pyr0ball
9702646738
Pages were hardcoding DEFAULT_DB at import time, meaning cloud-mode
per-user DB routing was silently ignored. Pages affected:
1_Job_Review, 5_Interviews, 6_Interview_Prep, 7_Survey.
Adds resolve_session("peregrine") + get_db_path() pattern to each,
matching the pattern already used in 4_Apply.py.
Fixes #24.
384 lines
16 KiB
Python
384 lines
16 KiB
Python
# app/pages/6_Interview_Prep.py
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"""
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Interview Prep — a clean, glanceable reference you can keep open during a call.
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Left panel : talking points, company brief, CEO info, practice Q&A
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Right panel : job description, email / contact history, cover letter snippet
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"""
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import sys
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from datetime import date
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from pathlib import Path
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sys.path.insert(0, str(Path(__file__).parent.parent.parent))
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import streamlit as st
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from scripts.user_profile import UserProfile
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_USER_YAML = Path(__file__).parent.parent.parent / "config" / "user.yaml"
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_profile = UserProfile(_USER_YAML) if UserProfile.exists(_USER_YAML) else None
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_name = _profile.name if _profile else "Job Seeker"
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from scripts.db import (
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DEFAULT_DB, init_db,
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get_interview_jobs, get_contacts, get_research,
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get_task_for_job,
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)
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from scripts.task_runner import submit_task
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from app.cloud_session import resolve_session, get_db_path
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resolve_session("peregrine")
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init_db(get_db_path())
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# ── Job selection ─────────────────────────────────────────────────────────────
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jobs_by_stage = get_interview_jobs(get_db_path())
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active_stages = ["phone_screen", "interviewing", "offer"]
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active_jobs = [
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j for stage in active_stages
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for j in jobs_by_stage.get(stage, [])
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]
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if not active_jobs:
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st.title("📋 Interview Prep")
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st.info(
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"No active interviews found. "
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"Move a job to **Phone Screen** on the Interviews page first."
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)
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st.stop()
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# Allow pre-selecting via session state (e.g., from Interviews page)
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preselect_id = st.session_state.pop("prep_job_id", None)
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job_options = {
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j["id"]: f"{j['title']} — {j['company']} ({j['status'].replace('_', ' ').title()})"
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for j in active_jobs
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}
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ids = list(job_options.keys())
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default_idx = ids.index(preselect_id) if preselect_id in ids else 0
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selected_id = st.selectbox(
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"Job",
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options=ids,
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format_func=lambda x: job_options[x],
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index=default_idx,
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label_visibility="collapsed",
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)
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job = next(j for j in active_jobs if j["id"] == selected_id)
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# ── Header bar ────────────────────────────────────────────────────────────────
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stage_label = job["status"].replace("_", " ").title()
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idate = job.get("interview_date")
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countdown = ""
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if idate:
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try:
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delta = (date.fromisoformat(idate) - date.today()).days
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if delta == 0:
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countdown = " 🔴 **TODAY**"
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elif delta == 1:
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countdown = " 🟡 **TOMORROW**"
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elif delta > 0:
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countdown = f" 🟢 in {delta} days"
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else:
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countdown = f" (was {abs(delta)}d ago)"
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except Exception:
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countdown = ""
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st.title(f"📋 {job.get('company')} — {job.get('title')}")
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st.caption(
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f"Stage: **{stage_label}**"
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+ (f" · Interview: {idate}{countdown}" if idate else "")
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+ (f" · Applied: {job.get('applied_at', '')[:10]}" if job.get("applied_at") else "")
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)
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if job.get("url"):
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st.link_button("Open job listing ↗", job["url"])
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st.divider()
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# ── Two-column layout ─────────────────────────────────────────────────────────
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col_prep, col_context = st.columns([2, 3])
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# ════════════════════════════════════════════════
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# LEFT — prep materials
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# ════════════════════════════════════════════════
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with col_prep:
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research = get_research(get_db_path(), job_id=selected_id)
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# Refresh / generate research
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_res_task = get_task_for_job(get_db_path(), "company_research", selected_id)
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_res_running = _res_task and _res_task["status"] in ("queued", "running")
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if not research:
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if not _res_running:
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st.warning("No research brief yet for this job.")
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if _res_task and _res_task["status"] == "failed":
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st.error(f"Last attempt failed: {_res_task.get('error', '')}")
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if st.button("🔬 Generate research brief", type="primary", use_container_width=True):
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submit_task(get_db_path(), "company_research", selected_id)
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st.rerun()
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if _res_running:
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@st.fragment(run_every=3)
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def _res_status_initial():
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t = get_task_for_job(get_db_path(), "company_research", selected_id)
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if t and t["status"] in ("queued", "running"):
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stage = t.get("stage") or ""
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lbl = "Queued…" if t["status"] == "queued" else (stage or "Generating… this may take 30–60 seconds")
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st.info(f"⏳ {lbl}")
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else:
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st.rerun()
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_res_status_initial()
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st.stop()
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else:
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generated_at = research.get("generated_at", "")
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col_ts, col_btn = st.columns([3, 1])
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col_ts.caption(f"Research generated: {generated_at}")
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if col_btn.button("🔄 Refresh", use_container_width=True, disabled=bool(_res_running)):
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submit_task(get_db_path(), "company_research", selected_id)
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st.rerun()
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if _res_running:
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@st.fragment(run_every=3)
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def _res_status_refresh():
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t = get_task_for_job(get_db_path(), "company_research", selected_id)
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if t and t["status"] in ("queued", "running"):
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stage = t.get("stage") or ""
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lbl = "Queued…" if t["status"] == "queued" else (stage or "Refreshing research…")
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st.info(f"⏳ {lbl}")
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else:
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st.rerun()
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_res_status_refresh()
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elif _res_task and _res_task["status"] == "failed":
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st.error(f"Refresh failed: {_res_task.get('error', '')}")
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st.divider()
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# ── Talking points (top — most useful during a call) ──────────────────────
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st.subheader("🎯 Talking Points")
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tp = (research.get("talking_points") or "").strip()
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if tp:
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st.markdown(tp)
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else:
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st.caption("_No talking points extracted — try regenerating._")
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st.divider()
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# ── Company brief ─────────────────────────────────────────────────────────
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st.subheader("🏢 Company Overview")
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st.markdown(research.get("company_brief", "_—_"))
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st.divider()
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# ── Leadership brief ──────────────────────────────────────────────────────
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st.subheader("👤 Leadership & Culture")
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st.markdown(research.get("ceo_brief", "_—_"))
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st.divider()
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# ── Tech Stack & Product ───────────────────────────────────────────────────
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tech = (research.get("tech_brief") or "").strip()
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if tech:
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st.subheader("⚙️ Tech Stack & Product")
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st.markdown(tech)
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st.divider()
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# ── Funding & Market Position ──────────────────────────────────────────────
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funding = (research.get("funding_brief") or "").strip()
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if funding:
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st.subheader("💰 Funding & Market Position")
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st.markdown(funding)
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st.divider()
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# ── Red Flags & Watch-outs ────────────────────────────────────────────────
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red = (research.get("red_flags") or "").strip()
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if red and "no significant red flags" not in red.lower():
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st.subheader("⚠️ Red Flags & Watch-outs")
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st.warning(red)
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st.divider()
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# ── Inclusion & Accessibility ─────────────────────────────────────────────
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access = (research.get("accessibility_brief") or "").strip()
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if access:
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st.subheader("♿ Inclusion & Accessibility")
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st.caption("For your personal evaluation — not disclosed in any application.")
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st.markdown(access)
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st.divider()
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# ── Practice Q&A (collapsible — use before the call) ─────────────────────
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with st.expander("🎤 Practice Q&A (pre-call prep)", expanded=False):
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st.caption(
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"The LLM will play the interviewer. Type your answers below. "
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"Use this before the call to warm up."
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)
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qa_key = f"qa_{selected_id}"
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if qa_key not in st.session_state:
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st.session_state[qa_key] = []
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if st.button("🔄 Start / Reset session", key=f"qa_reset_{selected_id}"):
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st.session_state[qa_key] = []
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st.rerun()
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# Display history
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for msg in st.session_state[qa_key]:
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with st.chat_message(msg["role"]):
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st.markdown(msg["content"])
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# Initial question if session is empty
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import os as _os
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_is_demo = _os.environ.get("DEMO_MODE", "").lower() in ("1", "true", "yes")
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if not st.session_state[qa_key] and _is_demo:
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st.info("AI features are disabled in the public demo. Run your own instance to use Practice Q&A.")
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elif not st.session_state[qa_key]:
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with st.spinner("Setting up your mock interview…"):
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try:
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from scripts.llm_router import complete
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opening = complete(
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prompt=(
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f"Start a mock phone screen for the {job.get('title')} "
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f"role at {job.get('company')}. Ask your first question. "
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f"Keep it realistic and concise."
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),
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system=(
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f"You are a recruiter at {job.get('company')} conducting "
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f"a phone screen for the {job.get('title')} role. "
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f"Ask one question at a time. After {_name} answers, give "
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f"brief feedback (1–2 sentences), then ask your next question. "
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f"Be professional but warm."
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),
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)
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st.session_state[qa_key] = [{"role": "assistant", "content": opening}]
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st.rerun()
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except Exception as e:
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st.error(f"LLM error: {e}")
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# Answer input
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answer = st.chat_input("Your answer…", key=f"qa_input_{selected_id}")
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if answer and st.session_state[qa_key]:
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history = st.session_state[qa_key]
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history.append({"role": "user", "content": answer})
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messages = [
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{
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"role": "system",
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"content": (
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f"You are a recruiter at {job.get('company')} conducting "
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f"a phone screen for the {job.get('title')} role. "
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f"Ask one question at a time. After {_name} answers, give "
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f"brief feedback (1–2 sentences), then ask your next question."
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),
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}
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] + history
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with st.spinner("…"):
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try:
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from scripts.llm_router import LLMRouter
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router = LLMRouter()
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# Build prompt from history for single-turn backends
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convo = "\n\n".join(
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f"{'Interviewer' if m['role'] == 'assistant' else _name}: {m['content']}"
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for m in history
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)
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response = router.complete(
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prompt=convo + "\n\nInterviewer:",
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system=messages[0]["content"],
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)
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history.append({"role": "assistant", "content": response})
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st.session_state[qa_key] = history
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st.rerun()
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except Exception as e:
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st.error(f"Error: {e}")
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# ════════════════════════════════════════════════
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# RIGHT — context / reference
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# ════════════════════════════════════════════════
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with col_context:
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tab_jd, tab_emails, tab_letter = st.tabs(
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["📄 Job Description", "📧 Email History", "📝 Cover Letter"]
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)
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with tab_jd:
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score = job.get("match_score")
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if score is not None:
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badge = (
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f"🟢 {score:.0f}% match" if score >= 70 else
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f"🟡 {score:.0f}% match" if score >= 40 else
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f"🔴 {score:.0f}% match"
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)
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st.caption(badge)
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if job.get("keyword_gaps"):
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st.caption(f"**Gaps to address:** {job['keyword_gaps']}")
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st.markdown(job.get("description") or "_No description saved for this listing._")
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with tab_emails:
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contacts = get_contacts(get_db_path(), job_id=selected_id)
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if not contacts:
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st.info("No contacts logged yet. Use the Interviews page to log emails.")
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else:
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for c in contacts:
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icon = "📥" if c["direction"] == "inbound" else "📤"
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recv = (c.get("received_at") or "")[:10]
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st.markdown(
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f"{icon} **{c.get('subject') or '(no subject)'}** · _{recv}_"
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)
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if c.get("from_addr"):
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st.caption(f"From: {c['from_addr']}")
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if c.get("body"):
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st.text(c["body"][:500] + ("…" if len(c["body"]) > 500 else ""))
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st.divider()
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# Quick draft reply
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inbound = [c for c in contacts if c["direction"] == "inbound"]
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if inbound:
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last = inbound[-1]
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if st.button("✍️ Draft reply to last email"):
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with st.spinner("Drafting…"):
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try:
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from scripts.llm_router import complete
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draft = complete(
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prompt=(
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f"Draft a professional, warm reply.\n\n"
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f"From: {last.get('from_addr', '')}\n"
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f"Subject: {last.get('subject', '')}\n\n"
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f"{last.get('body', '')}\n\n"
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f"Context: {_name} is a professional applying "
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f"for {job.get('title')} at {job.get('company')}."
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),
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system=(
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f"You are {_name}'s professional email assistant. "
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"Write concise, warm, and professional replies in their voice."
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),
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)
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st.session_state[f"draft_{selected_id}"] = draft
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except Exception as e:
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st.error(f"Draft failed: {e}")
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if f"draft_{selected_id}" in st.session_state:
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st.text_area(
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"Draft (edit before sending)",
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value=st.session_state[f"draft_{selected_id}"],
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height=180,
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)
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with tab_letter:
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cl = (job.get("cover_letter") or "").strip()
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if cl:
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st.markdown(cl)
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else:
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st.info("No cover letter saved for this job.")
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st.divider()
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# ── Notes (freeform, stored in session only — not persisted to DB) ────────
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st.subheader("📝 Call Notes")
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st.caption("Notes are per-session only — copy anything important before navigating away.")
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st.text_area(
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"notes",
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placeholder="Type notes during or after the call…",
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height=200,
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key=f"notes_{selected_id}",
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label_visibility="collapsed",
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)
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