diff --git a/samples/mcp-refactoring-assistant/.agent/CLI_REFERENCE.md b/samples/mcp-refactoring-assistant/.agent/CLI_REFERENCE.md new file mode 100644 index 00000000..e6d38342 --- /dev/null +++ b/samples/mcp-refactoring-assistant/.agent/CLI_REFERENCE.md @@ -0,0 +1,560 @@ +## CLI Commands Reference + +The UiPath Python SDK provides a comprehensive CLI for managing coded agents and automation projects. All commands should be executed with `uv run uipath `. + +### Command Overview + +| Command | Purpose | When to Use | +|---------|---------|-------------| +| `init` | Initialize agent project | Creating a new agent or updating schema | +| `run` | Execute agent | Running agent locally or testing | +| `eval` | Evaluate agent | Testing agent performance with evaluation sets | + +--- + +### `uipath init` + +**Description:** Initialize the project. + +**Options:** + +| Option | Type | Default | Description | +|--------|------|---------|-------------| +| `--no-agents-md-override` | flag | false | Won't override existing .agent files and AGENTS.md file. | + +**Usage Examples:** + +```bash +# Initialize a new agent project +uv run uipath init + +# Initialize with specific entrypoint +uv run uipath init main.py + +# Initialize and infer bindings from code +uv run uipath init --infer-bindings +``` + +**When to use:** Run this command when you've modified the Input/Output models and need to regenerate the `uipath.json` schema file. + +--- + +### `uipath run` + +**Description:** Execute the project. + +**Arguments:** + +| Argument | Required | Description | +|----------|----------|-------------| +| `entrypoint` | No | N/A | +| `input` | No | N/A | + +**Options:** + +| Option | Type | Default | Description | +|--------|------|---------|-------------| +| `--resume` | flag | false | Resume execution from a previous state | +| `-f`, `--file` | value | `Sentinel.UNSET` | File path for the .json input | +| `--input-file` | value | `Sentinel.UNSET` | Alias for '-f/--file' arguments | +| `--output-file` | value | `Sentinel.UNSET` | File path where the output will be written | +| `--trace-file` | value | `Sentinel.UNSET` | File path where the trace spans will be written (JSON Lines format) | +| `--debug` | flag | false | Enable debugging with debugpy. The process will wait for a debugger to attach. | +| `--debug-port` | value | `5678` | Port for the debug server (default: 5678) | + +**Usage Examples:** + +```bash +# Run agent with inline JSON input +uv run uipath run main.py '{"query": "What is the weather?"}' + +# Run agent with input from file +uv run uipath run main.py --file input.json + +# Run agent and save output to file +uv run uipath run agent '{"task": "Process data"}' --output-file result.json + +# Run agent with debugging enabled +uv run uipath run main.py '{"input": "test"}' --debug --debug-port 5678 + +# Resume agent execution from previous state +uv run uipath run --resume +``` + +**When to use:** Run this command to execute your agent locally for development, testing, or debugging. Use `--debug` flag to attach a debugger for step-by-step debugging. + +--- + +### `uipath eval` + +**Description:** Run an evaluation set against the agent. + + Args: + entrypoint: Path to the agent script to evaluate (optional, will auto-discover if not specified) + eval_set: Path to the evaluation set JSON file (optional, will auto-discover if not specified) + eval_ids: Optional list of evaluation IDs + eval_set_run_id: Custom evaluation set run ID (optional, will generate UUID if not specified) + workers: Number of parallel workers for running evaluations + no_report: Do not report the evaluation results + enable_mocker_cache: Enable caching for LLM mocker responses + report_coverage: Report evaluation coverage + + +**Arguments:** + +| Argument | Required | Description | +|----------|----------|-------------| +| `entrypoint` | No | N/A | +| `eval_set` | No | N/A | + +**Options:** + +| Option | Type | Default | Description | +|--------|------|---------|-------------| +| `--eval-set-run-id` | value | `Sentinel.UNSET` | Custom evaluation set run ID (if not provided, a UUID will be generated) | +| `--no-report` | flag | false | Do not report the evaluation results | +| `--workers` | value | `1` | Number of parallel workers for running evaluations (default: 1) | +| `--output-file` | value | `Sentinel.UNSET` | File path where the output will be written | +| `--enable-mocker-cache` | flag | false | Enable caching for LLM mocker responses | +| `--report-coverage` | flag | false | Report evaluation coverage | + +**Usage Examples:** + +```bash +# Run evaluation with auto-discovered files +uv run uipath eval + +# Run evaluation with specific entrypoint and eval set +uv run uipath eval main.py eval_set.json + +# Run evaluation without reporting results +uv run uipath eval --no-report + +# Run evaluation with custom number of workers +uv run uipath eval --workers 4 + +# Save evaluation output to file +uv run uipath eval --output-file eval_results.json +``` + +**When to use:** Run this command to test your agent's performance against a predefined evaluation set. This helps validate agent behavior and measure quality metrics. + +--- + +### Common Workflows + +**1. Creating a New Agent:** +```bash +# Step 1: Initialize project +uv run uipath init + +# Step 2: Run agent to test +uv run uipath run main.py '{"input": "test"}' + +# Step 3: Evaluate agent performance +uv run uipath eval +``` + +**2. Development & Testing:** +```bash +# Run with debugging +uv run uipath run main.py '{"input": "test"}' --debug + +# Test with input file +uv run uipath run main.py --file test_input.json --output-file test_output.json +``` + +**3. Schema Updates:** +```bash +# After modifying Input/Output models, regenerate schema +uv run uipath init --infer-bindings +``` + +### Configuration File (uipath.json) + +The `uipath.json` file is automatically generated by `uipath init` and defines your agent's schema and bindings. + +**Structure:** + +```json +{ + "entryPoints": [ + { + "filePath": "agent", + "uniqueId": "uuid-here", + "type": "agent", + "input": { + "type": "object", + "properties": { ... }, + "description": "Input schema", + "required": [ ... ] + }, + "output": { + "type": "object", + "properties": { ... }, + "description": "Output schema", + "required": [ ... ] + } + } + ], + "bindings": { + "version": "2.0", + "resources": [] + } +} +``` + +**When to Update:** + +1. **After Modifying Input/Output Models**: Run `uv run uipath init --infer-bindings` to regenerate schemas +2. **Changing Entry Point**: Update `filePath` if you rename or move your main file +3. **Manual Schema Adjustments**: Edit `input.jsonSchema` or `output.jsonSchema` directly if needed +4. **Bindings Updates**: The `bindings` section maps the exported graph variable - update if you rename your graph + +**Important Notes:** + +- The `uniqueId` should remain constant for the same agent +- Always use `type: "agent"` for LangGraph agents +- The `jsonSchema` must match your Pydantic models exactly +- Re-run `uipath init --infer-bindings` instead of manual edits when possible + + +## Service Commands Reference + +The UiPath CLI provides commands for interacting with UiPath platform services. These commands allow you to manage buckets, assets, jobs, and other resources. + +### `uipath buckets` + +Manage UiPath storage buckets and files. + +Buckets are cloud storage containers for files used by automation processes. + + +Bucket Operations: + list - List all buckets + create - Create a new bucket + delete - Delete a bucket + retrieve - Get bucket details + exists - Check if bucket exists + + +File Operations (use 'buckets files' subcommand): + files list - List files in a bucket + files search - Search files using glob patterns + files upload - Upload a file to a bucket + files download - Download a file from a bucket + files delete - Delete a file from a bucket + files exists - Check if a file exists + + +Examples: +  + # Bucket operations with explicit folder + uipath buckets list --folder-path "Shared" + uipath buckets create my-bucket --description "Data storage" + uipath buckets exists my-bucket + uipath buckets delete my-bucket --confirm +  + # Using environment variable for folder context + export UIPATH_FOLDER_PATH="Shared" + uipath buckets list + uipath buckets create my-bucket --description "Data storage" +  + # File operations + uipath buckets files list my-bucket + uipath buckets files search my-bucket "*.pdf" + uipath buckets files upload my-bucket ./data.csv remote/data.csv + uipath buckets files download my-bucket data.csv ./local.csv + uipath buckets files delete my-bucket old-data.csv --confirm + uipath buckets files exists my-bucket data.csv + + +**Subcommands:** + +**`uipath buckets create`** + +Create a new Bucket. + +Examples: + uipath buckets create my-resource + uipath buckets create my-resource --folder-path Shared + + +Arguments: +- `name` (required): N/A + +Options: +- `--description`: Bucket description +- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) +- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) +- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) +- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) + +**`uipath buckets delete`** + +Delete a bucket. + +  + Examples: + uipath buckets delete my-bucket --confirm + uipath buckets delete my-bucket --dry-run + + +Arguments: +- `name` (required): N/A + +Options: +- `--confirm`: Skip confirmation prompt +- `--dry-run`: Show what would be deleted without deleting +- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) +- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) +- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) +- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) + +**`uipath buckets exists`** + +Check if a Bucket exists. + +Examples: + uipath buckets exists my-resource + uipath buckets exists my-resource --folder-path Shared + + +Arguments: +- `name` (required): N/A + +Options: +- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) +- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) +- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) +- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) + +#### `uipath buckets files` + +Manage files within buckets. + +  + Examples: +  + # List files in a bucket + uipath buckets files list my-bucket +  + # Search for files with glob pattern + uipath buckets files search my-bucket "*.pdf" +  + # Upload a file + uipath buckets files upload my-bucket ./data.csv remote/data.csv +  + # Download a file + uipath buckets files download my-bucket data.csv ./local.csv +  + # Delete a file + uipath buckets files delete my-bucket old-data.csv --confirm +  + # Check if file exists + uipath buckets files exists my-bucket data.csv + + +**`uipath buckets files delete`** + +Delete a file from a bucket. + +  + Arguments: + BUCKET_NAME: Name of the bucket + FILE_PATH: Path to file in bucket + +  + Examples: + uipath buckets files delete my-bucket old-data.csv --confirm + uipath buckets files delete reports archive/old.pdf --dry-run + + +Arguments: +- `bucket_name` (required): N/A +- `file_path` (required): N/A + +Options: +- `--confirm`: Skip confirmation prompt +- `--dry-run`: Show what would be deleted +- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) +- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) +- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) +- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) + +**`uipath buckets files download`** + +Download a file from a bucket. + +  + Arguments: + BUCKET_NAME: Name of the bucket + REMOTE_PATH: Path to file in bucket + LOCAL_PATH: Local destination path + +  + Examples: + uipath buckets files download my-bucket data.csv ./downloads/data.csv + uipath buckets files download reports monthly/report.pdf ./report.pdf + + +Arguments: +- `bucket_name` (required): N/A +- `remote_path` (required): N/A +- `local_path` (required): N/A + +Options: +- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) +- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) +- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) +- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) + +**`uipath buckets files exists`** + +Check if a file exists in a bucket. + +  + Arguments: + BUCKET_NAME: Name of the bucket + FILE_PATH: Path to file in bucket + +  + Examples: + uipath buckets files exists my-bucket data.csv + uipath buckets files exists reports monthly/report.pdf + + +Arguments: +- `bucket_name` (required): N/A +- `file_path` (required): N/A + +Options: +- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) +- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) +- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) +- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) + +**`uipath buckets files list`** + +List files in a bucket. + +  + Arguments: + BUCKET_NAME: Name of the bucket + +  + Examples: + uipath buckets files list my-bucket + uipath buckets files list my-bucket --prefix "data/" + uipath buckets files list reports --limit 10 --format json + uipath buckets files list my-bucket --all + + +Arguments: +- `bucket_name` (required): N/A + +Options: +- `--prefix`: Filter files by prefix (default: ``) +- `--limit`: Maximum number of files to return (default: `Sentinel.UNSET`) +- `--offset`: Number of files to skip (default: `0`) +- `--all`: Fetch all files (auto-paginate) +- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) +- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) +- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) +- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) + +**`uipath buckets files search`** + +Search for files using glob patterns. + + Uses the GetFiles API which supports glob patterns like *.pdf or data_*.csv. + +  + Arguments: + BUCKET_NAME: Name of the bucket + PATTERN: Glob pattern to match files (e.g., "*.pdf", "data_*.csv") + +  + Examples: + uipath buckets files search my-bucket "*.pdf" + uipath buckets files search reports "*.csv" --recursive + uipath buckets files search my-bucket "data_*.json" --prefix "archive/" + + +Arguments: +- `bucket_name` (required): N/A +- `pattern` (required): N/A + +Options: +- `--prefix`: Directory path to search in (default: ``) +- `--recursive`: Search subdirectories recursively +- `--limit`: Maximum number of files to return (default: `Sentinel.UNSET`) +- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) +- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) +- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) +- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) + +**`uipath buckets files upload`** + +Upload a file to a bucket. + +  + Arguments: + BUCKET_NAME: Name of the bucket + LOCAL_PATH: Local file to upload + REMOTE_PATH: Destination path in bucket + +  + Examples: + uipath buckets files upload my-bucket ./data.csv remote/data.csv + uipath buckets files upload reports ./report.pdf monthly/report.pdf + + +Arguments: +- `bucket_name` (required): N/A +- `local_path` (required): N/A +- `remote_path` (required): N/A + +Options: +- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) +- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) +- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) +- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) + +**`uipath buckets list`** + +List all Buckets. + +Examples: + uipath buckets list + uipath buckets list --folder-path Shared + + +Options: +- `--limit`: Maximum number of items to return (default: `Sentinel.UNSET`) +- `--offset`: Number of items to skip (default: `0`) +- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) +- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) +- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) +- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) + +**`uipath buckets retrieve`** + +Retrieve a bucket by name or key. + +  + Examples: + uipath buckets retrieve --name "my-bucket" + uipath buckets retrieve --key "abc-123-def-456" --format json + + +Options: +- `--name`: Bucket name (default: `Sentinel.UNSET`) +- `--key`: Bucket key (UUID) (default: `Sentinel.UNSET`) +- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) +- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) +- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) +- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) + +--- + diff --git a/samples/mcp-refactoring-assistant/.agent/REQUIRED_STRUCTURE.md b/samples/mcp-refactoring-assistant/.agent/REQUIRED_STRUCTURE.md new file mode 100644 index 00000000..d568f424 --- /dev/null +++ b/samples/mcp-refactoring-assistant/.agent/REQUIRED_STRUCTURE.md @@ -0,0 +1,92 @@ +## Required Agent Structure + +**IMPORTANT**: All UiPath coded agents MUST follow this standard structure unless explicitly specified otherwise by the user. + +### Required Components + +Every agent implementation MUST include these three Pydantic models: + +```python +from pydantic import BaseModel + +class Input(BaseModel): + """Define input fields that the agent accepts""" + # Add your input fields here + pass + +class State(BaseModel): + """Define the agent's internal state that flows between nodes""" + # Add your state fields here + pass + +class Output(BaseModel): + """Define output fields that the agent returns""" + # Add your output fields here + pass +``` + +### Required LLM Initialization + +Unless the user explicitly requests a different LLM provider, always use `UiPathChat`: + +```python +from uipath_langchain.chat import UiPathChat + +llm = UiPathChat(model="gpt-4o-2024-08-06", temperature=0.7) +``` + +**Alternative LLMs** (only use if explicitly requested): +- `ChatOpenAI` from `langchain_openai` +- `ChatAnthropic` from `langchain_anthropic` +- Other LangChain-compatible LLMs + +### Standard Agent Template + +Every agent should follow this basic structure: + +```python +from langchain_core.messages import SystemMessage, HumanMessage +from langgraph.graph import START, StateGraph, END +from uipath_langchain.chat import UiPathChat +from pydantic import BaseModel + +# 1. Define Input, State, and Output models +class Input(BaseModel): + field: str + +class State(BaseModel): + field: str + result: str = "" + +class Output(BaseModel): + result: str + +# 2. Initialize UiPathChat LLM +llm = UiPathChat(model="gpt-4o-2024-08-06", temperature=0.7) + +# 3. Define agent nodes (async functions) +async def process_node(state: State) -> State: + response = await llm.ainvoke([HumanMessage(state.field)]) + return State(field=state.field, result=response.content) + +async def output_node(state: State) -> Output: + return Output(result=state.result) + +# 4. Build the graph +builder = StateGraph(State, input=Input, output=Output) +builder.add_node("process", process_node) +builder.add_node("output", output_node) +builder.add_edge(START, "process") +builder.add_edge("process", "output") +builder.add_edge("output", END) + +# 5. Compile the graph +graph = builder.compile() +``` + +**Key Rules**: +1. Always use async/await for all node functions +2. All nodes (except output) must accept and return `State` +3. The final output node must return `Output` +4. Use `StateGraph(State, input=Input, output=Output)` for initialization +5. Always compile with `graph = builder.compile()` diff --git a/samples/mcp-refactoring-assistant/.agent/SDK_REFERENCE.md b/samples/mcp-refactoring-assistant/.agent/SDK_REFERENCE.md new file mode 100644 index 00000000..499faab4 --- /dev/null +++ b/samples/mcp-refactoring-assistant/.agent/SDK_REFERENCE.md @@ -0,0 +1,619 @@ +## API Reference + +This section provides a comprehensive reference for all UiPath SDK services and methods. Each service is documented with complete method signatures, including parameter types and return types. + +### SDK Initialization + +Initialize the UiPath SDK client + +```python +from uipath.platform import UiPath + +# Initialize with environment variables +sdk = UiPath() + +# Or with explicit credentials +sdk = UiPath(base_url="https://cloud.uipath.com/...", secret="your_token") +``` + +### Api Client + +Api Client service + +```python +# Access api_client service methods +service = sdk.api_client + +``` + +### Assets + +Assets service + +```python +# Retrieve an asset by its name. +sdk.assets.retrieve(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.assets.UserAsset | uipath.platform.orchestrator.assets.Asset + +# Asynchronously retrieve an asset by its name. +sdk.assets.retrieve_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.assets.UserAsset | uipath.platform.orchestrator.assets.Asset + +# Gets a specified Orchestrator credential. +sdk.assets.retrieve_credential(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Optional[str] + +# Asynchronously gets a specified Orchestrator credential. +sdk.assets.retrieve_credential_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Optional[str] + +# Update an asset's value. +sdk.assets.update(robot_asset: uipath.platform.orchestrator.assets.UserAsset, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> httpx.Response + +# Asynchronously update an asset's value. +sdk.assets.update_async(robot_asset: uipath.platform.orchestrator.assets.UserAsset, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> httpx.Response + +``` + +### Attachments + +Attachments service + +```python +# Delete an attachment. +sdk.attachments.delete(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> None + +# Delete an attachment asynchronously. +sdk.attachments.delete_async(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> None + +# Download an attachment. +sdk.attachments.download(key: uuid.UUID, destination_path: str, folder_key: str | None=None, folder_path: str | None=None) -> str + +# Download an attachment asynchronously. +sdk.attachments.download_async(key: uuid.UUID, destination_path: str, folder_key: str | None=None, folder_path: str | None=None) -> str + +# Open an attachment. +sdk.attachments.open(attachment: uipath.platform.attachments.attachments.Attachment, mode: typing.Iterator[typing.Tuple[uipath.platform.attachments.attachments.Attachment, httpx.Response]] + +# Open an attachment asynchronously. +sdk.attachments.open_async(attachment: uipath.platform.attachments.attachments.Attachment, mode: typing.AsyncIterator[typing.Tuple[uipath.platform.attachments.attachments.Attachment, httpx.Response]] + +# Upload a file or content to UiPath as an attachment. +sdk.attachments.upload(name: str, content: str | bytes | None=None, source_path: str | None=None, folder_key: str | None=None, folder_path: str | None=None) -> uuid.UUID + +# Upload a file or content to UiPath as an attachment asynchronously. +sdk.attachments.upload_async(name: str, content: str | bytes | None=None, source_path: str | None=None, folder_key: str | None=None, folder_path: str | None=None) -> uuid.UUID + +``` + +### Buckets + +Buckets service + +```python +# Create a new bucket. +sdk.buckets.create(name: str, description: Optional[str]=None, identifier: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket + +# Async version of create(). +sdk.buckets.create_async(name: str, description: Optional[str]=None, identifier: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket + +# Delete a bucket. +sdk.buckets.delete(name: Optional[str]=None, key: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None + +# Async version of delete(). +sdk.buckets.delete_async(name: Optional[str]=None, key: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None + +# Delete a file from a bucket. +sdk.buckets.delete_file(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None + +# Delete a file from a bucket asynchronously. +sdk.buckets.delete_file_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None + +# Download a file from a bucket. +sdk.buckets.download(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None + +# Download a file from a bucket asynchronously. +sdk.buckets.download_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None + +# Check if bucket exists. +sdk.buckets.exists(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool + +# Async version of exists(). +sdk.buckets.exists_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool + +# Check if a file exists in a bucket. +sdk.buckets.exists_file(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool + +# Async version of exists_file(). +sdk.buckets.exists_file_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool + +# Get files using OData GetFiles API with offset-based pagination. +sdk.buckets.get_files(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", recursive: bool=False, file_name_glob: Optional[str]=None, skip: int=0, top: int=500, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] + +# Async version of get_files() with offset-based pagination. +sdk.buckets.get_files_async(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", recursive: bool=False, file_name_glob: Optional[str]=None, skip: int=0, top: int=500, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] + +# List buckets using OData API with offset-based pagination. +sdk.buckets.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, name: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.Bucket] + +# Async version of list() with offset-based pagination. +sdk.buckets.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, name: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.Bucket] + +# List files in a bucket using cursor-based pagination. +sdk.buckets.list_files(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", take_hint: int=500, continuation_token: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] + +# Async version of list_files() with cursor-based pagination. +sdk.buckets.list_files_async(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", take_hint: int=500, continuation_token: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] + +# Retrieve bucket information by its name. +sdk.buckets.retrieve(name: Optional[str]=None, key: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket + +# Asynchronously retrieve bucket information by its name. +sdk.buckets.retrieve_async(name: Optional[str]=None, key: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket + +# Upload a file to a bucket. +sdk.buckets.upload(key: Optional[str]=None, name: Optional[str]=None, blob_file_path: str, content_type: Optional[str]=None, source_path: Optional[str]=None, content: Union[str, bytes, NoneType]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None + +# Upload a file to a bucket asynchronously. +sdk.buckets.upload_async(key: Optional[str]=None, name: Optional[str]=None, blob_file_path: str, content_type: Optional[str]=None, source_path: Optional[str]=None, content: Union[str, bytes, NoneType]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None + +``` + +### Connections + +Connections service + +```python +# Invoke an activity synchronously. +sdk.connections.invoke_activity(activity_metadata: uipath.platform.connections.connections.ActivityMetadata, connection_id: str, activity_input: Dict[str, Any]) -> typing.Any + +# Invoke an activity asynchronously. +sdk.connections.invoke_activity_async(activity_metadata: uipath.platform.connections.connections.ActivityMetadata, connection_id: str, activity_input: Dict[str, Any]) -> typing.Any + +# Lists all connections with optional filtering. +sdk.connections.list(name: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, connector_key: Optional[str]=None, skip: Optional[int]=None, top: Optional[int]=None) -> typing.List[uipath.platform.connections.connections.Connection] + +# Asynchronously lists all connections with optional filtering. +sdk.connections.list_async(name: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, connector_key: Optional[str]=None, skip: Optional[int]=None, top: Optional[int]=None) -> typing.List[uipath.platform.connections.connections.Connection] + +# Synchronously retrieve connection API metadata. +sdk.connections.metadata(element_instance_id: int, connector_key: str, tool_path: str, parameters: Optional[Dict[str, str]]=None, schema_mode: bool=True, max_jit_depth: int=5) -> uipath.platform.connections.connections.ConnectionMetadata + +# Asynchronously retrieve connection API metadata. +sdk.connections.metadata_async(element_instance_id: int, connector_key: str, tool_path: str, parameters: Optional[Dict[str, str]]=None, schema_mode: bool=True, max_jit_depth: int=5) -> uipath.platform.connections.connections.ConnectionMetadata + +# Retrieve connection details by its key. +sdk.connections.retrieve(key: str) -> uipath.platform.connections.connections.Connection + +# Asynchronously retrieve connection details by its key. +sdk.connections.retrieve_async(key: str) -> uipath.platform.connections.connections.Connection + +# Retrieve event payload from UiPath Integration Service. +sdk.connections.retrieve_event_payload(event_args: uipath.platform.connections.connections.EventArguments) -> typing.Dict[str, typing.Any] + +# Retrieve event payload from UiPath Integration Service. +sdk.connections.retrieve_event_payload_async(event_args: uipath.platform.connections.connections.EventArguments) -> typing.Dict[str, typing.Any] + +# Retrieve an authentication token for a connection. +sdk.connections.retrieve_token(key: str, token_type: uipath.platform.connections.connections.ConnectionToken + +# Asynchronously retrieve an authentication token for a connection. +sdk.connections.retrieve_token_async(key: str, token_type: uipath.platform.connections.connections.ConnectionToken + +``` + +### Context Grounding + +Context Grounding service + +```python +# Add content to the index. +sdk.context_grounding.add_to_index(name: str, blob_file_path: str, content_type: Optional[str]=None, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, ingest_data: bool=True) -> None + +# Asynchronously add content to the index. +sdk.context_grounding.add_to_index_async(name: str, blob_file_path: str, content_type: Optional[str]=None, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, ingest_data: bool=True) -> None + +# Create a new context grounding index. +sdk.context_grounding.create_index(name: str, source: Union[uipath.platform.context_grounding.context_grounding_payloads.BucketSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.GoogleDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.DropboxSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.OneDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.ConfluenceSourceConfig], description: Optional[str]=None, advanced_ingestion: Optional[bool]=True, preprocessing_request: Optional[str]="#UiPath.Vdbs.Domain.Api.V20Models.LLMV4PreProcessingRequest", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex + +# Create a new context grounding index. +sdk.context_grounding.create_index_async(name: str, source: Union[uipath.platform.context_grounding.context_grounding_payloads.BucketSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.GoogleDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.DropboxSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.OneDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.ConfluenceSourceConfig], description: Optional[str]=None, advanced_ingestion: Optional[bool]=True, preprocessing_request: Optional[str]="#UiPath.Vdbs.Domain.Api.V20Models.LLMV4PreProcessingRequest", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex + +# Delete a context grounding index. +sdk.context_grounding.delete_index(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None + +# Asynchronously delete a context grounding index. +sdk.context_grounding.delete_index_async(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None + +# Downloads the Batch Transform result file to the specified path. +sdk.context_grounding.download_batch_transform_result(id: str, destination_path: str, validate_status: bool=True, index_name: str | None=None) -> None + +# Asynchronously downloads the Batch Transform result file to the specified path. +sdk.context_grounding.download_batch_transform_result_async(id: str, destination_path: str, validate_status: bool=True, index_name: str | None=None) -> None + +# Ingest data into the context grounding index. +sdk.context_grounding.ingest_data(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None + +# Asynchronously ingest data into the context grounding index. +sdk.context_grounding.ingest_data_async(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None + +# Retrieve context grounding index information by its name. +sdk.context_grounding.retrieve(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex + +# Asynchronously retrieve context grounding index information by its name. +sdk.context_grounding.retrieve_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex + +# Retrieves a Batch Transform task status. +sdk.context_grounding.retrieve_batch_transform(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformResponse + +# Asynchronously retrieves a Batch Transform task status. +sdk.context_grounding.retrieve_batch_transform_async(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformResponse + +# Retrieve context grounding index information by its ID. +sdk.context_grounding.retrieve_by_id(id: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Any + +# Retrieve asynchronously context grounding index information by its ID. +sdk.context_grounding.retrieve_by_id_async(id: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Any + +# Retrieves a Deep RAG task. +sdk.context_grounding.retrieve_deep_rag(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.DeepRagResponse + +# Asynchronously retrieves a Deep RAG task. +sdk.context_grounding.retrieve_deep_rag_async(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.DeepRagResponse + +# Search for contextual information within a specific index. +sdk.context_grounding.search(name: str, query: str, number_of_results: int=10, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[uipath.platform.context_grounding.context_grounding.ContextGroundingQueryResponse] + +# Search asynchronously for contextual information within a specific index. +sdk.context_grounding.search_async(name: str, query: str, number_of_results: int=10, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[uipath.platform.context_grounding.context_grounding.ContextGroundingQueryResponse] + +# Starts a Batch Transform, task on the targeted index. +sdk.context_grounding.start_batch_transform(name: str, index_name: str, prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], output_columns: list[uipath.platform.context_grounding.context_grounding.BatchTransformOutputColumn], storage_bucket_folder_path_prefix: Annotated[str | None, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]=None, enable_web_search_grounding: bool=False, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformCreationResponse + +# Asynchronously starts a Batch Transform, task on the targeted index. +sdk.context_grounding.start_batch_transform_async(name: str, index_name: str, prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], output_columns: list[uipath.platform.context_grounding.context_grounding.BatchTransformOutputColumn], storage_bucket_folder_path_prefix: Annotated[str | None, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]=None, enable_web_search_grounding: bool=False, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformCreationResponse + +# Starts a Deep RAG task on the targeted index. +sdk.context_grounding.start_deep_rag(name: str, index_name: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])], prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], glob_pattern: Annotated[str, FieldInfo(annotation=NoneType, required=False, default='*', metadata=[MaxLen(max_length=512)])]="**", citation_mode: uipath.platform.context_grounding.context_grounding.DeepRagCreationResponse + +# Asynchronously starts a Deep RAG task on the targeted index. +sdk.context_grounding.start_deep_rag_async(name: str, index_name: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])], prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], glob_pattern: Annotated[str, FieldInfo(annotation=NoneType, required=False, default='*', metadata=[MaxLen(max_length=512)])]="**", citation_mode: uipath.platform.context_grounding.context_grounding.DeepRagCreationResponse + +``` + +### Conversational + +Conversational service + +```python +# Access conversational service methods +service = sdk.conversational + +``` + +### Documents + +Documents service + +```python +# Classify a document using a DU Modern project. +sdk.documents.classify(project_type: typing.List[uipath.platform.documents.documents.ClassificationResult] + +# Asynchronously version of the [`classify`][uipath.platform.documents._documents_service.DocumentsService.classify] method. +sdk.documents.classify_async(project_type: typing.List[uipath.platform.documents.documents.ClassificationResult] + +# Create a validate classification action for a document based on the classification results. More details about validation actions can be found in the [official documentation](https://docs.uipath.com/ixp/automation-cloud/latest/user-guide/validating-classifications). +sdk.documents.create_validate_classification_action(action_title: str, action_priority: uipath.platform.documents.documents.ValidateClassificationAction + +# Asynchronous version of the [`create_validation_action`][uipath.platform.documents._documents_service.DocumentsService.create_validate_classification_action] method. +sdk.documents.create_validate_classification_action_async(action_title: str, action_priority: uipath.platform.documents.documents.ValidateClassificationAction + +# Create a validate extraction action for a document based on the extraction response. More details about validation actions can be found in the [official documentation](https://docs.uipath.com/ixp/automation-cloud/latest/user-guide/validating-extractions). +sdk.documents.create_validate_extraction_action(action_title: str, action_priority: uipath.platform.documents.documents.ValidateExtractionAction + +# Asynchronous version of the [`create_validation_action`][uipath.platform.documents._documents_service.DocumentsService.create_validate_extraction_action] method. +sdk.documents.create_validate_extraction_action_async(action_title: str, action_priority: uipath.platform.documents.documents.ValidateExtractionAction + +# Extract predicted data from a document using an DU Modern/IXP project. +sdk.documents.extract(tag: Optional[str]=None, project_name: Optional[str]=None, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None, classification_result: Optional[uipath.platform.documents.documents.ClassificationResult]=None, project_type: Optional[uipath.platform.documents.documents.ProjectType]=None, document_type_name: Optional[str]=None) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] + +# Asynchronously version of the [`extract`][uipath.platform.documents._documents_service.DocumentsService.extract] method. +sdk.documents.extract_async(tag: Optional[str]=None, project_name: Optional[str]=None, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None, classification_result: Optional[uipath.platform.documents.documents.ClassificationResult]=None, project_type: Optional[uipath.platform.documents.documents.ProjectType]=None, document_type_name: Optional[str]=None) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] + +# Get the result of a validate classification action. +sdk.documents.get_validate_classification_result(validation_action: uipath.platform.documents.documents.ValidateClassificationAction) -> typing.List[uipath.platform.documents.documents.ClassificationResult] + +# Asynchronous version of the [`get_validation_result`][uipath.platform.documents._documents_service.DocumentsService.get_validate_classification_result] method. +sdk.documents.get_validate_classification_result_async(validation_action: uipath.platform.documents.documents.ValidateClassificationAction) -> typing.List[uipath.platform.documents.documents.ClassificationResult] + +# Get the result of a validate extraction action. +sdk.documents.get_validate_extraction_result(validation_action: uipath.platform.documents.documents.ValidateExtractionAction) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] + +# Asynchronous version of the [`get_validation_result`][uipath.platform.documents._documents_service.DocumentsService.get_validate_extraction_result] method. +sdk.documents.get_validate_extraction_result_async(validation_action: uipath.platform.documents.documents.ValidateExtractionAction) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] + +``` + +### Entities + +Entities service + +```python +# Delete multiple records from an entity in a single batch operation. +sdk.entities.delete_records(entity_key: str, record_ids: List[str]) -> uipath.platform.entities.entities.EntityRecordsBatchResponse + +# Asynchronously delete multiple records from an entity in a single batch operation. +sdk.entities.delete_records_async(entity_key: str, record_ids: List[str]) -> uipath.platform.entities.entities.EntityRecordsBatchResponse + +# Insert multiple records into an entity in a single batch operation. +sdk.entities.insert_records(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse + +# Asynchronously insert multiple records into an entity in a single batch operation. +sdk.entities.insert_records_async(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse + +# List all entities in the Data Service. +sdk.entities.list_entities() -> typing.List[uipath.platform.entities.entities.Entity] + +# Asynchronously list all entities in the Data Service. +sdk.entities.list_entities_async() -> typing.List[uipath.platform.entities.entities.Entity] + +# List records from an entity with optional pagination and schema validation. +sdk.entities.list_records(entity_key: str, schema: Optional[Type[Any]]=None, start: Optional[int]=None, limit: Optional[int]=None) -> typing.List[uipath.platform.entities.entities.EntityRecord] + +# Asynchronously list records from an entity with optional pagination and schema validation. +sdk.entities.list_records_async(entity_key: str, schema: Optional[Type[Any]]=None, start: Optional[int]=None, limit: Optional[int]=None) -> typing.List[uipath.platform.entities.entities.EntityRecord] + +# Retrieve an entity by its key. +sdk.entities.retrieve(entity_key: str) -> uipath.platform.entities.entities.Entity + +# Asynchronously retrieve an entity by its key. +sdk.entities.retrieve_async(entity_key: str) -> uipath.platform.entities.entities.Entity + +# Update multiple records in an entity in a single batch operation. +sdk.entities.update_records(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse + +# Asynchronously update multiple records in an entity in a single batch operation. +sdk.entities.update_records_async(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse + +``` + +### Folders + +Folders service + +```python +# Resolve a folder path to its corresponding folder key. +sdk.folders.retrieve_folder_key(folder_path: str | None) -> str | None + +# Asynchronously resolve a folder path to its corresponding folder key. +sdk.folders.retrieve_folder_key_async(folder_path: str | None) -> str | None + +# Retrieve the folder key by folder path with pagination support. +sdk.folders.retrieve_key(folder_path: str) -> typing.Optional[str] + +# Retrieve the folder key by folder path with pagination support. +sdk.folders.retrieve_key_async(folder_path: str) -> typing.Optional[str] + +``` + +### Guardrails + +Guardrails service + +```python +# Validate input text using the provided guardrail. +sdk.guardrails.evaluate_guardrail(input_data: str | dict[str, Any], guardrail: uipath.platform.guardrails.guardrails.BuiltInValidatorGuardrail) -> uipath.core.guardrails.guardrails.GuardrailValidationResult + +``` + +### Jobs + +Jobs service + +```python +# Create and upload an attachment, optionally linking it to a job. +sdk.jobs.create_attachment(name: str, content: Union[str, bytes, NoneType]=None, source_path: Union[str, pathlib.Path, NoneType]=None, job_key: Union[str, uuid.UUID, NoneType]=None, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID + +# Create and upload an attachment asynchronously, optionally linking it to a job. +sdk.jobs.create_attachment_async(name: str, content: Union[str, bytes, NoneType]=None, source_path: Union[str, pathlib.Path, NoneType]=None, job_key: Union[str, uuid.UUID, NoneType]=None, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID + +# Check if job exists. +sdk.jobs.exists(job_key: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool + +# Async version of exists(). +sdk.jobs.exists_async(job_key: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool + +# Get the actual output data, downloading from attachment if necessary. +sdk.jobs.extract_output(job: uipath.platform.orchestrator.job.Job) -> typing.Optional[str] + +# Asynchronously fetch the actual output data, downloading from attachment if necessary. +sdk.jobs.extract_output_async(job: uipath.platform.orchestrator.job.Job) -> typing.Optional[str] + +# Link an attachment to a job. +sdk.jobs.link_attachment(attachment_key: uuid.UUID, job_key: uuid.UUID, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) + +# Link an attachment to a job asynchronously. +sdk.jobs.link_attachment_async(attachment_key: uuid.UUID, job_key: uuid.UUID, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) + +# List jobs using OData API with offset-based pagination. +sdk.jobs.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.job.Job] + +# Async version of list() with offset-based pagination. +sdk.jobs.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.job.Job] + +# List attachments associated with a specific job. +sdk.jobs.list_attachments(job_key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[str] + +# List attachments associated with a specific job asynchronously. +sdk.jobs.list_attachments_async(job_key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[str] + +# Restart a completed or failed job. +sdk.jobs.restart(job_key: str, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.job.Job + +# Async version of restart(). +sdk.jobs.restart_async(job_key: str, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.job.Job + +# Sends a payload to resume a paused job waiting for input, identified by its inbox ID. +sdk.jobs.resume(inbox_id: Optional[str]=None, job_id: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, payload: Any) -> None + +# Asynchronously sends a payload to resume a paused job waiting for input, identified by its inbox ID. +sdk.jobs.resume_async(inbox_id: Optional[str]=None, job_id: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, payload: Any) -> None + +# Retrieve a job identified by its key. +sdk.jobs.retrieve(job_key: str, folder_key: str | None=None, folder_path: str | None=None, process_name: str | None=None) -> uipath.platform.orchestrator.job.Job + +# Fetch payload data for API triggers. +sdk.jobs.retrieve_api_payload(inbox_id: str) -> typing.Any + +# Asynchronously fetch payload data for API triggers. +sdk.jobs.retrieve_api_payload_async(inbox_id: str) -> typing.Any + +# Asynchronously retrieve a job identified by its key. +sdk.jobs.retrieve_async(job_key: str, folder_key: str | None=None, folder_path: str | None=None, process_name: str | None=None) -> uipath.platform.orchestrator.job.Job + +# Stop one or more jobs with specified strategy. +sdk.jobs.stop(job_keys: List[str], strategy: str="SoftStop", folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None + +# Async version of stop(). +sdk.jobs.stop_async(job_keys: List[str], strategy: str="SoftStop", folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None + +``` + +### Llm + +Llm service + +```python +# Generate chat completions using UiPath's normalized LLM Gateway API. +sdk.llm.chat_completions(messages: list[dict[str, str]] | list[tuple[str, str]], model: str="gpt-4o-mini-2024-07-18", max_tokens: int=4096, temperature: float=0, n: int=1, frequency_penalty: float=0, presence_penalty: float=0, top_p: float | None=1, top_k: int | None=None, tools: list[uipath.platform.chat.llm_gateway.ToolDefinition] | None=None, tool_choice: Union[uipath.platform.chat.llm_gateway.AutoToolChoice, uipath.platform.chat.llm_gateway.RequiredToolChoice, uipath.platform.chat.llm_gateway.SpecificToolChoice, Literal['auto', 'none'], NoneType]=None, response_format: dict[str, Any] | type[pydantic.main.BaseModel] | None=None, api_version: str="2024-08-01-preview") + +``` + +### Llm Openai + +Llm Openai service + +```python +# Generate chat completions using UiPath's LLM Gateway service. +sdk.llm_openai.chat_completions(messages: list[dict[str, str]], model: str="gpt-4o-mini-2024-07-18", max_tokens: int=4096, temperature: float=0, response_format: dict[str, Any] | type[pydantic.main.BaseModel] | None=None, api_version: str="2024-10-21") + +# Generate text embeddings using UiPath's LLM Gateway service. +sdk.llm_openai.embeddings(input: str, embedding_model: str="text-embedding-ada-002", openai_api_version: str="2024-10-21") + +``` + +### Mcp + +Mcp service + +```python +# List all MCP servers. +sdk.mcp.list(folder_path: str | None=None) -> typing.List[uipath.platform.orchestrator.mcp.McpServer] + +# Asynchronously list all MCP servers. +sdk.mcp.list_async(folder_path: str | None=None) -> typing.List[uipath.platform.orchestrator.mcp.McpServer] + +# Retrieve a specific MCP server by its slug. +sdk.mcp.retrieve(slug: str, folder_path: str | None=None) -> uipath.platform.orchestrator.mcp.McpServer + +# Asynchronously retrieve a specific MCP server by its slug. +sdk.mcp.retrieve_async(slug: str, folder_path: str | None=None) -> uipath.platform.orchestrator.mcp.McpServer + +``` + +### Processes + +Processes service + +```python +# Start execution of a process by its name. +sdk.processes.invoke(name: str, input_arguments: Optional[Dict[str, Any]]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job + +# Asynchronously start execution of a process by its name. +sdk.processes.invoke_async(name: str, input_arguments: Optional[Dict[str, Any]]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job + +``` + +### Queues + +Queues service + +```python +# Completes a transaction item with the specified result. +sdk.queues.complete_transaction_item(transaction_key: str, result: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItemResult]) -> httpx.Response + +# Asynchronously completes a transaction item with the specified result. +sdk.queues.complete_transaction_item_async(transaction_key: str, result: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItemResult]) -> httpx.Response + +# Creates a new queue item in the Orchestrator. +sdk.queues.create_item(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]) -> httpx.Response + +# Asynchronously creates a new queue item in the Orchestrator. +sdk.queues.create_item_async(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]) -> httpx.Response + +# Creates multiple queue items in bulk. +sdk.queues.create_items(items: List[Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]], queue_name: str, commit_type: httpx.Response + +# Asynchronously creates multiple queue items in bulk. +sdk.queues.create_items_async(items: List[Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]], queue_name: str, commit_type: httpx.Response + +# Creates a new transaction item in a queue. +sdk.queues.create_transaction_item(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItem], no_robot: bool=False) -> httpx.Response + +# Asynchronously creates a new transaction item in a queue. +sdk.queues.create_transaction_item_async(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItem], no_robot: bool=False) -> httpx.Response + +# Retrieves a list of queue items from the Orchestrator. +sdk.queues.list_items() -> httpx.Response + +# Asynchronously retrieves a list of queue items from the Orchestrator. +sdk.queues.list_items_async() -> httpx.Response + +# Updates the progress of a transaction item. +sdk.queues.update_progress_of_transaction_item(transaction_key: str, progress: str) -> httpx.Response + +# Asynchronously updates the progress of a transaction item. +sdk.queues.update_progress_of_transaction_item_async(transaction_key: str, progress: str) -> httpx.Response + +``` + +### Resource Catalog + +Resource Catalog service + +```python +# Get tenant scoped resources and folder scoped resources (accessible to the user). +sdk.resource_catalog.list(resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, page_size: int=20) -> typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] + +# Asynchronously get tenant scoped resources and folder scoped resources (accessible to the user). +sdk.resource_catalog.list_async(resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, page_size: int=20) -> typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] + +# Get resources of a specific type (tenant scoped or folder scoped). +sdk.resource_catalog.list_by_type(resource_type: typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] + +# Asynchronously get resources of a specific type (tenant scoped or folder scoped). +sdk.resource_catalog.list_by_type_async(resource_type: typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] + +# Search for tenant scoped resources and folder scoped resources (accessible to the user). +sdk.resource_catalog.search(name: Optional[str]=None, resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, page_size: int=20) -> typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] + +# Asynchronously search for tenant scoped resources and folder scoped resources (accessible to the user). +sdk.resource_catalog.search_async(name: Optional[str]=None, resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, page_size: int=20) -> typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] + +``` + +### Tasks + +Tasks service + +```python +# Creates a new task synchronously. +sdk.tasks.create(title: str, data: Optional[Dict[str, Any]]=None, app_name: Optional[str]=None, app_key: Optional[str]=None, app_folder_path: Optional[str]=None, app_folder_key: Optional[str]=None, assignee: Optional[str]=None) -> uipath.platform.action_center.tasks.Task + +# Creates a new action asynchronously. +sdk.tasks.create_async(title: str, data: Optional[Dict[str, Any]]=None, app_name: Optional[str]=None, app_key: Optional[str]=None, app_folder_path: Optional[str]=None, app_folder_key: Optional[str]=None, assignee: Optional[str]=None) -> uipath.platform.action_center.tasks.Task + +# Retrieves a task by its key synchronously. +sdk.tasks.retrieve(action_key: str, app_folder_path: str="", app_folder_key: str="", app_name: str | None=None) -> uipath.platform.action_center.tasks.Task + +# Retrieves a task by its key asynchronously. +sdk.tasks.retrieve_async(action_key: str, app_folder_path: str="", app_folder_key: str="", app_name: str | None=None) -> uipath.platform.action_center.tasks.Task + +``` + diff --git a/samples/mcp-refactoring-assistant/.env.example b/samples/mcp-refactoring-assistant/.env.example new file mode 100644 index 00000000..6807f978 --- /dev/null +++ b/samples/mcp-refactoring-assistant/.env.example @@ -0,0 +1 @@ +ANTHROPIC_API_KEY=*** diff --git a/samples/mcp-refactoring-assistant/AGENTS.md b/samples/mcp-refactoring-assistant/AGENTS.md new file mode 100644 index 00000000..c1f02680 --- /dev/null +++ b/samples/mcp-refactoring-assistant/AGENTS.md @@ -0,0 +1,21 @@ +# Agent Code Patterns Reference + +This document provides practical code patterns for building UiPath coded agents using LangGraph and the UiPath Python SDK. + +--- + +## Documentation Structure + +This documentation is split into multiple files for efficient context loading. Load only the files you need: + +1. **@.agent/REQUIRED_STRUCTURE.md** - Agent structure patterns and templates + - **When to load:** Creating a new agent or understanding required patterns + - **Contains:** Required Pydantic models (Input, State, Output), LLM initialization patterns, standard agent template + +2. **@.agent/SDK_REFERENCE.md** - Complete SDK API reference + - **When to load:** Calling UiPath SDK methods, working with services (actions, assets, jobs, etc.) + - **Contains:** All SDK services and methods with full signatures and type annotations + +3. **@.agent/CLI_REFERENCE.md** - CLI commands documentation + - **When to load:** Working with `uipath init`, `uipath run`, or `uipath eval` commands + - **Contains:** Command syntax, options, usage examples, and workflows diff --git a/samples/mcp-refactoring-assistant/CLAUDE.md b/samples/mcp-refactoring-assistant/CLAUDE.md new file mode 100644 index 00000000..eef4bd20 --- /dev/null +++ b/samples/mcp-refactoring-assistant/CLAUDE.md @@ -0,0 +1 @@ +@AGENTS.md \ No newline at end of file diff --git a/samples/mcp-refactoring-assistant/README.md b/samples/mcp-refactoring-assistant/README.md new file mode 100644 index 00000000..138df716 --- /dev/null +++ b/samples/mcp-refactoring-assistant/README.md @@ -0,0 +1,64 @@ +# Code Refactoring Assistant with MCP + +A LangGraph agent that demonstrates how to use **MCP (Model Context Protocol)** for code analysis and refactoring guidance. + +## What It Does + +This agent analyzes Python code, detects issues (complexity, code smells, deep nesting), and provides tailored refactoring guidance using MCP prompts. + +Shows how to use `client.get_prompt()` to fetch prompt templates dynamically from an MCP server. + + +## MCP Components + +### Server (`server.py`) +Exposes: +- **Tools**: Code analysis functions + - `analyze_code_complexity` - Detects complexity metrics + - `detect_code_smells` - Finds common issues + - `get_refactoring_guide` - Returns which prompt to use + +- **Prompts**: Refactoring templates + - `extract_method_prompt` - For long functions + - `simplify_conditional_prompt` - For nested conditions + - `remove_duplication_prompt` - For duplicate code + - `improve_naming_prompt` - For poor variable names + +### Client (`graph.py`) +- Agent uses tools to analyze code +- Agent determines which refactoring approach to use +- **`client.get_prompt()`** fetches the appropriate template from MCP server +- LLM generates final refactoring guidance + +## How to Run + +1. **Install dependencies**: +```bash +uv sync +``` + +2. **Initialize** (if needed): +```bash +uipath init +``` + +3. **Run the agent**: +```bash +uipath run agent --input-file input.json +``` + +## Example Input + +```json +{ + "code": "def process_data(x, y, z):\n if x:\n if y:\n if z:\n return x + y + z" +} +``` + +## Example Output + +The agent will: +1. Detect the issue (deep nesting) +2. Fetch the `simplify_conditional_prompt` via MCP +3. Generate refactoring guidance using guard clauses + diff --git a/samples/mcp-refactoring-assistant/agent.mermaid b/samples/mcp-refactoring-assistant/agent.mermaid new file mode 100644 index 00000000..286693ba --- /dev/null +++ b/samples/mcp-refactoring-assistant/agent.mermaid @@ -0,0 +1,8 @@ +flowchart TB + __start__(__start__) + agent(agent) + prompt(prompt) + __end__(__end__) + __start__ --> agent + agent --> prompt + prompt --> __end__ diff --git a/samples/mcp-refactoring-assistant/bindings.json b/samples/mcp-refactoring-assistant/bindings.json new file mode 100644 index 00000000..5dd5a0fd --- /dev/null +++ b/samples/mcp-refactoring-assistant/bindings.json @@ -0,0 +1,4 @@ +{ + "version": "2.0", + "resources": [] +} \ No newline at end of file diff --git a/samples/mcp-refactoring-assistant/entry-points.json b/samples/mcp-refactoring-assistant/entry-points.json new file mode 100644 index 00000000..3569fa0d --- /dev/null +++ b/samples/mcp-refactoring-assistant/entry-points.json @@ -0,0 +1,83 @@ +{ + "$schema": "https://cloud.uipath.com/draft/2024-12/entry-point", + "$id": "entry-points.json", + "entryPoints": [ + { + "filePath": "agent", + "uniqueId": "426f3cb2-ac10-4969-840e-399932250e3a", + "type": "agent", + "input": { + "type": "object", + "properties": { + "code": { + "title": "Code", + "type": "string" + } + }, + "required": [ + "code" + ] + }, + "output": { + "type": "object", + "properties": { + "result": { + "default": null, + "title": "Result", + "type": "string" + } + }, + "required": [] + }, + "graph": { + "nodes": [ + { + "id": "__start__", + "name": "__start__", + "type": "__start__", + "subgraph": null, + "metadata": {} + }, + { + "id": "agent", + "name": "agent", + "type": "node", + "subgraph": null, + "metadata": {} + }, + { + "id": "prompt", + "name": "prompt", + "type": "node", + "subgraph": null, + "metadata": {} + }, + { + "id": "__end__", + "name": "__end__", + "type": "__end__", + "subgraph": null, + "metadata": {} + } + ], + "edges": [ + { + "source": "__start__", + "target": "agent", + "label": null + }, + { + "source": "agent", + "target": "prompt", + "label": null + }, + { + "source": "prompt", + "target": "__end__", + "label": null + } + ] + } + } + ] +} \ No newline at end of file diff --git a/samples/mcp-refactoring-assistant/graph.py b/samples/mcp-refactoring-assistant/graph.py new file mode 100644 index 00000000..75db80ec --- /dev/null +++ b/samples/mcp-refactoring-assistant/graph.py @@ -0,0 +1,181 @@ +"""LangGraph agent for Code Refactoring Assistant. +""" + +import json +import sys +from pathlib import Path +from typing import Any, Optional + +from langchain.agents import create_agent +from langchain_core.messages import HumanMessage +from langchain_mcp_adapters.client import MultiServerMCPClient +from langgraph.graph import END, START, MessagesState, StateGraph +from pydantic import BaseModel +from uipath_langchain.chat import UiPathChat + +model = UiPathChat(model="gpt-4o-2024-08-06", temperature=0.7) + +server_path = Path(__file__).parent / "server.py" + +_client = None +_react_agent = None + + +async def _get_client(): + """Get or initialize the MCP client.""" + global _client + if _client is None: + _client = MultiServerMCPClient({ + "code-refactoring": { + "command": sys.executable, + "args": [str(server_path)], + "transport": "stdio", + }, + }) + return _client + + +async def _get_agent(): + """Get or initialize the ReAct agent with MCP tools.""" + global _react_agent + if _react_agent is None: + client = await _get_client() + tools = await client.get_tools() + _react_agent = create_agent(model, tools=tools) + return _react_agent + + +def _try_parse_json(value: Any) -> Optional[dict]: + """Robustly parse JSON from various formats (dict, str, list).""" + if value is None: + return None + + if isinstance(value, dict): + if 'text' in value: + return _try_parse_json(value['text']) + if 'prompt_name' in value or 'error' in value: + return value + return None + + if isinstance(value, str): + value = value.strip() + if not value: + return None + try: + parsed = json.loads(value) + return parsed if isinstance(parsed, dict) else None + except json.JSONDecodeError: + return None + + if isinstance(value, list): + for item in value: + parsed = _try_parse_json(item) + if parsed: + return parsed + + return None + + +class Input(BaseModel): + """Input schema: the code to analyze.""" + code: str + + +class Output(BaseModel): + """Output schema: just the refactoring result.""" + result: str + + +class State(BaseModel): + """Internal state for the graph (not exposed to user).""" + code: str + prompt_name: str = "" + prompt_arguments: dict = {} + + +async def agent_node(state: State) -> State: + """Agent analyzes code and determines which prompt to use.""" + react_agent = await _get_agent() + + initial_msg = HumanMessage( + content=f"""You are a refactoring assistant. + +1) Analyze this code using analyze_code_complexity +2) Detect issues using detect_code_smells +3) Call get_refactoring_guide with: + - issue_type: the main issue detected + - code: the code to refactor + - complexity_info: results from step 1 + - smells_info: results from step 2 + +The get_refactoring_guide tool will return {{\"prompt_name\": \"...\", \"arguments\": {{...}}}} ready for the next step. + +CODE: +{state.code} +""" + ) + + messages_state = MessagesState(messages=[initial_msg]) + result = await react_agent.ainvoke(messages_state) + + prompt_name = "" + prompt_args: dict = {} + + for msg in result.get("messages", []): + if hasattr(msg, 'type') and msg.type == 'tool': + tool_name = getattr(msg, 'name', None) or getattr(msg, 'tool', None) + if tool_name == 'get_refactoring_guide': + data = _try_parse_json(getattr(msg, 'content', None)) + if data and 'prompt_name' in data: + prompt_name = data['prompt_name'] + prompt_args = data.get('arguments', {}) or {} + break + + if not prompt_name: + return State( + code=state.code, + prompt_name="", + prompt_arguments={}, + ) + + prompt_args.setdefault('code', state.code) + + return State( + code=state.code, + prompt_name=prompt_name, + prompt_arguments=prompt_args, + ) + + +async def prompt_node(state: State) -> Output: + """Fetch prompt using client.get_prompt() and generate final response.""" + if not state.prompt_name: + return Output( + result="Unable to determine appropriate refactoring prompt. " + "Please ensure the agent analyzed the code and called get_refactoring_guide." + ) + + client = await _get_client() + + prompt_messages = await client.get_prompt( + "code-refactoring", + state.prompt_name, + arguments=state.prompt_arguments + ) + + final_response = await model.ainvoke(prompt_messages) + + return Output(result=final_response.content) + + +# Build and compile graph at module level +builder = StateGraph(State, input=Input, output=Output) +builder.add_node("agent", agent_node) +builder.add_node("prompt", prompt_node) + +builder.add_edge(START, "agent") +builder.add_edge("agent", "prompt") +builder.add_edge("prompt", END) + +graph = builder.compile() + diff --git a/samples/mcp-refactoring-assistant/input.json b/samples/mcp-refactoring-assistant/input.json new file mode 100644 index 00000000..3ec78d93 --- /dev/null +++ b/samples/mcp-refactoring-assistant/input.json @@ -0,0 +1,3 @@ +{ + "code": "def process_data(x, y, z):\n if x:\n if y:\n if z:\n return x + y + z" +} \ No newline at end of file diff --git a/samples/mcp-refactoring-assistant/langgraph.json b/samples/mcp-refactoring-assistant/langgraph.json new file mode 100644 index 00000000..c465a881 --- /dev/null +++ b/samples/mcp-refactoring-assistant/langgraph.json @@ -0,0 +1,7 @@ +{ + "dependencies": ["."], + "graphs": { + "agent": "./graph.py:graph" + }, + "env": ".env" +} diff --git a/samples/mcp-refactoring-assistant/prompts/__init__.py b/samples/mcp-refactoring-assistant/prompts/__init__.py new file mode 100644 index 00000000..1973b031 --- /dev/null +++ b/samples/mcp-refactoring-assistant/prompts/__init__.py @@ -0,0 +1,13 @@ +"""Refactoring prompts for Python code improvement.""" + +from .extract_method import extract_method +from .simplify_conditional import simplify_conditional +from .remove_duplication import remove_duplication +from .improve_naming import improve_naming + +__all__ = [ + "extract_method", + "simplify_conditional", + "remove_duplication", + "improve_naming", +] diff --git a/samples/mcp-refactoring-assistant/prompts/extract_method.py b/samples/mcp-refactoring-assistant/prompts/extract_method.py new file mode 100644 index 00000000..3d23de1c --- /dev/null +++ b/samples/mcp-refactoring-assistant/prompts/extract_method.py @@ -0,0 +1,123 @@ +"""Extract Method refactoring prompt.""" + +from typing import List +from mcp.server.fastmcp.prompts.base import Message, UserMessage + + +def extract_method(code: str, target_lines: str = "auto") -> List[Message]: + """Guide for extracting a method from complex code. + + Args: + code: Full Python function/method code to refactor + target_lines: Lines to extract (e.g., "10-25" or "auto" for suggestions) + + Returns: + Structured guidance messages for Extract Method refactoring + """ + + guidance = f"""# Extract Method Refactoring Guide + +## Overview +The Extract Method refactoring helps reduce function complexity by moving a coherent block of code into its own function with a descriptive name. + +## Your Code +```python +{code} +``` + +## Target Lines +{target_lines} + +## Step-by-Step Process + +### 1. Identify the Extraction Boundary +- Look for a block of code that performs a single, clear task +- The block should be relatively independent +- Ideal candidates: complex calculations, data transformations, validation logic + +### 2. Determine Parameters +Identify variables used in the target code that are: +- **Defined outside** the block → These become parameters +- **Modified and used after** → These need to be returned + +Example: +```python +# Before: Variables a, b are from outside +result = a + b +result = result * 2 +# If 'result' is used later, it must be returned +``` + +### 3. Determine Return Value +- If one variable is modified and used afterward → return it +- If multiple variables → return a tuple or dict +- If nothing is used afterward → no return needed + +### 4. Choose a Descriptive Name +Follow PEP 8 conventions: +- Use `snake_case` for function names +- Name should describe WHAT the function does, not HOW +- Be specific: `calculate_total_price()` not `do_calculation()` + +Good examples: +- `validate_user_input()` +- `format_address_string()` +- `calculate_discount_amount()` + +### 5. Extract the Method +```python +# Before: Long function with mixed responsibilities +def process_order(order_data): + # ... 20 lines of code ... + + # Calculate total (this can be extracted) + subtotal = sum(item['price'] * item['qty'] for item in order_data['items']) + tax = subtotal * 0.08 + shipping = 10 if subtotal < 50 else 0 + total = subtotal + tax + shipping + + # ... 20 more lines ... + return result + +# After: Extracted calculation logic +def calculate_order_total(items): + subtotal = sum(item['price'] * item['qty'] for item in items) + tax = subtotal * 0.08 + shipping = 10 if subtotal < 50 else 0 + return subtotal + tax + shipping + +def process_order(order_data): + # ... 20 lines ... + total = calculate_order_total(order_data['items']) + # ... 20 more lines ... + return result +``` + +## When to Use Extract Method +✅ Function is longer than 30-40 lines +✅ Code block has a clear, single purpose +✅ Code block could be reused elsewhere +✅ Complex logic that deserves a descriptive name +✅ Nested loops or deep conditionals + +## When NOT to Use +❌ Block is only 2-3 lines and already clear +❌ Block is tightly coupled with surrounding code +❌ Would need to pass >5 parameters +❌ Name would be as vague as the current code + +## Testing After Refactoring +1. Run existing tests to ensure behavior unchanged +2. Test edge cases for the new function +3. Verify the extracted function can work independently + +## Next Steps +1. Identify the code block to extract +2. List variables that need to be parameters +3. Determine what (if anything) to return +4. Choose a clear, descriptive name +5. Create the new function +6. Replace the original code with a function call +7. Test thoroughly""" + + return [UserMessage(content=guidance)] diff --git a/samples/mcp-refactoring-assistant/prompts/improve_naming.py b/samples/mcp-refactoring-assistant/prompts/improve_naming.py new file mode 100644 index 00000000..44eb6a97 --- /dev/null +++ b/samples/mcp-refactoring-assistant/prompts/improve_naming.py @@ -0,0 +1,276 @@ +"""Improve Naming refactoring prompt.""" + +from typing import List +from mcp.server.fastmcp.prompts.base import Message, UserMessage + + +def improve_naming(code: str, symbols: str, context: str = "") -> List[Message]: + """Guide for improving variable and function names. + + Args: + code: Python code with poor names + symbols: Symbols to rename (comma-separated) + context: Optional description of what the code does + + Returns: + Structured guidance for improving names + """ + symbols_list = [s.strip() for s in symbols.split(',') if s.strip()] + + guidance = rf"""# Improve Naming Guide + +## Overview +Good names are the most important aspect of readable code. Names should reveal intent without requiring comments. + +## Your Code +```python +{code} +``` + +## Code Context +{context if context else "General naming improvements"} + +## Symbols to Rename +{', '.join(f'`{s}`' for s in symbols_list)} + +## Python Naming Conventions (PEP 8) + +### Functions and Variables: `snake_case` +```python +# Good +user_count = 0 +def calculate_total_price(): + ... + +# Bad +userCount = 0 # camelCase is for JavaScript +def CalculateTotalPrice(): # PascalCase is for classes +``` + +### Classes: `PascalCase` +```python +# Good +class UserAccount: + ... + +# Bad +class user_account: # Should be PascalCase +class User_Account: # No underscores in PascalCase +``` + +### Constants: `UPPER_SNAKE_CASE` +```python +# Good +MAX_CONNECTIONS = 100 +DEFAULT_TIMEOUT = 30 + +# Bad +max_connections = 100 # Should be uppercase for constants +``` + +### Private/Internal: Leading underscore +```python +class MyClass: + def _internal_helper(self): # Internal method + ... + + def public_method(self): # Public method + ... +``` + +## Naming Guidelines + +### 1. Be Descriptive and Specific +```python +# Bad - too vague +def process(d): + result = calc(d) + return result + +# Good - clear intent +def calculate_order_total(order_data): + total_price = sum_item_prices(order_data) + return total_price +``` + +### 2. Avoid Abbreviations (except common ones) +```python +# Bad +usr_cnt = 0 +tmp_val = x +btn_clk = func() + +# Good +user_count = 0 +temporary_value = x +button_clicked = func() + +# OK (commonly understood) +html_content = "" +url_path = "" +id = 123 +max_value = 100 +``` + +### 3. Use Verbs for Functions, Nouns for Variables +```python +# Good functions (verbs) +def calculate_discount(): + ... +def send_email(): + ... +def validate_input(): + ... + +# Good variables (nouns) +user_name = "Alice" +total_amount = 100 +error_message = "Invalid input" +``` + +### 4. Boolean Variables Should Ask a Question +```python +# Good +is_valid = True +has_permission = False +can_edit = True +should_retry = False + +# Bad +valid = True # Is it valid or are we validating? +permission = False # What about permission? +``` + +### 5. Avoid Single Letter Names (except loops) +```python +# Bad +def f(x, y, z): + a = x + y + b = a * z + return b + +# Good (loop counters) +for i in range(10): + for j in range(5): + matrix[i][j] = 0 + +# Good (descriptive) +def calculate_final_price(base_price, tax_rate, quantity): + subtotal = base_price + (base_price * tax_rate) + final_price = subtotal * quantity + return final_price +``` + +### 6. Collections Should Be Plural +```python +# Good +users = [user1, user2, user3] +email_addresses = [] +error_messages = {{}} + +# Bad +user = [user1, user2, user3] # Misleading +email_address = [] # Singular for collection +``` + +## Suggested Renamings + +Here are some suggestions based on common patterns: + +""" + + # Generate suggestions for common bad names + suggestions = { + 'x': 'Consider: value, count, index, total (depending on usage)', + 'y': 'Consider: result, amount, price, quantity', + 'tmp': 'Consider: temporary_value, intermediate_result, buffer', + 'data': 'Consider: user_data, order_data, response_data (be specific)', + 'func': 'Consider: callback, handler, processor (what does it do?)', + 'func1': 'Consider: validate_input, process_order (describe action)', + 'val': 'Consider: value, amount, price (full word)', + 'arr': 'Consider: items, users, values (plural noun)', + 'obj': 'Consider: user, order, product (specific type)', + 'res': 'Consider: result, response, resource (full word)', + 'str': 'Consider: message, name, content (avoid type names)', + 'num': 'Consider: count, total, amount (be specific)', + 'i': 'OK for loop counter, otherwise: index, item_id, position', + 'j': 'OK for nested loop, otherwise: consider better name', + 'k': 'OK for third loop, otherwise: use descriptive name', + } + + for symbol in symbols_list: + lower_symbol = symbol.lower() + if lower_symbol in suggestions: + guidance += f"\n**`{symbol}`** → {suggestions[lower_symbol]}" + else: + guidance += f"\n**`{symbol}`** → Consider a name that describes its purpose in the context of {context if context else 'your code'}" + + guidance += r""" + +## Refactoring Process + +### 1. Understand the Purpose +- What does this variable/function actually do? +- What value does it hold? +- What action does it perform? + +### 2. Choose a Clear Name +- Use full words, not abbreviations +- Be specific about what it represents +- Follow PEP 8 conventions + +### 3. Rename Safely +```python +# Use find-and-replace carefully +# 1. Search for exact matches (whole word) +# 2. Review each occurrence +# 3. Update all usages consistently +``` + +### 4. Update Related Code +- Update comments if any +- Update docstrings +- Update tests + +### 5. Run Tests +- Ensure no regressions +- Verify all references updated + +## Examples of Good Naming + +```python +# E-commerce context +def calculate_order_total(items, tax_rate, discount_code=None): + subtotal = sum(item.price * item.quantity for item in items) + discount_amount = apply_discount(subtotal, discount_code) + tax_amount = (subtotal - discount_amount) * tax_rate + final_total = subtotal - discount_amount + tax_amount + return final_total +``` + +```python +# User validation +def is_valid_email(email_address): + email_pattern = r'^[\w\.-]+@[\w\.-]+\.\w+$' + return re.match(email_pattern, email_address) is not None + +def can_user_edit_post(user, post): + is_post_author = user.id == post.author_id + has_admin_rights = user.role == 'admin' + return is_post_author or has_admin_rights +``` + +## Remember +- Names should make code self-documenting +- If you need a comment to explain a variable, the name is wrong +- Good names are worth the extra characters +- Consistency matters across your codebase + +## Next Steps +1. Understand what each symbol represents +2. Choose descriptive, PEP 8 compliant names +3. Use find-and-replace to rename consistently +4. Update docstrings and comments +5. Run tests to ensure nothing broke""" + + return [UserMessage(content=guidance)] diff --git a/samples/mcp-refactoring-assistant/prompts/remove_duplication.py b/samples/mcp-refactoring-assistant/prompts/remove_duplication.py new file mode 100644 index 00000000..c44ced21 --- /dev/null +++ b/samples/mcp-refactoring-assistant/prompts/remove_duplication.py @@ -0,0 +1,207 @@ +"""Remove Duplication refactoring prompt.""" + +from typing import List +from mcp.server.fastmcp.prompts.base import Message, UserMessage + + +def remove_duplication(code: str, duplicate_blocks: str) -> List[Message]: + """Guide for removing code duplication. + + Args: + code: Python code with duplication + duplicate_blocks: Description of what's duplicated + + Returns: + Structured guidance for removing duplication + """ + + guidance = rf"""# Remove Code Duplication Guide + +## Overview +Code duplication is a major source of maintenance problems. When you need to fix a bug or add a feature, you must remember to update all copies. + +## Your Code +```python +{code} +``` + +## Duplicated Code Detected +{duplicate_blocks} + +## Common Duplication Patterns and Solutions + +### 1. Exact Duplication → Extract Function + +**Before:** +```python +# In function A +user_data = request.json +if 'email' not in user_data: + return {{'error': 'Email required'}}, 400 +if not re.match(r'^[\w\.-]+@[\w\.-]+\.\w+$', user_data['email']): + return {{'error': 'Invalid email'}}, 400 + +# In function B (exact same code) +user_data = request.json +if 'email' not in user_data: + return {{'error': 'Email required'}}, 400 +if not re.match(r'^[\w\.-]+@[\w\.-]+\.\w+$', user_data['email']): + return {{'error': 'Invalid email'}}, 400 +``` + +**After:** +```python +def validate_email_input(user_data): + if 'email' not in user_data: + return {{'error': 'Email required'}}, 400 + if not re.match(r'^[\w\.-]+@[\w\.-]+\.\w+$', user_data['email']): + return {{'error': 'Invalid email'}}, 400 + return None + +# In both functions +user_data = request.json +error = validate_email_input(user_data) +if error: + return error +``` + +### 2. Similar Code with Variations → Parameterize + +**Before:** +```python +def calculate_employee_bonus(employee): + base_salary = employee.salary + bonus = base_salary * 0.1 + return bonus + +def calculate_manager_bonus(manager): + base_salary = manager.salary + bonus = base_salary * 0.15 + return bonus + +def calculate_executive_bonus(executive): + base_salary = executive.salary + bonus = base_salary * 0.25 + return bonus +``` + +**After:** +```python +def calculate_bonus(person, bonus_rate): + return person.salary * bonus_rate + +# Usage +employee_bonus = calculate_bonus(employee, 0.1) +manager_bonus = calculate_bonus(manager, 0.15) +executive_bonus = calculate_bonus(executive, 0.25) + +# Even better: use a config +BONUS_RATES = {{ + 'employee': 0.1, + 'manager': 0.15, + 'executive': 0.25, +}} + +def calculate_bonus(person): + rate = BONUS_RATES[person.role] + return person.salary * rate +``` + +### 3. Repeated Patterns → Use Data Structures + +**Before:** +```python +if user_type == 'admin': + permissions = ['read', 'write', 'delete', 'manage_users'] +elif user_type == 'editor': + permissions = ['read', 'write'] +elif user_type == 'viewer': + permissions = ['read'] +elif user_type == 'guest': + permissions = [] +``` + +**After:** +```python +USER_PERMISSIONS = {{ + 'admin': ['read', 'write', 'delete', 'manage_users'], + 'editor': ['read', 'write'], + 'viewer': ['read'], + 'guest': [], +}} + +permissions = USER_PERMISSIONS.get(user_type, []) +``` + +### 4. Duplicated Setup/Teardown → Use Decorators or Context Managers + +**Before:** +```python +def process_file_a(): + file = open('data.txt') + try: + # Process file A + ... + finally: + file.close() + +def process_file_b(): + file = open('data.txt') + try: + # Process file B + ... + finally: + file.close() +``` + +**After:** +```python +def process_file_a(): + with open('data.txt') as file: + # Process file A + ... + +def process_file_b(): + with open('data.txt') as file: + # Process file B + ... + +# Or create a custom decorator for more complex setup +``` + +## Steps to Remove Duplication + +1. **Identify the duplication precisely** + - What's exactly the same? + - What's different (parameters)? + +2. **Extract the common code** + - Create a new function with a descriptive name + - Pass differences as parameters + +3. **Replace all duplicates** + - Replace each duplicate with a call to the new function + - Ensure parameters are passed correctly + +4. **Test thoroughly** + - Test each caller of the new function + - Ensure behavior is identical to before + +5. **Consider further abstraction** + - Can you use data structures instead of code? + - Would a class or decorator be clearer? + +## Warning Signs +- "I need to change this in multiple places" +- Copy-pasting code between functions +- Similar function/variable names (process_a, process_b, process_c) +- Long functions with repeated patterns + +## Next Steps +1. Identify the exact duplicated code +2. Determine what varies between copies +3. Extract common code into a function with parameters +4. Replace all duplicates with calls to new function +5. Run tests to verify behavior unchanged""" + + return [UserMessage(content=guidance)] diff --git a/samples/mcp-refactoring-assistant/prompts/simplify_conditional.py b/samples/mcp-refactoring-assistant/prompts/simplify_conditional.py new file mode 100644 index 00000000..c10ce052 --- /dev/null +++ b/samples/mcp-refactoring-assistant/prompts/simplify_conditional.py @@ -0,0 +1,220 @@ +"""Simplify Conditional refactoring prompt.""" + +from typing import List +from mcp.server.fastmcp.prompts.base import Message, UserMessage + + +def simplify_conditional(code: str, pattern: str = "guard_clause") -> List[Message]: + """Guide for simplifying complex conditional logic. + + Args: + code: Python code with complex conditionals + pattern: Refactoring pattern (guard_clause, early_return, extract_condition) + + Returns: + Structured guidance for simplifying conditionals + """ + pattern_guides = { + "guard_clause": """ +## Guard Clause Pattern + +Replace nested if statements with early returns that handle special cases first. + +### Before (nested conditionals): +```python +def process_payment(amount, user): + if user is not None: + if user.is_active: + if amount > 0: + if user.balance >= amount: + user.balance -= amount + return True + else: + return False + else: + return False + else: + return False + else: + return False +``` + +### After (guard clauses): +```python +def process_payment(amount, user): + # Handle invalid cases first + if user is None: + return False + if not user.is_active: + return False + if amount <= 0: + return False + if user.balance < amount: + return False + + # Happy path is now clear and un-nested + user.balance -= amount + return True +``` + +### Benefits: +- Reduces nesting depth +- Makes error conditions explicit +- Happy path is clear and readable +- Each condition is independent and easy to test""", + + "early_return": """ +## Early Return Pattern + +Exit the function as soon as you know the result, avoiding unnecessary processing. + +### Before: +```python +def calculate_discount(customer, order_total): + discount = 0 + if customer.is_premium: + if order_total > 100: + discount = order_total * 0.2 + else: + discount = order_total * 0.1 + else: + if order_total > 200: + discount = order_total * 0.05 + return discount +``` + +### After: +```python +def calculate_discount(customer, order_total): + if customer.is_premium: + if order_total > 100: + return order_total * 0.2 + return order_total * 0.1 + + if order_total > 200: + return order_total * 0.05 + + return 0 # No discount +``` + +### Benefits: +- Reduces variable assignments +- Makes control flow clearer +- Each path is independent +- Less cognitive load""", + + "extract_condition": """ +## Extract Condition Pattern + +Move complex boolean expressions into well-named functions. + +### Before: +```python +def can_approve_loan(applicant, amount): + if (applicant.credit_score > 700 and + applicant.income * 0.3 > amount / 12 and + applicant.employment_years >= 2 and + applicant.debt_to_income < 0.4): + return True + return False +``` + +### After: +```python +def has_good_credit(applicant): + return applicant.credit_score > 700 + +def can_afford_payment(applicant, monthly_payment): + return applicant.income * 0.3 > monthly_payment + +def has_stable_employment(applicant): + return applicant.employment_years >= 2 + +def has_manageable_debt(applicant): + return applicant.debt_to_income < 0.4 + +def can_approve_loan(applicant, amount): + monthly_payment = amount / 12 + return (has_good_credit(applicant) and + can_afford_payment(applicant, monthly_payment) and + has_stable_employment(applicant) and + has_manageable_debt(applicant)) +``` + +### Benefits: +- Complex conditions become self-documenting +- Each condition can be tested independently +- Easy to modify or add new conditions +- Improves readability dramatically""" + } + + selected_guide = pattern_guides.get(pattern, pattern_guides["guard_clause"]) + + guidance = f"""# Simplifying Conditional Logic + +## Your Code +```python +{code[:500]}{'...' if len(code) > 500 else ''} +``` + +## Selected Pattern: {pattern.replace('_', ' ').title()} + +{selected_guide} + +## General Tips for Simplifying Conditionals + +### 1. Avoid Deep Nesting +- Maximum 2-3 levels of nesting +- Use guard clauses for early exits +- Extract complex conditions into functions + +### 2. Prefer Positive Conditions +```python +# Less clear +if not user.is_inactive: + ... + +# More clear +if user.is_active: + ... +``` + +### 3. Use Lookup Tables for Long If/Elif Chains +```python +# Before +if action == 'create': + return handle_create() +elif action == 'update': + return handle_update() +elif action == 'delete': + return handle_delete() + +# After +handlers = {{ + 'create': handle_create, + 'update': handle_update, + 'delete': handle_delete, +}} +return handlers[action]() +``` + +### 4. Consider Polymorphism for Type Checking +```python +# Before +if isinstance(shape, Circle): + return 3.14 * shape.radius ** 2 +elif isinstance(shape, Rectangle): + return shape.width * shape.height + +# After (each class has area() method) +return shape.area() +``` + +## Next Steps +1. Identify the most deeply nested or complex conditional +2. Choose the appropriate pattern ({', '.join(pattern_guides.keys())}) +3. Refactor step by step +4. Test after each change +5. Verify the logic remains the same""" + + return [UserMessage(content=guidance)] diff --git a/samples/mcp-refactoring-assistant/pyproject.toml b/samples/mcp-refactoring-assistant/pyproject.toml new file mode 100644 index 00000000..35458ccc --- /dev/null +++ b/samples/mcp-refactoring-assistant/pyproject.toml @@ -0,0 +1,24 @@ +[project] +name = "code-refactoring-assistant" +version = "0.0.8" +description = "Code Refactoring Assistant with MCP Server and LangGraph Agent" +authors = [{ name = "Giulia Imbrea", email = "giulia.imbrea@uipath.com" }] +dependencies = [ + "mcp>=1.15.0", + "langchain-core>=1.1.0", + "langchain>=1.1.0", + "langchain-anthropic>=1.2.0", + "langchain-openai>=1.1.0", + "langgraph>=1.0.4", + "uipath-langchain>=0.1.23", + "langchain-mcp-adapters>=0.2.0", + "uipath>=2.2.27,<2.3.0", + "python-dotenv>=1.0.0", +] +requires-python = ">=3.11" + +[tool.setuptools] +py-modules = [] + +[dependency-groups] +dev = ["uipath-dev>=0.0.5"] diff --git a/samples/mcp-refactoring-assistant/server.py b/samples/mcp-refactoring-assistant/server.py new file mode 100644 index 00000000..de115088 --- /dev/null +++ b/samples/mcp-refactoring-assistant/server.py @@ -0,0 +1,124 @@ +from typing import Any, Dict, List + +from mcp.server.fastmcp import FastMCP +from mcp.server.fastmcp.prompts.base import Message +from prompts import (extract_method, improve_naming, remove_duplication, + simplify_conditional) +from tools import code_analysis, refactoring_guide + +mcp = FastMCP("code-refactoring-assistant") + + +# Register Code Analysis Tools +@mcp.tool() +def analyze_code_complexity(code: str) -> Dict[str, Any]: + """Analyze Python code complexity using heuristics. + + Args: + code: Python code to analyze + + Returns: + Dictionary with complexity metrics and detected issues + """ + return code_analysis.analyze_code_complexity(code) + + +@mcp.tool() +def detect_code_smells(code: str) -> Dict[str, Any]: + """Detect common code smells in Python code. + + Args: + code: Python code to analyze + + Returns: + Dictionary with detected code smells and their locations + """ + return code_analysis.detect_code_smells(code) + + +@mcp.tool() +def get_refactoring_guide( + issue_type: str, + code: str = "", + complexity_info: Dict[str, Any] = None, + smells_info: Dict[str, Any] = None +) -> Dict[str, Any]: + """Get guidance on which refactoring prompt to use for a specific issue. + + Args: + issue_type: Type of code issue (e.g., "long_function", "deep_nesting", "poor_naming") + code: The code to refactor (required for constructing prompt arguments) + complexity_info: Optional complexity analysis results + smells_info: Optional code smells detection results + + Returns: + Dictionary with prompt_name and arguments dict ready for MCP client.get_prompt() + Format: {"prompt_name": "...", "arguments": {...}} + """ + return refactoring_guide.get_refactoring_guide( + issue_type=issue_type, + code=code, + complexity_info=complexity_info, + smells_info=smells_info + ) + + +# Register Refactoring Prompts +@mcp.prompt() +def extract_method_prompt(code: str, target_lines: str = "auto") -> List[Message]: + """Guide for extracting a method from complex code. + + Args: + code: Full Python function/method code to refactor + target_lines: Lines to extract (e.g., "10-25" or "auto" for suggestions) + + Returns: + Structured guidance messages for Extract Method refactoring + """ + return extract_method(code, target_lines) + + +@mcp.prompt() +def simplify_conditional_prompt(code: str, pattern: str = "guard_clause") -> List[Message]: + """Guide for simplifying complex conditional logic. + + Args: + code: Python code with complex conditionals + pattern: Refactoring pattern (guard_clause, early_return, extract_condition) + + Returns: + Structured guidance for simplifying conditionals + """ + return simplify_conditional(code, pattern) + + +@mcp.prompt() +def remove_duplication_prompt(code: str, duplicate_blocks: str) -> List[Message]: + """Guide for removing code duplication. + + Args: + code: Python code with duplication + duplicate_blocks: Description of what's duplicated + + Returns: + Structured guidance for removing duplication + """ + return remove_duplication(code, duplicate_blocks) + + +@mcp.prompt() +def improve_naming_prompt(code: str, symbols: str, context: str = "") -> List[Message]: + """Guide for improving variable and function names. + + Args: + code: Python code with poor names + symbols: Symbols to rename (comma-separated) + context: Optional description of what the code does + + Returns: + Structured guidance for improving names + """ + return improve_naming(code, symbols, context) + +if __name__ == "__main__": + mcp.run() diff --git a/samples/mcp-refactoring-assistant/tools/__init__.py b/samples/mcp-refactoring-assistant/tools/__init__.py new file mode 100644 index 00000000..df1c17f2 --- /dev/null +++ b/samples/mcp-refactoring-assistant/tools/__init__.py @@ -0,0 +1,10 @@ +"""Code analysis and refactoring tools.""" + +from .code_analysis import analyze_code_complexity, detect_code_smells +from .refactoring_guide import get_refactoring_guide + +__all__ = [ + "analyze_code_complexity", + "detect_code_smells", + "get_refactoring_guide", +] diff --git a/samples/mcp-refactoring-assistant/tools/code_analysis.py b/samples/mcp-refactoring-assistant/tools/code_analysis.py new file mode 100644 index 00000000..fc1e885f --- /dev/null +++ b/samples/mcp-refactoring-assistant/tools/code_analysis.py @@ -0,0 +1,181 @@ +"""Code analysis tools for detecting complexity and code smells.""" + +import re +from typing import Any, Dict + + +def analyze_code_complexity(code: str) -> Dict[str, Any]: + """Analyze Python code complexity using heuristics. + + Args: + code: Python code to analyze + + Returns: + Dictionary with complexity metrics and detected issues + """ + lines = code.split('\n') + line_count = len([line for line in lines if line.strip() and not line.strip().startswith('#')]) + + # Count complexity indicators + complexity_score = 0 + complexity_score += len(re.findall(r'\bif\b', code)) + complexity_score += len(re.findall(r'\belif\b', code)) + complexity_score += len(re.findall(r'\bfor\b', code)) + complexity_score += len(re.findall(r'\bwhile\b', code)) + complexity_score += len(re.findall(r'\btry\b', code)) + complexity_score += len(re.findall(r'\bexcept\b', code)) + complexity_score += len(re.findall(r'\bwith\b', code)) + complexity_score += len(re.findall(r'\band\b', code)) + complexity_score += len(re.findall(r'\bor\b', code)) + + # Count functions + function_count = len(re.findall(r'^\s*def\s+\w+', code, re.MULTILINE)) + + # Detect nesting depth + max_nesting = 0 + for line in lines: + if line.strip(): + # Count leading spaces divided by 4 (assuming 4-space indentation) + indent = (len(line) - len(line.lstrip())) // 4 + max_nesting = max(max_nesting, indent) + + # Detect issues + issues = [] + if line_count > 50: + issues.append("long_function") + if complexity_score > 10: + issues.append("high_complexity") + if max_nesting > 3: + issues.append("deep_nesting") + + # Count multiple returns + return_count = len(re.findall(r'^\s*return\b', code, re.MULTILINE)) + if return_count > 3: + issues.append("multiple_returns") + + return { + "line_count": line_count, + "complexity_score": complexity_score, + "function_count": function_count, + "max_nesting_depth": max_nesting, + "return_statements": return_count, + "issues": issues, + "summary": f"Complexity: {complexity_score}, Lines: {line_count}, Max nesting: {max_nesting}" + } + + +def detect_code_smells(code: str) -> Dict[str, Any]: + """Detect common code smells in Python code. + + Args: + code: Python code to analyze + + Returns: + Dictionary with detected code smells and their locations + """ + lines = code.split('\n') + smells = [] + + # Check for long functions + function_starts = [] + for i, line in enumerate(lines, 1): + if re.match(r'^\s*def\s+\w+', line): + function_starts.append(i) + + if len(function_starts) > 0: + for i, start in enumerate(function_starts): + end = function_starts[i + 1] if i + 1 < len(function_starts) else len(lines) + length = end - start + if length > 50: + smells.append({ + "type": "long_function", + "line": start, + "severity": "high", + "description": f"Function starting at line {start} is {length} lines long (>50)" + }) + + # Check for deep nesting + for i, line in enumerate(lines, 1): + if line.strip(): + indent_level = (len(line) - len(line.lstrip())) // 4 + if indent_level > 3: + smells.append({ + "type": "deep_nesting", + "line": i, + "severity": "medium", + "description": f"Line {i} has nesting depth of {indent_level} (>3)" + }) + + # Check for long parameter lists + long_params = re.finditer(r'def\s+\w+\s*\((.*?)\):', code, re.DOTALL) + for match in long_params: + params = [p.strip() for p in match.group(1).split(',') if p.strip() and p.strip() != 'self'] + if len(params) > 4: + line_num = code[:match.start()].count('\n') + 1 + smells.append({ + "type": "long_parameter_list", + "line": line_num, + "severity": "medium", + "description": f"Function has {len(params)} parameters (>4)" + }) + + # Check for poor naming (single letter variables, excluding common loop vars) + poor_names = re.finditer(r'\b([a-z])\s*=', code) + for match in poor_names: + var_name = match.group(1) + if var_name not in ['i', 'j', 'k', 'x', 'y', 'z']: # Allow common math/loop vars + line_num = code[:match.start()].count('\n') + 1 + smells.append({ + "type": "poor_naming", + "line": line_num, + "severity": "low", + "description": f"Single letter variable '{var_name}' at line {line_num}" + }) + + # Check for missing docstrings + functions_without_docstring = [] + for i, line in enumerate(lines): + if re.match(r'^\s*def\s+\w+', line): + # Check if next non-empty line is a docstring + for j in range(i + 1, min(i + 3, len(lines))): + if lines[j].strip(): + if not lines[j].strip().startswith('"""') and not lines[j].strip().startswith("'''"): + functions_without_docstring.append(i + 1) + break + + for line_num in functions_without_docstring: + smells.append({ + "type": "missing_docstring", + "line": line_num, + "severity": "low", + "description": f"Function at line {line_num} missing docstring" + }) + + # Check for bare except clauses + bare_excepts = re.finditer(r'except\s*:', code) + for match in bare_excepts: + line_num = code[:match.start()].count('\n') + 1 + smells.append({ + "type": "bare_except", + "line": line_num, + "severity": "high", + "description": f"Bare except clause at line {line_num} catches all exceptions" + }) + + # Check for long if/elif chains + elif_chains = re.finditer(r'(if\b.*?:.*?)(\n\s*elif\b.*?:.*?){3,}', code, re.DOTALL) + for match in elif_chains: + line_num = code[:match.start()].count('\n') + 1 + chain_length = match.group(0).count('elif') + 1 + smells.append({ + "type": "long_conditional_chain", + "line": line_num, + "severity": "medium", + "description": f"Long if/elif chain with {chain_length} conditions at line {line_num}" + }) + + return { + "total_smells": len(smells), + "smells": smells, + "summary": f"Found {len(smells)} code smells" + } diff --git a/samples/mcp-refactoring-assistant/tools/refactoring_guide.py b/samples/mcp-refactoring-assistant/tools/refactoring_guide.py new file mode 100644 index 00000000..ce0611cb --- /dev/null +++ b/samples/mcp-refactoring-assistant/tools/refactoring_guide.py @@ -0,0 +1,147 @@ +"""Refactoring guide tool that maps code issues to refactoring prompts.""" + +from typing import Any, Dict, Optional + + +def get_refactoring_guide( + issue_type: str, + code: str = "", + complexity_info: Optional[Dict[str, Any]] = None, + smells_info: Optional[Dict[str, Any]] = None +) -> Dict[str, Any]: + """Get guidance on which refactoring prompt to use for a specific issue. + + + Args: + issue_type: Type of code issue (e.g., "long_function", "deep_nesting", "poor_naming") + code: The code to refactor (required for constructing prompt arguments) + complexity_info: Optional complexity analysis results + smells_info: Optional code smells detection results + + Returns: + Dictionary with prompt_name and arguments for te prompt. + Format: {"prompt_name": "...", "arguments": {...}} + """ + # Mapping from issue types to MCP prompts + issue_to_prompt = { + "long_function": { + "prompt_name": "extract_method_prompt", + "required_args": ["code", "target_lines"], + "description": "Extract a method to reduce function length and complexity", + "priority": "high", + "issue_explanation": "Long functions are hard to understand, test, and maintain" + }, + "high_complexity": { + "prompt_name": "extract_method_prompt", + "required_args": ["code", "target_lines"], + "description": "Break down complex logic into smaller functions", + "priority": "high", + "issue_explanation": "High complexity makes code difficult to reason about" + }, + "deep_nesting": { + "prompt_name": "simplify_conditional_prompt", + "required_args": ["code", "pattern"], + "description": "Simplify nested conditionals using guard clauses or early returns", + "priority": "high", + "issue_explanation": "Deep nesting reduces readability and increases cognitive load" + }, + "multiple_returns": { + "prompt_name": "simplify_conditional_prompt", + "required_args": ["code", "pattern"], + "description": "Organize return statements for better flow control", + "priority": "medium", + "issue_explanation": "Multiple returns can make control flow confusing" + }, + "poor_naming": { + "prompt_name": "improve_naming_prompt", + "required_args": ["code", "symbols", "context"], + "description": "Improve variable and function names following PEP 8", + "priority": "medium", + "issue_explanation": "Poor names reduce code clarity and maintainability" + }, + "long_parameter_list": { + "prompt_name": "extract_method_prompt", + "required_args": ["code", "target_lines"], + "description": "Consider using parameter objects or breaking down the function", + "priority": "medium", + "issue_explanation": "Long parameter lists are hard to understand and error-prone" + }, + "duplicate_code": { + "prompt_name": "remove_duplication_prompt", + "required_args": ["code", "duplicate_blocks"], + "description": "Extract duplicated code into reusable functions", + "priority": "high", + "issue_explanation": "Duplication leads to maintenance burden and inconsistency" + }, + "bare_except": { + "prompt_name": "simplify_conditional_prompt", + "required_args": ["code", "pattern"], + "description": "Specify exception types for better error handling", + "priority": "high", + "issue_explanation": "Bare except clauses can hide bugs and make debugging difficult" + }, + "long_conditional_chain": { + "prompt_name": "simplify_conditional_prompt", + "required_args": ["code", "pattern"], + "description": "Refactor long if/elif chains using dictionaries or polymorphism", + "priority": "medium", + "issue_explanation": "Long conditional chains are hard to maintain and extend" + } + } + + if issue_type not in issue_to_prompt: + return { + "error": f"Unknown issue type: {issue_type}", + "available_types": list(issue_to_prompt.keys()), + "suggestion": "Use analyze_code_complexity or detect_code_smells to identify issues" + } + + guide = issue_to_prompt[issue_type] + prompt_name = guide["prompt_name"] + + # Construct arguments dict based on prompt requirements + if prompt_name == "extract_method_prompt": + arguments = { + "code": code, + "target_lines": "auto" # Agent can override if needed + } + elif prompt_name == "simplify_conditional_prompt": + # Determine pattern based on issue type + pattern = "guard_clause" if issue_type == "deep_nesting" else "early_return" + arguments = { + "code": code, + "pattern": pattern + } + elif prompt_name == "remove_duplication_prompt": + # Extract duplicate info from smells_info if available + duplicate_blocks = "auto-detected duplicates" + if smells_info and "duplicate_code" in smells_info.get("smells", []): + duplicate_blocks = "See code analysis for duplicate blocks" + arguments = { + "code": code, + "duplicate_blocks": duplicate_blocks + } + elif prompt_name == "improve_naming_prompt": + # Extract poor naming symbols from smells_info + symbols = "x,y,z" # Default, agent can override + if smells_info: + poor_names = [s.get("symbol", "") for s in smells_info.get("smells", []) + if s.get("type") == "poor_naming"] + if poor_names: + symbols = ",".join(poor_names) + arguments = { + "code": code, + "symbols": symbols, + "context": "" # Optional, agent can provide + } + else: + # Fallback: just provide code + arguments = {"code": code} + + # Return structured response ready for client.get_prompt() + return { + "prompt_name": prompt_name, + "arguments": arguments, + "description": guide["description"], + "priority": guide["priority"] + } diff --git a/samples/mcp-refactoring-assistant/uipath.json b/samples/mcp-refactoring-assistant/uipath.json new file mode 100644 index 00000000..43c01b61 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