Fixed warnings in rsi_api

src/RSIPI/rsi_api.py

@@ -25,7 +25,6 @@ class RSIAPI:
         self.graph_thread = None#
         self.trajectory_queue = []
 
-    import threading  # (Put this at the top of the file)
 
     def start_rsi(self):
         """Start the RSI client in a background thread."""
@@ -41,7 +40,7 @@ class RSIAPI:
     def update_variable(self, variable, value):
         """Dynamically update an RSI variable."""
         try:
-            if isinstance(value, str) and value.replace('.', '', 1).isdigit():
+            if isinstance(value, str) and str(value).replace('.', '', 1).isdigit():
                 value = float(value) if '.' in value else int(value)
             self.client.update_send_variable(variable, value)
             return f"✅ Updated {variable} to {value}"
@@ -197,14 +196,6 @@ class RSIAPI:
             return f"✅ {alert_type.capitalize()} alert threshold set to {value}"
         return "❌ Invalid alert type. Use 'deviation' or 'force'."
 
-    # ✅ DATA EXPORT & ANALYSIS
-    def export_movement_data(self, filename):
-        """Export movement data to a CSV file."""
-        data = self.client.get_movement_data()
-        df = pd.DataFrame(data)
-        df.to_csv(filename, index=False)
-        return f"✅ Data exported to {filename}"
-
     def generate_report(self, filename, format_type):
         """Generate a statistical report from movement data."""
         data = self.client.get_movement_data()
@@ -215,19 +206,25 @@ class RSIAPI:
             "Mean Position Deviation": df.iloc[:, 1:].mean().to_dict(),
         }
 
+        path = f"{filename}.{format_type.lower()}"
+
         if format_type == "csv":
-            df.to_csv(f"{filename}.csv", index=False)
+            df.to_csv(path, index=False)
         elif format_type == "json":
-            with open(f"{filename}.json", "w") as f:
-                json.dump(report, f)
+            with open(path, "w") as f:
+                f.write(json.dumps(report))
         elif format_type == "pdf":
             fig, ax = plt.subplots()
             df.plot(ax=ax)
-            plt.savefig(f"{filename}.pdf")
+            plt.savefig(path)
+        else:
+            raise ValueError(f"❌ Unsupported report format: {format_type}")
 
-        return f"✅ Report saved as {filename}.{format_type}"
+        return f"✅ Report saved as {path}"
 
-    def visualize_csv_log(self, csv_file, export=False):
+
+    @staticmethod
+    def visualise_csv_log(csv_file, export=False):
         """
         Visualize CSV log file directly via RSIAPI.
 
@@ -322,12 +319,12 @@ class RSIAPI:
         if not data:
             raise RuntimeError("No data available to export.")
 
-        import pandas as pd
         df = pd.DataFrame(data)
         df.to_csv(filename, index=False)
         return f"✅ Movement data exported to {filename}"
 
-    def compare_test_runs(self, file1, file2):
+    @staticmethod
+    def compare_test_runs(file1, file2):
         """
         Compares two test run CSV files.
         Returns a summary of average and max deviation for each axis.
@@ -349,30 +346,6 @@ class RSIAPI:
 
         return diffs
 
-    def generate_report(self, file, output="report.txt"):
-        """
-        Generates a summary report from a CSV log (e.g., trajectory stats).
-        """
-        import pandas as pd
-
-        df = pd.read_csv(file)
-        position_cols = [col for col in df.columns if "Receive.RIst" in col or "Send.RKorr" in col]
-        report_lines = []
-
-        report_lines.append(f"📄 RSIPI Movement Report")
-        report_lines.append(f"Source File: {file}")
-        report_lines.append(f"Total entries: {len(df)}\n")
-
-        for col in position_cols:
-            stats = df[col].describe()
-            report_lines.append(
-                f"{col}: mean={stats['mean']:.2f}, std={stats['std']:.2f}, min={stats['min']:.2f}, max={stats['max']:.2f}")
-
-        with open(output, "w") as f:
-            f.write("\n".join(report_lines))
-
-        return f"✅ Report generated: {output}"
-
     def update_cartesian(self, **kwargs):
         """
         Update Cartesian correction values (RKorr).

src/RSIPI/rsi_cli.py

@@ -91,7 +91,7 @@ class RSICommandLineInterface:
             sub = parts[0].lower()
 
             if sub == "show" and len(parts) == 2:
-                self.client.visualize_csv_log(parts[1])
+                self.client.visualise_csv_log(parts[1])
 
             elif sub == "compare" and len(parts) == 3:
                 self.client.compare_test_runs(parts[1], parts[2])

src/RSIPI/rsi_client.py

@@ -37,6 +37,7 @@ class RSIClient:
         )
 
         self.network_process.start()
+        self.logger = None  # Placeholder for logging module
 
     def start(self):
         """Keep the client running and allow periodic debugging."""

src/RSIPI/test_rsipi.py

@@ -97,7 +97,7 @@ class TestRSIPI(unittest.TestCase):
         }).to_csv(csv_file, index=False)
 
         try:
-            self.api.visualize_csv_log(csv_file, export=True)
+            self.api.visualise_csv_log(csv_file, export=True)
         except Exception as e:
             self.fail(f"Visualisation test failed: {e}")
         finally: