Compare commits
2 Commits
fix/9-auto
...
burn/8-har
| Author | SHA1 | Date | |
|---|---|---|---|
| 9a2135b1df | |||
| b2a9bca162 |
@@ -1,10 +0,0 @@
|
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{
|
||||
"last_harvest": "2026-04-14T18:04:45.484759+00:00",
|
||||
"harvested_sessions": [
|
||||
"20260413_175935_20cb44",
|
||||
"20260413_171106_62c276",
|
||||
"20260413_181734_aed35b"
|
||||
],
|
||||
"total_sessions_processed": 3,
|
||||
"total_facts_extracted": 59
|
||||
}
|
||||
@@ -1,597 +1,6 @@
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||||
{
|
||||
"version": 1,
|
||||
"last_updated": "2026-04-14T18:04:45.484238+00:00",
|
||||
"total_facts": 59,
|
||||
"facts": [
|
||||
{
|
||||
"fact": "Error encountered with file: /private/var/folders/9k/v07xkpp133v03yynn9nx80fr0000gn/T/hermes_sandbox_z8ielhro/script.py",
|
||||
"category": "pitfall",
|
||||
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|
||||
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|
||||
"session_id": "20260413_175935_20cb44",
|
||||
"extracted_at": "2026-04-14T18:04:45.477585+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.479057+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_175935_20cb44.json"
|
||||
},
|
||||
{
|
||||
"fact": "Error encountered with file: crons.py",
|
||||
"category": "pitfall",
|
||||
"repo": "global",
|
||||
"confidence": 0.7,
|
||||
"session_id": "20260413_175935_20cb44",
|
||||
"extracted_at": "2026-04-14T18:04:45.477603+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.479059+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_175935_20cb44.json"
|
||||
},
|
||||
{
|
||||
"fact": "Error encountered with file: 300.07",
|
||||
"category": "pitfall",
|
||||
"repo": "global",
|
||||
"confidence": 0.7,
|
||||
"session_id": "20260413_175935_20cb44",
|
||||
"extracted_at": "2026-04-14T18:04:45.477614+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.479060+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_175935_20cb44.json"
|
||||
},
|
||||
{
|
||||
"fact": "Error encountered with file: /private/var/folders/9k/v07xkpp133v03yynn9nx80fr0000gn/T/hermes_sandbox__3wxy21d/script.py",
|
||||
"category": "pitfall",
|
||||
"repo": "global",
|
||||
"confidence": 0.7,
|
||||
"session_id": "20260413_175935_20cb44",
|
||||
"extracted_at": "2026-04-14T18:04:45.477622+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.479061+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_175935_20cb44.json"
|
||||
},
|
||||
{
|
||||
"fact": "Error encountered with file: /private/var/folders/9k/v07xkpp133v03yynn9nx80fr0000gn/T/hermes_sandbox_dimnu9ba/script.py",
|
||||
"category": "pitfall",
|
||||
"repo": "global",
|
||||
"confidence": 0.7,
|
||||
"session_id": "20260413_175935_20cb44",
|
||||
"extracted_at": "2026-04-14T18:04:45.477633+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.479062+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_175935_20cb44.json"
|
||||
},
|
||||
{
|
||||
"fact": "Error encountered with file: nhermes_cli/cron.py",
|
||||
"category": "pitfall",
|
||||
"repo": "global",
|
||||
"confidence": 0.7,
|
||||
"session_id": "20260413_175935_20cb44",
|
||||
"extracted_at": "2026-04-14T18:04:45.477664+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.479062+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_175935_20cb44.json"
|
||||
},
|
||||
{
|
||||
"fact": "Error encountered with file: hermes_cli/cron.py",
|
||||
"category": "pitfall",
|
||||
"repo": "global",
|
||||
"confidence": 0.7,
|
||||
"session_id": "20260413_175935_20cb44",
|
||||
"extracted_at": "2026-04-14T18:04:45.477793+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.479063+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_175935_20cb44.json"
|
||||
},
|
||||
{
|
||||
"fact": "Error encountered with file: config.yaml",
|
||||
"category": "pitfall",
|
||||
"repo": "global",
|
||||
"confidence": 0.7,
|
||||
"session_id": "20260413_175935_20cb44",
|
||||
"extracted_at": "2026-04-14T18:04:45.477921+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.479064+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_175935_20cb44.json"
|
||||
},
|
||||
{
|
||||
"fact": "Error encountered with file: ~/.hermes",
|
||||
"category": "pitfall",
|
||||
"repo": "global",
|
||||
"confidence": 0.7,
|
||||
"session_id": "20260413_175935_20cb44",
|
||||
"extracted_at": "2026-04-14T18:04:45.478092+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.479065+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_175935_20cb44.json"
|
||||
},
|
||||
{
|
||||
"fact": "Error encountered with file: ncli.py",
|
||||
"category": "pitfall",
|
||||
"repo": "global",
|
||||
"confidence": 0.7,
|
||||
"session_id": "20260413_175935_20cb44",
|
||||
"extracted_at": "2026-04-14T18:04:45.478281+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.479065+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_175935_20cb44.json"
|
||||
},
|
||||
{
|
||||
"fact": "Error encountered with file: 300.17",
|
||||
"category": "pitfall",
|
||||
"repo": "global",
|
||||
"confidence": 0.7,
|
||||
"session_id": "20260413_175935_20cb44",
|
||||
"extracted_at": "2026-04-14T18:04:45.478293+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.479066+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_175935_20cb44.json"
|
||||
},
|
||||
{
|
||||
"fact": "Error encountered with file: 10.88",
|
||||
"category": "pitfall",
|
||||
"repo": "global",
|
||||
"confidence": 0.7,
|
||||
"session_id": "20260413_175935_20cb44",
|
||||
"extracted_at": "2026-04-14T18:04:45.478370+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.479067+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_175935_20cb44.json"
|
||||
},
|
||||
{
|
||||
"fact": "Error encountered with file: k2.5",
|
||||
"category": "pitfall",
|
||||
"repo": "global",
|
||||
"confidence": 0.7,
|
||||
"session_id": "20260413_175935_20cb44",
|
||||
"extracted_at": "2026-04-14T18:04:45.478386+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.479067+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_175935_20cb44.json"
|
||||
},
|
||||
{
|
||||
"fact": "Error encountered with file: 300.92",
|
||||
"category": "pitfall",
|
||||
"repo": "global",
|
||||
"confidence": 0.7,
|
||||
"session_id": "20260413_175935_20cb44",
|
||||
"extracted_at": "2026-04-14T18:04:45.478410+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.479068+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_175935_20cb44.json"
|
||||
},
|
||||
{
|
||||
"fact": "Successful command pattern: python observatory.py --check ",
|
||||
"category": "pattern",
|
||||
"repo": "global",
|
||||
"confidence": 0.6,
|
||||
"session_id": "20260413_175935_20cb44",
|
||||
"extracted_at": "2026-04-14T18:04:45.478498+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.479069+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_175935_20cb44.json"
|
||||
},
|
||||
{
|
||||
"fact": "Error encountered with file: devkit/health.py",
|
||||
"category": "pitfall",
|
||||
"repo": "global",
|
||||
"confidence": 0.7,
|
||||
"session_id": "20260413_175935_20cb44",
|
||||
"extracted_at": "2026-04-14T18:04:45.478571+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.479069+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_175935_20cb44.json"
|
||||
},
|
||||
{
|
||||
"fact": "Error encountered with file: CHANGELOG.md",
|
||||
"category": "pitfall",
|
||||
"repo": "global",
|
||||
"confidence": 0.7,
|
||||
"session_id": "20260413_175935_20cb44",
|
||||
"extracted_at": "2026-04-14T18:04:45.478608+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.479070+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_175935_20cb44.json"
|
||||
},
|
||||
{
|
||||
"fact": "Error encountered with file: 300.06",
|
||||
"category": "pitfall",
|
||||
"repo": "global",
|
||||
"confidence": 0.7,
|
||||
"session_id": "20260413_175935_20cb44",
|
||||
"extracted_at": "2026-04-14T18:04:45.478635+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.479071+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_175935_20cb44.json"
|
||||
},
|
||||
{
|
||||
"fact": "Error encountered with file: 300.03",
|
||||
"category": "pitfall",
|
||||
"repo": "global",
|
||||
"confidence": 0.7,
|
||||
"session_id": "20260413_175935_20cb44",
|
||||
"extracted_at": "2026-04-14T18:04:45.478658+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.479072+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_175935_20cb44.json"
|
||||
},
|
||||
{
|
||||
"fact": "Error encountered with file: crons.py",
|
||||
"category": "pitfall",
|
||||
"repo": "global",
|
||||
"confidence": 0.7,
|
||||
"session_id": "20260413_175935_20cb44",
|
||||
"extracted_at": "2026-04-14T18:04:45.478703+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.479072+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_175935_20cb44.json"
|
||||
},
|
||||
{
|
||||
"fact": "Error encountered with file: crons.py",
|
||||
"category": "pitfall",
|
||||
"repo": "global",
|
||||
"confidence": 0.7,
|
||||
"session_id": "20260413_175935_20cb44",
|
||||
"extracted_at": "2026-04-14T18:04:45.478757+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.479073+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_175935_20cb44.json"
|
||||
},
|
||||
{
|
||||
"fact": "Error encountered with file: /private/var/folders/9k/v07xkpp133v03yynn9nx80fr0000gn/T/hermes_sandbox_1h5nj9lg/script.py",
|
||||
"category": "pitfall",
|
||||
"repo": "global",
|
||||
"confidence": 0.7,
|
||||
"session_id": "20260413_175935_20cb44",
|
||||
"extracted_at": "2026-04-14T18:04:45.478778+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.479074+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_175935_20cb44.json"
|
||||
},
|
||||
{
|
||||
"fact": "Error encountered with file: job.get",
|
||||
"category": "pitfall",
|
||||
"repo": "global",
|
||||
"confidence": 0.7,
|
||||
"session_id": "20260413_175935_20cb44",
|
||||
"extracted_at": "2026-04-14T18:04:45.478833+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.479074+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_175935_20cb44.json"
|
||||
},
|
||||
{
|
||||
"fact": "Error encountered with file: CreateIssueOption.Labels",
|
||||
"category": "pitfall",
|
||||
"repo": "global",
|
||||
"confidence": 0.7,
|
||||
"session_id": "20260413_175935_20cb44",
|
||||
"extracted_at": "2026-04-14T18:04:45.478975+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.479075+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_175935_20cb44.json"
|
||||
},
|
||||
{
|
||||
"fact": "Successful command pattern: git process seems to be running in this repository",
|
||||
"category": "pattern",
|
||||
"repo": "global",
|
||||
"confidence": 0.6,
|
||||
"session_id": "20260413_175935_20cb44",
|
||||
"extracted_at": "2026-04-14T18:04:45.479018+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.479076+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_175935_20cb44.json"
|
||||
},
|
||||
{
|
||||
"fact": "Error encountered with file: ~/.hermes",
|
||||
"category": "pitfall",
|
||||
"repo": "global",
|
||||
"confidence": 0.7,
|
||||
"session_id": "20260413_171106_62c276",
|
||||
"extracted_at": "2026-04-14T18:04:45.479242+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.482379+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_171106_62c276.json"
|
||||
},
|
||||
{
|
||||
"fact": "Error encountered with file: pokayoke/hermes_constants.py",
|
||||
"category": "pitfall",
|
||||
"repo": "global",
|
||||
"confidence": 0.7,
|
||||
"session_id": "20260413_171106_62c276",
|
||||
"extracted_at": "2026-04-14T18:04:45.479346+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.482380+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_171106_62c276.json"
|
||||
},
|
||||
{
|
||||
"fact": "Error encountered with file: Path.home",
|
||||
"category": "pitfall",
|
||||
"repo": "global",
|
||||
"confidence": 0.7,
|
||||
"session_id": "20260413_171106_62c276",
|
||||
"extracted_at": "2026-04-14T18:04:45.479565+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.482380+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_171106_62c276.json"
|
||||
},
|
||||
{
|
||||
"fact": "Error encountered with file: /private/var/folders/9k/v07xkpp133v03yynn9nx80fr0000gn/T/hermes_sandbox_5pwgex20/script.py",
|
||||
"category": "pitfall",
|
||||
"repo": "global",
|
||||
"confidence": 0.7,
|
||||
"session_id": "20260413_171106_62c276",
|
||||
"extracted_at": "2026-04-14T18:04:45.479901+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.482381+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_171106_62c276.json"
|
||||
},
|
||||
{
|
||||
"fact": "Error encountered with file: 300.11",
|
||||
"category": "pitfall",
|
||||
"repo": "global",
|
||||
"confidence": 0.7,
|
||||
"session_id": "20260413_171106_62c276",
|
||||
"extracted_at": "2026-04-14T18:04:45.480675+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.482382+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_171106_62c276.json"
|
||||
},
|
||||
{
|
||||
"fact": "Error encountered with file: AIAgent.__init__",
|
||||
"category": "pitfall",
|
||||
"repo": "global",
|
||||
"confidence": 0.7,
|
||||
"session_id": "20260413_171106_62c276",
|
||||
"extracted_at": "2026-04-14T18:04:45.480862+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.482383+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_171106_62c276.json"
|
||||
},
|
||||
{
|
||||
"fact": "Error encountered with file: job.ge",
|
||||
"category": "pitfall",
|
||||
"repo": "global",
|
||||
"confidence": 0.7,
|
||||
"session_id": "20260413_171106_62c276",
|
||||
"extracted_at": "2026-04-14T18:04:45.481044+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.482383+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_171106_62c276.json"
|
||||
},
|
||||
{
|
||||
"fact": "Error encountered with file: cron/scheduler.py",
|
||||
"category": "pitfall",
|
||||
"repo": "global",
|
||||
"confidence": 0.7,
|
||||
"session_id": "20260413_171106_62c276",
|
||||
"extracted_at": "2026-04-14T18:04:45.481254+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.482384+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_171106_62c276.json"
|
||||
},
|
||||
{
|
||||
"fact": "Error encountered with file: __main__.py",
|
||||
"category": "pitfall",
|
||||
"repo": "global",
|
||||
"confidence": 0.7,
|
||||
"session_id": "20260413_171106_62c276",
|
||||
"extracted_at": "2026-04-14T18:04:45.481644+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.482385+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_171106_62c276.json"
|
||||
},
|
||||
{
|
||||
"fact": "Error encountered with file: tests/test_prompt_injection_defense.py",
|
||||
"category": "pitfall",
|
||||
"repo": "global",
|
||||
"confidence": 0.7,
|
||||
"session_id": "20260413_171106_62c276",
|
||||
"extracted_at": "2026-04-14T18:04:45.481654+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.482385+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_171106_62c276.json"
|
||||
},
|
||||
{
|
||||
"fact": "Error encountered with file: /private/var/folders/9k/v07xkpp133v03yynn9nx80fr0000gn/T/hermes_sandbox_v2umc709/script.py",
|
||||
"category": "pitfall",
|
||||
"repo": "global",
|
||||
"confidence": 0.7,
|
||||
"session_id": "20260413_171106_62c276",
|
||||
"extracted_at": "2026-04-14T18:04:45.481666+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.482386+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_171106_62c276.json"
|
||||
},
|
||||
{
|
||||
"fact": "Error encountered with file: pytest.mark",
|
||||
"category": "pitfall",
|
||||
"repo": "global",
|
||||
"confidence": 0.7,
|
||||
"session_id": "20260413_171106_62c276",
|
||||
"extracted_at": "2026-04-14T18:04:45.481733+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.482387+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_171106_62c276.json"
|
||||
},
|
||||
{
|
||||
"fact": "Error encountered with file: ntests/test_prompt_injection_defense.py",
|
||||
"category": "pitfall",
|
||||
"repo": "global",
|
||||
"confidence": 0.7,
|
||||
"session_id": "20260413_171106_62c276",
|
||||
"extracted_at": "2026-04-14T18:04:45.481788+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.482388+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_171106_62c276.json"
|
||||
},
|
||||
{
|
||||
"fact": "Error encountered with file: result.get",
|
||||
"category": "pitfall",
|
||||
"repo": "global",
|
||||
"confidence": 0.7,
|
||||
"session_id": "20260413_171106_62c276",
|
||||
"extracted_at": "2026-04-14T18:04:45.481979+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.482388+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_171106_62c276.json"
|
||||
},
|
||||
{
|
||||
"fact": "Error encountered with file: concurrent.future",
|
||||
"category": "pitfall",
|
||||
"repo": "global",
|
||||
"confidence": 0.7,
|
||||
"session_id": "20260413_171106_62c276",
|
||||
"extracted_at": "2026-04-14T18:04:45.482228+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.482389+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_171106_62c276.json"
|
||||
},
|
||||
{
|
||||
"fact": "Error encountered with file: 0.0",
|
||||
"category": "pitfall",
|
||||
"repo": "global",
|
||||
"confidence": 0.7,
|
||||
"session_id": "20260413_171106_62c276",
|
||||
"extracted_at": "2026-04-14T18:04:45.482252+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.482390+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_171106_62c276.json"
|
||||
},
|
||||
{
|
||||
"fact": "Error encountered with file: /private/var/folders/9k/v07xkpp133v03yynn9nx80fr0000gn/T/hermes_sandbox_mjbblg0z/script.py",
|
||||
"category": "pitfall",
|
||||
"repo": "global",
|
||||
"confidence": 0.7,
|
||||
"session_id": "20260413_171106_62c276",
|
||||
"extracted_at": "2026-04-14T18:04:45.482315+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.482390+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_171106_62c276.json"
|
||||
},
|
||||
{
|
||||
"fact": "Error encountered with file: /private/var/folders/9k/v07xkpp133v03yynn9nx80fr0000gn/T/hermes_sandbox_u2ngkm60/script.py",
|
||||
"category": "pitfall",
|
||||
"repo": "global",
|
||||
"confidence": 0.7,
|
||||
"session_id": "20260413_181734_aed35b",
|
||||
"extracted_at": "2026-04-14T18:04:45.482463+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.484207+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_181734_aed35b.json"
|
||||
},
|
||||
{
|
||||
"fact": "Error encountered with file: /private/var/folders/9k/v07xkpp133v03yynn9nx80fr0000gn/T/hermes_sandbox_i63vbaem/script.py",
|
||||
"category": "pitfall",
|
||||
"repo": "global",
|
||||
"confidence": 0.7,
|
||||
"session_id": "20260413_181734_aed35b",
|
||||
"extracted_at": "2026-04-14T18:04:45.482569+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.484208+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_181734_aed35b.json"
|
||||
},
|
||||
{
|
||||
"fact": "Error encountered with file: 3.12",
|
||||
"category": "pitfall",
|
||||
"repo": "global",
|
||||
"confidence": 0.7,
|
||||
"session_id": "20260413_181734_aed35b",
|
||||
"extracted_at": "2026-04-14T18:04:45.482589+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.484209+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_181734_aed35b.json"
|
||||
},
|
||||
{
|
||||
"fact": "Successful command pattern: git restore --staged ",
|
||||
"category": "pattern",
|
||||
"repo": "global",
|
||||
"confidence": 0.6,
|
||||
"session_id": "20260413_181734_aed35b",
|
||||
"extracted_at": "2026-04-14T18:04:45.482629+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.484209+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_181734_aed35b.json"
|
||||
},
|
||||
{
|
||||
"fact": "Error encountered with file: forge.alexanderwhitestone",
|
||||
"category": "pitfall",
|
||||
"repo": "global",
|
||||
"confidence": 0.7,
|
||||
"session_id": "20260413_181734_aed35b",
|
||||
"extracted_at": "2026-04-14T18:04:45.482645+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.484210+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_181734_aed35b.json"
|
||||
},
|
||||
{
|
||||
"fact": "Successful command pattern: git restore --staged ",
|
||||
"category": "pattern",
|
||||
"repo": "global",
|
||||
"confidence": 0.6,
|
||||
"session_id": "20260413_181734_aed35b",
|
||||
"extracted_at": "2026-04-14T18:04:45.483301+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.484211+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_181734_aed35b.json"
|
||||
},
|
||||
{
|
||||
"fact": "Error encountered with file: ntests/test_repo_truth.py",
|
||||
"category": "pitfall",
|
||||
"repo": "global",
|
||||
"confidence": 0.7,
|
||||
"session_id": "20260413_181734_aed35b",
|
||||
"extracted_at": "2026-04-14T18:04:45.483472+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.484211+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_181734_aed35b.json"
|
||||
},
|
||||
{
|
||||
"fact": "Successful command pattern: git restore --staged ",
|
||||
"category": "pattern",
|
||||
"repo": "global",
|
||||
"confidence": 0.6,
|
||||
"session_id": "20260413_181734_aed35b",
|
||||
"extracted_at": "2026-04-14T18:04:45.483479+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.484212+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_181734_aed35b.json"
|
||||
},
|
||||
{
|
||||
"fact": "Error encountered with file: 300.02",
|
||||
"category": "pitfall",
|
||||
"repo": "global",
|
||||
"confidence": 0.7,
|
||||
"session_id": "20260413_181734_aed35b",
|
||||
"extracted_at": "2026-04-14T18:04:45.483596+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.484213+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_181734_aed35b.json"
|
||||
},
|
||||
{
|
||||
"fact": "Successful command pattern: git restore --staged ",
|
||||
"category": "pattern",
|
||||
"repo": "global",
|
||||
"confidence": 0.6,
|
||||
"session_id": "20260413_181734_aed35b",
|
||||
"extracted_at": "2026-04-14T18:04:45.483603+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.484213+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_181734_aed35b.json"
|
||||
},
|
||||
{
|
||||
"fact": "Successful command pattern: git restore --staged ",
|
||||
"category": "pattern",
|
||||
"repo": "global",
|
||||
"confidence": 0.6,
|
||||
"session_id": "20260413_181734_aed35b",
|
||||
"extracted_at": "2026-04-14T18:04:45.483697+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.484214+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_181734_aed35b.json"
|
||||
},
|
||||
{
|
||||
"fact": "Error encountered with file: 300.37",
|
||||
"category": "pitfall",
|
||||
"repo": "global",
|
||||
"confidence": 0.7,
|
||||
"session_id": "20260413_181734_aed35b",
|
||||
"extracted_at": "2026-04-14T18:04:45.483785+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.484215+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_181734_aed35b.json"
|
||||
},
|
||||
{
|
||||
"fact": "Error encountered with file: /private/var/folders/9k/v07xkpp133v03yynn9nx80fr0000gn/T/hermes_sandbox_2k0n79t8/script.py",
|
||||
"category": "pitfall",
|
||||
"repo": "global",
|
||||
"confidence": 0.7,
|
||||
"session_id": "20260413_181734_aed35b",
|
||||
"extracted_at": "2026-04-14T18:04:45.483792+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.484216+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_181734_aed35b.json"
|
||||
},
|
||||
{
|
||||
"fact": "Error encountered with file: 300.19",
|
||||
"category": "pitfall",
|
||||
"repo": "global",
|
||||
"confidence": 0.7,
|
||||
"session_id": "20260413_181734_aed35b",
|
||||
"extracted_at": "2026-04-14T18:04:45.483864+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.484216+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_181734_aed35b.json"
|
||||
},
|
||||
{
|
||||
"fact": "Error encountered with file: /private/var/folders/9k/v07xkpp133v03yynn9nx80fr0000gn/T/hermes_sandbox_qxzsy_kv/script.py",
|
||||
"category": "pitfall",
|
||||
"repo": "global",
|
||||
"confidence": 0.7,
|
||||
"session_id": "20260413_181734_aed35b",
|
||||
"extracted_at": "2026-04-14T18:04:45.483919+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.484217+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_181734_aed35b.json"
|
||||
},
|
||||
{
|
||||
"fact": "Error encountered with file: CreateIssueOption.Labels",
|
||||
"category": "pitfall",
|
||||
"repo": "global",
|
||||
"confidence": 0.7,
|
||||
"session_id": "20260413_181734_aed35b",
|
||||
"extracted_at": "2026-04-14T18:04:45.483930+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.484218+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_181734_aed35b.json"
|
||||
},
|
||||
{
|
||||
"fact": "Error encountered with file: verify_triage_status.py",
|
||||
"category": "pitfall",
|
||||
"repo": "global",
|
||||
"confidence": 0.7,
|
||||
"session_id": "20260413_181734_aed35b",
|
||||
"extracted_at": "2026-04-14T18:04:45.483963+00:00",
|
||||
"harvested_at": "2026-04-14T18:04:45.484218+00:00",
|
||||
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_181734_aed35b.json"
|
||||
}
|
||||
]
|
||||
"last_updated": "2026-04-13T20:00:00Z",
|
||||
"total_facts": 0,
|
||||
"facts": []
|
||||
}
|
||||
@@ -1,350 +1,447 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
Session Harvester for Compounding Intelligence.
|
||||
Extracts durable knowledge from completed sessions and updates the knowledge store.
|
||||
harvester.py — Extract durable knowledge from Hermes session transcripts.
|
||||
|
||||
Combines session_reader + extraction prompt + LLM inference to pull
|
||||
facts, pitfalls, patterns, and tool quirks from finished sessions.
|
||||
|
||||
Usage:
|
||||
python3 harvester.py --session ~/.hermes/sessions/session_xxx.jsonl --output knowledge/
|
||||
python3 harvester.py --batch --since 2026-04-01 --limit 100
|
||||
python3 harvester.py --session session.jsonl --dry-run # Preview without writing
|
||||
"""
|
||||
|
||||
import argparse
|
||||
import json
|
||||
import os
|
||||
import sys
|
||||
import logging
|
||||
from datetime import datetime, timezone, timedelta
|
||||
import time
|
||||
import hashlib
|
||||
from datetime import datetime, timezone
|
||||
from pathlib import Path
|
||||
from typing import List, Dict, Any, Optional
|
||||
from typing import Optional
|
||||
|
||||
# Add parent directory to path for imports
|
||||
sys.path.insert(0, str(Path(__file__).parent))
|
||||
from session_reader import SessionReader
|
||||
# Add scripts dir to path for sibling imports
|
||||
SCRIPT_DIR = Path(__file__).parent.absolute()
|
||||
sys.path.insert(0, str(SCRIPT_DIR))
|
||||
|
||||
# Configure logging
|
||||
logging.basicConfig(
|
||||
level=logging.INFO,
|
||||
format='%(asctime)s - %(levelname)s - %(message)s',
|
||||
handlers=[
|
||||
logging.FileHandler(Path(__file__).parent.parent / 'metrics' / 'harvester.log'),
|
||||
logging.StreamHandler()
|
||||
from session_reader import read_session, extract_conversation, truncate_for_context, messages_to_text
|
||||
|
||||
# --- Configuration ---
|
||||
|
||||
DEFAULT_API_BASE = os.environ.get("HARVESTER_API_BASE", "https://api.nousresearch.com/v1")
|
||||
DEFAULT_API_KEY = os.environ.get("HARVESTER_API_KEY", "")
|
||||
DEFAULT_MODEL = os.environ.get("HARVESTER_MODEL", "xiaomi/mimo-v2-pro")
|
||||
KNOWLEDGE_DIR = os.environ.get("HARVESTER_KNOWLEDGE_DIR", "knowledge")
|
||||
PROMPT_PATH = os.environ.get("HARVESTER_PROMPT_PATH", str(SCRIPT_DIR.parent / "templates" / "harvest-prompt.md"))
|
||||
|
||||
# Where to look for API keys if not set via env
|
||||
API_KEY_PATHS = [
|
||||
os.path.expanduser("~/.config/nous/key"),
|
||||
os.path.expanduser("~/.hermes/keymaxxing/active/minimax.key"),
|
||||
os.path.expanduser("~/.config/openrouter/key"),
|
||||
]
|
||||
|
||||
|
||||
def find_api_key() -> str:
|
||||
"""Find API key from common locations."""
|
||||
for path in API_KEY_PATHS:
|
||||
if os.path.exists(path):
|
||||
with open(path) as f:
|
||||
key = f.read().strip()
|
||||
if key:
|
||||
return key
|
||||
return ""
|
||||
|
||||
|
||||
def load_extraction_prompt() -> str:
|
||||
"""Load the extraction prompt template."""
|
||||
path = Path(PROMPT_PATH)
|
||||
if not path.exists():
|
||||
print(f"ERROR: Extraction prompt not found at {path}", file=sys.stderr)
|
||||
print("Expected templates/harvest-prompt.md from issue #7", file=sys.stderr)
|
||||
sys.exit(1)
|
||||
return path.read_text(encoding='utf-8')
|
||||
|
||||
|
||||
def call_llm(prompt: str, transcript: str, api_base: str, api_key: str, model: str) -> Optional[list[dict]]:
|
||||
"""Call the LLM API to extract knowledge from a transcript."""
|
||||
import urllib.request
|
||||
|
||||
messages = [
|
||||
{"role": "system", "content": prompt},
|
||||
{"role": "user", "content": f"Extract knowledge from this session transcript:\n\n{transcript}"}
|
||||
]
|
||||
)
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
payload = json.dumps({
|
||||
"model": model,
|
||||
"messages": messages,
|
||||
"temperature": 0.1, # Low temp for consistent extraction
|
||||
"max_tokens": 4096
|
||||
}).encode('utf-8')
|
||||
|
||||
req = urllib.request.Request(
|
||||
f"{api_base}/chat/completions",
|
||||
data=payload,
|
||||
headers={
|
||||
"Authorization": f"Bearer {api_key}",
|
||||
"Content-Type": "application/json"
|
||||
},
|
||||
method="POST"
|
||||
)
|
||||
|
||||
try:
|
||||
with urllib.request.urlopen(req, timeout=60) as resp:
|
||||
result = json.loads(resp.read().decode('utf-8'))
|
||||
content = result["choices"][0]["message"]["content"]
|
||||
return parse_extraction_response(content)
|
||||
except Exception as e:
|
||||
print(f"ERROR: LLM API call failed: {e}", file=sys.stderr)
|
||||
return None
|
||||
|
||||
|
||||
class KnowledgeHarvester:
|
||||
"""Extracts knowledge from completed sessions."""
|
||||
def parse_extraction_response(content: str) -> Optional[list[dict]]:
|
||||
"""Parse the LLM response to extract knowledge items.
|
||||
|
||||
def __init__(self, repo_root: str = None):
|
||||
"""Initialize the harvester."""
|
||||
if repo_root is None:
|
||||
repo_root = str(Path(__file__).parent.parent)
|
||||
self.repo_root = Path(repo_root)
|
||||
self.knowledge_dir = self.repo_root / "knowledge"
|
||||
self.index_path = self.knowledge_dir / "index.json"
|
||||
self.prompt_path = self.repo_root / "templates" / "harvest-prompt.md"
|
||||
|
||||
# Load or create knowledge index
|
||||
self.index = self._load_index()
|
||||
|
||||
# Initialize session reader
|
||||
self.reader = SessionReader()
|
||||
|
||||
# Harvest state file
|
||||
self.state_path = self.knowledge_dir / "harvest_state.json"
|
||||
self.state = self._load_state()
|
||||
Handles various response formats: raw JSON, markdown-wrapped JSON, etc.
|
||||
"""
|
||||
# Try direct JSON parse first
|
||||
try:
|
||||
data = json.loads(content)
|
||||
if isinstance(data, dict) and 'knowledge' in data:
|
||||
return data['knowledge']
|
||||
if isinstance(data, list):
|
||||
return data
|
||||
except json.JSONDecodeError:
|
||||
pass
|
||||
|
||||
def _load_index(self) -> Dict[str, Any]:
|
||||
"""Load or create the knowledge index."""
|
||||
if self.index_path.exists():
|
||||
with open(self.index_path, 'r') as f:
|
||||
return json.load(f)
|
||||
else:
|
||||
return {
|
||||
"version": 1,
|
||||
"last_updated": datetime.now(timezone.utc).isoformat(),
|
||||
"total_facts": 0,
|
||||
"facts": []
|
||||
}
|
||||
|
||||
def _save_index(self):
|
||||
"""Save the knowledge index."""
|
||||
self.index["last_updated"] = datetime.now(timezone.utc).isoformat()
|
||||
with open(self.index_path, 'w') as f:
|
||||
json.dump(self.index, f, indent=2)
|
||||
|
||||
def _load_state(self) -> Dict[str, Any]:
|
||||
"""Load harvest state."""
|
||||
if self.state_path.exists():
|
||||
with open(self.state_path, 'r') as f:
|
||||
return json.load(f)
|
||||
else:
|
||||
return {
|
||||
"last_harvest": None,
|
||||
"harvested_sessions": [],
|
||||
"total_sessions_processed": 0,
|
||||
"total_facts_extracted": 0
|
||||
}
|
||||
|
||||
def _save_state(self):
|
||||
"""Save harvest state."""
|
||||
with open(self.state_path, 'w') as f:
|
||||
json.dump(self.state, f, indent=2)
|
||||
|
||||
def get_sessions_to_harvest(self, max_age_hours: float = 24) -> List[Dict[str, Any]]:
|
||||
"""
|
||||
Get sessions that need harvesting.
|
||||
|
||||
Args:
|
||||
max_age_hours: Only harvest sessions modified within this many hours
|
||||
|
||||
Returns:
|
||||
List of session data dictionaries
|
||||
"""
|
||||
# Get sessions modified since last harvest
|
||||
since = None
|
||||
if self.state["last_harvest"]:
|
||||
try:
|
||||
since = datetime.fromisoformat(self.state["last_harvest"].replace('Z', '+00:00'))
|
||||
except (ValueError, AttributeError):
|
||||
pass
|
||||
|
||||
# If no last harvest, use max_age_hours
|
||||
if since is None:
|
||||
since = datetime.now(timezone.utc) - timedelta(hours=max_age_hours)
|
||||
|
||||
# Get recent sessions
|
||||
sessions = self.reader.list_sessions(since=since)
|
||||
|
||||
# Filter out already harvested sessions
|
||||
harvested = set(self.state["harvested_sessions"])
|
||||
to_harvest = []
|
||||
|
||||
for path in sessions:
|
||||
session = self.reader.read_session(path)
|
||||
if "error" in session:
|
||||
logger.warning(f"Error reading session {path}: {session['error']}")
|
||||
continue
|
||||
|
||||
# Skip if already harvested
|
||||
if session["session_id"] in harvested:
|
||||
continue
|
||||
|
||||
# Skip if session is still active
|
||||
if not self.reader.is_session_complete(session):
|
||||
continue
|
||||
|
||||
to_harvest.append(session)
|
||||
|
||||
return to_harvest
|
||||
|
||||
def extract_knowledge_from_session(self, session: Dict[str, Any]) -> List[Dict[str, Any]]:
|
||||
"""
|
||||
Extract knowledge from a single session.
|
||||
|
||||
This is a simplified extraction that looks for patterns in the session.
|
||||
In a full implementation, this would use an LLM with the harvest prompt.
|
||||
|
||||
Args:
|
||||
session: Session data dictionary
|
||||
|
||||
Returns:
|
||||
List of extracted knowledge items
|
||||
"""
|
||||
knowledge_items = []
|
||||
|
||||
# Get messages from session
|
||||
messages = session.get("messages", [])
|
||||
|
||||
# Simple pattern-based extraction
|
||||
for i, msg in enumerate(messages):
|
||||
if not isinstance(msg, dict):
|
||||
continue
|
||||
|
||||
role = msg.get("role", "")
|
||||
content = msg.get("content", "")
|
||||
|
||||
if not content or not isinstance(content, str):
|
||||
continue
|
||||
|
||||
# Look for error patterns
|
||||
if "error" in content.lower() or "Error" in content:
|
||||
# Extract error context
|
||||
context = content[:200] # First 200 chars
|
||||
|
||||
# Look for file paths
|
||||
import re
|
||||
file_paths = re.findall(r'[~/.]?[\w/]+\.\w+', context)
|
||||
|
||||
if file_paths:
|
||||
knowledge_items.append({
|
||||
"fact": f"Error encountered with file: {file_paths[0]}",
|
||||
"category": "pitfall",
|
||||
"repo": "global",
|
||||
"confidence": 0.7,
|
||||
"session_id": session["session_id"],
|
||||
"extracted_at": datetime.now(timezone.utc).isoformat()
|
||||
})
|
||||
|
||||
# Look for successful patterns
|
||||
if "success" in content.lower() or "Success" in content:
|
||||
# Extract success context
|
||||
context = content[:200]
|
||||
|
||||
# Look for commands or actions
|
||||
import re
|
||||
commands = re.findall(r'(?:git|npm|pip|python|curl|ssh)\s+[\w\s\-\.]+', context)
|
||||
|
||||
if commands:
|
||||
knowledge_items.append({
|
||||
"fact": f"Successful command pattern: {commands[0]}",
|
||||
"category": "pattern",
|
||||
"repo": "global",
|
||||
"confidence": 0.6,
|
||||
"session_id": session["session_id"],
|
||||
"extracted_at": datetime.now(timezone.utc).isoformat()
|
||||
})
|
||||
|
||||
return knowledge_items
|
||||
|
||||
def harvest_session(self, session: Dict[str, Any]) -> Dict[str, Any]:
|
||||
"""
|
||||
Harvest knowledge from a single session.
|
||||
|
||||
Args:
|
||||
session: Session data dictionary
|
||||
|
||||
Returns:
|
||||
Harvest result dictionary
|
||||
"""
|
||||
session_id = session["session_id"]
|
||||
logger.info(f"Harvesting session: {session_id}")
|
||||
|
||||
# Try extracting JSON from markdown code blocks
|
||||
import re
|
||||
json_match = re.search(r'```(?:json)?\s*({.*?})\s*```', content, re.DOTALL)
|
||||
if json_match:
|
||||
try:
|
||||
# Extract knowledge
|
||||
knowledge_items = self.extract_knowledge_from_session(session)
|
||||
|
||||
# Add to index
|
||||
for item in knowledge_items:
|
||||
# Add metadata
|
||||
item["harvested_at"] = datetime.now(timezone.utc).isoformat()
|
||||
item["session_path"] = session.get("path", "")
|
||||
|
||||
# Add to facts
|
||||
self.index["facts"].append(item)
|
||||
|
||||
# Update state
|
||||
self.state["harvested_sessions"].append(session_id)
|
||||
self.state["total_sessions_processed"] += 1
|
||||
self.state["total_facts_extracted"] += len(knowledge_items)
|
||||
|
||||
result = {
|
||||
"session_id": session_id,
|
||||
"success": True,
|
||||
"facts_extracted": len(knowledge_items),
|
||||
"knowledge_items": knowledge_items
|
||||
}
|
||||
|
||||
logger.info(f"Extracted {len(knowledge_items)} facts from session {session_id}")
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Error harvesting session {session_id}: {e}")
|
||||
result = {
|
||||
"session_id": session_id,
|
||||
"success": False,
|
||||
"error": str(e),
|
||||
"facts_extracted": 0
|
||||
}
|
||||
|
||||
return result
|
||||
data = json.loads(json_match.group(1))
|
||||
if isinstance(data, dict) and 'knowledge' in data:
|
||||
return data['knowledge']
|
||||
if isinstance(data, list):
|
||||
return data
|
||||
except json.JSONDecodeError:
|
||||
pass
|
||||
|
||||
def harvest_batch(self, max_sessions: int = 10, max_age_hours: float = 24) -> Dict[str, Any]:
|
||||
"""
|
||||
Harvest a batch of sessions.
|
||||
# Try finding any JSON object with knowledge array
|
||||
json_match = re.search(r'({[^{}]*"knowledge"[^{}]*[[sS]*?][^{}]*})', content)
|
||||
if json_match:
|
||||
try:
|
||||
data = json.loads(json_match.group(1))
|
||||
return data.get('knowledge', [])
|
||||
except json.JSONDecodeError:
|
||||
pass
|
||||
|
||||
print(f"WARNING: Could not parse LLM response as JSON", file=sys.stderr)
|
||||
print(f"Response preview: {content[:500]}", file=sys.stderr)
|
||||
return None
|
||||
|
||||
|
||||
def load_existing_knowledge(knowledge_dir: str) -> dict:
|
||||
"""Load the existing knowledge index."""
|
||||
index_path = Path(knowledge_dir) / "index.json"
|
||||
if not index_path.exists():
|
||||
return {"version": 1, "last_updated": "", "total_facts": 0, "facts": []}
|
||||
|
||||
try:
|
||||
with open(index_path, 'r', encoding='utf-8') as f:
|
||||
return json.load(f)
|
||||
except (json.JSONDecodeError, IOError) as e:
|
||||
print(f"WARNING: Could not load knowledge index: {e}", file=sys.stderr)
|
||||
return {"version": 1, "last_updated": "", "total_facts": 0, "facts": []}
|
||||
|
||||
|
||||
def fact_fingerprint(fact: dict) -> str:
|
||||
"""Generate a deduplication fingerprint for a fact.
|
||||
|
||||
Uses the fact text normalized (lowercase, stripped) as the key.
|
||||
Similar facts will have similar fingerprints.
|
||||
"""
|
||||
text = fact.get('fact', '').lower().strip()
|
||||
# Normalize whitespace
|
||||
text = ' '.join(text.split())
|
||||
return hashlib.md5(text.encode('utf-8')).hexdigest()
|
||||
|
||||
|
||||
def deduplicate(new_facts: list[dict], existing: list[dict], similarity_threshold: float = 0.8) -> list[dict]:
|
||||
"""Remove duplicate facts from new_facts that already exist in the knowledge store.
|
||||
|
||||
Uses fingerprint matching for exact dedup and simple overlap check for near-dupes.
|
||||
"""
|
||||
existing_fingerprints = set()
|
||||
existing_texts = []
|
||||
for f in existing:
|
||||
fp = fact_fingerprint(f)
|
||||
existing_fingerprints.add(fp)
|
||||
existing_texts.append(f.get('fact', '').lower().strip())
|
||||
|
||||
unique = []
|
||||
for fact in new_facts:
|
||||
fp = fact_fingerprint(fact)
|
||||
if fp in existing_fingerprints:
|
||||
continue
|
||||
|
||||
Args:
|
||||
max_sessions: Maximum number of sessions to harvest
|
||||
max_age_hours: Only harvest sessions modified within this many hours
|
||||
|
||||
Returns:
|
||||
Batch harvest result
|
||||
"""
|
||||
logger.info(f"Starting harvest batch (max {max_sessions} sessions, max age {max_age_hours}h)")
|
||||
# Check for near-duplicates using simple word overlap
|
||||
fact_words = set(fact.get('fact', '').lower().split())
|
||||
is_dup = False
|
||||
for existing_text in existing_texts:
|
||||
existing_words = set(existing_text.split())
|
||||
if not fact_words or not existing_words:
|
||||
continue
|
||||
overlap = len(fact_words & existing_words) / max(len(fact_words | existing_words), 1)
|
||||
if overlap >= similarity_threshold:
|
||||
is_dup = True
|
||||
break
|
||||
|
||||
# Get sessions to harvest
|
||||
sessions = self.get_sessions_to_harvest(max_age_hours)
|
||||
if not is_dup:
|
||||
unique.append(fact)
|
||||
existing_fingerprints.add(fp)
|
||||
existing_texts.append(fact.get('fact', '').lower().strip())
|
||||
|
||||
return unique
|
||||
|
||||
|
||||
def validate_fact(fact: dict) -> bool:
|
||||
"""Validate a single knowledge item has required fields."""
|
||||
required = ['fact', 'category', 'repo', 'confidence']
|
||||
for field in required:
|
||||
if field not in fact:
|
||||
return False
|
||||
|
||||
if not isinstance(fact['fact'], str) or not fact['fact'].strip():
|
||||
return False
|
||||
|
||||
valid_categories = ['fact', 'pitfall', 'pattern', 'tool-quirk', 'question']
|
||||
if fact['category'] not in valid_categories:
|
||||
return False
|
||||
|
||||
if not isinstance(fact.get('confidence', 0), (int, float)):
|
||||
return False
|
||||
|
||||
if not (0.0 <= fact['confidence'] <= 1.0):
|
||||
return False
|
||||
|
||||
return True
|
||||
|
||||
|
||||
def write_knowledge(index: dict, new_facts: list[dict], knowledge_dir: str, source_session: str = ""):
|
||||
"""Write new facts to the knowledge store."""
|
||||
kdir = Path(knowledge_dir)
|
||||
kdir.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
# Add source tracking to each fact
|
||||
for fact in new_facts:
|
||||
fact['source_session'] = source_session
|
||||
fact['harvested_at'] = datetime.now(timezone.utc).isoformat()
|
||||
|
||||
# Update index
|
||||
index['facts'].extend(new_facts)
|
||||
index['total_facts'] = len(index['facts'])
|
||||
index['last_updated'] = datetime.now(timezone.utc).isoformat()
|
||||
|
||||
# Write index
|
||||
index_path = kdir / "index.json"
|
||||
with open(index_path, 'w', encoding='utf-8') as f:
|
||||
json.dump(index, f, indent=2, ensure_ascii=False)
|
||||
|
||||
# Also write per-repo markdown files for human reading
|
||||
repos = {}
|
||||
for fact in new_facts:
|
||||
repo = fact.get('repo', 'global')
|
||||
repos.setdefault(repo, []).append(fact)
|
||||
|
||||
for repo, facts in repos.items():
|
||||
if repo == 'global':
|
||||
md_path = kdir / "global" / "harvested.md"
|
||||
else:
|
||||
md_path = kdir / "repos" / f"{repo}.md"
|
||||
|
||||
if not sessions:
|
||||
logger.info("No sessions to harvest")
|
||||
return {
|
||||
"success": True,
|
||||
"sessions_processed": 0,
|
||||
"facts_extracted": 0,
|
||||
"results": []
|
||||
}
|
||||
md_path.parent.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
# Limit to max_sessions
|
||||
sessions = sessions[:max_sessions]
|
||||
# Append to existing or create new
|
||||
mode = 'a' if md_path.exists() else 'w'
|
||||
with open(md_path, mode, encoding='utf-8') as f:
|
||||
if mode == 'w':
|
||||
f.write(f"# Knowledge: {repo}\n\n")
|
||||
f.write(f"## Harvested {datetime.now(timezone.utc).strftime('%Y-%m-%d %H:%M')}\n\n")
|
||||
for fact in facts:
|
||||
icon = {'fact': '📋', 'pitfall': '⚠️', 'pattern': '🔄', 'tool-quirk': '🔧', 'question': '❓'}.get(fact['category'], '•')
|
||||
f.write(f"- {icon} **{fact['category']}** (conf: {fact['confidence']:.1f}): {fact['fact']}\n")
|
||||
f.write("\n")
|
||||
|
||||
|
||||
def harvest_session(session_path: str, knowledge_dir: str, api_base: str, api_key: str,
|
||||
model: str, dry_run: bool = False, min_confidence: float = 0.3) -> dict:
|
||||
"""Harvest knowledge from a single session.
|
||||
|
||||
Returns: dict with stats (facts_found, facts_new, facts_dup, elapsed_seconds, error)
|
||||
"""
|
||||
start_time = time.time()
|
||||
stats = {
|
||||
'session': session_path,
|
||||
'facts_found': 0,
|
||||
'facts_new': 0,
|
||||
'facts_dup': 0,
|
||||
'elapsed_seconds': 0,
|
||||
'error': None
|
||||
}
|
||||
|
||||
try:
|
||||
# 1. Read session
|
||||
messages = read_session(session_path)
|
||||
if not messages:
|
||||
stats['error'] = "Empty session file"
|
||||
return stats
|
||||
|
||||
results = []
|
||||
total_facts = 0
|
||||
# 2. Extract conversation
|
||||
conv = extract_conversation(messages)
|
||||
if not conv:
|
||||
stats['error'] = "No conversation turns found"
|
||||
return stats
|
||||
|
||||
for session in sessions:
|
||||
result = self.harvest_session(session)
|
||||
results.append(result)
|
||||
|
||||
if result["success"]:
|
||||
total_facts += result["facts_extracted"]
|
||||
# 3. Truncate for context window
|
||||
truncated = truncate_for_context(conv, head=50, tail=50)
|
||||
transcript = messages_to_text(truncated)
|
||||
|
||||
# Update index and state
|
||||
self.index["total_facts"] = len(self.index["facts"])
|
||||
self._save_index()
|
||||
# 4. Load extraction prompt
|
||||
prompt = load_extraction_prompt()
|
||||
|
||||
self.state["last_harvest"] = datetime.now(timezone.utc).isoformat()
|
||||
self._save_state()
|
||||
# 5. Call LLM
|
||||
raw_facts = call_llm(prompt, transcript, api_base, api_key, model)
|
||||
if raw_facts is None:
|
||||
stats['error'] = "LLM extraction failed"
|
||||
return stats
|
||||
|
||||
batch_result = {
|
||||
"success": True,
|
||||
"sessions_processed": len(sessions),
|
||||
"facts_extracted": total_facts,
|
||||
"results": results,
|
||||
"timestamp": datetime.now(timezone.utc).isoformat()
|
||||
}
|
||||
# 6. Validate
|
||||
valid_facts = [f for f in raw_facts if validate_fact(f) and f.get('confidence', 0) >= min_confidence]
|
||||
stats['facts_found'] = len(valid_facts)
|
||||
|
||||
logger.info(f"Harvest batch complete: {len(sessions)} sessions, {total_facts} facts")
|
||||
# 7. Deduplicate
|
||||
existing_index = load_existing_knowledge(knowledge_dir)
|
||||
existing_facts = existing_index.get('facts', [])
|
||||
new_facts = deduplicate(valid_facts, existing_facts)
|
||||
stats['facts_new'] = len(new_facts)
|
||||
stats['facts_dup'] = len(valid_facts) - len(new_facts)
|
||||
|
||||
return batch_result
|
||||
# 8. Write (unless dry run)
|
||||
if new_facts and not dry_run:
|
||||
write_knowledge(existing_index, new_facts, knowledge_dir, source_session=session_path)
|
||||
|
||||
stats['elapsed_seconds'] = round(time.time() - start_time, 2)
|
||||
return stats
|
||||
|
||||
except Exception as e:
|
||||
stats['error'] = str(e)
|
||||
stats['elapsed_seconds'] = round(time.time() - start_time, 2)
|
||||
return stats
|
||||
|
||||
|
||||
def batch_harvest(sessions_dir: str, knowledge_dir: str, api_base: str, api_key: str,
|
||||
model: str, since: str = "", limit: int = 0, dry_run: bool = False) -> list[dict]:
|
||||
"""Harvest knowledge from multiple sessions in batch."""
|
||||
sessions_path = Path(sessions_dir)
|
||||
if not sessions_path.is_dir():
|
||||
print(f"ERROR: Sessions directory not found: {sessions_dir}", file=sys.stderr)
|
||||
return []
|
||||
|
||||
# Find session files
|
||||
session_files = sorted(sessions_path.glob("*.jsonl"), reverse=True) # Newest first
|
||||
|
||||
# Filter by date if --since provided
|
||||
if since:
|
||||
since_dt = datetime.fromisoformat(since.replace('Z', '+00:00'))
|
||||
filtered = []
|
||||
for sf in session_files:
|
||||
# Try to parse timestamp from filename (common format: session_YYYYMMDD_HHMMSS_hash.jsonl)
|
||||
try:
|
||||
parts = sf.stem.split('_')
|
||||
if len(parts) >= 3:
|
||||
date_str = parts[1]
|
||||
file_dt = datetime.strptime(date_str, '%Y%m%d').replace(tzinfo=timezone.utc)
|
||||
if file_dt >= since_dt:
|
||||
filtered.append(sf)
|
||||
except (ValueError, IndexError):
|
||||
# If we can't parse the date, include the file (be permissive)
|
||||
filtered.append(sf)
|
||||
session_files = filtered
|
||||
|
||||
# Apply limit
|
||||
if limit > 0:
|
||||
session_files = session_files[:limit]
|
||||
|
||||
print(f"Harvesting {len(session_files)} sessions...")
|
||||
|
||||
results = []
|
||||
for i, sf in enumerate(session_files, 1):
|
||||
print(f"[{i}/{len(session_files)}] {sf.name}...", end=" ", flush=True)
|
||||
stats = harvest_session(str(sf), knowledge_dir, api_base, api_key, model, dry_run)
|
||||
if stats['error']:
|
||||
print(f"ERROR: {stats['error']}")
|
||||
else:
|
||||
print(f"{stats['facts_new']} new, {stats['facts_dup']} dup ({stats['elapsed_seconds']}s)")
|
||||
results.append(stats)
|
||||
|
||||
return results
|
||||
|
||||
|
||||
def main():
|
||||
"""Main entry point for the harvester."""
|
||||
import argparse
|
||||
|
||||
parser = argparse.ArgumentParser(description="Harvest knowledge from completed sessions")
|
||||
parser.add_argument("--max-sessions", type=int, default=10, help="Maximum sessions to harvest")
|
||||
parser.add_argument("--max-age-hours", type=float, default=24, help="Max age in hours")
|
||||
parser.add_argument("--dry-run", action="store_true", help="Don't save, just report")
|
||||
parser = argparse.ArgumentParser(description="Harvest knowledge from session transcripts")
|
||||
parser.add_argument('--session', help='Path to a single session JSONL file')
|
||||
parser.add_argument('--batch', action='store_true', help='Batch mode: process multiple sessions')
|
||||
parser.add_argument('--sessions-dir', default=os.path.expanduser('~/.hermes/sessions'),
|
||||
help='Directory containing session files (default: ~/.hermes/sessions)')
|
||||
parser.add_argument('--output', default='knowledge', help='Output directory for knowledge store')
|
||||
parser.add_argument('--since', default='', help='Only process sessions after this date (YYYY-MM-DD)')
|
||||
parser.add_argument('--limit', type=int, default=0, help='Max sessions to process (0=unlimited)')
|
||||
parser.add_argument('--api-base', default=DEFAULT_API_BASE, help='LLM API base URL')
|
||||
parser.add_argument('--api-key', default='', help='LLM API key (or set HARVESTER_API_KEY)')
|
||||
parser.add_argument('--model', default=DEFAULT_MODEL, help='Model to use for extraction')
|
||||
parser.add_argument('--dry-run', action='store_true', help='Preview without writing to knowledge store')
|
||||
parser.add_argument('--min-confidence', type=float, default=0.3, help='Minimum confidence threshold')
|
||||
|
||||
args = parser.parse_args()
|
||||
|
||||
harvester = KnowledgeHarvester()
|
||||
# Resolve API key
|
||||
api_key = args.api_key or DEFAULT_API_KEY or find_api_key()
|
||||
if not api_key:
|
||||
print("ERROR: No API key found. Set HARVESTER_API_KEY or store in one of:", file=sys.stderr)
|
||||
for p in API_KEY_PATHS:
|
||||
print(f" {p}", file=sys.stderr)
|
||||
sys.exit(1)
|
||||
|
||||
if args.dry_run:
|
||||
sessions = harvester.get_sessions_to_harvest(args.max_age_hours)
|
||||
print(f"Would harvest {len(sessions)} sessions:")
|
||||
for session in sessions[:5]: # Show first 5
|
||||
print(f" - {session['session_id']} ({session['message_count']} messages)")
|
||||
if len(sessions) > 5:
|
||||
print(f" ... and {len(sessions) - 5} more")
|
||||
return
|
||||
# Resolve knowledge directory
|
||||
knowledge_dir = args.output
|
||||
if not os.path.isabs(knowledge_dir):
|
||||
knowledge_dir = os.path.join(SCRIPT_DIR.parent, knowledge_dir)
|
||||
|
||||
result = harvester.harvest_batch(
|
||||
max_sessions=args.max_sessions,
|
||||
max_age_hours=args.max_age_hours
|
||||
)
|
||||
|
||||
if result["success"]:
|
||||
print(f"Harvest complete: {result['sessions_processed']} sessions, {result['facts_extracted']} facts")
|
||||
if args.session:
|
||||
# Single session mode
|
||||
stats = harvest_session(
|
||||
args.session, knowledge_dir, args.api_base, api_key, args.model,
|
||||
dry_run=args.dry_run, min_confidence=args.min_confidence
|
||||
)
|
||||
print(json.dumps(stats, indent=2))
|
||||
if stats['error']:
|
||||
sys.exit(1)
|
||||
elif args.batch:
|
||||
# Batch mode
|
||||
results = batch_harvest(
|
||||
args.sessions_dir, knowledge_dir, args.api_base, api_key, args.model,
|
||||
since=args.since, limit=args.limit, dry_run=args.dry_run
|
||||
)
|
||||
total_new = sum(r['facts_new'] for r in results)
|
||||
total_dup = sum(r['facts_dup'] for r in results)
|
||||
errors = sum(1 for r in results if r['error'])
|
||||
print(f"\nDone: {total_new} new facts, {total_dup} duplicates, {errors} errors")
|
||||
else:
|
||||
print(f"Harvest failed: {result.get('error', 'Unknown error')}")
|
||||
parser.print_help()
|
||||
sys.exit(1)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
if __name__ == '__main__':
|
||||
main()
|
||||
|
||||
@@ -1,194 +1,142 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
Session reader for Compounding Intelligence.
|
||||
Reads and parses Hermes session files from ~/.hermes/sessions/.
|
||||
session_reader.py — Parse Hermes session JSONL transcripts.
|
||||
|
||||
Each line in a session file is a JSON object representing a message.
|
||||
Standard fields: role (user|assistant|system), content (str), timestamp (str).
|
||||
Tool calls and tool results are also captured.
|
||||
"""
|
||||
|
||||
import json
|
||||
import os
|
||||
from datetime import datetime, timezone
|
||||
import sys
|
||||
from pathlib import Path
|
||||
from typing import List, Dict, Any, Optional
|
||||
from typing import Iterator, Optional
|
||||
|
||||
|
||||
class SessionReader:
|
||||
"""Reads and parses Hermes session files."""
|
||||
|
||||
def __init__(self, sessions_dir: str = None):
|
||||
"""Initialize with sessions directory path."""
|
||||
if sessions_dir is None:
|
||||
sessions_dir = os.path.expanduser("~/.hermes/sessions")
|
||||
self.sessions_dir = Path(sessions_dir)
|
||||
self.supported_extensions = {'.json', '.jsonl'}
|
||||
|
||||
def list_sessions(self, since: Optional[datetime] = None, limit: int = None) -> List[Path]:
|
||||
"""
|
||||
List session files, optionally filtered by modification time.
|
||||
|
||||
Args:
|
||||
since: Only return sessions modified after this datetime
|
||||
limit: Maximum number of sessions to return
|
||||
|
||||
Returns:
|
||||
List of Path objects to session files
|
||||
"""
|
||||
if not self.sessions_dir.exists():
|
||||
return []
|
||||
|
||||
sessions = []
|
||||
for f in self.sessions_dir.iterdir():
|
||||
if f.suffix in self.supported_extensions:
|
||||
if since is not None:
|
||||
mtime = datetime.fromtimestamp(f.stat().st_mtime, tz=timezone.utc)
|
||||
if mtime <= since:
|
||||
continue
|
||||
sessions.append(f)
|
||||
|
||||
# Sort by modification time (newest first)
|
||||
sessions.sort(key=lambda p: p.stat().st_mtime, reverse=True)
|
||||
|
||||
if limit:
|
||||
sessions = sessions[:limit]
|
||||
|
||||
return sessions
|
||||
|
||||
def read_session(self, path: Path) -> Dict[str, Any]:
|
||||
"""
|
||||
Read a session file and return structured data.
|
||||
|
||||
Args:
|
||||
path: Path to session file
|
||||
|
||||
Returns:
|
||||
Dictionary with session data
|
||||
"""
|
||||
try:
|
||||
if path.suffix == '.jsonl':
|
||||
return self._read_jsonl_session(path)
|
||||
elif path.suffix == '.json':
|
||||
return self._read_json_session(path)
|
||||
else:
|
||||
return {"error": f"Unsupported format: {path.suffix}"}
|
||||
except Exception as e:
|
||||
return {"error": str(e), "path": str(path)}
|
||||
|
||||
def _read_json_session(self, path: Path) -> Dict[str, Any]:
|
||||
"""Read a JSON format session file."""
|
||||
with open(path, 'r') as f:
|
||||
data = json.load(f)
|
||||
|
||||
return {
|
||||
"session_id": data.get("session_id", path.stem),
|
||||
"model": data.get("model", "unknown"),
|
||||
"created_at": data.get("session_start"),
|
||||
"last_updated": data.get("last_updated"),
|
||||
"message_count": data.get("message_count", len(data.get("messages", []))),
|
||||
"messages": data.get("messages", []),
|
||||
"path": str(path),
|
||||
"format": "json"
|
||||
}
|
||||
|
||||
def _read_jsonl_session(self, path: Path) -> Dict[str, Any]:
|
||||
"""Read a JSONL format session file."""
|
||||
messages = []
|
||||
session_meta = None
|
||||
|
||||
with open(path, 'r') as f:
|
||||
for line in f:
|
||||
line = line.strip()
|
||||
if not line:
|
||||
continue
|
||||
try:
|
||||
entry = json.loads(line)
|
||||
if entry.get("role") == "session_meta":
|
||||
session_meta = entry
|
||||
else:
|
||||
messages.append(entry)
|
||||
except json.JSONDecodeError:
|
||||
continue
|
||||
|
||||
session_id = path.stem
|
||||
if session_meta:
|
||||
session_id = session_meta.get("session_id", session_id)
|
||||
|
||||
return {
|
||||
"session_id": session_id,
|
||||
"model": session_meta.get("model", "unknown") if session_meta else "unknown",
|
||||
"created_at": session_meta.get("timestamp") if session_meta else None,
|
||||
"last_updated": messages[-1].get("timestamp") if messages else None,
|
||||
"message_count": len(messages),
|
||||
"messages": messages,
|
||||
"path": str(path),
|
||||
"format": "jsonl",
|
||||
"meta": session_meta
|
||||
}
|
||||
|
||||
def get_session_age_hours(self, session_data: Dict[str, Any]) -> float:
|
||||
"""Get session age in hours."""
|
||||
last_updated = session_data.get("last_updated")
|
||||
if not last_updated:
|
||||
return float('inf')
|
||||
|
||||
try:
|
||||
if isinstance(last_updated, str):
|
||||
# Handle various timestamp formats
|
||||
for fmt in [
|
||||
"%Y-%m-%dT%H:%M:%S.%fZ",
|
||||
"%Y-%m-%dT%H:%M:%SZ",
|
||||
"%Y-%m-%dT%H:%M:%S.%f",
|
||||
"%Y-%m-%dT%H:%M:%S"
|
||||
]:
|
||||
try:
|
||||
dt = datetime.strptime(last_updated, fmt)
|
||||
dt = dt.replace(tzinfo=timezone.utc)
|
||||
break
|
||||
except ValueError:
|
||||
continue
|
||||
else:
|
||||
# Try parsing with fromisoformat
|
||||
dt = datetime.fromisoformat(last_updated.replace('Z', '+00:00'))
|
||||
else:
|
||||
dt = last_updated
|
||||
|
||||
now = datetime.now(timezone.utc)
|
||||
age = now - dt
|
||||
return age.total_seconds() / 3600
|
||||
except Exception:
|
||||
return float('inf')
|
||||
|
||||
def is_session_complete(self, session_data: Dict[str, Any]) -> bool:
|
||||
"""
|
||||
Check if a session appears to be complete (not actively running).
|
||||
|
||||
Heuristic: If last update was more than 5 minutes ago, consider it complete.
|
||||
"""
|
||||
age_hours = self.get_session_age_hours(session_data)
|
||||
return age_hours > (5 / 60) # 5 minutes
|
||||
def read_session(path: str) -> list[dict]:
|
||||
"""Read a session JSONL file and return all messages as a list."""
|
||||
messages = []
|
||||
with open(path, 'r', encoding='utf-8') as f:
|
||||
for line_num, line in enumerate(f, 1):
|
||||
line = line.strip()
|
||||
if not line:
|
||||
continue
|
||||
try:
|
||||
msg = json.loads(line)
|
||||
messages.append(msg)
|
||||
except json.JSONDecodeError as e:
|
||||
print(f"WARNING: Skipping malformed JSON at line {line_num}: {e}", file=sys.stderr)
|
||||
return messages
|
||||
|
||||
|
||||
def main():
|
||||
"""Test the session reader."""
|
||||
reader = SessionReader()
|
||||
|
||||
# List recent sessions
|
||||
sessions = reader.list_sessions(limit=5)
|
||||
print(f"Found {len(sessions)} recent sessions")
|
||||
|
||||
for path in sessions:
|
||||
session = reader.read_session(path)
|
||||
if "error" in session:
|
||||
print(f"Error reading {path}: {session['error']}")
|
||||
continue
|
||||
|
||||
age_hours = reader.get_session_age_hours(session)
|
||||
complete = reader.is_session_complete(session)
|
||||
|
||||
print(f"\nSession: {session['session_id']}")
|
||||
print(f" Model: {session['model']}")
|
||||
print(f" Messages: {session['message_count']}")
|
||||
print(f" Age: {age_hours:.1f} hours")
|
||||
print(f" Complete: {complete}")
|
||||
def read_session_iter(path: str) -> Iterator[dict]:
|
||||
"""Iterate over session messages without loading all into memory."""
|
||||
with open(path, 'r', encoding='utf-8') as f:
|
||||
for line_num, line in enumerate(f, 1):
|
||||
line = line.strip()
|
||||
if not line:
|
||||
continue
|
||||
try:
|
||||
yield json.loads(line)
|
||||
except json.JSONDecodeError as e:
|
||||
print(f"WARNING: Skipping malformed JSON at line {line_num}: {e}", file=sys.stderr)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
def extract_conversation(messages: list[dict]) -> list[dict]:
|
||||
"""Extract user/assistant conversation turns, skipping tool-only messages."""
|
||||
conversation = []
|
||||
for msg in messages:
|
||||
role = msg.get('role', '')
|
||||
content = msg.get('content', '')
|
||||
|
||||
# Skip empty messages and pure tool calls
|
||||
if role in ('user', 'assistant', 'system'):
|
||||
if isinstance(content, str) and content.strip():
|
||||
conversation.append({
|
||||
'role': role,
|
||||
'content': content.strip(),
|
||||
'timestamp': msg.get('timestamp', '')
|
||||
})
|
||||
elif isinstance(content, list):
|
||||
# Multimodal content — extract text parts
|
||||
text_parts = []
|
||||
for part in content:
|
||||
if isinstance(part, dict) and part.get('type') == 'text':
|
||||
text_parts.append(part.get('text', ''))
|
||||
if text_parts:
|
||||
conversation.append({
|
||||
'role': role,
|
||||
'content': '\n'.join(text_parts),
|
||||
'timestamp': msg.get('timestamp', '')
|
||||
})
|
||||
return conversation
|
||||
|
||||
|
||||
def truncate_for_context(messages: list[dict], head: int = 50, tail: int = 50) -> list[dict]:
|
||||
"""Truncate long sessions: keep first N + last N messages.
|
||||
|
||||
This preserves session start (initial context) and end (final results),
|
||||
skipping the messy middle of long debugging sessions.
|
||||
"""
|
||||
if len(messages) <= head + tail:
|
||||
return messages
|
||||
|
||||
truncated = messages[:head]
|
||||
truncated.append({
|
||||
'role': 'system',
|
||||
'content': f'[{len(messages) - head - tail} messages truncated]',
|
||||
'timestamp': ''
|
||||
})
|
||||
truncated.extend(messages[-tail:])
|
||||
return truncated
|
||||
|
||||
|
||||
def messages_to_text(messages: list[dict]) -> str:
|
||||
"""Convert message list to plain text for LLM consumption."""
|
||||
lines = []
|
||||
for msg in messages:
|
||||
role = msg.get('role', 'unknown').upper()
|
||||
content = msg.get('content', '')
|
||||
if msg.get('role') == 'system' and 'truncated' in content:
|
||||
lines.append(f'--- {content} ---')
|
||||
else:
|
||||
lines.append(f'{role}: {content}')
|
||||
return '\n\n'.join(lines)
|
||||
|
||||
|
||||
def get_session_metadata(path: str) -> dict:
|
||||
"""Extract metadata from a session file (first message often has config info)."""
|
||||
messages = read_session(path)
|
||||
if not messages:
|
||||
return {'path': path, 'message_count': 0}
|
||||
|
||||
first = messages[0]
|
||||
last = messages[-1]
|
||||
|
||||
return {
|
||||
'path': path,
|
||||
'message_count': len(messages),
|
||||
'first_timestamp': first.get('timestamp', ''),
|
||||
'last_timestamp': last.get('timestamp', ''),
|
||||
'first_role': first.get('role', ''),
|
||||
'has_tool_calls': any(m.get('tool_calls') for m in messages),
|
||||
}
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
if len(sys.argv) < 2:
|
||||
print(f"Usage: {sys.argv[0]} <session.jsonl>")
|
||||
sys.exit(1)
|
||||
|
||||
path = sys.argv[1]
|
||||
meta = get_session_metadata(path)
|
||||
print(json.dumps(meta, indent=2))
|
||||
|
||||
messages = read_session(path)
|
||||
conv = extract_conversation(messages)
|
||||
print(f"\nConversation: {len(conv)} turns")
|
||||
|
||||
truncated = truncate_for_context(conv)
|
||||
print(f"After truncation: {len(truncated)} turns")
|
||||
print(f"\nPreview (first 500 chars):")
|
||||
print(messages_to_text(truncated[:5])[:500])
|
||||
|
||||
Reference in New Issue
Block a user