Feat/setup service #1
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- Using fixed versions of docker images - Fix problems with workflows - Added missing dependencies for crawler to be installed in Dockerfile - Added a test script to work as client side: test_run_workflow.py - Updated to use a previous version of pydantic to ensure not to get errors (newer version had some problems). - And many more
WalkthroughThe changes introduce multiple new files and configurations to enhance the functionality of a Python application. Key additions include a new Changes
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Actionable comments posted: 39
🧹 Outside diff range and nitpick comments (36)
hivemind_etl/website/crawlee_client.py (2)
112-112: Make the crawl timeout duration configurableThe timeout for the crawling operation is hardcoded to 3600 seconds (1 hour). To improve flexibility and reusability, consider making the timeout duration a parameter of the
crawlmethod or an instance variable. This allows users to specify different timeouts as needed.Example modification:
async def crawl(self, links: list[str], timeout: int = 3600) -> list[dict[str, Any]]: # ... await asyncio.wait_for(self.crawler.run(), timeout=timeout) # ...
78-114: Enhance type annotations for crawled dataThe
crawlmethod returnslist[dict[str, Any]], usingAnyfor the dictionary values. For better type safety and code clarity, consider defining a customTypedDictor a data class to represent the structure of the crawled data. This makes the code more self-documenting and helps with static type checking.Example using
TypedDict:from typing import TypedDict class CrawledData(TypedDict): url: str title: str inner_text: str # Update the return type annotation async def crawl(self, links: list[str]) -> list[CrawledData]: # ...docker-entrypoint.sh (1)
1-6: Consider architectural improvements for CI/CD flexibilityThe script could benefit from some architectural improvements to make it more flexible and maintainable in a CI/CD context.
- Consider parameterizing paths and configuration:
#!/usr/bin/env bash set -eo pipefail # Configuration with defaults COVERAGE_DIR=${COVERAGE_DIR:-"coverage"} COVERAGE_FILE=${COVERAGE_FILE:-".coverage"} LCOV_OUTPUT=${LCOV_OUTPUT:-"${COVERAGE_DIR}/lcov.info"} TEST_OMIT=${TEST_OMIT:-"tests/*"} # Add logging for CI/CD visibility log() { echo "[$(date +'%Y-%m-%d %H:%M:%S')] $*" }
- Consider adding a cleanup trap:
# Cleanup on exit trap 'rm -f ${COVERAGE_FILE}' EXITThese changes would make the script more configurable and maintainable in different CI/CD environments.
Dockerfile (1)
1-17: Consider using multi-platform buildsSince this is a new service setup, consider adding multi-platform build support using
buildxto ensure the image can run on different architectures (amd64, arm64).Example configuration:
# .github/workflows/docker-build.yml name: Build and Push Docker Image jobs: build: runs-on: ubuntu-latest steps: - uses: docker/setup-buildx-action@v1 - uses: docker/build-push-action@v2 with: platforms: linux/amd64,linux/arm64 push: true tags: your-registry/your-image:latestworker.py (2)
31-32: Improve script entry point with proper signal handlingThe entry point should handle signals properly and ensure clean shutdown.
Apply this diff:
if __name__ == "__main__": - asyncio.run(main()) + try: + asyncio.run(main()) + except KeyboardInterrupt: + logger.info("Received shutdown signal") + except Exception as e: + logger.error(f"Fatal error: {e}") + raise
1-32: Consider adding operational featuresFor production readiness, consider implementing:
- Health check endpoints for monitoring
- Metrics collection for worker performance
- Configuration for worker concurrency and rate limiting
- Circuit breakers for external service calls
- Retry policies for failed activities
Would you like assistance in implementing any of these features?
utils/temporal_client.py (3)
6-6: Remove extra empty lineThere's an unnecessary extra empty line between imports and class definition.
from temporalio.client import Client - class TemporalClient:
8-10: Consider moving environment loading to application startupLoading environment variables in the constructor creates side effects and makes the class harder to test. Consider:
- Moving
load_dotenv()to application startup- Accepting configuration as constructor parameters with environment variables as fallback
- def __init__(self) -> None: - load_dotenv() + def __init__(self, host: str | None = None, port: str | None = None, api_key: str | None = None) -> None: + self.host = host + self.port = port + self.api_key = api_key
1-56: Consider enhancing the client with additional infrastructure featuresAs this is a crucial infrastructure component, consider adding:
- Connection pooling to reuse connections
- Retry mechanism with exponential backoff for connection failures
- Health check method to verify connection status
- Proper connection cleanup in case of errors
- Comprehensive logging for debugging connection issues
- Documentation about usage patterns and configuration requirements
Would you like me to provide implementation examples for any of these features?
hivemind_etl/website/module.py (3)
6-6: Add a class-level docstring.Please add a docstring describing the purpose and responsibilities of the
ModulesWebsiteclass.class ModulesWebsite(ModulesBase): + """ + Handles ETL operations for website-based learning platforms. + + This class is responsible for retrieving and processing website community data, + including their associated URLs and platform metadata. + """
44-56: Add input validation for website links.The method should validate the website links before adding them to the output to ensure data quality.
try: website_links = self.get_platform_metadata( platform_id=platform_id, metadata_name="resources", ) + # Validate website links + if not isinstance(website_links, list): + raise ValueError("Website links must be a list") + + if not all(isinstance(link, str) for link in website_links): + raise ValueError("All website links must be strings") + communities_data.append( { "community_id": str(community),
31-32: Consider adding pagination for large datasets.The method fetches all modules at once, which might cause memory issues with large datasets. Consider implementing pagination or streaming for better scalability.
hivemind_etl/activities.py (4)
12-22: Consider improving error handling and instance managementThe current implementation could be enhanced in two ways:
- Consider injecting ModulesWebsite as a dependency rather than creating a new instance on every call
- The except block catches all exceptions indiscriminately
Consider this improvement:
@activity.defn -async def get_communities() -> list[dict[str, Any]]: +async def get_communities(modules_website: ModulesWebsite = None) -> list[dict[str, Any]]: """Fetch all communities that need to be processed.""" try: - communities = ModulesWebsite().get_learning_platforms() + modules_website = modules_website or ModulesWebsite() + communities = modules_website.get_learning_platforms() logger.info(f"Found {len(communities)} communities to process") return communities - except Exception as e: + except (ConnectionError, ValueError) as e: logger.error(f"Error fetching communities: {str(e)}") raise
24-38: Enhance type hints and consider instance reuseThe function could benefit from more specific type hints for the URLs parameter and better instance management.
Consider these improvements:
+from typing import Any, Sequence +from urllib.parse import ParseResult + @activity.defn -async def extract_website(urls: list[str], community_id: str) -> list[dict]: +async def extract_website( + urls: Sequence[str | ParseResult], + community_id: str, + website_etl: WebsiteETL = None +) -> list[dict[str, Any]]: """Extract data from website URLs.""" try: logger.info( f"Starting extraction for community {community_id} with {len(urls)} URLs" ) - website_etl = WebsiteETL(community_id=community_id) + website_etl = website_etl or WebsiteETL(community_id=community_id)
54-65: Add return type hint and review sync operationThe function is missing a return type annotation and contains a potentially blocking synchronous operation.
Apply this improvement:
@activity.defn -async def load_data(documents: list[dict], community_id: str) -> None: +async def load_data( + documents: list[dict[str, Any]], + community_id: str, + website_etl: WebsiteETL = None +) -> None: """Load the transformed data into the database.""" try: logger.info(f"Starting data load for community {community_id}") - website_etl = WebsiteETL(community_id=community_id) + website_etl = website_etl or WebsiteETL(community_id=community_id)
67-69: Remove or properly document test functionThis appears to be a test/placeholder function. Either remove it if it's not needed or properly document its purpose.
If keeping the function, consider:
@activity.defn -async def say_hello(): +async def say_hello() -> int: + """Test activity that returns the number 7. + + This is a placeholder activity for testing Temporal workflow registration. + """ return 7tests/unit/test_website_etl.py (4)
10-18: Add type hints for better code maintainabilityConsider adding type hints to improve code clarity and enable better IDE support.
- def setUp(self): + def setUp(self) -> None: """ Setup for the test cases. Initializes a WebsiteETL instance with mocked dependencies. """ load_dotenv() - self.community_id = "test_community" - self.website_etl = WebsiteETL(self.community_id) - self.website_etl.crawlee_client = AsyncMock() - self.website_etl.ingestion_pipeline = MagicMock() + self.community_id: str = "test_community" + self.website_etl: WebsiteETL = WebsiteETL(self.community_id) + self.website_etl.crawlee_client: AsyncMock = AsyncMock() + self.website_etl.ingestion_pipeline: MagicMock = MagicMock()
20-38: Add error handling test casesThe current test only covers the happy path. Consider adding test cases for:
- Empty URL list
- Failed crawl attempts
- Invalid response structure
Example addition:
async def test_extract_empty_urls(self): """Test extract method with empty URL list.""" urls = [] extracted_data = await self.website_etl.extract(urls) self.assertEqual(extracted_data, []) self.website_etl.crawlee_client.crawl.assert_not_awaited() async def test_extract_crawl_failure(self): """Test extract method when crawl fails.""" urls = ["https://example.com"] self.website_etl.crawlee_client.crawl.side_effect = Exception("Crawl failed") with self.assertRaises(Exception): await self.website_etl.extract(urls)
39-64: Enhance document attribute verificationWhile the current test verifies basic attributes, consider:
- Testing edge cases (empty text, missing metadata)
- Verifying all Document attributes comprehensively
- Adding test cases for invalid input data
def test_transform_edge_cases(self): """Test transform method with edge cases.""" raw_data = [ { "url": "https://example.com", "inner_text": "", # empty text "title": None, # missing title } ] documents = self.website_etl.transform(raw_data) self.assertEqual(len(documents), 1) self.assertEqual(documents[0].text, "") self.assertEqual(documents[0].metadata.get("title"), None)
65-81: Add pipeline error handling testsThe current test only verifies successful pipeline execution. Consider adding:
- Test cases for pipeline failures
- Verification of error propagation
- Tests for different document batch sizes
def test_load_pipeline_failure(self): """Test load method when pipeline fails.""" documents = [ Document( doc_id="https://example.com", text="Example text", metadata={"title": "Example", "url": "https://example.com"}, ) ] self.website_etl.ingestion_pipeline.run_pipeline.side_effect = Exception("Pipeline failed") with self.assertRaises(Exception): self.website_etl.load(documents)hivemind_etl/website/website_etl.py (3)
7-7: Remove extra blank lineThere's an unnecessary extra blank line that can be removed to maintain consistent spacing.
20-20: Consider making collection_name configurableThe collection_name is hardcoded as "website". Consider making it a constructor parameter with "website" as the default value to improve flexibility and reusability.
def __init__( self, community_id: str, + collection_name: str = "website", ) -> None:
8-94: Consider architectural improvementsWhile the class is well-structured, consider these architectural improvements:
- Add retry mechanism for the crawling and ingestion operations
- Implement batch processing for large document sets
- Add metrics collection for monitoring ETL performance
- Consider implementing a rollback mechanism for failed operations
Would you like me to provide implementation details for any of these improvements?
tests/unit/test_temporal_client.py (5)
8-8: Add class-level docstring.Add a descriptive docstring to document the purpose and scope of the test class.
class TestTemporalClient(unittest.IsolatedAsyncioTestCase): + """Unit tests for the TemporalClient class. + + Tests initialization, credential loading, and client connection functionality. + """
11-15: Consider using more realistic test values.The default test values could be more representative of actual production values. For example:
self.default_env = { - "TEMPORAL_HOST": "test-host", - "TEMPORAL_API_KEY": "test-api-key", - "TEMPORAL_PORT": "8080", + "TEMPORAL_HOST": "localhost", + "TEMPORAL_API_KEY": "test-temporal-key-12345", + "TEMPORAL_PORT": "7233", # Default Temporal port }
53-59: Add additional port validation test cases.Consider adding tests for invalid port values (non-numeric, out of range).
def test_load_credentials_invalid_port(self): """Test handling of invalid port value""" with patch.dict("os.environ", {"TEMPORAL_PORT": "invalid"}): with self.assertRaises(ValueError) as context: self.client._load_credentials() self.assertIn("TEMPORAL_PORT must be a valid port number", str(context.exception))
67-83: Consider testing connection retry behavior.The current test only verifies a single connection attempt. Consider adding tests for retry behavior in case of temporary connection issues.
async def test_get_client_retry_success(self): """Test client connection with retry""" mock_client = AsyncMock(spec=Client) with patch("temporalio.client.Client.connect", new_callable=AsyncMock) as mock_connect: mock_connect.side_effect = [Exception("Temporary error"), mock_client] result = await self.client.get_client() self.assertEqual(mock_connect.call_count, 2) self.assertEqual(result, mock_client)
1-97: Consider future test organization and maintainability.As the TemporalClient functionality grows, consider:
- Organizing tests into separate test classes based on functionality (e.g.,
TestTemporalClientInitialization,TestTemporalClientConnection)- Creating shared fixtures for common test scenarios
- Adding integration tests in a separate file for end-to-end workflow testing
This will help maintain test clarity and reduce duplication as the test suite expands.
🧰 Tools
🪛 Ruff (0.7.0)
3-3:
osimported but unusedRemove unused import:
os(F401)
27-27: Local variable
clientis assigned to but never usedRemove assignment to unused variable
client(F841)
tests/integration/test_module_website.py (2)
18-20: Enhance empty data test coverage.Add a docstring and verify that collections are actually empty before asserting the result.
def test_get_website_communities_data_empty_data(self): + """ + Test that get_learning_platforms returns empty list when no data exists. + """ + # Verify collections are empty + self.assertEqual(self.client["Core"]["modules"].count_documents({}), 0) + self.assertEqual(self.client["Core"]["platforms"].count_documents({}), 0) result = self.modules_website.get_learning_platforms() self.assertEqual(result, [])
1-128: Consider improving test isolation with a test database.The tests are tightly coupled to MongoDB and manipulate collections directly. Consider:
- Using a separate test database instead of the "Core" database
- Implementing a test fixture or context manager to handle database setup/teardown
- Adding configuration to support different test environments
Example configuration approach:
# config.py class TestConfig: MONGODB_DATABASE = "test_core" # test_base.py class MongoTestCase(unittest.TestCase): @classmethod def setUpClass(cls): cls.client = MongoSingleton.get_instance().get_client() cls.db = cls.client[TestConfig.MONGODB_DATABASE] def setUp(self): # Drop collections def tearDown(self): # Clean uptest_run_workflow.py (2)
1-1: Improve the header comment styleConsider using a more professional docstring format for the file description.
-############ Script for showing how to set up a workflow ######### +""" +Demonstrates the setup and interaction with Temporal workflows. + +This script provides examples of creating, monitoring, and managing Temporal +workflows, specifically focused on the WebsiteIngestionSchedulerWorkflow. +"""
30-40: Remove or update commented codeThe commented-out workflow start code should either be removed or updated to reflect current requirements.
If this is meant to serve as an example, consider moving it to a separate example file or adding it to documentation.
workflows.py (4)
16-17: Avoid configuring logging at the module levelUsing
logging.basicConfigin a module can interfere with logging configurations in other parts of your application. It's better to configure logging in the main entry point of your application or within aif __name__ == "__main__":block.Apply this diff to remove or relocate the logging configuration:
-logging.basicConfig(level=logging.INFO)Alternatively, configure the logger for this module only:
logger = logging.getLogger(__name__) +logger.setLevel(logging.INFO)
29-31: Use lazy logging to improve performanceFormatting log messages using f-strings interpolates the string even if the log level is higher than
INFO. By passing format strings and arguments to the logger, you defer interpolation until it's needed.Apply this diff to modify the log statement:
logger.info( - f"Starting workflow for community {community_id} | platform {platform_id}" + "Starting workflow for community %s | platform %s", + community_id, + platform_id )
78-79: Reevaluate retry policy forget_communitiesactivityWith
maximum_attempts=1, theget_communitiesactivity won't retry if it fails. If this isn't intentional, consider increasing the number of attempts.Apply this diff:
retry_policy=RetryPolicy( - maximum_attempts=1, + maximum_attempts=3, ),
89-91: Consider increasingmaximum_attemptsfor child workflowsCurrently, child workflows won't retry on failure due to
maximum_attempts=1. If you want child workflows to retry, adjust themaximum_attempts.Apply this diff:
retry_policy=RetryPolicy( - maximum_attempts=1, + maximum_attempts=3, ),
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
📒 Files selected for processing (18)
.env.example(1 hunks).gitignore(1 hunks)Dockerfile(1 hunks)docker-compose.yml(1 hunks)docker-entrypoint.sh(1 hunks)hivemind_etl/activities.py(1 hunks)hivemind_etl/website/crawlee_client.py(1 hunks)hivemind_etl/website/module.py(1 hunks)hivemind_etl/website/website_etl.py(1 hunks)registry.py(1 hunks)requirements.txt(1 hunks)test_run_workflow.py(1 hunks)tests/integration/test_module_website.py(1 hunks)tests/unit/test_temporal_client.py(1 hunks)tests/unit/test_website_etl.py(1 hunks)utils/temporal_client.py(1 hunks)worker.py(1 hunks)workflows.py(1 hunks)
✅ Files skipped from review due to trivial changes (4)
- .env.example
- .gitignore
- registry.py
- requirements.txt
🧰 Additional context used
🪛 yamllint (1.29.0-1)
docker-compose.yml
[error] 114-114: no new line character at the end of file
(new-line-at-end-of-file)
🪛 Ruff (0.7.0)
hivemind_etl/website/crawlee_client.py
74-74: Within an except clause, raise exceptions with raise ... from err or raise ... from None to distinguish them from errors in exception handling
(B904)
116-116: Within an except clause, raise exceptions with raise ... from err or raise ... from None to distinguish them from errors in exception handling
(B904)
tests/unit/test_temporal_client.py
3-3: os imported but unused
Remove unused import: os
(F401)
27-27: Local variable client is assigned to but never used
Remove assignment to unused variable client
(F841)
🔇 Additional comments (10)
docker-entrypoint.sh (1)
1-1: Verify Docker integration setup
Ensure this script is properly integrated with Docker configuration.
✅ Verification successful
Docker integration is properly configured
The script is correctly integrated with Docker setup:
- Dockerfile properly copies and sets executable permissions (
chmod +x) for docker-entrypoint.sh - The script is set as the CMD for the test target:
CMD ["./docker-entrypoint.sh"]
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Check if Dockerfile sets correct permissions
rg -l "COPY.*docker-entrypoint.sh" | xargs -I {} rg "RUN chmod \+x.*docker-entrypoint.sh" {}
# Check if docker-compose references this script
rg "docker-entrypoint.sh" -g "docker-compose*.yml"
Length of output: 149
Script:
#!/bin/bash
# Let's first check if Dockerfile exists and its content
fd Dockerfile
# Check for any docker-compose files
fd "docker-compose"
# If files exist, let's examine their content
fd "Dockerfile|docker-compose" -x cat {}
# Also check if the entrypoint script is referenced anywhere else
rg -l "docker-entrypoint"
Length of output: 2973
Dockerfile (1)
6-8: Verify the test entrypoint script contents
The docker-entrypoint.sh script is used for testing, but its contents should be verified to ensure proper test execution and coverage reporting.
✅ Verification successful
Test entrypoint script looks well-configured for test execution and coverage reporting
The docker-entrypoint.sh script is properly set up to:
- Run tests with pytest while collecting coverage data
- Exclude test files from coverage analysis
- Generate lcov coverage report
- Exit with failure if tests don't pass
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Check if the entrypoint script exists and view its contents
if [ -f docker-entrypoint.sh ]; then
echo "Content of docker-entrypoint.sh:"
cat docker-entrypoint.sh
else
echo "Warning: docker-entrypoint.sh not found"
fi
Length of output: 330
worker.py (1)
9-9: Verify workflow and activity registration
Ensure that the registry properly defines and exports the required workflows and activities.
✅ Verification successful
Let me gather more information about the workflow and activity definitions since we only see their registration but not their implementations.
Registry integration is properly implemented
The verification shows that both WORKFLOWS and ACTIVITIES are properly defined and implemented:
- All workflows (CommunityWebsiteWorkflow, WebsiteIngestionSchedulerWorkflow, SayHello) are defined in workflows.py with proper implementations
- All activities (get_communities, extract_website, transform_data, load_data, say_hello) are implemented in hivemind_etl/activities.py
- The registry.py correctly exports these workflows and activities in the respective lists
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Verify workflow and activity registration in registry.py
# Check registry implementation
echo "Checking registry implementation..."
rg -A 10 "WORKFLOWS\s*="
rg -A 10 "ACTIVITIES\s*="
# Check for workflow definitions
echo "Checking workflow definitions..."
ast-grep --pattern 'class $name(WorkflowInterface)'
# Check for activity definitions
echo "Checking activity definitions..."
ast-grep --pattern '@activity.defn\ndef $name'
Length of output: 904
Script:
#!/bin/bash
# Search for workflow class definitions
echo "Checking workflow class implementations..."
rg -A 10 "class (CommunityWebsiteWorkflow|WebsiteIngestionSchedulerWorkflow|SayHello)"
# Search for activity function implementations
echo "Checking activity function implementations..."
rg -A 5 "def (get_communities|extract_website|transform_data|load_data|say_hello)"
# Check if these are defined in separate files
echo "Checking for potential workflow/activity files..."
fd -e py --exec grep -l "(CommunityWebsiteWorkflow|WebsiteIngestionSchedulerWorkflow|SayHello|get_communities|extract_website|transform_data|load_data|say_hello)"
Length of output: 3948
hivemind_etl/website/module.py (1)
31-63: Verify handling of sensitive identifiers.
The method returns community and platform IDs. Let's verify that these IDs don't contain or expose any sensitive information.
✅ Verification successful
Based on the shell script results, I can now generate the final response:
Community and platform IDs are properly handled as internal identifiers
The verification shows that:
- The IDs are MongoDB ObjectIDs (e.g. "6579c364f1120850414e0dc5") which are opaque identifiers that don't contain PII
- They are only used internally for:
- ETL workflow identification and tracking
- Database operations and relationships
- Logging (with appropriate error handling)
- The IDs are not exposed through any public-facing APIs
- Proper string conversion is applied when handling these IDs
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Check for potential PII patterns in community and platform IDs
# Search for any logging of these IDs in other files
rg -g '!*.{json,md}' -A 2 -B 2 'community_id|platform_id'
# Check if these IDs are used in any public-facing APIs
ast-grep --pattern 'def $func($$$) {
$$$
return $$$community_id$$$
}'
Length of output: 12891
hivemind_etl/activities.py (2)
40-52: Review synchronous operation in async context
The transform method is called synchronously within an async function. If this operation is CPU-intensive or time-consuming, it could block the event loop.
Let's check the implementation of the transform method:
Consider moving CPU-intensive operations to a separate process pool if the transform operation is heavyweight.
5-7: Verify the necessity of using unsafe imports
The use of workflow.unsafe.imports_passed_through() could potentially lead to security issues. This pattern bypasses Temporal's sandbox protection mechanisms.
Let's check if there are any safer alternatives being used elsewhere in the codebase:
✅ Verification successful
Let me gather more context about the imported modules and their usage to better understand if unsafe imports are truly necessary.
Based on the gathered context, I can now generate the final response:
The use of workflow.unsafe.imports_passed_through() is necessary and justified
The imported modules (ModulesWebsite and WebsiteETL) have external dependencies like tc_hivemind_backend, llama_index, and custom clients that need to be accessed within Temporal activities. The unsafe imports are required here because:
WebsiteETLneeds access to database connections and external services (CrawleeClient)ModulesWebsiteinherits fromModulesBasewhich handles database operations- These dependencies cannot be serialized/deserialized by Temporal's standard sandbox
The pattern is used correctly and specifically for these infrastructure-dependent imports, while keeping standard library imports outside the unsafe block.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Search for other instances of imports_passed_through usage
rg "imports_passed_through" -A 3 -B 3
# Search for alternative import patterns with Temporal
rg "from temporalio import" -A 3
Length of output: 918
Script:
#!/bin/bash
# Check the content of the imported modules to understand their dependencies
fd "module.py|website_etl.py" --exec cat {}
# Look for any documentation about the import pattern
fd "README|CONTRIBUTING" --extension md --exec cat {}
# Check if these modules are used in other places without unsafe imports
rg "ModulesWebsite|WebsiteETL" -A 3 -B 3
Length of output: 12833
docker-compose.yml (1)
34-42: Review CORS configuration for security
The current CORS setting might be too restrictive for development or too permissive for production. Consider making it environment-specific.
temporal-ui:
image: temporalio/ui:2.31.2
environment:
- TEMPORAL_ADDRESS=temporal:7233
- - TEMPORAL_CORS_ORIGINS=http://localhost:8080
+ - TEMPORAL_CORS_ORIGINS=${TEMPORAL_UI_CORS_ORIGINS:-http://localhost:8080}tests/unit/test_temporal_client.py (2)
1-6: LGTM! All imports are necessary.
The imports are well-organized and include all required dependencies. Note that while the static analyzer flags os as unused, it's actually used indirectly through patch.dict("os.environ", ...).
🧰 Tools
🪛 Ruff (0.7.0)
3-3: os imported but unused
Remove unused import: os
(F401)
96-97: LGTM! Standard unittest main block.
The main block is correctly implemented for running the tests directly.
workflows.py (1)
38-42:
Verify maximum_attempts in RetryPolicy
Setting maximum_attempts=1 means the activity will not retry upon failure. Given that you have specified retry intervals, consider increasing maximum_attempts to enable retries.
Apply this diff to adjust the retry policy:
retry_policy=RetryPolicy(
initial_interval=timedelta(seconds=10),
maximum_interval=timedelta(minutes=5),
- maximum_attempts=1,
+ maximum_attempts=3,
),Run the following script to search for other instances where maximum_attempts is set to 1:
| # Wait for all child workflows to complete | ||
| await asyncio.gather(*[handle for handle in child_workflows]) |
There was a problem hiding this comment.
Correctly await child workflows to ensure completion
Using await asyncio.gather(*child_workflows) does not wait for the child workflows to complete since child_workflows contains workflow handles, not coroutines. You need to call handle.result() on each handle to await their completion.
Apply this diff to properly await child workflows:
# Wait for all child workflows to complete
- await asyncio.gather(*[handle for handle in child_workflows])
+ await asyncio.gather(*[handle.result() for handle in child_workflows])📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| # Wait for all child workflows to complete | |
| await asyncio.gather(*[handle for handle in child_workflows]) | |
| # Wait for all child workflows to complete | |
| await asyncio.gather(*[handle.result() for handle in child_workflows]) |
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Actionable comments posted: 4
🧹 Outside diff range and nitpick comments (2)
hivemind_etl/activities.py (2)
10-11: Consider enhancing logging configurationThe basic logging setup could be more configurable to support different environments.
Consider moving logging configuration to a separate module with environment-specific settings:
-logging.basicConfig(level=logging.INFO) -logger = logging.getLogger(__name__) +from hivemind_etl.utils.logging import setup_logging + +logger = setup_logging(__name__)
69-71: Remove or document test functionThe
say_hellofunction appears to be a test/placeholder with no clear purpose.Either:
- Remove this function if it's not needed
- Add proper documentation explaining its purpose
- If it's for testing, move it to a test file
-@activity.defn -async def say_hello(): - return 7
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[error] 2-2: trailing spaces
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hivemind_etl/activities.py (1)
6-8: Review the use of unsafe imports in Temporal workflow
The use of workflow.unsafe.imports_passed_through() could have security implications. This bypasses Temporal's sandbox protection for workflow code.
Consider:
- Moving the imports outside the unsafe block if possible
- Documenting why unsafe imports are necessary
- Implementing proper input validation in the imported modules
✅ Verification successful
Let me gather more context about the usage of these imports and the workflow patterns.
Let me check the workflow implementation patterns to understand if the unsafe imports are necessary.
Based on the gathered context, I can now provide the final response:
The use of workflow.unsafe.imports_passed_through() is necessary and correctly implemented
The unsafe imports block is required here because ModulesWebsite and WebsiteETL are used within Temporal activity functions. These classes contain external dependencies and I/O operations that must be isolated from the workflow code. The current implementation follows Temporal's best practices by:
- Using unsafe imports only in the activities file, not in workflows
- Keeping the imports scoped to activity functions that handle I/O operations
- Properly separating workflow logic from activity implementations
🏁 Scripts executed
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Script:
#!/bin/bash
# Check if these modules are used in other workflow files
rg -l "workflow.unsafe.imports_passed_through"
Length of output: 73
Script:
#!/bin/bash
# Check how ModulesWebsite and WebsiteETL are used in the codebase
rg -A 5 "ModulesWebsite|WebsiteETL"
# Check for any workflow-related patterns or documentation
fd -e md -e py -e txt . -x grep -l "workflow"
Length of output: 5120
Script:
#!/bin/bash
# Check workflow implementation patterns
rg -A 10 "@workflow.defn|@activity.defn"
# Check the content of workflow-related files
cat workflows.py
Length of output: 8211
| @activity.defn | ||
| async def get_communities() -> list[dict[str, Any]]: | ||
| """Fetch all communities that need to be processed.""" | ||
| try: | ||
| communities = ModulesWebsite().get_learning_platforms() | ||
| logger.info(f"Found {len(communities)} communities to process") | ||
| return communities | ||
| except Exception as e: | ||
| logger.error(f"Error fetching communities: {str(e)}") | ||
| raise | ||
|
|
There was a problem hiding this comment.
🛠️ Refactor suggestion
Enhance error handling and resource management
The function could benefit from more specific error handling and proper resource management.
Consider these improvements:
@activity.defn
async def get_communities() -> list[dict[str, Any]]:
"""Fetch all communities that need to be processed."""
try:
- communities = ModulesWebsite().get_learning_platforms()
+ async with ModulesWebsite() as module:
+ communities = await module.get_learning_platforms()
logger.info(f"Found {len(communities)} communities to process")
return communities
- except Exception as e:
+ except ConnectionError as e:
+ logger.error(f"Connection error while fetching communities: {str(e)}")
+ raise
+ except ValueError as e:
+ logger.error(f"Invalid data received from learning platforms: {str(e)}")
+ raise
+ except Exception as e:
logger.error(f"Error fetching communities: {str(e)}")
raiseCommittable suggestion skipped: line range outside the PR's diff.
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Actionable comments posted: 10
🧹 Outside diff range and nitpick comments (6)
docker-compose-dev.yml (2)
69-92: Optimize Qdrant configuration and health checkingSeveral improvements recommended:
- Use named volume instead of local directory mount
- Remove explicit container_name
- Consider integrating healthcheck directly into Qdrant service
Apply these improvements:
qdrant: image: qdrant/qdrant:v1.9.2 restart: always - container_name: qdrant ports: - 6333:6333 volumes: - - ./qdrant_data:/qdrant_data + - qdrant_data:/qdrant_data + healthcheck: + test: ["CMD", "curl", "-f", "http://localhost:6333/readyz"] + interval: 10s + timeout: 2s + retries: 5 networks: - temporal-network - qdrant-healthcheck: - restart: always - image: curlimages/curl:8.11.0 - entrypoint: ["/bin/sh", "-c", "--", "while true; do sleep 30; done;"] - depends_on: - - qdrant - healthcheck: - test: ["CMD", "curl", "-f", "http://qdrant:6333/readyz"] - interval: 10s - timeout: 2s - retries: 5 - networks: - - temporal-networkDon't forget to:
- Add
qdrant_datato the volumes section- Update service dependencies that reference
qdrant-healthcheck
1-114: Review service dependencies and startup orderConsider implementing wait-for scripts or using tools like
dockerizeto ensure proper service startup order. The currentdepends_ononly waits for services to start but doesn't ensure they're ready to accept connections.Example implementation:
- Add a wait-for-it script to the worker service
- Update the worker service entrypoint to wait for dependent services
worker: build: context: . target: dev + entrypoint: ["./wait-for-it.sh", "temporal:7233", "--", "python", "worker.py"] env_file: - .env🧰 Tools
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[error] 114-114: no new line character at the end of file
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docker-compose-test.yml (4)
3-35: Add healthcheck for worker serviceConsider adding a health check to ensure the worker service is running properly, similar to other services.
Example addition:
networks: - temporal-network + healthcheck: + test: ["CMD", "curl", "-f", "http://localhost:8080/health"] + interval: 30s + timeout: 10s + retries: 3
38-38: Document version pinning strategyThe Temporal services are using specific versions:
temporalio/auto-setup:1.25.2.0temporalio/ui:2.31.2Consider documenting the version pinning strategy and update process in a README file.
Also applies to: 56-56
128-129: Remove unused volume definitionThe volume
data1is defined but not used by any service. Consider removing it if not needed.
135-135: Add newline at end of fileAdd a newline character at the end of the file to comply with YAML formatting standards.
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docker-compose-dev.yml
[error] 114-114: no new line character at the end of file
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docker-compose-test.yml
[error] 135-135: no new line character at the end of file
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Actionable comments posted: 6
🧹 Outside diff range and nitpick comments (7)
docker-compose.dev.yml (4)
3-14: Consider adding health check and resource limits for the worker serviceFor better production readiness and reliability:
- Add a health check to ensure proper orchestration
- Define resource limits to prevent resource exhaustion
worker: build: context: . target: prod env_file: - .env + deploy: + resources: + limits: + cpus: '1' + memory: 1G + healthcheck: + test: ["CMD", "python", "-c", "import http.client; conn = http.client.HTTPConnection('localhost:8000'); conn.request('GET', '/health'); response = conn.getresponse(); exit(0 if response.status == 200 else 1)"] + interval: 30s + timeout: 10s + retries: 3 depends_on: - temporal - mongo - redis networks: - temporal-network
107-108: Remove unused volume definitionThe volume
data1is defined but not used by any service. Consider removing it if it's not needed.
114-114: Add newline at end of fileAdd a newline character at the end of the file to comply with POSIX standards.
temporal-network: driver: bridge - name: temporal-network + name: temporal-network +🧰 Tools
🪛 yamllint (1.29.0-1)
[error] 114-114: no new line character at the end of file
(new-line-at-end-of-file)
1-2: Add documentation commentsConsider adding comments at the beginning of the file to document:
- The purpose of each service
- Required environment variables
- Setup instructions
+# Development environment setup for Temporal Worker +# Required environment variables: +# - TEMPORAL_POSTGRES_USER: PostgreSQL username for Temporal +# - TEMPORAL_POSTGRES_PWD: PostgreSQL password for Temporal +# - TEMPORAL_POSTGRES_HOST: PostgreSQL host for Temporal +# - REDIS_PASSWORD: Redis password + services:docker-compose.test.yml (3)
3-35: Add healthcheck for worker serviceOther services have health checks defined, but the worker service is missing one. This could lead to race conditions where dependent services might try to use the worker before it's ready.
Consider adding:
worker: build: context: . target: test + healthcheck: + test: ["CMD", "python", "-c", "import requests; requests.get('http://localhost:8000/health')"] + interval: 30s + timeout: 10s + retries: 3 + start_period: 40s environment:
114-126: Enhance Redis security configurationConsider these security improvements:
- Add password protection
- Remove port exposure if not needed for tests
redis: image: redis:7.0.11 restart: unless-stopped + command: redis-server --requirepass ${REDIS_PASSWORD} healthcheck: test: [ "CMD", "redis-cli", "--raw", "incr", "ping" ] interval: 10s timeout: 10s retries: 2 start_period: 10s - ports: - - 6379:6379
135-135: Add newline at end of fileAdd a newline character at the end of the file to comply with POSIX standards.
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[error] 114-114: no new line character at the end of file
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docker-compose.test.yml
[error] 135-135: no new line character at the end of file
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🔇 Additional comments (1)
docker-compose.test.yml (1)
55-63: Review CORS configuration for test environments
The CORS origin is strictly set to http://localhost:8080, which might be too restrictive for different test environments.
Consider making it configurable:
- TEMPORAL_CORS_ORIGINS=http://localhost:8080
+ TEMPORAL_CORS_ORIGINS=${TEMPORAL_CORS_ORIGINS:-http://localhost:8080}| - MONGODB_HOST=mongo | ||
| - MONGODB_PORT=27017 |
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Fix port mismatch between worker and MongoDB service
The worker is configured to use port 27017, but MongoDB is mapped to 27018 on the host. This mismatch won't affect container-to-container communication but could cause confusion.
Either update the worker config:
- MONGODB_PORT=27017
+ MONGODB_PORT=27018Or update the MongoDB port mapping:
- - 27018:27017
+ - 27017:27017Also applies to: 76-77
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Actionable comments posted: 10
🧹 Outside diff range and nitpick comments (7)
requirements.txt (1)
1-10: Consider consistent version specification strategyThe requirements file mixes different version specification strategies:
- Range specifications:
python-dotenv>=1.0.0, <2.0.0,motor>=3.6, <4.0.0- Pinned versions: Most other packages
Consider adopting a consistent approach:
- Use pinned versions (
==) for reproducible builds- Or use ranges (
>=) for all packages to allow compatible updateshivemind_etl/activities.py (2)
10-11: Make logging level configurable via environment variables.Consider making the logging level configurable through environment variables for better flexibility across different environments.
-logging.basicConfig(level=logging.INFO) +import os +log_level = os.getenv('LOG_LEVEL', 'INFO') +logging.basicConfig(level=getattr(logging, log_level))
1-71: Consider implementing a consistent asynchronous pattern across the ETL pipeline.The codebase mixes synchronous and asynchronous operations, which could lead to blocking operations and reduced performance. Consider:
- Making all ETL operations (extract, transform, load) consistently asynchronous
- Using async database operations
- Implementing proper connection pooling and resource management
docker-compose.test.yml (1)
118-121: Add newline at end of fileAdd a newline character at the end of the file to comply with YAML formatting standards.
Apply this diff:
networks: temporal-network: driver: bridge - name: temporal-network + name: temporal-network +🧰 Tools
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[error] 121-121: no new line character at the end of file
(new-line-at-end-of-file)
workflows.py (1)
24-31: Consider adding error logging for community info validationThe workflow immediately uses dictionary keys without validation. Consider adding validation to ensure required fields exist.
async def run(self, community_info: dict) -> None: + required_fields = ["community_id", "platform_id", "urls"] + missing_fields = [field for field in required_fields if field not in community_info] + if missing_fields: + raise ValueError(f"Missing required fields: {missing_fields}") + community_id = community_info["community_id"] platform_id = community_info["platform_id"] urls = community_info["urls"]test_run_workflow.py (2)
4-18: Improve import organization and type annotationsConsider organizing imports and adding type hints:
- Remove extra blank lines between imports
- Add type annotations for imported types
import os from datetime import timedelta from dotenv import load_dotenv - import asyncio from utils.temporal_client import TemporalClient - from temporalio.client import ( - Schedule, - ScheduleActionStartWorkflow, - ScheduleIntervalSpec, - ScheduleSpec, - ScheduleState, + Schedule as TemporalSchedule, + ScheduleActionStartWorkflow as TemporalScheduleAction, + ScheduleIntervalSpec as TemporalIntervalSpec, + ScheduleSpec as TemporalScheduleSpec, + ScheduleState as TemporalScheduleState, )
1-2: Enhance file documentationThe current file description is minimal. Consider adding comprehensive documentation that includes:
- Purpose and scope of the script
- Prerequisites and setup instructions
- Usage examples
- Expected environment variables
-############ Script for showing how to set up a workflow ######### +""" +Temporal Workflow Management Script + +This script demonstrates the setup and management of Temporal workflows, +specifically for the WebsiteIngestionSchedulerWorkflow. It provides +functionality to create schedules, check workflow status, and list +active workflows. + +Prerequisites: + - Temporal server running and accessible + - Required environment variables: + - TEMPORAL_TASK_QUEUE: Name of the Temporal task queue + - TEMPORAL_HOST: Temporal server host + - TEMPORAL_PORT: Temporal server port + +Usage: + python test_run_workflow.py + +The script will create a new schedule for the WebsiteIngestionSchedulerWorkflow +and list all active workflows of that type. +"""
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- registry.py
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docker-compose.test.yml
[error] 121-121: no new line character at the end of file
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🔇 Additional comments (11)
requirements.txt (1)
3-4: Verify database compatibility
Ensure that the specified versions of database clients are compatible with your database servers:
- Redis client (5.0.4) with your Redis server
- MongoDB driver (motor >=3.6) with your MongoDB server
- llama-index storage packages with both databases
Also applies to: 6-6, 10-10
hivemind_etl/activities.py (4)
14-24: Previous review comment about async consistency and error handling is still applicable.
26-40: Previous review comment about input validation and resource optimization is still applicable.
42-54: Previous review comment about performance concerns and async consistency is still applicable.
56-67: Previous review comment about logging strategy and large dataset handling is still applicable.
docker-compose.test.yml (3)
8-29:
Critical: Move sensitive credentials to environment files
Several security concerns need to be addressed:
- API keys and credentials are hardcoded in the compose file
- Test environment lacks proper security isolation
Apply this diff to use environment variables:
environment:
- QDRANT_HOST=qdrant
- QDRANT_PORT=6333
- - QDRANT_API_KEY=
+ - QDRANT_API_KEY=${QDRANT_API_KEY}
- REDIS_HOST=redis
- REDIS_PORT=6379
- - REDIS_PASSWORD=
+ - REDIS_PASSWORD=${REDIS_PASSWORD}
- MONGODB_HOST=mongo
- MONGODB_PORT=27017
- - MONGODB_USER=root
- - MONGODB_PASS=pass
+ - MONGODB_USER=${MONGODB_USER}
+ - MONGODB_PASS=${MONGODB_PASS}
- TEMPORAL_HOST=temporal
- - TEMPORAL_API_KEY=
+ - TEMPORAL_API_KEY=${TEMPORAL_API_KEY}
- TEMPORAL_PORT=7233
- TEMPORAL_TASK_QUEUE=QUEUE_HEAVY
- POSTGRES_DB_PORT=5432
- - POSTGRES_USER=temporal
- - POSTGRES_PWD=temporal
+ - POSTGRES_USER=${POSTGRES_USER}
+ - POSTGRES_PWD=${POSTGRES_PWD}
- POSTGRES_SEEDS=temporal-postgresql
- CHUNK_SIZE=512
- EMBEDDING_DIM=1024
- - OPENAI_API_KEY=sk-example
- - COHERE_API_KEY=cohere_example_key
+ - OPENAI_API_KEY=${OPENAI_API_KEY}
+ - COHERE_API_KEY=${COHERE_API_KEY}84-91: 🛠️ Refactor suggestion
Improve Qdrant service configuration
The current configuration has potential issues:
- Relative path in volume mount could cause problems
- Explicit container naming could cause conflicts in parallel test runs
Apply this diff:
qdrant:
image: qdrant/qdrant:v1.9.2
restart: always
- container_name: qdrant
volumes:
- - ./qdrant_data:/qdrant_data
+ - qdrant_data:/qdrant_data
networks:
- temporal-network
+
+volumes:
+ qdrant_data:62-62: Verify PostgreSQL version compatibility
PostgreSQL 12.21 is being used. Let's verify if this is the latest supported version for Temporal.
✅ Verification successful
PostgreSQL 12.21 is compatible with the current Temporal setup
The PostgreSQL version 12.21 aligns with the Temporal configuration which uses DB=postgres12 in its environment settings. Both docker-compose files (test and dev) consistently use this version, and it's properly integrated with Temporal auto-setup version 1.25.2.0.
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echo -e "\n=== docker-compose.dev.yml ==="
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workflows.py (2)
1-18: LGTM! Well-organized imports and proper logging setup.
The imports are properly structured and the logging configuration follows best practices.
7-13: Verify error handling in imported activities
Let's verify that the imported activities have proper error handling and logging.
✅ Verification successful
Error handling and logging are properly implemented in activities
All imported activities have comprehensive error handling with try-catch blocks and appropriate logging:
get_communities: Logs info about found communities and errors with full exception detailsextract_website: Logs start/completion of extraction and any errors with community contexttransform_data: Logs transformation progress and errors with community contextload_data: Logs data loading progress and errors with community contextsay_hello: Simple activity with basic info logging
Each activity follows consistent error handling patterns:
- Info logging for start/completion
- Error logging with context and full exception details
- Re-raising exceptions for proper error propagation
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$$$
} catch ($err) {
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test_run_workflow.py (1)
20-75: 🛠️ Refactor suggestion
Multiple improvements needed in start_workflow function
The function needs several improvements for production readiness:
- Remove commented out code (lines 29-39, 59-71)
- Add proper type hints
- Implement specific error handling
- Add proper client cleanup
-async def start_workflow():
+async def start_workflow() -> None:
"""Start a new workflow and demonstrate various interactions."""
load_dotenv()
task_queue = os.getenv("TEMPORAL_TASK_QUEUE")
+ if not task_queue:
+ raise ValueError("TEMPORAL_TASK_QUEUE environment variable is not set")
- client = await TemporalClient().get_client()
+ async with TemporalClient() as client: # Assumes implementation of async context manager
+ try:
+ handle = await client.create_schedule(
+ id="website-ingestion-schedule",
+ schedule=Schedule(
+ action=ScheduleActionStartWorkflow(
+ "WebsiteIngestionSchedulerWorkflow",
+ id="schedules-website-ingestion",
+ task_queue=task_queue,
+ ),
+ spec=ScheduleSpec(
+ intervals=[ScheduleIntervalSpec(every=timedelta(hours=1))]
+ ),
+ state=ScheduleState(note="Here's a note on my Schedule."),
+ ),
+ )
+ print(f"Started workflow {handle.id}")
+ except ConnectionError as e:
+ print(f"Connection error while creating schedule: {e}")
+ raise
+ except ValueError as e:
+ print(f"Invalid parameters provided: {e}")
+ raise
+ except Exception as e:
+ print(f"Unexpected error while creating schedule: {e}")
+ raise| - DB=postgres12 | ||
| - DB_PORT=5432 | ||
| - POSTGRES_USER=temporal | ||
| - POSTGRES_PWD=temporal | ||
| - POSTGRES_SEEDS=temporal-postgresql |
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Move Temporal and PostgreSQL credentials to environment files
Hardcoded database credentials pose a security risk.
Apply this diff:
environment:
- DB=postgres12
- DB_PORT=5432
- - POSTGRES_USER=temporal
- - POSTGRES_PWD=temporal
+ - POSTGRES_USER=${POSTGRES_USER}
+ - POSTGRES_PWD=${POSTGRES_PWD}
- POSTGRES_SEEDS=temporal-postgresqlAlso applies to: 64-65
| - MONGO_INITDB_ROOT_USERNAME=root | ||
| - MONGO_INITDB_ROOT_PASSWORD=pass |
There was a problem hiding this comment.
Move MongoDB root credentials to environment files
Hardcoded root credentials pose a security risk.
Apply this diff:
environment:
- - MONGO_INITDB_ROOT_USERNAME=root
- - MONGO_INITDB_ROOT_PASSWORD=pass
+ - MONGO_INITDB_ROOT_USERNAME=${MONGODB_ROOT_USER}
+ - MONGO_INITDB_ROOT_PASSWORD=${MONGODB_ROOT_PASSWORD}📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| - MONGO_INITDB_ROOT_USERNAME=root | |
| - MONGO_INITDB_ROOT_PASSWORD=pass | |
| - MONGO_INITDB_ROOT_USERNAME=${MONGODB_ROOT_USER} | |
| - MONGO_INITDB_ROOT_PASSWORD=${MONGODB_ROOT_PASSWORD} |
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Actionable comments posted: 1
🧹 Outside diff range and nitpick comments (2)
tests/unit/test_temporal_client.py (2)
5-5: Verify and update the import path commentThe comment
# Replace with actual import pathshould be removed or updated with the correct path once verified.
55-61: Consider adding validation for port number formatWhile the test covers missing port, it would be valuable to add a test case for invalid port format (e.g., non-numeric values).
Example test to add:
def test_load_credentials_invalid_port(self): """Test handling of invalid port format""" with patch.dict("os.environ", {"TEMPORAL_PORT": "invalid"}): with self.assertRaises(ValueError) as context: self.client._load_credentials() self.assertIn("invalid port format", str(context.exception).lower())
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tests/unit/test_temporal_client.py(1 hunks)
🧰 Additional context used
🪛 Ruff (0.7.0)
tests/unit/test_temporal_client.py
3-3: os imported but unused
Remove unused import: os
(F401)
27-27: Local variable client is assigned to but never used
Remove assignment to unused variable client
(F841)
🔇 Additional comments (1)
tests/unit/test_temporal_client.py (1)
8-23: Well-structured test setup!
The test class follows best practices by:
- Using IsolatedAsyncioTestCase for async testing
- Properly managing test environment variables
- Implementing clean tearDown
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Actionable comments posted: 4
🧹 Outside diff range and nitpick comments (9)
docker-compose.dev.yml (3)
3-14: Add health check and resource constraints to worker serviceConsider adding the following configurations to improve reliability and resource management:
- Health check to ensure the service is running properly
- Restart policy for automatic recovery
- Resource limits to prevent resource exhaustion
worker: build: context: . target: prod + restart: unless-stopped + healthcheck: + test: ["CMD", "curl", "-f", "http://localhost:YOUR_PORT/health"] + interval: 30s + timeout: 10s + retries: 3 + deploy: + resources: + limits: + cpus: '1' + memory: 1G env_file: - .env depends_on:
37-38: Consider expanding CORS origins for developmentThe current CORS setting only allows localhost:8080. For development, you might want to allow additional origins or use a wildcard.
environment: - TEMPORAL_ADDRESS=temporal:7233 - - TEMPORAL_CORS_ORIGINS=http://localhost:8080 + - TEMPORAL_CORS_ORIGINS=http://localhost:8080,http://127.0.0.1:8080
119-119: Add newline at end of fileAdd a newline character at the end of the file to comply with POSIX standards.
temporal-network: driver: bridge - name: temporal-network + name: temporal-network +🧰 Tools
🪛 yamllint (1.29.0-1)
[error] 119-119: no new line character at the end of file
(new-line-at-end-of-file)
tests/unit/test_temporal_client.py (4)
30-38: Consider adding edge case tests for credential values.While the basic success case is covered, consider adding tests for:
- Whitespace in credential values
- Different port number formats
- URL formatting in host value
55-61: Consider validating the error message format.While the test checks for the presence of "TEMPORAL_PORT" in the error message, it would be beneficial to verify the complete error message format to ensure it provides clear guidance to users.
69-85: Consider adding connection state verification.While the test verifies the connection parameters, it would be beneficial to:
- Verify the client is properly initialized
- Assert that no additional calls were made to the client
- Verify the connection state
Add these assertions:
# Verify no other interactions with the client mock_client.assert_not_called() # Verify connect was called exactly once self.assertEqual(mock_connect.call_count, 1)
86-96: Consider testing specific exception types.Instead of catching a generic Exception, consider:
- Testing specific exceptions that might occur during connection
- Verifying the error handling behavior for different types of connection failures
Example:
from temporalio.exceptions import ConnectionError # Test specific temporal exceptions mock_connect.side_effect = ConnectionError("Connection timeout") with self.assertRaises(ConnectionError) as context: await self.client.get_client() self.assertIn("Connection timeout", str(context.exception))test_run_workflow.py (2)
28-38: Remove commented out code.The commented-out workflow configuration code should be removed as it's not being used and could cause confusion.
19-74: Enhance error handling and configuration.Consider the following improvements:
- Use proper logging instead of print statements
- Make the schedule interval configurable via environment variables
- Add more specific exception handling
async def start_workflow(): """Start a new workflow and demonstrate various interactions.""" load_dotenv() task_queue = os.getenv("TEMPORAL_TASK_QUEUE") + schedule_interval = int(os.getenv("SCHEDULE_INTERVAL_HOURS", "1")) + logger = logging.getLogger(__name__) client = await TemporalClient().get_client() try: handle = await client.create_schedule( id="website-ingestion-schedule", schedule=Schedule( action=ScheduleActionStartWorkflow( "WebsiteIngestionSchedulerWorkflow", id="schedules-website-ingestion", task_queue=task_queue, ), spec=ScheduleSpec( - intervals=[ScheduleIntervalSpec(every=timedelta(hours=1))] + intervals=[ScheduleIntervalSpec(every=timedelta(hours=schedule_interval))] ), state=ScheduleState(note="Here's a note on my Schedule."), ), ) - print(f"Started workflow {handle.id}") + logger.info("Started workflow %s", handle.id) - except Exception as e: - print(f"Error executing workflow: {e}") + except ConnectionError as e: + logger.error("Connection error while creating schedule: %s", e) + raise + except Exception as e: + logger.error("Unexpected error while creating schedule: %s", e) + raise
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📒 Files selected for processing (16)
.dockerignore(1 hunks).env.example(1 hunks)Dockerfile(1 hunks)docker-compose.dev.yml(1 hunks)hivemind_etl/activities.py(1 hunks)hivemind_etl/website/crawlee_client.py(1 hunks)hivemind_etl/website/module.py(1 hunks)hivemind_etl/website/website_etl.py(1 hunks)registry.py(1 hunks)requirements.txt(1 hunks)test_run_workflow.py(1 hunks)tests/integration/test_module_website.py(1 hunks)tests/unit/test_temporal_client.py(1 hunks)utils/temporal_client.py(1 hunks)worker.py(1 hunks)workflows.py(1 hunks)
✅ Files skipped from review due to trivial changes (1)
- .dockerignore
🚧 Files skipped from review as they are similar to previous changes (11)
- .env.example
- Dockerfile
- hivemind_etl/activities.py
- hivemind_etl/website/crawlee_client.py
- hivemind_etl/website/module.py
- hivemind_etl/website/website_etl.py
- registry.py
- requirements.txt
- tests/integration/test_module_website.py
- utils/temporal_client.py
- worker.py
🧰 Additional context used
📓 Learnings (2)
docker-compose.dev.yml (2)
Learnt from: amindadgar
PR: TogetherCrew/temporal-worker-python#1
File: docker-compose.dev.yml:93-105
Timestamp: 2024-11-25T12:03:44.410Z
Learning: In `docker-compose.dev.yml`, enhanced security and persistence settings for Redis are not required as the file is intended for development usage.
Learnt from: amindadgar
PR: TogetherCrew/temporal-worker-python#1
File: docker-compose.dev.yml:24-28
Timestamp: 2024-11-25T12:02:28.220Z
Learning: In `docker-compose.dev.yml`, hardcoding database credentials is acceptable for development use.
workflows.py (1)
Learnt from: amindadgar
PR: TogetherCrew/temporal-worker-python#1
File: workflows.py:49-53
Timestamp: 2024-11-25T12:00:00.683Z
Learning: In this codebase, ETL activities do not require retries, so setting `maximum_attempts=1` in `RetryPolicy` is acceptable.
🪛 yamllint (1.29.0-1)
docker-compose.dev.yml
[error] 119-119: no new line character at the end of file
(new-line-at-end-of-file)
🪛 Ruff (0.7.0)
tests/unit/test_temporal_client.py
27-27: Local variable client is assigned to but never used
Remove assignment to unused variable client
(F841)
🔇 Additional comments (15)
workflows.py (7)
1-18: LGTM! Well-structured imports and logging setup
The imports are properly organized and the logging configuration is appropriate for workflow monitoring.
38-42: LGTM! Retry policy aligns with ETL requirements
The RetryPolicy configuration with maximum_attempts=1 is appropriate as per the established practice for ETL activities in this codebase.
Also applies to: 49-53, 60-64
95-96: Fix child workflow awaiting mechanism
The current implementation using asyncio.gather(*[handle for handle in child_workflows]) doesn't properly await workflow completion.
99-108: Move test workflow to a dedicated test file
The SayHello workflow should be in a test file instead of the main workflow file.
106-108: Use execute_activity instead of start_activity
The workflow should use workflow.execute_activity to properly execute and await the activity result.
89-92: 🛠️ Refactor suggestion
Enable retries for child workflows
Child workflows should have retry capability as they are part of the orchestration layer, not ETL operations.
retry_policy=RetryPolicy(
- maximum_attempts=1,
+ maximum_attempts=3,
+ initial_interval=timedelta(minutes=1),
+ maximum_interval=timedelta(minutes=10),
),Likely invalid or redundant comment.
77-80: 🛠️ Refactor suggestion
Enable retries for get_communities activity
Unlike ETL activities, the get_communities activity is part of the orchestration layer and should have retry capability to handle transient failures.
retry_policy=RetryPolicy(
- maximum_attempts=1,
+ maximum_attempts=3,
+ initial_interval=timedelta(seconds=5),
+ maximum_interval=timedelta(minutes=2),
),Likely invalid or redundant comment.
tests/unit/test_temporal_client.py (4)
1-19: LGTM! Well-structured test setup.
The test class is properly configured with:
- Appropriate imports for async testing
- Good isolation using IsolatedAsyncioTestCase
- Clean environment setup with proper mocking
24-28: Skipping comment as there's an existing valid review.
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27-27: Local variable client is assigned to but never used
Remove assignment to unused variable client
(F841)
46-54: Skipping comment as there's an existing valid review.
98-99: LGTM! Standard unittest main block.
test_run_workflow.py (4)
1-17: LGTM! Well-organized imports and dependencies.
The imports are properly organized and all necessary components are included.
76-98: Previous review comment is still applicable.
The function still needs improvements as mentioned in the previous review:
- Remove duplicate workflow description fetch
- Improve error handling
- Use proper logging
100-119: Previous review comment is still applicable.
The function still needs improvements as mentioned in the previous review regarding reusability and logging.
121-135: Previous review comment is still applicable.
The main function still needs improvements as mentioned in the previous review regarding robustness and error handling.
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Actionable comments posted: 0
🧹 Outside diff range and nitpick comments (1)
tests/unit/test_temporal_client.py (1)
86-95: Consider using a more specific exception type.The test currently catches a generic Exception. Consider using a more specific exception type that would be raised by the client connection failure (e.g., ConnectionError, TimeoutError) to make the test more precise.
Example improvement:
- mock_connect.side_effect = Exception("Connection failed") + mock_connect.side_effect = ConnectionError("Connection failed") - with self.assertRaises(Exception) as context: + with self.assertRaises(ConnectionError) as context: await self.client.get_client()
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hivemind_etl/website/website_etl.py(1 hunks)tests/unit/test_temporal_client.py(1 hunks)utils/temporal_client.py(1 hunks)
🚧 Files skipped from review as they are similar to previous changes (2)
- hivemind_etl/website/website_etl.py
- utils/temporal_client.py
🧰 Additional context used
🪛 Ruff (0.7.0)
tests/unit/test_temporal_client.py
27-27: Local variable client is assigned to but never used
Remove assignment to unused variable client
(F841)
🔇 Additional comments (5)
tests/unit/test_temporal_client.py (5)
1-19: LGTM! Well-structured test setup.
The test setup follows best practices with:
- Appropriate use of IsolatedAsyncioTestCase for async testing
- Clean environment patching
- Clear default test values
24-28: Skipping comment as it was already covered in past review.
🧰 Tools
🪛 Ruff (0.7.0)
27-27: Local variable client is assigned to but never used
Remove assignment to unused variable client
(F841)
30-45: LGTM! Comprehensive credential validation.
The tests thoroughly validate both successful and error scenarios for credential loading.
46-54: Skipping comment as it was already covered in past review.
55-68: LGTM! Good error case coverage.
The tests properly validate error scenarios for missing port and empty environment.
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Actionable comments posted: 0
🧹 Outside diff range and nitpick comments (4)
docker-compose.dev.yml (4)
77-81: Optimize MongoDB health check configurationThe current health check could be improved:
- The command should use authentication since credentials are set
- The start period (40s) seems unnecessarily long for development
healthcheck: - test: echo 'db.stats().ok' | mongosh localhost:27017/test --quiet + test: echo 'db.stats().ok' | mongosh mongodb://root:pass@localhost:27017/admin --quiet interval: 30s timeout: 10s retries: 3 - start_period: 40s + start_period: 20s
112-117: Improve Redis health check commandThe current health check using
incr pingmodifies data. Consider usingpingcommand instead, which is non-destructive.healthcheck: - test: [ "CMD", "redis-cli", "--raw", "incr", "ping" ] + test: [ "CMD", "redis-cli", "ping" ] interval: 10s timeout: 10s retries: 2 start_period: 10s
130-130: Add newline at end of fileAdd a newline character at the end of the file to comply with POSIX standards.
🧰 Tools
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[error] 130-130: no new line character at the end of file
(new-line-at-end-of-file)
1-2: Consider adding resource limitsFor better resource management and to prevent any single container from consuming excessive resources, consider adding memory and CPU limits for each service.
Example:
services: worker: build: context: . target: prod + deploy: + resources: + limits: + cpus: '0.50' + memory: 512M + reservations: + cpus: '0.25' + memory: 256M
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📒 Files selected for processing (1)
docker-compose.dev.yml(1 hunks)
🧰 Additional context used
📓 Learnings (1)
docker-compose.dev.yml (2)
Learnt from: amindadgar
PR: TogetherCrew/temporal-worker-python#1
File: docker-compose.dev.yml:93-105
Timestamp: 2024-11-25T12:03:44.410Z
Learning: In `docker-compose.dev.yml`, enhanced security and persistence settings for Redis are not required as the file is intended for development usage.
Learnt from: amindadgar
PR: TogetherCrew/temporal-worker-python#1
File: docker-compose.dev.yml:24-28
Timestamp: 2024-11-25T12:02:28.220Z
Learning: In `docker-compose.dev.yml`, hardcoding database credentials is acceptable for development use.
🪛 yamllint (1.29.0-1)
docker-compose.dev.yml
[error] 130-130: no new line character at the end of file
(new-line-at-end-of-file)
🔇 Additional comments (1)
docker-compose.dev.yml (1)
4-7: Review build target configuration
Using target: prod in a development environment seems inconsistent. Consider using a development-specific target that includes development tools and debugging capabilities.
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Actionable comments posted: 1
🧹 Outside diff range and nitpick comments (2)
docker-compose.test.yml (2)
8-30: Group related environment variables togetherThe environment variables would be more maintainable if grouped by service:
environment: # Qdrant Configuration - QDRANT_HOST=qdrant - QDRANT_PORT=6333 - QDRANT_API_KEY= # Redis Configuration - REDIS_HOST=redis - REDIS_PORT=6379 - REDIS_PASSWORD= # MongoDB Configuration - MONGODB_HOST=mongo - MONGODB_PORT=27017 - MONGODB_USER=root - MONGODB_PASS=pass # Temporal Configuration - TEMPORAL_HOST=temporal - TEMPORAL_PORT=7233 - TEMPORAL_API_KEY= - TEMPORAL_TASK_QUEUE=QUEUE_HEAVY # PostgreSQL Configuration - POSTGRES_DB_PORT=5432 - POSTGRES_USER=temporal - POSTGRES_PWD=temporal - POSTGRES_SEEDS=temporal-postgresql # Application Configuration - CHUNK_SIZE=512 - EMBEDDING_DIM=1024 - OPENAI_API_KEY=sk-example - COHERE_API_KEY=cohere_example_key
131-131: Add newline at end of fileAdd a newline character at the end of the file to comply with POSIX standards.
name: temporal-network +🧰 Tools
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[error] 131-131: no new line character at the end of file
(new-line-at-end-of-file)
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docker-compose.test.yml(1 hunks)
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docker-compose.test.yml
[error] 131-131: no new line character at the end of file
(new-line-at-end-of-file)
🔇 Additional comments (3)
docker-compose.test.yml (3)
117-117: Consider updating Redis version
Current version is 7.0.11, but newer versions in the 7.x series are available with security patches and improvements.
66-67: Consider expanding CORS origins for development
The current CORS configuration only allows localhost:8080. Consider adding additional development domains if needed.
10-11: Verify empty API key configurations
The following API keys are empty:
- QDRANT_API_KEY
- TEMPORAL_API_KEY
Please confirm if these services require authentication in the test environment.
Also applies to: 20-21
✅ Verification successful
Let me try a different approach to verify the authentication requirements by checking the configuration files and documentation within the repository.
Let me check the specific configurations in both docker-compose files to understand the authentication patterns better.
Empty API keys are acceptable in test environment
Based on the analysis of both docker-compose files, the empty API keys in the test environment are intentional and acceptable because:
- The test environment uses different authentication patterns compared to dev
- Other sensitive credentials in the test environment are properly set (e.g., MongoDB, PostgreSQL)
- The test configuration includes example API keys for services that strictly require them (e.g., OPENAI_API_KEY, COHERE_API_KEY)
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Check if these services typically require authentication
echo "Checking Qdrant documentation for authentication requirements..."
curl -s "https://api.github.com/repos/qdrant/qdrant/contents/docs" | jq -r '.[] | select(.name | contains("authentication")) | .name'
echo "Checking Temporal documentation for authentication requirements..."
curl -s "https://api.github.com/repos/temporalio/documentation/contents/docs" | jq -r '.[] | select(.name | contains("authentication")) | .name'
Length of output: 560
Script:
#!/bin/bash
# Check for authentication-related configurations and documentation
echo "Checking docker-compose files for authentication patterns..."
rg -l "API_KEY|AUTH|PASSWORD|SECRET" docker-compose*.yml
echo "Checking README and documentation for authentication mentions..."
rg -i "authentication|api key" -A 2 -B 2 "*.md"
echo "Checking environment files for default configurations..."
fd -e ".env" -e ".env.example" -e ".env.sample" --exec cat {}
Length of output: 680
Script:
#!/bin/bash
# Compare authentication configurations between dev and test environments
echo "Development environment configurations:"
rg "API_KEY|AUTH|PASSWORD|SECRET" -A 1 -B 1 docker-compose.dev.yml
echo -e "\nTest environment configurations:"
rg "API_KEY|AUTH|PASSWORD|SECRET" -A 1 -B 1 docker-compose.test.yml
# Check if these services are running in development mode or with specific test configurations
echo -e "\nChecking for development/test mode indicators:"
rg -i "mode|environment|development|test" docker-compose*.yml
Length of output: 2343
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Actionable comments posted: 1
🧹 Outside diff range and nitpick comments (3)
docker-compose.test.yml (3)
31-32: Consider using named volume for coverage dataThe relative path
./coveragecould cause issues depending on where the compose file is run from. Consider using a named volume instead.volumes: - - ./coverage:/project/coverage + - coverage_data:/project/coverage # Add at the bottom of the file volumes: coverage_data:
90-95: Optimize MongoDB health check configurationThe current health check configuration has a relatively long interval and start period. Consider reducing these values for faster container orchestration during testing.
healthcheck: test: echo 'db.stats().ok' | mongosh localhost:27017/test --quiet - interval: 30s + interval: 10s timeout: 10s retries: 3 - start_period: 40s + start_period: 20s
136-136: Add newline at end of fileAdd a newline character at the end of the file to comply with POSIX standards.
networks: temporal-network: driver: bridge: - name: temporal-network + name: temporal-network +🧰 Tools
🪛 yamllint (1.29.0-1)
[error] 136-136: no new line character at the end of file
(new-line-at-end-of-file)
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docker-compose.test.yml(1 hunks)
🧰 Additional context used
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docker-compose.test.yml
[error] 136-136: no new line character at the end of file
(new-line-at-end-of-file)
🔇 Additional comments (1)
docker-compose.test.yml (1)
44-44: Verify Temporal version compatibility
The current version (1.25.2.0) might be outdated. Let's verify the latest stable version.
✅ Verification successful
Temporal version is up to date
The current version (1.25.2.0) is actually the latest stable version available in the Docker Hub registry for temporalio/auto-setup. No upgrade is necessary at this time.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Check latest Temporal versions
curl -s https://registry.hub.docker.com/v2/repositories/temporalio/auto-setup/tags?page_size=100 | jq -r '.results[].name' | grep -v latest | sort -V | tail -n 5
Length of output: 206
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Actionable comments posted: 1
🧹 Outside diff range and nitpick comments (8)
docker-compose.dev.yml (4)
3-17: Add health check and restart policy for worker serviceConsider adding health check and restart policy to ensure service reliability:
worker: build: context: . target: prod + restart: unless-stopped env_file: - .env + healthcheck: + test: ["CMD", "curl", "-f", "http://localhost:YOUR_PORT/health"] + interval: 30s + timeout: 10s + retries: 3 depends_on:
46-54: Add health check and restart policy for temporal-uiThe temporal-ui service should have health check and restart policy:
temporal-ui: image: temporalio/ui:2.31.2 + restart: unless-stopped + healthcheck: + test: ["CMD", "curl", "-f", "http://localhost:8080"] + interval: 30s + timeout: 10s + retries: 3 environment:
56-67: Add restart policy for temporal-postgresqlAdd restart policy to ensure database availability:
temporal-postgresql: image: postgres:12.21 + restart: unless-stopped environment:
123-126: Add newline at end of fileAdd a newline character at the end of the file to comply with POSIX standards.
networks: temporal-network: driver: bridge - name: temporal-network + name: temporal-network +🧰 Tools
🪛 yamllint (1.29.0-1)
[error] 126-126: no new line character at the end of file
(new-line-at-end-of-file)
docker-compose.test.yml (4)
31-32: Consider using named volume for coverage dataUsing a relative path for volume mounting could cause issues depending on where the compose file is run from.
volumes: - - ./coverage:/project/coverage + - coverage_data:/project/coverageAdd this to the bottom of the file:
volumes: coverage_data:
62-66: Optimize temporal service health check configurationThe current configuration might be too aggressive with 1s intervals and 30 retries.
healthcheck: test: ["CMD", "tctl", "--address", "temporal:7233", "workflow", "list"] - interval: 1s + interval: 10s timeout: 5s - retries: 30 + retries: 5
106-107: Remove explicit container naming to support parallel test runsFixed container names can cause conflicts when running multiple test environments simultaneously.
restart: always - container_name: qdrant
141-141: Add newline at end of fileAdd a newline character at the end of the file to follow YAML conventions.
driver: bridge name: temporal-network +🧰 Tools
🪛 yamllint (1.29.0-1)
[error] 141-141: no new line character at the end of file
(new-line-at-end-of-file)
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Review profile: CHILL
📒 Files selected for processing (2)
docker-compose.dev.yml(1 hunks)docker-compose.test.yml(1 hunks)
🧰 Additional context used
📓 Learnings (2)
docker-compose.dev.yml (3)
Learnt from: amindadgar
PR: TogetherCrew/temporal-worker-python#1
File: docker-compose.dev.yml:91-92
Timestamp: 2024-11-25T14:41:39.144Z
Learning: In this project, documentation for local development environment setup, like creating the `qdrant_data` directory in `docker-compose.dev.yml`, is not necessary unless specified.
Learnt from: amindadgar
PR: TogetherCrew/temporal-worker-python#1
File: docker-compose.dev.yml:93-105
Timestamp: 2024-11-25T12:03:44.410Z
Learning: In `docker-compose.dev.yml`, enhanced security and persistence settings for Redis are not required as the file is intended for development usage.
Learnt from: amindadgar
PR: TogetherCrew/temporal-worker-python#1
File: docker-compose.dev.yml:24-28
Timestamp: 2024-11-25T12:02:28.220Z
Learning: In `docker-compose.dev.yml`, hardcoding database credentials is acceptable for development use.
docker-compose.test.yml (1)
Learnt from: amindadgar
PR: TogetherCrew/temporal-worker-python#1
File: docker-compose.test.yml:86-86
Timestamp: 2024-11-25T14:41:03.600Z
Learning: The `docker-compose.test.yml` file is used solely for testing purposes and is not used in the production environment.
🪛 yamllint (1.29.0-1)
docker-compose.dev.yml
[error] 126-126: no new line character at the end of file
(new-line-at-end-of-file)
docker-compose.test.yml
[error] 141-141: no new line character at the end of file
(new-line-at-end-of-file)
| qdrant: | ||
| image: qdrant/qdrant:v1.9.2 | ||
| restart: always | ||
| container_name: qdrant | ||
| ports: | ||
| - 6333:6333 | ||
| volumes: | ||
| - ./qdrant_data:/qdrant_data | ||
| networks: | ||
| - temporal-network | ||
| qdrant-healthcheck: | ||
| restart: always | ||
| image: curlimages/curl:8.11.0 | ||
| entrypoint: ["/bin/sh", "-c", "--", "while true; do sleep 30; done;"] | ||
| depends_on: | ||
| - qdrant | ||
| healthcheck: | ||
| test: ["CMD", "curl", "-f", "http://qdrant:6333/readyz"] | ||
| interval: 10s | ||
| timeout: 2s | ||
| retries: 5 | ||
| networks: | ||
| - temporal-network |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Optimize Qdrant service configuration
The current qdrant-healthcheck implementation can be simplified by moving the health check directly to the qdrant service:
qdrant:
image: qdrant/qdrant:v1.9.2
restart: always
container_name: qdrant
+ healthcheck:
+ test: ["CMD", "curl", "-f", "http://localhost:6333/readyz"]
+ interval: 10s
+ timeout: 2s
+ retries: 5
ports:
- 6333:6333
volumes:
- ./qdrant_data:/qdrant_data
networks:
- temporal-network
- qdrant-healthcheck:
- restart: always
- image: curlimages/curl:8.11.0
- entrypoint: ["/bin/sh", "-c", "--", "while true; do sleep 30; done;"]
- depends_on:
- - qdrant
- healthcheck:
- test: ["CMD", "curl", "-f", "http://qdrant:6333/readyz"]
- interval: 10s
- timeout: 2s
- retries: 5
- networks:
- - temporal-networkDon't forget to update the temporal service's dependencies:
temporal:
depends_on:
- qdrant-healthcheck:
+ qdrant:
condition: service_healthyCommittable suggestion skipped: line range outside the PR's diff.
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🧹 Outside diff range and nitpick comments (3)
README.md (3)
1-3: Enhance the introduction with more contextConsider adding:
- A brief explanation of what Temporal is
- The purpose of these specific workflows
- Key features or capabilities
- Prerequisites for using this project
7-14: Expand environment configuration documentationThe environment setup instructions could be more helpful by:
- Listing the key environment variables that need to be configured
- Indicating which variables are required vs optional
- Explaining the purpose of each service referenced in docker-compose.dev.yml
16-21: Add prerequisites and troubleshooting guidanceConsider enhancing this section with:
- Docker installation requirements and minimum versions
- Expected output or success indicators
- Common issues and their solutions
- Instructions for stopping/restarting services
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README.md (1)
11-11: Verify referenced configuration files
Let's ensure the referenced configuration files exist and are properly placed in the repository.
Also applies to: 20-20
✅ Verification successful
Configuration files are properly placed
Both .env.example and docker-compose.dev.yml files exist in the repository root as referenced in the README.md instructions.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Check if the referenced configuration files exist
echo "Checking for referenced configuration files..."
for file in ".env.example" "docker-compose.dev.yml"; do
if [ -f "$file" ]; then
echo "✓ $file exists"
else
echo "✗ $file not found"
fi
done
Length of output: 398
| docker compose -f docker-compose.dev.yml up -d | ||
| ``` | ||
|
|
||
| 3. Open [localhost:8080](http://localhost:8080/) and check temporal dashboard. |
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🛠️ Refactor suggestion
Expand the verification instructions
Enhance this section by adding:
- What users should expect to see in the Temporal dashboard
- How to verify that the workflows are properly registered
- Basic troubleshooting steps if the dashboard isn't accessible
Summary by CodeRabbit
Release Notes
New Features
.env.examplefile for easier setup.CrawleeClientfor enhanced web crawling capabilities.WebsiteETLclass for streamlined extraction, transformation, and loading of data.TemporalClientclass for managing connections to the Temporal service.Bug Fixes
Documentation
requirements.txtwith new dependencies for enhanced functionality.README.mdwith detailed setup instructions for local project configuration.Tests
Chores
.dockerignorefile to optimize Docker build context.