SQL-like interface to tabular structured data
Project description
tSQLike
SQL-like interface to tabular structured data
Not that early stage, but still in development: may contain bugs
Description
tSQLike is a Python3 module that is written with a hope to make tabular data process easier using SQL-like primitives.
Usage
from tsqlike import tsqlike
t1 = tsqlike.Table(data=[['h1', 'h2', 'h3', 'h4'],
['a', 'b', 'c', 'd'],
['b', 'c', 'd', 'd'],
['f', 'g', 'h', 'i']],
name='first')
t2 = tsqlike.Table().import_list_dicts(data=[{'h1': 1, 'h2': 2, 'h3': 3},
{'h1': 'd', 'h2': 'e', 'h3': 'f'}],
name='second')
t3 = t1.join(t2, on='first.h4 == second.h1').select('*').order_by('second.h2', direction=tsqlike.ORDER_BY_DEC)
t3.write_csv(dialect='unix')
"first.h1", "first.h2", "first.h3", "first.h4", "second.h1", "second.h2", "second.h3"
"b", "c", "d", "d", "d", "e", "f"
"a", "b", "c", "d", "d", "e", "f"
Installation
pip install tsqlike
Functionality
Table class
The main class of the module
Data processing methods
Name | Status | Description |
---|---|---|
join |
☑ | Join two Tables (self and table ) on an expression * |
join_lt |
☑ | Light, limited and safe Join, that doesn't use eval() |
select |
☑ | Select column(s) from the Table * |
select_lt |
☑ | eval() -free version of select |
order_by |
☑ | ORDER BY primitive of SQL SELECT to sort the Table by a column |
group_by |
☑ | GROUP BY primitive of SQL SELECT to apply aggregate function on a column |
Import methods
Name | Status | Description |
---|---|---|
import_dict_lists |
☑ | Import a dictionary of lists into Table object |
import_list_dicts |
☑ | Import a list of horizontal arranged dictionaries into the Table |
import_list_lists |
☑ | Import list(list_1(), list_n()) with optional first row as the header |
Export methods
Name | Status | Description |
---|---|---|
export_dict_lists |
☑ | Export a dictionary of lists |
export_list_dicts |
☑ | Export list of dictionaries |
export_list_lists |
☑ | Export list(list_1(), list_n()) with optional first row as the header |
Write methods
Name | Status | Description |
---|---|---|
write_csv |
☑ | Make CSV from the Table object and write it to a file or stdout |
write_json |
☑ | Write JSON into file or STDOUT * |
write_json_lt |
☑ | eval() -free version of Table.write_json |
write_xml |
☐ | Write XML . NB: Do we need this? |
Private methods
Name | Status | Description |
---|---|---|
_redimension |
☑ | Recalculate dimensions of the Table.table |
EvalCtrl class
Controls what arguments are available to eval()
function
Name | Status | Description |
---|---|---|
blacklisted |
☑ | Checks if there is any of the blacklised words in stanza |
blacklist_add |
☑ | Add a new word into the black list |
blacklist_remove |
☑ | Remove the word from the blacklist |
Standalone functions
Name | Status | Description |
---|---|---|
open_file |
☑ | Open a file |
close_file |
☑ | Close a file |
read_json |
☑ | Read JSON file |
read_csv |
☑ | Read CSV file |
read_xml |
☐ | Read XML . NB: Do we need XML support? |
WARNING!
Methods Table.join(on=)
, Table.select(where=)
and Table.write_json(export_f=)
, use eval()
function
to run specified expressions within the program. ANY expression, including one that is potentially DANGEROUS
from security point of view, can be passed as the values of the above arguments. It is your duty to ensure correctness
and safety of these arguments and EvalCtrl
helps to block potentially dangerous function/method names.
Alternatively you can use Table.join_lt()
, Table.select_lt()
and Table.write_json()
. They are significantly less
powerful, but do not use eval()
.
Contacts
If you have an idea, a question, or have found a problem, do not hesitate to open an issue or mail me directly: Mikhail Zakharov zmey20000@yahoo.com
Project details
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