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bugfixes

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This commit is contained in:
David Brazda
2023-11-20 19:24:57 +01:00
parent 67d34481c6
commit 0addf2ae95
5 changed files with 113 additions and 52 deletions
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15
v2realbot/controller/services.py
View File

@ -336,8 +336,11 @@ def capsule(target: object, db: object, inter_batch_params: dict = None):
db.runners.remove(i)
#vytvoreni report image pro RUNNER
try:
generate_trading_report_image(runner_ids=[str(i.id)])
print("DAILY REPORT IMAGE CREATED")
res, val = generate_trading_report_image(runner_ids=[str(i.id)])
if res == 0:
print("DAILY REPORT IMAGE CREATED")
else:
print(f"Daily report ERROR - {val}")
except Exception as e:
print("Nepodarilo se vytvorit report image", str(e)+format_exc())
@ -510,8 +513,12 @@ def batch_run_manager(id: UUID, runReq: RunRequest, rundays: list[RunDay]):
#vytvoreni report image pro batch
try:
generate_trading_report_image(batch_id=batch_id)
print("BATCH REPORT IMAGE CREATED")
res, val = generate_trading_report_image(batch_id=batch_id)
if res == 0:
print("BATCH REPORT CREATED")
else:
print(f"BATCH REPORT ERROR - {val}")
except Exception as e:
print("Nepodarilo se vytvorit report image", str(e)+format_exc())

122
v2realbot/reporting/metricstoolsimage.py
View File

@ -51,9 +51,9 @@ def generate_trading_report_image(runner_ids: list = None, batch_id: str = None,
trades_dicts = sada.metrics["prescr_trades"]
for trade_dict in trades_dicts:
trade_dict['last_update'] = datetime.fromtimestamp(trade_dict.get('last_update')).astimezone(zoneNY)
trade_dict['entry_time'] = datetime.fromtimestamp(trade_dict.get('entry_time')).astimezone(zoneNY)
trade_dict['exit_time'] = datetime.fromtimestamp(trade_dict.get('exit_time')).astimezone(zoneNY)
trade_dict['last_update'] = datetime.fromtimestamp(trade_dict.get('last_update')).astimezone(zoneNY) if trade_dict['last_update'] is not None else None
trade_dict['entry_time'] = datetime.fromtimestamp(trade_dict.get('entry_time')).astimezone(zoneNY) if trade_dict['entry_time'] is not None else None
trade_dict['exit_time'] = datetime.fromtimestamp(trade_dict.get('exit_time')).astimezone(zoneNY) if trade_dict['exit_time'] is not None else None
trades.append(Trade(**trade_dict))
print(trades)
@ -61,10 +61,15 @@ def generate_trading_report_image(runner_ids: list = None, batch_id: str = None,
# Filter to only use trades with status 'CLOSED'
closed_trades = [trade for trade in trades if trade.status == TradeStatus.CLOSED]
if len(closed_trades) == 0:
return -1, "image generation no closed trades"
# Data extraction for the plots
exit_times = [trade.exit_time for trade in closed_trades if trade.exit_time is not None]
cumulative_profits = [trade.profit_sum for trade in closed_trades if trade.profit_sum is not None]
##cumulative_profits = [trade.profit_sum for trade in closed_trades if trade.profit_sum is not None]
profits = [trade.profit for trade in closed_trades if trade.profit is not None]
cumulative_profits = np.cumsum(profits)
wins = [trade.profit for trade in closed_trades if trade.profit > 0]
losses = [trade.profit for trade in closed_trades if trade.profit < 0]
@ -190,27 +195,35 @@ def generate_trading_report_image(runner_ids: list = None, batch_id: str = None,
#Cumulative profit - bud 1 den nebo vice dni
if len(runner_ids)== 1:
# Plot 3: Cumulative Profit Over Time with Max Profit Point
max_profit_time = exit_times[np.argmax(cumulative_profits)]
max_profit = max(cumulative_profits)
min_profit_time = exit_times[np.argmin(cumulative_profits)]
min_profit = min(cumulative_profits)
sns.lineplot(x=exit_times, y=cumulative_profits, label='Cumulative Profit', ax=axs[1, 3])
axs[1, 3].scatter(max_profit_time, max_profit, color='green', label='Max Profit')
axs[1, 3].scatter(min_profit_time, min_profit, color='red', label='Min Profit')
# Format dates on the x-axis
axs[1, 3].xaxis.set_major_formatter(mdates.DateFormatter('%H', tz=zoneNY))
axs[1, 3].set_title('Cumulative Profit Over Time')
axs[1, 3].legend()
if cumulative_profits:
# Plot 3: Cumulative Profit Over Time with Max Profit Point
max_profit_time = exit_times[np.argmax(cumulative_profits)]
max_profit = max(cumulative_profits)
min_profit_time = exit_times[np.argmin(cumulative_profits)]
min_profit = min(cumulative_profits)
sns.lineplot(x=exit_times, y=cumulative_profits, label='Cumulative Profit', ax=axs[1, 3])
axs[1, 3].scatter(max_profit_time, max_profit, color='green', label='Max Profit')
axs[1, 3].scatter(min_profit_time, min_profit, color='red', label='Min Profit')
# Format dates on the x-axis
axs[1, 3].xaxis.set_major_formatter(mdates.DateFormatter('%H', tz=zoneNY))
axs[1, 3].set_title('Cumulative Profit Over Time')
axs[1, 3].legend()
else:
# Handle the case where cumulative_profits is empty
axs[1, 3].text(0.5, 0.5, 'No profit data available',
horizontalalignment='center',
verticalalignment='center',
transform=axs[1, 3].transAxes)
axs[1, 3].set_title('Cumulative Profit Over Time')
else:
# Calculate cumulative profit
# Additional Plot: Cumulative Profit Over Time
# Sort trades by exit time
sorted_trades = sorted([trade for trade in trades if trade.status == TradeStatus.CLOSED],
key=lambda x: x.exit_time)
cumulative_profits = np.cumsum([trade.profit for trade in sorted_trades])
exit_times_sorted = [trade.exit_time for trade in sorted_trades]
axs[1, 3].plot(exit_times_sorted, cumulative_profits, color='blue')
cumulative_profits_sorted = np.cumsum([trade.profit for trade in sorted_trades])
exit_times_sorted = [trade.exit_time for trade in sorted_trades if trade.exit_time is not None]
axs[1, 3].plot(exit_times_sorted, cumulative_profits_sorted, color='blue')
axs[1, 3].set_title('Cumulative Profit Over Time')
axs[1, 3].set_xlabel('Time')
axs[1, 3].set_ylabel('Cumulative Profit')
@ -226,15 +239,23 @@ def generate_trading_report_image(runner_ids: list = None, batch_id: str = None,
profit = trade.profit
heatmap_data_list.append({'Day': day, 'Hour': hour, 'Profit': profit})
heatmap_data = pd.DataFrame(heatmap_data_list)
heatmap_data = heatmap_data.groupby(['Day', 'Hour']).sum().reset_index()
heatmap_pivot = heatmap_data.pivot(index='Day', columns='Hour', values='Profit')
try:
heatmap_data = pd.DataFrame(heatmap_data_list)
heatmap_data = heatmap_data.groupby(['Day', 'Hour']).sum().reset_index()
heatmap_pivot = heatmap_data.pivot(index='Day', columns='Hour', values='Profit')
# Plot 3: Heatmap of Profits
sns.heatmap(heatmap_pivot, cmap='viridis', ax=axs[1, 0])
axs[1, 0].set_title('Heatmap of Profits (based on Exit time)')
axs[1, 0].set_xlabel('Hour of Day')
axs[1, 0].set_ylabel('Day')
# Plot 3: Heatmap of Profits
sns.heatmap(heatmap_pivot, cmap='viridis', ax=axs[1, 0])
axs[1, 0].set_title('Heatmap of Profits (based on Exit time)')
axs[1, 0].set_xlabel('Hour of Day')
axs[1, 0].set_ylabel('Day')
except KeyError:
# Handle the case where there is no data
axs[1, 0].text(0.5, 0.5, 'No data available',
horizontalalignment='center',
verticalalignment='center',
transform=axs[1, 0].transAxes)
axs[1, 0].set_title('Heatmap of Profits (based on Exit time)')
# Plot 9: Profit/Loss Distribution Histogram
sns.histplot(profits, bins=30, ax=axs[1, 1], kde=True, color='skyblue')
@ -248,9 +269,17 @@ def generate_trading_report_image(runner_ids: list = None, batch_id: str = None,
if len(runner_ids) == 1:
sizes = [trade.size for trade in closed_trades if trade.size is not None]
size_counts = {size: sizes.count(size) for size in set(sizes)}
sns.barplot(x=list(size_counts.keys()), y=list(size_counts.values()), ax=axs[1, 2])
axs[1, 2].set_title('Position Size Distribution')
if sizes:
size_counts = {size: sizes.count(size) for size in set(sizes)}
sns.barplot(x=list(size_counts.keys()), y=list(size_counts.values()), ax=axs[1, 2])
axs[1, 2].set_title('Position Size Distribution')
else:
# Handle the case where there is no data
axs[1, 2].text(0.5, 0.5, 'No data available',
horizontalalignment='center',
verticalalignment='center',
transform=axs[1, 2].transAxes)
axs[1, 2].set_title('Position Size Distribution')
else:
trade_durations = []
trade_profits = []
@ -317,10 +346,18 @@ def generate_trading_report_image(runner_ids: list = None, batch_id: str = None,
sorted_hours = sorted(profits_by_hour.keys())
sorted_profits = [profits_by_hour[hour] for hour in sorted_hours]
sns.barplot(x=sorted_hours, y=sorted_profits, ax=axs[2, 1])
axs[2, 1].set_title('Profits by Hour of Day (Entry)')
axs[2, 1].set_xlabel('Hour of Day')
axs[2, 1].set_ylabel('Profit')
if sorted_profits:
sns.barplot(x=sorted_hours, y=sorted_profits, ax=axs[2, 1])
axs[2, 1].set_title('Profits by Hour of Day (Entry)')
axs[2, 1].set_xlabel('Hour of Day')
axs[2, 1].set_ylabel('Profit')
else:
# Handle the case where sorted_profits is empty
axs[2, 1].text(0.5, 0.5, 'No data available',
horizontalalignment='center',
verticalalignment='center',
transform=axs[2, 1].transAxes)
axs[2, 1].set_title('Profits by Hour of Day (Entry)')
# Plot 9: Profits Based on Hour of the Day - based on Exit
exit_hours = [trade.exit_time.hour for trade in closed_trades if trade.exit_time is not None]
@ -334,10 +371,18 @@ def generate_trading_report_image(runner_ids: list = None, batch_id: str = None,
sorted_hours = sorted(profits_by_hour.keys())
sorted_profits = [profits_by_hour[hour] for hour in sorted_hours]
sns.barplot(x=sorted_hours, y=sorted_profits, ax=axs[2, 2])
axs[2, 2].set_title('Profits by Hour of Day (Exit)')
axs[2, 2].set_xlabel('Hour of Day')
axs[2, 2].set_ylabel('Profit')
if sorted_profits:
sns.barplot(x=sorted_hours, y=sorted_profits, ax=axs[2, 2])
axs[2, 2].set_title('Profits by Hour of Day (Exit)')
axs[2, 2].set_xlabel('Hour of Day')
axs[2, 2].set_ylabel('Profit')
else:
# Handle the case where sorted_profits is empty
axs[2, 2].text(0.5, 0.5, 'No data available',
horizontalalignment='center',
verticalalignment='center',
transform=axs[2, 2].transAxes)
axs[2, 2].set_title('Profits by Hour of Day (Exit)')
# Calculate profits by day of the week
day_of_week_profits = {i: 0 for i in range(7)} # Dictionary to store profits for each day of the week
@ -365,6 +410,7 @@ def generate_trading_report_image(runner_ids: list = None, batch_id: str = None,
if stream is False:
plt.savefig(image_path)
plt.close()
return 0, None
else:
# Return the image as a BytesIO stream
img_stream = BytesIO()

11
v2realbot/static/index.html
View File

@ -279,8 +279,15 @@
</div>
</div>
</div>
<div id="imagePreview" onclick="hideImage()">
<img src="" id="previewImg" style="width: auto; height: auto;" />
<div id="imageModal" class="modal fade" style="--bs-modal-width: 591px;">
<div class="modal-dialog">
<div class="modal-content">
<button type="button" class="btn-close" data-bs-dismiss="modal" aria-label="Close"></button>
<div id="imagePreview"> <!-- onclick="hideImage()"> -->
<img src="" id="previewImg" style="width: auto; height: auto;" />
</div>
</div>
</div>
</div>
<div id="archive-table" class="flex-items">
<label data-bs-toggle="collapse" data-bs-target="#archive-table-inner">

15
v2realbot/static/js/archivetables.js
View File

@ -117,7 +117,8 @@ function display_image(imageUrl) {
img.onload = function() {
// If the image loads successfully, display it
$('#previewImg').attr('src', imageUrl);
$('#imagePreview').show();
//$('#imagePreview').show();
window.$('#imageModal').modal('show');
};
img.onerror = function() {
console.log("no image available")
@ -153,13 +154,13 @@ $(document).ready(function () {
// });
// Hide image on click anywhere in the document
$(document).on('click', function() {
$('#imagePreview').hide();
});
// $(document).on('click', function() {
// $('#imagePreview').hide();
// });
function hideImage() {
$('#imagePreview').hide();
}
// function hideImage() {
// $('#imagePreview').hide();
// }
// $('#archiveTable tbody').on('mousemove', 'td:nth-child(2)', function(e) {
// $('#imagePreview').css({'top': e.pageY + 10, 'left': e.pageX + 10});
// });

2
v2realbot/static/main.css
View File

@ -165,7 +165,7 @@ table.dataTable thead>tr>th.sorting_asc:before, table.dataTable thead>tr>th.sort
}
#imagePreview {
display: none;
/* display: none; */
position: fixed;
z-index: 100;
left: 50%;