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Update src/storage.py
Browse files- src/storage.py +32 -50
src/storage.py
CHANGED
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@@ -3,68 +3,51 @@ import json
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import os
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from datetime import datetime
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from pathlib import Path
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from huggingface_hub import HfApi, hf_hub_download
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# ==============================
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# CONFIG
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# ==============================
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DATASET_REPO = "Usmansafder/engchain-annotations"
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HF_TOKEN = os.environ.get("HF_TOKEN") # must be set as Space secret
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if HF_TOKEN
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raise RuntimeError(
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"HF_TOKEN
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"Add it as a Space secret with write access."
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)
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api = HfApi(token=HF_TOKEN)
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return []
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with open(tmp_path, "r", encoding="utf-8") as f:
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return f.readlines()
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# MAIN API
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# ==============================
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def save_review(
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annotator_name,
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branch,
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area,
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template_name,
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scores,
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decision,
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feedback,
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):
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"""
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in a Hugging Face Dataset repository.
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"""
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# Temporary local path
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local_file = Path("/tmp") / DATA_FILE
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# Download existing dataset file if it exists
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try:
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downloaded = hf_hub_download(
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repo_id=DATASET_REPO,
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filename=
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repo_type="dataset",
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token=HF_TOKEN,
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)
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)
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except Exception:
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review_data = {
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"timestamp": datetime.now().isoformat(),
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@@ -81,17 +64,16 @@ def save_review(
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"feedback": feedback,
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}
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# Upload back to dataset repo
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api.upload_file(
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path_or_fileobj=str(local_file),
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path_in_repo=
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repo_id=DATASET_REPO,
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repo_type="dataset",
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commit_message=f"Add review
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)
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return f"hf://datasets/{DATASET_REPO}/{
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import os
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from datetime import datetime
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from pathlib import Path
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from huggingface_hub import HfApi, hf_hub_download
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DATASET_REPO = "Usmansafder/engchain-annotations"
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HF_TOKEN = os.environ.get("HF_TOKEN")
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if not HF_TOKEN:
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raise RuntimeError(
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"HF_TOKEN not set. Add it in Space Settings → Secrets with write access."
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)
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api = HfApi(token=HF_TOKEN)
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def _safe_slug(s: str) -> str:
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s = s.strip()
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s = "".join(c for c in s if c.isalnum() or c in (" ", "_", "-"))
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s = s.replace(" ", "_")
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return s or "unknown"
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def _download_json_if_exists(path_in_repo: str, local_path: Path) -> list:
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"""
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Returns list of existing reviews; empty list if file doesn't exist yet.
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"""
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try:
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downloaded = hf_hub_download(
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repo_id=DATASET_REPO,
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filename=path_in_repo,
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repo_type="dataset",
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token=HF_TOKEN,
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)
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local_path.write_text(Path(downloaded).read_text(encoding="utf-8"), encoding="utf-8")
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data = json.loads(local_path.read_text(encoding="utf-8"))
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return data if isinstance(data, list) else []
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except Exception:
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return []
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def save_review(annotator_name, branch, area, template_name, scores, decision, feedback):
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safe_name = _safe_slug(annotator_name)
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safe_branch = _safe_slug(branch)
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# Store per-reviewer, per-branch
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path_in_repo = f"reviews/{safe_name}/{safe_branch}.json"
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local_file = Path("/tmp") / f"{safe_name}_{safe_branch}.json"
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existing = _download_json_if_exists(path_in_repo, local_file)
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review_data = {
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"timestamp": datetime.now().isoformat(),
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"feedback": feedback,
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}
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existing.append(review_data)
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local_file.write_text(json.dumps(existing, ensure_ascii=False, indent=2) + "\n", encoding="utf-8")
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api.upload_file(
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path_or_fileobj=str(local_file),
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path_in_repo=path_in_repo,
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repo_id=DATASET_REPO,
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repo_type="dataset",
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commit_message=f"Add review: {safe_name} ({safe_branch})",
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)
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return f"hf://datasets/{DATASET_REPO}/{path_in_repo}"
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