re-add indexer

.gitignore

@@ -5,5 +5,4 @@ all
 dictionary
 *.txt
 trash
-*.py
 urls

index.py

@@ -0,0 +1,94 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+
+"""
+  Simple script to generate metadata about corpus.
+"""
+
+__author__  = "Amittai Siavava"
+__version__ = "0.0.1"
+
+from os import mkdir
+from collections import Counter
+import csv
+import pandas as pd
+
+def index_pages():
+  """
+    Generate a friendly index of the pages.
+
+    We create a csv and a tsv (in case one proves more convenient than the other).
+  """
+  docID = 0
+
+  with open("raw.csv", "w") as csv_file, open("urls", "w") as urls:
+    writer = csv.writer(csv_file)
+    writer.writerow(["id", "year", "title", "url", "text"])
+    while True:
+      try:
+        with open(f"../log/{docID}", "r") as meta, open(f"../log/{docID}.txt", "r") as data:
+          title = meta.readline().strip()
+          year = meta.readline().strip()
+          url = meta.readline().strip()
+          text = data.read()
+
+          meta.close()
+          data.close()
+
+          if year and 2000 <= int(year) <= 2023:
+
+            print(f"Indexing: {docID}")
+            writer.writerow([docID, year, f'"{title}"', f'"{url}"', f'"{text}"'])
+            # urls.write(f"{url}\n")
+          docID += 1
+      except Exception as e:
+        print(e)
+        break
+        
+  print("Done.")
+  print(f"okay...")
+  # save to file
+  
+  # df = pd.read_csv("raw.csv")
+  print("Done.")
+
+def categorize():
+  """
+    Categorize the pages by year.
+  """
+
+  docID = 0
+  years = Counter()
+  years_index = { str(year) for year in range(2000, 2024)}
+  while True:
+    try:
+      with open(f"../log/{docID}.txt", "r") as doc, open(f"../log/{docID}", "r") as meta:
+        title = meta.readline().strip()
+        year = meta.readline().strip()
+        url = meta.readline().strip()
+        text = doc.read()
+        doc.close()
+        meta.close()
+
+        if year in years_index:
+          try:
+            mkdir(f"../categorized/{year}")
+          except:
+            pass
+
+          id = years[year]
+          with open(f"../categorized/{year}/{id}.txt", "w") as f:
+            f.write(f"{title}\n{year}\n{url}\n\n{text}")
+            f.close()
+          years[year] += 1
+
+        docID += 1
+        
+    except:
+      break
+
+
+if __name__ == "__main__":
+  index_pages()
+  # categorize()
+  # load_data()