pyfreedb 1.0.4

PyFreeDB is a Python library that provides common and simple database abstractions on top of Google Sheets.

PyFreeDB

Ship Faster with Google Sheets as a Database!

PyFreeDB is a Python library that provides common and simple database abstractions on top of Google Sheets.

Features

1. Provide a straightforward key-value and row based database interfaces on top of Google Sheets.
2. Serve your data without any server setup (by leveraging Google Sheets infrastructure).
3. Support flexible enough query language to perform various data queries.
4. Manually manipulate data via the familiar Google Sheets UI (no admin page required).

For more details, please read our analysis on other alternatives and how it compares with FreeDB.

Table of Contents

• Protocols
• Getting Started
  • Installation
  • Pre-requisites
• Row Store
  • Querying Rows
  • Counting Rows
  • Inserting Rows
  • Updating Rows
  • Deleting Rows
  • Model Field to Column Mapping
• KV Store
  • Get Value
  • Set Key
  • Delete Key
  • Supported Modes

Protocols

Clients are strongly encouraged to read through the protocols document to see how things work under the hood and the limitations.

Getting Started

Installation

pip install pyfreedb

Pre-requisites

1. Obtain a Google OAuth2 or Service Account credentials.
2. Prepare a Google Sheets spreadsheet where the data will be stored.

Row Store

Let's assume each row in the table is represented by the Person object.

from pyfreedb.row import models

class Person(models.Model):
    name = models.StringField()
    age = models.IntegerField()

from pyfreedb.providers.google.auth import ServiceAccountGoogleAuthClient, OAuth2GoogleAuthClient
from pyfreedb.row import GoogleSheetRowStore, AUTH_SCOPES

# If using Google Service Account.
auth_client = ServiceAccountGoogleAuthClient.from_service_account_file(
    "<path_to_service_account_json>",
    scopes=AUTH_SCOPES,
)

# If using Google OAuth2 Flow.
auth_client = OAuth2GoogleAuthClient.from_authorized_user_file(
    "<path_to_cached_credentials_json>",
    client_secret_filename="<path_to_client_secret_json>",
    scopes=AUTH_SCOPES,
)

store = GoogleSheetRowStore(
    auth_client,
    spreadsheet_id="<spreadsheet_id>",
    sheet_name="<sheet_name>",
    object_cls=Person,
)

Querying Rows

# Select all columns of all rows.
rows = store.select().execute()

# Select a few columns for all rows (non-selected struct fields will have default value).
rows = store.select("name").execute()

# Select rows with conditions.
rows = store.select().where("name = ? OR age >= ?", "freedb", 10).execute()

# Select rows with sorting/order by.
from pyfreedb.row import Ordering

rows = store.select().order_by(Ordering.ASC("name"), Ordering.DESC("age")).execute()

# Select rows with offset and limit
rows = store.select().offset(10).limit(20).execute()

Counting Rows

# Count all rows.
count = store.count().execute()

# Count rows with conditions.
count = store.count().where("name = ? OR age >= ?", "freedb", 10).execute()

Inserting Rows

rows = [Person(name="no_pointer", age=10), Person(name="with_pointer", age=20)]
store.insert(rows).execute()

Updating Rows

# Update all rows.
store.update({"name": "new_name", "age": 100}).execute()

# Update rows with conditions.
store.update({"name": "new_name", "age": 100}).where("name = ? OR age >= ?", "freedb", 10).execute()

Deleting Rows

# Delete all rows.
store.delete().execute()

# Delete rows with conditions.
store.delete().where("name = ? OR age >= ?", "freedb", 10).execute()

Model Field to Column Mapping

You can pass keyword argument column_name to the Field constructor when defining the models to change the column name in the sheet. Without this keyword argument, the library will use the field name as the column name (case sensitive).

# This will map to the exact column name of "name" and "age".
class Person(models.Model):
    name = models.StringField()
    age = models.IntegerField()

# This will map to the exact column name of "Name" and "Age".
class Person(models.Model):
    name = models.StringField(column_name="Name")
    age = models.IntegerField(column_name="Age")

KV Store

from pyfreedb.providers.google.auth import ServiceAccountGoogleAuthClient, OAuth2GoogleAuthClient
from pyfreedb.kv import GoogleSheetKVStore, AUTH_SCOPES

# If using Google Service Account.
auth_client = ServiceAccountGoogleAuthClient.from_service_account_file(
    "<path_to_service_account_json>",
    scopes=AUTH_SCOPES,
)

# If using Google OAuth2 Flow.
auth_client = OAuth2GoogleAuthClient.from_authorized_user_file(
    "<path_to_cached_credentials_json>",
    client_secret_filename="<path_to_client_secret_json>",
    scopes=AUTH_SCOPES,
)

store = GoogleSheetKVStore(
    auth_client,
    spreadsheet_id="<spreadsheet_id>",
    sheet_name="<sheet_name>",
    mode=GoogleSheetKVStore.APPEND_ONLY_MODE,
)

Get Value

If the key is not found, pyfreedb.kv.KeyNotFoundError will be returned.

store.get("k1")

Set Key

store.set("k1", b"some_value")

Delete Key

store.delete("k1")

Supported Modes

For more details on how the two modes are different, please read the protocol document.

There are 2 different modes supported:

1. Default mode.
2. Append only mode.

// Default mode
store = GoogleSheetKVStore(
    auth_client,
    spreadsheet_id="<spreadsheet_id>",
    sheet_name="<sheet_name>",
    mode=GoogleSheetKVStore.DEFAULT_MODE,
)

// Append only mode
store = GoogleSheetKVStore(
    auth_client,
    spreadsheet_id="<spreadsheet_id>",
    sheet_name="<sheet_name>",
    mode=GoogleSheetKVStore.APPEND_ONLY_MODE,
)

License

This project is MIT licensed.