Files
Anime-Movies-Upcomming-Real…/data_sources/animeschedule_source.py
2026-04-22 10:04:59 +02:00

262 lines
7.6 KiB
Python

#!/usr/bin/env python3
from __future__ import annotations
import json
import urllib.parse
import urllib.request
ANIMESCHEDULE_API_BASE = "https://animeschedule.net/api/v3"
def normalize_title(text: str) -> str:
cleaned = "".join(ch.lower() if ch.isalnum() else " " for ch in (text or ""))
return " ".join(cleaned.split())
def flatten_items(payload: dict | list) -> list[dict]:
if isinstance(payload, list):
return [item for item in payload if isinstance(item, dict)]
if not isinstance(payload, dict):
return []
for key in ("anime", "items", "data", "results"):
value = payload.get(key)
if isinstance(value, list):
return [item for item in value if isinstance(item, dict)]
return []
def extract_names(item: dict) -> list[str]:
names = []
direct = [item.get("title"), item.get("name"), item.get("romaji"), item.get("english"), item.get("native")]
for candidate in direct:
text = (candidate or "").strip()
if text:
names.append(text)
nested = item.get("names") or {}
if isinstance(nested, dict):
for candidate in nested.values():
if isinstance(candidate, list):
for value in candidate:
text = (str(value) if value is not None else "").strip()
if text:
names.append(text)
continue
text = (str(candidate) if candidate is not None else "").strip()
if text:
names.append(text)
unique = []
seen = set()
for name in names:
lowered = name.lower()
if lowered in seen:
continue
seen.add(lowered)
unique.append(name)
return unique
def extract_url(item: dict) -> str:
slug = (item.get("slug") or item.get("route") or item.get("id") or "").strip()
if slug:
return f"https://animeschedule.net/anime/{slug}"
websites = item.get("websites") or item.get("links") or []
if isinstance(websites, list):
for entry in websites:
if not isinstance(entry, dict):
continue
url = (entry.get("url") or "").strip()
if url:
return url
return ""
def extract_english_title(item: dict) -> str:
direct = [item.get("english"), item.get("titleEnglish"), item.get("englishTitle")]
for candidate in direct:
text = (candidate or "").strip()
if text:
return text
names = item.get("names") or {}
if isinstance(names, dict):
for key, value in names.items():
key_norm = str(key).strip().lower()
if key_norm in {"en", "eng", "english", "titleenglish"}:
text = (str(value) if value is not None else "").strip()
if text:
return text
return ""
def extract_list(item: dict, *keys: str) -> str:
for key in keys:
value = item.get(key)
if not value:
continue
if isinstance(value, str):
text = value.strip()
if text:
return text
if isinstance(value, list):
names = []
for entry in value:
if isinstance(entry, str):
text = entry.strip()
elif isinstance(entry, dict):
text = (entry.get("name") or entry.get("title") or "").strip()
else:
text = ""
if text:
names.append(text)
if names:
return ", ".join(names)
return ""
def extract_format(item: dict) -> str:
for key in ("format", "mediaType", "type"):
value = item.get(key)
text = (str(value) if value is not None else "").strip()
if text:
return text
return ""
def extract_description(item: dict) -> str:
for key in ("description", "synopsis", "overview", "summary"):
value = item.get(key)
text = (str(value) if value is not None else "").strip()
if text:
return text
details = item.get("details") or {}
if isinstance(details, dict):
for key in ("description", "synopsis", "overview", "summary"):
value = details.get(key)
text = (str(value) if value is not None else "").strip()
if text:
return text
return ""
def empty_result() -> dict:
return {
"url": "",
"title": "",
"english_title": "",
"format": "",
"genres": "",
"studios": "",
"description": "",
"names": [],
"match_score": 0,
"raw": {},
}
def title_match_score(wanted: str, names: list[str]) -> int:
wanted_norm = normalize_title(wanted)
if not wanted_norm:
return 0
best = 0
wanted_parts = wanted_norm.split(" ")
for candidate in names:
normalized = normalize_title(candidate)
if not normalized:
continue
if normalized == wanted_norm:
best = max(best, 4)
continue
if wanted_norm in normalized or normalized in wanted_norm:
best = max(best, 3)
continue
normalized_parts = normalized.split(" ")
if normalized_parts[:2] == wanted_parts[:2] and len(normalized_parts) >= 2 and len(wanted_parts) >= 2:
best = max(best, 2)
continue
if set(normalized_parts) & set(wanted_parts):
best = max(best, 1)
return best
def fetch_animeschedule_anime_by_title(title: str, token: str, cache: dict[str, dict]) -> dict:
key = normalize_title(title)
if key in cache:
return cache[key]
if not token:
cache[key] = empty_result()
return cache[key]
params = {"search": title, "take": "10"}
url = ANIMESCHEDULE_API_BASE + "/anime?" + urllib.parse.urlencode(params)
req = urllib.request.Request(
url,
headers={
"Accept": "application/json",
"Authorization": f"Bearer {token}",
"User-Agent": "anime-movies-script/1.0",
},
)
try:
with urllib.request.urlopen(req, timeout=20) as resp:
payload = json.loads(resp.read().decode("utf-8"))
except Exception:
cache[key] = empty_result()
return cache[key]
candidates = flatten_items(payload)
if not candidates:
cache[key] = empty_result()
return cache[key]
best = None
best_score = -1
for item in candidates:
names = extract_names(item)
if not names:
continue
score = title_match_score(title, names)
if score <= 0:
continue
if score > best_score:
best_score = score
best = item
if score == 4:
break
if not best:
cache[key] = empty_result()
return cache[key]
names = extract_names(best)
cache[key] = {
"url": extract_url(best),
"title": names[0] if names else "",
"english_title": extract_english_title(best),
"format": extract_format(best),
"genres": extract_list(best, "genres", "genre", "categories"),
"studios": extract_list(best, "studios", "studio"),
"description": extract_description(best),
"names": names,
"match_score": best_score,
"raw": best,
}
return cache[key]