data(smartphone): compute display ppi from resolution + size (51,557 records)

[Seungpyo1007]

Summary

Computes display pixel density (ppi) for smartphones from fields already in the record — pure geometry, no new/external data.

• display.ppi = round(sqrt(width² + height²) / size_inch) for 51,557 smartphones that have a resolution and screen size but no ppi.
• Coverage ppi ~26% → ~81%.
• Consistency-validated against the 24k records that already carry a source ppi: 89% exact match, 10% off-by-1 (rounding), only 0.4% differ by more — and those are Apple's marketed/rounded figures (e.g. iPhone "326") vs the true geometric density.
• Guards: requires w,h ≥ 32 and size > 0; rejects results outside [20, 2000] ppi.

Same deterministic method PR #107 used for monitors & laptops, now applied to the smartphone catalogue. All verified: false. Validation passes. Dump regenerated — 51,557 changed smartphone detail pages.

Closes #1

[Seungpyo1007]

🤖 TechEngine · data validation

category      changed   verified
smartphone     51,557     false

• python -m app.validate → ✅ passed (0 errors), 108,575 records / 10 categories.
• display.ppi coverage 24,255 → 75,812 (~26% → ~81% of smartphones).
• Cross-checked vs existing source ppi: 89% exact, 10% ±1, 0.4% >1 (Apple marketed figures).
• Dump regenerated: 51,557 smartphone detail pages (list summaries unaffected).

[Seungpyo1007]

🤖 TechEngine · verify (Tier 0)

Derivation, not import — the density is computed from resolution and size_inch that already live in each record:

• Formula round(sqrt(w²+h²)/size_inch) is the physical definition of pixel density; validated to reproduce the source's own ppi within ±1 for 99.6% of records that have both.
• Bounds guard rejects implausible inputs (tiny resolutions, non-positive size) and outputs outside [20, 2000].
• The ≤0.4% larger deltas are where the manufacturer published a rounded/marketed ppi; for records lacking ppi entirely, the geometric value is the honest measure.

verified unchanged (false). Safe to rebase-merge.

[TechEngineBot]

🔎 Data verification — Tier 0 (offline existence/trust)

Scored by app.verify; posted by TechEngineBot. Informational only — the structural gate (app.validate) is separate and authoritative for merge.

Changed records in this PR

No records scored.

Full-dataset baseline

105742 record(s) scored.

%%{init: {"theme":"base","themeVariables":{"pie1":"#3fb950","pie2":"#d29922","pie3":"#f85149","pieStrokeWidth":"0px","pieOpacity":"1"}}}%%
pie showData
    title Verification bands — all records
    "Green" : 13192
    "Yellow" : 90617
    "Red" : 1933

Loading

Category	Distribution	Total	🟢	🟡	🔴	🟢 %
brand	🟩🟨🟨🟨🟨🟨🟨🟨🟨🟨🟨🟨	207	24	183	0	11.6%
soc	🟩🟨🟨🟨🟨🟥🟥🟥🟥🟥🟥🟥	2104	123	680	1301	5.8%
smartphone	🟩🟨🟨🟨🟨🟨🟨🟨🟨🟨🟨🟥	93396	11602	81206	588	12.4%
tablet	🟩🟨🟨🟨🟨🟨🟨🟨🟨🟨🟨🟥	3455	174	3253	28	5.0%
watch	🟩🟨🟨🟨🟨🟨🟨🟨🟨🟨🟨🟥	433	11	412	10	2.5%
pda	🟩🟩🟨🟨🟨🟨🟨🟨🟨🟨🟨🟥	140	27	107	6	19.3%
gpu	🟩🟨🟨🟨🟨🟨🟨🟨🟨🟨🟨🟨	2030	245	1785	0	12.1%
cpu	🟩🟩🟩🟨🟨🟨🟨🟨🟨🟨🟨🟨	3977	986	2991	0	24.8%
All	🟩🟨🟨🟨🟨🟨🟨🟨🟨🟨🟨🟥	105742	13192	90617	1933	12.5%

_{green = authoritative source + complete + consistent · yellow = plausible, needs confirmation · red = sparse/weak source or a hard contradiction. Promotion to verified runs in the scheduled verify-network workflow.}

[TechEngineBot]

TechEngine change review: PASS

• PR: data(smartphone): compute display ppi from resolution + size (51,557 records) #112
• Ref: data/import-staging
• Commit: de9b435
• Requested by: @Seungpyo1007
• Run: https://github.com/GetTechAPI/TechEngine/actions/runs/28991580975

Check	Result
python -m app.validate	PASS
python integrity_check.py TechAPI/data --strict	PASS

Changed data

Category	Added	Modified	Deleted	Added verified	Added unverified	Added Kaggle-sourced
brand	0	0	0	0	0	0
soc	0	0	0	0	0	0
smartphone	0	0	0	0	0	0
tablet	0	0	0	0	0	0
watch	0	0	0	0	0	0
pda	0	0	0	0	0	0
gpu	0	0	0	0	0	0
cpu	0	0	0	0	0	0

Changed record examples

• No data file changes detected.

Heuristic review

• Heuristic warnings: none found.

[TechEngineBot]

TechEngine validation stats: PASS

• PR: data(smartphone): compute display ppi from resolution + size (51,557 records) #112
• Ref: data/import-staging
• Commit: de9b435
• Run: https://github.com/GetTechAPI/TechEngine/actions/runs/28991580975

Data summary

Category	Total	Verified	Unverified	Missing verified	Tracked	Verified % of tracked
brand	207	10	197	0	207	4.8%
soc	2104	123	1981	0	2104	5.8%
smartphone	93396	8453	84943	0	93396	9.1%
tablet	3455	174	3281	0	3455	5.0%
watch	433	11	422	0	433	2.5%
pda	140	27	113	0	140	19.3%
gpu	2030	244	1786	0	2030	12.0%
cpu	3977	986	2991	0	3977	24.8%
all	105742	10028	95714	0	105742	9.5%

Warning

Tracked verified coverage is below 50% for watch 2.5% (11/433), brand 4.8% (10/207), tablet 5.0% (174/3455), soc 5.8% (123/2104), smartphone 9.1% (8453/93396), all 9.5% (10028/105742), gpu 12.0% (244/2030), pda 19.3% (27/140), and 1 more.
Tracked coverage excludes records missing the verified field; see the Missing verified column for those records.
This does not fail validation. Keep imported records verified: false until manual audit, but treat this as follow-up verification work before relying on the affected categories as curated data.

Validation notes

• Full advisory outlier listings are suppressed on successful runs because they are dataset-wide and mostly stable between PRs.
• Failure runs still include a detailed log excerpt for debugging.

Key output:

## app.validate
## integrity_check.py --strict
loaded CPU=3977 GPU=2030
✅ integrity gate: no hard anomalies.

Integrity section	Flagged lines
structural	0
CPU name/tier consistency (desktop mainstream only)	0
CPU single>multi (cinebench/geekbench — should be multi>=single)	0
CPU era-vs-score outliers	8
CPU cross-source ratio outliers (possible wrong-variant)	152
GPU cross-source ratio outliers + sanity	18