diff --git a/docs/design/web/landscape.md b/docs/design/web/landscape.md new file mode 100644 index 00000000..b8545464 --- /dev/null +++ b/docs/design/web/landscape.md @@ -0,0 +1,336 @@ +# Reading the web in 2026 — landscape + +Survey behind `plan.md`, done 2026-09-15. Everything here was checked +against a primary source: a repo's actual LICENSE file, a published +benchmark, a container manifest, or a running instance. Where a claim +comes from a vendor's own marketing it is labelled as such. + +## What actually constrains us + +In priority order. The first one is the one that kills otherwise-good +options, and it is not the one most write-ups optimise for. + +1. **Resident memory.** A family Mac Mini is already running Immich, + Paperless, Postgres, Synapse and a local model. A fetcher that holds + a browser resident is competing with photo thumbnailing and OCR for + RAM, and losing that fight is visible to the family as everything + getting slow. +2. **Apple Silicon, but arm64 is a preference, not a wall.** This + survey was carried out treating `linux/arm64` as mandatory and x86 as + disqualifying. That was too strict: everything here runs in a + container, and Docker runs `linux/amd64` images on this hardware. + Emulation costs latency, so measure it rather than assume it. The + cost lands hardest exactly where it hurts most, on a browser (our + SeleniumBase measurement of 40s *was* the emulation), and barely at + all on a fast CPU-bound library that only ships x86 wheels. + **Anything rejected below purely for lacking arm64 wheels deserves + re-judging on measured latency.** `rs-trafilatura` was the obvious + candidate and has been re-judged; see its row. The answer was still + no, because arm64 was only one of three objections and the weakest. +3. **Nothing hosted.** No reader APIs, no scraper SaaS, no "free tier + after you sign in with GitHub". +4. **Licence compatible with AGPLv3, distributed freely.** Non-commercial + riders and BSL are disqualifying. +5. **A local ~30B model.** Anything assuming frontier-model tool-calling + reliability has to be flagged as such. + +**Image size is not a constraint.** A larger image for a genuinely +better fetcher is fine, and the right answer for anything heavy is to +make it an opt-in stacklet so a family that never needs it never pulls +it. This corrects the original plan, which carried a 250 MB image budget +as if it were load-bearing. It never was. + +**Caveat on the memory numbers below: they are thin.** The survey +measured image sizes carefully and memory barely at all, because that is +what the ecosystem publishes. Treat every RAM figure here as indicative +and measure before committing. That measurement is the real Phase 4 +gate. + +## Stealth fetching + +The tier 3 decision. We already measured Scrapling `StealthyFetcher` at +3.4s to 19.8s on macOS arm64, and it won our own spike. + +| Project | What it is | arm64 | Licence | Latest | Verdict | +|---|---|---|---|---|---| +| **Scrapling** | Parser + 3 fetchers, Turnstile solver built in | wheels + CI + multi-arch image | BSD-3-Clause | v0.4.15, 2026-08-23 | **adopt** | +| **patchright** | Playwright fork patching CDP leaks | aarch64 + macOS arm64 | Apache-2.0 | v1.62.3, 2026-08-17 | **adopt** (transitive) | +| **curl_cffi** | TLS/JA3 impersonating HTTP client | aarch64, musl, macOS arm64 | MIT | v0.16.3, 2026-09-02 | **adopt** | +| Camoufox | Firefox fork, C++-level fingerprint patching | `lin.arm64` yes | MPL-2.0 | v152.0.4-beta.30, 2026-09-01 | **reject**, see below | +| SeleniumBase UC | UC mode wants real Chrome | needs x86 emulation | MIT | v4.54.6, 2026-09-15 | **reject** (we measured 40s) | +| nodriver | Direct CDP, no Playwright layer | - | AGPL-3.0 | no releases, last commit 2026-05-13 | watch | +| zendriver | Maintained nodriver fork | claims Docker | AGPL-3.0 | v0.16.0, 2026-08-16 | watch | +| primp | Rust impersonating client | aarch64 + macOS arm64 | MIT | v2.0.1, 2026-09-12 | watch | +| FlareSolverr | Proxy that solves Cloudflare | - | MIT | v3.5.2, 2026-09-12 | watch (alive again) | +| DrissionPage | CDP automation | - | **non-commercial** | - | **reject** | +| rebrowser-patches | Playwright leak patches | - | **no licence file** | last push 2025-05-09 | **reject** | +| undetected-chromedriver | The original | - | GPL-3.0 | last push 2025-07-05 | **reject** (dead) | + +**Scrapling dropped Camoufox entirely at v0.3.13.** `StealthyFetcher` +is now patchright over Playwright Chromium with a built-in Turnstile +solver (`__CF_MAX_SOLVE_ATTEMPTS__ = 3`). The maintainer's stated +reasons were speed, memory and image size. So the plan's original +"consider Camoufox directly if the image is too big" is doubly wrong: it +is no longer the fallback, and image size was never the reason to reach +for it. Camoufox also wants `headless="virtual"` (Xvfb) on Linux, which +adds a process and more RAM, and it went dark for roughly ten months +(2025-03 to 2026-01) before recovering. + +Two ceilings worth writing into the Phase 4 gate rather than +discovering in it: + +- **`real_chrome` is unavailable in an arm64 image.** Patchright's own + guidance is to run real Chrome via `channel="chrome"`; Chrome for + Testing publishes no `linux-arm64`, so Playwright falls back to a + Chromium `headless_shell`. An `amd64` image under emulation *could* + run real Chrome, so this is a cost rather than an impossibility — but + it is the worst possible place to spend that cost, since a browser is + the one workload where emulation was measured at 40s. Treat the + weaker Chromium configuration as the working assumption, and if tier 3 + ever proves insufficient, measure the emulated-Chrome path before + concluding it is closed. +- **Every public stealth benchmark runs headed, on macOS, from a + residential IP.** We ship headless in a container. Our own numbers are + worth more than all of them, and the Phase 4 gate should assert + headless specifically. + +**Scrapling's bus factor is 1** (1,544 commits to the next +contributor's 15). Camoufox already demonstrated that failure mode. +Keeping tier 3 behind the injected `Transport` seam is what makes this +survivable: if Scrapling goes quiet for a quarter, reimplementing the +solve loop over patchright is roughly a hundred lines, not a rewrite. + +**Memory, such as we know it.** Lightpanda reports 123 MB peak across +100 pages against Chrome's ~2 GB. Firecrawl's shipped compose sets +`mem_limit: 4G` on its Playwright worker, which is the clearest +published signal of what a real browser costs at rest. `headless_shell` +is lighter than full Chromium. None of this is a substitute for +measuring our own container. + +## Browser agents + +All rejected, for different reasons, and the capability bar is the +reason to be relaxed about it. + +| Project | Stars | Licence | Latest | Verdict | +|---|---|---|---|---| +| browser-use | 114.7k | MIT | v0.13.10, 2026-09-04 | reject — steers to its own hosted model | +| Stagehand | 24.3k | MIT | 3.7.3, 2026-08-28 | reject — Browserbase-owned, TypeScript | +| Skyvern | 23.0k | AGPL-3.0 | v1.0.53, 2026-09-09 | reject — anti-bot held back for cloud | +| Notte | 2.0k | **SSPL** | v1.9.0, 2026-09-11 | **reject on licence** | +| LaVague | 6.4k | Apache-2.0 | last push 2025-01-21 | dead | +| Steel | 7.6k | Apache-2.0 | v0.5.4-beta, 2026-08-25 | watch — genuinely multi-arch | +| Playwright MCP | 37.1k | Apache-2.0 | v0.0.81, 2026-09-14 | watch — accessibility tree, no vision | +| Chrome DevTools MCP | 52.1k | Apache-2.0 | v1.9.0, 2026-09-08 | **reject on arm64** (Chrome only) | +| Puppeteer MCP | - | - | - | **archived** | +| Lightpanda | 35.4k | AGPL-3.0 | 0.4.1, 2026-09-15 | watch — tiny RAM, but we measured: no body | + +**The capability bar.** ClawBench (arXiv 2604.08523, 153 everyday tasks +across 144 live sites) records a best-ever score of **33.3%**, with the +same models scoring 65 to 75% on traditional web benchmarks. Princeton's +cost-instrumented HAL puts real-web multi-step success at 40 to 42%, at +hundreds of dollars per benchmark run. Steel's own leaderboard shows 97% +— using a custom judge, and their FAQ concedes scores are "not always" +independently verified. + +Take **40 to 70%** as the honest band and treat anything above 90% as +harness-and-judge dependent. This is the evidence behind `stack web ask` +being one search plus one model call: nobody has a reliable web agent, +least of all on a local model. + +**Local models are not the blocker people assume, if purpose-trained.** +Microsoft's Fara 1.5 (MIT, built on Qwen3.5) scores 72.3% on +Online-Mind2Web at 27B, beating OpenAI Operator's 58.3% and Gemini 2.5 +Computer Use's 57.3%, and runs in ~15 GB at INT4 with MLX conversions +already published for the 4B and 9B. But a *general-purpose* 30B MoE is +a different thing: Qwen3.6-35B-A3B publishes strong agentic scores and +**no** WebArena/WebVoyager/OSWorld numbers at all. The gpt-5 to +gpt-5-mini drop of 15.4 points on browser tasks is the cleanest measure +of how sharply this degrades with model class. If browser control ever +matters here, the answer is a purpose-trained model, not a bigger +general one. + +## Extraction + +**Nothing beats trafilatura inside our constraints.** Everything that +measurably wins is a 0.6B transformer needing 1.5 GB of weights, or +x86-only, or non-commercially licensed. + +trafilatura 2.2.0 (2026-07-31) is **Apache-2.0** — relicensed from +GPLv3+ in March 2024, which is worth knowing since older write-ups still +call it GPL. + +Read every benchmark here with suspicion: all four major ones are +published by someone shipping a competitor, and trafilatura scores 0.924 +on its own eval and 0.6402 on OpenDataLab's. Those are different +questions, not a contradiction. The useful finding across all of them is +that **every heuristic extractor collapses off news articles** — forum +and product pages sit at 0.41 to 0.81 for everyone. + +| Candidate | Licence | Verdict | +|---|---|---| +| **trafilatura** | Apache-2.0 | **stay** | +| magic-html | Apache-2.0 | watch — 0.05 MB, second on trafilatura's own bench, worth an A/B | +| resiliparse | Apache-2.0 | watch — ~10x faster, worse output | +| readability-lxml | Apache-2.0 | watch — cheap fallback when trafilatura returns nothing | +| MinerU-HTML / Dripper-0.6B | Apache-2.0 **incl. weights** | watch hard — see below | +| rs-trafilatura | MIT/Apache-2.0 | **reject**, re-judged 2026-09-16; see below | +| ReaderLM-v2 | **CC-BY-NC-4.0** | **reject on licence** | +| Crawl4AI | Apache-2.0 | reject — pulls both playwright and patchright | +| Firecrawl self-host | AGPL-3.0, verified clean | reject — six services, and self-host is explicitly crippled | +| markitdown | MIT | reject — no main-content extraction at all | +| goose3 / newspaper4k | Apache-2.0 / MIT | reject — dominated on quality and speed | +| boilerpy3 | ambiguous | reject — unmaintained since 2023 | + +**rs-trafilatura, re-judged after the arm64 constraint was relaxed.** +Still no. Only one of its three disqualifiers was about arm64, and it +was the weakest. Verified 2026-09-16: **v0.1.1 published 2026-03-24, +last push 2026-04-03**, five and a half months dormant, **24 commits +from a single contributor**, 57 stars, and PyPI still ships only +`manylinux_2_34_x86_64`. The benchmark it tops is written by its own +author, who also sells a commercial product built on it. + +The deeper reason is that it would optimise the part that already +works. Measured on our own URLs, trafilatura's output is byte-identical +to what we ship for wikipedia, docs and long-form blogs. The one real +extraction failure we found was a recipe whose quantities trafilatura +silently dropped ("g g Tomaten"), and JSON-LD fixed that; a better +heuristic extractor would not have. Everything else that fails is an +access problem, not an extraction problem. Its own claimed gains +concentrate in forum and product pages, where both libraries are +mediocre, and our biggest forum case is reddit, which we cannot fetch +as HTML at all and read through feeds instead. + +If extraction quality ever becomes a *measured* problem, start with +**magic-html**: Apache-2.0, 0.05 MB, pure Python over lxml so there is +no wheel question at all, second on trafilatura's own benchmark and +ahead of it on OpenDataLab's. That is a two-hour A/B. Revisit +rs-trafilatura if it gains a second contributor and aarch64 wheels. + +**MinerU-HTML** is the one that could displace trafilatura. It reframes +extraction as constrained sequence labeling, so a small model is +genuinely *sufficient* rather than merely cheap — no generative +hallucination. Apache-2.0 code and weights, which is rare. It is 1,503 +MB of safetensors with no MLX or GGUF port and the repo has been quiet +since 2026-03-27. Revisit if someone ships a 4-bit MLX conversion. + +**One concrete item outside this plan.** `html2text` — used by +`stack.email_message`, not by the web module — is our weakest +dependency: GPL-3.0-or-later (our only copyleft dep), last release +2025-04-15, and the worst F1 in every table. `html-to-markdown` replaces +it at MIT, **zero Python dependencies**, native arm64 wheels, ~7 MB, +released 2026-09-14. Note the org moved to `xberg-io/html-to-markdown`. + +## Search + +`searxng/searxng` remains the only practical answer. Nobody has solved +an independent index on a 16 GB box: Marginalia wants ~32 GB and +terabytes of crawl storage, Stract is archived, Whoogle is archived, and +YaCy returns results too slow and too strange for question answering. + +What matters is operational, and it is covered in +`stacklets/web/config/settings.yml` and the e2e lane. In short: Google +and Bing ship `disabled: true`, Startpage is captcha-walled, only two +engines actually answer, `search.formats` excludes JSON by default, +`number_of_results` lies, `site:` does not pass through, and tags move +several times a day. SearXNG migrated its network layer to `curl_cffi` +on 2026-09-04 for TLS impersonation, which is the biggest structural +anti-bot change of the year and is still unproven. + +Answer engines were all rejected as backends: **Perplexica renamed to +Vane** and has had no code commit since 2026-04-11 despite 37k stars, +with a 3.4 GB arm64 image. Morphic is alive but is a chat UI. Scira +mandates a hosted Exa key. Khoj's cloud was sunset and the repo went +quiet with it. Onyx is enterprise RAG at ten times the footprint. +**SurfSense is a licence trap**: Apache-2.0 except the directory +containing its SearXNG connector, which is BSL 1.1. + +Of the deep-research agents, `LearningCircuit/local-deep-research` is +the only genuinely local, genuinely alive one, and it is a +single-maintainer project with 682 open issues. `langchain-ai/open_deep_research` +was **archived 2026-08-21**. `HKUDS/Auto-Deep-Research` has no licence +file at all. Its rerank-before-the-model pattern is worth stealing +regardless of the repo's fate. + +## Standards + +**`llms.txt` is a dud. Stop tracking it.** Across 137,000 domains +surveyed, 97% of `llms.txt` files received zero requests in a month, +only 28% of domains publish one, and 77% of the bots that did fetch it +were not AI tools. No major provider reads it in production. + +**JSON-LD is the bet that is working.** Present on about 41% of mobile +pages, up from 34% in 2022, with 958 distinct schema.org types observed +in live markup. This is why tier 1 reads structured data +deterministically and never asks a model, and it is the single most +durable decision in the plan. + +**NLWeb** (sites answering natural-language queries over their own +schema.org data) is the one to watch, because it makes a JSON-LD reader +more valuable rather than obsolete. W3C Community Group since October +2025, spec not final. + +**WebMCP** is a Chrome origin trial (149 through 156) and is mid-API- +migration already. It is a browser-side JavaScript API, so it does +nothing for a server-side fetcher. Ignore for now. + +## The strategic risk + +**Cloudflare turned on default AI-crawler blocking on 2026-09-15**, for +all new customers and all existing free customers. The sanctioned +alternative is **Web Bot Auth**: Ed25519-signed HTTP message signatures, +a published JWKS, an application to Cloudflare, and compliance with +their signed-agent policy. Launch partners are OpenAI, Block, +Browserbase and Anchor Browser. Pay-per-crawl returns HTTP 402 with a +`crawler-price` header. + +A self-hosted family stack cannot realistically join that programme and +would not want to. So the web is bifurcating into "identify yourself +cryptographically and maybe pay" and "be indistinguishable from a +human browser", and famstack is structurally on the second path. That +validates the stealth tier and makes it a permanent maintenance +treadmill rather than a milestone. Budget for it breaking. + +This is also the strongest argument for the parts of the ladder that do +not fetch adversarially at all: structured data the site publishes on +purpose, and feeds it offers on purpose, are not subject to any of this. + +## Licence traps, in the PriceBuddy category + +Worth listing because an automated licence check catches none of them. + +- **Notte** — SSPL. GitHub reports `NOASSERTION`. +- **DrissionPage** — permits personal, learning and non-profit use only, + stated in Chinese. GitHub reports `NOASSERTION`. +- **rebrowser-patches** — no LICENSE file at all. +- **SurfSense** — Apache-2.0 except `app/proprietary/**`, which is BSL + 1.1, and which is exactly where its SearXNG connector lives. +- **ReaderLM-v2** — CC-BY-NC-4.0, commercial use needs a separate licence. +- **HKUDS/Auto-Deep-Research** — no licence, therefore not redistributable. + +## Frontier context, briefly + +Useful only as a capability reference. The category consolidated hard: +OpenAI's **Atlas** shipped 2025-10-21 and stopped working 2026-08-09, a +nine-month life; **Operator** was absorbed in 2025; Google's **Project +Mariner** was killed 2026-05-04; **Arc** is feature-dead under Atlassian. +What survived is agentic browsing as a feature inside an existing +surface — an extension or a sidebar — not a browser you install. + +On prompt injection the public consensus is that it is **mitigated, not +solved**. OpenAI wrote in December 2025 that it is "unlikely to ever be +fully 'solved'". Anthropic is the only vendor publishing before/after +numbers, and its trajectory is real (23.6% to 11.2% to ~1% to 0-0.3%), +though measured against its own attacker on its own environments. WASP +finds mainstream agents at 16% to 86% attack success. Cloud Security +Alliance reported indirect prompt injection as operational rather than +theoretical by April 2026, with Google seeing a 32% relative increase in +malicious injected content across crawled pages in three months. + +The one structural claim with support: systems that carry **provenance +metadata and constrain tool invocation by data origin** are defensible, +while systems treating all retrieved content as undifferentiated prompt +context are not. Every consumer agentic browser shipping today runs the +agent inside the user's authenticated session, which is the vulnerable +shape. Relevant to us mainly as a reason `stack web ask` keeps page +content out of the agent's context entirely. diff --git a/docs/design/web/plan.md b/docs/design/web/plan.md index 79c2a96e..8d1416c0 100644 --- a/docs/design/web/plan.md +++ b/docs/design/web/plan.md @@ -24,8 +24,28 @@ Two user-visible outcomes: say so plainly rather than claiming anonymity. - **The cheap path stays cheap.** A recipe or an article must not pay browser cost. Tier escalation is driven by failure, never by default. -- **Host-native where possible.** `stack web fetch` works with nothing running, - same contract as `stack memory topic`. +- **Hostile bytes are processed in a container, never on the host.** Every + page we read is attacker-controlled input going into an HTML or XML parser, + and lately into a browser. On the host a parser bug runs as the person who + owns the machine: their SSH keys, the family vault, the Docker socket. In a + container it runs against a filesystem we chose. + + The host runs exactly one thing, and it is not this: the Apple-Silicon + inference that cannot be containerised without losing Metal (the model + endpoint, whisper). Everything else gets a container, because that is what + containers are for. + + This replaces an earlier "host-native where possible" invariant, which + wanted `stack web fetch` to work with nothing running. That convenience is + not worth running an HTML parser over hostile input as the host user, and + it was arguing from the wrong premise anyway — see below. +- **Being in a container means we are not limited to macOS arm64.** The + original plan treated "no Linux arm64 Google Chrome exists" as a hard stop. + It is not: Docker runs `linux/amd64` images here. Emulation costs latency + (the measured SeleniumBase path was 40s, and that cost *was* the emulation), + so it is a poor trade for a browser — but it is a fine one for a fast + CPU-bound library that only ships x86 wheels. Judge each candidate on + measured latency, not on whether an arm64 wheel exists. - **The gate is mandatory.** No extractor output reaches the vault without passing a quality check. This is the fix for the class of bug that started this work. @@ -168,8 +188,10 @@ The tempting version is a `web` stacklet that owns all web operations including link fetching. Rejected, but the opposite extreme is rejected too. **Scrapling must not go into `bot-runner`.** It pulls Playwright, Patchright and -a Chromium build, roughly 250 MB. Putting it there taxes every bot image (docs, -mail, memory) with a browser that most of them never invoke. +a Chromium build. Putting it there taxes every bot image (docs, mail, memory) +with a browser that most of them never invoke — not for the disk, which is +cheap, but because a browser in the archivist's image is a browser competing +for RAM with photo thumbnailing and OCR on a machine that has none spare. **Tiers 0 to 2 must not go into a container.** JSON-LD parsing, trafilatura and the gate are pure Python over bytes. Making them a network hop would break @@ -182,7 +204,7 @@ So the split is by weight, not by topic: |---|---|---| | canonicalize, JSON-LD, HTTP, trafilatura, gate | `lib/stack/web/` | pure Python, shared by CLI and bots, no new deps | | search | `web` stacklet, searxng service | genuinely a service | -| stealth fetch | `web` stacklet, fetch service | isolates the 250 MB browser payload | +| stealth fetch | `web` stacklet, fetch service | isolates the browser, so its memory is opt-in | The stacklet is what *stops* this being heavy. It makes the browser opt-in by construction: a family that never pastes a shop link never downloads Chromium. @@ -238,7 +260,7 @@ leaves no cron entry. **Harness improvement.** A `stacktests` lane that asserts the JSON API is enabled, since `formats` defaulting back to `[html]` is a silent failure mode. -### Phase 3 — `stack web ask` (about half a day) +### Phase 3 — `stack web ask` — SHIPPED Search snippets plus one local model call. No browser, no multi-step tool use, which is what makes this cheap and reliable. @@ -278,6 +300,10 @@ Two ceilings to write into the gate rather than discover in it: publishes no `linux-arm64` build. On arm64 Playwright falls back to a Chromium `headless_shell`. The weaker configuration is permanent, not a setup mistake. +- **Measure memory, not image size.** The gate is what the service holds + resident while the family is also using photos and documents, not what it + weighs on disk. Per-request startup beating a warm browser is the outcome + to aim for. - **Tier 3 is a treadmill, not a milestone.** Cloudflare turned on default AI-crawler blocking for free plans on 2026-09-15, with Web Bot Auth (Ed25519-signed requests, a published JWKS, an application process) as the @@ -290,12 +316,51 @@ Two ceilings to write into the gate rather than discover in it: **Harness improvement.** A `stacktests` case that asserts the gate escalates exactly once and never loops between tier 2 and tier 3. +## Feeds: the tier we are missing, 2026-09-16 + +Measured, anonymous, no browser: + +| URL | Result | +|---|---| +| `www.reddit.com/r/selfhosted/` | 8 KB JavaScript shell | +| `www.reddit.com/r/selfhosted/.json` | HTTP 403, a 190 KB HTML block page | +| `old.reddit.com/r/selfhosted/` | 302 to `/login?reason=lor2` | +| **`www.reddit.com/r/selfhosted/.rss`** | **HTTP 200, `application/atom+xml`, 25 entries with full post bodies** | +| **`/.rss`** | **HTTP 200, 21 entries — the post and its comments** | + +So reddit is fully readable without being signed in, and without a +browser. The feed is the door that was never locked, because it is +content the site publishes on purpose. That is the same reason tier 1 +works, and it puts feeds outside the bot-detection arms race entirely — +which matters more now that Cloudflare blocks AI crawlers by default. + +**This makes our own reddit profile actively harmful.** The `old.reddit` +rewrite shipped in phase 1 turns a working `www` feed URL into an +`old.reddit` one, which redirects to the login wall. The rewrite was +right when every option was an HTML variant and wrong the moment a feed +was on the table. It has to go, or narrow to HTML only. + +Design notes for the tier, when it is built: + +- It belongs beside tier 1, not after tier 2. Both read what the site + chose to publish; neither should pay for a failed scrape first. +- The mapping is per-profile, not autodiscovery. Reddit is unusual in + offering a feed for *any* page (`.rss`); most sites publish one + site-wide feed of recent items, which answers a different question and + will not contain an older pasted article. +- Rate limiting is the real constraint, not blocking. Reddit returned + 429 after a handful of quick requests and recovered within seconds. + A family pastes a few links a day, so a small backoff is enough. +- Parse with the stdlib, and cap the response first. `xml.etree` is + documented as vulnerable to entity-expansion blowup, and a size cap on + bytes we already control bounds that without adding a dependency. + ## Landscape check, 2026-09-15 -A survey of the agentic-browser and agent-web-access space, assessed against -this stack's constraints (arm64 only, nothing hosted, AGPLv3-compatible, -container weight, a local ~30B model). Three things changed a decision; the -rest confirmed one. +Full survey in [landscape.md](landscape.md). Assessed against this stack's +real constraints: resident memory first, then arm64-only, nothing hosted, +AGPLv3-compatible, and a local ~30B model. Three things changed a decision; +the rest confirmed one. **Structured data is the right long bet, and the competing standard is not.** JSON-LD now appears on about 41% of mobile pages and is still growing, which @@ -334,9 +399,27 @@ containing its SearXNG connector, which is BSL 1.1. ## What we are explicitly NOT building -- **lightpanda.** Solved the challenges on every blocked page and still returned - no content. Lost on Reddit too, where it rendered nav and footer with an empty - comments section. +- **lightpanda, re-measured 2026-09-16.** It has grown real capability + since the spike (`fetch`, `serve`, `mcp`, `--dump markdown`), ships a + 79 MB native aarch64 binary, and on raw character counts it looks like + a win: 34,040 characters on a chefkoch listing where our ladder + managed 106, and 55,992 on a reddit page where we get nothing. + + Reading the output settles it. The reddit 56 KB is the JS challenge + page plus navigation and Sign Up links, on a URL carrying + `js_challenge=1&jsc_token=`. The decathlon 454 characters are + *"Performing security verification... Ray ID"*. It renders the + obstacle, not the content, exactly as the first spike found. Rendering + was never the barrier; bot detection and authentication were, and a + browser changes neither. + + The one real gap it exposed was a listing page, and that is not a + rendering problem at all: the content was in the raw HTML the whole + time, and trafilatura discards listings by design because it hunts for + articles. The page publishes an `ItemList` of forty recipes with names + and links, which is cleaner than the browser's 34 KB of navigation and + star ratings and costs no dependency. Tier 1 now reads it. + - **SeleniumBase UC Mode.** Same capability as Scrapling, 12x slower, and needs x86 emulation because Google ships no Linux arm64 Chrome. - **CloakBrowser.** The binary is proprietary and the free tier requires signing @@ -354,22 +437,50 @@ containing its SearXNG connector, which is BSL 1.1. - **An MCP browser server for the agent.** Would put raw page content back in Stacky's context, which is the thing `stack web ask` exists to avoid. +## Everything that reads a page now runs in a container + +Resolved 2026-09-16. `stack web fetch` and `stack web ask` both route +through `stack.bot_runner.dispatch` into the bot-runner, which is where +the archivist already reads pages. Nothing in the web feature parses +hostile HTML as the host user any more. + +The bug that forced it was worse than the principle. The host has no +trafilatura, and `extract_body` returned None both when the library was +missing and when a page had no article, so the gate reported "empty — +the page yielded nothing" for pages it had never read. `stack web fetch` +looked healthy only because every URL used to demonstrate it was +answered by tier 0 or tier 1, neither of which needs an extractor. +`ExtractorUnavailable` now separates the two: a broken install cannot +impersonate a verdict about somebody's web page. + +A second reason outlives that fix. A diagnostic command has to +reproduce production, and library versions are part of production. +Measured on one chefkoch listing page, trafilatura 2.0.0 returned 433 +characters and 2.2.0 returned 106, either side of the gate's +250-character floor. The test environment was resolving 2.0.0 while the +container ran 2.2.0, both from `>=1.12,<3.0`, so the suite was +validating a version we do not ship. Both are now pinned to the same +minor line. + ## Open decisions -1. ~~**Image size budget for `stack-web-fetch`.**~~ **Resolved, and the - fallback was backwards.** Measured: the official `pyd4vinci/scrapling` - `linux/arm64` image is **644 MB compressed**, of which 441 MB is - `playwright install chromium` and 138 MB is `uv sync --all-extras`. - Installing only `[fetchers]` and `playwright install --only-shell chromium` - puts the floor around **400 MB**. Chromium's own apt dependencies rule out - 250 MB, so the budget moves rather than the design. - - Camoufox is no longer the escape hatch: **Scrapling dropped it entirely at - v0.3.13**, and `StealthyFetcher` is now patchright over Playwright Chromium - with a built-in Turnstile solver. Camoufox's `lin.arm64` asset is **623 MB - zipped on its own**, so "use Camoufox directly" is now a step backwards. - The arm64 story is patchright and Playwright shipping native aarch64 - wheels, not Camoufox's builds. +1. ~~**Image size budget for `stack-web-fetch`.**~~ **Withdrawn — it was + the wrong constraint.** Image size is cheap and the stacklet is opt-in by + construction, so a family that never pastes a shop link never pulls it. A + bigger image for a materially better fetcher is a fine trade. + + **The real constraint is resident memory.** The Mac Mini is already + running Immich, Paperless, Postgres, Synapse and a local model; a browser + held resident competes with photo thumbnailing and OCR for RAM, and losing + that is visible to the family as everything getting slow. Replace this + decision with a measurement: what does the fetch service hold at rest and + at peak, and can it be started per-request rather than kept warm? + + Related correction: **Scrapling dropped Camoufox entirely at v0.3.13**, so + "consider Camoufox directly" is no longer the fallback at all. + `StealthyFetcher` is now patchright over Playwright Chromium with a + built-in Turnstile solver, and Camoufox additionally wants Xvfb on Linux, + which costs a process and more RAM. See [landscape.md](landscape.md). 2. **Does tier 3 stay synchronous?** At 3.4s to 19.8s it fits in a chat round trip behind the existing 👀 ack. If real-world pages cluster at the slow end, it becomes a background job and the reply becomes "fetching, will file it". diff --git a/lib/stack/web/ask.py b/lib/stack/web/ask.py new file mode 100644 index 00000000..1918f446 --- /dev/null +++ b/lib/stack/web/ask.py @@ -0,0 +1,150 @@ +"""Answering a plain question from search snippets. + +Deliberately the smallest thing that works: one search, the top handful +of snippets, one model call. No second query, no fetching the pages, no +tool loop deciding what to read next. + +That is a judgement about what local models can actually do, not a +shortcut. The best measured browser agents complete about a third of +ordinary web tasks, and the gap between a frontier model and a small +one widens sharply on multi-step tool use. A single call over snippets +a search engine already ranked has none of those failure modes: it +either finds the answer in the text it was handed or it does not, and +"it does not" is a sentence the model can say. + +It is also what keeps the command cheap enough to sit in a chat round +trip, and it keeps page content out of the agent's context entirely -- +the agent gets an answer and some links, not a wall of HTML. + +This module is the pure half: snippets in, a prompt out, and the source +list that goes under the answer. No network, no model, no config, so it +is testable against a recorded search response. + +Stdlib only: the host CLI runs this without a virtualenv. +""" + +from __future__ import annotations + +import datetime as dt +from dataclasses import dataclass + +# Enough context to answer from, small enough that a local model reads +# it in a couple of seconds. Eight snippets of ~400 characters is +# roughly 800 tokens of evidence. +DEFAULT_SOURCES = 8 +DEFAULT_SNIPPET_CHARS = 400 + + +@dataclass(frozen=True) +class Source: + """One search hit, numbered so the answer can cite it.""" + + n: int + title: str + url: str + snippet: str + + +def sources_from(results: list[dict], *, limit: int = DEFAULT_SOURCES, + snippet_chars: int = DEFAULT_SNIPPET_CHARS) -> list[Source]: + """Turn raw search results into numbered, trimmed sources. + + Results with no URL are dropped: the whole contract is that every + claim is traceable, and a source the family cannot open is worse + than one fewer source. Results with no snippet are kept -- the title + alone is sometimes the answer ("Immich 2.1 released") -- but they + carry less weight simply by being shorter. + """ + sources: list[Source] = [] + for item in results: + url = (item.get("url") or "").strip() + if not url: + continue + snippet = " ".join((item.get("content") or "").split()) + if len(snippet) > snippet_chars: + snippet = snippet[: snippet_chars - 1].rstrip() + "…" + sources.append(Source( + n=len(sources) + 1, + title=" ".join((item.get("title") or "").split()), + url=url, + snippet=snippet, + )) + if len(sources) >= limit: + break + return sources + + +# ── The prompt ──────────────────────────────────────────────────────── +# +# Three things it has to get right, in order of how badly each fails: +# +# 1. Refusing. A model that answers from its own memory when the +# snippets do not cover the question is the failure mode that +# makes the whole command untrustworthy, because the answer looks +# exactly like a good one. So "I don't know" is named as a correct +# answer rather than left as an implicit option. +# 2. Citing. Numbers, not URLs -- a model that writes URLs from +# memory invents plausible ones, and the numbers map back to a +# list we printed ourselves. +# 3. Stopping. The answer goes in a chat message, so a few sentences. + +_INSTRUCTIONS = """\ +Answer the question using only the numbered search results below. +Today is {today}. + +Rules: +- Use only what the results say. Do not add facts from your own knowledge. +- If the results do not contain the answer, say so plainly in one sentence. \ +That is a correct and useful response, not a failure. +- Cite the results you used by number, like [1] or [2][3]. +- Be brief: a few sentences. No preamble, no restating the question. +- Answer in the language the question was asked in. +- When the answer is a figure, name what it measures using the source's own \ +term, and the period it covers. Never relabel a number. +- If the sources measure two different things the question treats as one, \ +give both, each with its own figure and term.""" + + +def build_prompt(question: str, sources: list[Source], + *, today: "dt.date | None" = None) -> str: + """The full prompt: instructions, the numbered results, the question. + + The question is repeated at the end because a local model reading a + long block of snippets attends better to what came last, and the + instructions at the top are what it needs first. + + `today` is passed in rather than read here so the prompt stays a + pure function of its inputs and the tests are not time-dependent. + Telling the model the date beats forbidding it to discuss recency: + search results are full of undated figures, and "the 2025 figure, + the most recent published" is more useful than either a bare number + or a refusal to characterise it. + """ + blocks = [] + for source in sources: + lines = [f"[{source.n}] {source.title}".rstrip(), f" {source.url}"] + if source.snippet: + lines.append(f" {source.snippet}") + blocks.append("\n".join(lines)) + + instructions = _INSTRUCTIONS.format( + today=(today or dt.date.today()).isoformat(), + ) + return ( + f"{instructions}\n\n" + f"Search results:\n\n" + f"{chr(10).join(blocks)}\n\n" + f"Question: {question.strip()}" + ) + + +def render_sources(sources: list[Source]) -> str: + """The source list printed under every answer. + + Printed whether or not the model found anything, and that is the + point: "I could not answer this, here is what I looked at" lets the + family judge for themselves, which a bare refusal does not. + """ + return "\n".join( + f" [{s.n}] {s.title or s.url}\n {s.url}" for s in sources + ) diff --git a/lib/stack/web/fetch.py b/lib/stack/web/fetch.py index aedb6d79..05ba2ac7 100644 --- a/lib/stack/web/fetch.py +++ b/lib/stack/web/fetch.py @@ -51,6 +51,16 @@ } +class ExtractorUnavailable(RuntimeError): + """Tier 2 cannot run because its dependency is missing. + + Deliberately not a `Verdict`. The gate judges pages, and this says + nothing about the page — it says our install is wrong. Collapsing + the two is what let a missing dependency masquerade as an empty + article. + """ + + @dataclass class Response: """What a transport hands back. Deliberately minimal — the ladder @@ -104,15 +114,25 @@ def extract_body( characters of sidebar and recall returned the 5513-character post. The per-domain profile decides; this function only applies it. - Returns None when trafilatura is unavailable or finds no body. The - caller treats both as "tier 2 produced nothing" and lets the gate - name it, so a missing dependency degrades to a link card rather - than an exception. + Returns None when there is no body to find. Raises + `ExtractorUnavailable` when trafilatura is not installed, which is a + different thing and must not be confused with it. + + An earlier version returned None for both. The gate then reported a + perfectly good page as "empty — the page yielded nothing", because + from its side an absent extractor and an absent article look + identical. That shipped, and `stack web fetch` silently answered + "empty" for every page on the host, where trafilatura is not + installed; the only URLs that appeared to work were the ones served + by tier 0 and tier 1, which need no extractor. A broken install must + not be able to impersonate a verdict about somebody's web page. """ try: import trafilatura - except ImportError: - return None + except ImportError as e: + raise ExtractorUnavailable( + "trafilatura is not installed, so page text cannot be extracted" + ) from e kwargs = { "output_format": "markdown", @@ -220,6 +240,9 @@ def _judge(response: Response, profile: Profile, *, tier: str = "2") -> FetchOut content=structured, url=response.url, tier="1", profile=profile.name, ) + # Deliberately not caught. A missing extractor is an install fault, + # and the honest response is to say so rather than to publish a + # judgement about the page that we are not equipped to make. body = extract_body( response.html, favor_recall=profile.favor_recall, diff --git a/lib/stack/web/structured.py b/lib/stack/web/structured.py index 9a881ade..29c14f90 100644 --- a/lib/stack/web/structured.py +++ b/lib/stack/web/structured.py @@ -29,6 +29,13 @@ from typing import Any, Iterator from stack.web.content import SourceContent +from stack.web.quality import page_title + +# Below this, a list is more likely a breadcrumb trail than the page's +# subject. Four is deliberate: sites nest three-level breadcrumbs as +# `ItemList` often enough that three would misfire, and a round-up with +# fewer than four entries is not worth a vault entry either. +_MIN_LIST_ENTRIES = 4 _LD_BLOCK_RE = re.compile( r']*type\s*=\s*["\']application/ld\+json["\'][^>]*>(.*?)', @@ -204,11 +211,60 @@ def _article_markdown(obj: dict) -> str | None: # ── Entry point ─────────────────────────────────────────────────────── +# ── Listing ────────────────────────────────────────────────────────── + +def _itemlist_markdown(obj: dict) -> str | None: + """An `ItemList` rendered as the list of things it points at. + + A search-results or round-up page is not an article, and extraction + correctly finds almost no prose on one: a chefkoch recipe search + returned 106 characters, which the gate called `empty`. That verdict + was true and useless, because the page carried forty recipes with + names and links, published as structured data for exactly this + purpose. + + Filing the *list* is the honest answer. What must not happen is + filing one of its entries as though it were the page, which is why + `_recipe_markdown` still refuses a `Recipe` that carries no + ingredients: a round-up embeds thirty of those. + + Returns None for a list too short to be the subject of the page. + Breadcrumb trails are `BreadcrumbList` rather than `ItemList`, but + sites mislabel them, and a three-crumb trail is indistinguishable + from a three-item list except by size. + """ + entries = [] + for item in obj.get("itemListElement") or []: + if not isinstance(item, dict): + continue + name = _text(item.get("name") or item.get("item")) + link = item.get("url") + if not isinstance(link, str): + nested = item.get("item") + link = nested.get("url") if isinstance(nested, dict) else None + if name and isinstance(link, str) and link.strip(): + entries.append((name, link.strip())) + + if len(entries) < _MIN_LIST_ENTRIES: + return None + + lines = [f"{len(entries)} entries on this page:", ""] + lines += [f"- [{name}]({link})" for name, link in entries] + return "\n".join(lines) + + +# Tried in this order, and the order is the whole correctness argument. +# A recipe page routinely carries a breadcrumb trail as well as its +# recipe; walking objects in document order and taking the first that +# renders would file the breadcrumb. So every reader is given a chance +# at the entire document before the next one is tried, and the specific +# kinds come before the generic list. _READERS = ( ("Recipe", _recipe_markdown), ("Article", _article_markdown), ("NewsArticle", _article_markdown), ("BlogPosting", _article_markdown), + ("ItemList", _itemlist_markdown), ) @@ -219,18 +275,27 @@ def read_structured(html: str, *, url: str | None = None) -> SourceContent | Non but not about this page — the caller falls through to general extraction, which is the common case. """ - for payload in _blocks(html): - for obj in _objects(payload): - for wanted, render in _READERS: - if not _has_type(obj, wanted): - continue - body = render(obj) - if not body: - continue - return SourceContent( - text=body, - mime="text/markdown", - title_hint=_text(obj.get("headline") or obj.get("name")) or None, - source_uri=url, - ) + objects = [obj for payload in _blocks(html) for obj in _objects(payload)] + + for wanted, render in _READERS: + for obj in objects: + if not _has_type(obj, wanted): + continue + body = render(obj) + if not body: + continue + # An `ItemList` usually carries no name of its own, and a + # capture with no title makes the classifier invent one. + # The document's `` is the page's own answer to what + # it is, so it is a better fallback than a guess. + return SourceContent( + text=body, + mime="text/markdown", + title_hint=( + _text(obj.get("headline") or obj.get("name")) + or page_title(html) + or None + ), + source_uri=url, + ) return None diff --git a/pyproject.toml b/pyproject.toml index 4e4fc2b7..758e8183 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -27,7 +27,11 @@ test = [ "pypdfium2>=4.0", # URL → Markdown for the archivist's capture pipeline. Tests run # trafilatura against fixture HTML in-process — no network calls. - "trafilatura>=1.12,<3.0", + # Kept in lockstep with stacklets/core/bot-runner/requirements.txt: + # the fixtures assert character counts against the gate's floor, so + # tests resolving a different minor version than the container would + # be validating something we do not ship. + "trafilatura>=2.2,<2.3", # The framework LLM client (stack.ai.client) wraps the OpenAI SDK. # Tests point it at a pytest-httpserver mock /v1 endpoint. "openai>=1.50,<3.0", diff --git a/stacklets/core/bot-runner/requirements.txt b/stacklets/core/bot-runner/requirements.txt index a6b1e4fa..70da64f1 100644 --- a/stacklets/core/bot-runner/requirements.txt +++ b/stacklets/core/bot-runner/requirements.txt @@ -15,7 +15,13 @@ pypdfium2>=4.0,<6.0 # Extract the main body of a web page and render it as Markdown. # Used by the archivist's URL-capture pipeline — pasted links to # articles get summarized + filed without going through Paperless. -trafilatura>=1.12,<3.0 +# Pinned to a minor line, not a range. Extraction output shifts between +# minor versions in ways that cross the quality gate's floor: on one +# chefkoch listing page, 2.0.0 returned 433 characters and 2.2.0 +# returned 106, either side of the 250-character threshold. A wide range +# let the test environment resolve 2.0.0 while the container ran 2.2.0, +# so the suite was validating a version we do not ship. +trafilatura>=2.2,<2.3 # OpenAI SDK backs the framework LLM client (stack.ai.client). Works # against any /v1/chat/completions provider (oMLX, Ollama, BYO) via # base_url. Pulls httpx + pydantic. diff --git a/stacklets/web/bot/cli_entrypoint.py b/stacklets/web/bot/cli_entrypoint.py new file mode 100644 index 00000000..512f9ee3 --- /dev/null +++ b/stacklets/web/bot/cli_entrypoint.py @@ -0,0 +1,183 @@ +"""Web CLI dispatcher — executed inside stack-core-bot-runner. + +Reasonable question on reading this: a chat completion is one POST with +a JSON body, so why route it through a container at all instead of +calling the endpoint from the host with urllib? It has been asked, and +answered the hard way, so the answer lives here. + +**One LLM client, not two.** `stack.ai.client` carries knowledge that +was expensive to acquire and is invisible until it is missing. The +sharpest example is `chat_template_kwargs: {enable_thinking: False}`: +without it a Qwen3 writes its deliberation into `content` and never +reaches the answer, and every other way of switching that off +(`reasoning_effort`, a top-level `enable_thinking`, a `reasoning` +object, a `/no_think` suffix) was verified against oMLX and had no +effect. A hand-rolled urllib version of this file was written, and lost +exactly that knob, and produced "Here's a thinking process: 1. Analyze +User Question" where an answer should have been. Timeouts tuned to +measured prefill rates and the typed error mapping are the same kind of +debt waiting to be re-incurred. + +**Hostile input belongs in a container.** Search snippets are +attacker-influenced text: a page that ranks can say whatever it likes, +and that text goes into a prompt here and out to whatever called us. +The completion itself holds no tools, so the blast radius is content +rather than execution — but this is the seam where hostile bytes meet +our code, and the host is where the SSH keys and the vault live. A +family server should not be parsing the internet as the person who owns +the machine. + +Same arrangement as `stack docs` and `stack memory capture`; the +mechanism itself is `stack.bot_runner`, lifted there when the pattern +found its second user. + +`stack web fetch` runs here too, and for a sharper reason than ask: +extraction needs trafilatura and lxml, which the host does not have. +Before this it silently answered "empty" for every page that was not +served by tier 0 or tier 1, because a missing extractor and an absent +article were indistinguishable from the gate's side. + +There is a second reason that survives even after the dependency is +present. A diagnostic command has to reproduce production. The archivist +reads pages with this code, inside this container, against these library +versions; a CLI that reads them with different ones answers a question +nobody asked. Measured on one chefkoch listing page, two trafilatura +versions returned 106 and 433 characters for identical bytes, which +lands either side of the gate's floor. + +Commands: + ask "<question>" [--json] [--sources N] + fetch <url> [--json] [--timeout N] +""" + +from __future__ import annotations + +import argparse +import asyncio +import json +import sys + +sys.path.insert(0, "/stacklets/web/cli") # search() +sys.path.insert(0, "/app") # stack.* — the framework is mounted there + +from search import DEFAULT_COUNT, search # noqa: E402 +from stack.ai.client import LLM, LLMError # noqa: E402 +from stack.web import fetch_url # noqa: E402 +from stack.web.ask import build_prompt, render_sources, sources_from # noqa: E402 +from stack.web.fetch import urllib_transport # noqa: E402 + +# Container-side address. The published host port is not reachable from +# in here; both containers sit on the external `stack` network. +SEARCH_URL = "http://stack-web-search:8080/search" + + +async def _ask(question: str, count: int, as_json: bool) -> int: + try: + results = search(question, count=count, base_url=SEARCH_URL) + except OSError: + print("Ask needs the web stacklet running. Run `stack up web`.", + file=sys.stderr) + return 1 + + sources = sources_from(results, limit=count) + if not sources: + print(f'Search returned nothing for "{question}".', file=sys.stderr) + return 1 + + llm = LLM.from_env(namespace="web") + try: + # Capped because the size of a valid answer is known in advance: + # a few sentences plus citations. Without a cap, a model that + # enters a repetition loop generates until the client timeout. + answer = (await llm.complete( + "ask", build_prompt(question, sources), + temperature=0.0, max_tokens=600, timeout=180.0, + )).strip() + except LLMError as e: + # The search worked; only the summarising failed. The links are + # still worth printing -- the family can read them itself. + print(f"\n Couldn't reach the model ({e}). What the search found:\n") + print(render_sources(sources)) + print() + return 1 + finally: + await llm.aclose() + + if as_json: + print(json.dumps({ + "question": question, + "answer": answer, + "sources": [{"n": s.n, "title": s.title, "url": s.url} for s in sources], + }, indent=2, ensure_ascii=False)) + return 0 + + print() + print(answer) + print() + print(" Sources") + print(render_sources(sources)) + print() + return 0 + + +async def _fetch(url: str, timeout: int, as_json: bool) -> int: + outcome = await fetch_url(url, transport=urllib_transport(timeout=timeout)) + + if as_json: + print(json.dumps({ + "url": outcome.url, + "verdict": outcome.verdict.name, + "detail": outcome.verdict.detail, + "tier": outcome.tier, + "profile": outcome.profile, + "title": outcome.content.title_hint if outcome.content else None, + "text": outcome.content.text if outcome.content else None, + }, indent=2, ensure_ascii=False)) + return 0 if outcome.ok else 1 + + # Two lines either way: what we ended up reading, and how we got + # there. A refusal is the same shape with no body under it. + print() + print(f" {outcome.content.title_hint if outcome.content else outcome.url}") + if outcome.ok: + print(f" tier {outcome.tier} ({outcome.profile}) — {outcome.verdict.detail}") + print() + print(outcome.content.text) + else: + print(f" {outcome.verdict.name} — {outcome.verdict.detail}") + print() + return 0 if outcome.ok else 1 + + +def main(argv: list[str]) -> int: + if not argv or argv[0] not in ("ask", "fetch"): + print(__doc__.strip(), file=sys.stderr) + return 2 + + if argv[0] == "fetch": + parser = argparse.ArgumentParser(prog="stack web fetch", add_help=False) + parser.add_argument("url", nargs="?") + parser.add_argument("--json", action="store_true") + parser.add_argument("--timeout", type=int, default=30) + opts = parser.parse_args(argv[1:]) + if not opts.url: + print('usage: stack web fetch <url>', file=sys.stderr) + return 2 + return asyncio.run(_fetch(opts.url, opts.timeout, opts.json)) + + parser = argparse.ArgumentParser(prog="stack web ask", add_help=False) + parser.add_argument("question", nargs="*") + parser.add_argument("--json", action="store_true") + parser.add_argument("--sources", type=int, default=DEFAULT_COUNT) + opts = parser.parse_args(argv[1:]) + + question = " ".join(opts.question).strip() + if not question: + print("usage: stack web ask \"<question>\"", file=sys.stderr) + return 2 + + return asyncio.run(_ask(question, opts.sources, opts.json)) + + +if __name__ == "__main__": + raise SystemExit(main(sys.argv[1:])) diff --git a/stacklets/web/cli/ask.py b/stacklets/web/cli/ask.py new file mode 100644 index 00000000..0bb1fa72 --- /dev/null +++ b/stacklets/web/cli/ask.py @@ -0,0 +1,50 @@ +"""stack web ask <question> — a plain question, a short answer, its sources. + +One search, the top handful of snippets, one model call. No second +query, no fetching the pages, no tool loop deciding what to read next. + + stack web ask "does immich support raw files" + Yes. Immich stores the original RAW file untouched [2][4]; + PhotoPrism reads RAW but converts for display [4]. + + Sources + [2] Immich vs PhotoPrism 2026 + https://example.com/immich-vs-photoprism + +That shape is a judgement about what a local model can actually do, not +a shortcut. The best measured browser agents finish about a third of +ordinary web tasks, and multi-step tool use is where small models fall +off hardest. One call over snippets a search engine already ranked has +none of those failure modes: it either finds the answer in the text it +was handed or it says it did not. + +The sources print whether or not an answer was found. "I could not +answer this, here is what I looked at" lets the family judge for +themselves; a bare refusal does not. + + stack web ask "..." --json for an agent + stack web ask "..." --sources 4 fewer, shorter + +Needs the web stacklet up for search, and core up for the model: the +work runs inside the bot-runner, because the host CLI is stdlib-only +and the LLM client is not. `stack web fetch` has no such dependency and +still works with nothing running. +""" + +HELP = "Ask a question and get an answer with sources" + +import sys +from pathlib import Path + +sys.path.insert(0, str(Path(__file__).resolve().parents[3] / "lib")) + +from stack.bot_runner import dispatch # noqa: E402 + +_ENTRYPOINT = "/stacklets/web/bot/cli_entrypoint.py" + + +def run(args, stacklet, config): + if not args or args[0] in ("-h", "--help"): + print(__doc__.strip()) + return {"ok": True} + return dispatch(_ENTRYPOINT, "ask", *args) diff --git a/stacklets/web/cli/fetch.py b/stacklets/web/cli/fetch.py index 17930150..4856cbd9 100644 --- a/stacklets/web/cli/fetch.py +++ b/stacklets/web/cli/fetch.py @@ -1,13 +1,10 @@ """stack web fetch <url> — read a web page the way the archivist does. -Host-native. Same code path the bot takes for a pasted link, with -nothing running: canonicalize the URL, try the page's own structured -data, fall back to HTTP plus extraction, and put the result through the -quality gate. No container, no model, no network hop to a service. - -That is the point of the command. When a link files badly, the question -is always "what did we actually get back", and answering it should not -require the stack to be up or a bot to be restarted. +Literally the way the archivist does: same code, same container, same +library versions. That is the whole value of the command. When a link +files badly the question is "what did we actually get back", and an +answer produced by a different extractor on a different machine is not +an answer to it. stack web fetch https://www.essen-und-trinken.de/rezepte/48816-... Griechischer Salat Rezept @@ -25,64 +22,31 @@ challenge — bot protection served 'just a moment...' instead of the page A refusal is a successful read of a blocked page, not a command -failure, so the exit code stays 0. The branch point for a script is -`--json`, whose `verdict` field carries which of the five refusals it -was — more than an exit code could say — alongside the tier, the +failure, so it is `--json` that a script branches on: the `verdict` +field carries which of the refusals it was, alongside the tier, the profile, the title and the body. + +Runs in the bot-runner. It used to run on the host, which was wrong +twice over: the host has no trafilatura, so every page not served by +tier 0 or tier 1 came back "empty" whether or not it had content, and +even once that is fixed a host-side reader would be parsing hostile +HTML as the user who owns the machine. """ HELP = "Read a web page and print it as Markdown" -import argparse -import asyncio -import json import sys from pathlib import Path sys.path.insert(0, str(Path(__file__).resolve().parents[3] / "lib")) -from stack.web import fetch_url # noqa: E402 -from stack.web.fetch import urllib_transport # noqa: E402 +from stack.bot_runner import dispatch # noqa: E402 +_ENTRYPOINT = "/stacklets/web/bot/cli_entrypoint.py" -def run(args, stacklet, config): - parser = argparse.ArgumentParser(prog="stack web fetch", add_help=False) - parser.add_argument("url", nargs="?") - parser.add_argument("--json", action="store_true") - parser.add_argument("--timeout", type=int, default=30) - parser.add_argument("-h", "--help", action="store_true") - opts = parser.parse_args(args) - if opts.help or not opts.url: +def run(args, stacklet, config): + if not args or args[0] in ("-h", "--help"): print(__doc__.strip()) return {"ok": True} - - outcome = asyncio.run(fetch_url( - opts.url, transport=urllib_transport(timeout=opts.timeout), - )) - - if opts.json: - print(json.dumps({ - "url": outcome.url, - "verdict": outcome.verdict.name, - "detail": outcome.verdict.detail, - "tier": outcome.tier, - "profile": outcome.profile, - "title": outcome.content.title_hint if outcome.content else None, - "text": outcome.content.text if outcome.content else None, - }, indent=2, ensure_ascii=False)) - return {"ok": outcome.ok} - - # The header is the same two lines either way -- what we ended up - # reading, and how we got there. A refusal is not an error report, - # it is the same shape with no body under it. - print() - print(f" {outcome.content.title_hint if outcome.content else outcome.url}") - if outcome.ok: - print(f" tier {outcome.tier} ({outcome.profile}) — {outcome.verdict.detail}") - print() - print(outcome.content.text) - else: - print(f" {outcome.verdict.name} — {outcome.verdict.detail}") - print() - return {"ok": outcome.ok} + return dispatch(_ENTRYPOINT, "fetch", *args) diff --git a/stacklets/web/cli/search.py b/stacklets/web/cli/search.py index 5fdf2d36..64c925d0 100644 --- a/stacklets/web/cli/search.py +++ b/stacklets/web/cli/search.py @@ -37,12 +37,19 @@ DEFAULT_COUNT = 8 -def search(query: str, *, count: int = DEFAULT_COUNT, timeout: int = 20) -> list[dict]: +def search(query: str, *, count: int = DEFAULT_COUNT, timeout: int = 20, + base_url: str = SEARCH_URL) -> list[dict]: """Results as a list of `{title, url, content, engine}`. Raises OSError - when the service cannot be reached.""" + when the service cannot be reached. + + `base_url` exists because this runs from two places. On the host it + is the published port; inside the bot-runner (where `stack web ask` + does its work, since the host CLI is stdlib-only and the LLM client + is not) it is the container name on the stack network. + """ params = urllib.parse.urlencode({"q": query, "format": "json"}) request = urllib.request.Request( - f"{SEARCH_URL}?{params}", + f"{base_url}?{params}", headers={"Accept": "application/json"}, ) with urllib.request.urlopen(request, timeout=timeout) as response: diff --git a/stacklets/web/stacklet.toml b/stacklets/web/stacklet.toml index 7047e3c9..5d6ffe15 100644 --- a/stacklets/web/stacklet.toml +++ b/stacklets/web/stacklet.toml @@ -1,11 +1,11 @@ # stacklet.toml — web stacklet (reading the internet) # -# The stacklet is what *stops* web reading being heavy. Fetching a -# pasted link is not in here: canonicalization, structured data, plain -# HTTP, extraction and the quality gate are pure Python in -# `lib/stack/web/`, so `stack web fetch` works with nothing running and -# the archivist never waits on a container for the case that never -# needed one. +# The stacklet is what *stops* web reading being heavy. Reading a pasted +# link is not in here: canonicalization, structured data, plain HTTP, +# extraction and the quality gate live in `lib/stack/web/`, which the +# bot-runner already carries. A family that never installs this stacklet +# still gets link capture, and the archivist never waits on a container +# for the case that never needed one. # # What is in here is the part that genuinely needs a service. Search is # a search engine. The stealth fetch tier, when it lands, is a browser @@ -25,7 +25,7 @@ port = 42080 hints = [ "Search at {url}", "From the terminal: `stack web search \"immich vs photoprism\"`", - "Read a page: `stack web fetch <url>` (works with nothing running)", + "Read a page: `stack web fetch <url>` (does not need this stacklet)", ] [upstream] @@ -39,8 +39,10 @@ channel = "patch" generate = ["WEB_SECRET"] [env.defaults] -WEB_DATA_DIR = "{data_dir}/web" -TZ = "{timezone}" +# No data dir. SearXNG keeps no index and no state: it forwards a query +# to upstream engines and merges the replies. Declaring one would create +# an empty directory for teardown to clean up again. +TZ = "{timezone}" [health] url = "http://localhost:42080/healthz" diff --git a/tests/fixtures/web/listing-itemlist.html b/tests/fixtures/web/listing-itemlist.html new file mode 100644 index 00000000..c77c7b86 --- /dev/null +++ b/tests/fixtures/web/listing-itemlist.html @@ -0,0 +1,17 @@ +<!DOCTYPE html><html><head><meta charset="utf-8"><meta name="viewport" content="width=device-width, initial-scale=1"><title>Minzjoghurt Rezepte | Chefkoch + + + + + + + + + + + + +
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Minzjoghurt +Rezepte

40 Rezepte
40 Rezepte
Rote Linsen mit Minzjoghurt
Durchschnittliche Bewertung: 4,3 von 5 Sternen von 5 Sternen(35 Bewertungen)

Rote Linsen mit Minzjoghurt

30 Min.normal
Erbsencremesuppe mit Minzjoghurt
Durchschnittliche Bewertung: 4,6 von 5 Sternen von 5 Sternen(48 Bewertungen)

Erbsencremesuppe mit Minzjoghurt

15 Min.simpel
Indisches Linsencurry mit Minzjoghurt
Durchschnittliche Bewertung: 4,9 von 5 Sternen von 5 Sternen(9 Bewertungen)

Indisches Linsencurry mit Minzjoghurt

30 Min.normal
Knuspriges Zucchinischnitzel mit Gemüsebulgur und Minzjoghurt
Durchschnittliche Bewertung: 4,4 von 5 Sternen von 5 Sternen(28 Bewertungen)

Knuspriges Zucchinischnitzel mit Gemüsebulgur und Minzjoghurt

30 Min.normal
vegetarisch und leicht. Ideal für Frühling und Sommer.
Marokkanischer Rinderschmortopf mit Pflaumen und Minzjoghurt
Durchschnittliche Bewertung: 4,5 von 5 Sternen von 5 Sternen(10 Bewertungen)

Marokkanischer Rinderschmortopf mit Pflaumen und Minzjoghurt

45 Min.normal
Paprika-Reispfanne mit frischem Minzjoghurt
Durchschnittliche Bewertung: 5 von 5 Sternen von 5 Sternen(3 Bewertungen)

Paprika-Reispfanne mit frischem Minzjoghurt

30 Min.normal
einfach und frisch
Spinatfalafel mit Ofenauberginen und Minzjoghurt
Durchschnittliche Bewertung: 5 von 5 Sternen von 5 Sternen(3 Bewertungen)

Spinatfalafel mit Ofenauberginen und Minzjoghurt

60 Min.normal
vegetarisch, mit Sesam, gut vorzubereiten
Linsen, Bulgur, Tomaten, Lammlachs, Minzjoghurt von Das perfekte Dinner

Linsen, Bulgur, Tomaten, Lammlachs, Minzjoghurt

60 Min.normal
aus der Sendung „Das perfekte Dinner“ auf VOX vom 02.11.22
Bild von Das perfekte Dinner
vonDas perfekte Dinner
Kalbsbäckchen mit Ofengemüse, Bulgur, Minzjoghurt und Avocado-Kirsch-Kreuzkümmel-Creme von Das perfekte Dinner

Kalbsbäckchen mit Ofengemüse, Bulgur, Minzjoghurt und Avocado-Kirsch-Kreuzkümmel-Creme

155 Min.normal
aus der Sendung „Das perfekte Dinner“ auf VOX vom 25.06.21
Bild von Das perfekte Dinner
vonDas perfekte Dinner
Keralan Curry mit Safranreis und Minzjoghurt
Durchschnittliche Bewertung: 4 von 5 Sternen von 5 Sternen(3 Bewertungen)

Keralan Curry mit Safranreis und Minzjoghurt

30 Min.normal
vegetarisch und fruchtig
Schweinefilet mit Gyrosgewürz & Minz-Joghurt von BRIGITTE

Schweinefilet mit Gyrosgewürz & Minz-Joghurt

25 Min.simpel
Mit Minze und Oregano
Bild von BRIGITTE
vonBRIGITTE
Erbsensuppe mit Minzjoghurt
Durchschnittliche Bewertung: 5 von 5 Sternen von 5 Sternen(1 Bewertungen)

Erbsensuppe mit Minzjoghurt

30 Min.simpel
Falafel, Minzjoghurt und Ofengemüse
Durchschnittliche Bewertung: 4 von 5 Sternen von 5 Sternen(2 Bewertungen)

Falafel, Minzjoghurt und Ofengemüse

30 Min.simpel
vegan
Syrisches Kopfüber mit Minzjoghurt
Durchschnittliche Bewertung: 4 von 5 Sternen von 5 Sternen(1 Bewertungen)

Syrisches Kopfüber mit Minzjoghurt

180 Min.pfiffig
syrisches Festtagsgericht mit Huhn, Auberginen, Reis und Mandeln von meinem Bekannten Husam
Exotischer Kartoffeleintopf mit roten Linsen und Minzjoghurt
Durchschnittliche Bewertung: 4,5 von 5 Sternen von 5 Sternen(2 Bewertungen)

Exotischer Kartoffeleintopf mit roten Linsen und Minzjoghurt

20 Min.normal
vegetarisch
Orientalische Fleischbällchen in gewürzter Tomatensauce gegart mit Minzjoghurt
Durchschnittliche Bewertung: 5 von 5 Sternen von 5 Sternen(1 Bewertungen)

Orientalische Fleischbällchen in gewürzter Tomatensauce gegart mit Minzjoghurt

30 Min.normal
schmeckt auch kalt im Sommer
Kürbis vom Blech mit Minzjoghurt
(0 Bewertungen)

Kürbis vom Blech mit Minzjoghurt

30 Min.simpel
vegetarisch und schnell
Minzjoghurt
(0 Bewertungen)

Minzjoghurt

2 Min.simpel
Schneller Low Carb Nachtisch
Karotten-Aprikosen-Frikadellen mit Minzjoghurt
(0 Bewertungen)

Karotten-Aprikosen-Frikadellen mit Minzjoghurt

30 Min.simpel
Havuc köftesi. Überraschend fruchtig und lecker!
Schokomüsli mit Erdbeeren und Minzjoghurt
(0 Bewertungen)

Schokomüsli mit Erdbeeren und Minzjoghurt

10 Min.simpel
Lammschnitzel mit Minzjoghurt
(0 Bewertungen)

Lammschnitzel mit Minzjoghurt

20 Min.simpel
schnelle Zubereitung
Türkische Hackröllchen mit Minzjoghurt
(0 Bewertungen)

Türkische Hackröllchen mit Minzjoghurt

30 Min.normal
Linsen-Mango-Salat mit Minz-Joghurt-Dip
Durchschnittliche Bewertung: 5 von 5 Sternen von 5 Sternen(5 Bewertungen)

Linsen-Mango-Salat mit Minz-Joghurt-Dip

30 Min.normal
Gefüllte Dolma Paprika mit Tomatenhaube und Honig-Minz-Joghurt
Durchschnittliche Bewertung: 4,8 von 5 Sternen von 5 Sternen(4 Bewertungen)

Gefüllte Dolma Paprika mit Tomatenhaube und Honig-Minz-Joghurt

30 Min.normal
Tahdig - Knusperreis mit Berberitzen und Minzjoghurtdip
Durchschnittliche Bewertung: 5 von 5 Sternen von 5 Sternen(3 Bewertungen)

Tahdig - Knusperreis mit Berberitzen und Minzjoghurtdip

15 Min.normal
aus dem kleinen Reiskocher
Fettarme gebackene Auberginen mit Gurken-Minz-Joghurt
Durchschnittliche Bewertung: 4,6 von 5 Sternen von 5 Sternen(5 Bewertungen)

Fettarme gebackene Auberginen mit Gurken-Minz-Joghurt

20 Min.simpel
schnell zubereitet, fettarm, frisch und lecker
Hähnchen mit Gurken-Couscous und Minz-Joghurt
Durchschnittliche Bewertung: 5 von 5 Sternen von 5 Sternen(3 Bewertungen)

Hähnchen mit Gurken-Couscous und Minz-Joghurt

20 Min.simpel
Hackröllchen in Minz - Joghurt - Soße
Durchschnittliche Bewertung: 4,2 von 5 Sternen von 5 Sternen(10 Bewertungen)

Hackröllchen in Minz - Joghurt - Soße

45 Min.normal
Würziges Schweinefilet mit Minz-Joghurtsauce
Durchschnittliche Bewertung: 4,7 von 5 Sternen von 5 Sternen(3 Bewertungen)

Würziges Schweinefilet mit Minz-Joghurtsauce

15 Min.normal
Aus dem Dampfkombigarer
Fruchtiger Minz-Joghurt (Dip)
Durchschnittliche Bewertung: 4,5 von 5 Sternen von 5 Sternen(2 Bewertungen)

Fruchtiger Minz-Joghurt (Dip)

5 Min.simpel
perfekt zu Gemüse, Lamm, arabischer Küche oder einfach pur
Fenchel-Wurzelgemüse mit Minz-Joghurt Sauce
Durchschnittliche Bewertung: 4 von 5 Sternen von 5 Sternen(3 Bewertungen)

Fenchel-Wurzelgemüse mit Minz-Joghurt Sauce

25 Min.simpel
einfaches vegetarisches Hauptgericht
Erdbeer-Minz-Joghurt-Torte
Durchschnittliche Bewertung: 5 von 5 Sternen von 5 Sternen(1 Bewertungen)

Erdbeer-Minz-Joghurt-Torte

60 Min.normal
Halloumiburger mit Minz-Joghurt-Sauce
Durchschnittliche Bewertung: 4 von 5 Sternen von 5 Sternen(1 Bewertungen)

Halloumiburger mit Minz-Joghurt-Sauce

15 Min.simpel
Orangen-Bulgur mit Zucchini, Zuckeraprikosen, Mohn und Sumach-Minz-Joghurt
(0 Bewertungen)

Orangen-Bulgur mit Zucchini, Zuckeraprikosen, Mohn und Sumach-Minz-Joghurt

40 Min.normal
Lammfilet in Minz-Joghurt
Durchschnittliche Bewertung: 5 von 5 Sternen von 5 Sternen(1 Bewertungen)

Lammfilet in Minz-Joghurt

30 Min.normal
Mojito-Lachs mit Minz-Joghurt
(0 Bewertungen)

Mojito-Lachs mit Minz-Joghurt

30 Min.normal
Süßkartoffel-Quinoa-Fritters mit Minz-Joghurt und Salat von essen & trinken

Süßkartoffel-Quinoa-Fritters mit Minz-Joghurt und Salat

15 Min.normal
Mit geriebenem Cheddar
Bild von essen & trinken
vonessen & trinken
Yayla Corbasi
Durchschnittliche Bewertung: 2,3 von 5 Sternen von 5 Sternen(3 Bewertungen)

Yayla Corbasi

10 Min.simpel
traditionelle türkische warme Minz-Joghurtsuppe
Minzejoghurt mit Früchten
Durchschnittliche Bewertung: 3 von 5 Sternen von 5 Sternen(2 Bewertungen)

Minzejoghurt mit Früchten

10 Min.simpel
sommerlich leichtes Dessert oder auch als Frühstück
Orientalischer Kichererbsen-Gemüse-Eintopf mit Minzejoghurt
Durchschnittliche Bewertung: 4 von 5 Sternen von 5 Sternen(1 Bewertungen)

Orientalischer Kichererbsen-Gemüse-Eintopf mit Minzejoghurt

30 Min.simpel
braucht Vorbereitungszeit

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Gnocchi mit Champignons und Basilikum

Gnocchi mit Champignons und Basilikum

Gyros-Spätzle-Auflauf

Gyros-Spätzle-Auflauf

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Hackfleisch-Sauerkraut-Auflauf mit Schupfnudeln

Hackfleisch-Sauerkraut-Auflauf mit Schupfnudeln

Klassische Lasagne

Klassische Lasagne

Filet im Speckmantel mit Spätzle

Filet im Speckmantel mit Spätzle

Gyros-Spätzle-Auflauf

Gyros-Spätzle-Auflauf

+ \ No newline at end of file diff --git a/tests/fixtures/web/searxng-response.json b/tests/fixtures/web/searxng-response.json new file mode 100644 index 00000000..a649b9de --- /dev/null +++ b/tests/fixtures/web/searxng-response.json @@ -0,0 +1,108 @@ +{ + "query": "immich vs photoprism", + "number_of_results": null, + "results": [ + { + "url": "https://www.reddit.com/r/selfhosted/comments/1doatsa/immich_vs_photoprism/", + "title": "Immich vs photoprism : r/selfhosted - Reddit", + "content": "25.06.2024 ... Im using both, they have different use case, indeed photoprism si best as managing picture collection, but needs a thirdy program to backup ...", + "engine": "google cse", + "engines": [ + "brave", + "google cse" + ], + "score": 4.0 + }, + { + "url": "https://jellywatch.app/blog/jellyfin-vs-immich-vs-photoprism-vs-nextcloud-photos-2026", + "title": "Jellyfin vs Immich vs Photoprism vs Nextcloud Photos 2026: Complete Self-Hosted Photo Comparison — JellyWatch Blog", + "content": "Is Nextcloud Photos good enough on its own? For casual use, yes. For serious photo management (face detection, search, RAW), Immich or Photoprism is significantly better.", + "engine": "brave", + "engines": [ + "brave" + ], + "score": 0.8333333333333333 + }, + { + "url": "https://discuss.privacyguides.net/t/immich-photo-manager-self-hosted/17033", + "title": "Immich Photo Manager (Self-Hosted) - Tool Suggestions - Privacy Guides Community", + "content": "Immich is a feature rich and privacy respecting solution for self-hosting photos and videos. It is very capable and meets all the required criteria for recommendation. Please check it out at the link below.", + "engine": "brave", + "engines": [ + "brave" + ], + "score": 0.8095238095238095 + }, + { + "url": "https://www.reddit.com/r/selfhosted/comments/1jmwt0z/immich_vs_photoprism/?tl=de", + "title": "Immich vs Photoprism : r/selfhosted - Reddit", + "content": "29.03.2025 ... Ich habe Photoprism vor über einem Jahr widerwillig aufgegeben und würde fast nie in Betracht ziehen, zurückzuwechseln. Photoprism ist großartig ...", + "engine": "google cse", + "engines": [ + "google cse" + ], + "score": 0.3333333333333333 + }, + { + "url": "https://www.reddit.com/r/selfhosted/comments/1azx5yj/immich_or_photoprism/?tl=de", + "title": "Immich oder Photoprism : r/selfhosted - Reddit", + "content": "25.02.2024 ... Die Gesichtserkennung von Immich ist der von Photoprism weit voraus. Ich würde sagen, dass sie im Vergleich zu Immich in Photoprism fast ...", + "engine": "google cse", + "engines": [ + "google cse" + ], + "score": 0.125 + }, + { + "url": "https://www.reddit.com/r/selfhosted/comments/1doatsa/immich_vs_photoprism/?tl=de", + "title": "Immich gegen Photoprism : r/selfhosted - Reddit", + "content": "25.06.2024 ... Beide sind solide, Immich hat einen offeneren (und kurzlebigeren) Entwicklungspfad. Es gibt nur eine Sache, die mich bei Immich ärgert, was ...", + "engine": "google cse", + "engines": [ + "google cse" + ], + "score": 0.07692307692307693 + }, + { + "url": "https://tmnascommunity.eu/forums/topic/immich-and-or-photoprism/", + "title": "immich and/or photoprism – TerraMaster Community Place", + "content": "Hi!, please, can be possible to add here immich or photoprism? there are google photos alternative.", + "engine": "brave", + "engines": [ + "brave" + ], + "score": 0.06666666666666667 + }, + { + "url": "https://gethomepage.dev/configs/settings/", + "title": "Settings - Homepage", + "content": "The settings.yaml file allows you to define application level options. For changes made to this file to take effect, you will need to regenerate the static HTML, this can be done by clicking the refresh icon in the bottom right of the page · You can customize the title of the page if you'd like", + "engine": "brave", + "engines": [ + "brave" + ], + "score": 0.0625 + }, + { + "url": "https://dicloak.com/blog-detail/immich-vs-photoprism-2025--which-is-the-best-photo-management-tool", + "title": "Immich Vs PhotoPrism (2025) | Which Is The Best Photo Management Tool?", + "content": "This article compares two open-source ... community support. Image is favored for its speed, ease of use, and mobile optimization, while Photo Prism excels in advanced AI features and search functionalities....", + "engine": "brave", + "engines": [ + "brave" + ], + "score": 0.058823529411764705 + }, + { + "url": "https://blog.elest.io/immich-vs-photoprism-which-self-hosted-photo-manager-for-your-family/", + "title": "Immich vs PhotoPrism: Which Self-Hosted Photo Manager for Your Family?", + "content": "Immich is the more resource-hungry option but also the fastest. Large libraries load quickly, the web UI is snappy, and upload processing is efficient. Expect to allocate 4+ GB of RAM for a comfortable experience.", + "engine": "google cse", + "engines": [ + "brave", + "google cse" + ], + "score": 2.0 + } + ] +} \ No newline at end of file diff --git a/tests/framework/test_web_ask.py b/tests/framework/test_web_ask.py new file mode 100644 index 00000000..d0ed08b6 --- /dev/null +++ b/tests/framework/test_web_ask.py @@ -0,0 +1,224 @@ +"""What `stack web ask` promises before any model is involved. + +The command is one search plus one model call. That leaves exactly one +piece of pure logic worth pinning: what evidence the model is shown, +how it is numbered, and what it is told to do when the evidence does +not cover the question. + +The last of those is the whole trustworthiness of the feature. A model +that quietly answers from its own memory produces something that reads +exactly like a good answer and is not one, and no amount of testing +downstream catches it. So "I don't know" is named in the prompt as a +correct response, and that instruction is asserted here rather than +left to survive a future prompt tweak by luck. + +Driven against `tests/fixtures/web/searxng-response.json`, a recorded +response from the real SearXNG container, so these run with no network +and no model. +""" + +from __future__ import annotations + +import json +from pathlib import Path + +import pytest + +from stack.web.ask import ( + DEFAULT_SOURCES, + Source, + build_prompt, + render_sources, + sources_from, +) + +FIXTURE = Path(__file__).parent.parent / "fixtures" / "web" / "searxng-response.json" + + +@pytest.fixture(scope="module") +def results() -> list[dict]: + return json.loads(FIXTURE.read_text(encoding="utf-8"))["results"] + + +# ── Evidence selection ──────────────────────────────────────────────── + +class TestSourcesAreNumberedAndTrimmed: + def test_real_results_become_numbered_sources(self, results): + sources = sources_from(results) + + assert sources + assert [s.n for s in sources] == list(range(1, len(sources) + 1)) + assert all(s.url.startswith("http") for s in sources) + + def test_the_limit_is_honoured(self, results): + """The model's context is the budget being spent here.""" + assert len(sources_from(results, limit=3)) == 3 + + def test_the_default_limit_is_applied(self, results): + assert len(sources_from(results)) <= DEFAULT_SOURCES + + def test_long_snippets_are_truncated_with_an_ellipsis(self): + long = [{"url": "https://e.com/a", "title": "T", "content": "x" * 900}] + [source] = sources_from(long, snippet_chars=100) + + assert len(source.snippet) == 100 + assert source.snippet.endswith("…") + + def test_snippet_whitespace_is_flattened(self): + """Search snippets arrive with newlines and runs of spaces. Left + alone they break the numbered layout the prompt relies on.""" + messy = [{"url": "https://e.com/a", "title": "T", + "content": "one\n\n two\t\tthree"}] + [source] = sources_from(messy) + + assert source.snippet == "one two three" + + def test_a_result_with_no_url_is_dropped(self): + """Every claim has to be traceable. A source the family cannot + open is worse than one fewer source.""" + mixed = [ + {"url": "", "title": "no link", "content": "text"}, + {"url": "https://e.com/a", "title": "real", "content": "text"}, + ] + [source] = sources_from(mixed) + + assert source.title == "real" + assert source.n == 1, "numbering must close the gap, not skip" + + def test_a_result_with_no_snippet_is_kept(self): + """The title alone is sometimes the answer -- "Immich 2.1 + released" needs no snippet to be useful.""" + titled = [{"url": "https://e.com/a", "title": "Immich 2.1 released", + "content": ""}] + [source] = sources_from(titled) + + assert source.title == "Immich 2.1 released" + assert source.snippet == "" + + +# ── The prompt ──────────────────────────────────────────────────────── + +class TestThePromptShowsItsEvidence: + def test_every_source_appears_with_its_number_and_url(self, results): + sources = sources_from(results, limit=4) + prompt = build_prompt("Which is better for a family?", sources) + + for source in sources: + assert f"[{source.n}]" in prompt + assert source.url in prompt + if source.snippet: + assert source.snippet in prompt + + def test_the_question_is_present(self, results): + prompt = build_prompt("Which handles RAW files?", sources_from(results)) + assert "Which handles RAW files?" in prompt + + def test_the_question_comes_last(self, results): + """A local model reading a long block of snippets attends better + to what came last, and the instructions are what it needs first.""" + question = "Which handles RAW files?" + prompt = build_prompt(question, sources_from(results)) + + assert prompt.rstrip().endswith(question) + + def test_the_question_is_stripped(self, results): + prompt = build_prompt(" spaced out ", sources_from(results)) + assert prompt.rstrip().endswith("Question: spaced out") + + +class TestThePromptLicensesRefusal: + """The load-bearing instruction. If a prompt rewrite drops it, the + command starts inventing answers that look correct.""" + + def test_not_knowing_is_named_as_a_valid_answer(self, results): + prompt = build_prompt("anything", sources_from(results)) + lowered = prompt.lower() + + assert "do not contain the answer" in lowered + assert "correct and useful response" in lowered + + def test_outside_knowledge_is_forbidden(self, results): + prompt = build_prompt("anything", sources_from(results)) + assert "own knowledge" in prompt.lower() + + def test_citing_is_by_number_not_url(self, results): + """A model asked to cite URLs writes plausible ones from memory. + Numbers map back to a list we printed ourselves.""" + prompt = build_prompt("anything", sources_from(results)) + assert "by number" in prompt.lower() + + +# ── Output ──────────────────────────────────────────────────────────── + +class TestSourcesArePrintedEitherWay: + def test_sources_render_with_number_title_and_url(self): + rendered = render_sources([ + Source(1, "Immich vs PhotoPrism", "https://e.com/a", "snippet"), + ]) + + assert "[1]" in rendered + assert "Immich vs PhotoPrism" in rendered + assert "https://e.com/a" in rendered + + def test_a_source_with_no_title_falls_back_to_its_url(self): + rendered = render_sources([Source(1, "", "https://e.com/a", "")]) + assert "https://e.com/a" in rendered + + def test_real_results_all_render(self, results): + sources = sources_from(results) + rendered = render_sources(sources) + + for source in sources: + assert source.url in rendered + + +class TestThePromptGuardsAgainstMislabelledFigures: + """A number with the wrong noun on it is worse than no number. + + The case that produced these rules: asked how many tonnes of meat + Germany consumes, the sources give 6.37 Mt *Verbrauch* (which counts + losses, industrial use and pet food) and 4.44 Mt *Verzehr* (what + people actually eat). Those are different measures for different + years, and an answer that picks one and calls it the other is + confidently wrong while looking well sourced. + """ + + def test_figures_must_carry_the_source_term_and_period(self, results): + prompt = build_prompt("how many tonnes?", sources_from(results)) + lowered = prompt.lower() + + assert "source's own term" in lowered + assert "never relabel" in lowered + assert "period" in lowered + + def test_two_measures_must_both_be_given(self, results): + prompt = build_prompt("how many tonnes?", sources_from(results)) + assert "two different things" in prompt.lower() + + def test_the_answer_follows_the_question_language(self, results): + """A German question got a German answer before this was pinned, + but by luck: the instructions are English throughout.""" + prompt = build_prompt("Wie viel?", sources_from(results)) + assert "language the question was asked in" in prompt.lower() + + +class TestTheModelIsToldTheDate: + """Search results are full of undated figures. Telling the model the + date beats the earlier approach of forbidding it to discuss recency, + which left it unable to say which of two years was the later one.""" + + def test_the_date_is_in_the_prompt(self, results): + import datetime as dt + + prompt = build_prompt("anything", sources_from(results), today=dt.date(2026, 9, 16)) + assert "2026-09-16" in prompt + + def test_the_date_is_injected_not_read_inside(self, results): + """Passed in so the prompt is a pure function of its inputs and + these tests do not change meaning tomorrow.""" + import datetime as dt + + a = build_prompt("q", sources_from(results), today=dt.date(2020, 1, 1)) + b = build_prompt("q", sources_from(results), today=dt.date(2026, 9, 16)) + assert a != b + assert "2020-01-01" in a diff --git a/tests/framework/test_web_fetch.py b/tests/framework/test_web_fetch.py index cac8df7d..8342e31b 100644 --- a/tests/framework/test_web_fetch.py +++ b/tests/framework/test_web_fetch.py @@ -19,7 +19,9 @@ from __future__ import annotations -from stack.web.fetch import Response, fetch_url +import pytest + +from stack.web.fetch import ExtractorUnavailable, Response, extract_body, fetch_url def serving(html: str, *, url: str = "https://example.com/article", @@ -296,3 +298,56 @@ async def test_an_ordinary_shell_page_is_declined(self): assert not outcome.ok assert outcome.verdict.name == "empty" + + +class TestAMissingExtractorIsNotAnEmptyPage: + """The bug this class exists for shipped, and hid in plain sight. + + `extract_body` used to return None both when trafilatura was absent + and when it found no article. From the gate's side those are + indistinguishable, so it reported "empty — the page yielded nothing" + for a 540 KB page it had never actually read. + + That was the state of `stack web fetch` on the host, where + trafilatura is not installed. It looked healthy because every URL + demonstrated happened to be answered by tier 0 or tier 1, neither of + which needs an extractor. A broken install must not be able to + impersonate a verdict about somebody's web page. + """ + + def test_a_missing_extractor_raises_rather_than_returning_none(self, monkeypatch): + import builtins + + real_import = builtins.__import__ + + def _no_trafilatura(name, *args, **kwargs): + if name == "trafilatura": + raise ImportError("no module named trafilatura") + return real_import(name, *args, **kwargs) + + monkeypatch.setattr(builtins, "__import__", _no_trafilatura) + + with pytest.raises(ExtractorUnavailable): + extract_body("

Real content here.

") + + def test_the_error_names_the_missing_dependency(self, monkeypatch): + """Whoever reads this has to know what to install.""" + import builtins + + real_import = builtins.__import__ + + def _no_trafilatura(name, *args, **kwargs): + if name == "trafilatura": + raise ImportError("no module named trafilatura") + return real_import(name, *args, **kwargs) + + monkeypatch.setattr(builtins, "__import__", _no_trafilatura) + + with pytest.raises(ExtractorUnavailable, match="trafilatura"): + extract_body("

Real content.

") + + def test_a_genuinely_empty_page_still_returns_none(self): + """The other half of the distinction: no article is not an + error, it is an answer, and the gate should still call it + `empty`.""" + assert extract_body("") is None diff --git a/tests/framework/test_web_structured.py b/tests/framework/test_web_structured.py index 7a39b834..c2903b03 100644 --- a/tests/framework/test_web_structured.py +++ b/tests/framework/test_web_structured.py @@ -190,3 +190,105 @@ def test_a_page_without_json_ld_falls_through(self): def test_empty_input_is_handled(self): assert read_structured("") is None + + +class TestListingPagesAreFiledAsLists: + """The other half of declining a listing: file the list itself. + + A chefkoch recipe search yielded 106 characters to extraction, which + the gate called `empty`. True, and useless: the page carried forty + recipes with names and links, published as structured data for + exactly this purpose. A browser was measured on the same page and + returned 34,000 characters of navigation and star ratings, which is + worse than the list the site already hands us. + """ + + def test_a_real_listing_page_yields_its_entries(self, web_fixture): + content = read_structured(web_fixture("listing-itemlist")) + + assert content is not None + assert "40 entries on this page" in content.text + assert "Rote Linsen mit Minzjoghurt" in content.text + + def test_every_entry_carries_a_link(self, web_fixture): + """A list of names the family cannot open is a worse entry than + no entry, so an item without a URL is dropped rather than + listed.""" + content = read_structured(web_fixture("listing-itemlist")) + + assert content is not None + bullets = [ln for ln in content.text.splitlines() if ln.startswith("- ")] + assert len(bullets) == 40 + assert all("](http" in ln for ln in bullets) + + def test_the_page_title_becomes_the_entry_title(self, web_fixture): + """An `ItemList` has no name of its own. Without a fallback the + classifier is handed a titleless capture and invents one.""" + content = read_structured(web_fixture("listing-itemlist")) + + assert content is not None + assert "Minzjoghurt" in (content.title_hint or "") + + +class TestAListingNeverOutranksTheRealSubject: + """Ordering is the correctness argument for the whole dispatch. + + Recipe and article pages routinely carry a breadcrumb trail as + structured data too. Walking objects in document order and taking + the first that renders would file the breadcrumb and drop the + recipe, so each reader gets the whole document before the next one + is tried. + """ + + def test_a_recipe_page_is_still_read_as_a_recipe(self, web_fixture): + content = read_structured(web_fixture("recipe-jsonld")) + + assert content is not None + assert "## Ingredients" in content.text + assert "entries on this page" not in content.text + + def test_a_recipe_wins_even_when_the_list_comes_first(self): + """Document order deliberately puts the list ahead of the + recipe, which is the arrangement that used to lose.""" + mixed = """ + + + + """ + content = read_structured(mixed) + + assert content is not None + assert content.title_hint == "Apfelkuchen" + assert "## Ingredients" in content.text + + def test_a_short_list_is_declined_as_a_breadcrumb(self): + """Sites mislabel breadcrumb trails as `ItemList`, and a + three-crumb trail is indistinguishable from a three-item list + except by size.""" + crumbs = """ + + """ + assert read_structured(crumbs) is None + + def test_a_list_of_bare_names_is_declined(self): + assert read_structured(""" + + """) is None diff --git a/uv.lock b/uv.lock index fafbbfe4..565af12f 100644 --- a/uv.lock +++ b/uv.lock @@ -199,91 +199,149 @@ wheels = [ [[package]] name = "charset-normalizer" -version = "3.4.7" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/e7/a1/67fe25fac3c7642725500a3f6cfe5821ad557c3abb11c9d20d12c7008d3e/charset_normalizer-3.4.7.tar.gz", hash = "sha256:ae89db9e5f98a11a4bf50407d4363e7b09b31e55bc117b4f7d80aab97ba009e5", size = 144271, upload-time = "2026-04-02T09:28:39.342Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/c2/d7/b5b7020a0565c2e9fa8c09f4b5fa6232feb326b8c20081ccded47ea368fd/charset_normalizer-3.4.7-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:7641bb8895e77f921102f72833904dcd9901df5d6d72a2ab8f31d04b7e51e4e7", size = 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