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https://github.com/freqtrade/freqtrade.git
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feat: Tag table -> rich
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parent
a605ae20a7
commit
315351b573
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@ -1,5 +1,5 @@
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import logging
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from typing import Any, Dict, List, Union
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from typing import Any, Dict, List, Literal, Union
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from tabulate import tabulate
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@ -74,7 +74,11 @@ def text_table_bt_results(
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print_rich_table(output, headers, summary=title)
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def text_table_tags(tag_type: str, tag_results: List[Dict[str, Any]], stake_currency: str) -> str:
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def text_table_tags(
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tag_type: Literal["enter_tag", "exit_tag", "exit_reason"],
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tag_results: List[Dict[str, Any]],
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stake_currency: str,
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) -> str:
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"""
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Generates and returns a text table for the given backtest data and the results dataframe
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:param pair_results: List of Dictionaries - one entry per pair + final TOTAL row
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@ -85,12 +89,15 @@ def text_table_tags(tag_type: str, tag_results: List[Dict[str, Any]], stake_curr
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fallback: str = ""
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is_list = False
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if tag_type == "enter_tag":
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headers = _get_line_header("Enter Tag", stake_currency, "Entries")
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title = "Enter Tag"
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headers = _get_line_header(title, stake_currency, "Entries")
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elif tag_type == "exit_tag":
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headers = _get_line_header("Exit Reason", stake_currency, "Exits")
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title = "Exit Reason"
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headers = _get_line_header(title, stake_currency, "Exits")
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fallback = "exit_reason"
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else:
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# Mix tag
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title = "Mixed Tag"
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headers = _get_line_header(["Enter Tag", "Exit Reason"], stake_currency, "Trades")
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floatfmt.insert(0, "s")
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is_list = True
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@ -108,7 +115,7 @@ def text_table_tags(tag_type: str, tag_results: List[Dict[str, Any]], stake_curr
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),
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t["trades"],
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t["profit_mean_pct"],
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t["profit_total_abs"],
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f"{t['profit_total_abs']:.{decimals_per_coin(stake_currency)}f}",
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t["profit_total_pct"],
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t.get("duration_avg"),
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generate_wins_draws_losses(t["wins"], t["draws"], t["losses"]),
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@ -116,7 +123,7 @@ def text_table_tags(tag_type: str, tag_results: List[Dict[str, Any]], stake_curr
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for t in tag_results
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]
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# Ignore type as floatfmt does allow tuples but mypy does not know that
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return tabulate(output, headers=headers, floatfmt=floatfmt, tablefmt="orgtbl", stralign="right")
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print_rich_table(output, headers, summary=f"{title.upper()} STATS")
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def text_table_periodic_breakdown(
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@ -395,25 +402,13 @@ def _show_tag_subresults(results: Dict[str, Any], stake_currency: str):
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Print tag subresults (enter_tag, exit_reason_summary, mix_tag_stats)
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"""
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if (enter_tags := results.get("results_per_enter_tag")) is not None:
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table = text_table_tags("enter_tag", enter_tags, stake_currency)
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if isinstance(table, str) and len(table) > 0:
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print(" ENTER TAG STATS ".center(len(table.splitlines()[0]), "="))
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print(table)
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text_table_tags("enter_tag", enter_tags, stake_currency)
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if (exit_reasons := results.get("exit_reason_summary")) is not None:
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table = text_table_tags("exit_tag", exit_reasons, stake_currency)
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if isinstance(table, str) and len(table) > 0:
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print(" EXIT REASON STATS ".center(len(table.splitlines()[0]), "="))
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print(table)
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text_table_tags("exit_tag", exit_reasons, stake_currency)
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if (mix_tag := results.get("mix_tag_stats")) is not None:
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table = text_table_tags("mix_tag", mix_tag, stake_currency)
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if isinstance(table, str) and len(table) > 0:
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print(" MIXED TAG STATS ".center(len(table.splitlines()[0]), "="))
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print(table)
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text_table_tags("mix_tag", mix_tag, stake_currency)
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def show_backtest_result(
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@ -436,7 +436,7 @@ def test_calc_streak(testdatadir):
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assert calc_streak(bt_data) == (7, 18)
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def test_text_table_exit_reason():
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def test_text_table_exit_reason(capsys):
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results = pd.DataFrame(
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{
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"pair": ["ETH/BTC", "ETH/BTC", "ETH/BTC"],
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@ -453,7 +453,8 @@ def test_text_table_exit_reason():
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exit_reason_stats = generate_tag_metrics(
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"exit_reason", starting_balance=22, results=results, skip_nan=False
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)
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text = text_table_tags("exit_tag", exit_reason_stats, "BTC")
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text_table_tags("exit_tag", exit_reason_stats, "BTC")
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text = capsys.readouterr().out
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assert re.search(
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r".* Exit Reason .* Exits .* Avg Profit % .* Tot Profit BTC .* Tot Profit % .* "
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@ -461,11 +462,11 @@ def test_text_table_exit_reason():
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text,
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)
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assert re.search(
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r".* roi .* 2 .* 15.00 .* 0.60000000 .* 2.73 .* 0:20:00 .* 2 0 0 100 .*",
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r".* roi .* 2 .* 15.0 .* 0.60000000 .* 2.73 .* 0:20:00 .* 2 0 0 100 .*",
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text,
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)
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assert re.search(
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r".* stop_loss .* 1 .* -10.00 .* -0.20000000 .* -0.91 .* 0:10:00 .* 0 0 1 0 .*",
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r".* stop_loss .* 1 .* -10.0 .* -0.20000000 .* -0.91 .* 0:10:00 .* 0 0 1 0 .*",
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text,
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)
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assert re.search(
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