Mirrors/EOS
1
0
Fork 0
mirror of https://github.com/Akkudoktor-EOS/EOS.git synced 2025-11-02 07:46:20 +00:00
Code Issues Actions 1 Packages Projects Releases Wiki Activity

Json configuration (#141)

Browse Source 
* Add json config
* Adjust code to new config

---------

Co-authored-by: Chris <git@nootch.de>
This commit is contained in:
Chris
2024-11-11 21:38:13 +01:00
committed by GitHub
parent f2ecb5a33f
commit 057f86d580
21 changed files with 726 additions and 171 deletions
Download Patch File Download Diff File Expand all files Collapse all files

27
src/akkudoktoreos/visualize.py
View File

@@ -1,5 +1,4 @@
import datetime
import os
# Set the backend for matplotlib to Agg
import matplotlib
@@ -8,7 +7,7 @@ import numpy as np
from matplotlib.backends.backend_pdf import PdfPages
from akkudoktoreos.class_sommerzeit import ist_dst_wechsel
from akkudoktoreos.config import output_dir
from akkudoktoreos.config import AppConfig, SetupIncomplete
matplotlib.use("Agg")
@@ -23,22 +22,24 @@ def visualisiere_ergebnisse(
discharge, # Discharge allowed
temperature,
start_hour,
prediction_hours,
einspeiseverguetung_euro_pro_wh,
config: AppConfig,
filename="visualization_results.pdf",
extra_data=None,
):
#####################
# 24-hour visualization
#####################
if not os.path.exists(output_dir):
os.makedirs(output_dir)
output_file = os.path.join(output_dir, filename)
output_dir = config.working_dir / config.directories.output
if not output_dir.is_dir():
raise SetupIncomplete(f"Output path does not exist: {output_dir}.")
output_file = output_dir.joinpath(filename)
with PdfPages(output_file) as pdf:
# Load and PV generation
plt.figure(figsize=(14, 14))
plt.subplot(3, 3, 1)
hours = np.arange(0, prediction_hours)
hours = np.arange(0, config.eos.prediction_hours)
gesamtlast_array = np.array(gesamtlast)
# Plot individual loads
@@ -101,9 +102,9 @@ def visualisiere_ergebnisse(
plt.figure(figsize=(14, 10))
if ist_dst_wechsel(datetime.datetime.now()):
hours = np.arange(start_hour, prediction_hours - 1)
hours = np.arange(start_hour, config.eos.prediction_hours - 1)
else:
hours = np.arange(start_hour, prediction_hours)
hours = np.arange(start_hour, config.eos.prediction_hours)
# Energy flow, grid feed-in, and grid consumption
plt.subplot(3, 2, 1)
@@ -187,7 +188,7 @@ def visualisiere_ergebnisse(
# Plot for AC, DC charging, and Discharge status using bar charts
ax1 = plt.subplot(3, 2, 5)
hours = np.arange(0, prediction_hours)
hours = np.arange(0, config.eos.prediction_hours)
# Plot AC charging as bars (relative values between 0 and 1)
plt.bar(hours, ac, width=0.4, label="AC Charging (relative)", color="blue", alpha=0.6)
@@ -209,16 +210,16 @@ def visualisiere_ergebnisse(
# Configure the plot
ax1.legend(loc="upper left")
ax1.set_xlim(0, prediction_hours)
ax1.set_xlim(0, config.eos.prediction_hours)
ax1.set_xlabel("Hour")
ax1.set_ylabel("Relative Power (0-1) / Discharge (0 or 1)")
ax1.set_title("AC/DC Charging and Discharge Overview")
ax1.grid(True)
if ist_dst_wechsel(datetime.datetime.now()):
hours = np.arange(start_hour, prediction_hours - 1)
hours = np.arange(start_hour, config.eos.prediction_hours - 1)
else:
hours = np.arange(start_hour, prediction_hours)
hours = np.arange(start_hour, config.eos.prediction_hours)
pdf.savefig() # Save the current figure state to the PDF
plt.close() # Close the current figure to free up memory