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enoch85/ovms-home-assistant
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/enoch85_ovms-home-assistant/custom_components/ovms/rate_limiter.py
ovms.rate_limiter.CommandRateLimiter
import time from typing import List class CommandRateLimiter: """Rate limiter for OVMS commands. Prevents sending too many commands in a short period to avoid overwhelming the OVMS module. """ def __init__(self, max_calls: int=5, period: float=60.0): """Initialize the rate limiter. A...
class CommandRateLimiter: '''Rate limiter for OVMS commands. Prevents sending too many commands in a short period to avoid overwhelming the OVMS module. ''' def __init__(self, max_calls: int=5, period: float=60.0): '''Initialize the rate limiter. Args: max_calls: Maximum nu...
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enoch85/ovms-home-assistant
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/enoch85_ovms-home-assistant/custom_components/ovms/sensor/binary_sensor.py
ovms.sensor.binary_sensor.OVMSBinarySensor
from homeassistant.helpers.dispatcher import async_dispatcher_connect from homeassistant.helpers.device_registry import DeviceInfo from ..const import LOGGER_NAME, SIGNAL_ADD_ENTITIES, SIGNAL_UPDATE_ENTITY, truncate_state_value from ..metrics import METRIC_DEFINITIONS, TOPIC_PATTERNS, BINARY_METRICS, get_metric_by_path...
class OVMSBinarySensor(BinarySensorEntity, RestoreEntity): '''Representation of an OVMS binary sensor.''' def __init__(self, unique_id: str, name: str, topic: str, initial_state: str, device_info: DeviceInfo, attributes: Dict[str, Any], hass: Optional[HomeAssistant]=None, friendly_name: Optional[str]=None) ->...
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enoch85/ovms-home-assistant
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/enoch85_ovms-home-assistant/custom_components/ovms/sensor/entities.py
ovms.sensor.entities.CellVoltageSensor
from ..const import LOGGER_NAME, SIGNAL_ADD_ENTITIES, SIGNAL_UPDATE_ENTITY, truncate_state_value from .parsers import parse_value, process_json_payload, requires_numeric_value, is_special_state_value, calculate_median from homeassistant.components.sensor import SensorEntity, SensorStateClass, SensorDeviceClass from hom...
class CellVoltageSensor(SensorEntity, RestoreEntity): '''Representation of a cell voltage sensor.''' def __init__(self, unique_id: str, name: str, topic: str, initial_state: Any, device_info: DeviceInfo, attributes: Dict[str, Any], friendly_name: Optional[str]=None, hass: Optional[HomeAssistant]=None): ...
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enoch85/ovms-home-assistant
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/enoch85_ovms-home-assistant/custom_components/ovms/sensor/entities.py
ovms.sensor.entities.OVMSSensor
from homeassistant.components.sensor import SensorEntity, SensorStateClass, SensorDeviceClass from homeassistant.helpers.device_registry import DeviceInfo from homeassistant.helpers.dispatcher import async_dispatcher_connect, async_dispatcher_send from homeassistant.helpers.entity import async_generate_entity_id from h...
class OVMSSensor(SensorEntity, RestoreEntity): '''Representation of an OVMS sensor.''' def _is_tire_sensor(self) -> bool: '''Check if this sensor is a tire-related sensor by topic pattern.''' pass def __init__(self, unique_id: str, name: str, topic: str, initial_state: str, device_info: D...
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enoch85/ovms-home-assistant
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/enoch85_ovms-home-assistant/custom_components/ovms/sensor/switch.py
ovms.sensor.switch.OVMSSwitch
from homeassistant.helpers.dispatcher import async_dispatcher_connect from homeassistant.const import EntityCategory from homeassistant.helpers.entity import async_generate_entity_id from ..const import DOMAIN, LOGGER_NAME, SIGNAL_ADD_ENTITIES, SIGNAL_UPDATE_ENTITY, truncate_state_value from homeassistant.core import H...
class OVMSSwitch(SwitchEntity, RestoreEntity): '''Representation of an OVMS switch.''' def __init__(self, unique_id: str, name: str, topic: str, initial_state: str, device_info: DeviceInfo, attributes: Dict[str, Any], command_function: Callable, hass: Optional[HomeAssistant]=None, friendly_name: Optional[str]...
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krissen/polleninformation
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/krissen_polleninformation/custom_components/polleninformation/__init__.py
polleninformation.PollenInformationDataUpdateCoordinator
from homeassistant.helpers.update_coordinator import DataUpdateCoordinator, UpdateFailed from .api import async_get_pollenat_data from homeassistant.core import HomeAssistant from datetime import datetime, timedelta from .const import CONF_APIKEY, CONF_COUNTRY, CONF_LANG, CONF_LATITUDE, CONF_LONGITUDE, DEFAULT_APIKEY, ...
class PollenInformationDataUpdateCoordinator(DataUpdateCoordinator): '''Coordinator to fetch data from polleninformation.at.''' def __init__(self, hass: HomeAssistant, lat, lon, country, lang, apikey): '''Initialize the data coordinator with API parameters.''' pass async def _async_update...
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krissen/polleninformation
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/krissen_polleninformation/custom_components/polleninformation/config_flow.py
polleninformation.config_flow.PolleninformationConfigFlow
from homeassistant import config_entries from homeassistant.helpers.selector import LocationSelector, LocationSelectorConfig from .options_flow import OptionsFlowHandler from .api import async_get_pollenat_data import voluptuous as vol from .utils import async_get_country_code_from_latlon, async_get_country_options, as...
class PolleninformationConfigFlow(config_entries.ConfigFlow, domain=DOMAIN): '''Config flow for polleninformation.at integration.''' async def async_step_user(self, user_input=None): '''Initial step for config flow. User selects country, coordinates via map, language, API key, and location name.''' pa...
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krissen/polleninformation
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/krissen_polleninformation/custom_components/polleninformation/options_flow.py
polleninformation.options_flow.OptionsFlowHandler
from .const import DEFAULT_LANG import voluptuous as vol from homeassistant import config_entries from homeassistant.helpers.selector import LocationSelector, LocationSelectorConfig from .utils import async_get_country_options, async_get_language_options class OptionsFlowHandler(config_entries.OptionsFlowWithConfigEnt...
class OptionsFlowHandler(config_entries.OptionsFlowWithConfigEntry): '''Options flow handler for polleninformation.at integration.''' def __init__(self, config_entry): pass async def async_step_init(self, user_input=None): '''Initial step for options flow.''' pass
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krissen/polleninformation
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/krissen_polleninformation/custom_components/polleninformation/sensor.py
polleninformation.sensor.AllergyRiskHourlySensor
from homeassistant.helpers.update_coordinator import CoordinatorEntity from homeassistant.components.sensor import SensorEntity from .const import DEFAULT_LANG, DOMAIN from datetime import datetime, timedelta, timezone class AllergyRiskHourlySensor(CoordinatorEntity, SensorEntity): """Sensor for hourly allergy ris...
class AllergyRiskHourlySensor(CoordinatorEntity, SensorEntity): '''Sensor for hourly allergy risk (one sensor, with forecast).''' def __init__(self, coordinator, allergyrisk_hourly, levels_current, location_slug, location_title): pass @property def unique_id(self): pass @property ...
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krissen/polleninformation
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/krissen_polleninformation/custom_components/polleninformation/sensor.py
polleninformation.sensor.AllergyRiskSensor
from homeassistant.components.sensor import SensorEntity from .const import DEFAULT_LANG, DOMAIN from datetime import datetime, timedelta, timezone from homeassistant.helpers.update_coordinator import CoordinatorEntity class AllergyRiskSensor(CoordinatorEntity, SensorEntity): """Sensor for daily allergy risk (one ...
class AllergyRiskSensor(CoordinatorEntity, SensorEntity): '''Sensor for daily allergy risk (one sensor, with forecast).''' def __init__(self, coordinator, allergyrisk, levels_current, location_slug, location_title): pass @property def unique_id(self): pass @property def icon(se...
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krissen/polleninformation
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/krissen_polleninformation/custom_components/polleninformation/sensor.py
polleninformation.sensor.PolleninformationSensor
from datetime import datetime, timedelta, timezone from homeassistant.helpers.update_coordinator import CoordinatorEntity from .const import DEFAULT_LANG, DOMAIN from homeassistant.components.sensor import SensorEntity class PolleninformationSensor(CoordinatorEntity, SensorEntity): """Generic sensor for pollen all...
class PolleninformationSensor(CoordinatorEntity, SensorEntity): '''Generic sensor for pollen allergen.''' def __init__(self, coordinator, sensor_type, allergen_name, allergen_en, allergen_slug, allergen_latin, levels_current, levels_en, location_slug, location_title, icon): pass @property def ...
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streetrace-ai/streetrace
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/streetrace-ai_streetrace/src/streetrace/agents/agent_manager.py
streetrace.agents.agent_manager.AgentManager
from pathlib import Path from streetrace.agents.base_agent_loader import AgentInfo from streetrace.system_context import SystemContext import contextlib from streetrace.llm.model_factory import ModelFactory from contextlib import asynccontextmanager from streetrace.tools.tool_provider import ToolProvider from streetrac...
class AgentManager: '''Manages agent discovery, validation, and creation. The AgentManager is responsible for: 1. Discovering agents in standard locations 2. Validating that agents implement the required interface 3. Creating agent instances with necessary dependencies 4. Managing the lifecycle...
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streetrace-ai/streetrace
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/streetrace-ai_streetrace/src/streetrace/agents/base_agent_loader.py
streetrace.agents.base_agent_loader.AgentInfo
from pathlib import Path from typing import TYPE_CHECKING, Literal class AgentInfo: """Agent information container supporting both Python and YAML agents.""" def __init__(self, name: str, description: str, file_path: Path | None=None, module: 'ModuleType | None'=None, yaml_document: 'YamlAgentDocument | None'...
class AgentInfo: '''Agent information container supporting both Python and YAML agents.''' def __init__(self, name: str, description: str, file_path: Path | None=None, module: 'ModuleType | None'=None, yaml_document: 'YamlAgentDocument | None'=None) -> None: '''Initialize agent info. Args: ...
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streetrace-ai/streetrace
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/streetrace-ai_streetrace/src/streetrace/agents/base_agent_loader.py
streetrace.agents.base_agent_loader.AgentLoader
from abc import ABC, abstractmethod from pathlib import Path class AgentLoader(ABC): """Abstract base class for agent loaders.""" @abstractmethod def discover(self) -> list[AgentInfo]: """Discover known agents. Returns: List of discovered agents """ @abstractmeth...
class AgentLoader(ABC): '''Abstract base class for agent loaders.''' @abstractmethod def discover(self) -> list[AgentInfo]: '''Discover known agents. Returns: List of discovered agents ''' pass @abstractmethod def load_agent(self, agent: str | Path | Agen...
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streetrace-ai/streetrace
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/streetrace-ai_streetrace/src/streetrace/agents/code_reviewer/agent.py
streetrace.agents.code_reviewer.agent.CodeReviewerAgent
from a2a.types import AgentCapabilities, AgentSkill from streetrace.system_context import SystemContext from streetrace.llm.model_factory import ModelFactory from streetrace.tools.mcp_transport import HttpTransport from streetrace.tools.tool_provider import AnyTool, ToolProvider from typing import override from streetr...
class CodeReviewerAgent(StreetRaceAgent): '''StreetRace Code Reviewer agent implementation.''' @override def get_agent_card(self) -> StreetRaceAgentCard: '''Provide an A2A AgentCard.''' pass @override async def get_required_tools(self) -> list[AnyTool]: '''Provide a list of ...
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streetrace-ai/streetrace
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/streetrace-ai_streetrace/src/streetrace/agents/coder/agent.py
streetrace.agents.coder.agent.CoderAgent
from streetrace.agents.street_race_agent import StreetRaceAgent from streetrace.tools.tool_provider import AnyTool, ToolProvider from typing import TYPE_CHECKING, override from streetrace.agents.street_race_agent_card import StreetRaceAgentCard from a2a.types import AgentCapabilities, AgentSkill from streetrace.system_...
class CoderAgent(StreetRaceAgent): '''StreetRace Coder agent implementation.''' @override def get_agent_card(self) -> StreetRaceAgentCard: '''Provide an A2A AgentCard.''' pass @override async def get_required_tools(self) -> list[AnyTool]: '''Provide a list of required tool r...
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streetrace-ai/streetrace
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/streetrace-ai_streetrace/src/streetrace/agents/example/agent.py
streetrace.agents.example.agent.GenericAgent
from streetrace.llm.model_factory import ModelFactory from streetrace.agents.street_race_agent_card import StreetRaceAgentCard from streetrace.system_context import SystemContext from streetrace.tools.mcp_transport import HttpTransport, StdioTransport from streetrace.tools.tool_provider import AnyTool, ToolProvider fro...
class GenericAgent(StreetRaceAgent): '''StreetRace Coder agent implementation.''' @override def get_agent_card(self) -> StreetRaceAgentCard: '''Provide an A2A AgentCard.''' pass @override async def get_required_tools(self) -> list[AnyTool]: '''Provide a list of required tool...
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streetrace-ai/streetrace
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/streetrace-ai_streetrace/src/streetrace/agents/py_agent_loader.py
streetrace.agents.py_agent_loader.PythonAgentLoader
from typing import TYPE_CHECKING, Any, cast from pathlib import Path from streetrace.utils.file_discovery import find_files from streetrace.agents.base_agent_loader import AgentInfo, AgentLoader class PythonAgentLoader(AgentLoader): """Python agent loader implementing the AgentLoader interface.""" def __init_...
class PythonAgentLoader(AgentLoader): '''Python agent loader implementing the AgentLoader interface.''' def __init__(self, base_paths: list[Path | str] | list[Path] | list[str]) -> None: '''Initialize the PythonAgentLoader. Args: base_paths: List of base paths to search for agents ...
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streetrace-ai/streetrace
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/streetrace-ai_streetrace/src/streetrace/agents/yaml_agent.py
streetrace.agents.yaml_agent.YamlAgent
from streetrace.agents.street_race_agent_card import StreetRaceAgentCard from typing import TYPE_CHECKING, override from streetrace.agents.yaml_agent_builder import YamlAgentBuilder from streetrace.tools.tool_provider import AnyTool, ToolProvider from streetrace.agents.yaml_models import YamlAgentDocument from streetra...
class YamlAgent(StreetRaceAgent): '''StreetRace agent implementation based on YAML specification.''' def __init__(self, agent_doc: YamlAgentDocument) -> None: '''Initialize with agent document. Args: agent_doc: Agent document containing YAML specification ''' pass ...
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streetrace-ai/streetrace
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/streetrace-ai_streetrace/src/streetrace/agents/yaml_agent_builder.py
streetrace.agents.yaml_agent_builder.YamlAgentBuilder
import inspect from streetrace.llm.model_factory import ModelFactory from streetrace.agents.yaml_models import AgentRef, HttpServerConfig, InlineAgentSpec, McpToolSpec, StdioServerConfig, StreetraceToolSpec, ToolSpec, YamlAgentDocument, YamlAgentSpec from streetrace.tools.tool_provider import AdkTool, AnyTool, ToolProv...
class YamlAgentBuilder: '''Builds ADK agents from YAML agent specifications.''' def __init__(self, model_factory: ModelFactory, tool_provider: ToolProvider, system_context: SystemContext) -> None: '''Initialize the builder.''' pass def _create_transport_from_server_config(self, server_con...
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streetrace-ai/streetrace
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/streetrace-ai_streetrace/src/streetrace/agents/yaml_agent_loader.py
streetrace.agents.yaml_agent_loader.YamlAgentLoader
from streetrace.utils.file_discovery import find_files from pathlib import Path from streetrace.agents.yaml_models import AgentRef, InlineAgentSpec, ToolSpec, YamlAgentDocument, YamlAgentSpec from streetrace.agents.base_agent_loader import AgentCycleError, AgentInfo, AgentLoader, AgentValidationError class YamlAgentLo...
class YamlAgentLoader(AgentLoader): '''YAML agent loader implementing the AgentLoader interface.''' def __init__(self, base_paths: list[Path | str] | list[Path] | list[str]) -> None: '''Initialize the YAML agent loader. Args: base_paths: List of base paths to search for agents ...
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streetrace-ai/streetrace
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/streetrace-ai_streetrace/src/streetrace/agents/yaml_models.py
streetrace.agents.yaml_models.StdioServerConfig
from typing import Any, Literal from pydantic import BaseModel, Field, field_validator, model_validator class StdioServerConfig(BaseModel): """Configuration for stdio MCP server.""" type: Literal[TransportType.STDIO] = TransportType.STDIO command: str args: list[str] = Field(default_factory=list) e...
class StdioServerConfig(BaseModel): '''Configuration for stdio MCP server.''' @field_validator('command', 'args', mode='before') @classmethod def expand_command_env_vars(cls, v: object) -> object: '''Expand environment variables in command and args.''' pass @field_validator('env', m...
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streetrace-ai/streetrace
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/streetrace-ai_streetrace/src/streetrace/agents/yaml_models.py
streetrace.agents.yaml_models.YamlAgentDocument
from pydantic import BaseModel, Field, field_validator, model_validator from pathlib import Path class YamlAgentDocument(BaseModel): """Root agent document with resolved references.""" spec: YamlAgentSpec file_path: Path | None = None def get_name(self) -> str: """Get the agent name.""" ...
class YamlAgentDocument(BaseModel): '''Root agent document with resolved references.''' def get_name(self) -> str: '''Get the agent name.''' pass def get_description(self) -> str: '''Get the agent description.''' pass
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streetrace-ai/streetrace
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/streetrace-ai_streetrace/src/streetrace/app.py
streetrace.app.Application
from streetrace.ui.console_ui import ConsoleUI from streetrace.args import Args from streetrace.ui import ui_events import asyncio from streetrace.input_handler import InputContext, InputHandler from streetrace.preload_deps import preload_dependencies from streetrace.app_state import AppState from streetrace.ui.ui_bus ...
class Application: '''Orchestrates the StreetRace application flow.''' def __init__(self, args: Args, state: AppState, ui: ConsoleUI, ui_bus: UiBus, input_handling_pipeline: list[InputHandler], session_manager: 'SessionManager') -> None: '''Initialize the Application with necessary components and conf...
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streetrace-ai/streetrace
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/streetrace-ai_streetrace/src/streetrace/args.py
streetrace.args.Args
from pathlib import Path import typed_argparse as tap from streetrace.utils.uid import get_user_identity class Args(tap.TypedArgs): """App args.""" path: Path | None = tap.arg(help='Working directory', default=None) model: str | None = tap.arg(help='Model to use, see https://docs.litellm.ai/docs/set_keys. ...
class Args(tap.TypedArgs): '''App args.''' @property def non_interactive_prompt(self) -> tuple[str | None, bool]: '''Get non-interactive prompt provided in arguments. If --prompt argument was provided, returns that. If there were positional arguments, returns them as a prompt. ...
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streetrace-ai/streetrace
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/streetrace-ai_streetrace/src/streetrace/bash_handler.py
streetrace.bash_handler.BashHandler
from streetrace.terminal_session import SessionData, SessionEvent, TerminalSession from typing import override from pathlib import Path from streetrace.input_handler import HANDLED_CONT, SKIP, HandlerResult, InputContext, InputHandler from subprocess import SubprocessError class BashHandler(InputHandler): """Comma...
class BashHandler(InputHandler): '''Command to run a bash command in a virtual terminal. Handles special command syntax: any user input starting from ! is treated as a bash command. ''' def __init__(self, work_dir: Path | None=None) -> None: '''Initialize the BashCommand. Args: ...
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streetrace-ai/streetrace
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/streetrace-ai_streetrace/src/streetrace/commands/command_executor.py
streetrace.commands.command_executor.CommandExecutor
from .base_command import Command from streetrace.input_handler import HANDLED_STOP, SKIP, HandlerResult, InputContext, InputHandler from collections.abc import Sequence class CommandExecutor(InputHandler): """Manage and execute commands derived from the Command base class. Handles registration of Command obj...
class CommandExecutor(InputHandler): '''Manage and execute commands derived from the Command base class. Handles registration of Command objects and executes them based on user input, passing the Application instance to the command's execute method. Handles case-insensitivity and basic error management...
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streetrace-ai/streetrace
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/streetrace-ai_streetrace/src/streetrace/commands/definitions/compact_command.py
streetrace.commands.definitions.compact_command.CompactCommand
from streetrace.ui.ui_bus import UiBus from streetrace.messages import COMPACT from streetrace.commands.base_command import Command from streetrace.args import Args from streetrace.llm.model_factory import ModelFactory from streetrace.system_context import SystemContext from typing import TYPE_CHECKING, override from s...
class CompactCommand(Command): '''Command to compact/summarize the conversation history to reduce token usage.''' def __init__(self, ui_bus: UiBus, args: Args, session_manager: 'SessionManager', system_context: SystemContext, model_factory: ModelFactory) -> None: '''Initialize a new instance of ResetS...
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streetrace-ai/streetrace
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/streetrace-ai_streetrace/src/streetrace/commands/definitions/help_command.py
streetrace.commands.definitions.help_command.HelpCommand
from typing import override from streetrace.commands.command_executor import CommandExecutor from streetrace.commands.base_command import Command from streetrace.ui.ui_bus import UiBus from streetrace.ui import ui_events class HelpCommand(Command): """Displays a list of all available commands with their descriptio...
class HelpCommand(Command): '''Displays a list of all available commands with their descriptions.''' def __init__(self, ui_bus: UiBus, cmd_executor: CommandExecutor) -> None: '''Initialize the HelpCommand. Args: ui_bus: UI event bus to display command information. cmd_e...
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streetrace-ai/streetrace
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/streetrace-ai_streetrace/src/streetrace/commands/definitions/history_command.py
streetrace.commands.definitions.history_command.HistoryCommand
from typing import TYPE_CHECKING, override from streetrace.commands.base_command import Command from streetrace.ui import ui_events class HistoryCommand(Command): """Command to display the conversation history.""" def __init__(self, ui_bus: 'UiBus', system_context: 'SystemContext', session_manager: 'SessionMa...
class HistoryCommand(Command): '''Command to display the conversation history.''' def __init__(self, ui_bus: 'UiBus', system_context: 'SystemContext', session_manager: 'SessionManager') -> None: '''Initialize a new instance of HistoryCommand.''' pass @property def names(self) -> list[s...
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streetrace-ai/streetrace
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/streetrace-ai_streetrace/src/streetrace/commands/definitions/history_command.py
streetrace.commands.definitions.history_command._DisplayHistory
from collections.abc import Sequence from pydantic import BaseModel class _DisplayHistory(BaseModel): system_message: str | None context: Sequence[str] | None session: 'Session | None'
class _DisplayHistory(BaseModel): pass
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streetrace-ai/streetrace
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/streetrace-ai_streetrace/src/streetrace/commands/definitions/reset_command.py
streetrace.commands.definitions.reset_command.ResetSessionCommand
from streetrace.commands.base_command import Command from typing import TYPE_CHECKING, override from streetrace.ui import ui_events class ResetSessionCommand(Command): """Command to clear the conversation history, resetting it to the initial state.""" def __init__(self, ui_bus: 'UiBus', session_manager: 'Sess...
class ResetSessionCommand(Command): '''Command to clear the conversation history, resetting it to the initial state.''' def __init__(self, ui_bus: 'UiBus', session_manager: 'SessionManager') -> None: '''Initialize a new instance of ResetSessionCommand.''' pass @property def names(self)...
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streetrace-ai/streetrace
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/streetrace-ai_streetrace/src/streetrace/llm/lite_llm_client.py
streetrace.llm.lite_llm_client.LiteLLMClientWithUsage
from streetrace.costs import UsageAndCost from litellm.types.utils import ModelResponse, Usage from litellm.litellm_core_utils.streaming_handler import CustomStreamWrapper from streetrace.ui import ui_events from google.adk.models.lite_llm import LiteLlm, LiteLLMClient from streetrace.ui.ui_bus import UiBus class Lite...
class LiteLLMClientWithUsage(LiteLLMClient): '''Provides acompletion method (for better testability).''' def __init__(self, ui_bus: UiBus) -> None: '''Initialize a new instance.''' pass def _process_usage_and_cost(self, model: str, messages: object, completion_response: object) -> None: ...
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streetrace-ai/streetrace
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/streetrace-ai_streetrace/src/streetrace/llm/lite_llm_client.py
streetrace.llm.lite_llm_client.RetryingLiteLlm
from tenacity import AsyncRetrying, TryAgain, stop_after_attempt, wait_incrementing from typing import Any, override from google.adk.models.llm_request import LlmRequest from google.adk.models.llm_response import LlmResponse from streetrace.ui import ui_events from litellm.exceptions import InternalServerError, RateLim...
class RetryingLiteLlm(LiteLlm): '''LiteLlm with built-in retry capabilities for generate_content_async. This implementation adds tenacity-based retries to the original LiteLlm implementation to handle transient errors like rate limits and server errors. ''' def __init__(self, model: str, ui_bus: U...
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streetrace-ai/streetrace
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/streetrace-ai_streetrace/src/streetrace/llm/llm_interface.py
streetrace.llm.llm_interface.AdkLiteLlmInterface
from streetrace.ui.ui_bus import UiBus from typing import TYPE_CHECKING, Any, cast, override from streetrace.ui import ui_events class AdkLiteLlmInterface(LlmInterface): """LiteLLM interface for ADK using RetryingLiteLlm. This implementation uses the RetryingLiteLlm class which has built-in retry function...
class AdkLiteLlmInterface(LlmInterface): '''LiteLLM interface for ADK using RetryingLiteLlm. This implementation uses the RetryingLiteLlm class which has built-in retry functionality for handling transient errors like rate limits and server errors. ''' def __init__(self, model: str, ui_bus: UiBus)...
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streetrace-ai/streetrace
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/streetrace-ai_streetrace/src/streetrace/llm/llm_interface.py
streetrace.llm.llm_interface.LlmInterface
from abc import ABC, abstractmethod from typing import TYPE_CHECKING, Any, cast, override class LlmInterface(ABC): """A generic LLM interface. Provides a way to call an LLM using StreetRace🚗💨 internal types for ease of use. StreetRace🚗💨 uses: streetrace.history.History for conversation histor...
class LlmInterface(ABC): '''A generic LLM interface. Provides a way to call an LLM using StreetRace🚗💨 internal types for ease of use. StreetRace🚗💨 uses: streetrace.history.History for conversation history; list[dict] for tools; litellm.types.utils.ModelResponse for response. ...
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streetrace-ai/streetrace
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/streetrace-ai_streetrace/src/streetrace/llm/model_factory.py
streetrace.llm.model_factory.ModelFactory
from streetrace.ui.ui_bus import UiBus from streetrace.llm.llm_interface import AdkLiteLlmInterface, LlmInterface class ModelFactory: """Factory class to create and manage models for the StreetRace application. This class is responsible for: 1. Managing model configurations 2. Creating and caching Llm...
class ModelFactory: '''Factory class to create and manage models for the StreetRace application. This class is responsible for: 1. Managing model configurations 2. Creating and caching LlmInterface instances 3. Providing access to underlying BaseLlm instances for agents ''' def __init__(se...
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streetrace-ai/streetrace
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/streetrace-ai_streetrace/src/streetrace/prompt_processor.py
streetrace.prompt_processor.PromptProcessor
from streetrace.args import Args from streetrace.input_handler import HANDLED_CONT, SKIP, HandlerResult, InputContext, InputHandler import re import os from streetrace.ui import ui_events from streetrace.ui.ui_bus import UiBus from pathlib import Path class PromptProcessor(InputHandler): """Enrich user's prompt if...
class PromptProcessor(InputHandler): '''Enrich user's prompt if necessary.''' def __init__(self, ui_bus: UiBus, args: Args) -> None: '''Initialize the PromptProcessor. Args: ui_bus: UI event bus to exchange messages with the UI. args: App args. ''' pass ...
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streetrace-ai/streetrace
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/streetrace-ai_streetrace/src/streetrace/session_md.py
streetrace.session_md.MDSessionWriter
import json from marko.md_renderer import MarkdownRenderer from types import TracebackType from datetime import UTC, datetime from google.adk.sessions import Session from marko import Markdown from google.genai import types as genai_types from pathlib import Path from google.adk.events import Event class MDSessionWrit...
class MDSessionWriter: '''Markdown Session writer implementation.''' def __init__(self, path: Path) -> None: '''Initialize a new instance of MDSessionWriter writing to the provided path.''' pass def __enter__(self) -> 'MDSessionWriter': pass def __exit__(self, exc_type: type[...
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streetrace-ai/streetrace
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/streetrace-ai_streetrace/src/streetrace/system_context.py
streetrace.system_context.SystemContext
from tzlocal import get_localzone from pathlib import Path from datetime import datetime from streetrace import messages from collections.abc import Sequence from streetrace.ui import ui_events from streetrace.ui.ui_bus import UiBus class SystemContext: """Handle loading and providing system and project context fo...
class SystemContext: '''Handle loading and providing system and project context for AI interactions. Responsible for reading the system message and project context files from the configuration directory. ''' def __init__(self, ui_bus: UiBus, context_dir: Path) -> None: '''Initialize the Sy...
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streetrace-ai/streetrace
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/streetrace-ai_streetrace/src/streetrace/terminal_session.py
streetrace.terminal_session.SessionData
from datetime import UTC, datetime from dataclasses import dataclass, field @dataclass class SessionData: """Data entry for a terminal session.""" timestamp: datetime source: str content: str
@dataclass class SessionData: '''Data entry for a terminal session.''' pass
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streetrace-ai/streetrace
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/streetrace-ai_streetrace/src/streetrace/terminal_session.py
streetrace.terminal_session.TerminalSession
import signal import struct import threading from pathlib import Path from datetime import UTC, datetime import os import fcntl import tty from types import FrameType from streetrace.log import get_logger import contextlib import pty from typing import Any import subprocess from collections.abc import Callable import s...
class TerminalSession: '''Manages a terminal session with command execution and event callbacks.''' def __init__(self, on_session_update: Callable[[SessionEvent], None] | None=None, on_session_complete: Callable[[SessionEvent], None] | None=None, work_dir: Path | None=None, *, terminal_width: int | None=None,...
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streetrace-ai/streetrace
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/streetrace-ai_streetrace/src/streetrace/tools/mcp_transport.py
streetrace.tools.mcp_transport.StdioTransport
from typing import Any, Literal from pydantic import BaseModel, Field class StdioTransport(BaseModel): """Configuration for STDIO-based MCP connections.""" type: Literal['stdio'] = 'stdio' command: str args: list[str] = Field(default_factory=list) cwd: str | None = Field(default=None, description='...
class StdioTransport(BaseModel): '''Configuration for STDIO-based MCP connections.''' pass
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streetrace-ai/streetrace
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/streetrace-ai_streetrace/src/streetrace/tools/tool_refs.py
streetrace.tools.tool_refs.McpToolRef
from streetrace.tools.mcp_transport import Transport from typing import Literal from pydantic import BaseModel, Field class McpToolRef(BaseModel): """Reference to MCP (Model Context Protocol) tools.""" kind: Literal['mcp'] = 'mcp' name: str server: Transport tools: list[str] = Field(default_factory...
class McpToolRef(BaseModel): '''Reference to MCP (Model Context Protocol) tools.''' pass
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streetrace-ai/streetrace
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/streetrace-ai_streetrace/src/streetrace/tools/tool_refs.py
streetrace.tools.tool_refs.StreetraceToolRef
from pydantic import BaseModel, Field from typing import Literal class StreetraceToolRef(BaseModel): """Reference to StreetRace internal tools.""" kind: Literal['streetrace'] = 'streetrace' module: str function: str
class StreetraceToolRef(BaseModel): '''Reference to StreetRace internal tools.''' pass
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streetrace-ai/streetrace
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/streetrace-ai_streetrace/src/streetrace/ui/adk_event_renderer.py
streetrace.ui.adk_event_renderer.EventRenderer
from streetrace.ui.colors import Styles from typing import TYPE_CHECKING, Any class EventRenderer: """Stateful renderer that groups function calls with their responses.""" def __init__(self) -> None: """Initialize the event renderer.""" self.pending_function_call: tuple[str, FunctionCall] | No...
class EventRenderer: '''Stateful renderer that groups function calls with their responses.''' def __init__(self) -> None: '''Initialize the event renderer.''' pass def render_event(self, obj: 'Event', console: 'Console') -> None: '''Render the provided google.adk.events.Event to r...
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streetrace-ai/streetrace
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/streetrace-ai_streetrace/src/streetrace/ui/completer.py
streetrace.ui.completer.CommandCompleter
from streetrace.commands.command_executor import CommandExecutor from prompt_toolkit.completion import CompleteEvent, Completer, Completion from collections.abc import Iterable import re class CommandCompleter(Completer): """A prompt_toolkit /command completer. Suggests predefined commands when the user types...
class CommandCompleter(Completer): '''A prompt_toolkit /command completer. Suggests predefined commands when the user types '/'. Only activates if the entire input consists only of the command being typed (allowing for leading/trailing whitespace). ''' def __init__(self, command_executor: Comm...
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streetrace-ai/streetrace
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/streetrace-ai_streetrace/src/streetrace/ui/completer.py
streetrace.ui.completer.PathCompleter
import re from prompt_toolkit.completion import CompleteEvent, Completer, Completion from pathlib import Path from collections.abc import Iterable import os class PathCompleter(Completer): """A prompt_toolkit @path completer. Suggests file and directory paths relative to a working directory when the user ...
class PathCompleter(Completer): '''A prompt_toolkit @path completer. Suggests file and directory paths relative to a working directory when the user types '@'. Only activates if the cursor is adjacent to or within a valid @-mention path. ''' def __init__(self, working_dir: Path) -> None: ...
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streetrace-ai/streetrace
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/streetrace-ai_streetrace/src/streetrace/ui/console_ui.py
streetrace.ui.console_ui.ConsoleUI
from streetrace.app_state import AppState from typing import TYPE_CHECKING, Any from streetrace.ui.render_protocol import render_using_registered_renderer from prompt_toolkit.key_binding import KeyBindings from prompt_toolkit.patch_stdout import patch_stdout from prompt_toolkit import HTML, PromptSession from streetrac...
class ConsoleUI: '''Handles all console input and output for the StreetRace application. Encapsulates print statements and ANSI color codes for consistent UI. Leverages a completer for interactive input suggestions. ''' def __init__(self, app_state: AppState, completer: Completer, ui_bus: UiBus) -...
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streetrace-ai/streetrace
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/streetrace-ai_streetrace/src/streetrace/ui/console_ui.py
streetrace.ui.console_ui.StatusSpinner
from rich.console import Console from streetrace.app_state import AppState from types import TracebackType class StatusSpinner: """Console Status, encapsulates rich.status.""" _ICON = 'hamburger' _EMPTY_MESSAGE = 'Working...' def __init__(self, app_state: AppState, console: Console) -> None: "...
class StatusSpinner: '''Console Status, encapsulates rich.status.''' def __init__(self, app_state: AppState, console: Console) -> None: '''Initialize the instance and instantiate rich.status. Args: app_state: App State container. console: The console instance to attach ...
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streetrace-ai/streetrace
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/streetrace-ai_streetrace/src/streetrace/ui/ui_bus.py
streetrace.ui.ui_bus.UiBus
from pubsub.core import Publisher from streetrace.costs import UsageAndCost from typing import Any from collections.abc import Callable class UiBus: """UI event bus that helps exchange messages between UI and App logic.""" _publisher: Publisher def __init__(self) -> None: """Initialize a new insta...
class UiBus: '''UI event bus that helps exchange messages between UI and App logic.''' def __init__(self) -> None: '''Initialize a new instance of UiBus with a separate pubsub Publisher.''' pass def dispatch_ui_update(self, event: Any) -> None: '''Send a new renderable to the UI. ...
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streetrace-ai/streetrace
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/streetrace-ai_streetrace/src/streetrace/workflow/supervisor.py
streetrace.workflow.supervisor.Supervisor
from streetrace.ui.adk_event_renderer import Event from streetrace.ui import ui_events from typing import TYPE_CHECKING, override from streetrace.input_handler import HANDLED_CONT, HandlerResult, InputContext, InputHandler from streetrace.ui.ui_bus import UiBus class Supervisor(InputHandler): """Workflow superviso...
class Supervisor(InputHandler): '''Workflow supervisor manages and executes available workflows.''' def __init__(self, agent_manager: 'AgentManager', session_manager: 'SessionManager', ui_bus: UiBus) -> None: '''Initialize a new instance of workflow supervisor. Args: agent_manager:...
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Accenture/airefinery-sdk
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/Accenture_airefinery-sdk/air/api/pandas.py
air.api.pandas.PandasAPI
import pandas as pd import traceback import json import os from typing import Any class PandasAPI: """ The class for Dataframe client """ def __init__(self, df_metadata_list: list[dict]) -> None: """ Initializes the dataframe API object. Args: df_metadata_list: lis...
class PandasAPI: ''' The class for Dataframe client ''' def __init__(self, df_metadata_list: list[dict]) -> None: ''' Initializes the dataframe API object. Args: df_metadata_list: list of (name, file_path) tuples of dataframes. ''' pass asyn...
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Accenture/airefinery-sdk
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/Accenture_airefinery-sdk/air/api/postgres.py
air.api.postgres.PostgresAPI
from typing import Any, Optional import traceback import asyncpg class PostgresAPI: """ A class to manage PostgreSQL database interactions using asynchronous connections. Attributes: config (dict): Configuration settings for the database connection, including "host", "port", "database"...
class PostgresAPI: ''' A class to manage PostgreSQL database interactions using asynchronous connections. Attributes: config (dict): Configuration settings for the database connection, including "host", "port", "database", "user", and "password". ''' def __init__(self, db_confi...
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Accenture/airefinery-sdk
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/Accenture_airefinery-sdk/air/api/vector_db/azure_aisearch.py
air.api.vector_db.azure_aisearch.AzureAISearch
import requests from requests.exceptions import HTTPError from air.api.vector_db.base_vectordb import BaseVectorDB, VectorDBConfig from air import auth import json from tenacity import retry, retry_if_exception_type, stop_after_attempt, wait_random_exponential from typing import List from air.embeddings import Embeddin...
class AzureAISearch(BaseVectorDB): ''' Class to upload data to vector DB, inherits from BaseVectorDB ''' def __init__(self, vectordb_config: VectorDBConfig): pass @retry(retry=retry_if_exception_type(requests.exceptions.HTTPError), stop=stop_after_attempt(5), wait=wait_random_exponential(m...
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Accenture/airefinery-sdk
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/Accenture_airefinery-sdk/air/api/vector_db/base_vectordb.py
air.api.vector_db.base_vectordb.BaseVectorDB
class BaseVectorDB(metaclass=VectorDBMeta): """ Base configuration class for any vector DB """ def __init__(self, vectordb_config: VectorDBConfig): self.url = vectordb_config.base_url self.api_key = vectordb_config.api_key self.api_version = vectordb_config.api_version s...
class BaseVectorDB(metaclass=VectorDBMeta): ''' Base configuration class for any vector DB ''' def __init__(self, vectordb_config: VectorDBConfig): pass
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Accenture/airefinery-sdk
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/Accenture_airefinery-sdk/air/api/vector_db/base_vectordb.py
air.api.vector_db.base_vectordb.VectorDBConfig
from typing import List from pydantic import BaseModel, Field class VectorDBConfig(BaseModel): """ VectorDB configuration class """ type: str = Field(default='AzureAISearch', description='Type of the Vector DB') base_url: str = Field(..., description='Vector DB URL') api_key: str = Field(..., d...
class VectorDBConfig(BaseModel): ''' VectorDB configuration class ''' pass
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Accenture/airefinery-sdk
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/Accenture_airefinery-sdk/air/api/vector_db/base_vectordb.py
air.api.vector_db.base_vectordb.VectorDBMeta
from abc import ABCMeta from air.api.vector_db.vectordb_registry import VectorDBRegistry class VectorDBMeta(ABCMeta): """ A metaclass that registers any concrete subclass of BaseVectorDB in VectorDBRegistry at creation time. Because BaseVectorDB already depends on ABC (which uses ABCMeta), we must...
class VectorDBMeta(ABCMeta): ''' A metaclass that registers any concrete subclass of BaseVectorDB in VectorDBRegistry at creation time. Because BaseVectorDB already depends on ABC (which uses ABCMeta), we must inherit from ABCMeta here to avoid a metaclass conflict. ''' def __init__(cl...
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Accenture/airefinery-sdk
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/Accenture_airefinery-sdk/air/api/vector_db/elastic_search.py
air.api.vector_db.elastic_search.ElasticSearch
from air.api.vector_db.base_vectordb import BaseVectorDB, VectorDBConfig from air.embeddings import EmbeddingsClient from tenacity import retry, retry_if_exception_type, stop_after_attempt, wait_random_exponential from air import auth from typing import List import json import requests from requests.exceptions import H...
class ElasticSearch(BaseVectorDB): ''' A class to interact with the ElasticSearch API for vector-based retrieval. This class uses embeddings generated by the embed_api client to perform vector searches on an ElasticSearch index, returning relevant documents based on the user’s query. ''' d...
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Accenture/airefinery-sdk
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/Accenture_airefinery-sdk/air/api/vector_db/vectordb_registry.py
air.api.vector_db.vectordb_registry.VectorDBRegistry
class VectorDBRegistry: """ A global registry that keeps track of all vector db classes (subclasses of BaseVectorDB). """ _registry = {} @classmethod def register(cls, subclass): """ Register a subclass in the global registry. The key is the class name, but you can c...
class VectorDBRegistry: ''' A global registry that keeps track of all vector db classes (subclasses of BaseVectorDB). ''' @classmethod def register(cls, subclass): ''' Register a subclass in the global registry. The key is the class name, but you can choose any naming...
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Accenture/airefinery-sdk
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/Accenture_airefinery-sdk/air/audio/asr_client.py
air.audio.asr_client.ASRClient
from typing import IO, AsyncGenerator, AsyncIterator, Generator, Iterator, Literal, Union, cast, overload import os from air import __version__ from air.types.audio import APIResponse, AsyncAPIResponse, AsyncResponseContextManager, AsyncStream, ChunkingStrategy, ResponseContextManager, Stream, TranscriptionStreamEvent ...
class ASRClient: ''' A synchronous client for the speech-to-text endpoint. This class handles sending requests to the speech-to-text endpoint and converts the responses into Pydantic models for type safety. ''' def __init__(self, base_url: str, api_key: str, default_headers: dict[str, str] | N...
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Accenture/airefinery-sdk
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/Accenture_airefinery-sdk/air/audio/asr_client.py
air.audio.asr_client.AsyncASRClient
from air.types import ASRResponse from air.types.audio import APIResponse, AsyncAPIResponse, AsyncResponseContextManager, AsyncStream, ChunkingStrategy, ResponseContextManager, Stream, TranscriptionStreamEvent from functools import cached_property from air import __version__ import aiohttp from pydantic import TypeAdap...
class AsyncASRClient: ''' An asynchronous client for the speech-to-text endpoint. This class handles sending requests to the speech-to-text endpoint and converts the responses into Pydantic models for type safety. ''' def __init__(self, base_url: str, api_key: str, default_headers: dict[str, s...
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Accenture/airefinery-sdk
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/Accenture_airefinery-sdk/air/audio/asr_client.py
air.audio.asr_client.AsyncTranscriptionsWithStreamingResponse
from contextlib import asynccontextmanager, contextmanager from typing import IO, AsyncGenerator, AsyncIterator, Generator, Iterator, Literal, Union, cast, overload import aiohttp import json from air.types import ASRResponse import os from air import __version__ from air.types.audio import APIResponse, AsyncAPIRespons...
class AsyncTranscriptionsWithStreamingResponse: ''' A wrapper class for creating asynchronous speech-to-text transcriptions with support for streaming responses. This class applies the same transcription logic to as `AsyncASRClient`, while returning responses using an async context manager. '''...
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Accenture/airefinery-sdk
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/Accenture_airefinery-sdk/air/audio/asr_client.py
air.audio.asr_client.TranscriptionsWithStreamingResponse
import os import requests from typing import IO, AsyncGenerator, AsyncIterator, Generator, Iterator, Literal, Union, cast, overload from air.types import ASRResponse import json from air.types.audio import APIResponse, AsyncAPIResponse, AsyncResponseContextManager, AsyncStream, ChunkingStrategy, ResponseContextManager,...
class TranscriptionsWithStreamingResponse: ''' A wrapper class for creating synchronous speech-to-text transcriptions with support for streaming responses. This class applies the same transcription logic to as `ASRClient`, while returning responses using an async context manager. ''' def _...
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Accenture/airefinery-sdk
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/Accenture_airefinery-sdk/air/audio/client.py
air.audio.client.AsyncAudio
from air.audio.asr_client import ASRClient, AsyncASRClient from air.audio.tts_client import AsyncTTSClient, TTSClient class AsyncAudio: """ An audio client that exposes asr and tts in a single interface, operating asynchronously. """ def __init__(self, api_key: str, base_url: str, default_headers:...
class AsyncAudio: ''' An audio client that exposes asr and tts in a single interface, operating asynchronously. ''' def __init__(self, api_key: str, base_url: str, default_headers: dict[str, str] | None=None, **kwargs): ''' Initializes the asynchronous unified audio client with sub...
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Accenture/airefinery-sdk
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/Accenture_airefinery-sdk/air/audio/client.py
air.audio.client.Audio
from air.audio.asr_client import ASRClient, AsyncASRClient from air.audio.tts_client import AsyncTTSClient, TTSClient class Audio: """ An audio client that exposes asr and tts in a single interface, operating synchronously. """ def __init__(self, api_key: str, base_url: str, default_headers: dict[...
class Audio: ''' An audio client that exposes asr and tts in a single interface, operating synchronously. ''' def __init__(self, api_key: str, base_url: str, default_headers: dict[str, str] | None=None, **kwargs): ''' Initializes the synchronous unified client with sub-clients. ...
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Accenture/airefinery-sdk
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/Accenture_airefinery-sdk/air/audio/tts_client.py
air.audio.tts_client.AsyncTTSClient
from air.types.audio import TTSResponse from functools import cached_property from typing import Any, AsyncGenerator from air import __version__ import aiohttp class AsyncTTSClient: """ An asynchronous client for the text-to-speech endpoint. This class handles sending requests to the text-to-speech endpoi...
class AsyncTTSClient: ''' An asynchronous client for the text-to-speech endpoint. This class handles sending requests to the text-to-speech endpoint and converts the responses into TTSResponse objects for type safety. Supports both batch and streaming synthesis: - create(): Returns complete aud...
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Accenture/airefinery-sdk
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/Accenture_airefinery-sdk/air/audio/tts_client.py
air.audio.tts_client.AsyncTTSClientWithStreamingResponse
from air import __version__ from typing import Any, AsyncGenerator import aiohttp class AsyncTTSClientWithStreamingResponse: """ Streaming response wrapper for AsyncTTSClient. This wrapper enables OpenAI-compatible streaming syntax using client.audio.speech.with_streaming_response.create(...) """ ...
class AsyncTTSClientWithStreamingResponse: ''' Streaming response wrapper for AsyncTTSClient. This wrapper enables OpenAI-compatible streaming syntax using client.audio.speech.with_streaming_response.create(...) ''' def __init__(self, client: AsyncTTSClient): ''' Initialize the...
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Accenture/airefinery-sdk
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/Accenture_airefinery-sdk/air/audio/tts_client.py
air.audio.tts_client.StreamingResponse
import io class StreamingResponse: """Wrapper to make streaming responses Open AI compatible. Provides both sync and async iteration over audio chunks, with methods for saving streamed content to files. Automatically handles the difference between sync and async streaming based on the is_async flag. ...
class StreamingResponse: '''Wrapper to make streaming responses Open AI compatible. Provides both sync and async iteration over audio chunks, with methods for saving streamed content to files. Automatically handles the difference between sync and async streaming based on the is_async flag. Args: ...
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Accenture/airefinery-sdk
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/Accenture_airefinery-sdk/air/audio/tts_client.py
air.audio.tts_client.TTSClient
import requests from air import __version__ from air.types.audio import TTSResponse from functools import cached_property from typing import Any, AsyncGenerator class TTSClient: """ A synchronous client for the text-to-speech endpoint. This class handles sending requests to the text-to-speech endpoint ...
class TTSClient: ''' A synchronous client for the text-to-speech endpoint. This class handles sending requests to the text-to-speech endpoint and converts the responses into TTSResponse objects for type safety. Supports both batch and streaming synthesis: - create(): Returns complete audio (bat...
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Accenture/airefinery-sdk
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/Accenture_airefinery-sdk/air/audio/tts_client.py
air.audio.tts_client.TTSClientWithStreamingResponse
import requests from typing import Any, AsyncGenerator from air import __version__ class TTSClientWithStreamingResponse: """ Streaming response wrapper for TTSClient. This wrapper enables OpenAI-compatible streaming syntax using client.audio.speech.with_streaming_response.create(...) """ def ...
class TTSClientWithStreamingResponse: ''' Streaming response wrapper for TTSClient. This wrapper enables OpenAI-compatible streaming syntax using client.audio.speech.with_streaming_response.create(...) ''' def __init__(self, client: TTSClient): ''' Initialize the streaming wrap...
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Accenture/airefinery-sdk
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/Accenture_airefinery-sdk/air/authenticator.py
air.authenticator.Authenticator
import time from typing import Any, Optional import requests from air import __base_url__, __version__ class Authenticator: """Handles authentication for the AI Refinery platform.""" timeout = 3000 def __init__(self, account: Optional[str]=None, api_key: Optional[str]=None, base_url: Optional[str]=None): ...
class Authenticator: '''Handles authentication for the AI Refinery platform.''' def __init__(self, account: Optional[str]=None, api_key: Optional[str]=None, base_url: Optional[str]=None): ''' Initialize the Authenticator, attempting to log in using provided credentials. Args: ...
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Accenture/airefinery-sdk
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/Accenture_airefinery-sdk/air/chat/client.py
air.chat.client.AsyncChatClient
class AsyncChatClient: """ A higher-level asynchronous chat client that groups related API calls. This object provides a `.completions` property (AsyncChatCompletionsClient), so you can use: await client.completions.create(...) """ def __init__(self, base_url: str, api_key: str, default_header...
class AsyncChatClient: ''' A higher-level asynchronous chat client that groups related API calls. This object provides a `.completions` property (AsyncChatCompletionsClient), so you can use: await client.completions.create(...) ''' def __init__(self, base_url: str, api_key: str, default_headers...
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Accenture/airefinery-sdk
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/Accenture_airefinery-sdk/air/chat/client.py
air.chat.client.AsyncChatCompletionsClient
from air import __version__ from air.types import ChatCompletion import aiohttp class AsyncChatCompletionsClient: """ An asynchronous client for the chat completions endpoint. This class sends requests to create chat completions and converts the responses into Pydantic models for type safety. """ ...
class AsyncChatCompletionsClient: ''' An asynchronous client for the chat completions endpoint. This class sends requests to create chat completions and converts the responses into Pydantic models for type safety. ''' def __init__(self, base_url: str, api_key: str, default_headers: dict[str, s...
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Accenture/airefinery-sdk
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/Accenture_airefinery-sdk/air/chat/client.py
air.chat.client.ChatClient
class ChatClient: """ A higher-level synchronous chat client that groups related API calls. This object provides a `.completions` property (ChatCompletionsClient), so you can use: client.completions.create(...) """ def __init__(self, base_url: str, api_key: str, default_headers: dict[str, str]...
class ChatClient: ''' A higher-level synchronous chat client that groups related API calls. This object provides a `.completions` property (ChatCompletionsClient), so you can use: client.completions.create(...) ''' def __init__(self, base_url: str, api_key: str, default_headers: dict[str, str] ...
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Accenture/airefinery-sdk
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/Accenture_airefinery-sdk/air/chat/client.py
air.chat.client.ChatCompletionsClient
from air.types import ChatCompletion import requests from air import __version__ class ChatCompletionsClient: """ A synchronous client for the chat completions endpoint. This class sends requests to create chat completions and converts the responses into Pydantic models for type safety. """ d...
class ChatCompletionsClient: ''' A synchronous client for the chat completions endpoint. This class sends requests to create chat completions and converts the responses into Pydantic models for type safety. ''' def __init__(self, base_url: str, api_key: str, default_headers: dict[str, str] | N...
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Accenture/airefinery-sdk
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/Accenture_airefinery-sdk/air/client.py
air.client.AIRefinery
from air.knowledge import AsyncKnowledgeClient, KnowledgeClient from air.chat import AsyncChatClient, ChatClient from air.embeddings import AsyncEmbeddingsClient, EmbeddingsClient from air.models import AsyncModelsClient, ModelsClient from air.audio import AsyncAudio, Audio from air.images import AsyncImagesClient, Ima...
class AIRefinery: ''' A top-level client that exposes various sub-clients in a single interface, operating synchronously. Example usage: client = AIRefinery( api_key="...", base_url="...", default_headers={"X-Client-Version": "1.2.3"} ) # Use ...
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Accenture/airefinery-sdk
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/Accenture_airefinery-sdk/air/client.py
air.client.AsyncAIRefinery
from air.models import AsyncModelsClient, ModelsClient from air.embeddings import AsyncEmbeddingsClient, EmbeddingsClient from air.images import AsyncImagesClient, ImagesClient from air.distiller import AsyncDistillerClient from air.knowledge import AsyncKnowledgeClient, KnowledgeClient from air.chat import AsyncChatCl...
class AsyncAIRefinery: ''' A top-level client that exposes various sub-clients in a single interface, operating asynchronously. Example usage: client = AsyncAIRefinery( api_key="...", base_url="...", default_headers={"X-Client-Version": "1.2.3"} ) ...
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Accenture/airefinery-sdk
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/Accenture_airefinery-sdk/air/distiller/client.py
air.distiller.client.AsyncDistillerClient
import websockets from typing import Any, Callable, Optional, cast from importlib.metadata import version from air import PostgresAPI, __base_url__, __version__, auth import requests import asyncio from omegaconf import OmegaConf from air.utils import async_input, async_print import traceback from air.distiller.executo...
class AsyncDistillerClient: ''' Distiller SDK for AI Refinery. This class provides an interface for interacting with the AI Refinery's distiller service, allowing users to create projects, download configurations, and run distiller sessions. ''' def __init__(self, *, base_url: str='', api_...
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Accenture/airefinery-sdk
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/Accenture_airefinery-sdk/air/distiller/executor/amazon_bedrock_executor.py
air.distiller.executor.amazon_bedrock_executor.AmazonBedrockExecutor
import asyncio import uuid from air.types.distiller.executor.amazon_bedrock_config import AmazonBedrockAgentConfig from air.distiller.executor.executor import Executor from typing import Any, Callable, Dict class AmazonBedrockExecutor(Executor): """Executor class for AWS Agents leveraging AWS Bedrock. This cl...
class AmazonBedrockExecutor(Executor): '''Executor class for AWS Agents leveraging AWS Bedrock. This class extends the generic `Executor` to provide functionality for interacting with an AWS Bedrock agent created in the UI. ''' def __init__(self, func: Dict[str, Callable], send_queue: asyncio.Queu...
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Accenture/airefinery-sdk
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/Accenture_airefinery-sdk/air/distiller/executor/amazon_bedrock_executor.py
air.distiller.executor.amazon_bedrock_executor.AmazonBedrockSessionManager
import os import uuid import logging class AmazonBedrockSessionManager: """ Manages the AWS agent session lifecycle. """ def __init__(self, client_key, client_secret, deployment_region, agent_id, alias_id, session_id): """ Initializes the AmazonBedrockSessionManager. Args: ...
class AmazonBedrockSessionManager: ''' Manages the AWS agent session lifecycle. ''' def __init__(self, client_key, client_secret, deployment_region, agent_id, alias_id, session_id): ''' Initializes the AmazonBedrockSessionManager. Args: client_key: The mapping to th...
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Accenture/airefinery-sdk
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/Accenture_airefinery-sdk/air/distiller/executor/analytics_executor.py
air.distiller.executor.analytics_executor.AnalyticsExecutor
import asyncio from air.api import PostgresAPI, PandasAPI from air.distiller.executor.executor import Executor from typing import Callable, Dict, Any class AnalyticsExecutor(Executor): """Executor class for AnalyticsAgent. Extends Executor to support multiple retriever functions based on retriever types. ...
class AnalyticsExecutor(Executor): '''Executor class for AnalyticsAgent. Extends Executor to support multiple retriever functions based on retriever types. ''' def __init__(self, func: Dict[str, Callable], send_queue: asyncio.Queue, account: str, project: str, uuid: str, role: str, utility_config: Dic...
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Accenture/airefinery-sdk
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/Accenture_airefinery-sdk/air/distiller/executor/azure_executor.py
air.distiller.executor.azure_executor.AzureExecutor
from air.distiller.executor.executor import Executor from typing import Any, Callable, Dict, Optional import asyncio from air.types.distiller.executor.azure_config import AzureAgentConfig class AzureExecutor(Executor): """Executor class for Azure Web Agent leveraging Azure AI's agent engines. This class exten...
class AzureExecutor(Executor): '''Executor class for Azure Web Agent leveraging Azure AI's agent engines. This class extends the generic `Executor` to provide functionality for interacting with an Azure AI agent via its Web UI creation mode. ''' def __init__(self, func: Dict[str, Callable], send_q...
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Accenture/airefinery-sdk
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/Accenture_airefinery-sdk/air/distiller/executor/databricks_executor.py
air.distiller.executor.databricks_executor.DatabricksExecutor
from air.distiller.executor.executor import Executor import asyncio from air.types.distiller.executor.databricks_config import DatabricksAgentConfig import json from typing import Any, Callable, Dict class DatabricksExecutor(Executor): """ Executor class for Databricks Agent. """ agent_class: str = 'Da...
class DatabricksExecutor(Executor): ''' Executor class for Databricks Agent. ''' def __init__(self, func: Dict[str, Callable], send_queue: asyncio.Queue, account: str, project: str, uuid: str, role: str, utility_config: Dict[str, Any], return_string: bool=True): ''' Initializes the...
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Accenture/airefinery-sdk
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/Accenture_airefinery-sdk/air/distiller/executor/databricks_executor.py
air.distiller.executor.databricks_executor.DatabricksSessionManager
import os from databricks.sdk import WorkspaceClient class DatabricksSessionManager: """ Manages the Databricks agent session. """ def __init__(self, client_id_env_var, client_secret_env_var, host_url_env_var, genie_space_id_env_var): """ Initializes the DatabricksSessionManager. ...
class DatabricksSessionManager: ''' Manages the Databricks agent session. ''' def __init__(self, client_id_env_var, client_secret_env_var, host_url_env_var, genie_space_id_env_var): ''' Initializes the DatabricksSessionManager. Args: genie_space_id: The Databricks G...
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Accenture/airefinery-sdk
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/Accenture_airefinery-sdk/air/distiller/executor/executor.py
air.distiller.executor.executor.Executor
import concurrent.futures import inspect from typing import Callable, Optional, Union, Dict import asyncio class Executor: """ Executor class for handling the execution of synchronous or asynchronous functions. Attributes: agent_class (str): The name of the agent class. """ agent_class: st...
class Executor: ''' Executor class for handling the execution of synchronous or asynchronous functions. Attributes: agent_class (str): The name of the agent class. ''' def __init__(self, func: Union[Callable, Dict[str, Callable]], send_queue: asyncio.Queue, account: str, project: s...
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Accenture/airefinery-sdk
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/Accenture_airefinery-sdk/air/distiller/executor/google_executor.py
air.distiller.executor.google_executor.GoogleExecutor
import json import asyncio from air.distiller.executor.executor import Executor from air.types.distiller.executor.google_config import GoogleAgentConfig from typing import Any, Callable, Dict, Optional class GoogleExecutor(Executor): """Executor class for GoogleAgent leveraging Vertex AI Agents. This class ex...
class GoogleExecutor(Executor): '''Executor class for GoogleAgent leveraging Vertex AI Agents. This class extends the generic `Executor` to provide functionality for interacting with Google Vertex AI's agent engines. It requires a valid `resource_name` in `utility_config` to fetch a Vertex AI agent eng...
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Accenture/airefinery-sdk
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/Accenture_airefinery-sdk/air/distiller/executor/human_executor.py
air.distiller.executor.human_executor.HumanExecutor
from air.types.distiller.executor.human_config import HumanAgentConfig from typing import Any, Callable, Dict, Union from air.distiller.executor.executor import Executor import asyncio class HumanExecutor(Executor): """ Executor for the HumanAgent. Prompts the user for input when a 'wait' status is received. ...
class HumanExecutor(Executor): ''' Executor for the HumanAgent. Prompts the user for input when a 'wait' status is received. This class determines how the input is collected (via terminal or a custom function), and sends the user’s response back through an asyncio queue to downstream agents. ''' ...
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Accenture/airefinery-sdk
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/Accenture_airefinery-sdk/air/distiller/executor/mcp_executor.py
air.distiller.executor.mcp_executor.MCPExecutor
from typing import Any, Callable, Dict, List, Optional import asyncio from air.distiller.executor.executor import Executor from air.types.distiller.executor.mcp_config import MCPClientAgentConfig import json class MCPExecutor(Executor): """ Executor for MCPClientAgent. """ agent_class: str = 'MCPClient...
class MCPExecutor(Executor): ''' Executor for MCPClientAgent. ''' def __init__(self, func: Dict[str, Callable], send_queue: asyncio.Queue, account: str, project: str, uuid: str, role: str, utility_config: Dict[str, Any], return_string: bool=True) -> None: pass async def _json_tools(self) ...
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Accenture/airefinery-sdk
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/Accenture_airefinery-sdk/air/distiller/executor/salesforce_executor.py
air.distiller.executor.salesforce_executor.SalesforceExecutor
from typing import Any, Callable, Dict from air.distiller.executor.executor import Executor import uuid from air.types.distiller.executor.salesforce_config import SalesforceAgentConfig import asyncio class SalesforceExecutor(Executor): """ Executor class for Salesforce Agent. """ agent_class: str = 'Sa...
class SalesforceExecutor(Executor): ''' Executor class for Salesforce Agent. ''' def __init__(self, func: Dict[str, Callable], send_queue: asyncio.Queue, account: str, project: str, uuid: str, role: str, utility_config: Dict[str, Any], return_string: bool=True): ''' Initializes the...
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Accenture/airefinery-sdk
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/Accenture_airefinery-sdk/air/distiller/executor/salesforce_executor.py
air.distiller.executor.salesforce_executor.SalesforceSessionManager
import os import requests import uuid class SalesforceSessionManager: """ Manages the Salesforce agent session lifecycle. """ def __init__(self, domain, agent_id, token): """ Initializes the SalesforceSessionManager. Args: domain: The Salesforce orgfarm domain URL....
class SalesforceSessionManager: ''' Manages the Salesforce agent session lifecycle. ''' def __init__(self, domain, agent_id, token): ''' Initializes the SalesforceSessionManager. Args: domain: The Salesforce orgfarm domain URL. agent_id: The identifier o...
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Accenture/airefinery-sdk
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/Accenture_airefinery-sdk/air/distiller/executor/sap_executor.py
air.distiller.executor.sap_executor.SAPExecutor
import httpx from air.types.distiller.executor.sap_config import SAPAgentConfig import asyncio from air.distiller.executor.executor import Executor from typing import Any, Callable, Dict class SAPExecutor(Executor): """ Executor class for SAP Agent. """ agent_class: str = 'SAPAgent' def __init__(s...
class SAPExecutor(Executor): ''' Executor class for SAP Agent. ''' def __init__(self, func: Dict[str, Callable], send_queue: asyncio.Queue, account: str, project: str, uuid: str, role: str, utility_config: Dict[str, Any], return_string: bool=True): '''Initializes the SAP Executor. ...
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Accenture/airefinery-sdk
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/Accenture_airefinery-sdk/air/distiller/executor/tool_executor.py
air.distiller.executor.tool_executor.ToolExecutor
import json import inspect from typing import Callable, Dict, Any, get_type_hints import asyncio from air.distiller.executor.executor import Executor class ToolExecutor(Executor): """Executor class for ToolUseAgent. Extends Executor to support multiple tool functions. """ agent_class: str = 'ToolUseAg...
class ToolExecutor(Executor): '''Executor class for ToolUseAgent. Extends Executor to support multiple tool functions. ''' def __init__(self, func: Dict[str, Callable], send_queue: asyncio.Queue, account: str, project: str, uuid: str, role: str, utility_config: Dict[str, Any], return_string: bool=True...
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Accenture/airefinery-sdk
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/Accenture_airefinery-sdk/air/distiller/executor/vector_search_executor.py
air.distiller.executor.vector_search_executor.CustomVectorSearchExecutor
import asyncio from air.distiller.executor.executor import Executor from typing import Any, Callable, Dict class CustomVectorSearchExecutor(Executor): """Executor class for ResearchAgent. Extends Executor to support multiple retriever functions based on retriever types. """ agent_class: str = 'Resear...
class CustomVectorSearchExecutor(Executor): '''Executor class for ResearchAgent. Extends Executor to support multiple retriever functions based on retriever types. ''' def __init__(self, func: Dict[str, Callable], send_queue: asyncio.Queue, account: str, project: str, uuid: str, role: str, utility_con...
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Accenture/airefinery-sdk
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air.distiller.executor.writer_executor.WriterExecutor
from typing import Any, Callable, Dict from httpx import Response from air.distiller.executor.executor import Executor from air.types.distiller.executor.writer_config import WriterAIAgentConfig import os import json import requests import asyncio class WriterExecutor(Executor): """Executor class for Writer Web Age...
class WriterExecutor(Executor): '''Executor class for Writer Web Agent leveraging Writer AI's agent engines. This class extends the generic `Executor` to provide functionality for interacting with an Writer AI agent via its Web UI creation mode. ''' def __init__(self, func: Dict[str, Callable], se...
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Accenture/airefinery-sdk
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/Accenture_airefinery-sdk/air/distiller/pii_handler/pii_handler.py
air.distiller.pii_handler.pii_handler.PIIHandler
import re from pathlib import Path from presidio_analyzer import AnalyzerEngine, RecognizerResult import logging from omegaconf import OmegaConf from presidio_anonymizer import AnonymizerEngine, DeanonymizeEngine from typing import Any, Dict, List, Optional, Tuple class PIIHandler: """ A class for handling PII...
class PIIHandler: ''' A class for handling PII detection, masking, and demasking using Microsoft Presidio. ''' def __init__(self, language: str='en', config_path: str='pii_handler.yaml') -> None: ''' Initialize the PII handler. Args: language: Language to use fo...
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Accenture/airefinery-sdk
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/Accenture_airefinery-sdk/air/distiller/pii_handler/pii_handler.py
air.distiller.pii_handler.pii_handler.PIIMetadata
from pydantic import BaseModel class PIIMetadata(BaseModel): """Model for PII masking metadata.""" mapping_key: str original_text: str entity_type: str operator: str start: int end: int placeholder: str
class PIIMetadata(BaseModel): '''Model for PII masking metadata.''' pass
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Accenture/airefinery-sdk
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/Accenture_airefinery-sdk/air/embeddings/client.py
air.embeddings.client.AsyncEmbeddingsClient
import aiohttp from air.types import CreateEmbeddingResponse from air import __version__ class AsyncEmbeddingsClient: """ An asynchronous client for the embedding create endpoint. This class handles sending requests to the embedding create endpoint and converts the responses into Pydantic models for t...
class AsyncEmbeddingsClient: ''' An asynchronous client for the embedding create endpoint. This class handles sending requests to the embedding create endpoint and converts the responses into Pydantic models for type safety. ''' def __init__(self, base_url: str, api_key: str, default_headers: ...
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Accenture/airefinery-sdk
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/Accenture_airefinery-sdk/air/embeddings/client.py
air.embeddings.client.EmbeddingsClient
from air import __version__ from air.types import CreateEmbeddingResponse import requests class EmbeddingsClient: """ A synchronous client for the embedding create endpoint. This class handles sending requests to the embedding create endpoint and converts the responses into Pydantic models for type sa...
class EmbeddingsClient: ''' A synchronous client for the embedding create endpoint. This class handles sending requests to the embedding create endpoint and converts the responses into Pydantic models for type safety. ''' def __init__(self, base_url: str, api_key: str, default_headers: dict[st...
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Accenture/airefinery-sdk
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/Accenture_airefinery-sdk/air/images/client.py
air.images.client.AsyncImagesClient
from air import __version__ import aiohttp from air.types.constants import DEFAULT_TIMEOUT from air.types import ImagesResponse, SegmentationResponse class AsyncImagesClient: """ An asynchronous client for the image endpoint. This class handles sending requests to the image endpoint and converts the r...
class AsyncImagesClient: ''' An asynchronous client for the image endpoint. This class handles sending requests to the image endpoint and converts the responses into Pydantic models for type safety. ''' def __init__(self, base_url: str, api_key: str, default_headers: dict[str, str] | None=None...
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