Sales Trainer v0.1: corporate sales-training simulator (Flask+Vue, 15 personas, chat simulator, judge, analytics)
- Auth/roles (no self-reg), admin user provision, JWT - Analyze: sales kit + initial pain-fit from form/upload - Persona generator: 15 personas (5/tier) w/ pain variety, negotiation, init mode, channel, latent/revealable, wrong_text special - Chat simulator: per-mode initiation, one-shot, hidden signals, judge-LLM debrief+coaching - Trainee loop: win/lose board, weak-areas, user-generated personas - Admin analytics; EN+TH Vue SPA served by Flask - Deploy: Dockerfile, docker-compose, README, eng-log + HANDOFF - Tests (mock LLM): m0/m1/routes/e2e all pass
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46
backend/app/services/file_parser.py
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46
backend/app/services/file_parser.py
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"""File parsing for uploaded documents (pdf / markdown / txt)."""
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from __future__ import annotations
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from pathlib import Path
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class ParseError(Exception):
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pass
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def parse_pdf(path: Path) -> str:
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import fitz # PyMuPDF
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try:
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doc = fitz.open(path)
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except Exception as exc:
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raise ParseError(f"cannot open PDF: {exc}") from exc
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parts = []
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for page in doc:
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parts.append(page.get_text())
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doc.close()
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return "\n".join(parts)
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def parse_text(path: Path) -> str:
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import chardet
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raw = path.read_bytes()
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# Try utf-8 first, else detect encoding
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try:
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return raw.decode("utf-8")
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except UnicodeDecodeError:
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pass
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guess = chardet.detect(raw)
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enc = guess.get("encoding") or "utf-8"
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try:
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return raw.decode(enc, errors="replace")
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except Exception:
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return raw.decode("utf-8", errors="replace")
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def parse_document(path: Path) -> str:
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ext = path.suffix.lower().lstrip(".")
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if ext == "pdf":
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return parse_pdf(path)
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return parse_text(path)
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