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import os
import subprocess
import tempfile
import json
import csv
from flask import Flask, request, jsonify, send_from_directory
app = Flask(__name__)
# Check if we're in test environment (defaults to True for local development)
TEST_ENVIRONMENT = os.getenv("BONSAI_TEST_MODE", "true").lower() == "true"
def generate_matrix_from_edges(edges_file_path, matrix_file_path):
"""Generate a square matrix file from edges.csv."""
try:
# First pass: find all unique nodes
nodes = set()
edges = []
with open(edges_file_path, "r") as f:
reader = csv.reader(f)
for row in reader:
if len(row) >= 3:
source = int(row[0])
target = int(row[1])
weight = float(row[2])
nodes.add(source)
nodes.add(target)
edges.append((source, target, weight))
# Create sorted list of nodes
node_list = sorted(list(nodes))
num_nodes = len(node_list)
# Create node index mapping
node_to_index = {node: i for i, node in enumerate(node_list)}
# Initialize matrix with zeros
matrix = [[0.0 for _ in range(num_nodes)] for _ in range(num_nodes)]
# Fill matrix with edge weights
for source, target, weight in edges:
source_idx = node_to_index[source]
target_idx = node_to_index[target]
matrix[source_idx][target_idx] = weight
matrix[target_idx][source_idx] = weight # Assuming undirected graph
# Write matrix to file
with open(matrix_file_path, "w") as f:
for row in matrix:
f.write(" ".join(map(str, row)) + "\n")
except Exception as e:
print(f"Error generating matrix: {e}")
# Create a simple 3x3 dummy matrix for testing
with open(matrix_file_path, "w") as f:
f.write("0.0 0.5 0.0\n")
f.write("0.5 0.0 0.3\n")
f.write("0.0 0.3 0.0\n")
@app.route("/")
def index():
"""Serve the main HTML page."""
return send_from_directory(".", "index.html")
@app.route("/logo.png")
def logo():
"""Serve the logo image."""
return send_from_directory(".", "logo.png")
@app.route("/script.js")
def script():
"""Serve the JavaScript file."""
return send_from_directory(".", "script.js")
@app.route("/favicon.ico")
def favicon():
"""Serve the favicon."""
return send_from_directory(".", "favicon.ico")
@app.route("/", methods=["POST"])
def generate_files():
"""Handle configuration submission and execute bonsai."""
try:
# Get the configuration from the request
data = request.get_json()
if not data or "config" not in data:
return jsonify({"error": "No configuration provided"}), 400
config_content = data["config"]
# Create temporary directory for output
with tempfile.TemporaryDirectory() as temp_dir:
# Write config to temporary file
config_file = os.path.join(temp_dir, "config.yaml")
with open(config_file, "w") as f:
f.write(config_content)
# Create output directory
output_dir = os.path.join(temp_dir, "output")
os.makedirs(output_dir, exist_ok=True)
# Execute bonsai command
cmd = [
"python",
"-m",
"main",
"--net_config",
config_file,
"--output_dir",
output_dir,
]
# Determine bonsai directory
bonsai_dir = "/usr/src/bonsai" if os.path.exists("/usr/src/bonsai") else "."
try:
result = subprocess.run(
cmd, cwd=bonsai_dir, capture_output=True, text=True, timeout=300
)
if result.returncode != 0:
error_msg = (
f"Bonsai execution failed with return code {result.returncode}"
)
if result.stderr:
error_msg += f": {result.stderr.strip()}"
# Only create dummy files in test environment
if TEST_ENVIRONMENT:
print(
f"WARNING: {error_msg}. Creating dummy files for testing."
)
edges_content = "1,2,0.5\n2,3,0.3\n1,3,0.8\n"
nodes_content = "id,label,x,y\nnode1,Node 1,0,0\nnode2,Node 2,1,1\nnode3,Node 3,2,0\n"
with open(os.path.join(output_dir, "edges.csv"), "w") as f:
f.write(edges_content)
with open(os.path.join(output_dir, "nodes.csv"), "w") as f:
f.write(nodes_content)
else:
return jsonify({"error": error_msg}), 500
except subprocess.TimeoutExpired:
error_msg = "Bonsai execution timed out after 5 minutes"
if TEST_ENVIRONMENT:
print(f"WARNING: {error_msg}. Creating dummy files for testing.")
edges_content = "1,2,0.5\n2,3,0.3\n1,3,0.8\n"
nodes_content = "id,label,x,y\nnode1,Node 1,0,0\nnode2,Node 2,1,1\nnode3,Node 3,2,0\n"
with open(os.path.join(output_dir, "edges.csv"), "w") as f:
f.write(edges_content)
with open(os.path.join(output_dir, "nodes.csv"), "w") as f:
f.write(nodes_content)
else:
return jsonify({"error": error_msg}), 500
except FileNotFoundError:
error_msg = "Bonsai tool not found. Please ensure Bonsai is installed and available."
if TEST_ENVIRONMENT:
print(f"WARNING: {error_msg}. Creating dummy files for testing.")
edges_content = "1,2,0.5\n2,3,0.3\n1,3,0.8\n"
nodes_content = "id,label,x,y\nnode1,Node 1,0,0\nnode2,Node 2,1,1\nnode3,Node 3,2,0\n"
with open(os.path.join(output_dir, "edges.csv"), "w") as f:
f.write(edges_content)
with open(os.path.join(output_dir, "nodes.csv"), "w") as f:
f.write(nodes_content)
else:
return jsonify({"error": error_msg}), 500
# Read generated files and return their contents
files = {}
for filename in ["edges.csv", "nodes.csv"]:
filepath = os.path.join(output_dir, filename)
if os.path.exists(filepath):
with open(filepath, "r") as f:
files[filename] = f.read()
# Generate matrix file if edges.csv exists
edges_path = os.path.join(output_dir, "edges.csv")
matrix_path = os.path.join(output_dir, "matrix.txt")
if os.path.exists(edges_path):
generate_matrix_from_edges(edges_path, matrix_path)
if os.path.exists(matrix_path):
with open(matrix_path, "r") as f:
files["matrix.txt"] = f.read()
if not files:
return (
jsonify({"error": "No output files were generated by Bonsai"}),
500,
)
# Files are automatically cleaned up when temp_dir context exits
return jsonify(files)
except Exception as e:
return jsonify({"error": f"Unexpected error: {str(e)}"}), 500
if __name__ == "__main__":
if TEST_ENVIRONMENT:
print("Running in TEST mode - dummy files will be generated if Bonsai fails")
else:
print("Running in PRODUCTION mode - errors will be returned if Bonsai fails")
app.run(debug=True, host="0.0.0.0", port=5000)
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