fixed snake_case migration

Author: miguelg719

MANIFEST.in

@@ -0,0 +1,6 @@
+include README.md
+include requirements.txt
+global-exclude *.pyc
+global-exclude __pycache__
+global-exclude .DS_Store
+global-exclude */node_modules/* 

examples/example.py

@@ -79,6 +79,7 @@ async def main():
 
     console.print("\n▶️ [highlight] Performing action:[/] search for openai")
     await page.act("search for openai")
+    await page.keyboard.press("Enter")
     console.print("✅ [success]Performing Action:[/] Action completed successfully")
 
     console.print("\n▶️ [highlight] Observing page[/] for news button")

stagehand/client.py

@@ -12,7 +12,7 @@
 
 from .config import StagehandConfig
 from .page import StagehandPage
-from .utils import default_log_handler
+from .utils import default_log_handler, convert_dict_keys_to_camel_case
 
 load_dotenv()
 
@@ -362,6 +362,9 @@ async def _execute(self, method: str, payload: Dict[str, Any]) -> Any:
         if hasattr(self, "model_client_options") and self.model_client_options and "modelClientOptions" not in modified_payload:
             modified_payload["modelClientOptions"] = self.model_client_options
 
+        # Convert snake_case keys to camelCase for the API
+        modified_payload = convert_dict_keys_to_camel_case(modified_payload)
+        
         client = self.httpx_client or httpx.AsyncClient(timeout=self.timeout_settings)
         self._log(f"\n==== EXECUTING {method.upper()} ====", level=3)
         self._log(

stagehand/page.py

@@ -85,14 +85,14 @@ async def act(self, options: Union[str, ActOptions, ObserveResult]) -> ActResult
         if isinstance(options, ObserveResult) and hasattr(options, "selector") and hasattr(options, "method"):
             # For ObserveResult, we directly pass it to the server which will
             # execute the method against the selector
-            payload = options.model_dump(exclude_none=True)
+            payload = options.model_dump(exclude_none=True, by_alias=True)
         # Convert string to ActOptions if needed
         elif isinstance(options, str):
             options = ActOptions(action=options)
-            payload = options.model_dump(exclude_none=True)
+            payload = options.model_dump(exclude_none=True, by_alias=True)
         # Otherwise, it should be an ActOptions object
         else:
-            payload = options.model_dump(exclude_none=True)
+            payload = options.model_dump(exclude_none=True, by_alias=True)
 
         lock = self._stagehand._get_lock_for_session()
         async with lock:
@@ -117,7 +117,7 @@ async def observe(self, options: Union[str, ObserveOptions]) -> List[ObserveResu
         if isinstance(options, str):
             options = ObserveOptions(instruction=options)
 
-        payload = options.model_dump(exclude_none=True)
+        payload = options.model_dump(exclude_none=True, by_alias=True)
         lock = self._stagehand._get_lock_for_session()
         async with lock:
             result = await self._stagehand._execute("observe", payload)
@@ -148,7 +148,7 @@ async def extract(self, options: Union[str, ExtractOptions]) -> ExtractResult:
         if isinstance(options, str):
             options = ExtractOptions(instruction=options)
 
-        payload = options.model_dump(exclude_none=True)
+        payload = options.model_dump(exclude_none=True, by_alias=True)
         lock = self._stagehand._get_lock_for_session()
         async with lock:
             result = await self._stagehand._execute("extract", payload)

stagehand/schemas.py

@@ -1,7 +1,7 @@
 from enum import Enum
 from typing import Any, Dict, List, Optional, Type, Union
 
-from pydantic import BaseModel, Field
+from pydantic import BaseModel, Field, field_serializer
 
 # Default extraction schema that matches the TypeScript version
 DEFAULT_EXTRACT_SCHEMA = {
@@ -18,7 +18,18 @@ class AvailableModel(str, Enum):
     CLAUDE_3_7_SONNET_LATEST = "claude-3-7-sonnet-latest"
 
 
-class ActOptions(BaseModel):
+class StagehandBaseModel(BaseModel):
+    """Base model for all Stagehand models with camelCase conversion support"""
+    
+    class Config:
+        populate_by_name = True  # Allow accessing fields by their Python name
+        alias_generator = lambda field_name: ''.join(
+            [field_name.split('_')[0]] + 
+            [word.capitalize() for word in field_name.split('_')[1:]]
+        )  # snake_case to camelCase
+
+
+class ActOptions(StagehandBaseModel):
     """
     Options for the 'act' command.
 
@@ -31,11 +42,11 @@ class ActOptions(BaseModel):
 
     action: str = Field(..., description="The action command to be executed by the AI.")
     variables: Optional[Dict[str, str]] = None
-    model_name: Optional[AvailableModel] = Field(None, alias="modelName")
-    slow_dom_based_act: Optional[bool] = Field(None, alias="slowDomBasedAct")
+    model_name: Optional[AvailableModel] = None
+    slow_dom_based_act: Optional[bool] = None
 
 
-class ActResult(BaseModel):
+class ActResult(StagehandBaseModel):
     """
     Result of the 'act' command.
 
@@ -50,7 +61,7 @@ class ActResult(BaseModel):
     action: str = Field(..., description="The action command that was executed.")
 
 
-class ExtractOptions(BaseModel):
+class ExtractOptions(StagehandBaseModel):
     """
     Options for the 'extract' command.
 
@@ -66,22 +77,28 @@ class ExtractOptions(BaseModel):
     instruction: str = Field(
         ..., description="Instruction specifying what data to extract using AI."
     )
-    model_name: Optional[AvailableModel] = Field(None, alias="modelName")
+    model_name: Optional[AvailableModel] = None
     selector: Optional[str] = None
     # IMPORTANT: If using a Pydantic model for schema_definition, please call its .model_json_schema() method
     # to convert it to a JSON serializable dictionary before sending it with the extract command.
     schema_definition: Union[Dict[str, Any], Type[BaseModel]] = Field(
         default=DEFAULT_EXTRACT_SCHEMA,
         description="A JSON schema or Pydantic model that defines the structure of the expected data.",
-        alias="schemaDefinition",
     )
-    use_text_extract: Optional[bool] = Field(True, alias="useTextExtract")
+    use_text_extract: Optional[bool] = True
+
+    @field_serializer('schema_definition')
+    def serialize_schema_definition(self, schema_definition: Union[Dict[str, Any], Type[BaseModel]]) -> Dict[str, Any]:
+        """Serialize schema_definition to a JSON schema if it's a Pydantic model"""
+        if isinstance(schema_definition, type) and issubclass(schema_definition, BaseModel):
+            return schema_definition.model_json_schema()
+        return schema_definition
 
     class Config:
         arbitrary_types_allowed = True
 
 
-class ExtractResult(BaseModel):
+class ExtractResult(StagehandBaseModel):
     """
     Result of the 'extract' command.
 
@@ -103,7 +120,7 @@ def __getitem__(self, key):
         return getattr(self, key)
 
 
-class ObserveOptions(BaseModel):
+class ObserveOptions(StagehandBaseModel):
     """
     Options for the 'observe' command.
 
@@ -118,13 +135,13 @@ class ObserveOptions(BaseModel):
     instruction: str = Field(
         ..., description="Instruction detailing what the AI should observe."
     )
-    only_visible: Optional[bool] = Field(False, alias="onlyVisible")
-    model_name: Optional[AvailableModel] = Field(None, alias="modelName")
-    return_action: Optional[bool] = Field(None, alias="returnAction")
-    draw_overlay: Optional[bool] = Field(None, alias="drawOverlay")
+    only_visible: Optional[bool] = False
+    model_name: Optional[AvailableModel] = None
+    return_action: Optional[bool] = None
+    draw_overlay: Optional[bool] = None
 
 
-class ObserveResult(BaseModel):
+class ObserveResult(StagehandBaseModel):
     """
     Result of the 'observe' command.
     """
@@ -133,7 +150,7 @@ class ObserveResult(BaseModel):
     description: str = Field(
         ..., description="The description of the observed element."
     )
-    backend_node_id: Optional[int] = Field(None, alias="backendNodeId")
+    backend_node_id: Optional[int] = None
     method: Optional[str] = None
     arguments: Optional[List[str]] = None
 

stagehand/utils.py

@@ -1,23 +1,57 @@
+import asyncio
 import logging
+from typing import Any, Dict
 
+# Setup logging
 logger = logging.getLogger(__name__)
+handler = logging.StreamHandler()
+handler.setFormatter(logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s'))
+logger.addHandler(handler)
 
+async def default_log_handler(log_data: Dict[str, Any]) -> None:
+    """Default handler for log messages from the Stagehand server."""
+    level = log_data.get("level", "info").lower()
+    message = log_data.get("message", "")
 
-async def default_log_handler(log_data: dict):
+    log_method = getattr(logger, level, logger.info)
+    log_method(message)
+
+
+def snake_to_camel(snake_str: str) -> str:
     """
-    Default async log handler that shows detailed server logs.
-    Can be overridden by passing a custom handler to Stagehand's constructor.
+    Convert a snake_case string to camelCase.
+    
+    Args:
+        snake_str: The snake_case string to convert
+        
+    Returns:
+        The converted camelCase string
     """
-    if "type" in log_data:
-        log_type = log_data["type"]
-        data = log_data.get("data", {})
+    components = snake_str.split('_')
+    return components[0] + ''.join(x.title() for x in components[1:])
+
 
-        if log_type == "system":
-            logger.info(f"🔧 SYSTEM: {data}")
-        elif log_type == "log":
-            logger.info(f"📝 LOG: {data}")
-        else:
-            logger.info(f"ℹ️ OTHER [{log_type}]: {data}")
-    else:
-        # Fallback for any other format
-        logger.info(f"🤖 RAW LOG: {log_data}")
+def convert_dict_keys_to_camel_case(data: Dict[str, Any]) -> Dict[str, Any]:
+    """
+    Convert all keys in a dictionary from snake_case to camelCase.
+    Works recursively for nested dictionaries.
+    
+    Args:
+        data: Dictionary with snake_case keys
+        
+    Returns:
+        Dictionary with camelCase keys
+    """
+    result = {}
+    
+    for key, value in data.items():
+        if isinstance(value, dict):
+            value = convert_dict_keys_to_camel_case(value)
+        elif isinstance(value, list):
+            value = [convert_dict_keys_to_camel_case(item) if isinstance(item, dict) else item for item in value]
+            
+        # Convert snake_case key to camelCase
+        camel_key = snake_to_camel(key)
+        result[camel_key] = value
+        
+    return result