createbatch image tool + send to telefram enrichment

testy/createbatchimage.py

@@ -0,0 +1,18 @@
+import argparse
+import v2realbot.reporting.metricstoolsimage as mt
+
+# Parse the command-line arguments
+# parser = argparse.ArgumentParser(description="Generate trading report image with batch ID")
+# parser.add_argument("batch_id", type=str, help="The batch ID for the report")
+# args = parser.parse_args()
+
+# batch_id = args.batch_id
+
+# Generate the report image
+res, val = mt.generate_trading_report_image(batch_id="4d7dc163")
+
+# Print the result
+if res == 0:
+    print("BATCH REPORT CREATED")
+else:
+    print(f"BATCH REPORT ERROR - {val}")

v2realbot/controller/services.py

@@ -24,7 +24,6 @@ from tinydb import TinyDB, Query, where
 from tinydb.operations import set
 import orjson
 import numpy as np
-from numpy import ndarray
 from rich import print
 import pandas as pd
 from traceback import format_exc
@@ -37,10 +36,10 @@ from v2realbot.strategyblocks.inits.init_indicators import initialize_dynamic_in
 from v2realbot.strategyblocks.indicators.indicators_hub import populate_dynamic_indicators
 from v2realbot.interfaces.backtest_interface import BacktestInterface
 import os
-from v2realbot.reporting.metricstoolsimage import generate_trading_report_image
+import v2realbot.reporting.metricstoolsimage as mt
-import msgpack
 import gzip
 import os
+import msgpack
 #import gc
 #from pyinstrument import Profiler
 #adding lock to ensure thread safety of TinyDB (in future will be migrated to proper db)
@@ -349,13 +348,15 @@ def capsule(target: object, db: object, inter_batch_params: dict = None):
                 db.runners.remove(i)
                 #vytvoreni report image pro RUNNER
                 try:
-                    res, val = generate_trading_report_image(runner_ids=[str(i.id)])
+                    res, val = mt.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())       
+                    err_msg = "Nepodarilo se vytvorit daily report image" + str(e)+format_exc()
+                    send_to_telegram(err_msg)
+                    print(err_msg)     
         target.release()
     print("Runner STOPPED")
 
@@ -567,14 +568,16 @@ def batch_run_manager(id: UUID, runReq: RunRequest, rundays: list[RunDay]):
     runReq = None
     #vytvoreni report image pro batch
     try:
-        res, val = generate_trading_report_image(batch_id=batch_id)
+        res, val = mt.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())       
+        err_msg = "Nepodarilo se vytvorit batch report image" + str(e)+format_exc()
+        send_to_telegram(err_msg)
+        print(err_msg)       
 
     #gc.collect()
 
@@ -915,7 +918,7 @@ def archive_runner(runner: Runner, strat: StrategyInstance, inter_batch_params:
         #pole indicatoru, kazdy ma svoji casovou osu time
         flattened_indicators_list = []
         for key, value in strat.state.indicators.items():
-                if isinstance(value, ndarray):
+                if isinstance(value, np.ndarray):
                     #print("is numpy", key,value)
                     flattened_indicators[key]= value.tolist()
                     #print("changed numpy:",value.tolist())
@@ -925,7 +928,7 @@ def archive_runner(runner: Runner, strat: StrategyInstance, inter_batch_params:
         flattened_indicators_list.append(flattened_indicators)
         flattened_indicators = {}
         for key, value in strat.state.cbar_indicators.items():
-                if isinstance(value, ndarray):
+                if isinstance(value, np.ndarray):
                     #print("is numpy", key,value)
                     flattened_indicators[key]= value.tolist()
                     #print("changed numpy:",value.tolist())

v2realbot/loader/trade_offline_streamer.py

@@ -90,8 +90,8 @@ class Trade_Offline_Streamer(Thread):
                 time.sleep(backoff_factor * (2 ** attempt))
 
         print("All attempts to fetch data failed.")
-        send_to_telegram(f"Failed to fetch stock trades after {max_retries} retries. Last exception: {last_exception}")
+        send_to_telegram(f"Failed to fetch stock trades after {max_retries} retries. Last exception: {str(last_exception)} and {format_exc()}")
-        raise ConnectionError(f"Failed to fetch stock trades after {max_retries} retries. Last exception: {last_exception}")
+        raise ConnectionError(f"Failed to fetch stock trades after {max_retries} retries. Last exception: {str(last_exception)} and {format_exc()}")
 
    # Override the run() function of Thread class
    #odebrano async

v2realbot/tools/createbatchimage.py

@@ -0,0 +1,20 @@
+import argparse
+import v2realbot.reporting.metricstoolsimage as mt
+
+##Generates BATCH REPORT again for the given batch_id
+##USAGE: python createbatchimage.py <batch_id>
+#Parse the command-line arguments
+parser = argparse.ArgumentParser(description="Generate trading report image with batch ID")
+parser.add_argument("batch_id", type=str, help="The batch ID for the report")
+args = parser.parse_args()
+
+batch_id = args.batch_id
+
+# Generate the report image
+res, val = mt.generate_trading_report_image(batch_id=batch_id)
+
+# Print the result
+if res == 0:
+    print("BATCH REPORT CREATED")
+else:
+    print(f"BATCH REPORT ERROR - {val}")

v2realbot/utils/historicals.py

@@ -13,6 +13,7 @@ from collections import defaultdict
 from pandas import to_datetime
 from msgpack.ext import Timestamp
 import time
+from traceback import format_exc
 
 def convert_historical_bars(daily_bars):
   """Converts a list of daily bars into a dictionary with the specified keys.
@@ -124,5 +125,5 @@ def get_historical_bars(symbol: str, time_from: datetime, time_to: datetime, tim
             time.sleep(backoff_factor * (2 ** attempt))
 
     print("All attempts to fetch historical bar data failed.")
-    send_to_telegram(f"Failed to fetch historical bar data after {max_retries} retries. Last exception: {last_exception}")
+    send_to_telegram(f"Failed to fetch historical bar data after {max_retries} retries. Last exception: {str(last_exception)} and {format_exc()}")
-    raise Exception(f"Failed to fetch historical bar data after {max_retries} retries. Last exception: {last_exception}")
+    raise Exception(f"Failed to fetch historical bar data after {max_retries} retries. Last exception: {str(last_exception)} and {format_exc()}")

v2realbot/utils/utils.py

@@ -29,6 +29,7 @@ import numpy as np
 from alpaca.trading.requests import GetCalendarRequest
 from alpaca.trading.client import TradingClient
 import time as timepkg
+from traceback import format_exc
 
 #Alpaca Calendar wrapper with retry
 def fetch_calendar_data(start, end, max_retries=5, backoff_factor=1):
@@ -60,8 +61,8 @@ def fetch_calendar_data(start, end, max_retries=5, backoff_factor=1):
             timepkg.sleep(backoff_factor * (2 ** attempt))
 
     richprint("****All attempts to fetch calendar data failed.****")
-    send_to_telegram(f"FETCH_CALENDER_DATA_FAILED. {last_exception} BACKEST STOPPED" )
+    send_to_telegram(f"FETCH_CALENDER_DATA_FAILED. {str(last_exception)} and {format_exc()} BACKEST STOPPED" )
-    raise ConnectionError(f"Failed to fetch calendar data after {max_retries} retries. Last exception: {last_exception}")
+    raise ConnectionError(f"Failed to fetch calendar data after {max_retries} retries. Last exception: {str(last_exception)} and {format_exc()}")
 
 def concatenate_weekdays(weekday_filter):
     # Mapping of weekdays where 0 is Monday and 6 is Sunday