| import json |
| import os |
| import tkinter as tk |
| from tkinter import ttk |
|
|
| import pandas as pd |
| import rasterio |
| from PIL import Image, ImageTk |
|
|
|
|
| class DatasetTreeViewer(tk.Tk): |
| def __init__(self, host_name): |
| super().__init__() |
| self.title("Dataset Viewer — © Earth Rover Program, 2025") |
| self.geometry("1200x700") |
| self.base_path = os.path.join("datasets", host_name) |
| self.datasets = self.get_datasets(host_name) |
|
|
| |
| paned = tk.PanedWindow(self, orient=tk.HORIZONTAL, sashrelief=tk.RAISED, sashwidth=6) |
| paned.pack(fill=tk.BOTH, expand=True) |
|
|
| left_frame = tk.Frame(paned) |
| right_frame = tk.Frame(paned) |
| paned.add(left_frame) |
| paned.paneconfigure(left_frame, minsize=300) |
| paned.add(right_frame) |
|
|
| bottom_frame = tk.Frame(self) |
| bottom_frame.pack(fill=tk.X) |
|
|
| |
| checkbox_outer_frame = tk.Frame(left_frame) |
| checkbox_outer_frame.pack(pady=4) |
|
|
| self.status_filters = {} |
| default_checked = {"PROCESSED"} |
| status_options = ["UNEXAMINED", "SKIPPED", "REQUESTED", "DOWNLOADED", "PROCESSED"] |
|
|
| for idx, status in enumerate(status_options): |
| row = idx // 2 |
| col = idx % 2 |
| var = tk.BooleanVar(value=status in default_checked) |
| cb = tk.Checkbutton( |
| checkbox_outer_frame, |
| text=status.capitalize(), |
| variable=var, |
| command=self.build_tree, |
| anchor="w", |
| width=15, |
| padx=0 |
| ) |
| cb.grid(row=row, column=col, sticky="w") |
| self.status_filters[status] = var |
|
|
| |
| self.tree = ttk.Treeview(left_frame) |
| self.tree.heading("#0", text=f"Datasets from {host_name.upper()}") |
| self.tree.pack(fill=tk.BOTH, expand=True) |
| self.tree.bind("<<TreeviewSelect>>", self.on_tree_select) |
|
|
| |
| self.viewer_frame = tk.Frame(right_frame) |
| self.viewer_frame.pack(fill=tk.BOTH, expand=True) |
|
|
| |
| self.info_text = tk.Text(bottom_frame, height=10, wrap=tk.WORD) |
| self.info_text.pack(fill=tk.X) |
|
|
| self.build_tree() |
|
|
| def get_datasets(self, host_name): |
| status_path = os.path.join("src", host_name, "status.json") |
| datasets = {} |
|
|
| try: |
| with open(status_path, "r") as f: |
| items = json.load(f) |
|
|
| for item in items: |
| name = item["name"] |
| dataset_path = os.path.join(self.base_path, name) |
| processed_path = os.path.join(dataset_path, "processed") |
|
|
| if not os.path.exists(processed_path): |
| continue |
|
|
| file_list = [] |
| for root, _, files in os.walk(processed_path): |
| for f in files: |
| if f.endswith((".csv", ".png", ".tif", ".tiff", ".json", ".txt")): |
| full_path = os.path.join(root, f) |
| rel_path = os.path.relpath(full_path, processed_path) |
| file_list.append(rel_path) |
|
|
| datasets[name] = { |
| "name": name, |
| "title": item.get("title", ""), |
| "abstract": item.get("abstract") or "", |
| "request_needed": item.get("request_needed", False), |
| "status": item.get("status"), |
| "notes": item.get("notes"), |
| "screened_by": item.get("screened_by"), |
| "requested_downloaded_by": item.get("requested_downloaded_by"), |
| "processed_by": item.get("processed_by"), |
| "files": sorted(file_list), |
| "path": dataset_path |
| } |
| except Exception as e: |
| print(f"Error reading {status_path}: {e}") |
|
|
| return datasets |
|
|
| def build_tree(self): |
| self.tree.delete(*self.tree.get_children()) |
| selected_statuses = {k for k, v in self.status_filters.items() if v.get()} |
|
|
| for dataset_name, data in self.datasets.items(): |
| if data.get("status") not in selected_statuses: |
| continue |
|
|
| dataset_node = self.tree.insert("", "end", text=dataset_name, open=False) |
| node_map = {"": dataset_node} |
|
|
| for rel_path in data["files"]: |
| parts = rel_path.split(os.sep) |
| current = dataset_node |
| for i, part in enumerate(parts): |
| sub_path = os.path.join(*parts[:i + 1]) |
| if sub_path not in node_map: |
| node_map[sub_path] = self.tree.insert(current, "end", text=part, open=False) |
| current = node_map[sub_path] |
|
|
| def on_tree_select(self, event): |
| selected_id = self.tree.focus() |
| item = self.tree.item(selected_id) |
| text = item["text"] |
| parent_id = self.tree.parent(selected_id) |
|
|
| if parent_id == "": |
| dataset_name = text |
| data = self.datasets[dataset_name] |
| self.info_text.delete(1.0, tk.END) |
| lines = [ |
| f"Name: {data['name']}", |
| f"Title: {data['title']}", |
| ] |
| if data.get("abstract"): |
| lines.append(f"Abstract: {data['abstract']}") |
| lines.append(f"Request needed: {data['request_needed']}") |
| lines.append(f"Status: {data['status']}") |
| if data['notes'] is not None: |
| lines.append(f"Notes: {data['notes']}") |
| self.info_text.insert(tk.END, "\n".join(lines)) |
| self.clear_viewer() |
| return |
|
|
| |
| full_path_parts = [] |
| current_id = selected_id |
| while True: |
| parent = self.tree.parent(current_id) |
| if parent == "": |
| dataset_name = self.tree.item(current_id)["text"] |
| break |
| full_path_parts.insert(0, self.tree.item(current_id)["text"]) |
| current_id = parent |
|
|
| rel_file_path = os.path.join(*full_path_parts) |
| full_file_path = os.path.join(self.datasets[dataset_name]["path"], "processed", rel_file_path) |
|
|
| self.info_text.delete(1.0, tk.END) |
|
|
| if os.path.isdir(full_file_path): |
| self.info_text.insert(tk.END, f"Directory: {rel_file_path} from dataset: {dataset_name}\n") |
| self.clear_viewer() |
| else: |
| self.info_text.insert(tk.END, f"File: {rel_file_path} from dataset: {dataset_name}\n") |
| self.load_file(full_file_path) |
|
|
| def clear_viewer(self): |
| for widget in self.viewer_frame.winfo_children(): |
| widget.destroy() |
|
|
| def load_file(self, path): |
| self.clear_viewer() |
|
|
| if path.endswith(".csv"): |
| try: |
| df = pd.read_csv(path, low_memory=False) |
| self.show_csv(df) |
| self.info_text.insert(tk.END, f"Number of entries: {len(df)}\n") |
| except Exception as e: |
| self.info_text.insert(tk.END, f"Error reading CSV:\n{e}") |
|
|
| elif path.endswith(".png"): |
| try: |
| self.viewer_frame.update_idletasks() |
| frame_w = self.viewer_frame.winfo_width() |
| frame_h = self.viewer_frame.winfo_height() |
|
|
| img = Image.open(path) |
| img_w, img_h = img.size |
|
|
| ratio_w = frame_w / img_w |
| ratio_h = frame_h / img_h |
| scale = min(ratio_w, ratio_h) |
|
|
| new_w = int(img_w * scale) |
| new_h = int(img_h * scale) |
| resized = img.resize((new_w, new_h), Image.LANCZOS) |
| photo = ImageTk.PhotoImage(resized) |
|
|
| label = tk.Label(self.viewer_frame, image=photo) |
| label.image = photo |
| label.pack(expand=True) |
| self.info_text.insert(tk.END, f"Shape: {img_h}x{img_w}\n") |
| except Exception as e: |
| self.info_text.insert(tk.END, f"Error displaying PNG:\n{e}") |
|
|
| elif path.endswith(".json"): |
| try: |
| with open(path, "r") as f: |
| content = json.load(f) |
| text_widget = tk.Text(self.viewer_frame, wrap=tk.NONE) |
| text_widget.insert(tk.END, json.dumps(content, indent=2)) |
| text_widget.configure(state="disabled") |
| text_widget.pack(fill=tk.BOTH, expand=True) |
| except Exception as e: |
| self.info_text.insert(tk.END, f"Error reading JSON:\n{e}") |
|
|
| elif path.endswith(".tif"): |
| try: |
| with rasterio.open(path) as src: |
| shape = (src.height, src.width) |
| dtype = src.dtypes[0] |
| nodata = src.nodata |
| crs = src.crs |
| transform = src.transform |
|
|
| summary = [ |
| f"Shape: {shape}", |
| f"Datatype: {dtype}", |
| f"NoData value: {nodata}", |
| f"CRS: {crs}", |
| f"Transform:\n{transform}", |
| ] |
|
|
| text_widget = tk.Text(self.viewer_frame, wrap=tk.NONE) |
| text_widget.insert(tk.END, "\n".join(summary)) |
| text_widget.configure(state="disabled") |
| text_widget.pack(fill=tk.BOTH, expand=True) |
|
|
| except Exception as e: |
| self.info_text.insert(tk.END, f"Error reading TIF:\n{e}") |
|
|
| else: |
| try: |
| with open(path, "r", encoding="utf-8") as f: |
| content = f.read() |
| text_widget = tk.Text(self.viewer_frame, wrap=tk.NONE) |
| text_widget.insert(tk.END, content) |
| text_widget.configure(state="disabled") |
| text_widget.pack(fill=tk.BOTH, expand=True) |
| except Exception as e: |
| self.info_text.insert(tk.END, f"Unsupported format for quick view: {os.path.basename(path)}\n") |
|
|
| def show_csv(self, df): |
| df = df.head(100) |
| table = ttk.Treeview(self.viewer_frame, show="headings") |
| table.pack(fill=tk.BOTH, expand=True) |
|
|
| scroll_y = tk.Scrollbar(self.viewer_frame, orient="vertical", command=table.yview) |
| scroll_y.pack(side=tk.RIGHT, fill=tk.Y) |
|
|
| scroll_x = tk.Scrollbar(self.viewer_frame, orient="horizontal", command=table.xview) |
| scroll_x.pack(side=tk.BOTTOM, fill=tk.X) |
|
|
| table.configure(yscrollcommand=scroll_y.set, xscrollcommand=scroll_x.set) |
| table["columns"] = list(df.columns) |
|
|
| for col in df.columns: |
| col_values = df[col].astype(str).head(20).tolist() |
| max_len = max([len(col)] + [len(val) for val in col_values]) |
| width_px = max(80, min(400, max_len * 7)) |
| table.heading(col, text=col) |
| table.column(col, width=width_px, anchor="w", stretch=False) |
|
|
| for _, row in df.iterrows(): |
| values = [self.format_value(val) for val in row] |
| table.insert("", "end", values=values) |
|
|
| @staticmethod |
| def format_value(val): |
| if isinstance(val, float): |
| return f"{val:.6g}" |
| return str(val) |
|
|
|
|
| |
| if __name__ == "__main__": |
| host_name_ = "esdac" |
| app = DatasetTreeViewer(host_name_) |
| try: |
| icon = tk.PhotoImage(file="resources/viewer.png") |
| app.iconphoto(True, icon) |
| except Exception as ex: |
| print("Failed to load icon:", ex) |
| app.mainloop() |
|
|