Spaces:
Running on Zero
Running on Zero
Bellok commited on
Commit ·
1c68bde
1
Parent(s): 87dbd82
feat: Add support for remote pack loading with environment configuration and enhanced metadata handling
Browse files- .hf_pack_cache/datasets--Bellok--warbler-cda-corpus/blobs/45a1df9f2f9e0221d282e0ba9a65b5ac8ac41354 +15 -0
- .hf_pack_cache/datasets--Bellok--warbler-cda-corpus/blobs/f7cb515e761ca01d38aa98b07149c0453840d68f +56 -0
- .hf_pack_cache/datasets--Bellok--warbler-cda-corpus/refs/main +1 -0
- .hf_pack_cache/datasets--Bellok--warbler-cda-corpus/snapshots/1944661030a32fea59c540fa6957aca6e60b4ae0/packs/warbler-pack-core/package.json +1 -0
- .hf_pack_cache/datasets--Bellok--warbler-cda-corpus/snapshots/1944661030a32fea59c540fa6957aca6e60b4ae0/packs/warbler-pack-hf-arxiv/package.json +1 -0
- app.py +9 -4
- tests/test_remote_pack_loader.py +47 -0
- warbler_cda/remote_pack_loader.py +158 -9
.hf_pack_cache/datasets--Bellok--warbler-cda-corpus/blobs/45a1df9f2f9e0221d282e0ba9a65b5ac8ac41354
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@@ -0,0 +1,15 @@
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{
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"name": "warbler-pack-hf-arxiv",
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"version": "1.0.0",
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"description": "Warbler pack generated from HuggingFace datasets (chunked)",
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"created_at": "2026-04-08T12:07:25.549352",
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"document_count": 250000,
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"source": "HuggingFace",
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"content_types": [
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"scholarly_discussion"
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],
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"chunked": true,
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"chunk_count": 5,
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"docs_per_chunk": 50000,
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"chunk_pattern": "warbler-pack-hf-arxiv-chunk-*.jsonl"
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}
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.hf_pack_cache/datasets--Bellok--warbler-cda-corpus/blobs/f7cb515e761ca01d38aa98b07149c0453840d68f
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{
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"name": "warbler-pack-core",
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"version": "0.1.0",
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"description": "Core conversation pack for Warbler NPC system with essential dialogue templates",
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"main": "./dist/index.js",
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"types": "./dist/index.d.ts",
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"exports": {
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".": {
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"types": "./dist/index.d.ts",
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"import": "./dist/index.js",
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"require": "./dist/index.js"
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},
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"./templates": "./pack/templates.json"
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},
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"files": [
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"dist/**/*",
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"pack/templates.json",
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"README.md",
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"package.json"
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],
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"scripts": {
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"build": "tsc",
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"test": "echo \"Info: Content pack - no tests required\"",
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"validate": "node ../../scripts/validate-warbler-pack.mjs pack/templates.json",
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"prepublishOnly": "npm run build && npm run validate"
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},
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"keywords": [
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"warbler",
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"npc",
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"conversation",
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"dialogue",
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"templates",
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"core"
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],
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"author": "TWG Team",
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"license": "MIT",
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"dependencies": {
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"warbler-core": "^0.1.0"
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},
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"devDependencies": {
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"typescript": "^5.3.0"
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},
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"repository": {
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"type": "git",
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"url": "https://github.com/jmeyer1980/TWG-TLDA.git",
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"directory": "packs/warbler-pack-core"
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},
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"engines": {
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"node": ">=18.0.0"
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},
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"warbler": {
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"packType": "core",
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"templateCount": 8,
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"compatibleEngine": "^0.1.0"
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}
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}
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.hf_pack_cache/datasets--Bellok--warbler-cda-corpus/refs/main
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+
1944661030a32fea59c540fa6957aca6e60b4ae0
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.hf_pack_cache/datasets--Bellok--warbler-cda-corpus/snapshots/1944661030a32fea59c540fa6957aca6e60b4ae0/packs/warbler-pack-core/package.json
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../../../../blobs/f7cb515e761ca01d38aa98b07149c0453840d68f
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.hf_pack_cache/datasets--Bellok--warbler-cda-corpus/snapshots/1944661030a32fea59c540fa6957aca6e60b4ae0/packs/warbler-pack-hf-arxiv/package.json
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../../../../blobs/45a1df9f2f9e0221d282e0ba9a65b5ac8ac41354
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app.py
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@@ -9,6 +9,7 @@ Provides a web UI for the FractalStat RAG system with GPU acceleration.
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import gradio as gr
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import os
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import time
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from warbler_cda.remote_pack_loader import RemotePackLoader
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# Import the HuggingFace Spaces GPU decorator
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documents = []
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try:
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print(f"📚 Attempting to fetch packs from remote dataset repo: {REMOTE_DATASET_REPO}")
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-
remote_loader = RemotePackLoader(repo_id=REMOTE_DATASET_REPO)
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remote_packs_dir = remote_loader.fetch_packs()
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print(f"✅ Remote packs downloaded to: {remote_packs_dir}")
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pack_loader = PackLoader(packs_dir=remote_packs_dir)
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documents = pack_loader.discover_documents()
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print(f"✅ Loaded {len(documents)} documents from remote dataset repo")
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except Exception as e:
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output += "### 🕵️ Bob the Skeptic - Conflict Detection\n\n"
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# Access conflict detector if available
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conflict_detector = getattr(api, 'conflict_detector', None)
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if conflict_detector and hasattr(conflict_detector, 'get_global_conflict_summary'):
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try:
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# Recent Activity
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output += "### 📈 Recent Activity\n\n"
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-
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return output
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import gradio as gr
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import os
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import time
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from warbler_cda.remote_pack_loader import RemotePackLoader
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# Import the HuggingFace Spaces GPU decorator
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documents = []
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try:
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print(f"📚 Attempting to fetch packs from remote dataset repo: {REMOTE_DATASET_REPO}")
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remote_loader = RemotePackLoader.from_environment(repo_id=REMOTE_DATASET_REPO)
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remote_packs_dir = remote_loader.fetch_packs()
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print(f"✅ Remote packs downloaded to: {remote_packs_dir}")
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pack_loader = PackLoader.from_environment(packs_dir=remote_packs_dir)
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documents = pack_loader.discover_documents()
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print(f"✅ Loaded {len(documents)} documents from remote dataset repo")
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except Exception as e:
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output += "### 🕵️ Bob the Skeptic - Conflict Detection\n\n"
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# Access conflict detector if available
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conflict_detector = getattr(api, 'conflict_detector', None)
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if conflict_detector and hasattr(conflict_detector, 'get_global_conflict_summary'):
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try:
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# Recent Activity
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output += "### 📈 Recent Activity\n\n"
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retrieval_success_rate = metrics["system_health"].get("retrieval_success_rate")
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if retrieval_success_rate is None:
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output += "**Retrieval Success Rate:** N/A\n\n"
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else:
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output += f"**Retrieval Success Rate:** {retrieval_success_rate:.1%}\n\n"
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return output
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tests/test_remote_pack_loader.py
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from unittest.mock import patch
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def test_build_allow_patterns_limits_chunked_remote_pack_downloads():
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from warbler_cda.remote_pack_loader import RemotePackLoader
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repo_files = [
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"packs/warbler-pack-core/package.json",
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"packs/warbler-pack-core/pack/templates.json",
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"packs/warbler-pack-hf-arxiv/package.json",
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"packs/warbler-pack-hf-arxiv/warbler-pack-hf-arxiv-chunk-001.jsonl",
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"packs/warbler-pack-hf-arxiv/warbler-pack-hf-arxiv-chunk-002.jsonl",
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"packs/warbler-pack-hf-arxiv/warbler-pack-hf-arxiv-chunk-003.jsonl",
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]
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loader = RemotePackLoader(
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repo_id="Bellok/warbler-cda-corpus",
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max_documents_per_pack=5000,
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)
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with patch.object(loader, "_list_repo_files", return_value=repo_files), patch.object(
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loader,
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"_load_pack_metadata",
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side_effect=lambda pack_name: {
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"chunked": True,
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"docs_per_chunk": 50000,
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}
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if pack_name == "warbler-pack-hf-arxiv"
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else {"chunked": False},
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):
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allow_patterns = loader.build_allow_patterns()
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assert "packs/warbler-pack-core/package.json" in allow_patterns
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assert "packs/warbler-pack-core/pack/templates.json" in allow_patterns
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assert "packs/warbler-pack-hf-arxiv/package.json" in allow_patterns
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assert "packs/warbler-pack-hf-arxiv/warbler-pack-hf-arxiv-chunk-001.jsonl" in allow_patterns
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assert "packs/warbler-pack-hf-arxiv/warbler-pack-hf-arxiv-chunk-002.jsonl" not in allow_patterns
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def test_from_environment_applies_hosted_defaults_for_remote_loader():
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from warbler_cda.remote_pack_loader import RemotePackLoader
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with patch.dict("os.environ", {"SPACE_ID": "Bellok/warbler-cda"}, clear=False):
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loader = RemotePackLoader.from_environment("Bellok/warbler-cda-corpus")
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assert loader.max_documents_per_pack == 5000
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assert "warbler-pack-hf-tinystories" in loader.exclude_packs
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warbler_cda/remote_pack_loader.py
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-
"""
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import os
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from pathlib import Path
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from typing import List, Optional
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-
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class RemotePackLoader:
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-
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self.repo_id = repo_id
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self.cache_dir = cache_dir or os.getenv("HF_PACK_CACHE", ".hf_pack_cache")
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-
self.
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self.
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def fetch_packs(self) -> Path:
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"""Download the
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self.local_dir = Path(
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snapshot_download(
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repo_id=self.repo_id,
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repo_type="dataset",
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cache_dir=self.cache_dir,
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allow_patterns=
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local_files_only=False,
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-
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)
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)
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return self.local_dir / "packs"
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"""Download hosted Warbler packs selectively from a Hugging Face dataset repo."""
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import fnmatch
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import json
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import logging
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import math
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import os
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from pathlib import Path
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from typing import Dict, List, Optional
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from huggingface_hub import HfApi, hf_hub_download, snapshot_download
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logger = logging.getLogger(__name__)
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class RemotePackLoader:
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"""Download only the pack files needed for hosted-safe startup."""
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def __init__(
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self,
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repo_id: str,
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cache_dir: Optional[str] = None,
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include_packs: Optional[List[str]] = None,
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exclude_packs: Optional[List[str]] = None,
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max_documents_per_pack: Optional[int] = None,
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token: Optional[str] = None,
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):
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self.repo_id = repo_id
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self.cache_dir = cache_dir or os.getenv("HF_PACK_CACHE", ".hf_pack_cache")
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self.include_packs = include_packs or []
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self.exclude_packs = exclude_packs or []
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self.max_documents_per_pack = max_documents_per_pack
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self.local_dir: Optional[Path] = None
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self.api = HfApi(token=token)
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+
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@classmethod
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def from_environment(cls, repo_id: str):
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"""Create a remote loader configured with the same hosted-safe defaults as PackLoader."""
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include_packs = cls._split_csv_env("WARBLER_INCLUDE_PACKS")
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exclude_packs = cls._split_csv_env("WARBLER_EXCLUDE_PACKS")
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max_documents_per_pack = cls._parse_int_env("WARBLER_MAX_DOCUMENTS_PER_PACK")
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+
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if cls._is_hosted_environment():
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if not exclude_packs:
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exclude_packs = ["warbler-pack-hf-tinystories"]
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if max_documents_per_pack is None:
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max_documents_per_pack = 5000
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return cls(
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repo_id=repo_id,
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include_packs=include_packs,
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exclude_packs=exclude_packs,
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max_documents_per_pack=max_documents_per_pack,
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token=os.getenv("HF_TOKEN"),
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)
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@staticmethod
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def _is_hosted_environment() -> bool:
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hosted_flag = os.getenv("WARBLER_HOSTED_MODE", "").lower()
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return hosted_flag in {"1", "true", "yes", "on"} or bool(
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os.getenv("SPACE_ID") or os.getenv("HF_SPACE_ID")
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)
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+
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@staticmethod
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def _split_csv_env(name: str) -> List[str]:
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raw_value = os.getenv(name, "")
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return [part.strip() for part in raw_value.split(",") if part.strip()]
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+
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@staticmethod
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def _parse_int_env(name: str) -> Optional[int]:
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raw_value = os.getenv(name)
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if raw_value in (None, ""):
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return None
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try:
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return int(raw_value)
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except ValueError:
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logger.warning("Ignoring invalid integer for %s: %s", name, raw_value)
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return None
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+
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def _should_load_pack(self, pack_name: str) -> bool:
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if self.include_packs:
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included = any(fnmatch.fnmatch(pack_name, pattern) for pattern in self.include_packs)
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if not included:
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return False
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+
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if self.exclude_packs:
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excluded = any(fnmatch.fnmatch(pack_name, pattern) for pattern in self.exclude_packs)
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if excluded:
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return False
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return True
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def _list_repo_files(self) -> List[str]:
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return self.api.list_repo_files(repo_id=self.repo_id, repo_type="dataset")
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+
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def _load_pack_metadata(self, pack_name: str) -> Dict[str, object]:
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metadata_path = f"packs/{pack_name}/package.json"
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try:
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downloaded_path = hf_hub_download(
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repo_id=self.repo_id,
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repo_type="dataset",
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filename=metadata_path,
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cache_dir=self.cache_dir,
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token=os.getenv("HF_TOKEN"),
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)
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except Exception:
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return {}
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+
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try:
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return json.loads(Path(downloaded_path).read_text(encoding="utf-8"))
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except (OSError, json.JSONDecodeError):
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logger.warning("Failed to parse remote metadata for %s", pack_name)
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return {}
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+
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def build_allow_patterns(self) -> List[str]:
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"""Build a minimal file set for the selected remote packs."""
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repo_files = self._list_repo_files()
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pack_files: Dict[str, List[str]] = {}
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+
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| 120 |
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for repo_file in repo_files:
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parts = Path(repo_file).parts
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| 122 |
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if len(parts) < 3 or parts[0] != "packs":
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continue
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pack_name = parts[1]
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if not self._should_load_pack(pack_name):
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continue
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pack_files.setdefault(pack_name, []).append(repo_file)
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+
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| 129 |
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allow_patterns: List[str] = []
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for pack_name in sorted(pack_files):
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files = sorted(pack_files[pack_name])
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metadata = self._load_pack_metadata(pack_name)
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package_json = f"packs/{pack_name}/package.json"
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if package_json in files:
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allow_patterns.append(package_json)
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+
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templates_path = f"packs/{pack_name}/pack/templates.json"
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| 138 |
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if templates_path in files:
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allow_patterns.append(templates_path)
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| 140 |
+
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| 141 |
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jsonl_files = [path for path in files if path.endswith(".jsonl")]
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| 142 |
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if metadata.get("chunked"):
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docs_per_chunk = metadata.get("docs_per_chunk")
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chunk_limit = None
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| 145 |
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if self.max_documents_per_pack and isinstance(docs_per_chunk, int) and docs_per_chunk > 0:
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+
chunk_limit = max(1, math.ceil(self.max_documents_per_pack / docs_per_chunk))
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| 147 |
+
elif self.max_documents_per_pack:
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chunk_limit = 1
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+
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| 150 |
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selected_jsonl = jsonl_files[:chunk_limit] if chunk_limit is not None else jsonl_files
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| 151 |
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else:
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| 152 |
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preferred_jsonl = f"packs/{pack_name}/{pack_name}.jsonl"
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| 153 |
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selected_jsonl = [preferred_jsonl] if preferred_jsonl in jsonl_files else jsonl_files[:1]
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| 154 |
+
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| 155 |
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allow_patterns.extend(selected_jsonl)
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| 156 |
+
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| 157 |
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return allow_patterns
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| 158 |
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| 159 |
def fetch_packs(self) -> Path:
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| 160 |
+
"""Download only the selected pack files from the remote dataset repo."""
|
| 161 |
+
allow_patterns = self.build_allow_patterns()
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| 162 |
+
if not allow_patterns:
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| 163 |
+
raise RuntimeError(f"No remote pack files selected for repo {self.repo_id}")
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| 164 |
+
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| 165 |
self.local_dir = Path(
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| 166 |
snapshot_download(
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| 167 |
repo_id=self.repo_id,
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| 168 |
repo_type="dataset",
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| 169 |
cache_dir=self.cache_dir,
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| 170 |
+
allow_patterns=allow_patterns,
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| 171 |
local_files_only=False,
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| 172 |
+
token=os.getenv("HF_TOKEN"),
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| 173 |
)
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| 174 |
)
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| 175 |
return self.local_dir / "packs"
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