xby-source-coop

DeepSeek Harness (DSH) 的插件：地理空间数据访问服务

一个用于发现和访问800TB+地理空间数据的MCP服务器，支持AI客户端通过JSON-RPC协议进行交互，提供智能搜索和高效数据访问功能。

功能

• set_xby_apikey — 在聊天中设置 API 密钥（自动持久化，重启有效）
• list_accounts — Discover all organizations/accounts in Source Cooperative.

Returns:
List of account IDs (e.g., ['clarkcga', 'harvard-lil', 'youssef-harby'])

Example:

await list_accounts()
['addresscloud', 'clarkcga', 'harvard-lil', ...]

• list_products — List products (datasets) in Source Cooperative with hybrid S3 + API approach.

DEFAULT: Uses S3 direct scan (fast, includes ALL products with file counts).
Set include_unpublished=False for published-only with rich metadata from API.

Args:
account_id: Filter by specific account. REQUIRED for S3 mode (default).
If None with include_unpublished=False, lists published from all accounts.
featured_only: Only return featured/curated products (API mode only).
include_unpublished: If True (default), scan S3 for ALL products including unpublished.
If False, use API for published products with rich metadata.
include_file_count: Count files in each product (default True, only in S3 mode).

Returns:
S3 mode (default): Basic info (product_id, s3_prefix, file_count) - fast!
API mode: Rich metadata (product_id, title, description, dates) - slower

Performance:

• S3 mode (default): ~240ms, includes unpublished products + file counts
• API mode (include_unpublished=False): ~500ms, rich metadata, published only

Examples:

ALL products with file counts (DEFAULT - fast!)

await list_products(account_id="youssef-harby")
[
{"product_id": "exiobase-3", "source": "s3", "file_count": 1000, ...},
{"product_id": "egms-copernicus", "source": "s3", "file_count": 53, ...},
...
]

Published products with rich metadata (API mode)

await list_products(account_id="youssef-harby", include_unpublished=False)
[{"product_id": "egms-copernicus", "title": "...", "description": "...", ...}]

Fast mode without file counts

await list_products(account_id="youssef-harby", include_file_count=False)
[{"product_id": "exiobase-3", "source": "s3", ...}]

Featured products only (requires API mode)

await list_products(featured_only=True, include_unpublished=False)
[{"product_id": "gov-data", "featured": 1, ...}]

• get_product_details — Get comprehensive metadata for a specific product.
  Always includes README content if found in the product root directory.

Args:
account_id: Account ID (e.g., "harvard-lil")
product_id: Product ID (e.g., "gov-data")

Returns:
Full product metadata including account info, storage config, roles, tags
Always includes 'readme' field with content and metadata (if README exists)

Example:

await get_product_details("harvard-lil", "gov-data")
{
"title": "Archive of data.gov",
"description": "...",
"account": {"name": "Harvard Library Innovation Lab", ...},
"readme": {
"found": true,
"content": "# Archive of data.gov...",
"size": 5344,
"path": "harvard-lil/gov-data/README.md"
},
...
}

• list_product_files — List all files in a product with full S3 paths ready for analysis.
  Optionally show a hierarchical tree visualization (optimized for LLM tokens).

Args:
account_id: Account ID
product_id: Product ID
prefix: Optional prefix to filter files (subdirectory path)
max_files: Maximum files to return (default 1000)
show_tree: If True, return tree visualization only (more token-efficient, default True)

Returns:
Dict with either files list OR tree visualization (not both to save tokens)

Example (List mode - detailed metadata):

result = await list_product_files("harvard-lil", "gov-data", "metadata/")
print(result["files"][0])
{
"key": "harvard-lil/gov-data/metadata/metadata.jsonl.zip",
"s3_uri": "s3://us-west-2.opendata.source.coop/harvard-lil/gov-data/metadata/metadata.jsonl.zip",
"http_url": "https://data.source.coop/harvard-lil/gov-data/metadata/metadata.jsonl.zip",
"size": 1012127330,
"last_modified": "2025-02-06T16:20:22+00:00"
}

Example (Tree mode - token optimized):

result = await list_product_files("harvard-lil", "gov-data", show_tree=True)
print(result["tree"])
s3://us-west-2.opendata.source.coop/harvard-lil/gov-data/
├── README.md (5.2 KB) → s3://...README.md
├── metadata/
│ └── metadata.jsonl.zip (965.4 MB) → s3://...metadata.jsonl.zip
└── data/
└── datasets.parquet (128.5 MB) → s3://...datasets.parquet

Example (Partitioned data - smart summarization):

result = await list_product_files("account", "product", show_tree=True)
print(result["tree"])
s3://us-west-2.opendata.source.coop/account/product/
├── year={1995,1996,...,2007 (13 total)}/ [partitioned]
│ └── format={ixi,pxp}/ [partitioned]
│ └── matrix={F_impacts,F_satellite,Y,Z}/ [partitioned]
│ └── data.parquet (5.1 MB)

Note: Shows first,second,...,last (total) for >10 values; lists all for ≤10
Tree mode saves ~70% tokens + smart partition detection saves 96%+ more

• get_file_metadata — Get metadata for a specific file without downloading it.
  Uses obstore's head operation for efficient metadata retrieval.

Args:
path: S3 URI (s3://...) or relative path (account_id/product_id/file)

Returns:
File metadata: size, content-type, last-modified, etag, URLs

Example:

await get_file_metadata("harvard-lil/gov-data/README.md")
{
"key": "harvard-lil/gov-data/README.md",
"content_type": "binary/octet-stream",
"content_length": 5344,
"last_modified": "2025-02-06T16:29:24+00:00",
...
}

• search — Search for products across ALL accounts with smart fuzzy matching.
  Handles typos, partial matches, and incomplete words using 60% similarity threshold.

Hybrid Search - Automatically searches across:

• All 94+ organizations
• ALL products (published + unpublished)
• All fields: title, description, product_id

Published products: Full metadata (title, description, product_id)
Unpublished products: product_id only (no title/description available)

Args:
query: Search keyword (supports typos and partial matches)

Returns:
Top 5 matching accounts or products (sorted by relevance score)

Performance:
~5-8s (parallel 2-level S3 scan + top 5 API enrichment)

Performance breakdown:
- S3 parallel listing: ~2.4s (94 accounts + 354 products)
- Fuzzy matching: <1s (in-memory processing)
- API enrichment: ~2-5s (only top 5 results)

**11x faster** than sequential approach (was ~27s)
**Uses 2-level delimiter listing** (not full recursive scan)

Examples:

Exact match

results = await search("climate")

Fuzzy match (handles typos)

results = await search("climte") # Finds "climate"
results = await search("exiopase") # Finds "exiobase-3" (includes unpublished!)

Partial match

results = await search("geo") # Finds "geospatial", "geocoding", etc.

Result formats

print(results[0]) # Account match
{
"type": "account",
"account_id": "harvard-lil",
"match_string": "harvard-lil",
"search_score": 9.5,
"similarity": 0.95,
"matched_fields": ["account_id"]
}

print(results[1]) # Product match
{
"type": "product",
"account_id": "youssef-harby",
"product_id": "exiobase-3",
"match_string": "youssef-harby/exiobase-3",
"title": "", # Empty for unpublished products
"description": "", # Empty for unpublished products
"search_score": 8.2,
"similarity": 0.82,
"matched_fields": ["product_id"]
}

安装

方式一：从 GitHub 直接安装（推荐）

# 格式: dsh plugin --profile <profile> add github:<owner>/<repo>
dsh plugin --profile web add github:xby_skill/xby-source-coop

方式二：从本地目录安装（开发模式）

# 仅用于本地开发调试
dsh plugin --profile web add /absolute/path/to/xby-source-coop

方式三：通过 cordis.patch.yml 开发调试

dsh web --profile web --patch /absolute/path/to/dsh-ocr-plugin/cordis.patch.yml

配置

获取 API 密钥

前往 小笨羊官网 注册并获取 API 密钥。