migrace z tinydb, nove direktivy

v2realbot/ENTRY_ClassicSL_v01.py

@@ -6,7 +6,7 @@ from v2realbot.enums.enums import RecordType, StartBarAlign, Mode, Account, Orde
 from v2realbot.indicators.indicators import ema
 from v2realbot.indicators.oscillators import rsi
 from v2realbot.common.PrescribedTradeModel import Trade, TradeDirection, TradeStatus, TradeStoplossType
-from v2realbot.utils.utils import ltp, isrising, isfalling,trunc,AttributeDict, zoneNY, price2dec, print, safe_get, round2five, is_open_rush, is_close_rush, is_window_open, eval_cond_dict, Average, crossed_down, crossed_up, crossed, is_pivot, json_serial
+from v2realbot.utils.utils import ltp, isrising, isfalling,trunc,AttributeDict, zoneNY, price2dec, print, safe_get, round2five, is_open_rush, is_close_rush, is_still, is_window_open, eval_cond_dict, Average, crossed_down, crossed_up, crossed, is_pivot, json_serial
 from v2realbot.utils.directive_utils import get_conditions_from_configuration
 from v2realbot.common.model import SLHistory
 from datetime import datetime
@@ -130,6 +130,9 @@ def next(data, state: StrategyState):
                 cond[cond_type][directive+"_"+indname+"_"+str(value)] = is_pivot(source=get_source_or_MA(indname), leg_number=value, type="A")
             elif directive.endswith("pivot_v"):
                 cond[cond_type][directive+"_"+indname+"_"+str(value)] = is_pivot(source=get_source_or_MA(indname), leg_number=value, type="V")
+            elif directive.endswith("still_for"):
+                #for 2 decimals
+                cond[cond_type][directive+"_"+indname+"_"+str(value)] = is_still(get_source_or_MA(indname),value, 2)
 
             #PRIPADNE DALSI SPECIFICKE ZDE
             # elif directive == "buy_if_necospecifckeho":
@@ -389,8 +392,8 @@ def next(data, state: StrategyState):
 
                         #pokud mame aktivni pozice, nastavime lookbackprice a time podle posledniho tradu
                         #pokud se ale dlouho nenakupuje (uplynulo od posledniho nakupu vic nez back_to_standard_after baru), tak se vracime k prumeru
-                        if state.avgp > 0 and state.bars.index[-1] < int(state.vars.lastbuyindex)+back_to_standard_after:
+                        if state.avgp > 0 and state.bars.index[-1] < int(state.vars.last_buy_index)+back_to_standard_after:
-                            lb_index = -1 - (state.bars.index[-1] - int(state.vars.lastbuyindex))
+                            lb_index = -1 - (state.bars.index[-1] - int(state.vars.last_buy_index))
                             lookbackprice = state.bars.vwap[lb_index]
                             state.ilog(e=f"IND {name} slope {leftpoint}- LEFT POINT OVERRIDE bereme ajko cenu lastbuy {lookbackprice=} {lookbacktime=} {lb_index=}")
                         else:
@@ -719,7 +722,7 @@ def next(data, state: StrategyState):
 
         state.ilog(e=f"PROFIT {def_profit=} {normalized_def_profit=}")
 
-        return price2dec(data["close"]+normalized_def_profit,3) if int(state.positions) > 0 else price2dec(data["close"]-normalized_def_profit,3)
+        return price2dec(float(state.avgp)+normalized_def_profit,3) if int(state.positions) > 0 else price2dec(float(state.avgp)-normalized_def_profit,3)
         
     def get_max_profit_price():
         directive_name = "max_profit"
@@ -729,7 +732,7 @@ def next(data, state: StrategyState):
 
         state.ilog(e=f"MAX PROFIT {max_profit=} {normalized_max_profit=}")
 
-        return price2dec(data["close"]+normalized_max_profit,3) if int(state.positions) > 0 else price2dec(data["close"]-normalized_max_profit,3)    
+        return price2dec(float(state.avgp)+normalized_max_profit,3) if int(state.positions) > 0 else price2dec(float(state.avgp)-normalized_max_profit,3)    
 
     #TBD pripadne opet dat parsovani pole do INITu
 
@@ -739,6 +742,18 @@ def next(data, state: StrategyState):
         else:
             smer = "short"
 
+        #get name of strategy
+        signal_originator = state.vars.activeTrade.generated_by
+
+        if signal_originator is not None:
+            exit_cond_only_on_confirmed = safe_get(state.vars.signals[signal_originator], "exit_cond_only_on_confirmed", safe_get(state.vars, "exit_cond_only_on_confirmed", False))
+        else:
+            exit_cond_only_on_confirmed = safe_get(state.vars, "exit_cond_only_on_confirmed", False)
+
+        if exit_cond_only_on_confirmed and data['confirmed'] == 0:
+            state.ilog("EXIT COND ONLY ON CONFIRMED BAR")
+            return False
+
         #TOTO ZATIM NEMA VYZNAM
         # options = safe_get(state.vars, 'exit_conditions', None)
         # if options is None:
@@ -912,8 +927,6 @@ def next(data, state: StrategyState):
 
         if int(state.positions) != 0 and float(state.avgp)>0 and state.vars.pending is None:
             
-            #podivam se zda dana 
-            
             #pevny target - presunout toto do INIT a pak jen pristupovat
             goal_price = get_profit_target_price()
             max_price = get_max_profit_price()
@@ -984,6 +997,7 @@ def next(data, state: StrategyState):
                 trade.last_update = datetime.fromtimestamp(state.time).astimezone(zoneNY)
                 state.ilog(e=f"evaluated LONG", trade=json.loads(json.dumps(trade, default=json_serial)), prescrTrades=json.loads(json.dumps(state.vars.prescribedTrades, default=json_serial)))
                 state.vars.activeTrade = trade
+                state.vars.last_buy_index = data["index"]
                 break
         #evaluate shorts
         if not state.vars.activeTrade:
@@ -993,6 +1007,7 @@ def next(data, state: StrategyState):
                     trade.status = TradeStatus.ACTIVATED
                     trade.last_update = datetime.fromtimestamp(state.time).astimezone(zoneNY)
                     state.vars.activeTrade = trade
+                    state.vars.last_buy_index = data["index"]
                     break
 
         #odeslani ORDER + NASTAVENI STOPLOSS (zatim hardcoded)
@@ -1109,6 +1124,15 @@ def next(data, state: StrategyState):
     def common_go_preconditions_check(signalname: str, options: dict):
         #ZAKLADNI KONTROLY ATRIBUTU s fallbackem na obecné
         #check working windows (open - close, in minutes from the start of marker)
+
+        next_signal_offset = safe_get(options, "next_signal_offset_from_last",safe_get(state.vars, "next_signal_offset_from_last",0))
+
+        if state.vars.last_buy_index is not None:
+            index_to_compare = int(state.vars.last_buy_index)+int(next_signal_offset) 
+            if index_to_compare > int(data["index"]):
+                state.ilog(e=f"NEXT SIGNAL OFFSET {next_signal_offset} waiting - TOO SOON", currindex=data["index"], index_to_compare=index_to_compare)
+                return False      
+
         window_open = safe_get(options, "window_open",safe_get(state.vars, "window_open",0))
         window_close = safe_get(options, "window_close",safe_get(state.vars, "window_close",390))
 
@@ -1390,7 +1414,7 @@ def init(state: StrategyState):
     state.vars.last_50_deltas = []
     state.vars.last_tick_volume = 0
     state.vars.next_new = 0
-    state.vars.lastbuyindex = 0
+    state.vars.last_buy_index = None
     state.vars.last_update_time = 0
     state.vars.reverse_position_waiting_amount = 0
     #INIT promenne, ktere byly zbytecne ve stratvars

v2realbot/controller/services.py

@@ -279,7 +279,7 @@ def save_history(id: UUID, st: object, runner: Runner, reason: str = None):
             db.save()
  
 #Capsule to run the thread in. Needed in order to update db after strat ends for any reason#
-def capsule(target: object, db: object):
+def capsule(target: object, db: object, inter_batch_params: dict = None):
     
     #TODO zde odchytit pripadnou exceptionu a zapsat do history
     #cil aby padnuti jedne nezpusobilo pad enginu
@@ -305,7 +305,7 @@ def capsule(target: object, db: object):
                 #ukladame radek do historie (pozdeji refactor)
                 save_history(id=i.strat_id, st=target, runner=i, reason=reason)
                 #store in archive header and archive detail
-                archive_runner(runner=i, strat=target)
+                archive_runner(runner=i, strat=target, inter_batch_params=inter_batch_params)
                 #mazeme runner po skonceni instance
                 db.runners.remove(i)
 
@@ -373,6 +373,9 @@ def batch_run_manager(id: UUID, runReq: RunRequest, testlist: TestList):
     interval: Intervals
     cnt_max = len(testlist.dates)
     cnt = 0
+    #promenna pro sdileni mezi runy jednotlivych batchů (např. daily profit)
+    inter_batch_params = dict(batch_profit=0)
+    note_from_run_request = runReq.note
     for intrvl in testlist.dates:
         cnt += 1
         interval = intrvl
@@ -385,10 +388,10 @@ def batch_run_manager(id: UUID, runReq: RunRequest, testlist: TestList):
         #předání atributů datetime.fromisoformat
         runReq.bt_from = datetime.fromisoformat(interval.start)
         runReq.bt_to = datetime.fromisoformat(interval.end)
-        runReq.note = f"Batch {batch_id} run #{cnt}/{cnt_max} Note:{interval.note}"
+        runReq.note = f"Batch {batch_id} #{cnt}/{cnt_max} {testlist.name} N:{interval.note} {note_from_run_request}"
 
         #protoze jsme v ridicim vlaknu, poustime za sebou jednotlive stratiny v synchronnim modu
-        res, id_val = run_stratin(id=id, runReq=runReq, synchronous=True)
+        res, id_val = run_stratin(id=id, runReq=runReq, synchronous=True, inter_batch_params=inter_batch_params)
         if res < 0:
             print(f"CHyba v runu #{cnt} od:{runReq.bt_from} do {runReq.bt_to} -> {id_val}")
             break
@@ -397,7 +400,7 @@ def batch_run_manager(id: UUID, runReq: RunRequest, testlist: TestList):
 
 
 #stratin run
-def run_stratin(id: UUID, runReq: RunRequest, synchronous: bool = False):
+def run_stratin(id: UUID, runReq: RunRequest, synchronous: bool = False, inter_batch_params: dict = None):
     if runReq.mode == Mode.BT:
         if runReq.bt_from is None:
             return (-1, "start date required for BT")
@@ -469,7 +472,7 @@ def run_stratin(id: UUID, runReq: RunRequest, synchronous: bool = False):
                 print("Starting strategy", instance.name)
                 #vlakno = Thread(target=instance.start, name=instance.name)
                 #pokus na spusteni v kapsli, abychom po skonceni mohli updatnout stratin
-                vlakno = Thread(target=capsule, args=(instance,db), name=instance.name)
+                vlakno = Thread(target=capsule, args=(instance,db, inter_batch_params), name=instance.name)
                 vlakno.start()
                 print("Spuštěna", instance.name)
                 ##storing the attributtes - pozor pri stopu je zase odstranit
@@ -498,7 +501,10 @@ def run_stratin(id: UUID, runReq: RunRequest, synchronous: bool = False):
                     print(f"waiting for thread {vlakno} to finish")
                     vlakno.join()
 
-                return (0, id)
+                if inter_batch_params is not None:
+                    return (0, inter_batch_params)
+                else:
+                    return (0, id)
             except Exception as e:
                 return (-2, "Exception: "+str(e)+format_exc())
     return (-2, "not found")
@@ -517,7 +523,7 @@ def get_trade_history(symbol: str, timestamp_from: float, timestamp_to:float):
     except Exception as e:
         return (-2, f"problem {e}")
     
-def populate_metrics_output_directory(strat: StrategyInstance):
+def populate_metrics_output_directory(strat: StrategyInstance, inter_batch_params: dict = None):
     """
     WIP
     Spocte zakladni metriky pred ulozenim do archivu
@@ -560,6 +566,10 @@ def populate_metrics_output_directory(strat: StrategyInstance):
     #filt = max_positions['side'] == 'OrderSide.BUY'
     res = dict(zip(max_positions['qty'], max_positions['count']))
 
+    #naplneni batch sum profitu
+    if inter_batch_params is not None:
+        res["batch_sum_profit"] = inter_batch_params["batch_profit"]
+
     #metrikz z prescribedTrades, pokud existuji
     try:
         long_profit = 0
@@ -605,7 +615,7 @@ def populate_metrics_output_directory(strat: StrategyInstance):
     return res
 
 #archives runner and details
-def archive_runner(runner: Runner, strat: StrategyInstance):
+def archive_runner(runner: Runner, strat: StrategyInstance, inter_batch_params: dict = None):
     results_metrics = dict()
     print("inside archive_runner")
     try:
@@ -625,12 +635,17 @@ def archive_runner(runner: Runner, strat: StrategyInstance):
                             BT_FILL_CONDITION_BUY_LIMIT=BT_FILL_CONDITION_BUY_LIMIT,
                             BT_FILL_CONDITION_SELL_LIMIT=BT_FILL_CONDITION_SELL_LIMIT))
 
+        
+        #add profit of this batch iteration to batch_sum_profit
+        if inter_batch_params is not None:
+            inter_batch_params["batch_profit"] += round(float(strat.state.profit),2)
+        
         #WIP
         #populate result metrics dictionary (max drawdown etc.)
         #list of maximum positions (2000 2x, 1800 x 1, 900 x 1, 100 x 20)
         #list of most profitable trades (pos,avgp + cena)
         #file pro vyvoj: ouptut_metriky_tradeList.py
-        results_metrics = populate_metrics_output_directory(strat)
+        results_metrics = populate_metrics_output_directory(strat, inter_batch_params)
 
         runArchive: RunArchive = RunArchive(id = runner.id,
                                             strat_id = runner.strat_id,
@@ -697,7 +712,8 @@ def archive_runner(runner: Runner, strat: StrategyInstance):
                                                             trades=strat.state.tradeList,
                                                             ext_data=strat.state.extData)
         with lock:
-            resh = db_arch_h.insert(runArchive.__dict__)
+            #resh = db_arch_h.insert(runArchive.__dict__)
+            resh = insert_archive_header(runArchive)
             resd = insert_archive_detail(runArchiveDetail)
             #resd = db_arch_d.insert(runArchiveDetail.__dict__)
         print("archive runner finished")
@@ -706,37 +722,116 @@ def archive_runner(runner: Runner, strat: StrategyInstance):
         print("Exception in archive_runner: " + str(e) + format_exc())
         return -2, str(e) + format_exc()
 
+# region ARCH HEADER
+def migrate_archived_runners() -> list[RunArchive]:
+    try:
+        res = db_arch_h.all()
+
+        #migration part
+        for item in res:
+            r = insert_archive_header(RunArchive(**item))
+            print("migrated",r)
+
+        return 0, r
+    except Exception as e:
+        print("Exception in migration: " + str(e) + format_exc())
+        return -2, str(e) + format_exc()
+
 def get_all_archived_runners():
-    res = db_arch_h.all()
+    conn = pool.get_connection()
-    return 0, res
+    try:
+        conn.row_factory = lambda c, r: json.loads(r[0])
+        c = conn.cursor()
+        res = c.execute(f"SELECT data FROM runner_header")
+    finally:
+        conn.row_factory = None
+        pool.release_connection(conn)        
+    return 0, res.fetchall()
+
+#vrátí konkrétní
+def get_archived_runner_header_byID(id: UUID):
+    conn = pool.get_connection()
+    try:
+        conn.row_factory = lambda c, r: json.loads(r[0])
+        c = conn.cursor()
+        result = c.execute(f"SELECT data FROM runner_header WHERE runner_id='{str(id)}'")
+        res= result.fetchone()
+    finally:
+        conn.row_factory = None
+        pool.release_connection(conn)
+    if res==None:
+        return -2, "not found"
+    else:
+        return 0, res
+
+def insert_archive_header(archeader: RunArchive):
+    conn = pool.get_connection()
+    try:
+        c = conn.cursor()
+        json_string = json.dumps(archeader, default=json_serial)
+        statement = f"INSERT INTO runner_header VALUES ('{str(archeader.id)}','{json_string}')"
+        res = c.execute(statement)
+        conn.commit()
+    finally:
+        pool.release_connection(conn)
+    return res.rowcount
+    
+#edit archived runner note - headers
+def edit_archived_runners(runner_id: UUID, archChange: RunArchiveChange):
+    try:
+        res, sada = get_archived_runner_header_byID(id=runner_id)
+        if res == 0:
+            archOriginal = RunArchive(**sada)
+            archOriginal.note = archChange.note
+            try:
+                conn = pool.get_connection()
+                c = conn.cursor()
+                json_string = json.dumps(archOriginal, default=json_serial)
+                statement = f"UPDATE runner_header SET data = '{json_string}' WHERE runner_id='{str(runner_id)}'"
+                res = c.execute(statement)
+                #print(res)
+                conn.commit()
+            finally:
+                pool.release_connection(conn)
+            return 0, runner_id
+        else:
+         return -1, f"Could not find arch runner {runner_id} {res} {sada}"
+
+    except Exception as e:
+        return -2, str(e)
 
 #delete runner in archive and archive detail and runner logs
 def delete_archived_runners_byID(id: UUID):
     try:
             with lock:
-                print("before header del")
+                print("header del")
-                resh = db_arch_h.remove(where('id') == id)
+                resh = delete_archive_header_byID(id)
-                print("before detail del")
+                #resh = db_arch_h.remove(where('id') == id)
+                print("detail del")
                 #resd = db_arch_d.remove(where('id') == id)
                 resd = delete_archive_detail_byID(id)
             print("Arch header and detail removed. Log deletition will start.")
             reslogs = delete_logs(id) 
-            if len(resh) == 0 or resd == 0:
+            if resh == 0 or resd == 0:
                 return -1, "not found "+str(resh) + " " + str(resd) + " " + str(reslogs)
             return 0, str(resh) + " " + str(resd) + " " + str(reslogs)
     except Exception as e:
         return -2, str(e)
 
-#edit archived runner note
+#returns number of deleted elements
-def edit_archived_runners(runner_id: UUID, archChange: RunArchiveChange):
+def delete_archive_header_byID(id: UUID):
+    conn = pool.get_connection()
     try:
-        with lock:
+        c = conn.cursor()
-            res = db_arch_h.update(set('note', archChange.note), where('id') == str(runner_id))
+        res = c.execute(f"DELETE from runner_header WHERE runner_id='{str(id)}';")
-        if len(res) == 0:
+        conn.commit()
-            return -1, "not found "+str(runner_id)
+        print("deleted", res.rowcount)
-        return 0, runner_id
+    finally:
-    except Exception as e:
+        pool.release_connection(conn)
-        return -2, str(e)
+    return res.rowcount
+# endregion
+
+# region ARCHIVE DETAIL
 
 #returns number of deleted elements
 def delete_archive_detail_byID(id: UUID):
@@ -750,9 +845,6 @@ def delete_archive_detail_byID(id: UUID):
         pool.release_connection(conn)
     return res.rowcount
 
-# def get_all_archived_runners_detail_old():
-#     res = db_arch_d.all()
-#     return 0, res
 
 def get_all_archived_runners_detail():
     conn = pool.get_connection()
@@ -798,6 +890,7 @@ def insert_archive_detail(archdetail: RunArchiveDetail):
     finally:
         pool.release_connection(conn)
     return res.rowcount
+# endregion
 
 # region TESTLISTS db services
 def get_testlists():
@@ -820,7 +913,8 @@ def get_testlists():
 # endregion
 
 # region CONFIG db services
-
+#TODO vytvorit modul pro dotahovani z pythonu (get_from_config(var_name, def_value) {)- stejne jako v js 
+#TODO zvazit presunuti do TOML z JSONu
 def get_all_config_items():
     conn = pool.get_connection()
     try:

v2realbot/main.py

@@ -1,7 +1,7 @@
 import os,sys
 sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
 from v2realbot.enums.enums import Mode, Account
-from v2realbot.config import WEB_API_KEY
+from v2realbot.config import WEB_API_KEY, DATA_DIR
 from alpaca.data.timeframe import TimeFrame, TimeFrameUnit
 from datetime import datetime
 #from icecream import install, ic
@@ -271,7 +271,41 @@ def get_trade_history(symbol: str, timestamp_from: float, timestamp_to:float) ->
     else:
         raise HTTPException(status_code=404, detail=f"No trades found {res}")
 
+@app.put("/migrate", dependencies=[Depends(api_key_auth)], status_code=status.HTTP_200_OK)
+def migrate():
+    lock_file = DATA_DIR + "/migr.lock"
+    
+    #if lock file not present, we can continue and create the file
+    if not os.path.exists(lock_file):
+
+        #migration code
+        print("migration code done")
+        conn = pool.get_connection()
+        try:
+            conn.row_factory = lambda c, r: json.loads(r[0])
+            c = conn.cursor()
+            res = c.execute(f'CREATE TABLE "runner_header" ("runner_id"	varchar(32) NOT NULL,"data"	json NOT NULL, PRIMARY KEY("runner_id"))')
+            print(res)
+            print("table created")
+            conn.commit()
+        finally:
+            conn.row_factory = None
+            pool.release_connection(conn)  
+             
+        res, set =cs.migrate_archived_runners()
+        if res == 0:
+            open(lock_file, 'w').close()
+            return set
+        else:
+            raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=f"No data found")
+
+
+    else:
+        raise HTTPException(status_code=status.HTTP_406_NOT_ACCEPTABLE, detail=f"Migration lock file present {lock_file}")
+
+
 #ARCHIVE RUNNERS SECTION
+# region Archive runners
 
 #get all archived runners header
 @app.get("/archived_runners/", dependencies=[Depends(api_key_auth)])
@@ -327,6 +361,8 @@ def _get_archived_runner_log_byID(runner_id: UUID, timestamp_from: float, timest
     else:
         raise HTTPException(status_code=404, detail=f"No logs found with id: {runner_id} and between {timestamp_from} and {timestamp_to}")
 
+# endregion 
+
 #get alpaca history bars
 @app.get("/history_bars/", dependencies=[Depends(api_key_auth)])
 def _get_alpaca_history_bars(symbol: str, datetime_object_from: datetime, datetime_object_to: datetime, timeframe_amount: int, timeframe_unit: TimeFrameUnit) -> list[Bar]:

v2realbot/static/index.html

@@ -25,6 +25,12 @@
         
         <script src="https://cdn.datatables.net/select/1.6.2/js/dataTables.select.min.js"></script>
 
+
+
+        <!-- <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/11.8.0/styles/gradient-dark.min.css">
+        <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/11.8.0/highlight.min.js"></script>
+        <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/11.8.0/languages/json.min.js"></script> -->
+
         <!-- <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.5/css/bootstrap.min.css">
         <script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
         <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.5/js/bootstrap.min.js"></script>

v2realbot/static/js/config.js

@@ -1,4 +1,6 @@
 //JS code for using config value on the frontend
+//TODO zvazit presunuti do TOML z JSONu
+
 configData = {}
 
 function get_from_config(name, def_value) {

v2realbot/static/js/configform.js

@@ -5,7 +5,6 @@ $(document).ready(function () {
         let editingItemId = null;
         var localArray = []
 
-
         // Function to populate the config list and load JSON data initially
         function populateConfigList(to_select = null) {
             $.ajax({
@@ -28,6 +27,20 @@ $(document).ready(function () {
                             $('#itemName').val(item.item_name);
                             $('#jsonTextarea').val(item.json_data);
                             editingItemId = item.id;
+                            // Get the textarea element.
+                            var textarea = $("#jsonTextarea");
+
+                            // // Highlight the JSON formatted string in the textarea.
+                            // hljs.highlightElement(textarea.get(0));
+                            // console.log(textarea.get(0))
+                            // console.log(textarea.get(1))
+
+                            // // Highlight the JSON formatted string whenever the textarea is edited.
+                            // textarea.on("input", function() {
+                            //     hljs.highlightElement(textarea.get(0));
+                            //     //hljs.highlightBlock(textarea.get(0),{ language: 'json' });
+                            // });
+
                         }
                         configList.append(`<option value="${item.id}" ${selected}>${item.item_name}</option>`);
                     });

v2realbot/static/js/utils.js

@@ -17,11 +17,11 @@ if (statusBarConfig == null) {
 
 const sorter = (a, b) => a.time > b.time ? 1 : -1;
 
-indConfig = {}
+var indConfig = null
 settings = {}
 settings
 //ostatni indicatory nez vwap, volume a bary
-indConfig = [ {name: "ema", titlevisible: false, embed: true, display: true, priceScaleId: "right", lastValueVisible: false},
+var indConfig_default = [ {name: "ema", titlevisible: false, embed: true, display: true, priceScaleId: "right", lastValueVisible: false},
               {name: "ema20", titlevisible: false, embed: true, display: true, priceScaleId: "right", lastValueVisible: false},              
               {name: "tick_volume", histogram: true, titlevisible: true, embed: true, display: true, priceScaleId: '', lastValueVisible: false},
               {name: "tick_price", titlevisible: true, embed: true, display: true, priceScaleId: "right", lastValueVisible: false},
@@ -50,7 +50,7 @@ indConfig = [ {name: "ema", titlevisible: false, embed: true, display: true, pri
               {name: "ppo", titlevisible: true, embed: true, display: true, priceScaleId: "middle", lastValueVisible: false},
               {name: "stoch2", titlevisible: true, embed: true, display: true, priceScaleId: "middle", lastValueVisible: false},
               {name: "sec_price", titlevisible: true, embed: true, display: true, priceScaleId: "right", lastValueVisible: false},]
-console.log(JSON.stringify(indConfig, null,null, 2))
+console.log(JSON.stringify(indConfig_default, null,null, 2))
 
 
 function initialize_statusheader() {
@@ -129,6 +129,11 @@ function initialize_statusheader() {
 
 
 function get_ind_config(indName) {
+
+    if (indConfig == null) {
+      indConfig = get_from_config("indConfig", indConfig_default)
+    }
+
     const i = indConfig.findIndex(e => e.name === indName);
     if (i>-1)
         {

v2realbot/utils/ilog.py

@@ -63,6 +63,7 @@ def get_log_window(runner_id: UUID, timestamp_from: float = 0, timestamp_to: flo
         c = conn.cursor()
         res = c.execute(f"SELECT data FROM runner_logs WHERE runner_id='{str(runner_id)}' AND time >={timestamp_from} AND time <={timestamp_to} ORDER BY time")
     finally:
+        conn.row_factory = None
         pool.release_connection(conn)
     return res.fetchall()
 

v2realbot/utils/utils.py

@@ -25,6 +25,27 @@ import pandas as pd
 from collections import deque
 
 
+def is_still(lst: list, how_many_last_items: int, precision: int):
+    """
+    Checks if the last N members of a list are equal within a given precision.
+
+    Args:
+    lst (list): The list of floats to check.
+    how_many_last_items (int): The number of last items to compare.
+    precision (int): The number of decimal places to round to for comparison.
+
+    Returns:
+    bool: True if the last N members are equal within the specified precision, False otherwise.
+    """
+    if len(lst) < how_many_last_items:
+        raise ValueError("The list does not have enough items to compare.")
+
+    last_items = lst[-how_many_last_items:]  # Get the last N items
+    rounded_last_items = [round(item, precision) for item in last_items]
+    
+    # Check if all rounded items are equal
+    return all(rounded_last_items[0] == item for item in rounded_last_items)
+
 
 #is_pivot function to check if there is A(V) shaped pivot in the list, each leg consists of N points
 #middle point is the shared one [1,2,3,2,1] - one leg is [1,2,3] second leg is [3,2,1]
@@ -53,22 +74,43 @@ def is_pivot(source: list, leg_number: int, type: str = "A"):
 def crossed_up(threshold, list):
     """check if threshold has crossed up last thresholdue in list"""
     try:
-        #upraveno, ze threshold muze byt vetsi nez predpredposledni
+        if threshold < list[-1] and threshold > list[-2]:
-        if threshold < list[-1] and threshold >= list[-2] or threshold < list[-1] and threshold >= list[-3]:
             return True
-        else:
+
-            return False
+        # #upraveno, ze threshold muze byt vetsi nez predpredposledni
+        # if threshold < list[-1] and threshold >= list[-2] or threshold < list[-1] and threshold >= list[-3]:
+        #     return True
+        # else:
+        #     return False
     except IndexError:
         return False
     
 def crossed_down(threshold, list):
     """check if threshold has crossed down last thresholdue in list"""
+    """
+    Checks if a threshold has just crossed down a line represented by a list.
+
+    Args:
+    threshold (float): The threshold value to check.
+    lst (list): The list representing the line.
+
+    Returns:
+    bool: True if the threshold just crossed down the line, False otherwise.
+    """
+
     try:
-        #upraveno, ze threshold muze byt mensi nez predpredposledni
+        #upraveno na jednoduchou verzi
-        if threshold > list[-1] and threshold <= list[-2] or threshold > list[-1] and threshold <= list[-3]:
+        if threshold > list[-1] and threshold < list[-2]:
             return True
-        else:
+
-            return False
+        return False
+
+
+        # #upraveno, ze threshold muze byt mensi nez predpredposledni
+        # if threshold > list[-1] and threshold <= list[-2] or threshold > list[-1] and threshold <= list[-3]:
+        #     return True
+        # else:
+        #     return False
     except IndexError:
         return False