Squash Odysseus development history

This commit is contained in:
pewdiepie-archdaemon
2026-09-11 06:04:19 +00:00
parent e5c99a5eee
commit 6ee6502010
2050 changed files with 538359 additions and 57745 deletions
+222 -83
View File
@@ -1,19 +1,20 @@
"""Webpage content fetching with caching, PDF extraction, and summarization helpers."""
import copy
import io
import ipaddress
import json
import os
import re
import logging
import socket
from datetime import datetime, timedelta
from typing import List
from urllib.parse import urljoin, urlparse
import httpx
from bs4 import BeautifulSoup
from src.constants import WEB_FETCH_SOFT_MAX_BYTES, WEB_FETCH_HARD_MAX_BYTES, WEB_FETCH_USER_AGENT
from src import outbound_fetch as _outbound_fetch
from .analytics import RateLimitError, error_logger
from .cache import (
CONTENT_CACHE_DIR,
@@ -24,73 +25,39 @@ from .cache import (
logger = logging.getLogger(__name__)
_PRIVATE_NETWORKS = (
ipaddress.ip_network("0.0.0.0/8"),
ipaddress.ip_network("10.0.0.0/8"),
ipaddress.ip_network("127.0.0.0/8"),
ipaddress.ip_network("169.254.0.0/16"),
ipaddress.ip_network("172.16.0.0/12"),
ipaddress.ip_network("192.168.0.0/16"),
ipaddress.ip_network("::1/128"),
ipaddress.ip_network("fc00::/7"),
ipaddress.ip_network("fe80::/10"),
)
def _is_private_address(addr):
return _outbound_fetch._is_private_address(addr)
def _is_private_address(addr: ipaddress._BaseAddress) -> bool:
return addr.is_private or addr.is_loopback or addr.is_link_local or any(addr in net for net in _PRIVATE_NETWORKS)
def _resolve_hostname_ips(hostname):
return _outbound_fetch._resolve_hostname_ips(hostname)
def _resolve_hostname_ips(hostname: str) -> list[ipaddress._BaseAddress]:
try:
infos = socket.getaddrinfo(hostname, None)
except Exception:
return []
out = []
for info in infos:
try:
out.append(ipaddress.ip_address(info[4][0]))
except Exception:
continue
return out
def _public_http_url(url):
return _outbound_fetch._public_http_url(url, resolver=_resolve_hostname_ips)
def _public_http_url(url: str) -> bool:
try:
parsed = urlparse(url)
if parsed.scheme not in ("http", "https"):
return False
host = (parsed.hostname or "").strip()
if not host:
return False
lower = host.lower()
if lower in ("localhost", "metadata", "metadata.google.internal"):
return False
if lower.endswith((".local", ".localhost", ".internal", ".lan", ".intranet")):
return False
try:
return not _is_private_address(ipaddress.ip_address(host))
except ValueError:
pass
addrs = _resolve_hostname_ips(host)
return bool(addrs) and not any(_is_private_address(a) for a in addrs)
except Exception:
return False
def _resolve_public_ips(url):
return _outbound_fetch._resolve_public_ips(url, resolver=_resolve_hostname_ips)
def _get_public_url(url: str, headers: dict, timeout: int, max_redirects: int = 5) -> httpx.Response:
current = url
for _ in range(max_redirects + 1):
if not _public_http_url(current):
raise httpx.RequestError("Blocked private/internal URL", request=httpx.Request("GET", current))
response = httpx.get(current, headers=headers, timeout=timeout, follow_redirects=False)
if response.status_code not in (301, 302, 303, 307, 308):
return response
location = response.headers.get("location")
if not location:
return response
current = urljoin(str(response.url), location)
raise httpx.RequestError("Too many redirects", request=httpx.Request("GET", current))
_PinnedBackend = _outbound_fetch._PinnedBackend
_PinnedTransport = _outbound_fetch._PinnedTransport
BodyTooLargeError = _outbound_fetch.BodyTooLargeError
_CappedFetch = _outbound_fetch._CappedFetch
def _get_public_url(url, headers, timeout, max_redirects=5, max_bytes=None):
return _outbound_fetch._get_public_url(
url,
headers=headers,
timeout=timeout,
max_redirects=max_redirects,
max_bytes=max_bytes,
resolve_public_ips=_resolve_public_ips,
transport_factory=_PinnedTransport,
)
# PDF extraction (optional dependency)
try:
@@ -98,6 +65,49 @@ try:
except ImportError:
pdf_extract_text = None # type: ignore
try:
from pypdf import PdfReader
except ImportError:
PdfReader = None # type: ignore
def _extract_pdf_text(pdf_bytes: bytes, url: str = "") -> str:
"""Extract PDF text with available permissive dependencies."""
# Prefer pypdf's layout mode. Plain text extraction and pdfminer often
# collapse table columns into an ambiguous number stream, which makes a
# correct source passage easy for the model to misread.
if PdfReader is not None:
try:
reader = PdfReader(io.BytesIO(pdf_bytes))
pages: List[str] = []
for idx, page in enumerate(reader.pages):
try:
try:
page_text = page.extract_text(extraction_mode="layout") or ""
except TypeError:
page_text = page.extract_text() or ""
except Exception as e:
logger.warning(f"pypdf extraction failed for {url} page {idx + 1}: {e}")
page_text = ""
if page_text.strip():
pages.append(f"[Page {idx + 1}]\n{page_text.strip()}")
if pages:
return "\n\n".join(pages)
except Exception as e:
logger.warning(f"pypdf extraction failed for {url}: {e}")
if pdf_extract_text is not None:
try:
text = pdf_extract_text(io.BytesIO(pdf_bytes)) or ""
if text.strip():
return text
except Exception as e:
logger.warning(f"pdfminer extraction failed for {url}: {e}")
if PdfReader is None and pdf_extract_text is None:
logger.error("No PDF text extractor installed; install pdfminer.six or pypdf.")
return ""
# ----------------------------------------------------------------------
# HTML extraction helpers
@@ -115,6 +125,28 @@ def _extract_meta(soup: BeautifulSoup) -> dict:
return {"description": description, "keywords": keywords}
def _extract_og_image(soup: BeautifulSoup) -> str:
"""Extract the best representative image URL from meta tags.
Only returns absolute http(s) URLs -- skips relative paths and data URIs.
"""
candidates = []
for prop in ("og:image", "og:image:url", "og:image:secure_url"):
tag = soup.find("meta", attrs={"property": prop})
if tag and tag.get("content", "").strip():
candidates.append(tag["content"].strip())
tag = soup.find("meta", attrs={"name": "twitter:image"})
if tag and tag.get("content", "").strip():
candidates.append(tag["content"].strip())
tag = soup.find("meta", attrs={"name": "thumbnail"})
if tag and tag.get("content", "").strip():
candidates.append(tag["content"].strip())
for url in candidates:
if url.startswith(("https://", "http://")) and not url.endswith((".svg", ".ico")):
return url
return ""
def _extract_lists(soup: BeautifulSoup) -> List[List[str]]:
"""Return a list of lists, each inner list representing a <ul>/<ol>."""
all_lists = []
@@ -189,9 +221,19 @@ def _empty_result(url: str, error: str = "") -> dict:
# ----------------------------------------------------------------------
# Main content fetcher
# ----------------------------------------------------------------------
def fetch_webpage_content(url: str, timeout: int = 5, retry_attempt: int = 0) -> dict:
"""Fetch and extract meaningful content from a webpage with caching."""
cache_key = generate_cache_key(url)
def fetch_webpage_content(url: str, timeout: int = 5, retry_attempt: int = 0,
max_bytes: int = None) -> dict:
"""Fetch and extract meaningful content from a webpage with caching.
``max_bytes`` raises the download budget per call (clamped to the hard
cap); the default is the soft cap. When the body is cut short the result
carries ``truncated``/``fetched_bytes``/``total_bytes`` so callers can
tell the model the content is partial (#3812).
"""
effective_cap = min(max_bytes or WEB_FETCH_SOFT_MAX_BYTES, WEB_FETCH_HARD_MAX_BYTES)
# The cap is part of the cache identity: a truncated soft-cap fetch must
# not be served to a later full-budget request for the same URL.
cache_key = generate_cache_key(f"{url}#cap={effective_cap}")
cache_file = CONTENT_CACHE_DIR / f"{cache_key}.cache"
# Check cache
@@ -214,18 +256,24 @@ def fetch_webpage_content(url: str, timeout: int = 5, retry_attempt: int = 0) ->
# Fetch
try:
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36",
"User-Agent": WEB_FETCH_USER_AGENT,
"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8",
"Accept-Language": "en-US,en;q=0.5",
"Accept-Encoding": "gzip, deflate",
"Connection": "keep-alive",
}
response = _get_public_url(url, headers=headers, timeout=timeout)
response = _get_public_url(url, headers=headers, timeout=timeout,
max_bytes=effective_cap)
if response.status_code == 429:
raise RateLimitError(f"Rate limit hit for {url} (attempt {retry_attempt})")
response.raise_for_status()
except BodyTooLargeError as e:
error_logger.warning(f"Refused oversized body for {url}: {e}")
return _empty_result(url, f"TooLarge: {e}")
except httpx.HTTPStatusError as e:
error_logger.warning(f"HTTP {e.response.status_code} fetching {url}: {e}")
return _empty_result(url, f"HTTP {e.response.status_code}: {e}")
except httpx.RequestError as e:
error_logger.error(f"NetworkError fetching {url} (attempt {retry_attempt}): {e}")
return _empty_result(url, f"NetworkError: {e}")
@@ -233,19 +281,54 @@ def fetch_webpage_content(url: str, timeout: int = 5, retry_attempt: int = 0) ->
error_logger.error(str(e))
return _empty_result(url, str(e))
# Size bookkeeping shared by every content branch below. getattr keeps
# plain httpx.Response stand-ins (tests) working without the cap fields.
_size_fields = {
"truncated": getattr(response, "truncated", False),
"fetched_bytes": len(response.content),
"total_bytes": getattr(response, "declared_bytes", None),
}
# PDF handling
content_type = response.headers.get("Content-Type", "").lower()
if "application/pdf" in content_type or url.lower().endswith(".pdf"):
if pdf_extract_text is None:
logger.error("pdfminer.six is not installed; cannot extract PDF text.")
pdf_text = ""
else:
if (
_size_fields["truncated"]
and effective_cap < WEB_FETCH_HARD_MAX_BYTES
and (
_size_fields["total_bytes"] is None
or _size_fields["total_bytes"] <= WEB_FETCH_HARD_MAX_BYTES
)
):
try:
pdf_bytes = io.BytesIO(response.content)
pdf_text = pdf_extract_text(pdf_bytes)
response = _get_public_url(
url,
headers=headers,
timeout=timeout,
max_bytes=WEB_FETCH_HARD_MAX_BYTES,
)
_size_fields = {
"truncated": getattr(response, "truncated", False),
"fetched_bytes": len(response.content),
"total_bytes": getattr(response, "declared_bytes", None),
}
effective_cap = WEB_FETCH_HARD_MAX_BYTES
except BodyTooLargeError as e:
error_logger.warning(f"Refused oversized PDF body for {url}: {e}")
return _empty_result(url, f"TooLarge: {e}")
except Exception as e:
logger.warning(f"PDF extraction failed for {url}: {e}")
pdf_text = ""
logger.warning(f"Full-budget PDF retry failed for {url}: {e}")
if _size_fields["truncated"]:
# A PDF cut mid-stream is not parseable; unlike text there is no
# useful partial result, so report the budget problem instead.
_declared = _size_fields["total_bytes"]
error = (
f"TooLarge: PDF decoded body exceeded the {effective_cap:,}-byte fetch budget"
+ (f" (declared compressed size {_declared:,} bytes)" if _declared else "")
+ "; retry with a larger budget if it fits under the hard cap"
)
return {**_empty_result(url, error), **_size_fields}
pdf_text = _extract_pdf_text(response.content, url)
result = {
"url": url,
"title": os.path.basename(url),
@@ -259,6 +342,42 @@ def fetch_webpage_content(url: str, timeout: int = 5, retry_attempt: int = 0) ->
"js_message": "",
"success": bool(pdf_text),
"error": "" if pdf_text else "Failed to extract PDF text",
**_size_fields,
}
_cache_result(cache_file, cache_key, result, url)
return result
# Plain-text / Markdown / JSON handling. Sources like
# raw.githubusercontent.com serve Markdown as `text/plain`, JSON APIs and
# raw config files serve `application/json`, and a lot of code and tool
# docs live in `.md` / `.txt`. These have no HTML structure, so the HTML
# branch below would extract nothing and report "no readable text content".
# Return the body verbatim instead. The `is_html` guard keeps real HTML
# (including `application/xhtml+xml`) on the parsing path; the `json` check
# covers `application/json` and `+json` suffixes; the URL-suffix fallback
# catches servers that mislabel text files as `application/octet-stream`.
is_html = "html" in content_type
is_json = "json" in content_type
url_path = url.lower().split("?", 1)[0].split("#", 1)[0]
looks_like_text_file = url_path.endswith(
(".md", ".markdown", ".txt", ".text", ".json", ".jsonl")
)
if not is_html and (content_type.startswith("text/") or is_json or looks_like_text_file):
text_body = (response.text or "").strip()
result = {
"url": url,
"title": os.path.basename(url_path) or url,
"content": text_body,
"lists": [],
"tables": [],
"code_blocks": [],
"meta_description": "",
"meta_keywords": "",
"js_rendered": False,
"js_message": "",
"success": bool(text_body),
"error": "" if text_body else "Empty response body",
**_size_fields,
}
_cache_result(cache_file, cache_key, result, url)
return result
@@ -275,10 +394,12 @@ def fetch_webpage_content(url: str, timeout: int = 5, retry_attempt: int = 0) ->
title_tag = soup.find("title")
title_text = title_tag.get_text(strip=True) if title_tag else ""
meta_info = _extract_meta(soup)
og_image = _extract_og_image(soup)
js_rendered = _detect_js_frameworks(soup)
js_message = "Page appears to be rendered by a JavaScript framework; content may be incomplete." if js_rendered else ""
# Main textual content (heuristic)
# Main textual content (heuristic): prefer semantic / "content"-classed
# containers to skip nav/footer/boilerplate; tuned for article pages.
main_content = ""
content_areas = soup.find_all(
["main", "article", "section", "div"],
@@ -287,12 +408,23 @@ def fetch_webpage_content(url: str, timeout: int = 5, retry_attempt: int = 0) ->
if content_areas:
for area in content_areas[:3]:
main_content += area.get_text(separator=" ", strip=True) + " "
if not main_content:
main_content = re.sub(r"\s+", " ", main_content).strip()
# If the heuristic finds only a tiny wrapper, fall back to body text with
# obvious boilerplate stripped so UI/deep-research search results do not
# look empty for app/landing pages.
THIN_CONTENT_CHARS = 600
if len(main_content) < THIN_CONTENT_CHARS:
body = soup.find("body")
if body:
main_content = body.get_text(separator=" ", strip=True)
main_content = re.sub(r"\s+", " ", main_content).strip()[:8000]
body_copy = copy.copy(body)
for noise in body_copy.find_all(
["script", "style", "noscript", "template", "nav", "header", "footer", "aside"]
):
noise.extract()
body_text = re.sub(r"\s+", " ", body_copy.get_text(separator=" ", strip=True)).strip()
if len(body_text) > len(main_content):
main_content = body_text
result = {
"url": url,
@@ -303,10 +435,12 @@ def fetch_webpage_content(url: str, timeout: int = 5, retry_attempt: int = 0) ->
"code_blocks": _extract_code_blocks(soup),
"meta_description": meta_info.get("description", ""),
"meta_keywords": meta_info.get("keywords", ""),
"og_image": og_image,
"js_rendered": js_rendered,
"js_message": js_message,
"success": True,
"error": "",
**_size_fields,
}
_cache_result(cache_file, cache_key, result, url)
return result
@@ -348,13 +482,18 @@ def get_tldr(text: str, max_sentences: int = 3) -> str:
def extract_quotes(text: str) -> List[str]:
"""Return quoted excerpts that are at least 15 characters long."""
return [m.group(1).strip() for m in re.finditer(r'["\']([^"\']{15,}?)["\']', text)]
# Backreference the opening quote so the closing quote must match it —
# otherwise `"text'` (open double, close single) is treated as a quote.
return [m.group(2).strip() for m in re.finditer(r'(["\'])([^"\']{15,}?)\1', text)]
def extract_statistics(text: str) -> List[str]:
"""Find numbers, percentages, dates and simple measurements."""
# Match a comma-grouped number (1,000,000) OR a plain digit run (50000) —
# the old `\d{1,3}(?:,\d{3})*` matched only the first 3 digits of a
# comma-less number, and the trailing `\b` dropped a closing `%`.
pattern = re.compile(
r"\b\d{1,3}(?:,\d{3})*(?:\.\d+)?\s*(%|percent|‰|per cent|[a-zA-Z]+)?\b",
r"\b(?:\d{1,3}(?:,\d{3})+|\d+)(?:\.\d+)?\s*(%|percent|‰|per cent|[a-zA-Z]+)?",
re.IGNORECASE,
)
return [m.group(0).strip() for m in pattern.finditer(text)]