Welcome to the PandascoreClient SDK documentation. This guide will help you get started with integrating and using the PandascoreClient SDK in your project.
- API version:
2.53.0 - SDK version:
1.0.0
The PandaScore API offers real-time data, statistics, and odds for esports competitions, providing comprehensive information for developers building esports-related applications.
This SDK is compatible with the following versions: Python >= 3.7
To get started with the SDK, we recommend installing using pip:
pip install pandascoreThe PandascoreClient API uses an Access Token for authentication.
This token must be provided to authenticate your requests to the API.
When you initialize the SDK, you can set the access token as follows:
PandascoreClient(
access_token="YOUR_ACCESS_TOKEN",
timeout=10000
)If you need to set or update the access token after initializing the SDK, you can use:
sdk.set_access_token("YOUR_ACCESS_TOKEN")You can set a custom timeout for the SDK's HTTP requests as follows:
from pandascore_client import PandascoreClient
sdk = PandascoreClient(timeout=10000)Below is a comprehensive example demonstrating how to authenticate and call a simple endpoint:
from pandascore_client import PandascoreClient, Environment
from pandascore_client.models import FilterOverAdditionIncidents, RangeOverAdditionIncidents
sdk = PandascoreClient(
access_token="YOUR_ACCESS_TOKEN",
base_url=Environment.DEFAULT.value,
timeout=10000
)
filter=FilterOverAdditionIncidents(
id_=[
9
],
modified_at=[
"labore nul"
],
opponents_filled=False
)
range=RangeOverAdditionIncidents(
id_=[
9
],
modified_at=[
"id a"
]
)
sort=[
""
]
page=1
type_=[
""
]
videogame=[
1
]
result = sdk.incidents.get_additions(
filter=filter,
range=range,
sort=sort,
page=page,
per_page=50,
type_=type_,
since="mollit magna no",
videogame=videogame
)
print(result)The SDK provides various services to interact with the API.
Below is a list of all available services with links to their detailed documentation:
The SDK includes several models that represent the data structures used in API requests and responses. These models help in organizing and managing the data efficiently.
Below is a list of all available models with links to their detailed documentation:
Union types allow you to specify that a variable can have more than one type. This is particularly useful when a function can accept multiple types of inputs. The Union type hint is used for this purpose.
You can call service method with an instance of TypeA, TypeB, or a dictionary that can be converted to an instance of either type.
# Model Definition
ParamType = Union[TypeA, TypeB]
# Service Method
def service_method(param: ParamType):
...
## Usage
type_a = TypeA(key="value")
type_b = TypeB(key="value")
sdk.service.service_method(type_a)
sdk.service.service_method(type_b)
sdk.service.service_method({"key": "value"})You cannot create an instance of a Union type itself. Instead, pass an instance of one of the types in the Union, or a dictionary that can be converted to one of those types.
This SDK is licensed under the MIT License.
See the LICENSE file for more details.