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* feat(cli): introduce JSON crew project support and TUI enhancements - Added support for creating and running JSON-defined crew projects, allowing users to scaffold projects with a new `create_json_crew.py` file. - Implemented a full-screen Textual TUI for crew execution in `crew_run_tui.py`, enhancing user interaction with a two-column layout. - Updated `run_crew.py` to prioritize JSON crew projects and added daemon mode for running without TUI. - Introduced interactive pickers in `tui_picker.py` for improved CLI prompts. - Enhanced validation for JSON crew files in `validate.py` to ensure proper structure and agent definitions. - Updated `.gitignore` to exclude demo and crewai directories. * feat: update LLM model references to gpt-5.4-mini - Changed default LLM model from gpt-4o-mini to gpt-5.4-mini across various files, including CLI options, JSON crew configurations, and agent definitions. - Enhanced benchmark and human feedback functionalities to utilize the new model. - Improved user interface elements in the TUI for better interaction and feedback during execution. - Added support for new skills directory in JSON crew project creation. * feat(benchmark): add crew-level benchmarking functionality - Introduced a new `benchmark` command in the CLI for crew-level benchmarking, allowing users to specify agents, models, and timeout settings. - Implemented `CrewBenchmarkCase` to handle crew-level benchmark cases with inputs and criteria. - Enhanced the benchmark runner to support progress tracking and detailed reporting of results for multiple models. - Added tests for loading crew benchmark cases and validating their structure. - Updated existing benchmark functions to accommodate the new crew-level execution model. * feat(cli): enhance JSON crew project functionality and TUI improvements - Added optional agent-level guardrails and advanced options in JSON crew configurations to improve output validation and flexibility. - Updated the TUI to better handle plan step statuses, including visual indicators for task completion and failure. - Introduced methods for parsing and managing step observation events, ensuring accurate updates to task statuses during execution. - Enhanced validation for JSON crew projects, ensuring proper structure and error handling for agent and task definitions. - Added comprehensive tests for new features and validation logic, ensuring robustness in JSON crew project handling. * refactor(cli): streamline JSON crew project handling and improve validation - Refactored JSON crew project loading and validation logic to enhance clarity and maintainability. - Introduced utility functions for finding JSON crew files, improving code reuse across modules. - Removed deprecated benchmark functionality and associated tests to simplify the codebase. - Updated CLI commands to utilize the new JSON project structure, ensuring compatibility with recent changes. - Enhanced test coverage for JSON crew project features, ensuring robust validation and error handling. * feat(cli): enhance activity log navigation and focus management - Added functionality to focus on the activity log when navigating through log entries. - Implemented refresh logic for the log panel to ensure updates are displayed correctly during navigation. - Improved keyboard navigation for log entries, allowing users to expand and scroll through logs seamlessly. - Added tests to verify the correct behavior of log navigation and focus management in the TUI. * feat(cli): enhance JSON crew project interaction and input handling - Introduced a new function to enable prompt line editing for better user experience during input prompts. - Updated the JSON crew project wizards to show interpolation hints for dynamic values, improving user guidance. - Enhanced the handling of missing input placeholders by prompting users for required values during crew setup. - Refactored the crew run logic to ensure proper loading and preparation of JSON-defined crews, including runtime input management. - Added tests to verify the correct behavior of new input handling features and JSON crew project interactions. * feat(cli): improve crew project input prompts and event handling - Enhanced the `_prompt_text` function to allow for configurable spacing before prompts, improving user experience during input collection. - Updated the wizards for agent and task creation to utilize the new prompt configuration, ensuring a more compact and streamlined interaction. - Introduced new plan step lifecycle events (`PlanStepStartedEvent`, `PlanStepCompletedEvent`) to better track the execution status of plan steps. - Refactored the step executor to emit these events during the execution of tasks, improving observability and debugging capabilities. - Added tests to verify the correct behavior of new prompt handling and event emissions during crew project execution. * fix: refine json-first crew interactions * fix: prioritize common json crew tools * fix: make json crew more tools expandable * fix: show json crew tools by category * feat(memory): update default embedder to OpenAI text-embedding-3-large and enhance memory compatibility - Changed the default embedding model for Memory to OpenAI text-embedding-3-large, which uses 3072-dimensional vectors. - Added warnings regarding compatibility issues with existing local memory stores created with 1536-dimensional embeddings. - Updated documentation to reflect the new default embedder and its configuration options. - Enhanced the CLI and codebase to support the new embedding model across various components, ensuring a seamless transition for users. * fix: address PR review feedback for JSON-first crews Review blockers: - Forward trained_agents_file to JSON crews: crewai run -f now exports CREWAI_TRAINED_AGENTS_FILE for the in-process JSON crew path - Wizard agent picker: Esc/cancel now reprompts instead of silently assigning the first agent - JSON tool resolution hard-fails: unknown tool names, missing custom tool files, and invalid custom tool modules raise JSONProjectError with actionable messages instead of warn-and-continue - Embedding dimension mismatch: LanceDB and Qdrant Edge storages raise EmbeddingDimensionMismatchError with reset/pin guidance instead of silently zero-filling vectors or returning empty search results - Custom tool code execution documented in loader docstring and the scaffolded project README CI fixes: - ruff format across lib/ - All 133 PR-introduced mypy errors fixed (llm.py lazy-litellm and cli.py lazy command shims now use TYPE_CHECKING imports; textual is_mounted misuse fixed; pick_many overloads; misc annotations) Bot review comments: - Empty except blocks now have explanatory comments or debug logging - Removed unused _C_BG/_C_PANEL/_C_BORDER globals and redundant import re; tests use a single import style for create_json_crew Tests: trained-agents propagation, wizard cancel, tool resolution failures, and dimension mismatch guidance. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * fix: address second round of PR review comments Cursor Bugbot: - Wizard agent slugs: strip to [a-z0-9_] and fall back to agent_<n> so symbol-only roles can't produce an empty agents/.jsonc filename - Wizard task names: dedupe against prior task names and fall back to task_<n> for symbol-only descriptions CodeRabbit: - Agent.message(): import Task explicitly at runtime instead of relying on the namespace injection done by crewai/__init__ - Async executor: move the native-tools-unsupported fallback from _ainvoke_loop_react (self-recursion) to _ainvoke_loop_native_tools, mirroring the sync implementation - StepExecutor downgrade: keep the in-step conversation and append the text-tooling instructions instead of rebuilding messages, so completed native tool calls are not re-executed - crewai-files: extension-based MIME lookup now runs before byte sniffing so csv/xml types are not degraded to text/plain - Memory storages: validate every record in a save() batch against a consistent embedding dimension (LanceDB previously checked only the first record); added mixed-batch tests - _print_post_tui_summary now typed against CrewRunApp - Docs: Azure OpenAI default embedder change called out in the memory migration warning and provider table Code quality bots: - Removed unused _C_YELLOW/_C_CYAN (crew_run_tui) and _GREEN (tui_picker) Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * feat(cli): accordion tool picker in JSON crew wizard The flat tool list had grown to ~90 rows. The picker now shows: - Common tools always visible at the top - Every other category as a single expandable row with tool and selection counts (e.g. "Search & Research (27 tools, 2 selected)") - Expanding a category collapses the previously expanded one - Selections persist across expand/collapse via new preselected support in pick_many; cursor follows the toggled category row tui_picker gains preselected + initial_cursor options on pick_many, and Esc in multi-select now confirms the current selection instead of discarding it (required so collapsing can't silently drop choices). Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * refactor(cli): remove --daemon flag from crewai run The flag only affected JSON crew projects — classic and flow projects ignored it entirely, which made the behavior inconsistent. Removed the option, the daemon code path (_run_json_crew_daemon), and its helper (_load_json_crew_with_inputs). Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * test: update run command tests after --daemon removal lib/crewai/tests/cli/test_run_crew.py still asserted the old run_crew(trained_agents_file=..., daemon=False) call signature. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * fix(cli): exit codes, mid-run quit, async statuses, hyphen placeholders Addresses the latest Bugbot review round: - Failed JSON crew runs now exit non-zero (SystemExit(1)) so scripts and CI don't treat failures as success, mirroring the classic path - Quitting the TUI mid-run now ends the process (os._exit(130)); kickoff runs in a thread worker that cannot be force-cancelled, so letting the CLI return would leave LLM/tool work burning tokens in the background - Sidebar task statuses are now async-safe: completion/failure events resolve the task's own row via identity instead of assuming the most recently started task, and starting a task no longer blanket-marks earlier active rows as done - The runtime-input prompt regex now accepts hyphenated placeholder names ({my-topic}), matching kickoff's interpolation pattern Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * fix: validation safety, custom tool sandboxing, TUI log integrity, memory error surfacing - Deploy validation no longer executes project code: validation mode checks tool declarations structurally (well-formed entries, custom tool file exists) without importing or instantiating anything. custom:<name> resolution only happens on the actual run path. - custom:<name> is constrained to [A-Za-z_][A-Za-z0-9_]* and the resolved path must stay inside the project's tools/ directory, so custom:../foo or absolute-path names cannot execute code outside it. Tool paths resolve relative to the crew project root, not cwd. - TUI task logs are built from per-task state captured at task start (idx, description, agent, start time); an out-of-order completion takes its output from the event and no longer steals or resets the current task's streamed steps/output. - EmbeddingDimensionMismatchError now inherits ValueError instead of RuntimeError so background saves surface it through MemorySaveFailedEvent instead of silently dropping the save; the shutdown catch in _background_encode_batch is narrowed to the "cannot schedule new futures" case. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * fix(cli): declared project type wins over crew.json presence A flow project that also contains a crew.json(c) file now runs and validates as the flow it declares in pyproject.toml instead of being hijacked by the JSON crew path. Both crewai run (_has_json_crew) and deploy validation (_is_json_crew) check tool.crewai.type; a missing or unreadable pyproject still means a bare JSON crew project. Also documents why StepObservationFailedEvent intentionally marks the plan step "done": the event signals an observer failure, not a step failure, and the executor continues past it. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * fix(cli): type the declared_type locals so mypy stays clean Comparing an Any-typed .get() chain returns Any, which tripped no-any-return on the previous commit. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> --------- Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
307 lines
12 KiB
Python
307 lines
12 KiB
Python
import sys
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import unittest
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from io import StringIO
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from unittest.mock import MagicMock, Mock, patch
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import pytest
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import json
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import httpx
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from crewai_cli.deploy.main import DeployCommand
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from crewai_cli.utils import parse_toml
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class TestDeployCommand(unittest.TestCase):
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@patch("crewai_cli.command.get_auth_token")
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@patch("crewai_cli.deploy.main.get_project_name")
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@patch("crewai_cli.command.PlusAPI")
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def setUp(
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self,
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mock_plus_api,
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mock_get_project_name,
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mock_get_auth_token,
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):
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self.mock_get_auth_token = mock_get_auth_token
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self.mock_get_project_name = mock_get_project_name
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self.mock_plus_api = mock_plus_api
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self.mock_get_auth_token.return_value = "test_token"
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self.mock_get_project_name.return_value = "test_project"
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self.deploy_command = DeployCommand()
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self.mock_client = self.deploy_command.plus_api_client
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def test_init_success(self):
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self.assertEqual(self.deploy_command.project_name, "test_project")
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self.mock_plus_api.assert_called_once_with(api_key="test_token")
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@patch("crewai_cli.command.get_auth_token")
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def test_init_failure(self, mock_get_auth_token):
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mock_get_auth_token.side_effect = Exception("Auth failed")
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with self.assertRaises(SystemExit):
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DeployCommand()
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def test_validate_response_successful_response(self):
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mock_response = Mock(spec=httpx.Response)
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mock_response.json.return_value = {"message": "Success"}
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mock_response.status_code = 200
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mock_response.is_success = True
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with patch("sys.stdout", new=StringIO()) as fake_out:
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self.deploy_command._validate_response(mock_response)
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assert fake_out.getvalue() == ""
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def test_validate_response_json_decode_error(self):
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mock_response = Mock(spec=httpx.Response)
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mock_response.json.side_effect = json.JSONDecodeError("Decode error", "", 0)
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mock_response.status_code = 500
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mock_response.content = b"Invalid JSON"
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with patch("sys.stdout", new=StringIO()) as fake_out:
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with pytest.raises(SystemExit):
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self.deploy_command._validate_response(mock_response)
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output = fake_out.getvalue()
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assert (
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"Failed to parse response from Enterprise API failed. Details:"
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in output
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)
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assert "Status Code: 500" in output
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assert "Response:\nInvalid JSON" in output
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def test_validate_response_422_error(self):
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mock_response = Mock(spec=httpx.Response)
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mock_response.json.return_value = {
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"field1": ["Error message 1"],
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"field2": ["Error message 2"],
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}
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mock_response.status_code = 422
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mock_response.is_success = False
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with patch("sys.stdout", new=StringIO()) as fake_out:
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with pytest.raises(SystemExit):
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self.deploy_command._validate_response(mock_response)
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output = fake_out.getvalue()
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assert (
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"Failed to complete operation. Please fix the following errors:"
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in output
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)
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assert "Field1 Error message 1" in output
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assert "Field2 Error message 2" in output
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def test_validate_response_other_error(self):
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mock_response = Mock(spec=httpx.Response)
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mock_response.json.return_value = {"error": "Something went wrong"}
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mock_response.status_code = 500
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mock_response.is_success = False
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with patch("sys.stdout", new=StringIO()) as fake_out:
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with pytest.raises(SystemExit):
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self.deploy_command._validate_response(mock_response)
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output = fake_out.getvalue()
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assert "Request to Enterprise API failed. Details:" in output
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assert "Details:\nSomething went wrong" in output
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def test_standard_no_param_error_message(self):
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with patch("sys.stdout", new=StringIO()) as fake_out:
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self.deploy_command._standard_no_param_error_message()
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self.assertIn("No UUID provided", fake_out.getvalue())
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def test_display_deployment_info(self):
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with patch("sys.stdout", new=StringIO()) as fake_out:
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self.deploy_command._display_deployment_info(
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{"uuid": "test-uuid", "status": "deployed"}
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)
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self.assertIn("Deploying the crew...", fake_out.getvalue())
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self.assertIn("test-uuid", fake_out.getvalue())
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self.assertIn("deployed", fake_out.getvalue())
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def test_display_logs(self):
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with patch("sys.stdout", new=StringIO()) as fake_out:
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self.deploy_command._display_logs(
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[{"timestamp": "2023-01-01", "level": "INFO", "message": "Test log"}]
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)
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self.assertIn("2023-01-01 - INFO: Test log", fake_out.getvalue())
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@patch("crewai_cli.deploy.main.DeployCommand._display_deployment_info")
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def test_deploy_with_uuid(self, mock_display):
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mock_response = MagicMock()
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mock_response.status_code = 200
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mock_response.json.return_value = {"uuid": "test-uuid"}
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self.mock_client.deploy_by_uuid.return_value = mock_response
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self.deploy_command.deploy(uuid="test-uuid", skip_validate=True)
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self.mock_client.deploy_by_uuid.assert_called_once_with("test-uuid")
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mock_display.assert_called_once_with({"uuid": "test-uuid"})
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@patch("crewai_cli.deploy.main.DeployCommand._display_deployment_info")
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def test_deploy_with_project_name(self, mock_display):
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mock_response = MagicMock()
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mock_response.status_code = 200
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mock_response.json.return_value = {"uuid": "test-uuid"}
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self.mock_client.deploy_by_name.return_value = mock_response
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self.deploy_command.deploy(skip_validate=True)
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self.mock_client.deploy_by_name.assert_called_once_with("test_project")
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mock_display.assert_called_once_with({"uuid": "test-uuid"})
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@patch("crewai_cli.deploy.main.fetch_and_json_env_file")
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@patch("crewai_cli.deploy.main.git.Repository.origin_url")
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@patch("builtins.input")
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@pytest.mark.timeout(180)
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def test_create_crew(self, mock_input, mock_git_origin_url, mock_fetch_env):
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mock_fetch_env.return_value = {"ENV_VAR": "value"}
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mock_git_origin_url.return_value = "https://github.com/test/repo.git"
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mock_input.return_value = ""
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mock_response = MagicMock()
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mock_response.status_code = 201
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mock_response.json.return_value = {"uuid": "new-uuid", "status": "created"}
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self.mock_client.create_crew.return_value = mock_response
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with patch("sys.stdout", new=StringIO()) as fake_out:
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self.deploy_command.create_crew(skip_validate=True)
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self.assertIn("Deployment created successfully!", fake_out.getvalue())
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self.assertIn("new-uuid", fake_out.getvalue())
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@patch("crewai_cli.deploy.main.fetch_and_json_env_file")
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@patch("crewai_cli.deploy.main.git.Repository")
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def test_create_crew_without_git_repo_shows_setup_help(
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self, mock_repository, mock_fetch_env
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):
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mock_fetch_env.return_value = {"ENV_VAR": "value"}
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mock_repository.side_effect = ValueError("not a Git repository")
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with patch("sys.stdout", new=StringIO()) as fake_out:
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self.deploy_command.create_crew(skip_validate=True)
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output = fake_out.getvalue()
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self.assertIn("Deployment requires a Git repository", output)
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self.assertIn("git init", output)
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self.assertIn("git remote add origin <your-repo-url>", output)
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self.mock_client.create_crew.assert_not_called()
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@patch("crewai_cli.deploy.main.fetch_and_json_env_file")
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@patch("crewai_cli.deploy.main.git.Repository")
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def test_create_crew_without_remote_shows_remote_help(
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self, mock_repository, mock_fetch_env
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):
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mock_fetch_env.return_value = {"ENV_VAR": "value"}
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mock_repository.return_value.origin_url.return_value = None
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with patch("sys.stdout", new=StringIO()) as fake_out:
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self.deploy_command.create_crew(skip_validate=True)
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output = fake_out.getvalue()
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self.assertIn("No remote repository URL found.", output)
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self.assertIn("git remote add origin <your-repo-url>", output)
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self.assertIn("git push -u origin HEAD", output)
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self.mock_client.create_crew.assert_not_called()
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def test_list_crews(self):
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mock_response = MagicMock()
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mock_response.status_code = 200
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mock_response.json.return_value = [
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{"name": "Crew1", "uuid": "uuid1", "status": "active"},
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{"name": "Crew2", "uuid": "uuid2", "status": "inactive"},
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]
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self.mock_client.list_crews.return_value = mock_response
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with patch("sys.stdout", new=StringIO()) as fake_out:
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self.deploy_command.list_crews()
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self.assertIn("Crew1 (uuid1) active", fake_out.getvalue())
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self.assertIn("Crew2 (uuid2) inactive", fake_out.getvalue())
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def test_get_crew_status(self):
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mock_response = MagicMock()
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mock_response.status_code = 200
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mock_response.json.return_value = {"name": "InternalCrew", "status": "active"}
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self.mock_client.crew_status_by_name.return_value = mock_response
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with patch("sys.stdout", new=StringIO()) as fake_out:
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self.deploy_command.get_crew_status()
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self.assertIn("InternalCrew", fake_out.getvalue())
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self.assertIn("active", fake_out.getvalue())
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def test_get_crew_logs(self):
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mock_response = MagicMock()
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mock_response.status_code = 200
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mock_response.json.return_value = [
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{"timestamp": "2023-01-01", "level": "INFO", "message": "Log1"},
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{"timestamp": "2023-01-02", "level": "ERROR", "message": "Log2"},
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]
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self.mock_client.crew_by_name.return_value = mock_response
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with patch("sys.stdout", new=StringIO()) as fake_out:
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self.deploy_command.get_crew_logs(None)
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self.assertIn("2023-01-01 - INFO: Log1", fake_out.getvalue())
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self.assertIn("2023-01-02 - ERROR: Log2", fake_out.getvalue())
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def test_remove_crew(self):
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mock_response = MagicMock()
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mock_response.status_code = 204
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self.mock_client.delete_crew_by_name.return_value = mock_response
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with patch("sys.stdout", new=StringIO()) as fake_out:
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self.deploy_command.remove_crew(None)
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self.assertIn(
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"Crew 'test_project' removed successfully", fake_out.getvalue()
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)
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@unittest.skipIf(sys.version_info < (3, 11), "Requires Python 3.11+")
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def test_parse_toml_python_311_plus(self):
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toml_content = """
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[tool.poetry]
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name = "test_project"
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version = "0.1.0"
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[tool.poetry.dependencies]
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python = "^3.11"
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crewai = { extras = ["tools"], version = ">=0.51.0,<1.0.0" }
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"""
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parsed = parse_toml(toml_content)
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self.assertEqual(parsed["tool"]["poetry"]["name"], "test_project")
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@patch(
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"builtins.open",
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new_callable=unittest.mock.mock_open,
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read_data="""
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[project]
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name = "test_project"
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version = "0.1.0"
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requires-python = ">=3.10,<3.14"
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dependencies = ["crewai"]
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""",
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|
)
|
|
def test_get_project_name_python_310(self, mock_open):
|
|
from crewai_cli.utils import get_project_name
|
|
|
|
project_name = get_project_name()
|
|
print("project_name", project_name)
|
|
self.assertEqual(project_name, "test_project")
|
|
|
|
@unittest.skipIf(sys.version_info < (3, 11), "Requires Python 3.11+")
|
|
@patch(
|
|
"builtins.open",
|
|
new_callable=unittest.mock.mock_open,
|
|
read_data="""
|
|
[project]
|
|
name = "test_project"
|
|
version = "0.1.0"
|
|
requires-python = ">=3.10,<3.14"
|
|
dependencies = ["crewai"]
|
|
""",
|
|
)
|
|
def test_get_project_name_python_311_plus(self, mock_open):
|
|
from crewai_cli.utils import get_project_name
|
|
|
|
project_name = get_project_name()
|
|
self.assertEqual(project_name, "test_project")
|
|
|
|
def test_get_crewai_version(self):
|
|
from crewai_cli.version import get_crewai_version
|
|
|
|
assert isinstance(get_crewai_version(), str)
|