balik zmen uff

testy/scaffoldings/custom_ind.py

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+import numpy as np
+import matplotlib.pyplot as plt
+from v2realbot.controller.services import get_archived_runner_details_byID, preview_indicator_byTOML
+from v2realbot.common.model import RunArchiveDetail, InstantIndicator
+from scipy.signal import argrelextrema
+from v2realbot.utils.utils import AttributeDict, zoneNY, zonePRG, safe_get, dict_replace_value, Store, parse_toml_string, json_serial, is_open_hours, send_to_telegram
+
+##SCAFFOLDING for development of new indicator
+
+runner_id = "7512b097-1f29-4c61-a331-2b1a40fd3f91"
+
+toml = """
+#[stratvars.indicators.local_maxik]
+type = 'custom'
+subtype = 'basestats'
+on_confirmed_only = true
+cp.lookback = 30
+cp.source = 'vwap'
+cp.function = 'maxima'
+"""
+
+toml = """
+type = 'custom'
+subtype = 'expression'
+on_confirmed_only = true
+cp.expression = 'int(utls.is_pivot(high,3))'
+"""
+
+toml = """
+type = 'custom'
+subtype = 'expression'
+on_confirmed_only = true
+cp.expression = 'int(utls.is_pivot(high,3))'
+"""
+
+
+res, val = get_archived_runner_details_byID(runner_id)
+if res < 0:
+    print("error fetching runner")
+    print(res)
+
+detail = RunArchiveDetail(**val)
+
+res, toml_parsed = parse_toml_string(toml)
+if res < 0:
+    print("invalid tml",res, toml)
+print(toml_parsed)
+#toml_parsed = AttributeDict(**toml_parsed)
+# for i in toml_parsed["stratvars"]["indicators"]:
+#     break
+
+ind: InstantIndicator = InstantIndicator(name="testind", toml=toml)
+
+result, new_ind_values = preview_indicator_byTOML(id=runner_id, indicator=ind)
+if result < 0:
+    print("error", result, val)
+
+# detail.indicators[0]
+price_series = np.array(detail.bars["vwap"])
+new_ind_value = np.array(new_ind_values)
+#price_series = detail.bars["vwap"]
+#timestamps = detail.bars["time"]
+
+# Plot the price series with local maxima and minima
+plt.figure(figsize=(10, 6))
+plt.plot(range(len(price_series)), price_series, label='Price')
+plt.plot(range(len(new_ind_value)), new_ind_value, label='Indicator')
+plt.xlabel('Time')
+plt.ylabel('Price')
+plt.title('Price Series with Local Maxima and Minima')
+plt.legend()
+plt.show()
+
+