Skip to main content

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.

PyPI package version Supported Python versions Linux/macOS CI status Windows CI status Test coverage

Installation

pip install sqliteschema

Usage

Full example 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": [
        {
            "Attribute": "attr_a",
            "Index": false,
            "Type": "INTEGER",
            "PRIMARY KEY": false,
            "NOT NULL": false,
            "UNIQUE": false
        },
        {
            "Attribute": "attr_b",
            "Index": false,
            "Type": "INTEGER",
            "PRIMARY KEY": false,
            "NOT NULL": false,
            "UNIQUE": false
        }
    ],
    "sampletable1": [
        {
            "Attribute": "foo",
            "Index": true,
            "Type": "INTEGER",
            "PRIMARY KEY": false,
            "NOT NULL": false,
            "UNIQUE": false
        },
        {
            "Attribute": "bar",
            "Index": false,
            "Type": "REAL",
            "PRIMARY KEY": false,
            "NOT NULL": false,
            "UNIQUE": false
        },
        {
            "Attribute": "hoge",
            "Index": true,
            "Type": "TEXT",
            "PRIMARY KEY": false,
            "NOT NULL": false,
            "UNIQUE": false
        }
    ],
    "constraints": [
        {
            "Attribute": "primarykey_id",
            "Index": false,
            "Type": "INTEGER",
            "PRIMARY KEY": true,
            "NOT NULL": false,
            "UNIQUE": false
        },
        {
            "Attribute": "notnull_value",
            "Index": false,
            "Type": "REAL",
            "PRIMARY KEY": false,
            "NOT NULL": true,
            "UNIQUE": false
        },
        {
            "Attribute": "unique_value",
            "Index": false,
            "Type": "INTEGER",
            "PRIMARY KEY": false,
            "NOT NULL": false,
            "UNIQUE": true
        }
    ]
}

--- dump a specific table schema with a dictionary ---
{
    "sampletable1": [
        {
            "Attribute": "foo",
            "Index": true,
            "Type": "INTEGER",
            "PRIMARY KEY": false,
            "NOT NULL": false,
            "UNIQUE": false
        },
        {
            "Attribute": "bar",
            "Index": false,
            "Type": "REAL",
            "PRIMARY KEY": false,
            "NOT NULL": false,
            "UNIQUE": false
        },
        {
            "Attribute": "hoge",
            "Index": true,
            "Type": "TEXT",
            "PRIMARY KEY": false,
            "NOT NULL": false,
            "UNIQUE": false
        }
    ]
}

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
|Attribute| Type  |
|---------|-------|
|attr_a   |INTEGER|
|attr_b   |INTEGER|


# sampletable1
|Attribute| Type  |
|---------|-------|
|foo      |INTEGER|
|bar      |REAL   |
|hoge     |TEXT   |


# constraints
|  Attribute  | Type  |
|-------------|-------|
|primarykey_id|INTEGER|
|notnull_value|REAL   |
|unique_value |INTEGER|


--- dump all of the table schemas with a tabular format: verbosity_level=1 ---
# sampletable0
|Attribute| Type  |PRIMARY KEY|NOT NULL|UNIQUE|Index|
|---------|-------|:---------:|:------:|:----:|:---:|
|attr_a   |INTEGER|           |        |      |     |
|attr_b   |INTEGER|           |        |      |     |

# sampletable1
|Attribute| Type  |PRIMARY KEY|NOT NULL|UNIQUE|Index|
|---------|-------|:---------:|:------:|:----:|:---:|
|foo      |INTEGER|           |        |      |  X  |
|bar      |REAL   |           |        |      |     |
|hoge     |TEXT   |           |        |      |  X  |

# constraints
|  Attribute  | Type  |PRIMARY KEY|NOT NULL|UNIQUE|Index|
|-------------|-------|:---------:|:------:|:----:|:---:|
|primarykey_id|INTEGER|     X     |        |      |     |
|notnull_value|REAL   |           |   X    |      |     |
|unique_value |INTEGER|           |        |  X   |     |

--- dump a specific table schema with a tabular format: verbosity_level=0 ---
# sampletable1
|Attribute| Type  |
|---------|-------|
|foo      |INTEGER|
|bar      |REAL   |
|hoge     |TEXT   |

--- dump a specific table schema with a tabular format: verbosity_level=1 ---
# sampletable1
|Attribute| Type  |PRIMARY KEY|NOT NULL|UNIQUE|Index|
|---------|-------|:---------:|:------:|:----:|:---:|
|foo      |INTEGER|           |        |      |  X  |
|bar      |REAL   |           |        |      |     |
|hoge     |TEXT   |           |        |      |  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, attr_b INTEGER)
sampletable1 (foo INTEGER, bar REAL, hoge TEXT)
constraints (primarykey_id INTEGER PRIMARY KEY, notnull_value REAL NOT NULL, unique_value INTEGER UNIQUE)

--- dump all of the table schemas with text format: verbosity_level=4 ---
sampletable0 (
    attr_a INTEGER,
    attr_b INTEGER
)
sampletable1 (
    foo INTEGER,
    bar REAL,
    hoge TEXT
)
constraints (
    primarykey_id INTEGER PRIMARY KEY,
    notnull_value REAL NOT NULL,
    unique_value INTEGER UNIQUE
)

--- 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, bar REAL, hoge TEXT)

--- dump specific table schema with text format: verbosity_level=4 ---
sampletable1 (
    foo INTEGER,
    bar REAL,
    hoge TEXT
)

Dependencies

Python 2.7+ or 3.4+

Optional dependencies

  • logbook
    • Logging using logbook if the package installed

  • pytablewriter
    • Required when getting table schemas with tabular text by dumps method

Test dependencies

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sqliteschema-0.14.1.tar.gz (15.4 kB view hashes)

Uploaded Source

Built Distribution

sqliteschema-0.14.1-py2.py3-none-any.whl (12.0 kB view hashes)

Uploaded Python 2 Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page