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travail avec le contenu des backtests et amélioration graphs avec puces

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This commit is contained in:
Jérôme Delacotte
2025-05-08 19:22:48 +02:00
parent e3e8c691f8
commit e34897e154
3 changed files with 324 additions and 43 deletions
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27
src/app.py
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@@ -18,10 +18,10 @@ def home():
files = os.listdir(FREQTRADE_USERDATA_DIR + "/backtest_results")
# Filtre pour obtenir uniquement les fichiers (pas les dossiers)
files = [f for f in files if os.path.isfile(os.path.join(FREQTRADE_USERDATA_DIR + "/backtest_results", f))]
files = [f for f in files if os.path.isfile(os.path.join(FREQTRADE_USERDATA_DIR + "/backtest_results", f)) and f.lower().endswith('.zip')]
files2 = os.listdir(FREQTRADE_USERDATA_DIR + "/data/binance")
files2 = [f for f in files2 if os.path.isfile(os.path.join(FREQTRADE_USERDATA_DIR + "/data/binance", f))]
files2 = [f for f in files2 if os.path.isfile(os.path.join(FREQTRADE_USERDATA_DIR + "/data/binance", f)) and f.lower().endswith('.feather')]
# Retourne le template avec la liste des fichiers
return render_template('index.html', files=files, files2=files2)
@@ -63,30 +63,41 @@ def read_json(filename):
for name in z.namelist():
if name.endswith('.json'):
with z.open(name) as f:
print(f"load_json {name}")
zip_contents[name] = json.load(f)
elif name.endswith('.feather'):
with z.open(name) as f:
dataframe = pd.read_feather(f)
zip_contents[name] = dataframe.to_json(orient="records")
elif name.endswith('.pkl'):
with z.open(name) as f:
try:
data = joblib.load(f)
if isinstance(data, pd.DataFrame):
print("dataframe")
zip_contents[name] = data.to_csv() #orient='split'), 200, {'Content-Type': 'application/json'}
print(f"dataframe {name}")
zip_contents[name] = data.to_json(orient='records') #, 200, {'Content-Type': 'application/json'}
elif isinstance(data, dict):
# On suppose qu’il y a un seul modèle/clé au premier niveau
outer_key = list(data.keys())[0]
inner_dict = data[outer_key]
if isinstance(inner_dict, dict):
print(f"dict {name}")
# On suppose qu’il y a une seule paire (ex: 'BTC/USDT')
inner_key = list(inner_dict.keys())[0]
df = inner_dict[inner_key]
print(df)
if isinstance(df, pd.DataFrame):
zip_contents[name] = df.to_html() #json(orient='split'), 200, {'Content-Type': 'application/json'}
type = name
# if "signals" in name:
# type = 'signals'
# elif "exited" in name:
# type = "exited"
zip_contents[type] = df.to_json(orient='records') #, 200, {'Content-Type': 'application/json'}
elif isinstance(data, list):
print('list')
print(f"list {name}")
df = pd.DataFrame(data)
zip_contents[name] = df.to_html() #orient='split'), 200, {'Content-Type': 'application/json'}
zip_contents[name] = df.to_json(orient='records') # , 200, {'Content-Type': 'application/json'}
else:
zip_contents[name] = json.dumps({"error": f"Type {type(data)} non géré."}), 200
except Exception as e: