corpus scripts

.gitignore

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+.venv

corpus.csv

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+version https://git-lfs.github.com/spec/v1
+oid sha256:8555bf11c153be9a1f3a24219557a25a8ce385aa43b53ce3ef9829ca81edf730
+size 92900

corpus.tsv

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+version https://git-lfs.github.com/spec/v1
+oid sha256:7bd289635c8b6d6a899cd8c76592338786957b4f272ed6918ae13d03a6485114
+size 92886

corpus.xlsx

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+version https://git-lfs.github.com/spec/v1
+oid sha256:cc98b8e4db4c0f8e56e47a28824211aa6ad35afe876b98a1fd449c587d538ab3
+size 36438

document_to_corpus.py

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+import os
+
+import pandas as pd
+
+BASE_DIR = os.path.join(".")
+
+if __name__ == "__main__":
+    chapters = []
+
+    for root, dirs, files in os.walk(os.path.join(BASE_DIR, "documents")):
+        for file in files:
+            if ".md" in file:
+                with open(os.path.join(root, file), "r", encoding="utf-8") as f:
+                    full_path = os.path.join(root, file)
+                    text = f.read()
+                    lines = text.split("\n")
+                    chapters_indices = [i for i in range(len(lines)) if lines[i].startswith("# ")]
+                    for i in range(len(chapters_indices)):
+                        next_index = chapters_indices[i + 1] if i < len(chapters_indices) - 1 else len(lines)
+
+                        title = lines[chapters_indices[i]][2:].strip()
+
+                        content = '\n'.join(lines[chapters_indices[i] + 1:next_index])
+                        content = '\n'.join(line.rstrip() for line in content.split("\n"))
+                        content = content.rstrip()
+
+                        print(full_path)
+                        chapters.append({
+                            'region': full_path.split('\\')[1],
+                            'topic': full_path.split('\\')[2],
+                            'progress': i+1,
+                            "title": title,
+                            "content": content
+                        })
+
+    print(chapters[0])
+
+    df = pd.DataFrame(chapters).sort_values(by=['region', 'topic', 'progress'])
+    df.to_csv(os.path.join(BASE_DIR, 'corpus.csv'), index=False)
+    df.to_csv(os.path.join(BASE_DIR, 'corpus.tsv'), sep='\t', index=False)
+    df.to_excel(os.path.join(BASE_DIR, 'corpus.xlsx'), index=False)

requirements.txt

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+pandas==2.2.3
+openpyxl==3.1.5