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.
80 lines
No EOL
2.9 KiB
Python
80 lines
No EOL
2.9 KiB
Python
"""Byte hashes already proved the stored files are all distinct. This compares
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their TEXT so we can say whether the stored resignation letter is simply an
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older render of the same letter the user just attached.
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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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LOCAL = {
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"LOCAL: UFC - Shareholders Resolution Director Sune Resigned.pdf":
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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.pdf":
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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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}
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STORED = [
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("STORED resolution.signed_letter", "pbc_266170881", "e0dbxprazb70rqx", "corrected_v2_avwpnq7o93.pdf"),
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("STORED resignation.letter", "ysterbaard_director_resignations", "8cfie18uhgy0n0o",
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"resignation_letter_the_ultimate_fuel_company_1jk8t34nf3.pdf"),
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("STORED resignation.signature", "ysterbaard_director_resignations", "8cfie18uhgy0n0o",
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"tbde1evt2m6_8mz8kutpki.pdf"),
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]
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def text_of(b: bytes) -> str:
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try:
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r = PdfReader(io.BytesIO(b))
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return "\n".join((p.extract_text() or "") for p in r.pages)
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except Exception as e:
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return f"<<unreadable: {e}>>"
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def norm(s: str) -> str:
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return " ".join(s.split()).lower()
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texts = {}
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for label, path in LOCAL.items():
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b = Path(path).read_bytes()
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texts[label] = (norm(text_of(b)), len(b))
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print(f"{label}\n {len(b):>8} B chars={len(texts[label][0])}")
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print()
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for label, col, rid, fname in STORED:
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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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texts[label] = (norm(text_of(b)), len(b))
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print(f"{label}\n {len(b):>8} B chars={len(texts[label][0])}")
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print("\n=== TEXT SIMILARITY (fraction of the shorter text found in the longer) ===")
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import difflib
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labels = list(texts)
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for i in range(len(labels)):
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for j in range(i + 1, len(labels)):
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a, b = texts[labels[i]][0], texts[labels[j]][0]
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if not a or not b:
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continue
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ratio = difflib.SequenceMatcher(None, a, b).ratio()
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print(f" {ratio * 100:5.1f}% {labels[i]} <-> {labels[j]}")
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print("\n=== FIRST 400 CHARS OF EACH ===")
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for label in labels:
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t = texts[label][0]
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print(f"\n--- {label}\n{t[:400]}") |