Spaces:
Sleeping
Sleeping
File size: 9,311 Bytes
afd56bc | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 | """
Klient HTTP do API NCBR (Narodowe Centrum Badań i Rozwoju).
Pobiera aktualne konkursy i nabory z zakresu B+R+I.
Źródła:
- https://www.ncbr.gov.pl/programy/ (scraping)
- Oficjalny JSON feed jeśli dostępny
Cache: współdzielony z PARP — folder cache/ z TTL 24h.
"""
import os
import json
import logging
import hashlib
from datetime import datetime, timedelta, timezone
from typing import Optional
from pathlib import Path
import httpx
logger = logging.getLogger(__name__)
CACHE_DIR = Path(__file__).parent.parent / "cache"
CACHE_DIR.mkdir(exist_ok=True)
NCBR_CACHE_FILE = CACHE_DIR / "ncbr_nabory.json"
NCBR_CACHE_TTL_HOURS = 4
NCBR_BASE_URL = "https://www.ncbr.gov.pl"
NCBR_PROGRAMS_URL = f"{NCBR_BASE_URL}/programy/"
class NCBRClient:
"""
Klient pobierający aktualne nabory z NCBR.
Analogiczna architektura jak PARPClient — cache 24h, scraping fallback.
"""
def _load_cache(self) -> Optional[dict]:
if not NCBR_CACHE_FILE.exists():
return None
try:
with open(NCBR_CACHE_FILE, "r", encoding="utf-8") as f:
data = json.load(f)
fetched_at = datetime.fromisoformat(data.get("fetched_at", "2000-01-01"))
if fetched_at.tzinfo is None:
fetched_at = fetched_at.replace(tzinfo=timezone.utc)
if datetime.now(timezone.utc) - fetched_at < timedelta(
hours=NCBR_CACHE_TTL_HOURS
):
logger.info(f"NCBR cache hit — {len(data.get('nabory', []))} naborów.")
return data
except Exception as e:
logger.warning(f"Błąd odczytu NCBR cache: {e}")
return None
def _save_cache(self, nabory: list) -> None:
try:
payload = {
"fetched_at": datetime.now(timezone.utc).isoformat(),
"nabory": nabory,
}
with open(NCBR_CACHE_FILE, "w", encoding="utf-8") as f:
json.dump(payload, f, ensure_ascii=False, indent=2)
logger.info(f"Zapisano {len(nabory)} naborów NCBR do cache.")
except Exception as e:
logger.warning(f"Błąd zapisu NCBR cache: {e}")
async def _fetch_live(self) -> list:
"""
Pobiera zaktualizowaną, autentyczną bazę gwarantowanych naborów używając Firecrawl,
filtrując przedawnione. Odrzuca dawne "twarde" dane testowe.
"""
import os
import requests
from core.date_utils import filter_outdated_grants
logger.info("Rozpoczynam pobieranie na żywo naborów NCBR...")
api_key = os.getenv("FIRECRAWL_API_KEY")
all_grants = []
if api_key:
logger.info("Używam Firecrawl do ominięcia zabezpieczeń NCBR...")
try:
resp = requests.post(
"https://api.firecrawl.dev/v1/scrape",
headers={"Authorization": f"Bearer {api_key}"},
json={"url": NCBR_PROGRAMS_URL, "formats": ["markdown"]},
timeout=30.0
)
if resp.status_code == 200:
data = resp.json()
md = data.get("data", {}).get("markdown", "")
if md:
all_grants = await self._parse_firecrawl_markdown(md)
logger.info(f"Firecrawl zwrócił {len(all_grants)} naborów z NCBR.")
else:
logger.warning(f"Błąd Firecrawl API (NCBR): {resp.status_code} - {resp.text}")
except Exception as e:
logger.error(f"Wyjątek podczas wywołania Firecrawl API (NCBR): {e}")
else:
logger.warning("Brak klucza FIRECRAWL_API_KEY. Zostanie użyty parser HTTPX.")
if not all_grants:
logger.info("Próba pobrania przez HTTPX / BeautifulSoup...")
try:
async with httpx.AsyncClient(timeout=15.0, follow_redirects=True, verify=False) as client:
headers = {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36"}
response = await client.get(NCBR_PROGRAMS_URL, headers=headers)
if response.status_code == 200:
all_grants = self._parse_html(response.text)
logger.info(f"HTTPX zwrócił {len(all_grants)} naborów ze strony NCBR.")
except Exception as e:
logger.error(f"Błąd podczas scrapowania NCBR HTML: {e}")
# Filtrowanie przestarzałych dat
active_grants = filter_outdated_grants(all_grants)
return active_grants
async def _parse_firecrawl_markdown(self, md: str) -> list:
"""Skanuje markdown za pomocą LLM w celu wydobycia listy naborów."""
try:
from core.llm_router import get_llm
from pydantic import BaseModel, Field
from typing import List
class Grant(BaseModel):
name: str = Field(description="Tytuł naboru/grantu/konkursu NCBR")
url: str = Field(description="Adres URL do naboru, jeśli podany. Pozostaw puste jeśli brak.")
deadline: str = Field(default="", description="Termin składania wniosków (deadline) w formacie YYYY-MM-DD. Jeśli podano tylko do kiedy, zgadnij datę. Jeśli brak, zostaw puste.")
class GrantsList(BaseModel):
grants: List[Grant]
llm = get_llm("fast").with_structured_output(GrantsList)
md_subset = md[:10000]
prompt = f"Wydobądź listę aktualnych naborów lub programów dotacyjnych z poniższego tekstu Markdown:\n\n{md_subset}"
result = await llm.ainvoke(prompt)
nabory = []
for g in result.grants:
uid = hashlib.md5(g.name.encode()).hexdigest()[:12]
if g.url and g.url.startswith("http"):
url = g.url
elif g.url and g.url.startswith("/"):
url = NCBR_BASE_URL + g.url
else:
url = NCBR_PROGRAMS_URL
nabory.append({
"id": uid,
"name": g.name,
"program": "NCBR",
"status": "active",
"url": url,
"deadline": g.deadline,
"source": "ncbr_scrape",
"fetched_at": datetime.now(timezone.utc).isoformat(),
})
return nabory
except Exception as e:
logger.warning(f"Błąd parsowania markdowna z LLM (NCBR): {e}")
return []
def _parse_html(self, html: str) -> list:
"""Parsuje HTML NCBR — uproszczony parser."""
try:
from bs4 import BeautifulSoup
soup = BeautifulSoup(html, "html.parser")
items = soup.select(".program-item, .tile, article")[:15]
nabory = []
for item in items:
title_el = item.select_one("h2, h3, .title, a")
title = (
title_el.get_text(strip=True) if title_el else "Nieznany program"
)
link_el = item.select_one("a[href]")
if link_el:
href = link_el["href"]
url = href if href.startswith("http") else (NCBR_BASE_URL + href if href.startswith("/") else NCBR_BASE_URL + "/" + href)
else:
url = NCBR_BASE_URL
uid = hashlib.md5(title.encode()).hexdigest()[:12]
nabory.append(
{
"id": uid,
"name": title,
"program": "NCBR",
"status": "active",
"url": url,
"source": "ncbr_scrape",
"fetched_at": datetime.now(timezone.utc).isoformat(),
}
)
return nabory
except Exception:
return []
def _enrich_urls(self, nabory: list) -> None:
import urllib.parse
for n in nabory:
q_eur = n.get("program") or n.get("name", "")
q_gov = n.get("name", "")
if "eurlex_url" not in n:
n["eurlex_url"] = f"https://eur-lex.europa.eu/search.html?scope=EURLEX&text={urllib.parse.quote(q_eur)}&lang=pl&type=quick"
if "official_doc_url" not in n:
n["official_doc_url"] = f"https://www.funduszeeuropejskie.gov.pl/wyszukiwarka/mikro-male-i-srednie-przedsiebiorstwa/#/szukaj?search={urllib.parse.quote(q_gov)}"
async def get_active_nabory(self, force_refresh: bool = False) -> list:
if not force_refresh:
cached = self._load_cache()
if cached:
nabory = cached["nabory"]
self._enrich_urls(nabory)
return nabory
nabory = await self._fetch_live()
self._enrich_urls(nabory)
self._save_cache(nabory)
return nabory
# Singleton
ncbr_client = NCBRClient()
|