File size: 6,187 Bytes
52da7b7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 | from __future__ import annotations
import json
import re
from collections import OrderedDict
from collections.abc import Iterable
from pathlib import Path
from .streaming import CorpusPlanEntry, StreamDocument, iter_corpus_plan_documents
DEFAULT_CACHE_BYTE_LIMIT = 3 * 1024 * 1024 * 1024
DEFAULT_SHARD_BYTE_LIMIT = 256 * 1024 * 1024
_SAFE_NAME_PATTERN = re.compile(r"[^A-Za-z0-9_.-]+")
def _safe_source_name(name: str) -> str:
cleaned = _SAFE_NAME_PATTERN.sub("-", name.strip()).strip("-._")
return cleaned or "source"
def _jsonl_bytes(record: dict[str, object]) -> bytes:
return (json.dumps(record, ensure_ascii=False, separators=(",", ":")) + "\n").encode("utf-8")
def _file_entry_for_group(
*,
source: str,
path: Path,
document: StreamDocument,
rows: int,
) -> dict[str, object]:
return {
"source": "file",
"name": source,
"path": str(path.resolve()),
"limit": rows,
"weight": document.weight,
"readout_weight": document.readout_weight,
"transition_weight": document.transition_weight,
"min_words": 1,
"max_words": 0,
"min_alpha_ratio": 0.0,
"allowed_languages": [],
"streaming": True,
}
def materialize_corpus_plan(
plan: Iterable[CorpusPlanEntry],
output_dir: str | Path,
*,
max_bytes: int = DEFAULT_CACHE_BYTE_LIMIT,
shard_bytes: int = DEFAULT_SHARD_BYTE_LIMIT,
log_every: int = 0,
) -> dict[str, object]:
if max_bytes <= 0:
raise ValueError("max_bytes must be positive.")
if shard_bytes <= 0:
raise ValueError("shard_bytes must be positive.")
output = Path(output_dir)
output.mkdir(parents=True, exist_ok=True)
bytes_written = 0
documents_written = 0
source_counts: OrderedDict[str, int] = OrderedDict()
file_entries: list[dict[str, object]] = []
open_handles: dict[str, object] = {}
open_paths: dict[str, Path] = {}
open_sizes: dict[str, int] = {}
shard_indices: dict[str, int] = {}
first_documents: dict[str, StreamDocument] = {}
def close_all() -> None:
for handle in open_handles.values():
handle.close()
def open_next_shard(source: str) -> object:
handle = open_handles.pop(source, None)
if handle is not None:
handle.close()
shard_index = shard_indices.get(source, 0)
shard_indices[source] = shard_index + 1
path = output / f"{_safe_source_name(source)}-{shard_index:04d}.jsonl"
open_paths[source] = path
open_sizes[source] = 0
new_handle = path.open("w", encoding="utf-8", newline="\n")
open_handles[source] = new_handle
return new_handle
try:
for document in iter_corpus_plan_documents(plan):
source = document.source or "source"
record = {
"text": document.text,
"language": document.language,
"source": source,
}
if document.preference_rejected_text:
record["preference_rejected_text"] = document.preference_rejected_text
encoded = _jsonl_bytes(record)
if bytes_written + len(encoded) > max_bytes:
break
handle = open_handles.get(source)
if handle is None:
handle = open_next_shard(source)
if open_sizes[source] > 0 and open_sizes[source] + len(encoded) > shard_bytes:
path = open_paths[source]
rows = source_counts.get(str(path), 0)
if rows > 0:
file_entries.append(
_file_entry_for_group(
source=source,
path=path,
document=first_documents[str(path)],
rows=rows,
)
)
handle = open_next_shard(source)
path_key = str(open_paths[source])
if path_key not in first_documents:
first_documents[path_key] = document
handle.write(encoded.decode("utf-8"))
open_sizes[source] += len(encoded)
bytes_written += len(encoded)
documents_written += 1
source_counts[path_key] = source_counts.get(path_key, 0) + 1
if log_every > 0 and documents_written % log_every == 0:
print(
f"[materialize] wrote {documents_written} documents "
f"({bytes_written} bytes)",
flush=True,
)
finally:
close_all()
emitted_paths = {entry["path"] for entry in file_entries}
for path_key, rows in source_counts.items():
path = Path(path_key)
if str(path.resolve()) in emitted_paths:
continue
if rows <= 0:
continue
source = path.stem.rsplit("-", 1)[0]
file_entries.append(
_file_entry_for_group(
source=source,
path=path,
document=first_documents[path_key],
rows=rows,
)
)
plan_path = output / "materialized-plan.json"
manifest_path = output / "materialized-manifest.json"
plan_payload = {
"schema_version": "reframr.materialized_plan.v1",
"sources": file_entries,
"notes": [
"Materialized from a Reframr corpus plan with normalized JSONL rows.",
"Raw upstream dataset repositories are not cached by this file.",
],
}
manifest = {
"status": "materialized",
"documents_written": documents_written,
"bytes_written": bytes_written,
"max_bytes": max_bytes,
"shard_bytes": shard_bytes,
"source_count": len(file_entries),
"plan_path": str(plan_path.resolve()),
}
plan_path.write_text(json.dumps(plan_payload, ensure_ascii=False, indent=2) + "\n", encoding="utf-8")
manifest_path.write_text(json.dumps(manifest, ensure_ascii=False, indent=2) + "\n", encoding="utf-8")
return {**manifest, "manifest_path": str(manifest_path.resolve())}
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