c3d31c06e2
- 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
63 lines
2.9 KiB
Markdown
63 lines
2.9 KiB
Markdown
# HANDOFF — Sales Trainer
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> Another AI should be able to resume without chat history.
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## Branch / repo
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- Repo: `~/Gitea/Sales Trainer/` (local git initialized; **no remote yet**).
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- Branch: `main` (default).
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## What this is
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Corporate multi-user sales-training simulator. Vue SPA + Flask API + filesystem JSON storage.
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Admins build persona groups from a product (form + upload); trainees chat one-shot against
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generated customer personas to practice closing; judge-LLM scores + coaches.
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## Current state — COMPLETE (M0–M7), prototype verified with mock LLM
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All backend + frontend built. All 4 backend test suites pass. Frontend builds. Live HTTP smoke
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test passes (SPA served, login, group create, register->404).
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## Verified commands
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```bash
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# Backend tests (mock LLM, no key needed)
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cd backend
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uv run python scripts/test_m0.py # auth/roles/no-self-reg
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uv run python scripts/test_m1.py # group create + role visibility
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uv run python scripts/test_routes.py # 21 routes registered
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uv run python scripts/test_e2e.py # full flow (analyze->personas->chat->debrief->one-shot->board->analytics)
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# Run backend
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cd backend && uv run python run.py # Flask :5001 (serves built frontend from frontend/dist)
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# Frontend dev
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cd frontend && npm install && npm run dev # Vite :3000 proxying /api -> :5001
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# Frontend build
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cd frontend && npm run build # outputs frontend/dist
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```
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## Default account
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- super_admin: `admin@salestrainer.local` / `admin123` (bootstrap; change in prod).
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## Key gotchas
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1. **Do NOT invoke `.venv/bin/python <script>` directly** — the tool lifecycle guard crashes
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("embedded null byte"). Always: `uv run python scripts/<name>.py`.
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2. LLM creds in `.env` (backend/.env for local; root `.env` for compose). `LLM_API_KEY=replace_me`
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is a placeholder → LLM is None → analyze/chat return 500 "LLM not configured".
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3. SPA fallback in `app/factory._register_frontend` accepts all HTTP methods and 404s `/api/*`
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so no-self-registration holds.
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## Blockers / open items
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- **Real-LLM E2E not yet run** (needs a live API key). This is the #1 item.
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- Docker image not built locally (no Docker on this Mac). Validate on EasyPanel.
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- No git remote set (Gitea).
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## Exact next actions
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1. Set real `LLM_PROVIDER` + `LLM_API_KEY` (and optionally base/model) in `backend/.env`.
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2. Run a live smoke test: login → create group → analyze → pick persona → chat a few turns → finish → read debrief; confirm judge produces sane output (this exercises real analyzer/persona/chat/judge).
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3. Fix any real-model issues surfaced (prompt drift, JSON parsing).
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4. Add Gitea remote + push. Optionally wire Gitea Actions / EasyPanel deploy.
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5. If EasyPanel: build from root `Dockerfile`, set env vars, map port 5001.
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## Docs
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- `docs/PLAN.md` — full design + all confirmed decisions & open questions.
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- `docs/engineering-log.md` + `docs/engineering-log/2026-08-07-build-out.md` — milestone record.
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- `README.md` — quick start, accounts, tests, LLM config.
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