![]() ![]() ![]() Pass table name and row id as: db.delete_data(, )Įxample: db. Returns: Success message(dict): If the update was successful else none Create table schema on db_config.json file as:.I thought it could be useful to others too and here it is. It significantly helped to minimize errors. Therefore, I created a separate helper Class that takes in a JSON object and parses it to create tables and do CRUD operations according to the instruction defined in that JSON object. I feel that it is very easy to make typos and errors while creating multiple tables and doing some CRUD operations. ![]() I'm working on another Python project that requires me to store a very minimal amount of data so I decided to use SQLite as a database. This package is developed using Python 3 with no external dependencies.īackground ( Why this package was developed?) To convert to json, whether its one row or cursor.fetchall(): import json jsondata json.dumps(data) or use json.dump(somefileobject, data) if you want to store it to a file. Query = query.format(",".join(columns), ",?" * len(columns))įor timestamp, data in traffic.A Python helper package to do SQLite CRUD operation via JSON object. Query = "insert into medicoes (timestamp,)" You could use it with something like this: import json Query = "insert into medicoes values (?,?,?,?,?,?,?)"Įdit: if you don't want to hard-code the list of columns, you could do something like this: import json You could add the necessary sqlite code with something like this: import json Which would seem to be the tuples you require. When I run this with your sample data, I get: (u' 08:38', u'R. Keys = (timestamp,) + tuple(data for c in columns) Consider the following python code: import jsonĬolumns = įor timestamp, data in eritems(): Now all you need to make this work is for keys to be a tuple (or list) containing the values for the new row of the medicoes table in the correct order. Since the % operator expects the string to its left to contain formatting codes. Which I think should be c.execute("insert into medicoes values (?,?,?,?,?,?,?)", keys) You have this python code: c.execute("insert into medicoes values(?,?,?,?,?,?,?)" % keys) I have a fair experience with Python, but am just beginning with SQL, so I would like to have some counseling about good practices, and not necessarily a ready recipe. So, I ask: "which strategy/method should I use to programmatically read the keys from each "block" in the JSON file (in this case, "local", "coord", "sentido", "veiculos", "modalidade", "regime", "pistas" e "medicoes"), create the database with the columns in that same order, and then insert the rows with the proper values"? Fernandes Vieira esquina Protásio Alves",Īnd I have created nice database with a one-to-many relation with these lines of Python code: import sqlite3įoreign key (id) references medicoes(timestamp))''')īUT the problem is, when I was preparing to insert the rows with actual data with something like c.execute("insert into medicoes values(?,?,?,?,?,?,?)" % keys), I realized that, since the dict loaded from the JSON file has no special order, it does not map properly to the column order of the database. My json file is like this (containing traffic data from some crossroads in my city). My intention is to decide later which data container and entry point is best, json (data entry via text editor) or SQLite (data entry via spreadsheet-like GUIs like SQLiteStudio). ![]() I want to convert a JSON file I created to a SQLite database. ![]()
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