lucas-mega / viewer.py
Kuangdai
Initial release of LUCAS-MEGA
9bc98d9
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)
# === Layout ===
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 grid above Treeview (2x2 layout)
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, # fixed width for alignment
padx=0
)
cb.grid(row=row, column=col, sticky="w")
self.status_filters[status] = var
# === Treeview
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)
# === Viewer frame
self.viewer_frame = tk.Frame(right_frame)
self.viewer_frame.pack(fill=tk.BOTH, expand=True)
# === Bottom info
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
# Traverse upward to get dataset name
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)
# === Run Viewer ===
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()