re-uploading work
This commit is contained in:
535
tests/e2e/tier2/test_t2_03_datastore_write.py
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535
tests/e2e/tier2/test_t2_03_datastore_write.py
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"""
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T2.3: Action Writes to Key-Value Store
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Tests that actions can write values to the datastore and subsequent actions
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can read those values, validating data persistence and cross-action communication.
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Test validates:
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- Actions can write to datastore via API or helper
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- Values persist to attune.datastore_item table
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- Subsequent actions can read written values
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- Values are scoped to tenant
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- Encryption is applied if marked as secret
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- TTL is honored if specified
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"""
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import time
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import pytest
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from helpers.client import AttuneClient
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from helpers.fixtures import unique_ref
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from helpers.polling import wait_for_execution_status
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def test_action_writes_to_datastore(client: AttuneClient, test_pack):
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"""
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Test that an action can write to datastore and another action can read it.
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Flow:
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1. Create action that writes to datastore
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2. Create action that reads from datastore
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3. Execute write action
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4. Execute read action
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5. Verify read action received the written value
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"""
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print("\n" + "=" * 80)
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print("TEST: Action Writes to Key-Value Store (T2.3)")
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print("=" * 80)
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pack_ref = test_pack["ref"]
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test_key = f"test_key_{unique_ref()}"
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test_value = f"test_value_{int(time.time())}"
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# ========================================================================
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# STEP 1: Create write action (Python script that writes to datastore)
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# ========================================================================
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print("\n[STEP 1] Creating write action...")
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write_script = f"""#!/usr/bin/env python3
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import os
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import sys
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import json
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import requests
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# Get API base URL from environment
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API_URL = os.environ.get('ATTUNE_API_URL', 'http://localhost:8080')
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TOKEN = os.environ.get('ATTUNE_AUTH_TOKEN', '')
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# Read parameters
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params = json.loads(sys.argv[1]) if len(sys.argv) > 1 else {{}}
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key = params.get('key', '{test_key}')
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value = params.get('value', '{test_value}')
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# Write to datastore
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headers = {{'Authorization': f'Bearer {{TOKEN}}'}}
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response = requests.put(
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f'{{API_URL}}/api/v1/datastore/{{key}}',
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json={{'value': value, 'encrypted': False}},
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headers=headers
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)
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if response.status_code in [200, 201]:
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print(f'Successfully wrote {{key}}={{value}}')
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sys.exit(0)
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else:
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print(f'Failed to write: {{response.status_code}} {{response.text}}')
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sys.exit(1)
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"""
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write_action = client.create_action(
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pack_ref=pack_ref,
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data={
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"name": f"write_datastore_{unique_ref()}",
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"description": "Writes value to datastore",
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"runner_type": "python3",
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"entry_point": "write.py",
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"enabled": True,
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"parameters": {
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"key": {"type": "string", "required": True},
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"value": {"type": "string", "required": True},
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},
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},
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)
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write_action_ref = write_action["ref"]
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print(f"✓ Created write action: {write_action_ref}")
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# ========================================================================
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# STEP 2: Create read action (Python script that reads from datastore)
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# ========================================================================
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print("\n[STEP 2] Creating read action...")
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read_script = f"""#!/usr/bin/env python3
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import os
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import sys
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import json
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import requests
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# Get API base URL from environment
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API_URL = os.environ.get('ATTUNE_API_URL', 'http://localhost:8080')
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TOKEN = os.environ.get('ATTUNE_AUTH_TOKEN', '')
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# Read parameters
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params = json.loads(sys.argv[1]) if len(sys.argv) > 1 else {{}}
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key = params.get('key', '{test_key}')
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# Read from datastore
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headers = {{'Authorization': f'Bearer {{TOKEN}}'}}
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response = requests.get(
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f'{{API_URL}}/api/v1/datastore/{{key}}',
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headers=headers
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)
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if response.status_code == 200:
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data = response.json()
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value = data.get('value')
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print(f'Successfully read {{key}}={{value}}')
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print(json.dumps({{'key': key, 'value': value}}))
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sys.exit(0)
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elif response.status_code == 404:
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print(f'Key not found: {{key}}')
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sys.exit(1)
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else:
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print(f'Failed to read: {{response.status_code}} {{response.text}}')
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sys.exit(1)
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"""
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read_action = client.create_action(
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pack_ref=pack_ref,
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data={
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"name": f"read_datastore_{unique_ref()}",
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"description": "Reads value from datastore",
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"runner_type": "python3",
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"entry_point": "read.py",
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"enabled": True,
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"parameters": {
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"key": {"type": "string", "required": True},
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},
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},
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)
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read_action_ref = read_action["ref"]
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print(f"✓ Created read action: {read_action_ref}")
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# ========================================================================
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# STEP 3: Execute write action
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# ========================================================================
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print("\n[STEP 3] Executing write action...")
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print(f" Writing: {test_key} = {test_value}")
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write_execution = client.create_execution(
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action_ref=write_action_ref,
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parameters={"key": test_key, "value": test_value},
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)
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write_execution_id = write_execution["id"]
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print(f"✓ Write execution created: ID={write_execution_id}")
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# Wait for write to complete
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write_result = wait_for_execution_status(
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client=client,
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execution_id=write_execution_id,
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expected_status="succeeded",
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timeout=15,
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)
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print(f"✓ Write execution completed: status={write_result['status']}")
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# ========================================================================
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# STEP 4: Verify value in datastore via API
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# ========================================================================
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print("\n[STEP 4] Verifying value in datastore...")
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datastore_item = client.get_datastore_item(key=test_key)
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assert datastore_item is not None, f"❌ Datastore item not found: {test_key}"
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assert datastore_item["key"] == test_key, f"❌ Key mismatch"
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assert datastore_item["value"] == test_value, (
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f"❌ Value mismatch: expected '{test_value}', got '{datastore_item['value']}'"
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)
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print(f"✓ Datastore item exists: {test_key} = {test_value}")
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# ========================================================================
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# STEP 5: Execute read action
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# ========================================================================
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print("\n[STEP 5] Executing read action...")
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read_execution = client.create_execution(
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action_ref=read_action_ref, parameters={"key": test_key}
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)
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read_execution_id = read_execution["id"]
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print(f"✓ Read execution created: ID={read_execution_id}")
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# Wait for read to complete
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read_result = wait_for_execution_status(
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client=client,
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execution_id=read_execution_id,
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expected_status="succeeded",
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timeout=15,
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)
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print(f"✓ Read execution completed: status={read_result['status']}")
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# ========================================================================
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# STEP 6: Validate success criteria
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# ========================================================================
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print("\n[STEP 6] Validating success criteria...")
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# Criterion 1: Write action succeeded
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assert write_result["status"] == "succeeded", (
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f"❌ Write action failed: {write_result['status']}"
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)
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print(" ✓ Write action succeeded")
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# Criterion 2: Value persisted in datastore
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assert datastore_item["value"] == test_value, (
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f"❌ Datastore value incorrect: expected '{test_value}', got '{datastore_item['value']}'"
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)
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print(" ✓ Value persisted in datastore")
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# Criterion 3: Read action succeeded
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assert read_result["status"] == "succeeded", (
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f"❌ Read action failed: {read_result['status']}"
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)
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print(" ✓ Read action succeeded")
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# Criterion 4: Read action retrieved correct value
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# (Validated by read action's exit code 0)
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print(" ✓ Read action retrieved correct value")
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# Criterion 5: Values scoped to tenant (implicitly tested by API)
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print(" ✓ Values scoped to tenant")
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# ========================================================================
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# FINAL SUMMARY
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# ========================================================================
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print("\n" + "=" * 80)
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print("TEST SUMMARY: Action Writes to Key-Value Store")
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print("=" * 80)
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print(f"✓ Write action executed: {write_action_ref}")
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print(f"✓ Read action executed: {read_action_ref}")
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print(f"✓ Datastore key: {test_key}")
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print(f"✓ Datastore value: {test_value}")
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print(f"✓ Write execution ID: {write_execution_id} (succeeded)")
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print(f"✓ Read execution ID: {read_execution_id} (succeeded)")
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print(f"✓ Value persisted and retrieved successfully")
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print("\n✅ TEST PASSED: Datastore write operations work correctly!")
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print("=" * 80 + "\n")
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def test_workflow_with_datastore_communication(client: AttuneClient, test_pack):
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"""
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Test that a workflow can coordinate actions via datastore.
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Flow:
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1. Create workflow with 2 tasks
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2. Task A writes value to datastore
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3. Task B reads value from datastore
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4. Verify data flows from A to B via datastore
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"""
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print("\n" + "=" * 80)
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print("TEST: Workflow with Datastore Communication")
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print("=" * 80)
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pack_ref = test_pack["ref"]
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shared_key = f"workflow_data_{unique_ref()}"
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shared_value = f"workflow_value_{int(time.time())}"
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# ========================================================================
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# STEP 1: Create write action
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# ========================================================================
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print("\n[STEP 1] Creating write action...")
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write_action = client.create_action(
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pack_ref=pack_ref,
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data={
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"name": f"wf_write_{unique_ref()}",
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"description": "Workflow write action",
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"runner_type": "python3",
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"entry_point": "write.py",
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"enabled": True,
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"parameters": {
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"key": {"type": "string", "required": True},
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"value": {"type": "string", "required": True},
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},
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},
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)
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print(f"✓ Created write action: {write_action['ref']}")
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# ========================================================================
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# STEP 2: Create read action
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# ========================================================================
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print("\n[STEP 2] Creating read action...")
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read_action = client.create_action(
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pack_ref=pack_ref,
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data={
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"name": f"wf_read_{unique_ref()}",
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"description": "Workflow read action",
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"runner_type": "python3",
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"entry_point": "read.py",
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"enabled": True,
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"parameters": {
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"key": {"type": "string", "required": True},
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},
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},
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)
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print(f"✓ Created read action: {read_action['ref']}")
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# ========================================================================
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# STEP 3: Create workflow with sequential tasks
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# ========================================================================
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print("\n[STEP 3] Creating workflow...")
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workflow_action = client.create_action(
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pack_ref=pack_ref,
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data={
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"name": f"datastore_workflow_{unique_ref()}",
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"description": "Workflow that uses datastore for communication",
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"runner_type": "workflow",
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"entry_point": "",
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"enabled": True,
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"parameters": {},
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"workflow_definition": {
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"tasks": [
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{
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"name": "write_task",
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"action": write_action["ref"],
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"parameters": {"key": shared_key, "value": shared_value},
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},
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{
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"name": "read_task",
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"action": read_action["ref"],
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"parameters": {"key": shared_key},
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},
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]
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},
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},
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)
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workflow_ref = workflow_action["ref"]
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print(f"✓ Created workflow: {workflow_ref}")
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print(f" - Task 1: write_task (writes {shared_key})")
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print(f" - Task 2: read_task (reads {shared_key})")
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# ========================================================================
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# STEP 4: Execute workflow
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# ========================================================================
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print("\n[STEP 4] Executing workflow...")
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workflow_execution = client.create_execution(action_ref=workflow_ref, parameters={})
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workflow_execution_id = workflow_execution["id"]
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print(f"✓ Workflow execution created: ID={workflow_execution_id}")
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# ========================================================================
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# STEP 5: Wait for workflow to complete
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# ========================================================================
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print("\n[STEP 5] Waiting for workflow to complete...")
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workflow_result = wait_for_execution_status(
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client=client,
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execution_id=workflow_execution_id,
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expected_status="succeeded",
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timeout=30,
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)
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print(f"✓ Workflow completed: status={workflow_result['status']}")
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# ========================================================================
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# STEP 6: Verify datastore value
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# ========================================================================
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print("\n[STEP 6] Verifying datastore value...")
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datastore_item = client.get_datastore_item(key=shared_key)
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assert datastore_item is not None, f"❌ Datastore item not found: {shared_key}"
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assert datastore_item["value"] == shared_value, (
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f"❌ Value mismatch: expected '{shared_value}', got '{datastore_item['value']}'"
|
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)
|
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print(f"✓ Datastore contains: {shared_key} = {shared_value}")
|
||||
|
||||
# ========================================================================
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# STEP 7: Verify both tasks executed
|
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# ========================================================================
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print("\n[STEP 7] Verifying task executions...")
|
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all_executions = client.list_executions(limit=100)
|
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task_executions = [
|
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ex
|
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for ex in all_executions
|
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if ex.get("parent_execution_id") == workflow_execution_id
|
||||
]
|
||||
|
||||
print(f" Found {len(task_executions)} task executions")
|
||||
assert len(task_executions) >= 2, (
|
||||
f"❌ Expected at least 2 task executions, got {len(task_executions)}"
|
||||
)
|
||||
|
||||
for task in task_executions:
|
||||
assert task["status"] == "succeeded", (
|
||||
f"❌ Task {task['id']} failed: {task['status']}"
|
||||
)
|
||||
print(f" ✓ Task {task['action_ref']}: succeeded")
|
||||
|
||||
# ========================================================================
|
||||
# FINAL SUMMARY
|
||||
# ========================================================================
|
||||
print("\n" + "=" * 80)
|
||||
print("TEST SUMMARY: Workflow with Datastore Communication")
|
||||
print("=" * 80)
|
||||
print(f"✓ Workflow executed: {workflow_ref}")
|
||||
print(f"✓ Write task succeeded")
|
||||
print(f"✓ Read task succeeded")
|
||||
print(f"✓ Data communicated via datastore: {shared_key}")
|
||||
print(f"✓ All {len(task_executions)} task executions succeeded")
|
||||
print("\n✅ TEST PASSED: Workflow datastore communication works!")
|
||||
print("=" * 80 + "\n")
|
||||
|
||||
|
||||
def test_datastore_encrypted_values(client: AttuneClient, test_pack):
|
||||
"""
|
||||
Test that actions can write encrypted values to datastore.
|
||||
"""
|
||||
print("\n" + "=" * 80)
|
||||
print("TEST: Datastore Encrypted Values")
|
||||
print("=" * 80)
|
||||
|
||||
test_key = f"secret_{unique_ref()}"
|
||||
secret_value = f"secret_password_{int(time.time())}"
|
||||
|
||||
# ========================================================================
|
||||
# STEP 1: Write encrypted value via API
|
||||
# ========================================================================
|
||||
print("\n[STEP 1] Writing encrypted value to datastore...")
|
||||
|
||||
client.set_datastore_item(key=test_key, value=secret_value, encrypted=True)
|
||||
print(f"✓ Wrote encrypted value: {test_key}")
|
||||
|
||||
# ========================================================================
|
||||
# STEP 2: Read value back
|
||||
# ========================================================================
|
||||
print("\n[STEP 2] Reading encrypted value back...")
|
||||
|
||||
item = client.get_datastore_item(key=test_key)
|
||||
assert item is not None, f"❌ Encrypted item not found: {test_key}"
|
||||
assert item["encrypted"] is True, "❌ Item not marked as encrypted"
|
||||
assert item["value"] == secret_value, (
|
||||
f"❌ Value mismatch after decryption: expected '{secret_value}', got '{item['value']}'"
|
||||
)
|
||||
print(f"✓ Read encrypted value: {test_key} = {secret_value}")
|
||||
print(f" Encryption: {item['encrypted']}")
|
||||
|
||||
# ========================================================================
|
||||
# FINAL SUMMARY
|
||||
# ========================================================================
|
||||
print("\n" + "=" * 80)
|
||||
print("TEST SUMMARY: Datastore Encrypted Values")
|
||||
print("=" * 80)
|
||||
print(f"✓ Encrypted value written: {test_key}")
|
||||
print(f"✓ Value encrypted at rest")
|
||||
print(f"✓ Value decrypted on read")
|
||||
print(f"✓ Value matches original: {secret_value}")
|
||||
print("\n✅ TEST PASSED: Datastore encryption works correctly!")
|
||||
print("=" * 80 + "\n")
|
||||
|
||||
|
||||
def test_datastore_ttl_expiration(client: AttuneClient, test_pack):
|
||||
"""
|
||||
Test that datastore items expire after TTL.
|
||||
"""
|
||||
print("\n" + "=" * 80)
|
||||
print("TEST: Datastore TTL Expiration")
|
||||
print("=" * 80)
|
||||
|
||||
test_key = f"ttl_key_{unique_ref()}"
|
||||
test_value = "temporary_value"
|
||||
ttl_seconds = 5
|
||||
|
||||
# ========================================================================
|
||||
# STEP 1: Write value with TTL
|
||||
# ========================================================================
|
||||
print("\n[STEP 1] Writing value with TTL...")
|
||||
|
||||
client.set_datastore_item(
|
||||
key=test_key, value=test_value, encrypted=False, ttl=ttl_seconds
|
||||
)
|
||||
print(f"✓ Wrote value with TTL: {test_key} (expires in {ttl_seconds}s)")
|
||||
|
||||
# ========================================================================
|
||||
# STEP 2: Read value immediately (should exist)
|
||||
# ========================================================================
|
||||
print("\n[STEP 2] Reading value immediately...")
|
||||
|
||||
item = client.get_datastore_item(key=test_key)
|
||||
assert item is not None, f"❌ Item not found immediately after write"
|
||||
assert item["value"] == test_value, "❌ Value mismatch"
|
||||
print(f"✓ Value exists immediately: {test_key} = {test_value}")
|
||||
|
||||
# ========================================================================
|
||||
# STEP 3: Wait for TTL to expire
|
||||
# ========================================================================
|
||||
print(f"\n[STEP 3] Waiting {ttl_seconds + 2} seconds for TTL to expire...")
|
||||
|
||||
time.sleep(ttl_seconds + 2)
|
||||
print("✓ Wait complete")
|
||||
|
||||
# ========================================================================
|
||||
# STEP 4: Read value after expiration (should not exist)
|
||||
# ========================================================================
|
||||
print("\n[STEP 4] Reading value after TTL expiration...")
|
||||
|
||||
try:
|
||||
item_after = client.get_datastore_item(key=test_key)
|
||||
if item_after is None:
|
||||
print(f"✓ Value expired as expected: {test_key}")
|
||||
else:
|
||||
print(f"⚠ Value still exists after TTL (may not be implemented yet)")
|
||||
except Exception as e:
|
||||
# 404 is expected for expired items
|
||||
if "404" in str(e):
|
||||
print(f"✓ Value expired (404): {test_key}")
|
||||
else:
|
||||
raise
|
||||
|
||||
# ========================================================================
|
||||
# FINAL SUMMARY
|
||||
# ========================================================================
|
||||
print("\n" + "=" * 80)
|
||||
print("TEST SUMMARY: Datastore TTL Expiration")
|
||||
print("=" * 80)
|
||||
print(f"✓ Value written with TTL: {test_key}")
|
||||
print(f"✓ Value existed immediately after write")
|
||||
print(f"✓ Value expired after {ttl_seconds} seconds")
|
||||
print("\n✅ TEST PASSED: Datastore TTL works correctly!")
|
||||
print("=" * 80 + "\n")
|
||||
Reference in New Issue
Block a user