Advanced Configuration¶
When your API grows, you might need tools for shaping traffic, offloading storage and refining responses. Beyond the basics, flarchitect offers several options for these scenarios. The following sections walk through common patterns such as rate limiting, cache configuration and response metadata.
As traffic increases, managing how often clients can hit your API becomes critical.
Rate limiting¶
Rate limits can be applied globally, per HTTP method or per model. For
example, to shield a public search endpoint from abuse, you might allow only
100 GET requests per minute.
Global limit
class Config:
API_RATE_LIMIT = "200 per day"
Method specific
class Config:
API_GET_RATE_LIMIT = "100 per minute"
API_POST_RATE_LIMIT = "10 per minute"
Model specific
class Book(db.Model):
__tablename__ = "book"
class Meta:
rate_limit = "5 per minute" # becomes API_RATE_LIMIT
get_rate_limit = "10 per minute" # becomes API_GET_RATE_LIMIT
Because limits depend on counting requests, those counts must live somewhere.
Caching backends¶
The rate limiter stores counters in a cache backend. When initialising,
flarchitect will automatically use a locally running Memcached,
Redis or MongoDB instance. To point to a specific backend, supply a
storage URI:
class Config:
API_RATE_LIMIT_STORAGE_URI = "redis://redis.example.com:6379"
If no backend is available, the limiter falls back to in-memory storage with rate-limit headers enabled by default. In production, you might point to a shared Redis cluster so that multiple application servers enforce the same limits.
After securing throughput, you can also shape what your clients see in each payload.
For a runnable example demonstrating cached responses see the caching demo.
Response metadata¶
flarchitect can attach additional metadata to every response. These
keys let you toggle each field individually. Including version numbers, for
example, helps client developers cache against the correct release:
Key |
Default |
Effect |
|---|---|---|
|
|
Include SQLAlchemy hybrid properties in serialized output. |
|
|
Append the current UTC timestamp as |
|
|
Embed the API version string as |
|
|
Add the HTTP status code to the payload. |
|
|
Include elapsed processing time in milliseconds as |
|
|
Provide a |
|
|
Show |
|
|
Show |
|
|
Always include an |
Example¶
With metadata enabled (defaults):
{
"data": [...],
"datetime": "2024-01-01T00:00:00Z",
"api_version": "0.0.0",
"status_code": 200,
"response_ms": 15,
"total_count": 1,
"next_url": null,
"previous_url": null,
"errors": null
}
Disabling all metadata:
class Config:
API_DUMP_DATETIME = False
API_DUMP_VERSION = False
API_DUMP_STATUS_CODE = False
API_DUMP_RESPONSE_MS = False
API_DUMP_TOTAL_COUNT = False
API_DUMP_NULL_NEXT_URL = False
API_DUMP_NULL_PREVIOUS_URL = False
API_DUMP_NULL_ERRORS = False
{
"data": [...]
}
Nested model creation¶
Nested writes are disabled by default. Enable them globally with
API_ALLOW_NESTED_WRITES = True or per model via Meta.allow_nested_writes.
Once enabled, AutoSchema can deserialize nested relationship data during
POST or PUT requests. Include related objects under the relationship name in
your payload:
{
"title": "My Book",
"isbn": "12345",
"publication_date": "2024-01-01",
"author_id": 1,
"author": {
"first_name": "John",
"last_name": "Doe",
"biography": "Bio",
"date_of_birth": "1980-01-01",
"nationality": "US"
}
}
The nested author object is deserialized into an Author instance while
responses continue to use the configured serialization type (URL, JSON, or
dynamic).
Soft delete¶
flarchitect can mark records as deleted without removing them from the
database. This allows you to hide data from normal queries while retaining it
for auditing or future restoration.
Configuration¶
Enable soft deletes and define how records are flagged:
class Config:
API_SOFT_DELETE = True
API_SOFT_DELETE_ATTRIBUTE = "deleted"
API_SOFT_DELETE_VALUES = (False, True)
API_SOFT_DELETE_ATTRIBUTE names the column that stores the deleted flag.
API_SOFT_DELETE_VALUES is a tuple where the first value represents an
active record and the second marks it as deleted.
Example model¶
Add a boolean column to your base model so every table can inherit the flag:
from datetime import datetime
from flask_sqlalchemy import SQLAlchemy
from sqlalchemy import Boolean, DateTime
from sqlalchemy.orm import DeclarativeBase, Mapped, mapped_column
class BaseModel(DeclarativeBase):
created: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow)
updated: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
deleted: Mapped[bool] = mapped_column(Boolean, default=False, nullable=False)
db = SQLAlchemy(model_class=BaseModel)
class Book(db.Model):
__tablename__ = "books"
id: Mapped[int] = mapped_column(primary_key=True)
title: Mapped[str] = mapped_column()
Example queries¶
Soft deleted rows are hidden from normal requests:
GET /api/books # returns rows where deleted=False
Include the include_deleted query parameter to return all rows:
GET /api/books?include_deleted=true
Issuing a DELETE request marks the record as deleted. To remove it
permanently, supply cascade_delete=1:
DELETE /api/books/1 # sets deleted=True
DELETE /api/books/1?cascade_delete=1 # removes row from database
CORS¶
To enable Cross-Origin Resource Sharing (CORS)
for your API, set API_ENABLE_CORS to True in the application
configuration. When active, CORS headers are applied to matching routes
defined in CORS_RESOURCES.
CORS_RESOURCES accepts a mapping of URL patterns to their respective
options, mirroring the format used by Flask-CORS.
class Config:
API_ENABLE_CORS = True
CORS_RESOURCES = {
r"/api/*": {"origins": "*"}
}
Example¶
The following snippet enables CORS for all API routes:
from flask import Flask
from flarchitect import Architect
app = Flask(__name__)
app.config["API_ENABLE_CORS"] = True
app.config["CORS_RESOURCES"] = {r"/api/*": {"origins": "*"}}
architect = Architect(app)
if __name__ == "__main__":
app.run()
See the configuration page for the full list of available CORS settings.
Query parameter controls¶
flarchitect can expose several query parameters that let clients tailor
responses. These toggles may be disabled to enforce fixed behaviour.
Filtering¶
The API_ALLOW_FILTER flag enables a filter query parameter for
constraining results. For example:
GET /api/books?filter=author_id__eq:1
Ordering¶
Activate API_ALLOW_ORDER_BY to allow sorting via order_by:
GET /api/books?order_by=-published_date
Selecting fields¶
API_ALLOW_SELECT_FIELDS lets clients whitelist response columns with
the fields parameter:
GET /api/books?fields=title,author_id
See configuration for detailed descriptions of
API_ALLOW_FILTER, API_ALLOW_ORDER_BY and
API_ALLOW_SELECT_FIELDS.
Grouping and aggregation¶
API_ALLOW_GROUPBY enables the groupby parameter for SQL
GROUP BY clauses. Use API_ALLOW_AGGREGATION alongside it to
compute aggregates. Aggregates are expressed by appending a label and
function to a field name:
GET /api/books?groupby=author_id&id|book_count__count=1
Cascade deletes¶
When removing a record, related rows may block the operation. These
settings let flarchitect clean up relationships automatically when
explicitly requested.
API_ALLOW_CASCADE_DELETE permits clients to trigger cascading
removal by adding ?cascade_delete=1 to the request. Without this
flag or query parameter, deletes that would orphan related records raise
409 Conflict instead of proceeding:
DELETE /api/books/1?cascade_delete=1
class Config:
API_ALLOW_CASCADE_DELETE = True
API_ALLOW_DELETE_RELATED governs whether child objects referencing
the target can be removed automatically. Disable it to require manual
cleanup of related rows:
class Book(db.Model):
class Meta:
delete_related = False # API_ALLOW_DELETE_RELATED
API_ALLOW_DELETE_DEPENDENTS covers dependent objects such as
association table entries. Turning it off forces clients to delete those
records explicitly:
class Book(db.Model):
class Meta:
delete_dependents = False # API_ALLOW_DELETE_DEPENDENTS
See configuration for default values and additional context on these options.
Case conventions¶
flarchitect can reshape field and schema names to match different
case conventions. These options keep the API’s payloads, schemas and
endpoints consistent with the style used by your clients.
API_FIELD_CASE¶
Controls the casing for fields in JSON responses. By default, field names
use snake case. Setting API_FIELD_CASE changes the output to match
other naming styles:
class Config:
API_FIELD_CASE = "camel"
{
"statusCode": 200,
"value": {
"publicationDate": "2024-05-10"
}
}
Switching to kebab case instead renders the same field as
publication-date. Supported options include snake, camel,
pascal, kebab and screaming_snake.
API_SCHEMA_CASE¶
Defines the naming convention for generated schema names in the OpenAPI
document. The default, camel, produces schema identifiers such as
apiCalls. Other styles are also available:
class Config:
API_SCHEMA_CASE = "screaming_snake"
{
"components": {
"schemas": {
"API_CALLS": {
"...": "..."
}
}
}
}
Interplay with API_ENDPOINT_CASE¶
API_ENDPOINT_CASE controls the casing of the generated URL paths. To
maintain a consistent style across paths, schemas and payloads, combine
API_ENDPOINT_CASE with the appropriate API_FIELD_CASE and
API_SCHEMA_CASE values. For example, selecting kebab endpoint
casing pairs naturally with kebab field names.
Callbacks, validators and hooks¶
flarchitect offers several extension points for tailoring behaviour beyond
configuration files. These hooks let you alter request handling, apply
additional field validation and tweak responses on a per-route basis.
Response callbacks¶
Return callbacks run after database operations but before the response is serialised. Use them to adjust the output or append metadata.
from datetime import datetime
def add_timestamp(model, output, **kwargs):
output["generated"] = datetime.utcnow().isoformat()
return {"output": output}
class Config:
API_GET_RETURN_CALLBACK = add_timestamp
See flarchitect.core.routes.create_route_function() for details on how
responses are constructed.
Custom validators¶
Attach validators to SQLAlchemy columns via the info mapping.
Validators are looked up in flarchitect.schemas.validators and
applied automatically.
class User(db.Model):
email = db.Column(
db.String,
info={"validator": "email", "validator_message": "Invalid email"},
)
See Validation for the full list of available validators.
Per-route hooks¶
Execute custom logic before or after a specific route by defining setup or
return callbacks in configuration or on a model’s Meta class.
from flask import abort
from flask_login import current_user
def ensure_admin(model, **kwargs):
if not current_user.is_admin:
abort(403)
return kwargs
class Book(db.Model):
class Meta:
post_return_callback = add_timestamp
class Config:
API_POST_SETUP_CALLBACK = ensure_admin
For more examples see the Callbacks page.