Add docker-service stubs and ignore runtime artifacts.

This tracks compose and source files for mcp-stub/phoenix while excluding local runtime data and wheel artifacts.

Made-with: Cursor
This commit is contained in:
Barabashka
2026-04-23 12:44:12 +03:00
parent 6ff2c8b754
commit 53d666f0e0
8 changed files with 213 additions and 0 deletions
+104
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from __future__ import annotations
import os
from datetime import datetime, timezone
from typing import Any
from mcp.server.fastmcp import FastMCP
def _utc_now_iso() -> str:
return datetime.now(timezone.utc).isoformat()
def _base_result(tool_name: str, ok: bool, payload: dict[str, Any]) -> dict[str, Any]:
return {
"tool_name": tool_name,
"ok": ok,
"payload": payload,
"received_at": _utc_now_iso(),
}
mcp = FastMCP(
"prisma_mcp_stub",
host=os.getenv("MCP_STUB_HOST", "0.0.0.0"),
port=int(os.getenv("MCP_STUB_PORT", "8081")),
streamable_http_path="/mcp",
)
@mcp.tool()
def search_news_sources(url: str) -> dict[str, Any]:
return _base_result(
tool_name="search_news_sources",
ok=True,
payload={
"input_url": str(url),
"items": [
{"url": "https://news-a.example/article-1"},
{"url": "https://news-b.example/article-2"},
{"url": "https://news-c.example/article-3"},
],
},
)
@mcp.tool()
def parse_article(url: str) -> dict[str, Any]:
return _base_result(
tool_name="parse_article",
ok=True,
payload={
"url": str(url),
"title": "Stub article title",
"published_at": "2026-01-01T10:00:00+00:00",
"text": "Stub parsed article content.",
},
)
@mcp.tool()
def extract_publication_date(article_text: str) -> dict[str, Any]:
return _base_result(
tool_name="extract_publication_date",
ok=True,
payload={
"text_size": len(article_text),
"published_at": "2026-01-01T10:00:00+00:00",
"confidence": 0.77,
},
)
@mcp.tool()
def rank_sources_by_date(items: list[dict[str, Any]]) -> dict[str, Any]:
ranked = sorted(items, key=lambda item: str(item.get("published_at", "")))
return _base_result(
tool_name="rank_sources_by_date",
ok=True,
payload={
"input_count": len(items),
"ranked_items": ranked,
},
)
@mcp.tool()
def generate_summary(items: list[dict[str, Any]]) -> dict[str, Any]:
first_url = ""
if items:
first_url = str(items[0].get("url", ""))
return _base_result(
tool_name="generate_summary",
ok=True,
payload={
"input_count": len(items),
"summary": "По заглушечным данным самым ранним источником считается " + first_url,
},
)
if __name__ == "__main__":
mcp.run(transport="streamable-http")