A Python library to dump table schema of a SQLite database file.
Project description
Summary
sqliteschema is a Python library to dump table schema of a SQLite database file.
Installation
Install from PyPI
pip install sqliteschema
Install optional dependencies
pip install sqliteschema[dumps] # to use dumps method pip install sqliteschema[logging] # to use logging
Install from PPA (for Ubuntu)
sudo add-apt-repository ppa:thombashi/ppa sudo apt update sudo apt install python3-sqliteschema
Usage
Full example source code can be found at examples/get_table_schema.py
Extract SQLite Schemas as dict
- Sample Code:
import json import sqliteschema extractor = sqliteschema.SQLiteSchemaExtractor(sqlite_db_path) print("--- dump all of the table schemas with a dictionary ---\n{}\n".format( json.dumps(extractor.fetch_database_schema_as_dict(), indent=4))) print("--- dump a specific table schema with a dictionary ---\n{}\n".format( json.dumps(extractor.fetch_table_schema("sampletable1").as_dict(), indent=4)))
- Output:
--- dump all of the table schemas with a dictionary --- { "sampletable0": [ { "Field": "attr_a", "Index": false, "Type": "INTEGER", "Null": "YES", "Key": "", "Default": "NULL", "Extra": "" }, { "Field": "attr_b", "Index": false, "Type": "INTEGER", "Null": "YES", "Key": "", "Default": "NULL", "Extra": "" } ], "sampletable1": [ { "Field": "foo", "Index": true, "Type": "INTEGER", "Null": "YES", "Key": "", "Default": "NULL", "Extra": "" }, { "Field": "bar", "Index": false, "Type": "REAL", "Null": "YES", "Key": "", "Default": "NULL", "Extra": "" }, { "Field": "hoge", "Index": true, "Type": "TEXT", "Null": "YES", "Key": "", "Default": "NULL", "Extra": "" } ], "constraints": [ { "Field": "primarykey_id", "Index": true, "Type": "INTEGER", "Null": "YES", "Key": "PRI", "Default": "NULL", "Extra": "" }, { "Field": "notnull_value", "Index": false, "Type": "REAL", "Null": "NO", "Key": "", "Default": "", "Extra": "" }, { "Field": "unique_value", "Index": true, "Type": "INTEGER", "Null": "YES", "Key": "UNI", "Default": "NULL", "Extra": "" } ] } --- dump a specific table schema with a dictionary --- { "sampletable1": [ { "Field": "foo", "Index": true, "Type": "INTEGER", "Null": "YES", "Key": "", "Default": "NULL", "Extra": "" }, { "Field": "bar", "Index": false, "Type": "REAL", "Null": "YES", "Key": "", "Default": "NULL", "Extra": "" }, { "Field": "hoge", "Index": true, "Type": "TEXT", "Null": "YES", "Key": "", "Default": "NULL", "Extra": "" } ] }
Extract SQLite Schemas as Tabular Text
Table schemas can be output with dumps method. dumps method requires an extra package and that can install as follows:
pip install sqliteschema[dumps]
Usage is as follows:
- Sample Code:
import sqliteschema extractor = sqliteschema.SQLiteSchemaExtractor(sqlite_db_path) for verbosity_level in range(2): print("--- dump all of the table schemas with a tabular format: verbosity_level={} ---".format( verbosity_level)) print(extractor.dumps(output_format="markdown", verbosity_level=verbosity_level)) for verbosity_level in range(2): print("--- dump a specific table schema with a tabular format: verbosity_level={} ---".format( verbosity_level)) print(extractor.fetch_table_schema("sampletable1").dumps( output_format="markdown", verbosity_level=verbosity_level))
- Output:
--- dump all of the table schemas with a tabular format: verbosity_level=0 --- # sampletable0 | Field | Type | | ------ | ------- | | attr_a | INTEGER | | attr_b | INTEGER | # sampletable1 | Field | Type | | ----- | ------- | | foo | INTEGER | | bar | REAL | | hoge | TEXT | # constraints | Field | Type | | ------------- | ------- | | primarykey_id | INTEGER | | notnull_value | REAL | | unique_value | INTEGER | --- dump all of the table schemas with a tabular format: verbosity_level=1 --- # sampletable0 | Field | Type | Null | Key | Default | Index | Extra | | ------ | ------- | ---- | --- | ------- | :---: | ----- | | attr_a | INTEGER | YES | | NULL | | | | attr_b | INTEGER | YES | | NULL | | | # sampletable1 | Field | Type | Null | Key | Default | Index | Extra | | ----- | ------- | ---- | --- | ------- | :---: | ----- | | foo | INTEGER | YES | | NULL | X | | | bar | REAL | YES | | NULL | | | | hoge | TEXT | YES | | NULL | X | | # constraints | Field | Type | Null | Key | Default | Index | Extra | | ------------- | ------- | ---- | --- | ------- | :---: | ----- | | primarykey_id | INTEGER | YES | PRI | NULL | X | | | notnull_value | REAL | NO | | | | | | unique_value | INTEGER | YES | UNI | NULL | X | | --- dump a specific table schema with a tabular format: verbosity_level=0 --- # sampletable1 | Field | Type | | ----- | ------- | | foo | INTEGER | | bar | REAL | | hoge | TEXT | --- dump a specific table schema with a tabular format: verbosity_level=1 --- # sampletable1 | Field | Type | Null | Key | Default | Index | Extra | | ----- | ------- | ---- | --- | ------- | :---: | ----- | | foo | INTEGER | YES | | NULL | X | | | bar | REAL | YES | | NULL | | | | hoge | TEXT | YES | | NULL | X | |
Extract SQLite Schemas as Text
- Sample Code:
import sqliteschema extractor = sqliteschema.SQLiteSchemaExtractor(sqlite_db_path) for verbosity_level in range(5): print("--- dump all of the table schemas with text format: verbosity_level={} ---".format( verbosity_level)) print(extractor.dumps(output_format="text", verbosity_level=verbosity_level) + "\n") for verbosity_level in range(5): print("--- dump specific table schema with text format: verbosity_level={} ---".format( verbosity_level)) print(extractor.fetch_table_schema("sampletable1").dumps( output_format="text", verbosity_level=verbosity_level) + "\n")
- Output:
--- dump all of the table schemas with text format: verbosity_level=0 --- sampletable0 sampletable1 constraints --- dump all of the table schemas with text format: verbosity_level=1 --- sampletable0 (attr_a, attr_b) sampletable1 (foo, bar, hoge) constraints (primarykey_id, notnull_value, unique_value) --- dump all of the table schemas with text format: verbosity_level=2 --- sampletable0 (attr_a INTEGER, attr_b INTEGER) sampletable1 (foo INTEGER, bar REAL, hoge TEXT) constraints (primarykey_id INTEGER, notnull_value REAL, unique_value INTEGER) --- dump all of the table schemas with text format: verbosity_level=3 --- sampletable0 (attr_a INTEGER Null, attr_b INTEGER Null) sampletable1 (foo INTEGER Null, bar REAL Null, hoge TEXT Null) constraints (primarykey_id INTEGER Key Null, notnull_value REAL Null, unique_value INTEGER Key Null) --- dump all of the table schemas with text format: verbosity_level=4 --- sampletable0 ( attr_a INTEGER Null, attr_b INTEGER Null ) sampletable1 ( foo INTEGER Null, bar REAL Null, hoge TEXT Null ) constraints ( primarykey_id INTEGER Key Null, notnull_value REAL Null, unique_value INTEGER Key Null ) --- dump specific table schema with text format: verbosity_level=0 --- sampletable1 --- dump specific table schema with text format: verbosity_level=1 --- sampletable1 (foo, bar, hoge) --- dump specific table schema with text format: verbosity_level=2 --- sampletable1 (foo INTEGER, bar REAL, hoge TEXT) --- dump specific table schema with text format: verbosity_level=3 --- sampletable1 (foo INTEGER Null, bar REAL Null, hoge TEXT Null) --- dump specific table schema with text format: verbosity_level=4 --- sampletable1 ( foo INTEGER Null, bar REAL Null, hoge TEXT Null )
CLI Usage
- Sample Code:
python3 -m sqliteschema example.sqlite3
Dependencies
Optional dependencies
- loguru
Used for logging if the package installed
- pytablewriter
Required when getting table schemas with tabular text by dumps method
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
sqliteschema-1.4.0.tar.gz
(20.7 kB
view hashes)
Built Distribution
Close
Hashes for sqliteschema-1.4.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 14084d0795b6921d1768a13d72ceedc848ef649413430f083d22793a6ad0f06f |
|
MD5 | bfa0838d53dc97b0e48b74b990dca911 |
|
BLAKE2b-256 | c31b43226c41f064893fb67b1251b2145ace38db3fcf45fa1fd100c37153cd06 |