mirror of
https://github.com/NicolasBohn/NexQuant.git
synced 2026-07-28 16:07:46 +00:00
Linlang
c8f1c5364a
* change_log_object * lint code * delete comments * change_log_object * change_log_object * fix import test error * update code * update code * fix bugs * skip mypy error * skip mypy error * skip mypy error * Start the flask server before running the demo. * achieve front and back interaction * fix github-advanced-security comments * fix github-advanced-security comments * tmp ignore * fix CI * move some logic * change format * adjust logic * log2json changes * tmp * fix * fix bug * refine log2json between 5 scenarios * fix * refine codes * fix logic * use localhost * add loop & all_duration param for old scenario startup * merge control logic * add README for server ui api * update README * reuse code in logger * add loop_n and all_duration param * fix upload * ui server now use port in setting * fix port setting * fix port setting * fix mypy check * refine logger and log storage * fix ruff error * fix CI * refine logger, loop, storage * bind one FileStorage with one logger * not truncate log storage * refine LoopBase.load(), use `checkout` instead of `output_path` and `do_truncate` * clear session folder when loading loop to run * move component info init step to ExpGen Class * Update rdagent/utils/workflow.py * move truncate_session function to LoopBase class * add checkout param for other scenarios * fix bug * move WebStorage to UI * change web_storage name * add randomname to requirements * add typer * fix requirements --------- Co-authored-by: WinstonLiyte <1957922024@qq.com> Co-authored-by: Bowen Xian <xianbowen@outlook.com> Co-authored-by: you-n-g <you-n-g@users.noreply.github.com>
71 lines
2.1 KiB
Python
71 lines
2.1 KiB
Python
"""
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CLI entrance for all rdagent application.
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This will
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- make rdagent a nice entry and
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- autoamtically load dotenv
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"""
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from dotenv import load_dotenv
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load_dotenv(".env")
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# 1) Make sure it is at the beginning of the script so that it will load dotenv before initializing BaseSettings.
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# 2) The ".env" argument is necessary to make sure it loads `.env` from the current directory.
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import subprocess
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from importlib.resources import path as rpath
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import fire
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from rdagent.app.data_mining.model import main as med_model
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from rdagent.app.data_science.loop import main as kaggle
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from rdagent.app.general_model.general_model import (
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extract_models_and_implement as general_model,
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)
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from rdagent.app.qlib_rd_loop.factor import main as fin_factor
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from rdagent.app.qlib_rd_loop.factor_from_report import main as fin_factor_report
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from rdagent.app.qlib_rd_loop.model import main as fin_model
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from rdagent.app.qlib_rd_loop.quant import main as fin_quant
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from rdagent.app.utils.health_check import health_check
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from rdagent.app.utils.info import collect_info
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def ui(port=19899, log_dir="", debug=False):
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"""
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start web app to show the log traces.
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"""
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with rpath("rdagent.log.ui", "app.py") as app_path:
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cmds = ["streamlit", "run", app_path, f"--server.port={port}"]
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if log_dir or debug:
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cmds.append("--")
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if log_dir:
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cmds.append(f"--log_dir={log_dir}")
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if debug:
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cmds.append("--debug")
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subprocess.run(cmds)
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def server_ui(port=19899):
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"""
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start web app to show the log traces in real time
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"""
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subprocess.run(["python", "rdagent/log/server/app.py", f"--port={port}"])
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def app():
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fire.Fire(
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{
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"fin_factor": fin_factor,
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"fin_factor_report": fin_factor_report,
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"fin_model": fin_model,
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"fin_quant": fin_quant,
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"med_model": med_model,
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"general_model": general_model,
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"ui": ui,
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"health_check": health_check,
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"collect_info": collect_info,
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"kaggle": kaggle,
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"server_ui": server_ui,
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}
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)
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