Upload 7 files
Browse files- src/services/html_sanitizer.py +79 -0
- src/services/http_client.py +44 -44
- src/services/rag_service.py +72 -36
src/services/html_sanitizer.py
ADDED
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@@ -0,0 +1,79 @@
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"""Small allow-list sanitizer for answer fragments returned to the browser."""
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from html import escape
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from html.parser import HTMLParser
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from urllib.parse import urlparse
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ALLOWED_TAGS = {"a", "b", "blockquote", "br", "code", "details", "div", "em", "h3", "h4", "hr", "i", "li", "ol", "p", "pre", "span", "strong", "summary", "table", "tbody", "td", "th", "thead", "tr", "ul"}
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VOID_TAGS = {"br", "hr"}
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DROP_CONTENT_TAGS = {"button", "form", "iframe", "input", "math", "object", "script", "style", "svg"}
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GLOBAL_ATTRIBUTES = {"aria-controls", "aria-expanded", "aria-label", "class", "role"}
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TAG_ATTRIBUTES = {"a": {"href", "rel", "target", "title"}, "td": {"colspan", "rowspan"}, "th": {"colspan", "rowspan", "scope"}}
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def _safe_href(value: str) -> str | None:
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candidate = value.strip()
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if not candidate:
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return None
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parsed = urlparse(candidate)
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if parsed.scheme.lower() not in {"https", "mailto", "tel"}:
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return None
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return candidate
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class _Sanitizer(HTMLParser):
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def __init__(self) -> None:
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super().__init__(convert_charrefs=True)
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self.output: list[str] = []
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self.drop_depth = 0
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def handle_starttag(self, tag: str, attrs: list[tuple[str, str | None]]) -> None:
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tag = tag.lower()
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if tag in DROP_CONTENT_TAGS:
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self.drop_depth += 1
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return
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if self.drop_depth or tag not in ALLOWED_TAGS:
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return
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rendered: list[str] = []
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for raw_name, raw_value in attrs:
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name = raw_name.lower()
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if name.startswith("on") or name == "style":
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continue
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if name not in GLOBAL_ATTRIBUTES and name not in TAG_ATTRIBUTES.get(tag, set()):
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continue
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value = raw_value or ""
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if tag == "a" and name == "href":
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value = _safe_href(value) or ""
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if not value:
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continue
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if tag == "a" and name == "target" and value != "_blank":
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continue
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rendered.append(f' {name}="{escape(value, quote=True)}"')
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if tag == "a":
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rendered = [item for item in rendered if not item.startswith(" rel=")]
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rendered.append(' rel="noopener noreferrer"')
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self.output.append(f"<{tag}{''.join(rendered)}>")
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def handle_startendtag(self, tag: str, attrs: list[tuple[str, str | None]]) -> None:
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self.handle_starttag(tag, attrs)
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def handle_endtag(self, tag: str) -> None:
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tag = tag.lower()
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if tag in DROP_CONTENT_TAGS:
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if self.drop_depth:
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self.drop_depth -= 1
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return
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if not self.drop_depth and tag in ALLOWED_TAGS and tag not in VOID_TAGS:
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self.output.append(f"</{tag}>")
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def handle_data(self, data: str) -> None:
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if not self.drop_depth:
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self.output.append(escape(data, quote=False))
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def sanitize_answer_html(value: str) -> str:
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parser = _Sanitizer()
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parser.feed(value or "")
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parser.close()
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return "".join(parser.output)
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src/services/http_client.py
CHANGED
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@@ -1,44 +1,44 @@
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"""Shared outbound HTTP client factory.
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Deliberately plain: the default dual-stack resolver and a moderate timeout.
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History: v3.8.2 pinned outbound sockets to IPv4 (local_address="0.0.0.0") to
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chase a suspected IPv6 routing problem. Analytics writes had been succeeding
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before that change and stopped after it, so the pin is reverted. Forcing a
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local address can break egress in containerised hosts, and the original
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diagnosis was not supported by evidence: a 12s GET failed while an 8s POST to
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the same host succeeded, which rules out plain slowness.
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Set FORCE_IPV4_LOCAL_ADDRESS to "0.0.0.0" only to test that hypothesis again.
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"""
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import logging
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from typing import Optional
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import httpx
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logger = logging.getLogger(__name__)
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# None = let the OS choose (normal dual-stack behaviour). "0.0.0.0" forces IPv4.
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FORCE_IPV4_LOCAL_ADDRESS: Optional[str] = None
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DEFAULT_TIMEOUT = 10.0
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def make_transport(retries: int = 1) -> httpx.AsyncHTTPTransport:
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kwargs = {"retries": retries}
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if FORCE_IPV4_LOCAL_ADDRESS:
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kwargs["local_address"] = FORCE_IPV4_LOCAL_ADDRESS
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try:
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return httpx.AsyncHTTPTransport(**kwargs)
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except Exception as exc:
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logger.warning(f"Custom transport unavailable ({exc}); using default")
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return httpx.AsyncHTTPTransport()
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def make_client(timeout: float = DEFAULT_TIMEOUT, retries: int = 1) -> httpx.AsyncClient:
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"""AsyncClient with a moderate timeout and one transport-level retry."""
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return httpx.AsyncClient(
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timeout=timeout,
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transport=make_transport(retries=retries),
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follow_redirects=True,
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)
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"""Shared outbound HTTP client factory.
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| 3 |
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Deliberately plain: the default dual-stack resolver and a moderate timeout.
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+
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+
History: v3.8.2 pinned outbound sockets to IPv4 (local_address="0.0.0.0") to
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chase a suspected IPv6 routing problem. Analytics writes had been succeeding
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| 7 |
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before that change and stopped after it, so the pin is reverted. Forcing a
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| 8 |
+
local address can break egress in containerised hosts, and the original
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| 9 |
+
diagnosis was not supported by evidence: a 12s GET failed while an 8s POST to
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| 10 |
+
the same host succeeded, which rules out plain slowness.
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| 11 |
+
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| 12 |
+
Set FORCE_IPV4_LOCAL_ADDRESS to "0.0.0.0" only to test that hypothesis again.
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"""
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import logging
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from typing import Optional
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import httpx
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logger = logging.getLogger(__name__)
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# None = let the OS choose (normal dual-stack behaviour). "0.0.0.0" forces IPv4.
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FORCE_IPV4_LOCAL_ADDRESS: Optional[str] = None
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DEFAULT_TIMEOUT = 10.0
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def make_transport(retries: int = 1) -> httpx.AsyncHTTPTransport:
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kwargs = {"retries": retries}
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if FORCE_IPV4_LOCAL_ADDRESS:
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kwargs["local_address"] = FORCE_IPV4_LOCAL_ADDRESS
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try:
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return httpx.AsyncHTTPTransport(**kwargs)
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except Exception as exc:
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logger.warning(f"Custom transport unavailable ({exc}); using default")
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return httpx.AsyncHTTPTransport()
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def make_client(timeout: float = DEFAULT_TIMEOUT, retries: int = 1) -> httpx.AsyncClient:
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"""AsyncClient with a moderate timeout and one transport-level retry."""
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return httpx.AsyncClient(
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timeout=timeout,
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transport=make_transport(retries=retries),
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follow_redirects=True,
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)
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src/services/rag_service.py
CHANGED
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@@ -11,7 +11,8 @@ Fixes applied:
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via a dedicated audit() method to avoid disk reads on every /rag-status poll.
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5. _write / cache saves use os.replace for atomic writes.
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"""
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-
import hashlib
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import json
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import logging
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import os
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@@ -25,8 +26,10 @@ import numpy as np
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from src.config import get_settings
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logger = logging.getLogger(__name__)
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-
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class RAGService:
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@@ -59,9 +62,24 @@ class RAGService:
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digest.update(str(stat.st_size).encode("utf-8"))
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return digest.hexdigest()
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-
def _cache_paths(self) -> tuple[Path, Path, Path]:
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cache_dir = self._cache_dir()
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-
return cache_dir / "faiss_index", cache_dir / "bm25_cache.json", cache_dir / "kb_state.json"
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def _build_reverse_index(self) -> None:
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"""Build O(1) content -> index lookup. Call after any corpus change."""
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@@ -103,7 +121,7 @@ class RAGService:
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)
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self.bm25_corpus = chunks
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self.bm25_meta = metadatas
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-
tokenized = [
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self.bm25 = BM25Okapi(tokenized)
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self._build_reverse_index()
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self._save_cached_indexes()
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@@ -120,16 +138,20 @@ class RAGService:
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| 120 |
return False
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| 121 |
try:
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state = json.loads(state_path.read_text(encoding="utf-8"))
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-
if state.get("kb_hash") != self._kb_hash:
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logger.info("RAGService: KB changed (hash mismatch) — rebuilding indexes")
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-
return False
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self.vectorstore = FAISS.load_local(
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str(faiss_dir), self._embeddings, allow_dangerous_deserialization=True
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)
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bm25_cache = json.loads(bm25_path.read_text(encoding="utf-8"))
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self.bm25_corpus = bm25_cache["corpus"]
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self.bm25_meta = bm25_cache["meta"]
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-
tokenized = [
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| 133 |
self.bm25 = BM25Okapi(tokenized)
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return True
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except Exception as exc:
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@@ -155,8 +177,8 @@ class RAGService:
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# Atomic write for state
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state_tmp = state_path.with_suffix(".tmp")
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-
state_tmp.write_text(
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| 159 |
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json.dumps({"kb_hash": self._kb_hash, "chunk_count": len(self.bm25_corpus)}),
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| 160 |
encoding="utf-8",
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)
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os.replace(state_tmp, state_path)
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@@ -174,18 +196,25 @@ class RAGService:
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| 174 |
text = fpath.read_text(encoding="utf-8").strip()
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if not text:
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continue
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| 177 |
-
source_url = ""
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| 178 |
-
title = fpath.stem.replace("_", " ").replace("-", " ")
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-
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| 180 |
line = line.strip()
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| 181 |
if line.startswith("SOURCE:"):
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| 182 |
source_url = line.replace("SOURCE:", "").strip()
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| 183 |
-
elif line.startswith("TITLE:"):
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title = line.replace("TITLE:", "").strip()
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| 185 |
for chunk in self._chunk_text(text):
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all_chunks.append(chunk)
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all_meta.append(
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{"source": source_url, "title": title, "filename": fpath.name
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)
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except Exception as exc:
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logger.warning("Failed to load %s: %s", fpath.name, exc)
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@@ -199,18 +228,17 @@ class RAGService:
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| 199 |
section = section.strip()
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if not section or len(section) < 30:
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| 201 |
continue
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| 202 |
-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
start += CHUNK_MAX_CHARS - CHUNK_OVERLAP_CHARS
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| 214 |
return chunks
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| 215 |
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| 216 |
async def hybrid_search(self, query: str, top_k: int = 5, alpha: float = 0.6) -> List[dict]:
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@@ -224,7 +252,7 @@ class RAGService:
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| 224 |
dense_results = await self.vectorstore.asimilarity_search_with_score(
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| 225 |
query, k=fetch_k
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| 226 |
)
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| 227 |
-
tokenized_query =
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| 228 |
bm25_scores = self.bm25.get_scores(tokenized_query)
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| 229 |
top_bm25_idx = np.argsort(bm25_scores)[::-1][:fetch_k].tolist()
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| 230 |
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@@ -240,17 +268,25 @@ class RAGService:
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| 240 |
rrf[idx] = rrf.get(idx, 0.0) + (1 - alpha) * (1.0 / (K + rank + 1))
|
| 241 |
|
| 242 |
sorted_idx = sorted(rrf, key=lambda i: rrf[i], reverse=True)[:top_k]
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| 243 |
-
results = []
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| 244 |
-
for
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| 245 |
-
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| 246 |
-
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| 247 |
-
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| 248 |
{
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| 249 |
"content": self.bm25_corpus[idx],
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| 250 |
"source": meta.get("source", ""),
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| 251 |
"title": meta.get("title", ""),
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| 252 |
"filename": meta.get("filename", ""),
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| 253 |
-
"score": round(rrf[idx], 6),
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| 254 |
}
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| 255 |
)
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| 256 |
return results
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| 11 |
via a dedicated audit() method to avoid disk reads on every /rag-status poll.
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| 12 |
5. _write / cache saves use os.replace for atomic writes.
|
| 13 |
"""
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| 14 |
+
import hashlib
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| 15 |
+
import hmac
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| 16 |
import json
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| 17 |
import logging
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| 18 |
import os
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| 26 |
from src.config import get_settings
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| 27 |
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| 28 |
logger = logging.getLogger(__name__)
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| 29 |
+
CHUNK_WORDS = 260
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| 30 |
+
CHUNK_OVERLAP_WORDS = 40
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| 31 |
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TOKEN_RE = re.compile(r"[a-z0-9][a-z0-9_-]{1,}")
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| 32 |
+
STOP_WORDS = {"about", "and", "are", "can", "for", "from", "how", "library", "please", "that", "the", "this", "what", "when", "where", "which", "with", "you"}
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| 33 |
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| 34 |
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| 35 |
class RAGService:
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| 62 |
digest.update(str(stat.st_size).encode("utf-8"))
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| 63 |
return digest.hexdigest()
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| 64 |
|
| 65 |
+
def _cache_paths(self) -> tuple[Path, Path, Path]:
|
| 66 |
cache_dir = self._cache_dir()
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| 67 |
+
return cache_dir / "faiss_index", cache_dir / "bm25_cache.json", cache_dir / "kb_state.json"
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| 68 |
+
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| 69 |
+
def _cache_signature(self, faiss_dir: Path, bm25_path: Path) -> str:
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| 70 |
+
key = get_settings().origin_token.encode("utf-8")
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| 71 |
+
if not key:
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| 72 |
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return ""
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| 73 |
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digest = hmac.new(key, digestmod=hashlib.sha256)
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| 74 |
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for path in sorted([bm25_path, *faiss_dir.glob("*")]):
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| 75 |
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if path.is_file():
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| 76 |
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digest.update(path.name.encode("utf-8"))
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| 77 |
+
digest.update(path.read_bytes())
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| 78 |
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return digest.hexdigest()
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| 79 |
+
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| 80 |
+
@staticmethod
|
| 81 |
+
def _tokens(value: str) -> List[str]:
|
| 82 |
+
return TOKEN_RE.findall((value or "").lower())
|
| 83 |
|
| 84 |
def _build_reverse_index(self) -> None:
|
| 85 |
"""Build O(1) content -> index lookup. Call after any corpus change."""
|
|
|
|
| 121 |
)
|
| 122 |
self.bm25_corpus = chunks
|
| 123 |
self.bm25_meta = metadatas
|
| 124 |
+
tokenized = [self._tokens(c) for c in chunks]
|
| 125 |
self.bm25 = BM25Okapi(tokenized)
|
| 126 |
self._build_reverse_index()
|
| 127 |
self._save_cached_indexes()
|
|
|
|
| 138 |
return False
|
| 139 |
try:
|
| 140 |
state = json.loads(state_path.read_text(encoding="utf-8"))
|
| 141 |
+
if state.get("kb_hash") != self._kb_hash:
|
| 142 |
logger.info("RAGService: KB changed (hash mismatch) — rebuilding indexes")
|
| 143 |
+
return False
|
| 144 |
+
expected = self._cache_signature(faiss_dir, bm25_path)
|
| 145 |
+
if not expected or not hmac.compare_digest(str(state.get("signature", "")), expected):
|
| 146 |
+
logger.warning("RAGService: unsigned or modified cache ignored")
|
| 147 |
+
return False
|
| 148 |
self.vectorstore = FAISS.load_local(
|
| 149 |
str(faiss_dir), self._embeddings, allow_dangerous_deserialization=True
|
| 150 |
)
|
| 151 |
bm25_cache = json.loads(bm25_path.read_text(encoding="utf-8"))
|
| 152 |
self.bm25_corpus = bm25_cache["corpus"]
|
| 153 |
self.bm25_meta = bm25_cache["meta"]
|
| 154 |
+
tokenized = [self._tokens(c) for c in self.bm25_corpus]
|
| 155 |
self.bm25 = BM25Okapi(tokenized)
|
| 156 |
return True
|
| 157 |
except Exception as exc:
|
|
|
|
| 177 |
|
| 178 |
# Atomic write for state
|
| 179 |
state_tmp = state_path.with_suffix(".tmp")
|
| 180 |
+
state_tmp.write_text(
|
| 181 |
+
json.dumps({"kb_hash": self._kb_hash, "chunk_count": len(self.bm25_corpus), "signature": self._cache_signature(faiss_dir, bm25_path)}),
|
| 182 |
encoding="utf-8",
|
| 183 |
)
|
| 184 |
os.replace(state_tmp, state_path)
|
|
|
|
| 196 |
text = fpath.read_text(encoding="utf-8").strip()
|
| 197 |
if not text:
|
| 198 |
continue
|
| 199 |
+
source_url = ""
|
| 200 |
+
title = fpath.stem.replace("_", " ").replace("-", " ")
|
| 201 |
+
authority = "official"
|
| 202 |
+
reviewed = ""
|
| 203 |
+
for line in text.splitlines()[:8]:
|
| 204 |
line = line.strip()
|
| 205 |
if line.startswith("SOURCE:"):
|
| 206 |
source_url = line.replace("SOURCE:", "").strip()
|
| 207 |
+
elif line.startswith("TITLE:"):
|
| 208 |
+
title = line.replace("TITLE:", "").strip()
|
| 209 |
+
elif line.startswith("AUTHORITY:"):
|
| 210 |
+
authority = line.replace("AUTHORITY:", "").strip()[:40]
|
| 211 |
+
elif line.startswith("LAST_REVIEWED:"):
|
| 212 |
+
reviewed = line.replace("LAST_REVIEWED:", "").strip()[:20]
|
| 213 |
for chunk in self._chunk_text(text):
|
| 214 |
all_chunks.append(chunk)
|
| 215 |
all_meta.append(
|
| 216 |
+
{"source": source_url, "title": title, "filename": fpath.name,
|
| 217 |
+
"authority": authority, "last_reviewed": reviewed}
|
| 218 |
)
|
| 219 |
except Exception as exc:
|
| 220 |
logger.warning("Failed to load %s: %s", fpath.name, exc)
|
|
|
|
| 228 |
section = section.strip()
|
| 229 |
if not section or len(section) < 30:
|
| 230 |
continue
|
| 231 |
+
words = section.split()
|
| 232 |
+
if len(words) <= CHUNK_WORDS:
|
| 233 |
+
chunks.append(section)
|
| 234 |
+
continue
|
| 235 |
+
step = CHUNK_WORDS - CHUNK_OVERLAP_WORDS
|
| 236 |
+
for start in range(0, len(words), step):
|
| 237 |
+
chunk = " ".join(words[start:start + CHUNK_WORDS]).strip()
|
| 238 |
+
if chunk:
|
| 239 |
+
chunks.append(chunk)
|
| 240 |
+
if start + CHUNK_WORDS >= len(words):
|
| 241 |
+
break
|
|
|
|
| 242 |
return chunks
|
| 243 |
|
| 244 |
async def hybrid_search(self, query: str, top_k: int = 5, alpha: float = 0.6) -> List[dict]:
|
|
|
|
| 252 |
dense_results = await self.vectorstore.asimilarity_search_with_score(
|
| 253 |
query, k=fetch_k
|
| 254 |
)
|
| 255 |
+
tokenized_query = self._tokens(query)
|
| 256 |
bm25_scores = self.bm25.get_scores(tokenized_query)
|
| 257 |
top_bm25_idx = np.argsort(bm25_scores)[::-1][:fetch_k].tolist()
|
| 258 |
|
|
|
|
| 268 |
rrf[idx] = rrf.get(idx, 0.0) + (1 - alpha) * (1.0 / (K + rank + 1))
|
| 269 |
|
| 270 |
sorted_idx = sorted(rrf, key=lambda i: rrf[i], reverse=True)[:top_k]
|
| 271 |
+
results = []
|
| 272 |
+
meaningful_query = {token for token in tokenized_query if token not in STOP_WORDS and len(token) > 2}
|
| 273 |
+
for idx in sorted_idx:
|
| 274 |
+
if idx < len(self.bm25_corpus):
|
| 275 |
+
meta = self.bm25_meta[idx]
|
| 276 |
+
chunk_tokens = set(self._tokens(self.bm25_corpus[idx]))
|
| 277 |
+
lexical_overlap = len(meaningful_query & chunk_tokens)
|
| 278 |
+
if meaningful_query and lexical_overlap == 0:
|
| 279 |
+
continue
|
| 280 |
+
results.append(
|
| 281 |
{
|
| 282 |
"content": self.bm25_corpus[idx],
|
| 283 |
"source": meta.get("source", ""),
|
| 284 |
"title": meta.get("title", ""),
|
| 285 |
"filename": meta.get("filename", ""),
|
| 286 |
+
"score": round(rrf[idx], 6),
|
| 287 |
+
"lexical_overlap": lexical_overlap,
|
| 288 |
+
"authority": meta.get("authority", "official"),
|
| 289 |
+
"last_reviewed": meta.get("last_reviewed", ""),
|
| 290 |
}
|
| 291 |
)
|
| 292 |
return results
|