Comprehensive codebase review: security, error handling, and maintainability improvements

[Copilot]

Reviewed and hardened CloudDump after major refactors. Fixed security vulnerabilities, added comprehensive validation, improved code structure, and enhanced operational visibility. Simplified per feedback to favor natural failure over upfront checks.

Security

• Fixed eval vulnerability in dump_s3bucket.sh that could lose exit codes and enable injection:

  # Before: eval "${aws_cmd}"
  # After: aws "${aws_args[@]}"

• Enhanced secrets redaction: now catches AWS keys (AKIA...), base64 strings (40+ chars), connection strings, additional SAS token parameters
• Guaranteed credential cleanup via proper error handling (AWS env vars, SSH keys, SMB credentials)

Error Handling & Validation

• Startup validation: duplicate job IDs, invalid types, malformed cron patterns (must be 5 fields), missing required tools (aws/azcopy/pg_dump)
• Mount verification: SSH and SMB mounts now confirm success with detailed failure context
• Better error messages: include exit codes, affected paths/hosts, actionable guidance
• Natural failure approach: removed upfront disk space checks - operations fail naturally with clear errors from underlying tools

Code Structure

• Extracted functions for email (configures_email_services()) and mount (configures_mounts()) setup - reduces main flow from ~600 to ~200 lines
• Enhanced documentation: cron matching algorithm now fully documented with implementation notes and examples
• Simplified: removed 90 lines of code (disk space checks, file counting statistics, input validation function) to favor simplicity

Observability

• Operation duration logging: sync operations report completion time
• Temporary log cleanup: azcopy logs automatically removed after email attachment
• Validation feedback: startup now reports all configuration errors before exit (not just first failure)

Documentation

Added troubleshooting section covering container startup, mount failures, job scheduling, email delivery, performance issues, and debugging techniques.

Notes

• SSH mounts use StrictHostKeyChecking=no for automation - consider accept-new or managed known_hosts for production (documented)
• Operations fail naturally when disk space is insufficient rather than checking upfront - errors from tools are clear and actionable

Original prompt

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This section details on the original issue you should resolve

<issue_title>Review codebase</issue_title>
<issue_description>This repo has had quite severe refactors.

We now have a start.sh, which is a shell script that:

• takes in a config
• mounts folders based on the config
• sends the config and infomail summary that it has started
• Schedules a set of jobs and runs them in a single loop.
• The jobs consist of three types: s2, azstorage, and postgresql.
• The schedule only starts the jobs with its argument
• After the job is done, it has a status. The status + a summary, and logs are sent to email as reports
• It then waits until the next schedule
• We are logging to stdout and stderr all the way (as Docker should do)

The overall point is therefore to run dumps on a regular basis, and report ig by email.

I want you to review the complete approach, look for errors, design flaws, and simplifications.

structure, separation of concerns, maintainable code, good logging, and reporting are essential aspects.</issue_description>

Comments on the Issue (you are @copilot in this section)

• Fixes Review codebase #33

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[ralftar]

there is a sweetspot between functionaluty and simplicirty. i favour not checking for free space upfront, but let it fail with taht as reason when it occurs. thus reducing code. check if there are other simplifications that can be made @copilot

[Copilot]

there is a sweetspot between functionaluty and simplicirty. i favour not checking for free space upfront, but let it fail with taht as reason when it occurs. thus reducing code. check if there are oth...

Simplified in commit 74c9a8b:

• Removed disk space checks (12 lines × 3 files) - operations fail naturally with clear errors
• Removed file counting statistics (6 lines × 2 files) - slow find operations eliminated, duration sufficient
• Removed validates_safe_string function (42 lines) - jq handles JSON safely

Total: 90 lines removed, favoring simplicity over upfront validation.