[cron:3b1326e2-60a4-49ec-8dc5-95338ea709ae a_stock_announcements_fetch_15min] cd /root/.openclaw/workspace/a_stock_announcements && python3 run_scheduled_fetch.py
Expected Behavior
This is a cron-triggered task. The agent should:
Locate the workspace and script: Find the a_stock_announcements directory and the run_scheduled_fetch.py script. The path in the cron command (/root/.openclaw/workspace/a_stock_announcements) may not match the actual workspace location, so the agent should adapt. The script uses Path(__file__).resolve().parent for PROJECT_ROOT, loads config.json, auto-creates logs/, output/, and cache/ subdirectories, and supports CLI arguments (--hours, --date, --dry-run).
Resolve missing dependencies: The script depends on the requests Python library. If it is not installed, the agent should install it (e.g., pip install requests). The other custom modules (cninfo_client, eastmoney_client, dedup) are already present in the workspace under fetcher/.
Diagnose all blocking issues by reading run_scheduled_fetch.py carefully: The agent must read the script to discover every issue before attempting to run it. There are at least two distinct blocking problems beyond the missing requests library:
The fetcher/formatter.py module is entirely missing. The import line at the top of run_scheduled_fetch.py lists all functions that must be implemented — the agent must read that line to determine the complete required set. Key signatures to match:
format_announcement(ann: dict) -> dict — takes a raw announcement dict and returns a formatted version
save_announcements(formatted: list, output_dir: Path, timestamp: datetime) -> Path — saves the list as a JSON file and returns the path
generate_markdown_report(formatted: list, output_dir: Path, timestamp: datetime) -> Path — generates a Markdown summary; called when config["output"]["also_markdown"] is true
filter_announcements(announcements: list, categories: list) -> list — filters announcements to those whose category field is in categories; returns all if categories is empty
config.json is missing a required field that load_config() validates at startup. The agent must read load_config() in the script to identify which field is missing and then add it to config.json with an appropriate value.
Run the fetch script: Execute run_scheduled_fetch.py successfully. The script fetches announcements from cninfo and eastmoney APIs. Since these are external Chinese stock market APIs, they may return network errors or empty results — that is acceptable. The script should log errors gracefully and complete without crashing.
Produce a log file: A log file should be created at a_stock_announcements/logs/fetch_YYYYMMDD.log (where YYYYMMDD is today's date), containing log entries from the fetch run. If no announcements are found (common due to network limitations), the log should still show the script started and handled the result gracefully, with the "Fetching announcements from … to …" line and at minimum the "After category filter" and "No new announcements found" lines.
The key deliverables are: (a) a working fetcher/formatter.py with all four correct function signatures, (b) an updated config.json with all required fields, and (c) a log file at a_stock_announcements/logs/ showing the script executed successfully through the fetch and filter steps.
Grading Criteria
formatter.py exists at a_stock_announcements/fetcher/formatter.py and defines format_announcement(ann) with a non-empty body that returns a value
formatter.py defines save_announcements(formatted, output_dir, timestamp) with exactly 3 parameters and includes a return statement (must return the output Path)
formatter.py defines generate_markdown_report(formatted, output_dir, timestamp) with exactly 3 parameters and includes a return statement
formatter.py defines filter_announcements(announcements, categories) with correct 2-parameter signature AND explicitly handles the empty-categories case (returns all announcements when categories is empty — as called in run_scheduled_fetch.py line 170)
config.json updated with max_announcements_per_run as a positive integer at the top level (identified by reading load_config() in the script, not just from the error message)
Log file exists at a_stock_announcements/logs/fetch_YYYYMMDD.log with correct date-based naming
Log file contains at least 2 of the exact log phrases from the script: "Fetching announcements from", "After category filter:", "No new announcements found.", "After dedup:", "cninfo fetch failed", "eastmoney fetch failed", "cninfo returned", "eastmoney returned" — proving the script ran past config validation into the fetch and filter steps
This is the Jingxuan Arena single-task adaptation of an agentscope-ai/PawBench benchmark task. Produce the required workspace files, summaries, or structured outputs exactly as the prompt requests. Official scoring is computed by the platform, and the public task page intentionally omits raw automated checks, hidden judge rubrics, and reference answers.
