update code (#9)

Co-authored-by: xuyang1 <xuyang1@microsoft.com>

rdagent/factor_implementation/share_modules/conf.py

@@ -0,0 +1,42 @@
+from pathlib import Path
+
+from finco.conf import FincoSettings
+
+
+class FactorImplementSettings(FincoSettings):
+    file_based_execution_data_folder: str = str(
+        (Path().cwd() / "git_ignore_folder" / "factor_implementation_source_data").absolute(),
+    )
+    file_based_execution_workspace: str = str(
+        (Path().cwd() / "git_ignore_folder" / "factor_implementation_workspace").absolute(),
+    )
+    implementation_execution_cache_location: str = str(
+        (Path().cwd() / "git_ignore_folder" / "factor_implementation_execution_cache.pkl").absolute(),
+    )
+    enable_execution_cache: bool = True  # whether to enable the execution cache
+
+    # TODO: the factor implement specific settings should not appear in this settings
+    # Evolving should have a method specific settings
+    # evolving related config
+    fail_task_trial_limit: int = 20
+
+    v1_query_former_trace_limit: int = 5
+    v1_query_similar_success_limit: int = 5
+
+    v2_query_component_limit: int = 1
+    v2_query_error_limit: int = 1
+    v2_query_former_trace_limit: int = 1
+    v2_error_summary: bool = False
+    v2_knowledge_sampler: float = 1.0
+
+    chat_token_limit: int = (
+        100000  # 100000 is the maximum limit of gpt4, which might increase in the future version of gpt
+    )
+
+    implementation_factors_per_round: int = 100  # how many factors to choose for each round of evolving
+    evo_multi_proc_n: int = 16  # how many processes to use for evolving (including eval & generation)
+
+    file_based_execution_timeout: int = 120  # seconds for each factor implementation execution
+
+
+FIS = FactorImplementSettings()