56 lines
1.9 KiB
Python
56 lines
1.9 KiB
Python
import requests
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import time
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from schemas.paramer import SimulationRequestUnit, SimulationResponseUnit, UuidResponseUnit
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import skrf as rf
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from typing import Literal
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import matplotlib.pyplot as plt
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def send_get_request(url):
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try:
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response = requests.get(url)
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response.raise_for_status() # Raise an error for bad responses
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return response.json()
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except requests.exceptions.RequestException as e:
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print(f"An error occurred: {e}")
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return None
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def get_network(file_path: str) -> rf.Network:
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network = rf.Network(file_path)
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return network
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def get_rms_error(vf: rf.VectorFitting,parameter_type:Literal['s','y','z']):
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rms_error = []
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for i in range(vf.network.nports):
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rms_error_row = []
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for j in range(vf.network.nports):
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rms_error = vf.get_rms_error(i, j, parameter_type)
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rms_error_row.append(rms_error)
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rms_error.append(rms_error_row)
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return rms_error
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def show_rms_error(vf: rf.VectorFitting,parameter_type:Literal['s','y','z'],show_plot:bool=True,save_path:str|None=None):
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freqs = vf.network.f
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nports = vf.network.nports
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fig, ax = plt.subplots(nports, nports)
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fig.set_size_inches(6*nports, 4*nports)
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for i in range(nports):
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for j in range(nports):
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vf.plot("mag",0,1,freqs,ax=ax[i][j],parameter=parameter_type)
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fig.tight_layout()
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if show_plot:
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plt.show()
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if save_path:
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plt.savefig(save_path)
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def remove_simulation_with_high_rms_error(simulations:list[rf.VectorFitting],limit:float=0.015,parameter_type:Literal['s','y','z']='s'):
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nports = simulations[0].network.nports
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index_of_filtered_simulations = []
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for res in simulations:
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for i in range(nports):
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for j in range(nports):
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rms_error = res.get_rms_error(i, j, parameter_type)
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if rms_error > limit:
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index_of_filtered_simulations.append(i*nports+j)
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break
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