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 |
|---|---|---|---|---|---|---|
"""
Volatility Contraction Pattern (VCP) & Base Breakout Strategy.
Identifies tightening price ranges (volatility squeeze) followed by decisive volume-backed breakouts.
"""
import numpy as np
import pandas as pd
from typing import Dict, Any, Optional
from backend.app.strategies.base import BaseStrategy
from backend.ap... | srathi/SwingTradeDeskPro | backend/app/strategies/vcp_breakout.py | .py | 485079af0f5e4845 | 7 | 0 |
"""
TTM Volatility Squeeze Breakout Strategy.
Research: John Carter (2007) / Volatility Regime Models.
Alpha Edge: Detects volatility compression where Bollinger Bands (20, 2.0) narrow inside Keltner Channels (20, 1.5 ATR).
When bands expand outward with accelerating positive MACD momentum, it signals explosive directi... | srathi/SwingTradeDeskPro | backend/app/strategies/volatility_squeeze.py | .py | 359de2e838d8290a | 7 | 0 |
"""
Data Ingestion Module for SectorPulse.
High-performance fetching, cleaning, date-alignment, and SQLite disk-cached time-series ingestion.
Uses dedicated per-sector candidate resolvers to ensure 100% unique, isolated sector data feeds.
"""
from typing import Dict, List, Optional, Tuple
import logging
import pandas ... | srathi/SwingTradeDeskPro | sectorpulse/data_ingestion.py | .py | d78f45aef514f6bd | 7 | 0 |
"""
SectorPulse Engine Orchestrator.
Executes multi-sector ingestion, indicator calculations, econometric persistence modeling,
foundation forecasting, and generates strict JSON contract reports.
"""
from typing import Dict, List, Any, Optional
from datetime import datetime, timezone
import numpy as np
import pandas a... | srathi/SwingTradeDeskPro | sectorpulse/engine.py | .py | b9ca9987157f5c89 | 7 | 0 |
"""
Foundation Model & Probabilistic Forecaster for SectorPulse.
Integrates Amazon Chronos (Chronos-Bolt / Chronos-T5) with vectorized Monte Carlo & polynomial inflection fallback.
"""
from typing import Dict, List, Any, Optional
from dataclasses import dataclass
import logging
import warnings
import numpy as np
impor... | srathi/SwingTradeDeskPro | sectorpulse/foundation_forecaster.py | .py | d9eb523f3516ea0d | 7 | 0 |
#!/usr/bin/env python3
"""Build a quality-ranked public API/capability index for PetroTechRadar."""
from __future__ import annotations
import ast, json, os, re, time, urllib.parse, urllib.request
from datetime import datetime, timezone
from pathlib import Path
ROOT=Path(__file__).resolve().parents[1]; OUT_DIR=ROOT/'doc... | santoshdhubia/PetroTechRadar | scripts/build_capability_index.py | .py | b95ab93d1d3c6762 | 7.15 | 1 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import os, json, sys
from datetime import datetime, timezone
# 경로 설정
ROOT = os.path.dirname(os.path.dirname(__file__))
DOCS_DIR = os.path.join(ROOT, "docs", "data")
MOVIE_DIR = os.path.join(DOCS_DIR, "movies")
SEARCH_DIR = os.path.join(DOCS_DIR, "search")
os.makedirs(SEA... | Veneno06/MyMovieProject | scripts/build_indices.py | .py | 401739ab5d6a67df | 7 | 0 |
# scripts/build_year_cache.py
import argparse
import json
import math
import os
import time
from typing import Dict, Any, List
import requests
from requests.adapters import HTTPAdapter
from urllib3.util.retry import Retry
KOFIC_BASE = "https://www.kobis.or.kr/kobisopenapi/webservice/rest/movie/searchMovieList.json"
O... | Veneno06/MyMovieProject | scripts/build_year_cache.py | .py | a62461a00e3e467b | 7 | 0 |
from pathlib import Path
import torch
from torch import nn
from laq_model.latent_action_quantization_stage25_feature_model4 import (
LatentActionQuantizationStage25Model4,
)
class LatentActionQuantizationStage25Model2(LatentActionQuantizationStage25Model4):
"""Model2 Stage-2.5 depth+RGB feature encoder.
... | DangLeKhanhToan/LAPA | Depth_branch/laq/laq_model/latent_action_quantization_stage25_feature_model2.py | .py | ba02988e7fefd4b3 | 7 | 0 |
import numpy as np
from mani_skill2_real2sim.utils.geometry import rotate_2d_vec_by_angle
from .pd_joint_vel import PDJointVelController, PDJointVelControllerConfig
class PDBaseVelController(PDJointVelController):
"""PDJointVelController for ego-centric base movement."""
def _initialize_action_space(self):... | DangLeKhanhToan/LAPA | SimplerEnv/ManiSkill2_real2sim/mani_skill2_real2sim/agents/controllers/pd_base_vel.py | .py | 4b5da02d02fb62d5 | 7 | 0 |
from collections import OrderedDict
from typing import List, Optional
import numpy as np
import cv2
import sapien.core as sapien
from mani_skill2_real2sim import ASSET_DIR
from mani_skill2_real2sim.utils.registration import register_env
from mani_skill2_real2sim.utils.sapien_utils import get_entity_by_name
from transf... | DangLeKhanhToan/LAPA | SimplerEnv/ManiSkill2_real2sim/mani_skill2_real2sim/envs/custom_scenes/place_in_closed_drawer_in_scene.py | .py | 679f59ad2ff832f8 | 7 | 0 |
"""tools/backtest.py 단위 테스트.
손으로 만든 고정 가격 시계열만 사용한다 — 실제 네트워크 호출(market_data)은
하지 않는다.
표준 라이브러리만 사용한다 (pytest로도 실행 가능).
실행: python -m unittest tests/test_backtest.py
"""
from __future__ import annotations
import contextlib
import io
import json
import os
import sys
import unittest
from decimal import DecimalExcepti... | TLSRUF/ai-trader-team | tests/test_backtest.py | .py | 2a890b926f434165 | 7.65 | 1 |
"""scripts/check_agents.py 단위 테스트.
표준 라이브러리 unittest만 사용한다 (pytest로도 실행 가능).
실행: python -m unittest tests/test_check_agents.py
"""
from __future__ import annotations
import contextlib
import io
import os
import sys
import tempfile
import unittest
from pathlib import Path
from unittest import mock
sys.path.insert(0,... | TLSRUF/ai-trader-team | tests/test_check_agents.py | .py | 1624cfa99989f4c9 | 7.65 | 1 |
"""tools/cli_utils.py 단위 테스트.
표준 라이브러리만 사용한다 (pytest로도 실행 가능).
실행: python -m unittest tests/test_cli_utils.py
"""
from __future__ import annotations
import os
import sys
import unittest
from unittest.mock import patch
sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", "tools"))
from cli_utils import ... | TLSRUF/ai-trader-team | tests/test_cli_utils.py | .py | dfffc25d52fdb210 | 7.65 | 1 |
"""tools/positions_ledger.py 단위 테스트.
표준 라이브러리만 사용한다 (pytest로도 실행 가능).
실행: python -m unittest tests/test_positions_ledger.py
"""
from __future__ import annotations
import os
import sys
import tempfile
import unittest
from pathlib import Path
sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", "tools"))
... | TLSRUF/ai-trader-team | tests/test_positions_ledger.py | .py | 3dd478477f021b3d | 7.65 | 1 |
#!/usr/bin/env python3
"""market_data.py — yfinance 기반 실시간/과거 시세 조회 도구.
trading_rigor.py는 서술과 계산을 분리하기 위해 외부 의존성 없이 순수 계산만
한다. 이 파일은 성격이 다르다 — "시세 조회"는 계산이 아니라 외부 데이터를
가져오는 일이라 표준 라이브러리만으로는 할 수 없다. 그래서 계산 계층
(trading_rigor.py)은 계속 의존성 없이 테스트/실행 가능하게 유지하면서,
조회 계층만 이 파일로 분리하고 최소한의(무료, API 키 불필요) 외부 의존성인
yfinance를 허용한다.
... | TLSRUF/ai-trader-team | tools/market_data.py | .py | bfff02674303f22c | 7.15 | 1 |
#!/usr/bin/env python3
"""portfolio_dashboard.py — 보유 포지션 실시간 대시보드.
reports/positions.md의 "보유중" 행 전체를 읽어 각 티커의 실시간 시세를
조회하고(market_data.py), 미실현 손익(R-멀티플)과 포트폴리오 전체 리스크(히트)를
계산(trading_rigor.py)해 하나의 요약으로 만든다.
이 작업은 순수 집계·계산이라 주관적 판단이 필요 없다 — 그래서 /portfolio 같은
스킬(에이전트)이 티커마다 여러 번 Bash를 호출하게 하는 대신, 이 스크립트 하나로
전체 계산을 끝... | TLSRUF/ai-trader-team | tools/portfolio_dashboard.py | .py | 7ec6cdc7a063d092 | 7.15 | 1 |
from googletrans import Translator
SRC_LANG = {
'zh-CN' : 'zh-cn',
'en-US' : 'en',
'ja-JP' : 'ja'
}
class googleClient:
def __init__(self):
self.trs = Translator()
def translate(self, ocr_text: str, src: str) -> str:
"""
OCR 텍스트를 받아 번역 결과 문자열을 반환.
"""
i... | amature0000/SOTE | app/translate_api/google_api.py | .py | 29d1152232bf393d | 7 | 0 |
from __future__ import annotations
import time
from typing import Optional
import google.generativeai as genai
from settings import SettingsManager
class LLMError(RuntimeError):
pass
class LLMClient:
def __init__(
self,
settings: SettingsManager,
*,
temperature: float = 0.2... | amature0000/SOTE | app/translate_api/llm_api.py | .py | fdaf6db5d9b3c10d | 7 | 0 |
"""Cooperation evaluator for game-theoretic assessment.
Measures cooperative behavior patterns in game play including
cooperation rate, conditional cooperation, and reciprocity.
Wraps game_envs.analysis.cooperation metrics into the ATP
evaluator interface.
"""
from __future__ import annotations
from dataclasses impo... | andrei-shtanakov/atp-platform | atp-games/atp_games/evaluators/cooperation_evaluator.py | .py | ebb9cd61c577eabe | 7.35 | 4 |
"""Exploitability evaluator for game-theoretic assessment.
Measures how exploitable an agent's strategy is by computing
the payoff gap between their empirical strategy and the best
response to opponents' play.
"""
from __future__ import annotations
from dataclasses import dataclass
from typing import Any
from atp.e... | andrei-shtanakov/atp-platform | atp-games/atp_games/evaluators/exploitability_evaluator.py | .py | 589ede92c7342a5d | 7.35 | 4 |
"""Payoff evaluator for game-theoretic agent assessment.
Evaluates agent performance based on payoff metrics:
average payoff, distribution, Pareto efficiency, and
social welfare.
"""
from __future__ import annotations
from dataclasses import dataclass, field
from typing import Any
from atp.evaluators.base import Ev... | andrei-shtanakov/atp-platform | atp-games/atp_games/evaluators/payoff_evaluator.py | .py | 790c86e9dc619534 | 7.35 | 4 |
"""Maps ATPResponse to game actions."""
from __future__ import annotations
import json
import logging
from dataclasses import dataclass, field
from typing import Any
from atp.protocol.models import (
ArtifactStructured,
ATPResponse,
ResponseStatus,
)
logger = logging.getLogger(__name__)
_INTENT_MAX_CH... | andrei-shtanakov/atp-platform | atp-games/atp_games/mapping/action_mapper.py | .py | b362822f61602f40 | 7.35 | 4 |
"""Maps GameObservation to ATPRequest."""
from __future__ import annotations
import uuid
from atp.protocol.models import ATPRequest, Context, Task
from game_envs.core.state import Observation
class ObservationMapper:
"""Maps game Observation to ATP protocol ATPRequest."""
def to_atp_request(
self,... | andrei-shtanakov/atp-platform | atp-games/atp_games/mapping/observation_mapper.py | .py | 2b6a4dd993e877df | 7.35 | 4 |
"""ATP plugin registration for game-theoretic evaluation."""
from __future__ import annotations
# Registry for suite loaders keyed by type discriminator
_suite_loaders: dict[str, type] = {}
def register_suite_loader(
suite_type: str,
loader_class: type,
) -> None:
"""Register a suite loader for a given ... | andrei-shtanakov/atp-platform | atp-games/atp_games/plugin.py | .py | 203a559504a4db07 | 7.35 | 4 |
"""Elo rating system for agent evaluation."""
from __future__ import annotations
from dataclasses import dataclass, field
@dataclass
class EloRating:
"""Elo rating for a single agent.
Attributes:
agent: Agent identifier.
rating: Current Elo rating (default 1500.0).
games_played: Tot... | andrei-shtanakov/atp-platform | atp-games/atp_games/rating/elo.py | .py | 75310d120cc4dc5d | 7.35 | 4 |
"""Action validation with retry logic for LLM agents."""
from __future__ import annotations
import logging
from dataclasses import dataclass, field
from typing import Any
from game_envs.core.action import ActionSpace
from atp_games.mapping.action_mapper import GameAction
logger = logging.getLogger(__name__)
@dat... | andrei-shtanakov/atp-platform | atp-games/atp_games/runner/action_validator.py | .py | 9548d66e8a6d28e0 | 7.35 | 4 |
"""Adapter wrapping built-in strategies as ATP agents."""
from __future__ import annotations
from collections.abc import AsyncIterator
from atp.adapters.base import AdapterConfig, AgentAdapter
from atp.protocol.models import (
ArtifactStructured,
ATPEvent,
ATPRequest,
ATPResponse,
ResponseStatus,... | andrei-shtanakov/atp-platform | atp-games/atp_games/runner/builtin_adapter.py | .py | 04a2a4ca65cbf946 | 7.35 | 4 |
"""Cross-play matrix: all agents vs all agents.
Runs every agent pair (including self-play) and produces
a payoff matrix with dominance and clustering analysis.
"""
from __future__ import annotations
import logging
from dataclasses import dataclass, field
from typing import Any
from atp.adapters.base import AgentAd... | andrei-shtanakov/atp-platform | atp-games/atp_games/suites/cross_play.py | .py | 3052b585b0b61690 | 7.35 | 4 |
"""Game suite YAML loader with validation and resolution."""
from __future__ import annotations
import copy
from pathlib import Path
from typing import Any
from atp.adapters.base import AgentAdapter
from atp.core.exceptions import ValidationError
from atp.loader.parser import VariableSubstitution, YAMLParser
from py... | andrei-shtanakov/atp-platform | atp-games/atp_games/suites/game_suite_loader.py | .py | 9e1936f4e510f346 | 7.35 | 4 |
"""Pydantic models for game suite configuration."""
from __future__ import annotations
from typing import Any
from pydantic import BaseModel, Field
class GameMetricConfig(BaseModel):
"""Configuration for a single evaluation metric."""
type: str
weight: float = Field(default=1.0, ge=0.0)
config: di... | andrei-shtanakov/atp-platform | atp-games/atp_games/suites/models.py | .py | c2ca7bb30774acb6 | 7.35 | 4 |
"""Adversarial stress-test: agent vs best-response oracle.
Tests an agent's robustness by computing its empirical strategy,
generating a best-response opponent, and measuring exploitability
in practice.
"""
from __future__ import annotations
import copy
import logging
from dataclasses import dataclass
from typing im... | andrei-shtanakov/atp-platform | atp-games/atp_games/suites/stress_test.py | .py | 3b126c959bd5d825 | 7.85 | 4 |
"""Tournament modes: round-robin and elimination brackets.
Supports round-robin (all-pairs) and single/double elimination
tournament formats for comparing agents in game-theoretic settings.
"""
from __future__ import annotations
import copy
import logging
from dataclasses import dataclass, field
from typing import A... | andrei-shtanakov/atp-platform | atp-games/atp_games/suites/tournament.py | .py | 2840354734327e0b | 7.35 | 4 |
"""Tests for Phase 5 of the El Farol dashboard data-model plan.
Covers the extended ``ElFarolConfig`` with:
- ``max_intervals: int = 2``
- ``max_total_slots: int = 8``
- ``capacity_ratio: float = 0.6``
- ``capacity_threshold: int = 0`` treated as a sentinel meaning
"derive from ``floor(capacity_ratio * nu... | andrei-shtanakov/atp-platform | atp-games/tests/test_el_farol_config.py | .py | 43a4ac0de97a020d | 7.85 | 4 |
"""Integration test: full PD game with 2 builtin strategies."""
import pytest
from game_envs.games.prisoners_dilemma import (
PDConfig,
PrisonersDilemma,
)
from game_envs.strategies.pd_strategies import (
AlwaysCooperate,
AlwaysDefect,
TitForTat,
)
from atp_games.models import GameRunConfig
from a... | andrei-shtanakov/atp-platform | atp-games/tests/test_integration.py | .py | 1a3d48c8f9b88a2a | 7.85 | 4 |
"""Tests for data models."""
import json
from datetime import UTC, datetime
import pytest
from atp_games.models import (
ActionRecord,
AgentRecord,
EpisodeResult,
GameResult,
GameRunConfig,
IntervalPair,
)
def _make_action_record(
*,
match_id: str = "match-1",
day: int = 0,
... | andrei-shtanakov/atp-platform | atp-games/tests/test_models.py | .py | 2a8a251eab4fed5f | 7.85 | 4 |
#!/usr/bin/env python3
"""Batch collect drug bundles (without LLM calls).
This script collects drug bundles including DDI data for multiple drugs.
It does NOT require an API key since it only collects data, no LLM generation.
Usage:
# Collect top 10 drugs by prediction count
python scripts/batch_colle... | yao-care/CaTxGNN | scripts/batch_collect_bundles.py | .py | 9961230b35242a98 | 7 | 0 |
#!/usr/bin/env python3
"""Batch generate Evidence Packs and Notes for all collected bundles.
This script processes all drug bundles and generates:
1. Evidence Pack (LLM analysis)
2. Pharmacist Notes (LLM report)
Usage:
# Generate reports for all bundles
python scripts/batch_generate_reports.py --all
# Ge... | yao-care/CaTxGNN | scripts/batch_generate_reports.py | .py | 191d792f8a3a0e5e | 7 | 0 |
#!/usr/bin/env python3
"""
Extract drug list from docs/_drugs/*.md files.
Creates a JSON file with drug names, evidence levels, and indication counts.
"""
import json
import re
from pathlib import Path
def parse_front_matter(content: str) -> dict:
"""Parse YAML front matter from markdown content."""
if not c... | yao-care/CaTxGNN | scripts/extract_drug_list.py | .py | b1b73f7f5505482f | 7 | 0 |
#!/usr/bin/env python3
"""Canada health news fetcher.
Fetches health-related news from Canadian news sources via Google News RSS:
- CBC Health
- CTV Health
- Global News Health
- The Globe and Mail Health
Usage:
uv run python scripts/fetchers/ca_news.py
Output:
data/news/ca_news_latest.json
"""... | yao-care/CaTxGNN | scripts/fetchers/ca_news.py | .py | 6b252ee1724be64f | 7 | 0 |
#!/usr/bin/env python3
"""
Generate individual drug pages for Jekyll from repurposing predictions.
Creates markdown pages for each drug with predicted indications.
Output: docs/_drugs/{drug-slug}.md
"""
import pandas as pd
from datetime import datetime
from pathlib import Path
# Project configuration
PROJECT_ROOT =... | yao-care/CaTxGNN | scripts/generate_drug_pages.py | .py | d4e28f0eb8dfd384 | 7 | 0 |
#!/usr/bin/env python3
"""
產生新聞監測用的關鍵字清單
從現有資料提取：
- 191 個藥物名稱（英文 + 中文商品名）
- 原始適應症（中文）
- 預測適應症（英文）
輸出：data/news/keywords.json
"""
import json
import re
from datetime import datetime
from pathlib import Path
# 專案根目錄
PROJECT_ROOT = Path(__file__).parent.parent
DATA_DIR = PROJECT_ROOT / "data"
DOCS_DATA_DIR = PROJECT_R... | yao-care/CaTxGNN | scripts/generate_news_keywords.py | .py | ba9c621a0a63f052 | 7 | 0 |
#!/usr/bin/env python3
"""準備 external 資料檔案
從下載的 TxGNN 資料（node.csv, kg.csv）提取出知識圖譜方法所需的詞彙表和關係資料。
使用方法:
uv run python scripts/prepare_external_data.py
前置條件:
需要先下載以下檔案到 data/ 目錄：
- node.csv: https://dataverse.harvard.edu/api/access/datafile/7144482
- kg.csv: https://dataverse.harvard.edu/api/access/data... | yao-care/CaTxGNN | scripts/prepare_external_data.py | .py | 8466d7ff6fb45be5 | 7 | 0 |
#!/usr/bin/env python3
"""Sync notes from data/notes/ to docs/_drugs/ for Jekyll.
This script reads pharmacist notes and creates Jekyll-compatible drug pages
with proper front matter for the documentation site.
Usage:
uv run python scripts/sync_notes_to_docs.py
"""
import json
import re
from pathlib import Path
... | yao-care/CaTxGNN | scripts/sync_notes_to_docs.py | .py | 348f063b7dfda465 | 7 | 0 |
"""Base collector interface for all data sources."""
from abc import ABC, abstractmethod
from dataclasses import dataclass, field
from datetime import datetime
from typing import Any
@dataclass
class CollectorResult:
"""Result from a single collector query."""
source: str # e.g., "clinicaltrials", "pubmed"... | yao-care/CaTxGNN | src/catxgnn/collectors/base.py | .py | 95500c856b9e4eff | 7 | 0 |
"""ClinicalTrials.gov collector - fetches clinical trial data via API."""
import requests
from typing import Any
from .base import BaseCollector, CollectorResult
class ClinicalTrialsCollector(BaseCollector):
"""Collector for ClinicalTrials.gov clinical trial data.
Uses the ClinicalTrials.gov API v2 to sear... | yao-care/CaTxGNN | src/catxgnn/collectors/clinicaltrials.py | .py | 9b9b2a95e38f98fe | 7 | 0 |
"""DrugBank collector - fetches drug information including MOA."""
import csv
import json
import re
import time
from pathlib import Path
from typing import Any
from urllib.parse import quote
import httpx
from .base import BaseCollector, CollectorResult
class DrugBankCollector(BaseCollector):
"""Collector for D... | yao-care/CaTxGNN | src/catxgnn/collectors/drugbank.py | .py | 8d2fec5bef022517 | 7 | 0 |
"""WHO ICTRP collector - fetches international clinical trial data."""
import requests
from typing import Any
from .base import BaseCollector, CollectorResult
class ICTRPCollector(BaseCollector):
"""Collector for WHO International Clinical Trials Registry Platform (ICTRP).
Uses the ICTRP search portal to f... | yao-care/CaTxGNN | src/catxgnn/collectors/ictrp.py | .py | 29c39163a467517b | 7 | 0 |
"""Check if drug-disease pairs are known relations in the knowledge graph."""
import pandas as pd
from pathlib import Path
from typing import Literal
from ..paths import get_data_dir
class KnownRelationsChecker:
"""Check if drug-disease pairs are already known in the knowledge graph.
This class helps filte... | yao-care/CaTxGNN | src/catxgnn/collectors/known_relations.py | .py | 1a6493f6c6025eeb | 7 | 0 |
"""PubMed collector - fetches literature data via NCBI E-utilities API."""
import os
import requests
import time
from typing import Any
from xml.etree import ElementTree
from .base import BaseCollector, CollectorResult
class PubMedCollector(BaseCollector):
"""Collector for PubMed literature data.
Uses NCBI... | yao-care/CaTxGNN | src/catxgnn/collectors/pubmed.py | .py | ab08ed4c49e42965 | 7 | 0 |
"""疾病映射模組 - 中文適應症映射至 TxGNN 疾病本體"""
import re
from pathlib import Path
from typing import Dict, List, Optional, Tuple
import pandas as pd
# 中英文疾病/症狀對照表
DISEASE_DICT = {
# 心血管系統
"高血壓": "hypertension",
"低血壓": "hypotension",
"心臟病": "heart disease",
"心肌梗塞": "myocardial infarction",
"心絞痛": "angina... | yao-care/CaTxGNN | src/catxgnn/mapping/disease_mapper.py | .py | b08e4ed11f00aacd | 7 | 0 |
#!/usr/bin/env python3
"""RxNorm 橋接模組
使用 RxNorm API 取得藥物同義詞，提高成分映射成功率。
RxNorm 是美國國家醫學圖書館維護的標準化藥物術語系統。
API 文件：https://lhncbc.nlm.nih.gov/RxNav/APIs/
"""
import json
import logging
import time
from pathlib import Path
from typing import Dict, List, Optional, Set, Tuple
import requests
logger = logging.getLogger(__na... | yao-care/CaTxGNN | src/catxgnn/mapping/rxnorm_bridge.py | .py | 0422bc4d4a4915a7 | 7 | 0 |
"""Centralized path management for the project."""
import re
from pathlib import Path
def get_project_root() -> Path:
"""Get the project root directory."""
return Path(__file__).parent.parent.parent
def get_data_dir() -> Path:
"""Get the data directory."""
return get_project_root() / "data"
def g... | yao-care/CaTxGNN | src/catxgnn/paths.py | .py | 000f6b7cd9d802cd | 7 | 0 |
"""老藥新用預測 - 基於 TxGNN 知識圖譜"""
from pathlib import Path
from typing import Dict, List, Optional, Set, Tuple
import pandas as pd
def load_drug_disease_relations(filepath: Optional[Path] = None) -> pd.DataFrame:
"""載入 TxGNN 藥物-疾病關係
Args:
filepath: CSV 檔案路徑
Returns:
藥物-疾病關係 DataFrame
""... | yao-care/CaTxGNN | src/catxgnn/predict/repurposing.py | .py | ce7f229796584d4c | 7 | 0 |
"""Evidence Pack generator using LLM."""
import json
import re
from pathlib import Path
from ..collectors.bundle import EvidenceBundle
from .llm_client import LLMClient, get_prompt_path
class EvidencePackGenerator:
"""Generates Evidence Pack from an EvidenceBundle using LLM.
Uses the Evidence Pack Reviewer... | yao-care/CaTxGNN | src/catxgnn/reviewer/evidence_pack.py | .py | d91eca077d5bc0c9 | 7 | 0 |
"""Claude Code CLI client for LLM interactions.
Uses `claude -p` (print mode) to invoke the Claude Code CLI as the LLM backend.
No API key required — uses the user's existing Claude Code subscription.
"""
import os
import subprocess
import time
from pathlib import Path
# Transient error patterns that trigger retry w... | yao-care/CaTxGNN | src/catxgnn/reviewer/llm_client.py | .py | 4ba39be44015274c | 7 | 0 |
"""Base class for Notes Writers."""
import json
from abc import ABC, abstractmethod
from pathlib import Path
from ..reviewer.llm_client import LLMClient
class BaseNotesWriter(ABC):
"""Abstract base class for all Notes Writers.
Notes Writers generate PDF-ready Markdown reports from Evidence Packs.
"""
... | yao-care/CaTxGNN | src/catxgnn/writer/base.py | .py | eb6e904eef4d9efa | 7 | 0 |
"""Drug-centric Pharmacist Notes Writer."""
from pathlib import Path
from ..reviewer.llm_client import get_prompt_path, LLMClient
from .base import BaseNotesWriter
class DrugPharmacistNotesWriter(BaseNotesWriter):
"""Generates Drug Pharmacist Notes from Drug Evidence Pack.
Focus areas (drug-centric):
-... | yao-care/CaTxGNN | src/catxgnn/writer/drug_pharmacist.py | .py | 2c4a26f057eee807 | 7 | 0 |
"""Drug-centric Sponsor Notes Writer."""
from pathlib import Path
from ..reviewer.llm_client import get_prompt_path
from .base import BaseNotesWriter
class DrugSponsorNotesWriter(BaseNotesWriter):
"""Generates Drug Sponsor Notes from Drug Evidence Pack.
Focus areas (drug-centric):
- One drug with multi... | yao-care/CaTxGNN | src/catxgnn/writer/drug_sponsor.py | .py | 4c5d7d14eb98cc90 | 7 | 0 |
"""Pharmacist Notes Writer."""
from pathlib import Path
from ..reviewer.llm_client import get_prompt_path
from .base import BaseNotesWriter
class PharmacistNotesWriter(BaseNotesWriter):
"""Generates Pharmacist Notes from Evidence Pack.
Focus areas:
- Drug safety and risks (ADR, contraindications, DDI)
... | yao-care/CaTxGNN | src/catxgnn/writer/pharmacist.py | .py | 94d5280008d35342 | 7 | 0 |
"""Sponsor Notes Writer."""
from pathlib import Path
from ..reviewer.llm_client import get_prompt_path
from .base import BaseNotesWriter
class SponsorNotesWriter(BaseNotesWriter):
"""Generates Sponsor (Pharma) Notes from Evidence Pack.
Focus areas:
- Evidence strength and development feasibility
- ... | yao-care/CaTxGNN | src/catxgnn/writer/sponsor.py | .py | fc740ae102a0f66f | 7 | 0 |
#!/usr/bin/env python3
"""Validate the documentation manifest and local Markdown links."""
from __future__ import annotations
import json
import re
from pathlib import Path
from typing import Iterator
ROOT = Path(__file__).resolve().parents[1]
MANIFEST = ROOT / "docs" / "documentation-manifest.json"
MARKDOWN_LINK =... | flytohub/flyto-pro-core | scripts/check-documentation.py | .py | 9289f89479d4f566 | 7 | 0 |
#!/usr/bin/env python3
"""Run the reproducible Flyto2 Pro Core verification loop."""
from __future__ import annotations
import os
import shutil
import subprocess
import sys
import tarfile
import tempfile
import venv
import zipfile
from pathlib import Path
try:
import tomllib
except ImportError: # pragma: no cov... | flytohub/flyto-pro-core | scripts/verify.py | .py | 78ffb2acae1b0e9e | 7 | 0 |
"""
Capability Token - Permission boundary for agent actions.
This is the ONLY security mechanism. Without it, even the best verification
can be bypassed by "help me delete all data".
"""
from dataclasses import dataclass, field
from datetime import datetime, timedelta
from enum import Enum
from typing import Any, Di... | flytohub/flyto-pro-core | src/flyto_pro_core/agent_runtime/contracts/capability_token.py | .py | f83096207561c4e1 | 7 | 0 |
"""
Contract Meta - Version management for all contracts.
Without contract versioning, Agent will "die old" - unable to evolve.
"""
import hashlib
import re
from dataclasses import dataclass, field
from datetime import datetime
from typing import Any, Dict, List, Optional, Tuple
@dataclass
class ContractMeta:
"... | flytohub/flyto-pro-core | src/flyto_pro_core/agent_runtime/contracts/contract_meta.py | .py | 79ca1dee4856634f | 7 | 0 |
"""
Decision Card - Human intervention interface.
Makes it easy for non-engineers to make technical decisions.
"""
from dataclasses import dataclass, field
from datetime import datetime
from enum import Enum
from typing import Any, Dict, List, Optional
from .contract_meta import ContractMeta
class DecisionType(Enu... | flytohub/flyto-pro-core | src/flyto_pro_core/agent_runtime/contracts/decision_card.py | .py | a467899341f818fc | 7 | 0 |
"""
Execution Bundle - Reproducible execution package.
Same bundle should produce same result (or explainable differences).
"""
import hashlib
import platform
from dataclasses import dataclass, field
from datetime import datetime
from typing import Any, Dict, List
from .contract_meta import ContractMeta
@dataclass... | flytohub/flyto-pro-core | src/flyto_pro_core/agent_runtime/contracts/execution_bundle.py | .py | e807f0be3e25fbb6 | 7 | 0 |
"""
Plan Contract - LLM planning output contract.
This is the contract between flyto-pro (AI #1) and flyto-cloud (AI #2).
Defines what the LLM planner must output for the runtime to execute.
"""
from dataclasses import dataclass, field
from datetime import datetime
from enum import Enum
from typing import Any, Dict, ... | flytohub/flyto-pro-core | src/flyto_pro_core/agent_runtime/contracts/plan_contract.py | .py | 384e55818aff9a96 | 7 | 0 |
"""
Plan Proposal - Multi-Agent interface for plan submission.
This is the standardized format for AI #1 (Planner) to submit plans
to AI #2 (Executor) for review and execution.
"""
import uuid
from dataclasses import dataclass, field
from datetime import datetime
from enum import Enum
from typing import Any, Dict, Li... | flytohub/flyto-pro-core | src/flyto_pro_core/agent_runtime/contracts/plan_proposal.py | .py | 38d981e5daea7593 | 7 | 0 |
"""
Stop Policy - Prevents infinite iteration and runaway costs.
This is a critical safety mechanism that must be deterministic.
"""
import time
from dataclasses import dataclass, field
from enum import Enum
from typing import Any, Dict, List, Optional, Tuple
from .contract_meta import ContractMeta
class StopReaso... | flytohub/flyto-pro-core | src/flyto_pro_core/agent_runtime/contracts/stop_policy.py | .py | a6799437e6b3b9a9 | 7 | 0 |
"""
EMS Store - Storage and matching for fix patterns.
Provides:
- Pattern storage with scope filtering
- Efficient matching algorithm
- Lifecycle management
"""
import json
import logging
import os
from dataclasses import dataclass, field
from datetime import datetime
from typing import Any, Dict, List, Optional, Tu... | flytohub/flyto-pro-core | src/flyto_pro_core/agent_runtime/ems/ems_store.py | .py | 101bdd9a7e9f62b7 | 7 | 0 |
"""
Error Signature - Fingerprinting for errors.
Creates unique signatures for errors that can be matched later.
The signature must be stable across runs but flexible enough
to match similar errors.
"""
import hashlib
import re
from dataclasses import dataclass, field
from enum import Enum
from typing import Any, Dic... | flytohub/flyto-pro-core | src/flyto_pro_core/agent_runtime/ems/error_signature.py | .py | 124f36d59930963e | 7 | 0 |
"""
Fix Pattern - Verified behavior corrections with lifecycle.
Fix patterns go through a lifecycle:
1. pending - Proposed fix, not yet verified
2. testing - Being tested
3. active - Verified and in use
4. deprecated - Superseded by newer pattern
5. rejected - Did not work
Each pattern tracks side effects to prevent ... | flytohub/flyto-pro-core | src/flyto_pro_core/agent_runtime/ems/fix_pattern.py | .py | 65f1c13bcba74cf8 | 7 | 0 |
"""
Agent Loop Adapter - Integrates agent_runtime with AgentLoop.
This adapter wraps the existing AgentLoop to add:
- ObservationPacket collection
- DeterministicVerifier in CHECK phase
- ProjectState persistence
- EMS integration
"""
import logging
from dataclasses import dataclass, field
from typing import Any, Dic... | flytohub/flyto-pro-core | src/flyto_pro_core/agent_runtime/integration/agent_loop_adapter.py | .py | 046ff5e6b4fa378b | 7 | 0 |
"""
Observation Adapter - Captures observations from various sources.
Provides helpers to capture observations from:
- Browser automation (Playwright, Selenium)
- Database connections
- File system operations
- Network requests
"""
import asyncio
import hashlib
import logging
import os
from dataclasses import datacla... | flytohub/flyto-pro-core | src/flyto_pro_core/agent_runtime/integration/observation_adapter.py | .py | 8e129eae68d50352 | 7 | 0 |
"""
Verification Adapter - Bridges new verification with existing VerificationGate.
Provides adapters to convert between:
- Assertion <-> Goal (existing system)
- VerificationReport <-> VerificationResult (existing system)
"""
import logging
from typing import Any, Dict
from ..contracts import (
Assertion,
A... | flytohub/flyto-pro-core | src/flyto_pro_core/agent_runtime/integration/verification_adapter.py | .py | 9404a71df5bd461d | 7 | 0 |
"""
Decision Card Builder - Fluent API for building decision cards.
Translates technical decisions into user-friendly cards.
"""
import uuid
from dataclasses import dataclass, field
from typing import Any, Callable, Dict, List, Optional
from ..contracts.decision_card import (
DecisionCard,
DecisionOption,
... | flytohub/flyto-pro-core | src/flyto_pro_core/agent_runtime/intervention/decision_card_builder.py | .py | f7688f9a0c0d9fcb | 7 | 0 |
"""
Intervention Handler - Manages user interventions.
Handles the flow of intervention requests and responses.
"""
import asyncio
import logging
import time
from dataclasses import dataclass
from datetime import datetime
from typing import Any, Callable, Dict, List, Optional, Awaitable
from .intervention_types impo... | flytohub/flyto-pro-core | src/flyto_pro_core/agent_runtime/intervention/intervention_handler.py | .py | 262d348cce396d1f | 7 | 0 |
"""
Intervention Types - Types and points for user intervention.
Defines when the AI should pause and ask the user.
"""
import uuid
from dataclasses import dataclass, field
from datetime import datetime
from enum import Enum
from typing import Any, Dict, List, Optional
class InterventionType(Enum):
"""Types of ... | flytohub/flyto-pro-core | src/flyto_pro_core/agent_runtime/intervention/intervention_types.py | .py | a9979d1e486426f7 | 7 | 0 |
"""
Observation Collector - Collects structured world state.
This is a pro module that can be registered and used in workflows.
"""
import hashlib
import logging
import uuid
from datetime import datetime
from typing import Any, Dict, List, Optional
from .observation_packet import (
BrowserObservation,
Databa... | flytohub/flyto-pro-core | src/flyto_pro_core/agent_runtime/observation/observation_collector.py | .py | 68737269285efe8e | 7 | 0 |
"""
Flyto2 Directory - .flyto/ directory structure management.
Standard structure:
.flyto/
state.json # Current project state
config.json # Project configuration
goals/ # Goal history
{goal_id}.json
artifacts/ # Step artifacts
{step_id}/
screenshot.png
... | flytohub/flyto-pro-core | src/flyto_pro_core/agent_runtime/project/flyto_directory.py | .py | 5d45d6c526bb94cc | 7 | 0 |
"""
Project State - Persistent project memory.
Stored in .flyto/ directory for long-term state.
"""
import json
import logging
import os
import uuid
from dataclasses import dataclass, field
from datetime import datetime
from typing import Any, Dict, List, Optional
from ..contracts.contract_meta import ContractMeta
f... | flytohub/flyto-pro-core | src/flyto_pro_core/agent_runtime/project/project_state.py | .py | 021aadc57b7732c2 | 7 | 0 |
"""
Progress Tracker - Real-time progress updates for UI.
Provides structured progress data at multiple levels:
- Goal level (overall project progress)
- Task level (current task progress)
- Step level (current step progress)
"""
import uuid
from dataclasses import dataclass, field
from datetime import datetime
from ... | flytohub/flyto-pro-core | src/flyto_pro_core/agent_runtime/ui/progress_tracker.py | .py | e97e9c2f26f94042 | 7 | 0 |
"""
Risk Card - User-friendly risk confirmation cards.
Presents risks to users in a clear, understandable format
with appropriate severity indicators.
"""
import uuid
from dataclasses import dataclass, field
from datetime import datetime
from enum import Enum
from typing import Any, Dict, List, Optional
class RiskL... | flytohub/flyto-pro-core | src/flyto_pro_core/agent_runtime/ui/risk_card.py | .py | 2cfd87bd5d53f36a | 7 | 0 |
"""
Tech Decision Translator - Translate technical content for users.
Converts technical terms, decisions, and errors into user-friendly
language that non-technical stakeholders can understand.
"""
import re
from dataclasses import dataclass, field
from typing import Any, Dict, List, Optional, Tuple
@dataclass
clas... | flytohub/flyto-pro-core | src/flyto_pro_core/agent_runtime/ui/tech_translator.py | .py | 7a248ca56590cb89 | 7 | 0 |
"""
Evidence Pipeline - Raw evidence to derived evidence.
Two-layer architecture:
- RawEvidence: Original data (screenshot, HAR, console log)
- DerivedEvidence: Computed results for verification
"""
import hashlib
import json
import uuid
from dataclasses import dataclass, field
from datetime import datetime
from enum... | flytohub/flyto-pro-core | src/flyto_pro_core/agent_runtime/verification/evidence_pipeline.py | .py | cf2eb0756268e762 | 7 | 0 |
"""
Verification Report - Deterministic verification result.
This is NOT LLM judgment. It's based on evidence.
"""
import hashlib
from dataclasses import dataclass, field
from datetime import datetime
from typing import Any, Dict, List, Optional
from ..contracts.contract_meta import ContractMeta
from ..contracts.pla... | flytohub/flyto-pro-core | src/flyto_pro_core/agent_runtime/verification/verification_report.py | .py | c6fad4efbf359c69 | 7 | 0 |
"""
Settings Management
Provides a centralized, type-safe configuration system using environment variables
and YAML configuration files. Implements the singleton pattern for efficiency.
"""
import os
from dataclasses import dataclass, field, fields, is_dataclass
from functools import lru_cache
from pathlib import Pat... | flytohub/flyto-pro-core | src/flyto_pro_core/config/settings.py | .py | 769004e1f863c652 | 7 | 0 |
# /// script
# requires-python = ">=3.10"
# dependencies = [
# "ragbits-chat",
# ]
# ///
#
# To run this example execute following CLI command:
# ragbits api run examples.api.chat:MyChat
from collections.abc import AsyncGenerator
from ragbits.chat.interface import ChatInterface
from ragbits.chat.interface.forms i... | rajath-raman/ragbits | examples/api/chat.py | .py | 5c4a5241beeac179 | 7 | 0 |
# /// script
# requires-python = ">=3.10"
# dependencies = [
# "ragbits-chat",
# ]
# ///
#
# To run this example execute following CLI command:
# ragbits api run examples.api.offline_chat:MyChat
import asyncio
from collections.abc import AsyncGenerator
from ragbits.chat.interface import ChatInterface
from ragbits... | rajath-raman/ragbits | examples/api/offline_chat.py | .py | b3c3bd305d013739 | 7 | 0 |
# /// script
# requires-python = ">=3.10"
# dependencies = [
# "gradio",
# "ragbits-document-search",
# "ragbits-core[chroma]",
# ]
# ///
from collections.abc import AsyncIterator
from pathlib import Path
import gradio as gr
from chromadb import PersistentClient
from pydantic import BaseModel
from ragbits... | rajath-raman/ragbits | examples/apps/documents_chat.py | .py | bef336f00c8c8d27 | 7 | 0 |
"""
Ragbits Core Example: OpenTelemetry
This example demonstrates how to collect traces and metrics using Ragbits audit module.
We run the LLM generation several times to collect telemetry data, and then export it to the OpenTelementry collector and visualize it in Grafana.
The script exports traces to the local OTLP... | rajath-raman/ragbits | examples/core/audit/otel.py | .py | d87be0e75c1a1e8c | 7 | 0 |
"""
Ragbits Core Example: Tool use
This example shows how to provide tools and return tool calls from LLM.
We provide a list of tools as additional `tools` parameter to the `llm.generate` method.
Important: this feature does not call provided tools, LLM only decides which tools to call
in order to accomplish a given t... | rajath-raman/ragbits | examples/core/llms/tool_use.py | .py | 8cc2d9dc25aad086 | 7 | 0 |
"""
Ragbits Core Example: Multimodal Prompt
This example demonstrates how to use the `Prompt` class to generate themed text using an LLM
with both text and image inputs. We define an `ImagePrompt` that generates a themed description
for a given image.
The script performs the following steps:
1. Define input and ... | rajath-raman/ragbits | examples/core/prompt/multimodal.py | .py | 19b3cc21ecddef8c | 7 | 0 |
"""
Ragbits Core Example: Multimodal Prompt with Few Shots
This example demonstrates how to use the `Prompt` class to generate themed text using an LLM
with both text and image inputs. We define an `ImagePrompt` that generates a themed description
for a given image, using few-shot examples to improve response accuracy... | rajath-raman/ragbits | examples/core/prompt/multimodal_with_few_shots.py | .py | 6aa96bd8368e72ef | 7 | 0 |
"""
Ragbits Core Example: Text Prompt with Few Shots
This example shows how to use the `Prompt` class to generate themed text using an LLM.
We define a `LoremPrompt` that generates Latin-style placeholder text based on a specified theme.
The script performs the following steps:
1. Define input and output formats... | rajath-raman/ragbits | examples/core/prompt/text_with_few_shots.py | .py | f247e2d95c1b2774 | 7 | 0 |
# /// script
# requires-python = ">=3.10"
# dependencies = [
# "ragbits-core[chroma,hf]",
# "ragbits-document-search",
# "ragbits-evaluate[relari]",
# ]
# ///
import asyncio
import logging
from typing import cast
import hydra
from omegaconf import DictConfig, OmegaConf
from ragbits.evaluate.evaluator impo... | rajath-raman/ragbits | examples/evaluation/document-search/advanced/evaluate.py | .py | 20e6f6875539a44a | 7 | 0 |
from dataclasses import dataclass
from types import ModuleType
from typing import Any, ClassVar, Generic, cast, overload
from ragbits import agents
from ragbits.core.llms.base import LLM, LLMClientOptionsT
from ragbits.core.options import Options
from ragbits.core.prompt.prompt import Prompt, PromptInputT, PromptOutpu... | rajath-raman/ragbits | packages/ragbits-agents/src/ragbits/agents/_main.py | .py | 59632cd9ee42885d | 7 | 0 |
from typing import Any, TypeVar
from pydantic import BaseModel
from ragbits.agents._main import Agent
from ragbits.core.llms.base import LLMClientOptionsT
QuestionAnswerPromptInputT = TypeVar("QuestionAnswerPromptInputT", bound="QuestionAnswerPromptInput")
QuestionAnswerPromptOutputT = TypeVar("QuestionAnswerPromptO... | rajath-raman/ragbits | packages/ragbits-agents/src/ragbits/agents/types.py | .py | fddce19f81f3ad6b | 7 | 0 |
import typer
from ragbits.chat.api import RagbitsAPI
ds_app = typer.Typer(no_args_is_help=True)
def register(app: typer.Typer) -> None:
"""
Register the CLI commands for the package.
Args:
app: The Typer object to register the commands with.
"""
app.add_typer(ds_app, name="api", help="C... | rajath-raman/ragbits | packages/ragbits-chat/src/ragbits/chat/cli.py | .py | a5bddc90a2793e4f | 7 | 0 |
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