feat: Implement initial setup for Django data processing server and Express API server with data computation scheduler.#18
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- Added HomeMap component to display a Mapbox map with geolocation features. - Updated Home page to render the HomeMap component. - Introduced PrivateLayout component for consistent layout structure. - Updated TypeScript configuration to include additional type definitions. - Added Mapbox GL and related dependencies to package.json and package-lock.json. - Created global.d.ts for Mapbox CSS module declaration.
…n points and define route data schema.
…nation selection with search and geolocation.
…th health insights.
…ith proper routing
…n insights and map integration.
… Mapbox integration.
… and introduce a route discovery panel.
…RouteItemClient components, and configure Next.js image domains.
… works, team, and testimonials sections.
…d weather data fetching utilities.
…ature - Updated type definitions to include �qiScore in RouteData. - Modified API response handling to extract AQI data from backend. - Enhanced UI component to display AQI information with color-coded categories. - Implemented AQI score calculation logic in the backend, including pollutant breakdown. - Added error handling for AQI data fetching and display. - Improved breakpoint calculation to optimize API calls for AQI data. - Updated documentation to reflect changes in AQI integration and testing procedures.
- Added scoring transformers in ransformers.py to calculate weather, AQI, and traffic scores. - Created functions for computing overall route scores based on environmental data. - Introduced batch processing for multiple routes in compute_batch_scores. - Established a cron job scheduler for periodic route score computation. - Developed a Pathway client for communication with the scoring server. - Added Redis utility for caching breakpoints. - Created MongoDB schemas for storing breakpoints and routes. - Documented backend architecture and data flow in README.md. - Added tests for new functionalities in the ests directory. - Updated requirements.txt with necessary dependencies.
…ute environmental scoring, integrated with client UI.
…Pathway with Python fallback and integrate with client and server components.
…version compatibility
…xpress API server with data computation scheduler.
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📝 WalkthroughWalkthroughDjango configuration enhanced with CORS support, production security hardening, and environment-based host normalization. Dependencies updated to pin Django 5.2.11, add django-cors-headers and pathway packages, and include gunicorn. Python runtime specified as 3.11.9. Scheduler behavior modified to initialize unconditionally on startup and extend execution interval from 15 to 30 minutes with simplified error handling. Changes
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⚠️ Outside diff range comments (3)
data-processing/dataProcessingServer/dataProcessingServer/settings.py (1)
1-11:⚠️ Potential issue | 🟡 MinorStale Django version in module docstring.
The docstring and documentation URLs reference Django 6.0.2 / 6.0, but the project is pinned to Django 5.2.11 per
requirements.txt. Update to avoid confusion:📝 Proposed fix
-Generated by 'django-admin startproject' using Django 6.0.2. +Generated by 'django-admin startproject' using Django 5.2.11. For more information on this file, see -https://docs.djangoproject.com/en/6.0/topics/settings/ +https://docs.djangoproject.com/en/5.2/topics/settings/ For the full list of settings and their values, see -https://docs.djangoproject.com/en/6.0/ref/settings/ +https://docs.djangoproject.com/en/5.2/ref/settings/🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@data-processing/dataProcessingServer/dataProcessingServer/settings.py` around lines 1 - 11, The module docstring in settings.py currently references Django 6.0.2/6.0 and docs URLs for Django 6.x; update that top-of-file docstring to reflect Django 5.2 (or 5.2.11 as pinned in requirements.txt) and change the documentation links to the corresponding 5.2 docs URLs (e.g., https://docs.djangoproject.com/en/5.2/ and the matching topics/ref pages) so the settings.py docstring accurately matches the project's pinned Django version.server/src/index.ts (1)
52-58:⚠️ Potential issue | 🟠 MajorMissing error handling on the Pathway health-check endpoint.
If
checkPathwayHealththrows (e.g., network error, DNS failure), the error is unhandled and Express will respond with a 500 and potentially leak stack traces in development. Wrap in try/catch like the adjacent endpoint.📝 Proposed fix
app.get("/api/v1/scheduler/pathway-health", tokenVerify, async (_req, res) => { - const pathwayUrl = process.env.PATHWAY_URL || "http://localhost:8001"; - const isHealthy = await checkPathwayHealth(pathwayUrl); - res.json({ - pathway: isHealthy ? "healthy" : "unhealthy", - }); + try { + const pathwayUrl = process.env.PATHWAY_URL || "http://localhost:8001"; + const isHealthy = await checkPathwayHealth(pathwayUrl); + res.json({ pathway: isHealthy ? "healthy" : "unhealthy" }); + } catch (error) { + console.error("Pathway health check failed:", error); + res.status(503).json({ pathway: "unhealthy", error: "Health check failed" }); + } });🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@server/src/index.ts` around lines 52 - 58, The pathway-health route handler (app.get("/api/v1/scheduler/pathway-health", tokenVerify, ...)) does not catch exceptions from checkPathwayHealth; wrap the handler body in a try/catch, call await checkPathwayHealth(pathwayUrl) inside the try, and in the catch log the error (use existing logger or console.error) and return a non-2xx response (e.g., res.status(503).json({ pathway: "unhealthy", error: "Pathway health check failed" })) so errors are handled consistently with the adjacent endpoint.server/src/utils/scheduler/computeData.scheduler.ts (1)
251-267:⚠️ Potential issue | 🟠 MajorRace condition:
_isRunningguard does not protectrunManualBatchScoring.
_isRunningonly gates the cron callback (line 255), butrunManualBatchScoring(line 272) callsrunBatchScoringdirectly without checking or setting_isRunning. This means:
- The startup run fired from
index.tscan overlap with the first cron tick.- An admin hitting
POST /api/v1/scheduler/runcan overlap with an in-progress cron run.Both scenarios cause concurrent
Route.updateOnecalls for the same documents.📝 Proposed fix — share the guard
export async function runManualBatchScoring(): Promise<void> { + if (_isRunning) { + console.warn("[Scheduler] Batch already in progress — skipping manual trigger"); + return; + } + _isRunning = true; + try { await runBatchScoring(); + } finally { + _isRunning = false; + } }🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@server/src/utils/scheduler/computeData.scheduler.ts` around lines 251 - 267, The _isRunning flag currently only guards the cron callback in initScheduler, allowing runManualBatchScoring and other callers to call runBatchScoring concurrently; update the code so the running guard is shared and enforced by runBatchScoring (or a small wrapper) instead of being local to the cron callback: move the _isRunning check/set/reset into a single place (e.g., at the top and finally of runBatchScoring or create a guardedRunBatch helper) and have initScheduler and runManualBatchScoring call that guarded entry (referencing _isRunning, initScheduler, runBatchScoring, runManualBatchScoring) so manual HTTP triggers and startup runs will respect the same in-flight guard and prevent overlapping Route.updateOne operations.
🧹 Nitpick comments (7)
server/src/utils/scheduler/computeData.scheduler.ts (2)
113-129:trafficValueis hardcoded to0— document or parameterize.If traffic data integration is planned, a
// TODOor constant with a comment would clarify intent. As-is, every route always sendstrafficValue: 0which could silently skew scores if the Pathway model weights traffic.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@server/src/utils/scheduler/computeData.scheduler.ts` around lines 113 - 129, The pathwayInput object currently sets trafficValue: 0 unconditionally which can misrepresent missing vs actual zero traffic; update the construction of PathwayRouteInput (variable pathwayInput) to either accept a trafficValue parameter or replace the literal with a named constant (e.g., TRAFFIC_UNAVAILABLE) and add a clear TODO comment explaining it's a placeholder until traffic integration is added, or compute it from routeOption (e.g., routeOption.trafficValue) if available; ensure PathwayRouteInput consumers understand the sentinel vs real value by documenting the change in the same block.
218-242:resultsarray is accumulated but never consumed.The
resultsarray (line 219) collects every batch result but is never returned, logged, or inspected. This is dead code that allocates memory for no purpose. Either remove it or return it fromrunBatchScoringso callers (e.g., the manual endpoint) can report outcomes.♻️ Option A — remove dead accumulation
- const results: Array<{ - success: boolean; - routeId: string; - routeOptionIndex: number; - newScore?: number; - error?: string; - }> = []; - for (let i = 0; i < tasks.length; i += BATCH_SIZE) { const batch = tasks.slice(i, i + BATCH_SIZE); - const batchResults = await Promise.all( + await Promise.all( batch.map((task) => processRoute(task.routeId, task.routeOptionIndex, task.routeOption) ) ); - results.push(...batchResults); - // Rate-limit friendly delay between batches🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@server/src/utils/scheduler/computeData.scheduler.ts` around lines 218 - 242, The results array being accumulated in runBatchScoring (collecting outputs from processRoute in BATCH_SIZE batches) is never used; either remove the accumulation or (preferred) change runBatchScoring to return the results array (typed as Array<{success:boolean;routeId:string;routeOptionIndex:number;newScore?:number;error?:string}>) so callers can inspect/log outcomes (e.g., the manual endpoint should await runBatchScoring and handle the returned results); update any callers to receive and use the returned results or remove the results push logic entirely if you choose to discard per-batch outcomes.data-processing/dataProcessingServer/dataProcessingServer/settings.py (2)
76-85: Use iterable unpacking instead of list concatenation (RUF005).Per the static analysis hint, prefer unpacking for clarity and a minor performance benefit:
♻️ Proposed fix
if _allowed_hosts_from_env: ALLOWED_HOSTS = _allowed_hosts_from_env else: - # Local dev: allow all localhost variants + Render hosts for production - ALLOWED_HOSTS = _render_hosts + [ + ALLOWED_HOSTS = [ + *_render_hosts, 'localhost', '127.0.0.1', '[::1]', # IPv6 localhost '.onrender.com', # Render.com deployments ]🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@data-processing/dataProcessingServer/dataProcessingServer/settings.py` around lines 76 - 85, The ALLOWED_HOSTS assignment uses list concatenation; change it to iterable unpacking to follow RUF005: when _allowed_hosts_from_env is falsy, set ALLOWED_HOSTS by unpacking _render_hosts and the explicit host strings ('.onrender.com', 'localhost', '127.0.0.1', '[::1]') into a single list/iterable instead of using _render_hosts + [...], ensuring the result remains a list assigned to ALLOWED_HOSTS.
144-158: Dev fallback CORS origins include port8001(Pathway server) — is this intentional?Ports
3000(Next.js) and8000(Node API) make sense as browser-facing origins. Port8001is the Pathway data-processing server, which is typically a backend-to-backend service that wouldn't make browser-originated cross-origin requests. Including it won't cause harm but may be unnecessary.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@data-processing/dataProcessingServer/dataProcessingServer/settings.py` around lines 144 - 158, The dev fallback currently sets CORS_ALLOWED_ORIGINS using _cors_env/_cors_from_env and includes localhost ports 8000, 3000 and 8001; remove the backend-only Pathway entries by deleting 'http://localhost:8001' and 'http://127.0.0.1:8001' from the fallback list (or replace them with a comment explaining they were intentionally omitted) so CORS_ALLOWED_ORIGINS only contains browser-facing origins; update the block that defines CORS_ALLOWED_ORIGINS and optionally add a clarifying inline comment near _cors_env/_cors_from_env to explain why 8001 is excluded.server/src/index.ts (1)
20-25: Hardcoded CORS origins — consider reading from environment.The allowed origins are hardcoded to
localhost:3000andbreathe.daemondoc.online. This is workable for now, but moving them to an environment variable (like done in the Django settings) would make deployments more flexible without code changes.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@server/src/index.ts` around lines 20 - 25, Replace the hardcoded origin list in the CORS middleware registration with a value read from an environment variable (e.g. process.env.CORS_ALLOWED_ORIGINS) and parse it into the array used by app.use(cors(...)); keep credentials: true and provide a sensible default fallback (e.g. ["http://localhost:3000"]) if the env var is missing or empty, and ensure the code that configures CORS (the app.use call and the cors(...) options) uses this parsed value so deployments can change allowed origins via env configuration.data-processing/dataProcessingServer/requirements.txt (2)
6-7: Consider adding an upper-bound pin fordjango-cors-headers.Using
>=4.3.0without an upper bound risks pulling in a future major version with breaking changes. A constraint like>=4.3.0,<5.0would be safer for reproducible builds while still allowing patch updates.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@data-processing/dataProcessingServer/requirements.txt` around lines 6 - 7, Update the django-cors-headers constraint in requirements.txt to add an upper-bound to avoid accidentally pulling a breaking major release; replace the open-ended spec "django-cors-headers>=4.3.0" with a bounded spec such as "django-cors-headers>=4.3.0,<5.0" so patch and minor updates are allowed but major version bumps are prevented.
20-21: Consider adding an upper-bound pin forgunicorn.Same concern as
django-cors-headers—>=21.0.0with no ceiling could introduce breaking changes on a future major release. Consider>=21.0.0,<23.0or similar.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@data-processing/dataProcessingServer/requirements.txt` around lines 20 - 21, Replace the open-ended dependency pin for gunicorn with a bounded range to avoid unexpected breaking changes; update the requirements entry for the package named "gunicorn" from "gunicorn>=21.0.0" to a range like "gunicorn>=21.0.0,<23.0" (or another appropriate upper bound) so newer major releases are excluded while allowing patch/minor updates.
🤖 Prompt for all review comments with AI agents
Verify each finding against the current code and only fix it if needed.
Inline comments:
In `@data-processing/dataProcessingServer/requirements.txt`:
- Around line 3-4: Update the stale Django version references: in
requirements.txt remove the hardcoded comment "Django (must match version
referenced in settings.py — Django 6.0.2)" and ensure the pinned dependency line
is exactly "Django==5.2.11"; in settings.py update the docstring occurrences
that mention "Django 6.0.2" to "Django 5.2.11" so docstrings and the
requirements pin match, and avoid embedding a specific version in the comment to
prevent future drift.
In `@server/src/utils/scheduler/computeData.scheduler.ts`:
- Around line 243-245: The top-level catch is swallowing infrastructure errors;
change it to catch the error object (e.g., catch (err)) and log a clear message
including the error/stack so failures from Route.find({}).lean() or other infra
issues are observable; update the catch in the same scope that calls
Route.find({}).lean() and wraps calls to processRoute to call your logger (e.g.,
processLogger.error or the module logger) with context like "computeData
scheduler: failed processing routes" plus the error details.
---
Outside diff comments:
In `@data-processing/dataProcessingServer/dataProcessingServer/settings.py`:
- Around line 1-11: The module docstring in settings.py currently references
Django 6.0.2/6.0 and docs URLs for Django 6.x; update that top-of-file docstring
to reflect Django 5.2 (or 5.2.11 as pinned in requirements.txt) and change the
documentation links to the corresponding 5.2 docs URLs (e.g.,
https://docs.djangoproject.com/en/5.2/ and the matching topics/ref pages) so the
settings.py docstring accurately matches the project's pinned Django version.
In `@server/src/index.ts`:
- Around line 52-58: The pathway-health route handler
(app.get("/api/v1/scheduler/pathway-health", tokenVerify, ...)) does not catch
exceptions from checkPathwayHealth; wrap the handler body in a try/catch, call
await checkPathwayHealth(pathwayUrl) inside the try, and in the catch log the
error (use existing logger or console.error) and return a non-2xx response
(e.g., res.status(503).json({ pathway: "unhealthy", error: "Pathway health check
failed" })) so errors are handled consistently with the adjacent endpoint.
In `@server/src/utils/scheduler/computeData.scheduler.ts`:
- Around line 251-267: The _isRunning flag currently only guards the cron
callback in initScheduler, allowing runManualBatchScoring and other callers to
call runBatchScoring concurrently; update the code so the running guard is
shared and enforced by runBatchScoring (or a small wrapper) instead of being
local to the cron callback: move the _isRunning check/set/reset into a single
place (e.g., at the top and finally of runBatchScoring or create a
guardedRunBatch helper) and have initScheduler and runManualBatchScoring call
that guarded entry (referencing _isRunning, initScheduler, runBatchScoring,
runManualBatchScoring) so manual HTTP triggers and startup runs will respect the
same in-flight guard and prevent overlapping Route.updateOne operations.
---
Nitpick comments:
In `@data-processing/dataProcessingServer/dataProcessingServer/settings.py`:
- Around line 76-85: The ALLOWED_HOSTS assignment uses list concatenation;
change it to iterable unpacking to follow RUF005: when _allowed_hosts_from_env
is falsy, set ALLOWED_HOSTS by unpacking _render_hosts and the explicit host
strings ('.onrender.com', 'localhost', '127.0.0.1', '[::1]') into a single
list/iterable instead of using _render_hosts + [...], ensuring the result
remains a list assigned to ALLOWED_HOSTS.
- Around line 144-158: The dev fallback currently sets CORS_ALLOWED_ORIGINS
using _cors_env/_cors_from_env and includes localhost ports 8000, 3000 and 8001;
remove the backend-only Pathway entries by deleting 'http://localhost:8001' and
'http://127.0.0.1:8001' from the fallback list (or replace them with a comment
explaining they were intentionally omitted) so CORS_ALLOWED_ORIGINS only
contains browser-facing origins; update the block that defines
CORS_ALLOWED_ORIGINS and optionally add a clarifying inline comment near
_cors_env/_cors_from_env to explain why 8001 is excluded.
In `@data-processing/dataProcessingServer/requirements.txt`:
- Around line 6-7: Update the django-cors-headers constraint in requirements.txt
to add an upper-bound to avoid accidentally pulling a breaking major release;
replace the open-ended spec "django-cors-headers>=4.3.0" with a bounded spec
such as "django-cors-headers>=4.3.0,<5.0" so patch and minor updates are allowed
but major version bumps are prevented.
- Around line 20-21: Replace the open-ended dependency pin for gunicorn with a
bounded range to avoid unexpected breaking changes; update the requirements
entry for the package named "gunicorn" from "gunicorn>=21.0.0" to a range like
"gunicorn>=21.0.0,<23.0" (or another appropriate upper bound) so newer major
releases are excluded while allowing patch/minor updates.
In `@server/src/index.ts`:
- Around line 20-25: Replace the hardcoded origin list in the CORS middleware
registration with a value read from an environment variable (e.g.
process.env.CORS_ALLOWED_ORIGINS) and parse it into the array used by
app.use(cors(...)); keep credentials: true and provide a sensible default
fallback (e.g. ["http://localhost:3000"]) if the env var is missing or empty,
and ensure the code that configures CORS (the app.use call and the cors(...)
options) uses this parsed value so deployments can change allowed origins via
env configuration.
In `@server/src/utils/scheduler/computeData.scheduler.ts`:
- Around line 113-129: The pathwayInput object currently sets trafficValue: 0
unconditionally which can misrepresent missing vs actual zero traffic; update
the construction of PathwayRouteInput (variable pathwayInput) to either accept a
trafficValue parameter or replace the literal with a named constant (e.g.,
TRAFFIC_UNAVAILABLE) and add a clear TODO comment explaining it's a placeholder
until traffic integration is added, or compute it from routeOption (e.g.,
routeOption.trafficValue) if available; ensure PathwayRouteInput consumers
understand the sentinel vs real value by documenting the change in the same
block.
- Around line 218-242: The results array being accumulated in runBatchScoring
(collecting outputs from processRoute in BATCH_SIZE batches) is never used;
either remove the accumulation or (preferred) change runBatchScoring to return
the results array (typed as
Array<{success:boolean;routeId:string;routeOptionIndex:number;newScore?:number;error?:string}>)
so callers can inspect/log outcomes (e.g., the manual endpoint should await
runBatchScoring and handle the returned results); update any callers to receive
and use the returned results or remove the results push logic entirely if you
choose to discard per-batch outcomes.
| # Django (must match version referenced in settings.py — Django 6.0.2) | ||
| Django>=6.0,<7.0 | ||
| Django==5.2.11 |
There was a problem hiding this comment.
🧩 Analysis chain
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find . -name "requirements.txt" -o -name "settings.py" | head -20Repository: kaihere14/BreathClean
Length of output: 192
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# Read the requirements.txt file to verify the actual content
cat -n data-processing/dataProcessingServer/requirements.txtRepository: kaihere14/BreathClean
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🌐 Web query:
Django 5.2.11 release
💡 Result:
Django 5.2.11 was released on February 3, 2026 (Django 5.2 LTS) as a security release. It fixes 6 security issues in 5.2.10: 3 “high”, 2 “moderate”, and 1 “low” severity. Key fixes include a PostGIS RasterField SQL injection (CVE-2026-1207), SQL injection vectors involving FilteredRelation/aliases (CVE-2026-1287, CVE-2026-1312), ASGI repeated-headers DoS (CVE-2025-14550), Truncator HTML DoS (CVE-2026-1285), and mod_wsgi auth timing-based username enumeration (CVE-2025-13473). [1][2]
Upgrade/install with pip:
pip install --upgrade "Django==5.2.11"The release is available via the official Django download page and on PyPI. [3][4]
Sources: Django 5.2.11 release notes [1], Django security announcement [2], Django downloads page [3], PyPI release history [4].
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cat -n data-processing/dataProcessingServer/dataProcessingServer/settings.py | head -50Repository: kaihere14/BreathClean
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Update stale Django version references in requirements.txt and settings.py.
Line 3 of requirements.txt states Django 6.0.2 but the actual pin is Django==5.2.11 (LTS). The same stale version appears in settings.py's docstring (lines 4, 7, 10). Update both files to reflect Django 5.2.11 and remove the hardcoded version number from the requirements.txt comment to avoid future drift.
📝 Suggested changes
requirements.txt:
-# Django (must match version referenced in settings.py — Django 6.0.2)
+# Django LTS (must match version referenced in settings.py)
Django==5.2.11settings.py (lines 4, 7, 10):
-Generated by 'django-admin startproject' using Django 6.0.2.
+Generated by 'django-admin startproject' using Django 5.2.11.
-https://docs.djangoproject.com/en/6.0/topics/settings/
+https://docs.djangoproject.com/en/5.2/topics/settings/
-https://docs.djangoproject.com/en/6.0/ref/settings/
+https://docs.djangoproject.com/en/5.2/ref/settings/🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@data-processing/dataProcessingServer/requirements.txt` around lines 3 - 4,
Update the stale Django version references: in requirements.txt remove the
hardcoded comment "Django (must match version referenced in settings.py — Django
6.0.2)" and ensure the pinned dependency line is exactly "Django==5.2.11"; in
settings.py update the docstring occurrences that mention "Django 6.0.2" to
"Django 5.2.11" so docstrings and the requirements pin match, and avoid
embedding a specific version in the comment to prevent future drift.
| } catch { | ||
| // silent — errors are captured per-route | ||
| } |
There was a problem hiding this comment.
Silent catch swallows infrastructure-level errors.
The comment says "errors are captured per-route," but a failure in Route.find({}).lean() (line 178) — e.g., a MongoDB connection drop — would be silently discarded here. Per-route error handling only covers errors inside processRoute. At minimum, log the top-level error so infrastructure failures are observable.
📝 Proposed fix
- } catch {
- // silent — errors are captured per-route
+ } catch (error) {
+ console.error("[BatchScoring] Top-level error:", error);
}📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| } catch { | |
| // silent — errors are captured per-route | |
| } | |
| } catch (error) { | |
| console.error("[BatchScoring] Top-level error:", error); | |
| } |
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@server/src/utils/scheduler/computeData.scheduler.ts` around lines 243 - 245,
The top-level catch is swallowing infrastructure errors; change it to catch the
error object (e.g., catch (err)) and log a clear message including the
error/stack so failures from Route.find({}).lean() or other infra issues are
observable; update the catch in the same scope that calls Route.find({}).lean()
and wraps calls to processRoute to call your logger (e.g., processLogger.error
or the module logger) with context like "computeData scheduler: failed
processing routes" plus the error details.
2 participants
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