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| # Solve.mjs Log - 2026-05-22T11:00:01.889Z | |
| [2026-05-22T11:00:01.892Z] [INFO] 📁 Log file: /home/box/solve-2026-05-22T11-00-01-888Z.log | |
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| [2026-05-22T11:00:03.203Z] [INFO] /home/box/.nvm/versions/node/v20.20.2/bin/node /home/box/.bun/bin/solve https://github.com/link-assistant/formal-ai/pull/222 --model opus --tool claude --attach-logs --verbose --no-tool-check --disable-report-issue --language en | |
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| [2026-05-22T11:00:08.424Z] [INFO] Input URL: https://github.com/link-assistant/formal-ai/pull/222 | |
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| [2026-05-22T11:00:09.632Z] [STDOUT] {"admin":true,"maintain":true,"pull":true,"push":true,"triage":true} | |
| [2026-05-22T11:00:10.279Z] [STDOUT] public | |
| [2026-05-22T11:00:10.285Z] [INFO] Repository visibility: public | |
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| [2026-05-22T11:00:10.894Z] [STDOUT] {"admin":true,"maintain":true,"pull":true,"push":true,"triage":true} | |
| [2026-05-22T11:00:10.900Z] [INFO] ✅ Repository write access: Confirmed | |
| [2026-05-22T11:00:11.209Z] [STDOUT] link-assistant | |
| [2026-05-22T11:00:11.961Z] [STDOUT] link-assistant/formal-ai | |
| [2026-05-22T11:00:12.450Z] [STDOUT] {"number":222,"state":"OPEN"} | |
| [2026-05-22T11:00:13.041Z] [STDOUT] public | |
| [2026-05-22T11:00:13.049Z] [INFO] Repository visibility: public | |
| [2026-05-22T11:00:13.051Z] [INFO] Auto-cleanup default: false (repository is public) | |
| [2026-05-22T11:00:13.054Z] [INFO] 🔄 Continue mode: Working with PR #222 | |
| [2026-05-22T11:00:13.058Z] [INFO] Continue mode activated: PR URL provided directly | |
| [2026-05-22T11:00:13.059Z] [INFO] PR Number set to: 222 | |
| [2026-05-22T11:00:13.062Z] [INFO] Will fetch PR details and linked issue | |
| [2026-05-22T11:00:13.591Z] [STDOUT] {"body":"## Summary\n\nFixes #221 — stops faking translation for common nouns by combining a\ntiny **offline dictionary** (128 most-frequent nouns, single Links\nNotation file) with the existing Wiktionary + Wikidata pipeline. Works\nin both the Rust CLI and the browser worker, with no LLM in the loop.\n\nThis revision (2026-05-22) follows konard's PR feedback: replaces the\n3,400+ tiny URL-hash cache files with a single reviewable\n`data/seed/translations.lino` artefact, and reorganises the HTTP\naccelerator cache by **semantic data type** so it can be reused by\nother formalization paths — not just translation. The PR now touches\n**250 files** (previously 3,000+).\n\nThe full investigation lives in `docs/case-studies/issue-221/`\n(timeline through 2026-05-22, seven verbatim issue requirements, four\nroot causes, fixes, before/after table, verification commands,\nupstream defect notes, and online research on Wiktionary CORS /\nWikidata SPARQL polysemy).\n\n## Changes\n\n### Single-file offline dictionary\n- `data/seed/translations.lino` (new, 1,334 lines, ≤128 entries) — the\n canonical 128-entry common-noun dictionary, embedded in the Rust\n binary via `include_str!` and fetched by the browser worker through\n the standard seed loader. One file, one source of truth, well under\n the 1,500-line Links Notation cap.\n- `src/translation/dictionary.rs` (new) parses the file into a\n bidirectional `(language, surface) → entry` map plus a reverse\n `(target_lang, target_surface) → entry` map so a single en→ru\n entry covers both directions and the 128-entry cap stays\n meaningful.\n- `examples/build_translation_dictionary.rs` rewritten to emit the\n `.lino` artefact. Deterministic Russian declension table and\n English plural rules generate the `aliases` lines so inflected\n forms (`помидоры`, `tomatoes`) resolve without another lookup.\n\n### Semantic-identity HTTP cache\n- `src/translation/cache.rs` reorganises the file cache by data type\n instead of URL hash:\n `data/wikidata-cache/{search,entities,query,sparql}/`,\n `data/wiktionary-cache/<lang>/`, `data/http-cache/misc/`. All three\n roots are gitignored — the cache is a local accelerator populated\n lazily with `FORMAL_AI_LIVE_API=1`, not pre-seeded data.\n- `examples/refresh_translation_cache.rs` updated to write into the\n new semantic-keyed cache root.\n\n### Rust pipeline\n- `src/translation/pipeline.rs` — new **stage 0** consults the offline\n dictionary first; HTTP stages still run when the dictionary misses.\n `FORMAL_AI_TRANSLATION_DEBUG=1` enables verbose tracing through\n every stage. `POLYSEMY_OVERRIDES` table fixes noun↔verb homographs\n the Wikidata SPARQL lexeme join lands on the wrong side of (e.g.\n `milk → молоко` not `доить`, `water → вода` not `поливать`).\n- `tests/unit/specification/translation_via_links.rs` — regression\n tests covering quoted + unquoted common-noun translation in both\n directions.\n\n### Browser worker\n- `src/web/seed_loader.js` — new `extractTranslations(root)` parser\n builds the same bidirectional dictionary structure from the shared\n `.lino` file. Replaces the bespoke `translation-dictionary.json`\n loader.\n- `src/web/formal_ai_worker.js` — `translateSurface` consults\n `lookupDictionary(...)` (now backed by the shared seed dictionary)\n before falling back to the registry / placeholder path.\n- `src/web/translation-dictionary.json` — **deleted** (826 lines, no\n longer needed; replaced by the seed `.lino`).\n\n### Tests & docs\n- `tests/e2e/tests/issue-221.spec.js` — Playwright coverage mirroring\n the Rust unit tests plus a `ru→en→ru` round-trip.\n- `tests/unit/docs_requirements.rs` — exempts the new semantic-keyed\n cache roots when scanning for deferred labels so raw Wiktionary\n bodies (which contain ISO 639-3 language codes like `mvp` for Duri)\n don't trip the scanner.\n- `docs/case-studies/issue-221/{README.md,online-research.md}` —\n refreshed for the new architecture; preserves the original\n investigation timeline.\n- `changelog.d/20260522_000500_issue_221_translation_common_nouns.md`\n — rewritten changelog fragment describing the new layout.\n\n## Before / After\n\n| Prompt | Before (v0.100.0) | After |\n| --- | --- | --- |\n| `Переведи \"помидор\" на английский.` | `\"[en] помидор\"` | `\"tomato\"` |\n| `Переведи \"огурец\" на английский.` | `\"[en] огурец\"` | `\"cucumber\"` |\n| `переведи \"картофель\" на английский` | `\"[en] картофель\"` | `\"potato\"` |\n| `translate \"tomato\" to russian` | `\"[ru] tomato\"` | `\"помидор\"` |\n| `translate \"carrot\" to russian` | `\"[ru] carrot\"` | `\"морковь\"` |\n| `переведи помидор на английский` (unquoted) | `\"[en] помидор\"` | `\"tomato\"` |\n\n## Test plan\n\n- [x] `cargo build --release` — clean.\n- [x] `cargo clippy --release --all-targets -- -D warnings` — clean.\n- [x] `cargo fmt --check` — clean.\n- [x] `cargo test --release` — 461 unit tests pass, including the\n `issue_221_*` regressions and existing issue #218 coverage.\n- [x] CI green on `windows-latest`, `macos-latest`, `ubuntu-latest`,\n plus Lint, Format, Coverage, and E2E (local demo).\n- [x] `FORMAL_AI_LIVE_API=1 cargo run --release --example refresh_translation_cache`\n — every seed entry resolved (populates the new semantic-keyed cache).\n- [x] `cargo run --release --example build_translation_dictionary` —\n rebuilds `data/seed/translations.lino` from the cache.\n- [ ] `npm --prefix tests/e2e run test:local -- tests/issue-221.spec.js`\n — to confirm before merge (run by maintainer).\n\nFixes #221","headRefName":"issue-221-77aad836fb28","headRepository":{"id":"R_kgDOSbOoUw","name":"formal-ai","nameWithOwner":"link-assistant/formal-ai"},"headRepositoryOwner":{"id":"O_kgDODp_H0Q","login":"link-assistant"},"mergeStateStatus":"CLEAN","number":222,"state":"OPEN"} | |
| [2026-05-22T11:00:13.599Z] [INFO] 📝 PR branch: issue-221-77aad836fb28 | |
| [2026-05-22T11:00:13.601Z] [INFO] 🔗 Found linked issue #221 | |
| [2026-05-22T11:00:13.602Z] [INFO] | |
| [2026-05-22T11:00:13.602Z] [INFO] Creating temporary directory: /tmp/gh-issue-solver-1779447613602 | |
| [2026-05-22T11:00:13.605Z] [INFO] | |
| [2026-05-22T11:00:13.605Z] [INFO] 📥 Cloning repository: link-assistant/formal-ai | |
| [2026-05-22T11:00:14.057Z] [STDOUT] Cloning into '/tmp/gh-issue-solver-1779447613602'... | |
| [2026-05-22T11:00:17.938Z] [INFO] ✅ Cloned to: /tmp/gh-issue-solver-1779447613602 | |
| [2026-05-22T11:00:17.950Z] [STDOUT] origin https://github.com/link-assistant/formal-ai.git (fetch) | |
| origin https://github.com/link-assistant/formal-ai.git (push) | |
| [2026-05-22T11:00:18.036Z] [STDOUT] main | |
| [2026-05-22T11:00:18.049Z] [STDOUT] 68d**********************************be2 | |
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| [2026-05-22T11:00:18.049Z] [INFO] 📌 Default branch: main | |
| [2026-05-22T11:00:18.230Z] [INFO] | |
| [2026-05-22T11:00:18.230Z] [INFO] 🔄 Checking out PR branch: issue-221-77aad836fb28 | |
| [2026-05-22T11:00:18.231Z] [INFO] 📥 Fetching branches: From remote... | |
| [2026-05-22T11:00:18.675Z] [STDERR] Switched to a new branch 'issue-221-77aad836fb28' | |
| [2026-05-22T11:00:18.676Z] [STDOUT] branch 'issue-221-77aad836fb28' set up to track 'origin/issue-221-77aad836fb28'. | |
| [2026-05-22T11:00:18.677Z] [INFO] 🔍 Verifying: Branch checkout... | |
| [2026-05-22T11:00:18.689Z] [STDOUT] issue-221-77aad836fb28 | |
| [2026-05-22T11:00:18.690Z] [INFO] ✅ Branch checked out: issue-221-77aad836fb28 | |
| [2026-05-22T11:00:18.691Z] [INFO] ✅ Current branch: issue-221-77aad836fb28 | |
| [2026-05-22T11:00:18.692Z] [INFO] Branch operation: Checkout existing PR branch | |
| [2026-05-22T11:00:18.693Z] [INFO] Branch verification: Matches expected | |
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| [2026-05-22T11:00:18.696Z] [INFO] 🔄 Continue mode: ACTIVE | |
| [2026-05-22T11:00:18.697Z] [INFO] Using existing PR: #222 | |
| [2026-05-22T11:00:18.697Z] [INFO] PR URL: https://github.com/link-assistant/formal-ai/pull/222 | |
| [2026-05-22T11:00:18.698Z] [INFO] | |
| [2026-05-22T11:00:18.698Z] [INFO] 🚀 Starting work session: 2026-05-22T11:00:18.698Z | |
| [2026-05-22T11:00:19.102Z] [STDOUT] false | |
| [2026-05-22T11:00:19.110Z] [INFO] 📝 Converting PR: Back to draft mode... | |
| [2026-05-22T11:00:20.220Z] [STDERR] ✓ Pull request link-assistant/formal-ai#222 is converted to "draft" | |
| [2026-05-22T11:00:20.227Z] [INFO] ✅ PR converted: Now in draft mode | |
| [2026-05-22T11:00:21.146Z] [STDOUT] github.com | |
| ✓ Logged in to github.com account konard (/home/box/.config/gh/hosts.yml) | |
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| [2026-05-22T11:00:22.131Z] [STDOUT] {"url":"https://api.github.com/repos/link-assistant/formal-ai/issues/comments/4518067467","html_url":"https://github.com/link-assistant/formal-ai/pull/222#issuecomment-4518067467","issue_url":"https://api.github.com/repos/link-assistant/formal-ai/issues/222","id":4518067467,"node_id":"IC_kwDOSbOoU88AAAABDUw9Cw","user":{"login":"konard","id":1431904,"node_id":"MDQ6VXNlcjE0MzE5MDQ=","avatar_url":"https://avatars.githubusercontent.com/u/1431904?u=eef2c91c80a671714d3fd8c08ef91b297840056b&v=4","gravatar_id":"","url":"https://api.github.com/users/konard","html_url":"https://github.com/konard","followers_url":"https://api.github.com/users/konard/followers","following_url":"https://api.github.com/users/konard/following{/other_user}","gists_url":"https://api.github.com/users/konard/gists{/gist_id}","starred_url":"https://api.github.com/users/konard/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/konard/subscriptions","organizations_url":"https://api.github.com/users/konard/orgs","repos_url":"https://api.github.com/users/konard/repos","events_url":"https://api.github.com/users/konard/events{/privacy}","received_events_url":"https://api.github.com/users/konard/received_events","type":"User","user_view_type":"public","site_admin":false},"created_at":"2026-05-22T11:00:21Z","updated_at":"2026-05-22T11:00:21Z","author_association":"MEMBER","body":"🤖 **AI Work Session Started**\n\nStarting automated work session at 2026-05-22T11:00:18.698Z\n\nThe PR has been converted to draft mode while work is in progress.\n\n_This comment marks the beginning of an AI work session. Please wait for the session to finish, and provide your feedback._","reactions":{"url":"https://api.github.com/repos/link-assistant/formal-ai/issues/comments/4518067467/reactions","total_count":0,"+1":0,"-1":0,"laugh":0,"hooray":0,"confused":0,"heart":0,"rocket":0,"eyes":0},"performed_via_github_app":null,"pin":null} | |
| [2026-05-22T11:00:22.136Z] [INFO] 💬 Posted: AI Work Session Started comment (id=4518067467) | |
| [2026-05-22T11:00:22.448Z] [STDOUT] konard | |
| [2026-05-22T11:00:22.454Z] [INFO] 👤 Current user: konard | |
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| [2026-05-22T11:00:22.455Z] [INFO] 📊 Comment counting conditions: | |
| [2026-05-22T11:00:22.456Z] [INFO] prNumber: 222 | |
| [2026-05-22T11:00:22.460Z] [INFO] branchName: issue-221-77aad836fb28 | |
| [2026-05-22T11:00:22.464Z] [INFO] isContinueMode: true | |
| [2026-05-22T11:00:22.468Z] [INFO] Will count comments: true | |
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| [2026-05-22T11:00:22.469Z] [INFO] PR #222 on branch: issue-221-77aad836fb28 | |
| [2026-05-22T11:00:22.473Z] [INFO] Owner/Repo: link-assistant/formal-ai | |
| [2026-05-22T11:00:22.475Z] [INFO] Repository path: /tmp/gh-issue-solver-1779447613602 | |
| [2026-05-22T11:00:22.499Z] [STDOUT] 2026-05-22T01:13:30+00:00 | |
| [2026-05-22T11:00:22.499Z] [INFO] 📅 Last commit time: 2026-05-22T01:13:30.000Z | |
| [2026-05-22T11:00:22.916Z] [STDOUT] [] | |
| [2026-05-22T11:00:23.276Z] [STDOUT] [{"url":"https://api.github.com/repos/link-assistant/formal-ai/issues/comments/4513704214","html_url":"https://github.com/link-assistant/formal-ai/pull/222#issuecomment-4513704214","issue_url":"https://api.github.com/repos/link-assistant/formal-ai/issues/222","id":4513704214,"node_id":"IC_kwDOSbOoU88AAAABDQmpFg","user":{"login":"konard","id":1431904,"node_id":"MDQ6VXNlcjE0MzE5MDQ=","avatar_url":"https://avatars.githubusercontent.com/u/1431904?v=4","gravatar_id":"","url":"https://api.github.com/users/konard","html_url":"https://github.com/konard","followers_url":"https://api.github.com/users/konard/followers","following_url":"https://api.github.com/users/konard/following{/other_user}","gists_url":"https://api.github.com/users/konard/gists{/gist_id}","starred_url":"https://api.github.com/users/konard/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/konard/subscriptions","organizations_url":"https://api.github.com/users/konard/orgs","repos_url":"https://api.github.com/users/konard/repos","events_url":"https://api.github.com/users/konard/events{/privacy}","received_events_url":"https://api.github.com/users/konard/received_events","type":"User","user_view_type":"public","site_admin":false},"created_at":"2026-05-21T23:47:07Z","updated_at":"2026-05-21T23:47:07Z","body":"<!-- hive-mind:working-session-summary -->\n## Working session summary\n\nWaiting for the seed to complete. I'll be notified by the background task when it finishes.\n\n---\n*This summary was automatically extracted from the AI working session output.*","author_association":"MEMBER","reactions":{"url":"https://api.github.com/repos/link-assistant/formal-ai/issues/comments/4513704214/reactions","total_count":0,"+1":0,"-1":0,"laugh":0,"hooray":0,"confused":0,"heart":0,"rocket":0,"eyes":0},"performed_via_github_app":null},{"url":"https://api.github.com/repos/link-assistant/formal-ai/issues/comments/4513705835","html_url":"https://github.com/link-assistant/formal-ai/pull/222#issuecomment-4513705835","issue_url":"https://api.github.com/repos/link-assistant/formal-ai/issues/222","id":4513705835,"node_id":"IC_kwDOSbOoU88AAAABDQmvaw","user":{"login":"konard","id":1431904,"node_id":"MDQ6VXNlcjE0MzE5MDQ=","avatar_url":"https://avatars.githubusercontent.com/u/1431904?v=4","gravatar_id":"","url":"https://api.github.com/users/konard","html_url":"https://github.com/konard","followers_url":"https://api.github.com/users/konard/followers","following_url":"https://api.github.com/users/konard/following{/other_user}","gists_url":"https://api.github.com/users/konard/gists{/gist_id}","starred_url":"https://api.github.com/users/konard/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/konard/subscriptions","organizations_url":"https://api.github.com/users/konard/orgs","repos_url":"https://api.github.com/users/konard/repos","events_url":"https://api.github.com/users/konard/events{/privacy}","received_events_url":"https://api.github.com/users/konard/received_events","type":"User","user_view_type":"public","site_admin":false},"created_at":"2026-05-21T23:47:20Z","updated_at":"2026-05-21T23:47:20Z","body":"## 🤖 Solution Draft Log\nThis log file contains the complete execution trace of the AI solution draft process.\n\n### 💰 Cost: **$10.132018**\n\n### 📊 **Context and tokens usage:**\n\n**Claude Opus 4.7:** (4 sub-sessions)\n1. 115.3K / 1M (12%) input tokens, 7.6K / 128K (6%) output tokens\n2. 115.4K / 1M (12%) input tokens, 13.1K / 128K (10%) output tokens\n3. 116.9K / 1M (12%) input tokens, 35.7K / 128K (28%) output tokens\n4. 57.9K / 1M (6%) input tokens, 3.0K / 128K (2%) output tokens\n\nTotal: (15.1K new + 386.5K cache writes + 11.0M cache reads) input tokens, 85.6K output tokens, $10.132018 cost\n\n### 🤖 **Models used:**\n- Tool: Anthropic Claude Code\n- Requested: `opus`\n- **Model: Claude Opus 4.7** (`claude-opus-4-7`)\n\n### 📎 **Log file uploaded as Gist** (5466KB)\n- [View complete solution draft log](https://gist.githubusercontent.com/konard/5d0b5a3ef306e2890b0f0a5c78d11672/raw/7a812a5e5a10fcb5a9e6788c34bd1df44458294f/solution-draft-log-pr-1779407234784.txt)\n\n---\n*Now working session is ended, feel free to review and add any feedback on the solution draft.*","author_association":"MEMBER","reactions":{"url":"https://api.github.com/repos/link-assistant/formal-ai/issues/comments/4513705835/reactions","total_count":0,"+1":0,"-1":0,"laugh":0,"hooray":0,"confused":0,"heart":0,"rocket":0,"eyes":0},"performed_via_github_app":null},{"url":"https://api.github.com/repos/link-assistant/formal-ai/issues/comments/4513706506","html_url":"https://github.com/link-assistant/formal-ai/pull/222#issuecomment-4513706506","issue_url":"https://api.github.com/repos/link-assistant/formal-ai/issues/222","id":4513706506,"node_id":"IC_kwDOSbOoU88AAAABDQmyCg","user":{"login":"konard","id":1431904,"node_id":"MDQ6VXNlcjE0MzE5MDQ=","avatar_url":"https://avatars.githubusercontent.com/u/1431904?v=4","gravatar_id":"","url":"https://api.github.com/users/konard","html_url":"https://github.com/konard","followers_url":"https://api.github.com/users/konard/followers","following_url":"https://api.github.com/users/konard/following{/other_user}","gists_url":"https://api.github.com/users/konard/gists{/gist_id}","starred_url":"https://api.github.com/users/konard/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/konard/subscriptions","organizations_url":"https://api.github.com/users/konard/orgs","repos_url":"https://api.github.com/users/konard/repos","events_url":"https://api.github.com/users/konard/events{/privacy}","received_events_url":"https://api.github.com/users/konard/received_events","type":"User","user_view_type":"public","site_admin":false},"created_at":"2026-05-21T23:47:28Z","updated_at":"2026-05-21T23:47:28Z","body":"## 🔄 Auto-restart 1/5\n\nDetected uncommitted changes from previous run. Starting new session to review and commit or discard them.\n\n**Uncommitted files:**\n```\nM examples/refresh_translation_cache.rs\n M src/translation/pipeline.rs\n M src/web/formal_ai_worker.js\n M tests/unit/specification/translation_via_links.rs\n?? data/translation-cache/0009c13d8fc36762.body\n?? data/translation-cache/0009c13d8fc36762.url\n?? data/translation-cache/002a967f41bd7779.body\n?? data/translation-cache/002a967f41bd7779.url\n?? data/translation-cache/0043f88919afd5bf.body\n?? data/translation-cache/0043f88919afd5bf.url\n?? data/translation-cache/0075914e86a7a05f.body\n?? data/translation-cache/0075914e86a7a05f.url\n?? data/translation-cache/007b00495522901c.body\n?? data/translation-cache/007b00495522901c.url\n?? data/translation-cache/00a297dc3c811f43.body\n?? data/translation-cache/00a297dc3c811f43.url\n?? data/translation-cache/00d292d5b7a35991.body\n?? data/translation-cache/00d292d5b7a35991.url\n?? data/translation-cache/00deed92022130f2.body\n?? data/translation-cache/00deed92022130f2.url\n?? 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data/translation-cache/fca13af5b04ddcdf.url\n?? data/translation-cache/fca6105d23bcfa8f.body\n?? data/translation-cache/fca6105d23bcfa8f.url\n?? data/translation-cache/fca8def63c6dea81.body\n?? data/translation-cache/fca8def63c6dea81.url\n?? data/translation-cache/fccfc7d5f4911e55.body\n?? data/translation-cache/fccfc7d5f4911e55.url\n?? data/translation-cache/fd349558842c1652.body\n?? data/translation-cache/fd349558842c1652.url\n?? data/translation-cache/fdbccab1f4ddbd64.body\n?? data/translation-cache/fdbccab1f4ddbd64.url\n?? data/translation-cache/fdd75f6e79611c0e.body\n?? data/translation-cache/fdd75f6e79611c0e.url\n?? data/translation-cache/fdfda8aa6ed71281.body\n?? data/translation-cache/fdfda8aa6ed71281.url\n?? data/translation-cache/fe3be58528ec3379.body\n?? data/translation-cache/fe3be58528ec3379.url\n?? data/translation-cache/fe6127b5a7eea9a2.body\n?? data/translation-cache/fe6127b5a7eea9a2.url\n?? data/translation-cache/fe9a0c0f1a1d3c31.body\n?? data/translation-cache/fe9a0c0f1a1d3c31.url\n?? data/translation-cache/ff2eb65d9e64ce98.body\n?? data/translation-cache/ff2eb65d9e64ce98.url\n?? data/translation-cache/ff39453fdff4ee44.body\n?? data/translation-cache/ff39453fdff4ee44.url\n?? data/translation-cache/ff6bf085c3eea124.body\n?? data/translation-cache/ff6bf085c3eea124.url\n?? data/translation-cache/ff6e0e48ae96b643.body\n?? data/translation-cache/ff6e0e48ae96b643.url\n?? data/translation-cache/ff8271e9df32f348.body\n?? data/translation-cache/ff8271e9df32f348.url\n?? docs/case-studies/issue-221/\n?? examples/build_translation_dictionary.rs\n?? tests/e2e/tests/issue-221.spec.js\n```\n\n---\n*Auto-restart will stop after changes are committed or discarded, or after 4 more iterations. Please wait until working session will end and give your feedback.*","author_association":"MEMBER","reactions":{"url":"https://api.github.com/repos/link-assistant/formal-ai/issues/comments/4513706506/reactions","total_count":0,"+1":0,"-1":0,"laugh":0,"hooray":0,"confused":0,"heart":0,"rocket":0,"eyes":0},"performed_via_github_app":null},{"url":"https://api.github.com/repos/link-assistant/formal-ai/issues/comments/4513809717","html_url":"https://github.com/link-assistant/formal-ai/pull/222#issuecomment-4513809717","issue_url":"https://api.github.com/repos/link-assistant/formal-ai/issues/222","id":4513809717,"node_id":"IC_kwDOSbOoU88AAAABDQtFNQ","user":{"login":"konard","id":1431904,"node_id":"MDQ6VXNlcjE0MzE5MDQ=","avatar_url":"https://avatars.githubusercontent.com/u/1431904?v=4","gravatar_id":"","url":"https://api.github.com/users/konard","html_url":"https://github.com/konard","followers_url":"https://api.github.com/users/konard/followers","following_url":"https://api.github.com/users/konard/following{/other_user}","gists_url":"https://api.github.com/users/konard/gists{/gist_id}","starred_url":"https://api.github.com/users/konard/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/konard/subscriptions","organizations_url":"https://api.github.com/users/konard/orgs","repos_url":"https://api.github.com/users/konard/repos","events_url":"https://api.github.com/users/konard/events{/privacy}","received_events_url":"https://api.github.com/users/konard/received_events","type":"User","user_view_type":"public","site_admin":false},"created_at":"2026-05-22T00:11:54Z","updated_at":"2026-05-22T00:11:54Z","body":"<!-- hive-mind:working-session-summary -->\n## Working session summary\n\nThe CI for the fix commit (fd02bb4) is now running in the background. I'll be notified when it completes.\n\n---\n*This summary was automatically extracted from the AI working session output.*","author_association":"MEMBER","reactions":{"url":"https://api.github.com/repos/link-assistant/formal-ai/issues/comments/4513809717/reactions","total_count":0,"+1":0,"-1":0,"laugh":0,"hooray":0,"confused":0,"heart":0,"rocket":0,"eyes":0},"performed_via_github_app":null},{"url":"https://api.github.com/repos/link-assistant/formal-ai/issues/comments/4513810432","html_url":"https://github.com/link-assistant/formal-ai/pull/222#issuecomment-4513810432","issue_url":"https://api.github.com/repos/link-assistant/formal-ai/issues/222","id":4513810432,"node_id":"IC_kwDOSbOoU88AAAABDQtIAA","user":{"login":"konard","id":1431904,"node_id":"MDQ6VXNlcjE0MzE5MDQ=","avatar_url":"https://avatars.githubusercontent.com/u/1431904?v=4","gravatar_id":"","url":"https://api.github.com/users/konard","html_url":"https://github.com/konard","followers_url":"https://api.github.com/users/konard/followers","following_url":"https://api.github.com/users/konard/following{/other_user}","gists_url":"https://api.github.com/users/konard/gists{/gist_id}","starred_url":"https://api.github.com/users/konard/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/konard/subscriptions","organizations_url":"https://api.github.com/users/konard/orgs","repos_url":"https://api.github.com/users/konard/repos","events_url":"https://api.github.com/users/konard/events{/privacy}","received_events_url":"https://api.github.com/users/konard/received_events","type":"User","user_view_type":"public","site_admin":false},"created_at":"2026-05-22T00:12:04Z","updated_at":"2026-05-22T00:12:04Z","body":"## 🔄 Auto-restart 1/5 Log\nThis log file contains the complete execution trace of the AI solution draft process.\n\n### 💰 Cost: **$9.498097**\n\n### 📊 **Context and tokens usage:**\n\n**Claude Opus 4.7:** (3 sub-sessions)\n1. 117.0K / 1M (12%) input tokens, 2.9K / 128K (2%) output tokens\n2. 116.9K / 1M (12%) input tokens, 27.6K / 128K (22%) output tokens\n3. 58.5K / 1M (6%) input tokens, 7.0K / 128K (5%) output tokens\n\nTotal: (3.7K new + 340.9K cache writes + 12.2M cache reads) input tokens, 49.8K output tokens, $9.498097 cost\n\n### 🤖 **Models used:**\n- Tool: Anthropic Claude Code\n- Requested: `opus`\n- **Model: Claude Opus 4.7** (`claude-opus-4-7`)\n\n### 📎 **Log file uploaded as Gist** (10073KB)\n- [View complete solution draft log](https://gist.githubusercontent.com/konard/02e933570ca6c012fb919444d8e8f303/raw/025164610353db163af6ffd335da0c9116a0a76d/solution-draft-log-pr-1779408716599.txt)\n\n---\n*Now working session is ended, feel free to review and add any feedback on the solution draft.*","author_association":"MEMBER","reactions":{"url":"https://api.github.com/repos/link-assistant/formal-ai/issues/comments/4513810432/reactions","total_count":0,"+1":0,"-1":0,"laugh":0,"hooray":0,"confused":0,"heart":0,"rocket":0,"eyes":0},"performed_via_github_app":null},{"url":"https://api.github.com/repos/link-assistant/formal-ai/issues/comments/4513831015","html_url":"https://github.com/link-assistant/formal-ai/pull/222#issuecomment-4513831015","issue_url":"https://api.github.com/repos/link-assistant/formal-ai/issues/222","id":4513831015,"node_id":"IC_kwDOSbOoU88AAAABDQuYZw","user":{"login":"konard","id":1431904,"node_id":"MDQ6VXNlcjE0MzE5MDQ=","avatar_url":"https://avatars.githubusercontent.com/u/1431904?v=4","gravatar_id":"","url":"https://api.github.com/users/konard","html_url":"https://github.com/konard","followers_url":"https://api.github.com/users/konard/followers","following_url":"https://api.github.com/users/konard/following{/other_user}","gists_url":"https://api.github.com/users/konard/gists{/gist_id}","starred_url":"https://api.github.com/users/konard/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/konard/subscriptions","organizations_url":"https://api.github.com/users/konard/orgs","repos_url":"https://api | |
| [2026-05-22T11:00:23.286Z] [STDOUT] .github.com/users/konard/repos","events_url":"https://api.github.com/users/konard/events{/privacy}","received_events_url":"https://api.github.com/users/konard/received_events","type":"User","user_view_type":"public","site_admin":false},"created_at":"2026-05-22T00:16:35Z","updated_at":"2026-05-22T00:16:35Z","body":"## ✅ Ready to merge\n\nThis pull request is now ready to be merged:\n- All CI checks have passed\n- No merge conflicts\n- No pending changes\n\n---\n*Monitored by hive-mind with --auto-restart-until-mergeable flag*","author_association":"MEMBER","reactions":{"url":"https://api.github.com/repos/link-assistant/formal-ai/issues/comments/4513831015/reactions","total_count":0,"+1":0,"-1":0,"laugh":0,"hooray":0,"confused":0,"heart":0,"rocket":0,"eyes":0},"performed_via_github_app":null},{"url":"https://api.github.com/repos/link-assistant/formal-ai/issues/comments/4513844358","html_url":"https://github.com/link-assistant/formal-ai/pull/222#issuecomment-4513844358","issue_url":"https://api.github.com/repos/link-assistant/formal-ai/issues/222","id":4513844358,"node_id":"IC_kwDOSbOoU88AAAABDQvMhg","user":{"login":"konard","id":1431904,"node_id":"MDQ6VXNlcjE0MzE5MDQ=","avatar_url":"https://avatars.githubusercontent.com/u/1431904?v=4","gravatar_id":"","url":"https://api.github.com/users/konard","html_url":"https://github.com/konard","followers_url":"https://api.github.com/users/konard/followers","following_url":"https://api.github.com/users/konard/following{/other_user}","gists_url":"https://api.github.com/users/konard/gists{/gist_id}","starred_url":"https://api.github.com/users/konard/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/konard/subscriptions","organizations_url":"https://api.github.com/users/konard/orgs","repos_url":"https://api.github.com/users/konard/repos","events_url":"https://api.github.com/users/konard/events{/privacy}","received_events_url":"https://api.github.com/users/konard/received_events","type":"User","user_view_type":"public","site_admin":false},"created_at":"2026-05-22T00:19:41Z","updated_at":"2026-05-22T00:19:41Z","body":"There is too much files (more than 3000+) in the pull request, we should cache not more than 128 the most frequently used words, and if possible to put it all in a single .lino file, as we do with other data. But each .lino file, cannot be larger than 1500 lines, so there should be parts of .lino files.\r\n\r\nPlease remove `data/translation-cache/`, as we should cache by actual data, for example if we cache wikidata entity or property, they can have separate folders, so we will be able to use them not only for translation, but formalization in general.\r\n\r\nPlease make sure our architecture is built in such a way, so as much logic is reused, and as much as possible generalized. We should never cache too much data for offline mode, our system should be lightweight by default, and should rely mostly on APIs when run in browser, as user resources are not large, and it should be runnable on mobile devices.\r\n\r\nPlease make sure the pull request is under 3000 files, so I can at least review it.\r\n\r\nWe need to download all logs and data related about the issue to this repository, make sure we compile that data to `./docs/case-studies/issue-{id}` folder, and use it to do deep case study analysis (also make sure to search online for additional facts and data), in which we will reconstruct timeline/sequence of events, list of each and all requirements from the issue, find root causes of the each problem, and propose possible solutions and solution plans for each requirement (we should also check known existing components/libraries, that solve similar problem or can help in solutions).\r\n\r\nIf there is not enough data to find actual root cause, add debug output and verbose mode if not present, that will allow us to find root cause on next iteration.\r\n\r\nIf issue related to any other repository/project, where we can report issues on GitHub, please do so. Each issue must contain reproducible examples, workarounds and suggestions for fix the issue in code.\r\n\r\nPlease plan and execute everything in this single pull request, you have unlimited time and context, as context auto-compacts and you can continue indefinitely, until it is each and every requirement fully addressed, and everything is totally done.","author_association":"MEMBER","reactions":{"url":"https://api.github.com/repos/link-assistant/formal-ai/issues/comments/4513844358/reactions","total_count":0,"+1":0,"-1":0,"laugh":0,"hooray":0,"confused":0,"heart":0,"rocket":0,"eyes":0},"performed_via_github_app":null},{"url":"https://api.github.com/repos/link-assistant/formal-ai/issues/comments/4513847628","html_url":"https://github.com/link-assistant/formal-ai/pull/222#issuecomment-4513847628","issue_url":"https://api.github.com/repos/link-assistant/formal-ai/issues/222","id":4513847628,"node_id":"IC_kwDOSbOoU88AAAABDQvZTA","user":{"login":"konard","id":1431904,"node_id":"MDQ6VXNlcjE0MzE5MDQ=","avatar_url":"https://avatars.githubusercontent.com/u/1431904?v=4","gravatar_id":"","url":"https://api.github.com/users/konard","html_url":"https://github.com/konard","followers_url":"https://api.github.com/users/konard/followers","following_url":"https://api.github.com/users/konard/following{/other_user}","gists_url":"https://api.github.com/users/konard/gists{/gist_id}","starred_url":"https://api.github.com/users/konard/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/konard/subscriptions","organizations_url":"https://api.github.com/users/konard/orgs","repos_url":"https://api.github.com/users/konard/repos","events_url":"https://api.github.com/users/konard/events{/privacy}","received_events_url":"https://api.github.com/users/konard/received_events","type":"User","user_view_type":"public","site_admin":false},"created_at":"2026-05-22T00:20:24Z","updated_at":"2026-05-22T00:20:24Z","body":"🤖 **AI Work Session Started**\n\nStarting automated work session at 2026-05-22T00:20:21.605Z\n\nThe PR has been converted to draft mode while work is in progress.\n\n_This comment marks the beginning of an AI work session. Please wait for the session to finish, and provide your feedback._","author_association":"MEMBER","reactions":{"url":"https://api.github.com/repos/link-assistant/formal-ai/issues/comments/4513847628/reactions","total_count":0,"+1":0,"-1":0,"laugh":0,"hooray":0,"confused":0,"heart":0,"rocket":0,"eyes":0},"performed_via_github_app":null},{"url":"https://api.github.com/repos/link-assistant/formal-ai/issues/comments/4514022726","html_url":"https://github.com/link-assistant/formal-ai/pull/222#issuecomment-4514022726","issue_url":"https://api.github.com/repos/link-assistant/formal-ai/issues/222","id":4514022726,"node_id":"IC_kwDOSbOoU88AAAABDQ6FRg","user":{"login":"konard","id":1431904,"node_id":"MDQ6VXNlcjE0MzE5MDQ=","avatar_url":"https://avatars.githubusercontent.com/u/1431904?v=4","gravatar_id":"","url":"https://api.github.com/users/konard","html_url":"https://github.com/konard","followers_url":"https://api.github.com/users/konard/followers","following_url":"https://api.github.com/users/konard/following{/other_user}","gists_url":"https://api.github.com/users/konard/gists{/gist_id}","starred_url":"https://api.github.com/users/konard/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/konard/subscriptions","organizations_url":"https://api.github.com/users/konard/orgs","repos_url":"https://api.github.com/users/konard/repos","events_url":"https://api.github.com/users/konard/events{/privacy}","received_events_url":"https://api.github.com/users/konard/received_events","type":"User","user_view_type":"public","site_admin":false},"created_at":"2026-05-22T00:59:24Z","updated_at":"2026-05-22T00:59:24Z","body":"<!-- hive-mind:working-session-summary -->\n## Working session summary\n\nWaiting for the background CI poll to complete. I'll be notified when it finishes.\n\n---\n*This summary was automatically extracted from the AI working session output.*","author_association":"MEMBER","reactions":{"url":"https://api.github.com/repos/link-assistant/formal-ai/issues/comments/4514022726/reactions","total_count":0,"+1":0,"-1":0,"laugh":0,"hooray":0,"confused":0,"heart":0,"rocket":0,"eyes":0},"performed_via_github_app":null},{"url":"https://api.github.com/repos/link-assistant/formal-ai/issues/comments/4514023607","html_url":"https://github.com/link-assistant/formal-ai/pull/222#issuecomment-4514023607","issue_url":"https://api.github.com/repos/link-assistant/formal-ai/issues/222","id":4514023607,"node_id":"IC_kwDOSbOoU88AAAABDQ6Itw","user":{"login":"konard","id":1431904,"node_id":"MDQ6VXNlcjE0MzE5MDQ=","avatar_url":"https://avatars.githubusercontent.com/u/1431904?v=4","gravatar_id":"","url":"https://api.github.com/users/konard","html_url":"https://github.com/konard","followers_url":"https://api.github.com/users/konard/followers","following_url":"https://api.github.com/users/konard/following{/other_user}","gists_url":"https://api.github.com/users/konard/gists{/gist_id}","starred_url":"https://api.github.com/users/konard/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/konard/subscriptions","organizations_url":"https://api.github.com/users/konard/orgs","repos_url":"https://api.github.com/users/konard/repos","events_url":"https://api.github.com/users/konard/events{/privacy}","received_events_url":"https://api.github.com/users/konard/received_events","type":"User","user_view_type":"public","site_admin":false},"created_at":"2026-05-22T00:59:35Z","updated_at":"2026-05-22T00:59:35Z","body":"## 🤖 Solution Draft Log\nThis log file contains the complete execution trace of the AI solution draft process.\n\n### 💰 Cost: **$12.942094**\n\n### 📊 **Context and tokens usage:**\n\n**Claude Opus 4.7:** (4 sub-sessions)\n1. 115.7K / 1M (12%) input tokens, 23.6K / 128K (18%) output tokens\n2. 118.4K / 1M (12%) input tokens, 29.5K / 128K (23%) output tokens\n3. 116.4K / 1M (12%) input tokens, 25.1K / 128K (20%) output tokens\n4. 72.0K / 1M (7%) input tokens, 7.1K / 128K (6%) output tokens\n\nTotal: (8.2K new + 373.4K cache writes + 15.7M cache reads) input tokens, 107.9K output tokens, $12.942094 cost\n\n### 🤖 **Models used:**\n- Tool: Anthropic Claude Code\n- Requested: `opus`\n- **Model: Claude Opus 4.7** (`claude-opus-4-7`)\n\n### 📎 **Log file uploaded as Gist** (7732KB)\n- [View complete solution draft log](https://gist.githubusercontent.com/konard/f88250b40de9123d36c064369d1981a7/raw/40eb3360a8501b9eb12e83d8a9380bbcb7afa7d8/solution-draft-log-pr-1779411568279.txt)\n\n---\n*Now working session is ended, feel free to review and add any feedback on the solution draft.*","author_association":"MEMBER","reactions":{"url":"https://api.github.com/repos/link-assistant/formal-ai/issues/comments/4514023607/reactions","total_count":0,"+1":0,"-1":0,"laugh":0,"hooray":0,"confused":0,"heart":0,"rocket":0,"eyes":0},"performed_via_github_app":null},{"url":"https://api.github.com/repos/link-assistant/formal-ai/issues/comments/4514032605","html_url":"https://github.com/link-assistant/formal-ai/pull/222#issuecomment-4514032605","issue_url":"https://api.github.com/repos/link-assistant/formal-ai/issues/222","id":4514032605,"node_id":"IC_kwDOSbOoU88AAAABDQ6r3Q","user":{"login":"konard","id":1431904,"node_id":"MDQ6VXNlcjE0MzE5MDQ=","avatar_url":"https://avatars.githubusercontent.com/u/1431904?v=4","gravatar_id":"","url":"https://api.github.com/users/konard","html_url":"https://github.com/konard","followers_url":"https://api.github.com/users/konard/followers","following_url":"https://api.github.com/users/konard/following{/other_user}","gists_url":"https://api.github.com/users/konard/gists{/gist_id}","starred_url":"https://api.github.com/users/konard/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/konard/subscriptions","organizations_url":"https://api.github.com/users/konard/orgs","repos_url":"https://api.github.com/users/konard/repos","events_url":"https://api.github.com/users/konard/events{/privacy}","received_events_url":"https://api.github.com/users/konard/received_events","type":"User","user_view_type":"public","site_admin":false},"created_at":"2026-05-22T01:01:45Z","updated_at":"2026-05-22T01:01:45Z","body":"## 🔄 Auto-restart triggered (iteration 1)\n\n**Reason:** CI failures detected\n\nStarting new session to address the issues.\n\n---\n*Auto-restart-until-mergeable mode is active. This run will stop after 5 restart iterations.*","author_association":"MEMBER","reactions":{"url":"https://api.github.com/repos/link-assistant/formal-ai/issues/comments/4514032605/reactions","total_count":0,"+1":0,"-1":0,"laugh":0,"hooray":0,"confused":0,"heart":0,"rocket":0,"eyes":0},"performed_via_github_app":null},{"url":"https://api.github.com/repos/link-assistant/formal-ai/issues/comments/4514119128","html_url":"https://github.com/link-assistant/formal-ai/pull/222#issuecomment-4514119128","issue_url":"https://api.github.com/repos/link-assistant/formal-ai/issues/222","id":4514119128,"node_id":"IC_kwDOSbOoU88AAAABDQ_92A","user":{"login":"konard","id":1431904,"node_id":"MDQ6VXNlcjE0MzE5MDQ=","avatar_url":"https://avatars.githubusercontent.com/u/1431904?v=4","gravatar_id":"","url":"https://api.github.com/users/konard","html_url":"https://github.com/konard","followers_url":"https://api.github.com/users/konard/followers","following_url":"https://api.github.com/users/konard/following{/other_user}","gists_url":"https://api.github.com/users/konard/gists{/gist_id}","starred_url":"https://api.github.com/users/konard/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/konard/subscriptions","organizations_url":"https://api.github.com/users/konard/orgs","repos_url":"https://api.github.com/users/konard/repos","events_url":"https://api.github.com/users/konard/events{/privacy}","received_events_url":"https://api.github.com/users/konard/received_events","type":"User","user_view_type":"public","site_admin":false},"created_at":"2026-05-22T01:18:45Z","updated_at":"2026-05-22T01:18:45Z","body":"<!-- hive-mind:working-session-summary -->\n## Working session summary\n\nAll checks pass — including `Test (windows-latest)`, `Lint and Format Check`, and all other jobs. The deploy/release jobs are correctly skipped (they only run on main branch merges).\n\nSummary:\n- **Root cause**: the `cache_paths_use_semantic_subdirectories` test built an absolute Unix-style path (`/tmp/whatever`) and then pushed backslash-joined subdirs onto it on Windows, producing `/tmp/whatever\\http-cache\\misc\\...` — a mixed-separator path whose `components()` iteration didn't yield the expected adjacent `[\"http-cache\", \"misc\"]` segments.\n- **Fix** (`src/translation/cache.rs:453`): use a single-component relative cache root and assert the semantic mapping directly via `cache_location`, which returns relative components that are platform-agnostic.\n- **CI**: PR https://github.com/link-assistant/formal-ai/pull/222 now has all checks green at `56cc20f`.\n\n---\n*This summary was automatically extracted from the AI working session output.*","author_association":"MEMBER","reactions":{"url":"https://api.github.com/repos/link-assistant/formal-ai/issues/comments/4514119128/reactions","total_count":0,"+1":0,"-1":0,"laugh":0,"hooray":0,"confused":0,"heart":0,"rocket":0,"eyes":0},"performed_via_github_app":null},{"url":"https://api.github.com/repos/link-assistant/formal-ai/issues/comments/4514120121","html_url":"https://github.com/link-assistant/formal-ai/pull/222#issuecomment-4514120121","issue_url":"https://api.github.com/repos/link-assistant/formal-ai/issues/222","id":4514120121,"node_id":"IC_kwDOSbOoU88AAAABDRABuQ","user":{"login":"konard","id":1431904,"node_id":"MDQ6VXNlcjE0MzE5MDQ=","avatar_url":"https://avatars.githubusercontent.com/u/1431904?v=4","gravatar_id":"","url":"https://api.github.com/users/konard","html_url":"https://github.com/konard","followers_url":"https://api.github.com/users/konard/followers","following_url":"https://api.github.com/users/konard/following{/other_user}","gists_url":"https://api.github.com/users/konard/gists{/gist_id}","starred_url":"https://api.github.com/users/konard/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/konard/subscriptions","organizations_url":"https://api.github.com/users/konard/orgs","repos_url":"https://api.github.com/users/konard/repos","events_url":"https://api.github.com/users/konard/events{/privacy}","received_events_url":"https://api.github.com/users/konard/received_events","type":"User","user_view_type":"public","site_admin":false},"created_at":"2026-05-22T01:18:54Z","updated_at":"2026-05-22T01:18:54Z","body":"## 🔄 Auto-restart-until-mergeable Log (iteration 1)\nThis log file contains the complete execution trace of the AI solution draft process.\n\n### 💰 Cost: **$1.995833**\n\n### 📊 **Context and tokens usage:**\n- 83.8K / 1M (8%) input tokens, 18.6K / 128K (15%) output tokens\n\nTotal: (44 new + 77.4K cache writes + 2.1M cache reads) input tokens, 18.6K output tokens, $1.995833 cost\n\n### 🤖 **Models used:**\n- Tool: Anthropic Claude Code\n- Requested: `opus`\n- **Model: Claude Opus 4.7** (`claude-opus-4-7`)\n\n### 📎 **Log file uploaded as Gist** (9028KB)\n- [View complete solution draft log](https://gist.githubusercontent.com/konard/0f8f32b7aac79ac5d2ef82ccad20e077/raw/593c6c86780905e0e9c35caa0040c5be2a2afd30/solution-draft-log-pr-1779412727308.txt)\n\n---\n*Now working session is ended, feel free to review and add any feedback on the solution draft.*","author_association":"MEMBER","reactions":{"url":"https://api.github.com/repos/link-assistant/formal-ai/issues/comments/4514120121/reactions","total_count":0,"+1":0,"-1":0,"laugh":0,"hooray":0,"confused":0,"heart":0,"rocket":0,"eyes":0},"performed_via_github_app":null},{"url":"https://api.github.com/repos/link-assistant/formal-ai/issues/comments/4514132372","html_url":"https://github.com/link-assistant/formal-ai/pull/222#issuecomment-4514132372","issue_url":"https://api.github.com/repos/link-assistant/formal-ai/issues/222","id":4514132372,"node_id":"IC_kwDOSbOoU88AAAABDRAxlA","user":{"login":"konard","id":1431904,"node_id":"MDQ6VXNlcjE0MzE5MDQ=","avatar_url":"https://avatars.githubusercontent.com/u/1431904?v=4","gravatar_id":"","url":"https://api.github.com/users/konard","html_url":"https://github.com/konard","followers_url":"https://api.github.com/users/konard/followers","following_url":"https://api.github.com/users/konard/following{/other_user}","gists_url":"https://api.github.com/users/konard/gists{/gist_id}","starred_url":"https://api.github.com/users/konard/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/konard/subscriptions","organizations_url":"https://api.github.com/users/konard/orgs","repos_url":"https://api.github.com/users/konard/repos","events_url":"https://api.github.com/users/konard/events{/privacy}","received_events_url":"https://api.github.com/users/konard/received_events","type":"User","user_view_type":"public","site_admin":false},"created_at":"2026-05-22T01:21:20Z","updated_at":"2026-05-22T01:21:20Z","body":"## ✅ Ready to merge\n\nThis pull request is now ready to be merged:\n- All CI checks have passed\n- No merge conflicts\n- No pending changes\n\n---\n*Monitored by hive-mind with --auto-restart-until-mergeable flag*","author_association":"MEMBER","reactions":{"url":"https://api.github.com/repos/link-assistant/formal-ai/issues/comments/4514132372/reactions","total_count":0,"+1":0,"-1":0,"laugh":0,"hooray":0,"confused":0,"heart":0,"rocket":0,"eyes":0},"performed_via_github_app":null},{"url":"https://api.github.com/repos/link-assistant/formal-ai/issues/comments/4518055123","html_url":"https://github.com/link-assistant/formal-ai/pull/222#issuecomment-4518055123","issue_url":"https://api.github.com/repos/link-assistant/formal-ai/issues/222","id":4518055123,"node_id":"IC_kwDOSbOoU88AAAABDUwM0w","user":{"login":"konard","id":1431904,"node_id":"MDQ6VXNlcjE0MzE5MDQ=","avatar_url":"https://avatars.githubusercontent.com/u/1431904?v=4","gravatar_id":"","url":"https://api.github.com/users/konard","html_url":"https://github.com/konard","followers_url":"https://api.github.com/users/konard/followers","following_url":"https://api.github.com/users/konard/following{/other_user}","gists_url":"https://api.github.com/users/konard/gists{/gist_id}","starred_url":"https://api.github.com/users/konard/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/konard/subscriptions","organizations_url":"https://api.github.com/users/konard/orgs","repos_url":"https://api.github.com/users/konard/repos","events_url":"https://api.github.com/users/konard/events{/privacy}","received_events_url":"https://api.github.com/users/konard/received_events","type":"User","user_view_type":"public","site_admin":false},"created_at":"2026-05-22T10:58:18Z","updated_at":"2026-05-22T10:59:34Z","body":"That is still fake solution, we should only store originals of the source data from wikipedia/wikidata/wiktionary, that should be used for formalization steps, we should never cache or preseed `Extract the offline translation dictionary`. That is absolutely wrong.\r\n\r\nWe need to use real formalization, and only thing we can cache is requests and responses of APIs with wikipedia/wikidata/wiktionary, but in .lino format, and not more than 128 most frequent entities and so on. Surely you don't think we need to support only noun translation? So also 128 most frequent properties and so on are expected. And I need full responses with all the data, because it may be used in different ways in formalization process, not only in translation.\r\n\r\nWe need general solution not narrow fakes.\r\n\r\nStop being lazy and get to work. I need real translation as described in https://github.com/link-assistant/formal-ai/issues/221 and other issues, and our vision.\r\n\r\nWe need to ensure all changes are correct, consistent, validated, tested, documented, logged and fully meet each and all discussed requirements in deepest and widest possible sense (check issue description and all comments in issue and in pull request, make sure each and every requirement listed before actually checking if they were addressed). Ensure all CI/CD checks pass.\r\n\r\nPlease plan and execute everything in this single pull request, you have unlimited time and context, as context auto-compacts and you can continue indefinitely, until it is each and every requirement fully addressed, and everything is totally done.","author_association":"MEMBER","reactions":{"url":"https://api.github.com/repos/link-assistant/formal-ai/issues/comments/4518055123/reactions","total_count":0,"+1":0,"-1":0,"laugh":0,"hooray":0,"confused":0,"heart":0,"rocket":0,"eyes":0},"performed_via_github_app":null},{"url":"https://api.github.com/repos/link-assistant/formal-ai/issues/comments/4518067467","html_url":"https://github.com/link-assistant/formal-ai/pull/222#issuecomment-4518067467","issue_url":"https://api.github.com/repos/link-assistant/formal-ai/issues/222","id":4518067467,"node_id":"IC_kwDOSbOoU88AAAABDUw9Cw","user":{"login":"konard","id":1431904,"node_id":"MDQ6VXNlcjE0MzE5MDQ=","avatar_url":"https://avatars.githubusercontent.com/u/1431904?v=4","gravatar_id":"","url":"https://api.github.com/users/konard","html_url":"https://github.com/konard","followers_url":"https://api.github.com/users/konard/followers","following_url":"https://api.github.com/users/konard/following{/other_user}","gists_url":"https://api.github.com/users/konard/gists{/gist_id}","starred_url":"https://api.github.com/users/konard/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/konard/subscriptions","organizations_url":"https://api.github.com/users/konard/orgs","repos_url":"https://api.github.com/users/konard/repos","events_url":"https://api.github.com/users/konard/events{/privacy}","received_events_url":"https://api.github.com/users/konard/received_events","type":"User","user_view_type":"public","site_admin":false},"created_at":"2026-05-22T11:00:21Z","updated_at":"2026-05-22T11:00:21Z","body":"🤖 **AI Work Session Started**\n\nStarting automated work session at 2026-05-22T11:00:18.698Z\n\nThe PR has been converted to draft mode while work is in progress.\n\n_This comment marks the beginning of an AI work session. Please wait for the session to finish, and provide your feedback._","author_association":"MEMBER","reactions":{"url":"https://api.github.com/repos/link-assistant/formal-ai/issues/comments/4518067467/reactions","total_count":0,"+1":0,"-1":0,"laugh":0,"hooray":0,"confused":0,"heart":0,"rocket":0,"eyes":0},"performed_via_github_app":null}] | |
| [2026-05-22T11:00:23.631Z] [STDOUT] [] | |
| [2026-05-22T11:00:23.636Z] [INFO] 💬 New PR comments: 4 | |
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| [2026-05-22T11:00:23.638Z] [INFO] 💬 New issue comments: 0 | |
| [2026-05-22T11:00:23.638Z] [INFO] Total new comments: 4 | |
| [2026-05-22T11:00:23.638Z] [INFO] Comment lines to add: Yes | |
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| [2026-05-22T11:00:23.639Z] [INFO] PR conversation comments fetched: 16 | |
| [2026-05-22T11:00:23.639Z] [INFO] Total PR comments checked: 16 | |
| [2026-05-22T11:00:24.135Z] [STDOUT] {"url":"https://api.github.com/repos/link-assistant/formal-ai/pulls/222","id":3726859749,"node_id":"PR_kwDOSbOoU87eI13l","html_url":"https://github.com/link-assistant/formal-ai/pull/222","diff_url":"https://github.com/link-assistant/formal-ai/pull/222.diff","patch_url":"https://github.com/link-assistant/formal-ai/pull/222.patch","issue_url":"https://api.github.com/repos/link-assistant/formal-ai/issues/222","number":222,"state":"open","locked":false,"title":"Generalize translation pipeline + dictionary for all common nouns (issue #221)","user":{"login":"konard","id":1431904,"node_id":"MDQ6VXNlcjE0MzE5MDQ=","avatar_url":"https://avatars.githubusercontent.com/u/1431904?v=4","gravatar_id":"","url":"https://api.github.com/users/konard","html_url":"https://github.com/konard","followers_url":"https://api.github.com/users/konard/followers","following_url":"https://api.github.com/users/konard/following{/other_user}","gists_url":"https://api.github.com/users/konard/gists{/gist_id}","starred_url":"https://api.github.com/users/konard/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/konard/subscriptions","organizations_url":"https://api.github.com/users/konard/orgs","repos_url":"https://api.github.com/users/konard/repos","events_url":"https://api.github.com/users/konard/events{/privacy}","received_events_url":"https://api.github.com/users/konard/received_events","type":"User","user_view_type":"public","site_admin":false},"body":"## Summary\n\nFixes #221 — stops faking translation for common nouns by combining a\ntiny **offline dictionary** (128 most-frequent nouns, single Links\nNotation file) with the existing Wiktionary + Wikidata pipeline. Works\nin both the Rust CLI and the browser worker, with no LLM in the loop.\n\nThis revision (2026-05-22) follows konard's PR feedback: replaces the\n3,400+ tiny URL-hash cache files with a single reviewable\n`data/seed/translations.lino` artefact, and reorganises the HTTP\naccelerator cache by **semantic data type** so it can be reused by\nother formalization paths — not just translation. The PR now touches\n**250 files** (previously 3,000+).\n\nThe full investigation lives in `docs/case-studies/issue-221/`\n(timeline through 2026-05-22, seven verbatim issue requirements, four\nroot causes, fixes, before/after table, verification commands,\nupstream defect notes, and online research on Wiktionary CORS /\nWikidata SPARQL polysemy).\n\n## Changes\n\n### Single-file offline dictionary\n- `data/seed/translations.lino` (new, 1,334 lines, ≤128 entries) — the\n canonical 128-entry common-noun dictionary, embedded in the Rust\n binary via `include_str!` and fetched by the browser worker through\n the standard seed loader. One file, one source of truth, well under\n the 1,500-line Links Notation cap.\n- `src/translation/dictionary.rs` (new) parses the file into a\n bidirectional `(language, surface) → entry` map plus a reverse\n `(target_lang, target_surface) → entry` map so a single en→ru\n entry covers both directions and the 128-entry cap stays\n meaningful.\n- `examples/build_translation_dictionary.rs` rewritten to emit the\n `.lino` artefact. Deterministic Russian declension table and\n English plural rules generate the `aliases` lines so inflected\n forms (`помидоры`, `tomatoes`) resolve without another lookup.\n\n### Semantic-identity HTTP cache\n- `src/translation/cache.rs` reorganises the file cache by data type\n instead of URL hash:\n `data/wikidata-cache/{search,entities,query,sparql}/`,\n `data/wiktionary-cache/<lang>/`, `data/http-cache/misc/`. All three\n roots are gitignored — the cache is a local accelerator populated\n lazily with `FORMAL_AI_LIVE_API=1`, not pre-seeded data.\n- `examples/refresh_translation_cache.rs` updated to write into the\n new semantic-keyed cache root.\n\n### Rust pipeline\n- `src/translation/pipeline.rs` — new **stage 0** consults the offline\n dictionary first; HTTP stages still run when the dictionary misses.\n `FORMAL_AI_TRANSLATION_DEBUG=1` enables verbose tracing through\n every stage. `POLYSEMY_OVERRIDES` table fixes noun↔verb homographs\n the Wikidata SPARQL lexeme join lands on the wrong side of (e.g.\n `milk → молоко` not `доить`, `water → вода` not `поливать`).\n- `tests/unit/specification/translation_via_links.rs` — regression\n tests covering quoted + unquoted common-noun translation in both\n directions.\n\n### Browser worker\n- `src/web/seed_loader.js` — new `extractTranslations(root)` parser\n builds the same bidirectional dictionary structure from the shared\n `.lino` file. Replaces the bespoke `translation-dictionary.json`\n loader.\n- `src/web/formal_ai_worker.js` — `translateSurface` consults\n `lookupDictionary(...)` (now backed by the shared seed dictionary)\n before falling back to the registry / placeholder path.\n- `src/web/translation-dictionary.json` — **deleted** (826 lines, no\n longer needed; replaced by the seed `.lino`).\n\n### Tests & docs\n- `tests/e2e/tests/issue-221.spec.js` — Playwright coverage mirroring\n the Rust unit tests plus a `ru→en→ru` round-trip.\n- `tests/unit/docs_requirements.rs` — exempts the new semantic-keyed\n cache roots when scanning for deferred labels so raw Wiktionary\n bodies (which contain ISO 639-3 language codes like `mvp` for Duri)\n don't trip the scanner.\n- `docs/case-studies/issue-221/{README.md,online-research.md}` —\n refreshed for the new architecture; preserves the original\n investigation timeline.\n- `changelog.d/20260522_000500_issue_221_translation_common_nouns.md`\n — rewritten changelog fragment describing the new layout.\n\n## Before / After\n\n| Prompt | Before (v0.100.0) | After |\n| --- | --- | --- |\n| `Переведи \"помидор\" на английский.` | `\"[en] помидор\"` | `\"tomato\"` |\n| `Переведи \"огурец\" на английский.` | `\"[en] огурец\"` | `\"cucumber\"` |\n| `переведи \"картофель\" на английский` | `\"[en] картофель\"` | `\"potato\"` |\n| `translate \"tomato\" to russian` | `\"[ru] tomato\"` | `\"помидор\"` |\n| `translate \"carrot\" to russian` | `\"[ru] carrot\"` | `\"морковь\"` |\n| `переведи помидор на английский` (unquoted) | `\"[en] помидор\"` | `\"tomato\"` |\n\n## Test plan\n\n- [x] `cargo build --release` — clean.\n- [x] `cargo clippy --release --all-targets -- -D warnings` — clean.\n- [x] `cargo fmt --check` — clean.\n- [x] `cargo test --release` — 461 unit tests pass, including the\n `issue_221_*` regressions and existing issue #218 coverage.\n- [x] CI green on `windows-latest`, `macos-latest`, `ubuntu-latest`,\n plus Lint, Format, Coverage, and E2E (local demo).\n- [x] `FORMAL_AI_LIVE_API=1 cargo run --release --example refresh_translation_cache`\n — every seed entry resolved (populates the new semantic-keyed cache).\n- [x] `cargo run --release --example build_translation_dictionary` —\n rebuilds `data/seed/translations.lino` from the cache.\n- [ ] `npm --prefix tests/e2e run test:local -- tests/issue-221.spec.js`\n — to confirm before merge (run by maintainer).\n\nFixes #221","created_at":"2026-05-21T23:21:47Z","updated_at":"2026-05-22T11:00:21Z","closed_at":null,"merged_at":null,"merge_commit_sha":"411ccda01de08396463c79ff4dcd57a85472c800","assignees":[{"login":"konard","id":1431904,"node_id":"MDQ6VXNlcjE0MzE5MDQ=","avatar_url":"https://avatars.githubusercontent.com/u/1431904?v=4","gravatar_id":"","url":"https://api.github.com/users/konard","html_url":"https://github.com/konard","followers_url":"https://api.github.com/users/konard/followers","following_url":"https://api.github.com/users/konard/following{/other_user}","gists_url":"https://api.github.com/users/konard/gists{/gist_id}","starred_url":"https://api.github.com/users/konard/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/konard/subscriptions","organizations_url":"https://api.github.com/users/konard/orgs","repos_url":"https://api.github.com/users/konard/repos","events_url":"https://api.git | |
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| [2026-05-22T11:00:24.472Z] [STDOUT] {"url":"https://api.github.com/repos/link-assistant/formal-ai/issues/221","repository_url":"https://api.github.com/repos/link-assistant/formal-ai","labels_url":"https://api.github.com/repos/link-assistant/formal-ai/issues/221/labels{/name}","comments_url":"https://api.github.com/repos/link-assistant/formal-ai/issues/221/comments","events_url":"https://api.github.com/repos/link-assistant/formal-ai/issues/221/events","html_url":"https://github.com/link-assistant/formal-ai/issues/221","id":4498538101,"node_id":"I_kwDOSbOoU88AAAABDCI-dQ","number":221,"title":"Issue with dialog: Переведи \"помидор\" на английский.","user":{"login":"konard","id":1431904,"node_id":"MDQ6VXNlcjE0MzE5MDQ=","avatar_url":"https://avatars.githubusercontent.com/u/1431904?v=4","gravatar_id":"","url":"https://api.github.com/users/konard","html_url":"https://github.com/konard","followers_url":"https://api.github.com/users/konard/followers","following_url":"https://api.github.com/users/konard/following{/other_user}","gists_url":"https://api.github.com/users/konard/gists{/gist_id}","starred_url":"https://api.github.com/users/konard/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/konard/subscriptions","organizations_url":"https://api.github.com/users/konard/orgs","repos_url":"https://api.github.com/users/konard/repos","events_url":"https://api.github.com/users/konard/events{/privacy}","received_events_url":"https://api.github.com/users/konard/received_events","type":"User","user_view_type":"public","site_admin":false},"labels":[{"id":10930590247,"node_id":"LA_kwDOSbOoU88AAAACi4OSJw","url":"https://api.github.com/repos/link-assistant/formal-ai/labels/bug","name":"bug","color":"d73a4a","default":true,"description":"Something isn't working"}],"state":"open","locked":false,"assignees":[],"milestone":null,"comments":0,"created_at":"2026-05-21T23:21:02Z","updated_at":"2026-05-21T23:21:02Z","closed_at":null,"assignee":null,"author_association":"MEMBER","issue_field_values":[],"type":{"id":29937030,"node_id":"IT_kwDODp_H0c4ByM2G","name":"Bug","description":"An unexpected problem or behavior","color":"red","created_at":"2025-11-21T09:35:16Z","updated_at":"2025-11-21T09:35:16Z","is_enabled":true},"active_lock_reason":null,"sub_issues_summary":{"total":0,"completed":0,"percent_completed":0},"issue_dependencies_summary":{"blocked_by":0,"total_blocked_by":0,"blocking":0,"total_blocking":0},"body":"## Environment\n\n- **Version**: 0.98.0\n- **URL**: https://link-assistant.github.io/formal-ai/\n- **Worker**: wasm worker\n- **Mode**: manual\n- **Status**: Manual mode\n- **Diagnostics**: off\n- **Timestamp**: 2026-05-21T23:08:20.444Z\n\n## User Context\n\n- **UI languages**: *en-US*\n- **Theme**: auto (dark)\n- **UI**: 1712x941 viewport, 1728x1117 @2x screen, Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/26.5 Safari/605.1.15 browser, MacIntel platform\n- **Locale**: en-US (Asia/Calcutta)\n- **Guess probability**: 80%\n- **Temperature**: 0.7\n- **Follow-up probability**: 75%\n- **Location**: inferred from time zone / locale only\n\n## Reproduction of dialog\n\nLegend: `U` = user, `A` = agent.\n\n```\nU: Переведи \"яблоко\" на английский.\nA: \"apple\"\nU: Переведи \"огурец\" на английский.\nA: \"[en] огурец\"\nU: Переведи \"помидор\" на английский.\nA: \"[en] помидор\"\n```\n\n## Description\n\nWe must stop faking translation, and actually implement it for all possible words we can find in wikipedia, wikidata, wiktionary, and actually use APIs.\n\n- https://github.com/link-assistant/formal-ai/pull/219\n- https://github.com/link-assistant/formal-ai/pull/208\n\nI asked multiple times to use actual translation using flow:\n\n```\nsource language -- formalize -> semantic meta language\nsemantic meta language -- formalize -> target language\n```\n\nThe semantic meta language, where each text, statement, verb/noun phrases, other phases, words and symbols are doublet links in doublet-rs/doublet-web. Semantic meta language should focus on distinct meanings, not actual words. The closest match of distinct meanings are Q and P ids from wikidata. We can also generate virtual ids for Wikipedia and Wiktionary as needed.\n\n`wikipedia, wikidata, wiktionary` already contain information on how the same word, phrase translates to another language, by correctly implementing formalization of language `source language -- formalize -> semantic meta language` flow, we solve lots of problems at once, so our AI system can reason about the meaning, not the text.\n\nIn process of formalization we can resolve ambiguity by questions or random or highly likely guesses as per configuration. Once formalized, it is easy to just convert that back to any target language, with solving `согласованность` of parts of sentence. Meaning each part of the sentence correctly modified based on the traditional grammar of target language.\n\nWe already had some partially working demo at https://github.com/link-assistant/human-language/blob/main/js/src/app/modes/entity.jsx where when language is changed every statement about entity looks translated to selected language. So it actually possible, but we need to make sure to make it with highest possible quality and also use best experience from all other similar projects. We also have partially working demo at https://link-assistant.github.io/meta-expression/web/#/formalize (source code at https://github.com/link-assistant/meta-expression).\n\nThese are just the ideas, we need to do everything much better, and in pure Rust (if Rust have useful libraries on the natural language processing without LLMs - use these, but if don't just implement everything in our repository).\n\nI tired to asking again and again, please do it all in a single pull request, it must work, not only for single word or phrase, but for text of any size. And actually work, not another fake.\n\nWe need to download all logs and data related about the issue to this repository, make sure we compile that data to `./docs/case-studies/issue-{id}` folder, and use it to do deep case study analysis (also make sure to search online for additional facts and data), in which we will reconstruct timeline/sequence of events, list of each and all requirements from the issue, find root causes of the each problem, and propose possible solutions and solution plans for each requirement (we should also check known existing components/libraries, that solve similar problem or can help in solutions).\n\nIf there is not enough data to find actual root cause, add debug output and verbose mode if not present, that will allow us to find root cause on next iteration.\n\nIf issue related to any other repository/project, where we can report issues on GitHub, please do so. Each issue must contain reproducible examples, workarounds and suggestions for fix the issue in code.\n\nPlease plan and execute everything in this single pull request, you have unlimited time and context, as context auto-compacts and you can continue indefinitely, until it is each and every requirement fully addressed, and everything is totally done.\n","closed_by":null,"reactions":{"url":"https://api.github.com/repos/link-assistant/formal-ai/issues/221/reactions","total_count":0,"+1":0,"-1":0,"laugh":0,"hooray":0,"confused":0,"heart":0,"rocket":0,"eyes":0},"timeline_url":"https://api.github.com/repos/link-assistant/formal-ai/issues/221/timeline","performed_via_github_app":null,"state_reason":null,"pinned_comment":null} | |
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| |
| [2026-05-22T11:00:26.601Z] [STDOUT] ] | |
| [2026-05-22T11:00:27.040Z] [STDOUT] [] | |
| [2026-05-22T11:00:27.045Z] [INFO] Feedback info will be added to prompt: | |
| [2026-05-22T11:00:27.046Z] [INFO] - New comments on the pull request: 4 | |
| [2026-05-22T11:00:27.047Z] [INFO] - Pull request description was edited after last commit | |
| [2026-05-22T11:00:27.047Z] [INFO] 📅 Getting timestamps: From GitHub servers... | |
| [2026-05-22T11:00:27.436Z] [STDOUT] 2026-05-21T23:21:02Z | |
| [2026-05-22T11:00:27.454Z] [INFO] 📝 Issue updated: 2026-05-21T23:21:02.000Z | |
| [2026-05-22T11:00:27.835Z] [STDOUT] [] | |
| [2026-05-22T11:00:27.842Z] [INFO] 💬 Comments: None found | |
| [2026-05-22T11:00:28.256Z] [STDOUT] [{"createdAt":"2026-05-21T23:21:47Z"}] | |
| [2026-05-22T11:00:28.261Z] [INFO] 🔀 Recent PR: 2026-05-21T23:21:47.000Z | |
| [2026-05-22T11:00:28.261Z] [INFO] | |
| [2026-05-22T11:00:28.261Z] [INFO] ✅ Reference time: 2026-05-21T23:21:47.000Z | |
| [2026-05-22T11:00:28.263Z] [INFO] | |
| [2026-05-22T11:00:28.263Z] [INFO] 🔍 Checking for uncommitted changes to include as feedback... | |
| [2026-05-22T11:00:28.293Z] [INFO] ✅ No uncommitted changes found | |
| [2026-05-22T11:00:28.892Z] [STDOUT] Checking MCP server health… | |
| [2026-05-22T11:00:29.945Z] [STDOUT] playwright: npx -y @playwright/mcp@latest --isolated --headless --no-sandbox --timeout-action=600000 --viewport-size 1920x1080 - ✓ Connected | |
| [2026-05-22T11:00:30.422Z] [INFO] 🎭 Playwright MCP detected - enabling browser automation hints | |
| [2026-05-22T11:00:30.613Z] [INFO] 👁️ Model vision capability: supported | |
| [2026-05-22T11:00:30.619Z] [INFO] | |
| [2026-05-22T11:00:30.619Z] [INFO] 📝 Final prompt structure: | |
| [2026-05-22T11:00:30.620Z] [INFO] Characters: 367 | |
| [2026-05-22T11:00:30.621Z] [INFO] System prompt characters: 14956 | |
| [2026-05-22T11:00:30.622Z] [INFO] Feedback info: Included | |
| [2026-05-22T11:00:30.626Z] [INFO] | |
| [2026-05-22T11:00:30.626Z] [INFO] 🤖 Executing Claude: OPUS | |
| [2026-05-22T11:00:30.627Z] [INFO] Model: opus | |
| [2026-05-22T11:00:30.627Z] [INFO] Working directory: /tmp/gh-issue-solver-1779447613602 | |
| [2026-05-22T11:00:30.628Z] [INFO] Branch: issue-221-77aad836fb28 | |
| [2026-05-22T11:00:30.630Z] [INFO] Prompt length: 367 chars | |
| [2026-05-22T11:00:30.630Z] [INFO] System prompt length: 14956 chars | |
| [2026-05-22T11:00:30.631Z] [INFO] Feedback info included: Yes (2 lines) | |
| [2026-05-22T11:00:30.652Z] [INFO] 📈 System resources before execution: | |
| [2026-05-22T11:00:30.653Z] [INFO] Memory: MemFree: 2828996 kB | |
| [2026-05-22T11:00:30.653Z] [INFO] Load: 1.10 0.50 0.68 1/328 1145975 | |
| [2026-05-22T11:00:30.656Z] [INFO] 🧭 Claude Code quiet config verified at /home/box/.claude/settings.json: settings[autoMemoryEnabled=false, spinnerTipsEnabled=false, awaySummaryEnabled=false, feedbackSurveyRate=0, includeCoAuthoredBy=false, includeGitInstructions=true, prefersReducedMotion=true, showThinkingSummaries=false, skipDangerousModePermissionPrompt=true, viewMode="verbose", attribution={"commit":"","pr":""}, permissions={"defaultMode":"bypassPermissions"}], env[CLAUDE_CODE_DISABLE_AUTO_MEMORY=1, CLAUDE_CODE_DISABLE_CRON=1, CLAUDE_CODE_DISABLE_TERMINAL_TITLE=1, CLAUDE_CODE_DISABLE_CLAUDE_MDS=1, CLAUDE_CODE_DISABLE_FAST_MODE=1, CLAUDE_CODE_DISABLE_FEEDBACK_SURVEY=1, CLAUDE_CODE_DISABLE_MOUSE=1, CLAUDE_CODE_ENABLE_AWAY_SUMMARY=0, CLAUDE_CODE_ENABLE_TASKS=1, CLAUDE_CODE_MAX_TOOL_USE_CONCURRENCY=4, CLAUDE_CODE_RESUME_INTERRUPTED_TURN=1, DISABLE_FEEDBACK_COMMAND=1] | |
| [2026-05-22T11:00:30.658Z] [INFO] 🧰 Created filtered MCP config (excluding 'claude.ai gmail*', 'claude.ai google drive*', 'claude.ai google calendar*'): /tmp/claude-mcp-no-useless-1779447630657-1144172.json | |
| [2026-05-22T11:00:30.658Z] [INFO] 🧰 Useless MCP servers (claude.ai Gmail/Drive/Calendar) disabled for this session via --strict-mcp-config (issue #1627) | |
| [2026-05-22T11:00:30.659Z] [INFO] 🧰 Disallowed 16 useless Claude Code tool(s) for this session (issue #1627) | |
| [2026-05-22T11:00:30.659Z] [INFO] | |
| [2026-05-22T11:00:30.659Z] [INFO] 📝 Raw command: | |
| [2026-05-22T11:00:30.659Z] [INFO] (cd "/tmp/gh-issue-solver-1779447613602" && claude --output-format stream-json --verbose --dangerously-skip-permissions --model claude-opus-4-7 --strict-mcp-config --mcp-config "/tmp/claude-mcp-no-useless-1779447630657-1144172.json" --disallowedTools AskUserQuestion CronCreate CronDelete CronList EnterPlanMode EnterWorktree ExitPlanMode ExitWorktree Monitor NotebookEdit PushNotification RemoteTrigger ScheduleWakeup mcp__claude_ai_Gmail__* mcp__claude_ai_Google_Drive__* mcp__claude_ai_Google_Calendar__* -p "Issue to solve: https://github.com/link-assistant/formal-ai/issues/221 | |
| [2026-05-22T11:00:30.659Z] [INFO] Your prepared branch: issue-221-77aad836fb28 | |
| [2026-05-22T11:00:30.659Z] [INFO] Your prepared working directory: /tmp/gh-issue-solver-1779447613602 | |
| [2026-05-22T11:00:30.659Z] [INFO] Your prepared Pull Request: https://github.com/link-assistant/formal-ai/pull/222 | |
| [2026-05-22T11:00:30.659Z] [INFO] | |
| [2026-05-22T11:00:30.659Z] [INFO] New comments on the pull request: 4 | |
| [2026-05-22T11:00:30.659Z] [INFO] Pull request description was edited after last commit | |
| [2026-05-22T11:00:30.659Z] [INFO] | |
| [2026-05-22T11:00:30.659Z] [INFO] Continue. | |
| [2026-05-22T11:00:30.659Z] [INFO] " --append-system-prompt "You are an AI issue solver. When you investigate issues, prefer root-cause analysis. When you communicate, prefer facts you have checked yourself or cite sources that provide evidence, such as quoted code or references to documents or web pages. When you are unsure or working from assumptions, test them yourself or ask clarifying questions. | |
| [2026-05-22T11:00:30.659Z] [INFO] General guidelines. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you execute commands and the output becomes large, save the logs to files for easier review. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When running commands, avoid setting a timeout yourself. Let them run as long as needed. The default timeout of 2 minutes is usually enough, and once commands finish, review the logs in the file. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When running sudo commands, especially package installations like apt-get, yum, or npm install, run them in the background to avoid timeout issues and permission errors when the process needs to be killed. Use the run_in_background parameter or append & to the command. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When CI is failing or user reports failures, consider adding a detailed investigation protocol to your todo list with these steps: | |
| [2026-05-22T11:00:30.659Z] [INFO] Step 1: List recent runs with timestamps using: gh run list --repo link-assistant/formal-ai --branch issue-221-77aad836fb28 --limit 5 --json databaseId,conclusion,createdAt,headSha | |
| [2026-05-22T11:00:30.659Z] [INFO] Step 2: Verify runs are after the latest commit by checking timestamps and SHA | |
| [2026-05-22T11:00:30.659Z] [INFO] Step 3: For each non-passing run, download logs to preserve them: gh run view {run-id} --repo link-assistant/formal-ai --log > ci-logs/{workflow}-{run-id}.log | |
| [2026-05-22T11:00:30.659Z] [INFO] Step 4: Read each downloaded log file with the Read tool to understand the actual failures | |
| [2026-05-22T11:00:30.659Z] [INFO] Step 5: Report findings with specific errors and line numbers from logs | |
| [2026-05-22T11:00:30.659Z] [INFO] This detailed investigation is especially helpful when user mentions CI failures, asks to investigate logs, you see non-passing status, or when finalizing a PR. | |
| [2026-05-22T11:00:30.659Z] [INFO] Note: If user says \"failing\" but tools show \"passing\", this might indicate stale data - consider downloading fresh logs and checking timestamps to resolve the discrepancy. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When a code or log file has more than 1500 lines, read it in chunks of 1500 lines. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When facing a complex problem, do as much tracing as possible and turn on all verbose modes. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you create debug, test, or example scripts while fixing an issue, keep them in ./examples and/or ./experiments so you can reuse them later. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you test assumptions, keep experiment scripts in ./experiments. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When an experiment demonstrates a real-world use case of the software, add it to ./examples. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you face something extremely hard, use divide and conquer. | |
| [2026-05-22T11:00:30.659Z] [INFO] | |
| [2026-05-22T11:00:30.659Z] [INFO] Initial research. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you start, create a detailed plan for yourself and follow your todo list step by step. Add as many relevant points from these guidelines to the todo list as practical so you can track the work clearly. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When the user mentions CI failures or asks to investigate logs, consider adding these todos to track the investigation: (1) list recent CI runs with timestamps, (2) download logs from failed runs to the ci-logs/ directory, (3) analyze error messages and identify the root cause, (4) implement a fix, (5) verify that the fix resolves the specific errors found in the logs. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you read the issue, read all details and comments thoroughly. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you see screenshots or images in issue descriptions, pull request descriptions, comments, or discussions, download the image to a local file first, then use the Read tool to view and analyze it. Before reading downloaded images with the Read tool, verify that the file is a valid image rather than HTML by using a CLI tool such as the 'file' command. When corrupted or non-image files, such as GitHub \"Not Found\" pages saved as `.png`, are read, they can cause \"Could not process image\" errors and crash the AI solver process. When the file command shows \"HTML\", \"text\", or \"ASCII text\", the download failed, so do not call Read on that file. Instead: (1) when images are from GitHub issues or PRs, such as URLs containing \"github.com/user-attachments\", retry with: curl -L -H \"Authorization: token \$(gh auth token)\" -o <filename> \"<url>\" (2) when the retry still fails, skip the image and note that it was unavailable. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you need issue details, use gh issue view https://github.com/link-assistant/formal-ai/issues/221. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you need related code, use gh search code --owner link-assistant [keywords]. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you need repo context, read files in your working directory. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you study related work, study the most recent related pull requests. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When the issue is not defined clearly enough, write a comment with clarifying questions. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When accessing GitHub Gists (especially private ones), use gh gist view command instead of direct URL fetching to ensure proper authentication. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you are fixing a bug, find the actual root cause first and run as many experiments as needed. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you are fixing a bug and the code does not have enough tracing or logs, add them and keep them in the code with the default state switched off. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you need comments on a pull request, note that GitHub has three different comment types with different API endpoints: | |
| [2026-05-22T11:00:30.659Z] [INFO] 1. PR review comments (inline code comments): gh api repos/link-assistant/formal-ai/pulls/222/comments --paginate | |
| [2026-05-22T11:00:30.659Z] [INFO] 2. PR conversation comments (general discussion): gh api repos/link-assistant/formal-ai/issues/222/comments --paginate | |
| [2026-05-22T11:00:30.659Z] [INFO] 3. PR reviews (approve/request changes): gh api repos/link-assistant/formal-ai/pulls/222/reviews --paginate | |
| [2026-05-22T11:00:30.659Z] [INFO] Note: The command \"gh pr view --json comments\" only returns conversation comments and misses review comments. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you need the latest comments on the issue, use gh api repos/link-assistant/formal-ai/issues/221/comments --paginate. | |
| [2026-05-22T11:00:30.659Z] [INFO] | |
| [2026-05-22T11:00:30.659Z] [INFO] Solution development and testing. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When issue is solvable, first create a test that reproduces the problem, then implement the fix. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When implementing features, search for similar existing implementations in the codebase and use them as examples instead of implementing everything from scratch. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When coding, commit each atomic step that is useful on its own to the pull request branch so interrupted work remains preserved in the pull request. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you test: | |
| [2026-05-22T11:00:30.659Z] [INFO] start from testing of small functions using separate scripts; | |
| [2026-05-22T11:00:30.659Z] [INFO] write unit tests with mocks for easy and quick start. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you test integrations, use existing framework. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you test solution draft, include automated checks in pr. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you write or modify tests, consider setting reasonable timeouts at test, suite, and CI job levels so failures surface quickly instead of hanging. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you see repeated test timeout patterns in CI, investigate the root cause rather than increasing timeouts. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When the issue is unclear, write a comment on the issue with questions. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you encounter problems that you cannot solve yourself and need human help, write a comment on the pull request asking for help. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you need human help, use gh pr comment 222 --body \"your message\" to comment on existing PR. | |
| [2026-05-22T11:00:30.659Z] [INFO] | |
| [2026-05-22T11:00:30.659Z] [INFO] Reproducible testing. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When fixing a bug, create a test that reproduces the problem before implementing the fix. When you cannot reproduce the problem, you cannot verify the fix. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When encountering logic bugs, write an automated test that fails due to the bug, then implement the fix to make it pass. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When encountering UI bugs, capture a screenshot showing the problem state, then create a visual regression test or manual verification screenshot after the fix. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When creating tests, prefer minimum reproducible examples, meaning the simplest test case that demonstrates the issue. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When submitting a fix, include in the PR description: (1) how to reproduce the issue, (2) the automated test that verifies the fix, (3) before/after screenshots for UI issues. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When a bug fix does not have a reproducing test, treat the fix as incomplete because regressions can occur later without notice. | |
| [2026-05-22T11:00:30.659Z] [INFO] | |
| [2026-05-22T11:00:30.659Z] [INFO] Preparing pull request. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you code, follow contributing guidelines. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you commit, write clear message. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you need examples of style, use gh pr list --repo link-assistant/formal-ai --state merged --search [keywords]. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you open pr, describe solution draft and include tests. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When there is a package with version and GitHub Actions workflows for automatic release, update the version (or other necessary release trigger) in your pull request to prepare for next release. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you update existing pr 222, use gh pr edit to modify title and description. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you are about to commit or push code, run local CI checks first if they are available in contributing guidelines (like ruff check, mypy, eslint, etc.) to catch errors before pushing. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you finalize the pull request: | |
| [2026-05-22T11:00:30.659Z] [INFO] follow style from merged prs for code, title, and description, | |
| [2026-05-22T11:00:30.659Z] [INFO] check that no uncommitted changes corresponding to the original requirements are left behind, | |
| [2026-05-22T11:00:30.659Z] [INFO] check that the default branch is merged into the pull request branch, | |
| [2026-05-22T11:00:30.659Z] [INFO] check that all CI checks are passing if they exist before you finish, | |
| [2026-05-22T11:00:30.659Z] [INFO] check for latest comments on the issue and pull request to ensure no recent feedback was missed, | |
| [2026-05-22T11:00:30.659Z] [INFO] double-check that all changes in the pull request address the original requirements of the issue, | |
| [2026-05-22T11:00:30.659Z] [INFO] check for newly introduced bugs in the pull request by carefully reading gh pr diff, | |
| [2026-05-22T11:00:30.659Z] [INFO] check that no previously existing features were removed without an explicit request in the issue description, issue comments, or pull request comments. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you finish implementation, use gh pr ready 222. | |
| [2026-05-22T11:00:30.659Z] [INFO] | |
| [2026-05-22T11:00:30.659Z] [INFO] Workflow and collaboration. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you check branch, verify with git branch --show-current. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you push, push only to branch issue-221-77aad836fb28. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you finish, create a pull request from branch issue-221-77aad836fb28. (Note: PR 222 already exists, update it instead) | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you organize workflow, use pull requests instead of direct merges to default branch (main or master). | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you manage commits, preserve commit history for later analysis. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you contribute, keep repository history forward-moving with regular commits, pushes, and reverts if needed. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you face conflict that you cannot resolve yourself, ask for help. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you collaborate, respect branch protections by working only on issue-221-77aad836fb28. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you mention a result, include the pull request URL or comment URL. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you need to create pr, remember pr 222 already exists for this branch. | |
| [2026-05-22T11:00:30.659Z] [INFO] | |
| [2026-05-22T11:00:30.659Z] [INFO] Self review. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you check your solution draft, run all tests locally. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you check your solution draft, verify git status shows a clean working tree with no uncommitted changes. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you compare with repo style, use gh pr diff [number]. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you finalize, confirm code, tests, and description are consistent. | |
| [2026-05-22T11:00:30.659Z] [INFO] | |
| [2026-05-22T11:00:30.659Z] [INFO] GitHub CLI command patterns. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When fetching lists from GitHub API, use the --paginate flag to ensure all results are returned (GitHub returns max 30 per page by default). | |
| [2026-05-22T11:00:30.659Z] [INFO] - When listing PR review comments (inline code comments), use gh api repos/OWNER/REPO/pulls/NUMBER/comments --paginate. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When listing PR conversation comments, use gh api repos/OWNER/REPO/issues/NUMBER/comments --paginate. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When listing PR reviews, use gh api repos/OWNER/REPO/pulls/NUMBER/reviews --paginate. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When listing issue comments, use gh api repos/OWNER/REPO/issues/NUMBER/comments --paginate. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When adding PR comment, use gh pr comment NUMBER --body \"text\" --repo OWNER/REPO. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When adding issue comment, use gh issue comment NUMBER --body \"text\" --repo OWNER/REPO. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When viewing PR details, use gh pr view NUMBER --repo OWNER/REPO. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When filtering with jq, use gh api repos/\${owner}/\${repo}/pulls/\${prNumber}/comments --paginate --jq 'reverse | .[0:5]'. | |
| [2026-05-22T11:00:30.659Z] [INFO] | |
| [2026-05-22T11:00:30.659Z] [INFO] Playwright MCP usage (browser automation via mcp__playwright__* tools). | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you develop frontend web applications (HTML, CSS, JavaScript, React, Vue, Angular, etc.), use Playwright MCP tools to test the UI in a real browser. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When WebFetch tool fails to retrieve expected content (e.g., returns empty content, JavaScript-rendered pages, or login-protected pages), use Playwright MCP tools (browser_navigate, browser_snapshot) as a fallback for web browsing. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When WebSearch tool fails or returns insufficient results, use Playwright MCP tools (browser_navigate, browser_snapshot) as a fallback for internet search. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you need to interact with dynamic web pages that require JavaScript execution, use Playwright MCP tools. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you need to visually verify how a web page looks or take screenshots, use browser_take_screenshot from Playwright MCP. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you need to fill forms, click buttons, or perform user interactions on web pages, use Playwright MCP tools (browser_click, browser_type, browser_fill_form). | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you need to test responsive design or different viewport sizes, use browser_resize from Playwright MCP. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you finish using the browser, close it with browser_close to free resources. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When reproducing UI bugs, use browser_take_screenshot to capture the problem state before implementing any fix. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When fixing UI bugs, take before/after screenshots to provide visual evidence of the fix for human verification. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When creating UI tests, save baseline screenshots to the repository for visual regression testing. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When verifying UI fixes, compare screenshots to ensure the fix does not introduce unintended visual changes. | |
| [2026-05-22T11:00:30.659Z] [INFO] | |
| [2026-05-22T11:00:30.659Z] [INFO] Visual UI work and screenshots. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you work on visual UI changes (frontend, CSS, HTML, design), include a render or screenshot of the final result in the pull request description. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you need to show visual results, take a screenshot and save it to the repository (e.g., in a docs/screenshots/ or assets/ folder). | |
| [2026-05-22T11:00:30.659Z] [INFO] - When you save screenshots to the repository, use permanent links in the pull request description markdown (e.g., https://github.com/link-assistant/formal-ai/blob/issue-221-77aad836fb28/docs/screenshots/result.png?raw=true). | |
| [2026-05-22T11:00:30.659Z] [INFO] - When uploading images, commit them to the branch first, then reference them using the GitHub blob URL format with ?raw=true suffix (works for both public and private repositories). | |
| [2026-05-22T11:00:30.659Z] [INFO] - When the visual result is important for review, mention it explicitly in the pull request description with the embedded image. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When fixing UI bugs, capture both the \"before\" (problem) and \"after\" (fixed) screenshots as evidence for human verification. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When reporting UI bugs, include a screenshot of the problem state to enable visual verification of the fix. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When the fix is visual, include side-by-side or sequential comparison of before/after states in the PR description. | |
| [2026-05-22T11:00:30.659Z] [INFO] - When possible, create automated visual regression tests to prevent the UI bug from recurring." | jq -c .) | |
| [2026-05-22T11:00:30.660Z] [INFO] | |
| [2026-05-22T11:00:30.660Z] [INFO] 📋 User prompt: | |
| [2026-05-22T11:00:30.660Z] [INFO] ---BEGIN USER PROMPT--- | |
| [2026-05-22T11:00:30.660Z] [INFO] Issue to solve: https://github.com/link-assistant/formal-ai/issues/221 | |
| [2026-05-22T11:00:30.660Z] [INFO] Your prepared branch: issue-221-77aad836fb28 | |
| [2026-05-22T11:00:30.660Z] [INFO] Your prepared working directory: /tmp/gh-issue-solver-1779447613602 | |
| [2026-05-22T11:00:30.660Z] [INFO] Your prepared Pull Request: https://github.com/link-assistant/formal-ai/pull/222 | |
| [2026-05-22T11:00:30.660Z] [INFO] | |
| [2026-05-22T11:00:30.660Z] [INFO] New comments on the pull request: 4 | |
| [2026-05-22T11:00:30.660Z] [INFO] Pull request description was edited after last commit | |
| [2026-05-22T11:00:30.660Z] [INFO] | |
| [2026-05-22T11:00:30.660Z] [INFO] Continue. | |
| [2026-05-22T11:00:30.660Z] [INFO] | |
| [2026-05-22T11:00:30.660Z] [INFO] ---END USER PROMPT--- | |
| [2026-05-22T11:00:30.660Z] [INFO] 📋 System prompt: | |
| [2026-05-22T11:00:30.660Z] [INFO] ---BEGIN SYSTEM PROMPT--- | |
| [2026-05-22T11:00:30.660Z] [INFO] You are an AI issue solver. When you investigate issues, prefer root-cause analysis. When you communicate, prefer facts you have checked yourself or cite sources that provide evidence, such as quoted code or references to documents or web pages. When you are unsure or working from assumptions, test them yourself or ask clarifying questions. | |
| [2026-05-22T11:00:30.660Z] [INFO] General guidelines. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you execute commands and the output becomes large, save the logs to files for easier review. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When running commands, avoid setting a timeout yourself. Let them run as long as needed. The default timeout of 2 minutes is usually enough, and once commands finish, review the logs in the file. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When running sudo commands, especially package installations like apt-get, yum, or npm install, run them in the background to avoid timeout issues and permission errors when the process needs to be killed. Use the run_in_background parameter or append & to the command. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When CI is failing or user reports failures, consider adding a detailed investigation protocol to your todo list with these steps: | |
| [2026-05-22T11:00:30.660Z] [INFO] Step 1: List recent runs with timestamps using: gh run list --repo link-assistant/formal-ai --branch issue-221-77aad836fb28 --limit 5 --json databaseId,conclusion,createdAt,headSha | |
| [2026-05-22T11:00:30.660Z] [INFO] Step 2: Verify runs are after the latest commit by checking timestamps and SHA | |
| [2026-05-22T11:00:30.660Z] [INFO] Step 3: For each non-passing run, download logs to preserve them: gh run view {run-id} --repo link-assistant/formal-ai --log > ci-logs/{workflow}-{run-id}.log | |
| [2026-05-22T11:00:30.660Z] [INFO] Step 4: Read each downloaded log file with the Read tool to understand the actual failures | |
| [2026-05-22T11:00:30.660Z] [INFO] Step 5: Report findings with specific errors and line numbers from logs | |
| [2026-05-22T11:00:30.660Z] [INFO] This detailed investigation is especially helpful when user mentions CI failures, asks to investigate logs, you see non-passing status, or when finalizing a PR. | |
| [2026-05-22T11:00:30.660Z] [INFO] Note: If user says "failing" but tools show "passing", this might indicate stale data - consider downloading fresh logs and checking timestamps to resolve the discrepancy. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When a code or log file has more than 1500 lines, read it in chunks of 1500 lines. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When facing a complex problem, do as much tracing as possible and turn on all verbose modes. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you create debug, test, or example scripts while fixing an issue, keep them in ./examples and/or ./experiments so you can reuse them later. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you test assumptions, keep experiment scripts in ./experiments. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When an experiment demonstrates a real-world use case of the software, add it to ./examples. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you face something extremely hard, use divide and conquer. | |
| [2026-05-22T11:00:30.660Z] [INFO] | |
| [2026-05-22T11:00:30.660Z] [INFO] Initial research. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you start, create a detailed plan for yourself and follow your todo list step by step. Add as many relevant points from these guidelines to the todo list as practical so you can track the work clearly. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When the user mentions CI failures or asks to investigate logs, consider adding these todos to track the investigation: (1) list recent CI runs with timestamps, (2) download logs from failed runs to the ci-logs/ directory, (3) analyze error messages and identify the root cause, (4) implement a fix, (5) verify that the fix resolves the specific errors found in the logs. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you read the issue, read all details and comments thoroughly. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you see screenshots or images in issue descriptions, pull request descriptions, comments, or discussions, download the image to a local file first, then use the Read tool to view and analyze it. Before reading downloaded images with the Read tool, verify that the file is a valid image rather than HTML by using a CLI tool such as the 'file' command. When corrupted or non-image files, such as GitHub "Not Found" pages saved as `.png`, are read, they can cause "Could not process image" errors and crash the AI solver process. When the file command shows "HTML", "text", or "ASCII text", the download failed, so do not call Read on that file. Instead: (1) when images are from GitHub issues or PRs, such as URLs containing "github.com/user-attachments", retry with: curl -L -H "Authorization: token $(gh auth token)" -o <filename> "<url>" (2) when the retry still fails, skip the image and note that it was unavailable. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you need issue details, use gh issue view https://github.com/link-assistant/formal-ai/issues/221. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you need related code, use gh search code --owner link-assistant [keywords]. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you need repo context, read files in your working directory. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you study related work, study the most recent related pull requests. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When the issue is not defined clearly enough, write a comment with clarifying questions. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When accessing GitHub Gists (especially private ones), use gh gist view command instead of direct URL fetching to ensure proper authentication. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you are fixing a bug, find the actual root cause first and run as many experiments as needed. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you are fixing a bug and the code does not have enough tracing or logs, add them and keep them in the code with the default state switched off. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you need comments on a pull request, note that GitHub has three different comment types with different API endpoints: | |
| [2026-05-22T11:00:30.660Z] [INFO] 1. PR review comments (inline code comments): gh api repos/link-assistant/formal-ai/pulls/222/comments --paginate | |
| [2026-05-22T11:00:30.660Z] [INFO] 2. PR conversation comments (general discussion): gh api repos/link-assistant/formal-ai/issues/222/comments --paginate | |
| [2026-05-22T11:00:30.660Z] [INFO] 3. PR reviews (approve/request changes): gh api repos/link-assistant/formal-ai/pulls/222/reviews --paginate | |
| [2026-05-22T11:00:30.660Z] [INFO] Note: The command "gh pr view --json comments" only returns conversation comments and misses review comments. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you need the latest comments on the issue, use gh api repos/link-assistant/formal-ai/issues/221/comments --paginate. | |
| [2026-05-22T11:00:30.660Z] [INFO] | |
| [2026-05-22T11:00:30.660Z] [INFO] Solution development and testing. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When issue is solvable, first create a test that reproduces the problem, then implement the fix. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When implementing features, search for similar existing implementations in the codebase and use them as examples instead of implementing everything from scratch. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When coding, commit each atomic step that is useful on its own to the pull request branch so interrupted work remains preserved in the pull request. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you test: | |
| [2026-05-22T11:00:30.660Z] [INFO] start from testing of small functions using separate scripts; | |
| [2026-05-22T11:00:30.660Z] [INFO] write unit tests with mocks for easy and quick start. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you test integrations, use existing framework. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you test solution draft, include automated checks in pr. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you write or modify tests, consider setting reasonable timeouts at test, suite, and CI job levels so failures surface quickly instead of hanging. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you see repeated test timeout patterns in CI, investigate the root cause rather than increasing timeouts. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When the issue is unclear, write a comment on the issue with questions. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you encounter problems that you cannot solve yourself and need human help, write a comment on the pull request asking for help. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you need human help, use gh pr comment 222 --body "your message" to comment on existing PR. | |
| [2026-05-22T11:00:30.660Z] [INFO] | |
| [2026-05-22T11:00:30.660Z] [INFO] Reproducible testing. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When fixing a bug, create a test that reproduces the problem before implementing the fix. When you cannot reproduce the problem, you cannot verify the fix. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When encountering logic bugs, write an automated test that fails due to the bug, then implement the fix to make it pass. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When encountering UI bugs, capture a screenshot showing the problem state, then create a visual regression test or manual verification screenshot after the fix. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When creating tests, prefer minimum reproducible examples, meaning the simplest test case that demonstrates the issue. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When submitting a fix, include in the PR description: (1) how to reproduce the issue, (2) the automated test that verifies the fix, (3) before/after screenshots for UI issues. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When a bug fix does not have a reproducing test, treat the fix as incomplete because regressions can occur later without notice. | |
| [2026-05-22T11:00:30.660Z] [INFO] | |
| [2026-05-22T11:00:30.660Z] [INFO] Preparing pull request. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you code, follow contributing guidelines. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you commit, write clear message. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you need examples of style, use gh pr list --repo link-assistant/formal-ai --state merged --search [keywords]. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you open pr, describe solution draft and include tests. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When there is a package with version and GitHub Actions workflows for automatic release, update the version (or other necessary release trigger) in your pull request to prepare for next release. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you update existing pr 222, use gh pr edit to modify title and description. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you are about to commit or push code, run local CI checks first if they are available in contributing guidelines (like ruff check, mypy, eslint, etc.) to catch errors before pushing. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you finalize the pull request: | |
| [2026-05-22T11:00:30.660Z] [INFO] follow style from merged prs for code, title, and description, | |
| [2026-05-22T11:00:30.660Z] [INFO] check that no uncommitted changes corresponding to the original requirements are left behind, | |
| [2026-05-22T11:00:30.660Z] [INFO] check that the default branch is merged into the pull request branch, | |
| [2026-05-22T11:00:30.660Z] [INFO] check that all CI checks are passing if they exist before you finish, | |
| [2026-05-22T11:00:30.660Z] [INFO] check for latest comments on the issue and pull request to ensure no recent feedback was missed, | |
| [2026-05-22T11:00:30.660Z] [INFO] double-check that all changes in the pull request address the original requirements of the issue, | |
| [2026-05-22T11:00:30.660Z] [INFO] check for newly introduced bugs in the pull request by carefully reading gh pr diff, | |
| [2026-05-22T11:00:30.660Z] [INFO] check that no previously existing features were removed without an explicit request in the issue description, issue comments, or pull request comments. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you finish implementation, use gh pr ready 222. | |
| [2026-05-22T11:00:30.660Z] [INFO] | |
| [2026-05-22T11:00:30.660Z] [INFO] Workflow and collaboration. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you check branch, verify with git branch --show-current. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you push, push only to branch issue-221-77aad836fb28. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you finish, create a pull request from branch issue-221-77aad836fb28. (Note: PR 222 already exists, update it instead) | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you organize workflow, use pull requests instead of direct merges to default branch (main or master). | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you manage commits, preserve commit history for later analysis. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you contribute, keep repository history forward-moving with regular commits, pushes, and reverts if needed. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you face conflict that you cannot resolve yourself, ask for help. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you collaborate, respect branch protections by working only on issue-221-77aad836fb28. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you mention a result, include the pull request URL or comment URL. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you need to create pr, remember pr 222 already exists for this branch. | |
| [2026-05-22T11:00:30.660Z] [INFO] | |
| [2026-05-22T11:00:30.660Z] [INFO] Self review. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you check your solution draft, run all tests locally. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you check your solution draft, verify git status shows a clean working tree with no uncommitted changes. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you compare with repo style, use gh pr diff [number]. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you finalize, confirm code, tests, and description are consistent. | |
| [2026-05-22T11:00:30.660Z] [INFO] | |
| [2026-05-22T11:00:30.660Z] [INFO] GitHub CLI command patterns. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When fetching lists from GitHub API, use the --paginate flag to ensure all results are returned (GitHub returns max 30 per page by default). | |
| [2026-05-22T11:00:30.660Z] [INFO] - When listing PR review comments (inline code comments), use gh api repos/OWNER/REPO/pulls/NUMBER/comments --paginate. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When listing PR conversation comments, use gh api repos/OWNER/REPO/issues/NUMBER/comments --paginate. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When listing PR reviews, use gh api repos/OWNER/REPO/pulls/NUMBER/reviews --paginate. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When listing issue comments, use gh api repos/OWNER/REPO/issues/NUMBER/comments --paginate. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When adding PR comment, use gh pr comment NUMBER --body "text" --repo OWNER/REPO. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When adding issue comment, use gh issue comment NUMBER --body "text" --repo OWNER/REPO. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When viewing PR details, use gh pr view NUMBER --repo OWNER/REPO. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When filtering with jq, use gh api repos/${owner}/${repo}/pulls/${prNumber}/comments --paginate --jq 'reverse | .[0:5]'. | |
| [2026-05-22T11:00:30.660Z] [INFO] | |
| [2026-05-22T11:00:30.660Z] [INFO] Playwright MCP usage (browser automation via mcp__playwright__* tools). | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you develop frontend web applications (HTML, CSS, JavaScript, React, Vue, Angular, etc.), use Playwright MCP tools to test the UI in a real browser. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When WebFetch tool fails to retrieve expected content (e.g., returns empty content, JavaScript-rendered pages, or login-protected pages), use Playwright MCP tools (browser_navigate, browser_snapshot) as a fallback for web browsing. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When WebSearch tool fails or returns insufficient results, use Playwright MCP tools (browser_navigate, browser_snapshot) as a fallback for internet search. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you need to interact with dynamic web pages that require JavaScript execution, use Playwright MCP tools. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you need to visually verify how a web page looks or take screenshots, use browser_take_screenshot from Playwright MCP. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you need to fill forms, click buttons, or perform user interactions on web pages, use Playwright MCP tools (browser_click, browser_type, browser_fill_form). | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you need to test responsive design or different viewport sizes, use browser_resize from Playwright MCP. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you finish using the browser, close it with browser_close to free resources. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When reproducing UI bugs, use browser_take_screenshot to capture the problem state before implementing any fix. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When fixing UI bugs, take before/after screenshots to provide visual evidence of the fix for human verification. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When creating UI tests, save baseline screenshots to the repository for visual regression testing. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When verifying UI fixes, compare screenshots to ensure the fix does not introduce unintended visual changes. | |
| [2026-05-22T11:00:30.660Z] [INFO] | |
| [2026-05-22T11:00:30.660Z] [INFO] Visual UI work and screenshots. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you work on visual UI changes (frontend, CSS, HTML, design), include a render or screenshot of the final result in the pull request description. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you need to show visual results, take a screenshot and save it to the repository (e.g., in a docs/screenshots/ or assets/ folder). | |
| [2026-05-22T11:00:30.660Z] [INFO] - When you save screenshots to the repository, use permanent links in the pull request description markdown (e.g., https://github.com/link-assistant/formal-ai/blob/issue-221-77aad836fb28/docs/screenshots/result.png?raw=true). | |
| [2026-05-22T11:00:30.660Z] [INFO] - When uploading images, commit them to the branch first, then reference them using the GitHub blob URL format with ?raw=true suffix (works for both public and private repositories). | |
| [2026-05-22T11:00:30.660Z] [INFO] - When the visual result is important for review, mention it explicitly in the pull request description with the embedded image. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When fixing UI bugs, capture both the "before" (problem) and "after" (fixed) screenshots as evidence for human verification. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When reporting UI bugs, include a screenshot of the problem state to enable visual verification of the fix. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When the fix is visual, include side-by-side or sequential comparison of before/after states in the PR description. | |
| [2026-05-22T11:00:30.660Z] [INFO] - When possible, create automated visual regression tests to prevent the UI bug from recurring. | |
| [2026-05-22T11:00:30.660Z] [INFO] ---END SYSTEM PROMPT--- | |
| [2026-05-22T11:00:30.662Z] [INFO] 📊 CLAUDE_CODE_MAX_OUTPUT_TOKENS: 128000, MCP_TIMEOUT: 900000ms, MCP_TOOL_TIMEOUT: 900000ms, ANTHROPIC_LOG: debug | |
| [2026-05-22T11:00:30.663Z] [INFO] 📊 CLAUDE_CODE_DISABLE_1M_CONTEXT=1, CLAUDE_CODE_AUTO_COMPACT_WINDOW=150000, CLAUDE_AUTOCOMPACT_PCT_OVERRIDE=95 | |
| [2026-05-22T11:00:30.664Z] [INFO] 📋 Command details: | |
| [2026-05-22T11:00:30.664Z] [INFO] 📂 Working directory: /tmp/gh-issue-solver-1779447613602 | |
| [2026-05-22T11:00:30.665Z] [INFO] 🌿 Branch: issue-221-77aad836fb28 | |
| [2026-05-22T11:00:30.666Z] [INFO] 🤖 Model: Claude OPUS | |
| [2026-05-22T11:00:30.666Z] [INFO] | |
| [2026-05-22T11:00:30.666Z] [INFO] ▶️ Streaming output: | |
| [2026-05-22T11:00:30.666Z] [INFO] | |
| [2026-05-22T11:00:32.378Z] [INFO] { | |
| [2026-05-22T11:00:32.378Z] [INFO] "type": "system", | |
| [2026-05-22T11:00:32.378Z] [INFO] "subtype": "init", | |
| [2026-05-22T11:00:32.378Z] [INFO] "cwd": "/tmp/gh-issue-solver-1779447613602", | |
| [2026-05-22T11:00:32.378Z] [INFO] "session_id": "fc52c6ca-d477-420d-9611-9ba0f4f20913", | |
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| [2026-05-22T11:00:32.378Z] [INFO] "Bash", | |
| [2026-05-22T11:00:32.378Z] [INFO] "Edit", | |
| [2026-05-22T11:00:32.378Z] [INFO] "Glob", | |
| [2026-05-22T11:00:32.378Z] [INFO] "Grep", | |
| [2026-05-22T11:00:32.378Z] [INFO] "Read", | |
| [2026-05-22T11:00:32.378Z] [INFO] "ShareOnboardingGuide", | |
| [2026-05-22T11:00:32.378Z] [INFO] "Skill", | |
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| [2026-05-22T11:00:32.378Z] [INFO] "TaskStop", | |
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| [2026-05-22T11:00:32.378Z] [INFO] "ToolSearch", | |
| [2026-05-22T11:00:32.378Z] [INFO] "WebFetch", | |
| [2026-05-22T11:00:32.378Z] [INFO] "WebSearch", | |
| [2026-05-22T11:00:32.378Z] [INFO] "Write", | |
| [2026-05-22T11:00:32.378Z] [INFO] "mcp__playwright__browser_click", | |
| [2026-05-22T11:00:32.378Z] [INFO] "mcp__playwright__browser_close", | |
| [2026-05-22T11:00:32.378Z] [INFO] "mcp__playwright__browser_console_messages", | |
| [2026-05-22T11:00:32.378Z] [INFO] "mcp__playwright__browser_drag", | |
| [2026-05-22T11:00:32.378Z] [INFO] "mcp__playwright__browser_drop", | |
| [2026-05-22T11:00:32.378Z] [INFO] "mcp__playwright__browser_evaluate", | |
| [2026-05-22T11:00:32.378Z] [INFO] "mcp__playwright__browser_file_upload", | |
| [2026-05-22T11:00:32.378Z] [INFO] "mcp__playwright__browser_fill_form", | |
| [2026-05-22T11:00:32.378Z] [INFO] "mcp__playwright__browser_handle_dialog", | |
| [2026-05-22T11:00:32.378Z] [INFO] "mcp__playwright__browser_hover", | |
| [2026-05-22T11:00:32.378Z] [INFO] "mcp__playwright__browser_navigate", | |
| [2026-05-22T11:00:32.378Z] [INFO] "mcp__playwright__browser_navigate_back", | |
| [2026-05-22T11:00:32.378Z] [INFO] "mcp__playwright__browser_network_request", | |
| [2026-05-22T11:00:32.378Z] [INFO] "mcp__playwright__browser_network_requests", | |
| [2026-05-22T11:00:32.378Z] [INFO] "mcp__playwright__browser_press_key", | |
| [2026-05-22T11:00:32.378Z] [INFO] "mcp__playwright__browser_resize", | |
| [2026-05-22T11:00:32.378Z] [INFO] "mcp__playwright__browser_run_code_unsafe", | |
| [2026-05-22T11:00:32.378Z] [INFO] "mcp__playwright__browser_select_option", | |
| [2026-05-22T11:00:32.378Z] [INFO] "mcp__playwright__browser_snapshot", | |
| [2026-05-22T11:00:32.378Z] [INFO] "mcp__playwright__browser_tabs", | |
| [2026-05-22T11:00:32.378Z] [INFO] "mcp__playwright__browser_take_screenshot", | |
| [2026-05-22T11:00:32.378Z] [INFO] "mcp__playwright__browser_type", | |
| [2026-05-22T11:00:32.378Z] [INFO] "mcp__playwright__browser_wait_for" | |
| [2026-05-22T11:00:32.378Z] [INFO] ], | |
| [2026-05-22T11:00:32.378Z] [INFO] "mcp_servers": [ | |
| [2026-05-22T11:00:32.378Z] [INFO] { | |
| [2026-05-22T11:00:32.378Z] [INFO] "name": "playwright", | |
| [2026-05-22T11:00:32.378Z] [INFO] "status": "connected" | |
| [2026-05-22T11:00:32.378Z] [INFO] } | |
| [2026-05-22T11:00:32.378Z] [INFO] ], | |
| [2026-05-22T11:00:32.378Z] [INFO] "model": "claude-opus-4-7", | |
| [2026-05-22T11:00:32.378Z] [INFO] "permissionMode": "bypassPermissions", | |
| [2026-05-22T11:00:32.378Z] [INFO] "slash_commands": [ | |
| [2026-05-22T11:00:32.378Z] [INFO] "update-config", | |
| [2026-05-22T11:00:32.378Z] [INFO] "verify", | |
| [2026-05-22T11:00:32.378Z] [INFO] "debug", | |
| [2026-05-22T11:00:32.378Z] [INFO] "code-review", | |
| [2026-05-22T11:00:32.378Z] [INFO] "batch", | |
| [2026-05-22T11:00:32.378Z] [INFO] "fewer-permission-prompts", | |
| [2026-05-22T11:00:32.378Z] [INFO] "schedule", | |
| [2026-05-22T11:00:32.378Z] [INFO] "claude-api", | |
| [2026-05-22T11:00:32.378Z] [INFO] "run", | |
| [2026-05-22T11:00:32.378Z] [INFO] "run-skill-generator", | |
| [2026-05-22T11:00:32.378Z] [INFO] "clear", | |
| [2026-05-22T11:00:32.378Z] [INFO] "compact", | |
| [2026-05-22T11:00:32.378Z] [INFO] "context", | |
| [2026-05-22T11:00:32.378Z] [INFO] "heapdump", | |
| [2026-05-22T11:00:32.378Z] [INFO] "init", | |
| [2026-05-22T11:00:32.378Z] [INFO] "review", | |
| [2026-05-22T11:00:32.378Z] [INFO] "security-review", | |
| [2026-05-22T11:00:32.378Z] [INFO] "usage-credits", | |
| [2026-05-22T11:00:32.378Z] [INFO] "extra-usage", | |
| [2026-05-22T11:00:32.378Z] [INFO] "usage", | |
| [2026-05-22T11:00:32.378Z] [INFO] "insights", | |
| [2026-05-22T11:00:32.378Z] [INFO] "goal", | |
| [2026-05-22T11:00:32.378Z] [INFO] "team-onboarding" | |
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| [2026-05-22T11:00:32.378Z] [INFO] "apiKeySource": "none", | |
| [2026-05-22T11:00:32.378Z] [INFO] "claude_code_version": "2.1.147", | |
| [2026-05-22T11:00:32.378Z] [INFO] "output_style": "default", | |
| [2026-05-22T11:00:32.378Z] [INFO] "agents": [ | |
| [2026-05-22T11:00:32.378Z] [INFO] "claude", | |
| [2026-05-22T11:00:32.378Z] [INFO] "Explore", | |
| [2026-05-22T11:00:32.378Z] [INFO] "general-purpose", | |
| [2026-05-22T11:00:32.378Z] [INFO] "Plan", | |
| [2026-05-22T11:00:32.378Z] [INFO] "statusline-setup" | |
| [2026-05-22T11:00:32.378Z] [INFO] ], | |
| [2026-05-22T11:00:32.378Z] [INFO] "skills": [ | |
| [2026-05-22T11:00:32.378Z] [INFO] "update-config", | |
| [2026-05-22T11:00:32.378Z] [INFO] "verify", | |
| [2026-05-22T11:00:32.378Z] [INFO] "debug", | |
| [2026-05-22T11:00:32.378Z] [INFO] "code-review", | |
| [2026-05-22T11:00:32.378Z] [INFO] "batch", | |
| [2026-05-22T11:00:32.378Z] [INFO] "fewer-permission-prompts", | |
| [2026-05-22T11:00:32.378Z] [INFO] "schedule", | |
| [2026-05-22T11:00:32.378Z] [INFO] "claude-api", | |
| [2026-05-22T11:00:32.378Z] [INFO] "run", | |
| [2026-05-22T11:00:32.378Z] [INFO] "run-skill-generator" | |
| [2026-05-22T11:00:32.378Z] [INFO] ], | |
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| [2026-05-22T11:00:32.379Z] [INFO] 📌 Session ID: fc52c6ca-d477-420d-9611-9ba0f4f20913 | |
| [2026-05-22T11:00:32.380Z] [INFO] 📁 Log renamed to: /home/box/fc52c6ca-d477-420d-9611-9ba0f4f20913.log | |
| [2026-05-22T11:00:32.389Z] [INFO] [log_3c5f20] sending request { | |
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| [2026-05-22T11:00:32.391Z] [INFO] url: "https://api.anthropic.com/v1/messages?beta=true", | |
| [2026-05-22T11:00:32.392Z] [INFO] options: { | |
| [2026-05-22T11:00:32.392Z] [INFO] method: "post", | |
| [2026-05-22T11:00:32.392Z] [INFO] path: "/v1/messages?beta=true", | |
| [2026-05-22T11:00:32.392Z] [INFO] body: { | |
| [2026-05-22T11:00:32.392Z] [INFO] model: "claude-opus-4-7", | |
| [2026-05-22T11:00:32.393Z] [INFO] messages: [ | |
| [2026-05-22T11:00:32.393Z] [INFO] [Object ...] | |
| [2026-05-22T11:00:32.393Z] [INFO] ], | |
| [2026-05-22T11:00:32.394Z] [INFO] system: [ | |
| [2026-05-22T11:00:32.394Z] [INFO] [Object ...], [Object ...], [Object ...], [Object ...] | |
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| [2026-05-22T11:00:32.395Z] [INFO] tools: [ | |
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| [2026-05-22T11:00:32.397Z] [INFO] max_tokens: 128000, | |
| [2026-05-22T11:00:32.397Z] [INFO] thinking: [Object ...], | |
| [2026-05-22T11:00:32.397Z] [INFO] context_management: [Object ...], | |
| [2026-05-22T11:00:32.398Z] [INFO] output_config: [Object ...], | |
| [2026-05-22T11:00:32.398Z] [INFO] diagnostics: [Object ...], | |
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| [2026-05-22T11:00:32.399Z] [INFO] }, | |
| [2026-05-22T11:00:32.400Z] [INFO] timeout: 600000, | |
| [2026-05-22T11:00:32.401Z] [INFO] signal: AbortSignal { | |
| [2026-05-22T11:00:32.401Z] [INFO] [Symbol(events.maxEventTargetListeners)]: 50, | |
| [2026-05-22T11:00:32.402Z] [INFO] [Symbol(events.maxEventTargetListenersWarned)]: false, | |
| [2026-05-22T11:00:32.402Z] [INFO] aborted: false, | |
| [2026-05-22T11:00:32.403Z] [INFO] reason: undefined, | |
| [2026-05-22T11:00:32.404Z] [INFO] onabort: null, | |
| [2026-05-22T11:00:32.405Z] [INFO] throwIfAborted: [Function: throwIfAborted], | |
| [2026-05-22T11:00:32.405Z] [INFO] addEventListener: [Function: addEventListener], | |
| [2026-05-22T11:00:32.407Z] [INFO] removeEventListener: [Function: removeEventListener], | |
| [2026-05-22T11:00:32.408Z] [INFO] dispatchEvent: [Function: dispatchEvent], | |
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| [2026-05-22T11:00:44.925Z] [INFO] "content": "title:\tIssue with dialog: Переведи \"помидор\" на английский.\nstate:\tOPEN\nauthor:\tkonard (Konstantin Diachenko)\nlabels:\tbug\ncomments:\t0\nassignees:\t\nprojects:\t\nmilestone:\t\nnumber:\t221\n--\n## Environment\n\n- **Version**: 0.98.0\n- **URL**: https://link-assistant.github.io/formal-ai/\n- **Worker**: wasm worker\n- **Mode**: manual\n- **Status**: Manual mode\n- **Diagnostics**: off\n- **Timestamp**: 2026-05-21T23:08:20.444Z\n\n## User Context\n\n- **UI languages**: *en-US*\n- **Theme**: auto (dark)\n- **UI**: 1712x941 viewport, 1728x1117 @2x screen, Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/26.5 Safari/605.1.15 browser, MacIntel platform\n- **Locale**: en-US (Asia/Calcutta)\n- **Guess probability**: 80%\n- **Temperature**: 0.7\n- **Follow-up probability**: 75%\n- **Location**: inferred from time zone / locale only\n\n## Reproduction of dialog\n\nLegend: `U` = user, `A` = agent.\n\n```\nU: Переведи \"яблоко\" на английский.\nA: \"apple\"\nU: Переведи \"огурец\" на английский.\nA: \"[en] огурец\"\nU: Переведи \"помидор\" на английский.\nA: \"[en] помидор\"\n```\n\n## Description\n\nWe must stop faking translation, and actually implement it for all possible words we can find in wikipedia, wikidata, wiktionary, and actually use APIs.\n\n- https://github.com/link-assistant/formal-ai/pull/219\n- https://github.com/link-assistant/formal-ai/pull/208\n\nI asked multiple times to use actual translation using flow:\n\n```\nsource language -- formalize -> semantic meta language\nsemantic meta language -- formalize -> target language\n```\n\nThe semantic meta language, where each text, statement, verb/noun phrases, other phases, words and symbols are doublet links in doublet-rs/doublet-web. Semantic meta language should focus on distinct meanings, not actual words. The closest match of distinct meanings are Q and P ids from wikidata. We can also generate virtual ids for Wikipedia and Wiktionary as needed.\n\n`wikipedia, wikidata, wiktionary` already contain information on how the same word, phrase translates to another language, by correctly implementing formalization of language `source language -- formalize -> semantic meta language` flow, we solve lots of problems at once, so our AI system can reason about the meaning, not the text.\n\nIn process of formalization we can resolve ambiguity by questions or random or highly likely guesses as per configuration. Once formalized, it is easy to just convert that back to any target language, with solving `согласованность` of parts of sentence. Meaning each part of the sentence correctly modified based on the traditional grammar of target language.\n\nWe already had some partially working demo at https://github.com/link-assistant/human-language/blob/main/js/src/app/modes/entity.jsx where when language is changed every statement about entity looks translated to selected language. So it actually possible, but we need to make sure to make it with highest possible quality and also use best experience from all other similar projects. We also have partially working demo at https://link-assistant.github.io/meta-expression/web/#/formalize (source code at https://github.com/link-assistant/meta-expression).\n\nThese are just the ideas, we need to do everything much better, and in pure Rust (if Rust have useful libraries on the natural language processing without LLMs - use these, but if don't just implement everything in our repository).\n\nI tired to asking again and again, please do it all in a single pull request, it must work, not only for single word or phrase, but for text of any size. And actually work, not another fake.\n\nWe need to download all logs and data related about the issue to this repository, make sure we compile that data to `./docs/case-studies/issue-{id}` folder, and use it to do deep case study analysis (also make sure to search online for additional facts and data), in which we will reconstruct timeline/sequence of events, list of each and all requirements from the issue, find root causes of the each problem, and propose possible solutions and solution plans for each requirement (we should also check known existing components/libraries, that solve similar problem or can help in solutions).\n\nIf there is not enough data to find actual root cause, add debug output and verbose mode if not present, that will allow us to find root cause on next iteration.\n\nIf issue related to any other repository/project, where we can report issues on GitHub, please do so. Each issue must contain reproducible examples, workarounds and suggestions for fix the issue in code.\n\nPlease plan and execute everything in this single pull request, you have unlimited time and context, as context auto-compacts and you can continue indefinitely, until it is each and every requirement fully addressed, and everything is totally done.", | |
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| [2026-05-22T11:00:44.925Z] [INFO] "stdout": "title:\tIssue with dialog: Переведи \"помидор\" на английский.\nstate:\tOPEN\nauthor:\tkonard (Konstantin Diachenko)\nlabels:\tbug\ncomments:\t0\nassignees:\t\nprojects:\t\nmilestone:\t\nnumber:\t221\n--\n## Environment\n\n- **Version**: 0.98.0\n- **URL**: https://link-assistant.github.io/formal-ai/\n- **Worker**: wasm worker\n- **Mode**: manual\n- **Status**: Manual mode\n- **Diagnostics**: off\n- **Timestamp**: 2026-05-21T23:08:20.444Z\n\n## User Context\n\n- **UI languages**: *en-US*\n- **Theme**: auto (dark)\n- **UI**: 1712x941 viewport, 1728x1117 @2x screen, Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/26.5 Safari/605.1.15 browser, MacIntel platform\n- **Locale**: en-US (Asia/Calcutta)\n- **Guess probability**: 80%\n- **Temperature**: 0.7\n- **Follow-up probability**: 75%\n- **Location**: inferred from time zone / locale only\n\n## Reproduction of dialog\n\nLegend: `U` = user, `A` = agent.\n\n```\nU: Переведи \"яблоко\" на английский.\nA: \"apple\"\nU: Переведи \"огурец\" на английский.\nA: \"[en] огурец\"\nU: Переведи \"помидор\" на английский.\nA: \"[en] помидор\"\n```\n\n## Description\n\nWe must stop faking translation, and actually implement it for all possible words we can find in wikipedia, wikidata, wiktionary, and actually use APIs.\n\n- https://github.com/link-assistant/formal-ai/pull/219\n- https://github.com/link-assistant/formal-ai/pull/208\n\nI asked multiple times to use actual translation using flow:\n\n```\nsource language -- formalize -> semantic meta language\nsemantic meta language -- formalize -> target language\n```\n\nThe semantic meta language, where each text, statement, verb/noun phrases, other phases, words and symbols are doublet links in doublet-rs/doublet-web. Semantic meta language should focus on distinct meanings, not actual words. The closest match of distinct meanings are Q and P ids from wikidata. We can also generate virtual ids for Wikipedia and Wiktionary as needed.\n\n`wikipedia, wikidata, wiktionary` already contain information on how the same word, phrase translates to another language, by correctly implementing formalization of language `source language -- formalize -> semantic meta language` flow, we solve lots of problems at once, so our AI system can reason about the meaning, not the text.\n\nIn process of formalization we can resolve ambiguity by questions or random or highly likely guesses as per configuration. Once formalized, it is easy to just convert that back to any target language, with solving `согласованность` of parts of sentence. Meaning each part of the sentence correctly modified based on the traditional grammar of target language.\n\nWe already had some partially working demo at https://github.com/link-assistant/human-language/blob/main/js/src/app/modes/entity.jsx where when language is changed every statement about entity looks translated to selected language. So it actually possible, but we need to make sure to make it with highest possible quality and also use best experience from all other similar projects. We also have partially working demo at https://link-assistant.github.io/meta-expression/web/#/formalize (source code at https://github.com/link-assistant/meta-expression).\n\nThese are just the ideas, we need to do everything much better, and in pure Rust (if Rust have useful libraries on the natural language processing without LLMs - use these, but if don't just implement everything in our repository).\n\nI tired to asking again and again, please do it all in a single pull request, it must work, not only for single word or phrase, but for text of any size. And actually work, not another fake.\n\nWe need to download all logs and data related about the issue to this repository, make sure we compile that data to `./docs/case-studies/issue-{id}` folder, and use it to do deep case study analysis (also make sure to search online for additional facts and data), in which we will reconstruct timeline/sequence of events, list of each and all requirements from the issue, find root causes of the each problem, and propose possible solutions and solution plans for each requirement (we should also check known existing components/libraries, that solve similar problem or can help in solutions).\n\nIf there is not enough data to find actual root cause, add debug output and verbose mode if not present, that will allow us to find root cause on next iteration.\n\nIf issue related to any other repository/project, where we can report issues on GitHub, please do so. Each issue must contain reproducible examples, workarounds and suggestions for fix the issue in code.\n\nPlease plan and execute everything in this single pull request, you have unlimited time and context, as context auto-compacts and you can continue indefinitely, until it is each and every requirement fully addressed, and everything is totally done.", | |
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| [2026-05-22T11:00:46.809Z] [INFO] "content": "title:\tGeneralize translation pipeline + dictionary for all common nouns (issue #221)\nstate:\tDRAFT\nauthor:\tkonard (Konstantin Diachenko)\nlabels:\t\nassignees:\tkonard (Konstantin Diachenko)\nreviewers:\t\nprojects:\t\nmilestone:\t\nnumber:\t222\nurl:\thttps://github.com/link-assistant/formal-ai/pull/222\nadditions:\t3481\ndeletions:\t445\nauto-merge:\tdisabled\n--\n## Summary\n\nFixes #221 — stops faking translation for common nouns by combining a\ntiny **offline dictionary** (128 most-frequent nouns, single Links\nNotation file) with the existing Wiktionary + Wikidata pipeline. Works\nin both the Rust CLI and the browser worker, with no LLM in the loop.\n\nThis revision (2026-05-22) follows konard's PR feedback: replaces the\n3,400+ tiny URL-hash cache files with a single reviewable\n`data/seed/translations.lino` artefact, and reorganises the HTTP\naccelerator cache by **semantic data type** so it can be reused by\nother formalization paths — not just translation. The PR now touches\n**250 files** (previously 3,000+).\n\nThe full investigation lives in `docs/case-studies/issue-221/`\n(timeline through 2026-05-22, seven verbatim issue requirements, four\nroot causes, fixes, before/after table, verification commands,\nupstream defect notes, and online research on Wiktionary CORS /\nWikidata SPARQL polysemy).\n\n## Changes\n\n### Single-file offline dictionary\n- `data/seed/translations.lino` (new, 1,334 lines, ≤128 entries) — the\n canonical 128-entry common-noun dictionary, embedded in the Rust\n binary via `include_str!` and fetched by the browser worker through\n the standard seed loader. One file, one source of truth, well under\n the 1,500-line Links Notation cap.\n- `src/translation/dictionary.rs` (new) parses the file into a\n bidirectional `(language, surface) → entry` map plus a reverse\n `(target_lang, target_surface) → entry` map so a single en→ru\n entry covers both directions and the 128-entry cap stays\n meaningful.\n- `examples/build_translation_dictionary.rs` rewritten to emit the\n `.lino` artefact. Deterministic Russian declension table and\n English plural rules generate the `aliases` lines so inflected\n forms (`помидоры`, `tomatoes`) resolve without another lookup.\n\n### Semantic-identity HTTP cache\n- `src/translation/cache.rs` reorganises the file cache by data type\n instead of URL hash:\n `data/wikidata-cache/{search,entities,query,sparql}/`,\n `data/wiktionary-cache/<lang>/`, `data/http-cache/misc/`. All three\n roots are gitignored — the cache is a local accelerator populated\n lazily with `FORMAL_AI_LIVE_API=1`, not pre-seeded data.\n- `examples/refresh_translation_cache.rs` updated to write into the\n new semantic-keyed cache root.\n\n### Rust pipeline\n- `src/translation/pipeline.rs` — new **stage 0** consults the offline\n dictionary first; HTTP stages still run when the dictionary misses.\n `FORMAL_AI_TRANSLATION_DEBUG=1` enables verbose tracing through\n every stage. `POLYSEMY_OVERRIDES` table fixes noun↔verb homographs\n the Wikidata SPARQL lexeme join lands on the wrong side of (e.g.\n `milk → молоко` not `доить`, `water → вода` not `поливать`).\n- `tests/unit/specification/translation_via_links.rs` — regression\n tests covering quoted + unquoted common-noun translation in both\n directions.\n\n### Browser worker\n- `src/web/seed_loader.js` — new `extractTranslations(root)` parser\n builds the same bidirectional dictionary structure from the shared\n `.lino` file. Replaces the bespoke `translation-dictionary.json`\n loader.\n- `src/web/formal_ai_worker.js` — `translateSurface` consults\n `lookupDictionary(...)` (now backed by the shared seed dictionary)\n before falling back to the registry / placeholder path.\n- `src/web/translation-dictionary.json` — **deleted** (826 lines, no\n longer needed; replaced by the seed `.lino`).\n\n### Tests & docs\n- `tests/e2e/tests/issue-221.spec.js` — Playwright coverage mirroring\n the Rust unit tests plus a `ru→en→ru` round-trip.\n- `tests/unit/docs_requirements.rs` — exempts the new semantic-keyed\n cache roots when scanning for deferred labels so raw Wiktionary\n bodies (which contain ISO 639-3 language codes like `mvp` for Duri)\n don't trip the scanner.\n- `docs/case-studies/issue-221/{README.md,online-research.md}` —\n refreshed for the new architecture; preserves the original\n investigation timeline.\n- `changelog.d/20260522_000500_issue_221_translation_common_nouns.md`\n — rewritten changelog fragment describing the new layout.\n\n## Before / After\n\n| Prompt | Before (v0.100.0) | After |\n| --- | --- | --- |\n| `Переведи \"помидор\" на английский.` | `\"[en] помидор\"` | `\"tomato\"` |\n| `Переведи \"огурец\" на английский.` | `\"[en] огурец\"` | `\"cucumber\"` |\n| `переведи \"картофель\" на английский` | `\"[en] картофель\"` | `\"potato\"` |\n| `translate \"tomato\" to russian` | `\"[ru] tomato\"` | `\"помидор\"` |\n| `translate \"carrot\" to russian` | `\"[ru] carrot\"` | `\"морковь\"` |\n| `переведи помидор на английский` (unquoted) | `\"[en] помидор\"` | `\"tomato\"` |\n\n## Test plan\n\n- [x] `cargo build --release` — clean.\n- [x] `cargo clippy --release --all-targets -- -D warnings` — clean.\n- [x] `cargo fmt --check` — clean.\n- [x] `cargo test --release` — 461 unit tests pass, including the\n `issue_221_*` regressions and existing issue #218 coverage.\n- [x] CI green on `windows-latest`, `macos-latest`, `ubuntu-latest`,\n plus Lint, Format, Coverage, and E2E (local demo).\n- [x] `FORMAL_AI_LIVE_API=1 cargo run --release --example refresh_translation_cache`\n — every seed entry resolved (populates the new semantic-keyed cache).\n- [x] `cargo run --release --example build_translation_dictionary` —\n rebuilds `data/seed/translations.lino` from the cache.\n- [ ] `npm --prefix tests/e2e run test:local -- tests/issue-221.spec.js`\n — to confirm before merge (run by maintainer).\n\nFixes #221", | |
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| [2026-05-22T11:00:46.809Z] [INFO] "stdout": "title:\tGeneralize translation pipeline + dictionary for all common nouns (issue #221)\nstate:\tDRAFT\nauthor:\tkonard (Konstantin Diachenko)\nlabels:\t\nassignees:\tkonard (Konstantin Diachenko)\nreviewers:\t\nprojects:\t\nmilestone:\t\nnumber:\t222\nurl:\thttps://github.com/link-assistant/formal-ai/pull/222\nadditions:\t3481\ndeletions:\t445\nauto-merge:\tdisabled\n--\n## Summary\n\nFixes #221 — stops faking translation for common nouns by combining a\ntiny **offline dictionary** (128 most-frequent nouns, single Links\nNotation file) with the existing Wiktionary + Wikidata pipeline. Works\nin both the Rust CLI and the browser worker, with no LLM in the loop.\n\nThis revision (2026-05-22) follows konard's PR feedback: replaces the\n3,400+ tiny URL-hash cache files with a single reviewable\n`data/seed/translations.lino` artefact, and reorganises the HTTP\naccelerator cache by **semantic data type** so it can be reused by\nother formalization paths — not just translation. The PR now touches\n**250 files** (previously 3,000+).\n\nThe full investigation lives in `docs/case-studies/issue-221/`\n(timeline through 2026-05-22, seven verbatim issue requirements, four\nroot causes, fixes, before/after table, verification commands,\nupstream defect notes, and online research on Wiktionary CORS /\nWikidata SPARQL polysemy).\n\n## Changes\n\n### Single-file offline dictionary\n- `data/seed/translations.lino` (new, 1,334 lines, ≤128 entries) — the\n canonical 128-entry common-noun dictionary, embedded in the Rust\n binary via `include_str!` and fetched by the browser worker through\n the standard seed loader. One file, one source of truth, well under\n the 1,500-line Links Notation cap.\n- `src/translation/dictionary.rs` (new) parses the file into a\n bidirectional `(language, surface) → entry` map plus a reverse\n `(target_lang, target_surface) → entry` map so a single en→ru\n entry covers both directions and the 128-entry cap stays\n meaningful.\n- `examples/build_translation_dictionary.rs` rewritten to emit the\n `.lino` artefact. Deterministic Russian declension table and\n English plural rules generate the `aliases` lines so inflected\n forms (`помидоры`, `tomatoes`) resolve without another lookup.\n\n### Semantic-identity HTTP cache\n- `src/translation/cache.rs` reorganises the file cache by data type\n instead of URL hash:\n `data/wikidata-cache/{search,entities,query,sparql}/`,\n `data/wiktionary-cache/<lang>/`, `data/http-cache/misc/`. All three\n roots are gitignored — the cache is a local accelerator populated\n lazily with `FORMAL_AI_LIVE_API=1`, not pre-seeded data.\n- `examples/refresh_translation_cache.rs` updated to write into the\n new semantic-keyed cache root.\n\n### Rust pipeline\n- `src/translation/pipeline.rs` — new **stage 0** consults the offline\n dictionary first; HTTP stages still run when the dictionary misses.\n `FORMAL_AI_TRANSLATION_DEBUG=1` enables verbose tracing through\n every stage. `POLYSEMY_OVERRIDES` table fixes noun↔verb homographs\n the Wikidata SPARQL lexeme join lands on the wrong side of (e.g.\n `milk → молоко` not `доить`, `water → вода` not `поливать`).\n- `tests/unit/specification/translation_via_links.rs` — regression\n tests covering quoted + unquoted common-noun translation in both\n directions.\n\n### Browser worker\n- `src/web/seed_loader.js` — new `extractTranslations(root)` parser\n builds the same bidirectional dictionary structure from the shared\n `.lino` file. Replaces the bespoke `translation-dictionary.json`\n loader.\n- `src/web/formal_ai_worker.js` — `translateSurface` consults\n `lookupDictionary(...)` (now backed by the shared seed dictionary)\n before falling back to the registry / placeholder path.\n- `src/web/translation-dictionary.json` — **deleted** (826 lines, no\n longer needed; replaced by the seed `.lino`).\n\n### Tests & docs\n- `tests/e2e/tests/issue-221.spec.js` — Playwright coverage mirroring\n the Rust unit tests plus a `ru→en→ru` round-trip.\n- `tests/unit/docs_requirements.rs` — exempts the new semantic-keyed\n cache roots when scanning for deferred labels so raw Wiktionary\n bodies (which contain ISO 639-3 language codes like `mvp` for Duri)\n don't trip the scanner.\n- `docs/case-studies/issue-221/{README.md,online-research.md}` —\n refreshed for the new architecture; preserves the original\n investigation timeline.\n- `changelog.d/20260522_000500_issue_221_translation_common_nouns.md`\n — rewritten changelog fragment describing the new layout.\n\n## Before / After\n\n| Prompt | Before (v0.100.0) | After |\n| --- | --- | --- |\n| `Переведи \"помидор\" на английский.` | `\"[en] помидор\"` | `\"tomato\"` |\n| `Переведи \"огурец\" на английский.` | `\"[en] огурец\"` | `\"cucumber\"` |\n| `переведи \"картофель\" на английский` | `\"[en] картофель\"` | `\"potato\"` |\n| `translate \"tomato\" to russian` | `\"[ru] tomato\"` | `\"помидор\"` |\n| `translate \"carrot\" to russian` | `\"[ru] carrot\"` | `\"морковь\"` |\n| `переведи помидор на английский` (unquoted) | `\"[en] помидор\"` | `\"tomato\"` |\n\n## Test plan\n\n- [x] `cargo build --release` — clean.\n- [x] `cargo clippy --release --all-targets -- -D warnings` — clean.\n- [x] `cargo fmt --check` — clean.\n- [x] `cargo test --release` — 461 unit tests pass, including the\n `issue_221_*` regressions and existing issue #218 coverage.\n- [x] CI green on `windows-latest`, `macos-latest`, `ubuntu-latest`,\n plus Lint, Format, Coverage, and E2E (local demo).\n- [x] `FORMAL_AI_LIVE_API=1 cargo run --release --example refresh_translation_cache`\n — every seed entry resolved (populates the new semantic-keyed cache).\n- [x] `cargo run --release --example build_translation_dictionary` —\n rebuilds `data/seed/translations.lino` from the cache.\n- [ ] `npm --prefix tests/e2e run test:local -- tests/issue-221.spec.js`\n — to confirm before merge (run by maintainer).\n\nFixes #221", | |
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Starting new session to review and commit or discard them.\\n\\n**Uncommitted files:**\\n```\\nM examples/refresh_translation_cache.rs\\n M src/translation/pipeline.rs\\n M src/web/formal_ai_worker.js\\n M tests/unit/specification/translation_via_links.rs\\n?? data/translation-cache/0009c13d8fc36762.body\\n?? data/translation-cache/0009c13d8fc36762.url\\n?? data/translation-cache/002a967f41bd7779.body\\n?? data/translation-cache/002a967f41bd7779.url\\n?? data/translation-cache/0043f88919afd5bf.body\\n?? data/translation-cache/0043f88919afd5bf.url\\n?? data/translation-cache/0075914e86a7a05f.body\\n?? data/translation-cache/0075914e86a7a05f.url\\n?? data/translation-cache/007b00495522901c.body\\n?? data/translation-cache/007b00495522901c.url\\n?? data/translation-cache/00a297dc3c811f43.body\\n?? data/translation-cache/00a297dc3c811f43.url\\n?? data/translation-cache/00d292d5b7a35991.body\\n?? data/translation-cache/00d292d5b7a35991.url\\n?? data/translation-cache/00deed92022130f2.body\\n?? data/translation-cache/00deed92022130f2.url\\n?? data/translation-cache/00ef8017eeccc8c3.body\\n?? data/translation-cache/00ef8017eeccc8c3.url\\n?? data/translation-cache/012e5f82faf9727b.body\\n?? data/translation-cache/012e5f82faf9727b.url\\n?? data/translation-cache/0168a1bc902bfe42.body\\n?? data/translation-cache/0168a1bc902bfe42.url\\n?? data/translation-cache/0227cc0110305270.body\\n?? data/translation-cache/0227cc0110305270.url\\n?? data/translation-cache/02355f43189499fc.body\\n?? data/translation-cache/02355f43189499fc.url\\n?? data/translation-cache/025109ffeb01c2d7.body\\n?? data/translation-cache/025109ffeb01c2d7.url\\n?? data/translation-cache/026c0fd8c3a6f5f5.body\\n?? data/translation-cache/026c0fd8c3a6f5f5.url\\n?? data/translation-cache/026ce69d58b1fd69.body\\n?? data/translation-cache/026ce69d58b1fd69.url\\n?? data/translation-cache/028a129d889e2f20.body\\n?? data/translation-cache/028a129d889e2f20.url\\n?? data/translation-cache/037ba12ad0f41445.body\\n?? data/translation-cache/037ba12ad0f41445.url\\n?? 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| [2026-05-22T11:01:04.654Z] [INFO] "content": "1\t{\"body\":\"🤖 **AI Work Session Started**\\n\\nStarting automated work session at 2026-05-22T11:00:18.698Z\\n\\nThe PR has been converted to draft mode while work is in progress.\\n\\n_This comment marks the beginning of an AI work session. Please wait for the session to finish, and provide your feedback._\",\"created_at\":\"2026-05-22T11:00:21Z\",\"id\":4518067467,\"user\":\"konard\"}\n2\t{\"body\":\"That is still fake solution, we should only store originals of the source data from wikipedia/wikidata/wiktionary, that should be used for formalization steps, we should never cache or preseed `Extract the offline translation dictionary`. That is absolutely wrong.\\r\\n\\r\\nWe need to use real formalization, and only thing we can cache is requests and responses of APIs with wikipedia/wikidata/wiktionary, but in .lino format, and not more than 128 most frequent entities and so on. Surely you don't think we need to support only noun translation? So also 128 most frequent properties and so on are expected. And I need full responses with all the data, because it may be used in different ways in formalization process, not only in translation.\\r\\n\\r\\nWe need general solution not narrow fakes.\\r\\n\\r\\nStop being lazy and get to work. I need real translation as described in https://github.com/link-assistant/formal-ai/issues/221 and other issues, and our vision.\\r\\n\\r\\nWe need to ensure all changes are correct, consistent, validated, tested, documented, logged and fully meet each and all discussed requirements in deepest and widest possible sense (check issue description and all comments in issue and in pull request, make sure each and every requirement listed before actually checking if they were addressed). Ensure all CI/CD checks pass.\\r\\n\\r\\nPlease plan and execute everything in this single pull request, you have unlimited time and context, as context auto-compacts and you can continue indefinitely, until it is each and every requirement fully addressed, and everything is totally done.\",\"created_at\":\"2026-05-22T10:58:18Z\",\"id\":4518055123,\"user\":\"konard\"}\n3\t{\"body\":\"## ✅ Ready to merge\\n\\nThis pull request is now ready to be merged:\\n- All CI checks have passed\\n- No merge conflicts\\n- No pending changes\\n\\n---\\n*Monitored by hive-mind with --auto-restart-until-mergeable flag*\",\"created_at\":\"2026-05-22T01:21:20Z\",\"id\":4514132372,\"user\":\"konard\"}\n4\t{\"body\":\"## 🔄 Auto-restart-until-mergeable Log (iteration 1)\\nThis log file contains the complete execution trace of the AI solution draft process.\\n\\n### 💰 Cost: **$1.995833**\\n\\n### 📊 **Context and tokens usage:**\\n- 83.8K / 1M (8%) input tokens, 18.6K / 128K (15%) output tokens\\n\\nTotal: (44 new + 77.4K cache writes + 2.1M cache reads) input tokens, 18.6K output tokens, $1.995833 cost\\n\\n### 🤖 **Models used:**\\n- Tool: Anthropic Claude Code\\n- Requested: `opus`\\n- **Model: Claude Opus 4.7** (`claude-opus-4-7`)\\n\\n### 📎 **Log file uploaded as Gist** (9028KB)\\n- [View complete solution draft log](https://gist.githubusercontent.com/konard/0f8f32b7aac79ac5d2ef82ccad20e077/raw/593c6c86780905e0e9c35caa0040c5be2a2afd30/solution-draft-log-pr-1779412727308.txt)\\n\\n---\\n*Now working session is ended, feel free to review and add any feedback on the solution draft.*\",\"created_at\":\"2026-05-22T01:18:54Z\",\"id\":4514120121,\"user\":\"konard\"}\n5\t{\"body\":\"\\u003c!-- hive-mind:working-session-summary --\\u003e\\n## Working session summary\\n\\nAll checks pass — including `Test (windows-latest)`, `Lint and Format Check`, and all other jobs. The deploy/release jobs are correctly skipped (they only run on main branch merges).\\n\\nSummary:\\n- **Root cause**: the `cache_paths_use_semantic_subdirectories` test built an absolute Unix-style path (`/tmp/whatever`) and then pushed backslash-joined subdirs onto it on Windows, producing `/tmp/whatever\\\\http-cache\\\\misc\\\\...` — a mixed-separator path whose `components()` iteration didn't yield the expected adjacent `[\\\"http-cache\\\", \\\"misc\\\"]` segments.\\n- **Fix** (`src/translation/cache.rs:453`): use a single-component relative cache root and assert the semantic mapping directly via `cache_location`, which returns relative components that are platform-agnostic.\\n- **CI**: PR https://github.com/link-assistant/formal-ai/pull/222 now has all checks green at `56cc20f`.\\n\\n---\\n*This summary was automatically extracted from the AI working session output.*\",\"created_at\":\"2026-05-22T01:18:45Z\",\"id\":4514119128,\"user\":\"konard\"}\n6\t{\"body\":\"## 🔄 Auto-restart triggered (iteration 1)\\n\\n**Reason:** CI failures detected\\n\\nStarting new session to address the issues.\\n\\n---\\n*Auto-restart-until-mergeable mode is active. This run will stop after 5 restart iterations.*\",\"created_at\":\"2026-05-22T01:01:45Z\",\"id\":4514032605,\"user\":\"konard\"}\n7\t{\"body\":\"## 🤖 Solution Draft Log\\nThis log file contains the complete execution trace of the AI solution draft process.\\n\\n### 💰 Cost: **$12.942094**\\n\\n### 📊 **Context and tokens usage:**\\n\\n**Claude Opus 4.7:** (4 sub-sessions)\\n1. 115.7K / 1M (12%) input tokens, 23.6K / 128K (18%) output tokens\\n2. 118.4K / 1M (12%) input tokens, 29.5K / 128K (23%) output tokens\\n3. 116.4K / 1M (12%) input tokens, 25.1K / 128K (20%) output tokens\\n4. 72.0K / 1M (7%) input tokens, 7.1K / 128K (6%) output tokens\\n\\nTotal: (8.2K new + 373.4K cache writes + 15.7M cache reads) input tokens, 107.9K output tokens, $12.942094 cost\\n\\n### 🤖 **Models used:**\\n- Tool: Anthropic Claude Code\\n- Requested: `opus`\\n- **Model: Claude Opus 4.7** (`claude-opus-4-7`)\\n\\n### 📎 **Log file uploaded as Gist** (7732KB)\\n- [View complete solution draft log](https://gist.githubusercontent.com/konard/f88250b40de9123d36c064369d1981a7/raw/40eb3360a8501b9eb12e83d8a9380bbcb7afa7d8/solution-draft-log-pr-1779411568279.txt)\\n\\n---\\n*Now working session is ended, feel free to review and add any feedback on the solution draft.*\",\"created_at\":\"2026-05-22T00:59:35Z\",\"id\":4514023607,\"user\":\"konard\"}\n8\t{\"body\":\"\\u003c!-- hive-mind:working-session-summary --\\u003e\\n## Working session summary\\n\\nWaiting for the background CI poll to complete. I'll be notified when it finishes.\\n\\n---\\n*This summary was automatically extracted from the AI working session output.*\",\"created_at\":\"2026-05-22T00:59:24Z\",\"id\":4514022726,\"user\":\"konard\"}\n9\t{\"body\":\"🤖 **AI Work Session Started**\\n\\nStarting automated work session at 2026-05-22T00:20:21.605Z\\n\\nThe PR has been converted to draft mode while work is in progress.\\n\\n_This comment marks the beginning of an AI work session. Please wait for the session to finish, and provide your feedback._\",\"created_at\":\"2026-05-22T00:20:24Z\",\"id\":4513847628,\"user\":\"konard\"}\n10\t{\"body\":\"There is too much files (more than 3000+) in the pull request, we should cache not more than 128 the most frequently used words, and if possible to put it all in a single .lino file, as we do with other data. But each .lino file, cannot be larger than 1500 lines, so there should be parts of .lino files.\\r\\n\\r\\nPlease remove `data/translation-cache/`, as we should cache by actual data, for example if we cache wikidata entity or property, they can have separate folders, so we will be able to use them not only for translation, but formalization in general.\\r\\n\\r\\nPlease make sure our architecture is built in such a way, so as much logic is reused, and as much as possible generalized. We should never cache too much data for offline mode, our system should be lightweight by default, and should rely mostly on APIs when run in browser, as user resources are not large, and it should be runnable on mobile devices.\\r\\n\\r\\nPlease make sure the pull request is under 3000 files, so I can at least review it.\\r\\n\\r\\nWe need to download all logs and data related about the issue to this repository, make sure we compile that data to `./docs/case-studies/issue-{id}` folder, and use it to do deep case study analysis (also make sure to search online for additional facts and data), in which we will reconstruct timeline/sequence of events, list of each and all requirements from the issue, find root causes of the each problem, and propose possible solutions and solution plans for each requirement (we should also check known existing components/libraries, that solve similar problem or can help in solutions).\\r\\n\\r\\nIf there is not enough data to find actual root cause, add debug output and verbose mode if not present, that will allow us to find root cause on next iteration.\\r\\n\\r\\nIf issue related to any other repository/project, where we can report issues on GitHub, please do so. Each issue must contain reproducible examples, workarounds and suggestions for fix the issue in code.\\r\\n\\r\\nPlease plan and execute everything in this single pull request, you have unlimited time and context, as context auto-compacts and you can continue indefinitely, until it is each and every requirement fully addressed, and everything is totally done.\",\"created_at\":\"2026-05-22T00:19:41Z\",\"id\":4513844358,\"user\":\"konard\"}\n11\t" | |
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| [2026-05-22T11:01:04.654Z] [INFO] "content": "{\"body\":\"🤖 **AI Work Session Started**\\n\\nStarting automated work session at 2026-05-22T11:00:18.698Z\\n\\nThe PR has been converted to draft mode while work is in progress.\\n\\n_This comment marks the beginning of an AI work session. Please wait for the session to finish, and provide your feedback._\",\"created_at\":\"2026-05-22T11:00:21Z\",\"id\":4518067467,\"user\":\"konard\"}\n{\"body\":\"That is still fake solution, we should only store originals of the source data from wikipedia/wikidata/wiktionary, that should be used for formalization steps, we should never cache or preseed `Extract the offline translation dictionary`. That is absolutely wrong.\\r\\n\\r\\nWe need to use real formalization, and only thing we can cache is requests and responses of APIs with wikipedia/wikidata/wiktionary, but in .lino format, and not more than 128 most frequent entities and so on. Surely you don't think we need to support only noun translation? So also 128 most frequent properties and so on are expected. And I need full responses with all the data, because it may be used in different ways in formalization process, not only in translation.\\r\\n\\r\\nWe need general solution not narrow fakes.\\r\\n\\r\\nStop being lazy and get to work. I need real translation as described in https://github.com/link-assistant/formal-ai/issues/221 and other issues, and our vision.\\r\\n\\r\\nWe need to ensure all changes are correct, consistent, validated, tested, documented, logged and fully meet each and all discussed requirements in deepest and widest possible sense (check issue description and all comments in issue and in pull request, make sure each and every requirement listed before actually checking if they were addressed). Ensure all CI/CD checks pass.\\r\\n\\r\\nPlease plan and execute everything in this single pull request, you have unlimited time and context, as context auto-compacts and you can continue indefinitely, until it is each and every requirement fully addressed, and everything is totally done.\",\"created_at\":\"2026-05-22T10:58:18Z\",\"id\":4518055123,\"user\":\"konard\"}\n{\"body\":\"## ✅ Ready to merge\\n\\nThis pull request is now ready to be merged:\\n- All CI checks have passed\\n- No merge conflicts\\n- No pending changes\\n\\n---\\n*Monitored by hive-mind with --auto-restart-until-mergeable flag*\",\"created_at\":\"2026-05-22T01:21:20Z\",\"id\":4514132372,\"user\":\"konard\"}\n{\"body\":\"## 🔄 Auto-restart-until-mergeable Log (iteration 1)\\nThis log file contains the complete execution trace of the AI solution draft process.\\n\\n### 💰 Cost: **$1.995833**\\n\\n### 📊 **Context and tokens usage:**\\n- 83.8K / 1M (8%) input tokens, 18.6K / 128K (15%) output tokens\\n\\nTotal: (44 new + 77.4K cache writes + 2.1M cache reads) input tokens, 18.6K output tokens, $1.995833 cost\\n\\n### 🤖 **Models used:**\\n- Tool: Anthropic Claude Code\\n- Requested: `opus`\\n- **Model: Claude Opus 4.7** (`claude-opus-4-7`)\\n\\n### 📎 **Log file uploaded as Gist** (9028KB)\\n- [View complete solution draft log](https://gist.githubusercontent.com/konard/0f8f32b7aac79ac5d2ef82ccad20e077/raw/593c6c86780905e0e9c35caa0040c5be2a2afd30/solution-draft-log-pr-1779412727308.txt)\\n\\n---\\n*Now working session is ended, feel free to review and add any feedback on the solution draft.*\",\"created_at\":\"2026-05-22T01:18:54Z\",\"id\":4514120121,\"user\":\"konard\"}\n{\"body\":\"\\u003c!-- hive-mind:working-session-summary --\\u003e\\n## Working session summary\\n\\nAll checks pass — including `Test (windows-latest)`, `Lint and Format Check`, and all other jobs. The deploy/release jobs are correctly skipped (they only run on main branch merges).\\n\\nSummary:\\n- **Root cause**: the `cache_paths_use_semantic_subdirectories` test built an absolute Unix-style path (`/tmp/whatever`) and then pushed backslash-joined subdirs onto it on Windows, producing `/tmp/whatever\\\\http-cache\\\\misc\\\\...` — a mixed-separator path whose `components()` iteration didn't yield the expected adjacent `[\\\"http-cache\\\", \\\"misc\\\"]` segments.\\n- **Fix** (`src/translation/cache.rs:453`): use a single-component relative cache root and assert the semantic mapping directly via `cache_location`, which returns relative components that are platform-agnostic.\\n- **CI**: PR https://github.com/link-assistant/formal-ai/pull/222 now has all checks green at `56cc20f`.\\n\\n---\\n*This summary was automatically extracted from the AI working session output.*\",\"created_at\":\"2026-05-22T01:18:45Z\",\"id\":4514119128,\"user\":\"konard\"}\n{\"body\":\"## 🔄 Auto-restart triggered (iteration 1)\\n\\n**Reason:** CI failures detected\\n\\nStarting new session to address the issues.\\n\\n---\\n*Auto-restart-until-mergeable mode is active. This run will stop after 5 restart iterations.*\",\"created_at\":\"2026-05-22T01:01:45Z\",\"id\":4514032605,\"user\":\"konard\"}\n{\"body\":\"## 🤖 Solution Draft Log\\nThis log file contains the complete execution trace of the AI solution draft process.\\n\\n### 💰 Cost: **$12.942094**\\n\\n### 📊 **Context and tokens usage:**\\n\\n**Claude Opus 4.7:** (4 sub-sessions)\\n1. 115.7K / 1M (12%) input tokens, 23.6K / 128K (18%) output tokens\\n2. 118.4K / 1M (12%) input tokens, 29.5K / 128K (23%) output tokens\\n3. 116.4K / 1M (12%) input tokens, 25.1K / 128K (20%) output tokens\\n4. 72.0K / 1M (7%) input tokens, 7.1K / 128K (6%) output tokens\\n\\nTotal: (8.2K new + 373.4K cache writes + 15.7M cache reads) input tokens, 107.9K output tokens, $12.942094 cost\\n\\n### 🤖 **Models used:**\\n- Tool: Anthropic Claude Code\\n- Requested: `opus`\\n- **Model: Claude Opus 4.7** (`claude-opus-4-7`)\\n\\n### 📎 **Log file uploaded as Gist** (7732KB)\\n- [View complete solution draft log](https://gist.githubusercontent.com/konard/f88250b40de9123d36c064369d1981a7/raw/40eb3360a8501b9eb12e83d8a9380bbcb7afa7d8/solution-draft-log-pr-1779411568279.txt)\\n\\n---\\n*Now working session is ended, feel free to review and add any feedback on the solution draft.*\",\"created_at\":\"2026-05-22T00:59:35Z\",\"id\":4514023607,\"user\":\"konard\"}\n{\"body\":\"\\u003c!-- hive-mind:working-session-summary --\\u003e\\n## Working session summary\\n\\nWaiting for the background CI poll to complete. I'll be notified when it finishes.\\n\\n---\\n*This summary was automatically extracted from the AI working session output.*\",\"created_at\":\"2026-05-22T00:59:24Z\",\"id\":4514022726,\"user\":\"konard\"}\n{\"body\":\"🤖 **AI Work Session Started**\\n\\nStarting automated work session at 2026-05-22T00:20:21.605Z\\n\\nThe PR has been converted to draft mode while work is in progress.\\n\\n_This comment marks the beginning of an AI work session. Please wait for the session to finish, and provide your feedback._\",\"created_at\":\"2026-05-22T00:20:24Z\",\"id\":4513847628,\"user\":\"konard\"}\n{\"body\":\"There is too much files (more than 3000+) in the pull request, we should cache not more than 128 the most frequently used words, and if possible to put it all in a single .lino file, as we do with other data. 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We should never cache too much data for offline mode, our system should be lightweight by default, and should rely mostly on APIs when run in browser, as user resources are not large, and it should be runnable on mobile devices.\\r\\n\\r\\nPlease make sure the pull request is under 3000 files, so I can at least review it.\\r\\n\\r\\nWe need to download all logs and data related about the issue to this repository, make sure we compile that data to `./docs/case-studies/issue-{id}` folder, and use it to do deep case study analysis (also make sure to search online for additional facts and data), in which we will reconstruct timeline/sequence of events, list of each and all requirements from the issue, find root causes of the each problem, and propose possible solutions and solution plans for each requirement (we should also check known existing components/libraries, that solve similar problem or can help in solutions).\\r\\n\\r\\nIf there is not enough data to find actual root cause, add debug output and verbose mode if not present, that will allow us to find root cause on next iteration.\\r\\n\\r\\nIf issue related to any other repository/project, where we can report issues on GitHub, please do so. 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| [2026-05-22T11:02:04.047Z] [INFO] "content": "1\t//! Offline translation dictionary.\n2\t//!\n3\t//! Issue #221 narrowed the offline translation strategy to a single\n4\t//! reviewable artefact: a Links Notation file (`data/seed/translations.lino`)\n5\t//! that lists the 128 most common nouns we want to translate without\n6\t//! hitting the live Wiktionary or Wikidata APIs.\n7\t//!\n8\t//! The file is embedded via [`include_str!`] so a built binary needs no\n9\t//! filesystem access at runtime; the browser worker reads the same file\n10\t//! over `fetch()` so the two surfaces share a single source of truth.\n11\t//!\n12\t//! The format is intentionally narrow — one record per lemma, with a\n13\t//! `target \"<code>\"` block per supported target language and an optional\n14\t//! `aliases \"<form1>|<form2>|...\"` line that enumerates inflected forms\n15\t//! (plurals, declensions). See `data/seed/translations.lino` for an\n16\t//! example.\n17\t\n18\tuse std::collections::HashMap;\n19\tuse std::sync::OnceLock;\n20\t\n21\t/// The full embedded dictionary text. Shared between the Rust pipeline\n22\t/// and the browser worker (which fetches the same file at runtime).\n23\tpub const SOURCE_TEXT: &str = include_str!(\"../../data/seed/translations.lino\");\n24\t\n25\t/// One dictionary entry: a lemma in a source language with its\n26\t/// translations into one or more target languages.\n27\t#[derive(Debug, Clone)]\n28\tpub struct DictionaryEntry {\n29\t pub language: String,\n30\t pub lemma: String,\n31\t pub aliases: Vec<String>,\n32\t pub targets: HashMap<String, String>,\n33\t}\n34\t\n35\t/// Parsed dictionary, indexed by `(language, surface_lower)` →\n36\t/// canonical entry. The same entry is registered under the canonical\n37\t/// lemma and every alias so callers can look up inflected forms\n38\t/// directly.\n39\t///\n40\t/// `reverse` mirrors every `(target_lang, target_surface_lower)` back to\n41\t/// the owning source entry so that, given an en→ru entry for\n42\t/// `thank you → спасибо`, `lookup(\"спасибо\", \"ru\", \"en\")` succeeds\n43\t/// without a second dictionary entry. This lets the 128-noun cap cover\n44\t/// both directions for every lemma instead of just one.\n45\t#[derive(Debug, Default)]\n46\tpub struct Dictionary {\n47\t entries: HashMap<(String, String), DictionaryEntry>,\n48\t reverse: HashMap<(String, String), DictionaryEntry>,\n49\t}\n50\t\n51\timpl Dictionary {\n52\t /// Parse a dictionary from the indented Links Notation text.\n53\t #[must_use]\n54\t pub fn parse(text: &str) -> Self {\n55\t let mut entries: HashMap<(String, String), DictionaryEntry> = HashMap::new();\n56\t let mut reverse: HashMap<(String, String), DictionaryEntry> = HashMap::new();\n57\t let mut current: Option<DictionaryEntry> = None;\n58\t let mut current_target: Option<String> = None;\n59\t\n60\t for raw_line in text.lines() {\n61\t if raw_line.trim().is_empty() {\n62\t continue;\n63\t }\n64\t let indent = raw_line.bytes().take_while(|b| *b == b' ').count();\n65\t let content = &raw_line[indent..];\n66\t if indent == 0 {\n67\t // Flush previous entry then start a new record header.\n68\t if let Some(entry) = current.take() {\n69\t register(&mut entries, &mut reverse, &entry);\n70\t }\n71\t if content.starts_with(\"translation_\") {\n72\t current = Some(DictionaryEntry {\n73\t language: String::new(),\n74\t lemma: String::new(),\n75\t aliases: Vec::new(),\n76\t targets: HashMap::new(),\n77\t });\n78\t current_target = None;\n79\t }\n80\t continue;\n81\t }\n82\t let Some(entry) = current.as_mut() else {\n83\t continue;\n84\t };\n85\t if indent == 2 {\n86\t current_target = None;\n87\t if let Some((name, value)) = parse_kv(content) {\n88\t match name {\n89\t \"language\" => value.clone_into(&mut entry.language),\n90\t \"lemma\" => value.clone_into(&mut entry.lemma),\n91\t \"aliases\" => {\n92\t entry.aliases = value\n93\t .split('|')\n94\t .map(str::trim)\n95\t .filter(|alias| !alias.is_empty())\n96\t .map(str::to_owned)\n97\t .collect();\n98\t }\n99\t \"target\" => current_target = Some(value.to_owned()),\n100\t _ => {}\n101\t }\n102\t }\n103\t } else if indent >= 4 {\n104\t if let (Some(target), Some((name, value))) =\n105\t (current_target.as_ref(), parse_kv(content))\n106\t {\n107\t if name == \"surface\" {\n108\t entry.targets.insert(target.clone(), value.to_owned());\n109\t }\n110\t }\n111\t }\n112\t }\n113\t if let Some(entry) = current.take() {\n114\t register(&mut entries, &mut reverse, &entry);\n115\t }\n116\t Self { entries, reverse }\n117\t }\n118\t\n119\t /// Look up a translation by `(surface, source_lang, target_lang)`.\n120\t ///\n121\t /// Match is case-insensitive on the surface; both canonical lemmas\n122\t /// and the aliases list are consulted. If the source surface is the\n123\t /// target side of an entry registered under a different language\n124\t /// (e.g. the Russian translation of an English lemma), the entry's\n125\t /// source-language lemma is returned in reverse.\n126\t #[must_use]\n127\t pub fn lookup(&self, surface: &str, source: &str, target: &str) -> Option<&str> {\n128\t let key = (source.to_owned(), surface.trim().to_lowercase());\n129\t if let Some(entry) = self.entries.get(&key) {\n130\t if entry.language == source {\n131\t if let Some(value) = entry.targets.get(target) {\n132\t return Some(value.as_str());\n133\t }\n134\t }\n135\t }\n136\t if let Some(entry) = self.reverse.get(&key) {\n137\t if entry.language == target {\n138\t return Some(entry.lemma.as_str());\n139\t }\n140\t if let Some(value) = entry.targets.get(target) {\n141\t return Some(value.as_str());\n142\t }\n143\t }\n144\t None\n145\t }\n146\t\n147\t /// Return the canonical lemma for an inflected form, if known. When\n148\t /// the surface is a target-side translation of an entry written in\n149\t /// the other direction, the target lemma is returned so callers can\n150\t /// still cite a canonical form.\n151\t #[must_use]\n152\t pub fn lemma(&self, surface: &str, source: &str) -> Option<&str> {\n153\t let key = (source.to_owned(), surface.trim().to_lowercase());\n154\t if let Some(entry) = self.entries.get(&key) {\n155\t if entry.language == source {\n156\t return Some(entry.lemma.as_str());\n157\t }\n158\t }\n159\t self.reverse.get(&key).and_then(|entry| {\n160\t entry\n161\t .targets\n162\t .get(source)\n163\t .map(String::as_str)\n164\t .or(Some(entry.lemma.as_str()))\n165\t })\n166\t }\n167\t\n168\t /// Number of distinct entries (counting one per (language, lemma) pair).\n169\t #[must_use]\n170\t pub fn len(&self) -> usize {\n171\t // Each entry is registered once per alias; count unique by the\n172\t // (language, lemma) pair.\n173\t let mut seen = std::collections::HashSet::new();\n174\t for entry in self.entries.values() {\n175\t seen.insert((entry.language.clone(), entry.lemma.clone()));\n176\t }\n177\t seen.len()\n178\t }\n179\t\n180\t #[must_use]\n181\t pub fn is_empty(&self) -> bool {\n182\t self.entries.is_empty()\n183\t }\n184\t}\n185\t\n186\t/// Process-wide dictionary loaded from the embedded `.lino` text.\n187\t#[must_use]\n188\tpub fn shared() -> &'static Dictionary {\n189\t static DICTIONARY: OnceLock<Dictionary> = OnceLock::new();\n190\t DICTIONARY.get_or_init(|| Dictionary::parse(SOURCE_TEXT))\n191\t}\n192\t\n193\tfn register(\n194\t entries: &mut HashMap<(String, String), DictionaryEntry>,\n195\t reverse: &mut HashMap<(String, String), DictionaryEntry>,\n196\t entry: &DictionaryEntry,\n197\t) {\n198\t if entry.language.is_empty() || entry.lemma.is_empty() {\n199\t return;\n200\t }\n201\t let lang = &entry.language;\n202\t let lemma = entry.lemma.to_lowercase();\n203\t let mut keys: Vec<String> = entry\n204\t .aliases\n205\t .iter()\n206\t .map(|alias| alias.to_lowercase())\n207\t .collect();\n208\t if !keys.iter().any(|k| k == &lemma) {\n209\t keys.push(lemma);\n210\t }\n211\t for key in keys {\n212\t entries.insert((lang.clone(), key), entry.clone());\n213\t }\n214\t for (target_lang, target_surface) in &entry.targets {\n215\t let key = (target_lang.clone(), target_surface.trim().to_lowercase());\n216\t reverse.entry(key).or_insert_with(|| entry.clone());\n217\t }\n218\t}\n219\t\n220\tfn parse_kv(content: &str) -> Option<(&str, &str)> {\n221\t let first_quote = content.find(\" \\\"\")?;\n222\t let last_quote = content.rfind('\"')?;\n223\t if last_quote <= first_quote + 2 {\n224\t return None;\n225\t }\n226\t let name = content[..first_quote].trim();\n227\t let value = &content[first_quote + 2..last_quote];\n228\t Some((name, value))\n229\t}\n230\t\n231\t#[cfg(test)]\n232\tmod tests {\n233\t use super::*;\n234\t\n235\t #[test]\n236\t fn embedded_dictionary_parses_with_entries() {\n237\t let dict = shared();\n238\t assert!(!dict.is_empty());\n239\t assert!(\n240\t dict.len() <= 128,\n241\t \"dictionary must stay under 128 entries (R221.cap)\"\n242\t );\n243\t }\n244\t\n245\t #[test]\n246\t fn english_apple_translates_to_russian() {\n247\t let dict = shared();\n248\t assert_eq!(dict.lookup(\"apple\", \"en\", \"ru\"), Some(\"яблоко\"));\n249\t }\n250\t\n251\t #[test]\n252\t fn russian_pomidor_translates_to_english() {\n253\t let dict = shared();\n254\t assert_eq!(dict.lookup(\"помидор\", \"ru\", \"en\"), Some(\"tomato\"));\n255\t }\n256\t\n257\t #[test]\n258\t fn inflected_form_resolves_via_alias() {\n259\t let dict = shared();\n260\t assert_eq!(dict.lookup(\"помидоры\", \"ru\", \"en\"), Some(\"tomato\"));\n261\t assert_eq!(dict.lookup(\"apples\", \"en\", \"ru\"), Some(\"яблоко\"));\n262\t }\n263\t\n264\t #[test]\n265\t fn lookup_is_case_insensitive() {\n266\t let dict = shared();\n267\t assert_eq!(dict.lookup(\"Apple\", \"en\", \"ru\"), Some(\"яблоко\"));\n268\t assert_eq!(dict.lookup(\"APPLE\", \"en\", \"ru\"), Some(\"яблоко\"));\n269\t }\n270\t\n271\t #[test]\n272\t fn unknown_surface_returns_none() {\n273\t let dict = shared();\n274\t assert_eq!(dict.lookup(\"xyzzy\", \"en\", \"ru\"), None);\n275\t }\n276\t\n277\t #[test]\n278\t fn parse_kv_extracts_name_and_value() {\n279\t assert_eq!(parse_kv(\"lemma \\\"apple\\\"\"), Some((\"lemma\", \"apple\")));\n280\t assert_eq!(\n281\t parse_kv(\"aliases \\\"apple|apples\\\"\"),\n282\t Some((\"aliases\", \"apple|apples\"))\n283\t );\n284\t }\n285\t}\n286\t" | |
| [2026-05-22T11:02:04.047Z] [INFO] } | |
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| [2026-05-22T11:02:04.047Z] [INFO] "parent_tool_use_id": null, | |
| [2026-05-22T11:02:04.047Z] [INFO] "session_id": "fc52c6ca-d477-420d-9611-9ba0f4f20913", | |
| [2026-05-22T11:02:04.047Z] [INFO] "uuid": "fea62cc5-bb7a-4a5f-a880-1f77c9318a8f", | |
| [2026-05-22T11:02:04.047Z] [INFO] "timestamp": "2026-05-22T11:02:03.992Z", | |
| [2026-05-22T11:02:04.047Z] [INFO] "tool_use_result": { | |
| [2026-05-22T11:02:04.047Z] [INFO] "type": "text", | |
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| [2026-05-22T11:02:04.047Z] [INFO] "filePath": "/tmp/gh-issue-solver-1779447613602/src/translation/dictionary.rs", | |
| [2026-05-22T11:02:04.047Z] [INFO] "content": "//! Offline translation dictionary.\n//!\n//! Issue #221 narrowed the offline translation strategy to a single\n//! reviewable artefact: a Links Notation file (`data/seed/translations.lino`)\n//! that lists the 128 most common nouns we want to translate without\n//! hitting the live Wiktionary or Wikidata APIs.\n//!\n//! The file is embedded via [`include_str!`] so a built binary needs no\n//! filesystem access at runtime; the browser worker reads the same file\n//! over `fetch()` so the two surfaces share a single source of truth.\n//!\n//! The format is intentionally narrow — one record per lemma, with a\n//! `target \"<code>\"` block per supported target language and an optional\n//! `aliases \"<form1>|<form2>|...\"` line that enumerates inflected forms\n//! (plurals, declensions). See `data/seed/translations.lino` for an\n//! example.\n\nuse std::collections::HashMap;\nuse std::sync::OnceLock;\n\n/// The full embedded dictionary text. Shared between the Rust pipeline\n/// and the browser worker (which fetches the same file at runtime).\npub const SOURCE_TEXT: &str = include_str!(\"../../data/seed/translations.lino\");\n\n/// One dictionary entry: a lemma in a source language with its\n/// translations into one or more target languages.\n#[derive(Debug, Clone)]\npub struct DictionaryEntry {\n pub language: String,\n pub lemma: String,\n pub aliases: Vec<String>,\n pub targets: HashMap<String, String>,\n}\n\n/// Parsed dictionary, indexed by `(language, surface_lower)` →\n/// canonical entry. The same entry is registered under the canonical\n/// lemma and every alias so callers can look up inflected forms\n/// directly.\n///\n/// `reverse` mirrors every `(target_lang, target_surface_lower)` back to\n/// the owning source entry so that, given an en→ru entry for\n/// `thank you → спасибо`, `lookup(\"спасибо\", \"ru\", \"en\")` succeeds\n/// without a second dictionary entry. This lets the 128-noun cap cover\n/// both directions for every lemma instead of just one.\n#[derive(Debug, Default)]\npub struct Dictionary {\n entries: HashMap<(String, String), DictionaryEntry>,\n reverse: HashMap<(String, String), DictionaryEntry>,\n}\n\nimpl Dictionary {\n /// Parse a dictionary from the indented Links Notation text.\n #[must_use]\n pub fn parse(text: &str) -> Self {\n let mut entries: HashMap<(String, String), DictionaryEntry> = HashMap::new();\n let mut reverse: HashMap<(String, String), DictionaryEntry> = HashMap::new();\n let mut current: Option<DictionaryEntry> = None;\n let mut current_target: Option<String> = None;\n\n for raw_line in text.lines() {\n if raw_line.trim().is_empty() {\n continue;\n }\n let indent = raw_line.bytes().take_while(|b| *b == b' ').count();\n let content = &raw_line[indent..];\n if indent == 0 {\n // Flush previous entry then start a new record header.\n if let Some(entry) = current.take() {\n register(&mut entries, &mut reverse, &entry);\n }\n if content.starts_with(\"translation_\") {\n current = Some(DictionaryEntry {\n language: String::new(),\n lemma: String::new(),\n aliases: Vec::new(),\n targets: HashMap::new(),\n });\n current_target = None;\n }\n continue;\n }\n let Some(entry) = current.as_mut() else {\n continue;\n };\n if indent == 2 {\n current_target = None;\n if let Some((name, value)) = parse_kv(content) {\n match name {\n \"language\" => value.clone_into(&mut entry.language),\n \"lemma\" => value.clone_into(&mut entry.lemma),\n \"aliases\" => {\n entry.aliases = value\n .split('|')\n .map(str::trim)\n .filter(|alias| !alias.is_empty())\n .map(str::to_owned)\n .collect();\n }\n \"target\" => current_target = Some(value.to_owned()),\n _ => {}\n }\n }\n } else if indent >= 4 {\n if let (Some(target), Some((name, value))) =\n (current_target.as_ref(), parse_kv(content))\n {\n if name == \"surface\" {\n entry.targets.insert(target.clone(), value.to_owned());\n }\n }\n }\n }\n if let Some(entry) = current.take() {\n register(&mut entries, &mut reverse, &entry);\n }\n Self { entries, reverse }\n }\n\n /// Look up a translation by `(surface, source_lang, target_lang)`.\n ///\n /// Match is case-insensitive on the surface; both canonical lemmas\n /// and the aliases list are consulted. If the source surface is the\n /// target side of an entry registered under a different language\n /// (e.g. the Russian translation of an English lemma), the entry's\n /// source-language lemma is returned in reverse.\n #[must_use]\n pub fn lookup(&self, surface: &str, source: &str, target: &str) -> Option<&str> {\n let key = (source.to_owned(), surface.trim().to_lowercase());\n if let Some(entry) = self.entries.get(&key) {\n if entry.language == source {\n if let Some(value) = entry.targets.get(target) {\n return Some(value.as_str());\n }\n }\n }\n if let Some(entry) = self.reverse.get(&key) {\n if entry.language == target {\n return Some(entry.lemma.as_str());\n }\n if let Some(value) = entry.targets.get(target) {\n return Some(value.as_str());\n }\n }\n None\n }\n\n /// Return the canonical lemma for an inflected form, if known. When\n /// the surface is a target-side translation of an entry written in\n /// the other direction, the target lemma is returned so callers can\n /// still cite a canonical form.\n #[must_use]\n pub fn lemma(&self, surface: &str, source: &str) -> Option<&str> {\n let key = (source.to_owned(), surface.trim().to_lowercase());\n if let Some(entry) = self.entries.get(&key) {\n if entry.language == source {\n return Some(entry.lemma.as_str());\n }\n }\n self.reverse.get(&key).and_then(|entry| {\n entry\n .targets\n .get(source)\n .map(String::as_str)\n .or(Some(entry.lemma.as_str()))\n })\n }\n\n /// Number of distinct entries (counting one per (language, lemma) pair).\n #[must_use]\n pub fn len(&self) -> usize {\n // Each entry is registered once per alias; count unique by the\n // (language, lemma) pair.\n let mut seen = std::collections::HashSet::new();\n for entry in self.entries.values() {\n seen.insert((entry.language.clone(), entry.lemma.clone()));\n }\n seen.len()\n }\n\n #[must_use]\n pub fn is_empty(&self) -> bool {\n self.entries.is_empty()\n }\n}\n\n/// Process-wide dictionary loaded from the embedded `.lino` text.\n#[must_use]\npub fn shared() -> &'static Dictionary {\n static DICTIONARY: OnceLock<Dictionary> = OnceLock::new();\n DICTIONARY.get_or_init(|| Dictionary::parse(SOURCE_TEXT))\n}\n\nfn register(\n entries: &mut HashMap<(String, String), DictionaryEntry>,\n reverse: &mut HashMap<(String, String), DictionaryEntry>,\n entry: &DictionaryEntry,\n) {\n if entry.language.is_empty() || entry.lemma.is_empty() {\n return;\n }\n let lang = &entry.language;\n let lemma = entry.lemma.to_lowercase();\n let mut keys: Vec<String> = entry\n .aliases\n .iter()\n .map(|alias| alias.to_lowercase())\n .collect();\n if !keys.iter().any(|k| k == &lemma) {\n keys.push(lemma);\n }\n for key in keys {\n entries.insert((lang.clone(), key), entry.clone());\n }\n for (target_lang, target_surface) in &entry.targets {\n let key = (target_lang.clone(), target_surface.trim().to_lowercase());\n reverse.entry(key).or_insert_with(|| entry.clone());\n }\n}\n\nfn parse_kv(content: &str) -> Option<(&str, &str)> {\n let first_quote = content.find(\" \\\"\")?;\n let last_quote = content.rfind('\"')?;\n if last_quote <= first_quote + 2 {\n return None;\n }\n let name = content[..first_quote].trim();\n let value = &content[first_quote + 2..last_quote];\n Some((name, value))\n}\n\n#[cfg(test)]\nmod tests {\n use super::*;\n\n #[test]\n fn embedded_dictionary_parses_with_entries() {\n let dict = shared();\n assert!(!dict.is_empty());\n assert!(\n dict.len() <= 128,\n \"dictionary must stay under 128 entries (R221.cap)\"\n );\n }\n\n #[test]\n fn english_apple_translates_to_russian() {\n let dict = shared();\n assert_eq!(dict.lookup(\"apple\", \"en\", \"ru\"), Some(\"яблоко\"));\n }\n\n #[test]\n fn russian_pomidor_translates_to_english() {\n let dict = shared();\n assert_eq!(dict.lookup(\"помидор\", \"ru\", \"en\"), Some(\"tomato\"));\n }\n\n #[test]\n fn inflected_form_resolves_via_alias() {\n let dict = shared();\n assert_eq!(dict.lookup(\"помидоры\", \"ru\", \"en\"), Some(\"tomato\"));\n assert_eq!(dict.lookup(\"apples\", \"en\", \"ru\"), Some(\"яблоко\"));\n }\n\n #[test]\n fn lookup_is_case_insensitive() {\n let dict = shared();\n assert_eq!(dict.lookup(\"Apple\", \"en\", \"ru\"), Some(\"яблоко\"));\n assert_eq!(dict.lookup(\"APPLE\", \"en\", \"ru\"), Some(\"яблоко\"));\n }\n\n #[test]\n fn unknown_surface_returns_none() {\n let dict = shared();\n assert_eq!(dict.lookup(\"xyzzy\", \"en\", \"ru\"), None);\n }\n\n #[test]\n fn parse_kv_extracts_name_and_value() {\n assert_eq!(parse_kv(\"lemma \\\"apple\\\"\"), Some((\"lemma\", \"apple\")));\n assert_eq!(\n parse_kv(\"aliases \\\"apple|apples\\\"\"),\n Some((\"aliases\", \"apple|apples\"))\n );\n }\n}\n", | |
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Issue #221 reshaped the cache so\n8\t//! that:\n9\t//!\n10\t//! - **Wikidata** responses land under `data/wikidata-cache/` keyed by\n11\t//! the Q-id or Lexeme-id mentioned in the URL.\n12\t//! - **Wiktionary** wikitext lands under `data/wiktionary-cache/<lang>/`\n13\t//! keyed by the page title.\n14\t//! - **SPARQL** queries land under `data/wikidata-cache/sparql/` keyed by\n15\t//! a short hash, because there is no natural semantic name for a SPARQL\n16\t//! string.\n17\t//! - **Everything else** still uses a URL-hash filename, but in a\n18\t//! dedicated `data/http-cache/misc/` bucket. Unrecognised hosts should\n19\t//! be rare in practice — the cache is intentionally narrow.\n20\t//!\n21\t//! This layout lets other formalization paths reuse the same Wikidata or\n22\t//! Wiktionary lookups without duplicating bytes. It also keeps each\n23\t//! directory small and human-readable (`grep -R apple\n24\t//! data/wiktionary-cache/` works).\n25\t//!\n26\t//! Cache contents are gitignored: they are populated lazily by integration\n27\t//! runs (`FORMAL_AI_LIVE_API=1`) and serve only as a local accelerator.\n28\t//! Unit tests rely on the offline dictionary at\n29\t//! `data/seed/translations.lino`, not on cached HTTP responses, so the\n30\t//! committed repository stays light.\n31\t\n32\tuse std::fs;\n33\tuse std::path::{Path, PathBuf};\n34\t\n35\tuse super::http::{HttpClient, HttpError};\n36\t\n37\t/// Default cache root, relative to the crate root.\n38\t///\n39\t/// Per-source subfolders (`wikidata-cache/`, `wiktionary-cache/<lang>/`, …)\n40\t/// live as siblings of this directory so callers from other formalization\n41\t/// paths can share the same bytes.\n42\tpub const DEFAULT_CACHE_DIR: &str = \"data\";\n43\t\n44\t/// HTTP client that consults a file cache before delegating to a real\n45\t/// transport. Cache hits always short-circuit the underlying transport;\n46\t/// cache misses populate the cache after a successful fetch.\n47\tpub struct CachedHttpClient<T: HttpClient> {\n48\t cache_dir: PathBuf,\n49\t transport: T,\n50\t /// When `true`, cache misses fall through to the transport. When\n51\t /// `false`, cache misses return [`HttpError::Transport`] without any\n52\t /// network access. Defaults to `false` so unit tests are offline-only.\n53\t online: bool,\n54\t}\n55\t\n56\timpl<T: HttpClient> CachedHttpClient<T> {\n57\t /// Construct a cached client. `online` defaults to whether the\n58\t /// `FORMAL_AI_LIVE_API` environment variable is set to a truthy value.\n59\t pub fn new(cache_dir: impl Into<PathBuf>, transport: T) -> Self {\n60\t Self {\n61\t cache_dir: cache_dir.into(),\n62\t transport,\n63\t online: live_api_enabled(),\n64\t }\n65\t }\n66\t\n67\t /// Override the online flag explicitly. Useful for tests that want to\n68\t /// force offline mode regardless of the environment.\n69\t #[must_use]\n70\t #[allow(dead_code)]\n71\t pub const fn with_online(mut self, online: bool) -> Self {\n72\t self.online = online;\n73\t self\n74\t }\n75\t\n76\t /// Return the directory where cache entries are stored.\n77\t #[must_use]\n78\t #[allow(dead_code)]\n79\t pub fn cache_dir(&self) -> &Path {\n80\t &self.cache_dir\n81\t }\n82\t\n83\t /// Return whether the cache will fall through to the transport on\n84\t /// misses.\n85\t #[must_use]\n86\t #[allow(dead_code)]\n87\t pub const fn is_online(&self) -> bool {\n88\t self.online\n89\t }\n90\t\n91\t fn cache_paths(&self, url: &str) -> (PathBuf, PathBuf) {\n92\t let location = cache_location(url);\n93\t let mut body = self.cache_dir.clone();\n94\t body.push(&location.directory);\n95\t body.push(format!(\"{}.body\", location.stem));\n96\t let mut meta = self.cache_dir.clone();\n97\t meta.push(&location.directory);\n98\t meta.push(format!(\"{}.url\", location.stem));\n99\t (body, meta)\n100\t }\n101\t}\n102\t\n103\t/// Where a URL should land inside the cache root.\n104\t///\n105\t/// `directory` is a relative subpath (e.g. `wiktionary-cache/en`) and\n106\t/// `stem` is the filename without extension (e.g. `apple`). The cache\n107\t/// writes `<root>/<directory>/<stem>.body` and `<root>/<directory>/<stem>.url`.\n108\t#[derive(Debug, Clone, PartialEq, Eq)]\n109\tpub struct CacheLocation {\n110\t pub directory: PathBuf,\n111\t pub stem: String,\n112\t}\n113\t\n114\t/// Decide the cache location for a URL.\n115\t///\n116\t/// The mapping is best-effort: well-known Wikidata / Wiktionary URLs land\n117\t/// under human-readable semantic folders, and anything else falls back to\n118\t/// a hashed bucket so we never refuse to cache a response.\n119\t#[must_use]\n120\tpub fn cache_location(url: &str) -> CacheLocation {\n121\t if let Some(location) = classify_wiktionary(url) {\n122\t return location;\n123\t }\n124\t if let Some(location) = classify_wikidata(url) {\n125\t return location;\n126\t }\n127\t CacheLocation {\n128\t directory: PathBuf::from(\"http-cache\").join(\"misc\"),\n129\t stem: cache_key(url),\n130\t }\n131\t}\n132\t\n133\tfn classify_wiktionary(url: &str) -> Option<CacheLocation> {\n134\t let host_start = url.find(\"://\")? + 3;\n135\t let after_scheme = &url[host_start..];\n136\t let dot = after_scheme.find('.')?;\n137\t let host_end = after_scheme.find('/').unwrap_or(after_scheme.len());\n138\t let host_rest = &after_scheme[dot..host_end];\n139\t if !host_rest.starts_with(\".wiktionary.org\") {\n140\t return None;\n141\t }\n142\t let lang = sanitize_segment(&after_scheme[..dot]);\n143\t let page = wiktionary_page_from_url(url).unwrap_or_else(|| cache_key(url));\n144\t Some(CacheLocation {\n145\t directory: PathBuf::from(\"wiktionary-cache\").join(lang),\n146\t stem: page,\n147\t })\n148\t}\n149\t\n150\tfn wiktionary_page_from_url(url: &str) -> Option<String> {\n151\t // Pages are fetched via the `parse` API:\n152\t // /w/api.php?action=parse&page=<title>&...\n153\t let query_start = url.find('?')?;\n154\t let query = &url[query_start + 1..];\n155\t for pair in query.split('&') {\n156\t if let Some(value) = pair.strip_prefix(\"page=\") {\n157\t let decoded = percent_decode(value);\n158\t if !decoded.is_empty() {\n159\t return Some(sanitize_segment(&decoded));\n160\t }\n161\t }\n162\t }\n163\t None\n164\t}\n165\t\n166\tfn classify_wikidata(url: &str) -> Option<CacheLocation> {\n167\t if !url.contains(\"wikidata.org\") {\n168\t return None;\n169\t }\n170\t let query_start = url.find('?')?;\n171\t let query = &url[query_start + 1..];\n172\t let mut action: Option<String> = None;\n173\t let mut srsearch: Option<String> = None;\n174\t let mut ids: Option<String> = None;\n175\t let mut sparql: Option<String> = None;\n176\t let mut titles: Option<String> = None;\n177\t for pair in query.split('&') {\n178\t if let Some(value) = pair.strip_prefix(\"action=\") {\n179\t action = Some(percent_decode(value));\n180\t } else if let Some(value) = pair.strip_prefix(\"srsearch=\") {\n181\t srsearch = Some(percent_decode(value));\n182\t } else if let Some(value) = pair.strip_prefix(\"ids=\") {\n183\t ids = Some(percent_decode(value));\n184\t } else if let Some(value) = pair.strip_prefix(\"query=\") {\n185\t sparql = Some(percent_decode(value));\n186\t } else if let Some(value) = pair.strip_prefix(\"titles=\") {\n187\t titles = Some(percent_decode(value));\n188\t }\n189\t }\n190\t if sparql.is_some() || url.contains(\"/sparql\") || url.contains(\"query.wikidata.org\") {\n191\t return Some(CacheLocation {\n192\t directory: PathBuf::from(\"wikidata-cache\").join(\"sparql\"),\n193\t stem: cache_key(url),\n194\t });\n195\t }\n196\t let stem = match action.as_deref() {\n197\t Some(\"wbsearchentities\") => srsearch\n198\t .as_deref()\n199\t .map_or_else(|| cache_key(url), sanitize_segment),\n200\t Some(\"wbgetentities\" | \"query\") => ids\n201\t .as_deref()\n202\t .or(titles.as_deref())\n203\t .map_or_else(|| cache_key(url), sanitize_segment),\n204\t _ => cache_key(url),\n205\t };\n206\t let sub = match action.as_deref() {\n207\t Some(\"wbsearchentities\") => \"search\",\n208\t Some(\"wbgetentities\") => \"entities\",\n209\t Some(\"query\") => \"query\",\n210\t _ => \"misc\",\n211\t };\n212\t Some(CacheLocation {\n213\t directory: PathBuf::from(\"wikidata-cache\").join(sub),\n214\t stem,\n215\t })\n216\t}\n217\t\n218\tfn sanitize_segment(value: &str) -> String {\n219\t let mut out = String::with_capacity(value.len());\n220\t for ch in value.chars() {\n221\t if ch.is_alphanumeric() || matches!(ch, '-' | '_' | '.') {\n222\t out.push(ch);\n223\t } else if ch == ' ' || ch == '+' {\n224\t out.push('_');\n225\t } else {\n226\t out.push('-');\n227\t }\n228\t }\n229\t if out.len() > 96 {\n230\t // Avoid blowing past common filesystem name limits when a SPARQL\n231\t // search returns a freakishly long title.\n232\t out.truncate(96);\n233\t out.push('~');\n234\t out.push_str(&cache_key(value)[..8]);\n235\t }\n236\t if out.is_empty() {\n237\t cache_key(value)\n238\t } else {\n239\t out\n240\t }\n241\t}\n242\t\n243\tfn percent_decode(value: &str) -> String {\n244\t let bytes = value.as_bytes();\n245\t let mut out: Vec<u8> = Vec::with_capacity(bytes.len());\n246\t let mut i = 0;\n247\t while i < bytes.len() {\n248\t let byte = bytes[i];\n249\t if byte == b'%' && i + 2 < bytes.len() {\n250\t let hi = hex_nibble(bytes[i + 1]);\n251\t let lo = hex_nibble(bytes[i + 2]);\n252\t if let (Some(hi), Some(lo)) = (hi, lo) {\n253\t out.push((hi << 4) | lo);\n254\t i += 3;\n255\t continue;\n256\t }\n257\t }\n258\t if byte == b'+' {\n259\t out.push(b' ');\n260\t } else {\n261\t out.push(byte);\n262\t }\n263\t i += 1;\n264\t }\n265\t String::from_utf8_lossy(&out).into_owned()\n266\t}\n267\t\n268\tconst fn hex_nibble(byte: u8) -> Option<u8> {\n269\t match byte {\n270\t b'0'..=b'9' => Some(byte - b'0'),\n271\t b'a'..=b'f' => Some(byte - b'a' + 10),\n272\t b'A'..=b'F' => Some(byte - b'A' + 10),\n273\t _ => None,\n274\t }\n275\t}\n276\t\n277\t/// Compute a deterministic, filesystem-safe key for the cache.\n278\t///\n279\t/// Uses FNV-1a 64-bit which is stable across platforms and Rust versions.\n280\t/// We do not need cryptographic strength — collisions are tolerable because\n281\t/// the sibling `.url` file records the exact URL for audit.\n282\t#[must_use]\n283\tpub fn cache_key(url: &str) -> String {\n284\t let mut hash: u64 = 0xcbf2_9ce4_8422_2325;\n285\t for byte in url.bytes() {\n286\t hash ^= u64::from(byte);\n287\t hash = hash.wrapping_mul(0x0000_0100_0000_01B3);\n288\t }\n289\t format!(\"{hash:016x}\")\n290\t}\n291\t\n292\t/// Read the cache truthiness flag from the environment. Accepts `1`,\n293\t/// `true`, `yes`, `on` (case-insensitive). Anything else is treated as\n294\t/// disabled.\n295\tfn live_api_enabled() -> bool {\n296\t std::env::var(\"FORMAL_AI_LIVE_API\").is_ok_and(|value| {\n297\t matches!(\n298\t value.trim().to_ascii_lowercase().as_str(),\n299\t \"1\" | \"true\" | \"yes\" | \"on\"\n300\t )\n301\t })\n302\t}\n303\t\n304\timpl<T: HttpClient> HttpClient for CachedHttpClient<T> {\n305\t fn get(&self, url: &str) -> Result<String, HttpError> {\n306\t let (body_path, meta_path) = self.cache_paths(url);\n307\t if let Ok(body) = fs::read_to_string(&body_path) {\n308\t return Ok(body);\n309\t }\n310\t if !self.online {\n311\t return Err(HttpError::Transport(format!(\n312\t \"translation cache miss for {url} and offline mode is active; \\\n313\t set FORMAL_AI_LIVE_API=1 to fetch and populate the cache\",\n314\t )));\n315\t }\n316\t let body = self.transport.get(url)?;\n317\t let parent = body_path.parent().unwrap_or(&self.cache_dir);\n318\t if let Err(error) = fs::create_dir_all(parent) {\n319\t return Err(HttpError::Transport(format!(\n320\t \"failed to create cache directory {}: {error}\",\n321\t parent.display(),\n322\t )));\n323\t }\n324\t if let Err(error) = fs::write(&body_path, &body) {\n325\t return Err(HttpError::Transport(format!(\n326\t \"failed to write cache body {}: {error}\",\n327\t body_path.display(),\n328\t )));\n329\t }\n330\t if let Err(error) = fs::write(&meta_path, url) {\n331\t return Err(HttpError::Transport(format!(\n332\t \"failed to write cache url marker {}: {error}\",\n333\t meta_path.display(),\n334\t )));\n335\t }\n336\t Ok(body)\n337\t }\n338\t}\n339\t\n340\t#[cfg(test)]\n341\tmod tests {\n342\t use super::*;\n343\t use std::collections::HashMap;\n344\t use std::sync::Mutex;\n345\t\n346\t struct StubHttp {\n347\t responses: Mutex<HashMap<String, String>>,\n348\t calls: Mutex<Vec<String>>,\n349\t }\n350\t\n351\t impl StubHttp {\n352\t fn new(responses: &[(&str, &str)]) -> Self {\n353\t Self {\n354\t responses: Mutex::new(\n355\t responses\n356\t .iter()\n357\t .map(|(k, v)| ((*k).to_owned(), (*v).to_owned()))\n358\t .collect(),\n359\t ),\n360\t calls: Mutex::new(Vec::new()),\n361\t }\n362\t }\n363\t }\n364\t\n365\t impl HttpClient for StubHttp {\n366\t fn get(&self, url: &str) -> Result<String, HttpError> {\n367\t self.calls.lock().unwrap().push(url.to_owned());\n368\t self.responses\n369\t .lock()\n370\t .unwrap()\n371\t .get(url)\n372\t .cloned()\n373\t .ok_or_else(|| HttpError::Status {\n374\t status: 404,\n375\t body: format!(\"stub had no response for {url}\"),\n376\t })\n377\t }\n378\t }\n379\t\n380\t fn temp_dir(slug: &str) -> PathBuf {\n381\t let mut dir = std::env::temp_dir();\n382\t dir.push(format!(\n383\t \"formal-ai-cache-{slug}-{}\",\n384\t std::process::id() ^ rand_u32()\n385\t ));\n386\t let _ = fs::create_dir_all(&dir);\n387\t dir\n388\t }\n389\t\n390\t fn rand_u32() -> u32 {\n391\t // Cheap deterministic-ish randomness: use the system time in nanos.\n392\t use std::time::{SystemTime, UNIX_EPOCH};\n393\t u32::try_from(\n394\t SystemTime::now()\n395\t .duration_since(UNIX_EPOCH)\n396\t .map_or(0, |d| u128::from(d.subsec_nanos())),\n397\t )\n398\t .unwrap_or(0)\n399\t }\n400\t\n401\t #[test]\n402\t fn cache_key_is_stable_across_runs() {\n403\t let one = cache_key(\"https://example.com/foo\");\n404\t let two = cache_key(\"https://example.com/foo\");\n405\t assert_eq!(one, two);\n406\t let other = cache_key(\"https://example.com/bar\");\n407\t assert_ne!(one, other);\n408\t }\n409\t\n410\t #[test]\n411\t fn cache_hit_short_circuits_transport() {\n412\t let dir = temp_dir(\"hit\");\n413\t let cache = CachedHttpClient::new(&dir, StubHttp::new(&[])).with_online(false);\n414\t // Pre-populate the cache by hand.\n415\t let url = \"https://example.com/cached\";\n416\t let (body_path, meta_path) = cache.cache_paths(url);\n417\t fs::create_dir_all(body_path.parent().unwrap()).unwrap();\n418\t fs::write(&body_path, \"cached body\").unwrap();\n419\t fs::write(&meta_path, url).unwrap();\n420\t assert_eq!(cache.get(url).unwrap(), \"cached body\");\n421\t // Stub had no entry; if it had been called we'd see a 404.\n422\t }\n423\t\n424\t #[test]\n425\t fn cache_miss_offline_returns_transport_error() {\n426\t let dir = temp_dir(\"offline-miss\");\n427\t let cache = CachedHttpClient::new(&dir, StubHttp::new(&[])).with_online(false);\n428\t let error = cache.get(\"https://example.com/missing\").unwrap_err();\n429\t match error {\n430\t HttpError::Transport(message) => {\n431\t assert!(message.contains(\"cache miss\"), \"got: {message}\");\n432\t assert!(message.contains(\"FORMAL_AI_LIVE_API\"), \"got: {message}\");\n433\t }\n434\t other @ HttpError::Status { .. } => {\n435\t panic!(\"expected Transport error, got {other:?}\")\n436\t }\n437\t }\n438\t }\n439\t\n440\t #[test]\n441\t fn cache_miss_online_populates_and_returns_body() {\n442\t let dir = temp_dir(\"online-miss\");\n443\t let url = \"https://example.com/foo\";\n444\t let stub = StubHttp::new(&[(url, \"fetched body\")]);\n445\t let cache = CachedHttpClient::new(&dir, stub).with_online(true);\n446\t assert_eq!(cache.get(url).unwrap(), \"fetched body\");\n447\t // Second call should be a cache hit even if the stub disappears.\n448\t let again = CachedHttpClient::new(&dir, StubHttp::new(&[])).with_online(false);\n449\t assert_eq!(again.get(url).unwrap(), \"fetched body\");\n450\t }\n451\t\n452\t #[test]\n453\t fn cache_paths_use_semantic_subdirectories() {\n454\t // Use a single-component relative root so the test stays\n455\t // platform-agnostic: an absolute Unix-style path like `/tmp/...`\n456\t // confuses Windows path parsing once we push backslash-separated\n457\t // subdirs onto it.\n458\t let dir = PathBuf::from(\"cache-root\");\n459\t let cache = CachedHttpClient::new(&dir, StubHttp::new(&[])).with_online(false);\n460\t let (body, meta) = cache.cache_paths(\"https://example.com/x\");\n461\t assert!(\n462\t body.extension()\n463\t .is_some_and(|ext| ext.eq_ignore_ascii_case(\"body\")),\n464\t \"got: {}\",\n465\t body.display()\n466\t );\n467\t assert!(\n468\t meta.extension()\n469\t .is_some_and(|ext| ext.eq_ignore_ascii_case(\"url\")),\n470\t \"got: {}\",\n471\t meta.display()\n472\t );\n473\t // Unknown host → falls into the misc bucket so it is still cached.\n474\t // Assert on the relative semantic directory directly to avoid any\n475\t // platform-specific quirks of joining absolute paths.\n476\t let location = cache_location(\"https://example.com/x\");\n477\t assert_eq!(location.directory, PathBuf::from(\"http-cache\").join(\"misc\"),);\n478\t assert!(!location.stem.is_empty());\n479\t }\n480\t\n481\t #[test]\n482\t fn wiktionary_url_lands_under_per_language_subdirectory() {\n483\t let location = cache_location(\n484\t \"https://en.wiktionary.org/w/api.php?action=parse&page=apple&prop=wikitext&formatversion=2&format=json&redirects=1\",\n485\t );\n486\t assert_eq!(\n487\t location.directory,\n488\t PathBuf::from(\"wiktionary-cache\").join(\"en\")\n489\t );\n490\t assert_eq!(location.stem, \"apple\");\n491\t }\n492\t\n493\t #[test]\n494\t fn wikidata_search_url_keyed_by_search_term() {\n495\t let location = cache_location(\n496\t \"https://www.wikidata.org/w/api.php?action=wbsearchentities&format=json&language=en&type=lexeme&srsearch=apple&limit=3\",\n497\t );\n498\t assert_eq!(\n499\t location.directory,\n500\t PathBuf::from(\"wikidata-cache\").join(\"search\")\n501\t );\n502\t assert_eq!(location.stem, \"apple\");\n503\t }\n504\t\n505\t #[test]\n506\t fn wikidata_sparql_url_lands_in_sparql_bucket() {\n507\t let location = cache_location(\n508\t \"https://query.wikidata.org/sparql?format=json&query=SELECT%20%3Flemma%20WHERE%20%7B%20%7D\",\n509\t );\n510\t assert_eq!(\n511\t location.directory,\n512\t PathBuf::from(\"wikidata-cache\").join(\"sparql\")\n513\t );\n514\t assert_eq!(location.stem.len(), 16);\n515\t }\n516\t}\n517\t" | |
| [2026-05-22T11:02:09.308Z] [INFO] } | |
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| [2026-05-22T11:02:09.308Z] [INFO] "timestamp": "2026-05-22T11:02:09.232Z", | |
| [2026-05-22T11:02:09.308Z] [INFO] "tool_use_result": { | |
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| [2026-05-22T11:02:09.308Z] [INFO] "filePath": "/tmp/gh-issue-solver-1779447613602/src/translation/cache.rs", | |
| [2026-05-22T11:02:09.308Z] [INFO] "content": "//! File-based cache for raw HTTP responses from Wikipedia / Wikidata /\n//! Wiktionary, keyed by the **semantic identity** of the resource.\n//!\n//! Earlier revisions of this module hashed the full URL and dumped 3 500+\n//! tiny `.body` / `.url` files into a single `data/translation-cache/`\n//! directory. That made the pull request unreviewable and locked the\n//! cache to one consumer (translation). Issue #221 reshaped the cache so\n//! that:\n//!\n//! - **Wikidata** responses land under `data/wikidata-cache/` keyed by\n//! the Q-id or Lexeme-id mentioned in the URL.\n//! - **Wiktionary** wikitext lands under `data/wiktionary-cache/<lang>/`\n//! keyed by the page title.\n//! - **SPARQL** queries land under `data/wikidata-cache/sparql/` keyed by\n//! a short hash, because there is no natural semantic name for a SPARQL\n//! string.\n//! - **Everything else** still uses a URL-hash filename, but in a\n//! dedicated `data/http-cache/misc/` bucket. Unrecognised hosts should\n//! be rare in practice — the cache is intentionally narrow.\n//!\n//! This layout lets other formalization paths reuse the same Wikidata or\n//! Wiktionary lookups without duplicating bytes. It also keeps each\n//! directory small and human-readable (`grep -R apple\n//! data/wiktionary-cache/` works).\n//!\n//! Cache contents are gitignored: they are populated lazily by integration\n//! runs (`FORMAL_AI_LIVE_API=1`) and serve only as a local accelerator.\n//! Unit tests rely on the offline dictionary at\n//! `data/seed/translations.lino`, not on cached HTTP responses, so the\n//! committed repository stays light.\n\nuse std::fs;\nuse std::path::{Path, PathBuf};\n\nuse super::http::{HttpClient, HttpError};\n\n/// Default cache root, relative to the crate root.\n///\n/// Per-source subfolders (`wikidata-cache/`, `wiktionary-cache/<lang>/`, …)\n/// live as siblings of this directory so callers from other formalization\n/// paths can share the same bytes.\npub const DEFAULT_CACHE_DIR: &str = \"data\";\n\n/// HTTP client that consults a file cache before delegating to a real\n/// transport. Cache hits always short-circuit the underlying transport;\n/// cache misses populate the cache after a successful fetch.\npub struct CachedHttpClient<T: HttpClient> {\n cache_dir: PathBuf,\n transport: T,\n /// When `true`, cache misses fall through to the transport. When\n /// `false`, cache misses return [`HttpError::Transport`] without any\n /// network access. Defaults to `false` so unit tests are offline-only.\n online: bool,\n}\n\nimpl<T: HttpClient> CachedHttpClient<T> {\n /// Construct a cached client. `online` defaults to whether the\n /// `FORMAL_AI_LIVE_API` environment variable is set to a truthy value.\n pub fn new(cache_dir: impl Into<PathBuf>, transport: T) -> Self {\n Self {\n cache_dir: cache_dir.into(),\n transport,\n online: live_api_enabled(),\n }\n }\n\n /// Override the online flag explicitly. Useful for tests that want to\n /// force offline mode regardless of the environment.\n #[must_use]\n #[allow(dead_code)]\n pub const fn with_online(mut self, online: bool) -> Self {\n self.online = online;\n self\n }\n\n /// Return the directory where cache entries are stored.\n #[must_use]\n #[allow(dead_code)]\n pub fn cache_dir(&self) -> &Path {\n &self.cache_dir\n }\n\n /// Return whether the cache will fall through to the transport on\n /// misses.\n #[must_use]\n #[allow(dead_code)]\n pub const fn is_online(&self) -> bool {\n self.online\n }\n\n fn cache_paths(&self, url: &str) -> (PathBuf, PathBuf) {\n let location = cache_location(url);\n let mut body = self.cache_dir.clone();\n body.push(&location.directory);\n body.push(format!(\"{}.body\", location.stem));\n let mut meta = self.cache_dir.clone();\n meta.push(&location.directory);\n meta.push(format!(\"{}.url\", location.stem));\n (body, meta)\n }\n}\n\n/// Where a URL should land inside the cache root.\n///\n/// `directory` is a relative subpath (e.g. `wiktionary-cache/en`) and\n/// `stem` is the filename without extension (e.g. `apple`). The cache\n/// writes `<root>/<directory>/<stem>.body` and `<root>/<directory>/<stem>.url`.\n#[derive(Debug, Clone, PartialEq, Eq)]\npub struct CacheLocation {\n pub directory: PathBuf,\n pub stem: String,\n}\n\n/// Decide the cache location for a URL.\n///\n/// The mapping is best-effort: well-known Wikidata / Wiktionary URLs land\n/// under human-readable semantic folders, and anything else falls back to\n/// a hashed bucket so we never refuse to cache a response.\n#[must_use]\npub fn cache_location(url: &str) -> CacheLocation {\n if let Some(location) = classify_wiktionary(url) {\n return location;\n }\n if let Some(location) = classify_wikidata(url) {\n return location;\n }\n CacheLocation {\n directory: PathBuf::from(\"http-cache\").join(\"misc\"),\n stem: cache_key(url),\n }\n}\n\nfn classify_wiktionary(url: &str) -> Option<CacheLocation> {\n let host_start = url.find(\"://\")? + 3;\n let after_scheme = &url[host_start..];\n let dot = after_scheme.find('.')?;\n let host_end = after_scheme.find('/').unwrap_or(after_scheme.len());\n let host_rest = &after_scheme[dot..host_end];\n if !host_rest.starts_with(\".wiktionary.org\") {\n return None;\n }\n let lang = sanitize_segment(&after_scheme[..dot]);\n let page = wiktionary_page_from_url(url).unwrap_or_else(|| cache_key(url));\n Some(CacheLocation {\n directory: PathBuf::from(\"wiktionary-cache\").join(lang),\n stem: page,\n })\n}\n\nfn wiktionary_page_from_url(url: &str) -> Option<String> {\n // Pages are fetched via the `parse` API:\n // /w/api.php?action=parse&page=<title>&...\n let query_start = url.find('?')?;\n let query = &url[query_start + 1..];\n for pair in query.split('&') {\n if let Some(value) = pair.strip_prefix(\"page=\") {\n let decoded = percent_decode(value);\n if !decoded.is_empty() {\n return Some(sanitize_segment(&decoded));\n }\n }\n }\n None\n}\n\nfn classify_wikidata(url: &str) -> Option<CacheLocation> {\n if !url.contains(\"wikidata.org\") {\n return None;\n }\n let query_start = url.find('?')?;\n let query = &url[query_start + 1..];\n let mut action: Option<String> = None;\n let mut srsearch: Option<String> = None;\n let mut ids: Option<String> = None;\n let mut sparql: Option<String> = None;\n let mut titles: Option<String> = None;\n for pair in query.split('&') {\n if let Some(value) = pair.strip_prefix(\"action=\") {\n action = Some(percent_decode(value));\n } else if let Some(value) = pair.strip_prefix(\"srsearch=\") {\n srsearch = Some(percent_decode(value));\n } else if let Some(value) = pair.strip_prefix(\"ids=\") {\n ids = Some(percent_decode(value));\n } else if let Some(value) = pair.strip_prefix(\"query=\") {\n sparql = Some(percent_decode(value));\n } else if let Some(value) = pair.strip_prefix(\"titles=\") {\n titles = Some(percent_decode(value));\n }\n }\n if sparql.is_some() || url.contains(\"/sparql\") || url.contains(\"query.wikidata.org\") {\n return Some(CacheLocation {\n directory: PathBuf::from(\"wikidata-cache\").join(\"sparql\"),\n stem: cache_key(url),\n });\n }\n let stem = match action.as_deref() {\n Some(\"wbsearchentities\") => srsearch\n .as_deref()\n .map_or_else(|| cache_key(url), sanitize_segment),\n Some(\"wbgetentities\" | \"query\") => ids\n .as_deref()\n .or(titles.as_deref())\n .map_or_else(|| cache_key(url), sanitize_segment),\n _ => cache_key(url),\n };\n let sub = match action.as_deref() {\n Some(\"wbsearchentities\") => \"search\",\n Some(\"wbgetentities\") => \"entities\",\n Some(\"query\") => \"query\",\n _ => \"misc\",\n };\n Some(CacheLocation {\n directory: PathBuf::from(\"wikidata-cache\").join(sub),\n stem,\n })\n}\n\nfn sanitize_segment(value: &str) -> String {\n let mut out = String::with_capacity(value.len());\n for ch in value.chars() {\n if ch.is_alphanumeric() || matches!(ch, '-' | '_' | '.') {\n out.push(ch);\n } else if ch == ' ' || ch == '+' {\n out.push('_');\n } else {\n out.push('-');\n }\n }\n if out.len() > 96 {\n // Avoid blowing past common filesystem name limits when a SPARQL\n // search returns a freakishly long title.\n out.truncate(96);\n out.push('~');\n out.push_str(&cache_key(value)[..8]);\n }\n if out.is_empty() {\n cache_key(value)\n } else {\n out\n }\n}\n\nfn percent_decode(value: &str) -> String {\n let bytes = value.as_bytes();\n let mut out: Vec<u8> = Vec::with_capacity(bytes.len());\n let mut i = 0;\n while i < bytes.len() {\n let byte = bytes[i];\n if byte == b'%' && i + 2 < bytes.len() {\n let hi = hex_nibble(bytes[i + 1]);\n let lo = hex_nibble(bytes[i + 2]);\n if let (Some(hi), Some(lo)) = (hi, lo) {\n out.push((hi << 4) | lo);\n i += 3;\n continue;\n }\n }\n if byte == b'+' {\n out.push(b' ');\n } else {\n out.push(byte);\n }\n i += 1;\n }\n String::from_utf8_lossy(&out).into_owned()\n}\n\nconst fn hex_nibble(byte: u8) -> Option<u8> {\n match byte {\n b'0'..=b'9' => Some(byte - b'0'),\n b'a'..=b'f' => Some(byte - b'a' + 10),\n b'A'..=b'F' => Some(byte - b'A' + 10),\n _ => None,\n }\n}\n\n/// Compute a deterministic, filesystem-safe key for the cache.\n///\n/// Uses FNV-1a 64-bit which is stable across platforms and Rust versions.\n/// We do not need cryptographic strength — collisions are tolerable because\n/// the sibling `.url` file records the exact URL for audit.\n#[must_use]\npub fn cache_key(url: &str) -> String {\n let mut hash: u64 = 0xcbf2_9ce4_8422_2325;\n for byte in url.bytes() {\n hash ^= u64::from(byte);\n hash = hash.wrapping_mul(0x0000_0100_0000_01B3);\n }\n format!(\"{hash:016x}\")\n}\n\n/// Read the cache truthiness flag from the environment. Accepts `1`,\n/// `true`, `yes`, `on` (case-insensitive). Anything else is treated as\n/// disabled.\nfn live_api_enabled() -> bool {\n std::env::var(\"FORMAL_AI_LIVE_API\").is_ok_and(|value| {\n matches!(\n value.trim().to_ascii_lowercase().as_str(),\n \"1\" | \"true\" | \"yes\" | \"on\"\n )\n })\n}\n\nimpl<T: HttpClient> HttpClient for CachedHttpClient<T> {\n fn get(&self, url: &str) -> Result<String, HttpError> {\n let (body_path, meta_path) = self.cache_paths(url);\n if let Ok(body) = fs::read_to_string(&body_path) {\n return Ok(body);\n }\n if !self.online {\n return Err(HttpError::Transport(format!(\n \"translation cache miss for {url} and offline mode is active; \\\n set FORMAL_AI_LIVE_API=1 to fetch and populate the cache\",\n )));\n }\n let body = self.transport.get(url)?;\n let parent = body_path.parent().unwrap_or(&self.cache_dir);\n if let Err(error) = fs::create_dir_all(parent) {\n return Err(HttpError::Transport(format!(\n \"failed to create cache directory {}: {error}\",\n parent.display(),\n )));\n }\n if let Err(error) = fs::write(&body_path, &body) {\n return Err(HttpError::Transport(format!(\n \"failed to write cache body {}: {error}\",\n body_path.display(),\n )));\n }\n if let Err(error) = fs::write(&meta_path, url) {\n return Err(HttpError::Transport(format!(\n \"failed to write cache url marker {}: {error}\",\n meta_path.display(),\n )));\n }\n Ok(body)\n }\n}\n\n#[cfg(test)]\nmod tests {\n use super::*;\n use std::collections::HashMap;\n use std::sync::Mutex;\n\n struct StubHttp {\n responses: Mutex<HashMap<String, String>>,\n calls: Mutex<Vec<String>>,\n }\n\n impl StubHttp {\n fn new(responses: &[(&str, &str)]) -> Self {\n Self {\n responses: Mutex::new(\n responses\n .iter()\n .map(|(k, v)| ((*k).to_owned(), (*v).to_owned()))\n .collect(),\n ),\n calls: Mutex::new(Vec::new()),\n }\n }\n }\n\n impl HttpClient for StubHttp {\n fn get(&self, url: &str) -> Result<String, HttpError> {\n self.calls.lock().unwrap().push(url.to_owned());\n self.responses\n .lock()\n .unwrap()\n .get(url)\n .cloned()\n .ok_or_else(|| HttpError::Status {\n status: 404,\n body: format!(\"stub had no response for {url}\"),\n })\n }\n }\n\n fn temp_dir(slug: &str) -> PathBuf {\n let mut dir = std::env::temp_dir();\n dir.push(format!(\n \"formal-ai-cache-{slug}-{}\",\n std::process::id() ^ rand_u32()\n ));\n let _ = fs::create_dir_all(&dir);\n dir\n }\n\n fn rand_u32() -> u32 {\n // Cheap deterministic-ish randomness: use the system time in nanos.\n use std::time::{SystemTime, UNIX_EPOCH};\n u32::try_from(\n SystemTime::now()\n .duration_since(UNIX_EPOCH)\n .map_or(0, |d| u128::from(d.subsec_nanos())),\n )\n .unwrap_or(0)\n }\n\n #[test]\n fn cache_key_is_stable_across_runs() {\n let one = cache_key(\"https://example.com/foo\");\n let two = cache_key(\"https://example.com/foo\");\n assert_eq!(one, two);\n let other = cache_key(\"https://example.com/bar\");\n assert_ne!(one, other);\n }\n\n #[test]\n fn cache_hit_short_circuits_transport() {\n let dir = temp_dir(\"hit\");\n let cache = CachedHttpClient::new(&dir, StubHttp::new(&[])).with_online(false);\n // Pre-populate the cache by hand.\n let url = \"https://example.com/cached\";\n let (body_path, meta_path) = cache.cache_paths(url);\n fs::create_dir_all(body_path.parent().unwrap()).unwrap();\n fs::write(&body_path, \"cached body\").unwrap();\n fs::write(&meta_path, url).unwrap();\n assert_eq!(cache.get(url).unwrap(), \"cached body\");\n // Stub had no entry; if it had been called we'd see a 404.\n }\n\n #[test]\n fn cache_miss_offline_returns_transport_error() {\n let dir = temp_dir(\"offline-miss\");\n let cache = CachedHttpClient::new(&dir, StubHttp::new(&[])).with_online(false);\n let error = cache.get(\"https://example.com/missing\").unwrap_err();\n match error {\n HttpError::Transport(message) => {\n assert!(message.contains(\"cache miss\"), \"got: {message}\");\n assert!(message.contains(\"FORMAL_AI_LIVE_API\"), \"got: {message}\");\n }\n other @ HttpError::Status { .. } => {\n panic!(\"expected Transport error, got {other:?}\")\n }\n }\n }\n\n #[test]\n fn cache_miss_online_populates_and_returns_body() {\n let dir = temp_dir(\"online-miss\");\n let url = \"https://example.com/foo\";\n let stub = StubHttp::new(&[(url, \"fetched body\")]);\n let cache = CachedHttpClient::new(&dir, stub).with_online(true);\n assert_eq!(cache.get(url).unwrap(), \"fetched body\");\n // Second call should be a cache hit even if the stub disappears.\n let again = CachedHttpClient::new(&dir, StubHttp::new(&[])).with_online(false);\n assert_eq!(again.get(url).unwrap(), \"fetched body\");\n }\n\n #[test]\n fn cache_paths_use_semantic_subdirectories() {\n // Use a single-component relative root so the test stays\n // platform-agnostic: an absolute Unix-style path like `/tmp/...`\n // confuses Windows path parsing once we push backslash-separated\n // subdirs onto it.\n let dir = PathBuf::from(\"cache-root\");\n let cache = CachedHttpClient::new(&dir, StubHttp::new(&[])).with_online(false);\n let (body, meta) = cache.cache_paths(\"https://example.com/x\");\n assert!(\n body.extension()\n .is_some_and(|ext| ext.eq_ignore_ascii_case(\"body\")),\n \"got: {}\",\n body.display()\n );\n assert!(\n meta.extension()\n .is_some_and(|ext| ext.eq_ignore_ascii_case(\"url\")),\n \"got: {}\",\n meta.display()\n );\n // Unknown host → falls into the misc bucket so it is still cached.\n // Assert on the relative semantic directory directly to avoid any\n // platform-specific quirks of joining absolute paths.\n let location = cache_location(\"https://example.com/x\");\n assert_eq!(location.directory, PathBuf::from(\"http-cache\").join(\"misc\"),);\n assert!(!location.stem.is_empty());\n }\n\n #[test]\n fn wiktionary_url_lands_under_per_language_subdirectory() {\n let location = cache_location(\n \"https://en.wiktionary.org/w/api.php?action=parse&page=apple&prop=wikitext&formatversion=2&format=json&redirects=1\",\n );\n assert_eq!(\n location.directory,\n PathBuf::from(\"wiktionary-cache\").join(\"en\")\n );\n assert_eq!(location.stem, \"apple\");\n }\n\n #[test]\n fn wikidata_search_url_keyed_by_search_term() {\n let location = cache_location(\n \"https://www.wikidata.org/w/api.php?action=wbsearchentities&format=json&language=en&type=lexeme&srsearch=apple&limit=3\",\n );\n assert_eq!(\n location.directory,\n PathBuf::from(\"wikidata-cache\").join(\"search\")\n );\n assert_eq!(location.stem, \"apple\");\n }\n\n #[test]\n fn wikidata_sparql_url_lands_in_sparql_bucket() {\n let location = cache_location(\n \"https://query.wikidata.org/sparql?format=json&query=SELECT%20%3Flemma%20WHERE%20%7B%20%7D\",\n );\n assert_eq!(\n location.directory,\n PathBuf::from(\"wikidata-cache\").join(\"sparql\")\n );\n assert_eq!(location.stem.len(), 16);\n }\n}\n", | |
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| [2026-05-22T11:02:09.325Z] [INFO] [log_4533d7] sending request { | |
| [2026-05-22T11:02:09.325Z] [INFO] method: "post", | |
| [2026-05-22T11:02:09.326Z] [INFO] url: "https://api.anthropic.com/v1/messages?beta=true", | |
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| [2026-05-22T11:02:09.327Z] [INFO] method: "post", | |
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| [2026-05-22T11:02:09.327Z] [INFO] body: { | |
| [2026-05-22T11:02:09.327Z] [INFO] model: "claude-opus-4-7", | |
| [2026-05-22T11:02:09.328Z] [INFO] messages: [ | |
| [2026-05-22T11:02:09.328Z] [INFO] [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...] | |
| [2026-05-22T11:02:09.328Z] [INFO] ], | |
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| [2026-05-22T11:02:09.333Z] [INFO] timeout: 600000, | |
| [2026-05-22T11:02:09.333Z] [INFO] signal: AbortSignal { | |
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| [2026-05-22T11:02:09.335Z] [INFO] onabort: null, | |
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| [2026-05-22T11:02:09.337Z] [INFO] "anthropic-beta": "claude-code-20250219,oauth-2025-04-20,interleaved-thinking-2025-05-14,context-management-2025-06-27,prompt-caching-scope-2026-01-05,advisor-tool-2026-03-01,advanced-tool-use-2025-11-20,effort-2025-11-24,extended-cache-ttl-2025-04-11,cache-diagnosis-2026-04-07", | |
| [2026-05-22T11:02:09.337Z] [INFO] "anthropic-dangerous-direct-browser-access": "true", | |
| [2026-05-22T11:02:09.337Z] [INFO] "anthropic-version": "2023-06-01", | |
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| [2026-05-22T11:02:09.341Z] [INFO] "x-stainless-os": "Linux", | |
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| [2026-05-22T11:02:13.232Z] [INFO] [log_4533d7, request-id: "req_011CbHVbt9n8spduaRy9MEyo"] post https://api.anthropic.com/v1/messages?beta=true succeeded with status 200 in 3905ms | |
| [2026-05-22T11:02:13.232Z] [INFO] [log_4533d7] response start { | |
| [2026-05-22T11:02:13.232Z] [INFO] url: "https://api.anthropic.com/v1/messages?beta=true", | |
| [2026-05-22T11:02:13.233Z] [INFO] status: 200, | |
| [2026-05-22T11:02:13.233Z] [INFO] headers: { | |
| [2026-05-22T11:02:13.234Z] [INFO] "anthropic-organization-id": "ebc2ac93-f86f-4d15-aff3-de8830d8d789", | |
| [2026-05-22T11:02:13.235Z] [INFO] "anthropic-ratelimit-unified-5h-reset": "1779457800", | |
| [2026-05-22T11:02:13.235Z] [INFO] "anthropic-ratelimit-unified-5h-status": "allowed", | |
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| [2026-05-22T11:02:13.236Z] [INFO] "anthropic-ratelimit-unified-7d-reset": "1779793200", | |
| [2026-05-22T11:02:13.237Z] [INFO] "anthropic-ratelimit-unified-7d-status": "allowed", | |
| [2026-05-22T11:02:13.237Z] [INFO] "anthropic-ratelimit-unified-7d-utilization": "0.71", | |
| [2026-05-22T11:02:13.237Z] [INFO] "anthropic-ratelimit-unified-fallback-percentage": "0.5", | |
| [2026-05-22T11:02:13.238Z] [INFO] "anthropic-ratelimit-unified-overage-disabled-reason": "org_level_disabled", | |
| [2026-05-22T11:02:13.238Z] [INFO] "anthropic-ratelimit-unified-overage-status": "rejected", | |
| [2026-05-22T11:02:13.238Z] [INFO] "anthropic-ratelimit-unified-representative-claim": "five_hour", | |
| [2026-05-22T11:02:13.239Z] [INFO] "anthropic-ratelimit-unified-reset": "1779457800", | |
| [2026-05-22T11:02:13.239Z] [INFO] "anthropic-ratelimit-unified-status": "allowed", | |
| [2026-05-22T11:02:13.240Z] [INFO] "cache-control": "no-cache", | |
| [2026-05-22T11:02:13.241Z] [INFO] "cf-cache-status": "DYNAMIC", | |
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| [2026-05-22T11:02:13.243Z] [INFO] connection: "keep-alive", | |
| [2026-05-22T11:02:13.244Z] [INFO] "content-encoding": "gzip", | |
| [2026-05-22T11:02:13.244Z] [INFO] "content-security-policy": "default-src 'none'; frame-ancestors 'none'", | |
| [2026-05-22T11:02:13.245Z] [INFO] "content-type": "text/event-stream; charset=utf-8", | |
| [2026-05-22T11:02:13.245Z] [INFO] date: "Fri, 22 May 2026 11:02:13 GMT", | |
| [2026-05-22T11:02:13.246Z] [INFO] "request-id": "req_011CbHVbt9n8spduaRy9MEyo", | |
| [2026-05-22T11:02:13.246Z] [INFO] server: "cloudflare", | |
| [2026-05-22T11:02:13.246Z] [INFO] "strict-transport-security": "max-age=31536000; includeSubDomains; preload", | |
| [2026-05-22T11:02:13.246Z] [INFO] traceresponse: "00-7ee1242a9dd46127cd4a5ded6c8e7fb7-8f1b34ecee418e6b-01", | |
| [2026-05-22T11:02:13.247Z] [INFO] "transfer-encoding": "chunked", | |
| [2026-05-22T11:02:13.247Z] [INFO] vary: "Accept-Encoding", | |
| [2026-05-22T11:02:13.247Z] [INFO] "x-envoy-upstream-service-time": "3748", | |
| [2026-05-22T11:02:13.247Z] [INFO] "x-robots-tag": "none", | |
| [2026-05-22T11:02:13.247Z] [INFO] "set-cookie": "***", | |
| [2026-05-22T11:02:13.247Z] [INFO] }, | |
| [2026-05-22T11:02:13.248Z] [INFO] durationMs: 3905, | |
| [2026-05-22T11:02:13.248Z] [INFO] } | |
| [2026-05-22T11:02:13.248Z] [INFO] response 200 https://api.anthropic.com/v1/messages?beta=true Headers { | |
| [2026-05-22T11:02:13.248Z] [INFO] "date": "Fri, 22 May 2026 11:02:13 GMT", | |
| [2026-05-22T11:02:13.249Z] [INFO] "content-type": "text/event-stream; charset=utf-8", | |
| [2026-05-22T11:02:13.249Z] [INFO] "transfer-encoding": "chunked", | |
| [2026-05-22T11:02:13.249Z] [INFO] "connection": "keep-alive", | |
| [2026-05-22T11:02:13.249Z] [INFO] "cache-control": "no-cache", | |
| [2026-05-22T11:02:13.249Z] [INFO] "strict-transport-security": "max-age=31536000; includeSubDomains; preload", | |
| [2026-05-22T11:02:13.250Z] [INFO] "content-encoding": "gzip", | |
| [2026-05-22T11:02:13.250Z] [INFO] "vary": "Accept-Encoding", | |
| [2026-05-22T11:02:13.250Z] [INFO] "content-security-policy": "default-src 'none'; frame-ancestors 'none'", | |
| [2026-05-22T11:02:13.250Z] [INFO] "set-cookie": [ "_cfuvid=QRMQfe3ACSzZbTFQfzyS_oPFUs1yCKyE2tiRp8Da4Vk-1779447729.3334153-1.0.1.1-528zZy99QlhL8n_koF270iqrO0rd3S7n8VLKGP9Tf34; HttpOnly; SameSite=None; Secure; Path=/; Domain=api.anthropic.com" ], | |
| [2026-05-22T11:02:13.251Z] [INFO] "anthropic-ratelimit-unified-status": "allowed", | |
| [2026-05-22T11:02:13.251Z] [INFO] "anthropic-ratelimit-unified-5h-status": "allowed", | |
| [2026-05-22T11:02:13.251Z] [INFO] "anthropic-ratelimit-unified-5h-reset": "1779457800", | |
| [2026-05-22T11:02:13.251Z] [INFO] "anthropic-ratelimit-unified-5h-utilization": "0.08", | |
| [2026-05-22T11:02:13.252Z] [INFO] "anthropic-ratelimit-unified-7d-status": "allowed", | |
| [2026-05-22T11:02:13.252Z] [INFO] "anthropic-ratelimit-unified-7d-reset": "1779793200", | |
| [2026-05-22T11:02:13.252Z] [INFO] "anthropic-ratelimit-unified-7d-utilization": "0.71", | |
| [2026-05-22T11:02:13.252Z] [INFO] "anthropic-ratelimit-unified-representative-claim": "five_hour", | |
| [2026-05-22T11:02:13.252Z] [INFO] "anthropic-ratelimit-unified-fallback-percentage": "0.5", | |
| [2026-05-22T11:02:13.253Z] [INFO] "anthropic-ratelimit-unified-reset": "1779457800", | |
| [2026-05-22T11:02:13.253Z] [INFO] "anthropic-ratelimit-unified-overage-disabled-reason": "org_level_disabled", | |
| [2026-05-22T11:02:13.253Z] [INFO] "anthropic-ratelimit-unified-overage-status": "rejected", | |
| [2026-05-22T11:02:13.253Z] [INFO] "request-id": "req_011CbHVbt9n8spduaRy9MEyo", | |
| [2026-05-22T11:02:13.254Z] [INFO] "anthropic-organization-id": "ebc2ac93-f86f-4d15-aff3-de8830d8d789", | |
| [2026-05-22T11:02:13.255Z] [INFO] "traceresponse": "00-7ee1242a9dd46127cd4a5ded6c8e7fb7-8f1b34ecee418e6b-01", | |
| [2026-05-22T11:02:13.256Z] [INFO] "server": "cloudflare", | |
| [2026-05-22T11:02:13.256Z] [INFO] "x-envoy-upstream-service-time": "3748", | |
| [2026-05-22T11:02:13.258Z] [INFO] "cf-cache-status": "DYNAMIC", | |
| [2026-05-22T11:02:13.258Z] [INFO] "x-robots-tag": "none", | |
| [2026-05-22T11:02:13.259Z] [INFO] "cf-ray": "9ffb53b458f735f6-FRA", | |
| [2026-05-22T11:02:13.261Z] [INFO] } ReadableStream { | |
| [2026-05-22T11:02:13.262Z] [INFO] blob: [Function: blob], | |
| [2026-05-22T11:02:13.265Z] [INFO] bytes: [Function: bytes], | |
| [2026-05-22T11:02:13.266Z] [INFO] cancel: [Function], | |
| [2026-05-22T11:02:13.267Z] [INFO] getReader: [Function], | |
| [2026-05-22T11:02:13.267Z] [INFO] json: [Function: json], | |
| [2026-05-22T11:02:13.269Z] [INFO] locked: [Getter], | |
| [2026-05-22T11:02:13.270Z] [INFO] pipeThrough: [Function], | |
| [2026-05-22T11:02:13.270Z] [INFO] pipeTo: [Function], | |
| [2026-05-22T11:02:13.270Z] [INFO] tee: [Function], | |
| [2026-05-22T11:02:13.271Z] [INFO] text: [Function: text], | |
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| [2026-05-22T11:02:13.272Z] [INFO] [log_4533d7] response parsed { | |
| [2026-05-22T11:02:13.272Z] [INFO] url: "https://api.anthropic.com/v1/messages?beta=true", | |
| [2026-05-22T11:02:13.272Z] [INFO] status: 200, | |
| [2026-05-22T11:02:13.272Z] [INFO] body: eh { | |
| [2026-05-22T11:02:13.273Z] [INFO] iterator: [AsyncGeneratorFunction: A], | |
| [2026-05-22T11:02:13.273Z] [INFO] controller: AbortController { | |
| [2026-05-22T11:02:13.273Z] [INFO] signal: [AbortSignal ...], | |
| [2026-05-22T11:02:13.274Z] [INFO] abort: [Function: abort], | |
| [2026-05-22T11:02:13.274Z] [INFO] }, | |
| [2026-05-22T11:02:13.274Z] [INFO] [Symbol(Symbol.asyncIterator)]: [Function], | |
| [2026-05-22T11:02:13.274Z] [INFO] tee: [Function: tee], | |
| [2026-05-22T11:02:13.274Z] [INFO] toReadableStream: [Function: toReadableStream], | |
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| [2026-05-22T11:02:13.275Z] [INFO] durationMs: 3905, | |
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| [2026-05-22T11:02:14.208Z] [INFO] "model": "claude-opus-4-7", | |
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| [2026-05-22T11:02:14.208Z] [INFO] "type": "message", | |
| [2026-05-22T11:02:14.208Z] [INFO] "role": "assistant", | |
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| [2026-05-22T11:02:14.208Z] [INFO] { | |
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| [2026-05-22T11:02:14.208Z] [INFO] }, | |
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| [2026-05-22T11:02:14.208Z] [INFO] } | |
| [2026-05-22T11:02:14.208Z] [INFO] } | |
| [2026-05-22T11:02:14.208Z] [INFO] ], | |
| [2026-05-22T11:02:14.208Z] [INFO] "stop_reason": null, | |
| [2026-05-22T11:02:14.208Z] [INFO] "stop_sequence": null, | |
| [2026-05-22T11:02:14.208Z] [INFO] "stop_details": null, | |
| [2026-05-22T11:02:14.208Z] [INFO] "usage": { | |
| [2026-05-22T11:02:14.208Z] [INFO] "input_tokens": 1, | |
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| [2026-05-22T11:02:14.208Z] [INFO] "cache_read_input_tokens": 50133, | |
| [2026-05-22T11:02:14.208Z] [INFO] "cache_creation": { | |
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| [2026-05-22T11:02:14.208Z] [INFO] "parent_tool_use_id": null, | |
| [2026-05-22T11:02:14.208Z] [INFO] "session_id": "fc52c6ca-d477-420d-9611-9ba0f4f20913", | |
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| [2026-05-22T11:02:14.208Z] [INFO] "request_id": "req_011CbHVbt9n8spduaRy9MEyo" | |
| [2026-05-22T11:02:14.208Z] [INFO] } | |
| [2026-05-22T11:02:14.212Z] [INFO] [log_2a8af0] sending request { | |
| [2026-05-22T11:02:14.213Z] [INFO] method: "post", | |
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| [2026-05-22T11:02:14.214Z] [INFO] options: { | |
| [2026-05-22T11:02:14.214Z] [INFO] method: "post", | |
| [2026-05-22T11:02:14.215Z] [INFO] path: "/v1/messages/count_tokens?beta=true", | |
| [2026-05-22T11:02:14.215Z] [INFO] body: { | |
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| [2026-05-22T11:02:14.216Z] [INFO] messages: [ | |
| [2026-05-22T11:02:14.216Z] [INFO] [Object ...] | |
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| [2026-05-22T11:02:14.218Z] [INFO] tools: [], | |
| [2026-05-22T11:02:14.218Z] [INFO] }, | |
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| [2026-05-22T11:02:14.220Z] [INFO] headers: { | |
| [2026-05-22T11:02:14.220Z] [INFO] accept: "application/json", | |
| [2026-05-22T11:02:14.221Z] [INFO] "anthropic-beta": "claude-code-20250219,oauth-2025-04-20,interleaved-thinking-2025-05-14,context-management-2025-06-27,token-counting-2024-11-01", | |
| [2026-05-22T11:02:14.222Z] [INFO] "anthropic-dangerous-direct-browser-access": "true", | |
| [2026-05-22T11:02:14.222Z] [INFO] "anthropic-version": "2023-06-01", | |
| [2026-05-22T11:02:14.223Z] [INFO] authorization: "***", | |
| [2026-05-22T11:02:14.223Z] [INFO] "content-type": "application/json", | |
| [2026-05-22T11:02:14.223Z] [INFO] "user-agent": "claude-cli/2.1.147 (external, sdk-cli)", | |
| [2026-05-22T11:02:14.223Z] [INFO] "x-app": "cli", | |
| [2026-05-22T11:02:14.224Z] [INFO] "x-claude-code-session-id": "fc52c6ca-d477-420d-9611-9ba0f4f20913", | |
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| [2026-05-22T11:02:14.224Z] [INFO] "x-stainless-lang": "js", | |
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| [2026-05-22T11:02:14.225Z] [INFO] "x-stainless-package-version": "0.94.0", | |
| [2026-05-22T11:02:14.225Z] [INFO] "x-stainless-retry-count": "0", | |
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| [2026-05-22T11:02:14.465Z] [INFO] [log_2a8af0, request-id: "req_011CbHVcEwC2RH6MGDTX7v9p"] post https://api.anthropic.com/v1/messages/count_tokens?beta=true succeeded with status 200 in 252ms | |
| [2026-05-22T11:02:14.465Z] [INFO] [log_2a8af0] response start { | |
| [2026-05-22T11:02:14.466Z] [INFO] url: "https://api.anthropic.com/v1/messages/count_tokens?beta=true", | |
| [2026-05-22T11:02:14.467Z] [INFO] status: 200, | |
| [2026-05-22T11:02:14.467Z] [INFO] headers: { | |
| [2026-05-22T11:02:14.467Z] [INFO] "anthropic-organization-id": "ebc2ac93-f86f-4d15-aff3-de8830d8d789", | |
| [2026-05-22T11:02:14.467Z] [INFO] "cf-cache-status": "DYNAMIC", | |
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| [2026-05-22T11:02:14.468Z] [INFO] connection: "keep-alive", | |
| [2026-05-22T11:02:14.469Z] [INFO] "content-length": "22", | |
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| [2026-05-22T11:02:14.469Z] [INFO] "content-type": "application/json", | |
| [2026-05-22T11:02:14.471Z] [INFO] date: "Fri, 22 May 2026 11:02:14 GMT", | |
| [2026-05-22T11:02:14.471Z] [INFO] "request-id": "req_011CbHVcEwC2RH6MGDTX7v9p", | |
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| [2026-05-22T11:02:14.476Z] [INFO] durationMs: 252, | |
| [2026-05-22T11:02:14.477Z] [INFO] } | |
| [2026-05-22T11:02:14.477Z] [INFO] [log_2a8af0] response parsed { | |
| [2026-05-22T11:02:14.477Z] [INFO] url: "https://api.anthropic.com/v1/messages/count_tokens?beta=true", | |
| [2026-05-22T11:02:14.478Z] [INFO] status: 200, | |
| [2026-05-22T11:02:14.478Z] [INFO] body: { | |
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| [2026-05-22T11:02:14.479Z] [INFO] _request_id: "req_011CbHVcEwC2RH6MGDTX7v9p", | |
| [2026-05-22T11:02:14.479Z] [INFO] }, | |
| [2026-05-22T11:02:14.480Z] [INFO] durationMs: 253, | |
| [2026-05-22T11:02:14.480Z] [INFO] } | |
| [2026-05-22T11:02:14.482Z] [INFO] { | |
| [2026-05-22T11:02:14.482Z] [INFO] "type": "user", | |
| [2026-05-22T11:02:14.482Z] [INFO] "message": { | |
| [2026-05-22T11:02:14.482Z] [INFO] "role": "user", | |
| [2026-05-22T11:02:14.482Z] [INFO] "content": [ | |
| [2026-05-22T11:02:14.482Z] [INFO] { | |
| [2026-05-22T11:02:14.482Z] [INFO] "tool_use_id": "toolu_01R83cQmAeMjQ6V2kgCJoUnd", | |
| [2026-05-22T11:02:14.482Z] [INFO] "type": "tool_result", | |
| [2026-05-22T11:02:14.482Z] [INFO] "content": "1\t//! Translation pipeline.\n2\t//!\n3\t//! Public entry point: [`TranslationPipeline::translate`].\n4\t//!\n5\t//! ## Stages\n6\t//!\n7\t//! 1. **Formalize** — `formalize(source_surface, source_lang)` projects the\n8\t//! natural-language surface into a [`MeaningId`] by consulting\n9\t//! Wiktionary (for the page that defines the lemma) and Wikidata\n10\t//! (for the language-neutral Q-item or Lexeme sense). The\n11\t//! [`MeaningId`] is the semantic meta-language identifier; it never\n12\t//! embeds any single language.\n13\t//!\n14\t//! 2. **Deformalize** — `deformalize(meaning_id, target_lang)` renders a\n15\t//! surface form in the target language by:\n16\t//!\n17\t//! a. running a Wikidata SPARQL lexeme-join (P5137) when the meaning\n18\t//! is backed by a Wikidata lexeme, **or**\n19\t//!\n20\t//! b. parsing the source-edition Wiktionary translation table for\n21\t//! the target language code, **or**\n22\t//!\n23\t//! c. parsing the target-edition Wiktionary's `=== Перевод ===` /\n24\t//! `===Translations===` block in reverse.\n25\t//!\n26\t//! Each strategy is recorded as a `provenance` entry on\n27\t//! [`Translation`], so the resulting links-notation trace shows\n28\t//! exactly which API responses fed the answer.\n29\t\n30\tuse super::dictionary;\n31\tuse super::http::{HttpClient, HttpError};\n32\tuse super::meaning::MeaningId;\n33\tuse super::wikidata::Wikidata;\n34\tuse super::wiktionary::{Wiktionary, WiktionaryCandidate};\n35\t\n36\t/// `true` when `FORMAL_AI_TRANSLATION_DEBUG=1` is set in the environment.\n37\t///\n38\t/// Reading the env var on every call would be wasteful, but tests rely on\n39\t/// per-process toggling, so we re-check each call here (cheap stdlib lookup).\n40\tfn translation_debug_enabled() -> bool {\n41\t std::env::var(\"FORMAL_AI_TRANSLATION_DEBUG\")\n42\t .ok()\n43\t .is_some_and(|value| !value.is_empty() && value != \"0\")\n44\t}\n45\t\n46\t/// Emit a structured debug line to stderr when\n47\t/// `FORMAL_AI_TRANSLATION_DEBUG=1`. Used to trace each pipeline stage\n48\t/// when investigating issues like #221 (common-noun translation gaps).\n49\tfn translation_debug(stage: &str, message: &str) {\n50\t if translation_debug_enabled() {\n51\t eprintln!(\"[formal-ai translation] {stage}: {message}\");\n52\t }\n53\t}\n54\t\n55\t/// Known polysemy fixes. The Wikidata SPARQL lexeme join (`P5137`)\n56\t/// returns the first matching lexeme regardless of part of speech, so\n57\t/// common noun ↔ verb homographs (e.g. English `milk` → Russian\n58\t/// `доить` \"to milk\", `water` → `поливать` \"to water\") land on the\n59\t/// verb. The long-term fix is restricting the join by lexical category\n60\t/// (tracked in `docs/case-studies/issue-221/README.md`'s \"Future\n61\t/// work\"), but for the demo we over-ride the affected entries with the\n62\t/// canonical noun translation. Each tuple is\n63\t/// `(source_lang, lemma_lower, target_lang, canonical_noun_surface)`.\n64\tconst POLYSEMY_OVERRIDES: &[(&str, &str, &str, &str)] = &[\n65\t // English nouns where Wikidata returned the verb lexeme in Russian.\n66\t (\"en\", \"milk\", \"ru\", \"молоко\"),\n67\t (\"en\", \"water\", \"ru\", \"вода\"),\n68\t (\"en\", \"house\", \"ru\", \"дом\"),\n69\t (\"en\", \"dog\", \"ru\", \"собака\"),\n70\t (\"en\", \"fish\", \"ru\", \"рыба\"),\n71\t (\"en\", \"friend\", \"ru\", \"друг\"),\n72\t (\"en\", \"phone\", \"ru\", \"телефон\"),\n73\t (\"en\", \"salt\", \"ru\", \"соль\"),\n74\t (\"en\", \"grape\", \"ru\", \"виноград\"),\n75\t // English nouns whose Chinese lexeme was wrong / overly literal.\n76\t (\"en\", \"cat\", \"zh\", \"貓\"),\n77\t (\"en\", \"mother\", \"zh\", \"母親\"),\n78\t (\"en\", \"language\", \"zh\", \"語言\"),\n79\t (\"en\", \"moon\", \"zh\", \"月亮\"),\n80\t (\"en\", \"chicken\", \"zh\", \"雞\"),\n81\t (\"en\", \"bird\", \"zh\", \"鳥\"),\n82\t (\"en\", \"child\", \"zh\", \"孩子\"),\n83\t (\"en\", \"country\", \"zh\", \"國家\"),\n84\t (\"en\", \"phone\", \"zh\", \"電話\"),\n85\t (\"en\", \"milk\", \"zh\", \"牛奶\"),\n86\t (\"en\", \"water\", \"zh\", \"水\"),\n87\t (\"en\", \"fish\", \"zh\", \"魚\"),\n88\t (\"en\", \"friend\", \"zh\", \"朋友\"),\n89\t (\"en\", \"house\", \"zh\", \"房子\"),\n90\t (\"en\", \"dog\", \"zh\", \"狗\"),\n91\t // English nouns where the Hindi lexeme was missing or verb-shaped.\n92\t (\"en\", \"phone\", \"hi\", \"फ़ोन\"),\n93\t // Russian nouns where the ru→en mapping landed on a non-canonical\n94\t // English noun (e.g. язык → \"tongue\" rather than \"language\").\n95\t (\"ru\", \"язык\", \"en\", \"language\"),\n96\t (\"ru\", \"телефон\", \"en\", \"phone\"),\n97\t];\n98\t\n99\t/// Apply [`POLYSEMY_OVERRIDES`] to a candidate list: if a (source,\n100\t/// surface, target) triple matches, move the canonical noun to the\n101\t/// front so [`Translation::primary_surface`] returns it.\n102\tfn apply_polysemy_override(\n103\t surface: &str,\n104\t source_lang: &str,\n105\t target_lang: &str,\n106\t candidates: &mut Vec<WiktionaryCandidate>,\n107\t provenance: &mut Vec<String>,\n108\t) {\n109\t let key = surface.to_lowercase();\n110\t for (src, lemma, tgt, canonical) in POLYSEMY_OVERRIDES {\n111\t if *src == source_lang && *tgt == target_lang && *lemma == key {\n112\t // Remove existing entries for the canonical surface, then\n113\t // push it at the front.\n114\t candidates.retain(|c| c.surface != *canonical);\n115\t candidates.insert(\n116\t 0,\n117\t WiktionaryCandidate {\n118\t surface: (*canonical).to_owned(),\n119\t qualifier: None,\n120\t },\n121\t );\n122\t provenance.push(format!(\n123\t \"polysemy-override:{src}:{lemma}->{tgt}:{canonical}\"\n124\t ));\n125\t translation_debug(\n126\t \"polysemy\",\n127\t &format!(\"override {src}:{lemma}->{tgt} = {canonical}\"),\n128\t );\n129\t return;\n130\t }\n131\t }\n132\t}\n133\t\n134\t/// Result of a translation request.\n135\t#[derive(Debug, Clone, PartialEq, Eq)]\n136\tpub struct Translation {\n137\t pub source_surface: String,\n138\t pub source_lang: String,\n139\t pub target_lang: String,\n140\t pub meaning: MeaningId,\n141\t pub candidates: Vec<WiktionaryCandidate>,\n142\t pub provenance: Vec<String>,\n143\t}\n144\t\n145\timpl Translation {\n146\t /// The best target-language surface form. Picks the first\n147\t /// unqualified candidate, falling back to the first candidate.\n148\t #[must_use]\n149\t pub fn primary_surface(&self) -> Option<&str> {\n150\t self.candidates\n151\t .iter()\n152\t .find(|c| c.qualifier.is_none())\n153\t .or_else(|| self.candidates.first())\n154\t .map(|c| c.surface.as_str())\n155\t }\n156\t}\n157\t\n158\t/// Translation pipeline. Borrows a single HTTP client (typically a\n159\t/// `CachedHttpClient`) for every Wiktionary and Wikidata call.\n160\tpub struct TranslationPipeline<'a, T: HttpClient + ?Sized> {\n161\t http: &'a T,\n162\t}\n163\t\n164\timpl<'a, T: HttpClient + ?Sized> TranslationPipeline<'a, T> {\n165\t pub const fn new(http: &'a T) -> Self {\n166\t Self { http }\n167\t }\n168\t\n169\t /// Translate `surface` from `source_lang` to `target_lang`.\n170\t ///\n171\t /// Returns `Ok(Translation)` even when the candidate list is empty\n172\t /// — callers can detect translation gaps by inspecting\n173\t /// [`Translation::candidates`].\n174\t pub fn translate(\n175\t &self,\n176\t surface: &str,\n177\t source_lang: &str,\n178\t target_lang: &str,\n179\t ) -> Result<Translation, HttpError> {\n180\t translation_debug(\n181\t \"translate\",\n182\t &format!(\"start surface={surface:?} {source_lang}->{target_lang}\"),\n183\t );\n184\t if source_lang == target_lang {\n185\t translation_debug(\"translate\", \"identity (source==target)\");\n186\t return Ok(Translation {\n187\t source_surface: surface.to_owned(),\n188\t source_lang: source_lang.to_owned(),\n189\t target_lang: target_lang.to_owned(),\n190\t meaning: MeaningId::from_wiktionary_page(source_lang, surface),\n191\t candidates: vec![WiktionaryCandidate {\n192\t surface: surface.to_owned(),\n193\t qualifier: None,\n194\t }],\n195\t provenance: vec![\"identity\".to_owned()],\n196\t });\n197\t }\n198\t\n199\t let mut provenance: Vec<String> = Vec::new();\n200\t let page_title = normalize_page_title(surface);\n201\t translation_debug(\"translate\", &format!(\"page_title={page_title:?}\"));\n202\t\n203\t // Stage 0: consult the offline dictionary first. The 128-noun\n204\t // `.lino` registry catches the most frequent words without a\n205\t // network round trip, which keeps the browser worker responsive\n206\t // and CI deterministic. Misses fall through to the live HTTP\n207\t // stages below; the same surface is matched against the entry's\n208\t // canonical lemma and its inflected aliases.\n209\t let dict = dictionary::shared();\n210\t if let Some(target_surface) = dict.lookup(&page_title, source_lang, target_lang) {\n211\t let lemma = dict\n212\t .lemma(&page_title, source_lang)\n213\t .unwrap_or(page_title.as_str());\n214\t provenance.push(format!(\n215\t \"dictionary:{source_lang}:{lemma}->{target_lang}:{target_surface}\"\n216\t ));\n217\t translation_debug(\n218\t \"stage0\",\n219\t &format!(\"dictionary hit {source_lang}:{lemma}->{target_lang}:{target_surface}\"),\n220\t );\n221\t return Ok(Translation {\n222\t source_surface: surface.to_owned(),\n223\t source_lang: source_lang.to_owned(),\n224\t target_lang: target_lang.to_owned(),\n225\t meaning: MeaningId::from_wiktionary_page(source_lang, lemma),\n226\t candidates: vec![WiktionaryCandidate {\n227\t surface: target_surface.to_owned(),\n228\t qualifier: None,\n229\t }],\n230\t provenance,\n231\t });\n232\t }\n233\t\n234\t // Stage 1: formalize — fetch the source-edition Wiktionary page.\n235\t // This single fetch usually carries translations for every target\n236\t // language, grouped by sense (one block per `{{trans-top}}` on\n237\t // English Wiktionary, one per `{{перев-блок}}` on Russian).\n238\t let source_wiktionary = Wiktionary::new(source_lang, self.http);\n239\t let mut blocks: Vec<Vec<WiktionaryCandidate>> = Vec::new();\n240\t let mut meaning = MeaningId::from_wiktionary_page(source_lang, &page_title);\n241\t match source_wiktionary.translation_blocks(&page_title, target_lang) {\n242\t Ok(found) => {\n243\t provenance.push(format!(\n244\t \"wiktionary:{source_lang}:{page_title}#translations->{target_lang}\"\n245\t ));\n246\t translation_debug(\"stage1\", &format!(\"source-edition blocks={}\", found.len()));\n247\t if !found.is_empty() {\n248\t blocks = found;\n249\t }\n250\t }\n251\t Err(error) => {\n252\t provenance.push(format!(\n253\t \"wiktionary:{source_lang}:{page_title}#translations->error({error})\",\n254\t ));\n255\t translation_debug(\"stage1\", &format!(\"source-edition error: {error}\"));\n256\t }\n257\t }\n258\t\n259\t // Stage 1a: many high-traffic pages keep translations on a\n260\t // `/translations` subpage (`{{see translation subpage|...}}`).\n261\t // Try that subpage when the main page yielded nothing.\n262\t if blocks.is_empty() {\n263\t let subpage = format!(\"{page_title}/translations\");\n264\t match source_wiktionary.translation_blocks(&subpage, target_lang) {\n265\t Ok(found) if !found.is_empty() => {\n266\t provenance.push(format!(\n267\t \"wiktionary:{source_lang}:{subpage}#translations->{target_lang}\"\n268\t ));\n269\t blocks = found;\n270\t }\n271\t Ok(_) => {}\n272\t Err(error) => {\n273\t provenance.push(format!(\n274\t \"wiktionary:{source_lang}:{subpage}#translations->error({error})\",\n275\t ));\n276\t }\n277\t }\n278\t }\n279\t\n280\t // Stage 1b: when the source-edition table came up empty, try the\n281\t // target-edition Wiktionary in reverse. The target page lists\n282\t // the source language under its own translation block — useful\n283\t // when the source edition is sparse (common for ru → en).\n284\t if blocks.is_empty() {\n285\t if let Some(reverse) = reverse_lookup(\n286\t self.http,\n287\t surface,\n288\t source_lang,\n289\t target_lang,\n290\t &mut provenance,\n291\t ) {\n292\t blocks = reverse;\n293\t }\n294\t }\n295\t\n296\t // Stage 1d: phrasal-variant fallback. Some natural phrases don't\n297\t // have their own Wiktionary entry (e.g. ru:\"как у тебя дела\") but\n298\t // a shorter canonical form does (ru:\"как дела\"). Generate\n299\t // alternate forms by stripping language-specific filler\n300\t // sub-phrases and retry Stages 1 + 1a + 1b on each variant. Stop\n301\t // at the first variant that produces at least one block.\n302\t let mut active_page_title = page_title.clone();\n303\t if blocks.is_empty() {\n304\t for variant in phrasal_variants(&page_title, source_lang) {\n305\t provenance.push(format!(\"wiktionary:{source_lang}:variant->{variant}\"));\n306\t match source_wiktionary.translation_blocks(&variant, target_lang) {\n307\t Ok(found) if !found.is_empty() => {\n308\t provenance.push(format!(\n309\t \"wiktionary:{source_lang}:{variant}#translations->{target_lang}\"\n310\t ));\n311\t blocks = found;\n312\t active_page_title.clone_from(&variant);\n313\t meaning = MeaningId::from_wiktionary_page(source_lang, &variant);\n314\t break;\n315\t }\n316\t Ok(_) => {}\n317\t Err(error) => {\n318\t provenance.push(format!(\n319\t \"wiktionary:{source_lang}:{variant}#translations->error({error})\"\n320\t ));\n321\t }\n322\t }\n323\t if let Some(reverse) = reverse_lookup(\n324\t self.http,\n325\t &variant,\n326\t source_lang,\n327\t target_lang,\n328\t &mut provenance,\n329\t ) {\n330\t blocks = reverse;\n331\t active_page_title.clone_from(&variant);\n332\t meaning = MeaningId::from_wiktionary_page(source_lang, &variant);\n333\t break;\n334\t }\n335\t }\n336\t }\n337\t\n338\t // Stage 1c: pick the most likely sense block when the source word\n339\t // is polysemous (multiple blocks). For each block, count how\n340\t // many candidates round-trip — that is, how many target-edition\n341\t // pages list the source surface as a translation. The block with\n342\t // the highest confirmation rate wins; ties fall back to source\n343\t // order.\n344\t let candidates = if blocks.is_empty() {\n345\t Vec::new()\n346\t } else {\n347\t select_best_block(\n348\t self.http,\n349\t &active_page_title,\n350\t source_lang,\n351\t target_lang,\n352\t &mut provenance,\n353\t blocks,\n354\t )\n355\t };\n356\t\n357\t // Stage 2: pull the Wikidata Q-item / Lexeme sense — even if\n358\t // we already have a translation surface, we want the trace to\n359\t // expose the canonical meaning id. Failures here do not block\n360\t // the translation.\n361\t let mut candidates = candidates;\n362\t if let Some(updated) = upgrade_meaning_via_wikidata(\n363\t self.http,\n364\t &active_page_title,\n365\t source_lang,\n366\t target_lang,\n367\t &mut provenance,\n368\t &mut candidates,\n369\t ) {\n370\t meaning = updated;\n371\t }\n372\t\n373\t if candidates.is_empty() {\n374\t candidates = compositional_candidates(\n375\t &active_page_title,\n376\t source_lang,\n377\t target_lang,\n378\t &mut provenance,\n379\t );\n380\t }\n381\t\n382\t // Polysemy: when the lemma is a known noun↔verb homograph,\n383\t // promote the canonical noun translation to the front of the\n384\t // candidate list. See [`POLYSEMY_OVERRIDES`].\n385\t apply_polysemy_override(\n386\t &active_page_title,\n387\t source_lang,\n388\t target_lang,\n389\t &mut candidates,\n390\t &mut provenance,\n391\t );\n392\t\n393\t translation_debug(\n394\t \"translate\",\n395\t &format!(\n396\t \"done candidates={} primary={:?} meaning={:?}\",\n397\t candidates.len(),\n398\t candidates\n399\t .iter()\n400\t .find(|c| c.qualifier.is_none())\n401\t .or_else(|| candidates.first())\n402\t .map(|c| c.surface.as_str()),\n403\t meaning,\n404\t ),\n405\t );\n406\t Ok(Translation {\n407\t source_surface: surface.to_owned(),\n408\t source_lang: source_lang.to_owned(),\n409\t target_lang: target_lang.to_owned(),\n410\t meaning,\n411\t candidates,\n412\t provenance,\n413\t })\n414\t }\n415\t}\n416\t\n417\t/// Try the target-edition Wiktionary in reverse. We open the page that\n418\t/// is most likely to *exist* on the target edition for the source word.\n419\t/// Russian Wiktionary, for instance, hosts pages for Russian words and\n420\t/// records their translations into other languages under\n421\t/// `=== Перевод ===`.\n422\tfn reverse_lookup<T: HttpClient + ?Sized>(\n423\t http: &T,\n424\t surface: &str,\n425\t source_lang: &str,\n426\t target_lang: &str,\n427\t provenance: &mut Vec<String>,\n428\t) -> Option<Vec<Vec<WiktionaryCandidate>>> {\n429\t let page_title = normalize_page_title(surface);\n430\t for edition in [source_lang, target_lang] {\n431\t let wiktionary = Wiktionary::new(edition, http);\n432\t match wiktionary.translation_blocks(&page_title, target_lang) {\n433\t Ok(blocks) if !blocks.is_empty() => {\n434\t provenance.push(format!(\n435\t \"wiktionary:{edition}:{page_title}#reverse->{target_lang}\"\n436\t ));\n437\t return Some(blocks);\n438\t }\n439\t Ok(_) => {}\n440\t Err(error) => {\n441\t provenance.push(format!(\n442\t \"wiktionary:{edition}:{page_title}#reverse->error({error})\"\n443\t ));\n444\t }\n445\t }\n446\t }\n447\t None\n448\t}\n449\t\n450\t/// Pick the best sense block from `blocks` by round-trip confirmation rate.\n451\t///\n452\t/// Each candidate's \"round-trip position\" is its index within the\n453\t/// target-edition block that contains the source surface (not the\n454\t/// flattened candidate list). Lower position = the target considers the\n455\t/// source more primary.\n456\t///\n457\t/// Block-level selection picks the block with the most round-trip\n458\t/// confirmations (ties broken by source order). Within the chosen block,\n459\t/// candidates are sorted by `(target_position_within_block, source_idx)`.\n460\t///\n461\t/// Worked example — `en:hello`:\n462\t/// - Block 0 (\"greeting\"): `привет` confirms at target-pos 0,\n463\t/// `здравствуйте` at target-pos 1. Two confirms.\n464\t/// - Block 1 (\"when answering the telephone\"): `алло` and `алё` confirm\n465\t/// at target-pos 0 and 1. Two confirms.\n466\t/// - Ties go to the earlier source block → block 0. Within block 0,\n467\t/// `привет` (target-pos 0) beats `здравствуйте` (target-pos 1).\n468\tfn select_best_block<T: HttpClient + ?Sized>(\n469\t http: &T,\n470\t page_title: &str,\n471\t source_lang: &str,\n472\t target_lang: &str,\n473\t provenance: &mut Vec<String>,\n474\t blocks: Vec<Vec<WiktionaryCandidate>>,\n475\t) -> Vec<WiktionaryCandidate> {\n476\t let target_wiktionary = Wiktionary::new(target_lang, http);\n477\t let mut block_positions: Vec<Vec<Option<usize>>> = Vec::with_capacity(blocks.len());\n478\t for (block_idx, block) in blocks.iter().enumerate() {\n479\t let mut positions: Vec<Option<usize>> = Vec::with_capacity(block.len());\n480\t for candidate in block {\n481\t let candidate_page = normalize_page_title(&candidate.surface);\n482\t if candidate_page.is_empty() {\n483\t positions.push(None);\n484\t continue;\n485\t }\n486\t let Ok(back_blocks) =\n487\t target_wiktionary.translation_blocks(&candidate_page, source_lang)\n488\t else {\n489\t positions.push(None);\n490\t continue;\n491\t };\n492\t // Within-block position: scan each block of the target page\n493\t // and record the position of the source surface inside the\n494\t // first block that contains it.\n495\t let mut within_block_position: Option<usize> = None;\n496\t for back_block in &back_blocks {\n497\t if let Some(pos) = back_block\n498\t .iter()\n499\t .position(|row| normalize_page_title(&row.surface) == page_title)\n500\t {\n501\t within_block_position = Some(pos);\n502\t break;\n503\t }\n504\t }\n505\t if let Some(pos) = within_block_position {\n506\t provenance.push(format!(\n507\t \"wiktionary:{target_lang}:{candidate_page}#confirms->{source_lang}:{page_title}@{pos}[block{block_idx}]\"\n508\t ));\n509\t }\n510\t positions.push(within_block_position);\n511\t }\n512\t block_positions.push(positions);\n513\t }\n514\t let mut best_block: usize = 0;\n515\t let mut best_confirms: usize = 0;\n516\t for (idx, positions) in block_positions.iter().enumerate() {\n517\t let confirms = positions.iter().filter(|p| p.is_some()).count();\n518\t if confirms > best_confirms {\n519\t best_confirms = confirms;\n520\t best_block = idx;\n521\t }\n522\t }\n523\t let block = blocks.into_iter().nth(best_block).unwrap_or_default();\n524\t let positions = block_positions\n525\t .into_iter()\n526\t .nth(best_block)\n527\t .unwrap_or_default();\n528\t let mut indexed: Vec<(usize, Option<usize>, WiktionaryCandidate)> = block\n529\t .into_iter()\n530\t .zip(positions)\n531\t .enumerate()\n532\t .map(|(idx, (cand, pos))| (idx, pos, cand))\n533\t .collect();\n534\t indexed.sort_by_key(|(idx, pos, _)| {\n535\t pos.as_ref()\n536\t .map_or((1usize, 0, *idx), |p| (0usize, *p, *idx))\n537\t });\n538\t indexed.into_iter().map(|(_, _, cand)| cand).collect()\n539\t}\n540\t\n541\t/// Upgrade a Wiktionary-only [`MeaningId`] to a Wikidata-backed one when\n542\t/// SPARQL returns a lexeme that matches the surface in the source\n543\t/// language. Also appends any extra lemma forms returned by the\n544\t/// translation query — they are stored as additional candidates so\n545\t/// callers can disambiguate (formal vs informal, dialect, etc).\n546\tfn upgrade_meaning_via_wikidata<T: HttpClient + ?Sized>(\n547\t http: &T,\n548\t page_title: &str,\n549\t source_lang: &str,\n550\t target_lang: &str,\n551\t provenance: &mut Vec<String>,\n552\t candidates: &mut Vec<WiktionaryCandidate>,\n553\t) -> Option<MeaningId> {\n554\t let wikidata = Wikidata::new(http);\n555\t let hits = match wikidata.search_lexeme(page_title, source_lang) {\n556\t Ok(hits) => hits,\n557\t Err(error) => {\n558\t provenance.push(format!(\"wikidata:search->error({error})\"));\n559\t return None;\n560\t }\n561\t };\n562\t let first = hits.first()?;\n563\t provenance.push(format!(\"wikidata:lexeme:{}\", first.id));\n564\t let lemmas = match wikidata.lexeme_translations(&first.id, target_lang) {\n565\t Ok(rows) => rows,\n566\t Err(error) => {\n567\t provenance.push(format!(\"wikidata:sparql->error({error})\"));\n568\t return Some(MeaningId::from_sense(first.id.clone()));\n569\t }\n570\t };\n571\t if !lemmas.is_empty() {\n572\t provenance.push(format!(\n573\t \"wikidata:sparql:{}->{} ({} lemmas)\",\n574\t first.id,\n575\t target_lang,\n576\t lemmas.len()\n577\t ));\n578\t }\n579\t for lemma in lemmas {\n580\t let candidate = WiktionaryCandidate {\n581\t surface: lemma.value,\n582\t qualifier: None,\n583\t };\n584\t if !candidates.iter().any(|c| c.surface == candidate.surface) {\n585\t candidates.push(candidate);\n586\t }\n587\t }\n588\t Some(MeaningId::from_sense(first.id.clone()))\n589\t}\n590\t\n591\tfn compositional_candidates(\n592\t page_title: &str,\n593\t source_lang: &str,\n594\t target_lang: &str,\n595\t provenance: &mut Vec<String>,\n596\t) -> Vec<WiktionaryCandidate> {\n597\t if !source_lang.eq_ignore_ascii_case(\"ru\") || !target_lang.eq_ignore_ascii_case(\"en\") {\n598\t return Vec::new();\n599\t }\n600\t\n601\t if let Some(surface) = russian_phrase_to_english(page_title) {\n602\t provenance.push(format!(\"compositional:ru->en:{page_title}\"));\n603\t return vec![WiktionaryCandidate {\n604\t surface: surface.to_owned(),\n605\t qualifier: None,\n606\t }];\n607\t }\n608\t\n609\t // The HTTP variant fallback already tried `phrasal_variants` against\n610\t // Wiktionary; reuse the same elision rules for the compositional\n611\t // table so politeness-marked phrases like `как у тебя дела` collapse\n612\t // to the canonical `как дела` entry.\n613\t for variant in phrasal_variants(page_title, source_lang) {\n614\t if let Some(surface) = russian_phrase_to_english(&variant) {\n615\t provenance.push(format!(\n616\t \"compositional:ru->en:{page_title}=>variant:{variant}\"\n617\t ));\n618\t return vec![WiktionaryCandidate {\n619\t surface: surface.to_owned(),\n620\t qualifier: None,\n621\t }];\n622\t }\n623\t }\n624\t\n625\t let words: Vec<&str> = page_title.split_whitespace().collect();\n626\t if !(2..=4).contains(&words.len()) {\n627\t return Vec::new();\n628\t }\n629\t\n630\t let mut translated = Vec::with_capacity(words.len());\n631\t for word in words {\n632\t let Some(surface) = russian_word_to_english(word) else {\n633\t return Vec::new();\n634\t };\n635\t translated.push(surface);\n636\t }\n637\t\n638\t let surface = capitalize_ascii_first(&translated.join(\" \"));\n639\t provenance.push(format!(\"compositional:ru->en:{page_title}\"));\n640\t vec![WiktionaryCandidate {\n641\t surface,\n642\t qualifier: None,\n643\t }]\n644\t}\n645\t\n646\tfn russian_phrase_to_english(page_title: &str) -> Option<&'static str> {\n647\t match page_title {\n648\t \"кто ты\" | \"кто ты такой\" | \"кто ты такая\" | \"кто вы\" | \"кто вы такой\" | \"кто вы такая\" => {\n649\t Some(\"Who are you?\")\n650\t }\n651\t \"что это\" | \"что это такое\" => Some(\"What is this?\"),\n652\t // Russian small-talk variants → \"how are you\". `phrasal_variants`\n653\t // strips the dative-of-possession infix (`у тебя`, `у вас`, …)\n654\t // so callers may arrive at the bare `как дела` form.\n655\t \"как дела\" => Some(\"how are you\"),\n656\t _ => None,\n657\t }\n658\t}\n659\t\n660\tfn russian_word_to_english(word: &str) -> Option<&'static str> {\n661\t match word {\n662\t \"доброе\" | \"добрый\" | \"добрая\" | \"добрые\" | \"доброго\" | \"добрую\" | \"добрым\" | \"хорошее\"\n663\t | \"хороший\" | \"хорошая\" | \"хорошие\" | \"хорошего\" | \"хорошую\" | \"хорошим\" => {\n664\t Some(\"good\")\n665\t }\n666\t \"яблоко\" | \"яблока\" | \"яблоку\" | \"яблоком\" | \"яблоке\" | \"яблоки\" | \"яблок\" | \"яблокам\"\n667\t | \"яблоками\" | \"яблоках\" => Some(\"apple\"),\n668\t _ => None,\n669\t }\n670\t}\n671\t\n672\tfn capitalize_ascii_first(surface: &str) -> String {\n673\t let mut chars = surface.chars();\n674\t let Some(first) = chars.next() else {\n675\t return String::new();\n676\t };\n677\t let mut out = String::with_capacity(surface.len());\n678\t out.extend(first.to_uppercase());\n679\t out.extend(chars);\n680\t out\n681\t}\n682\t\n683\t/// Generate alternate phrasal forms to retry when the original page is\n684\t/// missing on Wiktionary.\n685\t///\n686\t/// Languages differ in which optional words can be elided without\n687\t/// changing meaning. We encode the elisions per source language; for now\n688\t/// we cover Russian (`у тебя/у вас/у нас/...` infix between question word\n689\t/// and noun).\n690\t///\n691\t/// Variants are returned in priority order — the caller stops at the\n692\t/// first one that produces translations.\n693\t#[must_use]\n694\tpub fn phrasal_variants(page_title: &str, source_lang: &str) -> Vec<String> {\n695\t let mut variants: Vec<String> = Vec::new();\n696\t if source_lang.eq_ignore_ascii_case(\"ru\") {\n697\t // Russian dative-of-possession infix: `как у тебя дела` and\n698\t // `как у вас дела` collapse to the canonical `как дела`. This\n699\t // covers the politeness variants without changing semantics.\n700\t let pronouns = [\n701\t \"у тебя\",\n702\t \"у вас\",\n703\t \"у нас\",\n704\t \"у меня\",\n705\t \"у них\",\n706\t \"у него\",\n707\t \"у неё\",\n708\t \"у нее\",\n709\t ];\n710\t for pronoun in &pronouns {\n711\t // Strip the pronoun as a whole-word infix surrounded by spaces.\n712\t let needle = format!(\" {pronoun} \");\n713\t if let Some(idx) = page_title.find(&needle) {\n714\t let mut alt = String::with_capacity(page_title.len() - needle.len() + 1);\n715\t alt.push_str(&page_title[..idx]);\n716\t alt.push(' ');\n717\t alt.push_str(&page_title[idx + needle.len()..]);\n718\t let alt = alt.split_whitespace().collect::<Vec<_>>().join(\" \");\n719\t if !alt.is_empty() && alt != page_title && !variants.contains(&alt) {\n720\t variants.push(alt);\n721\t }\n722\t }\n723\t }\n724\t }\n725\t variants\n726\t}\n727\t\n728\t/// Normalize a surface fragment into a Wiktionary page title.\n729\t///\n730\t/// - Trim whitespace.\n731\t/// - Strip terminal punctuation (`?`, `!`, `.`, `。`, `？`, `！`).\n732\t/// - Lower-case the first letter (Wiktionary stores most page titles in\n733\t/// lower case for content words; redirects handle the capitalized\n734\t/// variants but we want a stable cache key).\n735\t#[must_use]\n736\tpub fn normalize_page_title(surface: &str) -> String {\n737\t let trimmed = surface\n738\t .trim()\n739\t .trim_end_matches(['?', '!', '.', '。', '？', '！', '．']);\n740\t let mut chars = trimmed.chars();\n741\t let Some(first) = chars.next() else {\n742\t return String::new();\n743\t };\n744\t let mut out = String::with_capacity(trimmed.len());\n745\t for character in first.to_lowercase() {\n746\t out.push(character);\n747\t }\n748\t out.extend(chars);\n749\t out\n750\t}\n751\t\n752\t#[cfg(test)]\n753\tmod tests {\n754\t use super::*;\n755\t use std::sync::Mutex;\n756\t\n757\t struct StubHttp {\n758\t responses: Mutex<std::collections::HashMap<String, String>>,\n759\t }\n760\t\n761\t impl StubHttp {\n762\t fn new(pairs: &[(&str, &str)]) -> Self {\n763\t Self {\n764\t responses: Mutex::new(\n765\t pairs\n766\t .iter()\n767\t .map(|(k, v)| ((*k).to_owned(), (*v).to_owned()))\n768\t .collect(),\n769\t ),\n770\t }\n771\t }\n772\t }\n773\t\n774\t impl HttpClient for StubHttp {\n775\t fn get(&self, url: &str) -> Result<String, HttpError> {\n776\t self.responses\n777\t .lock()\n778\t .unwrap()\n779\t .get(url)\n780\t .cloned()\n781\t .ok_or_else(|| HttpError::Status {\n782\t status: 404,\n783\t body: format!(\"no stubbed response for {url}\"),\n784\t })\n785\t }\n786\t }\n787\t\n788\t #[test]\n789\t fn normalize_page_title_strips_terminal_punctuation() {\n790\t assert_eq!(normalize_page_title(\"Hello!\"), \"hello\");\n791\t assert_eq!(normalize_page_title(\"как у тебя дела?\"), \"как у тебя дела\");\n792\t assert_eq!(normalize_page_title(\"你好？\"), \"你好\");\n793\t }\n794\t\n795\t #[test]\n796\t fn normalize_page_title_lowercases_first_letter() {\n797\t assert_eq!(normalize_page_title(\"Hello\"), \"hello\");\n798\t assert_eq!(normalize_page_title(\"Как дела\"), \"как дела\");\n799\t }\n800\t\n801\t #[test]\n802\t fn translate_identity_returns_self_with_identity_provenance() {\n803\t let http = StubHttp::new(&[]);\n804\t let pipeline = TranslationPipeline::new(&http);\n805\t let translation = pipeline.translate(\"hello\", \"en\", \"en\").unwrap();\n806\t assert_eq!(translation.primary_surface(), Some(\"hello\"));\n807\t assert_eq!(translation.provenance, vec![\"identity\".to_owned()]);\n808\t }\n809\t\n810\t #[test]\n811\t fn translate_uses_source_edition_translation_table() {\n812\t // English Wiktionary returns a JSON envelope around wikitext;\n813\t // the wikitext lists the Russian translation under `{{t+|ru|...}}`.\n814\t // Use a placeholder lemma (`blargh`) that is *not* in the offline\n815\t // dictionary so the pipeline reaches the HTTP stage and we can\n816\t // verify the wikitext parser end-to-end.\n817\t let url = \"https://en.wiktionary.org/w/api.php?action=parse&page=blargh&prop=wikitext&formatversion=2&format=json&redirects=1\";\n818\t let wikitext = r#\"{\"parse\":{\"title\":\"blargh\",\"wikitext\":\"* Russian: {{t+|ru|бларг}}\\n\"}}\"#;\n819\t let http = StubHttp::new(&[(url, wikitext)]);\n820\t let pipeline = TranslationPipeline::new(&http);\n821\t let translation = pipeline.translate(\"blargh\", \"en\", \"ru\").unwrap();\n822\t assert_eq!(translation.primary_surface(), Some(\"бларг\"));\n823\t assert!(\n824\t translation\n825\t .provenance\n826\t .iter()\n827\t .any(|p| p.starts_with(\"wiktionary:en:blargh#translations->ru\")),\n828\t \"got provenance: {:?}\",\n829\t translation.provenance,\n830\t );\n831\t }\n832\t\n833\t #[test]\n834\t fn translate_returns_translation_with_empty_candidates_when_nothing_matches() {\n835\t // No HTTP stubs => every fetch fails. The pipeline still\n836\t // produces a Translation, but with an empty candidates list\n837\t // (callers detect the gap explicitly).\n838\t let http = StubHttp::new(&[]);\n839\t let pipeline = TranslationPipeline::new(&http);\n840\t let translation = pipeline.translate(\"xyzzy\", \"en\", \"ru\").unwrap();\n841\t assert!(translation.candidates.is_empty());\n842\t assert!(translation.primary_surface().is_none());\n843\t assert!(translation.provenance.iter().any(|p| p.contains(\"error\")));\n844\t }\n845\t\n846\t #[test]\n847\t fn translate_uses_compositional_ru_en_fallback_for_short_phrases() {\n848\t let http = StubHttp::new(&[]);\n849\t let pipeline = TranslationPipeline::new(&http);\n850\t\n851\t let noun_phrase = pipeline.translate(\"доброе яблоко\", \"ru\", \"en\").unwrap();\n852\t assert_eq!(noun_phrase.primary_surface(), Some(\"Good apple\"));\n853\t assert!(noun_phrase\n854\t .provenance\n855\t .iter()\n856\t .any(|p| p == \"compositional:ru->en:доброе яблоко\"));\n857\t\n858\t let question_phrase = pipeline.translate(\"что это такое?\", \"ru\", \"en\").unwrap();\n859\t assert_eq!(question_phrase.primary_surface(), Some(\"What is this?\"));\n860\t assert!(question_phrase\n861\t .provenance\n862\t .iter()\n863\t .any(|p| p == \"compositional:ru->en:что это такое\"));\n864\t }\n865\t\n866\t #[test]\n867\t fn translate_prefers_unqualified_candidate() {\n868\t // Use a placeholder lemma not present in the offline dictionary so\n869\t // the pipeline reaches the wikitext-parsing stage.\n870\t let url = \"https://en.wiktionary.org/w/api.php?action=parse&page=blargh&prop=wikitext&formatversion=2&format=json&redirects=1\";\n871\t let wikitext = r#\"{\"parse\":{\"wikitext\":\"* Russian: {{t|ru|здравствуйте|q=formal}}, {{t+|ru|привет|q=informal}}, {{t|ru|здорово}}\\n\"}}\"#;\n872\t let http = StubHttp::new(&[(url, wikitext)]);\n873\t let pipeline = TranslationPipeline::new(&http);\n874\t let translation = pipeline.translate(\"blargh\", \"en\", \"ru\").unwrap();\n875\t // The first unqualified candidate wins.\n876\t assert_eq!(translation.primary_surface(), Some(\"здорово\"));\n877\t }\n878\t}\n879\t" | |
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| [2026-05-22T11:02:14.482Z] [INFO] "timestamp": "2026-05-22T11:02:14.468Z", | |
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| [2026-05-22T11:02:14.482Z] [INFO] "content": "//! Translation pipeline.\n//!\n//! Public entry point: [`TranslationPipeline::translate`].\n//!\n//! ## Stages\n//!\n//! 1. **Formalize** — `formalize(source_surface, source_lang)` projects the\n//! natural-language surface into a [`MeaningId`] by consulting\n//! Wiktionary (for the page that defines the lemma) and Wikidata\n//! (for the language-neutral Q-item or Lexeme sense). The\n//! [`MeaningId`] is the semantic meta-language identifier; it never\n//! embeds any single language.\n//!\n//! 2. **Deformalize** — `deformalize(meaning_id, target_lang)` renders a\n//! surface form in the target language by:\n//!\n//! a. running a Wikidata SPARQL lexeme-join (P5137) when the meaning\n//! is backed by a Wikidata lexeme, **or**\n//!\n//! b. parsing the source-edition Wiktionary translation table for\n//! the target language code, **or**\n//!\n//! c. parsing the target-edition Wiktionary's `=== Перевод ===` /\n//! `===Translations===` block in reverse.\n//!\n//! Each strategy is recorded as a `provenance` entry on\n//! [`Translation`], so the resulting links-notation trace shows\n//! exactly which API responses fed the answer.\n\nuse super::dictionary;\nuse super::http::{HttpClient, HttpError};\nuse super::meaning::MeaningId;\nuse super::wikidata::Wikidata;\nuse super::wiktionary::{Wiktionary, WiktionaryCandidate};\n\n/// `true` when `FORMAL_AI_TRANSLATION_DEBUG=1` is set in the environment.\n///\n/// Reading the env var on every call would be wasteful, but tests rely on\n/// per-process toggling, so we re-check each call here (cheap stdlib lookup).\nfn translation_debug_enabled() -> bool {\n std::env::var(\"FORMAL_AI_TRANSLATION_DEBUG\")\n .ok()\n .is_some_and(|value| !value.is_empty() && value != \"0\")\n}\n\n/// Emit a structured debug line to stderr when\n/// `FORMAL_AI_TRANSLATION_DEBUG=1`. Used to trace each pipeline stage\n/// when investigating issues like #221 (common-noun translation gaps).\nfn translation_debug(stage: &str, message: &str) {\n if translation_debug_enabled() {\n eprintln!(\"[formal-ai translation] {stage}: {message}\");\n }\n}\n\n/// Known polysemy fixes. The Wikidata SPARQL lexeme join (`P5137`)\n/// returns the first matching lexeme regardless of part of speech, so\n/// common noun ↔ verb homographs (e.g. English `milk` → Russian\n/// `доить` \"to milk\", `water` → `поливать` \"to water\") land on the\n/// verb. The long-term fix is restricting the join by lexical category\n/// (tracked in `docs/case-studies/issue-221/README.md`'s \"Future\n/// work\"), but for the demo we over-ride the affected entries with the\n/// canonical noun translation. Each tuple is\n/// `(source_lang, lemma_lower, target_lang, canonical_noun_surface)`.\nconst POLYSEMY_OVERRIDES: &[(&str, &str, &str, &str)] = &[\n // English nouns where Wikidata returned the verb lexeme in Russian.\n (\"en\", \"milk\", \"ru\", \"молоко\"),\n (\"en\", \"water\", \"ru\", \"вода\"),\n (\"en\", \"house\", \"ru\", \"дом\"),\n (\"en\", \"dog\", \"ru\", \"собака\"),\n (\"en\", \"fish\", \"ru\", \"рыба\"),\n (\"en\", \"friend\", \"ru\", \"друг\"),\n (\"en\", \"phone\", \"ru\", \"телефон\"),\n (\"en\", \"salt\", \"ru\", \"соль\"),\n (\"en\", \"grape\", \"ru\", \"виноград\"),\n // English nouns whose Chinese lexeme was wrong / overly literal.\n (\"en\", \"cat\", \"zh\", \"貓\"),\n (\"en\", \"mother\", \"zh\", \"母親\"),\n (\"en\", \"language\", \"zh\", \"語言\"),\n (\"en\", \"moon\", \"zh\", \"月亮\"),\n (\"en\", \"chicken\", \"zh\", \"雞\"),\n (\"en\", \"bird\", \"zh\", \"鳥\"),\n (\"en\", \"child\", \"zh\", \"孩子\"),\n (\"en\", \"country\", \"zh\", \"國家\"),\n (\"en\", \"phone\", \"zh\", \"電話\"),\n (\"en\", \"milk\", \"zh\", \"牛奶\"),\n (\"en\", \"water\", \"zh\", \"水\"),\n (\"en\", \"fish\", \"zh\", \"魚\"),\n (\"en\", \"friend\", \"zh\", \"朋友\"),\n (\"en\", \"house\", \"zh\", \"房子\"),\n (\"en\", \"dog\", \"zh\", \"狗\"),\n // English nouns where the Hindi lexeme was missing or verb-shaped.\n (\"en\", \"phone\", \"hi\", \"फ़ोन\"),\n // Russian nouns where the ru→en mapping landed on a non-canonical\n // English noun (e.g. язык → \"tongue\" rather than \"language\").\n (\"ru\", \"язык\", \"en\", \"language\"),\n (\"ru\", \"телефон\", \"en\", \"phone\"),\n];\n\n/// Apply [`POLYSEMY_OVERRIDES`] to a candidate list: if a (source,\n/// surface, target) triple matches, move the canonical noun to the\n/// front so [`Translation::primary_surface`] returns it.\nfn apply_polysemy_override(\n surface: &str,\n source_lang: &str,\n target_lang: &str,\n candidates: &mut Vec<WiktionaryCandidate>,\n provenance: &mut Vec<String>,\n) {\n let key = surface.to_lowercase();\n for (src, lemma, tgt, canonical) in POLYSEMY_OVERRIDES {\n if *src == source_lang && *tgt == target_lang && *lemma == key {\n // Remove existing entries for the canonical surface, then\n // push it at the front.\n candidates.retain(|c| c.surface != *canonical);\n candidates.insert(\n 0,\n WiktionaryCandidate {\n surface: (*canonical).to_owned(),\n qualifier: None,\n },\n );\n provenance.push(format!(\n \"polysemy-override:{src}:{lemma}->{tgt}:{canonical}\"\n ));\n translation_debug(\n \"polysemy\",\n &format!(\"override {src}:{lemma}->{tgt} = {canonical}\"),\n );\n return;\n }\n }\n}\n\n/// Result of a translation request.\n#[derive(Debug, Clone, PartialEq, Eq)]\npub struct Translation {\n pub source_surface: String,\n pub source_lang: String,\n pub target_lang: String,\n pub meaning: MeaningId,\n pub candidates: Vec<WiktionaryCandidate>,\n pub provenance: Vec<String>,\n}\n\nimpl Translation {\n /// The best target-language surface form. Picks the first\n /// unqualified candidate, falling back to the first candidate.\n #[must_use]\n pub fn primary_surface(&self) -> Option<&str> {\n self.candidates\n .iter()\n .find(|c| c.qualifier.is_none())\n .or_else(|| self.candidates.first())\n .map(|c| c.surface.as_str())\n }\n}\n\n/// Translation pipeline. Borrows a single HTTP client (typically a\n/// `CachedHttpClient`) for every Wiktionary and Wikidata call.\npub struct TranslationPipeline<'a, T: HttpClient + ?Sized> {\n http: &'a T,\n}\n\nimpl<'a, T: HttpClient + ?Sized> TranslationPipeline<'a, T> {\n pub const fn new(http: &'a T) -> Self {\n Self { http }\n }\n\n /// Translate `surface` from `source_lang` to `target_lang`.\n ///\n /// Returns `Ok(Translation)` even when the candidate list is empty\n /// — callers can detect translation gaps by inspecting\n /// [`Translation::candidates`].\n pub fn translate(\n &self,\n surface: &str,\n source_lang: &str,\n target_lang: &str,\n ) -> Result<Translation, HttpError> {\n translation_debug(\n \"translate\",\n &format!(\"start surface={surface:?} {source_lang}->{target_lang}\"),\n );\n if source_lang == target_lang {\n translation_debug(\"translate\", \"identity (source==target)\");\n return Ok(Translation {\n source_surface: surface.to_owned(),\n source_lang: source_lang.to_owned(),\n target_lang: target_lang.to_owned(),\n meaning: MeaningId::from_wiktionary_page(source_lang, surface),\n candidates: vec![WiktionaryCandidate {\n surface: surface.to_owned(),\n qualifier: None,\n }],\n provenance: vec![\"identity\".to_owned()],\n });\n }\n\n let mut provenance: Vec<String> = Vec::new();\n let page_title = normalize_page_title(surface);\n translation_debug(\"translate\", &format!(\"page_title={page_title:?}\"));\n\n // Stage 0: consult the offline dictionary first. The 128-noun\n // `.lino` registry catches the most frequent words without a\n // network round trip, which keeps the browser worker responsive\n // and CI deterministic. Misses fall through to the live HTTP\n // stages below; the same surface is matched against the entry's\n // canonical lemma and its inflected aliases.\n let dict = dictionary::shared();\n if let Some(target_surface) = dict.lookup(&page_title, source_lang, target_lang) {\n let lemma = dict\n .lemma(&page_title, source_lang)\n .unwrap_or(page_title.as_str());\n provenance.push(format!(\n \"dictionary:{source_lang}:{lemma}->{target_lang}:{target_surface}\"\n ));\n translation_debug(\n \"stage0\",\n &format!(\"dictionary hit {source_lang}:{lemma}->{target_lang}:{target_surface}\"),\n );\n return Ok(Translation {\n source_surface: surface.to_owned(),\n source_lang: source_lang.to_owned(),\n target_lang: target_lang.to_owned(),\n meaning: MeaningId::from_wiktionary_page(source_lang, lemma),\n candidates: vec![WiktionaryCandidate {\n surface: target_surface.to_owned(),\n qualifier: None,\n }],\n provenance,\n });\n }\n\n // Stage 1: formalize — fetch the source-edition Wiktionary page.\n // This single fetch usually carries translations for every target\n // language, grouped by sense (one block per `{{trans-top}}` on\n // English Wiktionary, one per `{{перев-блок}}` on Russian).\n let source_wiktionary = Wiktionary::new(source_lang, self.http);\n let mut blocks: Vec<Vec<WiktionaryCandidate>> = Vec::new();\n let mut meaning = MeaningId::from_wiktionary_page(source_lang, &page_title);\n match source_wiktionary.translation_blocks(&page_title, target_lang) {\n Ok(found) => {\n provenance.push(format!(\n \"wiktionary:{source_lang}:{page_title}#translations->{target_lang}\"\n ));\n translation_debug(\"stage1\", &format!(\"source-edition blocks={}\", found.len()));\n if !found.is_empty() {\n blocks = found;\n }\n }\n Err(error) => {\n provenance.push(format!(\n \"wiktionary:{source_lang}:{page_title}#translations->error({error})\",\n ));\n translation_debug(\"stage1\", &format!(\"source-edition error: {error}\"));\n }\n }\n\n // Stage 1a: many high-traffic pages keep translations on a\n // `/translations` subpage (`{{see translation subpage|...}}`).\n // Try that subpage when the main page yielded nothing.\n if blocks.is_empty() {\n let subpage = format!(\"{page_title}/translations\");\n match source_wiktionary.translation_blocks(&subpage, target_lang) {\n Ok(found) if !found.is_empty() => {\n provenance.push(format!(\n \"wiktionary:{source_lang}:{subpage}#translations->{target_lang}\"\n ));\n blocks = found;\n }\n Ok(_) => {}\n Err(error) => {\n provenance.push(format!(\n \"wiktionary:{source_lang}:{subpage}#translations->error({error})\",\n ));\n }\n }\n }\n\n // Stage 1b: when the source-edition table came up empty, try the\n // target-edition Wiktionary in reverse. The target page lists\n // the source language under its own translation block — useful\n // when the source edition is sparse (common for ru → en).\n if blocks.is_empty() {\n if let Some(reverse) = reverse_lookup(\n self.http,\n surface,\n source_lang,\n target_lang,\n &mut provenance,\n ) {\n blocks = reverse;\n }\n }\n\n // Stage 1d: phrasal-variant fallback. Some natural phrases don't\n // have their own Wiktionary entry (e.g. ru:\"как у тебя дела\") but\n // a shorter canonical form does (ru:\"как дела\"). Generate\n // alternate forms by stripping language-specific filler\n // sub-phrases and retry Stages 1 + 1a + 1b on each variant. Stop\n // at the first variant that produces at least one block.\n let mut active_page_title = page_title.clone();\n if blocks.is_empty() {\n for variant in phrasal_variants(&page_title, source_lang) {\n provenance.push(format!(\"wiktionary:{source_lang}:variant->{variant}\"));\n match source_wiktionary.translation_blocks(&variant, target_lang) {\n Ok(found) if !found.is_empty() => {\n provenance.push(format!(\n \"wiktionary:{source_lang}:{variant}#translations->{target_lang}\"\n ));\n blocks = found;\n active_page_title.clone_from(&variant);\n meaning = MeaningId::from_wiktionary_page(source_lang, &variant);\n break;\n }\n Ok(_) => {}\n Err(error) => {\n provenance.push(format!(\n \"wiktionary:{source_lang}:{variant}#translations->error({error})\"\n ));\n }\n }\n if let Some(reverse) = reverse_lookup(\n self.http,\n &variant,\n source_lang,\n target_lang,\n &mut provenance,\n ) {\n blocks = reverse;\n active_page_title.clone_from(&variant);\n meaning = MeaningId::from_wiktionary_page(source_lang, &variant);\n break;\n }\n }\n }\n\n // Stage 1c: pick the most likely sense block when the source word\n // is polysemous (multiple blocks). For each block, count how\n // many candidates round-trip — that is, how many target-edition\n // pages list the source surface as a translation. The block with\n // the highest confirmation rate wins; ties fall back to source\n // order.\n let candidates = if blocks.is_empty() {\n Vec::new()\n } else {\n select_best_block(\n self.http,\n &active_page_title,\n source_lang,\n target_lang,\n &mut provenance,\n blocks,\n )\n };\n\n // Stage 2: pull the Wikidata Q-item / Lexeme sense — even if\n // we already have a translation surface, we want the trace to\n // expose the canonical meaning id. Failures here do not block\n // the translation.\n let mut candidates = candidates;\n if let Some(updated) = upgrade_meaning_via_wikidata(\n self.http,\n &active_page_title,\n source_lang,\n target_lang,\n &mut provenance,\n &mut candidates,\n ) {\n meaning = updated;\n }\n\n if candidates.is_empty() {\n candidates = compositional_candidates(\n &active_page_title,\n source_lang,\n target_lang,\n &mut provenance,\n );\n }\n\n // Polysemy: when the lemma is a known noun↔verb homograph,\n // promote the canonical noun translation to the front of the\n // candidate list. See [`POLYSEMY_OVERRIDES`].\n apply_polysemy_override(\n &active_page_title,\n source_lang,\n target_lang,\n &mut candidates,\n &mut provenance,\n );\n\n translation_debug(\n \"translate\",\n &format!(\n \"done candidates={} primary={:?} meaning={:?}\",\n candidates.len(),\n candidates\n .iter()\n .find(|c| c.qualifier.is_none())\n .or_else(|| candidates.first())\n .map(|c| c.surface.as_str()),\n meaning,\n ),\n );\n Ok(Translation {\n source_surface: surface.to_owned(),\n source_lang: source_lang.to_owned(),\n target_lang: target_lang.to_owned(),\n meaning,\n candidates,\n provenance,\n })\n }\n}\n\n/// Try the target-edition Wiktionary in reverse. We open the page that\n/// is most likely to *exist* on the target edition for the source word.\n/// Russian Wiktionary, for instance, hosts pages for Russian words and\n/// records their translations into other languages under\n/// `=== Перевод ===`.\nfn reverse_lookup<T: HttpClient + ?Sized>(\n http: &T,\n surface: &str,\n source_lang: &str,\n target_lang: &str,\n provenance: &mut Vec<String>,\n) -> Option<Vec<Vec<WiktionaryCandidate>>> {\n let page_title = normalize_page_title(surface);\n for edition in [source_lang, target_lang] {\n let wiktionary = Wiktionary::new(edition, http);\n match wiktionary.translation_blocks(&page_title, target_lang) {\n Ok(blocks) if !blocks.is_empty() => {\n provenance.push(format!(\n \"wiktionary:{edition}:{page_title}#reverse->{target_lang}\"\n ));\n return Some(blocks);\n }\n Ok(_) => {}\n Err(error) => {\n provenance.push(format!(\n \"wiktionary:{edition}:{page_title}#reverse->error({error})\"\n ));\n }\n }\n }\n None\n}\n\n/// Pick the best sense block from `blocks` by round-trip confirmation rate.\n///\n/// Each candidate's \"round-trip position\" is its index within the\n/// target-edition block that contains the source surface (not the\n/// flattened candidate list). Lower position = the target considers the\n/// source more primary.\n///\n/// Block-level selection picks the block with the most round-trip\n/// confirmations (ties broken by source order). Within the chosen block,\n/// candidates are sorted by `(target_position_within_block, source_idx)`.\n///\n/// Worked example — `en:hello`:\n/// - Block 0 (\"greeting\"): `привет` confirms at target-pos 0,\n/// `здравствуйте` at target-pos 1. Two confirms.\n/// - Block 1 (\"when answering the telephone\"): `алло` and `алё` confirm\n/// at target-pos 0 and 1. Two confirms.\n/// - Ties go to the earlier source block → block 0. Within block 0,\n/// `привет` (target-pos 0) beats `здравствуйте` (target-pos 1).\nfn select_best_block<T: HttpClient + ?Sized>(\n http: &T,\n page_title: &str,\n source_lang: &str,\n target_lang: &str,\n provenance: &mut Vec<String>,\n blocks: Vec<Vec<WiktionaryCandidate>>,\n) -> Vec<WiktionaryCandidate> {\n let target_wiktionary = Wiktionary::new(target_lang, http);\n let mut block_positions: Vec<Vec<Option<usize>>> = Vec::with_capacity(blocks.len());\n for (block_idx, block) in blocks.iter().enumerate() {\n let mut positions: Vec<Option<usize>> = Vec::with_capacity(block.len());\n for candidate in block {\n let candidate_page = normalize_page_title(&candidate.surface);\n if candidate_page.is_empty() {\n positions.push(None);\n continue;\n }\n let Ok(back_blocks) =\n target_wiktionary.translation_blocks(&candidate_page, source_lang)\n else {\n positions.push(None);\n continue;\n };\n // Within-block position: scan each block of the target page\n // and record the position of the source surface inside the\n // first block that contains it.\n let mut within_block_position: Option<usize> = None;\n for back_block in &back_blocks {\n if let Some(pos) = back_block\n .iter()\n .position(|row| normalize_page_title(&row.surface) == page_title)\n {\n within_block_position = Some(pos);\n break;\n }\n }\n if let Some(pos) = within_block_position {\n provenance.push(format!(\n \"wiktionary:{target_lang}:{candidate_page}#confirms->{source_lang}:{page_title}@{pos}[block{block_idx}]\"\n ));\n }\n positions.push(within_block_position);\n }\n block_positions.push(positions);\n }\n let mut best_block: usize = 0;\n let mut best_confirms: usize = 0;\n for (idx, positions) in block_positions.iter().enumerate() {\n let confirms = positions.iter().filter(|p| p.is_some()).count();\n if confirms > best_confirms {\n best_confirms = confirms;\n best_block = idx;\n }\n }\n let block = blocks.into_iter().nth(best_block).unwrap_or_default();\n let positions = block_positions\n .into_iter()\n .nth(best_block)\n .unwrap_or_default();\n let mut indexed: Vec<(usize, Option<usize>, WiktionaryCandidate)> = block\n .into_iter()\n .zip(positions)\n .enumerate()\n .map(|(idx, (cand, pos))| (idx, pos, cand))\n .collect();\n indexed.sort_by_key(|(idx, pos, _)| {\n pos.as_ref()\n .map_or((1usize, 0, *idx), |p| (0usize, *p, *idx))\n });\n indexed.into_iter().map(|(_, _, cand)| cand).collect()\n}\n\n/// Upgrade a Wiktionary-only [`MeaningId`] to a Wikidata-backed one when\n/// SPARQL returns a lexeme that matches the surface in the source\n/// language. Also appends any extra lemma forms returned by the\n/// translation query — they are stored as additional candidates so\n/// callers can disambiguate (formal vs informal, dialect, etc).\nfn upgrade_meaning_via_wikidata<T: HttpClient + ?Sized>(\n http: &T,\n page_title: &str,\n source_lang: &str,\n target_lang: &str,\n provenance: &mut Vec<String>,\n candidates: &mut Vec<WiktionaryCandidate>,\n) -> Option<MeaningId> {\n let wikidata = Wikidata::new(http);\n let hits = match wikidata.search_lexeme(page_title, source_lang) {\n Ok(hits) => hits,\n Err(error) => {\n provenance.push(format!(\"wikidata:search->error({error})\"));\n return None;\n }\n };\n let first = hits.first()?;\n provenance.push(format!(\"wikidata:lexeme:{}\", first.id));\n let lemmas = match wikidata.lexeme_translations(&first.id, target_lang) {\n Ok(rows) => rows,\n Err(error) => {\n provenance.push(format!(\"wikidata:sparql->error({error})\"));\n return Some(MeaningId::from_sense(first.id.clone()));\n }\n };\n if !lemmas.is_empty() {\n provenance.push(format!(\n \"wikidata:sparql:{}->{} ({} lemmas)\",\n first.id,\n target_lang,\n lemmas.len()\n ));\n }\n for lemma in lemmas {\n let candidate = WiktionaryCandidate {\n surface: lemma.value,\n qualifier: None,\n };\n if !candidates.iter().any(|c| c.surface == candidate.surface) {\n candidates.push(candidate);\n }\n }\n Some(MeaningId::from_sense(first.id.clone()))\n}\n\nfn compositional_candidates(\n page_title: &str,\n source_lang: &str,\n target_lang: &str,\n provenance: &mut Vec<String>,\n) -> Vec<WiktionaryCandidate> {\n if !source_lang.eq_ignore_ascii_case(\"ru\") || !target_lang.eq_ignore_ascii_case(\"en\") {\n return Vec::new();\n }\n\n if let Some(surface) = russian_phrase_to_english(page_title) {\n provenance.push(format!(\"compositional:ru->en:{page_title}\"));\n return vec![WiktionaryCandidate {\n surface: surface.to_owned(),\n qualifier: None,\n }];\n }\n\n // The HTTP variant fallback already tried `phrasal_variants` against\n // Wiktionary; reuse the same elision rules for the compositional\n // table so politeness-marked phrases like `как у тебя дела` collapse\n // to the canonical `как дела` entry.\n for variant in phrasal_variants(page_title, source_lang) {\n if let Some(surface) = russian_phrase_to_english(&variant) {\n provenance.push(format!(\n \"compositional:ru->en:{page_title}=>variant:{variant}\"\n ));\n return vec![WiktionaryCandidate {\n surface: surface.to_owned(),\n qualifier: None,\n }];\n }\n }\n\n let words: Vec<&str> = page_title.split_whitespace().collect();\n if !(2..=4).contains(&words.len()) {\n return Vec::new();\n }\n\n let mut translated = Vec::with_capacity(words.len());\n for word in words {\n let Some(surface) = russian_word_to_english(word) else {\n return Vec::new();\n };\n translated.push(surface);\n }\n\n let surface = capitalize_ascii_first(&translated.join(\" \"));\n provenance.push(format!(\"compositional:ru->en:{page_title}\"));\n vec![WiktionaryCandidate {\n surface,\n qualifier: None,\n }]\n}\n\nfn russian_phrase_to_english(page_title: &str) -> Option<&'static str> {\n match page_title {\n \"кто ты\" | \"кто ты такой\" | \"кто ты такая\" | \"кто вы\" | \"кто вы такой\" | \"кто вы такая\" => {\n Some(\"Who are you?\")\n }\n \"что это\" | \"что это такое\" => Some(\"What is this?\"),\n // Russian small-talk variants → \"how are you\". `phrasal_variants`\n // strips the dative-of-possession infix (`у тебя`, `у вас`, …)\n // so callers may arrive at the bare `как дела` form.\n \"как дела\" => Some(\"how are you\"),\n _ => None,\n }\n}\n\nfn russian_word_to_english(word: &str) -> Option<&'static str> {\n match word {\n \"доброе\" | \"добрый\" | \"добрая\" | \"добрые\" | \"доброго\" | \"добрую\" | \"добрым\" | \"хорошее\"\n | \"хороший\" | \"хорошая\" | \"хорошие\" | \"хорошего\" | \"хорошую\" | \"хорошим\" => {\n Some(\"good\")\n }\n \"яблоко\" | \"яблока\" | \"яблоку\" | \"яблоком\" | \"яблоке\" | \"яблоки\" | \"яблок\" | \"яблокам\"\n | \"яблоками\" | \"яблоках\" => Some(\"apple\"),\n _ => None,\n }\n}\n\nfn capitalize_ascii_first(surface: &str) -> String {\n let mut chars = surface.chars();\n let Some(first) = chars.next() else {\n return String::new();\n };\n let mut out = String::with_capacity(surface.len());\n out.extend(first.to_uppercase());\n out.extend(chars);\n out\n}\n\n/// Generate alternate phrasal forms to retry when the original page is\n/// missing on Wiktionary.\n///\n/// Languages differ in which optional words can be elided without\n/// changing meaning. We encode the elisions per source language; for now\n/// we cover Russian (`у тебя/у вас/у нас/...` infix between question word\n/// and noun).\n///\n/// Variants are returned in priority order — the caller stops at the\n/// first one that produces translations.\n#[must_use]\npub fn phrasal_variants(page_title: &str, source_lang: &str) -> Vec<String> {\n let mut variants: Vec<String> = Vec::new();\n if source_lang.eq_ignore_ascii_case(\"ru\") {\n // Russian dative-of-possession infix: `как у тебя дела` and\n // `как у вас дела` collapse to the canonical `как дела`. This\n // covers the politeness variants without changing semantics.\n let pronouns = [\n \"у тебя\",\n \"у вас\",\n \"у нас\",\n \"у меня\",\n \"у них\",\n \"у него\",\n \"у неё\",\n \"у нее\",\n ];\n for pronoun in &pronouns {\n // Strip the pronoun as a whole-word infix surrounded by spaces.\n let needle = format!(\" {pronoun} \");\n if let Some(idx) = page_title.find(&needle) {\n let mut alt = String::with_capacity(page_title.len() - needle.len() + 1);\n alt.push_str(&page_title[..idx]);\n alt.push(' ');\n alt.push_str(&page_title[idx + needle.len()..]);\n let alt = alt.split_whitespace().collect::<Vec<_>>().join(\" \");\n if !alt.is_empty() && alt != page_title && !variants.contains(&alt) {\n variants.push(alt);\n }\n }\n }\n }\n variants\n}\n\n/// Normalize a surface fragment into a Wiktionary page title.\n///\n/// - Trim whitespace.\n/// - Strip terminal punctuation (`?`, `!`, `.`, `。`, `？`, `！`).\n/// - Lower-case the first letter (Wiktionary stores most page titles in\n/// lower case for content words; redirects handle the capitalized\n/// variants but we want a stable cache key).\n#[must_use]\npub fn normalize_page_title(surface: &str) -> String {\n let trimmed = surface\n .trim()\n .trim_end_matches(['?', '!', '.', '。', '？', '！', '．']);\n let mut chars = trimmed.chars();\n let Some(first) = chars.next() else {\n return String::new();\n };\n let mut out = String::with_capacity(trimmed.len());\n for character in first.to_lowercase() {\n out.push(character);\n }\n out.extend(chars);\n out\n}\n\n#[cfg(test)]\nmod tests {\n use super::*;\n use std::sync::Mutex;\n\n struct StubHttp {\n responses: Mutex<std::collections::HashMap<String, String>>,\n }\n\n impl StubHttp {\n fn new(pairs: &[(&str, &str)]) -> Self {\n Self {\n responses: Mutex::new(\n pairs\n .iter()\n .map(|(k, v)| ((*k).to_owned(), (*v).to_owned()))\n .collect(),\n ),\n }\n }\n }\n\n impl HttpClient for StubHttp {\n fn get(&self, url: &str) -> Result<String, HttpError> {\n self.responses\n .lock()\n .unwrap()\n .get(url)\n .cloned()\n .ok_or_else(|| HttpError::Status {\n status: 404,\n body: format!(\"no stubbed response for {url}\"),\n })\n }\n }\n\n #[test]\n fn normalize_page_title_strips_terminal_punctuation() {\n assert_eq!(normalize_page_title(\"Hello!\"), \"hello\");\n assert_eq!(normalize_page_title(\"как у тебя дела?\"), \"как у тебя дела\");\n assert_eq!(normalize_page_title(\"你好？\"), \"你好\");\n }\n\n #[test]\n fn normalize_page_title_lowercases_first_letter() {\n assert_eq!(normalize_page_title(\"Hello\"), \"hello\");\n assert_eq!(normalize_page_title(\"Как дела\"), \"как дела\");\n }\n\n #[test]\n fn translate_identity_returns_self_with_identity_provenance() {\n let http = StubHttp::new(&[]);\n let pipeline = TranslationPipeline::new(&http);\n let translation = pipeline.translate(\"hello\", \"en\", \"en\").unwrap();\n assert_eq!(translation.primary_surface(), Some(\"hello\"));\n assert_eq!(translation.provenance, vec![\"identity\".to_owned()]);\n }\n\n #[test]\n fn translate_uses_source_edition_translation_table() {\n // English Wiktionary returns a JSON envelope around wikitext;\n // the wikitext lists the Russian translation under `{{t+|ru|...}}`.\n // Use a placeholder lemma (`blargh`) that is *not* in the offline\n // dictionary so the pipeline reaches the HTTP stage and we can\n // verify the wikitext parser end-to-end.\n let url = \"https://en.wiktionary.org/w/api.php?action=parse&page=blargh&prop=wikitext&formatversion=2&format=json&redirects=1\";\n let wikitext = r#\"{\"parse\":{\"title\":\"blargh\",\"wikitext\":\"* Russian: {{t+|ru|бларг}}\\n\"}}\"#;\n let http = StubHttp::new(&[(url, wikitext)]);\n let pipeline = TranslationPipeline::new(&http);\n let translation = pipeline.translate(\"blargh\", \"en\", \"ru\").unwrap();\n assert_eq!(translation.primary_surface(), Some(\"бларг\"));\n assert!(\n translation\n .provenance\n .iter()\n .any(|p| p.starts_with(\"wiktionary:en:blargh#translations->ru\")),\n \"got provenance: {:?}\",\n translation.provenance,\n );\n }\n\n #[test]\n fn translate_returns_translation_with_empty_candidates_when_nothing_matches() {\n // No HTTP stubs => every fetch fails. 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| [2026-05-22T11:02:19.457Z] [INFO] "content": "1\t//! Translation pipeline.\n2\t//!\n3\t//! Translates an arbitrary natural-language fragment from one language to\n4\t//! another by combining a tiny offline dictionary with live HTTP fallbacks:\n5\t//!\n6\t//! 1. **Offline dictionary** (`data/seed/translations.lino`, ≤128 entries) —\n7\t//! the [`dictionary`] module embeds a single Links Notation file that\n8\t//! lists the most common nouns we want to translate without hitting the\n9\t//! network. It is the only built-in translation data; it ships in both\n10\t//! the native binary (via `include_str!`) and the browser worker (which\n11\t//! fetches the same file).\n12\t//!\n13\t//! 2. **Wiktionary** — the source-edition entry hosts a translation table\n14\t//! that lists candidate surface forms for every target language. When\n15\t//! the source edition has no entry, we try the target-language edition\n16\t//! in reverse (Russian Wiktionary, for instance, lists English\n17\t//! translations under `=== Перевод ===` / `{{перев-блок}}`).\n18\t//!\n19\t//! 3. **Wikidata Lexemes** — when a Lexeme exists for the source surface,\n20\t//! we run a SPARQL `?lemma` query that joins on `P5137` (\"item for this\n21\t//! sense\") so any target-language Lexeme sharing that sense becomes a\n22\t//! candidate. This also gives the [`MeaningId`] a language-neutral\n23\t//! Wikidata anchor.\n24\t//!\n25\t//! Stages 2 + 3 only run when the dictionary misses, and even then they\n26\t//! are gated on `FORMAL_AI_LIVE_API=1` so unit tests stay offline.\n27\t//! Successful responses are cached on disk by semantic identity (Wikidata\n28\t//! Q-id, Wiktionary `(lang, lemma)`) under `data/wikidata-cache/` and\n29\t//! `data/wiktionary-cache/` so the same data can be reused by other\n30\t//! formalization paths — not just translation.\n31\t//!\n32\t//! ## Module layout\n33\t//!\n34\t//! - [`dictionary`] — 128-noun offline lookup, shared with the browser worker.\n35\t//! - [`http`] — `curl`-backed HTTP client; mirrors [`crate::telegram_runtime`]\n36\t//! so we don't pull a TLS crate into the core.\n37\t//! - [`cache`] — semantic-identity file cache for raw API responses.\n38\t//! - [`meaning`] — [`MeaningId`], the semantic meta-language identity.\n39\t//! - [`wiktionary`] — Wiktionary client + wikitext parser.\n40\t//! - [`wikidata`] — Wikidata SPARQL + Lexeme search client.\n41\t//! - [`formatting`] — typography mirror (case + terminal punctuation).\n42\t//! - [`pipeline`] — orchestration (`TranslationPipeline::translate`).\n43\t//!\n44\t//! ## Default wiring\n45\t//!\n46\t//! Most callers want a process-wide translator that consults the offline\n47\t//! dictionary first and falls through to the cached HTTP pipeline. Use\n48\t//! [`translate_via_default_pipeline`] for that.\n49\t\n50\tuse std::sync::OnceLock;\n51\t\n52\tpub mod cache;\n53\tpub mod dictionary;\n54\tpub mod formatting;\n55\tpub mod http;\n56\tmod language_markers;\n57\tpub mod meaning;\n58\tpub mod pipeline;\n59\tpub mod prompt;\n60\tpub mod wikidata;\n61\tpub mod wiktionary;\n62\t\n63\tpub use cache::CachedHttpClient;\n64\tpub use formatting::match_source_formatting;\n65\tpub use http::{CurlClient, HttpError};\n66\tpub(crate) use language_markers::{detect_source_language, detect_target_language};\n67\tpub use pipeline::{Translation, TranslationPipeline};\n68\tpub use prompt::extract_unquoted_translation_surface;\n69\t\n70\t/// Process-wide cached HTTP client used by the default pipeline.\n71\t///\n72\t/// The client reads from the semantic-identity cache directories under\n73\t/// `data/` first and falls through to the live network only when\n74\t/// `FORMAL_AI_LIVE_API=1` is set. This keeps unit tests offline by default;\n75\t/// integration runs that refresh the cache opt in explicitly.\n76\tfn default_cached_client() -> &'static CachedHttpClient<CurlClient> {\n77\t static CLIENT: OnceLock<CachedHttpClient<CurlClient>> = OnceLock::new();\n78\t CLIENT.get_or_init(|| CachedHttpClient::new(cache::DEFAULT_CACHE_DIR, CurlClient::default()))\n79\t}\n80\t\n81\t/// Translate `surface` from `source` to `target` using the default pipeline.\n82\t///\n83\t/// Uses the process-wide cached translator and returns the primary\n84\t/// candidate surface form along with the meaning id, so callers can\n85\t/// both render the answer and embed the meaning id in their trace.\n86\t///\n87\t/// Errors propagate as [`HttpError`]; the caller decides whether to render\n88\t/// a placeholder or surface the error to the user.\n89\tpub fn translate_via_default_pipeline(\n90\t surface: &str,\n91\t source: &str,\n92\t target: &str,\n93\t) -> Result<Translation, HttpError> {\n94\t let pipeline = TranslationPipeline::new(default_cached_client());\n95\t pipeline.translate(surface, source, target)\n96\t}\n97\t" | |
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| [2026-05-22T11:02:19.457Z] [INFO] "content": "//! Translation pipeline.\n//!\n//! Translates an arbitrary natural-language fragment from one language to\n//! another by combining a tiny offline dictionary with live HTTP fallbacks:\n//!\n//! 1. **Offline dictionary** (`data/seed/translations.lino`, ≤128 entries) —\n//! the [`dictionary`] module embeds a single Links Notation file that\n//! lists the most common nouns we want to translate without hitting the\n//! network. It is the only built-in translation data; it ships in both\n//! the native binary (via `include_str!`) and the browser worker (which\n//! fetches the same file).\n//!\n//! 2. **Wiktionary** — the source-edition entry hosts a translation table\n//! that lists candidate surface forms for every target language. When\n//! the source edition has no entry, we try the target-language edition\n//! in reverse (Russian Wiktionary, for instance, lists English\n//! translations under `=== Перевод ===` / `{{перев-блок}}`).\n//!\n//! 3. **Wikidata Lexemes** — when a Lexeme exists for the source surface,\n//! we run a SPARQL `?lemma` query that joins on `P5137` (\"item for this\n//! sense\") so any target-language Lexeme sharing that sense becomes a\n//! candidate. This also gives the [`MeaningId`] a language-neutral\n//! Wikidata anchor.\n//!\n//! Stages 2 + 3 only run when the dictionary misses, and even then they\n//! are gated on `FORMAL_AI_LIVE_API=1` so unit tests stay offline.\n//! Successful responses are cached on disk by semantic identity (Wikidata\n//! Q-id, Wiktionary `(lang, lemma)`) under `data/wikidata-cache/` and\n//! `data/wiktionary-cache/` so the same data can be reused by other\n//! formalization paths — not just translation.\n//!\n//! ## Module layout\n//!\n//! - [`dictionary`] — 128-noun offline lookup, shared with the browser worker.\n//! - [`http`] — `curl`-backed HTTP client; mirrors [`crate::telegram_runtime`]\n//! so we don't pull a TLS crate into the core.\n//! - [`cache`] — semantic-identity file cache for raw API responses.\n//! - [`meaning`] — [`MeaningId`], the semantic meta-language identity.\n//! - [`wiktionary`] — Wiktionary client + wikitext parser.\n//! - [`wikidata`] — Wikidata SPARQL + Lexeme search client.\n//! - [`formatting`] — typography mirror (case + terminal punctuation).\n//! - [`pipeline`] — orchestration (`TranslationPipeline::translate`).\n//!\n//! ## Default wiring\n//!\n//! Most callers want a process-wide translator that consults the offline\n//! dictionary first and falls through to the cached HTTP pipeline. Use\n//! [`translate_via_default_pipeline`] for that.\n\nuse std::sync::OnceLock;\n\npub mod cache;\npub mod dictionary;\npub mod formatting;\npub mod http;\nmod language_markers;\npub mod meaning;\npub mod pipeline;\npub mod prompt;\npub mod wikidata;\npub mod wiktionary;\n\npub use cache::CachedHttpClient;\npub use formatting::match_source_formatting;\npub use http::{CurlClient, HttpError};\npub(crate) use language_markers::{detect_source_language, detect_target_language};\npub use pipeline::{Translation, TranslationPipeline};\npub use prompt::extract_unquoted_translation_surface;\n\n/// Process-wide cached HTTP client used by the default pipeline.\n///\n/// The client reads from the semantic-identity cache directories under\n/// `data/` first and falls through to the live network only when\n/// `FORMAL_AI_LIVE_API=1` is set. This keeps unit tests offline by default;\n/// integration runs that refresh the cache opt in explicitly.\nfn default_cached_client() -> &'static CachedHttpClient<CurlClient> {\n static CLIENT: OnceLock<CachedHttpClient<CurlClient>> = OnceLock::new();\n CLIENT.get_or_init(|| CachedHttpClient::new(cache::DEFAULT_CACHE_DIR, CurlClient::default()))\n}\n\n/// Translate `surface` from `source` to `target` using the default pipeline.\n///\n/// Uses the process-wide cached translator and returns the primary\n/// candidate surface form along with the meaning id, so callers can\n/// both render the answer and embed the meaning id in their trace.\n///\n/// Errors propagate as [`HttpError`]; the caller decides whether to render\n/// a placeholder or surface the error to the user.\npub fn translate_via_default_pipeline(\n surface: &str,\n source: &str,\n target: &str,\n) -> Result<Translation, HttpError> {\n let pipeline = TranslationPipeline::new(default_cached_client());\n pipeline.translate(surface, source, target)\n}\n", | |
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| [2026-05-22T11:02:27.991Z] [INFO] "x-stainless-lang": "js", | |
| [2026-05-22T11:02:27.992Z] [INFO] "x-stainless-os": "Linux", | |
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| [2026-05-22T11:02:27.998Z] [INFO] } | |
| [2026-05-22T11:02:28.395Z] [INFO] [log_a724f3, request-id: "req_011CbHVdFuWSsx3iEZtyxc7e"] post https://api.anthropic.com/v1/messages/count_tokens?beta=true succeeded with status 200 in 428ms | |
| [2026-05-22T11:02:28.395Z] [INFO] [log_a724f3] response start { | |
| [2026-05-22T11:02:28.396Z] [INFO] url: "https://api.anthropic.com/v1/messages/count_tokens?beta=true", | |
| [2026-05-22T11:02:28.396Z] [INFO] status: 200, | |
| [2026-05-22T11:02:28.396Z] [INFO] headers: { | |
| [2026-05-22T11:02:28.397Z] [INFO] "anthropic-organization-id": "ebc2ac93-f86f-4d15-aff3-de8830d8d789", | |
| [2026-05-22T11:02:28.397Z] [INFO] "cf-cache-status": "DYNAMIC", | |
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| [2026-05-22T11:02:28.397Z] [INFO] connection: "keep-alive", | |
| [2026-05-22T11:02:28.397Z] [INFO] "content-length": "22", | |
| [2026-05-22T11:02:28.398Z] [INFO] "content-security-policy": "default-src 'none'; frame-ancestors 'none'", | |
| [2026-05-22T11:02:28.398Z] [INFO] "content-type": "application/json", | |
| [2026-05-22T11:02:28.399Z] [INFO] date: "Fri, 22 May 2026 11:02:28 GMT", | |
| [2026-05-22T11:02:28.399Z] [INFO] "request-id": "req_011CbHVdFuWSsx3iEZtyxc7e", | |
| [2026-05-22T11:02:28.399Z] [INFO] server: "cloudflare", | |
| [2026-05-22T11:02:28.400Z] [INFO] "server-timing": "x-originResponse;dur=315", | |
| [2026-05-22T11:02:28.400Z] [INFO] "strict-transport-security": "max-age=31536000; includeSubDomains; preload", | |
| [2026-05-22T11:02:28.400Z] [INFO] "x-envoy-upstream-service-time": "313", | |
| [2026-05-22T11:02:28.400Z] [INFO] "x-robots-tag": "none", | |
| [2026-05-22T11:02:28.401Z] [INFO] "set-cookie": "***", | |
| [2026-05-22T11:02:28.401Z] [INFO] }, | |
| [2026-05-22T11:02:28.401Z] [INFO] durationMs: 428, | |
| [2026-05-22T11:02:28.402Z] [INFO] } | |
| [2026-05-22T11:02:28.402Z] [INFO] [log_a724f3] response parsed { | |
| [2026-05-22T11:02:28.402Z] [INFO] url: "https://api.anthropic.com/v1/messages/count_tokens?beta=true", | |
| [2026-05-22T11:02:28.404Z] [INFO] status: 200, | |
| [2026-05-22T11:02:28.405Z] [INFO] body: { | |
| [2026-05-22T11:02:28.405Z] [INFO] input_tokens: 12154, | |
| [2026-05-22T11:02:28.406Z] [INFO] _request_id: "req_011CbHVdFuWSsx3iEZtyxc7e", | |
| [2026-05-22T11:02:28.407Z] [INFO] }, | |
| [2026-05-22T11:02:28.407Z] [INFO] durationMs: 430, | |
| [2026-05-22T11:02:28.408Z] [INFO] } | |
| [2026-05-22T11:02:28.410Z] [INFO] { | |
| [2026-05-22T11:02:28.410Z] [INFO] "type": "user", | |
| [2026-05-22T11:02:28.410Z] [INFO] "message": { | |
| [2026-05-22T11:02:28.410Z] [INFO] "role": "user", | |
| [2026-05-22T11:02:28.410Z] [INFO] "content": [ | |
| [2026-05-22T11:02:28.410Z] [INFO] { | |
| [2026-05-22T11:02:28.410Z] [INFO] "tool_use_id": "toolu_01NLHv3h7cVQxbbzr3cmaeC6", | |
| [2026-05-22T11:02:28.410Z] [INFO] "type": "tool_result", | |
| [2026-05-22T11:02:28.410Z] [INFO] "content": "1\t// Shared Links Notation seed loader for the demo.\n2\t//\n3\t// The browser demo loads its multilingual response phrases, concept summaries,\n4\t// project registry, tool registry, language-detection rules, prompt patterns, and agent metadata\n5\t// from `src/web/seed/*.lino` instead of hardcoded JavaScript constants. Every\n6\t// prompt-handling decision is therefore data-driven: a user who wants to\n7\t// retune their own agent can edit a `.lino` file and ship it alongside the\n8\t// static site without touching the worker code.\n9\t//\n10\t// `src/web/seed/` is a deploy artefact synchronised from `data/seed/` (the\n11\t// canonical source shared with the Rust solver, CLI, Telegram bot, and HTTP\n12\t// server). Run `scripts/sync-seed.sh` to refresh the copy.\n13\t//\n14\t// The loader is intentionally minimal: indentation-based, untyped, and shared\n15\t// between the main thread (`window.FormalAiSeed`) and the worker\n16\t// (`self.FormalAiSeed`) without any bundler step.\n17\t\n18\t(function (global) {\n19\t \"use strict\";\n20\t\n21\t var DEFAULT_FILES = [\n22\t \"seed/agent-info.lino\",\n23\t \"seed/multilingual-responses.lino\",\n24\t \"seed/concepts.lino\",\n25\t \"seed/concept-contexts.lino\",\n26\t \"seed/facts.lino\",\n27\t \"seed/projects.lino\",\n28\t \"seed/brainstorm-seeds.lino\",\n29\t \"seed/personas.lino\",\n30\t \"seed/summary-topics.lino\",\n31\t \"seed/coreference.lino\",\n32\t \"seed/tools.lino\",\n33\t \"seed/language-detection.lino\",\n34\t \"seed/prompt-patterns.lino\",\n35\t \"seed/intent-routing.lino\",\n36\t \"seed/greetings.lino\",\n37\t \"seed/identity.lino\",\n38\t \"seed/hello-world-programs.lino\",\n39\t \"seed/demo-dialogs.lino\",\n40\t \"seed/environments.lino\",\n41\t \"seed/translations.lino\",\n42\t ];\n43\t\n44\t function isWorker() {\n45\t return (\n46\t typeof global.WorkerGlobalScope !== \"undefined\" &&\n47\t global instanceof global.WorkerGlobalScope\n48\t );\n49\t }\n50\t\n51\t function assetVersion() {\n52\t if (typeof global.FORMAL_AI_ASSET_VERSION === \"string\") {\n53\t return global.FORMAL_AI_ASSET_VERSION;\n54\t }\n55\t try {\n56\t var search = global.location && global.location.search;\n57\t var match = search && /[?&]v=([^&]+)/.exec(search);\n58\t return match ? decodeURIComponent(match[1].replace(/\\+/g, \" \")) : \"\";\n59\t } catch (_error) {\n60\t return \"\";\n61\t }\n62\t }\n63\t\n64\t function withAssetVersion(url) {\n65\t var version = assetVersion();\n66\t if (!version) return url;\n67\t if (\n68\t url.indexOf(\"://\") !== -1 ||\n69\t url.indexOf(\"//\") === 0 ||\n70\t url.indexOf(\"data:\") === 0\n71\t ) {\n72\t return url;\n73\t }\n74\t return (\n75\t url +\n76\t (url.indexOf(\"?\") === -1 ? \"?\" : \"&\") +\n77\t \"v=\" +\n78\t encodeURIComponent(version)\n79\t );\n80\t }\n81\t\n82\t function unescapeValue(value) {\n83\t return String(value || \"\")\n84\t .replace(/\\\\n/g, \"\\n\")\n85\t .replace(/\\\\\"/g, '\"')\n86\t .replace(/\\\\\\\\/g, \"\\\\\");\n87\t }\n88\t\n89\t // Parse an indented Links Notation document into a nested structure:\n90\t //\n91\t // root_node\n92\t // child \"name\"\n93\t // key \"value\"\n94\t //\n95\t // -> { name: \"root_node\", children: [ { name: \"child\", id: \"name\",\n96\t // children: [ { name: \"key\", id: \"value\", children: [] } ] } ] }\n97\t function parseLino(text) {\n98\t var lines = String(text || \"\").split(/\\r?\\n/);\n99\t var root = { name: \"\", id: \"\", value: \"\", children: [], indent: -1 };\n100\t var stack = [root];\n101\t for (var i = 0; i < lines.length; i += 1) {\n102\t var line = lines[i];\n103\t if (!line || /^\\s*$/.test(line)) continue;\n104\t var indentMatch = /^(\\s*)/.exec(line);\n105\t var indent = indentMatch ? indentMatch[1].length : 0;\n106\t var content = line.slice(indent);\n107\t // Walk back up to find the parent for this indent.\n108\t while (stack.length > 1 && stack[stack.length - 1].indent >= indent) {\n109\t stack.pop();\n110\t }\n111\t var parent = stack[stack.length - 1];\n112\t var node = parseLinoLine(content, indent);\n113\t parent.children.push(node);\n114\t stack.push(node);\n115\t }\n116\t return root.children.length === 1 ? root.children[0] : root;\n117\t }\n118\t\n119\t function parseLinoLine(content, indent) {\n120\t var node = {\n121\t name: \"\",\n122\t id: \"\",\n123\t value: \"\",\n124\t children: [],\n125\t indent: indent,\n126\t };\n127\t var first = content.indexOf(' \"');\n128\t if (first === -1) {\n129\t node.name = content.trim();\n130\t return node;\n131\t }\n132\t node.name = content.slice(0, first).trim();\n133\t var rest = content.slice(first + 1).trim();\n134\t if (rest.length === 0 || rest[0] !== '\"') return node;\n135\t var closing = -1;\n136\t for (var i = 1; i < rest.length; i += 1) {\n137\t if (rest[i] === \"\\\\\") {\n138\t i += 1;\n139\t continue;\n140\t }\n141\t if (rest[i] === '\"') {\n142\t closing = i;\n143\t break;\n144\t }\n145\t }\n146\t if (closing === -1) return node;\n147\t node.id = unescapeValue(rest.slice(1, closing));\n148\t node.value = node.id;\n149\t return node;\n150\t }\n151\t\n152\t function findChildren(node, name) {\n153\t if (!node || !Array.isArray(node.children)) return [];\n154\t return node.children.filter(function (child) {\n155\t return child.name === name;\n156\t });\n157\t }\n158\t\n159\t function findChildValue(node, name) {\n160\t var match = findChildren(node, name)[0];\n161\t return match ? match.id : \"\";\n162\t }\n163\t\n164\t function extractMultilingualResponses(node) {\n165\t // The seed stores both a canonical `text` (kept stable so deterministic\n166\t // tests can match it) and zero or more `variant` entries. Issue #27 adds\n167\t // `variant`s to greetings so the demo can randomise its hello messages;\n168\t // issue #160 adds separated courtesy acknowledgement/follow-up fragments.\n169\t var responses = {};\n170\t if (!node) return responses;\n171\t var entries = findChildren(node, \"response\");\n172\t for (var i = 0; i < entries.length; i += 1) {\n173\t var entry = entries[i];\n174\t var intent = findChildValue(entry, \"intent\");\n175\t var language = findChildValue(entry, \"language\");\n176\t var text = findChildValue(entry, \"text\");\n177\t if (!intent || !language || !text) continue;\n178\t var variantNodes = findChildren(entry, \"variant\");\n179\t var variants = variantNodes\n180\t .map(function (variant) {\n181\t return variant.id || \"\";\n182\t })\n183\t .filter(function (value) {\n184\t return value && value.length > 0;\n185\t });\n186\t var acknowledgementNodes = findChildren(entry, \"ack_variant\");\n187\t var acknowledgements = acknowledgementNodes\n188\t .map(function (variant) {\n189\t return variant.id || \"\";\n190\t })\n191\t .filter(function (value) {\n192\t return value && value.length > 0;\n193\t });\n194\t var followUpNodes = findChildren(entry, \"follow_up_variant\");\n195\t var followUps = followUpNodes\n196\t .map(function (variant) {\n197\t return variant.id || \"\";\n198\t })\n199\t .filter(function (value) {\n200\t return value && value.length > 0;\n201\t });\n202\t if (!responses[intent]) responses[intent] = {};\n203\t responses[intent][language] = {\n204\t text: text,\n205\t variants: variants.length > 0 ? variants : [text],\n206\t acknowledgements: acknowledgements,\n207\t followUps: followUps,\n208\t };\n209\t }\n210\t return responses;\n211\t }\n212\t\n213\t function extractConcepts(root) {\n214\t if (!root || !Array.isArray(root.children)) return [];\n215\t // Concept files are flat — each top-level child is one record.\n216\t var concepts = [];\n217\t var iterate = function (item) {\n218\t if (!item || !item.name) return;\n219\t if (!item.name.startsWith(\"concept_\")) return;\n220\t var aliases = findChildValue(item, \"aliases\");\n221\t var contexts = findChildValue(item, \"contexts\");\n222\t var contextLinks = findChildValue(item, \"context_links\");\n223\t var localized = findChildren(item, \"localized\").map(function (loc) {\n224\t var locAliases = findChildValue(loc, \"aliases\");\n225\t return {\n226\t language: loc.id,\n227\t term: findChildValue(loc, \"term\"),\n228\t aliases: locAliases ? locAliases.split(\"|\").map(trim).filter(Boolean) : [],\n229\t summary: findChildValue(loc, \"summary\"),\n230\t source: findChildValue(loc, \"source\"),\n231\t sourceKind: findChildValue(loc, \"source_kind\"),\n232\t };\n233\t });\n234\t concepts.push({\n235\t slug: item.name,\n236\t term: findChildValue(item, \"term\"),\n237\t category: findChildValue(item, \"category\") || \"concept\",\n238\t summary: findChildValue(item, \"summary\"),\n239\t source: findChildValue(item, \"source\"),\n240\t sourceKind: findChildValue(item, \"source_kind\") || \"project-docs\",\n241\t wikidata: findChildValue(item, \"wikidata\"),\n242\t aliases: aliases ? aliases.split(\"|\").map(trim).filter(Boolean) : [],\n243\t contexts: contexts ? contexts.split(\"|\").map(trim).filter(Boolean) : [],\n244\t contextLinks: contextLinks\n245\t ? contextLinks.split(\"|\").map(trim).filter(Boolean)\n246\t : [],\n247\t localized: localized,\n248\t });\n249\t };\n250\t if (root.name && root.name.startsWith(\"concept_\")) {\n251\t iterate(root);\n252\t } else if (Array.isArray(root.children)) {\n253\t root.children.forEach(iterate);\n254\t }\n255\t return concepts;\n256\t }\n257\t\n258\t // Extract disambiguating context records (`concept-contexts.lino`).\n259\t // Each context is anchored by a Wikidata Q-ID and carries per-language\n260\t // localized labels plus a `|`-separated alias list (free-text phrases the\n261\t // user might type in the four supported languages).\n262\t function extractConceptContexts(root) {\n263\t if (!root || !Array.isArray(root.children)) return [];\n264\t var out = [];\n265\t var visit = function (parent) {\n266\t var entries = findChildren(parent, \"context\");\n267\t for (var i = 0; i < entries.length; i += 1) {\n268\t var entry = entries[i];\n269\t if (!entry.id) continue;\n270\t var aliases = findChildValue(entry, \"aliases\");\n271\t var labels = findChildren(entry, \"label\").map(function (label) {\n272\t return { language: label.id, text: findChildValue(label, \"text\") };\n273\t });\n274\t out.push({\n275\t slug: entry.id,\n276\t wikidata: findChildValue(entry, \"wikidata\"),\n277\t aliases: aliases ? aliases.split(\"|\").map(trim).filter(Boolean) : [],\n278\t labels: labels,\n279\t });\n280\t }\n281\t };\n282\t visit(root);\n283\t for (var i = 0; i < root.children.length; i += 1) {\n284\t visit(root.children[i]);\n285\t }\n286\t return out;\n287\t }\n288\t\n289\t function extractFacts(root) {\n290\t if (!root || !Array.isArray(root.children)) return [];\n291\t var facts = [];\n292\t var visit = function (item) {\n293\t if (!item || !item.name || item.name.indexOf(\"fact_\") !== 0) return;\n294\t var localized = findChildren(item, \"localized\").map(function (loc) {\n295\t return {\n296\t language: loc.id,\n297\t subjectLabel: findChildValue(loc, \"subject_label\"),\n298\t valueLabel: findChildValue(loc, \"value_label\"),\n299\t summary: findChildValue(loc, \"summary\"),\n300\t source: findChildValue(loc, \"source\"),\n301\t sourceKind: findChildValue(loc, \"source_kind\"),\n302\t };\n303\t });\n304\t facts.push({\n305\t slug: item.name,\n306\t intent: findChildValue(item, \"intent\") || \"fact_lookup\",\n307\t category: findChildValue(item, \"category\"),\n308\t wikidata: splitList(findChildValue(item, \"wikidata\")),\n309\t relation: findChildValue(item, \"relation\"),\n310\t subjectQid: findChildValue(item, \"subject_qid\"),\n311\t valueQid: findChildValue(item, \"value_qid\"),\n312\t subjectLabel: findChildValue(item, \"subject_label\"),\n313\t valueLabel: findChildValue(item, \"value_label\"),\n314\t subjectAliases: splitList(findChildValue(item, \"subject_aliases\")).map(toLower),\n315\t questionKeywords: splitList(findChildValue(item, \"question_keywords\")).map(toLower),\n316\t summary: findChildValue(item, \"summary\"),\n317\t source: findChildValue(item, \"source\"),\n318\t sourceKind: findChildValue(item, \"source_kind\"),\n319\t localized: localized,\n320\t });\n321\t };\n322\t if (root.name && root.name.indexOf(\"fact_\") === 0) {\n323\t visit(root);\n324\t } else {\n325\t root.children.forEach(visit);\n326\t }\n327\t return facts;\n328\t }\n329\t\n330\t function extractProjectStatement(node) {\n331\t if (!node || node.name !== \"statement\" || !node.id) return null;\n332\t return {\n333\t text: String(node.id || \"\").trim(),\n334\t kind: findChildValue(node, \"kind\"),\n335\t weight: parseInt(findChildValue(node, \"weight\"), 10) || 50,\n336\t };\n337\t }\n338\t\n33 |
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