| | import pandas as pd
|
| | import sqlite3
|
| | import csv
|
| | import json
|
| | import time
|
| | import os
|
| | import re
|
| | from utils import TEMP_DIR
|
| |
|
| | def is_file_done_saving(file_path):
|
| | try:
|
| | with open(file_path, 'r') as f:
|
| | contents = f
|
| |
|
| | if contents:
|
| | return True
|
| | else:
|
| | return False
|
| | except PermissionError:
|
| | return False
|
| |
|
| | def get_delimiter(file_path, bytes = 4096):
|
| | sniffer = csv.Sniffer()
|
| | data = open(file_path, "r").read(bytes)
|
| | delimiter = sniffer.sniff(data).delimiter
|
| | return delimiter
|
| |
|
| | def read_file(file):
|
| | if file.endswith(('.csv', '.tsv', '.txt')) :
|
| | df = pd.read_csv(file, sep=get_delimiter(file))
|
| | elif file.endswith('.json'):
|
| | with open(file, 'r') as f:
|
| | contents = json.load(f)
|
| | df = pd.json_normalize(contents)
|
| | elif file.endswith('.ndjson'):
|
| | with open(file, 'r') as f:
|
| | contents = f.read()
|
| | data = [json.loads(str(item)) for item in contents.strip().split('\n')]
|
| | df = pd.json_normalize(data)
|
| | elif file.endswith('.xml'):
|
| | df = pd.read_xml(file)
|
| | elif file.endswith(('.xls','xlsx')):
|
| | df = pd.read_excel(file)
|
| | else:
|
| | raise ValueError(f'Unsupported filetype: {file}')
|
| | return df
|
| |
|
| | def process_data_upload(data_file, session_hash):
|
| | try:
|
| | total_time = 0
|
| | while not is_file_done_saving(data_file):
|
| | total_time += .5
|
| | time.sleep(.5)
|
| | if total_time > 10:
|
| | break
|
| |
|
| | df = read_file(data_file)
|
| |
|
| |
|
| |
|
| |
|
| |
|
| | df.columns = df.columns.str.replace(' ', '_')
|
| | df.columns = df.columns.str.replace('/', '_')
|
| |
|
| | for column in df.columns:
|
| | if type(column) is str:
|
| | pattern = 'year|month|date|day|time'
|
| | if re.search(pattern, column.lower()):
|
| | try:
|
| | df[column] = pd.to_datetime(df[column])
|
| | except:
|
| | pass
|
| | if df[column].dtype == 'object' and isinstance(df[column].iloc[0], list):
|
| | df[column] = df[column].explode()
|
| |
|
| | session_path = 'file_upload'
|
| |
|
| | dir_path = TEMP_DIR / str(session_hash) / str(session_path)
|
| | os.makedirs(dir_path, exist_ok=True)
|
| |
|
| | connection = sqlite3.connect(f'{dir_path}/data_source.db')
|
| | print("Opened database successfully");
|
| | print(df.columns)
|
| |
|
| | df.to_sql('data_source', connection, if_exists='replace', index = False)
|
| |
|
| | connection.commit()
|
| | connection.close()
|
| |
|
| | return ["success","<p style='color:green;text-align:center;font-size:18px;'>Data upload successful</p>"]
|
| | except Exception as e:
|
| | print("UPLOAD ERROR")
|
| | print(e)
|
| | return ["error",f"<p style='color:red;text-align:center;font-size:18px;font-weight:bold;'>ERROR: {e}</p>"] |
