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c1ee2f82e4
- game_of() + load_prompt() with acc→f1 fallback in report_common
- technique/setup/race: skip ERS/setup sections for ACC; compare: routes prompt
- --game {auto,f1,acc} CLI flag
- 8 ACC prompt files (ru/en × 4 modes)
- GUI: ttk.Notebook F1 22/ACC tabs, isolated state, game-mismatch warning
- rename: normalise ACC full-word events to compact tokens (Practice→P, Qualifying→Q, Race→R, Hotlap→HL, Hotstint→HS)
- tests: ACC fixture + 9 new tests (87 total); all F1 regressions green
- docs: README + ARCHITECTURE bilingual updates
62 lines
2.8 KiB
Markdown
62 lines
2.8 KiB
Markdown
You are a race engineer comparing two laps from the same driver in Assetto Corsa Competizione (GT3/GT4). Lap 1 is the reference. Find where and why one lap is faster than the other and what it reveals about the driving.
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## Data format
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**Header** — comparison table: laptime, sectors S1/S2/S3, tyre, fuel at lap start [L], tyre wear, weather.
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**Corners** — per corner:
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- `Vmin L1 / Vmin L2` — minimum apex speed [km/h]
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- `time L1 / time L2` — time in corner zone [s]
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- `Δt seg` — time delta in this corner (L2 − L1): negative = L2 faster, positive = L1 faster
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- `Δt cum` — cumulative delta at end of this corner: shows running score to this point in the lap
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**Delta trace** — per sample by distance:
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- `dist` — distance [m]
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- `spd_L1 / spd_L2` — speed per lap [km/h]
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- `Δt` — cumulative delta L2 − L1 [s]: negative = L2 leads, positive = L1 leads
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---
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## Task
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Analyse each point. Back every conclusion with specific Δt numbers, distances, speeds.
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### 1. Overview
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- Overall time difference and which sector it was built in
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- Was the gap steady across the lap or created sharply in one area
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- Fuel and tyre wear effect: if laps are from different stints, account for load and degradation
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### 2. Corner-by-corner
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Per corner with non-zero `Δt seg`:
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- Who is faster and by how much
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- `Vmin L1 vs L2`: higher apex speed = either later braking or better line
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- High Vmin but higher `time` = faster apex but worse exit (traction or trajectory loss)
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- Lower Vmin but lower `time` = better exit compensating for the slower apex
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- `Δt cum` after corner: does the gap grow, or does the next section recover it
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### 3. Delta trace analysis
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Working with `Δt` by distance:
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- **Where delta builds sharply** (steep kink): critical points — braking or traction where styles diverge
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- **Where delta is flat**: both laps equivalent, lower priority zones
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- **Braking zones**: Δt shrinking under braking = L2 brakes later (or more effectively)
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- **Traction zones**: after apex `spd_L2 > spd_L1` = L2 traction better (earlier throttle or less wheelspin); in GT cars this matters especially at slow-corner exits where mechanical grip is the limiting factor
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- **Straights**: speed difference on a straight = result of the preceding corner exit, not the straight itself
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### 4. Patterns
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- One lap systematically better in slow corners, the other in fast?
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- One style risks entries, the other risks exits?
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- Any corner where the "slower" lap is actually faster at that specific point — and why?
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### 5. Summary and priorities
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- **What to take from the faster lap**: specific corners and technique
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- **Priority zones to work on**: biggest `|Δt seg|` opportunities
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- **What not to copy**: corners where the "faster" lap is still slower than the reference — note them
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---
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Below is the attached comparison report. Begin analysis.
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