feat: implement multi-agent repository analysis integration#5
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skyfire707 wants to merge 1 commit into
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feat: implement multi-agent repository analysis integration#5skyfire707 wants to merge 1 commit into
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Reviewer's GuideImplements a multi-agent analysis subsystem with three domain-specific agents (code quality, compatibility, engagement), an integration engine that fuses and reconciles their outputs into a unified health report, and exposes this functionality via new DRF API endpoints and URL routes, including an agent health check. Sequence diagram for multi-agent analysis API requestsequenceDiagram
actor Client
participant MultiAgentAnalysisView
participant CodeQualityAgent
participant CompatibilityAgent
participant EngagementAgent
participant MultiAgentIntegrationEngine
Client->>MultiAgentAnalysisView: POST /api/multi-agent-analysis/
MultiAgentAnalysisView->>CodeQualityAgent: analyze
CodeQualityAgent-->>MultiAgentAnalysisView: code_output
MultiAgentAnalysisView->>CompatibilityAgent: analyze
CompatibilityAgent-->>MultiAgentAnalysisView: compatibility_output
MultiAgentAnalysisView->>EngagementAgent: analyze
EngagementAgent-->>MultiAgentAnalysisView: engagement_output
MultiAgentAnalysisView->>MultiAgentIntegrationEngine: add_agent_output(code_output)
MultiAgentAnalysisView->>MultiAgentIntegrationEngine: add_agent_output(compatibility_output)
MultiAgentAnalysisView->>MultiAgentIntegrationEngine: add_agent_output(engagement_output)
MultiAgentAnalysisView->>MultiAgentIntegrationEngine: integrate
MultiAgentIntegrationEngine-->>MultiAgentAnalysisView: unified_report
MultiAgentAnalysisView-->>Client: 200 OK (report)
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Hey - I've found 4 issues, and left some high level feedback:
- The
MultiAgentAnalysisViewis exposed withAllowAnyand executes a full repo scan and multiple DB queries on each request; consider restricting access or adding rate limiting/feature flagging to avoid potential abuse and performance degradation. - In
MultiAgentAnalysisView.post, the broadexcept Exception as ereturnsstr(e)directly to clients; consider logging the detailed error server-side and returning a generic error message in the response to avoid leaking internal details. - The
CodeQualityAgentwalks the entire repo from.and only skips a few directories; consider allowing a configurable root path and/or an ignore list (e.g., virtualenvs, large vendor dirs) to prevent unnecessary scanning and long-running requests.
Prompt for AI Agents
Please address the comments from this code review:
## Overall Comments
- The `MultiAgentAnalysisView` is exposed with `AllowAny` and executes a full repo scan and multiple DB queries on each request; consider restricting access or adding rate limiting/feature flagging to avoid potential abuse and performance degradation.
- In `MultiAgentAnalysisView.post`, the broad `except Exception as e` returns `str(e)` directly to clients; consider logging the detailed error server-side and returning a generic error message in the response to avoid leaking internal details.
- The `CodeQualityAgent` walks the entire repo from `.` and only skips a few directories; consider allowing a configurable root path and/or an ignore list (e.g., virtualenvs, large vendor dirs) to prevent unnecessary scanning and long-running requests.
## Individual Comments
### Comment 1
<location path="trip/tripmates/agents/compatibility_analyzer.py" line_range="31-33" />
<code_context>
+ "recommendations": self._generate_recommendations()
+ }
+
+ def _analyze_user_profiles(self):
+ """Analyze user persona distribution."""
+ if not self.users_data:
+ return
+
</code_context>
<issue_to_address>
**issue (bug_risk):** Potential AttributeError when `users_data` is empty because `self.metrics` is never initialized.
If `self.users_data` is empty, `_analyze_user_profiles` returns before `self.metrics` is set, but `analyze()` still calls `_analyze_trip_diversity` and `_get_findings`, which rely on `self.metrics` and will raise an `AttributeError`. Consider initializing `self.metrics = {}` in `__init__` or before the early return in `_analyze_user_profiles` to keep this path safe.
</issue_to_address>
### Comment 2
<location path="trip/tripmates/agents/compatibility_analyzer.py" line_range="47-51" />
<code_context>
+ "destination_preference_distribution": dict(dest_prefs)
+ }
+
+ def _analyze_trip_diversity(self):
+ """Analyze trip diversity and patterns."""
+ if not self.trips_data:
+ self.metrics["total_trips"] = 0
+ self.metrics["solo_ratio"] = 0.0
+ return
+
</code_context>
<issue_to_address>
**issue (bug_risk):** `group_ratio` is missing when there are no trips, leading to inconsistent metrics shape.
In the `not self.trips_data` branch you set `total_trips` and `solo_ratio` but omit `group_ratio`, while it’s always set in the non-empty case. This can break callers that assume `group_ratio` is always present. Please also set `group_ratio = 0.0` here to keep the metrics schema consistent.
</issue_to_address>
### Comment 3
<location path="trip/tripmates/views_agents.py" line_range="41" />
<code_context>
+
+ Returns a unified report with consolidated insights and recommendations.
+ """
+ permission_classes = [AllowAny] # Open for bounty evaluation
+
+ def post(self, request, *args, **kwargs):
</code_context>
<issue_to_address>
**🚨 issue (security):** Running a full repo scan and DB-wide analysis on an unauthenticated endpoint may be expensive and abusable.
This endpoint launches three agents, walks the entire repo, and loads unbounded sets of users, trips, requests, successful trips, and notifications. With `AllowAny`, anonymous clients can trigger this repeatedly, causing significant CPU and DB load. Consider tightening access (e.g., staff-only), adding rate limiting/throttling, or otherwise constraining usage to reduce abuse risk.
</issue_to_address>
### Comment 4
<location path="trip/tripmates/views_agents.py" line_range="72-75" />
<code_context>
+ "issue": f"{len(todos)} unresolved TODO/FIXME comments"
+ })
+
+ except Exception as e:
+ self.findings.append({
+ "severity": "low",
</code_context>
<issue_to_address>
**🚨 issue (security):** Returning the raw exception message to clients may leak internal details.
Here you’re sending `str(e)` back to the client, which can leak internal details (paths, query contents, etc.). Instead, log the full exception on the server and return a generic error identifier or high-level message, keeping the existing user-facing `detail` text if needed.
</issue_to_address>Help me be more useful! Please click 👍 or 👎 on each comment and I'll use the feedback to improve your reviews.
Comment on lines
+31
to
+33
| def _analyze_user_profiles(self): | ||
| """Analyze user persona distribution.""" | ||
| if not self.users_data: |
There was a problem hiding this comment.
issue (bug_risk): Potential AttributeError when users_data is empty because self.metrics is never initialized.
If self.users_data is empty, _analyze_user_profiles returns before self.metrics is set, but analyze() still calls _analyze_trip_diversity and _get_findings, which rely on self.metrics and will raise an AttributeError. Consider initializing self.metrics = {} in __init__ or before the early return in _analyze_user_profiles to keep this path safe.
Comment on lines
+47
to
+51
| def _analyze_trip_diversity(self): | ||
| """Analyze trip diversity and patterns.""" | ||
| if not self.trips_data: | ||
| self.metrics["total_trips"] = 0 | ||
| self.metrics["solo_ratio"] = 0.0 |
There was a problem hiding this comment.
issue (bug_risk): group_ratio is missing when there are no trips, leading to inconsistent metrics shape.
In the not self.trips_data branch you set total_trips and solo_ratio but omit group_ratio, while it’s always set in the non-empty case. This can break callers that assume group_ratio is always present. Please also set group_ratio = 0.0 here to keep the metrics schema consistent.
|
|
||
| Returns a unified report with consolidated insights and recommendations. | ||
| """ | ||
| permission_classes = [AllowAny] # Open for bounty evaluation |
There was a problem hiding this comment.
🚨 issue (security): Running a full repo scan and DB-wide analysis on an unauthenticated endpoint may be expensive and abusable.
This endpoint launches three agents, walks the entire repo, and loads unbounded sets of users, trips, requests, successful trips, and notifications. With AllowAny, anonymous clients can trigger this repeatedly, causing significant CPU and DB load. Consider tightening access (e.g., staff-only), adding rate limiting/throttling, or otherwise constraining usage to reduce abuse risk.
Comment on lines
+72
to
+75
| except Exception as e: | ||
| return Response({ | ||
| "success": False, | ||
| "error": str(e), |
There was a problem hiding this comment.
🚨 issue (security): Returning the raw exception message to clients may leak internal details.
Here you’re sending str(e) back to the client, which can leak internal details (paths, query contents, etc.). Instead, log the full exception on the server and return a generic error identifier or high-level message, keeping the existing user-facing detail text if needed.
3 tasks
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This PR implements the multi-agent analysis system as requested in #4.
Agents Implemented
Integration Engine
API Endpoints
Closes #4
Summary by Sourcery
Implement a multi-agent analysis system and expose unified analysis and health check APIs.
New Features:
Enhancements: