puuuuush
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@@ -31,10 +31,6 @@ def retrieve_file_contents(path):
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return contents
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contents = retrieve_file_contents("C:\\Users\\afist\\Downloads\\SoftwareEng")
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embedding_list = []
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def create_embeddings(pContent):
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conn = psycopg2.connect(
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@@ -49,35 +45,56 @@ def create_embeddings(pContent):
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create_table_query = '''
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create table if not exists dbtable (
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id SERIAL PRIMARY KEY,
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filename TEXT NOT NULL,
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embedding VECTOR NOT NULL
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)
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filepath TEXT NOT NULL,
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embedding VECTOR NOT NULL
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);
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'''
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cur.execute('CREATE EXTENSION IF NOT EXISTS vector;')
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cur.execute(create_table_query)
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cur.execute('CREATE EXTENSION IF NOT EXISTS vector;')
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conn.commit()
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for content in pContent:
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merged_info = "Dateiname: " + content["filename"] + " Dateiinhalt: " + content[
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"content"] # Bessere Embeddings mit Dateiname // Information vorne dran?
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# print(merged_info)
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response = ollama.embeddings(model="mxbai-embed-large", prompt=merged_info)
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#embedding_list.append(response["embedding"])
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insert_data = f'insert into dbtable (filepath, embedding) Values ({content["filepath"]}, {response["embedding"]});'
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cur.execute(insert_data)
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insert_data = f"insert into dbtable (filepath, embedding) Values ('{content['path']}', %s);"
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cur.execute(insert_data, (response["embedding"],))
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conn.commit()
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conn.close()
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def reload_files():
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# path = input("Please provider path to folder: ")
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contents = retrieve_file_contents("C:\\SoftwareEng")
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create_embeddings(contents)
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def add_files():
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path = input("Please provider path to folder: ")
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pass
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def prompt_cycle():
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while True:
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prompt = input("Please enter prompt: ")
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lib.prompt_embedding(prompt)
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create_embeddings(contents)
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def get_user_action():
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user_action = input("Reload Files (r), Add Files (a), Prompt (p): ")
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{
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"r": lambda: reload_files(),
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"a": lambda: add_files(),
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"p": lambda: prompt_cycle()
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}[user_action]()
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get_user_action()
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#print(json.dumps(contents, indent="\t"))
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