pyr0ball
d68754d432
Scrape → Store → Process pipeline for building email classifier
benchmark data across the CircuitForge menagerie.
- app/label_tool.py — Streamlit card-stack UI, multi-account IMAP fetch,
6-bucket labeling, undo/skip, keyboard shortcuts (1-6/S/U)
- scripts/classifier_adapters.py — ZeroShotAdapter (+ two_pass),
GLiClassAdapter, RerankerAdapter; ABC with lazy model loading
- scripts/benchmark_classifier.py — 13-model registry, --score,
--compare, --list-models, --export-db; uses label_tool.yaml for IMAP
- tests/ — 20 tests, all passing, zero model downloads required
- config/label_tool.yaml.example — multi-account IMAP template
- data/email_score.jsonl.example — sample labeled data for CI
Labels: interview_scheduled, offer_received, rejected,
positive_response, survey_received, neutral
568 lines
22 KiB
Python
568 lines
22 KiB
Python
"""Email Label Tool — card-stack UI for building classifier benchmark data.
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Philosophy: Scrape → Store → Process
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Fetch (IMAP, wide search, multi-account) → data/email_label_queue.jsonl
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Label (card stack) → data/email_score.jsonl
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Run:
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conda run -n job-seeker streamlit run app/label_tool.py --server.port 8503
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Config: config/label_tool.yaml (gitignored — see config/label_tool.yaml.example)
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"""
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from __future__ import annotations
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import email as _email_lib
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import hashlib
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import imaplib
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import json
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import sys
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from datetime import datetime, timedelta
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from email.header import decode_header as _raw_decode
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from pathlib import Path
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from typing import Any
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import streamlit as st
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import yaml
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# ── Path setup ─────────────────────────────────────────────────────────────
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_ROOT = Path(__file__).parent.parent
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sys.path.insert(0, str(_ROOT))
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_QUEUE_FILE = _ROOT / "data" / "email_label_queue.jsonl"
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_SCORE_FILE = _ROOT / "data" / "email_score.jsonl"
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_CFG_FILE = _ROOT / "config" / "label_tool.yaml"
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# ── Labels ─────────────────────────────────────────────────────────────────
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LABELS = [
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"interview_scheduled",
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"offer_received",
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"rejected",
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"positive_response",
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"survey_received",
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"neutral",
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]
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_LABEL_META: dict[str, dict] = {
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"interview_scheduled": {"emoji": "🗓️", "color": "#4CAF50", "key": "1"},
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"offer_received": {"emoji": "🎉", "color": "#2196F3", "key": "2"},
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"rejected": {"emoji": "❌", "color": "#F44336", "key": "3"},
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"positive_response": {"emoji": "👍", "color": "#FF9800", "key": "4"},
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"survey_received": {"emoji": "📋", "color": "#9C27B0", "key": "5"},
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"neutral": {"emoji": "⬜", "color": "#607D8B", "key": "6"},
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}
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# ── Wide IMAP search terms (cast a net across all 6 categories) ─────────────
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_WIDE_TERMS = [
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# interview_scheduled
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"interview", "phone screen", "video call", "zoom link", "schedule a call",
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# offer_received
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"offer letter", "job offer", "offer of employment", "pleased to offer",
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# rejected
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"unfortunately", "not moving forward", "other candidates", "regret to inform",
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"no longer", "decided not to", "decided to go with",
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# positive_response
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"opportunity", "interested in your background", "reached out", "great fit",
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"exciting role", "love to connect",
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# survey_received
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"assessment", "questionnaire", "culture fit", "culture-fit", "online assessment",
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# neutral / ATS confirms
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"application received", "thank you for applying", "application confirmation",
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"you applied", "your application for",
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# general recruitment
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"application", "recruiter", "recruiting", "hiring", "candidate",
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]
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# ── IMAP helpers ────────────────────────────────────────────────────────────
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def _decode_str(value: str | None) -> str:
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if not value:
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return ""
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parts = _raw_decode(value)
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out = []
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for part, enc in parts:
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if isinstance(part, bytes):
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out.append(part.decode(enc or "utf-8", errors="replace"))
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else:
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out.append(str(part))
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return " ".join(out).strip()
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def _extract_body(msg: Any) -> str:
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if msg.is_multipart():
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for part in msg.walk():
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if part.get_content_type() == "text/plain":
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try:
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charset = part.get_content_charset() or "utf-8"
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return part.get_payload(decode=True).decode(charset, errors="replace")
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except Exception:
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pass
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else:
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try:
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charset = msg.get_content_charset() or "utf-8"
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return msg.get_payload(decode=True).decode(charset, errors="replace")
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except Exception:
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pass
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return ""
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def _fetch_account(cfg: dict, days: int, limit: int, known_keys: set[str],
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progress_cb=None) -> list[dict]:
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"""Fetch emails from one IMAP account using wide recruitment search terms."""
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since = (datetime.now() - timedelta(days=days)).strftime("%d-%b-%Y")
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host = cfg.get("host", "imap.gmail.com")
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port = int(cfg.get("port", 993))
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use_ssl = cfg.get("use_ssl", True)
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username = cfg["username"]
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password = cfg["password"]
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name = cfg.get("name", username)
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conn = (imaplib.IMAP4_SSL if use_ssl else imaplib.IMAP4)(host, port)
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conn.login(username, password)
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seen_uids: dict[bytes, None] = {}
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conn.select("INBOX", readonly=True)
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for term in _WIDE_TERMS:
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try:
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_, data = conn.search(None, f'(SUBJECT "{term}" SINCE "{since}")')
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for uid in (data[0] or b"").split():
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seen_uids[uid] = None
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except Exception:
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pass
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emails: list[dict] = []
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uids = list(seen_uids.keys())[:limit * 3] # overfetch; filter after dedup
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for i, uid in enumerate(uids):
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if len(emails) >= limit:
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break
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if progress_cb:
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progress_cb(i / len(uids), f"{name}: {len(emails)} fetched…")
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try:
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_, raw_data = conn.fetch(uid, "(RFC822)")
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if not raw_data or not raw_data[0]:
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continue
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msg = _email_lib.message_from_bytes(raw_data[0][1])
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subj = _decode_str(msg.get("Subject", ""))
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from_addr = _decode_str(msg.get("From", ""))
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date = _decode_str(msg.get("Date", ""))
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body = _extract_body(msg)[:800]
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entry = {
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"subject": subj,
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"body": body,
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"from_addr": from_addr,
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"date": date,
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"account": name,
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}
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key = _entry_key(entry)
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if key not in known_keys:
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known_keys.add(key)
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emails.append(entry)
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except Exception:
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pass
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try:
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conn.logout()
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except Exception:
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pass
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return emails
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# ── Queue / score file helpers ───────────────────────────────────────────────
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def _entry_key(e: dict) -> str:
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return hashlib.md5(
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(e.get("subject", "") + (e.get("body") or "")[:100]).encode()
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).hexdigest()
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def _load_jsonl(path: Path) -> list[dict]:
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if not path.exists():
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return []
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rows = []
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with path.open() as f:
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for line in f:
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line = line.strip()
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if line:
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try:
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rows.append(json.loads(line))
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except Exception:
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pass
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return rows
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def _save_jsonl(path: Path, rows: list[dict]) -> None:
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path.parent.mkdir(parents=True, exist_ok=True)
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with path.open("w") as f:
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for row in rows:
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f.write(json.dumps(row, ensure_ascii=False) + "\n")
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def _append_jsonl(path: Path, row: dict) -> None:
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path.parent.mkdir(parents=True, exist_ok=True)
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with path.open("a") as f:
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f.write(json.dumps(row, ensure_ascii=False) + "\n")
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# ── Config ──────────────────────────────────────────────────────────────────
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def _load_config() -> list[dict]:
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if not _CFG_FILE.exists():
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return []
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cfg = yaml.safe_load(_CFG_FILE.read_text()) or {}
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return cfg.get("accounts", [])
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# ── Page setup ──────────────────────────────────────────────────────────────
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st.set_page_config(
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page_title="Avocet — Email Labeler",
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page_icon="📬",
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layout="wide",
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)
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st.markdown("""
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<style>
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/* Card stack */
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.email-card {
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border: 1px solid rgba(128,128,128,0.25);
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border-radius: 14px;
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padding: 28px 32px;
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box-shadow: 0 6px 24px rgba(0,0,0,0.18);
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margin-bottom: 4px;
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position: relative;
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}
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.card-stack-hint {
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height: 10px;
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border-radius: 0 0 12px 12px;
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border: 1px solid rgba(128,128,128,0.15);
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margin: 0 16px;
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box-shadow: 0 4px 12px rgba(0,0,0,0.10);
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}
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.card-stack-hint2 {
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height: 8px;
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border-radius: 0 0 10px 10px;
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border: 1px solid rgba(128,128,128,0.08);
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margin: 0 32px;
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}
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/* Subject line */
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.card-subject { font-size: 1.3rem; font-weight: 700; margin-bottom: 6px; }
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.card-meta { font-size: 0.82rem; opacity: 0.6; margin-bottom: 16px; }
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.card-body { font-size: 0.92rem; opacity: 0.85; white-space: pre-wrap; line-height: 1.5; }
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/* Bucket buttons */
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div[data-testid="stButton"] > button.bucket-btn {
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height: 70px;
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font-size: 1.05rem;
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font-weight: 600;
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border-radius: 12px;
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}
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</style>
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""", unsafe_allow_html=True)
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st.title("📬 Avocet — Email Label Tool")
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st.caption("Scrape → Store → Process | card-stack edition")
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# ── Session state init ───────────────────────────────────────────────────────
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if "queue" not in st.session_state:
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st.session_state.queue: list[dict] = _load_jsonl(_QUEUE_FILE)
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if "labeled" not in st.session_state:
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st.session_state.labeled: list[dict] = _load_jsonl(_SCORE_FILE)
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st.session_state.labeled_keys: set[str] = {
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_entry_key(r) for r in st.session_state.labeled
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}
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if "idx" not in st.session_state:
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# Start past already-labeled entries in the queue
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labeled_keys = st.session_state.labeled_keys
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for i, entry in enumerate(st.session_state.queue):
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if _entry_key(entry) not in labeled_keys:
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st.session_state.idx = i
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break
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else:
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st.session_state.idx = len(st.session_state.queue)
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if "history" not in st.session_state:
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st.session_state.history: list[tuple[int, str]] = [] # (queue_idx, label)
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# ── Sidebar stats ────────────────────────────────────────────────────────────
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with st.sidebar:
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labeled = st.session_state.labeled
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queue = st.session_state.queue
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unlabeled = [e for e in queue if _entry_key(e) not in st.session_state.labeled_keys]
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st.metric("✅ Labeled", len(labeled))
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st.metric("📥 Queue", len(unlabeled))
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if labeled:
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st.caption("**Label distribution**")
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counts = {lbl: 0 for lbl in LABELS}
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for r in labeled:
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counts[r.get("label", "")] = counts.get(r.get("label", ""), 0) + 1
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for lbl in LABELS:
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m = _LABEL_META[lbl]
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st.caption(f"{m['emoji']} {lbl}: **{counts[lbl]}**")
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# ── Tabs ─────────────────────────────────────────────────────────────────────
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tab_label, tab_fetch, tab_stats = st.tabs(["🃏 Label", "📥 Fetch", "📊 Stats"])
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# ══════════════════════════════════════════════════════════════════════════════
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# FETCH TAB
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# ══════════════════════════════════════════════════════════════════════════════
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with tab_fetch:
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accounts = _load_config()
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if not accounts:
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st.warning(
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f"No accounts configured. Copy `config/label_tool.yaml.example` → "
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f"`config/label_tool.yaml` and add your IMAP accounts.",
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icon="⚠️",
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)
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else:
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st.markdown(f"**{len(accounts)} account(s) configured:**")
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for acc in accounts:
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st.caption(f"• {acc.get('name', acc.get('username'))} ({acc.get('host')})")
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col_days, col_limit = st.columns(2)
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days = col_days.number_input("Days back", min_value=7, max_value=730, value=180)
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limit = col_limit.number_input("Max emails per account", min_value=10, max_value=1000, value=150)
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all_accs = [a.get("name", a.get("username")) for a in accounts]
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selected = st.multiselect("Accounts to fetch", all_accs, default=all_accs)
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if st.button("📥 Fetch from IMAP", disabled=not accounts or not selected, type="primary"):
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existing_keys = {_entry_key(e) for e in st.session_state.queue}
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existing_keys.update(st.session_state.labeled_keys)
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fetched_all: list[dict] = []
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status = st.status("Fetching…", expanded=True)
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for acc in accounts:
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name = acc.get("name", acc.get("username"))
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if name not in selected:
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continue
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status.write(f"Connecting to **{name}**…")
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try:
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emails = _fetch_account(
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acc, days=int(days), limit=int(limit),
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known_keys=existing_keys,
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progress_cb=lambda p, msg: status.write(msg),
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)
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fetched_all.extend(emails)
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status.write(f"✓ {name}: {len(emails)} new emails")
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except Exception as e:
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status.write(f"✗ {name}: {e}")
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if fetched_all:
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_save_jsonl(_QUEUE_FILE, st.session_state.queue + fetched_all)
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st.session_state.queue = _load_jsonl(_QUEUE_FILE)
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# Reset idx to first unlabeled
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labeled_keys = st.session_state.labeled_keys
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for i, entry in enumerate(st.session_state.queue):
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if _entry_key(entry) not in labeled_keys:
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st.session_state.idx = i
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break
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status.update(label=f"Done — {len(fetched_all)} new emails added to queue", state="complete")
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else:
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status.update(label="No new emails found (all already in queue or score file)", state="complete")
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# ══════════════════════════════════════════════════════════════════════════════
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# LABEL TAB
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# ══════════════════════════════════════════════════════════════════════════════
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with tab_label:
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queue = st.session_state.queue
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labeled_keys = st.session_state.labeled_keys
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idx = st.session_state.idx
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# Advance idx past already-labeled entries
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while idx < len(queue) and _entry_key(queue[idx]) in labeled_keys:
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idx += 1
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st.session_state.idx = idx
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unlabeled = [e for e in queue if _entry_key(e) not in labeled_keys]
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total_in_queue = len(queue)
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n_labeled = len(st.session_state.labeled)
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if not queue:
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st.info("Queue is empty — go to **Fetch** to pull emails from IMAP.", icon="📥")
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elif not unlabeled:
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st.success(
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f"🎉 All {n_labeled} emails labeled! Go to **Stats** to review and export.",
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icon="✅",
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)
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else:
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# Progress
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labeled_in_queue = total_in_queue - len(unlabeled)
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progress_pct = labeled_in_queue / total_in_queue if total_in_queue else 0
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st.progress(progress_pct, text=f"{labeled_in_queue} / {total_in_queue} labeled in queue")
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# Current email
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entry = queue[idx]
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# Card HTML
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subj = entry.get("subject", "(no subject)") or "(no subject)"
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from_ = entry.get("from_addr", "") or ""
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date_ = entry.get("date", "") or ""
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acct = entry.get("account", "") or ""
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body = (entry.get("body") or "").strip()
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st.markdown(
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f"""<div class="email-card">
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<div class="card-meta">{from_} · {date_[:16]} · <em>{acct}</em></div>
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<div class="card-subject">{subj}</div>
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<div class="card-body">{body[:500].replace(chr(10), '<br>')}</div>
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</div>""",
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unsafe_allow_html=True,
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)
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if len(body) > 500:
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with st.expander("Show full body"):
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st.text(body)
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# Stack hint (visual depth)
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st.markdown('<div class="card-stack-hint"></div>', unsafe_allow_html=True)
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st.markdown('<div class="card-stack-hint2"></div>', unsafe_allow_html=True)
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st.markdown("") # spacer
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# ── Bucket buttons ────────────────────────────────────────────────
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def _do_label(label: str) -> None:
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row = {"subject": entry.get("subject", ""), "body": body[:600], "label": label}
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st.session_state.labeled.append(row)
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st.session_state.labeled_keys.add(_entry_key(entry))
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_append_jsonl(_SCORE_FILE, row)
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st.session_state.history.append((idx, label))
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# Advance
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next_idx = idx + 1
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while next_idx < len(queue) and _entry_key(queue[next_idx]) in labeled_keys:
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next_idx += 1
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st.session_state.idx = next_idx
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row1_cols = st.columns(3)
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row2_cols = st.columns(3)
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bucket_pairs = [
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(row1_cols[0], "interview_scheduled"),
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(row1_cols[1], "offer_received"),
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(row1_cols[2], "rejected"),
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(row2_cols[0], "positive_response"),
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(row2_cols[1], "survey_received"),
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(row2_cols[2], "neutral"),
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]
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for col, lbl in bucket_pairs:
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m = _LABEL_META[lbl]
|
||
counts = {l: 0 for l in LABELS}
|
||
for r in st.session_state.labeled:
|
||
counts[r.get("label", "")] = counts.get(r.get("label", ""), 0) + 1
|
||
label_display = f"{m['emoji']} **{lbl}** [{counts[lbl]}]\n`{m['key']}`"
|
||
if col.button(label_display, key=f"lbl_{lbl}", use_container_width=True):
|
||
_do_label(lbl)
|
||
st.rerun()
|
||
|
||
# ── Navigation ────────────────────────────────────────────────────
|
||
st.markdown("")
|
||
nav_cols = st.columns([2, 1, 1])
|
||
|
||
remaining = len(unlabeled) - 1
|
||
nav_cols[0].caption(f"**{remaining}** remaining · Keys: 1–6 = label, S = skip, U = undo")
|
||
|
||
if nav_cols[1].button("↩ Undo", disabled=not st.session_state.history, use_container_width=True):
|
||
prev_idx, prev_label = st.session_state.history.pop()
|
||
# Remove the last labeled entry
|
||
if st.session_state.labeled:
|
||
removed = st.session_state.labeled.pop()
|
||
st.session_state.labeled_keys.discard(_entry_key(removed))
|
||
_save_jsonl(_SCORE_FILE, st.session_state.labeled)
|
||
st.session_state.idx = prev_idx
|
||
st.rerun()
|
||
|
||
if nav_cols[2].button("→ Skip", use_container_width=True):
|
||
next_idx = idx + 1
|
||
while next_idx < len(queue) and _entry_key(queue[next_idx]) in labeled_keys:
|
||
next_idx += 1
|
||
st.session_state.idx = next_idx
|
||
st.rerun()
|
||
|
||
# Keyboard shortcut capture (JS → hidden button click)
|
||
st.components.v1.html(
|
||
"""<script>
|
||
document.addEventListener('keydown', function(e) {
|
||
if (e.target.tagName === 'INPUT' || e.target.tagName === 'TEXTAREA') return;
|
||
const keyToLabel = {
|
||
'1':'interview_scheduled','2':'offer_received','3':'rejected',
|
||
'4':'positive_response','5':'survey_received','6':'neutral'
|
||
};
|
||
const label = keyToLabel[e.key];
|
||
if (label) {
|
||
const btns = window.parent.document.querySelectorAll('button');
|
||
for (const btn of btns) {
|
||
if (btn.innerText.toLowerCase().includes(label.replace('_',' '))) {
|
||
btn.click(); break;
|
||
}
|
||
}
|
||
} else if (e.key.toLowerCase() === 's') {
|
||
const btns = window.parent.document.querySelectorAll('button');
|
||
for (const btn of btns) {
|
||
if (btn.innerText.includes('Skip')) { btn.click(); break; }
|
||
}
|
||
} else if (e.key.toLowerCase() === 'u') {
|
||
const btns = window.parent.document.querySelectorAll('button');
|
||
for (const btn of btns) {
|
||
if (btn.innerText.includes('Undo')) { btn.click(); break; }
|
||
}
|
||
}
|
||
});
|
||
</script>""",
|
||
height=0,
|
||
)
|
||
|
||
|
||
# ══════════════════════════════════════════════════════════════════════════════
|
||
# STATS TAB
|
||
# ══════════════════════════════════════════════════════════════════════════════
|
||
|
||
with tab_stats:
|
||
labeled = st.session_state.labeled
|
||
|
||
if not labeled:
|
||
st.info("No labeled emails yet.")
|
||
else:
|
||
counts = {lbl: 0 for lbl in LABELS}
|
||
for r in labeled:
|
||
lbl = r.get("label", "")
|
||
if lbl in counts:
|
||
counts[lbl] += 1
|
||
|
||
st.markdown(f"**{len(labeled)} labeled emails total**")
|
||
|
||
for lbl in LABELS:
|
||
m = _LABEL_META[lbl]
|
||
col_name, col_bar, col_n = st.columns([3, 5, 1])
|
||
col_name.markdown(f"{m['emoji']} {lbl}")
|
||
col_bar.progress(counts[lbl] / max(counts.values()) if counts.values() else 0)
|
||
col_n.markdown(f"**{counts[lbl]}**")
|
||
|
||
st.divider()
|
||
|
||
st.caption(
|
||
f"Score file: `{_SCORE_FILE.relative_to(_ROOT)}` "
|
||
f"({_SCORE_FILE.stat().st_size if _SCORE_FILE.exists() else 0:,} bytes)"
|
||
)
|
||
if st.button("🔄 Re-sync from disk"):
|
||
st.session_state.labeled = _load_jsonl(_SCORE_FILE)
|
||
st.session_state.labeled_keys = {_entry_key(r) for r in st.session_state.labeled}
|
||
st.rerun()
|
||
|
||
if _SCORE_FILE.exists():
|
||
st.download_button(
|
||
"⬇️ Download email_score.jsonl",
|
||
data=_SCORE_FILE.read_bytes(),
|
||
file_name="email_score.jsonl",
|
||
mime="application/jsonlines",
|
||
)
|