Fixes and improvements - #428
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Chenglong Wang (Chenglong-MS) wants to merge 59 commits into
Open
Chenglong Wang (Chenglong-MS) wants to merge 59 commits into
Chenglong Wang (Chenglong-MS) wants to merge 59 commits into
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Add orcarouter to the built-in providers so Data Formulator users can connect the OrcaRouter AI gateway from the model picker and via ORCAROUTER_* environment variables, mirroring the existing ollama/openai wiring. The client routes through LiteLLM's openai provider against the OrcaRouter base URL, preserving the orcarouter/ model namespace.
Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
…ovider feat: add OrcaRouter as a built-in model provider
Adds full Hindi translations for all 10 i18n domain files, following the translation guide's rules (chart type identifiers, encoding channel keys, and other computation-bound values stay in English). Registers hi in the locale index/i18next resources and language switcher labels, and documents AVAILABLE_LANGUAGES=en,zh,hi as opt-in in .env.template. Relates to #337.
folderPathPlaceholder illustrates filesystem path syntax; translating the segment words broke the example and was inconsistent with how every other path/URL placeholder in the app is left untranslated.
Add Hindi (hi) locale for frontend i18n
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| '<!doctype html><html lang="en"><head><meta charset="utf-8"><meta name="viewport" content="width=device-width">' | ||
| '<title>OpenRouter</title></head><body><p>' + message + '</p>' | ||
| '<a href="/">Return to Data Formulator</a>' | ||
| f'<script nonce="{nonce}">{script}</script></body></html>', |
| creator_id = key_info.get("creator_user_id") | ||
| connection = { | ||
| "creator_user_id": creator_id if isinstance(creator_id, str) else None, | ||
| "settings_url": "https://openrouter.ai/keys/" + hashlib.sha256(config["api_key"].encode()).hexdigest(), |
The wrapper embeds user-supplied code, so on a system whose preferred encoding is not UTF-8 (cp1252 on Windows) writing it raised UnicodeEncodeError for any non-ASCII character, and silently transcoded the rest -- the container reads run.py as UTF-8 either way. Matches the explicit encoding already used elsewhere in the package, e.g. reasoning_log.py and analyst/skills/__init__.py.
The constant table listed DEFAULT_ROW_LIMIT_EPHEMERAL in dfSlice.tsx. That identifier does not exist anywhere in the repository, and there is no separate ephemeral row limit in the frontend.
…hemeral-row docs(dev-guides): drop the nonexistent DEFAULT_ROW_LIMIT_EPHEMERAL row
fix(sandbox): write the docker wrapper script as utf-8
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| @staticmethod | ||
| def validate_name(name: str) -> None: | ||
| if not isinstance(name, str) or not re.fullmatch(r"[A-Za-z0-9][A-Za-z0-9_-]*(?:\.workflow)?\.ya?ml", name): |
Added configuration options for Cheaper Inference API.
feat: add Cheaper Inference as a built-in model provider
Translate all 10 frontend locale domains into Bahasa Indonesia (1860 keys, full parity with en). Register the bundle in locales/index.ts and i18n/index.ts, add the 'Bahasa Indonesia' language switcher label, and cover key parity with a unit test.
Add 36 missing Hindi keys and 5 missing Simplified Chinese keys introduced by newer features (semantic model sidebar, connector groups, chart quick actions, virtual sources). All four UI locales now share the same 1860-key set.
Add Indonesian (id) locale + backfill missing hi/zh keys to full parity
| paths = filesystem['allowWrite'] | ||
| if (not isinstance(paths, list) or len(paths) > 64 | ||
| or any(not isinstance(path, str) or not path or len(path) > 2000 or '\0' in path | ||
| or not Path(path).expanduser().is_absolute() for path in paths)): |
| home = Path.home().resolve() | ||
| protected = configuration_path().parent.resolve() | ||
| for path in paths: | ||
| resolved = Path(path).expanduser().resolve() |
| actor, saved['revision'], ','.join(changed_sections)) | ||
| return json_ok(snapshot()) | ||
| except ConfigurationConflict as exc: | ||
| return {'status': 'error', 'error': {'code': 'INVALID_REQUEST', 'message': str(exc), 'retry': False}}, 409 |
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This pull request introduces several improvements and refinements to the Data Formulator agent and context handling, focusing on clearer terminology, enhanced connector and skill management, and dependency updates. The most important changes are summarized below.
Agent and Context Terminology Improvements:
Connector Availability and Summary Enhancements:
Skill Preloading and System Prompt Improvements:
Dependency Updates:
vite,dompurify,echarts,js-yaml, and new resolutions forpostcss,esbuild, andtmp. [1] [2] [3]Documentation Cleanup:
docs/desktop-portable.mdfile has been removed.loops/model-evaluation/plan.mdhas been deleted.