Update app.py
Browse files
app.py
CHANGED
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@@ -1,7 +1,8 @@
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import json
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import os
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from functools import lru_cache
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from typing import List, Optional, Tuple
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import gradio as gr
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from huggingface_hub import HfApi, hf_hub_download
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@@ -161,10 +162,130 @@ def _filter_records(repo: str, pr: str, sha: str) -> List[dict]:
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records.sort(key=_sort_key, reverse=True)
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print(f"DEBUG: Returning {len(records)} records after filtering")
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return records[:MAX_ROWS]
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return records[:MAX_ROWS]
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def
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repo = repo.strip()
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pr = pr.strip()
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sha = sha.strip()
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@@ -172,75 +293,180 @@ def query(repo: str, pr: str, sha: str) -> Tuple[List[List[str]], str, str]:
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print(f"DEBUG: Query called with repo='{repo}', pr='{pr}', sha='{sha}'")
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if not pr:
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return
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records = _filter_records(repo, pr, sha)
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print(f"DEBUG: _filter_records returned {len(records)} records")
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if not records:
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return
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metadata.get("repository", ""),
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metadata.get("branch", ""),
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metadata.get("pull_request_number", ""),
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(metadata.get("commit_sha") or "")[:12],
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metadata.get("workflow_id", ""),
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str(len(record.get("failures", []))),
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]
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)
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def refresh_dataset() -> str:
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_list_collection_files.cache_clear()
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return "Cleared cached manifest. Data will be reloaded on next search."
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gr.Markdown(
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"""
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# CircleCI Test
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Use the filters below to inspect CircleCI test aggregation records for the Transformers repository (or any
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repository that uploads data to the `transformers-community/circleci-test-results` dataset).
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"""
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)
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with gr.Row():
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with gr.Row():
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search_btn = gr.Button("Search")
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refresh_btn = gr.Button("Clear
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"
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def get_url_params(request: gr.Request):
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"""Get URL parameters from the request"""
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print(f"DEBUG: Auto-triggering search with repo={repo}, pr={pr}, sha={sha}")
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return query(repo, pr, sha)
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else:
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return
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refresh_btn.click(refresh_dataset, outputs=
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# Load URL parameters when page loads, then auto-search if PR is present
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demo.load(
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auto_search_if_params,
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inputs=[repo_box, pr_box, sha_box],
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outputs=[
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)
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if __name__ == "__main__":
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import json
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import os
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import re
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from functools import lru_cache
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from typing import List, Optional, Tuple, Dict
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import gradio as gr
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from huggingface_hub import HfApi, hf_hub_download
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records.sort(key=_sort_key, reverse=True)
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print(f"DEBUG: Returning {len(records)} records after filtering")
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return records[:MAX_ROWS]
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def _generate_summary_tables(record: dict) -> Tuple[List[List[str]], List[List[str]]]:
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"""Generate by_test and by_model summary tables from a record."""
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# By test table
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by_test_rows = []
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by_test_data = record.get("by_test", {})
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for test_name, test_info in by_test_data.items():
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count = test_info.get("count", 0)
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errors = test_info.get("errors", {})
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# Format errors as "Nx error_message" for each unique error
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error_list = [f"{cnt}Γ {err}" for err, cnt in errors.items()]
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error_str = "; ".join(error_list)
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by_test_rows.append([test_name, str(count), error_str])
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# By model table
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by_model_rows = []
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by_model_data = record.get("by_model", {})
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for model_name, model_info in by_model_data.items():
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count = model_info.get("count", 0)
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errors = model_info.get("errors", {})
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# Format errors as "Nx error_message" for each unique error
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error_list = [f"{cnt}Γ {err}" for err, cnt in errors.items()]
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error_str = "; ".join(error_list)
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by_model_rows.append([model_name, str(count), error_str])
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return by_test_rows, by_model_rows
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def _generate_markdown_summary(record: dict) -> str:
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"""Generate markdown summary for copy-paste to GitHub."""
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md = "# Failure summary\n\n"
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# By test section
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md += "## By test\n\n"
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md += "| Test | Failures | Full error(s) |\n"
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md += "| --- | --- | --- |\n"
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by_test_data = record.get("by_test", {})
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for test_name, test_info in by_test_data.items():
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count = test_info.get("count", 0)
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errors = test_info.get("errors", {})
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error_list = [f"{cnt}Γ {err}" for err, cnt in errors.items()]
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error_str = "; ".join(error_list)
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md += f"| {test_name} | {count} | {error_str} |\n"
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# By model section
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md += "\n## By model\n\n"
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md += "| Model | Failures | Full error(s) |\n"
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md += "| --- | --- | --- |\n"
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by_model_data = record.get("by_model", {})
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for model_name, model_info in by_model_data.items():
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count = model_info.get("count", 0)
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errors = model_info.get("errors", {})
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error_list = [f"{cnt}Γ {err}" for err, cnt in errors.items()]
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error_str = "; ".join(error_list)
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md += f"| {model_name} | {count} | {error_str} |\n"
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return md
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def _generate_pytest_commands(record: dict) -> str:
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"""Generate helpful pytest commands based on the failures."""
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commands = []
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by_test_data = record.get("by_test", {})
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by_model_data = record.get("by_model", {})
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# Add header
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commands.append("# Helpful pytest commands\n")
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# Commands by test name pattern
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if by_test_data:
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commands.append("## Run specific test patterns:")
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# Extract unique test name patterns (without the variants)
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test_patterns = {} # Use dict to preserve one example per pattern
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for test_name in by_test_data.keys():
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if "::" in test_name:
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parts = test_name.split("::")
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if len(parts) >= 3:
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# Extract method name without variant suffix
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method = parts[2]
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# Remove _XX_ variant suffixes (like _00_fp16_pad_left_sdpa_kernels)
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method_base = re.sub(r'_\d+_.*$', '', method)
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# Store the pattern with the original test as example
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if method_base not in test_patterns:
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test_patterns[method_base] = test_name
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# Generate commands
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for method_base in sorted(test_patterns.keys())[:5]: # Limit to 5 examples
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commands.append(f"```bash\npytest -k {method_base}\n```")
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# Add a note if there are more patterns
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if len(test_patterns) > 5:
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commands.append(f"\n*...and {len(test_patterns) - 5} more test patterns*")
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# Commands by model
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if by_model_data:
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commands.append("\n## Run tests for specific models:")
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for model_name in sorted(by_model_data.keys())[:5]: # Limit to 5 examples
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commands.append(f"```bash\npytest tests/models/{model_name}/\n```")
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# Add a note if there are more models
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if len(by_model_data) > 5:
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commands.append(f"\n*...and {len(by_model_data) - 5} more models*")
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return "\n".join(commands)
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def query(repo: str, pr: str, sha: str) -> Tuple[
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str, # metadata_info
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List[List[str]], # by_test_table
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List[List[str]], # by_model_table
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str, # markdown_summary
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str, # pytest_commands
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str, # raw_json
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str, # status
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]:
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repo = repo.strip()
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pr = pr.strip()
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sha = sha.strip()
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print(f"DEBUG: Query called with repo='{repo}', pr='{pr}', sha='{sha}'")
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if not pr:
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return (
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"**Error:** PR number is required.",
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[],
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[],
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"",
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"",
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json.dumps({"error": "PR number is required."}, indent=2),
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"β Provide a PR number to search."
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)
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records = _filter_records(repo, pr, sha)
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print(f"DEBUG: _filter_records returned {len(records)} records")
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if not records:
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return (
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f"**No records found** for PR {pr}.",
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[],
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[],
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"",
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"",
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json.dumps({"error": "No records found."}, indent=2),
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f"β No records found for PR {pr}."
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)
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# Use the latest record
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latest_record = records[0]
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metadata = latest_record.get("metadata", {})
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# Generate metadata info
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metadata_lines = [
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f"**Repository:** {metadata.get('repository', 'N/A')}",
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f"**Branch:** {metadata.get('branch', 'N/A')}",
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+
f"**PR:** #{metadata.get('pull_request_number', 'N/A')}",
|
| 329 |
+
f"**Commit:** `{metadata.get('commit_sha', 'N/A')[:12]}`",
|
| 330 |
+
f"**Workflow ID:** {metadata.get('workflow_id', 'N/A')}",
|
| 331 |
+
f"**Collected at:** {metadata.get('collected_at', 'N/A')}",
|
| 332 |
+
f"**Total failures:** {len(latest_record.get('failures', []))}",
|
| 333 |
+
]
|
| 334 |
+
metadata_info = "\n\n".join(metadata_lines)
|
| 335 |
+
|
| 336 |
+
# Generate tables
|
| 337 |
+
by_test_rows, by_model_rows = _generate_summary_tables(latest_record)
|
| 338 |
+
|
| 339 |
+
# Generate markdown summary
|
| 340 |
+
markdown_summary = _generate_markdown_summary(latest_record)
|
| 341 |
+
|
| 342 |
+
# Generate pytest commands
|
| 343 |
+
pytest_commands = _generate_pytest_commands(latest_record)
|
| 344 |
+
|
| 345 |
+
# Raw JSON
|
| 346 |
+
raw_json = json.dumps(latest_record, indent=2)
|
| 347 |
+
|
| 348 |
+
status = f"β
Showing latest result from {len(records)} record(s) for PR {pr}."
|
| 349 |
+
|
| 350 |
+
return (
|
| 351 |
+
metadata_info,
|
| 352 |
+
by_test_rows,
|
| 353 |
+
by_model_rows,
|
| 354 |
+
markdown_summary,
|
| 355 |
+
pytest_commands,
|
| 356 |
+
raw_json,
|
| 357 |
+
status
|
| 358 |
+
)
|
| 359 |
|
| 360 |
|
| 361 |
def refresh_dataset() -> str:
|
| 362 |
_list_collection_files.cache_clear()
|
| 363 |
+
return "β
Cleared cached manifest. Data will be reloaded on next search."
|
| 364 |
+
|
| 365 |
+
|
| 366 |
+
# Custom CSS for better styling
|
| 367 |
+
custom_css = """
|
| 368 |
+
.metadata-box {
|
| 369 |
+
background-color: #f6f8fa;
|
| 370 |
+
border: 1px solid #d0d7de;
|
| 371 |
+
border-radius: 6px;
|
| 372 |
+
padding: 16px;
|
| 373 |
+
margin: 8px 0;
|
| 374 |
+
}
|
| 375 |
+
.dataframe-container {
|
| 376 |
+
max-height: 500px;
|
| 377 |
+
overflow-y: auto;
|
| 378 |
+
}
|
| 379 |
+
"""
|
| 380 |
+
|
| 381 |
+
with gr.Blocks(css=custom_css, title="CircleCI Test Results Viewer") as demo:
|
| 382 |
gr.Markdown(
|
| 383 |
"""
|
| 384 |
+
# π CircleCI Test Results Viewer
|
|
|
|
|
|
|
|
|
|
| 385 |
|
| 386 |
+
Explore test failure summaries from the Transformers repository CI runs.
|
| 387 |
+
|
| 388 |
+
**Quick start:** Enter a PR number and click Search to see the latest test failures.
|
| 389 |
"""
|
| 390 |
)
|
| 391 |
|
| 392 |
with gr.Row():
|
| 393 |
+
with gr.Column(scale=1):
|
| 394 |
+
repo_box = gr.Textbox(
|
| 395 |
+
label="Repository",
|
| 396 |
+
placeholder="huggingface/transformers",
|
| 397 |
+
info="Optional: filter by repository name"
|
| 398 |
+
)
|
| 399 |
+
with gr.Column(scale=1):
|
| 400 |
+
pr_box = gr.Textbox(
|
| 401 |
+
label="PR Number",
|
| 402 |
+
placeholder="42240",
|
| 403 |
+
info="Required: PR number to search"
|
| 404 |
+
)
|
| 405 |
+
with gr.Column(scale=1):
|
| 406 |
+
sha_box = gr.Textbox(
|
| 407 |
+
label="Commit SHA",
|
| 408 |
+
placeholder="50947fc",
|
| 409 |
+
info="Optional: commit SHA prefix"
|
| 410 |
+
)
|
| 411 |
|
| 412 |
with gr.Row():
|
| 413 |
+
search_btn = gr.Button("π Search", variant="primary", scale=2)
|
| 414 |
+
refresh_btn = gr.Button("π Clear Cache", scale=1)
|
| 415 |
+
|
| 416 |
+
status_md = gr.Markdown("")
|
| 417 |
+
|
| 418 |
+
with gr.Tabs() as tabs:
|
| 419 |
+
with gr.Tab("π Summary"):
|
| 420 |
+
metadata_box = gr.Markdown(label="Metadata", elem_classes=["metadata-box"])
|
| 421 |
+
|
| 422 |
+
gr.Markdown("### π By Test")
|
| 423 |
+
by_test_table = gr.Dataframe(
|
| 424 |
+
headers=["Test", "Failures", "Full error(s)"],
|
| 425 |
+
wrap=True,
|
| 426 |
+
interactive=False,
|
| 427 |
+
elem_classes=["dataframe-container"],
|
| 428 |
+
)
|
| 429 |
+
|
| 430 |
+
gr.Markdown("### π·οΈ By Model")
|
| 431 |
+
by_model_table = gr.Dataframe(
|
| 432 |
+
headers=["Model", "Failures", "Full error(s)"],
|
| 433 |
+
wrap=True,
|
| 434 |
+
interactive=False,
|
| 435 |
+
elem_classes=["dataframe-container"],
|
| 436 |
+
)
|
| 437 |
+
|
| 438 |
+
with gr.Tab("π Copy for GitHub"):
|
| 439 |
+
gr.Markdown(
|
| 440 |
+
"""
|
| 441 |
+
Copy the markdown below to paste directly into a GitHub comment.
|
| 442 |
+
"""
|
| 443 |
+
)
|
| 444 |
+
markdown_output = gr.Textbox(
|
| 445 |
+
label="Markdown Summary",
|
| 446 |
+
lines=20,
|
| 447 |
+
max_lines=30,
|
| 448 |
+
show_copy_button=True,
|
| 449 |
+
)
|
| 450 |
+
|
| 451 |
+
with gr.Tab("π§ͺ Pytest Commands"):
|
| 452 |
+
gr.Markdown(
|
| 453 |
+
"""
|
| 454 |
+
Helpful pytest commands to run specific failing tests locally.
|
| 455 |
+
"""
|
| 456 |
+
)
|
| 457 |
+
pytest_output = gr.Markdown()
|
| 458 |
+
|
| 459 |
+
with gr.Tab("π§ Raw JSON"):
|
| 460 |
+
gr.Markdown(
|
| 461 |
+
"""
|
| 462 |
+
Full JSON data for debugging or custom processing.
|
| 463 |
+
"""
|
| 464 |
+
)
|
| 465 |
+
json_view = gr.Code(
|
| 466 |
+
label="Latest entry details",
|
| 467 |
+
language="json",
|
| 468 |
+
lines=20,
|
| 469 |
+
)
|
| 470 |
|
| 471 |
def get_url_params(request: gr.Request):
|
| 472 |
"""Get URL parameters from the request"""
|
|
|
|
| 487 |
print(f"DEBUG: Auto-triggering search with repo={repo}, pr={pr}, sha={sha}")
|
| 488 |
return query(repo, pr, sha)
|
| 489 |
else:
|
| 490 |
+
return (
|
| 491 |
+
"Enter a PR number and click Search",
|
| 492 |
+
[],
|
| 493 |
+
[],
|
| 494 |
+
"",
|
| 495 |
+
"",
|
| 496 |
+
"",
|
| 497 |
+
"π‘ Enter a PR number above to get started"
|
| 498 |
+
)
|
| 499 |
+
|
| 500 |
+
# Connect the search button
|
| 501 |
+
search_btn.click(
|
| 502 |
+
query,
|
| 503 |
+
inputs=[repo_box, pr_box, sha_box],
|
| 504 |
+
outputs=[
|
| 505 |
+
metadata_box,
|
| 506 |
+
by_test_table,
|
| 507 |
+
by_model_table,
|
| 508 |
+
markdown_output,
|
| 509 |
+
pytest_output,
|
| 510 |
+
json_view,
|
| 511 |
+
status_md
|
| 512 |
+
]
|
| 513 |
+
)
|
| 514 |
|
| 515 |
+
# Connect the refresh button
|
| 516 |
+
refresh_btn.click(refresh_dataset, outputs=status_md)
|
| 517 |
|
| 518 |
# Load URL parameters when page loads, then auto-search if PR is present
|
| 519 |
+
demo.load(
|
| 520 |
+
get_url_params,
|
| 521 |
+
outputs=[repo_box, pr_box, sha_box]
|
| 522 |
+
).then(
|
| 523 |
auto_search_if_params,
|
| 524 |
inputs=[repo_box, pr_box, sha_box],
|
| 525 |
+
outputs=[
|
| 526 |
+
metadata_box,
|
| 527 |
+
by_test_table,
|
| 528 |
+
by_model_table,
|
| 529 |
+
markdown_output,
|
| 530 |
+
pytest_output,
|
| 531 |
+
json_view,
|
| 532 |
+
status_md
|
| 533 |
+
]
|
| 534 |
+
)
|
| 535 |
+
|
| 536 |
+
gr.Markdown(
|
| 537 |
+
"""
|
| 538 |
+
---
|
| 539 |
+
|
| 540 |
+
**Data source:** [transformers-community/circleci-test-results](https://huggingface.co/datasets/transformers-community/circleci-test-results)
|
| 541 |
+
|
| 542 |
+
Files are organized as `pr-{PR}/sha-{COMMIT}/failure_summary.json`
|
| 543 |
+
"""
|
| 544 |
)
|
| 545 |
|
| 546 |
if __name__ == "__main__":
|