File size: 8,851 Bytes
db4f3b7
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
#!/usr/bin/env python3
"""Validate this release directory and upload it to a Hugging Face dataset repository."""

from __future__ import annotations

import argparse
import hashlib
import json
import re
from collections import Counter
from pathlib import Path
from typing import Any

_SPLITS = ("train", "validation", "test")
_SCHEMA = ["id", "messages", "tools"]
_UPLOAD_FILES = (
    "README.md",
    "manifest.json",
    "train.jsonl",
    "validation.jsonl",
    "test.jsonl",
    "push_to_hub.py",
    "requirements.txt",
)
_DEFAULT_RELEASE_DIR = Path(__file__).resolve().parent


def _read_object(path: Path) -> dict[str, Any]:
    value = json.loads(path.read_text(encoding="utf-8"))
    if not isinstance(value, dict):
        raise ValueError(f"JSON nesnesi bekleniyordu: {path}")
    return value


def _validate_message_shape(record_id: str, messages: object, tools: object) -> None:
    if not isinstance(messages, list) or len(messages) < 2:
        raise ValueError(f"{record_id}: messages en az iki öğe içermeli")
    if not isinstance(tools, list):
        raise ValueError(f"{record_id}: tools dizi olmalı")

    offered: set[str] = set()
    for tool in tools:
        if not isinstance(tool, dict) or tool.get("type") != "function":
            raise ValueError(f"{record_id}: geçersiz tool tanımı")
        function = tool.get("function")
        if not isinstance(function, dict) or not isinstance(function.get("name"), str):
            raise ValueError(f"{record_id}: tool function/name eksik")
        offered.add(function["name"])

    seen_call_ids: set[str] = set()
    has_user = False
    for message in messages:
        if not isinstance(message, dict):
            raise ValueError(f"{record_id}: message nesne olmalı")
        role = message.get("role")
        if role not in {"system", "user", "assistant", "tool"}:
            raise ValueError(f"{record_id}: geçersiz message role: {role}")
        has_user = has_user or role == "user"
        for call in message.get("tool_calls") or []:
            function = call.get("function") if isinstance(call, dict) else None
            if not isinstance(function, dict) or function.get("name") not in offered:
                raise ValueError(f"{record_id}: sunulmayan tool çağrısı")
            if not isinstance(function.get("arguments", {}), dict):
                raise ValueError(f"{record_id}: tool arguments nesne olmalı")
            call_id = call.get("id")
            if call_id:
                if call_id in seen_call_ids:
                    raise ValueError(f"{record_id}: yinelenen tool call id: {call_id}")
                seen_call_ids.add(call_id)
        if role == "tool" and message.get("tool_call_id") not in seen_call_ids:
            raise ValueError(f"{record_id}: bilinmeyen tool_call_id sonucu")

    if not has_user:
        raise ValueError(f"{record_id}: user mesajı yok")
    if messages[-1].get("role") != "assistant":
        raise ValueError(f"{record_id}: son mesaj assistant olmalı")


def _format_count(value: int) -> str:
    return f"{value:,}".replace(",", ".")


def _validate_readme(readme: str, counts: dict[str, int], behavior_counts: Counter[str]) -> None:
    labels = {"train": "Eğitim", "validation": "Doğrulama", "test": "Test"}
    for split, label in labels.items():
        row = f"| {label} | {_format_count(counts[split])} |"
        if row not in readme:
            raise ValueError(f"README veri bölümü sayısı güncel değil: {row}")

    total_match = re.search(r"\|\s*\*\*Toplam\*\*\s*\|\s*\*\*([^*]+)\*\*\s*\|", readme)
    expected_total = _format_count(sum(counts.values()))
    if total_match and total_match.group(1).strip() != expected_total:
        raise ValueError(f"README toplam sayısı güncel değil: {expected_total}")

    for behavior, count in behavior_counts.items():
        pattern = (
            rf"\|\s*[^|\n]+\s*\|\s*`{re.escape(behavior)}`\s*\|\s*"
            rf"{_format_count(count)}\s*\|"
        )
        if not re.search(pattern, readme):
            raise ValueError(
                f"README davranış sayısı güncel değil: {behavior}={_format_count(count)}"
            )


def validate_release(release_dir: Path) -> dict[str, Any]:
    """Fail closed before any network request."""
    missing = [name for name in _UPLOAD_FILES if not (release_dir / name).is_file()]
    if missing:
        raise FileNotFoundError(f"Eksik yayın dosyaları: {', '.join(missing)}")

    manifest = _read_object(release_dir / "manifest.json")
    if manifest.get("schema") != _SCHEMA:
        raise ValueError(f"Manifest şeması tam olarak {_SCHEMA} olmalı")
    expected_counts = manifest.get("counts")
    if not isinstance(expected_counts, dict) or set(expected_counts) != set(_SPLITS):
        raise ValueError(f"Manifest counts yalnızca {_SPLITS} splitlerini içermeli")

    seen_ids: set[str] = set()
    actual_counts: dict[str, int] = {}
    hashes: dict[str, str] = {}
    behavior_counts: Counter[str] = Counter()
    for split in _SPLITS:
        path = release_dir / f"{split}.jsonl"
        digest = hashlib.sha256()
        count = 0
        with path.open("rb") as stream:
            for line_number, raw_line in enumerate(stream, start=1):
                digest.update(raw_line)
                if not raw_line.strip():
                    raise ValueError(f"{path}:{line_number}: boş satır")
                row = json.loads(raw_line)
                if not isinstance(row, dict) or list(row) != _SCHEMA:
                    raise ValueError(f"{path}:{line_number}: alanlar tam olarak {_SCHEMA} olmalı")
                record_id = row["id"]
                if not isinstance(record_id, str) or not record_id.startswith("TRFIN-"):
                    raise ValueError(f"{path}:{line_number}: geçersiz id")
                if record_id in seen_ids:
                    raise ValueError(f"Splitler arasında yinelenen id: {record_id}")
                seen_ids.add(record_id)
                behavior = record_id.removeprefix("TRFIN-").rsplit("-", 1)[0]
                behavior_counts[behavior] += 1
                _validate_message_shape(record_id, row["messages"], row["tools"])
                count += 1
        actual_counts[split] = count
        hashes[path.name] = digest.hexdigest()

    if actual_counts != expected_counts:
        raise ValueError(
            f"Manifest sayıları uyuşmuyor: expected={expected_counts}, actual={actual_counts}"
        )
    _validate_readme(
        (release_dir / "README.md").read_text(encoding="utf-8"),
        actual_counts,
        behavior_counts,
    )
    return {
        "counts": actual_counts,
        "total": sum(actual_counts.values()),
        "sha256": hashes,
        "behaviors": dict(sorted(behavior_counts.items())),
    }


def push(
    repo_id: str,
    release_dir: Path,
    *,
    revision: str,
    private: bool,
    commit_message: str,
    dry_run: bool,
) -> dict[str, Any]:
    validation = validate_release(release_dir)
    summary = {
        "repo_id": repo_id,
        "revision": revision,
        "private": private,
        "files": list(_UPLOAD_FILES),
        **validation,
    }
    if dry_run:
        return {"dry_run": True, **summary}

    try:
        from huggingface_hub import HfApi
    except ImportError as error:
        raise RuntimeError(
            'Yükleme için `pip install "huggingface-hub>=0.26"` çalıştırın'
        ) from error

    api = HfApi()
    api.create_repo(repo_id=repo_id, repo_type="dataset", private=private, exist_ok=True)
    commit = api.upload_folder(
        repo_id=repo_id,
        repo_type="dataset",
        folder_path=release_dir,
        revision=revision,
        commit_message=commit_message,
        allow_patterns=list(_UPLOAD_FILES),
    )
    return {"dry_run": False, "commit": str(commit), **summary}


def main() -> int:
    parser = argparse.ArgumentParser(
        description="Finetool-TR yayın klasörünü doğrula ve Hugging Face'e yükle"
    )
    parser.add_argument("--repo-id", required=True, help="Örnek: kullanici/finetool-tr")
    parser.add_argument("--release-dir", type=Path, default=_DEFAULT_RELEASE_DIR)
    parser.add_argument("--revision", default="main")
    parser.add_argument("--private", action="store_true")
    parser.add_argument("--commit-message", default="FintoolDataset-TR doğrulanmış veri sürümü")
    parser.add_argument("--dry-run", action="store_true")
    args = parser.parse_args()

    result = push(
        args.repo_id,
        args.release_dir.resolve(),
        revision=args.revision,
        private=args.private,
        commit_message=args.commit_message,
        dry_run=args.dry_run,
    )
    print(json.dumps(result, ensure_ascii=False, indent=2))
    return 0


if __name__ == "__main__":
    raise SystemExit(main())