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352
shell/preload/README_PYTHON_API.md
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352
shell/preload/README_PYTHON_API.md
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# Qinglong Python API (QLAPI) Documentation
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## Overview
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The Qinglong Python API provides a convenient way to interact with the Qinglong system from Python scripts. The `QLAPI` object is automatically available in your Python scripts when they run within the Qinglong environment.
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## Availability
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The Python QLAPI is available starting from **version 2.8.0+**. If you're using an older version (e.g., v2.7.11), please upgrade to access these features.
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## Prerequisites
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- Qinglong version 2.8.0 or higher
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- Python 3.6 or higher
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- Running within Qinglong environment (scripts executed through Qinglong task system)
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## Usage
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The `QLAPI` object is automatically injected into your Python script's global namespace. You don't need to import anything - just use it directly:
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```python
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# QLAPI is automatically available
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result = QLAPI.getEnvs({"searchValue": "USER"})
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print(result)
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```
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## Available Methods
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### Environment Variables Management
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#### getEnvs
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Get environment variables with optional search filter.
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```python
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# Get all environment variables
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envs = QLAPI.getEnvs()
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# Search for specific environment variables
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envs = QLAPI.getEnvs({"searchValue": "USER"})
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```
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**Parameters:**
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- `searchValue` (optional): String to search for in environment variable names or values
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**Returns:** `EnvsResponse` with list of environment variables
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#### createEnv
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Create new environment variables.
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```python
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result = QLAPI.createEnv({
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"envs": [
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{
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"name": "MY_VAR",
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"value": "my_value",
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"remarks": "My custom variable"
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}
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]
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})
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```
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**Parameters:**
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- `envs`: List of environment variable objects to create
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**Returns:** `EnvsResponse`
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#### updateEnv
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Update an existing environment variable.
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```python
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result = QLAPI.updateEnv({
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"env": {
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"id": 123,
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"name": "MY_VAR",
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"value": "new_value",
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"remarks": "Updated variable"
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}
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})
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```
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**Parameters:**
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- `env`: Environment variable object with id and updated fields
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**Returns:** `EnvResponse`
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#### deleteEnvs
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Delete environment variables by IDs.
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```python
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result = QLAPI.deleteEnvs({"ids": [123, 456]})
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```
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**Parameters:**
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- `ids`: List of environment variable IDs to delete
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**Returns:** `Response`
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#### enableEnvs
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Enable environment variables.
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```python
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result = QLAPI.enableEnvs({"ids": [123, 456]})
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```
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**Parameters:**
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- `ids`: List of environment variable IDs to enable
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**Returns:** `Response`
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#### disableEnvs
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Disable environment variables.
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```python
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result = QLAPI.disableEnvs({"ids": [123, 456]})
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```
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**Parameters:**
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- `ids`: List of environment variable IDs to disable
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**Returns:** `Response`
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#### updateEnvNames
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Update names of multiple environment variables.
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```python
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result = QLAPI.updateEnvNames({
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"ids": [123, 456],
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"name": "NEW_NAME"
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})
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```
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**Parameters:**
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- `ids`: List of environment variable IDs
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- `name`: New name to set
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**Returns:** `Response`
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#### getEnvById
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Get a specific environment variable by ID.
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```python
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env = QLAPI.getEnvById({"id": 123})
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```
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**Parameters:**
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- `id`: Environment variable ID
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**Returns:** `EnvResponse`
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#### moveEnv
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Change the position/order of an environment variable.
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```python
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result = QLAPI.moveEnv({
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"id": 123,
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"fromIndex": 0,
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"toIndex": 5
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})
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```
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**Parameters:**
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- `id`: Environment variable ID
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- `fromIndex`: Current position index
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- `toIndex`: Target position index
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**Returns:** `EnvResponse`
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### Scheduled Tasks (Cron) Management
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#### getCronDetail
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Get details of a scheduled task.
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```python
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cron = QLAPI.getCronDetail({"log_path": "/path/to/log"})
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```
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**Parameters:**
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- `log_path`: Path to the task log file
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**Returns:** `CronResponse`
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#### createCron
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Create a new scheduled task.
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```python
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result = QLAPI.createCron({
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"command": "node script.js",
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"schedule": "0 0 * * *",
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"name": "Daily Task",
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"labels": ["tag1", "tag2"],
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"sub_id": None,
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"extra_schedules": [],
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"task_before": "",
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"task_after": ""
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})
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```
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**Parameters:**
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- `command`: Command to execute
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- `schedule`: Cron expression
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- `name`: Task name (optional)
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- `labels`: List of labels (optional)
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- Other optional fields
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**Returns:** `CronResponse`
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#### updateCron
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Update an existing scheduled task.
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```python
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result = QLAPI.updateCron({
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"id": 123,
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"command": "node updated_script.js",
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"schedule": "0 0 * * *",
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"name": "Updated Task",
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"labels": [],
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"sub_id": None,
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"extra_schedules": [],
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"task_before": "",
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"task_after": ""
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})
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```
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**Returns:** `CronResponse`
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#### deleteCrons
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Delete scheduled tasks by IDs.
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```python
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result = QLAPI.deleteCrons({"ids": [123, 456]})
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```
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**Parameters:**
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- `ids`: List of task IDs to delete
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**Returns:** `Response`
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### Notifications
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#### notify
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Send a notification using configured notification channels.
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```python
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result = QLAPI.notify("Notification Title", "Notification Content")
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```
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**Parameters:**
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- First argument: Notification title
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- Second argument: Notification content
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**Returns:** Notification result
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#### systemNotify
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Send a system notification with custom parameters.
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```python
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result = QLAPI.systemNotify({
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"title": "System Alert",
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"content": "This is a system notification"
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})
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```
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**Parameters:**
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- `title`: Notification title
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- `content`: Notification content
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**Returns:** `Response`
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## Complete Example
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```python
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"""
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Example Qinglong Python script demonstrating QLAPI usage
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"""
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# Get environment variables
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print("Fetching environment variables...")
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envs = QLAPI.getEnvs({"searchValue": "TOKEN"})
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print(f"Found {len(envs.get('data', []))} environment variables")
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# Create a new environment variable
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print("Creating new environment variable...")
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result = QLAPI.createEnv({
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"envs": [
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{
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"name": "MY_TEST_VAR",
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"value": "test_value_123",
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"remarks": "Created by script"
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}
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]
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})
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print(f"Create result: {result}")
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# Send notification
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print("Sending notification...")
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QLAPI.notify("Script Completed", "The script has finished executing successfully")
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# Send system notification
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QLAPI.systemNotify({
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"title": "Task Report",
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"content": f"Processed {len(envs.get('data', []))} environment variables"
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})
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print("Done!")
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```
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## Error Handling
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All QLAPI methods may raise exceptions if there are errors communicating with the backend. It's recommended to use try-except blocks:
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```python
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try:
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envs = QLAPI.getEnvs({"searchValue": "USER"})
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print(f"Success: {envs}")
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except Exception as e:
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print(f"Error: {e}")
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QLAPI.notify("Script Error", str(e))
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```
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## Troubleshooting
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### AttributeError: 'BaseApi' object has no attribute 'getEnvs'
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This error occurs when using an older version of Qinglong (before v2.8.0). Solutions:
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1. **Upgrade Qinglong**: Update to version 2.8.0 or higher
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2. **Check Installation**: Ensure `shell/preload/client.py` exists
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3. **Verify Environment**: Make sure scripts are running within Qinglong environment
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### Module Import Errors
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The QLAPI is only available when scripts run within the Qinglong environment. If you're testing locally, you won't have access to QLAPI.
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## Technical Details
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The Python QLAPI is a wrapper around the Node.js gRPC API client. When you call a method like `QLAPI.getEnvs()`:
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1. Python Client creates a temporary Node.js script
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2. Executes the corresponding Node.js API method
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3. Returns the JSON result back to Python
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This architecture ensures consistency between JavaScript and Python APIs.
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## See Also
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For more information and examples:
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- [JavaScript API Client Source](./client.js) - The underlying Node.js gRPC client
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- [Python Sample Script](../../sample/ql_sample.py) - Example Python script using QLAPI
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- [JavaScript Sample Script](../../sample/ql_sample.js) - Example JavaScript script for comparison
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These files are located in the Qinglong repository under `shell/preload/` and `sample/` directories.
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@ -1,3 +1,20 @@
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"""
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Qinglong Python API Client
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This module provides a Python interface to the Qinglong API through a gRPC-based
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Node.js client. It enables Python scripts to interact with Qinglong's environment
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variables, scheduled tasks, and notification systems.
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The Client class is used as a base for the QLAPI object that is automatically
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available in Qinglong Python scripts. Users can call methods like:
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QLAPI.getEnvs({"searchValue": "USER"})
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QLAPI.createEnv({"envs": [{"name": "VAR", "value": "val"}]})
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QLAPI.notify("Title", "Content")
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For detailed documentation, see README_PYTHON_API.md
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"""
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import subprocess
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import json
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import tempfile
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@ -176,6 +193,23 @@ class CronResponse(TypedDict):
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class Client:
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"""
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Qinglong API Client for Python.
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This class provides methods to interact with Qinglong's API for managing
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environment variables, scheduled tasks (crons), and notifications.
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The client works by executing Node.js code that calls the actual gRPC API,
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then returning the results to Python. This ensures consistency between
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JavaScript and Python API interfaces.
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Usage:
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client = Client()
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envs = client.getEnvs({"searchValue": "TOKEN"})
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Note: This class is typically used through the QLAPI object which is
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automatically available in Qinglong Python scripts.
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"""
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def __init__(self):
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self.temp_dir = tempfile.mkdtemp(prefix="node_client_")
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self.temp_script = os.path.join(self.temp_dir, "temp_script.js")
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@ -131,10 +131,14 @@ try:
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from __ql_notify__ import send
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# BaseApi inherits all methods from Client (getEnvs, createEnv, etc.)
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# and adds the notify method for sending notifications
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class BaseApi(Client):
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def notify(self, *args, **kwargs):
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return send(*args, **kwargs)
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# Create QLAPI instance and make it globally available
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# This allows scripts to use: QLAPI.getEnvs(), QLAPI.notify(), etc.
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QLAPI = BaseApi()
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builtins.QLAPI = QLAPI
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except Exception as error:
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125
shell/preload/test_client.py
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125
shell/preload/test_client.py
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#!/usr/bin/env python3
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"""
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Validation script for QLAPI Client functionality.
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Tests that all methods are properly accessible through the BaseApi class.
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"""
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import sys
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from client import Client
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def test_client_has_required_methods():
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"""Test that Client class has all required API methods."""
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client = Client()
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required_methods = [
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'getEnvs',
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'createEnv',
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'updateEnv',
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'deleteEnvs',
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'moveEnv',
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'disableEnvs',
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'enableEnvs',
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'updateEnvNames',
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'getEnvById',
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'systemNotify',
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'getCronDetail',
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'createCron',
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'updateCron',
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'deleteCrons',
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]
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print("Testing Client class methods...")
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for method in required_methods:
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assert hasattr(client, method), f"Client missing method: {method}"
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assert callable(getattr(client, method)), f"Client.{method} is not callable"
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print(f" ✓ {method}")
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print(f"\n✓ All {len(required_methods)} methods are present and callable")
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return True
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def test_baseapi_inheritance():
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"""Test that BaseApi properly inherits from Client."""
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# Simulate the BaseApi class from sitecustomize.py
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class BaseApi(Client):
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def notify(self, *args, **kwargs):
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return "mock_notify_result"
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api = BaseApi()
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print("\nTesting BaseApi inheritance...")
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# Test that BaseApi has all Client methods
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assert hasattr(api, 'getEnvs'), "BaseApi missing getEnvs"
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assert callable(api.getEnvs), "BaseApi.getEnvs is not callable"
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print(" ✓ getEnvs is accessible")
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# Test that BaseApi also has its own method
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assert hasattr(api, 'notify'), "BaseApi missing notify"
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assert callable(api.notify), "BaseApi.notify is not callable"
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print(" ✓ notify is accessible")
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# Verify getEnvs has type annotations (either params or return)
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annotations = api.getEnvs.__annotations__
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assert len(annotations) > 0, "getEnvs should have type annotations"
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assert 'return' in annotations, "getEnvs should have return type annotation"
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print(" ✓ getEnvs has correct signature with type annotations")
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print("\n✓ BaseApi properly inherits from Client and adds notify method")
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return True
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def test_method_signatures():
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"""Test that methods have correct type annotations."""
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client = Client()
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print("\nTesting method signatures...")
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# Test getEnvs signature
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getEnvs_annotations = client.getEnvs.__annotations__
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# Check that annotations exist - could be 'params', or just 'return'
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assert len(getEnvs_annotations) > 0, "getEnvs should have type annotations"
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assert 'return' in getEnvs_annotations, "getEnvs should have return type annotation"
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print(" ✓ getEnvs has type annotations")
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# Test other critical methods
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assert hasattr(client, 'createEnv'), "Missing createEnv"
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assert hasattr(client, 'updateEnv'), "Missing updateEnv"
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print(" ✓ Critical methods present")
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print("\n✓ All method signatures are correct")
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return True
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def main():
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"""Run all validation tests."""
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print("=" * 60)
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print("QLAPI Client Validation Tests")
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print("=" * 60)
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try:
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test_client_has_required_methods()
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test_baseapi_inheritance()
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test_method_signatures()
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print("\n" + "=" * 60)
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print("ALL TESTS PASSED ✓")
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print("=" * 60)
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print("\nThe QLAPI Client is working correctly.")
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print("Users can safely use: QLAPI.getEnvs({'searchValue': 'USER'})")
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return 0
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|
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except AssertionError as e:
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print(f"\n❌ TEST FAILED: {e}")
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return 1
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except Exception as e:
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print(f"\n❌ UNEXPECTED ERROR: {e}")
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import traceback
|
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traceback.print_exc()
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return 1
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
sys.exit(main())
|
||||
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