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from __future__ import annotations
import json
import time
from typing import Any
from urllib.parse import urlparse
from gradio import ChatMessage
from apis.country_profile import get_country_profiles
from apis.exa import search_immigration
from apis.firecrawl import crawl_site, scrape_page
from ui.globe_commands import apply_update_globe
from .messages import assistant_message_dict
from .traces import record_tool_trace
def truncate(text: str, limit: int = 4000) -> str:
if len(text) <= limit:
return text
return text[:limit] + "\n… (truncated)"
def run_tool(
name: str,
arguments: str,
*,
globe_state: dict[str, Any] | None = None,
) -> tuple[str, dict[str, Any] | None]:
try:
args = json.loads(arguments or "{}")
result, updated_globe = _run_tool(name, args, globe_state=globe_state)
return json.dumps(result, default=str), updated_globe
except Exception as exc:
return json.dumps({"error": str(exc)}), globe_state
def _run_tool(
name: str,
args: dict[str, Any],
*,
globe_state: dict[str, Any] | None = None,
) -> tuple[Any, dict[str, Any] | None]:
if name == "think":
return {"ok": True}, globe_state
if name == "get_country_profile":
return get_country_profiles(args["countries"]), globe_state
if name == "search_immigration_info":
return (
search_immigration(
query=args["query"],
num_results=min(args.get("num_results", 8), 15),
country=args.get("country"),
include_domains=args.get("include_domains"),
),
globe_state,
)
if name == "scrape_web_page":
return (
scrape_page(
url=args["url"],
country=args.get("country"),
),
globe_state,
)
if name == "crawl_web_site":
return (
crawl_site(
url=args["url"],
limit=min(args.get("limit", 10), 20),
include_paths=args.get("include_paths"),
country=args.get("country"),
),
globe_state,
)
if name == "update_globe":
if globe_state is None:
return {"error": "Globe state is unavailable"}, None
return apply_update_globe(globe_state, args)
return {"error": f"Unknown tool: {name}"}, globe_state
def _parse_arguments(arguments: str) -> dict[str, Any]:
try:
parsed = json.loads(arguments or "{}")
return parsed if isinstance(parsed, dict) else {}
except json.JSONDecodeError:
return {}
def _load_result(result: str) -> dict[str, Any]:
try:
parsed = json.loads(result)
return parsed if isinstance(parsed, dict) else {}
except json.JSONDecodeError:
return {}
def _normalized_tool_calls(tool_calls: list[dict[str, Any]]) -> list[dict[str, Any]]:
"""Keep replayed assistant tool calls valid for the chat-completion API."""
normalized = []
for tool_call in tool_calls:
function = tool_call.get("function") or {}
normalized.append(
{
**tool_call,
"function": {
**function,
"arguments": json.dumps(
_parse_arguments(str(function.get("arguments") or ""))
),
},
}
)
return normalized
def _join(items: list[str], fallback: str) -> str:
clean = [str(item) for item in items if item]
return ", ".join(clean) if clean else fallback
def _url_host_or_path(url: str, *, limit: int = 80) -> str:
raw = str(url or "").strip()
if not raw:
return "page"
try:
parsed = urlparse(raw if "://" in raw else f"https://{raw}")
host = parsed.netloc
path = parsed.path.strip("/")
if host and path:
return truncate(f"{host}/{path}", limit)
return truncate(host or path or raw, limit)
except Exception:
return truncate(raw, limit)
def tool_display_title(tool_name: str, args: dict[str, Any]) -> str:
if tool_name == "get_country_profile":
countries = _join(args.get("countries") or [], "selected countries")
return f"Profiles · {countries}"
if tool_name == "search_immigration_info":
query = truncate(str(args.get("query") or "immigration sources"), 80)
return f"Search · {query}"
if tool_name == "scrape_web_page":
return f"Read · {_url_host_or_path(str(args.get('url') or ''))}"
if tool_name == "crawl_web_site":
return f"Crawl · {_url_host_or_path(str(args.get('url') or ''), limit=60)}"
if tool_name == "update_globe":
countries = _join(args.get("countries") or [], "selected countries")
return f"Globe · {countries}"
return f"Using {tool_name}"
def _pending_tool_message(tool_name: str, args: dict[str, Any]) -> tuple[str, str]:
title = tool_display_title(tool_name, args)
if tool_name == "get_country_profile":
countries = _join(args.get("countries") or [], "selected countries")
return title, f"Looking up country metadata for {countries}."
if tool_name == "search_immigration_info":
query = truncate(str(args.get("query") or "immigration sources"), 180)
return title, f"Searching for official immigration information: {query}"
if tool_name == "scrape_web_page":
return title, f"Reading {args.get('url', 'the selected page')}."
if tool_name == "crawl_web_site":
return title, f"Crawling related pages from {args.get('url', 'the selected site')}."
if tool_name == "update_globe":
countries = _join(args.get("countries") or [], "the selected countries")
return title, f"Showing {countries} on the globe."
return title, f"Running `{tool_name}`."
def _format_log_result(result: str) -> Any:
loaded = _load_result(result)
serialized = json.dumps(loaded, default=str, indent=2)
if len(serialized) <= 1500:
return loaded
return serialized[:1500] + "\n… (truncated)"
def _tool_log_metadata(
tool_name: str,
parsed_args: dict[str, Any],
result: str,
) -> dict[str, Any]:
return {
"tool": tool_name,
"arguments": parsed_args,
"result": _format_log_result(result),
}
def should_emit_reasoning(
reasoning: str,
tool_calls: list[dict[str, Any]] | None,
) -> bool:
thought = reasoning.strip()
if not thought:
return False
if tool_calls and len(tool_calls) == 1:
function = tool_calls[0].get("function") or {}
if function.get("name") == "think":
return False
return True
def emit_thinking_message(
ui_messages: list[ChatMessage],
reasoning: str,
globe_state: dict[str, Any],
):
thought = reasoning.strip()
if not thought:
return
ui_messages.append(
ChatMessage(
role="assistant",
content=thought,
metadata={
"title": "Thinking",
"status": "done",
},
)
)
yield ui_messages, globe_state
def _done_tool_message(tool_name: str, args: dict[str, Any], result: str) -> str:
parsed = _load_result(result)
if parsed.get("error"):
return f"Tool returned an issue: {parsed['error']}"
if tool_name == "get_country_profile":
countries = [
country.get("name", "")
for country in parsed.get("countries", [])
if isinstance(country, dict)
]
return f"Found country metadata for {_join(countries, 'the selected countries')}."
if tool_name == "search_immigration_info":
count = parsed.get("num_results", 0)
official = parsed.get("official_results", 0)
hints = parsed.get("official_domain_hints") or []
hint_text = f" Suggested official domains: {_join(hints, 'none')}." if hints else ""
return f"Found {count} search results, including {official} likely official source(s).{hint_text}"
if tool_name == "scrape_web_page":
title = parsed.get("title") or args.get("url") or "the page"
source = parsed.get("source_url") or parsed.get("url")
return f"Extracted official page content from {title}. Source: {source}"
if tool_name == "crawl_web_site":
pages = parsed.get("pages_found", 0)
return f"Collected {pages} related page(s) from the official site."
if tool_name == "update_globe":
countries = [
country.get("name", country.get("iso2", ""))
for country in parsed.get("countries", [])
if isinstance(country, dict)
]
return f"Updated the globe with {_join(countries, 'the selected countries')}."
return f"`{tool_name}` completed."
def execute_tool_calls(
api_messages: list[dict[str, Any]],
ui_messages: list[ChatMessage],
tool_calls: list[dict[str, Any]],
content: str,
globe_state: dict[str, Any],
):
tool_calls = _normalized_tool_calls(tool_calls)
api_messages.append(assistant_message_dict(content, tool_calls))
for tool_call in tool_calls:
tool_name = tool_call["function"]["name"]
tool_args = tool_call["function"]["arguments"]
parsed_args = _parse_arguments(tool_args)
started = time.monotonic()
if tool_name == "think":
thought = str(parsed_args.get("thought") or "").strip() or "Planning next steps."
ui_messages.append(
ChatMessage(
role="assistant",
content=thought,
metadata={
"title": "Thinking",
"status": "done",
},
)
)
yield ui_messages, globe_state
result, globe_state = run_tool(
tool_name,
tool_args,
globe_state=globe_state,
)
duration = time.monotonic() - started
record_tool_trace(
tool_name=tool_name,
arguments=tool_args,
result=result,
duration=duration,
)
ui_messages[-1] = ChatMessage(
role="assistant",
content=thought,
metadata={
"title": "Thinking",
"status": "done",
"duration": duration,
"log": _tool_log_metadata(tool_name, parsed_args, result),
},
)
yield ui_messages, globe_state
api_messages.append(
{
"role": "tool",
"tool_call_id": tool_call["id"],
"name": tool_name,
"content": result,
}
)
continue
title, pending_message = _pending_tool_message(tool_name, parsed_args)
ui_messages.append(
ChatMessage(
role="assistant",
content=pending_message,
metadata={
"title": title,
"status": "pending",
"log": {
"tool": tool_name,
"arguments": parsed_args,
},
},
)
)
yield ui_messages, globe_state
result, globe_state = run_tool(
tool_name,
tool_args,
globe_state=globe_state,
)
duration = time.monotonic() - started
record_tool_trace(
tool_name=tool_name,
arguments=tool_args,
result=result,
duration=duration,
)
ui_messages[-1] = ChatMessage(
role="assistant",
content=_done_tool_message(tool_name, parsed_args, result),
metadata={
"title": title,
"status": "done",
"duration": duration,
"log": _tool_log_metadata(tool_name, parsed_args, result),
},
)
yield ui_messages, globe_state
api_messages.append(
{
"role": "tool",
"tool_call_id": tool_call["id"],
"name": tool_name,
"content": result,
}
)
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