Files
notes-qpid-pro/app/dictionary.py
T
Antigravity 438dfdb055 feat(perf): implement HTTP connection pooling with httpx.AsyncClient singleton and Keep-Alive
- get_http_client: singleton AsyncClient with limits(max_keepalive=10, max_connections=20, keepalive_expiry=60s)
- close_http_client: clean socket pool teardown in FastAPI lifespan shutdown
- refactor dictionary fetchers to reuse pooled client and avoid 5x TLS handshakes per word lookup
- add test_http_connection_pooling (22/22 pytest passed)
2026-10-06 11:34:31 +03:00

317 lines
11 KiB
Python

import json
import re
import urllib.parse
from typing import Optional, Dict, Any, List
import httpx
from app import config
from app.database import get_db
USER_AGENT = "NotesApp/1.0 (https://notes.qpid.pro; admin@qpid.pro)"
_http_client: Optional[httpx.AsyncClient] = None
def get_http_client() -> httpx.AsyncClient:
"""
Returns a shared singleton httpx.AsyncClient instance with connection pooling and Keep-Alive.
Reuses persistent TCP/TLS connections to dictionary providers (Wiktionary, Datamuse, MyMemory)
eliminating 300-600ms of repeated connection handshakes per word lookup.
"""
global _http_client
if _http_client is None or _http_client.is_closed:
limits = httpx.Limits(max_keepalive_connections=10, max_connections=20, keepalive_expiry=60.0)
timeout = httpx.Timeout(connect=3.0, read=4.0, write=3.0, pool=3.0)
_http_client = httpx.AsyncClient(
limits=limits,
timeout=timeout,
headers={"User-Agent": USER_AGENT},
follow_redirects=True
)
return _http_client
async def close_http_client():
"""
Closes the shared singleton HTTP client on application shutdown.
"""
global _http_client
if _http_client is not None and not _http_client.is_closed:
await _http_client.aclose()
_http_client = None
async def fetch_wiktionary_wikitext(word: str, client: Optional[httpx.AsyncClient] = None) -> Dict[str, Any]:
url = "https://en.wiktionary.org/w/api.php"
params = {
"action": "parse",
"page": word,
"prop": "wikitext",
"format": "json"
}
try:
http = client or get_http_client()
resp = await http.get(url, params=params, timeout=4.0)
if resp.status_code == 200:
data = resp.json()
wikitext = data.get("parse", {}).get("wikitext", {}).get("*", "")
# Extract IPA
ipa_raw = re.findall(r"\{\{IPA\|en\|([^}]+)\}\}", wikitext)
ipa_cleaned = []
for entry in ipa_raw:
parts = entry.split("|")
for p in parts:
if p.startswith("/"):
ipa_cleaned.append(p)
# Extract Russian translations
ru_raw = re.findall(r"\{\{t[+-]?\|ru\|([^|}]+)", wikitext)
ru_cleaned = []
for r in ru_raw:
clean = r.replace("[[", "").replace("]]", "").strip()
if clean and clean not in ru_cleaned:
ru_cleaned.append(clean)
return {
"ipa": ipa_cleaned,
"audio": [],
"ru_translations": ru_cleaned
}
except Exception:
pass
return {"ipa": [], "audio": [], "ru_translations": []}
async def fetch_wiktionary_definitions(word: str, client: Optional[httpx.AsyncClient] = None) -> Dict[str, Any]:
url = f"https://en.wiktionary.org/api/rest_v1/page/definition/{urllib.parse.quote(word)}"
try:
http = client or get_http_client()
resp = await http.get(url, timeout=4.0)
if resp.status_code == 200:
data = resp.json()
en_entries = data.get("en", [])
parts_of_speech = []
definitions = []
examples = []
for entry in en_entries:
pos = entry.get("partOfSpeech")
if pos and pos not in parts_of_speech:
parts_of_speech.append(pos)
for d in entry.get("definitions", []):
raw_def = d.get("definition", "")
clean_def = re.sub(r"<[^>]+>", "", raw_def).strip()
if clean_def and clean_def not in definitions:
definitions.append(clean_def)
for ex in d.get("examples", []):
clean_ex = re.sub(r"<[^>]+>", "", ex).strip()
if clean_ex and clean_ex not in examples:
examples.append(clean_ex)
return {
"parts_of_speech": parts_of_speech,
"definitions": definitions[:4],
"examples": examples[:3]
}
except Exception:
pass
return {"parts_of_speech": [], "definitions": [], "examples": []}
async def fetch_datamuse(word: str, client: Optional[httpx.AsyncClient] = None) -> Dict[str, Any]:
url = "https://api.datamuse.com/words"
params = {"sp": word, "md": "drp", "ipa": "1"}
try:
http = client or get_http_client()
resp = await http.get(url, params=params, timeout=3.0)
if resp.status_code == 200:
items = resp.json()
if items and isinstance(items, list):
first = items[0]
tags = first.get("tags", [])
ipa = None
pos = None
for t in tags:
if t.startswith("ipa_pron:"):
ipa = "/" + t.split(":", 1)[1] + "/"
elif t in ("n", "v", "adj", "adv"):
pos_map = {"n": "Noun", "v": "Verb", "adj": "Adjective", "adv": "Adverb"}
pos = pos_map.get(t)
defs = []
for d in first.get("defs", []):
parts = d.split("\t", 1)
defs.append(parts[1].strip() if len(parts) > 1 else parts[0].strip())
return {
"ipa": ipa,
"part_of_speech": pos,
"definitions": defs[:3]
}
except Exception:
pass
return {"ipa": None, "part_of_speech": None, "definitions": []}
async def fetch_mymemory(query: str, client: Optional[httpx.AsyncClient] = None) -> Dict[str, Any]:
url = "https://api.mymemory.translated.net/get"
params = {
"q": query,
"langpair": "en|ru",
"de": config.MYMEMORY_EMAIL
}
try:
http = client or get_http_client()
resp = await http.get(url, params=params, timeout=4.0)
if resp.status_code == 200:
data = resp.json()
main_trans = data.get("responseData", {}).get("translatedText", "").strip()
matches = data.get("matches", [])
alt_list = []
if main_trans:
alt_list.append(main_trans)
for m in matches:
t = m.get("translation", "").strip()
if t and t not in alt_list and t.lower() != query.lower():
alt_list.append(t)
return {
"translation": main_trans,
"matches": alt_list[:6]
}
except Exception:
pass
return {"translation": "", "matches": []}
async def fetch_free_dictionary_api(word: str, client: Optional[httpx.AsyncClient] = None) -> Dict[str, Any]:
"""Optional tier: api.dictionaryapi.dev with fast timeout."""
url = f"https://api.dictionaryapi.dev/api/v2/entries/en/{urllib.parse.quote(word)}"
try:
http = client or get_http_client()
resp = await http.get(url, timeout=1.5)
if resp.status_code == 200:
data = resp.json()[0]
phonetic = data.get("phonetic")
audio_url = None
for p in data.get("phonetics", []):
if p.get("audio"):
audio_url = p.get("audio")
break
return {
"phonetic": phonetic,
"audio_url": audio_url
}
except Exception:
pass
return {"phonetic": None, "audio_url": None}
async def lookup_term(query: str) -> Dict[str, Any]:
query_clean = query.strip()
if not query_clean:
return {}
# Check cache first
with get_db() as conn:
row = conn.execute(
"SELECT response_json FROM dictionary_cache WHERE query = ?",
(query_clean,)
).fetchone()
if row:
try:
return json.loads(row["response_json"])
except Exception:
pass
words = query_clean.split()
is_sentence = len(words) > 4
result: Dict[str, Any] = {
"query": query_clean,
"is_sentence": is_sentence,
"translation": "",
"translations_list": [],
"phonetic": "",
"audio_file": "",
"audio_url": "",
"part_of_speech": "",
"definitions": [],
"examples": []
}
# Parallel queries via asyncio
import asyncio
http_client = get_http_client()
if is_sentence:
# For long sentences, primary focus is translation
mm_data = await fetch_mymemory(query_clean, client=http_client)
result["translation"] = mm_data.get("translation", "")
result["translations_list"] = mm_data.get("matches", [])
else:
# For words and short phrases: reuse keep-alive connections across providers
tasks = [
fetch_wiktionary_wikitext(query_clean, client=http_client),
fetch_wiktionary_definitions(query_clean, client=http_client),
fetch_datamuse(query_clean, client=http_client),
fetch_mymemory(query_clean, client=http_client),
fetch_free_dictionary_api(query_clean, client=http_client)
]
w_wiki, w_defs, d_muse, mm_data, free_dict = await asyncio.gather(*tasks)
# 1. Phonetic IPA
if free_dict.get("phonetic"):
result["phonetic"] = free_dict["phonetic"]
elif w_wiki.get("ipa"):
result["phonetic"] = w_wiki["ipa"][0]
elif d_muse.get("ipa"):
result["phonetic"] = d_muse["ipa"]
# 2. Audio URL / File (Disabled)
result["audio_file"] = ""
result["audio_url"] = ""
# 3. Part of Speech
if w_defs.get("parts_of_speech"):
result["part_of_speech"] = ", ".join(w_defs["parts_of_speech"][:2])
elif d_muse.get("part_of_speech"):
result["part_of_speech"] = d_muse["part_of_speech"]
# 4. Definitions & Examples
if w_defs.get("definitions"):
result["definitions"] = w_defs["definitions"]
elif d_muse.get("definitions"):
result["definitions"] = d_muse["definitions"]
if w_defs.get("examples"):
result["examples"] = w_defs["examples"]
# 5. Translations
candidates = []
# Wiktionary curated Russian translations
for t in w_wiki.get("ru_translations", []):
if t not in candidates:
candidates.append(t)
# MyMemory translation
for t in mm_data.get("matches", []):
if t and t not in candidates and t.lower() != query_clean.lower():
candidates.append(t)
if candidates:
result["translation"] = ", ".join(candidates[:3])
result["translations_list"] = candidates
else:
result["translation"] = mm_data.get("translation", "")
result["translations_list"] = [result["translation"]] if result["translation"] else []
# Alias translation_ru for client compatibility
result["translation_ru"] = result["translation"]
# Store into SQLite cache
with get_db() as conn:
conn.execute(
"INSERT OR REPLACE INTO dictionary_cache (query, response_json) VALUES (?, ?)",
(query_clean, json.dumps(result, ensure_ascii=False))
)
return result