Code Architecture¶
Base¶
Let's first review the flow of a request. Consider that, we have two integrations: EPoint and KapitalBank.
graph TD;
classDef classAPI ;
classDef classHandler ;
classDef classExecutor ;
subgraph Request Execution
APIExecutor
httpx.Client
httpx.AsyncClient
end
subgraph API Handlers
APIPayloadHandler
epoint.PaymentPayloadHandler
kapital.PaymentPayloadHandler
end
subgraph API Support
APIClient
EPointClientClass
KapitalClientClass
end
APIClient --> EPointClientClass
APIClient --> KapitalClientClass
APIPayloadHandler --> epoint.PaymentPayloadHandler
APIPayloadHandler --> kapital.PaymentPayloadHandler
httpx.Client --> APIExecutor
httpx.AsyncClient --> APIExecutor
EPointClientClass -->|add_url & add_handler| APIClient
KapitalClientClass -->|add_url & add_handler| APIClient
epoint.PaymentPayloadHandler -->|handle_request & handle_response| APIPayloadHandler
kapital.PaymentPayloadHandler -->|handle_request & handle_response| APIPayloadHandler
APIExecutor -->|sync_req| httpx.Client
APIExecutor -->|async_req| httpx.AsyncClientCode flow¶
If you review this structure, you can understand from this diagram how the request is prepared, sent, and how the response is parsed and validated.
---
title: Flow of EPointClient `pay` function/request
config:
theme: forest
---
sequenceDiagram;
participant U as User
participant C as EPointClientClass
participant H as epoint.PaymentPayloadHandler
participant E as APIExecutor
participant S as EPoint Server
U ->> C: .pay(data)
Note over C: get_url
C <<->> H: get_handler
C <<->> E: get_request_function
C ->> E: execute_request
E <<->> H: handle_request (prepare data)
E ->> S: request
S ->> E: response
E <<->> H: handle_response
E ->> C: return
C ->> U: returnIntegration structure¶
If you want to add new integration support, please follow these steps.
1. File structure¶
This is expected main file structure:
.
├── docs
│ ├── {lang}
│ │ ├── docs
│ │ │ ├── integrations
│ │ │ │ └── {integration-name}
│ │ │ │ ├── api-reference
│ │ │ │ │ ├── client.md
│ │ │ │ │ ├── enums.md
│ │ │ │ │ ├── helper-functions.md
│ │ │ │ │ └── response.md
│ │ │ │ ├── about.md
│ │ │ │ └── env.md
│ └── partial.yml
├── src
│ └── integrify
│ └── {integration-name}
│ ├── schemas
│ │ ├── __init__.py
│ │ ├── enums.py
│ │ ├── request.py
│ │ └── response.py
│ ├── __init__.py
│ ├── client.py
│ ├── env.py
│ ├── handlers.py
│ ├── helpers.py
│ └── py.typed
├── tests
│ ├── __init__.py
│ ├── conftest.py
│ ├── mocks.py
│ └── test.py
└── ...other files
This is just skeleton. You can add extra files (for ex. utils.py, helpers.py) or folders.
2. Preperations and constants¶
First of all, collect all APIs and endpoints under enum as constants. You can also read env variables (if needed) in env.py file.
3. Handlers¶
For next step, it is recommended to write handlers. For each endpoint, write schema of data of request (schemas/request.py) and response (schemas/response.py).
Warning
For request schemas, have your fields IN THE SAME ORDER as your function paramaters. So if you function is:
def pay(amount: Decimal, currency: str)
then schema of the request should be:
class PaySchema(BaseModel):
amount: Decimal
currency: str
Otherwise, data could be messed up if user uses positional arguments instead of keyword ones.
For more info check, PayloadBaseModel schema.
After writing request and response schemas, write handler which points to them.
If you need pre or post request handling, instead of changing schemas, just override pre_handle_payload və post_handle_payload of the handler class. For example, check EPoint handlers.
4. API Client¶
After writing all handlers, create APIClient class and register all endpoints and their handlers. For example:
class NewIntegrationClientClass(APIClient):
def __init__(self, sync: bool = True):
super().__init__('NewIntegration', 'https://new-integration.com', None, sync)
self.add_url('function1', env.API.API1, 'GET')
self.add_handler('function1', API1PayloadHandler)
If most of the APIs use the same handler, add default_handler to __init__ of ClientCLass. If there is no given handler for api, default handler is used.
Note
It is recommended to add sync and async instances of client. at the end of client.py file and add them to
new_integration/init.py file. This allows user to directly use instances, instead of creating one for each request.
5. Type-hinted functions¶
Even though this part has no direct effect to the library, it is one of the main parts of the library. As you can see, there is no function defined in the library: each request function is dynamically created when called in __getattribute__ dunder method using lambda functions. That is why, function1 is important name, as it is also the name of the function (i. e. you can call client.function1(args))
After registering all endpoitns and handlers add all function signatures under if TYPE_CHECKING:. All functions should be documented with docstring and their arguments should be type-hinted, as mkdocstrings is used for doc generation, which uses all of these.
Code example:
class NewIntegrationClientClass(APIClient):
def __init__(self, sync: bool = True):
super().__init__('NewIntegration', 'https://new-integration.com', None, sync)
self.add_url('function1', env.API.API1, 'GET')
self.add_handler('function1', API1PayloadHandler)
if TYPE_CHECKING:
def function1(
self,
amount: Decimal,
currency: str,
) -> APIResponse[API1ResponseSchema]:
"""What api does
**Endpoint:** */api/function-1*
Example:
```python
from integrify.new_integration import NewIntegrationRequest
NewIntegrationRequest.function1(amount=100, currency='AZN')
```
**Request schema**: `API1PayloadHandler`
A little about request.
Args:
amount: Request amount.
currency: Request currency.
"""
NewIntegrationClient = NewIntegrationClientClass(sync=True)
NewIntegrationAsyncClient = NewIntegrationClientClass(sync=False)
6. Utils and Helpers¶
Sometimes we need extra functions to write code. For this, create a separate file and add your codes there. In order to keep structure, it is requested to follow the following format:
- utils.py - For internal use (check) Daxili istifadəlik köməkçi funksiyalar üçün (check: EPoint)
- helpers.py - Extra functions for users to use (check: AzeriCard)
7. Tests¶
Of course, we could not be without a test. Pytest is used for testing. Write main fixtures in the conftest.py file. mocks.py file is for mock responses. Then write bunch of tests to cover all the requests. Expected minimum coverage: 95%.
8. Documentation¶
After finished development and testing, we need to get down to documenting. All you need to do is change content of some predefined markdown files:
about.md: General info about integration, links to documentations, table of implemented requests and maybe some info about usage.env.md: List of env variables, what they mean and their default values. Also, small text block .env tempalge for users to easily copy paste.api-reference/client.md: About client and documented functionsapi-reference/response.md: Response schemasapi-reference/enums.md: List of enums, if anyapi-reference/helpers.md: helper file documentation, if any.
If you have followed the steps this far, you have already typed and documented code. Mkdocstrings will generate everything for us.
After finishing documenting, run make docs to make sure there is no error in build. To see the documentation, run make docs-serve and open address shown in console (usually localhost:8000).
Partial.yml¶
After all markdown files is written, for it to work, we must write partial.yml file. As Integrify is multi-repo library, documentation repository is separate. Script in this repo takes partial.yml file and embeds it to its mkdocs.yml, generating documentation for each library.
Example partial.yml:
EPoint:
- "integrations/epoint/about.md"
- "integrations/epoint/env.md"
- API Reference:
- "integrations/epoint/api-reference/client.md"
- Schemas:
- Response: "integrations/epoint/api-reference/response.md"
- Callback: "integrations/epoint/api-reference/callback.md"
- "integrations/epoint/api-reference/helper-functions.md"