[Fix] Docker Compose, Alembic Migrations, Absolute Imports, and Dev Onboarding for Kodee-demo #1
Conversation
…port hygiene for kodee-demo
📝 WalkthroughWalkthroughRefactors imports to absolute app.* namespaces across the codebase, updates container/migration tooling and docs, adjusts .env defaults, adds module-level loggers and OpenAI client constants/exceptions, introduces Redis pushes for aggregated tool-call metadata, and pins Postgres image and migrations mount. Core business logic largely preserved. Changes
Sequence Diagram(s)sequenceDiagram
participant Client
participant Router as ChatbotRouter
participant Handler as Domain/OOS Handler
participant OpenAI as OpenAI Client
participant Redis as Redis Service
participant DB as Database
Client->>Router: route(message)
Note over Router: decide handoff / generate label
alt Seeking human assistance
Router-->>Client: HandlerResponse (SUPPORT_HANDOFF + label)
else Normal processing
Router->>Handler: handle(message)
Handler->>OpenAI: get_response / get_response_with_tools(...)
OpenAI-->>Handler: ChatCompletion
rect rgb(230,245,230)
Note over Handler,Redis: aggregate & push tool-call info and results (new)
Handler->>Redis: push tool_calls info
Handler->>Redis: push function_results
end
Handler->>DB: log events
Handler-->>Router: HandlerResponse
Router->>Router: map chatbot_label (chatbot_label_mapping)
Router-->>Client: Final HandlerResponse (with chatbot_label)
end
Estimated code review effort🎯 3 (Moderate) | ⏱️ ~25 minutes
Pre-merge checks and finishing touches❌ Failed checks (1 warning)
✅ Passed checks (2 passed)
✨ Finishing touches
🧪 Generate unit tests (beta)
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Actionable comments posted: 2
🧹 Nitpick comments (7)
app/handlers/domains/functions/domain_change_dns_records.py (1)
21-23: Make the Optional type explicit for PEP 484 compliance.The parameter
domain_name: str = Noneuses an implicitOptional, which PEP 484 prohibits. Make the type explicit for better clarity and standards compliance.Apply this diff to fix the type annotation:
async def domain_change_dns_records( - data: DefaultGPTFunctionParams, domain_name: str = None + data: DefaultGPTFunctionParams, domain_name: str | None = None ) -> GPTFunctionOutput:Alternatively, if maintaining Python 3.9 compatibility:
+from typing import Optional + async def domain_change_dns_records( - data: DefaultGPTFunctionParams, domain_name: str = None + data: DefaultGPTFunctionParams, domain_name: Optional[str] = None ) -> GPTFunctionOutput:app/handlers/out_of_scope/functions/oos_get_knowledge.py (1)
21-23: Make the Optional type explicit for PEP 484 compliance.The parameter
question: str = Noneuses an implicitOptional, which PEP 484 prohibits. Make the type explicit for better clarity and standards compliance.Apply this diff to fix the type annotation:
async def oos_get_knowledge( - _: DefaultGPTFunctionParams, question: str = None + _: DefaultGPTFunctionParams, question: str | None = None ) -> GPTFunctionOutput:Alternatively, if maintaining Python 3.9 compatibility:
+from typing import Optional + async def oos_get_knowledge( - _: DefaultGPTFunctionParams, question: str = None + _: DefaultGPTFunctionParams, question: Optional[str] = None ) -> GPTFunctionOutput:app/helpers/gpt_helper.py (1)
68-76: PreferTypeErrorfor type validation errors.When raising exceptions for invalid types,
TypeErroris more semantically appropriate thanValueError. This makes the error handling clearer for callers.Apply this diff:
else: - raise ValueError( + raise TypeError( "GPT Temperature must be a GPTTemperature enum member or a float." )app/handlers/domains/functions/domain_transfer_in.py (1)
22-23: Makedomain_nameexplicitly optional.Setting the default to
Nonewhile annotating the parameter asstrviolates PEP 484 and triggers Ruff RUF013. Update the hint tostr | None(orOptional[str]) so static type checkers and tooling stay happy.- _data: DefaultGPTFunctionParams, domain_name: str = None + _data: DefaultGPTFunctionParams, domain_name: str | None = NoneREADME.md (1)
71-79: Add language identifier to fenced code block.The environment variables code block should specify a language (e.g.,
bash,shell, ordotenv) for proper syntax highlighting and improved readability.Apply this diff:
-``` +```bash DB_HOST=db # Docker Compose Postgres service name DB_USERNAME=postgresapp/router/support_handoff_decider.py (1)
67-69: Consider usingNoneas the default value.Using
{}(empty dict) as a default sentinel value is unconventional and may confuse readers. While the subsequent boolean validation at Line 77 will catch this case, usingNoneas the default would make the intent clearer.Apply this diff:
- decoded_handoff_boolean = decoded_handoff_boolean.get( - "is_seeking_human_assistance", {} - ) + decoded_handoff_boolean = decoded_handoff_boolean.get( + "is_seeking_human_assistance" + )The
isinstancecheck at Line 77 will still properly validate that the value is a boolean.Makefile (1)
1-17: LGTM: Simplified Docker-native workflow.The refactored Makefile successfully streamlines the development workflow by removing local virtualenv targets and focusing on Docker Compose operations.
Consider adding
.PHONYdeclarations to prevent conflicts with files of the same name:+.PHONY: up migrate setup + # Makefile for Docker-native development workflow # Use these commands for all regular development tasks
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📒 Files selected for processing (41)
.env.example(1 hunks)Dockerfile(1 hunks)Makefile(1 hunks)README.md(1 hunks)app/api/endpoints/chat.py(1 hunks)app/api/endpoints/conversation_history.py(1 hunks)app/api/external/gpt_clients/cost_calculation_helpers.py(1 hunks)app/api/external/gpt_clients/openai/openai_client.py(6 hunks)app/database/database_calls.py(7 hunks)app/database/helpers.py(1 hunks)app/handlers/base_handler.py(6 hunks)app/handlers/domains/domain_handler.py(6 hunks)app/handlers/domains/functions/domain_change_dns_records.py(2 hunks)app/handlers/domains/functions/domain_sell_domain.py(1 hunks)app/handlers/domains/functions/domain_transfer_in.py(2 hunks)app/handlers/out_of_scope/functions/oos_get_knowledge.py(2 hunks)app/handlers/out_of_scope/out_of_scope_handler.py(6 hunks)app/helpers/conversation.py(1 hunks)app/helpers/gpt_helper.py(4 hunks)app/helpers/tenacity_retry_strategies.py(2 hunks)app/main.py(1 hunks)app/middleware/global_exception_handler.py(1 hunks)app/middleware/request_response_logging.py(2 hunks)app/models/handler_response_model.py(1 hunks)app/models/redis_messages_model.py(2 hunks)app/redis_services/redis_client.py(2 hunks)app/redis_services/redis_message_formatter.py(1 hunks)app/redis_services/redis_methods.py(1 hunks)app/router/chatbot_router.py(2 hunks)app/router/gpt_chatbot_label.py(4 hunks)app/router/gpt_router_prompts.py(2 hunks)app/router/support_handoff_decider.py(3 hunks)app/services/chat_services/chat_initialization.py(1 hunks)app/services/chat_services/chat_respond.py(3 hunks)app/services/chat_services/chat_restart.py(1 hunks)app/services/history/history_events.py(1 hunks)app/services/history/history_messages.py(1 hunks)app/utils/get_handler_functions.py(3 hunks)docker-compose.yml(1 hunks)migrations/env.py(2 hunks)requirements.txt(1 hunks)
🧰 Additional context used
🧬 Code graph analysis (33)
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Logger(6-46)
🪛 checkmake (0.2.2)
Makefile
[warning] 1-1: Missing required phony target "all"
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[warning] 1-1: Missing required phony target "clean"
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[warning] 1-1: Missing required phony target "test"
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[warning] 17-17: Target "setup" should be declared PHONY.
(phonydeclared)
🪛 markdownlint-cli2 (0.18.1)
README.md
71-71: Fenced code blocks should have a language specified
(MD040, fenced-code-language)
🪛 Ruff (0.14.2)
app/services/history/history_messages.py
22-22: Do not catch blind exception: Exception
(BLE001)
app/handlers/out_of_scope/functions/oos_get_knowledge.py
22-22: PEP 484 prohibits implicit Optional
Convert to T | None
(RUF013)
app/redis_services/redis_client.py
59-59: Consider moving this statement to an else block
(TRY300)
app/handlers/domains/functions/domain_change_dns_records.py
22-22: PEP 484 prohibits implicit Optional
Convert to T | None
(RUF013)
app/models/redis_messages_model.py
18-20: Avoid specifying long messages outside the exception class
(TRY003)
app/router/gpt_chatbot_label.py
64-64: Avoid specifying long messages outside the exception class
(TRY003)
app/services/history/history_events.py
22-22: Do not catch blind exception: Exception
(BLE001)
app/handlers/domains/functions/domain_transfer_in.py
22-22: PEP 484 prohibits implicit Optional
Convert to T | None
(RUF013)
app/helpers/gpt_helper.py
33-35: Consider iterable unpacking instead of concatenation
Replace with iterable unpacking
(RUF005)
74-76: Prefer TypeError exception for invalid type
(TRY004)
74-76: Avoid specifying long messages outside the exception class
(TRY003)
🔇 Additional comments (57)
app/middleware/global_exception_handler.py (1)
1-4: LGTM! Import path refactoring is consistent.The update to absolute imports using the
app.*namespace is consistent with the project-wide refactoring. No functional changes to the exception handler logic.app/api/external/gpt_clients/cost_calculation_helpers.py (1)
4-6: LGTM! Formatting improvement.The calculation logic is unchanged; the multiline formatting improves readability.
app/handlers/domains/functions/domain_sell_domain.py (1)
1-3: LGTM! Import path refactoring is consistent.The import updates align with the project-wide move to absolute
app.*imports. No functional changes to the domain sell function.app/services/history/history_events.py (4)
1-12: LGTM! Import refactoring is consistent.The import path updates align with the project-wide absolute import strategy. No functional changes.
19-27: LGTM! Formatting and error handling are appropriate.The multiline formatting improves readability. The broad exception catch is acceptable here since:
- All database exceptions are logged with full context
- A proper error response is returned to the client
- This ensures no unexpected DB errors slip through
28-34: LGTM! Error response construction is correct.The error response properly sets the status code and error message for database failures.
36-43: LGTM! Not-found response is correct.The 404 response for missing conversation IDs is appropriate.
app/helpers/tenacity_retry_strategies.py (2)
2-6: LGTM! Import updates are consistent.The import path refactoring aligns with the project-wide move to absolute
app.*imports. Import reordering is cosmetic.
56-58: LGTM! Formatting change only.The multiline formatting of the HTTPException raise is purely cosmetic; no functional change.
app/middleware/request_response_logging.py (3)
3-8: LGTM! Import refactoring is consistent.The import path update to
app.utils.logger.loggeraligns with the project-wide absolute import strategy.
16-18: LGTM! Formatting improvement.The multiline formatting of the location_info assignment improves readability without changing behavior.
44-46: LGTM! Formatting improvement.The multiline formatting of the getattr call improves readability without changing behavior.
requirements.txt (1)
9-11: All pinned versions are free from known vulnerabilities, but they are outdated—consider updating to the latest versions.The security check passed: httpx 0.27.2, alembic 1.13.1, and psycopg2-binary 2.9.9 have no known vulnerabilities.
However, the versions are not current:
- httpx: Latest is 0.28.1 (pinned: 0.27.2)
- alembic: Latest is 1.17.1 (pinned: 1.13.1)
- psycopg2-binary: Latest is 2.9.11 (pinned: 2.9.9)
Consider updating to the latest versions to benefit from bug fixes and improvements, or provide rationale for maintaining these specific pinned versions.
app/redis_services/redis_client.py (3)
3-9: LGTM! Import namespace refactor looks correct.The imports have been successfully updated to use the
app.*namespace, aligning with the PR's objective to standardize absolute imports across the codebase.
13-13: LGTM! Logger instance addition is consistent.The module-level logger instance follows the same pattern used in other modules across the codebase.
52-65: LGTM! Formatting improvements enhance readability.The multiline formatting for the function signature and logging call improves code readability without altering behavior.
app/main.py (2)
6-10: LGTM! Import updates are consistent with the namespace refactor.All imports have been successfully migrated to the
app.*namespace, and the RedisClient import has been added to support the lifecycle management in the shutdown phase.
19-20: LGTM! RedisClient shutdown logic is correct.The singleton pattern of
RedisClientensures that callingRedisClient()during shutdown retrieves the existing instance for proper cleanup. The shutdown sequence (Redis before PostgreSQL) is appropriate.app/database/database_calls.py (3)
2-11: LGTM! Import namespace updates are correct.All imports have been properly migrated to the
app.*namespace, maintaining consistency with the codebase refactor.
15-16: LGTM! Timeout constants improve configurability.Adding explicit timeout constants makes the database configuration more maintainable and self-documenting. The 5-second values are reasonable for connection and command timeouts.
33-173: LGTM! Formatting improvements enhance readability.The multiline formatting applied to method signatures and function calls improves code readability without altering any behavior.
app/helpers/conversation.py (1)
3-7: LGTM! Import updates align with the namespace refactor.All imports have been successfully updated to use the
app.*namespace without affecting the module's functionality.app/handlers/domains/functions/domain_change_dns_records.py (2)
1-4: LGTM! Import updates are consistent.All imports have been properly updated to use the
app.*namespace.
25-32: LGTM! Enhanced user guidance in function output.The multiline formatting and the addition of a detailed user-facing message improve both code readability and user experience.
app/database/helpers.py (2)
1-7: LGTM! Import namespace refactor is correct.All imports have been successfully updated to use the
app.*namespace, maintaining consistency across the codebase.
10-68: LGTM! Formatting enhances readability.The multiline formatting for the function signature improves code readability while preserving all functionality.
app/handlers/out_of_scope/functions/oos_get_knowledge.py (1)
1-3: LGTM! Import updates are consistent.All imports have been properly migrated to the
app.*namespace.app/helpers/gpt_helper.py (3)
1-12: LGTM! Import organization and namespace updates are correct.The import reorganization and migration to the
app.*namespace improve code structure and align with the PR objectives.
25-35: LGTM! Function refactoring maintains clarity.The multiline formatting improves readability. The list concatenation is clear and explicit, though iterable unpacking would also work.
50-57: LGTM! Formatting improvement.The multiline function signature enhances readability without affecting behavior.
app/api/endpoints/conversation_history.py (1)
3-4: LGTM! Import paths updated to absolute namespace.The import refactor to
app.services.history.*aligns with the PR's goal of standardizing to absolute imports.app/models/handler_response_model.py (1)
1-6: LGTM! Import organization improved.The imports are now properly organized with the absolute
app.models.chat.*namespace, and theEnumimport is correctly placed at the top level.app/services/history/history_messages.py (1)
6-12: LGTM! Import paths standardized.The imports now use the absolute
app.*namespace, consistent with the PR's refactoring goals.app/redis_services/redis_message_formatter.py (1)
1-3: LGTM! Imports updated and alphabetically ordered.The import path now uses the absolute
app.models.*namespace, and the typing imports are alphabetically sorted.docker-compose.yml (1)
24-29: LGTM! Docker configuration improved for portability and migrations.The changes enhance the Docker setup:
- Pinning to
postgres:16ensures reproducible environments- Named volume
postgres_datais more portable than host-specific paths- Migrations mount
./migrations:/app/migrationssupports the Alembic workflowThese align well with the PR's goal of improving developer onboarding.
.env.example (1)
1-7: LGTM! Environment example updated for Docker Compose workflow.The changes improve the developer experience:
- Service names (
db,redis) match Docker Compose service names- Inline comments clarify the purpose of each variable
- Added
OPENAI_API_KEYfor OpenAI integration- Simplified format (unquoted values) is cleaner
This aligns with the PR's goal of zero-pain onboarding.
app/models/redis_messages_model.py (1)
1-6: LGTM! Import paths standardized.The imports now use the absolute
app.models.chat.*namespace, maintaining consistency across the codebase.app/redis_services/redis_methods.py (1)
8-17: LGTM! Import paths migrated to absolute namespace.All imports now consistently use the
app.*namespace (helpers, models, redis_services, utils), completing the import standardization for Redis-related modules.app/router/support_handoff_decider.py (2)
3-25: LGTM: Import refactor to absolute paths.The migration to
app.*absolute imports aligns with the PR's goal of improving project structure and maintainability.
71-76: LGTM: Robust boolean conversion logic.The additional handling for integer and string boolean representations improves resilience against varying GPT response formats.
app/router/gpt_chatbot_label.py (2)
1-20: LGTM: Import refactor to absolute paths.The migration to
app.*absolute imports is consistent with the PR's modernization goals.
30-80: LGTM: Formatting improvements.The multi-line formatting for function calls and logging improves code readability while preserving all logic.
migrations/env.py (1)
1-28: LGTM: Environment-driven database configuration.The migration from hardcoded
"localhost"toos.getenv("DB_HOST", "db")with a Docker-friendly default improves flexibility and aligns with the PR's Docker Compose workflow improvements.app/services/chat_services/chat_initialization.py (1)
1-30: LGTM: Import refactor and formatting improvements.The migration to
app.*absolute imports and multi-line formatting enhances code consistency and readability without altering functionality.app/handlers/domains/domain_handler.py (1)
1-221: LGTM: Import refactor and formatting improvements.The migration to
app.*absolute imports and consistent multi-line formatting throughout the handler improves code maintainability and readability without altering functionality.app/handlers/out_of_scope/out_of_scope_handler.py (1)
1-194: LGTM: Import refactor and formatting improvements.The migration to
app.*absolute imports and consistent multi-line formatting throughout the handler improves code maintainability and readability. The changes are consistent with the refactoring pattern applied across other handlers in this PR.app/router/chatbot_router.py (2)
1-12: Import path refactoring looks good.The migration to absolute
app.*imports is consistent and correct, improving module resolution clarity.
30-51: LGTM: Clean multiline formatting.The reformatted method signature and nested calls improve readability while preserving the original routing logic.
app/handlers/base_handler.py (3)
1-36: LGTM: Module structure and imports properly refactored.The migration to
app.*imports and addition of module-levelloggerandopenai_clientinitialization follows best practices for shared resource management.
82-97: Clean multiline formatting for function calls.The reformatted calls to
fetch_latest_conversation_messagesandpush_message_to_redisimprove readability without changing functionality.
99-153: Method signatures and formatting improvements look good.The multiline formatting of method signatures (
get_gpt_with_tools_response,insert_tool_call_into_events_table,is_gpt_generated_tools_valid) and the nested dictionary structure for tool call payloads enhance code clarity.app/services/chat_services/chat_respond.py (3)
1-27: Import refactoring and module initialization look good.The migration to
app.*imports and initialization ofloggerandchatbot_routerare consistent with the codebase-wide refactoring.
29-61: Service logic and response structure properly updated.The multiline formatting of
chat_service, theHTTPException, and the nestedConversationMessageswithinConversationMessagesOutputimprove code clarity while maintaining correct behavior.
64-85: Helper functions cleanly reformatted.The multiline signatures and
RedisMessagesconstruction in bothprocess_user_messageandprocess_chatbot_responseare clear and maintain the original functionality.app/api/external/gpt_clients/openai/openai_client.py (3)
1-28: Well-structured module initialization.The import refactoring to
app.*namespaces, addition of module-level constants (TIMEOUT_SECONDS,DEFAULT_MAX_TOKENS), and initialization ofopenai_clientandloggerfollow best practices for shared resource management.
32-89: get_response method properly formatted.The multiline signature and
calculate_openai_costcall enhance readability. The error handling and logging logic remain intact.
92-153: get_response_with_tools method looks good.The multiline formatting of the signature, cost calculation, and retry statistics access improves code clarity while preserving all functionality.
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🧹 Nitpick comments (1)
app/router/chatbot_router.py (1)
42-49: LGTM! Routing logic is clean and functional.The label generation and handler dispatch flow is straightforward. Optionally, consider adding a check after line 46 to handle unexpected
Nonefromhandler_classes.get():handler_class = self.handler_classes.get(message.chatbot_label) if not handler_class: logger.log( f"No handler found for chatbot_label: {message.chatbot_label}", conversation_id=handler_config.conversation_id, level=logging.ERROR, ) raise ValueError(f"Unsupported chatbot label: {message.chatbot_label}")This would catch configuration issues or unexpected label values, though it's unlikely if
generate_chatbot_labelalways returns valid enum values.
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app/router/chatbot_router.py (7)
app/models/chat/chat_message_input_model.py (2)
ChatbotLabel(15-17)ChatMessage(20-36)app/models/chat/chat_message_output_model.py (1)
OutputChatbotLabel(12-15)app/models/handler_config_model.py (1)
HandlerConfigModel(4-6)app/models/handler_response_model.py (2)
HandlerResponse(14-22)HandlerResponseStatus(9-11)app/router/gpt_chatbot_label.py (1)
generate_chatbot_label(31-80)app/router/support_handoff_decider.py (2)
get_handoff_response_message(91-109)is_seeking_human_assistance(32-87)app/utils/logger/logger.py (1)
Logger(6-46)
🔇 Additional comments (3)
app/router/chatbot_router.py (3)
1-12: LGTM! Absolute imports improve clarity.The refactor to absolute
app.*imports is clean and aligns with the PR's goal of standardizing the import style across the codebase.
16-26: LGTM! Explicit mappings improve maintainability.Moving the handler class and label mappings into instance attributes centralizes the configuration and makes the routing logic more transparent and extensible.
28-40: LGTM! Handoff logic is clear and correct.The multiline formatting improves readability, and the early-return pattern for support handoff is well-structured with appropriate status and label assignment.
|
Ready for re-review! |
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⚠️ Outside diff range comments (1)
app/api/external/gpt_clients/openai/openai_client.py (1)
77-77: Use safer dictionary access for retry statistics.Line 77 uses direct dictionary access
["attempt_number"]which could raiseKeyErrorif the key is missing. Lines 134-136 inget_response_with_toolsuse the safer.get("attempt_number")method, which returnsNoneif the key doesn't exist.Apply this diff for consistency and safety:
- requests=self.get_response.retry.statistics["attempt_number"], + requests=self.get_response.retry.statistics.get("attempt_number"),
🧹 Nitpick comments (4)
app/api/external/gpt_clients/openai/openai_client.py (1)
84-91: Align exception logging with get_response_with_tools.The exception logging here is much simpler than in
get_response_with_tools(lines 143-155), which includes additional context:service,method_name,exception_type, andconversation_messages. Consider whether this method should log similar details for consistency and better debugging.Additionally, the same logging issues from lines 43-50 apply here:
- Line 86:
level="ERROR"should belevel=logging.ERROR- Lines 87-90:
str()conversions turnNoneinto"None"stringsApply this diff to align with
get_response_with_toolsstyle:logger.log( - f"Exception in get_response: {e}", - level="ERROR", - model=str(model), - action_name=str(action_name), - team_name=str(team_name), - chatbot_name=str(chatbot_name), + "GPT Exception occurred", + level=logging.ERROR, + service="OpenAI", + payload=str(e), + model_name=model, + action_name=action_name, + method_name="get_response", + team_name=team_name, + chatbot_name=chatbot_name, + exception_type=type(e).__name__, + conversation_messages=filter_out_system_messages(messages), )app/helpers/gpt_helper.py (3)
2-2: Inconsistent type hint style across the file.The file mixes modern lowercase type hints (
list[dict]on line 27) with traditional capitalizedtypingmodule imports (List, Dicton line 2, used on line 55). This creates inconsistency in the codebase.Choose one style consistently:
- Option 1 (Python 3.9+): Remove
List, Dictfrom line 2 imports and update line 55 to use lowercasedict[str, Any]- Option 2 (backward compatible): Update line 27 to use
List[dict](thoughDictwould be more precise thandict)Apply this diff for Option 1 (recommended if targeting Python 3.9+):
-from typing import Any, Dict, List, Union +from typing import Any, Unionasync def build_tool_call_info( tool_call: ChatCompletionMessageToolCall, -) -> Dict[str, Any]: +) -> dict[str, Any]:Also applies to: 27-27, 55-55
36-38: Consider iterable unpacking for cleaner list construction.The list concatenation can be replaced with iterable unpacking, which is more idiomatic and avoids creating an intermediate single-element list.
Apply this diff:
- return [ - {"role": GPTRole.SYSTEM, "content": system_description} - ] + historical_messages + return [ + {"role": GPTRole.SYSTEM, "content": system_description}, + *historical_messages, + ]
77-79: UseTypeErrorfor type validation errors.When validating parameter types,
TypeErroris more semantically appropriate thanValueError. This follows Python conventions whereTypeErrorindicates an operation received an inappropriate type.Apply this diff:
- raise ValueError( + raise TypeError( "GPT Temperature must be a GPTTemperature enum member or a float." )
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app/api/external/gpt_clients/openai/openai_client.py(6 hunks)app/helpers/gpt_helper.py(4 hunks)app/redis_services/redis_client.py(3 hunks)app/router/chatbot_router.py(2 hunks)app/services/chat_services/chat_respond.py(3 hunks)
🚧 Files skipped from review as they are similar to previous changes (2)
- app/router/chatbot_router.py
- app/services/chat_services/chat_respond.py
🧰 Additional context used
🧬 Code graph analysis (3)
app/redis_services/redis_client.py (2)
app/redis_services/redis_enums.py (1)
RedisExpiration(13-17)app/utils/logger/logger.py (2)
Logger(6-46)log(31-46)
app/api/external/gpt_clients/openai/openai_client.py (6)
app/api/external/gpt_clients/cost_calculation_helpers.py (1)
calculate_openai_cost(1-9)app/api/external/gpt_clients/gpt_enums.py (5)
GPTActionNames(29-34)GPTChatbotNames(41-43)GPTResponseFormat(24-26)GPTTeamNames(37-38)GPTTemperature(4-15)app/api/external/gpt_clients/openai/openai_enums.py (1)
OpenAIModel(4-8)app/helpers/conversation.py (1)
filter_out_system_messages(22-24)app/helpers/gpt_helper.py (1)
return_temperature_float_value(71-79)app/utils/logger/logger.py (2)
Logger(6-46)log(31-46)
app/helpers/gpt_helper.py (7)
app/api/external/gpt_clients/gpt_enums.py (2)
GPTRole(18-21)GPTTemperature(4-15)app/models/chat/chat_message_input_model.py (1)
InputRole(7-8)app/models/chat/chat_message_output_model.py (1)
OutputRole(6-9)app/models/redis_messages_model.py (1)
RedisMessages(9-29)app/redis_services/redis_message_formatter.py (1)
filter_history_messages(6-32)app/redis_services/redis_methods.py (1)
fetch_entire_conversation_history(116-129)app/utils/logger/logger.py (2)
Logger(6-46)log(31-46)
🪛 Ruff (0.14.2)
app/redis_services/redis_client.py
63-63: Consider moving this statement to an else block
(TRY300)
app/helpers/gpt_helper.py
36-38: Consider iterable unpacking instead of concatenation
Replace with iterable unpacking
(RUF005)
77-79: Prefer TypeError exception for invalid type
(TRY004)
77-79: Avoid specifying long messages outside the exception class
(TRY003)
🔇 Additional comments (7)
app/api/external/gpt_clients/openai/openai_client.py (4)
1-21: LGTM! Absolute imports align with PR objectives.The refactoring to absolute
app.*imports is consistent with the PR's goal to ensure consistency across workstations, CI, and production. The import organization is clear and logical.
23-27: Module-level initialization is appropriate.The singleton pattern for
openai_clientandloggeris suitable for this use case. The client will be initialized once when the module is imported, which is efficient for a shared resource.
95-124: LGTM! Multi-line formatting improves readability.The method signature and cost calculation reformatting enhance code readability while preserving functionality.
125-156: LGTM! This demonstrates good logging practices.The exception handling here is well-structured with:
- Safe dictionary access using
.get()(line 134-136)- Correct logging constant
logging.WARNING(line 145)- Comprehensive error context including service, method name, exception type, and filtered messages
This is the pattern that should be followed throughout the module.
app/redis_services/redis_client.py (3)
3-9: LGTM! Clean import refactoring.The refactoring to absolute
app.*imports aligns well with the PR objectives and ensures consistency across the codebase.
56-58: LGTM! Improved readability.The multi-line formatting makes the method signature more readable.
Note: Static analysis suggests moving the
return Truestatement on line 63 to anelseblock, but the current structure is clear and the change is optional.
65-67: LGTM! Improved logging consistency.Using the
payloadparameter for the exception aligns with the pattern used in other error logging methods throughout this file, improving consistency.
…ge across codebase
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⚠️ Outside diff range comments (1)
app/api/external/gpt_clients/openai/openai_client.py (1)
77-77: Inconsistent retry statistics access patterns.Line 77 uses direct dictionary key access
["attempt_number"], which raisesKeyErrorif the key is missing, while lines 134-136 use the safer.get("attempt_number")method that returnsNonefor missing keys.For consistency and defensive coding, consider using
.get()in both places.Apply this diff to make Line 77 consistent:
- requests=self.get_response.retry.statistics["attempt_number"], + requests=self.get_response.retry.statistics.get("attempt_number"),Also applies to: 134-136
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app/api/external/gpt_clients/openai/openai_client.py(6 hunks)app/helpers/gpt_helper.py(4 hunks)app/redis_services/redis_client.py(3 hunks)
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app/helpers/gpt_helper.py (7)
app/api/external/gpt_clients/gpt_enums.py (2)
GPTRole(18-21)GPTTemperature(4-15)app/models/chat/chat_message_input_model.py (1)
InputRole(7-8)app/models/chat/chat_message_output_model.py (1)
OutputRole(6-9)app/models/redis_messages_model.py (1)
RedisMessages(9-29)app/redis_services/redis_message_formatter.py (1)
filter_history_messages(6-32)app/redis_services/redis_methods.py (1)
fetch_entire_conversation_history(116-129)app/utils/logger/logger.py (2)
Logger(6-46)log(31-46)
app/redis_services/redis_client.py (2)
app/redis_services/redis_enums.py (1)
RedisExpiration(13-17)app/utils/logger/logger.py (2)
Logger(6-46)log(31-46)
app/api/external/gpt_clients/openai/openai_client.py (5)
app/api/external/gpt_clients/cost_calculation_helpers.py (1)
calculate_openai_cost(1-9)app/api/external/gpt_clients/gpt_enums.py (5)
GPTActionNames(29-34)GPTChatbotNames(41-43)GPTResponseFormat(24-26)GPTTeamNames(37-38)GPTTemperature(4-15)app/api/external/gpt_clients/openai/openai_enums.py (1)
OpenAIModel(4-8)app/helpers/gpt_helper.py (1)
return_temperature_float_value(73-81)app/utils/logger/logger.py (2)
Logger(6-46)log(31-46)
🪛 Ruff (0.14.2)
app/helpers/gpt_helper.py
38-40: Consider iterable unpacking instead of concatenation
Replace with iterable unpacking
(RUF005)
79-81: Prefer TypeError exception for invalid type
(TRY004)
79-81: Avoid specifying long messages outside the exception class
(TRY003)
app/redis_services/redis_client.py
64-64: Consider moving this statement to an else block
(TRY300)
🔇 Additional comments (3)
app/redis_services/redis_client.py (1)
36-39: Logging fix confirmed—correctly usinglogging.INFOconstant.The previous issue with using the string
"INFO"has been resolved. The logger now correctly receives the integer constantlogging.INFO, which properly matches the Logger API expectations.app/helpers/gpt_helper.py (1)
29-32: Logging fix confirmed—correctly usinglogging.INFOconstant.The previous issue with the string
"INFO"has been resolved. The code now correctly passeslevel=logging.INFOto match the Logger's expected integer constant parameter.app/api/external/gpt_clients/openai/openai_client.py (1)
43-50: Both logging issues resolved correctly.The previous review identified two problems that have now been fixed:
- Line 45: Now correctly uses
level=logging.INFO(integer constant) instead of the string"INFO".- Lines 46-49: Optional parameters are now passed directly without
str()conversion, allowing the Logger to properly filterNonevalues instead of logging the string"None".
…t KeyError and TypeError for return_temperature_float_value
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app/api/external/gpt_clients/openai/openai_client.py (1)
23-27: Validate OPENAI_API_KEY before AsyncOpenAI initialization to prevent runtime errors.AsyncOpenAI accepts
api_key: str | None(defaults to None), so constructing it with None can cause NoneType errors later when the client attempts requests. Currently at line 25 ofapp/api/external/gpt_clients/openai/openai_client.py,openai_clientis initialized with a potentiallyNoneOPENAI_API_KEY(sourced viaos.getenv()with no validation).Validate at startup and raise a clear error if the API key is missing before creating AsyncOpenAI.
# Add validation before AsyncOpenAI initialization (line 25) if not OPENAI_API_KEY: raise RuntimeError("OPENAI_API_KEY environment variable is required") openai_client = AsyncOpenAI(api_key=OPENAI_API_KEY, timeout=TIMEOUT_SECONDS)
🧹 Nitpick comments (3)
app/api/external/gpt_clients/openai/openai_client.py (3)
54-61: Consider removing redundant timeout parameter.The
timeoutparameter is specified twice: once duringAsyncOpenAIclient initialization (line 25) and again in thecreatecall (line 58). The OpenAI SDK typically uses the client-level timeout, making the per-request timeout specification redundant.Apply this diff to remove the redundant timeout:
response = await openai_client.chat.completions.create( messages=messages, model=model, response_format={"type": response_format}, - timeout=TIMEOUT_SECONDS, temperature=return_temperature_float_value(temperature), max_tokens=max_tokens, )
83-92: Consider aligning exception logging format with get_response_with_tools.The exception logging here is simpler than in
get_response_with_tools(lines 143-156), which includes additional context likeservice,exception_type, andconversation_messages. For consistency and better debugging, consider using a similar format across both methods.Apply this diff to enhance the exception logging:
except Exception as e: logger.log( - f"Exception in get_response: {e}", + "GPT Exception occurred", level=logging.ERROR, + service="OpenAI", + payload=str(e), model=model, action_name=action_name, + method_name="get_response", team_name=team_name, chatbot_name=chatbot_name, + exception_type=type(e).__name__, + conversation_messages=filter_out_system_messages(messages), ) raise
110-119: Consider removing redundant timeout parameter.Similar to
get_response, thetimeoutparameter (line 118) is redundant since it's already set during client initialization (line 25).Apply this diff to remove the redundant timeout:
response = await openai_client.chat.completions.create( messages=messages, model=model, tools=tools, tool_choice="auto", response_format={"type": response_format}, temperature=return_temperature_float_value(temperature), max_tokens=max_tokens, - timeout=TIMEOUT_SECONDS, )
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app/api/external/gpt_clients/openai/openai_client.py (6)
app/api/external/gpt_clients/cost_calculation_helpers.py (1)
calculate_openai_cost(1-9)app/api/external/gpt_clients/gpt_enums.py (5)
GPTActionNames(29-34)GPTChatbotNames(41-43)GPTResponseFormat(24-26)GPTTeamNames(37-38)GPTTemperature(4-15)app/api/external/gpt_clients/openai/openai_enums.py (1)
OpenAIModel(4-8)app/helpers/conversation.py (1)
filter_out_system_messages(22-24)app/helpers/gpt_helper.py (1)
return_temperature_float_value(73-81)app/utils/logger/logger.py (2)
Logger(6-46)log(31-46)
🪛 Ruff (0.14.2)
app/api/external/gpt_clients/openai/openai_client.py
82-82: Consider moving this statement to an else block
(TRY300)
🔇 Additional comments (5)
app/api/external/gpt_clients/openai/openai_client.py (5)
43-50: LGTM! Previous logging issues resolved.The entry logging now correctly uses
logging.INFOconstant and passes parameters withoutstr()wrapping, allowing the Logger to properly filterNonevalues. This addresses the concerns from the previous review.
77-82: Defensive retry statistics access looks good.Using
.get("attempt_number")is good defensive programming to avoid KeyError if the retry statistics structure changes. The return statement placement is fine, though Ruff suggests moving it to anelseblock for clarity (which is a minor style preference).
95-106: LGTM! Method signature properly updated.The addition of the
toolsparameter with proper typing (List[Dict[str, Any]]) correctly supports the tools-enabled chat completion functionality.
122-141: LGTM! Cost calculation and retry statistics handling implemented correctly.The multi-line cost calculation formatting improves readability, and the defensive
.get()access for retry statistics prevents potential KeyError exceptions.
142-156: Verify exception log level consistency.This method logs exceptions at
WARNINGlevel (line 145), whileget_responseusesERRORlevel (line 86). Since both exceptions are re-raised and likely cause request failures, verify whether this difference is intentional or if both should use the same level for consistency.If this was intentional (e.g., tool call exceptions are more expected), consider adding a comment explaining the rationale. Otherwise, align the log levels.
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.env.example(1 hunks)Makefile(1 hunks)README.md(1 hunks)app/api/external/gpt_clients/openai/openai_client.py(6 hunks)app/database/database_calls.py(7 hunks)app/handlers/domains/domain_handler.py(6 hunks)app/handlers/domains/functions/domain_change_dns_records.py(2 hunks)app/handlers/domains/functions/domain_transfer_in.py(2 hunks)app/handlers/out_of_scope/functions/oos_get_knowledge.py(2 hunks)app/helpers/gpt_helper.py(4 hunks)app/router/support_handoff_decider.py(3 hunks)app/services/history/history_events.py(1 hunks)app/services/history/history_messages.py(1 hunks)app/utils/get_handler_functions.py(4 hunks)
🚧 Files skipped from review as they are similar to previous changes (5)
- app/handlers/out_of_scope/functions/oos_get_knowledge.py
- app/database/database_calls.py
- README.md
- app/utils/get_handler_functions.py
- app/handlers/domains/functions/domain_change_dns_records.py
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app/handlers/domains/functions/domain_transfer_in.py (3)
app/models/gpt_function_output_model.py (2)
GPTFunctionOutput(11-23)OutputStatus(6-8)app/models/gpt_function_param_model.py (1)
DefaultGPTFunctionParams(4-6)app/utils/function_decorator.py (1)
meta(1-8)
app/helpers/gpt_helper.py (7)
app/api/external/gpt_clients/gpt_enums.py (2)
GPTRole(18-21)GPTTemperature(4-15)app/models/chat/chat_message_input_model.py (1)
InputRole(7-8)app/models/chat/chat_message_output_model.py (1)
OutputRole(6-9)app/models/redis_messages_model.py (1)
RedisMessages(9-29)app/redis_services/redis_message_formatter.py (1)
filter_history_messages(6-32)app/redis_services/redis_methods.py (1)
fetch_entire_conversation_history(116-129)app/utils/logger/logger.py (2)
Logger(6-46)log(31-46)
app/services/history/history_messages.py (3)
app/models/history/history_response_model.py (3)
HistoryAPIResponse(13-28)HistoryResponseStatusCode(8-10)convert_to_error_response(24-28)app/utils/logger/logger.py (2)
Logger(6-46)log(31-46)app/database/database_calls.py (1)
get_history_by_conversation_id(166-173)
app/router/support_handoff_decider.py (7)
app/api/external/gpt_clients/gpt_enums.py (5)
GPTActionNames(29-34)GPTResponseFormat(24-26)GPTRole(18-21)GPTTeamNames(37-38)GPTTemperature(4-15)app/api/external/gpt_clients/openai/openai_client.py (1)
OpenAIChat(41-170)app/api/external/gpt_clients/openai/openai_enums.py (1)
OpenAIModel(4-8)app/helpers/custom_exceptions.py (1)
InvalidGPTResponseException(1-2)app/helpers/gpt_helper.py (2)
decode_json_string(18-23)get_conversation_history_with_system_prompt(26-41)app/router/gpt_router_prompts.py (2)
get_handoff_message_prompt(62-75)get_is_handoff_needed_prompt(49-59)app/utils/logger/logger.py (1)
Logger(6-46)
app/api/external/gpt_clients/openai/openai_client.py (6)
app/api/external/gpt_clients/cost_calculation_helpers.py (1)
calculate_openai_cost(1-9)app/api/external/gpt_clients/gpt_enums.py (5)
GPTActionNames(29-34)GPTChatbotNames(41-43)GPTResponseFormat(24-26)GPTTeamNames(37-38)GPTTemperature(4-15)app/api/external/gpt_clients/openai/openai_enums.py (1)
OpenAIModel(4-8)app/helpers/conversation.py (1)
filter_out_system_messages(22-24)app/helpers/gpt_helper.py (1)
return_temperature_float_value(74-82)app/utils/logger/logger.py (2)
Logger(6-46)log(31-46)
app/services/history/history_events.py (3)
app/models/history/history_response_model.py (3)
HistoryAPIResponse(13-28)HistoryResponseStatusCode(8-10)convert_to_error_response(24-28)app/utils/logger/logger.py (1)
log(31-46)app/database/database_calls.py (1)
get_events_by_conversation_id(157-164)
app/handlers/domains/domain_handler.py (14)
app/api/external/gpt_clients/gpt_enums.py (4)
GPTActionNames(29-34)GPTChatbotNames(41-43)GPTTeamNames(37-38)GPTTemperature(4-15)app/api/external/gpt_clients/openai/openai_enums.py (1)
OpenAIModel(4-8)app/database/database_models/events_table_model.py (2)
EventsTable(17-25)EventType(7-14)app/handlers/base_handler.py (4)
BaseChatHandler(39-153)log_message(71-78)insert_tool_call_into_events_table(115-137)is_gpt_generated_tools_valid(145-153)app/helpers/custom_exceptions.py (1)
InvalidGPTResponseException(1-2)app/helpers/gpt_helper.py (3)
build_tool_call_info(56-63)decode_json_string(18-23)get_mocked_failed_function_response(66-71)app/models/chat/chat_message_input_model.py (2)
ChatMessage(20-36)to_dict(35-36)app/models/chat/chat_message_output_model.py (2)
OutputRole(6-9)to_dict(22-23)app/models/gpt_function_output_model.py (3)
GPTFunctionOutput(11-23)OutputStatus(6-8)to_dict(22-23)app/models/handler_config_model.py (1)
HandlerConfigModel(4-6)app/models/handler_response_model.py (3)
HandlerResponse(14-22)HandlerResponseStatus(9-11)to_dict(19-22)app/models/redis_messages_model.py (2)
RedisMessages(9-29)to_dict(23-29)app/redis_services/redis_methods.py (2)
get_assistant_part_id(217-227)get_conversation_metadata(192-200)app/handlers/out_of_scope/out_of_scope_handler.py (2)
process_tool_calls(100-128)handle_tool_call(130-194)
🪛 checkmake (0.2.2)
Makefile
[warning] 1-1: Missing required phony target "all"
(minphony)
[warning] 1-1: Missing required phony target "clean"
(minphony)
[warning] 1-1: Missing required phony target "test"
(minphony)
🪛 Ruff (0.14.2)
app/helpers/gpt_helper.py
80-82: Avoid specifying long messages outside the exception class
(TRY003)
app/api/external/gpt_clients/openai/openai_client.py
92-92: Consider moving this statement to an else block
(TRY300)
93-93: Do not catch blind exception: Exception
(BLE001)
app/services/history/history_events.py
49-49: Do not catch blind exception: Exception
(BLE001)
app/handlers/domains/domain_handler.py
68-68: Local variable e is assigned to but never used
Remove assignment to unused variable e
(F841)
🔇 Additional comments (1)
Makefile (1)
1-18: Solid Docker-native workflow design.The Makefile structure is clean and well-organized:
- Modern
docker composeCLI (instead of deprecateddocker-compose)- Clear comments for each target
- Sensible target dependencies via
setup: up migrate- Detached mode (
-d) allows developers to retain terminal controlOnce the PHONY issue is fixed, this is ready.
…utError and asyncio.TimeoutError for async DB fetch timeouts fix: robustly check type before .get call on GPT response dict in support handoff fix: validate domain_name and prompt user if missing in domain_transfer_in fix: move raise inside except to preserve exception context in get_response
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Actionable comments posted: 6
🧹 Nitpick comments (2)
.env.example (1)
1-9: Minor: Quote inconsistency on OPENAI_API_KEY.Line 5 wraps the API key in double quotes (
"sk-xxx") while all other values are unquoted. Most.envparsers handle this correctly, but consider removing the quotes for consistency and to avoid subtle parsing edge cases:-OPENAI_API_KEY="sk-xxx" # Your OpenAI key if needed +OPENAI_API_KEY=sk-xxx # Your OpenAI key if neededMakefile (1)
14-15: Verify thatmigratetarget assumes precedingup.The
migratetarget runsdocker compose exec web alembic upgrade head, which implicitly requires thewebcontainer to be running. While thesetuptarget explicitly declares theupdependency, standalone invocation ofmake migratewill fail if the container isn't running.This is acceptable design (especially since
setupchains them correctly for first-time onboarding), but consider adding a brief comment or guard clause if developers might runmigrateindependently.
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app/services/history/history_events.py (4)
app/models/history/events_output_model.py (1)
DatabaseEventTable(7-22)app/models/history/history_response_model.py (3)
HistoryAPIResponse(13-28)HistoryResponseStatusCode(8-10)convert_to_error_response(24-28)app/utils/logger/logger.py (2)
Logger(6-46)log(31-46)app/database/database_calls.py (1)
get_events_by_conversation_id(157-164)
app/router/support_handoff_decider.py (7)
app/api/external/gpt_clients/gpt_enums.py (5)
GPTActionNames(29-34)GPTResponseFormat(24-26)GPTRole(18-21)GPTTeamNames(37-38)GPTTemperature(4-15)app/api/external/gpt_clients/openai/openai_client.py (1)
OpenAIChat(41-170)app/api/external/gpt_clients/openai/openai_enums.py (1)
OpenAIModel(4-8)app/helpers/custom_exceptions.py (1)
InvalidGPTResponseException(1-2)app/helpers/gpt_helper.py (2)
decode_json_string(18-23)get_conversation_history_with_system_prompt(26-41)app/router/gpt_router_prompts.py (2)
get_handoff_message_prompt(62-75)get_is_handoff_needed_prompt(49-59)app/utils/logger/logger.py (2)
Logger(6-46)log(31-46)
app/handlers/domains/functions/domain_transfer_in.py (3)
app/models/gpt_function_output_model.py (2)
GPTFunctionOutput(11-23)OutputStatus(6-8)app/models/gpt_function_param_model.py (1)
DefaultGPTFunctionParams(4-6)app/utils/function_decorator.py (1)
meta(1-8)
app/api/external/gpt_clients/openai/openai_client.py (6)
app/api/external/gpt_clients/cost_calculation_helpers.py (1)
calculate_openai_cost(1-9)app/api/external/gpt_clients/gpt_enums.py (5)
GPTActionNames(29-34)GPTChatbotNames(41-43)GPTResponseFormat(24-26)GPTTeamNames(37-38)GPTTemperature(4-15)app/api/external/gpt_clients/openai/openai_enums.py (1)
OpenAIModel(4-8)app/helpers/conversation.py (1)
filter_out_system_messages(22-24)app/helpers/gpt_helper.py (1)
return_temperature_float_value(74-82)app/utils/logger/logger.py (2)
Logger(6-46)log(31-46)
🪛 checkmake (0.2.2)
Makefile
[warning] 1-1: Missing required phony target "all"
(minphony)
[warning] 1-1: Missing required phony target "clean"
(minphony)
[warning] 1-1: Missing required phony target "test"
(minphony)
🪛 Ruff (0.14.2)
app/services/history/history_events.py
27-27: Undefined name logging
(F821)
51-51: Do not catch blind exception: Exception
(BLE001)
app/router/support_handoff_decider.py
73-75: Avoid specifying long messages outside the exception class
(TRY003)
app/handlers/domains/functions/domain_transfer_in.py
22-22: PEP 484 prohibits implicit Optional
Convert to T | None
(RUF013)
app/api/external/gpt_clients/openai/openai_client.py
92-92: Consider moving this statement to an else block
(TRY300)
🔇 Additional comments (17)
.env.example (1)
8-9: ✅ Previous critical issue resolved.The prior review flagged missing
APP_ENVandREDIS_PORTenvironment variables. Both are now correctly added (lines 8–9) with appropriate development values. The environment example is now complete and aligns with Docker Compose onboarding goals.Makefile (1)
1-7: LGTM!.PHONYdeclaration now correctly includesdown, and theuptarget uses moderndocker composesyntax with detached mode.The modernization from
docker-compose -f docker-compose.yml up --buildtodocker compose up --build -dis cleaner and the-dflag aligns well with the dev workflow.app/handlers/domains/functions/domain_transfer_in.py (2)
1-3: LGTM! Absolute imports aligned with PR objectives.The refactor to absolute
app.*namespaces improves consistency across environments and aligns with the PR's import standardization goal.
33-38: Message formatting improved for readability.The explicit newline formatting makes the multi-step instructions clearer and easier to maintain.
app/services/history/history_events.py (3)
1-14: Import refactoring looks good, butloggingmodule is missing.The absolute
app.*import style is consistent with the PR objectives. However, theloggingmodule is not imported but is referenced on line 27 (logging.ERROR).
65-72: LGTM: Not-found handling is correct.The empty result check appropriately returns a 404 status with a clear error message when the conversation ID is not found.
74-78: LGTM: Success path implementation is clean.The event parsing using
DatabaseEventTablelist comprehension is concise and correct. The model's field validator will handle payload JSON parsing automatically.app/router/support_handoff_decider.py (5)
3-25: LGTM!The migration to absolute
app.*imports is consistent with the PR's objectives for better maintainability and cross-environment consistency.
31-43: LGTM!The multiline formatting improves readability, and the explicit GPT parameters (team_name, model, response_format, temperature) provide better control and reproducibility.
45-65: LGTM!The response validation and JSON decoding logic is sound, with appropriate error handling and contextual logging.
80-96: LGTM!The type normalization logic (int/str to bool conversion) and final boolean validation are well-implemented with appropriate error handling.
99-118: LGTM!The handoff message generation logic is clean and includes proper error handling with contextual logging.
app/api/external/gpt_clients/openai/openai_client.py (5)
1-38: LGTM!The migration to absolute imports, introduction of public constants (
TIMEOUT_SECONDS,DEFAULT_MAX_TOKENS), and fail-fast API key validation with a customMissingAPIKeyErrorare all solid improvements for maintainability and developer experience.
41-61: LGTM!The method signature formatting is clean, and the entry logging correctly uses
logging.INFOconstant without unnecessarystr()conversions on optional parameters.
62-92: LGTM!The OpenAI API call is properly configured, cost calculation is clear, and the comprehensive metrics logging with safe
.get()access for retry statistics is well-implemented.
93-108: LGTM!The exception handling is now correct with the
raiseproperly indented inside theexceptblock, ensuring the original exception is propagated after logging. The comprehensive error logging includes all relevant context.
109-170: LGTM!The
get_response_with_toolsmethod mirrors the solid structure ofget_response, with clean formatting, comprehensive metrics logging, safe retry statistics access, and proper exception handling.
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Actionable comments posted: 1
🧹 Nitpick comments (2)
app/router/support_handoff_decider.py (2)
67-78: Previous issues resolved; consider logging consistency.Both critical issues from previous reviews have been properly addressed:
- ✅ Dict type validation added before
.get()call- ✅ Default value changed from
{}toFalseMinor suggestion: Lines 68-72 omit
conversation_idanduser_idfrom the log context, while other error paths (lines 46-51, 58-64, 87-93) include them. Adding these fields would improve debugging consistency.Consider this adjustment:
if not isinstance(decoded_handoff_boolean, dict): logger.log( f"Support handoff: Expected dict but got {type(decoded_handoff_boolean).__name__}", + conversation_id=conversation_id, + user_id=user_id, level=logging.ERROR, payload=decoded_handoff_boolean, )
73-75: Optional: Extract exception message per TRY003.Static analysis suggests defining longer exception messages as constants rather than inline strings. This is a style preference that can improve consistency if you have multiple similar exceptions.
Example approach:
# At module level or in custom_exceptions.py INVALID_JSON_DICT_MSG = "GPT response was not valid JSON dict for is_seeking_human_assistance." # Then use: raise InvalidGPTResponseException(INVALID_JSON_DICT_MSG)
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app/services/history/history_messages.py (4)
app/models/history/history_response_model.py (3)
HistoryAPIResponse(13-28)HistoryResponseStatusCode(8-10)convert_to_error_response(24-28)app/models/history/messages_output_model.py (1)
DatabaseHistoryTable(6-13)app/utils/logger/logger.py (2)
Logger(6-46)log(31-46)app/database/database_calls.py (1)
get_history_by_conversation_id(166-173)
app/handlers/domains/functions/domain_transfer_in.py (3)
app/models/gpt_function_output_model.py (2)
GPTFunctionOutput(11-23)OutputStatus(6-8)app/models/gpt_function_param_model.py (1)
DefaultGPTFunctionParams(4-6)app/utils/function_decorator.py (1)
meta(1-8)
app/router/support_handoff_decider.py (6)
app/api/external/gpt_clients/gpt_enums.py (5)
GPTActionNames(29-34)GPTResponseFormat(24-26)GPTRole(18-21)GPTTeamNames(37-38)GPTTemperature(4-15)app/api/external/gpt_clients/openai/openai_client.py (1)
OpenAIChat(41-170)app/helpers/custom_exceptions.py (1)
InvalidGPTResponseException(1-2)app/helpers/gpt_helper.py (2)
decode_json_string(18-23)get_conversation_history_with_system_prompt(26-41)app/router/gpt_router_prompts.py (2)
get_handoff_message_prompt(62-75)get_is_handoff_needed_prompt(49-59)app/utils/logger/logger.py (2)
Logger(6-46)log(31-46)
app/services/history/history_events.py (4)
app/models/history/events_output_model.py (1)
DatabaseEventTable(7-22)app/models/history/history_response_model.py (3)
HistoryAPIResponse(13-28)HistoryResponseStatusCode(8-10)convert_to_error_response(24-28)app/utils/logger/logger.py (2)
Logger(6-46)log(31-46)app/database/database_calls.py (1)
get_events_by_conversation_id(157-164)
🪛 Ruff (0.14.2)
app/router/support_handoff_decider.py
73-75: Avoid specifying long messages outside the exception class
(TRY003)
app/services/history/history_events.py
53-53: Do not catch blind exception: Exception
(BLE001)
🔇 Additional comments (5)
app/handlers/domains/functions/domain_transfer_in.py (3)
1-3: LGTM! Absolute imports improve clarity.The refactoring from relative to absolute
app.*imports aligns with the PR objectives and eliminates potential import ambiguity across different environments.
21-28: Excellent! All previous issues properly resolved.The function signature and input validation now correctly address all prior review concerns:
- ✅ Type annotation uses explicit
str | None = None(PEP 484 compliant)- ✅ Missing
domain_nameis handled with an early guard that prompts the user- ✅ Uses
OutputStatus.SUCCESS(which exists) instead of the non-existentFAILUREstatusThe validation message is clear and maintains a helpful conversational tone with the user.
14-16: LGTM! Formatting adjustments improve readability.The text formatting changes maintain semantic consistency while improving code layout. No functional impact.
Also applies to: 33-38
app/router/support_handoff_decider.py (2)
3-25: LGTM: Clean absolute import refactoring.The migration to fully qualified
app.*namespaces aligns with the PR's goal of consistent imports across environments.
36-43: LGTM: Explicit parameters improve clarity.Making the OpenAI call parameters explicit (team_name, model, response_format, temperature) enhances readability and makes the behavior more predictable.
| logger.log( | ||
| "Failed fetching messages from database", | ||
| conversation_id=conversation_id, | ||
| payload=exception, | ||
| ) |
There was a problem hiding this comment.
Log database failures at ERROR level.
Logger.log defaults to INFO; without overriding the level these DB failures will be logged as informational, which hides real outages and breaks alerting. Import logging and pass level=logging.ERROR so these cases are surfaced correctly.
+import logging
from asyncpg import ForeignKeyViolationError, PostgresError, UniqueViolationError
@@
- logger.log(
- "Failed fetching messages from database",
- conversation_id=conversation_id,
- payload=exception,
- )
+ logger.log(
+ "Failed fetching messages from database",
+ level=logging.ERROR,
+ conversation_id=conversation_id,
+ payload=exception,
+ )📝 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.
| logger.log( | |
| "Failed fetching messages from database", | |
| conversation_id=conversation_id, | |
| payload=exception, | |
| ) | |
| logger.log( | |
| "Failed fetching messages from database", | |
| level=logging.ERROR, | |
| conversation_id=conversation_id, | |
| payload=exception, | |
| ) |
🤖 Prompt for AI Agents
In app/services/history/history_messages.py around lines 28 to 32, the database
failure is being logged with logger.log which defaults to INFO; update the call
to log this failure at ERROR level by importing the logging module and passing
level=logging.ERROR (or use logger.error with the same message, conversation_id
and payload) so the failure is recorded at the correct severity for alerting.
1 participant
PR for Robust Docker, Dev Onboarding & Collaboration
Dear Hostinger Kodee team,
I’m submitting this PR after hands-on use as both a developer and a real Hostinger customer. My aim is to make your amazing open-source Kodee demo accessible and future-proof so, more contributors (and your own team) can confidently extend it!
Value Added in This PR
Anyone can go from clone → local Docker stack → running code (and DB migrations) in minutes, even if brand new to the project.
Alembic and DB initializations run smooth, reproducible, and universal no more “localhost vs Docker” or missing migration steps.
All commands, quickstart, and
.envdetails are reviewed for clarity and next-level developer experience.Internal import hygiene so the entire codebase works across workstations, CI, and production.
Locked and documented no more “works yesterday, fails today” surprises.
Key Improvements
.envexamplesetup,migrate, and commentsREADME.md: Friendly quickstart and troubleshooting for all devsapp.xxxto future-proof all workflowsWhy This Matters to You
🤝 Collaboration Offer
Let’s build the best developer and user-facing AI tooling together!
Feel free to connect on LinkedIn or through GitHub for rapid collaboration.
Thanks for considering this addition, excited to see Kodee evolve!
Adnan Sattar
View my fork
Summary by CodeRabbit
New Features
Improvements
Documentation