Spaces:
Sleeping
Sleeping
final touches
Browse files- Dockerfile +2 -0
- run_job.py +15 -17
- start_app.py +37 -15
Dockerfile
CHANGED
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@@ -25,3 +25,5 @@ RUN pip install -r requirements.txt
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# Run app
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ENTRYPOINT python start_app.py
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# Run app
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ENTRYPOINT python start_app.py
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# PS: Run with a variable SYSTEM=spaces to enable OAuth on Hugging Face Spaces
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run_job.py
CHANGED
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@@ -32,7 +32,6 @@ DATA_CARD = "# Dataset Card for {dst}\n\nDataset prepared from {src} using\n\n``
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def sql(src: str, dst: str, query: str, config: str = "default", split: str = "train", private: bool = False, dry_run: bool = False):
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import os
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import duckdb
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from contextlib import nullcontext
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from huggingface_hub import CommitScheduler, DatasetCard
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class CommitAndCleanScheduler(CommitScheduler):
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@@ -47,25 +46,24 @@ def sql(src: str, dst: str, query: str, config: str = "default", split: str = "t
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for path in self.last_uploaded:
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path.unlink(missing_ok=True)
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raise ValueError(f'Invalid --config "{config}" for dataset "{src}", please select a valid dataset config/subset.')
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if dry_run:
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print(f"Sample data from '{src}' that would be written to dataset '{dst}':\n")
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else:
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con.sql("PRAGMA enable_progress_bar;")
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print("done")
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if __name__ == '__main__':
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fire.Fire(sql)
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def sql(src: str, dst: str, query: str, config: str = "default", split: str = "train", private: bool = False, dry_run: bool = False):
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import os
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import duckdb
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from huggingface_hub import CommitScheduler, DatasetCard
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class CommitAndCleanScheduler(CommitScheduler):
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for path in self.last_uploaded:
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path.unlink(missing_ok=True)
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con = duckdb.connect(":memory:", config=CONFIG)
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src_kwargs = con.sql(CMD_SRC_KWARGS.format(src=src, config=config, split=split)).df().to_dict(orient="records")
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if not src_kwargs:
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raise ValueError(f'Invalid --config "{config}" for dataset "{src}", please select a valid dataset config/subset.')
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con.sql((CMD_SRC_DRY_RUN if dry_run else CMD_SRC).format(**src_kwargs[0]))
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if dry_run:
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print(f"Sample data from '{src}' that would be written to dataset '{dst}':\n")
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result = con.sql(CMD_DST_DRY_RUN.format(query=query.rstrip("\n ;")))
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print(result.df().to_markdown())
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return
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with CommitAndCleanScheduler(repo_id=dst, repo_type="dataset", folder_path="dst", path_in_repo="data", every=0.1, private=private):
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con.sql("PRAGMA enable_progress_bar;")
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result = con.sql(CMD_DST.format(query=query.rstrip("\n ;")))
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DatasetCard(DATA_CARD.format(src=src, dst=dst, query=query)).save("dst/README.md")
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print("done")
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if __name__ == '__main__':
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fire.Fire(sql)
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start_app.py
CHANGED
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@@ -1,6 +1,8 @@
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import os
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import re
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import subprocess
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import yaml
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import gradio as gr
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@@ -24,15 +26,23 @@ except Exception:
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DRY_RUN = bool(HELP) and bool(m :=re.search("--dry(-|_)run", HELP)) and m.group(0)
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def parse_log(line: str, pbars: dict[str, float]):
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if
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def dry_run(src, config, split, dst, query):
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if not all([src, config, split, dst, query]):
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@@ -77,15 +87,26 @@ def run(src, config, split, dst, query, oauth_token: gr.OAuthToken | None, profi
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pbars = {"Finished with an error β": 1.0}
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else:
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job_id = resp.json()["metadata"]["job_id"]
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resp = requests.get(
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f"https://huggingface.co/api/jobs/{username}/{job_id}/logs-stream",
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)
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for line in
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logs += parse_log(line.decode(), pbars=pbars)
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yield {output_markdown: logs, progress_labels: gr.Label(pbars, visible=bool(pbars))}
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job_status =
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if job_status["status"]["stage"] == "COMPLETED":
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pbars = {"Finished β
": 1.0}
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else:
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@@ -119,7 +140,8 @@ with gr.Blocks() as demo:
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if DRY_RUN:
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dry_run_button = gr.Button("Dry-Run")
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progress_labels= gr.Label(visible=False, label="Progress")
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run_button.click(run, inputs=[dataset_dropdown, subset_dropdown, split_dropdown, dst_dropdown, query_textarea], outputs=[progress_labels, output_markdown])
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if DRY_RUN:
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dry_run_button.click(dry_run, inputs=[dataset_dropdown, subset_dropdown, split_dropdown, dst_dropdown, query_textarea], outputs=[progress_labels, output_markdown])
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import json
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import os
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import re
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import subprocess
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import time
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import yaml
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import gradio as gr
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DRY_RUN = bool(HELP) and bool(m :=re.search("--dry(-|_)run", HELP)) and m.group(0)
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def parse_log(line: str, pbars: dict[str, float] = None):
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if line.startswith("data: {"):
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data = json.loads(line[len("data: "):])
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data, timestamp = data["data"], data["timestamp"]
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if pbars is not None and data.startswith("===== Job started at"):
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pbars.pop("Starting βοΈ", None)
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pbars["Running π"] = 0.0
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return f"[{timestamp}] {data}\n\n"
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elif pbars is not None and (percent_match := re.search("\\d+(?:\\.\\d+)?%", data)) and any(c in data.split("%")[1][:10] for c in "|ββ"):
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pbars.pop("Running π", None)
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[pbars.pop(desc) for desc, percent in pbars.items() if percent == 1.]
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percent = float(percent_match.group(0)[:-1]) / 100
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desc = data[:percent_match.start()].strip() or "Progress"
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pbars[desc] = percent
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else:
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return f"[{timestamp}] {data}\n\n"
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return ""
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def dry_run(src, config, split, dst, query):
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if not all([src, config, split, dst, query]):
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pbars = {"Finished with an error β": 1.0}
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else:
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job_id = resp.json()["metadata"]["job_id"]
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pbars = {"Starting βοΈ": 0.0}
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yield {output_markdown: logs, progress_labels: gr.Label(pbars, visible=bool(pbars))}
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resp = requests.get(
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f"https://huggingface.co/api/jobs/{username}/{job_id}/logs-stream",
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headers={"Authorization": f"Bearer {token}"},
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stream=True
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)
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for line in resp.iter_lines():
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logs += parse_log(line.decode("utf-8"), pbars=pbars)
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yield {output_markdown: logs, progress_labels: gr.Label(pbars, visible=bool(pbars))}
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job_status = {"status": {"stage": "RUNNING"}}
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while True:
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job_status = requests.get(
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f"https://huggingface.co/api/jobs/{username}/{job_id}",
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headers={"Authorization": f"Bearer {token}"}
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).json()
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if job_status["status"]["stage"] == "RUNNING":
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time.sleep(1)
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else:
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break
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if job_status["status"]["stage"] == "COMPLETED":
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pbars = {"Finished β
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else:
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if DRY_RUN:
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dry_run_button = gr.Button("Dry-Run")
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progress_labels= gr.Label(visible=False, label="Progress")
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with gr.Accordion("Details", open=False):
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output_markdown = gr.Markdown(label="Output logs")
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run_button.click(run, inputs=[dataset_dropdown, subset_dropdown, split_dropdown, dst_dropdown, query_textarea], outputs=[progress_labels, output_markdown])
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if DRY_RUN:
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dry_run_button.click(dry_run, inputs=[dataset_dropdown, subset_dropdown, split_dropdown, dst_dropdown, query_textarea], outputs=[progress_labels, output_markdown])
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