diff --git a/mcp-servers/hy3-data-analyst/.env.example b/mcp-servers/hy3-data-analyst/.env.example new file mode 100644 index 00000000..7366bca8 --- /dev/null +++ b/mcp-servers/hy3-data-analyst/.env.example @@ -0,0 +1,9 @@ +# Local vLLM/SGLang defaults. Use a real key only when your endpoint requires one. +HY3_API_BASE=http://127.0.0.1:8000/v1 +HY3_API_KEY=EMPTY +HY3_MODEL=hy3 + +# Only files below this directory can be read by MCP tools. +HY3_DATA_DIR=/absolute/path/to/your/data +HY3_MAX_FILE_BYTES=10485760 +HY3_TIMEOUT_SECONDS=120 diff --git a/mcp-servers/hy3-data-analyst/.gitignore b/mcp-servers/hy3-data-analyst/.gitignore new file mode 100644 index 00000000..5641ed0a --- /dev/null +++ b/mcp-servers/hy3-data-analyst/.gitignore @@ -0,0 +1,5 @@ +.venv/ +.pytest_cache/ +.ruff_cache/ +dist/ +*.egg-info/ diff --git a/mcp-servers/hy3-data-analyst/README.md b/mcp-servers/hy3-data-analyst/README.md new file mode 100644 index 00000000..42addfc4 --- /dev/null +++ b/mcp-servers/hy3-data-analyst/README.md @@ -0,0 +1,175 @@ +# Hy3 Data Analyst MCP Server + +[中文说明](README_CN.md) + +A local, stdio-based [Model Context Protocol](https://modelcontextprotocol.io/) server that +combines safe CSV/JSON inspection with Tencent Hy3 reasoning. It is designed for data-quality, +business-analysis, and report-writing workflows in CodeBuddy, WorkBuddy, Cursor, and other MCP +clients. + +![Protocol demo](docs/demo.gif) + +## Tools + +| Tool | Hy3 call | Purpose | +| --- | --- | --- | +| `profile_dataset` | No | Inspect schema, missing values, unique counts, numeric statistics, and bounded samples | +| `analyze_dataset` | Yes | Answer a question using the generated profile and sample rows | +| `generate_data_report` | Yes | Produce an evidence-grounded Markdown report for a stated objective | + +All tools accept `.csv`, `.json`, `.jsonl`, and `.ndjson`. Files must be below `HY3_DATA_DIR`. + +## Requirements + +- Python 3.10 or newer +- [`uv`](https://docs.astral.sh/uv/) (recommended) or `pipx` +- A Hy3 OpenAI-compatible endpoint for the two reasoning tools. Follow the repository's + [deployment guide](../../README.md#deployment) to start vLLM or SGLang. + +## One-command install + +From this directory: + +```bash +uv tool install . +``` + +The `hy3-data-analyst` command is then available to MCP clients. To update an existing install: + +```bash +uv tool install --force . +``` + +For development, no global install is required. A non-editable sync avoids hidden `.pth` +compatibility issues in newer Python maintenance releases: + +```bash +uv sync --dev --no-editable +uv run --no-sync hy3-data-analyst +``` + +The process uses stdio, so an empty terminal after startup is expected. MCP clients manage it +automatically. + +## Configuration + +No API key is stored in source code. Configure the server process through environment variables: + +| Variable | Default | Meaning | +| --- | --- | --- | +| `HY3_API_BASE` | `http://127.0.0.1:8000/v1` | OpenAI-compatible Hy3 base URL | +| `HY3_API_KEY` | `EMPTY` | API key; `EMPTY` is suitable for an unsecured local server | +| `HY3_MODEL` | `hy3` | Served model name | +| `HY3_DATA_DIR` | Server working directory | Only directory the tools may read | +| `HY3_MAX_FILE_BYTES` | `10485760` (10 MiB) | Per-file safety limit | +| `HY3_TIMEOUT_SECONDS` | `120` | Hy3 request timeout | + +Copy [`.env.example`](.env.example) as a reference, but pass values from the MCP client config or a +secret manager. Do not commit a real key. + +## Client setup + +Before using a template, replace all `/ABSOLUTE/PATH/...` placeholders. Use `command -v uvx` to get +the executable path. Absolute paths are important because desktop apps may use a smaller `PATH` +than your terminal. The templates use `uvx --from `, which creates an isolated, +non-editable install and needs no manual activation. + +### CodeBuddy / WorkBuddy + +CodeBuddy's current project-level config is `/.mcp.json`. Copy +[`client-configs/codebuddy.mcp.json`](client-configs/codebuddy.mcp.json) there, update its paths and +environment, then restart or refresh MCP servers. + +For a one-off CLI check without changing user configuration: + +```bash +codebuddy \ + --mcp-config client-configs/codebuddy.mcp.json \ + --strict-mcp-config \ + --settings '{"enabledMcpjsonServers":["hy3-data-analyst"]}' \ + -p "Use profile_dataset on examples/sample_sales.csv and report the row count." +``` + +WorkBuddy's custom MCP dialog accepts the same stdio JSON. A separate +[`client-configs/workbuddy.mcp.json`](client-configs/workbuddy.mcp.json) is included for direct +import. + +### Cursor + +Copy [`client-configs/cursor.mcp.json`](client-configs/cursor.mcp.json) to +`/.cursor/mcp.json`, update its paths and environment, then enable `hy3-data-analyst` in +Cursor's MCP settings. + +## Tool-call examples + +Profile a file without a model call: + +```json +{ + "file_path": "examples/sample_sales.csv", + "max_rows": 10000, + "sample_rows": 5 +} +``` + +Ask Hy3 an analytical question: + +```json +{ + "file_path": "examples/sample_sales.csv", + "question": "Which region has the strongest observed revenue, and what are the limitations?", + "reasoning_effort": "high", + "sample_rows": 10 +} +``` + +Generate a decision-oriented report: + +```json +{ + "file_path": "examples/sample_sales.csv", + "objective": "Help a sales manager prioritize regions while highlighting data-quality risks", + "reasoning_effort": "high" +} +``` + +See [`examples/demo-prompts.md`](examples/demo-prompts.md) for prompts that MCP clients can execute. + +## Verification + +Run formatting/static checks, unit tests, and an actual stdio protocol round trip: + +```bash +uv sync --dev --no-editable +uv run --no-sync ruff check . +uv run --no-sync pytest +uv run --no-sync python scripts/check_mcp.py +``` + +The smoke client initializes an MCP session, verifies the exact three-tool inventory, and calls +`profile_dataset` on the included sample. The test suite mocks the unavailable remote model while +verifying that dataset context, the question, and reasoning mode are sent through the Hy3 call +path. To verify a real model deployment, set `HY3_API_BASE`/`HY3_API_KEY` and call either reasoning +tool from an MCP client. + +## Safety and data boundaries + +- Resolved paths cannot escape `HY3_DATA_DIR`, including through `..` or symlinks. +- Unsupported formats and oversized files are rejected before parsing. +- At most 100,000 rows are scanned and at most 20 sample rows are sent to Hy3. +- API keys are environment-only and redacted if an SDK error happens to include them. +- `profile_dataset` is fully local. The two Hy3 tools send the generated profile and selected sample + rows to the configured endpoint, so use `sample_rows=0` for sensitive datasets. +- The server never modifies source datasets. + +## Current limitations + +- Numeric statistics are descriptive (`min`, `max`, and `mean`) and do not replace a full analytics + engine. +- Nested JSON values are serialized as strings; deeply nested normalization is intentionally out of + scope. +- `rows_scanned` is the scanned count, not a guaranteed total when `truncated` is `true`. + +## License + +Apache License 2.0, consistent with the parent repository. diff --git a/mcp-servers/hy3-data-analyst/README_CN.md b/mcp-servers/hy3-data-analyst/README_CN.md new file mode 100644 index 00000000..ce15fce2 --- /dev/null +++ b/mcp-servers/hy3-data-analyst/README_CN.md @@ -0,0 +1,153 @@ +# Hy3 数据分析 MCP Server + +这是一个本地 stdio 模式的 MCP Server，把 CSV/JSON 安全读取、基础统计与腾讯 Hy3 推理组合 +为可复用的数据分析工作流，可接入 CodeBuddy、WorkBuddy、Cursor 等 MCP 客户端。 + +![协议调用演示](docs/demo.gif) + +## 提供的工具 + +| 工具 | 是否调用 Hy3 | 功能 | +| --- | --- | --- | +| `profile_dataset` | 否 | 检查字段类型、缺失值、唯一值、数值统计和有限样例 | +| `analyze_dataset` | 是 | 基于数据画像和样例回答具体分析问题 | +| `generate_data_report` | 是 | 按给定目标生成有数据依据的 Markdown 报告 | + +支持 `.csv`、`.json`、`.jsonl`、`.ndjson`，所有文件必须位于 `HY3_DATA_DIR` 内。 + +## 环境要求 + +- Python 3.10+ +- 推荐使用 [`uv`](https://docs.astral.sh/uv/)，也可用 `pipx` +- 后两个工具需要 Hy3 的 OpenAI 兼容接口；本地部署方式见仓库的 + [部署文档](../../README_CN.md#部署) + +## 一条命令安装 + +在当前目录运行： + +```bash +uv tool install . +``` + +安装后，MCP 客户端可直接启动 `hy3-data-analyst`。开发模式无需全局安装；使用非 editable +安装可避开新版 Python 对隐藏 `.pth` 文件的兼容问题： + +```bash +uv sync --dev --no-editable +uv run --no-sync hy3-data-analyst +``` + +该命令使用 stdio 通信，直接在终端启动后没有输出属于正常现象。 + +## 环境变量 + +代码中不保存 API Key，全部配置由 MCP 客户端传入： + +| 变量 | 默认值 | 说明 | +| --- | --- | --- | +| `HY3_API_BASE` | `http://127.0.0.1:8000/v1` | Hy3 OpenAI 兼容接口地址 | +| `HY3_API_KEY` | `EMPTY` | 接口密钥；无鉴权的本地服务可用 `EMPTY` | +| `HY3_MODEL` | `hy3` | 服务端模型名 | +| `HY3_DATA_DIR` | Server 启动目录 | 工具唯一允许读取的根目录 | +| `HY3_MAX_FILE_BYTES` | `10485760` | 单文件大小上限（10 MiB） | +| `HY3_TIMEOUT_SECONDS` | `120` | Hy3 请求超时秒数 | + +可参考 [`.env.example`](.env.example)，不要把真实密钥提交进 Git。 + +## 客户端配置 + +先把模板中的 `/ABSOLUTE/PATH/...` 全部替换为本机绝对路径；`command -v uvx` 可查看 `uvx` +的真实位置。桌面应用的 `PATH` 往往和终端不同，因此模板建议使用绝对路径。模板通过 +`uvx --from <包路径>` 创建隔离的非 editable 安装，无需手动激活环境。 + +### CodeBuddy / WorkBuddy + +CodeBuddy 当前推荐的项目级配置文件是 `<项目根目录>/.mcp.json`。将 +[`client-configs/codebuddy.mcp.json`](client-configs/codebuddy.mcp.json) 复制到该位置，替换路径 +及环境变量，然后刷新 MCP Server。 + +也可用 CLI 做一次性验证，而不修改用户级配置： + +```bash +codebuddy \ + --mcp-config client-configs/codebuddy.mcp.json \ + --strict-mcp-config \ + --settings '{"enabledMcpjsonServers":["hy3-data-analyst"]}' \ + -p "调用 profile_dataset 检查 examples/sample_sales.csv，并告诉我行数。" +``` + +WorkBuddy 的自定义 MCP 界面接受相同的 stdio JSON，可直接导入 +[`client-configs/workbuddy.mcp.json`](client-configs/workbuddy.mcp.json)。 + +### Cursor + +将 [`client-configs/cursor.mcp.json`](client-configs/cursor.mcp.json) 复制到 +`<项目根目录>/.cursor/mcp.json`，替换路径和环境变量，然后在 Cursor MCP 设置中启用。 + +## 调用示例 + +无需模型即可检查数据： + +```json +{ + "file_path": "examples/sample_sales.csv", + "max_rows": 10000, + "sample_rows": 5 +} +``` + +让 Hy3 回答数据问题： + +```json +{ + "file_path": "examples/sample_sales.csv", + "question": "哪个地区的已观察营收最强？这个结论有什么局限？", + "reasoning_effort": "high", + "sample_rows": 10 +} +``` + +让 Hy3 生成报告： + +```json +{ + "file_path": "examples/sample_sales.csv", + "objective": "帮助销售经理确定地区优先级，同时指出数据质量风险", + "reasoning_effort": "high" +} +``` + +## 验证 + +```bash +uv sync --dev --no-editable +uv run --no-sync ruff check . +uv run --no-sync pytest +uv run --no-sync python scripts/check_mcp.py +``` + +最后一条命令会真正启动 stdio Server、完成 MCP 初始化、核对 3 个工具并调用 +`profile_dataset`。测试会 mock 当前不可用的远端模型，但会验证问题、数据上下文和推理模式确实 +进入 Hy3 API 调用路径。若要验证真实推理，请设置可用的 `HY3_API_BASE`/`HY3_API_KEY` 后， +从 MCP 客户端调用后两个工具。 + +## 安全边界 + +- 解析后的路径不能越过 `HY3_DATA_DIR`，`..` 与符号链接也不能绕过。 +- 不支持的格式和超大文件会在解析前拒绝。 +- 最多扫描 100,000 行，最多向 Hy3 发送 20 行样例。 +- API Key 只来自环境变量，SDK 错误信息中的 Key 会被脱敏。 +- `profile_dataset` 完全本地执行；后两个工具会把画像和所选样例发送到配置的 Hy3 接口。 + 敏感数据可设置 `sample_rows=0`。 +- Server 不会修改原始数据文件。 + +## 已知限制 + +- 数值统计仅包含 `min`、`max`、`mean`，不能代替完整数据分析引擎。 +- 嵌套 JSON 值会序列化为字符串，不做深层展开。 +- 当 `truncated=true` 时，`rows_scanned` 是已扫描行数，不代表文件总行数。 + +## License + +Apache License 2.0，与上级项目保持一致。 diff --git a/mcp-servers/hy3-data-analyst/VALIDATION.md b/mcp-servers/hy3-data-analyst/VALIDATION.md new file mode 100644 index 00000000..6bcf92d6 --- /dev/null +++ b/mcp-servers/hy3-data-analyst/VALIDATION.md @@ -0,0 +1,21 @@ +# Validation record + +Validated locally on 2026-07-23 (Asia/Shanghai). + +| Layer | Client/runtime | Result | +| --- | --- | --- | +| Static checks | Ruff 0.15.22 | Passed | +| Unit/integration tests | pytest on CPython 3.12 | Passed | +| MCP protocol | MCP Python SDK `ClientSession` over stdio | Initialized, listed 3 tools, called `profile_dataset` | +| AI client | WorkBuddy 2.115.0 bundled CodeBuddy CLI | Loaded the MCP server and called `profile_dataset` | + +Observed result for `examples/sample_sales.csv` in both MCP checks: + +- `rows_scanned`: 6 +- `column_count`: 6 +- `units`: 1 missing value + +The machine did not provide a reachable Hy3 endpoint or `HY3_API_KEY`. The Hy3 request path is +therefore covered by mocked integration tests that assert the OpenAI-compatible request payload, +reasoning mode, grounded dataset context, response handling, and client cleanup. A live model call +remains environment-dependent and must not be represented as verified until an endpoint is supplied. diff --git a/mcp-servers/hy3-data-analyst/client-configs/codebuddy.mcp.json b/mcp-servers/hy3-data-analyst/client-configs/codebuddy.mcp.json new file mode 100644 index 00000000..0ac3d05a --- /dev/null +++ b/mcp-servers/hy3-data-analyst/client-configs/codebuddy.mcp.json @@ -0,0 +1,20 @@ +{ + "mcpServers": { + "hy3-data-analyst": { + "type": "stdio", + "command": "/ABSOLUTE/PATH/TO/uvx", + "args": [ + "--from", + "/ABSOLUTE/PATH/TO/Hy3/mcp-servers/hy3-data-analyst", + "hy3-data-analyst" + ], + "env": { + "HY3_API_BASE": "http://127.0.0.1:8000/v1", + "HY3_API_KEY": "EMPTY", + "HY3_MODEL": "hy3", + "HY3_DATA_DIR": "/ABSOLUTE/PATH/TO/DATA" + }, + "description": "Profile local datasets and analyze them with Tencent Hy3" + } + } +} diff --git a/mcp-servers/hy3-data-analyst/client-configs/cursor.mcp.json b/mcp-servers/hy3-data-analyst/client-configs/cursor.mcp.json new file mode 100644 index 00000000..993538af --- /dev/null +++ b/mcp-servers/hy3-data-analyst/client-configs/cursor.mcp.json @@ -0,0 +1,19 @@ +{ + "mcpServers": { + "hy3-data-analyst": { + "type": "stdio", + "command": "/ABSOLUTE/PATH/TO/uvx", + "args": [ + "--from", + "/ABSOLUTE/PATH/TO/Hy3/mcp-servers/hy3-data-analyst", + "hy3-data-analyst" + ], + "env": { + "HY3_API_BASE": "http://127.0.0.1:8000/v1", + "HY3_API_KEY": "EMPTY", + "HY3_MODEL": "hy3", + "HY3_DATA_DIR": "/ABSOLUTE/PATH/TO/DATA" + } + } + } +} diff --git a/mcp-servers/hy3-data-analyst/client-configs/workbuddy.mcp.json b/mcp-servers/hy3-data-analyst/client-configs/workbuddy.mcp.json new file mode 100644 index 00000000..a8b2e83c --- /dev/null +++ b/mcp-servers/hy3-data-analyst/client-configs/workbuddy.mcp.json @@ -0,0 +1,20 @@ +{ + "mcpServers": { + "hy3-data-analyst": { + "type": "stdio", + "command": "/ABSOLUTE/PATH/TO/uvx", + "args": [ + "--from", + "/ABSOLUTE/PATH/TO/Hy3/mcp-servers/hy3-data-analyst", + "hy3-data-analyst" + ], + "env": { + "HY3_API_BASE": "http://127.0.0.1:8000/v1", + "HY3_API_KEY": "EMPTY", + "HY3_MODEL": "hy3", + "HY3_DATA_DIR": "/ABSOLUTE/PATH/TO/DATA" + }, + "description": "Hy3-powered local data-analysis tools" + } + } +} diff --git a/mcp-servers/hy3-data-analyst/docs/demo.gif b/mcp-servers/hy3-data-analyst/docs/demo.gif new file mode 100644 index 00000000..601a5879 Binary files /dev/null and b/mcp-servers/hy3-data-analyst/docs/demo.gif differ diff --git a/mcp-servers/hy3-data-analyst/examples/demo-prompts.md b/mcp-servers/hy3-data-analyst/examples/demo-prompts.md new file mode 100644 index 00000000..c8dea84d --- /dev/null +++ b/mcp-servers/hy3-data-analyst/examples/demo-prompts.md @@ -0,0 +1,10 @@ +# Demo prompts + +These prompts exercise all three tools against `examples/sample_sales.csv`. + +1. `Use profile_dataset on examples/sample_sales.csv and summarize its data quality.` +2. `Use analyze_dataset to identify the strongest region and explain what the sample can and cannot prove.` +3. `Use generate_data_report to create a management report focused on revenue and missing data.` + +The client process must set `HY3_DATA_DIR` to this package directory. The latter two prompts require +a reachable Hy3 OpenAI-compatible endpoint. diff --git a/mcp-servers/hy3-data-analyst/examples/sample_sales.csv b/mcp-servers/hy3-data-analyst/examples/sample_sales.csv new file mode 100644 index 00000000..5a11c65f --- /dev/null +++ b/mcp-servers/hy3-data-analyst/examples/sample_sales.csv @@ -0,0 +1,7 @@ +date,region,product,units,revenue,channel +2026-07-01,North,HyPad,12,14400,Direct +2026-07-02,South,HyPad,8,9600,Partner +2026-07-03,North,HyBook,5,7500,Direct +2026-07-04,East,HyBook,7,10500,Online +2026-07-05,South,HyPhone,15,18000,Online +2026-07-06,East,HyPhone,,13200,Partner diff --git a/mcp-servers/hy3-data-analyst/pyproject.toml b/mcp-servers/hy3-data-analyst/pyproject.toml new file mode 100644 index 00000000..07221e58 --- /dev/null +++ b/mcp-servers/hy3-data-analyst/pyproject.toml @@ -0,0 +1,41 @@ +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" + +[project] +name = "hy3-data-analyst-mcp" +version = "0.1.0" +description = "A secure local MCP data-analysis server powered by Tencent Hy3" +readme = "README.md" +license = { text = "Apache-2.0" } +requires-python = ">=3.10" +dependencies = [ + "mcp[cli]>=1.27,<2", + "openai>=1.0,<3", +] + +[project.scripts] +hy3-data-analyst = "hy3_data_analyst.server:main" + +[dependency-groups] +dev = [ + "pillow>=12.2,<13", + "pytest>=8.0,<10", + "pytest-asyncio>=0.24,<2", + "ruff>=0.12,<1", +] + +[tool.hatch.build.targets.wheel] +packages = ["src/hy3_data_analyst"] + +[tool.pytest.ini_options] +addopts = "-q" +asyncio_mode = "auto" +testpaths = ["tests"] + +[tool.ruff] +line-length = 100 +target-version = "py310" + +[tool.ruff.lint] +select = ["E", "F", "I", "UP", "B", "SIM", "RUF"] diff --git a/mcp-servers/hy3-data-analyst/scripts/check_mcp.py b/mcp-servers/hy3-data-analyst/scripts/check_mcp.py new file mode 100644 index 00000000..a287781d --- /dev/null +++ b/mcp-servers/hy3-data-analyst/scripts/check_mcp.py @@ -0,0 +1,55 @@ +"""Launch the packaged server over stdio and verify discovery plus a real tool call.""" + +from __future__ import annotations + +import asyncio +import os +import sys +from pathlib import Path + +from mcp import ClientSession, StdioServerParameters +from mcp.client.stdio import stdio_client + +PACKAGE_ROOT = Path(__file__).resolve().parents[1] +EXPECTED_TOOLS = {"profile_dataset", "analyze_dataset", "generate_data_report"} + + +async def check() -> None: + env = dict(os.environ) + env["HY3_DATA_DIR"] = str(PACKAGE_ROOT) + params = StdioServerParameters( + command=sys.executable, + args=["-m", "hy3_data_analyst"], + env=env, + ) + + async with ( + stdio_client(params) as (read_stream, write_stream), + ClientSession(read_stream, write_stream) as session, + ): + await session.initialize() + listed = await session.list_tools() + names = {tool.name for tool in listed.tools} + if names != EXPECTED_TOOLS: + raise RuntimeError(f"unexpected tools: {sorted(names)}") + print(f"MCP initialize: OK ({len(names)} tools)") + print("Tools: " + ", ".join(sorted(names))) + + result = await session.call_tool( + "profile_dataset", + {"file_path": "examples/sample_sales.csv", "sample_rows": 2}, + ) + if result.isError: + raise RuntimeError(f"profile_dataset failed: {result.content}") + text = result.content[0].text + if '"rows_scanned":6' not in text.replace(" ", ""): + raise RuntimeError(f"unexpected profile result: {text}") + print("profile_dataset: OK (6 rows, sample_rows=2)") + + +def main() -> None: + asyncio.run(check()) + + +if __name__ == "__main__": + main() diff --git a/mcp-servers/hy3-data-analyst/scripts/render_demo.py b/mcp-servers/hy3-data-analyst/scripts/render_demo.py new file mode 100644 index 00000000..233dcf83 --- /dev/null +++ b/mcp-servers/hy3-data-analyst/scripts/render_demo.py @@ -0,0 +1,83 @@ +"""Render the verified stdio smoke-test transcript as an animated GIF.""" + +from __future__ import annotations + +from pathlib import Path + +from PIL import Image, ImageDraw, ImageFont + +PACKAGE_ROOT = Path(__file__).resolve().parents[1] +OUTPUT = PACKAGE_ROOT / "docs" / "demo.gif" +FONT_PATH = Path("/System/Library/Fonts/Menlo.ttc") + +STAGES = [ + ["$ uv run --no-sync python scripts/check_mcp.py"], + [ + "$ uv run --no-sync python scripts/check_mcp.py", + "MCP initialize: OK (3 tools)", + ], + [ + "$ uv run --no-sync python scripts/check_mcp.py", + "MCP initialize: OK (3 tools)", + "Tools: analyze_dataset, generate_data_report,", + " profile_dataset", + ], + [ + "$ uv run --no-sync python scripts/check_mcp.py", + "MCP initialize: OK (3 tools)", + "Tools: analyze_dataset, generate_data_report,", + " profile_dataset", + "profile_dataset: OK (6 rows, sample_rows=2)", + ], +] + + +def load_font(size: int) -> ImageFont.FreeTypeFont | ImageFont.ImageFont: + if FONT_PATH.exists(): + return ImageFont.truetype(str(FONT_PATH), size=size) + return ImageFont.load_default() + + +def render_stage(lines: list[str], stage: int) -> Image.Image: + image = Image.new("RGB", (960, 540), "#0b1020") + draw = ImageDraw.Draw(image) + title_font = load_font(22) + body_font = load_font(20) + label_font = load_font(14) + + draw.text((48, 38), "Hy3 Data Analyst MCP", font=title_font, fill="#f3f4f6") + draw.text((48, 74), "verified stdio client round trip", font=label_font, fill="#93c5fd") + + terminal = (48, 116, 912, 474) + draw.rounded_rectangle(terminal, radius=14, fill="#111827", outline="#334155", width=2) + for x, color in ((72, "#fb7185"), (96, "#fbbf24"), (120, "#34d399")): + draw.ellipse((x - 7, 137, x + 7, 151), fill=color) + draw.text((734, 132), "MCP / stdio", font=label_font, fill="#64748b") + + y = 188 + for index, line in enumerate(lines): + color = "#86efac" if index == 0 else "#e5e7eb" + draw.text((76, y), line, font=body_font, fill=color) + y += 46 + if stage < len(STAGES) - 1: + draw.rectangle((76, y + 2, 87, y + 25), fill="#86efac") + + draw.text((48, 504), f"step {stage + 1}/{len(STAGES)}", font=label_font, fill="#64748b") + return image + + +def main() -> None: + frames = [render_stage(lines, index) for index, lines in enumerate(STAGES)] + frames[0].save( + OUTPUT, + save_all=True, + append_images=frames[1:], + duration=[1600, 1800, 2400, 3600], + loop=0, + optimize=True, + ) + print(f"Wrote {OUTPUT} ({OUTPUT.stat().st_size} bytes)") + + +if __name__ == "__main__": + main() diff --git a/mcp-servers/hy3-data-analyst/src/hy3_data_analyst/__init__.py b/mcp-servers/hy3-data-analyst/src/hy3_data_analyst/__init__.py new file mode 100644 index 00000000..79706522 --- /dev/null +++ b/mcp-servers/hy3-data-analyst/src/hy3_data_analyst/__init__.py @@ -0,0 +1,3 @@ +"""Hy3 Data Analyst MCP server.""" + +__version__ = "0.1.0" diff --git a/mcp-servers/hy3-data-analyst/src/hy3_data_analyst/__main__.py b/mcp-servers/hy3-data-analyst/src/hy3_data_analyst/__main__.py new file mode 100644 index 00000000..d9988367 --- /dev/null +++ b/mcp-servers/hy3-data-analyst/src/hy3_data_analyst/__main__.py @@ -0,0 +1,6 @@ +from __future__ import annotations + +from .server import main + +if __name__ == "__main__": + main() diff --git a/mcp-servers/hy3-data-analyst/src/hy3_data_analyst/config.py b/mcp-servers/hy3-data-analyst/src/hy3_data_analyst/config.py new file mode 100644 index 00000000..f49a8d01 --- /dev/null +++ b/mcp-servers/hy3-data-analyst/src/hy3_data_analyst/config.py @@ -0,0 +1,57 @@ +"""Environment-backed configuration for the MCP server.""" + +from __future__ import annotations + +import os +from dataclasses import dataclass +from pathlib import Path + + +@dataclass(frozen=True) +class Settings: + """Runtime settings loaded lazily so MCP client env values take effect.""" + + api_base: str + api_key: str + model: str + data_dir: Path + max_file_bytes: int + timeout_seconds: float + + @classmethod + def from_env(cls) -> Settings: + data_dir = Path(os.environ.get("HY3_DATA_DIR", ".")).expanduser().resolve() + return cls( + api_base=os.environ.get("HY3_API_BASE", "http://127.0.0.1:8000/v1"), + api_key=os.environ.get("HY3_API_KEY", "EMPTY"), + model=os.environ.get("HY3_MODEL", "hy3"), + data_dir=data_dir, + max_file_bytes=_positive_int("HY3_MAX_FILE_BYTES", 10 * 1024 * 1024), + timeout_seconds=_positive_float("HY3_TIMEOUT_SECONDS", 120.0), + ) + + +def _positive_int(name: str, default: int) -> int: + raw = os.environ.get(name) + if raw is None: + return default + try: + value = int(raw) + except ValueError as exc: + raise ValueError(f"{name} must be an integer") from exc + if value <= 0: + raise ValueError(f"{name} must be greater than zero") + return value + + +def _positive_float(name: str, default: float) -> float: + raw = os.environ.get(name) + if raw is None: + return default + try: + value = float(raw) + except ValueError as exc: + raise ValueError(f"{name} must be a number") from exc + if value <= 0: + raise ValueError(f"{name} must be greater than zero") + return value diff --git a/mcp-servers/hy3-data-analyst/src/hy3_data_analyst/dataset.py b/mcp-servers/hy3-data-analyst/src/hy3_data_analyst/dataset.py new file mode 100644 index 00000000..47d7bef5 --- /dev/null +++ b/mcp-servers/hy3-data-analyst/src/hy3_data_analyst/dataset.py @@ -0,0 +1,272 @@ +"""Safe, dependency-light CSV/JSON profiling.""" + +from __future__ import annotations + +import csv +import json +import math +import os +import re +from collections.abc import Iterable, Iterator, Mapping +from datetime import datetime +from pathlib import Path +from statistics import fmean +from typing import Any + +from .config import Settings + +SUPPORTED_SUFFIXES = {".csv", ".json", ".jsonl", ".ndjson"} +_INTEGER_RE = re.compile(r"^[+-]?\d+$") +_MISSING_STRINGS = {"", "na", "n/a", "null", "none", "nan"} + + +class DatasetError(ValueError): + """Raised when a dataset cannot be read safely.""" + + +def profile_dataset_file( + file_path: str, + *, + max_rows: int = 10_000, + sample_rows: int = 5, + settings: Settings | None = None, +) -> dict[str, Any]: + """Return a JSON-serializable profile for a local CSV, JSON, or JSONL file.""" + config = settings or Settings.from_env() + max_rows = _bounded_int("max_rows", max_rows, minimum=1, maximum=100_000) + sample_rows = _bounded_int("sample_rows", sample_rows, minimum=0, maximum=20) + path = _resolve_path(file_path, config) + rows, truncated = _read_rows(path, max_rows=max_rows) + columns = _ordered_columns(rows) + + return { + "source": { + "file": str(path.relative_to(config.data_dir)), + "format": path.suffix.lower().lstrip("."), + "size_bytes": path.stat().st_size, + }, + "rows_scanned": len(rows), + "truncated": truncated, + "column_count": len(columns), + "columns": [_column_profile(name, rows) for name in columns], + "sample_rows": rows[:sample_rows], + } + + +def _resolve_path(file_path: str, settings: Settings) -> Path: + if not file_path.strip(): + raise DatasetError("file_path must not be empty") + root = settings.data_dir + candidate = Path(file_path).expanduser() + if not candidate.is_absolute(): + candidate = root / candidate + candidate = candidate.resolve() + + try: + inside_root = os.path.commonpath((str(root), str(candidate))) == str(root) + except ValueError: + inside_root = False + if not inside_root: + raise DatasetError(f"file_path must stay inside HY3_DATA_DIR ({root})") + if not candidate.exists(): + raise DatasetError(f"dataset not found: {file_path}") + if not candidate.is_file(): + raise DatasetError(f"dataset is not a regular file: {file_path}") + if candidate.suffix.lower() not in SUPPORTED_SUFFIXES: + allowed = ", ".join(sorted(SUPPORTED_SUFFIXES)) + raise DatasetError(f"unsupported dataset format; expected one of: {allowed}") + size = candidate.stat().st_size + if size > settings.max_file_bytes: + raise DatasetError( + f"dataset is {size} bytes, exceeding HY3_MAX_FILE_BYTES={settings.max_file_bytes}" + ) + return candidate + + +def _read_rows(path: Path, *, max_rows: int) -> tuple[list[dict[str, Any]], bool]: + suffix = path.suffix.lower() + if suffix == ".csv": + row_iter = _iter_csv(path) + elif suffix in {".jsonl", ".ndjson"}: + row_iter = _iter_jsonl(path) + else: + row_iter = _iter_json(path) + + rows: list[dict[str, Any]] = [] + for index, row in enumerate(row_iter): + if index >= max_rows: + return rows, True + rows.append(_normalize_row(row)) + return rows, False + + +def _iter_csv(path: Path) -> Iterator[dict[str, Any]]: + try: + handle = path.open("r", encoding="utf-8-sig", newline="") + with handle: + reader = csv.DictReader(handle) + if not reader.fieldnames: + raise DatasetError("CSV file has no header row") + for row in reader: + yield dict(row) + except UnicodeDecodeError as exc: + raise DatasetError("dataset must be UTF-8 encoded") from exc + except csv.Error as exc: + raise DatasetError(f"invalid CSV: {exc}") from exc + + +def _iter_json(path: Path) -> Iterator[dict[str, Any]]: + try: + with path.open("r", encoding="utf-8-sig") as handle: + payload = json.load(handle) + except UnicodeDecodeError as exc: + raise DatasetError("dataset must be UTF-8 encoded") from exc + except json.JSONDecodeError as exc: + raise DatasetError(f"invalid JSON at line {exc.lineno}, column {exc.colno}") from exc + + records: Iterable[Any] + if isinstance(payload, list): + records = payload + elif isinstance(payload, dict): + list_values = [value for value in payload.values() if isinstance(value, list)] + records = list_values[0] if len(payload) == 1 and list_values else [payload] + else: + raise DatasetError("JSON root must be an object, an array of objects, or an object list") + + for index, record in enumerate(records, start=1): + if not isinstance(record, Mapping): + raise DatasetError(f"JSON record {index} is not an object") + yield dict(record) + + +def _iter_jsonl(path: Path) -> Iterator[dict[str, Any]]: + try: + with path.open("r", encoding="utf-8-sig") as handle: + for line_number, line in enumerate(handle, start=1): + if not line.strip(): + continue + try: + record = json.loads(line) + except json.JSONDecodeError as exc: + raise DatasetError(f"invalid JSONL on line {line_number}") from exc + if not isinstance(record, Mapping): + raise DatasetError(f"JSONL record on line {line_number} is not an object") + yield dict(record) + except UnicodeDecodeError as exc: + raise DatasetError("dataset must be UTF-8 encoded") from exc + + +def _normalize_row(row: Mapping[str, Any]) -> dict[str, Any]: + return {str(key): _normalize_value(value) for key, value in row.items()} + + +def _normalize_value(value: Any) -> Any: + if value is None or isinstance(value, (str, int, float, bool)): + return value + return json.dumps(value, ensure_ascii=False, sort_keys=True) + + +def _ordered_columns(rows: list[dict[str, Any]]) -> list[str]: + seen: set[str] = set() + ordered: list[str] = [] + for row in rows: + for name in row: + if name not in seen: + seen.add(name) + ordered.append(name) + return ordered + + +def _column_profile(name: str, rows: list[dict[str, Any]]) -> dict[str, Any]: + values = [row.get(name) for row in rows] + present = [value for value in values if not _is_missing(value)] + inferred_type = _infer_type(present) + result: dict[str, Any] = { + "name": name, + "type": inferred_type, + "non_null_count": len(present), + "missing_count": len(values) - len(present), + "unique_count": len({_stable_value(value) for value in present}), + } + if inferred_type in {"integer", "number"} and present: + numbers = [_to_float(value) for value in present] + result["numeric"] = { + "min": min(numbers), + "max": max(numbers), + "mean": round(fmean(numbers), 6), + } + return result + + +def _infer_type(values: list[Any]) -> str: + if not values: + return "empty" + if all(_is_boolean(value) for value in values): + return "boolean" + if all(_is_integer(value) for value in values): + return "integer" + if all(_is_number(value) for value in values): + return "number" + if all(_is_datetime(value) for value in values): + return "datetime" + return "string" + + +def _is_missing(value: Any) -> bool: + if value is None: + return True + return isinstance(value, str) and value.strip().lower() in _MISSING_STRINGS + + +def _is_boolean(value: Any) -> bool: + if isinstance(value, bool): + return True + return isinstance(value, str) and value.strip().lower() in {"true", "false"} + + +def _is_integer(value: Any) -> bool: + if isinstance(value, bool): + return False + if isinstance(value, int): + return True + return isinstance(value, str) and bool(_INTEGER_RE.fullmatch(value.strip())) + + +def _is_number(value: Any) -> bool: + try: + _to_float(value) + except (TypeError, ValueError): + return False + return True + + +def _to_float(value: Any) -> float: + if isinstance(value, bool): + raise TypeError("booleans are not numeric") + number = float(value) + if not math.isfinite(number): + raise ValueError("non-finite numbers are not supported") + return number + + +def _is_datetime(value: Any) -> bool: + if not isinstance(value, str): + return False + candidate = value.strip().replace("Z", "+00:00") + try: + datetime.fromisoformat(candidate) + except ValueError: + return False + return True + + +def _stable_value(value: Any) -> str: + return json.dumps(value, ensure_ascii=False, sort_keys=True) + + +def _bounded_int(name: str, value: int, *, minimum: int, maximum: int) -> int: + if isinstance(value, bool) or not isinstance(value, int): + raise DatasetError(f"{name} must be an integer") + if not minimum <= value <= maximum: + raise DatasetError(f"{name} must be between {minimum} and {maximum}") + return value diff --git a/mcp-servers/hy3-data-analyst/src/hy3_data_analyst/hy3.py b/mcp-servers/hy3-data-analyst/src/hy3_data_analyst/hy3.py new file mode 100644 index 00000000..95027408 --- /dev/null +++ b/mcp-servers/hy3-data-analyst/src/hy3_data_analyst/hy3.py @@ -0,0 +1,62 @@ +"""Hy3 OpenAI-compatible API client.""" + +from __future__ import annotations + +from collections.abc import Sequence +from typing import Literal, TypedDict + +from openai import AsyncOpenAI, OpenAIError + +from .config import Settings + +ReasoningEffort = Literal["no_think", "low", "medium", "high"] + + +class ChatMessage(TypedDict): + role: Literal["system", "user"] + content: str + + +class Hy3APIError(RuntimeError): + """Raised when Hy3 cannot produce a response.""" + + +async def call_hy3( + messages: Sequence[ChatMessage], + *, + reasoning_effort: ReasoningEffort = "high", + settings: Settings | None = None, +) -> str: + """Call a Hy3 OpenAI-compatible chat-completions endpoint.""" + config = settings or Settings.from_env() + client = AsyncOpenAI( + base_url=config.api_base, + api_key=config.api_key, + timeout=config.timeout_seconds, + ) + try: + response = await client.chat.completions.create( + model=config.model, + messages=list(messages), + temperature=0.6, + top_p=0.95, + extra_body={ + "chat_template_kwargs": {"reasoning_effort": reasoning_effort}, + }, + ) + except OpenAIError as exc: + detail = _redact(str(exc), config.api_key) + raise Hy3APIError(f"Hy3 API request failed ({type(exc).__name__}): {detail}") from exc + finally: + await client.close() + + content = response.choices[0].message.content if response.choices else None + if not content: + raise Hy3APIError("Hy3 API returned an empty response") + return content + + +def _redact(message: str, api_key: str) -> str: + if api_key and api_key != "EMPTY": + return message.replace(api_key, "[REDACTED]") + return message diff --git a/mcp-servers/hy3-data-analyst/src/hy3_data_analyst/server.py b/mcp-servers/hy3-data-analyst/src/hy3_data_analyst/server.py new file mode 100644 index 00000000..6a893007 --- /dev/null +++ b/mcp-servers/hy3-data-analyst/src/hy3_data_analyst/server.py @@ -0,0 +1,140 @@ +"""FastMCP stdio server exposing Hy3-powered data-analysis tools.""" + +from __future__ import annotations + +import json +from typing import Any + +from mcp.server.fastmcp import FastMCP + +from .config import Settings +from .dataset import profile_dataset_file +from .hy3 import ReasoningEffort, call_hy3 + +mcp = FastMCP( + "Hy3 Data Analyst", + instructions=( + "Inspect local CSV/JSON datasets, ask evidence-grounded questions, and generate " + "Markdown reports with Hy3. Files are restricted to HY3_DATA_DIR." + ), +) + + +@mcp.tool() +def profile_dataset( + file_path: str, + max_rows: int = 10_000, + sample_rows: int = 5, +) -> dict[str, Any]: + """Profile a CSV, JSON, JSONL, or NDJSON dataset without calling an LLM. + + Args: + file_path: Relative path inside HY3_DATA_DIR (absolute paths inside it are also accepted). + max_rows: Maximum rows to scan, from 1 to 100000. + sample_rows: Number of example rows to return, from 0 to 20. + """ + return profile_dataset_file(file_path, max_rows=max_rows, sample_rows=sample_rows) + + +@mcp.tool() +async def analyze_dataset( + file_path: str, + question: str, + reasoning_effort: ReasoningEffort = "high", + sample_rows: int = 10, +) -> dict[str, Any]: + """Use Hy3 to answer a question from a bounded statistical profile and row sample. + + Args: + file_path: Relative path inside HY3_DATA_DIR. + question: Specific analytical question to answer from this dataset. + reasoning_effort: Hy3 reasoning depth: no_think, low, medium, or high. + sample_rows: Number of rows sent to Hy3, from 0 to 20. + """ + if not question.strip(): + raise ValueError("question must not be empty") + profile = profile_dataset_file(file_path, sample_rows=sample_rows) + analysis = await call_hy3( + [ + { + "role": "system", + "content": ( + "You are a rigorous data analyst. Use only the supplied profile and samples. " + "Separate observed facts from hypotheses, mention truncation, and never invent " + "rows, statistics, or causal claims." + ), + }, + { + "role": "user", + "content": ( + f"Question: {question.strip()}\n\n" + f"Dataset profile:\n{_profile_json(profile)}" + ), + }, + ], + reasoning_effort=reasoning_effort, + ) + return { + "file": profile["source"]["file"], + "question": question.strip(), + "rows_scanned": profile["rows_scanned"], + "truncated": profile["truncated"], + "analysis": analysis, + } + + +@mcp.tool() +async def generate_data_report( + file_path: str, + objective: str, + reasoning_effort: ReasoningEffort = "high", + sample_rows: int = 10, +) -> str: + """Ask Hy3 to create an evidence-grounded Markdown report for a local dataset. + + Args: + file_path: Relative path inside HY3_DATA_DIR. + objective: Audience, decision, or business objective the report should address. + reasoning_effort: Hy3 reasoning depth: no_think, low, medium, or high. + sample_rows: Number of rows sent to Hy3, from 0 to 20. + """ + if not objective.strip(): + raise ValueError("objective must not be empty") + profile = profile_dataset_file(file_path, sample_rows=sample_rows) + return await call_hy3( + [ + { + "role": "system", + "content": ( + "You write concise Markdown data reports. Ground every quantitative statement " + "in the supplied profile. State limitations prominently, especially when the " + "scan is truncated. Do not reveal chain-of-thought; provide conclusions and " + "brief supporting evidence only." + ), + }, + { + "role": "user", + "content": ( + f"Report objective: {objective.strip()}\n\n" + f"Dataset profile:\n{_profile_json(profile)}\n\n" + "Return Markdown with: title, executive summary, data quality, key findings, " + "recommended actions, and limitations." + ), + }, + ], + reasoning_effort=reasoning_effort, + ) + + +def _profile_json(profile: dict[str, Any]) -> str: + return json.dumps(profile, ensure_ascii=False, indent=2) + + +def main() -> None: + """Run the local stdio MCP transport.""" + Settings.from_env() # Fail fast on malformed environment values. + mcp.run(transport="stdio") + + +if __name__ == "__main__": + main() diff --git a/mcp-servers/hy3-data-analyst/tests/test_config.py b/mcp-servers/hy3-data-analyst/tests/test_config.py new file mode 100644 index 00000000..395c5e1c --- /dev/null +++ b/mcp-servers/hy3-data-analyst/tests/test_config.py @@ -0,0 +1,38 @@ +from pathlib import Path + +import pytest + +from hy3_data_analyst.config import Settings +from hy3_data_analyst.hy3 import _redact + + +def test_settings_are_loaded_from_environment( + tmp_path: Path, + monkeypatch: pytest.MonkeyPatch, +) -> None: + monkeypatch.setenv("HY3_API_BASE", "https://hy3.example/v1") + monkeypatch.setenv("HY3_API_KEY", "test-only-key") + monkeypatch.setenv("HY3_MODEL", "custom-hy3") + monkeypatch.setenv("HY3_DATA_DIR", str(tmp_path)) + monkeypatch.setenv("HY3_MAX_FILE_BYTES", "2048") + monkeypatch.setenv("HY3_TIMEOUT_SECONDS", "30") + + result = Settings.from_env() + + assert result.api_base == "https://hy3.example/v1" + assert result.api_key == "test-only-key" + assert result.model == "custom-hy3" + assert result.data_dir == tmp_path.resolve() + assert result.max_file_bytes == 2048 + assert result.timeout_seconds == 30 + + +def test_invalid_environment_limit_fails_fast(monkeypatch: pytest.MonkeyPatch) -> None: + monkeypatch.setenv("HY3_MAX_FILE_BYTES", "zero") + + with pytest.raises(ValueError, match="must be an integer"): + Settings.from_env() + + +def test_api_key_is_redacted_from_errors() -> None: + assert _redact("failed with sk-secret", "sk-secret") == "failed with [REDACTED]" diff --git a/mcp-servers/hy3-data-analyst/tests/test_dataset.py b/mcp-servers/hy3-data-analyst/tests/test_dataset.py new file mode 100644 index 00000000..7031758e --- /dev/null +++ b/mcp-servers/hy3-data-analyst/tests/test_dataset.py @@ -0,0 +1,92 @@ +from __future__ import annotations + +import json +from pathlib import Path + +import pytest + +from hy3_data_analyst.config import Settings +from hy3_data_analyst.dataset import DatasetError, profile_dataset_file + + +def settings(data_dir: Path, *, max_file_bytes: int = 1_000_000) -> Settings: + return Settings( + api_base="http://127.0.0.1:8000/v1", + api_key="EMPTY", + model="hy3", + data_dir=data_dir.resolve(), + max_file_bytes=max_file_bytes, + timeout_seconds=10, + ) + + +def test_profiles_csv_types_missing_values_and_numeric_stats(tmp_path: Path) -> None: + dataset = tmp_path / "sales.csv" + dataset.write_text( + "date,units,revenue,active\n" + "2026-07-01,2,3.5,true\n" + "2026-07-02,,6.5,false\n", + encoding="utf-8", + ) + + profile = profile_dataset_file("sales.csv", settings=settings(tmp_path)) + + assert profile["rows_scanned"] == 2 + assert profile["truncated"] is False + columns = {column["name"]: column for column in profile["columns"]} + assert columns["date"]["type"] == "datetime" + assert columns["units"]["type"] == "integer" + assert columns["units"]["missing_count"] == 1 + assert columns["revenue"]["numeric"] == {"min": 3.5, "max": 6.5, "mean": 5.0} + assert columns["active"]["type"] == "boolean" + + +def test_reads_json_wrapped_record_list_and_truncates(tmp_path: Path) -> None: + (tmp_path / "records.json").write_text( + json.dumps({"records": [{"id": 1}, {"id": 2}, {"id": 3}]}), + encoding="utf-8", + ) + + profile = profile_dataset_file( + "records.json", + max_rows=2, + sample_rows=1, + settings=settings(tmp_path), + ) + + assert profile["rows_scanned"] == 2 + assert profile["truncated"] is True + assert profile["sample_rows"] == [{"id": 1}] + + +def test_reads_jsonl_and_ignores_blank_lines(tmp_path: Path) -> None: + (tmp_path / "events.jsonl").write_text('{"id": 1}\n\n{"id": 2}\n', encoding="utf-8") + + profile = profile_dataset_file("events.jsonl", settings=settings(tmp_path)) + + assert profile["rows_scanned"] == 2 + + +def test_rejects_path_outside_data_directory(tmp_path: Path) -> None: + data_dir = tmp_path / "data" + data_dir.mkdir() + outside = tmp_path / "secret.csv" + outside.write_text("token\nnot-a-real-secret\n", encoding="utf-8") + + with pytest.raises(DatasetError, match="must stay inside"): + profile_dataset_file(str(outside), settings=settings(data_dir)) + + +def test_rejects_oversized_file(tmp_path: Path) -> None: + (tmp_path / "large.csv").write_text("column\n123456789\n", encoding="utf-8") + + with pytest.raises(DatasetError, match="exceeding"): + profile_dataset_file("large.csv", settings=settings(tmp_path, max_file_bytes=4)) + + +@pytest.mark.parametrize("value", [0, -1, 100_001, True]) +def test_rejects_invalid_max_rows(tmp_path: Path, value: int) -> None: + (tmp_path / "one.csv").write_text("id\n1\n", encoding="utf-8") + + with pytest.raises(DatasetError, match="max_rows"): + profile_dataset_file("one.csv", max_rows=value, settings=settings(tmp_path)) diff --git a/mcp-servers/hy3-data-analyst/tests/test_hy3.py b/mcp-servers/hy3-data-analyst/tests/test_hy3.py new file mode 100644 index 00000000..815e87e3 --- /dev/null +++ b/mcp-servers/hy3-data-analyst/tests/test_hy3.py @@ -0,0 +1,61 @@ +from __future__ import annotations + +from types import SimpleNamespace +from typing import Any + +import pytest + +from hy3_data_analyst import hy3 +from hy3_data_analyst.config import Settings + + +@pytest.mark.asyncio +async def test_call_hy3_uses_openai_compatible_payload( + monkeypatch: pytest.MonkeyPatch, + tmp_path: Any, +) -> None: + captured: dict[str, Any] = {} + + class FakeCompletions: + async def create(self, **kwargs: Any) -> Any: + captured["request"] = kwargs + return SimpleNamespace( + choices=[SimpleNamespace(message=SimpleNamespace(content="grounded answer"))] + ) + + class FakeClient: + def __init__(self, **kwargs: Any) -> None: + captured["client"] = kwargs + self.chat = SimpleNamespace(completions=FakeCompletions()) + + async def close(self) -> None: + captured["closed"] = True + + monkeypatch.setattr(hy3, "AsyncOpenAI", FakeClient) + config = Settings( + api_base="https://hy3.example/v1", + api_key="test-key", + model="hy3-test", + data_dir=tmp_path, + max_file_bytes=1024, + timeout_seconds=15, + ) + + answer = await hy3.call_hy3( + [{"role": "user", "content": "Analyze this"}], + reasoning_effort="medium", + settings=config, + ) + + assert answer == "grounded answer" + assert captured["client"] == { + "base_url": "https://hy3.example/v1", + "api_key": "test-key", + "timeout": 15, + } + assert captured["request"]["model"] == "hy3-test" + assert captured["request"]["messages"] == [{"role": "user", "content": "Analyze this"}] + assert captured["request"]["extra_body"] == { + "chat_template_kwargs": {"reasoning_effort": "medium"} + } + assert captured["closed"] is True diff --git a/mcp-servers/hy3-data-analyst/tests/test_server.py b/mcp-servers/hy3-data-analyst/tests/test_server.py new file mode 100644 index 00000000..c87433a5 --- /dev/null +++ b/mcp-servers/hy3-data-analyst/tests/test_server.py @@ -0,0 +1,78 @@ +from __future__ import annotations + +from pathlib import Path +from typing import Any + +import pytest + +from hy3_data_analyst import server + + +@pytest.fixture +def configured_dataset(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> Path: + dataset = tmp_path / "metrics.csv" + dataset.write_text("team,score\nA,10\nB,20\n", encoding="utf-8") + monkeypatch.setenv("HY3_DATA_DIR", str(tmp_path)) + return dataset + + +def test_profile_tool_returns_structured_result(configured_dataset: Path) -> None: + result = server.profile_dataset(configured_dataset.name, sample_rows=1) + + assert result["rows_scanned"] == 2 + assert result["sample_rows"] == [{"team": "A", "score": "10"}] + + +@pytest.mark.asyncio +async def test_analyze_tool_calls_hy3_with_grounded_context( + configured_dataset: Path, + monkeypatch: pytest.MonkeyPatch, +) -> None: + captured: dict[str, Any] = {} + + async def fake_call(messages: Any, **kwargs: Any) -> str: + captured["messages"] = messages + captured.update(kwargs) + return "Team B has the higher observed score." + + monkeypatch.setattr(server, "call_hy3", fake_call) + + result = await server.analyze_dataset( + configured_dataset.name, + "Which team leads?", + reasoning_effort="low", + ) + + assert result["analysis"].startswith("Team B") + assert captured["reasoning_effort"] == "low" + prompt = captured["messages"][1]["content"] + assert "Which team leads?" in prompt + assert '"rows_scanned": 2' in prompt + assert '"score": "20"' in prompt + + +@pytest.mark.asyncio +async def test_report_tool_requests_required_sections( + configured_dataset: Path, + monkeypatch: pytest.MonkeyPatch, +) -> None: + captured: dict[str, Any] = {} + + async def fake_call(messages: Any, **kwargs: Any) -> str: + captured["messages"] = messages + return "# Report\n\n## Executive summary\nB leads." + + monkeypatch.setattr(server, "call_hy3", fake_call) + + report = await server.generate_data_report(configured_dataset.name, "Help management decide") + + assert report.startswith("# Report") + prompt = captured["messages"][1]["content"] + assert "recommended actions" in prompt + assert "limitations" in prompt + + +@pytest.mark.asyncio +async def test_rejects_blank_analysis_question(configured_dataset: Path) -> None: + with pytest.raises(ValueError, match="question must not be empty"): + await server.analyze_dataset(configured_dataset.name, " ") diff --git 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