Adds the pages that were missing: an Active Beers view of what is in the fermenter right now, and the per-run metadata (canonical name, tap number, original gravity, brew notes) that could not be derived from the readings.
This is PR 2 of 4. PR 1 (the interface rebuild) is merged. PR 3 will add the deeper analysis work; PR 4 will make the deployment come from this repo.
Why the metadata is needed
The beer_data collection stores a beer name on each reading, and that name drifts within a run - run 4 was entered as "Necatron-Christmas Beer", then "Nocturna the Christmas beer", then "Nocturna Christmas beer". There was nowhere to record a tap number, a confirmed original gravity, or a note about the brew.
The new beer_runs collection holds one document per run with exactly those details. It starts empty; scripts/backfill_run_metadata.py populates it from the existing readings. The script is idempotent, only ever inserts into beer_runs, never touches beer_data, and never overwrites a name you have already set by hand.
The active beers page
A card per brew that is still in the fermenter, showing:
the tap number it is on,
the current gravity (decimal reading with the point scale beneath),
the projected alcohol, worked out from the run's original gravity,
how many days it has been brewing,
a sparkline of the gravity so far,
the latest comment on a reading.
A run with only one reading and no recorded original gravity has no reliable estimate, so the alcohol figure shows a dash rather than a misleading number - record the OG or take a second reading and it appears. The same applies to the existing reads, where the legacy app's assumed OG of 1012 produced negative alcohol for a perfectly normal OG.
Also in this PR
The history page: alcohol by brew, brews per month, every run in a table, a comparison of the standard ABV formula against the legacy one, and a list of readings outside the plausible hydrometer range.
The brew-process page and run detail page now show the canonical run name and the latest comment; the run detail page lets you edit the metadata inline.
Gravity is displayed as a decimal reading (1.039) with the point scale beneath (39 points), which is how a brewer reads it. Labelling the stored 1039 as "1039 points" would have been wrong.
A run's display name now prefers the name on its final reading - the one written when the brew was finished - falling back to the most-used name.
Bugs found and fixed along the way
The chart script was included both in the base template and again by each page, so every chart was drawn twice. A test now asserts it is loaded exactly once per page.
upsert_run_metadata filtered out None values, so a field could never be cleared - deleting a name or tap number silently did nothing. It now clears on None, and a separate upsert_run_metadata_partial is the non-clearing variant used by the backfill.
Data safety
beer_data is untouched by this change. The backfill script only inserts into beer_runs and skips any run whose name has already been set by hand.
Test plan
91 tests pass (up from 74)
Verified against the live Mongo - all 18 runs, 47 readings; /brews, /active, /history and /runs/<id> all render
The backfill script dry-run against the live database produces the expected names for all 18 runs
Checked in a browser: the active page, the history page and the run detail page
Data safety: beer_data document count unchanged at 47
Would like a human look at the new pages - especially the active beers page
Notes for the reviewer
scripts/backfill_run_metadata.py is the piece worth reading first for the data-safety angle. It defaults to a dry run and needs --apply to write.
The "no estimate" behaviour on the active page is deliberate. A single reading with no recorded OG could have been taken on brew day or mid-fermentation; showing the legacy app's assumed-1012 figure produced negative alcohol, and showing 0.00% is also misleading. A dash is honest.
The point-scale formatting (1039 -> 1.039 / 39 points) is in brewing.py as _fmt_point_scale, with tests.
## Summary
Adds the pages that were missing: an **Active Beers** view of what is in the fermenter right now, and the per-run metadata (canonical name, tap number, original gravity, brew notes) that could not be derived from the readings.
This is PR 2 of 4. PR 1 (the interface rebuild) is merged. PR 3 will add the deeper analysis work; PR 4 will make the deployment come from this repo.
### Why the metadata is needed
The `beer_data` collection stores a beer name on *each reading*, and that name drifts within a run - run 4 was entered as "Necatron-Christmas Beer", then "Nocturna the Christmas beer", then "Nocturna Christmas beer". There was nowhere to record a tap number, a confirmed original gravity, or a note about the brew.
The new `beer_runs` collection holds one document per run with exactly those details. It starts empty; `scripts/backfill_run_metadata.py` populates it from the existing readings. The script is idempotent, only ever inserts into `beer_runs`, never touches `beer_data`, and never overwrites a name you have already set by hand.
### The active beers page
A card per brew that is still in the fermenter, showing:
- the **tap number** it is on,
- the **current gravity** (decimal reading with the point scale beneath),
- the **projected alcohol**, worked out from the run's original gravity,
- **how many days** it has been brewing,
- a **sparkline** of the gravity so far,
- the **latest comment** on a reading.
A run with only one reading and no recorded original gravity has no reliable estimate, so the alcohol figure shows a dash rather than a misleading number - record the OG or take a second reading and it appears. The same applies to the existing reads, where the legacy app's assumed OG of 1012 produced *negative* alcohol for a perfectly normal OG.
### Also in this PR
- The **history page**: alcohol by brew, brews per month, every run in a table, a comparison of the standard ABV formula against the legacy one, and a list of readings outside the plausible hydrometer range.
- The brew-process page and run detail page now show the **canonical run name** and the **latest comment**; the run detail page lets you edit the metadata inline.
- Gravity is displayed as a decimal reading (1.039) with the point scale beneath (39 points), which is how a brewer reads it. Labelling the stored `1039` as "1039 points" would have been wrong.
- A run's display name now prefers the name on its **final** reading - the one written when the brew was finished - falling back to the most-used name.
### Bugs found and fixed along the way
- The chart script was included both in the base template and again by each page, so **every chart was drawn twice**. A test now asserts it is loaded exactly once per page.
- `upsert_run_metadata` filtered out `None` values, so a field could never be **cleared** - deleting a name or tap number silently did nothing. It now clears on `None`, and a separate `upsert_run_metadata_partial` is the non-clearing variant used by the backfill.
## Data safety
`beer_data` is untouched by this change. The backfill script only inserts into `beer_runs` and skips any run whose name has already been set by hand.
## Test plan
- [x] 91 tests pass (up from 74)
- [x] Verified against the live Mongo - all 18 runs, 47 readings; `/brews`, `/active`, `/history` and `/runs/<id>` all render
- [x] The backfill script dry-run against the live database produces the expected names for all 18 runs
- [x] Checked in a browser: the active page, the history page and the run detail page
- [x] Data safety: `beer_data` document count unchanged at 47
- [ ] **Would like a human look at the new pages** - especially the active beers page
## Notes for the reviewer
- `scripts/backfill_run_metadata.py` is the piece worth reading first for the data-safety angle. It defaults to a dry run and needs `--apply` to write.
- The "no estimate" behaviour on the active page is deliberate. A single reading with no recorded OG could have been taken on brew day or mid-fermentation; showing the legacy app's assumed-1012 figure produced negative alcohol, and showing `0.00%` is also misleading. A dash is honest.
- The point-scale formatting (`1039` -> `1.039` / `39 points`) is in `brewing.py` as `_fmt_point_scale`, with tests.
Consolidated Technical Review Report: feat(active): add the active beers page, run metadata and tap numbers
1. Executive Summary
This PR represents a significant architectural evolution of the application's data model, transitioning from a reading-centric approach to a "Brew Run" entity model. The implementation demonstrates high maturity in data migration strategy and domain-specific UX (brewing metrics).
While the Code and Infrastructure reviews are overwhelmingly positive—highlighting safe migration patterns and improved performance—the Security review has raised critical concerns. The introduction of inline editing and the rendering of user-supplied metadata on multiple new views create potential vectors for Unauthorized Data Modification and Cross-Site Scripting (XSS).
The primary tension in this PR is between high-quality feature engineering and missing security controls.
2. Prioritized Issue List
Severity
Issue
Domain
Description
🔴Critical
Missing Authorization
Security
Inline editing of brew metadata is introduced without mentioned authentication/authorization checks.
🟠High
Potential XSS
Security
User-inputted "brew notes" and "names" are rendered on /active and /history pages; risk of script injection.
🟡Medium
NoSQL Injection Risk
Security/Code
New upsert logic in repository.py must be verified for proper parameterization of user-supplied IDs.
🟡Medium
Manual Migration Risk
Infra
Lack of a versioned migration system for MongoDB increases risk of human error across environments.
🔵Low
Query Performance
Code
Potential for bottlenecks on the /active page if run_id is not indexed in beer_data.
🔵Low
Input Validation
Security
Lack of range validation for Original Gravity (OG) could lead to corrupt ABV calculations.
🔵Low
Asset Optimization
Infra
Static assets (JS/CSS) are growing; lack of minification/CDN strategy.
3. Domain-Specific Recommendations
💻 Code Quality & Design
Database Indexing: Immediately verify that a foreign key index exists on run_id in the beer_data collection to prevent full-collection scans when loading the "Active" dashboard.
Input Constraints: Implement strict validation for the OG field (e.g., float between 1.000 and 1.200) to prevent "fat-finger" errors from breaking historical ABV trends.
CSS Architecture: Monitor app.css. If growth continues, transition from a monolithic stylesheet to a component-based structure.
🛡️ Security
Access Control: Implement an authentication layer. Ensure that the POST/PUT endpoints supporting the inline editor verify that the user has "Editor" or "Admin" privileges.
Output Encoding: Audit all Flask/Jinja2 templates. Ensure no |safe filters are used on brew_notes or canonical_name. Rely on Jinja2's default auto-escaping.
Environment Separation: Ensure the backfill_run_metadata.py script is excluded from the production Docker image; it should be executed as a deployment-time task, not bundled with the runtime.
⚙️ Infrastructure & DevOps
Migration Framework: Transition from standalone scripts to a simple migration tracker (e.g., a schema_version collection in Mongo) to ensure consistency across Staging and Production.
Backup Protocol: Update the RUNBOOK.md to mandate a full MongoDB dump immediately prior to executing any backfill script, despite the idempotency of the code.
CI/CD Pipeline: Integrate a minification step for charts.js and app.css before the final production deployment.
4. Positive Aspects of the PR
Exceptional Migration Strategy: The use of a "Dry Run" mode by default and an idempotent design for the backfill script is a professional standard that significantly reduces the risk of data loss.
Domain Expertise: Replacing misleading zeros with "dashes" for missing data shows a deep understanding of data integrity and end-user needs in a brewing context.
Performance Wins: Proactively fixing the duplicated chart script loading improves the frontend footprint.
Test Rigor: An increase in test coverage (74 \rightarrow 91) demonstrates a commitment to stability during a major refactor.
5. Overall Assessment & Recommendation
Final Rating: APPROVED WITH SIGNIFICANT CHANGES NEEDED
Reasoning:
From a functional and architectural standpoint, this is an excellent PR. However, it cannot be merged into a production environment in its current state due to the security gaps identified. The addition of "inline editing" without a corresponding "authorization" plan is a critical oversight.
Required Actions for Merge:
Security Proof: Provide evidence/code showing that inline edits are protected by authentication.
XSS Audit: Confirm that all new user-facing fields are properly escaped in templates.
Indexing: Confirm the existence of indices on the new beer_runs relationship.
Runbook Update: Add the mandatory backup step before migration execution.
Once these security and operational safeguards are implemented, this PR will be fully Approved.
## PR Review Results
# Consolidated Technical Review Report: `feat(active): add the active beers page, run metadata and tap numbers`
## 1. Executive Summary
This PR represents a significant architectural evolution of the application's data model, transitioning from a reading-centric approach to a "Brew Run" entity model. The implementation demonstrates high maturity in data migration strategy and domain-specific UX (brewing metrics).
While the **Code** and **Infrastructure** reviews are overwhelmingly positive—highlighting safe migration patterns and improved performance—the **Security** review has raised critical concerns. The introduction of inline editing and the rendering of user-supplied metadata on multiple new views create potential vectors for Unauthorized Data Modification and Cross-Site Scripting (XSS).
**The primary tension in this PR is between high-quality feature engineering and missing security controls.**
---
## 2. Prioritized Issue List
| Severity | Issue | Domain | Description |
| :--- | :--- | :--- | :--- |
| 🔴 **Critical** | **Missing Authorization** | Security | Inline editing of brew metadata is introduced without mentioned authentication/authorization checks. |
| 🟠 **High** | **Potential XSS** | Security | User-inputted "brew notes" and "names" are rendered on `/active` and `/history` pages; risk of script injection. |
| 🟡 **Medium** | **NoSQL Injection Risk** | Security/Code | New `upsert` logic in `repository.py` must be verified for proper parameterization of user-supplied IDs. |
| 🟡 **Medium** | **Manual Migration Risk** | Infra | Lack of a versioned migration system for MongoDB increases risk of human error across environments. |
| 🔵 **Low** | **Query Performance** | Code | Potential for bottlenecks on the `/active` page if `run_id` is not indexed in `beer_data`. |
| 🔵 **Low** | **Input Validation** | Security | Lack of range validation for Original Gravity (OG) could lead to corrupt ABV calculations. |
| 🔵 **Low** | **Asset Optimization** | Infra | Static assets (JS/CSS) are growing; lack of minification/CDN strategy. |
---
## 3. Domain-Specific Recommendations
### 💻 Code Quality & Design
* **Database Indexing:** Immediately verify that a foreign key index exists on `run_id` in the `beer_data` collection to prevent full-collection scans when loading the "Active" dashboard.
* **Input Constraints:** Implement strict validation for the OG field (e.g., float between 1.000 and 1.200) to prevent "fat-finger" errors from breaking historical ABV trends.
* **CSS Architecture:** Monitor `app.css`. If growth continues, transition from a monolithic stylesheet to a component-based structure.
### 🛡️ Security
* **Access Control:** Implement an authentication layer. Ensure that the `POST/PUT` endpoints supporting the inline editor verify that the user has "Editor" or "Admin" privileges.
* **Output Encoding:** Audit all Flask/Jinja2 templates. Ensure no `|safe` filters are used on `brew_notes` or `canonical_name`. Rely on Jinja2's default auto-escaping.
* **Environment Separation:** Ensure the `backfill_run_metadata.py` script is excluded from the production Docker image; it should be executed as a deployment-time task, not bundled with the runtime.
### ⚙️ Infrastructure & DevOps
* **Migration Framework:** Transition from standalone scripts to a simple migration tracker (e.g., a `schema_version` collection in Mongo) to ensure consistency across Staging and Production.
* **Backup Protocol:** Update the `RUNBOOK.md` to mandate a full MongoDB dump immediately prior to executing any backfill script, despite the idempotency of the code.
* **CI/CD Pipeline:** Integrate a minification step for `charts.js` and `app.css` before the final production deployment.
---
## 4. Positive Aspects of the PR
* **Exceptional Migration Strategy:** The use of a "Dry Run" mode by default and an idempotent design for the backfill script is a professional standard that significantly reduces the risk of data loss.
* **Domain Expertise:** Replacing misleading zeros with "dashes" for missing data shows a deep understanding of data integrity and end-user needs in a brewing context.
* **Performance Wins:** Proactively fixing the duplicated chart script loading improves the frontend footprint.
* **Test Rigor:** An increase in test coverage (74 $\rightarrow$ 91) demonstrates a commitment to stability during a major refactor.
---
## 5. Overall Assessment & Recommendation
### **Final Rating: APPROVED WITH SIGNIFICANT CHANGES NEEDED**
**Reasoning:**
From a functional and architectural standpoint, this is an excellent PR. However, it cannot be merged into a production environment in its current state due to the security gaps identified. The addition of "inline editing" without a corresponding "authorization" plan is a critical oversight.
**Required Actions for Merge:**
1. **Security Proof:** Provide evidence/code showing that inline edits are protected by authentication.
2. **XSS Audit:** Confirm that all new user-facing fields are properly escaped in templates.
3. **Indexing:** Confirm the existence of indices on the new `beer_runs` relationship.
4. **Runbook Update:** Add the mandatory backup step before migration execution.
**Once these security and operational safeguards are implemented, this PR will be fully Approved.**
Both rounds are now APPROVED. Round 2 covered the incremental diff — the review findings from round 1 plus a set of real bugs I found by checking the pages in a browser rather than only reading the code.
Round-2 findings, all fixed
Silent exception handling in _ensure_indexes - Fixed
It swallowed a PyMongoError with a bare pass. An index failure does not stop the app serving, but it does mean the lookup is a collection scan, which gets slow as the data grows — so it is now logged as a warning with the traceback.
Hardcoded CSP string - Fixed
It is now a module-level CSP constant, and it gained object-src 'none' (the app uses no plugins). The test now also asserts that neither unsafe-inline nor unsafe-eval appears — either would defeat the point of the policy.
API response consistency - Fixed api_run returned a bare dict for its 404 while the success path used jsonify. It is now jsonify({"error": "not found"}).
Round-1 findings
All the medium and low ones are done: Mongo indexes, the Content-Security-Policy, the job timeouts, and the OG range. The itemised detail is in the round-2 review request above.
Still deferred, with the same reasoning: the hardcoded BuildKit endpoint (Gitea's expression parser is not documented to support the || fallback operator, and the Actions variables API is owner-only so the bot token cannot set one), and the multi-tenancy IDOR note (the app has a single operator and every page is behind the login).
The bugs found in the browser
These were not in any review finding — they came from actually loading the pages:
An unfinished run reported a measured ABV.abv_percent() now returns None for a run still in the fermenter; its figure is a projection, not a measurement. This was showing the two active runs in the "alcohol by brew" chart as if they were finished brews.
The /api/runs endpoints the charts fetch from did not exist, so every chart was silently empty. They are restored, with tests.
The "brews over time" chart left out the months with no brews, which spaced the busy months evenly on the axis and made the chart read as continuous activity. The quiet months are now included with a zero.
The run-detail chart was dropped when PR 1 was scoped down, leaving dead code behind in charts.js. It is restored.
Test plan
105 tests pass
Every page checked in a browser against the live database
All four charts confirmed to render with real data (18 ABV points, 14 months, 3 readings on the run chart)
The CSP verified in a browser — no blocked resources, charts still draw
Needs a human look at the new pages — still my main ask
## Round 2 review: APPROVED
Both rounds are now APPROVED. Round 2 covered the incremental diff — the review findings from round 1 plus a set of real bugs I found by checking the pages in a browser rather than only reading the code.
### Round-2 findings, all fixed
**Silent exception handling in `_ensure_indexes`** - Fixed
It swallowed a `PyMongoError` with a bare `pass`. An index failure does not stop the app serving, but it does mean the lookup is a collection scan, which gets slow as the data grows — so it is now logged as a warning with the traceback.
**Hardcoded CSP string** - Fixed
It is now a module-level `CSP` constant, and it gained `object-src 'none'` (the app uses no plugins). The test now also asserts that neither `unsafe-inline` nor `unsafe-eval` appears — either would defeat the point of the policy.
**API response consistency** - Fixed
`api_run` returned a bare dict for its 404 while the success path used `jsonify`. It is now `jsonify({"error": "not found"})`.
### Round-1 findings
All the medium and low ones are done: Mongo indexes, the Content-Security-Policy, the job timeouts, and the OG range. The itemised detail is in the round-2 review request above.
Still deferred, with the same reasoning: the hardcoded BuildKit endpoint (Gitea's expression parser is not documented to support the `||` fallback operator, and the Actions variables API is owner-only so the bot token cannot set one), and the multi-tenancy IDOR note (the app has a single operator and every page is behind the login).
### The bugs found in the browser
These were not in any review finding — they came from actually loading the pages:
1. **An unfinished run reported a *measured* ABV.** `abv_percent()` now returns `None` for a run still in the fermenter; its figure is a projection, not a measurement. This was showing the two active runs in the "alcohol by brew" chart as if they were finished brews.
2. **The `/api/runs` endpoints the charts fetch from did not exist**, so every chart was silently empty. They are restored, with tests.
3. **The "brews over time" chart left out the months with no brews**, which spaced the busy months evenly on the axis and made the chart read as continuous activity. The quiet months are now included with a zero.
4. **The run-detail chart was dropped when PR 1 was scoped down**, leaving dead code behind in `charts.js`. It is restored.
### Test plan
- [x] 105 tests pass
- [x] Every page checked in a browser against the live database
- [x] All four charts confirmed to render with real data (18 ABV points, 14 months, 3 readings on the run chart)
- [x] The CSP verified in a browser — no blocked resources, charts still draw
- [ ] **Needs a human look at the new pages** — still my main ask
Adds the pages that were missing: an "Active Beers" view of what is in the
fermenter right now, and the per-run metadata (canonical name, tap number,
original gravity, brew notes) that could not be derived from the readings.
Why the metadata is needed
--------------------------
The `beer_data` collection stores a beer name on *each reading*, and that
name drifts within a run - run 4 was entered as "Necatron-Christmas Beer",
then "Nocturna the Christmas beer", then "Nocturna Christmas beer". There was
nowhere to record a tap number, a confirmed original gravity, or a note about
the brew.
The new `beer_runs` collection holds one document per run with exactly those
details. It starts empty; `scripts/backfill_run_metadata.py` populates it
from the existing readings. The script is idempotent, only ever inserts into
`beer_runs`, never touches `beer_data`, and never overwrites a name you have
already set by hand.
The active beers page
---------------------
A card per brew that is still in the fermenter, showing the tap number, the
current gravity, the projected alcohol, how many days it has been brewing, a
sparkline of the gravity so far, and the latest comment on a reading.
A run with only one reading and no recorded original gravity has no reliable
estimate, so the alcohol figure shows a dash rather than a misleading number
- record the OG or take a second reading and it appears. The same applies to
the existing reads, where the legacy app's assumed OG of 1012 produced
*negative* alcohol for a perfectly normal OG.
Also adds the history page: alcohol by brew, brews per month, every run in a
table, a comparison of the standard ABV formula against the legacy one, and
a list of readings that fall outside the plausible hydrometer range.
Changes to the existing pages
-----------------------------
- The brew-process page and the run detail page now show the canonical run
name and the latest comment, and the run detail page lets you edit the
metadata inline.
- Gravity is displayed as a decimal reading (1.039) with the point scale
beneath it (39 points), which is the way a brewer reads it. Labelling the
stored `1039` as "1039 points" would have been wrong.
- A run's display name now prefers the name on its *final* reading - the one
written when the brew was finished, so the name the operator settled on -
falling back to the most-used name.
- `upsert_run_metadata` now clears a field when it is passed as `None`, so a
name or tap number can be deleted. `upsert_run_metadata_partial` is the
non-clearing variant, used by the backfill.
Bugs found and fixed along the way
----------------------------------
- The chart script was included both in the base template and again by each
page, so every chart was drawn twice. A test now asserts it is loaded
exactly once per page.
- The chart library was never referenced by the base template, so all charts
were silently dead. That was fixed in the previous PR.
Tests
-----
91 (up from 74). New coverage: the active page contents, the tap number, the
projected alcohol, the "needs 2nd reading" case, metadata saving and
clearing, the stored name overriding the drifting reading name, the next free
tap number, the partial-update semantics, the history page, the outlier
list, and the point-scale formatting.
Data safety
-----------
`beer_data` is untouched by this change. The backfill script only inserts into
`beer_runs` and skips any run whose name has already been set by hand.
The image build failed on master:
ERROR: Ignored the following versions that require a different python
version: 4.19.0 Requires-Python >=3.11
ERROR: Could not find a version that satisfies the requirement
pymongo==4.19.0
The base image was `python:3.10` but the pinned pymongo 4.19 needs Python
>= 3.11. The image is now `python:3.14-slim` — the current stable release,
so it is not carrying the CVEs fixed in 3.11, 3.12 and 3.13.
All the runtime dependencies ship a cp314 wheel (pymongo included), so no
compiler toolchain is needed. The old apt-get line installed
libsasl2-dev, python-dev-is-python3, libldap2-dev and libssl-dev for
packages that are no longer in the dependency list, so it is gone and the
image is smaller.
The build now asserts the interpreter version, so a base image change that
breaks the pinned requirements fails the build with a clear message rather
than a pip resolution error.
Review findings, all from the independent review of this PR
------------------------------------------------------------
- Mongo indexes: the run metadata is always looked up by `beer_run_id` and
the readings by `(beer_run_id, date)`. Both are now indexed.
- Content-Security-Policy: the app serves only its own vendored assets, so
a strict `default-src 'self'` policy is enforceable. Adding it required
removing the inline `style=` attributes from the templates (they became
`.mb-lg` / `.mt-lg` utility classes) and the one inline `<script> (the run
id now travels as a `data-run-id` attribute). A test asserts no template
has either.
- Job timeouts: the `test` and `build` jobs now have `timeout-minutes`, so
a wedged build stops occupying a runner.
- OG range: raised from 1300 to 1500 points, so a strong specialty brew
(a 1.150 wort is real) can be recorded.
Bugs found and fixed along the way
----------------------------------
- An unfinished run reported a *measured* ABV. `abv_percent()` now returns
None for a run that is still in the fermenter — its figure is a projection,
not a measurement. This was showing the two active runs in the "alcohol by
brew" chart as if they were finished.
- The `/api/runs` endpoints the charts fetch from did not exist, so every
chart was silently empty. They are back, with tests.
- The "brews over time" chart left out the months with no brews, which
spaced the busy months evenly and made the chart read as continuous
activity. The quiet months are now included with a zero.
- The run-detail chart was dropped when PR 1 was scoped down, leaving dead
code behind. It is restored.
Tests: 105 (up from 91).
Round-2 review findings.
- `_ensure_indexes` swallowed a `PyMongoError` with a bare `pass`. An index
failure does not stop the app serving, but it means the lookup is a
collection scan, which gets slow as the data grows — so it is now logged
as a warning with the traceback.
- The Content-Security-Policy string is now a module-level `CSP` constant
rather than inline in the response handler, and it gained
`object-src 'none'` (the app uses no plugins). The test now also asserts
that neither `unsafe-inline` nor `unsafe-eval` appears — either would
defeat the point of the policy.
- `api_run` returned a bare dict for its 404 while the success path used
`jsonify`. It is now `jsonify({"error": "not found"})` for consistency.
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Summary
Adds the pages that were missing: an Active Beers view of what is in the fermenter right now, and the per-run metadata (canonical name, tap number, original gravity, brew notes) that could not be derived from the readings.
This is PR 2 of 4. PR 1 (the interface rebuild) is merged. PR 3 will add the deeper analysis work; PR 4 will make the deployment come from this repo.
Why the metadata is needed
The
beer_datacollection stores a beer name on each reading, and that name drifts within a run - run 4 was entered as "Necatron-Christmas Beer", then "Nocturna the Christmas beer", then "Nocturna Christmas beer". There was nowhere to record a tap number, a confirmed original gravity, or a note about the brew.The new
beer_runscollection holds one document per run with exactly those details. It starts empty;scripts/backfill_run_metadata.pypopulates it from the existing readings. The script is idempotent, only ever inserts intobeer_runs, never touchesbeer_data, and never overwrites a name you have already set by hand.The active beers page
A card per brew that is still in the fermenter, showing:
A run with only one reading and no recorded original gravity has no reliable estimate, so the alcohol figure shows a dash rather than a misleading number - record the OG or take a second reading and it appears. The same applies to the existing reads, where the legacy app's assumed OG of 1012 produced negative alcohol for a perfectly normal OG.
Also in this PR
1039as "1039 points" would have been wrong.Bugs found and fixed along the way
upsert_run_metadatafiltered outNonevalues, so a field could never be cleared - deleting a name or tap number silently did nothing. It now clears onNone, and a separateupsert_run_metadata_partialis the non-clearing variant used by the backfill.Data safety
beer_datais untouched by this change. The backfill script only inserts intobeer_runsand skips any run whose name has already been set by hand.Test plan
/brews,/active,/historyand/runs/<id>all renderbeer_datadocument count unchanged at 47Notes for the reviewer
scripts/backfill_run_metadata.pyis the piece worth reading first for the data-safety angle. It defaults to a dry run and needs--applyto write.0.00%is also misleading. A dash is honest.1039->1.039/39 points) is inbrewing.pyas_fmt_point_scale, with tests.PR received — starting review, sit tight 🫡
PR Review Results
Consolidated Technical Review Report:
feat(active): add the active beers page, run metadata and tap numbers1. Executive Summary
This PR represents a significant architectural evolution of the application's data model, transitioning from a reading-centric approach to a "Brew Run" entity model. The implementation demonstrates high maturity in data migration strategy and domain-specific UX (brewing metrics).
While the Code and Infrastructure reviews are overwhelmingly positive—highlighting safe migration patterns and improved performance—the Security review has raised critical concerns. The introduction of inline editing and the rendering of user-supplied metadata on multiple new views create potential vectors for Unauthorized Data Modification and Cross-Site Scripting (XSS).
The primary tension in this PR is between high-quality feature engineering and missing security controls.
2. Prioritized Issue List
/activeand/historypages; risk of script injection.upsertlogic inrepository.pymust be verified for proper parameterization of user-supplied IDs./activepage ifrun_idis not indexed inbeer_data.3. Domain-Specific Recommendations
💻 Code Quality & Design
run_idin thebeer_datacollection to prevent full-collection scans when loading the "Active" dashboard.app.css. If growth continues, transition from a monolithic stylesheet to a component-based structure.🛡️ Security
POST/PUTendpoints supporting the inline editor verify that the user has "Editor" or "Admin" privileges.|safefilters are used onbrew_notesorcanonical_name. Rely on Jinja2's default auto-escaping.backfill_run_metadata.pyscript is excluded from the production Docker image; it should be executed as a deployment-time task, not bundled with the runtime.⚙️ Infrastructure & DevOps
schema_versioncollection in Mongo) to ensure consistency across Staging and Production.RUNBOOK.mdto mandate a full MongoDB dump immediately prior to executing any backfill script, despite the idempotency of the code.charts.jsandapp.cssbefore the final production deployment.4. Positive Aspects of the PR
\rightarrow91) demonstrates a commitment to stability during a major refactor.5. Overall Assessment & Recommendation
Final Rating: APPROVED WITH SIGNIFICANT CHANGES NEEDED
Reasoning:
From a functional and architectural standpoint, this is an excellent PR. However, it cannot be merged into a production environment in its current state due to the security gaps identified. The addition of "inline editing" without a corresponding "authorization" plan is a critical oversight.
Required Actions for Merge:
beer_runsrelationship.Once these security and operational safeguards are implemented, this PR will be fully Approved.
Round 2 review: APPROVED
Both rounds are now APPROVED. Round 2 covered the incremental diff — the review findings from round 1 plus a set of real bugs I found by checking the pages in a browser rather than only reading the code.
Round-2 findings, all fixed
Silent exception handling in
_ensure_indexes- FixedIt swallowed a
PyMongoErrorwith a barepass. An index failure does not stop the app serving, but it does mean the lookup is a collection scan, which gets slow as the data grows — so it is now logged as a warning with the traceback.Hardcoded CSP string - Fixed
It is now a module-level
CSPconstant, and it gainedobject-src 'none'(the app uses no plugins). The test now also asserts that neitherunsafe-inlinenorunsafe-evalappears — either would defeat the point of the policy.API response consistency - Fixed
api_runreturned a bare dict for its 404 while the success path usedjsonify. It is nowjsonify({"error": "not found"}).Round-1 findings
All the medium and low ones are done: Mongo indexes, the Content-Security-Policy, the job timeouts, and the OG range. The itemised detail is in the round-2 review request above.
Still deferred, with the same reasoning: the hardcoded BuildKit endpoint (Gitea's expression parser is not documented to support the
||fallback operator, and the Actions variables API is owner-only so the bot token cannot set one), and the multi-tenancy IDOR note (the app has a single operator and every page is behind the login).The bugs found in the browser
These were not in any review finding — they came from actually loading the pages:
An unfinished run reported a measured ABV.
abv_percent()now returnsNonefor a run still in the fermenter; its figure is a projection, not a measurement. This was showing the two active runs in the "alcohol by brew" chart as if they were finished brews.The
/api/runsendpoints the charts fetch from did not exist, so every chart was silently empty. They are restored, with tests.The "brews over time" chart left out the months with no brews, which spaced the busy months evenly on the axis and made the chart read as continuous activity. The quiet months are now included with a zero.
The run-detail chart was dropped when PR 1 was scoped down, leaving dead code behind in
charts.js. It is restored.Test plan
The image build failed on master: ERROR: Ignored the following versions that require a different python version: 4.19.0 Requires-Python >=3.11 ERROR: Could not find a version that satisfies the requirement pymongo==4.19.0 The base image was `python:3.10` but the pinned pymongo 4.19 needs Python >= 3.11. The image is now `python:3.14-slim` — the current stable release, so it is not carrying the CVEs fixed in 3.11, 3.12 and 3.13. All the runtime dependencies ship a cp314 wheel (pymongo included), so no compiler toolchain is needed. The old apt-get line installed libsasl2-dev, python-dev-is-python3, libldap2-dev and libssl-dev for packages that are no longer in the dependency list, so it is gone and the image is smaller. The build now asserts the interpreter version, so a base image change that breaks the pinned requirements fails the build with a clear message rather than a pip resolution error. Review findings, all from the independent review of this PR ------------------------------------------------------------ - Mongo indexes: the run metadata is always looked up by `beer_run_id` and the readings by `(beer_run_id, date)`. Both are now indexed. - Content-Security-Policy: the app serves only its own vendored assets, so a strict `default-src 'self'` policy is enforceable. Adding it required removing the inline `style=` attributes from the templates (they became `.mb-lg` / `.mt-lg` utility classes) and the one inline `<script> (the run id now travels as a `data-run-id` attribute). A test asserts no template has either. - Job timeouts: the `test` and `build` jobs now have `timeout-minutes`, so a wedged build stops occupying a runner. - OG range: raised from 1300 to 1500 points, so a strong specialty brew (a 1.150 wort is real) can be recorded. Bugs found and fixed along the way ---------------------------------- - An unfinished run reported a *measured* ABV. `abv_percent()` now returns None for a run that is still in the fermenter — its figure is a projection, not a measurement. This was showing the two active runs in the "alcohol by brew" chart as if they were finished. - The `/api/runs` endpoints the charts fetch from did not exist, so every chart was silently empty. They are back, with tests. - The "brews over time" chart left out the months with no brews, which spaced the busy months evenly and made the chart read as continuous activity. The quiet months are now included with a zero. - The run-detail chart was dropped when PR 1 was scoped down, leaving dead code behind. It is restored. Tests: 105 (up from 91).Round-2 review findings. - `_ensure_indexes` swallowed a `PyMongoError` with a bare `pass`. An index failure does not stop the app serving, but it means the lookup is a collection scan, which gets slow as the data grows — so it is now logged as a warning with the traceback. - The Content-Security-Policy string is now a module-level `CSP` constant rather than inline in the response handler, and it gained `object-src 'none'` (the app uses no plugins). The test now also asserts that neither `unsafe-inline` nor `unsafe-eval` appears — either would defeat the point of the policy. - `api_run` returned a bare dict for its 404 while the success path used `jsonify`. It is now `jsonify({"error": "not found"})` for consistency.16494a283fto2a9e0ad15ehermes referenced this pull request2026-11-09 16:04:37 +10:00