From e3a75c0a0258451d1c2e8e1a22e827fe7e95f390 Mon Sep 17 00:00:00 2001
From: dmt <>
Date: Tue, 1 Oct 2019 20:49:11 +0200
Subject: [PATCH] Define general, pre processing and learn block identification
settings.
---
cml/shared/__init__.py | 0
cml/shared/settings.py | 102 +++++++++++++++++++++++++++++++++++++++++
2 files changed, 102 insertions(+)
create mode 100644 cml/shared/__init__.py
create mode 100644 cml/shared/settings.py
diff --git a/cml/shared/__init__.py b/cml/shared/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/cml/shared/settings.py b/cml/shared/settings.py
new file mode 100644
index 0000000..69bc969
--- /dev/null
+++ b/cml/shared/settings.py
@@ -0,0 +1,102 @@
+"""Settings module.
+
+"""
+from itertools import starmap
+from dataclasses import dataclass
+from configparser import ConfigParser
+
+
+# TODO (dmt): Set default values
+class Settings:
+ INPUT_FILE: str = ""
+ LEARN_DIR: str = ""
+ MAX_LEARN_DIR: int = 0
+ USE_EXISTING_MODELS: bool = False
+ SET_FEATURES: str = ""
+ SET_TARGETS: str = ""
+ SORT_TIME_STAMP: bool = False
+ CUT_TIME_STAMP: bool = False
+ BLOCK_SIZE: int = 0
+ MAX_BLOCKS: int = 0
+ STACK_ITERATIONS: int = 0
+ LEARN_BLOCK_MINIMUM: int = 0
+ SIGMA_ZETA_CUTOFF: float = 0.0
+
+
+@dataclass
+class GeneralSettings:
+ input_file: str
+ learn_dir: str
+ max_learn_dir: int
+ use_existing_models: bool
+
+
+@dataclass
+class PreprocessingSettings:
+ set_features: str
+ set_targets: str
+ sort_time_stamp: bool
+ cut_time_stamp: bool
+
+
+@dataclass
+class BlockProcessingSettings:
+ block_size = int
+ max_blocks = int
+ stack_iterations = int
+ learn_block_minimum = int
+ sigma_zeta_cutoff = float
+
+
+def specific_settings_factory(settings_type: str):
+ types = {
+ "general": starmap(
+ GeneralSettings, [(Settings.INPUT_FILE,
+ Settings.LEARN_DIR,
+ Settings.MAX_LEARN_DIR,
+ Settings.USE_EXISTING_MODELS)]),
+ "preprocessing": starmap(
+ PreprocessingSettings, [(Settings.SET_FEATURES,
+ Settings.SET_TARGETS,
+ Settings.SORT_TIME_STAMP,
+ Settings.CUT_TIME_STAMP)]),
+ "block_processing": starmap(
+ BlockProcessingSettings, [(Settings.BLOCK_SIZE,
+ Settings.MAX_BLOCKS,
+ Settings.STACK_ITERATIONS,
+ Settings.LEARN_BLOCK_MINIMUM,
+ Settings.SIGMA_ZETA_CUTOFF)])
+ }
+
+ return next(types[settings_type])
+
+
+def read_settings(path: str):
+ try:
+ config = ConfigParser(path)
+ configure_main_settings_class(config)
+ except AttributeError as e:
+ # TODO (dmt): Implement proper error handling.
+ pass
+
+
+def configure_main_settings_class(config):
+
+ default = config["DEFAULT"]
+ Settings.INPUT_FILE = default["input_file"]
+ Settings.LEARN_DIR = default["learn_dir"]
+ Settings.MAX_LEARN_DIR = default["max_learn_dir"]
+ Settings.USE_EXISTING_MODELS = default["use_existing_models"]
+
+ preprocessing = config["PREPROCESSING"]
+ Settings.SET_FEATURES = preprocessing["set_features"]
+ Settings.SET_TARGETS = preprocessing["set_targets"]
+ Settings.SORT_TIME_STAMP = preprocessing["sort_time_stamp"]
+ Settings.CUT_TIME_STAMP = preprocessing["cut_time_stamp"]
+
+ block_processing = config["BLOCK_PROCESSING"]
+ Settings.BLOCK_SIZE = block_processing["block_size"]
+ Settings.MAX_BLOCKS = block_processing["max_blocks"]
+ Settings.STACK_ITERATIONS = block_processing["stack_iterations"]
+ Settings.LEARN_BLOCK_MINIMUM = block_processing["learn_block_minimum"]
+ Settings.SIGMA_ZETA_CUTOFF = block_processing["sigma_zeta_cutoff"]
--
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