111 lines
3.3 KiB
Python
111 lines
3.3 KiB
Python
from fastmcp import FastMCP
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from fastmcp.server.dependencies import get_http_headers
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from psycopg.rows import dict_row
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import cohere
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import dotenv
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import psycopg
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import os
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import json
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# Load .env file if it exists (for local dev)
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dotenv.load_dotenv()
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# Required environment variables
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COHERE_API_KEY = os.environ["COHERE_API_KEY"]
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# Database config
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DB_HOST = os.environ.get("DB_HOST", "localhost")
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DB_PORT = int(os.environ.get("DB_PORT", "5432"))
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DB_NAME = os.environ.get("DB_NAME", "cavepediav2_db")
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DB_USER = os.environ.get("DB_USER", "cavepediav2_user")
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DB_PASSWORD = os.environ["DB_PASSWORD"]
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co = cohere.ClientV2(COHERE_API_KEY)
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conn = psycopg.connect(
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host=DB_HOST,
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port=DB_PORT,
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dbname=DB_NAME,
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user=DB_USER,
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password=DB_PASSWORD,
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row_factory=dict_row,
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)
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mcp = FastMCP("Cavepedia MCP")
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def get_user_roles() -> list[str]:
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"""Extract user roles from the X-User-Roles header."""
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headers = get_http_headers()
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roles_header = headers.get("x-user-roles", "")
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if roles_header:
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try:
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return json.loads(roles_header)
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except json.JSONDecodeError:
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return []
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return []
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def embed(text, input_type):
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resp = co.embed(
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texts=[text],
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model='embed-v4.0',
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input_type=input_type,
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embedding_types=['float'],
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)
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assert resp.embeddings.float_ is not None
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return resp.embeddings.float_[0]
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def search(query, roles: list[str]) -> list[dict]:
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query_embedding = embed(query, 'search_query')
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if not roles:
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# No roles = no results
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return []
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rows = conn.execute(
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'SELECT * FROM embeddings WHERE embedding IS NOT NULL AND role = ANY(%s) ORDER BY embedding <=> %s::vector LIMIT 5',
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(roles, query_embedding)
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).fetchall()
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docs = []
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for row in rows:
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docs.append({ 'key': row['key'], 'content': row['content']})
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return docs
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@mcp.tool
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def get_cave_location(cave: str, state: str, county: str) -> list[dict]:
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"""Lookup cave location as coordinates. Returns up to 5 matches, ordered by most to least relevant."""
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roles = get_user_roles()
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return search(f'{cave} Location, latitude, Longitude. Located in {state} and {county} county.', roles)
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@mcp.tool
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def general_caving_information(query: str) -> list[dict]:
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"""General purpose endpoint for any topic related to caves. Returns up to 5 matches, ordered by most to least relevant."""
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roles = get_user_roles()
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return search(query, roles)
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@mcp.tool
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def get_document_page(document: str, page: int) -> dict:
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"""Lookup a specific page of a document by its path and page number. Document should be the path like 'nss/compasstape/issue_20.pdf'."""
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roles = get_user_roles()
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if not roles:
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return {"error": "No roles assigned"}
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key = f"{document}/page-{page}.pdf"
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row = conn.execute(
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'SELECT key, content FROM embeddings WHERE key = %s AND role = ANY(%s)',
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(key, roles)
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).fetchone()
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if row:
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return {"key": row["key"], "content": row["content"]}
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return {"error": f"Page not found: {key}"}
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@mcp.tool
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def get_user_info() -> dict:
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"""Get information about the current user's roles."""
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roles = get_user_roles()
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return {
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"roles": roles,
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}
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if __name__ == "__main__":
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mcp.run(transport='http', host='::1', port=9031)
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