"""
Progress handlers for PyUCC GUI.
Handles progress callbacks with batch processing to avoid GUI blocking.
"""

from pathlib import Path


class ProgressHandlers:
    """Handles progress callbacks for all analysis types with batch processing."""

    BATCH_SIZE = 50  # Insert items in batches of 50 to reduce GUI blocking
    UPDATE_FREQUENCY = 10  # Update progress UI every N files

    def __init__(self, gui_app):
        """
        Args:
                gui_app: Reference to the main GUI application instance
        """
        self.app = gui_app
        self._count_batch_buffer = []
        self._metrics_batch_buffer = []

    def on_count_progress(self, res):
        """Handle progress for countings analysis.

        Args:
                res: Dictionary with file counting results
        """
        try:
            if not isinstance(res, dict):
                return

            file = res.get("file")
            name = Path(file).name if file else ""
            code = res.get("code_lines") or res.get("code") or 0
            comment = res.get("comment_lines") or 0
            blank = res.get("blank_lines") or 0
            total = res.get("physical_lines") or 0
            lang = res.get("language") or ""
            
            # UCC extended metrics
            cmt_whole = res.get("comment_whole") or 0
            cmt_embed = res.get("comment_embedded") or 0
            directive = res.get("compiler_directives") or 0
            data_decl = res.get("data_declarations") or 0
            exec_inst = res.get("exec_instructions") or 0
            logical = res.get("logical_sloc") or 0
            physical = res.get("physical_sloc") or 0

            # Add to batch buffer with extended metrics
            self._count_batch_buffer.append(
                (name, file, int(code), int(comment), int(blank), int(total), lang,
                 int(cmt_whole), int(cmt_embed), int(directive), int(data_decl), 
                 int(exec_inst), int(logical), int(physical))
            )

            # Insert batch when buffer is full
            if len(self._count_batch_buffer) >= self.BATCH_SIZE:
                self._flush_count_batch()

            # Update progress less frequently
            self._update_progress_counter()
        except Exception:
            pass

    def on_count_done(self, results):
        """Handle completion of countings analysis."""
        # Flush remaining batch buffer
        self._flush_count_batch()
        
        # Store results for report generation
        self.app._results_cache = results if isinstance(results, list) else []
        
        # Hide metrics toggle (not relevant for countings)
        self.app.metrics_toggle_frame.grid_remove()

        self.app._current_task_id = None
        try:
            self.app._set_phase("Idle")
        except Exception:
            pass
        self.app._enable_action_buttons()

    def on_metrics_progress(self, res):
        """Handle progress for metrics analysis.

        Args:
                res: Dictionary with file metrics results
        """
        try:
            if not isinstance(res, dict):
                return

            file = res.get("file")
            name = Path(file).name if file else ""
            avg_cc = res.get("avg_cc") or res.get("avg") or 0
            func_count = res.get("func_count") or 0
            mi = res.get("mi") or 0
            
            # Calculate Total_CC (same as report)
            total_cc = int(avg_cc * func_count) if func_count > 0 else 0
            
            # Determine risk level (same logic as report)
            if avg_cc <= 10:
                risk = "Low"
            elif avg_cc <= 20:
                risk = "Medium"
            elif avg_cc <= 50:
                risk = "High"
            else:
                risk = "Very High"

            # Add to batch buffer (matching new column structure)
            self._metrics_batch_buffer.append((name, file, total_cc, f"{avg_cc:.2f}", risk, f"{mi:.2f}"))

            # Insert batch when buffer is full
            if len(self._metrics_batch_buffer) >= self.BATCH_SIZE:
                self._flush_metrics_batch()

            # Update progress
            self._update_progress_counter()
        except Exception:
            pass

    def on_metrics_done(self, results):
        """Handle completion of metrics analysis."""
        # Flush remaining batch buffer
        self._flush_metrics_batch()
        
        # Store results for report generation AND view switching
        self.app._results_cache = results if isinstance(results, list) else []
        self.app._metrics_results_cache = results if isinstance(results, list) else []
        
        # Show metrics toggle
        self.app.metrics_toggle_frame.grid()

        self.app._current_task_id = None
        try:
            self.app._set_phase("Idle")
        except Exception:
            pass
        self.app._enable_action_buttons()

    def _flush_count_batch(self):
        """Flush countings batch buffer to results tree."""
        if self._count_batch_buffer:
            for row_values in self._count_batch_buffer:
                self.app.results_tree.insert("", "end", values=row_values)
            self._count_batch_buffer.clear()

    def _flush_metrics_batch(self):
        """Flush metrics batch buffer to results tree."""
        if self._metrics_batch_buffer:
            for row_values in self._metrics_batch_buffer:
                self.app.results_tree.insert("", "end", values=row_values)
            self._metrics_batch_buffer.clear()

    def _update_progress_counter(self):
        """Update progress counter and UI (with reduced frequency)."""
        try:
            self.app._processed_files = getattr(self.app, "_processed_files", 0) + 1

            # Update UI only every N files or at completion
            if (
                self.app._processed_files % self.UPDATE_FREQUENCY == 0
                or self.app._processed_files == self.app._total_files
            ):
                self.app._lbl_files.config(
                    text=f"Files: {self.app._processed_files}/{self.app._total_files}"
                )
                self.app.progress["value"] = self.app._processed_files
        except Exception:
            pass