cqtech-metrics 0.1.0

A Python SDK for interacting with the CQTech Metrics OpenAPI

CQTech Metrics SDK

A Python SDK for interacting with the CQTech Metrics OpenAPI.

Table of Contents

• Overview
• Installation
• Quick Start
• API Endpoints
• Usage Examples
• Models
• Authentication
• Testing
• Contributing
• License

Overview

CQTech Metrics SDK provides a client for interacting with the CQTech Metrics OpenAPI. This SDK enables developers to authenticate, query scene versions, metric instances, results, and more through a comprehensive set of interfaces that align with the OpenAPI specification.

The SDK includes 12 API endpoints covering:

• Authentication and token management
• Scene version management
• Metric instance definitions and lineage
• Metric results and assessments
• Metric detail data
• Tag management
• Other auxiliary interfaces

Installation

pip install cqtech-metrics

Quick Start

from cqtech_metrics import CQTechClient
from cqtech_metrics.models.scenes import SceneVersionQuery
from cqtech_metrics.models.metrics import MetricQuery

# Initialize the client (credentials loaded from environment variables)
with CQTechClient() as client:
    # Query all scene versions
    query = SceneVersionQuery(
        name="学生",
        sceneVersionStatus=1,
        pageNum=1,
        pageSize=10
    )
    
    response = client.query_all_scene_versions(query)
    print(response)

    # Query metric results by codes
    metric_query = MetricQuery(
        sceneVersionUid=response.data.list[0].uid,
        instanceCodes=["byxf"]
    )
    results = client.query_metric_results_by_codes(metric_query)
    print(results)

Using environment variables approach:

# Set environment variables
export CQTECH_BASE_URL="https://api.example.com"
export CQTECH_APP_KEY="your_app_key"
export CQTECH_SECRET="your_secret"
export CQTECH_USERNAME="your_username"

from cqtech_metrics import CQTechClient
from cqtech_metrics.models.scenes import SceneVersionQuery

# Initialize client with environment variables
client = CQTechClient()

# Query scene versions with permission
query = SceneVersionQuery(
    pageNum=1,
    pageSize=10
)
response = client.query_scene_versions_with_permission(query)
print(response)

client.close()

API Endpoints

The SDK provides access to 12 main API endpoints:

1. Get APP Token (POST /open-api/system/oauth2-openapi/token) - Authenticate and get access token
2. Query All Scene Versions (POST /open-api/metric/scene/versions) - Query all scene versions under application (irrespective of user permissions)
3. Query Scene Versions with Permission (POST /open-api/metric/scene/versions/with-permission) - Query scene versions by app permission
4. Query Metric Instances by Scene Version (POST /open-api/metric/scene/version/metric-instances) - Query metric instances and dependencies by scene version UID
5. Query Metric Instance Lineage (POST /open-api/metric/scene/version/metric-instance/lineage) - Query metric lineage by scene version UID including data models
6. Query Metric Results by Codes (POST /open-api/metric/instance/codes/measure) - Query metric results and assessments by multiple instance codes
7. Query Metric Results by IDs (POST /open-api/metric/instance/ids/measure) - Query metric results and assessments by multiple instance IDs
8. Query Metric Instance Detail (POST /open-api/metric/instance/detail) - Query metric instance detail data
9. Query Distinct Field Values (POST /open-api/metric/instance/detail-distinct-field) - Query distinct values of a field in detail data
10. Query Metric Instances with Versions (POST /open-api/metric/scene/version/metric-instances-withVersions) - Query metric instances by multiple scene version UIDs
11. Get Metric Tags (POST /open-api/metric/metricmgt/tags/list) - Get list of tags defined in metric management

Usage Examples

Authentication

from cqtech_metrics import CQTechClient

# The SDK handles authentication automatically. Tokens are refreshed as needed.
client = CQTechClient(
    base_url="https://your-api-domain.com",
    app_key="your_app_key",
    secret="your_secret",
    username="your_username"
)

Query Scene Versions

from cqtech_metrics.models.scenes import SceneVersionQuery

# Query all scene versions
query = SceneVersionQuery(
    name="学生",
    sceneVersionStatus=1,  # 0=offline, 1=online
    pageNum=1,
    pageSize=10
)

response = client.query_all_scene_versions(query)
for scene in response.data.list:
    print(f"Scene: {scene.name}, UID: {scene.uid}")

Query Metric Results

from cqtech_metrics.models.metrics import MetricQuery, GlobalFilter, InstanceFilter

# Query metric results by codes
query = MetricQuery(
    sceneVersionUid="7dda43b03da04ef79ca935ac14a1ca60",
    instanceCodes=["byxf", "xsl"],
    recalculate=False,
    globalFilter=GlobalFilter(
        dims={"学院": "计算机学院"},
        recalculate=False
    ),
    instances=[
        InstanceFilter(
            instanceCode="byxf",
            dims=["商户名称"],
            id="byxf_max",
            recalculate=True
        )
    ],
    pageNum=1,
    pageSize=10
)

results = client.query_metric_results_by_codes(query)
print(results)

Query Metric Detail Data

# Query detailed metric data
detail_query = MetricQuery(
    sceneVersionUid="7dda43b03da04ef79ca935ac14a1ca60",
    instanceId=4021,
    pageNum=1,
    pageSize=20
)

detail_response = client.query_metric_instance_detail(detail_query)
print(f"Total records: {detail_response.data.total}")
for record in detail_response.data.list:
    print(record)

Query Distinct Field Values

# Get unique values for a specific field
distinct_query = MetricQuery(
    sceneVersionUid="7dda43b03da04ef79ca935ac14a1ca60",
    instanceId=4021,
    columnAlias="商户名称",
    pageNum=1,
    pageSize=100
)

distinct_response = client.query_distinct_field_values(distinct_query)
print("Available merchants:", distinct_response.data)

Models

The SDK includes comprehensive Pydantic models for all API responses:

Authentication Models

• TokenResponse: Response from authentication endpoint
• TokenResponseData: Data part of token response
• AuthHeader: Authentication header parameters

Scene Models

• SceneVersion: Scene version information
• SceneVersionQuery: Query parameters for scene versions
• SceneVersionResponse: Response for scene version listing

Metric Models

• MetricDefinition: Definition of a metric
• MetricInstance: A metric instance
• MetricQuery: Query parameters for metric endpoints
• MetricResultDimValue: Dimension value in metric result
• MetricDetailResponse: Response for metric detail data

Authentication

The SDK handles authentication automatically:

• Tokens are obtained automatically when making API calls
• Tokens are refreshed 1 minute before expiration
• Uses OAuth2 protocol with checksum verification
• Automatic token refresh when needed

The authentication flow:

1. Generates a 10-digit random nonce
2. Gets current timestamp in seconds
3. Creates checksum using SHA1 encryption of username, secret, nonce, and curtime
4. Makes POST request to authentication endpoint
5. Caches the token for future use
6. Automatically renews tokens before expiration

Testing

To run tests:

pip install -r requirements-dev.txt
python -m pytest tests/

The test suite includes:

• Unit tests for all models
• Integration tests for API endpoints
• Authentication flow tests

Contributing

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -am 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Create a Pull Request

Please make sure to update tests as appropriate and follow the existing code style.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Support

For support, please open an issue in the GitHub repository or contact the development team.