Fix flake8 linting errors

- Remove unused imports (sys, rprint, Optional, pandas, numpy)
- Fix unused exception variable
- Remove f-string without placeholders
- Split long line in MCP server description
- Add noqa comment for intentional re-export

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

Author: blaiszik

foundry/__main__.py

@@ -10,15 +10,13 @@
 """
 
 import json
-import sys
 from typing import Optional
 
 import typer
 from rich.console import Console
 from rich.table import Table
 from rich.panel import Panel
 from rich.progress import Progress, SpinnerColumn, TextColumn
-from rich import print as rprint
 
 app = typer.Typer(
     name="foundry",
@@ -189,7 +187,7 @@ def schema(
         f = get_foundry()
         try:
             dataset = f.get_dataset(doi)
-        except Exception as e:
+        except Exception:
             console.print(f"[red]Error: Could not find dataset '{doi}'[/red]")
             raise typer.Exit(1)
 
@@ -340,7 +338,7 @@ def push_to_hf(
             console.print(f"[dim]{e}[/dim]")
             raise typer.Exit(1)
 
-        progress.update(task, description=f"Exporting to HuggingFace Hub...")
+        progress.update(task, description="Exporting to HuggingFace Hub...")
         try:
             url = push_to_hub(dataset, repo, token=token, private=private)
         except Exception as e:

foundry/integrations/__init__.py

@@ -12,7 +12,7 @@
 """
 
 try:
-    from .huggingface import push_to_hub
+    from .huggingface import push_to_hub  # noqa: F401
     __all__ = ["push_to_hub"]
 except ImportError:
     # huggingface extras not installed

foundry/integrations/huggingface.py

@@ -112,9 +112,6 @@ def push_to_hub(
 
 def _combine_inputs_targets(inputs: Dict, targets: Dict) -> Dict[str, Any]:
     """Combine input and target dictionaries into a single flat dict."""
-    import pandas as pd
-    import numpy as np
-
     combined = {}
 
     for key, value in inputs.items():
@@ -131,7 +128,6 @@ def _combine_inputs_targets(inputs: Dict, targets: Dict) -> Dict[str, Any]:
 def _flatten_data(data: Any) -> Dict[str, Any]:
     """Flatten nested data structure to a dict suitable for HF Dataset."""
     import pandas as pd
-    import numpy as np
 
     if isinstance(data, pd.DataFrame):
         return {col: data[col].tolist() for col in data.columns}

foundry/mcp/server.py

@@ -12,7 +12,7 @@
 
 import json
 import logging
-from typing import Any, Dict, List, Optional
+from typing import Any, Dict, List
 
 logger = logging.getLogger(__name__)
 
@@ -178,7 +178,8 @@ def _serialize_data(data: Any) -> Any:
     },
     {
         "name": "get_dataset_schema",
-        "description": "Get the schema of a dataset - what fields it contains, their descriptions, and units. Use this to understand the data structure before loading.",
+        "description": "Get the schema of a dataset - what fields it contains, their descriptions, "
+                       "and units. Use this to understand the data structure before loading.",
         "inputSchema": {
             "type": "object",
             "properties": {