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import pandas as pd
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import sqlite3
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import csv
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import json
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import time
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import os
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from utils import TEMP_DIR
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def is_file_done_saving(file_path):
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try:
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with open(file_path, 'r') as f:
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contents = f
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if contents:
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return True
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else:
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return False
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except PermissionError:
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return False
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def get_delimiter(file_path, bytes = 4096):
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sniffer = csv.Sniffer()
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data = open(file_path, "r").read(bytes)
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delimiter = sniffer.sniff(data).delimiter
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return delimiter
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def read_file(file):
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if file.endswith(('.csv', '.tsv', '.txt')) :
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df = pd.read_csv(file, sep=get_delimiter(file))
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elif file.endswith('.json'):
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with open(file, 'r') as f:
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contents = json.load(f)
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df = pd.json_normalize(contents)
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elif file.endswith('.ndjson'):
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with open(file, 'r') as f:
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contents = f.read()
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data = [json.loads(str(item)) for item in contents.strip().split('\n')]
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df = pd.json_normalize(data)
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elif file.endswith('.xml'):
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df = pd.read_xml(file)
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elif file.endswith(('.xls','xlsx')):
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df = pd.read_excel(file)
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else:
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raise ValueError(f'Unsupported filetype: {file}')
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return df
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def process_data_upload(data_file, session_hash):
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total_time = 0
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while not is_file_done_saving(data_file):
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total_time += .5
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time.sleep(.5)
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if total_time > 10:
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break
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df = read_file(data_file)
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df.columns = df.columns.str.replace(' ', '_')
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df.columns = df.columns.str.replace('/', '_')
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for column in df.columns:
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if "date" in column.lower() or "time" in column.lower():
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df[column] = pd.to_datetime(df[column])
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if df[column].dtype == 'object' and isinstance(df[column].iloc[0], list):
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df[column] = df[column].explode()
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dir_path = TEMP_DIR / str(session_hash)
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os.makedirs(dir_path, exist_ok=True)
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connection = sqlite3.connect(f'{dir_path}/data_source.db')
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print("Opened database successfully");
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print(df.columns)
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df.to_sql('data_source', connection, if_exists='replace', index = False)
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connection.commit()
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connection.close() |
