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import json
import subprocess
import tempfile
from modules.chart_engine.utils.file_utils import create_temp_file, create_temp_dir, cleanup_temp_file, cleanup_temp_dir
from modules.chart_engine.utils.html_to_svg import html_to_svg
import importlib
import logging
logger = logging.getLogger(__name__)
def _save_to_file(content, output_file=None, prefix="", suffix=".html"):
"""
Helper function to save content to a file, creating a temporary file if needed
Args:
content: Content to write to the file
output_file: Path to save the file (optional)
prefix: Prefix for temp filename
suffix: Suffix for temp filename
Returns:
Path to the created file
"""
if output_file is None:
prefix = f"{prefix}_"
output_file = create_temp_file(prefix=prefix, suffix=suffix, content=content)
else:
with open(output_file, 'w', encoding='utf-8') as f:
f.write(content)
f.close()
return output_file
def _get_dimensions(options, default_width=1200, default_height=800):
"""
Helper function to extract width and height from options
Args:
options: Chart options
default_width: Default width if not specified in options
default_height: Default height if not specified in options
Returns:
Tuple of (width, height)
"""
if not isinstance(options, dict) or "variables" not in options:
return default_width, default_height
width = options["variables"].get("width", default_width)
height = options["variables"].get("height", default_height)
return width, height
def _load_js_code(js_file, base_dirs=None):
"""
Helper function to load JavaScript code from a file
Args:
js_file: Path to the JavaScript file (optional)
base_dirs: List of base directories to search for JavaScript files
Returns:
String containing the JavaScript code
"""
# If js_file is provided and exists, use it
if js_file and os.path.exists(js_file):
with open(js_file, 'r', encoding='utf-8') as f:
return f.read()
raise ValueError(f"No JavaScript file found for chart path: {js_file}. Please provide a valid JS file.")
CHART_UTILS_FILES = [
"core.js",
"schema.js",
"format.js",
"color.js",
"text.js",
"legend.js",
"random.js",
"index.js",
"compat.js",
]
def _load_chart_utils_code():
"""Load the D3 chartUtils library from split source files.
Falls back to the bundled utils.js so older checkouts and partial edits still
render D3 templates.
"""
lib_dir = os.path.abspath(os.path.join(os.path.dirname(os.path.dirname(__file__)), 'static', 'lib'))
chart_utils_dir = os.path.join(lib_dir, 'chart_utils')
if os.path.isdir(chart_utils_dir):
paths = [os.path.join(chart_utils_dir, file_name) for file_name in CHART_UTILS_FILES]
if all(os.path.exists(path) for path in paths):
return "\n\n".join(_load_js_code(path).rstrip() for path in paths) + "\n"
utils_lib_path = os.path.join(lib_dir, 'utils.js')
return _load_js_code(utils_lib_path)
def load_js_echarts(json_data=None, output_file=None, js_file=None, width=None, height=None):
"""
Generate an ECharts chart using JavaScript.
This function directly generates an HTML file with the JavaScript code.
Args:
json_data: Dict containing the JSON data for the chart
output_file: Path to save the HTML output file (optional, will create a temp file if None)
js_file: Path to the JavaScript file containing the make_option function
Returns:
Path to the generated HTML file
"""
if json_data is None:
raise ValueError("JSON data must be provided")
# Default HTML template
html_template = """
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<title>ECharts Chart</title>
<script src="%s"></script>
<style>
#chart-container {
width: %dpx;
height: %dpx;
}
</style>
</head>
<body>
<div id="chart-container"></div>
<script>
// 立即初始化图表，使用SVG渲染器并禁用所有动画
var chart = echarts.init(document.getElementById('chart-container'), null, {
renderer: 'svg',
animation: false,
useUTC: true
});
// 禁用全局动画
echarts.disableAllAnimation = true;
// 准备数据
const jsonData = JSON_DATA_PLACEHOLDER;
JS_CODE_PLACEHOLDER
// 创建图表选项
let option;
try {
option = make_option(jsonData);
// 禁用所有动画
option.animation = false;
option.animationDuration = 0;
option.animationDurationUpdate = 0;
option.animationDelay = 0;
option.animationDelayUpdate = 0;
} catch (e) {
console.error("Error creating chart:", e);
option = {
title: { text: "Error: " + e.message, left: 'center' }
};
}
// 立即设置选项并渲染
chart.setOption(option);
// 导出SVG的优化函数
function exportSvg() {
try {
chart.setOption(option, {notMerge: true});
const svgContent = chart.renderToSVGString();
if (svgContent && svgContent.length > 0) {
const svgContainer = document.createElement('div');
svgContainer.id = 'svg-output';
svgContainer.style.display = 'none';
svgContainer.innerHTML = svgContent;
document.body.appendChild(svgContainer);
}
} catch (e) {
console.error("Error exporting SVG:", e);
}
}
// 立即尝试导出
exportSvg();
// 设置备用导出计时器，500ms后再尝试一次
setTimeout(exportSvg, 500);
</script>
</body>
</html>
"""
# 获取本地库文件的绝对路径
echarts_lib_path = os.path.abspath(os.path.join(os.path.dirname(os.path.dirname(__file__)), 'static', 'lib', 'echarts.min.js'))
# 使用文件协议的URL (用于SVG渲染)
echarts_lib_url = f"file://{echarts_lib_path}"
# Load JavaScript code
if js_file:
js_code = _load_js_code(js_file)
else:
js_code = f"""
function make_option(jsonData) {{
return JSON.parse(jsonData);
}}
"""
# Create HTML content
formatted_html = html_template % (echarts_lib_url, width, height)
formatted_html = formatted_html.replace('JSON_DATA_PLACEHOLDER', json.dumps(json_data))
formatted_html = formatted_html.replace('JS_CODE_PLACEHOLDER', js_code)
# Save the HTML to a file
output_file = _save_to_file(formatted_html, output_file)
# 简化日志输出
return output_file
def load_d3js(json_data=None, output_file=None, js_file=None, width=None, height=None):
"""
Generate a D3.js chart using JavaScript.
This function generates an HTML file with the D3.js code.
Args:
json_data: Dict containing the JSON data for the chart
output_file: Path to save the HTML output file (optional, will create a temp file if None)
js_file: Path to the JavaScript file containing the D3.js implementation
Returns:
Path to the generated HTML file
"""
if json_data is None:
raise ValueError("JSON data must be provided")
# Default HTML template for D3.js - use %% to escape % characters
html_template = """
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<title>D3.js Chart</title>
%s
<style>
body {
font-family: Arial, sans-serif;
margin: 20px;
}
#chart-container {
width: 100%%;
max-width: %dpx;
height: %dpx;
margin: 0 auto;
background-color: white;
border-radius: 8px;
overflow: hidden;
}
</style>
</head>
<body>
<div id="chart-container"></div>
<script>
// 准备数据
const json_data = JSON_DATA_PLACEHOLDER;
// 导入utils.js
UTILS_LIB_PLACEHOLDER
// D3.js实现
JS_CODE_PLACEHOLDER
// 文档就绪时立即创建图表
makeChart('#chart-container', json_data);
// 500ms后检查SVG是否已生成
setTimeout(function() {
const svg = document.querySelector('#chart-container svg');
if (svg) {
// 创建一个包含SVG内容的容器供提取使用
const svgContainer = document.createElement('div');
svgContainer.id = 'svg-output';
svgContainer.style.display = 'none';
svgContainer.innerHTML = svg.outerHTML;
document.body.appendChild(svgContainer);
}
}, 500);
</script>
</body>
</html>
"""
# 获取D3.js库文件的绝对路径
d3_lib_path = os.path.abspath(os.path.join(os.path.dirname(os.path.dirname(__file__)), 'static', 'lib', 'd3.min.js'))
d3_voronoi_lib_path = os.path.abspath(os.path.join(os.path.dirname(os.path.dirname(__file__)), 'static', 'lib', 'd3-voronoi-map.min.js'))
d3_weighted_voronoi_lib_path = os.path.abspath(os.path.join(os.path.dirname(os.path.dirname(__file__)), 'static', 'lib', 'd3-weighted-voronoi.min.js'))
d3_sankey_lib_path = os.path.abspath(os.path.join(os.path.dirname(os.path.dirname(__file__)), 'static', 'lib', 'd3-sankey.min.js'))
d3_rough_lib_path = os.path.abspath(os.path.join(os.path.dirname(os.path.dirname(__file__)), 'static', 'lib', 'svg2roughjs.umd.min.js'))
# 使用文件协议的URL (用于SVG渲染)
d3_lib_url = f"file://{d3_lib_path}"
d3_voronoi_lib_url = f"file://{d3_voronoi_lib_path}"
d3_weighted_voronoi_lib_url = f"file://{d3_weighted_voronoi_lib_path}"
d3_sankey_lib_url = f"file://{d3_sankey_lib_path}"
d3_rough_lib_url = f"file://{d3_rough_lib_path}"
lib_urls = [d3_lib_url, d3_voronoi_lib_url, d3_weighted_voronoi_lib_url, d3_sankey_lib_url, d3_rough_lib_url]
lib_urls_str = "\n".join([f"<script src='{url}'></script>" for url in lib_urls])
utils_code = _load_chart_utils_code()
js_code = _load_js_code(js_file)
# Create HTML content
formatted_html = html_template % (lib_urls_str, width, height)
formatted_html = formatted_html.replace('JSON_DATA_PLACEHOLDER', json.dumps(json_data))
formatted_html = formatted_html.replace('JS_CODE_PLACEHOLDER', js_code)
formatted_html = formatted_html.replace('UTILS_LIB_PLACEHOLDER', utils_code)
# Save the HTML to a file
output_file = _save_to_file(formatted_html, output_file, prefix="_d3")
# 简化日志输出
return output_file
def load_py_echarts(json_data=None):
"""
Process ECharts options for SVG conversion
Args:
json_data (dict): 包含图表数据和配置的JSON数据
Returns:
Dict containing the processed JSON data
"""
if not json_data:
raise ValueError("JSON data must be provided")
# 不需要特殊处理，直接返回处理好的选项数据
return json_data
def _normalize_unit_sentinels(json_data):
"""
ChartPipeline 数据约定里 column.unit 字段使用字符串 "none" / Python None
表示"无单位"，但各个 d3 模板对该 sentinel 的处理并不一致：部分模板正确
判断 ``unit !== "none"``，部分仅做 ``unit || ""`` 兜底，导致后者把字符串
"none" 当作真单位画到 axis label 上 (例: vertical_bar_chart_new_02 的
Y 轴显示 "none")。
在 framework 渲染前统一把这些 sentinel 归一化为 "" — 这样不需要逐个修
20+ 个旧模板，新增模板也不会再踩到同一坑。
"""
SENTINELS = {"none", "null", "nan", "undefined", "n/a", "na"}
try:
cols = (json_data.get("data") or {}).get("columns")
if isinstance(cols, list):
for c in cols:
if not isinstance(c, dict):
continue
u = c.get("unit")
if u is None:
c["unit"] = ""
elif isinstance(u, str) and u.strip().lower() in SENTINELS:
c["unit"] = ""
except Exception:
pass
return json_data
def render_chart_to_svg(json_data, output_svg_path, \
js_file=None, width=None, height=None, \
framework="echarts", framework_type='js', html_output_path=None):
"""
通用的图表渲染函数，支持多种图表框架
Args:
json_data (dict): 完整的JSON数据，包含图表数据和配置信息
output_svg_path (str): SVG文件保存路径
js_file (str, optional): JavaScript文件路径
width (int, optional): 图表宽度(像素)
height (int, optional): 图表高度(像素)
framework (str): 使用的图表框架，可选"echarts"或"d3"
html_output_path (str, optional): 保存中间HTML文件的路径
Returns:
Path to the generated SVG file
"""
if width is None or height is None:
w, h = _get_dimensions(json_data)
width = width or w
height = height or h
json_data = _normalize_unit_sentinels(json_data)
if framework.lower() == "vegalite":
# Use vegalite_py template
template = js_file
template_root = "modules.chart_engine.template.vegalite_py"
general_chart_type = template.split('/')[-2]
module_name = template.split('/')[-1].split('.')[0]
# print("template_root: ", template_root)
# print("general_chart_type: ", general_chart_type)
# print("module_name: ", module_name)
module_path = f"{template_root}.{general_chart_type}.{module_name}"
# print(f"module_path: {module_path}")
module = importlib.import_module(module_path)
chart_words = module_name.split('_')
chart_words = [word.capitalize() for word in chart_words]
chart_type = ''.join(chart_words)
template_class = getattr(module, chart_type)
template_object = template_class(json_data)
vega_spec = template_object.make_specification(json_data)
vega_spec_file = create_temp_file(prefix="vega_spec_", suffix=".json",
content=json.dumps(vega_spec, indent=2))
# try:
svg_file, svg_content = template_object.specification_to_svg(vega_spec, output_svg_path)
if svg_file is None:
raise ValueError("SVG chart generation failed (returned None)")
element_tree = template_object.svg_to_element_tree(svg_content)
template_object.apply_variation(json_data)
svg_file = output_svg_path
svg_content = template_object.element_tree_to_svg(template_object.elements_tree)
with open(output_svg_path, 'w', encoding='utf-8') as f:
f.write(svg_content)
logger.info(f"VegaLite SVG chart generated successfully")
return output_svg_path
# except Exception as e:
# print(f"Error: {e}")
# return None
# 为引擎创建临时目录，用于生成HTML文件
temp_dir = create_temp_dir(prefix=f"{framework}_svg_")
html_file = os.path.join(temp_dir, 'chart.html')
try:
# 根据框架类型生成HTML文件
if framework.lower() == "echarts" and framework_type == 'js':
load_js_echarts(json_data=json_data, output_file=html_file, js_file=js_file, width=width, height=height)
elif framework.lower() == "echarts" and framework_type == 'py':
template = js_file
options = template.make_options(json_data)
option_data = json.dumps(options)
load_js_echarts(json_data=option_data, output_file=html_file, width=width, height=height)
elif framework.lower() == "d3":
load_d3js(json_data=json_data, output_file=html_file, js_file=js_file, width=width, height=height)
else:
raise ValueError(f"Unsupported framework: {framework}")
if html_output_path and os.path.exists(html_file):
import shutil
import re
with open(html_file, 'r', encoding='utf-8') as f:
html_content = f.read()
if framework.lower().startswith('echarts'):
lib_file = 'echarts.min.js'
file_pattern = r'file://.*?/' + lib_file
cdn_url = "https://cdn.jsdelivr.net/npm/echarts@5/dist/echarts.min.js"
html_content = re.sub(file_pattern, cdn_url, html_content)
else: # D3.js
# For D3.js, we need to replace three different URLs
# Replace d3.min.js
d3_file_pattern = r'file://.*?/d3\.min\.js'
cdn_url = "https://cdn.jsdelivr.net/npm/d3@7/dist/d3.min.js"
html_content = re.sub(d3_file_pattern, cdn_url, html_content)
# Replace d3-voronoi-map.min.js
voronoi_file_pattern = r'file://.*?/d3-voronoi-map\.min\.js'
cdn_url_voronoi = "https://cdn.jsdelivr.net/npm/d3-voronoi-map@2.1.1/build/d3-voronoi-map.min.js"
html_content = re.sub(voronoi_file_pattern, cdn_url_voronoi, html_content)
# Replace d3-weighted-voronoi.min.js
weighted_voronoi_file_pattern = r'file://.*?/d3-weighted-voronoi\.min\.js'
cdn_url_weighted_voronoi = "https://cdn.jsdelivr.net/npm/d3-weighted-voronoi@1.1.3/build/d3-weighted-voronoi.min.js"
html_content = re.sub(weighted_voronoi_file_pattern, cdn_url_weighted_voronoi, html_content)
# Replace d3-sankey.min.js
sankey_file_pattern = r'file://.*?/d3-sankey\.min\.js'
cdn_url_sankey = "https://cdn.jsdelivr.net/npm/d3-sankey@0.12.3/dist/d3-sankey.min.js"
html_content = re.sub(sankey_file_pattern, cdn_url_sankey, html_content)
# Replace svg2roughjs.umd.min.js
rough_file_pattern = r'file://.*?/svg2roughjs\.umd\.min\.js'
cdn_url_rough = "https://unpkg.com/svg2roughjs@3.2.1/dist/svg2roughjs.umd.min.js"
html_content = re.sub(rough_file_pattern, cdn_url_rough, html_content)
with open(html_output_path, 'w', encoding='utf-8') as f:
f.write(html_content)
print(f"Saved intermediate HTML file to: {html_output_path}")
# 使用html_to_svg转换为SVG
svg_file = html_to_svg(html_file, output_svg_path, width=width, height=height)
if svg_file is not None and os.path.exists(svg_file):
# 简化日志输出，只返回路径，不打印
return svg_file
else:
raise Exception(f"Failed to create SVG file from {framework.upper()} HTML")
except Exception as e:
print(f"Error load charts: {e}")
return None
finally:
if os.path.exists(temp_dir):
cleanup_temp_dir(temp_dir)
# 保持向后兼容的函数
def render_d3js_chart_to_svg(json_data, output_svg_path, js_file=None, width=None, height=None, html_output_path=None):
"""
渲染D3.js图表为SVG (向后兼容函数)
Args:
json_data (dict): 图表数据和选项
output_svg_path (str): SVG文件保存路径
js_file (str): D3.js实现文件的路径
width (int, optional): 图表宽度(像素)
height (int, optional): 图表高度(像素)
html_output_path (str, optional): 保存中间HTML文件的路径
Returns:
Path to the generated SVG file
"""
# 调用统一的渲染函数
return render_chart_to_svg(
json_data=json_data,
output_svg_path=output_svg_path,
js_file=js_file,
width=width,
height=height,
framework="d3",
html_output_path=html_output_path
)
def render_vegalite_specification_to_svg(vegalite_specification, output_svg_path):
import subprocess
import json
import os
import random
class NodeBridge:
@staticmethod
def execute_node_script(script_path: str, data: dict) -> str:
# 生成一个随机种子
random.seed(random.randint(0, 1000000))
# 将数据写入临时JSON文件
tmp_input = f'temp_input_{random.randint(0, 1000000)}.json'
with open(tmp_input, 'w', encoding='utf-8') as f:
json.dump(data, f)
# 执行Node.js脚本
result = subprocess.run([
'node', script_path, tmp_input
], capture_output=True, encoding='utf-8')
# 清理临时文件
os.remove(tmp_input)
if result.returncode != 0:
raise Exception(f"Node.js执行错误: {result.stderr}")
return result.stdout
script_path = os.path.join(os.path.dirname(os.path.dirname(__file__)), 'template', 'vegalite_py', 'vega_spec.js')
result = NodeBridge.execute_node_script(script_path, {
"spec": vegalite_specification,
})
# 把result写入output_svg_path
with open(output_svg_path, 'w', encoding='utf-8') as f:
f.write(result)
return output_svg_path
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