134 lines
4.1 KiB
Python
134 lines
4.1 KiB
Python
from io import BytesIO
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import pandas as pd
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from quart import Blueprint, request, send_file
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from matplotlib import pyplot as plt
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from CONSTANT import DATA_BASEPATH
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from modules.cosmic.gravityw_multiday import GravityMultidayPlot
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from modules.cosmic.gravityw_perday import CosmicGravitywPlot
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from modules.cosmic.planetw_daily import cosmic_planetw_daily_plot
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from quart.utils import run_sync
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from modules.cosmic.planetw_daily_process import cosmic_planet_daily_process
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from modules.cosmic.planetw_perday import cosmic_planetw_plot_perday
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cosmic_module = Blueprint("Cosmic", __name__)
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@cosmic_module.route('/metadata')
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def get_meta():
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return []
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@cosmic_module.route('/render/planet_wave/daily')
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@cosmic_module.route('/temp_render')
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async def render():
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year = request.args.get("year", 2008)
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T = request.args.get("T", 16)
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k = request.args.get("k", 1)
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target_h = request.args.get("target_h", 40)
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target_latitude = request.args.get("target_lat", 30)
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# path: str = f"{DATA_BASEPATH.cosmic}/cosmic.txt"
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temp_df = await run_sync(cosmic_planet_daily_process)(
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year=int(year),
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target_h=int(target_h),
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target_latitude=int(target_latitude)
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)
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await run_sync(cosmic_planetw_daily_plot)(
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temp_df,
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T=int(T),
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k=int(k)
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)
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buf = BytesIO()
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plt.savefig(buf, format="png")
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buf.seek(0)
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return await send_file(buf, mimetype="image/png")
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@cosmic_module.route('/render/planet_wave/perday')
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async def render_by_mode_single():
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year = request.args.get("year", 2008)
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T = request.args.get("T", 16)
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target_h = request.args.get("target_h", 40)
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target_latitude = request.args.get("target_lat", 30)
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# path: str = f"{DATA_BASEPATH.cosmic}/cosmic.txt"
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temp_df = await run_sync(cosmic_planet_daily_process)(
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year=int(year),
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target_h=int(target_h),
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target_latitude=int(target_latitude)
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)
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await run_sync(cosmic_planetw_plot_perday)(
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temp_df,
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T=int(T),
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)
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buf = BytesIO()
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plt.savefig(buf, format="png")
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buf.seek(0)
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return await send_file(buf, mimetype="image/png")
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@cosmic_module.route('/render/gravity_wave/perday')
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@cosmic_module.route('/render/single')
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async def single_render():
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year = request.args.get("year", 2008)
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day = request.args.get("day", 1)
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mode = request.args.get("mode", "mean_ktemp_Nz")
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lat_range = request.args.get("lat_range", "30.0 ~ 40.0")
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lat_range = tuple(map(float, lat_range.split("~")))
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p: CosmicGravitywPlot = await run_sync(CosmicGravitywPlot)(
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year=int(year), day=int(day), lat_range=lat_range)
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if mode == "mean_ktemp_Nz":
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await run_sync(p.plot_results_mean_ktemp_Nz)()
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elif mode == "mean_ktemp_Ptz":
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await run_sync(p.plot_results_mean_ktemp_Ptz)()
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else:
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raise ValueError("Invalid mode")
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buf = BytesIO()
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plt.savefig(buf, format="png")
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buf.seek(0)
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return await send_file(buf, mimetype="image/png")
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@cosmic_module.route("/render/gravity_wave/multiday")
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async def multiday_render():
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year = request.args.get("year", 2008)
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start_day = request.args.get("start_day", 1)
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end_day = request.args.get("end_day", 204)
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mode = request.args.get("mode", "位温分布")
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lat_range = request.args.get("lat_range", "30.0 ~ 40.0")
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lat_range = tuple(map(float, lat_range.split("~")))
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p: GravityMultidayPlot = await run_sync(GravityMultidayPlot)(
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year=int(year),
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day_range=(start_day, end_day),
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lat_range=lat_range
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)
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if mode == "浮力频率均值":
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await run_sync(p.plot_heatmap_tempNz)()
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elif mode == "不同高度下的逐日统计分析":
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await run_sync(p.plot_heatmap_tempPtz)()
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elif mode == "每月浮力频率变化趋势":
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await run_sync(p.plot_floatage_trend)()
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elif mode == "每月平均重力势能的折线图":
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await run_sync(p.plot_monthly_energy)()
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elif mode == "每月平均N^2的折线图":
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await run_sync(p.plot_monthly_tempNz)()
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else:
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raise ValueError("Invalid mode")
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buf = BytesIO()
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plt.savefig(buf, format="png")
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buf.seek(0)
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return await send_file(buf, mimetype="image/png")
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