASSWORD. - Added .env.example as the committed template. .gitignore excludes .env*, node_modules, .next, logs, sqlite, Playwright storage_state.json (live CIPC cookies), scratch dirs, client PDFs and debug screenshots.
86 lines
No EOL
3.1 KiB
Python
86 lines
No EOL
3.1 KiB
Python
"""Decisive test: does a file contain embedded signature IMAGES?
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Text extraction can't tell a signed scan from a blank template — both have the
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same text layer. Embedded image XObjects can: a scanned signature leaves an
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image where the template has bare underscores.
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"""
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import io
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import urllib.parse
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import urllib.request
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from pathlib import Path
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from pypdf import PdfReader
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JEI = Path(r"C:\Users\SJ\.minimax-agent\projects\JEI")
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env = {}
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for line in (JEI / ".env.local").read_text(encoding="utf-8").splitlines():
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line = line.strip()
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if line and not line.startswith("#") and "=" in line:
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k, v = line.split("=", 1)
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env[k.strip()] = v.strip().strip('"').strip("'")
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PB = env.get("NEXT_PUBLIC_PB_URL") or env["PB_URL"]
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TOK = env["PB_TOKEN"]
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FILES = [
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("LOCAL UFC - Shareholders Resolution ... (attached)",
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None,
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r"C:\Users\SJ\.minimax\v2\assets\2026\10\12\13-41-56-012-asset_20261012-134156-012_a0299b3ae338_88b7c484-UFC - Shareholders Resolution Director Sune Resigned.pdf"),
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("LOCAL UFC - Sune Resignation Letter (attached)",
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None,
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r"C:\Users\SJ\.minimax\v2\assets\2026\10\12\13-41-56-017-asset_20261012-134156-017_9aec1b4380ba_261a3e6b-UFC - Sune Resignation Letter.pdf"),
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("STORED resolution.signed_letter", ("pbc_266170881", "e0dbxprazb70rqx", "corrected_v2_avwpnq7o93.pdf"), None),
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("STORED resignation.letter", ("ysterbaard_director_resignations", "8cfie18uhgy0n0o",
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"resignation_letter_the_ultimate_fuel_company_1jk8t34nf3.pdf"), None),
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("STORED resignation.signature", ("ysterbaard_director_resignations", "8cfie18uhgy0n0o",
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"tbde1evt2m6_8mz8kutpki.pdf"), None),
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]
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def count_images(reader) -> int:
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n = 0
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for page in reader.pages:
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try:
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n += len(page.images)
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except Exception:
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pass
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return n
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def has_annot_sig(reader) -> int:
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n = 0
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for page in reader.pages:
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try:
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for a in page.get("/Annots") or []:
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obj = a.get_object()
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if obj.get("/Subtype") == "/Widget" or obj.get("/FT") == "/Sig":
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n += 1
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except Exception:
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pass
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return n
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for label, pb, path in FILES:
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if pb:
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col, rid, fname = pb
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url = f"{PB}/api/files/{col}/{rid}/{urllib.parse.quote(fname)}"
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req = urllib.request.Request(url, headers={"Authorization": TOK})
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with urllib.request.urlopen(req, timeout=120) as r:
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b = r.read()
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else:
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b = Path(path).read_bytes()
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rd = PdfReader(io.BytesIO(b))
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imgs = count_images(rd)
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sigs = has_annot_sig(rd)
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# Look for signature-ish words in the text layer
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txt = " ".join((p.extract_text() or "") for p in rd.pages).lower()
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markers = []
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for m in ("approved by", "signed at", "signature", "signed"):
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if m in txt:
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markers.append(m)
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print(f"{label}")
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print(f" size={len(b):>8} B pages={len(rd.pages)} images={imgs} digital-sig-widgets={sigs}")
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print(f" text markers present: {markers}")
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print()
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print("VERDICT: images==0 on every file => none of these contain a scanned")
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print("signature; all are blank templates with signature lines only.") |