mirror of
https://github.com/NicolasBohn/NexQuant.git
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e0a24fb46f
* ignore result csv file * fix app scripts * rename taskgenerator to developer and generate to develop * fix a config bug in coder * fix a small bug in factor coder evaluators * remove a single logger in factor coder evaluators * fix a small bug in model coder main.py * rename Implementation to Workspace * move the prepare the inject_code into FBWorkspace to align all the behavior * fix a small bug in model feedback * remove debug lines for multi processing and simplify evaluators multi proc * add a copy function to workspace to freeze the workspace && add config prefix to speed up debugging * make hypothesisgen a abc class * use Qlib***Experiment * fix a small bug * rename Imp to Ws * rename sub_implementations to sub_workspace_list * fix a bug in feedback not presented as content in prompts * move proposal pys to proposal folder * reformat the folder * align factor and model qlib workspace and use template to handle the workspace * add a filter to evoagent to filter out false evo * align multi_proc_n into RDAGENT seeting * handle when runner gets empty experiment * fix logger merge remaining problems * fix black and isort automatically
92 lines
1.9 KiB
Python
92 lines
1.9 KiB
Python
from pathlib import Path
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from rdagent.log.base import Storage, View
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class ProcessView(View):
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def __init__(self, trace_path: Path):
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# Save logs to your desired data structure
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# ...
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pass
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def display(s: Storage, watch: bool = False):
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pass
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class WebView(View):
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r"""
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We have tree structure for sequence
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session
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... defined by user ...
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info1 -> info2 -> ... -> info3 -> ... overtime.
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<message dispature>
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Frontend is composed of windows.
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Each window can individually display the message flow.
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Some design principles:
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session1.module(e.g. implement).
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`s.log(a.b.1.c) s.log(a.b.2.c)` should not handed over to users.
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An display example:
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W1 write factor
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W2 evaluate factor
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W3 backtest
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W123
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R
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RX
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RXX
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RX
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W4
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trace r1 r2 r3 r4
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What to do next?
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1. Data structure
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2. Map path like `a.b.c` to frontend components
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3. Display logic
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"""
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def __init__(self, trace_path: Path):
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pass
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# Save logs to your desired data structure
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# ...
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def display(s: Storage, watch: bool = False):
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ui = STLUI()
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for msg in s.iter_msg(): # iterate overtime
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# NOTE: iter_msg will correctly seperate the information.
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# TODO: msg may support streaming mode.
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ui.dispatch(msg)
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pass
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# TODO: Implement the following classes
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class STLWindow:
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...
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def consume_msg(self, msg):
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... # update it's view
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class STLUI:
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wd_l: list[STLWindow]
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def __init__(self):
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self.build_ui()
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def build_ui(self):
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# control the dispaly of windows
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...
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def dispatch(self, msg):
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# map the message to a specific window
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...
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