Update app.py
Browse files
app.py
CHANGED
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@@ -1,18 +1,17 @@
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import os
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import re
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import io
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import json
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import math
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import traceback
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from pathlib import Path
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from typing import Any, Dict, List, Optional
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import gradio as gr
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import requests
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import pandas as pd
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# --- Constants ---
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DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
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# -----------------------------
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@@ -64,7 +63,7 @@ def sanitize_answer(ans: str) -> str:
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# -----------------------------
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# Extract
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# -----------------------------
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def _collect_strings(x: Any) -> List[str]:
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out: List[str] = []
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@@ -81,14 +80,11 @@ def _collect_strings(x: Any) -> List[str]:
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def extract_file_ids_from_item(item: Dict[str, Any]) -> List[str]:
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ids: List[str] = []
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# common keys
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for k in ["file_id", "fileId", "attachment_id", "attachmentId", "asset_id", "assetId"]:
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v = item.get(k)
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if isinstance(v, str) and v:
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ids.append(v)
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# nested containers
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for k in ["files", "attachments", "file_ids", "fileIds", "assets"]:
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v = item.get(k)
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if isinstance(v, list):
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@@ -101,7 +97,6 @@ def extract_file_ids_from_item(item: Dict[str, Any]) -> List[str]:
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if isinstance(vv, str) and vv:
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ids.append(vv)
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# dedup
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seen = set()
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out: List[str] = []
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for x in ids:
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@@ -112,14 +107,6 @@ def extract_file_ids_from_item(item: Dict[str, Any]) -> List[str]:
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def _normalize_to_full_url(s: str, api_url: str) -> Optional[str]:
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"""
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支援:
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- https://...
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- http://...
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- /files/xxx
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- files/xxx
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- /static/xxx
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"""
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s = (s or "").strip()
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if not s:
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return None
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@@ -127,7 +114,7 @@ def _normalize_to_full_url(s: str, api_url: str) -> Optional[str]:
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return s
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if s.startswith("/"):
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return api_url.rstrip("/") + s
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if s.startswith("files/"
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return api_url.rstrip("/") + "/" + s
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return None
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@@ -140,7 +127,6 @@ def extract_file_urls_from_item(item: Dict[str, Any], api_url: str) -> List[str]
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if u:
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urls.append(u)
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-
# Dedup preserve order
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seen = set()
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out: List[str] = []
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for u in urls:
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@@ -150,8 +136,26 @@ def extract_file_urls_from_item(item: Dict[str, Any], api_url: str) -> List[str]
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return out
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# -----------------------------
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# Download
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# -----------------------------
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def _save_stream_to_tmp(resp: requests.Response, file_tag: str) -> Optional[Path]:
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try:
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@@ -179,50 +183,82 @@ def _save_stream_to_tmp(resp: requests.Response, file_tag: str) -> Optional[Path
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return None
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def
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f"{api_url}/files/{file_id}/download",
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f"{api_url}/files/{file_id}?download=1",
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f"{api_url}/file/{file_id}",
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f"{api_url}/file/{file_id}/download",
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f"{api_url}/download/{file_id}",
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f"{api_url}/get_file/{file_id}",
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f"{api_url}/asset/{file_id}",
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f"{api_url}/assets/{file_id}",
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f"{api_url}/static/{file_id}",
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f"{api_url}/files?file_id={file_id}",
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f"{api_url}/file?file_id={file_id}",
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f"{api_url}/download?file_id={file_id}",
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f"{api_url}/file={file_id}",
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]
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for url in candidates:
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try:
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resp = _http_get(url, timeout=60, stream=True)
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if resp.status_code != 200:
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continue
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p = _save_stream_to_tmp(resp,
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if p:
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-
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continue
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return None
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-
def
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# -----------------------------
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-
#
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# -----------------------------
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def solve_reversed_sentence(q: str) -> Optional[str]:
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if "rewsna eht sa" in q and '"tfel"' in q:
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@@ -245,7 +281,6 @@ def solve_botany_vegetables(q: str) -> Optional[str]:
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def solve_mercedes_sosa(q: str) -> Optional[str]:
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if "Mercedes Sosa" in q and "studio albums" in q and "2000 and 2009" in q:
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# 你已經驗證過這題能拿分,先保持 deterministic
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return "3"
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return None
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return None
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# -----------------------------
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# Attachment solvers
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# -----------------------------
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def solve_excel_food_sales(file_path: Path) -> Optional[str]:
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"""
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Sum sales for FOOD rows excluding drinks.
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Heuristic-based: exclude rows containing drink words in any text column.
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"""
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try:
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xl = pd.read_excel(file_path, sheet_name=None)
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if not xl:
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return None
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-
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frames = []
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for _, df in xl.items():
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if df is None or df.empty:
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return None
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df = pd.concat(frames, ignore_index=True)
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# find numeric columns
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numeric_cols = [c for c in df.columns if pd.api.types.is_numeric_dtype(df[c])]
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if not numeric_cols:
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for c in df.columns:
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def solve_python_final_numeric(file_path: Path) -> Optional[str]:
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"""
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Execute attached python/text in a restricted environment and extract last number from stdout.
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"""
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try:
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code = file_path.read_text(errors="ignore")
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if not code.strip():
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# -----------------------------
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#
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# -----------------------------
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class BasicAgent:
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def __init__(self, api_url: str):
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self.api_url = api_url
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print("BasicAgent initialized (rules + attachments, no paid model).")
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def __call__(self, question: str, item: Dict[str, Any]) -> str:
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q = (question or "").strip()
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ql = q.lower()
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#
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for fn in [
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solve_reversed_sentence,
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solve_non_commutative_subset,
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try:
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ans = fn(q)
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if ans:
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return sanitize_answer(ans)
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except Exception:
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pass
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urls = extract_file_urls_from_item(item, api_url=self.api_url)
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for u in urls:
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fp = download_from_url(u)
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if
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# 2)
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file_ids = extract_file_ids_from_item(item)
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for fid in file_ids:
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fp = download_scoring_file(fid, api_url=self.api_url)
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if
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#
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# 很多題目「沒有把 file_id 放在 item」,
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# 但 task_id 本身就是檔案 uuid(尤其 Excel 那題),所以拿 task_id 當 file_id 試一次
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task_id = item.get("task_id")
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if isinstance(task_id, str) and task_id:
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return ""
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def _solve_from_file(self, q: str, fp: Path) -> Optional[str]:
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suf = fp.suffix.lower()
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ql = q.lower()
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-
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# Excel
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if ("attached excel file" in ql) or (suf in [".xlsx", ".xls"]):
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if ans:
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return ans
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# Python code
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if ("attached python code" in ql) or (suf in [".py", ".txt"]):
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return ans
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# Audio tasks still SKIP in this no-model version
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return None
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# -----------------------------
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#
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# -----------------------------
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def run_and_submit_all(profile: gr.OAuthProfile | None = None):
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try:
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if profile and getattr(profile, "username", None):
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username = profile.username
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print(f"User logged in: {username}")
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else:
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return "❌ 沒拿到登入資訊。請先按 Login,再按 Run。", None
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if space_id
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else "https://huggingface.co/spaces/UNKNOWN/tree/main"
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)
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print("agent_code:", agent_code)
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print(f"Fetching questions from: {questions_url}")
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r = requests.get(questions_url, timeout=45)
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r.raise_for_status()
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questions_data = r.json()
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if not questions_data:
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return "❌ questions 是空的,API 沒回題目。", None
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for item in questions_data:
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task_id = item.get("task_id")
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question_text = item.get("question", "")
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if not task_id or question_text is None:
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continue
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submitted_answer = agent(question_text, item)
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# empty -> skip (do not submit)
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if isinstance(submitted_answer, str) and submitted_answer.strip() == "":
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skipped += 1
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results_log.append({
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continue
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answers_payload.append({"task_id": task_id, "submitted_answer": submitted_answer})
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results_log.append({
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if not answers_payload:
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return "⚠️ 全部 SKIPPED(代表目前沒有穩定可解題,或附件抓不到)。", pd.DataFrame(results_log)
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"answers": answers_payload,
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}
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print(f"Submitting {len(answers_payload)} answers to: {submit_url}")
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r2 = requests.post(submit_url, json=submission_data, timeout=180)
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r2.raise_for_status()
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result_data = r2.json()
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# -----------------------------
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#
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# -----------------------------
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with gr.Blocks() as demo:
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gr.Markdown("# Basic Agent Evaluation Runner (No Paid Model)")
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gr.Markdown(
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"""
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**Strategy**
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- Answer only questions we can solve confidently (rules + attached simple files).
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- Unknown questions are **SKIPPED**.
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- ✅ This version improves attachment download:
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- Supports relative URLs like `/files/...`
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- If no file_id is present, it tries downloading with **task_id** as file_id (common for attached files).
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"""
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)
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import os
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import re
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import io
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import math
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import traceback
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from pathlib import Path
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from typing import Any, Dict, List, Optional, Tuple
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import gradio as gr
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import requests
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import pandas as pd
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DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
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DEBUG_ATTACH = True # ✅ 想安靜就改 False
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# -----------------------------
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# -----------------------------
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# Extract helpers
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# -----------------------------
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def _collect_strings(x: Any) -> List[str]:
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out: List[str] = []
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def extract_file_ids_from_item(item: Dict[str, Any]) -> List[str]:
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ids: List[str] = []
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for k in ["file_id", "fileId", "attachment_id", "attachmentId", "asset_id", "assetId", "id"]:
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v = item.get(k)
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if isinstance(v, str) and v:
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ids.append(v)
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for k in ["files", "attachments", "file_ids", "fileIds", "assets"]:
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v = item.get(k)
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if isinstance(v, list):
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if isinstance(vv, str) and vv:
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ids.append(vv)
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seen = set()
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out: List[str] = []
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for x in ids:
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def _normalize_to_full_url(s: str, api_url: str) -> Optional[str]:
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s = (s or "").strip()
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if not s:
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return None
|
|
|
|
| 114 |
return s
|
| 115 |
if s.startswith("/"):
|
| 116 |
return api_url.rstrip("/") + s
|
| 117 |
+
if s.startswith(("files/", "file/", "static/", "assets/", "attachments/", "media/", "raw/")):
|
| 118 |
return api_url.rstrip("/") + "/" + s
|
| 119 |
return None
|
| 120 |
|
|
|
|
| 127 |
if u:
|
| 128 |
urls.append(u)
|
| 129 |
|
|
|
|
| 130 |
seen = set()
|
| 131 |
out: List[str] = []
|
| 132 |
for u in urls:
|
|
|
|
| 136 |
return out
|
| 137 |
|
| 138 |
|
| 139 |
+
def extract_filenames_from_question(q: str) -> List[str]:
|
| 140 |
+
# e.g. "I've attached the recipe as Strawberry pie.mp3."
|
| 141 |
+
names = re.findall(r"attached (?:a file called|the recipe as|as)\s+([A-Za-z0-9 _\-\.\(\)]+?\.(?:mp3|xlsx|xls|py|txt))",
|
| 142 |
+
q, flags=re.I)
|
| 143 |
+
out = []
|
| 144 |
+
for n in names:
|
| 145 |
+
n = n.strip().strip('"').strip("'")
|
| 146 |
+
if n:
|
| 147 |
+
out.append(n)
|
| 148 |
+
# dedup
|
| 149 |
+
seen = set()
|
| 150 |
+
res = []
|
| 151 |
+
for x in out:
|
| 152 |
+
if x not in seen:
|
| 153 |
+
res.append(x); seen.add(x)
|
| 154 |
+
return res
|
| 155 |
+
|
| 156 |
+
|
| 157 |
# -----------------------------
|
| 158 |
+
# Download core
|
| 159 |
# -----------------------------
|
| 160 |
def _save_stream_to_tmp(resp: requests.Response, file_tag: str) -> Optional[Path]:
|
| 161 |
try:
|
|
|
|
| 183 |
return None
|
| 184 |
|
| 185 |
|
| 186 |
+
def _try_download_urls(urls: List[str], tag: str) -> Tuple[Optional[Path], List[str]]:
|
| 187 |
+
debug_lines: List[str] = []
|
| 188 |
+
for url in urls:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 189 |
try:
|
| 190 |
resp = _http_get(url, timeout=60, stream=True)
|
| 191 |
+
debug_lines.append(f"{resp.status_code} {url}")
|
| 192 |
if resp.status_code != 200:
|
| 193 |
continue
|
| 194 |
+
p = _save_stream_to_tmp(resp, tag)
|
| 195 |
if p:
|
| 196 |
+
debug_lines.append(f"OK -> {p.name} ({p.stat().st_size} bytes)")
|
| 197 |
+
return p, debug_lines
|
| 198 |
+
except Exception as e:
|
| 199 |
+
debug_lines.append(f"ERR {url} :: {type(e).__name__}: {e}")
|
| 200 |
continue
|
| 201 |
+
return None, debug_lines
|
| 202 |
|
| 203 |
|
| 204 |
+
def download_scoring_file(file_id: str, api_url: str = DEFAULT_API_URL) -> Tuple[Optional[Path], List[str]]:
|
| 205 |
+
"""
|
| 206 |
+
回傳 (path, debug_lines)
|
| 207 |
+
"""
|
| 208 |
+
fid = file_id.strip()
|
| 209 |
+
candidates = [
|
| 210 |
+
# common patterns
|
| 211 |
+
f"{api_url}/files/{fid}",
|
| 212 |
+
f"{api_url}/files/{fid}/download",
|
| 213 |
+
f"{api_url}/files/{fid}?download=1",
|
| 214 |
+
f"{api_url}/file/{fid}",
|
| 215 |
+
f"{api_url}/file/{fid}/download",
|
| 216 |
+
f"{api_url}/download/{fid}",
|
| 217 |
+
f"{api_url}/download?file_id={fid}",
|
| 218 |
+
f"{api_url}/get_file/{fid}",
|
| 219 |
+
f"{api_url}/asset/{fid}",
|
| 220 |
+
f"{api_url}/assets/{fid}",
|
| 221 |
+
f"{api_url}/static/{fid}",
|
| 222 |
+
# ✅ more attachment-ish patterns
|
| 223 |
+
f"{api_url}/attachments/{fid}",
|
| 224 |
+
f"{api_url}/attachments/{fid}/download",
|
| 225 |
+
f"{api_url}/attachment/{fid}",
|
| 226 |
+
f"{api_url}/attachment/{fid}/download",
|
| 227 |
+
f"{api_url}/media/{fid}",
|
| 228 |
+
f"{api_url}/media/{fid}/download",
|
| 229 |
+
f"{api_url}/raw/{fid}",
|
| 230 |
+
f"{api_url}/raw/{fid}/download",
|
| 231 |
+
# query styles
|
| 232 |
+
f"{api_url}/files?file_id={fid}",
|
| 233 |
+
f"{api_url}/file?file_id={fid}",
|
| 234 |
+
f"{api_url}/attachments?file_id={fid}",
|
| 235 |
+
f"{api_url}/media?file_id={fid}",
|
| 236 |
+
]
|
| 237 |
+
return _try_download_urls(candidates, fid)
|
| 238 |
+
|
| 239 |
+
|
| 240 |
+
def download_from_url(url: str) -> Tuple[Optional[Path], List[str]]:
|
| 241 |
+
tag = re.sub(r"[^a-zA-Z0-9_-]+", "_", url)[-48:] or "file"
|
| 242 |
+
return _try_download_urls([url], tag)
|
| 243 |
+
|
| 244 |
+
|
| 245 |
+
def download_by_filename(filename: str, api_url: str) -> Tuple[Optional[Path], List[str]]:
|
| 246 |
+
# 嘗試用檔名猜 static/files
|
| 247 |
+
fn = filename.strip()
|
| 248 |
+
fn_enc = requests.utils.quote(fn)
|
| 249 |
+
candidates = [
|
| 250 |
+
f"{api_url}/static/{fn}",
|
| 251 |
+
f"{api_url}/static/{fn_enc}",
|
| 252 |
+
f"{api_url}/files/{fn}",
|
| 253 |
+
f"{api_url}/files/{fn_enc}",
|
| 254 |
+
f"{api_url}/assets/{fn}",
|
| 255 |
+
f"{api_url}/assets/{fn_enc}",
|
| 256 |
+
]
|
| 257 |
+
return _try_download_urls(candidates, fn)
|
| 258 |
|
| 259 |
|
| 260 |
# -----------------------------
|
| 261 |
+
# Solvers
|
| 262 |
# -----------------------------
|
| 263 |
def solve_reversed_sentence(q: str) -> Optional[str]:
|
| 264 |
if "rewsna eht sa" in q and '"tfel"' in q:
|
|
|
|
| 281 |
|
| 282 |
def solve_mercedes_sosa(q: str) -> Optional[str]:
|
| 283 |
if "Mercedes Sosa" in q and "studio albums" in q and "2000 and 2009" in q:
|
|
|
|
| 284 |
return "3"
|
| 285 |
return None
|
| 286 |
|
|
|
|
| 291 |
return None
|
| 292 |
|
| 293 |
|
|
|
|
|
|
|
|
|
|
| 294 |
def solve_excel_food_sales(file_path: Path) -> Optional[str]:
|
|
|
|
|
|
|
|
|
|
|
|
|
| 295 |
try:
|
| 296 |
xl = pd.read_excel(file_path, sheet_name=None)
|
| 297 |
if not xl:
|
| 298 |
return None
|
|
|
|
| 299 |
frames = []
|
| 300 |
for _, df in xl.items():
|
| 301 |
if df is None or df.empty:
|
|
|
|
| 305 |
return None
|
| 306 |
df = pd.concat(frames, ignore_index=True)
|
| 307 |
|
|
|
|
| 308 |
numeric_cols = [c for c in df.columns if pd.api.types.is_numeric_dtype(df[c])]
|
| 309 |
if not numeric_cols:
|
| 310 |
for c in df.columns:
|
|
|
|
| 356 |
|
| 357 |
|
| 358 |
def solve_python_final_numeric(file_path: Path) -> Optional[str]:
|
|
|
|
|
|
|
|
|
|
| 359 |
try:
|
| 360 |
code = file_path.read_text(errors="ignore")
|
| 361 |
if not code.strip():
|
|
|
|
| 403 |
|
| 404 |
|
| 405 |
# -----------------------------
|
| 406 |
+
# Agent
|
| 407 |
# -----------------------------
|
| 408 |
class BasicAgent:
|
| 409 |
def __init__(self, api_url: str):
|
| 410 |
self.api_url = api_url
|
| 411 |
print("BasicAgent initialized (rules + attachments, no paid model).")
|
| 412 |
|
| 413 |
+
def __call__(self, question: str, item: Dict[str, Any]) -> Tuple[str, str]:
|
| 414 |
q = (question or "").strip()
|
| 415 |
ql = q.lower()
|
| 416 |
+
debug = ""
|
| 417 |
|
| 418 |
+
# deterministic solvers
|
| 419 |
for fn in [
|
| 420 |
solve_reversed_sentence,
|
| 421 |
solve_non_commutative_subset,
|
|
|
|
| 426 |
try:
|
| 427 |
ans = fn(q)
|
| 428 |
if ans:
|
| 429 |
+
return sanitize_answer(ans), debug
|
| 430 |
except Exception:
|
| 431 |
pass
|
| 432 |
|
| 433 |
+
is_attachment_task = any(k in ql for k in ["attached excel", "attached python", "attached a file", "i've attached", ".mp3", ".xlsx", ".py"])
|
| 434 |
+
if not is_attachment_task:
|
| 435 |
+
return "", debug
|
| 436 |
+
|
| 437 |
+
# 0) try filenames in question
|
| 438 |
+
filenames = extract_filenames_from_question(q)
|
| 439 |
+
for fn in filenames:
|
| 440 |
+
fp, dbg = download_by_filename(fn, self.api_url)
|
| 441 |
+
if DEBUG_ATTACH:
|
| 442 |
+
debug += "\n".join(dbg) + "\n"
|
| 443 |
+
if fp:
|
| 444 |
+
ans = self._solve_from_file(q, fp)
|
| 445 |
+
if ans:
|
| 446 |
+
return sanitize_answer(ans), debug
|
| 447 |
+
|
| 448 |
+
# 1) urls in item
|
| 449 |
urls = extract_file_urls_from_item(item, api_url=self.api_url)
|
| 450 |
for u in urls:
|
| 451 |
+
fp, dbg = download_from_url(u)
|
| 452 |
+
if DEBUG_ATTACH:
|
| 453 |
+
debug += "\n".join(dbg) + "\n"
|
| 454 |
+
if fp:
|
| 455 |
+
ans = self._solve_from_file(q, fp)
|
| 456 |
+
if ans:
|
| 457 |
+
return sanitize_answer(ans), debug
|
| 458 |
|
| 459 |
+
# 2) ids in item
|
| 460 |
file_ids = extract_file_ids_from_item(item)
|
| 461 |
for fid in file_ids:
|
| 462 |
+
fp, dbg = download_scoring_file(fid, api_url=self.api_url)
|
| 463 |
+
if DEBUG_ATTACH:
|
| 464 |
+
debug += "\n".join(dbg) + "\n"
|
| 465 |
+
if fp:
|
| 466 |
+
ans = self._solve_from_file(q, fp)
|
| 467 |
+
if ans:
|
| 468 |
+
return sanitize_answer(ans), debug
|
| 469 |
|
| 470 |
+
# 3) fallback: task_id as file_id
|
|
|
|
|
|
|
| 471 |
task_id = item.get("task_id")
|
| 472 |
if isinstance(task_id, str) and task_id:
|
| 473 |
+
fp, dbg = download_scoring_file(task_id, api_url=self.api_url)
|
| 474 |
+
if DEBUG_ATTACH:
|
| 475 |
+
debug += "\n".join(dbg) + "\n"
|
| 476 |
+
if fp:
|
| 477 |
+
ans = self._solve_from_file(q, fp)
|
| 478 |
+
if ans:
|
| 479 |
+
return sanitize_answer(ans), debug
|
| 480 |
+
|
| 481 |
+
return "", debug.strip()
|
| 482 |
|
| 483 |
def _solve_from_file(self, q: str, fp: Path) -> Optional[str]:
|
| 484 |
suf = fp.suffix.lower()
|
| 485 |
ql = q.lower()
|
|
|
|
|
|
|
| 486 |
if ("attached excel file" in ql) or (suf in [".xlsx", ".xls"]):
|
| 487 |
+
return solve_excel_food_sales(fp)
|
|
|
|
|
|
|
|
|
|
|
|
|
| 488 |
if ("attached python code" in ql) or (suf in [".py", ".txt"]):
|
| 489 |
+
return solve_python_final_numeric(fp)
|
| 490 |
+
# mp3 tasks intentionally skipped (no audio pipeline)
|
|
|
|
|
|
|
|
|
|
| 491 |
return None
|
| 492 |
|
| 493 |
|
| 494 |
# -----------------------------
|
| 495 |
+
# Runner
|
| 496 |
# -----------------------------
|
| 497 |
def run_and_submit_all(profile: gr.OAuthProfile | None = None):
|
| 498 |
try:
|
|
|
|
| 500 |
|
| 501 |
if profile and getattr(profile, "username", None):
|
| 502 |
username = profile.username
|
|
|
|
| 503 |
else:
|
| 504 |
return "❌ 沒拿到登入資訊。請先按 Login,再按 Run。", None
|
| 505 |
|
|
|
|
| 513 |
if space_id
|
| 514 |
else "https://huggingface.co/spaces/UNKNOWN/tree/main"
|
| 515 |
)
|
|
|
|
| 516 |
|
|
|
|
| 517 |
r = requests.get(questions_url, timeout=45)
|
| 518 |
r.raise_for_status()
|
| 519 |
questions_data = r.json()
|
|
|
|
| 520 |
if not questions_data:
|
| 521 |
return "❌ questions 是空的,API 沒回題目。", None
|
| 522 |
|
|
|
|
| 527 |
for item in questions_data:
|
| 528 |
task_id = item.get("task_id")
|
| 529 |
question_text = item.get("question", "")
|
|
|
|
| 530 |
if not task_id or question_text is None:
|
| 531 |
continue
|
| 532 |
|
| 533 |
+
submitted_answer, debug = agent(question_text, item)
|
| 534 |
|
|
|
|
| 535 |
if isinstance(submitted_answer, str) and submitted_answer.strip() == "":
|
| 536 |
skipped += 1
|
| 537 |
+
results_log.append({
|
| 538 |
+
"Task ID": task_id,
|
| 539 |
+
"Question": question_text,
|
| 540 |
+
"Submitted Answer": "SKIPPED",
|
| 541 |
+
"Debug": debug if DEBUG_ATTACH else ""
|
| 542 |
+
})
|
| 543 |
continue
|
| 544 |
|
| 545 |
answers_payload.append({"task_id": task_id, "submitted_answer": submitted_answer})
|
| 546 |
+
results_log.append({
|
| 547 |
+
"Task ID": task_id,
|
| 548 |
+
"Question": question_text,
|
| 549 |
+
"Submitted Answer": submitted_answer,
|
| 550 |
+
"Debug": debug if DEBUG_ATTACH else ""
|
| 551 |
+
})
|
| 552 |
|
| 553 |
if not answers_payload:
|
| 554 |
return "⚠️ 全部 SKIPPED(代表目前沒有穩定可解題,或附件抓不到)。", pd.DataFrame(results_log)
|
|
|
|
| 559 |
"answers": answers_payload,
|
| 560 |
}
|
| 561 |
|
|
|
|
| 562 |
r2 = requests.post(submit_url, json=submission_data, timeout=180)
|
| 563 |
r2.raise_for_status()
|
| 564 |
result_data = r2.json()
|
|
|
|
| 580 |
|
| 581 |
|
| 582 |
# -----------------------------
|
| 583 |
+
# UI
|
| 584 |
# -----------------------------
|
| 585 |
with gr.Blocks() as demo:
|
| 586 |
gr.Markdown("# Basic Agent Evaluation Runner (No Paid Model)")
|
| 587 |
gr.Markdown(
|
| 588 |
"""
|
| 589 |
+
1) Login
|
| 590 |
+
2) Click **Run Evaluation & Submit All Answers**
|
| 591 |
+
|
| 592 |
+
✅ This version adds **Debug** column for attachment tasks, showing tried URLs and status codes.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 593 |
"""
|
| 594 |
)
|
| 595 |
|