text stringlengths 185 73.3k | repo stringlengths 7 100 | path stringlengths 4 146 | language stringclasses 7
values | hash stringlengths 16 16 | score float64 7 8.5 | stars int64 0 237k |
|---|---|---|---|---|---|---|
#!/usr/bin/env python3
"""
存储后端数据迁移脚本
用法：
python scripts/migrate_storage.py --from json --to postgres
python scripts/migrate_storage.py --from postgres --to git
python scripts/migrate_storage.py --export accounts.json
python scripts/migrate_storage.py --import accounts.json
"""
import argparse
import json
imp... | pocongtobat008/ai-hub-gateway | scripts/migrate_storage.py | .py | 9e9b284b116c3cf4 | 7 | 0 |
"""Bansos provider — connects to bansos-router daemon for free keyless models."""
from __future__ import annotations
import json
import logging
import time
import uuid
import threading
from typing import Any, Iterator
import httpx
logger = logging.getLogger(__name__)
REQUEST_TIMEOUT = 60.0
# Free models seeded fro... | pocongtobat008/ai-hub-gateway | services/bansos_provider.py | .py | 8459771a311f7942 | 7 | 0 |
from __future__ import annotations
import re
from curl_cffi import requests
from fastapi import HTTPException
from services.config import config
from services.proxy_service import proxy_settings
from utils.log import logger
DEFAULT_REVIEW_PROMPT = "判断用户请求是否允许。只回答 ALLOW 或 REJECT。"
# Strip base64 image data URIs bef... | pocongtobat008/ai-hub-gateway | services/content_filter.py | .py | d172fda57c492421 | 7 | 0 |
"""Custom provider — round-robin OpenAI-compatible API with model validation."""
from __future__ import annotations
import json
import logging
import time
import uuid
import threading
from typing import Any, Iterator
import httpx
from services.custom_account_service import (
get_all_endpoints,
get_credential... | pocongtobat008/ai-hub-gateway | services/custom_provider.py | .py | 03f9818e6e494650 | 7 | 0 |
"""In-memory conversation memory for session-based chat continuity."""
from __future__ import annotations
import threading
import time
from dataclasses import dataclass, field
@dataclass
class ChatMessage:
role: str # "user" or "assistant"
content: str
timestamp: float = field(default_factory=t... | Aadhithya-balu/Saksha_Datathon | backend/app/ai/chat/memory.py | .py | 0d19abe2cd838925 | 7.35 | 4 |
"""Vector retrieval augmentation for the AI chat pipeline (issue #122).
Bridges the database-grounded RAG stack (`build_rag_documents` + in-memory
vector store) into `ChatOrchestrator`, so free-text questions recall relevant
FIRs, criminals, evidence, and cases even when intent routing has no exact
structured match. S... | Aadhithya-balu/Saksha_Datathon | backend/app/ai/chat/rag_retriever.py | .py | 69315abace920f26 | 7.35 | 4 |
from __future__ import annotations
from dataclasses import dataclass
from typing import Any
import numpy as np
@dataclass(frozen=True)
class AnomalyFeatureVector:
feature_names: list[str]
values: np.ndarray
def build_anomaly_features(event: dict[str, Any]) -> AnomalyFeatureVector:
"""Create a fixed-si... | Aadhithya-balu/Saksha_Datathon | backend/app/ai/features/anomaly/feature_engineering.py | .py | 3f93aff7d9cb9dda | 7.35 | 4 |
from __future__ import annotations
from dataclasses import dataclass
import json
from pathlib import Path
from typing import Any
import numpy as np
@dataclass(frozen=True)
class AnomalyExplanation:
top_features: list[dict[str, Any]]
score: float
threshold: float
is_anomaly: bool
@dataclass(frozen=... | Aadhithya-balu/Saksha_Datathon | backend/app/ai/models/anomaly/model.py | .py | 6ba59814ca769115 | 7.35 | 4 |
"""
SAKSHA – Hotspot Prediction Evaluation
Responsibilities
----------------
- RMSE, MAE, R²
- Feature importance (gain)
- SHAP values summary
- Returns structured evaluation report dict
No training. No inference. No FastAPI.
"""
from __future__ import annotations
import logging
from typing import Any
import numpy... | Aadhithya-balu/Saksha_Datathon | backend/app/ai/pipelines/hotspot/evaluate.py | .py | 90b9d59d2e16b1ed | 7.35 | 4 |
"""
SAKSHA – Hotspot Model Artifact Serialization
Responsibilities
----------------
- joblib serialization of trained model
- feature_columns.json
- model_metadata.json (includes training_rows, rmse, mae, r2)
- training_metrics.json
No training. No inference. No FastAPI.
"""
from __future__ import annotations
impo... | Aadhithya-balu/Saksha_Datathon | backend/app/ai/pipelines/hotspot/save_model.py | .py | bcb6c2774bb8788e | 7.35 | 4 |
"""
SAKSHA – Risk & Forecast Model Evaluation
Shared evaluation utilities for both DistrictRiskModel and DistrictForecastModel.
No training. No inference. No FastAPI.
"""
from __future__ import annotations
import logging
from typing import Any
import numpy as np
from sklearn.metrics import mean_absolute_error, mean... | Aadhithya-balu/Saksha_Datathon | backend/app/ai/pipelines/risk/evaluate.py | .py | d3e6eb96497c1dbd | 7.35 | 4 |
# community_data.py
"""
Community-driven data sharing for Green Agent.
Users can optionally contribute anonymized data to improve simulations.
"""
import json
from pathlib import Path
from datetime import datetime
class CommunityDataHub:
"""
Optional community data sharing.
Users can choose to cont... | NurcholishAdam/Green_Agent | community_data.py | .py | 00edfe4289d9adfe | 7.15 | 1 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Demo: Neuro-Symbolic Oversight for Green Agent
Demonstrates the symbolic reasoning engine with formal rule evaluation
and violation trace generation.
"""
import json
from src.symbolic.symbolic_reasoning_engine import SymbolicReasoningEngine
from src.dashboard.symboli... | NurcholishAdam/Green_Agent | demo_symbolic_oversight.py | .py | c84bf0f09d9669d1 | 7.15 | 1 |
"""
docker_metrics_collector.py
Collects runtime, memory, and CPU-based energy metrics
from inside a Docker container for green benchmarking.
"""
import os
import time
import statistics
from typing import Callable, Dict, List
class DockerMetricsCollector:
def __init__(
self,
carb... | NurcholishAdam/Green_Agent | docker_metrics_collector.py | .py | 8809709c0c3b0f58 | 7.15 | 1 |
# File: quantum_integration/error_mitigation/quantum_error_mitigator.py
import pennylane as qml
from pennylane import numpy as np
from typing import List, Dict, Tuple, Optional
from dataclasses import dataclass
from enum import Enum
import numpy as np
class ErrorType(Enum):
DEPOLARIZING = "depolarizing"
DEPHA... | NurcholishAdam/Green_Agent | quantum_integration/error_mitigation/quantum_error_mitigator.py | .py | 931c525ff485d7f6 | 7.15 | 1 |
# File: quantum_integration/multi_agent/quantum_multi_agent_rl.py
import asyncio
from typing import Dict, List, Tuple
from dataclasses import dataclass, field
from enum import Enum
import numpy as np
import pennylane as qml
class AgentRole(Enum):
SCHEDULER = "scheduler"
OPTIMIZER = "optimizer"
MONITOR = "... | NurcholishAdam/Green_Agent | quantum_integration/multi_agent/quantum_multi_agent_rl.py | .py | 2b9e2623607b2766 | 7.15 | 1 |
# -*- coding: utf-8 -*-
"""
AutoGen Agent Adapter
Adapter for Microsoft AutoGen agents
"""
from typing import Dict, Any
import logging
from .base_adapter import BaseAgentAdapter
logger = logging.getLogger(__name__)
class AutoGenAdapter(BaseAgentAdapter):
"""
Adapter for Microsoft AutoGen agen... | NurcholishAdam/Green_Agent | quantum_integration/quantum-limit-graph-v2.4.0/limit-agentbench/adapters/autogen_adapter.py | .py | ee78351bde59bbb6 | 7.15 | 1 |
"""
Adapter implementation for AutoGen-style agents.
Captures message graph depth and conversation complexity as part of metrics.
"""
from typing import Dict, Any
from .base_runtime import BaseRuntimeAdapter
import time
class AutoGenRuntime(BaseRuntimeAdapter):
def init(self, config: Dict[str, Any]) -> None:
... | NurcholishAdam/Green_Agent | quantum_integration/quantum-limit-graph-v2.4.0/limit-agentbench/adapters/autogen_runtime.py | .py | 79de6babf62f0be8 | 7.15 | 1 |
# -*- coding: utf-8 -*-
"""
Base Agent Adapter
Abstract base class for framework-specific adapters
"""
from abc import ABC, abstractmethod
from typing import Dict, Any, Optional
import logging
logger = logging.getLogger(__name__)
class BaseAgentAdapter(ABC):
"""
Abstract base class for agent ... | NurcholishAdam/Green_Agent | quantum_integration/quantum-limit-graph-v2.4.0/limit-agentbench/adapters/base_adapter.py | .py | 9d971e91e6da615e | 7.15 | 1 |
"""
Base adapter for framework runtimes.
Defines the interface that all runtime adapters must implement.
"""
from abc import ABC, abstractmethod
from typing import Dict, Any
class BaseRuntimeAdapter(ABC):
@abstractmethod
def init(self, config: Dict[str, Any]) -> None:
"""Initialize the runtime with co... | NurcholishAdam/Green_Agent | quantum_integration/quantum-limit-graph-v2.4.0/limit-agentbench/adapters/base_runtime.py | .py | e090cf9e4617d161 | 7.15 | 1 |
# -*- coding: utf-8 -*-
"""
CrewAI Agent Adapter
Adapter for CrewAI role-based agents
"""
from typing import Dict, Any
import logging
from .base_adapter import BaseAgentAdapter
logger = logging.getLogger(__name__)
class CrewAIAdapter(BaseAgentAdapter):
"""
Adapter for CrewAI agents.
... | NurcholishAdam/Green_Agent | quantum_integration/quantum-limit-graph-v2.4.0/limit-agentbench/adapters/crewai_adapter.py | .py | a13805ccc6442be3 | 7.15 | 1 |
# -*- coding: utf-8 -*-
"""
LangChain Agent Adapter
Adapter for LangChain/LangGraph agents
"""
from typing import Dict, Any
import logging
from .base_adapter import BaseAgentAdapter
logger = logging.getLogger(__name__)
class LangChainAdapter(BaseAgentAdapter):
"""
Adapter for LangChain and La... | NurcholishAdam/Green_Agent | quantum_integration/quantum-limit-graph-v2.4.0/limit-agentbench/adapters/langchain_adapter.py | .py | cd615d648ddb9936 | 7.15 | 1 |
"""
Adapter implementation for LangChain-based agents.
Integrates LangChain execution into the multi-metric evaluation pipeline.
"""
from typing import Dict, Any
from .base_runtime import BaseRuntimeAdapter
import time
class LangChainRuntime(BaseRuntimeAdapter):
def init(self, config: Dict[str, Any]) -> None:
... | NurcholishAdam/Green_Agent | quantum_integration/quantum-limit-graph-v2.4.0/limit-agentbench/adapters/langchain_runtime.py | .py | 4254ba7682963039 | 7.15 | 1 |
# -*- coding: utf-8 -*-
"""
LIMIT-GRAPH Agent Adapter
Adapter for native LIMIT-GRAPH quantum agents
"""
from typing import Dict, Any
import logging
from .base_adapter import BaseAgentAdapter
logger = logging.getLogger(__name__)
class LimitGraphAdapter(BaseAgentAdapter):
"""
Adapter for native... | NurcholishAdam/Green_Agent | quantum_integration/quantum-limit-graph-v2.4.0/limit-agentbench/adapters/limit_graph_adapter.py | .py | 7ac40fe1688855e9 | 7.15 | 1 |
# -*- coding: utf-8 -*-
"""
Feedback Integration & Audit Logger
Tracks expert invocations, feedback integration, and sustainability metrics.
Provides transparency reports for accountability.
"""
from typing import Dict, List, Any, Optional
from dataclasses import dataclass, asdict
from enum import Enum
from datetime ... | NurcholishAdam/Green_Agent | quantum_integration/quantum-limit-graph-v2.4.0/limit-agentbench/audit_layer/audit_logger.py | .py | eddd645e380a1e48 | 7.15 | 1 |
# -*- coding: utf-8 -*-
"""
Human-in-the-Loop Portal & Expert Collaboration System Integration
Provides interface for human reviewers and integrates all expert collaboration
components into a unified system.
"""
from typing import Dict, List, Any, Optional, Callable
from dataclasses import dataclass, asdict
from enum... | NurcholishAdam/Green_Agent | quantum_integration/quantum-limit-graph-v2.4.0/limit-agentbench/audit_layer/expert_collaboration_system.py | .py | bf0baa5a167051dd | 7.15 | 1 |
# -*- coding: utf-8 -*-
"""
A2A Protocol Gateway - AgentBeats Compliance Layer
Validates and transforms agent I/O to A2A standard format
"""
from typing import Dict, Any, Optional, List
from dataclasses import dataclass
from enum import Enum
import json
from datetime import datetime
class A2AVersion(Enu... | NurcholishAdam/Green_Agent | quantum_integration/quantum-limit-graph-v2.4.0/limit-agentbench/core/a2a_gateway.py | .py | 3e26a33f21ae3e41 | 7.15 | 1 |
# -*- coding: utf-8 -*-
"""
Agent Evaluator
Unified evaluation framework for agents across different frameworks
"""
from typing import Dict, Any, List, Optional
import logging
from .agentbench_adapter import AgentBenchAdapter
from .green_metrics import GreenMetricsTracker
logger = logging.getLogger(__name_... | NurcholishAdam/Green_Agent | quantum_integration/quantum-limit-graph-v2.4.0/limit-agentbench/core/agent_evaluator.py | .py | 43f98bdab2dcd4e7 | 7.15 | 1 |
# -*- coding: utf-8 -*-
"""
AgentBench Protocol Adapter
Provides standardized interface compatible with AgentBench protocol
"""
import json
import hashlib
from typing import Dict, Any, List, Optional
from datetime import datetime
import logging
logger = logging.getLogger(__name__)
class AgentBenchAda... | NurcholishAdam/Green_Agent | quantum_integration/quantum-limit-graph-v2.4.0/limit-agentbench/core/agentbench_adapter.py | .py | 75518969eefd03e7 | 7.15 | 1 |
# -*- coding: utf-8 -*-
"""
Benchmark Harness
Orchestration engine for running comprehensive benchmarks
"""
import json
from typing import Dict, Any, List, Optional
from pathlib import Path
import logging
from datetime import datetime
from .agent_evaluator import AgentEvaluator
from .agentbench_adapter i... | NurcholishAdam/Green_Agent | quantum_integration/quantum-limit-graph-v2.4.0/limit-agentbench/core/benchmark_harness.py | .py | 938b69ad694a4a9c | 7.15 | 1 |
# -*- coding: utf-8 -*-
"""
Docker Orchestrator - Independent Execution Manager
Manages containerized agent execution for AgentBeats compliance
"""
import json
import subprocess
import time
from typing import Dict, Any, Optional
from pathlib import Path
from dataclasses import dataclass
@dataclass
cla... | NurcholishAdam/Green_Agent | quantum_integration/quantum-limit-graph-v2.4.0/limit-agentbench/core/docker_orchestrator.py | .py | b7251cc270b652e8 | 7.15 | 1 |
# Update src/core/green_metrics.py
from analysis.complexity_analyzer import ComplexityAnalyzer
from metrics.efficiency_calculator import NormalizedEfficiencyCalculator
class GreenMetricsTracker:
def __init__(self):
self.complexity_analyzer = ComplexityAnalyzer()
self.efficiency_calc = Norm... | NurcholishAdam/Green_Agent | quantum_integration/quantum-limit-graph-v2.4.0/limit-agentbench/core/green_metrics.py | .py | e95ade394d8b428f | 7.15 | 1 |
# -*- coding: utf-8 -*-
"""
RLHF Feedback Engine - Reasoning Trace Analysis
Generates detailed feedback for agent improvement based on RLHF research
"""
from typing import Dict, Any, List, Optional, Tuple
from dataclasses import dataclass
from enum import Enum
import json
import re
class ReasoningQualit... | NurcholishAdam/Green_Agent | quantum_integration/quantum-limit-graph-v2.4.0/limit-agentbench/core/rlhf_feedback_engine.py | .py | c5319aa03af2bccb | 7.15 | 1 |
# -*- coding: utf-8 -*-
"""
Carbon Dashboard
Carbon footprint visualization (placeholder for future implementation)
"""
import logging
logger = logging.getLogger(__name__)
class CarbonDashboard:
"""
Carbon footprint dashboard.
Placeholder for future visualization implementation.
... | NurcholishAdam/Green_Agent | quantum_integration/quantum-limit-graph-v2.4.0/limit-agentbench/dashboard/carbon_dashboard.py | .py | 856d9bef724d7b65 | 7.15 | 1 |
# -*- coding: utf-8 -*-
"""
Comparison Matrix
Cross-framework comparison visualization (placeholder for future implementation)
"""
import logging
logger = logging.getLogger(__name__)
class ComparisonMatrix:
"""
Cross-framework comparison matrix.
Placeholder for future visualization i... | NurcholishAdam/Green_Agent | quantum_integration/quantum-limit-graph-v2.4.0/limit-agentbench/dashboard/comparison_matrix.py | .py | d200769b9fae2387 | 7.15 | 1 |
# -*- coding: utf-8 -*-
"""
Energy Visualizer
Energy consumption visualization (placeholder for future implementation)
"""
import logging
logger = logging.getLogger(__name__)
class EnergyVisualizer:
"""
Energy consumption visualizer.
Placeholder for future visualization implementatio... | NurcholishAdam/Green_Agent | quantum_integration/quantum-limit-graph-v2.4.0/limit-agentbench/dashboard/energy_visualizer.py | .py | 8f65f834c790339d | 7.15 | 1 |
# -*- coding: utf-8 -*-
"""
Green Leaderboard
Unified leaderboard with green metrics
"""
import json
from typing import Dict, List, Any, Optional
from pathlib import Path
from datetime import datetime
import logging
logger = logging.getLogger(__name__)
class GreenLeaderboard:
"""
Unified gr... | NurcholishAdam/Green_Agent | quantum_integration/quantum-limit-graph-v2.4.0/limit-agentbench/dashboard/green_leaderboard.py | .py | 6b732c80d7c4a75f | 7.15 | 1 |
# -*- coding: utf-8 -*-
"""
AgentBeats Complete Integration Demo
Demonstrates all four pillars: A2A Compliance, Independence, Robust Scoring, RLHF Feedback
"""
import time
import json
from typing import Dict, Any, Optional
from pathlib import Path
# Import AgentBeats components
from core.a2a_gateway impor... | NurcholishAdam/Green_Agent | quantum_integration/quantum-limit-graph-v2.4.0/limit-agentbench/demo_agentbeats_integration.py | .py | c5741d14bdebaa39 | 7.15 | 1 |
# -*- coding: utf-8 -*-
"""
Demo: Green Agent Benchmarking
Demonstrates the LIMIT-AgentBench platform capabilities
"""
import sys
import logging
from typing import Dict, Any
# Setup logging
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
logger = logg... | NurcholishAdam/Green_Agent | quantum_integration/quantum-limit-graph-v2.4.0/limit-agentbench/demo_green_benchmark.py | .py | 954188f737d0a811 | 7.15 | 1 |
"""
docker_metrics_collector.py
Collects runtime, memory, and CPU-based energy metrics
from inside a Docker container for green benchmarking.
"""
import os
import time
import statistics
from typing import Callable, Dict, List
class DockerMetricsCollector:
def __init__(
self,
carbon_intensity: fl... | NurcholishAdam/Green_Agent | quantum_integration/quantum-limit-graph-v2.4.0/limit-agentbench/docker_metrics_collector.py | .py | fef066f216af6e17 | 7.15 | 1 |
"""first
Revision ID: b2437a6523e3
Revises:
Create Date: 2022-10-28 09:35:00.424510
"""
import sqlalchemy as sa
from alembic import op
from sqlalchemy import func
# revision identifiers, used by Alembic.
revision = "b2437a6523e3"
down_revision = None
branch_labels = None
depends_on = None
def _create_updated_at_t... | RaoSharifMansoob/fastapi-cicd-demo | app/database/migraions/versions/b2437a6523e3_first.py | .py | 66d99635b885b5fe | 7 | 0 |
from sqlalchemy.exc import DatabaseError
from sqlalchemy.ext.asyncio import AsyncSession
from app.utils import AppExceptionCase
class BaseRepository:
"""Base Repository for all repositories."""
def __init__(self, conn: AsyncSession) -> None:
self._conn = conn
@property
def connection(self) ... | RaoSharifMansoob/fastapi-cicd-demo | app/database/repositories/base.py | .py | 80f6573cdbed6073 | 7 | 0 |
from fastapi import Request, status
from fastapi.responses import JSONResponse
from app.schemas.message import ErrorResponse
ERROR_RESPONSES = {
status.HTTP_400_BAD_REQUEST: {
"model": ErrorResponse,
"content": {
"application/json": {
"example": {
"a... | RaoSharifMansoob/fastapi-cicd-demo | app/utils/app_exceptions.py | .py | f648886947c07a19 | 7 | 0 |
"""Stock-firmware BLE protocol for the Arcade Coder.
Reverse engineering credit: the awesome-arcade-coder community and
LightyCoderDoodad (github.com/diggedypomme/LightyCoderDoodad).
"""
from __future__ import annotations
import struct
import zlib
SERVICE_UUID = "778d5426-fa29-4363-91fd-a9f5cfcfce85"
COMMAND_CHAR =... | hansstam86/arcade-coder-games | arcadecoder/protocol.py | .py | ccffbb5fba47dda8 | 7 | 0 |
"""Backend-independent game loop shared by the emulator and BLE runners."""
from __future__ import annotations
import time
from . import Game, Screen
class GameLoop:
"""Drives a Game: instantiate, tick, deliver presses, auto-restart."""
def __init__(self, game_cls: type[Game]) -> None:
self.game_c... | hansstam86/arcade-coder-games | arcadecoder/runner.py | .py | 8befa4c01381fd14 | 7 | 0 |
#!/usr/bin/env python3
"""Diagnostic session against the Arcade Coder: services, testmode, known-good canvas."""
import asyncio
import json
import time
from pathlib import Path
from bleak import BleakClient
from minesweeper import (
CALLBACK_CHAR,
COMMAND_CHAR,
SERVICE_UUID,
cmd_paint_frame,
cmd_s... | hansstam86/arcade-coder-games | debug_board.py | .py | d14424f54ab68733 | 7 | 0 |
#!/usr/bin/env python3
"""Chase — the smallest possible arcadecoder game.
A green target sits somewhere; press it to score and it jumps elsewhere.
You have 15 seconds. Run with `python examples/chase.py` (emulator) or
`python examples/chase.py --hw` (real board).
"""
import random
from arcadecoder import Game, run
... | hansstam86/arcade-coder-games | docs/py/examples/chase.py | .py | 32893ed5a9327445 | 7 | 0 |
#!/usr/bin/env python3
"""Chase — the smallest possible arcadecoder game.
A green target sits somewhere; press it to score and it jumps elsewhere.
You have 15 seconds. Run with `python examples/chase.py` (emulator) or
`python examples/chase.py --hw` (real board).
"""
import random
import sys
from pathlib import Path
... | hansstam86/arcade-coder-games | examples/chase.py | .py | d897daafada80917 | 7 | 0 |
"""experiments table
Revision ID: 0002
Revises: 0001
Create Date: 2026-08-25
"""
import sqlalchemy as sa
from alembic import op
from sqlalchemy.dialects import postgresql
revision = "0002"
down_revision = "0001"
branch_labels = None
depends_on = None
def upgrade():
op.create_table(
"experiments",
... | siddharthgaur1/openeval | backend/alembic/versions/0002_experiments.py | .py | f8a5f8498bcbcb2e | 7 | 0 |
"""eval run row-level progress + failure tracking
Revision ID: 0003
Revises: 0002
Create Date: 2026-08-25
"""
import sqlalchemy as sa
from alembic import op
revision = "0003"
down_revision = "0002"
branch_labels = None
depends_on = None
def upgrade():
op.add_column("eval_runs", sa.Column("total_rows", sa.Integ... | siddharthgaur1/openeval | backend/alembic/versions/0003_eval_progress.py | .py | 9518c0b866f6811b | 7 | 0 |
"""webhooks table
Revision ID: 0004
Revises: 0003
Create Date: 2026-08-25
"""
import sqlalchemy as sa
from alembic import op
from sqlalchemy.dialects import postgresql
revision = "0004"
down_revision = "0003"
branch_labels = None
depends_on = None
def upgrade():
op.create_table(
"webhooks",
sa.... | siddharthgaur1/openeval | backend/alembic/versions/0004_webhooks.py | .py | 42c74e47e55c4530 | 7 | 0 |
"""Scope traces/datasets/prompt_templates/eval_runs/experiments/webhooks to a
project instead of directly to a user - the multi-tenancy retrofit.
Adds project_id nullable, backfills a personal Organization + "default" Project
for every existing user who doesn't already have one (matching
services.organization_service.... | siddharthgaur1/openeval | backend/alembic/versions/0008_project_scoping.py | .py | cefc283519454925 | 7 | 0 |
"""Add a scope column (read/write/admin) to api_keys and enforce it - previously
every API key had unrestricted access regardless of what scope the caller
requested at creation time (the field wasn't even stored).
Existing keys backfill to "write" (their previous de-facto behavior minus
admin-only actions), so this mi... | siddharthgaur1/openeval | backend/alembic/versions/0009_api_key_scope.py | .py | a44e62f334d491c1 | 7 | 0 |
from fastapi import Depends, HTTPException, Request, status
from fastapi.security import HTTPAuthorizationCredentials, HTTPBearer
from sqlalchemy.orm import Session
from core.config import settings
from core.database import get_db
from core.security import decode_access_token, verify_api_key
from models.user import AP... | siddharthgaur1/openeval | backend/api/deps.py | .py | cbf253a39d86ac7d | 7 | 0 |
from fastapi import APIRouter, Depends
from sqlalchemy.orm import Session
from api.deps import get_current_user
from core.database import get_db
from models.organization import Membership
from models.project import Project
from models.user import User
from schemas.organization import ProjectOut
from services.organizat... | siddharthgaur1/openeval | backend/api/projects.py | .py | c03653bc642eea02 | 7 | 0 |
from datetime import datetime
from uuid import UUID
from fastapi import Depends, HTTPException, status
from sqlalchemy.orm import Session
from api.deps import get_current_user
from core.database import get_db
from models.eval import EvalRun
from models.organization import ROLE_RANK, Membership
from models.project imp... | siddharthgaur1/openeval | backend/api/rbac.py | .py | f65cb3b7dcf2b2c6 | 7 | 0 |
from abc import ABC, abstractmethod
class Evaluator(ABC):
name: str
@abstractmethod
def score(self, *, input: str, output: str, expected_output: str | None, context: str | None, judge_model: str) -> float:
"""Return a score in [0, 1]."""
raise NotImplementedError
def split_context(conte... | siddharthgaur1/openeval | backend/evaluators/base.py | .py | 15304f3691c31b42 | 7 | 0 |
import litellm
from deepeval.models.base_model import DeepEvalBaseLLM
class LiteLLMDeepEvalModel(DeepEvalBaseLLM):
"""Adapts any litellm-supported model (openai/anthropic/gemini/ollama/...) to
DeepEval's model interface, so DeepEval metrics use the same judge_model the
rest of the eval engine is configure... | siddharthgaur1/openeval | backend/evaluators/deepeval_llm.py | .py | d56e40fbfffce32c | 7 | 0 |
from deepeval.metrics import FaithfulnessMetric
from deepeval.test_case import LLMTestCase
from evaluators.base import Evaluator, split_context
from evaluators.deepeval_llm import LiteLLMDeepEvalModel
class FaithfulnessEvaluator(Evaluator):
"""RAG groundedness: does every claim in the answer trace back to the re... | siddharthgaur1/openeval | backend/evaluators/faithfulness.py | .py | 4461f7e320eed9db | 7 | 0 |
from deepeval.metrics import HallucinationMetric
from deepeval.test_case import LLMTestCase
from evaluators.base import Evaluator, split_context
from evaluators.deepeval_llm import LiteLLMDeepEvalModel
class HallucinationEvaluator(Evaluator):
"""Does the answer contradict or invent facts beyond the known source ... | siddharthgaur1/openeval | backend/evaluators/hallucination.py | .py | 20059189b255289b | 7 | 0 |
"""RAG context-quality metrics from the original RAGAS metric set.
context_precision / context_recall are backed by DeepEval's ContextualPrecisionMetric /
ContextualRecallMetric (the same algorithms RAGAS implements: LLM-judged relevance/
attribution of each retrieved chunk against the expected answer).
context_entit... | siddharthgaur1/openeval | backend/evaluators/rag_context.py | .py | 1fd31434f09e27f5 | 7 | 0 |
from deepeval.metrics import AnswerRelevancyMetric
from deepeval.test_case import LLMTestCase
from evaluators.base import Evaluator
from evaluators.deepeval_llm import LiteLLMDeepEvalModel
class AnswerRelevanceEvaluator(Evaluator):
"""How relevant is the answer to the question? Backed by DeepEval's
AnswerRel... | siddharthgaur1/openeval | backend/evaluators/relevance.py | .py | 56e9a868c485c0de | 7 | 0 |
import uuid
from datetime import datetime
from sqlalchemy import DateTime, ForeignKey, JSON, String, Text
from sqlalchemy.dialects.postgresql import UUID
from sqlalchemy.orm import Mapped, mapped_column
from core.database import Base
class AnnotationQueueItem(Base):
"""One trace assigned to one reviewer for hum... | siddharthgaur1/openeval | backend/models/annotation.py | .py | a4616d7a59d3bd4b | 7 | 0 |
# scripts/mutate_limits.py
"""Mutate every ceiling a pull request changes, and fail on a survivor.
A constant in `analysis/limits.py` can be read by nothing any test exercises,
so moving it changes nothing observable and the suite stays green. The corrected
#259 sweep measured that over the whole module: 13 of 28 muta... | shauneccles/dbml-sharepoint | scripts/mutate_limits.py | .py | a13d5e57f6d80ba6 | 7 | 0 |
# src/dbml_sharepoint/analysis/checks/_provenance.py
"""Names the marker interpolates, and the terminator they may not hold.
The deploy tests for the marker with a substring search, which is sound only
while no marker can sit inside another. That holds only while no interpolated
name contains the terminator, so refusi... | shauneccles/dbml-sharepoint | src/dbml_sharepoint/analysis/checks/_provenance.py | .py | 31733a1269094694 | 7 | 0 |
# src/dbml_sharepoint/analysis/checks/context.py
"""Derived lookups shared by every mapping check.
Each check family needs the same handful of indexes over the schema and the
mapping. Building them once here keeps the individual checks readable and
stops two of them disagreeing about how a lookup is derived.
Everythi... | shauneccles/dbml-sharepoint | src/dbml_sharepoint/analysis/checks/context.py | .py | 62e82e80f47a0beb | 7 | 0 |
# src/dbml_sharepoint/analysis/column_refs.py
"""Column names written inside a calculated formula or a formatter JSON.
Read by rule modules under `analysis/checks/` and by `generators/jsgen.py`,
which orders Phase-1 field creation by a formula's references, so it lives
outside both packages. It is not named
`reference... | shauneccles/dbml-sharepoint | src/dbml_sharepoint/analysis/column_refs.py | .py | 95667e33b00167ec | 7 | 0 |
# src/dbml_sharepoint/analysis/forms.py
"""Composing declared form visibility into a single stored formula.
SharePoint gives a column exactly one `ClientValidationFormula`, so
per-form visibility and conditional visibility must be combined at build
time or declaring one would silently destroy the other. That compositi... | shauneccles/dbml-sharepoint | src/dbml_sharepoint/analysis/forms.py | .py | 7f8d8f4d7d141bfa | 7 | 0 |
# src/dbml_sharepoint/analysis/group_description.py
"""How a site group's Description is composed, shared by the generator and the rule.
Both sides need the same fact: the marker's exact text and the budget it
leaves for a human sentence. This module is the single spelling authority,
imported by `generators.jsgen` and... | shauneccles/dbml-sharepoint | src/dbml_sharepoint/analysis/group_description.py | .py | ce05439793fe274e | 7 | 0 |
"""How many join operations a view performs, and which of its columns pay one.
Shared for the same reason `lookups.py` is: the validator refuses a view the
platform would render blank, and `generators.jsgen` builds the one view no
author declares. Computed separately, a drift between them means a build that
passes a v... | shauneccles/dbml-sharepoint | src/dbml_sharepoint/analysis/joins.py | .py | 4496e8aef47b4be7 | 7 | 0 |
"""Which entities a lookup points at, and what such a lookup displays.
Derived in one place because two consumers read it and they must not disagree:
`analysis.checks.context` folds the answer into `effective_indexes` so the
per-list ceiling counts it, and `generators.jsgen` emits it so the deployer
creates it. Comput... | shauneccles/dbml-sharepoint | src/dbml_sharepoint/analysis/lookups.py | .py | ebe4914c214875b7 | 7 | 0 |
# src/dbml_sharepoint/analysis/ordering.py
"""Two-pass dependency resolution.
Phase 2.1: create lists in topological order, with non-lookup columns and as
many lookup columns as can be resolved (target already created).
Phase 2.2: add the remaining lookup columns (self-references, any side of a
strongly connected com... | shauneccles/dbml-sharepoint | src/dbml_sharepoint/analysis/ordering.py | .py | 10b35e5e118e4b37 | 7 | 0 |
# src/dbml_sharepoint/analysis/permissions.py
"""SP base permissions bitmask + permission-level / group / role-assignment helpers."""
from collections.abc import Iterable
from dataclasses import dataclass
from dbml_sharepoint.model.mapping_types import Mapping
# Per Microsoft.SharePoint.SPBasePermissions (64-bit uns... | shauneccles/dbml-sharepoint | src/dbml_sharepoint/analysis/permissions.py | .py | f640ded4f86d809c | 7 | 0 |
# src/dbml_sharepoint/analysis/phases.py
"""The deploy-phase manifest: THE single source of phase truth.
Group/step numbers derive from position here. Add or move a step and
every consumer renumbers automatically: deploy.js banners/Starting
lines/[Phase X.Y] prefixes/error tags (templates receive
phases_context()), th... | shauneccles/dbml-sharepoint | src/dbml_sharepoint/analysis/phases.py | .py | d0942257d54bbe09 | 7 | 0 |
# src/dbml_sharepoint/analysis/provenance.py
"""The provenance marker every provisioned object carries, and its grammar.
Three surfaces record provenance in a description: a site group, a list, and
a permission level. All three build their marker here, so a change to the
grammar reaches every surface at once and no tw... | shauneccles/dbml-sharepoint | src/dbml_sharepoint/analysis/provenance.py | .py | bc6f9db65f9a39c5 | 7 | 0 |
# src/dbml_sharepoint/analysis/rendered_columns.py
"""Which columns a provisioned SharePoint list actually has.
Every check family reads `rendered_columns`, and so does `analysis/joins.py`
(which a generator may import, unlike `analysis/checks/`), so this is a shared
fact rather than a private helper of the orchestrat... | shauneccles/dbml-sharepoint | src/dbml_sharepoint/analysis/rendered_columns.py | .py | 827181926c8ed03a | 7 | 0 |
# src/dbml_sharepoint/analysis/role_definition_description.py
"""How a permission level's Description is composed, shared by the generator and the rule.
Both sides need the same fact: the marker's exact text and the budget it
leaves for a human sentence. This module is the single spelling authority,
imported by `gener... | shauneccles/dbml-sharepoint | src/dbml_sharepoint/analysis/role_definition_description.py | .py | e1c5647e12baa7a4 | 7 | 0 |
# src/dbml_sharepoint/analysis/styles.py
"""The fleet style standard: semantic tokens + parameterised column styles.
Tokens resolve to SharePoint's OWN documented formatting classes (the
sp-field-severity--* set plus sanctioned Fluent UI background classes)
with the Learn reference's canonical Fluent icon pairings, ne... | shauneccles/dbml-sharepoint | src/dbml_sharepoint/analysis/styles.py | .py | 3c732b198b2c1132 | 7 | 0 |
# src/dbml_sharepoint/analysis/validator.py
"""Validation rules for the parsed schema."""
from collections import Counter
from dataclasses import replace
from dbml_sharepoint.analysis import typemap
from dbml_sharepoint.analysis.checks import CHECK_FAMILIES
from dbml_sharepoint.analysis.checks.context import Validati... | shauneccles/dbml-sharepoint | src/dbml_sharepoint/analysis/validator.py | .py | cb0d1b88145a74cb | 7 | 0 |
# src/dbml_sharepoint/bundle.py
"""Bundle-level packaging shared by the core and extension CLIs.
A successful build emits a fixed artifact set, the deployment bundle.
This module owns the cross-cutting concerns: the canonical artifact name
list, stale-artifact clearing, platform-stable content hashing, and the
index.m... | shauneccles/dbml-sharepoint | src/dbml_sharepoint/bundle.py | .py | 49334f6a3cb36b91 | 7 | 0 |
"""The shipped solution templates, as data the wizard can offer.
One `Solution` per directory under `solutions/`. Everything here is
read-only discovery: nothing in this module writes, validates or deploys.
Discovered by glob, never by roster. A hardcoded list of names fails open.
A new template is simply never offer... | shauneccles/dbml-sharepoint | src/dbml_sharepoint/catalogue.py | .py | 2386a8a54e3ccef2 | 7 | 0 |
# src/dbml_sharepoint/extension.py
"""The deployment-extension protocol: the hook
names, parameter order, and return types; this skeleton conforms to it.
Validation issues are reported with `analysis.findings.Finding`."""
from dataclasses import dataclass, field
from importlib.metadata import entry_points
from pathlib ... | shauneccles/dbml-sharepoint | src/dbml_sharepoint/extension.py | .py | 8260224829675b36 | 7 | 0 |
# src/dbml_sharepoint/extract/field_xml.py
"""CAML `<Field>` XML to a normalised field record.
A live read returns one of these elements in each field's `SchemaXml`
property, and it is everything the extraction has to work from.
Nothing in this module interprets a field as a DBML type. It reports what
the element say... | shauneccles/dbml-sharepoint | src/dbml_sharepoint/extract/field_xml.py | .py | 5300f763577d5065 | 7 | 0 |
# src/dbml_sharepoint/extract/folder.py
"""The per-list folder: where one list's extraction lives.
Both halves of the flow land here. `extract-script` seeds the folder with
the browser-paste script and a readme; `extract` writes the draft schema,
the mapping and the notes into the same one. The folder is named after t... | shauneccles/dbml-sharepoint | src/dbml_sharepoint/extract/folder.py | .py | 590b3f6fbbf4b987 | 7 | 0 |
# -*- coding: utf-8 -*-
"""以 Gmail API 寄送通知信。
沿用與 persistence.py 相同的憑證 (GOOGLE_CLIENT_ID / SECRET / REFRESH_TOKEN),
但該 refresh token 需含 gmail.send scope (重新授權取得)。
寄件者 = 授權的 Google 帳號本身;收件人 = 各使用者的通知信箱。
環境變數:
PM_MAIL_FROM_NAME 寄件者顯示名稱 (預設「專案管理系統」)
PM_NOTIFY_DRYRUN "1" 時不真的寄 (app.py 端控制,mailer 本身總是真寄)
"""
impo... | fantasy1164/pm-system | backend/mailer.py | .py | fec778e95e87b397 | 7 | 0 |
# -*- coding: utf-8 -*-
"""產生 app.ico —— 甘特圖意象的應用程式圖示。
app.ico 已隨版本庫提供,平常不需要跑這支;想換配色或造型時才用:
pip install pillow
python make_icon.py
輸出多尺寸 (16-256px) 的單一 .ico,Windows 檔案總管/工作列/桌面各取所需。
"""
import os
from PIL import Image, ImageDraw
HERE = os.path.dirname(os.path.abspath(__file__))
OUT = os.path.join(HERE, "ap... | fantasy1164/pm-system | standalone/build/make_icon.py | .py | 1d21484773974fa3 | 7 | 0 |
"""
AI Engine API routes for Kronos Financial Foundation Model forecasting.
"""
from typing import Optional
from fastapi import APIRouter, HTTPException, Query
from pydantic import BaseModel, Field
from backend.app.core.data_engine import data_engine
from backend.app.core.search_engine import SearchEngine
from backen... | srathi/SwingTradeDeskPro | backend/app/api/ai_routes.py | .py | 7832aeb9a1292242 | 7 | 0 |
"""
Backtest API Routes with Symbol Resolution and Robust Cost Models.
"""
from typing import Optional, Dict, Any, List
from fastapi import APIRouter, HTTPException
from pydantic import BaseModel
from backend.app.core.data_engine import data_engine
from backend.app.core.index_manager import IndexManager
from backend.... | srathi/SwingTradeDeskPro | backend/app/api/backtest_routes.py | .py | f339a5099b46f867 | 7.5 | 0 |
"""
Risk Management and Position Sizing API Routes.
"""
from typing import Optional
from fastapi import APIRouter
from pydantic import BaseModel
from backend.app.core.risk_calculator import calculate_position_sizing
router = APIRouter(prefix="/api/risk", tags=["Risk"])
class SizingRequest(BaseModel):
capital: f... | srathi/SwingTradeDeskPro | backend/app/api/risk_routes.py | .py | 9bbf95f7c416aa22 | 7 | 0 |
"""
Screener API Routes and WebSocket Live Scanner Stream.
"""
import json
import asyncio
from typing import List, Dict, Any, Optional
from fastapi import APIRouter, WebSocket, WebSocketDisconnect, Query
from pydantic import BaseModel
import numpy as np
import pandas as pd
from backend.app.core.index_manager import I... | srathi/SwingTradeDeskPro | backend/app/api/screener_routes.py | .py | af36a04fd3812ec1 | 7 | 0 |
"""
SectorPulse REST API Routes.
Serves real-time quantitative sector rotation intelligence, Relative Strength regimes, and exhaustion forecasts.
"""
from typing import Optional, List, Dict, Any
from fastapi import APIRouter, Query, HTTPException
from sectorpulse.engine import SectorPulseEngine
from sectorpulse.data_... | srathi/SwingTradeDeskPro | backend/app/api/sector_routes.py | .py | e1d13e2d6360b06b | 7 | 0 |
"""
Institutional Backtesting Simulation Engine with Realistic Indian Market Cost Models.
Simulates bar-by-bar trade execution with slippage, STT, GST, brokerage, and risk-managed position sizing.
"""
import math
import numpy as np
import pandas as pd
from typing import Dict, List, Any, Optional
from backend.app.strat... | srathi/SwingTradeDeskPro | backend/app/backtester/engine.py | .py | 89e909ca40616046 | 7.5 | 0 |
"""
Data Engine with Yahoo Finance Ingestion, Intelligent Fuzzy Name Resolution, and SQLite Disk Caching.
Provides fast, rate-limited, and cached OHLCV market data for Indian and global equities.
"""
import os
import io
import sqlite3
import datetime
import pandas as pd
import yfinance as yf
from typing import List, D... | srathi/SwingTradeDeskPro | backend/app/core/data_engine.py | .py | 660ce02525b98514 | 7 | 0 |
"""
Vectorized, High-Performance Technical Indicator Engine.
Implemented with pure NumPy and Pandas for institutional-grade reliability,
exact alignment with TradingView/Zerodha calculations, and zero external C-dependencies.
"""
import numpy as np
import pandas as pd
from typing import Tuple, Dict
def sma(series: p... | srathi/SwingTradeDeskPro | backend/app/core/indicator_engine.py | .py | 930b034c4e9afc45 | 7 | 0 |
"""
FastAPI Main Application Entrypoint for Institutional Swing Trading Platform.
Developed by rupeemap.in labs (by Sandesh Rathi).
"""
import os
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from fastapi.staticfiles import StaticFiles
from fastapi.responses import FileResponse
from b... | srathi/SwingTradeDeskPro | backend/app/main.py | .py | 4701341cd7027cab | 7 | 0 |
"""
Base Strategy Interface for Quantitative Swing Trading Models.
"""
from abc import ABC, abstractmethod
from typing import Dict, Any, Optional
import pandas as pd
class BaseStrategy(ABC):
name: str = "Base Strategy"
strategy_id: str = "base"
description: str = ""
default_params: Dict[str, Any] = {... | srathi/SwingTradeDeskPro | backend/app/strategies/base.py | .py | f0bd77d48b90af26 | 7 | 0 |
"""
Guppy Multiple Moving Average (GMMA) Breakout & Trend Expansion Strategy.
Identifies high-probability Stage 2 trend expansions by entering equities where the fast trader ribbon (3-15 EMA)
is actively expanding above the fanning slow investor ribbon (30-60 EMA) with breakout/trend momentum.
"""
from typing import D... | srathi/SwingTradeDeskPro | backend/app/strategies/gmma_breakout.py | .py | ffcdd7f98e84f25b | 7 | 0 |
"""
Institutional Pocket Pivot Strategy (Gil Morales & Chris Kacher / William O'Neil Research).
Identifies inside-the-base institutional volume accumulation where volume on an upward bounce off the 10/20/50 EMA
is higher than the maximum down-volume of the past 10 trading sessions.
Allows early positioning before tradi... | srathi/SwingTradeDeskPro | backend/app/strategies/pocket_pivot.py | .py | a46671f666a44a50 | 7 | 0 |
"""
Mansfield Relative Strength Stage-2 Leader Strategy.
Research: Stan Weinstein (1988) — Stage Analysis / Gary Antonacci — Dual Momentum (2014).
Alpha Edge: Detects institutional accumulation in market-leading equities outperforming the Nifty 50 benchmark (MRS > 0)
breaking out of Stage-1 consolidation bases on heavy... | srathi/SwingTradeDeskPro | backend/app/strategies/relative_strength_leader.py | .py | eed5919f5abe3cdc | 7 | 0 |
"""
RSI(28) Multi-Week Momentum Divergence Strategy.
Captures high-probability intermediate swing reversals by identifying structural bullish divergences
between price lower-lows / double-bottoms and smoothed 28-period Wilder RSI higher-lows.
"""
from typing import Dict, Any, Optional, List, Tuple
import numpy as np
i... | srathi/SwingTradeDeskPro | backend/app/strategies/rsi28_divergence.py | .py | 3de236d7a762775e | 7 | 0 |
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