Spaces:
Running
Running
init
Browse files- app.py +10 -18
- src/index.html +1 -1
- utils/file_reader.py +100 -0
- utils/handle_file.py +23 -157
app.py
CHANGED
@@ -11,30 +11,22 @@ app.config['MAX_CONTENT_LENGTH'] = 11 * 1024 * 1024
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def index():
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return send_file('src/index.html')
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@app.route('/upload', methods=['POST'])
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def upload():
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try:
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allowed_chars = request.args.get(
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if 'file' not in request.files and 'files' not in request.files:
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return jsonify({"error": "No files uploaded"}), 400
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if not files or not files[0].filename:
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return jsonify({"error": "No files selected"}), 400
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if len(files) == 1:
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return file_handler.process_file(files[0], allowed_chars)
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else:
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return file_handler.process_files(files, allowed_chars)
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except Exception as e:
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return jsonify({"error": f"An error occurred: {e}"}), 500
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@app.route('/embedding')
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def embedding():
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return rag.generate_embedding(
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text=request.json.get("text"),
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def index():
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return send_file('src/index.html')
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@app.route('/upload', methods=["POST"])
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def upload():
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try:
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allowed_chars = request.args.get("allowed_chars")
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if 'files' not in request.files:
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return jsonify({"error": "No files uploaded"}), 400
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files = request.files.getlist('files')
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return file_handler.handle_files(files=files,allowed_chars=allowed_chars)
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except Exception as e:
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return jsonify({"error": f"An error occurred: {e} "}), 500
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@app.route('/embedding', methods=['POST'])
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def embedding():
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return rag.generate_embedding(
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text=request.json.get("text"),
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src/index.html
CHANGED
@@ -7,7 +7,7 @@
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</head>
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<body>
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<h1>API key is not
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<h1>Clone this space and use your own gemini api key</h1>
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</body>
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</html>
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</head>
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<body>
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<h1>API key is not configured</h1>
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<h1>Clone this space and use your own gemini api key</h1>
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</body>
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</html>
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utils/file_reader.py
ADDED
@@ -0,0 +1,100 @@
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import io
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import pdfplumber
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import pandas as pd
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import json
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from docx import Document
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from openpyxl import load_workbook
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import re
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import uuid
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class FileReader:
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def __init__(self):
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self.allowed_files = ["txt", "pdf", "docx", "md", "json", "csv", "xlsx", "xls"]
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self.max_chars_per_file = 5000000
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def calc_chars(self, files, allowed_chars):
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total_chars = 0
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clean_contents = []
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for file in files:
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file_extension = file.filename.split('.')[-1].lower()
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if file_extension not in self.allowed_files:
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return {"error": "unsupported file type uploaded"}, 400
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try:
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if file_extension == 'txt' or file_extension=="md":
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text = self._read_txt(file)
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elif file_extension == 'pdf':
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text = self._read_pdf(file)
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elif file_extension == 'docx':
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text = self._read_docx(file)
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elif file_extension == 'json':
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text = self._read_json(file)
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elif file_extension == 'csv':
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text = self._read_csv(file)
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elif file_extension in ['xlsx', 'xls']:
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text = self._read_excel(file)
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if(len(text)>self.max_chars_per_file):
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return {"error": "max 5 million characters per file allowed."} , 400
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clean_contents.append({
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"type": file_extension,
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"content": text,
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"name": file.filename,
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"id": str(uuid.uuid4()),
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"total_chars": len(text)
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})
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total_chars += len(text)
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if(total_chars>int(allowed_chars)):
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return {"error": "Total allowed characters limit reached"}, 400
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except Exception as e:
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return {"error": f"Error reading file {file.filename}: {e}"}, 500
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return {"total_chars": total_chars, "clean_contents": clean_contents}, 200
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def _read_txt(self, file):
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file_content = file.read().decode("utf-8")
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return self._clean_text(file_content)
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def _read_pdf(self, file):
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with pdfplumber.open(file) as pdf:
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text = ''
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for page in pdf.pages:
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text += page.extract_text() or ''
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return self._clean_text(text)
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def _read_docx(self, file):
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doc = Document(file)
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text = ''
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for para in doc.paragraphs:
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text += para.text + "\n"
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return self._clean_text(text)
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def _read_json(self, file):
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content = json.load(file)
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text = json.dumps(content, ensure_ascii=False)
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return self._clean_text(text)
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def _read_csv(self, file):
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df = pd.read_csv(file)
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text = df.to_string(index=False)
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return self._clean_text(text)
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def _read_excel(self, file):
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wb = load_workbook(file)
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text = ''
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for sheet in wb.sheetnames:
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ws = wb[sheet]
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for row in ws.iter_rows(values_only=True):
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text += ' | '.join(str(cell) if cell is not None else '' for cell in row) + "\n"
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return self._clean_text(text)
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def _clean_text(self, text):
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text = re.sub(r'\s+', ' ', text)
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text = re.sub(r'[^\x00-\x7F]+', '', text)
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text = text.strip()
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return text
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file_reader = FileReader()
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utils/handle_file.py
CHANGED
@@ -1,166 +1,32 @@
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1 |
-
import
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import pdfplumber
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import pandas as pd
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import json
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from docx import Document
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from rag.RAG import rag
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from openpyxl import load_workbook
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MAX_CHARS_PER_FILE = 5000000 # 5 million characters per file limit
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class FileHandler:
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def __init__(self):
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'pdf': self._read_pdf,
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'txt': self._read_txt,
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'docx': self._read_docx,
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'csv': self._read_csv,
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'xlsx': self._read_excel,
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'xls': self._read_excel,
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'json': self._read_json
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}
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def _validate_params(self, allowed_chars):
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if not allowed_chars:
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return None
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try:
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return int(allowed_chars)
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except ValueError:
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raise ValueError("allowed_size parameter must be an integer")
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def _validate_file(self, file):
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if not file or file.filename == '':
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raise ValueError("No file selected")
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extension = file.filename.rsplit('.', 1)[1].lower() if '.' in file.filename else ''
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if extension not in ALLOWED_EXTENSIONS:
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raise ValueError(f"File type not allowed. Supported types: {', '.join(ALLOWED_EXTENSIONS)}")
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return extension
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def _check_char_limit(self, text):
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if len(text.strip()) > MAX_CHARS_PER_FILE:
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raise ValueError(f"File exceeds the maximum character limit of {MAX_CHARS_PER_FILE} characters")
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return text.strip()
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def _read_pdf(self, file):
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try:
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text = ""
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with pdfplumber.open(file) as pdf:
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for page in pdf.pages:
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page_text = page.extract_text(layout=True)
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if page_text:
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text += page_text.strip()
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return self._check_char_limit(text)
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except Exception as e:
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raise ValueError(f"Error reading PDF: {e}")
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def _read_txt(self, file):
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try:
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text = file.read().decode("utf-8")
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return self._check_char_limit(text)
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except Exception as e:
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raise ValueError(f"Error reading TXT: {e}")
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def _read_docx(self, file):
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try:
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doc = Document(file)
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text = "\n".join(paragraph.text.strip() for paragraph in doc.paragraphs)
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return self._check_char_limit(text)
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except Exception as e:
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raise ValueError(f"Error reading DOCX: {e}")
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def
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try:
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-
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raise ValueError(f"Error reading CSV: {e}")
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def _read_excel(self, file):
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try:
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all_text = []
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workbook = load_workbook(filename=file)
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for sheet_name in workbook.sheetnames:
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sheet = workbook[sheet_name]
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sheet_text = f"Sheet: {sheet_name}\n"
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-
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for row in sheet.iter_rows(values_only=True):
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row_text = " | ".join([str(cell) if cell is not None else "" for cell in row])
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sheet_text += row_text + "\n"
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-
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all_text.append(sheet_text)
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-
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text = "\n\n".join(all_text)
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return self._check_char_limit(text)
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except Exception as e:
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raise ValueError(f"Error reading Excel: {e}")
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-
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def _read_json(self, file):
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try:
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data = json.load(file)
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text = json.dumps(data, indent=2)
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return self._check_char_limit(text)
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except Exception as e:
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raise ValueError(f"Error reading JSON: {e}")
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def read_file(self, file):
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extension = self._validate_file(file)
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return self.file_handlers[extension](file)
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-
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114 |
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def process_file(self, file, allowed_chars):
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try:
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allowed_limit = self._validate_params(allowed_chars)
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content = self.read_file(file)
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120 |
-
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122 |
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except ValueError as e:
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return {"error": str(e)}, 400
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except Exception as e:
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return {"error": f"Unexpected error: {e}"}, 500
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-
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128 |
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def process_files(self, files, allowed_chars):
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try:
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allowed_limit = self._validate_params(allowed_chars)
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file_contents = []
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total_chars = 0
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133 |
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for file in files:
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try:
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content = self.read_file(file)
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file_contents.append((file.filename, content))
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137 |
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total_chars += len(content)
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138 |
-
except ValueError as e:
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139 |
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return {"error": f"Error with file '{file.filename}': {str(e)}"}, 400
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140 |
-
if total_chars > allowed_limit:
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return {"error": f"Total character count ({total_chars}) exceeds the allowed limit ({allowed_limit})"}, 400
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-
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results = []
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for filename, content in file_contents:
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embedding_result, status_code = rag.generate_embedding(content)
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146 |
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if status_code != 200:
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return embedding_result, status_code
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"
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"
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"
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"file_count": len(files),
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"results": results
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159 |
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}, 200
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160 |
-
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161 |
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except ValueError as e:
|
162 |
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return {"error": str(e)}, 400
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163 |
except Exception as e:
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164 |
-
return {"error": f"
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165 |
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166 |
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file_handler =
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1 |
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from utils.file_reader import file_reader
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2 |
from rag.RAG import rag
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3 |
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class HandleFiles:
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def __init__(self):
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pass
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7 |
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def handle_files(self,files,allowed_chars):
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9 |
try:
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result = {}
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11 |
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content,status_code = file_reader.calc_chars(files,allowed_chars)
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if(status_code!=200):
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return content,status_code
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for text_dict in content['clean_contents']:
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16 |
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embedding, status_code = rag.generate_embedding(text_dict['content'])
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17 |
+
if(status_code!=200):
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return embedding,status_code
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19 |
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result[str(text_dict['id'])] = {
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21 |
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"name": text_dict['name'],
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22 |
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"type": text_dict['type'],
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23 |
+
"total_chars": text_dict['total_chars'],
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24 |
+
"embedding": embedding['embeddings'],
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25 |
+
"chunks": embedding['chunks']
|
26 |
+
}
|
27 |
+
return result
|
|
|
|
|
|
|
|
|
|
|
|
|
28 |
except Exception as e:
|
29 |
+
return {"error": f"an error occured: {e}"}, 500
|
30 |
+
|
31 |
|
32 |
+
file_handler = HandleFiles()
|