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0232c1f 8728df8 0232c1f 8728df8 0232c1f 8728df8 0232c1f | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 | """Adaugă entități noi în verified_events.json fără să șteargă cele existente.
Rulare:
python scripts/update_reference_kg.py
"""
from __future__ import annotations
import json
import logging
import sys
import time
from datetime import datetime
from pathlib import Path
_PROJECT_ROOT = Path(__file__).parent.parent
if str(_PROJECT_ROOT) not in sys.path:
sys.path.insert(0, str(_PROJECT_ROOT))
logging.basicConfig(
level=logging.INFO,
format="%(asctime)s %(levelname)s %(message)s",
datefmt="%H:%M:%S",
)
logger = logging.getLogger("update_reference_kg")
OUTPUT_FILE = _PROJECT_ROOT / "data" / "reference_kg" / "verified_events.json"
QUERY_DELAY = 1.5
NEW_ENTITIES = [
# UK Politicians
{"name": "Keir Starmer", "qid": "Q23497151", "category": "uk_politician"},
{"name": "Tony Blair", "qid": "Q9682", "category": "uk_politician"},
{"name": "Rishi Sunak", "qid": "Q63455796", "category": "uk_politician"},
{"name": "Boris Johnson", "qid": "Q327407", "category": "uk_politician"},
{"name": "Theresa May", "qid": "Q264766", "category": "uk_politician"},
{"name": "Gordon Brown", "qid": "Q3936", "category": "uk_politician"},
{"name": "Wes Streeting", "qid": "Q7983907", "category": "uk_politician"},
{"name": "Andy Burnham", "qid": "Q4759326", "category": "uk_politician"},
{"name": "Nicola Sturgeon", "qid": "Q329938", "category": "uk_politician"},
{"name": "Margaret Thatcher", "qid": "Q7837", "category": "uk_politician"},
# EU Politicians
{"name": "Donald Tusk", "qid": "Q946", "category": "eu_politician"},
{"name": "Emmanuel Macron", "qid": "Q3052772", "category": "eu_politician"},
{"name": "Olaf Scholz", "qid": "Q61053", "category": "eu_politician"},
{"name": "Ursula von der Leyen", "qid": "Q21023677", "category": "eu_politician"},
# US Politicians
{"name": "Ken Paxton", "qid": "Q7383626", "category": "us_politician"},
# US Presidents — historical
{"name": "Richard Nixon", "qid": "Q9588", "category": "us_president"},
{"name": "Gerald Ford", "qid": "Q9582", "category": "us_president"},
{"name": "Lyndon B. Johnson", "qid": "Q9597", "category": "us_president"},
{"name": "Dwight Eisenhower", "qid": "Q9586", "category": "us_president"},
{"name": "John F. Kennedy", "qid": "Q9574", "category": "us_president"},
{"name": "Harry Truman", "qid": "Q9583", "category": "us_president"},
]
def _wikidata_facts_to_entries(name: str, qid: str, wikidata_facts: list) -> list[dict]:
"""Convertește WikidataFact-uri în formatul reference KG, filtrând datele eronate."""
result = []
for wf in wikidata_facts:
start_year = wf.time_start.year if wf.time_start else None
# Fix P569: filtrează faptele cu date eronate din Wikidata
if start_year is not None and start_year < 1900:
logger.debug(f" skip '{wf.value_label}' — start_year={start_year} < 1900")
continue
entry: dict = {
"entity": name,
"entity_id": qid,
"position": wf.value_label,
"property": wf.property_id,
}
if wf.time_start:
entry["start_year"] = wf.time_start.year
entry["start_date"] = wf.time_start.strftime("%Y-%m-%d")
if wf.time_end:
entry["end_year"] = wf.time_end.year
entry["end_date"] = wf.time_end.strftime("%Y-%m-%d")
if wf.time_point:
entry["point_year"] = wf.time_point.year
entry["point_date"] = wf.time_point.strftime("%Y-%m-%d")
result.append(entry)
return result
def fetch_facts(name: str, qid: str) -> tuple[list[dict], str]:
"""Fetch P39 + P463 din Wikidata. Returnează (fapte, qid_folosit).
Dacă QID-ul dat returnează 0 fapte, încearcă automat search_entity_full(name)
și folosește primul rezultat cu QID diferit.
"""
from backend.pipeline.verification.wikidata import WikidataClient
client = WikidataClient()
raw_facts = client.get_temporal_facts(qid, relation_properties=["P39", "P463"])
if not raw_facts:
logger.warning(f" 0 fapte pentru {name} ({qid}) — încearcă search_entity_full")
time.sleep(QUERY_DELAY)
search_results = client.search_entity_full(name)
if search_results:
candidate = search_results[0]
candidate_qid = candidate["id"]
candidate_label = candidate.get("label", "")
candidate_desc = candidate.get("description", "")
if candidate_qid != qid:
logger.info(
f" QID corectat: {qid} -> {candidate_qid} "
f"({candidate_label} — {candidate_desc})"
)
time.sleep(QUERY_DELAY)
raw_facts = client.get_temporal_facts(
candidate_qid, relation_properties=["P39", "P463"]
)
if raw_facts:
qid = candidate_qid
logger.info(f" -> {len(raw_facts)} fapte cu QID corectat")
else:
logger.warning(f" QID corectat {candidate_qid} returnează tot 0 fapte")
else:
logger.warning(f" search_entity_full a returnat același QID {qid} — 0 fapte finale")
else:
logger.warning(f" search_entity_full nu a găsit rezultate pentru '{name}'")
facts = _wikidata_facts_to_entries(name, qid, raw_facts)
return facts, qid
def main() -> None:
import argparse
parser = argparse.ArgumentParser()
parser.add_argument(
"--refetch-empty",
action="store_true",
help="Re-fetch fapte pentru entitati cu 0 fapte in KG",
)
args = parser.parse_args()
# 1. Încarcă KG-ul existent
if not OUTPUT_FILE.exists():
logger.error(f"Fisierul {OUTPUT_FILE} nu exista. Ruleaza build_reference_kg.py intai.")
sys.exit(1)
with open(OUTPUT_FILE, encoding="utf-8") as f:
data = json.load(f)
entities: list[dict] = data.get("entities", [])
# 2. Index după nume (case-insensitive)
existing_names = {e["name"].lower() for e in entities}
print(f"\nKG existent: {len(entities)} entitati, {data.get('total_facts', '?')} fapte")
# Modul --refetch-empty: re-fetch entitati cu 0 fapte
if args.refetch_empty:
empty = [e for e in entities if len(e.get("facts", [])) == 0]
print(f"Entitati cu 0 fapte: {len(empty)}\n")
updated_count = 0
updated_facts = 0
for entity in empty:
name = entity["name"]
qid = entity["qid"]
logger.info(f" Refetch: {name} ({qid})")
try:
facts, used_qid = fetch_facts(name, qid)
except Exception as e:
logger.warning(f" EROARE la {name}: {e}")
time.sleep(QUERY_DELAY)
continue
if facts:
entity["facts"] = facts
entity["qid"] = used_qid
entity["fetched_at"] = datetime.now().isoformat()
updated_count += 1
updated_facts += len(facts)
logger.info(f" UPDATED: {name} -> {len(facts)} fapte noi")
else:
logger.info(f" NO DATA: {name} — 0 fapte si dupa retry")
time.sleep(QUERY_DELAY)
total_facts = sum(len(e.get("facts", [])) for e in entities)
data["entities"] = entities
data["total_entities"] = len(entities)
data["total_facts"] = total_facts
data["generated_at"] = datetime.now().isoformat()
with open(OUTPUT_FILE, "w", encoding="utf-8") as f:
json.dump(data, f, indent=2, ensure_ascii=False)
print(f"\nRezultat --refetch-empty:")
print(f" Entitati actualizate : {updated_count} / {len(empty)}")
print(f" Fapte noi total : {updated_facts}")
print(f" Total fapte in KG : {total_facts}")
print(f" Salvat in : {OUTPUT_FILE}\n")
return
print(f"Entitati noi de procesat: {len(NEW_ENTITIES)}\n")
added_entities = 0
added_facts = 0
skipped = 0
# 3. Adaugă entitățile noi
for entity in NEW_ENTITIES:
name = entity["name"]
qid = entity["qid"]
category = entity["category"]
if name.lower() in existing_names:
logger.info(f" SKIP (exista deja): {name}")
skipped += 1
continue
logger.info(f" Fetch: {name} ({qid}) [{category}]")
try:
facts, used_qid = fetch_facts(name, qid)
except Exception as e:
logger.warning(f" EROARE la {name}: {e}")
continue
if used_qid != qid:
logger.info(f" QID salvat in KG: {used_qid} (corectat de la {qid})")
entities.append({
"name": name,
"qid": used_qid,
"category": category,
"facts": facts,
"fetched_at": datetime.now().isoformat(),
})
existing_names.add(name.lower())
added_entities += 1
added_facts += len(facts)
logger.info(f" -> {len(facts)} fapte adaugate pentru {name}")
time.sleep(QUERY_DELAY)
# 4. Actualizează metadatele
total_facts = sum(len(e.get("facts", [])) for e in entities)
data["entities"] = entities
data["total_entities"] = len(entities)
data["total_facts"] = total_facts
data["generated_at"] = datetime.now().isoformat()
# 5. Salvează
with open(OUTPUT_FILE, "w", encoding="utf-8") as f:
json.dump(data, f, indent=2, ensure_ascii=False)
print(f"\nRezultat:")
print(f" Entitati noi adaugate : {added_entities}")
print(f" Fapte noi adaugate : {added_facts}")
print(f" Sarite (deja exista) : {skipped}")
print(f" Total entitati in KG : {len(entities)}")
print(f" Total fapte in KG : {total_facts}")
print(f" Salvat in : {OUTPUT_FILE}\n")
if __name__ == "__main__":
main()
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