195 lines
5.1 KiB
Python
195 lines
5.1 KiB
Python
import os
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import base64
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import matplotlib.pyplot as plt
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from pathlib import Path
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from io import BytesIO
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from datetime import datetime,date
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def load_template(template_name):
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"""
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从模板文件加载模板内容
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Args:
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template_name: 模板文件名（不带路径）
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Returns:
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str: 模板内容
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"""
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# 获取模板文件路径
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plugin_dir = Path(__file__).parent.parent
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template_path = plugin_dir / "templates" / template_name
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# 检查文件是否存在
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if not template_path.exists():
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raise FileNotFoundError(f"模板文件不存在: {template_path}")
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# 读取模板内容
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with open(template_path, 'r', encoding='utf-8') as f:
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return f.read()
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def flatten_field(data_list, field_name):
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"""
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提取并扁平化指定字段的值
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从一个字典列表中，收集指定字段的所有值。
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如果字段的值是列表，则会被展开（扁平化）加入结果；
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如果字段的值是单个元素，则直接加入结果。
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Args:
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data_list (list[dict]): 数据列表，每个元素是字典
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field_name (str): 要提取的字段名
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Returns:
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list: 扁平化后的字段值列表
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"""
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extracted_data = []
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for item in data_list:
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if field_name in item and item[field_name]:
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# 如果是 list，展开
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if isinstance(item[field_name], list):
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extracted_data.extend(item[field_name])
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else:
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extracted_data.append(item[field_name])
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return extracted_data
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def extract_fields(data_list, fields):
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"""
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从字典列表中提取多个字段
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Args:
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data_list (list[dict]): 包含字典的列表
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fields (list[str]): 要提取的字段名列表
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Returns:
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list[dict]: 只包含指定字段的新字典列表
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"""
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result = []
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try:
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for item in data_list:
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extracted = {field: item.get(field) for field in fields}
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result.append(extracted)
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except Exception as e:
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print(f"提取字段时出错: {e}")
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return []
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return result
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def extract_field(data_list, field_name):
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"""
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从列表中的字典提取指定字段的所有值
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Args:
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data_list (list): 数据列表，每个元素是 dict
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field_name (str): 要提取的字段名
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Returns:
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list: 提取出来的字段值列表
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"""
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return [item[field_name] for item in data_list if field_name in item]
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def gold_to_string(gold_amount):
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"""
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将金钱数值转换为字符串表示形式
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Args:
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gold_amount (int): 金钱数值，单位为铜币
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Returns:
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str: 格式化后的金钱字符串，例如 "1金2银3铜"
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"""
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if not gold_amount:
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return "无价格"
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parts = []
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started = False # 标记是否已经遇到第一个非零位
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bricks = gold_amount // 100000000
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gold = (gold_amount % 100000000) // 10000
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silver = (gold_amount % 10000) // 100
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copper = gold_amount % 100
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for value, unit in [(bricks, "砖"), (gold, "金"), (silver, "银"), (copper, "铜")]:
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if value != 0:
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started = True
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if started:
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parts.append(f"{value}{unit}")
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return "".join(parts)
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def plot_line_chart_base64(data, x_field, y_field, title=None, reverse_x=False):
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"""
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根据列表数据绘制折线图，返回 base64 图片字符串。
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:param data: list[dict] 数据列表
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:param x_field: str X轴字段
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:param y_field: str Y轴字段
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:param title: str 图表标题（可选）
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:param reverse_x: bool 是否反转 X 轴方向（默认 False：从左往右；True：从右往左）
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:return: str base64 图片字符串，可直接放到 <img src="..."> 中
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"""
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if not data:
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raise ValueError("数据列表不能为空")
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# 字体设置（支持中文）
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plt.rcParams['font.sans-serif'] = ['SimHei']
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plt.rcParams['axes.unicode_minus'] = False
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# 提取 X / Y 数据
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x_values = [str(item.get(x_field, "")) for item in data]
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y_values = [float(item.get(y_field, 0)) for item in data]
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# 创建画布
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plt.figure(figsize=(8, 5))
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plt.plot(x_values, y_values, marker='o', color='#4a90e2', linewidth=2)
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# 反转 X 轴
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if reverse_x:
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plt.gca().invert_xaxis()
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# 标题与标签
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if title is None:
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title = f"{y_field} 折线图"
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plt.grid(True, linestyle='--', alpha=0.5)
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plt.xticks(rotation=30)
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plt.tight_layout()
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# 转 Base64
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buffer = BytesIO()
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plt.savefig(buffer, format='png', dpi=150)
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plt.close()
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img_base64 = base64.b64encode(buffer.getvalue()).decode('utf-8')
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return f"data:image/png;base64,{img_base64}"
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def week_to_num(week :str):
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week_map = {
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"一": 0,
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"二": 1,
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"三": 2,
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"四": 3,
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"五": 4,
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"六": 5,
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"日": 6,
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}
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return week_map.get(week,None)
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def compare_date_str(date_str: str) -> str:
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"""
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date_str 格式：YYYY-MM-DD
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"""
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d = datetime.strptime(date_str, "%Y-%m-%d").date()
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today = date.today()
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if d < today:
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return "过去"
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elif d == today:
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return "今天"
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else:
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return "将来" |