restructuring

describe.py → scripts/describe.py

@@ -1,7 +1,7 @@
 import logging
 import pandas as pd
 from pathlib import Path
-from utils import DataLoader, SCAPlotter, TextProcessor, TopicModeling, DATA_ANALYSIS_PATH
+from scripts.utils import DataLoader, SCAPlotter, TextProcessor, TopicModeling, DATA_ANALYSIS_PATH
 
 logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
 

extract.py → scripts/extract.py

@@ -2,18 +2,18 @@ import os
 import pandas as pd
 from pathlib import Path
 from tqdm.notebook import tqdm
-from utils import FileManager, PDFExtractor
+from scripts.utils import FileManager, PDFExtractor
 
-FileManager.unzip_data('../data/raw.zip', '../data')
+FileManager.unzip_data('../raw.zip', '..')
 
 directories = {
   "with_summaries": {
-    "path": Path('../data/raw/with_summaries'),
+    "path": Path('../raw/with_summaries'),
     "columns": ['id', 'type', 'year', 'main_judgement', 'media_summary'],
     "has_summary": True
   },
   "without_summaries": {
-    "path": Path('../data/raw/without_summaries'),
+    "path": Path('../raw/without_summaries'),
     "columns": ['id', 'type', 'year', 'main_judgement'],
     "has_summary": False
   }
@@ -22,6 +22,8 @@ directories = {
 for dir_key, dir_info in directories.items():
   data = []
   pdir = dir_info["path"]
+  output_dir = '../processed' / Path(dir_key)
+  output_dir.mkdir(parents=True, exist_ok=True)
 
   for root, dirs, files in tqdm(os.walk(pdir)):
     if not files:
@@ -43,4 +45,4 @@ for dir_key, dir_info in directories.items():
       continue
 
   df = pd.DataFrame(data, columns=dir_info["columns"])
-  df.to_csv(f'../data/processed/judgments_{dir_key}.tsv', sep='\t', index=False)
+  df.to_csv(f'{output_dir}/judgments.tsv', sep='\t', index=False)

utils.py → scripts/utils.py

@@ -41,15 +41,15 @@ logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(
 
 HOME_DIR = Path("..")
 
-EXTRACTED_DATA_DIR = HOME_DIR / "data"
-RAW_DATA_DIR = EXTRACTED_DATA_DIR / "raw"
-PROCESSED_DATA_DIR = EXTRACTED_DATA_DIR / "processed"
-GLOVE_EMBEDDINGS_FILE = EXTRACTED_DATA_DIR / "glove.6B.100d.txt"
+RAW_DATA_DIR = HOME_DIR / "raw"
+PROCESSED_DATA_DIR = HOME_DIR / "processed"
+GLOVE_EMBEDDINGS_FILE = PROCESSED_DATA_DIR / "glove.6B.100d.txt"
 
 DATA_ANALYSIS_PATH = HOME_DIR / "data_analysis"
 FIGURES_DIR = DATA_ANALYSIS_PATH / "plots"
 
 FIGURES_DIR.mkdir(parents=True, exist_ok=True)
+PROCESSED_DATA_DIR.mkdir(parents=True, exist_ok=True)
 POST_TAGS = ['ADJ','ADP','ADV','CONJ','DET','NOUN','NUM','PRT','PRON','VERB','.','X']