From d0cc119bfbe20cce19d26c693b12e8dcd59856d6 Mon Sep 17 00:00:00 2001
From: Your Name <you@example.com>
Date: Wed, 1 Jan 2025 16:55:36 -0300
Subject: [PATCH] Fix plot
---
.../medicoes/script_plot_mestrado.py | 64 +++++++++++--------
1 file changed, 38 insertions(+), 26 deletions(-)
diff --git a/openairinterface5g/carlos_mestrado/medicoes/script_plot_mestrado.py b/openairinterface5g/carlos_mestrado/medicoes/script_plot_mestrado.py
index 4f8bfe76..60d89447 100644
--- a/openairinterface5g/carlos_mestrado/medicoes/script_plot_mestrado.py
+++ b/openairinterface5g/carlos_mestrado/medicoes/script_plot_mestrado.py
@@ -21,10 +21,10 @@ ue_dataframes = {}
for scenario in scenarios:
ue_dataframes[scenario] = {}
scenario_path = main_folder + scenario
- cap_confs = [name for name in os.listdir(scenario_path) if os.path.isdir(os.path.join(scenario_path, name))]
- for cap_conf in cap_confs:
- ue_dataframes[scenario][cap_conf] = {}
- cap_path = scenario_path + '/' + cap_conf
+ cap_confs_list = [name for name in os.listdir(scenario_path) if os.path.isdir(os.path.join(scenario_path, name))]
+ for cap_conf_folder in cap_confs_list:
+ ue_dataframes[scenario][cap_conf_folder] = {}
+ cap_path = scenario_path + '/' + cap_conf_folder
ues = [name for name in os.listdir(cap_path) if os.path.isdir(os.path.join(cap_path, name))]
for ue in ues:
data = []
@@ -45,7 +45,6 @@ for scenario in scenarios:
if "[ 3]" in line and "sec" in line and "MBytes" in line:
parts = line.split()
count += 1
- print(parts)
if count < 10:
data.append({
"Interval": count,
@@ -66,44 +65,57 @@ for scenario in scenarios:
})
else:
break
- ue_dataframes[scenario][cap_conf][ue] = pd.DataFrame(data)
+ ue_dataframes[scenario][cap_conf_folder][ue] = pd.DataFrame(data)
for scenario in scenarios:
+ conf_list = []
pl_ue1 = []
pl_ue2 = []
scenario_path = main_folder + scenario
- cap_confs = [name for name in os.listdir(scenario_path) if os.path.isdir(os.path.join(scenario_path, name))] ## Configuração da capacidade dos slices
- cap_confs = sorted(cap_confs, key=lambda x: (x == 'no_slicing', x))
- for cap_conf in cap_confs:
- plt.plot(ue_dataframes[scenario][cap_conf]['ue2']["Interval"], ue_dataframes[scenario][cap_conf]['ue2']["Bandwidth"], marker="o", label="UE2", color = "blue", linestyle="-")
- plt.plot(ue_dataframes[scenario][cap_conf]['ue1']["Interval"], ue_dataframes[scenario][cap_conf]['ue1']["Bandwidth"], marker="o", label="UE1", color = "red", linestyle="--")
- y_ticks = np.arange(0, max(ue_dataframes[scenario][cap_conf]['ue2']["Bandwidth"].max(),
- ue_dataframes[scenario][cap_conf]['ue1']["Bandwidth"].max()) + 10, 10) # Intervalo de 2 Mbps
- plt.yticks(y_ticks) # Define os valores do eixo Y com intervalos mais detalhados
- plt.title(scenario)
+ cap_confs_list = [name for name in os.listdir(scenario_path) if os.path.isdir(os.path.join(scenario_path, name))] ## Configuração da capacidade dos slices
+ cap_confs_list = sorted(cap_confs_list, key=lambda x: (x == 'no_slicing', x))
+ with open(os.path.join(scenario_path, "scenario_description.txt"), 'r') as file:
+ scenario_file = file.read().split("\n")
+ scenario_info = {item.split(':', 1)[0].strip(): item.split(':', 1)[1].strip() for item in scenario_file if item}
+ for cap_conf_folder in cap_confs_list:
+ cap_path = scenario_path + '/' + cap_conf_folder
+ with open(os.path.join(cap_path, "cap_conf_description.txt"), 'r') as file:
+ cap_conf_description = file.read().split("\n")
+ cap_conf_info = {item.split(':', 1)[0].strip(): item.split(':', 1)[1].strip() for item in cap_conf_description if item}
+ plt.plot(ue_dataframes[scenario][cap_conf_folder]['ue2']["Interval"], ue_dataframes[scenario][cap_conf_folder]['ue2']["Bandwidth"], marker="o", label=f"UE2 (Banda: {scenario_info['UE2_bandwidth']} Mbps)", color = "blue", linestyle="-")
+ plt.plot(ue_dataframes[scenario][cap_conf_folder]['ue1']["Interval"], ue_dataframes[scenario][cap_conf_folder]['ue1']["Bandwidth"], marker="o", label=f"UE1 (Banda: {scenario_info['UE1_bandwidth']} Mbps)", color = "red", linestyle="--")
+ y_ticks = np.arange(0, max(ue_dataframes[scenario][cap_conf_folder]['ue2']["Bandwidth"].max(),
+ ue_dataframes[scenario][cap_conf_folder]['ue1']["Bandwidth"].max()) + 10, 10) # Intervalo de 2 Mbps
+ plt.yticks(y_ticks) # Define os valores do eixo Y com intervalos mais detalhados
+ if cap_conf_info['UE1_slice'] != '-':
+ plt.title(f"Taxa Efetiva de Usuários Móveis: UE1 no Slice 1 ({cap_conf_info['UE1_slice']}% dos Recursos) e UE2 no Slice 2 ({cap_conf_info['UE2_slice']}% dos Recursos)")
+ else:
+ plt.title(f"Taxa Efetiva de Usuários sem configuração dos slices")
plt.xlabel("Tempo (s)")
- plt.ylabel("Taxa oferecida (Mbps)")
+ plt.ylabel("Taxa efetiva (Mbps)")
plt.grid(which="both", linestyle="--", linewidth=0.5, alpha=0.7) # Grelha mais sutil
plt.tight_layout() # Garante que todos os elementos estejam visÃveis
plt.legend()
+ if cap_conf_info['UE1_slice'] != '-' and cap_conf_info['UE2_slice'] != '-':
+ conf_list.append(f"Conf. {cap_conf_info['UE1_slice']}% / {cap_conf_info['UE2_slice']}%")
+ else:
+ conf_list.append(f'Conf. No slice')
plt.tight_layout()
- pl_ue1.append((ue_dataframes[scenario][cap_conf]['ue1']["PacketsLost"].sum()/ue_dataframes[scenario][cap_conf]['ue1']["TotalPackets"].sum())*100)
- pl_ue2.append((ue_dataframes[scenario][cap_conf]['ue2']["PacketsLost"].sum()/ue_dataframes[scenario][cap_conf]['ue2']["TotalPackets"].sum())*100)
+ pl_ue1.append((ue_dataframes[scenario][cap_conf_folder]['ue1']["PacketsLost"].sum()/ue_dataframes[scenario][cap_conf_folder]['ue1']["TotalPackets"].sum())*100)
+ pl_ue2.append((ue_dataframes[scenario][cap_conf_folder]['ue2']["PacketsLost"].sum()/ue_dataframes[scenario][cap_conf_folder]['ue2']["TotalPackets"].sum())*100)
plt.show()
-
# Configurar a posição das barras no eixo x
- x = np.arange(len(cap_confs)) # Posições das scenarios
+ x = np.arange(len(conf_list)) # Posições das scenarios
largura = 0.4 # Largura das barras
-
# Criar as barras
- plt.bar(x - largura / 2, pl_ue1, width=largura, label='UE1', color='red') # Barras para UE1
- plt.bar(x + largura / 2, pl_ue2, width=largura, label='UE2', color='blue') # Barras para UE2
+ plt.bar(x - largura / 2, pl_ue1, width=largura, label=f"UE1 (Banda: {scenario_info['UE1_bandwidth']} Mbps)", color='red') # Barras para UE1
+ plt.bar(x + largura / 2, pl_ue2, width=largura, label=f"UE2 (Banda: {scenario_info['UE2_bandwidth']} Mbps)", color='blue') # Barras para UE2
# Adicionar rótulos e tÃtulo
- plt.xlabel('Diferentes configurações de capacidade')
+ plt.xlabel('Diferentes configurações de capacidade (Slice 1 / Slice 2)')
plt.ylabel('Perda de pacote (%)')
- plt.title('Perda de Pacotes para Diferentes Configurações de Capacidade')
- plt.xticks(x, cap_confs) # Ajustar rótulos do eixo x
+ plt.title('Perda de Pacotes (%) para Diferentes Configurações de Capacidade')
+ plt.xticks(x, conf_list) # Ajustar rótulos do eixo x
plt.legend() # Adicionar legenda
# Exibir o gráfico
--
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