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| # -*- coding: utf-8 -*- | |
| """SmartPaper R3-Free UI: Streamlit is an observer, never the paper executor.""" | |
| import hashlib | |
| import json | |
| import logging | |
| import os | |
| import re | |
| import secrets | |
| import shutil | |
| import subprocess | |
| import sys | |
| import time | |
| from datetime import datetime, timezone | |
| from pathlib import Path | |
| import streamlit as st | |
| import streamlit.components.v1 as components | |
| from config import APP_CONFIG | |
| from managed_auth import ( | |
| cancel_generation_task, | |
| generation_task_status, | |
| recover_generation_task, | |
| require_alipay_login, | |
| render_logged_in_account, | |
| render_payment_purchase, | |
| start_generation_task, | |
| ) | |
| from i18n import ( | |
| LANGUAGE_OPTIONS, get_amj_csv_template, get_asq_txt_template, | |
| get_output_suffix, get_target_flag, get_target_language, tr, | |
| ) | |
| st.set_page_config( | |
| page_title="Article Agent", | |
| page_icon="📊", | |
| layout="wide", | |
| initial_sidebar_state="collapsed", | |
| ) | |
| WORKSPACE_DIR = APP_CONFIG.get("workspace_dir", ".workspace") | |
| os.makedirs(WORKSPACE_DIR, exist_ok=True) | |
| os.environ["STREAMLIT_SERVER_ENABLE_CORS"] = "false" | |
| os.environ["STREAMLIT_SERVER_ENABLE_XSRF_PROTECTION"] = "false" | |
| WECHAT_BLOCKER_JS = """<script>try{var ua=navigator.userAgent.toLowerCase();if(ua.indexOf('micromessenger')!==-1){var parentDoc=window.parent.document;if(!parentDoc.getElementById('wx-blocker')){var overlay=parentDoc.createElement('div');overlay.id='wx-blocker';overlay.style.cssText='position:fixed;top:0;left:0;width:100vw;height:100vh;background:#1a365d;z-index:9999999;color:white;display:flex;flex-direction:column;align-items:center;justify-content:center;text-align:center;font-family:sans-serif;padding:30px;box-sizing:border-box;';overlay.innerHTML='<h2 style="font-size:26px;margin-bottom:15px;font-weight:bold;">环境受限 / Restricted</h2><p style="font-size:18px;line-height:1.6;color:#e2e8f0;max-width:100%;">为了保障最终双语 ZIP 压缩包正常下载，<b>本系统禁止在微信内直接运行</b>。<br><br>👉 <b>请点击右上角 [···] 菜单，选择“在浏览器打开” (Open in Browser)</b></p>';parentDoc.body.appendChild(overlay);}}}catch(e){}</script>""" | |
| components.html(WECHAT_BLOCKER_JS, height=0, width=0) | |
| def inject_file_uploader_i18n(language: str) -> None: | |
| """Localize Streamlit uploaders without modifying their React structure.""" | |
| payload = { | |
| "browse": tr(language, "browse_files"), | |
| "uploaders": [ | |
| { | |
| "title": tr(language, "drop_docs"), | |
| "limit": tr(language, "limit_docs"), | |
| }, | |
| { | |
| "title": tr(language, "drop_data"), | |
| "limit": tr(language, "limit_data"), | |
| }, | |
| { | |
| "title": tr(language, "drop_docs"), | |
| "limit": tr(language, "limit_docs"), | |
| }, | |
| { | |
| "title": tr(language, "drop_interviews"), | |
| "limit": tr(language, "limit_interviews"), | |
| }, | |
| ], | |
| } | |
| script = f""" | |
| <script> | |
| (() => {{ | |
| const payload = {json.dumps(payload, ensure_ascii=False)}; | |
| const parentDocument = window.parent.document; | |
| function leafTextElements(root) {{ | |
| return Array.from( | |
| root.querySelectorAll("p, span, small, div") | |
| ).filter((element) => ( | |
| element.children.length === 0 && | |
| element.textContent.trim().length > 0 | |
| )); | |
| }} | |
| function replaceTextSafely(element, value) {{ | |
| if (element && element.textContent.trim() !== value) {{ | |
| element.textContent = value; | |
| }} | |
| }} | |
| function applyUploaderTranslations() {{ | |
| const zones = parentDocument.querySelectorAll( | |
| '[data-testid="stFileUploaderDropzone"]' | |
| ); | |
| zones.forEach((zone, index) => {{ | |
| const config = payload.uploaders[index]; | |
| if (!config) return; | |
| const instructions = zone.querySelector( | |
| '[data-testid="stFileUploaderDropzoneInstructions"]' | |
| ); | |
| if (instructions) {{ | |
| const leaves = leafTextElements(instructions); | |
| replaceTextSafely(leaves[0], config.title); | |
| replaceTextSafely(leaves[1], config.limit); | |
| }} | |
| const button = zone.querySelector("button"); | |
| if (button) {{ | |
| const buttonLeaves = leafTextElements(button); | |
| const textTarget = buttonLeaves[buttonLeaves.length - 1]; | |
| replaceTextSafely(textTarget, payload.browse); | |
| button.setAttribute("aria-label", payload.browse); | |
| button.setAttribute("title", payload.browse); | |
| }} | |
| }}); | |
| }} | |
| [0, 100, 300, 700, 1400, 2500].forEach((delay) => {{ | |
| window.setTimeout(applyUploaderTranslations, delay); | |
| }}); | |
| }})(); | |
| </script> | |
| """ | |
| components.html(script, height=0, width=0) | |
| def inject_wechat_browser_notice() -> None: | |
| """Warn immediately when SmartPaper is opened inside WeChat or WeCom.""" | |
| script = """ | |
| <script> | |
| (() => { | |
| const parentWindow = window.parent; | |
| const parentDocument = parentWindow.document; | |
| const userAgent = String( | |
| parentWindow.navigator.userAgent || navigator.userAgent || "" | |
| ); | |
| const isWechat = | |
| /MicroMessenger|WeChat|wxwork/i.test(userAgent); | |
| const noticeId = "smartpaper-wechat-browser-notice"; | |
| const existingNotice = parentDocument.getElementById(noticeId); | |
| if (!isWechat) { | |
| if (existingNotice) existingNotice.remove(); | |
| return; | |
| } | |
| if (existingNotice) return; | |
| const overlay = parentDocument.createElement("div"); | |
| overlay.id = noticeId; | |
| overlay.style.cssText = [ | |
| "position:fixed", | |
| "inset:0", | |
| "z-index:2147483647", | |
| "display:flex", | |
| "align-items:center", | |
| "justify-content:center", | |
| "padding:24px", | |
| "background:rgba(8,12,20,.96)", | |
| "box-sizing:border-box" | |
| ].join(";"); | |
| const card = parentDocument.createElement("div"); | |
| card.style.cssText = [ | |
| "width:min(620px,100%)", | |
| "padding:30px", | |
| "border:1px solid rgba(148,163,184,.35)", | |
| "border-radius:18px", | |
| "background:#111827", | |
| "color:#f8fafc", | |
| "font-family:Arial,'Microsoft YaHei','PingFang SC',sans-serif", | |
| "line-height:1.7", | |
| "box-shadow:0 20px 50px rgba(0,0,0,.38)" | |
| ].join(";"); | |
| const title = parentDocument.createElement("h2"); | |
| title.textContent = "请在浏览器中打开 / Open in Browser"; | |
| title.style.cssText = | |
| "margin:0 0 14px;font-size:24px;color:#ffffff;"; | |
| const chinese = parentDocument.createElement("p"); | |
| chinese.textContent = | |
| "微信内置页面可能无法正常完成登录和文件操作。请点击右上角“…”并选择“在浏览器打开”。"; | |
| chinese.style.cssText = "margin:0 0 12px;font-size:16px;"; | |
| const english = parentDocument.createElement("p"); | |
| english.textContent = | |
| "The WeChat in-app page may not complete sign-in or file operations correctly. Tap “…” in the top-right corner and choose “Open in Browser.”"; | |
| english.style.cssText = | |
| "margin:0 0 20px;font-size:15px;color:#cbd5e1;"; | |
| const copyButton = parentDocument.createElement("button"); | |
| copyButton.type = "button"; | |
| copyButton.textContent = "复制网址 / Copy link"; | |
| copyButton.style.cssText = [ | |
| "width:100%", | |
| "padding:12px 16px", | |
| "border:0", | |
| "border-radius:10px", | |
| "background:#1677ff", | |
| "color:#ffffff", | |
| "font-size:16px", | |
| "font-weight:700", | |
| "cursor:pointer" | |
| ].join(";"); | |
| copyButton.addEventListener("click", async () => { | |
| const url = parentWindow.location.href; | |
| try { | |
| await parentWindow.navigator.clipboard.writeText(url); | |
| copyButton.textContent = "已复制 / Copied"; | |
| } catch (_) { | |
| const textarea = parentDocument.createElement("textarea"); | |
| textarea.value = url; | |
| textarea.style.position = "fixed"; | |
| textarea.style.opacity = "0"; | |
| parentDocument.body.appendChild(textarea); | |
| textarea.focus(); | |
| textarea.select(); | |
| parentDocument.execCommand("copy"); | |
| textarea.remove(); | |
| copyButton.textContent = "已复制 / Copied"; | |
| } | |
| parentWindow.setTimeout(() => { | |
| copyButton.textContent = "复制网址 / Copy link"; | |
| }, 1800); | |
| }); | |
| card.appendChild(title); | |
| card.appendChild(chinese); | |
| card.appendChild(english); | |
| card.appendChild(copyButton); | |
| overlay.appendChild(card); | |
| parentDocument.body.appendChild(overlay); | |
| })(); | |
| </script> | |
| """ | |
| components.html(script, height=0, width=0) | |
| for key, default in { | |
| "is_running": False, | |
| "zip_buffer": None, | |
| "zip_filename": "", | |
| "run_mode": "amj", | |
| "sp_generation_task": None, | |
| "sp_pending_launch": None, | |
| "sp_pending_resume_task_id": "", | |
| "sp_pending_cancel_task_id": "", | |
| "sp_payment_required": False, | |
| "sp_terminal_notice": None, | |
| "sp_task_recovery_initialized": False, | |
| "sp_last_ui_task_status": "", | |
| }.items(): | |
| if key not in st.session_state: | |
| st.session_state[key] = default | |
| def _safe_key(value: str) -> str: | |
| cleaned = re.sub(r"[^A-Za-z0-9_.-]", "_", str(value or "").strip()) | |
| return cleaned[:100] or "anonymous" | |
| def _new_generation_idempotency_key() -> str: | |
| return f"gen_{int(time.time() * 1000)}_{secrets.token_urlsafe(18)}" | |
| def _atomic_json(path: Path, value: dict) -> None: | |
| path.parent.mkdir(parents=True, exist_ok=True) | |
| temporary = path.with_suffix(path.suffix + ".tmp") | |
| temporary.write_text(json.dumps(value, ensure_ascii=False), encoding="utf-8") | |
| os.replace(temporary, path) | |
| def _canonical_request_hash(value: dict) -> str: | |
| material = dict(value or {}) | |
| material.pop("request_hash", None) | |
| encoded = json.dumps(material, sort_keys=True, ensure_ascii=False, separators=(",", ":")).encode("utf-8") | |
| return hashlib.sha256(encoded).hexdigest() | |
| def _task_dir(task_id: str) -> Path: | |
| return Path(_user_workspace) / "tasks" / _safe_key(task_id) | |
| def _task_output_path(task: dict) -> Path | None: | |
| task_id = str(task.get("task_id") or "").strip() | |
| filename = os.path.basename(str(task.get("output_filename") or "").strip()) | |
| if not task_id or not filename: | |
| return None | |
| return _task_dir(task_id) / "outputs" / filename | |
| def _save_uploaded(items, inputs_dir: Path, prefix: str) -> list[str]: | |
| saved = [] | |
| for index, item in enumerate(items or []): | |
| if item is None: | |
| continue | |
| original = os.path.basename(str(getattr(item, "name", f"input_{index}"))) | |
| safe_name = re.sub(r"[^A-Za-z0-9_.-]", "_", original)[:140] or f"input_{index}" | |
| filename = f"{prefix}_{index:02d}_{safe_name}" | |
| path = inputs_dir / filename | |
| data = item.getvalue() if hasattr(item, "getvalue") else item.read() | |
| path.write_bytes(bytes(data or b"")) | |
| saved.append(str(Path("inputs") / filename)) | |
| try: | |
| item.seek(0) | |
| except Exception: | |
| pass | |
| return saved | |
| def _persist_task_request(task: dict, mode: str, lang_code: str) -> dict: | |
| task_id = str(task.get("task_id") or "").strip() | |
| numeric_id = (st.session_state.get("sp_user") or {}).get("numeric_id") | |
| if not task_id or not isinstance(numeric_id, int) or numeric_id <= 0: | |
| raise RuntimeError("task_identity_missing") | |
| task_dir = _task_dir(task_id) | |
| inputs_dir = task_dir / "inputs" | |
| inputs_dir.mkdir(parents=True, exist_ok=True) | |
| if mode == "amj": | |
| refs = _save_uploaded(st.session_state.get("up_amj_ref") or [], inputs_dir, "ref") | |
| data = _save_uploaded([st.session_state.get("up_amj_data")], inputs_dir, "data") | |
| interviews = [] | |
| else: | |
| refs = _save_uploaded(st.session_state.get("up_asq_ref") or [], inputs_dir, "ref") | |
| data = [] | |
| interviews = _save_uploaded([st.session_state.get("up_asq_data")], inputs_dir, "interview") | |
| request_data = { | |
| "task_id": task_id, | |
| "user_id": numeric_id, | |
| "mode": mode, | |
| "interface_language": lang_code, | |
| "target_lang": get_target_language(lang_code), | |
| "output_suffix": get_output_suffix(lang_code), | |
| "topic": str(st.session_state.get("sp_topic") or DEFAULT_TOPIC), | |
| "keywords": str(st.session_state.get("sp_keywords") or DEFAULT_KEYWORDS), | |
| "target_words": int(st.session_state.get("sp_words") or APP_CONFIG["target_words_default"]), | |
| "reference_files": refs, | |
| "data_files": data, | |
| "interview_files": interviews, | |
| "created_at": datetime.now(timezone.utc).isoformat(), | |
| } | |
| request_data["request_hash"] = _canonical_request_hash(request_data) | |
| _atomic_json(task_dir / "request.json", request_data) | |
| return request_data | |
| def _pid_alive(pid: int) -> bool: | |
| if not isinstance(pid, int) or pid <= 0: | |
| return False | |
| try: | |
| os.kill(pid, 0) | |
| return True | |
| except OSError: | |
| return False | |
| def _pid_is_task_executor(pid: int, task_id: str, task_dir: Path) -> bool: | |
| """Best-effort Linux identity check before trusting/killing a launch PID. | |
| Hugging Face Spaces run on Linux. A stale PID can be reused, so a bare | |
| ``os.kill(pid, 0)`` is never enough to identify our executor. | |
| """ | |
| if not _pid_alive(pid): | |
| return False | |
| try: | |
| raw = (Path("/proc") / str(pid) / "cmdline").read_bytes() | |
| command = raw.replace(b"\x00", b" ").decode("utf-8", errors="ignore") | |
| except Exception: | |
| return False | |
| return ( | |
| "task_executor.py" in command | |
| and f"--task-id {task_id}" in command | |
| and str(task_dir.resolve()) in command | |
| ) | |
| def _launch_executor(task_id: str, *, force: bool = False) -> int: | |
| """Start a detached executor without making Streamlit its lifecycle owner. | |
| ``subprocess.Popen`` only proves that the OS accepted the child process. | |
| R3.2 therefore records the PID and returns immediately. The executor owns | |
| claim/heartbeat/checkpoint/finalization; Worker/D1 owns task authority and | |
| startup-lease expiry. Streamlit never waits for claim and never terminates | |
| an executor because a UI-side timer expired. | |
| """ | |
| task_dir = _task_dir(task_id) | |
| request_path = task_dir / "request.json" | |
| if not request_path.is_file(): | |
| raise RuntimeError("task_request_manifest_missing") | |
| request_data = json.loads(request_path.read_text(encoding="utf-8")) | |
| numeric_id = int(request_data.get("user_id") or 0) | |
| request_hash = str(request_data.get("request_hash") or "").strip() | |
| if numeric_id <= 0 or not request_hash: | |
| raise RuntimeError("task_request_identity_invalid") | |
| launch_marker_path = task_dir / "executor_launch.json" | |
| claim_marker_path = task_dir / "executor_claim.json" | |
| if launch_marker_path.is_file(): | |
| try: | |
| marker = json.loads(launch_marker_path.read_text(encoding="utf-8")) | |
| pid = int(marker.get("pid") or 0) | |
| if _pid_is_task_executor(pid, task_id, task_dir) and not force: | |
| logging.info("[SP_UI] executor_already_spawned task_id=%s pid=%s", task_id, pid) | |
| return pid | |
| except Exception: | |
| pass | |
| # A stale local claim marker can never establish ownership for a new | |
| # launch/resume. Epoch fencing in Worker/D1, not process termination here, | |
| # prevents an older executor from overwriting a newer epoch. | |
| try: | |
| claim_marker_path.unlink(missing_ok=True) | |
| except TypeError: | |
| if claim_marker_path.exists(): | |
| claim_marker_path.unlink() | |
| log_path = task_dir / "executor.log" | |
| task_dir.mkdir(parents=True, exist_ok=True) | |
| command = [ | |
| sys.executable, | |
| str(Path(__file__).resolve().parent / "task_executor.py"), | |
| "--task-dir", str(task_dir.resolve()), | |
| "--task-id", str(task_id), | |
| "--user-id", str(numeric_id), | |
| ] | |
| executor_env = os.environ.copy() | |
| executor_env["SMARTPAPER_EXECUTOR_LOG_PATH"] = str(log_path.resolve()) | |
| process = subprocess.Popen( | |
| command, | |
| cwd=str(Path(__file__).resolve().parent), | |
| stdin=subprocess.DEVNULL, | |
| # Inherit stdout/stderr so executor bootstrap/errors are visible in HF | |
| # Container Logs; task_executor also writes the same log to executor.log. | |
| close_fds=True, | |
| start_new_session=True, | |
| env=executor_env, | |
| ) | |
| _atomic_json( | |
| launch_marker_path, | |
| { | |
| "pid": process.pid, | |
| "task_id": str(task_id), | |
| "request_hash": request_hash, | |
| "launched_at": datetime.now(timezone.utc).isoformat(), | |
| }, | |
| ) | |
| logging.info("[SP_UI] executor_spawned task_id=%s pid=%s", task_id, process.pid) | |
| return int(process.pid) | |
| def _process_pending_cancel() -> None: | |
| task_id = str(st.session_state.get("sp_pending_cancel_task_id") or "").strip() | |
| if not task_id: | |
| return | |
| result = cancel_generation_task(task_id) | |
| if result.get("cancelled"): | |
| shutil.rmtree(_task_dir(task_id), ignore_errors=True) | |
| st.session_state["sp_pending_cancel_task_id"] = "" | |
| st.session_state["sp_generation_task"] = dict(result.get("task") or {}) or None | |
| st.rerun() | |
| def _process_pending_resume() -> None: | |
| task_id = str(st.session_state.get("sp_pending_resume_task_id") or "").strip() | |
| if not task_id: | |
| return | |
| if not (_task_dir(task_id) / "request.json").is_file(): | |
| st.session_state["sp_pending_resume_task_id"] = "" | |
| st.session_state["sp_pending_cancel_task_id"] = task_id | |
| st.session_state["sp_terminal_notice"] = { | |
| "kind": "error", | |
| "message": "Local checkpoint/request files are unavailable after runtime replacement; the reserved quota will be released.", | |
| } | |
| st.rerun() | |
| _launch_executor(task_id, force=True) | |
| st.session_state["sp_pending_resume_task_id"] = "" | |
| st.session_state["sp_scroll_to_task_monitor"] = True | |
| st.rerun() | |
| def _process_pending_launch(lang_code: str) -> None: | |
| pending = st.session_state.get("sp_pending_launch") | |
| if not isinstance(pending, dict): | |
| return | |
| mode = str(pending.get("mode") or "").strip().lower() | |
| idempotency_key = str(pending.get("idempotency_key") or "").strip() | |
| try: | |
| response = start_generation_task( | |
| idempotency_key=idempotency_key, | |
| mode=mode, | |
| interface_language=lang_code, | |
| target_words=int(st.session_state.get("sp_words") or APP_CONFIG["target_words_default"]), | |
| ) | |
| except Exception as exc: | |
| st.session_state["sp_pending_launch"] = None | |
| raw = str(exc or "") | |
| if "payment_required" in raw: | |
| st.session_state["sp_payment_required"] = True | |
| st.error(tr(lang_code, "quota_exhausted")) | |
| render_payment_purchase(lang_code) | |
| else: | |
| st.error(raw) | |
| return | |
| task = dict(response.get("task") or {}) | |
| task_id = str(task.get("task_id") or "").strip() | |
| if not task_id: | |
| st.session_state["sp_pending_launch"] = None | |
| st.error("task_start_missing_task_id") | |
| return | |
| st.session_state["sp_generation_task"] = task | |
| st.session_state["sp_last_ui_task_status"] = str(task.get("status") or "") | |
| try: | |
| request_path = _task_dir(task_id) / "request.json" | |
| if not request_path.is_file(): | |
| _persist_task_request(task, mode, lang_code) | |
| _launch_executor(task_id) | |
| except Exception as exc: | |
| st.session_state["sp_pending_launch"] = None | |
| st.session_state["sp_pending_cancel_task_id"] = task_id | |
| st.session_state["sp_terminal_notice"] = {"kind": "error", "message": str(exc)[:800]} | |
| st.rerun() | |
| st.session_state["sp_pending_launch"] = None | |
| st.session_state["sp_payment_required"] = False | |
| st.session_state["sp_scroll_to_task_monitor"] = True | |
| st.rerun() | |
| inject_wechat_browser_notice() | |
| DEFAULT_TOPIC = "Generative Artificial Intelligence in Ubiquitous Learning: Evaluating a Chatbot-based Recommendation Engine for Personalized and Context-aware Education" | |
| DEFAULT_KEYWORDS = "Ubiquitous computing; Context awareness; Deep learning; Personalized educational; Educational technologies; HCI; Recommendation system; LLMs; Generative AI; ChatGPT; Prompting engineering; Few-shot prompting" | |
| def _current_language_code() -> str: | |
| choice = st.session_state.get("interface_language_choice") | |
| return LANGUAGE_OPTIONS.get(choice, "zh") | |
| authenticated_user = require_alipay_login(_current_language_code()) | |
| if not bool(st.session_state.get("sp_task_recovery_initialized")): | |
| recover_generation_task() | |
| st.session_state["sp_task_recovery_initialized"] = True | |
| _user_workspace = os.path.join(WORKSPACE_DIR, "users", _safe_key(authenticated_user.get("id"))) | |
| os.makedirs(_user_workspace, exist_ok=True) | |
| ACTIVE_TASK_STATUSES = {"created", "running", "resumable", "cancelling"} | |
| def _render_monitor_box(task: dict, lang_code: str) -> None: | |
| status = str(task.get("status") or "") | |
| node = str(task.get("current_node") or status or "") | |
| progress = max(0, min(100, int(task.get("progress_pct") or 0))) | |
| if status in {"created", "running", "resumable", "cancelling"}: | |
| st.progress(progress, text=f"{progress}% — {node}") | |
| st.markdown(f""" | |
| <div class='log-box'> | |
| <div><b>{tr(lang_code, 'monitor_pipeline')}:</b> {status}</div><div><b>{tr(lang_code, 'monitor_node')}:</b> {node}</div><div><b>{tr(lang_code, 'monitor_log')}:</b> checkpoint {int(task.get('checkpoint_seq') or 0)} · {str(task.get('checkpoint_stage') or '')}</div><hr> | |
| <div><b>{tr(lang_code, 'monitor_compute')}:</b></div> | |
| <div style='display: flex; gap: 8px;'> | |
| <span style='background: #fef3c7; padding: 4px 8px; border-radius: 4px; color: black;'>🧠 DeepSeek: <b>{int(task.get('ds_calls') or 0)}</b></span> | |
| <span style='background: #dbeafe; padding: 4px 8px; border-radius: 4px; color: black;'>📚 S2: <b>{int(task.get('s2_calls') or 0)}</b></span> | |
| <span style='background: #d1fae5; padding: 4px 8px; border-radius: 4px; color: black;'>🌐 OpenAlex: <b>{int(task.get('oa_calls') or 0)}</b></span> | |
| </div> | |
| </div> | |
| """, unsafe_allow_html=True) | |
| def _render_task_status_once(lang_code: str) -> None: | |
| task = st.session_state.get("sp_generation_task") or {} | |
| task_id = str(task.get("task_id") or "").strip() | |
| if not task_id: | |
| return | |
| previous_status = str(st.session_state.get("sp_last_ui_task_status") or str(task.get("status") or "")) | |
| status = str(task.get("status") or "") | |
| if status in {"created", "running", "resumable", "cancelling"}: | |
| try: | |
| result = generation_task_status(task_id) | |
| task = dict(result.get("task") or task) | |
| st.session_state["sp_generation_task"] = task | |
| status = str(task.get("status") or "") | |
| except Exception as exc: | |
| logging.warning("[SP_UI] status_poll_error task_id=%s error=%s", task_id, type(exc).__name__) | |
| st.session_state["sp_last_ui_task_status"] = status | |
| _render_monitor_box(task, lang_code) | |
| if status == "completed": | |
| output_path = _task_output_path(task) | |
| if output_path and output_path.is_file(): | |
| st.success(tr(lang_code, "success")) | |
| st.download_button(label=tr(lang_code, "download"), data=output_path.read_bytes(), file_name=output_path.name, mime="application/zip") | |
| else: | |
| st.warning("The task completed, but the local output file is unavailable after runtime replacement.") | |
| elif status == "failed": | |
| st.error(str(task.get("safe_error_detail") or task.get("safe_error_code") or tr(lang_code, "node_error"))) | |
| elif status == "cancelled": | |
| detail = str(task.get("safe_error_detail") or "") | |
| if detail: | |
| st.warning(detail) | |
| # Only boundary transitions need one full app rerun so static controls pick | |
| # up resume/terminal state. Running progress never reruns the whole page. | |
| if previous_status and status != previous_status and status in {"resumable", "completed", "failed", "cancelled"}: | |
| st.rerun() | |
| def _scroll_to_task_monitor_once() -> None: | |
| """One-time UX correction after launch/resume; never polls or reruns.""" | |
| if not bool(st.session_state.get("sp_scroll_to_task_monitor")): | |
| return | |
| st.session_state["sp_scroll_to_task_monitor"] = False | |
| components.html( | |
| """ | |
| <script> | |
| (() => { | |
| const parentDocument = window.parent.document; | |
| window.parent.setTimeout(() => { | |
| const target = parentDocument.getElementById('sp-task-monitor-anchor'); | |
| if (target) target.scrollIntoView({behavior: 'auto', block: 'start'}); | |
| }, 120); | |
| })(); | |
| </script> | |
| """, | |
| height=0, | |
| width=0, | |
| ) | |
| def render_workspace_controls(user): | |
| top_toolbar = st.container() | |
| with top_toolbar: | |
| language_col, account_col = st.columns([5.4, 4.6]) | |
| with language_col: | |
| lang_choice = st.radio( | |
| "Language", list(LANGUAGE_OPTIONS.keys()), index=0, horizontal=True, | |
| label_visibility="collapsed", key="interface_language_choice", | |
| ) | |
| lang_code = LANGUAGE_OPTIONS[lang_choice] | |
| st.session_state["sp_lang_code"] = lang_code | |
| st.session_state["sp_target_lang"] = get_target_language(lang_code) | |
| st.session_state["sp_output_suffix"] = get_output_suffix(lang_code) | |
| st.session_state["sp_target_flag"] = get_target_flag(lang_code) | |
| with account_col: | |
| render_logged_in_account(lang_code, user) | |
| task = st.session_state.get("sp_generation_task") or {} | |
| task_status = str(task.get("status") or "") | |
| active = task_status in ACTIVE_TASK_STATUSES | |
| st.session_state["is_running"] = active | |
| st.markdown(f"<div class='main-title'><h2>{tr(lang_code, 'title')}</h2></div>", unsafe_allow_html=True) | |
| if task_status == "resumable": | |
| st.warning(tr(lang_code, "checkpoint_warning")) | |
| colA, colB = st.columns([1, 1]) | |
| if colA.button(tr(lang_code, "resume"), key="resume_task"): | |
| st.session_state["sp_pending_resume_task_id"] = str(task.get("task_id") or "") | |
| st.rerun() | |
| if colB.button(tr(lang_code, "clear"), key="clear_task"): | |
| st.session_state["sp_pending_cancel_task_id"] = str(task.get("task_id") or "") | |
| st.rerun() | |
| st.markdown("---") | |
| st.text_input(tr(lang_code, "topic_label"), value=DEFAULT_TOPIC, disabled=active, key="sp_topic") | |
| st.text_input(tr(lang_code, "keywords_label"), value=DEFAULT_KEYWORDS, disabled=active, key="sp_keywords") | |
| st.number_input( | |
| tr(lang_code, "words_label"), | |
| min_value=int(APP_CONFIG["target_words_min"]), | |
| max_value=int(APP_CONFIG["target_words_max"]), | |
| value=int(APP_CONFIG["target_words_default"]), | |
| step=1000, | |
| disabled=active, | |
| key="sp_words", | |
| ) | |
| tab_amj, tab_asq = st.tabs([tr(lang_code, "tab_amj"), tr(lang_code, "tab_asq")]) | |
| with tab_amj: | |
| st.markdown(tr(lang_code, "amj_config")) | |
| st.info(tr(lang_code, "amj_info")) | |
| st.file_uploader(tr(lang_code, "upload_reference"), type=["pdf", "doc", "docx"], accept_multiple_files=True, key="up_amj_ref", disabled=active) | |
| st.file_uploader(tr(lang_code, "upload_stats"), type=["csv", "xlsx", "xls"], key="up_amj_data", disabled=active) | |
| with st.expander(tr(lang_code, "amj_expander")): | |
| st.markdown(tr(lang_code, "amj_hint")) | |
| template = get_amj_csv_template(lang_code) | |
| st.code(template, language="csv") | |
| st.download_button(label=tr(lang_code, "download_amj_template"), data=template, file_name="AMJ_Data_Template.csv", mime="text/csv", use_container_width=True) | |
| if st.button(tr(lang_code, "start_amj"), disabled=active, key="btn_amj"): | |
| st.session_state["run_mode"] = "amj" | |
| st.session_state["sp_pending_launch"] = {"mode": "amj", "idempotency_key": _new_generation_idempotency_key()} | |
| st.rerun() | |
| with tab_asq: | |
| st.markdown(tr(lang_code, "asq_config")) | |
| st.info(tr(lang_code, "asq_info")) | |
| st.file_uploader(tr(lang_code, "upload_reference"), type=["pdf", "doc", "docx"], accept_multiple_files=True, key="up_asq_ref", disabled=active) | |
| st.file_uploader(tr(lang_code, "upload_interviews"), type=["txt", "pdf", "doc", "docx"], key="up_asq_data", disabled=active) | |
| with st.expander(tr(lang_code, "asq_expander")): | |
| st.markdown(tr(lang_code, "asq_hint")) | |
| template = get_asq_txt_template(lang_code) | |
| st.code(template, language="text") | |
| st.download_button(label=tr(lang_code, "download_asq_template"), data=template, file_name="ASQ_Interview_Template.txt", mime="text/plain", use_container_width=True) | |
| if st.button(tr(lang_code, "start_asq"), disabled=active, key="btn_asq"): | |
| st.session_state["run_mode"] = "asq" | |
| st.session_state["sp_pending_launch"] = {"mode": "asq", "idempotency_key": _new_generation_idempotency_key()} | |
| st.rerun() | |
| inject_file_uploader_i18n(lang_code) | |
| render_workspace_controls(authenticated_user) | |
| lang_code = str(st.session_state.get("sp_lang_code") or _current_language_code()) | |
| _notice = st.session_state.pop("sp_terminal_notice", None) | |
| if isinstance(_notice, dict) and _notice.get("message"): | |
| (st.error if _notice.get("kind") == "error" else st.warning)(str(_notice.get("message"))) | |
| _process_pending_cancel() | |
| _process_pending_resume() | |
| _process_pending_launch(lang_code) | |
| if st.session_state.get("sp_payment_required"): | |
| render_payment_purchase(lang_code) | |
| # R3.2 UI rollback: keep the task monitor at its pre-R3.1.1 location. | |
| # It refreshes only on a normal Streamlit rerun (user action/manual page refresh); | |
| # there is no periodic fragment and therefore no 5-second page flicker. | |
| _task_for_monitor = st.session_state.get("sp_generation_task") or {} | |
| if str(_task_for_monitor.get("task_id") or "").strip(): | |
| st.markdown("<div id='sp-task-monitor-anchor'></div>", unsafe_allow_html=True) | |
| _render_task_status_once(lang_code) | |
| _scroll_to_task_monitor_once() | |