- y_finance.py: replace print() with logger.warning() in bulk-stats fallback
- macro_bridge.py: add elapsed_seconds field to TickerResult, populate in
run_ticker_analysis (success + error paths)
- cli/main.py: move inline 'import time as _time' and rich.progress imports
to module level; use result.elapsed_seconds for accurate per-ticker timing
Co-authored-by: aguzererler <6199053+aguzererler@users.noreply.github.com>
Agent-Logs-Url: https://github.com/aguzererler/TradingAgents/sessions/68fcf34c-8d55-4436-b743-f79fff68713f
Before this change, the pipeline showed a generic 'Analyzing...' spinner
for the entire multi-ticker run with no way to know which ticker was
processing or whether anything was actually working.
Changes:
- macro_bridge.py:
- run_ticker_analysis: logs '▶ Starting', '✓ complete in Xs', '✗ FAILED'
with elapsed time per ticker using logger.info/logger.error
- run_all_tickers: replaced asyncio.gather (swallows all progress) with
asyncio.as_completed + optional on_ticker_done(result, done, total)
callback; uses asyncio.Semaphore for max_concurrent control
- Added time and Callable imports
- cli/main.py run_pipeline:
- Replaced Live(Spinner) with Rich Progress bar (spinner + bar + counter
+ elapsed time)
- Prints '▷ Queued: TICKER' before analysis starts for each ticker
- on_ticker_done callback prints '✓ TICKER (N/M, Xs elapsed) → decision'
or '✗ TICKER failed ...' immediately as each ticker finishes
- Prints total elapsed time when all tickers complete
* gitignore
* feat: unify report paths under reports/daily/{date}/ hierarchy
All generated artifacts now land under a single reports/ tree:
- reports/daily/{date}/market/ for scan results (was results/macro_scan/)
- reports/daily/{date}/{TICKER}/ for per-ticker analysis (was reports/{TICKER}_{timestamp}/)
- reports/daily/{date}/{TICKER}/eval/ for eval logs (was eval_results/{TICKER}/...)
Adds tradingagents/report_paths.py with centralized path helpers used by
CLI commands, trading graph, and pipeline.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* feat: structured observability logging for LLM, tool, and vendor calls
Add RunLogger (tradingagents/observability.py) that emits JSON-lines events
for every LLM call (model, agent, tokens in/out, latency), tool invocation
(tool name, args, success, latency), data vendor call (method, vendor,
success/failure, latency), and report save.
Integration points:
- route_to_vendor: log_vendor_call() on every try/catch
- run_tool_loop: log_tool_call() on every tool invoke
- ScannerGraph: new callbacks param, passes RunLogger.callback to all LLM tiers
- pipeline/macro_bridge: picks up RunLogger from thread-local, passes to TradingAgentsGraph
- cli/main.py: one RunLogger per command (analyze/scan/pipeline), write_log()
at end, summary line printed to console
Log files co-located with reports:
reports/daily/{date}/{TICKER}/run_log.jsonl (analyze)
reports/daily/{date}/market/run_log.jsonl (scan)
reports/daily/{date}/run_log.jsonl (pipeline)
Also fix test_long_response_no_nudge: update "A"*600 → "A"*2100 to match
MIN_REPORT_LENGTH=2000 threshold set in an earlier commit.
Update memory system context files (ARCHITECTURE, COMPONENTS, CONVENTIONS,
GLOSSARY, CURRENT_STATE) to document observability and report path systems.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
* feat: add extract_json() utility for robust LLM JSON parsing
Handles DeepSeek R1 <think> blocks, markdown code fences, and
preamble/postamble text that LLMs wrap around JSON output.
Applied to macro_synthesis, macro_bridge, and CLI scan output.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* feat: opt-in vendor fallback — fail-fast by default (ADR 011)
Silent cross-vendor fallback corrupts signal quality when data contracts
differ (e.g., AV news has sentiment scores yfinance lacks). Only methods
with fungible data contracts (OHLCV, indices, sector/industry perf,
market movers) now get fallback. All others raise immediately.
- Add FALLBACK_ALLOWED whitelist to interface.py
- Rewrite route_to_vendor() with fail-fast/fallback branching
- Improve error messages with method name, vendors tried, and exception chaining
- Add 11 new tests in test_vendor_failfast.py
- Update ADRs 002 (superseded), 008, 010; create ADR 011
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
The scanner pipeline now runs end-to-end: Phase 1 (geopolitical, market
movers, sector scanners in parallel via Ollama), Phase 2 (industry deep
dive), Phase 3 (macro synthesis via OpenRouter/DeepSeek R1).
Key changes:
- Add tool_runner.py with run_tool_loop() for inline tool execution in
scanner agents (scanner graph has no ToolNode, unlike trading graph)
- Fix vendor fallback: catch AlphaVantageError base class, raise on
total failure instead of embedding errors in return values
- Rewrite yfinance sector perf to use SPDR ETF proxies (Sector.overview
has no performance data)
- Fix Ollama remote host support in openai_client.py
- Add LangGraph state reducers for parallel fan-out writes
- Add --date CLI flag for non-interactive scanner invocation
- Fix .env loading to find keys from both CWD and project root
- Add hybrid LLM config (per-tier provider/backend_url)
- Add project tracking: DECISIONS.md, PROGRESS.md, MISTAKES.md
- Add 9 new test files covering exceptions, fallback, and routing
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>