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2025-08-20 15:38:22 -05:00
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PROGRESS.md
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## Phase 2: Data Storage
9. [x] Create `data_storage.py`
10. [x] Implement data storage functions in `data_storage.py`
11. [x] Update `monitor_agent.py` to use data storage
12. [x] Update `SPEC.md` to reflect data storage functionality
9. [x] Implement data storage functions in `data_storage.py`
10. [x] Update `monitor_agent.py` to use data storage
11. [x] Update `SPEC.md` to reflect data storage functionality
## Phase 3: Expanded Monitoring
13. [x] Implement CPU temperature monitoring
14. [x] Implement GPU temperature monitoring
15. [x] Implement system login attempt monitoring
16. [x] Update `monitor_agent.py` to include new metrics
17. [x] Update `SPEC.md` to reflect new metrics
18. [x] Extend `calculate_baselines` to include system temps
12. [x] Implement CPU temperature monitoring
13. [x] Implement GPU temperature monitoring
14. [x] Implement system login attempt monitoring
15. [x] Update `monitor_agent.py` to include new metrics
16. [x] Update `SPEC.md` to reflect new metrics
17. [x] Extend `calculate_baselines` to include system temps
## Phase 4: Troubleshooting
19. [x] Investigated and resolved issue with `jc` library
20. [x] Removed `jc` library as a dependency
21. [x] Implemented manual parsing of `sensors` command output
18. [x] Investigated and resolved issue with `jc` library
19. [x] Removed `jc` library as a dependency
20. [x] Implemented manual parsing of `sensors` command output
## Tasks Already Done
## Phase 5: Network Scanning (Nmap Integration)
[x] Ensure we aren't using mockdata for get_system_logs() and get_network_metrics()
[x] Improve `get_system_logs()` to read new lines since last check
[x] Improve `get_network_metrics()` by using a library like `pingparsing`
[x] Ensure we are including CONSTRAINTS.md in our analyze_data_with_llm() function
[x] Summarize entire report into a single sentence to said to Home Assistant
[x] Figure out why Home Assitant isn't using the speaker
21. [x] Add `python-nmap` to `requirements.txt` and install.
22. [x] Define `NMAP_TARGETS` and `NMAP_SCAN_OPTIONS` in `config.py`.
23. [x] Create a new function `get_nmap_scan_results()` in `monitor_agent.py`:
* [x] Use `python-nmap` to perform a scan on the defined targets with the specified options.
* [x] Return the parsed results.
24. [x] Integrate `get_nmap_scan_results()` into the main monitoring loop:
* [x] Call this function periodically (e.g., less frequently than other metrics).
* [x] Add the `nmap` results to the `combined_data` dictionary.
25. [x] Update `data_storage.py` to store `nmap` results.
26. [x] Extend `calculate_baselines()` in `data_storage.py` to include `nmap` baselines:
* [x] Compare current `nmap` results with historical data to identify changes.
27. [x] Modify `analyze_data_with_llm()` prompt to include `nmap` scan results for analysis.
28. [x] Consider how to handle `nmap` permissions.
29. [x] Improve Nmap data logging to include IP addresses, open ports, and service details.
## Keeping track of Current Objectives
## Phase 6: Code Refactoring and Documentation
30. [x] Remove duplicate `pingparsing` import in `monitor_agent.py`.
31. [x] Refactor `get_cpu_temperature` and `get_gpu_temperature` to call `sensors` command only once.
32. [x] Refactor `get_login_attempts` to use a position file for efficient log reading.
33. [x] Simplify JSON parsing in `analyze_data_with_llm`.
34. [x] Move LLM prompt to a separate function `build_llm_prompt`.
35. [x] Refactor main loop into smaller functions (`run_monitoring_cycle`, `main`).
36. [x] Create helper function in `data_storage.py` for calculating average metrics.
37. [x] Update `README.md` with current project status and improvements.
38. [x] Create `AGENTS.md` to document human and autonomous agents.
[x] Improve "high" priority detection by explicitly instructing LLM to output severity in structured JSON format.
[x] Implement dynamic contextual information (Known/Resolved Issues Feed) for LLM to improve severity detection.
## Network Scanning (Nmap Integration)
## TODO
1. [x] Add `python-nmap` to `requirements.txt` and install.
2. [x] Define `NMAP_TARGETS` and `NMAP_SCAN_OPTIONS` in `config.py`.
3. [x] Create a new function `get_nmap_scan_results()` in `monitor_agent.py`:
* [x] Use `python-nmap` to perform a scan on the defined targets with the specified options.
* [x] Return the parsed results.
4. [x] Integrate `get_nmap_scan_results()` into the main monitoring loop:
* [x] Call this function periodically (e.g., less frequently than other metrics).
* [x] Add the `nmap` results to the `combined_data` dictionary.
5. [x] Update `data_storage.py` to store `nmap` results.
6. [x] Extend `calculate_baselines()` in `data_storage.py` to include `nmap` baselines:
* [x] Compare current `nmap` results with historical data to identify changes.
7. [x] Modify `analyze_data_with_llm()` prompt to include `nmap` scan results for analysis.
8. [x] Consider how to handle `nmap` permissions.